Context stringlengths 57 85k | file_name stringlengths 21 79 | start int64 14 2.42k | end int64 18 2.43k | theorem stringlengths 25 2.71k | proof stringlengths 5 10.6k |
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import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.LinearAlgebra.Matrix.Block
#align_import analysis.inner_product_space.gram_schmidt_ortho from "leanprover-community/mathlib"@"1a4df69ca1a9a0e5e26bfe12e2b92814216016d0"
open Finset Submodule FiniteDimensional
variable (𝕜 : Type*) {E : Type*} [RCLike 𝕜] [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
variable {ι : Type*} [LinearOrder ι] [LocallyFiniteOrderBot ι] [IsWellOrder ι (· < ·)]
attribute [local instance] IsWellOrder.toHasWellFounded
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
noncomputable def gramSchmidt [IsWellOrder ι (· < ·)] (f : ι → E) (n : ι) : E :=
f n - ∑ i : Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt f i) (f n)
termination_by n
decreasing_by exact mem_Iio.1 i.2
#align gram_schmidt gramSchmidt
theorem gramSchmidt_def (f : ι → E) (n : ι) :
gramSchmidt 𝕜 f n = f n - ∑ i ∈ Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt 𝕜 f i) (f n) := by
rw [← sum_attach, attach_eq_univ, gramSchmidt]
#align gram_schmidt_def gramSchmidt_def
theorem gramSchmidt_def' (f : ι → E) (n : ι) :
f n = gramSchmidt 𝕜 f n + ∑ i ∈ Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt 𝕜 f i) (f n) := by
rw [gramSchmidt_def, sub_add_cancel]
#align gram_schmidt_def' gramSchmidt_def'
theorem gramSchmidt_def'' (f : ι → E) (n : ι) :
f n = gramSchmidt 𝕜 f n + ∑ i ∈ Iio n,
(⟪gramSchmidt 𝕜 f i, f n⟫ / (‖gramSchmidt 𝕜 f i‖ : 𝕜) ^ 2) • gramSchmidt 𝕜 f i := by
convert gramSchmidt_def' 𝕜 f n
rw [orthogonalProjection_singleton, RCLike.ofReal_pow]
#align gram_schmidt_def'' gramSchmidt_def''
@[simp]
theorem gramSchmidt_zero {ι : Type*} [LinearOrder ι] [LocallyFiniteOrder ι] [OrderBot ι]
[IsWellOrder ι (· < ·)] (f : ι → E) : gramSchmidt 𝕜 f ⊥ = f ⊥ := by
rw [gramSchmidt_def, Iio_eq_Ico, Finset.Ico_self, Finset.sum_empty, sub_zero]
#align gram_schmidt_zero gramSchmidt_zero
theorem gramSchmidt_orthogonal (f : ι → E) {a b : ι} (h₀ : a ≠ b) :
⟪gramSchmidt 𝕜 f a, gramSchmidt 𝕜 f b⟫ = 0 := by
suffices ∀ a b : ι, a < b → ⟪gramSchmidt 𝕜 f a, gramSchmidt 𝕜 f b⟫ = 0 by
cases' h₀.lt_or_lt with ha hb
· exact this _ _ ha
· rw [inner_eq_zero_symm]
exact this _ _ hb
clear h₀ a b
intro a b h₀
revert a
apply wellFounded_lt.induction b
intro b ih a h₀
simp only [gramSchmidt_def 𝕜 f b, inner_sub_right, inner_sum, orthogonalProjection_singleton,
inner_smul_right]
rw [Finset.sum_eq_single_of_mem a (Finset.mem_Iio.mpr h₀)]
· by_cases h : gramSchmidt 𝕜 f a = 0
· simp only [h, inner_zero_left, zero_div, zero_mul, sub_zero]
· rw [RCLike.ofReal_pow, ← inner_self_eq_norm_sq_to_K, div_mul_cancel₀, sub_self]
rwa [inner_self_ne_zero]
intro i hi hia
simp only [mul_eq_zero, div_eq_zero_iff, inner_self_eq_zero]
right
cases' hia.lt_or_lt with hia₁ hia₂
· rw [inner_eq_zero_symm]
exact ih a h₀ i hia₁
· exact ih i (mem_Iio.1 hi) a hia₂
#align gram_schmidt_orthogonal gramSchmidt_orthogonal
theorem gramSchmidt_pairwise_orthogonal (f : ι → E) :
Pairwise fun a b => ⟪gramSchmidt 𝕜 f a, gramSchmidt 𝕜 f b⟫ = 0 := fun _ _ =>
gramSchmidt_orthogonal 𝕜 f
#align gram_schmidt_pairwise_orthogonal gramSchmidt_pairwise_orthogonal
theorem gramSchmidt_inv_triangular (v : ι → E) {i j : ι} (hij : i < j) :
⟪gramSchmidt 𝕜 v j, v i⟫ = 0 := by
rw [gramSchmidt_def'' 𝕜 v]
simp only [inner_add_right, inner_sum, inner_smul_right]
set b : ι → E := gramSchmidt 𝕜 v
convert zero_add (0 : 𝕜)
· exact gramSchmidt_orthogonal 𝕜 v hij.ne'
apply Finset.sum_eq_zero
rintro k hki'
have hki : k < i := by simpa using hki'
have : ⟪b j, b k⟫ = 0 := gramSchmidt_orthogonal 𝕜 v (hki.trans hij).ne'
simp [this]
#align gram_schmidt_inv_triangular gramSchmidt_inv_triangular
open Submodule Set Order
theorem mem_span_gramSchmidt (f : ι → E) {i j : ι} (hij : i ≤ j) :
f i ∈ span 𝕜 (gramSchmidt 𝕜 f '' Set.Iic j) := by
rw [gramSchmidt_def' 𝕜 f i]
simp_rw [orthogonalProjection_singleton]
exact Submodule.add_mem _ (subset_span <| mem_image_of_mem _ hij)
(Submodule.sum_mem _ fun k hk => smul_mem (span 𝕜 (gramSchmidt 𝕜 f '' Set.Iic j)) _ <|
subset_span <| mem_image_of_mem (gramSchmidt 𝕜 f) <| (Finset.mem_Iio.1 hk).le.trans hij)
#align mem_span_gram_schmidt mem_span_gramSchmidt
theorem gramSchmidt_mem_span (f : ι → E) :
∀ {j i}, i ≤ j → gramSchmidt 𝕜 f i ∈ span 𝕜 (f '' Set.Iic j) := by
intro j i hij
rw [gramSchmidt_def 𝕜 f i]
simp_rw [orthogonalProjection_singleton]
refine Submodule.sub_mem _ (subset_span (mem_image_of_mem _ hij))
(Submodule.sum_mem _ fun k hk => ?_)
let hkj : k < j := (Finset.mem_Iio.1 hk).trans_le hij
exact smul_mem _ _
(span_mono (image_subset f <| Iic_subset_Iic.2 hkj.le) <| gramSchmidt_mem_span _ le_rfl)
termination_by j => j
#align gram_schmidt_mem_span gramSchmidt_mem_span
theorem span_gramSchmidt_Iic (f : ι → E) (c : ι) :
span 𝕜 (gramSchmidt 𝕜 f '' Set.Iic c) = span 𝕜 (f '' Set.Iic c) :=
span_eq_span (Set.image_subset_iff.2 fun _ => gramSchmidt_mem_span _ _) <|
Set.image_subset_iff.2 fun _ => mem_span_gramSchmidt _ _
#align span_gram_schmidt_Iic span_gramSchmidt_Iic
theorem span_gramSchmidt_Iio (f : ι → E) (c : ι) :
span 𝕜 (gramSchmidt 𝕜 f '' Set.Iio c) = span 𝕜 (f '' Set.Iio c) :=
span_eq_span (Set.image_subset_iff.2 fun _ hi =>
span_mono (image_subset _ <| Iic_subset_Iio.2 hi) <| gramSchmidt_mem_span _ _ le_rfl) <|
Set.image_subset_iff.2 fun _ hi =>
span_mono (image_subset _ <| Iic_subset_Iio.2 hi) <| mem_span_gramSchmidt _ _ le_rfl
#align span_gram_schmidt_Iio span_gramSchmidt_Iio
theorem span_gramSchmidt (f : ι → E) : span 𝕜 (range (gramSchmidt 𝕜 f)) = span 𝕜 (range f) :=
span_eq_span (range_subset_iff.2 fun _ =>
span_mono (image_subset_range _ _) <| gramSchmidt_mem_span _ _ le_rfl) <|
range_subset_iff.2 fun _ =>
span_mono (image_subset_range _ _) <| mem_span_gramSchmidt _ _ le_rfl
#align span_gram_schmidt span_gramSchmidt
theorem gramSchmidt_of_orthogonal {f : ι → E} (hf : Pairwise fun i j => ⟪f i, f j⟫ = 0) :
gramSchmidt 𝕜 f = f := by
ext i
rw [gramSchmidt_def]
trans f i - 0
· congr
apply Finset.sum_eq_zero
intro j hj
rw [Submodule.coe_eq_zero]
suffices span 𝕜 (f '' Set.Iic j) ⟂ 𝕜 ∙ f i by
apply orthogonalProjection_mem_subspace_orthogonalComplement_eq_zero
rw [mem_orthogonal_singleton_iff_inner_left]
rw [← mem_orthogonal_singleton_iff_inner_right]
exact this (gramSchmidt_mem_span 𝕜 f (le_refl j))
rw [isOrtho_span]
rintro u ⟨k, hk, rfl⟩ v (rfl : v = f i)
apply hf
exact (lt_of_le_of_lt hk (Finset.mem_Iio.mp hj)).ne
· simp
#align gram_schmidt_of_orthogonal gramSchmidt_of_orthogonal
variable {𝕜}
theorem gramSchmidt_ne_zero_coe {f : ι → E} (n : ι)
(h₀ : LinearIndependent 𝕜 (f ∘ ((↑) : Set.Iic n → ι))) : gramSchmidt 𝕜 f n ≠ 0 := by
by_contra h
have h₁ : f n ∈ span 𝕜 (f '' Set.Iio n) := by
rw [← span_gramSchmidt_Iio 𝕜 f n, gramSchmidt_def' 𝕜 f, h, zero_add]
apply Submodule.sum_mem _ _
intro a ha
simp only [Set.mem_image, Set.mem_Iio, orthogonalProjection_singleton]
apply Submodule.smul_mem _ _ _
rw [Finset.mem_Iio] at ha
exact subset_span ⟨a, ha, by rfl⟩
have h₂ : (f ∘ ((↑) : Set.Iic n → ι)) ⟨n, le_refl n⟩ ∈
span 𝕜 (f ∘ ((↑) : Set.Iic n → ι) '' Set.Iio ⟨n, le_refl n⟩) := by
rw [image_comp]
simpa using h₁
apply LinearIndependent.not_mem_span_image h₀ _ h₂
simp only [Set.mem_Iio, lt_self_iff_false, not_false_iff]
#align gram_schmidt_ne_zero_coe gramSchmidt_ne_zero_coe
theorem gramSchmidt_ne_zero {f : ι → E} (n : ι) (h₀ : LinearIndependent 𝕜 f) :
gramSchmidt 𝕜 f n ≠ 0 :=
gramSchmidt_ne_zero_coe _ (LinearIndependent.comp h₀ _ Subtype.coe_injective)
#align gram_schmidt_ne_zero gramSchmidt_ne_zero
theorem gramSchmidt_triangular {i j : ι} (hij : i < j) (b : Basis ι 𝕜 E) :
b.repr (gramSchmidt 𝕜 b i) j = 0 := by
have : gramSchmidt 𝕜 b i ∈ span 𝕜 (gramSchmidt 𝕜 b '' Set.Iio j) :=
