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import Mathlib.Algebra.Polynomial.Taylor import Mathlib.RingTheory.Ideal.LocalRing import Mathlib.RingTheory.AdicCompletion.Basic #align_import ring_theory.henselian from "leanprover-community/mathlib"@"d1accf4f9cddb3666c6e8e4da0ac2d19c4ed73f0" noncomputable section universe u v open Polynomial LocalRing Polynomial Function List
Mathlib/RingTheory/Henselian.lean
65
82
theorem isLocalRingHom_of_le_jacobson_bot {R : Type*} [CommRing R] (I : Ideal R) (h : I ≤ Ideal.jacobson ⊥) : IsLocalRingHom (Ideal.Quotient.mk I) := by
constructor intro a h have : IsUnit (Ideal.Quotient.mk (Ideal.jacobson ⊥) a) := by rw [isUnit_iff_exists_inv] at * obtain ⟨b, hb⟩ := h obtain ⟨b, rfl⟩ := Ideal.Quotient.mk_surjective b use Ideal.Quotient.mk _ b rw [← (Ideal.Quotient.mk _).map_one, ← (Ideal.Quotient.mk _).map_mul, Ideal.Quotient.eq] at hb ⊢ exact h hb obtain ⟨⟨x, y, h1, h2⟩, rfl : x = _⟩ := this obtain ⟨y, rfl⟩ := Ideal.Quotient.mk_surjective y rw [← (Ideal.Quotient.mk _).map_mul, ← (Ideal.Quotient.mk _).map_one, Ideal.Quotient.eq, Ideal.mem_jacobson_bot] at h1 h2 specialize h1 1 simp? at h1 says simp only [mul_one, sub_add_cancel, IsUnit.mul_iff] at h1 exact h1.1
16
import Mathlib.CategoryTheory.Abelian.Subobject import Mathlib.CategoryTheory.Limits.EssentiallySmall import Mathlib.CategoryTheory.Preadditive.Injective import Mathlib.CategoryTheory.Preadditive.Generator import Mathlib.CategoryTheory.Abelian.Opposite #align_import category_theory.abelian.generator from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" open CategoryTheory CategoryTheory.Limits Opposite universe v u namespace CategoryTheory.Abelian variable {C : Type u} [Category.{v} C] [Abelian C]
Mathlib/CategoryTheory/Abelian/Generator.lean
35
52
theorem has_injective_coseparator [HasLimits C] [EnoughInjectives C] (G : C) (hG : IsSeparator G) : ∃ G : C, Injective G ∧ IsCoseparator G := by
haveI : WellPowered C := wellPowered_of_isDetector G hG.isDetector haveI : HasProductsOfShape (Subobject (op G)) C := hasProductsOfShape_of_small _ _ let T : C := Injective.under (piObj fun P : Subobject (op G) => unop P) refine ⟨T, inferInstance, (Preadditive.isCoseparator_iff _).2 fun X Y f hf => ?_⟩ refine (Preadditive.isSeparator_iff _).1 hG _ fun h => ?_ suffices hh : factorThruImage (h ≫ f) = 0 by rw [← Limits.image.fac (h ≫ f), hh, zero_comp] let R := Subobject.mk (factorThruImage (h ≫ f)).op let q₁ : image (h ≫ f) ⟶ unop R := (Subobject.underlyingIso (factorThruImage (h ≫ f)).op).unop.hom let q₂ : unop (R : Cᵒᵖ) ⟶ piObj fun P : Subobject (op G) => unop P := section_ (Pi.π (fun P : Subobject (op G) => (unop P : C)) R) let q : image (h ≫ f) ⟶ T := q₁ ≫ q₂ ≫ Injective.ι _ exact zero_of_comp_mono q (by rw [← Injective.comp_factorThru q (Limits.image.ι (h ≫ f)), Limits.image.fac_assoc, Category.assoc, hf, comp_zero])
16
import Mathlib.NumberTheory.Padics.PadicIntegers import Mathlib.RingTheory.ZMod #align_import number_theory.padics.ring_homs from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950" noncomputable section open scoped Classical open Nat LocalRing Padic namespace PadicInt variable {p : ℕ} [hp_prime : Fact p.Prime] section RingHoms variable (p) (r : ℚ) def modPart : ℤ := r.num * gcdA r.den p % p #align padic_int.mod_part PadicInt.modPart variable {p} theorem modPart_lt_p : modPart p r < p := by convert Int.emod_lt _ _ · simp · exact mod_cast hp_prime.1.ne_zero #align padic_int.mod_part_lt_p PadicInt.modPart_lt_p theorem modPart_nonneg : 0 ≤ modPart p r := Int.emod_nonneg _ <| mod_cast hp_prime.1.ne_zero #align padic_int.mod_part_nonneg PadicInt.modPart_nonneg theorem isUnit_den (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) : IsUnit (r.den : ℤ_[p]) := by rw [isUnit_iff] apply le_antisymm (r.den : ℤ_[p]).2 rw [← not_lt, coe_natCast] intro norm_denom_lt have hr : ‖(r * r.den : ℚ_[p])‖ = ‖(r.num : ℚ_[p])‖ := by congr rw_mod_cast [@Rat.mul_den_eq_num r] rw [padicNormE.mul] at hr have key : ‖(r.num : ℚ_[p])‖ < 1 := by calc _ = _ := hr.symm _ < 1 * 1 := mul_lt_mul' h norm_denom_lt (norm_nonneg _) zero_lt_one _ = 1 := mul_one 1 have : ↑p ∣ r.num ∧ (p : ℤ) ∣ r.den := by simp only [← norm_int_lt_one_iff_dvd, ← padic_norm_e_of_padicInt] exact ⟨key, norm_denom_lt⟩ apply hp_prime.1.not_dvd_one rwa [← r.reduced.gcd_eq_one, Nat.dvd_gcd_iff, ← Int.natCast_dvd, ← Int.natCast_dvd_natCast] #align padic_int.is_unit_denom PadicInt.isUnit_den
Mathlib/NumberTheory/Padics/RingHoms.lean
104
121
theorem norm_sub_modPart_aux (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) : ↑p ∣ r.num - r.num * r.den.gcdA p % p * ↑r.den := by
rw [← ZMod.intCast_zmod_eq_zero_iff_dvd] simp only [Int.cast_natCast, ZMod.natCast_mod, Int.cast_mul, Int.cast_sub] have := congr_arg (fun x => x % p : ℤ → ZMod p) (gcd_eq_gcd_ab r.den p) simp only [Int.cast_natCast, CharP.cast_eq_zero, EuclideanDomain.mod_zero, Int.cast_add, Int.cast_mul, zero_mul, add_zero] at this push_cast rw [mul_right_comm, mul_assoc, ← this] suffices rdcp : r.den.Coprime p by rw [rdcp.gcd_eq_one] simp only [mul_one, cast_one, sub_self] apply Coprime.symm apply (coprime_or_dvd_of_prime hp_prime.1 _).resolve_right rw [← Int.natCast_dvd_natCast, ← norm_int_lt_one_iff_dvd, not_lt] apply ge_of_eq rw [← isUnit_iff] exact isUnit_den r h
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import Mathlib.Topology.Algebra.InfiniteSum.Group import Mathlib.Topology.Algebra.Star noncomputable section open Filter Finset Function open scoped Topology variable {α β γ δ : Type*} section ContinuousMul variable [CommMonoid α] [TopologicalSpace α] [ContinuousMul α] section RegularSpace variable [RegularSpace α] @[to_additive]
Mathlib/Topology/Algebra/InfiniteSum/Constructions.lean
84
101
theorem HasProd.sigma {γ : β → Type*} {f : (Σ b : β, γ b) → α} {g : β → α} {a : α} (ha : HasProd f a) (hf : ∀ b, HasProd (fun c ↦ f ⟨b, c⟩) (g b)) : HasProd g a := by
classical refine (atTop_basis.tendsto_iff (closed_nhds_basis a)).mpr ?_ rintro s ⟨hs, hsc⟩ rcases mem_atTop_sets.mp (ha hs) with ⟨u, hu⟩ use u.image Sigma.fst, trivial intro bs hbs simp only [Set.mem_preimage, ge_iff_le, Finset.le_iff_subset] at hu have : Tendsto (fun t : Finset (Σb, γ b) ↦ ∏ p ∈ t.filter fun p ↦ p.1 ∈ bs, f p) atTop (𝓝 <| ∏ b ∈ bs, g b) := by simp only [← sigma_preimage_mk, prod_sigma] refine tendsto_finset_prod _ fun b _ ↦ ?_ change Tendsto (fun t ↦ (fun t ↦ ∏ s ∈ t, f ⟨b, s⟩) (preimage t (Sigma.mk b) _)) atTop (𝓝 (g b)) exact (hf b).comp (tendsto_finset_preimage_atTop_atTop (sigma_mk_injective)) refine hsc.mem_of_tendsto this (eventually_atTop.2 ⟨u, fun t ht ↦ hu _ fun x hx ↦ ?_⟩) exact mem_filter.2 ⟨ht hx, hbs <| mem_image_of_mem _ hx⟩
16
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.Matrix.Diagonal import Mathlib.LinearAlgebra.Matrix.Transvection import Mathlib.MeasureTheory.Group.LIntegral import Mathlib.MeasureTheory.Integral.Marginal import Mathlib.MeasureTheory.Measure.Stieltjes import Mathlib.MeasureTheory.Measure.Haar.OfBasis #align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" assert_not_exists MeasureTheory.integral noncomputable section open scoped Classical open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace open ENNReal (ofReal) open scoped ENNReal NNReal Topology namespace Real variable {ι : Type*} [Fintype ι]
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
56
72
theorem volume_eq_stieltjes_id : (volume : Measure ℝ) = StieltjesFunction.id.measure := by
haveI : IsAddLeftInvariant StieltjesFunction.id.measure := ⟨fun a => Eq.symm <| Real.measure_ext_Ioo_rat fun p q => by simp only [Measure.map_apply (measurable_const_add a) measurableSet_Ioo, sub_sub_sub_cancel_right, StieltjesFunction.measure_Ioo, StieltjesFunction.id_leftLim, StieltjesFunction.id_apply, id, preimage_const_add_Ioo]⟩ have A : StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped = 1 := by change StieltjesFunction.id.measure (parallelepiped (stdOrthonormalBasis ℝ ℝ)) = 1 rcases parallelepiped_orthonormalBasis_one_dim (stdOrthonormalBasis ℝ ℝ) with (H | H) <;> simp only [H, StieltjesFunction.measure_Icc, StieltjesFunction.id_apply, id, tsub_zero, StieltjesFunction.id_leftLim, sub_neg_eq_add, zero_add, ENNReal.ofReal_one] conv_rhs => rw [addHaarMeasure_unique StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped, A] simp only [volume, Basis.addHaar, one_smul]
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import Mathlib.Algebra.Order.Floor import Mathlib.Algebra.Order.Field.Power import Mathlib.Data.Nat.Log #align_import data.int.log from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58" variable {R : Type*} [LinearOrderedSemifield R] [FloorSemiring R] namespace Int def log (b : ℕ) (r : R) : ℤ := if 1 ≤ r then Nat.log b ⌊r⌋₊ else -Nat.clog b ⌈r⁻¹⌉₊ #align int.log Int.log theorem log_of_one_le_right (b : ℕ) {r : R} (hr : 1 ≤ r) : log b r = Nat.log b ⌊r⌋₊ := if_pos hr #align int.log_of_one_le_right Int.log_of_one_le_right theorem log_of_right_le_one (b : ℕ) {r : R} (hr : r ≤ 1) : log b r = -Nat.clog b ⌈r⁻¹⌉₊ := by obtain rfl | hr := hr.eq_or_lt · rw [log, if_pos hr, inv_one, Nat.ceil_one, Nat.floor_one, Nat.log_one_right, Nat.clog_one_right, Int.ofNat_zero, neg_zero] · exact if_neg hr.not_le #align int.log_of_right_le_one Int.log_of_right_le_one @[simp, norm_cast] theorem log_natCast (b : ℕ) (n : ℕ) : log b (n : R) = Nat.log b n := by cases n · simp [log_of_right_le_one] · rw [log_of_one_le_right, Nat.floor_natCast] simp #align int.log_nat_cast Int.log_natCast -- See note [no_index around OfNat.ofNat] @[simp] theorem log_ofNat (b : ℕ) (n : ℕ) [n.AtLeastTwo] : log b (no_index (OfNat.ofNat n : R)) = Nat.log b (OfNat.ofNat n) := log_natCast b n theorem log_of_left_le_one {b : ℕ} (hb : b ≤ 1) (r : R) : log b r = 0 := by rcases le_total 1 r with h | h · rw [log_of_one_le_right _ h, Nat.log_of_left_le_one hb, Int.ofNat_zero] · rw [log_of_right_le_one _ h, Nat.clog_of_left_le_one hb, Int.ofNat_zero, neg_zero] #align int.log_of_left_le_one Int.log_of_left_le_one theorem log_of_right_le_zero (b : ℕ) {r : R} (hr : r ≤ 0) : log b r = 0 := by rw [log_of_right_le_one _ (hr.trans zero_le_one), Nat.clog_of_right_le_one ((Nat.ceil_eq_zero.mpr <| inv_nonpos.2 hr).trans_le zero_le_one), Int.ofNat_zero, neg_zero] #align int.log_of_right_le_zero Int.log_of_right_le_zero theorem zpow_log_le_self {b : ℕ} {r : R} (hb : 1 < b) (hr : 0 < r) : (b : R) ^ log b r ≤ r := by rcases le_total 1 r with hr1 | hr1 · rw [log_of_one_le_right _ hr1] rw [zpow_natCast, ← Nat.cast_pow, ← Nat.le_floor_iff hr.le] exact Nat.pow_log_le_self b (Nat.floor_pos.mpr hr1).ne' · rw [log_of_right_le_one _ hr1, zpow_neg, zpow_natCast, ← Nat.cast_pow] exact inv_le_of_inv_le hr (Nat.ceil_le.1 <| Nat.le_pow_clog hb _) #align int.zpow_log_le_self Int.zpow_log_le_self
Mathlib/Data/Int/Log.lean
108
124
theorem lt_zpow_succ_log_self {b : ℕ} (hb : 1 < b) (r : R) : r < (b : R) ^ (log b r + 1) := by
rcases le_or_lt r 0 with hr | hr · rw [log_of_right_le_zero _ hr, zero_add, zpow_one] exact hr.trans_lt (zero_lt_one.trans_le <| mod_cast hb.le) rcases le_or_lt 1 r with hr1 | hr1 · rw [log_of_one_le_right _ hr1] rw [Int.ofNat_add_one_out, zpow_natCast, ← Nat.cast_pow] apply Nat.lt_of_floor_lt exact Nat.lt_pow_succ_log_self hb _ · rw [log_of_right_le_one _ hr1.le] have hcri : 1 < r⁻¹ := one_lt_inv hr hr1 have : 1 ≤ Nat.clog b ⌈r⁻¹⌉₊ := Nat.succ_le_of_lt (Nat.clog_pos hb <| Nat.one_lt_cast.1 <| hcri.trans_le (Nat.le_ceil _)) rw [neg_add_eq_sub, ← neg_sub, ← Int.ofNat_one, ← Int.ofNat_sub this, zpow_neg, zpow_natCast, lt_inv hr (pow_pos (Nat.cast_pos.mpr <| zero_lt_one.trans hb) _), ← Nat.cast_pow] refine Nat.lt_ceil.1 ?_ exact Nat.pow_pred_clog_lt_self hb <| Nat.one_lt_cast.1 <| hcri.trans_le <| Nat.le_ceil _
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import Mathlib.MeasureTheory.Constructions.Pi import Mathlib.MeasureTheory.Integral.Lebesgue open scoped Classical ENNReal open Set Function Equiv Finset noncomputable section namespace MeasureTheory section LMarginal variable {δ δ' : Type*} {π : δ → Type*} [∀ x, MeasurableSpace (π x)] variable {μ : ∀ i, Measure (π i)} [∀ i, SigmaFinite (μ i)] [DecidableEq δ] variable {s t : Finset δ} {f g : (∀ i, π i) → ℝ≥0∞} {x y : ∀ i, π i} {i : δ} def lmarginal (μ : ∀ i, Measure (π i)) (s : Finset δ) (f : (∀ i, π i) → ℝ≥0∞) (x : ∀ i, π i) : ℝ≥0∞ := ∫⁻ y : ∀ i : s, π i, f (updateFinset x s y) ∂Measure.pi fun i : s => μ i -- Note: this notation is not a binder. This is more convenient since it returns a function. @[inherit_doc] notation "∫⋯∫⁻_" s ", " f " ∂" μ:70 => lmarginal μ s f @[inherit_doc] notation "∫⋯∫⁻_" s ", " f => lmarginal (fun _ ↦ volume) s f variable (μ) theorem _root_.Measurable.lmarginal (hf : Measurable f) : Measurable (∫⋯∫⁻_s, f ∂μ) := by refine Measurable.lintegral_prod_right ?_ refine hf.comp ?_ rw [measurable_pi_iff]; intro i by_cases hi : i ∈ s · simp [hi, updateFinset] exact measurable_pi_iff.1 measurable_snd _ · simp [hi, updateFinset] exact measurable_pi_iff.1 measurable_fst _ @[simp] theorem lmarginal_empty (f : (∀ i, π i) → ℝ≥0∞) : ∫⋯∫⁻_∅, f ∂μ = f := by ext1 x simp_rw [lmarginal, Measure.pi_of_empty fun i : (∅ : Finset δ) => μ i] apply lintegral_dirac' exact Subsingleton.measurable theorem lmarginal_congr {x y : ∀ i, π i} (f : (∀ i, π i) → ℝ≥0∞) (h : ∀ i ∉ s, x i = y i) : (∫⋯∫⁻_s, f ∂μ) x = (∫⋯∫⁻_s, f ∂μ) y := by dsimp [lmarginal, updateFinset_def]; rcongr; exact h _ ‹_› theorem lmarginal_update_of_mem {i : δ} (hi : i ∈ s) (f : (∀ i, π i) → ℝ≥0∞) (x : ∀ i, π i) (y : π i) : (∫⋯∫⁻_s, f ∂μ) (Function.update x i y) = (∫⋯∫⁻_s, f ∂μ) x := by apply lmarginal_congr intro j hj have : j ≠ i := by rintro rfl; exact hj hi apply update_noteq this
Mathlib/MeasureTheory/Integral/Marginal.lean
118
135
theorem lmarginal_union (f : (∀ i, π i) → ℝ≥0∞) (hf : Measurable f) (hst : Disjoint s t) : ∫⋯∫⁻_s ∪ t, f ∂μ = ∫⋯∫⁻_s, ∫⋯∫⁻_t, f ∂μ ∂μ := by
ext1 x let e := MeasurableEquiv.piFinsetUnion π hst calc (∫⋯∫⁻_s ∪ t, f ∂μ) x = ∫⁻ (y : (i : ↥(s ∪ t)) → π i), f (updateFinset x (s ∪ t) y) ∂.pi fun i' : ↥(s ∪ t) ↦ μ i' := rfl _ = ∫⁻ (y : ((i : s) → π i) × ((j : t) → π j)), f (updateFinset x (s ∪ t) _) ∂(Measure.pi fun i : s ↦ μ i).prod (.pi fun j : t ↦ μ j) := by rw [measurePreserving_piFinsetUnion hst μ |>.lintegral_map_equiv] _ = ∫⁻ (y : (i : s) → π i), ∫⁻ (z : (j : t) → π j), f (updateFinset x (s ∪ t) (e (y, z))) ∂.pi fun j : t ↦ μ j ∂.pi fun i : s ↦ μ i := by apply lintegral_prod apply Measurable.aemeasurable exact hf.comp <| measurable_updateFinset.comp e.measurable _ = (∫⋯∫⁻_s, ∫⋯∫⁻_t, f ∂μ ∂μ) x := by simp_rw [lmarginal, updateFinset_updateFinset hst] rfl
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import Mathlib.MeasureTheory.Constructions.Pi import Mathlib.MeasureTheory.Constructions.Prod.Integral open Fintype MeasureTheory MeasureTheory.Measure variable {𝕜 : Type*} [RCLike 𝕜] namespace MeasureTheory theorem Integrable.fin_nat_prod {n : ℕ} {E : Fin n → Type*} [∀ i, MeasureSpace (E i)] [∀ i, SigmaFinite (volume : Measure (E i))] {f : (i : Fin n) → E i → 𝕜} (hf : ∀ i, Integrable (f i)) : Integrable (fun (x : (i : Fin n) → E i) ↦ ∏ i, f i (x i)) := by induction n with | zero => simp only [Nat.zero_eq, Finset.univ_eq_empty, Finset.prod_empty, volume_pi, integrable_const_iff, one_ne_zero, pi_empty_univ, ENNReal.one_lt_top, or_true] | succ n n_ih => have := ((measurePreserving_piFinSuccAbove (fun i => (volume : Measure (E i))) 0).symm) rw [volume_pi, ← this.integrable_comp_emb (MeasurableEquiv.measurableEmbedding _)] simp_rw [MeasurableEquiv.piFinSuccAbove_symm_apply, Fin.prod_univ_succ, Fin.insertNth_zero] simp only [Fin.zero_succAbove, cast_eq, Function.comp_def, Fin.cons_zero, Fin.cons_succ] have : Integrable (fun (x : (j : Fin n) → E (Fin.succ j)) ↦ ∏ j, f (Fin.succ j) (x j)) := n_ih (fun i ↦ hf _) exact Integrable.prod_mul (hf 0) this theorem Integrable.fintype_prod_dep {ι : Type*} [Fintype ι] {E : ι → Type*} {f : (i : ι) → E i → 𝕜} [∀ i, MeasureSpace (E i)] [∀ i, SigmaFinite (volume : Measure (E i))] (hf : ∀ i, Integrable (f i)) : Integrable (fun (x : (i : ι) → E i) ↦ ∏ i, f i (x i)) := by let e := (equivFin ι).symm simp_rw [← (volume_measurePreserving_piCongrLeft _ e).integrable_comp_emb (MeasurableEquiv.measurableEmbedding _), ← e.prod_comp, MeasurableEquiv.coe_piCongrLeft, Function.comp_def, Equiv.piCongrLeft_apply_apply] exact .fin_nat_prod (fun i ↦ hf _) theorem Integrable.fintype_prod {ι : Type*} [Fintype ι] {E : Type*} {f : ι → E → 𝕜} [MeasureSpace E] [SigmaFinite (volume : Measure E)] (hf : ∀ i, Integrable (f i)) : Integrable (fun (x : ι → E) ↦ ∏ i, f i (x i)) := Integrable.fintype_prod_dep hf
Mathlib/MeasureTheory/Integral/Pi.lean
65
84
theorem integral_fin_nat_prod_eq_prod {n : ℕ} {E : Fin n → Type*} [∀ i, MeasureSpace (E i)] [∀ i, SigmaFinite (volume : Measure (E i))] (f : (i : Fin n) → E i → 𝕜) : ∫ x : (i : Fin n) → E i, ∏ i, f i (x i) = ∏ i, ∫ x, f i x := by
induction n with | zero => simp only [Nat.zero_eq, volume_pi, Finset.univ_eq_empty, Finset.prod_empty, integral_const, pi_empty_univ, ENNReal.one_toReal, smul_eq_mul, mul_one, pow_zero, one_smul] | succ n n_ih => calc _ = ∫ x : E 0 × ((i : Fin n) → E (Fin.succ i)), f 0 x.1 * ∏ i : Fin n, f (Fin.succ i) (x.2 i) := by rw [volume_pi, ← ((measurePreserving_piFinSuccAbove (fun i => (volume : Measure (E i))) 0).symm).integral_comp'] simp_rw [MeasurableEquiv.piFinSuccAbove_symm_apply, Fin.prod_univ_succ, Fin.insertNth_zero, Fin.cons_succ, volume_eq_prod, volume_pi, Fin.zero_succAbove, cast_eq, Fin.cons_zero] _ = (∫ x, f 0 x) * ∏ i : Fin n, ∫ (x : E (Fin.succ i)), f (Fin.succ i) x := by rw [← n_ih, ← integral_prod_mul, volume_eq_prod] _ = ∏ i, ∫ x, f i x := by rw [Fin.prod_univ_succ]
16
import Mathlib.Data.List.Infix #align_import data.list.rdrop from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2" -- Make sure we don't import algebra assert_not_exists Monoid variable {α : Type*} (p : α → Bool) (l : List α) (n : ℕ) namespace List def rdrop : List α := l.take (l.length - n) #align list.rdrop List.rdrop @[simp] theorem rdrop_nil : rdrop ([] : List α) n = [] := by simp [rdrop] #align list.rdrop_nil List.rdrop_nil @[simp] theorem rdrop_zero : rdrop l 0 = l := by simp [rdrop] #align list.rdrop_zero List.rdrop_zero theorem rdrop_eq_reverse_drop_reverse : l.rdrop n = reverse (l.reverse.drop n) := by rw [rdrop] induction' l using List.reverseRecOn with xs x IH generalizing n · simp · cases n · simp [take_append] · simp [take_append_eq_append_take, IH] #align list.rdrop_eq_reverse_drop_reverse List.rdrop_eq_reverse_drop_reverse @[simp] theorem rdrop_concat_succ (x : α) : rdrop (l ++ [x]) (n + 1) = rdrop l n := by simp [rdrop_eq_reverse_drop_reverse] #align list.rdrop_concat_succ List.rdrop_concat_succ def rtake : List α := l.drop (l.length - n) #align list.rtake List.rtake @[simp] theorem rtake_nil : rtake ([] : List α) n = [] := by simp [rtake] #align list.rtake_nil List.rtake_nil @[simp] theorem rtake_zero : rtake l 0 = [] := by simp [rtake] #align list.rtake_zero List.rtake_zero theorem rtake_eq_reverse_take_reverse : l.rtake n = reverse (l.reverse.take n) := by rw [rtake] induction' l using List.reverseRecOn with xs x IH generalizing n · simp · cases n · exact drop_length _ · simp [drop_append_eq_append_drop, IH] #align list.rtake_eq_reverse_take_reverse List.rtake_eq_reverse_take_reverse @[simp] theorem rtake_concat_succ (x : α) : rtake (l ++ [x]) (n + 1) = rtake l n ++ [x] := by simp [rtake_eq_reverse_take_reverse] #align list.rtake_concat_succ List.rtake_concat_succ def rdropWhile : List α := reverse (l.reverse.dropWhile p) #align list.rdrop_while List.rdropWhile @[simp] theorem rdropWhile_nil : rdropWhile p ([] : List α) = [] := by simp [rdropWhile, dropWhile] #align list.rdrop_while_nil List.rdropWhile_nil theorem rdropWhile_concat (x : α) : rdropWhile p (l ++ [x]) = if p x then rdropWhile p l else l ++ [x] := by simp only [rdropWhile, dropWhile, reverse_append, reverse_singleton, singleton_append] split_ifs with h <;> simp [h] #align list.rdrop_while_concat List.rdropWhile_concat @[simp] theorem rdropWhile_concat_pos (x : α) (h : p x) : rdropWhile p (l ++ [x]) = rdropWhile p l := by rw [rdropWhile_concat, if_pos h] #align list.rdrop_while_concat_pos List.rdropWhile_concat_pos @[simp] theorem rdropWhile_concat_neg (x : α) (h : ¬p x) : rdropWhile p (l ++ [x]) = l ++ [x] := by rw [rdropWhile_concat, if_neg h] #align list.rdrop_while_concat_neg List.rdropWhile_concat_neg theorem rdropWhile_singleton (x : α) : rdropWhile p [x] = if p x then [] else [x] := by rw [← nil_append [x], rdropWhile_concat, rdropWhile_nil] #align list.rdrop_while_singleton List.rdropWhile_singleton theorem rdropWhile_last_not (hl : l.rdropWhile p ≠ []) : ¬p ((rdropWhile p l).getLast hl) := by simp_rw [rdropWhile] rw [getLast_reverse] exact dropWhile_nthLe_zero_not _ _ _ #align list.rdrop_while_last_not List.rdropWhile_last_not theorem rdropWhile_prefix : l.rdropWhile p <+: l := by rw [← reverse_suffix, rdropWhile, reverse_reverse] exact dropWhile_suffix _ #align list.rdrop_while_prefix List.rdropWhile_prefix variable {p} {l} @[simp] theorem rdropWhile_eq_nil_iff : rdropWhile p l = [] ↔ ∀ x ∈ l, p x := by simp [rdropWhile] #align list.rdrop_while_eq_nil_iff List.rdropWhile_eq_nil_iff -- it is in this file because it requires `List.Infix` @[simp]
Mathlib/Data/List/DropRight.lean
144
160
theorem dropWhile_eq_self_iff : dropWhile p l = l ↔ ∀ hl : 0 < l.length, ¬p (l.get ⟨0, hl⟩) := by
cases' l with hd tl · simp only [dropWhile, true_iff] intro h by_contra rwa [length_nil, lt_self_iff_false] at h · rw [dropWhile] refine ⟨fun h => ?_, fun h => ?_⟩ · intro _ H rw [get] at H refine (cons_ne_self hd tl) (Sublist.antisymm ?_ (sublist_cons _ _)) rw [← h] simp only [H] exact List.IsSuffix.sublist (dropWhile_suffix p) · have := h (by simp only [length, Nat.succ_pos]) rw [get] at this simp_rw [this]
16
import Mathlib.Data.Complex.Basic import Mathlib.MeasureTheory.Integral.CircleIntegral #align_import measure_theory.integral.circle_transform from "leanprover-community/mathlib"@"d11893b411025250c8e61ff2f12ccbd7ee35ab15" open Set MeasureTheory Metric Filter Function open scoped Interval Real noncomputable section variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] (R : ℝ) (z w : ℂ) namespace Complex def circleTransform (f : ℂ → E) (θ : ℝ) : E := (2 * ↑π * I)⁻¹ • deriv (circleMap z R) θ • (circleMap z R θ - w)⁻¹ • f (circleMap z R θ) #align complex.circle_transform Complex.circleTransform def circleTransformDeriv (f : ℂ → E) (θ : ℝ) : E := (2 * ↑π * I)⁻¹ • deriv (circleMap z R) θ • ((circleMap z R θ - w) ^ 2)⁻¹ • f (circleMap z R θ) #align complex.circle_transform_deriv Complex.circleTransformDeriv theorem circleTransformDeriv_periodic (f : ℂ → E) : Periodic (circleTransformDeriv R z w f) (2 * π) := by have := periodic_circleMap simp_rw [Periodic] at * intro x simp_rw [circleTransformDeriv, this] congr 2 simp [this] #align complex.circle_transform_deriv_periodic Complex.circleTransformDeriv_periodic theorem circleTransformDeriv_eq (f : ℂ → E) : circleTransformDeriv R z w f = fun θ => (circleMap z R θ - w)⁻¹ • circleTransform R z w f θ := by ext simp_rw [circleTransformDeriv, circleTransform, ← mul_smul, ← mul_assoc] ring_nf rw [inv_pow] congr ring #align complex.circle_transform_deriv_eq Complex.circleTransformDeriv_eq theorem integral_circleTransform (f : ℂ → E) : (∫ θ : ℝ in (0)..2 * π, circleTransform R z w f θ) = (2 * ↑π * I)⁻¹ • ∮ z in C(z, R), (z - w)⁻¹ • f z := by simp_rw [circleTransform, circleIntegral, deriv_circleMap, circleMap] simp #align complex.integral_circle_transform Complex.integral_circleTransform theorem continuous_circleTransform {R : ℝ} (hR : 0 < R) {f : ℂ → E} {z w : ℂ} (hf : ContinuousOn f <| sphere z R) (hw : w ∈ ball z R) : Continuous (circleTransform R z w f) := by apply_rules [Continuous.smul, continuous_const] · simp_rw [deriv_circleMap] apply_rules [Continuous.mul, continuous_circleMap 0 R, continuous_const] · exact continuous_circleMap_inv hw · apply ContinuousOn.comp_continuous hf (continuous_circleMap z R) exact fun _ => (circleMap_mem_sphere _ hR.le) _ #align complex.continuous_circle_transform Complex.continuous_circleTransform theorem continuous_circleTransformDeriv {R : ℝ} (hR : 0 < R) {f : ℂ → E} {z w : ℂ} (hf : ContinuousOn f (sphere z R)) (hw : w ∈ ball z R) : Continuous (circleTransformDeriv R z w f) := by rw [circleTransformDeriv_eq] exact (continuous_circleMap_inv hw).smul (continuous_circleTransform hR hf hw) #align complex.continuous_circle_transform_deriv Complex.continuous_circleTransformDeriv def circleTransformBoundingFunction (R : ℝ) (z : ℂ) (w : ℂ × ℝ) : ℂ := circleTransformDeriv R z w.1 (fun _ => 1) w.2 #align complex.circle_transform_bounding_function Complex.circleTransformBoundingFunction theorem continuousOn_prod_circle_transform_function {R r : ℝ} (hr : r < R) {z : ℂ} : ContinuousOn (fun w : ℂ × ℝ => (circleMap z R w.snd - w.fst)⁻¹ ^ 2) (closedBall z r ×ˢ univ) := by simp_rw [← one_div] apply_rules [ContinuousOn.pow, ContinuousOn.div, continuousOn_const] · exact ((continuous_circleMap z R).comp_continuousOn continuousOn_snd).sub continuousOn_fst · rintro ⟨a, b⟩ ⟨ha, -⟩ have ha2 : a ∈ ball z R := closedBall_subset_ball hr ha exact sub_ne_zero.2 (circleMap_ne_mem_ball ha2 b) #align complex.continuous_on_prod_circle_transform_function Complex.continuousOn_prod_circle_transform_function theorem continuousOn_abs_circleTransformBoundingFunction {R r : ℝ} (hr : r < R) (z : ℂ) : ContinuousOn (abs ∘ circleTransformBoundingFunction R z) (closedBall z r ×ˢ univ) := by have : ContinuousOn (circleTransformBoundingFunction R z) (closedBall z r ×ˢ univ) := by apply_rules [ContinuousOn.smul, continuousOn_const] · simp only [deriv_circleMap] apply_rules [ContinuousOn.mul, (continuous_circleMap 0 R).comp_continuousOn continuousOn_snd, continuousOn_const] · simpa only [inv_pow] using continuousOn_prod_circle_transform_function hr exact this.norm #align complex.continuous_on_abs_circle_transform_bounding_function Complex.continuousOn_abs_circleTransformBoundingFunction theorem abs_circleTransformBoundingFunction_le {R r : ℝ} (hr : r < R) (hr' : 0 ≤ r) (z : ℂ) : ∃ x : closedBall z r ×ˢ [[0, 2 * π]], ∀ y : closedBall z r ×ˢ [[0, 2 * π]], abs (circleTransformBoundingFunction R z y) ≤ abs (circleTransformBoundingFunction R z x) := by have cts := continuousOn_abs_circleTransformBoundingFunction hr z have comp : IsCompact (closedBall z r ×ˢ [[0, 2 * π]]) := by apply_rules [IsCompact.prod, ProperSpace.isCompact_closedBall z r, isCompact_uIcc] have none : (closedBall z r ×ˢ [[0, 2 * π]]).Nonempty := (nonempty_closedBall.2 hr').prod nonempty_uIcc have := IsCompact.exists_isMaxOn comp none (cts.mono <| prod_mono_right (subset_univ _)) simpa [isMaxOn_iff] using this #align complex.abs_circle_transform_bounding_function_le Complex.abs_circleTransformBoundingFunction_le
Mathlib/MeasureTheory/Integral/CircleTransform.lean
133
152
theorem circleTransformDeriv_bound {R : ℝ} (hR : 0 < R) {z x : ℂ} {f : ℂ → ℂ} (hx : x ∈ ball z R) (hf : ContinuousOn f (sphere z R)) : ∃ B ε : ℝ, 0 < ε ∧ ball x ε ⊆ ball z R ∧ ∀ (t : ℝ), ∀ y ∈ ball x ε, ‖circleTransformDeriv R z y f t‖ ≤ B := by
obtain ⟨r, hr, hrx⟩ := exists_lt_mem_ball_of_mem_ball hx obtain ⟨ε', hε', H⟩ := exists_ball_subset_ball hrx obtain ⟨⟨⟨a, b⟩, ⟨ha, hb⟩⟩, hab⟩ := abs_circleTransformBoundingFunction_le hr (pos_of_mem_ball hrx).le z let V : ℝ → ℂ → ℂ := fun θ w => circleTransformDeriv R z w (fun _ => 1) θ obtain ⟨X, -, HX2⟩ := (isCompact_sphere z R).exists_isMaxOn (NormedSpace.sphere_nonempty.2 hR.le) hf.norm refine ⟨abs (V b a) * abs (f X), ε', hε', H.trans (ball_subset_ball hr.le), fun y v hv ↦ ?_⟩ obtain ⟨y1, hy1, hfun⟩ := Periodic.exists_mem_Ico₀ (circleTransformDeriv_periodic R z v f) Real.two_pi_pos y have hy2 : y1 ∈ [[0, 2 * π]] := Icc_subset_uIcc <| Ico_subset_Icc_self hy1 simp only [isMaxOn_iff, mem_sphere_iff_norm, norm_eq_abs] at HX2 have := mul_le_mul (hab ⟨⟨v, y1⟩, ⟨ball_subset_closedBall (H hv), hy2⟩⟩) (HX2 (circleMap z R y1) (circleMap_mem_sphere z hR.le y1)) (Complex.abs.nonneg _) (Complex.abs.nonneg _) rw [hfun] simpa [V, circleTransformBoundingFunction, circleTransformDeriv, mul_assoc] using this
17
import Mathlib.Algebra.Homology.ExactSequence import Mathlib.CategoryTheory.Abelian.Refinements #align_import category_theory.abelian.diagram_lemmas.four from "leanprover-community/mathlib"@"d34cbcf6c94953e965448c933cd9cc485115ebbd" namespace CategoryTheory open Category Limits Preadditive namespace Abelian variable {C : Type*} [Category C] [Abelian C] open ComposableArrows section Four variable {R₁ R₂ : ComposableArrows C 3} (φ : R₁ ⟶ R₂)
Mathlib/CategoryTheory/Abelian/DiagramLemmas/Four.lean
62
83
theorem mono_of_epi_of_mono_of_mono' (hR₁ : R₁.map' 0 2 = 0) (hR₁' : (mk₂ (R₁.map' 1 2) (R₁.map' 2 3)).Exact) (hR₂ : (mk₂ (R₂.map' 0 1) (R₂.map' 1 2)).Exact) (h₀ : Epi (app' φ 0)) (h₁ : Mono (app' φ 1)) (h₃ : Mono (app' φ 3)) : Mono (app' φ 2) := by
apply mono_of_cancel_zero intro A f₂ h₁ have h₂ : f₂ ≫ R₁.map' 2 3 = 0 := by rw [← cancel_mono (app' φ 3 _), assoc, NatTrans.naturality, reassoc_of% h₁, zero_comp, zero_comp] obtain ⟨A₁, π₁, _, f₁, hf₁⟩ := (hR₁'.exact 0).exact_up_to_refinements f₂ h₂ dsimp at hf₁ have h₃ : (f₁ ≫ app' φ 1) ≫ R₂.map' 1 2 = 0 := by rw [assoc, ← NatTrans.naturality, ← reassoc_of% hf₁, h₁, comp_zero] obtain ⟨A₂, π₂, _, g₀, hg₀⟩ := (hR₂.exact 0).exact_up_to_refinements _ h₃ obtain ⟨A₃, π₃, _, f₀, hf₀⟩ := surjective_up_to_refinements_of_epi (app' φ 0 _) g₀ have h₄ : f₀ ≫ R₁.map' 0 1 = π₃ ≫ π₂ ≫ f₁ := by rw [← cancel_mono (app' φ 1 _), assoc, assoc, assoc, NatTrans.naturality, ← reassoc_of% hf₀, hg₀] rfl rw [← cancel_epi π₁, comp_zero, hf₁, ← cancel_epi π₂, ← cancel_epi π₃, comp_zero, comp_zero, ← reassoc_of% h₄, ← R₁.map'_comp 0 1 2, hR₁, comp_zero]
17
import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.Matrix.GeneralLinearGroup import Mathlib.LinearAlgebra.Matrix.Nondegenerate import Mathlib.LinearAlgebra.Matrix.NonsingularInverse import Mathlib.LinearAlgebra.Matrix.ToLin import Mathlib.RingTheory.Localization.FractionRing import Mathlib.RingTheory.Localization.Integer #align_import linear_algebra.matrix.to_linear_equiv from "leanprover-community/mathlib"@"e42cfdb03b7902f8787a1eb552cb8f77766b45b9" variable {n : Type*} [Fintype n] namespace Matrix section LinearEquiv open LinearMap variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M] section Nondegenerate open Matrix
Mathlib/LinearAlgebra/Matrix/ToLinearEquiv.lean
114
132
theorem exists_mulVec_eq_zero_iff_aux {K : Type*} [DecidableEq n] [Field K] {M : Matrix n n K} : (∃ v ≠ 0, M *ᵥ v = 0) ↔ M.det = 0 := by
constructor · rintro ⟨v, hv, mul_eq⟩ contrapose! hv exact eq_zero_of_mulVec_eq_zero hv mul_eq · contrapose! intro h have : Function.Injective (Matrix.toLin' M) := by simpa only [← LinearMap.ker_eq_bot, ker_toLin'_eq_bot_iff, not_imp_not] using h have : M * LinearMap.toMatrix' ((LinearEquiv.ofInjectiveEndo (Matrix.toLin' M) this).symm : (n → K) →ₗ[K] n → K) = 1 := by refine Matrix.toLin'.injective (LinearMap.ext fun v => ?_) rw [Matrix.toLin'_mul, Matrix.toLin'_one, Matrix.toLin'_toMatrix', LinearMap.comp_apply] exact (LinearEquiv.ofInjectiveEndo (Matrix.toLin' M) this).apply_symm_apply v exact Matrix.det_ne_zero_of_right_inverse this
17
import Mathlib.Data.Set.Image import Mathlib.Data.List.InsertNth import Mathlib.Init.Data.List.Lemmas #align_import data.list.lemmas from "leanprover-community/mathlib"@"2ec920d35348cb2d13ac0e1a2ad9df0fdf1a76b4" open List variable {α β γ : Type*} namespace List
Mathlib/Data/List/Lemmas.lean
23
41
theorem injOn_insertNth_index_of_not_mem (l : List α) (x : α) (hx : x ∉ l) : Set.InjOn (fun k => insertNth k x l) { n | n ≤ l.length } := by
induction' l with hd tl IH · intro n hn m hm _ simp only [Set.mem_singleton_iff, Set.setOf_eq_eq_singleton, length] at hn hm simp_all [hn, hm] · intro n hn m hm h simp only [length, Set.mem_setOf_eq] at hn hm simp only [mem_cons, not_or] at hx cases n <;> cases m · rfl · simp [hx.left] at h · simp [Ne.symm hx.left] at h · simp only [true_and_iff, eq_self_iff_true, insertNth_succ_cons] at h rw [Nat.succ_inj'] refine IH hx.right ?_ ?_ (by injection h) · simpa [Nat.succ_le_succ_iff] using hn · simpa [Nat.succ_le_succ_iff] using hm
17
import Mathlib.Algebra.Category.MonCat.Limits import Mathlib.CategoryTheory.Limits.Preserves.Filtered import Mathlib.CategoryTheory.ConcreteCategory.Elementwise import Mathlib.CategoryTheory.Limits.TypesFiltered #align_import algebra.category.Mon.filtered_colimits from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" set_option linter.uppercaseLean3 false universe v u noncomputable section open scoped Classical open CategoryTheory open CategoryTheory.Limits open CategoryTheory.IsFiltered renaming max → max' -- avoid name collision with `_root_.max`. namespace MonCat.FilteredColimits section -- Porting note: mathlib 3 used `parameters` here, mainly so we can have the abbreviations `M` and -- `M.mk` below, without passing around `F` all the time. variable {J : Type v} [SmallCategory J] (F : J ⥤ MonCatMax.{v, u}) @[to_additive "The colimit of `F ⋙ forget AddMon` in the category of types. In the following, we will construct an additive monoid structure on `M`."] abbrev M := Types.Quot (F ⋙ forget MonCat) #align Mon.filtered_colimits.M MonCat.FilteredColimits.M #align AddMon.filtered_colimits.M AddMonCat.FilteredColimits.M @[to_additive "The canonical projection into the colimit, as a quotient type."] noncomputable abbrev M.mk : (Σ j, F.obj j) → M.{v, u} F := Quot.mk _ #align Mon.filtered_colimits.M.mk MonCat.FilteredColimits.M.mk #align AddMon.filtered_colimits.M.mk AddMonCat.FilteredColimits.M.mk @[to_additive] theorem M.mk_eq (x y : Σ j, F.obj j) (h : ∃ (k : J) (f : x.1 ⟶ k) (g : y.1 ⟶ k), F.map f x.2 = F.map g y.2) : M.mk.{v, u} F x = M.mk F y := Quot.EqvGen_sound (Types.FilteredColimit.eqvGen_quot_rel_of_rel (F ⋙ forget MonCat) x y h) #align Mon.filtered_colimits.M.mk_eq MonCat.FilteredColimits.M.mk_eq #align AddMon.filtered_colimits.M.mk_eq AddMonCat.FilteredColimits.M.mk_eq variable [IsFiltered J] @[to_additive "As `J` is nonempty, we can pick an arbitrary object `j₀ : J`. We use this object to define the \"zero\" in the colimit as the equivalence class of `⟨j₀, 0 : F.obj j₀⟩`."] noncomputable instance colimitOne : One (M.{v, u} F) where one := M.mk F ⟨IsFiltered.nonempty.some,1⟩ #align Mon.filtered_colimits.colimit_has_one MonCat.FilteredColimits.colimitOne #align AddMon.filtered_colimits.colimit_has_zero AddMonCat.FilteredColimits.colimitZero @[to_additive "The definition of the \"zero\" in the colimit is independent of the chosen object of `J`. In particular, this lemma allows us to \"unfold\" the definition of `colimit_zero` at a custom chosen object `j`."] theorem colimit_one_eq (j : J) : (1 : M.{v, u} F) = M.mk F ⟨j, 1⟩ := by apply M.mk_eq refine ⟨max' _ j, IsFiltered.leftToMax _ j, IsFiltered.rightToMax _ j, ?_⟩ simp #align Mon.filtered_colimits.colimit_one_eq MonCat.FilteredColimits.colimit_one_eq #align AddMon.filtered_colimits.colimit_zero_eq AddMonCat.FilteredColimits.colimit_zero_eq @[to_additive "The \"unlifted\" version of addition in the colimit. To add two dependent pairs `⟨j₁, x⟩` and `⟨j₂, y⟩`, we pass to a common successor of `j₁` and `j₂` (given by `IsFiltered.max`) and add them there."] noncomputable def colimitMulAux (x y : Σ j, F.obj j) : M.{v, u} F := M.mk F ⟨IsFiltered.max x.fst y.fst, F.map (IsFiltered.leftToMax x.1 y.1) x.2 * F.map (IsFiltered.rightToMax x.1 y.1) y.2⟩ #align Mon.filtered_colimits.colimit_mul_aux MonCat.FilteredColimits.colimitMulAux #align AddMon.filtered_colimits.colimit_add_aux AddMonCat.FilteredColimits.colimitAddAux @[to_additive "Addition in the colimit is well-defined in the left argument."] theorem colimitMulAux_eq_of_rel_left {x x' y : Σ j, F.obj j} (hxx' : Types.FilteredColimit.Rel (F ⋙ forget MonCat) x x') : colimitMulAux.{v, u} F x y = colimitMulAux.{v, u} F x' y := by cases' x with j₁ x; cases' y with j₂ y; cases' x' with j₃ x' obtain ⟨l, f, g, hfg⟩ := hxx' simp? at hfg says simp only [Functor.comp_obj, Functor.comp_map, forget_map] at hfg obtain ⟨s, α, β, γ, h₁, h₂, h₃⟩ := IsFiltered.tulip (IsFiltered.leftToMax j₁ j₂) (IsFiltered.rightToMax j₁ j₂) (IsFiltered.rightToMax j₃ j₂) (IsFiltered.leftToMax j₃ j₂) f g apply M.mk_eq use s, α, γ dsimp simp_rw [MonoidHom.map_mul] -- Porting note: Lean cannot seem to use lemmas from concrete categories directly change (F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _ = (F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _ simp_rw [← F.map_comp, h₁, h₂, h₃, F.map_comp] congr 1 change F.map _ (F.map _ _) = F.map _ (F.map _ _) rw [hfg] #align Mon.filtered_colimits.colimit_mul_aux_eq_of_rel_left MonCat.FilteredColimits.colimitMulAux_eq_of_rel_left #align AddMon.filtered_colimits.colimit_add_aux_eq_of_rel_left AddMonCat.FilteredColimits.colimitAddAux_eq_of_rel_left @[to_additive "Addition in the colimit is well-defined in the right argument."]
