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import Mathlib.Probability.Variance #align_import probability.moments from "leanprover-community/mathlib"@"85453a2a14be8da64caf15ca50930cf4c6e5d8de" open MeasureTheory Filter Finset Real noncomputable section open scoped MeasureTheory ProbabilityTheory ENNReal NNReal namespace ProbabilityTheory variable {Ω ι : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {p : ℕ} {μ : Measure Ω} def moment (X : Ω → ℝ) (p : ℕ) (μ : Measure Ω) : ℝ := μ[X ^ p] #align probability_theory.moment ProbabilityTheory.moment def centralMoment (X : Ω → ℝ) (p : ℕ) (μ : Measure Ω) : ℝ := by have m := fun (x : Ω) => μ[X] -- Porting note: Lean deems `μ[(X - fun x => μ[X]) ^ p]` ambiguous exact μ[(X - m) ^ p] #align probability_theory.central_moment ProbabilityTheory.centralMoment @[simp]
Mathlib/Probability/Moments.lean
62
64
theorem moment_zero (hp : p ≠ 0) : moment 0 p μ = 0 := by
simp only [moment, hp, zero_pow, Ne, not_false_iff, Pi.zero_apply, integral_const, smul_eq_mul, mul_zero, integral_zero]
import Mathlib.Algebra.Group.NatPowAssoc import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Induction import Mathlib.Algebra.Polynomial.Eval namespace Polynomial section MulActionWithZero variable {R : Type*} [Semiring R] (r : R) (p : R[X]) {S : Type*} [AddCommMonoid S] [Pow S ℕ] [MulActionWithZero R S] (x : S) def smul_pow : ℕ → R → S := fun n r => r • x^n irreducible_def smeval : S := p.sum (smul_pow x) theorem smeval_eq_sum : p.smeval x = p.sum (smul_pow x) := by rw [smeval_def] @[simp] theorem smeval_C : (C r).smeval x = r • x ^ 0 := by simp only [smeval_eq_sum, smul_pow, zero_smul, sum_C_index] @[simp] theorem smeval_monomial (n : ℕ) : (monomial n r).smeval x = r • x ^ n := by simp only [smeval_eq_sum, smul_pow, zero_smul, sum_monomial_index] theorem eval_eq_smeval : p.eval r = p.smeval r := by rw [eval_eq_sum, smeval_eq_sum] rfl theorem eval₂_eq_smeval (R : Type*) [Semiring R] {S : Type*} [Semiring S] (f : R →+* S) (p : R[X]) (x: S) : letI : Module R S := RingHom.toModule f p.eval₂ f x = p.smeval x := by letI : Module R S := RingHom.toModule f rw [smeval_eq_sum, eval₂_eq_sum] rfl variable (R) @[simp]
Mathlib/Algebra/Polynomial/Smeval.lean
79
80
theorem smeval_zero : (0 : R[X]).smeval x = 0 := by
simp only [smeval_eq_sum, smul_pow, sum_zero_index]
import Mathlib.Data.SetLike.Basic import Mathlib.Data.Finset.Preimage import Mathlib.ModelTheory.Semantics #align_import model_theory.definability from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe u v w u₁ namespace Set variable {M : Type w} (A : Set M) (L : FirstOrder.Language.{u, v}) [L.Structure M] open FirstOrder FirstOrder.Language FirstOrder.Language.Structure variable {α : Type u₁} {β : Type*} def Definable (s : Set (α → M)) : Prop := ∃ φ : L[[A]].Formula α, s = setOf φ.Realize #align set.definable Set.Definable variable {L} {A} {B : Set M} {s : Set (α → M)} theorem Definable.map_expansion {L' : FirstOrder.Language} [L'.Structure M] (h : A.Definable L s) (φ : L →ᴸ L') [φ.IsExpansionOn M] : A.Definable L' s := by obtain ⟨ψ, rfl⟩ := h refine ⟨(φ.addConstants A).onFormula ψ, ?_⟩ ext x simp only [mem_setOf_eq, LHom.realize_onFormula] #align set.definable.map_expansion Set.Definable.map_expansion theorem definable_iff_exists_formula_sum : A.Definable L s ↔ ∃ φ : L.Formula (A ⊕ α), s = {v | φ.Realize (Sum.elim (↑) v)} := by rw [Definable, Equiv.exists_congr_left (BoundedFormula.constantsVarsEquiv)] refine exists_congr (fun φ => iff_iff_eq.2 (congr_arg (s = ·) ?_)) ext simp only [Formula.Realize, BoundedFormula.constantsVarsEquiv, constantsOn, mk₂_Relations, BoundedFormula.mapTermRelEquiv_symm_apply, mem_setOf_eq] refine BoundedFormula.realize_mapTermRel_id ?_ (fun _ _ _ => rfl) intros simp only [Term.constantsVarsEquivLeft_symm_apply, Term.realize_varsToConstants, coe_con, Term.realize_relabel] congr ext a rcases a with (_ | _) | _ <;> rfl theorem empty_definable_iff : (∅ : Set M).Definable L s ↔ ∃ φ : L.Formula α, s = setOf φ.Realize := by rw [Definable, Equiv.exists_congr_left (LEquiv.addEmptyConstants L (∅ : Set M)).onFormula] simp [-constantsOn] #align set.empty_definable_iff Set.empty_definable_iff theorem definable_iff_empty_definable_with_params : A.Definable L s ↔ (∅ : Set M).Definable (L[[A]]) s := empty_definable_iff.symm #align set.definable_iff_empty_definable_with_params Set.definable_iff_empty_definable_with_params
Mathlib/ModelTheory/Definability.lean
86
88
theorem Definable.mono (hAs : A.Definable L s) (hAB : A ⊆ B) : B.Definable L s := by
rw [definable_iff_empty_definable_with_params] at * exact hAs.map_expansion (L.lhomWithConstantsMap (Set.inclusion hAB))
import Mathlib.LinearAlgebra.Finsupp import Mathlib.RingTheory.Ideal.Over import Mathlib.RingTheory.Ideal.Prod import Mathlib.RingTheory.Ideal.MinimalPrime import Mathlib.RingTheory.Localization.Away.Basic import Mathlib.RingTheory.Nilpotent.Lemmas import Mathlib.Topology.Sets.Closeds import Mathlib.Topology.Sober #align_import algebraic_geometry.prime_spectrum.basic from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0" noncomputable section open scoped Classical universe u v variable (R : Type u) (S : Type v) @[ext] structure PrimeSpectrum [CommSemiring R] where asIdeal : Ideal R IsPrime : asIdeal.IsPrime #align prime_spectrum PrimeSpectrum attribute [instance] PrimeSpectrum.IsPrime namespace PrimeSpectrum section CommSemiRing variable [CommSemiring R] [CommSemiring S] variable {R S} instance [Nontrivial R] : Nonempty <| PrimeSpectrum R := let ⟨I, hI⟩ := Ideal.exists_maximal R ⟨⟨I, hI.isPrime⟩⟩ instance [Subsingleton R] : IsEmpty (PrimeSpectrum R) := ⟨fun x ↦ x.IsPrime.ne_top <| SetLike.ext' <| Subsingleton.eq_univ_of_nonempty x.asIdeal.nonempty⟩ #noalign prime_spectrum.punit variable (R S) @[simp] def primeSpectrumProdOfSum : Sum (PrimeSpectrum R) (PrimeSpectrum S) → PrimeSpectrum (R × S) | Sum.inl ⟨I, _⟩ => ⟨Ideal.prod I ⊤, Ideal.isPrime_ideal_prod_top⟩ | Sum.inr ⟨J, _⟩ => ⟨Ideal.prod ⊤ J, Ideal.isPrime_ideal_prod_top'⟩ #align prime_spectrum.prime_spectrum_prod_of_sum PrimeSpectrum.primeSpectrumProdOfSum noncomputable def primeSpectrumProd : PrimeSpectrum (R × S) ≃ Sum (PrimeSpectrum R) (PrimeSpectrum S) := Equiv.symm <| Equiv.ofBijective (primeSpectrumProdOfSum R S) (by constructor · rintro (⟨I, hI⟩ | ⟨J, hJ⟩) (⟨I', hI'⟩ | ⟨J', hJ'⟩) h <;> simp only [mk.injEq, Ideal.prod.ext_iff, primeSpectrumProdOfSum] at h · simp only [h] · exact False.elim (hI.ne_top h.left) · exact False.elim (hJ.ne_top h.right) · simp only [h] · rintro ⟨I, hI⟩ rcases (Ideal.ideal_prod_prime I).mp hI with (⟨p, ⟨hp, rfl⟩⟩ | ⟨p, ⟨hp, rfl⟩⟩) · exact ⟨Sum.inl ⟨p, hp⟩, rfl⟩ · exact ⟨Sum.inr ⟨p, hp⟩, rfl⟩) #align prime_spectrum.prime_spectrum_prod PrimeSpectrum.primeSpectrumProd variable {R S} @[simp] theorem primeSpectrumProd_symm_inl_asIdeal (x : PrimeSpectrum R) : ((primeSpectrumProd R S).symm <| Sum.inl x).asIdeal = Ideal.prod x.asIdeal ⊤ := by cases x rfl #align prime_spectrum.prime_spectrum_prod_symm_inl_as_ideal PrimeSpectrum.primeSpectrumProd_symm_inl_asIdeal @[simp] theorem primeSpectrumProd_symm_inr_asIdeal (x : PrimeSpectrum S) : ((primeSpectrumProd R S).symm <| Sum.inr x).asIdeal = Ideal.prod ⊤ x.asIdeal := by cases x rfl #align prime_spectrum.prime_spectrum_prod_symm_inr_as_ideal PrimeSpectrum.primeSpectrumProd_symm_inr_asIdeal def zeroLocus (s : Set R) : Set (PrimeSpectrum R) := { x | s ⊆ x.asIdeal } #align prime_spectrum.zero_locus PrimeSpectrum.zeroLocus @[simp] theorem mem_zeroLocus (x : PrimeSpectrum R) (s : Set R) : x ∈ zeroLocus s ↔ s ⊆ x.asIdeal := Iff.rfl #align prime_spectrum.mem_zero_locus PrimeSpectrum.mem_zeroLocus @[simp] theorem zeroLocus_span (s : Set R) : zeroLocus (Ideal.span s : Set R) = zeroLocus s := by ext x exact (Submodule.gi R R).gc s x.asIdeal #align prime_spectrum.zero_locus_span PrimeSpectrum.zeroLocus_span def vanishingIdeal (t : Set (PrimeSpectrum R)) : Ideal R := ⨅ (x : PrimeSpectrum R) (_ : x ∈ t), x.asIdeal #align prime_spectrum.vanishing_ideal PrimeSpectrum.vanishingIdeal theorem coe_vanishingIdeal (t : Set (PrimeSpectrum R)) : (vanishingIdeal t : Set R) = { f : R | ∀ x : PrimeSpectrum R, x ∈ t → f ∈ x.asIdeal } := by ext f rw [vanishingIdeal, SetLike.mem_coe, Submodule.mem_iInf] apply forall_congr'; intro x rw [Submodule.mem_iInf] #align prime_spectrum.coe_vanishing_ideal PrimeSpectrum.coe_vanishingIdeal theorem mem_vanishingIdeal (t : Set (PrimeSpectrum R)) (f : R) : f ∈ vanishingIdeal t ↔ ∀ x : PrimeSpectrum R, x ∈ t → f ∈ x.asIdeal := by rw [← SetLike.mem_coe, coe_vanishingIdeal, Set.mem_setOf_eq] #align prime_spectrum.mem_vanishing_ideal PrimeSpectrum.mem_vanishingIdeal @[simp]
Mathlib/AlgebraicGeometry/PrimeSpectrum/Basic.lean
178
179
theorem vanishingIdeal_singleton (x : PrimeSpectrum R) : vanishingIdeal ({x} : Set (PrimeSpectrum R)) = x.asIdeal := by
simp [vanishingIdeal]
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 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] #align generalized_continued_fraction.int_fract_pair.coe_stream_nth_rat_eq GeneralizedContinuedFraction.IntFractPair.coe_stream_nth_rat_eq
Mathlib/Algebra/ContinuedFractions/Computation/TerminatesIffRat.lean
197
200
theorem coe_stream'_rat_eq : ((IntFractPair.stream q).map (Option.map (mapFr (↑))) : Stream' <| Option <| IntFractPair K) = IntFractPair.stream v := by
funext n; exact IntFractPair.coe_stream_nth_rat_eq v_eq_q n
import Mathlib.Data.List.OfFn import Mathlib.Data.List.Range #align_import data.list.fin_range from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" universe u namespace List variable {α : Type u} @[simp] theorem map_coe_finRange (n : ℕ) : ((finRange n) : List (Fin n)).map (Fin.val) = List.range n := by simp_rw [finRange, map_pmap, pmap_eq_map] exact List.map_id _ #align list.map_coe_fin_range List.map_coe_finRange theorem finRange_succ_eq_map (n : ℕ) : finRange n.succ = 0 :: (finRange n).map Fin.succ := by apply map_injective_iff.mpr Fin.val_injective rw [map_cons, map_coe_finRange, range_succ_eq_map, Fin.val_zero, ← map_coe_finRange, map_map, map_map] simp only [Function.comp, Fin.val_succ] #align list.fin_range_succ_eq_map List.finRange_succ_eq_map theorem finRange_succ (n : ℕ) : finRange n.succ = (finRange n |>.map Fin.castSucc |>.concat (.last _)) := by apply map_injective_iff.mpr Fin.val_injective simp [range_succ, Function.comp_def] -- Porting note: `map_nth_le` moved to `List.finRange_map_get` in Data.List.Range theorem ofFn_eq_pmap {n} {f : Fin n → α} : ofFn f = pmap (fun i hi => f ⟨i, hi⟩) (range n) fun _ => mem_range.1 := by rw [pmap_eq_map_attach] exact ext_get (by simp) fun i hi1 hi2 => by simp [get_ofFn f ⟨i, hi1⟩] #align list.of_fn_eq_pmap List.ofFn_eq_pmap theorem ofFn_id (n) : ofFn id = finRange n := ofFn_eq_pmap #align list.of_fn_id List.ofFn_id theorem ofFn_eq_map {n} {f : Fin n → α} : ofFn f = (finRange n).map f := by rw [← ofFn_id, map_ofFn, Function.comp_id] #align list.of_fn_eq_map List.ofFn_eq_map theorem nodup_ofFn_ofInjective {n} {f : Fin n → α} (hf : Function.Injective f) : Nodup (ofFn f) := by rw [ofFn_eq_pmap] exact (nodup_range n).pmap fun _ _ _ _ H => Fin.val_eq_of_eq <| hf H #align list.nodup_of_fn_of_injective List.nodup_ofFn_ofInjective
Mathlib/Data/List/FinRange.lean
64
72
theorem nodup_ofFn {n} {f : Fin n → α} : Nodup (ofFn f) ↔ Function.Injective f := by
refine ⟨?_, nodup_ofFn_ofInjective⟩ refine Fin.consInduction ?_ (fun x₀ xs ih => ?_) f · intro _ exact Function.injective_of_subsingleton _ · intro h rw [Fin.cons_injective_iff] simp_rw [ofFn_succ, Fin.cons_succ, nodup_cons, Fin.cons_zero, mem_ofFn] at h exact h.imp_right ih
import Mathlib.Probability.Independence.Basic import Mathlib.Probability.Independence.Conditional #align_import probability.independence.zero_one from "leanprover-community/mathlib"@"2f8347015b12b0864dfaf366ec4909eb70c78740" open MeasureTheory MeasurableSpace open scoped MeasureTheory ENNReal namespace ProbabilityTheory variable {α Ω ι : Type*} {_mα : MeasurableSpace α} {s : ι → MeasurableSpace Ω} {m m0 : MeasurableSpace Ω} {κ : kernel α Ω} {μα : Measure α} {μ : Measure Ω} theorem kernel.measure_eq_zero_or_one_or_top_of_indepSet_self {t : Set Ω} (h_indep : kernel.IndepSet t t κ μα) : ∀ᵐ a ∂μα, κ a t = 0 ∨ κ a t = 1 ∨ κ a t = ∞ := by specialize h_indep t t (measurableSet_generateFrom (Set.mem_singleton t)) (measurableSet_generateFrom (Set.mem_singleton t)) filter_upwards [h_indep] with a ha by_cases h0 : κ a t = 0 · exact Or.inl h0 by_cases h_top : κ a t = ∞ · exact Or.inr (Or.inr h_top) rw [← one_mul (κ a (t ∩ t)), Set.inter_self, ENNReal.mul_eq_mul_right h0 h_top] at ha exact Or.inr (Or.inl ha.symm) theorem measure_eq_zero_or_one_or_top_of_indepSet_self {t : Set Ω} (h_indep : IndepSet t t μ) : μ t = 0 ∨ μ t = 1 ∨ μ t = ∞ := by simpa only [ae_dirac_eq, Filter.eventually_pure] using kernel.measure_eq_zero_or_one_or_top_of_indepSet_self h_indep #align probability_theory.measure_eq_zero_or_one_or_top_of_indep_set_self ProbabilityTheory.measure_eq_zero_or_one_or_top_of_indepSet_self theorem kernel.measure_eq_zero_or_one_of_indepSet_self [∀ a, IsFiniteMeasure (κ a)] {t : Set Ω} (h_indep : IndepSet t t κ μα) : ∀ᵐ a ∂μα, κ a t = 0 ∨ κ a t = 1 := by filter_upwards [measure_eq_zero_or_one_or_top_of_indepSet_self h_indep] with a h_0_1_top simpa only [measure_ne_top (κ a), or_false] using h_0_1_top theorem measure_eq_zero_or_one_of_indepSet_self [IsFiniteMeasure μ] {t : Set Ω} (h_indep : IndepSet t t μ) : μ t = 0 ∨ μ t = 1 := by simpa only [ae_dirac_eq, Filter.eventually_pure] using kernel.measure_eq_zero_or_one_of_indepSet_self h_indep #align probability_theory.measure_eq_zero_or_one_of_indep_set_self ProbabilityTheory.measure_eq_zero_or_one_of_indepSet_self theorem condexp_eq_zero_or_one_of_condIndepSet_self [StandardBorelSpace Ω] [Nonempty Ω] (hm : m ≤ m0) [hμ : IsFiniteMeasure μ] {t : Set Ω} (ht : MeasurableSet t) (h_indep : CondIndepSet m hm t t μ) : ∀ᵐ ω ∂μ, (μ⟦t | m⟧) ω = 0 ∨ (μ⟦t | m⟧) ω = 1 := by have h := ae_of_ae_trim hm (kernel.measure_eq_zero_or_one_of_indepSet_self h_indep) filter_upwards [condexpKernel_ae_eq_condexp hm ht, h] with ω hω_eq hω rw [← hω_eq, ENNReal.toReal_eq_zero_iff, ENNReal.toReal_eq_one_iff] cases hω with | inl h => exact Or.inl (Or.inl h) | inr h => exact Or.inr h variable [IsMarkovKernel κ] [IsProbabilityMeasure μ] open Filter theorem kernel.indep_biSup_compl (h_le : ∀ n, s n ≤ m0) (h_indep : iIndep s κ μα) (t : Set ι) : Indep (⨆ n ∈ t, s n) (⨆ n ∈ tᶜ, s n) κ μα := indep_iSup_of_disjoint h_le h_indep disjoint_compl_right theorem indep_biSup_compl (h_le : ∀ n, s n ≤ m0) (h_indep : iIndep s μ) (t : Set ι) : Indep (⨆ n ∈ t, s n) (⨆ n ∈ tᶜ, s n) μ := kernel.indep_biSup_compl h_le h_indep t #align probability_theory.indep_bsupr_compl ProbabilityTheory.indep_biSup_compl theorem condIndep_biSup_compl [StandardBorelSpace Ω] [Nonempty Ω] (hm : m ≤ m0) [IsFiniteMeasure μ] (h_le : ∀ n, s n ≤ m0) (h_indep : iCondIndep m hm s μ) (t : Set ι) : CondIndep m (⨆ n ∈ t, s n) (⨆ n ∈ tᶜ, s n) hm μ := kernel.indep_biSup_compl h_le h_indep t section Abstract variable {α : Type*} {p : Set ι → Prop} {f : Filter ι} {ns : α → Set ι}
Mathlib/Probability/Independence/ZeroOne.lean
109
115
theorem kernel.indep_biSup_limsup (h_le : ∀ n, s n ≤ m0) (h_indep : iIndep s κ μα) (hf : ∀ t, p t → tᶜ ∈ f) {t : Set ι} (ht : p t) : Indep (⨆ n ∈ t, s n) (limsup s f) κ μα := by
refine indep_of_indep_of_le_right (indep_biSup_compl h_le h_indep t) ?_ refine limsSup_le_of_le (by isBoundedDefault) ?_ simp only [Set.mem_compl_iff, eventually_map] exact eventually_of_mem (hf t ht) le_iSup₂
import Mathlib.Data.Nat.Defs import Mathlib.Order.Interval.Set.Basic import Mathlib.Tactic.Monotonicity.Attr #align_import data.nat.log from "leanprover-community/mathlib"@"3e00d81bdcbf77c8188bbd18f5524ddc3ed8cac6" namespace Nat --@[pp_nodot] porting note: unknown attribute def log (b : ℕ) : ℕ → ℕ | n => if h : b ≤ n ∧ 1 < b then log b (n / b) + 1 else 0 decreasing_by -- putting this in the def triggers the `unusedHavesSuffices` linter: -- https://github.com/leanprover-community/batteries/issues/428 have : n / b < n := div_lt_self ((Nat.zero_lt_one.trans h.2).trans_le h.1) h.2 decreasing_trivial #align nat.log Nat.log @[simp]
Mathlib/Data/Nat/Log.lean
42
44
theorem log_eq_zero_iff {b n : ℕ} : log b n = 0 ↔ n < b ∨ b ≤ 1 := by
rw [log, dite_eq_right_iff] simp only [Nat.add_eq_zero_iff, Nat.one_ne_zero, and_false, imp_false, not_and_or, not_le, not_lt]
import Mathlib.Algebra.EuclideanDomain.Defs import Mathlib.Algebra.Ring.Divisibility.Basic import Mathlib.Algebra.Ring.Regular import Mathlib.Algebra.GroupWithZero.Divisibility import Mathlib.Algebra.Ring.Basic #align_import algebra.euclidean_domain.basic from "leanprover-community/mathlib"@"bf9bbbcf0c1c1ead18280b0d010e417b10abb1b6" universe u namespace EuclideanDomain variable {R : Type u} variable [EuclideanDomain R] local infixl:50 " ≺ " => EuclideanDomain.R -- See note [lower instance priority] instance (priority := 100) toMulDivCancelClass : MulDivCancelClass R where mul_div_cancel a b hb := by refine (eq_of_sub_eq_zero ?_).symm by_contra h have := mul_right_not_lt b h rw [sub_mul, mul_comm (_ / _), sub_eq_iff_eq_add'.2 (div_add_mod (a * b) b).symm] at this exact this (mod_lt _ hb) #align euclidean_domain.mul_div_cancel_left mul_div_cancel_left₀ #align euclidean_domain.mul_div_cancel mul_div_cancel_right₀ @[simp] theorem mod_eq_zero {a b : R} : a % b = 0 ↔ b ∣ a := ⟨fun h => by rw [← div_add_mod a b, h, add_zero] exact dvd_mul_right _ _, fun ⟨c, e⟩ => by rw [e, ← add_left_cancel_iff, div_add_mod, add_zero] haveI := Classical.dec by_cases b0 : b = 0 · simp only [b0, zero_mul] · rw [mul_div_cancel_left₀ _ b0]⟩ #align euclidean_domain.mod_eq_zero EuclideanDomain.mod_eq_zero @[simp] theorem mod_self (a : R) : a % a = 0 := mod_eq_zero.2 dvd_rfl #align euclidean_domain.mod_self EuclideanDomain.mod_self theorem dvd_mod_iff {a b c : R} (h : c ∣ b) : c ∣ a % b ↔ c ∣ a := by rw [← dvd_add_right (h.mul_right _), div_add_mod] #align euclidean_domain.dvd_mod_iff EuclideanDomain.dvd_mod_iff @[simp] theorem mod_one (a : R) : a % 1 = 0 := mod_eq_zero.2 (one_dvd _) #align euclidean_domain.mod_one EuclideanDomain.mod_one @[simp] theorem zero_mod (b : R) : 0 % b = 0 := mod_eq_zero.2 (dvd_zero _) #align euclidean_domain.zero_mod EuclideanDomain.zero_mod @[simp] theorem zero_div {a : R} : 0 / a = 0 := by_cases (fun a0 : a = 0 => a0.symm ▸ div_zero 0) fun a0 => by simpa only [zero_mul] using mul_div_cancel_right₀ 0 a0 #align euclidean_domain.zero_div EuclideanDomain.zero_div @[simp] theorem div_self {a : R} (a0 : a ≠ 0) : a / a = 1 := by simpa only [one_mul] using mul_div_cancel_right₀ 1 a0 #align euclidean_domain.div_self EuclideanDomain.div_self theorem eq_div_of_mul_eq_left {a b c : R} (hb : b ≠ 0) (h : a * b = c) : a = c / b := by rw [← h, mul_div_cancel_right₀ _ hb] #align euclidean_domain.eq_div_of_mul_eq_left EuclideanDomain.eq_div_of_mul_eq_left theorem eq_div_of_mul_eq_right {a b c : R} (ha : a ≠ 0) (h : a * b = c) : b = c / a := by rw [← h, mul_div_cancel_left₀ _ ha] #align euclidean_domain.eq_div_of_mul_eq_right EuclideanDomain.eq_div_of_mul_eq_right theorem mul_div_assoc (x : R) {y z : R} (h : z ∣ y) : x * y / z = x * (y / z) := by by_cases hz : z = 0 · subst hz rw [div_zero, div_zero, mul_zero] rcases h with ⟨p, rfl⟩ rw [mul_div_cancel_left₀ _ hz, mul_left_comm, mul_div_cancel_left₀ _ hz] #align euclidean_domain.mul_div_assoc EuclideanDomain.mul_div_assoc protected theorem mul_div_cancel' {a b : R} (hb : b ≠ 0) (hab : b ∣ a) : b * (a / b) = a := by rw [← mul_div_assoc _ hab, mul_div_cancel_left₀ _ hb] #align euclidean_domain.mul_div_cancel' EuclideanDomain.mul_div_cancel' -- This generalizes `Int.div_one`, see note [simp-normal form] @[simp] theorem div_one (p : R) : p / 1 = p := (EuclideanDomain.eq_div_of_mul_eq_left (one_ne_zero' R) (mul_one p)).symm #align euclidean_domain.div_one EuclideanDomain.div_one theorem div_dvd_of_dvd {p q : R} (hpq : q ∣ p) : p / q ∣ p := by by_cases hq : q = 0 · rw [hq, zero_dvd_iff] at hpq rw [hpq] exact dvd_zero _ use q rw [mul_comm, ← EuclideanDomain.mul_div_assoc _ hpq, mul_comm, mul_div_cancel_right₀ _ hq] #align euclidean_domain.div_dvd_of_dvd EuclideanDomain.div_dvd_of_dvd
Mathlib/Algebra/EuclideanDomain/Basic.lean
123
128
theorem dvd_div_of_mul_dvd {a b c : R} (h : a * b ∣ c) : b ∣ c / a := by
rcases eq_or_ne a 0 with (rfl | ha) · simp only [div_zero, dvd_zero] rcases h with ⟨d, rfl⟩ refine ⟨d, ?_⟩ rw [mul_assoc, mul_div_cancel_left₀ _ ha]
import Mathlib.Analysis.Convolution import Mathlib.Analysis.Calculus.BumpFunction.Normed import Mathlib.MeasureTheory.Integral.Average import Mathlib.MeasureTheory.Covering.Differentiation import Mathlib.MeasureTheory.Covering.BesicovitchVectorSpace import Mathlib.MeasureTheory.Measure.Haar.Unique #align_import analysis.convolution from "leanprover-community/mathlib"@"8905e5ed90859939681a725b00f6063e65096d95" universe uG uE' open ContinuousLinearMap Metric MeasureTheory Filter Function Measure Set open scoped Convolution Topology namespace ContDiffBump variable {G : Type uG} {E' : Type uE'} [NormedAddCommGroup E'] {g : G → E'} [MeasurableSpace G] {μ : MeasureTheory.Measure G} [NormedSpace ℝ E'] [NormedAddCommGroup G] [NormedSpace ℝ G] [HasContDiffBump G] [CompleteSpace E'] {φ : ContDiffBump (0 : G)} {x₀ : G} theorem convolution_eq_right {x₀ : G} (hg : ∀ x ∈ ball x₀ φ.rOut, g x = g x₀) : (φ ⋆[lsmul ℝ ℝ, μ] g : G → E') x₀ = integral μ φ • g x₀ := by simp_rw [convolution_eq_right' _ φ.support_eq.subset hg, lsmul_apply, integral_smul_const] #align cont_diff_bump.convolution_eq_right ContDiffBump.convolution_eq_right variable [BorelSpace G] variable [IsLocallyFiniteMeasure μ] [μ.IsOpenPosMeasure] variable [FiniteDimensional ℝ G]
Mathlib/Analysis/Calculus/BumpFunction/Convolution.lean
65
68
theorem normed_convolution_eq_right {x₀ : G} (hg : ∀ x ∈ ball x₀ φ.rOut, g x = g x₀) : (φ.normed μ ⋆[lsmul ℝ ℝ, μ] g : G → E') x₀ = g x₀ := by
rw [convolution_eq_right' _ φ.support_normed_eq.subset hg] exact integral_normed_smul φ μ (g x₀)
import Mathlib.Analysis.Calculus.ContDiff.Basic import Mathlib.Analysis.Calculus.Deriv.Linear import Mathlib.Analysis.Complex.Conformal import Mathlib.Analysis.Calculus.Conformal.NormedSpace #align_import analysis.complex.real_deriv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" section RealDerivOfComplex open Complex variable {e : ℂ → ℂ} {e' : ℂ} {z : ℝ} theorem HasStrictDerivAt.real_of_complex (h : HasStrictDerivAt e e' z) : HasStrictDerivAt (fun x : ℝ => (e x).re) e'.re z := by have A : HasStrictFDerivAt ((↑) : ℝ → ℂ) ofRealCLM z := ofRealCLM.hasStrictFDerivAt have B : HasStrictFDerivAt e ((ContinuousLinearMap.smulRight 1 e' : ℂ →L[ℂ] ℂ).restrictScalars ℝ) (ofRealCLM z) := h.hasStrictFDerivAt.restrictScalars ℝ have C : HasStrictFDerivAt re reCLM (e (ofRealCLM z)) := reCLM.hasStrictFDerivAt -- Porting note: this should be by: -- simpa using (C.comp z (B.comp z A)).hasStrictDerivAt -- but for some reason simp can not use `ContinuousLinearMap.comp_apply` convert (C.comp z (B.comp z A)).hasStrictDerivAt rw [ContinuousLinearMap.comp_apply, ContinuousLinearMap.comp_apply] simp #align has_strict_deriv_at.real_of_complex HasStrictDerivAt.real_of_complex theorem HasDerivAt.real_of_complex (h : HasDerivAt e e' z) : HasDerivAt (fun x : ℝ => (e x).re) e'.re z := by have A : HasFDerivAt ((↑) : ℝ → ℂ) ofRealCLM z := ofRealCLM.hasFDerivAt have B : HasFDerivAt e ((ContinuousLinearMap.smulRight 1 e' : ℂ →L[ℂ] ℂ).restrictScalars ℝ) (ofRealCLM z) := h.hasFDerivAt.restrictScalars ℝ have C : HasFDerivAt re reCLM (e (ofRealCLM z)) := reCLM.hasFDerivAt -- Porting note: this should be by: -- simpa using (C.comp z (B.comp z A)).hasStrictDerivAt -- but for some reason simp can not use `ContinuousLinearMap.comp_apply` convert (C.comp z (B.comp z A)).hasDerivAt rw [ContinuousLinearMap.comp_apply, ContinuousLinearMap.comp_apply] simp #align has_deriv_at.real_of_complex HasDerivAt.real_of_complex theorem ContDiffAt.real_of_complex {n : ℕ∞} (h : ContDiffAt ℂ n e z) : ContDiffAt ℝ n (fun x : ℝ => (e x).re) z := by have A : ContDiffAt ℝ n ((↑) : ℝ → ℂ) z := ofRealCLM.contDiff.contDiffAt have B : ContDiffAt ℝ n e z := h.restrict_scalars ℝ have C : ContDiffAt ℝ n re (e z) := reCLM.contDiff.contDiffAt exact C.comp z (B.comp z A) #align cont_diff_at.real_of_complex ContDiffAt.real_of_complex theorem ContDiff.real_of_complex {n : ℕ∞} (h : ContDiff ℂ n e) : ContDiff ℝ n fun x : ℝ => (e x).re := contDiff_iff_contDiffAt.2 fun _ => h.contDiffAt.real_of_complex #align cont_diff.real_of_complex ContDiff.real_of_complex variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] theorem HasStrictDerivAt.complexToReal_fderiv' {f : ℂ → E} {x : ℂ} {f' : E} (h : HasStrictDerivAt f f' x) : HasStrictFDerivAt f (reCLM.smulRight f' + I • imCLM.smulRight f') x := by simpa only [Complex.restrictScalars_one_smulRight'] using h.hasStrictFDerivAt.restrictScalars ℝ #align has_strict_deriv_at.complex_to_real_fderiv' HasStrictDerivAt.complexToReal_fderiv'
Mathlib/Analysis/Complex/RealDeriv.lean
106
108
theorem HasDerivAt.complexToReal_fderiv' {f : ℂ → E} {x : ℂ} {f' : E} (h : HasDerivAt f f' x) : HasFDerivAt f (reCLM.smulRight f' + I • imCLM.smulRight f') x := by
simpa only [Complex.restrictScalars_one_smulRight'] using h.hasFDerivAt.restrictScalars ℝ
import Mathlib.Data.Finsupp.Lex import Mathlib.Data.Finsupp.Multiset import Mathlib.Order.GameAdd #align_import logic.hydra from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded" namespace Relation open Multiset Prod variable {α : Type*} def CutExpand (r : α → α → Prop) (s' s : Multiset α) : Prop := ∃ (t : Multiset α) (a : α), (∀ a' ∈ t, r a' a) ∧ s' + {a} = s + t #align relation.cut_expand Relation.CutExpand variable {r : α → α → Prop} theorem cutExpand_le_invImage_lex [DecidableEq α] [IsIrrefl α r] : CutExpand r ≤ InvImage (Finsupp.Lex (rᶜ ⊓ (· ≠ ·)) (· < ·)) toFinsupp := by rintro s t ⟨u, a, hr, he⟩ replace hr := fun a' ↦ mt (hr a') classical refine ⟨a, fun b h ↦ ?_, ?_⟩ <;> simp_rw [toFinsupp_apply] · apply_fun count b at he simpa only [count_add, count_singleton, if_neg h.2, add_zero, count_eq_zero.2 (hr b h.1)] using he · apply_fun count a at he simp only [count_add, count_singleton_self, count_eq_zero.2 (hr _ (irrefl_of r a)), add_zero] at he exact he ▸ Nat.lt_succ_self _ #align relation.cut_expand_le_inv_image_lex Relation.cutExpand_le_invImage_lex theorem cutExpand_singleton {s x} (h : ∀ x' ∈ s, r x' x) : CutExpand r s {x} := ⟨s, x, h, add_comm s _⟩ #align relation.cut_expand_singleton Relation.cutExpand_singleton theorem cutExpand_singleton_singleton {x' x} (h : r x' x) : CutExpand r {x'} {x} := cutExpand_singleton fun a h ↦ by rwa [mem_singleton.1 h] #align relation.cut_expand_singleton_singleton Relation.cutExpand_singleton_singleton theorem cutExpand_add_left {t u} (s) : CutExpand r (s + t) (s + u) ↔ CutExpand r t u := exists₂_congr fun _ _ ↦ and_congr Iff.rfl <| by rw [add_assoc, add_assoc, add_left_cancel_iff] #align relation.cut_expand_add_left Relation.cutExpand_add_left theorem cutExpand_iff [DecidableEq α] [IsIrrefl α r] {s' s : Multiset α} : CutExpand r s' s ↔ ∃ (t : Multiset α) (a : α), (∀ a' ∈ t, r a' a) ∧ a ∈ s ∧ s' = s.erase a + t := by simp_rw [CutExpand, add_singleton_eq_iff] refine exists₂_congr fun t a ↦ ⟨?_, ?_⟩ · rintro ⟨ht, ha, rfl⟩ obtain h | h := mem_add.1 ha exacts [⟨ht, h, erase_add_left_pos t h⟩, (@irrefl α r _ a (ht a h)).elim] · rintro ⟨ht, h, rfl⟩ exact ⟨ht, mem_add.2 (Or.inl h), (erase_add_left_pos t h).symm⟩ #align relation.cut_expand_iff Relation.cutExpand_iff theorem not_cutExpand_zero [IsIrrefl α r] (s) : ¬CutExpand r s 0 := by classical rw [cutExpand_iff] rintro ⟨_, _, _, ⟨⟩, _⟩ #align relation.not_cut_expand_zero Relation.not_cutExpand_zero theorem cutExpand_fibration (r : α → α → Prop) : Fibration (GameAdd (CutExpand r) (CutExpand r)) (CutExpand r) fun s ↦ s.1 + s.2 := by rintro ⟨s₁, s₂⟩ s ⟨t, a, hr, he⟩; dsimp at he ⊢ classical obtain ⟨ha, rfl⟩ := add_singleton_eq_iff.1 he rw [add_assoc, mem_add] at ha obtain h | h := ha · refine ⟨(s₁.erase a + t, s₂), GameAdd.fst ⟨t, a, hr, ?_⟩, ?_⟩ · rw [add_comm, ← add_assoc, singleton_add, cons_erase h] · rw [add_assoc s₁, erase_add_left_pos _ h, add_right_comm, add_assoc] · refine ⟨(s₁, (s₂ + t).erase a), GameAdd.snd ⟨t, a, hr, ?_⟩, ?_⟩ · rw [add_comm, singleton_add, cons_erase h] · rw [add_assoc, erase_add_right_pos _ h] #align relation.cut_expand_fibration Relation.cutExpand_fibration theorem acc_of_singleton [IsIrrefl α r] {s : Multiset α} (hs : ∀ a ∈ s, Acc (CutExpand r) {a}) : Acc (CutExpand r) s := by induction s using Multiset.induction with | empty => exact Acc.intro 0 fun s h ↦ (not_cutExpand_zero s h).elim | cons a s ihs => rw [← s.singleton_add a] rw [forall_mem_cons] at hs exact (hs.1.prod_gameAdd <| ihs fun a ha ↦ hs.2 a ha).of_fibration _ (cutExpand_fibration r) #align relation.acc_of_singleton Relation.acc_of_singleton