subset_span ((Set.mem_image _ _ _).2 ⟨i, hij, rfl⟩)
have : gramSchmidt 𝕜 b i ∈ span 𝕜 (b '' Set.Iio j) := by rwa [← span_gramSchmidt_Iio 𝕜 b j]
have : ↑(b.repr (gramSchmidt 𝕜 b i)).support ⊆ Set.Iio j :=
Basis.repr_support_subset_of_mem_span b (Set.Iio j) this
exact (Finsupp.mem_supported' _ _).1 ((Finsupp.mem_supported 𝕜 _).2 this) j Set.not_mem_Iio_self
#align gram_schmidt_triangular gramSchmidt_triangular
theorem gramSchmidt_linearIndependent {f : ι → E} (h₀ : LinearIndependent 𝕜 f) :
LinearIndependent 𝕜 (gramSchmidt 𝕜 f) :=
linearIndependent_of_ne_zero_of_inner_eq_zero (fun _ => gramSchmidt_ne_zero _ h₀) fun _ _ =>
gramSchmidt_orthogonal 𝕜 f
#align gram_schmidt_linear_independent gramSchmidt_linearIndependent
noncomputable def gramSchmidtBasis (b : Basis ι 𝕜 E) : Basis ι 𝕜 E :=
Basis.mk (gramSchmidt_linearIndependent b.linearIndependent)
((span_gramSchmidt 𝕜 b).trans b.span_eq).ge
#align gram_schmidt_basis gramSchmidtBasis
theorem coe_gramSchmidtBasis (b : Basis ι 𝕜 E) : (gramSchmidtBasis b : ι → E) = gramSchmidt 𝕜 b :=
Basis.coe_mk _ _
#align coe_gram_schmidt_basis coe_gramSchmidtBasis
variable (𝕜)
noncomputable def gramSchmidtNormed (f : ι → E) (n : ι) : E :=
(‖gramSchmidt 𝕜 f n‖ : 𝕜)⁻¹ • gramSchmidt 𝕜 f n
#align gram_schmidt_normed gramSchmidtNormed
variable {𝕜}
| Mathlib/Analysis/InnerProductSpace/GramSchmidtOrtho.lean | 264 | 267 | theorem gramSchmidtNormed_unit_length_coe {f : ι → E} (n : ι)
(h₀ : LinearIndependent 𝕜 (f ∘ ((↑) : Set.Iic n → ι))) : ‖gramSchmidtNormed 𝕜 f n‖ = 1 := by |
simp only [gramSchmidt_ne_zero_coe n h₀, gramSchmidtNormed, norm_smul_inv_norm, Ne,
not_false_iff]
|
import Mathlib.Topology.Sets.Opens
#align_import topology.local_at_target from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open TopologicalSpace Set Filter
open Topology Filter
variable {α β : Type*} [TopologicalSpace α] [TopologicalSpace β] {f : α → β}
variable {s : Set β} {ι : Type*} {U : ι → Opens β} (hU : iSup U = ⊤)
theorem Set.restrictPreimage_inducing (s : Set β) (h : Inducing f) :
Inducing (s.restrictPreimage f) := by
simp_rw [← inducing_subtype_val.of_comp_iff, inducing_iff_nhds, restrictPreimage,
MapsTo.coe_restrict, restrict_eq, ← @Filter.comap_comap _ _ _ _ _ f, Function.comp_apply] at h ⊢
intro a
rw [← h, ← inducing_subtype_val.nhds_eq_comap]
#align set.restrict_preimage_inducing Set.restrictPreimage_inducing
alias Inducing.restrictPreimage := Set.restrictPreimage_inducing
#align inducing.restrict_preimage Inducing.restrictPreimage
theorem Set.restrictPreimage_embedding (s : Set β) (h : Embedding f) :
Embedding (s.restrictPreimage f) :=
⟨h.1.restrictPreimage s, h.2.restrictPreimage s⟩
#align set.restrict_preimage_embedding Set.restrictPreimage_embedding
alias Embedding.restrictPreimage := Set.restrictPreimage_embedding
#align embedding.restrict_preimage Embedding.restrictPreimage
theorem Set.restrictPreimage_openEmbedding (s : Set β) (h : OpenEmbedding f) :
OpenEmbedding (s.restrictPreimage f) :=
⟨h.1.restrictPreimage s,
(s.range_restrictPreimage f).symm ▸ continuous_subtype_val.isOpen_preimage _ h.isOpen_range⟩
#align set.restrict_preimage_open_embedding Set.restrictPreimage_openEmbedding
alias OpenEmbedding.restrictPreimage := Set.restrictPreimage_openEmbedding
#align open_embedding.restrict_preimage OpenEmbedding.restrictPreimage
theorem Set.restrictPreimage_closedEmbedding (s : Set β) (h : ClosedEmbedding f) :
ClosedEmbedding (s.restrictPreimage f) :=
⟨h.1.restrictPreimage s,
(s.range_restrictPreimage f).symm ▸ inducing_subtype_val.isClosed_preimage _ h.isClosed_range⟩
#align set.restrict_preimage_closed_embedding Set.restrictPreimage_closedEmbedding
alias ClosedEmbedding.restrictPreimage := Set.restrictPreimage_closedEmbedding
#align closed_embedding.restrict_preimage ClosedEmbedding.restrictPreimage
theorem IsClosedMap.restrictPreimage (H : IsClosedMap f) (s : Set β) :
IsClosedMap (s.restrictPreimage f) := by
intro t
suffices ∀ u, IsClosed u → Subtype.val ⁻¹' u = t →
∃ v, IsClosed v ∧ Subtype.val ⁻¹' v = s.restrictPreimage f '' t by
simpa [isClosed_induced_iff]
exact fun u hu e => ⟨f '' u, H u hu, by simp [← e, image_restrictPreimage]⟩
@[deprecated (since := "2024-04-02")]
theorem Set.restrictPreimage_isClosedMap (s : Set β) (H : IsClosedMap f) :
IsClosedMap (s.restrictPreimage f) := H.restrictPreimage s
| Mathlib/Topology/LocalAtTarget.lean | 78 | 84 | theorem IsOpenMap.restrictPreimage (H : IsOpenMap f) (s : Set β) :
IsOpenMap (s.restrictPreimage f) := by |
intro t
suffices ∀ u, IsOpen u → Subtype.val ⁻¹' u = t →
∃ v, IsOpen v ∧ Subtype.val ⁻¹' v = s.restrictPreimage f '' t by
simpa [isOpen_induced_iff]
exact fun u hu e => ⟨f '' u, H u hu, by simp [← e, image_restrictPreimage]⟩
|
import Mathlib.Data.Real.Irrational
import Mathlib.Data.Rat.Encodable
import Mathlib.Topology.GDelta
#align_import topology.instances.irrational from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Set Filter Metric
open Filter Topology
protected theorem IsGδ.setOf_irrational : IsGδ { x | Irrational x } :=
(countable_range _).isGδ_compl
set_option linter.uppercaseLean3 false in
#align is_Gδ_irrational IsGδ.setOf_irrational
@[deprecated (since := "2024-02-15")] alias isGδ_irrational := IsGδ.setOf_irrational
theorem dense_irrational : Dense { x : ℝ | Irrational x } := by
refine Real.isTopologicalBasis_Ioo_rat.dense_iff.2 ?_
simp only [gt_iff_lt, Rat.cast_lt, not_lt, ge_iff_le, Rat.cast_le, mem_iUnion, mem_singleton_iff,
exists_prop, forall_exists_index, and_imp]
rintro _ a b hlt rfl _
rw [inter_comm]
exact exists_irrational_btwn (Rat.cast_lt.2 hlt)
#align dense_irrational dense_irrational
theorem eventually_residual_irrational : ∀ᶠ x in residual ℝ, Irrational x :=
residual_of_dense_Gδ .setOf_irrational dense_irrational
#align eventually_residual_irrational eventually_residual_irrational
namespace Irrational
variable {x : ℝ}
instance : OrderTopology { x // Irrational x } :=
induced_orderTopology _ Iff.rfl <| @fun _ _ hlt =>
let ⟨z, hz, hxz, hzy⟩ := exists_irrational_btwn hlt
⟨⟨z, hz⟩, hxz, hzy⟩
instance : NoMaxOrder { x // Irrational x } :=
⟨fun ⟨x, hx⟩ => ⟨⟨x + (1 : ℕ), hx.add_nat 1⟩, by simp⟩⟩
instance : NoMinOrder { x // Irrational x } :=
⟨fun ⟨x, hx⟩ => ⟨⟨x - (1 : ℕ), hx.sub_nat 1⟩, by simp⟩⟩
instance : DenselyOrdered { x // Irrational x } :=
⟨fun _ _ hlt =>
let ⟨z, hz, hxz, hzy⟩ := exists_irrational_btwn hlt
⟨⟨z, hz⟩, hxz, hzy⟩⟩
| Mathlib/Topology/Instances/Irrational.lean | 78 | 89 | theorem eventually_forall_le_dist_cast_div (hx : Irrational x) (n : ℕ) :
∀ᶠ ε : ℝ in 𝓝 0, ∀ m : ℤ, ε ≤ dist x (m / n) := by |
have A : IsClosed (range (fun m => (n : ℝ)⁻¹ * m : ℤ → ℝ)) :=
((isClosedMap_smul₀ (n⁻¹ : ℝ)).comp Int.closedEmbedding_coe_real.isClosedMap).isClosed_range
have B : x ∉ range (fun m => (n : ℝ)⁻¹ * m : ℤ → ℝ) := by
rintro ⟨m, rfl⟩
simp at hx
rcases Metric.mem_nhds_iff.1 (A.isOpen_compl.mem_nhds B) with ⟨ε, ε0, hε⟩
refine (ge_mem_nhds ε0).mono fun δ hδ m => not_lt.1 fun hlt => ?_
rw [dist_comm] at hlt
refine hε (ball_subset_ball hδ hlt) ⟨m, ?_⟩
simp [div_eq_inv_mul]
|
import Mathlib.Analysis.Analytic.Linear
import Mathlib.Analysis.Analytic.Composition
import Mathlib.Analysis.NormedSpace.Completion
#align_import analysis.analytic.uniqueness from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090"
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
open Set
open scoped Topology ENNReal
namespace AnalyticOn
| Mathlib/Analysis/Analytic/Uniqueness.lean | 32 | 70 | theorem eqOn_zero_of_preconnected_of_eventuallyEq_zero_aux [CompleteSpace F] {f : E → F} {U : Set E}
(hf : AnalyticOn 𝕜 f U) (hU : IsPreconnected U) {z₀ : E} (h₀ : z₀ ∈ U) (hfz₀ : f =ᶠ[𝓝 z₀] 0) :
EqOn f 0 U := by |
/- Let `u` be the set of points around which `f` vanishes. It is clearly open. We have to show
that its limit points in `U` still belong to it, from which the inclusion `U ⊆ u` will follow
by connectedness. -/
let u := {x | f =ᶠ[𝓝 x] 0}
