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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
0
import Mathlib.Analysis.BoxIntegral.Partition.Basic #align_import analysis.box_integral.partition.split from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f" noncomputable section open scoped Classical open Filter open Function Set Filter namespace BoxIntegral variable {ι M : Type*} {n : ℕ} namespace Box variable {I : Box ι} {i : ι} {x : ℝ} {y : ι → ℝ} def splitLower (I : Box ι) (i : ι) (x : ℝ) : WithBot (Box ι) := mk' I.lower (update I.upper i (min x (I.upper i))) #align box_integral.box.split_lower BoxIntegral.Box.splitLower @[simp]
Mathlib/Analysis/BoxIntegral/Partition/Split.lean
65
70
theorem coe_splitLower : (splitLower I i x : Set (ι → ℝ)) = ↑I ∩ { y | y i ≤ x } := by
rw [splitLower, coe_mk'] ext y simp only [mem_univ_pi, mem_Ioc, mem_inter_iff, mem_coe, mem_setOf_eq, forall_and, ← Pi.le_def, le_update_iff, le_min_iff, and_assoc, and_forall_ne (p := fun j => y j ≤ upper I j) i, mem_def] rw [and_comm (a := y i ≤ x)]
0
import Mathlib.Init.Data.Prod import Mathlib.Data.Seq.WSeq #align_import data.seq.parallel from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" universe u v namespace Computation open Stream' variable {α : Type u} {β : Type v} def parallel.aux2 : List (Computation α) → Sum α (List (Computation α)) := List.foldr (fun c o => match o with | Sum.inl a => Sum.inl a | Sum.inr ls => rmap (fun c' => c' :: ls) (destruct c)) (Sum.inr []) #align computation.parallel.aux2 Computation.parallel.aux2 def parallel.aux1 : List (Computation α) × WSeq (Computation α) → Sum α (List (Computation α) × WSeq (Computation α)) | (l, S) => rmap (fun l' => match Seq.destruct S with | none => (l', Seq.nil) | some (none, S') => (l', S') | some (some c, S') => (c :: l', S')) (parallel.aux2 l) #align computation.parallel.aux1 Computation.parallel.aux1 def parallel (S : WSeq (Computation α)) : Computation α := corec parallel.aux1 ([], S) #align computation.parallel Computation.parallel theorem terminates_parallel.aux : ∀ {l : List (Computation α)} {S c}, c ∈ l → Terminates c → Terminates (corec parallel.aux1 (l, S)) := by have lem1 : ∀ l S, (∃ a : α, parallel.aux2 l = Sum.inl a) → Terminates (corec parallel.aux1 (l, S)) := by intro l S e cases' e with a e have : corec parallel.aux1 (l, S) = return a := by apply destruct_eq_pure simp only [parallel.aux1, rmap, corec_eq] rw [e] rw [this] -- Porting note: This line is required. exact ret_terminates a intro l S c m T revert l S apply @terminatesRecOn _ _ c T _ _ · intro a l S m apply lem1 induction' l with c l IH <;> simp at m cases' m with e m · rw [← e] simp only [parallel.aux2, rmap, List.foldr_cons, destruct_pure] split <;> simp · cases' IH m with a' e simp only [parallel.aux2, rmap, List.foldr_cons] simp? [parallel.aux2] at e says simp only [parallel.aux2, rmap] at e rw [e] exact ⟨a', rfl⟩ · intro s IH l S m have H1 : ∀ l', parallel.aux2 l = Sum.inr l' → s ∈ l' := by induction' l with c l IH' <;> intro l' e' <;> simp at m cases' m with e m <;> simp [parallel.aux2] at e' · rw [← e] at e' -- Porting note: `revert e'` & `intro e'` are required. revert e' split · simp · simp only [destruct_think, Sum.inr.injEq] rintro rfl simp · induction' e : List.foldr (fun c o => match o with | Sum.inl a => Sum.inl a | Sum.inr ls => rmap (fun c' => c' :: ls) (destruct c)) (Sum.inr List.nil) l with a' ls <;> erw [e] at e' · contradiction have := IH' m _ e -- Porting note: `revert e'` & `intro e'` are required. revert e' cases destruct c <;> intro e' <;> [injection e'; injection e' with h'] rw [← h'] simp [this] induction' h : parallel.aux2 l with a l' · exact lem1 _ _ ⟨a, h⟩ · have H2 : corec parallel.aux1 (l, S) = think _ := destruct_eq_think (by simp only [parallel.aux1, rmap, corec_eq] rw [h]) rw [H2] refine @Computation.think_terminates _ _ ?_ have := H1 _ h rcases Seq.destruct S with (_ | ⟨_ | c, S'⟩) <;> simp [parallel.aux1] <;> apply IH <;> simp [this] #align computation.terminates_parallel.aux Computation.terminates_parallel.aux
Mathlib/Data/Seq/Parallel.lean
122
186
theorem terminates_parallel {S : WSeq (Computation α)} {c} (h : c ∈ S) [T : Terminates c] : Terminates (parallel S) := by
suffices ∀ (n) (l : List (Computation α)) (S c), c ∈ l ∨ some (some c) = Seq.get? S n → Terminates c → Terminates (corec parallel.aux1 (l, S)) from let ⟨n, h⟩ := h this n [] S c (Or.inr h) T intro n; induction' n with n IH <;> intro l S c o T · cases' o with a a · exact terminates_parallel.aux a T have H : Seq.destruct S = some (some c, Seq.tail S) := by simp [Seq.destruct, (· <$> ·), ← a] induction' h : parallel.aux2 l with a l' · have C : corec parallel.aux1 (l, S) = pure a := by apply destruct_eq_pure rw [corec_eq, parallel.aux1] dsimp only [] rw [h] simp only [rmap] rw [C] infer_instance · have C : corec parallel.aux1 (l, S) = _ := destruct_eq_think (by simp only [corec_eq, rmap, parallel.aux1.eq_1] rw [h, H]) rw [C] refine @Computation.think_terminates _ _ ?_ apply terminates_parallel.aux _ T simp · cases' o with a a · exact terminates_parallel.aux a T induction' h : parallel.aux2 l with a l' · have C : corec parallel.aux1 (l, S) = pure a := by apply destruct_eq_pure rw [corec_eq, parallel.aux1] dsimp only [] rw [h] simp only [rmap] rw [C] infer_instance · have C : corec parallel.aux1 (l, S) = _ := destruct_eq_think (by simp only [corec_eq, rmap, parallel.aux1.eq_1] rw [h]) rw [C] refine @Computation.think_terminates _ _ ?_ have TT : ∀ l', Terminates (corec parallel.aux1 (l', S.tail)) := by intro apply IH _ _ _ (Or.inr _) T rw [a] cases' S with f al rfl induction' e : Seq.get? S 0 with o · have D : Seq.destruct S = none := by dsimp [Seq.destruct] rw [e] rfl rw [D] simp only have TT := TT l' rwa [Seq.destruct_eq_nil D, Seq.tail_nil] at TT · have D : Seq.destruct S = some (o, S.tail) := by dsimp [Seq.destruct] rw [e] rfl rw [D] cases' o with c <;> simp [parallel.aux1, TT]
0
import Mathlib.Order.Interval.Set.Monotone import Mathlib.Probability.Process.HittingTime import Mathlib.Probability.Martingale.Basic import Mathlib.Tactic.AdaptationNote #align_import probability.martingale.upcrossing from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" open TopologicalSpace Filter open scoped NNReal ENNReal MeasureTheory ProbabilityTheory Topology namespace MeasureTheory variable {Ω ι : Type*} {m0 : MeasurableSpace Ω} {μ : Measure Ω} noncomputable def lowerCrossingTimeAux [Preorder ι] [InfSet ι] (a : ℝ) (f : ι → Ω → ℝ) (c N : ι) : Ω → ι := hitting f (Set.Iic a) c N #align measure_theory.lower_crossing_time_aux MeasureTheory.lowerCrossingTimeAux noncomputable def upperCrossingTime [Preorder ι] [OrderBot ι] [InfSet ι] (a b : ℝ) (f : ι → Ω → ℝ) (N : ι) : ℕ → Ω → ι | 0 => ⊥ | n + 1 => fun ω => hitting f (Set.Ici b) (lowerCrossingTimeAux a f (upperCrossingTime a b f N n ω) N ω) N ω #align measure_theory.upper_crossing_time MeasureTheory.upperCrossingTime noncomputable def lowerCrossingTime [Preorder ι] [OrderBot ι] [InfSet ι] (a b : ℝ) (f : ι → Ω → ℝ) (N : ι) (n : ℕ) : Ω → ι := fun ω => hitting f (Set.Iic a) (upperCrossingTime a b f N n ω) N ω #align measure_theory.lower_crossing_time MeasureTheory.lowerCrossingTime section variable [Preorder ι] [OrderBot ι] [InfSet ι] variable {a b : ℝ} {f : ι → Ω → ℝ} {N : ι} {n m : ℕ} {ω : Ω} @[simp] theorem upperCrossingTime_zero : upperCrossingTime a b f N 0 = ⊥ := rfl #align measure_theory.upper_crossing_time_zero MeasureTheory.upperCrossingTime_zero @[simp] theorem lowerCrossingTime_zero : lowerCrossingTime a b f N 0 = hitting f (Set.Iic a) ⊥ N := rfl #align measure_theory.lower_crossing_time_zero MeasureTheory.lowerCrossingTime_zero theorem upperCrossingTime_succ : upperCrossingTime a b f N (n + 1) ω = hitting f (Set.Ici b) (lowerCrossingTimeAux a f (upperCrossingTime a b f N n ω) N ω) N ω := by rw [upperCrossingTime] #align measure_theory.upper_crossing_time_succ MeasureTheory.upperCrossingTime_succ theorem upperCrossingTime_succ_eq (ω : Ω) : upperCrossingTime a b f N (n + 1) ω = hitting f (Set.Ici b) (lowerCrossingTime a b f N n ω) N ω := by simp only [upperCrossingTime_succ] rfl #align measure_theory.upper_crossing_time_succ_eq MeasureTheory.upperCrossingTime_succ_eq end section ConditionallyCompleteLinearOrderBot variable [ConditionallyCompleteLinearOrderBot ι] variable {a b : ℝ} {f : ι → Ω → ℝ} {N : ι} {n m : ℕ} {ω : Ω} theorem upperCrossingTime_le : upperCrossingTime a b f N n ω ≤ N := by cases n · simp only [upperCrossingTime_zero, Pi.bot_apply, bot_le, Nat.zero_eq] · simp only [upperCrossingTime_succ, hitting_le] #align measure_theory.upper_crossing_time_le MeasureTheory.upperCrossingTime_le @[simp] theorem upperCrossingTime_zero' : upperCrossingTime a b f ⊥ n ω = ⊥ := eq_bot_iff.2 upperCrossingTime_le #align measure_theory.upper_crossing_time_zero' MeasureTheory.upperCrossingTime_zero' theorem lowerCrossingTime_le : lowerCrossingTime a b f N n ω ≤ N := by simp only [lowerCrossingTime, hitting_le ω] #align measure_theory.lower_crossing_time_le MeasureTheory.lowerCrossingTime_le
Mathlib/Probability/Martingale/Upcrossing.lean
201
203
theorem upperCrossingTime_le_lowerCrossingTime : upperCrossingTime a b f N n ω ≤ lowerCrossingTime a b f N n ω := by
simp only [lowerCrossingTime, le_hitting upperCrossingTime_le ω]
0
import Mathlib.Analysis.Calculus.Deriv.ZPow import Mathlib.Analysis.SpecialFunctions.Sqrt import Mathlib.Analysis.SpecialFunctions.Log.Deriv import Mathlib.Analysis.SpecialFunctions.Trigonometric.Deriv import Mathlib.Analysis.Convex.Deriv #align_import analysis.convex.specific_functions.deriv from "leanprover-community/mathlib"@"a16665637b378379689c566204817ae792ac8b39" open Real Set open scoped NNReal theorem strictConvexOn_pow {n : ℕ} (hn : 2 ≤ n) : StrictConvexOn ℝ (Ici 0) fun x : ℝ => x ^ n := by apply StrictMonoOn.strictConvexOn_of_deriv (convex_Ici _) (continuousOn_pow _) rw [deriv_pow', interior_Ici] exact fun x (hx : 0 < x) y _ hxy => mul_lt_mul_of_pos_left (pow_lt_pow_left hxy hx.le <| Nat.sub_ne_zero_of_lt hn) (by positivity) #align strict_convex_on_pow strictConvexOn_pow
Mathlib/Analysis/Convex/SpecificFunctions/Deriv.lean
48
54
theorem Even.strictConvexOn_pow {n : ℕ} (hn : Even n) (h : n ≠ 0) : StrictConvexOn ℝ Set.univ fun x : ℝ => x ^ n := by
apply StrictMono.strictConvexOn_univ_of_deriv (continuous_pow n) rw [deriv_pow'] replace h := Nat.pos_of_ne_zero h exact StrictMono.const_mul (Odd.strictMono_pow <| Nat.Even.sub_odd h hn <| Nat.odd_iff.2 rfl) (Nat.cast_pos.2 h)
0
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst
Mathlib/Tactic/CancelDenoms/Core.lean
45
47
theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by
rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul]
0
import Mathlib.Algebra.GCDMonoid.Basic import Mathlib.Data.Multiset.FinsetOps import Mathlib.Data.Multiset.Fold #align_import algebra.gcd_monoid.multiset from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" namespace Multiset variable {α : Type*} [CancelCommMonoidWithZero α] [NormalizedGCDMonoid α] section gcd def gcd (s : Multiset α) : α := s.fold GCDMonoid.gcd 0 #align multiset.gcd Multiset.gcd @[simp] theorem gcd_zero : (0 : Multiset α).gcd = 0 := fold_zero _ _ #align multiset.gcd_zero Multiset.gcd_zero @[simp] theorem gcd_cons (a : α) (s : Multiset α) : (a ::ₘ s).gcd = GCDMonoid.gcd a s.gcd := fold_cons_left _ _ _ _ #align multiset.gcd_cons Multiset.gcd_cons @[simp] theorem gcd_singleton {a : α} : ({a} : Multiset α).gcd = normalize a := (fold_singleton _ _ _).trans <| gcd_zero_right _ #align multiset.gcd_singleton Multiset.gcd_singleton @[simp] theorem gcd_add (s₁ s₂ : Multiset α) : (s₁ + s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := Eq.trans (by simp [gcd]) (fold_add _ _ _ _ _) #align multiset.gcd_add Multiset.gcd_add theorem dvd_gcd {s : Multiset α} {a : α} : a ∣ s.gcd ↔ ∀ b ∈ s, a ∣ b := Multiset.induction_on s (by simp) (by simp (config := { contextual := true }) [or_imp, forall_and, dvd_gcd_iff]) #align multiset.dvd_gcd Multiset.dvd_gcd theorem gcd_dvd {s : Multiset α} {a : α} (h : a ∈ s) : s.gcd ∣ a := dvd_gcd.1 dvd_rfl _ h #align multiset.gcd_dvd Multiset.gcd_dvd theorem gcd_mono {s₁ s₂ : Multiset α} (h : s₁ ⊆ s₂) : s₂.gcd ∣ s₁.gcd := dvd_gcd.2 fun _ hb ↦ gcd_dvd (h hb) #align multiset.gcd_mono Multiset.gcd_mono @[simp 1100] theorem normalize_gcd (s : Multiset α) : normalize s.gcd = s.gcd := Multiset.induction_on s (by simp) fun a s _ ↦ by simp #align multiset.normalize_gcd Multiset.normalize_gcd theorem gcd_eq_zero_iff (s : Multiset α) : s.gcd = 0 ↔ ∀ x : α, x ∈ s → x = 0 := by constructor · intro h x hx apply eq_zero_of_zero_dvd rw [← h] apply gcd_dvd hx · refine s.induction_on ?_ ?_ · simp intro a s sgcd h simp [h a (mem_cons_self a s), sgcd fun x hx ↦ h x (mem_cons_of_mem hx)] #align multiset.gcd_eq_zero_iff Multiset.gcd_eq_zero_iff
Mathlib/Algebra/GCDMonoid/Multiset.lean
185
190
theorem gcd_map_mul (a : α) (s : Multiset α) : (s.map (a * ·)).gcd = normalize a * s.gcd := by
refine s.induction_on ?_ fun b s ih ↦ ?_ · simp_rw [map_zero, gcd_zero, mul_zero] · simp_rw [map_cons, gcd_cons, ← gcd_mul_left] rw [ih] apply ((normalize_associated a).mul_right _).gcd_eq_right
0
import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.RingTheory.IntegralDomain #align_import field_theory.primitive_element from "leanprover-community/mathlib"@"df76f43357840485b9d04ed5dee5ab115d420e87" noncomputable section open scoped Classical Polynomial open FiniteDimensional Polynomial IntermediateField namespace Field section PrimitiveElementInf variable {F : Type*} [Field F] [Infinite F] {E : Type*} [Field E] (ϕ : F →+* E) (α β : E)
Mathlib/FieldTheory/PrimitiveElement.lean
86
96
theorem primitive_element_inf_aux_exists_c (f g : F[X]) : ∃ c : F, ∀ α' ∈ (f.map ϕ).roots, ∀ β' ∈ (g.map ϕ).roots, -(α' - α) / (β' - β) ≠ ϕ c := by
let sf := (f.map ϕ).roots let sg := (g.map ϕ).roots let s := (sf.bind fun α' => sg.map fun β' => -(α' - α) / (β' - β)).toFinset let s' := s.preimage ϕ fun x _ y _ h => ϕ.injective h obtain ⟨c, hc⟩ := Infinite.exists_not_mem_finset s' simp_rw [s', s, Finset.mem_preimage, Multiset.mem_toFinset, Multiset.mem_bind, Multiset.mem_map] at hc push_neg at hc exact ⟨c, hc⟩
0
import Mathlib.Data.Matrix.Basic import Mathlib.LinearAlgebra.Matrix.Determinant.Basic import Mathlib.LinearAlgebra.Matrix.Adjugate #align_import linear_algebra.matrix.nondegenerate from "leanprover-community/mathlib"@"2a32c70c78096758af93e997b978a5d461007b4f" namespace Matrix variable {m R A : Type*} [Fintype m] [CommRing R] def Nondegenerate (M : Matrix m m R) := ∀ v, (∀ w, Matrix.dotProduct v (M *ᵥ w) = 0) → v = 0 #align matrix.nondegenerate Matrix.Nondegenerate theorem Nondegenerate.eq_zero_of_ortho {M : Matrix m m R} (hM : Nondegenerate M) {v : m → R} (hv : ∀ w, Matrix.dotProduct v (M *ᵥ w) = 0) : v = 0 := hM v hv #align matrix.nondegenerate.eq_zero_of_ortho Matrix.Nondegenerate.eq_zero_of_ortho theorem Nondegenerate.exists_not_ortho_of_ne_zero {M : Matrix m m R} (hM : Nondegenerate M) {v : m → R} (hv : v ≠ 0) : ∃ w, Matrix.dotProduct v (M *ᵥ w) ≠ 0 := not_forall.mp (mt hM.eq_zero_of_ortho hv) #align matrix.nondegenerate.exists_not_ortho_of_ne_zero Matrix.Nondegenerate.exists_not_ortho_of_ne_zero variable [CommRing A] [IsDomain A]
Mathlib/LinearAlgebra/Matrix/Nondegenerate.lean
50
63
theorem nondegenerate_of_det_ne_zero [DecidableEq m] {M : Matrix m m A} (hM : M.det ≠ 0) : Nondegenerate M := by
intro v hv ext i specialize hv (M.cramer (Pi.single i 1)) refine (mul_eq_zero.mp ?_).resolve_right hM convert hv simp only [mulVec_cramer M (Pi.single i 1), dotProduct, Pi.smul_apply, smul_eq_mul] rw [Finset.sum_eq_single i, Pi.single_eq_same, mul_one] · intro j _ hj simp [hj] · intros have := Finset.mem_univ i contradiction
0
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]
Mathlib/NumberTheory/NumberField/Norm.lean
104
106
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]
0
import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.LinearAlgebra.FreeModule.PID import Mathlib.LinearAlgebra.Matrix.AbsoluteValue import Mathlib.NumberTheory.ClassNumber.AdmissibleAbsoluteValue import Mathlib.RingTheory.ClassGroup import Mathlib.RingTheory.DedekindDomain.IntegralClosure import Mathlib.RingTheory.Norm #align_import number_theory.class_number.finite from "leanprover-community/mathlib"@"ea0bcd84221246c801a6f8fbe8a4372f6d04b176" open scoped nonZeroDivisors namespace ClassGroup open Ring section EuclideanDomain variable {R S : Type*} (K L : Type*) [EuclideanDomain R] [CommRing S] [IsDomain S] variable [Field K] [Field L] variable [Algebra R K] [IsFractionRing R K] variable [Algebra K L] [FiniteDimensional K L] [IsSeparable K L] variable [algRL : Algebra R L] [IsScalarTower R K L] variable [Algebra R S] [Algebra S L] variable [ist : IsScalarTower R S L] [iic : IsIntegralClosure S R L] variable (abv : AbsoluteValue R ℤ) variable {ι : Type*} [DecidableEq ι] [Fintype ι] (bS : Basis ι R S) noncomputable def normBound : ℤ := let n := Fintype.card ι let i : ι := Nonempty.some bS.index_nonempty let m : ℤ := Finset.max' (Finset.univ.image fun ijk : ι × ι × ι => abv (Algebra.leftMulMatrix bS (bS ijk.1) ijk.2.1 ijk.2.2)) ⟨_, Finset.mem_image.mpr ⟨⟨i, i, i⟩, Finset.mem_univ _, rfl⟩⟩ Nat.factorial n • (n • m) ^ n #align class_group.norm_bound ClassGroup.normBound theorem normBound_pos : 0 < normBound abv bS := by obtain ⟨i, j, k, hijk⟩ : ∃ i j k, Algebra.leftMulMatrix bS (bS i) j k ≠ 0 := by by_contra! h obtain ⟨i⟩ := bS.index_nonempty apply bS.ne_zero i apply (injective_iff_map_eq_zero (Algebra.leftMulMatrix bS)).mp (Algebra.leftMulMatrix_injective bS) ext j k simp [h, DMatrix.zero_apply] simp only [normBound, Algebra.smul_def, eq_natCast] apply mul_pos (Int.natCast_pos.mpr (Nat.factorial_pos _)) refine pow_pos (mul_pos (Int.natCast_pos.mpr (Fintype.card_pos_iff.mpr ⟨i⟩)) ?_) _ refine lt_of_lt_of_le (abv.pos hijk) (Finset.le_max' _ _ ?_) exact Finset.mem_image.mpr ⟨⟨i, j, k⟩, Finset.mem_univ _, rfl⟩ #align class_group.norm_bound_pos ClassGroup.normBound_pos theorem norm_le (a : S) {y : ℤ} (hy : ∀ k, abv (bS.repr a k) ≤ y) : abv (Algebra.norm R a) ≤ normBound abv bS * y ^ Fintype.card ι := by conv_lhs => rw [← bS.sum_repr a] rw [Algebra.norm_apply, ← LinearMap.det_toMatrix bS] simp only [Algebra.norm_apply, AlgHom.map_sum, AlgHom.map_smul, map_sum, map_smul, Algebra.toMatrix_lmul_eq, normBound, smul_mul_assoc, ← mul_pow] convert Matrix.det_sum_smul_le Finset.univ _ hy using 3 · rw [Finset.card_univ, smul_mul_assoc, mul_comm] · intro i j k apply Finset.le_max' exact Finset.mem_image.mpr ⟨⟨i, j, k⟩, Finset.mem_univ _, rfl⟩ #align class_group.norm_le ClassGroup.norm_le
Mathlib/NumberTheory/ClassNumber/Finite.lean
91
114
theorem norm_lt {T : Type*} [LinearOrderedRing T] (a : S) {y : T} (hy : ∀ k, (abv (bS.repr a k) : T) < y) : (abv (Algebra.norm R a) : T) < normBound abv bS * y ^ Fintype.card ι := by
obtain ⟨i⟩ := bS.index_nonempty have him : (Finset.univ.image fun k => abv (bS.repr a k)).Nonempty := ⟨_, Finset.mem_image.mpr ⟨i, Finset.mem_univ _, rfl⟩⟩ set y' : ℤ := Finset.max' _ him with y'_def have hy' : ∀ k, abv (bS.repr a k) ≤ y' := by intro k exact @Finset.le_max' ℤ _ _ _ (Finset.mem_image.mpr ⟨k, Finset.mem_univ _, rfl⟩) have : (y' : T) < y := by rw [y'_def, ← Finset.max'_image (show Monotone (_ : ℤ → T) from fun x y h => Int.cast_le.mpr h)] apply (Finset.max'_lt_iff _ (him.image _)).mpr simp only [Finset.mem_image, exists_prop] rintro _ ⟨x, ⟨k, -, rfl⟩, rfl⟩ exact hy k have y'_nonneg : 0 ≤ y' := le_trans (abv.nonneg _) (hy' i) apply (Int.cast_le.mpr (norm_le abv bS a hy')).trans_lt simp only [Int.cast_mul, Int.cast_pow] apply mul_lt_mul' le_rfl · exact pow_lt_pow_left this (Int.cast_nonneg.mpr y'_nonneg) (@Fintype.card_ne_zero _ _ ⟨i⟩) · exact pow_nonneg (Int.cast_nonneg.mpr y'_nonneg) _ · exact Int.cast_pos.mpr (normBound_pos abv bS)
0
import Mathlib.Topology.Algebra.InfiniteSum.Group import Mathlib.Logic.Encodable.Lattice noncomputable section open Filter Finset Function Encodable open scoped Topology variable {M : Type*} [CommMonoid M] [TopologicalSpace M] {m m' : M} variable {G : Type*} [CommGroup G] {g g' : G} -- don't declare [TopologicalAddGroup G] here as some results require [UniformAddGroup G] instead section Nat section Monoid namespace HasProd @[to_additive "If `f : ℕ → M` has sum `m`, then the partial sums `∑ i ∈ range n, f i` converge to `m`."] theorem tendsto_prod_nat {f : ℕ → M} (h : HasProd f m) : Tendsto (fun n ↦ ∏ i ∈ range n, f i) atTop (𝓝 m) := h.comp tendsto_finset_range #align has_sum.tendsto_sum_nat HasSum.tendsto_sum_nat @[to_additive "If `f : ℕ → M` is summable, then the partial sums `∑ i ∈ range n, f i` converge to `∑' i, f i`."] theorem Multipliable.tendsto_prod_tprod_nat {f : ℕ → M} (h : Multipliable f) : Tendsto (fun n ↦ ∏ i ∈ range n, f i) atTop (𝓝 (∏' i, f i)) := tendsto_prod_nat h.hasProd section tprod variable [T2Space M] {α β γ : Type*} section UniformGroup variable [UniformSpace G] [UniformGroup G] @[to_additive]
Mathlib/Topology/Algebra/InfiniteSum/NatInt.lean
273
285
theorem cauchySeq_finset_iff_nat_tprod_vanishing {f : ℕ → G} : (CauchySeq fun s : Finset ℕ ↦ ∏ n ∈ s, f n) ↔ ∀ e ∈ 𝓝 (1 : G), ∃ N : ℕ, ∀ t ⊆ {n | N ≤ n}, (∏' n : t, f n) ∈ e := by
refine cauchySeq_finset_iff_tprod_vanishing.trans ⟨fun vanish e he ↦ ?_, fun vanish e he ↦ ?_⟩ · obtain ⟨s, hs⟩ := vanish e he refine ⟨if h : s.Nonempty then s.max' h + 1 else 0, fun t ht ↦ hs _ <| Set.disjoint_left.mpr ?_⟩ split_ifs at ht with h · exact fun m hmt hms ↦ (s.le_max' _ hms).not_lt (Nat.succ_le_iff.mp <| ht hmt) · exact fun _ _ hs ↦ h ⟨_, hs⟩ · obtain ⟨N, hN⟩ := vanish e he exact ⟨range N, fun t ht ↦ hN _ fun n hnt ↦ le_of_not_lt fun h ↦ Set.disjoint_left.mp ht hnt (mem_range.mpr h)⟩
0
import Mathlib.Algebra.Algebra.Subalgebra.Unitization import Mathlib.Analysis.RCLike.Basic import Mathlib.Topology.Algebra.StarSubalgebra import Mathlib.Topology.ContinuousFunction.ContinuousMapZero import Mathlib.Topology.ContinuousFunction.Weierstrass #align_import topology.continuous_function.stone_weierstrass from "leanprover-community/mathlib"@"16e59248c0ebafabd5d071b1cd41743eb8698ffb" noncomputable section namespace ContinuousMap variable {X : Type*} [TopologicalSpace X] [CompactSpace X] open scoped Polynomial def attachBound (f : C(X, ℝ)) : C(X, Set.Icc (-‖f‖) ‖f‖) where toFun x := ⟨f x, ⟨neg_norm_le_apply f x, apply_le_norm f x⟩⟩ #align continuous_map.attach_bound ContinuousMap.attachBound @[simp] theorem attachBound_apply_coe (f : C(X, ℝ)) (x : X) : ((attachBound f) x : ℝ) = f x := rfl #align continuous_map.attach_bound_apply_coe ContinuousMap.attachBound_apply_coe
Mathlib/Topology/ContinuousFunction/StoneWeierstrass.lean
69
77
theorem polynomial_comp_attachBound (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) : (g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound = Polynomial.aeval f g := by
ext simp only [ContinuousMap.coe_comp, Function.comp_apply, ContinuousMap.attachBound_apply_coe, Polynomial.toContinuousMapOn_apply, Polynomial.aeval_subalgebra_coe, Polynomial.aeval_continuousMap_apply, Polynomial.toContinuousMap_apply] -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [ContinuousMap.attachBound_apply_coe]
0
import Mathlib.Analysis.InnerProductSpace.Projection import Mathlib.Geometry.Euclidean.PerpBisector import Mathlib.Algebra.QuadraticDiscriminant #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" noncomputable section open scoped Classical open RealInnerProductSpace namespace EuclideanGeometry variable {V : Type*} {P : Type*} variable [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P]
Mathlib/Geometry/Euclidean/Basic.lean
71
73
theorem dist_left_midpoint_eq_dist_right_midpoint (p1 p2 : P) : dist p1 (midpoint ℝ p1 p2) = dist p2 (midpoint ℝ p1 p2) := by
rw [dist_left_midpoint (𝕜 := ℝ) p1 p2, dist_right_midpoint (𝕜 := ℝ) p1 p2]
0
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]
Mathlib/FieldTheory/Minpoly/IsIntegrallyClosed.lean
50
55
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 _
0
import Mathlib.Analysis.LocallyConvex.BalancedCoreHull import Mathlib.LinearAlgebra.FreeModule.Finite.Matrix import Mathlib.Topology.Algebra.Module.Simple import Mathlib.Topology.Algebra.Module.Determinant import Mathlib.RingTheory.Ideal.LocalRing #align_import topology.algebra.module.finite_dimension from "leanprover-community/mathlib"@"9425b6f8220e53b059f5a4904786c3c4b50fc057" universe u v w x noncomputable section open Set FiniteDimensional TopologicalSpace Filter section NormedField variable {𝕜 : Type u} [hnorm : NontriviallyNormedField 𝕜] {E : Type v} [AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E] [TopologicalAddGroup E] [ContinuousSMul 𝕜 E] {F : Type w} [AddCommGroup F] [Module 𝕜 F] [TopologicalSpace F] [TopologicalAddGroup F] [ContinuousSMul 𝕜 F] {F' : Type x} [AddCommGroup F'] [Module 𝕜 F'] [TopologicalSpace F'] [TopologicalAddGroup F'] [ContinuousSMul 𝕜 F'] theorem unique_topology_of_t2 {t : TopologicalSpace 𝕜} (h₁ : @TopologicalAddGroup 𝕜 t _) (h₂ : @ContinuousSMul 𝕜 𝕜 _ hnorm.toUniformSpace.toTopologicalSpace t) (h₃ : @T2Space 𝕜 t) : t = hnorm.toUniformSpace.toTopologicalSpace := by -- Let `𝓣₀` denote the topology on `𝕜` induced by the norm, and `𝓣` be any T2 vector -- topology on `𝕜`. To show that `𝓣₀ = 𝓣`, it suffices to show that they have the same -- neighborhoods of 0. refine TopologicalAddGroup.ext h₁ inferInstance (le_antisymm ?_ ?_) · -- To show `𝓣 ≤ 𝓣₀`, we have to show that closed balls are `𝓣`-neighborhoods of 0. rw [Metric.nhds_basis_closedBall.ge_iff] -- Let `ε > 0`. Since `𝕜` is nontrivially normed, we have `0 < ‖ξ₀‖ < ε` for some `ξ₀ : 𝕜`. intro ε hε rcases NormedField.exists_norm_lt 𝕜 hε with ⟨ξ₀, hξ₀, hξ₀ε⟩ -- Since `ξ₀ ≠ 0` and `𝓣` is T2, we know that `{ξ₀}ᶜ` is a `𝓣`-neighborhood of 0. -- Porting note: added `mem_compl_singleton_iff.mpr` have : {ξ₀}ᶜ ∈ @nhds 𝕜 t 0 := IsOpen.mem_nhds isOpen_compl_singleton <| mem_compl_singleton_iff.mpr <| Ne.symm <| norm_ne_zero_iff.mp hξ₀.ne.symm -- Thus, its balanced core `𝓑` is too. Let's show that the closed ball of radius `ε` contains -- `𝓑`, which will imply that the closed ball is indeed a `𝓣`-neighborhood of 0. have : balancedCore 𝕜 {ξ₀}ᶜ ∈ @nhds 𝕜 t 0 := balancedCore_mem_nhds_zero this refine mem_of_superset this fun ξ hξ => ?_ -- Let `ξ ∈ 𝓑`. We want to show `‖ξ‖ < ε`. If `ξ = 0`, this is trivial. by_cases hξ0 : ξ = 0 · rw [hξ0] exact Metric.mem_closedBall_self hε.le · rw [mem_closedBall_zero_iff] -- Now suppose `ξ ≠ 0`. By contradiction, let's assume `ε < ‖ξ‖`, and show that -- `ξ₀ ∈ 𝓑 ⊆ {ξ₀}ᶜ`, which is a contradiction. by_contra! h suffices (ξ₀ * ξ⁻¹) • ξ ∈ balancedCore 𝕜 {ξ₀}ᶜ by rw [smul_eq_mul 𝕜, mul_assoc, inv_mul_cancel hξ0, mul_one] at this exact not_mem_compl_iff.mpr (mem_singleton ξ₀) ((balancedCore_subset _) this) -- For that, we use that `𝓑` is balanced : since `‖ξ₀‖ < ε < ‖ξ‖`, we have `‖ξ₀ / ξ‖ ≤ 1`, -- hence `ξ₀ = (ξ₀ / ξ) • ξ ∈ 𝓑` because `ξ ∈ 𝓑`. refine (balancedCore_balanced _).smul_mem ?_ hξ rw [norm_mul, norm_inv, mul_inv_le_iff (norm_pos_iff.mpr hξ0), mul_one] exact (hξ₀ε.trans h).le · -- Finally, to show `𝓣₀ ≤ 𝓣`, we simply argue that `id = (fun x ↦ x • 1)` is continuous from -- `(𝕜, 𝓣₀)` to `(𝕜, 𝓣)` because `(•) : (𝕜, 𝓣₀) × (𝕜, 𝓣) → (𝕜, 𝓣)` is continuous. calc @nhds 𝕜 hnorm.toUniformSpace.toTopologicalSpace 0 = map id (@nhds 𝕜 hnorm.toUniformSpace.toTopologicalSpace 0) := map_id.symm _ = map (fun x => id x • (1 : 𝕜)) (@nhds 𝕜 hnorm.toUniformSpace.toTopologicalSpace 0) := by conv_rhs => congr ext rw [smul_eq_mul, mul_one] _ ≤ @nhds 𝕜 t ((0 : 𝕜) • (1 : 𝕜)) := (@Tendsto.smul_const _ _ _ hnorm.toUniformSpace.toTopologicalSpace t _ _ _ _ _ tendsto_id (1 : 𝕜)) _ = @nhds 𝕜 t 0 := by rw [zero_smul] #align unique_topology_of_t2 unique_topology_of_t2
Mathlib/Topology/Algebra/Module/FiniteDimension.lean
132
173
theorem LinearMap.continuous_of_isClosed_ker (l : E →ₗ[𝕜] 𝕜) (hl : IsClosed (LinearMap.ker l : Set E)) : Continuous l := by
-- `l` is either constant or surjective. If it is constant, the result is trivial. by_cases H : finrank 𝕜 (LinearMap.range l) = 0 · rw [Submodule.finrank_eq_zero, LinearMap.range_eq_bot] at H rw [H] exact continuous_zero · -- In the case where `l` is surjective, we factor it as `φ : (E ⧸ l.ker) ≃ₗ[𝕜] 𝕜`. Note that -- `E ⧸ l.ker` is T2 since `l.ker` is closed. have : finrank 𝕜 (LinearMap.range l) = 1 := le_antisymm (finrank_self 𝕜 ▸ l.range.finrank_le) (zero_lt_iff.mpr H) have hi : Function.Injective ((LinearMap.ker l).liftQ l (le_refl _)) := by rw [← LinearMap.ker_eq_bot] exact Submodule.ker_liftQ_eq_bot _ _ _ (le_refl _) have hs : Function.Surjective ((LinearMap.ker l).liftQ l (le_refl _)) := by rw [← LinearMap.range_eq_top, Submodule.range_liftQ] exact Submodule.eq_top_of_finrank_eq ((finrank_self 𝕜).symm ▸ this) let φ : (E ⧸ LinearMap.ker l) ≃ₗ[𝕜] 𝕜 := LinearEquiv.ofBijective ((LinearMap.ker l).liftQ l (le_refl _)) ⟨hi, hs⟩ have hlφ : (l : E → 𝕜) = φ ∘ (LinearMap.ker l).mkQ := by ext; rfl -- Since the quotient map `E →ₗ[𝕜] (E ⧸ l.ker)` is continuous, the continuity of `l` will follow -- form the continuity of `φ`. suffices Continuous φ.toEquiv by rw [hlφ] exact this.comp continuous_quot_mk -- The pullback by `φ.symm` of the quotient topology is a T2 topology on `𝕜`, because `φ.symm` -- is injective. Since `φ.symm` is linear, it is also a vector space topology. -- Hence, we know that it is equal to the topology induced by the norm. have : induced φ.toEquiv.symm inferInstance = hnorm.toUniformSpace.toTopologicalSpace := by refine unique_topology_of_t2 (topologicalAddGroup_induced φ.symm.toLinearMap) (continuousSMul_induced φ.symm.toLinearMap) ?_ -- Porting note: was `rw [t2Space_iff]` refine (@t2Space_iff 𝕜 (induced (↑(LinearEquiv.toEquiv φ).symm) inferInstance)).mpr ?_ exact fun x y hxy => @separated_by_continuous _ _ (induced _ _) _ _ _ continuous_induced_dom _ _ (φ.toEquiv.symm.injective.ne hxy) -- Finally, the pullback by `φ.symm` is exactly the pushforward by `φ`, so we have to prove -- that `φ` is continuous when `𝕜` is endowed with the pushforward by `φ` of the quotient -- topology, which is trivial by definition of the pushforward. rw [this.symm, Equiv.induced_symm] exact continuous_coinduced_rng
0
import Mathlib.MeasureTheory.OuterMeasure.Induced import Mathlib.MeasureTheory.OuterMeasure.AE import Mathlib.Order.Filter.CountableInter #align_import measure_theory.measure.measure_space_def from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" noncomputable section open scoped Classical open Set open Filter hiding map open Function MeasurableSpace open scoped Classical open Topology Filter ENNReal NNReal variable {α β γ δ : Type*} {ι : Sort*} namespace MeasureTheory structure Measure (α : Type*) [MeasurableSpace α] extends OuterMeasure α where m_iUnion ⦃f : ℕ → Set α⦄ : (∀ i, MeasurableSet (f i)) → Pairwise (Disjoint on f) → toOuterMeasure (⋃ i, f i) = ∑' i, toOuterMeasure (f i) trim_le : toOuterMeasure.trim ≤ toOuterMeasure #align measure_theory.measure MeasureTheory.Measure theorem Measure.toOuterMeasure_injective [MeasurableSpace α] : Injective (toOuterMeasure : Measure α → OuterMeasure α) | ⟨_, _, _⟩, ⟨_, _, _⟩, rfl => rfl #align measure_theory.measure.to_outer_measure_injective MeasureTheory.Measure.toOuterMeasure_injective instance Measure.instFunLike [MeasurableSpace α] : FunLike (Measure α) (Set α) ℝ≥0∞ where coe μ := μ.toOuterMeasure coe_injective' | ⟨_, _, _⟩, ⟨_, _, _⟩, h => toOuterMeasure_injective <| DFunLike.coe_injective h #noalign measure_theory.measure.has_coe_to_fun set_option linter.deprecated false in -- Not immediately obvious how to use `measure_empty` here. instance Measure.instOuterMeasureClass [MeasurableSpace α] : OuterMeasureClass (Measure α) α where measure_empty m := m.empty' measure_iUnion_nat_le m := m.iUnion_nat measure_mono m := m.mono section variable [MeasurableSpace α] {μ μ₁ μ₂ : Measure α} {s s₁ s₂ t : Set α} namespace Measure theorem trimmed (μ : Measure α) : μ.toOuterMeasure.trim = μ.toOuterMeasure := le_antisymm μ.trim_le μ.1.le_trim def ofMeasurable (m : ∀ s : Set α, MeasurableSet s → ℝ≥0∞) (m0 : m ∅ MeasurableSet.empty = 0) (mU : ∀ ⦃f : ℕ → Set α⦄ (h : ∀ i, MeasurableSet (f i)), Pairwise (Disjoint on f) → m (⋃ i, f i) (MeasurableSet.iUnion h) = ∑' i, m (f i) (h i)) : Measure α := { toOuterMeasure := inducedOuterMeasure m _ m0 m_iUnion := fun f hf hd => show inducedOuterMeasure m _ m0 (iUnion f) = ∑' i, inducedOuterMeasure m _ m0 (f i) by rw [inducedOuterMeasure_eq m0 mU, mU hf hd] congr; funext n; rw [inducedOuterMeasure_eq m0 mU] trim_le := le_inducedOuterMeasure.2 fun s hs ↦ by rw [OuterMeasure.trim_eq _ hs, inducedOuterMeasure_eq m0 mU hs] } #align measure_theory.measure.of_measurable MeasureTheory.Measure.ofMeasurable theorem ofMeasurable_apply {m : ∀ s : Set α, MeasurableSet s → ℝ≥0∞} {m0 : m ∅ MeasurableSet.empty = 0} {mU : ∀ ⦃f : ℕ → Set α⦄ (h : ∀ i, MeasurableSet (f i)), Pairwise (Disjoint on f) → m (⋃ i, f i) (MeasurableSet.iUnion h) = ∑' i, m (f i) (h i)} (s : Set α) (hs : MeasurableSet s) : ofMeasurable m m0 mU s = m s hs := inducedOuterMeasure_eq m0 mU hs #align measure_theory.measure.of_measurable_apply MeasureTheory.Measure.ofMeasurable_apply @[ext] theorem ext (h : ∀ s, MeasurableSet s → μ₁ s = μ₂ s) : μ₁ = μ₂ := toOuterMeasure_injective <| by rw [← trimmed, OuterMeasure.trim_congr (h _), trimmed] #align measure_theory.measure.ext MeasureTheory.Measure.ext theorem ext_iff : μ₁ = μ₂ ↔ ∀ s, MeasurableSet s → μ₁ s = μ₂ s := ⟨by rintro rfl s _hs; rfl, Measure.ext⟩ #align measure_theory.measure.ext_iff MeasureTheory.Measure.ext_iff theorem ext_iff' : μ₁ = μ₂ ↔ ∀ s, μ₁ s = μ₂ s := ⟨by rintro rfl s; rfl, fun h ↦ Measure.ext (fun s _ ↦ h s)⟩
Mathlib/MeasureTheory/Measure/MeasureSpaceDef.lean
148
149
theorem outerMeasure_le_iff {m : OuterMeasure α} : m ≤ μ.1 ↔ ∀ s, MeasurableSet s → m s ≤ μ s := by
simpa only [μ.trimmed] using OuterMeasure.le_trim_iff (m₂ := μ.1)
0
