Context stringlengths 57 6.04k | file_name stringlengths 21 79 | start int64 14 1.49k | end int64 18 1.5k | theorem stringlengths 25 1.55k | proof stringlengths 5 7.36k | num_lines int64 1 150 |
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import Mathlib.RingTheory.IntegrallyClosed
import Mathlib.RingTheory.Trace
import Mathlib.RingTheory.Norm
#align_import ring_theory.discriminant from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1"
universe u v w z
open scoped Matrix
open Matrix FiniteDimensional Fintype Polynomial Finset IntermediateField
namespace Algebra
variable (A : Type u) {B : Type v} (C : Type z) {ι : Type w} [DecidableEq ι]
variable [CommRing A] [CommRing B] [Algebra A B] [CommRing C] [Algebra A C]
section Discr
-- Porting note: using `[DecidableEq ι]` instead of `by classical...` did not work in
-- mathlib3.
noncomputable def discr (A : Type u) {B : Type v} [CommRing A] [CommRing B] [Algebra A B]
[Fintype ι] (b : ι → B) := (traceMatrix A b).det
#align algebra.discr Algebra.discr
theorem discr_def [Fintype ι] (b : ι → B) : discr A b = (traceMatrix A b).det := rfl
variable {A C} in
theorem discr_eq_discr_of_algEquiv [Fintype ι] (b : ι → B) (f : B ≃ₐ[A] C) :
Algebra.discr A b = Algebra.discr A (f ∘ b) := by
rw [discr_def]; congr; ext
simp_rw [traceMatrix_apply, traceForm_apply, Function.comp, ← map_mul f, trace_eq_of_algEquiv]
#align algebra.discr_def Algebra.discr_def
variable {ι' : Type*} [Fintype ι'] [Fintype ι] [DecidableEq ι']
section Field
variable (K : Type u) {L : Type v} (E : Type z) [Field K] [Field L] [Field E]
variable [Algebra K L] [Algebra K E]
variable [Module.Finite K L] [IsAlgClosed E]
theorem discr_not_zero_of_basis [IsSeparable K L] (b : Basis ι K L) :
discr K b ≠ 0 := by
rw [discr_def, traceMatrix_of_basis, ← LinearMap.BilinForm.nondegenerate_iff_det_ne_zero]
exact traceForm_nondegenerate _ _
#align algebra.discr_not_zero_of_basis Algebra.discr_not_zero_of_basis
theorem discr_isUnit_of_basis [IsSeparable K L] (b : Basis ι K L) : IsUnit (discr K b) :=
IsUnit.mk0 _ (discr_not_zero_of_basis _ _)
#align algebra.discr_is_unit_of_basis Algebra.discr_isUnit_of_basis
variable (b : ι → L) (pb : PowerBasis K L)
theorem discr_eq_det_embeddingsMatrixReindex_pow_two [IsSeparable K L] (e : ι ≃ (L →ₐ[K] E)) :
algebraMap K E (discr K b) = (embeddingsMatrixReindex K E b e).det ^ 2 := by
rw [discr_def, RingHom.map_det, RingHom.mapMatrix_apply,
traceMatrix_eq_embeddingsMatrixReindex_mul_trans, det_mul, det_transpose, pow_two]
#align algebra.discr_eq_det_embeddings_matrix_reindex_pow_two Algebra.discr_eq_det_embeddingsMatrixReindex_pow_two
theorem discr_powerBasis_eq_prod (e : Fin pb.dim ≃ (L →ₐ[K] E)) [IsSeparable K L] :
algebraMap K E (discr K pb.basis) =
∏ i : Fin pb.dim, ∏ j ∈ Ioi i, (e j pb.gen - e i pb.gen) ^ 2 := by
rw [discr_eq_det_embeddingsMatrixReindex_pow_two K E pb.basis e,
embeddingsMatrixReindex_eq_vandermonde, det_transpose, det_vandermonde, ← prod_pow]
congr; ext i
rw [← prod_pow]
#align algebra.discr_power_basis_eq_prod Algebra.discr_powerBasis_eq_prod
theorem discr_powerBasis_eq_prod' [IsSeparable K L] (e : Fin pb.dim ≃ (L →ₐ[K] E)) :
algebraMap K E (discr K pb.basis) =
∏ i : Fin pb.dim, ∏ j ∈ Ioi i, -((e j pb.gen - e i pb.gen) * (e i pb.gen - e j pb.gen)) := by
rw [discr_powerBasis_eq_prod _ _ _ e]
congr; ext i; congr; ext j
ring
#align algebra.discr_power_basis_eq_prod' Algebra.discr_powerBasis_eq_prod'
local notation "n" => finrank K L
| Mathlib/RingTheory/Discriminant.lean | 182 | 210 | theorem discr_powerBasis_eq_prod'' [IsSeparable K L] (e : Fin pb.dim ≃ (L →ₐ[K] E)) :
algebraMap K E (discr K pb.basis) =
(-1) ^ (n * (n - 1) / 2) *
∏ i : Fin pb.dim, ∏ j ∈ Ioi i, (e j pb.gen - e i pb.gen) * (e i pb.gen - e j pb.gen) := by |
rw [discr_powerBasis_eq_prod' _ _ _ e]
simp_rw [fun i j => neg_eq_neg_one_mul ((e j pb.gen - e i pb.gen) * (e i pb.gen - e j pb.gen)),
prod_mul_distrib]
congr
simp only [prod_pow_eq_pow_sum, prod_const]
congr
rw [← @Nat.cast_inj ℚ, Nat.cast_sum]
have : ∀ x : Fin pb.dim, ↑x + 1 ≤ pb.dim := by simp [Nat.succ_le_iff, Fin.is_lt]
simp_rw [Fin.card_Ioi, Nat.sub_sub, add_comm 1]
simp only [Nat.cast_sub, this, Finset.card_fin, nsmul_eq_mul, sum_const, sum_sub_distrib,
Nat.cast_add, Nat.cast_one, sum_add_distrib, mul_one]
rw [← Nat.cast_sum, ← @Finset.sum_range ℕ _ pb.dim fun i => i, sum_range_id]
have hn : n = pb.dim := by
rw [← AlgHom.card K L E, ← Fintype.card_fin pb.dim]
-- FIXME: Without the `Fintype` namespace, why does it complain about `Finset.card_congr` being
-- deprecated?
exact Fintype.card_congr e.symm
have h₂ : 2 ∣ pb.dim * (pb.dim - 1) := pb.dim.even_mul_pred_self.two_dvd
have hne : ((2 : ℕ) : ℚ) ≠ 0 := by simp
have hle : 1 ≤ pb.dim := by
rw [← hn, Nat.one_le_iff_ne_zero, ← zero_lt_iff, FiniteDimensional.finrank_pos_iff]
infer_instance
rw [hn, Nat.cast_div h₂ hne, Nat.cast_mul, Nat.cast_sub hle]
field_simp
ring
| 25 |
import Mathlib.AlgebraicGeometry.Morphisms.QuasiCompact
import Mathlib.Topology.QuasiSeparated
#align_import algebraic_geometry.morphisms.quasi_separated from "leanprover-community/mathlib"@"1a51edf13debfcbe223fa06b1cb353b9ed9751cc"
noncomputable section
open CategoryTheory CategoryTheory.Limits Opposite TopologicalSpace
universe u
open scoped AlgebraicGeometry
namespace AlgebraicGeometry
variable {X Y : Scheme.{u}} (f : X ⟶ Y)
@[mk_iff]
class QuasiSeparated (f : X ⟶ Y) : Prop where
diagonalQuasiCompact : QuasiCompact (pullback.diagonal f) := by infer_instance
#align algebraic_geometry.quasi_separated AlgebraicGeometry.QuasiSeparated
def QuasiSeparated.affineProperty : AffineTargetMorphismProperty := fun X _ _ _ =>
QuasiSeparatedSpace X.carrier
#align algebraic_geometry.quasi_separated.affine_property AlgebraicGeometry.QuasiSeparated.affineProperty
| Mathlib/AlgebraicGeometry/Morphisms/QuasiSeparated.lean | 57 | 83 | theorem quasiSeparatedSpace_iff_affine (X : Scheme) :
QuasiSeparatedSpace X.carrier ↔ ∀ U V : X.affineOpens, IsCompact (U ∩ V : Set X.carrier) := by |
rw [quasiSeparatedSpace_iff]
constructor
· intro H U V; exact H U V U.1.2 U.2.isCompact V.1.2 V.2.isCompact
· intro H
suffices
∀ (U : Opens X.carrier) (_ : IsCompact U.1) (V : Opens X.carrier) (_ : IsCompact V.1),
IsCompact (U ⊓ V).1
by intro U V hU hU' hV hV'; exact this ⟨U, hU⟩ hU' ⟨V, hV⟩ hV'
intro U hU V hV
-- Porting note: it complains "unable to find motive", but telling Lean that motive is
-- underscore is actually sufficient, weird
apply compact_open_induction_on (P := _) V hV
· simp
· intro S _ V hV
change IsCompact (U.1 ∩ (S.1 ∪ V.1))
rw [Set.inter_union_distrib_left]
apply hV.union
clear hV
apply compact_open_induction_on (P := _) U hU
· simp
· intro S _ W hW
change IsCompact ((S.1 ∪ W.1) ∩ V.1)
rw [Set.union_inter_distrib_right]
apply hW.union
apply H
| 25 |
import Mathlib.Data.Fintype.Basic
import Mathlib.ModelTheory.Substructures
#align_import model_theory.elementary_maps from "leanprover-community/mathlib"@"d11893b411025250c8e61ff2f12ccbd7ee35ab15"
open FirstOrder
namespace FirstOrder
namespace Language
open Structure
variable (L : Language) (M : Type*) (N : Type*) {P : Type*} {Q : Type*}
variable [L.Structure M] [L.Structure N] [L.Structure P] [L.Structure Q]
structure ElementaryEmbedding where
toFun : M → N
-- Porting note:
-- The autoparam here used to be `obviously`. We would like to replace it with `aesop`
-- but that isn't currently sufficient.
-- See https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/Aesop.20and.20cases
-- If that can be improved, we should change this to `by aesop` and remove the proofs below.
map_formula' :
∀ ⦃n⦄ (φ : L.Formula (Fin n)) (x : Fin n → M), φ.Realize (toFun ∘ x) ↔ φ.Realize x := by
intros; trivial
#align first_order.language.elementary_embedding FirstOrder.Language.ElementaryEmbedding
#align first_order.language.elementary_embedding.to_fun FirstOrder.Language.ElementaryEmbedding.toFun
#align first_order.language.elementary_embedding.map_formula' FirstOrder.Language.ElementaryEmbedding.map_formula'
@[inherit_doc FirstOrder.Language.ElementaryEmbedding]
scoped[FirstOrder] notation:25 A " ↪ₑ[" L "] " B => FirstOrder.Language.ElementaryEmbedding L A B
variable {L} {M} {N}
variable (L) (M)
abbrev elementaryDiagram : L[[M]].Theory :=
L[[M]].completeTheory M
#align first_order.language.elementary_diagram FirstOrder.Language.elementaryDiagram
@[simps]
def ElementaryEmbedding.ofModelsElementaryDiagram (N : Type*) [L.Structure N] [L[[M]].Structure N]
[(lhomWithConstants L M).IsExpansionOn N] [N ⊨ L.elementaryDiagram M] : M ↪ₑ[L] N :=
⟨((↑) : L[[M]].Constants → N) ∘ Sum.inr, fun n φ x => by
refine
_root_.trans ?_
((realize_iff_of_model_completeTheory M N
(((L.lhomWithConstants M).onBoundedFormula φ).subst
(Constants.term ∘ Sum.inr ∘ x)).alls).trans
?_)
· simp_rw [Sentence.Realize, BoundedFormula.realize_alls, BoundedFormula.realize_subst,
LHom.realize_onBoundedFormula, Formula.Realize, Unique.forall_iff, Function.comp,
Term.realize_constants]
· simp_rw [Sentence.Realize, BoundedFormula.realize_alls, BoundedFormula.realize_subst,
LHom.realize_onBoundedFormula, Formula.Realize, Unique.forall_iff]
rfl⟩
#align first_order.language.elementary_embedding.of_models_elementary_diagram FirstOrder.Language.ElementaryEmbedding.ofModelsElementaryDiagram
variable {L M}
namespace Embedding
| Mathlib/ModelTheory/ElementaryMaps.lean | 272 | 302 | theorem isElementary_of_exists (f : M ↪[L] N)
(htv :
∀ (n : ℕ) (φ : L.BoundedFormula Empty (n + 1)) (x : Fin n → M) (a : N),
φ.Realize default (Fin.snoc (f ∘ x) a : _ → N) →
∃ b : M, φ.Realize default (Fin.snoc (f ∘ x) (f b) : _ → N)) :
∀ {n} (φ : L.Formula (Fin n)) (x : Fin n → M), φ.Realize (f ∘ x) ↔ φ.Realize x := by |
suffices h : ∀ (n : ℕ) (φ : L.BoundedFormula Empty n) (xs : Fin n → M),
φ.Realize (f ∘ default) (f ∘ xs) ↔ φ.Realize default xs by
intro n φ x
exact φ.realize_relabel_sum_inr.symm.trans (_root_.trans (h n _ _) φ.realize_relabel_sum_inr)
refine fun n φ => φ.recOn ?_ ?_ ?_ ?_ ?_
· exact fun {_} _ => Iff.rfl
· intros
simp [BoundedFormula.Realize, ← Sum.comp_elim, Embedding.realize_term]
· intros
simp only [BoundedFormula.Realize, ← Sum.comp_elim, realize_term]
erw [map_rel f]
· intro _ _ _ ih1 ih2 _
simp [ih1, ih2]
· intro n φ ih xs
simp only [BoundedFormula.realize_all]
refine ⟨fun h a => ?_, ?_⟩
· rw [← ih, Fin.comp_snoc]
exact h (f a)
· contrapose!
rintro ⟨a, ha⟩
obtain ⟨b, hb⟩ := htv n φ.not xs a (by
rw [BoundedFormula.realize_not, ← Unique.eq_default (f ∘ default)]
exact ha)
refine ⟨b, fun h => hb (Eq.mp ?_ ((ih _).2 h))⟩
rw [Unique.eq_default (f ∘ default), Fin.comp_snoc]
| 25 |
import Mathlib.Algebra.ContinuedFractions.ContinuantsRecurrence
import Mathlib.Algebra.ContinuedFractions.TerminatedStable
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.Ring
#align_import algebra.continued_fractions.convergents_equiv from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad"
variable {K : Type*} {n : ℕ}
namespace GeneralizedContinuedFraction
variable {g : GeneralizedContinuedFraction K} {s : Stream'.Seq <| Pair K}
section Squash
section WithDivisionRing
variable [DivisionRing K]
def squashSeq (s : Stream'.Seq <| Pair K) (n : ℕ) : Stream'.Seq (Pair K) :=
match Prod.mk (s.get? n) (s.get? (n + 1)) with
| ⟨some gp_n, some gp_succ_n⟩ =>
Stream'.Seq.nats.zipWith
-- return the squashed value at position `n`; otherwise, do nothing.
(fun n' gp => if n' = n then ⟨gp_n.a, gp_n.b + gp_succ_n.a / gp_succ_n.b⟩ else gp) s
| _ => s
#align generalized_continued_fraction.squash_seq GeneralizedContinuedFraction.squashSeq
theorem squashSeq_eq_self_of_terminated (terminated_at_succ_n : s.TerminatedAt (n + 1)) :
squashSeq s n = s := by
change s.get? (n + 1) = none at terminated_at_succ_n
cases s_nth_eq : s.get? n <;> simp only [*, squashSeq]
#align generalized_continued_fraction.squash_seq_eq_self_of_terminated GeneralizedContinuedFraction.squashSeq_eq_self_of_terminated
theorem squashSeq_nth_of_not_terminated {gp_n gp_succ_n : Pair K} (s_nth_eq : s.get? n = some gp_n)
(s_succ_nth_eq : s.get? (n + 1) = some gp_succ_n) :
(squashSeq s n).get? n = some ⟨gp_n.a, gp_n.b + gp_succ_n.a / gp_succ_n.b⟩ := by
simp [*, squashSeq]
#align generalized_continued_fraction.squash_seq_nth_of_not_terminated GeneralizedContinuedFraction.squashSeq_nth_of_not_terminated
theorem squashSeq_nth_of_lt {m : ℕ} (m_lt_n : m < n) : (squashSeq s n).get? m = s.get? m := by
cases s_succ_nth_eq : s.get? (n + 1) with
| none => rw [squashSeq_eq_self_of_terminated s_succ_nth_eq]
| some =>
obtain ⟨gp_n, s_nth_eq⟩ : ∃ gp_n, s.get? n = some gp_n :=
s.ge_stable n.le_succ s_succ_nth_eq
obtain ⟨gp_m, s_mth_eq⟩ : ∃ gp_m, s.get? m = some gp_m :=
s.ge_stable (le_of_lt m_lt_n) s_nth_eq
simp [*, squashSeq, m_lt_n.ne]
#align generalized_continued_fraction.squash_seq_nth_of_lt GeneralizedContinuedFraction.squashSeq_nth_of_lt
theorem squashSeq_succ_n_tail_eq_squashSeq_tail_n :
(squashSeq s (n + 1)).tail = squashSeq s.tail n := by
cases s_succ_succ_nth_eq : s.get? (n + 2) with
| none =>
cases s_succ_nth_eq : s.get? (n + 1) <;>
simp only [squashSeq, Stream'.Seq.get?_tail, s_succ_nth_eq, s_succ_succ_nth_eq]
| some gp_succ_succ_n =>
obtain ⟨gp_succ_n, s_succ_nth_eq⟩ : ∃ gp_succ_n, s.get? (n + 1) = some gp_succ_n :=
s.ge_stable (n + 1).le_succ s_succ_succ_nth_eq
-- apply extensionality with `m` and continue by cases `m = n`.
ext1 m
cases' Decidable.em (m = n) with m_eq_n m_ne_n
· simp [*, squashSeq]
· cases s_succ_mth_eq : s.get? (m + 1)
· simp only [*, squashSeq, Stream'.Seq.get?_tail, Stream'.Seq.get?_zipWith,
Option.map₂_none_right]
· simp [*, squashSeq]
#align generalized_continued_fraction.squash_seq_succ_n_tail_eq_squash_seq_tail_n GeneralizedContinuedFraction.squashSeq_succ_n_tail_eq_squashSeq_tail_n
| Mathlib/Algebra/ContinuedFractions/ConvergentsEquiv.lean | 155 | 181 | theorem succ_succ_nth_convergent'_aux_eq_succ_nth_convergent'_aux_squashSeq :
convergents'Aux s (n + 2) = convergents'Aux (squashSeq s n) (n + 1) := by |
cases s_succ_nth_eq : s.get? <| n + 1 with
| none =>
rw [squashSeq_eq_self_of_terminated s_succ_nth_eq,
convergents'Aux_stable_step_of_terminated s_succ_nth_eq]
| some gp_succ_n =>
induction n generalizing s gp_succ_n with
| zero =>
obtain ⟨gp_head, s_head_eq⟩ : ∃ gp_head, s.head = some gp_head :=
s.ge_stable zero_le_one s_succ_nth_eq
have : (squashSeq s 0).head = some ⟨gp_head.a, gp_head.b + gp_succ_n.a / gp_succ_n.b⟩ :=
squashSeq_nth_of_not_terminated s_head_eq s_succ_nth_eq
simp_all [convergents'Aux, Stream'.Seq.head, Stream'.Seq.get?_tail]
| succ m IH =>
obtain ⟨gp_head, s_head_eq⟩ : ∃ gp_head, s.head = some gp_head :=
s.ge_stable (m + 2).zero_le s_succ_nth_eq
suffices
gp_head.a / (gp_head.b + convergents'Aux s.tail (m + 2)) =
convergents'Aux (squashSeq s (m + 1)) (m + 2)
by simpa only [convergents'Aux, s_head_eq]
have : convergents'Aux s.tail (m + 2) = convergents'Aux (squashSeq s.tail m) (m + 1) := by
refine IH gp_succ_n ?_
simpa [Stream'.Seq.get?_tail] using s_succ_nth_eq
have : (squashSeq s (m + 1)).head = some gp_head :=
(squashSeq_nth_of_lt m.succ_pos).trans s_head_eq
simp_all [convergents'Aux, squashSeq_succ_n_tail_eq_squashSeq_tail_n]
| 25 |
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]
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)
#align cont_diff_bump.normed_convolution_eq_right ContDiffBump.normed_convolution_eq_right
variable [μ.IsAddLeftInvariant]
theorem dist_normed_convolution_le {x₀ : G} {ε : ℝ} (hmg : AEStronglyMeasurable g μ)
(hg : ∀ x ∈ ball x₀ φ.rOut, dist (g x) (g x₀) ≤ ε) :
dist ((φ.normed μ ⋆[lsmul ℝ ℝ, μ] g : G → E') x₀) (g x₀) ≤ ε :=
dist_convolution_le (by simp_rw [← dist_self (g x₀), hg x₀ (mem_ball_self φ.rOut_pos)])
φ.support_normed_eq.subset φ.nonneg_normed φ.integral_normed hmg hg
#align cont_diff_bump.dist_normed_convolution_le ContDiffBump.dist_normed_convolution_le
nonrec theorem convolution_tendsto_right {ι} {φ : ι → ContDiffBump (0 : G)} {g : ι → G → E'}
{k : ι → G} {x₀ : G} {z₀ : E'} {l : Filter ι} (hφ : Tendsto (fun i => (φ i).rOut) l (𝓝 0))
(hig : ∀ᶠ i in l, AEStronglyMeasurable (g i) μ) (hcg : Tendsto (uncurry g) (l ×ˢ 𝓝 x₀) (𝓝 z₀))
(hk : Tendsto k l (𝓝 x₀)) :
Tendsto (fun i => ((φ i).normed μ ⋆[lsmul ℝ ℝ, μ] g i) (k i)) l (𝓝 z₀) :=
convolution_tendsto_right (eventually_of_forall fun i => (φ i).nonneg_normed)
(eventually_of_forall fun i => (φ i).integral_normed) (tendsto_support_normed_smallSets hφ) hig
hcg hk
#align cont_diff_bump.convolution_tendsto_right ContDiffBump.convolution_tendsto_right
theorem convolution_tendsto_right_of_continuous {ι} {φ : ι → ContDiffBump (0 : G)} {l : Filter ι}
(hφ : Tendsto (fun i => (φ i).rOut) l (𝓝 0)) (hg : Continuous g) (x₀ : G) :
Tendsto (fun i => ((φ i).normed μ ⋆[lsmul ℝ ℝ, μ] g) x₀) l (𝓝 (g x₀)) :=
convolution_tendsto_right hφ (eventually_of_forall fun _ => hg.aestronglyMeasurable)
((hg.tendsto x₀).comp tendsto_snd) tendsto_const_nhds
#align cont_diff_bump.convolution_tendsto_right_of_continuous ContDiffBump.convolution_tendsto_right_of_continuous
| Mathlib/Analysis/Calculus/BumpFunction/Convolution.lean | 110 | 139 | theorem ae_convolution_tendsto_right_of_locallyIntegrable
{ι} {φ : ι → ContDiffBump (0 : G)} {l : Filter ι} {K : ℝ}
(hφ : Tendsto (fun i ↦ (φ i).rOut) l (𝓝 0))
(h'φ : ∀ᶠ i in l, (φ i).rOut ≤ K * (φ i).rIn) (hg : LocallyIntegrable g μ) : ∀ᵐ x₀ ∂μ,
Tendsto (fun i ↦ ((φ i).normed μ ⋆[lsmul ℝ ℝ, μ] g) x₀) l (𝓝 (g x₀)) := by |
have : IsAddHaarMeasure μ := ⟨⟩
-- By Lebesgue differentiation theorem, the average of `g` on a small ball converges
-- almost everywhere to the value of `g` as the radius shrinks to zero.
-- We will see that this set of points satisfies the desired conclusion.
filter_upwards [(Besicovitch.vitaliFamily μ).ae_tendsto_average_norm_sub hg] with x₀ h₀
simp only [convolution_eq_swap, lsmul_apply]
have hφ' : Tendsto (fun i ↦ (φ i).rOut) l (𝓝[>] 0) :=
tendsto_nhdsWithin_iff.2 ⟨hφ, eventually_of_forall (fun i ↦ (φ i).rOut_pos)⟩
have := (h₀.comp (Besicovitch.tendsto_filterAt μ x₀)).comp hφ'
simp only [Function.comp] at this
apply tendsto_integral_smul_of_tendsto_average_norm_sub (K ^ (FiniteDimensional.finrank ℝ G)) this
· filter_upwards with i using
hg.integrableOn_isCompact (isCompact_closedBall _ _)
· apply tendsto_const_nhds.congr (fun i ↦ ?_)
rw [← integral_neg_eq_self]
simp only [sub_neg_eq_add, integral_add_left_eq_self, integral_normed]
· filter_upwards with i
change support ((ContDiffBump.normed (φ i) μ) ∘ (fun y ↦ x₀ - y)) ⊆ closedBall x₀ (φ i).rOut
simp only [support_comp_eq_preimage, support_normed_eq]
intro x hx
simp only [mem_preimage, mem_ball, dist_zero_right] at hx
simpa [dist_eq_norm_sub'] using hx.le
· filter_upwards [h'φ] with i hi x
rw [abs_of_nonneg (nonneg_normed _ _), addHaar_closedBall_center]
exact (φ i).normed_le_div_measure_closedBall_rOut _ _ hi _
| 25 |
import Mathlib.Algebra.Algebra.Subalgebra.Basic
import Mathlib.RingTheory.Ideal.Maps
#align_import algebra.algebra.subalgebra.basic from "leanprover-community/mathlib"@"b915e9392ecb2a861e1e766f0e1df6ac481188ca"
namespace Subalgebra
open Algebra
variable {R S : Type*} [CommSemiring R] [CommRing S] [Algebra R S]
variable (S' : Subalgebra R S)
| Mathlib/Algebra/Algebra/Subalgebra/Operations.lean | 40 | 68 | theorem mem_of_finset_sum_eq_one_of_pow_smul_mem
{ι : Type*} (ι' : Finset ι) (s : ι → S) (l : ι → S)
(e : ∑ i ∈ ι', l i * s i = 1) (hs : ∀ i, s i ∈ S') (hl : ∀ i, l i ∈ S') (x : S)
(H : ∀ i, ∃ n : ℕ, (s i ^ n : S) • x ∈ S') : x ∈ S' := by |
-- Porting note: needed to add this instance
let _i : Algebra { x // x ∈ S' } { x // x ∈ S' } := Algebra.id _
suffices x ∈ Subalgebra.toSubmodule (Algebra.ofId S' S).range by
obtain ⟨x, rfl⟩ := this
exact x.2
choose n hn using H
let s' : ι → S' := fun x => ⟨s x, hs x⟩
let l' : ι → S' := fun x => ⟨l x, hl x⟩
have e' : ∑ i ∈ ι', l' i * s' i = 1 := by
ext
show S'.subtype (∑ i ∈ ι', l' i * s' i) = 1
simpa only [map_sum, map_mul] using e
have : Ideal.span (s' '' ι') = ⊤ := by
rw [Ideal.eq_top_iff_one, ← e']
apply sum_mem
intros i hi
exact Ideal.mul_mem_left _ _ <| Ideal.subset_span <| Set.mem_image_of_mem s' hi
let N := ι'.sup n
have hN := Ideal.span_pow_eq_top _ this N
apply (Algebra.ofId S' S).range.toSubmodule.mem_of_span_top_of_smul_mem _ hN
rintro ⟨_, _, ⟨i, hi, rfl⟩, rfl⟩
change s' i ^ N • x ∈ _
rw [← tsub_add_cancel_of_le (show n i ≤ N from Finset.le_sup hi), pow_add, mul_smul]
refine Submodule.smul_mem _ (⟨_, pow_mem (hs i) _⟩ : S') ?_
exact ⟨⟨_, hn i⟩, rfl⟩
| 25 |
import Mathlib.MeasureTheory.Measure.Typeclasses
#align_import measure_theory.measure.sub from "leanprover-community/mathlib"@"562bbf524c595c153470e53d36c57b6f891cc480"
open Set
namespace MeasureTheory
namespace Measure
noncomputable instance instSub {α : Type*} [MeasurableSpace α] : Sub (Measure α) :=
⟨fun μ ν => sInf { τ | μ ≤ τ + ν }⟩
#align measure_theory.measure.has_sub MeasureTheory.Measure.instSub
variable {α : Type*} {m : MeasurableSpace α} {μ ν : Measure α} {s : Set α}
theorem sub_def : μ - ν = sInf { d | μ ≤ d + ν } := rfl
#align measure_theory.measure.sub_def MeasureTheory.Measure.sub_def
theorem sub_le_of_le_add {d} (h : μ ≤ d + ν) : μ - ν ≤ d :=
sInf_le h
#align measure_theory.measure.sub_le_of_le_add MeasureTheory.Measure.sub_le_of_le_add
theorem sub_eq_zero_of_le (h : μ ≤ ν) : μ - ν = 0 :=
nonpos_iff_eq_zero'.1 <| sub_le_of_le_add <| by rwa [zero_add]
#align measure_theory.measure.sub_eq_zero_of_le MeasureTheory.Measure.sub_eq_zero_of_le
theorem sub_le : μ - ν ≤ μ :=
sub_le_of_le_add <| Measure.le_add_right le_rfl
#align measure_theory.measure.sub_le MeasureTheory.Measure.sub_le
@[simp]
theorem sub_top : μ - ⊤ = 0 :=
sub_eq_zero_of_le le_top
#align measure_theory.measure.sub_top MeasureTheory.Measure.sub_top
@[simp]
theorem zero_sub : 0 - μ = 0 :=
sub_eq_zero_of_le μ.zero_le
#align measure_theory.measure.zero_sub MeasureTheory.Measure.zero_sub
@[simp]
theorem sub_self : μ - μ = 0 :=
sub_eq_zero_of_le le_rfl
#align measure_theory.measure.sub_self MeasureTheory.Measure.sub_self
| Mathlib/MeasureTheory/Measure/Sub.lean | 71 | 97 | theorem sub_apply [IsFiniteMeasure ν] (h₁ : MeasurableSet s) (h₂ : ν ≤ μ) :
(μ - ν) s = μ s - ν s := by |
-- We begin by defining `measure_sub`, which will be equal to `(μ - ν)`.
let measure_sub : Measure α := MeasureTheory.Measure.ofMeasurable
(fun (t : Set α) (_ : MeasurableSet t) => μ t - ν t) (by simp)
(fun g h_meas h_disj ↦ by
simp only [measure_iUnion h_disj h_meas]
rw [ENNReal.tsum_sub _ (h₂ <| g ·)]
rw [← measure_iUnion h_disj h_meas]
apply measure_ne_top)
-- Now, we demonstrate `μ - ν = measure_sub`, and apply it.
have h_measure_sub_add : ν + measure_sub = μ := by
ext1 t h_t_measurable_set
simp only [Pi.add_apply, coe_add]
rw [MeasureTheory.Measure.ofMeasurable_apply _ h_t_measurable_set, add_comm,
tsub_add_cancel_of_le (h₂ t)]
have h_measure_sub_eq : μ - ν = measure_sub := by
rw [MeasureTheory.Measure.sub_def]
apply le_antisymm
· apply sInf_le
simp [le_refl, add_comm, h_measure_sub_add]
apply le_sInf
intro d h_d
rw [← h_measure_sub_add, mem_setOf_eq, add_comm d] at h_d
apply Measure.le_of_add_le_add_left h_d
rw [h_measure_sub_eq]
apply Measure.ofMeasurable_apply _ h₁
| 25 |
import Mathlib.Combinatorics.SimpleGraph.Connectivity
import Mathlib.Tactic.Linarith
#align_import combinatorics.simple_graph.acyclic from "leanprover-community/mathlib"@"b07688016d62f81d14508ff339ea3415558d6353"
universe u v
namespace SimpleGraph
open Walk
variable {V : Type u} (G : SimpleGraph V)
def IsAcyclic : Prop := ∀ ⦃v : V⦄ (c : G.Walk v v), ¬c.IsCycle
#align simple_graph.is_acyclic SimpleGraph.IsAcyclic
@[mk_iff]
structure IsTree : Prop where
protected isConnected : G.Connected
protected IsAcyclic : G.IsAcyclic
#align simple_graph.is_tree SimpleGraph.IsTree
variable {G}
@[simp] lemma isAcyclic_bot : IsAcyclic (⊥ : SimpleGraph V) := fun _a _w hw ↦ hw.ne_bot rfl
theorem isAcyclic_iff_forall_adj_isBridge :
G.IsAcyclic ↔ ∀ ⦃v w : V⦄, G.Adj v w → G.IsBridge s(v, w) := by
simp_rw [isBridge_iff_adj_and_forall_cycle_not_mem]
constructor
· intro ha v w hvw
apply And.intro hvw
intro u p hp
cases ha p hp
· rintro hb v (_ | ⟨ha, p⟩) hp
· exact hp.not_of_nil
· apply (hb ha).2 _ hp
rw [Walk.edges_cons]
apply List.mem_cons_self
#align simple_graph.is_acyclic_iff_forall_adj_is_bridge SimpleGraph.isAcyclic_iff_forall_adj_isBridge
theorem isAcyclic_iff_forall_edge_isBridge :
G.IsAcyclic ↔ ∀ ⦃e⦄, e ∈ (G.edgeSet) → G.IsBridge e := by
simp [isAcyclic_iff_forall_adj_isBridge, Sym2.forall]
#align simple_graph.is_acyclic_iff_forall_edge_is_bridge SimpleGraph.isAcyclic_iff_forall_edge_isBridge
| Mathlib/Combinatorics/SimpleGraph/Acyclic.lean | 88 | 115 | theorem IsAcyclic.path_unique {G : SimpleGraph V} (h : G.IsAcyclic) {v w : V} (p q : G.Path v w) :
p = q := by |
obtain ⟨p, hp⟩ := p
obtain ⟨q, hq⟩ := q
rw [Subtype.mk.injEq]
induction p with
| nil =>
cases (Walk.isPath_iff_eq_nil _).mp hq
rfl
| cons ph p ih =>
rw [isAcyclic_iff_forall_adj_isBridge] at h
specialize h ph
rw [isBridge_iff_adj_and_forall_walk_mem_edges] at h
replace h := h.2 (q.append p.reverse)
simp only [Walk.edges_append, Walk.edges_reverse, List.mem_append, List.mem_reverse] at h
cases' h with h h
· cases q with
| nil => simp [Walk.isPath_def] at hp
| cons _ q =>
rw [Walk.cons_isPath_iff] at hp hq
simp only [Walk.edges_cons, List.mem_cons, Sym2.eq_iff, true_and] at h
rcases h with (⟨h, rfl⟩ | ⟨rfl, rfl⟩) | h
· cases ih hp.1 q hq.1
rfl
· simp at hq
· exact absurd (Walk.fst_mem_support_of_mem_edges _ h) hq.2
· rw [Walk.cons_isPath_iff] at hp
exact absurd (Walk.fst_mem_support_of_mem_edges _ h) hp.2
| 26 |
import Mathlib.Analysis.Calculus.Deriv.AffineMap
import Mathlib.Analysis.Calculus.Deriv.Slope
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Comp
import Mathlib.Analysis.Calculus.LocalExtr.Rolle
import Mathlib.Analysis.Convex.Normed
import Mathlib.Analysis.RCLike.Basic
#align_import analysis.calculus.mean_value from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F]
[NormedSpace ℝ F]
open Metric Set Asymptotics ContinuousLinearMap Filter
open scoped Classical Topology NNReal
| Mathlib/Analysis/Calculus/MeanValue.lean | 92 | 124 | theorem image_le_of_liminf_slope_right_lt_deriv_boundary' {f f' : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b))
-- `hf'` actually says `liminf (f z - f x) / (z - x) ≤ f' x`
(hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r)
{B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := by |
change Icc a b ⊆ { x | f x ≤ B x }
set s := { x | f x ≤ B x } ∩ Icc a b
have A : ContinuousOn (fun x => (f x, B x)) (Icc a b) := hf.prod hB
have : IsClosed s := by
simp only [s, inter_comm]
exact A.preimage_isClosed_of_isClosed isClosed_Icc OrderClosedTopology.isClosed_le'
apply this.Icc_subset_of_forall_exists_gt ha
rintro x ⟨hxB : f x ≤ B x, xab⟩ y hy
cases' hxB.lt_or_eq with hxB hxB
· -- If `f x < B x`, then all we need is continuity of both sides
refine nonempty_of_mem (inter_mem ?_ (Ioc_mem_nhdsWithin_Ioi ⟨le_rfl, hy⟩))
have : ∀ᶠ x in 𝓝[Icc a b] x, f x < B x :=
A x (Ico_subset_Icc_self xab) (IsOpen.mem_nhds (isOpen_lt continuous_fst continuous_snd) hxB)
have : ∀ᶠ x in 𝓝[>] x, f x < B x := nhdsWithin_le_of_mem (Icc_mem_nhdsWithin_Ioi xab) this
exact this.mono fun y => le_of_lt
· rcases exists_between (bound x xab hxB) with ⟨r, hfr, hrB⟩
specialize hf' x xab r hfr
have HB : ∀ᶠ z in 𝓝[>] x, r < slope B x z :=
(hasDerivWithinAt_iff_tendsto_slope' <| lt_irrefl x).1 (hB' x xab).Ioi_of_Ici
(Ioi_mem_nhds hrB)
obtain ⟨z, hfz, hzB, hz⟩ : ∃ z, slope f x z < r ∧ r < slope B x z ∧ z ∈ Ioc x y :=
(hf'.and_eventually (HB.and (Ioc_mem_nhdsWithin_Ioi ⟨le_rfl, hy⟩))).exists
refine ⟨z, ?_, hz⟩
have := (hfz.trans hzB).le
rwa [slope_def_field, slope_def_field, div_le_div_right (sub_pos.2 hz.1), hxB,
sub_le_sub_iff_right] at this
| 26 |
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.Data.Nat.ModEq
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Zify
#align_import number_theory.frobenius_number from "leanprover-community/mathlib"@"1126441d6bccf98c81214a0780c73d499f6721fe"
open Nat
def FrobeniusNumber (n : ℕ) (s : Set ℕ) : Prop :=
IsGreatest { k | k ∉ AddSubmonoid.closure s } n
#align is_frobenius_number FrobeniusNumber
variable {m n : ℕ}
| Mathlib/NumberTheory/FrobeniusNumber.lean | 55 | 82 | theorem frobeniusNumber_pair (cop : Coprime m n) (hm : 1 < m) (hn : 1 < n) :
FrobeniusNumber (m * n - m - n) {m, n} := by |
simp_rw [FrobeniusNumber, AddSubmonoid.mem_closure_pair]
have hmn : m + n ≤ m * n := add_le_mul hm hn
constructor
· push_neg
intro a b h
apply cop.mul_add_mul_ne_mul (add_one_ne_zero a) (add_one_ne_zero b)
simp only [Nat.sub_sub, smul_eq_mul] at h
zify [hmn] at h ⊢
rw [← sub_eq_zero] at h ⊢
rw [← h]
ring
· intro k hk
dsimp at hk
contrapose! hk
let x := chineseRemainder cop 0 k
have hx : x.val < m * n := chineseRemainder_lt_mul cop 0 k (ne_bot_of_gt hm) (ne_bot_of_gt hn)
suffices key : x.1 ≤ k by
obtain ⟨a, ha⟩ := modEq_zero_iff_dvd.mp x.2.1
obtain ⟨b, hb⟩ := (modEq_iff_dvd' key).mp x.2.2
exact ⟨a, b, by rw [mul_comm, ← ha, mul_comm, ← hb, Nat.add_sub_of_le key]⟩
refine ModEq.le_of_lt_add x.2.2 (lt_of_le_of_lt ?_ (add_lt_add_right hk n))
rw [Nat.sub_add_cancel (le_tsub_of_add_le_left hmn)]
exact
ModEq.le_of_lt_add
(x.2.1.trans (modEq_zero_iff_dvd.mpr (Nat.dvd_sub' (dvd_mul_right m n) dvd_rfl)).symm)
(lt_of_lt_of_le hx le_tsub_add)
| 26 |
import Mathlib.Order.Ideal
import Mathlib.Data.Finset.Lattice
#align_import order.countable_dense_linear_order from "leanprover-community/mathlib"@"2705404e701abc6b3127da906f40bae062a169c9"
noncomputable section
open scoped Classical
namespace Order
theorem exists_between_finsets {α : Type*} [LinearOrder α] [DenselyOrdered α] [NoMinOrder α]
[NoMaxOrder α] [nonem : Nonempty α] (lo hi : Finset α) (lo_lt_hi : ∀ x ∈ lo, ∀ y ∈ hi, x < y) :
∃ m : α, (∀ x ∈ lo, x < m) ∧ ∀ y ∈ hi, m < y :=
if nlo : lo.Nonempty then
if nhi : hi.Nonempty then
-- both sets are nonempty, use `DenselyOrdered`
Exists.elim
(exists_between (lo_lt_hi _ (Finset.max'_mem _ nlo) _ (Finset.min'_mem _ nhi))) fun m hm ↦
⟨m, fun x hx ↦ lt_of_le_of_lt (Finset.le_max' lo x hx) hm.1, fun y hy ↦
lt_of_lt_of_le hm.2 (Finset.min'_le hi y hy)⟩
else-- upper set is empty, use `NoMaxOrder`
Exists.elim
(exists_gt (Finset.max' lo nlo)) fun m hm ↦
⟨m, fun x hx ↦ lt_of_le_of_lt (Finset.le_max' lo x hx) hm, fun y hy ↦ (nhi ⟨y, hy⟩).elim⟩
else
if nhi : hi.Nonempty then
-- lower set is empty, use `NoMinOrder`
Exists.elim
(exists_lt (Finset.min' hi nhi)) fun m hm ↦
⟨m, fun x hx ↦ (nlo ⟨x, hx⟩).elim, fun y hy ↦ lt_of_lt_of_le hm (Finset.min'_le hi y hy)⟩
else -- both sets are empty, use `Nonempty`
nonem.elim
fun m ↦ ⟨m, fun x hx ↦ (nlo ⟨x, hx⟩).elim, fun y hy ↦ (nhi ⟨y, hy⟩).elim⟩
#align order.exists_between_finsets Order.exists_between_finsets
variable (α β : Type*) [LinearOrder α] [LinearOrder β]
-- Porting note: Mathport warning: expanding binder collection (p q «expr ∈ » f)
def PartialIso : Type _ :=
{ f : Finset (α × β) //
∀ p ∈ f, ∀ q ∈ f,
cmp (Prod.fst p) (Prod.fst q) = cmp (Prod.snd p) (Prod.snd q) }
#align order.partial_iso Order.PartialIso
namespace PartialIso
instance : Inhabited (PartialIso α β) := ⟨⟨∅, fun _p h _q ↦ (Finset.not_mem_empty _ h).elim⟩⟩
instance : Preorder (PartialIso α β) := Subtype.preorder _
variable {α β}
| Mathlib/Order/CountableDenseLinearOrder.lean | 94 | 122 | theorem exists_across [DenselyOrdered β] [NoMinOrder β] [NoMaxOrder β] [Nonempty β]
(f : PartialIso α β) (a : α) :
∃ b : β, ∀ p ∈ f.val, cmp (Prod.fst p) a = cmp (Prod.snd p) b := by |
by_cases h : ∃ b, (a, b) ∈ f.val
· cases' h with b hb
exact ⟨b, fun p hp ↦ f.prop _ hp _ hb⟩
have :
∀ x ∈ (f.val.filter fun p : α × β ↦ p.fst < a).image Prod.snd,
∀ y ∈ (f.val.filter fun p : α × β ↦ a < p.fst).image Prod.snd, x < y := by
intro x hx y hy
rw [Finset.mem_image] at hx hy
rcases hx with ⟨p, hp1, rfl⟩
rcases hy with ⟨q, hq1, rfl⟩
rw [Finset.mem_filter] at hp1 hq1
rw [← lt_iff_lt_of_cmp_eq_cmp (f.prop _ hp1.1 _ hq1.1)]
exact lt_trans hp1.right hq1.right
cases' exists_between_finsets _ _ this with b hb
use b
rintro ⟨p1, p2⟩ hp
have : p1 ≠ a := fun he ↦ h ⟨p2, he ▸ hp⟩
cases' lt_or_gt_of_ne this with hl hr
· have : p1 < a ∧ p2 < b :=
⟨hl, hb.1 _ (Finset.mem_image.mpr ⟨(p1, p2), Finset.mem_filter.mpr ⟨hp, hl⟩, rfl⟩)⟩
rw [← cmp_eq_lt_iff, ← cmp_eq_lt_iff] at this
exact this.1.trans this.2.symm
· have : a < p1 ∧ b < p2 :=
⟨hr, hb.2 _ (Finset.mem_image.mpr ⟨(p1, p2), Finset.mem_filter.mpr ⟨hp, hr⟩, rfl⟩)⟩
rw [← cmp_eq_gt_iff, ← cmp_eq_gt_iff] at this
exact this.1.trans this.2.symm
| 26 |
import Mathlib.Data.Real.Cardinality
import Mathlib.Topology.Separation
import Mathlib.Topology.TietzeExtension
open Set Function Cardinal Topology TopologicalSpace
universe u
variable {X : Type u} [TopologicalSpace X] [SeparableSpace X]
| Mathlib/Topology/Separation/NotNormal.lean | 26 | 53 | theorem IsClosed.mk_lt_continuum [NormalSpace X] {s : Set X} (hs : IsClosed s)
[DiscreteTopology s] : #s < 𝔠 := by |
-- Proof by contradiction: assume `𝔠 ≤ #s`
by_contra! h
-- Choose a countable dense set `t : Set X`
rcases exists_countable_dense X with ⟨t, htc, htd⟩
haveI := htc.to_subtype
-- To obtain a contradiction, we will prove `2 ^ 𝔠 ≤ 𝔠`.
refine (Cardinal.cantor 𝔠).not_le ?_
calc
-- Any function `s → ℝ` is continuous, hence `2 ^ 𝔠 ≤ #C(s, ℝ)`
2 ^ 𝔠 ≤ #C(s, ℝ) := by
rw [(ContinuousMap.equivFnOfDiscrete _ _).cardinal_eq, mk_arrow, mk_real, lift_continuum,
lift_uzero]
exact (power_le_power_left two_ne_zero h).trans (power_le_power_right (nat_lt_continuum 2).le)
-- By the Tietze Extension Theorem, any function `f : C(s, ℝ)` can be extended to `C(X, ℝ)`,
-- hence `#C(s, ℝ) ≤ #C(X, ℝ)`
_ ≤ #C(X, ℝ) := by
choose f hf using ContinuousMap.exists_restrict_eq (Y := ℝ) hs
have hfi : Injective f := LeftInverse.injective hf
exact mk_le_of_injective hfi
-- Since `t` is dense, restriction `C(X, ℝ) → C(t, ℝ)` is injective, hence `#C(X, ℝ) ≤ #C(t, ℝ)`
_ ≤ #C(t, ℝ) := mk_le_of_injective <| ContinuousMap.injective_restrict htd
_ ≤ #(t → ℝ) := mk_le_of_injective DFunLike.coe_injective
-- Since `t` is countable, we have `#(t → ℝ) ≤ 𝔠`
_ ≤ 𝔠 := by
rw [mk_arrow, mk_real, lift_uzero, lift_continuum, continuum, ← power_mul]
exact power_le_power_left two_ne_zero mk_le_aleph0
| 26 |
import Mathlib.AlgebraicTopology.DoldKan.PInfty
#align_import algebraic_topology.dold_kan.decomposition from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504"
open CategoryTheory CategoryTheory.Category CategoryTheory.Preadditive
Opposite Simplicial
noncomputable section
namespace AlgebraicTopology
namespace DoldKan
variable {C : Type*} [Category C] [Preadditive C] {X X' : SimplicialObject C}
| Mathlib/AlgebraicTopology/DoldKan/Decomposition.lean | 52 | 81 | theorem decomposition_Q (n q : ℕ) :
((Q q).f (n + 1) : X _[n + 1] ⟶ X _[n + 1]) =
∑ i ∈ Finset.filter (fun i : Fin (n + 1) => (i : ℕ) < q) Finset.univ,
(P i).f (n + 1) ≫ X.δ i.rev.succ ≫ X.σ (Fin.rev i) := by |
induction' q with q hq
· simp only [Nat.zero_eq, Q_zero, HomologicalComplex.zero_f_apply, Nat.not_lt_zero,
Finset.filter_False, Finset.sum_empty]
· by_cases hqn : q + 1 ≤ n + 1
swap
· rw [Q_is_eventually_constant (show n + 1 ≤ q by omega), hq]
congr 1
ext ⟨x, hx⟩
simp only [Nat.succ_eq_add_one, Finset.mem_filter, Finset.mem_univ, true_and]
omega
· cases' Nat.le.dest (Nat.succ_le_succ_iff.mp hqn) with a ha
rw [Q_succ, HomologicalComplex.sub_f_apply, HomologicalComplex.comp_f, hq]
symm
conv_rhs => rw [sub_eq_add_neg, add_comm]
let q' : Fin (n + 1) := ⟨q, Nat.succ_le_iff.mp hqn⟩
rw [← @Finset.add_sum_erase _ _ _ _ _ _ q' (by simp)]
congr
· have hnaq' : n = a + q := by omega
simp only [Fin.val_mk, (HigherFacesVanish.of_P q n).comp_Hσ_eq hnaq',
q'.rev_eq hnaq', neg_neg]
rfl
· ext ⟨i, hi⟩
simp only [q', Nat.succ_eq_add_one, Nat.lt_succ_iff_lt_or_eq, Finset.mem_univ,
forall_true_left, Finset.mem_filter, lt_self_iff_false, or_true, and_self, not_true,
Finset.mem_erase, ne_eq, Fin.mk.injEq, true_and]
aesop
| 26 |
import Mathlib.MeasureTheory.Integral.IntegralEqImproper
#align_import measure_theory.integral.peak_function from "leanprover-community/mathlib"@"13b0d72fd8533ba459ac66e9a885e35ffabb32b2"
open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace Metric
open scoped Topology ENNReal
open Set
variable {α E ι : Type*} {hm : MeasurableSpace α} {μ : Measure α} [TopologicalSpace α]
[BorelSpace α] [NormedAddCommGroup E] [NormedSpace ℝ E] {g : α → E} {l : Filter ι} {x₀ : α}
{s t : Set α} {φ : ι → α → ℝ} {a : E}
| Mathlib/MeasureTheory/Integral/PeakFunction.lean | 54 | 86 | theorem integrableOn_peak_smul_of_integrableOn_of_tendsto
(hs : MeasurableSet s) (h'st : t ∈ 𝓝[s] x₀)
(hlφ : ∀ u : Set α, IsOpen u → x₀ ∈ u → TendstoUniformlyOn φ 0 l (s \ u))
(hiφ : Tendsto (fun i ↦ ∫ x in t, φ i x ∂μ) l (𝓝 1))
(h'iφ : ∀ᶠ i in l, AEStronglyMeasurable (φ i) (μ.restrict s))
(hmg : IntegrableOn g s μ) (hcg : Tendsto g (𝓝[s] x₀) (𝓝 a)) :
∀ᶠ i in l, IntegrableOn (fun x => φ i x • g x) s μ := by |
obtain ⟨u, u_open, x₀u, ut, hu⟩ :
∃ u, IsOpen u ∧ x₀ ∈ u ∧ s ∩ u ⊆ t ∧ ∀ x ∈ u ∩ s, g x ∈ ball a 1 := by
rcases mem_nhdsWithin.1 (Filter.inter_mem h'st (hcg (ball_mem_nhds _ zero_lt_one)))
with ⟨u, u_open, x₀u, hu⟩
refine ⟨u, u_open, x₀u, ?_, hu.trans inter_subset_right⟩
rw [inter_comm]
exact hu.trans inter_subset_left
rw [tendsto_iff_norm_sub_tendsto_zero] at hiφ
filter_upwards [tendstoUniformlyOn_iff.1 (hlφ u u_open x₀u) 1 zero_lt_one,
(tendsto_order.1 hiφ).2 1 zero_lt_one, h'iφ] with i hi h'i h''i
have I : IntegrableOn (φ i) t μ := .of_integral_ne_zero (fun h ↦ by simp [h] at h'i)
have A : IntegrableOn (fun x => φ i x • g x) (s \ u) μ := by
refine Integrable.smul_of_top_right (hmg.mono diff_subset le_rfl) ?_
apply memℒp_top_of_bound (h''i.mono_set diff_subset) 1
filter_upwards [self_mem_ae_restrict (hs.diff u_open.measurableSet)] with x hx
simpa only [Pi.zero_apply, dist_zero_left] using (hi x hx).le
have B : IntegrableOn (fun x => φ i x • g x) (s ∩ u) μ := by
apply Integrable.smul_of_top_left
· exact IntegrableOn.mono_set I ut
· apply
memℒp_top_of_bound (hmg.mono_set inter_subset_left).aestronglyMeasurable (‖a‖ + 1)
filter_upwards [self_mem_ae_restrict (hs.inter u_open.measurableSet)] with x hx
rw [inter_comm] at hx
exact (norm_lt_of_mem_ball (hu x hx)).le
convert A.union B
simp only [diff_union_inter]
| 26 |
import Mathlib.Algebra.Group.Subgroup.Basic
import Mathlib.Algebra.Order.Archimedean
import Mathlib.Data.Set.Lattice
#align_import group_theory.archimedean from "leanprover-community/mathlib"@"f93c11933efbc3c2f0299e47b8ff83e9b539cbf6"
open Set
variable {G : Type*} [LinearOrderedAddCommGroup G] [Archimedean G]
theorem AddSubgroup.cyclic_of_min {H : AddSubgroup G} {a : G}
(ha : IsLeast { g : G | g ∈ H ∧ 0 < g } a) : H = AddSubgroup.closure {a} := by
obtain ⟨⟨a_in, a_pos⟩, a_min⟩ := ha
refine le_antisymm ?_ (H.closure_le.mpr <| by simp [a_in])
intro g g_in
obtain ⟨k, ⟨nonneg, lt⟩, _⟩ := existsUnique_zsmul_near_of_pos' a_pos g
have h_zero : g - k • a = 0 := by
by_contra h
have h : a ≤ g - k • a := by
refine a_min ⟨?_, ?_⟩
· exact AddSubgroup.sub_mem H g_in (AddSubgroup.zsmul_mem H a_in k)
· exact lt_of_le_of_ne nonneg (Ne.symm h)
have h' : ¬a ≤ g - k • a := not_le.mpr lt
contradiction
simp [sub_eq_zero.mp h_zero, AddSubgroup.mem_closure_singleton]
#align add_subgroup.cyclic_of_min AddSubgroup.cyclic_of_min
| Mathlib/GroupTheory/Archimedean.lean | 60 | 87 | theorem AddSubgroup.exists_isLeast_pos {H : AddSubgroup G} (hbot : H ≠ ⊥) {a : G} (h₀ : 0 < a)
(hd : Disjoint (H : Set G) (Ioo 0 a)) : ∃ b, IsLeast { g : G | g ∈ H ∧ 0 < g } b := by |
-- todo: move to a lemma?