Mathlib/Logic/Hydra.lean
138
146
theorem _root_.Acc.cutExpand [IsIrrefl α r] {a : α} (hacc : Acc r a) : Acc (CutExpand r) {a} := by
induction' hacc with a h ih refine Acc.intro _ fun s ↦ ?_ classical simp only [cutExpand_iff, mem_singleton] rintro ⟨t, a, hr, rfl, rfl⟩ refine acc_of_singleton fun a' ↦ ?_ rw [erase_singleton, zero_add] exact ih a' ∘ hr a'
import Mathlib.Probability.Independence.Basic import Mathlib.Probability.Independence.Conditional #align_import probability.independence.zero_one from "leanprover-community/mathlib"@"2f8347015b12b0864dfaf366ec4909eb70c78740" open MeasureTheory MeasurableSpace open scoped MeasureTheory ENNReal namespace ProbabilityTheory variable {α Ω ι : Type*} {_mα : MeasurableSpace α} {s : ι → MeasurableSpace Ω} {m m0 : MeasurableSpace Ω} {κ : kernel α Ω} {μα : Measure α} {μ : Measure Ω} theorem kernel.measure_eq_zero_or_one_or_top_of_indepSet_self {t : Set Ω} (h_indep : kernel.IndepSet t t κ μα) : ∀ᵐ a ∂μα, κ a t = 0 ∨ κ a t = 1 ∨ κ a t = ∞ := by specialize h_indep t t (measurableSet_generateFrom (Set.mem_singleton t)) (measurableSet_generateFrom (Set.mem_singleton t)) filter_upwards [h_indep] with a ha by_cases h0 : κ a t = 0 · exact Or.inl h0 by_cases h_top : κ a t = ∞ · exact Or.inr (Or.inr h_top) rw [← one_mul (κ a (t ∩ t)), Set.inter_self, ENNReal.mul_eq_mul_right h0 h_top] at ha exact Or.inr (Or.inl ha.symm)
Mathlib/Probability/Independence/ZeroOne.lean
46
49
theorem measure_eq_zero_or_one_or_top_of_indepSet_self {t : Set Ω} (h_indep : IndepSet t t μ) : μ t = 0 ∨ μ t = 1 ∨ μ t = ∞ := by
simpa only [ae_dirac_eq, Filter.eventually_pure] using kernel.measure_eq_zero_or_one_or_top_of_indepSet_self h_indep
import Mathlib.Init.Function import Mathlib.Init.Order.Defs #align_import data.bool.basic from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23" namespace Bool @[deprecated (since := "2024-06-07")] alias decide_True := decide_true_eq_true #align bool.to_bool_true decide_true_eq_true @[deprecated (since := "2024-06-07")] alias decide_False := decide_false_eq_false #align bool.to_bool_false decide_false_eq_false #align bool.to_bool_coe Bool.decide_coe @[deprecated (since := "2024-06-07")] alias coe_decide := decide_eq_true_iff #align bool.coe_to_bool decide_eq_true_iff @[deprecated decide_eq_true_iff (since := "2024-06-07")] alias of_decide_iff := decide_eq_true_iff #align bool.of_to_bool_iff decide_eq_true_iff #align bool.tt_eq_to_bool_iff true_eq_decide_iff #align bool.ff_eq_to_bool_iff false_eq_decide_iff @[deprecated (since := "2024-06-07")] alias decide_not := decide_not #align bool.to_bool_not decide_not #align bool.to_bool_and Bool.decide_and #align bool.to_bool_or Bool.decide_or #align bool.to_bool_eq decide_eq_decide @[deprecated (since := "2024-06-07")] alias not_false' := false_ne_true #align bool.not_ff Bool.false_ne_true @[deprecated (since := "2024-06-07")] alias eq_iff_eq_true_iff := eq_iff_iff #align bool.default_bool Bool.default_bool theorem dichotomy (b : Bool) : b = false ∨ b = true := by cases b <;> simp #align bool.dichotomy Bool.dichotomy theorem forall_bool' {p : Bool → Prop} (b : Bool) : (∀ x, p x) ↔ p b ∧ p !b := ⟨fun h ↦ ⟨h _, h _⟩, fun ⟨h₁, h₂⟩ x ↦ by cases b <;> cases x <;> assumption⟩ @[simp] theorem forall_bool {p : Bool → Prop} : (∀ b, p b) ↔ p false ∧ p true := forall_bool' false #align bool.forall_bool Bool.forall_bool theorem exists_bool' {p : Bool → Prop} (b : Bool) : (∃ x, p x) ↔ p b ∨ p !b := ⟨fun ⟨x, hx⟩ ↦ by cases x <;> cases b <;> first | exact .inl ‹_› | exact .inr ‹_›, fun h ↦ by cases h <;> exact ⟨_, ‹_›⟩⟩ @[simp] theorem exists_bool {p : Bool → Prop} : (∃ b, p b) ↔ p false ∨ p true := exists_bool' false #align bool.exists_bool Bool.exists_bool #align bool.decidable_forall_bool Bool.instDecidableForallOfDecidablePred #align bool.decidable_exists_bool Bool.instDecidableExistsOfDecidablePred #align bool.cond_eq_ite Bool.cond_eq_ite #align bool.cond_to_bool Bool.cond_decide #align bool.cond_bnot Bool.cond_not theorem not_ne_id : not ≠ id := fun h ↦ false_ne_true <| congrFun h true #align bool.bnot_ne_id Bool.not_ne_id #align bool.coe_bool_iff Bool.coe_iff_coe @[deprecated (since := "2024-06-07")] alias eq_true_of_ne_false := eq_true_of_ne_false #align bool.eq_tt_of_ne_ff eq_true_of_ne_false @[deprecated (since := "2024-06-07")] alias eq_false_of_ne_true := eq_false_of_ne_true #align bool.eq_ff_of_ne_tt eq_true_of_ne_false #align bool.bor_comm Bool.or_comm #align bool.bor_assoc Bool.or_assoc #align bool.bor_left_comm Bool.or_left_comm theorem or_inl {a b : Bool} (H : a) : a || b := by simp [H] #align bool.bor_inl Bool.or_inl theorem or_inr {a b : Bool} (H : b) : a || b := by cases a <;> simp [H] #align bool.bor_inr Bool.or_inr #align bool.band_comm Bool.and_comm #align bool.band_assoc Bool.and_assoc #align bool.band_left_comm Bool.and_left_comm theorem and_elim_left : ∀ {a b : Bool}, a && b → a := by decide #align bool.band_elim_left Bool.and_elim_left
Mathlib/Data/Bool/Basic.lean
112
112
theorem and_intro : ∀ {a b : Bool}, a → b → a && b := by
decide
import Mathlib.Algebra.Homology.ComplexShape import Mathlib.CategoryTheory.Subobject.Limits import Mathlib.CategoryTheory.GradedObject import Mathlib.Algebra.Homology.ShortComplex.Basic #align_import algebra.homology.homological_complex from "leanprover-community/mathlib"@"88bca0ce5d22ebfd9e73e682e51d60ea13b48347" universe v u open CategoryTheory CategoryTheory.Category CategoryTheory.Limits variable {ι : Type*} variable (V : Type u) [Category.{v} V] [HasZeroMorphisms V] structure HomologicalComplex (c : ComplexShape ι) where X : ι → V d : ∀ i j, X i ⟶ X j shape : ∀ i j, ¬c.Rel i j → d i j = 0 := by aesop_cat d_comp_d' : ∀ i j k, c.Rel i j → c.Rel j k → d i j ≫ d j k = 0 := by aesop_cat #align homological_complex HomologicalComplex abbrev ChainComplex (α : Type*) [AddRightCancelSemigroup α] [One α] : Type _ := HomologicalComplex V (ComplexShape.down α) #align chain_complex ChainComplex abbrev CochainComplex (α : Type*) [AddRightCancelSemigroup α] [One α] : Type _ := HomologicalComplex V (ComplexShape.up α) #align cochain_complex CochainComplex namespace ChainComplex @[simp] theorem prev (α : Type*) [AddRightCancelSemigroup α] [One α] (i : α) : (ComplexShape.down α).prev i = i + 1 := (ComplexShape.down α).prev_eq' rfl #align chain_complex.prev ChainComplex.prev @[simp] theorem next (α : Type*) [AddGroup α] [One α] (i : α) : (ComplexShape.down α).next i = i - 1 := (ComplexShape.down α).next_eq' <| sub_add_cancel _ _ #align chain_complex.next ChainComplex.next @[simp]
Mathlib/Algebra/Homology/HomologicalComplex.lean
177
182
theorem next_nat_zero : (ComplexShape.down ℕ).next 0 = 0 := by
classical refine dif_neg ?_ push_neg intro apply Nat.noConfusion
import Mathlib.Algebra.Order.Ring.Nat import Mathlib.Algebra.Order.Monoid.WithTop #align_import data.nat.with_bot from "leanprover-community/mathlib"@"966e0cf0685c9cedf8a3283ac69eef4d5f2eaca2" namespace Nat namespace WithBot instance : WellFoundedRelation (WithBot ℕ) where rel := (· < ·) wf := IsWellFounded.wf
Mathlib/Data/Nat/WithBot.lean
27
32
theorem add_eq_zero_iff {n m : WithBot ℕ} : n + m = 0 ↔ n = 0 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩ repeat (· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.1⟩) · exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.2⟩ repeat erw [WithBot.coe_eq_coe] exact add_eq_zero_iff' (zero_le _) (zero_le _)
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Normed.Group.AddTorsor import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic import Mathlib.Analysis.NormedSpace.AffineIsometry #align_import geometry.euclidean.angle.unoriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open Real RealInnerProductSpace namespace EuclideanGeometry open InnerProductGeometry variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] {p p₀ p₁ p₂ : P} nonrec def angle (p1 p2 p3 : P) : ℝ := angle (p1 -ᵥ p2 : V) (p3 -ᵥ p2) #align euclidean_geometry.angle EuclideanGeometry.angle @[inherit_doc] scoped notation "∠" => EuclideanGeometry.angle theorem continuousAt_angle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) : ContinuousAt (fun y : P × P × P => ∠ y.1 y.2.1 y.2.2) x := by let f : P × P × P → V × V := fun y => (y.1 -ᵥ y.2.1, y.2.2 -ᵥ y.2.1) have hf1 : (f x).1 ≠ 0 := by simp [hx12] have hf2 : (f x).2 ≠ 0 := by simp [hx32] exact (InnerProductGeometry.continuousAt_angle hf1 hf2).comp ((continuous_fst.vsub continuous_snd.fst).prod_mk (continuous_snd.snd.vsub continuous_snd.fst)).continuousAt #align euclidean_geometry.continuous_at_angle EuclideanGeometry.continuousAt_angle @[simp] theorem _root_.AffineIsometry.angle_map {V₂ P₂ : Type*} [NormedAddCommGroup V₂] [InnerProductSpace ℝ V₂] [MetricSpace P₂] [NormedAddTorsor V₂ P₂] (f : P →ᵃⁱ[ℝ] P₂) (p₁ p₂ p₃ : P) : ∠ (f p₁) (f p₂) (f p₃) = ∠ p₁ p₂ p₃ := by simp_rw [angle, ← AffineIsometry.map_vsub, LinearIsometry.angle_map] #align affine_isometry.angle_map AffineIsometry.angle_map @[simp, norm_cast] theorem _root_.AffineSubspace.angle_coe {s : AffineSubspace ℝ P} (p₁ p₂ p₃ : s) : haveI : Nonempty s := ⟨p₁⟩ ∠ (p₁ : P) (p₂ : P) (p₃ : P) = ∠ p₁ p₂ p₃ := haveI : Nonempty s := ⟨p₁⟩ s.subtypeₐᵢ.angle_map p₁ p₂ p₃ #align affine_subspace.angle_coe AffineSubspace.angle_coe @[simp] theorem angle_const_vadd (v : V) (p₁ p₂ p₃ : P) : ∠ (v +ᵥ p₁) (v +ᵥ p₂) (v +ᵥ p₃) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.constVAdd ℝ P v).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_const_vadd EuclideanGeometry.angle_const_vadd @[simp] theorem angle_vadd_const (v₁ v₂ v₃ : V) (p : P) : ∠ (v₁ +ᵥ p) (v₂ +ᵥ p) (v₃ +ᵥ p) = ∠ v₁ v₂ v₃ := (AffineIsometryEquiv.vaddConst ℝ p).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_vadd_const EuclideanGeometry.angle_vadd_const @[simp] theorem angle_const_vsub (p p₁ p₂ p₃ : P) : ∠ (p -ᵥ p₁) (p -ᵥ p₂) (p -ᵥ p₃) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.constVSub ℝ p).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_const_vsub EuclideanGeometry.angle_const_vsub @[simp] theorem angle_vsub_const (p₁ p₂ p₃ p : P) : ∠ (p₁ -ᵥ p) (p₂ -ᵥ p) (p₃ -ᵥ p) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.vaddConst ℝ p).symm.toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_vsub_const EuclideanGeometry.angle_vsub_const @[simp] theorem angle_add_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ + v) (v₂ + v) (v₃ + v) = ∠ v₁ v₂ v₃ := angle_vadd_const _ _ _ _ #align euclidean_geometry.angle_add_const EuclideanGeometry.angle_add_const @[simp] theorem angle_const_add (v : V) (v₁ v₂ v₃ : V) : ∠ (v + v₁) (v + v₂) (v + v₃) = ∠ v₁ v₂ v₃ := angle_const_vadd _ _ _ _ #align euclidean_geometry.angle_const_add EuclideanGeometry.angle_const_add @[simp] theorem angle_sub_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ - v) (v₂ - v) (v₃ - v) = ∠ v₁ v₂ v₃ := by simpa only [vsub_eq_sub] using angle_vsub_const v₁ v₂ v₃ v #align euclidean_geometry.angle_sub_const EuclideanGeometry.angle_sub_const @[simp]
Mathlib/Geometry/Euclidean/Angle/Unoriented/Affine.lean
119
120
theorem angle_const_sub (v : V) (v₁ v₂ v₃ : V) : ∠ (v - v₁) (v - v₂) (v - v₃) = ∠ v₁ v₂ v₃ := by
simpa only [vsub_eq_sub] using angle_const_vsub v v₁ v₂ v₃
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *] #align cancel_factors.add_subst CancelDenoms.add_subst theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg] #align cancel_factors.sub_subst CancelDenoms.sub_subst theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by simp [*] #align cancel_factors.neg_subst CancelDenoms.neg_subst theorem pow_subst {α} [CommRing α] {n e1 t1 k l : α} {e2 : ℕ} (h1 : n * e1 = t1) (h2 : l * n ^ e2 = k) : k * (e1 ^ e2) = l * t1 ^ e2 := by rw [← h2, ← h1, mul_pow, mul_assoc] theorem inv_subst {α} [Field α] {n k e : α} (h2 : e ≠ 0) (h3 : n * e = k) : k * (e ⁻¹) = n := by rw [← div_eq_mul_inv, ← h3, mul_div_cancel_right₀ _ h2] theorem cancel_factors_lt {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) : (a < b) = (1 / gcd * (bd * a') < 1 / gcd * (ad * b')) := by rw [mul_lt_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_lt_mul_left] · exact mul_pos had hbd · exact one_div_pos.2 hgcd #align cancel_factors.cancel_factors_lt CancelDenoms.cancel_factors_lt theorem cancel_factors_le {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) : (a ≤ b) = (1 / gcd * (bd * a') ≤ 1 / gcd * (ad * b')) := by rw [mul_le_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_le_mul_left] · exact mul_pos had hbd · exact one_div_pos.2 hgcd #align cancel_factors.cancel_factors_le CancelDenoms.cancel_factors_le theorem cancel_factors_eq {α} [Field α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : ad ≠ 0) (hbd : bd ≠ 0) (hgcd : gcd ≠ 0) : (a = b) = (1 / gcd * (bd * a') = 1 / gcd * (ad * b')) := by rw [← ha, ← hb, ← mul_assoc bd, ← mul_assoc ad, mul_comm bd] ext; constructor · rintro rfl rfl · intro h simp only [← mul_assoc] at h refine mul_left_cancel₀ (mul_ne_zero ?_ ?_) h on_goal 1 => apply mul_ne_zero on_goal 1 => apply div_ne_zero · exact one_ne_zero all_goals assumption #align cancel_factors.cancel_factors_eq CancelDenoms.cancel_factors_eq
Mathlib/Tactic/CancelDenoms/Core.lean
105
109
theorem cancel_factors_ne {α} [Field α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : ad ≠ 0) (hbd : bd ≠ 0) (hgcd : gcd ≠ 0) : (a ≠ b) = (1 / gcd * (bd * a') ≠ 1 / gcd * (ad * b')) := by
classical rw [eq_iff_iff, not_iff_not, cancel_factors_eq ha hb had hbd hgcd]
import Mathlib.Algebra.Group.Pi.Basic import Mathlib.Order.Interval.Set.Basic import Mathlib.Order.Interval.Set.UnorderedInterval import Mathlib.Data.Set.Lattice #align_import data.set.intervals.pi from "leanprover-community/mathlib"@"e4bc74cbaf429d706cb9140902f7ca6c431e75a4" -- Porting note: Added, since dot notation no longer works on `Function.update` open Function variable {ι : Type*} {α : ι → Type*} namespace Set section PiPreorder variable [∀ i, Preorder (α i)] (x y : ∀ i, α i) @[simp] theorem pi_univ_Ici : (pi univ fun i ↦ Ici (x i)) = Ici x := ext fun y ↦ by simp [Pi.le_def] #align set.pi_univ_Ici Set.pi_univ_Ici @[simp] theorem pi_univ_Iic : (pi univ fun i ↦ Iic (x i)) = Iic x := ext fun y ↦ by simp [Pi.le_def] #align set.pi_univ_Iic Set.pi_univ_Iic @[simp] theorem pi_univ_Icc : (pi univ fun i ↦ Icc (x i) (y i)) = Icc x y := ext fun y ↦ by simp [Pi.le_def, forall_and] #align set.pi_univ_Icc Set.pi_univ_Icc theorem piecewise_mem_Icc {s : Set ι} [∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, α i} (h₁ : ∀ i ∈ s, f₁ i ∈ Icc (g₁ i) (g₂ i)) (h₂ : ∀ i ∉ s, f₂ i ∈ Icc (g₁ i) (g₂ i)) : s.piecewise f₁ f₂ ∈ Icc g₁ g₂ := ⟨le_piecewise (fun i hi ↦ (h₁ i hi).1) fun i hi ↦ (h₂ i hi).1, piecewise_le (fun i hi ↦ (h₁ i hi).2) fun i hi ↦ (h₂ i hi).2⟩ #align set.piecewise_mem_Icc Set.piecewise_mem_Icc theorem piecewise_mem_Icc' {s : Set ι} [∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, α i} (h₁ : f₁ ∈ Icc g₁ g₂) (h₂ : f₂ ∈ Icc g₁ g₂) : s.piecewise f₁ f₂ ∈ Icc g₁ g₂ := piecewise_mem_Icc (fun _ _ ↦ ⟨h₁.1 _, h₁.2 _⟩) fun _ _ ↦ ⟨h₂.1 _, h₂.2 _⟩ #align set.piecewise_mem_Icc' Set.piecewise_mem_Icc' variable [DecidableEq ι] open Function (update)
Mathlib/Order/Interval/Set/Pi.lean
90
98
theorem pi_univ_Ioc_update_left {x y : ∀ i, α i} {i₀ : ι} {m : α i₀} (hm : x i₀ ≤ m) : (pi univ fun i ↦ Ioc (update x i₀ m i) (y i)) = { z | m < z i₀ } ∩ pi univ fun i ↦ Ioc (x i) (y i) := by
have : Ioc m (y i₀) = Ioi m ∩ Ioc (x i₀) (y i₀) := by rw [← Ioi_inter_Iic, ← Ioi_inter_Iic, ← inter_assoc, inter_eq_self_of_subset_left (Ioi_subset_Ioi hm)] simp_rw [univ_pi_update i₀ _ _ fun i z ↦ Ioc z (y i), ← pi_inter_compl ({i₀} : Set ι), singleton_pi', ← inter_assoc, this] rfl
import Mathlib.Data.Nat.Squarefree import Mathlib.NumberTheory.Zsqrtd.QuadraticReciprocity import Mathlib.Tactic.LinearCombination #align_import number_theory.sum_two_squares from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" section NegOneSquare -- This could be formulated for a general integer `a` in place of `-1`, -- but it would not directly specialize to `-1`, -- because `((-1 : ℤ) : ZMod n)` is not the same as `(-1 : ZMod n)`. theorem ZMod.isSquare_neg_one_of_dvd {m n : ℕ} (hd : m ∣ n) (hs : IsSquare (-1 : ZMod n)) : IsSquare (-1 : ZMod m) := by let f : ZMod n →+* ZMod m := ZMod.castHom hd _ rw [← RingHom.map_one f, ← RingHom.map_neg] exact hs.map f #align zmod.is_square_neg_one_of_dvd ZMod.isSquare_neg_one_of_dvd theorem ZMod.isSquare_neg_one_mul {m n : ℕ} (hc : m.Coprime n) (hm : IsSquare (-1 : ZMod m)) (hn : IsSquare (-1 : ZMod n)) : IsSquare (-1 : ZMod (m * n)) := by have : IsSquare (-1 : ZMod m × ZMod n) := by rw [show (-1 : ZMod m × ZMod n) = ((-1 : ZMod m), (-1 : ZMod n)) from rfl] obtain ⟨x, hx⟩ := hm obtain ⟨y, hy⟩ := hn rw [hx, hy] exact ⟨(x, y), rfl⟩ simpa only [RingEquiv.map_neg_one] using this.map (ZMod.chineseRemainder hc).symm #align zmod.is_square_neg_one_mul ZMod.isSquare_neg_one_mul theorem Nat.Prime.mod_four_ne_three_of_dvd_isSquare_neg_one {p n : ℕ} (hpp : p.Prime) (hp : p ∣ n) (hs : IsSquare (-1 : ZMod n)) : p % 4 ≠ 3 := by obtain ⟨y, h⟩ := ZMod.isSquare_neg_one_of_dvd hp hs rw [← sq, eq_comm, show (-1 : ZMod p) = -1 ^ 2 by ring] at h haveI : Fact p.Prime := ⟨hpp⟩ exact ZMod.mod_four_ne_three_of_sq_eq_neg_sq' one_ne_zero h #align nat.prime.mod_four_ne_three_of_dvd_is_square_neg_one Nat.Prime.mod_four_ne_three_of_dvd_isSquare_neg_one
Mathlib/NumberTheory/SumTwoSquares.lean
108
120
theorem ZMod.isSquare_neg_one_iff {n : ℕ} (hn : Squarefree n) : IsSquare (-1 : ZMod n) ↔ ∀ {q : ℕ}, q.Prime → q ∣ n → q % 4 ≠ 3 := by
refine ⟨fun H q hqp hqd => hqp.mod_four_ne_three_of_dvd_isSquare_neg_one hqd H, fun H => ?_⟩ induction' n using induction_on_primes with p n hpp ih · exact False.elim (hn.ne_zero rfl) · exact ⟨0, by simp only [mul_zero, eq_iff_true_of_subsingleton]⟩ · haveI : Fact p.Prime := ⟨hpp⟩ have hcp : p.Coprime n := by by_contra hc exact hpp.not_unit (hn p <| mul_dvd_mul_left p <| hpp.dvd_iff_not_coprime.mpr hc) have hp₁ := ZMod.exists_sq_eq_neg_one_iff.mpr (H hpp (dvd_mul_right p n)) exact ZMod.isSquare_neg_one_mul hcp hp₁ (ih hn.of_mul_right fun hqp hqd => H hqp <| dvd_mul_of_dvd_right hqd _)
import Mathlib.Algebra.Module.Zlattice.Basic import Mathlib.NumberTheory.NumberField.Embeddings import Mathlib.NumberTheory.NumberField.FractionalIdeal #align_import number_theory.number_field.canonical_embedding from "leanprover-community/mathlib"@"60da01b41bbe4206f05d34fd70c8dd7498717a30" variable (K : Type*) [Field K] namespace NumberField.mixedEmbedding open NumberField NumberField.InfinitePlace FiniteDimensional Finset local notation "E" K => ({w : InfinitePlace K // IsReal w} → ℝ) × ({w : InfinitePlace K // IsComplex w} → ℂ) noncomputable def _root_.NumberField.mixedEmbedding : K →+* (E K) := RingHom.prod (Pi.ringHom fun w => embedding_of_isReal w.prop) (Pi.ringHom fun w => w.val.embedding) instance [NumberField K] : Nontrivial (E K) := by obtain ⟨w⟩ := (inferInstance : Nonempty (InfinitePlace K)) obtain hw | hw := w.isReal_or_isComplex · have : Nonempty {w : InfinitePlace K // IsReal w} := ⟨⟨w, hw⟩⟩ exact nontrivial_prod_left · have : Nonempty {w : InfinitePlace K // IsComplex w} := ⟨⟨w, hw⟩⟩ exact nontrivial_prod_right protected theorem finrank [NumberField K] : finrank ℝ (E K) = finrank ℚ K := by classical rw [finrank_prod, finrank_pi, finrank_pi_fintype, Complex.finrank_real_complex, sum_const, card_univ, ← NrRealPlaces, ← NrComplexPlaces, ← card_real_embeddings, Algebra.id.smul_eq_mul, mul_comm, ← card_complex_embeddings, ← NumberField.Embeddings.card K ℂ, Fintype.card_subtype_compl, Nat.add_sub_of_le (Fintype.card_subtype_le _)] theorem _root_.NumberField.mixedEmbedding_injective [NumberField K] : Function.Injective (NumberField.mixedEmbedding K) := by exact RingHom.injective _ noncomputable section norm open scoped Classical variable {K} def normAtPlace (w : InfinitePlace K) : (E K) →*₀ ℝ where toFun x := if hw : IsReal w then ‖x.1 ⟨w, hw⟩‖ else ‖x.2 ⟨w, not_isReal_iff_isComplex.mp hw⟩‖ map_zero' := by simp map_one' := by simp map_mul' x y := by split_ifs <;> simp theorem normAtPlace_nonneg (w : InfinitePlace K) (x : E K) : 0 ≤ normAtPlace w x := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk] split_ifs <;> exact norm_nonneg _ theorem normAtPlace_neg (w : InfinitePlace K) (x : E K) : normAtPlace w (- x) = normAtPlace w x := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk] split_ifs <;> simp theorem normAtPlace_add_le (w : InfinitePlace K) (x y : E K) : normAtPlace w (x + y) ≤ normAtPlace w x + normAtPlace w y := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk] split_ifs <;> exact norm_add_le _ _ theorem normAtPlace_smul (w : InfinitePlace K) (x : E K) (c : ℝ) : normAtPlace w (c • x) = |c| * normAtPlace w x := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk] split_ifs · rw [Prod.smul_fst, Pi.smul_apply, norm_smul, Real.norm_eq_abs] · rw [Prod.smul_snd, Pi.smul_apply, norm_smul, Real.norm_eq_abs, Complex.norm_eq_abs]
Mathlib/NumberTheory/NumberField/CanonicalEmbedding/Basic.lean
281
284
theorem normAtPlace_real (w : InfinitePlace K) (c : ℝ) : normAtPlace w ((fun _ ↦ c, fun _ ↦ c) : (E K)) = |c| := by
rw [show ((fun _ ↦ c, fun _ ↦ c) : (E K)) = c • 1 by ext <;> simp, normAtPlace_smul, map_one, mul_one]
import Mathlib.Data.Set.Image #align_import order.directed from "leanprover-community/mathlib"@"ffde2d8a6e689149e44fd95fa862c23a57f8c780" open Function universe u v w variable {α : Type u} {β : Type v} {ι : Sort w} (r r' s : α → α → Prop) local infixl:50 " ≼ " => r def Directed (f : ι → α) := ∀ x y, ∃ z, f x ≼ f z ∧ f y ≼ f z #align directed Directed def DirectedOn (s : Set α) := ∀ x ∈ s, ∀ y ∈ s, ∃ z ∈ s, x ≼ z ∧ y ≼ z #align directed_on DirectedOn variable {r r'} theorem directedOn_iff_directed {s} : @DirectedOn α r s ↔ Directed r (Subtype.val : s → α) := by simp only [DirectedOn, Directed, Subtype.exists, exists_and_left, exists_prop, Subtype.forall] exact forall₂_congr fun x _ => by simp [And.comm, and_assoc] #align directed_on_iff_directed directedOn_iff_directed alias ⟨DirectedOn.directed_val, _⟩ := directedOn_iff_directed #align directed_on.directed_coe DirectedOn.directed_val theorem directedOn_range {f : ι → α} : Directed r f ↔ DirectedOn r (Set.range f) := by simp_rw [Directed, DirectedOn, Set.forall_mem_range, Set.exists_range_iff] #align directed_on_range directedOn_range -- Porting note: This alias was misplaced in `order/compactly_generated.lean` in mathlib3 alias ⟨Directed.directedOn_range, _⟩ := directedOn_range #align directed.directed_on_range Directed.directedOn_range -- Porting note: `attribute [protected]` doesn't work -- attribute [protected] Directed.directedOn_range theorem directedOn_image {s : Set β} {f : β → α} : DirectedOn r (f '' s) ↔ DirectedOn (f ⁻¹'o r) s := by simp only [DirectedOn, Set.mem_image, exists_exists_and_eq_and, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂, Order.Preimage] #align directed_on_image directedOn_image theorem DirectedOn.mono' {s : Set α} (hs : DirectedOn r s) (h : ∀ ⦃a⦄, a ∈ s → ∀ ⦃b⦄, b ∈ s → r a b → r' a b) : DirectedOn r' s := fun _ hx _ hy => let ⟨z, hz, hxz, hyz⟩ := hs _ hx _ hy ⟨z, hz, h hx hz hxz, h hy hz hyz⟩ #align directed_on.mono' DirectedOn.mono' theorem DirectedOn.mono {s : Set α} (h : DirectedOn r s) (H : ∀ ⦃a b⦄, r a b → r' a b) : DirectedOn r' s := h.mono' fun _ _ _ _ h ↦ H h #align directed_on.mono DirectedOn.mono theorem directed_comp {ι} {f : ι → β} {g : β → α} : Directed r (g ∘ f) ↔ Directed (g ⁻¹'o r) f := Iff.rfl #align directed_comp directed_comp theorem Directed.mono {s : α → α → Prop} {ι} {f : ι → α} (H : ∀ a b, r a b → s a b) (h : Directed r f) : Directed s f := fun a b => let ⟨c, h₁, h₂⟩ := h a b ⟨c, H _ _ h₁, H _ _ h₂⟩ #align directed.mono Directed.mono -- Porting note: due to some interaction with the local notation, `r` became explicit here in lean3 theorem Directed.mono_comp (r : α → α → Prop) {ι} {rb : β → β → Prop} {g : α → β} {f : ι → α} (hg : ∀ ⦃x y⦄, r x y → rb (g x) (g y)) (hf : Directed r f) : Directed rb (g ∘ f) := directed_comp.2 <| hf.mono hg #align directed.mono_comp Directed.mono_comp theorem directedOn_of_sup_mem [SemilatticeSup α] {S : Set α} (H : ∀ ⦃i j⦄, i ∈ S → j ∈ S → i ⊔ j ∈ S) : DirectedOn (· ≤ ·) S := fun a ha b hb => ⟨a ⊔ b, H ha hb, le_sup_left, le_sup_right⟩ #align directed_on_of_sup_mem directedOn_of_sup_mem
Mathlib/Order/Directed.lean
116
128
theorem Directed.extend_bot [Preorder α] [OrderBot α] {e : ι → β} {f : ι → α} (hf : Directed (· ≤ ·) f) (he : Function.Injective e) : Directed (· ≤ ·) (Function.extend e f ⊥) := by
intro a b rcases (em (∃ i, e i = a)).symm with (ha | ⟨i, rfl⟩) · use b simp [Function.extend_apply' _ _ _ ha] rcases (em (∃ i, e i = b)).symm with (hb | ⟨j, rfl⟩) · use e i simp [Function.extend_apply' _ _ _ hb] rcases hf i j with ⟨k, hi, hj⟩ use e k simp only [he.extend_apply, *, true_and_iff]
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.Finset.NatAntidiagonal import Mathlib.Data.Nat.GCD.Basic import Mathlib.Init.Data.Nat.Lemmas import Mathlib.Logic.Function.Iterate import Mathlib.Tactic.Ring import Mathlib.Tactic.Zify #align_import data.nat.fib from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" namespace Nat -- Porting note: Lean cannot find pp_nodot at the time of this port. -- @[pp_nodot] def fib (n : ℕ) : ℕ := ((fun p : ℕ × ℕ => (p.snd, p.fst + p.snd))^[n] (0, 1)).fst #align nat.fib Nat.fib @[simp] theorem fib_zero : fib 0 = 0 := rfl #align nat.fib_zero Nat.fib_zero @[simp] theorem fib_one : fib 1 = 1 := rfl #align nat.fib_one Nat.fib_one @[simp] theorem fib_two : fib 2 = 1 := rfl #align nat.fib_two Nat.fib_two
Mathlib/Data/Nat/Fib/Basic.lean
87
88
theorem fib_add_two {n : ℕ} : fib (n + 2) = fib n + fib (n + 1) := by
simp [fib, Function.iterate_succ_apply']
import Mathlib.MeasureTheory.Group.Measure import Mathlib.MeasureTheory.Integral.IntegrableOn import Mathlib.MeasureTheory.Function.LocallyIntegrable open Asymptotics MeasureTheory Set Filter variable {α E F : Type*} [MeasurableSpace α] [NormedAddCommGroup E] [NormedAddCommGroup F] {f : α → E} {g : α → F} {a b : α} {μ : Measure α} {l : Filter α} theorem _root_.Asymptotics.IsBigO.integrableAtFilter [IsMeasurablyGenerated l] (hf : f =O[l] g) (hfm : StronglyMeasurableAtFilter f l μ) (hg : IntegrableAtFilter g l μ) : IntegrableAtFilter f l μ := by obtain ⟨C, hC⟩ := hf.bound obtain ⟨s, hsl, hsm, hfg, hf, hg⟩ := (hC.smallSets.and <| hfm.eventually.and hg.eventually).exists_measurable_mem_of_smallSets refine ⟨s, hsl, (hg.norm.const_mul C).mono hf ?_⟩ refine (ae_restrict_mem hsm).mono fun x hx ↦ ?_ exact (hfg x hx).trans (le_abs_self _) theorem _root_.Asymptotics.IsBigO.integrable (hfm : AEStronglyMeasurable f μ) (hf : f =O[⊤] g) (hg : Integrable g μ) : Integrable f μ := by rewrite [← integrableAtFilter_top] at * exact hf.integrableAtFilter ⟨univ, univ_mem, hfm.restrict⟩ hg variable [TopologicalSpace α] [SecondCountableTopology α] namespace MeasureTheory theorem LocallyIntegrable.integrable_of_isBigO_cocompact [IsMeasurablyGenerated (cocompact α)] (hf : LocallyIntegrable f μ) (ho : f =O[cocompact α] g) (hg : IntegrableAtFilter g (cocompact α) μ) : Integrable f μ := by refine integrable_iff_integrableAtFilter_cocompact.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter section LinearOrder variable [LinearOrder α] [CompactIccSpace α] {g' : α → F} theorem LocallyIntegrable.integrable_of_isBigO_atBot_atTop [IsMeasurablyGenerated (atBot (α := α))] [IsMeasurablyGenerated (atTop (α := α))] (hf : LocallyIntegrable f μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) (ho' : f =O[atTop] g') (hg' : IntegrableAtFilter g' atTop μ) : Integrable f μ := by refine integrable_iff_integrableAtFilter_atBot_atTop.mpr ⟨⟨ho.integrableAtFilter ?_ hg, ho'.integrableAtFilter ?_ hg'⟩, hf⟩ all_goals exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter theorem LocallyIntegrableOn.integrableOn_of_isBigO_atBot [IsMeasurablyGenerated (atBot (α := α))] (hf : LocallyIntegrableOn f (Iic a) μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) : IntegrableOn f (Iic a) μ := by refine integrableOn_Iic_iff_integrableAtFilter_atBot.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact ⟨Iic a, Iic_mem_atBot a, hf.aestronglyMeasurable⟩
Mathlib/MeasureTheory/Integral/Asymptotics.lean
89
93
theorem LocallyIntegrableOn.integrableOn_of_isBigO_atTop [IsMeasurablyGenerated (atTop (α := α))] (hf : LocallyIntegrableOn f (Ici a) μ) (ho : f =O[atTop] g) (hg : IntegrableAtFilter g atTop μ) : IntegrableOn f (Ici a) μ := by
refine integrableOn_Ici_iff_integrableAtFilter_atTop.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact ⟨Ici a, Ici_mem_atTop a, hf.aestronglyMeasurable⟩