import Mathlib.Geometry.Manifold.ContMDiff.Basic open Set ChartedSpace SmoothManifoldWithCorners open scoped Manifold variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] -- declare a smooth manifold `M` over the pair `(E, H)`. {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] {I : ModelWithCorners 𝕜 E H} {M : Type*} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] -- declare a smooth manifold `M'` over the pair `(E', H')`. {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] {I' : ModelWithCorners 𝕜 E' H'} {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] [SmoothManifoldWithCorners I' M'] -- declare functions, sets, points and smoothness indices {e : PartialHomeomorph M H} {x : M} {m n : ℕ∞} section Atlas theorem contMDiff_model : ContMDiff I 𝓘(𝕜, E) n I := by intro x refine (contMDiffAt_iff _ _).mpr ⟨I.continuousAt, ?_⟩ simp only [mfld_simps] refine contDiffWithinAt_id.congr_of_eventuallyEq ?_ ?_ · exact Filter.eventuallyEq_of_mem self_mem_nhdsWithin fun x₂ => I.right_inv simp_rw [Function.comp_apply, I.left_inv, Function.id_def] #align cont_mdiff_model contMDiff_model theorem contMDiffOn_model_symm : ContMDiffOn 𝓘(𝕜, E) I n I.symm (range I) := by rw [contMDiffOn_iff] refine ⟨I.continuousOn_symm, fun x y => ?_⟩ simp only [mfld_simps] exact contDiffOn_id.congr fun x' => I.right_inv #align cont_mdiff_on_model_symm contMDiffOn_model_symm theorem contMDiffOn_of_mem_maximalAtlas (h : e ∈ maximalAtlas I M) : ContMDiffOn I I n e e.source := ContMDiffOn.of_le ((contDiffWithinAt_localInvariantProp I I ∞).liftPropOn_of_mem_maximalAtlas (contDiffWithinAtProp_id I) h) le_top #align cont_mdiff_on_of_mem_maximal_atlas contMDiffOn_of_mem_maximalAtlas theorem contMDiffOn_symm_of_mem_maximalAtlas (h : e ∈ maximalAtlas I M) : ContMDiffOn I I n e.symm e.target := ContMDiffOn.of_le ((contDiffWithinAt_localInvariantProp I I ∞).liftPropOn_symm_of_mem_maximalAtlas (contDiffWithinAtProp_id I) h) le_top #align cont_mdiff_on_symm_of_mem_maximal_atlas contMDiffOn_symm_of_mem_maximalAtlas theorem contMDiffAt_of_mem_maximalAtlas (h : e ∈ maximalAtlas I M) (hx : x ∈ e.source) : ContMDiffAt I I n e x := (contMDiffOn_of_mem_maximalAtlas h).contMDiffAt <| e.open_source.mem_nhds hx #align cont_mdiff_at_of_mem_maximal_atlas contMDiffAt_of_mem_maximalAtlas theorem contMDiffAt_symm_of_mem_maximalAtlas {x : H} (h : e ∈ maximalAtlas I M) (hx : x ∈ e.target) : ContMDiffAt I I n e.symm x := (contMDiffOn_symm_of_mem_maximalAtlas h).contMDiffAt <| e.open_target.mem_nhds hx #align cont_mdiff_at_symm_of_mem_maximal_atlas contMDiffAt_symm_of_mem_maximalAtlas theorem contMDiffOn_chart : ContMDiffOn I I n (chartAt H x) (chartAt H x).source := contMDiffOn_of_mem_maximalAtlas <| chart_mem_maximalAtlas I x #align cont_mdiff_on_chart contMDiffOn_chart theorem contMDiffOn_chart_symm : ContMDiffOn I I n (chartAt H x).symm (chartAt H x).target := contMDiffOn_symm_of_mem_maximalAtlas <| chart_mem_maximalAtlas I x #align cont_mdiff_on_chart_symm contMDiffOn_chart_symm theorem contMDiffAt_extend {x : M} (he : e ∈ maximalAtlas I M) (hx : x ∈ e.source) : ContMDiffAt I 𝓘(𝕜, E) n (e.extend I) x := (contMDiff_model _).comp x <| contMDiffAt_of_mem_maximalAtlas he hx #align cont_mdiff_at_extend contMDiffAt_extend theorem contMDiffAt_extChartAt' {x' : M} (h : x' ∈ (chartAt H x).source) : ContMDiffAt I 𝓘(𝕜, E) n (extChartAt I x) x' := contMDiffAt_extend (chart_mem_maximalAtlas I x) h #align cont_mdiff_at_ext_chart_at' contMDiffAt_extChartAt' theorem contMDiffAt_extChartAt : ContMDiffAt I 𝓘(𝕜, E) n (extChartAt I x) x := contMDiffAt_extChartAt' <| mem_chart_source H x #align cont_mdiff_at_ext_chart_at contMDiffAt_extChartAt theorem contMDiffOn_extChartAt : ContMDiffOn I 𝓘(𝕜, E) n (extChartAt I x) (chartAt H x).source := fun _x' hx' => (contMDiffAt_extChartAt' hx').contMDiffWithinAt #align cont_mdiff_on_ext_chart_at contMDiffOn_extChartAt
Mathlib/Geometry/Manifold/ContMDiff/Atlas.lean
105
110
theorem contMDiffOn_extend_symm (he : e ∈ maximalAtlas I M) : ContMDiffOn 𝓘(𝕜, E) I n (e.extend I).symm (I '' e.target) := by
refine (contMDiffOn_symm_of_mem_maximalAtlas he).comp (contMDiffOn_model_symm.mono <| image_subset_range _ _) ?_ simp_rw [image_subset_iff, PartialEquiv.restr_coe_symm, I.toPartialEquiv_coe_symm, preimage_preimage, I.left_inv, preimage_id']; rfl
0
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]
0
import Mathlib.Analysis.NormedSpace.Banach import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace import Mathlib.Topology.PartialHomeomorph #align_import analysis.calculus.inverse from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" open Function Set Filter Metric open scoped Topology Classical NNReal noncomputable section variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G'] variable {ε : ℝ} open Filter Metric Set open ContinuousLinearMap (id) def ApproximatesLinearOn (f : E → F) (f' : E →L[𝕜] F) (s : Set E) (c : ℝ≥0) : Prop := ∀ x ∈ s, ∀ y ∈ s, ‖f x - f y - f' (x - y)‖ ≤ c * ‖x - y‖ #align approximates_linear_on ApproximatesLinearOn @[simp] theorem approximatesLinearOn_empty (f : E → F) (f' : E →L[𝕜] F) (c : ℝ≥0) : ApproximatesLinearOn f f' ∅ c := by simp [ApproximatesLinearOn] #align approximates_linear_on_empty approximatesLinearOn_empty namespace ApproximatesLinearOn variable [CompleteSpace E] {f : E → F} section variable {f' : E →L[𝕜] F} {s t : Set E} {c c' : ℝ≥0} theorem mono_num (hc : c ≤ c') (hf : ApproximatesLinearOn f f' s c) : ApproximatesLinearOn f f' s c' := fun x hx y hy => le_trans (hf x hx y hy) (mul_le_mul_of_nonneg_right hc <| norm_nonneg _) #align approximates_linear_on.mono_num ApproximatesLinearOn.mono_num theorem mono_set (hst : s ⊆ t) (hf : ApproximatesLinearOn f f' t c) : ApproximatesLinearOn f f' s c := fun x hx y hy => hf x (hst hx) y (hst hy) #align approximates_linear_on.mono_set ApproximatesLinearOn.mono_set
Mathlib/Analysis/Calculus/InverseFunctionTheorem/ApproximatesLinearOn.lean
101
105
theorem approximatesLinearOn_iff_lipschitzOnWith {f : E → F} {f' : E →L[𝕜] F} {s : Set E} {c : ℝ≥0} : ApproximatesLinearOn f f' s c ↔ LipschitzOnWith c (f - ⇑f') s := by
have : ∀ x y, f x - f y - f' (x - y) = (f - f') x - (f - f') y := fun x y ↦ by simp only [map_sub, Pi.sub_apply]; abel simp only [this, lipschitzOnWith_iff_norm_sub_le, ApproximatesLinearOn]
0
import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.FreeModule.Finite.Basic import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition import Mathlib.LinearAlgebra.Projection import Mathlib.LinearAlgebra.SesquilinearForm import Mathlib.RingTheory.TensorProduct.Basic import Mathlib.RingTheory.Ideal.LocalRing #align_import linear_algebra.dual from "leanprover-community/mathlib"@"b1c017582e9f18d8494e5c18602a8cb4a6f843ac" noncomputable section namespace Module -- Porting note: max u v universe issues so name and specific below universe uR uA uM uM' uM'' variable (R : Type uR) (A : Type uA) (M : Type uM) variable [CommSemiring R] [AddCommMonoid M] [Module R M] abbrev Dual := M →ₗ[R] R #align module.dual Module.Dual def dualPairing (R M) [CommSemiring R] [AddCommMonoid M] [Module R M] : Module.Dual R M →ₗ[R] M →ₗ[R] R := LinearMap.id #align module.dual_pairing Module.dualPairing @[simp] theorem dualPairing_apply (v x) : dualPairing R M v x = v x := rfl #align module.dual_pairing_apply Module.dualPairing_apply namespace Dual instance : Inhabited (Dual R M) := ⟨0⟩ def eval : M →ₗ[R] Dual R (Dual R M) := LinearMap.flip LinearMap.id #align module.dual.eval Module.Dual.eval @[simp] theorem eval_apply (v : M) (a : Dual R M) : eval R M v a = a v := rfl #align module.dual.eval_apply Module.Dual.eval_apply variable {R M} {M' : Type uM'} variable [AddCommMonoid M'] [Module R M'] def transpose : (M →ₗ[R] M') →ₗ[R] Dual R M' →ₗ[R] Dual R M := (LinearMap.llcomp R M M' R).flip #align module.dual.transpose Module.Dual.transpose -- Porting note: with reducible def need to specify some parameters to transpose explicitly theorem transpose_apply (u : M →ₗ[R] M') (l : Dual R M') : transpose (R := R) u l = l.comp u := rfl #align module.dual.transpose_apply Module.Dual.transpose_apply variable {M'' : Type uM''} [AddCommMonoid M''] [Module R M''] -- Porting note: with reducible def need to specify some parameters to transpose explicitly theorem transpose_comp (u : M' →ₗ[R] M'') (v : M →ₗ[R] M') : transpose (R := R) (u.comp v) = (transpose (R := R) v).comp (transpose (R := R) u) := rfl #align module.dual.transpose_comp Module.Dual.transpose_comp end Dual section Prod variable (M' : Type uM') [AddCommMonoid M'] [Module R M'] @[simps!] def dualProdDualEquivDual : (Module.Dual R M × Module.Dual R M') ≃ₗ[R] Module.Dual R (M × M') := LinearMap.coprodEquiv R #align module.dual_prod_dual_equiv_dual Module.dualProdDualEquivDual @[simp] theorem dualProdDualEquivDual_apply (φ : Module.Dual R M) (ψ : Module.Dual R M') : dualProdDualEquivDual R M M' (φ, ψ) = φ.coprod ψ := rfl #align module.dual_prod_dual_equiv_dual_apply Module.dualProdDualEquivDual_apply end Prod end Module namespace Basis universe u v w open Module Module.Dual Submodule LinearMap Cardinal Function universe uR uM uK uV uι variable {R : Type uR} {M : Type uM} {K : Type uK} {V : Type uV} {ι : Type uι} section CommSemiring variable [CommSemiring R] [AddCommMonoid M] [Module R M] [DecidableEq ι] variable (b : Basis ι R M) def toDual : M →ₗ[R] Module.Dual R M := b.constr ℕ fun v => b.constr ℕ fun w => if w = v then (1 : R) else 0 #align basis.to_dual Basis.toDual
Mathlib/LinearAlgebra/Dual.lean
303
305
theorem toDual_apply (i j : ι) : b.toDual (b i) (b j) = if i = j then 1 else 0 := by
erw [constr_basis b, constr_basis b] simp only [eq_comm]
0
import Mathlib.Data.Finset.Lattice import Mathlib.Data.Multiset.Powerset #align_import data.finset.powerset from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" namespace Finset open Function Multiset variable {α : Type*} {s t : Finset α} section Powerset def powerset (s : Finset α) : Finset (Finset α) := ⟨(s.1.powerset.pmap Finset.mk) fun _t h => nodup_of_le (mem_powerset.1 h) s.nodup, s.nodup.powerset.pmap fun _a _ha _b _hb => congr_arg Finset.val⟩ #align finset.powerset Finset.powerset @[simp] theorem mem_powerset {s t : Finset α} : s ∈ powerset t ↔ s ⊆ t := by cases s simp [powerset, mem_mk, mem_pmap, mk.injEq, mem_powerset, exists_prop, exists_eq_right, ← val_le_iff] #align finset.mem_powerset Finset.mem_powerset @[simp, norm_cast] theorem coe_powerset (s : Finset α) : (s.powerset : Set (Finset α)) = ((↑) : Finset α → Set α) ⁻¹' (s : Set α).powerset := by ext simp #align finset.coe_powerset Finset.coe_powerset -- Porting note: remove @[simp], simp can prove it theorem empty_mem_powerset (s : Finset α) : ∅ ∈ powerset s := mem_powerset.2 (empty_subset _) #align finset.empty_mem_powerset Finset.empty_mem_powerset -- Porting note: remove @[simp], simp can prove it theorem mem_powerset_self (s : Finset α) : s ∈ powerset s := mem_powerset.2 Subset.rfl #align finset.mem_powerset_self Finset.mem_powerset_self @[aesop safe apply (rule_sets := [finsetNonempty])] theorem powerset_nonempty (s : Finset α) : s.powerset.Nonempty := ⟨∅, empty_mem_powerset _⟩ #align finset.powerset_nonempty Finset.powerset_nonempty @[simp] theorem powerset_mono {s t : Finset α} : powerset s ⊆ powerset t ↔ s ⊆ t := ⟨fun h => mem_powerset.1 <| h <| mem_powerset_self _, fun st _u h => mem_powerset.2 <| Subset.trans (mem_powerset.1 h) st⟩ #align finset.powerset_mono Finset.powerset_mono theorem powerset_injective : Injective (powerset : Finset α → Finset (Finset α)) := (injective_of_le_imp_le _) powerset_mono.1 #align finset.powerset_injective Finset.powerset_injective @[simp] theorem powerset_inj : powerset s = powerset t ↔ s = t := powerset_injective.eq_iff #align finset.powerset_inj Finset.powerset_inj @[simp] theorem powerset_empty : (∅ : Finset α).powerset = {∅} := rfl #align finset.powerset_empty Finset.powerset_empty @[simp] theorem powerset_eq_singleton_empty : s.powerset = {∅} ↔ s = ∅ := by rw [← powerset_empty, powerset_inj] #align finset.powerset_eq_singleton_empty Finset.powerset_eq_singleton_empty @[simp] theorem card_powerset (s : Finset α) : card (powerset s) = 2 ^ card s := (card_pmap _ _ _).trans (Multiset.card_powerset s.1) #align finset.card_powerset Finset.card_powerset theorem not_mem_of_mem_powerset_of_not_mem {s t : Finset α} {a : α} (ht : t ∈ s.powerset) (h : a ∉ s) : a ∉ t := by apply mt _ h apply mem_powerset.1 ht #align finset.not_mem_of_mem_powerset_of_not_mem Finset.not_mem_of_mem_powerset_of_not_mem
Mathlib/Data/Finset/Powerset.lean
99
113
theorem powerset_insert [DecidableEq α] (s : Finset α) (a : α) : powerset (insert a s) = s.powerset ∪ s.powerset.image (insert a) := by
ext t simp only [exists_prop, mem_powerset, mem_image, mem_union, subset_insert_iff] by_cases h : a ∈ t · constructor · exact fun H => Or.inr ⟨_, H, insert_erase h⟩ · intro H cases' H with H H · exact Subset.trans (erase_subset a t) H · rcases H with ⟨u, hu⟩ rw [← hu.2] exact Subset.trans (erase_insert_subset a u) hu.1 · have : ¬∃ u : Finset α, u ⊆ s ∧ insert a u = t := by simp [Ne.symm (ne_insert_of_not_mem _ _ h)] simp [Finset.erase_eq_of_not_mem h, this]
0
import Mathlib.NumberTheory.LegendreSymbol.Basic import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.GaussSum #align_import number_theory.legendre_symbol.quadratic_reciprocity from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Values variable {p : ℕ} [Fact p.Prime] open ZMod section Reciprocity variable {p q : ℕ} [Fact p.Prime] [Fact q.Prime] namespace legendreSym open ZMod
Mathlib/NumberTheory/LegendreSymbol/QuadraticReciprocity.lean
121
133
theorem quadratic_reciprocity (hp : p ≠ 2) (hq : q ≠ 2) (hpq : p ≠ q) : legendreSym q p * legendreSym p q = (-1) ^ (p / 2 * (q / 2)) := by
have hp₁ := (Prime.eq_two_or_odd <| @Fact.out p.Prime _).resolve_left hp have hq₁ := (Prime.eq_two_or_odd <| @Fact.out q.Prime _).resolve_left hq have hq₂ : ringChar (ZMod q) ≠ 2 := (ringChar_zmod_n q).substr hq have h := quadraticChar_odd_prime ((ringChar_zmod_n p).substr hp) hq ((ringChar_zmod_n p).substr hpq) rw [card p] at h have nc : ∀ n r : ℕ, ((n : ℤ) : ZMod r) = n := fun n r => by norm_cast have nc' : (((-1) ^ (p / 2) : ℤ) : ZMod q) = (-1) ^ (p / 2) := by norm_cast rw [legendreSym, legendreSym, nc, nc, h, map_mul, mul_rotate', mul_comm (p / 2), ← pow_two, quadraticChar_sq_one (prime_ne_zero q p hpq.symm), mul_one, pow_mul, χ₄_eq_neg_one_pow hp₁, nc', map_pow, quadraticChar_neg_one hq₂, card q, χ₄_eq_neg_one_pow hq₁]
0
import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Algebra.Polynomial.Derivative import Mathlib.Data.Nat.Factorial.DoubleFactorial #align_import ring_theory.polynomial.hermite.basic from "leanprover-community/mathlib"@"938d3db9c278f8a52c0f964a405806f0f2b09b74" noncomputable section open Polynomial namespace Polynomial noncomputable def hermite : ℕ → Polynomial ℤ | 0 => 1 | n + 1 => X * hermite n - derivative (hermite n) #align polynomial.hermite Polynomial.hermite @[simp] theorem hermite_succ (n : ℕ) : hermite (n + 1) = X * hermite n - derivative (hermite n) := by rw [hermite] #align polynomial.hermite_succ Polynomial.hermite_succ theorem hermite_eq_iterate (n : ℕ) : hermite n = (fun p => X * p - derivative p)^[n] 1 := by induction' n with n ih · rfl · rw [Function.iterate_succ_apply', ← ih, hermite_succ] #align polynomial.hermite_eq_iterate Polynomial.hermite_eq_iterate @[simp] theorem hermite_zero : hermite 0 = C 1 := rfl #align polynomial.hermite_zero Polynomial.hermite_zero -- Porting note (#10618): There was initially @[simp] on this line but it was removed -- because simp can prove this theorem theorem hermite_one : hermite 1 = X := by rw [hermite_succ, hermite_zero] simp only [map_one, mul_one, derivative_one, sub_zero] #align polynomial.hermite_one Polynomial.hermite_one section coeff theorem coeff_hermite_succ_zero (n : ℕ) : coeff (hermite (n + 1)) 0 = -coeff (hermite n) 1 := by simp [coeff_derivative] #align polynomial.coeff_hermite_succ_zero Polynomial.coeff_hermite_succ_zero theorem coeff_hermite_succ_succ (n k : ℕ) : coeff (hermite (n + 1)) (k + 1) = coeff (hermite n) k - (k + 2) * coeff (hermite n) (k + 2) := by rw [hermite_succ, coeff_sub, coeff_X_mul, coeff_derivative, mul_comm] norm_cast #align polynomial.coeff_hermite_succ_succ Polynomial.coeff_hermite_succ_succ
Mathlib/RingTheory/Polynomial/Hermite/Basic.lean
92
99
theorem coeff_hermite_of_lt {n k : ℕ} (hnk : n < k) : coeff (hermite n) k = 0 := by
obtain ⟨k, rfl⟩ := Nat.exists_eq_add_of_lt hnk clear hnk induction' n with n ih generalizing k · apply coeff_C · have : n + k + 1 + 2 = n + (k + 2) + 1 := by ring rw [coeff_hermite_succ_succ, add_right_comm, this, ih k, ih (k + 2), mul_zero, sub_zero]
0
import Mathlib.CategoryTheory.Galois.Basic import Mathlib.RepresentationTheory.Action.Basic import Mathlib.RepresentationTheory.Action.Concrete import Mathlib.RepresentationTheory.Action.Limits import Mathlib.CategoryTheory.Limits.FintypeCat import Mathlib.CategoryTheory.Limits.Shapes.Types import Mathlib.Logic.Equiv.TransferInstance universe u v w namespace CategoryTheory namespace FintypeCat open Limits Functor PreGaloisCategory noncomputable def imageComplement {X Y : FintypeCat.{u}} (f : X ⟶ Y) : FintypeCat.{u} := by haveI : Fintype (↑(Set.range f)ᶜ) := Fintype.ofFinite _ exact FintypeCat.of (↑(Set.range f)ᶜ) def imageComplementIncl {X Y : FintypeCat.{u}} (f : X ⟶ Y) : imageComplement f ⟶ Y := Subtype.val variable (G : Type u) [Group G] noncomputable def Action.imageComplement {X Y : Action FintypeCat (MonCat.of G)} (f : X ⟶ Y) : Action FintypeCat (MonCat.of G) where V := FintypeCat.imageComplement f.hom ρ := MonCat.ofHom <| { toFun := fun g y ↦ Subtype.mk (Y.ρ g y.val) <| by intro ⟨x, h⟩ apply y.property use X.ρ g⁻¹ x calc (X.ρ g⁻¹ ≫ f.hom) x = (Y.ρ g⁻¹ * Y.ρ g) y.val := by rw [f.comm, FintypeCat.comp_apply, h]; rfl _ = y.val := by rw [← map_mul, mul_left_inv, Action.ρ_one, FintypeCat.id_apply] map_one' := by simp only [Action.ρ_one]; rfl map_mul' := fun g h ↦ FintypeCat.hom_ext _ _ <| fun y ↦ Subtype.ext <| by exact congrFun (MonoidHom.map_mul Y.ρ g h) y.val } def Action.imageComplementIncl {X Y : Action FintypeCat (MonCat.of G)} (f : X ⟶ Y) : Action.imageComplement G f ⟶ Y where hom := FintypeCat.imageComplementIncl f.hom comm _ := rfl instance {X Y : Action FintypeCat (MonCat.of G)} (f : X ⟶ Y) : Mono (Action.imageComplementIncl G f) := by apply Functor.mono_of_mono_map (forget _) apply ConcreteCategory.mono_of_injective exact Subtype.val_injective instance [Finite G] : HasColimitsOfShape (SingleObj G) FintypeCat.{w} := by obtain ⟨G', hg, hf, ⟨e⟩⟩ := Finite.exists_type_zero_nonempty_mulEquiv G exact Limits.hasColimitsOfShape_of_equivalence e.toSingleObjEquiv.symm noncomputable instance : PreservesFiniteLimits (forget (Action FintypeCat (MonCat.of G))) := by show PreservesFiniteLimits (Action.forget FintypeCat _ ⋙ FintypeCat.incl) apply compPreservesFiniteLimits instance : PreGaloisCategory (Action FintypeCat (MonCat.of G)) where hasQuotientsByFiniteGroups G _ _ := inferInstance monoInducesIsoOnDirectSummand {X Y} i h := ⟨Action.imageComplement G i, Action.imageComplementIncl G i, ⟨isColimitOfReflects (Action.forget _ _ ⋙ FintypeCat.incl) <| (isColimitMapCoconeBinaryCofanEquiv (forget _) i _).symm (Types.isCoprodOfMono ((forget _).map i))⟩⟩ noncomputable instance : FiberFunctor (Action.forget FintypeCat (MonCat.of G)) where preservesFiniteCoproducts := ⟨fun _ _ ↦ inferInstance⟩ preservesQuotientsByFiniteGroups _ _ _ := inferInstance reflectsIsos := ⟨fun f (h : IsIso f.hom) => inferInstance⟩ instance : GaloisCategory (Action FintypeCat (MonCat.of G)) where hasFiberFunctor := ⟨Action.forget FintypeCat (MonCat.of G), ⟨inferInstance⟩⟩
Mathlib/CategoryTheory/Galois/Examples.lean
104
124
theorem Action.pretransitive_of_isConnected (X : Action FintypeCat (MonCat.of G)) [IsConnected X] : MulAction.IsPretransitive G X.V where exists_smul_eq x y := by
/- We show that the `G`-orbit of `x` is a non-initial subobject of `X` and hence by connectedness, the orbit equals `X.V`. -/ let T : Set X.V := MulAction.orbit G x have : Fintype T := Fintype.ofFinite T letI : MulAction G (FintypeCat.of T) := inferInstanceAs <| MulAction G ↑(MulAction.orbit G x) let T' : Action FintypeCat (MonCat.of G) := Action.FintypeCat.ofMulAction G (FintypeCat.of T) let i : T' ⟶ X := ⟨Subtype.val, fun _ ↦ rfl⟩ have : Mono i := ConcreteCategory.mono_of_injective _ (Subtype.val_injective) have : IsIso i := by apply IsConnected.noTrivialComponent T' i apply (not_initial_iff_fiber_nonempty (Action.forget _ _) T').mpr exact Set.Nonempty.coe_sort (MulAction.orbit_nonempty x) have hb : Function.Bijective i.hom := by apply (ConcreteCategory.isIso_iff_bijective i.hom).mp exact map_isIso (forget₂ _ FintypeCat) i obtain ⟨⟨y', ⟨g, (hg : g • x = y')⟩⟩, (hy' : y' = y)⟩ := hb.surjective y use g exact hg.trans hy'
0
import Mathlib.Algebra.ContinuedFractions.Computation.Basic import Mathlib.Algebra.ContinuedFractions.Translations #align_import algebra.continued_fractions.computation.translations from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace GeneralizedContinuedFraction open GeneralizedContinuedFraction (of) -- Fix a discrete linear ordered floor field and a value `v`. variable {K : Type*} [LinearOrderedField K] [FloorRing K] {v : K} section sequence variable {n : ℕ} theorem IntFractPair.get?_seq1_eq_succ_get?_stream : (IntFractPair.seq1 v).snd.get? n = (IntFractPair.stream v) (n + 1) := rfl #align generalized_continued_fraction.int_fract_pair.nth_seq1_eq_succ_nth_stream GeneralizedContinuedFraction.IntFractPair.get?_seq1_eq_succ_get?_stream section Values
Mathlib/Algebra/ContinuedFractions/Computation/Translations.lean
226
234
theorem IntFractPair.exists_succ_get?_stream_of_gcf_of_get?_eq_some {gp_n : Pair K} (s_nth_eq : (of v).s.get? n = some gp_n) : ∃ ifp : IntFractPair K, IntFractPair.stream v (n + 1) = some ifp ∧ (ifp.b : K) = gp_n.b := by
obtain ⟨ifp, stream_succ_nth_eq, gp_n_eq⟩ : ∃ ifp, IntFractPair.stream v (n + 1) = some ifp ∧ Pair.mk 1 (ifp.b : K) = gp_n := by unfold of IntFractPair.seq1 at s_nth_eq simpa [Stream'.Seq.get?_tail, Stream'.Seq.map_get?] using s_nth_eq cases gp_n_eq simp_all only [Option.some.injEq, exists_eq_left']
0
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]
0
import Mathlib.Algebra.MvPolynomial.Variables #align_import data.mv_polynomial.supported from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4" universe u v w namespace MvPolynomial variable {σ τ : Type*} {R : Type u} {S : Type v} {r : R} {e : ℕ} {n m : σ} section CommSemiring variable [CommSemiring R] {p q : MvPolynomial σ R} variable (R) noncomputable def supported (s : Set σ) : Subalgebra R (MvPolynomial σ R) := Algebra.adjoin R (X '' s) #align mv_polynomial.supported MvPolynomial.supported variable {R} open Algebra theorem supported_eq_range_rename (s : Set σ) : supported R s = (rename ((↑) : s → σ)).range := by rw [supported, Set.image_eq_range, adjoin_range_eq_range_aeval, rename] congr #align mv_polynomial.supported_eq_range_rename MvPolynomial.supported_eq_range_rename noncomputable def supportedEquivMvPolynomial (s : Set σ) : supported R s ≃ₐ[R] MvPolynomial s R := (Subalgebra.equivOfEq _ _ (supported_eq_range_rename s)).trans (AlgEquiv.ofInjective (rename ((↑) : s → σ)) (rename_injective _ Subtype.val_injective)).symm #align mv_polynomial.supported_equiv_mv_polynomial MvPolynomial.supportedEquivMvPolynomial @[simp, nolint simpNF] -- Porting note: the `simpNF` linter complained about this lemma. theorem supportedEquivMvPolynomial_symm_C (s : Set σ) (x : R) : (supportedEquivMvPolynomial s).symm (C x) = algebraMap R (supported R s) x := by ext1 simp [supportedEquivMvPolynomial, MvPolynomial.algebraMap_eq] set_option linter.uppercaseLean3 false in #align mv_polynomial.supported_equiv_mv_polynomial_symm_C MvPolynomial.supportedEquivMvPolynomial_symm_C @[simp, nolint simpNF] -- Porting note: the `simpNF` linter complained about this lemma. theorem supportedEquivMvPolynomial_symm_X (s : Set σ) (i : s) : (↑((supportedEquivMvPolynomial s).symm (X i : MvPolynomial s R)) : MvPolynomial σ R) = X ↑i := by simp [supportedEquivMvPolynomial] set_option linter.uppercaseLean3 false in #align mv_polynomial.supported_equiv_mv_polynomial_symm_X MvPolynomial.supportedEquivMvPolynomial_symm_X variable {s t : Set σ} theorem mem_supported : p ∈ supported R s ↔ ↑p.vars ⊆ s := by classical rw [supported_eq_range_rename, AlgHom.mem_range] constructor · rintro ⟨p, rfl⟩ refine _root_.trans (Finset.coe_subset.2 (vars_rename _ _)) ?_ simp · intro hs exact exists_rename_eq_of_vars_subset_range p ((↑) : s → σ) Subtype.val_injective (by simpa) #align mv_polynomial.mem_supported MvPolynomial.mem_supported theorem supported_eq_vars_subset : (supported R s : Set (MvPolynomial σ R)) = { p | ↑p.vars ⊆ s } := Set.ext fun _ ↦ mem_supported #align mv_polynomial.supported_eq_vars_subset MvPolynomial.supported_eq_vars_subset @[simp] theorem mem_supported_vars (p : MvPolynomial σ R) : p ∈ supported R (↑p.vars : Set σ) := by rw [mem_supported] #align mv_polynomial.mem_supported_vars MvPolynomial.mem_supported_vars variable (s) theorem supported_eq_adjoin_X : supported R s = Algebra.adjoin R (X '' s) := rfl set_option linter.uppercaseLean3 false in #align mv_polynomial.supported_eq_adjoin_X MvPolynomial.supported_eq_adjoin_X @[simp] theorem supported_univ : supported R (Set.univ : Set σ) = ⊤ := by simp [Algebra.eq_top_iff, mem_supported] #align mv_polynomial.supported_univ MvPolynomial.supported_univ @[simp] theorem supported_empty : supported R (∅ : Set σ) = ⊥ := by simp [supported_eq_adjoin_X] #align mv_polynomial.supported_empty MvPolynomial.supported_empty variable {s} theorem supported_mono (st : s ⊆ t) : supported R s ≤ supported R t := Algebra.adjoin_mono (Set.image_subset _ st) #align mv_polynomial.supported_mono MvPolynomial.supported_mono @[simp] theorem X_mem_supported [Nontrivial R] {i : σ} : X i ∈ supported R s ↔ i ∈ s := by simp [mem_supported] set_option linter.uppercaseLean3 false in #align mv_polynomial.X_mem_supported MvPolynomial.X_mem_supported @[simp] theorem supported_le_supported_iff [Nontrivial R] : supported R s ≤ supported R t ↔ s ⊆ t := by constructor · intro h i simpa using @h (X i) · exact supported_mono #align mv_polynomial.supported_le_supported_iff MvPolynomial.supported_le_supported_iff theorem supported_strictMono [Nontrivial R] : StrictMono (supported R : Set σ → Subalgebra R (MvPolynomial σ R)) := strictMono_of_le_iff_le fun _ _ ↦ supported_le_supported_iff.symm #align mv_polynomial.supported_strict_mono MvPolynomial.supported_strictMono
Mathlib/Algebra/MvPolynomial/Supported.lean
135
141
theorem exists_restrict_to_vars (R : Type*) [CommRing R] {F : MvPolynomial σ ℤ} (hF : ↑F.vars ⊆ s) : ∃ f : (s → R) → R, ∀ x : σ → R, f (x ∘ (↑) : s → R) = aeval x F := by
rw [← mem_supported, supported_eq_range_rename, AlgHom.mem_range] at hF cases' hF with F' hF' use fun z ↦ aeval z F' intro x simp only [← hF', aeval_rename]
0
import Mathlib.Data.Nat.Choose.Basic import Mathlib.Data.Nat.GCD.Basic import Mathlib.Tactic.Ring import Mathlib.Tactic.Linarith #align_import data.nat.choose.central from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" namespace Nat def centralBinom (n : ℕ) := (2 * n).choose n #align nat.central_binom Nat.centralBinom theorem centralBinom_eq_two_mul_choose (n : ℕ) : centralBinom n = (2 * n).choose n := rfl #align nat.central_binom_eq_two_mul_choose Nat.centralBinom_eq_two_mul_choose theorem centralBinom_pos (n : ℕ) : 0 < centralBinom n := choose_pos (Nat.le_mul_of_pos_left _ zero_lt_two) #align nat.central_binom_pos Nat.centralBinom_pos theorem centralBinom_ne_zero (n : ℕ) : centralBinom n ≠ 0 := (centralBinom_pos n).ne' #align nat.central_binom_ne_zero Nat.centralBinom_ne_zero @[simp] theorem centralBinom_zero : centralBinom 0 = 1 := choose_zero_right _ #align nat.central_binom_zero Nat.centralBinom_zero theorem choose_le_centralBinom (r n : ℕ) : choose (2 * n) r ≤ centralBinom n := calc (2 * n).choose r ≤ (2 * n).choose (2 * n / 2) := choose_le_middle r (2 * n) _ = (2 * n).choose n := by rw [Nat.mul_div_cancel_left n zero_lt_two] #align nat.choose_le_central_binom Nat.choose_le_centralBinom theorem two_le_centralBinom (n : ℕ) (n_pos : 0 < n) : 2 ≤ centralBinom n := calc 2 ≤ 2 * n := Nat.le_mul_of_pos_right _ n_pos _ = (2 * n).choose 1 := (choose_one_right (2 * n)).symm _ ≤ centralBinom n := choose_le_centralBinom 1 n #align nat.two_le_central_binom Nat.two_le_centralBinom theorem succ_mul_centralBinom_succ (n : ℕ) : (n + 1) * centralBinom (n + 1) = 2 * (2 * n + 1) * centralBinom n := calc (n + 1) * (2 * (n + 1)).choose (n + 1) = (2 * n + 2).choose (n + 1) * (n + 1) := mul_comm _ _ _ = (2 * n + 1).choose n * (2 * n + 2) := by rw [choose_succ_right_eq, choose_mul_succ_eq] _ = 2 * ((2 * n + 1).choose n * (n + 1)) := by ring _ = 2 * ((2 * n + 1).choose n * (2 * n + 1 - n)) := by rw [two_mul n, add_assoc, Nat.add_sub_cancel_left] _ = 2 * ((2 * n).choose n * (2 * n + 1)) := by rw [choose_mul_succ_eq] _ = 2 * (2 * n + 1) * (2 * n).choose n := by rw [mul_assoc, mul_comm (2 * n + 1)] #align nat.succ_mul_central_binom_succ Nat.succ_mul_centralBinom_succ theorem four_pow_lt_mul_centralBinom (n : ℕ) (n_big : 4 ≤ n) : 4 ^ n < n * centralBinom n := by induction' n using Nat.strong_induction_on with n IH rcases lt_trichotomy n 4 with (hn | rfl | hn) · clear IH; exact False.elim ((not_lt.2 n_big) hn) · norm_num [centralBinom, choose] obtain ⟨n, rfl⟩ : ∃ m, n = m + 1 := Nat.exists_eq_succ_of_ne_zero (Nat.not_eq_zero_of_lt hn) calc 4 ^ (n + 1) < 4 * (n * centralBinom n) := lt_of_eq_of_lt pow_succ' <| (mul_lt_mul_left <| zero_lt_four' ℕ).mpr (IH n n.lt_succ_self (Nat.le_of_lt_succ hn)) _ ≤ 2 * (2 * n + 1) * centralBinom n := by rw [← mul_assoc]; linarith _ = (n + 1) * centralBinom (n + 1) := (succ_mul_centralBinom_succ n).symm #align nat.four_pow_lt_mul_central_binom Nat.four_pow_lt_mul_centralBinom theorem four_pow_le_two_mul_self_mul_centralBinom : ∀ (n : ℕ) (_ : 0 < n), 4 ^ n ≤ 2 * n * centralBinom n | 0, pr => (Nat.not_lt_zero _ pr).elim | 1, _ => by norm_num [centralBinom, choose] | 2, _ => by norm_num [centralBinom, choose] | 3, _ => by norm_num [centralBinom, choose] | n + 4, _ => calc 4 ^ (n+4) ≤ (n+4) * centralBinom (n+4) := (four_pow_lt_mul_centralBinom _ le_add_self).le _ ≤ 2 * (n+4) * centralBinom (n+4) := by rw [mul_assoc]; refine Nat.le_mul_of_pos_left _ zero_lt_two #align nat.four_pow_le_two_mul_self_mul_central_binom Nat.four_pow_le_two_mul_self_mul_centralBinom theorem two_dvd_centralBinom_succ (n : ℕ) : 2 ∣ centralBinom (n + 1) := by use (n + 1 + n).choose n rw [centralBinom_eq_two_mul_choose, two_mul, ← add_assoc, choose_succ_succ' (n + 1 + n) n, choose_symm_add, ← two_mul] #align nat.two_dvd_central_binom_succ Nat.two_dvd_centralBinom_succ theorem two_dvd_centralBinom_of_one_le {n : ℕ} (h : 0 < n) : 2 ∣ centralBinom n := by rw [← Nat.succ_pred_eq_of_pos h] exact two_dvd_centralBinom_succ n.pred #align nat.two_dvd_central_binom_of_one_le Nat.two_dvd_centralBinom_of_one_le
Mathlib/Data/Nat/Choose/Central.lean
131
138
theorem succ_dvd_centralBinom (n : ℕ) : n + 1 ∣ n.centralBinom := by
have h_s : (n + 1).Coprime (2 * n + 1) := by rw [two_mul, add_assoc, coprime_add_self_right, coprime_self_add_left] exact coprime_one_left n apply h_s.dvd_of_dvd_mul_left apply Nat.dvd_of_mul_dvd_mul_left zero_lt_two rw [← mul_assoc, ← succ_mul_centralBinom_succ, mul_comm] exact mul_dvd_mul_left _ (two_dvd_centralBinom_succ n)
0
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Analysis.Normed.Group.Basic import Mathlib.Topology.Instances.NNReal #align_import analysis.normed.group.infinite_sum from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Topology NNReal open Finset Filter Metric variable {ι α E F : Type*} [SeminormedAddCommGroup E] [SeminormedAddCommGroup F] theorem cauchySeq_finset_iff_vanishing_norm {f : ι → E} : (CauchySeq fun s : Finset ι => ∑ i ∈ s, f i) ↔ ∀ ε > (0 : ℝ), ∃ s : Finset ι, ∀ t, Disjoint t s → ‖∑ i ∈ t, f i‖ < ε := by rw [cauchySeq_finset_iff_sum_vanishing, nhds_basis_ball.forall_iff] · simp only [ball_zero_eq, Set.mem_setOf_eq] · rintro s t hst ⟨s', hs'⟩ exact ⟨s', fun t' ht' => hst <| hs' _ ht'⟩ #align cauchy_seq_finset_iff_vanishing_norm cauchySeq_finset_iff_vanishing_norm theorem summable_iff_vanishing_norm [CompleteSpace E] {f : ι → E} : Summable f ↔ ∀ ε > (0 : ℝ), ∃ s : Finset ι, ∀ t, Disjoint t s → ‖∑ i ∈ t, f i‖ < ε := by rw [summable_iff_cauchySeq_finset, cauchySeq_finset_iff_vanishing_norm] #align summable_iff_vanishing_norm summable_iff_vanishing_norm theorem cauchySeq_finset_of_norm_bounded_eventually {f : ι → E} {g : ι → ℝ} (hg : Summable g) (h : ∀ᶠ i in cofinite, ‖f i‖ ≤ g i) : CauchySeq fun s => ∑ i ∈ s, f i := by refine cauchySeq_finset_iff_vanishing_norm.2 fun ε hε => ?_ rcases summable_iff_vanishing_norm.1 hg ε hε with ⟨s, hs⟩ classical refine ⟨s ∪ h.toFinset, fun t ht => ?_⟩ have : ∀ i ∈ t, ‖f i‖ ≤ g i := by intro i hi simp only [disjoint_left, mem_union, not_or, h.mem_toFinset, Set.mem_compl_iff, Classical.not_not] at ht exact (ht hi).2 calc ‖∑ i ∈ t, f i‖ ≤ ∑ i ∈ t, g i := norm_sum_le_of_le _ this _ ≤ ‖∑ i ∈ t, g i‖ := le_abs_self _ _ < ε := hs _ (ht.mono_right le_sup_left) #align cauchy_seq_finset_of_norm_bounded_eventually cauchySeq_finset_of_norm_bounded_eventually theorem cauchySeq_finset_of_norm_bounded {f : ι → E} (g : ι → ℝ) (hg : Summable g) (h : ∀ i, ‖f i‖ ≤ g i) : CauchySeq fun s : Finset ι => ∑ i ∈ s, f i := cauchySeq_finset_of_norm_bounded_eventually hg <| eventually_of_forall h #align cauchy_seq_finset_of_norm_bounded cauchySeq_finset_of_norm_bounded
Mathlib/Analysis/Normed/Group/InfiniteSum.lean
78
89
theorem cauchySeq_range_of_norm_bounded {f : ℕ → E} (g : ℕ → ℝ) (hg : CauchySeq fun n => ∑ i ∈ range n, g i) (hf : ∀ i, ‖f i‖ ≤ g i) : CauchySeq fun n => ∑ i ∈ range n, f i := by