have hex : ∀ g > 0, ∃ n : ℕ, g ∈ Ioc (n • a) ((n + 1) • a) := fun g hg => by
rcases existsUnique_add_zsmul_mem_Ico h₀ 0 (g - a) with ⟨m, ⟨hm, hm'⟩, -⟩
simp only [zero_add, sub_le_iff_le_add, sub_add_cancel, ← add_one_zsmul] at hm hm'
lift m to ℕ
· rw [← Int.lt_add_one_iff, ← zsmul_lt_zsmul_iff h₀, zero_zsmul]
exact hg.trans_le hm
· simp only [← Nat.cast_succ, natCast_zsmul] at hm hm'
exact ⟨m, hm', hm⟩
have : ∃ n : ℕ, Set.Nonempty (H ∩ Ioc (n • a) ((n + 1) • a)) := by
rcases (bot_or_exists_ne_zero H).resolve_left hbot with ⟨g, hgH, hg₀⟩
rcases hex |g| (abs_pos.2 hg₀) with ⟨n, hn⟩
exact ⟨n, _, (@abs_mem_iff (AddSubgroup G) G _ _).2 hgH, hn⟩
classical rcases Nat.findX this with ⟨n, ⟨x, hxH, hnx, hxn⟩, hmin⟩
by_contra hxmin
simp only [IsLeast, not_and, mem_setOf_eq, mem_lowerBounds, not_exists, not_forall,
not_le] at hxmin
rcases hxmin x ⟨hxH, (nsmul_nonneg h₀.le _).trans_lt hnx⟩ with ⟨y, ⟨hyH, hy₀⟩, hxy⟩
rcases hex y hy₀ with ⟨m, hm⟩
cases' lt_or_le m n with hmn hnm
· exact hmin m hmn ⟨y, hyH, hm⟩
· refine disjoint_left.1 hd (sub_mem hxH hyH) ⟨sub_pos.2 hxy, sub_lt_iff_lt_add'.2 ?_⟩
calc x ≤ (n + 1) • a := hxn
_ ≤ (m + 1) • a := nsmul_le_nsmul_left h₀.le (add_le_add_right hnm _)
_ = m • a + a := succ_nsmul _ _
_ < y + a := add_lt_add_right hm.1 _
| 26 |
import Mathlib.Data.Nat.Choose.Central
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Data.Nat.Multiplicity
#align_import data.nat.choose.factorization from "leanprover-community/mathlib"@"dc9db541168768af03fe228703e758e649afdbfc"
namespace Nat
variable {p n k : ℕ}
theorem factorization_choose_le_log : (choose n k).factorization p ≤ log p n := by
by_cases h : (choose n k).factorization p = 0
· simp [h]
have hp : p.Prime := Not.imp_symm (choose n k).factorization_eq_zero_of_non_prime h
have hkn : k ≤ n := by
refine le_of_not_lt fun hnk => h ?_
simp [choose_eq_zero_of_lt hnk]
rw [factorization_def _ hp, @padicValNat_def _ ⟨hp⟩ _ (choose_pos hkn)]
simp only [hp.multiplicity_choose hkn (lt_add_one _), PartENat.get_natCast]
exact (Finset.card_filter_le _ _).trans (le_of_eq (Nat.card_Ico _ _))
#align nat.factorization_choose_le_log Nat.factorization_choose_le_log
theorem pow_factorization_choose_le (hn : 0 < n) : p ^ (choose n k).factorization p ≤ n :=
pow_le_of_le_log hn.ne' factorization_choose_le_log
#align nat.pow_factorization_choose_le Nat.pow_factorization_choose_le
theorem factorization_choose_le_one (p_large : n < p ^ 2) : (choose n k).factorization p ≤ 1 := by
apply factorization_choose_le_log.trans
rcases eq_or_ne n 0 with (rfl | hn0); · simp
exact Nat.lt_succ_iff.1 (log_lt_of_lt_pow hn0 p_large)
#align nat.factorization_choose_le_one Nat.factorization_choose_le_one
| Mathlib/Data/Nat/Choose/Factorization.lean | 61 | 88 | theorem factorization_choose_of_lt_three_mul (hp' : p ≠ 2) (hk : p ≤ k) (hk' : p ≤ n - k)
(hn : n < 3 * p) : (choose n k).factorization p = 0 := by |
cases' em' p.Prime with hp hp
· exact factorization_eq_zero_of_non_prime (choose n k) hp
cases' lt_or_le n k with hnk hkn
· simp [choose_eq_zero_of_lt hnk]
rw [factorization_def _ hp, @padicValNat_def _ ⟨hp⟩ _ (choose_pos hkn)]
simp only [hp.multiplicity_choose hkn (lt_add_one _), PartENat.get_natCast, Finset.card_eq_zero,
Finset.filter_eq_empty_iff, not_le]
intro i hi
rcases eq_or_lt_of_le (Finset.mem_Ico.mp hi).1 with (rfl | hi)
· rw [pow_one, ← add_lt_add_iff_left (2 * p), ← succ_mul, two_mul, add_add_add_comm]
exact
lt_of_le_of_lt
(add_le_add
(add_le_add_right (le_mul_of_one_le_right' ((one_le_div_iff hp.pos).mpr hk)) (k % p))
(add_le_add_right (le_mul_of_one_le_right' ((one_le_div_iff hp.pos).mpr hk'))
((n - k) % p)))
(by rwa [div_add_mod, div_add_mod, add_tsub_cancel_of_le hkn])
· replace hn : n < p ^ i := by
have : 3 ≤ p := lt_of_le_of_ne hp.two_le hp'.symm
calc
n < 3 * p := hn
_ ≤ p * p := mul_le_mul_right' this p
_ = p ^ 2 := (sq p).symm
_ ≤ p ^ i := pow_le_pow_right hp.one_lt.le hi
rwa [mod_eq_of_lt (lt_of_le_of_lt hkn hn), mod_eq_of_lt (lt_of_le_of_lt tsub_le_self hn),
add_tsub_cancel_of_le hkn]
| 26 |
import Mathlib.Probability.Kernel.MeasurableIntegral
#align_import probability.kernel.composition from "leanprover-community/mathlib"@"3b92d54a05ee592aa2c6181a4e76b1bb7cc45d0b"
open MeasureTheory
open scoped ENNReal
namespace ProbabilityTheory
namespace kernel
variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
section CompositionProduct
variable {γ : Type*} {mγ : MeasurableSpace γ} {s : Set (β × γ)}
noncomputable def compProdFun (κ : kernel α β) (η : kernel (α × β) γ) (a : α) (s : Set (β × γ)) :
ℝ≥0∞ :=
∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a
#align probability_theory.kernel.comp_prod_fun ProbabilityTheory.kernel.compProdFun
theorem compProdFun_empty (κ : kernel α β) (η : kernel (α × β) γ) (a : α) :
compProdFun κ η a ∅ = 0 := by
simp only [compProdFun, Set.mem_empty_iff_false, Set.setOf_false, measure_empty,
MeasureTheory.lintegral_const, zero_mul]
#align probability_theory.kernel.comp_prod_fun_empty ProbabilityTheory.kernel.compProdFun_empty
| Mathlib/Probability/Kernel/Composition.lean | 99 | 128 | theorem compProdFun_iUnion (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α)
(f : ℕ → Set (β × γ)) (hf_meas : ∀ i, MeasurableSet (f i))
(hf_disj : Pairwise (Disjoint on f)) :
compProdFun κ η a (⋃ i, f i) = ∑' i, compProdFun κ η a (f i) := by |
have h_Union :
(fun b => η (a, b) {c : γ | (b, c) ∈ ⋃ i, f i}) = fun b =>
η (a, b) (⋃ i, {c : γ | (b, c) ∈ f i}) := by
ext1 b
congr with c
simp only [Set.mem_iUnion, Set.iSup_eq_iUnion, Set.mem_setOf_eq]
rw [compProdFun, h_Union]
have h_tsum :
(fun b => η (a, b) (⋃ i, {c : γ | (b, c) ∈ f i})) = fun b =>
∑' i, η (a, b) {c : γ | (b, c) ∈ f i} := by
ext1 b
rw [measure_iUnion]
· intro i j hij s hsi hsj c hcs
have hbci : {(b, c)} ⊆ f i := by rw [Set.singleton_subset_iff]; exact hsi hcs
have hbcj : {(b, c)} ⊆ f j := by rw [Set.singleton_subset_iff]; exact hsj hcs
simpa only [Set.bot_eq_empty, Set.le_eq_subset, Set.singleton_subset_iff,
Set.mem_empty_iff_false] using hf_disj hij hbci hbcj
· -- Porting note: behavior of `@` changed relative to lean 3, was
-- exact fun i => (@measurable_prod_mk_left β γ _ _ b) _ (hf_meas i)
exact fun i => (@measurable_prod_mk_left β γ _ _ b) (hf_meas i)
rw [h_tsum, lintegral_tsum]
· rfl
· intro i
have hm : MeasurableSet {p : (α × β) × γ | (p.1.2, p.2) ∈ f i} :=
measurable_fst.snd.prod_mk measurable_snd (hf_meas i)
exact ((measurable_kernel_prod_mk_left hm).comp measurable_prod_mk_left).aemeasurable
| 26 |
import Mathlib.Probability.Martingale.Upcrossing
import Mathlib.MeasureTheory.Function.UniformIntegrable
import Mathlib.MeasureTheory.Constructions.Polish
#align_import probability.martingale.convergence from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open TopologicalSpace Filter MeasureTheory.Filtration
open scoped NNReal ENNReal MeasureTheory ProbabilityTheory Topology
namespace MeasureTheory
variable {Ω ι : Type*} {m0 : MeasurableSpace Ω} {μ : Measure Ω} {ℱ : Filtration ℕ m0}
variable {a b : ℝ} {f : ℕ → Ω → ℝ} {ω : Ω} {R : ℝ≥0}
section AeConvergence
theorem not_frequently_of_upcrossings_lt_top (hab : a < b) (hω : upcrossings a b f ω ≠ ∞) :
¬((∃ᶠ n in atTop, f n ω < a) ∧ ∃ᶠ n in atTop, b < f n ω) := by
rw [← lt_top_iff_ne_top, upcrossings_lt_top_iff] at hω
replace hω : ∃ k, ∀ N, upcrossingsBefore a b f N ω < k := by
obtain ⟨k, hk⟩ := hω
exact ⟨k + 1, fun N => lt_of_le_of_lt (hk N) k.lt_succ_self⟩
rintro ⟨h₁, h₂⟩
rw [frequently_atTop] at h₁ h₂
refine Classical.not_not.2 hω ?_
push_neg
intro k
induction' k with k ih
· simp only [Nat.zero_eq, zero_le, exists_const]
· obtain ⟨N, hN⟩ := ih
obtain ⟨N₁, hN₁, hN₁'⟩ := h₁ N
obtain ⟨N₂, hN₂, hN₂'⟩ := h₂ N₁
exact ⟨N₂ + 1, Nat.succ_le_of_lt <|
lt_of_le_of_lt hN (upcrossingsBefore_lt_of_exists_upcrossing hab hN₁ hN₁' hN₂ hN₂')⟩
#align measure_theory.not_frequently_of_upcrossings_lt_top MeasureTheory.not_frequently_of_upcrossings_lt_top
theorem upcrossings_eq_top_of_frequently_lt (hab : a < b) (h₁ : ∃ᶠ n in atTop, f n ω < a)
(h₂ : ∃ᶠ n in atTop, b < f n ω) : upcrossings a b f ω = ∞ :=
by_contradiction fun h => not_frequently_of_upcrossings_lt_top hab h ⟨h₁, h₂⟩
#align measure_theory.upcrossings_eq_top_of_frequently_lt MeasureTheory.upcrossings_eq_top_of_frequently_lt
theorem tendsto_of_uncrossing_lt_top (hf₁ : liminf (fun n => (‖f n ω‖₊ : ℝ≥0∞)) atTop < ∞)
(hf₂ : ∀ a b : ℚ, a < b → upcrossings a b f ω < ∞) :
∃ c, Tendsto (fun n => f n ω) atTop (𝓝 c) := by
by_cases h : IsBoundedUnder (· ≤ ·) atTop fun n => |f n ω|
· rw [isBoundedUnder_le_abs] at h
refine tendsto_of_no_upcrossings Rat.denseRange_cast ?_ h.1 h.2
intro a ha b hb hab
obtain ⟨⟨a, rfl⟩, ⟨b, rfl⟩⟩ := ha, hb
exact not_frequently_of_upcrossings_lt_top hab (hf₂ a b (Rat.cast_lt.1 hab)).ne
· obtain ⟨a, b, hab, h₁, h₂⟩ := ENNReal.exists_upcrossings_of_not_bounded_under hf₁.ne h
exact
False.elim ((hf₂ a b hab).ne (upcrossings_eq_top_of_frequently_lt (Rat.cast_lt.2 hab) h₁ h₂))
#align measure_theory.tendsto_of_uncrossing_lt_top MeasureTheory.tendsto_of_uncrossing_lt_top
| Mathlib/Probability/Martingale/Convergence.lean | 156 | 183 | theorem Submartingale.upcrossings_ae_lt_top' [IsFiniteMeasure μ] (hf : Submartingale f ℱ μ)
(hbdd : ∀ n, snorm (f n) 1 μ ≤ R) (hab : a < b) : ∀ᵐ ω ∂μ, upcrossings a b f ω < ∞ := by |
refine ae_lt_top (hf.adapted.measurable_upcrossings hab) ?_
have := hf.mul_lintegral_upcrossings_le_lintegral_pos_part a b
rw [mul_comm, ← ENNReal.le_div_iff_mul_le] at this
· refine (lt_of_le_of_lt this (ENNReal.div_lt_top ?_ ?_)).ne
· have hR' : ∀ n, ∫⁻ ω, ‖f n ω - a‖₊ ∂μ ≤ R + ‖a‖₊ * μ Set.univ := by
simp_rw [snorm_one_eq_lintegral_nnnorm] at hbdd
intro n
refine (lintegral_mono ?_ : ∫⁻ ω, ‖f n ω - a‖₊ ∂μ ≤ ∫⁻ ω, ‖f n ω‖₊ + ‖a‖₊ ∂μ).trans ?_
· intro ω
simp_rw [sub_eq_add_neg, ← nnnorm_neg a, ← ENNReal.coe_add, ENNReal.coe_le_coe]
exact nnnorm_add_le _ _
· simp_rw [lintegral_add_right _ measurable_const, lintegral_const]
exact add_le_add (hbdd _) le_rfl
refine ne_of_lt (iSup_lt_iff.2 ⟨R + ‖a‖₊ * μ Set.univ, ENNReal.add_lt_top.2
⟨ENNReal.coe_lt_top, ENNReal.mul_lt_top ENNReal.coe_lt_top.ne (measure_ne_top _ _)⟩,
fun n => le_trans ?_ (hR' n)⟩)
refine lintegral_mono fun ω => ?_
rw [ENNReal.ofReal_le_iff_le_toReal, ENNReal.coe_toReal, coe_nnnorm]
· by_cases hnonneg : 0 ≤ f n ω - a
· rw [posPart_eq_self.2 hnonneg, Real.norm_eq_abs, abs_of_nonneg hnonneg]
· rw [posPart_eq_zero.2 (not_le.1 hnonneg).le]
exact norm_nonneg _
· simp only [Ne, ENNReal.coe_ne_top, not_false_iff]
· simp only [hab, Ne, ENNReal.ofReal_eq_zero, sub_nonpos, not_le]
· simp only [hab, Ne, ENNReal.ofReal_eq_zero, sub_nonpos, not_le, true_or_iff]
· simp only [Ne, ENNReal.ofReal_ne_top, not_false_iff, true_or_iff]
| 26 |
import Mathlib.Analysis.NormedSpace.lpSpace
import Mathlib.Topology.Sets.Compacts
#align_import topology.metric_space.kuratowski from "leanprover-community/mathlib"@"95d4f6586d313c8c28e00f36621d2a6a66893aa6"
noncomputable section
set_option linter.uppercaseLean3 false
open Set Metric TopologicalSpace NNReal ENNReal lp Function
universe u v w
variable {α : Type u} {β : Type v} {γ : Type w}
namespace KuratowskiEmbedding
variable {f g : ℓ^∞(ℕ)} {n : ℕ} {C : ℝ} [MetricSpace α] (x : ℕ → α) (a b : α)
def embeddingOfSubset : ℓ^∞(ℕ) :=
⟨fun n => dist a (x n) - dist (x 0) (x n), by
apply memℓp_infty
use dist a (x 0)
rintro - ⟨n, rfl⟩
exact abs_dist_sub_le _ _ _⟩
#align Kuratowski_embedding.embedding_of_subset KuratowskiEmbedding.embeddingOfSubset
theorem embeddingOfSubset_coe : embeddingOfSubset x a n = dist a (x n) - dist (x 0) (x n) :=
rfl
#align Kuratowski_embedding.embedding_of_subset_coe KuratowskiEmbedding.embeddingOfSubset_coe
theorem embeddingOfSubset_dist_le (a b : α) :
dist (embeddingOfSubset x a) (embeddingOfSubset x b) ≤ dist a b := by
refine lp.norm_le_of_forall_le dist_nonneg fun n => ?_
simp only [lp.coeFn_sub, Pi.sub_apply, embeddingOfSubset_coe, Real.dist_eq]
convert abs_dist_sub_le a b (x n) using 2
ring
#align Kuratowski_embedding.embedding_of_subset_dist_le KuratowskiEmbedding.embeddingOfSubset_dist_le
| Mathlib/Topology/MetricSpace/Kuratowski.lean | 61 | 87 | theorem embeddingOfSubset_isometry (H : DenseRange x) : Isometry (embeddingOfSubset x) := by |
refine Isometry.of_dist_eq fun a b => ?_
refine (embeddingOfSubset_dist_le x a b).antisymm (le_of_forall_pos_le_add fun e epos => ?_)
-- First step: find n with dist a (x n) < e
rcases Metric.mem_closure_range_iff.1 (H a) (e / 2) (half_pos epos) with ⟨n, hn⟩
-- Second step: use the norm control at index n to conclude
have C : dist b (x n) - dist a (x n) = embeddingOfSubset x b n - embeddingOfSubset x a n := by
simp only [embeddingOfSubset_coe, sub_sub_sub_cancel_right]
have :=
calc
dist a b ≤ dist a (x n) + dist (x n) b := dist_triangle _ _ _
_ = 2 * dist a (x n) + (dist b (x n) - dist a (x n)) := by simp [dist_comm]; ring
_ ≤ 2 * dist a (x n) + |dist b (x n) - dist a (x n)| := by
apply_rules [add_le_add_left, le_abs_self]
_ ≤ 2 * (e / 2) + |embeddingOfSubset x b n - embeddingOfSubset x a n| := by
rw [C]
apply_rules [add_le_add, mul_le_mul_of_nonneg_left, hn.le, le_refl]
norm_num
_ ≤ 2 * (e / 2) + dist (embeddingOfSubset x b) (embeddingOfSubset x a) := by
have : |embeddingOfSubset x b n - embeddingOfSubset x a n| ≤
dist (embeddingOfSubset x b) (embeddingOfSubset x a) := by
simp only [dist_eq_norm]
exact lp.norm_apply_le_norm ENNReal.top_ne_zero
(embeddingOfSubset x b - embeddingOfSubset x a) n
nlinarith
_ = dist (embeddingOfSubset x b) (embeddingOfSubset x a) + e := by ring
simpa [dist_comm] using this
| 26 |
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.Analysis.InnerProductSpace.PiL2
#align_import measure_theory.measure.haar.of_basis from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
open Set TopologicalSpace MeasureTheory MeasureTheory.Measure FiniteDimensional
open scoped Pointwise
noncomputable section
variable {ι ι' E F : Type*}
section Fintype
variable [Fintype ι] [Fintype ι']
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E] [AddCommGroup F] [Module ℝ F]
def parallelepiped (v : ι → E) : Set E :=
(fun t : ι → ℝ => ∑ i, t i • v i) '' Icc 0 1
#align parallelepiped parallelepiped
theorem mem_parallelepiped_iff (v : ι → E) (x : E) :
x ∈ parallelepiped v ↔ ∃ t ∈ Icc (0 : ι → ℝ) 1, x = ∑ i, t i • v i := by
simp [parallelepiped, eq_comm]
#align mem_parallelepiped_iff mem_parallelepiped_iff
theorem parallelepiped_basis_eq (b : Basis ι ℝ E) :
parallelepiped b = {x | ∀ i, b.repr x i ∈ Set.Icc 0 1} := by
classical
ext x
simp_rw [mem_parallelepiped_iff, mem_setOf_eq, b.ext_elem_iff, _root_.map_sum,
_root_.map_smul, Finset.sum_apply', Basis.repr_self, Finsupp.smul_single, smul_eq_mul,
mul_one, Finsupp.single_apply, Finset.sum_ite_eq', Finset.mem_univ, ite_true, mem_Icc,
Pi.le_def, Pi.zero_apply, Pi.one_apply, ← forall_and]
aesop
theorem image_parallelepiped (f : E →ₗ[ℝ] F) (v : ι → E) :
f '' parallelepiped v = parallelepiped (f ∘ v) := by
simp only [parallelepiped, ← image_comp]
congr 1 with t
simp only [Function.comp_apply, _root_.map_sum, LinearMap.map_smulₛₗ, RingHom.id_apply]
#align image_parallelepiped image_parallelepiped
@[simp]
theorem parallelepiped_comp_equiv (v : ι → E) (e : ι' ≃ ι) :
parallelepiped (v ∘ e) = parallelepiped v := by
simp only [parallelepiped]
let K : (ι' → ℝ) ≃ (ι → ℝ) := Equiv.piCongrLeft' (fun _a : ι' => ℝ) e
have : Icc (0 : ι → ℝ) 1 = K '' Icc (0 : ι' → ℝ) 1 := by
rw [← Equiv.preimage_eq_iff_eq_image]
ext x
simp only [K, mem_preimage, mem_Icc, Pi.le_def, Pi.zero_apply, Equiv.piCongrLeft'_apply,
Pi.one_apply]
refine
⟨fun h => ⟨fun i => ?_, fun i => ?_⟩, fun h =>
⟨fun i => h.1 (e.symm i), fun i => h.2 (e.symm i)⟩⟩
· simpa only [Equiv.symm_apply_apply] using h.1 (e i)
· simpa only [Equiv.symm_apply_apply] using h.2 (e i)
rw [this, ← image_comp]
congr 1 with x
have := fun z : ι' → ℝ => e.symm.sum_comp fun i => z i • v (e i)
simp_rw [Equiv.apply_symm_apply] at this
simp_rw [Function.comp_apply, mem_image, mem_Icc, K, Equiv.piCongrLeft'_apply, this]
#align parallelepiped_comp_equiv parallelepiped_comp_equiv
-- The parallelepiped associated to an orthonormal basis of `ℝ` is either `[0, 1]` or `[-1, 0]`.
| Mathlib/MeasureTheory/Measure/Haar/OfBasis.lean | 98 | 125 | theorem parallelepiped_orthonormalBasis_one_dim (b : OrthonormalBasis ι ℝ ℝ) :
parallelepiped b = Icc 0 1 ∨ parallelepiped b = Icc (-1) 0 := by |
have e : ι ≃ Fin 1 := by
apply Fintype.equivFinOfCardEq
simp only [← finrank_eq_card_basis b.toBasis, finrank_self]
have B : parallelepiped (b.reindex e) = parallelepiped b := by
convert parallelepiped_comp_equiv b e.symm
ext i
simp only [OrthonormalBasis.coe_reindex]
rw [← B]
let F : ℝ → Fin 1 → ℝ := fun t => fun _i => t
have A : Icc (0 : Fin 1 → ℝ) 1 = F '' Icc (0 : ℝ) 1 := by
apply Subset.antisymm
· intro x hx
refine ⟨x 0, ⟨hx.1 0, hx.2 0⟩, ?_⟩
ext j
simp only [Subsingleton.elim j 0]
· rintro x ⟨y, hy, rfl⟩
exact ⟨fun _j => hy.1, fun _j => hy.2⟩
rcases orthonormalBasis_one_dim (b.reindex e) with (H | H)
· left
simp_rw [parallelepiped, H, A, Algebra.id.smul_eq_mul, mul_one]
simp only [Finset.univ_unique, Fin.default_eq_zero, smul_eq_mul, mul_one, Finset.sum_singleton,
← image_comp, Function.comp_apply, image_id', ge_iff_le, zero_le_one, not_true, gt_iff_lt]
· right
simp_rw [H, parallelepiped, Algebra.id.smul_eq_mul, A]
simp only [F, Finset.univ_unique, Fin.default_eq_zero, mul_neg, mul_one, Finset.sum_neg_distrib,
Finset.sum_singleton, ← image_comp, Function.comp, image_neg, preimage_neg_Icc, neg_zero]
| 26 |
import Mathlib.AlgebraicGeometry.PrimeSpectrum.Basic
import Mathlib.Topology.NoetherianSpace
#align_import algebraic_geometry.prime_spectrum.noetherian from "leanprover-community/mathlib"@"052f6013363326d50cb99c6939814a4b8eb7b301"
universe u v
namespace PrimeSpectrum
open Submodule
variable (R : Type u) [CommRing R] [IsNoetherianRing R]
variable {A : Type u} [CommRing A] [IsDomain A] [IsNoetherianRing A]
| Mathlib/AlgebraicGeometry/PrimeSpectrum/Noetherian.lean | 27 | 54 | theorem exists_primeSpectrum_prod_le (I : Ideal R) :
∃ Z : Multiset (PrimeSpectrum R), Multiset.prod (Z.map asIdeal) ≤ I := by |
-- Porting note: Need to specify `P` explicitly
refine IsNoetherian.induction
(P := fun I => ∃ Z : Multiset (PrimeSpectrum R), Multiset.prod (Z.map asIdeal) ≤ I)
(fun (M : Ideal R) hgt => ?_) I
by_cases h_prM : M.IsPrime
· use {⟨M, h_prM⟩}
rw [Multiset.map_singleton, Multiset.prod_singleton]
by_cases htop : M = ⊤
· rw [htop]
exact ⟨0, le_top⟩
have lt_add : ∀ z ∉ M, M < M + span R {z} := by
intro z hz
refine lt_of_le_of_ne le_sup_left fun m_eq => hz ?_
rw [m_eq]
exact Ideal.mem_sup_right (mem_span_singleton_self z)
obtain ⟨x, hx, y, hy, hxy⟩ := (Ideal.not_isPrime_iff.mp h_prM).resolve_left htop
obtain ⟨Wx, h_Wx⟩ := hgt (M + span R {x}) (lt_add _ hx)
obtain ⟨Wy, h_Wy⟩ := hgt (M + span R {y}) (lt_add _ hy)
use Wx + Wy
rw [Multiset.map_add, Multiset.prod_add]
apply le_trans (Submodule.mul_le_mul h_Wx h_Wy)
rw [add_mul]
apply sup_le (show M * (M + span R {y}) ≤ M from Ideal.mul_le_right)
rw [mul_add]
apply sup_le (show span R {x} * M ≤ M from Ideal.mul_le_left)
rwa [span_mul_span, Set.singleton_mul_singleton, span_singleton_le_iff_mem]
| 26 |
import Mathlib.RingTheory.PrincipalIdealDomain
import Mathlib.RingTheory.Ideal.LocalRing
import Mathlib.RingTheory.Valuation.PrimeMultiplicity
import Mathlib.RingTheory.AdicCompletion.Basic
#align_import ring_theory.discrete_valuation_ring.basic from "leanprover-community/mathlib"@"c163ec99dfc664628ca15d215fce0a5b9c265b68"
open scoped Classical
universe u
open Ideal LocalRing
class DiscreteValuationRing (R : Type u) [CommRing R] [IsDomain R]
extends IsPrincipalIdealRing R, LocalRing R : Prop where
not_a_field' : maximalIdeal R ≠ ⊥
#align discrete_valuation_ring DiscreteValuationRing
namespace DiscreteValuationRing
variable (R : Type u) [CommRing R] [IsDomain R] [DiscreteValuationRing R]
theorem not_a_field : maximalIdeal R ≠ ⊥ :=
not_a_field'
#align discrete_valuation_ring.not_a_field DiscreteValuationRing.not_a_field
theorem not_isField : ¬IsField R :=
LocalRing.isField_iff_maximalIdeal_eq.not.mpr (not_a_field R)
#align discrete_valuation_ring.not_is_field DiscreteValuationRing.not_isField
variable {R}
open PrincipalIdealRing
theorem irreducible_of_span_eq_maximalIdeal {R : Type*} [CommRing R] [LocalRing R] [IsDomain R]
(ϖ : R) (hϖ : ϖ ≠ 0) (h : maximalIdeal R = Ideal.span {ϖ}) : Irreducible ϖ := by
have h2 : ¬IsUnit ϖ := show ϖ ∈ maximalIdeal R from h.symm ▸ Submodule.mem_span_singleton_self ϖ
refine ⟨h2, ?_⟩
intro a b hab
by_contra! h
obtain ⟨ha : a ∈ maximalIdeal R, hb : b ∈ maximalIdeal R⟩ := h
rw [h, mem_span_singleton'] at ha hb
rcases ha with ⟨a, rfl⟩
rcases hb with ⟨b, rfl⟩
rw [show a * ϖ * (b * ϖ) = ϖ * (ϖ * (a * b)) by ring] at hab
apply hϖ
apply eq_zero_of_mul_eq_self_right _ hab.symm
exact fun hh => h2 (isUnit_of_dvd_one ⟨_, hh.symm⟩)
#align discrete_valuation_ring.irreducible_of_span_eq_maximal_ideal DiscreteValuationRing.irreducible_of_span_eq_maximalIdeal
theorem irreducible_iff_uniformizer (ϖ : R) : Irreducible ϖ ↔ maximalIdeal R = Ideal.span {ϖ} :=
⟨fun hϖ => (eq_maximalIdeal (isMaximal_of_irreducible hϖ)).symm,
fun h => irreducible_of_span_eq_maximalIdeal ϖ
(fun e => not_a_field R <| by rwa [h, span_singleton_eq_bot]) h⟩
#align discrete_valuation_ring.irreducible_iff_uniformizer DiscreteValuationRing.irreducible_iff_uniformizer
theorem _root_.Irreducible.maximalIdeal_eq {ϖ : R} (h : Irreducible ϖ) :
maximalIdeal R = Ideal.span {ϖ} :=
(irreducible_iff_uniformizer _).mp h
#align irreducible.maximal_ideal_eq Irreducible.maximalIdeal_eq
variable (R)
theorem exists_irreducible : ∃ ϖ : R, Irreducible ϖ := by
simp_rw [irreducible_iff_uniformizer]
exact (IsPrincipalIdealRing.principal <| maximalIdeal R).principal
#align discrete_valuation_ring.exists_irreducible DiscreteValuationRing.exists_irreducible
theorem exists_prime : ∃ ϖ : R, Prime ϖ :=
(exists_irreducible R).imp fun _ => irreducible_iff_prime.1
#align discrete_valuation_ring.exists_prime DiscreteValuationRing.exists_prime
| Mathlib/RingTheory/DiscreteValuationRing/Basic.lean | 118 | 145 | theorem iff_pid_with_one_nonzero_prime (R : Type u) [CommRing R] [IsDomain R] :
DiscreteValuationRing R ↔ IsPrincipalIdealRing R ∧ ∃! P : Ideal R, P ≠ ⊥ ∧ IsPrime P := by |
constructor
· intro RDVR
rcases id RDVR with ⟨Rlocal⟩
constructor
· assumption
use LocalRing.maximalIdeal R
constructor
· exact ⟨Rlocal, inferInstance⟩
· rintro Q ⟨hQ1, hQ2⟩
obtain ⟨q, rfl⟩ := (IsPrincipalIdealRing.principal Q).1
have hq : q ≠ 0 := by
rintro rfl
apply hQ1
simp
erw [span_singleton_prime hq] at hQ2
replace hQ2 := hQ2.irreducible
rw [irreducible_iff_uniformizer] at hQ2
exact hQ2.symm
· rintro ⟨RPID, Punique⟩
haveI : LocalRing R := LocalRing.of_unique_nonzero_prime Punique
refine { not_a_field' := ?_ }
rcases Punique with ⟨P, ⟨hP1, hP2⟩, _⟩
have hPM : P ≤ maximalIdeal R := le_maximalIdeal hP2.1
intro h
rw [h, le_bot_iff] at hPM
exact hP1 hPM
| 26 |
import Mathlib.Data.Fintype.Card
import Mathlib.GroupTheory.Perm.Basic
import Mathlib.Tactic.Ring
#align_import data.fintype.perm from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226"
open Function
open Nat
universe u v
variable {α β γ : Type*}
open Finset Function List Equiv Equiv.Perm
variable [DecidableEq α] [DecidableEq β]
def permsOfList : List α → List (Perm α)
| [] => [1]
| a :: l => permsOfList l ++ l.bind fun b => (permsOfList l).map fun f => Equiv.swap a b * f
#align perms_of_list permsOfList
theorem length_permsOfList : ∀ l : List α, length (permsOfList l) = l.length !
| [] => rfl
| a :: l => by
rw [length_cons, Nat.factorial_succ]
simp only [permsOfList, length_append, length_permsOfList, length_bind, comp,
length_map, map_const', sum_replicate, smul_eq_mul, succ_mul]
ring
#align length_perms_of_list length_permsOfList
| Mathlib/Data/Fintype/Perm.lean | 47 | 74 | theorem mem_permsOfList_of_mem {l : List α} {f : Perm α} (h : ∀ x, f x ≠ x → x ∈ l) :
f ∈ permsOfList l := by |
induction l generalizing f with
| nil =>
-- Porting note: applied `not_mem_nil` because it is no longer true definitionally.
simp only [not_mem_nil] at h
exact List.mem_singleton.2 (Equiv.ext fun x => Decidable.by_contradiction <| h x)
| cons a l IH =>
by_cases hfa : f a = a
· refine mem_append_left _ (IH fun x hx => mem_of_ne_of_mem ?_ (h x hx))
rintro rfl
exact hx hfa
have hfa' : f (f a) ≠ f a := mt (fun h => f.injective h) hfa
have : ∀ x : α, (Equiv.swap a (f a) * f) x ≠ x → x ∈ l := by
intro x hx
have hxa : x ≠ a := by
rintro rfl
apply hx
simp only [mul_apply, swap_apply_right]
refine List.mem_of_ne_of_mem hxa (h x fun h => ?_)
simp only [mul_apply, swap_apply_def, mul_apply, Ne, apply_eq_iff_eq] at hx
split_ifs at hx with h_1
exacts [hxa (h.symm.trans h_1), hx h]
suffices f ∈ permsOfList l ∨ ∃ b ∈ l, ∃ g ∈ permsOfList l, Equiv.swap a b * g = f by
simpa only [permsOfList, exists_prop, List.mem_map, mem_append, List.mem_bind]
refine or_iff_not_imp_left.2 fun _hfl => ⟨f a, ?_, Equiv.swap a (f a) * f, IH this, ?_⟩
· exact mem_of_ne_of_mem hfa (h _ hfa')
· rw [← mul_assoc, mul_def (swap a (f a)) (swap a (f a)), swap_swap, ← Perm.one_def, one_mul]
| 26 |
import Mathlib.Topology.StoneCech
import Mathlib.Topology.Algebra.Semigroup
import Mathlib.Data.Stream.Init
#align_import combinatorics.hindman from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
open Filter
@[to_additive
"Addition of ultrafilters given by `∀ᶠ m in U+V, p m ↔ ∀ᶠ m in U, ∀ᶠ m' in V, p (m+m')`."]
def Ultrafilter.mul {M} [Mul M] : Mul (Ultrafilter M) where mul U V := (· * ·) <$> U <*> V
#align ultrafilter.has_mul Ultrafilter.mul
#align ultrafilter.has_add Ultrafilter.add
attribute [local instance] Ultrafilter.mul Ultrafilter.add
@[to_additive]
theorem Ultrafilter.eventually_mul {M} [Mul M] (U V : Ultrafilter M) (p : M → Prop) :
(∀ᶠ m in ↑(U * V), p m) ↔ ∀ᶠ m in U, ∀ᶠ m' in V, p (m * m') :=
Iff.rfl
#align ultrafilter.eventually_mul Ultrafilter.eventually_mul
#align ultrafilter.eventually_add Ultrafilter.eventually_add
@[to_additive
"Additive semigroup structure on `Ultrafilter M` induced by an additive semigroup
structure on `M`."]
def Ultrafilter.semigroup {M} [Semigroup M] : Semigroup (Ultrafilter M) :=
{ Ultrafilter.mul with
mul_assoc := fun U V W =>
Ultrafilter.coe_inj.mp <|
-- porting note (#11083): `simp` was slow to typecheck, replaced by `simp_rw`
Filter.ext' fun p => by simp_rw [Ultrafilter.eventually_mul, mul_assoc] }
#align ultrafilter.semigroup Ultrafilter.semigroup
#align ultrafilter.add_semigroup Ultrafilter.addSemigroup
attribute [local instance] Ultrafilter.semigroup Ultrafilter.addSemigroup
-- We don't prove `continuous_mul_right`, because in general it is false!
@[to_additive]
theorem Ultrafilter.continuous_mul_left {M} [Semigroup M] (V : Ultrafilter M) :
Continuous (· * V) :=
ultrafilterBasis_is_basis.continuous_iff.2 <| Set.forall_mem_range.mpr fun s ↦
ultrafilter_isOpen_basic { m : M | ∀ᶠ m' in V, m * m' ∈ s }
#align ultrafilter.continuous_mul_left Ultrafilter.continuous_mul_left
#align ultrafilter.continuous_add_left Ultrafilter.continuous_add_left
namespace Hindman
-- Porting note: mathport wants these names to be `fS`, `fP`, etc, but this does violence to
-- mathematical naming conventions, as does `fs`, `fp`, so we just followed `mathlib` 3 here
inductive FS {M} [AddSemigroup M] : Stream' M → Set M
| head (a : Stream' M) : FS a a.head
| tail (a : Stream' M) (m : M) (h : FS a.tail m) : FS a m
| cons (a : Stream' M) (m : M) (h : FS a.tail m) : FS a (a.head + m)
set_option linter.uppercaseLean3 false in
#align hindman.FS Hindman.FS
@[to_additive FS]
inductive FP {M} [Semigroup M] : Stream' M → Set M
| head (a : Stream' M) : FP a a.head
| tail (a : Stream' M) (m : M) (h : FP a.tail m) : FP a m
| cons (a : Stream' M) (m : M) (h : FP a.tail m) : FP a (a.head * m)
set_option linter.uppercaseLean3 false in
#align hindman.FP Hindman.FP
@[to_additive
"If `m` and `m'` are finite sums in `M`, then so is `m + m'`, provided that `m'`
is obtained from a subsequence of `M` starting sufficiently late."]
theorem FP.mul {M} [Semigroup M] {a : Stream' M} {m : M} (hm : m ∈ FP a) :
∃ n, ∀ m' ∈ FP (a.drop n), m * m' ∈ FP a := by
induction' hm with a a m hm ih a m hm ih
· exact ⟨1, fun m hm => FP.cons a m hm⟩
· cases' ih with n hn
use n + 1
intro m' hm'
exact FP.tail _ _ (hn _ hm')
· cases' ih with n hn
use n + 1
intro m' hm'
rw [mul_assoc]
exact FP.cons _ _ (hn _ hm')
set_option linter.uppercaseLean3 false in
#align hindman.FP.mul Hindman.FP.mul
set_option linter.uppercaseLean3 false in
#align hindman.FS.add Hindman.FS.add
@[to_additive exists_idempotent_ultrafilter_le_FS]
| Mathlib/Combinatorics/Hindman.lean | 138 | 165 | theorem exists_idempotent_ultrafilter_le_FP {M} [Semigroup M] (a : Stream' M) :
∃ U : Ultrafilter M, U * U = U ∧ ∀ᶠ m in U, m ∈ FP a := by |
let S : Set (Ultrafilter M) := ⋂ n, { U | ∀ᶠ m in U, m ∈ FP (a.drop n) }
have h := exists_idempotent_in_compact_subsemigroup ?_ S ?_ ?_ ?_
· rcases h with ⟨U, hU, U_idem⟩
refine ⟨U, U_idem, ?_⟩
convert Set.mem_iInter.mp hU 0
· exact Ultrafilter.continuous_mul_left
· apply IsCompact.nonempty_iInter_of_sequence_nonempty_isCompact_isClosed
· intro n U hU
filter_upwards [hU]
rw [add_comm, ← Stream'.drop_drop, ← Stream'.tail_eq_drop]
exact FP.tail _
· intro n
exact ⟨pure _, mem_pure.mpr <| FP.head _⟩
· exact (ultrafilter_isClosed_basic _).isCompact
· intro n
apply ultrafilter_isClosed_basic
· exact IsClosed.isCompact (isClosed_iInter fun i => ultrafilter_isClosed_basic _)
· intro U hU V hV
rw [Set.mem_iInter] at *
intro n
rw [Set.mem_setOf_eq, Ultrafilter.eventually_mul]
filter_upwards [hU n] with m hm
obtain ⟨n', hn⟩ := FP.mul hm
filter_upwards [hV (n' + n)] with m' hm'
apply hn
simpa only [Stream'.drop_drop] using hm'
| 26 |
import Mathlib.RingTheory.DedekindDomain.Ideal
import Mathlib.RingTheory.IsAdjoinRoot
#align_import number_theory.kummer_dedekind from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83"
variable (R : Type*) {S : Type*} [CommRing R] [CommRing S] [Algebra R S]
open Ideal Polynomial DoubleQuot UniqueFactorizationMonoid Algebra RingHom
local notation:max R "<" x:max ">" => adjoin R ({x} : Set S)
def conductor (x : S) : Ideal S where
carrier := {a | ∀ b : S, a * b ∈ R<x>}
zero_mem' b := by simpa only [zero_mul] using Subalgebra.zero_mem _
add_mem' ha hb c := by simpa only [add_mul] using Subalgebra.add_mem _ (ha c) (hb c)
smul_mem' c a ha b := by simpa only [smul_eq_mul, mul_left_comm, mul_assoc] using ha (c * b)
#align conductor conductor
variable {R} {x : S}
theorem conductor_eq_of_eq {y : S} (h : (R<x> : Set S) = R<y>) : conductor R x = conductor R y :=
Ideal.ext fun _ => forall_congr' fun _ => Set.ext_iff.mp h _
#align conductor_eq_of_eq conductor_eq_of_eq
theorem conductor_subset_adjoin : (conductor R x : Set S) ⊆ R<x> := fun y hy => by
simpa only [mul_one] using hy 1
#align conductor_subset_adjoin conductor_subset_adjoin
theorem mem_conductor_iff {y : S} : y ∈ conductor R x ↔ ∀ b : S, y * b ∈ R<x> :=
⟨fun h => h, fun h => h⟩
#align mem_conductor_iff mem_conductor_iff
theorem conductor_eq_top_of_adjoin_eq_top (h : R<x> = ⊤) : conductor R x = ⊤ := by
simp only [Ideal.eq_top_iff_one, mem_conductor_iff, h, mem_top, forall_const]
#align conductor_eq_top_of_adjoin_eq_top conductor_eq_top_of_adjoin_eq_top
theorem conductor_eq_top_of_powerBasis (pb : PowerBasis R S) : conductor R pb.gen = ⊤ :=
conductor_eq_top_of_adjoin_eq_top pb.adjoin_gen_eq_top
#align conductor_eq_top_of_power_basis conductor_eq_top_of_powerBasis
open IsLocalization in
lemma mem_coeSubmodule_conductor {L} [CommRing L] [Algebra S L] [Algebra R L]
[IsScalarTower R S L] [NoZeroSMulDivisors S L] {x : S} {y : L} :
y ∈ coeSubmodule L (conductor R x) ↔ ∀ z : S,
y * (algebraMap S L) z ∈ Algebra.adjoin R {algebraMap S L x} := by
cases subsingleton_or_nontrivial L
· rw [Subsingleton.elim (coeSubmodule L _) ⊤, Subsingleton.elim (Algebra.adjoin R _) ⊤]; simp
trans ∀ z, y * (algebraMap S L) z ∈ (Algebra.adjoin R {x}).map (IsScalarTower.toAlgHom R S L)
· simp only [coeSubmodule, Submodule.mem_map, Algebra.linearMap_apply, Subalgebra.mem_map,
IsScalarTower.coe_toAlgHom']
constructor
· rintro ⟨y, hy, rfl⟩ z
exact ⟨_, hy z, map_mul _ _ _⟩
· intro H
obtain ⟨y, _, e⟩ := H 1
rw [_root_.map_one, mul_one] at e
subst e
simp only [← _root_.map_mul, (NoZeroSMulDivisors.algebraMap_injective S L).eq_iff,
exists_eq_right] at H
exact ⟨_, H, rfl⟩
· rw [AlgHom.map_adjoin, Set.image_singleton]; rfl
variable {I : Ideal R}
| Mathlib/NumberTheory/KummerDedekind.lean | 119 | 148 | theorem prod_mem_ideal_map_of_mem_conductor {p : R} {z : S}
(hp : p ∈ Ideal.comap (algebraMap R S) (conductor R x)) (hz' : z ∈ I.map (algebraMap R S)) :
algebraMap R S p * z ∈ algebraMap R<x> S '' ↑(I.map (algebraMap R R<x>)) := by |
rw [Ideal.map, Ideal.span, Finsupp.mem_span_image_iff_total] at hz'
obtain ⟨l, H, H'⟩ := hz'
rw [Finsupp.total_apply] at H'
rw [← H', mul_comm, Finsupp.sum_mul]
have lem : ∀ {a : R}, a ∈ I → l a • algebraMap R S a * algebraMap R S p ∈
algebraMap R<x> S '' I.map (algebraMap R R<x>) := by
intro a ha
rw [Algebra.id.smul_eq_mul, mul_assoc, mul_comm, mul_assoc, Set.mem_image]
refine Exists.intro
(algebraMap R R<x> a * ⟨l a * algebraMap R S p,
show l a * algebraMap R S p ∈ R<x> from ?h⟩) ?_
case h =>
rw [mul_comm]
exact mem_conductor_iff.mp (Ideal.mem_comap.mp hp) _
· refine ⟨?_, ?_⟩
· rw [mul_comm]
apply Ideal.mul_mem_left (I.map (algebraMap R R<x>)) _ (Ideal.mem_map_of_mem _ ha)
· simp only [RingHom.map_mul, mul_comm (algebraMap R S p) (l a)]
rfl
refine Finset.sum_induction _ (fun u => u ∈ algebraMap R<x> S '' I.map (algebraMap R R<x>))
(fun a b => ?_) ?_ ?_
· rintro ⟨z, hz, rfl⟩ ⟨y, hy, rfl⟩
rw [← RingHom.map_add]
exact ⟨z + y, Ideal.add_mem _ (SetLike.mem_coe.mp hz) hy, rfl⟩
· exact ⟨0, SetLike.mem_coe.mpr <| Ideal.zero_mem _, RingHom.map_zero _⟩
· intro y hy
exact lem ((Finsupp.mem_supported _ l).mp H hy)
| 27 |
import Mathlib.Analysis.Convex.Cone.Extension
import Mathlib.Analysis.Convex.Gauge
import Mathlib.Topology.Algebra.Module.FiniteDimension
import Mathlib.Topology.Algebra.Module.LocallyConvex
#align_import analysis.normed_space.hahn_banach.separation from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4"
open Set
open Pointwise
variable {𝕜 E : Type*}
theorem separate_convex_open_set [TopologicalSpace E] [AddCommGroup E] [TopologicalAddGroup E]
[Module ℝ E] [ContinuousSMul ℝ E] {s : Set E} (hs₀ : (0 : E) ∈ s) (hs₁ : Convex ℝ s)
(hs₂ : IsOpen s) {x₀ : E} (hx₀ : x₀ ∉ s) : ∃ f : E →L[ℝ] ℝ, f x₀ = 1 ∧ ∀ x ∈ s, f x < 1 := by
let f : E →ₗ.[ℝ] ℝ := LinearPMap.mkSpanSingleton x₀ 1 (ne_of_mem_of_not_mem hs₀ hx₀).symm
have := exists_extension_of_le_sublinear f (gauge s) (fun c hc => gauge_smul_of_nonneg hc.le)
(gauge_add_le hs₁ <| absorbent_nhds_zero <| hs₂.mem_nhds hs₀) ?_
· obtain ⟨φ, hφ₁, hφ₂⟩ := this
have hφ₃ : φ x₀ = 1 := by
rw [← f.domain.coe_mk x₀ (Submodule.mem_span_singleton_self _), hφ₁,
LinearPMap.mkSpanSingleton'_apply_self]
have hφ₄ : ∀ x ∈ s, φ x < 1 := fun x hx =>
(hφ₂ x).trans_lt (gauge_lt_one_of_mem_of_isOpen hs₂ hx)
refine ⟨⟨φ, ?_⟩, hφ₃, hφ₄⟩
refine
φ.continuous_of_nonzero_on_open _ (hs₂.vadd (-x₀)) (Nonempty.vadd_set ⟨0, hs₀⟩)
(vadd_set_subset_iff.mpr fun x hx => ?_)
change φ (-x₀ + x) ≠ 0
rw [map_add, map_neg]
specialize hφ₄ x hx
linarith
rintro ⟨x, hx⟩
obtain ⟨y, rfl⟩ := Submodule.mem_span_singleton.1 hx
rw [LinearPMap.mkSpanSingleton'_apply]
simp only [mul_one, Algebra.id.smul_eq_mul, Submodule.coe_mk]
obtain h | h := le_or_lt y 0
· exact h.trans (gauge_nonneg _)
· rw [gauge_smul_of_nonneg h.le, smul_eq_mul, le_mul_iff_one_le_right h]
exact
one_le_gauge_of_not_mem (hs₁.starConvex hs₀)
(absorbent_nhds_zero <| hs₂.mem_nhds hs₀).absorbs hx₀
#align separate_convex_open_set separate_convex_open_set
variable [TopologicalSpace E] [AddCommGroup E] [TopologicalAddGroup E] [Module ℝ E]
[ContinuousSMul ℝ E] {s t : Set E} {x y : E}
| Mathlib/Analysis/NormedSpace/HahnBanach/Separation.lean | 84 | 112 | theorem geometric_hahn_banach_open (hs₁ : Convex ℝ s) (hs₂ : IsOpen s) (ht : Convex ℝ t)
(disj : Disjoint s t) : ∃ (f : E →L[ℝ] ℝ) (u : ℝ), (∀ a ∈ s, f a < u) ∧ ∀ b ∈ t, u ≤ f b := by |
obtain rfl | ⟨a₀, ha₀⟩ := s.eq_empty_or_nonempty
· exact ⟨0, 0, by simp, fun b _hb => le_rfl⟩
obtain rfl | ⟨b₀, hb₀⟩ := t.eq_empty_or_nonempty
· exact ⟨0, 1, fun a _ha => zero_lt_one, by simp⟩
let x₀ := b₀ - a₀
let C := x₀ +ᵥ (s - t)
have : (0 : E) ∈ C :=
⟨a₀ - b₀, sub_mem_sub ha₀ hb₀, by simp_rw [x₀, vadd_eq_add, sub_add_sub_cancel', sub_self]⟩
have : Convex ℝ C := (hs₁.sub ht).vadd _
have : x₀ ∉ C := by
intro hx₀
rw [← add_zero x₀] at hx₀
exact disj.zero_not_mem_sub_set (vadd_mem_vadd_set_iff.1 hx₀)
obtain ⟨f, hf₁, hf₂⟩ := separate_convex_open_set ‹0 ∈ C› ‹_› (hs₂.sub_right.vadd _) ‹x₀ ∉ C›
have : f b₀ = f a₀ + 1 := by simp [x₀, ← hf₁]
have forall_le : ∀ a ∈ s, ∀ b ∈ t, f a ≤ f b := by
intro a ha b hb
have := hf₂ (x₀ + (a - b)) (vadd_mem_vadd_set <| sub_mem_sub ha hb)
simp only [f.map_add, f.map_sub, hf₁] at this
linarith
refine ⟨f, sInf (f '' t), image_subset_iff.1 (?_ : f '' s ⊆ Iio (sInf (f '' t))), fun b hb => ?_⟩
· rw [← interior_Iic]
refine interior_maximal (image_subset_iff.2 fun a ha => ?_) (f.isOpenMap_of_ne_zero ?_ _ hs₂)
· exact le_csInf (Nonempty.image _ ⟨_, hb₀⟩) (forall_mem_image.2 <| forall_le _ ha)
· rintro rfl
simp at hf₁
· exact csInf_le ⟨f a₀, forall_mem_image.2 <| forall_le _ ha₀⟩ (mem_image_of_mem _ hb)
| 27 |
import Mathlib.Init.Core
import Mathlib.LinearAlgebra.AffineSpace.Basis
import Mathlib.LinearAlgebra.FiniteDimensional
#align_import linear_algebra.affine_space.finite_dimensional from "leanprover-community/mathlib"@"67e606eaea14c7854bdc556bd53d98aefdf76ec0"
noncomputable section
open Affine
section DivisionRing
variable {k : Type*} {V : Type*} {P : Type*}
open AffineSubspace FiniteDimensional Module
variable [DivisionRing k] [AddCommGroup V] [Module k V] [AffineSpace V P]
| Mathlib/LinearAlgebra/AffineSpace/FiniteDimensional.lean | 747 | 775 | theorem finrank_vectorSpan_insert_le (s : AffineSubspace k P) (p : P) :
finrank k (vectorSpan k (insert p (s : Set P))) ≤ finrank k s.direction + 1 := by |
by_cases hf : FiniteDimensional k s.direction; swap
· have hf' : ¬FiniteDimensional k (vectorSpan k (insert p (s : Set P))) := by
intro h
have h' : s.direction ≤ vectorSpan k (insert p (s : Set P)) := by
conv_lhs => rw [← affineSpan_coe s, direction_affineSpan]
exact vectorSpan_mono k (Set.subset_insert _ _)
exact hf (Submodule.finiteDimensional_of_le h')
rw [finrank_of_infinite_dimensional hf, finrank_of_infinite_dimensional hf', zero_add]
exact zero_le_one
have : FiniteDimensional k s.direction := hf
rw [← direction_affineSpan, ← affineSpan_insert_affineSpan]
rcases (s : Set P).eq_empty_or_nonempty with (hs | ⟨p₀, hp₀⟩)
· rw [coe_eq_bot_iff] at hs
rw [hs, bot_coe, span_empty, bot_coe, direction_affineSpan, direction_bot, finrank_bot,
zero_add]
convert zero_le_one' ℕ
rw [← finrank_bot k V]
convert rfl <;> simp
· rw [affineSpan_coe, direction_affineSpan_insert hp₀, add_comm]
refine (Submodule.finrank_add_le_finrank_add_finrank _ _).trans (add_le_add_right ?_ _)
refine finrank_le_one ⟨p -ᵥ p₀, Submodule.mem_span_singleton_self _⟩ fun v => ?_
have h := v.property
rw [Submodule.mem_span_singleton] at h
rcases h with ⟨c, hc⟩
refine ⟨c, ?_⟩
ext
exact hc
| 27 |
import Mathlib.Analysis.Convex.Slope
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Mathlib.Tactic.LinearCombination
#align_import analysis.convex.specific_functions.basic from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92"
open Real Set NNReal
theorem strictConvexOn_exp : StrictConvexOn ℝ univ exp := by
apply strictConvexOn_of_slope_strict_mono_adjacent convex_univ
rintro x y z - - hxy hyz
trans exp y
· have h1 : 0 < y - x := by linarith
have h2 : x - y < 0 := by linarith
rw [div_lt_iff h1]
calc
exp y - exp x = exp y - exp y * exp (x - y) := by rw [← exp_add]; ring_nf
_ = exp y * (1 - exp (x - y)) := by ring
_ < exp y * -(x - y) := by gcongr; linarith [add_one_lt_exp h2.ne]
_ = exp y * (y - x) := by ring
· have h1 : 0 < z - y := by linarith
rw [lt_div_iff h1]
calc
exp y * (z - y) < exp y * (exp (z - y) - 1) := by
gcongr _ * ?_
linarith [add_one_lt_exp h1.ne']
_ = exp (z - y) * exp y - exp y := by ring
_ ≤ exp z - exp y := by rw [← exp_add]; ring_nf; rfl
#align strict_convex_on_exp strictConvexOn_exp
theorem convexOn_exp : ConvexOn ℝ univ exp :=
strictConvexOn_exp.convexOn
#align convex_on_exp convexOn_exp
| Mathlib/Analysis/Convex/SpecificFunctions/Basic.lean | 67 | 94 | theorem strictConcaveOn_log_Ioi : StrictConcaveOn ℝ (Ioi 0) log := by |
apply strictConcaveOn_of_slope_strict_anti_adjacent (convex_Ioi (0 : ℝ))
intro x y z (hx : 0 < x) (hz : 0 < z) hxy hyz
have hy : 0 < y := hx.trans hxy
trans y⁻¹
· have h : 0 < z - y := by linarith
rw [div_lt_iff h]
have hyz' : 0 < z / y := by positivity
have hyz'' : z / y ≠ 1 := by
contrapose! h
rw [div_eq_one_iff_eq hy.ne'] at h
simp [h]
calc
log z - log y = log (z / y) := by rw [← log_div hz.ne' hy.ne']
_ < z / y - 1 := log_lt_sub_one_of_pos hyz' hyz''
_ = y⁻¹ * (z - y) := by field_simp
· have h : 0 < y - x := by linarith
rw [lt_div_iff h]
have hxy' : 0 < x / y := by positivity
have hxy'' : x / y ≠ 1 := by
contrapose! h
rw [div_eq_one_iff_eq hy.ne'] at h
simp [h]
calc
y⁻¹ * (y - x) = 1 - x / y := by field_simp
_ < -log (x / y) := by linarith [log_lt_sub_one_of_pos hxy' hxy'']
_ = -(log x - log y) := by rw [log_div hx.ne' hy.ne']
_ = log y - log x := by ring
| 27 |
import Mathlib.Analysis.InnerProductSpace.Adjoint
import Mathlib.Analysis.Matrix
import Mathlib.Analysis.RCLike.Basic
import Mathlib.LinearAlgebra.UnitaryGroup
import Mathlib.Topology.UniformSpace.Matrix
#align_import analysis.normed_space.star.matrix from "leanprover-community/mathlib"@"468b141b14016d54b479eb7a0fff1e360b7e3cf6"
open scoped Matrix
variable {𝕜 m n l E : Type*}
section EntrywiseSupNorm
variable [RCLike 𝕜] [Fintype n] [DecidableEq n]
| Mathlib/Analysis/NormedSpace/Star/Matrix.lean | 49 | 77 | theorem entry_norm_bound_of_unitary {U : Matrix n n 𝕜} (hU : U ∈ Matrix.unitaryGroup n 𝕜)
(i j : n) : ‖U i j‖ ≤ 1 := by |
-- The norm squared of an entry is at most the L2 norm of its row.