Mathlib/Algebra/Category/MonCat/FilteredColimits.lean
143
162
theorem colimitMulAux_eq_of_rel_right {x y y' : Σ j, F.obj j} (hyy' : Types.FilteredColimit.Rel (F ⋙ forget MonCat) y y') : colimitMulAux.{v, u} F x y = colimitMulAux.{v, u} F x y' := by
cases' y with j₁ y; cases' x with j₂ x; cases' y' with j₃ y' obtain ⟨l, f, g, hfg⟩ := hyy' simp only [Functor.comp_obj, Functor.comp_map, forget_map] at hfg obtain ⟨s, α, β, γ, h₁, h₂, h₃⟩ := IsFiltered.tulip (IsFiltered.rightToMax j₂ j₁) (IsFiltered.leftToMax j₂ j₁) (IsFiltered.leftToMax j₂ j₃) (IsFiltered.rightToMax j₂ j₃) f g apply M.mk_eq use s, α, γ dsimp simp_rw [MonoidHom.map_mul] -- Porting note: Lean cannot seem to use lemmas from concrete categories directly change (F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _ = (F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _ simp_rw [← F.map_comp, h₁, h₂, h₃, F.map_comp] congr 1 change F.map _ (F.map _ _) = F.map _ (F.map _ _) rw [hfg]
17
import Mathlib.Analysis.InnerProductSpace.Calculus import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.InnerProductSpace.Adjoint import Mathlib.Analysis.Calculus.LagrangeMultipliers import Mathlib.LinearAlgebra.Eigenspace.Basic #align_import analysis.inner_product_space.rayleigh from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1" variable {𝕜 : Type*} [RCLike 𝕜] variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped NNReal open Module.End Metric namespace IsSelfAdjoint section Real variable {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F] theorem _root_.LinearMap.IsSymmetric.hasStrictFDerivAt_reApplyInnerSelf {T : F →L[ℝ] F} (hT : (T : F →ₗ[ℝ] F).IsSymmetric) (x₀ : F) : HasStrictFDerivAt T.reApplyInnerSelf (2 • (innerSL ℝ (T x₀))) x₀ := by convert T.hasStrictFDerivAt.inner ℝ (hasStrictFDerivAt_id x₀) using 1 ext y rw [ContinuousLinearMap.smul_apply, ContinuousLinearMap.comp_apply, fderivInnerCLM_apply, ContinuousLinearMap.prod_apply, innerSL_apply, id, ContinuousLinearMap.id_apply, hT.apply_clm x₀ y, real_inner_comm _ x₀, two_smul] #align linear_map.is_symmetric.has_strict_fderiv_at_re_apply_inner_self LinearMap.IsSymmetric.hasStrictFDerivAt_reApplyInnerSelf variable [CompleteSpace F] {T : F →L[ℝ] F}
Mathlib/Analysis/InnerProductSpace/Rayleigh.lean
119
138
theorem linearly_dependent_of_isLocalExtrOn (hT : IsSelfAdjoint T) {x₀ : F} (hextr : IsLocalExtrOn T.reApplyInnerSelf (sphere (0 : F) ‖x₀‖) x₀) : ∃ a b : ℝ, (a, b) ≠ 0 ∧ a • x₀ + b • T x₀ = 0 := by
have H : IsLocalExtrOn T.reApplyInnerSelf {x : F | ‖x‖ ^ 2 = ‖x₀‖ ^ 2} x₀ := by convert hextr ext x simp [dist_eq_norm] -- find Lagrange multipliers for the function `T.re_apply_inner_self` and the -- hypersurface-defining function `fun x ↦ ‖x‖ ^ 2` obtain ⟨a, b, h₁, h₂⟩ := IsLocalExtrOn.exists_multipliers_of_hasStrictFDerivAt_1d H (hasStrictFDerivAt_norm_sq x₀) (hT.isSymmetric.hasStrictFDerivAt_reApplyInnerSelf x₀) refine ⟨a, b, h₁, ?_⟩ apply (InnerProductSpace.toDualMap ℝ F).injective simp only [LinearIsometry.map_add, LinearIsometry.map_smul, LinearIsometry.map_zero] -- Note: #8386 changed `map_smulₛₗ` into `map_smulₛₗ _` simp only [map_smulₛₗ _, RCLike.conj_to_real] change a • innerSL ℝ x₀ + b • innerSL ℝ (T x₀) = 0 apply smul_right_injective (F →L[ℝ] ℝ) (two_ne_zero : (2 : ℝ) ≠ 0) simpa only [two_smul, smul_add, add_smul, add_zero] using h₂
17
import Mathlib.Topology.Instances.ENNReal #align_import order.filter.ennreal from "leanprover-community/mathlib"@"52932b3a083d4142e78a15dc928084a22fea9ba0" open Filter ENNReal namespace ENNReal variable {α : Type*} {f : Filter α} theorem eventually_le_limsup [CountableInterFilter f] (u : α → ℝ≥0∞) : ∀ᶠ y in f, u y ≤ f.limsup u := _root_.eventually_le_limsup #align ennreal.eventually_le_limsup ENNReal.eventually_le_limsup theorem limsup_eq_zero_iff [CountableInterFilter f] {u : α → ℝ≥0∞} : f.limsup u = 0 ↔ u =ᶠ[f] 0 := limsup_eq_bot #align ennreal.limsup_eq_zero_iff ENNReal.limsup_eq_zero_iff theorem limsup_const_mul_of_ne_top {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha_top : a ≠ ⊤) : (f.limsup fun x : α => a * u x) = a * f.limsup u := by by_cases ha_zero : a = 0 · simp_rw [ha_zero, zero_mul, ← ENNReal.bot_eq_zero] exact limsup_const_bot let g := fun x : ℝ≥0∞ => a * x have hg_bij : Function.Bijective g := Function.bijective_iff_has_inverse.mpr ⟨fun x => a⁻¹ * x, ⟨fun x => by simp [g, ← mul_assoc, ENNReal.inv_mul_cancel ha_zero ha_top], fun x => by simp [g, ← mul_assoc, ENNReal.mul_inv_cancel ha_zero ha_top]⟩⟩ have hg_mono : StrictMono g := Monotone.strictMono_of_injective (fun _ _ _ => by rwa [mul_le_mul_left ha_zero ha_top]) hg_bij.1 let g_iso := StrictMono.orderIsoOfSurjective g hg_mono hg_bij.2 exact (OrderIso.limsup_apply g_iso).symm #align ennreal.limsup_const_mul_of_ne_top ENNReal.limsup_const_mul_of_ne_top
Mathlib/Order/Filter/ENNReal.lean
50
68
theorem limsup_const_mul [CountableInterFilter f] {u : α → ℝ≥0∞} {a : ℝ≥0∞} : f.limsup (a * u ·) = a * f.limsup u := by
by_cases ha_top : a ≠ ⊤ · exact limsup_const_mul_of_ne_top ha_top push_neg at ha_top by_cases hu : u =ᶠ[f] 0 · have hau : (a * u ·) =ᶠ[f] 0 := hu.mono fun x hx => by simp [hx] simp only [limsup_congr hu, limsup_congr hau, Pi.zero_apply, ← ENNReal.bot_eq_zero, limsup_const_bot] simp · have hu_mul : ∃ᶠ x : α in f, ⊤ ≤ ite (u x = 0) (0 : ℝ≥0∞) ⊤ := by rw [EventuallyEq, not_eventually] at hu refine hu.mono fun x hx => ?_ rw [Pi.zero_apply] at hx simp [hx] have h_top_le : (f.limsup fun x : α => ite (u x = 0) (0 : ℝ≥0∞) ⊤) = ⊤ := eq_top_iff.mpr (le_limsup_of_frequently_le hu_mul) have hfu : f.limsup u ≠ 0 := mt limsup_eq_zero_iff.1 hu simp only [ha_top, top_mul', h_top_le, hfu, ite_false]
17
import Mathlib.Algebra.Lie.Submodule #align_import algebra.lie.ideal_operations from "leanprover-community/mathlib"@"8983bec7cdf6cb2dd1f21315c8a34ab00d7b2f6d" universe u v w w₁ w₂ namespace LieSubmodule variable {R : Type u} {L : Type v} {M : Type w} {M₂ : Type w₁} variable [CommRing R] [LieRing L] [LieAlgebra R L] variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M] variable [AddCommGroup M₂] [Module R M₂] [LieRingModule L M₂] [LieModule R L M₂] variable (N N' : LieSubmodule R L M) (I J : LieIdeal R L) (N₂ : LieSubmodule R L M₂) section LieIdealOperations instance hasBracket : Bracket (LieIdeal R L) (LieSubmodule R L M) := ⟨fun I N => lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m }⟩ #align lie_submodule.has_bracket LieSubmodule.hasBracket theorem lieIdeal_oper_eq_span : ⁅I, N⁆ = lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := rfl #align lie_submodule.lie_ideal_oper_eq_span LieSubmodule.lieIdeal_oper_eq_span
Mathlib/Algebra/Lie/IdealOperations.lean
62
81
theorem lieIdeal_oper_eq_linear_span : (↑⁅I, N⁆ : Submodule R M) = Submodule.span R { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := by
apply le_antisymm · let s := { m : M | ∃ (x : ↥I) (n : ↥N), ⁅(x : L), (n : M)⁆ = m } have aux : ∀ (y : L), ∀ m' ∈ Submodule.span R s, ⁅y, m'⁆ ∈ Submodule.span R s := by intro y m' hm' refine Submodule.span_induction (R := R) (M := M) (s := s) (p := fun m' ↦ ⁅y, m'⁆ ∈ Submodule.span R s) hm' ?_ ?_ ?_ ?_ · rintro m'' ⟨x, n, hm''⟩; rw [← hm'', leibniz_lie] refine Submodule.add_mem _ ?_ ?_ <;> apply Submodule.subset_span · use ⟨⁅y, ↑x⁆, I.lie_mem x.property⟩, n · use x, ⟨⁅y, ↑n⁆, N.lie_mem n.property⟩ · simp only [lie_zero, Submodule.zero_mem] · intro m₁ m₂ hm₁ hm₂; rw [lie_add]; exact Submodule.add_mem _ hm₁ hm₂ · intro t m'' hm''; rw [lie_smul]; exact Submodule.smul_mem _ t hm'' change _ ≤ ({ Submodule.span R s with lie_mem := fun hm' => aux _ _ hm' } : LieSubmodule R L M) rw [lieIdeal_oper_eq_span, lieSpan_le] exact Submodule.subset_span · rw [lieIdeal_oper_eq_span]; apply submodule_span_le_lieSpan
17
import Mathlib.MeasureTheory.Measure.Haar.Basic import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import measure_theory.measure.haar.of_basis from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set TopologicalSpace MeasureTheory MeasureTheory.Measure FiniteDimensional open scoped Pointwise noncomputable section variable {ι ι' E F : Type*} section Fintype variable [Fintype ι] [Fintype ι'] section AddCommGroup variable [AddCommGroup E] [Module ℝ E] [AddCommGroup F] [Module ℝ F] def parallelepiped (v : ι → E) : Set E := (fun t : ι → ℝ => ∑ i, t i • v i) '' Icc 0 1 #align parallelepiped parallelepiped theorem mem_parallelepiped_iff (v : ι → E) (x : E) : x ∈ parallelepiped v ↔ ∃ t ∈ Icc (0 : ι → ℝ) 1, x = ∑ i, t i • v i := by simp [parallelepiped, eq_comm] #align mem_parallelepiped_iff mem_parallelepiped_iff theorem parallelepiped_basis_eq (b : Basis ι ℝ E) : parallelepiped b = {x | ∀ i, b.repr x i ∈ Set.Icc 0 1} := by classical ext x simp_rw [mem_parallelepiped_iff, mem_setOf_eq, b.ext_elem_iff, _root_.map_sum, _root_.map_smul, Finset.sum_apply', Basis.repr_self, Finsupp.smul_single, smul_eq_mul, mul_one, Finsupp.single_apply, Finset.sum_ite_eq', Finset.mem_univ, ite_true, mem_Icc, Pi.le_def, Pi.zero_apply, Pi.one_apply, ← forall_and] aesop theorem image_parallelepiped (f : E →ₗ[ℝ] F) (v : ι → E) : f '' parallelepiped v = parallelepiped (f ∘ v) := by simp only [parallelepiped, ← image_comp] congr 1 with t simp only [Function.comp_apply, _root_.map_sum, LinearMap.map_smulₛₗ, RingHom.id_apply] #align image_parallelepiped image_parallelepiped @[simp]
Mathlib/MeasureTheory/Measure/Haar/OfBasis.lean
76
94
theorem parallelepiped_comp_equiv (v : ι → E) (e : ι' ≃ ι) : parallelepiped (v ∘ e) = parallelepiped v := by
simp only [parallelepiped] let K : (ι' → ℝ) ≃ (ι → ℝ) := Equiv.piCongrLeft' (fun _a : ι' => ℝ) e have : Icc (0 : ι → ℝ) 1 = K '' Icc (0 : ι' → ℝ) 1 := by rw [← Equiv.preimage_eq_iff_eq_image] ext x simp only [K, mem_preimage, mem_Icc, Pi.le_def, Pi.zero_apply, Equiv.piCongrLeft'_apply, Pi.one_apply] refine ⟨fun h => ⟨fun i => ?_, fun i => ?_⟩, fun h => ⟨fun i => h.1 (e.symm i), fun i => h.2 (e.symm i)⟩⟩ · simpa only [Equiv.symm_apply_apply] using h.1 (e i) · simpa only [Equiv.symm_apply_apply] using h.2 (e i) rw [this, ← image_comp] congr 1 with x have := fun z : ι' → ℝ => e.symm.sum_comp fun i => z i • v (e i) simp_rw [Equiv.apply_symm_apply] at this simp_rw [Function.comp_apply, mem_image, mem_Icc, K, Equiv.piCongrLeft'_apply, this]
17
import Mathlib.Topology.MetricSpace.PseudoMetric open Filter open scoped Uniformity Topology universe u v w variable {α : Type u} {β : Type v} {X ι : Type*} variable [PseudoMetricSpace α] theorem Metric.complete_of_convergent_controlled_sequences (B : ℕ → Real) (hB : ∀ n, 0 < B n) (H : ∀ u : ℕ → α, (∀ N n m : ℕ, N ≤ n → N ≤ m → dist (u n) (u m) < B N) → ∃ x, Tendsto u atTop (𝓝 x)) : CompleteSpace α := UniformSpace.complete_of_convergent_controlled_sequences (fun n => { p : α × α | dist p.1 p.2 < B n }) (fun n => dist_mem_uniformity <| hB n) H #align metric.complete_of_convergent_controlled_sequences Metric.complete_of_convergent_controlled_sequences theorem Metric.complete_of_cauchySeq_tendsto : (∀ u : ℕ → α, CauchySeq u → ∃ a, Tendsto u atTop (𝓝 a)) → CompleteSpace α := EMetric.complete_of_cauchySeq_tendsto #align metric.complete_of_cauchy_seq_tendsto Metric.complete_of_cauchySeq_tendsto section CauchySeq variable [Nonempty β] [SemilatticeSup β] -- Porting note: @[nolint ge_or_gt] doesn't exist theorem Metric.cauchySeq_iff {u : β → α} : CauchySeq u ↔ ∀ ε > 0, ∃ N, ∀ m ≥ N, ∀ n ≥ N, dist (u m) (u n) < ε := uniformity_basis_dist.cauchySeq_iff #align metric.cauchy_seq_iff Metric.cauchySeq_iff theorem Metric.cauchySeq_iff' {u : β → α} : CauchySeq u ↔ ∀ ε > 0, ∃ N, ∀ n ≥ N, dist (u n) (u N) < ε := uniformity_basis_dist.cauchySeq_iff' #align metric.cauchy_seq_iff' Metric.cauchySeq_iff' -- see Note [nolint_ge] -- Porting note: no attr @[nolint ge_or_gt]
Mathlib/Topology/MetricSpace/Cauchy.lean
72
91
theorem Metric.uniformCauchySeqOn_iff {γ : Type*} {F : β → γ → α} {s : Set γ} : UniformCauchySeqOn F atTop s ↔ ∀ ε > (0 : ℝ), ∃ N : β, ∀ m ≥ N, ∀ n ≥ N, ∀ x ∈ s, dist (F m x) (F n x) < ε := by
constructor · intro h ε hε let u := { a : α × α | dist a.fst a.snd < ε } have hu : u ∈ 𝓤 α := Metric.mem_uniformity_dist.mpr ⟨ε, hε, by simp [u]⟩ rw [← @Filter.eventually_atTop_prod_self' _ _ _ fun m => ∀ x ∈ s, dist (F m.fst x) (F m.snd x) < ε] specialize h u hu rw [prod_atTop_atTop_eq] at h exact h.mono fun n h x hx => h x hx · intro h u hu rcases Metric.mem_uniformity_dist.mp hu with ⟨ε, hε, hab⟩ rcases h ε hε with ⟨N, hN⟩ rw [prod_atTop_atTop_eq, eventually_atTop] use (N, N) intro b hb x hx rcases hb with ⟨hbl, hbr⟩ exact hab (hN b.fst hbl.ge b.snd hbr.ge x hx)
17
import Mathlib.Analysis.Calculus.LineDeriv.Measurable import Mathlib.Analysis.NormedSpace.FiniteDimension import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar import Mathlib.Analysis.BoundedVariation import Mathlib.MeasureTheory.Group.Integral import Mathlib.Analysis.Distribution.AEEqOfIntegralContDiff import Mathlib.MeasureTheory.Measure.Haar.Disintegration open Filter MeasureTheory Measure FiniteDimensional Metric Set Asymptotics open scoped NNReal ENNReal Topology variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] {C D : ℝ≥0} {f g : E → ℝ} {s : Set E} {μ : Measure E} [IsAddHaarMeasure μ] namespace LipschitzWith theorem ae_lineDifferentiableAt (hf : LipschitzWith C f) (v : E) : ∀ᵐ p ∂μ, LineDifferentiableAt ℝ f p v := by let L : ℝ →L[ℝ] E := ContinuousLinearMap.smulRight (1 : ℝ →L[ℝ] ℝ) v suffices A : ∀ p, ∀ᵐ (t : ℝ) ∂volume, LineDifferentiableAt ℝ f (p + t • v) v from ae_mem_of_ae_add_linearMap_mem L.toLinearMap volume μ (measurableSet_lineDifferentiableAt hf.continuous) A intro p have : ∀ᵐ (s : ℝ), DifferentiableAt ℝ (fun t ↦ f (p + t • v)) s := (hf.comp ((LipschitzWith.const p).add L.lipschitz)).ae_differentiableAt_real filter_upwards [this] with s hs have h's : DifferentiableAt ℝ (fun t ↦ f (p + t • v)) (s + 0) := by simpa using hs have : DifferentiableAt ℝ (fun t ↦ s + t) 0 := differentiableAt_id.const_add _ simp only [LineDifferentiableAt] convert h's.comp 0 this with _ t simp only [LineDifferentiableAt, add_assoc, Function.comp_apply, add_smul] theorem memℒp_lineDeriv (hf : LipschitzWith C f) (v : E) : Memℒp (fun x ↦ lineDeriv ℝ f x v) ∞ μ := memℒp_top_of_bound (aestronglyMeasurable_lineDeriv hf.continuous μ) (C * ‖v‖) (eventually_of_forall (fun _x ↦ norm_lineDeriv_le_of_lipschitz ℝ hf)) theorem locallyIntegrable_lineDeriv (hf : LipschitzWith C f) (v : E) : LocallyIntegrable (fun x ↦ lineDeriv ℝ f x v) μ := (hf.memℒp_lineDeriv v).locallyIntegrable le_top
Mathlib/Analysis/Calculus/Rademacher.lean
97
117
theorem integral_inv_smul_sub_mul_tendsto_integral_lineDeriv_mul (hf : LipschitzWith C f) (hg : Integrable g μ) (v : E) : Tendsto (fun (t : ℝ) ↦ ∫ x, (t⁻¹ • (f (x + t • v) - f x)) * g x ∂μ) (𝓝[>] 0) (𝓝 (∫ x, lineDeriv ℝ f x v * g x ∂μ)) := by
apply tendsto_integral_filter_of_dominated_convergence (fun x ↦ (C * ‖v‖) * ‖g x‖) · filter_upwards with t apply AEStronglyMeasurable.mul ?_ hg.aestronglyMeasurable apply aestronglyMeasurable_const.smul apply AEStronglyMeasurable.sub _ hf.continuous.measurable.aestronglyMeasurable apply AEMeasurable.aestronglyMeasurable exact hf.continuous.measurable.comp_aemeasurable' (aemeasurable_id'.add_const _) · filter_upwards [self_mem_nhdsWithin] with t (ht : 0 < t) filter_upwards with x calc ‖t⁻¹ • (f (x + t • v) - f x) * g x‖ = (t⁻¹ * ‖f (x + t • v) - f x‖) * ‖g x‖ := by simp [norm_mul, ht.le] _ ≤ (t⁻¹ * (C * ‖(x + t • v) - x‖)) * ‖g x‖ := by gcongr; exact LipschitzWith.norm_sub_le hf (x + t • v) x _ = (C * ‖v‖) *‖g x‖ := by field_simp [norm_smul, abs_of_nonneg ht.le]; ring · exact hg.norm.const_mul _ · filter_upwards [hf.ae_lineDifferentiableAt v] with x hx exact hx.hasLineDerivAt.tendsto_slope_zero_right.mul tendsto_const_nhds
17
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar import Mathlib.MeasureTheory.Measure.Haar.Quotient import Mathlib.MeasureTheory.Constructions.Polish import Mathlib.MeasureTheory.Integral.IntervalIntegral import Mathlib.Topology.Algebra.Order.Floor #align_import measure_theory.integral.periodic from "leanprover-community/mathlib"@"9f55d0d4363ae59948c33864cbc52e0b12e0e8ce" open Set Function MeasureTheory MeasureTheory.Measure TopologicalSpace AddSubgroup intervalIntegral open scoped MeasureTheory NNReal ENNReal @[measurability] protected theorem AddCircle.measurable_mk' {a : ℝ} : Measurable (β := AddCircle a) ((↑) : ℝ → AddCircle a) := Continuous.measurable <| AddCircle.continuous_mk' a #align add_circle.measurable_mk' AddCircle.measurable_mk' theorem isAddFundamentalDomain_Ioc {T : ℝ} (hT : 0 < T) (t : ℝ) (μ : Measure ℝ := by volume_tac) : IsAddFundamentalDomain (AddSubgroup.zmultiples T) (Ioc t (t + T)) μ := by refine IsAddFundamentalDomain.mk' measurableSet_Ioc.nullMeasurableSet fun x => ?_ have : Bijective (codRestrict (fun n : ℤ => n • T) (AddSubgroup.zmultiples T) _) := (Equiv.ofInjective (fun n : ℤ => n • T) (zsmul_strictMono_left hT).injective).bijective refine this.existsUnique_iff.2 ?_ simpa only [add_comm x] using existsUnique_add_zsmul_mem_Ioc hT x t #align is_add_fundamental_domain_Ioc isAddFundamentalDomain_Ioc theorem isAddFundamentalDomain_Ioc' {T : ℝ} (hT : 0 < T) (t : ℝ) (μ : Measure ℝ := by volume_tac) : IsAddFundamentalDomain (AddSubgroup.op <| .zmultiples T) (Ioc t (t + T)) μ := by refine IsAddFundamentalDomain.mk' measurableSet_Ioc.nullMeasurableSet fun x => ?_ have : Bijective (codRestrict (fun n : ℤ => n • T) (AddSubgroup.zmultiples T) _) := (Equiv.ofInjective (fun n : ℤ => n • T) (zsmul_strictMono_left hT).injective).bijective refine (AddSubgroup.equivOp _).bijective.comp this |>.existsUnique_iff.2 ?_ simpa using existsUnique_add_zsmul_mem_Ioc hT x t #align is_add_fundamental_domain_Ioc' isAddFundamentalDomain_Ioc' variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] namespace Function namespace Periodic variable {f : ℝ → E} {T : ℝ} theorem intervalIntegral_add_eq_of_pos (hf : Periodic f T) (hT : 0 < T) (t s : ℝ) : ∫ x in t..t + T, f x = ∫ x in s..s + T, f x := by simp only [integral_of_le, hT.le, le_add_iff_nonneg_right] haveI : VAddInvariantMeasure (AddSubgroup.zmultiples T) ℝ volume := ⟨fun c s _ => measure_preimage_add _ _ _⟩ apply IsAddFundamentalDomain.setIntegral_eq (G := AddSubgroup.zmultiples T) exacts [isAddFundamentalDomain_Ioc hT t, isAddFundamentalDomain_Ioc hT s, hf.map_vadd_zmultiples] #align function.periodic.interval_integral_add_eq_of_pos Function.Periodic.intervalIntegral_add_eq_of_pos theorem intervalIntegral_add_eq (hf : Periodic f T) (t s : ℝ) : ∫ x in t..t + T, f x = ∫ x in s..s + T, f x := by rcases lt_trichotomy (0 : ℝ) T with (hT | rfl | hT) · exact hf.intervalIntegral_add_eq_of_pos hT t s · simp · rw [← neg_inj, ← integral_symm, ← integral_symm] simpa only [← sub_eq_add_neg, add_sub_cancel_right] using hf.neg.intervalIntegral_add_eq_of_pos (neg_pos.2 hT) (t + T) (s + T) #align function.periodic.interval_integral_add_eq Function.Periodic.intervalIntegral_add_eq theorem intervalIntegral_add_eq_add (hf : Periodic f T) (t s : ℝ) (h_int : ∀ t₁ t₂, IntervalIntegrable f MeasureSpace.volume t₁ t₂) : ∫ x in t..s + T, f x = (∫ x in t..s, f x) + ∫ x in t..t + T, f x := by rw [hf.intervalIntegral_add_eq t s, integral_add_adjacent_intervals (h_int t s) (h_int s _)] #align function.periodic.interval_integral_add_eq_add Function.Periodic.intervalIntegral_add_eq_add
Mathlib/MeasureTheory/Integral/Periodic.lean
287
306
theorem intervalIntegral_add_zsmul_eq (hf : Periodic f T) (n : ℤ) (t : ℝ) (h_int : ∀ t₁ t₂, IntervalIntegrable f MeasureSpace.volume t₁ t₂) : ∫ x in t..t + n • T, f x = n • ∫ x in t..t + T, f x := by
-- Reduce to the case `b = 0` suffices (∫ x in (0)..(n • T), f x) = n • ∫ x in (0)..T, f x by simp only [hf.intervalIntegral_add_eq t 0, (hf.zsmul n).intervalIntegral_add_eq t 0, zero_add, this] -- First prove it for natural numbers have : ∀ m : ℕ, (∫ x in (0)..m • T, f x) = m • ∫ x in (0)..T, f x := fun m ↦ by induction' m with m ih · simp · simp only [succ_nsmul, hf.intervalIntegral_add_eq_add 0 (m • T) h_int, ih, zero_add] -- Then prove it for all integers cases' n with n n · simp [← this n] · conv_rhs => rw [negSucc_zsmul] have h₀ : Int.negSucc n • T + (n + 1) • T = 0 := by simp; linarith rw [integral_symm, ← (hf.nsmul (n + 1)).funext, neg_inj] simp_rw [integral_comp_add_right, h₀, zero_add, this (n + 1), add_comm T, hf.intervalIntegral_add_eq ((n + 1) • T) 0, zero_add]
17
import Mathlib.Algebra.Module.Defs import Mathlib.LinearAlgebra.Finsupp import Mathlib.LinearAlgebra.FreeModule.Basic import Mathlib.LinearAlgebra.TensorProduct.Tower #align_import algebra.module.projective from "leanprover-community/mathlib"@"405ea5cee7a7070ff8fb8dcb4cfb003532e34bce" universe u v open LinearMap hiding id open Finsupp class Module.Projective (R : Type*) [Semiring R] (P : Type*) [AddCommMonoid P] [Module R P] : Prop where out : ∃ s : P →ₗ[R] P →₀ R, Function.LeftInverse (Finsupp.total P P R id) s #align module.projective Module.Projective namespace Module section Semiring variable {R : Type*} [Semiring R] {P : Type*} [AddCommMonoid P] [Module R P] {M : Type*} [AddCommMonoid M] [Module R M] {N : Type*} [AddCommMonoid N] [Module R N] theorem projective_def : Projective R P ↔ ∃ s : P →ₗ[R] P →₀ R, Function.LeftInverse (Finsupp.total P P R id) s := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align module.projective_def Module.projective_def theorem projective_def' : Projective R P ↔ ∃ s : P →ₗ[R] P →₀ R, Finsupp.total P P R id ∘ₗ s = .id := by simp_rw [projective_def, DFunLike.ext_iff, Function.LeftInverse, comp_apply, id_apply] #align module.projective_def' Module.projective_def'
Mathlib/Algebra/Module/Projective.lean
98
116
theorem projective_lifting_property [h : Projective R P] (f : M →ₗ[R] N) (g : P →ₗ[R] N) (hf : Function.Surjective f) : ∃ h : P →ₗ[R] M, f.comp h = g := by
/- Here's the first step of the proof. Recall that `X →₀ R` is Lean's way of talking about the free `R`-module on a type `X`. The universal property `Finsupp.total` says that to a map `X → N` from a type to an `R`-module, we get an associated R-module map `(X →₀ R) →ₗ N`. Apply this to a (noncomputable) map `P → M` coming from the map `P →ₗ N` and a random splitting of the surjection `M →ₗ N`, and we get a map `φ : (P →₀ R) →ₗ M`. -/ let φ : (P →₀ R) →ₗ[R] M := Finsupp.total _ _ _ fun p => Function.surjInv hf (g p) -- By projectivity we have a map `P →ₗ (P →₀ R)`; cases' h.out with s hs -- Compose to get `P →ₗ M`. This works. use φ.comp s ext p conv_rhs => rw [← hs p] simp [φ, Finsupp.total_apply, Function.surjInv_eq hf, map_finsupp_sum]
17
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory section SameSpace variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {μ : Measure α} {f : α → E}
Mathlib/MeasureTheory/Function/LpSeminorm/CompareExp.lean
26
45
theorem snorm'_le_snorm'_mul_rpow_measure_univ {p q : ℝ} (hp0_lt : 0 < p) (hpq : p ≤ q) (hf : AEStronglyMeasurable f μ) : snorm' f p μ ≤ snorm' f q μ * μ Set.univ ^ (1 / p - 1 / q) := by
have hq0_lt : 0 < q := lt_of_lt_of_le hp0_lt hpq by_cases hpq_eq : p = q · rw [hpq_eq, sub_self, ENNReal.rpow_zero, mul_one] have hpq : p < q := lt_of_le_of_ne hpq hpq_eq let g := fun _ : α => (1 : ℝ≥0∞) have h_rw : (∫⁻ a, (‖f a‖₊ : ℝ≥0∞) ^ p ∂μ) = ∫⁻ a, ((‖f a‖₊ : ℝ≥0∞) * g a) ^ p ∂μ := lintegral_congr fun a => by simp [g] repeat' rw [snorm'] rw [h_rw] let r := p * q / (q - p) have hpqr : 1 / p = 1 / q + 1 / r := by field_simp [r, hp0_lt.ne', hq0_lt.ne'] calc (∫⁻ a : α, (↑‖f a‖₊ * g a) ^ p ∂μ) ^ (1 / p) ≤ (∫⁻ a : α, ↑‖f a‖₊ ^ q ∂μ) ^ (1 / q) * (∫⁻ a : α, g a ^ r ∂μ) ^ (1 / r) := ENNReal.lintegral_Lp_mul_le_Lq_mul_Lr hp0_lt hpq hpqr μ hf.ennnorm aemeasurable_const _ = (∫⁻ a : α, ↑‖f a‖₊ ^ q ∂μ) ^ (1 / q) * μ Set.univ ^ (1 / p - 1 / q) := by rw [hpqr]; simp [r, g]
17
import Mathlib.GroupTheory.QuotientGroup #align_import algebra.char_zero.quotient from "leanprover-community/mathlib"@"d90e4e186f1d18e375dcd4e5b5f6364b01cb3e46" variable {R : Type*} [DivisionRing R] [CharZero R] {p : R} namespace AddSubgroup
Mathlib/Algebra/CharZero/Quotient.lean
20
39
theorem zsmul_mem_zmultiples_iff_exists_sub_div {r : R} {z : ℤ} (hz : z ≠ 0) : z • r ∈ AddSubgroup.zmultiples p ↔ ∃ k : Fin z.natAbs, r - (k : ℕ) • (p / z : R) ∈ AddSubgroup.zmultiples p := by
rw [AddSubgroup.mem_zmultiples_iff] simp_rw [AddSubgroup.mem_zmultiples_iff, div_eq_mul_inv, ← smul_mul_assoc, eq_sub_iff_add_eq] have hz' : (z : R) ≠ 0 := Int.cast_ne_zero.mpr hz conv_rhs => simp (config := { singlePass := true }) only [← (mul_right_injective₀ hz').eq_iff] simp_rw [← zsmul_eq_mul, smul_add, ← mul_smul_comm, zsmul_eq_mul (z : R)⁻¹, mul_inv_cancel hz', mul_one, ← natCast_zsmul, smul_smul, ← add_smul] constructor · rintro ⟨k, h⟩ simp_rw [← h] refine ⟨⟨(k % z).toNat, ?_⟩, k / z, ?_⟩ · rw [← Int.ofNat_lt, Int.toNat_of_nonneg (Int.emod_nonneg _ hz)] exact (Int.emod_lt _ hz).trans_eq (Int.abs_eq_natAbs _) rw [Fin.val_mk, Int.toNat_of_nonneg (Int.emod_nonneg _ hz)] nth_rewrite 3 [← Int.ediv_add_emod k z] rfl · rintro ⟨k, n, h⟩ exact ⟨_, h⟩
17
import Mathlib.Analysis.Quaternion import Mathlib.Analysis.NormedSpace.Exponential import Mathlib.Analysis.SpecialFunctions.Trigonometric.Series #align_import analysis.normed_space.quaternion_exponential from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" open scoped Quaternion Nat open NormedSpace namespace Quaternion @[simp, norm_cast] theorem exp_coe (r : ℝ) : exp ℝ (r : ℍ[ℝ]) = ↑(exp ℝ r) := (map_exp ℝ (algebraMap ℝ ℍ[ℝ]) (continuous_algebraMap _ _) _).symm #align quaternion.exp_coe Quaternion.exp_coe theorem expSeries_even_of_imaginary {q : Quaternion ℝ} (hq : q.re = 0) (n : ℕ) : expSeries ℝ (Quaternion ℝ) (2 * n) (fun _ => q) = ↑((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n) / (2 * n)!) := by rw [expSeries_apply_eq] have hq2 : q ^ 2 = -normSq q := sq_eq_neg_normSq.mpr hq letI k : ℝ := ↑(2 * n)! calc k⁻¹ • q ^ (2 * n) = k⁻¹ • (-normSq q) ^ n := by rw [pow_mul, hq2] _ = k⁻¹ • ↑((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n)) := ?_ _ = ↑((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n) / k) := ?_ · congr 1 rw [neg_pow, normSq_eq_norm_mul_self, pow_mul, sq] push_cast rfl · rw [← coe_mul_eq_smul, div_eq_mul_inv] norm_cast ring_nf
Mathlib/Analysis/NormedSpace/QuaternionExponential.lean
59
78
theorem expSeries_odd_of_imaginary {q : Quaternion ℝ} (hq : q.re = 0) (n : ℕ) : expSeries ℝ (Quaternion ℝ) (2 * n + 1) (fun _ => q) = (((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n + 1) / (2 * n + 1)!) / ‖q‖) • q := by
rw [expSeries_apply_eq] obtain rfl | hq0 := eq_or_ne q 0 · simp have hq2 : q ^ 2 = -normSq q := sq_eq_neg_normSq.mpr hq have hqn := norm_ne_zero_iff.mpr hq0 let k : ℝ := ↑(2 * n + 1)! calc k⁻¹ • q ^ (2 * n + 1) = k⁻¹ • ((-normSq q) ^ n * q) := by rw [pow_succ, pow_mul, hq2] _ = k⁻¹ • ((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n)) • q := ?_ _ = ((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n + 1) / k / ‖q‖) • q := ?_ · congr 1 rw [neg_pow, normSq_eq_norm_mul_self, pow_mul, sq, ← coe_mul_eq_smul] norm_cast · rw [smul_smul] congr 1 simp_rw [pow_succ, mul_div_assoc, div_div_cancel_left' hqn] ring
17
import Mathlib.Topology.EMetricSpace.Paracompact import Mathlib.Topology.Instances.ENNReal import Mathlib.Analysis.Convex.PartitionOfUnity #align_import topology.metric_space.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal NNReal Filter Set Function TopologicalSpace variable {ι X : Type*} namespace EMetric variable [EMetricSpace X] {K : ι → Set X} {U : ι → Set X}
Mathlib/Topology/MetricSpace/PartitionOfUnity.lean
42
61
theorem eventually_nhds_zero_forall_closedBall_subset (hK : ∀ i, IsClosed (K i)) (hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) (x : X) : ∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, ∀ i, p.2 ∈ K i → closedBall p.2 p.1 ⊆ U i := by
suffices ∀ i, x ∈ K i → ∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, closedBall p.2 p.1 ⊆ U i by apply mp_mem ((eventually_all_finite (hfin.point_finite x)).2 this) (mp_mem (@tendsto_snd ℝ≥0∞ _ (𝓝 0) _ _ (hfin.iInter_compl_mem_nhds hK x)) _) apply univ_mem' rintro ⟨r, y⟩ hxy hyU i hi simp only [mem_iInter, mem_compl_iff, not_imp_not, mem_preimage] at hxy exact hyU _ (hxy _ hi) intro i hi rcases nhds_basis_closed_eball.mem_iff.1 ((hU i).mem_nhds <| hKU i hi) with ⟨R, hR₀, hR⟩ rcases ENNReal.lt_iff_exists_nnreal_btwn.mp hR₀ with ⟨r, hr₀, hrR⟩ filter_upwards [prod_mem_prod (eventually_lt_nhds hr₀) (closedBall_mem_nhds x (tsub_pos_iff_lt.2 hrR))] with p hp z hz apply hR calc edist z x ≤ edist z p.2 + edist p.2 x := edist_triangle _ _ _ _ ≤ p.1 + (R - p.1) := add_le_add hz <| le_trans hp.2 <| tsub_le_tsub_left hp.1.out.le _ _ = R := add_tsub_cancel_of_le (lt_trans (by exact hp.1) hrR).le
17
import Mathlib.CategoryTheory.Filtered.Basic import Mathlib.Data.Set.Finite import Mathlib.Data.Set.Subsingleton import Mathlib.Topology.Category.TopCat.Limits.Konig import Mathlib.Tactic.AdaptationNote #align_import category_theory.cofiltered_system from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1" universe u v w open CategoryTheory CategoryTheory.IsCofiltered Set CategoryTheory.FunctorToTypes section FiniteKonig theorem nonempty_sections_of_finite_cofiltered_system.init {J : Type u} [SmallCategory J] [IsCofilteredOrEmpty J] (F : J ⥤ Type u) [hf : ∀ j, Finite (F.obj j)] [hne : ∀ j, Nonempty (F.obj j)] : F.sections.Nonempty := by let F' : J ⥤ TopCat := F ⋙ TopCat.discrete haveI : ∀ j, DiscreteTopology (F'.obj j) := fun _ => ⟨rfl⟩ haveI : ∀ j, Finite (F'.obj j) := hf haveI : ∀ j, Nonempty (F'.obj j) := hne obtain ⟨⟨u, hu⟩⟩ := TopCat.nonempty_limitCone_of_compact_t2_cofiltered_system.{u} F' exact ⟨u, hu⟩ #align nonempty_sections_of_finite_cofiltered_system.init nonempty_sections_of_finite_cofiltered_system.init
Mathlib/CategoryTheory/CofilteredSystem.lean
82
101
theorem nonempty_sections_of_finite_cofiltered_system {J : Type u} [Category.{w} J] [IsCofilteredOrEmpty J] (F : J ⥤ Type v) [∀ j : J, Finite (F.obj j)] [∀ j : J, Nonempty (F.obj j)] : F.sections.Nonempty := by
-- Step 1: lift everything to the `max u v w` universe. let J' : Type max w v u := AsSmall.{max w v} J let down : J' ⥤ J := AsSmall.down let F' : J' ⥤ Type max u v w := down ⋙ F ⋙ uliftFunctor.{max u w, v} haveI : ∀ i, Nonempty (F'.obj i) := fun i => ⟨⟨Classical.arbitrary (F.obj (down.obj i))⟩⟩ haveI : ∀ i, Finite (F'.obj i) := fun i => Finite.of_equiv (F.obj (down.obj i)) Equiv.ulift.symm -- Step 2: apply the bootstrap theorem cases isEmpty_or_nonempty J · fconstructor <;> apply isEmptyElim haveI : IsCofiltered J := ⟨⟩ obtain ⟨u, hu⟩ := nonempty_sections_of_finite_cofiltered_system.init F' -- Step 3: interpret the results use fun j => (u ⟨j⟩).down intro j j' f have h := @hu (⟨j⟩ : J') (⟨j'⟩ : J') (ULift.up f) simp only [F', down, AsSmall.down, Functor.comp_map, uliftFunctor_map, Functor.op_map] at h simp_rw [← h]
17
import Mathlib.NumberTheory.Cyclotomic.PrimitiveRoots import Mathlib.NumberTheory.NumberField.Embeddings universe u namespace IsCyclotomicExtension.Rat open NumberField InfinitePlace FiniteDimensional Complex Nat Polynomial variable {n : ℕ+} (K : Type u) [Field K] [CharZero K] theorem nrRealPlaces_eq_zero [IsCyclotomicExtension {n} ℚ K] (hn : 2 < n) : haveI := IsCyclotomicExtension.numberField {n} ℚ K NrRealPlaces K = 0 := by have := IsCyclotomicExtension.numberField {n} ℚ K apply (IsCyclotomicExtension.zeta_spec n ℚ K).nrRealPlaces_eq_zero_of_two_lt hn variable (n)
Mathlib/NumberTheory/Cyclotomic/Embeddings.lean
41
60
theorem nrComplexPlaces_eq_totient_div_two [h : IsCyclotomicExtension {n} ℚ K] : haveI := IsCyclotomicExtension.numberField {n} ℚ K NrComplexPlaces K = φ n / 2 := by
have := IsCyclotomicExtension.numberField {n} ℚ K by_cases hn : 2 < n · obtain ⟨k, hk : φ n = k + k⟩ := totient_even hn have key := card_add_two_mul_card_eq_rank K rw [nrRealPlaces_eq_zero K hn, zero_add, IsCyclotomicExtension.finrank (n := n) K (cyclotomic.irreducible_rat n.pos), hk, ← two_mul, Nat.mul_right_inj (by norm_num)] at key simp [hk, key, ← two_mul] · have : φ n = 1 := by by_cases h1 : 1 < n.1 · convert totient_two exact (eq_of_le_of_not_lt (succ_le_of_lt h1) hn).symm · convert totient_one rw [← PNat.one_coe, PNat.coe_inj] exact eq_of_le_of_not_lt (not_lt.mp h1) (PNat.not_lt_one _) rw [this] apply nrComplexPlaces_eq_zero_of_finrank_eq_one rw [IsCyclotomicExtension.finrank K (cyclotomic.irreducible_rat n.pos), this]
17
import Mathlib.Topology.Order.ExtendFrom import Mathlib.Topology.Algebra.Order.Compact import Mathlib.Topology.Order.LocalExtr import Mathlib.Topology.Order.T5 #align_import analysis.calculus.local_extr from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open Filter Set Topology variable {X Y : Type*} [ConditionallyCompleteLinearOrder X] [DenselyOrdered X] [TopologicalSpace X] [OrderTopology X] [LinearOrder Y] [TopologicalSpace Y] [OrderTopology Y] {f : X → Y} {a b : X} {l : Y}
Mathlib/Topology/Algebra/Order/Rolle.lean
37
55
theorem exists_Ioo_extr_on_Icc (hab : a < b) (hfc : ContinuousOn f (Icc a b)) (hfI : f a = f b) : ∃ c ∈ Ioo a b, IsExtrOn f (Icc a b) c := by