refine Metric.cauchySeq_iff'.2 fun ε hε => ?_ refine (Metric.cauchySeq_iff'.1 hg ε hε).imp fun N hg n hn => ?_ specialize hg n hn rw [dist_eq_norm, ← sum_Ico_eq_sub _ hn] at hg ⊢ calc ‖∑ k ∈ Ico N n, f k‖ ≤ ∑ k ∈ _, ‖f k‖ := norm_sum_le _ _ _ ≤ ∑ k ∈ _, g k := sum_le_sum fun x _ => hf x _ ≤ ‖∑ k ∈ _, g k‖ := le_abs_self _ _ < ε := hg
0
import Mathlib.Algebra.Algebra.Defs import Mathlib.Algebra.CharP.ExpChar import Mathlib.FieldTheory.Separable #align_import field_theory.separable_degree from "leanprover-community/mathlib"@"d11893b411025250c8e61ff2f12ccbd7ee35ab15" noncomputable section namespace Polynomial open scoped Classical open Polynomial section CommSemiring variable {F : Type*} [CommSemiring F] (q : ℕ) def IsSeparableContraction (f : F[X]) (g : F[X]) : Prop := g.Separable ∧ ∃ m : ℕ, expand F (q ^ m) g = f #align polynomial.is_separable_contraction Polynomial.IsSeparableContraction def HasSeparableContraction (f : F[X]) : Prop := ∃ g : F[X], IsSeparableContraction q f g #align polynomial.has_separable_contraction Polynomial.HasSeparableContraction variable {q} {f : F[X]} (hf : HasSeparableContraction q f) def HasSeparableContraction.contraction : F[X] := Classical.choose hf #align polynomial.has_separable_contraction.contraction Polynomial.HasSeparableContraction.contraction def HasSeparableContraction.degree : ℕ := hf.contraction.natDegree #align polynomial.has_separable_contraction.degree Polynomial.HasSeparableContraction.degree theorem HasSeparableContraction.isSeparableContraction : IsSeparableContraction q f hf.contraction := Classical.choose_spec hf theorem IsSeparableContraction.dvd_degree' {g} (hf : IsSeparableContraction q f g) : ∃ m : ℕ, g.natDegree * q ^ m = f.natDegree := by obtain ⟨m, rfl⟩ := hf.2 use m rw [natDegree_expand] #align polynomial.is_separable_contraction.dvd_degree' Polynomial.IsSeparableContraction.dvd_degree' theorem HasSeparableContraction.dvd_degree' : ∃ m : ℕ, hf.degree * q ^ m = f.natDegree := (Classical.choose_spec hf).dvd_degree' hf #align polynomial.has_separable_contraction.dvd_degree' Polynomial.HasSeparableContraction.dvd_degree' theorem HasSeparableContraction.dvd_degree : hf.degree ∣ f.natDegree := let ⟨a, ha⟩ := hf.dvd_degree' Dvd.intro (q ^ a) ha #align polynomial.has_separable_contraction.dvd_degree Polynomial.HasSeparableContraction.dvd_degree
Mathlib/RingTheory/Polynomial/SeparableDegree.lean
96
99
theorem HasSeparableContraction.eq_degree {f : F[X]} (hf : HasSeparableContraction 1 f) : hf.degree = f.natDegree := by
let ⟨a, ha⟩ := hf.dvd_degree' rw [← ha, one_pow a, mul_one]
0
import Mathlib.Order.UpperLower.Basic import Mathlib.Data.Finset.Preimage #align_import combinatorics.young.young_diagram from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" open Function @[ext] structure YoungDiagram where cells : Finset (ℕ × ℕ) isLowerSet : IsLowerSet (cells : Set (ℕ × ℕ)) #align young_diagram YoungDiagram namespace YoungDiagram instance : SetLike YoungDiagram (ℕ × ℕ) where -- Porting note (#11215): TODO: figure out how to do this correctly coe := fun y => y.cells coe_injective' μ ν h := by rwa [YoungDiagram.ext_iff, ← Finset.coe_inj] @[simp] theorem mem_cells {μ : YoungDiagram} (c : ℕ × ℕ) : c ∈ μ.cells ↔ c ∈ μ := Iff.rfl #align young_diagram.mem_cells YoungDiagram.mem_cells @[simp] theorem mem_mk (c : ℕ × ℕ) (cells) (isLowerSet) : c ∈ YoungDiagram.mk cells isLowerSet ↔ c ∈ cells := Iff.rfl #align young_diagram.mem_mk YoungDiagram.mem_mk instance decidableMem (μ : YoungDiagram) : DecidablePred (· ∈ μ) := inferInstanceAs (DecidablePred (· ∈ μ.cells)) #align young_diagram.decidable_mem YoungDiagram.decidableMem theorem up_left_mem (μ : YoungDiagram) {i1 i2 j1 j2 : ℕ} (hi : i1 ≤ i2) (hj : j1 ≤ j2) (hcell : (i2, j2) ∈ μ) : (i1, j1) ∈ μ := μ.isLowerSet (Prod.mk_le_mk.mpr ⟨hi, hj⟩) hcell #align young_diagram.up_left_mem YoungDiagram.up_left_mem protected abbrev card (μ : YoungDiagram) : ℕ := μ.cells.card #align young_diagram.card YoungDiagram.card section Rows def row (μ : YoungDiagram) (i : ℕ) : Finset (ℕ × ℕ) := μ.cells.filter fun c => c.fst = i #align young_diagram.row YoungDiagram.row theorem mem_row_iff {μ : YoungDiagram} {i : ℕ} {c : ℕ × ℕ} : c ∈ μ.row i ↔ c ∈ μ ∧ c.fst = i := by simp [row] #align young_diagram.mem_row_iff YoungDiagram.mem_row_iff theorem mk_mem_row_iff {μ : YoungDiagram} {i j : ℕ} : (i, j) ∈ μ.row i ↔ (i, j) ∈ μ := by simp [row] #align young_diagram.mk_mem_row_iff YoungDiagram.mk_mem_row_iff protected theorem exists_not_mem_row (μ : YoungDiagram) (i : ℕ) : ∃ j, (i, j) ∉ μ := by obtain ⟨j, hj⟩ := Infinite.exists_not_mem_finset (μ.cells.preimage (Prod.mk i) fun _ _ _ _ h => by cases h rfl) rw [Finset.mem_preimage] at hj exact ⟨j, hj⟩ #align young_diagram.exists_not_mem_row YoungDiagram.exists_not_mem_row def rowLen (μ : YoungDiagram) (i : ℕ) : ℕ := Nat.find <| μ.exists_not_mem_row i #align young_diagram.row_len YoungDiagram.rowLen
Mathlib/Combinatorics/Young/YoungDiagram.lean
307
310
theorem mem_iff_lt_rowLen {μ : YoungDiagram} {i j : ℕ} : (i, j) ∈ μ ↔ j < μ.rowLen i := by
rw [rowLen, Nat.lt_find_iff] push_neg exact ⟨fun h _ hmj => μ.up_left_mem (by rfl) hmj h, fun h => h _ (by rfl)⟩
0
import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Exponent #align_import group_theory.specific_groups.dihedral from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" inductive DihedralGroup (n : ℕ) : Type | r : ZMod n → DihedralGroup n | sr : ZMod n → DihedralGroup n deriving DecidableEq #align dihedral_group DihedralGroup namespace DihedralGroup variable {n : ℕ} private def mul : DihedralGroup n → DihedralGroup n → DihedralGroup n | r i, r j => r (i + j) | r i, sr j => sr (j - i) | sr i, r j => sr (i + j) | sr i, sr j => r (j - i) private def one : DihedralGroup n := r 0 instance : Inhabited (DihedralGroup n) := ⟨one⟩ private def inv : DihedralGroup n → DihedralGroup n | r i => r (-i) | sr i => sr i instance : Group (DihedralGroup n) where mul := mul mul_assoc := by rintro (a | a) (b | b) (c | c) <;> simp only [(· * ·), mul] <;> ring_nf one := one one_mul := by rintro (a | a) · exact congr_arg r (zero_add a) · exact congr_arg sr (sub_zero a) mul_one := by rintro (a | a) · exact congr_arg r (add_zero a) · exact congr_arg sr (add_zero a) inv := inv mul_left_inv := by rintro (a | a) · exact congr_arg r (neg_add_self a) · exact congr_arg r (sub_self a) @[simp] theorem r_mul_r (i j : ZMod n) : r i * r j = r (i + j) := rfl #align dihedral_group.r_mul_r DihedralGroup.r_mul_r @[simp] theorem r_mul_sr (i j : ZMod n) : r i * sr j = sr (j - i) := rfl #align dihedral_group.r_mul_sr DihedralGroup.r_mul_sr @[simp] theorem sr_mul_r (i j : ZMod n) : sr i * r j = sr (i + j) := rfl #align dihedral_group.sr_mul_r DihedralGroup.sr_mul_r @[simp] theorem sr_mul_sr (i j : ZMod n) : sr i * sr j = r (j - i) := rfl #align dihedral_group.sr_mul_sr DihedralGroup.sr_mul_sr theorem one_def : (1 : DihedralGroup n) = r 0 := rfl #align dihedral_group.one_def DihedralGroup.one_def private def fintypeHelper : Sum (ZMod n) (ZMod n) ≃ DihedralGroup n where invFun i := match i with | r j => Sum.inl j | sr j => Sum.inr j toFun i := match i with | Sum.inl j => r j | Sum.inr j => sr j left_inv := by rintro (x | x) <;> rfl right_inv := by rintro (x | x) <;> rfl instance [NeZero n] : Fintype (DihedralGroup n) := Fintype.ofEquiv _ fintypeHelper instance : Infinite (DihedralGroup 0) := DihedralGroup.fintypeHelper.infinite_iff.mp inferInstance instance : Nontrivial (DihedralGroup n) := ⟨⟨r 0, sr 0, by simp_rw [ne_eq, not_false_eq_true]⟩⟩ theorem card [NeZero n] : Fintype.card (DihedralGroup n) = 2 * n := by rw [← Fintype.card_eq.mpr ⟨fintypeHelper⟩, Fintype.card_sum, ZMod.card, two_mul] #align dihedral_group.card DihedralGroup.card theorem nat_card : Nat.card (DihedralGroup n) = 2 * n := by cases n · rw [Nat.card_eq_zero_of_infinite] · rw [Nat.card_eq_fintype_card, card] @[simp] theorem r_one_pow (k : ℕ) : (r 1 : DihedralGroup n) ^ k = r k := by induction' k with k IH · rw [Nat.cast_zero] rfl · rw [pow_succ', IH, r_mul_r] congr 1 norm_cast rw [Nat.one_add] #align dihedral_group.r_one_pow DihedralGroup.r_one_pow -- @[simp] -- Porting note: simp changes the goal to `r 0 = 1`. `r_one_pow_n` is no longer useful. theorem r_one_pow_n : r (1 : ZMod n) ^ n = 1 := by rw [r_one_pow, one_def] congr 1 exact ZMod.natCast_self _ #align dihedral_group.r_one_pow_n DihedralGroup.r_one_pow_n -- @[simp] -- Porting note: simp changes the goal to `r 0 = 1`. `sr_mul_self` is no longer useful. theorem sr_mul_self (i : ZMod n) : sr i * sr i = 1 := by rw [sr_mul_sr, sub_self, one_def] #align dihedral_group.sr_mul_self DihedralGroup.sr_mul_self @[simp]
Mathlib/GroupTheory/SpecificGroups/Dihedral.lean
159
164
theorem orderOf_sr (i : ZMod n) : orderOf (sr i) = 2 := by
apply orderOf_eq_prime · rw [sq, sr_mul_self] · -- Porting note: Previous proof was `decide` revert n simp_rw [one_def, ne_eq, forall_const, not_false_eq_true]
0
import Mathlib.CategoryTheory.Sites.Spaces import Mathlib.Topology.Sheaves.Sheaf import Mathlib.CategoryTheory.Sites.DenseSubsite #align_import topology.sheaves.sheaf_condition.sites from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section set_option linter.uppercaseLean3 false -- Porting note: Added because of too many false positives universe w v u open CategoryTheory TopologicalSpace namespace TopCat.Presheaf variable {X : TopCat.{w}} def coveringOfPresieve (U : Opens X) (R : Presieve U) : (ΣV, { f : V ⟶ U // R f }) → Opens X := fun f => f.1 #align Top.presheaf.covering_of_presieve TopCat.Presheaf.coveringOfPresieve @[simp] theorem coveringOfPresieve_apply (U : Opens X) (R : Presieve U) (f : ΣV, { f : V ⟶ U // R f }) : coveringOfPresieve U R f = f.1 := rfl #align Top.presheaf.covering_of_presieve_apply TopCat.Presheaf.coveringOfPresieve_apply def presieveOfCoveringAux {ι : Type v} (U : ι → Opens X) (Y : Opens X) : Presieve Y := fun V _ => ∃ i, V = U i #align Top.presheaf.presieve_of_covering_aux TopCat.Presheaf.presieveOfCoveringAux def presieveOfCovering {ι : Type v} (U : ι → Opens X) : Presieve (iSup U) := presieveOfCoveringAux U (iSup U) #align Top.presheaf.presieve_of_covering TopCat.Presheaf.presieveOfCovering @[simp] theorem covering_presieve_eq_self {Y : Opens X} (R : Presieve Y) : presieveOfCoveringAux (coveringOfPresieve Y R) Y = R := by funext Z ext f exact ⟨fun ⟨⟨_, f', h⟩, rfl⟩ => by rwa [Subsingleton.elim f f'], fun h => ⟨⟨Z, f, h⟩, rfl⟩⟩ #align Top.presheaf.covering_presieve_eq_self TopCat.Presheaf.covering_presieve_eq_self namespace presieveOfCovering variable {ι : Type v} (U : ι → Opens X)
Mathlib/Topology/Sheaves/SheafCondition/Sites.lean
103
107
theorem mem_grothendieckTopology : Sieve.generate (presieveOfCovering U) ∈ Opens.grothendieckTopology X (iSup U) := by
intro x hx obtain ⟨i, hxi⟩ := Opens.mem_iSup.mp hx exact ⟨U i, Opens.leSupr U i, ⟨U i, 𝟙 _, Opens.leSupr U i, ⟨i, rfl⟩, Category.id_comp _⟩, hxi⟩
0
import Mathlib.LinearAlgebra.Matrix.Basis import Mathlib.LinearAlgebra.Matrix.Nondegenerate import Mathlib.LinearAlgebra.Matrix.NonsingularInverse import Mathlib.LinearAlgebra.Matrix.ToLinearEquiv import Mathlib.LinearAlgebra.BilinearForm.Properties import Mathlib.LinearAlgebra.Matrix.SesquilinearForm #align_import linear_algebra.matrix.bilinear_form from "leanprover-community/mathlib"@"075b3f7d19b9da85a0b54b3e33055a74fc388dec" open LinearMap (BilinForm) variable {R : Type*} {M : Type*} [CommSemiring R] [AddCommMonoid M] [Module R M] variable {R₁ : Type*} {M₁ : Type*} [CommRing R₁] [AddCommGroup M₁] [Module R₁ M₁] variable {R₂ : Type*} {M₂ : Type*} [CommSemiring R₂] [AddCommMonoid M₂] [Module R₂ M₂] variable {R₃ : Type*} {M₃ : Type*} [CommRing R₃] [AddCommGroup M₃] [Module R₃ M₃] variable {V : Type*} {K : Type*} [Field K] [AddCommGroup V] [Module K V] variable {B : BilinForm R M} {B₁ : BilinForm R₁ M₁} {B₂ : BilinForm R₂ M₂} section Matrix variable {n o : Type*} open Finset LinearMap Matrix open Matrix def Matrix.toBilin'Aux [Fintype n] (M : Matrix n n R₂) : BilinForm R₂ (n → R₂) := Matrix.toLinearMap₂'Aux _ _ M #align matrix.to_bilin'_aux Matrix.toBilin'Aux theorem Matrix.toBilin'Aux_stdBasis [Fintype n] [DecidableEq n] (M : Matrix n n R₂) (i j : n) : M.toBilin'Aux (LinearMap.stdBasis R₂ (fun _ => R₂) i 1) (LinearMap.stdBasis R₂ (fun _ => R₂) j 1) = M i j := Matrix.toLinearMap₂'Aux_stdBasis _ _ _ _ _ #align matrix.to_bilin'_aux_std_basis Matrix.toBilin'Aux_stdBasis def BilinForm.toMatrixAux (b : n → M₂) : BilinForm R₂ M₂ →ₗ[R₂] Matrix n n R₂ := LinearMap.toMatrix₂Aux b b #align bilin_form.to_matrix_aux BilinForm.toMatrixAux @[simp] theorem LinearMap.BilinForm.toMatrixAux_apply (B : BilinForm R₂ M₂) (b : n → M₂) (i j : n) : -- Porting note: had to hint the base ring even though it should be clear from context... BilinForm.toMatrixAux (R₂ := R₂) b B i j = B (b i) (b j) := LinearMap.toMatrix₂Aux_apply B _ _ _ _ #align bilin_form.to_matrix_aux_apply LinearMap.BilinForm.toMatrixAux_apply variable [Fintype n] [Fintype o]
Mathlib/LinearAlgebra/Matrix/BilinearForm.lean
88
93
theorem toBilin'Aux_toMatrixAux [DecidableEq n] (B₂ : BilinForm R₂ (n → R₂)) : -- Porting note: had to hint the base ring even though it should be clear from context... Matrix.toBilin'Aux (BilinForm.toMatrixAux (R₂ := R₂) (fun j => stdBasis R₂ (fun _ => R₂) j 1) B₂) = B₂ := by
rw [BilinForm.toMatrixAux, Matrix.toBilin'Aux, toLinearMap₂'Aux_toMatrix₂Aux]
0
import Mathlib.Algebra.Module.DedekindDomain import Mathlib.LinearAlgebra.FreeModule.PID import Mathlib.Algebra.Module.Projective import Mathlib.Algebra.Category.ModuleCat.Biproducts import Mathlib.RingTheory.SimpleModule #align_import algebra.module.pid from "leanprover-community/mathlib"@"cdc34484a07418af43daf8198beaf5c00324bca8" universe u v open scoped Classical variable {R : Type u} [CommRing R] [IsDomain R] [IsPrincipalIdealRing R] variable {M : Type v} [AddCommGroup M] [Module R M] variable {N : Type max u v} [AddCommGroup N] [Module R N] open scoped DirectSum open Submodule open UniqueFactorizationMonoid theorem Submodule.isSemisimple_torsionBy_of_irreducible {a : R} (h : Irreducible a) : IsSemisimpleModule R (torsionBy R M a) := haveI := PrincipalIdealRing.isMaximal_of_irreducible h letI := Ideal.Quotient.field (R ∙ a) (submodule_torsionBy_orderIso a).complementedLattice theorem Submodule.isInternal_prime_power_torsion_of_pid [Module.Finite R M] (hM : Module.IsTorsion R M) : DirectSum.IsInternal fun p : (factors (⊤ : Submodule R M).annihilator).toFinset => torsionBy R M (IsPrincipal.generator (p : Ideal R) ^ (factors (⊤ : Submodule R M).annihilator).count ↑p) := by convert isInternal_prime_power_torsion hM ext p : 1 rw [← torsionBySet_span_singleton_eq, Ideal.submodule_span_eq, ← Ideal.span_singleton_pow, Ideal.span_singleton_generator] #align submodule.is_internal_prime_power_torsion_of_pid Submodule.isInternal_prime_power_torsion_of_pid
Mathlib/Algebra/Module/PID.lean
89
98
theorem Submodule.exists_isInternal_prime_power_torsion_of_pid [Module.Finite R M] (hM : Module.IsTorsion R M) : ∃ (ι : Type u) (_ : Fintype ι) (_ : DecidableEq ι) (p : ι → R) (_ : ∀ i, Irreducible <| p i) (e : ι → ℕ), DirectSum.IsInternal fun i => torsionBy R M <| p i ^ e i := by
refine ⟨_, ?_, _, _, ?_, _, Submodule.isInternal_prime_power_torsion_of_pid hM⟩ · exact Finset.fintypeCoeSort _ · rintro ⟨p, hp⟩ have hP := prime_of_factor p (Multiset.mem_toFinset.mp hp) haveI := Ideal.isPrime_of_prime hP exact (IsPrincipal.prime_generator_of_isPrime p hP.ne_zero).irreducible
0
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
Mathlib/NumberTheory/VonMangoldt.lean
111
122
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')]
0
import Mathlib.CategoryTheory.PathCategory import Mathlib.CategoryTheory.Functor.FullyFaithful import Mathlib.CategoryTheory.Bicategory.Free import Mathlib.CategoryTheory.Bicategory.LocallyDiscrete #align_import category_theory.bicategory.coherence from "leanprover-community/mathlib"@"f187f1074fa1857c94589cc653c786cadc4c35ff" open Quiver (Path) open Quiver.Path namespace CategoryTheory open Bicategory Category universe v u namespace FreeBicategory variable {B : Type u} [Quiver.{v + 1} B] @[simp] def inclusionPathAux {a : B} : ∀ {b : B}, Path a b → Hom a b | _, nil => Hom.id a | _, cons p f => (inclusionPathAux p).comp (Hom.of f) #align category_theory.free_bicategory.inclusion_path_aux CategoryTheory.FreeBicategory.inclusionPathAux local instance homCategory' (a b : B) : Category (Hom a b) := homCategory a b def inclusionPath (a b : B) : Discrete (Path.{v + 1} a b) ⥤ Hom a b := Discrete.functor inclusionPathAux #align category_theory.free_bicategory.inclusion_path CategoryTheory.FreeBicategory.inclusionPath def preinclusion (B : Type u) [Quiver.{v + 1} B] : PrelaxFunctor (LocallyDiscrete (Paths B)) (FreeBicategory B) where obj a := a.as map := @fun a b f => (@inclusionPath B _ a.as b.as).obj f map₂ η := (inclusionPath _ _).map η #align category_theory.free_bicategory.preinclusion CategoryTheory.FreeBicategory.preinclusion @[simp] theorem preinclusion_obj (a : B) : (preinclusion B).obj ⟨a⟩ = a := rfl #align category_theory.free_bicategory.preinclusion_obj CategoryTheory.FreeBicategory.preinclusion_obj @[simp] theorem preinclusion_map₂ {a b : B} (f g : Discrete (Path.{v + 1} a b)) (η : f ⟶ g) : (preinclusion B).map₂ η = eqToHom (congr_arg _ (Discrete.ext _ _ (Discrete.eq_of_hom η))) := by rcases η with ⟨⟨⟩⟩ cases Discrete.ext _ _ (by assumption) convert (inclusionPath a b).map_id _ #align category_theory.free_bicategory.preinclusion_map₂ CategoryTheory.FreeBicategory.preinclusion_map₂ @[simp] def normalizeAux {a : B} : ∀ {b c : B}, Path a b → Hom b c → Path a c | _, _, p, Hom.of f => p.cons f | _, _, p, Hom.id _ => p | _, _, p, Hom.comp f g => normalizeAux (normalizeAux p f) g #align category_theory.free_bicategory.normalize_aux CategoryTheory.FreeBicategory.normalizeAux @[simp] def normalizeIso {a : B} : ∀ {b c : B} (p : Path a b) (f : Hom b c), (preinclusion B).map ⟨p⟩ ≫ f ≅ (preinclusion B).map ⟨normalizeAux p f⟩ | _, _, _, Hom.of _ => Iso.refl _ | _, _, _, Hom.id b => ρ_ _ | _, _, p, Hom.comp f g => (α_ _ _ _).symm ≪≫ whiskerRightIso (normalizeIso p f) g ≪≫ normalizeIso (normalizeAux p f) g #align category_theory.free_bicategory.normalize_iso CategoryTheory.FreeBicategory.normalizeIso
Mathlib/CategoryTheory/Bicategory/Coherence.lean
148
157
theorem normalizeAux_congr {a b c : B} (p : Path a b) {f g : Hom b c} (η : f ⟶ g) : normalizeAux p f = normalizeAux p g := by
rcases η with ⟨η'⟩ apply @congr_fun _ _ fun p => normalizeAux p f clear p η induction η' with | vcomp _ _ _ _ => apply Eq.trans <;> assumption | whisker_left _ _ ih => funext; apply congr_fun ih | whisker_right _ _ ih => funext; apply congr_arg₂ _ (congr_fun ih _) rfl | _ => funext; rfl
0
import Mathlib.MeasureTheory.Integral.IntervalIntegral import Mathlib.Analysis.Calculus.Deriv.ZPow import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.Analysis.SpecialFunctions.NonIntegrable import Mathlib.Analysis.Analytic.Basic #align_import measure_theory.integral.circle_integral from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" variable {E : Type*} [NormedAddCommGroup E] noncomputable section open scoped Real NNReal Interval Pointwise Topology open Complex MeasureTheory TopologicalSpace Metric Function Set Filter Asymptotics def circleMap (c : ℂ) (R : ℝ) : ℝ → ℂ := fun θ => c + R * exp (θ * I) #align circle_map circleMap theorem periodic_circleMap (c : ℂ) (R : ℝ) : Periodic (circleMap c R) (2 * π) := fun θ => by simp [circleMap, add_mul, exp_periodic _] #align periodic_circle_map periodic_circleMap theorem Set.Countable.preimage_circleMap {s : Set ℂ} (hs : s.Countable) (c : ℂ) {R : ℝ} (hR : R ≠ 0) : (circleMap c R ⁻¹' s).Countable := show (((↑) : ℝ → ℂ) ⁻¹' ((· * I) ⁻¹' (exp ⁻¹' ((R * ·) ⁻¹' ((c + ·) ⁻¹' s))))).Countable from (((hs.preimage (add_right_injective _)).preimage <| mul_right_injective₀ <| ofReal_ne_zero.2 hR).preimage_cexp.preimage <| mul_left_injective₀ I_ne_zero).preimage ofReal_injective #align set.countable.preimage_circle_map Set.Countable.preimage_circleMap @[simp] theorem circleMap_sub_center (c : ℂ) (R : ℝ) (θ : ℝ) : circleMap c R θ - c = circleMap 0 R θ := by simp [circleMap] #align circle_map_sub_center circleMap_sub_center theorem circleMap_zero (R θ : ℝ) : circleMap 0 R θ = R * exp (θ * I) := zero_add _ #align circle_map_zero circleMap_zero @[simp] theorem abs_circleMap_zero (R : ℝ) (θ : ℝ) : abs (circleMap 0 R θ) = |R| := by simp [circleMap] #align abs_circle_map_zero abs_circleMap_zero theorem circleMap_mem_sphere' (c : ℂ) (R : ℝ) (θ : ℝ) : circleMap c R θ ∈ sphere c |R| := by simp #align circle_map_mem_sphere' circleMap_mem_sphere' theorem circleMap_mem_sphere (c : ℂ) {R : ℝ} (hR : 0 ≤ R) (θ : ℝ) : circleMap c R θ ∈ sphere c R := by simpa only [_root_.abs_of_nonneg hR] using circleMap_mem_sphere' c R θ #align circle_map_mem_sphere circleMap_mem_sphere theorem circleMap_mem_closedBall (c : ℂ) {R : ℝ} (hR : 0 ≤ R) (θ : ℝ) : circleMap c R θ ∈ closedBall c R := sphere_subset_closedBall (circleMap_mem_sphere c hR θ) #align circle_map_mem_closed_ball circleMap_mem_closedBall theorem circleMap_not_mem_ball (c : ℂ) (R : ℝ) (θ : ℝ) : circleMap c R θ ∉ ball c R := by simp [dist_eq, le_abs_self] #align circle_map_not_mem_ball circleMap_not_mem_ball theorem circleMap_ne_mem_ball {c : ℂ} {R : ℝ} {w : ℂ} (hw : w ∈ ball c R) (θ : ℝ) : circleMap c R θ ≠ w := (ne_of_mem_of_not_mem hw (circleMap_not_mem_ball _ _ _)).symm #align circle_map_ne_mem_ball circleMap_ne_mem_ball @[simp] theorem range_circleMap (c : ℂ) (R : ℝ) : range (circleMap c R) = sphere c |R| := calc range (circleMap c R) = c +ᵥ R • range fun θ : ℝ => exp (θ * I) := by simp (config := { unfoldPartialApp := true }) only [← image_vadd, ← image_smul, ← range_comp, vadd_eq_add, circleMap, Function.comp_def, real_smul] _ = sphere c |R| := by rw [Complex.range_exp_mul_I, smul_sphere R 0 zero_le_one] simp #align range_circle_map range_circleMap @[simp] theorem image_circleMap_Ioc (c : ℂ) (R : ℝ) : circleMap c R '' Ioc 0 (2 * π) = sphere c |R| := by rw [← range_circleMap, ← (periodic_circleMap c R).image_Ioc Real.two_pi_pos 0, zero_add] #align image_circle_map_Ioc image_circleMap_Ioc @[simp] theorem circleMap_eq_center_iff {c : ℂ} {R : ℝ} {θ : ℝ} : circleMap c R θ = c ↔ R = 0 := by simp [circleMap, exp_ne_zero] #align circle_map_eq_center_iff circleMap_eq_center_iff @[simp] theorem circleMap_zero_radius (c : ℂ) : circleMap c 0 = const ℝ c := funext fun _ => circleMap_eq_center_iff.2 rfl #align circle_map_zero_radius circleMap_zero_radius theorem circleMap_ne_center {c : ℂ} {R : ℝ} (hR : R ≠ 0) {θ : ℝ} : circleMap c R θ ≠ c := mt circleMap_eq_center_iff.1 hR #align circle_map_ne_center circleMap_ne_center
Mathlib/MeasureTheory/Integral/CircleIntegral.lean
171
174
theorem hasDerivAt_circleMap (c : ℂ) (R : ℝ) (θ : ℝ) : HasDerivAt (circleMap c R) (circleMap 0 R θ * I) θ := by
simpa only [mul_assoc, one_mul, ofRealCLM_apply, circleMap, ofReal_one, zero_add] using (((ofRealCLM.hasDerivAt (x := θ)).mul_const I).cexp.const_mul (R : ℂ)).const_add c
0
import Mathlib.Data.Finsupp.Defs #align_import data.list.to_finsupp from "leanprover-community/mathlib"@"06a655b5fcfbda03502f9158bbf6c0f1400886f9" namespace List variable {M : Type*} [Zero M] (l : List M) [DecidablePred (getD l · 0 ≠ 0)] (n : ℕ) def toFinsupp : ℕ →₀ M where toFun i := getD l i 0 support := (Finset.range l.length).filter fun i => getD l i 0 ≠ 0 mem_support_toFun n := by simp only [Ne, Finset.mem_filter, Finset.mem_range, and_iff_right_iff_imp] contrapose! exact getD_eq_default _ _ #align list.to_finsupp List.toFinsupp @[norm_cast] theorem coe_toFinsupp : (l.toFinsupp : ℕ → M) = (l.getD · 0) := rfl #align list.coe_to_finsupp List.coe_toFinsupp @[simp, norm_cast] theorem toFinsupp_apply (i : ℕ) : (l.toFinsupp : ℕ → M) i = l.getD i 0 := rfl #align list.to_finsupp_apply List.toFinsupp_apply theorem toFinsupp_support : l.toFinsupp.support = (Finset.range l.length).filter (getD l · 0 ≠ 0) := rfl #align list.to_finsupp_support List.toFinsupp_support theorem toFinsupp_apply_lt (hn : n < l.length) : l.toFinsupp n = l.get ⟨n, hn⟩ := getD_eq_get _ _ _ theorem toFinsupp_apply_fin (n : Fin l.length) : l.toFinsupp n = l.get n := getD_eq_get _ _ _ set_option linter.deprecated false in @[deprecated (since := "2023-04-10")] theorem toFinsupp_apply_lt' (hn : n < l.length) : l.toFinsupp n = l.nthLe n hn := getD_eq_get _ _ _ #align list.to_finsupp_apply_lt List.toFinsupp_apply_lt' theorem toFinsupp_apply_le (hn : l.length ≤ n) : l.toFinsupp n = 0 := getD_eq_default _ _ hn #align list.to_finsupp_apply_le List.toFinsupp_apply_le @[simp] theorem toFinsupp_nil [DecidablePred fun i => getD ([] : List M) i 0 ≠ 0] : toFinsupp ([] : List M) = 0 := by ext simp #align list.to_finsupp_nil List.toFinsupp_nil theorem toFinsupp_singleton (x : M) [DecidablePred (getD [x] · 0 ≠ 0)] : toFinsupp [x] = Finsupp.single 0 x := by ext ⟨_ | i⟩ <;> simp [Finsupp.single_apply, (Nat.zero_lt_succ _).ne] #align list.to_finsupp_singleton List.toFinsupp_singleton @[simp] theorem toFinsupp_cons_apply_zero (x : M) (xs : List M) [DecidablePred (getD (x::xs) · 0 ≠ 0)] : (x::xs).toFinsupp 0 = x := rfl #align list.to_finsupp_cons_apply_zero List.toFinsupp_cons_apply_zero @[simp] theorem toFinsupp_cons_apply_succ (x : M) (xs : List M) (n : ℕ) [DecidablePred (getD (x::xs) · 0 ≠ 0)] [DecidablePred (getD xs · 0 ≠ 0)] : (x::xs).toFinsupp n.succ = xs.toFinsupp n := rfl #align list.to_finsupp_cons_apply_succ List.toFinsupp_cons_apply_succ -- Porting note (#10756): new theorem theorem toFinsupp_append {R : Type*} [AddZeroClass R] (l₁ l₂ : List R) [DecidablePred (getD (l₁ ++ l₂) · 0 ≠ 0)] [DecidablePred (getD l₁ · 0 ≠ 0)] [DecidablePred (getD l₂ · 0 ≠ 0)] : toFinsupp (l₁ ++ l₂) = toFinsupp l₁ + (toFinsupp l₂).embDomain (addLeftEmbedding l₁.length) := by ext n simp only [toFinsupp_apply, Finsupp.add_apply] cases lt_or_le n l₁.length with | inl h => rw [getD_append _ _ _ _ h, Finsupp.embDomain_notin_range, add_zero] rintro ⟨k, rfl : length l₁ + k = n⟩ omega | inr h => rcases Nat.exists_eq_add_of_le h with ⟨k, rfl⟩ rw [getD_append_right _ _ _ _ h, Nat.add_sub_cancel_left, getD_eq_default _ _ h, zero_add] exact Eq.symm (Finsupp.embDomain_apply _ _ _)
Mathlib/Data/List/ToFinsupp.lean
128
136
theorem toFinsupp_cons_eq_single_add_embDomain {R : Type*} [AddZeroClass R] (x : R) (xs : List R) [DecidablePred (getD (x::xs) · 0 ≠ 0)] [DecidablePred (getD xs · 0 ≠ 0)] : toFinsupp (x::xs) = Finsupp.single 0 x + (toFinsupp xs).embDomain ⟨Nat.succ, Nat.succ_injective⟩ := by
classical convert toFinsupp_append [x] xs using 3 · exact (toFinsupp_singleton x).symm · ext n exact add_comm n 1
0
set_option autoImplicit true namespace Array @[simp] theorem extract_eq_nil_of_start_eq_end {a : Array α} : a.extract i i = #[] := by refine extract_empty_of_stop_le_start a ?h exact Nat.le_refl i
Mathlib/Data/Array/ExtractLemmas.lean
21
27
theorem extract_append_left {a b : Array α} {i j : Nat} (h : j ≤ a.size) : (a ++ b).extract i j = a.extract i j := by
apply ext · simp only [size_extract, size_append] omega · intro h1 h2 h3 rw [get_extract, get_append_left, get_extract]
0
import Mathlib.LinearAlgebra.Alternating.Basic import Mathlib.LinearAlgebra.Multilinear.TensorProduct import Mathlib.GroupTheory.GroupAction.Quotient #align_import linear_algebra.alternating from "leanprover-community/mathlib"@"0c1d80f5a86b36c1db32e021e8d19ae7809d5b79" suppress_compilation open TensorProduct variable {ιa ιb : Type*} [Fintype ιa] [Fintype ιb] variable {R' : Type*} {Mᵢ N₁ N₂ : Type*} [CommSemiring R'] [AddCommGroup N₁] [Module R' N₁] [AddCommGroup N₂] [Module R' N₂] [AddCommMonoid Mᵢ] [Module R' Mᵢ] open Equiv
Mathlib/LinearAlgebra/Alternating/DomCoprod.lean
212
222
theorem MultilinearMap.domCoprod_alternization_coe [DecidableEq ιa] [DecidableEq ιb] (a : MultilinearMap R' (fun _ : ιa => Mᵢ) N₁) (b : MultilinearMap R' (fun _ : ιb => Mᵢ) N₂) : MultilinearMap.domCoprod (MultilinearMap.alternatization a) (MultilinearMap.alternatization b) = ∑ σa : Perm ιa, ∑ σb : Perm ιb, Equiv.Perm.sign σa • Equiv.Perm.sign σb • MultilinearMap.domCoprod (a.domDomCongr σa) (b.domDomCongr σb) := by
simp_rw [← MultilinearMap.domCoprod'_apply, MultilinearMap.alternatization_coe] simp_rw [TensorProduct.sum_tmul, TensorProduct.tmul_sum, _root_.map_sum, ← TensorProduct.smul_tmul', TensorProduct.tmul_smul] rfl
0
import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent import Mathlib.Analysis.Normed.Group.Lemmas import Mathlib.Analysis.NormedSpace.AddTorsor import Mathlib.Analysis.NormedSpace.AffineIsometry import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace import Mathlib.Analysis.NormedSpace.RieszLemma import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.Topology.Algebra.Module.FiniteDimension import Mathlib.Topology.Algebra.InfiniteSum.Module import Mathlib.Topology.Instances.Matrix #align_import analysis.normed_space.finite_dimension from "leanprover-community/mathlib"@"9425b6f8220e53b059f5a4904786c3c4b50fc057" universe u v w x noncomputable section open Set FiniteDimensional TopologicalSpace Filter Asymptotics Classical Topology NNReal Metric section CompleteField variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] {E : Type v} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type w} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {F' : Type x} [AddCommGroup F'] [Module 𝕜 F'] [TopologicalSpace F'] [TopologicalAddGroup F'] [ContinuousSMul 𝕜 F'] [CompleteSpace 𝕜] theorem ContinuousLinearMap.continuous_det : Continuous fun f : E →L[𝕜] E => f.det := by change Continuous fun f : E →L[𝕜] E => LinearMap.det (f : E →ₗ[𝕜] E) -- Porting note: this could be easier with `det_cases` by_cases h : ∃ s : Finset E, Nonempty (Basis (↥s) 𝕜 E) · rcases h with ⟨s, ⟨b⟩⟩ haveI : FiniteDimensional 𝕜 E := FiniteDimensional.of_fintype_basis b simp_rw [LinearMap.det_eq_det_toMatrix_of_finset b] refine Continuous.matrix_det ?_ exact ((LinearMap.toMatrix b b).toLinearMap.comp (ContinuousLinearMap.coeLM 𝕜)).continuous_of_finiteDimensional · -- Porting note: was `unfold LinearMap.det` rw [LinearMap.det_def] simpa only [h, MonoidHom.one_apply, dif_neg, not_false_iff] using continuous_const #align continuous_linear_map.continuous_det ContinuousLinearMap.continuous_det irreducible_def lipschitzExtensionConstant (E' : Type*) [NormedAddCommGroup E'] [NormedSpace ℝ E'] [FiniteDimensional ℝ E'] : ℝ≥0 := let A := (Basis.ofVectorSpace ℝ E').equivFun.toContinuousLinearEquiv max (‖A.symm.toContinuousLinearMap‖₊ * ‖A.toContinuousLinearMap‖₊) 1 #align lipschitz_extension_constant lipschitzExtensionConstant theorem lipschitzExtensionConstant_pos (E' : Type*) [NormedAddCommGroup E'] [NormedSpace ℝ E'] [FiniteDimensional ℝ E'] : 0 < lipschitzExtensionConstant E' := by rw [lipschitzExtensionConstant] exact zero_lt_one.trans_le (le_max_right _ _) #align lipschitz_extension_constant_pos lipschitzExtensionConstant_pos
Mathlib/Analysis/NormedSpace/FiniteDimension.lean
198
220
theorem LipschitzOnWith.extend_finite_dimension {α : Type*} [PseudoMetricSpace α] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace ℝ E'] [FiniteDimensional ℝ E'] {s : Set α} {f : α → E'} {K : ℝ≥0} (hf : LipschitzOnWith K f s) : ∃ g : α → E', LipschitzWith (lipschitzExtensionConstant E' * K) g ∧ EqOn f g s := by
/- This result is already known for spaces `ι → ℝ`. We use a continuous linear equiv between `E'` and such a space to transfer the result to `E'`. -/ let ι : Type _ := Basis.ofVectorSpaceIndex ℝ E' let A := (Basis.ofVectorSpace ℝ E').equivFun.toContinuousLinearEquiv have LA : LipschitzWith ‖A.toContinuousLinearMap‖₊ A := by apply A.lipschitz have L : LipschitzOnWith (‖A.toContinuousLinearMap‖₊ * K) (A ∘ f) s := LA.comp_lipschitzOnWith hf obtain ⟨g, hg, gs⟩ : ∃ g : α → ι → ℝ, LipschitzWith (‖A.toContinuousLinearMap‖₊ * K) g ∧ EqOn (A ∘ f) g s := L.extend_pi refine ⟨A.symm ∘ g, ?_, ?_⟩ · have LAsymm : LipschitzWith ‖A.symm.toContinuousLinearMap‖₊ A.symm := by apply A.symm.lipschitz apply (LAsymm.comp hg).weaken rw [lipschitzExtensionConstant, ← mul_assoc] exact mul_le_mul' (le_max_left _ _) le_rfl · intro x hx have : A (f x) = g x := gs hx simp only [(· ∘ ·), ← this, A.symm_apply_apply]
0
import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import analysis.normed_space.lp_space from "leanprover-community/mathlib"@"de83b43717abe353f425855fcf0cedf9ea0fe8a4" noncomputable section open scoped NNReal ENNReal Function variable {α : Type*} {E : α → Type*} {p q : ℝ≥0∞} [∀ i, NormedAddCommGroup (E i)] def Memℓp (f : ∀ i, E i) (p : ℝ≥0∞) : Prop := if p = 0 then Set.Finite { i | f i ≠ 0 } else if p = ∞ then BddAbove (Set.range fun i => ‖f i‖) else Summable fun i => ‖f i‖ ^ p.toReal #align mem_ℓp Memℓp theorem memℓp_zero_iff {f : ∀ i, E i} : Memℓp f 0 ↔ Set.Finite { i | f i ≠ 0 } := by dsimp [Memℓp] rw [if_pos rfl] #align mem_ℓp_zero_iff memℓp_zero_iff theorem memℓp_zero {f : ∀ i, E i} (hf : Set.Finite { i | f i ≠ 0 }) : Memℓp f 0 := memℓp_zero_iff.2 hf #align mem_ℓp_zero memℓp_zero theorem memℓp_infty_iff {f : ∀ i, E i} : Memℓp f ∞ ↔ BddAbove (Set.range fun i => ‖f i‖) := by dsimp [Memℓp] rw [if_neg ENNReal.top_ne_zero, if_pos rfl] #align mem_ℓp_infty_iff memℓp_infty_iff theorem memℓp_infty {f : ∀ i, E i} (hf : BddAbove (Set.range fun i => ‖f i‖)) : Memℓp f ∞ := memℓp_infty_iff.2 hf #align mem_ℓp_infty memℓp_infty
Mathlib/Analysis/NormedSpace/lpSpace.lean
99
103
theorem memℓp_gen_iff (hp : 0 < p.toReal) {f : ∀ i, E i} : Memℓp f p ↔ Summable fun i => ‖f i‖ ^ p.toReal := by
rw [ENNReal.toReal_pos_iff] at hp dsimp [Memℓp] rw [if_neg hp.1.ne', if_neg hp.2.ne]
0