import Mathlib.Order.Interval.Multiset #align_import data.nat.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29" -- TODO -- assert_not_exists Ring open Finset Nat variable (a b c : ℕ) namespace Nat instance instLocallyFiniteOrder : LocallyFiniteOrder ℕ where finsetIcc a b := ⟨List.range' a (b + 1 - a), List.nodup_range' _ _⟩ finsetIco a b := ⟨List.range' a (b - a), List.nodup_range' _ _⟩ finsetIoc a b := ⟨List.range' (a + 1) (b - a), List.nodup_range' _ _⟩ finsetIoo a b := ⟨List.range' (a + 1) (b - a - 1), List.nodup_range' _ _⟩ finset_mem_Icc a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega finset_mem_Ico a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega finset_mem_Ioc a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega finset_mem_Ioo a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega theorem Icc_eq_range' : Icc a b = ⟨List.range' a (b + 1 - a), List.nodup_range' _ _⟩ := rfl #align nat.Icc_eq_range' Nat.Icc_eq_range' theorem Ico_eq_range' : Ico a b = ⟨List.range' a (b - a), List.nodup_range' _ _⟩ := rfl #align nat.Ico_eq_range' Nat.Ico_eq_range' theorem Ioc_eq_range' : Ioc a b = ⟨List.range' (a + 1) (b - a), List.nodup_range' _ _⟩ := rfl #align nat.Ioc_eq_range' Nat.Ioc_eq_range' theorem Ioo_eq_range' : Ioo a b = ⟨List.range' (a + 1) (b - a - 1), List.nodup_range' _ _⟩ := rfl #align nat.Ioo_eq_range' Nat.Ioo_eq_range' theorem uIcc_eq_range' : uIcc a b = ⟨List.range' (min a b) (max a b + 1 - min a b), List.nodup_range' _ _⟩ := rfl #align nat.uIcc_eq_range' Nat.uIcc_eq_range' theorem Iio_eq_range : Iio = range := by ext b x rw [mem_Iio, mem_range] #align nat.Iio_eq_range Nat.Iio_eq_range @[simp] theorem Ico_zero_eq_range : Ico 0 = range := by rw [← Nat.bot_eq_zero, ← Iio_eq_Ico, Iio_eq_range] #align nat.Ico_zero_eq_range Nat.Ico_zero_eq_range lemma range_eq_Icc_zero_sub_one (n : ℕ) (hn : n ≠ 0): range n = Icc 0 (n - 1) := by ext b simp_all only [mem_Icc, zero_le, true_and, mem_range] exact lt_iff_le_pred (zero_lt_of_ne_zero hn) theorem _root_.Finset.range_eq_Ico : range = Ico 0 := Ico_zero_eq_range.symm #align finset.range_eq_Ico Finset.range_eq_Ico @[simp] theorem card_Icc : (Icc a b).card = b + 1 - a := List.length_range' _ _ _ #align nat.card_Icc Nat.card_Icc @[simp] theorem card_Ico : (Ico a b).card = b - a := List.length_range' _ _ _ #align nat.card_Ico Nat.card_Ico @[simp] theorem card_Ioc : (Ioc a b).card = b - a := List.length_range' _ _ _ #align nat.card_Ioc Nat.card_Ioc @[simp] theorem card_Ioo : (Ioo a b).card = b - a - 1 := List.length_range' _ _ _ #align nat.card_Ioo Nat.card_Ioo @[simp] theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 := (card_Icc _ _).trans $ by rw [← Int.natCast_inj, sup_eq_max, inf_eq_min, Int.ofNat_sub] <;> omega #align nat.card_uIcc Nat.card_uIcc @[simp] lemma card_Iic : (Iic b).card = b + 1 := by rw [Iic_eq_Icc, card_Icc, Nat.bot_eq_zero, Nat.sub_zero] #align nat.card_Iic Nat.card_Iic @[simp] theorem card_Iio : (Iio b).card = b := by rw [Iio_eq_Ico, card_Ico, Nat.bot_eq_zero, Nat.sub_zero] #align nat.card_Iio Nat.card_Iio -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIcc : Fintype.card (Set.Icc a b) = b + 1 - a := by rw [Fintype.card_ofFinset, card_Icc] #align nat.card_fintype_Icc Nat.card_fintypeIcc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIco : Fintype.card (Set.Ico a b) = b - a := by rw [Fintype.card_ofFinset, card_Ico] #align nat.card_fintype_Ico Nat.card_fintypeIco -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIoc : Fintype.card (Set.Ioc a b) = b - a := by rw [Fintype.card_ofFinset, card_Ioc] #align nat.card_fintype_Ioc Nat.card_fintypeIoc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIoo : Fintype.card (Set.Ioo a b) = b - a - 1 := by rw [Fintype.card_ofFinset, card_Ioo] #align nat.card_fintype_Ioo Nat.card_fintypeIoo -- Porting note (#10618): simp can prove this -- @[simp]
Mathlib/Order/Interval/Finset/Nat.lean
138
139
theorem card_fintypeIic : Fintype.card (Set.Iic b) = b + 1 := by
rw [Fintype.card_ofFinset, card_Iic]
import Mathlib.Data.Finset.Lattice import Mathlib.Data.Set.Sigma #align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Function Multiset variable {ι : Type*} namespace Finset section SigmaLift variable {α β γ : ι → Type*} [DecidableEq ι] def sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) : Finset (Sigma γ) := dite (a.1 = b.1) (fun h => (f (h ▸ a.2) b.2).map <| Embedding.sigmaMk _) fun _ => ∅ #align finset.sigma_lift Finset.sigmaLift theorem mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) (x : Sigma γ) : x ∈ sigmaLift f a b ↔ ∃ (ha : a.1 = x.1) (hb : b.1 = x.1), x.2 ∈ f (ha ▸ a.2) (hb ▸ b.2) := by obtain ⟨⟨i, a⟩, j, b⟩ := a, b obtain rfl | h := Decidable.eq_or_ne i j · constructor · simp_rw [sigmaLift] simp only [dite_eq_ite, ite_true, mem_map, Embedding.sigmaMk_apply, forall_exists_index, and_imp] rintro x hx rfl exact ⟨rfl, rfl, hx⟩ · rintro ⟨⟨⟩, ⟨⟩, hx⟩ rw [sigmaLift, dif_pos rfl, mem_map] exact ⟨_, hx, by simp [Sigma.ext_iff]⟩ · rw [sigmaLift, dif_neg h] refine iff_of_false (not_mem_empty _) ?_ rintro ⟨⟨⟩, ⟨⟩, _⟩ exact h rfl #align finset.mem_sigma_lift Finset.mem_sigmaLift theorem mk_mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (i : ι) (a : α i) (b : β i) (x : γ i) : (⟨i, x⟩ : Sigma γ) ∈ sigmaLift f ⟨i, a⟩ ⟨i, b⟩ ↔ x ∈ f a b := by rw [sigmaLift, dif_pos rfl, mem_map] refine ⟨?_, fun hx => ⟨_, hx, rfl⟩⟩ rintro ⟨x, hx, _, rfl⟩ exact hx #align finset.mk_mem_sigma_lift Finset.mk_mem_sigmaLift
Mathlib/Data/Finset/Sigma.lean
184
187
theorem not_mem_sigmaLift_of_ne_left (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) (x : Sigma γ) (h : a.1 ≠ x.1) : x ∉ sigmaLift f a b := by
rw [mem_sigmaLift] exact fun H => h H.fst
import Mathlib.MeasureTheory.Constructions.Prod.Basic import Mathlib.MeasureTheory.Integral.DominatedConvergence import Mathlib.MeasureTheory.Integral.SetIntegral #align_import measure_theory.constructions.prod.integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open scoped Classical Topology ENNReal MeasureTheory open Set Function Real ENNReal open MeasureTheory MeasurableSpace MeasureTheory.Measure open TopologicalSpace open Filter hiding prod_eq map variable {α α' β β' γ E : Type*} variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β'] variable [MeasurableSpace γ] variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ} variable [NormedAddCommGroup E] theorem measurableSet_integrable [SigmaFinite ν] ⦃f : α → β → E⦄ (hf : StronglyMeasurable (uncurry f)) : MeasurableSet {x | Integrable (f x) ν} := by simp_rw [Integrable, hf.of_uncurry_left.aestronglyMeasurable, true_and_iff] exact measurableSet_lt (Measurable.lintegral_prod_right hf.ennnorm) measurable_const #align measurable_set_integrable measurableSet_integrable section variable [NormedSpace ℝ E] theorem MeasureTheory.StronglyMeasurable.integral_prod_right [SigmaFinite ν] ⦃f : α → β → E⦄ (hf : StronglyMeasurable (uncurry f)) : StronglyMeasurable fun x => ∫ y, f x y ∂ν := by by_cases hE : CompleteSpace E; swap; · simp [integral, hE, stronglyMeasurable_const] borelize E haveI : SeparableSpace (range (uncurry f) ∪ {0} : Set E) := hf.separableSpace_range_union_singleton let s : ℕ → SimpleFunc (α × β) E := SimpleFunc.approxOn _ hf.measurable (range (uncurry f) ∪ {0}) 0 (by simp) let s' : ℕ → α → SimpleFunc β E := fun n x => (s n).comp (Prod.mk x) measurable_prod_mk_left let f' : ℕ → α → E := fun n => {x | Integrable (f x) ν}.indicator fun x => (s' n x).integral ν have hf' : ∀ n, StronglyMeasurable (f' n) := by intro n; refine StronglyMeasurable.indicator ?_ (measurableSet_integrable hf) have : ∀ x, ((s' n x).range.filter fun x => x ≠ 0) ⊆ (s n).range := by intro x; refine Finset.Subset.trans (Finset.filter_subset _ _) ?_; intro y simp_rw [SimpleFunc.mem_range]; rintro ⟨z, rfl⟩; exact ⟨(x, z), rfl⟩ simp only [SimpleFunc.integral_eq_sum_of_subset (this _)] refine Finset.stronglyMeasurable_sum _ fun x _ => ?_ refine (Measurable.ennreal_toReal ?_).stronglyMeasurable.smul_const _ simp only [s', SimpleFunc.coe_comp, preimage_comp] apply measurable_measure_prod_mk_left exact (s n).measurableSet_fiber x have h2f' : Tendsto f' atTop (𝓝 fun x : α => ∫ y : β, f x y ∂ν) := by rw [tendsto_pi_nhds]; intro x by_cases hfx : Integrable (f x) ν · have (n) : Integrable (s' n x) ν := by apply (hfx.norm.add hfx.norm).mono' (s' n x).aestronglyMeasurable filter_upwards with y simp_rw [s', SimpleFunc.coe_comp]; exact SimpleFunc.norm_approxOn_zero_le _ _ (x, y) n simp only [f', hfx, SimpleFunc.integral_eq_integral _ (this _), indicator_of_mem, mem_setOf_eq] refine tendsto_integral_of_dominated_convergence (fun y => ‖f x y‖ + ‖f x y‖) (fun n => (s' n x).aestronglyMeasurable) (hfx.norm.add hfx.norm) ?_ ?_ · refine fun n => eventually_of_forall fun y => SimpleFunc.norm_approxOn_zero_le ?_ ?_ (x, y) n -- Porting note: Lean 3 solved the following two subgoals on its own · exact hf.measurable · simp · refine eventually_of_forall fun y => SimpleFunc.tendsto_approxOn ?_ ?_ ?_ -- Porting note: Lean 3 solved the following two subgoals on its own · exact hf.measurable.of_uncurry_left · simp apply subset_closure simp [-uncurry_apply_pair] · simp [f', hfx, integral_undef] exact stronglyMeasurable_of_tendsto _ hf' h2f' #align measure_theory.strongly_measurable.integral_prod_right MeasureTheory.StronglyMeasurable.integral_prod_right theorem MeasureTheory.StronglyMeasurable.integral_prod_right' [SigmaFinite ν] ⦃f : α × β → E⦄ (hf : StronglyMeasurable f) : StronglyMeasurable fun x => ∫ y, f (x, y) ∂ν := by rw [← uncurry_curry f] at hf; exact hf.integral_prod_right #align measure_theory.strongly_measurable.integral_prod_right' MeasureTheory.StronglyMeasurable.integral_prod_right' theorem MeasureTheory.StronglyMeasurable.integral_prod_left [SigmaFinite μ] ⦃f : α → β → E⦄ (hf : StronglyMeasurable (uncurry f)) : StronglyMeasurable fun y => ∫ x, f x y ∂μ := (hf.comp_measurable measurable_swap).integral_prod_right' #align measure_theory.strongly_measurable.integral_prod_left MeasureTheory.StronglyMeasurable.integral_prod_left theorem MeasureTheory.StronglyMeasurable.integral_prod_left' [SigmaFinite μ] ⦃f : α × β → E⦄ (hf : StronglyMeasurable f) : StronglyMeasurable fun y => ∫ x, f (x, y) ∂μ := (hf.comp_measurable measurable_swap).integral_prod_right' #align measure_theory.strongly_measurable.integral_prod_left' MeasureTheory.StronglyMeasurable.integral_prod_left' end namespace MeasureTheory namespace Measure variable [SigmaFinite ν]
Mathlib/MeasureTheory/Constructions/Prod/Integral.lean
158
167
theorem integrable_measure_prod_mk_left {s : Set (α × β)} (hs : MeasurableSet s) (h2s : (μ.prod ν) s ≠ ∞) : Integrable (fun x => (ν (Prod.mk x ⁻¹' s)).toReal) μ := by
refine ⟨(measurable_measure_prod_mk_left hs).ennreal_toReal.aemeasurable.aestronglyMeasurable, ?_⟩ simp_rw [HasFiniteIntegral, ennnorm_eq_ofReal toReal_nonneg] convert h2s.lt_top using 1 -- Porting note: was `simp_rw` rw [prod_apply hs] apply lintegral_congr_ae filter_upwards [ae_measure_lt_top hs h2s] with x hx rw [lt_top_iff_ne_top] at hx; simp [ofReal_toReal, hx]
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 RatOfTerminates variable (v : K) (n : ℕ) nonrec theorem exists_gcf_pair_rat_eq_of_nth_conts_aux : ∃ conts : Pair ℚ, (of v).continuantsAux n = (conts.map (↑) : Pair K) := Nat.strong_induction_on n (by clear n let g := of v intro n IH rcases n with (_ | _ | n) -- n = 0 · suffices ∃ gp : Pair ℚ, Pair.mk (1 : K) 0 = gp.map (↑) by simpa [continuantsAux] use Pair.mk 1 0 simp -- n = 1 · suffices ∃ conts : Pair ℚ, Pair.mk g.h 1 = conts.map (↑) by simpa [continuantsAux] use Pair.mk ⌊v⌋ 1 simp [g] -- 2 ≤ n · cases' IH (n + 1) <| lt_add_one (n + 1) with pred_conts pred_conts_eq -- invoke the IH cases' s_ppred_nth_eq : g.s.get? n with gp_n -- option.none · use pred_conts have : g.continuantsAux (n + 2) = g.continuantsAux (n + 1) := continuantsAux_stable_of_terminated (n + 1).le_succ s_ppred_nth_eq simp only [this, pred_conts_eq] -- option.some · -- invoke the IH a second time cases' IH n <| lt_of_le_of_lt n.le_succ <| lt_add_one <| n + 1 with ppred_conts ppred_conts_eq obtain ⟨a_eq_one, z, b_eq_z⟩ : gp_n.a = 1 ∧ ∃ z : ℤ, gp_n.b = (z : K) := of_part_num_eq_one_and_exists_int_part_denom_eq s_ppred_nth_eq -- finally, unfold the recurrence to obtain the required rational value. simp only [a_eq_one, b_eq_z, continuantsAux_recurrence s_ppred_nth_eq ppred_conts_eq pred_conts_eq] use nextContinuants 1 (z : ℚ) ppred_conts pred_conts cases ppred_conts; cases pred_conts simp [nextContinuants, nextNumerator, nextDenominator]) #align generalized_continued_fraction.exists_gcf_pair_rat_eq_of_nth_conts_aux GeneralizedContinuedFraction.exists_gcf_pair_rat_eq_of_nth_conts_aux theorem exists_gcf_pair_rat_eq_nth_conts : ∃ conts : Pair ℚ, (of v).continuants n = (conts.map (↑) : Pair K) := by rw [nth_cont_eq_succ_nth_cont_aux]; exact exists_gcf_pair_rat_eq_of_nth_conts_aux v <| n + 1 #align generalized_continued_fraction.exists_gcf_pair_rat_eq_nth_conts GeneralizedContinuedFraction.exists_gcf_pair_rat_eq_nth_conts theorem exists_rat_eq_nth_numerator : ∃ q : ℚ, (of v).numerators n = (q : K) := by rcases exists_gcf_pair_rat_eq_nth_conts v n with ⟨⟨a, _⟩, nth_cont_eq⟩ use a simp [num_eq_conts_a, nth_cont_eq] #align generalized_continued_fraction.exists_rat_eq_nth_numerator GeneralizedContinuedFraction.exists_rat_eq_nth_numerator theorem exists_rat_eq_nth_denominator : ∃ q : ℚ, (of v).denominators n = (q : K) := by rcases exists_gcf_pair_rat_eq_nth_conts v n with ⟨⟨_, b⟩, nth_cont_eq⟩ use b simp [denom_eq_conts_b, nth_cont_eq] #align generalized_continued_fraction.exists_rat_eq_nth_denominator GeneralizedContinuedFraction.exists_rat_eq_nth_denominator
Mathlib/Algebra/ContinuedFractions/Computation/TerminatesIffRat.lean
119
123
theorem exists_rat_eq_nth_convergent : ∃ q : ℚ, (of v).convergents n = (q : K) := by
rcases exists_rat_eq_nth_numerator v n with ⟨Aₙ, nth_num_eq⟩ rcases exists_rat_eq_nth_denominator v n with ⟨Bₙ, nth_denom_eq⟩ use Aₙ / Bₙ simp [nth_num_eq, nth_denom_eq, convergent_eq_num_div_denom]
import Mathlib.Algebra.IsPrimePow import Mathlib.NumberTheory.ArithmeticFunction import Mathlib.Analysis.SpecialFunctions.Log.Basic #align_import number_theory.von_mangoldt from "leanprover-community/mathlib"@"c946d6097a6925ad16d7ec55677bbc977f9846de" namespace ArithmeticFunction open Finset Nat open scoped ArithmeticFunction noncomputable def log : ArithmeticFunction ℝ := ⟨fun n => Real.log n, by simp⟩ #align nat.arithmetic_function.log ArithmeticFunction.log @[simp] theorem log_apply {n : ℕ} : log n = Real.log n := rfl #align nat.arithmetic_function.log_apply ArithmeticFunction.log_apply noncomputable def vonMangoldt : ArithmeticFunction ℝ := ⟨fun n => if IsPrimePow n then Real.log (minFac n) else 0, if_neg not_isPrimePow_zero⟩ #align nat.arithmetic_function.von_mangoldt ArithmeticFunction.vonMangoldt @[inherit_doc] scoped[ArithmeticFunction] notation "Λ" => ArithmeticFunction.vonMangoldt @[inherit_doc] scoped[ArithmeticFunction.vonMangoldt] notation "Λ" => ArithmeticFunction.vonMangoldt theorem vonMangoldt_apply {n : ℕ} : Λ n = if IsPrimePow n then Real.log (minFac n) else 0 := rfl #align nat.arithmetic_function.von_mangoldt_apply ArithmeticFunction.vonMangoldt_apply @[simp] theorem vonMangoldt_apply_one : Λ 1 = 0 := by simp [vonMangoldt_apply] #align nat.arithmetic_function.von_mangoldt_apply_one ArithmeticFunction.vonMangoldt_apply_one @[simp]
Mathlib/NumberTheory/VonMangoldt.lean
83
87
theorem vonMangoldt_nonneg {n : ℕ} : 0 ≤ Λ n := by
rw [vonMangoldt_apply] split_ifs · exact Real.log_nonneg (one_le_cast.2 (Nat.minFac_pos n)) rfl
import Mathlib.Analysis.NormedSpace.Basic import Mathlib.Analysis.Normed.Group.Hom import Mathlib.Data.Real.Sqrt import Mathlib.RingTheory.Ideal.QuotientOperations import Mathlib.Topology.MetricSpace.HausdorffDistance #align_import analysis.normed.group.quotient from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" noncomputable section open QuotientAddGroup Metric Set Topology NNReal variable {M N : Type*} [SeminormedAddCommGroup M] [SeminormedAddCommGroup N] noncomputable instance normOnQuotient (S : AddSubgroup M) : Norm (M ⧸ S) where norm x := sInf (norm '' { m | mk' S m = x }) #align norm_on_quotient normOnQuotient theorem AddSubgroup.quotient_norm_eq {S : AddSubgroup M} (x : M ⧸ S) : ‖x‖ = sInf (norm '' { m : M | (m : M ⧸ S) = x }) := rfl #align add_subgroup.quotient_norm_eq AddSubgroup.quotient_norm_eq theorem QuotientAddGroup.norm_eq_infDist {S : AddSubgroup M} (x : M ⧸ S) : ‖x‖ = infDist 0 { m : M | (m : M ⧸ S) = x } := by simp only [AddSubgroup.quotient_norm_eq, infDist_eq_iInf, sInf_image', dist_zero_left] theorem QuotientAddGroup.norm_mk {S : AddSubgroup M} (x : M) : ‖(x : M ⧸ S)‖ = infDist x S := by rw [norm_eq_infDist, ← infDist_image (IsometryEquiv.subLeft x).isometry, IsometryEquiv.subLeft_apply, sub_zero, ← IsometryEquiv.preimage_symm] congr 1 with y simp only [mem_preimage, IsometryEquiv.subLeft_symm_apply, mem_setOf_eq, QuotientAddGroup.eq, neg_add, neg_neg, neg_add_cancel_right, SetLike.mem_coe] theorem image_norm_nonempty {S : AddSubgroup M} (x : M ⧸ S) : (norm '' { m | mk' S m = x }).Nonempty := .image _ <| Quot.exists_rep x #align image_norm_nonempty image_norm_nonempty theorem bddBelow_image_norm (s : Set M) : BddBelow (norm '' s) := ⟨0, forall_mem_image.2 fun _ _ ↦ norm_nonneg _⟩ #align bdd_below_image_norm bddBelow_image_norm theorem isGLB_quotient_norm {S : AddSubgroup M} (x : M ⧸ S) : IsGLB (norm '' { m | mk' S m = x }) (‖x‖) := isGLB_csInf (image_norm_nonempty x) (bddBelow_image_norm _) theorem quotient_norm_neg {S : AddSubgroup M} (x : M ⧸ S) : ‖-x‖ = ‖x‖ := by simp only [AddSubgroup.quotient_norm_eq] congr 1 with r constructor <;> { rintro ⟨m, hm, rfl⟩; use -m; simpa [neg_eq_iff_eq_neg] using hm } #align quotient_norm_neg quotient_norm_neg theorem quotient_norm_sub_rev {S : AddSubgroup M} (x y : M ⧸ S) : ‖x - y‖ = ‖y - x‖ := by rw [← neg_sub, quotient_norm_neg] #align quotient_norm_sub_rev quotient_norm_sub_rev theorem quotient_norm_mk_le (S : AddSubgroup M) (m : M) : ‖mk' S m‖ ≤ ‖m‖ := csInf_le (bddBelow_image_norm _) <| Set.mem_image_of_mem _ rfl #align quotient_norm_mk_le quotient_norm_mk_le theorem quotient_norm_mk_le' (S : AddSubgroup M) (m : M) : ‖(m : M ⧸ S)‖ ≤ ‖m‖ := quotient_norm_mk_le S m #align quotient_norm_mk_le' quotient_norm_mk_le' theorem quotient_norm_mk_eq (S : AddSubgroup M) (m : M) : ‖mk' S m‖ = sInf ((‖m + ·‖) '' S) := by rw [mk'_apply, norm_mk, sInf_image', ← infDist_image isometry_neg, image_neg, neg_coe_set (H := S), infDist_eq_iInf] simp only [dist_eq_norm', sub_neg_eq_add, add_comm] #align quotient_norm_mk_eq quotient_norm_mk_eq theorem quotient_norm_nonneg (S : AddSubgroup M) (x : M ⧸ S) : 0 ≤ ‖x‖ := Real.sInf_nonneg _ <| forall_mem_image.2 fun _ _ ↦ norm_nonneg _ #align quotient_norm_nonneg quotient_norm_nonneg theorem norm_mk_nonneg (S : AddSubgroup M) (m : M) : 0 ≤ ‖mk' S m‖ := quotient_norm_nonneg S _ #align norm_mk_nonneg norm_mk_nonneg theorem quotient_norm_eq_zero_iff (S : AddSubgroup M) (m : M) : ‖mk' S m‖ = 0 ↔ m ∈ closure (S : Set M) := by rw [mk'_apply, norm_mk, ← mem_closure_iff_infDist_zero] exact ⟨0, S.zero_mem⟩ #align quotient_norm_eq_zero_iff quotient_norm_eq_zero_iff theorem QuotientAddGroup.norm_lt_iff {S : AddSubgroup M} {x : M ⧸ S} {r : ℝ} : ‖x‖ < r ↔ ∃ m : M, ↑m = x ∧ ‖m‖ < r := by rw [isGLB_lt_iff (isGLB_quotient_norm _), exists_mem_image] rfl theorem norm_mk_lt {S : AddSubgroup M} (x : M ⧸ S) {ε : ℝ} (hε : 0 < ε) : ∃ m : M, mk' S m = x ∧ ‖m‖ < ‖x‖ + ε := norm_lt_iff.1 <| lt_add_of_pos_right _ hε #align norm_mk_lt norm_mk_lt
Mathlib/Analysis/Normed/Group/Quotient.lean
200
206
theorem norm_mk_lt' (S : AddSubgroup M) (m : M) {ε : ℝ} (hε : 0 < ε) : ∃ s ∈ S, ‖m + s‖ < ‖mk' S m‖ + ε := by
obtain ⟨n : M, hn : mk' S n = mk' S m, hn' : ‖n‖ < ‖mk' S m‖ + ε⟩ := norm_mk_lt (QuotientAddGroup.mk' S m) hε erw [eq_comm, QuotientAddGroup.eq] at hn use -m + n, hn rwa [add_neg_cancel_left]
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 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] #align mv_polynomial.monomial_dvd_monomial MvPolynomial.monomial_dvd_monomial @[simp]
Mathlib/Algebra/MvPolynomial/Division.lean
244
247
theorem monomial_one_dvd_monomial_one [Nontrivial R] {i j : σ →₀ ℕ} : monomial i (1 : R) ∣ monomial j 1 ↔ i ≤ j := by
rw [monomial_dvd_monomial] simp_rw [one_ne_zero, false_or_iff, dvd_rfl, and_true_iff]
import Mathlib.Algebra.Polynomial.Module.Basic import Mathlib.Analysis.Calculus.Deriv.Pow import Mathlib.Analysis.Calculus.IteratedDeriv.Defs import Mathlib.Analysis.Calculus.MeanValue #align_import analysis.calculus.taylor from "leanprover-community/mathlib"@"3a69562db5a458db8322b190ec8d9a8bbd8a5b14" open scoped Interval Topology Nat open Set variable {𝕜 E F : Type*} variable [NormedAddCommGroup E] [NormedSpace ℝ E] noncomputable def taylorCoeffWithin (f : ℝ → E) (k : ℕ) (s : Set ℝ) (x₀ : ℝ) : E := (k ! : ℝ)⁻¹ • iteratedDerivWithin k f s x₀ #align taylor_coeff_within taylorCoeffWithin noncomputable def taylorWithin (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ : ℝ) : PolynomialModule ℝ E := (Finset.range (n + 1)).sum fun k => PolynomialModule.comp (Polynomial.X - Polynomial.C x₀) (PolynomialModule.single ℝ k (taylorCoeffWithin f k s x₀)) #align taylor_within taylorWithin noncomputable def taylorWithinEval (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ x : ℝ) : E := PolynomialModule.eval x (taylorWithin f n s x₀) #align taylor_within_eval taylorWithinEval theorem taylorWithin_succ (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ : ℝ) : taylorWithin f (n + 1) s x₀ = taylorWithin f n s x₀ + PolynomialModule.comp (Polynomial.X - Polynomial.C x₀) (PolynomialModule.single ℝ (n + 1) (taylorCoeffWithin f (n + 1) s x₀)) := by dsimp only [taylorWithin] rw [Finset.sum_range_succ] #align taylor_within_succ taylorWithin_succ @[simp] theorem taylorWithinEval_succ (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ x : ℝ) : taylorWithinEval f (n + 1) s x₀ x = taylorWithinEval f n s x₀ x + (((n + 1 : ℝ) * n !)⁻¹ * (x - x₀) ^ (n + 1)) • iteratedDerivWithin (n + 1) f s x₀ := by simp_rw [taylorWithinEval, taylorWithin_succ, LinearMap.map_add, PolynomialModule.comp_eval] congr simp only [Polynomial.eval_sub, Polynomial.eval_X, Polynomial.eval_C, PolynomialModule.eval_single, mul_inv_rev] dsimp only [taylorCoeffWithin] rw [← mul_smul, mul_comm, Nat.factorial_succ, Nat.cast_mul, Nat.cast_add, Nat.cast_one, mul_inv_rev] #align taylor_within_eval_succ taylorWithinEval_succ @[simp]
Mathlib/Analysis/Calculus/Taylor.lean
97
102
theorem taylor_within_zero_eval (f : ℝ → E) (s : Set ℝ) (x₀ x : ℝ) : taylorWithinEval f 0 s x₀ x = f x₀ := by
dsimp only [taylorWithinEval] dsimp only [taylorWithin] dsimp only [taylorCoeffWithin] simp
import Mathlib.Algebra.Homology.HomologicalComplex import Mathlib.CategoryTheory.DifferentialObject #align_import algebra.homology.differential_object from "leanprover-community/mathlib"@"b535c2d5d996acd9b0554b76395d9c920e186f4f" open CategoryTheory CategoryTheory.Limits open scoped Classical noncomputable section namespace CategoryTheory.DifferentialObject variable {β : Type*} [AddCommGroup β] {b : β} variable {V : Type*} [Category V] [HasZeroMorphisms V] variable (X : DifferentialObject ℤ (GradedObjectWithShift b V)) abbrev objEqToHom {i j : β} (h : i = j) : X.obj i ⟶ X.obj j := eqToHom (congr_arg X.obj h) set_option linter.uppercaseLean3 false in #align category_theory.differential_object.X_eq_to_hom CategoryTheory.DifferentialObject.objEqToHom @[simp] theorem objEqToHom_refl (i : β) : X.objEqToHom (refl i) = 𝟙 _ := rfl set_option linter.uppercaseLean3 false in #align category_theory.differential_object.X_eq_to_hom_refl CategoryTheory.DifferentialObject.objEqToHom_refl @[reassoc (attr := simp)]
Mathlib/Algebra/Homology/DifferentialObject.lean
53
54
theorem objEqToHom_d {x y : β} (h : x = y) : X.objEqToHom h ≫ X.d y = X.d x ≫ X.objEqToHom (by cases h; rfl) := by
cases h; dsimp; simp
import Mathlib.Algebra.Star.Basic import Mathlib.Algebra.FreeAlgebra #align_import algebra.star.free from "leanprover-community/mathlib"@"07c3cf2d851866ff7198219ed3fedf42e901f25c" namespace FreeAlgebra variable {R : Type*} [CommSemiring R] {X : Type*} instance : StarRing (FreeAlgebra R X) where star := MulOpposite.unop ∘ lift R (MulOpposite.op ∘ ι R) star_involutive x := by unfold Star.star simp only [Function.comp_apply] let y := lift R (X := X) (MulOpposite.op ∘ ι R) apply induction (C := fun x ↦ (y (y x).unop).unop = x) _ _ _ _ x · intros simp only [AlgHom.commutes, MulOpposite.algebraMap_apply, MulOpposite.unop_op] · intros simp only [y, lift_ι_apply, Function.comp_apply, MulOpposite.unop_op] · intros simp only [*, map_mul, MulOpposite.unop_mul] · intros simp only [*, map_add, MulOpposite.unop_add] star_mul a b := by simp only [Function.comp_apply, map_mul, MulOpposite.unop_mul] star_add a b := by simp only [Function.comp_apply, map_add, MulOpposite.unop_add] @[simp]
Mathlib/Algebra/Star/Free.lean
68
68
theorem star_ι (x : X) : star (ι R x) = ι R x := by
simp [star, Star.star]
import Mathlib.MeasureTheory.Integral.Lebesgue #align_import measure_theory.measure.giry_monad from "leanprover-community/mathlib"@"56f4cd1ef396e9fd389b5d8371ee9ad91d163625" noncomputable section open scoped Classical open ENNReal open scoped Classical open Set Filter variable {α β : Type*} namespace MeasureTheory namespace Measure variable [MeasurableSpace α] [MeasurableSpace β] instance instMeasurableSpace : MeasurableSpace (Measure α) := ⨆ (s : Set α) (_ : MeasurableSet s), (borel ℝ≥0∞).comap fun μ => μ s #align measure_theory.measure.measurable_space MeasureTheory.Measure.instMeasurableSpace theorem measurable_coe {s : Set α} (hs : MeasurableSet s) : Measurable fun μ : Measure α => μ s := Measurable.of_comap_le <| le_iSup_of_le s <| le_iSup_of_le hs <| le_rfl #align measure_theory.measure.measurable_coe MeasureTheory.Measure.measurable_coe theorem measurable_of_measurable_coe (f : β → Measure α) (h : ∀ (s : Set α), MeasurableSet s → Measurable fun b => f b s) : Measurable f := Measurable.of_le_map <| iSup₂_le fun s hs => MeasurableSpace.comap_le_iff_le_map.2 <| by rw [MeasurableSpace.map_comp]; exact h s hs #align measure_theory.measure.measurable_of_measurable_coe MeasureTheory.Measure.measurable_of_measurable_coe instance instMeasurableAdd₂ {α : Type*} {m : MeasurableSpace α} : MeasurableAdd₂ (Measure α) := by refine ⟨Measure.measurable_of_measurable_coe _ fun s hs => ?_⟩ simp_rw [Measure.coe_add, Pi.add_apply] refine Measurable.add ?_ ?_ · exact (Measure.measurable_coe hs).comp measurable_fst · exact (Measure.measurable_coe hs).comp measurable_snd #align measure_theory.measure.has_measurable_add₂ MeasureTheory.Measure.instMeasurableAdd₂ theorem measurable_measure {μ : α → Measure β} : Measurable μ ↔ ∀ (s : Set β), MeasurableSet s → Measurable fun b => μ b s := ⟨fun hμ _s hs => (measurable_coe hs).comp hμ, measurable_of_measurable_coe μ⟩ #align measure_theory.measure.measurable_measure MeasureTheory.Measure.measurable_measure theorem measurable_map (f : α → β) (hf : Measurable f) : Measurable fun μ : Measure α => map f μ := by refine measurable_of_measurable_coe _ fun s hs => ?_ simp_rw [map_apply hf hs] exact measurable_coe (hf hs) #align measure_theory.measure.measurable_map MeasureTheory.Measure.measurable_map theorem measurable_dirac : Measurable (Measure.dirac : α → Measure α) := by refine measurable_of_measurable_coe _ fun s hs => ?_ simp_rw [dirac_apply' _ hs] exact measurable_one.indicator hs #align measure_theory.measure.measurable_dirac MeasureTheory.Measure.measurable_dirac
Mathlib/MeasureTheory/Measure/GiryMonad.lean
91
96
theorem measurable_lintegral {f : α → ℝ≥0∞} (hf : Measurable f) : Measurable fun μ : Measure α => ∫⁻ x, f x ∂μ := by
simp only [lintegral_eq_iSup_eapprox_lintegral, hf, SimpleFunc.lintegral] refine measurable_iSup fun n => Finset.measurable_sum _ fun i _ => ?_ refine Measurable.const_mul ?_ _ exact measurable_coe ((SimpleFunc.eapprox f n).measurableSet_preimage _)
import Batteries.Tactic.Lint.Basic import Mathlib.Algebra.Order.Monoid.Unbundled.Basic import Mathlib.Algebra.Order.Ring.Defs import Mathlib.Algebra.Order.ZeroLEOne import Mathlib.Data.Nat.Cast.Order import Mathlib.Init.Data.Int.Order set_option autoImplicit true namespace Linarith theorem lt_irrefl {α : Type u} [Preorder α] {a : α} : ¬a < a := _root_.lt_irrefl a theorem eq_of_eq_of_eq {α} [OrderedSemiring α] {a b : α} (ha : a = 0) (hb : b = 0) : a + b = 0 := by simp [*] theorem le_of_eq_of_le {α} [OrderedSemiring α] {a b : α} (ha : a = 0) (hb : b ≤ 0) : a + b ≤ 0 := by simp [*] theorem lt_of_eq_of_lt {α} [OrderedSemiring α] {a b : α} (ha : a = 0) (hb : b < 0) : a + b < 0 := by simp [*]