have norm_sum : ‖U i j‖ ^ 2 ≤ ∑ x, ‖U i x‖ ^ 2 := by
apply Multiset.single_le_sum
· intro x h_x
rw [Multiset.mem_map] at h_x
cases' h_x with a h_a
rw [← h_a.2]
apply sq_nonneg
· rw [Multiset.mem_map]
use j
simp only [eq_self_iff_true, Finset.mem_univ_val, and_self_iff, sq_eq_sq]
-- The L2 norm of a row is a diagonal entry of U * Uᴴ
have diag_eq_norm_sum : (U * Uᴴ) i i = (∑ x : n, ‖U i x‖ ^ 2 : ℝ) := by
simp only [Matrix.mul_apply, Matrix.conjTranspose_apply, ← starRingEnd_apply, RCLike.mul_conj,
RCLike.normSq_eq_def', RCLike.ofReal_pow]; norm_cast
-- The L2 norm of a row is a diagonal entry of U * Uᴴ, real part
have re_diag_eq_norm_sum : RCLike.re ((U * Uᴴ) i i) = ∑ x : n, ‖U i x‖ ^ 2 := by
rw [RCLike.ext_iff] at diag_eq_norm_sum
rw [diag_eq_norm_sum.1]
norm_cast
-- Since U is unitary, the diagonal entries of U * Uᴴ are all 1
have mul_eq_one : U * Uᴴ = 1 := unitary.mul_star_self_of_mem hU
have diag_eq_one : RCLike.re ((U * Uᴴ) i i) = 1 := by
simp only [mul_eq_one, eq_self_iff_true, Matrix.one_apply_eq, RCLike.one_re]
-- Putting it all together
rw [← sq_le_one_iff (norm_nonneg (U i j)), ← diag_eq_one, re_diag_eq_norm_sum]
exact norm_sum
| 27 |
import Mathlib.Analysis.Convex.Cone.Extension
import Mathlib.Analysis.Convex.Gauge
import Mathlib.Topology.Algebra.Module.FiniteDimension
import Mathlib.Topology.Algebra.Module.LocallyConvex
#align_import analysis.normed_space.hahn_banach.separation from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4"
open Set
open Pointwise
variable {𝕜 E : Type*}
| Mathlib/Analysis/NormedSpace/HahnBanach/Separation.lean | 47 | 76 | theorem separate_convex_open_set [TopologicalSpace E] [AddCommGroup E] [TopologicalAddGroup E]
[Module ℝ E] [ContinuousSMul ℝ E] {s : Set E} (hs₀ : (0 : E) ∈ s) (hs₁ : Convex ℝ s)
(hs₂ : IsOpen s) {x₀ : E} (hx₀ : x₀ ∉ s) : ∃ f : E →L[ℝ] ℝ, f x₀ = 1 ∧ ∀ x ∈ s, f x < 1 := by |
let f : E →ₗ.[ℝ] ℝ := LinearPMap.mkSpanSingleton x₀ 1 (ne_of_mem_of_not_mem hs₀ hx₀).symm
have := exists_extension_of_le_sublinear f (gauge s) (fun c hc => gauge_smul_of_nonneg hc.le)
(gauge_add_le hs₁ <| absorbent_nhds_zero <| hs₂.mem_nhds hs₀) ?_
· obtain ⟨φ, hφ₁, hφ₂⟩ := this
have hφ₃ : φ x₀ = 1 := by
rw [← f.domain.coe_mk x₀ (Submodule.mem_span_singleton_self _), hφ₁,
LinearPMap.mkSpanSingleton'_apply_self]
have hφ₄ : ∀ x ∈ s, φ x < 1 := fun x hx =>
(hφ₂ x).trans_lt (gauge_lt_one_of_mem_of_isOpen hs₂ hx)
refine ⟨⟨φ, ?_⟩, hφ₃, hφ₄⟩
refine
φ.continuous_of_nonzero_on_open _ (hs₂.vadd (-x₀)) (Nonempty.vadd_set ⟨0, hs₀⟩)
(vadd_set_subset_iff.mpr fun x hx => ?_)
change φ (-x₀ + x) ≠ 0
rw [map_add, map_neg]
specialize hφ₄ x hx
linarith
rintro ⟨x, hx⟩
obtain ⟨y, rfl⟩ := Submodule.mem_span_singleton.1 hx
rw [LinearPMap.mkSpanSingleton'_apply]
simp only [mul_one, Algebra.id.smul_eq_mul, Submodule.coe_mk]
obtain h | h := le_or_lt y 0
· exact h.trans (gauge_nonneg _)
· rw [gauge_smul_of_nonneg h.le, smul_eq_mul, le_mul_iff_one_le_right h]
exact
one_le_gauge_of_not_mem (hs₁.starConvex hs₀)
(absorbent_nhds_zero <| hs₂.mem_nhds hs₀).absorbs hx₀
| 27 |
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 CommSemiring
variable [CommSemiring R]
theorem Monic.C_dvd_iff_isUnit {p : R[X]} (hp : Monic p) {a : R} :
C a ∣ p ↔ IsUnit a :=
⟨fun h => isUnit_iff_dvd_one.mpr <|
hp.coeff_natDegree ▸ (C_dvd_iff_dvd_coeff _ _).mp h p.natDegree,
fun ha => (ha.map C).dvd⟩
theorem degree_pos_of_not_isUnit_of_dvd_monic {a p : R[X]} (ha : ¬ IsUnit a)
(hap : a ∣ p) (hp : Monic p) :
0 < degree a :=
lt_of_not_ge <| fun h => ha <| by
rw [Polynomial.eq_C_of_degree_le_zero h] at hap ⊢
simpa [hp.C_dvd_iff_isUnit, isUnit_C] using hap
theorem natDegree_pos_of_not_isUnit_of_dvd_monic {a p : R[X]} (ha : ¬ IsUnit a)
(hap : a ∣ p) (hp : Monic p) :
0 < natDegree a :=
natDegree_pos_iff_degree_pos.mpr <| degree_pos_of_not_isUnit_of_dvd_monic ha hap hp
theorem degree_pos_of_monic_of_not_isUnit {a : R[X]} (hu : ¬ IsUnit a) (ha : Monic a) :
0 < degree a :=
degree_pos_of_not_isUnit_of_dvd_monic hu dvd_rfl ha
theorem natDegree_pos_of_monic_of_not_isUnit {a : R[X]} (hu : ¬ IsUnit a) (ha : Monic a) :
0 < natDegree a :=
natDegree_pos_iff_degree_pos.mpr <| degree_pos_of_monic_of_not_isUnit hu ha
| Mathlib/Algebra/Polynomial/RingDivision.lean | 368 | 396 | theorem eq_zero_of_mul_eq_zero_of_smul (P : R[X]) (h : ∀ r : R, r • P = 0 → r = 0) :
∀ (Q : R[X]), P * Q = 0 → Q = 0 := by |
intro Q hQ
suffices ∀ i, P.coeff i • Q = 0 by
rw [← leadingCoeff_eq_zero]
apply h
simpa [ext_iff, mul_comm Q.leadingCoeff] using fun i ↦ congr_arg (·.coeff Q.natDegree) (this i)
apply Nat.strong_decreasing_induction
· use P.natDegree
intro i hi
rw [coeff_eq_zero_of_natDegree_lt hi, zero_smul]
intro l IH
obtain _|hl := (natDegree_smul_le (P.coeff l) Q).lt_or_eq
· apply eq_zero_of_mul_eq_zero_of_smul _ h (P.coeff l • Q)
rw [smul_eq_C_mul, mul_left_comm, hQ, mul_zero]
suffices P.coeff l * Q.leadingCoeff = 0 by
rwa [← leadingCoeff_eq_zero, ← coeff_natDegree, coeff_smul, hl, coeff_natDegree, smul_eq_mul]
let m := Q.natDegree
suffices (P * Q).coeff (l + m) = P.coeff l * Q.leadingCoeff by rw [← this, hQ, coeff_zero]
rw [coeff_mul]
apply Finset.sum_eq_single (l, m) _ (by simp)
simp only [Finset.mem_antidiagonal, ne_eq, Prod.forall, Prod.mk.injEq, not_and]
intro i j hij H
obtain hi|rfl|hi := lt_trichotomy i l
· have hj : m < j := by omega
rw [coeff_eq_zero_of_natDegree_lt hj, mul_zero]
· omega
· rw [← coeff_C_mul, ← smul_eq_C_mul, IH _ hi, coeff_zero]
termination_by Q => Q.natDegree
| 27 |
import Mathlib.Algebra.MvPolynomial.Supported
import Mathlib.RingTheory.WittVector.Truncated
#align_import ring_theory.witt_vector.mul_coeff from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
namespace WittVector
variable (p : ℕ) [hp : Fact p.Prime]
variable {k : Type*} [CommRing k]
local notation "𝕎" => WittVector p
-- Porting note: new notation
local notation "𝕄" => MvPolynomial (Fin 2 × ℕ) ℤ
open Finset MvPolynomial
def wittPolyProd (n : ℕ) : 𝕄 :=
rename (Prod.mk (0 : Fin 2)) (wittPolynomial p ℤ n) *
rename (Prod.mk (1 : Fin 2)) (wittPolynomial p ℤ n)
#align witt_vector.witt_poly_prod WittVector.wittPolyProd
theorem wittPolyProd_vars (n : ℕ) : (wittPolyProd p n).vars ⊆ univ ×ˢ range (n + 1) := by
rw [wittPolyProd]
apply Subset.trans (vars_mul _ _)
refine union_subset ?_ ?_ <;>
· refine Subset.trans (vars_rename _ _) ?_
simp [wittPolynomial_vars, image_subset_iff]
#align witt_vector.witt_poly_prod_vars WittVector.wittPolyProd_vars
def wittPolyProdRemainder (n : ℕ) : 𝕄 :=
∑ i ∈ range n, (p : 𝕄) ^ i * wittMul p i ^ p ^ (n - i)
#align witt_vector.witt_poly_prod_remainder WittVector.wittPolyProdRemainder
theorem wittPolyProdRemainder_vars (n : ℕ) :
(wittPolyProdRemainder p n).vars ⊆ univ ×ˢ range n := by
rw [wittPolyProdRemainder]
refine Subset.trans (vars_sum_subset _ _) ?_
rw [biUnion_subset]
intro x hx
apply Subset.trans (vars_mul _ _)
refine union_subset ?_ ?_
· apply Subset.trans (vars_pow _ _)
have : (p : 𝕄) = C (p : ℤ) := by simp only [Int.cast_natCast, eq_intCast]
rw [this, vars_C]
apply empty_subset
· apply Subset.trans (vars_pow _ _)
apply Subset.trans (wittMul_vars _ _)
apply product_subset_product (Subset.refl _)
simp only [mem_range, range_subset] at hx ⊢
exact hx
#align witt_vector.witt_poly_prod_remainder_vars WittVector.wittPolyProdRemainder_vars
def remainder (n : ℕ) : 𝕄 :=
(∑ x ∈ range (n + 1),
(rename (Prod.mk 0)) ((monomial (Finsupp.single x (p ^ (n + 1 - x)))) ((p : ℤ) ^ x))) *
∑ x ∈ range (n + 1),
(rename (Prod.mk 1)) ((monomial (Finsupp.single x (p ^ (n + 1 - x)))) ((p : ℤ) ^ x))
#align witt_vector.remainder WittVector.remainder
theorem remainder_vars (n : ℕ) : (remainder p n).vars ⊆ univ ×ˢ range (n + 1) := by
rw [remainder]
apply Subset.trans (vars_mul _ _)
refine union_subset ?_ ?_ <;>
· refine Subset.trans (vars_sum_subset _ _) ?_
rw [biUnion_subset]
intro x hx
rw [rename_monomial, vars_monomial, Finsupp.mapDomain_single]
· apply Subset.trans Finsupp.support_single_subset
simpa using mem_range.mp hx
· apply pow_ne_zero
exact mod_cast hp.out.ne_zero
#align witt_vector.remainder_vars WittVector.remainder_vars
def polyOfInterest (n : ℕ) : 𝕄 :=
wittMul p (n + 1) + (p : 𝕄) ^ (n + 1) * X (0, n + 1) * X (1, n + 1) -
X (0, n + 1) * rename (Prod.mk (1 : Fin 2)) (wittPolynomial p ℤ (n + 1)) -
X (1, n + 1) * rename (Prod.mk (0 : Fin 2)) (wittPolynomial p ℤ (n + 1))
#align witt_vector.poly_of_interest WittVector.polyOfInterest
theorem mul_polyOfInterest_aux1 (n : ℕ) :
∑ i ∈ range (n + 1), (p : 𝕄) ^ i * wittMul p i ^ p ^ (n - i) = wittPolyProd p n := by
simp only [wittPolyProd]
convert wittStructureInt_prop p (X (0 : Fin 2) * X 1) n using 1
· simp only [wittPolynomial, wittMul]
rw [AlgHom.map_sum]
congr 1 with i
congr 1
have hsupp : (Finsupp.single i (p ^ (n - i))).support = {i} := by
rw [Finsupp.support_eq_singleton]
simp only [and_true_iff, Finsupp.single_eq_same, eq_self_iff_true, Ne]
exact pow_ne_zero _ hp.out.ne_zero
simp only [bind₁_monomial, hsupp, Int.cast_natCast, prod_singleton, eq_intCast,
Finsupp.single_eq_same, C_pow, mul_eq_mul_left_iff, true_or_iff, eq_self_iff_true,
Int.cast_pow]
· simp only [map_mul, bind₁_X_right]
#align witt_vector.mul_poly_of_interest_aux1 WittVector.mul_polyOfInterest_aux1
theorem mul_polyOfInterest_aux2 (n : ℕ) :
(p : 𝕄) ^ n * wittMul p n + wittPolyProdRemainder p n = wittPolyProd p n := by
convert mul_polyOfInterest_aux1 p n
rw [sum_range_succ, add_comm, Nat.sub_self, pow_zero, pow_one]
rfl
#align witt_vector.mul_poly_of_interest_aux2 WittVector.mul_polyOfInterest_aux2
| Mathlib/RingTheory/WittVector/MulCoeff.lean | 145 | 176 | theorem mul_polyOfInterest_aux3 (n : ℕ) : wittPolyProd p (n + 1) =
-((p : 𝕄) ^ (n + 1) * X (0, n + 1)) * ((p : 𝕄) ^ (n + 1) * X (1, n + 1)) +
(p : 𝕄) ^ (n + 1) * X (0, n + 1) * rename (Prod.mk (1 : Fin 2)) (wittPolynomial p ℤ (n + 1)) +
(p : 𝕄) ^ (n + 1) * X (1, n + 1) * rename (Prod.mk (0 : Fin 2)) (wittPolynomial p ℤ (n + 1)) +
remainder p n := by |
-- a useful auxiliary fact
have mvpz : (p : 𝕄) ^ (n + 1) = MvPolynomial.C ((p : ℤ) ^ (n + 1)) := by norm_cast
-- Porting note: the original proof applies `sum_range_succ` through a non-`conv` rewrite,
-- but this does not work in Lean 4; the whole proof also times out very badly. The proof has been
-- nearly totally rewritten here and now finishes quite fast.
rw [wittPolyProd, wittPolynomial, AlgHom.map_sum, AlgHom.map_sum]
conv_lhs =>
arg 1
rw [sum_range_succ, ← C_mul_X_pow_eq_monomial, tsub_self, pow_zero, pow_one, map_mul,
rename_C, rename_X, ← mvpz]
conv_lhs =>
arg 2
rw [sum_range_succ, ← C_mul_X_pow_eq_monomial, tsub_self, pow_zero, pow_one, map_mul,
rename_C, rename_X, ← mvpz]
conv_rhs =>
enter [1, 1, 2, 2]
rw [sum_range_succ, ← C_mul_X_pow_eq_monomial, tsub_self, pow_zero, pow_one, map_mul,
rename_C, rename_X, ← mvpz]
conv_rhs =>
enter [1, 2, 2]
rw [sum_range_succ, ← C_mul_X_pow_eq_monomial, tsub_self, pow_zero, pow_one, map_mul,
rename_C, rename_X, ← mvpz]
simp only [add_mul, mul_add]
rw [add_comm _ (remainder p n)]
simp only [add_assoc]
apply congrArg (Add.add _)
ring
| 27 |
import Mathlib.Algebra.Polynomial.Taylor
import Mathlib.RingTheory.Ideal.LocalRing
import Mathlib.RingTheory.AdicCompletion.Basic
#align_import ring_theory.henselian from "leanprover-community/mathlib"@"d1accf4f9cddb3666c6e8e4da0ac2d19c4ed73f0"
noncomputable section
universe u v
open Polynomial LocalRing Polynomial Function List
theorem isLocalRingHom_of_le_jacobson_bot {R : Type*} [CommRing R] (I : Ideal R)
(h : I ≤ Ideal.jacobson ⊥) : IsLocalRingHom (Ideal.Quotient.mk I) := by
constructor
intro a h
have : IsUnit (Ideal.Quotient.mk (Ideal.jacobson ⊥) a) := by
rw [isUnit_iff_exists_inv] at *
obtain ⟨b, hb⟩ := h
obtain ⟨b, rfl⟩ := Ideal.Quotient.mk_surjective b
use Ideal.Quotient.mk _ b
rw [← (Ideal.Quotient.mk _).map_one, ← (Ideal.Quotient.mk _).map_mul, Ideal.Quotient.eq] at hb ⊢
exact h hb
obtain ⟨⟨x, y, h1, h2⟩, rfl : x = _⟩ := this
obtain ⟨y, rfl⟩ := Ideal.Quotient.mk_surjective y
rw [← (Ideal.Quotient.mk _).map_mul, ← (Ideal.Quotient.mk _).map_one, Ideal.Quotient.eq,
Ideal.mem_jacobson_bot] at h1 h2
specialize h1 1
simp? at h1 says simp only [mul_one, sub_add_cancel, IsUnit.mul_iff] at h1
exact h1.1
#align is_local_ring_hom_of_le_jacobson_bot isLocalRingHom_of_le_jacobson_bot
class HenselianRing (R : Type*) [CommRing R] (I : Ideal R) : Prop where
jac : I ≤ Ideal.jacobson ⊥
is_henselian :
∀ (f : R[X]) (_ : f.Monic) (a₀ : R) (_ : f.eval a₀ ∈ I)
(_ : IsUnit (Ideal.Quotient.mk I (f.derivative.eval a₀))), ∃ a : R, f.IsRoot a ∧ a - a₀ ∈ I
#align henselian_ring HenselianRing
class HenselianLocalRing (R : Type*) [CommRing R] extends LocalRing R : Prop where
is_henselian :
∀ (f : R[X]) (_ : f.Monic) (a₀ : R) (_ : f.eval a₀ ∈ maximalIdeal R)
(_ : IsUnit (f.derivative.eval a₀)), ∃ a : R, f.IsRoot a ∧ a - a₀ ∈ maximalIdeal R
#align henselian_local_ring HenselianLocalRing
-- see Note [lower instance priority]
instance (priority := 100) Field.henselian (K : Type*) [Field K] : HenselianLocalRing K where
is_henselian f _ a₀ h₁ _ := by
simp only [(maximalIdeal K).eq_bot_of_prime, Ideal.mem_bot] at h₁ ⊢
exact ⟨a₀, h₁, sub_self _⟩
#align field.henselian Field.henselian
| Mathlib/RingTheory/Henselian.lean | 121 | 155 | theorem HenselianLocalRing.TFAE (R : Type u) [CommRing R] [LocalRing R] :
TFAE
[HenselianLocalRing R,
∀ f : R[X], f.Monic → ∀ a₀ : ResidueField R, aeval a₀ f = 0 →
aeval a₀ (derivative f) ≠ 0 → ∃ a : R, f.IsRoot a ∧ residue R a = a₀,
∀ {K : Type u} [Field K],
∀ (φ : R →+* K), Surjective φ → ∀ f : R[X], f.Monic → ∀ a₀ : K,
f.eval₂ φ a₀ = 0 → f.derivative.eval₂ φ a₀ ≠ 0 → ∃ a : R, f.IsRoot a ∧ φ a = a₀] := by |
tfae_have 3 → 2
· intro H
exact H (residue R) Ideal.Quotient.mk_surjective
tfae_have 2 → 1
· intro H
constructor
intro f hf a₀ h₁ h₂
specialize H f hf (residue R a₀)
have aux := flip mem_nonunits_iff.mp h₂
simp only [aeval_def, ResidueField.algebraMap_eq, eval₂_at_apply, ←
Ideal.Quotient.eq_zero_iff_mem, ← LocalRing.mem_maximalIdeal] at H h₁ aux
obtain ⟨a, ha₁, ha₂⟩ := H h₁ aux
refine ⟨a, ha₁, ?_⟩
rw [← Ideal.Quotient.eq_zero_iff_mem]
rwa [← sub_eq_zero, ← RingHom.map_sub] at ha₂
tfae_have 1 → 3
· intro hR K _K φ hφ f hf a₀ h₁ h₂
obtain ⟨a₀, rfl⟩ := hφ a₀
have H := HenselianLocalRing.is_henselian f hf a₀
simp only [← ker_eq_maximalIdeal φ hφ, eval₂_at_apply, RingHom.mem_ker φ] at H h₁ h₂
obtain ⟨a, ha₁, ha₂⟩ := H h₁ (by
contrapose! h₂
rwa [← mem_nonunits_iff, ← LocalRing.mem_maximalIdeal, ← LocalRing.ker_eq_maximalIdeal φ hφ,
RingHom.mem_ker] at h₂)
refine ⟨a, ha₁, ?_⟩
rwa [φ.map_sub, sub_eq_zero] at ha₂
tfae_finish
| 27 |
import Mathlib.Analysis.Convex.Combination
import Mathlib.Analysis.Convex.Join
#align_import analysis.convex.stone_separation from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f"
open Set
variable {𝕜 E ι : Type*} [LinearOrderedField 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E}
theorem not_disjoint_segment_convexHull_triple {p q u v x y z : E} (hz : z ∈ segment 𝕜 x y)
(hu : u ∈ segment 𝕜 x p) (hv : v ∈ segment 𝕜 y q) :
¬Disjoint (segment 𝕜 u v) (convexHull 𝕜 {p, q, z}) := by
rw [not_disjoint_iff]
obtain ⟨az, bz, haz, hbz, habz, rfl⟩ := hz
obtain rfl | haz' := haz.eq_or_lt
· rw [zero_add] at habz
rw [zero_smul, zero_add, habz, one_smul]
refine ⟨v, by apply right_mem_segment, segment_subset_convexHull ?_ ?_ hv⟩ <;> simp
obtain ⟨av, bv, hav, hbv, habv, rfl⟩ := hv
obtain rfl | hav' := hav.eq_or_lt
· rw [zero_add] at habv
rw [zero_smul, zero_add, habv, one_smul]
exact ⟨q, right_mem_segment _ _ _, subset_convexHull _ _ <| by simp⟩
obtain ⟨au, bu, hau, hbu, habu, rfl⟩ := hu
have hab : 0 < az * av + bz * au := by positivity
refine ⟨(az * av / (az * av + bz * au)) • (au • x + bu • p) +
(bz * au / (az * av + bz * au)) • (av • y + bv • q), ⟨_, _, ?_, ?_, ?_, rfl⟩, ?_⟩
· positivity
· positivity
· rw [← add_div, div_self]; positivity
rw [smul_add, smul_add, add_add_add_comm, add_comm, ← mul_smul, ← mul_smul]
classical
let w : Fin 3 → 𝕜 := ![az * av * bu, bz * au * bv, au * av]
let z : Fin 3 → E := ![p, q, az • x + bz • y]
have hw₀ : ∀ i, 0 ≤ w i := by
rintro i
fin_cases i
· exact mul_nonneg (mul_nonneg haz hav) hbu
· exact mul_nonneg (mul_nonneg hbz hau) hbv
· exact mul_nonneg hau hav
have hw : ∑ i, w i = az * av + bz * au := by
trans az * av * bu + (bz * au * bv + au * av)
· simp [w, Fin.sum_univ_succ, Fin.sum_univ_zero]
rw [← one_mul (au * av), ← habz, add_mul, ← add_assoc, add_add_add_comm, mul_assoc, ← mul_add,
mul_assoc, ← mul_add, mul_comm av, ← add_mul, ← mul_add, add_comm bu, add_comm bv, habu,
habv, one_mul, mul_one]
have hz : ∀ i, z i ∈ ({p, q, az • x + bz • y} : Set E) := fun i => by fin_cases i <;> simp [z]
convert Finset.centerMass_mem_convexHull (Finset.univ : Finset (Fin 3)) (fun i _ => hw₀ i)
(by rwa [hw]) fun i _ => hz i
rw [Finset.centerMass]
simp_rw [div_eq_inv_mul, hw, mul_assoc, mul_smul (az * av + bz * au)⁻¹, ← smul_add, add_assoc, ←
mul_assoc]
congr 3
rw [← mul_smul, ← mul_rotate, mul_right_comm, mul_smul, ← mul_smul _ av, mul_rotate,
mul_smul _ bz, ← smul_add]
simp only [w, z, smul_add, List.foldr, Matrix.cons_val_succ', Fin.mk_one,
Matrix.cons_val_one, Matrix.head_cons, add_zero]
#align not_disjoint_segment_convex_hull_triple not_disjoint_segment_convexHull_triple
| Mathlib/Analysis/Convex/StoneSeparation.lean | 81 | 109 | theorem exists_convex_convex_compl_subset (hs : Convex 𝕜 s) (ht : Convex 𝕜 t) (hst : Disjoint s t) :
∃ C : Set E, Convex 𝕜 C ∧ Convex 𝕜 Cᶜ ∧ s ⊆ C ∧ t ⊆ Cᶜ := by |
let S : Set (Set E) := { C | Convex 𝕜 C ∧ Disjoint C t }
obtain ⟨C, hC, hsC, hCmax⟩ :=
zorn_subset_nonempty S
(fun c hcS hc ⟨_, _⟩ =>
⟨⋃₀ c,
⟨hc.directedOn.convex_sUnion fun s hs => (hcS hs).1,
disjoint_sUnion_left.2 fun c hc => (hcS hc).2⟩,
fun s => subset_sUnion_of_mem⟩)
s ⟨hs, hst⟩
refine
⟨C, hC.1, convex_iff_segment_subset.2 fun x hx y hy z hz hzC => ?_, hsC, hC.2.subset_compl_left⟩
suffices h : ∀ c ∈ Cᶜ, ∃ a ∈ C, (segment 𝕜 c a ∩ t).Nonempty by
obtain ⟨p, hp, u, hu, hut⟩ := h x hx
obtain ⟨q, hq, v, hv, hvt⟩ := h y hy
refine
not_disjoint_segment_convexHull_triple hz hu hv
(hC.2.symm.mono (ht.segment_subset hut hvt) <| convexHull_min ?_ hC.1)
simp [insert_subset_iff, hp, hq, singleton_subset_iff.2 hzC]
rintro c hc
by_contra! h
suffices h : Disjoint (convexHull 𝕜 (insert c C)) t by
rw [←
hCmax _ ⟨convex_convexHull _ _, h⟩ ((subset_insert _ _).trans <| subset_convexHull _ _)] at hc
exact hc (subset_convexHull _ _ <| mem_insert _ _)
rw [convexHull_insert ⟨z, hzC⟩, convexJoin_singleton_left]
refine disjoint_iUnion₂_left.2 fun a ha => disjoint_iff_inter_eq_empty.2 (h a ?_)
rwa [← hC.1.convexHull_eq]
| 27 |
import Mathlib.Algebra.MvPolynomial.PDeriv
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.LinearAlgebra.LinearIndependent
import Mathlib.RingTheory.Polynomial.Pochhammer
#align_import ring_theory.polynomial.bernstein from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821"
noncomputable section
open Nat (choose)
open Polynomial (X)
open scoped Polynomial
variable (R : Type*) [CommRing R]
def bernsteinPolynomial (n ν : ℕ) : R[X] :=
(choose n ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν)
#align bernstein_polynomial bernsteinPolynomial
example : bernsteinPolynomial ℤ 3 2 = 3 * X ^ 2 - 3 * X ^ 3 := by
norm_num [bernsteinPolynomial, choose]
ring
namespace bernsteinPolynomial
theorem eq_zero_of_lt {n ν : ℕ} (h : n < ν) : bernsteinPolynomial R n ν = 0 := by
simp [bernsteinPolynomial, Nat.choose_eq_zero_of_lt h]
#align bernstein_polynomial.eq_zero_of_lt bernsteinPolynomial.eq_zero_of_lt
section
variable {R} {S : Type*} [CommRing S]
@[simp]
theorem map (f : R →+* S) (n ν : ℕ) :
(bernsteinPolynomial R n ν).map f = bernsteinPolynomial S n ν := by simp [bernsteinPolynomial]
#align bernstein_polynomial.map bernsteinPolynomial.map
end
theorem flip (n ν : ℕ) (h : ν ≤ n) :
(bernsteinPolynomial R n ν).comp (1 - X) = bernsteinPolynomial R n (n - ν) := by
simp [bernsteinPolynomial, h, tsub_tsub_assoc, mul_right_comm]
#align bernstein_polynomial.flip bernsteinPolynomial.flip
theorem flip' (n ν : ℕ) (h : ν ≤ n) :
bernsteinPolynomial R n ν = (bernsteinPolynomial R n (n - ν)).comp (1 - X) := by
simp [← flip _ _ _ h, Polynomial.comp_assoc]
#align bernstein_polynomial.flip' bernsteinPolynomial.flip'
theorem eval_at_0 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 0 = if ν = 0 then 1 else 0 := by
rw [bernsteinPolynomial]
split_ifs with h
· subst h; simp
· simp [zero_pow h]
#align bernstein_polynomial.eval_at_0 bernsteinPolynomial.eval_at_0
theorem eval_at_1 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 1 = if ν = n then 1 else 0 := by
rw [bernsteinPolynomial]
split_ifs with h
· subst h; simp
· obtain hνn | hnν := Ne.lt_or_lt h
· simp [zero_pow $ Nat.sub_ne_zero_of_lt hνn]
· simp [Nat.choose_eq_zero_of_lt hnν]
#align bernstein_polynomial.eval_at_1 bernsteinPolynomial.eval_at_1
| Mathlib/RingTheory/Polynomial/Bernstein.lean | 102 | 131 | theorem derivative_succ_aux (n ν : ℕ) :
Polynomial.derivative (bernsteinPolynomial R (n + 1) (ν + 1)) =
(n + 1) * (bernsteinPolynomial R n ν - bernsteinPolynomial R n (ν + 1)) := by |
rw [bernsteinPolynomial]
suffices ((n + 1).choose (ν + 1) : R[X]) * ((↑(ν + 1 : ℕ) : R[X]) * X ^ ν) * (1 - X) ^ (n - ν) -
((n + 1).choose (ν + 1) : R[X]) * X ^ (ν + 1) * ((↑(n - ν) : R[X]) * (1 - X) ^ (n - ν - 1)) =
(↑(n + 1) : R[X]) * ((n.choose ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν) -
(n.choose (ν + 1) : R[X]) * X ^ (ν + 1) * (1 - X) ^ (n - (ν + 1))) by
simpa [Polynomial.derivative_pow, ← sub_eq_add_neg, Nat.succ_sub_succ_eq_sub,
Polynomial.derivative_mul, Polynomial.derivative_natCast, zero_mul,
Nat.cast_add, algebraMap.coe_one, Polynomial.derivative_X, mul_one, zero_add,
Polynomial.derivative_sub, Polynomial.derivative_one, zero_sub, mul_neg, Nat.sub_zero,
bernsteinPolynomial, map_add, map_natCast, Nat.cast_one]
conv_rhs => rw [mul_sub]
-- We'll prove the two terms match up separately.
refine congr (congr_arg Sub.sub ?_) ?_
· simp only [← mul_assoc]
apply congr (congr_arg (· * ·) (congr (congr_arg (· * ·) _) rfl)) rfl
-- Now it's just about binomial coefficients
exact mod_cast congr_arg (fun m : ℕ => (m : R[X])) (Nat.succ_mul_choose_eq n ν).symm
· rw [← tsub_add_eq_tsub_tsub, ← mul_assoc, ← mul_assoc]; congr 1
rw [mul_comm, ← mul_assoc, ← mul_assoc]; congr 1
norm_cast
congr 1
convert (Nat.choose_mul_succ_eq n (ν + 1)).symm using 1
· -- Porting note: was
-- convert mul_comm _ _ using 2
-- simp
rw [mul_comm, Nat.succ_sub_succ_eq_sub]
· apply mul_comm
| 27 |
import Mathlib.Analysis.Calculus.TangentCone
import Mathlib.Analysis.NormedSpace.OperatorNorm.Asymptotics
#align_import analysis.calculus.fderiv.basic from "leanprover-community/mathlib"@"41bef4ae1254365bc190aee63b947674d2977f01"
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Filter Asymptotics ENNReal
noncomputable section
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G']
@[mk_iff hasFDerivAtFilter_iff_isLittleO]
structure HasFDerivAtFilter (f : E → F) (f' : E →L[𝕜] F) (x : E) (L : Filter E) : Prop where
of_isLittleO :: isLittleO : (fun x' => f x' - f x - f' (x' - x)) =o[L] fun x' => x' - x
#align has_fderiv_at_filter HasFDerivAtFilter
@[fun_prop]
def HasFDerivWithinAt (f : E → F) (f' : E →L[𝕜] F) (s : Set E) (x : E) :=
HasFDerivAtFilter f f' x (𝓝[s] x)
#align has_fderiv_within_at HasFDerivWithinAt
@[fun_prop]
def HasFDerivAt (f : E → F) (f' : E →L[𝕜] F) (x : E) :=
HasFDerivAtFilter f f' x (𝓝 x)
#align has_fderiv_at HasFDerivAt
@[fun_prop]
def HasStrictFDerivAt (f : E → F) (f' : E →L[𝕜] F) (x : E) :=
(fun p : E × E => f p.1 - f p.2 - f' (p.1 - p.2)) =o[𝓝 (x, x)] fun p : E × E => p.1 - p.2
#align has_strict_fderiv_at HasStrictFDerivAt
variable (𝕜)
@[fun_prop]
def DifferentiableWithinAt (f : E → F) (s : Set E) (x : E) :=
∃ f' : E →L[𝕜] F, HasFDerivWithinAt f f' s x
#align differentiable_within_at DifferentiableWithinAt
@[fun_prop]
def DifferentiableAt (f : E → F) (x : E) :=
∃ f' : E →L[𝕜] F, HasFDerivAt f f' x
#align differentiable_at DifferentiableAt
irreducible_def fderivWithin (f : E → F) (s : Set E) (x : E) : E →L[𝕜] F :=
if 𝓝[s \ {x}] x = ⊥ then 0 else
if h : ∃ f', HasFDerivWithinAt f f' s x then Classical.choose h else 0
#align fderiv_within fderivWithin
irreducible_def fderiv (f : E → F) (x : E) : E →L[𝕜] F :=
if h : ∃ f', HasFDerivAt f f' x then Classical.choose h else 0
#align fderiv fderiv
@[fun_prop]
def DifferentiableOn (f : E → F) (s : Set E) :=
∀ x ∈ s, DifferentiableWithinAt 𝕜 f s x
#align differentiable_on DifferentiableOn
@[fun_prop]
def Differentiable (f : E → F) :=
∀ x, DifferentiableAt 𝕜 f x
#align differentiable Differentiable
variable {𝕜}
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}
theorem fderivWithin_zero_of_isolated (h : 𝓝[s \ {x}] x = ⊥) : fderivWithin 𝕜 f s x = 0 := by
rw [fderivWithin, if_pos h]
theorem fderivWithin_zero_of_nmem_closure (h : x ∉ closure s) : fderivWithin 𝕜 f s x = 0 := by
apply fderivWithin_zero_of_isolated
simp only [mem_closure_iff_nhdsWithin_neBot, neBot_iff, Ne, Classical.not_not] at h
rw [eq_bot_iff, ← h]
exact nhdsWithin_mono _ diff_subset
theorem fderivWithin_zero_of_not_differentiableWithinAt (h : ¬DifferentiableWithinAt 𝕜 f s x) :
fderivWithin 𝕜 f s x = 0 := by
have : ¬∃ f', HasFDerivWithinAt f f' s x := h
simp [fderivWithin, this]
#align fderiv_within_zero_of_not_differentiable_within_at fderivWithin_zero_of_not_differentiableWithinAt
theorem fderiv_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : fderiv 𝕜 f x = 0 := by
have : ¬∃ f', HasFDerivAt f f' x := h
simp [fderiv, this]
#align fderiv_zero_of_not_differentiable_at fderiv_zero_of_not_differentiableAt
section DerivativeUniqueness
| Mathlib/Analysis/Calculus/FDeriv/Basic.lean | 246 | 276 | theorem HasFDerivWithinAt.lim (h : HasFDerivWithinAt f f' s x) {α : Type*} (l : Filter α)
{c : α → 𝕜} {d : α → E} {v : E} (dtop : ∀ᶠ n in l, x + d n ∈ s)
(clim : Tendsto (fun n => ‖c n‖) l atTop) (cdlim : Tendsto (fun n => c n • d n) l (𝓝 v)) :
Tendsto (fun n => c n • (f (x + d n) - f x)) l (𝓝 (f' v)) := by |
have tendsto_arg : Tendsto (fun n => x + d n) l (𝓝[s] x) := by
conv in 𝓝[s] x => rw [← add_zero x]
rw [nhdsWithin, tendsto_inf]
constructor
· apply tendsto_const_nhds.add (tangentConeAt.lim_zero l clim cdlim)
· rwa [tendsto_principal]
have : (fun y => f y - f x - f' (y - x)) =o[𝓝[s] x] fun y => y - x := h.isLittleO
have : (fun n => f (x + d n) - f x - f' (x + d n - x)) =o[l] fun n => x + d n - x :=
this.comp_tendsto tendsto_arg
have : (fun n => f (x + d n) - f x - f' (d n)) =o[l] d := by simpa only [add_sub_cancel_left]
have : (fun n => c n • (f (x + d n) - f x - f' (d n))) =o[l] fun n => c n • d n :=
(isBigO_refl c l).smul_isLittleO this
have : (fun n => c n • (f (x + d n) - f x - f' (d n))) =o[l] fun _ => (1 : ℝ) :=
this.trans_isBigO (cdlim.isBigO_one ℝ)
have L1 : Tendsto (fun n => c n • (f (x + d n) - f x - f' (d n))) l (𝓝 0) :=
(isLittleO_one_iff ℝ).1 this
have L2 : Tendsto (fun n => f' (c n • d n)) l (𝓝 (f' v)) :=
Tendsto.comp f'.cont.continuousAt cdlim
have L3 :
Tendsto (fun n => c n • (f (x + d n) - f x - f' (d n)) + f' (c n • d n)) l (𝓝 (0 + f' v)) :=
L1.add L2
have :
(fun n => c n • (f (x + d n) - f x - f' (d n)) + f' (c n • d n)) = fun n =>
c n • (f (x + d n) - f x) := by
ext n
simp [smul_add, smul_sub]
rwa [this, zero_add] at L3
| 27 |
import Mathlib.Geometry.Manifold.MFDeriv.UniqueDifferential
import Mathlib.Geometry.Manifold.ContMDiffMap
#align_import geometry.manifold.cont_mdiff_mfderiv from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833"
open Set Function Filter ChartedSpace SmoothManifoldWithCorners Bundle
open scoped Topology Manifold Bundle
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]
[Is : 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']
[I's : SmoothManifoldWithCorners I' M']
-- declare a smooth manifold `N` over the pair `(F, G)`.
{F : Type*}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [TopologicalSpace G]
{J : ModelWithCorners 𝕜 F G} {N : Type*} [TopologicalSpace N] [ChartedSpace G N]
[Js : SmoothManifoldWithCorners J N]
-- declare a smooth manifold `N'` over the pair `(F', G')`.
{F' : Type*}
[NormedAddCommGroup F'] [NormedSpace 𝕜 F'] {G' : Type*} [TopologicalSpace G']
{J' : ModelWithCorners 𝕜 F' G'} {N' : Type*} [TopologicalSpace N'] [ChartedSpace G' N']
[J's : SmoothManifoldWithCorners J' N']
-- declare some additional normed spaces, used for fibers of vector bundles
{F₁ : Type*}
[NormedAddCommGroup F₁] [NormedSpace 𝕜 F₁] {F₂ : Type*} [NormedAddCommGroup F₂]
[NormedSpace 𝕜 F₂]
-- declare functions, sets, points and smoothness indices
{f f₁ : M → M'}
{s s₁ t : Set M} {x : M} {m n : ℕ∞}
-- Porting note: section about deducing differentiability from smoothness moved to
-- `Geometry.Manifold.MFDeriv.Basic`
namespace TangentBundle
variable (I M)
open Bundle
| Mathlib/Geometry/Manifold/ContMDiffMFDeriv.lean | 571 | 599 | theorem tangentMap_tangentBundle_pure (p : TangentBundle I M) :
tangentMap I I.tangent (zeroSection E (TangentSpace I)) p = ⟨⟨p.proj, 0⟩, ⟨p.2, 0⟩⟩ := by |
rcases p with ⟨x, v⟩
have N : I.symm ⁻¹' (chartAt H x).target ∈ 𝓝 (I ((chartAt H x) x)) := by
apply IsOpen.mem_nhds
· apply (PartialHomeomorph.open_target _).preimage I.continuous_invFun
· simp only [mfld_simps]
have A : MDifferentiableAt I I.tangent (fun x => @TotalSpace.mk M E (TangentSpace I) x 0) x :=
haveI : Smooth I (I.prod 𝓘(𝕜, E)) (zeroSection E (TangentSpace I : M → Type _)) :=
Bundle.smooth_zeroSection 𝕜 (TangentSpace I : M → Type _)
this.mdifferentiableAt
have B : fderivWithin 𝕜 (fun x' : E ↦ (x', (0 : E))) (Set.range I) (I ((chartAt H x) x)) v
= (v, 0) := by
rw [fderivWithin_eq_fderiv, DifferentiableAt.fderiv_prod]
· simp
· exact differentiableAt_id'
· exact differentiableAt_const _
· exact ModelWithCorners.unique_diff_at_image I
· exact differentiableAt_id'.prod (differentiableAt_const _)
simp (config := { unfoldPartialApp := true }) only [Bundle.zeroSection, tangentMap, mfderiv, A,
if_pos, chartAt, FiberBundle.chartedSpace_chartAt, TangentBundle.trivializationAt_apply,
tangentBundleCore, Function.comp_def, ContinuousLinearMap.map_zero, mfld_simps]
rw [← fderivWithin_inter N] at B
rw [← fderivWithin_inter N, ← B]
congr 1
refine fderivWithin_congr (fun y hy => ?_) ?_
· simp only [mfld_simps] at hy
simp only [hy, Prod.mk.inj_iff, mfld_simps]
· simp only [Prod.mk.inj_iff, mfld_simps]
| 27 |
import Mathlib.NumberTheory.Cyclotomic.Embeddings
import Mathlib.NumberTheory.Cyclotomic.Rat
import Mathlib.NumberTheory.NumberField.Units.DirichletTheorem
open NumberField Units InfinitePlace nonZeroDivisors Polynomial
namespace IsCyclotomicExtension.Rat.Three
variable {K : Type*} [Field K] [NumberField K] [IsCyclotomicExtension {3} ℚ K]
variable {ζ : K} (hζ : IsPrimitiveRoot ζ ↑(3 : ℕ+)) (u : (𝓞 K)ˣ)
local notation3 "η" => (IsPrimitiveRoot.isUnit (hζ.toInteger_isPrimitiveRoot) (by decide)).unit
local notation3 "λ" => (η : 𝓞 K) - 1
-- Here `List` is more convenient than `Finset`, even if further from the informal statement.
-- For example, `fin_cases` below does not work with a `Finset`.
| Mathlib/NumberTheory/Cyclotomic/Three.lean | 41 | 68 | theorem Units.mem : u ∈ [1, -1, η, -η, η ^ 2, -η ^ 2] := by |
have hrank : rank K = 0 := by
dsimp only [rank]
rw [card_eq_nrRealPlaces_add_nrComplexPlaces, nrRealPlaces_eq_zero (n := 3) K (by decide),
zero_add, nrComplexPlaces_eq_totient_div_two (n := 3)]
rfl
obtain ⟨⟨x, e⟩, hxu, -⟩ := exist_unique_eq_mul_prod _ u
replace hxu : u = x := by
rw [← mul_one x.1, hxu]
apply congr_arg
rw [← Finset.prod_empty]
congr
rw [Finset.univ_eq_empty_iff, hrank]
infer_instance
obtain ⟨n, hnpos, hn⟩ := isOfFinOrder_iff_pow_eq_one.1 <| (CommGroup.mem_torsion _ _).1 x.2
replace hn : (↑u : K) ^ ((⟨n, hnpos⟩ : ℕ+) : ℕ) = 1 := by
rw [← map_pow]
convert map_one (algebraMap (𝓞 K) K)
rw_mod_cast [hxu, hn]
simp
obtain ⟨r, hr3, hru⟩ := hζ.exists_pow_or_neg_mul_pow_of_isOfFinOrder (by decide)
(isOfFinOrder_iff_pow_eq_one.2 ⟨n, hnpos, hn⟩)
replace hr : r ∈ Finset.Ico 0 3 := Finset.mem_Ico.2 ⟨by simp, hr3⟩
replace hru : ↑u = η ^ r ∨ ↑u = -η ^ r := by
rcases hru with (h | h)
· left; ext; exact h
· right; ext; exact h
fin_cases hr <;> rcases hru with (h | h) <;> simp [h]
| 27 |
import Mathlib.Analysis.Calculus.MeanValue
#align_import analysis.calculus.extend_deriv from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F]
[NormedSpace ℝ F]
open Filter Set Metric ContinuousLinearMap
open scoped Topology
attribute [local mono] Set.prod_mono
theorem has_fderiv_at_boundary_of_tendsto_fderiv {f : E → F} {s : Set E} {x : E} {f' : E →L[ℝ] F}
(f_diff : DifferentiableOn ℝ f s) (s_conv : Convex ℝ s) (s_open : IsOpen s)
(f_cont : ∀ y ∈ closure s, ContinuousWithinAt f s y)
(h : Tendsto (fun y => fderiv ℝ f y) (𝓝[s] x) (𝓝 f')) :
HasFDerivWithinAt f f' (closure s) x := by
classical
-- one can assume without loss of generality that `x` belongs to the closure of `s`, as the
-- statement is empty otherwise
by_cases hx : x ∉ closure s
· rw [← closure_closure] at hx; exact hasFDerivWithinAt_of_nmem_closure hx
push_neg at hx
rw [HasFDerivWithinAt, hasFDerivAtFilter_iff_isLittleO, Asymptotics.isLittleO_iff]
intro ε ε_pos
obtain ⟨δ, δ_pos, hδ⟩ : ∃ δ > 0, ∀ y ∈ s, dist y x < δ → ‖fderiv ℝ f y - f'‖ < ε := by
simpa [dist_zero_right] using tendsto_nhdsWithin_nhds.1 h ε ε_pos
set B := ball x δ
suffices ∀ y ∈ B ∩ closure s, ‖f y - f x - (f' y - f' x)‖ ≤ ε * ‖y - x‖ from
mem_nhdsWithin_iff.2 ⟨δ, δ_pos, fun y hy => by simpa using this y hy⟩
suffices
∀ p : E × E,
p ∈ closure ((B ∩ s) ×ˢ (B ∩ s)) → ‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖ by
rw [closure_prod_eq] at this
intro y y_in
apply this ⟨x, y⟩
have : B ∩ closure s ⊆ closure (B ∩ s) := isOpen_ball.inter_closure
exact ⟨this ⟨mem_ball_self δ_pos, hx⟩, this y_in⟩
have key : ∀ p : E × E, p ∈ (B ∩ s) ×ˢ (B ∩ s) →
‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖ := by
rintro ⟨u, v⟩ ⟨u_in, v_in⟩
have conv : Convex ℝ (B ∩ s) := (convex_ball _ _).inter s_conv
have diff : DifferentiableOn ℝ f (B ∩ s) := f_diff.mono inter_subset_right
have bound : ∀ z ∈ B ∩ s, ‖fderivWithin ℝ f (B ∩ s) z - f'‖ ≤ ε := by
intro z z_in
have h := hδ z
have : fderivWithin ℝ f (B ∩ s) z = fderiv ℝ f z := by
have op : IsOpen (B ∩ s) := isOpen_ball.inter s_open
rw [DifferentiableAt.fderivWithin _ (op.uniqueDiffOn z z_in)]
exact (diff z z_in).differentiableAt (IsOpen.mem_nhds op z_in)
rw [← this] at h
exact le_of_lt (h z_in.2 z_in.1)
simpa using conv.norm_image_sub_le_of_norm_fderivWithin_le' diff bound u_in v_in
rintro ⟨u, v⟩ uv_in
have f_cont' : ∀ y ∈ closure s, ContinuousWithinAt (f - ⇑f') s y := by
intro y y_in
exact Tendsto.sub (f_cont y y_in) f'.cont.continuousWithinAt
refine ContinuousWithinAt.closure_le uv_in ?_ ?_ key
all_goals
-- common start for both continuity proofs
have : (B ∩ s) ×ˢ (B ∩ s) ⊆ s ×ˢ s := by mono <;> exact inter_subset_right
obtain ⟨u_in, v_in⟩ : u ∈ closure s ∧ v ∈ closure s := by
simpa [closure_prod_eq] using closure_mono this uv_in
apply ContinuousWithinAt.mono _ this
simp only [ContinuousWithinAt]
· rw [nhdsWithin_prod_eq]
have : ∀ u v, f v - f u - (f' v - f' u) = f v - f' v - (f u - f' u) := by intros; abel
simp only [this]
exact
Tendsto.comp continuous_norm.continuousAt
((Tendsto.comp (f_cont' v v_in) tendsto_snd).sub <|
Tendsto.comp (f_cont' u u_in) tendsto_fst)
· apply tendsto_nhdsWithin_of_tendsto_nhds
rw [nhds_prod_eq]
exact
tendsto_const_nhds.mul
(Tendsto.comp continuous_norm.continuousAt <| tendsto_snd.sub tendsto_fst)
#align has_fderiv_at_boundary_of_tendsto_fderiv has_fderiv_at_boundary_of_tendsto_fderiv
| Mathlib/Analysis/Calculus/FDeriv/Extend.lean | 111 | 140 | theorem has_deriv_at_interval_left_endpoint_of_tendsto_deriv {s : Set ℝ} {e : E} {a : ℝ} {f : ℝ → E}
(f_diff : DifferentiableOn ℝ f s) (f_lim : ContinuousWithinAt f s a) (hs : s ∈ 𝓝[>] a)
(f_lim' : Tendsto (fun x => deriv f x) (𝓝[>] a) (𝓝 e)) : HasDerivWithinAt f e (Ici a) a := by |
/- This is a specialization of `has_fderiv_at_boundary_of_tendsto_fderiv`. To be in the setting of
this theorem, we need to work on an open interval with closure contained in `s ∪ {a}`, that we
call `t = (a, b)`. Then, we check all the assumptions of this theorem and we apply it. -/
obtain ⟨b, ab : a < b, sab : Ioc a b ⊆ s⟩ := mem_nhdsWithin_Ioi_iff_exists_Ioc_subset.1 hs
let t := Ioo a b
have ts : t ⊆ s := Subset.trans Ioo_subset_Ioc_self sab
have t_diff : DifferentiableOn ℝ f t := f_diff.mono ts
have t_conv : Convex ℝ t := convex_Ioo a b
have t_open : IsOpen t := isOpen_Ioo
have t_closure : closure t = Icc a b := closure_Ioo ab.ne
have t_cont : ∀ y ∈ closure t, ContinuousWithinAt f t y := by
rw [t_closure]
intro y hy
by_cases h : y = a
· rw [h]; exact f_lim.mono ts
· have : y ∈ s := sab ⟨lt_of_le_of_ne hy.1 (Ne.symm h), hy.2⟩
exact (f_diff.continuousOn y this).mono ts
have t_diff' : Tendsto (fun x => fderiv ℝ f x) (𝓝[t] a) (𝓝 (smulRight (1 : ℝ →L[ℝ] ℝ) e)) := by
simp only [deriv_fderiv.symm]
exact Tendsto.comp
(isBoundedBilinearMap_smulRight : IsBoundedBilinearMap ℝ _).continuous_right.continuousAt
(tendsto_nhdsWithin_mono_left Ioo_subset_Ioi_self f_lim')
-- now we can apply `has_fderiv_at_boundary_of_differentiable`
have : HasDerivWithinAt f e (Icc a b) a := by
rw [hasDerivWithinAt_iff_hasFDerivWithinAt, ← t_closure]
exact has_fderiv_at_boundary_of_tendsto_fderiv t_diff t_conv t_open t_cont t_diff'
exact this.mono_of_mem (Icc_mem_nhdsWithin_Ici <| left_mem_Ico.2 ab)
| 27 |
import Mathlib.CategoryTheory.GlueData
import Mathlib.Topology.Category.TopCat.Limits.Pullbacks
import Mathlib.Topology.Category.TopCat.Opens
import Mathlib.Tactic.Generalize
import Mathlib.CategoryTheory.Elementwise
#align_import topology.gluing from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1"
noncomputable section
open TopologicalSpace CategoryTheory
universe v u
open CategoryTheory.Limits
namespace TopCat
-- porting note (#5171): removed @[nolint has_nonempty_instance]
structure GlueData extends GlueData TopCat where
f_open : ∀ i j, OpenEmbedding (f i j)
f_mono := fun i j => (TopCat.mono_iff_injective _).mpr (f_open i j).toEmbedding.inj
set_option linter.uppercaseLean3 false in
#align Top.glue_data TopCat.GlueData
namespace GlueData
variable (D : GlueData.{u})
local notation "𝖣" => D.toGlueData
theorem π_surjective : Function.Surjective 𝖣.π :=
(TopCat.epi_iff_surjective 𝖣.π).mp inferInstance
set_option linter.uppercaseLean3 false in
#align Top.glue_data.π_surjective TopCat.GlueData.π_surjective
theorem isOpen_iff (U : Set 𝖣.glued) : IsOpen U ↔ ∀ i, IsOpen (𝖣.ι i ⁻¹' U) := by
delta CategoryTheory.GlueData.ι
simp_rw [← Multicoequalizer.ι_sigmaπ 𝖣.diagram]
rw [← (homeoOfIso (Multicoequalizer.isoCoequalizer 𝖣.diagram).symm).isOpen_preimage]
rw [coequalizer_isOpen_iff]
dsimp only [GlueData.diagram_l, GlueData.diagram_left, GlueData.diagram_r, GlueData.diagram_right,
parallelPair_obj_one]
rw [colimit_isOpen_iff.{_,u}] -- Porting note: changed `.{u}` to `.{_,u}`. fun fact: the proof
-- breaks down if this `rw` is merged with the `rw` above.
constructor
· intro h j; exact h ⟨j⟩
· intro h j; cases j; apply h
set_option linter.uppercaseLean3 false in
#align Top.glue_data.is_open_iff TopCat.GlueData.isOpen_iff
theorem ι_jointly_surjective (x : 𝖣.glued) : ∃ (i : _) (y : D.U i), 𝖣.ι i y = x :=
𝖣.ι_jointly_surjective (forget TopCat) x
set_option linter.uppercaseLean3 false in
#align Top.glue_data.ι_jointly_surjective TopCat.GlueData.ι_jointly_surjective
def Rel (a b : Σ i, ((D.U i : TopCat) : Type _)) : Prop :=
a = b ∨ ∃ x : D.V (a.1, b.1), D.f _ _ x = a.2 ∧ D.f _ _ (D.t _ _ x) = b.2
set_option linter.uppercaseLean3 false in
#align Top.glue_data.rel TopCat.GlueData.Rel
theorem rel_equiv : Equivalence D.Rel :=
⟨fun x => Or.inl (refl x), by
rintro a b (⟨⟨⟩⟩ | ⟨x, e₁, e₂⟩)
exacts [Or.inl rfl, Or.inr ⟨D.t _ _ x, e₂, by erw [← e₁, D.t_inv_apply]⟩], by
-- previous line now `erw` after #13170
rintro ⟨i, a⟩ ⟨j, b⟩ ⟨k, c⟩ (⟨⟨⟩⟩ | ⟨x, e₁, e₂⟩)
· exact id
rintro (⟨⟨⟩⟩ | ⟨y, e₃, e₄⟩)
· exact Or.inr ⟨x, e₁, e₂⟩
let z := (pullbackIsoProdSubtype (D.f j i) (D.f j k)).inv ⟨⟨_, _⟩, e₂.trans e₃.symm⟩
have eq₁ : (D.t j i) ((pullback.fst : _ ⟶ D.V (j, i)) z) = x := by
dsimp only [coe_of, z]
erw [pullbackIsoProdSubtype_inv_fst_apply, D.t_inv_apply]-- now `erw` after #13170
have eq₂ : (pullback.snd : _ ⟶ D.V _) z = y := pullbackIsoProdSubtype_inv_snd_apply _ _ _
clear_value z
right
use (pullback.fst : _ ⟶ D.V (i, k)) (D.t' _ _ _ z)
dsimp only at *
substs eq₁ eq₂ e₁ e₃ e₄
have h₁ : D.t' j i k ≫ pullback.fst ≫ D.f i k = pullback.fst ≫ D.t j i ≫ D.f i j := by
rw [← 𝖣.t_fac_assoc]; congr 1; exact pullback.condition
have h₂ : D.t' j i k ≫ pullback.fst ≫ D.t i k ≫ D.f k i = pullback.snd ≫ D.t j k ≫ D.f k j := by
rw [← 𝖣.t_fac_assoc]
apply @Epi.left_cancellation _ _ _ _ (D.t' k j i)
rw [𝖣.cocycle_assoc, 𝖣.t_fac_assoc, 𝖣.t_inv_assoc]
exact pullback.condition.symm
exact ⟨ContinuousMap.congr_fun h₁ z, ContinuousMap.congr_fun h₂ z⟩⟩
set_option linter.uppercaseLean3 false in
#align Top.glue_data.rel_equiv TopCat.GlueData.rel_equiv
open CategoryTheory.Limits.WalkingParallelPair
| Mathlib/Topology/Gluing.lean | 164 | 201 | theorem eqvGen_of_π_eq
-- Porting note: was `{x y : ∐ D.U} (h : 𝖣.π x = 𝖣.π y)`
{x y : sigmaObj (β := D.toGlueData.J) (C := TopCat) D.toGlueData.U}
(h : 𝖣.π x = 𝖣.π y) :
EqvGen
-- Porting note: was (Types.CoequalizerRel 𝖣.diagram.fstSigmaMap 𝖣.diagram.sndSigmaMap)
(Types.CoequalizerRel
(X := sigmaObj (β := D.toGlueData.diagram.L) (C := TopCat) (D.toGlueData.diagram).left)
(Y := sigmaObj (β := D.toGlueData.diagram.R) (C := TopCat) (D.toGlueData.diagram).right)
𝖣.diagram.fstSigmaMap 𝖣.diagram.sndSigmaMap)
x y := by |
delta GlueData.π Multicoequalizer.sigmaπ at h
-- Porting note: inlined `inferInstance` instead of leaving as a side goal.
replace h := (TopCat.mono_iff_injective (Multicoequalizer.isoCoequalizer 𝖣.diagram).inv).mp
inferInstance h
let diagram := parallelPair 𝖣.diagram.fstSigmaMap 𝖣.diagram.sndSigmaMap ⋙ forget _
have : colimit.ι diagram one x = colimit.ι diagram one y := by
dsimp only [coequalizer.π, ContinuousMap.toFun_eq_coe] at h
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [← ι_preservesColimitsIso_hom, forget_map_eq_coe, types_comp_apply, h]
simp
rfl
have :
(colimit.ι diagram _ ≫ colim.map _ ≫ (colimit.isoColimitCocone _).hom) _ =
(colimit.ι diagram _ ≫ colim.map _ ≫ (colimit.isoColimitCocone _).hom) _ :=
(congr_arg
(colim.map (diagramIsoParallelPair diagram).hom ≫
(colimit.isoColimitCocone (Types.coequalizerColimit _ _)).hom)
this :
_)
-- Porting note: was
-- simp only [eqToHom_refl, types_comp_apply, colimit.ι_map_assoc,
-- diagramIsoParallelPair_hom_app, colimit.isoColimitCocone_ι_hom, types_id_apply] at this
-- See https://github.com/leanprover-community/mathlib4/issues/5026
rw [colimit.ι_map_assoc, diagramIsoParallelPair_hom_app, eqToHom_refl,
colimit.isoColimitCocone_ι_hom, types_comp_apply, types_id_apply, types_comp_apply,
types_id_apply] at this
exact Quot.eq.1 this
| 27 |
import Mathlib.Analysis.SpecialFunctions.Exponential
import Mathlib.Combinatorics.Derangements.Finite
import Mathlib.Order.Filter.Basic
#align_import combinatorics.derangements.exponential from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter NormedSpace
open scoped Topology
| Mathlib/Combinatorics/Derangements/Exponential.lean | 24 | 52 | theorem numDerangements_tendsto_inv_e :
Tendsto (fun n => (numDerangements n : ℝ) / n.factorial) atTop (𝓝 (Real.exp (-1))) := by |
-- we show that d(n)/n! is the partial sum of exp(-1), but offset by 1.