import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.RingTheory.Polynomial.Bernstein import Mathlib.Topology.ContinuousFunction.Polynomial import Mathlib.Topology.ContinuousFunction.Compact #align_import analysis.special_functions.bernstein from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" set_option linter.uppercaseLean3 false -- S noncomputable section open scoped Classical BoundedContinuousFunction unitInterval def bernstein (n ν : ℕ) : C(I, ℝ) := (bernsteinPolynomial ℝ n ν).toContinuousMapOn I #align bernstein bernstein @[simp] theorem bernstein_apply (n ν : ℕ) (x : I) : bernstein n ν x = (n.choose ν : ℝ) * (x : ℝ) ^ ν * (1 - (x : ℝ)) ^ (n - ν) := by dsimp [bernstein, Polynomial.toContinuousMapOn, Polynomial.toContinuousMap, bernsteinPolynomial] simp #align bernstein_apply bernstein_apply theorem bernstein_nonneg {n ν : ℕ} {x : I} : 0 ≤ bernstein n ν x := by simp only [bernstein_apply] have h₁ : (0:ℝ) ≤ x := by unit_interval have h₂ : (0:ℝ) ≤ 1 - x := by unit_interval positivity #align bernstein_nonneg bernstein_nonneg namespace bernstein def z {n : ℕ} (k : Fin (n + 1)) : I := ⟨(k : ℝ) / n, by cases' n with n · norm_num · have h₁ : 0 < (n.succ : ℝ) := mod_cast Nat.succ_pos _ have h₂ : ↑k ≤ n.succ := mod_cast Fin.le_last k rw [Set.mem_Icc, le_div_iff h₁, div_le_iff h₁] norm_cast simp [h₂]⟩ #align bernstein.z bernstein.z local postfix:90 "/ₙ" => z
Mathlib/Analysis/SpecialFunctions/Bernstein.lean
109
114
theorem probability (n : ℕ) (x : I) : (∑ k : Fin (n + 1), bernstein n k x) = 1 := by
have := bernsteinPolynomial.sum ℝ n apply_fun fun p => Polynomial.aeval (x : ℝ) p at this simp? [AlgHom.map_sum, Finset.sum_range] at this says simp only [Finset.sum_range, map_sum, Polynomial.coe_aeval_eq_eval, map_one] at this exact this
0
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
0
import Mathlib.Geometry.Manifold.Diffeomorph import Mathlib.Geometry.Manifold.Instances.Real import Mathlib.Geometry.Manifold.PartitionOfUnity #align_import geometry.manifold.whitney_embedding from "leanprover-community/mathlib"@"86c29aefdba50b3f33e86e52e3b2f51a0d8f0282" universe uι uE uH uM variable {ι : Type uι} {E : Type uE} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] {H : Type uH} [TopologicalSpace H] {I : ModelWithCorners ℝ E H} {M : Type uM} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] open Function Filter FiniteDimensional Set open scoped Topology Manifold Classical Filter noncomputable section namespace SmoothBumpCovering variable [T2Space M] [hi : Fintype ι] {s : Set M} (f : SmoothBumpCovering ι I M s) def embeddingPiTangent : C^∞⟮I, M; 𝓘(ℝ, ι → E × ℝ), ι → E × ℝ⟯ where val x i := (f i x • extChartAt I (f.c i) x, f i x) property := contMDiff_pi_space.2 fun i => ((f i).smooth_smul contMDiffOn_extChartAt).prod_mk_space (f i).smooth #align smooth_bump_covering.embedding_pi_tangent SmoothBumpCovering.embeddingPiTangent @[local simp] theorem embeddingPiTangent_coe : ⇑f.embeddingPiTangent = fun x i => (f i x • extChartAt I (f.c i) x, f i x) := rfl #align smooth_bump_covering.embedding_pi_tangent_coe SmoothBumpCovering.embeddingPiTangent_coe theorem embeddingPiTangent_injOn : InjOn f.embeddingPiTangent s := by intro x hx y _ h simp only [embeddingPiTangent_coe, funext_iff] at h obtain ⟨h₁, h₂⟩ := Prod.mk.inj_iff.1 (h (f.ind x hx)) rw [f.apply_ind x hx] at h₂ rw [← h₂, f.apply_ind x hx, one_smul, one_smul] at h₁ have := f.mem_extChartAt_source_of_eq_one h₂.symm exact (extChartAt I (f.c _)).injOn (f.mem_extChartAt_ind_source x hx) this h₁ #align smooth_bump_covering.embedding_pi_tangent_inj_on SmoothBumpCovering.embeddingPiTangent_injOn theorem embeddingPiTangent_injective (f : SmoothBumpCovering ι I M) : Injective f.embeddingPiTangent := injective_iff_injOn_univ.2 f.embeddingPiTangent_injOn #align smooth_bump_covering.embedding_pi_tangent_injective SmoothBumpCovering.embeddingPiTangent_injective
Mathlib/Geometry/Manifold/WhitneyEmbedding.lean
83
98
theorem comp_embeddingPiTangent_mfderiv (x : M) (hx : x ∈ s) : ((ContinuousLinearMap.fst ℝ E ℝ).comp (@ContinuousLinearMap.proj ℝ _ ι (fun _ => E × ℝ) _ _ (fun _ => inferInstance) (f.ind x hx))).comp (mfderiv I 𝓘(ℝ, ι → E × ℝ) f.embeddingPiTangent x) = mfderiv I I (chartAt H (f.c (f.ind x hx))) x := by
set L := (ContinuousLinearMap.fst ℝ E ℝ).comp (@ContinuousLinearMap.proj ℝ _ ι (fun _ => E × ℝ) _ _ (fun _ => inferInstance) (f.ind x hx)) have := L.hasMFDerivAt.comp x f.embeddingPiTangent.smooth.mdifferentiableAt.hasMFDerivAt convert hasMFDerivAt_unique this _ refine (hasMFDerivAt_extChartAt I (f.mem_chartAt_ind_source x hx)).congr_of_eventuallyEq ?_ refine (f.eventuallyEq_one x hx).mono fun y hy => ?_ simp only [L, embeddingPiTangent_coe, ContinuousLinearMap.coe_comp', (· ∘ ·), ContinuousLinearMap.coe_fst', ContinuousLinearMap.proj_apply] rw [hy, Pi.one_apply, one_smul]
0
import Mathlib.Algebra.Algebra.Defs import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.RingTheory.Localization.Basic import Mathlib.SetTheory.Game.Birthday import Mathlib.SetTheory.Surreal.Basic #align_import set_theory.surreal.dyadic from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" universe u namespace SetTheory namespace PGame def powHalf : ℕ → PGame | 0 => 1 | n + 1 => ⟨PUnit, PUnit, 0, fun _ => powHalf n⟩ #align pgame.pow_half SetTheory.PGame.powHalf @[simp] theorem powHalf_zero : powHalf 0 = 1 := rfl #align pgame.pow_half_zero SetTheory.PGame.powHalf_zero theorem powHalf_leftMoves (n) : (powHalf n).LeftMoves = PUnit := by cases n <;> rfl #align pgame.pow_half_left_moves SetTheory.PGame.powHalf_leftMoves theorem powHalf_zero_rightMoves : (powHalf 0).RightMoves = PEmpty := rfl #align pgame.pow_half_zero_right_moves SetTheory.PGame.powHalf_zero_rightMoves theorem powHalf_succ_rightMoves (n) : (powHalf (n + 1)).RightMoves = PUnit := rfl #align pgame.pow_half_succ_right_moves SetTheory.PGame.powHalf_succ_rightMoves @[simp] theorem powHalf_moveLeft (n i) : (powHalf n).moveLeft i = 0 := by cases n <;> cases i <;> rfl #align pgame.pow_half_move_left SetTheory.PGame.powHalf_moveLeft @[simp] theorem powHalf_succ_moveRight (n i) : (powHalf (n + 1)).moveRight i = powHalf n := rfl #align pgame.pow_half_succ_move_right SetTheory.PGame.powHalf_succ_moveRight instance uniquePowHalfLeftMoves (n) : Unique (powHalf n).LeftMoves := by cases n <;> exact PUnit.unique #align pgame.unique_pow_half_left_moves SetTheory.PGame.uniquePowHalfLeftMoves instance isEmpty_powHalf_zero_rightMoves : IsEmpty (powHalf 0).RightMoves := inferInstanceAs (IsEmpty PEmpty) #align pgame.is_empty_pow_half_zero_right_moves SetTheory.PGame.isEmpty_powHalf_zero_rightMoves instance uniquePowHalfSuccRightMoves (n) : Unique (powHalf (n + 1)).RightMoves := PUnit.unique #align pgame.unique_pow_half_succ_right_moves SetTheory.PGame.uniquePowHalfSuccRightMoves @[simp] theorem birthday_half : birthday (powHalf 1) = 2 := by rw [birthday_def]; simp #align pgame.birthday_half SetTheory.PGame.birthday_half theorem numeric_powHalf (n) : (powHalf n).Numeric := by induction' n with n hn · exact numeric_one · constructor · simpa using hn.moveLeft_lt default · exact ⟨fun _ => numeric_zero, fun _ => hn⟩ #align pgame.numeric_pow_half SetTheory.PGame.numeric_powHalf theorem powHalf_succ_lt_powHalf (n : ℕ) : powHalf (n + 1) < powHalf n := (numeric_powHalf (n + 1)).lt_moveRight default #align pgame.pow_half_succ_lt_pow_half SetTheory.PGame.powHalf_succ_lt_powHalf theorem powHalf_succ_le_powHalf (n : ℕ) : powHalf (n + 1) ≤ powHalf n := (powHalf_succ_lt_powHalf n).le #align pgame.pow_half_succ_le_pow_half SetTheory.PGame.powHalf_succ_le_powHalf theorem powHalf_le_one (n : ℕ) : powHalf n ≤ 1 := by induction' n with n hn · exact le_rfl · exact (powHalf_succ_le_powHalf n).trans hn #align pgame.pow_half_le_one SetTheory.PGame.powHalf_le_one theorem powHalf_succ_lt_one (n : ℕ) : powHalf (n + 1) < 1 := (powHalf_succ_lt_powHalf n).trans_le <| powHalf_le_one n #align pgame.pow_half_succ_lt_one SetTheory.PGame.powHalf_succ_lt_one
Mathlib/SetTheory/Surreal/Dyadic.lean
116
117
theorem powHalf_pos (n : ℕ) : 0 < powHalf n := by
rw [← lf_iff_lt numeric_zero (numeric_powHalf n), zero_lf_le]; simp
0
import Mathlib.Algebra.GCDMonoid.Finset import Mathlib.Algebra.Polynomial.CancelLeads import Mathlib.Algebra.Polynomial.EraseLead import Mathlib.Algebra.Polynomial.FieldDivision #align_import ring_theory.polynomial.content from "leanprover-community/mathlib"@"7a030ab8eb5d99f05a891dccc49c5b5b90c947d3" namespace Polynomial open Polynomial variable {R : Type*} [CommRing R] [IsDomain R] section NormalizedGCDMonoid variable [NormalizedGCDMonoid R] def content (p : R[X]) : R := p.support.gcd p.coeff #align polynomial.content Polynomial.content theorem content_dvd_coeff {p : R[X]} (n : ℕ) : p.content ∣ p.coeff n := by by_cases h : n ∈ p.support · apply Finset.gcd_dvd h rw [mem_support_iff, Classical.not_not] at h rw [h] apply dvd_zero #align polynomial.content_dvd_coeff Polynomial.content_dvd_coeff @[simp] theorem content_C {r : R} : (C r).content = normalize r := by rw [content] by_cases h0 : r = 0 · simp [h0] have h : (C r).support = {0} := support_monomial _ h0 simp [h] set_option linter.uppercaseLean3 false in #align polynomial.content_C Polynomial.content_C @[simp] theorem content_zero : content (0 : R[X]) = 0 := by rw [← C_0, content_C, normalize_zero] #align polynomial.content_zero Polynomial.content_zero @[simp] theorem content_one : content (1 : R[X]) = 1 := by rw [← C_1, content_C, normalize_one] #align polynomial.content_one Polynomial.content_one
Mathlib/RingTheory/Polynomial/Content.lean
109
129
theorem content_X_mul {p : R[X]} : content (X * p) = content p := by
rw [content, content, Finset.gcd_def, Finset.gcd_def] refine congr rfl ?_ have h : (X * p).support = p.support.map ⟨Nat.succ, Nat.succ_injective⟩ := by ext a simp only [exists_prop, Finset.mem_map, Function.Embedding.coeFn_mk, Ne, mem_support_iff] cases' a with a · simp [coeff_X_mul_zero, Nat.succ_ne_zero] rw [mul_comm, coeff_mul_X] constructor · intro h use a · rintro ⟨b, ⟨h1, h2⟩⟩ rw [← Nat.succ_injective h2] apply h1 rw [h] simp only [Finset.map_val, Function.comp_apply, Function.Embedding.coeFn_mk, Multiset.map_map] refine congr (congr rfl ?_) rfl ext a rw [mul_comm] simp [coeff_mul_X]
0
import Mathlib.Algebra.Quaternion import Mathlib.Tactic.Ring #align_import algebra.quaternion_basis from "leanprover-community/mathlib"@"3aa5b8a9ed7a7cabd36e6e1d022c9858ab8a8c2d" open Quaternion namespace QuaternionAlgebra structure Basis {R : Type*} (A : Type*) [CommRing R] [Ring A] [Algebra R A] (c₁ c₂ : R) where (i j k : A) i_mul_i : i * i = c₁ • (1 : A) j_mul_j : j * j = c₂ • (1 : A) i_mul_j : i * j = k j_mul_i : j * i = -k #align quaternion_algebra.basis QuaternionAlgebra.Basis variable {R : Type*} {A B : Type*} [CommRing R] [Ring A] [Ring B] [Algebra R A] [Algebra R B] variable {c₁ c₂ : R} namespace Basis @[ext] protected theorem ext ⦃q₁ q₂ : Basis A c₁ c₂⦄ (hi : q₁.i = q₂.i) (hj : q₁.j = q₂.j) : q₁ = q₂ := by cases q₁; rename_i q₁_i_mul_j _ cases q₂; rename_i q₂_i_mul_j _ congr rw [← q₁_i_mul_j, ← q₂_i_mul_j] congr #align quaternion_algebra.basis.ext QuaternionAlgebra.Basis.ext variable (R) @[simps i j k] protected def self : Basis ℍ[R,c₁,c₂] c₁ c₂ where i := ⟨0, 1, 0, 0⟩ i_mul_i := by ext <;> simp j := ⟨0, 0, 1, 0⟩ j_mul_j := by ext <;> simp k := ⟨0, 0, 0, 1⟩ i_mul_j := by ext <;> simp j_mul_i := by ext <;> simp #align quaternion_algebra.basis.self QuaternionAlgebra.Basis.self variable {R} instance : Inhabited (Basis ℍ[R,c₁,c₂] c₁ c₂) := ⟨Basis.self R⟩ variable (q : Basis A c₁ c₂) attribute [simp] i_mul_i j_mul_j i_mul_j j_mul_i @[simp] theorem i_mul_k : q.i * q.k = c₁ • q.j := by rw [← i_mul_j, ← mul_assoc, i_mul_i, smul_mul_assoc, one_mul] #align quaternion_algebra.basis.i_mul_k QuaternionAlgebra.Basis.i_mul_k @[simp] theorem k_mul_i : q.k * q.i = -c₁ • q.j := by rw [← i_mul_j, mul_assoc, j_mul_i, mul_neg, i_mul_k, neg_smul] #align quaternion_algebra.basis.k_mul_i QuaternionAlgebra.Basis.k_mul_i @[simp] theorem k_mul_j : q.k * q.j = c₂ • q.i := by rw [← i_mul_j, mul_assoc, j_mul_j, mul_smul_comm, mul_one] #align quaternion_algebra.basis.k_mul_j QuaternionAlgebra.Basis.k_mul_j @[simp] theorem j_mul_k : q.j * q.k = -c₂ • q.i := by rw [← i_mul_j, ← mul_assoc, j_mul_i, neg_mul, k_mul_j, neg_smul] #align quaternion_algebra.basis.j_mul_k QuaternionAlgebra.Basis.j_mul_k @[simp]
Mathlib/Algebra/QuaternionBasis.lean
104
106
theorem k_mul_k : q.k * q.k = -((c₁ * c₂) • (1 : A)) := by
rw [← i_mul_j, mul_assoc, ← mul_assoc q.j _ _, j_mul_i, ← i_mul_j, ← mul_assoc, mul_neg, ← mul_assoc, i_mul_i, smul_mul_assoc, one_mul, neg_mul, smul_mul_assoc, j_mul_j, smul_smul]
0
import Mathlib.SetTheory.Ordinal.FixedPoint #align_import set_theory.ordinal.principal from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7" universe u v w noncomputable section open Order namespace Ordinal -- Porting note: commented out, doesn't seem necessary --local infixr:0 "^" => @pow Ordinal Ordinal Ordinal.hasPow def Principal (op : Ordinal → Ordinal → Ordinal) (o : Ordinal) : Prop := ∀ ⦃a b⦄, a < o → b < o → op a b < o #align ordinal.principal Ordinal.Principal theorem principal_iff_principal_swap {op : Ordinal → Ordinal → Ordinal} {o : Ordinal} : Principal op o ↔ Principal (Function.swap op) o := by constructor <;> exact fun h a b ha hb => h hb ha #align ordinal.principal_iff_principal_swap Ordinal.principal_iff_principal_swap theorem principal_zero {op : Ordinal → Ordinal → Ordinal} : Principal op 0 := fun a _ h => (Ordinal.not_lt_zero a h).elim #align ordinal.principal_zero Ordinal.principal_zero @[simp]
Mathlib/SetTheory/Ordinal/Principal.lean
62
66
theorem principal_one_iff {op : Ordinal → Ordinal → Ordinal} : Principal op 1 ↔ op 0 0 = 0 := by
refine ⟨fun h => ?_, fun h a b ha hb => ?_⟩ · rw [← lt_one_iff_zero] exact h zero_lt_one zero_lt_one · rwa [lt_one_iff_zero, ha, hb] at *
0
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')⟩
0
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
0
import Mathlib.Analysis.Calculus.ContDiff.Defs import Mathlib.Analysis.Calculus.MeanValue #align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open Set Fin Filter Function open scoped NNReal Topology section Real variable {n : ℕ∞} {𝕂 : Type*} [RCLike 𝕂] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕂 E'] {F' : Type*} [NormedAddCommGroup F'] [NormedSpace 𝕂 F'] theorem HasFTaylorSeriesUpToOn.hasStrictFDerivAt {s : Set E'} {f : E' → F'} {x : E'} {p : E' → FormalMultilinearSeries 𝕂 E' F'} (hf : HasFTaylorSeriesUpToOn n f p s) (hn : 1 ≤ n) (hs : s ∈ 𝓝 x) : HasStrictFDerivAt f ((continuousMultilinearCurryFin1 𝕂 E' F') (p x 1)) x := hasStrictFDerivAt_of_hasFDerivAt_of_continuousAt (hf.eventually_hasFDerivAt hn hs) <| (continuousMultilinearCurryFin1 𝕂 E' F').continuousAt.comp <| (hf.cont 1 hn).continuousAt hs #align has_ftaylor_series_up_to_on.has_strict_fderiv_at HasFTaylorSeriesUpToOn.hasStrictFDerivAt theorem ContDiffAt.hasStrictFDerivAt' {f : E' → F'} {f' : E' →L[𝕂] F'} {x : E'} (hf : ContDiffAt 𝕂 n f x) (hf' : HasFDerivAt f f' x) (hn : 1 ≤ n) : HasStrictFDerivAt f f' x := by rcases hf 1 hn with ⟨u, H, p, hp⟩ simp only [nhdsWithin_univ, mem_univ, insert_eq_of_mem] at H have := hp.hasStrictFDerivAt le_rfl H rwa [hf'.unique this.hasFDerivAt] #align cont_diff_at.has_strict_fderiv_at' ContDiffAt.hasStrictFDerivAt' theorem ContDiffAt.hasStrictDerivAt' {f : 𝕂 → F'} {f' : F'} {x : 𝕂} (hf : ContDiffAt 𝕂 n f x) (hf' : HasDerivAt f f' x) (hn : 1 ≤ n) : HasStrictDerivAt f f' x := hf.hasStrictFDerivAt' hf' hn #align cont_diff_at.has_strict_deriv_at' ContDiffAt.hasStrictDerivAt' theorem ContDiffAt.hasStrictFDerivAt {f : E' → F'} {x : E'} (hf : ContDiffAt 𝕂 n f x) (hn : 1 ≤ n) : HasStrictFDerivAt f (fderiv 𝕂 f x) x := hf.hasStrictFDerivAt' (hf.differentiableAt hn).hasFDerivAt hn #align cont_diff_at.has_strict_fderiv_at ContDiffAt.hasStrictFDerivAt theorem ContDiffAt.hasStrictDerivAt {f : 𝕂 → F'} {x : 𝕂} (hf : ContDiffAt 𝕂 n f x) (hn : 1 ≤ n) : HasStrictDerivAt f (deriv f x) x := (hf.hasStrictFDerivAt hn).hasStrictDerivAt #align cont_diff_at.has_strict_deriv_at ContDiffAt.hasStrictDerivAt theorem ContDiff.hasStrictFDerivAt {f : E' → F'} {x : E'} (hf : ContDiff 𝕂 n f) (hn : 1 ≤ n) : HasStrictFDerivAt f (fderiv 𝕂 f x) x := hf.contDiffAt.hasStrictFDerivAt hn #align cont_diff.has_strict_fderiv_at ContDiff.hasStrictFDerivAt theorem ContDiff.hasStrictDerivAt {f : 𝕂 → F'} {x : 𝕂} (hf : ContDiff 𝕂 n f) (hn : 1 ≤ n) : HasStrictDerivAt f (deriv f x) x := hf.contDiffAt.hasStrictDerivAt hn #align cont_diff.has_strict_deriv_at ContDiff.hasStrictDerivAt
Mathlib/Analysis/Calculus/ContDiff/RCLike.lean
87
101
theorem HasFTaylorSeriesUpToOn.exists_lipschitzOnWith_of_nnnorm_lt {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {f : E → F} {p : E → FormalMultilinearSeries ℝ E F} {s : Set E} {x : E} (hf : HasFTaylorSeriesUpToOn 1 f p (insert x s)) (hs : Convex ℝ s) (K : ℝ≥0) (hK : ‖p x 1‖₊ < K) : ∃ t ∈ 𝓝[s] x, LipschitzOnWith K f t := by
set f' := fun y => continuousMultilinearCurryFin1 ℝ E F (p y 1) have hder : ∀ y ∈ s, HasFDerivWithinAt f (f' y) s y := fun y hy => (hf.hasFDerivWithinAt le_rfl (subset_insert x s hy)).mono (subset_insert x s) have hcont : ContinuousWithinAt f' s x := (continuousMultilinearCurryFin1 ℝ E F).continuousAt.comp_continuousWithinAt ((hf.cont _ le_rfl _ (mem_insert _ _)).mono (subset_insert x s)) replace hK : ‖f' x‖₊ < K := by simpa only [f', LinearIsometryEquiv.nnnorm_map] exact hs.exists_nhdsWithin_lipschitzOnWith_of_hasFDerivWithinAt_of_nnnorm_lt (eventually_nhdsWithin_iff.2 <| eventually_of_forall hder) hcont K hK
0
import Mathlib.RingTheory.Ideal.QuotientOperations import Mathlib.RingTheory.Localization.Basic #align_import ring_theory.localization.ideal from "leanprover-community/mathlib"@"e7f0ddbf65bd7181a85edb74b64bdc35ba4bdc74" namespace IsLocalization section CommRing variable {R : Type*} [CommRing R] (M : Submonoid R) (S : Type*) [CommRing S] variable [Algebra R S] [IsLocalization M S]
Mathlib/RingTheory/Localization/Ideal.lean
171
204
theorem surjective_quotientMap_of_maximal_of_localization {I : Ideal S} [I.IsPrime] {J : Ideal R} {H : J ≤ I.comap (algebraMap R S)} (hI : (I.comap (algebraMap R S)).IsMaximal) : Function.Surjective (Ideal.quotientMap I (algebraMap R S) H) := by
intro s obtain ⟨s, rfl⟩ := Ideal.Quotient.mk_surjective s obtain ⟨r, ⟨m, hm⟩, rfl⟩ := mk'_surjective M s by_cases hM : (Ideal.Quotient.mk (I.comap (algebraMap R S))) m = 0 · have : I = ⊤ := by rw [Ideal.eq_top_iff_one] rw [Ideal.Quotient.eq_zero_iff_mem, Ideal.mem_comap] at hM convert I.mul_mem_right (mk' S (1 : R) ⟨m, hm⟩) hM rw [← mk'_eq_mul_mk'_one, mk'_self] exact ⟨0, eq_comm.1 (by simp [Ideal.Quotient.eq_zero_iff_mem, this])⟩ · rw [Ideal.Quotient.maximal_ideal_iff_isField_quotient] at hI obtain ⟨n, hn⟩ := hI.3 hM obtain ⟨rn, rfl⟩ := Ideal.Quotient.mk_surjective n refine ⟨(Ideal.Quotient.mk J) (r * rn), ?_⟩ -- The rest of the proof is essentially just algebraic manipulations to prove the equality replace hn := congr_arg (Ideal.quotientMap I (algebraMap R S) le_rfl) hn rw [RingHom.map_one, RingHom.map_mul] at hn rw [Ideal.quotientMap_mk, ← sub_eq_zero, ← RingHom.map_sub, Ideal.Quotient.eq_zero_iff_mem, ← Ideal.Quotient.eq_zero_iff_mem, RingHom.map_sub, sub_eq_zero, mk'_eq_mul_mk'_one] simp only [mul_eq_mul_left_iff, RingHom.map_mul] refine Or.inl (mul_left_cancel₀ (M₀ := S ⧸ I) (fun hn => hM (Ideal.Quotient.eq_zero_iff_mem.2 (Ideal.mem_comap.2 (Ideal.Quotient.eq_zero_iff_mem.1 hn)))) (_root_.trans hn ?_)) -- Porting note (#10691): was `rw`, but this took extremely long. refine Eq.trans ?_ (RingHom.map_mul (Ideal.Quotient.mk I) (algebraMap R S m) (mk' S 1 ⟨m, hm⟩)) rw [← mk'_eq_mul_mk'_one, mk'_self, RingHom.map_one]
0
import Mathlib.Algebra.GroupWithZero.NonZeroDivisors import Mathlib.Algebra.Polynomial.Lifts import Mathlib.GroupTheory.MonoidLocalization import Mathlib.RingTheory.Algebraic import Mathlib.RingTheory.Ideal.LocalRing import Mathlib.RingTheory.IntegralClosure import Mathlib.RingTheory.Localization.FractionRing import Mathlib.RingTheory.Localization.Integer #align_import ring_theory.localization.integral from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86" variable {R : Type*} [CommRing R] (M : Submonoid R) {S : Type*} [CommRing S] variable [Algebra R S] {P : Type*} [CommRing P] open Polynomial namespace IsLocalization section IntegerNormalization open Polynomial variable [IsLocalization M S] open scoped Classical noncomputable def coeffIntegerNormalization (p : S[X]) (i : ℕ) : R := if hi : i ∈ p.support then Classical.choose (Classical.choose_spec (exist_integer_multiples_of_finset M (p.support.image p.coeff)) (p.coeff i) (Finset.mem_image.mpr ⟨i, hi, rfl⟩)) else 0 #align is_localization.coeff_integer_normalization IsLocalization.coeffIntegerNormalization theorem coeffIntegerNormalization_of_not_mem_support (p : S[X]) (i : ℕ) (h : coeff p i = 0) : coeffIntegerNormalization M p i = 0 := by simp only [coeffIntegerNormalization, h, mem_support_iff, eq_self_iff_true, not_true, Ne, dif_neg, not_false_iff] #align is_localization.coeff_integer_normalization_of_not_mem_support IsLocalization.coeffIntegerNormalization_of_not_mem_support theorem coeffIntegerNormalization_mem_support (p : S[X]) (i : ℕ) (h : coeffIntegerNormalization M p i ≠ 0) : i ∈ p.support := by contrapose h rw [Ne, Classical.not_not, coeffIntegerNormalization, dif_neg h] #align is_localization.coeff_integer_normalization_mem_support IsLocalization.coeffIntegerNormalization_mem_support noncomputable def integerNormalization (p : S[X]) : R[X] := ∑ i ∈ p.support, monomial i (coeffIntegerNormalization M p i) #align is_localization.integer_normalization IsLocalization.integerNormalization @[simp] theorem integerNormalization_coeff (p : S[X]) (i : ℕ) : (integerNormalization M p).coeff i = coeffIntegerNormalization M p i := by simp (config := { contextual := true }) [integerNormalization, coeff_monomial, coeffIntegerNormalization_of_not_mem_support] #align is_localization.integer_normalization_coeff IsLocalization.integerNormalization_coeff
Mathlib/RingTheory/Localization/Integral.lean
80
90
theorem integerNormalization_spec (p : S[X]) : ∃ b : M, ∀ i, algebraMap R S ((integerNormalization M p).coeff i) = (b : R) • p.coeff i := by
use Classical.choose (exist_integer_multiples_of_finset M (p.support.image p.coeff)) intro i rw [integerNormalization_coeff, coeffIntegerNormalization] split_ifs with hi · exact Classical.choose_spec (Classical.choose_spec (exist_integer_multiples_of_finset M (p.support.image p.coeff)) (p.coeff i) (Finset.mem_image.mpr ⟨i, hi, rfl⟩)) · rw [RingHom.map_zero, not_mem_support_iff.mp hi, smul_zero]
0
import Mathlib.Analysis.BoxIntegral.DivergenceTheorem import Mathlib.Analysis.BoxIntegral.Integrability import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Integral.IntervalIntegral import Mathlib.Analysis.Calculus.FDeriv.Equiv #align_import measure_theory.integral.divergence_theorem from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open Set Finset TopologicalSpace Function BoxIntegral MeasureTheory Filter open scoped Classical Topology Interval universe u namespace MeasureTheory variable {E : Type u} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] section variable {n : ℕ} local macro:arg t:term:max noWs "ⁿ" : term => `(Fin n → $t) local macro:arg t:term:max noWs "ⁿ⁺¹" : term => `(Fin (n + 1) → $t) local notation "e " i => Pi.single i 1 section theorem integral_divergence_of_hasFDerivWithinAt_off_countable_aux₁ (I : Box (Fin (n + 1))) (f : ℝⁿ⁺¹ → Eⁿ⁺¹) (f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹) (s : Set ℝⁿ⁺¹) (hs : s.Countable) (Hc : ContinuousOn f (Box.Icc I)) (Hd : ∀ x ∈ (Box.Icc I) \ s, HasFDerivWithinAt f (f' x) (Box.Icc I) x) (Hi : IntegrableOn (fun x => ∑ i, f' x (e i) i) (Box.Icc I)) : (∫ x in Box.Icc I, ∑ i, f' x (e i) i) = ∑ i : Fin (n + 1), ((∫ x in Box.Icc (I.face i), f (i.insertNth (I.upper i) x) i) - ∫ x in Box.Icc (I.face i), f (i.insertNth (I.lower i) x) i) := by simp only [← setIntegral_congr_set_ae (Box.coe_ae_eq_Icc _)] have A := (Hi.mono_set Box.coe_subset_Icc).hasBoxIntegral ⊥ rfl have B := hasIntegral_GP_divergence_of_forall_hasDerivWithinAt I f f' (s ∩ Box.Icc I) (hs.mono inter_subset_left) (fun x hx => Hc _ hx.2) fun x hx => Hd _ ⟨hx.1, fun h => hx.2 ⟨h, hx.1⟩⟩ rw [continuousOn_pi] at Hc refine (A.unique B).trans (sum_congr rfl fun i _ => ?_) refine congr_arg₂ Sub.sub ?_ ?_ · have := Box.continuousOn_face_Icc (Hc i) (Set.right_mem_Icc.2 (I.lower_le_upper i)) have := (this.integrableOn_compact (μ := volume) (Box.isCompact_Icc _)).mono_set Box.coe_subset_Icc exact (this.hasBoxIntegral ⊥ rfl).integral_eq · have := Box.continuousOn_face_Icc (Hc i) (Set.left_mem_Icc.2 (I.lower_le_upper i)) have := (this.integrableOn_compact (μ := volume) (Box.isCompact_Icc _)).mono_set Box.coe_subset_Icc exact (this.hasBoxIntegral ⊥ rfl).integral_eq #align measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable_aux₁ MeasureTheory.integral_divergence_of_hasFDerivWithinAt_off_countable_aux₁
Mathlib/MeasureTheory/Integral/DivergenceTheorem.lean
143
245
theorem integral_divergence_of_hasFDerivWithinAt_off_countable_aux₂ (I : Box (Fin (n + 1))) (f : ℝⁿ⁺¹ → Eⁿ⁺¹) (f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹) (s : Set ℝⁿ⁺¹) (hs : s.Countable) (Hc : ContinuousOn f (Box.Icc I)) (Hd : ∀ x ∈ Box.Ioo I \ s, HasFDerivAt f (f' x) x) (Hi : IntegrableOn (∑ i, f' · (e i) i) (Box.Icc I)) : (∫ x in Box.Icc I, ∑ i, f' x (e i) i) = ∑ i : Fin (n + 1), ((∫ x in Box.Icc (I.face i), f (i.insertNth (I.upper i) x) i) - ∫ x in Box.Icc (I.face i), f (i.insertNth (I.lower i) x) i) := by
/- Choose a monotone sequence `J k` of subboxes that cover the interior of `I` and prove that these boxes satisfy the assumptions of the previous lemma. -/ rcases I.exists_seq_mono_tendsto with ⟨J, hJ_sub, hJl, hJu⟩ have hJ_sub' : ∀ k, Box.Icc (J k) ⊆ Box.Icc I := fun k => (hJ_sub k).trans I.Ioo_subset_Icc have hJ_le : ∀ k, J k ≤ I := fun k => Box.le_iff_Icc.2 (hJ_sub' k) have HcJ : ∀ k, ContinuousOn f (Box.Icc (J k)) := fun k => Hc.mono (hJ_sub' k) have HdJ : ∀ (k), ∀ x ∈ (Box.Icc (J k)) \ s, HasFDerivWithinAt f (f' x) (Box.Icc (J k)) x := fun k x hx => (Hd x ⟨hJ_sub k hx.1, hx.2⟩).hasFDerivWithinAt have HiJ : ∀ k, IntegrableOn (∑ i, f' · (e i) i) (Box.Icc (J k)) volume := fun k => Hi.mono_set (hJ_sub' k) -- Apply the previous lemma to `J k`. have HJ_eq := fun k => integral_divergence_of_hasFDerivWithinAt_off_countable_aux₁ (J k) f f' s hs (HcJ k) (HdJ k) (HiJ k) -- Note that the LHS of `HJ_eq k` tends to the LHS of the goal as `k → ∞`. have hI_tendsto : Tendsto (fun k => ∫ x in Box.Icc (J k), ∑ i, f' x (e i) i) atTop (𝓝 (∫ x in Box.Icc I, ∑ i, f' x (e i) i)) := by simp only [IntegrableOn, ← Measure.restrict_congr_set (Box.Ioo_ae_eq_Icc _)] at Hi ⊢ rw [← Box.iUnion_Ioo_of_tendsto J.monotone hJl hJu] at Hi ⊢ exact tendsto_setIntegral_of_monotone (fun k => (J k).measurableSet_Ioo) (Box.Ioo.comp J).monotone Hi -- Thus it suffices to prove the same about the RHS. refine tendsto_nhds_unique_of_eventuallyEq hI_tendsto ?_ (eventually_of_forall HJ_eq) clear hI_tendsto rw [tendsto_pi_nhds] at hJl hJu /- We'll need to prove a similar statement about the integrals over the front sides and the integrals over the back sides. In order to avoid repeating ourselves, we formulate a lemma. -/ suffices ∀ (i : Fin (n + 1)) (c : ℕ → ℝ) (d), (∀ k, c k ∈ Icc (I.lower i) (I.upper i)) → Tendsto c atTop (𝓝 d) → Tendsto (fun k => ∫ x in Box.Icc ((J k).face i), f (i.insertNth (c k) x) i) atTop (𝓝 <| ∫ x in Box.Icc (I.face i), f (i.insertNth d x) i) by rw [Box.Icc_eq_pi] at hJ_sub' refine tendsto_finset_sum _ fun i _ => (this _ _ _ ?_ (hJu _)).sub (this _ _ _ ?_ (hJl _)) exacts [fun k => hJ_sub' k (J k).upper_mem_Icc _ trivial, fun k => hJ_sub' k (J k).lower_mem_Icc _ trivial] intro i c d hc hcd /- First we prove that the integrals of the restriction of `f` to `{x | x i = d}` over increasing boxes `((J k).face i).Icc` tend to the desired limit. The proof mostly repeats the one above. -/ have hd : d ∈ Icc (I.lower i) (I.upper i) := isClosed_Icc.mem_of_tendsto hcd (eventually_of_forall hc) have Hic : ∀ k, IntegrableOn (fun x => f (i.insertNth (c k) x) i) (Box.Icc (I.face i)) := fun k => (Box.continuousOn_face_Icc ((continuous_apply i).comp_continuousOn Hc) (hc k)).integrableOn_Icc have Hid : IntegrableOn (fun x => f (i.insertNth d x) i) (Box.Icc (I.face i)) := (Box.continuousOn_face_Icc ((continuous_apply i).comp_continuousOn Hc) hd).integrableOn_Icc have H : Tendsto (fun k => ∫ x in Box.Icc ((J k).face i), f (i.insertNth d x) i) atTop (𝓝 <| ∫ x in Box.Icc (I.face i), f (i.insertNth d x) i) := by have hIoo : (⋃ k, Box.Ioo ((J k).face i)) = Box.Ioo (I.face i) := Box.iUnion_Ioo_of_tendsto ((Box.monotone_face i).comp J.monotone) (tendsto_pi_nhds.2 fun _ => hJl _) (tendsto_pi_nhds.2 fun _ => hJu _) simp only [IntegrableOn, ← Measure.restrict_congr_set (Box.Ioo_ae_eq_Icc _), ← hIoo] at Hid ⊢ exact tendsto_setIntegral_of_monotone (fun k => ((J k).face i).measurableSet_Ioo) (Box.Ioo.monotone.comp ((Box.monotone_face i).comp J.monotone)) Hid /- Thus it suffices to show that the distance between the integrals of the restrictions of `f` to `{x | x i = c k}` and `{x | x i = d}` over `((J k).face i).Icc` tends to zero as `k → ∞`. Choose `ε > 0`. -/ refine H.congr_dist (Metric.nhds_basis_closedBall.tendsto_right_iff.2 fun ε εpos => ?_) have hvol_pos : ∀ J : Box (Fin n), 0 < ∏ j, (J.upper j - J.lower j) := fun J => prod_pos fun j hj => sub_pos.2 <| J.lower_lt_upper _ /- Choose `δ > 0` such that for any `x y ∈ I.Icc` at distance at most `δ`, the distance between `f x` and `f y` is at most `ε / volume (I.face i).Icc`, then the distance between the integrals is at most `(ε / volume (I.face i).Icc) * volume ((J k).face i).Icc ≤ ε`. -/ rcases Metric.uniformContinuousOn_iff_le.1 (I.isCompact_Icc.uniformContinuousOn_of_continuous Hc) (ε / ∏ j, ((I.face i).upper j - (I.face i).lower j)) (div_pos εpos (hvol_pos (I.face i))) with ⟨δ, δpos, hδ⟩ refine (hcd.eventually (Metric.ball_mem_nhds _ δpos)).mono fun k hk => ?_ have Hsub : Box.Icc ((J k).face i) ⊆ Box.Icc (I.face i) := Box.le_iff_Icc.1 (Box.face_mono (hJ_le _) i) rw [mem_closedBall_zero_iff, Real.norm_eq_abs, abs_of_nonneg dist_nonneg, dist_eq_norm, ← integral_sub (Hid.mono_set Hsub) ((Hic _).mono_set Hsub)] calc ‖∫ x in Box.Icc ((J k).face i), f (i.insertNth d x) i - f (i.insertNth (c k) x) i‖ ≤ (ε / ∏ j, ((I.face i).upper j - (I.face i).lower j)) * (volume (Box.Icc ((J k).face i))).toReal := by refine norm_setIntegral_le_of_norm_le_const' (((J k).face i).measure_Icc_lt_top _) ((J k).face i).measurableSet_Icc fun x hx => ?_ rw [← dist_eq_norm] calc dist (f (i.insertNth d x) i) (f (i.insertNth (c k) x) i) ≤ dist (f (i.insertNth d x)) (f (i.insertNth (c k) x)) := dist_le_pi_dist (f (i.insertNth d x)) (f (i.insertNth (c k) x)) i _ ≤ ε / ∏ j, ((I.face i).upper j - (I.face i).lower j) := hδ _ (I.mapsTo_insertNth_face_Icc hd <| Hsub hx) _ (I.mapsTo_insertNth_face_Icc (hc _) <| Hsub hx) ?_ rw [Fin.dist_insertNth_insertNth, dist_self, dist_comm] exact max_le hk.le δpos.lt.le _ ≤ ε := by rw [Box.Icc_def, Real.volume_Icc_pi_toReal ((J k).face i).lower_le_upper, ← le_div_iff (hvol_pos _)] gcongr exacts [hvol_pos _, fun _ _ ↦ sub_nonneg.2 (Box.lower_le_upper _ _), (hJ_sub' _ (J _).upper_mem_Icc).2 _, (hJ_sub' _ (J _).lower_mem_Icc).1 _]
0
import Mathlib.MeasureTheory.Integral.SetIntegral import Mathlib.Probability.Independence.Basic #align_import probability.integration from "leanprover-community/mathlib"@"2f8347015b12b0864dfaf366ec4909eb70c78740" noncomputable section open Set MeasureTheory open scoped ENNReal MeasureTheory variable {Ω : Type*} {mΩ : MeasurableSpace Ω} {μ : Measure Ω} {f g : Ω → ℝ≥0∞} {X Y : Ω → ℝ} namespace ProbabilityTheory
Mathlib/Probability/Integration.lean
45
73
theorem lintegral_mul_indicator_eq_lintegral_mul_lintegral_indicator {Mf mΩ : MeasurableSpace Ω} {μ : Measure Ω} (hMf : Mf ≤ mΩ) (c : ℝ≥0∞) {T : Set Ω} (h_meas_T : MeasurableSet T) (h_ind : IndepSets {s | MeasurableSet[Mf] s} {T} μ) (h_meas_f : Measurable[Mf] f) : (∫⁻ ω, f ω * T.indicator (fun _ => c) ω ∂μ) = (∫⁻ ω, f ω ∂μ) * ∫⁻ ω, T.indicator (fun _ => c) ω ∂μ := by
revert f have h_mul_indicator : ∀ g, Measurable g → Measurable fun a => g a * T.indicator (fun _ => c) a := fun g h_mg => h_mg.mul (measurable_const.indicator h_meas_T) apply @Measurable.ennreal_induction _ Mf · intro c' s' h_meas_s' simp_rw [← inter_indicator_mul] rw [lintegral_indicator _ (MeasurableSet.inter (hMf _ h_meas_s') h_meas_T), lintegral_indicator _ (hMf _ h_meas_s'), lintegral_indicator _ h_meas_T] simp only [measurable_const, lintegral_const, univ_inter, lintegral_const_mul, MeasurableSet.univ, Measure.restrict_apply] rw [IndepSets_iff] at h_ind rw [mul_mul_mul_comm, h_ind s' T h_meas_s' (Set.mem_singleton _)] · intro f' g _ h_meas_f' _ h_ind_f' h_ind_g have h_measM_f' : Measurable f' := h_meas_f'.mono hMf le_rfl simp_rw [Pi.add_apply, right_distrib] rw [lintegral_add_left (h_mul_indicator _ h_measM_f'), lintegral_add_left h_measM_f', right_distrib, h_ind_f', h_ind_g] · intro f h_meas_f h_mono_f h_ind_f have h_measM_f : ∀ n, Measurable (f n) := fun n => (h_meas_f n).mono hMf le_rfl simp_rw [ENNReal.iSup_mul] rw [lintegral_iSup h_measM_f h_mono_f, lintegral_iSup, ENNReal.iSup_mul] · simp_rw [← h_ind_f] · exact fun n => h_mul_indicator _ (h_measM_f n) · exact fun m n h_le a => mul_le_mul_right' (h_mono_f h_le a) _
0
import Mathlib.Algebra.Algebra.Subalgebra.Pointwise import Mathlib.AlgebraicGeometry.PrimeSpectrum.Maximal import Mathlib.AlgebraicGeometry.PrimeSpectrum.Noetherian import Mathlib.RingTheory.ChainOfDivisors import Mathlib.RingTheory.DedekindDomain.Basic import Mathlib.RingTheory.FractionalIdeal.Operations #align_import ring_theory.dedekind_domain.ideal from "leanprover-community/mathlib"@"2bbc7e3884ba234309d2a43b19144105a753292e" variable (R A K : Type*) [CommRing R] [CommRing A] [Field K] open scoped nonZeroDivisors Polynomial section Inverse namespace FractionalIdeal variable {R₁ : Type*} [CommRing R₁] [IsDomain R₁] [Algebra R₁ K] [IsFractionRing R₁ K] variable {I J : FractionalIdeal R₁⁰ K} noncomputable instance : Inv (FractionalIdeal R₁⁰ K) := ⟨fun I => 1 / I⟩ theorem inv_eq : I⁻¹ = 1 / I := rfl #align fractional_ideal.inv_eq FractionalIdeal.inv_eq theorem inv_zero' : (0 : FractionalIdeal R₁⁰ K)⁻¹ = 0 := div_zero #align fractional_ideal.inv_zero' FractionalIdeal.inv_zero' theorem inv_nonzero {J : FractionalIdeal R₁⁰ K} (h : J ≠ 0) : J⁻¹ = ⟨(1 : FractionalIdeal R₁⁰ K) / J, fractional_div_of_nonzero h⟩ := div_nonzero h #align fractional_ideal.inv_nonzero FractionalIdeal.inv_nonzero theorem coe_inv_of_nonzero {J : FractionalIdeal R₁⁰ K} (h : J ≠ 0) : (↑J⁻¹ : Submodule R₁ K) = IsLocalization.coeSubmodule K ⊤ / (J : Submodule R₁ K) := by simp_rw [inv_nonzero _ h, coe_one, coe_mk, IsLocalization.coeSubmodule_top] #align fractional_ideal.coe_inv_of_nonzero FractionalIdeal.coe_inv_of_nonzero variable {K} theorem mem_inv_iff (hI : I ≠ 0) {x : K} : x ∈ I⁻¹ ↔ ∀ y ∈ I, x * y ∈ (1 : FractionalIdeal R₁⁰ K) := mem_div_iff_of_nonzero hI #align fractional_ideal.mem_inv_iff FractionalIdeal.mem_inv_iff