Mathlib/Tactic/Linarith/Lemmas.lean
36
37
theorem le_of_le_of_eq {α} [OrderedSemiring α] {a b : α} (ha : a ≤ 0) (hb : b = 0) : a + b ≤ 0 := by
simp [*]
import Mathlib.Algebra.BigOperators.Group.List import Mathlib.Algebra.Group.Prod import Mathlib.Data.Multiset.Basic #align_import algebra.big_operators.multiset.basic from "leanprover-community/mathlib"@"6c5f73fd6f6cc83122788a80a27cdd54663609f4" assert_not_exists MonoidWithZero variable {F ι α β γ : Type*} namespace Multiset section CommMonoid variable [CommMonoid α] [CommMonoid β] {s t : Multiset α} {a : α} {m : Multiset ι} {f g : ι → α} @[to_additive "Sum of a multiset given a commutative additive monoid structure on `α`. `sum {a, b, c} = a + b + c`"] def prod : Multiset α → α := foldr (· * ·) (fun x y z => by simp [mul_left_comm]) 1 #align multiset.prod Multiset.prod #align multiset.sum Multiset.sum @[to_additive] theorem prod_eq_foldr (s : Multiset α) : prod s = foldr (· * ·) (fun x y z => by simp [mul_left_comm]) 1 s := rfl #align multiset.prod_eq_foldr Multiset.prod_eq_foldr #align multiset.sum_eq_foldr Multiset.sum_eq_foldr @[to_additive] theorem prod_eq_foldl (s : Multiset α) : prod s = foldl (· * ·) (fun x y z => by simp [mul_right_comm]) 1 s := (foldr_swap _ _ _ _).trans (by simp [mul_comm]) #align multiset.prod_eq_foldl Multiset.prod_eq_foldl #align multiset.sum_eq_foldl Multiset.sum_eq_foldl @[to_additive (attr := simp, norm_cast)] theorem prod_coe (l : List α) : prod ↑l = l.prod := prod_eq_foldl _ #align multiset.coe_prod Multiset.prod_coe #align multiset.coe_sum Multiset.sum_coe @[to_additive (attr := simp)] theorem prod_toList (s : Multiset α) : s.toList.prod = s.prod := by conv_rhs => rw [← coe_toList s] rw [prod_coe] #align multiset.prod_to_list Multiset.prod_toList #align multiset.sum_to_list Multiset.sum_toList @[to_additive (attr := simp)] theorem prod_zero : @prod α _ 0 = 1 := rfl #align multiset.prod_zero Multiset.prod_zero #align multiset.sum_zero Multiset.sum_zero @[to_additive (attr := simp)] theorem prod_cons (a : α) (s) : prod (a ::ₘ s) = a * prod s := foldr_cons _ _ _ _ _ #align multiset.prod_cons Multiset.prod_cons #align multiset.sum_cons Multiset.sum_cons @[to_additive (attr := simp)] theorem prod_erase [DecidableEq α] (h : a ∈ s) : a * (s.erase a).prod = s.prod := by rw [← s.coe_toList, coe_erase, prod_coe, prod_coe, List.prod_erase (mem_toList.2 h)] #align multiset.prod_erase Multiset.prod_erase #align multiset.sum_erase Multiset.sum_erase @[to_additive (attr := simp)] theorem prod_map_erase [DecidableEq ι] {a : ι} (h : a ∈ m) : f a * ((m.erase a).map f).prod = (m.map f).prod := by rw [← m.coe_toList, coe_erase, map_coe, map_coe, prod_coe, prod_coe, List.prod_map_erase f (mem_toList.2 h)] #align multiset.prod_map_erase Multiset.prod_map_erase #align multiset.sum_map_erase Multiset.sum_map_erase @[to_additive (attr := simp)] theorem prod_singleton (a : α) : prod {a} = a := by simp only [mul_one, prod_cons, ← cons_zero, eq_self_iff_true, prod_zero] #align multiset.prod_singleton Multiset.prod_singleton #align multiset.sum_singleton Multiset.sum_singleton @[to_additive]
Mathlib/Algebra/BigOperators/Group/Multiset.lean
105
106
theorem prod_pair (a b : α) : ({a, b} : Multiset α).prod = a * b := by
rw [insert_eq_cons, prod_cons, prod_singleton]
import Mathlib.Topology.Bases import Mathlib.Order.Filter.CountableInter import Mathlib.Topology.Compactness.SigmaCompact open Set Filter Topology TopologicalSpace universe u v variable {X : Type u} {Y : Type v} {ι : Type*} variable [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X} section Lindelof def IsLindelof (s : Set X) := ∀ ⦃f⦄ [NeBot f] [CountableInterFilter f], f ≤ 𝓟 s → ∃ x ∈ s, ClusterPt x f theorem IsLindelof.compl_mem_sets (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f] (hf : ∀ x ∈ s, sᶜ ∈ 𝓝 x ⊓ f) : sᶜ ∈ f := by contrapose! hf simp only [not_mem_iff_inf_principal_compl, compl_compl, inf_assoc] at hf ⊢ exact hs inf_le_right theorem IsLindelof.compl_mem_sets_of_nhdsWithin (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f] (hf : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, tᶜ ∈ f) : sᶜ ∈ f := by refine hs.compl_mem_sets fun x hx ↦ ?_ rw [← disjoint_principal_right, disjoint_right_comm, (basis_sets _).disjoint_iff_left] exact hf x hx @[elab_as_elim] theorem IsLindelof.induction_on (hs : IsLindelof s) {p : Set X → Prop} (hmono : ∀ ⦃s t⦄, s ⊆ t → p t → p s) (hcountable_union : ∀ (S : Set (Set X)), S.Countable → (∀ s ∈ S, p s) → p (⋃₀ S)) (hnhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, p t) : p s := by let f : Filter X := ofCountableUnion p hcountable_union (fun t ht _ hsub ↦ hmono hsub ht) have : sᶜ ∈ f := hs.compl_mem_sets_of_nhdsWithin (by simpa [f] using hnhds) rwa [← compl_compl s] theorem IsLindelof.inter_right (hs : IsLindelof s) (ht : IsClosed t) : IsLindelof (s ∩ t) := by intro f hnf _ hstf rw [← inf_principal, le_inf_iff] at hstf obtain ⟨x, hsx, hx⟩ : ∃ x ∈ s, ClusterPt x f := hs hstf.1 have hxt : x ∈ t := ht.mem_of_nhdsWithin_neBot <| hx.mono hstf.2 exact ⟨x, ⟨hsx, hxt⟩, hx⟩ theorem IsLindelof.inter_left (ht : IsLindelof t) (hs : IsClosed s) : IsLindelof (s ∩ t) := inter_comm t s ▸ ht.inter_right hs theorem IsLindelof.diff (hs : IsLindelof s) (ht : IsOpen t) : IsLindelof (s \ t) := hs.inter_right (isClosed_compl_iff.mpr ht) theorem IsLindelof.of_isClosed_subset (hs : IsLindelof s) (ht : IsClosed t) (h : t ⊆ s) : IsLindelof t := inter_eq_self_of_subset_right h ▸ hs.inter_right ht
Mathlib/Topology/Compactness/Lindelof.lean
98
110
theorem IsLindelof.image_of_continuousOn {f : X → Y} (hs : IsLindelof s) (hf : ContinuousOn f s) : IsLindelof (f '' s) := by
intro l lne _ ls have : NeBot (l.comap f ⊓ 𝓟 s) := comap_inf_principal_neBot_of_image_mem lne (le_principal_iff.1 ls) obtain ⟨x, hxs, hx⟩ : ∃ x ∈ s, ClusterPt x (l.comap f ⊓ 𝓟 s) := @hs _ this _ inf_le_right haveI := hx.neBot use f x, mem_image_of_mem f hxs have : Tendsto f (𝓝 x ⊓ (comap f l ⊓ 𝓟 s)) (𝓝 (f x) ⊓ l) := by convert (hf x hxs).inf (@tendsto_comap _ _ f l) using 1 rw [nhdsWithin] ac_rfl exact this.neBot
import Mathlib.CategoryTheory.Adjunction.Unique import Mathlib.CategoryTheory.Adjunction.FullyFaithful import Mathlib.CategoryTheory.Sites.Sheaf import Mathlib.CategoryTheory.Limits.Preserves.Finite universe v₁ v₂ u₁ u₂ namespace CategoryTheory open Limits variable {C : Type u₁} [Category.{v₁} C] (J : GrothendieckTopology C) variable (A : Type u₂) [Category.{v₂} A] abbrev HasWeakSheafify : Prop := (sheafToPresheaf J A).IsRightAdjoint class HasSheafify : Prop where isRightAdjoint : HasWeakSheafify J A isLeftExact : Nonempty (PreservesFiniteLimits ((sheafToPresheaf J A).leftAdjoint)) instance [HasSheafify J A] : HasWeakSheafify J A := HasSheafify.isRightAdjoint noncomputable section instance [HasSheafify J A] : PreservesFiniteLimits ((sheafToPresheaf J A).leftAdjoint) := HasSheafify.isLeftExact.some theorem HasSheafify.mk' {F : (Cᵒᵖ ⥤ A) ⥤ Sheaf J A} (adj : F ⊣ sheafToPresheaf J A) [PreservesFiniteLimits F] : HasSheafify J A where isRightAdjoint := ⟨F, ⟨adj⟩⟩ isLeftExact := ⟨by have : (sheafToPresheaf J A).IsRightAdjoint := ⟨_, ⟨adj⟩⟩ exact ⟨fun _ _ _ ↦ preservesLimitsOfShapeOfNatIso (adj.leftAdjointUniq (Adjunction.ofIsRightAdjoint (sheafToPresheaf J A)))⟩⟩ def presheafToSheaf [HasWeakSheafify J A] : (Cᵒᵖ ⥤ A) ⥤ Sheaf J A := (sheafToPresheaf J A).leftAdjoint instance [HasSheafify J A] : PreservesFiniteLimits (presheafToSheaf J A) := HasSheafify.isLeftExact.some def sheafificationAdjunction [HasWeakSheafify J A] : presheafToSheaf J A ⊣ sheafToPresheaf J A := Adjunction.ofIsRightAdjoint _ instance [HasWeakSheafify J A] : (presheafToSheaf J A).IsLeftAdjoint := ⟨_, ⟨sheafificationAdjunction J A⟩⟩ end variable {D : Type*} [Category D] [HasWeakSheafify J D] noncomputable abbrev sheafify (P : Cᵒᵖ ⥤ D) : Cᵒᵖ ⥤ D := presheafToSheaf J D |>.obj P |>.val noncomputable abbrev toSheafify (P : Cᵒᵖ ⥤ D) : P ⟶ sheafify J P := sheafificationAdjunction J D |>.unit.app P @[simp] theorem sheafificationAdjunction_unit_app (P : Cᵒᵖ ⥤ D) : (sheafificationAdjunction J D).unit.app P = toSheafify J P := rfl noncomputable abbrev sheafifyMap {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) : sheafify J P ⟶ sheafify J Q := presheafToSheaf J D |>.map η |>.val @[simp] theorem sheafifyMap_id (P : Cᵒᵖ ⥤ D) : sheafifyMap J (𝟙 P) = 𝟙 (sheafify J P) := by simp [sheafifyMap, sheafify] @[simp]
Mathlib/CategoryTheory/Sites/Sheafification.lean
100
102
theorem sheafifyMap_comp {P Q R : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (γ : Q ⟶ R) : sheafifyMap J (η ≫ γ) = sheafifyMap J η ≫ sheafifyMap J γ := by
simp [sheafifyMap, sheafify]
import Mathlib.Data.Finset.Lattice import Mathlib.Data.Set.Sigma #align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Function Multiset variable {ι : Type*} namespace Finset section Sigma variable {α : ι → Type*} {β : Type*} (s s₁ s₂ : Finset ι) (t t₁ t₂ : ∀ i, Finset (α i)) protected def sigma : Finset (Σi, α i) := ⟨_, s.nodup.sigma fun i => (t i).nodup⟩ #align finset.sigma Finset.sigma variable {s s₁ s₂ t t₁ t₂} @[simp] theorem mem_sigma {a : Σi, α i} : a ∈ s.sigma t ↔ a.1 ∈ s ∧ a.2 ∈ t a.1 := Multiset.mem_sigma #align finset.mem_sigma Finset.mem_sigma @[simp, norm_cast] theorem coe_sigma (s : Finset ι) (t : ∀ i, Finset (α i)) : (s.sigma t : Set (Σ i, α i)) = (s : Set ι).sigma fun i ↦ (t i : Set (α i)) := Set.ext fun _ => mem_sigma #align finset.coe_sigma Finset.coe_sigma @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem sigma_nonempty : (s.sigma t).Nonempty ↔ ∃ i ∈ s, (t i).Nonempty := by simp [Finset.Nonempty] #align finset.sigma_nonempty Finset.sigma_nonempty @[simp] theorem sigma_eq_empty : s.sigma t = ∅ ↔ ∀ i ∈ s, t i = ∅ := by simp only [← not_nonempty_iff_eq_empty, sigma_nonempty, not_exists, not_and] #align finset.sigma_eq_empty Finset.sigma_eq_empty @[mono] theorem sigma_mono (hs : s₁ ⊆ s₂) (ht : ∀ i, t₁ i ⊆ t₂ i) : s₁.sigma t₁ ⊆ s₂.sigma t₂ := fun ⟨i, _⟩ h => let ⟨hi, ha⟩ := mem_sigma.1 h mem_sigma.2 ⟨hs hi, ht i ha⟩ #align finset.sigma_mono Finset.sigma_mono theorem pairwiseDisjoint_map_sigmaMk : (s : Set ι).PairwiseDisjoint fun i => (t i).map (Embedding.sigmaMk i) := by intro i _ j _ hij rw [Function.onFun, disjoint_left] simp_rw [mem_map, Function.Embedding.sigmaMk_apply] rintro _ ⟨y, _, rfl⟩ ⟨z, _, hz'⟩ exact hij (congr_arg Sigma.fst hz'.symm) #align finset.pairwise_disjoint_map_sigma_mk Finset.pairwiseDisjoint_map_sigmaMk @[simp] theorem disjiUnion_map_sigma_mk : s.disjiUnion (fun i => (t i).map (Embedding.sigmaMk i)) pairwiseDisjoint_map_sigmaMk = s.sigma t := rfl #align finset.disj_Union_map_sigma_mk Finset.disjiUnion_map_sigma_mk theorem sigma_eq_biUnion [DecidableEq (Σi, α i)] (s : Finset ι) (t : ∀ i, Finset (α i)) : s.sigma t = s.biUnion fun i => (t i).map <| Embedding.sigmaMk i := by ext ⟨x, y⟩ simp [and_left_comm] #align finset.sigma_eq_bUnion Finset.sigma_eq_biUnion variable (s t) (f : (Σi, α i) → β)
Mathlib/Data/Finset/Sigma.lean
99
104
theorem sup_sigma [SemilatticeSup β] [OrderBot β] : (s.sigma t).sup f = s.sup fun i => (t i).sup fun b => f ⟨i, b⟩ := by
simp only [le_antisymm_iff, Finset.sup_le_iff, mem_sigma, and_imp, Sigma.forall] exact ⟨fun i a hi ha => (le_sup hi).trans' <| le_sup (f := fun a => f ⟨i, a⟩) ha, fun i hi a ha => le_sup <| mem_sigma.2 ⟨hi, ha⟩⟩
import Mathlib.Algebra.Order.Group.Nat import Mathlib.Data.List.Rotate import Mathlib.GroupTheory.Perm.Support #align_import group_theory.perm.list from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" namespace List variable {α β : Type*} section FormPerm variable [DecidableEq α] (l : List α) open Equiv Equiv.Perm def formPerm : Equiv.Perm α := (zipWith Equiv.swap l l.tail).prod #align list.form_perm List.formPerm @[simp] theorem formPerm_nil : formPerm ([] : List α) = 1 := rfl #align list.form_perm_nil List.formPerm_nil @[simp] theorem formPerm_singleton (x : α) : formPerm [x] = 1 := rfl #align list.form_perm_singleton List.formPerm_singleton @[simp] theorem formPerm_cons_cons (x y : α) (l : List α) : formPerm (x :: y :: l) = swap x y * formPerm (y :: l) := prod_cons #align list.form_perm_cons_cons List.formPerm_cons_cons theorem formPerm_pair (x y : α) : formPerm [x, y] = swap x y := rfl #align list.form_perm_pair List.formPerm_pair theorem mem_or_mem_of_zipWith_swap_prod_ne : ∀ {l l' : List α} {x : α}, (zipWith swap l l').prod x ≠ x → x ∈ l ∨ x ∈ l' | [], _, _ => by simp | _, [], _ => by simp | a::l, b::l', x => fun hx ↦ if h : (zipWith swap l l').prod x = x then (eq_or_eq_of_swap_apply_ne_self (by simpa [h] using hx)).imp (by rintro rfl; exact .head _) (by rintro rfl; exact .head _) else (mem_or_mem_of_zipWith_swap_prod_ne h).imp (.tail _) (.tail _) theorem zipWith_swap_prod_support' (l l' : List α) : { x | (zipWith swap l l').prod x ≠ x } ≤ l.toFinset ⊔ l'.toFinset := fun _ h ↦ by simpa using mem_or_mem_of_zipWith_swap_prod_ne h #align list.zip_with_swap_prod_support' List.zipWith_swap_prod_support' theorem zipWith_swap_prod_support [Fintype α] (l l' : List α) : (zipWith swap l l').prod.support ≤ l.toFinset ⊔ l'.toFinset := by intro x hx have hx' : x ∈ { x | (zipWith swap l l').prod x ≠ x } := by simpa using hx simpa using zipWith_swap_prod_support' _ _ hx' #align list.zip_with_swap_prod_support List.zipWith_swap_prod_support theorem support_formPerm_le' : { x | formPerm l x ≠ x } ≤ l.toFinset := by refine (zipWith_swap_prod_support' l l.tail).trans ?_ simpa [Finset.subset_iff] using tail_subset l #align list.support_form_perm_le' List.support_formPerm_le'
Mathlib/GroupTheory/Perm/List.lean
100
103
theorem support_formPerm_le [Fintype α] : support (formPerm l) ≤ l.toFinset := by
intro x hx have hx' : x ∈ { x | formPerm l x ≠ x } := by simpa using hx simpa using support_formPerm_le' _ hx'
import Mathlib.Topology.Sheaves.Presheaf import Mathlib.CategoryTheory.Adjunction.FullyFaithful #align_import algebraic_geometry.presheafed_space from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" open Opposite CategoryTheory CategoryTheory.Category CategoryTheory.Functor TopCat TopologicalSpace variable (C : Type*) [Category C] -- Porting note: we used to have: -- local attribute [tidy] tactic.auto_cases_opens -- We would replace this by: -- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens -- although it doesn't appear to help in this file, in any case. -- Porting note: we used to have: -- local attribute [tidy] tactic.op_induction' -- A possible replacement would be: -- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opposite -- but this would probably require https://github.com/JLimperg/aesop/issues/59 -- In any case, it doesn't seem necessary here. namespace AlgebraicGeometry -- Porting note: `PresheafSpace.{w} C` is the type of topological spaces in `Type w` equipped -- with a presheaf with values in `C`; then there is a total of three universe parameters -- in `PresheafSpace.{w, v, u} C`, where `C : Type u` and `Category.{v} C`. -- In mathlib3, some definitions in this file unnecessarily assumed `w=v`. This restriction -- has been removed. structure PresheafedSpace where carrier : TopCat protected presheaf : carrier.Presheaf C set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace AlgebraicGeometry.PresheafedSpace variable {C} namespace PresheafedSpace -- Porting note: using `Coe` here triggers an error, `CoeOut` seems an acceptable alternative instance coeCarrier : CoeOut (PresheafedSpace C) TopCat where coe X := X.carrier set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.coe_carrier AlgebraicGeometry.PresheafedSpace.coeCarrier attribute [coe] PresheafedSpace.carrier -- Porting note: we add this instance, as Lean does not reliably use the `CoeOut` instance above -- in downstream files. instance : CoeSort (PresheafedSpace C) Type* where coe := fun X => X.carrier -- Porting note: the following lemma is removed because it is a syntactic tauto set_option linter.uppercaseLean3 false in #noalign algebraic_geometry.PresheafedSpace.as_coe -- Porting note: removed @[simp] as the `simpVarHead` linter complains -- @[simp] theorem mk_coe (carrier) (presheaf) : (({ carrier presheaf } : PresheafedSpace C) : TopCat) = carrier := rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.mk_coe AlgebraicGeometry.PresheafedSpace.mk_coe instance (X : PresheafedSpace C) : TopologicalSpace X := X.carrier.str def const (X : TopCat) (Z : C) : PresheafedSpace C where carrier := X presheaf := (Functor.const _).obj Z set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.const AlgebraicGeometry.PresheafedSpace.const instance [Inhabited C] : Inhabited (PresheafedSpace C) := ⟨const (TopCat.of PEmpty) default⟩ structure Hom (X Y : PresheafedSpace C) where base : (X : TopCat) ⟶ (Y : TopCat) c : Y.presheaf ⟶ base _* X.presheaf set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.hom AlgebraicGeometry.PresheafedSpace.Hom -- Porting note: eventually, the ext lemma shall be applied to terms in `X ⟶ Y` -- rather than `Hom X Y`, this one was renamed `Hom.ext` instead of `ext`, -- and the more practical lemma `ext` is defined just after the definition -- of the `Category` instance @[ext]
Mathlib/Geometry/RingedSpace/PresheafedSpace.lean
112
121
theorem Hom.ext {X Y : PresheafedSpace C} (α β : Hom X Y) (w : α.base = β.base) (h : α.c ≫ whiskerRight (eqToHom (by rw [w])) _ = β.c) : α = β := by
rcases α with ⟨base, c⟩ rcases β with ⟨base', c'⟩ dsimp at w subst w dsimp at h erw [whiskerRight_id', comp_id] at h subst h rfl
import Mathlib.MeasureTheory.Integral.IntervalIntegral import Mathlib.Analysis.Calculus.Deriv.ZPow import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.Analysis.SpecialFunctions.NonIntegrable import Mathlib.Analysis.Analytic.Basic #align_import measure_theory.integral.circle_integral from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" variable {E : Type*} [NormedAddCommGroup E] noncomputable section open scoped Real NNReal Interval Pointwise Topology open Complex MeasureTheory TopologicalSpace Metric Function Set Filter Asymptotics def circleMap (c : ℂ) (R : ℝ) : ℝ → ℂ := fun θ => c + R * exp (θ * I) #align circle_map circleMap theorem periodic_circleMap (c : ℂ) (R : ℝ) : Periodic (circleMap c R) (2 * π) := fun θ => by simp [circleMap, add_mul, exp_periodic _] #align periodic_circle_map periodic_circleMap theorem Set.Countable.preimage_circleMap {s : Set ℂ} (hs : s.Countable) (c : ℂ) {R : ℝ} (hR : R ≠ 0) : (circleMap c R ⁻¹' s).Countable := show (((↑) : ℝ → ℂ) ⁻¹' ((· * I) ⁻¹' (exp ⁻¹' ((R * ·) ⁻¹' ((c + ·) ⁻¹' s))))).Countable from (((hs.preimage (add_right_injective _)).preimage <| mul_right_injective₀ <| ofReal_ne_zero.2 hR).preimage_cexp.preimage <| mul_left_injective₀ I_ne_zero).preimage ofReal_injective #align set.countable.preimage_circle_map Set.Countable.preimage_circleMap @[simp]
Mathlib/MeasureTheory/Integral/CircleIntegral.lean
105
106
theorem circleMap_sub_center (c : ℂ) (R : ℝ) (θ : ℝ) : circleMap c R θ - c = circleMap 0 R θ := by
simp [circleMap]
import Mathlib.NumberTheory.FLT.Basic import Mathlib.NumberTheory.PythagoreanTriples import Mathlib.RingTheory.Coprime.Lemmas import Mathlib.Tactic.LinearCombination #align_import number_theory.fermat4 from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1" noncomputable section open scoped Classical def Fermat42 (a b c : ℤ) : Prop := a ≠ 0 ∧ b ≠ 0 ∧ a ^ 4 + b ^ 4 = c ^ 2 #align fermat_42 Fermat42
Mathlib/NumberTheory/FLT/Four.lean
154
156
theorem Int.coprime_of_sq_sum {r s : ℤ} (h2 : IsCoprime s r) : IsCoprime (r ^ 2 + s ^ 2) r := by
rw [sq, sq] exact (IsCoprime.mul_left h2 h2).mul_add_left_left r
import Mathlib.Algebra.Group.Equiv.TypeTags import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Module.LinearMap.Basic import Mathlib.Algebra.MonoidAlgebra.Basic import Mathlib.LinearAlgebra.Dual import Mathlib.LinearAlgebra.Contraction import Mathlib.RingTheory.TensorProduct.Basic #align_import representation_theory.basic from "leanprover-community/mathlib"@"c04bc6e93e23aa0182aba53661a2211e80b6feac" open MonoidAlgebra (lift of) open LinearMap section variable (k G V : Type*) [CommSemiring k] [Monoid G] [AddCommMonoid V] [Module k V] abbrev Representation := G →* V →ₗ[k] V #align representation Representation end namespace Representation section MonoidAlgebra variable {k G V : Type*} [CommSemiring k] [Monoid G] [AddCommMonoid V] [Module k V] variable (ρ : Representation k G V) noncomputable def asAlgebraHom : MonoidAlgebra k G →ₐ[k] Module.End k V := (lift k G _) ρ #align representation.as_algebra_hom Representation.asAlgebraHom theorem asAlgebraHom_def : asAlgebraHom ρ = (lift k G _) ρ := rfl #align representation.as_algebra_hom_def Representation.asAlgebraHom_def @[simp] theorem asAlgebraHom_single (g : G) (r : k) : asAlgebraHom ρ (Finsupp.single g r) = r • ρ g := by simp only [asAlgebraHom_def, MonoidAlgebra.lift_single] #align representation.as_algebra_hom_single Representation.asAlgebraHom_single
Mathlib/RepresentationTheory/Basic.lean
110
110
theorem asAlgebraHom_single_one (g : G) : asAlgebraHom ρ (Finsupp.single g 1) = ρ g := by
simp
import Mathlib.Algebra.CharP.Invertible import Mathlib.Algebra.Order.Invertible import Mathlib.Algebra.Order.Module.OrderedSMul import Mathlib.Algebra.Order.Group.Instances import Mathlib.LinearAlgebra.AffineSpace.Slope import Mathlib.LinearAlgebra.AffineSpace.Midpoint import Mathlib.Tactic.FieldSimp #align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733" open AffineMap variable {k E PE : Type*} section OrderedRing variable [OrderedRing k] [OrderedAddCommGroup E] [Module k E] [OrderedSMul k E] variable {a a' b b' : E} {r r' : k} theorem lineMap_mono_left (ha : a ≤ a') (hr : r ≤ 1) : lineMap a b r ≤ lineMap a' b r := by simp only [lineMap_apply_module] exact add_le_add_right (smul_le_smul_of_nonneg_left ha (sub_nonneg.2 hr)) _ #align line_map_mono_left lineMap_mono_left theorem lineMap_strict_mono_left (ha : a < a') (hr : r < 1) : lineMap a b r < lineMap a' b r := by simp only [lineMap_apply_module] exact add_lt_add_right (smul_lt_smul_of_pos_left ha (sub_pos.2 hr)) _ #align line_map_strict_mono_left lineMap_strict_mono_left theorem lineMap_mono_right (hb : b ≤ b') (hr : 0 ≤ r) : lineMap a b r ≤ lineMap a b' r := by simp only [lineMap_apply_module] exact add_le_add_left (smul_le_smul_of_nonneg_left hb hr) _ #align line_map_mono_right lineMap_mono_right theorem lineMap_strict_mono_right (hb : b < b') (hr : 0 < r) : lineMap a b r < lineMap a b' r := by simp only [lineMap_apply_module] exact add_lt_add_left (smul_lt_smul_of_pos_left hb hr) _ #align line_map_strict_mono_right lineMap_strict_mono_right theorem lineMap_mono_endpoints (ha : a ≤ a') (hb : b ≤ b') (h₀ : 0 ≤ r) (h₁ : r ≤ 1) : lineMap a b r ≤ lineMap a' b' r := (lineMap_mono_left ha h₁).trans (lineMap_mono_right hb h₀) #align line_map_mono_endpoints lineMap_mono_endpoints theorem lineMap_strict_mono_endpoints (ha : a < a') (hb : b < b') (h₀ : 0 ≤ r) (h₁ : r ≤ 1) : lineMap a b r < lineMap a' b' r := by rcases h₀.eq_or_lt with (rfl | h₀); · simpa exact (lineMap_mono_left ha.le h₁).trans_lt (lineMap_strict_mono_right hb h₀) #align line_map_strict_mono_endpoints lineMap_strict_mono_endpoints
Mathlib/LinearAlgebra/AffineSpace/Ordered.lean
83
86
theorem lineMap_lt_lineMap_iff_of_lt (h : r < r') : lineMap a b r < lineMap a b r' ↔ a < b := by
simp only [lineMap_apply_module] rw [← lt_sub_iff_add_lt, add_sub_assoc, ← sub_lt_iff_lt_add', ← sub_smul, ← sub_smul, sub_sub_sub_cancel_left, smul_lt_smul_iff_of_pos_left (sub_pos.2 h)]
import Mathlib.Data.Matrix.Basic import Mathlib.Data.Matrix.RowCol import Mathlib.Data.Fin.VecNotation import Mathlib.Tactic.FinCases #align_import data.matrix.notation from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a" namespace Matrix universe u uₘ uₙ uₒ variable {α : Type u} {o n m : ℕ} {m' : Type uₘ} {n' : Type uₙ} {o' : Type uₒ} open Matrix variable (a b : ℕ) instance repr [Repr α] : Repr (Matrix (Fin m) (Fin n) α) where reprPrec f _p := (Std.Format.bracket "!![" · "]") <| (Std.Format.joinSep · (";" ++ Std.Format.line)) <| (List.finRange m).map fun i => Std.Format.fill <| -- wrap line in a single place rather than all at once (Std.Format.joinSep · ("," ++ Std.Format.line)) <| (List.finRange n).map fun j => _root_.repr (f i j) #align matrix.has_repr Matrix.repr @[simp] theorem cons_val' (v : n' → α) (B : Fin m → n' → α) (i j) : vecCons v B i j = vecCons (v j) (fun i => B i j) i := by refine Fin.cases ?_ ?_ i <;> simp #align matrix.cons_val' Matrix.cons_val' @[simp, nolint simpNF] -- Porting note: LHS does not simplify. theorem head_val' (B : Fin m.succ → n' → α) (j : n') : (vecHead fun i => B i j) = vecHead B j := rfl #align matrix.head_val' Matrix.head_val' @[simp, nolint simpNF] -- Porting note: LHS does not simplify. theorem tail_val' (B : Fin m.succ → n' → α) (j : n') : (vecTail fun i => B i j) = fun i => vecTail B i j := rfl #align matrix.tail_val' Matrix.tail_val' section DotProduct variable [AddCommMonoid α] [Mul α] @[simp] theorem dotProduct_empty (v w : Fin 0 → α) : dotProduct v w = 0 := Finset.sum_empty #align matrix.dot_product_empty Matrix.dotProduct_empty @[simp] theorem cons_dotProduct (x : α) (v : Fin n → α) (w : Fin n.succ → α) : dotProduct (vecCons x v) w = x * vecHead w + dotProduct v (vecTail w) := by simp [dotProduct, Fin.sum_univ_succ, vecHead, vecTail] #align matrix.cons_dot_product Matrix.cons_dotProduct @[simp] theorem dotProduct_cons (v : Fin n.succ → α) (x : α) (w : Fin n → α) : dotProduct v (vecCons x w) = vecHead v * x + dotProduct (vecTail v) w := by simp [dotProduct, Fin.sum_univ_succ, vecHead, vecTail] #align matrix.dot_product_cons Matrix.dotProduct_cons -- @[simp] -- Porting note (#10618): simp can prove this
Mathlib/Data/Matrix/Notation.lean
174
175
theorem cons_dotProduct_cons (x : α) (v : Fin n → α) (y : α) (w : Fin n → α) : dotProduct (vecCons x v) (vecCons y w) = x * y + dotProduct v w := by
simp
import Mathlib.Topology.UniformSpace.Cauchy import Mathlib.Topology.UniformSpace.Separation import Mathlib.Topology.DenseEmbedding #align_import topology.uniform_space.uniform_embedding from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c" open Filter Function Set Uniformity Topology section universe u v w variable {α : Type u} {β : Type v} {γ : Type w} [UniformSpace α] [UniformSpace β] [UniformSpace γ] @[mk_iff] structure UniformInducing (f : α → β) : Prop where comap_uniformity : comap (fun x : α × α => (f x.1, f x.2)) (𝓤 β) = 𝓤 α #align uniform_inducing UniformInducing #align uniform_inducing_iff uniformInducing_iff lemma uniformInducing_iff_uniformSpace {f : α → β} : UniformInducing f ↔ ‹UniformSpace β›.comap f = ‹UniformSpace α› := by rw [uniformInducing_iff, UniformSpace.ext_iff, Filter.ext_iff] rfl protected alias ⟨UniformInducing.comap_uniformSpace, _⟩ := uniformInducing_iff_uniformSpace #align uniform_inducing.comap_uniform_space UniformInducing.comap_uniformSpace lemma uniformInducing_iff' {f : α → β} : UniformInducing f ↔ UniformContinuous f ∧ comap (Prod.map f f) (𝓤 β) ≤ 𝓤 α := by rw [uniformInducing_iff, UniformContinuous, tendsto_iff_comap, le_antisymm_iff, and_comm]; rfl #align uniform_inducing_iff' uniformInducing_iff' protected lemma Filter.HasBasis.uniformInducing_iff {ι ι'} {p : ι → Prop} {p' : ι' → Prop} {s s'} (h : (𝓤 α).HasBasis p s) (h' : (𝓤 β).HasBasis p' s') {f : α → β} : UniformInducing f ↔ (∀ i, p' i → ∃ j, p j ∧ ∀ x y, (x, y) ∈ s j → (f x, f y) ∈ s' i) ∧ (∀ j, p j → ∃ i, p' i ∧ ∀ x y, (f x, f y) ∈ s' i → (x, y) ∈ s j) := by simp [uniformInducing_iff', h.uniformContinuous_iff h', (h'.comap _).le_basis_iff h, subset_def] #align filter.has_basis.uniform_inducing_iff Filter.HasBasis.uniformInducing_iff theorem UniformInducing.mk' {f : α → β} (h : ∀ s, s ∈ 𝓤 α ↔ ∃ t ∈ 𝓤 β, ∀ x y : α, (f x, f y) ∈ t → (x, y) ∈ s) : UniformInducing f := ⟨by simp [eq_comm, Filter.ext_iff, subset_def, h]⟩ #align uniform_inducing.mk' UniformInducing.mk' theorem uniformInducing_id : UniformInducing (@id α) := ⟨by rw [← Prod.map_def, Prod.map_id, comap_id]⟩ #align uniform_inducing_id uniformInducing_id theorem UniformInducing.comp {g : β → γ} (hg : UniformInducing g) {f : α → β} (hf : UniformInducing f) : UniformInducing (g ∘ f) := ⟨by rw [← hf.1, ← hg.1, comap_comap]; rfl⟩ #align uniform_inducing.comp UniformInducing.comp theorem UniformInducing.of_comp_iff {g : β → γ} (hg : UniformInducing g) {f : α → β} : UniformInducing (g ∘ f) ↔ UniformInducing f := by refine ⟨fun h ↦ ?_, hg.comp⟩ rw [uniformInducing_iff, ← hg.comap_uniformity, comap_comap, ← h.comap_uniformity, Function.comp, Function.comp] theorem UniformInducing.basis_uniformity {f : α → β} (hf : UniformInducing f) {ι : Sort*} {p : ι → Prop} {s : ι → Set (β × β)} (H : (𝓤 β).HasBasis p s) : (𝓤 α).HasBasis p fun i => Prod.map f f ⁻¹' s i := hf.1 ▸ H.comap _ #align uniform_inducing.basis_uniformity UniformInducing.basis_uniformity theorem UniformInducing.cauchy_map_iff {f : α → β} (hf : UniformInducing f) {F : Filter α} : Cauchy (map f F) ↔ Cauchy F := by simp only [Cauchy, map_neBot_iff, prod_map_map_eq, map_le_iff_le_comap, ← hf.comap_uniformity] #align uniform_inducing.cauchy_map_iff UniformInducing.cauchy_map_iff theorem uniformInducing_of_compose {f : α → β} {g : β → γ} (hf : UniformContinuous f) (hg : UniformContinuous g) (hgf : UniformInducing (g ∘ f)) : UniformInducing f := by refine ⟨le_antisymm ?_ hf.le_comap⟩ rw [← hgf.1, ← Prod.map_def, ← Prod.map_def, ← Prod.map_comp_map f f g g, ← comap_comap] exact comap_mono hg.le_comap #align uniform_inducing_of_compose uniformInducing_of_compose theorem UniformInducing.uniformContinuous {f : α → β} (hf : UniformInducing f) : UniformContinuous f := (uniformInducing_iff'.1 hf).1 #align uniform_inducing.uniform_continuous UniformInducing.uniformContinuous theorem UniformInducing.uniformContinuous_iff {f : α → β} {g : β → γ} (hg : UniformInducing g) : UniformContinuous f ↔ UniformContinuous (g ∘ f) := by dsimp only [UniformContinuous, Tendsto] rw [← hg.comap_uniformity, ← map_le_iff_le_comap, Filter.map_map]; rfl #align uniform_inducing.uniform_continuous_iff UniformInducing.uniformContinuous_iff theorem UniformInducing.uniformContinuousOn_iff {f : α → β} {g : β → γ} {S : Set α} (hg : UniformInducing g) : UniformContinuousOn f S ↔ UniformContinuousOn (g ∘ f) S := by dsimp only [UniformContinuousOn, Tendsto] rw [← hg.comap_uniformity, ← map_le_iff_le_comap, Filter.map_map, comp_def, comp_def]