have ne : (Icc a b).Nonempty := nonempty_Icc.2 (le_of_lt hab) -- Consider absolute min and max points obtain ⟨c, cmem, cle⟩ : ∃ c ∈ Icc a b, ∀ x ∈ Icc a b, f c ≤ f x := isCompact_Icc.exists_isMinOn ne hfc obtain ⟨C, Cmem, Cge⟩ : ∃ C ∈ Icc a b, ∀ x ∈ Icc a b, f x ≤ f C := isCompact_Icc.exists_isMaxOn ne hfc by_cases hc : f c = f a · by_cases hC : f C = f a · have : ∀ x ∈ Icc a b, f x = f a := fun x hx => le_antisymm (hC ▸ Cge x hx) (hc ▸ cle x hx) -- `f` is a constant, so we can take any point in `Ioo a b` rcases nonempty_Ioo.2 hab with ⟨c', hc'⟩ refine ⟨c', hc', Or.inl fun x hx ↦ ?_⟩ simp only [mem_setOf_eq, this x hx, this c' (Ioo_subset_Icc_self hc'), le_rfl] · refine ⟨C, ⟨lt_of_le_of_ne Cmem.1 <| mt ?_ hC, lt_of_le_of_ne Cmem.2 <| mt ?_ hC⟩, Or.inr Cge⟩ exacts [fun h => by rw [h], fun h => by rw [h, hfI]] · refine ⟨c, ⟨lt_of_le_of_ne cmem.1 <| mt ?_ hc, lt_of_le_of_ne cmem.2 <| mt ?_ hc⟩, Or.inl cle⟩ exacts [fun h => by rw [h], fun h => by rw [h, hfI]]
17
import Mathlib.Topology.Separation #align_import topology.extend_from from "leanprover-community/mathlib"@"b363547b3113d350d053abdf2884e9850a56b205" noncomputable section open Topology open Filter Set variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] def extendFrom (A : Set X) (f : X → Y) : X → Y := fun x ↦ @limUnder _ _ _ ⟨f x⟩ (𝓝[A] x) f #align extend_from extendFrom theorem tendsto_extendFrom {A : Set X} {f : X → Y} {x : X} (h : ∃ y, Tendsto f (𝓝[A] x) (𝓝 y)) : Tendsto f (𝓝[A] x) (𝓝 <| extendFrom A f x) := tendsto_nhds_limUnder h #align tendsto_extend_from tendsto_extendFrom theorem extendFrom_eq [T2Space Y] {A : Set X} {f : X → Y} {x : X} {y : Y} (hx : x ∈ closure A) (hf : Tendsto f (𝓝[A] x) (𝓝 y)) : extendFrom A f x = y := haveI := mem_closure_iff_nhdsWithin_neBot.mp hx tendsto_nhds_unique (tendsto_nhds_limUnder ⟨y, hf⟩) hf #align extend_from_eq extendFrom_eq theorem extendFrom_extends [T2Space Y] {f : X → Y} {A : Set X} (hf : ContinuousOn f A) : ∀ x ∈ A, extendFrom A f x = f x := fun x x_in ↦ extendFrom_eq (subset_closure x_in) (hf x x_in) #align extend_from_extends extendFrom_extends
Mathlib/Topology/ExtendFrom.lean
63
81
theorem continuousOn_extendFrom [RegularSpace Y] {f : X → Y} {A B : Set X} (hB : B ⊆ closure A) (hf : ∀ x ∈ B, ∃ y, Tendsto f (𝓝[A] x) (𝓝 y)) : ContinuousOn (extendFrom A f) B := by
set φ := extendFrom A f intro x x_in suffices ∀ V' ∈ 𝓝 (φ x), IsClosed V' → φ ⁻¹' V' ∈ 𝓝[B] x by simpa [ContinuousWithinAt, (closed_nhds_basis (φ x)).tendsto_right_iff] intro V' V'_in V'_closed obtain ⟨V, V_in, V_op, hV⟩ : ∃ V ∈ 𝓝 x, IsOpen V ∧ V ∩ A ⊆ f ⁻¹' V' := by have := tendsto_extendFrom (hf x x_in) rcases (nhdsWithin_basis_open x A).tendsto_left_iff.mp this V' V'_in with ⟨V, ⟨hxV, V_op⟩, hV⟩ exact ⟨V, IsOpen.mem_nhds V_op hxV, V_op, hV⟩ suffices ∀ y ∈ V ∩ B, φ y ∈ V' from mem_of_superset (inter_mem_inf V_in <| mem_principal_self B) this rintro y ⟨hyV, hyB⟩ haveI := mem_closure_iff_nhdsWithin_neBot.mp (hB hyB) have limy : Tendsto f (𝓝[A] y) (𝓝 <| φ y) := tendsto_extendFrom (hf y hyB) have hVy : V ∈ 𝓝 y := IsOpen.mem_nhds V_op hyV have : V ∩ A ∈ 𝓝[A] y := by simpa only [inter_comm] using inter_mem_nhdsWithin A hVy exact V'_closed.mem_of_tendsto limy (mem_of_superset this hV)
17
import Mathlib.CategoryTheory.Preadditive.AdditiveFunctor import Mathlib.CategoryTheory.Monoidal.Functor #align_import category_theory.monoidal.preadditive from "leanprover-community/mathlib"@"986c4d5761f938b2e1c43c01f001b6d9d88c2055" noncomputable section open scoped Classical namespace CategoryTheory open CategoryTheory.Limits open CategoryTheory.MonoidalCategory variable (C : Type*) [Category C] [Preadditive C] [MonoidalCategory C] class MonoidalPreadditive : Prop where whiskerLeft_zero : ∀ {X Y Z : C}, X ◁ (0 : Y ⟶ Z) = 0 := by aesop_cat zero_whiskerRight : ∀ {X Y Z : C}, (0 : Y ⟶ Z) ▷ X = 0 := by aesop_cat whiskerLeft_add : ∀ {X Y Z : C} (f g : Y ⟶ Z), X ◁ (f + g) = X ◁ f + X ◁ g := by aesop_cat add_whiskerRight : ∀ {X Y Z : C} (f g : Y ⟶ Z), (f + g) ▷ X = f ▷ X + g ▷ X := by aesop_cat #align category_theory.monoidal_preadditive CategoryTheory.MonoidalPreadditive attribute [simp] MonoidalPreadditive.whiskerLeft_zero MonoidalPreadditive.zero_whiskerRight attribute [simp] MonoidalPreadditive.whiskerLeft_add MonoidalPreadditive.add_whiskerRight variable {C} variable [MonoidalPreadditive C] instance tensorLeft_additive (X : C) : (tensorLeft X).Additive where #align category_theory.tensor_left_additive CategoryTheory.tensorLeft_additive instance tensorRight_additive (X : C) : (tensorRight X).Additive where #align category_theory.tensor_right_additive CategoryTheory.tensorRight_additive instance tensoringLeft_additive (X : C) : ((tensoringLeft C).obj X).Additive where #align category_theory.tensoring_left_additive CategoryTheory.tensoringLeft_additive instance tensoringRight_additive (X : C) : ((tensoringRight C).obj X).Additive where #align category_theory.tensoring_right_additive CategoryTheory.tensoringRight_additive
Mathlib/CategoryTheory/Monoidal/Preadditive.lean
82
102
theorem monoidalPreadditive_of_faithful {D} [Category D] [Preadditive D] [MonoidalCategory D] (F : MonoidalFunctor D C) [F.Faithful] [F.Additive] : MonoidalPreadditive D := { whiskerLeft_zero := by
intros apply F.toFunctor.map_injective simp [F.map_whiskerLeft] zero_whiskerRight := by intros apply F.toFunctor.map_injective simp [F.map_whiskerRight] whiskerLeft_add := by intros apply F.toFunctor.map_injective simp only [F.map_whiskerLeft, Functor.map_add, Preadditive.comp_add, Preadditive.add_comp, MonoidalPreadditive.whiskerLeft_add] add_whiskerRight := by intros apply F.toFunctor.map_injective simp only [F.map_whiskerRight, Functor.map_add, Preadditive.comp_add, Preadditive.add_comp, MonoidalPreadditive.add_whiskerRight] }
17
import Mathlib.CategoryTheory.Linear.Basic import Mathlib.CategoryTheory.Preadditive.Biproducts import Mathlib.LinearAlgebra.Matrix.InvariantBasisNumber import Mathlib.Data.Set.Subsingleton #align_import category_theory.preadditive.hom_orthogonal from "leanprover-community/mathlib"@"829895f162a1f29d0133f4b3538f4cd1fb5bffd3" open scoped Classical open Matrix CategoryTheory.Limits universe v u namespace CategoryTheory variable {C : Type u} [Category.{v} C] def HomOrthogonal {ι : Type*} (s : ι → C) : Prop := Pairwise fun i j => Subsingleton (s i ⟶ s j) #align category_theory.hom_orthogonal CategoryTheory.HomOrthogonal namespace HomOrthogonal variable {ι : Type*} {s : ι → C} theorem eq_zero [HasZeroMorphisms C] (o : HomOrthogonal s) {i j : ι} (w : i ≠ j) (f : s i ⟶ s j) : f = 0 := (o w).elim _ _ #align category_theory.hom_orthogonal.eq_zero CategoryTheory.HomOrthogonal.eq_zero section variable [HasZeroMorphisms C] [HasFiniteBiproducts C] @[simps] noncomputable def matrixDecomposition (o : HomOrthogonal s) {α β : Type} [Finite α] [Finite β] {f : α → ι} {g : β → ι} : ((⨁ fun a => s (f a)) ⟶ ⨁ fun b => s (g b)) ≃ ∀ i : ι, Matrix (g ⁻¹' {i}) (f ⁻¹' {i}) (End (s i)) where toFun z i j k := eqToHom (by rcases k with ⟨k, ⟨⟩⟩ simp) ≫ biproduct.components z k j ≫ eqToHom (by rcases j with ⟨j, ⟨⟩⟩ simp) invFun z := biproduct.matrix fun j k => if h : f j = g k then z (f j) ⟨k, by simp [h]⟩ ⟨j, by simp⟩ ≫ eqToHom (by simp [h]) else 0 left_inv z := by ext j k simp only [biproduct.matrix_π, biproduct.ι_desc] split_ifs with h · simp rfl · symm apply o.eq_zero h right_inv z := by ext i ⟨j, w⟩ ⟨k, ⟨⟩⟩ simp only [eqToHom_refl, biproduct.matrix_components, Category.id_comp] split_ifs with h · simp · exfalso exact h w.symm #align category_theory.hom_orthogonal.matrix_decomposition CategoryTheory.HomOrthogonal.matrixDecomposition end section variable [Preadditive C] [HasFiniteBiproducts C] @[simps!] noncomputable def matrixDecompositionAddEquiv (o : HomOrthogonal s) {α β : Type} [Finite α] [Finite β] {f : α → ι} {g : β → ι} : ((⨁ fun a => s (f a)) ⟶ ⨁ fun b => s (g b)) ≃+ ∀ i : ι, Matrix (g ⁻¹' {i}) (f ⁻¹' {i}) (End (s i)) := { o.matrixDecomposition with map_add' := fun w z => by ext dsimp [biproduct.components] simp } #align category_theory.hom_orthogonal.matrix_decomposition_add_equiv CategoryTheory.HomOrthogonal.matrixDecompositionAddEquiv @[simp] theorem matrixDecomposition_id (o : HomOrthogonal s) {α : Type} [Finite α] {f : α → ι} (i : ι) : o.matrixDecomposition (𝟙 (⨁ fun a => s (f a))) i = 1 := by ext ⟨b, ⟨⟩⟩ ⟨a, j_property⟩ simp only [Set.mem_preimage, Set.mem_singleton_iff] at j_property simp only [Category.comp_id, Category.id_comp, Category.assoc, End.one_def, eqToHom_refl, Matrix.one_apply, HomOrthogonal.matrixDecomposition_apply, biproduct.components] split_ifs with h · cases h simp · simp at h -- Porting note: used to be `convert comp_zero`, but that does not work anymore have : biproduct.ι (fun a ↦ s (f a)) a ≫ biproduct.π (fun b ↦ s (f b)) b = 0 := by simpa using biproduct.ι_π_ne _ (Ne.symm h) rw [this, comp_zero] #align category_theory.hom_orthogonal.matrix_decomposition_id CategoryTheory.HomOrthogonal.matrixDecomposition_id
Mathlib/CategoryTheory/Preadditive/HomOrthogonal.lean
146
166
theorem matrixDecomposition_comp (o : HomOrthogonal s) {α β γ : Type} [Finite α] [Fintype β] [Finite γ] {f : α → ι} {g : β → ι} {h : γ → ι} (z : (⨁ fun a => s (f a)) ⟶ ⨁ fun b => s (g b)) (w : (⨁ fun b => s (g b)) ⟶ ⨁ fun c => s (h c)) (i : ι) : o.matrixDecomposition (z ≫ w) i = o.matrixDecomposition w i * o.matrixDecomposition z i := by
ext ⟨c, ⟨⟩⟩ ⟨a, j_property⟩ simp only [Set.mem_preimage, Set.mem_singleton_iff] at j_property simp only [Matrix.mul_apply, Limits.biproduct.components, HomOrthogonal.matrixDecomposition_apply, Category.comp_id, Category.id_comp, Category.assoc, End.mul_def, eqToHom_refl, eqToHom_trans_assoc, Finset.sum_congr] conv_lhs => rw [← Category.id_comp w, ← biproduct.total] simp only [Preadditive.sum_comp, Preadditive.comp_sum] apply Finset.sum_congr_set · intros simp · intro b nm simp only [Set.mem_preimage, Set.mem_singleton_iff] at nm simp only [Category.assoc] -- Porting note: this used to be 4 times `convert comp_zero` have : biproduct.ι (fun b ↦ s (g b)) b ≫ w ≫ biproduct.π (fun b ↦ s (h b)) c = 0 := by apply o.eq_zero nm simp only [this, comp_zero]
17
import Mathlib.Analysis.BoxIntegral.DivergenceTheorem import Mathlib.Analysis.BoxIntegral.Integrability import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Integral.IntervalIntegral import Mathlib.Analysis.Calculus.FDeriv.Equiv #align_import measure_theory.integral.divergence_theorem from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open Set Finset TopologicalSpace Function BoxIntegral MeasureTheory Filter open scoped Classical Topology Interval universe u namespace MeasureTheory variable {E : Type u} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] section variable {n : ℕ} local macro:arg t:term:max noWs "ⁿ" : term => `(Fin n → $t) local macro:arg t:term:max noWs "ⁿ⁺¹" : term => `(Fin (n + 1) → $t) local notation "e " i => Pi.single i 1 section
Mathlib/MeasureTheory/Integral/DivergenceTheorem.lean
111
137
theorem integral_divergence_of_hasFDerivWithinAt_off_countable_aux₁ (I : Box (Fin (n + 1))) (f : ℝⁿ⁺¹ → Eⁿ⁺¹) (f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹) (s : Set ℝⁿ⁺¹) (hs : s.Countable) (Hc : ContinuousOn f (Box.Icc I)) (Hd : ∀ x ∈ (Box.Icc I) \ s, HasFDerivWithinAt f (f' x) (Box.Icc I) x) (Hi : IntegrableOn (fun x => ∑ i, f' x (e i) i) (Box.Icc I)) : (∫ x in Box.Icc I, ∑ i, f' x (e i) i) = ∑ i : Fin (n + 1), ((∫ x in Box.Icc (I.face i), f (i.insertNth (I.upper i) x) i) - ∫ x in Box.Icc (I.face i), f (i.insertNth (I.lower i) x) i) := by
simp only [← setIntegral_congr_set_ae (Box.coe_ae_eq_Icc _)] have A := (Hi.mono_set Box.coe_subset_Icc).hasBoxIntegral ⊥ rfl have B := hasIntegral_GP_divergence_of_forall_hasDerivWithinAt I f f' (s ∩ Box.Icc I) (hs.mono inter_subset_left) (fun x hx => Hc _ hx.2) fun x hx => Hd _ ⟨hx.1, fun h => hx.2 ⟨h, hx.1⟩⟩ rw [continuousOn_pi] at Hc refine (A.unique B).trans (sum_congr rfl fun i _ => ?_) refine congr_arg₂ Sub.sub ?_ ?_ · have := Box.continuousOn_face_Icc (Hc i) (Set.right_mem_Icc.2 (I.lower_le_upper i)) have := (this.integrableOn_compact (μ := volume) (Box.isCompact_Icc _)).mono_set Box.coe_subset_Icc exact (this.hasBoxIntegral ⊥ rfl).integral_eq · have := Box.continuousOn_face_Icc (Hc i) (Set.left_mem_Icc.2 (I.lower_le_upper i)) have := (this.integrableOn_compact (μ := volume) (Box.isCompact_Icc _)).mono_set Box.coe_subset_Icc exact (this.hasBoxIntegral ⊥ rfl).integral_eq
17
import Mathlib.CategoryTheory.Sites.IsSheafFor import Mathlib.CategoryTheory.Limits.Shapes.Types import Mathlib.Tactic.ApplyFun #align_import category_theory.sites.sheaf_of_types from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe w v u namespace CategoryTheory open Opposite CategoryTheory Category Limits Sieve namespace Equalizer variable {C : Type u} [Category.{v} C] (P : Cᵒᵖ ⥤ Type max v u) {X : C} (R : Presieve X) (S : Sieve X) noncomputable section def FirstObj : Type max v u := ∏ᶜ fun f : ΣY, { f : Y ⟶ X // R f } => P.obj (op f.1) #align category_theory.equalizer.first_obj CategoryTheory.Equalizer.FirstObj variable {P R} -- Porting note (#10688): added to ease automation @[ext] lemma FirstObj.ext (z₁ z₂ : FirstObj P R) (h : ∀ (Y : C) (f : Y ⟶ X) (hf : R f), (Pi.π _ ⟨Y, f, hf⟩ : FirstObj P R ⟶ _) z₁ = (Pi.π _ ⟨Y, f, hf⟩ : FirstObj P R ⟶ _) z₂) : z₁ = z₂ := by apply Limits.Types.limit_ext rintro ⟨⟨Y, f, hf⟩⟩ exact h Y f hf variable (P R) @[simps] def firstObjEqFamily : FirstObj P R ≅ R.FamilyOfElements P where hom t Y f hf := Pi.π (fun f : ΣY, { f : Y ⟶ X // R f } => P.obj (op f.1)) ⟨_, _, hf⟩ t inv := Pi.lift fun f x => x _ f.2.2 #align category_theory.equalizer.first_obj_eq_family CategoryTheory.Equalizer.firstObjEqFamily instance : Inhabited (FirstObj P (⊥ : Presieve X)) := (firstObjEqFamily P _).toEquiv.inhabited -- Porting note: was not needed in mathlib instance : Inhabited (FirstObj P ((⊥ : Sieve X) : Presieve X)) := (inferInstance : Inhabited (FirstObj P (⊥ : Presieve X))) def forkMap : P.obj (op X) ⟶ FirstObj P R := Pi.lift fun f => P.map f.2.1.op #align category_theory.equalizer.fork_map CategoryTheory.Equalizer.forkMap namespace Sieve def SecondObj : Type max v u := ∏ᶜ fun f : Σ(Y Z : _) (_ : Z ⟶ Y), { f' : Y ⟶ X // S f' } => P.obj (op f.2.1) #align category_theory.equalizer.sieve.second_obj CategoryTheory.Equalizer.Sieve.SecondObj variable {P S} -- Porting note (#10688): added to ease automation @[ext] lemma SecondObj.ext (z₁ z₂ : SecondObj P S) (h : ∀ (Y Z : C) (g : Z ⟶ Y) (f : Y ⟶ X) (hf : S.arrows f), (Pi.π _ ⟨Y, Z, g, f, hf⟩ : SecondObj P S ⟶ _) z₁ = (Pi.π _ ⟨Y, Z, g, f, hf⟩ : SecondObj P S ⟶ _) z₂) : z₁ = z₂ := by apply Limits.Types.limit_ext rintro ⟨⟨Y, Z, g, f, hf⟩⟩ apply h variable (P S) def firstMap : FirstObj P (S : Presieve X) ⟶ SecondObj P S := Pi.lift fun fg => Pi.π _ (⟨_, _, S.downward_closed fg.2.2.2.2 fg.2.2.1⟩ : ΣY, { f : Y ⟶ X // S f }) #align category_theory.equalizer.sieve.first_map CategoryTheory.Equalizer.Sieve.firstMap instance : Inhabited (SecondObj P (⊥ : Sieve X)) := ⟨firstMap _ _ default⟩ def secondMap : FirstObj P (S : Presieve X) ⟶ SecondObj P S := Pi.lift fun fg => Pi.π _ ⟨_, fg.2.2.2⟩ ≫ P.map fg.2.2.1.op #align category_theory.equalizer.sieve.second_map CategoryTheory.Equalizer.Sieve.secondMap theorem w : forkMap P (S : Presieve X) ≫ firstMap P S = forkMap P S ≫ secondMap P S := by ext simp [firstMap, secondMap, forkMap] #align category_theory.equalizer.sieve.w CategoryTheory.Equalizer.Sieve.w theorem compatible_iff (x : FirstObj P S) : ((firstObjEqFamily P S).hom x).Compatible ↔ firstMap P S x = secondMap P S x := by rw [Presieve.compatible_iff_sieveCompatible] constructor · intro t apply SecondObj.ext intros Y Z g f hf simpa [firstMap, secondMap] using t _ g hf · intro t Y Z f g hf rw [Types.limit_ext_iff'] at t simpa [firstMap, secondMap] using t ⟨⟨Y, Z, g, f, hf⟩⟩ #align category_theory.equalizer.sieve.compatible_iff CategoryTheory.Equalizer.Sieve.compatible_iff
Mathlib/CategoryTheory/Sites/EqualizerSheafCondition.lean
156
174
theorem equalizer_sheaf_condition : Presieve.IsSheafFor P (S : Presieve X) ↔ Nonempty (IsLimit (Fork.ofι _ (w P S))) := by
rw [Types.type_equalizer_iff_unique, ← Equiv.forall_congr_left (firstObjEqFamily P (S : Presieve X)).toEquiv.symm] simp_rw [← compatible_iff] simp only [inv_hom_id_apply, Iso.toEquiv_symm_fun] apply forall₂_congr intro x _ apply exists_unique_congr intro t rw [← Iso.toEquiv_symm_fun] rw [Equiv.eq_symm_apply] constructor · intro q funext Y f hf simpa [firstObjEqFamily, forkMap] using q _ _ · intro q Y f hf rw [← q] simp [firstObjEqFamily, forkMap]
17
import Mathlib.Analysis.Calculus.MeanValue import Mathlib.Analysis.NormedSpace.RCLike import Mathlib.Order.Filter.Curry #align_import analysis.calculus.uniform_limits_deriv from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b" open Filter open scoped uniformity Filter Topology section deriv variable {ι : Type*} {l : Filter ι} {𝕜 : Type*} [RCLike 𝕜] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] {f : ι → 𝕜 → G} {g : 𝕜 → G} {f' : ι → 𝕜 → G} {g' : 𝕜 → G} {x : 𝕜}
Mathlib/Analysis/Calculus/UniformLimitsDeriv.lean
455
474
theorem UniformCauchySeqOnFilter.one_smulRight {l' : Filter 𝕜} (hf' : UniformCauchySeqOnFilter f' l l') : UniformCauchySeqOnFilter (fun n => fun z => (1 : 𝕜 →L[𝕜] 𝕜).smulRight (f' n z)) l l' := by
-- The tricky part of this proof is that operator norms are written in terms of `≤` whereas -- metrics are written in terms of `<`. So we need to shrink `ε` utilizing the archimedean -- property of `ℝ` rw [SeminormedAddGroup.uniformCauchySeqOnFilter_iff_tendstoUniformlyOnFilter_zero, Metric.tendstoUniformlyOnFilter_iff] at hf' ⊢ intro ε hε obtain ⟨q, hq, hq'⟩ := exists_between hε.lt apply (hf' q hq).mono intro n hn refine lt_of_le_of_lt ?_ hq' simp only [dist_eq_norm, Pi.zero_apply, zero_sub, norm_neg] at hn ⊢ refine ContinuousLinearMap.opNorm_le_bound _ hq.le ?_ intro z simp only [ContinuousLinearMap.coe_sub', Pi.sub_apply, ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.one_apply] rw [← smul_sub, norm_smul, mul_comm] gcongr
17
import Mathlib.LinearAlgebra.Matrix.Gershgorin import Mathlib.NumberTheory.NumberField.CanonicalEmbedding.ConvexBody import Mathlib.NumberTheory.NumberField.Units.Basic import Mathlib.RingTheory.RootsOfUnity.Basic #align_import number_theory.number_field.units from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a" open scoped NumberField noncomputable section open NumberField NumberField.InfinitePlace NumberField.Units BigOperators variable (K : Type*) [Field K] [NumberField K] namespace NumberField.Units.dirichletUnitTheorem open scoped Classical open Finset variable {K} def w₀ : InfinitePlace K := (inferInstance : Nonempty (InfinitePlace K)).some variable (K) def logEmbedding : Additive ((𝓞 K)ˣ) →+ ({w : InfinitePlace K // w ≠ w₀} → ℝ) := { toFun := fun x w => mult w.val * Real.log (w.val ↑(Additive.toMul x)) map_zero' := by simp; rfl map_add' := fun _ _ => by simp [Real.log_mul, mul_add]; rfl } variable {K} @[simp] theorem logEmbedding_component (x : (𝓞 K)ˣ) (w : {w : InfinitePlace K // w ≠ w₀}) : (logEmbedding K x) w = mult w.val * Real.log (w.val x) := rfl theorem sum_logEmbedding_component (x : (𝓞 K)ˣ) : ∑ w, logEmbedding K x w = - mult (w₀ : InfinitePlace K) * Real.log (w₀ (x : K)) := by have h := congr_arg Real.log (prod_eq_abs_norm (x : K)) rw [show |(Algebra.norm ℚ) (x : K)| = 1 from isUnit_iff_norm.mp x.isUnit, Rat.cast_one, Real.log_one, Real.log_prod] at h · simp_rw [Real.log_pow] at h rw [← insert_erase (mem_univ w₀), sum_insert (not_mem_erase w₀ univ), add_comm, add_eq_zero_iff_eq_neg] at h convert h using 1 · refine (sum_subtype _ (fun w => ?_) (fun w => (mult w) * (Real.log (w (x : K))))).symm exact ⟨ne_of_mem_erase, fun h => mem_erase_of_ne_of_mem h (mem_univ w)⟩ · norm_num · exact fun w _ => pow_ne_zero _ (AbsoluteValue.ne_zero _ (coe_ne_zero x)) theorem mult_log_place_eq_zero {x : (𝓞 K)ˣ} {w : InfinitePlace K} : mult w * Real.log (w x) = 0 ↔ w x = 1 := by rw [mul_eq_zero, or_iff_right, Real.log_eq_zero, or_iff_right, or_iff_left] · linarith [(apply_nonneg _ _ : 0 ≤ w x)] · simp only [ne_eq, map_eq_zero, coe_ne_zero x, not_false_eq_true] · refine (ne_of_gt ?_) rw [mult]; split_ifs <;> norm_num theorem logEmbedding_eq_zero_iff {x : (𝓞 K)ˣ} : logEmbedding K x = 0 ↔ x ∈ torsion K := by rw [mem_torsion] refine ⟨fun h w => ?_, fun h => ?_⟩ · by_cases hw : w = w₀ · suffices -mult w₀ * Real.log (w₀ (x : K)) = 0 by rw [neg_mul, neg_eq_zero, ← hw] at this exact mult_log_place_eq_zero.mp this rw [← sum_logEmbedding_component, sum_eq_zero] exact fun w _ => congrFun h w · exact mult_log_place_eq_zero.mp (congrFun h ⟨w, hw⟩) · ext w rw [logEmbedding_component, h w.val, Real.log_one, mul_zero, Pi.zero_apply] theorem logEmbedding_component_le {r : ℝ} {x : (𝓞 K)ˣ} (hr : 0 ≤ r) (h : ‖logEmbedding K x‖ ≤ r) (w : {w : InfinitePlace K // w ≠ w₀}) : |logEmbedding K x w| ≤ r := by lift r to NNReal using hr simp_rw [Pi.norm_def, NNReal.coe_le_coe, Finset.sup_le_iff, ← NNReal.coe_le_coe] at h exact h w (mem_univ _) theorem log_le_of_logEmbedding_le {r : ℝ} {x : (𝓞 K)ˣ} (hr : 0 ≤ r) (h : ‖logEmbedding K x‖ ≤ r) (w : InfinitePlace K) : |Real.log (w x)| ≤ (Fintype.card (InfinitePlace K)) * r := by have tool : ∀ x : ℝ, 0 ≤ x → x ≤ mult w * x := fun x hx => by nth_rw 1 [← one_mul x] refine mul_le_mul ?_ le_rfl hx ?_ all_goals { rw [mult]; split_ifs <;> norm_num } by_cases hw : w = w₀ · have hyp := congr_arg (‖·‖) (sum_logEmbedding_component x).symm replace hyp := (le_of_eq hyp).trans (norm_sum_le _ _) simp_rw [norm_mul, norm_neg, Real.norm_eq_abs, Nat.abs_cast] at hyp refine (le_trans ?_ hyp).trans ?_ · rw [← hw] exact tool _ (abs_nonneg _) · refine (sum_le_card_nsmul univ _ _ (fun w _ => logEmbedding_component_le hr h w)).trans ?_ rw [nsmul_eq_mul] refine mul_le_mul ?_ le_rfl hr (Fintype.card (InfinitePlace K)).cast_nonneg simp [card_univ] · have hyp := logEmbedding_component_le hr h ⟨w, hw⟩ rw [logEmbedding_component, abs_mul, Nat.abs_cast] at hyp refine (le_trans ?_ hyp).trans ?_ · exact tool _ (abs_nonneg _) · nth_rw 1 [← one_mul r] exact mul_le_mul (Nat.one_le_cast.mpr Fintype.card_pos) (le_of_eq rfl) hr (Nat.cast_nonneg _) variable (K) noncomputable def _root_.NumberField.Units.unitLattice : AddSubgroup ({w : InfinitePlace K // w ≠ w₀} → ℝ) := AddSubgroup.map (logEmbedding K) ⊤
Mathlib/NumberTheory/NumberField/Units/DirichletTheorem.lean
160
179
theorem unitLattice_inter_ball_finite (r : ℝ) : ((unitLattice K : Set ({ w : InfinitePlace K // w ≠ w₀} → ℝ)) ∩ Metric.closedBall 0 r).Finite := by
obtain hr | hr := lt_or_le r 0 · convert Set.finite_empty rw [Metric.closedBall_eq_empty.mpr hr] exact Set.inter_empty _ · suffices {x : (𝓞 K)ˣ | IsIntegral ℤ (x : K) ∧ ∀ (φ : K →+* ℂ), ‖φ x‖ ≤ Real.exp ((Fintype.card (InfinitePlace K)) * r)}.Finite by refine (Set.Finite.image (logEmbedding K) this).subset ?_ rintro _ ⟨⟨x, ⟨_, rfl⟩⟩, hx⟩ refine ⟨x, ⟨x.val.prop, (le_iff_le _ _).mp (fun w => (Real.log_le_iff_le_exp ?_).mp ?_)⟩, rfl⟩ · exact pos_iff.mpr (coe_ne_zero x) · rw [mem_closedBall_zero_iff] at hx exact (le_abs_self _).trans (log_le_of_logEmbedding_le hr hx w) refine Set.Finite.of_finite_image ?_ (coe_injective K).injOn refine (Embeddings.finite_of_norm_le K ℂ (Real.exp ((Fintype.card (InfinitePlace K)) * r))).subset ?_ rintro _ ⟨x, ⟨⟨h_int, h_le⟩, rfl⟩⟩ exact ⟨h_int, h_le⟩
17
import Mathlib.Analysis.Normed.Group.Pointwise import Mathlib.Analysis.NormedSpace.Real #align_import analysis.normed_space.pointwise from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156" open Metric Set open Pointwise Topology variable {𝕜 E : Type*} variable [NormedField 𝕜] section SeminormedAddCommGroup variable [SeminormedAddCommGroup E] [NormedSpace 𝕜 E] theorem smul_ball {c : 𝕜} (hc : c ≠ 0) (x : E) (r : ℝ) : c • ball x r = ball (c • x) (‖c‖ * r) := by ext y rw [mem_smul_set_iff_inv_smul_mem₀ hc] conv_lhs => rw [← inv_smul_smul₀ hc x] simp [← div_eq_inv_mul, div_lt_iff (norm_pos_iff.2 hc), mul_comm _ r, dist_smul₀] #align smul_ball smul_ball theorem smul_unitBall {c : 𝕜} (hc : c ≠ 0) : c • ball (0 : E) (1 : ℝ) = ball (0 : E) ‖c‖ := by rw [_root_.smul_ball hc, smul_zero, mul_one] #align smul_unit_ball smul_unitBall theorem smul_sphere' {c : 𝕜} (hc : c ≠ 0) (x : E) (r : ℝ) : c • sphere x r = sphere (c • x) (‖c‖ * r) := by ext y rw [mem_smul_set_iff_inv_smul_mem₀ hc] conv_lhs => rw [← inv_smul_smul₀ hc x] simp only [mem_sphere, dist_smul₀, norm_inv, ← div_eq_inv_mul, div_eq_iff (norm_pos_iff.2 hc).ne', mul_comm r] #align smul_sphere' smul_sphere' theorem smul_closedBall' {c : 𝕜} (hc : c ≠ 0) (x : E) (r : ℝ) : c • closedBall x r = closedBall (c • x) (‖c‖ * r) := by simp only [← ball_union_sphere, Set.smul_set_union, _root_.smul_ball hc, smul_sphere' hc] #align smul_closed_ball' smul_closedBall' theorem set_smul_sphere_zero {s : Set 𝕜} (hs : 0 ∉ s) (r : ℝ) : s • sphere (0 : E) r = (‖·‖) ⁻¹' ((‖·‖ * r) '' s) := calc s • sphere (0 : E) r = ⋃ c ∈ s, c • sphere (0 : E) r := iUnion_smul_left_image.symm _ = ⋃ c ∈ s, sphere (0 : E) (‖c‖ * r) := iUnion₂_congr fun c hc ↦ by rw [smul_sphere' (ne_of_mem_of_not_mem hc hs), smul_zero] _ = (‖·‖) ⁻¹' ((‖·‖ * r) '' s) := by ext; simp [eq_comm] theorem Bornology.IsBounded.smul₀ {s : Set E} (hs : IsBounded s) (c : 𝕜) : IsBounded (c • s) := (lipschitzWith_smul c).isBounded_image hs #align metric.bounded.smul Bornology.IsBounded.smul₀
Mathlib/Analysis/NormedSpace/Pointwise.lean
125
143
theorem eventually_singleton_add_smul_subset {x : E} {s : Set E} (hs : Bornology.IsBounded s) {u : Set E} (hu : u ∈ 𝓝 x) : ∀ᶠ r in 𝓝 (0 : 𝕜), {x} + r • s ⊆ u := by
obtain ⟨ε, εpos, hε⟩ : ∃ ε : ℝ, 0 < ε ∧ closedBall x ε ⊆ u := nhds_basis_closedBall.mem_iff.1 hu obtain ⟨R, Rpos, hR⟩ : ∃ R : ℝ, 0 < R ∧ s ⊆ closedBall 0 R := hs.subset_closedBall_lt 0 0 have : Metric.closedBall (0 : 𝕜) (ε / R) ∈ 𝓝 (0 : 𝕜) := closedBall_mem_nhds _ (div_pos εpos Rpos) filter_upwards [this] with r hr simp only [image_add_left, singleton_add] intro y hy obtain ⟨z, zs, hz⟩ : ∃ z : E, z ∈ s ∧ r • z = -x + y := by simpa [mem_smul_set] using hy have I : ‖r • z‖ ≤ ε := calc ‖r • z‖ = ‖r‖ * ‖z‖ := norm_smul _ _ _ ≤ ε / R * R := (mul_le_mul (mem_closedBall_zero_iff.1 hr) (mem_closedBall_zero_iff.1 (hR zs)) (norm_nonneg _) (div_pos εpos Rpos).le) _ = ε := by field_simp have : y = x + r • z := by simp only [hz, add_neg_cancel_left] apply hε simpa only [this, dist_eq_norm, add_sub_cancel_left, mem_closedBall] using I
17
import Mathlib.Algebra.Algebra.Quasispectrum import Mathlib.Topology.ContinuousFunction.Compact import Mathlib.Topology.ContinuousFunction.ContinuousMapZero import Mathlib.Topology.ContinuousFunction.FunctionalCalculus import Mathlib.Topology.UniformSpace.CompactConvergence local notation "σₙ" => quasispectrum open scoped ContinuousMapZero class NonUnitalContinuousFunctionalCalculus (R : Type*) {A : Type*} (p : outParam (A → Prop)) [CommSemiring R] [Nontrivial R] [StarRing R] [MetricSpace R] [TopologicalSemiring R] [ContinuousStar R] [NonUnitalRing A] [StarRing A] [TopologicalSpace A] [Module R A] [IsScalarTower R A A] [SMulCommClass R A A] : Prop where exists_cfc_of_predicate : ∀ a, p a → ∃ φ : C(σₙ R a, R)₀ →⋆ₙₐ[R] A, ClosedEmbedding φ ∧ φ ⟨(ContinuousMap.id R).restrict <| σₙ R a, rfl⟩ = a ∧ (∀ f, σₙ R (φ f) = Set.range f) ∧ ∀ f, p (φ f) -- TODO: try to unify with the unital version. The `ℝ≥0` case makes it tricky. class UniqueNonUnitalContinuousFunctionalCalculus (R A : Type*) [CommSemiring R] [StarRing R] [MetricSpace R] [TopologicalSemiring R] [ContinuousStar R] [NonUnitalRing A] [StarRing A] [TopologicalSpace A] [Module R A] [IsScalarTower R A A] [SMulCommClass R A A] : Prop where eq_of_continuous_of_map_id (s : Set R) [CompactSpace s] [Zero s] (h0 : (0 : s) = (0 : R)) (φ ψ : C(s, R)₀ →⋆ₙₐ[R] A) (hφ : Continuous φ) (hψ : Continuous ψ) (h : φ (⟨.restrict s <| .id R, h0⟩) = ψ (⟨.restrict s <| .id R, h0⟩)) : φ = ψ compactSpace_quasispectrum (a : A) : CompactSpace (σₙ R a) section Main variable {R A : Type*} {p : A → Prop} [CommSemiring R] [Nontrivial R] [StarRing R] [MetricSpace R] variable [TopologicalSemiring R] [ContinuousStar R] [NonUnitalRing A] [StarRing A] variable [TopologicalSpace A] [Module R A] [IsScalarTower R A A] [SMulCommClass R A A] variable [NonUnitalContinuousFunctionalCalculus R p] lemma NonUnitalStarAlgHom.ext_continuousMap [UniqueNonUnitalContinuousFunctionalCalculus R A] (a : A) (φ ψ : C(σₙ R a, R)₀ →⋆ₙₐ[R] A) (hφ : Continuous φ) (hψ : Continuous ψ) (h : φ ⟨.restrict (σₙ R a) <| .id R, rfl⟩ = ψ ⟨.restrict (σₙ R a) <| .id R, rfl⟩) : φ = ψ := have := UniqueNonUnitalContinuousFunctionalCalculus.compactSpace_quasispectrum (R := R) a UniqueNonUnitalContinuousFunctionalCalculus.eq_of_continuous_of_map_id _ (by simp) φ ψ hφ hψ h section cfcₙHom variable {a : A} (ha : p a) noncomputable def cfcₙHom : C(σₙ R a, R)₀ →⋆ₙₐ[R] A := (NonUnitalContinuousFunctionalCalculus.exists_cfc_of_predicate a ha).choose lemma cfcₙHom_closedEmbedding : ClosedEmbedding <| (cfcₙHom ha : C(σₙ R a, R)₀ →⋆ₙₐ[R] A) := (NonUnitalContinuousFunctionalCalculus.exists_cfc_of_predicate a ha).choose_spec.1 lemma cfcₙHom_id : cfcₙHom ha ⟨(ContinuousMap.id R).restrict <| σₙ R a, rfl⟩ = a := (NonUnitalContinuousFunctionalCalculus.exists_cfc_of_predicate a ha).choose_spec.2.1 lemma cfcₙHom_map_quasispectrum (f : C(σₙ R a, R)₀) : σₙ R (cfcₙHom ha f) = Set.range f := (NonUnitalContinuousFunctionalCalculus.exists_cfc_of_predicate a ha).choose_spec.2.2.1 f lemma cfcₙHom_predicate (f : C(σₙ R a, R)₀) : p (cfcₙHom ha f) := (NonUnitalContinuousFunctionalCalculus.exists_cfc_of_predicate a ha).choose_spec.2.2.2 f lemma cfcₙHom_eq_of_continuous_of_map_id [UniqueNonUnitalContinuousFunctionalCalculus R A] (φ : C(σₙ R a, R)₀ →⋆ₙₐ[R] A) (hφ₁ : Continuous φ) (hφ₂ : φ ⟨.restrict (σₙ R a) <| .id R, rfl⟩ = a) : cfcₙHom ha = φ := (cfcₙHom ha).ext_continuousMap a φ (cfcₙHom_closedEmbedding ha).continuous hφ₁ <| by rw [cfcₙHom_id ha, hφ₂]
Mathlib/Topology/ContinuousFunction/NonUnitalFunctionalCalculus.lean
147
167
theorem cfcₙHom_comp [UniqueNonUnitalContinuousFunctionalCalculus R A] (f : C(σₙ R a, R)₀) (f' : C(σₙ R a, σₙ R (cfcₙHom ha f))₀) (hff' : ∀ x, f x = f' x) (g : C(σₙ R (cfcₙHom ha f), R)₀) : cfcₙHom ha (g.comp f') = cfcₙHom (cfcₙHom_predicate ha f) g := by
let ψ : C(σₙ R (cfcₙHom ha f), R)₀ →⋆ₙₐ[R] C(σₙ R a, R)₀ := { toFun := (ContinuousMapZero.comp · f') map_smul' := fun _ _ ↦ rfl map_add' := fun _ _ ↦ rfl map_mul' := fun _ _ ↦ rfl map_zero' := rfl map_star' := fun _ ↦ rfl } let φ : C(σₙ R (cfcₙHom ha f), R)₀ →⋆ₙₐ[R] A := (cfcₙHom ha).comp ψ suffices cfcₙHom (cfcₙHom_predicate ha f) = φ from DFunLike.congr_fun this.symm g refine cfcₙHom_eq_of_continuous_of_map_id (cfcₙHom_predicate ha f) φ ?_ ?_ · refine (cfcₙHom_closedEmbedding ha).continuous.comp <| continuous_induced_rng.mpr ?_ exact f'.toContinuousMap.continuous_comp_left.comp continuous_induced_dom · simp only [φ, ψ, NonUnitalStarAlgHom.comp_apply, NonUnitalStarAlgHom.coe_mk', NonUnitalAlgHom.coe_mk] congr ext x simp [hff']
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import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent import Mathlib.Analysis.Calculus.FDeriv.Linear import Mathlib.Analysis.Calculus.FDeriv.Comp #align_import analysis.calculus.fderiv.equiv from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee" open Filter Asymptotics ContinuousLinearMap Set Metric open scoped Classical open Topology NNReal Filter Asymptotics ENNReal noncomputable section 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 {f f₀ f₁ g : E → F} variable {f' f₀' f₁' g' : E →L[𝕜] F} variable (e : E →L[𝕜] F) variable {x : E} variable {s t : Set E} variable {L L₁ L₂ : Filter E}
Mathlib/Analysis/Calculus/FDeriv/Equiv.lean
391
410
theorem HasStrictFDerivAt.of_local_left_inverse {f : E → F} {f' : E ≃L[𝕜] F} {g : F → E} {a : F} (hg : ContinuousAt g a) (hf : HasStrictFDerivAt f (f' : E →L[𝕜] F) (g a)) (hfg : ∀ᶠ y in 𝓝 a, f (g y) = y) : HasStrictFDerivAt g (f'.symm : F →L[𝕜] E) a := by
replace hg := hg.prod_map' hg replace hfg := hfg.prod_mk_nhds hfg have : (fun p : F × F => g p.1 - g p.2 - f'.symm (p.1 - p.2)) =O[𝓝 (a, a)] fun p : F × F => f' (g p.1 - g p.2) - (p.1 - p.2) := by refine ((f'.symm : F →L[𝕜] E).isBigO_comp _ _).congr (fun x => ?_) fun _ => rfl simp refine this.trans_isLittleO ?_ clear this refine ((hf.comp_tendsto hg).symm.congr' (hfg.mono ?_) (eventually_of_forall fun _ => rfl)).trans_isBigO ?_ · rintro p ⟨hp1, hp2⟩ simp [hp1, hp2] · refine (hf.isBigO_sub_rev.comp_tendsto hg).congr' (eventually_of_forall fun _ => rfl) (hfg.mono ?_) rintro p ⟨hp1, hp2⟩ simp only [(· ∘ ·), hp1, hp2]