Mathlib/RingTheory/DedekindDomain/Ideal.lean
87
92
theorem inv_anti_mono (hI : I ≠ 0) (hJ : J ≠ 0) (hIJ : I ≤ J) : J⁻¹ ≤ I⁻¹ := by
-- Porting note: in Lean3, introducing `x` would just give `x ∈ J⁻¹ → x ∈ I⁻¹`, but -- in Lean4, it goes all the way down to the subtypes intro x simp only [val_eq_coe, mem_coe, mem_inv_iff hJ, mem_inv_iff hI] exact fun h y hy => h y (hIJ hy)
0
import Mathlib.Topology.Separation import Mathlib.Topology.Bases #align_import topology.dense_embedding from "leanprover-community/mathlib"@"148aefbd371a25f1cff33c85f20c661ce3155def" noncomputable section open Set Filter open scoped Topology variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} structure DenseInducing [TopologicalSpace α] [TopologicalSpace β] (i : α → β) extends Inducing i : Prop where protected dense : DenseRange i #align dense_inducing DenseInducing namespace DenseInducing variable [TopologicalSpace α] [TopologicalSpace β] variable {i : α → β} (di : DenseInducing i) theorem nhds_eq_comap (di : DenseInducing i) : ∀ a : α, 𝓝 a = comap i (𝓝 <| i a) := di.toInducing.nhds_eq_comap #align dense_inducing.nhds_eq_comap DenseInducing.nhds_eq_comap protected theorem continuous (di : DenseInducing i) : Continuous i := di.toInducing.continuous #align dense_inducing.continuous DenseInducing.continuous theorem closure_range : closure (range i) = univ := di.dense.closure_range #align dense_inducing.closure_range DenseInducing.closure_range protected theorem preconnectedSpace [PreconnectedSpace α] (di : DenseInducing i) : PreconnectedSpace β := di.dense.preconnectedSpace di.continuous #align dense_inducing.preconnected_space DenseInducing.preconnectedSpace theorem closure_image_mem_nhds {s : Set α} {a : α} (di : DenseInducing i) (hs : s ∈ 𝓝 a) : closure (i '' s) ∈ 𝓝 (i a) := by rw [di.nhds_eq_comap a, ((nhds_basis_opens _).comap _).mem_iff] at hs rcases hs with ⟨U, ⟨haU, hUo⟩, sub : i ⁻¹' U ⊆ s⟩ refine mem_of_superset (hUo.mem_nhds haU) ?_ calc U ⊆ closure (i '' (i ⁻¹' U)) := di.dense.subset_closure_image_preimage_of_isOpen hUo _ ⊆ closure (i '' s) := closure_mono (image_subset i sub) #align dense_inducing.closure_image_mem_nhds DenseInducing.closure_image_mem_nhds theorem dense_image (di : DenseInducing i) {s : Set α} : Dense (i '' s) ↔ Dense s := by refine ⟨fun H x => ?_, di.dense.dense_image di.continuous⟩ rw [di.toInducing.closure_eq_preimage_closure_image, H.closure_eq, preimage_univ] trivial #align dense_inducing.dense_image DenseInducing.dense_image theorem interior_compact_eq_empty [T2Space β] (di : DenseInducing i) (hd : Dense (range i)ᶜ) {s : Set α} (hs : IsCompact s) : interior s = ∅ := by refine eq_empty_iff_forall_not_mem.2 fun x hx => ?_ rw [mem_interior_iff_mem_nhds] at hx have := di.closure_image_mem_nhds hx rw [(hs.image di.continuous).isClosed.closure_eq] at this rcases hd.inter_nhds_nonempty this with ⟨y, hyi, hys⟩ exact hyi (image_subset_range _ _ hys) #align dense_inducing.interior_compact_eq_empty DenseInducing.interior_compact_eq_empty protected theorem prod [TopologicalSpace γ] [TopologicalSpace δ] {e₁ : α → β} {e₂ : γ → δ} (de₁ : DenseInducing e₁) (de₂ : DenseInducing e₂) : DenseInducing fun p : α × γ => (e₁ p.1, e₂ p.2) where toInducing := de₁.toInducing.prod_map de₂.toInducing dense := de₁.dense.prod_map de₂.dense #align dense_inducing.prod DenseInducing.prod open TopologicalSpace protected theorem separableSpace [SeparableSpace α] : SeparableSpace β := di.dense.separableSpace di.continuous #align dense_inducing.separable_space DenseInducing.separableSpace variable [TopologicalSpace δ] {f : γ → α} {g : γ → δ} {h : δ → β}
Mathlib/Topology/DenseEmbedding.lean
117
124
theorem tendsto_comap_nhds_nhds {d : δ} {a : α} (di : DenseInducing i) (H : Tendsto h (𝓝 d) (𝓝 (i a))) (comm : h ∘ g = i ∘ f) : Tendsto f (comap g (𝓝 d)) (𝓝 a) := by
have lim1 : map g (comap g (𝓝 d)) ≤ 𝓝 d := map_comap_le replace lim1 : map h (map g (comap g (𝓝 d))) ≤ map h (𝓝 d) := map_mono lim1 rw [Filter.map_map, comm, ← Filter.map_map, map_le_iff_le_comap] at lim1 have lim2 : comap i (map h (𝓝 d)) ≤ comap i (𝓝 (i a)) := comap_mono H rw [← di.nhds_eq_comap] at lim2 exact le_trans lim1 lim2
0
import Mathlib.ModelTheory.Syntax import Mathlib.ModelTheory.Semantics import Mathlib.Algebra.Ring.Equiv variable {α : Type*} namespace FirstOrder open FirstOrder inductive ringFunc : ℕ → Type | add : ringFunc 2 | mul : ringFunc 2 | neg : ringFunc 1 | zero : ringFunc 0 | one : ringFunc 0 deriving DecidableEq def Language.ring : Language := { Functions := ringFunc Relations := fun _ => Empty } namespace Ring open ringFunc Language instance (n : ℕ) : DecidableEq (Language.ring.Functions n) := by dsimp [Language.ring]; infer_instance instance (n : ℕ) : DecidableEq (Language.ring.Relations n) := by dsimp [Language.ring]; infer_instance abbrev addFunc : Language.ring.Functions 2 := add abbrev mulFunc : Language.ring.Functions 2 := mul abbrev negFunc : Language.ring.Functions 1 := neg abbrev zeroFunc : Language.ring.Functions 0 := zero abbrev oneFunc : Language.ring.Functions 0 := one instance (α : Type*) : Zero (Language.ring.Term α) := { zero := Constants.term zeroFunc } theorem zero_def (α : Type*) : (0 : Language.ring.Term α) = Constants.term zeroFunc := rfl instance (α : Type*) : One (Language.ring.Term α) := { one := Constants.term oneFunc } theorem one_def (α : Type*) : (1 : Language.ring.Term α) = Constants.term oneFunc := rfl instance (α : Type*) : Add (Language.ring.Term α) := { add := addFunc.apply₂ } theorem add_def (α : Type*) (t₁ t₂ : Language.ring.Term α) : t₁ + t₂ = addFunc.apply₂ t₁ t₂ := rfl instance (α : Type*) : Mul (Language.ring.Term α) := { mul := mulFunc.apply₂ } theorem mul_def (α : Type*) (t₁ t₂ : Language.ring.Term α) : t₁ * t₂ = mulFunc.apply₂ t₁ t₂ := rfl instance (α : Type*) : Neg (Language.ring.Term α) := { neg := negFunc.apply₁ } theorem neg_def (α : Type*) (t : Language.ring.Term α) : -t = negFunc.apply₁ t := rfl instance : Fintype Language.ring.Symbols := ⟨⟨Multiset.ofList [Sum.inl ⟨2, .add⟩, Sum.inl ⟨2, .mul⟩, Sum.inl ⟨1, .neg⟩, Sum.inl ⟨0, .zero⟩, Sum.inl ⟨0, .one⟩], by dsimp [Language.Symbols]; decide⟩, by intro x dsimp [Language.Symbols] rcases x with ⟨_, f⟩ | ⟨_, f⟩ · cases f <;> decide · cases f ⟩ @[simp]
Mathlib/ModelTheory/Algebra/Ring/Basic.lean
138
140
theorem card_ring : card Language.ring = 5 := by
have : Fintype.card Language.ring.Symbols = 5 := rfl simp [Language.card, this]
0
import Mathlib.LinearAlgebra.Span import Mathlib.RingTheory.Ideal.IsPrimary import Mathlib.RingTheory.Ideal.QuotientOperations import Mathlib.RingTheory.Noetherian #align_import ring_theory.ideal.associated_prime from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" variable {R : Type*} [CommRing R] (I J : Ideal R) (M : Type*) [AddCommGroup M] [Module R M] def IsAssociatedPrime : Prop := I.IsPrime ∧ ∃ x : M, I = (R ∙ x).annihilator #align is_associated_prime IsAssociatedPrime variable (R) def associatedPrimes : Set (Ideal R) := { I | IsAssociatedPrime I M } #align associated_primes associatedPrimes variable {I J M R} variable {M' : Type*} [AddCommGroup M'] [Module R M'] (f : M →ₗ[R] M') theorem AssociatePrimes.mem_iff : I ∈ associatedPrimes R M ↔ IsAssociatedPrime I M := Iff.rfl #align associate_primes.mem_iff AssociatePrimes.mem_iff theorem IsAssociatedPrime.isPrime (h : IsAssociatedPrime I M) : I.IsPrime := h.1 #align is_associated_prime.is_prime IsAssociatedPrime.isPrime theorem IsAssociatedPrime.map_of_injective (h : IsAssociatedPrime I M) (hf : Function.Injective f) : IsAssociatedPrime I M' := by obtain ⟨x, rfl⟩ := h.2 refine ⟨h.1, ⟨f x, ?_⟩⟩ ext r rw [Submodule.mem_annihilator_span_singleton, Submodule.mem_annihilator_span_singleton, ← map_smul, ← f.map_zero, hf.eq_iff] #align is_associated_prime.map_of_injective IsAssociatedPrime.map_of_injective theorem LinearEquiv.isAssociatedPrime_iff (l : M ≃ₗ[R] M') : IsAssociatedPrime I M ↔ IsAssociatedPrime I M' := ⟨fun h => h.map_of_injective l l.injective, fun h => h.map_of_injective l.symm l.symm.injective⟩ #align linear_equiv.is_associated_prime_iff LinearEquiv.isAssociatedPrime_iff theorem not_isAssociatedPrime_of_subsingleton [Subsingleton M] : ¬IsAssociatedPrime I M := by rintro ⟨hI, x, hx⟩ apply hI.ne_top rwa [Subsingleton.elim x 0, Submodule.span_singleton_eq_bot.mpr rfl, Submodule.annihilator_bot] at hx #align not_is_associated_prime_of_subsingleton not_isAssociatedPrime_of_subsingleton variable (R)
Mathlib/RingTheory/Ideal/AssociatedPrime.lean
83
103
theorem exists_le_isAssociatedPrime_of_isNoetherianRing [H : IsNoetherianRing R] (x : M) (hx : x ≠ 0) : ∃ P : Ideal R, IsAssociatedPrime P M ∧ (R ∙ x).annihilator ≤ P := by
have : (R ∙ x).annihilator ≠ ⊤ := by rwa [Ne, Ideal.eq_top_iff_one, Submodule.mem_annihilator_span_singleton, one_smul] obtain ⟨P, ⟨l, h₁, y, rfl⟩, h₃⟩ := set_has_maximal_iff_noetherian.mpr H { P | (R ∙ x).annihilator ≤ P ∧ P ≠ ⊤ ∧ ∃ y : M, P = (R ∙ y).annihilator } ⟨(R ∙ x).annihilator, rfl.le, this, x, rfl⟩ refine ⟨_, ⟨⟨h₁, ?_⟩, y, rfl⟩, l⟩ intro a b hab rw [or_iff_not_imp_left] intro ha rw [Submodule.mem_annihilator_span_singleton] at ha hab have H₁ : (R ∙ y).annihilator ≤ (R ∙ a • y).annihilator := by intro c hc rw [Submodule.mem_annihilator_span_singleton] at hc ⊢ rw [smul_comm, hc, smul_zero] have H₂ : (Submodule.span R {a • y}).annihilator ≠ ⊤ := by rwa [Ne, Submodule.annihilator_eq_top_iff, Submodule.span_singleton_eq_bot] rwa [H₁.eq_of_not_lt (h₃ (R ∙ a • y).annihilator ⟨l.trans H₁, H₂, _, rfl⟩), Submodule.mem_annihilator_span_singleton, smul_comm, smul_smul]
0
import Mathlib.Analysis.Calculus.FDeriv.Prod import Mathlib.Analysis.Calculus.InverseFunctionTheorem.FDeriv import Mathlib.LinearAlgebra.Dual #align_import analysis.calculus.lagrange_multipliers from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Set open scoped Topology Filter variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] {f : E → F} {φ : E → ℝ} {x₀ : E} {f' : E →L[ℝ] F} {φ' : E →L[ℝ] ℝ} theorem IsLocalExtrOn.range_ne_top_of_hasStrictFDerivAt (hextr : IsLocalExtrOn φ {x | f x = f x₀} x₀) (hf' : HasStrictFDerivAt f f' x₀) (hφ' : HasStrictFDerivAt φ φ' x₀) : LinearMap.range (f'.prod φ') ≠ ⊤ := by intro htop set fφ := fun x => (f x, φ x) have A : map φ (𝓝[f ⁻¹' {f x₀}] x₀) = 𝓝 (φ x₀) := by change map (Prod.snd ∘ fφ) (𝓝[fφ ⁻¹' {p | p.1 = f x₀}] x₀) = 𝓝 (φ x₀) rw [← map_map, nhdsWithin, map_inf_principal_preimage, (hf'.prod hφ').map_nhds_eq_of_surj htop] exact map_snd_nhdsWithin _ exact hextr.not_nhds_le_map A.ge #align is_local_extr_on.range_ne_top_of_has_strict_fderiv_at IsLocalExtrOn.range_ne_top_of_hasStrictFDerivAt theorem IsLocalExtrOn.exists_linear_map_of_hasStrictFDerivAt (hextr : IsLocalExtrOn φ {x | f x = f x₀} x₀) (hf' : HasStrictFDerivAt f f' x₀) (hφ' : HasStrictFDerivAt φ φ' x₀) : ∃ (Λ : Module.Dual ℝ F) (Λ₀ : ℝ), (Λ, Λ₀) ≠ 0 ∧ ∀ x, Λ (f' x) + Λ₀ • φ' x = 0 := by rcases Submodule.exists_le_ker_of_lt_top _ (lt_top_iff_ne_top.2 <| hextr.range_ne_top_of_hasStrictFDerivAt hf' hφ') with ⟨Λ', h0, hΛ'⟩ set e : ((F →ₗ[ℝ] ℝ) × ℝ) ≃ₗ[ℝ] F × ℝ →ₗ[ℝ] ℝ := ((LinearEquiv.refl ℝ (F →ₗ[ℝ] ℝ)).prod (LinearMap.ringLmapEquivSelf ℝ ℝ ℝ).symm).trans (LinearMap.coprodEquiv ℝ) rcases e.surjective Λ' with ⟨⟨Λ, Λ₀⟩, rfl⟩ refine ⟨Λ, Λ₀, e.map_ne_zero_iff.1 h0, fun x => ?_⟩ convert LinearMap.congr_fun (LinearMap.range_le_ker_iff.1 hΛ') x using 1 -- squeezed `simp [mul_comm]` to speed up elaboration simp only [e, smul_eq_mul, LinearEquiv.trans_apply, LinearEquiv.prod_apply, LinearEquiv.refl_apply, LinearMap.ringLmapEquivSelf_symm_apply, LinearMap.coprodEquiv_apply, ContinuousLinearMap.coe_prod, LinearMap.coprod_comp_prod, LinearMap.add_apply, LinearMap.coe_comp, ContinuousLinearMap.coe_coe, Function.comp_apply, LinearMap.coe_smulRight, LinearMap.one_apply, mul_comm] #align is_local_extr_on.exists_linear_map_of_has_strict_fderiv_at IsLocalExtrOn.exists_linear_map_of_hasStrictFDerivAt theorem IsLocalExtrOn.exists_multipliers_of_hasStrictFDerivAt_1d {f : E → ℝ} {f' : E →L[ℝ] ℝ} (hextr : IsLocalExtrOn φ {x | f x = f x₀} x₀) (hf' : HasStrictFDerivAt f f' x₀) (hφ' : HasStrictFDerivAt φ φ' x₀) : ∃ a b : ℝ, (a, b) ≠ 0 ∧ a • f' + b • φ' = 0 := by obtain ⟨Λ, Λ₀, hΛ, hfΛ⟩ := hextr.exists_linear_map_of_hasStrictFDerivAt hf' hφ' refine ⟨Λ 1, Λ₀, ?_, ?_⟩ · contrapose! hΛ simp only [Prod.mk_eq_zero] at hΛ ⊢ refine ⟨LinearMap.ext fun x => ?_, hΛ.2⟩ simpa [hΛ.1] using Λ.map_smul x 1 · ext x have H₁ : Λ (f' x) = f' x * Λ 1 := by simpa only [mul_one, Algebra.id.smul_eq_mul] using Λ.map_smul (f' x) 1 have H₂ : f' x * Λ 1 + Λ₀ * φ' x = 0 := by simpa only [Algebra.id.smul_eq_mul, H₁] using hfΛ x simpa [mul_comm] using H₂ #align is_local_extr_on.exists_multipliers_of_has_strict_fderiv_at_1d IsLocalExtrOn.exists_multipliers_of_hasStrictFDerivAt_1d
Mathlib/Analysis/Calculus/LagrangeMultipliers.lean
108
121
theorem IsLocalExtrOn.exists_multipliers_of_hasStrictFDerivAt {ι : Type*} [Fintype ι] {f : ι → E → ℝ} {f' : ι → E →L[ℝ] ℝ} (hextr : IsLocalExtrOn φ {x | ∀ i, f i x = f i x₀} x₀) (hf' : ∀ i, HasStrictFDerivAt (f i) (f' i) x₀) (hφ' : HasStrictFDerivAt φ φ' x₀) : ∃ (Λ : ι → ℝ) (Λ₀ : ℝ), (Λ, Λ₀) ≠ 0 ∧ (∑ i, Λ i • f' i) + Λ₀ • φ' = 0 := by
letI := Classical.decEq ι replace hextr : IsLocalExtrOn φ {x | (fun i => f i x) = fun i => f i x₀} x₀ := by simpa only [Function.funext_iff] using hextr rcases hextr.exists_linear_map_of_hasStrictFDerivAt (hasStrictFDerivAt_pi.2 fun i => hf' i) hφ' with ⟨Λ, Λ₀, h0, hsum⟩ rcases (LinearEquiv.piRing ℝ ℝ ι ℝ).symm.surjective Λ with ⟨Λ, rfl⟩ refine ⟨Λ, Λ₀, ?_, ?_⟩ · simpa only [Ne, Prod.ext_iff, LinearEquiv.map_eq_zero_iff, Prod.fst_zero] using h0 · ext x; simpa [mul_comm] using hsum x
0
import Mathlib.Order.Monotone.Odd import Mathlib.Analysis.SpecialFunctions.ExpDeriv import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic #align_import analysis.special_functions.trigonometric.deriv from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" noncomputable section open scoped Classical Topology Filter open Set Filter namespace Complex
Mathlib/Analysis/SpecialFunctions/Trigonometric/Deriv.lean
35
41
theorem hasStrictDerivAt_sin (x : ℂ) : HasStrictDerivAt sin (cos x) x := by
simp only [cos, div_eq_mul_inv] convert ((((hasStrictDerivAt_id x).neg.mul_const I).cexp.sub ((hasStrictDerivAt_id x).mul_const I).cexp).mul_const I).mul_const (2 : ℂ)⁻¹ using 1 simp only [Function.comp, id] rw [sub_mul, mul_assoc, mul_assoc, I_mul_I, neg_one_mul, neg_neg, mul_one, one_mul, mul_assoc, I_mul_I, mul_neg_one, sub_neg_eq_add, add_comm]
0
import Mathlib.CategoryTheory.Limits.Shapes.Biproducts import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Zero #align_import category_theory.limits.preserves.shapes.biproducts from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe w₁ w₂ v₁ v₂ u₁ u₂ noncomputable section open CategoryTheory open CategoryTheory.Limits namespace CategoryTheory variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] section HasZeroMorphisms variable [HasZeroMorphisms C] [HasZeroMorphisms D] namespace Functor section Map variable (F : C ⥤ D) [PreservesZeroMorphisms F] variable (F : C ⥤ D) (X Y : C) [HasBinaryBiproduct X Y] section variable [HasBinaryBiproduct (F.obj X) (F.obj Y)] def biprodComparison : F.obj (X ⊞ Y) ⟶ F.obj X ⊞ F.obj Y := biprod.lift (F.map biprod.fst) (F.map biprod.snd) #align category_theory.functor.biprod_comparison CategoryTheory.Functor.biprodComparison @[reassoc (attr := simp)] theorem biprodComparison_fst : biprodComparison F X Y ≫ biprod.fst = F.map biprod.fst := biprod.lift_fst _ _ #align category_theory.functor.biprod_comparison_fst CategoryTheory.Functor.biprodComparison_fst @[reassoc (attr := simp)] theorem biprodComparison_snd : biprodComparison F X Y ≫ biprod.snd = F.map biprod.snd := biprod.lift_snd _ _ #align category_theory.functor.biprod_comparison_snd CategoryTheory.Functor.biprodComparison_snd def biprodComparison' : F.obj X ⊞ F.obj Y ⟶ F.obj (X ⊞ Y) := biprod.desc (F.map biprod.inl) (F.map biprod.inr) #align category_theory.functor.biprod_comparison' CategoryTheory.Functor.biprodComparison' @[reassoc (attr := simp)] theorem inl_biprodComparison' : biprod.inl ≫ biprodComparison' F X Y = F.map biprod.inl := biprod.inl_desc _ _ #align category_theory.functor.inl_biprod_comparison' CategoryTheory.Functor.inl_biprodComparison' @[reassoc (attr := simp)] theorem inr_biprodComparison' : biprod.inr ≫ biprodComparison' F X Y = F.map biprod.inr := biprod.inr_desc _ _ #align category_theory.functor.inr_biprod_comparison' CategoryTheory.Functor.inr_biprodComparison' variable [PreservesZeroMorphisms F] @[reassoc (attr := simp)]
Mathlib/CategoryTheory/Limits/Preserves/Shapes/Biproducts.lean
349
351
theorem biprodComparison'_comp_biprodComparison : biprodComparison' F X Y ≫ biprodComparison F X Y = 𝟙 (F.obj X ⊞ F.obj Y) := by
ext <;> simp [← Functor.map_comp]
0
import Mathlib.Topology.Bases import Mathlib.Order.Filter.CountableInter import Mathlib.Topology.Compactness.SigmaCompact open Set Filter Topology TopologicalSpace universe u v variable {X : Type u} {Y : Type v} {ι : Type*} variable [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X} section Lindelof def IsLindelof (s : Set X) := ∀ ⦃f⦄ [NeBot f] [CountableInterFilter f], f ≤ 𝓟 s → ∃ x ∈ s, ClusterPt x f theorem IsLindelof.compl_mem_sets (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f] (hf : ∀ x ∈ s, sᶜ ∈ 𝓝 x ⊓ f) : sᶜ ∈ f := by contrapose! hf simp only [not_mem_iff_inf_principal_compl, compl_compl, inf_assoc] at hf ⊢ exact hs inf_le_right theorem IsLindelof.compl_mem_sets_of_nhdsWithin (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f] (hf : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, tᶜ ∈ f) : sᶜ ∈ f := by refine hs.compl_mem_sets fun x hx ↦ ?_ rw [← disjoint_principal_right, disjoint_right_comm, (basis_sets _).disjoint_iff_left] exact hf x hx @[elab_as_elim] theorem IsLindelof.induction_on (hs : IsLindelof s) {p : Set X → Prop} (hmono : ∀ ⦃s t⦄, s ⊆ t → p t → p s) (hcountable_union : ∀ (S : Set (Set X)), S.Countable → (∀ s ∈ S, p s) → p (⋃₀ S)) (hnhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, p t) : p s := by let f : Filter X := ofCountableUnion p hcountable_union (fun t ht _ hsub ↦ hmono hsub ht) have : sᶜ ∈ f := hs.compl_mem_sets_of_nhdsWithin (by simpa [f] using hnhds) rwa [← compl_compl s] theorem IsLindelof.inter_right (hs : IsLindelof s) (ht : IsClosed t) : IsLindelof (s ∩ t) := by intro f hnf _ hstf rw [← inf_principal, le_inf_iff] at hstf obtain ⟨x, hsx, hx⟩ : ∃ x ∈ s, ClusterPt x f := hs hstf.1 have hxt : x ∈ t := ht.mem_of_nhdsWithin_neBot <| hx.mono hstf.2 exact ⟨x, ⟨hsx, hxt⟩, hx⟩ theorem IsLindelof.inter_left (ht : IsLindelof t) (hs : IsClosed s) : IsLindelof (s ∩ t) := inter_comm t s ▸ ht.inter_right hs theorem IsLindelof.diff (hs : IsLindelof s) (ht : IsOpen t) : IsLindelof (s \ t) := hs.inter_right (isClosed_compl_iff.mpr ht) theorem IsLindelof.of_isClosed_subset (hs : IsLindelof s) (ht : IsClosed t) (h : t ⊆ s) : IsLindelof t := inter_eq_self_of_subset_right h ▸ hs.inter_right ht theorem IsLindelof.image_of_continuousOn {f : X → Y} (hs : IsLindelof s) (hf : ContinuousOn f s) : IsLindelof (f '' s) := by intro l lne _ ls have : NeBot (l.comap f ⊓ 𝓟 s) := comap_inf_principal_neBot_of_image_mem lne (le_principal_iff.1 ls) obtain ⟨x, hxs, hx⟩ : ∃ x ∈ s, ClusterPt x (l.comap f ⊓ 𝓟 s) := @hs _ this _ inf_le_right haveI := hx.neBot use f x, mem_image_of_mem f hxs have : Tendsto f (𝓝 x ⊓ (comap f l ⊓ 𝓟 s)) (𝓝 (f x) ⊓ l) := by convert (hf x hxs).inf (@tendsto_comap _ _ f l) using 1 rw [nhdsWithin] ac_rfl exact this.neBot theorem IsLindelof.image {f : X → Y} (hs : IsLindelof s) (hf : Continuous f) : IsLindelof (f '' s) := hs.image_of_continuousOn hf.continuousOn theorem IsLindelof.adherence_nhdset {f : Filter X} [CountableInterFilter f] (hs : IsLindelof s) (hf₂ : f ≤ 𝓟 s) (ht₁ : IsOpen t) (ht₂ : ∀ x ∈ s, ClusterPt x f → x ∈ t) : t ∈ f := (eq_or_neBot _).casesOn mem_of_eq_bot fun _ ↦ let ⟨x, hx, hfx⟩ := @hs (f ⊓ 𝓟 tᶜ) _ _ <| inf_le_of_left_le hf₂ have : x ∈ t := ht₂ x hx hfx.of_inf_left have : tᶜ ∩ t ∈ 𝓝[tᶜ] x := inter_mem_nhdsWithin _ (ht₁.mem_nhds this) have A : 𝓝[tᶜ] x = ⊥ := empty_mem_iff_bot.1 <| compl_inter_self t ▸ this have : 𝓝[tᶜ] x ≠ ⊥ := hfx.of_inf_right.ne absurd A this
Mathlib/Topology/Compactness/Lindelof.lean
129
151
theorem IsLindelof.elim_countable_subcover {ι : Type v} (hs : IsLindelof s) (U : ι → Set X) (hUo : ∀ i, IsOpen (U i)) (hsU : s ⊆ ⋃ i, U i) : ∃ r : Set ι, r.Countable ∧ (s ⊆ ⋃ i ∈ r, U i) := by
have hmono : ∀ ⦃s t : Set X⦄, s ⊆ t → (∃ r : Set ι, r.Countable ∧ t ⊆ ⋃ i ∈ r, U i) → (∃ r : Set ι, r.Countable ∧ s ⊆ ⋃ i ∈ r, U i) := by intro _ _ hst ⟨r, ⟨hrcountable, hsub⟩⟩ exact ⟨r, hrcountable, Subset.trans hst hsub⟩ have hcountable_union : ∀ (S : Set (Set X)), S.Countable → (∀ s ∈ S, ∃ r : Set ι, r.Countable ∧ (s ⊆ ⋃ i ∈ r, U i)) → ∃ r : Set ι, r.Countable ∧ (⋃₀ S ⊆ ⋃ i ∈ r, U i) := by intro S hS hsr choose! r hr using hsr refine ⟨⋃ s ∈ S, r s, hS.biUnion_iff.mpr (fun s hs ↦ (hr s hs).1), ?_⟩ refine sUnion_subset ?h.right.h simp only [mem_iUnion, exists_prop, iUnion_exists, biUnion_and'] exact fun i is x hx ↦ mem_biUnion is ((hr i is).2 hx) have h_nhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, ∃ r : Set ι, r.Countable ∧ (t ⊆ ⋃ i ∈ r, U i) := by intro x hx let ⟨i, hi⟩ := mem_iUnion.1 (hsU hx) refine ⟨U i, mem_nhdsWithin_of_mem_nhds ((hUo i).mem_nhds hi), {i}, by simp, ?_⟩ simp only [mem_singleton_iff, iUnion_iUnion_eq_left] exact Subset.refl _ exact hs.induction_on hmono hcountable_union h_nhds
0
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
0
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]
Mathlib/Analysis/NormedSpace/Real.lean
61
73
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
0
import Mathlib.Data.Finset.Lattice #align_import combinatorics.set_family.compression.down from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" variable {α : Type*} [DecidableEq α] {𝒜 ℬ : Finset (Finset α)} {s : Finset α} {a : α} namespace Finset def nonMemberSubfamily (a : α) (𝒜 : Finset (Finset α)) : Finset (Finset α) := 𝒜.filter fun s => a ∉ s #align finset.non_member_subfamily Finset.nonMemberSubfamily def memberSubfamily (a : α) (𝒜 : Finset (Finset α)) : Finset (Finset α) := (𝒜.filter fun s => a ∈ s).image fun s => erase s a #align finset.member_subfamily Finset.memberSubfamily @[simp] theorem mem_nonMemberSubfamily : s ∈ 𝒜.nonMemberSubfamily a ↔ s ∈ 𝒜 ∧ a ∉ s := by simp [nonMemberSubfamily] #align finset.mem_non_member_subfamily Finset.mem_nonMemberSubfamily @[simp] theorem mem_memberSubfamily : s ∈ 𝒜.memberSubfamily a ↔ insert a s ∈ 𝒜 ∧ a ∉ s := by simp_rw [memberSubfamily, mem_image, mem_filter] refine ⟨?_, fun h => ⟨insert a s, ⟨h.1, by simp⟩, erase_insert h.2⟩⟩ rintro ⟨s, ⟨hs1, hs2⟩, rfl⟩ rw [insert_erase hs2] exact ⟨hs1, not_mem_erase _ _⟩ #align finset.mem_member_subfamily Finset.mem_memberSubfamily theorem nonMemberSubfamily_inter (a : α) (𝒜 ℬ : Finset (Finset α)) : (𝒜 ∩ ℬ).nonMemberSubfamily a = 𝒜.nonMemberSubfamily a ∩ ℬ.nonMemberSubfamily a := filter_inter_distrib _ _ _ #align finset.non_member_subfamily_inter Finset.nonMemberSubfamily_inter theorem memberSubfamily_inter (a : α) (𝒜 ℬ : Finset (Finset α)) : (𝒜 ∩ ℬ).memberSubfamily a = 𝒜.memberSubfamily a ∩ ℬ.memberSubfamily a := by unfold memberSubfamily rw [filter_inter_distrib, image_inter_of_injOn _ _ ((erase_injOn' _).mono _)] simp #align finset.member_subfamily_inter Finset.memberSubfamily_inter theorem nonMemberSubfamily_union (a : α) (𝒜 ℬ : Finset (Finset α)) : (𝒜 ∪ ℬ).nonMemberSubfamily a = 𝒜.nonMemberSubfamily a ∪ ℬ.nonMemberSubfamily a := filter_union _ _ _ #align finset.non_member_subfamily_union Finset.nonMemberSubfamily_union theorem memberSubfamily_union (a : α) (𝒜 ℬ : Finset (Finset α)) : (𝒜 ∪ ℬ).memberSubfamily a = 𝒜.memberSubfamily a ∪ ℬ.memberSubfamily a := by simp_rw [memberSubfamily, filter_union, image_union] #align finset.member_subfamily_union Finset.memberSubfamily_union theorem card_memberSubfamily_add_card_nonMemberSubfamily (a : α) (𝒜 : Finset (Finset α)) : (𝒜.memberSubfamily a).card + (𝒜.nonMemberSubfamily a).card = 𝒜.card := by rw [memberSubfamily, nonMemberSubfamily, card_image_of_injOn] · conv_rhs => rw [← filter_card_add_filter_neg_card_eq_card (fun s => (a ∈ s))] · apply (erase_injOn' _).mono simp #align finset.card_member_subfamily_add_card_non_member_subfamily Finset.card_memberSubfamily_add_card_nonMemberSubfamily
Mathlib/Combinatorics/SetFamily/Compression/Down.lean
99
110
theorem memberSubfamily_union_nonMemberSubfamily (a : α) (𝒜 : Finset (Finset α)) : 𝒜.memberSubfamily a ∪ 𝒜.nonMemberSubfamily a = 𝒜.image fun s => s.erase a := by
ext s simp only [mem_union, mem_memberSubfamily, mem_nonMemberSubfamily, mem_image, exists_prop] constructor · rintro (h | h) · exact ⟨_, h.1, erase_insert h.2⟩ · exact ⟨_, h.1, erase_eq_of_not_mem h.2⟩ · rintro ⟨s, hs, rfl⟩ by_cases ha : a ∈ s · exact Or.inl ⟨by rwa [insert_erase ha], not_mem_erase _ _⟩ · exact Or.inr ⟨by rwa [erase_eq_of_not_mem ha], not_mem_erase _ _⟩
0
import Mathlib.Geometry.Manifold.SmoothManifoldWithCorners import Mathlib.Geometry.Manifold.LocalInvariantProperties #align_import geometry.manifold.cont_mdiff from "leanprover-community/mathlib"@"e5ab837fc252451f3eb9124ae6e7b6f57455e7b9" open Set Function Filter ChartedSpace SmoothManifoldWithCorners open scoped Topology Manifold variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] -- declare a smooth manifold `M` over the pair `(E, H)`. {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] -- declare a smooth manifold `M'` over the pair `(E', H')`. {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] [SmoothManifoldWithCorners I' M'] -- declare a manifold `M''` over the pair `(E'', H'')`. {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H''] {I'' : ModelWithCorners 𝕜 E'' H''} {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M''] -- declare a smooth manifold `N` over the pair `(F, G)`. {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [TopologicalSpace G] {J : ModelWithCorners 𝕜 F G} {N : Type*} [TopologicalSpace N] [ChartedSpace G N] [SmoothManifoldWithCorners J N] -- declare a smooth manifold `N'` over the pair `(F', G')`. {F' : Type*} [NormedAddCommGroup F'] [NormedSpace 𝕜 F'] {G' : Type*} [TopologicalSpace G'] {J' : ModelWithCorners 𝕜 F' G'} {N' : Type*} [TopologicalSpace N'] [ChartedSpace G' N'] [SmoothManifoldWithCorners J' N'] -- F₁, F₂, F₃, F₄ are normed spaces {F₁ : Type*} [NormedAddCommGroup F₁] [NormedSpace 𝕜 F₁] {F₂ : Type*} [NormedAddCommGroup F₂] [NormedSpace 𝕜 F₂] {F₃ : Type*} [NormedAddCommGroup F₃] [NormedSpace 𝕜 F₃] {F₄ : Type*} [NormedAddCommGroup F₄] [NormedSpace 𝕜 F₄] -- declare functions, sets, points and smoothness indices {e : PartialHomeomorph M H} {e' : PartialHomeomorph M' H'} {f f₁ : M → M'} {s s₁ t : Set M} {x : M} {m n : ℕ∞} def ContDiffWithinAtProp (n : ℕ∞) (f : H → H') (s : Set H) (x : H) : Prop := ContDiffWithinAt 𝕜 n (I' ∘ f ∘ I.symm) (I.symm ⁻¹' s ∩ range I) (I x) #align cont_diff_within_at_prop ContDiffWithinAtProp theorem contDiffWithinAtProp_self_source {f : E → H'} {s : Set E} {x : E} : ContDiffWithinAtProp 𝓘(𝕜, E) I' n f s x ↔ ContDiffWithinAt 𝕜 n (I' ∘ f) s x := by simp_rw [ContDiffWithinAtProp, modelWithCornersSelf_coe, range_id, inter_univ, modelWithCornersSelf_coe_symm, CompTriple.comp_eq, preimage_id_eq, id_eq] #align cont_diff_within_at_prop_self_source contDiffWithinAtProp_self_source theorem contDiffWithinAtProp_self {f : E → E'} {s : Set E} {x : E} : ContDiffWithinAtProp 𝓘(𝕜, E) 𝓘(𝕜, E') n f s x ↔ ContDiffWithinAt 𝕜 n f s x := contDiffWithinAtProp_self_source 𝓘(𝕜, E') #align cont_diff_within_at_prop_self contDiffWithinAtProp_self theorem contDiffWithinAtProp_self_target {f : H → E'} {s : Set H} {x : H} : ContDiffWithinAtProp I 𝓘(𝕜, E') n f s x ↔ ContDiffWithinAt 𝕜 n (f ∘ I.symm) (I.symm ⁻¹' s ∩ range I) (I x) := Iff.rfl #align cont_diff_within_at_prop_self_target contDiffWithinAtProp_self_target
Mathlib/Geometry/Manifold/ContMDiff/Defs.lean
116
154
theorem contDiffWithinAt_localInvariantProp (n : ℕ∞) : (contDiffGroupoid ∞ I).LocalInvariantProp (contDiffGroupoid ∞ I') (ContDiffWithinAtProp I I' n) where is_local {s x u f} u_open xu := by
have : I.symm ⁻¹' (s ∩ u) ∩ range I = I.symm ⁻¹' s ∩ range I ∩ I.symm ⁻¹' u := by simp only [inter_right_comm, preimage_inter] rw [ContDiffWithinAtProp, ContDiffWithinAtProp, this] symm apply contDiffWithinAt_inter have : u ∈ 𝓝 (I.symm (I x)) := by rw [ModelWithCorners.left_inv] exact u_open.mem_nhds xu apply ContinuousAt.preimage_mem_nhds I.continuous_symm.continuousAt this right_invariance' {s x f e} he hx h := by rw [ContDiffWithinAtProp] at h ⊢ have : I x = (I ∘ e.symm ∘ I.symm) (I (e x)) := by simp only [hx, mfld_simps] rw [this] at h have : I (e x) ∈ I.symm ⁻¹' e.target ∩ range I := by simp only [hx, mfld_simps] have := (mem_groupoid_of_pregroupoid.2 he).2.contDiffWithinAt this convert (h.comp' _ (this.of_le le_top)).mono_of_mem _ using 1 · ext y; simp only [mfld_simps] refine mem_nhdsWithin.mpr ⟨I.symm ⁻¹' e.target, e.open_target.preimage I.continuous_symm, by simp_rw [mem_preimage, I.left_inv, e.mapsTo hx], ?_⟩ mfld_set_tac congr_of_forall {s x f g} h hx hf := by apply hf.congr · intro y hy simp only [mfld_simps] at hy simp only [h, hy, mfld_simps] · simp only [hx, mfld_simps] left_invariance' {s x f e'} he' hs hx h := by rw [ContDiffWithinAtProp] at h ⊢ have A : (I' ∘ f ∘ I.symm) (I x) ∈ I'.symm ⁻¹' e'.source ∩ range I' := by simp only [hx, mfld_simps] have := (mem_groupoid_of_pregroupoid.2 he').1.contDiffWithinAt A convert (this.of_le le_top).comp _ h _ · ext y; simp only [mfld_simps] · intro y hy; simp only [mfld_simps] at hy; simpa only [hy, mfld_simps] using hs hy.1
0
import Mathlib.RingTheory.MvPowerSeries.Basic import Mathlib.RingTheory.Ideal.LocalRing #align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60" noncomputable section open Finset (antidiagonal mem_antidiagonal) namespace MvPowerSeries open Finsupp variable {σ R : Type*} section Ring variable [Ring R] protected noncomputable def inv.aux (a : R) (φ : MvPowerSeries σ R) : MvPowerSeries σ R | n => letI := Classical.decEq σ if n = 0 then a else -a * ∑ x ∈ antidiagonal n, if _ : x.2 < n then coeff R x.1 φ * inv.aux a φ x.2 else 0 termination_by n => n #align mv_power_series.inv.aux MvPowerSeries.inv.aux theorem coeff_inv_aux [DecidableEq σ] (n : σ →₀ ℕ) (a : R) (φ : MvPowerSeries σ R) : coeff R n (inv.aux a φ) = if n = 0 then a else -a * ∑ x ∈ antidiagonal n, if x.2 < n then coeff R x.1 φ * coeff R x.2 (inv.aux a φ) else 0 := show inv.aux a φ n = _ by cases Subsingleton.elim ‹DecidableEq σ› (Classical.decEq σ) rw [inv.aux] rfl #align mv_power_series.coeff_inv_aux MvPowerSeries.coeff_inv_aux def invOfUnit (φ : MvPowerSeries σ R) (u : Rˣ) : MvPowerSeries σ R := inv.aux (↑u⁻¹) φ #align mv_power_series.inv_of_unit MvPowerSeries.invOfUnit theorem coeff_invOfUnit [DecidableEq σ] (n : σ →₀ ℕ) (φ : MvPowerSeries σ R) (u : Rˣ) : coeff R n (invOfUnit φ u) = if n = 0 then ↑u⁻¹ else -↑u⁻¹ * ∑ x ∈ antidiagonal n, if x.2 < n then coeff R x.1 φ * coeff R x.2 (invOfUnit φ u) else 0 := by convert coeff_inv_aux n (↑u⁻¹) φ #align mv_power_series.coeff_inv_of_unit MvPowerSeries.coeff_invOfUnit @[simp] theorem constantCoeff_invOfUnit (φ : MvPowerSeries σ R) (u : Rˣ) : constantCoeff σ R (invOfUnit φ u) = ↑u⁻¹ := by classical rw [← coeff_zero_eq_constantCoeff_apply, coeff_invOfUnit, if_pos rfl] #align mv_power_series.constant_coeff_inv_of_unit MvPowerSeries.constantCoeff_invOfUnit
Mathlib/RingTheory/MvPowerSeries/Inverse.lean
107
137
theorem mul_invOfUnit (φ : MvPowerSeries σ R) (u : Rˣ) (h : constantCoeff σ R φ = u) : φ * invOfUnit φ u = 1 := ext fun n => letI := Classical.decEq (σ →₀ ℕ) if H : n = 0 then by rw [H] simp [coeff_mul, support_single_ne_zero, h] else by classical have : ((0 : σ →₀ ℕ), n) ∈ antidiagonal n := by
rw [mem_antidiagonal, zero_add] rw [coeff_one, if_neg H, coeff_mul, ← Finset.insert_erase this, Finset.sum_insert (Finset.not_mem_erase _ _), coeff_zero_eq_constantCoeff_apply, h, coeff_invOfUnit, if_neg H, neg_mul, mul_neg, Units.mul_inv_cancel_left, ← Finset.insert_erase this, Finset.sum_insert (Finset.not_mem_erase _ _), Finset.insert_erase this, if_neg (not_lt_of_ge <| le_rfl), zero_add, add_comm, ← sub_eq_add_neg, sub_eq_zero, Finset.sum_congr rfl] rintro ⟨i, j⟩ hij rw [Finset.mem_erase, mem_antidiagonal] at hij cases' hij with h₁ h₂ subst n rw [if_pos] suffices (0 : _) + j < i + j by simpa apply add_lt_add_right constructor · intro s exact Nat.zero_le _ · intro H apply h₁ suffices i = 0 by simp [this] ext1 s exact Nat.eq_zero_of_le_zero (H s)
0