Mathlib/Topology/UniformSpace/UniformEmbedding.lean
116
118
theorem UniformInducing.inducing {f : α → β} (h : UniformInducing f) : Inducing f := by
obtain rfl := h.comap_uniformSpace exact inducing_induced f
import Mathlib.Data.Matrix.Invertible import Mathlib.LinearAlgebra.Matrix.Adjugate import Mathlib.LinearAlgebra.FiniteDimensional #align_import linear_algebra.matrix.nonsingular_inverse from "leanprover-community/mathlib"@"722b3b152ddd5e0cf21c0a29787c76596cb6b422" namespace Matrix universe u u' v variable {l : Type*} {m : Type u} {n : Type u'} {α : Type v} open Matrix Equiv Equiv.Perm Finset section Invertible variable [Fintype n] [DecidableEq n] [CommRing α] variable (A : Matrix n n α) (B : Matrix n n α) def invertibleOfDetInvertible [Invertible A.det] : Invertible A where invOf := ⅟ A.det • A.adjugate mul_invOf_self := by rw [mul_smul_comm, mul_adjugate, smul_smul, invOf_mul_self, one_smul] invOf_mul_self := by rw [smul_mul_assoc, adjugate_mul, smul_smul, invOf_mul_self, one_smul] #align matrix.invertible_of_det_invertible Matrix.invertibleOfDetInvertible
Mathlib/LinearAlgebra/Matrix/NonsingularInverse.lean
79
81
theorem invOf_eq [Invertible A.det] [Invertible A] : ⅟ A = ⅟ A.det • A.adjugate := by
letI := invertibleOfDetInvertible A convert (rfl : ⅟ A = _)
import Mathlib.Data.Finset.Lattice import Mathlib.Data.Fintype.Vector import Mathlib.Data.Multiset.Sym #align_import data.finset.sym from "leanprover-community/mathlib"@"02ba8949f486ebecf93fe7460f1ed0564b5e442c" namespace Finset variable {α : Type*} @[simps] protected def sym2 (s : Finset α) : Finset (Sym2 α) := ⟨s.1.sym2, s.2.sym2⟩ #align finset.sym2 Finset.sym2 section variable {s t : Finset α} {a b : α} theorem mk_mem_sym2_iff : s(a, b) ∈ s.sym2 ↔ a ∈ s ∧ b ∈ s := by rw [mem_mk, sym2_val, Multiset.mk_mem_sym2_iff, mem_mk, mem_mk] #align finset.mk_mem_sym2_iff Finset.mk_mem_sym2_iff @[simp] theorem mem_sym2_iff {m : Sym2 α} : m ∈ s.sym2 ↔ ∀ a ∈ m, a ∈ s := by rw [mem_mk, sym2_val, Multiset.mem_sym2_iff] simp only [mem_val] #align finset.mem_sym2_iff Finset.mem_sym2_iff instance _root_.Sym2.instFintype [Fintype α] : Fintype (Sym2 α) where elems := Finset.univ.sym2 complete := fun x ↦ by rw [mem_sym2_iff]; exact (fun a _ ↦ mem_univ a) -- Note(kmill): Using a default argument to make this simp lemma more general. @[simp] theorem sym2_univ [Fintype α] (inst : Fintype (Sym2 α) := Sym2.instFintype) : (univ : Finset α).sym2 = univ := by ext simp only [mem_sym2_iff, mem_univ, implies_true] #align finset.sym2_univ Finset.sym2_univ @[simp, mono] theorem sym2_mono (h : s ⊆ t) : s.sym2 ⊆ t.sym2 := by rw [← val_le_iff, sym2_val, sym2_val] apply Multiset.sym2_mono rwa [val_le_iff] #align finset.sym2_mono Finset.sym2_mono theorem monotone_sym2 : Monotone (Finset.sym2 : Finset α → _) := fun _ _ => sym2_mono theorem injective_sym2 : Function.Injective (Finset.sym2 : Finset α → _) := by intro s t h ext x simpa using congr(s(x, x) ∈ $h) theorem strictMono_sym2 : StrictMono (Finset.sym2 : Finset α → _) := monotone_sym2.strictMono_of_injective injective_sym2 theorem sym2_toFinset [DecidableEq α] (m : Multiset α) : m.toFinset.sym2 = m.sym2.toFinset := by ext z refine z.ind fun x y ↦ ?_ simp only [mk_mem_sym2_iff, Multiset.mem_toFinset, Multiset.mk_mem_sym2_iff] @[simp] theorem sym2_empty : (∅ : Finset α).sym2 = ∅ := rfl #align finset.sym2_empty Finset.sym2_empty @[simp] theorem sym2_eq_empty : s.sym2 = ∅ ↔ s = ∅ := by rw [← val_eq_zero, sym2_val, Multiset.sym2_eq_zero_iff, val_eq_zero] #align finset.sym2_eq_empty Finset.sym2_eq_empty @[simp, aesop safe apply (rule_sets := [finsetNonempty])]
Mathlib/Data/Finset/Sym.lean
101
103
theorem sym2_nonempty : s.sym2.Nonempty ↔ s.Nonempty := by
rw [← not_iff_not] simp_rw [not_nonempty_iff_eq_empty, sym2_eq_empty]
import Mathlib.MeasureTheory.Function.StronglyMeasurable.Lp import Mathlib.MeasureTheory.Integral.Bochner import Mathlib.Order.Filter.IndicatorFunction import Mathlib.MeasureTheory.Function.StronglyMeasurable.Inner import Mathlib.MeasureTheory.Function.LpSeminorm.Trim #align_import measure_theory.function.conditional_expectation.ae_measurable from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e" set_option linter.uppercaseLean3 false open TopologicalSpace Filter open scoped ENNReal MeasureTheory namespace MeasureTheory def AEStronglyMeasurable' {α β} [TopologicalSpace β] (m : MeasurableSpace α) {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) : Prop := ∃ g : α → β, StronglyMeasurable[m] g ∧ f =ᵐ[μ] g #align measure_theory.ae_strongly_measurable' MeasureTheory.AEStronglyMeasurable' namespace AEStronglyMeasurable' variable {α β 𝕜 : Type*} {m m0 : MeasurableSpace α} {μ : Measure α} [TopologicalSpace β] {f g : α → β} theorem congr (hf : AEStronglyMeasurable' m f μ) (hfg : f =ᵐ[μ] g) : AEStronglyMeasurable' m g μ := by obtain ⟨f', hf'_meas, hff'⟩ := hf; exact ⟨f', hf'_meas, hfg.symm.trans hff'⟩ #align measure_theory.ae_strongly_measurable'.congr MeasureTheory.AEStronglyMeasurable'.congr theorem mono {m'} (hf : AEStronglyMeasurable' m f μ) (hm : m ≤ m') : AEStronglyMeasurable' m' f μ := let ⟨f', hf'_meas, hff'⟩ := hf; ⟨f', hf'_meas.mono hm, hff'⟩ theorem add [Add β] [ContinuousAdd β] (hf : AEStronglyMeasurable' m f μ) (hg : AEStronglyMeasurable' m g μ) : AEStronglyMeasurable' m (f + g) μ := by rcases hf with ⟨f', h_f'_meas, hff'⟩ rcases hg with ⟨g', h_g'_meas, hgg'⟩ exact ⟨f' + g', h_f'_meas.add h_g'_meas, hff'.add hgg'⟩ #align measure_theory.ae_strongly_measurable'.add MeasureTheory.AEStronglyMeasurable'.add
Mathlib/MeasureTheory/Function/ConditionalExpectation/AEMeasurable.lean
78
83
theorem neg [AddGroup β] [TopologicalAddGroup β] {f : α → β} (hfm : AEStronglyMeasurable' m f μ) : AEStronglyMeasurable' m (-f) μ := by
rcases hfm with ⟨f', hf'_meas, hf_ae⟩ refine ⟨-f', hf'_meas.neg, hf_ae.mono fun x hx => ?_⟩ simp_rw [Pi.neg_apply] rw [hx]
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 variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {p : ℝ≥0∞} {q : ℝ} {μ : Measure α} {f g : α → E} theorem snorm'_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hq1 : 1 ≤ q) : snorm' (f + g) q μ ≤ snorm' f q μ + snorm' g q μ := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ snorm' f q μ + snorm' g q μ := ENNReal.lintegral_Lp_add_le hf.ennnorm hg.ennnorm hq1 #align measure_theory.snorm'_add_le MeasureTheory.snorm'_add_le
Mathlib/MeasureTheory/Function/LpSeminorm/TriangleInequality.lean
36
44
theorem snorm'_add_le_of_le_one {f g : α → E} (hf : AEStronglyMeasurable f μ) (hq0 : 0 ≤ q) (hq1 : q ≤ 1) : snorm' (f + g) q μ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by
gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := ENNReal.lintegral_Lp_add_le_of_le_one hf.ennnorm hq0 hq1
import Mathlib.Algebra.Module.Torsion import Mathlib.SetTheory.Cardinal.Cofinality import Mathlib.LinearAlgebra.FreeModule.Finite.Basic import Mathlib.LinearAlgebra.Dimension.StrongRankCondition #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u v v' w variable {R : Type u} {M M₁ : Type v} {M' : Type v'} {ι : Type w} variable [Ring R] [AddCommGroup M] [AddCommGroup M'] [AddCommGroup M₁] variable [Module R M] [Module R M'] [Module R M₁] attribute [local instance] nontrivial_of_invariantBasisNumber open Cardinal Basis Submodule Function Set FiniteDimensional
Mathlib/LinearAlgebra/Dimension/Finite.lean
34
40
theorem rank_le {n : ℕ} (H : ∀ s : Finset M, (LinearIndependent R fun i : s => (i : M)) → s.card ≤ n) : Module.rank R M ≤ n := by
rw [Module.rank_def] apply ciSup_le' rintro ⟨s, li⟩ exact linearIndependent_bounded_of_finset_linearIndependent_bounded H _ li
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 _ _)
import Mathlib.Analysis.Convex.Cone.Basic import Mathlib.Data.Real.Archimedean import Mathlib.LinearAlgebra.LinearPMap #align_import analysis.convex.cone.basic from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4" open Set LinearMap variable {𝕜 E F G : Type*} variable [AddCommGroup E] [Module ℝ E] namespace RieszExtension open Submodule variable (s : ConvexCone ℝ E) (f : E →ₗ.[ℝ] ℝ) theorem step (nonneg : ∀ x : f.domain, (x : E) ∈ s → 0 ≤ f x) (dense : ∀ y, ∃ x : f.domain, (x : E) + y ∈ s) (hdom : f.domain ≠ ⊤) : ∃ g, f < g ∧ ∀ x : g.domain, (x : E) ∈ s → 0 ≤ g x := by obtain ⟨y, -, hy⟩ : ∃ y ∈ ⊤, y ∉ f.domain := SetLike.exists_of_lt (lt_top_iff_ne_top.2 hdom) obtain ⟨c, le_c, c_le⟩ : ∃ c, (∀ x : f.domain, -(x : E) - y ∈ s → f x ≤ c) ∧ ∀ x : f.domain, (x : E) + y ∈ s → c ≤ f x := by set Sp := f '' { x : f.domain | (x : E) + y ∈ s } set Sn := f '' { x : f.domain | -(x : E) - y ∈ s } suffices (upperBounds Sn ∩ lowerBounds Sp).Nonempty by simpa only [Set.Nonempty, upperBounds, lowerBounds, forall_mem_image] using this refine exists_between_of_forall_le (Nonempty.image f ?_) (Nonempty.image f (dense y)) ?_ · rcases dense (-y) with ⟨x, hx⟩ rw [← neg_neg x, NegMemClass.coe_neg, ← sub_eq_add_neg] at hx exact ⟨_, hx⟩ rintro a ⟨xn, hxn, rfl⟩ b ⟨xp, hxp, rfl⟩ have := s.add_mem hxp hxn rw [add_assoc, add_sub_cancel, ← sub_eq_add_neg, ← AddSubgroupClass.coe_sub] at this replace := nonneg _ this rwa [f.map_sub, sub_nonneg] at this -- Porting note: removed an unused `have` refine ⟨f.supSpanSingleton y (-c) hy, ?_, ?_⟩ · refine lt_iff_le_not_le.2 ⟨f.left_le_sup _ _, fun H => ?_⟩ replace H := LinearPMap.domain_mono.monotone H rw [LinearPMap.domain_supSpanSingleton, sup_le_iff, span_le, singleton_subset_iff] at H exact hy H.2 · rintro ⟨z, hz⟩ hzs rcases mem_sup.1 hz with ⟨x, hx, y', hy', rfl⟩ rcases mem_span_singleton.1 hy' with ⟨r, rfl⟩ simp only [Subtype.coe_mk] at hzs erw [LinearPMap.supSpanSingleton_apply_mk _ _ _ _ _ hx, smul_neg, ← sub_eq_add_neg, sub_nonneg] rcases lt_trichotomy r 0 with (hr | hr | hr) · have : -(r⁻¹ • x) - y ∈ s := by rwa [← s.smul_mem_iff (neg_pos.2 hr), smul_sub, smul_neg, neg_smul, neg_neg, smul_smul, mul_inv_cancel hr.ne, one_smul, sub_eq_add_neg, neg_smul, neg_neg] -- Porting note: added type annotation and `by exact` replace : f (r⁻¹ • ⟨x, hx⟩) ≤ c := le_c (r⁻¹ • ⟨x, hx⟩) (by exact this) rwa [← mul_le_mul_left (neg_pos.2 hr), neg_mul, neg_mul, neg_le_neg_iff, f.map_smul, smul_eq_mul, ← mul_assoc, mul_inv_cancel hr.ne, one_mul] at this · subst r simp only [zero_smul, add_zero] at hzs ⊢ apply nonneg exact hzs · have : r⁻¹ • x + y ∈ s := by rwa [← s.smul_mem_iff hr, smul_add, smul_smul, mul_inv_cancel hr.ne', one_smul] -- Porting note: added type annotation and `by exact` replace : c ≤ f (r⁻¹ • ⟨x, hx⟩) := c_le (r⁻¹ • ⟨x, hx⟩) (by exact this) rwa [← mul_le_mul_left hr, f.map_smul, smul_eq_mul, ← mul_assoc, mul_inv_cancel hr.ne', one_mul] at this #align riesz_extension.step RieszExtension.step
Mathlib/Analysis/Convex/Cone/Extension.lean
115
139
theorem exists_top (p : E →ₗ.[ℝ] ℝ) (hp_nonneg : ∀ x : p.domain, (x : E) ∈ s → 0 ≤ p x) (hp_dense : ∀ y, ∃ x : p.domain, (x : E) + y ∈ s) : ∃ q ≥ p, q.domain = ⊤ ∧ ∀ x : q.domain, (x : E) ∈ s → 0 ≤ q x := by
set S := { p : E →ₗ.[ℝ] ℝ | ∀ x : p.domain, (x : E) ∈ s → 0 ≤ p x } have hSc : ∀ c, c ⊆ S → IsChain (· ≤ ·) c → ∀ y ∈ c, ∃ ub ∈ S, ∀ z ∈ c, z ≤ ub := by intro c hcs c_chain y hy clear hp_nonneg hp_dense p have cne : c.Nonempty := ⟨y, hy⟩ have hcd : DirectedOn (· ≤ ·) c := c_chain.directedOn refine ⟨LinearPMap.sSup c hcd, ?_, fun _ ↦ LinearPMap.le_sSup hcd⟩ rintro ⟨x, hx⟩ hxs have hdir : DirectedOn (· ≤ ·) (LinearPMap.domain '' c) := directedOn_image.2 (hcd.mono LinearPMap.domain_mono.monotone) rcases (mem_sSup_of_directed (cne.image _) hdir).1 hx with ⟨_, ⟨f, hfc, rfl⟩, hfx⟩ have : f ≤ LinearPMap.sSup c hcd := LinearPMap.le_sSup _ hfc convert ← hcs hfc ⟨x, hfx⟩ hxs using 1 exact this.2 rfl obtain ⟨q, hqs, hpq, hq⟩ := zorn_nonempty_partialOrder₀ S hSc p hp_nonneg refine ⟨q, hpq, ?_, hqs⟩ contrapose! hq have hqd : ∀ y, ∃ x : q.domain, (x : E) + y ∈ s := fun y ↦ let ⟨x, hx⟩ := hp_dense y ⟨Submodule.inclusion hpq.left x, hx⟩ rcases step s q hqs hqd hq with ⟨r, hqr, hr⟩ exact ⟨r, hr, hqr.le, hqr.ne'⟩
import Mathlib.Dynamics.FixedPoints.Basic import Mathlib.GroupTheory.Perm.Option import Mathlib.Logic.Equiv.Defs import Mathlib.Logic.Equiv.Option #align_import combinatorics.derangements.basic from "leanprover-community/mathlib"@"9407b03373c8cd201df99d6bc5514fc2db44054f" open Equiv Function def derangements (α : Type*) : Set (Perm α) := { f : Perm α | ∀ x : α, f x ≠ x } #align derangements derangements variable {α β : Type*} theorem mem_derangements_iff_fixedPoints_eq_empty {f : Perm α} : f ∈ derangements α ↔ fixedPoints f = ∅ := Set.eq_empty_iff_forall_not_mem.symm #align mem_derangements_iff_fixed_points_eq_empty mem_derangements_iff_fixedPoints_eq_empty def Equiv.derangementsCongr (e : α ≃ β) : derangements α ≃ derangements β := e.permCongr.subtypeEquiv fun {f} => e.forall_congr <| by intro b; simp only [ne_eq, permCongr_apply, symm_apply_apply, EmbeddingLike.apply_eq_iff_eq] #align equiv.derangements_congr Equiv.derangementsCongr namespace derangements protected def subtypeEquiv (p : α → Prop) [DecidablePred p] : derangements (Subtype p) ≃ { f : Perm α // ∀ a, ¬p a ↔ a ∈ fixedPoints f } := calc derangements (Subtype p) ≃ { f : { f : Perm α // ∀ a, ¬p a → a ∈ fixedPoints f } // ∀ a, a ∈ fixedPoints f → ¬p a } := by refine (Perm.subtypeEquivSubtypePerm p).subtypeEquiv fun f => ⟨fun hf a hfa ha => ?_, ?_⟩ · refine hf ⟨a, ha⟩ (Subtype.ext ?_) simp_rw [mem_fixedPoints, IsFixedPt, Perm.subtypeEquivSubtypePerm, Equiv.coe_fn_mk, Perm.ofSubtype_apply_of_mem _ ha] at hfa assumption rintro hf ⟨a, ha⟩ hfa refine hf _ ?_ ha simp only [Perm.subtypeEquivSubtypePerm_apply_coe, mem_fixedPoints] dsimp [IsFixedPt] simp_rw [Perm.ofSubtype_apply_of_mem _ ha, hfa] _ ≃ { f : Perm α // ∃ _h : ∀ a, ¬p a → a ∈ fixedPoints f, ∀ a, a ∈ fixedPoints f → ¬p a } := subtypeSubtypeEquivSubtypeExists _ _ _ ≃ { f : Perm α // ∀ a, ¬p a ↔ a ∈ fixedPoints f } := subtypeEquivRight fun f => by simp_rw [exists_prop, ← forall_and, ← iff_iff_implies_and_implies] #align derangements.subtype_equiv derangements.subtypeEquiv universe u def atMostOneFixedPointEquivSum_derangements [DecidableEq α] (a : α) : { f : Perm α // fixedPoints f ⊆ {a} } ≃ Sum (derangements ({a}ᶜ : Set α)) (derangements α) := calc { f : Perm α // fixedPoints f ⊆ {a} } ≃ Sum { f : { f : Perm α // fixedPoints f ⊆ {a} } // a ∈ fixedPoints f } { f : { f : Perm α // fixedPoints f ⊆ {a} } // a ∉ fixedPoints f } := (Equiv.sumCompl _).symm _ ≃ Sum { f : Perm α // fixedPoints f ⊆ {a} ∧ a ∈ fixedPoints f } { f : Perm α // fixedPoints f ⊆ {a} ∧ a ∉ fixedPoints f } := by -- Porting note: `subtypeSubtypeEquivSubtypeInter` no longer works with placeholder `_`s. refine Equiv.sumCongr ?_ ?_ · exact subtypeSubtypeEquivSubtypeInter (fun x : Perm α => fixedPoints x ⊆ {a}) (a ∈ fixedPoints ·) · exact subtypeSubtypeEquivSubtypeInter (fun x : Perm α => fixedPoints x ⊆ {a}) (¬a ∈ fixedPoints ·) _ ≃ Sum { f : Perm α // fixedPoints f = {a} } { f : Perm α // fixedPoints f = ∅ } := by refine Equiv.sumCongr (subtypeEquivRight fun f => ?_) (subtypeEquivRight fun f => ?_) · rw [Set.eq_singleton_iff_unique_mem, and_comm] rfl · rw [Set.eq_empty_iff_forall_not_mem] exact ⟨fun h x hx => h.2 (h.1 hx ▸ hx), fun h => ⟨fun x hx => (h _ hx).elim, h _⟩⟩ _ ≃ Sum (derangements ({a}ᶜ : Set α)) (derangements α) := by -- Porting note: was `subtypeEquiv _` but now needs the placeholder to be provided explicitly refine Equiv.sumCongr ((derangements.subtypeEquiv (· ∈ ({a}ᶜ : Set α))).trans <| subtypeEquivRight fun x => ?_).symm (subtypeEquivRight fun f => mem_derangements_iff_fixedPoints_eq_empty.symm) rw [eq_comm, Set.ext_iff] simp_rw [Set.mem_compl_iff, Classical.not_not] #align derangements.at_most_one_fixed_point_equiv_sum_derangements derangements.atMostOneFixedPointEquivSum_derangements namespace Equiv variable [DecidableEq α] def RemoveNone.fiber (a : Option α) : Set (Perm α) := { f : Perm α | (a, f) ∈ Equiv.Perm.decomposeOption '' derangements (Option α) } #align derangements.equiv.remove_none.fiber derangements.Equiv.RemoveNone.fiber
Mathlib/Combinatorics/Derangements/Basic.lean
123
126
theorem RemoveNone.mem_fiber (a : Option α) (f : Perm α) : f ∈ RemoveNone.fiber a ↔ ∃ F : Perm (Option α), F ∈ derangements (Option α) ∧ F none = a ∧ removeNone F = f := by
simp [RemoveNone.fiber, derangements]
import Mathlib.Topology.UniformSpace.Cauchy import Mathlib.Topology.UniformSpace.Separation import Mathlib.Topology.DenseEmbedding #align_import topology.uniform_space.uniform_embedding from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c" open Filter Function Set Uniformity Topology section universe u v w variable {α : Type u} {β : Type v} {γ : Type w} [UniformSpace α] [UniformSpace β] [UniformSpace γ] @[mk_iff] structure UniformInducing (f : α → β) : Prop where comap_uniformity : comap (fun x : α × α => (f x.1, f x.2)) (𝓤 β) = 𝓤 α #align uniform_inducing UniformInducing #align uniform_inducing_iff uniformInducing_iff lemma uniformInducing_iff_uniformSpace {f : α → β} : UniformInducing f ↔ ‹UniformSpace β›.comap f = ‹UniformSpace α› := by rw [uniformInducing_iff, UniformSpace.ext_iff, Filter.ext_iff] rfl protected alias ⟨UniformInducing.comap_uniformSpace, _⟩ := uniformInducing_iff_uniformSpace #align uniform_inducing.comap_uniform_space UniformInducing.comap_uniformSpace lemma uniformInducing_iff' {f : α → β} : UniformInducing f ↔ UniformContinuous f ∧ comap (Prod.map f f) (𝓤 β) ≤ 𝓤 α := by rw [uniformInducing_iff, UniformContinuous, tendsto_iff_comap, le_antisymm_iff, and_comm]; rfl #align uniform_inducing_iff' uniformInducing_iff' protected lemma Filter.HasBasis.uniformInducing_iff {ι ι'} {p : ι → Prop} {p' : ι' → Prop} {s s'} (h : (𝓤 α).HasBasis p s) (h' : (𝓤 β).HasBasis p' s') {f : α → β} : UniformInducing f ↔ (∀ i, p' i → ∃ j, p j ∧ ∀ x y, (x, y) ∈ s j → (f x, f y) ∈ s' i) ∧ (∀ j, p j → ∃ i, p' i ∧ ∀ x y, (f x, f y) ∈ s' i → (x, y) ∈ s j) := by simp [uniformInducing_iff', h.uniformContinuous_iff h', (h'.comap _).le_basis_iff h, subset_def] #align filter.has_basis.uniform_inducing_iff Filter.HasBasis.uniformInducing_iff theorem UniformInducing.mk' {f : α → β} (h : ∀ s, s ∈ 𝓤 α ↔ ∃ t ∈ 𝓤 β, ∀ x y : α, (f x, f y) ∈ t → (x, y) ∈ s) : UniformInducing f := ⟨by simp [eq_comm, Filter.ext_iff, subset_def, h]⟩ #align uniform_inducing.mk' UniformInducing.mk' theorem uniformInducing_id : UniformInducing (@id α) := ⟨by rw [← Prod.map_def, Prod.map_id, comap_id]⟩ #align uniform_inducing_id uniformInducing_id theorem UniformInducing.comp {g : β → γ} (hg : UniformInducing g) {f : α → β} (hf : UniformInducing f) : UniformInducing (g ∘ f) := ⟨by rw [← hf.1, ← hg.1, comap_comap]; rfl⟩ #align uniform_inducing.comp UniformInducing.comp theorem UniformInducing.of_comp_iff {g : β → γ} (hg : UniformInducing g) {f : α → β} : UniformInducing (g ∘ f) ↔ UniformInducing f := by refine ⟨fun h ↦ ?_, hg.comp⟩ rw [uniformInducing_iff, ← hg.comap_uniformity, comap_comap, ← h.comap_uniformity, Function.comp, Function.comp] theorem UniformInducing.basis_uniformity {f : α → β} (hf : UniformInducing f) {ι : Sort*} {p : ι → Prop} {s : ι → Set (β × β)} (H : (𝓤 β).HasBasis p s) : (𝓤 α).HasBasis p fun i => Prod.map f f ⁻¹' s i := hf.1 ▸ H.comap _ #align uniform_inducing.basis_uniformity UniformInducing.basis_uniformity theorem UniformInducing.cauchy_map_iff {f : α → β} (hf : UniformInducing f) {F : Filter α} : Cauchy (map f F) ↔ Cauchy F := by simp only [Cauchy, map_neBot_iff, prod_map_map_eq, map_le_iff_le_comap, ← hf.comap_uniformity] #align uniform_inducing.cauchy_map_iff UniformInducing.cauchy_map_iff
Mathlib/Topology/UniformSpace/UniformEmbedding.lean
93
97
theorem uniformInducing_of_compose {f : α → β} {g : β → γ} (hf : UniformContinuous f) (hg : UniformContinuous g) (hgf : UniformInducing (g ∘ f)) : UniformInducing f := by
refine ⟨le_antisymm ?_ hf.le_comap⟩ rw [← hgf.1, ← Prod.map_def, ← Prod.map_def, ← Prod.map_comp_map f f g g, ← comap_comap] exact comap_mono hg.le_comap
import Mathlib.Analysis.InnerProductSpace.Projection import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.UnitaryGroup #align_import analysis.inner_product_space.pi_L2 from "leanprover-community/mathlib"@"13bce9a6b6c44f6b4c91ac1c1d2a816e2533d395" set_option linter.uppercaseLean3 false open Real Set Filter RCLike Submodule Function Uniformity Topology NNReal ENNReal ComplexConjugate DirectSum noncomputable section variable {ι ι' 𝕜 : Type*} [RCLike 𝕜] variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] variable {E' : Type*} [NormedAddCommGroup E'] [InnerProductSpace 𝕜 E'] variable {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F] variable {F' : Type*} [NormedAddCommGroup F'] [InnerProductSpace ℝ F'] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y instance PiLp.innerProductSpace {ι : Type*} [Fintype ι] (f : ι → Type*) [∀ i, NormedAddCommGroup (f i)] [∀ i, InnerProductSpace 𝕜 (f i)] : InnerProductSpace 𝕜 (PiLp 2 f) where inner x y := ∑ i, inner (x i) (y i) norm_sq_eq_inner x := by simp only [PiLp.norm_sq_eq_of_L2, map_sum, ← norm_sq_eq_inner, one_div] conj_symm := by intro x y unfold inner rw [map_sum] apply Finset.sum_congr rfl rintro z - apply inner_conj_symm add_left x y z := show (∑ i, inner (x i + y i) (z i)) = (∑ i, inner (x i) (z i)) + ∑ i, inner (y i) (z i) by simp only [inner_add_left, Finset.sum_add_distrib] smul_left x y r := show (∑ i : ι, inner (r • x i) (y i)) = conj r * ∑ i, inner (x i) (y i) by simp only [Finset.mul_sum, inner_smul_left] #align pi_Lp.inner_product_space PiLp.innerProductSpace @[simp] theorem PiLp.inner_apply {ι : Type*} [Fintype ι] {f : ι → Type*} [∀ i, NormedAddCommGroup (f i)] [∀ i, InnerProductSpace 𝕜 (f i)] (x y : PiLp 2 f) : ⟪x, y⟫ = ∑ i, ⟪x i, y i⟫ := rfl #align pi_Lp.inner_apply PiLp.inner_apply abbrev EuclideanSpace (𝕜 : Type*) (n : Type*) : Type _ := PiLp 2 fun _ : n => 𝕜 #align euclidean_space EuclideanSpace theorem EuclideanSpace.nnnorm_eq {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n] (x : EuclideanSpace 𝕜 n) : ‖x‖₊ = NNReal.sqrt (∑ i, ‖x i‖₊ ^ 2) := PiLp.nnnorm_eq_of_L2 x #align euclidean_space.nnnorm_eq EuclideanSpace.nnnorm_eq
Mathlib/Analysis/InnerProductSpace/PiL2.lean
114
116
theorem EuclideanSpace.norm_eq {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n] (x : EuclideanSpace 𝕜 n) : ‖x‖ = √(∑ i, ‖x i‖ ^ 2) := by
simpa only [Real.coe_sqrt, NNReal.coe_sum] using congr_arg ((↑) : ℝ≥0 → ℝ) x.nnnorm_eq
import Mathlib.Algebra.MvPolynomial.Variables #align_import data.mv_polynomial.supported from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4" universe u v w namespace MvPolynomial variable {σ τ : Type*} {R : Type u} {S : Type v} {r : R} {e : ℕ} {n m : σ} section CommSemiring variable [CommSemiring R] {p q : MvPolynomial σ R} variable (R) noncomputable def supported (s : Set σ) : Subalgebra R (MvPolynomial σ R) := Algebra.adjoin R (X '' s) #align mv_polynomial.supported MvPolynomial.supported variable {R} open Algebra theorem supported_eq_range_rename (s : Set σ) : supported R s = (rename ((↑) : s → σ)).range := by rw [supported, Set.image_eq_range, adjoin_range_eq_range_aeval, rename] congr #align mv_polynomial.supported_eq_range_rename MvPolynomial.supported_eq_range_rename noncomputable def supportedEquivMvPolynomial (s : Set σ) : supported R s ≃ₐ[R] MvPolynomial s R := (Subalgebra.equivOfEq _ _ (supported_eq_range_rename s)).trans (AlgEquiv.ofInjective (rename ((↑) : s → σ)) (rename_injective _ Subtype.val_injective)).symm #align mv_polynomial.supported_equiv_mv_polynomial MvPolynomial.supportedEquivMvPolynomial @[simp, nolint simpNF] -- Porting note: the `simpNF` linter complained about this lemma. theorem supportedEquivMvPolynomial_symm_C (s : Set σ) (x : R) : (supportedEquivMvPolynomial s).symm (C x) = algebraMap R (supported R s) x := by ext1 simp [supportedEquivMvPolynomial, MvPolynomial.algebraMap_eq] set_option linter.uppercaseLean3 false in #align mv_polynomial.supported_equiv_mv_polynomial_symm_C MvPolynomial.supportedEquivMvPolynomial_symm_C @[simp, nolint simpNF] -- Porting note: the `simpNF` linter complained about this lemma. theorem supportedEquivMvPolynomial_symm_X (s : Set σ) (i : s) : (↑((supportedEquivMvPolynomial s).symm (X i : MvPolynomial s R)) : MvPolynomial σ R) = X ↑i := by simp [supportedEquivMvPolynomial] set_option linter.uppercaseLean3 false in #align mv_polynomial.supported_equiv_mv_polynomial_symm_X MvPolynomial.supportedEquivMvPolynomial_symm_X variable {s t : Set σ} theorem mem_supported : p ∈ supported R s ↔ ↑p.vars ⊆ s := by classical rw [supported_eq_range_rename, AlgHom.mem_range] constructor · rintro ⟨p, rfl⟩ refine _root_.trans (Finset.coe_subset.2 (vars_rename _ _)) ?_ simp · intro hs exact exists_rename_eq_of_vars_subset_range p ((↑) : s → σ) Subtype.val_injective (by simpa) #align mv_polynomial.mem_supported MvPolynomial.mem_supported theorem supported_eq_vars_subset : (supported R s : Set (MvPolynomial σ R)) = { p | ↑p.vars ⊆ s } := Set.ext fun _ ↦ mem_supported #align mv_polynomial.supported_eq_vars_subset MvPolynomial.supported_eq_vars_subset @[simp]
Mathlib/Algebra/MvPolynomial/Supported.lean
91
92
theorem mem_supported_vars (p : MvPolynomial σ R) : p ∈ supported R (↑p.vars : Set σ) := by
rw [mem_supported]
import Mathlib.Algebra.CharP.LocalRing import Mathlib.RingTheory.Ideal.Quotient import Mathlib.Tactic.FieldSimp #align_import algebra.char_p.mixed_char_zero from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" variable (R : Type*) [CommRing R] class MixedCharZero (p : ℕ) : Prop where [toCharZero : CharZero R] charP_quotient : ∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p #align mixed_char_zero MixedCharZero namespace EqualCharZero theorem of_algebraRat [Algebra ℚ R] : ∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by intro I hI constructor intro a b h_ab contrapose! hI -- `↑a - ↑b` is a unit contained in `I`, which contradicts `I ≠ ⊤`. refine I.eq_top_of_isUnit_mem ?_ (IsUnit.map (algebraMap ℚ R) (IsUnit.mk0 (a - b : ℚ) ?_)) · simpa only [← Ideal.Quotient.eq_zero_iff_mem, map_sub, sub_eq_zero, map_natCast] simpa only [Ne, sub_eq_zero] using (@Nat.cast_injective ℚ _ _).ne hI set_option linter.uppercaseLean3 false in #align Q_algebra_to_equal_char_zero EqualCharZero.of_algebraRat section ConstructionAlgebraRat variable {R} theorem PNat.isUnit_natCast [h : Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))] (n : ℕ+) : IsUnit (n : R) := by -- `n : R` is a unit iff `(n)` is not a proper ideal in `R`. rw [← Ideal.span_singleton_eq_top] -- So by contrapositive, we should show the quotient does not have characteristic zero. apply not_imp_comm.mp (h.elim (Ideal.span {↑n})) intro h_char_zero -- In particular, the image of `n` in the quotient should be nonzero. apply h_char_zero.cast_injective.ne n.ne_zero -- But `n` generates the ideal, so its image is clearly zero. rw [← map_natCast (Ideal.Quotient.mk _), Nat.cast_zero, Ideal.Quotient.eq_zero_iff_mem] exact Ideal.subset_span (Set.mem_singleton _) #align equal_char_zero.pnat_coe_is_unit EqualCharZero.PNat.isUnit_natCast @[coe] noncomputable def pnatCast [Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))] : ℕ+ → Rˣ := fun n => (PNat.isUnit_natCast n).unit noncomputable instance coePNatUnits [Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))] : Coe ℕ+ Rˣ := ⟨EqualCharZero.pnatCast⟩ #align equal_char_zero.pnat_has_coe_units EqualCharZero.coePNatUnits @[simp] theorem pnatCast_one [Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))] : ((1 : ℕ+) : Rˣ) = 1 := by apply Units.ext rw [Units.val_one] change ((PNat.isUnit_natCast (R := R) 1).unit : R) = 1 rw [IsUnit.unit_spec (PNat.isUnit_natCast 1)] rw [PNat.one_coe, Nat.cast_one] #align equal_char_zero.pnat_coe_units_eq_one EqualCharZero.pnatCast_one @[simp]