suffices main : closure u ∩ U ⊆ u by
have Uu : U ⊆ u :=
hU.subset_of_closure_inter_subset isOpen_setOf_eventually_nhds ⟨z₀, h₀, hfz₀⟩ main
intro z hz
simpa using mem_of_mem_nhds (Uu hz)
/- Take a limit point `x`, then a ball `B (x, r)` on which it has a power series expansion, and
then `y ∈ B (x, r/2) ∩ u`. Then `f` has a power series expansion on `B (y, r/2)` as it is
contained in `B (x, r)`. All the coefficients in this series expansion vanish, as `f` is zero
on a neighborhood of `y`. Therefore, `f` is zero on `B (y, r/2)`. As this ball contains `x`,
it follows that `f` vanishes on a neighborhood of `x`, proving the claim. -/
rintro x ⟨xu, xU⟩
rcases hf x xU with ⟨p, r, hp⟩
obtain ⟨y, yu, hxy⟩ : ∃ y ∈ u, edist x y < r / 2 :=
EMetric.mem_closure_iff.1 xu (r / 2) (ENNReal.half_pos hp.r_pos.ne')
let q := p.changeOrigin (y - x)
have has_series : HasFPowerSeriesOnBall f q y (r / 2) := by
have A : (‖y - x‖₊ : ℝ≥0∞) < r / 2 := by rwa [edist_comm, edist_eq_coe_nnnorm_sub] at hxy
have := hp.changeOrigin (A.trans_le ENNReal.half_le_self)
simp only [add_sub_cancel] at this
apply this.mono (ENNReal.half_pos hp.r_pos.ne')
apply ENNReal.le_sub_of_add_le_left ENNReal.coe_ne_top
apply (add_le_add A.le (le_refl (r / 2))).trans (le_of_eq _)
exact ENNReal.add_halves _
have M : EMetric.ball y (r / 2) ∈ 𝓝 x := EMetric.isOpen_ball.mem_nhds hxy
filter_upwards [M] with z hz
have A : HasSum (fun n : ℕ => q n fun _ : Fin n => z - y) (f z) := has_series.hasSum_sub hz
have B : HasSum (fun n : ℕ => q n fun _ : Fin n => z - y) 0 := by
have : HasFPowerSeriesAt 0 q y := has_series.hasFPowerSeriesAt.congr yu
convert hasSum_zero (α := F) using 2
ext n
exact this.apply_eq_zero n _
exact HasSum.unique A B
|
import Mathlib.Data.Multiset.Dedup
#align_import data.multiset.finset_ops from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0"
namespace Multiset
open List
variable {α : Type*} [DecidableEq α] {s : Multiset α}
def ndinsert (a : α) (s : Multiset α) : Multiset α :=
Quot.liftOn s (fun l => (l.insert a : Multiset α)) fun _ _ p => Quot.sound (p.insert a)
#align multiset.ndinsert Multiset.ndinsert
@[simp]
theorem coe_ndinsert (a : α) (l : List α) : ndinsert a l = (insert a l : List α) :=
rfl
#align multiset.coe_ndinsert Multiset.coe_ndinsert
@[simp, nolint simpNF] -- Porting note (#10675): dsimp can not prove this
theorem ndinsert_zero (a : α) : ndinsert a 0 = {a} :=
rfl
#align multiset.ndinsert_zero Multiset.ndinsert_zero
@[simp]
theorem ndinsert_of_mem {a : α} {s : Multiset α} : a ∈ s → ndinsert a s = s :=
Quot.inductionOn s fun _ h => congr_arg ((↑) : List α → Multiset α) <| insert_of_mem h
#align multiset.ndinsert_of_mem Multiset.ndinsert_of_mem
@[simp]
theorem ndinsert_of_not_mem {a : α} {s : Multiset α} : a ∉ s → ndinsert a s = a ::ₘ s :=
Quot.inductionOn s fun _ h => congr_arg ((↑) : List α → Multiset α) <| insert_of_not_mem h
#align multiset.ndinsert_of_not_mem Multiset.ndinsert_of_not_mem
@[simp]
theorem mem_ndinsert {a b : α} {s : Multiset α} : a ∈ ndinsert b s ↔ a = b ∨ a ∈ s :=
Quot.inductionOn s fun _ => mem_insert_iff
#align multiset.mem_ndinsert Multiset.mem_ndinsert
@[simp]
theorem le_ndinsert_self (a : α) (s : Multiset α) : s ≤ ndinsert a s :=
Quot.inductionOn s fun _ => (sublist_insert _ _).subperm
#align multiset.le_ndinsert_self Multiset.le_ndinsert_self
-- Porting note: removing @[simp], simp can prove it
theorem mem_ndinsert_self (a : α) (s : Multiset α) : a ∈ ndinsert a s :=
mem_ndinsert.2 (Or.inl rfl)
#align multiset.mem_ndinsert_self Multiset.mem_ndinsert_self
theorem mem_ndinsert_of_mem {a b : α} {s : Multiset α} (h : a ∈ s) : a ∈ ndinsert b s :=
mem_ndinsert.2 (Or.inr h)
#align multiset.mem_ndinsert_of_mem Multiset.mem_ndinsert_of_mem
@[simp]
theorem length_ndinsert_of_mem {a : α} {s : Multiset α} (h : a ∈ s) :
card (ndinsert a s) = card s := by simp [h]
#align multiset.length_ndinsert_of_mem Multiset.length_ndinsert_of_mem
@[simp]
theorem length_ndinsert_of_not_mem {a : α} {s : Multiset α} (h : a ∉ s) :
card (ndinsert a s) = card s + 1 := by simp [h]
#align multiset.length_ndinsert_of_not_mem Multiset.length_ndinsert_of_not_mem
theorem dedup_cons {a : α} {s : Multiset α} : dedup (a ::ₘ s) = ndinsert a (dedup s) := by
by_cases h : a ∈ s <;> simp [h]
#align multiset.dedup_cons Multiset.dedup_cons
theorem Nodup.ndinsert (a : α) : Nodup s → Nodup (ndinsert a s) :=
Quot.inductionOn s fun _ => Nodup.insert
#align multiset.nodup.ndinsert Multiset.Nodup.ndinsert
theorem ndinsert_le {a : α} {s t : Multiset α} : ndinsert a s ≤ t ↔ s ≤ t ∧ a ∈ t :=
⟨fun h => ⟨le_trans (le_ndinsert_self _ _) h, mem_of_le h (mem_ndinsert_self _ _)⟩, fun ⟨l, m⟩ =>
if h : a ∈ s then by simp [h, l]
else by
rw [ndinsert_of_not_mem h, ← cons_erase m, cons_le_cons_iff, ← le_cons_of_not_mem h,
cons_erase m];
exact l⟩
#align multiset.ndinsert_le Multiset.ndinsert_le
theorem attach_ndinsert (a : α) (s : Multiset α) :
(s.ndinsert a).attach =
ndinsert ⟨a, mem_ndinsert_self a s⟩ (s.attach.map fun p => ⟨p.1, mem_ndinsert_of_mem p.2⟩) :=
have eq :
∀ h : ∀ p : { x // x ∈ s }, p.1 ∈ s,
(fun p : { x // x ∈ s } => ⟨p.val, h p⟩ : { x // x ∈ s } → { x // x ∈ s }) = id :=
fun h => funext fun p => Subtype.eq rfl
have : ∀ (t) (eq : s.ndinsert a = t), t.attach = ndinsert ⟨a, eq ▸ mem_ndinsert_self a s⟩
(s.attach.map fun p => ⟨p.1, eq ▸ mem_ndinsert_of_mem p.2⟩) := by
intro t ht
by_cases h : a ∈ s
· rw [ndinsert_of_mem h] at ht
subst ht
rw [eq, map_id, ndinsert_of_mem (mem_attach _ _)]
· rw [ndinsert_of_not_mem h] at ht
subst ht
simp [attach_cons, h]
this _ rfl
#align multiset.attach_ndinsert Multiset.attach_ndinsert
@[simp]
theorem disjoint_ndinsert_left {a : α} {s t : Multiset α} :
Disjoint (ndinsert a s) t ↔ a ∉ t ∧ Disjoint s t :=
Iff.trans (by simp [Disjoint]) disjoint_cons_left
#align multiset.disjoint_ndinsert_left Multiset.disjoint_ndinsert_left
@[simp]
theorem disjoint_ndinsert_right {a : α} {s t : Multiset α} :
Disjoint s (ndinsert a t) ↔ a ∉ s ∧ Disjoint s t := by
rw [disjoint_comm, disjoint_ndinsert_left]; tauto
#align multiset.disjoint_ndinsert_right Multiset.disjoint_ndinsert_right
def ndunion (s t : Multiset α) : Multiset α :=
(Quotient.liftOn₂ s t fun l₁ l₂ => (l₁.union l₂ : Multiset α)) fun _ _ _ _ p₁ p₂ =>
Quot.sound <| p₁.union p₂
#align multiset.ndunion Multiset.ndunion
@[simp]
theorem coe_ndunion (l₁ l₂ : List α) : @ndunion α _ l₁ l₂ = (l₁ ∪ l₂ : List α) :=
rfl
#align multiset.coe_ndunion Multiset.coe_ndunion
-- Porting note: removing @[simp], simp can prove it
theorem zero_ndunion (s : Multiset α) : ndunion 0 s = s :=
Quot.inductionOn s fun _ => rfl
#align multiset.zero_ndunion Multiset.zero_ndunion
@[simp]
theorem cons_ndunion (s t : Multiset α) (a : α) : ndunion (a ::ₘ s) t = ndinsert a (ndunion s t) :=
Quot.induction_on₂ s t fun _ _ => rfl
#align multiset.cons_ndunion Multiset.cons_ndunion
@[simp]
theorem mem_ndunion {s t : Multiset α} {a : α} : a ∈ ndunion s t ↔ a ∈ s ∨ a ∈ t :=
Quot.induction_on₂ s t fun _ _ => List.mem_union_iff
#align multiset.mem_ndunion Multiset.mem_ndunion
theorem le_ndunion_right (s t : Multiset α) : t ≤ ndunion s t :=
Quot.induction_on₂ s t fun _ _ => (suffix_union_right _ _).sublist.subperm
#align multiset.le_ndunion_right Multiset.le_ndunion_right
theorem subset_ndunion_right (s t : Multiset α) : t ⊆ ndunion s t :=
subset_of_le (le_ndunion_right s t)
#align multiset.subset_ndunion_right Multiset.subset_ndunion_right
theorem ndunion_le_add (s t : Multiset α) : ndunion s t ≤ s + t :=
Quot.induction_on₂ s t fun _ _ => (union_sublist_append _ _).subperm
#align multiset.ndunion_le_add Multiset.ndunion_le_add
theorem ndunion_le {s t u : Multiset α} : ndunion s t ≤ u ↔ s ⊆ u ∧ t ≤ u :=
Multiset.induction_on s (by simp [zero_ndunion])
(fun _ _ h =>
by simp only [cons_ndunion, mem_ndunion, ndinsert_le, and_comm, cons_subset, and_left_comm, h,
and_assoc])
#align multiset.ndunion_le Multiset.ndunion_le