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import Mathlib.Topology.Separation open Topology Filter Set TopologicalSpace section Basic variable {α : Type*} [TopologicalSpace α] {C : Set α} theorem AccPt.nhds_inter {x : α} {U : Set α} (h_acc : AccPt x (𝓟 C)) (hU : U ∈ 𝓝 x) : AccPt x (𝓟 (U ∩ C)) := by have : 𝓝[≠] x ≤ 𝓟 U := by rw [le_principal_iff] exact mem_nhdsWithin_of_mem_nhds hU rw [AccPt, ← inf_principal, ← inf_assoc, inf_of_le_left this] exact h_acc #align acc_pt.nhds_inter AccPt.nhds_inter def Preperfect (C : Set α) : Prop := ∀ x ∈ C, AccPt x (𝓟 C) #align preperfect Preperfect @[mk_iff perfect_def] structure Perfect (C : Set α) : Prop where closed : IsClosed C acc : Preperfect C #align perfect Perfect theorem preperfect_iff_nhds : Preperfect C ↔ ∀ x ∈ C, ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by simp only [Preperfect, accPt_iff_nhds] #align preperfect_iff_nhds preperfect_iff_nhds section Preperfect theorem Preperfect.open_inter {U : Set α} (hC : Preperfect C) (hU : IsOpen U) : Preperfect (U ∩ C) := by rintro x ⟨xU, xC⟩ apply (hC _ xC).nhds_inter exact hU.mem_nhds xU #align preperfect.open_inter Preperfect.open_inter theorem Preperfect.perfect_closure (hC : Preperfect C) : Perfect (closure C) := by constructor; · exact isClosed_closure intro x hx by_cases h : x ∈ C <;> apply AccPt.mono _ (principal_mono.mpr subset_closure) · exact hC _ h have : {x}ᶜ ∩ C = C := by simp [h] rw [AccPt, nhdsWithin, inf_assoc, inf_principal, this] rw [closure_eq_cluster_pts] at hx exact hx #align preperfect.perfect_closure Preperfect.perfect_closure theorem preperfect_iff_perfect_closure [T1Space α] : Preperfect C ↔ Perfect (closure C) := by constructor <;> intro h · exact h.perfect_closure intro x xC have H : AccPt x (𝓟 (closure C)) := h.acc _ (subset_closure xC) rw [accPt_iff_frequently] at * have : ∀ y, y ≠ x ∧ y ∈ closure C → ∃ᶠ z in 𝓝 y, z ≠ x ∧ z ∈ C := by rintro y ⟨hyx, yC⟩ simp only [← mem_compl_singleton_iff, and_comm, ← frequently_nhdsWithin_iff, hyx.nhdsWithin_compl_singleton, ← mem_closure_iff_frequently] exact yC rw [← frequently_frequently_nhds] exact H.mono this #align preperfect_iff_perfect_closure preperfect_iff_perfect_closure theorem Perfect.closure_nhds_inter {U : Set α} (hC : Perfect C) (x : α) (xC : x ∈ C) (xU : x ∈ U) (Uop : IsOpen U) : Perfect (closure (U ∩ C)) ∧ (closure (U ∩ C)).Nonempty := by constructor · apply Preperfect.perfect_closure exact hC.acc.open_inter Uop apply Nonempty.closure exact ⟨x, ⟨xU, xC⟩⟩ #align perfect.closure_nhds_inter Perfect.closure_nhds_inter
Mathlib/Topology/Perfect.lean
158
177
theorem Perfect.splitting [T25Space α] (hC : Perfect C) (hnonempty : C.Nonempty) : ∃ C₀ C₁ : Set α, (Perfect C₀ ∧ C₀.Nonempty ∧ C₀ ⊆ C) ∧ (Perfect C₁ ∧ C₁.Nonempty ∧ C₁ ⊆ C) ∧ Disjoint C₀ C₁ := by
cases' hnonempty with y yC obtain ⟨x, xC, hxy⟩ : ∃ x ∈ C, x ≠ y := by have := hC.acc _ yC rw [accPt_iff_nhds] at this rcases this univ univ_mem with ⟨x, xC, hxy⟩ exact ⟨x, xC.2, hxy⟩ obtain ⟨U, xU, Uop, V, yV, Vop, hUV⟩ := exists_open_nhds_disjoint_closure hxy use closure (U ∩ C), closure (V ∩ C) constructor <;> rw [← and_assoc] · refine ⟨hC.closure_nhds_inter x xC xU Uop, ?_⟩ rw [hC.closed.closure_subset_iff] exact inter_subset_right constructor · refine ⟨hC.closure_nhds_inter y yC yV Vop, ?_⟩ rw [hC.closed.closure_subset_iff] exact inter_subset_right apply Disjoint.mono _ _ hUV <;> apply closure_mono <;> exact inter_subset_left
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import Mathlib.Algebra.CharP.ExpChar import Mathlib.Algebra.GeomSum import Mathlib.Algebra.MvPolynomial.CommRing import Mathlib.Algebra.MvPolynomial.Equiv import Mathlib.RingTheory.Polynomial.Content import Mathlib.RingTheory.UniqueFactorizationDomain #align_import ring_theory.polynomial.basic from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff" noncomputable section open Polynomial open Finset universe u v w variable {R : Type u} {S : Type*} namespace Polynomial section Semiring variable [Semiring R] instance instCharP (p : ℕ) [h : CharP R p] : CharP R[X] p := let ⟨h⟩ := h ⟨fun n => by rw [← map_natCast C, ← C_0, C_inj, h]⟩ instance instExpChar (p : ℕ) [h : ExpChar R p] : ExpChar R[X] p := by cases h; exacts [ExpChar.zero, ExpChar.prime ‹_›] variable (R) def degreeLE (n : WithBot ℕ) : Submodule R R[X] := ⨅ k : ℕ, ⨅ _ : ↑k > n, LinearMap.ker (lcoeff R k) #align polynomial.degree_le Polynomial.degreeLE def degreeLT (n : ℕ) : Submodule R R[X] := ⨅ k : ℕ, ⨅ (_ : k ≥ n), LinearMap.ker (lcoeff R k) #align polynomial.degree_lt Polynomial.degreeLT variable {R} theorem mem_degreeLE {n : WithBot ℕ} {f : R[X]} : f ∈ degreeLE R n ↔ degree f ≤ n := by simp only [degreeLE, Submodule.mem_iInf, degree_le_iff_coeff_zero, LinearMap.mem_ker]; rfl #align polynomial.mem_degree_le Polynomial.mem_degreeLE @[mono] theorem degreeLE_mono {m n : WithBot ℕ} (H : m ≤ n) : degreeLE R m ≤ degreeLE R n := fun _ hf => mem_degreeLE.2 (le_trans (mem_degreeLE.1 hf) H) #align polynomial.degree_le_mono Polynomial.degreeLE_mono
Mathlib/RingTheory/Polynomial/Basic.lean
76
94
theorem degreeLE_eq_span_X_pow [DecidableEq R] {n : ℕ} : degreeLE R n = Submodule.span R ↑((Finset.range (n + 1)).image fun n => (X : R[X]) ^ n) := by
apply le_antisymm · intro p hp replace hp := mem_degreeLE.1 hp rw [← Polynomial.sum_monomial_eq p, Polynomial.sum] refine Submodule.sum_mem _ fun k hk => ?_ have := WithBot.coe_le_coe.1 (Finset.sup_le_iff.1 hp k hk) rw [← C_mul_X_pow_eq_monomial, C_mul'] refine Submodule.smul_mem _ _ (Submodule.subset_span <| Finset.mem_coe.2 <| Finset.mem_image.2 ⟨_, Finset.mem_range.2 (Nat.lt_succ_of_le this), rfl⟩) rw [Submodule.span_le, Finset.coe_image, Set.image_subset_iff] intro k hk apply mem_degreeLE.2 exact (degree_X_pow_le _).trans (WithBot.coe_le_coe.2 <| Nat.le_of_lt_succ <| Finset.mem_range.1 hk)
17
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.LinearAlgebra.PiTensorProduct universe uι u𝕜 uE uF variable {ι : Type uι} [Fintype ι] variable {𝕜 : Type u𝕜} [NontriviallyNormedField 𝕜] variable {E : ι → Type uE} [∀ i, SeminormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] variable {F : Type uF} [SeminormedAddCommGroup F] [NormedSpace 𝕜 F] open scoped TensorProduct namespace PiTensorProduct def projectiveSeminormAux : FreeAddMonoid (𝕜 × Π i, E i) → ℝ := List.sum ∘ (List.map (fun p ↦ ‖p.1‖ * ∏ i, ‖p.2 i‖)) theorem projectiveSeminormAux_nonneg (p : FreeAddMonoid (𝕜 × Π i, E i)) : 0 ≤ projectiveSeminormAux p := by simp only [projectiveSeminormAux, Function.comp_apply] refine List.sum_nonneg ?_ intro a simp only [Multiset.map_coe, Multiset.mem_coe, List.mem_map, Prod.exists, forall_exists_index, and_imp] intro x m _ h rw [← h] exact mul_nonneg (norm_nonneg _) (Finset.prod_nonneg (fun _ _ ↦ norm_nonneg _)) theorem projectiveSeminormAux_add_le (p q : FreeAddMonoid (𝕜 × Π i, E i)) : projectiveSeminormAux (p + q) ≤ projectiveSeminormAux p + projectiveSeminormAux q := by simp only [projectiveSeminormAux, Function.comp_apply, Multiset.map_coe, Multiset.sum_coe] erw [List.map_append] rw [List.sum_append] rfl theorem projectiveSeminormAux_smul (p : FreeAddMonoid (𝕜 × Π i, E i)) (a : 𝕜) : projectiveSeminormAux (List.map (fun (y : 𝕜 × Π i, E i) ↦ (a * y.1, y.2)) p) = ‖a‖ * projectiveSeminormAux p := by simp only [projectiveSeminormAux, Function.comp_apply, Multiset.map_coe, List.map_map, Multiset.sum_coe] rw [← smul_eq_mul, List.smul_sum, ← List.comp_map] congr 2 ext x simp only [Function.comp_apply, norm_mul, smul_eq_mul] rw [mul_assoc] theorem bddBelow_projectiveSemiNormAux (x : ⨂[𝕜] i, E i) : BddBelow (Set.range (fun (p : lifts x) ↦ projectiveSeminormAux p.1)) := by existsi 0 rw [mem_lowerBounds] simp only [Set.mem_range, Subtype.exists, exists_prop, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂] exact fun p _ ↦ projectiveSeminormAux_nonneg p noncomputable def projectiveSeminorm : Seminorm 𝕜 (⨂[𝕜] i, E i) := by refine Seminorm.ofSMulLE (fun x ↦ iInf (fun (p : lifts x) ↦ projectiveSeminormAux p.1)) ?_ ?_ ?_ · refine le_antisymm ?_ ?_ · refine ciInf_le_of_le (bddBelow_projectiveSemiNormAux (0 : ⨂[𝕜] i, E i)) ⟨0, lifts_zero⟩ ?_ simp only [projectiveSeminormAux, Function.comp_apply] rw [List.sum_eq_zero] intro _ simp only [List.mem_map, Prod.exists, forall_exists_index, and_imp] intro _ _ hxm rw [← FreeAddMonoid.ofList_nil] at hxm exfalso exact List.not_mem_nil _ hxm · letI : Nonempty (lifts 0) := ⟨0, lifts_zero (R := 𝕜) (s := E)⟩ exact le_ciInf (fun p ↦ projectiveSeminormAux_nonneg p.1) · intro x y letI := nonempty_subtype.mpr (nonempty_lifts x); letI := nonempty_subtype.mpr (nonempty_lifts y) exact le_ciInf_add_ciInf (fun p q ↦ ciInf_le_of_le (bddBelow_projectiveSemiNormAux _) ⟨p.1 + q.1, lifts_add p.2 q.2⟩ (projectiveSeminormAux_add_le p.1 q.1)) · intro a x letI := nonempty_subtype.mpr (nonempty_lifts x) rw [Real.mul_iInf_of_nonneg (norm_nonneg _)] refine le_ciInf ?_ intro p rw [← projectiveSeminormAux_smul] exact ciInf_le_of_le (bddBelow_projectiveSemiNormAux _) ⟨(List.map (fun y ↦ (a * y.1, y.2)) p.1), lifts_smul p.2 a⟩ (le_refl _) theorem projectiveSeminorm_apply (x : ⨂[𝕜] i, E i) : projectiveSeminorm x = iInf (fun (p : lifts x) ↦ projectiveSeminormAux p.1) := rfl theorem projectiveSeminorm_tprod_le (m : Π i, E i) : projectiveSeminorm (⨂ₜ[𝕜] i, m i) ≤ ∏ i, ‖m i‖ := by rw [projectiveSeminorm_apply] convert ciInf_le (bddBelow_projectiveSemiNormAux _) ⟨[((1 : 𝕜), m)] ,?_⟩ · simp only [projectiveSeminormAux, Function.comp_apply, List.map_cons, norm_one, one_mul, List.map_nil, List.sum_cons, List.sum_nil, add_zero] · rw [mem_lifts_iff, List.map_singleton, List.sum_singleton, one_smul]
Mathlib/Analysis/NormedSpace/PiTensorProduct/ProjectiveSeminorm.lean
134
153
theorem norm_eval_le_projectiveSeminorm (x : ⨂[𝕜] i, E i) (G : Type*) [SeminormedAddCommGroup G] [NormedSpace 𝕜 G] (f : ContinuousMultilinearMap 𝕜 E G) : ‖lift f.toMultilinearMap x‖ ≤ projectiveSeminorm x * ‖f‖ := by
letI := nonempty_subtype.mpr (nonempty_lifts x) rw [projectiveSeminorm_apply, Real.iInf_mul_of_nonneg (norm_nonneg _), projectiveSeminormAux] refine le_ciInf ?_ intro ⟨p, hp⟩ rw [mem_lifts_iff] at hp conv_lhs => rw [← hp, ← List.sum_map_hom, ← Multiset.sum_coe] refine le_trans (norm_multiset_sum_le _) ?_ simp only [tprodCoeff_eq_smul_tprod, Multiset.map_coe, List.map_map, Multiset.sum_coe, Function.comp_apply] rw [mul_comm, ← smul_eq_mul, List.smul_sum] refine List.Forall₂.sum_le_sum ?_ simp only [smul_eq_mul, List.map_map, List.forall₂_map_right_iff, Function.comp_apply, List.forall₂_map_left_iff, map_smul, lift.tprod, ContinuousMultilinearMap.coe_coe, List.forall₂_same, Prod.forall] intro a m _ rw [norm_smul, ← mul_assoc, mul_comm ‖f‖ _, mul_assoc] exact mul_le_mul_of_nonneg_left (f.le_opNorm _) (norm_nonneg _)
17
import Mathlib.CategoryTheory.Limits.Shapes.WideEqualizers import Mathlib.CategoryTheory.Limits.Shapes.Products import Mathlib.CategoryTheory.Limits.Shapes.Terminal #align_import category_theory.limits.constructions.weakly_initial from "leanprover-community/mathlib"@"239d882c4fb58361ee8b3b39fb2091320edef10a" universe v u namespace CategoryTheory open Limits variable {C : Type u} [Category.{v} C] theorem has_weakly_initial_of_weakly_initial_set_and_hasProducts [HasProducts.{v} C] {ι : Type v} {B : ι → C} (hB : ∀ A : C, ∃ i, Nonempty (B i ⟶ A)) : ∃ T : C, ∀ X, Nonempty (T ⟶ X) := ⟨∏ᶜ B, fun X => ⟨Pi.π _ _ ≫ (hB X).choose_spec.some⟩⟩ #align category_theory.has_weakly_initial_of_weakly_initial_set_and_has_products CategoryTheory.has_weakly_initial_of_weakly_initial_set_and_hasProducts
Mathlib/CategoryTheory/Limits/Constructions/WeaklyInitial.lean
46
64
theorem hasInitial_of_weakly_initial_and_hasWideEqualizers [HasWideEqualizers.{v} C] {T : C} (hT : ∀ X, Nonempty (T ⟶ X)) : HasInitial C := by
let endos := T ⟶ T let i := wideEqualizer.ι (id : endos → endos) haveI : Nonempty endos := ⟨𝟙 _⟩ have : ∀ X : C, Unique (wideEqualizer (id : endos → endos) ⟶ X) := by intro X refine ⟨⟨i ≫ Classical.choice (hT X)⟩, fun a => ?_⟩ let E := equalizer a (i ≫ Classical.choice (hT _)) let e : E ⟶ wideEqualizer id := equalizer.ι _ _ let h : T ⟶ E := Classical.choice (hT E) have : ((i ≫ h) ≫ e) ≫ i = i ≫ 𝟙 _ := by rw [Category.assoc, Category.assoc] apply wideEqualizer.condition (id : endos → endos) (h ≫ e ≫ i) rw [Category.comp_id, cancel_mono_id i] at this haveI : IsSplitEpi e := IsSplitEpi.mk' ⟨i ≫ h, this⟩ rw [← cancel_epi e] apply equalizer.condition exact hasInitial_of_unique (wideEqualizer (id : endos → endos))
17
import Mathlib.Data.Finset.Sort import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Sign import Mathlib.LinearAlgebra.AffineSpace.Combination import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv import Mathlib.LinearAlgebra.Basis.VectorSpace #align_import linear_algebra.affine_space.independent from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" noncomputable section open Finset Function open scoped Affine section AffineIndependent variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V] variable [AffineSpace V P] {ι : Type*} def AffineIndependent (p : ι → P) : Prop := ∀ (s : Finset ι) (w : ι → k), ∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0 #align affine_independent AffineIndependent theorem affineIndependent_def (p : ι → P) : AffineIndependent k p ↔ ∀ (s : Finset ι) (w : ι → k), ∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0 := Iff.rfl #align affine_independent_def affineIndependent_def theorem affineIndependent_of_subsingleton [Subsingleton ι] (p : ι → P) : AffineIndependent k p := fun _ _ h _ i hi => Fintype.eq_of_subsingleton_of_sum_eq h i hi #align affine_independent_of_subsingleton affineIndependent_of_subsingleton theorem affineIndependent_iff_of_fintype [Fintype ι] (p : ι → P) : AffineIndependent k p ↔ ∀ w : ι → k, ∑ i, w i = 0 → Finset.univ.weightedVSub p w = (0 : V) → ∀ i, w i = 0 := by constructor · exact fun h w hw hs i => h Finset.univ w hw hs i (Finset.mem_univ _) · intro h s w hw hs i hi rw [Finset.weightedVSub_indicator_subset _ _ (Finset.subset_univ s)] at hs rw [← Finset.sum_indicator_subset _ (Finset.subset_univ s)] at hw replace h := h ((↑s : Set ι).indicator w) hw hs i simpa [hi] using h #align affine_independent_iff_of_fintype affineIndependent_iff_of_fintype theorem affineIndependent_iff_linearIndependent_vsub (p : ι → P) (i1 : ι) : AffineIndependent k p ↔ LinearIndependent k fun i : { x // x ≠ i1 } => (p i -ᵥ p i1 : V) := by classical constructor · intro h rw [linearIndependent_iff'] intro s g hg i hi set f : ι → k := fun x => if hx : x = i1 then -∑ y ∈ s, g y else g ⟨x, hx⟩ with hfdef let s2 : Finset ι := insert i1 (s.map (Embedding.subtype _)) have hfg : ∀ x : { x // x ≠ i1 }, g x = f x := by intro x rw [hfdef] dsimp only erw [dif_neg x.property, Subtype.coe_eta] rw [hfg] have hf : ∑ ι ∈ s2, f ι = 0 := by rw [Finset.sum_insert (Finset.not_mem_map_subtype_of_not_property s (Classical.not_not.2 rfl)), Finset.sum_subtype_map_embedding fun x _ => (hfg x).symm] rw [hfdef] dsimp only rw [dif_pos rfl] exact neg_add_self _ have hs2 : s2.weightedVSub p f = (0 : V) := by set f2 : ι → V := fun x => f x • (p x -ᵥ p i1) with hf2def set g2 : { x // x ≠ i1 } → V := fun x => g x • (p x -ᵥ p i1) have hf2g2 : ∀ x : { x // x ≠ i1 }, f2 x = g2 x := by simp only [g2, hf2def] refine fun x => ?_ rw [hfg] rw [Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero s2 f p hf (p i1), Finset.weightedVSubOfPoint_insert, Finset.weightedVSubOfPoint_apply, Finset.sum_subtype_map_embedding fun x _ => hf2g2 x] exact hg exact h s2 f hf hs2 i (Finset.mem_insert_of_mem (Finset.mem_map.2 ⟨i, hi, rfl⟩)) · intro h rw [linearIndependent_iff'] at h intro s w hw hs i hi rw [Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero s w p hw (p i1), ← s.weightedVSubOfPoint_erase w p i1, Finset.weightedVSubOfPoint_apply] at hs let f : ι → V := fun i => w i • (p i -ᵥ p i1) have hs2 : (∑ i ∈ (s.erase i1).subtype fun i => i ≠ i1, f i) = 0 := by rw [← hs] convert Finset.sum_subtype_of_mem f fun x => Finset.ne_of_mem_erase have h2 := h ((s.erase i1).subtype fun i => i ≠ i1) (fun x => w x) hs2 simp_rw [Finset.mem_subtype] at h2 have h2b : ∀ i ∈ s, i ≠ i1 → w i = 0 := fun i his hi => h2 ⟨i, hi⟩ (Finset.mem_erase_of_ne_of_mem hi his) exact Finset.eq_zero_of_sum_eq_zero hw h2b i hi #align affine_independent_iff_linear_independent_vsub affineIndependent_iff_linearIndependent_vsub
Mathlib/LinearAlgebra/AffineSpace/Independent.lean
139
158
theorem affineIndependent_set_iff_linearIndependent_vsub {s : Set P} {p₁ : P} (hp₁ : p₁ ∈ s) : AffineIndependent k (fun p => p : s → P) ↔ LinearIndependent k (fun v => v : (fun p => (p -ᵥ p₁ : V)) '' (s \ {p₁}) → V) := by
rw [affineIndependent_iff_linearIndependent_vsub k (fun p => p : s → P) ⟨p₁, hp₁⟩] constructor · intro h have hv : ∀ v : (fun p => (p -ᵥ p₁ : V)) '' (s \ {p₁}), (v : V) +ᵥ p₁ ∈ s \ {p₁} := fun v => (vsub_left_injective p₁).mem_set_image.1 ((vadd_vsub (v : V) p₁).symm ▸ v.property) let f : (fun p : P => (p -ᵥ p₁ : V)) '' (s \ {p₁}) → { x : s // x ≠ ⟨p₁, hp₁⟩ } := fun x => ⟨⟨(x : V) +ᵥ p₁, Set.mem_of_mem_diff (hv x)⟩, fun hx => Set.not_mem_of_mem_diff (hv x) (Subtype.ext_iff.1 hx)⟩ convert h.comp f fun x1 x2 hx => Subtype.ext (vadd_right_cancel p₁ (Subtype.ext_iff.1 (Subtype.ext_iff.1 hx))) ext v exact (vadd_vsub (v : V) p₁).symm · intro h let f : { x : s // x ≠ ⟨p₁, hp₁⟩ } → (fun p : P => (p -ᵥ p₁ : V)) '' (s \ {p₁}) := fun x => ⟨((x : s) : P) -ᵥ p₁, ⟨x, ⟨⟨(x : s).property, fun hx => x.property (Subtype.ext hx)⟩, rfl⟩⟩⟩ convert h.comp f fun x1 x2 hx => Subtype.ext (Subtype.ext (vsub_left_cancel (Subtype.ext_iff.1 hx)))
17
import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots import Mathlib.Data.ZMod.Algebra #align_import ring_theory.polynomial.cyclotomic.expand from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472" namespace Polynomial @[simp] theorem cyclotomic_expand_eq_cyclotomic_mul {p n : ℕ} (hp : Nat.Prime p) (hdiv : ¬p ∣ n) (R : Type*) [CommRing R] : expand R p (cyclotomic n R) = cyclotomic (n * p) R * cyclotomic n R := by rcases Nat.eq_zero_or_pos n with (rfl | hnpos) · simp haveI := NeZero.of_pos hnpos suffices expand ℤ p (cyclotomic n ℤ) = cyclotomic (n * p) ℤ * cyclotomic n ℤ by rw [← map_cyclotomic_int, ← map_expand, this, Polynomial.map_mul, map_cyclotomic_int, map_cyclotomic] refine eq_of_monic_of_dvd_of_natDegree_le ((cyclotomic.monic _ ℤ).mul (cyclotomic.monic _ ℤ)) ((cyclotomic.monic n ℤ).expand hp.pos) ?_ ?_ · refine (IsPrimitive.Int.dvd_iff_map_cast_dvd_map_cast _ _ (IsPrimitive.mul (cyclotomic.isPrimitive (n * p) ℤ) (cyclotomic.isPrimitive n ℤ)) ((cyclotomic.monic n ℤ).expand hp.pos).isPrimitive).2 ?_ rw [Polynomial.map_mul, map_cyclotomic_int, map_cyclotomic_int, map_expand, map_cyclotomic_int] refine IsCoprime.mul_dvd (cyclotomic.isCoprime_rat fun h => ?_) ?_ ?_ · replace h : n * p = n * 1 := by simp [h] exact Nat.Prime.ne_one hp (mul_left_cancel₀ hnpos.ne' h) · have hpos : 0 < n * p := mul_pos hnpos hp.pos have hprim := Complex.isPrimitiveRoot_exp _ hpos.ne' rw [cyclotomic_eq_minpoly_rat hprim hpos] refine minpoly.dvd ℚ _ ?_ rw [aeval_def, ← eval_map, map_expand, map_cyclotomic, expand_eval, ← IsRoot.def, @isRoot_cyclotomic_iff] convert IsPrimitiveRoot.pow_of_dvd hprim hp.ne_zero (dvd_mul_left p n) rw [Nat.mul_div_cancel _ (Nat.Prime.pos hp)] · have hprim := Complex.isPrimitiveRoot_exp _ hnpos.ne.symm rw [cyclotomic_eq_minpoly_rat hprim hnpos] refine minpoly.dvd ℚ _ ?_ rw [aeval_def, ← eval_map, map_expand, expand_eval, ← IsRoot.def, ← cyclotomic_eq_minpoly_rat hprim hnpos, map_cyclotomic, @isRoot_cyclotomic_iff] exact IsPrimitiveRoot.pow_of_prime hprim hp hdiv · rw [natDegree_expand, natDegree_cyclotomic, natDegree_mul (cyclotomic_ne_zero _ ℤ) (cyclotomic_ne_zero _ ℤ), natDegree_cyclotomic, natDegree_cyclotomic, mul_comm n, Nat.totient_mul ((Nat.Prime.coprime_iff_not_dvd hp).2 hdiv), Nat.totient_prime hp, mul_comm (p - 1), ← Nat.mul_succ, Nat.sub_one, Nat.succ_pred_eq_of_pos hp.pos] #align polynomial.cyclotomic_expand_eq_cyclotomic_mul Polynomial.cyclotomic_expand_eq_cyclotomic_mul @[simp]
Mathlib/RingTheory/Polynomial/Cyclotomic/Expand.lean
78
96
theorem cyclotomic_expand_eq_cyclotomic {p n : ℕ} (hp : Nat.Prime p) (hdiv : p ∣ n) (R : Type*) [CommRing R] : expand R p (cyclotomic n R) = cyclotomic (n * p) R := by
rcases n.eq_zero_or_pos with (rfl | hzero) · simp haveI := NeZero.of_pos hzero suffices expand ℤ p (cyclotomic n ℤ) = cyclotomic (n * p) ℤ by rw [← map_cyclotomic_int, ← map_expand, this, map_cyclotomic_int] refine eq_of_monic_of_dvd_of_natDegree_le (cyclotomic.monic _ ℤ) ((cyclotomic.monic n ℤ).expand hp.pos) ?_ ?_ · have hpos := Nat.mul_pos hzero hp.pos have hprim := Complex.isPrimitiveRoot_exp _ hpos.ne.symm rw [cyclotomic_eq_minpoly hprim hpos] refine minpoly.isIntegrallyClosed_dvd (hprim.isIntegral hpos) ?_ rw [aeval_def, ← eval_map, map_expand, map_cyclotomic, expand_eval, ← IsRoot.def, @isRoot_cyclotomic_iff] convert IsPrimitiveRoot.pow_of_dvd hprim hp.ne_zero (dvd_mul_left p n) rw [Nat.mul_div_cancel _ hp.pos] · rw [natDegree_expand, natDegree_cyclotomic, natDegree_cyclotomic, mul_comm n, Nat.totient_mul_of_prime_of_dvd hp hdiv, mul_comm]
17
import Mathlib.Analysis.Analytic.Basic import Mathlib.Combinatorics.Enumerative.Composition #align_import analysis.analytic.composition from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section variable {𝕜 : Type*} {E F G H : Type*} open Filter List open scoped Topology Classical NNReal ENNReal section Topological variable [CommRing 𝕜] [AddCommGroup E] [AddCommGroup F] [AddCommGroup G] variable [Module 𝕜 E] [Module 𝕜 F] [Module 𝕜 G] variable [TopologicalSpace E] [TopologicalSpace F] [TopologicalSpace G] namespace FormalMultilinearSeries variable [TopologicalAddGroup E] [ContinuousConstSMul 𝕜 E] variable [TopologicalAddGroup F] [ContinuousConstSMul 𝕜 F] variable [TopologicalAddGroup G] [ContinuousConstSMul 𝕜 G] def applyComposition (p : FormalMultilinearSeries 𝕜 E F) {n : ℕ} (c : Composition n) : (Fin n → E) → Fin c.length → F := fun v i => p (c.blocksFun i) (v ∘ c.embedding i) #align formal_multilinear_series.apply_composition FormalMultilinearSeries.applyComposition theorem applyComposition_ones (p : FormalMultilinearSeries 𝕜 E F) (n : ℕ) : p.applyComposition (Composition.ones n) = fun v i => p 1 fun _ => v (Fin.castLE (Composition.length_le _) i) := by funext v i apply p.congr (Composition.ones_blocksFun _ _) intro j hjn hj1 obtain rfl : j = 0 := by omega refine congr_arg v ?_ rw [Fin.ext_iff, Fin.coe_castLE, Composition.ones_embedding, Fin.val_mk] #align formal_multilinear_series.apply_composition_ones FormalMultilinearSeries.applyComposition_ones theorem applyComposition_single (p : FormalMultilinearSeries 𝕜 E F) {n : ℕ} (hn : 0 < n) (v : Fin n → E) : p.applyComposition (Composition.single n hn) v = fun _j => p n v := by ext j refine p.congr (by simp) fun i hi1 hi2 => ?_ dsimp congr 1 convert Composition.single_embedding hn ⟨i, hi2⟩ using 1 cases' j with j_val j_property have : j_val = 0 := le_bot_iff.1 (Nat.lt_succ_iff.1 j_property) congr! simp #align formal_multilinear_series.apply_composition_single FormalMultilinearSeries.applyComposition_single @[simp] theorem removeZero_applyComposition (p : FormalMultilinearSeries 𝕜 E F) {n : ℕ} (c : Composition n) : p.removeZero.applyComposition c = p.applyComposition c := by ext v i simp [applyComposition, zero_lt_one.trans_le (c.one_le_blocksFun i), removeZero_of_pos] #align formal_multilinear_series.remove_zero_apply_composition FormalMultilinearSeries.removeZero_applyComposition
Mathlib/Analysis/Analytic/Composition.lean
140
162
theorem applyComposition_update (p : FormalMultilinearSeries 𝕜 E F) {n : ℕ} (c : Composition n) (j : Fin n) (v : Fin n → E) (z : E) : p.applyComposition c (Function.update v j z) = Function.update (p.applyComposition c v) (c.index j) (p (c.blocksFun (c.index j)) (Function.update (v ∘ c.embedding (c.index j)) (c.invEmbedding j) z)) := by
ext k by_cases h : k = c.index j · rw [h] let r : Fin (c.blocksFun (c.index j)) → Fin n := c.embedding (c.index j) simp only [Function.update_same] change p (c.blocksFun (c.index j)) (Function.update v j z ∘ r) = _ let j' := c.invEmbedding j suffices B : Function.update v j z ∘ r = Function.update (v ∘ r) j' z by rw [B] suffices C : Function.update v (r j') z ∘ r = Function.update (v ∘ r) j' z by convert C; exact (c.embedding_comp_inv j).symm exact Function.update_comp_eq_of_injective _ (c.embedding _).injective _ _ · simp only [h, Function.update_eq_self, Function.update_noteq, Ne, not_false_iff] let r : Fin (c.blocksFun k) → Fin n := c.embedding k change p (c.blocksFun k) (Function.update v j z ∘ r) = p (c.blocksFun k) (v ∘ r) suffices B : Function.update v j z ∘ r = v ∘ r by rw [B] apply Function.update_comp_eq_of_not_mem_range rwa [c.mem_range_embedding_iff']
17
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Equalizers import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Products import Mathlib.CategoryTheory.Limits.Yoneda import Mathlib.CategoryTheory.Preadditive.FunctorCategory import Mathlib.CategoryTheory.Sites.SheafOfTypes import Mathlib.CategoryTheory.Sites.EqualizerSheafCondition #align_import category_theory.sites.sheaf from "leanprover-community/mathlib"@"2efd2423f8d25fa57cf7a179f5d8652ab4d0df44" universe w v₁ v₂ v₃ u₁ u₂ u₃ noncomputable section namespace CategoryTheory open Opposite CategoryTheory Category Limits Sieve namespace Presheaf variable {C : Type u₁} [Category.{v₁} C] variable {A : Type u₂} [Category.{v₂} A] variable (J : GrothendieckTopology C) -- We follow https://stacks.math.columbia.edu/tag/00VL definition 00VR def IsSheaf (P : Cᵒᵖ ⥤ A) : Prop := ∀ E : A, Presieve.IsSheaf J (P ⋙ coyoneda.obj (op E)) #align category_theory.presheaf.is_sheaf CategoryTheory.Presheaf.IsSheaf attribute [local instance] ConcreteCategory.hasCoeToSort ConcreteCategory.instFunLike in def IsSeparated (P : Cᵒᵖ ⥤ A) [ConcreteCategory A] : Prop := ∀ (X : C) (S : Sieve X) (_ : S ∈ J X) (x y : P.obj (op X)), (∀ (Y : C) (f : Y ⟶ X) (_ : S f), P.map f.op x = P.map f.op y) → x = y section LimitSheafCondition open Presieve Presieve.FamilyOfElements Limits variable (P : Cᵒᵖ ⥤ A) {X : C} (S : Sieve X) (R : Presieve X) (E : Aᵒᵖ) @[simps] def conesEquivSieveCompatibleFamily : (S.arrows.diagram.op ⋙ P).cones.obj E ≃ { x : FamilyOfElements (P ⋙ coyoneda.obj E) (S : Presieve X) // x.SieveCompatible } where toFun π := ⟨fun Y f h => π.app (op ⟨Over.mk f, h⟩), fun X Y f g hf => by apply (id_comp _).symm.trans dsimp exact π.naturality (Quiver.Hom.op (Over.homMk _ (by rfl)))⟩ invFun x := { app := fun f => x.1 f.unop.1.hom f.unop.2 naturality := fun f f' g => by refine Eq.trans ?_ (x.2 f.unop.1.hom g.unop.left f.unop.2) dsimp rw [id_comp] convert rfl rw [Over.w] } left_inv π := rfl right_inv x := rfl #align category_theory.presheaf.cones_equiv_sieve_compatible_family CategoryTheory.Presheaf.conesEquivSieveCompatibleFamily -- These lemmas have always been bad (#7657), but leanprover/lean4#2644 made `simp` start noticing attribute [nolint simpNF] CategoryTheory.Presheaf.conesEquivSieveCompatibleFamily_apply_coe CategoryTheory.Presheaf.conesEquivSieveCompatibleFamily_symm_apply_app variable {P S E} {x : FamilyOfElements (P ⋙ coyoneda.obj E) S.arrows} (hx : SieveCompatible x) @[simp] def _root_.CategoryTheory.Presieve.FamilyOfElements.SieveCompatible.cone : Cone (S.arrows.diagram.op ⋙ P) where pt := E.unop π := (conesEquivSieveCompatibleFamily P S E).invFun ⟨x, hx⟩ #align category_theory.presieve.family_of_elements.sieve_compatible.cone CategoryTheory.Presieve.FamilyOfElements.SieveCompatible.cone def homEquivAmalgamation : (hx.cone ⟶ P.mapCone S.arrows.cocone.op) ≃ { t // x.IsAmalgamation t } where toFun l := ⟨l.hom, fun _ f hf => l.w (op ⟨Over.mk f, hf⟩)⟩ invFun t := ⟨t.1, fun f => t.2 f.unop.1.hom f.unop.2⟩ left_inv _ := rfl right_inv _ := rfl #align category_theory.presheaf.hom_equiv_amalgamation CategoryTheory.Presheaf.homEquivAmalgamation variable (P S) theorem isLimit_iff_isSheafFor : Nonempty (IsLimit (P.mapCone S.arrows.cocone.op)) ↔ ∀ E : Aᵒᵖ, IsSheafFor (P ⋙ coyoneda.obj E) S.arrows := by dsimp [IsSheafFor]; simp_rw [compatible_iff_sieveCompatible] rw [((Cone.isLimitEquivIsTerminal _).trans (isTerminalEquivUnique _ _)).nonempty_congr] rw [Classical.nonempty_pi]; constructor · intro hu E x hx specialize hu hx.cone erw [(homEquivAmalgamation hx).uniqueCongr.nonempty_congr] at hu exact (unique_subtype_iff_exists_unique _).1 hu · rintro h ⟨E, π⟩ let eqv := conesEquivSieveCompatibleFamily P S (op E) rw [← eqv.left_inv π] erw [(homEquivAmalgamation (eqv π).2).uniqueCongr.nonempty_congr] rw [unique_subtype_iff_exists_unique] exact h _ _ (eqv π).2 #align category_theory.presheaf.is_limit_iff_is_sheaf_for CategoryTheory.Presheaf.isLimit_iff_isSheafFor
Mathlib/CategoryTheory/Sites/Sheaf.lean
168
187
theorem subsingleton_iff_isSeparatedFor : (∀ c, Subsingleton (c ⟶ P.mapCone S.arrows.cocone.op)) ↔ ∀ E : Aᵒᵖ, IsSeparatedFor (P ⋙ coyoneda.obj E) S.arrows := by
constructor · intro hs E x t₁ t₂ h₁ h₂ have hx := is_compatible_of_exists_amalgamation x ⟨t₁, h₁⟩ rw [compatible_iff_sieveCompatible] at hx specialize hs hx.cone rcases hs with ⟨hs⟩ simpa only [Subtype.mk.injEq] using (show Subtype.mk t₁ h₁ = ⟨t₂, h₂⟩ from (homEquivAmalgamation hx).symm.injective (hs _ _)) · rintro h ⟨E, π⟩ let eqv := conesEquivSieveCompatibleFamily P S (op E) constructor rw [← eqv.left_inv π] intro f₁ f₂ let eqv' := homEquivAmalgamation (eqv π).2 apply eqv'.injective ext apply h _ (eqv π).1 <;> exact (eqv' _).2
17
import Mathlib.Data.Set.Pointwise.Interval import Mathlib.Topology.Algebra.Field import Mathlib.Topology.Algebra.Order.Group #align_import topology.algebra.order.field from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Set Filter TopologicalSpace Function open scoped Pointwise Topology open OrderDual (toDual ofDual)
Mathlib/Topology/Algebra/Order/Field.lean
30
51
theorem TopologicalRing.of_norm {R 𝕜 : Type*} [NonUnitalNonAssocRing R] [LinearOrderedField 𝕜] [TopologicalSpace R] [TopologicalAddGroup R] (norm : R → 𝕜) (norm_nonneg : ∀ x, 0 ≤ norm x) (norm_mul_le : ∀ x y, norm (x * y) ≤ norm x * norm y) (nhds_basis : (𝓝 (0 : R)).HasBasis ((0 : 𝕜) < ·) (fun ε ↦ { x | norm x < ε })) : TopologicalRing R := by
have h0 : ∀ f : R → R, ∀ c ≥ (0 : 𝕜), (∀ x, norm (f x) ≤ c * norm x) → Tendsto f (𝓝 0) (𝓝 0) := by refine fun f c c0 hf ↦ (nhds_basis.tendsto_iff nhds_basis).2 fun ε ε0 ↦ ?_ rcases exists_pos_mul_lt ε0 c with ⟨δ, δ0, hδ⟩ refine ⟨δ, δ0, fun x hx ↦ (hf _).trans_lt ?_⟩ exact (mul_le_mul_of_nonneg_left (le_of_lt hx) c0).trans_lt hδ apply TopologicalRing.of_addGroup_of_nhds_zero case hmul => refine ((nhds_basis.prod nhds_basis).tendsto_iff nhds_basis).2 fun ε ε0 ↦ ?_ refine ⟨(1, ε), ⟨one_pos, ε0⟩, fun (x, y) ⟨hx, hy⟩ => ?_⟩ simp only [sub_zero] at * calc norm (x * y) ≤ norm x * norm y := norm_mul_le _ _ _ < ε := mul_lt_of_le_one_of_lt_of_nonneg hx.le hy (norm_nonneg _) case hmul_left => exact fun x => h0 _ (norm x) (norm_nonneg _) (norm_mul_le x) case hmul_right => exact fun y => h0 (· * y) (norm y) (norm_nonneg y) fun x => (norm_mul_le x y).trans_eq (mul_comm _ _)
17
import Mathlib.Algebra.Category.MonCat.Limits import Mathlib.CategoryTheory.Limits.Preserves.Filtered import Mathlib.CategoryTheory.ConcreteCategory.Elementwise import Mathlib.CategoryTheory.Limits.TypesFiltered #align_import algebra.category.Mon.filtered_colimits from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" set_option linter.uppercaseLean3 false universe v u noncomputable section open scoped Classical open CategoryTheory open CategoryTheory.Limits open CategoryTheory.IsFiltered renaming max → max' -- avoid name collision with `_root_.max`. namespace MonCat.FilteredColimits section -- Porting note: mathlib 3 used `parameters` here, mainly so we can have the abbreviations `M` and -- `M.mk` below, without passing around `F` all the time. variable {J : Type v} [SmallCategory J] (F : J ⥤ MonCatMax.{v, u}) @[to_additive "The colimit of `F ⋙ forget AddMon` in the category of types. In the following, we will construct an additive monoid structure on `M`."] abbrev M := Types.Quot (F ⋙ forget MonCat) #align Mon.filtered_colimits.M MonCat.FilteredColimits.M #align AddMon.filtered_colimits.M AddMonCat.FilteredColimits.M @[to_additive "The canonical projection into the colimit, as a quotient type."] noncomputable abbrev M.mk : (Σ j, F.obj j) → M.{v, u} F := Quot.mk _ #align Mon.filtered_colimits.M.mk MonCat.FilteredColimits.M.mk #align AddMon.filtered_colimits.M.mk AddMonCat.FilteredColimits.M.mk @[to_additive] theorem M.mk_eq (x y : Σ j, F.obj j) (h : ∃ (k : J) (f : x.1 ⟶ k) (g : y.1 ⟶ k), F.map f x.2 = F.map g y.2) : M.mk.{v, u} F x = M.mk F y := Quot.EqvGen_sound (Types.FilteredColimit.eqvGen_quot_rel_of_rel (F ⋙ forget MonCat) x y h) #align Mon.filtered_colimits.M.mk_eq MonCat.FilteredColimits.M.mk_eq #align AddMon.filtered_colimits.M.mk_eq AddMonCat.FilteredColimits.M.mk_eq variable [IsFiltered J] @[to_additive "As `J` is nonempty, we can pick an arbitrary object `j₀ : J`. We use this object to define the \"zero\" in the colimit as the equivalence class of `⟨j₀, 0 : F.obj j₀⟩`."] noncomputable instance colimitOne : One (M.{v, u} F) where one := M.mk F ⟨IsFiltered.nonempty.some,1⟩ #align Mon.filtered_colimits.colimit_has_one MonCat.FilteredColimits.colimitOne #align AddMon.filtered_colimits.colimit_has_zero AddMonCat.FilteredColimits.colimitZero @[to_additive "The definition of the \"zero\" in the colimit is independent of the chosen object of `J`. In particular, this lemma allows us to \"unfold\" the definition of `colimit_zero` at a custom chosen object `j`."] theorem colimit_one_eq (j : J) : (1 : M.{v, u} F) = M.mk F ⟨j, 1⟩ := by apply M.mk_eq refine ⟨max' _ j, IsFiltered.leftToMax _ j, IsFiltered.rightToMax _ j, ?_⟩ simp #align Mon.filtered_colimits.colimit_one_eq MonCat.FilteredColimits.colimit_one_eq #align AddMon.filtered_colimits.colimit_zero_eq AddMonCat.FilteredColimits.colimit_zero_eq @[to_additive "The \"unlifted\" version of addition in the colimit. To add two dependent pairs `⟨j₁, x⟩` and `⟨j₂, y⟩`, we pass to a common successor of `j₁` and `j₂` (given by `IsFiltered.max`) and add them there."] noncomputable def colimitMulAux (x y : Σ j, F.obj j) : M.{v, u} F := M.mk F ⟨IsFiltered.max x.fst y.fst, F.map (IsFiltered.leftToMax x.1 y.1) x.2 * F.map (IsFiltered.rightToMax x.1 y.1) y.2⟩ #align Mon.filtered_colimits.colimit_mul_aux MonCat.FilteredColimits.colimitMulAux #align AddMon.filtered_colimits.colimit_add_aux AddMonCat.FilteredColimits.colimitAddAux @[to_additive "Addition in the colimit is well-defined in the left argument."]