import Mathlib.RingTheory.Ideal.Basic import Mathlib.RingTheory.Ideal.Maps import Mathlib.LinearAlgebra.Finsupp import Mathlib.RingTheory.GradedAlgebra.Basic #align_import ring_theory.graded_algebra.homogeneous_ideal from "leanprover-community/mathlib"@"4e861f25ba5ceef42ba0712d8ffeb32f38ad6441" open SetLike DirectSum Set open Pointwise DirectSum variable {ι σ R A : Type*} section HomogeneousDef variable [Semiring A] variable [SetLike σ A] [AddSubmonoidClass σ A] (𝒜 : ι → σ) variable [DecidableEq ι] [AddMonoid ι] [GradedRing 𝒜] variable (I : Ideal A) def Ideal.IsHomogeneous : Prop := ∀ (i : ι) ⦃r : A⦄, r ∈ I → (DirectSum.decompose 𝒜 r i : A) ∈ I #align ideal.is_homogeneous Ideal.IsHomogeneous theorem Ideal.IsHomogeneous.mem_iff {I} (hI : Ideal.IsHomogeneous 𝒜 I) {x} : x ∈ I ↔ ∀ i, (decompose 𝒜 x i : A) ∈ I := by classical refine ⟨fun hx i ↦ hI i hx, fun hx ↦ ?_⟩ rw [← DirectSum.sum_support_decompose 𝒜 x] exact Ideal.sum_mem _ (fun i _ ↦ hx i) structure HomogeneousIdeal extends Submodule A A where is_homogeneous' : Ideal.IsHomogeneous 𝒜 toSubmodule #align homogeneous_ideal HomogeneousIdeal variable {𝒜} def HomogeneousIdeal.toIdeal (I : HomogeneousIdeal 𝒜) : Ideal A := I.toSubmodule #align homogeneous_ideal.to_ideal HomogeneousIdeal.toIdeal theorem HomogeneousIdeal.isHomogeneous (I : HomogeneousIdeal 𝒜) : I.toIdeal.IsHomogeneous 𝒜 := I.is_homogeneous' #align homogeneous_ideal.is_homogeneous HomogeneousIdeal.isHomogeneous theorem HomogeneousIdeal.toIdeal_injective : Function.Injective (HomogeneousIdeal.toIdeal : HomogeneousIdeal 𝒜 → Ideal A) := fun ⟨x, hx⟩ ⟨y, hy⟩ => fun (h : x = y) => by simp [h] #align homogeneous_ideal.to_ideal_injective HomogeneousIdeal.toIdeal_injective instance HomogeneousIdeal.setLike : SetLike (HomogeneousIdeal 𝒜) A where coe I := I.toIdeal coe_injective' _ _ h := HomogeneousIdeal.toIdeal_injective <| SetLike.coe_injective h #align homogeneous_ideal.set_like HomogeneousIdeal.setLike @[ext] theorem HomogeneousIdeal.ext {I J : HomogeneousIdeal 𝒜} (h : I.toIdeal = J.toIdeal) : I = J := HomogeneousIdeal.toIdeal_injective h #align homogeneous_ideal.ext HomogeneousIdeal.ext
Mathlib/RingTheory/GradedAlgebra/HomogeneousIdeal.lean
102
107
theorem HomogeneousIdeal.ext' {I J : HomogeneousIdeal 𝒜} (h : ∀ i, ∀ x ∈ 𝒜 i, x ∈ I ↔ x ∈ J) : I = J := by
ext rw [I.isHomogeneous.mem_iff, J.isHomogeneous.mem_iff] apply forall_congr' exact fun i ↦ h i _ (decompose 𝒜 _ i).2
0
import Mathlib.CategoryTheory.Abelian.Basic #align_import category_theory.idempotents.basic from "leanprover-community/mathlib"@"3a061790136d13594ec10c7c90d202335ac5d854" open CategoryTheory open CategoryTheory.Category open CategoryTheory.Limits open CategoryTheory.Preadditive open Opposite namespace CategoryTheory variable (C : Type*) [Category C] class IsIdempotentComplete : Prop where idempotents_split : ∀ (X : C) (p : X ⟶ X), p ≫ p = p → ∃ (Y : C) (i : Y ⟶ X) (e : X ⟶ Y), i ≫ e = 𝟙 Y ∧ e ≫ i = p #align category_theory.is_idempotent_complete CategoryTheory.IsIdempotentComplete namespace Idempotents
Mathlib/CategoryTheory/Idempotents/Basic.lean
63
92
theorem isIdempotentComplete_iff_hasEqualizer_of_id_and_idempotent : IsIdempotentComplete C ↔ ∀ (X : C) (p : X ⟶ X), p ≫ p = p → HasEqualizer (𝟙 X) p := by
constructor · intro intro X p hp rcases IsIdempotentComplete.idempotents_split X p hp with ⟨Y, i, e, ⟨h₁, h₂⟩⟩ exact ⟨Nonempty.intro { cone := Fork.ofι i (show i ≫ 𝟙 X = i ≫ p by rw [comp_id, ← h₂, ← assoc, h₁, id_comp]) isLimit := by apply Fork.IsLimit.mk' intro s refine ⟨s.ι ≫ e, ?_⟩ constructor · erw [assoc, h₂, ← Limits.Fork.condition s, comp_id] · intro m hm rw [Fork.ι_ofι] at hm rw [← hm] simp only [← hm, assoc, h₁] exact (comp_id m).symm }⟩ · intro h refine ⟨?_⟩ intro X p hp haveI : HasEqualizer (𝟙 X) p := h X p hp refine ⟨equalizer (𝟙 X) p, equalizer.ι (𝟙 X) p, equalizer.lift p (show p ≫ 𝟙 X = p ≫ p by rw [hp, comp_id]), ?_, equalizer.lift_ι _ _⟩ ext simp only [assoc, limit.lift_π, Eq.ndrec, id_eq, eq_mpr_eq_cast, Fork.ofι_pt, Fork.ofι_π_app, id_comp] rw [← equalizer.condition, comp_id]
0
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.RingTheory.Int.Basic import Mathlib.Tactic.Ring import Mathlib.Tactic.FieldSimp import Mathlib.Data.Int.NatPrime import Mathlib.Data.ZMod.Basic #align_import number_theory.pythagorean_triples from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" theorem sq_ne_two_fin_zmod_four (z : ZMod 4) : z * z ≠ 2 := by change Fin 4 at z fin_cases z <;> decide #align sq_ne_two_fin_zmod_four sq_ne_two_fin_zmod_four theorem Int.sq_ne_two_mod_four (z : ℤ) : z * z % 4 ≠ 2 := by suffices ¬z * z % (4 : ℕ) = 2 % (4 : ℕ) by exact this rw [← ZMod.intCast_eq_intCast_iff'] simpa using sq_ne_two_fin_zmod_four _ #align int.sq_ne_two_mod_four Int.sq_ne_two_mod_four noncomputable section open scoped Classical def PythagoreanTriple (x y z : ℤ) : Prop := x * x + y * y = z * z #align pythagorean_triple PythagoreanTriple theorem pythagoreanTriple_comm {x y z : ℤ} : PythagoreanTriple x y z ↔ PythagoreanTriple y x z := by delta PythagoreanTriple rw [add_comm] #align pythagorean_triple_comm pythagoreanTriple_comm theorem PythagoreanTriple.zero : PythagoreanTriple 0 0 0 := by simp only [PythagoreanTriple, zero_mul, zero_add] #align pythagorean_triple.zero PythagoreanTriple.zero namespace PythagoreanTriple variable {x y z : ℤ} (h : PythagoreanTriple x y z) theorem eq : x * x + y * y = z * z := h #align pythagorean_triple.eq PythagoreanTriple.eq @[symm] theorem symm : PythagoreanTriple y x z := by rwa [pythagoreanTriple_comm] #align pythagorean_triple.symm PythagoreanTriple.symm theorem mul (k : ℤ) : PythagoreanTriple (k * x) (k * y) (k * z) := calc k * x * (k * x) + k * y * (k * y) = k ^ 2 * (x * x + y * y) := by ring _ = k ^ 2 * (z * z) := by rw [h.eq] _ = k * z * (k * z) := by ring #align pythagorean_triple.mul PythagoreanTriple.mul theorem mul_iff (k : ℤ) (hk : k ≠ 0) : PythagoreanTriple (k * x) (k * y) (k * z) ↔ PythagoreanTriple x y z := by refine ⟨?_, fun h => h.mul k⟩ simp only [PythagoreanTriple] intro h rw [← mul_left_inj' (mul_ne_zero hk hk)] convert h using 1 <;> ring #align pythagorean_triple.mul_iff PythagoreanTriple.mul_iff @[nolint unusedArguments] def IsClassified (_ : PythagoreanTriple x y z) := ∃ k m n : ℤ, (x = k * (m ^ 2 - n ^ 2) ∧ y = k * (2 * m * n) ∨ x = k * (2 * m * n) ∧ y = k * (m ^ 2 - n ^ 2)) ∧ Int.gcd m n = 1 #align pythagorean_triple.is_classified PythagoreanTriple.IsClassified @[nolint unusedArguments] def IsPrimitiveClassified (_ : PythagoreanTriple x y z) := ∃ m n : ℤ, (x = m ^ 2 - n ^ 2 ∧ y = 2 * m * n ∨ x = 2 * m * n ∧ y = m ^ 2 - n ^ 2) ∧ Int.gcd m n = 1 ∧ (m % 2 = 0 ∧ n % 2 = 1 ∨ m % 2 = 1 ∧ n % 2 = 0) #align pythagorean_triple.is_primitive_classified PythagoreanTriple.IsPrimitiveClassified theorem mul_isClassified (k : ℤ) (hc : h.IsClassified) : (h.mul k).IsClassified := by obtain ⟨l, m, n, ⟨⟨rfl, rfl⟩ | ⟨rfl, rfl⟩, co⟩⟩ := hc · use k * l, m, n apply And.intro _ co left constructor <;> ring · use k * l, m, n apply And.intro _ co right constructor <;> ring #align pythagorean_triple.mul_is_classified PythagoreanTriple.mul_isClassified
Mathlib/NumberTheory/PythagoreanTriples.lean
132
161
theorem even_odd_of_coprime (hc : Int.gcd x y = 1) : x % 2 = 0 ∧ y % 2 = 1 ∨ x % 2 = 1 ∧ y % 2 = 0 := by
cases' Int.emod_two_eq_zero_or_one x with hx hx <;> cases' Int.emod_two_eq_zero_or_one y with hy hy -- x even, y even · exfalso apply Nat.not_coprime_of_dvd_of_dvd (by decide : 1 < 2) _ _ hc · apply Int.natCast_dvd.1 apply Int.dvd_of_emod_eq_zero hx · apply Int.natCast_dvd.1 apply Int.dvd_of_emod_eq_zero hy -- x even, y odd · left exact ⟨hx, hy⟩ -- x odd, y even · right exact ⟨hx, hy⟩ -- x odd, y odd · exfalso obtain ⟨x0, y0, rfl, rfl⟩ : ∃ x0 y0, x = x0 * 2 + 1 ∧ y = y0 * 2 + 1 := by cases' exists_eq_mul_left_of_dvd (Int.dvd_sub_of_emod_eq hx) with x0 hx2 cases' exists_eq_mul_left_of_dvd (Int.dvd_sub_of_emod_eq hy) with y0 hy2 rw [sub_eq_iff_eq_add] at hx2 hy2 exact ⟨x0, y0, hx2, hy2⟩ apply Int.sq_ne_two_mod_four z rw [show z * z = 4 * (x0 * x0 + x0 + y0 * y0 + y0) + 2 by rw [← h.eq] ring] simp only [Int.add_emod, Int.mul_emod_right, zero_add] decide
0
import Mathlib.Analysis.Convex.Between import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic import Mathlib.MeasureTheory.Measure.Lebesgue.Basic import Mathlib.Topology.MetricSpace.Holder import Mathlib.Topology.MetricSpace.MetricSeparated #align_import measure_theory.measure.hausdorff from "leanprover-community/mathlib"@"3d5c4a7a5fb0d982f97ed953161264f1dbd90ead" open scoped NNReal ENNReal Topology open EMetric Set Function Filter Encodable FiniteDimensional TopologicalSpace noncomputable section variable {ι X Y : Type*} [EMetricSpace X] [EMetricSpace Y] namespace MeasureTheory namespace OuterMeasure def IsMetric (μ : OuterMeasure X) : Prop := ∀ s t : Set X, IsMetricSeparated s t → μ (s ∪ t) = μ s + μ t #align measure_theory.outer_measure.is_metric MeasureTheory.OuterMeasure.IsMetric namespace IsMetric variable {μ : OuterMeasure X} theorem finset_iUnion_of_pairwise_separated (hm : IsMetric μ) {I : Finset ι} {s : ι → Set X} (hI : ∀ i ∈ I, ∀ j ∈ I, i ≠ j → IsMetricSeparated (s i) (s j)) : μ (⋃ i ∈ I, s i) = ∑ i ∈ I, μ (s i) := by classical induction' I using Finset.induction_on with i I hiI ihI hI · simp simp only [Finset.mem_insert] at hI rw [Finset.set_biUnion_insert, hm, ihI, Finset.sum_insert hiI] exacts [fun i hi j hj hij => hI i (Or.inr hi) j (Or.inr hj) hij, IsMetricSeparated.finset_iUnion_right fun j hj => hI i (Or.inl rfl) j (Or.inr hj) (ne_of_mem_of_not_mem hj hiI).symm] #align measure_theory.outer_measure.is_metric.finset_Union_of_pairwise_separated MeasureTheory.OuterMeasure.IsMetric.finset_iUnion_of_pairwise_separated
Mathlib/MeasureTheory/Measure/Hausdorff.lean
159
226
theorem borel_le_caratheodory (hm : IsMetric μ) : borel X ≤ μ.caratheodory := by
rw [borel_eq_generateFrom_isClosed] refine MeasurableSpace.generateFrom_le fun t ht => μ.isCaratheodory_iff_le.2 fun s => ?_ set S : ℕ → Set X := fun n => {x ∈ s | (↑n)⁻¹ ≤ infEdist x t} have Ssep (n) : IsMetricSeparated (S n) t := ⟨n⁻¹, ENNReal.inv_ne_zero.2 (ENNReal.natCast_ne_top _), fun x hx y hy ↦ hx.2.trans <| infEdist_le_edist_of_mem hy⟩ have Ssep' : ∀ n, IsMetricSeparated (S n) (s ∩ t) := fun n => (Ssep n).mono Subset.rfl inter_subset_right have S_sub : ∀ n, S n ⊆ s \ t := fun n => subset_inter inter_subset_left (Ssep n).subset_compl_right have hSs : ∀ n, μ (s ∩ t) + μ (S n) ≤ μ s := fun n => calc μ (s ∩ t) + μ (S n) = μ (s ∩ t ∪ S n) := Eq.symm <| hm _ _ <| (Ssep' n).symm _ ≤ μ (s ∩ t ∪ s \ t) := μ.mono <| union_subset_union_right _ <| S_sub n _ = μ s := by rw [inter_union_diff] have iUnion_S : ⋃ n, S n = s \ t := by refine Subset.antisymm (iUnion_subset S_sub) ?_ rintro x ⟨hxs, hxt⟩ rw [mem_iff_infEdist_zero_of_closed ht] at hxt rcases ENNReal.exists_inv_nat_lt hxt with ⟨n, hn⟩ exact mem_iUnion.2 ⟨n, hxs, hn.le⟩ /- Now we have `∀ n, μ (s ∩ t) + μ (S n) ≤ μ s` and we need to prove `μ (s ∩ t) + μ (⋃ n, S n) ≤ μ s`. We can't pass to the limit because `μ` is only an outer measure. -/ by_cases htop : μ (s \ t) = ∞ · rw [htop, add_top, ← htop] exact μ.mono diff_subset suffices μ (⋃ n, S n) ≤ ⨆ n, μ (S n) by calc μ (s ∩ t) + μ (s \ t) = μ (s ∩ t) + μ (⋃ n, S n) := by rw [iUnion_S] _ ≤ μ (s ∩ t) + ⨆ n, μ (S n) := by gcongr _ = ⨆ n, μ (s ∩ t) + μ (S n) := ENNReal.add_iSup _ ≤ μ s := iSup_le hSs /- It suffices to show that `∑' k, μ (S (k + 1) \ S k) ≠ ∞`. Indeed, if we have this, then for all `N` we have `μ (⋃ n, S n) ≤ μ (S N) + ∑' k, m (S (N + k + 1) \ S (N + k))` and the second term tends to zero, see `OuterMeasure.iUnion_nat_of_monotone_of_tsum_ne_top` for details. -/ have : ∀ n, S n ⊆ S (n + 1) := fun n x hx => ⟨hx.1, le_trans (ENNReal.inv_le_inv.2 <| Nat.cast_le.2 n.le_succ) hx.2⟩ classical -- Porting note: Added this to get the next tactic to work refine (μ.iUnion_nat_of_monotone_of_tsum_ne_top this ?_).le; clear this /- While the sets `S (k + 1) \ S k` are not pairwise metric separated, the sets in each subsequence `S (2 * k + 1) \ S (2 * k)` and `S (2 * k + 2) \ S (2 * k)` are metric separated, so `m` is additive on each of those sequences. -/ rw [← tsum_even_add_odd ENNReal.summable ENNReal.summable, ENNReal.add_ne_top] suffices ∀ a, (∑' k : ℕ, μ (S (2 * k + 1 + a) \ S (2 * k + a))) ≠ ∞ from ⟨by simpa using this 0, by simpa using this 1⟩ refine fun r => ne_top_of_le_ne_top htop ?_ rw [← iUnion_S, ENNReal.tsum_eq_iSup_nat, iSup_le_iff] intro n rw [← hm.finset_iUnion_of_pairwise_separated] · exact μ.mono (iUnion_subset fun i => iUnion_subset fun _ x hx => mem_iUnion.2 ⟨_, hx.1⟩) suffices ∀ i j, i < j → IsMetricSeparated (S (2 * i + 1 + r)) (s \ S (2 * j + r)) from fun i _ j _ hij => hij.lt_or_lt.elim (fun h => (this i j h).mono inter_subset_left fun x hx => by exact ⟨hx.1.1, hx.2⟩) fun h => (this j i h).symm.mono (fun x hx => by exact ⟨hx.1.1, hx.2⟩) inter_subset_left intro i j hj have A : ((↑(2 * j + r))⁻¹ : ℝ≥0∞) < (↑(2 * i + 1 + r))⁻¹ := by rw [ENNReal.inv_lt_inv, Nat.cast_lt]; omega refine ⟨(↑(2 * i + 1 + r))⁻¹ - (↑(2 * j + r))⁻¹, by simpa [tsub_eq_zero_iff_le] using A, fun x hx y hy => ?_⟩ have : infEdist y t < (↑(2 * j + r))⁻¹ := not_le.1 fun hle => hy.2 ⟨hy.1, hle⟩ rcases infEdist_lt_iff.mp this with ⟨z, hzt, hyz⟩ have hxz : (↑(2 * i + 1 + r))⁻¹ ≤ edist x z := le_infEdist.1 hx.2 _ hzt apply ENNReal.le_of_add_le_add_right hyz.ne_top refine le_trans ?_ (edist_triangle _ _ _) refine (add_le_add le_rfl hyz.le).trans (Eq.trans_le ?_ hxz) rw [tsub_add_cancel_of_le A.le]
0
import Mathlib.Data.Matrix.Basic import Mathlib.LinearAlgebra.Matrix.Trace #align_import data.matrix.basis from "leanprover-community/mathlib"@"320df450e9abeb5fc6417971e75acb6ae8bc3794" variable {l m n : Type*} variable {R α : Type*} namespace Matrix open Matrix variable [DecidableEq l] [DecidableEq m] [DecidableEq n] variable [Semiring α] def stdBasisMatrix (i : m) (j : n) (a : α) : Matrix m n α := fun i' j' => if i = i' ∧ j = j' then a else 0 #align matrix.std_basis_matrix Matrix.stdBasisMatrix @[simp] theorem smul_stdBasisMatrix [SMulZeroClass R α] (r : R) (i : m) (j : n) (a : α) : r • stdBasisMatrix i j a = stdBasisMatrix i j (r • a) := by unfold stdBasisMatrix ext simp [smul_ite] #align matrix.smul_std_basis_matrix Matrix.smul_stdBasisMatrix @[simp] theorem stdBasisMatrix_zero (i : m) (j : n) : stdBasisMatrix i j (0 : α) = 0 := by unfold stdBasisMatrix ext simp #align matrix.std_basis_matrix_zero Matrix.stdBasisMatrix_zero
Mathlib/Data/Matrix/Basis.lean
51
54
theorem stdBasisMatrix_add (i : m) (j : n) (a b : α) : stdBasisMatrix i j (a + b) = stdBasisMatrix i j a + stdBasisMatrix i j b := by
unfold stdBasisMatrix; ext split_ifs with h <;> simp [h]
0
import Mathlib.CategoryTheory.Limits.Preserves.Finite import Mathlib.CategoryTheory.Limits.Opposites import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Products import Mathlib.CategoryTheory.Limits.Shapes.Types import Mathlib.Topology.Category.TopCat.Limits.Products universe w w' v u open CategoryTheory Opposite Limits variable {C : Type u} [Category.{v} C] (F : C ⥤ TopCat.{w}) (Y : Type w') [TopologicalSpace Y] namespace ContinuousMap @[simps] def yonedaPresheaf : Cᵒᵖ ⥤ Type (max w w') where obj X := C(F.obj (unop X), Y) map f g := ContinuousMap.comp g (F.map f.unop) @[simps] def yonedaPresheaf' : TopCat.{w}ᵒᵖ ⥤ Type (max w w') where obj X := C((unop X).1, Y) map f g := ContinuousMap.comp g f.unop theorem comp_yonedaPresheaf' : yonedaPresheaf F Y = F.op ⋙ yonedaPresheaf' Y := rfl
Mathlib/Topology/Category/TopCat/Yoneda.lean
48
58
theorem piComparison_fac {α : Type} (X : α → TopCat) : piComparison (yonedaPresheaf'.{w, w'} Y) (fun x ↦ op (X x)) = (yonedaPresheaf' Y).map ((opCoproductIsoProduct X).inv ≫ (TopCat.sigmaIsoSigma X).inv.op) ≫ (equivEquivIso (sigmaEquiv Y (fun x ↦ (X x).1))).inv ≫ (Types.productIso _).inv := by
rw [← Category.assoc, Iso.eq_comp_inv] ext simp only [yonedaPresheaf', unop_op, piComparison, types_comp_apply, Types.productIso_hom_comp_eval_apply, Types.pi_lift_π_apply, comp_apply, TopCat.coe_of, unop_comp, Quiver.Hom.unop_op, sigmaEquiv, equivEquivIso_hom, Equiv.toIso_inv, Equiv.coe_fn_symm_mk, comp_assoc, sigmaMk_apply, ← opCoproductIsoProduct_inv_comp_ι] rfl
0
import Mathlib.Analysis.Convex.Hull #align_import analysis.convex.extreme from "leanprover-community/mathlib"@"c5773405394e073885e2a144c9ca14637e8eb963" open Function Set open scoped Classical open Affine variable {𝕜 E F ι : Type*} {π : ι → Type*} section SMul variable (𝕜) [OrderedSemiring 𝕜] [AddCommMonoid E] [SMul 𝕜 E] def IsExtreme (A B : Set E) : Prop := B ⊆ A ∧ ∀ ⦃x₁⦄, x₁ ∈ A → ∀ ⦃x₂⦄, x₂ ∈ A → ∀ ⦃x⦄, x ∈ B → x ∈ openSegment 𝕜 x₁ x₂ → x₁ ∈ B ∧ x₂ ∈ B #align is_extreme IsExtreme def Set.extremePoints (A : Set E) : Set E := { x ∈ A | ∀ ⦃x₁⦄, x₁ ∈ A → ∀ ⦃x₂⦄, x₂ ∈ A → x ∈ openSegment 𝕜 x₁ x₂ → x₁ = x ∧ x₂ = x } #align set.extreme_points Set.extremePoints @[refl] protected theorem IsExtreme.refl (A : Set E) : IsExtreme 𝕜 A A := ⟨Subset.rfl, fun _ hx₁A _ hx₂A _ _ _ ↦ ⟨hx₁A, hx₂A⟩⟩ #align is_extreme.refl IsExtreme.refl variable {𝕜} {A B C : Set E} {x : E} protected theorem IsExtreme.rfl : IsExtreme 𝕜 A A := IsExtreme.refl 𝕜 A #align is_extreme.rfl IsExtreme.rfl @[trans] protected theorem IsExtreme.trans (hAB : IsExtreme 𝕜 A B) (hBC : IsExtreme 𝕜 B C) : IsExtreme 𝕜 A C := by refine ⟨Subset.trans hBC.1 hAB.1, fun x₁ hx₁A x₂ hx₂A x hxC hx ↦ ?_⟩ obtain ⟨hx₁B, hx₂B⟩ := hAB.2 hx₁A hx₂A (hBC.1 hxC) hx exact hBC.2 hx₁B hx₂B hxC hx #align is_extreme.trans IsExtreme.trans protected theorem IsExtreme.antisymm : AntiSymmetric (IsExtreme 𝕜 : Set E → Set E → Prop) := fun _ _ hAB hBA ↦ Subset.antisymm hBA.1 hAB.1 #align is_extreme.antisymm IsExtreme.antisymm instance : IsPartialOrder (Set E) (IsExtreme 𝕜) where refl := IsExtreme.refl 𝕜 trans _ _ _ := IsExtreme.trans antisymm := IsExtreme.antisymm theorem IsExtreme.inter (hAB : IsExtreme 𝕜 A B) (hAC : IsExtreme 𝕜 A C) : IsExtreme 𝕜 A (B ∩ C) := by use Subset.trans inter_subset_left hAB.1 rintro x₁ hx₁A x₂ hx₂A x ⟨hxB, hxC⟩ hx obtain ⟨hx₁B, hx₂B⟩ := hAB.2 hx₁A hx₂A hxB hx obtain ⟨hx₁C, hx₂C⟩ := hAC.2 hx₁A hx₂A hxC hx exact ⟨⟨hx₁B, hx₁C⟩, hx₂B, hx₂C⟩ #align is_extreme.inter IsExtreme.inter protected theorem IsExtreme.mono (hAC : IsExtreme 𝕜 A C) (hBA : B ⊆ A) (hCB : C ⊆ B) : IsExtreme 𝕜 B C := ⟨hCB, fun _ hx₁B _ hx₂B _ hxC hx ↦ hAC.2 (hBA hx₁B) (hBA hx₂B) hxC hx⟩ #align is_extreme.mono IsExtreme.mono
Mathlib/Analysis/Convex/Extreme.lean
111
117
theorem isExtreme_iInter {ι : Sort*} [Nonempty ι] {F : ι → Set E} (hAF : ∀ i : ι, IsExtreme 𝕜 A (F i)) : IsExtreme 𝕜 A (⋂ i : ι, F i) := by
obtain i := Classical.arbitrary ι refine ⟨iInter_subset_of_subset i (hAF i).1, fun x₁ hx₁A x₂ hx₂A x hxF hx ↦ ?_⟩ simp_rw [mem_iInter] at hxF ⊢ have h := fun i ↦ (hAF i).2 hx₁A hx₂A (hxF i) hx exact ⟨fun i ↦ (h i).1, fun i ↦ (h i).2⟩
0
import Mathlib.CategoryTheory.Adjunction.Unique import Mathlib.CategoryTheory.Adjunction.FullyFaithful import Mathlib.CategoryTheory.Sites.Sheaf import Mathlib.CategoryTheory.Limits.Preserves.Finite universe v₁ v₂ u₁ u₂ namespace CategoryTheory open Limits variable {C : Type u₁} [Category.{v₁} C] (J : GrothendieckTopology C) variable (A : Type u₂) [Category.{v₂} A] abbrev HasWeakSheafify : Prop := (sheafToPresheaf J A).IsRightAdjoint class HasSheafify : Prop where isRightAdjoint : HasWeakSheafify J A isLeftExact : Nonempty (PreservesFiniteLimits ((sheafToPresheaf J A).leftAdjoint)) instance [HasSheafify J A] : HasWeakSheafify J A := HasSheafify.isRightAdjoint noncomputable section instance [HasSheafify J A] : PreservesFiniteLimits ((sheafToPresheaf J A).leftAdjoint) := HasSheafify.isLeftExact.some theorem HasSheafify.mk' {F : (Cᵒᵖ ⥤ A) ⥤ Sheaf J A} (adj : F ⊣ sheafToPresheaf J A) [PreservesFiniteLimits F] : HasSheafify J A where isRightAdjoint := ⟨F, ⟨adj⟩⟩ isLeftExact := ⟨by have : (sheafToPresheaf J A).IsRightAdjoint := ⟨_, ⟨adj⟩⟩ exact ⟨fun _ _ _ ↦ preservesLimitsOfShapeOfNatIso (adj.leftAdjointUniq (Adjunction.ofIsRightAdjoint (sheafToPresheaf J A)))⟩⟩ def presheafToSheaf [HasWeakSheafify J A] : (Cᵒᵖ ⥤ A) ⥤ Sheaf J A := (sheafToPresheaf J A).leftAdjoint instance [HasSheafify J A] : PreservesFiniteLimits (presheafToSheaf J A) := HasSheafify.isLeftExact.some def sheafificationAdjunction [HasWeakSheafify J A] : presheafToSheaf J A ⊣ sheafToPresheaf J A := Adjunction.ofIsRightAdjoint _ instance [HasWeakSheafify J A] : (presheafToSheaf J A).IsLeftAdjoint := ⟨_, ⟨sheafificationAdjunction J A⟩⟩ end variable {D : Type*} [Category D] [HasWeakSheafify J D] noncomputable abbrev sheafify (P : Cᵒᵖ ⥤ D) : Cᵒᵖ ⥤ D := presheafToSheaf J D |>.obj P |>.val noncomputable abbrev toSheafify (P : Cᵒᵖ ⥤ D) : P ⟶ sheafify J P := sheafificationAdjunction J D |>.unit.app P @[simp] theorem sheafificationAdjunction_unit_app (P : Cᵒᵖ ⥤ D) : (sheafificationAdjunction J D).unit.app P = toSheafify J P := rfl noncomputable abbrev sheafifyMap {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) : sheafify J P ⟶ sheafify J Q := presheafToSheaf J D |>.map η |>.val @[simp] theorem sheafifyMap_id (P : Cᵒᵖ ⥤ D) : sheafifyMap J (𝟙 P) = 𝟙 (sheafify J P) := by simp [sheafifyMap, sheafify] @[simp] theorem sheafifyMap_comp {P Q R : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (γ : Q ⟶ R) : sheafifyMap J (η ≫ γ) = sheafifyMap J η ≫ sheafifyMap J γ := by simp [sheafifyMap, sheafify] @[reassoc (attr := simp)] theorem toSheafify_naturality {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) : η ≫ toSheafify J _ = toSheafify J _ ≫ sheafifyMap J η := sheafificationAdjunction J D |>.unit.naturality η variable (D) noncomputable abbrev sheafification : (Cᵒᵖ ⥤ D) ⥤ Cᵒᵖ ⥤ D := presheafToSheaf J D ⋙ sheafToPresheaf J D theorem sheafification_obj (P : Cᵒᵖ ⥤ D) : (sheafification J D).obj P = sheafify J P := rfl theorem sheafification_map {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) : (sheafification J D).map η = sheafifyMap J η := rfl noncomputable abbrev toSheafification : 𝟭 _ ⟶ sheafification J D := sheafificationAdjunction J D |>.unit theorem toSheafification_app (P : Cᵒᵖ ⥤ D) : (toSheafification J D).app P = toSheafify J P := rfl variable {D}
Mathlib/CategoryTheory/Sites/Sheafification.lean
131
138
theorem isIso_toSheafify {P : Cᵒᵖ ⥤ D} (hP : Presheaf.IsSheaf J P) : IsIso (toSheafify J P) := by
refine ⟨(sheafificationAdjunction J D |>.counit.app ⟨P, hP⟩).val, ?_, ?_⟩ · change _ = (𝟙 (sheafToPresheaf J D ⋙ 𝟭 (Cᵒᵖ ⥤ D)) : _).app ⟨P, hP⟩ rw [← sheafificationAdjunction J D |>.right_triangle] rfl · change (sheafToPresheaf _ _).map _ ≫ _ = _ change _ ≫ (sheafificationAdjunction J D).unit.app ((sheafToPresheaf J D).obj ⟨P, hP⟩) = _ erw [← (sheafificationAdjunction J D).inv_counit_map (X := ⟨P, hP⟩), comp_inv_eq_id]
0
import Mathlib.Analysis.BoxIntegral.Partition.Basic #align_import analysis.box_integral.partition.split from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f" noncomputable section open scoped Classical open Filter open Function Set Filter namespace BoxIntegral variable {ι M : Type*} {n : ℕ} namespace Box variable {I : Box ι} {i : ι} {x : ℝ} {y : ι → ℝ} def splitLower (I : Box ι) (i : ι) (x : ℝ) : WithBot (Box ι) := mk' I.lower (update I.upper i (min x (I.upper i))) #align box_integral.box.split_lower BoxIntegral.Box.splitLower @[simp] theorem coe_splitLower : (splitLower I i x : Set (ι → ℝ)) = ↑I ∩ { y | y i ≤ x } := by rw [splitLower, coe_mk'] ext y simp only [mem_univ_pi, mem_Ioc, mem_inter_iff, mem_coe, mem_setOf_eq, forall_and, ← Pi.le_def, le_update_iff, le_min_iff, and_assoc, and_forall_ne (p := fun j => y j ≤ upper I j) i, mem_def] rw [and_comm (a := y i ≤ x)] #align box_integral.box.coe_split_lower BoxIntegral.Box.coe_splitLower theorem splitLower_le : I.splitLower i x ≤ I := withBotCoe_subset_iff.1 <| by simp #align box_integral.box.split_lower_le BoxIntegral.Box.splitLower_le @[simp] theorem splitLower_eq_bot {i x} : I.splitLower i x = ⊥ ↔ x ≤ I.lower i := by rw [splitLower, mk'_eq_bot, exists_update_iff I.upper fun j y => y ≤ I.lower j] simp [(I.lower_lt_upper _).not_le] #align box_integral.box.split_lower_eq_bot BoxIntegral.Box.splitLower_eq_bot @[simp] theorem splitLower_eq_self : I.splitLower i x = I ↔ I.upper i ≤ x := by simp [splitLower, update_eq_iff] #align box_integral.box.split_lower_eq_self BoxIntegral.Box.splitLower_eq_self theorem splitLower_def [DecidableEq ι] {i x} (h : x ∈ Ioo (I.lower i) (I.upper i)) (h' : ∀ j, I.lower j < update I.upper i x j := (forall_update_iff I.upper fun j y => I.lower j < y).2 ⟨h.1, fun j _ => I.lower_lt_upper _⟩) : I.splitLower i x = (⟨I.lower, update I.upper i x, h'⟩ : Box ι) := by simp (config := { unfoldPartialApp := true }) only [splitLower, mk'_eq_coe, min_eq_left h.2.le, update, and_self] #align box_integral.box.split_lower_def BoxIntegral.Box.splitLower_def def splitUpper (I : Box ι) (i : ι) (x : ℝ) : WithBot (Box ι) := mk' (update I.lower i (max x (I.lower i))) I.upper #align box_integral.box.split_upper BoxIntegral.Box.splitUpper @[simp] theorem coe_splitUpper : (splitUpper I i x : Set (ι → ℝ)) = ↑I ∩ { y | x < y i } := by rw [splitUpper, coe_mk'] ext y simp only [mem_univ_pi, mem_Ioc, mem_inter_iff, mem_coe, mem_setOf_eq, forall_and, forall_update_iff I.lower fun j z => z < y j, max_lt_iff, and_assoc (a := x < y i), and_forall_ne (p := fun j => lower I j < y j) i, mem_def] exact and_comm #align box_integral.box.coe_split_upper BoxIntegral.Box.coe_splitUpper theorem splitUpper_le : I.splitUpper i x ≤ I := withBotCoe_subset_iff.1 <| by simp #align box_integral.box.split_upper_le BoxIntegral.Box.splitUpper_le @[simp] theorem splitUpper_eq_bot {i x} : I.splitUpper i x = ⊥ ↔ I.upper i ≤ x := by rw [splitUpper, mk'_eq_bot, exists_update_iff I.lower fun j y => I.upper j ≤ y] simp [(I.lower_lt_upper _).not_le] #align box_integral.box.split_upper_eq_bot BoxIntegral.Box.splitUpper_eq_bot @[simp] theorem splitUpper_eq_self : I.splitUpper i x = I ↔ x ≤ I.lower i := by simp [splitUpper, update_eq_iff] #align box_integral.box.split_upper_eq_self BoxIntegral.Box.splitUpper_eq_self theorem splitUpper_def [DecidableEq ι] {i x} (h : x ∈ Ioo (I.lower i) (I.upper i)) (h' : ∀ j, update I.lower i x j < I.upper j := (forall_update_iff I.lower fun j y => y < I.upper j).2 ⟨h.2, fun j _ => I.lower_lt_upper _⟩) : I.splitUpper i x = (⟨update I.lower i x, I.upper, h'⟩ : Box ι) := by simp (config := { unfoldPartialApp := true }) only [splitUpper, mk'_eq_coe, max_eq_left h.1.le, update, and_self] #align box_integral.box.split_upper_def BoxIntegral.Box.splitUpper_def theorem disjoint_splitLower_splitUpper (I : Box ι) (i : ι) (x : ℝ) : Disjoint (I.splitLower i x) (I.splitUpper i x) := by rw [← disjoint_withBotCoe, coe_splitLower, coe_splitUpper] refine (Disjoint.inf_left' _ ?_).inf_right' _ rw [Set.disjoint_left] exact fun y (hle : y i ≤ x) hlt => not_lt_of_le hle hlt #align box_integral.box.disjoint_split_lower_split_upper BoxIntegral.Box.disjoint_splitLower_splitUpper
Mathlib/Analysis/BoxIntegral/Partition/Split.lean
147
153
theorem splitLower_ne_splitUpper (I : Box ι) (i : ι) (x : ℝ) : I.splitLower i x ≠ I.splitUpper i x := by
cases' le_or_lt x (I.lower i) with h · rw [splitUpper_eq_self.2 h, splitLower_eq_bot.2 h] exact WithBot.bot_ne_coe · refine (disjoint_splitLower_splitUpper I i x).ne ?_ rwa [Ne, splitLower_eq_bot, not_le]
0
import Mathlib.Algebra.Polynomial.Expand import Mathlib.Algebra.Polynomial.Splits import Mathlib.Algebra.Squarefree.Basic import Mathlib.FieldTheory.Minpoly.Field import Mathlib.RingTheory.PowerBasis #align_import field_theory.separable from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" universe u v w open scoped Classical open Polynomial Finset namespace Polynomial section CommSemiring variable {R : Type u} [CommSemiring R] {S : Type v} [CommSemiring S] def Separable (f : R[X]) : Prop := IsCoprime f (derivative f) #align polynomial.separable Polynomial.Separable theorem separable_def (f : R[X]) : f.Separable ↔ IsCoprime f (derivative f) := Iff.rfl #align polynomial.separable_def Polynomial.separable_def theorem separable_def' (f : R[X]) : f.Separable ↔ ∃ a b : R[X], a * f + b * (derivative f) = 1 := Iff.rfl #align polynomial.separable_def' Polynomial.separable_def' theorem not_separable_zero [Nontrivial R] : ¬Separable (0 : R[X]) := by rintro ⟨x, y, h⟩ simp only [derivative_zero, mul_zero, add_zero, zero_ne_one] at h #align polynomial.not_separable_zero Polynomial.not_separable_zero theorem Separable.ne_zero [Nontrivial R] {f : R[X]} (h : f.Separable) : f ≠ 0 := (not_separable_zero <| · ▸ h) @[simp] theorem separable_one : (1 : R[X]).Separable := isCoprime_one_left #align polynomial.separable_one Polynomial.separable_one @[nontriviality] theorem separable_of_subsingleton [Subsingleton R] (f : R[X]) : f.Separable := by simp [Separable, IsCoprime, eq_iff_true_of_subsingleton] #align polynomial.separable_of_subsingleton Polynomial.separable_of_subsingleton theorem separable_X_add_C (a : R) : (X + C a).Separable := by rw [separable_def, derivative_add, derivative_X, derivative_C, add_zero] exact isCoprime_one_right set_option linter.uppercaseLean3 false in #align polynomial.separable_X_add_C Polynomial.separable_X_add_C theorem separable_X : (X : R[X]).Separable := by rw [separable_def, derivative_X] exact isCoprime_one_right set_option linter.uppercaseLean3 false in #align polynomial.separable_X Polynomial.separable_X theorem separable_C (r : R) : (C r).Separable ↔ IsUnit r := by rw [separable_def, derivative_C, isCoprime_zero_right, isUnit_C] set_option linter.uppercaseLean3 false in #align polynomial.separable_C Polynomial.separable_C theorem Separable.of_mul_left {f g : R[X]} (h : (f * g).Separable) : f.Separable := by have := h.of_mul_left_left; rw [derivative_mul] at this exact IsCoprime.of_mul_right_left (IsCoprime.of_add_mul_left_right this) #align polynomial.separable.of_mul_left Polynomial.Separable.of_mul_left theorem Separable.of_mul_right {f g : R[X]} (h : (f * g).Separable) : g.Separable := by rw [mul_comm] at h exact h.of_mul_left #align polynomial.separable.of_mul_right Polynomial.Separable.of_mul_right theorem Separable.of_dvd {f g : R[X]} (hf : f.Separable) (hfg : g ∣ f) : g.Separable := by rcases hfg with ⟨f', rfl⟩ exact Separable.of_mul_left hf #align polynomial.separable.of_dvd Polynomial.Separable.of_dvd theorem separable_gcd_left {F : Type*} [Field F] {f : F[X]} (hf : f.Separable) (g : F[X]) : (EuclideanDomain.gcd f g).Separable := Separable.of_dvd hf (EuclideanDomain.gcd_dvd_left f g) #align polynomial.separable_gcd_left Polynomial.separable_gcd_left theorem separable_gcd_right {F : Type*} [Field F] {g : F[X]} (f : F[X]) (hg : g.Separable) : (EuclideanDomain.gcd f g).Separable := Separable.of_dvd hg (EuclideanDomain.gcd_dvd_right f g) #align polynomial.separable_gcd_right Polynomial.separable_gcd_right theorem Separable.isCoprime {f g : R[X]} (h : (f * g).Separable) : IsCoprime f g := by have := h.of_mul_left_left; rw [derivative_mul] at this exact IsCoprime.of_mul_right_right (IsCoprime.of_add_mul_left_right this) #align polynomial.separable.is_coprime Polynomial.Separable.isCoprime theorem Separable.of_pow' {f : R[X]} : ∀ {n : ℕ} (_h : (f ^ n).Separable), IsUnit f ∨ f.Separable ∧ n = 1 ∨ n = 0 | 0 => fun _h => Or.inr <| Or.inr rfl | 1 => fun h => Or.inr <| Or.inl ⟨pow_one f ▸ h, rfl⟩ | n + 2 => fun h => by rw [pow_succ, pow_succ] at h exact Or.inl (isCoprime_self.1 h.isCoprime.of_mul_left_right) #align polynomial.separable.of_pow' Polynomial.Separable.of_pow' theorem Separable.of_pow {f : R[X]} (hf : ¬IsUnit f) {n : ℕ} (hn : n ≠ 0) (hfs : (f ^ n).Separable) : f.Separable ∧ n = 1 := (hfs.of_pow'.resolve_left hf).resolve_right hn #align polynomial.separable.of_pow Polynomial.Separable.of_pow theorem Separable.map {p : R[X]} (h : p.Separable) {f : R →+* S} : (p.map f).Separable := let ⟨a, b, H⟩ := h ⟨a.map f, b.map f, by rw [derivative_map, ← Polynomial.map_mul, ← Polynomial.map_mul, ← Polynomial.map_add, H, Polynomial.map_one]⟩ #align polynomial.separable.map Polynomial.Separable.map
Mathlib/FieldTheory/Separable.lean
138
149
theorem _root_.Associated.separable {f g : R[X]} (ha : Associated f g) (h : f.Separable) : g.Separable := by
obtain ⟨⟨u, v, h1, h2⟩, ha⟩ := ha obtain ⟨a, b, h⟩ := h refine ⟨a * v + b * derivative v, b * v, ?_⟩ replace h := congr($h * $(h1)) have h3 := congr(derivative $(h1)) simp only [← ha, derivative_mul, derivative_one] at h3 ⊢ calc _ = (a * f + b * derivative f) * (u * v) + (b * f) * (derivative u * v + u * derivative v) := by ring1 _ = 1 := by rw [h, h3]; ring1
0
import Mathlib.Algebra.Order.BigOperators.Group.Finset import Mathlib.Data.Set.Subsingleton #align_import combinatorics.double_counting from "leanprover-community/mathlib"@"1126441d6bccf98c81214a0780c73d499f6721fe" open Finset Function Relator variable {α β : Type*} namespace Finset section Bipartite variable (r : α → β → Prop) (s : Finset α) (t : Finset β) (a a' : α) (b b' : β) [DecidablePred (r a)] [∀ a, Decidable (r a b)] {m n : ℕ} def bipartiteBelow : Finset α := s.filter fun a ↦ r a b #align finset.bipartite_below Finset.bipartiteBelow def bipartiteAbove : Finset β := t.filter (r a) #align finset.bipartite_above Finset.bipartiteAbove theorem bipartiteBelow_swap : t.bipartiteBelow (swap r) a = t.bipartiteAbove r a := rfl #align finset.bipartite_below_swap Finset.bipartiteBelow_swap theorem bipartiteAbove_swap : s.bipartiteAbove (swap r) b = s.bipartiteBelow r b := rfl #align finset.bipartite_above_swap Finset.bipartiteAbove_swap @[simp, norm_cast] theorem coe_bipartiteBelow : (s.bipartiteBelow r b : Set α) = { a ∈ s | r a b } := coe_filter _ _ #align finset.coe_bipartite_below Finset.coe_bipartiteBelow @[simp, norm_cast] theorem coe_bipartiteAbove : (t.bipartiteAbove r a : Set β) = { b ∈ t | r a b } := coe_filter _ _ #align finset.coe_bipartite_above Finset.coe_bipartiteAbove variable {s t a a' b b'} @[simp] theorem mem_bipartiteBelow {a : α} : a ∈ s.bipartiteBelow r b ↔ a ∈ s ∧ r a b := mem_filter #align finset.mem_bipartite_below Finset.mem_bipartiteBelow @[simp] theorem mem_bipartiteAbove {b : β} : b ∈ t.bipartiteAbove r a ↔ b ∈ t ∧ r a b := mem_filter #align finset.mem_bipartite_above Finset.mem_bipartiteAbove theorem sum_card_bipartiteAbove_eq_sum_card_bipartiteBelow [∀ a b, Decidable (r a b)] : (∑ a ∈ s, (t.bipartiteAbove r a).card) = ∑ b ∈ t, (s.bipartiteBelow r b).card := by simp_rw [card_eq_sum_ones, bipartiteAbove, bipartiteBelow, sum_filter] exact sum_comm #align finset.sum_card_bipartite_above_eq_sum_card_bipartite_below Finset.sum_card_bipartiteAbove_eq_sum_card_bipartiteBelow theorem card_mul_le_card_mul [∀ a b, Decidable (r a b)] (hm : ∀ a ∈ s, m ≤ (t.bipartiteAbove r a).card) (hn : ∀ b ∈ t, (s.bipartiteBelow r b).card ≤ n) : s.card * m ≤ t.card * n := calc _ ≤ ∑ a ∈ s, (t.bipartiteAbove r a).card := s.card_nsmul_le_sum _ _ hm _ = ∑ b ∈ t, (s.bipartiteBelow r b).card := sum_card_bipartiteAbove_eq_sum_card_bipartiteBelow _ _ ≤ _ := t.sum_le_card_nsmul _ _ hn #align finset.card_mul_le_card_mul Finset.card_mul_le_card_mul theorem card_mul_le_card_mul' [∀ a b, Decidable (r a b)] (hn : ∀ b ∈ t, n ≤ (s.bipartiteBelow r b).card) (hm : ∀ a ∈ s, (t.bipartiteAbove r a).card ≤ m) : t.card * n ≤ s.card * m := card_mul_le_card_mul (swap r) hn hm #align finset.card_mul_le_card_mul' Finset.card_mul_le_card_mul' theorem card_mul_eq_card_mul [∀ a b, Decidable (r a b)] (hm : ∀ a ∈ s, (t.bipartiteAbove r a).card = m) (hn : ∀ b ∈ t, (s.bipartiteBelow r b).card = n) : s.card * m = t.card * n := (card_mul_le_card_mul _ (fun a ha ↦ (hm a ha).ge) fun b hb ↦ (hn b hb).le).antisymm <| card_mul_le_card_mul' _ (fun a ha ↦ (hn a ha).ge) fun b hb ↦ (hm b hb).le #align finset.card_mul_eq_card_mul Finset.card_mul_eq_card_mul