Mathlib/Algebra/CharP/MixedCharZero.lean
214
217
theorem pnatCast_eq_natCast [Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))] (n : ℕ+) : ((n : Rˣ) : R) = ↑n := by
change ((PNat.isUnit_natCast (R := R) n).unit : R) = ↑n simp only [IsUnit.unit_spec]
import Mathlib.Algebra.Group.WithOne.Defs import Mathlib.Algebra.GroupWithZero.InjSurj import Mathlib.Algebra.GroupWithZero.Units.Equiv import Mathlib.Algebra.GroupWithZero.WithZero import Mathlib.Algebra.Order.Group.Units import Mathlib.Algebra.Order.GroupWithZero.Synonym import Mathlib.Algebra.Order.Monoid.Basic import Mathlib.Algebra.Order.Monoid.OrderDual import Mathlib.Algebra.Order.Monoid.TypeTags import Mathlib.Algebra.Order.ZeroLEOne #align_import algebra.order.monoid.with_zero.defs from "leanprover-community/mathlib"@"4dc134b97a3de65ef2ed881f3513d56260971562" #align_import algebra.order.monoid.with_zero.basic from "leanprover-community/mathlib"@"dad7ecf9a1feae63e6e49f07619b7087403fb8d4" #align_import algebra.order.with_zero from "leanprover-community/mathlib"@"655994e298904d7e5bbd1e18c95defd7b543eb94" variable {α : Type*} class LinearOrderedCommMonoidWithZero (α : Type*) extends LinearOrderedCommMonoid α, CommMonoidWithZero α where zero_le_one : (0 : α) ≤ 1 #align linear_ordered_comm_monoid_with_zero LinearOrderedCommMonoidWithZero class LinearOrderedCommGroupWithZero (α : Type*) extends LinearOrderedCommMonoidWithZero α, CommGroupWithZero α #align linear_ordered_comm_group_with_zero LinearOrderedCommGroupWithZero instance (priority := 100) LinearOrderedCommMonoidWithZero.toZeroLeOneClass [LinearOrderedCommMonoidWithZero α] : ZeroLEOneClass α := { ‹LinearOrderedCommMonoidWithZero α› with } #align linear_ordered_comm_monoid_with_zero.to_zero_le_one_class LinearOrderedCommMonoidWithZero.toZeroLeOneClass instance (priority := 100) canonicallyOrderedAddCommMonoid.toZeroLeOneClass [CanonicallyOrderedAddCommMonoid α] [One α] : ZeroLEOneClass α := ⟨zero_le 1⟩ #align canonically_ordered_add_monoid.to_zero_le_one_class canonicallyOrderedAddCommMonoid.toZeroLeOneClass section LinearOrderedCommGroupWithZero variable [LinearOrderedCommGroupWithZero α] {a b c d : α} {m n : ℕ} -- TODO: Do we really need the following two? theorem mul_le_one₀ (ha : a ≤ 1) (hb : b ≤ 1) : a * b ≤ 1 := mul_le_one' ha hb #align mul_le_one₀ mul_le_one₀ theorem one_le_mul₀ (ha : 1 ≤ a) (hb : 1 ≤ b) : 1 ≤ a * b := one_le_mul ha hb #align one_le_mul₀ one_le_mul₀
Mathlib/Algebra/Order/GroupWithZero/Canonical.lean
128
129
theorem le_of_le_mul_right (h : c ≠ 0) (hab : a * c ≤ b * c) : a ≤ b := by
simpa only [mul_inv_cancel_right₀ h] using mul_le_mul_right' hab c⁻¹
import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.MeasureTheory.Integral.PeakFunction #align_import analysis.special_functions.trigonometric.euler_sine_prod from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" open scoped Real Topology open Real Set Filter intervalIntegral MeasureTheory.MeasureSpace namespace EulerSine section IntegralRecursion variable {z : ℂ} {n : ℕ} theorem antideriv_cos_comp_const_mul (hz : z ≠ 0) (x : ℝ) : HasDerivAt (fun y : ℝ => Complex.sin (2 * z * y) / (2 * z)) (Complex.cos (2 * z * x)) x := by have a : HasDerivAt (fun y : ℂ => y * (2 * z)) _ x := hasDerivAt_mul_const _ have b : HasDerivAt (fun y : ℂ => Complex.sin (y * (2 * z))) _ x := HasDerivAt.comp (x : ℂ) (Complex.hasDerivAt_sin (x * (2 * z))) a have c := b.comp_ofReal.div_const (2 * z) field_simp at c; simp only [fun y => mul_comm y (2 * z)] at c exact c #align euler_sine.antideriv_cos_comp_const_mul EulerSine.antideriv_cos_comp_const_mul theorem antideriv_sin_comp_const_mul (hz : z ≠ 0) (x : ℝ) : HasDerivAt (fun y : ℝ => -Complex.cos (2 * z * y) / (2 * z)) (Complex.sin (2 * z * x)) x := by have a : HasDerivAt (fun y : ℂ => y * (2 * z)) _ x := hasDerivAt_mul_const _ have b : HasDerivAt (fun y : ℂ => Complex.cos (y * (2 * z))) _ x := HasDerivAt.comp (x : ℂ) (Complex.hasDerivAt_cos (x * (2 * z))) a have c := (b.comp_ofReal.div_const (2 * z)).neg field_simp at c; simp only [fun y => mul_comm y (2 * z)] at c exact c #align euler_sine.antideriv_sin_comp_const_mul EulerSine.antideriv_sin_comp_const_mul
Mathlib/Analysis/SpecialFunctions/Trigonometric/EulerSineProd.lean
59
85
theorem integral_cos_mul_cos_pow_aux (hn : 2 ≤ n) (hz : z ≠ 0) : (∫ x in (0 : ℝ)..π / 2, Complex.cos (2 * z * x) * (cos x : ℂ) ^ n) = n / (2 * z) * ∫ x in (0 : ℝ)..π / 2, Complex.sin (2 * z * x) * sin x * (cos x : ℂ) ^ (n - 1) := by
have der1 : ∀ x : ℝ, x ∈ uIcc 0 (π / 2) → HasDerivAt (fun y : ℝ => (cos y : ℂ) ^ n) (-n * sin x * (cos x : ℂ) ^ (n - 1)) x := by intro x _ have b : HasDerivAt (fun y : ℝ => (cos y : ℂ)) (-sin x) x := by simpa using (hasDerivAt_cos x).ofReal_comp convert HasDerivAt.comp x (hasDerivAt_pow _ _) b using 1 ring convert (config := { sameFun := true }) integral_mul_deriv_eq_deriv_mul der1 (fun x _ => antideriv_cos_comp_const_mul hz x) _ _ using 2 · ext1 x; rw [mul_comm] · rw [Complex.ofReal_zero, mul_zero, Complex.sin_zero, zero_div, mul_zero, sub_zero, cos_pi_div_two, Complex.ofReal_zero, zero_pow (by positivity : n ≠ 0), zero_mul, zero_sub, ← integral_neg, ← integral_const_mul] refine integral_congr fun x _ => ?_ field_simp; ring · apply Continuous.intervalIntegrable exact (continuous_const.mul (Complex.continuous_ofReal.comp continuous_sin)).mul ((Complex.continuous_ofReal.comp continuous_cos).pow (n - 1)) · apply Continuous.intervalIntegrable exact Complex.continuous_cos.comp (continuous_const.mul Complex.continuous_ofReal)
import Mathlib.Order.Filter.Lift import Mathlib.Topology.Separation import Mathlib.Order.Interval.Set.Monotone #align_import topology.filter from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" open Set Filter TopologicalSpace open Filter Topology variable {ι : Sort*} {α β X Y : Type*} namespace Filter instance : TopologicalSpace (Filter α) := generateFrom <| range <| Iic ∘ 𝓟 theorem isOpen_Iic_principal {s : Set α} : IsOpen (Iic (𝓟 s)) := GenerateOpen.basic _ (mem_range_self _) #align filter.is_open_Iic_principal Filter.isOpen_Iic_principal theorem isOpen_setOf_mem {s : Set α} : IsOpen { l : Filter α | s ∈ l } := by simpa only [Iic_principal] using isOpen_Iic_principal #align filter.is_open_set_of_mem Filter.isOpen_setOf_mem theorem isTopologicalBasis_Iic_principal : IsTopologicalBasis (range (Iic ∘ 𝓟 : Set α → Set (Filter α))) := { exists_subset_inter := by rintro _ ⟨s, rfl⟩ _ ⟨t, rfl⟩ l hl exact ⟨Iic (𝓟 s) ∩ Iic (𝓟 t), ⟨s ∩ t, by simp⟩, hl, Subset.rfl⟩ sUnion_eq := sUnion_eq_univ_iff.2 fun l => ⟨Iic ⊤, ⟨univ, congr_arg Iic principal_univ⟩, mem_Iic.2 le_top⟩ eq_generateFrom := rfl } #align filter.is_topological_basis_Iic_principal Filter.isTopologicalBasis_Iic_principal theorem isOpen_iff {s : Set (Filter α)} : IsOpen s ↔ ∃ T : Set (Set α), s = ⋃ t ∈ T, Iic (𝓟 t) := isTopologicalBasis_Iic_principal.open_iff_eq_sUnion.trans <| by simp only [exists_subset_range_and_iff, sUnion_image, (· ∘ ·)] #align filter.is_open_iff Filter.isOpen_iff theorem nhds_eq (l : Filter α) : 𝓝 l = l.lift' (Iic ∘ 𝓟) := nhds_generateFrom.trans <| by simp only [mem_setOf_eq, @and_comm (l ∈ _), iInf_and, iInf_range, Filter.lift', Filter.lift, (· ∘ ·), mem_Iic, le_principal_iff] #align filter.nhds_eq Filter.nhds_eq theorem nhds_eq' (l : Filter α) : 𝓝 l = l.lift' fun s => { l' | s ∈ l' } := by simpa only [(· ∘ ·), Iic_principal] using nhds_eq l #align filter.nhds_eq' Filter.nhds_eq' protected theorem tendsto_nhds {la : Filter α} {lb : Filter β} {f : α → Filter β} : Tendsto f la (𝓝 lb) ↔ ∀ s ∈ lb, ∀ᶠ a in la, s ∈ f a := by simp only [nhds_eq', tendsto_lift', mem_setOf_eq] #align filter.tendsto_nhds Filter.tendsto_nhds protected theorem HasBasis.nhds {l : Filter α} {p : ι → Prop} {s : ι → Set α} (h : HasBasis l p s) : HasBasis (𝓝 l) p fun i => Iic (𝓟 (s i)) := by rw [nhds_eq] exact h.lift' monotone_principal.Iic #align filter.has_basis.nhds Filter.HasBasis.nhds protected theorem tendsto_pure_self (l : Filter X) : Tendsto (pure : X → Filter X) l (𝓝 l) := by rw [Filter.tendsto_nhds] exact fun s hs ↦ Eventually.mono hs fun x ↦ id instance {l : Filter α} [IsCountablyGenerated l] : IsCountablyGenerated (𝓝 l) := let ⟨_b, hb⟩ := l.exists_antitone_basis HasCountableBasis.isCountablyGenerated <| ⟨hb.nhds, Set.to_countable _⟩ theorem HasBasis.nhds' {l : Filter α} {p : ι → Prop} {s : ι → Set α} (h : HasBasis l p s) : HasBasis (𝓝 l) p fun i => { l' | s i ∈ l' } := by simpa only [Iic_principal] using h.nhds #align filter.has_basis.nhds' Filter.HasBasis.nhds' protected theorem mem_nhds_iff {l : Filter α} {S : Set (Filter α)} : S ∈ 𝓝 l ↔ ∃ t ∈ l, Iic (𝓟 t) ⊆ S := l.basis_sets.nhds.mem_iff #align filter.mem_nhds_iff Filter.mem_nhds_iff theorem mem_nhds_iff' {l : Filter α} {S : Set (Filter α)} : S ∈ 𝓝 l ↔ ∃ t ∈ l, ∀ ⦃l' : Filter α⦄, t ∈ l' → l' ∈ S := l.basis_sets.nhds'.mem_iff #align filter.mem_nhds_iff' Filter.mem_nhds_iff' @[simp] theorem nhds_bot : 𝓝 (⊥ : Filter α) = pure ⊥ := by simp [nhds_eq, (· ∘ ·), lift'_bot monotone_principal.Iic] #align filter.nhds_bot Filter.nhds_bot @[simp]
Mathlib/Topology/Filter.lean
125
125
theorem nhds_top : 𝓝 (⊤ : Filter α) = ⊤ := by
simp [nhds_eq]
import Mathlib.Data.ZMod.Basic import Mathlib.RingTheory.Int.Basic import Mathlib.RingTheory.PrincipalIdealDomain #align_import data.zmod.coprime from "leanprover-community/mathlib"@"4b4975cf92a1ffe2ddfeff6ff91b0c46a9162bf5" namespace ZMod
Mathlib/Data/ZMod/Coprime.lean
24
28
theorem eq_zero_iff_gcd_ne_one {a : ℤ} {p : ℕ} [pp : Fact p.Prime] : (a : ZMod p) = 0 ↔ a.gcd p ≠ 1 := by
rw [Ne, Int.gcd_comm, Int.gcd_eq_one_iff_coprime, (Nat.prime_iff_prime_int.1 pp.1).coprime_iff_not_dvd, Classical.not_not, intCast_zmod_eq_zero_iff_dvd]
import Mathlib.GroupTheory.Archimedean import Mathlib.Topology.Order.Basic #align_import topology.algebra.order.archimedean from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" open Set theorem Rat.denseRange_cast {𝕜} [LinearOrderedField 𝕜] [TopologicalSpace 𝕜] [OrderTopology 𝕜] [Archimedean 𝕜] : DenseRange ((↑) : ℚ → 𝕜) := dense_of_exists_between fun _ _ h => Set.exists_range_iff.2 <| exists_rat_btwn h #align rat.dense_range_cast Rat.denseRange_cast namespace AddSubgroup variable {G : Type*} [LinearOrderedAddCommGroup G] [TopologicalSpace G] [OrderTopology G] [Archimedean G] theorem dense_of_not_isolated_zero (S : AddSubgroup G) (hS : ∀ ε > 0, ∃ g ∈ S, g ∈ Ioo 0 ε) : Dense (S : Set G) := by cases subsingleton_or_nontrivial G · refine fun x => _root_.subset_closure ?_ rw [Subsingleton.elim x 0] exact zero_mem S refine dense_of_exists_between fun a b hlt => ?_ rcases hS (b - a) (sub_pos.2 hlt) with ⟨g, hgS, hg0, hg⟩ rcases (existsUnique_add_zsmul_mem_Ioc hg0 0 a).exists with ⟨m, hm⟩ rw [zero_add] at hm refine ⟨m • g, zsmul_mem hgS _, hm.1, hm.2.trans_lt ?_⟩ rwa [lt_sub_iff_add_lt'] at hg
Mathlib/Topology/Algebra/Order/Archimedean.lean
58
62
theorem dense_of_no_min (S : AddSubgroup G) (hbot : S ≠ ⊥) (H : ¬∃ a : G, IsLeast { g : G | g ∈ S ∧ 0 < g } a) : Dense (S : Set G) := by
refine S.dense_of_not_isolated_zero fun ε ε0 => ?_ contrapose! H exact exists_isLeast_pos hbot ε0 (disjoint_left.2 H)
import Mathlib.Combinatorics.SimpleGraph.Clique open Finset namespace SimpleGraph variable {V : Type*} [Fintype V] [DecidableEq V] (G H : SimpleGraph V) [DecidableRel G.Adj] {n r : ℕ} def IsTuranMaximal (r : ℕ) : Prop := G.CliqueFree (r + 1) ∧ ∀ (H : SimpleGraph V) [DecidableRel H.Adj], H.CliqueFree (r + 1) → H.edgeFinset.card ≤ G.edgeFinset.card variable {G H} lemma IsTuranMaximal.le_iff_eq (hG : G.IsTuranMaximal r) (hH : H.CliqueFree (r + 1)) : G ≤ H ↔ G = H := by classical exact ⟨fun hGH ↦ edgeFinset_inj.1 <| eq_of_subset_of_card_le (edgeFinset_subset_edgeFinset.2 hGH) (hG.2 _ hH), le_of_eq⟩ def turanGraph (n r : ℕ) : SimpleGraph (Fin n) where Adj v w := v % r ≠ w % r instance turanGraph.instDecidableRelAdj : DecidableRel (turanGraph n r).Adj := by dsimp only [turanGraph]; infer_instance @[simp] lemma turanGraph_zero : turanGraph n 0 = ⊤ := by ext a b; simp_rw [turanGraph, top_adj, Nat.mod_zero, not_iff_not, Fin.val_inj] @[simp] theorem turanGraph_eq_top : turanGraph n r = ⊤ ↔ r = 0 ∨ n ≤ r := by simp_rw [SimpleGraph.ext_iff, Function.funext_iff, turanGraph, top_adj, eq_iff_iff, not_iff_not] refine ⟨fun h ↦ ?_, ?_⟩ · contrapose! h use ⟨0, (Nat.pos_of_ne_zero h.1).trans h.2⟩, ⟨r, h.2⟩ simp [h.1.symm] · rintro (rfl | h) a b · simp [Fin.val_inj] · rw [Nat.mod_eq_of_lt (a.2.trans_le h), Nat.mod_eq_of_lt (b.2.trans_le h), Fin.val_inj] variable (hr : 0 < r) theorem turanGraph_cliqueFree : (turanGraph n r).CliqueFree (r + 1) := by rw [cliqueFree_iff] by_contra h rw [not_isEmpty_iff] at h obtain ⟨f, ha⟩ := h simp only [turanGraph, top_adj] at ha obtain ⟨x, y, d, c⟩ := Fintype.exists_ne_map_eq_of_card_lt (fun x ↦ (⟨(f x).1 % r, Nat.mod_lt _ hr⟩ : Fin r)) (by simp) simp only [Fin.mk.injEq] at c exact absurd c ((@ha x y).mpr d) theorem isTuranMaximal_turanGraph (h : n ≤ r) : (turanGraph n r).IsTuranMaximal r := ⟨turanGraph_cliqueFree hr, fun _ _ _ ↦ card_le_card (edgeFinset_mono ((turanGraph_eq_top.mpr (Or.inr h)).symm ▸ le_top))⟩
Mathlib/Combinatorics/SimpleGraph/Turan.lean
84
92
theorem not_cliqueFree_of_isTuranMaximal (hn : r ≤ Fintype.card V) (hG : G.IsTuranMaximal r) : ¬G.CliqueFree r := by
rintro h obtain ⟨K, _, rfl⟩ := exists_smaller_set (univ : Finset V) r hn obtain ⟨a, -, b, -, hab, hGab⟩ : ∃ a ∈ K, ∃ b ∈ K, a ≠ b ∧ ¬ G.Adj a b := by simpa only [isNClique_iff, IsClique, Set.Pairwise, mem_coe, ne_eq, and_true, not_forall, exists_prop, exists_and_right] using h K exact hGab <| le_sup_right.trans_eq ((hG.le_iff_eq <| h.sup_edge _ _).1 le_sup_left).symm <| (edge_adj ..).2 ⟨Or.inl ⟨rfl, rfl⟩, hab⟩
import Mathlib.Analysis.Calculus.Deriv.Mul import Mathlib.Analysis.Calculus.Deriv.Comp #align_import analysis.calculus.deriv.inv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w open scoped Classical open Topology Filter ENNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L : Filter 𝕜} section Inverse theorem hasStrictDerivAt_inv (hx : x ≠ 0) : HasStrictDerivAt Inv.inv (-(x ^ 2)⁻¹) x := by suffices (fun p : 𝕜 × 𝕜 => (p.1 - p.2) * ((x * x)⁻¹ - (p.1 * p.2)⁻¹)) =o[𝓝 (x, x)] fun p => (p.1 - p.2) * 1 by refine this.congr' ?_ (eventually_of_forall fun _ => mul_one _) refine Eventually.mono ((isOpen_ne.prod isOpen_ne).mem_nhds ⟨hx, hx⟩) ?_ rintro ⟨y, z⟩ ⟨hy, hz⟩ simp only [mem_setOf_eq] at hy hz -- hy : y ≠ 0, hz : z ≠ 0 field_simp [hx, hy, hz] ring refine (isBigO_refl (fun p : 𝕜 × 𝕜 => p.1 - p.2) _).mul_isLittleO ((isLittleO_one_iff 𝕜).2 ?_) rw [← sub_self (x * x)⁻¹] exact tendsto_const_nhds.sub ((continuous_mul.tendsto (x, x)).inv₀ <| mul_ne_zero hx hx) #align has_strict_deriv_at_inv hasStrictDerivAt_inv theorem hasDerivAt_inv (x_ne_zero : x ≠ 0) : HasDerivAt (fun y => y⁻¹) (-(x ^ 2)⁻¹) x := (hasStrictDerivAt_inv x_ne_zero).hasDerivAt #align has_deriv_at_inv hasDerivAt_inv theorem hasDerivWithinAt_inv (x_ne_zero : x ≠ 0) (s : Set 𝕜) : HasDerivWithinAt (fun x => x⁻¹) (-(x ^ 2)⁻¹) s x := (hasDerivAt_inv x_ne_zero).hasDerivWithinAt #align has_deriv_within_at_inv hasDerivWithinAt_inv theorem differentiableAt_inv : DifferentiableAt 𝕜 (fun x => x⁻¹) x ↔ x ≠ 0 := ⟨fun H => NormedField.continuousAt_inv.1 H.continuousAt, fun H => (hasDerivAt_inv H).differentiableAt⟩ #align differentiable_at_inv differentiableAt_inv theorem differentiableWithinAt_inv (x_ne_zero : x ≠ 0) : DifferentiableWithinAt 𝕜 (fun x => x⁻¹) s x := (differentiableAt_inv.2 x_ne_zero).differentiableWithinAt #align differentiable_within_at_inv differentiableWithinAt_inv theorem differentiableOn_inv : DifferentiableOn 𝕜 (fun x : 𝕜 => x⁻¹) { x | x ≠ 0 } := fun _x hx => differentiableWithinAt_inv hx #align differentiable_on_inv differentiableOn_inv theorem deriv_inv : deriv (fun x => x⁻¹) x = -(x ^ 2)⁻¹ := by rcases eq_or_ne x 0 with (rfl | hne) · simp [deriv_zero_of_not_differentiableAt (mt differentiableAt_inv.1 (not_not.2 rfl))] · exact (hasDerivAt_inv hne).deriv #align deriv_inv deriv_inv @[simp] theorem deriv_inv' : (deriv fun x : 𝕜 => x⁻¹) = fun x => -(x ^ 2)⁻¹ := funext fun _ => deriv_inv #align deriv_inv' deriv_inv'
Mathlib/Analysis/Calculus/Deriv/Inv.lean
98
101
theorem derivWithin_inv (x_ne_zero : x ≠ 0) (hxs : UniqueDiffWithinAt 𝕜 s x) : derivWithin (fun x => x⁻¹) s x = -(x ^ 2)⁻¹ := by
rw [DifferentiableAt.derivWithin (differentiableAt_inv.2 x_ne_zero) hxs] exact deriv_inv
import Mathlib.FieldTheory.Normal import Mathlib.FieldTheory.Perfect import Mathlib.RingTheory.Localization.Integral #align_import field_theory.is_alg_closed.basic from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a" universe u v w open scoped Classical Polynomial open Polynomial variable (k : Type u) [Field k] class IsAlgClosed : Prop where splits : ∀ p : k[X], p.Splits <| RingHom.id k #align is_alg_closed IsAlgClosed
Mathlib/FieldTheory/IsAlgClosed/Basic.lean
68
69
theorem IsAlgClosed.splits_codomain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : K →+* k} (p : K[X]) : p.Splits f := by
convert IsAlgClosed.splits (p.map f); simp [splits_map_iff]
import Mathlib.Data.Finset.Sort import Mathlib.Data.List.FinRange import Mathlib.Data.Prod.Lex import Mathlib.GroupTheory.Perm.Basic import Mathlib.Order.Interval.Finset.Fin #align_import data.fin.tuple.sort from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" namespace Tuple variable {n : ℕ} variable {α : Type*} [LinearOrder α] def graph (f : Fin n → α) : Finset (α ×ₗ Fin n) := Finset.univ.image fun i => (f i, i) #align tuple.graph Tuple.graph def graph.proj {f : Fin n → α} : graph f → α := fun p => p.1.1 #align tuple.graph.proj Tuple.graph.proj @[simp]
Mathlib/Data/Fin/Tuple/Sort.lean
50
57
theorem graph.card (f : Fin n → α) : (graph f).card = n := by
rw [graph, Finset.card_image_of_injective] · exact Finset.card_fin _ · intro _ _ -- porting note (#10745): was `simp` dsimp only rw [Prod.ext_iff] simp
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap namespace IsBoundedLinearMap def toLinearMap (f : E → F) (h : IsBoundedLinearMap 𝕜 f) : E →ₗ[𝕜] F := IsLinearMap.mk' _ h.toIsLinearMap #align is_bounded_linear_map.to_linear_map IsBoundedLinearMap.toLinearMap def toContinuousLinearMap {f : E → F} (hf : IsBoundedLinearMap 𝕜 f) : E →L[𝕜] F := { toLinearMap f hf with cont := let ⟨C, _, hC⟩ := hf.bound AddMonoidHomClass.continuous_of_bound (toLinearMap f hf) C hC } #align is_bounded_linear_map.to_continuous_linear_map IsBoundedLinearMap.toContinuousLinearMap theorem zero : IsBoundedLinearMap 𝕜 fun _ : E => (0 : F) := (0 : E →ₗ[𝕜] F).isLinear.with_bound 0 <| by simp [le_refl] #align is_bounded_linear_map.zero IsBoundedLinearMap.zero theorem id : IsBoundedLinearMap 𝕜 fun x : E => x := LinearMap.id.isLinear.with_bound 1 <| by simp [le_refl] #align is_bounded_linear_map.id IsBoundedLinearMap.id theorem fst : IsBoundedLinearMap 𝕜 fun x : E × F => x.1 := by refine (LinearMap.fst 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_left _ _ #align is_bounded_linear_map.fst IsBoundedLinearMap.fst
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
121
124
theorem snd : IsBoundedLinearMap 𝕜 fun x : E × F => x.2 := by
refine (LinearMap.snd 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_right _ _
import Mathlib.Algebra.Category.ModuleCat.Abelian import Mathlib.CategoryTheory.Limits.Shapes.Images #align_import algebra.category.Module.images from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open CategoryTheory open CategoryTheory.Limits universe u v namespace ModuleCat set_option linter.uppercaseLean3 false -- `Module` variable {R : Type u} [Ring R] variable {G H : ModuleCat.{v} R} (f : G ⟶ H) attribute [local ext] Subtype.ext_val section -- implementation details of `HasImage` for ModuleCat; use the API, not these def image : ModuleCat R := ModuleCat.of R (LinearMap.range f) #align Module.image ModuleCat.image def image.ι : image f ⟶ H := f.range.subtype #align Module.image.ι ModuleCat.image.ι instance : Mono (image.ι f) := ConcreteCategory.mono_of_injective (image.ι f) Subtype.val_injective def factorThruImage : G ⟶ image f := f.rangeRestrict #align Module.factor_thru_image ModuleCat.factorThruImage theorem image.fac : factorThruImage f ≫ image.ι f = f := rfl #align Module.image.fac ModuleCat.image.fac attribute [local simp] image.fac variable {f} noncomputable def image.lift (F' : MonoFactorisation f) : image f ⟶ F'.I where toFun := (fun x => F'.e (Classical.indefiniteDescription _ x.2).1 : image f → F'.I) map_add' x y := by apply (mono_iff_injective F'.m).1 · infer_instance rw [LinearMap.map_add] change (F'.e ≫ F'.m) _ = (F'.e ≫ F'.m) _ + (F'.e ≫ F'.m) _ simp_rw [F'.fac, (Classical.indefiniteDescription (fun z => f z = _) _).2] rfl map_smul' c x := by apply (mono_iff_injective F'.m).1 · infer_instance rw [LinearMap.map_smul] change (F'.e ≫ F'.m) _ = _ • (F'.e ≫ F'.m) _ simp_rw [F'.fac, (Classical.indefiniteDescription (fun z => f z = _) _).2] rfl #align Module.image.lift ModuleCat.image.lift theorem image.lift_fac (F' : MonoFactorisation f) : image.lift F' ≫ F'.m = image.ι f := by ext x change (F'.e ≫ F'.m) _ = _ rw [F'.fac, (Classical.indefiniteDescription _ x.2).2] rfl #align Module.image.lift_fac ModuleCat.image.lift_fac end def monoFactorisation : MonoFactorisation f where I := image f m := image.ι f e := factorThruImage f #align Module.mono_factorisation ModuleCat.monoFactorisation noncomputable def isImage : IsImage (monoFactorisation f) where lift := image.lift lift_fac := image.lift_fac #align Module.is_image ModuleCat.isImage noncomputable def imageIsoRange {G H : ModuleCat.{v} R} (f : G ⟶ H) : Limits.image f ≅ ModuleCat.of R (LinearMap.range f) := IsImage.isoExt (Image.isImage f) (isImage f) #align Module.image_iso_range ModuleCat.imageIsoRange @[simp, reassoc, elementwise] theorem imageIsoRange_inv_image_ι {G H : ModuleCat.{v} R} (f : G ⟶ H) : (imageIsoRange f).inv ≫ Limits.image.ι f = ModuleCat.ofHom f.range.subtype := IsImage.isoExt_inv_m _ _ #align Module.image_iso_range_inv_image_ι ModuleCat.imageIsoRange_inv_image_ι @[simp, reassoc, elementwise]
Mathlib/Algebra/Category/ModuleCat/Images.lean
117
119
theorem imageIsoRange_hom_subtype {G H : ModuleCat.{v} R} (f : G ⟶ H) : (imageIsoRange f).hom ≫ ModuleCat.ofHom f.range.subtype = Limits.image.ι f := by
erw [← imageIsoRange_inv_image_ι f, Iso.hom_inv_id_assoc]
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⟩⟩ 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 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'
Mathlib/CategoryTheory/Galois/Examples.lean
127
145
theorem Action.isConnected_of_transitive (X : FintypeCat) [MulAction G X] [MulAction.IsPretransitive G X] [h : Nonempty X] : IsConnected (Action.FintypeCat.ofMulAction G X) where notInitial := not_initial_of_inhabited (Action.forget _ _) h.some noTrivialComponent Y i hm hni := by
/- We show that the induced inclusion `i.hom` of finite sets is surjective, using the transitivity of the `G`-action. -/ obtain ⟨(y : Y.V)⟩ := (not_initial_iff_fiber_nonempty (Action.forget _ _) Y).mp hni have : IsIso i.hom := by refine (ConcreteCategory.isIso_iff_bijective i.hom).mpr ⟨?_, fun x' ↦ ?_⟩ · haveI : Mono i.hom := map_mono (forget₂ _ _) i exact ConcreteCategory.injective_of_mono_of_preservesPullback i.hom · letI x : X := i.hom y obtain ⟨σ, hσ⟩ := MulAction.exists_smul_eq G x x' use σ • y show (Y.ρ σ ≫ i.hom) y = x' rw [i.comm, FintypeCat.comp_apply] exact hσ apply isIso_of_reflects_iso i (Action.forget _ _)
import Mathlib.Algebra.Order.Group.Nat import Mathlib.Data.List.Rotate import Mathlib.GroupTheory.Perm.Support #align_import group_theory.perm.list from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" namespace List variable {α β : Type*} section FormPerm variable [DecidableEq α] (l : List α) open Equiv Equiv.Perm def formPerm : Equiv.Perm α := (zipWith Equiv.swap l l.tail).prod #align list.form_perm List.formPerm @[simp] theorem formPerm_nil : formPerm ([] : List α) = 1 := rfl #align list.form_perm_nil List.formPerm_nil @[simp] theorem formPerm_singleton (x : α) : formPerm [x] = 1 := rfl #align list.form_perm_singleton List.formPerm_singleton @[simp] theorem formPerm_cons_cons (x y : α) (l : List α) : formPerm (x :: y :: l) = swap x y * formPerm (y :: l) := prod_cons #align list.form_perm_cons_cons List.formPerm_cons_cons theorem formPerm_pair (x y : α) : formPerm [x, y] = swap x y := rfl #align list.form_perm_pair List.formPerm_pair theorem mem_or_mem_of_zipWith_swap_prod_ne : ∀ {l l' : List α} {x : α}, (zipWith swap l l').prod x ≠ x → x ∈ l ∨ x ∈ l' | [], _, _ => by simp | _, [], _ => by simp | a::l, b::l', x => fun hx ↦ if h : (zipWith swap l l').prod x = x then (eq_or_eq_of_swap_apply_ne_self (by simpa [h] using hx)).imp (by rintro rfl; exact .head _) (by rintro rfl; exact .head _) else (mem_or_mem_of_zipWith_swap_prod_ne h).imp (.tail _) (.tail _) theorem zipWith_swap_prod_support' (l l' : List α) : { x | (zipWith swap l l').prod x ≠ x } ≤ l.toFinset ⊔ l'.toFinset := fun _ h ↦ by simpa using mem_or_mem_of_zipWith_swap_prod_ne h #align list.zip_with_swap_prod_support' List.zipWith_swap_prod_support' theorem zipWith_swap_prod_support [Fintype α] (l l' : List α) : (zipWith swap l l').prod.support ≤ l.toFinset ⊔ l'.toFinset := by intro x hx have hx' : x ∈ { x | (zipWith swap l l').prod x ≠ x } := by simpa using hx simpa using zipWith_swap_prod_support' _ _ hx' #align list.zip_with_swap_prod_support List.zipWith_swap_prod_support
Mathlib/GroupTheory/Perm/List.lean
95
97
theorem support_formPerm_le' : { x | formPerm l x ≠ x } ≤ l.toFinset := by
refine (zipWith_swap_prod_support' l l.tail).trans ?_ simpa [Finset.subset_iff] using tail_subset l
import Mathlib.Data.Complex.Basic import Mathlib.Data.Real.Cardinality #align_import data.complex.cardinality from "leanprover-community/mathlib"@"1c4e18434eeb5546b212e830b2b39de6a83c473c" -- Porting note: the lemmas `mk_complex` and `mk_univ_complex` should be in the namespace `Cardinal` -- like their real counterparts. open Cardinal Set open Cardinal @[simp] theorem mk_complex : #ℂ = 𝔠 := by rw [mk_congr Complex.equivRealProd, mk_prod, lift_id, mk_real, continuum_mul_self] #align mk_complex mk_complex -- @[simp] -- Porting note (#10618): simp can prove this
Mathlib/Data/Complex/Cardinality.lean
31
31
theorem mk_univ_complex : #(Set.univ : Set ℂ) = 𝔠 := by
rw [mk_univ, mk_complex]
import Mathlib.CategoryTheory.Adjunction.Basic open CategoryTheory variable {C D : Type*} [Category C] [Category D] namespace CategoryTheory.Adjunction @[simps] def natTransEquiv {F F' : C ⥤ D} {G G' : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G') : (G ⟶ G') ≃ (F' ⟶ F) where toFun f := { app := fun X ↦ F'.map ((adj1.unit ≫ whiskerLeft F f).app X) ≫ adj2.counit.app _ naturality := by intro X Y g simp only [← Category.assoc, ← Functor.map_comp] erw [(adj1.unit ≫ (whiskerLeft F f)).naturality] simp } invFun f := { app := fun X ↦ adj2.unit.app (G.obj X) ≫ G'.map (f.app (G.obj X) ≫ adj1.counit.app X) naturality := by intro X Y g erw [← adj2.unit_naturality_assoc] simp only [← Functor.map_comp] simp } left_inv f := by ext X simp only [Functor.comp_obj, NatTrans.comp_app, Functor.id_obj, whiskerLeft_app, Functor.map_comp, Category.assoc, unit_naturality_assoc, right_triangle_components_assoc] erw [← f.naturality (adj1.counit.app X), ← Category.assoc] simp right_inv f := by ext simp @[simp] lemma natTransEquiv_id {F : C ⥤ D} {G : D ⥤ C} (adj : F ⊣ G) : natTransEquiv adj adj (𝟙 _) = 𝟙 _ := by ext; simp @[simp] lemma natTransEquiv_id_symm {F : C ⥤ D} {G : D ⥤ C} (adj : F ⊣ G) : (natTransEquiv adj adj).symm (𝟙 _) = 𝟙 _ := by ext; simp @[simp] lemma natTransEquiv_comp {F F' F'' : C ⥤ D} {G G' G'' : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G') (adj3 : F'' ⊣ G'') (f : G ⟶ G') (g : G' ⟶ G'') : natTransEquiv adj2 adj3 g ≫ natTransEquiv adj1 adj2 f = natTransEquiv adj1 adj3 (f ≫ g) := by apply (natTransEquiv adj1 adj3).symm.injective ext X simp only [natTransEquiv_symm_apply_app, Functor.comp_obj, NatTrans.comp_app, natTransEquiv_apply_app, Functor.id_obj, whiskerLeft_app, Functor.map_comp, Category.assoc, unit_naturality_assoc, right_triangle_components_assoc, Equiv.symm_apply_apply, ← g.naturality_assoc, ← g.naturality] simp only [← Category.assoc, unit_naturality, Functor.comp_obj, right_triangle_components, Category.comp_id, ← f.naturality, Category.id_comp] @[simp] lemma natTransEquiv_comp_symm {F F' F'' : C ⥤ D} {G G' G'' : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G') (adj3 : F'' ⊣ G'') (f : F' ⟶ F) (g : F'' ⟶ F') : (natTransEquiv adj1 adj2).symm f ≫ (natTransEquiv adj2 adj3).symm g = (natTransEquiv adj1 adj3).symm (g ≫ f) := by apply (natTransEquiv adj1 adj3).injective ext simp @[simps] def natIsoEquiv {F F' : C ⥤ D} {G G' : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G') : (G ≅ G') ≃ (F' ≅ F) where toFun i := { hom := natTransEquiv adj1 adj2 i.hom inv := natTransEquiv adj2 adj1 i.inv } invFun i := { hom := (natTransEquiv adj1 adj2).symm i.hom inv := (natTransEquiv adj2 adj1).symm i.inv } left_inv i := by simp right_inv i := by simp def leftAdjointUniq {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G) : F ≅ F' := (natIsoEquiv adj1 adj2 (Iso.refl _)).symm #align category_theory.adjunction.left_adjoint_uniq CategoryTheory.Adjunction.leftAdjointUniq -- Porting note (#10618): removed simp as simp can prove this theorem homEquiv_leftAdjointUniq_hom_app {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G) (x : C) : adj1.homEquiv _ _ ((leftAdjointUniq adj1 adj2).hom.app x) = adj2.unit.app x := by simp [leftAdjointUniq] #align category_theory.adjunction.hom_equiv_left_adjoint_uniq_hom_app CategoryTheory.Adjunction.homEquiv_leftAdjointUniq_hom_app @[reassoc (attr := simp)]