theorem subset_ndunion_left (s t : Multiset α) : s ⊆ ndunion s t := fun _ h =>
mem_ndunion.2 <| Or.inl h
#align multiset.subset_ndunion_left Multiset.subset_ndunion_left
theorem le_ndunion_left {s} (t : Multiset α) (d : Nodup s) : s ≤ ndunion s t :=
(le_iff_subset d).2 <| subset_ndunion_left _ _
#align multiset.le_ndunion_left Multiset.le_ndunion_left
theorem ndunion_le_union (s t : Multiset α) : ndunion s t ≤ s ∪ t :=
ndunion_le.2 ⟨subset_of_le (le_union_left _ _), le_union_right _ _⟩
#align multiset.ndunion_le_union Multiset.ndunion_le_union
theorem Nodup.ndunion (s : Multiset α) {t : Multiset α} : Nodup t → Nodup (ndunion s t) :=
Quot.induction_on₂ s t fun _ _ => List.Nodup.union _
#align multiset.nodup.ndunion Multiset.Nodup.ndunion
@[simp]
theorem ndunion_eq_union {s t : Multiset α} (d : Nodup s) : ndunion s t = s ∪ t :=
le_antisymm (ndunion_le_union _ _) <| union_le (le_ndunion_left _ d) (le_ndunion_right _ _)
#align multiset.ndunion_eq_union Multiset.ndunion_eq_union
theorem dedup_add (s t : Multiset α) : dedup (s + t) = ndunion s (dedup t) :=
Quot.induction_on₂ s t fun _ _ => congr_arg ((↑) : List α → Multiset α) <| dedup_append _ _
#align multiset.dedup_add Multiset.dedup_add
def ndinter (s t : Multiset α) : Multiset α :=
filter (· ∈ t) s
#align multiset.ndinter Multiset.ndinter
@[simp]
theorem coe_ndinter (l₁ l₂ : List α) : @ndinter α _ l₁ l₂ = (l₁ ∩ l₂ : List α) := by
simp only [ndinter, mem_coe, filter_coe, coe_eq_coe, ← elem_eq_mem]
apply Perm.refl
#align multiset.coe_ndinter Multiset.coe_ndinter
@[simp, nolint simpNF] -- Porting note (#10675): dsimp can not prove this
theorem zero_ndinter (s : Multiset α) : ndinter 0 s = 0 :=
rfl
#align multiset.zero_ndinter Multiset.zero_ndinter
@[simp]
theorem cons_ndinter_of_mem {a : α} (s : Multiset α) {t : Multiset α} (h : a ∈ t) :
ndinter (a ::ₘ s) t = a ::ₘ ndinter s t := by simp [ndinter, h]
#align multiset.cons_ndinter_of_mem Multiset.cons_ndinter_of_mem
@[simp]
| Mathlib/Data/Multiset/FinsetOps.lean | 236 | 237 | theorem ndinter_cons_of_not_mem {a : α} (s : Multiset α) {t : Multiset α} (h : a ∉ t) :
ndinter (a ::ₘ s) t = ndinter s t := by | simp [ndinter, h]
|
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Interval.Set.Group
import Mathlib.Analysis.Convex.Segment
import Mathlib.LinearAlgebra.AffineSpace.FiniteDimensional
import Mathlib.Tactic.FieldSimp
#align_import analysis.convex.between from "leanprover-community/mathlib"@"571e13cacbed7bf042fd3058ce27157101433842"
variable (R : Type*) {V V' P P' : Type*}
open AffineEquiv AffineMap
section OrderedRing
variable [OrderedRing R] [AddCommGroup V] [Module R V] [AddTorsor V P]
variable [AddCommGroup V'] [Module R V'] [AddTorsor V' P']
def affineSegment (x y : P) :=
lineMap x y '' Set.Icc (0 : R) 1
#align affine_segment affineSegment
theorem affineSegment_eq_segment (x y : V) : affineSegment R x y = segment R x y := by
rw [segment_eq_image_lineMap, affineSegment]
#align affine_segment_eq_segment affineSegment_eq_segment
theorem affineSegment_comm (x y : P) : affineSegment R x y = affineSegment R y x := by
refine Set.ext fun z => ?_
constructor <;>
· rintro ⟨t, ht, hxy⟩
refine ⟨1 - t, ?_, ?_⟩
· rwa [Set.sub_mem_Icc_iff_right, sub_self, sub_zero]
· rwa [lineMap_apply_one_sub]
#align affine_segment_comm affineSegment_comm
theorem left_mem_affineSegment (x y : P) : x ∈ affineSegment R x y :=
⟨0, Set.left_mem_Icc.2 zero_le_one, lineMap_apply_zero _ _⟩
#align left_mem_affine_segment left_mem_affineSegment
theorem right_mem_affineSegment (x y : P) : y ∈ affineSegment R x y :=
⟨1, Set.right_mem_Icc.2 zero_le_one, lineMap_apply_one _ _⟩
#align right_mem_affine_segment right_mem_affineSegment
@[simp]
theorem affineSegment_same (x : P) : affineSegment R x x = {x} := by
-- Porting note: added as this doesn't do anything in `simp_rw` any more
rw [affineSegment]
-- Note: when adding "simp made no progress" in lean4#2336,
-- had to change `lineMap_same` to `lineMap_same _`. Not sure why?
-- Porting note: added `_ _` and `Function.const`
simp_rw [lineMap_same _, AffineMap.coe_const _ _, Function.const,
(Set.nonempty_Icc.mpr zero_le_one).image_const]
#align affine_segment_same affineSegment_same
variable {R}
@[simp]
theorem affineSegment_image (f : P →ᵃ[R] P') (x y : P) :
f '' affineSegment R x y = affineSegment R (f x) (f y) := by
rw [affineSegment, affineSegment, Set.image_image, ← comp_lineMap]
rfl
#align affine_segment_image affineSegment_image
variable (R)
@[simp]
theorem affineSegment_const_vadd_image (x y : P) (v : V) :
(v +ᵥ ·) '' affineSegment R x y = affineSegment R (v +ᵥ x) (v +ᵥ y) :=
affineSegment_image (AffineEquiv.constVAdd R P v : P →ᵃ[R] P) x y
#align affine_segment_const_vadd_image affineSegment_const_vadd_image
@[simp]
theorem affineSegment_vadd_const_image (x y : V) (p : P) :
(· +ᵥ p) '' affineSegment R x y = affineSegment R (x +ᵥ p) (y +ᵥ p) :=
affineSegment_image (AffineEquiv.vaddConst R p : V →ᵃ[R] P) x y
#align affine_segment_vadd_const_image affineSegment_vadd_const_image
@[simp]
theorem affineSegment_const_vsub_image (x y p : P) :
(p -ᵥ ·) '' affineSegment R x y = affineSegment R (p -ᵥ x) (p -ᵥ y) :=
affineSegment_image (AffineEquiv.constVSub R p : P →ᵃ[R] V) x y
#align affine_segment_const_vsub_image affineSegment_const_vsub_image
@[simp]
theorem affineSegment_vsub_const_image (x y p : P) :
(· -ᵥ p) '' affineSegment R x y = affineSegment R (x -ᵥ p) (y -ᵥ p) :=
affineSegment_image ((AffineEquiv.vaddConst R p).symm : P →ᵃ[R] V) x y
#align affine_segment_vsub_const_image affineSegment_vsub_const_image
variable {R}
@[simp]
theorem mem_const_vadd_affineSegment {x y z : P} (v : V) :
v +ᵥ z ∈ affineSegment R (v +ᵥ x) (v +ᵥ y) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_const_vadd_image, (AddAction.injective v).mem_set_image]
#align mem_const_vadd_affine_segment mem_const_vadd_affineSegment
@[simp]
theorem mem_vadd_const_affineSegment {x y z : V} (p : P) :
z +ᵥ p ∈ affineSegment R (x +ᵥ p) (y +ᵥ p) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_vadd_const_image, (vadd_right_injective p).mem_set_image]
#align mem_vadd_const_affine_segment mem_vadd_const_affineSegment
@[simp]
theorem mem_const_vsub_affineSegment {x y z : P} (p : P) :
p -ᵥ z ∈ affineSegment R (p -ᵥ x) (p -ᵥ y) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_const_vsub_image, (vsub_right_injective p).mem_set_image]
#align mem_const_vsub_affine_segment mem_const_vsub_affineSegment
@[simp]
theorem mem_vsub_const_affineSegment {x y z : P} (p : P) :
z -ᵥ p ∈ affineSegment R (x -ᵥ p) (y -ᵥ p) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_vsub_const_image, (vsub_left_injective p).mem_set_image]
#align mem_vsub_const_affine_segment mem_vsub_const_affineSegment
variable (R)
def Wbtw (x y z : P) : Prop :=
y ∈ affineSegment R x z
#align wbtw Wbtw
def Sbtw (x y z : P) : Prop :=
Wbtw R x y z ∧ y ≠ x ∧ y ≠ z
#align sbtw Sbtw
variable {R}
lemma mem_segment_iff_wbtw {x y z : V} : y ∈ segment R x z ↔ Wbtw R x y z := by
rw [Wbtw, affineSegment_eq_segment]
theorem Wbtw.map {x y z : P} (h : Wbtw R x y z) (f : P →ᵃ[R] P') : Wbtw R (f x) (f y) (f z) := by
rw [Wbtw, ← affineSegment_image]
exact Set.mem_image_of_mem _ h
#align wbtw.map Wbtw.map
theorem Function.Injective.wbtw_map_iff {x y z : P} {f : P →ᵃ[R] P'} (hf : Function.Injective f) :
Wbtw R (f x) (f y) (f z) ↔ Wbtw R x y z := by
refine ⟨fun h => ?_, fun h => h.map _⟩
rwa [Wbtw, ← affineSegment_image, hf.mem_set_image] at h
#align function.injective.wbtw_map_iff Function.Injective.wbtw_map_iff
theorem Function.Injective.sbtw_map_iff {x y z : P} {f : P →ᵃ[R] P'} (hf : Function.Injective f) :
Sbtw R (f x) (f y) (f z) ↔ Sbtw R x y z := by
simp_rw [Sbtw, hf.wbtw_map_iff, hf.ne_iff]
#align function.injective.sbtw_map_iff Function.Injective.sbtw_map_iff
@[simp]
theorem AffineEquiv.wbtw_map_iff {x y z : P} (f : P ≃ᵃ[R] P') :
Wbtw R (f x) (f y) (f z) ↔ Wbtw R x y z := by