Mathlib/Combinatorics/Enumerative/DoubleCounting.lean
110
120
theorem card_le_card_of_forall_subsingleton (hs : ∀ a ∈ s, ∃ b, b ∈ t ∧ r a b) (ht : ∀ b ∈ t, ({ a ∈ s | r a b } : Set α).Subsingleton) : s.card ≤ t.card := by
classical rw [← mul_one s.card, ← mul_one t.card] exact card_mul_le_card_mul r (fun a h ↦ card_pos.2 (by rw [← coe_nonempty, coe_bipartiteAbove] exact hs _ h : (t.bipartiteAbove r a).Nonempty)) (fun b h ↦ card_le_one.2 (by simp_rw [mem_bipartiteBelow] exact ht _ h))
0
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.Finsupp.Defs import Mathlib.Data.Finset.Pairwise #align_import data.finsupp.big_operators from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" variable {ι M : Type*} [DecidableEq ι] theorem List.support_sum_subset [AddMonoid M] (l : List (ι →₀ M)) : l.sum.support ⊆ l.foldr (Finsupp.support · ⊔ ·) ∅ := by induction' l with hd tl IH · simp · simp only [List.sum_cons, Finset.union_comm] refine Finsupp.support_add.trans (Finset.union_subset_union ?_ IH) rfl #align list.support_sum_subset List.support_sum_subset theorem Multiset.support_sum_subset [AddCommMonoid M] (s : Multiset (ι →₀ M)) : s.sum.support ⊆ (s.map Finsupp.support).sup := by induction s using Quot.inductionOn simpa only [Multiset.quot_mk_to_coe'', Multiset.sum_coe, Multiset.map_coe, Multiset.sup_coe, List.foldr_map] using List.support_sum_subset _ #align multiset.support_sum_subset Multiset.support_sum_subset theorem Finset.support_sum_subset [AddCommMonoid M] (s : Finset (ι →₀ M)) : (s.sum id).support ⊆ Finset.sup s Finsupp.support := by classical convert Multiset.support_sum_subset s.1; simp #align finset.support_sum_subset Finset.support_sum_subset theorem List.mem_foldr_sup_support_iff [Zero M] {l : List (ι →₀ M)} {x : ι} : x ∈ l.foldr (Finsupp.support · ⊔ ·) ∅ ↔ ∃ f ∈ l, x ∈ f.support := by simp only [Finset.sup_eq_union, List.foldr_map, Finsupp.mem_support_iff, exists_prop] induction' l with hd tl IH · simp · simp only [foldr, Function.comp_apply, Finset.mem_union, Finsupp.mem_support_iff, ne_eq, IH, find?, mem_cons, exists_eq_or_imp] #align list.mem_foldr_sup_support_iff List.mem_foldr_sup_support_iff theorem Multiset.mem_sup_map_support_iff [Zero M] {s : Multiset (ι →₀ M)} {x : ι} : x ∈ (s.map Finsupp.support).sup ↔ ∃ f ∈ s, x ∈ f.support := Quot.inductionOn s fun _ ↦ by simpa only [Multiset.quot_mk_to_coe'', Multiset.map_coe, Multiset.sup_coe, List.foldr_map] using List.mem_foldr_sup_support_iff #align multiset.mem_sup_map_support_iff Multiset.mem_sup_map_support_iff theorem Finset.mem_sup_support_iff [Zero M] {s : Finset (ι →₀ M)} {x : ι} : x ∈ s.sup Finsupp.support ↔ ∃ f ∈ s, x ∈ f.support := Multiset.mem_sup_map_support_iff #align finset.mem_sup_support_iff Finset.mem_sup_support_iff
Mathlib/Data/Finsupp/BigOperators.lean
81
96
theorem List.support_sum_eq [AddMonoid M] (l : List (ι →₀ M)) (hl : l.Pairwise (_root_.Disjoint on Finsupp.support)) : l.sum.support = l.foldr (Finsupp.support · ⊔ ·) ∅ := by
induction' l with hd tl IH · simp · simp only [List.pairwise_cons] at hl simp only [List.sum_cons, List.foldr_cons, Function.comp_apply] rw [Finsupp.support_add_eq, IH hl.right, Finset.sup_eq_union] suffices _root_.Disjoint hd.support (tl.foldr (fun x y ↦ (Finsupp.support x ⊔ y)) ∅) by exact Finset.disjoint_of_subset_right (List.support_sum_subset _) this rw [← List.foldr_map, ← Finset.bot_eq_empty, List.foldr_sup_eq_sup_toFinset, Finset.disjoint_sup_right] intro f hf simp only [List.mem_toFinset, List.mem_map] at hf obtain ⟨f, hf, rfl⟩ := hf exact hl.left _ hf
0
import Mathlib.Analysis.SpecialFunctions.Exponential #align_import analysis.special_functions.trigonometric.series from "leanprover-community/mathlib"@"ccf84e0d918668460a34aa19d02fe2e0e2286da0" open NormedSpace open scoped Nat section SinCos theorem Complex.hasSum_cos' (z : ℂ) : HasSum (fun n : ℕ => (z * Complex.I) ^ (2 * n) / ↑(2 * n)!) (Complex.cos z) := by rw [Complex.cos, Complex.exp_eq_exp_ℂ] have := ((expSeries_div_hasSum_exp ℂ (z * Complex.I)).add (expSeries_div_hasSum_exp ℂ (-z * Complex.I))).div_const 2 replace := (Nat.divModEquiv 2).symm.hasSum_iff.mpr this dsimp [Function.comp_def] at this simp_rw [← mul_comm 2 _] at this refine this.prod_fiberwise fun k => ?_ dsimp only convert hasSum_fintype (_ : Fin 2 → ℂ) using 1 rw [Fin.sum_univ_two] simp_rw [Fin.val_zero, Fin.val_one, add_zero, pow_succ, pow_mul, mul_pow, neg_sq, ← two_mul, neg_mul, mul_neg, neg_div, add_right_neg, zero_div, add_zero, mul_div_cancel_left₀ _ (two_ne_zero : (2 : ℂ) ≠ 0)] #align complex.has_sum_cos' Complex.hasSum_cos' theorem Complex.hasSum_sin' (z : ℂ) : HasSum (fun n : ℕ => (z * Complex.I) ^ (2 * n + 1) / ↑(2 * n + 1)! / Complex.I) (Complex.sin z) := by rw [Complex.sin, Complex.exp_eq_exp_ℂ] have := (((expSeries_div_hasSum_exp ℂ (-z * Complex.I)).sub (expSeries_div_hasSum_exp ℂ (z * Complex.I))).mul_right Complex.I).div_const 2 replace := (Nat.divModEquiv 2).symm.hasSum_iff.mpr this dsimp [Function.comp_def] at this simp_rw [← mul_comm 2 _] at this refine this.prod_fiberwise fun k => ?_ dsimp only convert hasSum_fintype (_ : Fin 2 → ℂ) using 1 rw [Fin.sum_univ_two] simp_rw [Fin.val_zero, Fin.val_one, add_zero, pow_succ, pow_mul, mul_pow, neg_sq, sub_self, zero_mul, zero_div, zero_add, neg_mul, mul_neg, neg_div, ← neg_add', ← two_mul, neg_mul, neg_div, mul_assoc, mul_div_cancel_left₀ _ (two_ne_zero : (2 : ℂ) ≠ 0), Complex.div_I] #align complex.has_sum_sin' Complex.hasSum_sin' theorem Complex.hasSum_cos (z : ℂ) : HasSum (fun n : ℕ => (-1) ^ n * z ^ (2 * n) / ↑(2 * n)!) (Complex.cos z) := by convert Complex.hasSum_cos' z using 1 simp_rw [mul_pow, pow_mul, Complex.I_sq, mul_comm] #align complex.has_sum_cos Complex.hasSum_cos
Mathlib/Analysis/SpecialFunctions/Trigonometric/Series.lean
75
79
theorem Complex.hasSum_sin (z : ℂ) : HasSum (fun n : ℕ => (-1) ^ n * z ^ (2 * n + 1) / ↑(2 * n + 1)!) (Complex.sin z) := by
convert Complex.hasSum_sin' z using 1 simp_rw [mul_pow, pow_succ, pow_mul, Complex.I_sq, ← mul_assoc, mul_div_assoc, div_right_comm, div_self Complex.I_ne_zero, mul_comm _ ((-1 : ℂ) ^ _), mul_one_div, mul_div_assoc, mul_assoc]
0
import Mathlib.LinearAlgebra.Eigenspace.Basic import Mathlib.FieldTheory.IsAlgClosed.Spectrum #align_import linear_algebra.eigenspace.is_alg_closed from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1" open Set Function Module FiniteDimensional variable {K V : Type*} [Field K] [AddCommGroup V] [Module K V] namespace Module.End -- This is Lemma 5.21 of [axler2015], although we are no longer following that proof. theorem exists_eigenvalue [IsAlgClosed K] [FiniteDimensional K V] [Nontrivial V] (f : End K V) : ∃ c : K, f.HasEigenvalue c := by simp_rw [hasEigenvalue_iff_mem_spectrum] exact spectrum.nonempty_of_isAlgClosed_of_finiteDimensional K f #align module.End.exists_eigenvalue Module.End.exists_eigenvalue noncomputable instance [IsAlgClosed K] [FiniteDimensional K V] [Nontrivial V] (f : End K V) : Inhabited f.Eigenvalues := ⟨⟨f.exists_eigenvalue.choose, f.exists_eigenvalue.choose_spec⟩⟩ -- Lemma 8.21 of [axler2015]
Mathlib/LinearAlgebra/Eigenspace/Triangularizable.lean
64
123
theorem iSup_genEigenspace_eq_top [IsAlgClosed K] [FiniteDimensional K V] (f : End K V) : ⨆ (μ : K) (k : ℕ), f.genEigenspace μ k = ⊤ := by
-- We prove the claim by strong induction on the dimension of the vector space. induction' h_dim : finrank K V using Nat.strong_induction_on with n ih generalizing V cases' n with n -- If the vector space is 0-dimensional, the result is trivial. · rw [← top_le_iff] simp only [Submodule.finrank_eq_zero.1 (Eq.trans (finrank_top _ _) h_dim), bot_le] -- Otherwise the vector space is nontrivial. · haveI : Nontrivial V := finrank_pos_iff.1 (by rw [h_dim]; apply Nat.zero_lt_succ) -- Hence, `f` has an eigenvalue `μ₀`. obtain ⟨μ₀, hμ₀⟩ : ∃ μ₀, f.HasEigenvalue μ₀ := exists_eigenvalue f -- We define `ES` to be the generalized eigenspace let ES := f.genEigenspace μ₀ (finrank K V) -- and `ER` to be the generalized eigenrange. let ER := f.genEigenrange μ₀ (finrank K V) -- `f` maps `ER` into itself. have h_f_ER : ∀ x : V, x ∈ ER → f x ∈ ER := fun x hx => map_genEigenrange_le (Submodule.mem_map_of_mem hx) -- Therefore, we can define the restriction `f'` of `f` to `ER`. let f' : End K ER := f.restrict h_f_ER -- The dimension of `ES` is positive have h_dim_ES_pos : 0 < finrank K ES := by dsimp only [ES] rw [h_dim] apply pos_finrank_genEigenspace_of_hasEigenvalue hμ₀ (Nat.zero_lt_succ n) -- and the dimensions of `ES` and `ER` add up to `finrank K V`. have h_dim_add : finrank K ER + finrank K ES = finrank K V := by apply LinearMap.finrank_range_add_finrank_ker -- Therefore the dimension `ER` mus be smaller than `finrank K V`. have h_dim_ER : finrank K ER < n.succ := by linarith -- This allows us to apply the induction hypothesis on `ER`: have ih_ER : ⨆ (μ : K) (k : ℕ), f'.genEigenspace μ k = ⊤ := ih (finrank K ER) h_dim_ER f' rfl -- The induction hypothesis gives us a statement about subspaces of `ER`. We can transfer this -- to a statement about subspaces of `V` via `submodule.subtype`: have ih_ER' : ⨆ (μ : K) (k : ℕ), (f'.genEigenspace μ k).map ER.subtype = ER := by simp only [(Submodule.map_iSup _ _).symm, ih_ER, Submodule.map_subtype_top ER] -- Moreover, every generalized eigenspace of `f'` is contained in the corresponding generalized -- eigenspace of `f`. have hff' : ∀ μ k, (f'.genEigenspace μ k).map ER.subtype ≤ f.genEigenspace μ k := by intros rw [genEigenspace_restrict] apply Submodule.map_comap_le -- It follows that `ER` is contained in the span of all generalized eigenvectors. have hER : ER ≤ ⨆ (μ : K) (k : ℕ), f.genEigenspace μ k := by rw [← ih_ER'] exact iSup₂_mono hff' -- `ES` is contained in this span by definition. have hES : ES ≤ ⨆ (μ : K) (k : ℕ), f.genEigenspace μ k := le_trans (le_iSup (fun k => f.genEigenspace μ₀ k) (finrank K V)) (le_iSup (fun μ : K => ⨆ k : ℕ, f.genEigenspace μ k) μ₀) -- Moreover, we know that `ER` and `ES` are disjoint. have h_disjoint : Disjoint ER ES := generalized_eigenvec_disjoint_range_ker f μ₀ -- Since the dimensions of `ER` and `ES` add up to the dimension of `V`, it follows that the -- span of all generalized eigenvectors is all of `V`. show ⨆ (μ : K) (k : ℕ), f.genEigenspace μ k = ⊤ rw [← top_le_iff, ← Submodule.eq_top_of_disjoint ER ES h_dim_add h_disjoint] apply sup_le hER hES
0
import Mathlib.Topology.Perfect import Mathlib.Topology.MetricSpace.Polish import Mathlib.Topology.MetricSpace.CantorScheme #align_import topology.perfect from "leanprover-community/mathlib"@"3905fa80e62c0898131285baab35559fbc4e5cda" open Set Filter section CantorInjMetric open Function ENNReal variable {α : Type*} [MetricSpace α] {C : Set α} (hC : Perfect C) {ε : ℝ≥0∞} private theorem Perfect.small_diam_aux (ε_pos : 0 < ε) {x : α} (xC : x ∈ C) : let D := closure (EMetric.ball x (ε / 2) ∩ C) Perfect D ∧ D.Nonempty ∧ D ⊆ C ∧ EMetric.diam D ≤ ε := by have : x ∈ EMetric.ball x (ε / 2) := by apply EMetric.mem_ball_self rw [ENNReal.div_pos_iff] exact ⟨ne_of_gt ε_pos, by norm_num⟩ have := hC.closure_nhds_inter x xC this EMetric.isOpen_ball refine ⟨this.1, this.2, ?_, ?_⟩ · rw [IsClosed.closure_subset_iff hC.closed] apply inter_subset_right rw [EMetric.diam_closure] apply le_trans (EMetric.diam_mono inter_subset_left) convert EMetric.diam_ball (x := x) rw [mul_comm, ENNReal.div_mul_cancel] <;> norm_num variable (hnonempty : C.Nonempty) theorem Perfect.small_diam_splitting (ε_pos : 0 < ε) : ∃ C₀ C₁ : Set α, (Perfect C₀ ∧ C₀.Nonempty ∧ C₀ ⊆ C ∧ EMetric.diam C₀ ≤ ε) ∧ (Perfect C₁ ∧ C₁.Nonempty ∧ C₁ ⊆ C ∧ EMetric.diam C₁ ≤ ε) ∧ Disjoint C₀ C₁ := by rcases hC.splitting hnonempty with ⟨D₀, D₁, ⟨perf0, non0, sub0⟩, ⟨perf1, non1, sub1⟩, hdisj⟩ cases' non0 with x₀ hx₀ cases' non1 with x₁ hx₁ rcases perf0.small_diam_aux ε_pos hx₀ with ⟨perf0', non0', sub0', diam0⟩ rcases perf1.small_diam_aux ε_pos hx₁ with ⟨perf1', non1', sub1', diam1⟩ refine ⟨closure (EMetric.ball x₀ (ε / 2) ∩ D₀), closure (EMetric.ball x₁ (ε / 2) ∩ D₁), ⟨perf0', non0', sub0'.trans sub0, diam0⟩, ⟨perf1', non1', sub1'.trans sub1, diam1⟩, ?_⟩ apply Disjoint.mono _ _ hdisj <;> assumption #align perfect.small_diam_splitting Perfect.small_diam_splitting open CantorScheme
Mathlib/Topology/MetricSpace/Perfect.lean
80
129
theorem Perfect.exists_nat_bool_injection [CompleteSpace α] : ∃ f : (ℕ → Bool) → α, range f ⊆ C ∧ Continuous f ∧ Injective f := by
obtain ⟨u, -, upos', hu⟩ := exists_seq_strictAnti_tendsto' (zero_lt_one' ℝ≥0∞) have upos := fun n => (upos' n).1 let P := Subtype fun E : Set α => Perfect E ∧ E.Nonempty choose C0 C1 h0 h1 hdisj using fun {C : Set α} (hC : Perfect C) (hnonempty : C.Nonempty) {ε : ℝ≥0∞} (hε : 0 < ε) => hC.small_diam_splitting hnonempty hε let DP : List Bool → P := fun l => by induction' l with a l ih; · exact ⟨C, ⟨hC, hnonempty⟩⟩ cases a · use C0 ih.property.1 ih.property.2 (upos (l.length + 1)) exact ⟨(h0 _ _ _).1, (h0 _ _ _).2.1⟩ use C1 ih.property.1 ih.property.2 (upos (l.length + 1)) exact ⟨(h1 _ _ _).1, (h1 _ _ _).2.1⟩ let D : List Bool → Set α := fun l => (DP l).val have hanti : ClosureAntitone D := by refine Antitone.closureAntitone ?_ fun l => (DP l).property.1.closed intro l a cases a · exact (h0 _ _ _).2.2.1 exact (h1 _ _ _).2.2.1 have hdiam : VanishingDiam D := by intro x apply tendsto_of_tendsto_of_tendsto_of_le_of_le' tendsto_const_nhds hu · simp rw [eventually_atTop] refine ⟨1, fun m (hm : 1 ≤ m) => ?_⟩ rw [Nat.one_le_iff_ne_zero] at hm rcases Nat.exists_eq_succ_of_ne_zero hm with ⟨n, rfl⟩ dsimp cases x n · convert (h0 _ _ _).2.2.2 rw [PiNat.res_length] convert (h1 _ _ _).2.2.2 rw [PiNat.res_length] have hdisj' : CantorScheme.Disjoint D := by rintro l (a | a) (b | b) hab <;> try contradiction · exact hdisj _ _ _ exact (hdisj _ _ _).symm have hdom : ∀ {x : ℕ → Bool}, x ∈ (inducedMap D).1 := fun {x} => by rw [hanti.map_of_vanishingDiam hdiam fun l => (DP l).property.2] apply mem_univ refine ⟨fun x => (inducedMap D).2 ⟨x, hdom⟩, ?_, ?_, ?_⟩ · rintro y ⟨x, rfl⟩ exact map_mem ⟨_, hdom⟩ 0 · apply hdiam.map_continuous.comp continuity intro x y hxy simpa only [← Subtype.val_inj] using hdisj'.map_injective hxy
0
import Mathlib.Analysis.Calculus.ContDiff.Bounds import Mathlib.Analysis.Calculus.IteratedDeriv.Defs import Mathlib.Analysis.Calculus.LineDeriv.Basic import Mathlib.Analysis.LocallyConvex.WithSeminorms import Mathlib.Analysis.Normed.Group.ZeroAtInfty import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.Analysis.SpecialFunctions.JapaneseBracket import Mathlib.Topology.Algebra.UniformFilterBasis import Mathlib.Tactic.MoveAdd #align_import analysis.schwartz_space from "leanprover-community/mathlib"@"e137999b2c6f2be388f4cd3bbf8523de1910cd2b" noncomputable section open scoped Nat NNReal variable {𝕜 𝕜' D E F G V : Type*} variable [NormedAddCommGroup E] [NormedSpace ℝ E] variable [NormedAddCommGroup F] [NormedSpace ℝ F] variable (E F) structure SchwartzMap where toFun : E → F smooth' : ContDiff ℝ ⊤ toFun decay' : ∀ k n : ℕ, ∃ C : ℝ, ∀ x, ‖x‖ ^ k * ‖iteratedFDeriv ℝ n toFun x‖ ≤ C #align schwartz_map SchwartzMap scoped[SchwartzMap] notation "𝓢(" E ", " F ")" => SchwartzMap E F variable {E F} namespace SchwartzMap -- Porting note: removed -- instance : Coe 𝓢(E, F) (E → F) := ⟨toFun⟩ instance instFunLike : FunLike 𝓢(E, F) E F where coe f := f.toFun coe_injective' f g h := by cases f; cases g; congr #align schwartz_map.fun_like SchwartzMap.instFunLike instance instCoeFun : CoeFun 𝓢(E, F) fun _ => E → F := DFunLike.hasCoeToFun #align schwartz_map.has_coe_to_fun SchwartzMap.instCoeFun theorem decay (f : 𝓢(E, F)) (k n : ℕ) : ∃ C : ℝ, 0 < C ∧ ∀ x, ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ ≤ C := by rcases f.decay' k n with ⟨C, hC⟩ exact ⟨max C 1, by positivity, fun x => (hC x).trans (le_max_left _ _)⟩ #align schwartz_map.decay SchwartzMap.decay theorem smooth (f : 𝓢(E, F)) (n : ℕ∞) : ContDiff ℝ n f := f.smooth'.of_le le_top #align schwartz_map.smooth SchwartzMap.smooth @[continuity] protected theorem continuous (f : 𝓢(E, F)) : Continuous f := (f.smooth 0).continuous #align schwartz_map.continuous SchwartzMap.continuous instance instContinuousMapClass : ContinuousMapClass 𝓢(E, F) E F where map_continuous := SchwartzMap.continuous protected theorem differentiable (f : 𝓢(E, F)) : Differentiable ℝ f := (f.smooth 1).differentiable rfl.le #align schwartz_map.differentiable SchwartzMap.differentiable protected theorem differentiableAt (f : 𝓢(E, F)) {x : E} : DifferentiableAt ℝ f x := f.differentiable.differentiableAt #align schwartz_map.differentiable_at SchwartzMap.differentiableAt @[ext] theorem ext {f g : 𝓢(E, F)} (h : ∀ x, (f : E → F) x = g x) : f = g := DFunLike.ext f g h #align schwartz_map.ext SchwartzMap.ext section Aux theorem bounds_nonempty (k n : ℕ) (f : 𝓢(E, F)) : ∃ c : ℝ, c ∈ { c : ℝ | 0 ≤ c ∧ ∀ x : E, ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ ≤ c } := let ⟨M, hMp, hMb⟩ := f.decay k n ⟨M, le_of_lt hMp, hMb⟩ #align schwartz_map.bounds_nonempty SchwartzMap.bounds_nonempty theorem bounds_bddBelow (k n : ℕ) (f : 𝓢(E, F)) : BddBelow { c | 0 ≤ c ∧ ∀ x, ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ ≤ c } := ⟨0, fun _ ⟨hn, _⟩ => hn⟩ #align schwartz_map.bounds_bdd_below SchwartzMap.bounds_bddBelow theorem decay_add_le_aux (k n : ℕ) (f g : 𝓢(E, F)) (x : E) : ‖x‖ ^ k * ‖iteratedFDeriv ℝ n ((f : E → F) + (g : E → F)) x‖ ≤ ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ + ‖x‖ ^ k * ‖iteratedFDeriv ℝ n g x‖ := by rw [← mul_add] refine mul_le_mul_of_nonneg_left ?_ (by positivity) rw [iteratedFDeriv_add_apply (f.smooth _) (g.smooth _)] exact norm_add_le _ _ #align schwartz_map.decay_add_le_aux SchwartzMap.decay_add_le_aux theorem decay_neg_aux (k n : ℕ) (f : 𝓢(E, F)) (x : E) : ‖x‖ ^ k * ‖iteratedFDeriv ℝ n (-f : E → F) x‖ = ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ := by rw [iteratedFDeriv_neg_apply, norm_neg] #align schwartz_map.decay_neg_aux SchwartzMap.decay_neg_aux variable [NormedField 𝕜] [NormedSpace 𝕜 F] [SMulCommClass ℝ 𝕜 F]
Mathlib/Analysis/Distribution/SchwartzSpace.lean
210
214
theorem decay_smul_aux (k n : ℕ) (f : 𝓢(E, F)) (c : 𝕜) (x : E) : ‖x‖ ^ k * ‖iteratedFDeriv ℝ n (c • (f : E → F)) x‖ = ‖c‖ * ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ := by
rw [mul_comm ‖c‖, mul_assoc, iteratedFDeriv_const_smul_apply (f.smooth _), norm_smul c (iteratedFDeriv ℝ n (⇑f) x)]
0
import Mathlib.FieldTheory.Normal import Mathlib.FieldTheory.Perfect import Mathlib.RingTheory.Localization.Integral #align_import field_theory.is_alg_closed.basic from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a" universe u v w open scoped Classical Polynomial open Polynomial variable (k : Type u) [Field k] class IsAlgClosed : Prop where splits : ∀ p : k[X], p.Splits <| RingHom.id k #align is_alg_closed IsAlgClosed theorem IsAlgClosed.splits_codomain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : K →+* k} (p : K[X]) : p.Splits f := by convert IsAlgClosed.splits (p.map f); simp [splits_map_iff] #align is_alg_closed.splits_codomain IsAlgClosed.splits_codomain theorem IsAlgClosed.splits_domain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : k →+* K} (p : k[X]) : p.Splits f := Polynomial.splits_of_splits_id _ <| IsAlgClosed.splits _ #align is_alg_closed.splits_domain IsAlgClosed.splits_domain namespace IsAlgClosed variable {k} theorem exists_root [IsAlgClosed k] (p : k[X]) (hp : p.degree ≠ 0) : ∃ x, IsRoot p x := exists_root_of_splits _ (IsAlgClosed.splits p) hp #align is_alg_closed.exists_root IsAlgClosed.exists_root theorem exists_pow_nat_eq [IsAlgClosed k] (x : k) {n : ℕ} (hn : 0 < n) : ∃ z, z ^ n = x := by have : degree (X ^ n - C x) ≠ 0 := by rw [degree_X_pow_sub_C hn x] exact ne_of_gt (WithBot.coe_lt_coe.2 hn) obtain ⟨z, hz⟩ := exists_root (X ^ n - C x) this use z simp only [eval_C, eval_X, eval_pow, eval_sub, IsRoot.def] at hz exact sub_eq_zero.1 hz #align is_alg_closed.exists_pow_nat_eq IsAlgClosed.exists_pow_nat_eq theorem exists_eq_mul_self [IsAlgClosed k] (x : k) : ∃ z, x = z * z := by rcases exists_pow_nat_eq x zero_lt_two with ⟨z, rfl⟩ exact ⟨z, sq z⟩ #align is_alg_closed.exists_eq_mul_self IsAlgClosed.exists_eq_mul_self
Mathlib/FieldTheory/IsAlgClosed/Basic.lean
104
111
theorem roots_eq_zero_iff [IsAlgClosed k] {p : k[X]} : p.roots = 0 ↔ p = Polynomial.C (p.coeff 0) := by
refine ⟨fun h => ?_, fun hp => by rw [hp, roots_C]⟩ rcases le_or_lt (degree p) 0 with hd | hd · exact eq_C_of_degree_le_zero hd · obtain ⟨z, hz⟩ := IsAlgClosed.exists_root p hd.ne' rw [← mem_roots (ne_zero_of_degree_gt hd), h] at hz simp at hz
0
import Mathlib.CategoryTheory.Limits.Shapes.Equalizers import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks import Mathlib.CategoryTheory.Limits.Shapes.StrongEpi import Mathlib.CategoryTheory.MorphismProperty.Factorization #align_import category_theory.limits.shapes.images from "leanprover-community/mathlib"@"563aed347eb59dc4181cb732cda0d124d736eaa3" noncomputable section universe v u open CategoryTheory open CategoryTheory.Limits.WalkingParallelPair namespace CategoryTheory.Limits variable {C : Type u} [Category.{v} C] variable {X Y : C} (f : X ⟶ Y) structure MonoFactorisation (f : X ⟶ Y) where I : C -- Porting note: violates naming conventions but can't think a better replacement m : I ⟶ Y [m_mono : Mono m] e : X ⟶ I fac : e ≫ m = f := by aesop_cat #align category_theory.limits.mono_factorisation CategoryTheory.Limits.MonoFactorisation #align category_theory.limits.mono_factorisation.fac' CategoryTheory.Limits.MonoFactorisation.fac attribute [inherit_doc MonoFactorisation] MonoFactorisation.I MonoFactorisation.m MonoFactorisation.m_mono MonoFactorisation.e MonoFactorisation.fac attribute [reassoc (attr := simp)] MonoFactorisation.fac attribute [instance] MonoFactorisation.m_mono attribute [instance] MonoFactorisation.m_mono namespace MonoFactorisation def self [Mono f] : MonoFactorisation f where I := X m := f e := 𝟙 X #align category_theory.limits.mono_factorisation.self CategoryTheory.Limits.MonoFactorisation.self -- I'm not sure we really need this, but the linter says that an inhabited instance -- ought to exist... instance [Mono f] : Inhabited (MonoFactorisation f) := ⟨self f⟩ variable {f} @[ext]
Mathlib/CategoryTheory/Limits/Shapes/Images.lean
108
115
theorem ext {F F' : MonoFactorisation f} (hI : F.I = F'.I) (hm : F.m = eqToHom hI ≫ F'.m) : F = F' := by
cases' F with _ Fm _ _ Ffac; cases' F' with _ Fm' _ _ Ffac' cases' hI simp? at hm says simp only [eqToHom_refl, Category.id_comp] at hm congr apply (cancel_mono Fm).1 rw [Ffac, hm, Ffac']
0
import Mathlib.Analysis.InnerProductSpace.Projection import Mathlib.Analysis.NormedSpace.Dual import Mathlib.Analysis.NormedSpace.Star.Basic #align_import analysis.inner_product_space.dual from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped Classical open ComplexConjugate universe u v namespace InnerProductSpace open RCLike ContinuousLinearMap variable (𝕜 : Type*) variable (E : Type*) [RCLike 𝕜] [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] local notation "⟪" x ", " y "⟫" => @inner 𝕜 E _ x y local postfix:90 "†" => starRingEnd _ def toDualMap : E →ₗᵢ⋆[𝕜] NormedSpace.Dual 𝕜 E := { innerSL 𝕜 with norm_map' := innerSL_apply_norm _ } #align inner_product_space.to_dual_map InnerProductSpace.toDualMap variable {E} @[simp] theorem toDualMap_apply {x y : E} : toDualMap 𝕜 E x y = ⟪x, y⟫ := rfl #align inner_product_space.to_dual_map_apply InnerProductSpace.toDualMap_apply theorem innerSL_norm [Nontrivial E] : ‖(innerSL 𝕜 : E →L⋆[𝕜] E →L[𝕜] 𝕜)‖ = 1 := show ‖(toDualMap 𝕜 E).toContinuousLinearMap‖ = 1 from LinearIsometry.norm_toContinuousLinearMap _ set_option linter.uppercaseLean3 false in #align inner_product_space.innerSL_norm InnerProductSpace.innerSL_norm variable {𝕜}
Mathlib/Analysis/InnerProductSpace/Dual.lean
82
91
theorem ext_inner_left_basis {ι : Type*} {x y : E} (b : Basis ι 𝕜 E) (h : ∀ i : ι, ⟪b i, x⟫ = ⟪b i, y⟫) : x = y := by
apply (toDualMap 𝕜 E).map_eq_iff.mp refine (Function.Injective.eq_iff ContinuousLinearMap.coe_injective).mp (Basis.ext b ?_) intro i simp only [ContinuousLinearMap.coe_coe] rw [toDualMap_apply, toDualMap_apply] rw [← inner_conj_symm] conv_rhs => rw [← inner_conj_symm] exact congr_arg conj (h i)
0
import Mathlib.Algebra.MvPolynomial.PDeriv import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Derivative import Mathlib.Data.Nat.Choose.Sum import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.RingTheory.Polynomial.Pochhammer #align_import ring_theory.polynomial.bernstein from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821" noncomputable section open Nat (choose) open Polynomial (X) open scoped Polynomial variable (R : Type*) [CommRing R] def bernsteinPolynomial (n ν : ℕ) : R[X] := (choose n ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν) #align bernstein_polynomial bernsteinPolynomial example : bernsteinPolynomial ℤ 3 2 = 3 * X ^ 2 - 3 * X ^ 3 := by norm_num [bernsteinPolynomial, choose] ring namespace bernsteinPolynomial theorem eq_zero_of_lt {n ν : ℕ} (h : n < ν) : bernsteinPolynomial R n ν = 0 := by simp [bernsteinPolynomial, Nat.choose_eq_zero_of_lt h] #align bernstein_polynomial.eq_zero_of_lt bernsteinPolynomial.eq_zero_of_lt section variable {R} {S : Type*} [CommRing S] @[simp] theorem map (f : R →+* S) (n ν : ℕ) : (bernsteinPolynomial R n ν).map f = bernsteinPolynomial S n ν := by simp [bernsteinPolynomial] #align bernstein_polynomial.map bernsteinPolynomial.map end theorem flip (n ν : ℕ) (h : ν ≤ n) : (bernsteinPolynomial R n ν).comp (1 - X) = bernsteinPolynomial R n (n - ν) := by simp [bernsteinPolynomial, h, tsub_tsub_assoc, mul_right_comm] #align bernstein_polynomial.flip bernsteinPolynomial.flip theorem flip' (n ν : ℕ) (h : ν ≤ n) : bernsteinPolynomial R n ν = (bernsteinPolynomial R n (n - ν)).comp (1 - X) := by simp [← flip _ _ _ h, Polynomial.comp_assoc] #align bernstein_polynomial.flip' bernsteinPolynomial.flip' theorem eval_at_0 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 0 = if ν = 0 then 1 else 0 := by rw [bernsteinPolynomial] split_ifs with h · subst h; simp · simp [zero_pow h] #align bernstein_polynomial.eval_at_0 bernsteinPolynomial.eval_at_0
Mathlib/RingTheory/Polynomial/Bernstein.lean
93
99
theorem eval_at_1 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 1 = if ν = n then 1 else 0 := by
rw [bernsteinPolynomial] split_ifs with h · subst h; simp · obtain hνn | hnν := Ne.lt_or_lt h · simp [zero_pow $ Nat.sub_ne_zero_of_lt hνn] · simp [Nat.choose_eq_zero_of_lt hnν]
0
import Mathlib.Topology.ContinuousOn import Mathlib.Order.Minimal open Set Classical variable {X : Type*} {Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X} section Preirreducible def IsPreirreducible (s : Set X) : Prop := ∀ u v : Set X, IsOpen u → IsOpen v → (s ∩ u).Nonempty → (s ∩ v).Nonempty → (s ∩ (u ∩ v)).Nonempty #align is_preirreducible IsPreirreducible def IsIrreducible (s : Set X) : Prop := s.Nonempty ∧ IsPreirreducible s #align is_irreducible IsIrreducible theorem IsIrreducible.nonempty (h : IsIrreducible s) : s.Nonempty := h.1 #align is_irreducible.nonempty IsIrreducible.nonempty theorem IsIrreducible.isPreirreducible (h : IsIrreducible s) : IsPreirreducible s := h.2 #align is_irreducible.is_preirreducible IsIrreducible.isPreirreducible theorem isPreirreducible_empty : IsPreirreducible (∅ : Set X) := fun _ _ _ _ _ ⟨_, h1, _⟩ => h1.elim #align is_preirreducible_empty isPreirreducible_empty theorem Set.Subsingleton.isPreirreducible (hs : s.Subsingleton) : IsPreirreducible s := fun _u _v _ _ ⟨_x, hxs, hxu⟩ ⟨y, hys, hyv⟩ => ⟨y, hys, hs hxs hys ▸ hxu, hyv⟩ #align set.subsingleton.is_preirreducible Set.Subsingleton.isPreirreducible -- Porting note (#10756): new lemma theorem isPreirreducible_singleton {x} : IsPreirreducible ({x} : Set X) := subsingleton_singleton.isPreirreducible theorem isIrreducible_singleton {x} : IsIrreducible ({x} : Set X) := ⟨singleton_nonempty x, isPreirreducible_singleton⟩ #align is_irreducible_singleton isIrreducible_singleton theorem isPreirreducible_iff_closure : IsPreirreducible (closure s) ↔ IsPreirreducible s := forall₄_congr fun u v hu hv => by iterate 3 rw [closure_inter_open_nonempty_iff] exacts [hu.inter hv, hv, hu] #align is_preirreducible_iff_closure isPreirreducible_iff_closure theorem isIrreducible_iff_closure : IsIrreducible (closure s) ↔ IsIrreducible s := and_congr closure_nonempty_iff isPreirreducible_iff_closure #align is_irreducible_iff_closure isIrreducible_iff_closure protected alias ⟨_, IsPreirreducible.closure⟩ := isPreirreducible_iff_closure #align is_preirreducible.closure IsPreirreducible.closure protected alias ⟨_, IsIrreducible.closure⟩ := isIrreducible_iff_closure #align is_irreducible.closure IsIrreducible.closure theorem exists_preirreducible (s : Set X) (H : IsPreirreducible s) : ∃ t : Set X, IsPreirreducible t ∧ s ⊆ t ∧ ∀ u, IsPreirreducible u → t ⊆ u → u = t := let ⟨m, hm, hsm, hmm⟩ := zorn_subset_nonempty { t : Set X | IsPreirreducible t } (fun c hc hcc _ => ⟨⋃₀ c, fun u v hu hv ⟨y, hy, hyu⟩ ⟨x, hx, hxv⟩ => let ⟨p, hpc, hyp⟩ := mem_sUnion.1 hy let ⟨q, hqc, hxq⟩ := mem_sUnion.1 hx Or.casesOn (hcc.total hpc hqc) (fun hpq : p ⊆ q => let ⟨x, hxp, hxuv⟩ := hc hqc u v hu hv ⟨y, hpq hyp, hyu⟩ ⟨x, hxq, hxv⟩ ⟨x, mem_sUnion_of_mem hxp hqc, hxuv⟩) fun hqp : q ⊆ p => let ⟨x, hxp, hxuv⟩ := hc hpc u v hu hv ⟨y, hyp, hyu⟩ ⟨x, hqp hxq, hxv⟩ ⟨x, mem_sUnion_of_mem hxp hpc, hxuv⟩, fun _ hxc => subset_sUnion_of_mem hxc⟩) s H ⟨m, hm, hsm, fun _u hu hmu => hmm _ hu hmu⟩ #align exists_preirreducible exists_preirreducible def irreducibleComponents (X : Type*) [TopologicalSpace X] : Set (Set X) := maximals (· ≤ ·) { s : Set X | IsIrreducible s } #align irreducible_components irreducibleComponents
Mathlib/Topology/Irreducible.lean
112
115
theorem isClosed_of_mem_irreducibleComponents (s) (H : s ∈ irreducibleComponents X) : IsClosed s := by
rw [← closure_eq_iff_isClosed, eq_comm] exact subset_closure.antisymm (H.2 H.1.closure subset_closure)
0
import Mathlib.RingTheory.WittVector.Frobenius import Mathlib.RingTheory.WittVector.Verschiebung import Mathlib.RingTheory.WittVector.MulP #align_import ring_theory.witt_vector.identities from "leanprover-community/mathlib"@"0798037604b2d91748f9b43925fb7570a5f3256c" namespace WittVector variable {p : ℕ} {R : Type*} [hp : Fact p.Prime] [CommRing R] -- type as `\bbW` local notation "𝕎" => WittVector p noncomputable section -- Porting note: `ghost_calc` failure: `simp only []` and the manual instances had to be added. theorem frobenius_verschiebung (x : 𝕎 R) : frobenius (verschiebung x) = x * p := by have : IsPoly p fun {R} [CommRing R] x ↦ frobenius (verschiebung x) := IsPoly.comp (hg := frobenius_isPoly p) (hf := verschiebung_isPoly) have : IsPoly p fun {R} [CommRing R] x ↦ x * p := mulN_isPoly p p ghost_calc x ghost_simp [mul_comm] #align witt_vector.frobenius_verschiebung WittVector.frobenius_verschiebung theorem verschiebung_zmod (x : 𝕎 (ZMod p)) : verschiebung x = x * p := by rw [← frobenius_verschiebung, frobenius_zmodp] #align witt_vector.verschiebung_zmod WittVector.verschiebung_zmod variable (p R) theorem coeff_p_pow [CharP R p] (i : ℕ) : ((p : 𝕎 R) ^ i).coeff i = 1 := by induction' i with i h · simp only [Nat.zero_eq, one_coeff_zero, Ne, pow_zero] · rw [pow_succ, ← frobenius_verschiebung, coeff_frobenius_charP, verschiebung_coeff_succ, h, one_pow] #align witt_vector.coeff_p_pow WittVector.coeff_p_pow theorem coeff_p_pow_eq_zero [CharP R p] {i j : ℕ} (hj : j ≠ i) : ((p : 𝕎 R) ^ i).coeff j = 0 := by induction' i with i hi generalizing j · rw [pow_zero, one_coeff_eq_of_pos] exact Nat.pos_of_ne_zero hj · rw [pow_succ, ← frobenius_verschiebung, coeff_frobenius_charP] cases j · rw [verschiebung_coeff_zero, zero_pow hp.out.ne_zero] · rw [verschiebung_coeff_succ, hi (ne_of_apply_ne _ hj), zero_pow hp.out.ne_zero] #align witt_vector.coeff_p_pow_eq_zero WittVector.coeff_p_pow_eq_zero theorem coeff_p [CharP R p] (i : ℕ) : (p : 𝕎 R).coeff i = if i = 1 then 1 else 0 := by split_ifs with hi · simpa only [hi, pow_one] using coeff_p_pow p R 1 · simpa only [pow_one] using coeff_p_pow_eq_zero p R hi #align witt_vector.coeff_p WittVector.coeff_p @[simp] theorem coeff_p_zero [CharP R p] : (p : 𝕎 R).coeff 0 = 0 := by rw [coeff_p, if_neg] exact zero_ne_one #align witt_vector.coeff_p_zero WittVector.coeff_p_zero @[simp] theorem coeff_p_one [CharP R p] : (p : 𝕎 R).coeff 1 = 1 := by rw [coeff_p, if_pos rfl] #align witt_vector.coeff_p_one WittVector.coeff_p_one theorem p_nonzero [Nontrivial R] [CharP R p] : (p : 𝕎 R) ≠ 0 := by intro h simpa only [h, zero_coeff, zero_ne_one] using coeff_p_one p R #align witt_vector.p_nonzero WittVector.p_nonzero theorem FractionRing.p_nonzero [Nontrivial R] [CharP R p] : (p : FractionRing (𝕎 R)) ≠ 0 := by simpa using (IsFractionRing.injective (𝕎 R) (FractionRing (𝕎 R))).ne (WittVector.p_nonzero _ _) #align witt_vector.fraction_ring.p_nonzero WittVector.FractionRing.p_nonzero variable {p R} -- Porting note: `ghost_calc` failure: `simp only []` and the manual instances had to be added.