Mathlib/CategoryTheory/Adjunction/Unique.lean
123
127
theorem unit_leftAdjointUniq_hom {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G) : adj1.unit ≫ whiskerRight (leftAdjointUniq adj1 adj2).hom G = adj2.unit := by
ext x rw [NatTrans.comp_app, ← homEquiv_leftAdjointUniq_hom_app adj1 adj2] simp [← G.map_comp]
import Mathlib.LinearAlgebra.Dimension.Basic import Mathlib.SetTheory.Cardinal.ToNat #align_import linear_algebra.finrank from "leanprover-community/mathlib"@"347636a7a80595d55bedf6e6fbd996a3c39da69a" universe u v w open Cardinal Submodule Module Function variable {R : Type u} {M : Type v} {N : Type w} variable [Ring R] [AddCommGroup M] [Module R M] [AddCommGroup N] [Module R N] namespace FiniteDimensional section Ring noncomputable def finrank (R M : Type*) [Semiring R] [AddCommGroup M] [Module R M] : ℕ := Cardinal.toNat (Module.rank R M) #align finite_dimensional.finrank FiniteDimensional.finrank theorem finrank_eq_of_rank_eq {n : ℕ} (h : Module.rank R M = ↑n) : finrank R M = n := by apply_fun toNat at h rw [toNat_natCast] at h exact mod_cast h #align finite_dimensional.finrank_eq_of_rank_eq FiniteDimensional.finrank_eq_of_rank_eq lemma rank_eq_one_iff_finrank_eq_one : Module.rank R M = 1 ↔ finrank R M = 1 := Cardinal.toNat_eq_one.symm lemma rank_eq_ofNat_iff_finrank_eq_ofNat (n : ℕ) [Nat.AtLeastTwo n] : Module.rank R M = OfNat.ofNat n ↔ finrank R M = OfNat.ofNat n := Cardinal.toNat_eq_ofNat.symm
Mathlib/LinearAlgebra/Dimension/Finrank.lean
72
75
theorem finrank_le_of_rank_le {n : ℕ} (h : Module.rank R M ≤ ↑n) : finrank R M ≤ n := by
rwa [← Cardinal.toNat_le_iff_le_of_lt_aleph0, toNat_natCast] at h · exact h.trans_lt (nat_lt_aleph0 n) · exact nat_lt_aleph0 n
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Basic import Mathlib.RingTheory.Ideal.Maps import Mathlib.RingTheory.MvPowerSeries.Basic #align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60" noncomputable section open Finset (antidiagonal mem_antidiagonal) def PowerSeries (R : Type*) := MvPowerSeries Unit R #align power_series PowerSeries namespace PowerSeries open Finsupp (single) variable {R : Type*} section -- Porting note: not available in Lean 4 -- local reducible PowerSeries scoped notation:9000 R "⟦X⟧" => PowerSeries R instance [Inhabited R] : Inhabited R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [Zero R] : Zero R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [AddMonoid R] : AddMonoid R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [AddGroup R] : AddGroup R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [AddCommMonoid R] : AddCommMonoid R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [AddCommGroup R] : AddCommGroup R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [Semiring R] : Semiring R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [CommSemiring R] : CommSemiring R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [Ring R] : Ring R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [CommRing R] : CommRing R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [Nontrivial R] : Nontrivial R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance {A} [Semiring R] [AddCommMonoid A] [Module R A] : Module R A⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance {A S} [Semiring R] [Semiring S] [AddCommMonoid A] [Module R A] [Module S A] [SMul R S] [IsScalarTower R S A] : IsScalarTower R S A⟦X⟧ := Pi.isScalarTower instance {A} [Semiring A] [CommSemiring R] [Algebra R A] : Algebra R A⟦X⟧ := by dsimp only [PowerSeries] infer_instance end section Semiring variable (R) [Semiring R] def coeff (n : ℕ) : R⟦X⟧ →ₗ[R] R := MvPowerSeries.coeff R (single () n) #align power_series.coeff PowerSeries.coeff def monomial (n : ℕ) : R →ₗ[R] R⟦X⟧ := MvPowerSeries.monomial R (single () n) #align power_series.monomial PowerSeries.monomial variable {R}
Mathlib/RingTheory/PowerSeries/Basic.lean
150
151
theorem coeff_def {s : Unit →₀ ℕ} {n : ℕ} (h : s () = n) : coeff R n = MvPowerSeries.coeff R s := by
erw [coeff, ← h, ← Finsupp.unique_single s]
import Mathlib.Algebra.Ring.Int import Mathlib.Data.Nat.Bitwise import Mathlib.Data.Nat.Size #align_import data.int.bitwise from "leanprover-community/mathlib"@"0743cc5d9d86bcd1bba10f480e948a257d65056f" #align_import init.data.int.bitwise from "leanprover-community/lean"@"855e5b74e3a52a40552e8f067169d747d48743fd" namespace Int def div2 : ℤ → ℤ | (n : ℕ) => n.div2 | -[n +1] => negSucc n.div2 #align int.div2 Int.div2 def bodd : ℤ → Bool | (n : ℕ) => n.bodd | -[n +1] => not (n.bodd) #align int.bodd Int.bodd -- Porting note: `bit0, bit1` deprecated, do we need to adapt `bit`? set_option linter.deprecated false in def bit (b : Bool) : ℤ → ℤ := cond b bit1 bit0 #align int.bit Int.bit def testBit : ℤ → ℕ → Bool | (m : ℕ), n => Nat.testBit m n | -[m +1], n => !(Nat.testBit m n) #align int.test_bit Int.testBit def natBitwise (f : Bool → Bool → Bool) (m n : ℕ) : ℤ := cond (f false false) -[ Nat.bitwise (fun x y => not (f x y)) m n +1] (Nat.bitwise f m n) #align int.nat_bitwise Int.natBitwise def bitwise (f : Bool → Bool → Bool) : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => natBitwise f m n | (m : ℕ), -[n +1] => natBitwise (fun x y => f x (not y)) m n | -[m +1], (n : ℕ) => natBitwise (fun x y => f (not x) y) m n | -[m +1], -[n +1] => natBitwise (fun x y => f (not x) (not y)) m n #align int.bitwise Int.bitwise def lnot : ℤ → ℤ | (m : ℕ) => -[m +1] | -[m +1] => m #align int.lnot Int.lnot def lor : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => m ||| n | (m : ℕ), -[n +1] => -[Nat.ldiff n m +1] | -[m +1], (n : ℕ) => -[Nat.ldiff m n +1] | -[m +1], -[n +1] => -[m &&& n +1] #align int.lor Int.lor def land : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => m &&& n | (m : ℕ), -[n +1] => Nat.ldiff m n | -[m +1], (n : ℕ) => Nat.ldiff n m | -[m +1], -[n +1] => -[m ||| n +1] #align int.land Int.land -- Porting note: I don't know why `Nat.ldiff` got the prime, but I'm matching this change here def ldiff : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => Nat.ldiff m n | (m : ℕ), -[n +1] => m &&& n | -[m +1], (n : ℕ) => -[m ||| n +1] | -[m +1], -[n +1] => Nat.ldiff n m #align int.ldiff Int.ldiff -- Porting note: I don't know why `Nat.xor'` got the prime, but I'm matching this change here protected def xor : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => (m ^^^ n) | (m : ℕ), -[n +1] => -[(m ^^^ n) +1] | -[m +1], (n : ℕ) => -[(m ^^^ n) +1] | -[m +1], -[n +1] => (m ^^^ n) #align int.lxor Int.xor instance : ShiftLeft ℤ where shiftLeft | (m : ℕ), (n : ℕ) => Nat.shiftLeft' false m n | (m : ℕ), -[n +1] => m >>> (Nat.succ n) | -[m +1], (n : ℕ) => -[Nat.shiftLeft' true m n +1] | -[m +1], -[n +1] => -[m >>> (Nat.succ n) +1] #align int.shiftl ShiftLeft.shiftLeft instance : ShiftRight ℤ where shiftRight m n := m <<< (-n) #align int.shiftr ShiftRight.shiftRight @[simp] theorem bodd_zero : bodd 0 = false := rfl #align int.bodd_zero Int.bodd_zero @[simp] theorem bodd_one : bodd 1 = true := rfl #align int.bodd_one Int.bodd_one theorem bodd_two : bodd 2 = false := rfl #align int.bodd_two Int.bodd_two @[simp, norm_cast] theorem bodd_coe (n : ℕ) : Int.bodd n = Nat.bodd n := rfl #align int.bodd_coe Int.bodd_coe @[simp] theorem bodd_subNatNat (m n : ℕ) : bodd (subNatNat m n) = xor m.bodd n.bodd := by apply subNatNat_elim m n fun m n i => bodd i = xor m.bodd n.bodd <;> intros i j <;> simp only [Int.bodd, Int.bodd_coe, Nat.bodd_add] <;> cases Nat.bodd i <;> simp #align int.bodd_sub_nat_nat Int.bodd_subNatNat @[simp] theorem bodd_negOfNat (n : ℕ) : bodd (negOfNat n) = n.bodd := by cases n <;> simp (config := {decide := true}) rfl #align int.bodd_neg_of_nat Int.bodd_negOfNat @[simp]
Mathlib/Data/Int/Bitwise.lean
159
167
theorem bodd_neg (n : ℤ) : bodd (-n) = bodd n := by
cases n with | ofNat => rw [← negOfNat_eq, bodd_negOfNat] simp | negSucc n => rw [neg_negSucc, bodd_coe, Nat.bodd_succ] change (!Nat.bodd n) = !(bodd n) rw [bodd_coe]
import Mathlib.FieldTheory.SeparableClosure import Mathlib.Algebra.CharP.IntermediateField open FiniteDimensional Polynomial IntermediateField Field noncomputable section universe u v w variable (F : Type u) (E : Type v) [Field F] [Field E] [Algebra F E] variable (K : Type w) [Field K] [Algebra F K] section IsPurelyInseparable class IsPurelyInseparable : Prop where isIntegral : Algebra.IsIntegral F E inseparable' (x : E) : (minpoly F x).Separable → x ∈ (algebraMap F E).range attribute [instance] IsPurelyInseparable.isIntegral variable {E} in theorem IsPurelyInseparable.isIntegral' [IsPurelyInseparable F E] (x : E) : IsIntegral F x := Algebra.IsIntegral.isIntegral _ theorem IsPurelyInseparable.isAlgebraic [IsPurelyInseparable F E] : Algebra.IsAlgebraic F E := inferInstance variable {E} theorem IsPurelyInseparable.inseparable [IsPurelyInseparable F E] : ∀ x : E, (minpoly F x).Separable → x ∈ (algebraMap F E).range := IsPurelyInseparable.inseparable' variable {F K} theorem isPurelyInseparable_iff : IsPurelyInseparable F E ↔ ∀ x : E, IsIntegral F x ∧ ((minpoly F x).Separable → x ∈ (algebraMap F E).range) := ⟨fun h x ↦ ⟨h.isIntegral' x, h.inseparable' x⟩, fun h ↦ ⟨⟨fun x ↦ (h x).1⟩, fun x ↦ (h x).2⟩⟩ theorem AlgEquiv.isPurelyInseparable (e : K ≃ₐ[F] E) [IsPurelyInseparable F K] : IsPurelyInseparable F E := by refine ⟨⟨fun _ ↦ by rw [← isIntegral_algEquiv e.symm]; exact IsPurelyInseparable.isIntegral' F _⟩, fun x h ↦ ?_⟩ rw [← minpoly.algEquiv_eq e.symm] at h simpa only [RingHom.mem_range, algebraMap_eq_apply] using IsPurelyInseparable.inseparable F _ h theorem AlgEquiv.isPurelyInseparable_iff (e : K ≃ₐ[F] E) : IsPurelyInseparable F K ↔ IsPurelyInseparable F E := ⟨fun _ ↦ e.isPurelyInseparable, fun _ ↦ e.symm.isPurelyInseparable⟩ theorem Algebra.IsAlgebraic.isPurelyInseparable_of_isSepClosed [Algebra.IsAlgebraic F E] [IsSepClosed F] : IsPurelyInseparable F E := ⟨inferInstance, fun x h ↦ minpoly.mem_range_of_degree_eq_one F x <| IsSepClosed.degree_eq_one_of_irreducible F (minpoly.irreducible (Algebra.IsIntegral.isIntegral _)) h⟩ variable (F E K) theorem IsPurelyInseparable.surjective_algebraMap_of_isSeparable [IsPurelyInseparable F E] [IsSeparable F E] : Function.Surjective (algebraMap F E) := fun x ↦ IsPurelyInseparable.inseparable F x (IsSeparable.separable F x) theorem IsPurelyInseparable.bijective_algebraMap_of_isSeparable [IsPurelyInseparable F E] [IsSeparable F E] : Function.Bijective (algebraMap F E) := ⟨(algebraMap F E).injective, surjective_algebraMap_of_isSeparable F E⟩ variable {F E} in theorem IntermediateField.eq_bot_of_isPurelyInseparable_of_isSeparable (L : IntermediateField F E) [IsPurelyInseparable F L] [IsSeparable F L] : L = ⊥ := bot_unique fun x hx ↦ by obtain ⟨y, hy⟩ := IsPurelyInseparable.surjective_algebraMap_of_isSeparable F L ⟨x, hx⟩ exact ⟨y, congr_arg (algebraMap L E) hy⟩ theorem separableClosure.eq_bot_of_isPurelyInseparable [IsPurelyInseparable F E] : separableClosure F E = ⊥ := bot_unique fun x h ↦ IsPurelyInseparable.inseparable F x (mem_separableClosure_iff.1 h) variable {F E} in theorem separableClosure.eq_bot_iff [Algebra.IsAlgebraic F E] : separableClosure F E = ⊥ ↔ IsPurelyInseparable F E := ⟨fun h ↦ isPurelyInseparable_iff.2 fun x ↦ ⟨Algebra.IsIntegral.isIntegral x, fun hs ↦ by simpa only [h] using mem_separableClosure_iff.2 hs⟩, fun _ ↦ eq_bot_of_isPurelyInseparable F E⟩ instance isPurelyInseparable_self : IsPurelyInseparable F F := ⟨inferInstance, fun x _ ↦ ⟨x, rfl⟩⟩ variable {E}
Mathlib/FieldTheory/PurelyInseparable.lean
230
243
theorem isPurelyInseparable_iff_pow_mem (q : ℕ) [ExpChar F q] : IsPurelyInseparable F E ↔ ∀ x : E, ∃ n : ℕ, x ^ q ^ n ∈ (algebraMap F E).range := by
rw [isPurelyInseparable_iff] refine ⟨fun h x ↦ ?_, fun h x ↦ ?_⟩ · obtain ⟨g, h1, n, h2⟩ := (minpoly.irreducible (h x).1).hasSeparableContraction q exact ⟨n, (h _).2 <| h1.of_dvd <| minpoly.dvd F _ <| by simpa only [expand_aeval, minpoly.aeval] using congr_arg (aeval x) h2⟩ have hdeg := (minpoly.natSepDegree_eq_one_iff_pow_mem q).2 (h x) have halg : IsIntegral F x := by_contra fun h' ↦ by simp only [minpoly.eq_zero h', natSepDegree_zero, zero_ne_one] at hdeg refine ⟨halg, fun hsep ↦ ?_⟩ rw [hsep.natSepDegree_eq_natDegree, ← adjoin.finrank halg, IntermediateField.finrank_eq_one_iff] at hdeg simpa only [hdeg] using mem_adjoin_simple_self F x
import Mathlib.Algebra.Ring.Pi import Mathlib.Algebra.Ring.Prod import Mathlib.Algebra.Ring.InjSurj import Mathlib.Tactic.Monotonicity.Attr #align_import algebra.order.kleene from "leanprover-community/mathlib"@"98e83c3d541c77cdb7da20d79611a780ff8e7d90" open Function universe u variable {α β ι : Type*} {π : ι → Type*} class IdemSemiring (α : Type u) extends Semiring α, SemilatticeSup α where protected sup := (· + ·) protected add_eq_sup : ∀ a b : α, a + b = a ⊔ b := by intros rfl protected bot : α := 0 protected bot_le : ∀ a, bot ≤ a #align idem_semiring IdemSemiring class IdemCommSemiring (α : Type u) extends CommSemiring α, IdemSemiring α #align idem_comm_semiring IdemCommSemiring class KStar (α : Type*) where protected kstar : α → α #align has_kstar KStar @[inherit_doc] scoped[Computability] postfix:1024 "∗" => KStar.kstar open Computability class KleeneAlgebra (α : Type*) extends IdemSemiring α, KStar α where protected one_le_kstar : ∀ a : α, 1 ≤ a∗ protected mul_kstar_le_kstar : ∀ a : α, a * a∗ ≤ a∗ protected kstar_mul_le_kstar : ∀ a : α, a∗ * a ≤ a∗ protected mul_kstar_le_self : ∀ a b : α, b * a ≤ b → b * a∗ ≤ b protected kstar_mul_le_self : ∀ a b : α, a * b ≤ b → a∗ * b ≤ b #align kleene_algebra KleeneAlgebra -- See note [lower instance priority] instance (priority := 100) IdemSemiring.toOrderBot [IdemSemiring α] : OrderBot α := { ‹IdemSemiring α› with } #align idem_semiring.to_order_bot IdemSemiring.toOrderBot -- See note [reducible non-instances] abbrev IdemSemiring.ofSemiring [Semiring α] (h : ∀ a : α, a + a = a) : IdemSemiring α := { ‹Semiring α› with le := fun a b ↦ a + b = b le_refl := h le_trans := fun a b c hab hbc ↦ by simp only rw [← hbc, ← add_assoc, hab] le_antisymm := fun a b hab hba ↦ by rwa [← hba, add_comm] sup := (· + ·) le_sup_left := fun a b ↦ by simp only rw [← add_assoc, h] le_sup_right := fun a b ↦ by simp only rw [add_comm, add_assoc, h] sup_le := fun a b c hab hbc ↦ by simp only rwa [add_assoc, hbc] bot := 0 bot_le := zero_add } #align idem_semiring.of_semiring IdemSemiring.ofSemiring section IdemSemiring variable [IdemSemiring α] {a b c : α} theorem add_eq_sup (a b : α) : a + b = a ⊔ b := IdemSemiring.add_eq_sup _ _ #align add_eq_sup add_eq_sup -- Porting note: This simp theorem often leads to timeout when `α` has rich structure. -- So, this theorem should be scoped. scoped[Computability] attribute [simp] add_eq_sup theorem add_idem (a : α) : a + a = a := by simp #align add_idem add_idem theorem nsmul_eq_self : ∀ {n : ℕ} (_ : n ≠ 0) (a : α), n • a = a | 0, h => (h rfl).elim | 1, _ => one_nsmul | n + 2, _ => fun a ↦ by rw [succ_nsmul, nsmul_eq_self n.succ_ne_zero, add_idem] #align nsmul_eq_self nsmul_eq_self theorem add_eq_left_iff_le : a + b = a ↔ b ≤ a := by simp #align add_eq_left_iff_le add_eq_left_iff_le
Mathlib/Algebra/Order/Kleene.lean
154
154
theorem add_eq_right_iff_le : a + b = b ↔ a ≤ b := by
simp
import Mathlib.Combinatorics.Quiver.Cast import Mathlib.Combinatorics.Quiver.Symmetric #align_import combinatorics.quiver.single_obj from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226" namespace Quiver -- Porting note: Removed `deriving Unique`. @[nolint unusedArguments] def SingleObj (_ : Type*) : Type := Unit #align quiver.single_obj Quiver.SingleObj -- Porting note: `deriving` from above has been moved to below. instance {α : Type*} : Unique (SingleObj α) where default := ⟨⟩ uniq := fun _ => rfl namespace SingleObj variable (α β γ : Type*) instance : Quiver (SingleObj α) := ⟨fun _ _ => α⟩ def star : SingleObj α := Unit.unit #align quiver.single_obj.star Quiver.SingleObj.star instance : Inhabited (SingleObj α) := ⟨star α⟩ variable {α β γ} lemma ext {x y : SingleObj α} : x = y := Unit.ext x y -- See note [reducible non-instances] abbrev hasReverse (rev : α → α) : HasReverse (SingleObj α) := ⟨rev⟩ #align quiver.single_obj.has_reverse Quiver.SingleObj.hasReverse -- See note [reducible non-instances] abbrev hasInvolutiveReverse (rev : α → α) (h : Function.Involutive rev) : HasInvolutiveReverse (SingleObj α) where toHasReverse := hasReverse rev inv' := h #align quiver.single_obj.has_involutive_reverse Quiver.SingleObj.hasInvolutiveReverse @[simps!] def toHom : α ≃ (star α ⟶ star α) := Equiv.refl _ #align quiver.single_obj.to_hom Quiver.SingleObj.toHom #align quiver.single_obj.to_hom_apply Quiver.SingleObj.toHom_apply #align quiver.single_obj.to_hom_symm_apply Quiver.SingleObj.toHom_symm_apply @[simps] def toPrefunctor : (α → β) ≃ SingleObj α ⥤q SingleObj β where toFun f := ⟨id, f⟩ invFun f a := f.map (toHom a) left_inv _ := rfl right_inv _ := rfl #align quiver.single_obj.to_prefunctor_symm_apply Quiver.SingleObj.toPrefunctor_symm_apply #align quiver.single_obj.to_prefunctor_apply_map Quiver.SingleObj.toPrefunctor_apply_map #align quiver.single_obj.to_prefunctor_apply_obj Quiver.SingleObj.toPrefunctor_apply_obj #align quiver.single_obj.to_prefunctor Quiver.SingleObj.toPrefunctor theorem toPrefunctor_id : toPrefunctor id = 𝟭q (SingleObj α) := rfl #align quiver.single_obj.to_prefunctor_id Quiver.SingleObj.toPrefunctor_id @[simp] theorem toPrefunctor_symm_id : toPrefunctor.symm (𝟭q (SingleObj α)) = id := rfl #align quiver.single_obj.to_prefunctor_symm_id Quiver.SingleObj.toPrefunctor_symm_id theorem toPrefunctor_comp (f : α → β) (g : β → γ) : toPrefunctor (g ∘ f) = toPrefunctor f ⋙q toPrefunctor g := rfl #align quiver.single_obj.to_prefunctor_comp Quiver.SingleObj.toPrefunctor_comp @[simp]
Mathlib/Combinatorics/Quiver/SingleObj.lean
110
112
theorem toPrefunctor_symm_comp (f : SingleObj α ⥤q SingleObj β) (g : SingleObj β ⥤q SingleObj γ) : toPrefunctor.symm (f ⋙q g) = toPrefunctor.symm g ∘ toPrefunctor.symm f := by
simp only [Equiv.symm_apply_eq, toPrefunctor_comp, Equiv.apply_symm_apply]
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.BigOperators import Mathlib.Algebra.Polynomial.Degree.Lemmas import Mathlib.Algebra.Polynomial.Div #align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8" noncomputable section open Polynomial open Finset namespace Polynomial universe u v w z variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ} section NoZeroDivisors variable [Semiring R] [NoZeroDivisors R] {p q : R[X]} instance : NoZeroDivisors R[X] where eq_zero_or_eq_zero_of_mul_eq_zero h := by rw [← leadingCoeff_eq_zero, ← leadingCoeff_eq_zero] refine eq_zero_or_eq_zero_of_mul_eq_zero ?_ rw [← leadingCoeff_zero, ← leadingCoeff_mul, h] theorem natDegree_mul (hp : p ≠ 0) (hq : q ≠ 0) : (p*q).natDegree = p.natDegree + q.natDegree := by rw [← Nat.cast_inj (R := WithBot ℕ), ← degree_eq_natDegree (mul_ne_zero hp hq), Nat.cast_add, ← degree_eq_natDegree hp, ← degree_eq_natDegree hq, degree_mul] #align polynomial.nat_degree_mul Polynomial.natDegree_mul theorem trailingDegree_mul : (p * q).trailingDegree = p.trailingDegree + q.trailingDegree := by by_cases hp : p = 0 · rw [hp, zero_mul, trailingDegree_zero, top_add] by_cases hq : q = 0 · rw [hq, mul_zero, trailingDegree_zero, add_top] · rw [trailingDegree_eq_natTrailingDegree hp, trailingDegree_eq_natTrailingDegree hq, trailingDegree_eq_natTrailingDegree (mul_ne_zero hp hq), natTrailingDegree_mul hp hq] apply WithTop.coe_add #align polynomial.trailing_degree_mul Polynomial.trailingDegree_mul @[simp]
Mathlib/Algebra/Polynomial/RingDivision.lean
140
145
theorem natDegree_pow (p : R[X]) (n : ℕ) : natDegree (p ^ n) = n * natDegree p := by
classical obtain rfl | hp := eq_or_ne p 0 · obtain rfl | hn := eq_or_ne n 0 <;> simp [*] exact natDegree_pow' $ by rw [← leadingCoeff_pow, Ne, leadingCoeff_eq_zero]; exact pow_ne_zero _ hp
import Mathlib.Data.List.Join #align_import data.list.permutation from "leanprover-community/mathlib"@"dd71334db81d0bd444af1ee339a29298bef40734" -- Make sure we don't import algebra assert_not_exists Monoid open Nat variable {α β : Type*} namespace List theorem permutationsAux2_fst (t : α) (ts : List α) (r : List β) : ∀ (ys : List α) (f : List α → β), (permutationsAux2 t ts r ys f).1 = ys ++ ts | [], f => rfl | y :: ys, f => by simp [permutationsAux2, permutationsAux2_fst t _ _ ys] #align list.permutations_aux2_fst List.permutationsAux2_fst @[simp] theorem permutationsAux2_snd_nil (t : α) (ts : List α) (r : List β) (f : List α → β) : (permutationsAux2 t ts r [] f).2 = r := rfl #align list.permutations_aux2_snd_nil List.permutationsAux2_snd_nil @[simp] theorem permutationsAux2_snd_cons (t : α) (ts : List α) (r : List β) (y : α) (ys : List α) (f : List α → β) : (permutationsAux2 t ts r (y :: ys) f).2 = f (t :: y :: ys ++ ts) :: (permutationsAux2 t ts r ys fun x : List α => f (y :: x)).2 := by simp [permutationsAux2, permutationsAux2_fst t _ _ ys] #align list.permutations_aux2_snd_cons List.permutationsAux2_snd_cons
Mathlib/Data/List/Permutation.lean
77
79
theorem permutationsAux2_append (t : α) (ts : List α) (r : List β) (ys : List α) (f : List α → β) : (permutationsAux2 t ts nil ys f).2 ++ r = (permutationsAux2 t ts r ys f).2 := by
induction ys generalizing f <;> simp [*]
import Mathlib.Geometry.Manifold.ContMDiff.Defs open Set Filter Function open scoped Topology Manifold variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] -- declare a smooth manifold `M` over the pair `(E, H)`. {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] -- declare a smooth manifold `M'` over the pair `(E', H')`. {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] [SmoothManifoldWithCorners I' M'] -- declare a manifold `M''` over the pair `(E'', H'')`. {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H''] {I'' : ModelWithCorners 𝕜 E'' H''} {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M''] -- declare functions, sets, points and smoothness indices {e : PartialHomeomorph M H} {e' : PartialHomeomorph M' H'} {f f₁ : M → M'} {s s₁ t : Set M} {x : M} {m n : ℕ∞} variable {I I'} section id variable {c : M'} theorem contMDiff_const : ContMDiff I I' n fun _ : M => c := by intro x refine ⟨continuousWithinAt_const, ?_⟩ simp only [ContDiffWithinAtProp, (· ∘ ·)] exact contDiffWithinAt_const #align cont_mdiff_const contMDiff_const @[to_additive] theorem contMDiff_one [One M'] : ContMDiff I I' n (1 : M → M') := by simp only [Pi.one_def, contMDiff_const] #align cont_mdiff_one contMDiff_one #align cont_mdiff_zero contMDiff_zero theorem smooth_const : Smooth I I' fun _ : M => c := contMDiff_const #align smooth_const smooth_const @[to_additive]
Mathlib/Geometry/Manifold/ContMDiff/Basic.lean
262
262
theorem smooth_one [One M'] : Smooth I I' (1 : M → M') := by
simp only [Pi.one_def, smooth_const]
import Mathlib.Analysis.InnerProductSpace.Adjoint #align_import analysis.inner_product_space.positive from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" open InnerProductSpace RCLike ContinuousLinearMap open scoped InnerProduct ComplexConjugate namespace ContinuousLinearMap variable {𝕜 E F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup E] [NormedAddCommGroup F] variable [InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 F] variable [CompleteSpace E] [CompleteSpace F] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y def IsPositive (T : E →L[𝕜] E) : Prop := IsSelfAdjoint T ∧ ∀ x, 0 ≤ T.reApplyInnerSelf x #align continuous_linear_map.is_positive ContinuousLinearMap.IsPositive theorem IsPositive.isSelfAdjoint {T : E →L[𝕜] E} (hT : IsPositive T) : IsSelfAdjoint T := hT.1 #align continuous_linear_map.is_positive.is_self_adjoint ContinuousLinearMap.IsPositive.isSelfAdjoint theorem IsPositive.inner_nonneg_left {T : E →L[𝕜] E} (hT : IsPositive T) (x : E) : 0 ≤ re ⟪T x, x⟫ := hT.2 x #align continuous_linear_map.is_positive.inner_nonneg_left ContinuousLinearMap.IsPositive.inner_nonneg_left
Mathlib/Analysis/InnerProductSpace/Positive.lean
67
68
theorem IsPositive.inner_nonneg_right {T : E →L[𝕜] E} (hT : IsPositive T) (x : E) : 0 ≤ re ⟪x, T x⟫ := by
rw [inner_re_symm]; exact hT.inner_nonneg_left x
import Mathlib.MeasureTheory.Group.GeometryOfNumbers import Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls import Mathlib.NumberTheory.NumberField.CanonicalEmbedding.Basic #align_import number_theory.number_field.canonical_embedding from "leanprover-community/mathlib"@"60da01b41bbe4206f05d34fd70c8dd7498717a30" variable (K : Type*) [Field K] namespace NumberField.mixedEmbedding open NumberField NumberField.InfinitePlace FiniteDimensional local notation "E" K => ({w : InfinitePlace K // IsReal w} → ℝ) × ({w : InfinitePlace K // IsComplex w} → ℂ) section convexBodySum open ENNReal MeasureTheory Fintype open scoped Real Classical NNReal variable [NumberField K] (B : ℝ) variable {K} noncomputable abbrev convexBodySumFun (x : E K) : ℝ := ∑ w, mult w * normAtPlace w x theorem convexBodySumFun_apply (x : E K) : convexBodySumFun x = ∑ w, mult w * normAtPlace w x := rfl theorem convexBodySumFun_apply' (x : E K) : convexBodySumFun x = ∑ w, ‖x.1 w‖ + 2 * ∑ w, ‖x.2 w‖ := by simp_rw [convexBodySumFun_apply, ← Finset.sum_add_sum_compl {w | IsReal w}.toFinset, Set.toFinset_setOf, Finset.compl_filter, not_isReal_iff_isComplex, ← Finset.subtype_univ, ← Finset.univ.sum_subtype_eq_sum_filter, Finset.mul_sum] congr · ext w rw [mult, if_pos w.prop, normAtPlace_apply_isReal, Nat.cast_one, one_mul] · ext w rw [mult, if_neg (not_isReal_iff_isComplex.mpr w.prop), normAtPlace_apply_isComplex, Nat.cast_ofNat] theorem convexBodySumFun_nonneg (x : E K) : 0 ≤ convexBodySumFun x := Finset.sum_nonneg (fun _ _ => mul_nonneg (Nat.cast_pos.mpr mult_pos).le (normAtPlace_nonneg _ _)) theorem convexBodySumFun_neg (x : E K) : convexBodySumFun (- x) = convexBodySumFun x := by simp_rw [convexBodySumFun, normAtPlace_neg] theorem convexBodySumFun_add_le (x y : E K) : convexBodySumFun (x + y) ≤ convexBodySumFun x + convexBodySumFun y := by simp_rw [convexBodySumFun, ← Finset.sum_add_distrib, ← mul_add] exact Finset.sum_le_sum fun _ _ ↦ mul_le_mul_of_nonneg_left (normAtPlace_add_le _ x y) (Nat.cast_pos.mpr mult_pos).le theorem convexBodySumFun_smul (c : ℝ) (x : E K) : convexBodySumFun (c • x) = |c| * convexBodySumFun x := by simp_rw [convexBodySumFun, normAtPlace_smul, ← mul_assoc, mul_comm, Finset.mul_sum, mul_assoc]
Mathlib/NumberTheory/NumberField/CanonicalEmbedding/ConvexBody.lean
316
324
theorem convexBodySumFun_eq_zero_iff (x : E K) : convexBodySumFun x = 0 ↔ x = 0 := by
rw [← normAtPlace_eq_zero, convexBodySumFun, Finset.sum_eq_zero_iff_of_nonneg fun _ _ => mul_nonneg (Nat.cast_pos.mpr mult_pos).le (normAtPlace_nonneg _ _)] conv => enter [1, w, hw] rw [mul_left_mem_nonZeroDivisors_eq_zero_iff (mem_nonZeroDivisors_iff_ne_zero.mpr <| Nat.cast_ne_zero.mpr mult_ne_zero)] simp_rw [Finset.mem_univ, true_implies]