Mathlib/Algebra/Category/MonCat/FilteredColimits.lean
118
137
theorem colimitMulAux_eq_of_rel_left {x x' y : Σ j, F.obj j} (hxx' : Types.FilteredColimit.Rel (F ⋙ forget MonCat) x x') : colimitMulAux.{v, u} F x y = colimitMulAux.{v, u} F x' y := by
cases' x with j₁ x; cases' y with j₂ y; cases' x' with j₃ x' obtain ⟨l, f, g, hfg⟩ := hxx' simp? at hfg says simp only [Functor.comp_obj, Functor.comp_map, forget_map] at hfg obtain ⟨s, α, β, γ, h₁, h₂, h₃⟩ := IsFiltered.tulip (IsFiltered.leftToMax j₁ j₂) (IsFiltered.rightToMax j₁ j₂) (IsFiltered.rightToMax j₃ j₂) (IsFiltered.leftToMax j₃ j₂) f g apply M.mk_eq use s, α, γ dsimp simp_rw [MonoidHom.map_mul] -- Porting note: Lean cannot seem to use lemmas from concrete categories directly change (F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _ = (F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _ simp_rw [← F.map_comp, h₁, h₂, h₃, F.map_comp] congr 1 change F.map _ (F.map _ _) = F.map _ (F.map _ _) rw [hfg]
17
import Mathlib.LinearAlgebra.FreeModule.PID import Mathlib.LinearAlgebra.FreeModule.Finite.Basic import Mathlib.LinearAlgebra.BilinearForm.DualLattice import Mathlib.RingTheory.DedekindDomain.Basic import Mathlib.RingTheory.Localization.Module import Mathlib.RingTheory.Trace #align_import ring_theory.dedekind_domain.integral_closure from "leanprover-community/mathlib"@"4cf7ca0e69e048b006674cf4499e5c7d296a89e0" variable (R A K : Type*) [CommRing R] [CommRing A] [Field K] open scoped nonZeroDivisors Polynomial variable [IsDomain A] section IsIntegralClosure open Algebra variable [Algebra A K] [IsFractionRing A K] variable (L : Type*) [Field L] (C : Type*) [CommRing C] variable [Algebra K L] [Algebra A L] [IsScalarTower A K L] variable [Algebra C L] [IsIntegralClosure C A L] [Algebra A C] [IsScalarTower A C L]
Mathlib/RingTheory/DedekindDomain/IntegralClosure.lean
65
83
theorem IsIntegralClosure.isLocalization [Algebra.IsAlgebraic K L] : IsLocalization (Algebra.algebraMapSubmonoid C A⁰) L := by
haveI : IsDomain C := (IsIntegralClosure.equiv A C L (integralClosure A L)).toMulEquiv.isDomain (integralClosure A L) haveI : NoZeroSMulDivisors A L := NoZeroSMulDivisors.trans A K L haveI : NoZeroSMulDivisors A C := IsIntegralClosure.noZeroSMulDivisors A L refine ⟨?_, fun z => ?_, fun {x y} h => ⟨1, ?_⟩⟩ · rintro ⟨_, x, hx, rfl⟩ rw [isUnit_iff_ne_zero, map_ne_zero_iff _ (IsIntegralClosure.algebraMap_injective C A L), Subtype.coe_mk, map_ne_zero_iff _ (NoZeroSMulDivisors.algebraMap_injective A C)] exact mem_nonZeroDivisors_iff_ne_zero.mp hx · obtain ⟨m, hm⟩ := IsIntegral.exists_multiple_integral_of_isLocalization A⁰ z (Algebra.IsIntegral.isIntegral (R := K) z) obtain ⟨x, hx⟩ : ∃ x, algebraMap C L x = m • z := IsIntegralClosure.isIntegral_iff.mp hm refine ⟨⟨x, algebraMap A C m, m, SetLike.coe_mem m, rfl⟩, ?_⟩ rw [Subtype.coe_mk, ← IsScalarTower.algebraMap_apply, hx, mul_comm, Submonoid.smul_def, smul_def] · simp only [IsIntegralClosure.algebraMap_injective C A L h]
17
import Mathlib.Algebra.Ring.Int import Mathlib.Data.ZMod.Basic import Mathlib.FieldTheory.Finite.Basic import Mathlib.Data.Fintype.BigOperators #align_import number_theory.sum_four_squares from "leanprover-community/mathlib"@"bd9851ca476957ea4549eb19b40e7b5ade9428cc" open Finset Polynomial FiniteField Equiv theorem euler_four_squares {R : Type*} [CommRing R] (a b c d x y z w : R) : (a * x - b * y - c * z - d * w) ^ 2 + (a * y + b * x + c * w - d * z) ^ 2 + (a * z - b * w + c * x + d * y) ^ 2 + (a * w + b * z - c * y + d * x) ^ 2 = (a ^ 2 + b ^ 2 + c ^ 2 + d ^ 2) * (x ^ 2 + y ^ 2 + z ^ 2 + w ^ 2) := by ring theorem Nat.euler_four_squares (a b c d x y z w : ℕ) : ((a : ℤ) * x - b * y - c * z - d * w).natAbs ^ 2 + ((a : ℤ) * y + b * x + c * w - d * z).natAbs ^ 2 + ((a : ℤ) * z - b * w + c * x + d * y).natAbs ^ 2 + ((a : ℤ) * w + b * z - c * y + d * x).natAbs ^ 2 = (a ^ 2 + b ^ 2 + c ^ 2 + d ^ 2) * (x ^ 2 + y ^ 2 + z ^ 2 + w ^ 2) := by rw [← Int.natCast_inj] push_cast simp only [sq_abs, _root_.euler_four_squares] namespace Int theorem sq_add_sq_of_two_mul_sq_add_sq {m x y : ℤ} (h : 2 * m = x ^ 2 + y ^ 2) : m = ((x - y) / 2) ^ 2 + ((x + y) / 2) ^ 2 := have : Even (x ^ 2 + y ^ 2) := by simp [← h, even_mul] have hxaddy : Even (x + y) := by simpa [sq, parity_simps] have hxsuby : Even (x - y) := by simpa [sq, parity_simps] mul_right_injective₀ (show (2 * 2 : ℤ) ≠ 0 by decide) <| calc 2 * 2 * m = (x - y) ^ 2 + (x + y) ^ 2 := by rw [mul_assoc, h]; ring _ = (2 * ((x - y) / 2)) ^ 2 + (2 * ((x + y) / 2)) ^ 2 := by rw [even_iff_two_dvd] at hxsuby hxaddy rw [Int.mul_ediv_cancel' hxsuby, Int.mul_ediv_cancel' hxaddy] _ = 2 * 2 * (((x - y) / 2) ^ 2 + ((x + y) / 2) ^ 2) := by set_option simprocs false in simp [mul_add, pow_succ, mul_comm, mul_assoc, mul_left_comm] #align int.sq_add_sq_of_two_mul_sq_add_sq Int.sq_add_sq_of_two_mul_sq_add_sq -- Porting note (#10756): new theorem theorem lt_of_sum_four_squares_eq_mul {a b c d k m : ℕ} (h : a ^ 2 + b ^ 2 + c ^ 2 + d ^ 2 = k * m) (ha : 2 * a < m) (hb : 2 * b < m) (hc : 2 * c < m) (hd : 2 * d < m) : k < m := by refine _root_.lt_of_mul_lt_mul_right (_root_.lt_of_mul_lt_mul_left ?_ (zero_le (2 ^ 2))) (zero_le m) calc 2 ^ 2 * (k * ↑m) = ∑ i : Fin 4, (2 * ![a, b, c, d] i) ^ 2 := by simp [← h, Fin.sum_univ_succ, mul_add, mul_pow, add_assoc] _ < ∑ _i : Fin 4, m ^ 2 := Finset.sum_lt_sum_of_nonempty Finset.univ_nonempty fun i _ ↦ by refine pow_lt_pow_left ?_ (zero_le _) two_ne_zero fin_cases i <;> assumption _ = 2 ^ 2 * (m * m) := by simp; ring -- Porting note (#10756): new theorem
Mathlib/NumberTheory/SumFourSquares.lean
78
96
theorem exists_sq_add_sq_add_one_eq_mul (p : ℕ) [hp : Fact p.Prime] : ∃ (a b k : ℕ), 0 < k ∧ k < p ∧ a ^ 2 + b ^ 2 + 1 = k * p := by
rcases hp.1.eq_two_or_odd' with (rfl | hodd) · use 1, 0, 1; simp rcases Nat.sq_add_sq_zmodEq p (-1) with ⟨a, b, ha, hb, hab⟩ rcases Int.modEq_iff_dvd.1 hab.symm with ⟨k, hk⟩ rw [sub_neg_eq_add, mul_comm] at hk have hk₀ : 0 < k := by refine pos_of_mul_pos_left ?_ (Nat.cast_nonneg p) rw [← hk] positivity lift k to ℕ using hk₀.le refine ⟨a, b, k, Nat.cast_pos.1 hk₀, ?_, mod_cast hk⟩ replace hk : a ^ 2 + b ^ 2 + 1 ^ 2 + 0 ^ 2 = k * p := mod_cast hk refine lt_of_sum_four_squares_eq_mul hk ?_ ?_ ?_ ?_ · exact (mul_le_mul' le_rfl ha).trans_lt (Nat.mul_div_lt_iff_not_dvd.2 hodd.not_two_dvd_nat) · exact (mul_le_mul' le_rfl hb).trans_lt (Nat.mul_div_lt_iff_not_dvd.2 hodd.not_two_dvd_nat) · exact lt_of_le_of_ne hp.1.two_le (hodd.ne_two_of_dvd_nat (dvd_refl _)).symm · exact hp.1.pos
17
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic import Mathlib.NumberTheory.GaussSum #align_import number_theory.legendre_symbol.quadratic_char.gauss_sum from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" section SpecialValues open ZMod MulChar variable {F : Type*} [Field F] [Fintype F] theorem quadraticChar_two [DecidableEq F] (hF : ringChar F ≠ 2) : quadraticChar F 2 = χ₈ (Fintype.card F) := IsQuadratic.eq_of_eq_coe (quadraticChar_isQuadratic F) isQuadratic_χ₈ hF ((quadraticChar_eq_pow_of_char_ne_two' hF 2).trans (FiniteField.two_pow_card hF)) #align quadratic_char_two quadraticChar_two theorem FiniteField.isSquare_two_iff : IsSquare (2 : F) ↔ Fintype.card F % 8 ≠ 3 ∧ Fintype.card F % 8 ≠ 5 := by classical by_cases hF : ringChar F = 2 focus have h := FiniteField.even_card_of_char_two hF simp only [FiniteField.isSquare_of_char_two hF, true_iff_iff] rotate_left focus have h := FiniteField.odd_card_of_char_ne_two hF rw [← quadraticChar_one_iff_isSquare (Ring.two_ne_zero hF), quadraticChar_two hF, χ₈_nat_eq_if_mod_eight] simp only [h, Nat.one_ne_zero, if_false, ite_eq_left_iff, Ne, (by decide : (-1 : ℤ) ≠ 1), imp_false, Classical.not_not] all_goals rw [← Nat.mod_mod_of_dvd _ (by decide : 2 ∣ 8)] at h have h₁ := Nat.mod_lt (Fintype.card F) (by decide : 0 < 8) revert h₁ h generalize Fintype.card F % 8 = n intros; interval_cases n <;> simp_all -- Porting note (#11043): was `decide!` #align finite_field.is_square_two_iff FiniteField.isSquare_two_iff theorem quadraticChar_neg_two [DecidableEq F] (hF : ringChar F ≠ 2) : quadraticChar F (-2) = χ₈' (Fintype.card F) := by rw [(by norm_num : (-2 : F) = -1 * 2), map_mul, χ₈'_eq_χ₄_mul_χ₈, quadraticChar_neg_one hF, quadraticChar_two hF, @cast_natCast _ (ZMod 4) _ _ _ (by decide : 4 ∣ 8)] #align quadratic_char_neg_two quadraticChar_neg_two
Mathlib/NumberTheory/LegendreSymbol/QuadraticChar/GaussSum.lean
72
91
theorem FiniteField.isSquare_neg_two_iff : IsSquare (-2 : F) ↔ Fintype.card F % 8 ≠ 5 ∧ Fintype.card F % 8 ≠ 7 := by
classical by_cases hF : ringChar F = 2 focus have h := FiniteField.even_card_of_char_two hF simp only [FiniteField.isSquare_of_char_two hF, true_iff_iff] rotate_left focus have h := FiniteField.odd_card_of_char_ne_two hF rw [← quadraticChar_one_iff_isSquare (neg_ne_zero.mpr (Ring.two_ne_zero hF)), quadraticChar_neg_two hF, χ₈'_nat_eq_if_mod_eight] simp only [h, Nat.one_ne_zero, if_false, ite_eq_left_iff, Ne, (by decide : (-1 : ℤ) ≠ 1), imp_false, Classical.not_not] all_goals rw [← Nat.mod_mod_of_dvd _ (by decide : 2 ∣ 8)] at h have h₁ := Nat.mod_lt (Fintype.card F) (by decide : 0 < 8) revert h₁ h generalize Fintype.card F % 8 = n intros; interval_cases n <;> simp_all -- Porting note (#11043): was `decide!`
18
import Mathlib.RingTheory.Derivation.ToSquareZero import Mathlib.RingTheory.Ideal.Cotangent import Mathlib.RingTheory.IsTensorProduct import Mathlib.Algebra.Exact import Mathlib.Algebra.MvPolynomial.PDeriv import Mathlib.Algebra.Polynomial.Derivation #align_import ring_theory.kaehler from "leanprover-community/mathlib"@"4b92a463033b5587bb011657e25e4710bfca7364" suppress_compilation section KaehlerDifferential open scoped TensorProduct open Algebra universe u v variable (R : Type u) (S : Type v) [CommRing R] [CommRing S] [Algebra R S] abbrev KaehlerDifferential.ideal : Ideal (S ⊗[R] S) := RingHom.ker (TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S) #align kaehler_differential.ideal KaehlerDifferential.ideal variable {S} theorem KaehlerDifferential.one_smul_sub_smul_one_mem_ideal (a : S) : (1 : S) ⊗ₜ[R] a - a ⊗ₜ[R] (1 : S) ∈ KaehlerDifferential.ideal R S := by simp [RingHom.mem_ker] #align kaehler_differential.one_smul_sub_smul_one_mem_ideal KaehlerDifferential.one_smul_sub_smul_one_mem_ideal variable {R} variable {M : Type*} [AddCommGroup M] [Module R M] [Module S M] [IsScalarTower R S M] def Derivation.tensorProductTo (D : Derivation R S M) : S ⊗[R] S →ₗ[S] M := TensorProduct.AlgebraTensorModule.lift ((LinearMap.lsmul S (S →ₗ[R] M)).flip D.toLinearMap) #align derivation.tensor_product_to Derivation.tensorProductTo theorem Derivation.tensorProductTo_tmul (D : Derivation R S M) (s t : S) : D.tensorProductTo (s ⊗ₜ t) = s • D t := rfl #align derivation.tensor_product_to_tmul Derivation.tensorProductTo_tmul
Mathlib/RingTheory/Kaehler.lean
78
99
theorem Derivation.tensorProductTo_mul (D : Derivation R S M) (x y : S ⊗[R] S) : D.tensorProductTo (x * y) = TensorProduct.lmul' (S := S) R x • D.tensorProductTo y + TensorProduct.lmul' (S := S) R y • D.tensorProductTo x := by
refine TensorProduct.induction_on x ?_ ?_ ?_ · rw [zero_mul, map_zero, map_zero, zero_smul, smul_zero, add_zero] swap · intro x₁ y₁ h₁ h₂ rw [add_mul, map_add, map_add, map_add, add_smul, smul_add, h₁, h₂, add_add_add_comm] intro x₁ x₂ refine TensorProduct.induction_on y ?_ ?_ ?_ · rw [mul_zero, map_zero, map_zero, zero_smul, smul_zero, add_zero] swap · intro x₁ y₁ h₁ h₂ rw [mul_add, map_add, map_add, map_add, add_smul, smul_add, h₁, h₂, add_add_add_comm] intro x y simp only [TensorProduct.tmul_mul_tmul, Derivation.tensorProductTo, TensorProduct.AlgebraTensorModule.lift_apply, TensorProduct.lift.tmul', TensorProduct.lmul'_apply_tmul] dsimp rw [D.leibniz] simp only [smul_smul, smul_add, mul_comm (x * y) x₁, mul_right_comm x₁ x₂, ← mul_assoc]
18
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 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] #align continuous_map.polynomial_comp_attach_bound ContinuousMap.polynomial_comp_attachBound theorem polynomial_comp_attachBound_mem (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) : (g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound ∈ A := by rw [polynomial_comp_attachBound] apply SetLike.coe_mem #align continuous_map.polynomial_comp_attach_bound_mem ContinuousMap.polynomial_comp_attachBound_mem
Mathlib/Topology/ContinuousFunction/StoneWeierstrass.lean
94
113
theorem comp_attachBound_mem_closure (A : Subalgebra ℝ C(X, ℝ)) (f : A) (p : C(Set.Icc (-‖f‖) ‖f‖, ℝ)) : p.comp (attachBound (f : C(X, ℝ))) ∈ A.topologicalClosure := by
-- `p` itself is in the closure of polynomials, by the Weierstrass theorem, have mem_closure : p ∈ (polynomialFunctions (Set.Icc (-‖f‖) ‖f‖)).topologicalClosure := continuousMap_mem_polynomialFunctions_closure _ _ p -- and so there are polynomials arbitrarily close. have frequently_mem_polynomials := mem_closure_iff_frequently.mp mem_closure -- To prove `p.comp (attachBound f)` is in the closure of `A`, -- we show there are elements of `A` arbitrarily close. apply mem_closure_iff_frequently.mpr -- To show that, we pull back the polynomials close to `p`, refine ((compRightContinuousMap ℝ (attachBound (f : C(X, ℝ)))).continuousAt p).tendsto.frequently_map _ ?_ frequently_mem_polynomials -- but need to show that those pullbacks are actually in `A`. rintro _ ⟨g, ⟨-, rfl⟩⟩ simp only [SetLike.mem_coe, AlgHom.coe_toRingHom, compRightContinuousMap_apply, Polynomial.toContinuousMapOnAlgHom_apply] apply polynomial_comp_attachBound_mem
18
import Mathlib.Data.Set.Equitable import Mathlib.Logic.Equiv.Fin import Mathlib.Order.Partition.Finpartition #align_import order.partition.equipartition from "leanprover-community/mathlib"@"b363547b3113d350d053abdf2884e9850a56b205" open Finset Fintype namespace Finpartition variable {α : Type*} [DecidableEq α] {s t : Finset α} (P : Finpartition s) def IsEquipartition : Prop := (P.parts : Set (Finset α)).EquitableOn card #align finpartition.is_equipartition Finpartition.IsEquipartition theorem isEquipartition_iff_card_parts_eq_average : P.IsEquipartition ↔ ∀ a : Finset α, a ∈ P.parts → a.card = s.card / P.parts.card ∨ a.card = s.card / P.parts.card + 1 := by simp_rw [IsEquipartition, Finset.equitableOn_iff, P.sum_card_parts] #align finpartition.is_equipartition_iff_card_parts_eq_average Finpartition.isEquipartition_iff_card_parts_eq_average variable {P} lemma not_isEquipartition : ¬P.IsEquipartition ↔ ∃ a ∈ P.parts, ∃ b ∈ P.parts, b.card + 1 < a.card := Set.not_equitableOn theorem _root_.Set.Subsingleton.isEquipartition (h : (P.parts : Set (Finset α)).Subsingleton) : P.IsEquipartition := Set.Subsingleton.equitableOn h _ #align finpartition.set.subsingleton.is_equipartition Set.Subsingleton.isEquipartition theorem IsEquipartition.card_parts_eq_average (hP : P.IsEquipartition) (ht : t ∈ P.parts) : t.card = s.card / P.parts.card ∨ t.card = s.card / P.parts.card + 1 := P.isEquipartition_iff_card_parts_eq_average.1 hP _ ht #align finpartition.is_equipartition.card_parts_eq_average Finpartition.IsEquipartition.card_parts_eq_average theorem IsEquipartition.card_part_eq_average_iff (hP : P.IsEquipartition) (ht : t ∈ P.parts) : t.card = s.card / P.parts.card ↔ t.card ≠ s.card / P.parts.card + 1 := by have a := hP.card_parts_eq_average ht have b : ¬(t.card = s.card / P.parts.card ∧ t.card = s.card / P.parts.card + 1) := by by_contra h; exact absurd (h.1 ▸ h.2) (lt_add_one _).ne tauto theorem IsEquipartition.average_le_card_part (hP : P.IsEquipartition) (ht : t ∈ P.parts) : s.card / P.parts.card ≤ t.card := by rw [← P.sum_card_parts] exact Finset.EquitableOn.le hP ht #align finpartition.is_equipartition.average_le_card_part Finpartition.IsEquipartition.average_le_card_part theorem IsEquipartition.card_part_le_average_add_one (hP : P.IsEquipartition) (ht : t ∈ P.parts) : t.card ≤ s.card / P.parts.card + 1 := by rw [← P.sum_card_parts] exact Finset.EquitableOn.le_add_one hP ht #align finpartition.is_equipartition.card_part_le_average_add_one Finpartition.IsEquipartition.card_part_le_average_add_one theorem IsEquipartition.filter_ne_average_add_one_eq_average (hP : P.IsEquipartition) : P.parts.filter (fun p ↦ ¬p.card = s.card / P.parts.card + 1) = P.parts.filter (fun p ↦ p.card = s.card / P.parts.card) := by ext p simp only [mem_filter, and_congr_right_iff] exact fun hp ↦ (hP.card_part_eq_average_iff hp).symm theorem IsEquipartition.card_large_parts_eq_mod (hP : P.IsEquipartition) : (P.parts.filter fun p ↦ p.card = s.card / P.parts.card + 1).card = s.card % P.parts.card := by have z := P.sum_card_parts rw [← sum_filter_add_sum_filter_not (s := P.parts) (p := fun x ↦ x.card = s.card / P.parts.card + 1), hP.filter_ne_average_add_one_eq_average, sum_const_nat (m := s.card / P.parts.card + 1) (by simp), sum_const_nat (m := s.card / P.parts.card) (by simp), ← hP.filter_ne_average_add_one_eq_average, mul_add, add_comm, ← add_assoc, ← add_mul, mul_one, add_comm (Finset.card _), filter_card_add_filter_neg_card_eq_card, add_comm] at z rw [← add_left_inj, Nat.mod_add_div, z] theorem IsEquipartition.card_small_parts_eq_mod (hP : P.IsEquipartition) : (P.parts.filter fun p ↦ p.card = s.card / P.parts.card).card = P.parts.card - s.card % P.parts.card := by conv_rhs => arg 1 rw [← filter_card_add_filter_neg_card_eq_card (p := fun p ↦ p.card = s.card / P.parts.card + 1)] rw [hP.card_large_parts_eq_mod, add_tsub_cancel_left, hP.filter_ne_average_add_one_eq_average]
Mathlib/Order/Partition/Equipartition.lean
114
134
theorem IsEquipartition.exists_partsEquiv (hP : P.IsEquipartition) : ∃ f : P.parts ≃ Fin P.parts.card, ∀ t, t.1.card = s.card / P.parts.card + 1 ↔ f t < s.card % P.parts.card := by
let el := (P.parts.filter fun p ↦ p.card = s.card / P.parts.card + 1).equivFin let es := (P.parts.filter fun p ↦ p.card = s.card / P.parts.card).equivFin simp_rw [mem_filter, hP.card_large_parts_eq_mod] at el simp_rw [mem_filter, hP.card_small_parts_eq_mod] at es let sneg : { x // x ∈ P.parts ∧ ¬x.card = s.card / P.parts.card + 1 } ≃ { x // x ∈ P.parts ∧ x.card = s.card / P.parts.card } := by apply (Equiv.refl _).subtypeEquiv simp only [Equiv.refl_apply, and_congr_right_iff] exact fun _ ha ↦ by rw [hP.card_part_eq_average_iff ha, ne_eq] replace el : { x : P.parts // x.1.card = s.card / P.parts.card + 1 } ≃ Fin (s.card % P.parts.card) := (Equiv.Set.sep ..).symm.trans el replace es : { x : P.parts // ¬x.1.card = s.card / P.parts.card + 1 } ≃ Fin (P.parts.card - s.card % P.parts.card) := (Equiv.Set.sep ..).symm.trans (sneg.trans es) let f := (Equiv.sumCompl _).symm.trans ((el.sumCongr es).trans finSumFinEquiv) use f.trans (finCongr (Nat.add_sub_of_le P.card_mod_card_parts_le)) intro ⟨p, _⟩ simp_rw [f, Equiv.trans_apply, Equiv.sumCongr_apply, finCongr_apply, Fin.coe_cast] by_cases hc : p.card = s.card / P.parts.card + 1 <;> simp [hc]
18
import Mathlib.Algebra.Polynomial.Div import Mathlib.RingTheory.Polynomial.Basic import Mathlib.RingTheory.Ideal.QuotientOperations #align_import ring_theory.polynomial.quotient from "leanprover-community/mathlib"@"4f840b8d28320b20c87db17b3a6eef3d325fca87" set_option linter.uppercaseLean3 false open Polynomial namespace Ideal noncomputable section open Polynomial variable {R : Type*} [CommRing R] theorem quotient_map_C_eq_zero {I : Ideal R} : ∀ a ∈ I, ((Quotient.mk (map (C : R →+* R[X]) I : Ideal R[X])).comp C) a = 0 := by intro a ha rw [RingHom.comp_apply, Quotient.eq_zero_iff_mem] exact mem_map_of_mem _ ha #align ideal.quotient_map_C_eq_zero Ideal.quotient_map_C_eq_zero theorem eval₂_C_mk_eq_zero {I : Ideal R} : ∀ f ∈ (map (C : R →+* R[X]) I : Ideal R[X]), eval₂RingHom (C.comp (Quotient.mk I)) X f = 0 := by intro a ha rw [← sum_monomial_eq a] dsimp rw [eval₂_sum] refine Finset.sum_eq_zero fun n _ => ?_ dsimp rw [eval₂_monomial (C.comp (Quotient.mk I)) X] refine mul_eq_zero_of_left (Polynomial.ext fun m => ?_) (X ^ n) erw [coeff_C] by_cases h : m = 0 · simpa [h] using Quotient.eq_zero_iff_mem.2 ((mem_map_C_iff.1 ha) n) · simp [h] #align ideal.eval₂_C_mk_eq_zero Ideal.eval₂_C_mk_eq_zero def polynomialQuotientEquivQuotientPolynomial (I : Ideal R) : (R ⧸ I)[X] ≃+* R[X] ⧸ (map C I : Ideal R[X]) where toFun := eval₂RingHom (Quotient.lift I ((Quotient.mk (map C I : Ideal R[X])).comp C) quotient_map_C_eq_zero) (Quotient.mk (map C I : Ideal R[X]) X) invFun := Quotient.lift (map C I : Ideal R[X]) (eval₂RingHom (C.comp (Quotient.mk I)) X) eval₂_C_mk_eq_zero map_mul' f g := by simp only [coe_eval₂RingHom, eval₂_mul] map_add' f g := by simp only [eval₂_add, coe_eval₂RingHom] left_inv := by intro f refine Polynomial.induction_on' f ?_ ?_ · intro p q hp hq simp only [coe_eval₂RingHom] at hp hq simp only [coe_eval₂RingHom, hp, hq, RingHom.map_add] · rintro n ⟨x⟩ simp only [← smul_X_eq_monomial, C_mul', Quotient.lift_mk, Submodule.Quotient.quot_mk_eq_mk, Quotient.mk_eq_mk, eval₂_X_pow, eval₂_smul, coe_eval₂RingHom, RingHom.map_pow, eval₂_C, RingHom.coe_comp, RingHom.map_mul, eval₂_X, Function.comp_apply] right_inv := by rintro ⟨f⟩ refine Polynomial.induction_on' f ?_ ?_ · -- Porting note: was `simp_intro p q hp hq` intros p q hp hq simp only [Submodule.Quotient.quot_mk_eq_mk, Quotient.mk_eq_mk, map_add, Quotient.lift_mk, coe_eval₂RingHom] at hp hq ⊢ rw [hp, hq] · intro n a simp only [← smul_X_eq_monomial, ← C_mul' a (X ^ n), Quotient.lift_mk, Submodule.Quotient.quot_mk_eq_mk, Quotient.mk_eq_mk, eval₂_X_pow, eval₂_smul, coe_eval₂RingHom, RingHom.map_pow, eval₂_C, RingHom.coe_comp, RingHom.map_mul, eval₂_X, Function.comp_apply] #align ideal.polynomial_quotient_equiv_quotient_polynomial Ideal.polynomialQuotientEquivQuotientPolynomial @[simp] theorem polynomialQuotientEquivQuotientPolynomial_symm_mk (I : Ideal R) (f : R[X]) : I.polynomialQuotientEquivQuotientPolynomial.symm (Quotient.mk _ f) = f.map (Quotient.mk I) := by rw [polynomialQuotientEquivQuotientPolynomial, RingEquiv.symm_mk, RingEquiv.coe_mk, Equiv.coe_fn_mk, Quotient.lift_mk, coe_eval₂RingHom, eval₂_eq_eval_map, ← Polynomial.map_map, ← eval₂_eq_eval_map, Polynomial.eval₂_C_X] #align ideal.polynomial_quotient_equiv_quotient_polynomial_symm_mk Ideal.polynomialQuotientEquivQuotientPolynomial_symm_mk @[simp] theorem polynomialQuotientEquivQuotientPolynomial_map_mk (I : Ideal R) (f : R[X]) : I.polynomialQuotientEquivQuotientPolynomial (f.map <| Quotient.mk I) = Quotient.mk (map C I : Ideal R[X]) f := by apply (polynomialQuotientEquivQuotientPolynomial I).symm.injective rw [RingEquiv.symm_apply_apply, polynomialQuotientEquivQuotientPolynomial_symm_mk] #align ideal.polynomial_quotient_equiv_quotient_polynomial_map_mk Ideal.polynomialQuotientEquivQuotientPolynomial_map_mk theorem isDomain_map_C_quotient {P : Ideal R} (_ : IsPrime P) : IsDomain (R[X] ⧸ (map (C : R →+* R[X]) P : Ideal R[X])) := MulEquiv.isDomain (Polynomial (R ⧸ P)) (polynomialQuotientEquivQuotientPolynomial P).symm #align ideal.is_domain_map_C_quotient Ideal.isDomain_map_C_quotient
Mathlib/RingTheory/Polynomial/Quotient.lean
175
194
theorem eq_zero_of_polynomial_mem_map_range (I : Ideal R[X]) (x : ((Quotient.mk I).comp C).range) (hx : C x ∈ I.map (Polynomial.mapRingHom ((Quotient.mk I).comp C).rangeRestrict)) : x = 0 := by
let i := ((Quotient.mk I).comp C).rangeRestrict have hi' : RingHom.ker (Polynomial.mapRingHom i) ≤ I := by refine fun f hf => polynomial_mem_ideal_of_coeff_mem_ideal I f fun n => ?_ rw [mem_comap, ← Quotient.eq_zero_iff_mem, ← RingHom.comp_apply] rw [RingHom.mem_ker, coe_mapRingHom] at hf replace hf := congr_arg (fun f : Polynomial _ => f.coeff n) hf simp only [coeff_map, coeff_zero] at hf rwa [Subtype.ext_iff, RingHom.coe_rangeRestrict] at hf obtain ⟨x, hx'⟩ := x obtain ⟨y, rfl⟩ := RingHom.mem_range.1 hx' refine Subtype.eq ?_ simp only [RingHom.comp_apply, Quotient.eq_zero_iff_mem, ZeroMemClass.coe_zero] suffices C (i y) ∈ I.map (Polynomial.mapRingHom i) by obtain ⟨f, hf⟩ := mem_image_of_mem_map_of_surjective (Polynomial.mapRingHom i) (Polynomial.map_surjective _ (RingHom.rangeRestrict_surjective ((Quotient.mk I).comp C))) this refine sub_add_cancel (C y) f ▸ I.add_mem (hi' ?_ : C y - f ∈ I) hf.1 rw [RingHom.mem_ker, RingHom.map_sub, hf.2, sub_eq_zero, coe_mapRingHom, map_C] exact hx
18
import Mathlib.Algebra.Polynomial.UnitTrinomial import Mathlib.RingTheory.Polynomial.GaussLemma import Mathlib.Tactic.LinearCombination #align_import ring_theory.polynomial.selmer from "leanprover-community/mathlib"@"3e00d81bdcbf77c8188bbd18f5524ddc3ed8cac6" namespace Polynomial open scoped Polynomial variable {n : ℕ} theorem X_pow_sub_X_sub_one_irreducible_aux (z : ℂ) : ¬(z ^ n = z + 1 ∧ z ^ n + z ^ 2 = 0) := by rintro ⟨h1, h2⟩ replace h3 : z ^ 3 = 1 := by linear_combination (1 - z - z ^ 2 - z ^ n) * h1 + (z ^ n - 2) * h2 have key : z ^ n = 1 ∨ z ^ n = z ∨ z ^ n = z ^ 2 := by rw [← Nat.mod_add_div n 3, pow_add, pow_mul, h3, one_pow, mul_one] have : n % 3 < 3 := Nat.mod_lt n zero_lt_three interval_cases n % 3 <;> simp only [this, pow_zero, pow_one, eq_self_iff_true, or_true_iff, true_or_iff] have z_ne_zero : z ≠ 0 := fun h => zero_ne_one ((zero_pow three_ne_zero).symm.trans (show (0 : ℂ) ^ 3 = 1 from h ▸ h3)) rcases key with (key | key | key) · exact z_ne_zero (by rwa [key, self_eq_add_left] at h1) · exact one_ne_zero (by rwa [key, self_eq_add_right] at h1) · exact z_ne_zero (pow_eq_zero (by rwa [key, add_self_eq_zero] at h2)) set_option linter.uppercaseLean3 false in #align polynomial.X_pow_sub_X_sub_one_irreducible_aux Polynomial.X_pow_sub_X_sub_one_irreducible_aux
Mathlib/RingTheory/Polynomial/Selmer.lean
49
67
theorem X_pow_sub_X_sub_one_irreducible (hn1 : n ≠ 1) : Irreducible (X ^ n - X - 1 : ℤ[X]) := by
by_cases hn0 : n = 0 · rw [hn0, pow_zero, sub_sub, add_comm, ← sub_sub, sub_self, zero_sub] exact Associated.irreducible ⟨-1, mul_neg_one X⟩ irreducible_X have hn : 1 < n := Nat.one_lt_iff_ne_zero_and_ne_one.mpr ⟨hn0, hn1⟩ have hp : (X ^ n - X - 1 : ℤ[X]) = trinomial 0 1 n (-1) (-1) 1 := by simp only [trinomial, C_neg, C_1]; ring rw [hp] apply IsUnitTrinomial.irreducible_of_coprime' ⟨0, 1, n, zero_lt_one, hn, -1, -1, 1, rfl⟩ rintro z ⟨h1, h2⟩ apply X_pow_sub_X_sub_one_irreducible_aux (n := n) z rw [trinomial_mirror zero_lt_one hn (-1 : ℤˣ).ne_zero (1 : ℤˣ).ne_zero] at h2 simp_rw [trinomial, aeval_add, aeval_mul, aeval_X_pow, aeval_C, Units.val_neg, Units.val_one, map_neg, map_one] at h1 h2 replace h1 : z ^ n = z + 1 := by linear_combination h1 replace h2 := mul_eq_zero_of_left h2 z rw [add_mul, add_mul, add_zero, mul_assoc (-1 : ℂ), ← pow_succ, Nat.sub_add_cancel hn.le] at h2 rw [h1] at h2 ⊢ exact ⟨rfl, by linear_combination -h2⟩
18
import Mathlib.NumberTheory.ZetaValues import Mathlib.NumberTheory.LSeries.RiemannZeta open Complex Real Set open scoped Nat namespace HurwitzZeta variable {k : ℕ} {x : ℝ} theorem cosZeta_two_mul_nat (hk : k ≠ 0) (hx : x ∈ Icc 0 1) : cosZeta x (2 * k) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k) / 2 / (2 * k)! * ((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [← (hasSum_nat_cosZeta x (?_ : 1 < re (2 * k))).tsum_eq] refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_cos hk hx).tsum_eq).trans ?_ · rw [ofReal_tsum] refine tsum_congr fun n ↦ ?_ rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc, ← Nat.cast_ofNat (R := ℂ), ← Nat.cast_mul, cpow_natCast, ofReal_pow, ofReal_natCast] · simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat, ofReal_neg, ofReal_one] congr 1 have : (Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ) = _ := (Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe] apply Polynomial.map_aeval_eq_aeval_map simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq] · rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, natCast_re, Nat.cast_lt] omega theorem sinZeta_two_mul_nat_add_one (hk : k ≠ 0) (hx : x ∈ Icc 0 1) : sinZeta x (2 * k + 1) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k + 1) / 2 / (2 * k + 1)! * ((Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [← (hasSum_nat_sinZeta x (?_ : 1 < re (2 * k + 1))).tsum_eq] refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_sin hk hx).tsum_eq).trans ?_ · rw [ofReal_tsum] refine tsum_congr fun n ↦ ?_ rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc] congr 1 rw [← Nat.cast_ofNat, ← Nat.cast_mul, ← Nat.cast_add_one, cpow_natCast, ofReal_pow, ofReal_natCast] · simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat, ofReal_neg, ofReal_one] congr 1 have : (Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ) = _ := (Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe] apply Polynomial.map_aeval_eq_aeval_map simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq] · rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, ← Nat.cast_add_one, natCast_re, Nat.cast_lt, lt_add_iff_pos_left] exact mul_pos two_pos (Nat.pos_of_ne_zero hk) theorem cosZeta_two_mul_nat' (hk : k ≠ 0) (hx : x ∈ Icc (0 : ℝ) 1) : cosZeta x (2 * k) = (-1) ^ (k + 1) / (2 * k) / Gammaℂ (2 * k) * ((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [cosZeta_two_mul_nat hk hx] congr 1 have : (2 * k)! = (2 * k) * Complex.Gamma (2 * k) := by rw [(by { norm_cast; omega } : 2 * (k : ℂ) = ↑(2 * k - 1) + 1), Complex.Gamma_nat_eq_factorial, ← Nat.cast_add_one, ← Nat.cast_mul, ← Nat.factorial_succ, Nat.sub_add_cancel (by omega)] simp_rw [this, Gammaℂ, cpow_neg, ← div_div, div_inv_eq_mul, div_mul_eq_mul_div, div_div, mul_right_comm (2 : ℂ) (k : ℂ)] norm_cast theorem sinZeta_two_mul_nat_add_one' (hk : k ≠ 0) (hx : x ∈ Icc (0 : ℝ) 1) : sinZeta x (2 * k + 1) = (-1) ^ (k + 1) / (2 * k + 1) / Gammaℂ (2 * k + 1) * ((Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [sinZeta_two_mul_nat_add_one hk hx] congr 1 have : (2 * k + 1)! = (2 * k + 1) * Complex.Gamma (2 * k + 1) := by rw [(by simp : Complex.Gamma (2 * k + 1) = Complex.Gamma (↑(2 * k) + 1)), Complex.Gamma_nat_eq_factorial, ← Nat.cast_ofNat (R := ℂ), ← Nat.cast_mul, ← Nat.cast_add_one, ← Nat.cast_mul, ← Nat.factorial_succ] simp_rw [this, Gammaℂ, cpow_neg, ← div_div, div_inv_eq_mul, div_mul_eq_mul_div, div_div] rw [(by simp : 2 * (k : ℂ) + 1 = ↑(2 * k + 1)), cpow_natCast] ring
Mathlib/NumberTheory/LSeries/HurwitzZetaValues.lean
126
146
theorem hurwitzZetaEven_one_sub_two_mul_nat (hk : k ≠ 0) (hx : x ∈ Icc (0 : ℝ) 1) : hurwitzZetaEven x (1 - 2 * k) = -1 / (2 * k) * ((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by
have h1 (n : ℕ) : (2 * k : ℂ) ≠ -n := by rw [← Int.cast_ofNat, ← Int.cast_natCast, ← Int.cast_mul, ← Int.cast_natCast n, ← Int.cast_neg, Ne, Int.cast_inj, ← Ne] refine ne_of_gt ((neg_nonpos_of_nonneg n.cast_nonneg).trans_lt (mul_pos two_pos ?_)) exact Nat.cast_pos.mpr (Nat.pos_of_ne_zero hk) have h2 : (2 * k : ℂ) ≠ 1 := by norm_cast; simp only [mul_eq_one, OfNat.ofNat_ne_one, false_and, not_false_eq_true] have h3 : Gammaℂ (2 * k) ≠ 0 := by refine mul_ne_zero (mul_ne_zero two_ne_zero ?_) (Gamma_ne_zero h1) simp only [ne_eq, cpow_eq_zero_iff, mul_eq_zero, OfNat.ofNat_ne_zero, ofReal_eq_zero, pi_ne_zero, Nat.cast_eq_zero, false_or, false_and, not_false_eq_true] rw [hurwitzZetaEven_one_sub _ h1 (Or.inr h2), ← Gammaℂ, cosZeta_two_mul_nat' hk hx, ← mul_assoc, ← mul_div_assoc, mul_assoc, mul_div_cancel_left₀ _ h3, ← mul_div_assoc] congr 2 rw [mul_div_assoc, mul_div_cancel_left₀ _ two_ne_zero, ← ofReal_natCast, ← ofReal_mul, ← ofReal_cos, mul_comm π, ← sub_zero (k * π), cos_nat_mul_pi_sub, Real.cos_zero, mul_one, ofReal_pow, ofReal_neg, ofReal_one, pow_succ, mul_neg_one, mul_neg, ← mul_pow, neg_one_mul, neg_neg, one_pow]
18
import Mathlib.NumberTheory.Padics.PadicIntegers import Mathlib.RingTheory.ZMod #align_import number_theory.padics.ring_homs from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950" noncomputable section open scoped Classical open Nat LocalRing Padic namespace PadicInt variable {p : ℕ} [hp_prime : Fact p.Prime] section RingHoms variable (p) (r : ℚ) def modPart : ℤ := r.num * gcdA r.den p % p #align padic_int.mod_part PadicInt.modPart variable {p} theorem modPart_lt_p : modPart p r < p := by convert Int.emod_lt _ _ · simp · exact mod_cast hp_prime.1.ne_zero #align padic_int.mod_part_lt_p PadicInt.modPart_lt_p theorem modPart_nonneg : 0 ≤ modPart p r := Int.emod_nonneg _ <| mod_cast hp_prime.1.ne_zero #align padic_int.mod_part_nonneg PadicInt.modPart_nonneg
Mathlib/NumberTheory/Padics/RingHoms.lean
82
101
theorem isUnit_den (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) : IsUnit (r.den : ℤ_[p]) := by
rw [isUnit_iff] apply le_antisymm (r.den : ℤ_[p]).2 rw [← not_lt, coe_natCast] intro norm_denom_lt have hr : ‖(r * r.den : ℚ_[p])‖ = ‖(r.num : ℚ_[p])‖ := by congr rw_mod_cast [@Rat.mul_den_eq_num r] rw [padicNormE.mul] at hr have key : ‖(r.num : ℚ_[p])‖ < 1 := by calc _ = _ := hr.symm _ < 1 * 1 := mul_lt_mul' h norm_denom_lt (norm_nonneg _) zero_lt_one _ = 1 := mul_one 1 have : ↑p ∣ r.num ∧ (p : ℤ) ∣ r.den := by simp only [← norm_int_lt_one_iff_dvd, ← padic_norm_e_of_padicInt] exact ⟨key, norm_denom_lt⟩ apply hp_prime.1.not_dvd_one rwa [← r.reduced.gcd_eq_one, Nat.dvd_gcd_iff, ← Int.natCast_dvd, ← Int.natCast_dvd_natCast]
18
import Mathlib.Analysis.Complex.Basic import Mathlib.FieldTheory.IntermediateField import Mathlib.Topology.Algebra.Field import Mathlib.Topology.Algebra.UniformRing #align_import topology.instances.complex from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" section ComplexSubfield open Complex Set open ComplexConjugate
Mathlib/Topology/Instances/Complex.lean
25
44
theorem Complex.subfield_eq_of_closed {K : Subfield ℂ} (hc : IsClosed (K : Set ℂ)) : K = ofReal.fieldRange ∨ K = ⊤ := by
suffices range (ofReal' : ℝ → ℂ) ⊆ K by rw [range_subset_iff, ← coe_algebraMap] at this have := (Subalgebra.isSimpleOrder_of_finrank finrank_real_complex).eq_bot_or_eq_top (Subfield.toIntermediateField K this).toSubalgebra simp_rw [← SetLike.coe_set_eq, IntermediateField.coe_toSubalgebra] at this ⊢ exact this suffices range (ofReal' : ℝ → ℂ) ⊆ closure (Set.range ((ofReal' : ℝ → ℂ) ∘ ((↑) : ℚ → ℝ))) by refine subset_trans this ?_ rw [← IsClosed.closure_eq hc] apply closure_mono rintro _ ⟨_, rfl⟩ simp only [Function.comp_apply, ofReal_ratCast, SetLike.mem_coe, SubfieldClass.ratCast_mem] nth_rw 1 [range_comp] refine subset_trans ?_ (image_closure_subset_closure_image continuous_ofReal) rw [DenseRange.closure_range Rat.denseEmbedding_coe_real.dense] simp only [image_univ] rfl
18