-- this isn't entirely obvious, since we have to ensure that asc_factorial and
-- factorial interact in the right way, e.g., that k ≤ n always
let s : ℕ → ℝ := fun n => ∑ k ∈ Finset.range n, (-1 : ℝ) ^ k / k.factorial
suffices ∀ n : ℕ, (numDerangements n : ℝ) / n.factorial = s (n + 1) by
simp_rw [this]
-- shift the function by 1, and then use the fact that the partial sums
-- converge to the infinite sum
rw [tendsto_add_atTop_iff_nat
(f := fun n => ∑ k ∈ Finset.range n, (-1 : ℝ) ^ k / k.factorial) 1]
apply HasSum.tendsto_sum_nat
-- there's no specific lemma for ℝ that ∑ x^k/k! sums to exp(x), but it's
-- true in more general fields, so use that lemma
rw [Real.exp_eq_exp_ℝ]
exact expSeries_div_hasSum_exp ℝ (-1 : ℝ)
intro n
rw [← Int.cast_natCast, numDerangements_sum]
push_cast
rw [Finset.sum_div]
-- get down to individual terms
refine Finset.sum_congr (refl _) ?_
intro k hk
have h_le : k ≤ n := Finset.mem_range_succ_iff.mp hk
rw [Nat.ascFactorial_eq_div, add_tsub_cancel_of_le h_le]
push_cast [Nat.factorial_dvd_factorial h_le]
field_simp [Nat.factorial_ne_zero]
ring
| 27 |
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.LinearAlgebra.Determinant
import Mathlib.LinearAlgebra.Matrix.Diagonal
import Mathlib.LinearAlgebra.Matrix.Transvection
import Mathlib.MeasureTheory.Group.LIntegral
import Mathlib.MeasureTheory.Integral.Marginal
import Mathlib.MeasureTheory.Measure.Stieltjes
import Mathlib.MeasureTheory.Measure.Haar.OfBasis
#align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
assert_not_exists MeasureTheory.integral
noncomputable section
open scoped Classical
open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace
open ENNReal (ofReal)
open scoped ENNReal NNReal Topology
| Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean | 624 | 653 | theorem ae_restrict_of_ae_restrict_inter_Ioo {μ : Measure ℝ} [NoAtoms μ] {s : Set ℝ} {p : ℝ → Prop}
(h : ∀ a b, a ∈ s → b ∈ s → a < b → ∀ᵐ x ∂μ.restrict (s ∩ Ioo a b), p x) :
∀ᵐ x ∂μ.restrict s, p x := by |
/- By second-countability, we cover `s` by countably many intervals `(a, b)` (except maybe for
two endpoints, which don't matter since `μ` does not have any atom). -/
let T : s × s → Set ℝ := fun p => Ioo p.1 p.2
let u := ⋃ i : ↥s × ↥s, T i
have hfinite : (s \ u).Finite := s.finite_diff_iUnion_Ioo'
obtain ⟨A, A_count, hA⟩ :
∃ A : Set (↥s × ↥s), A.Countable ∧ ⋃ i ∈ A, T i = ⋃ i : ↥s × ↥s, T i :=
isOpen_iUnion_countable _ fun p => isOpen_Ioo
have : s ⊆ s \ u ∪ ⋃ p ∈ A, s ∩ T p := by
intro x hx
by_cases h'x : x ∈ ⋃ i : ↥s × ↥s, T i
· rw [← hA] at h'x
obtain ⟨p, pA, xp⟩ : ∃ p : ↥s × ↥s, p ∈ A ∧ x ∈ T p := by
simpa only [mem_iUnion, exists_prop, SetCoe.exists, exists_and_right] using h'x
right
exact mem_biUnion pA ⟨hx, xp⟩
· exact Or.inl ⟨hx, h'x⟩
apply ae_restrict_of_ae_restrict_of_subset this
rw [ae_restrict_union_iff, ae_restrict_biUnion_iff _ A_count]
constructor
· have : μ.restrict (s \ u) = 0 := by simp only [restrict_eq_zero, hfinite.measure_zero]
simp only [this, ae_zero, eventually_bot]
· rintro ⟨⟨a, as⟩, ⟨b, bs⟩⟩ -
dsimp [T]
rcases le_or_lt b a with (hba | hab)
· simp only [Ioo_eq_empty_of_le hba, inter_empty, restrict_empty, ae_zero, eventually_bot]
· exact h a b as bs hab
| 27 |
import Mathlib.Algebra.Field.Subfield
import Mathlib.Topology.Algebra.Field
import Mathlib.Topology.Algebra.UniformRing
#align_import topology.algebra.uniform_field from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open scoped Classical
open uniformity Topology
open Set UniformSpace UniformSpace.Completion Filter
variable (K : Type*) [Field K] [UniformSpace K]
local notation "hat" => Completion
class CompletableTopField extends T0Space K : Prop where
nice : ∀ F : Filter K, Cauchy F → 𝓝 0 ⊓ F = ⊥ → Cauchy (map (fun x => x⁻¹) F)
#align completable_top_field CompletableTopField
namespace UniformSpace
namespace Completion
instance (priority := 100) [T0Space K] : Nontrivial (hat K) :=
⟨⟨0, 1, fun h => zero_ne_one <| (uniformEmbedding_coe K).inj h⟩⟩
variable {K}
def hatInv : hat K → hat K :=
denseInducing_coe.extend fun x : K => (↑x⁻¹ : hat K)
#align uniform_space.completion.hat_inv UniformSpace.Completion.hatInv
theorem continuous_hatInv [CompletableTopField K] {x : hat K} (h : x ≠ 0) :
ContinuousAt hatInv x := by
refine denseInducing_coe.continuousAt_extend ?_
apply mem_of_superset (compl_singleton_mem_nhds h)
intro y y_ne
rw [mem_compl_singleton_iff] at y_ne
apply CompleteSpace.complete
have : (fun (x : K) => (↑x⁻¹: hat K)) =
((fun (y : K) => (↑y: hat K))∘(fun (x : K) => (x⁻¹ : K))) := by
unfold Function.comp
simp
rw [this, ← Filter.map_map]
apply Cauchy.map _ (Completion.uniformContinuous_coe K)
apply CompletableTopField.nice
· haveI := denseInducing_coe.comap_nhds_neBot y
apply cauchy_nhds.comap
rw [Completion.comap_coe_eq_uniformity]
· have eq_bot : 𝓝 (0 : hat K) ⊓ 𝓝 y = ⊥ := by
by_contra h
exact y_ne (eq_of_nhds_neBot <| neBot_iff.mpr h).symm
erw [denseInducing_coe.nhds_eq_comap (0 : K), ← Filter.comap_inf, eq_bot]
exact comap_bot
#align uniform_space.completion.continuous_hat_inv UniformSpace.Completion.continuous_hatInv
instance instInvCompletion : Inv (hat K) :=
⟨fun x => if x = 0 then 0 else hatInv x⟩
variable [TopologicalDivisionRing K]
theorem hatInv_extends {x : K} (h : x ≠ 0) : hatInv (x : hat K) = ↑(x⁻¹ : K) :=
denseInducing_coe.extend_eq_at ((continuous_coe K).continuousAt.comp (continuousAt_inv₀ h))
#align uniform_space.completion.hat_inv_extends UniformSpace.Completion.hatInv_extends
variable [CompletableTopField K]
@[norm_cast]
theorem coe_inv (x : K) : (x : hat K)⁻¹ = ((x⁻¹ : K) : hat K) := by
by_cases h : x = 0
· rw [h, inv_zero]
dsimp [Inv.inv]
norm_cast
simp
· conv_lhs => dsimp [Inv.inv]
rw [if_neg]
· exact hatInv_extends h
· exact fun H => h (denseEmbedding_coe.inj H)
#align uniform_space.completion.coe_inv UniformSpace.Completion.coe_inv
variable [UniformAddGroup K]
| Mathlib/Topology/Algebra/UniformField.lean | 126 | 153 | theorem mul_hatInv_cancel {x : hat K} (x_ne : x ≠ 0) : x * hatInv x = 1 := by |
haveI : T1Space (hat K) := T2Space.t1Space
let f := fun x : hat K => x * hatInv x
let c := (fun (x : K) => (x : hat K))
change f x = 1
have cont : ContinuousAt f x := by
letI : TopologicalSpace (hat K × hat K) := instTopologicalSpaceProd
have : ContinuousAt (fun y : hat K => ((y, hatInv y) : hat K × hat K)) x :=
continuous_id.continuousAt.prod (continuous_hatInv x_ne)
exact (_root_.continuous_mul.continuousAt.comp this : _)
have clo : x ∈ closure (c '' {0}ᶜ) := by
have := denseInducing_coe.dense x
rw [← image_univ, show (univ : Set K) = {0} ∪ {0}ᶜ from (union_compl_self _).symm,
image_union] at this
apply mem_closure_of_mem_closure_union this
rw [image_singleton]
exact compl_singleton_mem_nhds x_ne
have fxclo : f x ∈ closure (f '' (c '' {0}ᶜ)) := mem_closure_image cont clo
have : f '' (c '' {0}ᶜ) ⊆ {1} := by
rw [image_image]
rintro _ ⟨z, z_ne, rfl⟩
rw [mem_singleton_iff]
rw [mem_compl_singleton_iff] at z_ne
dsimp [f]
rw [hatInv_extends z_ne, ← coe_mul]
rw [mul_inv_cancel z_ne, coe_one]
replace fxclo := closure_mono this fxclo
rwa [closure_singleton, mem_singleton_iff] at fxclo
| 27 |
import Mathlib.Data.DFinsupp.Lex
import Mathlib.Order.GameAdd
import Mathlib.Order.Antisymmetrization
import Mathlib.SetTheory.Ordinal.Basic
import Mathlib.Tactic.AdaptationNote
#align_import data.dfinsupp.well_founded from "leanprover-community/mathlib"@"e9b8651eb1ad354f4de6be35a38ef31efcd2cfaa"
variable {ι : Type*} {α : ι → Type*}
namespace DFinsupp
open Relation Prod
section Zero
variable [∀ i, Zero (α i)] (r : ι → ι → Prop) (s : ∀ i, α i → α i → Prop)
| Mathlib/Data/DFinsupp/WellFounded.lean | 69 | 98 | theorem lex_fibration [∀ (i) (s : Set ι), Decidable (i ∈ s)] :
Fibration (InvImage (GameAdd (DFinsupp.Lex r s) (DFinsupp.Lex r s)) snd) (DFinsupp.Lex r s)
fun x => piecewise x.2.1 x.2.2 x.1 := by |
rintro ⟨p, x₁, x₂⟩ x ⟨i, hr, hs⟩
simp_rw [piecewise_apply] at hs hr
split_ifs at hs with hp
· refine ⟨⟨{ j | r j i → j ∈ p }, piecewise x₁ x { j | r j i }, x₂⟩,
.fst ⟨i, fun j hj ↦ ?_, ?_⟩, ?_⟩ <;> simp only [piecewise_apply, Set.mem_setOf_eq]
· simp only [if_pos hj]
· split_ifs with hi
· rwa [hr i hi, if_pos hp] at hs
· assumption
· ext1 j
simp only [piecewise_apply, Set.mem_setOf_eq]
split_ifs with h₁ h₂ <;> try rfl
· rw [hr j h₂, if_pos (h₁ h₂)]
· rw [Classical.not_imp] at h₁
rw [hr j h₁.1, if_neg h₁.2]
· refine ⟨⟨{ j | r j i ∧ j ∈ p }, x₁, piecewise x₂ x { j | r j i }⟩,
.snd ⟨i, fun j hj ↦ ?_, ?_⟩, ?_⟩ <;> simp only [piecewise_apply, Set.mem_setOf_eq]
· exact if_pos hj
· split_ifs with hi
· rwa [hr i hi, if_neg hp] at hs
· assumption
· ext1 j
simp only [piecewise_apply, Set.mem_setOf_eq]
split_ifs with h₁ h₂ <;> try rfl
· rw [hr j h₁.1, if_pos h₁.2]
· rw [hr j h₂, if_neg]
simpa [h₂] using h₁
| 27 |
import Mathlib.AlgebraicGeometry.Morphisms.QuasiCompact
import Mathlib.Topology.QuasiSeparated
#align_import algebraic_geometry.morphisms.quasi_separated from "leanprover-community/mathlib"@"1a51edf13debfcbe223fa06b1cb353b9ed9751cc"
noncomputable section
open CategoryTheory CategoryTheory.Limits Opposite TopologicalSpace
universe u
open scoped AlgebraicGeometry
namespace AlgebraicGeometry
variable {X Y : Scheme.{u}} (f : X ⟶ Y)
@[mk_iff]
class QuasiSeparated (f : X ⟶ Y) : Prop where
diagonalQuasiCompact : QuasiCompact (pullback.diagonal f) := by infer_instance
#align algebraic_geometry.quasi_separated AlgebraicGeometry.QuasiSeparated
def QuasiSeparated.affineProperty : AffineTargetMorphismProperty := fun X _ _ _ =>
QuasiSeparatedSpace X.carrier
#align algebraic_geometry.quasi_separated.affine_property AlgebraicGeometry.QuasiSeparated.affineProperty
theorem quasiSeparatedSpace_iff_affine (X : Scheme) :
QuasiSeparatedSpace X.carrier ↔ ∀ U V : X.affineOpens, IsCompact (U ∩ V : Set X.carrier) := by
rw [quasiSeparatedSpace_iff]
constructor
· intro H U V; exact H U V U.1.2 U.2.isCompact V.1.2 V.2.isCompact
· intro H
suffices
∀ (U : Opens X.carrier) (_ : IsCompact U.1) (V : Opens X.carrier) (_ : IsCompact V.1),
IsCompact (U ⊓ V).1
by intro U V hU hU' hV hV'; exact this ⟨U, hU⟩ hU' ⟨V, hV⟩ hV'
intro U hU V hV
-- Porting note: it complains "unable to find motive", but telling Lean that motive is
-- underscore is actually sufficient, weird
apply compact_open_induction_on (P := _) V hV
· simp
· intro S _ V hV
change IsCompact (U.1 ∩ (S.1 ∪ V.1))
rw [Set.inter_union_distrib_left]
apply hV.union
clear hV
apply compact_open_induction_on (P := _) U hU
· simp
· intro S _ W hW
change IsCompact ((S.1 ∪ W.1) ∩ V.1)
rw [Set.union_inter_distrib_right]
apply hW.union
apply H
#align algebraic_geometry.quasi_separated_space_iff_affine AlgebraicGeometry.quasiSeparatedSpace_iff_affine
| Mathlib/AlgebraicGeometry/Morphisms/QuasiSeparated.lean | 86 | 114 | theorem quasi_compact_affineProperty_iff_quasiSeparatedSpace {X Y : Scheme} [IsAffine Y]
(f : X ⟶ Y) : QuasiCompact.affineProperty.diagonal f ↔ QuasiSeparatedSpace X.carrier := by |
delta AffineTargetMorphismProperty.diagonal
rw [quasiSeparatedSpace_iff_affine]
constructor
· intro H U V
haveI : IsAffine _ := U.2
haveI : IsAffine _ := V.2
let g : pullback (X.ofRestrict U.1.openEmbedding) (X.ofRestrict V.1.openEmbedding) ⟶ X :=
pullback.fst ≫ X.ofRestrict _
-- Porting note: `inferInstance` does not work here
have : IsOpenImmersion g := PresheafedSpace.IsOpenImmersion.comp _ _
have e := Homeomorph.ofEmbedding _ this.base_open.toEmbedding
rw [IsOpenImmersion.range_pullback_to_base_of_left] at e
erw [Subtype.range_coe, Subtype.range_coe] at e
rw [isCompact_iff_compactSpace]
exact @Homeomorph.compactSpace _ _ _ _ (H _ _) e
· introv H h₁ h₂
let g : pullback f₁ f₂ ⟶ X := pullback.fst ≫ f₁
-- Porting note: `inferInstance` does not work here
have : IsOpenImmersion g := PresheafedSpace.IsOpenImmersion.comp _ _
have e := Homeomorph.ofEmbedding _ this.base_open.toEmbedding
rw [IsOpenImmersion.range_pullback_to_base_of_left] at e
simp_rw [isCompact_iff_compactSpace] at H
exact
@Homeomorph.compactSpace _ _ _ _
(H ⟨⟨_, h₁.base_open.isOpen_range⟩, rangeIsAffineOpenOfOpenImmersion _⟩
⟨⟨_, h₂.base_open.isOpen_range⟩, rangeIsAffineOpenOfOpenImmersion _⟩)
e.symm
| 27 |
import Mathlib.Order.SuccPred.Basic
import Mathlib.Topology.Order.Basic
import Mathlib.Topology.Metrizable.Uniformity
#align_import topology.instances.discrete from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4"
open Order Set TopologicalSpace Filter
variable {α : Type*} [TopologicalSpace α]
instance (priority := 100) DiscreteTopology.firstCountableTopology [DiscreteTopology α] :
FirstCountableTopology α where
nhds_generated_countable := by rw [nhds_discrete]; exact isCountablyGenerated_pure
#align discrete_topology.first_countable_topology DiscreteTopology.firstCountableTopology
instance (priority := 100) DiscreteTopology.secondCountableTopology_of_countable
[hd : DiscreteTopology α] [Countable α] : SecondCountableTopology α :=
haveI : ∀ i : α, SecondCountableTopology (↥({i} : Set α)) := fun i =>
{ is_open_generated_countable :=
⟨{univ}, countable_singleton _, by simp only [eq_iff_true_of_subsingleton]⟩ }
secondCountableTopology_of_countable_cover (singletons_open_iff_discrete.mpr hd)
(iUnion_of_singleton α)
#align discrete_topology.second_countable_topology_of_encodable DiscreteTopology.secondCountableTopology_of_countable
@[deprecated DiscreteTopology.secondCountableTopology_of_countable (since := "2024-03-11")]
theorem DiscreteTopology.secondCountableTopology_of_encodable {α : Type*}
[TopologicalSpace α] [DiscreteTopology α] [Countable α] : SecondCountableTopology α :=
DiscreteTopology.secondCountableTopology_of_countable
#align discrete_topology.second_countable_topology_of_countable DiscreteTopology.secondCountableTopology_of_countable
theorem bot_topologicalSpace_eq_generateFrom_of_pred_succOrder [PartialOrder α] [PredOrder α]
[SuccOrder α] [NoMinOrder α] [NoMaxOrder α] :
(⊥ : TopologicalSpace α) = generateFrom { s | ∃ a, s = Ioi a ∨ s = Iio a } := by
refine (eq_bot_of_singletons_open fun a => ?_).symm
have h_singleton_eq_inter : {a} = Iio (succ a) ∩ Ioi (pred a) := by
suffices h_singleton_eq_inter' : {a} = Iic a ∩ Ici a by
rw [h_singleton_eq_inter', ← Ioi_pred, ← Iio_succ]
rw [inter_comm, Ici_inter_Iic, Icc_self a]
rw [h_singleton_eq_inter]
letI := Preorder.topology α
apply IsOpen.inter
· exact isOpen_generateFrom_of_mem ⟨succ a, Or.inr rfl⟩
· exact isOpen_generateFrom_of_mem ⟨pred a, Or.inl rfl⟩
#align bot_topological_space_eq_generate_from_of_pred_succ_order bot_topologicalSpace_eq_generateFrom_of_pred_succOrder
theorem discreteTopology_iff_orderTopology_of_pred_succ' [PartialOrder α] [PredOrder α]
[SuccOrder α] [NoMinOrder α] [NoMaxOrder α] : DiscreteTopology α ↔ OrderTopology α := by
refine ⟨fun h => ⟨?_⟩, fun h => ⟨?_⟩⟩
· rw [h.eq_bot]
exact bot_topologicalSpace_eq_generateFrom_of_pred_succOrder
· rw [h.topology_eq_generate_intervals]
exact bot_topologicalSpace_eq_generateFrom_of_pred_succOrder.symm
#align discrete_topology_iff_order_topology_of_pred_succ' discreteTopology_iff_orderTopology_of_pred_succ'
instance (priority := 100) DiscreteTopology.orderTopology_of_pred_succ' [h : DiscreteTopology α]
[PartialOrder α] [PredOrder α] [SuccOrder α] [NoMinOrder α] [NoMaxOrder α] : OrderTopology α :=
discreteTopology_iff_orderTopology_of_pred_succ'.1 h
#align discrete_topology.order_topology_of_pred_succ' DiscreteTopology.orderTopology_of_pred_succ'
| Mathlib/Topology/Instances/Discrete.lean | 80 | 108 | theorem LinearOrder.bot_topologicalSpace_eq_generateFrom [LinearOrder α] [PredOrder α]
[SuccOrder α] : (⊥ : TopologicalSpace α) = generateFrom { s | ∃ a, s = Ioi a ∨ s = Iio a } := by |
refine (eq_bot_of_singletons_open fun a => ?_).symm
have h_singleton_eq_inter : {a} = Iic a ∩ Ici a := by rw [inter_comm, Ici_inter_Iic, Icc_self a]
by_cases ha_top : IsTop a
· rw [ha_top.Iic_eq, inter_comm, inter_univ] at h_singleton_eq_inter
by_cases ha_bot : IsBot a
· rw [ha_bot.Ici_eq] at h_singleton_eq_inter
rw [h_singleton_eq_inter]
-- Porting note: Specified instance for `isOpen_univ` explicitly to fix an error.
apply @isOpen_univ _ (generateFrom { s | ∃ a, s = Ioi a ∨ s = Iio a })
· rw [isBot_iff_isMin] at ha_bot
rw [← Ioi_pred_of_not_isMin ha_bot] at h_singleton_eq_inter
rw [h_singleton_eq_inter]
exact isOpen_generateFrom_of_mem ⟨pred a, Or.inl rfl⟩
· rw [isTop_iff_isMax] at ha_top
rw [← Iio_succ_of_not_isMax ha_top] at h_singleton_eq_inter
by_cases ha_bot : IsBot a
· rw [ha_bot.Ici_eq, inter_univ] at h_singleton_eq_inter
rw [h_singleton_eq_inter]
exact isOpen_generateFrom_of_mem ⟨succ a, Or.inr rfl⟩
· rw [isBot_iff_isMin] at ha_bot
rw [← Ioi_pred_of_not_isMin ha_bot] at h_singleton_eq_inter
rw [h_singleton_eq_inter]
-- Porting note: Specified instance for `IsOpen.inter` explicitly to fix an error.
letI := Preorder.topology α
apply IsOpen.inter
· exact isOpen_generateFrom_of_mem ⟨succ a, Or.inr rfl⟩
· exact isOpen_generateFrom_of_mem ⟨pred a, Or.inl rfl⟩
| 27 |
import Mathlib.Analysis.Analytic.IsolatedZeros
import Mathlib.Analysis.Complex.CauchyIntegral
import Mathlib.Analysis.Complex.AbsMax
#align_import analysis.complex.open_mapping from "leanprover-community/mathlib"@"f9dd3204df14a0749cd456fac1e6849dfe7d2b88"
open Set Filter Metric Complex
open scoped Topology
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] {U : Set E} {f : ℂ → ℂ} {g : E → ℂ}
{z₀ w : ℂ} {ε r m : ℝ}
theorem DiffContOnCl.ball_subset_image_closedBall (h : DiffContOnCl ℂ f (ball z₀ r)) (hr : 0 < r)
(hf : ∀ z ∈ sphere z₀ r, ε ≤ ‖f z - f z₀‖) (hz₀ : ∃ᶠ z in 𝓝 z₀, f z ≠ f z₀) :
ball (f z₀) (ε / 2) ⊆ f '' closedBall z₀ r := by
rintro v hv
have h1 : DiffContOnCl ℂ (fun z => f z - v) (ball z₀ r) := h.sub_const v
have h2 : ContinuousOn (fun z => ‖f z - v‖) (closedBall z₀ r) :=
continuous_norm.comp_continuousOn (closure_ball z₀ hr.ne.symm ▸ h1.continuousOn)
have h3 : AnalyticOn ℂ f (ball z₀ r) := h.differentiableOn.analyticOn isOpen_ball
have h4 : ∀ z ∈ sphere z₀ r, ε / 2 ≤ ‖f z - v‖ := fun z hz => by
linarith [hf z hz, show ‖v - f z₀‖ < ε / 2 from mem_ball.mp hv,
norm_sub_sub_norm_sub_le_norm_sub (f z) v (f z₀)]
have h5 : ‖f z₀ - v‖ < ε / 2 := by simpa [← dist_eq_norm, dist_comm] using mem_ball.mp hv
obtain ⟨z, hz1, hz2⟩ : ∃ z ∈ ball z₀ r, IsLocalMin (fun z => ‖f z - v‖) z :=
exists_isLocalMin_mem_ball h2 (mem_closedBall_self hr.le) fun z hz => h5.trans_le (h4 z hz)
refine ⟨z, ball_subset_closedBall hz1, sub_eq_zero.mp ?_⟩
have h6 := h1.differentiableOn.eventually_differentiableAt (isOpen_ball.mem_nhds hz1)
refine (eventually_eq_or_eq_zero_of_isLocalMin_norm h6 hz2).resolve_left fun key => ?_
have h7 : ∀ᶠ w in 𝓝 z, f w = f z := by filter_upwards [key] with h; field_simp
replace h7 : ∃ᶠ w in 𝓝[≠] z, f w = f z := (h7.filter_mono nhdsWithin_le_nhds).frequently
have h8 : IsPreconnected (ball z₀ r) := (convex_ball z₀ r).isPreconnected
have h9 := h3.eqOn_of_preconnected_of_frequently_eq analyticOn_const h8 hz1 h7
have h10 : f z = f z₀ := (h9 (mem_ball_self hr)).symm
exact not_eventually.mpr hz₀ (mem_of_superset (ball_mem_nhds z₀ hr) (h10 ▸ h9))
#align diff_cont_on_cl.ball_subset_image_closed_ball DiffContOnCl.ball_subset_image_closedBall
| Mathlib/Analysis/Complex/OpenMapping.lean | 77 | 106 | theorem AnalyticAt.eventually_constant_or_nhds_le_map_nhds_aux (hf : AnalyticAt ℂ f z₀) :
(∀ᶠ z in 𝓝 z₀, f z = f z₀) ∨ 𝓝 (f z₀) ≤ map f (𝓝 z₀) := by |
/- The function `f` is analytic in a neighborhood of `z₀`; by the isolated zeros principle, if `f`
is not constant in a neighborhood of `z₀`, then it is nonzero, and therefore bounded below, on
every small enough circle around `z₀` and then `DiffContOnCl.ball_subset_image_closedBall`
provides an explicit ball centered at `f z₀` contained in the range of `f`. -/
refine or_iff_not_imp_left.mpr fun h => ?_
refine (nhds_basis_ball.le_basis_iff (nhds_basis_closedBall.map f)).mpr fun R hR => ?_
have h1 := (hf.eventually_eq_or_eventually_ne analyticAt_const).resolve_left h
have h2 : ∀ᶠ z in 𝓝 z₀, AnalyticAt ℂ f z := (isOpen_analyticAt ℂ f).eventually_mem hf
obtain ⟨ρ, hρ, h3, h4⟩ :
∃ ρ > 0, AnalyticOn ℂ f (closedBall z₀ ρ) ∧ ∀ z ∈ closedBall z₀ ρ, z ≠ z₀ → f z ≠ f z₀ := by
simpa only [setOf_and, subset_inter_iff] using
nhds_basis_closedBall.mem_iff.mp (h2.and (eventually_nhdsWithin_iff.mp h1))
replace h3 : DiffContOnCl ℂ f (ball z₀ ρ) :=
⟨h3.differentiableOn.mono ball_subset_closedBall,
(closure_ball z₀ hρ.lt.ne.symm).symm ▸ h3.continuousOn⟩
let r := ρ ⊓ R
have hr : 0 < r := lt_inf_iff.mpr ⟨hρ, hR⟩
have h5 : closedBall z₀ r ⊆ closedBall z₀ ρ := closedBall_subset_closedBall inf_le_left
have h6 : DiffContOnCl ℂ f (ball z₀ r) := h3.mono (ball_subset_ball inf_le_left)
have h7 : ∀ z ∈ sphere z₀ r, f z ≠ f z₀ := fun z hz =>
h4 z (h5 (sphere_subset_closedBall hz)) (ne_of_mem_sphere hz hr.ne.symm)
have h8 : (sphere z₀ r).Nonempty := NormedSpace.sphere_nonempty.mpr hr.le
have h9 : ContinuousOn (fun x => ‖f x - f z₀‖) (sphere z₀ r) := continuous_norm.comp_continuousOn
((h6.sub_const (f z₀)).continuousOn_ball.mono sphere_subset_closedBall)
obtain ⟨x, hx, hfx⟩ := (isCompact_sphere z₀ r).exists_isMinOn h8 h9
refine ⟨‖f x - f z₀‖ / 2, half_pos (norm_sub_pos_iff.mpr (h7 x hx)), ?_⟩
exact (h6.ball_subset_image_closedBall hr (fun z hz => hfx hz) (not_eventually.mp h)).trans
(image_subset f (closedBall_subset_closedBall inf_le_right))
| 28 |
import Mathlib.Data.Nat.Choose.Dvd
import Mathlib.RingTheory.IntegrallyClosed
import Mathlib.RingTheory.Norm
import Mathlib.RingTheory.Polynomial.Cyclotomic.Expand
#align_import ring_theory.polynomial.eisenstein.is_integral from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32"
universe u v w z
variable {R : Type u}
open Ideal Algebra Finset
open scoped Polynomial
section Cyclotomic
variable (p : ℕ)
local notation "𝓟" => Submodule.span ℤ {(p : ℤ)}
open Polynomial
| Mathlib/RingTheory/Polynomial/Eisenstein/IsIntegral.lean | 44 | 73 | theorem cyclotomic_comp_X_add_one_isEisensteinAt [hp : Fact p.Prime] :
((cyclotomic p ℤ).comp (X + 1)).IsEisensteinAt 𝓟 := by |
refine Monic.isEisensteinAt_of_mem_of_not_mem ?_
(Ideal.IsPrime.ne_top <| (Ideal.span_singleton_prime (mod_cast hp.out.ne_zero)).2 <|
Nat.prime_iff_prime_int.1 hp.out) (fun {i hi} => ?_) ?_
· rw [show (X + 1 : ℤ[X]) = X + C 1 by simp]
refine (cyclotomic.monic p ℤ).comp (monic_X_add_C 1) fun h => ?_
rw [natDegree_X_add_C] at h
exact zero_ne_one h.symm
· rw [cyclotomic_prime, geom_sum_X_comp_X_add_one_eq_sum, ← lcoeff_apply, map_sum]
conv =>
congr
congr
next => skip
ext
rw [lcoeff_apply, ← C_eq_natCast, C_mul_X_pow_eq_monomial, coeff_monomial]
rw [natDegree_comp, show (X + 1 : ℤ[X]) = X + C 1 by simp, natDegree_X_add_C, mul_one,
natDegree_cyclotomic, Nat.totient_prime hp.out] at hi
simp only [hi.trans_le (Nat.sub_le _ _), sum_ite_eq', mem_range, if_true,
Ideal.submodule_span_eq, Ideal.mem_span_singleton, Int.natCast_dvd_natCast]
exact hp.out.dvd_choose_self i.succ_ne_zero (lt_tsub_iff_right.1 hi)
· rw [coeff_zero_eq_eval_zero, eval_comp, cyclotomic_prime, eval_add, eval_X, eval_one, zero_add,
eval_geom_sum, one_geom_sum, Ideal.submodule_span_eq, Ideal.span_singleton_pow,
Ideal.mem_span_singleton]
intro h
obtain ⟨k, hk⟩ := Int.natCast_dvd_natCast.1 h
rw [mul_assoc, mul_comm 1, mul_one] at hk
nth_rw 1 [← Nat.mul_one p] at hk
rw [mul_right_inj' hp.out.ne_zero] at hk
exact Nat.Prime.not_dvd_one hp.out (Dvd.intro k hk.symm)
| 28 |
import Mathlib.MeasureTheory.Measure.Regular
import Mathlib.Topology.Semicontinuous
import Mathlib.MeasureTheory.Integral.Bochner
import Mathlib.Topology.Instances.EReal
#align_import measure_theory.integral.vitali_caratheodory from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2"
open scoped ENNReal NNReal
open MeasureTheory MeasureTheory.Measure
variable {α : Type*} [TopologicalSpace α] [MeasurableSpace α] [BorelSpace α] (μ : Measure α)
[WeaklyRegular μ]
namespace MeasureTheory
local infixr:25 " →ₛ " => SimpleFunc
theorem SimpleFunc.exists_le_lowerSemicontinuous_lintegral_ge (f : α →ₛ ℝ≥0) {ε : ℝ≥0∞}
(ε0 : ε ≠ 0) :
∃ g : α → ℝ≥0, (∀ x, f x ≤ g x) ∧ LowerSemicontinuous g ∧
(∫⁻ x, g x ∂μ) ≤ (∫⁻ x, f x ∂μ) + ε := by
induction' f using MeasureTheory.SimpleFunc.induction with c s hs f₁ f₂ _ h₁ h₂ generalizing ε
· let f := SimpleFunc.piecewise s hs (SimpleFunc.const α c) (SimpleFunc.const α 0)
by_cases h : ∫⁻ x, f x ∂μ = ⊤
· refine
⟨fun _ => c, fun x => ?_, lowerSemicontinuous_const, by
simp only [_root_.top_add, le_top, h]⟩
simp only [SimpleFunc.coe_const, SimpleFunc.const_zero, SimpleFunc.coe_zero,
Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise]
exact Set.indicator_le_self _ _ _
by_cases hc : c = 0
· refine ⟨fun _ => 0, ?_, lowerSemicontinuous_const, ?_⟩
· classical
simp only [hc, Set.indicator_zero', Pi.zero_apply, SimpleFunc.const_zero, imp_true_iff,
eq_self_iff_true, SimpleFunc.coe_zero, Set.piecewise_eq_indicator,
SimpleFunc.coe_piecewise, le_zero_iff]
· simp only [lintegral_const, zero_mul, zero_le, ENNReal.coe_zero]
have ne_top : μ s ≠ ⊤ := by
classical
simpa [f, hs, hc, lt_top_iff_ne_top, true_and_iff, SimpleFunc.coe_const,
Function.const_apply, lintegral_const, ENNReal.coe_indicator, Set.univ_inter,
ENNReal.coe_ne_top, MeasurableSet.univ, ENNReal.mul_eq_top, SimpleFunc.const_zero,
or_false_iff, lintegral_indicator, ENNReal.coe_eq_zero, Ne, not_false_iff,
SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise, false_and_iff,
restrict_apply] using h
have : μ s < μ s + ε / c := by
have : (0 : ℝ≥0∞) < ε / c := ENNReal.div_pos_iff.2 ⟨ε0, ENNReal.coe_ne_top⟩
simpa using ENNReal.add_lt_add_left ne_top this
obtain ⟨u, su, u_open, μu⟩ : ∃ (u : _), u ⊇ s ∧ IsOpen u ∧ μ u < μ s + ε / c :=
s.exists_isOpen_lt_of_lt _ this
refine ⟨Set.indicator u fun _ => c,
fun x => ?_, u_open.lowerSemicontinuous_indicator (zero_le _), ?_⟩
· simp only [SimpleFunc.coe_const, SimpleFunc.const_zero, SimpleFunc.coe_zero,
Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise]
exact Set.indicator_le_indicator_of_subset su (fun x => zero_le _) _
· suffices (c : ℝ≥0∞) * μ u ≤ c * μ s + ε by
classical
simpa only [ENNReal.coe_indicator, u_open.measurableSet, lintegral_indicator,
lintegral_const, MeasurableSet.univ, Measure.restrict_apply, Set.univ_inter, const_zero,
coe_piecewise, coe_const, coe_zero, Set.piecewise_eq_indicator, Function.const_apply, hs]
calc
(c : ℝ≥0∞) * μ u ≤ c * (μ s + ε / c) := mul_le_mul_left' μu.le _
_ = c * μ s + ε := by
simp_rw [mul_add]
rw [ENNReal.mul_div_cancel' _ ENNReal.coe_ne_top]
simpa using hc
· rcases h₁ (ENNReal.half_pos ε0).ne' with ⟨g₁, f₁_le_g₁, g₁cont, g₁int⟩
rcases h₂ (ENNReal.half_pos ε0).ne' with ⟨g₂, f₂_le_g₂, g₂cont, g₂int⟩
refine
⟨fun x => g₁ x + g₂ x, fun x => add_le_add (f₁_le_g₁ x) (f₂_le_g₂ x), g₁cont.add g₂cont, ?_⟩
simp only [SimpleFunc.coe_add, ENNReal.coe_add, Pi.add_apply]
rw [lintegral_add_left f₁.measurable.coe_nnreal_ennreal,
lintegral_add_left g₁cont.measurable.coe_nnreal_ennreal]
convert add_le_add g₁int g₂int using 1
conv_lhs => rw [← ENNReal.add_halves ε]
abel
#align measure_theory.simple_func.exists_le_lower_semicontinuous_lintegral_ge MeasureTheory.SimpleFunc.exists_le_lowerSemicontinuous_lintegral_ge
-- Porting note: errors with
-- `ambiguous identifier 'eapproxDiff', possible interpretations:`
-- `[SimpleFunc.eapproxDiff, SimpleFunc.eapproxDiff]`
-- open SimpleFunc (eapproxDiff tsum_eapproxDiff)
| Mathlib/MeasureTheory/Integral/VitaliCaratheodory.lean | 164 | 195 | theorem exists_le_lowerSemicontinuous_lintegral_ge (f : α → ℝ≥0∞) (hf : Measurable f) {ε : ℝ≥0∞}
(εpos : ε ≠ 0) :
∃ g : α → ℝ≥0∞,
(∀ x, f x ≤ g x) ∧ LowerSemicontinuous g ∧ (∫⁻ x, g x ∂μ) ≤ (∫⁻ x, f x ∂μ) + ε := by |
rcases ENNReal.exists_pos_sum_of_countable' εpos ℕ with ⟨δ, δpos, hδ⟩
have :
∀ n,
∃ g : α → ℝ≥0,
(∀ x, SimpleFunc.eapproxDiff f n x ≤ g x) ∧
LowerSemicontinuous g ∧
(∫⁻ x, g x ∂μ) ≤ (∫⁻ x, SimpleFunc.eapproxDiff f n x ∂μ) + δ n :=
fun n =>
SimpleFunc.exists_le_lowerSemicontinuous_lintegral_ge μ (SimpleFunc.eapproxDiff f n)
(δpos n).ne'
choose g f_le_g gcont hg using this
refine ⟨fun x => ∑' n, g n x, fun x => ?_, ?_, ?_⟩
· rw [← SimpleFunc.tsum_eapproxDiff f hf]
exact ENNReal.tsum_le_tsum fun n => ENNReal.coe_le_coe.2 (f_le_g n x)
· refine lowerSemicontinuous_tsum fun n => ?_
exact
ENNReal.continuous_coe.comp_lowerSemicontinuous (gcont n) fun x y hxy =>
ENNReal.coe_le_coe.2 hxy
· calc
∫⁻ x, ∑' n : ℕ, g n x ∂μ = ∑' n, ∫⁻ x, g n x ∂μ := by
rw [lintegral_tsum fun n => (gcont n).measurable.coe_nnreal_ennreal.aemeasurable]
_ ≤ ∑' n, ((∫⁻ x, SimpleFunc.eapproxDiff f n x ∂μ) + δ n) := ENNReal.tsum_le_tsum hg
_ = ∑' n, ∫⁻ x, SimpleFunc.eapproxDiff f n x ∂μ + ∑' n, δ n := ENNReal.tsum_add
_ ≤ (∫⁻ x : α, f x ∂μ) + ε := by
refine add_le_add ?_ hδ.le
rw [← lintegral_tsum]
· simp_rw [SimpleFunc.tsum_eapproxDiff f hf, le_refl]
· intro n; exact (SimpleFunc.measurable _).coe_nnreal_ennreal.aemeasurable
| 28 |
import Mathlib.Analysis.Calculus.SmoothSeries
import Mathlib.Analysis.Calculus.BumpFunction.InnerProduct
import Mathlib.Analysis.Convolution
import Mathlib.Analysis.InnerProductSpace.EuclideanDist
import Mathlib.Data.Set.Pointwise.Support
import Mathlib.MeasureTheory.Measure.Haar.NormedSpace
import Mathlib.MeasureTheory.Measure.Haar.Unique
#align_import analysis.calculus.bump_function_findim from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open Set Metric TopologicalSpace Function Asymptotics MeasureTheory FiniteDimensional
ContinuousLinearMap Filter MeasureTheory.Measure Bornology
open scoped Pointwise Topology NNReal Convolution
variable {E : Type*} [NormedAddCommGroup E]
section
variable [NormedSpace ℝ E] [FiniteDimensional ℝ E]
| Mathlib/Analysis/Calculus/BumpFunction/FiniteDimension.lean | 43 | 73 | theorem exists_smooth_tsupport_subset {s : Set E} {x : E} (hs : s ∈ 𝓝 x) :
∃ f : E → ℝ,
tsupport f ⊆ s ∧ HasCompactSupport f ∧ ContDiff ℝ ⊤ f ∧ range f ⊆ Icc 0 1 ∧ f x = 1 := by |
obtain ⟨d : ℝ, d_pos : 0 < d, hd : Euclidean.closedBall x d ⊆ s⟩ :=
Euclidean.nhds_basis_closedBall.mem_iff.1 hs
let c : ContDiffBump (toEuclidean x) :=
{ rIn := d / 2
rOut := d
rIn_pos := half_pos d_pos
rIn_lt_rOut := half_lt_self d_pos }
let f : E → ℝ := c ∘ toEuclidean
have f_supp : f.support ⊆ Euclidean.ball x d := by
intro y hy
have : toEuclidean y ∈ Function.support c := by
simpa only [Function.mem_support, Function.comp_apply, Ne] using hy
rwa [c.support_eq] at this
have f_tsupp : tsupport f ⊆ Euclidean.closedBall x d := by
rw [tsupport, ← Euclidean.closure_ball _ d_pos.ne']
exact closure_mono f_supp
refine ⟨f, f_tsupp.trans hd, ?_, ?_, ?_, ?_⟩
· refine isCompact_of_isClosed_isBounded isClosed_closure ?_
have : IsBounded (Euclidean.closedBall x d) := Euclidean.isCompact_closedBall.isBounded
refine this.subset (Euclidean.isClosed_closedBall.closure_subset_iff.2 ?_)
exact f_supp.trans Euclidean.ball_subset_closedBall
· apply c.contDiff.comp
exact ContinuousLinearEquiv.contDiff _
· rintro t ⟨y, rfl⟩
exact ⟨c.nonneg, c.le_one⟩
· apply c.one_of_mem_closedBall
apply mem_closedBall_self
exact (half_pos d_pos).le
| 28 |
import Mathlib.MeasureTheory.Integral.IntervalIntegral
import Mathlib.Order.Filter.IndicatorFunction
open MeasureTheory
section DominatedConvergenceTheorem
open Set Filter TopologicalSpace ENNReal
open scoped Topology
namespace MeasureTheory
variable {α E G: Type*}
[NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E]
[NormedAddCommGroup G] [NormedSpace ℝ G]
{f g : α → E} {m : MeasurableSpace α} {μ : Measure α}
theorem tendsto_integral_of_dominated_convergence {F : ℕ → α → G} {f : α → G} (bound : α → ℝ)
(F_measurable : ∀ n, AEStronglyMeasurable (F n) μ) (bound_integrable : Integrable bound μ)
(h_bound : ∀ n, ∀ᵐ a ∂μ, ‖F n a‖ ≤ bound a)
(h_lim : ∀ᵐ a ∂μ, Tendsto (fun n => F n a) atTop (𝓝 (f a))) :
Tendsto (fun n => ∫ a, F n a ∂μ) atTop (𝓝 <| ∫ a, f a ∂μ) := by
by_cases hG : CompleteSpace G
· simp only [integral, hG, L1.integral]
exact tendsto_setToFun_of_dominated_convergence (dominatedFinMeasAdditive_weightedSMul μ)
bound F_measurable bound_integrable h_bound h_lim
· simp [integral, hG]
#align measure_theory.tendsto_integral_of_dominated_convergence MeasureTheory.tendsto_integral_of_dominated_convergence
theorem tendsto_integral_filter_of_dominated_convergence {ι} {l : Filter ι} [l.IsCountablyGenerated]
{F : ι → α → G} {f : α → G} (bound : α → ℝ) (hF_meas : ∀ᶠ n in l, AEStronglyMeasurable (F n) μ)
(h_bound : ∀ᶠ n in l, ∀ᵐ a ∂μ, ‖F n a‖ ≤ bound a) (bound_integrable : Integrable bound μ)
(h_lim : ∀ᵐ a ∂μ, Tendsto (fun n => F n a) l (𝓝 (f a))) :
Tendsto (fun n => ∫ a, F n a ∂μ) l (𝓝 <| ∫ a, f a ∂μ) := by
by_cases hG : CompleteSpace G
· simp only [integral, hG, L1.integral]
exact tendsto_setToFun_filter_of_dominated_convergence (dominatedFinMeasAdditive_weightedSMul μ)
bound hF_meas h_bound bound_integrable h_lim
· simp [integral, hG, tendsto_const_nhds]
#align measure_theory.tendsto_integral_filter_of_dominated_convergence MeasureTheory.tendsto_integral_filter_of_dominated_convergence
theorem hasSum_integral_of_dominated_convergence {ι} [Countable ι] {F : ι → α → G} {f : α → G}
(bound : ι → α → ℝ) (hF_meas : ∀ n, AEStronglyMeasurable (F n) μ)
(h_bound : ∀ n, ∀ᵐ a ∂μ, ‖F n a‖ ≤ bound n a)
(bound_summable : ∀ᵐ a ∂μ, Summable fun n => bound n a)
(bound_integrable : Integrable (fun a => ∑' n, bound n a) μ)
(h_lim : ∀ᵐ a ∂μ, HasSum (fun n => F n a) (f a)) :
HasSum (fun n => ∫ a, F n a ∂μ) (∫ a, f a ∂μ) := by
have hb_nonneg : ∀ᵐ a ∂μ, ∀ n, 0 ≤ bound n a :=
eventually_countable_forall.2 fun n => (h_bound n).mono fun a => (norm_nonneg _).trans
have hb_le_tsum : ∀ n, bound n ≤ᵐ[μ] fun a => ∑' n, bound n a := by
intro n
filter_upwards [hb_nonneg, bound_summable]
with _ ha0 ha_sum using le_tsum ha_sum _ fun i _ => ha0 i
have hF_integrable : ∀ n, Integrable (F n) μ := by
refine fun n => bound_integrable.mono' (hF_meas n) ?_
exact EventuallyLE.trans (h_bound n) (hb_le_tsum n)
simp only [HasSum, ← integral_finset_sum _ fun n _ => hF_integrable n]
refine tendsto_integral_filter_of_dominated_convergence
(fun a => ∑' n, bound n a) ?_ ?_ bound_integrable h_lim
· exact eventually_of_forall fun s => s.aestronglyMeasurable_sum fun n _ => hF_meas n
· filter_upwards with s
filter_upwards [eventually_countable_forall.2 h_bound, hb_nonneg, bound_summable]
with a hFa ha0 has
calc
‖∑ n ∈ s, F n a‖ ≤ ∑ n ∈ s, bound n a := norm_sum_le_of_le _ fun n _ => hFa n
_ ≤ ∑' n, bound n a := sum_le_tsum _ (fun n _ => ha0 n) has
#align measure_theory.has_sum_integral_of_dominated_convergence MeasureTheory.hasSum_integral_of_dominated_convergence
| Mathlib/MeasureTheory/Integral/DominatedConvergence.lean | 107 | 137 | theorem integral_tsum {ι} [Countable ι] {f : ι → α → G} (hf : ∀ i, AEStronglyMeasurable (f i) μ)
(hf' : ∑' i, ∫⁻ a : α, ‖f i a‖₊ ∂μ ≠ ∞) :
∫ a : α, ∑' i, f i a ∂μ = ∑' i, ∫ a : α, f i a ∂μ := by |
by_cases hG : CompleteSpace G; swap
· simp [integral, hG]
have hf'' : ∀ i, AEMeasurable (fun x => (‖f i x‖₊ : ℝ≥0∞)) μ := fun i => (hf i).ennnorm
have hhh : ∀ᵐ a : α ∂μ, Summable fun n => (‖f n a‖₊ : ℝ) := by
rw [← lintegral_tsum hf''] at hf'
refine (ae_lt_top' (AEMeasurable.ennreal_tsum hf'') hf').mono ?_
intro x hx
rw [← ENNReal.tsum_coe_ne_top_iff_summable_coe]
exact hx.ne
convert (MeasureTheory.hasSum_integral_of_dominated_convergence (fun i a => ‖f i a‖₊) hf _ hhh
⟨_, _⟩ _).tsum_eq.symm
· intro n
filter_upwards with x
rfl
· simp_rw [← NNReal.coe_tsum]
rw [aestronglyMeasurable_iff_aemeasurable]
apply AEMeasurable.coe_nnreal_real
apply AEMeasurable.nnreal_tsum
exact fun i => (hf i).nnnorm.aemeasurable
· dsimp [HasFiniteIntegral]
have : ∫⁻ a, ∑' n, ‖f n a‖₊ ∂μ < ⊤ := by rwa [lintegral_tsum hf'', lt_top_iff_ne_top]
convert this using 1
apply lintegral_congr_ae
simp_rw [← coe_nnnorm, ← NNReal.coe_tsum, NNReal.nnnorm_eq]
filter_upwards [hhh] with a ha
exact ENNReal.coe_tsum (NNReal.summable_coe.mp ha)
· filter_upwards [hhh] with x hx
exact hx.of_norm.hasSum
| 28 |
import Mathlib.CategoryTheory.Limits.Preserves.Finite
import Mathlib.CategoryTheory.Sites.Canonical
import Mathlib.CategoryTheory.Sites.Coherent.Basic
import Mathlib.CategoryTheory.Sites.Preserves
universe v u w
namespace CategoryTheory
open Limits
variable {C : Type u} [Category.{v} C]
variable [FinitaryPreExtensive C]
class Presieve.Extensive {X : C} (R : Presieve X) : Prop where
arrows_nonempty_isColimit : ∃ (α : Type) (_ : Finite α) (Z : α → C) (π : (a : α) → (Z a ⟶ X)),
R = Presieve.ofArrows Z π ∧ Nonempty (IsColimit (Cofan.mk X π))
instance {X : C} (S : Presieve X) [S.Extensive] : S.hasPullbacks where
has_pullbacks := by
obtain ⟨_, _, _, _, rfl, ⟨hc⟩⟩ := Presieve.Extensive.arrows_nonempty_isColimit (R := S)
intro _ _ _ _ _ hg
cases hg
apply FinitaryPreExtensive.hasPullbacks_of_is_coproduct hc
open Presieve Opposite
theorem isSheafFor_extensive_of_preservesFiniteProducts {X : C} (S : Presieve X) [S.Extensive]
(F : Cᵒᵖ ⥤ Type w) [PreservesFiniteProducts F] : S.IsSheafFor F := by
obtain ⟨α, _, Z, π, rfl, ⟨hc⟩⟩ := Extensive.arrows_nonempty_isColimit (R := S)
have : (ofArrows Z (Cofan.mk X π).inj).hasPullbacks :=
(inferInstance : (ofArrows Z π).hasPullbacks)
cases nonempty_fintype α
exact isSheafFor_of_preservesProduct _ _ hc
instance {α : Type} [Finite α] (Z : α → C) : (ofArrows Z (fun i ↦ Sigma.ι Z i)).Extensive :=
⟨⟨α, inferInstance, Z, (fun i ↦ Sigma.ι Z i), rfl, ⟨coproductIsCoproduct _⟩⟩⟩
theorem extensiveTopology.isSheaf_yoneda_obj (W : C) : Presieve.IsSheaf (extensiveTopology C)
(yoneda.obj W) := by
erw [isSheaf_coverage]
intro X R ⟨Y, α, Z, π, hR, hi⟩
have : IsIso (Sigma.desc (Cofan.inj (Cofan.mk X π))) := hi
have : R.Extensive := ⟨Y, α, Z, π, hR, ⟨Cofan.isColimitOfIsIsoSigmaDesc (Cofan.mk X π)⟩⟩
exact isSheafFor_extensive_of_preservesFiniteProducts _ _
theorem extensiveTopology.subcanonical : Sheaf.Subcanonical (extensiveTopology C) :=
Sheaf.Subcanonical.of_yoneda_isSheaf _ isSheaf_yoneda_obj
| Mathlib/CategoryTheory/Sites/Coherent/ExtensiveSheaves.lean | 80 | 110 | theorem Presieve.isSheaf_iff_preservesFiniteProducts [FinitaryExtensive C] (F : Cᵒᵖ ⥤ Type w) :
Presieve.IsSheaf (extensiveTopology C) F ↔
Nonempty (PreservesFiniteProducts F) := by |
refine ⟨fun hF ↦ ⟨⟨fun α _ ↦ ⟨fun {K} ↦ ?_⟩⟩⟩, fun hF ↦ ?_⟩
· erw [Presieve.isSheaf_coverage] at hF
let Z : α → C := fun i ↦ unop (K.obj ⟨i⟩)
have : (Presieve.ofArrows Z (Cofan.mk (∐ Z) (Sigma.ι Z)).inj).hasPullbacks :=
(inferInstance : (Presieve.ofArrows Z (Sigma.ι Z)).hasPullbacks)
have : ∀ (i : α), Mono (Cofan.inj (Cofan.mk (∐ Z) (Sigma.ι Z)) i) :=
(inferInstance : ∀ (i : α), Mono (Sigma.ι Z i))
let i : K ≅ Discrete.functor (fun i ↦ op (Z i)) := Discrete.natIsoFunctor
let _ : PreservesLimit (Discrete.functor (fun i ↦ op (Z i))) F :=
Presieve.preservesProductOfIsSheafFor F ?_ initialIsInitial _ (coproductIsCoproduct Z)
(FinitaryExtensive.isPullback_initial_to_sigma_ι Z)
(hF (Presieve.ofArrows Z (fun i ↦ Sigma.ι Z i)) ?_)
· exact preservesLimitOfIsoDiagram F i.symm
· apply hF
refine ⟨Empty, inferInstance, Empty.elim, IsEmpty.elim inferInstance, rfl, ⟨default,?_, ?_⟩⟩
· ext b
cases b
· simp only [eq_iff_true_of_subsingleton]
· refine ⟨α, inferInstance, Z, (fun i ↦ Sigma.ι Z i), rfl, ?_⟩
suffices Sigma.desc (fun i ↦ Sigma.ι Z i) = 𝟙 _ by rw [this]; infer_instance
ext
simp
· let _ := hF.some
erw [Presieve.isSheaf_coverage]
intro X R ⟨Y, α, Z, π, hR, hi⟩
have : IsIso (Sigma.desc (Cofan.inj (Cofan.mk X π))) := hi
have : R.Extensive := ⟨Y, α, Z, π, hR, ⟨Cofan.isColimitOfIsIsoSigmaDesc (Cofan.mk X π)⟩⟩
exact isSheafFor_extensive_of_preservesFiniteProducts R F
| 28 |
import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure
import Mathlib.RingTheory.IntegralDomain
#align_import field_theory.primitive_element from "leanprover-community/mathlib"@"df76f43357840485b9d04ed5dee5ab115d420e87"
noncomputable section
open scoped Classical Polynomial
open FiniteDimensional Polynomial IntermediateField
namespace Field
variable (F E : Type*) [Field F] [Field E]
variable [Algebra F E]
section FiniteIntermediateField
-- TODO: show a more generalized result: [F⟮α⟯ : F⟮α ^ m⟯] = m if m > 0 and α transcendental.