refine Function.Injective.wbtw_map_iff (?_ : Function.Injective f.toAffineMap)
exact f.injective
#align affine_equiv.wbtw_map_iff AffineEquiv.wbtw_map_iff
@[simp]
theorem AffineEquiv.sbtw_map_iff {x y z : P} (f : P ≃ᵃ[R] P') :
Sbtw R (f x) (f y) (f z) ↔ Sbtw R x y z := by
refine Function.Injective.sbtw_map_iff (?_ : Function.Injective f.toAffineMap)
exact f.injective
#align affine_equiv.sbtw_map_iff AffineEquiv.sbtw_map_iff
@[simp]
theorem wbtw_const_vadd_iff {x y z : P} (v : V) :
Wbtw R (v +ᵥ x) (v +ᵥ y) (v +ᵥ z) ↔ Wbtw R x y z :=
mem_const_vadd_affineSegment _
#align wbtw_const_vadd_iff wbtw_const_vadd_iff
@[simp]
theorem wbtw_vadd_const_iff {x y z : V} (p : P) :
Wbtw R (x +ᵥ p) (y +ᵥ p) (z +ᵥ p) ↔ Wbtw R x y z :=
mem_vadd_const_affineSegment _
#align wbtw_vadd_const_iff wbtw_vadd_const_iff
@[simp]
theorem wbtw_const_vsub_iff {x y z : P} (p : P) :
Wbtw R (p -ᵥ x) (p -ᵥ y) (p -ᵥ z) ↔ Wbtw R x y z :=
mem_const_vsub_affineSegment _
#align wbtw_const_vsub_iff wbtw_const_vsub_iff
@[simp]
theorem wbtw_vsub_const_iff {x y z : P} (p : P) :
Wbtw R (x -ᵥ p) (y -ᵥ p) (z -ᵥ p) ↔ Wbtw R x y z :=
mem_vsub_const_affineSegment _
#align wbtw_vsub_const_iff wbtw_vsub_const_iff
@[simp]
theorem sbtw_const_vadd_iff {x y z : P} (v : V) :
Sbtw R (v +ᵥ x) (v +ᵥ y) (v +ᵥ z) ↔ Sbtw R x y z := by
rw [Sbtw, Sbtw, wbtw_const_vadd_iff, (AddAction.injective v).ne_iff,
(AddAction.injective v).ne_iff]
#align sbtw_const_vadd_iff sbtw_const_vadd_iff
@[simp]
theorem sbtw_vadd_const_iff {x y z : V} (p : P) :
Sbtw R (x +ᵥ p) (y +ᵥ p) (z +ᵥ p) ↔ Sbtw R x y z := by
rw [Sbtw, Sbtw, wbtw_vadd_const_iff, (vadd_right_injective p).ne_iff,
(vadd_right_injective p).ne_iff]
#align sbtw_vadd_const_iff sbtw_vadd_const_iff
@[simp]
theorem sbtw_const_vsub_iff {x y z : P} (p : P) :
Sbtw R (p -ᵥ x) (p -ᵥ y) (p -ᵥ z) ↔ Sbtw R x y z := by
rw [Sbtw, Sbtw, wbtw_const_vsub_iff, (vsub_right_injective p).ne_iff,
(vsub_right_injective p).ne_iff]
#align sbtw_const_vsub_iff sbtw_const_vsub_iff
@[simp]
theorem sbtw_vsub_const_iff {x y z : P} (p : P) :
Sbtw R (x -ᵥ p) (y -ᵥ p) (z -ᵥ p) ↔ Sbtw R x y z := by
rw [Sbtw, Sbtw, wbtw_vsub_const_iff, (vsub_left_injective p).ne_iff,
(vsub_left_injective p).ne_iff]
#align sbtw_vsub_const_iff sbtw_vsub_const_iff
theorem Sbtw.wbtw {x y z : P} (h : Sbtw R x y z) : Wbtw R x y z :=
h.1
#align sbtw.wbtw Sbtw.wbtw
theorem Sbtw.ne_left {x y z : P} (h : Sbtw R x y z) : y ≠ x :=
h.2.1
#align sbtw.ne_left Sbtw.ne_left
theorem Sbtw.left_ne {x y z : P} (h : Sbtw R x y z) : x ≠ y :=
h.2.1.symm
#align sbtw.left_ne Sbtw.left_ne
theorem Sbtw.ne_right {x y z : P} (h : Sbtw R x y z) : y ≠ z :=
h.2.2
#align sbtw.ne_right Sbtw.ne_right
theorem Sbtw.right_ne {x y z : P} (h : Sbtw R x y z) : z ≠ y :=
h.2.2.symm
#align sbtw.right_ne Sbtw.right_ne
theorem Sbtw.mem_image_Ioo {x y z : P} (h : Sbtw R x y z) :
y ∈ lineMap x z '' Set.Ioo (0 : R) 1 := by
rcases h with ⟨⟨t, ht, rfl⟩, hyx, hyz⟩
rcases Set.eq_endpoints_or_mem_Ioo_of_mem_Icc ht with (rfl | rfl | ho)
· exfalso
exact hyx (lineMap_apply_zero _ _)
· exfalso
exact hyz (lineMap_apply_one _ _)
· exact ⟨t, ho, rfl⟩
#align sbtw.mem_image_Ioo Sbtw.mem_image_Ioo
theorem Wbtw.mem_affineSpan {x y z : P} (h : Wbtw R x y z) : y ∈ line[R, x, z] := by
rcases h with ⟨r, ⟨-, rfl⟩⟩
exact lineMap_mem_affineSpan_pair _ _ _
#align wbtw.mem_affine_span Wbtw.mem_affineSpan
theorem wbtw_comm {x y z : P} : Wbtw R x y z ↔ Wbtw R z y x := by
rw [Wbtw, Wbtw, affineSegment_comm]
#align wbtw_comm wbtw_comm
alias ⟨Wbtw.symm, _⟩ := wbtw_comm
#align wbtw.symm Wbtw.symm
theorem sbtw_comm {x y z : P} : Sbtw R x y z ↔ Sbtw R z y x := by
rw [Sbtw, Sbtw, wbtw_comm, ← and_assoc, ← and_assoc, and_right_comm]
#align sbtw_comm sbtw_comm
alias ⟨Sbtw.symm, _⟩ := sbtw_comm
#align sbtw.symm Sbtw.symm
variable (R)
@[simp]
theorem wbtw_self_left (x y : P) : Wbtw R x x y :=
left_mem_affineSegment _ _ _
#align wbtw_self_left wbtw_self_left
@[simp]
theorem wbtw_self_right (x y : P) : Wbtw R x y y :=
right_mem_affineSegment _ _ _
#align wbtw_self_right wbtw_self_right
@[simp]
theorem wbtw_self_iff {x y : P} : Wbtw R x y x ↔ y = x := by
refine ⟨fun h => ?_, fun h => ?_⟩
· -- Porting note: Originally `simpa [Wbtw, affineSegment] using h`
have ⟨_, _, h₂⟩ := h
rw [h₂.symm, lineMap_same_apply]
· rw [h]
exact wbtw_self_left R x x
#align wbtw_self_iff wbtw_self_iff
@[simp]
theorem not_sbtw_self_left (x y : P) : ¬Sbtw R x x y :=
fun h => h.ne_left rfl
#align not_sbtw_self_left not_sbtw_self_left
@[simp]
theorem not_sbtw_self_right (x y : P) : ¬Sbtw R x y y :=
fun h => h.ne_right rfl
#align not_sbtw_self_right not_sbtw_self_right
variable {R}
theorem Wbtw.left_ne_right_of_ne_left {x y z : P} (h : Wbtw R x y z) (hne : y ≠ x) : x ≠ z := by
rintro rfl
rw [wbtw_self_iff] at h
exact hne h
#align wbtw.left_ne_right_of_ne_left Wbtw.left_ne_right_of_ne_left
theorem Wbtw.left_ne_right_of_ne_right {x y z : P} (h : Wbtw R x y z) (hne : y ≠ z) : x ≠ z := by
rintro rfl
rw [wbtw_self_iff] at h
exact hne h
#align wbtw.left_ne_right_of_ne_right Wbtw.left_ne_right_of_ne_right
theorem Sbtw.left_ne_right {x y z : P} (h : Sbtw R x y z) : x ≠ z :=
h.wbtw.left_ne_right_of_ne_left h.2.1
#align sbtw.left_ne_right Sbtw.left_ne_right
theorem sbtw_iff_mem_image_Ioo_and_ne [NoZeroSMulDivisors R V] {x y z : P} :
Sbtw R x y z ↔ y ∈ lineMap x z '' Set.Ioo (0 : R) 1 ∧ x ≠ z := by
refine ⟨fun h => ⟨h.mem_image_Ioo, h.left_ne_right⟩, fun h => ?_⟩
rcases h with ⟨⟨t, ht, rfl⟩, hxz⟩
refine ⟨⟨t, Set.mem_Icc_of_Ioo ht, rfl⟩, ?_⟩
rw [lineMap_apply, ← @vsub_ne_zero V, ← @vsub_ne_zero V _ _ _ _ z, vadd_vsub_assoc, vsub_self,
vadd_vsub_assoc, ← neg_vsub_eq_vsub_rev z x, ← @neg_one_smul R, ← add_smul, ← sub_eq_add_neg]
simp [smul_ne_zero, sub_eq_zero, ht.1.ne.symm, ht.2.ne, hxz.symm]
#align sbtw_iff_mem_image_Ioo_and_ne sbtw_iff_mem_image_Ioo_and_ne
variable (R)
@[simp]
theorem not_sbtw_self (x y : P) : ¬Sbtw R x y x :=
fun h => h.left_ne_right rfl
#align not_sbtw_self not_sbtw_self
theorem wbtw_swap_left_iff [NoZeroSMulDivisors R V] {x y : P} (z : P) :
Wbtw R x y z ∧ Wbtw R y x z ↔ x = y := by
constructor
· rintro ⟨hxyz, hyxz⟩
rcases hxyz with ⟨ty, hty, rfl⟩
rcases hyxz with ⟨tx, htx, hx⟩
rw [lineMap_apply, lineMap_apply, ← add_vadd] at hx
rw [← @vsub_eq_zero_iff_eq V, vadd_vsub, vsub_vadd_eq_vsub_sub, smul_sub, smul_smul, ← sub_smul,
← add_smul, smul_eq_zero] at hx
rcases hx with (h | h)
· nth_rw 1 [← mul_one tx] at h
rw [← mul_sub, add_eq_zero_iff_neg_eq] at h
have h' : ty = 0 := by
refine le_antisymm ?_ hty.1
rw [← h, Left.neg_nonpos_iff]
exact mul_nonneg htx.1 (sub_nonneg.2 hty.2)
simp [h']
· rw [vsub_eq_zero_iff_eq] at h
rw [h, lineMap_same_apply]
· rintro rfl
exact ⟨wbtw_self_left _ _ _, wbtw_self_left _ _ _⟩
#align wbtw_swap_left_iff wbtw_swap_left_iff
theorem wbtw_swap_right_iff [NoZeroSMulDivisors R V] (x : P) {y z : P} :
Wbtw R x y z ∧ Wbtw R x z y ↔ y = z := by
rw [wbtw_comm, wbtw_comm (z := y), eq_comm]
exact wbtw_swap_left_iff R x
#align wbtw_swap_right_iff wbtw_swap_right_iff
theorem wbtw_rotate_iff [NoZeroSMulDivisors R V] (x : P) {y z : P} :
Wbtw R x y z ∧ Wbtw R z x y ↔ x = y := by rw [wbtw_comm, wbtw_swap_right_iff, eq_comm]
#align wbtw_rotate_iff wbtw_rotate_iff
variable {R}
| Mathlib/Analysis/Convex/Between.lean | 389 | 390 | theorem Wbtw.swap_left_iff [NoZeroSMulDivisors R V] {x y z : P} (h : Wbtw R x y z) :
Wbtw R y x z ↔ x = y := by | rw [← wbtw_swap_left_iff R z, and_iff_right h]
|
import Mathlib.Order.BooleanAlgebra
import Mathlib.Tactic.Common
#align_import order.heyting.boundary from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025"
variable {α : Type*}
namespace Coheyting
variable [CoheytingAlgebra α] {a b : α}
def boundary (a : α) : α :=
a ⊓ ￢a
#align coheyting.boundary Coheyting.boundary
scoped[Heyting] prefix:120 "∂ " => Coheyting.boundary
-- Porting note: Should the notation be automatically included in the current scope?