Mathlib/RingTheory/WittVector/Identities.lean
103
111
theorem verschiebung_mul_frobenius (x y : 𝕎 R) : verschiebung (x * frobenius y) = verschiebung x * y := by
have : IsPoly₂ p fun {R} [Rcr : CommRing R] x y ↦ verschiebung (x * frobenius y) := IsPoly.comp₂ (hg := verschiebung_isPoly) (hf := IsPoly₂.comp (hh := mulIsPoly₂) (hf := idIsPolyI' p) (hg := frobenius_isPoly p)) have : IsPoly₂ p fun {R} [CommRing R] x y ↦ verschiebung x * y := IsPoly₂.comp (hh := mulIsPoly₂) (hf := verschiebung_isPoly) (hg := idIsPolyI' p) ghost_calc x y rintro ⟨⟩ <;> ghost_simp [mul_assoc]
0
import Mathlib.MeasureTheory.Constructions.Prod.Basic import Mathlib.MeasureTheory.Group.Measure import Mathlib.Topology.Constructions #align_import measure_theory.constructions.pi from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open Function Set MeasureTheory.OuterMeasure Filter MeasurableSpace Encodable open scoped Classical Topology ENNReal universe u v variable {ι ι' : Type*} {α : ι → Type*} theorem IsPiSystem.pi {C : ∀ i, Set (Set (α i))} (hC : ∀ i, IsPiSystem (C i)) : IsPiSystem (pi univ '' pi univ C) := by rintro _ ⟨s₁, hs₁, rfl⟩ _ ⟨s₂, hs₂, rfl⟩ hst rw [← pi_inter_distrib] at hst ⊢; rw [univ_pi_nonempty_iff] at hst exact mem_image_of_mem _ fun i _ => hC i _ (hs₁ i (mem_univ i)) _ (hs₂ i (mem_univ i)) (hst i) #align is_pi_system.pi IsPiSystem.pi theorem isPiSystem_pi [∀ i, MeasurableSpace (α i)] : IsPiSystem (pi univ '' pi univ fun i => { s : Set (α i) | MeasurableSet s }) := IsPiSystem.pi fun _ => isPiSystem_measurableSet #align is_pi_system_pi isPiSystem_pi section Finite variable [Finite ι] [Finite ι']
Mathlib/MeasureTheory/Constructions/Pi.lean
87
95
theorem IsCountablySpanning.pi {C : ∀ i, Set (Set (α i))} (hC : ∀ i, IsCountablySpanning (C i)) : IsCountablySpanning (pi univ '' pi univ C) := by
choose s h1s h2s using hC cases nonempty_encodable (ι → ℕ) let e : ℕ → ι → ℕ := fun n => (@decode (ι → ℕ) _ n).iget refine ⟨fun n => Set.pi univ fun i => s i (e n i), fun n => mem_image_of_mem _ fun i _ => h1s i _, ?_⟩ simp_rw [(surjective_decode_iget (ι → ℕ)).iUnion_comp fun x => Set.pi univ fun i => s i (x i), iUnion_univ_pi s, h2s, pi_univ]
0
import Mathlib.Algebra.Algebra.Quasispectrum import Mathlib.Algebra.Algebra.Spectrum import Mathlib.Algebra.Star.Order import Mathlib.Topology.Algebra.Polynomial import Mathlib.Topology.ContinuousFunction.Algebra section Basic class ContinuousFunctionalCalculus (R : Type*) {A : Type*} (p : outParam (A → Prop)) [CommSemiring R] [StarRing R] [MetricSpace R] [TopologicalSemiring R] [ContinuousStar R] [Ring A] [StarRing A] [TopologicalSpace A] [Algebra R A] : Prop where exists_cfc_of_predicate : ∀ a, p a → ∃ φ : C(spectrum R a, R) →⋆ₐ[R] A, ClosedEmbedding φ ∧ φ ((ContinuousMap.id R).restrict <| spectrum R a) = a ∧ (∀ f, spectrum R (φ f) = Set.range f) ∧ ∀ f, p (φ f) class UniqueContinuousFunctionalCalculus (R A : Type*) [CommSemiring R] [StarRing R] [MetricSpace R] [TopologicalSemiring R] [ContinuousStar R] [Ring A] [StarRing A] [TopologicalSpace A] [Algebra R A] : Prop where eq_of_continuous_of_map_id (s : Set R) [CompactSpace s] (φ ψ : C(s, R) →⋆ₐ[R] A) (hφ : Continuous φ) (hψ : Continuous ψ) (h : φ (.restrict s <| .id R) = ψ (.restrict s <| .id R)) : φ = ψ compactSpace_spectrum (a : A) : CompactSpace (spectrum R a) variable {R A : Type*} {p : A → Prop} [CommSemiring R] [StarRing R] [MetricSpace R] variable [TopologicalSemiring R] [ContinuousStar R] [TopologicalSpace A] [Ring A] [StarRing A] variable [Algebra R A] [ContinuousFunctionalCalculus R p] lemma StarAlgHom.ext_continuousMap [UniqueContinuousFunctionalCalculus R A] (a : A) (φ ψ : C(spectrum R a, R) →⋆ₐ[R] A) (hφ : Continuous φ) (hψ : Continuous ψ) (h : φ (.restrict (spectrum R a) <| .id R) = ψ (.restrict (spectrum R a) <| .id R)) : φ = ψ := have := UniqueContinuousFunctionalCalculus.compactSpace_spectrum (R := R) a UniqueContinuousFunctionalCalculus.eq_of_continuous_of_map_id (spectrum R a) φ ψ hφ hψ h section cfcHom variable {a : A} (ha : p a) -- Note: since `spectrum R a` is closed, we may always extend `f : C(spectrum R a, R)` to a function -- of type `C(R, R)` by the Tietze extension theorem (assuming `R` is either `ℝ`, `ℂ` or `ℝ≥0`). noncomputable def cfcHom : C(spectrum R a, R) →⋆ₐ[R] A := (ContinuousFunctionalCalculus.exists_cfc_of_predicate a ha).choose lemma cfcHom_closedEmbedding : ClosedEmbedding <| (cfcHom ha : C(spectrum R a, R) →⋆ₐ[R] A) := (ContinuousFunctionalCalculus.exists_cfc_of_predicate a ha).choose_spec.1 lemma cfcHom_id : cfcHom ha ((ContinuousMap.id R).restrict <| spectrum R a) = a := (ContinuousFunctionalCalculus.exists_cfc_of_predicate a ha).choose_spec.2.1 lemma cfcHom_map_spectrum (f : C(spectrum R a, R)) : spectrum R (cfcHom ha f) = Set.range f := (ContinuousFunctionalCalculus.exists_cfc_of_predicate a ha).choose_spec.2.2.1 f lemma cfcHom_predicate (f : C(spectrum R a, R)) : p (cfcHom ha f) := (ContinuousFunctionalCalculus.exists_cfc_of_predicate a ha).choose_spec.2.2.2 f lemma cfcHom_eq_of_continuous_of_map_id [UniqueContinuousFunctionalCalculus R A] (φ : C(spectrum R a, R) →⋆ₐ[R] A) (hφ₁ : Continuous φ) (hφ₂ : φ (.restrict (spectrum R a) <| .id R) = a) : cfcHom ha = φ := (cfcHom ha).ext_continuousMap a φ (cfcHom_closedEmbedding ha).continuous hφ₁ <| by rw [cfcHom_id ha, hφ₂]
Mathlib/Topology/ContinuousFunction/FunctionalCalculus.lean
243
255
theorem cfcHom_comp [UniqueContinuousFunctionalCalculus R A] (f : C(spectrum R a, R)) (f' : C(spectrum R a, spectrum R (cfcHom ha f))) (hff' : ∀ x, f x = f' x) (g : C(spectrum R (cfcHom ha f), R)) : cfcHom ha (g.comp f') = cfcHom (cfcHom_predicate ha f) g := by
let φ : C(spectrum R (cfcHom ha f), R) →⋆ₐ[R] A := (cfcHom ha).comp <| ContinuousMap.compStarAlgHom' R R f' suffices cfcHom (cfcHom_predicate ha f) = φ from DFunLike.congr_fun this.symm g refine cfcHom_eq_of_continuous_of_map_id (cfcHom_predicate ha f) φ ?_ ?_ · exact (cfcHom_closedEmbedding ha).continuous.comp f'.continuous_comp_left · simp only [φ, StarAlgHom.comp_apply, ContinuousMap.compStarAlgHom'_apply] congr ext x simp [hff']
0
import Mathlib.MeasureTheory.Measure.Dirac set_option autoImplicit true open Set open scoped ENNReal Classical variable [MeasurableSpace α] [MeasurableSpace β] {s : Set α} noncomputable section namespace MeasureTheory.Measure def count : Measure α := sum dirac #align measure_theory.measure.count MeasureTheory.Measure.count theorem le_count_apply : ∑' _ : s, (1 : ℝ≥0∞) ≤ count s := calc (∑' _ : s, 1 : ℝ≥0∞) = ∑' i, indicator s 1 i := tsum_subtype s 1 _ ≤ ∑' i, dirac i s := ENNReal.tsum_le_tsum fun _ => le_dirac_apply _ ≤ count s := le_sum_apply _ _ #align measure_theory.measure.le_count_apply MeasureTheory.Measure.le_count_apply theorem count_apply (hs : MeasurableSet s) : count s = ∑' i : s, 1 := by simp only [count, sum_apply, hs, dirac_apply', ← tsum_subtype s (1 : α → ℝ≥0∞), Pi.one_apply] #align measure_theory.measure.count_apply MeasureTheory.Measure.count_apply -- @[simp] -- Porting note (#10618): simp can prove this theorem count_empty : count (∅ : Set α) = 0 := by rw [count_apply MeasurableSet.empty, tsum_empty] #align measure_theory.measure.count_empty MeasureTheory.Measure.count_empty @[simp] theorem count_apply_finset' {s : Finset α} (s_mble : MeasurableSet (s : Set α)) : count (↑s : Set α) = s.card := calc count (↑s : Set α) = ∑' i : (↑s : Set α), 1 := count_apply s_mble _ = ∑ i ∈ s, 1 := s.tsum_subtype 1 _ = s.card := by simp #align measure_theory.measure.count_apply_finset' MeasureTheory.Measure.count_apply_finset' @[simp] theorem count_apply_finset [MeasurableSingletonClass α] (s : Finset α) : count (↑s : Set α) = s.card := count_apply_finset' s.measurableSet #align measure_theory.measure.count_apply_finset MeasureTheory.Measure.count_apply_finset theorem count_apply_finite' {s : Set α} (s_fin : s.Finite) (s_mble : MeasurableSet s) : count s = s_fin.toFinset.card := by simp [← @count_apply_finset' _ _ s_fin.toFinset (by simpa only [Finite.coe_toFinset] using s_mble)] #align measure_theory.measure.count_apply_finite' MeasureTheory.Measure.count_apply_finite' theorem count_apply_finite [MeasurableSingletonClass α] (s : Set α) (hs : s.Finite) : count s = hs.toFinset.card := by rw [← count_apply_finset, Finite.coe_toFinset] #align measure_theory.measure.count_apply_finite MeasureTheory.Measure.count_apply_finite theorem count_apply_infinite (hs : s.Infinite) : count s = ∞ := by refine top_unique (le_of_tendsto' ENNReal.tendsto_nat_nhds_top fun n => ?_) rcases hs.exists_subset_card_eq n with ⟨t, ht, rfl⟩ calc (t.card : ℝ≥0∞) = ∑ i ∈ t, 1 := by simp _ = ∑' i : (t : Set α), 1 := (t.tsum_subtype 1).symm _ ≤ count (t : Set α) := le_count_apply _ ≤ count s := measure_mono ht #align measure_theory.measure.count_apply_infinite MeasureTheory.Measure.count_apply_infinite @[simp] theorem count_apply_eq_top' (s_mble : MeasurableSet s) : count s = ∞ ↔ s.Infinite := by by_cases hs : s.Finite · simp [Set.Infinite, hs, count_apply_finite' hs s_mble] · change s.Infinite at hs simp [hs, count_apply_infinite] #align measure_theory.measure.count_apply_eq_top' MeasureTheory.Measure.count_apply_eq_top' @[simp] theorem count_apply_eq_top [MeasurableSingletonClass α] : count s = ∞ ↔ s.Infinite := by by_cases hs : s.Finite · exact count_apply_eq_top' hs.measurableSet · change s.Infinite at hs simp [hs, count_apply_infinite] #align measure_theory.measure.count_apply_eq_top MeasureTheory.Measure.count_apply_eq_top @[simp] theorem count_apply_lt_top' (s_mble : MeasurableSet s) : count s < ∞ ↔ s.Finite := calc count s < ∞ ↔ count s ≠ ∞ := lt_top_iff_ne_top _ ↔ ¬s.Infinite := not_congr (count_apply_eq_top' s_mble) _ ↔ s.Finite := Classical.not_not #align measure_theory.measure.count_apply_lt_top' MeasureTheory.Measure.count_apply_lt_top' @[simp] theorem count_apply_lt_top [MeasurableSingletonClass α] : count s < ∞ ↔ s.Finite := calc count s < ∞ ↔ count s ≠ ∞ := lt_top_iff_ne_top _ ↔ ¬s.Infinite := not_congr count_apply_eq_top _ ↔ s.Finite := Classical.not_not #align measure_theory.measure.count_apply_lt_top MeasureTheory.Measure.count_apply_lt_top
Mathlib/MeasureTheory/Measure/Count.lean
115
119
theorem empty_of_count_eq_zero' (s_mble : MeasurableSet s) (hsc : count s = 0) : s = ∅ := by
have hs : s.Finite := by rw [← count_apply_lt_top' s_mble, hsc] exact WithTop.zero_lt_top simpa [count_apply_finite' hs s_mble] using hsc
0
import Mathlib.CategoryTheory.PathCategory import Mathlib.CategoryTheory.Functor.FullyFaithful import Mathlib.CategoryTheory.Bicategory.Free import Mathlib.CategoryTheory.Bicategory.LocallyDiscrete #align_import category_theory.bicategory.coherence from "leanprover-community/mathlib"@"f187f1074fa1857c94589cc653c786cadc4c35ff" open Quiver (Path) open Quiver.Path namespace CategoryTheory open Bicategory Category universe v u namespace FreeBicategory variable {B : Type u} [Quiver.{v + 1} B] @[simp] def inclusionPathAux {a : B} : ∀ {b : B}, Path a b → Hom a b | _, nil => Hom.id a | _, cons p f => (inclusionPathAux p).comp (Hom.of f) #align category_theory.free_bicategory.inclusion_path_aux CategoryTheory.FreeBicategory.inclusionPathAux local instance homCategory' (a b : B) : Category (Hom a b) := homCategory a b def inclusionPath (a b : B) : Discrete (Path.{v + 1} a b) ⥤ Hom a b := Discrete.functor inclusionPathAux #align category_theory.free_bicategory.inclusion_path CategoryTheory.FreeBicategory.inclusionPath def preinclusion (B : Type u) [Quiver.{v + 1} B] : PrelaxFunctor (LocallyDiscrete (Paths B)) (FreeBicategory B) where obj a := a.as map := @fun a b f => (@inclusionPath B _ a.as b.as).obj f map₂ η := (inclusionPath _ _).map η #align category_theory.free_bicategory.preinclusion CategoryTheory.FreeBicategory.preinclusion @[simp] theorem preinclusion_obj (a : B) : (preinclusion B).obj ⟨a⟩ = a := rfl #align category_theory.free_bicategory.preinclusion_obj CategoryTheory.FreeBicategory.preinclusion_obj @[simp] theorem preinclusion_map₂ {a b : B} (f g : Discrete (Path.{v + 1} a b)) (η : f ⟶ g) : (preinclusion B).map₂ η = eqToHom (congr_arg _ (Discrete.ext _ _ (Discrete.eq_of_hom η))) := by rcases η with ⟨⟨⟩⟩ cases Discrete.ext _ _ (by assumption) convert (inclusionPath a b).map_id _ #align category_theory.free_bicategory.preinclusion_map₂ CategoryTheory.FreeBicategory.preinclusion_map₂ @[simp] def normalizeAux {a : B} : ∀ {b c : B}, Path a b → Hom b c → Path a c | _, _, p, Hom.of f => p.cons f | _, _, p, Hom.id _ => p | _, _, p, Hom.comp f g => normalizeAux (normalizeAux p f) g #align category_theory.free_bicategory.normalize_aux CategoryTheory.FreeBicategory.normalizeAux @[simp] def normalizeIso {a : B} : ∀ {b c : B} (p : Path a b) (f : Hom b c), (preinclusion B).map ⟨p⟩ ≫ f ≅ (preinclusion B).map ⟨normalizeAux p f⟩ | _, _, _, Hom.of _ => Iso.refl _ | _, _, _, Hom.id b => ρ_ _ | _, _, p, Hom.comp f g => (α_ _ _ _).symm ≪≫ whiskerRightIso (normalizeIso p f) g ≪≫ normalizeIso (normalizeAux p f) g #align category_theory.free_bicategory.normalize_iso CategoryTheory.FreeBicategory.normalizeIso theorem normalizeAux_congr {a b c : B} (p : Path a b) {f g : Hom b c} (η : f ⟶ g) : normalizeAux p f = normalizeAux p g := by rcases η with ⟨η'⟩ apply @congr_fun _ _ fun p => normalizeAux p f clear p η induction η' with | vcomp _ _ _ _ => apply Eq.trans <;> assumption | whisker_left _ _ ih => funext; apply congr_fun ih | whisker_right _ _ ih => funext; apply congr_arg₂ _ (congr_fun ih _) rfl | _ => funext; rfl #align category_theory.free_bicategory.normalize_aux_congr CategoryTheory.FreeBicategory.normalizeAux_congr
Mathlib/CategoryTheory/Bicategory/Coherence.lean
161
183
theorem normalize_naturality {a b c : B} (p : Path a b) {f g : Hom b c} (η : f ⟶ g) : (preinclusion B).map ⟨p⟩ ◁ η ≫ (normalizeIso p g).hom = (normalizeIso p f).hom ≫ (preinclusion B).map₂ (eqToHom (Discrete.ext _ _ (normalizeAux_congr p η))) := by
rcases η with ⟨η'⟩; clear η; induction η' with | id => simp | vcomp η θ ihf ihg => simp only [mk_vcomp, Bicategory.whiskerLeft_comp] slice_lhs 2 3 => rw [ihg] slice_lhs 1 2 => rw [ihf] simp -- p ≠ nil required! See the docstring of `normalizeAux`. | whisker_left _ _ ih => dsimp rw [associator_inv_naturality_right_assoc, whisker_exchange_assoc, ih] simp | whisker_right h η' ih => dsimp rw [associator_inv_naturality_middle_assoc, ← comp_whiskerRight_assoc, ih, comp_whiskerRight] have := dcongr_arg (fun x => (normalizeIso x h).hom) (normalizeAux_congr p (Quot.mk _ η')) dsimp at this; simp [this] | _ => simp
0
import Mathlib.Algebra.Module.Submodule.Lattice import Mathlib.Data.ZMod.Basic import Mathlib.Order.OmegaCompletePartialOrder variable {n : ℕ} {M M₁ : Type*} abbrev AddCommMonoid.zmodModule [NeZero n] [AddCommMonoid M] (h : ∀ (x : M), n • x = 0) : Module (ZMod n) M := by have h_mod (c : ℕ) (x : M) : (c % n) • x = c • x := by suffices (c % n + c / n * n) • x = c • x by rwa [add_nsmul, mul_nsmul, h, add_zero] at this rw [Nat.mod_add_div'] have := NeZero.ne n match n with | n + 1 => exact { smul := fun (c : Fin _) x ↦ c.val • x smul_zero := fun _ ↦ nsmul_zero _ zero_smul := fun _ ↦ zero_nsmul _ smul_add := fun _ _ _ ↦ nsmul_add _ _ _ one_smul := fun _ ↦ (h_mod _ _).trans <| one_nsmul _ add_smul := fun _ _ _ ↦ (h_mod _ _).trans <| add_nsmul _ _ _ mul_smul := fun _ _ _ ↦ (h_mod _ _).trans <| mul_nsmul' _ _ _ } abbrev AddCommGroup.zmodModule {G : Type*} [AddCommGroup G] (h : ∀ (x : G), n • x = 0) : Module (ZMod n) G := match n with | 0 => AddCommGroup.intModule G | _ + 1 => AddCommMonoid.zmodModule h variable {F S : Type*} [AddCommGroup M] [AddCommGroup M₁] [FunLike F M M₁] [AddMonoidHomClass F M M₁] [Module (ZMod n) M] [Module (ZMod n) M₁] [SetLike S M] [AddSubgroupClass S M] {x : M} {K : S} namespace ZMod
Mathlib/Data/ZMod/Module.lean
50
52
theorem map_smul (f : F) (c : ZMod n) (x : M) : f (c • x) = c • f x := by
rw [← ZMod.intCast_zmod_cast c] exact map_intCast_smul f _ _ (cast c) x
0
import Mathlib.Analysis.Calculus.MeanValue import Mathlib.Analysis.Calculus.Deriv.Inv #align_import analysis.calculus.lhopital from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open Filter Set open scoped Filter Topology Pointwise variable {a b : ℝ} (hab : a < b) {l : Filter ℝ} {f f' g g' : ℝ → ℝ} namespace HasDerivAt
Mathlib/Analysis/Calculus/LHopital.lean
51
92
theorem lhopital_zero_right_on_Ioo (hff' : ∀ x ∈ Ioo a b, HasDerivAt f (f' x) x) (hgg' : ∀ x ∈ Ioo a b, HasDerivAt g (g' x) x) (hg' : ∀ x ∈ Ioo a b, g' x ≠ 0) (hfa : Tendsto f (𝓝[>] a) (𝓝 0)) (hga : Tendsto g (𝓝[>] a) (𝓝 0)) (hdiv : Tendsto (fun x => f' x / g' x) (𝓝[>] a) l) : Tendsto (fun x => f x / g x) (𝓝[>] a) l := by
have sub : ∀ x ∈ Ioo a b, Ioo a x ⊆ Ioo a b := fun x hx => Ioo_subset_Ioo (le_refl a) (le_of_lt hx.2) have hg : ∀ x ∈ Ioo a b, g x ≠ 0 := by intro x hx h have : Tendsto g (𝓝[<] x) (𝓝 0) := by rw [← h, ← nhdsWithin_Ioo_eq_nhdsWithin_Iio hx.1] exact ((hgg' x hx).continuousAt.continuousWithinAt.mono <| sub x hx).tendsto obtain ⟨y, hyx, hy⟩ : ∃ c ∈ Ioo a x, g' c = 0 := exists_hasDerivAt_eq_zero' hx.1 hga this fun y hy => hgg' y <| sub x hx hy exact hg' y (sub x hx hyx) hy have : ∀ x ∈ Ioo a b, ∃ c ∈ Ioo a x, f x * g' c = g x * f' c := by intro x hx rw [← sub_zero (f x), ← sub_zero (g x)] exact exists_ratio_hasDerivAt_eq_ratio_slope' g g' hx.1 f f' (fun y hy => hgg' y <| sub x hx hy) (fun y hy => hff' y <| sub x hx hy) hga hfa (tendsto_nhdsWithin_of_tendsto_nhds (hgg' x hx).continuousAt.tendsto) (tendsto_nhdsWithin_of_tendsto_nhds (hff' x hx).continuousAt.tendsto) choose! c hc using this have : ∀ x ∈ Ioo a b, ((fun x' => f' x' / g' x') ∘ c) x = f x / g x := by intro x hx rcases hc x hx with ⟨h₁, h₂⟩ field_simp [hg x hx, hg' (c x) ((sub x hx) h₁)] simp only [h₂] rw [mul_comm] have cmp : ∀ x ∈ Ioo a b, a < c x ∧ c x < x := fun x hx => (hc x hx).1 rw [← nhdsWithin_Ioo_eq_nhdsWithin_Ioi hab] apply tendsto_nhdsWithin_congr this apply hdiv.comp refine tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ (tendsto_of_tendsto_of_tendsto_of_le_of_le' tendsto_const_nhds (tendsto_nhdsWithin_of_tendsto_nhds tendsto_id) ?_ ?_) ?_ all_goals apply eventually_nhdsWithin_of_forall intro x hx have := cmp x hx try simp linarith [this]
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import Mathlib.Topology.Constructions import Mathlib.Topology.ContinuousOn #align_import topology.bases from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" open Set Filter Function Topology noncomputable section namespace TopologicalSpace universe u variable {α : Type u} {β : Type*} [t : TopologicalSpace α] {B : Set (Set α)} {s : Set α} structure IsTopologicalBasis (s : Set (Set α)) : Prop where exists_subset_inter : ∀ t₁ ∈ s, ∀ t₂ ∈ s, ∀ x ∈ t₁ ∩ t₂, ∃ t₃ ∈ s, x ∈ t₃ ∧ t₃ ⊆ t₁ ∩ t₂ sUnion_eq : ⋃₀ s = univ eq_generateFrom : t = generateFrom s #align topological_space.is_topological_basis TopologicalSpace.IsTopologicalBasis theorem IsTopologicalBasis.insert_empty {s : Set (Set α)} (h : IsTopologicalBasis s) : IsTopologicalBasis (insert ∅ s) := by refine ⟨?_, by rw [sUnion_insert, empty_union, h.sUnion_eq], ?_⟩ · rintro t₁ (rfl | h₁) t₂ (rfl | h₂) x ⟨hx₁, hx₂⟩ · cases hx₁ · cases hx₁ · cases hx₂ · obtain ⟨t₃, h₃, hs⟩ := h.exists_subset_inter _ h₁ _ h₂ x ⟨hx₁, hx₂⟩ exact ⟨t₃, .inr h₃, hs⟩ · rw [h.eq_generateFrom] refine le_antisymm (le_generateFrom fun t => ?_) (generateFrom_anti <| subset_insert ∅ s) rintro (rfl | ht) · exact @isOpen_empty _ (generateFrom s) · exact .basic t ht #align topological_space.is_topological_basis.insert_empty TopologicalSpace.IsTopologicalBasis.insert_empty theorem IsTopologicalBasis.diff_empty {s : Set (Set α)} (h : IsTopologicalBasis s) : IsTopologicalBasis (s \ {∅}) := by refine ⟨?_, by rw [sUnion_diff_singleton_empty, h.sUnion_eq], ?_⟩ · rintro t₁ ⟨h₁, -⟩ t₂ ⟨h₂, -⟩ x hx obtain ⟨t₃, h₃, hs⟩ := h.exists_subset_inter _ h₁ _ h₂ x hx exact ⟨t₃, ⟨h₃, Nonempty.ne_empty ⟨x, hs.1⟩⟩, hs⟩ · rw [h.eq_generateFrom] refine le_antisymm (generateFrom_anti diff_subset) (le_generateFrom fun t ht => ?_) obtain rfl | he := eq_or_ne t ∅ · exact @isOpen_empty _ (generateFrom _) · exact .basic t ⟨ht, he⟩ #align topological_space.is_topological_basis.diff_empty TopologicalSpace.IsTopologicalBasis.diff_empty theorem isTopologicalBasis_of_subbasis {s : Set (Set α)} (hs : t = generateFrom s) : IsTopologicalBasis ((fun f => ⋂₀ f) '' { f : Set (Set α) | f.Finite ∧ f ⊆ s }) := by subst t; letI := generateFrom s refine ⟨?_, ?_, le_antisymm (le_generateFrom ?_) <| generateFrom_anti fun t ht => ?_⟩ · rintro _ ⟨t₁, ⟨hft₁, ht₁b⟩, rfl⟩ _ ⟨t₂, ⟨hft₂, ht₂b⟩, rfl⟩ x h exact ⟨_, ⟨_, ⟨hft₁.union hft₂, union_subset ht₁b ht₂b⟩, sInter_union t₁ t₂⟩, h, Subset.rfl⟩ · rw [sUnion_image, iUnion₂_eq_univ_iff] exact fun x => ⟨∅, ⟨finite_empty, empty_subset _⟩, sInter_empty.substr <| mem_univ x⟩ · rintro _ ⟨t, ⟨hft, htb⟩, rfl⟩ exact hft.isOpen_sInter fun s hs ↦ GenerateOpen.basic _ <| htb hs · rw [← sInter_singleton t] exact ⟨{t}, ⟨finite_singleton t, singleton_subset_iff.2 ht⟩, rfl⟩ #align topological_space.is_topological_basis_of_subbasis TopologicalSpace.isTopologicalBasis_of_subbasis theorem IsTopologicalBasis.of_hasBasis_nhds {s : Set (Set α)} (h_nhds : ∀ a, (𝓝 a).HasBasis (fun t ↦ t ∈ s ∧ a ∈ t) id) : IsTopologicalBasis s where exists_subset_inter t₁ ht₁ t₂ ht₂ x hx := by simpa only [and_assoc, (h_nhds x).mem_iff] using (inter_mem ((h_nhds _).mem_of_mem ⟨ht₁, hx.1⟩) ((h_nhds _).mem_of_mem ⟨ht₂, hx.2⟩)) sUnion_eq := sUnion_eq_univ_iff.2 fun x ↦ (h_nhds x).ex_mem eq_generateFrom := ext_nhds fun x ↦ by simpa only [nhds_generateFrom, and_comm] using (h_nhds x).eq_biInf theorem isTopologicalBasis_of_isOpen_of_nhds {s : Set (Set α)} (h_open : ∀ u ∈ s, IsOpen u) (h_nhds : ∀ (a : α) (u : Set α), a ∈ u → IsOpen u → ∃ v ∈ s, a ∈ v ∧ v ⊆ u) : IsTopologicalBasis s := .of_hasBasis_nhds <| fun a ↦ (nhds_basis_opens a).to_hasBasis' (by simpa [and_assoc] using h_nhds a) fun t ⟨hts, hat⟩ ↦ (h_open _ hts).mem_nhds hat #align topological_space.is_topological_basis_of_open_of_nhds TopologicalSpace.isTopologicalBasis_of_isOpen_of_nhds
Mathlib/Topology/Bases.lean
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theorem IsTopologicalBasis.mem_nhds_iff {a : α} {s : Set α} {b : Set (Set α)} (hb : IsTopologicalBasis b) : s ∈ 𝓝 a ↔ ∃ t ∈ b, a ∈ t ∧ t ⊆ s := by
change s ∈ (𝓝 a).sets ↔ ∃ t ∈ b, a ∈ t ∧ t ⊆ s rw [hb.eq_generateFrom, nhds_generateFrom, biInf_sets_eq] · simp [and_assoc, and_left_comm] · rintro s ⟨hs₁, hs₂⟩ t ⟨ht₁, ht₂⟩ let ⟨u, hu₁, hu₂, hu₃⟩ := hb.1 _ hs₂ _ ht₂ _ ⟨hs₁, ht₁⟩ exact ⟨u, ⟨hu₂, hu₁⟩, le_principal_iff.2 (hu₃.trans inter_subset_left), le_principal_iff.2 (hu₃.trans inter_subset_right)⟩ · rcases eq_univ_iff_forall.1 hb.sUnion_eq a with ⟨i, h1, h2⟩ exact ⟨i, h2, h1⟩
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