| Mathlib/FieldTheory/PrimitiveElement.lean | 246 | 275 | theorem isAlgebraic_of_adjoin_eq_adjoin {α : E} {m n : ℕ} (hneq : m ≠ n)
(heq : F⟮α ^ m⟯ = F⟮α ^ n⟯) : IsAlgebraic F α := by |
wlog hmn : m < n
· exact this F E hneq.symm heq.symm (hneq.lt_or_lt.resolve_left hmn)
by_cases hm : m = 0
· rw [hm] at heq hmn
simp only [pow_zero, adjoin_one] at heq
obtain ⟨y, h⟩ := mem_bot.1 (heq.symm ▸ mem_adjoin_simple_self F (α ^ n))
refine ⟨X ^ n - C y, X_pow_sub_C_ne_zero hmn y, ?_⟩
simp only [map_sub, map_pow, aeval_X, aeval_C, h, sub_self]
obtain ⟨r, s, h⟩ := (mem_adjoin_simple_iff F _).1 (heq ▸ mem_adjoin_simple_self F (α ^ m))
by_cases hzero : aeval (α ^ n) s = 0
· simp only [hzero, div_zero, pow_eq_zero_iff hm] at h
exact h.symm ▸ isAlgebraic_zero
replace hm : 0 < m := Nat.pos_of_ne_zero hm
rw [eq_div_iff hzero, ← sub_eq_zero] at h
replace hzero : s ≠ 0 := by rintro rfl; simp only [map_zero, not_true_eq_false] at hzero
let f : F[X] := X ^ m * expand F n s - expand F n r
refine ⟨f, ?_, ?_⟩
· have : f.coeff (n * s.natDegree + m) ≠ 0 := by
have hn : 0 < n := by linarith only [hm, hmn]
have hndvd : ¬ n ∣ n * s.natDegree + m := by
rw [← Nat.dvd_add_iff_right (n.dvd_mul_right s.natDegree)]
exact Nat.not_dvd_of_pos_of_lt hm hmn
simp only [f, coeff_sub, coeff_X_pow_mul, s.coeff_expand_mul' hn, coeff_natDegree,
coeff_expand hn r, hndvd, ite_false, sub_zero]
exact leadingCoeff_ne_zero.2 hzero
intro h
simp only [h, coeff_zero, ne_eq, not_true_eq_false] at this
· simp only [f, map_sub, map_mul, map_pow, aeval_X, expand_aeval, h]
| 28 |
import Mathlib.AlgebraicGeometry.Morphisms.Basic
import Mathlib.Topology.Spectral.Hom
import Mathlib.AlgebraicGeometry.Limits
#align_import algebraic_geometry.morphisms.quasi_compact from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8"
noncomputable section
open CategoryTheory CategoryTheory.Limits Opposite TopologicalSpace
universe u
open scoped AlgebraicGeometry
namespace AlgebraicGeometry
variable {X Y : Scheme.{u}} (f : X ⟶ Y)
@[mk_iff]
class QuasiCompact (f : X ⟶ Y) : Prop where
isCompact_preimage : ∀ U : Set Y.carrier, IsOpen U → IsCompact U → IsCompact (f.1.base ⁻¹' U)
#align algebraic_geometry.quasi_compact AlgebraicGeometry.QuasiCompact
theorem quasiCompact_iff_spectral : QuasiCompact f ↔ IsSpectralMap f.1.base :=
⟨fun ⟨h⟩ => ⟨by continuity, h⟩, fun h => ⟨h.2⟩⟩
#align algebraic_geometry.quasi_compact_iff_spectral AlgebraicGeometry.quasiCompact_iff_spectral
def QuasiCompact.affineProperty : AffineTargetMorphismProperty := fun X _ _ _ =>
CompactSpace X.carrier
#align algebraic_geometry.quasi_compact.affine_property AlgebraicGeometry.QuasiCompact.affineProperty
instance (priority := 900) quasiCompactOfIsIso {X Y : Scheme} (f : X ⟶ Y) [IsIso f] :
QuasiCompact f := by
constructor
intro U _ hU'
convert hU'.image (inv f.1.base).continuous_toFun using 1
rw [Set.image_eq_preimage_of_inverse]
· delta Function.LeftInverse
exact IsIso.inv_hom_id_apply f.1.base
· exact IsIso.hom_inv_id_apply f.1.base
#align algebraic_geometry.quasi_compact_of_is_iso AlgebraicGeometry.quasiCompactOfIsIso
instance quasiCompactComp {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [QuasiCompact f]
[QuasiCompact g] : QuasiCompact (f ≫ g) := by
constructor
intro U hU hU'
rw [Scheme.comp_val_base, TopCat.coe_comp, Set.preimage_comp]
apply QuasiCompact.isCompact_preimage
· exact Continuous.isOpen_preimage (by
-- Porting note: `continuity` failed
-- see https://github.com/leanprover-community/mathlib4/issues/5030
exact Scheme.Hom.continuous g) _ hU
apply QuasiCompact.isCompact_preimage <;> assumption
#align algebraic_geometry.quasi_compact_comp AlgebraicGeometry.quasiCompactComp
theorem isCompact_open_iff_eq_finset_affine_union {X : Scheme} (U : Set X.carrier) :
IsCompact U ∧ IsOpen U ↔
∃ s : Set X.affineOpens, s.Finite ∧ U = ⋃ (i : X.affineOpens) (_ : i ∈ s), i := by
apply Opens.IsBasis.isCompact_open_iff_eq_finite_iUnion
(fun (U : X.affineOpens) => (U : Opens X.carrier))
· rw [Subtype.range_coe]; exact isBasis_affine_open X
· exact fun i => i.2.isCompact
#align algebraic_geometry.is_compact_open_iff_eq_finset_affine_union AlgebraicGeometry.isCompact_open_iff_eq_finset_affine_union
theorem isCompact_open_iff_eq_basicOpen_union {X : Scheme} [IsAffine X] (U : Set X.carrier) :
IsCompact U ∧ IsOpen U ↔
∃ s : Set (X.presheaf.obj (op ⊤)),
s.Finite ∧ U = ⋃ (i : X.presheaf.obj (op ⊤)) (_ : i ∈ s), X.basicOpen i :=
(isBasis_basicOpen X).isCompact_open_iff_eq_finite_iUnion _
(fun _ => ((topIsAffineOpen _).basicOpenIsAffine _).isCompact) _
#align algebraic_geometry.is_compact_open_iff_eq_basic_open_union AlgebraicGeometry.isCompact_open_iff_eq_basicOpen_union
theorem quasiCompact_iff_forall_affine :
QuasiCompact f ↔
∀ U : Opens Y.carrier, IsAffineOpen U → IsCompact (f.1.base ⁻¹' (U : Set Y.carrier)) := by
rw [quasiCompact_iff]
refine ⟨fun H U hU => H U U.isOpen hU.isCompact, ?_⟩
intro H U hU hU'
obtain ⟨S, hS, rfl⟩ := (isCompact_open_iff_eq_finset_affine_union U).mp ⟨hU', hU⟩
simp only [Set.preimage_iUnion]
exact Set.Finite.isCompact_biUnion hS (fun i _ => H i i.prop)
#align algebraic_geometry.quasi_compact_iff_forall_affine AlgebraicGeometry.quasiCompact_iff_forall_affine
@[simp]
theorem QuasiCompact.affineProperty_toProperty {X Y : Scheme} (f : X ⟶ Y) :
(QuasiCompact.affineProperty : _).toProperty f ↔ IsAffine Y ∧ CompactSpace X.carrier := by
delta AffineTargetMorphismProperty.toProperty QuasiCompact.affineProperty; simp
#align algebraic_geometry.quasi_compact.affine_property_to_property AlgebraicGeometry.QuasiCompact.affineProperty_toProperty
theorem quasiCompact_iff_affineProperty :
QuasiCompact f ↔ targetAffineLocally QuasiCompact.affineProperty f := by
rw [quasiCompact_iff_forall_affine]
trans ∀ U : Y.affineOpens, IsCompact (f.1.base ⁻¹' (U : Set Y.carrier))
· exact ⟨fun h U => h U U.prop, fun h U hU => h ⟨U, hU⟩⟩
apply forall_congr'
exact fun _ => isCompact_iff_compactSpace
#align algebraic_geometry.quasi_compact_iff_affine_property AlgebraicGeometry.quasiCompact_iff_affineProperty
theorem quasiCompact_eq_affineProperty :
@QuasiCompact = targetAffineLocally QuasiCompact.affineProperty := by
ext
exact quasiCompact_iff_affineProperty _
#align algebraic_geometry.quasi_compact_eq_affine_property AlgebraicGeometry.quasiCompact_eq_affineProperty
| Mathlib/AlgebraicGeometry/Morphisms/QuasiCompact.lean | 129 | 158 | theorem isCompact_basicOpen (X : Scheme) {U : Opens X.carrier} (hU : IsCompact (U : Set X.carrier))
(f : X.presheaf.obj (op U)) : IsCompact (X.basicOpen f : Set X.carrier) := by |
classical
refine ((isCompact_open_iff_eq_finset_affine_union _).mpr ?_).1
obtain ⟨s, hs, e⟩ := (isCompact_open_iff_eq_finset_affine_union _).mp ⟨hU, U.isOpen⟩
let g : s → X.affineOpens := by
intro V
use V.1 ⊓ X.basicOpen f
have : V.1.1 ⟶ U := by
apply homOfLE; change _ ⊆ (U : Set X.carrier); rw [e]
convert Set.subset_iUnion₂ (s := fun (U : X.affineOpens) (_ : U ∈ s) => (U : Set X.carrier))
V V.prop using 1
erw [← X.toLocallyRingedSpace.toRingedSpace.basicOpen_res this.op]
exact IsAffineOpen.basicOpenIsAffine V.1.prop _
haveI : Finite s := hs.to_subtype
refine ⟨Set.range g, Set.finite_range g, ?_⟩
refine (Set.inter_eq_right.mpr
(SetLike.coe_subset_coe.2 <| RingedSpace.basicOpen_le _ _)).symm.trans ?_
rw [e, Set.iUnion₂_inter]
apply le_antisymm <;> apply Set.iUnion₂_subset
· intro i hi
-- Porting note: had to make explicit the first given parameter to `Set.subset_iUnion₂`
exact Set.Subset.trans (Set.Subset.rfl : _ ≤ g ⟨i, hi⟩)
(@Set.subset_iUnion₂ _ _ _
(fun (i : Scheme.affineOpens X) (_ : i ∈ Set.range g) => (i : Set X.toPresheafedSpace)) _
(Set.mem_range_self ⟨i, hi⟩))
· rintro ⟨i, hi⟩ ⟨⟨j, hj⟩, hj'⟩
rw [← hj']
refine Set.Subset.trans ?_ (Set.subset_iUnion₂ j hj)
exact Set.Subset.rfl
| 28 |
import Mathlib.MeasureTheory.Measure.Typeclasses
#align_import measure_theory.measure.sub from "leanprover-community/mathlib"@"562bbf524c595c153470e53d36c57b6f891cc480"
open Set
namespace MeasureTheory
namespace Measure
noncomputable instance instSub {α : Type*} [MeasurableSpace α] : Sub (Measure α) :=
⟨fun μ ν => sInf { τ | μ ≤ τ + ν }⟩
#align measure_theory.measure.has_sub MeasureTheory.Measure.instSub
variable {α : Type*} {m : MeasurableSpace α} {μ ν : Measure α} {s : Set α}
theorem sub_def : μ - ν = sInf { d | μ ≤ d + ν } := rfl
#align measure_theory.measure.sub_def MeasureTheory.Measure.sub_def
theorem sub_le_of_le_add {d} (h : μ ≤ d + ν) : μ - ν ≤ d :=
sInf_le h
#align measure_theory.measure.sub_le_of_le_add MeasureTheory.Measure.sub_le_of_le_add
theorem sub_eq_zero_of_le (h : μ ≤ ν) : μ - ν = 0 :=
nonpos_iff_eq_zero'.1 <| sub_le_of_le_add <| by rwa [zero_add]
#align measure_theory.measure.sub_eq_zero_of_le MeasureTheory.Measure.sub_eq_zero_of_le
theorem sub_le : μ - ν ≤ μ :=
sub_le_of_le_add <| Measure.le_add_right le_rfl
#align measure_theory.measure.sub_le MeasureTheory.Measure.sub_le
@[simp]
theorem sub_top : μ - ⊤ = 0 :=
sub_eq_zero_of_le le_top
#align measure_theory.measure.sub_top MeasureTheory.Measure.sub_top
@[simp]
theorem zero_sub : 0 - μ = 0 :=
sub_eq_zero_of_le μ.zero_le
#align measure_theory.measure.zero_sub MeasureTheory.Measure.zero_sub
@[simp]
theorem sub_self : μ - μ = 0 :=
sub_eq_zero_of_le le_rfl
#align measure_theory.measure.sub_self MeasureTheory.Measure.sub_self
theorem sub_apply [IsFiniteMeasure ν] (h₁ : MeasurableSet s) (h₂ : ν ≤ μ) :
(μ - ν) s = μ s - ν s := by
-- We begin by defining `measure_sub`, which will be equal to `(μ - ν)`.
let measure_sub : Measure α := MeasureTheory.Measure.ofMeasurable
(fun (t : Set α) (_ : MeasurableSet t) => μ t - ν t) (by simp)
(fun g h_meas h_disj ↦ by
simp only [measure_iUnion h_disj h_meas]
rw [ENNReal.tsum_sub _ (h₂ <| g ·)]
rw [← measure_iUnion h_disj h_meas]
apply measure_ne_top)
-- Now, we demonstrate `μ - ν = measure_sub`, and apply it.
have h_measure_sub_add : ν + measure_sub = μ := by
ext1 t h_t_measurable_set
simp only [Pi.add_apply, coe_add]
rw [MeasureTheory.Measure.ofMeasurable_apply _ h_t_measurable_set, add_comm,
tsub_add_cancel_of_le (h₂ t)]
have h_measure_sub_eq : μ - ν = measure_sub := by
rw [MeasureTheory.Measure.sub_def]
apply le_antisymm
· apply sInf_le
simp [le_refl, add_comm, h_measure_sub_add]
apply le_sInf
intro d h_d
rw [← h_measure_sub_add, mem_setOf_eq, add_comm d] at h_d
apply Measure.le_of_add_le_add_left h_d
rw [h_measure_sub_eq]
apply Measure.ofMeasurable_apply _ h₁
#align measure_theory.measure.sub_apply MeasureTheory.Measure.sub_apply
theorem sub_add_cancel_of_le [IsFiniteMeasure ν] (h₁ : ν ≤ μ) : μ - ν + ν = μ := by
ext1 s h_s_meas
rw [add_apply, sub_apply h_s_meas h₁, tsub_add_cancel_of_le (h₁ s)]
#align measure_theory.measure.sub_add_cancel_of_le MeasureTheory.Measure.sub_add_cancel_of_le
| Mathlib/MeasureTheory/Measure/Sub.lean | 105 | 134 | theorem restrict_sub_eq_restrict_sub_restrict (h_meas_s : MeasurableSet s) :
(μ - ν).restrict s = μ.restrict s - ν.restrict s := by |
repeat rw [sub_def]
have h_nonempty : { d | μ ≤ d + ν }.Nonempty := ⟨μ, Measure.le_add_right le_rfl⟩
rw [restrict_sInf_eq_sInf_restrict h_nonempty h_meas_s]
apply le_antisymm
· refine sInf_le_sInf_of_forall_exists_le ?_
intro ν' h_ν'_in
rw [mem_setOf_eq] at h_ν'_in
refine ⟨ν'.restrict s, ?_, restrict_le_self⟩
refine ⟨ν' + (⊤ : Measure α).restrict sᶜ, ?_, ?_⟩
· rw [mem_setOf_eq, add_right_comm, Measure.le_iff]
intro t h_meas_t
repeat rw [← measure_inter_add_diff t h_meas_s]
refine add_le_add ?_ ?_
· rw [add_apply, add_apply]
apply le_add_right _
rw [← restrict_eq_self μ inter_subset_right,
← restrict_eq_self ν inter_subset_right]
apply h_ν'_in
· rw [add_apply, restrict_apply (h_meas_t.diff h_meas_s), diff_eq, inter_assoc, inter_self,
← add_apply]
have h_mu_le_add_top : μ ≤ ν' + ν + ⊤ := by simp only [add_top, le_top]
exact Measure.le_iff'.1 h_mu_le_add_top _
· ext1 t h_meas_t
simp [restrict_apply h_meas_t, restrict_apply (h_meas_t.inter h_meas_s), inter_assoc]
· refine sInf_le_sInf_of_forall_exists_le ?_
refine forall_mem_image.2 fun t h_t_in => ⟨t.restrict s, ?_, le_rfl⟩
rw [Set.mem_setOf_eq, ← restrict_add]
exact restrict_mono Subset.rfl h_t_in
| 28 |
import Mathlib.Init.Classical
import Mathlib.Order.FixedPoints
import Mathlib.Order.Zorn
#align_import set_theory.cardinal.schroeder_bernstein from "leanprover-community/mathlib"@"1e05171a5e8cf18d98d9cf7b207540acb044acae"
open Set Function
open scoped Classical
universe u v
namespace Function
namespace Embedding
section antisymm
variable {α : Type u} {β : Type v}
| Mathlib/SetTheory/Cardinal/SchroederBernstein.lean | 47 | 76 | theorem schroeder_bernstein {f : α → β} {g : β → α} (hf : Function.Injective f)
(hg : Function.Injective g) : ∃ h : α → β, Bijective h := by |
cases' isEmpty_or_nonempty β with hβ hβ
· have : IsEmpty α := Function.isEmpty f
exact ⟨_, ((Equiv.equivEmpty α).trans (Equiv.equivEmpty β).symm).bijective⟩
set F : Set α →o Set α :=
{ toFun := fun s => (g '' (f '' s)ᶜ)ᶜ
monotone' := fun s t hst =>
compl_subset_compl.mpr <| image_subset _ <| compl_subset_compl.mpr <| image_subset _ hst }
-- Porting note: dot notation `F.lfp` doesn't work here
set s : Set α := OrderHom.lfp F
have hs : (g '' (f '' s)ᶜ)ᶜ = s := F.map_lfp
have hns : g '' (f '' s)ᶜ = sᶜ := compl_injective (by simp [hs])
set g' := invFun g
have g'g : LeftInverse g' g := leftInverse_invFun hg
have hg'ns : g' '' sᶜ = (f '' s)ᶜ := by rw [← hns, g'g.image_image]
set h : α → β := s.piecewise f g'
have : Surjective h := by rw [← range_iff_surjective, range_piecewise, hg'ns, union_compl_self]
have : Injective h := by
refine (injective_piecewise_iff _).2 ⟨hf.injOn, ?_, ?_⟩
· intro x hx y hy hxy
obtain ⟨x', _, rfl⟩ : x ∈ g '' (f '' s)ᶜ := by rwa [hns]
obtain ⟨y', _, rfl⟩ : y ∈ g '' (f '' s)ᶜ := by rwa [hns]
rw [g'g _, g'g _] at hxy
rw [hxy]
· intro x hx y hy hxy
obtain ⟨y', hy', rfl⟩ : y ∈ g '' (f '' s)ᶜ := by rwa [hns]
rw [g'g _] at hxy
exact hy' ⟨x, hx, hxy⟩
exact ⟨h, ‹Injective h›, ‹Surjective h›⟩
| 28 |
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.NumberTheory.Liouville.Residual
import Mathlib.NumberTheory.Liouville.LiouvilleWith
import Mathlib.Analysis.PSeries
#align_import number_theory.liouville.measure from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open scoped Filter ENNReal Topology NNReal
open Filter Set Metric MeasureTheory Real
theorem setOf_liouvilleWith_subset_aux :
{ x : ℝ | ∃ p > 2, LiouvilleWith p x } ⊆
⋃ m : ℤ, (· + (m : ℝ)) ⁻¹' ⋃ n > (0 : ℕ),
{ x : ℝ | ∃ᶠ b : ℕ in atTop, ∃ a ∈ Finset.Icc (0 : ℤ) b,
|x - (a : ℤ) / b| < 1 / (b : ℝ) ^ (2 + 1 / n : ℝ) } := by
rintro x ⟨p, hp, hxp⟩
rcases exists_nat_one_div_lt (sub_pos.2 hp) with ⟨n, hn⟩
rw [lt_sub_iff_add_lt'] at hn
suffices ∀ y : ℝ, LiouvilleWith p y → y ∈ Ico (0 : ℝ) 1 → ∃ᶠ b : ℕ in atTop,
∃ a ∈ Finset.Icc (0 : ℤ) b, |y - a / b| < 1 / (b : ℝ) ^ (2 + 1 / (n + 1 : ℕ) : ℝ) by
simp only [mem_iUnion, mem_preimage]
have hx : x + ↑(-⌊x⌋) ∈ Ico (0 : ℝ) 1 := by
simp only [Int.floor_le, Int.lt_floor_add_one, add_neg_lt_iff_le_add', zero_add, and_self_iff,
mem_Ico, Int.cast_neg, le_add_neg_iff_add_le]
exact ⟨-⌊x⌋, n + 1, n.succ_pos, this _ (hxp.add_int _) hx⟩
clear hxp x; intro x hxp hx01
refine ((hxp.frequently_lt_rpow_neg hn).and_eventually (eventually_ge_atTop 1)).mono ?_
rintro b ⟨⟨a, -, hlt⟩, hb⟩
rw [rpow_neg b.cast_nonneg, ← one_div, ← Nat.cast_succ] at hlt
refine ⟨a, ?_, hlt⟩
replace hb : (1 : ℝ) ≤ b := Nat.one_le_cast.2 hb
have hb0 : (0 : ℝ) < b := zero_lt_one.trans_le hb
replace hlt : |x - a / b| < 1 / b := by
refine hlt.trans_le (one_div_le_one_div_of_le hb0 ?_)
calc
(b : ℝ) = (b : ℝ) ^ (1 : ℝ) := (rpow_one _).symm
_ ≤ (b : ℝ) ^ (2 + 1 / (n + 1 : ℕ) : ℝ) :=
rpow_le_rpow_of_exponent_le hb (one_le_two.trans ?_)
simpa using n.cast_add_one_pos.le
rw [sub_div' _ _ _ hb0.ne', abs_div, abs_of_pos hb0, div_lt_div_right hb0, abs_sub_lt_iff,
sub_lt_iff_lt_add, sub_lt_iff_lt_add, ← sub_lt_iff_lt_add'] at hlt
rw [Finset.mem_Icc, ← Int.lt_add_one_iff, ← Int.lt_add_one_iff, ← neg_lt_iff_pos_add, add_comm, ←
@Int.cast_lt ℝ, ← @Int.cast_lt ℝ]
push_cast
refine ⟨lt_of_le_of_lt ?_ hlt.1, hlt.2.trans_le ?_⟩
· simp only [mul_nonneg hx01.left b.cast_nonneg, neg_le_sub_iff_le_add, le_add_iff_nonneg_left]
· rw [add_le_add_iff_left]
exact mul_le_of_le_one_left hb0.le hx01.2.le
#align set_of_liouville_with_subset_aux setOf_liouvilleWith_subset_aux
@[simp]
| Mathlib/NumberTheory/Liouville/Measure.lean | 77 | 106 | theorem volume_iUnion_setOf_liouvilleWith :
volume (⋃ (p : ℝ) (_hp : 2 < p), { x : ℝ | LiouvilleWith p x }) = 0 := by |
simp only [← setOf_exists, exists_prop]
refine measure_mono_null setOf_liouvilleWith_subset_aux ?_
rw [measure_iUnion_null_iff]; intro m; rw [measure_preimage_add_right]; clear m
refine (measure_biUnion_null_iff <| to_countable _).2 fun n (hn : 1 ≤ n) => ?_
generalize hr : (2 + 1 / n : ℝ) = r
replace hr : 2 < r := by simp [← hr, zero_lt_one.trans_le hn]
clear hn n
refine measure_setOf_frequently_eq_zero ?_
simp only [setOf_exists, ← exists_prop, ← Real.dist_eq, ← mem_ball, setOf_mem_eq]
set B : ℤ → ℕ → Set ℝ := fun a b => ball (a / b) (1 / (b : ℝ) ^ r)
have hB : ∀ a b, volume (B a b) = ↑((2 : ℝ≥0) / (b : ℝ≥0) ^ r) := fun a b ↦ by
rw [Real.volume_ball, mul_one_div, ← NNReal.coe_two, ← NNReal.coe_natCast, ← NNReal.coe_rpow,
← NNReal.coe_div, ENNReal.ofReal_coe_nnreal]
have : ∀ b : ℕ, volume (⋃ a ∈ Finset.Icc (0 : ℤ) b, B a b) ≤
↑(2 * ((b : ℝ≥0) ^ (1 - r) + (b : ℝ≥0) ^ (-r))) := fun b ↦
calc
volume (⋃ a ∈ Finset.Icc (0 : ℤ) b, B a b) ≤ ∑ a ∈ Finset.Icc (0 : ℤ) b, volume (B a b) :=
measure_biUnion_finset_le _ _
_ = ↑((b + 1) * (2 / (b : ℝ≥0) ^ r)) := by
simp only [hB, Int.card_Icc, Finset.sum_const, nsmul_eq_mul, sub_zero, ← Int.ofNat_succ,
Int.toNat_natCast, ← Nat.cast_succ, ENNReal.coe_mul, ENNReal.coe_natCast]
_ = _ := by
have : 1 - r ≠ 0 := by linarith
rw [ENNReal.coe_inj]
simp [add_mul, div_eq_mul_inv, NNReal.rpow_neg, NNReal.rpow_sub' _ this, mul_add,
mul_left_comm]
refine ne_top_of_le_ne_top (ENNReal.tsum_coe_ne_top_iff_summable.2 ?_) (ENNReal.tsum_le_tsum this)
refine (Summable.add ?_ ?_).mul_left _ <;> simp only [NNReal.summable_rpow] <;> linarith
| 28 |
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Data.Rat.Denumerable
import Mathlib.Data.Set.Pointwise.Interval
import Mathlib.SetTheory.Cardinal.Continuum
#align_import data.real.cardinality from "leanprover-community/mathlib"@"7e7aaccf9b0182576cabdde36cf1b5ad3585b70d"
open Nat Set
open Cardinal
noncomputable section
namespace Cardinal
variable {c : ℝ} {f g : ℕ → Bool} {n : ℕ}
def cantorFunctionAux (c : ℝ) (f : ℕ → Bool) (n : ℕ) : ℝ :=
cond (f n) (c ^ n) 0
#align cardinal.cantor_function_aux Cardinal.cantorFunctionAux
@[simp]
theorem cantorFunctionAux_true (h : f n = true) : cantorFunctionAux c f n = c ^ n := by
simp [cantorFunctionAux, h]
#align cardinal.cantor_function_aux_tt Cardinal.cantorFunctionAux_true
@[simp]
theorem cantorFunctionAux_false (h : f n = false) : cantorFunctionAux c f n = 0 := by
simp [cantorFunctionAux, h]
#align cardinal.cantor_function_aux_ff Cardinal.cantorFunctionAux_false
theorem cantorFunctionAux_nonneg (h : 0 ≤ c) : 0 ≤ cantorFunctionAux c f n := by
cases h' : f n <;> simp [h']
apply pow_nonneg h
#align cardinal.cantor_function_aux_nonneg Cardinal.cantorFunctionAux_nonneg
theorem cantorFunctionAux_eq (h : f n = g n) :
cantorFunctionAux c f n = cantorFunctionAux c g n := by simp [cantorFunctionAux, h]
#align cardinal.cantor_function_aux_eq Cardinal.cantorFunctionAux_eq
theorem cantorFunctionAux_zero (f : ℕ → Bool) : cantorFunctionAux c f 0 = cond (f 0) 1 0 := by
cases h : f 0 <;> simp [h]
#align cardinal.cantor_function_aux_zero Cardinal.cantorFunctionAux_zero
theorem cantorFunctionAux_succ (f : ℕ → Bool) :
(fun n => cantorFunctionAux c f (n + 1)) = fun n =>
c * cantorFunctionAux c (fun n => f (n + 1)) n := by
ext n
cases h : f (n + 1) <;> simp [h, _root_.pow_succ']
#align cardinal.cantor_function_aux_succ Cardinal.cantorFunctionAux_succ
theorem summable_cantor_function (f : ℕ → Bool) (h1 : 0 ≤ c) (h2 : c < 1) :
Summable (cantorFunctionAux c f) := by
apply (summable_geometric_of_lt_one h1 h2).summable_of_eq_zero_or_self
intro n; cases h : f n <;> simp [h]
#align cardinal.summable_cantor_function Cardinal.summable_cantor_function
def cantorFunction (c : ℝ) (f : ℕ → Bool) : ℝ :=
∑' n, cantorFunctionAux c f n
#align cardinal.cantor_function Cardinal.cantorFunction
theorem cantorFunction_le (h1 : 0 ≤ c) (h2 : c < 1) (h3 : ∀ n, f n → g n) :
cantorFunction c f ≤ cantorFunction c g := by
apply tsum_le_tsum _ (summable_cantor_function f h1 h2) (summable_cantor_function g h1 h2)
intro n; cases h : f n
· simp [h, cantorFunctionAux_nonneg h1]
replace h3 : g n = true := h3 n h; simp [h, h3]
#align cardinal.cantor_function_le Cardinal.cantorFunction_le
theorem cantorFunction_succ (f : ℕ → Bool) (h1 : 0 ≤ c) (h2 : c < 1) :
cantorFunction c f = cond (f 0) 1 0 + c * cantorFunction c fun n => f (n + 1) := by
rw [cantorFunction, tsum_eq_zero_add (summable_cantor_function f h1 h2)]
rw [cantorFunctionAux_succ, tsum_mul_left, cantorFunctionAux, _root_.pow_zero]
rfl
#align cardinal.cantor_function_succ Cardinal.cantorFunction_succ
theorem increasing_cantorFunction (h1 : 0 < c) (h2 : c < 1 / 2) {n : ℕ} {f g : ℕ → Bool}
(hn : ∀ k < n, f k = g k) (fn : f n = false) (gn : g n = true) :
cantorFunction c f < cantorFunction c g := by
have h3 : c < 1 := by
apply h2.trans
norm_num
induction' n with n ih generalizing f g
· let f_max : ℕ → Bool := fun n => Nat.rec false (fun _ _ => true) n
have hf_max : ∀ n, f n → f_max n := by
intro n hn
cases n
· rw [fn] at hn
contradiction
apply rfl
let g_min : ℕ → Bool := fun n => Nat.rec true (fun _ _ => false) n
have hg_min : ∀ n, g_min n → g n := by
intro n hn
cases n
· rw [gn]
simp at hn
apply (cantorFunction_le (le_of_lt h1) h3 hf_max).trans_lt
refine lt_of_lt_of_le ?_ (cantorFunction_le (le_of_lt h1) h3 hg_min)
have : c / (1 - c) < 1 := by
rw [div_lt_one, lt_sub_iff_add_lt]
· convert _root_.add_lt_add h2 h2
norm_num
rwa [sub_pos]
convert this
· rw [cantorFunction_succ _ (le_of_lt h1) h3, div_eq_mul_inv, ←
tsum_geometric_of_lt_one (le_of_lt h1) h3]
apply zero_add
· refine (tsum_eq_single 0 ?_).trans ?_
· intro n hn
cases n
· contradiction
rfl
· exact cantorFunctionAux_zero _
rw [cantorFunction_succ f (le_of_lt h1) h3, cantorFunction_succ g (le_of_lt h1) h3]
rw [hn 0 <| zero_lt_succ n]
apply add_lt_add_left
rw [mul_lt_mul_left h1]
exact ih (fun k hk => hn _ <| Nat.succ_lt_succ hk) fn gn
#align cardinal.increasing_cantor_function Cardinal.increasing_cantorFunction
| Mathlib/Data/Real/Cardinality.lean | 168 | 197 | theorem cantorFunction_injective (h1 : 0 < c) (h2 : c < 1 / 2) :
Function.Injective (cantorFunction c) := by |
intro f g hfg
classical
by_contra h
revert hfg
have : ∃ n, f n ≠ g n := by
rw [← not_forall]
intro h'
apply h
ext
apply h'
let n := Nat.find this
have hn : ∀ k : ℕ, k < n → f k = g k := by
intro k hk
apply of_not_not
exact Nat.find_min this hk
cases fn : f n
· apply _root_.ne_of_lt
refine increasing_cantorFunction h1 h2 hn fn ?_
apply Bool.eq_true_of_not_eq_false
rw [← fn]
apply Ne.symm
exact Nat.find_spec this
· apply _root_.ne_of_gt
refine increasing_cantorFunction h1 h2 (fun k hk => (hn k hk).symm) ?_ fn
apply Bool.eq_false_of_not_eq_true
rw [← fn]
apply Ne.symm
exact Nat.find_spec this
| 28 |
import Mathlib.LinearAlgebra.CliffordAlgebra.Basic
import Mathlib.Data.ZMod.Basic
import Mathlib.RingTheory.GradedAlgebra.Basic
#align_import linear_algebra.clifford_algebra.grading from "leanprover-community/mathlib"@"34020e531ebc4e8aac6d449d9eecbcd1508ea8d0"
namespace CliffordAlgebra
variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M]
variable {Q : QuadraticForm R M}
open scoped DirectSum
variable (Q)
def evenOdd (i : ZMod 2) : Submodule R (CliffordAlgebra Q) :=
⨆ j : { n : ℕ // ↑n = i }, LinearMap.range (ι Q) ^ (j : ℕ)
#align clifford_algebra.even_odd CliffordAlgebra.evenOdd
theorem one_le_evenOdd_zero : 1 ≤ evenOdd Q 0 := by
refine le_trans ?_ (le_iSup _ ⟨0, Nat.cast_zero⟩)
exact (pow_zero _).ge
#align clifford_algebra.one_le_even_odd_zero CliffordAlgebra.one_le_evenOdd_zero
theorem range_ι_le_evenOdd_one : LinearMap.range (ι Q) ≤ evenOdd Q 1 := by
refine le_trans ?_ (le_iSup _ ⟨1, Nat.cast_one⟩)
exact (pow_one _).ge
#align clifford_algebra.range_ι_le_even_odd_one CliffordAlgebra.range_ι_le_evenOdd_one
theorem ι_mem_evenOdd_one (m : M) : ι Q m ∈ evenOdd Q 1 :=
range_ι_le_evenOdd_one Q <| LinearMap.mem_range_self _ m
#align clifford_algebra.ι_mem_even_odd_one CliffordAlgebra.ι_mem_evenOdd_one
theorem ι_mul_ι_mem_evenOdd_zero (m₁ m₂ : M) : ι Q m₁ * ι Q m₂ ∈ evenOdd Q 0 :=
Submodule.mem_iSup_of_mem ⟨2, rfl⟩
(by
rw [Subtype.coe_mk, pow_two]
exact
Submodule.mul_mem_mul (LinearMap.mem_range_self (ι Q) m₁)
(LinearMap.mem_range_self (ι Q) m₂))
#align clifford_algebra.ι_mul_ι_mem_even_odd_zero CliffordAlgebra.ι_mul_ι_mem_evenOdd_zero
theorem evenOdd_mul_le (i j : ZMod 2) : evenOdd Q i * evenOdd Q j ≤ evenOdd Q (i + j) := by
simp_rw [evenOdd, Submodule.iSup_eq_span, Submodule.span_mul_span]
apply Submodule.span_mono
simp_rw [Set.iUnion_mul, Set.mul_iUnion, Set.iUnion_subset_iff, Set.mul_subset_iff]
rintro ⟨xi, rfl⟩ ⟨yi, rfl⟩ x hx y hy
refine Set.mem_iUnion.mpr ⟨⟨xi + yi, Nat.cast_add _ _⟩, ?_⟩
simp only [Subtype.coe_mk, Nat.cast_add, pow_add]
exact Submodule.mul_mem_mul hx hy
#align clifford_algebra.even_odd_mul_le CliffordAlgebra.evenOdd_mul_le
instance evenOdd.gradedMonoid : SetLike.GradedMonoid (evenOdd Q) where
one_mem := Submodule.one_le.mp (one_le_evenOdd_zero Q)
mul_mem _i _j _p _q hp hq := Submodule.mul_le.mp (evenOdd_mul_le Q _ _) _ hp _ hq
#align clifford_algebra.even_odd.graded_monoid CliffordAlgebra.evenOdd.gradedMonoid
-- Porting note: added `protected`
protected def GradedAlgebra.ι : M →ₗ[R] ⨁ i : ZMod 2, evenOdd Q i :=
DirectSum.lof R (ZMod 2) (fun i => ↥(evenOdd Q i)) 1 ∘ₗ (ι Q).codRestrict _ (ι_mem_evenOdd_one Q)
#align clifford_algebra.graded_algebra.ι CliffordAlgebra.GradedAlgebra.ι
theorem GradedAlgebra.ι_apply (m : M) :
GradedAlgebra.ι Q m = DirectSum.of (fun i => ↥(evenOdd Q i)) 1 ⟨ι Q m, ι_mem_evenOdd_one Q m⟩ :=
rfl
#align clifford_algebra.graded_algebra.ι_apply CliffordAlgebra.GradedAlgebra.ι_apply
nonrec theorem GradedAlgebra.ι_sq_scalar (m : M) :
GradedAlgebra.ι Q m * GradedAlgebra.ι Q m = algebraMap R _ (Q m) := by
rw [GradedAlgebra.ι_apply Q, DirectSum.of_mul_of, DirectSum.algebraMap_apply]
exact DirectSum.of_eq_of_gradedMonoid_eq (Sigma.subtype_ext rfl <| ι_sq_scalar _ _)
#align clifford_algebra.graded_algebra.ι_sq_scalar CliffordAlgebra.GradedAlgebra.ι_sq_scalar
| Mathlib/LinearAlgebra/CliffordAlgebra/Grading.lean | 91 | 122 | theorem GradedAlgebra.lift_ι_eq (i' : ZMod 2) (x' : evenOdd Q i') :
-- Porting note: added a second `by apply`
lift Q ⟨by apply GradedAlgebra.ι Q, by apply GradedAlgebra.ι_sq_scalar Q⟩ x' =
DirectSum.of (fun i => evenOdd Q i) i' x' := by |
cases' x' with x' hx'
dsimp only [Subtype.coe_mk, DirectSum.lof_eq_of]
induction hx' using Submodule.iSup_induction' with
| mem i x hx =>
obtain ⟨i, rfl⟩ := i
-- Porting note: `dsimp only [Subtype.coe_mk] at hx` doesn't work, use `change` instead
change x ∈ LinearMap.range (ι Q) ^ i at hx
induction hx using Submodule.pow_induction_on_left' with
| algebraMap r =>
rw [AlgHom.commutes, DirectSum.algebraMap_apply]; rfl
| add x y i hx hy ihx ihy =>
-- Note: in #8386 `map_add` had to be specialized to avoid a timeout
-- (the definition was already very slow)
rw [AlgHom.map_add, ihx, ihy, ← AddMonoidHom.map_add]
rfl
| mem_mul m hm i x hx ih =>
obtain ⟨_, rfl⟩ := hm
rw [AlgHom.map_mul, ih, lift_ι_apply, GradedAlgebra.ι_apply Q, DirectSum.of_mul_of]
refine DirectSum.of_eq_of_gradedMonoid_eq (Sigma.subtype_ext ?_ ?_) <;>
dsimp only [GradedMonoid.mk, Subtype.coe_mk]
· rw [Nat.succ_eq_add_one, add_comm, Nat.cast_add, Nat.cast_one]
rfl
| zero =>
rw [AlgHom.map_zero]
apply Eq.symm
apply DFinsupp.single_eq_zero.mpr; rfl
| add x y hx hy ihx ihy =>
rw [AlgHom.map_add, ihx, ihy, ← AddMonoidHom.map_add]; rfl
| 28 |
import Mathlib.CategoryTheory.Abelian.Basic
#align_import category_theory.idempotents.basic from "leanprover-community/mathlib"@"3a061790136d13594ec10c7c90d202335ac5d854"
open CategoryTheory
open CategoryTheory.Category
open CategoryTheory.Limits
open CategoryTheory.Preadditive
open Opposite
namespace CategoryTheory
variable (C : Type*) [Category C]
class IsIdempotentComplete : Prop where
idempotents_split :
∀ (X : C) (p : X ⟶ X), p ≫ p = p → ∃ (Y : C) (i : Y ⟶ X) (e : X ⟶ Y), i ≫ e = 𝟙 Y ∧ e ≫ i = p
#align category_theory.is_idempotent_complete CategoryTheory.IsIdempotentComplete
namespace Idempotents
| Mathlib/CategoryTheory/Idempotents/Basic.lean | 63 | 92 | theorem isIdempotentComplete_iff_hasEqualizer_of_id_and_idempotent :
IsIdempotentComplete C ↔ ∀ (X : C) (p : X ⟶ X), p ≫ p = p → HasEqualizer (𝟙 X) p := by |
constructor
· intro
intro X p hp
rcases IsIdempotentComplete.idempotents_split X p hp with ⟨Y, i, e, ⟨h₁, h₂⟩⟩
exact
⟨Nonempty.intro
{ cone := Fork.ofι i (show i ≫ 𝟙 X = i ≫ p by rw [comp_id, ← h₂, ← assoc, h₁, id_comp])
isLimit := by
apply Fork.IsLimit.mk'
intro s
refine ⟨s.ι ≫ e, ?_⟩
constructor
· erw [assoc, h₂, ← Limits.Fork.condition s, comp_id]
· intro m hm
rw [Fork.ι_ofι] at hm
rw [← hm]
simp only [← hm, assoc, h₁]
exact (comp_id m).symm }⟩
· intro h
refine ⟨?_⟩
intro X p hp
haveI : HasEqualizer (𝟙 X) p := h X p hp
refine ⟨equalizer (𝟙 X) p, equalizer.ι (𝟙 X) p,
equalizer.lift p (show p ≫ 𝟙 X = p ≫ p by rw [hp, comp_id]), ?_, equalizer.lift_ι _ _⟩
ext
simp only [assoc, limit.lift_π, Eq.ndrec, id_eq, eq_mpr_eq_cast, Fork.ofι_pt,
Fork.ofι_π_app, id_comp]
rw [← equalizer.condition, comp_id]
| 28 |
import Mathlib.Algebra.Field.Basic
import Mathlib.Algebra.Order.Group.Basic
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.RingTheory.Int.Basic
import Mathlib.Tactic.Ring
import Mathlib.Tactic.FieldSimp
import Mathlib.Data.Int.NatPrime
import Mathlib.Data.ZMod.Basic
#align_import number_theory.pythagorean_triples from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
theorem sq_ne_two_fin_zmod_four (z : ZMod 4) : z * z ≠ 2 := by
change Fin 4 at z
fin_cases z <;> decide
#align sq_ne_two_fin_zmod_four sq_ne_two_fin_zmod_four
theorem Int.sq_ne_two_mod_four (z : ℤ) : z * z % 4 ≠ 2 := by
suffices ¬z * z % (4 : ℕ) = 2 % (4 : ℕ) by exact this
rw [← ZMod.intCast_eq_intCast_iff']
simpa using sq_ne_two_fin_zmod_four _
#align int.sq_ne_two_mod_four Int.sq_ne_two_mod_four
noncomputable section
open scoped Classical
def PythagoreanTriple (x y z : ℤ) : Prop :=
x * x + y * y = z * z
#align pythagorean_triple PythagoreanTriple
theorem pythagoreanTriple_comm {x y z : ℤ} : PythagoreanTriple x y z ↔ PythagoreanTriple y x z := by
delta PythagoreanTriple
rw [add_comm]
#align pythagorean_triple_comm pythagoreanTriple_comm
theorem PythagoreanTriple.zero : PythagoreanTriple 0 0 0 := by
simp only [PythagoreanTriple, zero_mul, zero_add]
#align pythagorean_triple.zero PythagoreanTriple.zero
namespace PythagoreanTriple
variable {x y z : ℤ} (h : PythagoreanTriple x y z)
theorem eq : x * x + y * y = z * z :=
h
#align pythagorean_triple.eq PythagoreanTriple.eq
@[symm]
theorem symm : PythagoreanTriple y x z := by rwa [pythagoreanTriple_comm]
#align pythagorean_triple.symm PythagoreanTriple.symm
theorem mul (k : ℤ) : PythagoreanTriple (k * x) (k * y) (k * z) :=
calc
k * x * (k * x) + k * y * (k * y) = k ^ 2 * (x * x + y * y) := by ring
_ = k ^ 2 * (z * z) := by rw [h.eq]
_ = k * z * (k * z) := by ring
#align pythagorean_triple.mul PythagoreanTriple.mul
theorem mul_iff (k : ℤ) (hk : k ≠ 0) :
PythagoreanTriple (k * x) (k * y) (k * z) ↔ PythagoreanTriple x y z := by
refine ⟨?_, fun h => h.mul k⟩
simp only [PythagoreanTriple]
intro h
rw [← mul_left_inj' (mul_ne_zero hk hk)]
convert h using 1 <;> ring
#align pythagorean_triple.mul_iff PythagoreanTriple.mul_iff
@[nolint unusedArguments]
def IsClassified (_ : PythagoreanTriple x y z) :=
∃ k m n : ℤ,
(x = k * (m ^ 2 - n ^ 2) ∧ y = k * (2 * m * n) ∨
x = k * (2 * m * n) ∧ y = k * (m ^ 2 - n ^ 2)) ∧
Int.gcd m n = 1
#align pythagorean_triple.is_classified PythagoreanTriple.IsClassified
@[nolint unusedArguments]
def IsPrimitiveClassified (_ : PythagoreanTriple x y z) :=
∃ m n : ℤ,
(x = m ^ 2 - n ^ 2 ∧ y = 2 * m * n ∨ x = 2 * m * n ∧ y = m ^ 2 - n ^ 2) ∧
Int.gcd m n = 1 ∧ (m % 2 = 0 ∧ n % 2 = 1 ∨ m % 2 = 1 ∧ n % 2 = 0)
#align pythagorean_triple.is_primitive_classified PythagoreanTriple.IsPrimitiveClassified
theorem mul_isClassified (k : ℤ) (hc : h.IsClassified) : (h.mul k).IsClassified := by
obtain ⟨l, m, n, ⟨⟨rfl, rfl⟩ | ⟨rfl, rfl⟩, co⟩⟩ := hc
· use k * l, m, n
apply And.intro _ co
left
constructor <;> ring
· use k * l, m, n
apply And.intro _ co
right
constructor <;> ring
#align pythagorean_triple.mul_is_classified PythagoreanTriple.mul_isClassified
| Mathlib/NumberTheory/PythagoreanTriples.lean | 132 | 161 | theorem even_odd_of_coprime (hc : Int.gcd x y = 1) :
x % 2 = 0 ∧ y % 2 = 1 ∨ x % 2 = 1 ∧ y % 2 = 0 := by |
cases' Int.emod_two_eq_zero_or_one x with hx hx <;>
cases' Int.emod_two_eq_zero_or_one y with hy hy
-- x even, y even
· exfalso
apply Nat.not_coprime_of_dvd_of_dvd (by decide : 1 < 2) _ _ hc
· apply Int.natCast_dvd.1
apply Int.dvd_of_emod_eq_zero hx
· apply Int.natCast_dvd.1
apply Int.dvd_of_emod_eq_zero hy
-- x even, y odd
· left
exact ⟨hx, hy⟩
-- x odd, y even
· right
exact ⟨hx, hy⟩
-- x odd, y odd
· exfalso
obtain ⟨x0, y0, rfl, rfl⟩ : ∃ x0 y0, x = x0 * 2 + 1 ∧ y = y0 * 2 + 1 := by
cases' exists_eq_mul_left_of_dvd (Int.dvd_sub_of_emod_eq hx) with x0 hx2
cases' exists_eq_mul_left_of_dvd (Int.dvd_sub_of_emod_eq hy) with y0 hy2
rw [sub_eq_iff_eq_add] at hx2 hy2
exact ⟨x0, y0, hx2, hy2⟩
apply Int.sq_ne_two_mod_four z
rw [show z * z = 4 * (x0 * x0 + x0 + y0 * y0 + y0) + 2 by
rw [← h.eq]
ring]
simp only [Int.add_emod, Int.mul_emod_right, zero_add]
decide
| 28 |
import Mathlib.CategoryTheory.Extensive
import Mathlib.CategoryTheory.Limits.Shapes.KernelPair
#align_import category_theory.adhesive from "leanprover-community/mathlib"@"afff1f24a6b68d0077c9d63782a1d093e337758c"
namespace CategoryTheory
open Limits
universe v' u' v u
variable {J : Type v'} [Category.{u'} J] {C : Type u} [Category.{v} C]
variable {W X Y Z : C} {f : W ⟶ X} {g : W ⟶ Y} {h : X ⟶ Z} {i : Y ⟶ Z}
-- This only makes sense when the original diagram is a pushout.