open Heyting
-- Porting note: Should hnot be named hNot?
theorem inf_hnot_self (a : α) : a ⊓ ￢a = ∂ a :=
rfl
#align coheyting.inf_hnot_self Coheyting.inf_hnot_self
theorem boundary_le : ∂ a ≤ a :=
inf_le_left
#align coheyting.boundary_le Coheyting.boundary_le
theorem boundary_le_hnot : ∂ a ≤ ￢a :=
inf_le_right
#align coheyting.boundary_le_hnot Coheyting.boundary_le_hnot
@[simp]
theorem boundary_bot : ∂ (⊥ : α) = ⊥ := bot_inf_eq _
#align coheyting.boundary_bot Coheyting.boundary_bot
@[simp]
theorem boundary_top : ∂ (⊤ : α) = ⊥ := by rw [boundary, hnot_top, inf_bot_eq]
#align coheyting.boundary_top Coheyting.boundary_top
theorem boundary_hnot_le (a : α) : ∂ (￢a) ≤ ∂ a :=
(inf_comm _ _).trans_le <| inf_le_inf_right _ hnot_hnot_le
#align coheyting.boundary_hnot_le Coheyting.boundary_hnot_le
@[simp]
theorem boundary_hnot_hnot (a : α) : ∂ (￢￢a) = ∂ (￢a) := by
simp_rw [boundary, hnot_hnot_hnot, inf_comm]
#align coheyting.boundary_hnot_hnot Coheyting.boundary_hnot_hnot
@[simp]
theorem hnot_boundary (a : α) : ￢∂ a = ⊤ := by rw [boundary, hnot_inf_distrib, sup_hnot_self]
#align coheyting.hnot_boundary Coheyting.hnot_boundary
theorem boundary_inf (a b : α) : ∂ (a ⊓ b) = ∂ a ⊓ b ⊔ a ⊓ ∂ b := by
unfold boundary
rw [hnot_inf_distrib, inf_sup_left, inf_right_comm, ← inf_assoc]
#align coheyting.boundary_inf Coheyting.boundary_inf
theorem boundary_inf_le : ∂ (a ⊓ b) ≤ ∂ a ⊔ ∂ b :=
(boundary_inf _ _).trans_le <| sup_le_sup inf_le_left inf_le_right
#align coheyting.boundary_inf_le Coheyting.boundary_inf_le
theorem boundary_sup_le : ∂ (a ⊔ b) ≤ ∂ a ⊔ ∂ b := by
rw [boundary, inf_sup_right]
exact
sup_le_sup (inf_le_inf_left _ <| hnot_anti le_sup_left)
(inf_le_inf_left _ <| hnot_anti le_sup_right)
#align coheyting.boundary_sup_le Coheyting.boundary_sup_le
example (a b : Prop) : (a ∧ b ∨ ¬(a ∧ b)) ∧ ((a ∨ b) ∨ ¬(a ∨ b)) → a ∨ ¬a := by
rintro ⟨⟨ha, _⟩ | hnab, (ha | hb) | hnab⟩ <;> try exact Or.inl ha
· exact Or.inr fun ha => hnab ⟨ha, hb⟩
· exact Or.inr fun ha => hnab <| Or.inl ha
theorem boundary_le_boundary_sup_sup_boundary_inf_left : ∂ a ≤ ∂ (a ⊔ b) ⊔ ∂ (a ⊓ b) := by
-- Porting note: the following simp generates the same term as mathlib3 if you remove
-- sup_inf_right from both. With sup_inf_right included, mathlib4 and mathlib3 generate
-- different terms
simp only [boundary, sup_inf_left, sup_inf_right, sup_right_idem, le_inf_iff, sup_assoc,
sup_comm _ a]
refine ⟨⟨⟨?_, ?_⟩, ⟨?_, ?_⟩⟩, ?_, ?_⟩ <;> try { exact le_sup_of_le_left inf_le_left } <;>
refine inf_le_of_right_le ?_
· rw [hnot_le_iff_codisjoint_right, codisjoint_left_comm]
exact codisjoint_hnot_left
· refine le_sup_of_le_right ?_
rw [hnot_le_iff_codisjoint_right]
exact codisjoint_hnot_right.mono_right (hnot_anti inf_le_left)
#align coheyting.boundary_le_boundary_sup_sup_boundary_inf_left Coheyting.boundary_le_boundary_sup_sup_boundary_inf_left
| Mathlib/Order/Heyting/Boundary.lean | 120 | 122 | theorem boundary_le_boundary_sup_sup_boundary_inf_right : ∂ b ≤ ∂ (a ⊔ b) ⊔ ∂ (a ⊓ b) := by |
rw [sup_comm a, inf_comm]
exact boundary_le_boundary_sup_sup_boundary_inf_left
|
import Batteries.Control.ForInStep.Lemmas
import Batteries.Data.List.Basic
import Batteries.Tactic.Init
import Batteries.Tactic.Alias
namespace List
open Nat
@[simp] theorem mem_toArray {a : α} {l : List α} : a ∈ l.toArray ↔ a ∈ l := by
simp [Array.mem_def]
@[simp]
theorem drop_one : ∀ l : List α, drop 1 l = tail l
| [] | _ :: _ => rfl
theorem zipWith_distrib_tail : (zipWith f l l').tail = zipWith f l.tail l'.tail := by
rw [← drop_one]; simp [zipWith_distrib_drop]
theorem subset_def {l₁ l₂ : List α} : l₁ ⊆ l₂ ↔ ∀ {a : α}, a ∈ l₁ → a ∈ l₂ := .rfl
@[simp] theorem nil_subset (l : List α) : [] ⊆ l := nofun
@[simp] theorem Subset.refl (l : List α) : l ⊆ l := fun _ i => i
theorem Subset.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ ⊆ l₂) (h₂ : l₂ ⊆ l₃) : l₁ ⊆ l₃ :=
fun _ i => h₂ (h₁ i)
instance : Trans (Membership.mem : α → List α → Prop) Subset Membership.mem :=
⟨fun h₁ h₂ => h₂ h₁⟩
instance : Trans (Subset : List α → List α → Prop) Subset Subset :=
⟨Subset.trans⟩
@[simp] theorem subset_cons (a : α) (l : List α) : l ⊆ a :: l := fun _ => Mem.tail _
theorem subset_of_cons_subset {a : α} {l₁ l₂ : List α} : a :: l₁ ⊆ l₂ → l₁ ⊆ l₂ :=
fun s _ i => s (mem_cons_of_mem _ i)
theorem subset_cons_of_subset (a : α) {l₁ l₂ : List α} : l₁ ⊆ l₂ → l₁ ⊆ a :: l₂ :=
fun s _ i => .tail _ (s i)
theorem cons_subset_cons {l₁ l₂ : List α} (a : α) (s : l₁ ⊆ l₂) : a :: l₁ ⊆ a :: l₂ :=
fun _ => by simp only [mem_cons]; exact Or.imp_right (@s _)
@[simp] theorem subset_append_left (l₁ l₂ : List α) : l₁ ⊆ l₁ ++ l₂ := fun _ => mem_append_left _
@[simp] theorem subset_append_right (l₁ l₂ : List α) : l₂ ⊆ l₁ ++ l₂ := fun _ => mem_append_right _
theorem subset_append_of_subset_left (l₂ : List α) : l ⊆ l₁ → l ⊆ l₁ ++ l₂ :=
fun s => Subset.trans s <| subset_append_left _ _
theorem subset_append_of_subset_right (l₁ : List α) : l ⊆ l₂ → l ⊆ l₁ ++ l₂ :=
fun s => Subset.trans s <| subset_append_right _ _
@[simp] theorem cons_subset : a :: l ⊆ m ↔ a ∈ m ∧ l ⊆ m := by
simp only [subset_def, mem_cons, or_imp, forall_and, forall_eq]
@[simp] theorem append_subset {l₁ l₂ l : List α} :
l₁ ++ l₂ ⊆ l ↔ l₁ ⊆ l ∧ l₂ ⊆ l := by simp [subset_def, or_imp, forall_and]
theorem subset_nil {l : List α} : l ⊆ [] ↔ l = [] :=
⟨fun h => match l with | [] => rfl | _::_ => (nomatch h (.head ..)), fun | rfl => Subset.refl _⟩
theorem map_subset {l₁ l₂ : List α} (f : α → β) (H : l₁ ⊆ l₂) : map f l₁ ⊆ map f l₂ :=
fun x => by simp only [mem_map]; exact .imp fun a => .imp_left (@H _)
@[simp] theorem nil_sublist : ∀ l : List α, [] <+ l
| [] => .slnil
| a :: l => (nil_sublist l).cons a
@[simp] theorem Sublist.refl : ∀ l : List α, l <+ l
| [] => .slnil
| a :: l => (Sublist.refl l).cons₂ a
theorem Sublist.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ <+ l₂) (h₂ : l₂ <+ l₃) : l₁ <+ l₃ := by
induction h₂ generalizing l₁ with
| slnil => exact h₁
| cons _ _ IH => exact (IH h₁).cons _
| @cons₂ l₂ _ a _ IH =>
generalize e : a :: l₂ = l₂'
match e ▸ h₁ with
| .slnil => apply nil_sublist
| .cons a' h₁' => cases e; apply (IH h₁').cons
| .cons₂ a' h₁' => cases e; apply (IH h₁').cons₂
instance : Trans (@Sublist α) Sublist Sublist := ⟨Sublist.trans⟩
@[simp] theorem sublist_cons (a : α) (l : List α) : l <+ a :: l := (Sublist.refl l).cons _
theorem sublist_of_cons_sublist : a :: l₁ <+ l₂ → l₁ <+ l₂ :=
(sublist_cons a l₁).trans
@[simp] theorem sublist_append_left : ∀ l₁ l₂ : List α, l₁ <+ l₁ ++ l₂
| [], _ => nil_sublist _
| _ :: l₁, l₂ => (sublist_append_left l₁ l₂).cons₂ _
@[simp] theorem sublist_append_right : ∀ l₁ l₂ : List α, l₂ <+ l₁ ++ l₂
| [], _ => Sublist.refl _
| _ :: l₁, l₂ => (sublist_append_right l₁ l₂).cons _
theorem sublist_append_of_sublist_left (s : l <+ l₁) : l <+ l₁ ++ l₂ :=
s.trans <| sublist_append_left ..