import Mathlib.GroupTheory.Abelianization import Mathlib.GroupTheory.Exponent import Mathlib.GroupTheory.Transfer #align_import group_theory.schreier from "leanprover-community/mathlib"@"8350c34a64b9bc3fc64335df8006bffcadc7baa6" open scoped Pointwise namespace Subgroup open MemRightTransversals variable {G : Type*} [Group G] {H : Subgroup G} {R S : Set G} theorem closure_mul_image_mul_eq_top (hR : R ∈ rightTransversals (H : Set G)) (hR1 : (1 : G) ∈ R) (hS : closure S = ⊤) : (closure ((R * S).image fun g => g * (toFun hR g : G)⁻¹)) * R = ⊤ := by let f : G → R := fun g => toFun hR g let U : Set G := (R * S).image fun g => g * (f g : G)⁻¹ change (closure U : Set G) * R = ⊤ refine top_le_iff.mp fun g _ => ?_ refine closure_induction_right ?_ ?_ ?_ (eq_top_iff.mp hS (mem_top g)) · exact ⟨1, (closure U).one_mem, 1, hR1, one_mul 1⟩ · rintro - - s hs ⟨u, hu, r, hr, rfl⟩ rw [show u * r * s = u * (r * s * (f (r * s) : G)⁻¹) * f (r * s) by group] refine Set.mul_mem_mul ((closure U).mul_mem hu ?_) (f (r * s)).coe_prop exact subset_closure ⟨r * s, Set.mul_mem_mul hr hs, rfl⟩ · rintro - - s hs ⟨u, hu, r, hr, rfl⟩ rw [show u * r * s⁻¹ = u * (f (r * s⁻¹) * s * r⁻¹)⁻¹ * f (r * s⁻¹) by group] refine Set.mul_mem_mul ((closure U).mul_mem hu ((closure U).inv_mem ?_)) (f (r * s⁻¹)).2 refine subset_closure ⟨f (r * s⁻¹) * s, Set.mul_mem_mul (f (r * s⁻¹)).2 hs, ?_⟩ rw [mul_right_inj, inv_inj, ← Subtype.coe_mk r hr, ← Subtype.ext_iff, Subtype.coe_mk] apply (mem_rightTransversals_iff_existsUnique_mul_inv_mem.mp hR (f (r * s⁻¹) * s)).unique (mul_inv_toFun_mem hR (f (r * s⁻¹) * s)) rw [mul_assoc, ← inv_inv s, ← mul_inv_rev, inv_inv] exact toFun_mul_inv_mem hR (r * s⁻¹) #align subgroup.closure_mul_image_mul_eq_top Subgroup.closure_mul_image_mul_eq_top theorem closure_mul_image_eq (hR : R ∈ rightTransversals (H : Set G)) (hR1 : (1 : G) ∈ R) (hS : closure S = ⊤) : closure ((R * S).image fun g => g * (toFun hR g : G)⁻¹) = H := by have hU : closure ((R * S).image fun g => g * (toFun hR g : G)⁻¹) ≤ H := by rw [closure_le] rintro - ⟨g, -, rfl⟩ exact mul_inv_toFun_mem hR g refine le_antisymm hU fun h hh => ?_ obtain ⟨g, hg, r, hr, rfl⟩ := show h ∈ _ from eq_top_iff.mp (closure_mul_image_mul_eq_top hR hR1 hS) (mem_top h) suffices (⟨r, hr⟩ : R) = (⟨1, hR1⟩ : R) by simpa only [show r = 1 from Subtype.ext_iff.mp this, mul_one] apply (mem_rightTransversals_iff_existsUnique_mul_inv_mem.mp hR r).unique · rw [Subtype.coe_mk, mul_inv_self] exact H.one_mem · rw [Subtype.coe_mk, inv_one, mul_one] exact (H.mul_mem_cancel_left (hU hg)).mp hh #align subgroup.closure_mul_image_eq Subgroup.closure_mul_image_eq theorem closure_mul_image_eq_top (hR : R ∈ rightTransversals (H : Set G)) (hR1 : (1 : G) ∈ R) (hS : closure S = ⊤) : closure ((R * S).image fun g => ⟨g * (toFun hR g : G)⁻¹, mul_inv_toFun_mem hR g⟩ : Set H) = ⊤ := by rw [eq_top_iff, ← map_subtype_le_map_subtype, MonoidHom.map_closure, Set.image_image] exact (map_subtype_le ⊤).trans (ge_of_eq (closure_mul_image_eq hR hR1 hS)) #align subgroup.closure_mul_image_eq_top Subgroup.closure_mul_image_eq_top theorem closure_mul_image_eq_top' [DecidableEq G] {R S : Finset G} (hR : (R : Set G) ∈ rightTransversals (H : Set G)) (hR1 : (1 : G) ∈ R) (hS : closure (S : Set G) = ⊤) : closure (((R * S).image fun g => ⟨_, mul_inv_toFun_mem hR g⟩ : Finset H) : Set H) = ⊤ := by rw [Finset.coe_image, Finset.coe_mul] exact closure_mul_image_eq_top hR hR1 hS #align subgroup.closure_mul_image_eq_top' Subgroup.closure_mul_image_eq_top' variable (H)
Mathlib/GroupTheory/Schreier.lean
105
124
theorem exists_finset_card_le_mul [FiniteIndex H] {S : Finset G} (hS : closure (S : Set G) = ⊤) : ∃ T : Finset H, T.card ≤ H.index * S.card ∧ closure (T : Set H) = ⊤ := by
letI := H.fintypeQuotientOfFiniteIndex haveI : DecidableEq G := Classical.decEq G obtain ⟨R₀, hR, hR1⟩ := H.exists_right_transversal 1 haveI : Fintype R₀ := Fintype.ofEquiv _ (toEquiv hR) let R : Finset G := Set.toFinset R₀ replace hR : (R : Set G) ∈ rightTransversals (H : Set G) := by rwa [Set.coe_toFinset] replace hR1 : (1 : G) ∈ R := by rwa [Set.mem_toFinset] refine ⟨_, ?_, closure_mul_image_eq_top' hR hR1 hS⟩ calc _ ≤ (R * S).card := Finset.card_image_le _ ≤ (R ×ˢ S).card := Finset.card_image_le _ = R.card * S.card := R.card_product S _ = H.index * S.card := congr_arg (· * S.card) ?_ calc R.card = Fintype.card R := (Fintype.card_coe R).symm _ = _ := (Fintype.card_congr (toEquiv hR)).symm _ = Fintype.card (G ⧸ H) := QuotientGroup.card_quotient_rightRel H _ = H.index := H.index_eq_card.symm
18
import Mathlib.LinearAlgebra.TensorAlgebra.Basic import Mathlib.LinearAlgebra.TensorPower #align_import linear_algebra.tensor_algebra.to_tensor_power from "leanprover-community/mathlib"@"d97a0c9f7a7efe6d76d652c5a6b7c9c634b70e0a" suppress_compilation open scoped DirectSum TensorProduct variable {R M : Type*} [CommSemiring R] [AddCommMonoid M] [Module R M] namespace TensorPower def toTensorAlgebra {n} : ⨂[R]^n M →ₗ[R] TensorAlgebra R M := PiTensorProduct.lift (TensorAlgebra.tprod R M n) #align tensor_power.to_tensor_algebra TensorPower.toTensorAlgebra @[simp] theorem toTensorAlgebra_tprod {n} (x : Fin n → M) : TensorPower.toTensorAlgebra (PiTensorProduct.tprod R x) = TensorAlgebra.tprod R M n x := PiTensorProduct.lift.tprod _ #align tensor_power.to_tensor_algebra_tprod TensorPower.toTensorAlgebra_tprod @[simp] theorem toTensorAlgebra_gOne : TensorPower.toTensorAlgebra (@GradedMonoid.GOne.one _ (fun n => ⨂[R]^n M) _ _) = 1 := TensorPower.toTensorAlgebra_tprod _ #align tensor_power.to_tensor_algebra_ghas_one TensorPower.toTensorAlgebra_gOne @[simp]
Mathlib/LinearAlgebra/TensorAlgebra/ToTensorPower.lean
44
64
theorem toTensorAlgebra_gMul {i j} (a : (⨂[R]^i) M) (b : (⨂[R]^j) M) : TensorPower.toTensorAlgebra (@GradedMonoid.GMul.mul _ (fun n => ⨂[R]^n M) _ _ _ _ a b) = TensorPower.toTensorAlgebra a * TensorPower.toTensorAlgebra b := by
-- change `a` and `b` to `tprod R a` and `tprod R b` rw [TensorPower.gMul_eq_coe_linearMap, ← LinearMap.compr₂_apply, ← @LinearMap.mul_apply' R, ← LinearMap.compl₂_apply, ← LinearMap.comp_apply] refine LinearMap.congr_fun (LinearMap.congr_fun ?_ a) b clear! a b ext (a b) -- Porting note: pulled the next two lines out of the long `simp only` below. simp only [LinearMap.compMultilinearMap_apply] rw [LinearMap.compr₂_apply, ← gMul_eq_coe_linearMap] simp only [LinearMap.compr₂_apply, LinearMap.mul_apply', LinearMap.compl₂_apply, LinearMap.comp_apply, LinearMap.compMultilinearMap_apply, PiTensorProduct.lift.tprod, TensorPower.tprod_mul_tprod, TensorPower.toTensorAlgebra_tprod, TensorAlgebra.tprod_apply, ← gMul_eq_coe_linearMap] refine Eq.trans ?_ List.prod_append congr -- Porting note: `erw` for `Function.comp` erw [← List.map_ofFn _ (TensorAlgebra.ι R), ← List.map_ofFn _ (TensorAlgebra.ι R), ← List.map_ofFn _ (TensorAlgebra.ι R), ← List.map_append, List.ofFn_fin_append]
18
import Mathlib.Algebra.ContinuedFractions.Computation.Approximations import Mathlib.Algebra.ContinuedFractions.Computation.CorrectnessTerminating import Mathlib.Data.Rat.Floor #align_import algebra.continued_fractions.computation.terminates_iff_rat from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace GeneralizedContinuedFraction open GeneralizedContinuedFraction (of) variable {K : Type*} [LinearOrderedField K] [FloorRing K] attribute [local simp] Pair.map IntFractPair.mapFr section RatTranslation -- The lifting works for arbitrary linear ordered fields with a floor function. variable {v : K} {q : ℚ} (v_eq_q : v = (↑q : K)) (n : ℕ) namespace IntFractPair theorem coe_of_rat_eq : ((IntFractPair.of q).mapFr (↑) : IntFractPair K) = IntFractPair.of v := by simp [IntFractPair.of, v_eq_q] #align generalized_continued_fraction.int_fract_pair.coe_of_rat_eq GeneralizedContinuedFraction.IntFractPair.coe_of_rat_eq
Mathlib/Algebra/ContinuedFractions/Computation/TerminatesIffRat.lean
174
194
theorem coe_stream_nth_rat_eq : ((IntFractPair.stream q n).map (mapFr (↑)) : Option <| IntFractPair K) = IntFractPair.stream v n := by
induction n with | zero => -- Porting note: was -- simp [IntFractPair.stream, coe_of_rat_eq v_eq_q] simp only [IntFractPair.stream, Option.map_some', coe_of_rat_eq v_eq_q] | succ n IH => rw [v_eq_q] at IH cases stream_q_nth_eq : IntFractPair.stream q n with | none => simp [IntFractPair.stream, IH.symm, v_eq_q, stream_q_nth_eq] | some ifp_n => cases' ifp_n with b fr cases' Decidable.em (fr = 0) with fr_zero fr_ne_zero · simp [IntFractPair.stream, IH.symm, v_eq_q, stream_q_nth_eq, fr_zero] · replace IH : some (IntFractPair.mk b (fr : K)) = IntFractPair.stream (↑q) n := by rwa [stream_q_nth_eq] at IH have : (fr : K)⁻¹ = ((fr⁻¹ : ℚ) : K) := by norm_cast have coe_of_fr := coe_of_rat_eq this simpa [IntFractPair.stream, IH.symm, v_eq_q, stream_q_nth_eq, fr_ne_zero]
18
import Mathlib.Topology.Instances.ENNReal import Mathlib.MeasureTheory.Measure.Dirac #align_import probability.probability_mass_function.basic from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal MeasureTheory def PMF.{u} (α : Type u) : Type u := { f : α → ℝ≥0∞ // HasSum f 1 } #align pmf PMF namespace PMF instance instFunLike : FunLike (PMF α) α ℝ≥0∞ where coe p a := p.1 a coe_injective' _ _ h := Subtype.eq h #align pmf.fun_like PMF.instFunLike @[ext] protected theorem ext {p q : PMF α} (h : ∀ x, p x = q x) : p = q := DFunLike.ext p q h #align pmf.ext PMF.ext theorem ext_iff {p q : PMF α} : p = q ↔ ∀ x, p x = q x := DFunLike.ext_iff #align pmf.ext_iff PMF.ext_iff theorem hasSum_coe_one (p : PMF α) : HasSum p 1 := p.2 #align pmf.has_sum_coe_one PMF.hasSum_coe_one @[simp] theorem tsum_coe (p : PMF α) : ∑' a, p a = 1 := p.hasSum_coe_one.tsum_eq #align pmf.tsum_coe PMF.tsum_coe theorem tsum_coe_ne_top (p : PMF α) : ∑' a, p a ≠ ∞ := p.tsum_coe.symm ▸ ENNReal.one_ne_top #align pmf.tsum_coe_ne_top PMF.tsum_coe_ne_top theorem tsum_coe_indicator_ne_top (p : PMF α) (s : Set α) : ∑' a, s.indicator p a ≠ ∞ := ne_of_lt (lt_of_le_of_lt (tsum_le_tsum (fun _ => Set.indicator_apply_le fun _ => le_rfl) ENNReal.summable ENNReal.summable) (lt_of_le_of_ne le_top p.tsum_coe_ne_top)) #align pmf.tsum_coe_indicator_ne_top PMF.tsum_coe_indicator_ne_top @[simp] theorem coe_ne_zero (p : PMF α) : ⇑p ≠ 0 := fun hp => zero_ne_one ((tsum_zero.symm.trans (tsum_congr fun x => symm (congr_fun hp x))).trans p.tsum_coe) #align pmf.coe_ne_zero PMF.coe_ne_zero def support (p : PMF α) : Set α := Function.support p #align pmf.support PMF.support @[simp] theorem mem_support_iff (p : PMF α) (a : α) : a ∈ p.support ↔ p a ≠ 0 := Iff.rfl #align pmf.mem_support_iff PMF.mem_support_iff @[simp] theorem support_nonempty (p : PMF α) : p.support.Nonempty := Function.support_nonempty_iff.2 p.coe_ne_zero #align pmf.support_nonempty PMF.support_nonempty @[simp] theorem support_countable (p : PMF α) : p.support.Countable := Summable.countable_support_ennreal (tsum_coe_ne_top p) theorem apply_eq_zero_iff (p : PMF α) (a : α) : p a = 0 ↔ a ∉ p.support := by rw [mem_support_iff, Classical.not_not] #align pmf.apply_eq_zero_iff PMF.apply_eq_zero_iff theorem apply_pos_iff (p : PMF α) (a : α) : 0 < p a ↔ a ∈ p.support := pos_iff_ne_zero.trans (p.mem_support_iff a).symm #align pmf.apply_pos_iff PMF.apply_pos_iff
Mathlib/Probability/ProbabilityMassFunction/Basic.lean
115
133
theorem apply_eq_one_iff (p : PMF α) (a : α) : p a = 1 ↔ p.support = {a} := by
refine ⟨fun h => Set.Subset.antisymm (fun a' ha' => by_contra fun ha => ?_) fun a' ha' => ha'.symm ▸ (p.mem_support_iff a).2 fun ha => zero_ne_one <| ha.symm.trans h, fun h => _root_.trans (symm <| tsum_eq_single a fun a' ha' => (p.apply_eq_zero_iff a').2 (h.symm ▸ ha')) p.tsum_coe⟩ suffices 1 < ∑' a, p a from ne_of_lt this p.tsum_coe.symm have : 0 < ∑' b, ite (b = a) 0 (p b) := lt_of_le_of_ne' zero_le' ((tsum_ne_zero_iff ENNReal.summable).2 ⟨a', ite_ne_left_iff.2 ⟨ha, Ne.symm <| (p.mem_support_iff a').2 ha'⟩⟩) calc 1 = 1 + 0 := (add_zero 1).symm _ < p a + ∑' b, ite (b = a) 0 (p b) := (ENNReal.add_lt_add_of_le_of_lt ENNReal.one_ne_top (le_of_eq h.symm) this) _ = ite (a = a) (p a) 0 + ∑' b, ite (b = a) 0 (p b) := by rw [eq_self_iff_true, if_true] _ = (∑' b, ite (b = a) (p b) 0) + ∑' b, ite (b = a) 0 (p b) := by congr exact symm (tsum_eq_single a fun b hb => if_neg hb) _ = ∑' b, (ite (b = a) (p b) 0 + ite (b = a) 0 (p b)) := ENNReal.tsum_add.symm _ = ∑' b, p b := tsum_congr fun b => by split_ifs <;> simp only [zero_add, add_zero, le_rfl]
18
import Mathlib.LinearAlgebra.FreeModule.PID import Mathlib.LinearAlgebra.FreeModule.Finite.Basic import Mathlib.LinearAlgebra.BilinearForm.DualLattice import Mathlib.RingTheory.DedekindDomain.Basic import Mathlib.RingTheory.Localization.Module import Mathlib.RingTheory.Trace #align_import ring_theory.dedekind_domain.integral_closure from "leanprover-community/mathlib"@"4cf7ca0e69e048b006674cf4499e5c7d296a89e0" variable (R A K : Type*) [CommRing R] [CommRing A] [Field K] open scoped nonZeroDivisors Polynomial variable [IsDomain A] section IsIntegralClosure open Algebra variable [Algebra A K] [IsFractionRing A K] variable (L : Type*) [Field L] (C : Type*) [CommRing C] variable [Algebra K L] [Algebra A L] [IsScalarTower A K L] variable [Algebra C L] [IsIntegralClosure C A L] [Algebra A C] [IsScalarTower A C L] theorem IsIntegralClosure.isLocalization [Algebra.IsAlgebraic K L] : IsLocalization (Algebra.algebraMapSubmonoid C A⁰) L := by haveI : IsDomain C := (IsIntegralClosure.equiv A C L (integralClosure A L)).toMulEquiv.isDomain (integralClosure A L) haveI : NoZeroSMulDivisors A L := NoZeroSMulDivisors.trans A K L haveI : NoZeroSMulDivisors A C := IsIntegralClosure.noZeroSMulDivisors A L refine ⟨?_, fun z => ?_, fun {x y} h => ⟨1, ?_⟩⟩ · rintro ⟨_, x, hx, rfl⟩ rw [isUnit_iff_ne_zero, map_ne_zero_iff _ (IsIntegralClosure.algebraMap_injective C A L), Subtype.coe_mk, map_ne_zero_iff _ (NoZeroSMulDivisors.algebraMap_injective A C)] exact mem_nonZeroDivisors_iff_ne_zero.mp hx · obtain ⟨m, hm⟩ := IsIntegral.exists_multiple_integral_of_isLocalization A⁰ z (Algebra.IsIntegral.isIntegral (R := K) z) obtain ⟨x, hx⟩ : ∃ x, algebraMap C L x = m • z := IsIntegralClosure.isIntegral_iff.mp hm refine ⟨⟨x, algebraMap A C m, m, SetLike.coe_mem m, rfl⟩, ?_⟩ rw [Subtype.coe_mk, ← IsScalarTower.algebraMap_apply, hx, mul_comm, Submonoid.smul_def, smul_def] · simp only [IsIntegralClosure.algebraMap_injective C A L h] theorem IsIntegralClosure.isLocalization_of_isSeparable [IsSeparable K L] : IsLocalization (Algebra.algebraMapSubmonoid C A⁰) L := IsIntegralClosure.isLocalization A K L C #align is_integral_closure.is_localization IsIntegralClosure.isLocalization_of_isSeparable variable [FiniteDimensional K L] variable {A K L} theorem IsIntegralClosure.range_le_span_dualBasis [IsSeparable K L] {ι : Type*} [Fintype ι] [DecidableEq ι] (b : Basis ι K L) (hb_int : ∀ i, IsIntegral A (b i)) [IsIntegrallyClosed A] : LinearMap.range ((Algebra.linearMap C L).restrictScalars A) ≤ Submodule.span A (Set.range <| (traceForm K L).dualBasis (traceForm_nondegenerate K L) b) := by rw [← LinearMap.BilinForm.dualSubmodule_span_of_basis, ← LinearMap.BilinForm.le_flip_dualSubmodule, Submodule.span_le] rintro _ ⟨i, rfl⟩ _ ⟨y, rfl⟩ simp only [LinearMap.coe_restrictScalars, linearMap_apply, LinearMap.BilinForm.flip_apply, traceForm_apply] refine IsIntegrallyClosed.isIntegral_iff.mp ?_ exact isIntegral_trace ((IsIntegralClosure.isIntegral A L y).algebraMap.mul (hb_int i)) #align is_integral_closure.range_le_span_dual_basis IsIntegralClosure.range_le_span_dualBasis theorem integralClosure_le_span_dualBasis [IsSeparable K L] {ι : Type*} [Fintype ι] [DecidableEq ι] (b : Basis ι K L) (hb_int : ∀ i, IsIntegral A (b i)) [IsIntegrallyClosed A] : Subalgebra.toSubmodule (integralClosure A L) ≤ Submodule.span A (Set.range <| (traceForm K L).dualBasis (traceForm_nondegenerate K L) b) := by refine le_trans ?_ (IsIntegralClosure.range_le_span_dualBasis (integralClosure A L) b hb_int) intro x hx exact ⟨⟨x, hx⟩, rfl⟩ #align integral_closure_le_span_dual_basis integralClosure_le_span_dualBasis variable (A K)
Mathlib/RingTheory/DedekindDomain/IntegralClosure.lean
119
138
theorem exists_integral_multiples (s : Finset L) : ∃ y ≠ (0 : A), ∀ x ∈ s, IsIntegral A (y • x) := by
haveI := Classical.decEq L refine s.induction ?_ ?_ · use 1, one_ne_zero rintro x ⟨⟩ · rintro x s hx ⟨y, hy, hs⟩ have := exists_integral_multiple ((IsFractionRing.isAlgebraic_iff A K L).mpr (.of_finite _ x)) ((injective_iff_map_eq_zero (algebraMap A L)).mp ?_) · rcases this with ⟨x', y', hy', hx'⟩ refine ⟨y * y', mul_ne_zero hy hy', fun x'' hx'' => ?_⟩ rcases Finset.mem_insert.mp hx'' with (rfl | hx'') · rw [mul_smul, Algebra.smul_def, Algebra.smul_def, mul_comm _ x'', hx'] exact isIntegral_algebraMap.mul x'.2 · rw [mul_comm, mul_smul, Algebra.smul_def] exact isIntegral_algebraMap.mul (hs _ hx'') · rw [IsScalarTower.algebraMap_eq A K L] apply (algebraMap K L).injective.comp exact IsFractionRing.injective _ _
18
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Inverse import Mathlib.Analysis.SpecialFunctions.Trigonometric.Deriv #align_import analysis.special_functions.trigonometric.inverse_deriv from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical Topology Filter open Set Filter open scoped Real namespace Real section Arcsin
Mathlib/Analysis/SpecialFunctions/Trigonometric/InverseDeriv.lean
30
49
theorem deriv_arcsin_aux {x : ℝ} (h₁ : x ≠ -1) (h₂ : x ≠ 1) : HasStrictDerivAt arcsin (1 / √(1 - x ^ 2)) x ∧ ContDiffAt ℝ ⊤ arcsin x := by
cases' h₁.lt_or_lt with h₁ h₁ · have : 1 - x ^ 2 < 0 := by nlinarith [h₁] rw [sqrt_eq_zero'.2 this.le, div_zero] have : arcsin =ᶠ[𝓝 x] fun _ => -(π / 2) := (gt_mem_nhds h₁).mono fun y hy => arcsin_of_le_neg_one hy.le exact ⟨(hasStrictDerivAt_const _ _).congr_of_eventuallyEq this.symm, contDiffAt_const.congr_of_eventuallyEq this⟩ cases' h₂.lt_or_lt with h₂ h₂ · have : 0 < √(1 - x ^ 2) := sqrt_pos.2 (by nlinarith [h₁, h₂]) simp only [← cos_arcsin, one_div] at this ⊢ exact ⟨sinPartialHomeomorph.hasStrictDerivAt_symm ⟨h₁, h₂⟩ this.ne' (hasStrictDerivAt_sin _), sinPartialHomeomorph.contDiffAt_symm_deriv this.ne' ⟨h₁, h₂⟩ (hasDerivAt_sin _) contDiff_sin.contDiffAt⟩ · have : 1 - x ^ 2 < 0 := by nlinarith [h₂] rw [sqrt_eq_zero'.2 this.le, div_zero] have : arcsin =ᶠ[𝓝 x] fun _ => π / 2 := (lt_mem_nhds h₂).mono fun y hy => arcsin_of_one_le hy.le exact ⟨(hasStrictDerivAt_const _ _).congr_of_eventuallyEq this.symm, contDiffAt_const.congr_of_eventuallyEq this⟩
18
import Mathlib.Algebra.Polynomial.BigOperators import Mathlib.Algebra.Polynomial.Derivative import Mathlib.Data.Nat.Choose.Cast import Mathlib.Data.Nat.Choose.Vandermonde import Mathlib.Tactic.FieldSimp #align_import data.polynomial.hasse_deriv from "leanprover-community/mathlib"@"a148d797a1094ab554ad4183a4ad6f130358ef64" noncomputable section namespace Polynomial open Nat Polynomial open Function variable {R : Type*} [Semiring R] (k : ℕ) (f : R[X]) def hasseDeriv (k : ℕ) : R[X] →ₗ[R] R[X] := lsum fun i => monomial (i - k) ∘ₗ DistribMulAction.toLinearMap R R (i.choose k) #align polynomial.hasse_deriv Polynomial.hasseDeriv theorem hasseDeriv_apply : hasseDeriv k f = f.sum fun i r => monomial (i - k) (↑(i.choose k) * r) := by dsimp [hasseDeriv] congr; ext; congr apply nsmul_eq_mul #align polynomial.hasse_deriv_apply Polynomial.hasseDeriv_apply theorem hasseDeriv_coeff (n : ℕ) : (hasseDeriv k f).coeff n = (n + k).choose k * f.coeff (n + k) := by rw [hasseDeriv_apply, coeff_sum, sum_def, Finset.sum_eq_single (n + k), coeff_monomial] · simp only [if_true, add_tsub_cancel_right, eq_self_iff_true] · intro i _hi hink rw [coeff_monomial] by_cases hik : i < k · simp only [Nat.choose_eq_zero_of_lt hik, ite_self, Nat.cast_zero, zero_mul] · push_neg at hik rw [if_neg] contrapose! hink exact (tsub_eq_iff_eq_add_of_le hik).mp hink · intro h simp only [not_mem_support_iff.mp h, monomial_zero_right, mul_zero, coeff_zero] #align polynomial.hasse_deriv_coeff Polynomial.hasseDeriv_coeff theorem hasseDeriv_zero' : hasseDeriv 0 f = f := by simp only [hasseDeriv_apply, tsub_zero, Nat.choose_zero_right, Nat.cast_one, one_mul, sum_monomial_eq] #align polynomial.hasse_deriv_zero' Polynomial.hasseDeriv_zero' @[simp] theorem hasseDeriv_zero : @hasseDeriv R _ 0 = LinearMap.id := LinearMap.ext <| hasseDeriv_zero' #align polynomial.hasse_deriv_zero Polynomial.hasseDeriv_zero theorem hasseDeriv_eq_zero_of_lt_natDegree (p : R[X]) (n : ℕ) (h : p.natDegree < n) : hasseDeriv n p = 0 := by rw [hasseDeriv_apply, sum_def] refine Finset.sum_eq_zero fun x hx => ?_ simp [Nat.choose_eq_zero_of_lt ((le_natDegree_of_mem_supp _ hx).trans_lt h)] #align polynomial.hasse_deriv_eq_zero_of_lt_nat_degree Polynomial.hasseDeriv_eq_zero_of_lt_natDegree theorem hasseDeriv_one' : hasseDeriv 1 f = derivative f := by simp only [hasseDeriv_apply, derivative_apply, ← C_mul_X_pow_eq_monomial, Nat.choose_one_right, (Nat.cast_commute _ _).eq] #align polynomial.hasse_deriv_one' Polynomial.hasseDeriv_one' @[simp] theorem hasseDeriv_one : @hasseDeriv R _ 1 = derivative := LinearMap.ext <| hasseDeriv_one' #align polynomial.hasse_deriv_one Polynomial.hasseDeriv_one @[simp] theorem hasseDeriv_monomial (n : ℕ) (r : R) : hasseDeriv k (monomial n r) = monomial (n - k) (↑(n.choose k) * r) := by ext i simp only [hasseDeriv_coeff, coeff_monomial] by_cases hnik : n = i + k · rw [if_pos hnik, if_pos, ← hnik] apply tsub_eq_of_eq_add_rev rwa [add_comm] · rw [if_neg hnik, mul_zero] by_cases hkn : k ≤ n · rw [← tsub_eq_iff_eq_add_of_le hkn] at hnik rw [if_neg hnik] · push_neg at hkn rw [Nat.choose_eq_zero_of_lt hkn, Nat.cast_zero, zero_mul, ite_self] #align polynomial.hasse_deriv_monomial Polynomial.hasseDeriv_monomial theorem hasseDeriv_C (r : R) (hk : 0 < k) : hasseDeriv k (C r) = 0 := by rw [← monomial_zero_left, hasseDeriv_monomial, Nat.choose_eq_zero_of_lt hk, Nat.cast_zero, zero_mul, monomial_zero_right] set_option linter.uppercaseLean3 false in #align polynomial.hasse_deriv_C Polynomial.hasseDeriv_C theorem hasseDeriv_apply_one (hk : 0 < k) : hasseDeriv k (1 : R[X]) = 0 := by rw [← C_1, hasseDeriv_C k _ hk] #align polynomial.hasse_deriv_apply_one Polynomial.hasseDeriv_apply_one theorem hasseDeriv_X (hk : 1 < k) : hasseDeriv k (X : R[X]) = 0 := by rw [← monomial_one_one_eq_X, hasseDeriv_monomial, Nat.choose_eq_zero_of_lt hk, Nat.cast_zero, zero_mul, monomial_zero_right] set_option linter.uppercaseLean3 false in #align polynomial.hasse_deriv_X Polynomial.hasseDeriv_X
Mathlib/Algebra/Polynomial/HasseDeriv.lean
143
161
theorem factorial_smul_hasseDeriv : ⇑(k ! • @hasseDeriv R _ k) = (@derivative R _)^[k] := by
induction' k with k ih · rw [hasseDeriv_zero, factorial_zero, iterate_zero, one_smul, LinearMap.id_coe] ext f n : 2 rw [iterate_succ_apply', ← ih] simp only [LinearMap.smul_apply, coeff_smul, LinearMap.map_smul_of_tower, coeff_derivative, hasseDeriv_coeff, ← @choose_symm_add _ k] simp only [nsmul_eq_mul, factorial_succ, mul_assoc, succ_eq_add_one, ← add_assoc, add_right_comm n 1 k, ← cast_succ] rw [← (cast_commute (n + 1) (f.coeff (n + k + 1))).eq] simp only [← mul_assoc] norm_cast congr 2 rw [mul_comm (k+1) _, mul_assoc, mul_assoc] congr 1 have : n + k + 1 = n + (k + 1) := by apply add_assoc rw [← choose_symm_of_eq_add this, choose_succ_right_eq, mul_comm] congr rw [add_assoc, add_tsub_cancel_left]
18
import Mathlib.Algebra.Polynomial.Expand import Mathlib.Algebra.Polynomial.Laurent import Mathlib.LinearAlgebra.Matrix.Charpoly.Basic import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.RingTheory.Polynomial.Nilpotent #align_import linear_algebra.matrix.charpoly.coeff from "leanprover-community/mathlib"@"9745b093210e9dac443af24da9dba0f9e2b6c912" noncomputable section -- porting note: whenever there was `∏ i : n, X - C (M i i)`, I replaced it with -- `∏ i : n, (X - C (M i i))`, since otherwise Lean would parse as `(∏ i : n, X) - C (M i i)` universe u v w z open Finset Matrix Polynomial variable {R : Type u} [CommRing R] variable {n G : Type v} [DecidableEq n] [Fintype n] variable {α β : Type v} [DecidableEq α] variable {M : Matrix n n R} namespace Matrix theorem charmatrix_apply_natDegree [Nontrivial R] (i j : n) : (charmatrix M i j).natDegree = ite (i = j) 1 0 := by by_cases h : i = j <;> simp [h, ← degree_eq_iff_natDegree_eq_of_pos (Nat.succ_pos 0)] #align charmatrix_apply_nat_degree Matrix.charmatrix_apply_natDegree theorem charmatrix_apply_natDegree_le (i j : n) : (charmatrix M i j).natDegree ≤ ite (i = j) 1 0 := by split_ifs with h <;> simp [h, natDegree_X_le] #align charmatrix_apply_nat_degree_le Matrix.charmatrix_apply_natDegree_le variable (M) theorem charpoly_sub_diagonal_degree_lt : (M.charpoly - ∏ i : n, (X - C (M i i))).degree < ↑(Fintype.card n - 1) := by rw [charpoly, det_apply', ← insert_erase (mem_univ (Equiv.refl n)), sum_insert (not_mem_erase (Equiv.refl n) univ), add_comm] simp only [charmatrix_apply_eq, one_mul, Equiv.Perm.sign_refl, id, Int.cast_one, Units.val_one, add_sub_cancel_right, Equiv.coe_refl] rw [← mem_degreeLT] apply Submodule.sum_mem (degreeLT R (Fintype.card n - 1)) intro c hc; rw [← C_eq_intCast, C_mul'] apply Submodule.smul_mem (degreeLT R (Fintype.card n - 1)) ↑↑(Equiv.Perm.sign c) rw [mem_degreeLT] apply lt_of_le_of_lt degree_le_natDegree _ rw [Nat.cast_lt] apply lt_of_le_of_lt _ (Equiv.Perm.fixed_point_card_lt_of_ne_one (ne_of_mem_erase hc)) apply le_trans (Polynomial.natDegree_prod_le univ fun i : n => charmatrix M (c i) i) _ rw [card_eq_sum_ones]; rw [sum_filter]; apply sum_le_sum intros apply charmatrix_apply_natDegree_le #align matrix.charpoly_sub_diagonal_degree_lt Matrix.charpoly_sub_diagonal_degree_lt theorem charpoly_coeff_eq_prod_coeff_of_le {k : ℕ} (h : Fintype.card n - 1 ≤ k) : M.charpoly.coeff k = (∏ i : n, (X - C (M i i))).coeff k := by apply eq_of_sub_eq_zero; rw [← coeff_sub] apply Polynomial.coeff_eq_zero_of_degree_lt apply lt_of_lt_of_le (charpoly_sub_diagonal_degree_lt M) ?_ rw [Nat.cast_le]; apply h #align matrix.charpoly_coeff_eq_prod_coeff_of_le Matrix.charpoly_coeff_eq_prod_coeff_of_le theorem det_of_card_zero (h : Fintype.card n = 0) (M : Matrix n n R) : M.det = 1 := by rw [Fintype.card_eq_zero_iff] at h suffices M = 1 by simp [this] ext i exact h.elim i #align matrix.det_of_card_zero Matrix.det_of_card_zero theorem charpoly_degree_eq_dim [Nontrivial R] (M : Matrix n n R) : M.charpoly.degree = Fintype.card n := by by_cases h : Fintype.card n = 0 · rw [h] unfold charpoly rw [det_of_card_zero] · simp · assumption rw [← sub_add_cancel M.charpoly (∏ i : n, (X - C (M i i)))] -- Porting note: added `↑` in front of `Fintype.card n` have h1 : (∏ i : n, (X - C (M i i))).degree = ↑(Fintype.card n) := by rw [degree_eq_iff_natDegree_eq_of_pos (Nat.pos_of_ne_zero h), natDegree_prod'] · simp_rw [natDegree_X_sub_C] rw [← Finset.card_univ, sum_const, smul_eq_mul, mul_one] simp_rw [(monic_X_sub_C _).leadingCoeff] simp rw [degree_add_eq_right_of_degree_lt] · exact h1 rw [h1] apply lt_trans (charpoly_sub_diagonal_degree_lt M) rw [Nat.cast_lt] rw [← Nat.pred_eq_sub_one] apply Nat.pred_lt apply h #align matrix.charpoly_degree_eq_dim Matrix.charpoly_degree_eq_dim @[simp] theorem charpoly_natDegree_eq_dim [Nontrivial R] (M : Matrix n n R) : M.charpoly.natDegree = Fintype.card n := natDegree_eq_of_degree_eq_some (charpoly_degree_eq_dim M) #align matrix.charpoly_nat_degree_eq_dim Matrix.charpoly_natDegree_eq_dim
Mathlib/LinearAlgebra/Matrix/Charpoly/Coeff.lean
127
145
theorem charpoly_monic (M : Matrix n n R) : M.charpoly.Monic := by
nontriviality R -- Porting note: was simply `nontriviality` by_cases h : Fintype.card n = 0 · rw [charpoly, det_of_card_zero h] apply monic_one have mon : (∏ i : n, (X - C (M i i))).Monic := by apply monic_prod_of_monic univ fun i : n => X - C (M i i) simp [monic_X_sub_C] rw [← sub_add_cancel (∏ i : n, (X - C (M i i))) M.charpoly] at mon rw [Monic] at * rwa [leadingCoeff_add_of_degree_lt] at mon rw [charpoly_degree_eq_dim] rw [← neg_sub] rw [degree_neg] apply lt_trans (charpoly_sub_diagonal_degree_lt M) rw [Nat.cast_lt] rw [← Nat.pred_eq_sub_one] apply Nat.pred_lt apply h
18
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Complex #align_import analysis.special_functions.trigonometric.arctan from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section namespace Real open Set Filter open scoped Topology Real theorem tan_add {x y : ℝ} (h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) ∨ (∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2) : tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := by simpa only [← Complex.ofReal_inj, Complex.ofReal_sub, Complex.ofReal_add, Complex.ofReal_div, Complex.ofReal_mul, Complex.ofReal_tan] using @Complex.tan_add (x : ℂ) (y : ℂ) (by convert h <;> norm_cast) #align real.tan_add Real.tan_add theorem tan_add' {x y : ℝ} (h : (∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) : tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := tan_add (Or.inl h) #align real.tan_add' Real.tan_add' theorem tan_two_mul {x : ℝ} : tan (2 * x) = 2 * tan x / (1 - tan x ^ 2) := by have := @Complex.tan_two_mul x norm_cast at * #align real.tan_two_mul Real.tan_two_mul theorem tan_int_mul_pi_div_two (n : ℤ) : tan (n * π / 2) = 0 := tan_eq_zero_iff.mpr (by use n) #align real.tan_int_mul_pi_div_two Real.tan_int_mul_pi_div_two theorem continuousOn_tan : ContinuousOn tan {x | cos x ≠ 0} := by suffices ContinuousOn (fun x => sin x / cos x) {x | cos x ≠ 0} by have h_eq : (fun x => sin x / cos x) = tan := by ext1 x; rw [tan_eq_sin_div_cos] rwa [h_eq] at this exact continuousOn_sin.div continuousOn_cos fun x => id #align real.continuous_on_tan Real.continuousOn_tan @[continuity] theorem continuous_tan : Continuous fun x : {x | cos x ≠ 0} => tan x := continuousOn_iff_continuous_restrict.1 continuousOn_tan #align real.continuous_tan Real.continuous_tan
Mathlib/Analysis/SpecialFunctions/Trigonometric/Arctan.lean
68
86
theorem continuousOn_tan_Ioo : ContinuousOn tan (Ioo (-(π / 2)) (π / 2)) := by
refine ContinuousOn.mono continuousOn_tan fun x => ?_ simp only [and_imp, mem_Ioo, mem_setOf_eq, Ne] rw [cos_eq_zero_iff] rintro hx_gt hx_lt ⟨r, hxr_eq⟩ rcases le_or_lt 0 r with h | h · rw [lt_iff_not_ge] at hx_lt refine hx_lt ?_ rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, mul_le_mul_right (half_pos pi_pos)] simp [h] · rw [lt_iff_not_ge] at hx_gt refine hx_gt ?_ rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, neg_mul_eq_neg_mul, mul_le_mul_right (half_pos pi_pos)] have hr_le : r ≤ -1 := by rwa [Int.lt_iff_add_one_le, ← le_neg_iff_add_nonpos_right] at h rw [← le_sub_iff_add_le, mul_comm, ← le_div_iff] · set_option tactic.skipAssignedInstances false in norm_num rw [← Int.cast_one, ← Int.cast_neg]; norm_cast · exact zero_lt_two
18
import Mathlib.Algebra.BigOperators.Associated import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Choose.Dvd import Mathlib.Data.Nat.Prime #align_import number_theory.primorial from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" open Finset open Nat open Nat def primorial (n : ℕ) : ℕ := ∏ p ∈ filter Nat.Prime (range (n + 1)), p #align primorial primorial local notation x "#" => primorial x theorem primorial_pos (n : ℕ) : 0 < n# := prod_pos fun _p hp ↦ (mem_filter.1 hp).2.pos #align primorial_pos primorial_pos theorem primorial_succ {n : ℕ} (hn1 : n ≠ 1) (hn : Odd n) : (n + 1)# = n# := by refine prod_congr ?_ fun _ _ ↦ rfl rw [range_succ, filter_insert, if_neg fun h ↦ odd_iff_not_even.mp hn _] exact fun h ↦ h.even_sub_one <| mt succ.inj hn1 #align primorial_succ primorial_succ theorem primorial_add (m n : ℕ) : (m + n)# = m# * ∏ p ∈ filter Nat.Prime (Ico (m + 1) (m + n + 1)), p := by rw [primorial, primorial, ← Ico_zero_eq_range, ← prod_union, ← filter_union, Ico_union_Ico_eq_Ico] exacts [Nat.zero_le _, add_le_add_right (Nat.le_add_right _ _) _, disjoint_filter_filter <| Ico_disjoint_Ico_consecutive _ _ _] #align primorial_add primorial_add theorem primorial_add_dvd {m n : ℕ} (h : n ≤ m) : (m + n)# ∣ m# * choose (m + n) m := calc (m + n)# = m# * ∏ p ∈ filter Nat.Prime (Ico (m + 1) (m + n + 1)), p := primorial_add _ _ _ ∣ m# * choose (m + n) m := mul_dvd_mul_left _ <| prod_primes_dvd _ (fun k hk ↦ (mem_filter.1 hk).2.prime) fun p hp ↦ by rw [mem_filter, mem_Ico] at hp exact hp.2.dvd_choose_add hp.1.1 (h.trans_lt (m.lt_succ_self.trans_le hp.1.1)) (Nat.lt_succ_iff.1 hp.1.2) #align primorial_add_dvd primorial_add_dvd theorem primorial_add_le {m n : ℕ} (h : n ≤ m) : (m + n)# ≤ m# * choose (m + n) m := le_of_dvd (mul_pos (primorial_pos _) (choose_pos <| Nat.le_add_right _ _)) (primorial_add_dvd h) #align primorial_add_le primorial_add_le
Mathlib/NumberTheory/Primorial.lean
73
91
theorem primorial_le_4_pow (n : ℕ) : n# ≤ 4 ^ n := by
induction' n using Nat.strong_induction_on with n ihn cases' n with n; · rfl rcases n.even_or_odd with (⟨m, rfl⟩ | ho) · rcases m.eq_zero_or_pos with (rfl | hm) · decide calc (m + m + 1)# = (m + 1 + m)# := by rw [add_right_comm] _ ≤ (m + 1)# * choose (m + 1 + m) (m + 1) := primorial_add_le m.le_succ _ = (m + 1)# * choose (2 * m + 1) m := by rw [choose_symm_add, two_mul, add_right_comm] _ ≤ 4 ^ (m + 1) * 4 ^ m := mul_le_mul' (ihn _ <| succ_lt_succ <| (lt_add_iff_pos_left _).2 hm) (choose_middle_le_pow _) _ ≤ 4 ^ (m + m + 1) := by rw [← pow_add, add_right_comm] · rcases Decidable.eq_or_ne n 1 with (rfl | hn) · decide · calc (n + 1)# = n# := primorial_succ hn ho _ ≤ 4 ^ n := ihn n n.lt_succ_self _ ≤ 4 ^ (n + 1) := pow_le_pow_of_le_right four_pos n.le_succ
18
import Mathlib.MeasureTheory.Measure.Doubling import Mathlib.MeasureTheory.Covering.Vitali import Mathlib.MeasureTheory.Covering.Differentiation #align_import measure_theory.covering.density_theorem from "leanprover-community/mathlib"@"5f6e827d81dfbeb6151d7016586ceeb0099b9655" noncomputable section open Set Filter Metric MeasureTheory TopologicalSpace open scoped NNReal Topology namespace IsUnifLocDoublingMeasure variable {α : Type*} [MetricSpace α] [MeasurableSpace α] (μ : Measure α) [IsUnifLocDoublingMeasure μ] section variable [SecondCountableTopology α] [BorelSpace α] [IsLocallyFiniteMeasure μ] open scoped Topology irreducible_def vitaliFamily (K : ℝ) : VitaliFamily μ := by let R := scalingScaleOf μ (max (4 * K + 3) 3) have Rpos : 0 < R := scalingScaleOf_pos _ _ have A : ∀ x : α, ∃ᶠ r in 𝓝[>] (0 : ℝ), μ (closedBall x (3 * r)) ≤ scalingConstantOf μ (max (4 * K + 3) 3) * μ (closedBall x r) := by intro x apply frequently_iff.2 fun {U} hU => ?_ obtain ⟨ε, εpos, hε⟩ := mem_nhdsWithin_Ioi_iff_exists_Ioc_subset.1 hU refine ⟨min ε R, hε ⟨lt_min εpos Rpos, min_le_left _ _⟩, ?_⟩ exact measure_mul_le_scalingConstantOf_mul μ ⟨zero_lt_three, le_max_right _ _⟩ (min_le_right _ _) exact (Vitali.vitaliFamily μ (scalingConstantOf μ (max (4 * K + 3) 3)) A).enlarge (R / 4) (by linarith) #align is_unif_loc_doubling_measure.vitali_family IsUnifLocDoublingMeasure.vitaliFamily theorem closedBall_mem_vitaliFamily_of_dist_le_mul {K : ℝ} {x y : α} {r : ℝ} (h : dist x y ≤ K * r) (rpos : 0 < r) : closedBall y r ∈ (vitaliFamily μ K).setsAt x := by let R := scalingScaleOf μ (max (4 * K + 3) 3) simp only [vitaliFamily, VitaliFamily.enlarge, Vitali.vitaliFamily, mem_union, mem_setOf_eq, isClosed_ball, true_and_iff, (nonempty_ball.2 rpos).mono ball_subset_interior_closedBall, measurableSet_closedBall] by_cases H : closedBall y r ⊆ closedBall x (R / 4) swap; · exact Or.inr H left rcases le_or_lt r R with (hr | hr) · refine ⟨(K + 1) * r, ?_⟩ constructor · apply closedBall_subset_closedBall' rw [dist_comm] linarith · have I1 : closedBall x (3 * ((K + 1) * r)) ⊆ closedBall y ((4 * K + 3) * r) := by apply closedBall_subset_closedBall' linarith have I2 : closedBall y ((4 * K + 3) * r) ⊆ closedBall y (max (4 * K + 3) 3 * r) := by apply closedBall_subset_closedBall exact mul_le_mul_of_nonneg_right (le_max_left _ _) rpos.le apply (measure_mono (I1.trans I2)).trans exact measure_mul_le_scalingConstantOf_mul _ ⟨zero_lt_three.trans_le (le_max_right _ _), le_rfl⟩ hr · refine ⟨R / 4, H, ?_⟩ have : closedBall x (3 * (R / 4)) ⊆ closedBall y r := by apply closedBall_subset_closedBall' have A : y ∈ closedBall y r := mem_closedBall_self rpos.le have B := mem_closedBall'.1 (H A) linarith apply (measure_mono this).trans _ refine le_mul_of_one_le_left (zero_le _) ?_ exact ENNReal.one_le_coe_iff.2 (le_max_right _ _) #align is_unif_loc_doubling_measure.closed_ball_mem_vitali_family_of_dist_le_mul IsUnifLocDoublingMeasure.closedBall_mem_vitaliFamily_of_dist_le_mul
Mathlib/MeasureTheory/Covering/DensityTheorem.lean
112
132
theorem tendsto_closedBall_filterAt {K : ℝ} {x : α} {ι : Type*} {l : Filter ι} (w : ι → α) (δ : ι → ℝ) (δlim : Tendsto δ l (𝓝[>] 0)) (xmem : ∀ᶠ j in l, x ∈ closedBall (w j) (K * δ j)) : Tendsto (fun j => closedBall (w j) (δ j)) l ((vitaliFamily μ K).filterAt x) := by
refine (vitaliFamily μ K).tendsto_filterAt_iff.mpr ⟨?_, fun ε hε => ?_⟩ · filter_upwards [xmem, δlim self_mem_nhdsWithin] with j hj h'j exact closedBall_mem_vitaliFamily_of_dist_le_mul μ hj h'j · rcases l.eq_or_neBot with rfl | h · simp have hK : 0 ≤ K := by rcases (xmem.and (δlim self_mem_nhdsWithin)).exists with ⟨j, hj, h'j⟩ have : 0 ≤ K * δ j := nonempty_closedBall.1 ⟨x, hj⟩ exact (mul_nonneg_iff_left_nonneg_of_pos (mem_Ioi.1 h'j)).1 this have δpos := eventually_mem_of_tendsto_nhdsWithin δlim replace δlim := tendsto_nhds_of_tendsto_nhdsWithin δlim replace hK : 0 < K + 1 := by linarith apply (((Metric.tendsto_nhds.mp δlim _ (div_pos hε hK)).and δpos).and xmem).mono rintro j ⟨⟨hjε, hj₀ : 0 < δ j⟩, hx⟩ y hy replace hjε : (K + 1) * δ j < ε := by simpa [abs_eq_self.mpr hj₀.le] using (lt_div_iff' hK).mp hjε simp only [mem_closedBall] at hx hy ⊢ linarith [dist_triangle_right y x (w j)]