import Mathlib.LinearAlgebra.Isomorphisms import Mathlib.Algebra.Category.ModuleCat.Kernels import Mathlib.Algebra.Category.ModuleCat.Limits import Mathlib.CategoryTheory.Abelian.Exact #align_import algebra.category.Module.abelian from "leanprover-community/mathlib"@"09f981f72d43749f1fa072deade828d9c1e185bb" open CategoryTheory open CategoryTheory.Limits noncomputable section universe w v u namespace ModuleCat variable {R : Type u} [Ring R] {M N : ModuleCat.{v} R} (f : M ⟶ N) def normalMono (hf : Mono f) : NormalMono f where Z := of R (N ⧸ LinearMap.range f) g := f.range.mkQ w := LinearMap.range_mkQ_comp _ isLimit := IsKernel.isoKernel _ _ (kernelIsLimit _) (LinearEquiv.toModuleIso' ((Submodule.quotEquivOfEqBot _ (ker_eq_bot_of_mono _)).symm ≪≫ₗ (LinearMap.quotKerEquivRange f ≪≫ₗ LinearEquiv.ofEq _ _ (Submodule.ker_mkQ _).symm))) <| by ext; rfl set_option linter.uppercaseLean3 false in #align Module.normal_mono ModuleCat.normalMono def normalEpi (hf : Epi f) : NormalEpi f where W := of R (LinearMap.ker f) g := (LinearMap.ker f).subtype w := LinearMap.comp_ker_subtype _ isColimit := IsCokernel.cokernelIso _ _ (cokernelIsColimit _) (LinearEquiv.toModuleIso' (Submodule.quotEquivOfEq _ _ (Submodule.range_subtype _) ≪≫ₗ LinearMap.quotKerEquivRange f ≪≫ₗ LinearEquiv.ofTop _ (range_eq_top_of_epi _))) <| by ext; rfl set_option linter.uppercaseLean3 false in #align Module.normal_epi ModuleCat.normalEpi instance abelian : Abelian (ModuleCat.{v} R) where has_cokernels := hasCokernels_moduleCat normalMonoOfMono := normalMono normalEpiOfEpi := normalEpi set_option linter.uppercaseLean3 false in #align Module.abelian ModuleCat.abelian variable {O : ModuleCat.{v} R} (g : N ⟶ O) open LinearMap attribute [local instance] Preadditive.hasEqualizers_of_hasKernels
Mathlib/Algebra/Category/ModuleCat/Abelian.lean
123
127
theorem exact_iff : Exact f g ↔ LinearMap.range f = LinearMap.ker g := by
rw [abelian.exact_iff' f g (kernelIsLimit _) (cokernelIsColimit _)] exact ⟨fun h => le_antisymm (range_le_ker_iff.2 h.1) (ker_le_range_iff.2 h.2), fun h => ⟨range_le_ker_iff.1 <| le_of_eq h, ker_le_range_iff.1 <| le_of_eq h.symm⟩⟩
import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar import Mathlib.MeasureTheory.Integral.Layercake #align_import analysis.special_functions.japanese_bracket from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open scoped NNReal Filter Topology ENNReal open Asymptotics Filter Set Real MeasureTheory FiniteDimensional variable {E : Type*} [NormedAddCommGroup E] theorem sqrt_one_add_norm_sq_le (x : E) : √((1 : ℝ) + ‖x‖ ^ 2) ≤ 1 + ‖x‖ := by rw [sqrt_le_left (by positivity)] simp [add_sq] #align sqrt_one_add_norm_sq_le sqrt_one_add_norm_sq_le theorem one_add_norm_le_sqrt_two_mul_sqrt (x : E) : (1 : ℝ) + ‖x‖ ≤ √2 * √(1 + ‖x‖ ^ 2) := by rw [← sqrt_mul zero_le_two] have := sq_nonneg (‖x‖ - 1) apply le_sqrt_of_sq_le linarith #align one_add_norm_le_sqrt_two_mul_sqrt one_add_norm_le_sqrt_two_mul_sqrt theorem rpow_neg_one_add_norm_sq_le {r : ℝ} (x : E) (hr : 0 < r) : ((1 : ℝ) + ‖x‖ ^ 2) ^ (-r / 2) ≤ (2 : ℝ) ^ (r / 2) * (1 + ‖x‖) ^ (-r) := calc ((1 : ℝ) + ‖x‖ ^ 2) ^ (-r / 2) = (2 : ℝ) ^ (r / 2) * ((√2 * √((1 : ℝ) + ‖x‖ ^ 2)) ^ r)⁻¹ := by rw [rpow_div_two_eq_sqrt, rpow_div_two_eq_sqrt, mul_rpow, mul_inv, rpow_neg, mul_inv_cancel_left₀] <;> positivity _ ≤ (2 : ℝ) ^ (r / 2) * ((1 + ‖x‖) ^ r)⁻¹ := by gcongr apply one_add_norm_le_sqrt_two_mul_sqrt _ = (2 : ℝ) ^ (r / 2) * (1 + ‖x‖) ^ (-r) := by rw [rpow_neg]; positivity #align rpow_neg_one_add_norm_sq_le rpow_neg_one_add_norm_sq_le
Mathlib/Analysis/SpecialFunctions/JapaneseBracket.lean
62
65
theorem le_rpow_one_add_norm_iff_norm_le {r t : ℝ} (hr : 0 < r) (ht : 0 < t) (x : E) : t ≤ (1 + ‖x‖) ^ (-r) ↔ ‖x‖ ≤ t ^ (-r⁻¹) - 1 := by
rw [le_sub_iff_add_le', neg_inv] exact (Real.le_rpow_inv_iff_of_neg (by positivity) ht (neg_lt_zero.mpr hr)).symm
import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots import Mathlib.Tactic.ByContra import Mathlib.Topology.Algebra.Polynomial import Mathlib.NumberTheory.Padics.PadicVal import Mathlib.Analysis.Complex.Arg #align_import ring_theory.polynomial.cyclotomic.eval from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32" namespace Polynomial open Finset Nat @[simp] theorem eval_one_cyclotomic_prime {R : Type*} [CommRing R] {p : ℕ} [hn : Fact p.Prime] : eval 1 (cyclotomic p R) = p := by simp only [cyclotomic_prime, eval_X, one_pow, Finset.sum_const, eval_pow, eval_finset_sum, Finset.card_range, smul_one_eq_cast] #align polynomial.eval_one_cyclotomic_prime Polynomial.eval_one_cyclotomic_prime -- @[simp] -- Porting note (#10618): simp already proves this
Mathlib/RingTheory/Polynomial/Cyclotomic/Eval.lean
36
37
theorem eval₂_one_cyclotomic_prime {R S : Type*} [CommRing R] [Semiring S] (f : R →+* S) {p : ℕ} [Fact p.Prime] : eval₂ f 1 (cyclotomic p R) = p := by
simp
import Mathlib.Analysis.SpecialFunctions.Pow.Complex import Qq #align_import analysis.special_functions.pow.real from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8" noncomputable section open scoped Classical open Real ComplexConjugate open Finset Set namespace Real variable {x y z : ℝ} noncomputable def rpow (x y : ℝ) := ((x : ℂ) ^ (y : ℂ)).re #align real.rpow Real.rpow noncomputable instance : Pow ℝ ℝ := ⟨rpow⟩ @[simp] theorem rpow_eq_pow (x y : ℝ) : rpow x y = x ^ y := rfl #align real.rpow_eq_pow Real.rpow_eq_pow theorem rpow_def (x y : ℝ) : x ^ y = ((x : ℂ) ^ (y : ℂ)).re := rfl #align real.rpow_def Real.rpow_def theorem rpow_def_of_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) : x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) := by simp only [rpow_def, Complex.cpow_def]; split_ifs <;> simp_all [(Complex.ofReal_log hx).symm, -Complex.ofReal_mul, -RCLike.ofReal_mul, (Complex.ofReal_mul _ _).symm, Complex.exp_ofReal_re, Complex.ofReal_eq_zero] #align real.rpow_def_of_nonneg Real.rpow_def_of_nonneg theorem rpow_def_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : x ^ y = exp (log x * y) := by rw [rpow_def_of_nonneg (le_of_lt hx), if_neg (ne_of_gt hx)] #align real.rpow_def_of_pos Real.rpow_def_of_pos theorem exp_mul (x y : ℝ) : exp (x * y) = exp x ^ y := by rw [rpow_def_of_pos (exp_pos _), log_exp] #align real.exp_mul Real.exp_mul @[simp, norm_cast] theorem rpow_intCast (x : ℝ) (n : ℤ) : x ^ (n : ℝ) = x ^ n := by simp only [rpow_def, ← Complex.ofReal_zpow, Complex.cpow_intCast, Complex.ofReal_intCast, Complex.ofReal_re] #align real.rpow_int_cast Real.rpow_intCast @[deprecated (since := "2024-04-17")] alias rpow_int_cast := rpow_intCast @[simp, norm_cast] theorem rpow_natCast (x : ℝ) (n : ℕ) : x ^ (n : ℝ) = x ^ n := by simpa using rpow_intCast x n #align real.rpow_nat_cast Real.rpow_natCast @[deprecated (since := "2024-04-17")] alias rpow_nat_cast := rpow_natCast @[simp] theorem exp_one_rpow (x : ℝ) : exp 1 ^ x = exp x := by rw [← exp_mul, one_mul] #align real.exp_one_rpow Real.exp_one_rpow @[simp] lemma exp_one_pow (n : ℕ) : exp 1 ^ n = exp n := by rw [← rpow_natCast, exp_one_rpow] theorem rpow_eq_zero_iff_of_nonneg (hx : 0 ≤ x) : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by simp only [rpow_def_of_nonneg hx] split_ifs <;> simp [*, exp_ne_zero] #align real.rpow_eq_zero_iff_of_nonneg Real.rpow_eq_zero_iff_of_nonneg @[simp] lemma rpow_eq_zero (hx : 0 ≤ x) (hy : y ≠ 0) : x ^ y = 0 ↔ x = 0 := by simp [rpow_eq_zero_iff_of_nonneg, *] @[simp] lemma rpow_ne_zero (hx : 0 ≤ x) (hy : y ≠ 0) : x ^ y ≠ 0 ↔ x ≠ 0 := Real.rpow_eq_zero hx hy |>.not open Real theorem rpow_def_of_neg {x : ℝ} (hx : x < 0) (y : ℝ) : x ^ y = exp (log x * y) * cos (y * π) := by rw [rpow_def, Complex.cpow_def, if_neg] · have : Complex.log x * y = ↑(log (-x) * y) + ↑(y * π) * Complex.I := by simp only [Complex.log, abs_of_neg hx, Complex.arg_ofReal_of_neg hx, Complex.abs_ofReal, Complex.ofReal_mul] ring rw [this, Complex.exp_add_mul_I, ← Complex.ofReal_exp, ← Complex.ofReal_cos, ← Complex.ofReal_sin, mul_add, ← Complex.ofReal_mul, ← mul_assoc, ← Complex.ofReal_mul, Complex.add_re, Complex.ofReal_re, Complex.mul_re, Complex.I_re, Complex.ofReal_im, Real.log_neg_eq_log] ring · rw [Complex.ofReal_eq_zero] exact ne_of_lt hx #align real.rpow_def_of_neg Real.rpow_def_of_neg theorem rpow_def_of_nonpos {x : ℝ} (hx : x ≤ 0) (y : ℝ) : x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) * cos (y * π) := by split_ifs with h <;> simp [rpow_def, *]; exact rpow_def_of_neg (lt_of_le_of_ne hx h) _ #align real.rpow_def_of_nonpos Real.rpow_def_of_nonpos theorem rpow_pos_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : 0 < x ^ y := by rw [rpow_def_of_pos hx]; apply exp_pos #align real.rpow_pos_of_pos Real.rpow_pos_of_pos @[simp]
Mathlib/Analysis/SpecialFunctions/Pow/Real.lean
125
125
theorem rpow_zero (x : ℝ) : x ^ (0 : ℝ) = 1 := by
simp [rpow_def]
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
import Mathlib.Algebra.GroupWithZero.Units.Lemmas import Mathlib.Data.Rat.Cast.Defs #align_import data.rat.cast from "leanprover-community/mathlib"@"acebd8d49928f6ed8920e502a6c90674e75bd441" variable {F ι α β : Type*} namespace Rat open Rat section WithDivRing variable [DivisionRing α] @[simp, norm_cast] theorem cast_inj [CharZero α] : ∀ {m n : ℚ}, (m : α) = n ↔ m = n | ⟨n₁, d₁, d₁0, c₁⟩, ⟨n₂, d₂, d₂0, c₂⟩ => by refine ⟨fun h => ?_, congr_arg _⟩ have d₁a : (d₁ : α) ≠ 0 := Nat.cast_ne_zero.2 d₁0 have d₂a : (d₂ : α) ≠ 0 := Nat.cast_ne_zero.2 d₂0 rw [mk'_eq_divInt, mk'_eq_divInt] at h ⊢ rw [cast_divInt_of_ne_zero, cast_divInt_of_ne_zero] at h <;> simp [d₁0, d₂0] at h ⊢ rwa [eq_div_iff_mul_eq d₂a, division_def, mul_assoc, (d₁.cast_commute (d₂ : α)).inv_left₀.eq, ← mul_assoc, ← division_def, eq_comm, eq_div_iff_mul_eq d₁a, eq_comm, ← Int.cast_natCast d₁, ← Int.cast_mul, ← Int.cast_natCast d₂, ← Int.cast_mul, Int.cast_inj, ← mkRat_eq_iff d₁0 d₂0] at h #align rat.cast_inj Rat.cast_inj theorem cast_injective [CharZero α] : Function.Injective ((↑) : ℚ → α) | _, _ => cast_inj.1 #align rat.cast_injective Rat.cast_injective @[simp]
Mathlib/Data/Rat/Cast/CharZero.lean
46
46
theorem cast_eq_zero [CharZero α] {n : ℚ} : (n : α) = 0 ↔ n = 0 := by
rw [← cast_zero, cast_inj]
import Mathlib.Analysis.Calculus.FDeriv.Bilinear #align_import analysis.calculus.fderiv.mul from "leanprover-community/mathlib"@"d608fc5d4e69d4cc21885913fb573a88b0deb521" open scoped Classical open Filter Asymptotics ContinuousLinearMap Set Metric Topology NNReal 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} section ContinuousMultilinearApplyConst variable {ι : Type*} [Fintype ι] {M : ι → Type*} [∀ i, NormedAddCommGroup (M i)] [∀ i, NormedSpace 𝕜 (M i)] {H : Type*} [NormedAddCommGroup H] [NormedSpace 𝕜 H] {c : E → ContinuousMultilinearMap 𝕜 M H} {c' : E →L[𝕜] ContinuousMultilinearMap 𝕜 M H} @[fun_prop] theorem HasStrictFDerivAt.continuousMultilinear_apply_const (hc : HasStrictFDerivAt c c' x) (u : ∀ i, M i) : HasStrictFDerivAt (fun y ↦ (c y) u) (c'.flipMultilinear u) x := (ContinuousMultilinearMap.apply 𝕜 M H u).hasStrictFDerivAt.comp x hc @[fun_prop] theorem HasFDerivWithinAt.continuousMultilinear_apply_const (hc : HasFDerivWithinAt c c' s x) (u : ∀ i, M i) : HasFDerivWithinAt (fun y ↦ (c y) u) (c'.flipMultilinear u) s x := (ContinuousMultilinearMap.apply 𝕜 M H u).hasFDerivAt.comp_hasFDerivWithinAt x hc @[fun_prop] theorem HasFDerivAt.continuousMultilinear_apply_const (hc : HasFDerivAt c c' x) (u : ∀ i, M i) : HasFDerivAt (fun y ↦ (c y) u) (c'.flipMultilinear u) x := (ContinuousMultilinearMap.apply 𝕜 M H u).hasFDerivAt.comp x hc @[fun_prop] theorem DifferentiableWithinAt.continuousMultilinear_apply_const (hc : DifferentiableWithinAt 𝕜 c s x) (u : ∀ i, M i) : DifferentiableWithinAt 𝕜 (fun y ↦ (c y) u) s x := (hc.hasFDerivWithinAt.continuousMultilinear_apply_const u).differentiableWithinAt @[fun_prop] theorem DifferentiableAt.continuousMultilinear_apply_const (hc : DifferentiableAt 𝕜 c x) (u : ∀ i, M i) : DifferentiableAt 𝕜 (fun y ↦ (c y) u) x := (hc.hasFDerivAt.continuousMultilinear_apply_const u).differentiableAt @[fun_prop] theorem DifferentiableOn.continuousMultilinear_apply_const (hc : DifferentiableOn 𝕜 c s) (u : ∀ i, M i) : DifferentiableOn 𝕜 (fun y ↦ (c y) u) s := fun x hx ↦ (hc x hx).continuousMultilinear_apply_const u @[fun_prop] theorem Differentiable.continuousMultilinear_apply_const (hc : Differentiable 𝕜 c) (u : ∀ i, M i) : Differentiable 𝕜 fun y ↦ (c y) u := fun x ↦ (hc x).continuousMultilinear_apply_const u theorem fderivWithin_continuousMultilinear_apply_const (hxs : UniqueDiffWithinAt 𝕜 s x) (hc : DifferentiableWithinAt 𝕜 c s x) (u : ∀ i, M i) : fderivWithin 𝕜 (fun y ↦ (c y) u) s x = ((fderivWithin 𝕜 c s x).flipMultilinear u) := (hc.hasFDerivWithinAt.continuousMultilinear_apply_const u).fderivWithin hxs theorem fderiv_continuousMultilinear_apply_const (hc : DifferentiableAt 𝕜 c x) (u : ∀ i, M i) : (fderiv 𝕜 (fun y ↦ (c y) u) x) = (fderiv 𝕜 c x).flipMultilinear u := (hc.hasFDerivAt.continuousMultilinear_apply_const u).fderiv theorem fderivWithin_continuousMultilinear_apply_const_apply (hxs : UniqueDiffWithinAt 𝕜 s x) (hc : DifferentiableWithinAt 𝕜 c s x) (u : ∀ i, M i) (m : E) : (fderivWithin 𝕜 (fun y ↦ (c y) u) s x) m = (fderivWithin 𝕜 c s x) m u := by simp [fderivWithin_continuousMultilinear_apply_const hxs hc]
Mathlib/Analysis/Calculus/FDeriv/Mul.lean
230
233
theorem fderiv_continuousMultilinear_apply_const_apply (hc : DifferentiableAt 𝕜 c x) (u : ∀ i, M i) (m : E) : (fderiv 𝕜 (fun y ↦ (c y) u) x) m = (fderiv 𝕜 c x) m u := by
simp [fderiv_continuousMultilinear_apply_const hc]
import Mathlib.Topology.Category.TopCat.EpiMono import Mathlib.Topology.Category.TopCat.Limits.Basic import Mathlib.CategoryTheory.Limits.Shapes.Products import Mathlib.CategoryTheory.Limits.ConcreteCategory import Mathlib.Data.Set.Subsingleton import Mathlib.Tactic.CategoryTheory.Elementwise #align_import topology.category.Top.limits.products from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1" -- Porting note: every ML3 decl has an uppercase letter set_option linter.uppercaseLean3 false open TopologicalSpace open CategoryTheory open CategoryTheory.Limits universe v u w noncomputable section namespace TopCat variable {J : Type v} [SmallCategory J] abbrev piπ {ι : Type v} (α : ι → TopCat.{max v u}) (i : ι) : TopCat.of (∀ i, α i) ⟶ α i := ⟨fun f => f i, continuous_apply i⟩ #align Top.pi_π TopCat.piπ @[simps! pt π_app] def piFan {ι : Type v} (α : ι → TopCat.{max v u}) : Fan α := Fan.mk (TopCat.of (∀ i, α i)) (piπ.{v,u} α) #align Top.pi_fan TopCat.piFan def piFanIsLimit {ι : Type v} (α : ι → TopCat.{max v u}) : IsLimit (piFan α) where lift S := { toFun := fun s i => S.π.app ⟨i⟩ s continuous_toFun := continuous_pi (fun i => (S.π.app ⟨i⟩).2) } uniq := by intro S m h apply ContinuousMap.ext; intro x funext i set_option tactic.skipAssignedInstances false in dsimp rw [ContinuousMap.coe_mk, ← h ⟨i⟩] rfl fac s j := rfl #align Top.pi_fan_is_limit TopCat.piFanIsLimit def piIsoPi {ι : Type v} (α : ι → TopCat.{max v u}) : ∏ᶜ α ≅ TopCat.of (∀ i, α i) := (limit.isLimit _).conePointUniqueUpToIso (piFanIsLimit.{v, u} α) -- Specifying the universes in `piFanIsLimit` wasn't necessary when we had `TopCatMax`  #align Top.pi_iso_pi TopCat.piIsoPi @[reassoc (attr := simp)] theorem piIsoPi_inv_π {ι : Type v} (α : ι → TopCat.{max v u}) (i : ι) : (piIsoPi α).inv ≫ Pi.π α i = piπ α i := by simp [piIsoPi] #align Top.pi_iso_pi_inv_π TopCat.piIsoPi_inv_π theorem piIsoPi_inv_π_apply {ι : Type v} (α : ι → TopCat.{max v u}) (i : ι) (x : ∀ i, α i) : (Pi.π α i : _) ((piIsoPi α).inv x) = x i := ConcreteCategory.congr_hom (piIsoPi_inv_π α i) x #align Top.pi_iso_pi_inv_π_apply TopCat.piIsoPi_inv_π_apply -- Porting note: needing the type ascription on `∏ᶜ α : TopCat.{max v u}` is unfortunate.
Mathlib/Topology/Category/TopCat/Limits/Products.lean
82
86
theorem piIsoPi_hom_apply {ι : Type v} (α : ι → TopCat.{max v u}) (i : ι) (x : (∏ᶜ α : TopCat.{max v u})) : (piIsoPi α).hom x i = (Pi.π α i : _) x := by
have := piIsoPi_inv_π α i rw [Iso.inv_comp_eq] at this exact ConcreteCategory.congr_hom this x
import Mathlib.Algebra.Order.Module.OrderedSMul import Mathlib.Analysis.Convex.Star import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace #align_import analysis.convex.basic from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" variable {𝕜 E F β : Type*} open LinearMap Set open scoped Convex Pointwise section OrderedSemiring variable [OrderedSemiring 𝕜] section AddCommMonoid variable [AddCommMonoid E] [AddCommMonoid F] section SMul variable (𝕜) [SMul 𝕜 E] [SMul 𝕜 F] (s : Set E) {x : E} def Convex : Prop := ∀ ⦃x : E⦄, x ∈ s → StarConvex 𝕜 x s #align convex Convex variable {𝕜 s} theorem Convex.starConvex (hs : Convex 𝕜 s) (hx : x ∈ s) : StarConvex 𝕜 x s := hs hx #align convex.star_convex Convex.starConvex theorem convex_iff_segment_subset : Convex 𝕜 s ↔ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → [x -[𝕜] y] ⊆ s := forall₂_congr fun _ _ => starConvex_iff_segment_subset #align convex_iff_segment_subset convex_iff_segment_subset theorem Convex.segment_subset (h : Convex 𝕜 s) {x y : E} (hx : x ∈ s) (hy : y ∈ s) : [x -[𝕜] y] ⊆ s := convex_iff_segment_subset.1 h hx hy #align convex.segment_subset Convex.segment_subset theorem Convex.openSegment_subset (h : Convex 𝕜 s) {x y : E} (hx : x ∈ s) (hy : y ∈ s) : openSegment 𝕜 x y ⊆ s := (openSegment_subset_segment 𝕜 x y).trans (h.segment_subset hx hy) #align convex.open_segment_subset Convex.openSegment_subset theorem convex_iff_pointwise_add_subset : Convex 𝕜 s ↔ ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → a + b = 1 → a • s + b • s ⊆ s := Iff.intro (by rintro hA a b ha hb hab w ⟨au, ⟨u, hu, rfl⟩, bv, ⟨v, hv, rfl⟩, rfl⟩ exact hA hu hv ha hb hab) fun h x hx y hy a b ha hb hab => (h ha hb hab) (Set.add_mem_add ⟨_, hx, rfl⟩ ⟨_, hy, rfl⟩) #align convex_iff_pointwise_add_subset convex_iff_pointwise_add_subset alias ⟨Convex.set_combo_subset, _⟩ := convex_iff_pointwise_add_subset #align convex.set_combo_subset Convex.set_combo_subset theorem convex_empty : Convex 𝕜 (∅ : Set E) := fun _ => False.elim #align convex_empty convex_empty theorem convex_univ : Convex 𝕜 (Set.univ : Set E) := fun _ _ => starConvex_univ _ #align convex_univ convex_univ theorem Convex.inter {t : Set E} (hs : Convex 𝕜 s) (ht : Convex 𝕜 t) : Convex 𝕜 (s ∩ t) := fun _ hx => (hs hx.1).inter (ht hx.2) #align convex.inter Convex.inter theorem convex_sInter {S : Set (Set E)} (h : ∀ s ∈ S, Convex 𝕜 s) : Convex 𝕜 (⋂₀ S) := fun _ hx => starConvex_sInter fun _ hs => h _ hs <| hx _ hs #align convex_sInter convex_sInter theorem convex_iInter {ι : Sort*} {s : ι → Set E} (h : ∀ i, Convex 𝕜 (s i)) : Convex 𝕜 (⋂ i, s i) := sInter_range s ▸ convex_sInter <| forall_mem_range.2 h #align convex_Inter convex_iInter theorem convex_iInter₂ {ι : Sort*} {κ : ι → Sort*} {s : ∀ i, κ i → Set E} (h : ∀ i j, Convex 𝕜 (s i j)) : Convex 𝕜 (⋂ (i) (j), s i j) := convex_iInter fun i => convex_iInter <| h i #align convex_Inter₂ convex_iInter₂ theorem Convex.prod {s : Set E} {t : Set F} (hs : Convex 𝕜 s) (ht : Convex 𝕜 t) : Convex 𝕜 (s ×ˢ t) := fun _ hx => (hs hx.1).prod (ht hx.2) #align convex.prod Convex.prod theorem convex_pi {ι : Type*} {E : ι → Type*} [∀ i, AddCommMonoid (E i)] [∀ i, SMul 𝕜 (E i)] {s : Set ι} {t : ∀ i, Set (E i)} (ht : ∀ ⦃i⦄, i ∈ s → Convex 𝕜 (t i)) : Convex 𝕜 (s.pi t) := fun _ hx => starConvex_pi fun _ hi => ht hi <| hx _ hi #align convex_pi convex_pi
Mathlib/Analysis/Convex/Basic.lean
121
128
theorem Directed.convex_iUnion {ι : Sort*} {s : ι → Set E} (hdir : Directed (· ⊆ ·) s) (hc : ∀ ⦃i : ι⦄, Convex 𝕜 (s i)) : Convex 𝕜 (⋃ i, s i) := by
rintro x hx y hy a b ha hb hab rw [mem_iUnion] at hx hy ⊢ obtain ⟨i, hx⟩ := hx obtain ⟨j, hy⟩ := hy obtain ⟨k, hik, hjk⟩ := hdir i j exact ⟨k, hc (hik hx) (hjk hy) ha hb hab⟩
import Mathlib.Analysis.Fourier.AddCircle import Mathlib.Analysis.Fourier.FourierTransform import Mathlib.Analysis.PSeries import Mathlib.Analysis.Distribution.SchwartzSpace import Mathlib.MeasureTheory.Measure.Lebesgue.Integral #align_import analysis.fourier.poisson_summation from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open Function hiding comp_apply open Set hiding restrict_apply open Complex hiding abs_of_nonneg open Real open TopologicalSpace Filter MeasureTheory Asymptotics open scoped Real Filter FourierTransform open ContinuousMap
Mathlib/Analysis/Fourier/PoissonSummation.lean
56
103
theorem Real.fourierCoeff_tsum_comp_add {f : C(ℝ, ℂ)} (hf : ∀ K : Compacts ℝ, Summable fun n : ℤ => ‖(f.comp (ContinuousMap.addRight n)).restrict K‖) (m : ℤ) : fourierCoeff (Periodic.lift <| f.periodic_tsum_comp_add_zsmul 1) m = 𝓕 f m := by
-- NB: This proof can be shortened somewhat by telescoping together some of the steps in the calc -- block, but I think it's more legible this way. We start with preliminaries about the integrand. let e : C(ℝ, ℂ) := (fourier (-m)).comp ⟨((↑) : ℝ → UnitAddCircle), continuous_quotient_mk'⟩ have neK : ∀ (K : Compacts ℝ) (g : C(ℝ, ℂ)), ‖(e * g).restrict K‖ = ‖g.restrict K‖ := by have (x : ℝ) : ‖e x‖ = 1 := abs_coe_circle (AddCircle.toCircle (-m • x)) intro K g simp_rw [norm_eq_iSup_norm, restrict_apply, mul_apply, norm_mul, this, one_mul] have eadd : ∀ (n : ℤ), e.comp (ContinuousMap.addRight n) = e := by intro n; ext1 x have : Periodic e 1 := Periodic.comp (fun x => AddCircle.coe_add_period 1 x) (fourier (-m)) simpa only [mul_one] using this.int_mul n x -- Now the main argument. First unwind some definitions. calc fourierCoeff (Periodic.lift <| f.periodic_tsum_comp_add_zsmul 1) m = ∫ x in (0 : ℝ)..1, e x * (∑' n : ℤ, f.comp (ContinuousMap.addRight n)) x := by simp_rw [fourierCoeff_eq_intervalIntegral _ m 0, div_one, one_smul, zero_add, e, comp_apply, coe_mk, Periodic.lift_coe, zsmul_one, smul_eq_mul] -- Transform sum in C(ℝ, ℂ) evaluated at x into pointwise sum of values. _ = ∫ x in (0:ℝ)..1, ∑' n : ℤ, (e * f.comp (ContinuousMap.addRight n)) x := by simp_rw [coe_mul, Pi.mul_apply, ← ContinuousMap.tsum_apply (summable_of_locally_summable_norm hf), tsum_mul_left] -- Swap sum and integral. _ = ∑' n : ℤ, ∫ x in (0:ℝ)..1, (e * f.comp (ContinuousMap.addRight n)) x := by refine (intervalIntegral.tsum_intervalIntegral_eq_of_summable_norm ?_).symm convert hf ⟨uIcc 0 1, isCompact_uIcc⟩ using 1 exact funext fun n => neK _ _ _ = ∑' n : ℤ, ∫ x in (0:ℝ)..1, (e * f).comp (ContinuousMap.addRight n) x := by simp only [ContinuousMap.comp_apply, mul_comp] at eadd ⊢ simp_rw [eadd] -- Rearrange sum of interval integrals into an integral over `ℝ`. _ = ∫ x, e x * f x := by suffices Integrable (e * f) from this.hasSum_intervalIntegral_comp_add_int.tsum_eq apply integrable_of_summable_norm_Icc convert hf ⟨Icc 0 1, isCompact_Icc⟩ using 1 simp_rw [mul_comp] at eadd ⊢ simp_rw [eadd] exact funext fun n => neK ⟨Icc 0 1, isCompact_Icc⟩ _ -- Minor tidying to finish _ = 𝓕 f m := by rw [fourierIntegral_real_eq_integral_exp_smul] congr 1 with x : 1 rw [smul_eq_mul, comp_apply, coe_mk, coe_mk, ContinuousMap.toFun_eq_coe, fourier_coe_apply] congr 2 push_cast ring
import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation #align_import linear_algebra.clifford_algebra.star from "leanprover-community/mathlib"@"4d66277cfec381260ba05c68f9ae6ce2a118031d" variable {R : Type*} [CommRing R] variable {M : Type*} [AddCommGroup M] [Module R M] variable {Q : QuadraticForm R M} namespace CliffordAlgebra instance instStarRing : StarRing (CliffordAlgebra Q) where star x := reverse (involute x) star_involutive x := by simp only [reverse_involute_commute.eq, reverse_reverse, involute_involute] star_mul x y := by simp only [map_mul, reverse.map_mul] star_add x y := by simp only [map_add] theorem star_def (x : CliffordAlgebra Q) : star x = reverse (involute x) := rfl #align clifford_algebra.star_def CliffordAlgebra.star_def theorem star_def' (x : CliffordAlgebra Q) : star x = involute (reverse x) := reverse_involute _ #align clifford_algebra.star_def' CliffordAlgebra.star_def' @[simp] theorem star_ι (m : M) : star (ι Q m) = -ι Q m := by rw [star_def, involute_ι, map_neg, reverse_ι] #align clifford_algebra.star_ι CliffordAlgebra.star_ι @[simp]
Mathlib/LinearAlgebra/CliffordAlgebra/Star.lean
57
58
theorem star_smul (r : R) (x : CliffordAlgebra Q) : star (r • x) = r • star x := by
rw [star_def, star_def, map_smul, map_smul]
import Mathlib.Data.Countable.Basic import Mathlib.Data.Fin.VecNotation import Mathlib.Order.Disjointed import Mathlib.MeasureTheory.OuterMeasure.Defs #align_import measure_theory.measure.outer_measure from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55" noncomputable section open Set Function Filter open scoped Classical NNReal Topology ENNReal namespace MeasureTheory section OuterMeasureClass variable {α ι F : Type*} [FunLike F (Set α) ℝ≥0∞] [OuterMeasureClass F α] {μ : F} {s t : Set α} @[simp] theorem measure_empty : μ ∅ = 0 := OuterMeasureClass.measure_empty μ #align measure_theory.measure_empty MeasureTheory.measure_empty @[mono, gcongr] theorem measure_mono (h : s ⊆ t) : μ s ≤ μ t := OuterMeasureClass.measure_mono μ h #align measure_theory.measure_mono MeasureTheory.measure_mono theorem measure_mono_null (h : s ⊆ t) (ht : μ t = 0) : μ s = 0 := eq_bot_mono (measure_mono h) ht #align measure_theory.measure_mono_null MeasureTheory.measure_mono_null theorem measure_pos_of_superset (h : s ⊆ t) (hs : μ s ≠ 0) : 0 < μ t := hs.bot_lt.trans_le (measure_mono h) theorem measure_iUnion_le [Countable ι] (s : ι → Set α) : μ (⋃ i, s i) ≤ ∑' i, μ (s i) := by refine rel_iSup_tsum μ measure_empty (· ≤ ·) (fun t ↦ ?_) _ calc μ (⋃ i, t i) = μ (⋃ i, disjointed t i) := by rw [iUnion_disjointed] _ ≤ ∑' i, μ (disjointed t i) := OuterMeasureClass.measure_iUnion_nat_le _ _ (disjoint_disjointed _) _ ≤ ∑' i, μ (t i) := by gcongr; apply disjointed_subset #align measure_theory.measure_Union_le MeasureTheory.measure_iUnion_le theorem measure_biUnion_le {I : Set ι} (μ : F) (hI : I.Countable) (s : ι → Set α) : μ (⋃ i ∈ I, s i) ≤ ∑' i : I, μ (s i) := by have := hI.to_subtype rw [biUnion_eq_iUnion] apply measure_iUnion_le #align measure_theory.measure_bUnion_le MeasureTheory.measure_biUnion_le theorem measure_biUnion_finset_le (I : Finset ι) (s : ι → Set α) : μ (⋃ i ∈ I, s i) ≤ ∑ i ∈ I, μ (s i) := (measure_biUnion_le μ I.countable_toSet s).trans_eq <| I.tsum_subtype (μ <| s ·) #align measure_theory.measure_bUnion_finset_le MeasureTheory.measure_biUnion_finset_le
Mathlib/MeasureTheory/OuterMeasure/Basic.lean
84
86
theorem measure_iUnion_fintype_le [Fintype ι] (μ : F) (s : ι → Set α) : μ (⋃ i, s i) ≤ ∑ i, μ (s i) := by
simpa using measure_biUnion_finset_le Finset.univ s
import Mathlib.Topology.ExtendFrom import Mathlib.Topology.Order.DenselyOrdered #align_import topology.algebra.order.extend_from from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" set_option autoImplicit true open Filter Set TopologicalSpace open scoped Classical open Topology
Mathlib/Topology/Order/ExtendFrom.lean
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theorem continuousOn_Icc_extendFrom_Ioo [TopologicalSpace α] [LinearOrder α] [DenselyOrdered α] [OrderTopology α] [TopologicalSpace β] [RegularSpace β] {f : α → β} {a b : α} {la lb : β} (hab : a ≠ b) (hf : ContinuousOn f (Ioo a b)) (ha : Tendsto f (𝓝[>] a) (𝓝 la)) (hb : Tendsto f (𝓝[<] b) (𝓝 lb)) : ContinuousOn (extendFrom (Ioo a b) f) (Icc a b) := by
apply continuousOn_extendFrom · rw [closure_Ioo hab] · intro x x_in rcases eq_endpoints_or_mem_Ioo_of_mem_Icc x_in with (rfl | rfl | h) · exact ⟨la, ha.mono_left <| nhdsWithin_mono _ Ioo_subset_Ioi_self⟩ · exact ⟨lb, hb.mono_left <| nhdsWithin_mono _ Ioo_subset_Iio_self⟩ · exact ⟨f x, hf x h⟩
import Mathlib.Algebra.Order.Pointwise import Mathlib.Analysis.NormedSpace.SphereNormEquiv import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar open Set Function Metric MeasurableSpace intervalIntegral open scoped Pointwise ENNReal NNReal local notation "dim" => FiniteDimensional.finrank ℝ noncomputable section namespace MeasureTheory variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E] namespace Measure def toSphere (μ : Measure E) : Measure (sphere (0 : E) 1) := dim E • ((μ.comap (Subtype.val ∘ (homeomorphUnitSphereProd E).symm)).restrict (univ ×ˢ Iio ⟨1, mem_Ioi.2 one_pos⟩)).fst variable (μ : Measure E) theorem toSphere_apply_aux (s : Set (sphere (0 : E) 1)) (r : Ioi (0 : ℝ)) : μ ((↑) '' (homeomorphUnitSphereProd E ⁻¹' s ×ˢ Iio r)) = μ (Ioo (0 : ℝ) r • ((↑) '' s)) := by rw [← image2_smul, image2_image_right, ← Homeomorph.image_symm, image_image, ← image_subtype_val_Ioi_Iio, image2_image_left, image2_swap, ← image_prod] rfl theorem toSphere_apply' {s : Set (sphere (0 : E) 1)} (hs : MeasurableSet s) : μ.toSphere s = dim E * μ (Ioo (0 : ℝ) 1 • ((↑) '' s)) := by rw [toSphere, smul_apply, fst_apply hs, restrict_apply (measurable_fst hs), ((MeasurableEmbedding.subtype_coe (measurableSet_singleton _).compl).comp (Homeomorph.measurableEmbedding _)).comap_apply, image_comp, Homeomorph.image_symm, univ_prod, ← Set.prod_eq, nsmul_eq_mul, toSphere_apply_aux]
Mathlib/MeasureTheory/Constructions/HaarToSphere.lean
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theorem toSphere_apply_univ' : μ.toSphere univ = dim E * μ (ball 0 1 \ {0}) := by
rw [μ.toSphere_apply' .univ, image_univ, Subtype.range_coe, Ioo_smul_sphere_zero] <;> simp