@[nolint unusedArguments]
def IsPushout.IsVanKampen (_ : IsPushout f g h i) : Prop :=
∀ ⦃W' X' Y' Z' : C⦄ (f' : W' ⟶ X') (g' : W' ⟶ Y') (h' : X' ⟶ Z') (i' : Y' ⟶ Z') (αW : W' ⟶ W)
(αX : X' ⟶ X) (αY : Y' ⟶ Y) (αZ : Z' ⟶ Z) (_ : IsPullback f' αW αX f)
(_ : IsPullback g' αW αY g) (_ : CommSq h' αX αZ h) (_ : CommSq i' αY αZ i)
(_ : CommSq f' g' h' i'), IsPushout f' g' h' i' ↔ IsPullback h' αX αZ h ∧ IsPullback i' αY αZ i
#align category_theory.is_pushout.is_van_kampen CategoryTheory.IsPushout.IsVanKampen
theorem IsPushout.IsVanKampen.flip {H : IsPushout f g h i} (H' : H.IsVanKampen) :
H.flip.IsVanKampen := by
introv W' hf hg hh hi w
simpa only [IsPushout.flip_iff, IsPullback.flip_iff, and_comm] using
H' g' f' i' h' αW αY αX αZ hg hf hi hh w.flip
#align category_theory.is_pushout.is_van_kampen.flip CategoryTheory.IsPushout.IsVanKampen.flip
theorem IsPushout.isVanKampen_iff (H : IsPushout f g h i) :
H.IsVanKampen ↔ IsVanKampenColimit (PushoutCocone.mk h i H.w) := by
constructor
· intro H F' c' α fα eα hα
refine Iff.trans ?_
((H (F'.map WalkingSpan.Hom.fst) (F'.map WalkingSpan.Hom.snd) (c'.ι.app _) (c'.ι.app _)
(α.app _) (α.app _) (α.app _) fα (by convert hα WalkingSpan.Hom.fst)
(by convert hα WalkingSpan.Hom.snd) ?_ ?_ ?_).trans ?_)
· have : F'.map WalkingSpan.Hom.fst ≫ c'.ι.app WalkingSpan.left =
F'.map WalkingSpan.Hom.snd ≫ c'.ι.app WalkingSpan.right := by
simp only [Cocone.w]
rw [(IsColimit.equivOfNatIsoOfIso (diagramIsoSpan F') c' (PushoutCocone.mk _ _ this)
_).nonempty_congr]
· exact ⟨fun h => ⟨⟨this⟩, h⟩, fun h => h.2⟩
· refine Cocones.ext (Iso.refl c'.pt) ?_
rintro (_ | _ | _) <;> dsimp <;>
simp only [c'.w, Category.assoc, Category.id_comp, Category.comp_id]
· exact ⟨NatTrans.congr_app eα.symm _⟩
· exact ⟨NatTrans.congr_app eα.symm _⟩
· exact ⟨by simp⟩
constructor
· rintro ⟨h₁, h₂⟩ (_ | _ | _)
· rw [← c'.w WalkingSpan.Hom.fst]; exact (hα WalkingSpan.Hom.fst).paste_horiz h₁
exacts [h₁, h₂]
· intro h; exact ⟨h _, h _⟩
· introv H W' hf hg hh hi w
refine
Iff.trans ?_ ((H w.cocone ⟨by rintro (_ | _ | _); exacts [αW, αX, αY], ?_⟩ αZ ?_ ?_).trans ?_)
rotate_left
· rintro i _ (_ | _ | _)
· dsimp; simp only [Functor.map_id, Category.comp_id, Category.id_comp]
exacts [hf.w, hg.w]
· ext (_ | _ | _)
· dsimp; rw [PushoutCocone.condition_zero]; erw [Category.assoc, hh.w, hf.w_assoc]
exacts [hh.w.symm, hi.w.symm]
· rintro i _ (_ | _ | _)
· dsimp; simp_rw [Functor.map_id]
exact IsPullback.of_horiz_isIso ⟨by rw [Category.comp_id, Category.id_comp]⟩
exacts [hf, hg]
· constructor
· intro h; exact ⟨h WalkingCospan.left, h WalkingCospan.right⟩
· rintro ⟨h₁, h₂⟩ (_ | _ | _)
· dsimp; rw [PushoutCocone.condition_zero]; exact hf.paste_horiz h₁
exacts [h₁, h₂]
· exact ⟨fun h => h.2, fun h => ⟨w, h⟩⟩
#align category_theory.is_pushout.is_van_kampen_iff CategoryTheory.IsPushout.isVanKampen_iff
| Mathlib/CategoryTheory/Adhesive.lean | 113 | 143 | theorem is_coprod_iff_isPushout {X E Y YE : C} (c : BinaryCofan X E) (hc : IsColimit c) {f : X ⟶ Y}
{iY : Y ⟶ YE} {fE : c.pt ⟶ YE} (H : CommSq f c.inl iY fE) :
Nonempty (IsColimit (BinaryCofan.mk (c.inr ≫ fE) iY)) ↔ IsPushout f c.inl iY fE := by |
constructor
· rintro ⟨h⟩
refine ⟨H, ⟨Limits.PushoutCocone.isColimitAux' _ ?_⟩⟩
intro s
dsimp only [PushoutCocone.inr, PushoutCocone.mk] -- Porting note: Originally `dsimp`
refine ⟨h.desc (BinaryCofan.mk (c.inr ≫ s.inr) s.inl), h.fac _ ⟨WalkingPair.right⟩, ?_, ?_⟩
· apply BinaryCofan.IsColimit.hom_ext hc
· rw [← H.w_assoc]; erw [h.fac _ ⟨WalkingPair.right⟩]; exact s.condition
· rw [← Category.assoc]; exact h.fac _ ⟨WalkingPair.left⟩
· intro m e₁ e₂
apply BinaryCofan.IsColimit.hom_ext h
· dsimp only [BinaryCofan.mk, id] -- Porting note: Originally `dsimp`
rw [Category.assoc, e₂, eq_comm]; exact h.fac _ ⟨WalkingPair.left⟩
· refine e₁.trans (Eq.symm ?_); exact h.fac _ _
· refine fun H => ⟨?_⟩
fapply Limits.BinaryCofan.isColimitMk
· exact fun s => H.isColimit.desc (PushoutCocone.mk s.inr _ <|
(hc.fac (BinaryCofan.mk (f ≫ s.inr) s.inl) ⟨WalkingPair.left⟩).symm)
· intro s
erw [Category.assoc, H.isColimit.fac _ WalkingSpan.right, hc.fac]; rfl
· intro s; exact H.isColimit.fac _ WalkingSpan.left
· intro s m e₁ e₂
apply PushoutCocone.IsColimit.hom_ext H.isColimit
· symm; exact (H.isColimit.fac _ WalkingSpan.left).trans e₂.symm
· erw [H.isColimit.fac _ WalkingSpan.right]
apply BinaryCofan.IsColimit.hom_ext hc
· erw [hc.fac, ← H.w_assoc, e₂]; rfl
· refine ((Category.assoc _ _ _).symm.trans e₁).trans ?_; symm; exact hc.fac _ _
| 28 |
import Mathlib.Analysis.LocallyConvex.Bounded
import Mathlib.Topology.Algebra.Module.StrongTopology
#align_import analysis.normed_space.compact_operator from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open Function Set Filter Bornology Metric Pointwise Topology
def IsCompactOperator {M₁ M₂ : Type*} [Zero M₁] [TopologicalSpace M₁] [TopologicalSpace M₂]
(f : M₁ → M₂) : Prop :=
∃ K, IsCompact K ∧ f ⁻¹' K ∈ (𝓝 0 : Filter M₁)
#align is_compact_operator IsCompactOperator
theorem isCompactOperator_zero {M₁ M₂ : Type*} [Zero M₁] [TopologicalSpace M₁]
[TopologicalSpace M₂] [Zero M₂] : IsCompactOperator (0 : M₁ → M₂) :=
⟨{0}, isCompact_singleton, mem_of_superset univ_mem fun _ _ => rfl⟩
#align is_compact_operator_zero isCompactOperator_zero
section Characterizations
section
variable {R₁ R₂ : Type*} [Semiring R₁] [Semiring R₂] {σ₁₂ : R₁ →+* R₂} {M₁ M₂ : Type*}
[TopologicalSpace M₁] [AddCommMonoid M₁] [TopologicalSpace M₂]
theorem isCompactOperator_iff_exists_mem_nhds_image_subset_compact (f : M₁ → M₂) :
IsCompactOperator f ↔ ∃ V ∈ (𝓝 0 : Filter M₁), ∃ K : Set M₂, IsCompact K ∧ f '' V ⊆ K :=
⟨fun ⟨K, hK, hKf⟩ => ⟨f ⁻¹' K, hKf, K, hK, image_preimage_subset _ _⟩, fun ⟨_, hV, K, hK, hVK⟩ =>
⟨K, hK, mem_of_superset hV (image_subset_iff.mp hVK)⟩⟩
#align is_compact_operator_iff_exists_mem_nhds_image_subset_compact isCompactOperator_iff_exists_mem_nhds_image_subset_compact
theorem isCompactOperator_iff_exists_mem_nhds_isCompact_closure_image [T2Space M₂] (f : M₁ → M₂) :
IsCompactOperator f ↔ ∃ V ∈ (𝓝 0 : Filter M₁), IsCompact (closure <| f '' V) := by
rw [isCompactOperator_iff_exists_mem_nhds_image_subset_compact]
exact
⟨fun ⟨V, hV, K, hK, hKV⟩ => ⟨V, hV, hK.closure_of_subset hKV⟩,
fun ⟨V, hV, hVc⟩ => ⟨V, hV, closure (f '' V), hVc, subset_closure⟩⟩
#align is_compact_operator_iff_exists_mem_nhds_is_compact_closure_image isCompactOperator_iff_exists_mem_nhds_isCompact_closure_image
end
section Continuous
variable {𝕜₁ 𝕜₂ : Type*} [NontriviallyNormedField 𝕜₁] [NontriviallyNormedField 𝕜₂]
{σ₁₂ : 𝕜₁ →+* 𝕜₂} [RingHomIsometric σ₁₂] {M₁ M₂ : Type*} [TopologicalSpace M₁] [AddCommGroup M₁]
[TopologicalSpace M₂] [AddCommGroup M₂] [Module 𝕜₁ M₁] [Module 𝕜₂ M₂] [TopologicalAddGroup M₁]
[ContinuousConstSMul 𝕜₁ M₁] [TopologicalAddGroup M₂] [ContinuousSMul 𝕜₂ M₂]
@[continuity]
| Mathlib/Analysis/NormedSpace/CompactOperator.lean | 336 | 365 | theorem IsCompactOperator.continuous {f : M₁ →ₛₗ[σ₁₂] M₂} (hf : IsCompactOperator f) :
Continuous f := by |
letI : UniformSpace M₂ := TopologicalAddGroup.toUniformSpace _
haveI : UniformAddGroup M₂ := comm_topologicalAddGroup_is_uniform
-- Since `f` is linear, we only need to show that it is continuous at zero.
-- Let `U` be a neighborhood of `0` in `M₂`.
refine continuous_of_continuousAt_zero f fun U hU => ?_
rw [map_zero] at hU
-- The compactness of `f` gives us a compact set `K : Set M₂` such that `f ⁻¹' K` is a
-- neighborhood of `0` in `M₁`.
rcases hf with ⟨K, hK, hKf⟩
-- But any compact set is totally bounded, hence Von-Neumann bounded. Thus, `K` absorbs `U`.
-- This gives `r > 0` such that `∀ a : 𝕜₂, r ≤ ‖a‖ → K ⊆ a • U`.
rcases (hK.totallyBounded.isVonNBounded 𝕜₂ hU).exists_pos with ⟨r, hr, hrU⟩
-- Choose `c : 𝕜₂` with `r < ‖c‖`.
rcases NormedField.exists_lt_norm 𝕜₁ r with ⟨c, hc⟩
have hcnz : c ≠ 0 := ne_zero_of_norm_ne_zero (hr.trans hc).ne.symm
-- We have `f ⁻¹' ((σ₁₂ c⁻¹) • K) = c⁻¹ • f ⁻¹' K ∈ 𝓝 0`. Thus, showing that
-- `(σ₁₂ c⁻¹) • K ⊆ U` is enough to deduce that `f ⁻¹' U ∈ 𝓝 0`.
suffices (σ₁₂ <| c⁻¹) • K ⊆ U by
refine mem_of_superset ?_ this
have : IsUnit c⁻¹ := hcnz.isUnit.inv
rwa [mem_map, preimage_smul_setₛₗ _ _ _ f this, set_smul_mem_nhds_zero_iff (inv_ne_zero hcnz)]
-- Since `σ₁₂ c⁻¹` = `(σ₁₂ c)⁻¹`, we have to prove that `K ⊆ σ₁₂ c • U`.
rw [map_inv₀, ← subset_set_smul_iff₀ ((map_ne_zero σ₁₂).mpr hcnz)]
-- But `σ₁₂` is isometric, so `‖σ₁₂ c‖ = ‖c‖ > r`, which concludes the argument since
-- `∀ a : 𝕜₂, r ≤ ‖a‖ → K ⊆ a • U`.
refine hrU (σ₁₂ c) ?_
rw [RingHomIsometric.is_iso]
exact hc.le
| 28 |
import Mathlib.Data.Fintype.Card
import Mathlib.Computability.Language
import Mathlib.Tactic.NormNum
#align_import computability.DFA from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514"
open Computability
universe u v
-- Porting note: Required as `DFA` is used in mathlib3
set_option linter.uppercaseLean3 false
structure DFA (α : Type u) (σ : Type v) where
step : σ → α → σ
start : σ
accept : Set σ
#align DFA DFA
namespace DFA
variable {α : Type u} {σ : Type v} (M : DFA α σ)
instance [Inhabited σ] : Inhabited (DFA α σ) :=
⟨DFA.mk (fun _ _ => default) default ∅⟩
def evalFrom (start : σ) : List α → σ :=
List.foldl M.step start
#align DFA.eval_from DFA.evalFrom
@[simp]
theorem evalFrom_nil (s : σ) : M.evalFrom s [] = s :=
rfl
#align DFA.eval_from_nil DFA.evalFrom_nil
@[simp]
theorem evalFrom_singleton (s : σ) (a : α) : M.evalFrom s [a] = M.step s a :=
rfl
#align DFA.eval_from_singleton DFA.evalFrom_singleton
@[simp]
theorem evalFrom_append_singleton (s : σ) (x : List α) (a : α) :
M.evalFrom s (x ++ [a]) = M.step (M.evalFrom s x) a := by
simp only [evalFrom, List.foldl_append, List.foldl_cons, List.foldl_nil]
#align DFA.eval_from_append_singleton DFA.evalFrom_append_singleton
def eval : List α → σ :=
M.evalFrom M.start
#align DFA.eval DFA.eval
@[simp]
theorem eval_nil : M.eval [] = M.start :=
rfl
#align DFA.eval_nil DFA.eval_nil
@[simp]
theorem eval_singleton (a : α) : M.eval [a] = M.step M.start a :=
rfl
#align DFA.eval_singleton DFA.eval_singleton
@[simp]
theorem eval_append_singleton (x : List α) (a : α) : M.eval (x ++ [a]) = M.step (M.eval x) a :=
evalFrom_append_singleton _ _ _ _
#align DFA.eval_append_singleton DFA.eval_append_singleton
theorem evalFrom_of_append (start : σ) (x y : List α) :
M.evalFrom start (x ++ y) = M.evalFrom (M.evalFrom start x) y :=
x.foldl_append _ _ y
#align DFA.eval_from_of_append DFA.evalFrom_of_append
def accepts : Language α := {x | M.eval x ∈ M.accept}
#align DFA.accepts DFA.accepts
theorem mem_accepts (x : List α) : x ∈ M.accepts ↔ M.evalFrom M.start x ∈ M.accept := by rfl
#align DFA.mem_accepts DFA.mem_accepts
| Mathlib/Computability/DFA.lean | 101 | 134 | theorem evalFrom_split [Fintype σ] {x : List α} {s t : σ} (hlen : Fintype.card σ ≤ x.length)
(hx : M.evalFrom s x = t) :
∃ q a b c,
x = a ++ b ++ c ∧
a.length + b.length ≤ Fintype.card σ ∧
b ≠ [] ∧ M.evalFrom s a = q ∧ M.evalFrom q b = q ∧ M.evalFrom q c = t := by |
obtain ⟨n, m, hneq, heq⟩ :=
Fintype.exists_ne_map_eq_of_card_lt
(fun n : Fin (Fintype.card σ + 1) => M.evalFrom s (x.take n)) (by norm_num)
wlog hle : (n : ℕ) ≤ m
· exact this _ hlen hx _ _ hneq.symm heq.symm (le_of_not_le hle)
have hm : (m : ℕ) ≤ Fintype.card σ := Fin.is_le m
refine
⟨M.evalFrom s ((x.take m).take n), (x.take m).take n, (x.take m).drop n,
x.drop m, ?_, ?_, ?_, by rfl, ?_⟩
· rw [List.take_append_drop, List.take_append_drop]
· simp only [List.length_drop, List.length_take]
rw [min_eq_left (hm.trans hlen), min_eq_left hle, add_tsub_cancel_of_le hle]
exact hm
· intro h
have hlen' := congr_arg List.length h
simp only [List.length_drop, List.length, List.length_take] at hlen'
rw [min_eq_left, tsub_eq_zero_iff_le] at hlen'
· apply hneq
apply le_antisymm
assumption'
exact hm.trans hlen
have hq : M.evalFrom (M.evalFrom s ((x.take m).take n)) ((x.take m).drop n) =
M.evalFrom s ((x.take m).take n) := by
rw [List.take_take, min_eq_left hle, ← evalFrom_of_append, heq, ← min_eq_left hle, ←
List.take_take, min_eq_left hle, List.take_append_drop]
use hq
rwa [← hq, ← evalFrom_of_append, ← evalFrom_of_append, ← List.append_assoc,
List.take_append_drop, List.take_append_drop]
| 28 |
import Mathlib.NumberTheory.LegendreSymbol.Basic
import Mathlib.Analysis.Normed.Field.Basic
#align_import number_theory.legendre_symbol.gauss_eisenstein_lemmas from "leanprover-community/mathlib"@"8818fdefc78642a7e6afcd20be5c184f3c7d9699"
open Finset Nat
open scoped Nat
section GaussEisenstein
namespace ZMod
| Mathlib/NumberTheory/LegendreSymbol/GaussEisensteinLemmas.lean | 30 | 60 | theorem Ico_map_valMinAbs_natAbs_eq_Ico_map_id (p : ℕ) [hp : Fact p.Prime] (a : ZMod p)
(hap : a ≠ 0) : ((Ico 1 (p / 2).succ).1.map fun (x : ℕ) => (a * x).valMinAbs.natAbs) =
(Ico 1 (p / 2).succ).1.map fun a => a := by |
have he : ∀ {x}, x ∈ Ico 1 (p / 2).succ → x ≠ 0 ∧ x ≤ p / 2 := by
simp (config := { contextual := true }) [Nat.lt_succ_iff, Nat.succ_le_iff, pos_iff_ne_zero]
have hep : ∀ {x}, x ∈ Ico 1 (p / 2).succ → x < p := fun hx =>
lt_of_le_of_lt (he hx).2 (Nat.div_lt_self hp.1.pos (by decide))
have hpe : ∀ {x}, x ∈ Ico 1 (p / 2).succ → ¬p ∣ x := fun hx hpx =>
not_lt_of_ge (le_of_dvd (Nat.pos_of_ne_zero (he hx).1) hpx) (hep hx)
have hmem : ∀ (x : ℕ) (hx : x ∈ Ico 1 (p / 2).succ),
(a * x : ZMod p).valMinAbs.natAbs ∈ Ico 1 (p / 2).succ := by
intro x hx
simp [hap, CharP.cast_eq_zero_iff (ZMod p) p, hpe hx, Nat.lt_succ_iff, succ_le_iff,
pos_iff_ne_zero, natAbs_valMinAbs_le _]
have hsurj : ∀ (b : ℕ) (hb : b ∈ Ico 1 (p / 2).succ),
∃ x, ∃ _ : x ∈ Ico 1 (p / 2).succ, (a * x : ZMod p).valMinAbs.natAbs = b := by
intro b hb
refine ⟨(b / a : ZMod p).valMinAbs.natAbs, mem_Ico.mpr ⟨?_, ?_⟩, ?_⟩
· apply Nat.pos_of_ne_zero
simp only [div_eq_mul_inv, hap, CharP.cast_eq_zero_iff (ZMod p) p, hpe hb, not_false_iff,
valMinAbs_eq_zero, inv_eq_zero, Int.natAbs_eq_zero, Ne, _root_.mul_eq_zero, or_self_iff]
· apply lt_succ_of_le; apply natAbs_valMinAbs_le
· rw [natCast_natAbs_valMinAbs]
split_ifs
· erw [mul_div_cancel₀ _ hap, valMinAbs_def_pos, val_cast_of_lt (hep hb),
if_pos (le_of_lt_succ (mem_Ico.1 hb).2), Int.natAbs_ofNat]
· erw [mul_neg, mul_div_cancel₀ _ hap, natAbs_valMinAbs_neg, valMinAbs_def_pos,
val_cast_of_lt (hep hb), if_pos (le_of_lt_succ (mem_Ico.1 hb).2), Int.natAbs_ofNat]
exact Multiset.map_eq_map_of_bij_of_nodup _ _ (Finset.nodup _) (Finset.nodup _)
(fun x _ => (a * x : ZMod p).valMinAbs.natAbs) hmem
(inj_on_of_surj_on_of_card_le _ hmem hsurj le_rfl) hsurj (fun _ _ => rfl)
| 28 |
import Mathlib.MeasureTheory.Measure.Lebesgue.Complex
import Mathlib.MeasureTheory.Integral.DivergenceTheorem
import Mathlib.MeasureTheory.Integral.CircleIntegral
import Mathlib.Analysis.Calculus.Dslope
import Mathlib.Analysis.Analytic.Basic
import Mathlib.Analysis.Complex.ReImTopology
import Mathlib.Analysis.Calculus.DiffContOnCl
import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Data.Real.Cardinality
#align_import analysis.complex.cauchy_integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open TopologicalSpace Set MeasureTheory intervalIntegral Metric Filter Function
open scoped Interval Real NNReal ENNReal Topology
noncomputable section
universe u
variable {E : Type u} [NormedAddCommGroup E] [NormedSpace ℂ E] [CompleteSpace E]
namespace Complex
| Mathlib/Analysis/Complex/CauchyIntegral.lean | 166 | 203 | theorem integral_boundary_rect_of_hasFDerivAt_real_off_countable (f : ℂ → E) (f' : ℂ → ℂ →L[ℝ] E)
(z w : ℂ) (s : Set ℂ) (hs : s.Countable)
(Hc : ContinuousOn f ([[z.re, w.re]] ×ℂ [[z.im, w.im]]))
(Hd : ∀ x ∈ Ioo (min z.re w.re) (max z.re w.re) ×ℂ Ioo (min z.im w.im) (max z.im w.im) \ s,
HasFDerivAt f (f' x) x)
(Hi : IntegrableOn (fun z => I • f' z 1 - f' z I) ([[z.re, w.re]] ×ℂ [[z.im, w.im]])) :
(∫ x : ℝ in z.re..w.re, f (x + z.im * I)) - (∫ x : ℝ in z.re..w.re, f (x + w.im * I)) +
I • (∫ y : ℝ in z.im..w.im, f (re w + y * I)) -
I • ∫ y : ℝ in z.im..w.im, f (re z + y * I) =
∫ x : ℝ in z.re..w.re, ∫ y : ℝ in z.im..w.im, I • f' (x + y * I) 1 - f' (x + y * I) I := by |
set e : (ℝ × ℝ) ≃L[ℝ] ℂ := equivRealProdCLM.symm
have he : ∀ x y : ℝ, ↑x + ↑y * I = e (x, y) := fun x y => (mk_eq_add_mul_I x y).symm
have he₁ : e (1, 0) = 1 := rfl; have he₂ : e (0, 1) = I := rfl
simp only [he] at *
set F : ℝ × ℝ → E := f ∘ e
set F' : ℝ × ℝ → ℝ × ℝ →L[ℝ] E := fun p => (f' (e p)).comp (e : ℝ × ℝ →L[ℝ] ℂ)
have hF' : ∀ p : ℝ × ℝ, (-(I • F' p)) (1, 0) + F' p (0, 1) = -(I • f' (e p) 1 - f' (e p) I) := by
rintro ⟨x, y⟩
simp only [F', ContinuousLinearMap.neg_apply, ContinuousLinearMap.smul_apply,
ContinuousLinearMap.comp_apply, ContinuousLinearEquiv.coe_coe, he₁, he₂, neg_add_eq_sub,
neg_sub]
set R : Set (ℝ × ℝ) := [[z.re, w.re]] ×ˢ [[w.im, z.im]]
set t : Set (ℝ × ℝ) := e ⁻¹' s
rw [uIcc_comm z.im] at Hc Hi; rw [min_comm z.im, max_comm z.im] at Hd
have hR : e ⁻¹' ([[z.re, w.re]] ×ℂ [[w.im, z.im]]) = R := rfl
have htc : ContinuousOn F R := Hc.comp e.continuousOn hR.ge
have htd :
∀ p ∈ Ioo (min z.re w.re) (max z.re w.re) ×ˢ Ioo (min w.im z.im) (max w.im z.im) \ t,
HasFDerivAt F (F' p) p :=
fun p hp => (Hd (e p) hp).comp p e.hasFDerivAt
simp_rw [← intervalIntegral.integral_smul, intervalIntegral.integral_symm w.im z.im, ←
intervalIntegral.integral_neg, ← hF']
refine (integral2_divergence_prod_of_hasFDerivWithinAt_off_countable (fun p => -(I • F p)) F
(fun p => -(I • F' p)) F' z.re w.im w.re z.im t (hs.preimage e.injective)
(htc.const_smul _).neg htc (fun p hp => ((htd p hp).const_smul I).neg) htd ?_).symm
rw [← (volume_preserving_equiv_real_prod.symm _).integrableOn_comp_preimage
(MeasurableEquiv.measurableEmbedding _)] at Hi
simpa only [hF'] using Hi.neg
| 28 |
import Mathlib.Analysis.NormedSpace.Real
import Mathlib.Analysis.Seminorm
import Mathlib.Topology.MetricSpace.HausdorffDistance
#align_import analysis.normed_space.riesz_lemma from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Set Metric
open Topology
variable {𝕜 : Type*} [NormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [SeminormedAddCommGroup F] [NormedSpace ℝ F]
| Mathlib/Analysis/NormedSpace/RieszLemma.lean | 41 | 70 | theorem riesz_lemma {F : Subspace 𝕜 E} (hFc : IsClosed (F : Set E)) (hF : ∃ x : E, x ∉ F) {r : ℝ}
(hr : r < 1) : ∃ x₀ : E, x₀ ∉ F ∧ ∀ y ∈ F, r * ‖x₀‖ ≤ ‖x₀ - y‖ := by |
classical
obtain ⟨x, hx⟩ : ∃ x : E, x ∉ F := hF
let d := Metric.infDist x F
have hFn : (F : Set E).Nonempty := ⟨_, F.zero_mem⟩
have hdp : 0 < d :=
lt_of_le_of_ne Metric.infDist_nonneg fun heq =>
hx ((hFc.mem_iff_infDist_zero hFn).2 heq.symm)
let r' := max r 2⁻¹
have hr' : r' < 1 := by
simp only [r', ge_iff_le, max_lt_iff, hr, true_and]
norm_num
have hlt : 0 < r' := lt_of_lt_of_le (by norm_num) (le_max_right r 2⁻¹)
have hdlt : d < d / r' := (lt_div_iff hlt).mpr ((mul_lt_iff_lt_one_right hdp).2 hr')
obtain ⟨y₀, hy₀F, hxy₀⟩ : ∃ y ∈ F, dist x y < d / r' := (Metric.infDist_lt_iff hFn).mp hdlt
have x_ne_y₀ : x - y₀ ∉ F := by
by_contra h
have : x - y₀ + y₀ ∈ F := F.add_mem h hy₀F
simp only [neg_add_cancel_right, sub_eq_add_neg] at this
exact hx this
refine ⟨x - y₀, x_ne_y₀, fun y hy => le_of_lt ?_⟩
have hy₀y : y₀ + y ∈ F := F.add_mem hy₀F hy
calc
r * ‖x - y₀‖ ≤ r' * ‖x - y₀‖ := by gcongr; apply le_max_left
_ < d := by
rw [← dist_eq_norm]
exact (lt_div_iff' hlt).1 hxy₀
_ ≤ dist x (y₀ + y) := Metric.infDist_le_dist_of_mem hy₀y
_ = ‖x - y₀ - y‖ := by rw [sub_sub, dist_eq_norm]
| 28 |
import Mathlib.Analysis.Normed.Order.Basic
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Asymptotics
open Topology
section Real
open Finset
| Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean | 98 | 128 | theorem Asymptotics.IsLittleO.sum_range {α : Type*} [NormedAddCommGroup α] {f : ℕ → α} {g : ℕ → ℝ}
(h : f =o[atTop] g) (hg : 0 ≤ g) (h'g : Tendsto (fun n => ∑ i ∈ range n, g i) atTop atTop) :
(fun n => ∑ i ∈ range n, f i) =o[atTop] fun n => ∑ i ∈ range n, g i := by |
have A : ∀ i, ‖g i‖ = g i := fun i => Real.norm_of_nonneg (hg i)
have B : ∀ n, ‖∑ i ∈ range n, g i‖ = ∑ i ∈ range n, g i := fun n => by
rwa [Real.norm_eq_abs, abs_sum_of_nonneg']
apply isLittleO_iff.2 fun ε εpos => _
intro ε εpos
obtain ⟨N, hN⟩ : ∃ N : ℕ, ∀ b : ℕ, N ≤ b → ‖f b‖ ≤ ε / 2 * g b := by
simpa only [A, eventually_atTop] using isLittleO_iff.mp h (half_pos εpos)
have : (fun _ : ℕ => ∑ i ∈ range N, f i) =o[atTop] fun n : ℕ => ∑ i ∈ range n, g i := by
apply isLittleO_const_left.2
exact Or.inr (h'g.congr fun n => (B n).symm)
filter_upwards [isLittleO_iff.1 this (half_pos εpos), Ici_mem_atTop N] with n hn Nn
calc
‖∑ i ∈ range n, f i‖ = ‖(∑ i ∈ range N, f i) + ∑ i ∈ Ico N n, f i‖ := by
rw [sum_range_add_sum_Ico _ Nn]
_ ≤ ‖∑ i ∈ range N, f i‖ + ‖∑ i ∈ Ico N n, f i‖ := norm_add_le _ _
_ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ Ico N n, ε / 2 * g i :=
(add_le_add le_rfl (norm_sum_le_of_le _ fun i hi => hN _ (mem_Ico.1 hi).1))
_ ≤ ‖∑ i ∈ range N, f i‖ + ∑ i ∈ range n, ε / 2 * g i := by
gcongr
apply sum_le_sum_of_subset_of_nonneg
· rw [range_eq_Ico]
exact Ico_subset_Ico (zero_le _) le_rfl
· intro i _ _
exact mul_nonneg (half_pos εpos).le (hg i)
_ ≤ ε / 2 * ‖∑ i ∈ range n, g i‖ + ε / 2 * ∑ i ∈ range n, g i := by rw [← mul_sum]; gcongr
_ = ε * ‖∑ i ∈ range n, g i‖ := by
simp only [B]
ring
| 28 |
import Mathlib.LinearAlgebra.Dimension.Free
import Mathlib.Algebra.Homology.ShortComplex.ModuleCat
open CategoryTheory
namespace ModuleCat
variable {ι ι' R : Type*} [Ring R] {S : ShortComplex (ModuleCat R)}
(hS : S.Exact) (hS' : S.ShortExact) {v : ι → S.X₁}
open CategoryTheory Submodule Set
section Span
| Mathlib/Algebra/Category/ModuleCat/Free.lean | 94 | 125 | theorem span_exact {β : Type*} {u : ι ⊕ β → S.X₂} (huv : u ∘ Sum.inl = S.f ∘ v)
(hv : ⊤ ≤ span R (range v))
(hw : ⊤ ≤ span R (range (S.g ∘ u ∘ Sum.inr))) :
⊤ ≤ span R (range u) := by |
intro m _
have hgm : S.g m ∈ span R (range (S.g ∘ u ∘ Sum.inr)) := hw mem_top
rw [Finsupp.mem_span_range_iff_exists_finsupp] at hgm
obtain ⟨cm, hm⟩ := hgm
let m' : S.X₂ := Finsupp.sum cm fun j a ↦ a • (u (Sum.inr j))
have hsub : m - m' ∈ LinearMap.range S.f := by
rw [hS.moduleCat_range_eq_ker]
simp only [LinearMap.mem_ker, map_sub, sub_eq_zero]
rw [← hm, map_finsupp_sum]
simp only [Function.comp_apply, map_smul]
obtain ⟨n, hnm⟩ := hsub
have hn : n ∈ span R (range v) := hv mem_top
rw [Finsupp.mem_span_range_iff_exists_finsupp] at hn
obtain ⟨cn, hn⟩ := hn
rw [← hn, map_finsupp_sum] at hnm
rw [← sub_add_cancel m m', ← hnm,]
simp only [map_smul]
have hn' : (Finsupp.sum cn fun a b ↦ b • S.f (v a)) =
(Finsupp.sum cn fun a b ↦ b • u (Sum.inl a)) := by
congr; ext a b; rw [← Function.comp_apply (f := S.f), ← huv, Function.comp_apply]
rw [hn']
apply add_mem
· rw [Finsupp.mem_span_range_iff_exists_finsupp]
use cn.mapDomain (Sum.inl)
rw [Finsupp.sum_mapDomain_index_inj Sum.inl_injective]
· rw [Finsupp.mem_span_range_iff_exists_finsupp]
use cm.mapDomain (Sum.inr)
rw [Finsupp.sum_mapDomain_index_inj Sum.inr_injective]
| 28 |
import Mathlib.FieldTheory.Separable
import Mathlib.RingTheory.IntegralDomain
import Mathlib.Algebra.CharP.Reduced
import Mathlib.Tactic.ApplyFun
#align_import field_theory.finite.basic from "leanprover-community/mathlib"@"12a85fac627bea918960da036049d611b1a3ee43"
variable {K : Type*} {R : Type*}
local notation "q" => Fintype.card K
open Finset
open scoped Polynomial
namespace FiniteField
theorem prod_univ_units_id_eq_neg_one [CommRing K] [IsDomain K] [Fintype Kˣ] :
∏ x : Kˣ, x = (-1 : Kˣ) := by
classical
have : (∏ x ∈ (@univ Kˣ _).erase (-1), x) = 1 :=
prod_involution (fun x _ => x⁻¹) (by simp)
(fun a => by simp (config := { contextual := true }) [Units.inv_eq_self_iff])
(fun a => by simp [@inv_eq_iff_eq_inv _ _ a]) (by simp)
rw [← insert_erase (mem_univ (-1 : Kˣ)), prod_insert (not_mem_erase _ _), this, mul_one]
#align finite_field.prod_univ_units_id_eq_neg_one FiniteField.prod_univ_units_id_eq_neg_one
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
theorem card_cast_subgroup_card_ne_zero [Ring K] [NoZeroDivisors K] [Nontrivial K]
(G : Subgroup Kˣ) [Fintype G] : (Fintype.card G : K) ≠ 0 := by
let n := Fintype.card G
intro nzero
have ⟨p, char_p⟩ := CharP.exists K
have hd : p ∣ n := (CharP.cast_eq_zero_iff K p n).mp nzero
cases CharP.char_is_prime_or_zero K p with
| inr pzero =>
exact (Fintype.card_pos).ne' <| Nat.eq_zero_of_zero_dvd <| pzero ▸ hd
| inl pprime =>
have fact_pprime := Fact.mk pprime
-- G has an element x of order p by Cauchy's theorem
have ⟨x, hx⟩ := exists_prime_orderOf_dvd_card p hd
-- F has an element u (= ↑↑x) of order p
let u := ((x : Kˣ) : K)
have hu : orderOf u = p := by rwa [orderOf_units, Subgroup.orderOf_coe]
-- u ^ p = 1 implies (u - 1) ^ p = 0 and hence u = 1 ...
have h : u = 1 := by
rw [← sub_left_inj, sub_self 1]
apply pow_eq_zero (n := p)
rw [sub_pow_char_of_commute, one_pow, ← hu, pow_orderOf_eq_one, sub_self]
exact Commute.one_right u
-- ... meaning x didn't have order p after all, contradiction
apply pprime.one_lt.ne
rw [← hu, h, orderOf_one]
theorem sum_subgroup_units_eq_zero [Ring K] [NoZeroDivisors K]
{G : Subgroup Kˣ} [Fintype G] (hg : G ≠ ⊥) :
∑ x : G, (x.val : K) = 0 := by
rw [Subgroup.ne_bot_iff_exists_ne_one] at hg
rcases hg with ⟨a, ha⟩
-- The action of a on G as an embedding
let a_mul_emb : G ↪ G := mulLeftEmbedding a
-- ... and leaves G unchanged
have h_unchanged : Finset.univ.map a_mul_emb = Finset.univ := by simp
-- Therefore the sum of x over a G is the sum of a x over G
have h_sum_map := Finset.univ.sum_map a_mul_emb fun x => ((x : Kˣ) : K)
-- ... and the former is the sum of x over G.
-- By algebraic manipulation, we have Σ G, x = ∑ G, a x = a ∑ G, x
simp only [a_mul_emb, h_unchanged, Function.Embedding.coeFn_mk, Function.Embedding.toFun_eq_coe,
mulLeftEmbedding_apply, Submonoid.coe_mul, Subgroup.coe_toSubmonoid, Units.val_mul,
← Finset.mul_sum] at h_sum_map
-- thus one of (a - 1) or ∑ G, x is zero
have hzero : (((a : Kˣ) : K) - 1) = 0 ∨ ∑ x : ↥G, ((x : Kˣ) : K) = 0 := by
rw [← mul_eq_zero, sub_mul, ← h_sum_map, one_mul, sub_self]
apply Or.resolve_left hzero
contrapose! ha
ext
rwa [← sub_eq_zero]
@[simp]
theorem sum_subgroup_units [Ring K] [NoZeroDivisors K]
{G : Subgroup Kˣ} [Fintype G] [Decidable (G = ⊥)] :
∑ x : G, (x.val : K) = if G = ⊥ then 1 else 0 := by
by_cases G_bot : G = ⊥
· subst G_bot
simp only [ite_true, Subgroup.mem_bot, Fintype.card_ofSubsingleton, Nat.cast_ite, Nat.cast_one,
Nat.cast_zero, univ_unique, Set.default_coe_singleton, sum_singleton, Units.val_one]
· simp only [G_bot, ite_false]
exact sum_subgroup_units_eq_zero G_bot
@[simp]
| Mathlib/FieldTheory/Finite/Basic.lean | 179 | 210 | theorem sum_subgroup_pow_eq_zero [CommRing K] [NoZeroDivisors K]
{G : Subgroup Kˣ} [Fintype G] {k : ℕ} (k_pos : k ≠ 0) (k_lt_card_G : k < Fintype.card G) :
∑ x : G, ((x : Kˣ) : K) ^ k = 0 := by |
nontriviality K
have := NoZeroDivisors.to_isDomain K
rcases (exists_pow_ne_one_of_isCyclic k_pos k_lt_card_G) with ⟨a, ha⟩
rw [Finset.sum_eq_multiset_sum]
have h_multiset_map :
Finset.univ.val.map (fun x : G => ((x : Kˣ) : K) ^ k) =
Finset.univ.val.map (fun x : G => ((x : Kˣ) : K) ^ k * ((a : Kˣ) : K) ^ k) := by
simp_rw [← mul_pow]
have as_comp :
(fun x : ↥G => (((x : Kˣ) : K) * ((a : Kˣ) : K)) ^ k)
= (fun x : ↥G => ((x : Kˣ) : K) ^ k) ∘ fun x : ↥G => x * a := by
funext x
simp only [Function.comp_apply, Submonoid.coe_mul, Subgroup.coe_toSubmonoid, Units.val_mul]
rw [as_comp, ← Multiset.map_map]
congr
rw [eq_comm]
exact Multiset.map_univ_val_equiv (Equiv.mulRight a)
have h_multiset_map_sum : (Multiset.map (fun x : G => ((x : Kˣ) : K) ^ k) Finset.univ.val).sum =
(Multiset.map (fun x : G => ((x : Kˣ) : K) ^ k * ((a : Kˣ) : K) ^ k) Finset.univ.val).sum := by
rw [h_multiset_map]
rw [Multiset.sum_map_mul_right] at h_multiset_map_sum
have hzero : (((a : Kˣ) : K) ^ k - 1 : K)
* (Multiset.map (fun i : G => (i.val : K) ^ k) Finset.univ.val).sum = 0 := by
rw [sub_mul, mul_comm, ← h_multiset_map_sum, one_mul, sub_self]
rw [mul_eq_zero] at hzero
refine hzero.resolve_left fun h => ha ?_
ext
rw [← sub_eq_zero]
simp_rw [SubmonoidClass.coe_pow, Units.val_pow_eq_pow_val, OneMemClass.coe_one, Units.val_one, h]
| 29 |
import Mathlib.Order.Interval.Set.OrdConnectedComponent
import Mathlib.Topology.Order.Basic
#align_import topology.algebra.order.t5 from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
open Filter Set Function OrderDual Topology Interval
variable {X : Type*} [LinearOrder X] [TopologicalSpace X] [OrderTopology X] {a b c : X}
{s t : Set X}
namespace Set
@[simp]
theorem ordConnectedComponent_mem_nhds : ordConnectedComponent s a ∈ 𝓝 a ↔ s ∈ 𝓝 a := by
refine ⟨fun h => mem_of_superset h ordConnectedComponent_subset, fun h => ?_⟩
rcases exists_Icc_mem_subset_of_mem_nhds h with ⟨b, c, ha, ha', hs⟩
exact mem_of_superset ha' (subset_ordConnectedComponent ha hs)
#align set.ord_connected_component_mem_nhds Set.ordConnectedComponent_mem_nhds
| Mathlib/Topology/Order/T5.lean | 33 | 63 | theorem compl_section_ordSeparatingSet_mem_nhdsWithin_Ici (hd : Disjoint s (closure t))
(ha : a ∈ s) : (ordConnectedSection (ordSeparatingSet s t))ᶜ ∈ 𝓝[≥] a := by |
have hmem : tᶜ ∈ 𝓝[≥] a := by
refine mem_nhdsWithin_of_mem_nhds ?_
rw [← mem_interior_iff_mem_nhds, interior_compl]
exact disjoint_left.1 hd ha
rcases exists_Icc_mem_subset_of_mem_nhdsWithin_Ici hmem with ⟨b, hab, hmem', hsub⟩
by_cases H : Disjoint (Icc a b) (ordConnectedSection <| ordSeparatingSet s t)
· exact mem_of_superset hmem' (disjoint_left.1 H)
· simp only [Set.disjoint_left, not_forall, Classical.not_not] at H
rcases H with ⟨c, ⟨hac, hcb⟩, hc⟩
have hsub' : Icc a b ⊆ ordConnectedComponent tᶜ a :=
subset_ordConnectedComponent (left_mem_Icc.2 hab) hsub
have hd : Disjoint s (ordConnectedSection (ordSeparatingSet s t)) :=
disjoint_left_ordSeparatingSet.mono_right ordConnectedSection_subset
replace hac : a < c := hac.lt_of_ne <| Ne.symm <| ne_of_mem_of_not_mem hc <|
disjoint_left.1 hd ha
refine mem_of_superset (Ico_mem_nhdsWithin_Ici (left_mem_Ico.2 hac)) fun x hx hx' => ?_
refine hx.2.ne (eq_of_mem_ordConnectedSection_of_uIcc_subset hx' hc ?_)
refine subset_inter (subset_iUnion₂_of_subset a ha ?_) ?_
· exact OrdConnected.uIcc_subset inferInstance (hsub' ⟨hx.1, hx.2.le.trans hcb⟩)
(hsub' ⟨hac.le, hcb⟩)
· rcases mem_iUnion₂.1 (ordConnectedSection_subset hx').2 with ⟨y, hyt, hxy⟩
refine subset_iUnion₂_of_subset y hyt (OrdConnected.uIcc_subset inferInstance hxy ?_)
refine subset_ordConnectedComponent left_mem_uIcc hxy ?_
suffices c < y by
rw [uIcc_of_ge (hx.2.trans this).le]
exact ⟨hx.2.le, this.le⟩
refine lt_of_not_le fun hyc => ?_
have hya : y < a := not_le.1 fun hay => hsub ⟨hay, hyc.trans hcb⟩ hyt
exact hxy (Icc_subset_uIcc ⟨hya.le, hx.1⟩) ha
| 29 |
import Mathlib.Algebra.Group.Subgroup.Basic
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.Data.Finite.Card
#align_import group_theory.subgroup.finite from "leanprover-community/mathlib"@"f93c11933efbc3c2f0299e47b8ff83e9b539cbf6"
variable {G : Type*} [Group G]
variable {A : Type*} [AddGroup A]
namespace Subgroup
section Pi
open Set
variable {η : Type*} {f : η → Type*} [∀ i, Group (f i)]
@[to_additive]
| Mathlib/Algebra/Group/Subgroup/Finite.lean | 195 | 226 | theorem pi_mem_of_mulSingle_mem_aux [DecidableEq η] (I : Finset η) {H : Subgroup (∀ i, f i)}
(x : ∀ i, f i) (h1 : ∀ i, i ∉ I → x i = 1) (h2 : ∀ i, i ∈ I → Pi.mulSingle i (x i) ∈ H) :
x ∈ H := by |
induction' I using Finset.induction_on with i I hnmem ih generalizing x
· convert one_mem H
ext i
exact h1 i (Finset.not_mem_empty i)
· have : x = Function.update x i 1 * Pi.mulSingle i (x i) := by
ext j
by_cases heq : j = i
· subst heq
simp
· simp [heq]
rw [this]
clear this
apply mul_mem
· apply ih <;> clear ih
· intro j hj
by_cases heq : j = i
· subst heq
simp
· simp [heq]
apply h1 j
simpa [heq] using hj
· intro j hj
have : j ≠ i := by
rintro rfl
contradiction
simp only [ne_eq, this, not_false_eq_true, Function.update_noteq]
exact h2 _ (Finset.mem_insert_of_mem hj)
· apply h2
simp
| 29 |
import Mathlib.Data.Finset.Fin
import Mathlib.Data.Int.Order.Units
import Mathlib.GroupTheory.OrderOfElement
import Mathlib.GroupTheory.Perm.Support
import Mathlib.Logic.Equiv.Fintype
#align_import group_theory.perm.sign from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
universe u v
open Equiv Function Fintype Finset
variable {α : Type u} {β : Type v}
-- An example on how to determine the order of an element of a finite group.
example : orderOf (-1 : ℤˣ) = 2 :=
orderOf_eq_prime (Int.units_sq _) (by decide)
namespace Equiv.Perm
theorem perm_inv_on_of_perm_on_finset {s : Finset α} {f : Perm α} (h : ∀ x ∈ s, f x ∈ s) {y : α}
(hy : y ∈ s) : f⁻¹ y ∈ s := by
have h0 : ∀ y ∈ s, ∃ (x : _) (hx : x ∈ s), y = (fun i (_ : i ∈ s) => f i) x hx :=
Finset.surj_on_of_inj_on_of_card_le (fun x hx => (fun i _ => f i) x hx) (fun a ha => h a ha)
(fun a₁ a₂ ha₁ ha₂ heq => (Equiv.apply_eq_iff_eq f).mp heq) rfl.ge
obtain ⟨y2, hy2, heq⟩ := h0 y hy
convert hy2
rw [heq]
simp only [inv_apply_self]
#align equiv.perm.perm_inv_on_of_perm_on_finset Equiv.Perm.perm_inv_on_of_perm_on_finset
theorem perm_inv_mapsTo_of_mapsTo (f : Perm α) {s : Set α} [Finite s] (h : Set.MapsTo f s s) :
Set.MapsTo (f⁻¹ : _) s s := by
cases nonempty_fintype s
exact fun x hx =>
Set.mem_toFinset.mp <|
perm_inv_on_of_perm_on_finset
(fun a ha => Set.mem_toFinset.mpr (h (Set.mem_toFinset.mp ha)))
(Set.mem_toFinset.mpr hx)
#align equiv.perm.perm_inv_maps_to_of_maps_to Equiv.Perm.perm_inv_mapsTo_of_mapsTo
@[simp]
theorem perm_inv_mapsTo_iff_mapsTo {f : Perm α} {s : Set α} [Finite s] :
Set.MapsTo (f⁻¹ : _) s s ↔ Set.MapsTo f s s :=
⟨perm_inv_mapsTo_of_mapsTo f⁻¹, perm_inv_mapsTo_of_mapsTo f⟩
#align equiv.perm.perm_inv_maps_to_iff_maps_to Equiv.Perm.perm_inv_mapsTo_iff_mapsTo
theorem perm_inv_on_of_perm_on_finite {f : Perm α} {p : α → Prop} [Finite { x // p x }]
(h : ∀ x, p x → p (f x)) {x : α} (hx : p x) : p (f⁻¹ x) :=
-- Porting note: relies heavily on the definitions of `Subtype` and `setOf` unfolding to their
-- underlying predicate.