18
import Mathlib.Algebra.Polynomial.Monic #align_import algebra.polynomial.big_operators from "leanprover-community/mathlib"@"47adfab39a11a072db552f47594bf8ed2cf8a722" open Finset open Multiset open Polynomial universe u w variable {R : Type u} {ι : Type w} namespace Polynomial variable (s : Finset ι) section Semiring variable {S : Type*} [Semiring S] set_option backward.isDefEq.lazyProjDelta false in -- See https://github.com/leanprover-community/mathlib4/issues/12535 theorem natDegree_list_sum_le (l : List S[X]) : natDegree l.sum ≤ (l.map natDegree).foldr max 0 := List.sum_le_foldr_max natDegree (by simp) natDegree_add_le _ #align polynomial.nat_degree_list_sum_le Polynomial.natDegree_list_sum_le theorem natDegree_multiset_sum_le (l : Multiset S[X]) : natDegree l.sum ≤ (l.map natDegree).foldr max max_left_comm 0 := Quotient.inductionOn l (by simpa using natDegree_list_sum_le) #align polynomial.nat_degree_multiset_sum_le Polynomial.natDegree_multiset_sum_le theorem natDegree_sum_le (f : ι → S[X]) : natDegree (∑ i ∈ s, f i) ≤ s.fold max 0 (natDegree ∘ f) := by simpa using natDegree_multiset_sum_le (s.val.map f) #align polynomial.nat_degree_sum_le Polynomial.natDegree_sum_le lemma natDegree_sum_le_of_forall_le {n : ℕ} (f : ι → S[X]) (h : ∀ i ∈ s, natDegree (f i) ≤ n) : natDegree (∑ i ∈ s, f i) ≤ n := le_trans (natDegree_sum_le s f) <| (Finset.fold_max_le n).mpr <| by simpa theorem degree_list_sum_le (l : List S[X]) : degree l.sum ≤ (l.map natDegree).maximum := by by_cases h : l.sum = 0 · simp [h] · rw [degree_eq_natDegree h] suffices (l.map natDegree).maximum = ((l.map natDegree).foldr max 0 : ℕ) by rw [this] simpa using natDegree_list_sum_le l rw [← List.foldr_max_of_ne_nil] · congr contrapose! h rw [List.map_eq_nil] at h simp [h] #align polynomial.degree_list_sum_le Polynomial.degree_list_sum_le theorem natDegree_list_prod_le (l : List S[X]) : natDegree l.prod ≤ (l.map natDegree).sum := by induction' l with hd tl IH · simp · simpa using natDegree_mul_le.trans (add_le_add_left IH _) #align polynomial.nat_degree_list_prod_le Polynomial.natDegree_list_prod_le theorem degree_list_prod_le (l : List S[X]) : degree l.prod ≤ (l.map degree).sum := by induction' l with hd tl IH · simp · simpa using (degree_mul_le _ _).trans (add_le_add_left IH _) #align polynomial.degree_list_prod_le Polynomial.degree_list_prod_le
Mathlib/Algebra/Polynomial/BigOperators.lean
92
111
theorem coeff_list_prod_of_natDegree_le (l : List S[X]) (n : ℕ) (hl : ∀ p ∈ l, natDegree p ≤ n) : coeff (List.prod l) (l.length * n) = (l.map fun p => coeff p n).prod := by
induction' l with hd tl IH · simp · have hl' : ∀ p ∈ tl, natDegree p ≤ n := fun p hp => hl p (List.mem_cons_of_mem _ hp) simp only [List.prod_cons, List.map, List.length] rw [add_mul, one_mul, add_comm, ← IH hl', mul_comm tl.length] have h : natDegree tl.prod ≤ n * tl.length := by refine (natDegree_list_prod_le _).trans ?_ rw [← tl.length_map natDegree, mul_comm] refine List.sum_le_card_nsmul _ _ ?_ simpa using hl' have hdn : natDegree hd ≤ n := hl _ (List.mem_cons_self _ _) rcases hdn.eq_or_lt with (rfl | hdn') · rcases h.eq_or_lt with h' | h' · rw [← h', coeff_mul_degree_add_degree, leadingCoeff, leadingCoeff] · rw [coeff_eq_zero_of_natDegree_lt, coeff_eq_zero_of_natDegree_lt h', mul_zero] exact natDegree_mul_le.trans_lt (add_lt_add_left h' _) · rw [coeff_eq_zero_of_natDegree_lt hdn', coeff_eq_zero_of_natDegree_lt, zero_mul] exact natDegree_mul_le.trans_lt (add_lt_add_of_lt_of_le hdn' h)
18
import Mathlib.Algebra.MonoidAlgebra.Division import Mathlib.Algebra.MvPolynomial.Basic #align_import data.mv_polynomial.division from "leanprover-community/mathlib"@"72c366d0475675f1309d3027d3d7d47ee4423951" variable {σ R : Type*} [CommSemiring R] namespace MvPolynomial
Mathlib/Algebra/MvPolynomial/Division.lean
221
240
theorem monomial_dvd_monomial {r s : R} {i j : σ →₀ ℕ} : monomial i r ∣ monomial j s ↔ (s = 0 ∨ i ≤ j) ∧ r ∣ s := by
constructor · rintro ⟨x, hx⟩ rw [MvPolynomial.ext_iff] at hx have hj := hx j have hi := hx i classical simp_rw [coeff_monomial, if_pos] at hj hi simp_rw [coeff_monomial_mul'] at hi hj split_ifs at hi hj with hi hi · exact ⟨Or.inr hi, _, hj⟩ · exact ⟨Or.inl hj, hj.symm ▸ dvd_zero _⟩ -- Porting note: two goals remain at this point in Lean 4 · simp_all only [or_true, dvd_mul_right, and_self] · simp_all only [ite_self, le_refl, ite_true, dvd_mul_right, or_false, and_self] · rintro ⟨h | hij, d, rfl⟩ · simp_rw [h, monomial_zero, dvd_zero] · refine ⟨monomial (j - i) d, ?_⟩ rw [monomial_mul, add_tsub_cancel_of_le hij]
18
import Mathlib.CategoryTheory.Sites.Coherent.Comparison import Mathlib.CategoryTheory.Sites.Coherent.ExtensiveSheaves import Mathlib.CategoryTheory.Sites.Coherent.ReflectsPrecoherent import Mathlib.CategoryTheory.Sites.Coherent.ReflectsPreregular import Mathlib.CategoryTheory.Sites.InducedTopology import Mathlib.CategoryTheory.Sites.Whiskering universe v₁ v₂ v₃ v₄ u₁ u₂ u₃ u₄ namespace CategoryTheory open Limits Functor regularTopology variable {C D : Type*} [Category C] [Category D] (F : C ⥤ D) namespace coherentTopology variable [F.PreservesFiniteEffectiveEpiFamilies] [F.ReflectsFiniteEffectiveEpiFamilies] [F.Full] [F.Faithful] [F.EffectivelyEnough] [Precoherent D] instance : F.IsCoverDense (coherentTopology _) := by refine F.isCoverDense_of_generate_singleton_functor_π_mem _ fun B ↦ ⟨_, F.effectiveEpiOver B, ?_⟩ apply Coverage.saturate.of refine ⟨Unit, inferInstance, fun _ => F.effectiveEpiOverObj B, fun _ => F.effectiveEpiOver B, ?_ , ?_⟩ · funext; ext -- Do we want `Presieve.ext`? refine ⟨fun ⟨⟩ ↦ ⟨()⟩, ?_⟩ rintro ⟨⟩ simp · rw [← effectiveEpi_iff_effectiveEpiFamily] infer_instance
Mathlib/CategoryTheory/Sites/Coherent/SheafComparison.lean
55
76
theorem exists_effectiveEpiFamily_iff_mem_induced (X : C) (S : Sieve X) : (∃ (α : Type) (_ : Finite α) (Y : α → C) (π : (a : α) → (Y a ⟶ X)), EffectiveEpiFamily Y π ∧ (∀ a : α, (S.arrows) (π a)) ) ↔ (S ∈ F.inducedTopologyOfIsCoverDense (coherentTopology _) X) := by
refine ⟨fun ⟨α, _, Y, π, ⟨H₁, H₂⟩⟩ ↦ ?_, fun hS ↦ ?_⟩ · apply (mem_sieves_iff_hasEffectiveEpiFamily (Sieve.functorPushforward _ S)).mpr refine ⟨α, inferInstance, fun i => F.obj (Y i), fun i => F.map (π i), ⟨?_, fun a => Sieve.image_mem_functorPushforward F S (H₂ a)⟩⟩ exact F.map_finite_effectiveEpiFamily _ _ · obtain ⟨α, _, Y, π, ⟨H₁, H₂⟩⟩ := (mem_sieves_iff_hasEffectiveEpiFamily _).mp hS refine ⟨α, inferInstance, ?_⟩ let Z : α → C := fun a ↦ (Functor.EffectivelyEnough.presentation (F := F) (Y a)).some.p let g₀ : (a : α) → F.obj (Z a) ⟶ Y a := fun a ↦ F.effectiveEpiOver (Y a) have : EffectiveEpiFamily _ (fun a ↦ g₀ a ≫ π a) := inferInstance refine ⟨Z , fun a ↦ F.preimage (g₀ a ≫ π a), ?_, fun a ↦ (?_ : S.arrows (F.preimage _))⟩ · refine F.finite_effectiveEpiFamily_of_map _ _ ?_ simpa using this · obtain ⟨W, g₁, g₂, h₁, h₂⟩ := H₂ a rw [h₂] convert S.downward_closed h₁ (F.preimage (g₀ a ≫ g₂)) exact F.map_injective (by simp)
18
import Mathlib.Algebra.Lie.Nilpotent import Mathlib.Algebra.Lie.Normalizer #align_import algebra.lie.engel from "leanprover-community/mathlib"@"210657c4ea4a4a7b234392f70a3a2a83346dfa90" universe u₁ u₂ u₃ u₄ variable {R : Type u₁} {L : Type u₂} {L₂ : Type u₃} {M : Type u₄} variable [CommRing R] [LieRing L] [LieAlgebra R L] [LieRing L₂] [LieAlgebra R L₂] variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M] namespace LieSubmodule open LieModule variable {I : LieIdeal R L} {x : L} (hxI : (R ∙ x) ⊔ I = ⊤) theorem exists_smul_add_of_span_sup_eq_top (y : L) : ∃ t : R, ∃ z ∈ I, y = t • x + z := by have hy : y ∈ (⊤ : Submodule R L) := Submodule.mem_top simp only [← hxI, Submodule.mem_sup, Submodule.mem_span_singleton] at hy obtain ⟨-, ⟨t, rfl⟩, z, hz, rfl⟩ := hy exact ⟨t, z, hz, rfl⟩ #align lie_submodule.exists_smul_add_of_span_sup_eq_top LieSubmodule.exists_smul_add_of_span_sup_eq_top theorem lie_top_eq_of_span_sup_eq_top (N : LieSubmodule R L M) : (↑⁅(⊤ : LieIdeal R L), N⁆ : Submodule R M) = (N : Submodule R M).map (toEnd R L M x) ⊔ (↑⁅I, N⁆ : Submodule R M) := by simp only [lieIdeal_oper_eq_linear_span', Submodule.sup_span, mem_top, exists_prop, true_and, Submodule.map_coe, toEnd_apply_apply] refine le_antisymm (Submodule.span_le.mpr ?_) (Submodule.span_mono fun z hz => ?_) · rintro z ⟨y, n, hn : n ∈ N, rfl⟩ obtain ⟨t, z, hz, rfl⟩ := exists_smul_add_of_span_sup_eq_top hxI y simp only [SetLike.mem_coe, Submodule.span_union, Submodule.mem_sup] exact ⟨t • ⁅x, n⁆, Submodule.subset_span ⟨t • n, N.smul_mem' t hn, lie_smul t x n⟩, ⁅z, n⁆, Submodule.subset_span ⟨z, hz, n, hn, rfl⟩, by simp⟩ · rcases hz with (⟨m, hm, rfl⟩ | ⟨y, -, m, hm, rfl⟩) exacts [⟨x, m, hm, rfl⟩, ⟨y, m, hm, rfl⟩] #align lie_submodule.lie_top_eq_of_span_sup_eq_top LieSubmodule.lie_top_eq_of_span_sup_eq_top
Mathlib/Algebra/Lie/Engel.lean
105
125
theorem lcs_le_lcs_of_is_nilpotent_span_sup_eq_top {n i j : ℕ} (hxn : toEnd R L M x ^ n = 0) (hIM : lowerCentralSeries R L M i ≤ I.lcs M j) : lowerCentralSeries R L M (i + n) ≤ I.lcs M (j + 1) := by
suffices ∀ l, ((⊤ : LieIdeal R L).lcs M (i + l) : Submodule R M) ≤ (I.lcs M j : Submodule R M).map (toEnd R L M x ^ l) ⊔ (I.lcs M (j + 1) : Submodule R M) by simpa only [bot_sup_eq, LieIdeal.incl_coe, Submodule.map_zero, hxn] using this n intro l induction' l with l ih · simp only [Nat.zero_eq, add_zero, LieIdeal.lcs_succ, pow_zero, LinearMap.one_eq_id, Submodule.map_id] exact le_sup_of_le_left hIM · simp only [LieIdeal.lcs_succ, i.add_succ l, lie_top_eq_of_span_sup_eq_top hxI, sup_le_iff] refine ⟨(Submodule.map_mono ih).trans ?_, le_sup_of_le_right ?_⟩ · rw [Submodule.map_sup, ← Submodule.map_comp, ← LinearMap.mul_eq_comp, ← pow_succ', ← I.lcs_succ] exact sup_le_sup_left coe_map_toEnd_le _ · refine le_trans (mono_lie_right _ _ I ?_) (mono_lie_right _ _ I hIM) exact antitone_lowerCentralSeries R L M le_self_add
18
import Mathlib.Topology.Instances.Real import Mathlib.Order.Filter.Archimedean #align_import analysis.subadditive from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open Set Filter Topology def Subadditive (u : ℕ → ℝ) : Prop := ∀ m n, u (m + n) ≤ u m + u n #align subadditive Subadditive namespace Subadditive variable {u : ℕ → ℝ} (h : Subadditive u) @[nolint unusedArguments] -- Porting note: was irreducible protected def lim (_h : Subadditive u) := sInf ((fun n : ℕ => u n / n) '' Ici 1) #align subadditive.lim Subadditive.lim theorem lim_le_div (hbdd : BddBelow (range fun n => u n / n)) {n : ℕ} (hn : n ≠ 0) : h.lim ≤ u n / n := by rw [Subadditive.lim] exact csInf_le (hbdd.mono <| image_subset_range _ _) ⟨n, hn.bot_lt, rfl⟩ #align subadditive.lim_le_div Subadditive.lim_le_div theorem apply_mul_add_le (k n r) : u (k * n + r) ≤ k * u n + u r := by induction k with | zero => simp only [Nat.zero_eq, Nat.cast_zero, zero_mul, zero_add]; rfl | succ k IH => calc u ((k + 1) * n + r) = u (n + (k * n + r)) := by congr 1; ring _ ≤ u n + u (k * n + r) := h _ _ _ ≤ u n + (k * u n + u r) := add_le_add_left IH _ _ = (k + 1 : ℕ) * u n + u r := by simp; ring #align subadditive.apply_mul_add_le Subadditive.apply_mul_add_le
Mathlib/Analysis/Subadditive.lean
62
81
theorem eventually_div_lt_of_div_lt {L : ℝ} {n : ℕ} (hn : n ≠ 0) (hL : u n / n < L) : ∀ᶠ p in atTop, u p / p < L := by
/- It suffices to prove the statement for each arithmetic progression `(n * · + r)`. -/ refine .atTop_of_arithmetic hn fun r _ => ?_ /- `(k * u n + u r) / (k * n + r)` tends to `u n / n < L`, hence `(k * u n + u r) / (k * n + r) < L` for sufficiently large `k`. -/ have A : Tendsto (fun x : ℝ => (u n + u r / x) / (n + r / x)) atTop (𝓝 ((u n + 0) / (n + 0))) := (tendsto_const_nhds.add <| tendsto_const_nhds.div_atTop tendsto_id).div (tendsto_const_nhds.add <| tendsto_const_nhds.div_atTop tendsto_id) <| by simpa have B : Tendsto (fun x => (x * u n + u r) / (x * n + r)) atTop (𝓝 (u n / n)) := by rw [add_zero, add_zero] at A refine A.congr' <| (eventually_ne_atTop 0).mono fun x hx => ?_ simp only [(· ∘ ·), add_div' _ _ _ hx, div_div_div_cancel_right _ hx, mul_comm] refine ((B.comp tendsto_natCast_atTop_atTop).eventually (gt_mem_nhds hL)).mono fun k hk => ?_ /- Finally, we use an upper estimate on `u (k * n + r)` to get an estimate on `u (k * n + r) / (k * n + r)`. -/ rw [mul_comm] refine lt_of_le_of_lt ?_ hk simp only [(· ∘ ·), ← Nat.cast_add, ← Nat.cast_mul] exact div_le_div_of_nonneg_right (h.apply_mul_add_le _ _ _) (Nat.cast_nonneg _)
18
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.Deriv.Slope import Mathlib.Analysis.NormedSpace.FiniteDimension import Mathlib.MeasureTheory.Constructions.BorelSpace.ContinuousLinearMap import Mathlib.MeasureTheory.Function.StronglyMeasurable.Basic #align_import analysis.calculus.fderiv_measurable from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" set_option linter.uppercaseLean3 false -- A B D noncomputable section open Set Metric Asymptotics Filter ContinuousLinearMap MeasureTheory TopologicalSpace open scoped Topology section fderiv variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {f : E → F} (K : Set (E →L[𝕜] F)) namespace FDerivMeasurableAux def A (f : E → F) (L : E →L[𝕜] F) (r ε : ℝ) : Set E := { x | ∃ r' ∈ Ioc (r / 2) r, ∀ y ∈ ball x r', ∀ z ∈ ball x r', ‖f z - f y - L (z - y)‖ < ε * r } #align fderiv_measurable_aux.A FDerivMeasurableAux.A def B (f : E → F) (K : Set (E →L[𝕜] F)) (r s ε : ℝ) : Set E := ⋃ L ∈ K, A f L r ε ∩ A f L s ε #align fderiv_measurable_aux.B FDerivMeasurableAux.B def D (f : E → F) (K : Set (E →L[𝕜] F)) : Set E := ⋂ e : ℕ, ⋃ n : ℕ, ⋂ (p ≥ n) (q ≥ n), B f K ((1 / 2) ^ p) ((1 / 2) ^ q) ((1 / 2) ^ e) #align fderiv_measurable_aux.D FDerivMeasurableAux.D theorem isOpen_A (L : E →L[𝕜] F) (r ε : ℝ) : IsOpen (A f L r ε) := by rw [Metric.isOpen_iff] rintro x ⟨r', r'_mem, hr'⟩ obtain ⟨s, s_gt, s_lt⟩ : ∃ s : ℝ, r / 2 < s ∧ s < r' := exists_between r'_mem.1 have : s ∈ Ioc (r / 2) r := ⟨s_gt, le_of_lt (s_lt.trans_le r'_mem.2)⟩ refine ⟨r' - s, by linarith, fun x' hx' => ⟨s, this, ?_⟩⟩ have B : ball x' s ⊆ ball x r' := ball_subset (le_of_lt hx') intro y hy z hz exact hr' y (B hy) z (B hz) #align fderiv_measurable_aux.is_open_A FDerivMeasurableAux.isOpen_A theorem isOpen_B {K : Set (E →L[𝕜] F)} {r s ε : ℝ} : IsOpen (B f K r s ε) := by simp [B, isOpen_biUnion, IsOpen.inter, isOpen_A] #align fderiv_measurable_aux.is_open_B FDerivMeasurableAux.isOpen_B theorem A_mono (L : E →L[𝕜] F) (r : ℝ) {ε δ : ℝ} (h : ε ≤ δ) : A f L r ε ⊆ A f L r δ := by rintro x ⟨r', r'r, hr'⟩ refine ⟨r', r'r, fun y hy z hz => (hr' y hy z hz).trans_le (mul_le_mul_of_nonneg_right h ?_)⟩ linarith [mem_ball.1 hy, r'r.2, @dist_nonneg _ _ y x] #align fderiv_measurable_aux.A_mono FDerivMeasurableAux.A_mono theorem le_of_mem_A {r ε : ℝ} {L : E →L[𝕜] F} {x : E} (hx : x ∈ A f L r ε) {y z : E} (hy : y ∈ closedBall x (r / 2)) (hz : z ∈ closedBall x (r / 2)) : ‖f z - f y - L (z - y)‖ ≤ ε * r := by rcases hx with ⟨r', r'mem, hr'⟩ apply le_of_lt exact hr' _ ((mem_closedBall.1 hy).trans_lt r'mem.1) _ ((mem_closedBall.1 hz).trans_lt r'mem.1) #align fderiv_measurable_aux.le_of_mem_A FDerivMeasurableAux.le_of_mem_A
Mathlib/Analysis/Calculus/FDeriv/Measurable.lean
162
181
theorem mem_A_of_differentiable {ε : ℝ} (hε : 0 < ε) {x : E} (hx : DifferentiableAt 𝕜 f x) : ∃ R > 0, ∀ r ∈ Ioo (0 : ℝ) R, x ∈ A f (fderiv 𝕜 f x) r ε := by
let δ := (ε / 2) / 2 obtain ⟨R, R_pos, hR⟩ : ∃ R > 0, ∀ y ∈ ball x R, ‖f y - f x - fderiv 𝕜 f x (y - x)‖ ≤ δ * ‖y - x‖ := eventually_nhds_iff_ball.1 <| hx.hasFDerivAt.isLittleO.bound <| by positivity refine ⟨R, R_pos, fun r hr => ?_⟩ have : r ∈ Ioc (r / 2) r := right_mem_Ioc.2 <| half_lt_self hr.1 refine ⟨r, this, fun y hy z hz => ?_⟩ calc ‖f z - f y - (fderiv 𝕜 f x) (z - y)‖ = ‖f z - f x - (fderiv 𝕜 f x) (z - x) - (f y - f x - (fderiv 𝕜 f x) (y - x))‖ := by simp only [map_sub]; abel_nf _ ≤ ‖f z - f x - (fderiv 𝕜 f x) (z - x)‖ + ‖f y - f x - (fderiv 𝕜 f x) (y - x)‖ := norm_sub_le _ _ _ ≤ δ * ‖z - x‖ + δ * ‖y - x‖ := add_le_add (hR _ (ball_subset_ball hr.2.le hz)) (hR _ (ball_subset_ball hr.2.le hy)) _ ≤ δ * r + δ * r := by rw [mem_ball_iff_norm] at hz hy; gcongr _ = (ε / 2) * r := by ring _ < ε * r := by gcongr; exacts [hr.1, half_lt_self hε]
18
import Mathlib.Algebra.BigOperators.NatAntidiagonal import Mathlib.Algebra.GeomSum import Mathlib.Data.Fintype.BigOperators import Mathlib.RingTheory.PowerSeries.Inverse import Mathlib.RingTheory.PowerSeries.WellKnown import Mathlib.Tactic.FieldSimp #align_import number_theory.bernoulli from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Nat Finset Finset.Nat PowerSeries variable (A : Type*) [CommRing A] [Algebra ℚ A] def bernoulli' : ℕ → ℚ := WellFounded.fix Nat.lt_wfRel.wf fun n bernoulli' => 1 - ∑ k : Fin n, n.choose k / (n - k + 1) * bernoulli' k k.2 #align bernoulli' bernoulli' theorem bernoulli'_def' (n : ℕ) : bernoulli' n = 1 - ∑ k : Fin n, n.choose k / (n - k + 1) * bernoulli' k := WellFounded.fix_eq _ _ _ #align bernoulli'_def' bernoulli'_def' theorem bernoulli'_def (n : ℕ) : bernoulli' n = 1 - ∑ k ∈ range n, n.choose k / (n - k + 1) * bernoulli' k := by rw [bernoulli'_def', ← Fin.sum_univ_eq_sum_range] #align bernoulli'_def bernoulli'_def theorem bernoulli'_spec (n : ℕ) : (∑ k ∈ range n.succ, (n.choose (n - k) : ℚ) / (n - k + 1) * bernoulli' k) = 1 := by rw [sum_range_succ_comm, bernoulli'_def n, tsub_self, choose_zero_right, sub_self, zero_add, div_one, cast_one, one_mul, sub_add, ← sum_sub_distrib, ← sub_eq_zero, sub_sub_cancel_left, neg_eq_zero] exact Finset.sum_eq_zero (fun x hx => by rw [choose_symm (le_of_lt (mem_range.1 hx)), sub_self]) #align bernoulli'_spec bernoulli'_spec theorem bernoulli'_spec' (n : ℕ) : (∑ k ∈ antidiagonal n, ((k.1 + k.2).choose k.2 : ℚ) / (k.2 + 1) * bernoulli' k.1) = 1 := by refine ((sum_antidiagonal_eq_sum_range_succ_mk _ n).trans ?_).trans (bernoulli'_spec n) refine sum_congr rfl fun x hx => ?_ simp only [add_tsub_cancel_of_le, mem_range_succ_iff.mp hx, cast_sub] #align bernoulli'_spec' bernoulli'_spec' @[simp] theorem sum_bernoulli' (n : ℕ) : (∑ k ∈ range n, (n.choose k : ℚ) * bernoulli' k) = n := by cases' n with n · simp suffices ((n + 1 : ℚ) * ∑ k ∈ range n, ↑(n.choose k) / (n - k + 1) * bernoulli' k) = ∑ x ∈ range n, ↑(n.succ.choose x) * bernoulli' x by rw_mod_cast [sum_range_succ, bernoulli'_def, ← this, choose_succ_self_right] ring simp_rw [mul_sum, ← mul_assoc] refine sum_congr rfl fun k hk => ?_ congr have : ((n - k : ℕ) : ℚ) + 1 ≠ 0 := by norm_cast field_simp [← cast_sub (mem_range.1 hk).le, mul_comm] rw_mod_cast [tsub_add_eq_add_tsub (mem_range.1 hk).le, choose_mul_succ_eq] #align sum_bernoulli' sum_bernoulli' def bernoulli'PowerSeries := mk fun n => algebraMap ℚ A (bernoulli' n / n !) #align bernoulli'_power_series bernoulli'PowerSeries
Mathlib/NumberTheory/Bernoulli.lean
158
177
theorem bernoulli'PowerSeries_mul_exp_sub_one : bernoulli'PowerSeries A * (exp A - 1) = X * exp A := by
ext n -- constant coefficient is a special case cases' n with n · simp rw [bernoulli'PowerSeries, coeff_mul, mul_comm X, sum_antidiagonal_succ'] suffices (∑ p ∈ antidiagonal n, bernoulli' p.1 / p.1! * ((p.2 + 1) * p.2! : ℚ)⁻¹) = (n ! : ℚ)⁻¹ by simpa [map_sum, Nat.factorial] using congr_arg (algebraMap ℚ A) this apply eq_inv_of_mul_eq_one_left rw [sum_mul] convert bernoulli'_spec' n using 1 apply sum_congr rfl simp_rw [mem_antidiagonal] rintro ⟨i, j⟩ rfl have := factorial_mul_factorial_dvd_factorial_add i j field_simp [mul_comm _ (bernoulli' i), mul_assoc, add_choose] norm_cast simp [mul_comm (j + 1)]
18
import Mathlib.RingTheory.Ideal.Cotangent import Mathlib.RingTheory.QuotientNilpotent import Mathlib.RingTheory.TensorProduct.Basic import Mathlib.RingTheory.FinitePresentation import Mathlib.RingTheory.Localization.Away.Basic import Mathlib.RingTheory.Localization.Away.AdjoinRoot #align_import ring_theory.etale from "leanprover-community/mathlib"@"73f96237417835f148a1f7bc1ff55f67119b7166" -- Porting note: added to make the syntax work below. open scoped TensorProduct universe u namespace Algebra section variable (R : Type u) [CommSemiring R] variable (A : Type u) [Semiring A] [Algebra R A] @[mk_iff] class FormallySmooth : Prop where comp_surjective : ∀ ⦃B : Type u⦄ [CommRing B], ∀ [Algebra R B] (I : Ideal B) (_ : I ^ 2 = ⊥), Function.Surjective ((Ideal.Quotient.mkₐ R I).comp : (A →ₐ[R] B) → A →ₐ[R] B ⧸ I) #align algebra.formally_smooth Algebra.FormallySmooth end namespace FormallySmooth section variable {R : Type u} [CommSemiring R] variable {A : Type u} [Semiring A] [Algebra R A] variable {B : Type u} [CommRing B] [Algebra R B] (I : Ideal B)
Mathlib/RingTheory/Smooth/Basic.lean
68
88
theorem exists_lift {B : Type u} [CommRing B] [_RB : Algebra R B] [FormallySmooth R A] (I : Ideal B) (hI : IsNilpotent I) (g : A →ₐ[R] B ⧸ I) : ∃ f : A →ₐ[R] B, (Ideal.Quotient.mkₐ R I).comp f = g := by
revert g change Function.Surjective (Ideal.Quotient.mkₐ R I).comp revert _RB apply Ideal.IsNilpotent.induction_on (R := B) I hI · intro B _ I hI _; exact FormallySmooth.comp_surjective I hI · intro B _ I J hIJ h₁ h₂ _ g let this : ((B ⧸ I) ⧸ J.map (Ideal.Quotient.mk I)) ≃ₐ[R] B ⧸ J := { (DoubleQuot.quotQuotEquivQuotSup I J).trans (Ideal.quotEquivOfEq (sup_eq_right.mpr hIJ)) with commutes' := fun x => rfl } obtain ⟨g', e⟩ := h₂ (this.symm.toAlgHom.comp g) obtain ⟨g', rfl⟩ := h₁ g' replace e := congr_arg this.toAlgHom.comp e conv_rhs at e => rw [← AlgHom.comp_assoc, AlgEquiv.toAlgHom_eq_coe, AlgEquiv.toAlgHom_eq_coe, AlgEquiv.comp_symm, AlgHom.id_comp] exact ⟨g', e⟩
18
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 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 #align pythagorean_triple.even_odd_of_coprime PythagoreanTriple.even_odd_of_coprime
Mathlib/NumberTheory/PythagoreanTriples.lean
164
182
theorem gcd_dvd : (Int.gcd x y : ℤ) ∣ z := by
by_cases h0 : Int.gcd x y = 0 · have hx : x = 0 := by apply Int.natAbs_eq_zero.mp apply Nat.eq_zero_of_gcd_eq_zero_left h0 have hy : y = 0 := by apply Int.natAbs_eq_zero.mp apply Nat.eq_zero_of_gcd_eq_zero_right h0 have hz : z = 0 := by simpa only [PythagoreanTriple, hx, hy, add_zero, zero_eq_mul, mul_zero, or_self_iff] using h simp only [hz, dvd_zero] obtain ⟨k, x0, y0, _, h2, rfl, rfl⟩ : ∃ (k : ℕ) (x0 y0 : _), 0 < k ∧ Int.gcd x0 y0 = 1 ∧ x = x0 * k ∧ y = y0 * k := Int.exists_gcd_one' (Nat.pos_of_ne_zero h0) rw [Int.gcd_mul_right, h2, Int.natAbs_ofNat, one_mul] rw [← Int.pow_dvd_pow_iff two_ne_zero, sq z, ← h.eq] rw [(by ring : x0 * k * (x0 * k) + y0 * k * (y0 * k) = (k : ℤ) ^ 2 * (x0 * x0 + y0 * y0))] exact dvd_mul_right _ _
18
import Mathlib.CategoryTheory.Closed.Cartesian import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts import Mathlib.CategoryTheory.Adjunction.FullyFaithful #align_import category_theory.closed.functor from "leanprover-community/mathlib"@"cea27692b3fdeb328a2ddba6aabf181754543184" noncomputable section namespace CategoryTheory open Category Limits CartesianClosed universe v u u' variable {C : Type u} [Category.{v} C] variable {D : Type u'} [Category.{v} D] variable [HasFiniteProducts C] [HasFiniteProducts D] variable (F : C ⥤ D) {L : D ⥤ C} def frobeniusMorphism (h : L ⊣ F) (A : C) : prod.functor.obj (F.obj A) ⋙ L ⟶ L ⋙ prod.functor.obj A := prodComparisonNatTrans L (F.obj A) ≫ whiskerLeft _ (prod.functor.map (h.counit.app _)) #align category_theory.frobenius_morphism CategoryTheory.frobeniusMorphism instance frobeniusMorphism_iso_of_preserves_binary_products (h : L ⊣ F) (A : C) [PreservesLimitsOfShape (Discrete WalkingPair) L] [F.Full] [F.Faithful] : IsIso (frobeniusMorphism F h A) := suffices ∀ (X : D), IsIso ((frobeniusMorphism F h A).app X) from NatIso.isIso_of_isIso_app _ fun B ↦ by dsimp [frobeniusMorphism]; infer_instance #align category_theory.frobenius_morphism_iso_of_preserves_binary_products CategoryTheory.frobeniusMorphism_iso_of_preserves_binary_products variable [CartesianClosed C] [CartesianClosed D] variable [PreservesLimitsOfShape (Discrete WalkingPair) F] def expComparison (A : C) : exp A ⋙ F ⟶ F ⋙ exp (F.obj A) := transferNatTrans (exp.adjunction A) (exp.adjunction (F.obj A)) (prodComparisonNatIso F A).inv #align category_theory.exp_comparison CategoryTheory.expComparison theorem expComparison_ev (A B : C) : Limits.prod.map (𝟙 (F.obj A)) ((expComparison F A).app B) ≫ (exp.ev (F.obj A)).app (F.obj B) = inv (prodComparison F _ _) ≫ F.map ((exp.ev _).app _) := by convert transferNatTrans_counit _ _ (prodComparisonNatIso F A).inv B using 2 apply IsIso.inv_eq_of_hom_inv_id -- Porting note: was `ext` simp only [Limits.prodComparisonNatIso_inv, asIso_inv, NatIso.isIso_inv_app, IsIso.hom_inv_id] #align category_theory.exp_comparison_ev CategoryTheory.expComparison_ev theorem coev_expComparison (A B : C) : F.map ((exp.coev A).app B) ≫ (expComparison F A).app (A ⨯ B) = (exp.coev _).app (F.obj B) ≫ (exp (F.obj A)).map (inv (prodComparison F A B)) := by convert unit_transferNatTrans _ _ (prodComparisonNatIso F A).inv B using 3 apply IsIso.inv_eq_of_hom_inv_id -- Porting note: was `ext` dsimp simp #align category_theory.coev_exp_comparison CategoryTheory.coev_expComparison theorem uncurry_expComparison (A B : C) : CartesianClosed.uncurry ((expComparison F A).app B) = inv (prodComparison F _ _) ≫ F.map ((exp.ev _).app _) := by rw [uncurry_eq, expComparison_ev] #align category_theory.uncurry_exp_comparison CategoryTheory.uncurry_expComparison theorem expComparison_whiskerLeft {A A' : C} (f : A' ⟶ A) : expComparison F A ≫ whiskerLeft _ (pre (F.map f)) = whiskerRight (pre f) _ ≫ expComparison F A' := by ext B dsimp apply uncurry_injective rw [uncurry_natural_left, uncurry_natural_left, uncurry_expComparison, uncurry_pre, prod.map_swap_assoc, ← F.map_id, expComparison_ev, ← F.map_id, ← prodComparison_inv_natural_assoc, ← prodComparison_inv_natural_assoc, ← F.map_comp, ← F.map_comp, prod_map_pre_app_comp_ev] #align category_theory.exp_comparison_whisker_left CategoryTheory.expComparison_whiskerLeft class CartesianClosedFunctor : Prop where comparison_iso : ∀ A, IsIso (expComparison F A) #align category_theory.cartesian_closed_functor CategoryTheory.CartesianClosedFunctor attribute [instance] CartesianClosedFunctor.comparison_iso
Mathlib/CategoryTheory/Closed/Functor.lean
128
149
theorem frobeniusMorphism_mate (h : L ⊣ F) (A : C) : transferNatTransSelf (h.comp (exp.adjunction A)) ((exp.adjunction (F.obj A)).comp h) (frobeniusMorphism F h A) = expComparison F A := by
rw [← Equiv.eq_symm_apply] ext B : 2 dsimp [frobeniusMorphism, transferNatTransSelf, transferNatTrans, Adjunction.comp] simp only [id_comp, comp_id] rw [← L.map_comp_assoc, prod.map_id_comp, assoc] -- Porting note: need to use `erw` here. -- https://github.com/leanprover-community/mathlib4/issues/5164 erw [expComparison_ev] rw [prod.map_id_comp, assoc, ← F.map_id, ← prodComparison_inv_natural_assoc, ← F.map_comp] -- Porting note: need to use `erw` here. -- https://github.com/leanprover-community/mathlib4/issues/5164 erw [exp.ev_coev] rw [F.map_id (A ⨯ L.obj B), comp_id] ext · rw [assoc, assoc, ← h.counit_naturality, ← L.map_comp_assoc, assoc, inv_prodComparison_map_fst] simp · rw [assoc, assoc, ← h.counit_naturality, ← L.map_comp_assoc, assoc, inv_prodComparison_map_snd] simp
18
import Mathlib.Analysis.Calculus.Deriv.Pow import Mathlib.Analysis.Calculus.Deriv.Inv #align_import analysis.calculus.deriv.zpow from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w open scoped Classical open Topology Filter open Filter Asymptotics Set variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {E : Type v} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {x : 𝕜} variable {s : Set 𝕜} variable {m : ℤ}
Mathlib/Analysis/Calculus/Deriv/ZPow.lean
39
58
theorem hasStrictDerivAt_zpow (m : ℤ) (x : 𝕜) (h : x ≠ 0 ∨ 0 ≤ m) : HasStrictDerivAt (fun x => x ^ m) ((m : 𝕜) * x ^ (m - 1)) x := by
have : ∀ m : ℤ, 0 < m → HasStrictDerivAt (· ^ m) ((m : 𝕜) * x ^ (m - 1)) x := fun m hm ↦ by lift m to ℕ using hm.le simp only [zpow_natCast, Int.cast_natCast] convert hasStrictDerivAt_pow m x using 2 rw [← Int.ofNat_one, ← Int.ofNat_sub, zpow_natCast] norm_cast at hm rcases lt_trichotomy m 0 with (hm | hm | hm) · have hx : x ≠ 0 := h.resolve_right hm.not_le have := (hasStrictDerivAt_inv ?_).scomp _ (this (-m) (neg_pos.2 hm)) <;> [skip; exact zpow_ne_zero _ hx] simp only [(· ∘ ·), zpow_neg, one_div, inv_inv, smul_eq_mul] at this convert this using 1 rw [sq, mul_inv, inv_inv, Int.cast_neg, neg_mul, neg_mul_neg, ← zpow_add₀ hx, mul_assoc, ← zpow_add₀ hx] congr abel · simp only [hm, zpow_zero, Int.cast_zero, zero_mul, hasStrictDerivAt_const] · exact this m hm
18
import Mathlib.Algebra.Category.ModuleCat.Monoidal.Basic import Mathlib.CategoryTheory.Monoidal.Functorial import Mathlib.CategoryTheory.Monoidal.Types.Basic import Mathlib.LinearAlgebra.DirectSum.Finsupp import Mathlib.CategoryTheory.Linear.LinearFunctor #align_import algebra.category.Module.adjunctions from "leanprover-community/mathlib"@"95a87616d63b3cb49d3fe678d416fbe9c4217bf4" set_option linter.uppercaseLean3 false -- `Module` noncomputable section open CategoryTheory namespace ModuleCat universe u open scoped Classical variable (R : Type u) section variable [Ring R] @[simps] def free : Type u ⥤ ModuleCat R where obj X := ModuleCat.of R (X →₀ R) map {X Y} f := Finsupp.lmapDomain _ _ f map_id := by intros; exact Finsupp.lmapDomain_id _ _ map_comp := by intros; exact Finsupp.lmapDomain_comp _ _ _ _ #align Module.free ModuleCat.free def adj : free R ⊣ forget (ModuleCat.{u} R) := Adjunction.mkOfHomEquiv { homEquiv := fun X M => (Finsupp.lift M R X).toEquiv.symm homEquiv_naturality_left_symm := fun {_ _} M f g => Finsupp.lhom_ext' fun x => LinearMap.ext_ring (Finsupp.sum_mapDomain_index_addMonoidHom fun y => (smulAddHom R M).flip (g y)).symm } #align Module.adj ModuleCat.adj instance : (forget (ModuleCat.{u} R)).IsRightAdjoint := (adj R).isRightAdjoint end namespace Free open MonoidalCategory variable [CommRing R] attribute [local ext] TensorProduct.ext def ε : 𝟙_ (ModuleCat.{u} R) ⟶ (free R).obj (𝟙_ (Type u)) := Finsupp.lsingle PUnit.unit #align Module.free.ε ModuleCat.Free.ε -- This lemma has always been bad, but lean4#2644 made `simp` start noticing @[simp, nolint simpNF] theorem ε_apply (r : R) : ε R r = Finsupp.single PUnit.unit r := rfl #align Module.free.ε_apply ModuleCat.Free.ε_apply def μ (α β : Type u) : (free R).obj α ⊗ (free R).obj β ≅ (free R).obj (α ⊗ β) := (finsuppTensorFinsupp' R α β).toModuleIso #align Module.free.μ ModuleCat.Free.μ
Mathlib/Algebra/Category/ModuleCat/Adjunctions.lean
89
109
theorem μ_natural {X Y X' Y' : Type u} (f : X ⟶ Y) (g : X' ⟶ Y') : ((free R).map f ⊗ (free R).map g) ≫ (μ R Y Y').hom = (μ R X X').hom ≫ (free R).map (f ⊗ g) := by
-- Porting note (#11041): broken ext apply TensorProduct.ext apply Finsupp.lhom_ext' intro x apply LinearMap.ext_ring apply Finsupp.lhom_ext' intro x' apply LinearMap.ext_ring apply Finsupp.ext intro ⟨y, y'⟩ -- Porting note (#10934): used to be dsimp [μ] change (finsuppTensorFinsupp' R Y Y') (Finsupp.mapDomain f (Finsupp.single x 1) ⊗ₜ[R] Finsupp.mapDomain g (Finsupp.single x' 1)) _ = (Finsupp.mapDomain (f ⊗ g) (finsuppTensorFinsupp' R X X' (Finsupp.single x 1 ⊗ₜ[R] Finsupp.single x' 1))) _ -- extra `rfl` after leanprover/lean4#2466 simp_rw [Finsupp.mapDomain_single, finsuppTensorFinsupp'_single_tmul_single, mul_one, Finsupp.mapDomain_single, CategoryTheory.tensor_apply]; rfl
18
import Mathlib.Tactic.TFAE import Mathlib.Topology.ContinuousOn #align_import topology.inseparable from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" open Set Filter Function Topology List variable {X Y Z α ι : Type*} {π : ι → Type*} [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] [∀ i, TopologicalSpace (π i)] {x y z : X} {s : Set X} {f g : X → Y}
Mathlib/Topology/Inseparable.lean
50
75
theorem specializes_TFAE (x y : X) : TFAE [x ⤳ y, pure x ≤ 𝓝 y, ∀ s : Set X , IsOpen s → y ∈ s → x ∈ s, ∀ s : Set X , IsClosed s → x ∈ s → y ∈ s, y ∈ closure ({ x } : Set X), closure ({ y } : Set X) ⊆ closure { x }, ClusterPt y (pure x)] := by
tfae_have 1 → 2 · exact (pure_le_nhds _).trans tfae_have 2 → 3 · exact fun h s hso hy => h (hso.mem_nhds hy) tfae_have 3 → 4 · exact fun h s hsc hx => of_not_not fun hy => h sᶜ hsc.isOpen_compl hy hx tfae_have 4 → 5 · exact fun h => h _ isClosed_closure (subset_closure <| mem_singleton _) tfae_have 6 ↔ 5 · exact isClosed_closure.closure_subset_iff.trans singleton_subset_iff tfae_have 5 ↔ 7 · rw [mem_closure_iff_clusterPt, principal_singleton] tfae_have 5 → 1 · refine fun h => (nhds_basis_opens _).ge_iff.2 ?_ rintro s ⟨hy, ho⟩ rcases mem_closure_iff.1 h s ho hy with ⟨z, hxs, rfl : z = x⟩ exact ho.mem_nhds hxs tfae_finish
18
import Mathlib.Data.Num.Lemmas import Mathlib.Data.Nat.Prime import Mathlib.Tactic.Ring #align_import data.num.prime from "leanprover-community/mathlib"@"58581d0fe523063f5651df0619be2bf65012a94a" namespace PosNum def minFacAux (n : PosNum) : ℕ → PosNum → PosNum | 0, _ => n | fuel + 1, k => if n < k.bit1 * k.bit1 then n else if k.bit1 ∣ n then k.bit1 else minFacAux n fuel k.succ #align pos_num.min_fac_aux PosNum.minFacAux set_option linter.deprecated false in theorem minFacAux_to_nat {fuel : ℕ} {n k : PosNum} (h : Nat.sqrt n < fuel + k.bit1) : (minFacAux n fuel k : ℕ) = Nat.minFacAux n k.bit1 := by induction' fuel with fuel ih generalizing k <;> rw [minFacAux, Nat.minFacAux] · rw [Nat.zero_add, Nat.sqrt_lt] at h simp only [h, ite_true] simp_rw [← mul_to_nat] simp only [cast_lt, dvd_to_nat] split_ifs <;> try rfl rw [ih] <;> [congr; convert Nat.lt_succ_of_lt h using 1] <;> simp only [_root_.bit1, _root_.bit0, cast_bit1, cast_succ, Nat.succ_eq_add_one, add_assoc, add_left_comm, ← one_add_one_eq_two] #align pos_num.min_fac_aux_to_nat PosNum.minFacAux_to_nat def minFac : PosNum → PosNum | 1 => 1 | bit0 _ => 2 | bit1 n => minFacAux (bit1 n) n 1 #align pos_num.min_fac PosNum.minFac @[simp]
Mathlib/Data/Num/Prime.lean
65
83
theorem minFac_to_nat (n : PosNum) : (minFac n : ℕ) = Nat.minFac n := by
cases' n with n · rfl · rw [minFac, Nat.minFac_eq, if_neg] swap · simp rw [minFacAux_to_nat] · rfl simp only [cast_one, cast_bit1] unfold _root_.bit1 _root_.bit0 rw [Nat.sqrt_lt] calc (n : ℕ) + (n : ℕ) + 1 ≤ (n : ℕ) + (n : ℕ) + (n : ℕ) := by simp _ = (n : ℕ) * (1 + 1 + 1) := by simp only [mul_add, mul_one] _ < _ := by set_option simprocs false in simp [mul_lt_mul] · rw [minFac, Nat.minFac_eq, if_pos] · rfl simp
18
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 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 #align bernstein.probability bernstein.probability
Mathlib/Analysis/SpecialFunctions/Bernstein.lean
117
136
theorem variance {n : ℕ} (h : 0 < (n : ℝ)) (x : I) : (∑ k : Fin (n + 1), (x - k/ₙ : ℝ) ^ 2 * bernstein n k x) = (x : ℝ) * (1 - x) / n := by
have h' : (n : ℝ) ≠ 0 := ne_of_gt h apply_fun fun x : ℝ => x * n using GroupWithZero.mul_right_injective h' apply_fun fun x : ℝ => x * n using GroupWithZero.mul_right_injective h' dsimp conv_lhs => simp only [Finset.sum_mul, z] conv_rhs => rw [div_mul_cancel₀ _ h'] have := bernsteinPolynomial.variance ℝ n apply_fun fun p => Polynomial.aeval (x : ℝ) p at this simp? [AlgHom.map_sum, Finset.sum_range, ← Polynomial.natCast_mul] at this says simp only [nsmul_eq_mul, Finset.sum_range, map_sum, map_mul, map_pow, map_sub, map_natCast, Polynomial.aeval_X, Polynomial.coe_aeval_eq_eval, map_one] at this convert this using 1 · congr 1; funext k rw [mul_comm _ (n : ℝ), mul_comm _ (n : ℝ), ← mul_assoc, ← mul_assoc] congr 1 field_simp [h] ring · ring