theorem sublist_append_of_sublist_right (s : l <+ l₂) : l <+ l₁ ++ l₂ :=
s.trans <| sublist_append_right ..
@[simp]
theorem cons_sublist_cons : a :: l₁ <+ a :: l₂ ↔ l₁ <+ l₂ :=
⟨fun | .cons _ s => sublist_of_cons_sublist s | .cons₂ _ s => s, .cons₂ _⟩
@[simp] theorem append_sublist_append_left : ∀ l, l ++ l₁ <+ l ++ l₂ ↔ l₁ <+ l₂
| [] => Iff.rfl
| _ :: l => cons_sublist_cons.trans (append_sublist_append_left l)
theorem Sublist.append_left : l₁ <+ l₂ → ∀ l, l ++ l₁ <+ l ++ l₂ :=
fun h l => (append_sublist_append_left l).mpr h
theorem Sublist.append_right : l₁ <+ l₂ → ∀ l, l₁ ++ l <+ l₂ ++ l
| .slnil, _ => Sublist.refl _
| .cons _ h, _ => (h.append_right _).cons _
| .cons₂ _ h, _ => (h.append_right _).cons₂ _
theorem sublist_or_mem_of_sublist (h : l <+ l₁ ++ a :: l₂) : l <+ l₁ ++ l₂ ∨ a ∈ l := by
induction l₁ generalizing l with
| nil => match h with
| .cons _ h => exact .inl h
| .cons₂ _ h => exact .inr (.head ..)
| cons b l₁ IH =>
match h with
| .cons _ h => exact (IH h).imp_left (Sublist.cons _)
| .cons₂ _ h => exact (IH h).imp (Sublist.cons₂ _) (.tail _)
theorem Sublist.reverse : l₁ <+ l₂ → l₁.reverse <+ l₂.reverse
| .slnil => Sublist.refl _
| .cons _ h => by rw [reverse_cons]; exact sublist_append_of_sublist_left h.reverse
| .cons₂ _ h => by rw [reverse_cons, reverse_cons]; exact h.reverse.append_right _
@[simp] theorem reverse_sublist : l₁.reverse <+ l₂.reverse ↔ l₁ <+ l₂ :=
⟨fun h => l₁.reverse_reverse ▸ l₂.reverse_reverse ▸ h.reverse, Sublist.reverse⟩
@[simp] theorem append_sublist_append_right (l) : l₁ ++ l <+ l₂ ++ l ↔ l₁ <+ l₂ :=
⟨fun h => by
have := h.reverse
simp only [reverse_append, append_sublist_append_left, reverse_sublist] at this
exact this,
fun h => h.append_right l⟩
theorem Sublist.append (hl : l₁ <+ l₂) (hr : r₁ <+ r₂) : l₁ ++ r₁ <+ l₂ ++ r₂ :=
(hl.append_right _).trans ((append_sublist_append_left _).2 hr)
theorem Sublist.subset : l₁ <+ l₂ → l₁ ⊆ l₂
| .slnil, _, h => h
| .cons _ s, _, h => .tail _ (s.subset h)
| .cons₂ .., _, .head .. => .head ..
| .cons₂ _ s, _, .tail _ h => .tail _ (s.subset h)
instance : Trans (@Sublist α) Subset Subset :=
⟨fun h₁ h₂ => trans h₁.subset h₂⟩
instance : Trans Subset (@Sublist α) Subset :=
⟨fun h₁ h₂ => trans h₁ h₂.subset⟩
instance : Trans (Membership.mem : α → List α → Prop) Sublist Membership.mem :=
⟨fun h₁ h₂ => h₂.subset h₁⟩
theorem Sublist.length_le : l₁ <+ l₂ → length l₁ ≤ length l₂
| .slnil => Nat.le_refl 0
| .cons _l s => le_succ_of_le (length_le s)
| .cons₂ _ s => succ_le_succ (length_le s)
@[simp] theorem sublist_nil {l : List α} : l <+ [] ↔ l = [] :=
⟨fun s => subset_nil.1 s.subset, fun H => H ▸ Sublist.refl _⟩
theorem Sublist.eq_of_length : l₁ <+ l₂ → length l₁ = length l₂ → l₁ = l₂
| .slnil, _ => rfl
| .cons a s, h => nomatch Nat.not_lt.2 s.length_le (h ▸ lt_succ_self _)
| .cons₂ a s, h => by rw [s.eq_of_length (succ.inj h)]
theorem Sublist.eq_of_length_le (s : l₁ <+ l₂) (h : length l₂ ≤ length l₁) : l₁ = l₂ :=
s.eq_of_length <| Nat.le_antisymm s.length_le h
@[simp] theorem singleton_sublist {a : α} {l} : [a] <+ l ↔ a ∈ l := by
refine ⟨fun h => h.subset (mem_singleton_self _), fun h => ?_⟩
obtain ⟨_, _, rfl⟩ := append_of_mem h
exact ((nil_sublist _).cons₂ _).trans (sublist_append_right ..)
@[simp] theorem replicate_sublist_replicate {m n} (a : α) :
replicate m a <+ replicate n a ↔ m ≤ n := by
refine ⟨fun h => ?_, fun h => ?_⟩
· have := h.length_le; simp only [length_replicate] at this ⊢; exact this
· induction h with
| refl => apply Sublist.refl
| step => simp [*, replicate, Sublist.cons]
theorem isSublist_iff_sublist [BEq α] [LawfulBEq α] {l₁ l₂ : List α} :
l₁.isSublist l₂ ↔ l₁ <+ l₂ := by
cases l₁ <;> cases l₂ <;> simp [isSublist]
case cons.cons hd₁ tl₁ hd₂ tl₂ =>
if h_eq : hd₁ = hd₂ then
simp [h_eq, cons_sublist_cons, isSublist_iff_sublist]
else
simp only [beq_iff_eq, h_eq]
constructor
· intro h_sub
apply Sublist.cons
exact isSublist_iff_sublist.mp h_sub
· intro h_sub
cases h_sub
case cons h_sub =>
exact isSublist_iff_sublist.mpr h_sub
case cons₂ =>
contradiction
instance [DecidableEq α] (l₁ l₂ : List α) : Decidable (l₁ <+ l₂) :=
decidable_of_iff (l₁.isSublist l₂) isSublist_iff_sublist
theorem tail_eq_tailD (l) : @tail α l = tailD l [] := by cases l <;> rfl
theorem tail_eq_tail? (l) : @tail α l = (tail? l).getD [] := by simp [tail_eq_tailD]
@[simp] theorem next?_nil : @next? α [] = none := rfl
@[simp] theorem next?_cons (a l) : @next? α (a :: l) = some (a, l) := rfl
theorem get_eq_iff : List.get l n = x ↔ l.get? n.1 = some x := by simp [get?_eq_some]
theorem get?_inj
(h₀ : i < xs.length) (h₁ : Nodup xs) (h₂ : xs.get? i = xs.get? j) : i = j := by
induction xs generalizing i j with
| nil => cases h₀
| cons x xs ih =>
match i, j with
| 0, 0 => rfl
| i+1, j+1 => simp; cases h₁ with
| cons ha h₁ => exact ih (Nat.lt_of_succ_lt_succ h₀) h₁ h₂
| i+1, 0 => ?_ | 0, j+1 => ?_
all_goals
simp at h₂
cases h₁; rename_i h' h
have := h x ?_ rfl; cases this
rw [mem_iff_get?]