have : Finite { x | p x } := ‹_›
perm_inv_mapsTo_of_mapsTo (s := {x | p x}) f h hx
#align equiv.perm.perm_inv_on_of_perm_on_finite Equiv.Perm.perm_inv_on_of_perm_on_finite
abbrev subtypePermOfFintype (f : Perm α) {p : α → Prop} [Finite { x // p x }]
(h : ∀ x, p x → p (f x)) : Perm { x // p x } :=
f.subtypePerm fun x => ⟨h x, fun h₂ => f.inv_apply_self x ▸ perm_inv_on_of_perm_on_finite h h₂⟩
#align equiv.perm.subtype_perm_of_fintype Equiv.Perm.subtypePermOfFintype
@[simp]
theorem subtypePermOfFintype_apply (f : Perm α) {p : α → Prop} [Finite { x // p x }]
(h : ∀ x, p x → p (f x)) (x : { x // p x }) : subtypePermOfFintype f h x = ⟨f x, h x x.2⟩ :=
rfl
#align equiv.perm.subtype_perm_of_fintype_apply Equiv.Perm.subtypePermOfFintype_apply
theorem subtypePermOfFintype_one (p : α → Prop) [Finite { x // p x }]
(h : ∀ x, p x → p ((1 : Perm α) x)) : @subtypePermOfFintype α 1 p _ h = 1 :=
rfl
#align equiv.perm.subtype_perm_of_fintype_one Equiv.Perm.subtypePermOfFintype_one
theorem perm_mapsTo_inl_iff_mapsTo_inr {m n : Type*} [Finite m] [Finite n] (σ : Perm (Sum m n)) :
Set.MapsTo σ (Set.range Sum.inl) (Set.range Sum.inl) ↔
Set.MapsTo σ (Set.range Sum.inr) (Set.range Sum.inr) := by
constructor <;>
( intro h
classical
rw [← perm_inv_mapsTo_iff_mapsTo] at h
intro x
cases' hx : σ x with l r)
· rintro ⟨a, rfl⟩
obtain ⟨y, hy⟩ := h ⟨l, rfl⟩
rw [← hx, σ.inv_apply_self] at hy
exact absurd hy Sum.inl_ne_inr
· rintro _; exact ⟨r, rfl⟩
· rintro _; exact ⟨l, rfl⟩
· rintro ⟨a, rfl⟩
obtain ⟨y, hy⟩ := h ⟨r, rfl⟩
rw [← hx, σ.inv_apply_self] at hy
exact absurd hy Sum.inr_ne_inl
#align equiv.perm.perm_maps_to_inl_iff_maps_to_inr Equiv.Perm.perm_mapsTo_inl_iff_mapsTo_inr
| Mathlib/GroupTheory/Perm/Finite.lean | 132 | 163 | theorem mem_sumCongrHom_range_of_perm_mapsTo_inl {m n : Type*} [Finite m] [Finite n]
{σ : Perm (Sum m n)} (h : Set.MapsTo σ (Set.range Sum.inl) (Set.range Sum.inl)) :
σ ∈ (sumCongrHom m n).range := by |
classical
have h1 : ∀ x : Sum m n, (∃ a : m, Sum.inl a = x) → ∃ a : m, Sum.inl a = σ x := by
rintro x ⟨a, ha⟩
apply h
rw [← ha]
exact ⟨a, rfl⟩
have h3 : ∀ x : Sum m n, (∃ b : n, Sum.inr b = x) → ∃ b : n, Sum.inr b = σ x := by
rintro x ⟨b, hb⟩
apply (perm_mapsTo_inl_iff_mapsTo_inr σ).mp h
rw [← hb]
exact ⟨b, rfl⟩
let σ₁' := subtypePermOfFintype σ h1
let σ₂' := subtypePermOfFintype σ h3
let σ₁ := permCongr (Equiv.ofInjective _ Sum.inl_injective).symm σ₁'
let σ₂ := permCongr (Equiv.ofInjective _ Sum.inr_injective).symm σ₂'
rw [MonoidHom.mem_range, Prod.exists]
use σ₁, σ₂
rw [Perm.sumCongrHom_apply]
ext x
cases' x with a b
· rw [Equiv.sumCongr_apply, Sum.map_inl, permCongr_apply, Equiv.symm_symm,
apply_ofInjective_symm Sum.inl_injective]
rw [ofInjective_apply, Subtype.coe_mk, Subtype.coe_mk]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [subtypePerm_apply]
· rw [Equiv.sumCongr_apply, Sum.map_inr, permCongr_apply, Equiv.symm_symm,
apply_ofInjective_symm Sum.inr_injective]
erw [subtypePerm_apply]
rw [ofInjective_apply, Subtype.coe_mk, Subtype.coe_mk]
| 29 |
import Batteries.Data.UnionFind.Basic
namespace Batteries.UnionFind
@[simp] theorem arr_empty : empty.arr = #[] := rfl
@[simp] theorem parent_empty : empty.parent a = a := rfl
@[simp] theorem rank_empty : empty.rank a = 0 := rfl
@[simp] theorem rootD_empty : empty.rootD a = a := rfl
@[simp] theorem arr_push {m : UnionFind} : m.push.arr = m.arr.push ⟨m.arr.size, 0⟩ := rfl
@[simp] theorem parentD_push {arr : Array UFNode} :
parentD (arr.push ⟨arr.size, 0⟩) a = parentD arr a := by
simp [parentD]; split <;> split <;> try simp [Array.get_push, *]
· next h1 h2 =>
simp [Nat.lt_succ] at h1 h2
exact Nat.le_antisymm h2 h1
· next h1 h2 => cases h1 (Nat.lt_succ_of_lt h2)
@[simp] theorem parent_push {m : UnionFind} : m.push.parent a = m.parent a := by simp [parent]
@[simp] theorem rankD_push {arr : Array UFNode} :
rankD (arr.push ⟨arr.size, 0⟩) a = rankD arr a := by
simp [rankD]; split <;> split <;> try simp [Array.get_push, *]
next h1 h2 => cases h1 (Nat.lt_succ_of_lt h2)
@[simp] theorem rank_push {m : UnionFind} : m.push.rank a = m.rank a := by simp [rank]
@[simp] theorem rankMax_push {m : UnionFind} : m.push.rankMax = m.rankMax := by simp [rankMax]
@[simp] theorem root_push {self : UnionFind} : self.push.rootD x = self.rootD x :=
rootD_ext fun _ => parent_push
@[simp] theorem arr_link : (link self x y yroot).arr = linkAux self.arr x y := rfl
theorem parentD_linkAux {self} {x y : Fin self.size} :
parentD (linkAux self x y) i =
if x.1 = y then
parentD self i
else
if (self.get y).rank < (self.get x).rank then
if y = i then x else parentD self i
else
if x = i then y else parentD self i := by
dsimp only [linkAux]; split <;> [rfl; split] <;> [rw [parentD_set]; split] <;> rw [parentD_set]
split <;> [(subst i; rwa [if_neg, parentD_eq]); rw [parentD_set]]
theorem parent_link {self} {x y : Fin self.size} (yroot) {i} :
(link self x y yroot).parent i =
if x.1 = y then
self.parent i
else
if self.rank y < self.rank x then
if y = i then x else self.parent i
else
if x = i then y else self.parent i := by
simp [rankD_eq]; exact parentD_linkAux
| .lake/packages/batteries/Batteries/Data/UnionFind/Lemmas.lean | 64 | 97 | theorem root_link {self : UnionFind} {x y : Fin self.size}
(xroot : self.parent x = x) (yroot : self.parent y = y) :
∃ r, (r = x ∨ r = y) ∧ ∀ i,
(link self x y yroot).rootD i =
if self.rootD i = x ∨ self.rootD i = y then r.1 else self.rootD i := by |
if h : x.1 = y then
refine ⟨x, .inl rfl, fun i => ?_⟩
rw [rootD_ext (m2 := self) (fun _ => by rw [parent_link, if_pos h])]
split <;> [obtain _ | _ := ‹_› <;> simp [*]; rfl]
else
have {x y : Fin self.size}
(xroot : self.parent x = x) (yroot : self.parent y = y) {m : UnionFind}
(hm : ∀ i, m.parent i = if y = i then x.1 else self.parent i) :
∃ r, (r = x ∨ r = y) ∧ ∀ i,
m.rootD i = if self.rootD i = x ∨ self.rootD i = y then r.1 else self.rootD i := by
let rec go (i) :
m.rootD i = if self.rootD i = x ∨ self.rootD i = y then x.1 else self.rootD i := by
if h : m.parent i = i then
rw [rootD_eq_self.2 h]; rw [hm i] at h; split at h
· rw [if_pos, h]; simp [← h, rootD_eq_self, xroot]
· rw [rootD_eq_self.2 ‹_›]; split <;> [skip; rfl]
next h' => exact h'.resolve_right (Ne.symm ‹_›)
else
have _ := Nat.sub_lt_sub_left (m.lt_rankMax i) (m.rank_lt h)
rw [← rootD_parent, go (m.parent i)]
rw [hm i]; split <;> [subst i; rw [rootD_parent]]
simp [rootD_eq_self.2 xroot, rootD_eq_self.2 yroot]
termination_by m.rankMax - m.rank i
exact ⟨x, .inl rfl, go⟩
if hr : self.rank y < self.rank x then
exact this xroot yroot fun i => by simp [parent_link, h, hr]
else
simpa (config := {singlePass := true}) [or_comm] using
this yroot xroot fun i => by simp [parent_link, h, hr]
| 29 |
import Mathlib.RingTheory.Ideal.IsPrimary
import Mathlib.RingTheory.Localization.AtPrime
import Mathlib.Order.Minimal
#align_import ring_theory.ideal.minimal_prime from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
section
variable {R S : Type*} [CommSemiring R] [CommSemiring S] (I J : Ideal R)
protected def Ideal.minimalPrimes : Set (Ideal R) :=
minimals (· ≤ ·) { p | p.IsPrime ∧ I ≤ p }
#align ideal.minimal_primes Ideal.minimalPrimes
variable (R) in
def minimalPrimes : Set (Ideal R) :=
Ideal.minimalPrimes ⊥
#align minimal_primes minimalPrimes
lemma minimalPrimes_eq_minimals : minimalPrimes R = minimals (· ≤ ·) (setOf Ideal.IsPrime) :=
congr_arg (minimals (· ≤ ·)) (by simp)
variable {I J}
theorem Ideal.exists_minimalPrimes_le [J.IsPrime] (e : I ≤ J) : ∃ p ∈ I.minimalPrimes, p ≤ J := by
suffices
∃ m ∈ { p : (Ideal R)ᵒᵈ | Ideal.IsPrime p ∧ I ≤ OrderDual.ofDual p },
OrderDual.toDual J ≤ m ∧ ∀ z ∈ { p : (Ideal R)ᵒᵈ | Ideal.IsPrime p ∧ I ≤ p }, m ≤ z → z = m by
obtain ⟨p, h₁, h₂, h₃⟩ := this
simp_rw [← @eq_comm _ p] at h₃
exact ⟨p, ⟨h₁, fun a b c => le_of_eq (h₃ a b c)⟩, h₂⟩
apply zorn_nonempty_partialOrder₀
swap
· refine ⟨show J.IsPrime by infer_instance, e⟩
rintro (c : Set (Ideal R)) hc hc' J' hJ'
refine
⟨OrderDual.toDual (sInf c),
⟨Ideal.sInf_isPrime_of_isChain ⟨J', hJ'⟩ hc'.symm fun x hx => (hc hx).1, ?_⟩, ?_⟩
· rw [OrderDual.ofDual_toDual, le_sInf_iff]
exact fun _ hx => (hc hx).2
· rintro z hz
rw [OrderDual.le_toDual]
exact sInf_le hz
#align ideal.exists_minimal_primes_le Ideal.exists_minimalPrimes_le
@[simp]
theorem Ideal.radical_minimalPrimes : I.radical.minimalPrimes = I.minimalPrimes := by
rw [Ideal.minimalPrimes, Ideal.minimalPrimes]
ext p
refine ⟨?_, ?_⟩ <;> rintro ⟨⟨a, ha⟩, b⟩
· refine ⟨⟨a, a.radical_le_iff.1 ha⟩, ?_⟩
simp only [Set.mem_setOf_eq, and_imp] at *
exact fun _ h2 h3 h4 => b h2 (h2.radical_le_iff.2 h3) h4
· refine ⟨⟨a, a.radical_le_iff.2 ha⟩, ?_⟩
simp only [Set.mem_setOf_eq, and_imp] at *
exact fun _ h2 h3 h4 => b h2 (h2.radical_le_iff.1 h3) h4
#align ideal.radical_minimal_primes Ideal.radical_minimalPrimes
@[simp]
theorem Ideal.sInf_minimalPrimes : sInf I.minimalPrimes = I.radical := by
rw [I.radical_eq_sInf]
apply le_antisymm
· intro x hx
rw [Ideal.mem_sInf] at hx ⊢
rintro J ⟨e, hJ⟩
obtain ⟨p, hp, hp'⟩ := Ideal.exists_minimalPrimes_le e
exact hp' (hx hp)
· apply sInf_le_sInf _
intro I hI
exact hI.1.symm
#align ideal.Inf_minimal_primes Ideal.sInf_minimalPrimes
theorem Ideal.exists_comap_eq_of_mem_minimalPrimes_of_injective {f : R →+* S}
(hf : Function.Injective f) (p) (H : p ∈ minimalPrimes R) :
∃ p' : Ideal S, p'.IsPrime ∧ p'.comap f = p := by
have := H.1.1
have : Nontrivial (Localization (Submonoid.map f p.primeCompl)) := by
refine ⟨⟨1, 0, ?_⟩⟩
convert (IsLocalization.map_injective_of_injective p.primeCompl (Localization.AtPrime p)
(Localization <| p.primeCompl.map f) hf).ne one_ne_zero
· rw [map_one]
· rw [map_zero]
obtain ⟨M, hM⟩ := Ideal.exists_maximal (Localization (Submonoid.map f p.primeCompl))
refine ⟨M.comap (algebraMap S <| Localization (Submonoid.map f p.primeCompl)), inferInstance, ?_⟩
rw [Ideal.comap_comap, ← @IsLocalization.map_comp _ _ _ _ _ _ _ _ Localization.isLocalization
_ _ _ _ p.primeCompl.le_comap_map _ Localization.isLocalization,
← Ideal.comap_comap]
suffices _ ≤ p by exact this.antisymm (H.2 ⟨inferInstance, bot_le⟩ this)
intro x hx
by_contra h
apply hM.ne_top
apply M.eq_top_of_isUnit_mem hx
apply IsUnit.map
apply IsLocalization.map_units _ (show p.primeCompl from ⟨x, h⟩)
#align ideal.exists_comap_eq_of_mem_minimal_primes_of_injective Ideal.exists_comap_eq_of_mem_minimalPrimes_of_injective
end
section
variable {R S : Type*} [CommRing R] [CommRing S] {I J : Ideal R}
| Mathlib/RingTheory/Ideal/MinimalPrime.lean | 134 | 164 | theorem Ideal.exists_comap_eq_of_mem_minimalPrimes {I : Ideal S} (f : R →+* S) (p)
(H : p ∈ (I.comap f).minimalPrimes) : ∃ p' : Ideal S, p'.IsPrime ∧ I ≤ p' ∧ p'.comap f = p := by |
have := H.1.1
let f' := (Ideal.Quotient.mk I).comp f
have e : RingHom.ker f' = I.comap f := by
ext1
exact Submodule.Quotient.mk_eq_zero _
have : RingHom.ker (Ideal.Quotient.mk <| RingHom.ker f') ≤ p := by
rw [Ideal.mk_ker, e]
exact H.1.2
suffices _ by
have ⟨p', hp₁, hp₂⟩ := Ideal.exists_comap_eq_of_mem_minimalPrimes_of_injective
(RingHom.kerLift_injective f') (p.map <| Ideal.Quotient.mk <| RingHom.ker f') this
refine ⟨p'.comap <| Ideal.Quotient.mk I, Ideal.IsPrime.comap _, ?_, ?_⟩
· exact Ideal.mk_ker.symm.trans_le (Ideal.comap_mono bot_le)
· convert congr_arg (Ideal.comap <| Ideal.Quotient.mk <| RingHom.ker f') hp₂
rwa [Ideal.comap_map_of_surjective (Ideal.Quotient.mk <| RingHom.ker f')
Ideal.Quotient.mk_surjective, eq_comm, sup_eq_left]
refine ⟨⟨?_, bot_le⟩, ?_⟩
· apply Ideal.map_isPrime_of_surjective _ this
exact Ideal.Quotient.mk_surjective
· rintro q ⟨hq, -⟩ hq'
rw [← Ideal.map_comap_of_surjective
(Ideal.Quotient.mk (RingHom.ker ((Ideal.Quotient.mk I).comp f)))
Ideal.Quotient.mk_surjective q]
apply Ideal.map_mono
apply H.2
· refine ⟨inferInstance, (Ideal.mk_ker.trans e).symm.trans_le (Ideal.comap_mono bot_le)⟩
· refine (Ideal.comap_mono hq').trans ?_
rw [Ideal.comap_map_of_surjective]
exacts [sup_le rfl.le this, Ideal.Quotient.mk_surjective]
| 29 |
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
import Mathlib.Data.List.Infix
import Mathlib.Data.List.MinMax
import Mathlib.Data.List.EditDistance.Defs
set_option autoImplicit true
variable {C : Levenshtein.Cost α β δ} [CanonicallyLinearOrderedAddCommMonoid δ]
| Mathlib/Data/List/EditDistance/Bounds.lean | 26 | 56 | theorem suffixLevenshtein_minimum_le_levenshtein_cons (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ levenshtein C xs (y :: ys) := by |
induction xs with
| nil =>
simp only [suffixLevenshtein_nil', levenshtein_nil_cons,
List.minimum_singleton, WithTop.coe_le_coe]
exact le_add_of_nonneg_left (by simp)
| cons x xs ih =>
suffices
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.delete x + levenshtein C xs (y :: ys)) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.insert y + levenshtein C (x :: xs) ys) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.substitute x y + levenshtein C xs ys) by
simpa [suffixLevenshtein_eq_tails_map]
refine ⟨?_, ?_, ?_⟩
· calc
_ ≤ (suffixLevenshtein C xs ys).1.minimum := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ ↑(levenshtein C xs (y :: ys)) := ih
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C (x :: xs) ys) := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C xs ys) := by
simp only [suffixLevenshtein_cons₁_fst, List.minimum_cons]
apply min_le_of_right_le
cases xs
· simp [suffixLevenshtein_nil']
· simp [suffixLevenshtein_cons₁, List.minimum_cons]
_ ≤ _ := by simp
| 29 |
import Mathlib.FieldTheory.Finite.Basic
#align_import number_theory.wilson from "leanprover-community/mathlib"@"c471da714c044131b90c133701e51b877c246677"
open Finset Nat FiniteField ZMod
open scoped Nat
namespace ZMod
variable (p : ℕ) [Fact p.Prime]
@[simp]
| Mathlib/NumberTheory/Wilson.lean | 40 | 69 | theorem wilsons_lemma : ((p - 1)! : ZMod p) = -1 := by |
refine
calc
((p - 1)! : ZMod p) = ∏ x ∈ Ico 1 (succ (p - 1)), (x : ZMod p) := by
rw [← Finset.prod_Ico_id_eq_factorial, prod_natCast]
_ = ∏ x : (ZMod p)ˣ, (x : ZMod p) := ?_
_ = -1 := by
-- Porting note: `simp` is less powerful.
-- simp_rw [← Units.coeHom_apply, ← (Units.coeHom (ZMod p)).map_prod,
-- prod_univ_units_id_eq_neg_one, Units.coeHom_apply, Units.val_neg, Units.val_one]
simp_rw [← Units.coeHom_apply]
rw [← map_prod (Units.coeHom (ZMod p))]
simp_rw [prod_univ_units_id_eq_neg_one, Units.coeHom_apply, Units.val_neg, Units.val_one]
have hp : 0 < p := (Fact.out (p := p.Prime)).pos
symm
refine prod_bij (fun a _ => (a : ZMod p).val) ?_ ?_ ?_ ?_
· intro a ha
rw [mem_Ico, ← Nat.succ_sub hp, Nat.add_one_sub_one]
constructor
· apply Nat.pos_of_ne_zero; rw [← @val_zero p]
intro h; apply Units.ne_zero a (val_injective p h)
· exact val_lt _
· intro _ _ _ _ h; rw [Units.ext_iff]; exact val_injective p h
· intro b hb
rw [mem_Ico, Nat.succ_le_iff, ← succ_sub hp, Nat.add_one_sub_one, pos_iff_ne_zero] at hb
refine ⟨Units.mk0 b ?_, Finset.mem_univ _, ?_⟩
· intro h; apply hb.1; apply_fun val at h
simpa only [val_cast_of_lt hb.right, val_zero] using h
· simp only [val_cast_of_lt hb.right, Units.val_mk0]
· rintro a -; simp only [cast_id, natCast_val]
| 29 |
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.BigOperators.NatAntidiagonal
import Mathlib.Algebra.BigOperators.Ring
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.Ring
#align_import data.nat.choose.sum from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
open Nat
open Finset
variable {R : Type*}
namespace Commute
variable [Semiring R] {x y : R}
| Mathlib/Data/Nat/Choose/Sum.lean | 37 | 67 | theorem add_pow (h : Commute x y) (n : ℕ) :
(x + y) ^ n = ∑ m ∈ range (n + 1), x ^ m * y ^ (n - m) * choose n m := by |
let t : ℕ → ℕ → R := fun n m ↦ x ^ m * y ^ (n - m) * choose n m
change (x + y) ^ n = ∑ m ∈ range (n + 1), t n m
have h_first : ∀ n, t n 0 = y ^ n := fun n ↦ by
simp only [t, choose_zero_right, _root_.pow_zero, Nat.cast_one, mul_one, one_mul, tsub_zero]
have h_last : ∀ n, t n n.succ = 0 := fun n ↦ by
simp only [t, ge_iff_le, choose_succ_self, cast_zero, mul_zero]
have h_middle :
∀ n i : ℕ, i ∈ range n.succ → (t n.succ ∘ Nat.succ) i =
x * t n i + y * t n i.succ := by
intro n i h_mem
have h_le : i ≤ n := Nat.le_of_lt_succ (mem_range.mp h_mem)
dsimp only [t]
rw [Function.comp_apply, choose_succ_succ, Nat.cast_add, mul_add]
congr 1
· rw [pow_succ' x, succ_sub_succ, mul_assoc, mul_assoc, mul_assoc]
· rw [← mul_assoc y, ← mul_assoc y, (h.symm.pow_right i.succ).eq]
by_cases h_eq : i = n
· rw [h_eq, choose_succ_self, Nat.cast_zero, mul_zero, mul_zero]
· rw [succ_sub (lt_of_le_of_ne h_le h_eq)]
rw [pow_succ' y, mul_assoc, mul_assoc, mul_assoc, mul_assoc]
induction' n with n ih
· rw [_root_.pow_zero, sum_range_succ, range_zero, sum_empty, zero_add]
dsimp only [t]
rw [_root_.pow_zero, _root_.pow_zero, choose_self, Nat.cast_one, mul_one, mul_one]
· rw [sum_range_succ', h_first]
erw [sum_congr rfl (h_middle n), sum_add_distrib, add_assoc]
rw [pow_succ' (x + y), ih, add_mul, mul_sum, mul_sum]
congr 1
rw [sum_range_succ', sum_range_succ, h_first, h_last, mul_zero, add_zero, _root_.pow_succ']
| 29 |
import Mathlib.Computability.Encoding
import Mathlib.Logic.Small.List
import Mathlib.ModelTheory.Syntax
import Mathlib.SetTheory.Cardinal.Ordinal
#align_import model_theory.encoding from "leanprover-community/mathlib"@"91288e351d51b3f0748f0a38faa7613fb0ae2ada"
universe u v w u' v'
namespace FirstOrder
namespace Language
variable {L : Language.{u, v}}
variable {M : Type w} {N P : Type*} [L.Structure M] [L.Structure N] [L.Structure P]
variable {α : Type u'} {β : Type v'}
open FirstOrder Cardinal
open Computability List Structure Cardinal Fin
namespace Term
def listEncode : L.Term α → List (Sum α (Σi, L.Functions i))
| var i => [Sum.inl i]
| func f ts =>
Sum.inr (⟨_, f⟩ : Σi, L.Functions i)::(List.finRange _).bind fun i => (ts i).listEncode
#align first_order.language.term.list_encode FirstOrder.Language.Term.listEncode
def listDecode : List (Sum α (Σi, L.Functions i)) → List (Option (L.Term α))
| [] => []
| Sum.inl a::l => some (var a)::listDecode l
| Sum.inr ⟨n, f⟩::l =>
if h : ∀ i : Fin n, ((listDecode l).get? i).join.isSome then
(func f fun i => Option.get _ (h i))::(listDecode l).drop n
else [none]
#align first_order.language.term.list_decode FirstOrder.Language.Term.listDecode
theorem listDecode_encode_list (l : List (L.Term α)) :
listDecode (l.bind listEncode) = l.map Option.some := by
suffices h : ∀ (t : L.Term α) (l : List (Sum α (Σi, L.Functions i))),
listDecode (t.listEncode ++ l) = some t::listDecode l by
induction' l with t l lih
· rfl
· rw [cons_bind, h t (l.bind listEncode), lih, List.map]
intro t
induction' t with a n f ts ih <;> intro l
· rw [listEncode, singleton_append, listDecode]
· rw [listEncode, cons_append, listDecode]
have h : listDecode (((finRange n).bind fun i : Fin n => (ts i).listEncode) ++ l) =
(finRange n).map (Option.some ∘ ts) ++ listDecode l := by
induction' finRange n with i l' l'ih
· rfl
· rw [cons_bind, List.append_assoc, ih, map_cons, l'ih, cons_append, Function.comp]
have h' : ∀ i : Fin n,
(listDecode (((finRange n).bind fun i : Fin n => (ts i).listEncode) ++ l)).get? ↑i =
some (some (ts i)) := by
intro i
rw [h, get?_append, get?_map]
· simp only [Option.map_eq_some', Function.comp_apply, get?_eq_some]
refine ⟨i, ⟨lt_of_lt_of_le i.2 (ge_of_eq (length_finRange _)), ?_⟩, rfl⟩
rw [get_finRange, Fin.eta]
· refine lt_of_lt_of_le i.2 ?_
simp
refine (dif_pos fun i => Option.isSome_iff_exists.2 ⟨ts i, ?_⟩).trans ?_
· rw [Option.join_eq_some, h']
refine congr (congr rfl (congr rfl (congr rfl (funext fun i => Option.get_of_mem _ ?_)))) ?_
· simp [h']
· rw [h, drop_left']
rw [length_map, length_finRange]
#align first_order.language.term.list_decode_encode_list FirstOrder.Language.Term.listDecode_encode_list
@[simps]
protected def encoding : Encoding (L.Term α) where
Γ := Sum α (Σi, L.Functions i)
encode := listEncode
decode l := (listDecode l).head?.join
decode_encode t := by
have h := listDecode_encode_list [t]
rw [bind_singleton] at h
simp only [h, Option.join, head?, List.map, Option.some_bind, id]
#align first_order.language.term.encoding FirstOrder.Language.Term.encoding
theorem listEncode_injective :
Function.Injective (listEncode : L.Term α → List (Sum α (Σi, L.Functions i))) :=
Term.encoding.encode_injective
#align first_order.language.term.list_encode_injective FirstOrder.Language.Term.listEncode_injective
theorem card_le : #(L.Term α) ≤ max ℵ₀ #(Sum α (Σi, L.Functions i)) :=
lift_le.1 (_root_.trans Term.encoding.card_le_card_list (lift_le.2 (mk_list_le_max _)))
#align first_order.language.term.card_le FirstOrder.Language.Term.card_le
| Mathlib/ModelTheory/Encoding.lean | 122 | 151 | theorem card_sigma : #(Σn, L.Term (Sum α (Fin n))) = max ℵ₀ #(Sum α (Σi, L.Functions i)) := by |
refine le_antisymm ?_ ?_
· rw [mk_sigma]
refine (sum_le_iSup_lift _).trans ?_
rw [mk_nat, lift_aleph0, mul_eq_max_of_aleph0_le_left le_rfl, max_le_iff,
ciSup_le_iff' (bddAbove_range _)]
· refine ⟨le_max_left _ _, fun i => card_le.trans ?_⟩
refine max_le (le_max_left _ _) ?_
rw [← add_eq_max le_rfl, mk_sum, mk_sum, mk_sum, add_comm (Cardinal.lift #α), lift_add,
add_assoc, lift_lift, lift_lift, mk_fin, lift_natCast]
exact add_le_add_right (nat_lt_aleph0 _).le _
· rw [← one_le_iff_ne_zero]
refine _root_.trans ?_ (le_ciSup (bddAbove_range _) 1)
rw [one_le_iff_ne_zero, mk_ne_zero_iff]
exact ⟨var (Sum.inr 0)⟩
· rw [max_le_iff, ← infinite_iff]
refine ⟨Infinite.of_injective (fun i => ⟨i + 1, var (Sum.inr i)⟩) fun i j ij => ?_, ?_⟩
· cases ij
rfl
· rw [Cardinal.le_def]
refine ⟨⟨Sum.elim (fun i => ⟨0, var (Sum.inl i)⟩)
fun F => ⟨1, func F.2 fun _ => var (Sum.inr 0)⟩, ?_⟩⟩
rintro (a | a) (b | b) h
· simp only [Sum.elim_inl, Sigma.mk.inj_iff, heq_eq_eq, var.injEq, Sum.inl.injEq, true_and]
at h
rw [h]
· simp only [Sum.elim_inl, Sum.elim_inr, Sigma.mk.inj_iff, false_and] at h
· simp only [Sum.elim_inr, Sum.elim_inl, Sigma.mk.inj_iff, false_and] at h
· simp only [Sum.elim_inr, Sigma.mk.inj_iff, heq_eq_eq, func.injEq, true_and] at h
rw [Sigma.ext_iff.2 ⟨h.1, h.2.1⟩]
| 29 |
import Mathlib.Analysis.Normed.Field.Basic
import Mathlib.LinearAlgebra.Eigenspace.Basic
import Mathlib.LinearAlgebra.Determinant
variable {K n : Type*} [NormedField K] [Fintype n] [DecidableEq n] {A : Matrix n n K}
| Mathlib/LinearAlgebra/Matrix/Gershgorin.lean | 26 | 56 | theorem eigenvalue_mem_ball {μ : K} (hμ : Module.End.HasEigenvalue (Matrix.toLin' A) μ) :
∃ k, μ ∈ Metric.closedBall (A k k) (∑ j ∈ Finset.univ.erase k, ‖A k j‖) := by |
cases isEmpty_or_nonempty n
· exfalso
exact hμ Submodule.eq_bot_of_subsingleton
· obtain ⟨v, h_eg, h_nz⟩ := hμ.exists_hasEigenvector
obtain ⟨i, -, h_i⟩ := Finset.exists_mem_eq_sup' Finset.univ_nonempty (fun i => ‖v i‖)
have h_nz : v i ≠ 0 := by
contrapose! h_nz
ext j
rw [Pi.zero_apply, ← norm_le_zero_iff]
refine (h_i ▸ Finset.le_sup' (fun i => ‖v i‖) (Finset.mem_univ j)).trans ?_
exact norm_le_zero_iff.mpr h_nz
have h_le : ∀ j, ‖v j * (v i)⁻¹‖ ≤ 1 := fun j => by
rw [norm_mul, norm_inv, mul_inv_le_iff' (norm_pos_iff.mpr h_nz), one_mul]
exact h_i ▸ Finset.le_sup' (fun i => ‖v i‖) (Finset.mem_univ j)
simp_rw [mem_closedBall_iff_norm']
refine ⟨i, ?_⟩
calc
_ = ‖(A i i * v i - μ * v i) * (v i)⁻¹‖ := by congr; field_simp [h_nz]; ring
_ = ‖(A i i * v i - ∑ j, A i j * v j) * (v i)⁻¹‖ := by
rw [show μ * v i = ∑ x : n, A i x * v x by
rw [← Matrix.dotProduct, ← Matrix.mulVec]
exact (congrFun (Module.End.mem_eigenspace_iff.mp h_eg) i).symm]
_ = ‖(∑ j ∈ Finset.univ.erase i, A i j * v j) * (v i)⁻¹‖ := by
rw [Finset.sum_erase_eq_sub (Finset.mem_univ i), ← neg_sub, neg_mul, norm_neg]
_ ≤ ∑ j ∈ Finset.univ.erase i, ‖A i j‖ * ‖v j * (v i)⁻¹‖ := by
rw [Finset.sum_mul]
exact (norm_sum_le _ _).trans (le_of_eq (by simp_rw [mul_assoc, norm_mul]))
_ ≤ ∑ j ∈ Finset.univ.erase i, ‖A i j‖ :=
(Finset.sum_le_sum fun j _ => mul_le_of_le_one_right (norm_nonneg _) (h_le j))
| 29 |
import Mathlib.Analysis.SpecialFunctions.Log.Base
import Mathlib.MeasureTheory.Measure.MeasureSpaceDef
#align_import measure_theory.measure.doubling from "leanprover-community/mathlib"@"5f6e827d81dfbeb6151d7016586ceeb0099b9655"
noncomputable section
open Set Filter Metric MeasureTheory TopologicalSpace ENNReal NNReal Topology
class IsUnifLocDoublingMeasure {α : Type*} [MetricSpace α] [MeasurableSpace α]
(μ : Measure α) : Prop where
exists_measure_closedBall_le_mul'' :
∃ C : ℝ≥0, ∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x (2 * ε)) ≤ C * μ (closedBall x ε)
#align is_unif_loc_doubling_measure IsUnifLocDoublingMeasure
namespace IsUnifLocDoublingMeasure
variable {α : Type*} [MetricSpace α] [MeasurableSpace α] (μ : Measure α)
[IsUnifLocDoublingMeasure μ]
-- Porting note: added for missing infer kinds
theorem exists_measure_closedBall_le_mul :
∃ C : ℝ≥0, ∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x (2 * ε)) ≤ C * μ (closedBall x ε) :=
exists_measure_closedBall_le_mul''
def doublingConstant : ℝ≥0 :=
Classical.choose <| exists_measure_closedBall_le_mul μ
#align is_unif_loc_doubling_measure.doubling_constant IsUnifLocDoublingMeasure.doublingConstant
theorem exists_measure_closedBall_le_mul' :
∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x (2 * ε)) ≤ doublingConstant μ * μ (closedBall x ε) :=
Classical.choose_spec <| exists_measure_closedBall_le_mul μ
#align is_unif_loc_doubling_measure.exists_measure_closed_ball_le_mul' IsUnifLocDoublingMeasure.exists_measure_closedBall_le_mul'
| Mathlib/MeasureTheory/Measure/Doubling.lean | 69 | 99 | theorem exists_eventually_forall_measure_closedBall_le_mul (K : ℝ) :
∃ C : ℝ≥0, ∀ᶠ ε in 𝓝[>] 0, ∀ x, ∀ t ≤ K, μ (closedBall x (t * ε)) ≤ C * μ (closedBall x ε) := by |
let C := doublingConstant μ
have hμ :
∀ n : ℕ, ∀ᶠ ε in 𝓝[>] 0, ∀ x,
μ (closedBall x ((2 : ℝ) ^ n * ε)) ≤ ↑(C ^ n) * μ (closedBall x ε) := by
intro n
induction' n with n ih
· simp
replace ih := eventually_nhdsWithin_pos_mul_left (two_pos : 0 < (2 : ℝ)) ih
refine (ih.and (exists_measure_closedBall_le_mul' μ)).mono fun ε hε x => ?_
calc
μ (closedBall x ((2 : ℝ) ^ (n + 1) * ε)) = μ (closedBall x ((2 : ℝ) ^ n * (2 * ε))) := by
rw [pow_succ, mul_assoc]
_ ≤ ↑(C ^ n) * μ (closedBall x (2 * ε)) := hε.1 x
_ ≤ ↑(C ^ n) * (C * μ (closedBall x ε)) := by gcongr; exact hε.2 x
_ = ↑(C ^ (n + 1)) * μ (closedBall x ε) := by rw [← mul_assoc, pow_succ, ENNReal.coe_mul]
rcases lt_or_le K 1 with (hK | hK)
· refine ⟨1, ?_⟩
simp only [ENNReal.coe_one, one_mul]
refine eventually_mem_nhdsWithin.mono fun ε hε x t ht ↦ ?_
gcongr
nlinarith [mem_Ioi.mp hε]
· use C ^ ⌈Real.logb 2 K⌉₊
filter_upwards [hμ ⌈Real.logb 2 K⌉₊, eventually_mem_nhdsWithin] with ε hε hε₀ x t ht
refine le_trans ?_ (hε x)
gcongr
· exact (mem_Ioi.mp hε₀).le
· refine ht.trans ?_
rw [← Real.rpow_natCast, ← Real.logb_le_iff_le_rpow]
exacts [Nat.le_ceil _, by norm_num, by linarith]
| 29 |
import Mathlib.Analysis.Complex.CauchyIntegral
import Mathlib.Analysis.NormedSpace.Completion
import Mathlib.Analysis.NormedSpace.Extr
import Mathlib.Topology.Order.ExtrClosure
#align_import analysis.complex.abs_max from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open TopologicalSpace Metric Set Filter Asymptotics Function MeasureTheory AffineMap Bornology
open scoped Topology Filter NNReal Real
universe u v w
variable {E : Type u} [NormedAddCommGroup E] [NormedSpace ℂ E] {F : Type v} [NormedAddCommGroup F]
[NormedSpace ℂ F]
local postfix:100 "̂" => UniformSpace.Completion
namespace Complex
| Mathlib/Analysis/Complex/AbsMax.lean | 106 | 137 | theorem norm_max_aux₁ [CompleteSpace F] {f : ℂ → F} {z w : ℂ}
(hd : DiffContOnCl ℂ f (ball z (dist w z)))
(hz : IsMaxOn (norm ∘ f) (closedBall z (dist w z)) z) : ‖f w‖ = ‖f z‖ := by |
-- Consider a circle of radius `r = dist w z`.
set r : ℝ := dist w z
have hw : w ∈ closedBall z r := mem_closedBall.2 le_rfl
-- Assume the converse. Since `‖f w‖ ≤ ‖f z‖`, we have `‖f w‖ < ‖f z‖`.
refine (isMaxOn_iff.1 hz _ hw).antisymm (not_lt.1 ?_)
rintro hw_lt : ‖f w‖ < ‖f z‖
have hr : 0 < r := dist_pos.2 (ne_of_apply_ne (norm ∘ f) hw_lt.ne)
-- Due to Cauchy integral formula, it suffices to prove the following inequality.
suffices ‖∮ ζ in C(z, r), (ζ - z)⁻¹ • f ζ‖ < 2 * π * ‖f z‖ by
refine this.ne ?_
have A : (∮ ζ in C(z, r), (ζ - z)⁻¹ • f ζ) = (2 * π * I : ℂ) • f z :=
hd.circleIntegral_sub_inv_smul (mem_ball_self hr)
simp [A, norm_smul, Real.pi_pos.le]
suffices ‖∮ ζ in C(z, r), (ζ - z)⁻¹ • f ζ‖ < 2 * π * r * (‖f z‖ / r) by
rwa [mul_assoc, mul_div_cancel₀ _ hr.ne'] at this
/- This inequality is true because `‖(ζ - z)⁻¹ • f ζ‖ ≤ ‖f z‖ / r` for all `ζ` on the circle and
this inequality is strict at `ζ = w`. -/
have hsub : sphere z r ⊆ closedBall z r := sphere_subset_closedBall
refine circleIntegral.norm_integral_lt_of_norm_le_const_of_lt hr ?_ ?_ ⟨w, rfl, ?_⟩
· show ContinuousOn (fun ζ : ℂ => (ζ - z)⁻¹ • f ζ) (sphere z r)
refine ((continuousOn_id.sub continuousOn_const).inv₀ ?_).smul (hd.continuousOn_ball.mono hsub)
exact fun ζ hζ => sub_ne_zero.2 (ne_of_mem_sphere hζ hr.ne')
· show ∀ ζ ∈ sphere z r, ‖(ζ - z)⁻¹ • f ζ‖ ≤ ‖f z‖ / r
rintro ζ (hζ : abs (ζ - z) = r)
rw [le_div_iff hr, norm_smul, norm_inv, norm_eq_abs, hζ, mul_comm, mul_inv_cancel_left₀ hr.ne']
exact hz (hsub hζ)
show ‖(w - z)⁻¹ • f w‖ < ‖f z‖ / r
rw [norm_smul, norm_inv, norm_eq_abs, ← div_eq_inv_mul]
exact (div_lt_div_right hr).2 hw_lt
| 29 |
import Mathlib.RingTheory.Polynomial.Cyclotomic.Eval
#align_import number_theory.primes_congruent_one from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
namespace Nat
open Polynomial Nat Filter
open scoped Nat
| Mathlib/NumberTheory/PrimesCongruentOne.lean | 26 | 57 | theorem exists_prime_gt_modEq_one {k : ℕ} (n : ℕ) (hk0 : k ≠ 0) :
∃ p : ℕ, Nat.Prime p ∧ n < p ∧ p ≡ 1 [MOD k] := by |
rcases (one_le_iff_ne_zero.2 hk0).eq_or_lt with (rfl | hk1)
· rcases exists_infinite_primes (n + 1) with ⟨p, hnp, hp⟩
exact ⟨p, hp, hnp, modEq_one⟩
let b := k * (n !)
have hgt : 1 < (eval (↑b) (cyclotomic k ℤ)).natAbs := by
rcases le_iff_exists_add'.1 hk1.le with ⟨k, rfl⟩
have hb : 2 ≤ b := le_mul_of_le_of_one_le hk1 n.factorial_pos
calc
1 ≤ b - 1 := le_tsub_of_add_le_left hb
_ < (eval (b : ℤ) (cyclotomic (k + 1) ℤ)).natAbs :=
sub_one_lt_natAbs_cyclotomic_eval hk1 (succ_le_iff.1 hb).ne'
let p := minFac (eval (↑b) (cyclotomic k ℤ)).natAbs
haveI hprime : Fact p.Prime := ⟨minFac_prime (ne_of_lt hgt).symm⟩
have hroot : IsRoot (cyclotomic k (ZMod p)) (castRingHom (ZMod p) b) := by
have : ((b : ℤ) : ZMod p) = ↑(Int.castRingHom (ZMod p) b) := by simp
rw [IsRoot.def, ← map_cyclotomic_int k (ZMod p), eval_map, coe_castRingHom,
← Int.cast_natCast, this, eval₂_hom, Int.coe_castRingHom, ZMod.intCast_zmod_eq_zero_iff_dvd]
apply Int.dvd_natAbs.1
exact mod_cast minFac_dvd (eval (↑b) (cyclotomic k ℤ)).natAbs
have hpb : ¬p ∣ b :=
hprime.1.coprime_iff_not_dvd.1 (coprime_of_root_cyclotomic hk0.bot_lt hroot).symm
refine ⟨p, hprime.1, not_le.1 fun habs => ?_, ?_⟩
· exact hpb (dvd_mul_of_dvd_right (dvd_factorial (minFac_pos _) habs) _)
· have hdiv : orderOf (b : ZMod p) ∣ p - 1 :=
ZMod.orderOf_dvd_card_sub_one (mt (CharP.cast_eq_zero_iff _ _ _).1 hpb)
haveI : NeZero (k : ZMod p) :=
NeZero.of_not_dvd (ZMod p) fun hpk => hpb (dvd_mul_of_dvd_left hpk _)
have : k = orderOf (b : ZMod p) := (isRoot_cyclotomic_iff.mp hroot).eq_orderOf
rw [← this] at hdiv
exact ((modEq_iff_dvd' hprime.1.pos).2 hdiv).symm
| 30 |
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Bounds
#align_import data.real.pi.bounds from "leanprover-community/mathlib"@"402f8982dddc1864bd703da2d6e2ee304a866973"
-- Porting note: needed to add a lot of type ascriptions for lean to interpret numbers as reals.
open scoped Real
namespace Real
theorem pi_gt_sqrtTwoAddSeries (n : ℕ) :
(2 : ℝ) ^ (n + 1) * √(2 - sqrtTwoAddSeries 0 n) < π := by
have : √(2 - sqrtTwoAddSeries 0 n) / (2 : ℝ) * (2 : ℝ) ^ (n + 2) < π := by
rw [← lt_div_iff, ← sin_pi_over_two_pow_succ]
focus
apply sin_lt
apply div_pos pi_pos
all_goals apply pow_pos; norm_num
apply lt_of_le_of_lt (le_of_eq _) this
rw [pow_succ' _ (n + 1), ← mul_assoc, div_mul_cancel₀, mul_comm]; norm_num
#align real.pi_gt_sqrt_two_add_series Real.pi_gt_sqrtTwoAddSeries
| Mathlib/Data/Real/Pi/Bounds.lean | 40 | 71 | theorem pi_lt_sqrtTwoAddSeries (n : ℕ) :
π < (2 : ℝ) ^ (n + 1) * √(2 - sqrtTwoAddSeries 0 n) + 1 / (4 : ℝ) ^ n := by |
have : π <
(√(2 - sqrtTwoAddSeries 0 n) / (2 : ℝ) + (1 : ℝ) / ((2 : ℝ) ^ n) ^ 3 / 4) *
(2 : ℝ) ^ (n + 2) := by
rw [← div_lt_iff (by norm_num), ← sin_pi_over_two_pow_succ]
refine lt_of_lt_of_le (lt_add_of_sub_right_lt (sin_gt_sub_cube ?_ ?_)) ?_
· apply div_pos pi_pos; apply pow_pos; norm_num
· rw [div_le_iff']
· refine le_trans pi_le_four ?_
simp only [show (4 : ℝ) = (2 : ℝ) ^ 2 by norm_num, mul_one]
apply pow_le_pow_right (by norm_num)
apply le_add_of_nonneg_left; apply Nat.zero_le
· apply pow_pos; norm_num
apply add_le_add_left; rw [div_le_div_right (by norm_num)]
rw [le_div_iff (by norm_num), ← mul_pow]
refine le_trans ?_ (le_of_eq (one_pow 3)); apply pow_le_pow_left
· apply le_of_lt; apply mul_pos
· apply div_pos pi_pos; apply pow_pos; norm_num
· apply pow_pos; norm_num
· rw [← le_div_iff (by norm_num)]
refine le_trans ((div_le_div_right ?_).mpr pi_le_four) ?_
· apply pow_pos; norm_num
· simp only [pow_succ', ← div_div, one_div]
-- Porting note: removed `convert le_rfl`
norm_num
apply lt_of_lt_of_le this (le_of_eq _); rw [add_mul]; congr 1
· ring
simp only [show (4 : ℝ) = 2 ^ 2 by norm_num, ← pow_mul, div_div, ← pow_add]
rw [one_div, one_div, inv_mul_eq_iff_eq_mul₀, eq_comm, mul_inv_eq_iff_eq_mul₀, ← pow_add]
· rw [add_assoc, Nat.mul_succ, add_comm, add_comm n, add_assoc, mul_comm n]
all_goals norm_num
| 30 |
import Mathlib.Computability.Encoding
import Mathlib.Logic.Small.List
import Mathlib.ModelTheory.Syntax
import Mathlib.SetTheory.Cardinal.Ordinal
#align_import model_theory.encoding from "leanprover-community/mathlib"@"91288e351d51b3f0748f0a38faa7613fb0ae2ada"
universe u v w u' v'
namespace FirstOrder
namespace Language
variable {L : Language.{u, v}}
variable {M : Type w} {N P : Type*} [L.Structure M] [L.Structure N] [L.Structure P]
variable {α : Type u'} {β : Type v'}
open FirstOrder Cardinal
open Computability List Structure Cardinal Fin
namespace Term
def listEncode : L.Term α → List (Sum α (Σi, L.Functions i))
| var i => [Sum.inl i]
| func f ts =>
Sum.inr (⟨_, f⟩ : Σi, L.Functions i)::(List.finRange _).bind fun i => (ts i).listEncode
#align first_order.language.term.list_encode FirstOrder.Language.Term.listEncode
def listDecode : List (Sum α (Σi, L.Functions i)) → List (Option (L.Term α))
| [] => []
| Sum.inl a::l => some (var a)::listDecode l
| Sum.inr ⟨n, f⟩::l =>
if h : ∀ i : Fin n, ((listDecode l).get? i).join.isSome then
(func f fun i => Option.get _ (h i))::(listDecode l).drop n
else [none]
#align first_order.language.term.list_decode FirstOrder.Language.Term.listDecode
| Mathlib/ModelTheory/Encoding.lean | 67 | 98 | theorem listDecode_encode_list (l : List (L.Term α)) :
listDecode (l.bind listEncode) = l.map Option.some := by |
suffices h : ∀ (t : L.Term α) (l : List (Sum α (Σi, L.Functions i))),
listDecode (t.listEncode ++ l) = some t::listDecode l by
induction' l with t l lih
· rfl
· rw [cons_bind, h t (l.bind listEncode), lih, List.map]
intro t
induction' t with a n f ts ih <;> intro l
· rw [listEncode, singleton_append, listDecode]
· rw [listEncode, cons_append, listDecode]
have h : listDecode (((finRange n).bind fun i : Fin n => (ts i).listEncode) ++ l) =
(finRange n).map (Option.some ∘ ts) ++ listDecode l := by
induction' finRange n with i l' l'ih
· rfl
· rw [cons_bind, List.append_assoc, ih, map_cons, l'ih, cons_append, Function.comp]
have h' : ∀ i : Fin n,
(listDecode (((finRange n).bind fun i : Fin n => (ts i).listEncode) ++ l)).get? ↑i =
some (some (ts i)) := by
intro i
rw [h, get?_append, get?_map]
· simp only [Option.map_eq_some', Function.comp_apply, get?_eq_some]
refine ⟨i, ⟨lt_of_lt_of_le i.2 (ge_of_eq (length_finRange _)), ?_⟩, rfl⟩
rw [get_finRange, Fin.eta]
· refine lt_of_lt_of_le i.2 ?_
simp
refine (dif_pos fun i => Option.isSome_iff_exists.2 ⟨ts i, ?_⟩).trans ?_
· rw [Option.join_eq_some, h']
refine congr (congr rfl (congr rfl (congr rfl (funext fun i => Option.get_of_mem _ ?_)))) ?_
· simp [h']
· rw [h, drop_left']
rw [length_map, length_finRange]
| 30 |
import Mathlib.Data.Real.Pi.Bounds
import Mathlib.NumberTheory.NumberField.CanonicalEmbedding.ConvexBody
-- TODO. Rewrite some of the FLT results on the disciminant using the definitions and results of
-- this file
namespace NumberField
open FiniteDimensional NumberField NumberField.InfinitePlace Matrix
open scoped Classical Real nonZeroDivisors
variable (K : Type*) [Field K] [NumberField K]
noncomputable abbrev discr : ℤ := Algebra.discr ℤ (RingOfIntegers.basis K)
theorem coe_discr : (discr K : ℚ) = Algebra.discr ℚ (integralBasis K) :=
(Algebra.discr_localizationLocalization ℤ _ K (RingOfIntegers.basis K)).symm
theorem discr_ne_zero : discr K ≠ 0 := by
rw [← (Int.cast_injective (α := ℚ)).ne_iff, coe_discr]
exact Algebra.discr_not_zero_of_basis ℚ (integralBasis K)
theorem discr_eq_discr {ι : Type*} [Fintype ι] [DecidableEq ι] (b : Basis ι ℤ (𝓞 K)) :
Algebra.discr ℤ b = discr K := by
let b₀ := Basis.reindex (RingOfIntegers.basis K) (Basis.indexEquiv (RingOfIntegers.basis K) b)
rw [Algebra.discr_eq_discr (𝓞 K) b b₀, Basis.coe_reindex, Algebra.discr_reindex]
theorem discr_eq_discr_of_algEquiv {L : Type*} [Field L] [NumberField L] (f : K ≃ₐ[ℚ] L) :
discr K = discr L := by
let f₀ : 𝓞 K ≃ₗ[ℤ] 𝓞 L := (f.restrictScalars ℤ).mapIntegralClosure.toLinearEquiv
rw [← Rat.intCast_inj, coe_discr, Algebra.discr_eq_discr_of_algEquiv (integralBasis K) f,
← discr_eq_discr L ((RingOfIntegers.basis K).map f₀)]
change _ = algebraMap ℤ ℚ _
rw [← Algebra.discr_localizationLocalization ℤ (nonZeroDivisors ℤ) L]
congr
ext
simp only [Function.comp_apply, integralBasis_apply, Basis.localizationLocalization_apply,
Basis.map_apply]
rfl
open MeasureTheory MeasureTheory.Measure Zspan NumberField.mixedEmbedding
NumberField.InfinitePlace ENNReal NNReal Complex
| Mathlib/NumberTheory/NumberField/Discriminant.lean | 71 | 103 | theorem _root_.NumberField.mixedEmbedding.volume_fundamentalDomain_latticeBasis :
volume (fundamentalDomain (latticeBasis K)) =
(2 : ℝ≥0∞)⁻¹ ^ NrComplexPlaces K * sqrt ‖discr K‖₊ := by |
let f : Module.Free.ChooseBasisIndex ℤ (𝓞 K) ≃ (K →+* ℂ) :=
(canonicalEmbedding.latticeBasis K).indexEquiv (Pi.basisFun ℂ _)
let e : (index K) ≃ Module.Free.ChooseBasisIndex ℤ (𝓞 K) := (indexEquiv K).trans f.symm
let M := (mixedEmbedding.stdBasis K).toMatrix ((latticeBasis K).reindex e.symm)
let N := Algebra.embeddingsMatrixReindex ℚ ℂ (integralBasis K ∘ f.symm)
RingHom.equivRatAlgHom
suffices M.map Complex.ofReal = (matrixToStdBasis K) *
(Matrix.reindex (indexEquiv K).symm (indexEquiv K).symm N).transpose by
calc volume (fundamentalDomain (latticeBasis K))
_ = ‖((mixedEmbedding.stdBasis K).toMatrix ((latticeBasis K).reindex e.symm)).det‖₊ := by
rw [← fundamentalDomain_reindex _ e.symm, ← norm_toNNReal, measure_fundamentalDomain
((latticeBasis K).reindex e.symm), volume_fundamentalDomain_stdBasis, mul_one]
rfl
_ = ‖(matrixToStdBasis K).det * N.det‖₊ := by
rw [← nnnorm_real, ← ofReal_eq_coe, RingHom.map_det, RingHom.mapMatrix_apply, this,
det_mul, det_transpose, det_reindex_self]
_ = (2 : ℝ≥0∞)⁻¹ ^ Fintype.card {w : InfinitePlace K // IsComplex w} * sqrt ‖N.det ^ 2‖₊ := by
have : ‖Complex.I‖₊ = 1 := by rw [← norm_toNNReal, norm_eq_abs, abs_I, Real.toNNReal_one]
rw [det_matrixToStdBasis, nnnorm_mul, nnnorm_pow, nnnorm_mul, this, mul_one, nnnorm_inv,
coe_mul, ENNReal.coe_pow, ← norm_toNNReal, RCLike.norm_two, Real.toNNReal_ofNat,
coe_inv two_ne_zero, coe_ofNat, nnnorm_pow, NNReal.sqrt_sq]
_ = (2 : ℝ≥0∞)⁻¹ ^ Fintype.card { w // IsComplex w } * NNReal.sqrt ‖discr K‖₊ := by
rw [← Algebra.discr_eq_det_embeddingsMatrixReindex_pow_two, Algebra.discr_reindex,
← coe_discr, map_intCast, ← Complex.nnnorm_int]
ext : 2
dsimp only [M]
rw [Matrix.map_apply, Basis.toMatrix_apply, Basis.coe_reindex, Function.comp_apply,
Equiv.symm_symm, latticeBasis_apply, ← commMap_canonical_eq_mixed, Complex.ofReal_eq_coe,
stdBasis_repr_eq_matrixToStdBasis_mul K _ (fun _ => rfl)]
rfl
| 30 |
import Mathlib.Analysis.InnerProductSpace.Basic
import Mathlib.Analysis.NormedSpace.Dual
import Mathlib.MeasureTheory.Function.StronglyMeasurable.Lp
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.function.ae_eq_of_integral from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4"
open MeasureTheory TopologicalSpace NormedSpace Filter
open scoped ENNReal NNReal MeasureTheory Topology
namespace MeasureTheory
variable {α E : Type*} {m m0 : MeasurableSpace α} {μ : Measure α} {s t : Set α}
[NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {p : ℝ≥0∞}
section AeEqOfForallSetIntegralEq
| Mathlib/MeasureTheory/Function/AEEqOfIntegral.lean | 125 | 157 | theorem ae_const_le_iff_forall_lt_measure_zero {β} [LinearOrder β] [TopologicalSpace β]
[OrderTopology β] [FirstCountableTopology β] (f : α → β) (c : β) :
(∀ᵐ x ∂μ, c ≤ f x) ↔ ∀ b < c, μ {x | f x ≤ b} = 0 := by |
rw [ae_iff]
push_neg
constructor
· intro h b hb
exact measure_mono_null (fun y hy => (lt_of_le_of_lt hy hb : _)) h
intro hc
by_cases h : ∀ b, c ≤ b
· have : {a : α | f a < c} = ∅ := by
apply Set.eq_empty_iff_forall_not_mem.2 fun x hx => ?_
exact (lt_irrefl _ (lt_of_lt_of_le hx (h (f x)))).elim
simp [this]
by_cases H : ¬IsLUB (Set.Iio c) c
· have : c ∈ upperBounds (Set.Iio c) := fun y hy => le_of_lt hy
obtain ⟨b, b_up, bc⟩ : ∃ b : β, b ∈ upperBounds (Set.Iio c) ∧ b < c := by
simpa [IsLUB, IsLeast, this, lowerBounds] using H
exact measure_mono_null (fun x hx => b_up hx) (hc b bc)
push_neg at H h
obtain ⟨u, _, u_lt, u_lim, -⟩ :
∃ u : ℕ → β,
StrictMono u ∧ (∀ n : ℕ, u n < c) ∧ Tendsto u atTop (𝓝 c) ∧ ∀ n : ℕ, u n ∈ Set.Iio c :=
H.exists_seq_strictMono_tendsto_of_not_mem (lt_irrefl c) h
have h_Union : {x | f x < c} = ⋃ n : ℕ, {x | f x ≤ u n} := by
ext1 x
simp_rw [Set.mem_iUnion, Set.mem_setOf_eq]
constructor <;> intro h
· obtain ⟨n, hn⟩ := ((tendsto_order.1 u_lim).1 _ h).exists; exact ⟨n, hn.le⟩
· obtain ⟨n, hn⟩ := h; exact hn.trans_lt (u_lt _)
rw [h_Union, measure_iUnion_null_iff]
intro n
exact hc _ (u_lt n)
| 30 |
import Mathlib.MeasureTheory.Function.ConditionalExpectation.Indicator
import Mathlib.MeasureTheory.Function.UniformIntegrable
import Mathlib.MeasureTheory.Decomposition.RadonNikodym
#align_import measure_theory.function.conditional_expectation.real from "leanprover-community/mathlib"@"b2ff9a3d7a15fd5b0f060b135421d6a89a999c2f"
noncomputable section
open TopologicalSpace MeasureTheory.Lp Filter ContinuousLinearMap
open scoped NNReal ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α : Type*} {m m0 : MeasurableSpace α} {μ : Measure α}
theorem rnDeriv_ae_eq_condexp {hm : m ≤ m0} [hμm : SigmaFinite (μ.trim hm)] {f : α → ℝ}
(hf : Integrable f μ) :
SignedMeasure.rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm) =ᵐ[μ] μ[f|m] := by
refine ae_eq_condexp_of_forall_setIntegral_eq hm hf ?_ ?_ ?_
· exact fun _ _ _ => (integrable_of_integrable_trim hm
(SignedMeasure.integrable_rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm))).integrableOn
· intro s hs _
conv_rhs => rw [← hf.withDensityᵥ_trim_eq_integral hm hs,
← SignedMeasure.withDensityᵥ_rnDeriv_eq ((μ.withDensityᵥ f).trim hm) (μ.trim hm)
(hf.withDensityᵥ_trim_absolutelyContinuous hm)]
rw [withDensityᵥ_apply
(SignedMeasure.integrable_rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm)) hs,
← setIntegral_trim hm _ hs]
exact (SignedMeasure.measurable_rnDeriv _ _).stronglyMeasurable
· exact (SignedMeasure.measurable_rnDeriv _ _).stronglyMeasurable.aeStronglyMeasurable'
#align measure_theory.rn_deriv_ae_eq_condexp MeasureTheory.rnDeriv_ae_eq_condexp
-- TODO: the following couple of lemmas should be generalized and proved using Jensen's inequality
-- for the conditional expectation (not in mathlib yet) .