18
import Mathlib.ModelTheory.Substructures #align_import model_theory.finitely_generated from "leanprover-community/mathlib"@"0602c59878ff3d5f71dea69c2d32ccf2e93e5398" open FirstOrder Set namespace FirstOrder namespace Language open Structure variable {L : Language} {M : Type*} [L.Structure M] namespace Substructure def FG (N : L.Substructure M) : Prop := ∃ S : Finset M, closure L S = N #align first_order.language.substructure.fg FirstOrder.Language.Substructure.FG theorem fg_def {N : L.Substructure M} : N.FG ↔ ∃ S : Set M, S.Finite ∧ closure L S = N := ⟨fun ⟨t, h⟩ => ⟨_, Finset.finite_toSet t, h⟩, by rintro ⟨t', h, rfl⟩ rcases Finite.exists_finset_coe h with ⟨t, rfl⟩ exact ⟨t, rfl⟩⟩ #align first_order.language.substructure.fg_def FirstOrder.Language.Substructure.fg_def theorem fg_iff_exists_fin_generating_family {N : L.Substructure M} : N.FG ↔ ∃ (n : ℕ) (s : Fin n → M), closure L (range s) = N := by rw [fg_def] constructor · rintro ⟨S, Sfin, hS⟩ obtain ⟨n, f, rfl⟩ := Sfin.fin_embedding exact ⟨n, f, hS⟩ · rintro ⟨n, s, hs⟩ exact ⟨range s, finite_range s, hs⟩ #align first_order.language.substructure.fg_iff_exists_fin_generating_family FirstOrder.Language.Substructure.fg_iff_exists_fin_generating_family theorem fg_bot : (⊥ : L.Substructure M).FG := ⟨∅, by rw [Finset.coe_empty, closure_empty]⟩ #align first_order.language.substructure.fg_bot FirstOrder.Language.Substructure.fg_bot theorem fg_closure {s : Set M} (hs : s.Finite) : FG (closure L s) := ⟨hs.toFinset, by rw [hs.coe_toFinset]⟩ #align first_order.language.substructure.fg_closure FirstOrder.Language.Substructure.fg_closure theorem fg_closure_singleton (x : M) : FG (closure L ({x} : Set M)) := fg_closure (finite_singleton x) #align first_order.language.substructure.fg_closure_singleton FirstOrder.Language.Substructure.fg_closure_singleton theorem FG.sup {N₁ N₂ : L.Substructure M} (hN₁ : N₁.FG) (hN₂ : N₂.FG) : (N₁ ⊔ N₂).FG := let ⟨t₁, ht₁⟩ := fg_def.1 hN₁ let ⟨t₂, ht₂⟩ := fg_def.1 hN₂ fg_def.2 ⟨t₁ ∪ t₂, ht₁.1.union ht₂.1, by rw [closure_union, ht₁.2, ht₂.2]⟩ #align first_order.language.substructure.fg.sup FirstOrder.Language.Substructure.FG.sup theorem FG.map {N : Type*} [L.Structure N] (f : M →[L] N) {s : L.Substructure M} (hs : s.FG) : (s.map f).FG := let ⟨t, ht⟩ := fg_def.1 hs fg_def.2 ⟨f '' t, ht.1.image _, by rw [closure_image, ht.2]⟩ #align first_order.language.substructure.fg.map FirstOrder.Language.Substructure.FG.map theorem FG.of_map_embedding {N : Type*} [L.Structure N] (f : M ↪[L] N) {s : L.Substructure M} (hs : (s.map f.toHom).FG) : s.FG := by rcases hs with ⟨t, h⟩ rw [fg_def] refine ⟨f ⁻¹' t, t.finite_toSet.preimage f.injective.injOn, ?_⟩ have hf : Function.Injective f.toHom := f.injective refine map_injective_of_injective hf ?_ rw [← h, map_closure, Embedding.coe_toHom, image_preimage_eq_of_subset] intro x hx have h' := subset_closure (L := L) hx rw [h] at h' exact Hom.map_le_range h' #align first_order.language.substructure.fg.of_map_embedding FirstOrder.Language.Substructure.FG.of_map_embedding def CG (N : L.Substructure M) : Prop := ∃ S : Set M, S.Countable ∧ closure L S = N #align first_order.language.substructure.cg FirstOrder.Language.Substructure.CG theorem cg_def {N : L.Substructure M} : N.CG ↔ ∃ S : Set M, S.Countable ∧ closure L S = N := Iff.refl _ #align first_order.language.substructure.cg_def FirstOrder.Language.Substructure.cg_def theorem FG.cg {N : L.Substructure M} (h : N.FG) : N.CG := by obtain ⟨s, hf, rfl⟩ := fg_def.1 h exact ⟨s, hf.countable, rfl⟩ #align first_order.language.substructure.fg.cg FirstOrder.Language.Substructure.FG.cg
Mathlib/ModelTheory/FinitelyGenerated.lean
116
135
theorem cg_iff_empty_or_exists_nat_generating_family {N : L.Substructure M} : N.CG ↔ N = (∅ : Set M) ∨ ∃ s : ℕ → M, closure L (range s) = N := by
rw [cg_def] constructor · rintro ⟨S, Scount, hS⟩ rcases eq_empty_or_nonempty (N : Set M) with h | h · exact Or.intro_left _ h obtain ⟨f, h'⟩ := (Scount.union (Set.countable_singleton h.some)).exists_eq_range (singleton_nonempty h.some).inr refine Or.intro_right _ ⟨f, ?_⟩ rw [← h', closure_union, hS, sup_eq_left, closure_le] exact singleton_subset_iff.2 h.some_mem · intro h cases' h with h h · refine ⟨∅, countable_empty, closure_eq_of_le (empty_subset _) ?_⟩ rw [← SetLike.coe_subset_coe, h] exact empty_subset _ · obtain ⟨f, rfl⟩ := h exact ⟨range f, countable_range _, rfl⟩
18
import Mathlib.Analysis.SpecialFunctions.ImproperIntegrals import Mathlib.Analysis.Calculus.ParametricIntegral import Mathlib.MeasureTheory.Measure.Haar.NormedSpace #align_import analysis.mellin_transform from "leanprover-community/mathlib"@"917c3c072e487b3cccdbfeff17e75b40e45f66cb" open MeasureTheory Set Filter Asymptotics TopologicalSpace open Real open Complex hiding exp log abs_of_nonneg open scoped Topology noncomputable section variable {E : Type*} [NormedAddCommGroup E] section MellinConvergent theorem mellin_convergent_iff_norm [NormedSpace ℂ E] {f : ℝ → E} {T : Set ℝ} (hT : T ⊆ Ioi 0) (hT' : MeasurableSet T) (hfc : AEStronglyMeasurable f <| volume.restrict <| Ioi 0) {s : ℂ} : IntegrableOn (fun t : ℝ => (t : ℂ) ^ (s - 1) • f t) T ↔ IntegrableOn (fun t : ℝ => t ^ (s.re - 1) * ‖f t‖) T := by have : AEStronglyMeasurable (fun t : ℝ => (t : ℂ) ^ (s - 1) • f t) (volume.restrict T) := by refine ((ContinuousAt.continuousOn ?_).aestronglyMeasurable hT').smul (hfc.mono_set hT) exact fun t ht => continuousAt_ofReal_cpow_const _ _ (Or.inr <| ne_of_gt (hT ht)) rw [IntegrableOn, ← integrable_norm_iff this, ← IntegrableOn] refine integrableOn_congr_fun (fun t ht => ?_) hT' simp_rw [norm_smul, Complex.norm_eq_abs, abs_cpow_eq_rpow_re_of_pos (hT ht), sub_re, one_re] #align mellin_convergent_iff_norm mellin_convergent_iff_norm
Mathlib/Analysis/MellinTransform.lean
210
231
theorem mellin_convergent_top_of_isBigO {f : ℝ → ℝ} (hfc : AEStronglyMeasurable f <| volume.restrict (Ioi 0)) {a s : ℝ} (hf : f =O[atTop] (· ^ (-a))) (hs : s < a) : ∃ c : ℝ, 0 < c ∧ IntegrableOn (fun t : ℝ => t ^ (s - 1) * f t) (Ioi c) := by
obtain ⟨d, hd'⟩ := hf.isBigOWith simp_rw [IsBigOWith, eventually_atTop] at hd' obtain ⟨e, he⟩ := hd' have he' : 0 < max e 1 := zero_lt_one.trans_le (le_max_right _ _) refine ⟨max e 1, he', ?_, ?_⟩ · refine AEStronglyMeasurable.mul ?_ (hfc.mono_set (Ioi_subset_Ioi he'.le)) refine (ContinuousAt.continuousOn fun t ht => ?_).aestronglyMeasurable measurableSet_Ioi exact continuousAt_rpow_const _ _ (Or.inl <| (he'.trans ht).ne') · have : ∀ᵐ t : ℝ ∂volume.restrict (Ioi <| max e 1), ‖t ^ (s - 1) * f t‖ ≤ t ^ (s - 1 + -a) * d := by refine (ae_restrict_mem measurableSet_Ioi).mono fun t ht => ?_ have ht' : 0 < t := he'.trans ht rw [norm_mul, rpow_add ht', ← norm_of_nonneg (rpow_nonneg ht'.le (-a)), mul_assoc, mul_comm _ d, norm_of_nonneg (rpow_nonneg ht'.le _)] gcongr exact he t ((le_max_left e 1).trans_lt ht).le refine (HasFiniteIntegral.mul_const ?_ _).mono' this exact (integrableOn_Ioi_rpow_of_lt (by linarith) he').hasFiniteIntegral
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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'
18
import Mathlib.Data.PFunctor.Univariate.M #align_import data.qpf.univariate.basic from "leanprover-community/mathlib"@"14b69e9f3c16630440a2cbd46f1ddad0d561dee7" universe u class QPF (F : Type u → Type u) [Functor F] where P : PFunctor.{u} abs : ∀ {α}, P α → F α repr : ∀ {α}, F α → P α abs_repr : ∀ {α} (x : F α), abs (repr x) = x abs_map : ∀ {α β} (f : α → β) (p : P α), abs (P.map f p) = f <$> abs p #align qpf QPF namespace QPF variable {F : Type u → Type u} [Functor F] [q : QPF F] open Functor (Liftp Liftr) theorem id_map {α : Type _} (x : F α) : id <$> x = x := by rw [← abs_repr x] cases' repr x with a f rw [← abs_map] rfl #align qpf.id_map QPF.id_map theorem comp_map {α β γ : Type _} (f : α → β) (g : β → γ) (x : F α) : (g ∘ f) <$> x = g <$> f <$> x := by rw [← abs_repr x] cases' repr x with a f rw [← abs_map, ← abs_map, ← abs_map] rfl #align qpf.comp_map QPF.comp_map theorem lawfulFunctor (h : ∀ α β : Type u, @Functor.mapConst F _ α _ = Functor.map ∘ Function.const β) : LawfulFunctor F := { map_const := @h id_map := @id_map F _ _ comp_map := @comp_map F _ _ } #align qpf.is_lawful_functor QPF.lawfulFunctor section open Functor theorem liftp_iff {α : Type u} (p : α → Prop) (x : F α) : Liftp p x ↔ ∃ a f, x = abs ⟨a, f⟩ ∧ ∀ i, p (f i) := by constructor · rintro ⟨y, hy⟩ cases' h : repr y with a f use a, fun i => (f i).val constructor · rw [← hy, ← abs_repr y, h, ← abs_map] rfl intro i apply (f i).property rintro ⟨a, f, h₀, h₁⟩ use abs ⟨a, fun i => ⟨f i, h₁ i⟩⟩ rw [← abs_map, h₀]; rfl #align qpf.liftp_iff QPF.liftp_iff theorem liftp_iff' {α : Type u} (p : α → Prop) (x : F α) : Liftp p x ↔ ∃ u : q.P α, abs u = x ∧ ∀ i, p (u.snd i) := by constructor · rintro ⟨y, hy⟩ cases' h : repr y with a f use ⟨a, fun i => (f i).val⟩ dsimp constructor · rw [← hy, ← abs_repr y, h, ← abs_map] rfl intro i apply (f i).property rintro ⟨⟨a, f⟩, h₀, h₁⟩; dsimp at * use abs ⟨a, fun i => ⟨f i, h₁ i⟩⟩ rw [← abs_map, ← h₀]; rfl #align qpf.liftp_iff' QPF.liftp_iff'
Mathlib/Data/QPF/Univariate/Basic.lean
134
153
theorem liftr_iff {α : Type u} (r : α → α → Prop) (x y : F α) : Liftr r x y ↔ ∃ a f₀ f₁, x = abs ⟨a, f₀⟩ ∧ y = abs ⟨a, f₁⟩ ∧ ∀ i, r (f₀ i) (f₁ i) := by
constructor · rintro ⟨u, xeq, yeq⟩ cases' h : repr u with a f use a, fun i => (f i).val.fst, fun i => (f i).val.snd constructor · rw [← xeq, ← abs_repr u, h, ← abs_map] rfl constructor · rw [← yeq, ← abs_repr u, h, ← abs_map] rfl intro i exact (f i).property rintro ⟨a, f₀, f₁, xeq, yeq, h⟩ use abs ⟨a, fun i => ⟨(f₀ i, f₁ i), h i⟩⟩ constructor · rw [xeq, ← abs_map] rfl rw [yeq, ← abs_map]; rfl
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import Mathlib.Data.DFinsupp.Lex import Mathlib.Order.GameAdd import Mathlib.Order.Antisymmetrization import Mathlib.SetTheory.Ordinal.Basic import Mathlib.Tactic.AdaptationNote #align_import data.dfinsupp.well_founded from "leanprover-community/mathlib"@"e9b8651eb1ad354f4de6be35a38ef31efcd2cfaa" variable {ι : Type*} {α : ι → Type*} namespace DFinsupp open Relation Prod section Zero variable [∀ i, Zero (α i)] (r : ι → ι → Prop) (s : ∀ i, α i → α i → Prop) theorem lex_fibration [∀ (i) (s : Set ι), Decidable (i ∈ s)] : Fibration (InvImage (GameAdd (DFinsupp.Lex r s) (DFinsupp.Lex r s)) snd) (DFinsupp.Lex r s) fun x => piecewise x.2.1 x.2.2 x.1 := by rintro ⟨p, x₁, x₂⟩ x ⟨i, hr, hs⟩ simp_rw [piecewise_apply] at hs hr split_ifs at hs with hp · refine ⟨⟨{ j | r j i → j ∈ p }, piecewise x₁ x { j | r j i }, x₂⟩, .fst ⟨i, fun j hj ↦ ?_, ?_⟩, ?_⟩ <;> simp only [piecewise_apply, Set.mem_setOf_eq] · simp only [if_pos hj] · split_ifs with hi · rwa [hr i hi, if_pos hp] at hs · assumption · ext1 j simp only [piecewise_apply, Set.mem_setOf_eq] split_ifs with h₁ h₂ <;> try rfl · rw [hr j h₂, if_pos (h₁ h₂)] · rw [Classical.not_imp] at h₁ rw [hr j h₁.1, if_neg h₁.2] · refine ⟨⟨{ j | r j i ∧ j ∈ p }, x₁, piecewise x₂ x { j | r j i }⟩, .snd ⟨i, fun j hj ↦ ?_, ?_⟩, ?_⟩ <;> simp only [piecewise_apply, Set.mem_setOf_eq] · exact if_pos hj · split_ifs with hi · rwa [hr i hi, if_neg hp] at hs · assumption · ext1 j simp only [piecewise_apply, Set.mem_setOf_eq] split_ifs with h₁ h₂ <;> try rfl · rw [hr j h₁.1, if_pos h₁.2] · rw [hr j h₂, if_neg] simpa [h₂] using h₁ #align dfinsupp.lex_fibration DFinsupp.lex_fibration variable {r s} theorem Lex.acc_of_single_erase [DecidableEq ι] {x : Π₀ i, α i} (i : ι) (hs : Acc (DFinsupp.Lex r s) <| single i (x i)) (hu : Acc (DFinsupp.Lex r s) <| x.erase i) : Acc (DFinsupp.Lex r s) x := by classical convert ← @Acc.of_fibration _ _ _ _ _ (lex_fibration r s) ⟨{i}, _⟩ (InvImage.accessible snd <| hs.prod_gameAdd hu) convert piecewise_single_erase x i #align dfinsupp.lex.acc_of_single_erase DFinsupp.Lex.acc_of_single_erase variable (hbot : ∀ ⦃i a⦄, ¬s i a 0) theorem Lex.acc_zero : Acc (DFinsupp.Lex r s) 0 := Acc.intro 0 fun _ ⟨_, _, h⟩ => (hbot h).elim #align dfinsupp.lex.acc_zero DFinsupp.Lex.acc_zero theorem Lex.acc_of_single [DecidableEq ι] [∀ (i) (x : α i), Decidable (x ≠ 0)] (x : Π₀ i, α i) : (∀ i ∈ x.support, Acc (DFinsupp.Lex r s) <| single i (x i)) → Acc (DFinsupp.Lex r s) x := by generalize ht : x.support = t; revert x classical induction' t using Finset.induction with b t hb ih · intro x ht rw [support_eq_empty.1 ht] exact fun _ => Lex.acc_zero hbot refine fun x ht h => Lex.acc_of_single_erase b (h b <| t.mem_insert_self b) ?_ refine ih _ (by rw [support_erase, ht, Finset.erase_insert hb]) fun a ha => ?_ rw [erase_ne (ha.ne_of_not_mem hb)] exact h a (Finset.mem_insert_of_mem ha) #align dfinsupp.lex.acc_of_single DFinsupp.Lex.acc_of_single variable (hs : ∀ i, WellFounded (s i))
Mathlib/Data/DFinsupp/WellFounded.lean
134
153
theorem Lex.acc_single [DecidableEq ι] {i : ι} (hi : Acc (rᶜ ⊓ (· ≠ ·)) i) : ∀ a, Acc (DFinsupp.Lex r s) (single i a) := by
induction' hi with i _ ih refine fun a => WellFounded.induction (hs i) (C := fun x ↦ Acc (DFinsupp.Lex r s) (single i x)) a fun a ha ↦ ?_ refine Acc.intro _ fun x ↦ ?_ rintro ⟨k, hr, hs⟩ rw [single_apply] at hs split_ifs at hs with hik swap · exact (hbot hs).elim subst hik classical refine Lex.acc_of_single hbot x fun j hj ↦ ?_ obtain rfl | hij := eq_or_ne i j · exact ha _ hs by_cases h : r j i · rw [hr j h, single_eq_of_ne hij, single_zero] exact Lex.acc_zero hbot · exact ih _ ⟨h, hij.symm⟩ _
18
import Mathlib.Data.Fintype.Basic import Mathlib.Data.Set.Finite #align_import combinatorics.hall.finite from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce" open Finset universe u v namespace HallMarriageTheorem variable {ι : Type u} {α : Type v} [DecidableEq α] {t : ι → Finset α} section Fintype variable [Fintype ι]
Mathlib/Combinatorics/Hall/Finite.lean
50
70
theorem hall_cond_of_erase {x : ι} (a : α) (ha : ∀ s : Finset ι, s.Nonempty → s ≠ univ → s.card < (s.biUnion t).card) (s' : Finset { x' : ι | x' ≠ x }) : s'.card ≤ (s'.biUnion fun x' => (t x').erase a).card := by
haveI := Classical.decEq ι specialize ha (s'.image fun z => z.1) rw [image_nonempty, Finset.card_image_of_injective s' Subtype.coe_injective] at ha by_cases he : s'.Nonempty · have ha' : s'.card < (s'.biUnion fun x => t x).card := by convert ha he fun h => by simpa [← h] using mem_univ x using 2 ext x simp only [mem_image, mem_biUnion, exists_prop, SetCoe.exists, exists_and_right, exists_eq_right, Subtype.coe_mk] rw [← erase_biUnion] by_cases hb : a ∈ s'.biUnion fun x => t x · rw [card_erase_of_mem hb] exact Nat.le_sub_one_of_lt ha' · rw [erase_eq_of_not_mem hb] exact Nat.le_of_lt ha' · rw [nonempty_iff_ne_empty, not_not] at he subst s' simp
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import Mathlib.MeasureTheory.Measure.Haar.InnerProductSpace import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar import Mathlib.MeasureTheory.Integral.SetIntegral #align_import measure_theory.measure.haar.normed_space from "leanprover-community/mathlib"@"b84aee748341da06a6d78491367e2c0e9f15e8a5" noncomputable section open scoped NNReal ENNReal Pointwise Topology open Inv Set Function MeasureTheory.Measure Filter open FiniteDimensional namespace MeasureTheory namespace Measure example {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [Nontrivial E] [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E] (μ : Measure E) [IsAddHaarMeasure μ] : NoAtoms μ := by infer_instance variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] variable {s : Set E}
Mathlib/MeasureTheory/Measure/Haar/NormedSpace.lean
64
83
theorem integral_comp_smul (f : E → F) (R : ℝ) : ∫ x, f (R • x) ∂μ = |(R ^ finrank ℝ E)⁻¹| • ∫ x, f x ∂μ := by
by_cases hF : CompleteSpace F; swap · simp [integral, hF] rcases eq_or_ne R 0 with (rfl | hR) · simp only [zero_smul, integral_const] rcases Nat.eq_zero_or_pos (finrank ℝ E) with (hE | hE) · have : Subsingleton E := finrank_zero_iff.1 hE have : f = fun _ => f 0 := by ext x; rw [Subsingleton.elim x 0] conv_rhs => rw [this] simp only [hE, pow_zero, inv_one, abs_one, one_smul, integral_const] · have : Nontrivial E := finrank_pos_iff.1 hE simp only [zero_pow hE.ne', measure_univ_of_isAddLeftInvariant, ENNReal.top_toReal, zero_smul, inv_zero, abs_zero] · calc (∫ x, f (R • x) ∂μ) = ∫ y, f y ∂Measure.map (fun x => R • x) μ := (integral_map_equiv (Homeomorph.smul (isUnit_iff_ne_zero.2 hR).unit).toMeasurableEquiv f).symm _ = |(R ^ finrank ℝ E)⁻¹| • ∫ x, f x ∂μ := by simp only [map_addHaar_smul μ hR, integral_smul_measure, ENNReal.toReal_ofReal, abs_nonneg]
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import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic import Mathlib.NumberTheory.GaussSum #align_import number_theory.legendre_symbol.quadratic_char.gauss_sum from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" section SpecialValues open ZMod MulChar variable {F : Type*} [Field F] [Fintype F] theorem quadraticChar_two [DecidableEq F] (hF : ringChar F ≠ 2) : quadraticChar F 2 = χ₈ (Fintype.card F) := IsQuadratic.eq_of_eq_coe (quadraticChar_isQuadratic F) isQuadratic_χ₈ hF ((quadraticChar_eq_pow_of_char_ne_two' hF 2).trans (FiniteField.two_pow_card hF)) #align quadratic_char_two quadraticChar_two
Mathlib/NumberTheory/LegendreSymbol/QuadraticChar/GaussSum.lean
42
61
theorem FiniteField.isSquare_two_iff : IsSquare (2 : F) ↔ Fintype.card F % 8 ≠ 3 ∧ Fintype.card F % 8 ≠ 5 := by
classical by_cases hF : ringChar F = 2 focus have h := FiniteField.even_card_of_char_two hF simp only [FiniteField.isSquare_of_char_two hF, true_iff_iff] rotate_left focus have h := FiniteField.odd_card_of_char_ne_two hF rw [← quadraticChar_one_iff_isSquare (Ring.two_ne_zero hF), quadraticChar_two hF, χ₈_nat_eq_if_mod_eight] simp only [h, Nat.one_ne_zero, if_false, ite_eq_left_iff, Ne, (by decide : (-1 : ℤ) ≠ 1), imp_false, Classical.not_not] all_goals rw [← Nat.mod_mod_of_dvd _ (by decide : 2 ∣ 8)] at h have h₁ := Nat.mod_lt (Fintype.card F) (by decide : 0 < 8) revert h₁ h generalize Fintype.card F % 8 = n intros; interval_cases n <;> simp_all -- Porting note (#11043): was `decide!`
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import Mathlib.RingTheory.Ideal.Maps import Mathlib.Topology.Algebra.Nonarchimedean.Bases import Mathlib.Topology.Algebra.UniformRing #align_import topology.algebra.nonarchimedean.adic_topology from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" variable {R : Type*} [CommRing R] open Set TopologicalAddGroup Submodule Filter open Topology Pointwise namespace Ideal
Mathlib/Topology/Algebra/Nonarchimedean/AdicTopology.lean
54
73
theorem adic_basis (I : Ideal R) : SubmodulesRingBasis fun n : ℕ => (I ^ n • ⊤ : Ideal R) := { inter := by
suffices ∀ i j : ℕ, ∃ k, I ^ k ≤ I ^ i ∧ I ^ k ≤ I ^ j by simpa only [smul_eq_mul, mul_top, Algebra.id.map_eq_id, map_id, le_inf_iff] using this intro i j exact ⟨max i j, pow_le_pow_right (le_max_left i j), pow_le_pow_right (le_max_right i j)⟩ leftMul := by suffices ∀ (a : R) (i : ℕ), ∃ j : ℕ, a • I ^ j ≤ I ^ i by simpa only [smul_top_eq_map, Algebra.id.map_eq_id, map_id] using this intro r n use n rintro a ⟨x, hx, rfl⟩ exact (I ^ n).smul_mem r hx mul := by suffices ∀ i : ℕ, ∃ j : ℕ, (↑(I ^ j) * ↑(I ^ j) : Set R) ⊆ (↑(I ^ i) : Set R) by simpa only [smul_top_eq_map, Algebra.id.map_eq_id, map_id] using this intro n use n rintro a ⟨x, _hx, b, hb, rfl⟩ exact (I ^ n).smul_mem x hb }
18
import Mathlib.Dynamics.Ergodic.AddCircle import Mathlib.MeasureTheory.Covering.LiminfLimsup #align_import number_theory.well_approximable from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" open Set Filter Function Metric MeasureTheory open scoped MeasureTheory Topology Pointwise @[to_additive "In a seminormed additive group `A`, given `n : ℕ` and `δ : ℝ`, `approxAddOrderOf A n δ` is the set of elements within a distance `δ` of a point of order `n`."] def approxOrderOf (A : Type*) [SeminormedGroup A] (n : ℕ) (δ : ℝ) : Set A := thickening δ {y | orderOf y = n} #align approx_order_of approxOrderOf #align approx_add_order_of approxAddOrderOf @[to_additive mem_approx_add_orderOf_iff] theorem mem_approxOrderOf_iff {A : Type*} [SeminormedGroup A] {n : ℕ} {δ : ℝ} {a : A} : a ∈ approxOrderOf A n δ ↔ ∃ b : A, orderOf b = n ∧ a ∈ ball b δ := by simp only [approxOrderOf, thickening_eq_biUnion_ball, mem_iUnion₂, mem_setOf_eq, exists_prop] #align mem_approx_order_of_iff mem_approxOrderOf_iff #align mem_approx_add_order_of_iff mem_approx_add_orderOf_iff @[to_additive addWellApproximable "In a seminormed additive group `A`, given a sequence of distances `δ₁, δ₂, ...`, `addWellApproximable A δ` is the limsup as `n → ∞` of the sets `approxAddOrderOf A n δₙ`. Thus, it is the set of points that lie in infinitely many of the sets `approxAddOrderOf A n δₙ`."] def wellApproximable (A : Type*) [SeminormedGroup A] (δ : ℕ → ℝ) : Set A := blimsup (fun n => approxOrderOf A n (δ n)) atTop fun n => 0 < n #align well_approximable wellApproximable #align add_well_approximable addWellApproximable @[to_additive mem_add_wellApproximable_iff] theorem mem_wellApproximable_iff {A : Type*} [SeminormedGroup A] {δ : ℕ → ℝ} {a : A} : a ∈ wellApproximable A δ ↔ a ∈ blimsup (fun n => approxOrderOf A n (δ n)) atTop fun n => 0 < n := Iff.rfl #align mem_well_approximable_iff mem_wellApproximable_iff #align mem_add_well_approximable_iff mem_add_wellApproximable_iff namespace approxOrderOf variable {A : Type*} [SeminormedCommGroup A] {a : A} {m n : ℕ} (δ : ℝ) @[to_additive] theorem image_pow_subset_of_coprime (hm : 0 < m) (hmn : n.Coprime m) : (fun (y : A) => y ^ m) '' approxOrderOf A n δ ⊆ approxOrderOf A n (m * δ) := by rintro - ⟨a, ha, rfl⟩ obtain ⟨b, hb, hab⟩ := mem_approxOrderOf_iff.mp ha replace hb : b ^ m ∈ {u : A | orderOf u = n} := by rw [← hb] at hmn ⊢; exact hmn.orderOf_pow apply ball_subset_thickening hb ((m : ℝ) • δ) convert pow_mem_ball hm hab using 1 simp only [nsmul_eq_mul, Algebra.id.smul_eq_mul] #align approx_order_of.image_pow_subset_of_coprime approxOrderOf.image_pow_subset_of_coprime #align approx_add_order_of.image_nsmul_subset_of_coprime approxAddOrderOf.image_nsmul_subset_of_coprime @[to_additive] theorem image_pow_subset (n : ℕ) (hm : 0 < m) : (fun (y : A) => y ^ m) '' approxOrderOf A (n * m) δ ⊆ approxOrderOf A n (m * δ) := by rintro - ⟨a, ha, rfl⟩ obtain ⟨b, hb : orderOf b = n * m, hab : a ∈ ball b δ⟩ := mem_approxOrderOf_iff.mp ha replace hb : b ^ m ∈ {y : A | orderOf y = n} := by rw [mem_setOf_eq, orderOf_pow' b hm.ne', hb, Nat.gcd_mul_left_left, n.mul_div_cancel hm] apply ball_subset_thickening hb (m * δ) convert pow_mem_ball hm hab using 1 simp only [nsmul_eq_mul] #align approx_order_of.image_pow_subset approxOrderOf.image_pow_subset #align approx_add_order_of.image_nsmul_subset approxAddOrderOf.image_nsmul_subset @[to_additive] theorem smul_subset_of_coprime (han : (orderOf a).Coprime n) : a • approxOrderOf A n δ ⊆ approxOrderOf A (orderOf a * n) δ := by simp_rw [approxOrderOf, thickening_eq_biUnion_ball, ← image_smul, image_iUnion₂, image_smul, smul_ball'', smul_eq_mul, mem_setOf_eq] refine iUnion₂_subset_iff.mpr fun b hb c hc => ?_ simp only [mem_iUnion, exists_prop] refine ⟨a * b, ?_, hc⟩ rw [← hb] at han ⊢ exact (Commute.all a b).orderOf_mul_eq_mul_orderOf_of_coprime han #align approx_order_of.smul_subset_of_coprime approxOrderOf.smul_subset_of_coprime #align approx_add_order_of.vadd_subset_of_coprime approxAddOrderOf.vadd_subset_of_coprime @[to_additive vadd_eq_of_mul_dvd]
Mathlib/NumberTheory/WellApproximable.lean
147
166
theorem smul_eq_of_mul_dvd (hn : 0 < n) (han : orderOf a ^ 2 ∣ n) : a • approxOrderOf A n δ = approxOrderOf A n δ := by
simp_rw [approxOrderOf, thickening_eq_biUnion_ball, ← image_smul, image_iUnion₂, image_smul, smul_ball'', smul_eq_mul, mem_setOf_eq] replace han : ∀ {b : A}, orderOf b = n → orderOf (a * b) = n := by intro b hb rw [← hb] at han hn rw [sq] at han rwa [(Commute.all a b).orderOf_mul_eq_right_of_forall_prime_mul_dvd (orderOf_pos_iff.mp hn) fun p _ hp' => dvd_trans (mul_dvd_mul_right hp' <| orderOf a) han] let f : {b : A | orderOf b = n} → {b : A | orderOf b = n} := fun b => ⟨a * b, han b.property⟩ have hf : Surjective f := by rintro ⟨b, hb⟩ refine ⟨⟨a⁻¹ * b, ?_⟩, ?_⟩ · rw [mem_setOf_eq, ← orderOf_inv, mul_inv_rev, inv_inv, mul_comm] apply han simpa · simp only [f, Subtype.mk_eq_mk, Subtype.coe_mk, mul_inv_cancel_left] simpa only [mem_setOf_eq, Subtype.coe_mk, iUnion_coe_set] using hf.iUnion_comp fun b => ball (b : A) δ
18
import Mathlib.CategoryTheory.Limits.Preserves.Opposites import Mathlib.Topology.Category.TopCat.Yoneda import Mathlib.Condensed.Explicit universe w w' v u open CategoryTheory Opposite Limits regularTopology ContinuousMap variable {C : Type u} [Category.{v} C] (G : C ⥤ TopCat.{w}) (X : Type w') [TopologicalSpace X] theorem factorsThrough_of_pullbackCondition {Z B : C} {π : Z ⟶ B} [HasPullback π π] [PreservesLimit (cospan π π) G] {a : C(G.obj Z, X)} (ha : a ∘ (G.map pullback.fst) = a ∘ (G.map (pullback.snd (f := π) (g := π)))) : Function.FactorsThrough a (G.map π) := by intro x y hxy let xy : G.obj (pullback π π) := (PreservesPullback.iso G π π).inv <| (TopCat.pullbackIsoProdSubtype (G.map π) (G.map π)).inv ⟨(x, y), hxy⟩ have ha' := congr_fun ha xy dsimp at ha' have h₁ : ∀ y, G.map pullback.fst ((PreservesPullback.iso G π π).inv y) = pullback.fst (f := G.map π) (g := G.map π) y := by simp only [← PreservesPullback.iso_inv_fst]; intro y; rfl have h₂ : ∀ y, G.map pullback.snd ((PreservesPullback.iso G π π).inv y) = pullback.snd (f := G.map π) (g := G.map π) y := by simp only [← PreservesPullback.iso_inv_snd]; intro y; rfl erw [h₁, h₂, TopCat.pullbackIsoProdSubtype_inv_fst_apply, TopCat.pullbackIsoProdSubtype_inv_snd_apply] at ha' simpa using ha'
Mathlib/Condensed/TopComparison.lean
65
86
theorem equalizerCondition_yonedaPresheaf [∀ (Z B : C) (π : Z ⟶ B) [EffectiveEpi π], PreservesLimit (cospan π π) G] (hq : ∀ (Z B : C) (π : Z ⟶ B) [EffectiveEpi π], QuotientMap (G.map π)) : EqualizerCondition (yonedaPresheaf G X) := by
apply EqualizerCondition.mk intro Z B π _ _ refine ⟨fun a b h ↦ ?_, fun ⟨a, ha⟩ ↦ ?_⟩ · simp only [yonedaPresheaf, unop_op, Quiver.Hom.unop_op, Set.coe_setOf, MapToEqualizer, Set.mem_setOf_eq, Subtype.mk.injEq, comp, ContinuousMap.mk.injEq] at h simp only [yonedaPresheaf, unop_op] ext x obtain ⟨y, hy⟩ := (hq Z B π).surjective x rw [← hy] exact congr_fun h y · simp only [yonedaPresheaf, comp, unop_op, Quiver.Hom.unop_op, Set.mem_setOf_eq, ContinuousMap.mk.injEq] at ha simp only [yonedaPresheaf, comp, unop_op, Quiver.Hom.unop_op, Set.coe_setOf, MapToEqualizer, Set.mem_setOf_eq, Subtype.mk.injEq] simp only [yonedaPresheaf, unop_op] at a refine ⟨(hq Z B π).lift a (factorsThrough_of_pullbackCondition G X ha), ?_⟩ congr exact DFunLike.ext'_iff.mp ((hq Z B π).lift_comp a (factorsThrough_of_pullbackCondition G X ha))
18
import Mathlib.Probability.Process.HittingTime import Mathlib.Probability.Martingale.Basic #align_import probability.martingale.optional_stopping from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open scoped NNReal ENNReal MeasureTheory ProbabilityTheory namespace MeasureTheory variable {Ω : Type*} {m0 : MeasurableSpace Ω} {μ : Measure Ω} {𝒢 : Filtration ℕ m0} {f : ℕ → Ω → ℝ} {τ π : Ω → ℕ} -- We may generalize the below lemma to functions taking value in a `NormedLatticeAddCommGroup`. -- Similarly, generalize `(Super/Sub)martingale.setIntegral_le`. theorem Submartingale.expected_stoppedValue_mono [SigmaFiniteFiltration μ 𝒢] (hf : Submartingale f 𝒢 μ) (hτ : IsStoppingTime 𝒢 τ) (hπ : IsStoppingTime 𝒢 π) (hle : τ ≤ π) {N : ℕ} (hbdd : ∀ ω, π ω ≤ N) : μ[stoppedValue f τ] ≤ μ[stoppedValue f π] := by rw [← sub_nonneg, ← integral_sub', stoppedValue_sub_eq_sum' hle hbdd] · simp only [Finset.sum_apply] have : ∀ i, MeasurableSet[𝒢 i] {ω : Ω | τ ω ≤ i ∧ i < π ω} := by intro i refine (hτ i).inter ?_ convert (hπ i).compl using 1 ext x simp; rfl rw [integral_finset_sum] · refine Finset.sum_nonneg fun i _ => ?_ rw [integral_indicator (𝒢.le _ _ (this _)), integral_sub', sub_nonneg] · exact hf.setIntegral_le (Nat.le_succ i) (this _) · exact (hf.integrable _).integrableOn · exact (hf.integrable _).integrableOn intro i _ exact Integrable.indicator (Integrable.sub (hf.integrable _) (hf.integrable _)) (𝒢.le _ _ (this _)) · exact hf.integrable_stoppedValue hπ hbdd · exact hf.integrable_stoppedValue hτ fun ω => le_trans (hle ω) (hbdd ω) #align measure_theory.submartingale.expected_stopped_value_mono MeasureTheory.Submartingale.expected_stoppedValue_mono theorem submartingale_of_expected_stoppedValue_mono [IsFiniteMeasure μ] (hadp : Adapted 𝒢 f) (hint : ∀ i, Integrable (f i) μ) (hf : ∀ τ π : Ω → ℕ, IsStoppingTime 𝒢 τ → IsStoppingTime 𝒢 π → τ ≤ π → (∃ N, ∀ ω, π ω ≤ N) → μ[stoppedValue f τ] ≤ μ[stoppedValue f π]) : Submartingale f 𝒢 μ := by refine submartingale_of_setIntegral_le hadp hint fun i j hij s hs => ?_ classical specialize hf (s.piecewise (fun _ => i) fun _ => j) _ (isStoppingTime_piecewise_const hij hs) (isStoppingTime_const 𝒢 j) (fun x => (ite_le_sup _ _ (x ∈ s)).trans (max_eq_right hij).le) ⟨j, fun _ => le_rfl⟩ rwa [stoppedValue_const, stoppedValue_piecewise_const, integral_piecewise (𝒢.le _ _ hs) (hint _).integrableOn (hint _).integrableOn, ← integral_add_compl (𝒢.le _ _ hs) (hint j), add_le_add_iff_right] at hf #align measure_theory.submartingale_of_expected_stopped_value_mono MeasureTheory.submartingale_of_expected_stoppedValue_mono theorem submartingale_iff_expected_stoppedValue_mono [IsFiniteMeasure μ] (hadp : Adapted 𝒢 f) (hint : ∀ i, Integrable (f i) μ) : Submartingale f 𝒢 μ ↔ ∀ τ π : Ω → ℕ, IsStoppingTime 𝒢 τ → IsStoppingTime 𝒢 π → τ ≤ π → (∃ N, ∀ x, π x ≤ N) → μ[stoppedValue f τ] ≤ μ[stoppedValue f π] := ⟨fun hf _ _ hτ hπ hle ⟨_, hN⟩ => hf.expected_stoppedValue_mono hτ hπ hle hN, submartingale_of_expected_stoppedValue_mono hadp hint⟩ #align measure_theory.submartingale_iff_expected_stopped_value_mono MeasureTheory.submartingale_iff_expected_stoppedValue_mono protected theorem Submartingale.stoppedProcess [IsFiniteMeasure μ] (h : Submartingale f 𝒢 μ) (hτ : IsStoppingTime 𝒢 τ) : Submartingale (stoppedProcess f τ) 𝒢 μ := by rw [submartingale_iff_expected_stoppedValue_mono] · intro σ π hσ hπ hσ_le_π hπ_bdd simp_rw [stoppedValue_stoppedProcess] obtain ⟨n, hπ_le_n⟩ := hπ_bdd exact h.expected_stoppedValue_mono (hσ.min hτ) (hπ.min hτ) (fun ω => min_le_min (hσ_le_π ω) le_rfl) fun ω => (min_le_left _ _).trans (hπ_le_n ω) · exact Adapted.stoppedProcess_of_discrete h.adapted hτ · exact fun i => h.integrable_stoppedValue ((isStoppingTime_const _ i).min hτ) fun ω => min_le_left _ _ #align measure_theory.submartingale.stopped_process MeasureTheory.Submartingale.stoppedProcess section Maximal open Finset
Mathlib/Probability/Martingale/OptionalStopping.lean
112
133
theorem smul_le_stoppedValue_hitting [IsFiniteMeasure μ] (hsub : Submartingale f 𝒢 μ) {ε : ℝ≥0} (n : ℕ) : ε • μ {ω | (ε : ℝ) ≤ (range (n + 1)).sup' nonempty_range_succ fun k => f k ω} ≤ ENNReal.ofReal (∫ ω in {ω | (ε : ℝ) ≤ (range (n + 1)).sup' nonempty_range_succ fun k => f k ω}, stoppedValue f (hitting f {y : ℝ | ↑ε ≤ y} 0 n) ω ∂μ) := by
have hn : Set.Icc 0 n = {k | k ≤ n} := by ext x; simp have : ∀ ω, ((ε : ℝ) ≤ (range (n + 1)).sup' nonempty_range_succ fun k => f k ω) → (ε : ℝ) ≤ stoppedValue f (hitting f {y : ℝ | ↑ε ≤ y} 0 n) ω := by intro x hx simp_rw [le_sup'_iff, mem_range, Nat.lt_succ_iff] at hx refine stoppedValue_hitting_mem ?_ simp only [Set.mem_setOf_eq, exists_prop, hn] exact let ⟨j, hj₁, hj₂⟩ := hx ⟨j, hj₁, hj₂⟩ have h := setIntegral_ge_of_const_le (measurableSet_le measurable_const (Finset.measurable_range_sup'' fun n _ => (hsub.stronglyMeasurable n).measurable.le (𝒢.le n))) (measure_ne_top _ _) this (Integrable.integrableOn (hsub.integrable_stoppedValue (hitting_isStoppingTime hsub.adapted measurableSet_Ici) hitting_le)) rw [ENNReal.le_ofReal_iff_toReal_le, ENNReal.toReal_smul] · exact h · exact ENNReal.mul_ne_top (by simp) (measure_ne_top _ _) · exact le_trans (mul_nonneg ε.coe_nonneg ENNReal.toReal_nonneg) h
18
import Mathlib.RingTheory.Ideal.IsPrimary import Mathlib.RingTheory.Localization.AtPrime import Mathlib.Order.Minimal #align_import ring_theory.ideal.minimal_prime from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" section variable {R S : Type*} [CommSemiring R] [CommSemiring S] (I J : Ideal R) protected def Ideal.minimalPrimes : Set (Ideal R) := minimals (· ≤ ·) { p | p.IsPrime ∧ I ≤ p } #align ideal.minimal_primes Ideal.minimalPrimes variable (R) in def minimalPrimes : Set (Ideal R) := Ideal.minimalPrimes ⊥ #align minimal_primes minimalPrimes lemma minimalPrimes_eq_minimals : minimalPrimes R = minimals (· ≤ ·) (setOf Ideal.IsPrime) := congr_arg (minimals (· ≤ ·)) (by simp) variable {I J}
Mathlib/RingTheory/Ideal/MinimalPrime.lean
56
74
theorem Ideal.exists_minimalPrimes_le [J.IsPrime] (e : I ≤ J) : ∃ p ∈ I.minimalPrimes, p ≤ J := by
suffices ∃ m ∈ { p : (Ideal R)ᵒᵈ | Ideal.IsPrime p ∧ I ≤ OrderDual.ofDual p }, OrderDual.toDual J ≤ m ∧ ∀ z ∈ { p : (Ideal R)ᵒᵈ | Ideal.IsPrime p ∧ I ≤ p }, m ≤ z → z = m by obtain ⟨p, h₁, h₂, h₃⟩ := this simp_rw [← @eq_comm _ p] at h₃ exact ⟨p, ⟨h₁, fun a b c => le_of_eq (h₃ a b c)⟩, h₂⟩ apply zorn_nonempty_partialOrder₀ swap · refine ⟨show J.IsPrime by infer_instance, e⟩ rintro (c : Set (Ideal R)) hc hc' J' hJ' refine ⟨OrderDual.toDual (sInf c), ⟨Ideal.sInf_isPrime_of_isChain ⟨J', hJ'⟩ hc'.symm fun x hx => (hc hx).1, ?_⟩, ?_⟩ · rw [OrderDual.ofDual_toDual, le_sInf_iff] exact fun _ hx => (hc hx).2 · rintro z hz rw [OrderDual.le_toDual] exact sInf_le hz
18
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 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] #align has_deriv_at.lhopital_zero_right_on_Ioo HasDerivAt.lhopital_zero_right_on_Ioo theorem lhopital_zero_right_on_Ico (hff' : ∀ x ∈ Ioo a b, HasDerivAt f (f' x) x) (hgg' : ∀ x ∈ Ioo a b, HasDerivAt g (g' x) x) (hcf : ContinuousOn f (Ico a b)) (hcg : ContinuousOn g (Ico a b)) (hg' : ∀ x ∈ Ioo a b, g' x ≠ 0) (hfa : f a = 0) (hga : g a = 0) (hdiv : Tendsto (fun x => f' x / g' x) (𝓝[>] a) l) : Tendsto (fun x => f x / g x) (𝓝[>] a) l := by refine lhopital_zero_right_on_Ioo hab hff' hgg' hg' ?_ ?_ hdiv · rw [← hfa, ← nhdsWithin_Ioo_eq_nhdsWithin_Ioi hab] exact ((hcf a <| left_mem_Ico.mpr hab).mono Ioo_subset_Ico_self).tendsto · rw [← hga, ← nhdsWithin_Ioo_eq_nhdsWithin_Ioi hab] exact ((hcg a <| left_mem_Ico.mpr hab).mono Ioo_subset_Ico_self).tendsto #align has_deriv_at.lhopital_zero_right_on_Ico HasDerivAt.lhopital_zero_right_on_Ico
Mathlib/Analysis/Calculus/LHopital.lean
107
129
theorem lhopital_zero_left_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) (hfb : Tendsto f (𝓝[<] b) (𝓝 0)) (hgb : Tendsto g (𝓝[<] b) (𝓝 0)) (hdiv : Tendsto (fun x => f' x / g' x) (𝓝[<] b) l) : Tendsto (fun x => f x / g x) (𝓝[<] b) l := by
-- Here, we essentially compose by `Neg.neg`. The following is mostly technical details. have hdnf : ∀ x ∈ -Ioo a b, HasDerivAt (f ∘ Neg.neg) (f' (-x) * -1) x := fun x hx => comp x (hff' (-x) hx) (hasDerivAt_neg x) have hdng : ∀ x ∈ -Ioo a b, HasDerivAt (g ∘ Neg.neg) (g' (-x) * -1) x := fun x hx => comp x (hgg' (-x) hx) (hasDerivAt_neg x) rw [preimage_neg_Ioo] at hdnf rw [preimage_neg_Ioo] at hdng have := lhopital_zero_right_on_Ioo (neg_lt_neg hab) hdnf hdng (by intro x hx h apply hg' _ (by rw [← preimage_neg_Ioo] at hx; exact hx) rwa [mul_comm, ← neg_eq_neg_one_mul, neg_eq_zero] at h) (hfb.comp tendsto_neg_nhdsWithin_Ioi_neg) (hgb.comp tendsto_neg_nhdsWithin_Ioi_neg) (by simp only [neg_div_neg_eq, mul_one, mul_neg] exact (tendsto_congr fun x => rfl).mp (hdiv.comp tendsto_neg_nhdsWithin_Ioi_neg)) have := this.comp tendsto_neg_nhdsWithin_Iio unfold Function.comp at this simpa only [neg_neg]
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