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Real.lean | 59 | 89 | theorem snorm_one_condexp_le_snorm (f : α → ℝ) : snorm (μ[f|m]) 1 μ ≤ snorm f 1 μ := by |
by_cases hf : Integrable f μ
swap; · rw [condexp_undef hf, snorm_zero]; exact zero_le _
by_cases hm : m ≤ m0
swap; · rw [condexp_of_not_le hm, snorm_zero]; exact zero_le _
by_cases hsig : SigmaFinite (μ.trim hm)
swap; · rw [condexp_of_not_sigmaFinite hm hsig, snorm_zero]; exact zero_le _
calc
snorm (μ[f|m]) 1 μ ≤ snorm (μ[(|f|)|m]) 1 μ := by
refine snorm_mono_ae ?_
filter_upwards [condexp_mono hf hf.abs
(ae_of_all μ (fun x => le_abs_self (f x) : ∀ x, f x ≤ |f x|)),
EventuallyLE.trans (condexp_neg f).symm.le
(condexp_mono hf.neg hf.abs
(ae_of_all μ (fun x => neg_le_abs (f x): ∀ x, -f x ≤ |f x|)))] with x hx₁ hx₂
exact abs_le_abs hx₁ hx₂
_ = snorm f 1 μ := by
rw [snorm_one_eq_lintegral_nnnorm, snorm_one_eq_lintegral_nnnorm, ←
ENNReal.toReal_eq_toReal (ne_of_lt integrable_condexp.2) (ne_of_lt hf.2), ←
integral_norm_eq_lintegral_nnnorm
(stronglyMeasurable_condexp.mono hm).aestronglyMeasurable,
← integral_norm_eq_lintegral_nnnorm hf.1]
simp_rw [Real.norm_eq_abs]
rw [← integral_condexp hm hf.abs]
refine integral_congr_ae ?_
have : 0 ≤ᵐ[μ] μ[(|f|)|m] := by
rw [← condexp_zero]
exact condexp_mono (integrable_zero _ _ _) hf.abs
(ae_of_all μ (fun x => abs_nonneg (f x) : ∀ x, 0 ≤ |f x|))
filter_upwards [this] with x hx
exact abs_eq_self.2 hx
| 30 |
import Mathlib.Data.List.Cycle
import Mathlib.GroupTheory.Perm.Cycle.Type
import Mathlib.GroupTheory.Perm.List
#align_import group_theory.perm.cycle.concrete from "leanprover-community/mathlib"@"00638177efd1b2534fc5269363ebf42a7871df9a"
open Equiv Equiv.Perm List
variable {α : Type*}
namespace Equiv.Perm
section Fintype
variable [Fintype α] [DecidableEq α] (p : Equiv.Perm α) (x : α)
def toList : List α :=
(List.range (cycleOf p x).support.card).map fun k => (p ^ k) x
#align equiv.perm.to_list Equiv.Perm.toList
@[simp]
theorem toList_one : toList (1 : Perm α) x = [] := by simp [toList, cycleOf_one]
#align equiv.perm.to_list_one Equiv.Perm.toList_one
@[simp]
theorem toList_eq_nil_iff {p : Perm α} {x} : toList p x = [] ↔ x ∉ p.support := by simp [toList]
#align equiv.perm.to_list_eq_nil_iff Equiv.Perm.toList_eq_nil_iff
@[simp]
theorem length_toList : length (toList p x) = (cycleOf p x).support.card := by simp [toList]
#align equiv.perm.length_to_list Equiv.Perm.length_toList
theorem toList_ne_singleton (y : α) : toList p x ≠ [y] := by
intro H
simpa [card_support_ne_one] using congr_arg length H
#align equiv.perm.to_list_ne_singleton Equiv.Perm.toList_ne_singleton
theorem two_le_length_toList_iff_mem_support {p : Perm α} {x : α} :
2 ≤ length (toList p x) ↔ x ∈ p.support := by simp
#align equiv.perm.two_le_length_to_list_iff_mem_support Equiv.Perm.two_le_length_toList_iff_mem_support
theorem length_toList_pos_of_mem_support (h : x ∈ p.support) : 0 < length (toList p x) :=
zero_lt_two.trans_le (two_le_length_toList_iff_mem_support.mpr h)
#align equiv.perm.length_to_list_pos_of_mem_support Equiv.Perm.length_toList_pos_of_mem_support
theorem get_toList (n : ℕ) (hn : n < length (toList p x)) :
(toList p x).get ⟨n, hn⟩ = (p ^ n) x := by simp [toList]
theorem toList_get_zero (h : x ∈ p.support) :
(toList p x).get ⟨0, (length_toList_pos_of_mem_support _ _ h)⟩ = x := by simp [toList]
set_option linter.deprecated false in
@[deprecated get_toList (since := "2024-05-08")]
theorem nthLe_toList (n : ℕ) (hn : n < length (toList p x)) :
(toList p x).nthLe n hn = (p ^ n) x := by simp [toList]
#align equiv.perm.nth_le_to_list Equiv.Perm.nthLe_toList
set_option linter.deprecated false in
@[deprecated toList_get_zero (since := "2024-05-08")]
theorem toList_nthLe_zero (h : x ∈ p.support) :
(toList p x).nthLe 0 (length_toList_pos_of_mem_support _ _ h) = x := by simp [toList]
#align equiv.perm.to_list_nth_le_zero Equiv.Perm.toList_nthLe_zero
variable {p} {x}
theorem mem_toList_iff {y : α} : y ∈ toList p x ↔ SameCycle p x y ∧ x ∈ p.support := by
simp only [toList, mem_range, mem_map]
constructor
· rintro ⟨n, hx, rfl⟩
refine ⟨⟨n, rfl⟩, ?_⟩
contrapose! hx
rw [← support_cycleOf_eq_nil_iff] at hx
simp [hx]
· rintro ⟨h, hx⟩
simpa using h.exists_pow_eq_of_mem_support hx
#align equiv.perm.mem_to_list_iff Equiv.Perm.mem_toList_iff
set_option linter.deprecated false in
| Mathlib/GroupTheory/Perm/Cycle/Concrete.lean | 278 | 308 | theorem nodup_toList (p : Perm α) (x : α) : Nodup (toList p x) := by |
by_cases hx : p x = x
· rw [← not_mem_support, ← toList_eq_nil_iff] at hx
simp [hx]
have hc : IsCycle (cycleOf p x) := isCycle_cycleOf p hx
rw [nodup_iff_nthLe_inj]
rintro n m hn hm
rw [length_toList, ← hc.orderOf] at hm hn
rw [← cycleOf_apply_self, ← Ne, ← mem_support] at hx
rw [nthLe_toList, nthLe_toList, ← cycleOf_pow_apply_self p x n, ←
cycleOf_pow_apply_self p x m]
cases' n with n <;> cases' m with m
· simp
· rw [← hc.support_pow_of_pos_of_lt_orderOf m.zero_lt_succ hm, mem_support,
cycleOf_pow_apply_self] at hx
simp [hx.symm]
· rw [← hc.support_pow_of_pos_of_lt_orderOf n.zero_lt_succ hn, mem_support,
cycleOf_pow_apply_self] at hx
simp [hx]
intro h
have hn' : ¬orderOf (p.cycleOf x) ∣ n.succ := Nat.not_dvd_of_pos_of_lt n.zero_lt_succ hn
have hm' : ¬orderOf (p.cycleOf x) ∣ m.succ := Nat.not_dvd_of_pos_of_lt m.zero_lt_succ hm
rw [← hc.support_pow_eq_iff] at hn' hm'
rw [← Nat.mod_eq_of_lt hn, ← Nat.mod_eq_of_lt hm, ← pow_inj_mod]
refine support_congr ?_ ?_
· rw [hm', hn']
· rw [hm']
intro y hy
obtain ⟨k, rfl⟩ := hc.exists_pow_eq (mem_support.mp hx) (mem_support.mp hy)
rw [← mul_apply, (Commute.pow_pow_self _ _ _).eq, mul_apply, h, ← mul_apply, ← mul_apply,
(Commute.pow_pow_self _ _ _).eq]
| 30 |
import Mathlib.Probability.Martingale.BorelCantelli
import Mathlib.Probability.ConditionalExpectation
import Mathlib.Probability.Independence.Basic
#align_import probability.borel_cantelli from "leanprover-community/mathlib"@"2f8347015b12b0864dfaf366ec4909eb70c78740"
open scoped MeasureTheory ProbabilityTheory ENNReal Topology
open MeasureTheory ProbabilityTheory MeasurableSpace TopologicalSpace
namespace ProbabilityTheory
variable {Ω : Type*} {m0 : MeasurableSpace Ω} {μ : Measure Ω} [IsProbabilityMeasure μ]
section BorelCantelli
variable {ι β : Type*} [LinearOrder ι] [mβ : MeasurableSpace β] [NormedAddCommGroup β]
[BorelSpace β] {f : ι → Ω → β} {i j : ι} {s : ι → Set Ω}
theorem iIndepFun.indep_comap_natural_of_lt (hf : ∀ i, StronglyMeasurable (f i))
(hfi : iIndepFun (fun _ => mβ) f μ) (hij : i < j) :
Indep (MeasurableSpace.comap (f j) mβ) (Filtration.natural f hf i) μ := by
suffices Indep (⨆ k ∈ ({j} : Set ι), MeasurableSpace.comap (f k) mβ)
(⨆ k ∈ {k | k ≤ i}, MeasurableSpace.comap (f k) mβ) μ by rwa [iSup_singleton] at this
exact indep_iSup_of_disjoint (fun k => (hf k).measurable.comap_le) hfi (by simpa)
set_option linter.uppercaseLean3 false in
#align probability_theory.Indep_fun.indep_comap_natural_of_lt ProbabilityTheory.iIndepFun.indep_comap_natural_of_lt
theorem iIndepFun.condexp_natural_ae_eq_of_lt [SecondCountableTopology β] [CompleteSpace β]
[NormedSpace ℝ β] (hf : ∀ i, StronglyMeasurable (f i)) (hfi : iIndepFun (fun _ => mβ) f μ)
(hij : i < j) : μ[f j|Filtration.natural f hf i] =ᵐ[μ] fun _ => μ[f j] :=
condexp_indep_eq (hf j).measurable.comap_le (Filtration.le _ _)
(comap_measurable <| f j).stronglyMeasurable (hfi.indep_comap_natural_of_lt hf hij)
set_option linter.uppercaseLean3 false in
#align probability_theory.Indep_fun.condexp_natural_ae_eq_of_lt ProbabilityTheory.iIndepFun.condexp_natural_ae_eq_of_lt
theorem iIndepSet.condexp_indicator_filtrationOfSet_ae_eq (hsm : ∀ n, MeasurableSet (s n))
(hs : iIndepSet s μ) (hij : i < j) :
μ[(s j).indicator (fun _ => 1 : Ω → ℝ)|filtrationOfSet hsm i] =ᵐ[μ]
fun _ => (μ (s j)).toReal := by
rw [Filtration.filtrationOfSet_eq_natural (β := ℝ) hsm]
refine (iIndepFun.condexp_natural_ae_eq_of_lt _ hs.iIndepFun_indicator hij).trans ?_
simp only [integral_indicator_const _ (hsm _), Algebra.id.smul_eq_mul, mul_one]; rfl
set_option linter.uppercaseLean3 false in
#align probability_theory.Indep_set.condexp_indicator_filtration_of_set_ae_eq ProbabilityTheory.iIndepSet.condexp_indicator_filtrationOfSet_ae_eq
open Filter
| Mathlib/Probability/BorelCantelli.lean | 74 | 105 | theorem measure_limsup_eq_one {s : ℕ → Set Ω} (hsm : ∀ n, MeasurableSet (s n)) (hs : iIndepSet s μ)
(hs' : (∑' n, μ (s n)) = ∞) : μ (limsup s atTop) = 1 := by |
rw [measure_congr (eventuallyEq_set.2 (ae_mem_limsup_atTop_iff μ <|
measurableSet_filtrationOfSet' hsm) : (limsup s atTop : Set Ω) =ᵐ[μ]
{ω | Tendsto (fun n => ∑ k ∈ Finset.range n,
(μ[(s (k + 1)).indicator (1 : Ω → ℝ)|filtrationOfSet hsm k]) ω) atTop atTop})]
suffices {ω | Tendsto (fun n => ∑ k ∈ Finset.range n,
(μ[(s (k + 1)).indicator (1 : Ω → ℝ)|filtrationOfSet hsm k]) ω) atTop atTop} =ᵐ[μ] Set.univ by
rw [measure_congr this, measure_univ]
have : ∀ᵐ ω ∂μ, ∀ n, (μ[(s (n + 1)).indicator (1 : Ω → ℝ)|filtrationOfSet hsm n]) ω = _ :=
ae_all_iff.2 fun n => hs.condexp_indicator_filtrationOfSet_ae_eq hsm n.lt_succ_self
filter_upwards [this] with ω hω
refine eq_true (?_ : Tendsto _ _ _)
simp_rw [hω]
have htends : Tendsto (fun n => ∑ k ∈ Finset.range n, μ (s (k + 1))) atTop (𝓝 ∞) := by
rw [← ENNReal.tsum_add_one_eq_top hs' (measure_ne_top _ _)]
exact ENNReal.tendsto_nat_tsum _
rw [ENNReal.tendsto_nhds_top_iff_nnreal] at htends
refine tendsto_atTop_atTop_of_monotone' ?_ ?_
· refine monotone_nat_of_le_succ fun n => ?_
rw [← sub_nonneg, Finset.sum_range_succ_sub_sum]
exact ENNReal.toReal_nonneg
· rintro ⟨B, hB⟩
refine not_eventually.2 (frequently_of_forall fun n => ?_) (htends B.toNNReal)
rw [mem_upperBounds] at hB
specialize hB (∑ k ∈ Finset.range n, μ (s (k + 1))).toReal _
· refine ⟨n, ?_⟩
rw [ENNReal.toReal_sum]
exact fun _ _ => measure_ne_top _ _
· rw [not_lt, ← ENNReal.toReal_le_toReal (ENNReal.sum_lt_top _).ne ENNReal.coe_ne_top]
· exact hB.trans (by simp)
· exact fun _ _ => measure_ne_top _ _
| 30 |
import Mathlib.CategoryTheory.Limits.Shapes.Terminal
import Mathlib.CategoryTheory.Limits.Shapes.BinaryProducts
#align_import category_theory.limits.shapes.strict_initial from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe v u
namespace CategoryTheory
namespace Limits
open Category
variable (C : Type u) [Category.{v} C]
section StrictTerminal
class HasStrictTerminalObjects : Prop where
out : ∀ {I A : C} (f : I ⟶ A), IsTerminal I → IsIso f
#align category_theory.limits.has_strict_terminal_objects CategoryTheory.Limits.HasStrictTerminalObjects
variable {C}
section
variable [HasStrictTerminalObjects C] {I : C}
theorem IsTerminal.isIso_from (hI : IsTerminal I) {A : C} (f : I ⟶ A) : IsIso f :=
HasStrictTerminalObjects.out f hI
#align category_theory.limits.is_terminal.is_iso_from CategoryTheory.Limits.IsTerminal.isIso_from
theorem IsTerminal.strict_hom_ext (hI : IsTerminal I) {A : C} (f g : I ⟶ A) : f = g := by
haveI := hI.isIso_from f
haveI := hI.isIso_from g
exact eq_of_inv_eq_inv (hI.hom_ext (inv f) (inv g))
#align category_theory.limits.is_terminal.strict_hom_ext CategoryTheory.Limits.IsTerminal.strict_hom_ext
theorem IsTerminal.subsingleton_to (hI : IsTerminal I) {A : C} : Subsingleton (I ⟶ A) :=
⟨hI.strict_hom_ext⟩
#align category_theory.limits.is_terminal.subsingleton_to CategoryTheory.Limits.IsTerminal.subsingleton_to
variable {J : Type v} [SmallCategory J]
| Mathlib/CategoryTheory/Limits/Shapes/StrictInitial.lean | 206 | 237 | theorem limit_π_isIso_of_is_strict_terminal (F : J ⥤ C) [HasLimit F] (i : J)
(H : ∀ (j) (_ : j ≠ i), IsTerminal (F.obj j)) [Subsingleton (i ⟶ i)] : IsIso (limit.π F i) := by |
classical
refine ⟨⟨limit.lift _ ⟨_, ⟨?_, ?_⟩⟩, ?_, ?_⟩⟩
· exact fun j =>
dite (j = i)
(fun h => eqToHom (by cases h; rfl))
fun h => (H _ h).from _
· intro j k f
split_ifs with h h_1 h_1
· cases h
cases h_1
obtain rfl : f = 𝟙 _ := Subsingleton.elim _ _
simp
· cases h
erw [Category.comp_id]
haveI : IsIso (F.map f) := (H _ h_1).isIso_from _
rw [← IsIso.comp_inv_eq]
apply (H _ h_1).hom_ext
· cases h_1
apply (H _ h).hom_ext
· apply (H _ h).hom_ext
· ext
rw [assoc, limit.lift_π]
dsimp only
split_ifs with h
· cases h
rw [id_comp, eqToHom_refl]
exact comp_id _
· apply (H _ h).hom_ext
· rw [limit.lift_π]
simp
| 30 |
import Mathlib.Algebra.MvPolynomial.Basic
import Mathlib.Data.Fintype.Card
import Mathlib.RingTheory.Algebraic
#align_import field_theory.ax_grothendieck from "leanprover-community/mathlib"@"4e529b03dd62b7b7d13806c3fb974d9d4848910e"
noncomputable section
open MvPolynomial Finset Function
| Mathlib/FieldTheory/AxGrothendieck.lean | 33 | 66 | theorem ax_grothendieck_of_locally_finite {ι K R : Type*} [Field K] [Finite K] [CommRing R]
[Finite ι] [Algebra K R] [Algebra.IsAlgebraic K R] (ps : ι → MvPolynomial ι R)
(hinj : Injective fun v i => MvPolynomial.eval v (ps i)) :
Surjective fun v i => MvPolynomial.eval v (ps i) := by |
classical
intro v
cases nonempty_fintype ι
/- `s` is the set of all coefficients of the polynomial, as well as all of
the coordinates of `v`, the point I am trying to find the preimage of. -/
let s : Finset R :=
(Finset.biUnion (univ : Finset ι) fun i => (ps i).support.image fun x => coeff x (ps i)) ∪
(univ : Finset ι).image v
have hv : ∀ i, v i ∈ Algebra.adjoin K (s : Set R) := fun j =>
Algebra.subset_adjoin (mem_union_right _ (mem_image.2 ⟨j, mem_univ _, rfl⟩))
have hs₁ : ∀ (i : ι) (k : ι →₀ ℕ),
k ∈ (ps i).support → coeff k (ps i) ∈ Algebra.adjoin K (s : Set R) :=
fun i k hk => Algebra.subset_adjoin
(mem_union_left _ (mem_biUnion.2 ⟨i, mem_univ _, mem_image_of_mem _ hk⟩))
letI := isNoetherian_adjoin_finset s fun x _ => Algebra.IsIntegral.isIntegral (R := K) x
letI := Module.IsNoetherian.finite K (Algebra.adjoin K (s : Set R))
letI : Finite (Algebra.adjoin K (s : Set R)) :=
FiniteDimensional.finite_of_finite K (Algebra.adjoin K (s : Set R))
-- The restriction of the polynomial map, `ps`, to the subalgebra generated by `s`
let res : (ι → Algebra.adjoin K (s : Set R)) → ι → Algebra.adjoin K (s : Set R) := fun x i =>
⟨eval (fun j : ι => (x j : R)) (ps i), eval_mem (hs₁ _) fun i => (x i).2⟩
have hres_inj : Injective res := by
intro x y hxy
ext i
simp only [Subtype.ext_iff, funext_iff] at hxy
exact congr_fun (hinj (funext hxy)) i
have hres_surj : Surjective res := Finite.injective_iff_surjective.1 hres_inj
cases' hres_surj fun i => ⟨v i, hv i⟩ with w hw
use fun i => w i
simpa only [Subtype.ext_iff, funext_iff] using hw
| 30 |
import Mathlib.Data.Matrix.Block
import Mathlib.Data.Matrix.Notation
import Mathlib.Data.Matrix.RowCol
import Mathlib.GroupTheory.GroupAction.Ring
import Mathlib.GroupTheory.Perm.Fin
import Mathlib.LinearAlgebra.Alternating.Basic
#align_import linear_algebra.matrix.determinant from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395"
universe u v w z
open Equiv Equiv.Perm Finset Function
namespace Matrix
open Matrix
variable {m n : Type*} [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m]
variable {R : Type v} [CommRing R]
local notation "ε " σ:arg => ((sign σ : ℤ) : R)
def detRowAlternating : (n → R) [⋀^n]→ₗ[R] R :=
MultilinearMap.alternatization ((MultilinearMap.mkPiAlgebra R n R).compLinearMap LinearMap.proj)
#align matrix.det_row_alternating Matrix.detRowAlternating
abbrev det (M : Matrix n n R) : R :=
detRowAlternating M
#align matrix.det Matrix.det
theorem det_apply (M : Matrix n n R) : M.det = ∑ σ : Perm n, Equiv.Perm.sign σ • ∏ i, M (σ i) i :=
MultilinearMap.alternatization_apply _ M
#align matrix.det_apply Matrix.det_apply
-- This is what the old definition was. We use it to avoid having to change the old proofs below
theorem det_apply' (M : Matrix n n R) : M.det = ∑ σ : Perm n, ε σ * ∏ i, M (σ i) i := by
simp [det_apply, Units.smul_def]
#align matrix.det_apply' Matrix.det_apply'
@[simp]
theorem det_diagonal {d : n → R} : det (diagonal d) = ∏ i, d i := by
rw [det_apply']
refine (Finset.sum_eq_single 1 ?_ ?_).trans ?_
· rintro σ - h2
cases' not_forall.1 (mt Equiv.ext h2) with x h3
convert mul_zero (ε σ)
apply Finset.prod_eq_zero (mem_univ x)
exact if_neg h3
· simp
· simp
#align matrix.det_diagonal Matrix.det_diagonal
-- @[simp] -- Porting note (#10618): simp can prove this
theorem det_zero (_ : Nonempty n) : det (0 : Matrix n n R) = 0 :=
(detRowAlternating : (n → R) [⋀^n]→ₗ[R] R).map_zero
#align matrix.det_zero Matrix.det_zero
@[simp]
theorem det_one : det (1 : Matrix n n R) = 1 := by rw [← diagonal_one]; simp [-diagonal_one]
#align matrix.det_one Matrix.det_one
theorem det_isEmpty [IsEmpty n] {A : Matrix n n R} : det A = 1 := by simp [det_apply]
#align matrix.det_is_empty Matrix.det_isEmpty
@[simp]
theorem coe_det_isEmpty [IsEmpty n] : (det : Matrix n n R → R) = Function.const _ 1 := by
ext
exact det_isEmpty
#align matrix.coe_det_is_empty Matrix.coe_det_isEmpty
theorem det_eq_one_of_card_eq_zero {A : Matrix n n R} (h : Fintype.card n = 0) : det A = 1 :=
haveI : IsEmpty n := Fintype.card_eq_zero_iff.mp h
det_isEmpty
#align matrix.det_eq_one_of_card_eq_zero Matrix.det_eq_one_of_card_eq_zero
@[simp]
theorem det_unique {n : Type*} [Unique n] [DecidableEq n] [Fintype n] (A : Matrix n n R) :
det A = A default default := by simp [det_apply, univ_unique]
#align matrix.det_unique Matrix.det_unique
theorem det_eq_elem_of_subsingleton [Subsingleton n] (A : Matrix n n R) (k : n) :
det A = A k k := by
have := uniqueOfSubsingleton k
convert det_unique A
#align matrix.det_eq_elem_of_subsingleton Matrix.det_eq_elem_of_subsingleton
theorem det_eq_elem_of_card_eq_one {A : Matrix n n R} (h : Fintype.card n = 1) (k : n) :
det A = A k k :=
haveI : Subsingleton n := Fintype.card_le_one_iff_subsingleton.mp h.le
det_eq_elem_of_subsingleton _ _
#align matrix.det_eq_elem_of_card_eq_one Matrix.det_eq_elem_of_card_eq_one
theorem det_mul_aux {M N : Matrix n n R} {p : n → n} (H : ¬Bijective p) :
(∑ σ : Perm n, ε σ * ∏ x, M (σ x) (p x) * N (p x) x) = 0 := by
obtain ⟨i, j, hpij, hij⟩ : ∃ i j, p i = p j ∧ i ≠ j := by
rw [← Finite.injective_iff_bijective, Injective] at H
push_neg at H
exact H
exact
sum_involution (fun σ _ => σ * Equiv.swap i j)
(fun σ _ => by
have : (∏ x, M (σ x) (p x)) = ∏ x, M ((σ * Equiv.swap i j) x) (p x) :=
Fintype.prod_equiv (swap i j) _ _ (by simp [apply_swap_eq_self hpij])
simp [this, sign_swap hij, -sign_swap', prod_mul_distrib])
(fun σ _ _ => (not_congr mul_swap_eq_iff).mpr hij) (fun _ _ => mem_univ _) fun σ _ =>
mul_swap_involutive i j σ
#align matrix.det_mul_aux Matrix.det_mul_aux
@[simp]
| Mathlib/LinearAlgebra/Matrix/Determinant/Basic.lean | 145 | 178 | theorem det_mul (M N : Matrix n n R) : det (M * N) = det M * det N :=
calc
det (M * N) = ∑ p : n → n, ∑ σ : Perm n, ε σ * ∏ i, M (σ i) (p i) * N (p i) i := by |
simp only [det_apply', mul_apply, prod_univ_sum, mul_sum, Fintype.piFinset_univ]
rw [Finset.sum_comm]
_ =
∑ p ∈ (@univ (n → n) _).filter Bijective,
∑ σ : Perm n, ε σ * ∏ i, M (σ i) (p i) * N (p i) i :=
(Eq.symm <|
sum_subset (filter_subset _ _) fun f _ hbij =>
det_mul_aux <| by simpa only [true_and_iff, mem_filter, mem_univ] using hbij)
_ = ∑ τ : Perm n, ∑ σ : Perm n, ε σ * ∏ i, M (σ i) (τ i) * N (τ i) i :=
sum_bij (fun p h ↦ Equiv.ofBijective p (mem_filter.1 h).2) (fun _ _ ↦ mem_univ _)
(fun _ _ _ _ h ↦ by injection h)
(fun b _ ↦ ⟨b, mem_filter.2 ⟨mem_univ _, b.bijective⟩, coe_fn_injective rfl⟩) fun _ _ ↦ rfl
_ = ∑ σ : Perm n, ∑ τ : Perm n, (∏ i, N (σ i) i) * ε τ * ∏ j, M (τ j) (σ j) := by
simp only [mul_comm, mul_left_comm, prod_mul_distrib, mul_assoc]
_ = ∑ σ : Perm n, ∑ τ : Perm n, (∏ i, N (σ i) i) * (ε σ * ε τ) * ∏ i, M (τ i) i :=
(sum_congr rfl fun σ _ =>
Fintype.sum_equiv (Equiv.mulRight σ⁻¹) _ _ fun τ => by
have : (∏ j, M (τ j) (σ j)) = ∏ j, M ((τ * σ⁻¹) j) j := by
rw [← (σ⁻¹ : _ ≃ _).prod_comp]
simp only [Equiv.Perm.coe_mul, apply_inv_self, Function.comp_apply]
have h : ε σ * ε (τ * σ⁻¹) = ε τ :=
calc
ε σ * ε (τ * σ⁻¹) = ε (τ * σ⁻¹ * σ) := by
rw [mul_comm, sign_mul (τ * σ⁻¹)]
simp only [Int.cast_mul, Units.val_mul]
_ = ε τ := by simp only [inv_mul_cancel_right]
simp_rw [Equiv.coe_mulRight, h]
simp only [this])
_ = det M * det N := by
simp only [det_apply', Finset.mul_sum, mul_comm, mul_left_comm, mul_assoc]
| 30 |
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.LinearAlgebra.Matrix.GeneralLinearGroup
import Mathlib.LinearAlgebra.Matrix.Nondegenerate
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.LinearAlgebra.Matrix.ToLin
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.RingTheory.Localization.Integer
#align_import linear_algebra.matrix.to_linear_equiv from "leanprover-community/mathlib"@"e42cfdb03b7902f8787a1eb552cb8f77766b45b9"
variable {n : Type*} [Fintype n]
namespace Matrix
section LinearEquiv
open LinearMap
variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M]
section Nondegenerate
open Matrix
theorem exists_mulVec_eq_zero_iff_aux {K : Type*} [DecidableEq n] [Field K] {M : Matrix n n K} :
(∃ v ≠ 0, M *ᵥ v = 0) ↔ M.det = 0 := by
constructor
· rintro ⟨v, hv, mul_eq⟩
contrapose! hv
exact eq_zero_of_mulVec_eq_zero hv mul_eq
· contrapose!
intro h
have : Function.Injective (Matrix.toLin' M) := by
simpa only [← LinearMap.ker_eq_bot, ker_toLin'_eq_bot_iff, not_imp_not] using h
have :
M *
LinearMap.toMatrix'
((LinearEquiv.ofInjectiveEndo (Matrix.toLin' M) this).symm : (n → K) →ₗ[K] n → K) =
1 := by
refine Matrix.toLin'.injective (LinearMap.ext fun v => ?_)
rw [Matrix.toLin'_mul, Matrix.toLin'_one, Matrix.toLin'_toMatrix', LinearMap.comp_apply]
exact (LinearEquiv.ofInjectiveEndo (Matrix.toLin' M) this).apply_symm_apply v
exact Matrix.det_ne_zero_of_right_inverse this
#align matrix.exists_mul_vec_eq_zero_iff_aux Matrix.exists_mulVec_eq_zero_iff_aux
| Mathlib/LinearAlgebra/Matrix/ToLinearEquiv.lean | 135 | 167 | theorem exists_mulVec_eq_zero_iff' {A : Type*} (K : Type*) [DecidableEq n] [CommRing A]
[Nontrivial A] [Field K] [Algebra A K] [IsFractionRing A K] {M : Matrix n n A} :
(∃ v ≠ 0, M *ᵥ v = 0) ↔ M.det = 0 := by |
have : (∃ v ≠ 0, (algebraMap A K).mapMatrix M *ᵥ v = 0) ↔ _ :=
exists_mulVec_eq_zero_iff_aux
rw [← RingHom.map_det, IsFractionRing.to_map_eq_zero_iff] at this
refine Iff.trans ?_ this; constructor <;> rintro ⟨v, hv, mul_eq⟩
· refine ⟨fun i => algebraMap _ _ (v i), mt (fun h => funext fun i => ?_) hv, ?_⟩
· exact IsFractionRing.to_map_eq_zero_iff.mp (congr_fun h i)
· ext i
refine (RingHom.map_mulVec _ _ _ i).symm.trans ?_
rw [mul_eq, Pi.zero_apply, RingHom.map_zero, Pi.zero_apply]
· letI := Classical.decEq K
obtain ⟨⟨b, hb⟩, ba_eq⟩ :=
IsLocalization.exist_integer_multiples_of_finset (nonZeroDivisors A) (Finset.univ.image v)
choose f hf using ba_eq
refine
⟨fun i => f _ (Finset.mem_image.mpr ⟨i, Finset.mem_univ i, rfl⟩),
mt (fun h => funext fun i => ?_) hv, ?_⟩
· have := congr_arg (algebraMap A K) (congr_fun h i)
rw [hf, Subtype.coe_mk, Pi.zero_apply, RingHom.map_zero, Algebra.smul_def, mul_eq_zero,
IsFractionRing.to_map_eq_zero_iff] at this
exact this.resolve_left (nonZeroDivisors.ne_zero hb)
· ext i
refine IsFractionRing.injective A K ?_
calc
algebraMap A K ((M *ᵥ (fun i : n => f (v i) _)) i) =
((algebraMap A K).mapMatrix M *ᵥ algebraMap _ K b • v) i := ?_
_ = 0 := ?_
_ = algebraMap A K 0 := (RingHom.map_zero _).symm
· simp_rw [RingHom.map_mulVec, mulVec, dotProduct, Function.comp_apply, hf,
RingHom.mapMatrix_apply, Pi.smul_apply, smul_eq_mul, Algebra.smul_def]
· rw [mulVec_smul, mul_eq, Pi.smul_apply, Pi.zero_apply, smul_zero]
| 30 |
import Mathlib.Analysis.Fourier.Inversion
open Real Complex Set MeasureTheory
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E]
open scoped FourierTransform
private theorem rexp_neg_deriv_aux :
∀ x ∈ univ, HasDerivWithinAt (rexp ∘ Neg.neg) (-rexp (-x)) univ x :=
fun x _ ↦ mul_neg_one (rexp (-x)) ▸
((Real.hasDerivAt_exp (-x)).comp x (hasDerivAt_neg x)).hasDerivWithinAt
private theorem rexp_neg_image_aux : rexp ∘ Neg.neg '' univ = Ioi 0 := by
rw [Set.image_comp, Set.image_univ_of_surjective neg_surjective, Set.image_univ, Real.range_exp]
private theorem rexp_neg_injOn_aux : univ.InjOn (rexp ∘ Neg.neg) :=
Real.exp_injective.injOn.comp neg_injective.injOn (univ.mapsTo_univ _)
private theorem rexp_cexp_aux (x : ℝ) (s : ℂ) (f : E) :
rexp (-x) • cexp (-↑x) ^ (s - 1) • f = cexp (-s * ↑x) • f := by
show (rexp (-x) : ℂ) • _ = _ • f
rw [← smul_assoc, smul_eq_mul]
push_cast
conv in cexp _ * _ => lhs; rw [← cpow_one (cexp _)]
rw [← cpow_add _ _ (Complex.exp_ne_zero _), cpow_def_of_ne_zero (Complex.exp_ne_zero _),
Complex.log_exp (by norm_num; exact pi_pos) (by simpa using pi_nonneg)]
ring_nf
theorem mellin_eq_fourierIntegral (f : ℝ → E) {s : ℂ} :
mellin f s = 𝓕 (fun (u : ℝ) ↦ (Real.exp (-s.re * u) • f (Real.exp (-u)))) (s.im / (2 * π)) :=
calc
mellin f s
= ∫ (u : ℝ), Complex.exp (-s * u) • f (Real.exp (-u)) := by
rw [mellin, ← rexp_neg_image_aux, integral_image_eq_integral_abs_deriv_smul
MeasurableSet.univ rexp_neg_deriv_aux rexp_neg_injOn_aux]
simp [rexp_cexp_aux]
_ = ∫ (u : ℝ), Complex.exp (↑(-2 * π * (u * (s.im / (2 * π)))) * I) •
(Real.exp (-s.re * u) • f (Real.exp (-u))) := by
congr
ext u
trans Complex.exp (-s.im * u * I) • (Real.exp (-s.re * u) • f (Real.exp (-u)))
· conv => lhs; rw [← re_add_im s]
rw [neg_add, add_mul, Complex.exp_add, mul_comm, ← smul_eq_mul, smul_assoc]
norm_cast
push_cast
ring_nf
congr
rw [mul_comm (-s.im : ℂ) (u : ℂ), mul_comm (-2 * π)]
have : 2 * (π : ℂ) ≠ 0 := by norm_num; exact pi_ne_zero
field_simp
_ = 𝓕 (fun (u : ℝ) ↦ (Real.exp (-s.re * u) • f (Real.exp (-u)))) (s.im / (2 * π)) := by
simp [fourierIntegral_eq']
theorem mellinInv_eq_fourierIntegralInv (σ : ℝ) (f : ℂ → E) {x : ℝ} (hx : 0 < x) :
mellinInv σ f x =
(x : ℂ) ^ (-σ : ℂ) • 𝓕⁻ (fun (y : ℝ) ↦ f (σ + 2 * π * y * I)) (-Real.log x) := calc
mellinInv σ f x
= (x : ℂ) ^ (-σ : ℂ) •
(∫ (y : ℝ), Complex.exp (2 * π * (y * (-Real.log x)) * I) • f (σ + 2 * π * y * I)) := by
rw [mellinInv, one_div, ← abs_of_pos (show 0 < (2 * π)⁻¹ by norm_num; exact pi_pos)]
have hx0 : (x : ℂ) ≠ 0 := ofReal_ne_zero.mpr (ne_of_gt hx)
simp_rw [neg_add, cpow_add _ _ hx0, mul_smul, integral_smul]
rw [smul_comm, ← Measure.integral_comp_mul_left]
congr! 3
rw [cpow_def_of_ne_zero hx0, ← Complex.ofReal_log hx.le]
push_cast
ring_nf
_ = (x : ℂ) ^ (-σ : ℂ) • 𝓕⁻ (fun (y : ℝ) ↦ f (σ + 2 * π * y * I)) (-Real.log x) := by
simp [fourierIntegralInv_eq']
variable [CompleteSpace E]
| Mathlib/Analysis/MellinInversion.lean | 89 | 121 | theorem mellin_inversion (σ : ℝ) (f : ℝ → E) {x : ℝ} (hx : 0 < x) (hf : MellinConvergent f σ)
(hFf : VerticalIntegrable (mellin f) σ) (hfx : ContinuousAt f x) :
mellinInv σ (mellin f) x = f x := by |
let g := fun (u : ℝ) => Real.exp (-σ * u) • f (Real.exp (-u))
replace hf : Integrable g := by
rw [MellinConvergent, ← rexp_neg_image_aux, integrableOn_image_iff_integrableOn_abs_deriv_smul
MeasurableSet.univ rexp_neg_deriv_aux rexp_neg_injOn_aux] at hf
replace hf : Integrable fun (x : ℝ) ↦ cexp (-↑σ * ↑x) • f (rexp (-x)) := by
simpa [rexp_cexp_aux] using hf
norm_cast at hf
replace hFf : Integrable (𝓕 g) := by
have h2π : 2 * π ≠ 0 := by norm_num; exact pi_ne_zero
have : Integrable (𝓕 (fun u ↦ rexp (-(σ * u)) • f (rexp (-u)))) := by
simpa [mellin_eq_fourierIntegral, mul_div_cancel_right₀ _ h2π] using hFf.comp_mul_right' h2π
simp_rw [neg_mul_eq_neg_mul] at this
exact this
replace hfx : ContinuousAt g (-Real.log x) := by
refine ContinuousAt.smul (by fun_prop) (ContinuousAt.comp ?_ (by fun_prop))
simpa [Real.exp_log hx] using hfx
calc
mellinInv σ (mellin f) x
= mellinInv σ (fun s ↦ 𝓕 g (s.im / (2 * π))) x := by
simp [g, mellinInv, mellin_eq_fourierIntegral]
_ = (x : ℂ) ^ (-σ : ℂ) • g (-Real.log x) := by
rw [mellinInv_eq_fourierIntegralInv _ _ hx, ← hf.fourier_inversion hFf hfx]
simp [mul_div_cancel_left₀ _ (show 2 * π ≠ 0 by norm_num; exact pi_ne_zero)]
_ = (x : ℂ) ^ (-σ : ℂ) • rexp (σ * Real.log x) • f (rexp (Real.log x)) := by simp [g]
_ = f x := by
norm_cast
rw [mul_comm σ, ← rpow_def_of_pos hx, Real.exp_log hx, ← Complex.ofReal_cpow hx.le]
norm_cast
rw [← smul_assoc, smul_eq_mul, Real.rpow_neg hx.le,
inv_mul_cancel (ne_of_gt (rpow_pos_of_pos hx σ)), one_smul]
| 30 |
import Mathlib.Control.Monad.Basic
import Mathlib.Data.Fintype.Basic
import Mathlib.Data.List.ProdSigma
#align_import data.fin_enum from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
universe u v
open Finset
class FinEnum (α : Sort*) where
card : ℕ
equiv : α ≃ Fin card
[decEq : DecidableEq α]
#align fin_enum FinEnum
attribute [instance 100] FinEnum.decEq
namespace FinEnum
variable {α : Type u} {β : α → Type v}
def ofEquiv (α) {β} [FinEnum α] (h : β ≃ α) : FinEnum β where
card := card α
equiv := h.trans (equiv)
decEq := (h.trans (equiv)).decidableEq
#align fin_enum.of_equiv FinEnum.ofEquiv
def ofNodupList [DecidableEq α] (xs : List α) (h : ∀ x : α, x ∈ xs) (h' : List.Nodup xs) :
FinEnum α where
card := xs.length
equiv :=
⟨fun x => ⟨xs.indexOf x, by rw [List.indexOf_lt_length]; apply h⟩, xs.get, fun x => by simp,
fun i => by ext; simp [List.get_indexOf h']⟩
#align fin_enum.of_nodup_list FinEnum.ofNodupList
def ofList [DecidableEq α] (xs : List α) (h : ∀ x : α, x ∈ xs) : FinEnum α :=
ofNodupList xs.dedup (by simp [*]) (List.nodup_dedup _)
#align fin_enum.of_list FinEnum.ofList
def toList (α) [FinEnum α] : List α :=
(List.finRange (card α)).map (equiv).symm
#align fin_enum.to_list FinEnum.toList
open Function
@[simp]
theorem mem_toList [FinEnum α] (x : α) : x ∈ toList α := by
simp [toList]; exists equiv x; simp
#align fin_enum.mem_to_list FinEnum.mem_toList
@[simp]
theorem nodup_toList [FinEnum α] : List.Nodup (toList α) := by
simp [toList]; apply List.Nodup.map <;> [apply Equiv.injective; apply List.nodup_finRange]
#align fin_enum.nodup_to_list FinEnum.nodup_toList
def ofSurjective {β} (f : β → α) [DecidableEq α] [FinEnum β] (h : Surjective f) : FinEnum α :=
ofList ((toList β).map f) (by intro; simp; exact h _)
#align fin_enum.of_surjective FinEnum.ofSurjective
noncomputable def ofInjective {α β} (f : α → β) [DecidableEq α] [FinEnum β] (h : Injective f) :
FinEnum α :=
ofList ((toList β).filterMap (partialInv f))
(by
intro x
simp only [mem_toList, true_and_iff, List.mem_filterMap]
use f x
simp only [h, Function.partialInv_left])
#align fin_enum.of_injective FinEnum.ofInjective
instance pempty : FinEnum PEmpty :=
ofList [] fun x => PEmpty.elim x
#align fin_enum.pempty FinEnum.pempty
instance empty : FinEnum Empty :=
ofList [] fun x => Empty.elim x
#align fin_enum.empty FinEnum.empty
instance punit : FinEnum PUnit :=
ofList [PUnit.unit] fun x => by cases x; simp
#align fin_enum.punit FinEnum.punit
instance prod {β} [FinEnum α] [FinEnum β] : FinEnum (α × β) :=
ofList (toList α ×ˢ toList β) fun x => by cases x; simp
#align fin_enum.prod FinEnum.prod
instance sum {β} [FinEnum α] [FinEnum β] : FinEnum (Sum α β) :=
ofList ((toList α).map Sum.inl ++ (toList β).map Sum.inr) fun x => by cases x <;> simp
#align fin_enum.sum FinEnum.sum
instance fin {n} : FinEnum (Fin n) :=
ofList (List.finRange _) (by simp)
#align fin_enum.fin FinEnum.fin
instance Quotient.enum [FinEnum α] (s : Setoid α) [DecidableRel ((· ≈ ·) : α → α → Prop)] :
FinEnum (Quotient s) :=
FinEnum.ofSurjective Quotient.mk'' fun x => Quotient.inductionOn x fun x => ⟨x, rfl⟩
#align fin_enum.quotient.enum FinEnum.Quotient.enum
def Finset.enum [DecidableEq α] : List α → List (Finset α)
| [] => [∅]
| x :: xs => do
let r ← Finset.enum xs
[r, {x} ∪ r]
#align fin_enum.finset.enum FinEnum.Finset.enum
@[simp]
| Mathlib/Data/FinEnum.lean | 132 | 163 | theorem Finset.mem_enum [DecidableEq α] (s : Finset α) (xs : List α) :
s ∈ Finset.enum xs ↔ ∀ x ∈ s, x ∈ xs := by |
induction' xs with xs_hd generalizing s <;> simp [*, Finset.enum]
· simp [Finset.eq_empty_iff_forall_not_mem]
· constructor
· rintro ⟨a, h, h'⟩ x hx
cases' h' with _ h' a b
· right
apply h
subst a
exact hx
· simp only [h', mem_union, mem_singleton] at hx ⊢
cases' hx with hx hx'
· exact Or.inl hx
· exact Or.inr (h _ hx')
· intro h
exists s \ ({xs_hd} : Finset α)
simp only [and_imp, mem_sdiff, mem_singleton]
simp only [or_iff_not_imp_left] at h
exists h
by_cases h : xs_hd ∈ s
· have : {xs_hd} ⊆ s := by
simp only [HasSubset.Subset, *, forall_eq, mem_singleton]
simp only [union_sdiff_of_subset this, or_true_iff, Finset.union_sdiff_of_subset,
eq_self_iff_true]
· left
symm
simp only [sdiff_eq_self]
intro a
simp only [and_imp, mem_inter, mem_singleton]
rintro h₀ rfl
exact (h h₀).elim
| 30 |
import Mathlib.Analysis.Calculus.Deriv.Add
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.LocalExtr.Basic
#align_import analysis.calculus.darboux from "leanprover-community/mathlib"@"61b5e2755ccb464b68d05a9acf891ae04992d09d"
open Filter Set
open scoped Topology Classical
variable {a b : ℝ} {f f' : ℝ → ℝ}
| Mathlib/Analysis/Calculus/Darboux.lean | 28 | 60 | theorem exists_hasDerivWithinAt_eq_of_gt_of_lt (hab : a ≤ b)
(hf : ∀ x ∈ Icc a b, HasDerivWithinAt f (f' x) (Icc a b) x) {m : ℝ} (hma : f' a < m)
(hmb : m < f' b) : m ∈ f' '' Ioo a b := by |
rcases hab.eq_or_lt with (rfl | hab')
· exact (lt_asymm hma hmb).elim
set g : ℝ → ℝ := fun x => f x - m * x
have hg : ∀ x ∈ Icc a b, HasDerivWithinAt g (f' x - m) (Icc a b) x := by
intro x hx
simpa using (hf x hx).sub ((hasDerivWithinAt_id x _).const_mul m)
obtain ⟨c, cmem, hc⟩ : ∃ c ∈ Icc a b, IsMinOn g (Icc a b) c :=
isCompact_Icc.exists_isMinOn (nonempty_Icc.2 <| hab) fun x hx => (hg x hx).continuousWithinAt
have cmem' : c ∈ Ioo a b := by
rcases cmem.1.eq_or_lt with (rfl | hac)
-- Show that `c` can't be equal to `a`
· refine absurd (sub_nonneg.1 <| nonneg_of_mul_nonneg_right ?_ (sub_pos.2 hab'))
(not_le_of_lt hma)
have : b - a ∈ posTangentConeAt (Icc a b) a :=
mem_posTangentConeAt_of_segment_subset (segment_eq_Icc hab ▸ Subset.refl _)
simpa only [ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.one_apply]
using hc.localize.hasFDerivWithinAt_nonneg (hg a (left_mem_Icc.2 hab)) this
rcases cmem.2.eq_or_gt with (rfl | hcb)
-- Show that `c` can't be equal to `b`
· refine absurd (sub_nonpos.1 <| nonpos_of_mul_nonneg_right ?_ (sub_lt_zero.2 hab'))
(not_le_of_lt hmb)
have : a - b ∈ posTangentConeAt (Icc a b) b :=
mem_posTangentConeAt_of_segment_subset (by rw [segment_symm, segment_eq_Icc hab])
simpa only [ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.one_apply]
using hc.localize.hasFDerivWithinAt_nonneg (hg b (right_mem_Icc.2 hab)) this
exact ⟨hac, hcb⟩
use c, cmem'
rw [← sub_eq_zero]
have : Icc a b ∈ 𝓝 c := by rwa [← mem_interior_iff_mem_nhds, interior_Icc]
exact (hc.isLocalMin this).hasDerivAt_eq_zero ((hg c cmem).hasDerivAt this)
| 30 |
import Mathlib.Analysis.InnerProductSpace.Basic
import Mathlib.Analysis.NormedSpace.Dual
import Mathlib.MeasureTheory.Function.StronglyMeasurable.Lp
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.function.ae_eq_of_integral from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4"
open MeasureTheory TopologicalSpace NormedSpace Filter
open scoped ENNReal NNReal MeasureTheory Topology
namespace MeasureTheory
section AeEqOfForall
variable {α E 𝕜 : Type*} {m : MeasurableSpace α} {μ : Measure α} [RCLike 𝕜]
theorem ae_eq_zero_of_forall_inner [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
[SecondCountableTopology E] {f : α → E} (hf : ∀ c : E, (fun x => (inner c (f x) : 𝕜)) =ᵐ[μ] 0) :
f =ᵐ[μ] 0 := by
let s := denseSeq E
have hs : DenseRange s := denseRange_denseSeq E
have hf' : ∀ᵐ x ∂μ, ∀ n : ℕ, inner (s n) (f x) = (0 : 𝕜) := ae_all_iff.mpr fun n => hf (s n)
refine hf'.mono fun x hx => ?_
rw [Pi.zero_apply, ← @inner_self_eq_zero 𝕜]
have h_closed : IsClosed {c : E | inner c (f x) = (0 : 𝕜)} :=
isClosed_eq (continuous_id.inner continuous_const) continuous_const
exact @isClosed_property ℕ E _ s (fun c => inner c (f x) = (0 : 𝕜)) hs h_closed (fun n => hx n) _
#align measure_theory.ae_eq_zero_of_forall_inner MeasureTheory.ae_eq_zero_of_forall_inner
local notation "⟪" x ", " y "⟫" => y x
variable (𝕜)
| Mathlib/MeasureTheory/Function/AEEqOfIntegral.lean | 74 | 106 | theorem ae_eq_zero_of_forall_dual_of_isSeparable [NormedAddCommGroup E] [NormedSpace 𝕜 E]
{t : Set E} (ht : TopologicalSpace.IsSeparable t) {f : α → E}
(hf : ∀ c : Dual 𝕜 E, (fun x => ⟪f x, c⟫) =ᵐ[μ] 0) (h't : ∀ᵐ x ∂μ, f x ∈ t) : f =ᵐ[μ] 0 := by |
rcases ht with ⟨d, d_count, hd⟩
haveI : Encodable d := d_count.toEncodable
have : ∀ x : d, ∃ g : E →L[𝕜] 𝕜, ‖g‖ ≤ 1 ∧ g x = ‖(x : E)‖ :=
fun x => exists_dual_vector'' 𝕜 (x : E)
choose s hs using this
have A : ∀ a : E, a ∈ t → (∀ x, ⟪a, s x⟫ = (0 : 𝕜)) → a = 0 := by
intro a hat ha
contrapose! ha
have a_pos : 0 < ‖a‖ := by simp only [ha, norm_pos_iff, Ne, not_false_iff]
have a_mem : a ∈ closure d := hd hat
obtain ⟨x, hx⟩ : ∃ x : d, dist a x < ‖a‖ / 2 := by
rcases Metric.mem_closure_iff.1 a_mem (‖a‖ / 2) (half_pos a_pos) with ⟨x, h'x, hx⟩
exact ⟨⟨x, h'x⟩, hx⟩
use x
have I : ‖a‖ / 2 < ‖(x : E)‖ := by
have : ‖a‖ ≤ ‖(x : E)‖ + ‖a - x‖ := norm_le_insert' _ _
have : ‖a - x‖ < ‖a‖ / 2 := by rwa [dist_eq_norm] at hx
linarith
intro h
apply lt_irrefl ‖s x x‖
calc
‖s x x‖ = ‖s x (x - a)‖ := by simp only [h, sub_zero, ContinuousLinearMap.map_sub]
_ ≤ 1 * ‖(x : E) - a‖ := ContinuousLinearMap.le_of_opNorm_le _ (hs x).1 _
_ < ‖a‖ / 2 := by rw [one_mul]; rwa [dist_eq_norm'] at hx
_ < ‖(x : E)‖ := I
_ = ‖s x x‖ := by rw [(hs x).2, RCLike.norm_coe_norm]
have hfs : ∀ y : d, ∀ᵐ x ∂μ, ⟪f x, s y⟫ = (0 : 𝕜) := fun y => hf (s y)
have hf' : ∀ᵐ x ∂μ, ∀ y : d, ⟪f x, s y⟫ = (0 : 𝕜) := by rwa [ae_all_iff]
filter_upwards [hf', h't] with x hx h'x
exact A (f x) h'x hx
| 30 |
import Mathlib.Analysis.Analytic.Basic
import Mathlib.Analysis.Analytic.CPolynomial
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.ContDiff.Defs
import Mathlib.Analysis.Calculus.FDeriv.Add
#align_import analysis.calculus.fderiv_analytic from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
open Filter Asymptotics
open scoped ENNReal
universe u v
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type u} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
namespace ContinuousMultilinearMap
variable {ι : Type*} {E : ι → Type*} [∀ i, NormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)]
[Fintype ι] (f : ContinuousMultilinearMap 𝕜 E F)
open FormalMultilinearSeries
protected theorem hasFiniteFPowerSeriesOnBall :
HasFiniteFPowerSeriesOnBall f f.toFormalMultilinearSeries 0 (Fintype.card ι + 1) ⊤ :=
.mk' (fun m hm ↦ dif_neg (Nat.succ_le_iff.mp hm).ne) ENNReal.zero_lt_top fun y _ ↦ by
rw [Finset.sum_eq_single_of_mem _ (Finset.self_mem_range_succ _), zero_add]
· rw [toFormalMultilinearSeries, dif_pos rfl]; rfl
· intro m _ ne; rw [toFormalMultilinearSeries, dif_neg ne.symm]; rfl
theorem changeOriginSeries_support {k l : ℕ} (h : k + l ≠ Fintype.card ι) :
f.toFormalMultilinearSeries.changeOriginSeries k l = 0 :=
Finset.sum_eq_zero fun _ _ ↦ by
simp_rw [FormalMultilinearSeries.changeOriginSeriesTerm,
toFormalMultilinearSeries, dif_neg h.symm, LinearIsometryEquiv.map_zero]
variable {n : ℕ∞} (x : ∀ i, E i)
open Finset in
| Mathlib/Analysis/Calculus/FDeriv/Analytic.lean | 314 | 346 | theorem changeOrigin_toFormalMultilinearSeries [DecidableEq ι] :
continuousMultilinearCurryFin1 𝕜 (∀ i, E i) F (f.toFormalMultilinearSeries.changeOrigin x 1) =
f.linearDeriv x := by |
ext y
rw [continuousMultilinearCurryFin1_apply, linearDeriv_apply,
changeOrigin, FormalMultilinearSeries.sum]
cases isEmpty_or_nonempty ι
· have (l) : 1 + l ≠ Fintype.card ι := by
rw [add_comm, Fintype.card_eq_zero]; exact Nat.succ_ne_zero _
simp_rw [Fintype.sum_empty, changeOriginSeries_support _ (this _), zero_apply _, tsum_zero]; rfl
rw [tsum_eq_single (Fintype.card ι - 1), changeOriginSeries]; swap
· intro m hm
rw [Ne, eq_tsub_iff_add_eq_of_le (by exact Fintype.card_pos), add_comm] at hm
rw [f.changeOriginSeries_support hm, zero_apply]
rw [sum_apply, ContinuousMultilinearMap.sum_apply, Fin.snoc_zero]
simp_rw [changeOriginSeriesTerm_apply]
refine (Fintype.sum_bijective (?_ ∘ Fintype.equivFinOfCardEq (Nat.add_sub_of_le
Fintype.card_pos).symm) (.comp ?_ <| Equiv.bijective _) _ _ fun i ↦ ?_).symm
· exact (⟨{·}ᶜ, by
rw [card_compl, Fintype.card_fin, card_singleton, Nat.add_sub_cancel_left]⟩)
· use fun _ _ ↦ (singleton_injective <| compl_injective <| Subtype.ext_iff.mp ·)
intro ⟨s, hs⟩
have h : sᶜ.card = 1 := by rw [card_compl, hs, Fintype.card_fin, Nat.add_sub_cancel]
obtain ⟨a, ha⟩ := card_eq_one.mp h
exact ⟨a, Subtype.ext (compl_eq_comm.mp ha)⟩
rw [Function.comp_apply, Subtype.coe_mk, compl_singleton, piecewise_erase_univ,
toFormalMultilinearSeries, dif_pos (Nat.add_sub_of_le Fintype.card_pos).symm]
simp_rw [domDomCongr_apply, compContinuousLinearMap_apply, ContinuousLinearMap.proj_apply,
Function.update_apply, (Equiv.injective _).eq_iff, ite_apply]
congr; ext j
obtain rfl | hj := eq_or_ne j i
· rw [Function.update_same, if_pos rfl]
· rw [Function.update_noteq hj, if_neg hj]
| 30 |
import Mathlib.Computability.PartrecCode
import Mathlib.Data.Set.Subsingleton
#align_import computability.halting from "leanprover-community/mathlib"@"a50170a88a47570ed186b809ca754110590f9476"
open Encodable Denumerable
namespace Nat.Partrec
open Computable Part
| Mathlib/Computability/Halting.lean | 28 | 60 | theorem merge' {f g} (hf : Nat.Partrec f) (hg : Nat.Partrec g) :
∃ h, Nat.Partrec h ∧
∀ a, (∀ x ∈ h a, x ∈ f a ∨ x ∈ g a) ∧ ((h a).Dom ↔ (f a).Dom ∨ (g a).Dom) := by |
obtain ⟨cf, rfl⟩ := Code.exists_code.1 hf
obtain ⟨cg, rfl⟩ := Code.exists_code.1 hg
have : Nat.Partrec fun n => Nat.rfindOpt fun k => cf.evaln k n <|> cg.evaln k n :=
Partrec.nat_iff.1
(Partrec.rfindOpt <|
Primrec.option_orElse.to_comp.comp
(Code.evaln_prim.to_comp.comp <| (snd.pair (const cf)).pair fst)
(Code.evaln_prim.to_comp.comp <| (snd.pair (const cg)).pair fst))
refine ⟨_, this, fun n => ?_⟩
have : ∀ x ∈ rfindOpt fun k ↦ HOrElse.hOrElse (Code.evaln k cf n) fun _x ↦ Code.evaln k cg n,
x ∈ Code.eval cf n ∨ x ∈ Code.eval cg n := by
intro x h
obtain ⟨k, e⟩ := Nat.rfindOpt_spec h
revert e
simp only [Option.mem_def]
cases' e' : cf.evaln k n with y <;> simp <;> intro e
· exact Or.inr (Code.evaln_sound e)
· subst y
exact Or.inl (Code.evaln_sound e')
refine ⟨this, ⟨fun h => (this _ ⟨h, rfl⟩).imp Exists.fst Exists.fst, ?_⟩⟩
intro h
rw [Nat.rfindOpt_dom]
simp only [dom_iff_mem, Code.evaln_complete, Option.mem_def] at h
obtain ⟨x, k, e⟩ | ⟨x, k, e⟩ := h
· refine ⟨k, x, ?_⟩
simp only [e, Option.some_orElse, Option.mem_def]
· refine ⟨k, ?_⟩
cases' cf.evaln k n with y
· exact ⟨x, by simp only [e, Option.mem_def, Option.none_orElse]⟩
· exact ⟨y, by simp only [Option.some_orElse, Option.mem_def]⟩
| 30 |
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