exact ⟨_, h₂⟩; exact ⟨_ , h₂.symm⟩
theorem tail_drop (l : List α) (n : Nat) : (l.drop n).tail = l.drop (n + 1) := by
induction l generalizing n with
| nil => simp
| cons hd tl hl =>
cases n
· simp
· simp [hl]
@[simp] theorem modifyNth_nil (f : α → α) (n) : [].modifyNth f n = [] := by cases n <;> rfl
@[simp] theorem modifyNth_zero_cons (f : α → α) (a : α) (l : List α) :
(a :: l).modifyNth f 0 = f a :: l := rfl
@[simp] theorem modifyNth_succ_cons (f : α → α) (a : α) (l : List α) (n) :
(a :: l).modifyNth f (n + 1) = a :: l.modifyNth f n := by rfl
theorem modifyNthTail_id : ∀ n (l : List α), l.modifyNthTail id n = l
| 0, _ => rfl
| _+1, [] => rfl
| n+1, a :: l => congrArg (cons a) (modifyNthTail_id n l)
theorem eraseIdx_eq_modifyNthTail : ∀ n (l : List α), eraseIdx l n = modifyNthTail tail n l
| 0, l => by cases l <;> rfl
| n+1, [] => rfl
| n+1, a :: l => congrArg (cons _) (eraseIdx_eq_modifyNthTail _ _)
@[deprecated] alias removeNth_eq_nth_tail := eraseIdx_eq_modifyNthTail
theorem get?_modifyNth (f : α → α) :
∀ n (l : List α) m, (modifyNth f n l).get? m = (fun a => if n = m then f a else a) <$> l.get? m
| n, l, 0 => by cases l <;> cases n <;> rfl
| n, [], _+1 => by cases n <;> rfl
| 0, _ :: l, m+1 => by cases h : l.get? m <;> simp [h, modifyNth, m.succ_ne_zero.symm]
| n+1, a :: l, m+1 =>
(get?_modifyNth f n l m).trans <| by
cases h' : l.get? m <;> by_cases h : n = m <;>
simp [h, if_pos, if_neg, Option.map, mt Nat.succ.inj, not_false_iff, h']
theorem modifyNthTail_length (f : List α → List α) (H : ∀ l, length (f l) = length l) :
∀ n l, length (modifyNthTail f n l) = length l
| 0, _ => H _
| _+1, [] => rfl
| _+1, _ :: _ => congrArg (·+1) (modifyNthTail_length _ H _ _)
theorem modifyNthTail_add (f : List α → List α) (n) (l₁ l₂ : List α) :
modifyNthTail f (l₁.length + n) (l₁ ++ l₂) = l₁ ++ modifyNthTail f n l₂ := by
induction l₁ <;> simp [*, Nat.succ_add]
theorem exists_of_modifyNthTail (f : List α → List α) {n} {l : List α} (h : n ≤ l.length) :
∃ l₁ l₂, l = l₁ ++ l₂ ∧ l₁.length = n ∧ modifyNthTail f n l = l₁ ++ f l₂ :=
have ⟨_, _, eq, hl⟩ : ∃ l₁ l₂, l = l₁ ++ l₂ ∧ l₁.length = n :=
⟨_, _, (take_append_drop n l).symm, length_take_of_le h⟩
⟨_, _, eq, hl, hl ▸ eq ▸ modifyNthTail_add (n := 0) ..⟩
@[simp] theorem modify_get?_length (f : α → α) : ∀ n l, length (modifyNth f n l) = length l :=
modifyNthTail_length _ fun l => by cases l <;> rfl
@[simp] theorem get?_modifyNth_eq (f : α → α) (n) (l : List α) :
(modifyNth f n l).get? n = f <$> l.get? n := by
simp only [get?_modifyNth, if_pos]
@[simp] theorem get?_modifyNth_ne (f : α → α) {m n} (l : List α) (h : m ≠ n) :
(modifyNth f m l).get? n = l.get? n := by
simp only [get?_modifyNth, if_neg h, id_map']
theorem exists_of_modifyNth (f : α → α) {n} {l : List α} (h : n < l.length) :
∃ l₁ a l₂, l = l₁ ++ a :: l₂ ∧ l₁.length = n ∧ modifyNth f n l = l₁ ++ f a :: l₂ :=
match exists_of_modifyNthTail _ (Nat.le_of_lt h) with
| ⟨_, _::_, eq, hl, H⟩ => ⟨_, _, _, eq, hl, H⟩
| ⟨_, [], eq, hl, _⟩ => nomatch Nat.ne_of_gt h (eq ▸ append_nil _ ▸ hl)
theorem modifyNthTail_eq_take_drop (f : List α → List α) (H : f [] = []) :
∀ n l, modifyNthTail f n l = take n l ++ f (drop n l)
| 0, _ => rfl
| _ + 1, [] => H.symm
| n + 1, b :: l => congrArg (cons b) (modifyNthTail_eq_take_drop f H n l)
theorem modifyNth_eq_take_drop (f : α → α) :
∀ n l, modifyNth f n l = take n l ++ modifyHead f (drop n l) :=
modifyNthTail_eq_take_drop _ rfl
theorem modifyNth_eq_take_cons_drop (f : α → α) {n l} (h) :
modifyNth f n l = take n l ++ f (get l ⟨n, h⟩) :: drop (n + 1) l := by
rw [modifyNth_eq_take_drop, drop_eq_get_cons h]; rfl
theorem set_eq_modifyNth (a : α) : ∀ n (l : List α), set l n a = modifyNth (fun _ => a) n l
| 0, l => by cases l <;> rfl
| n+1, [] => rfl
| n+1, b :: l => congrArg (cons _) (set_eq_modifyNth _ _ _)
theorem set_eq_take_cons_drop (a : α) {n l} (h : n < length l) :
set l n a = take n l ++ a :: drop (n + 1) l := by
rw [set_eq_modifyNth, modifyNth_eq_take_cons_drop _ h]
theorem modifyNth_eq_set_get? (f : α → α) :
∀ n (l : List α), l.modifyNth f n = ((fun a => l.set n (f a)) <$> l.get? n).getD l
| 0, l => by cases l <;> rfl
| n+1, [] => rfl
| n+1, b :: l =>
(congrArg (cons _) (modifyNth_eq_set_get? ..)).trans <| by cases h : l.get? n <;> simp [h]
theorem modifyNth_eq_set_get (f : α → α) {n} {l : List α} (h) :
l.modifyNth f n = l.set n (f (l.get ⟨n, h⟩)) := by
rw [modifyNth_eq_set_get?, get?_eq_get h]; rfl
theorem exists_of_set {l : List α} (h : n < l.length) :
∃ l₁ a l₂, l = l₁ ++ a :: l₂ ∧ l₁.length = n ∧ l.set n a' = l₁ ++ a' :: l₂ := by
rw [set_eq_modifyNth]; exact exists_of_modifyNth _ h
theorem exists_of_set' {l : List α} (h : n < l.length) :
∃ l₁ l₂, l = l₁ ++ l.get ⟨n, h⟩ :: l₂ ∧ l₁.length = n ∧ l.set n a' = l₁ ++ a' :: l₂ :=
have ⟨_, _, _, h₁, h₂, h₃⟩ := exists_of_set h; ⟨_, _, get_of_append h₁ h₂ ▸ h₁, h₂, h₃⟩
@[simp]
theorem get?_set_eq (a : α) (n) (l : List α) : (set l n a).get? n = (fun _ => a) <$> l.get? n := by
simp only [set_eq_modifyNth, get?_modifyNth_eq]
theorem get?_set_eq_of_lt (a : α) {n} {l : List α} (h : n < length l) :
(set l n a).get? n = some a := by rw [get?_set_eq, get?_eq_get h]; rfl
@[simp]
theorem get?_set_ne (a : α) {m n} (l : List α) (h : m ≠ n) : (set l m a).get? n = l.get? n := by
simp only [set_eq_modifyNth, get?_modifyNth_ne _ _ h]
theorem get?_set (a : α) {m n} (l : List α) :
(set l m a).get? n = if m = n then (fun _ => a) <$> l.get? n else l.get? n := by
by_cases m = n <;> simp [*, get?_set_eq, get?_set_ne]
theorem get?_set_of_lt (a : α) {m n} (l : List α) (h : n < length l) :
(set l m a).get? n = if m = n then some a else l.get? n := by
simp [get?_set, get?_eq_get h]
theorem get?_set_of_lt' (a : α) {m n} (l : List α) (h : m < length l) :
(set l m a).get? n = if m = n then some a else l.get? n := by
simp [get?_set]; split <;> subst_vars <;> simp [*, get?_eq_get h]
theorem drop_set_of_lt (a : α) {n m : Nat} (l : List α) (h : n < m) :
(l.set n a).drop m = l.drop m :=
List.ext fun i => by rw [get?_drop, get?_drop, get?_set_ne _ _ (by omega)]
theorem take_set_of_lt (a : α) {n m : Nat} (l : List α) (h : m < n) :
(l.set n a).take m = l.take m :=
List.ext fun i => by
rw [get?_take_eq_if, get?_take_eq_if]
split
· next h' => rw [get?_set_ne _ _ (by omega)]
· rfl
theorem length_eraseIdx : ∀ {l i}, i < length l → length (@eraseIdx α l i) = length l - 1
| [], _, _ => rfl
| _::_, 0, _ => by simp [eraseIdx]
| x::xs, i+1, h => by
have : i < length xs := Nat.lt_of_succ_lt_succ h
simp [eraseIdx, ← Nat.add_one]
rw [length_eraseIdx this, Nat.sub_add_cancel (Nat.lt_of_le_of_lt (Nat.zero_le _) this)]
@[deprecated] alias length_removeNth := length_eraseIdx
@[simp] theorem length_tail (l : List α) : length (tail l) = length l - 1 := by cases l <;> rfl
@[simp] theorem eraseP_nil : [].eraseP p = [] := rfl
theorem eraseP_cons (a : α) (l : List α) :
(a :: l).eraseP p = bif p a then l else a :: l.eraseP p := rfl
@[simp] theorem eraseP_cons_of_pos {l : List α} (p) (h : p a) : (a :: l).eraseP p = l := by
simp [eraseP_cons, h]
@[simp] theorem eraseP_cons_of_neg {l : List α} (p) (h : ¬p a) :
(a :: l).eraseP p = a :: l.eraseP p := by simp [eraseP_cons, h]
theorem eraseP_of_forall_not {l : List α} (h : ∀ a, a ∈ l → ¬p a) : l.eraseP p = l := by
induction l with
| nil => rfl
| cons _ _ ih => simp [h _ (.head ..), ih (forall_mem_cons.1 h).2]
theorem exists_of_eraseP : ∀ {l : List α} {a} (al : a ∈ l) (pa : p a),
∃ a l₁ l₂, (∀ b ∈ l₁, ¬p b) ∧ p a ∧ l = l₁ ++ a :: l₂ ∧ l.eraseP p = l₁ ++ l₂
| b :: l, a, al, pa =>
if pb : p b then
⟨b, [], l, forall_mem_nil _, pb, by simp [pb]⟩
else
match al with
| .head .. => nomatch pb pa
| .tail _ al =>
let ⟨c, l₁, l₂, h₁, h₂, h₃, h₄⟩ := exists_of_eraseP al pa
⟨c, b::l₁, l₂, (forall_mem_cons ..).2 ⟨pb, h₁⟩,
h₂, by rw [h₃, cons_append], by simp [pb, h₄]⟩
theorem exists_or_eq_self_of_eraseP (p) (l : List α) :
l.eraseP p = l ∨
∃ a l₁ l₂, (∀ b ∈ l₁, ¬p b) ∧ p a ∧ l = l₁ ++ a :: l₂ ∧ l.eraseP p = l₁ ++ l₂ :=
if h : ∃ a ∈ l, p a then
let ⟨_, ha, pa⟩ := h
.inr (exists_of_eraseP ha pa)
else
.inl (eraseP_of_forall_not (h ⟨·, ·, ·⟩))
@[simp] theorem length_eraseP_of_mem (al : a ∈ l) (pa : p a) :
length (l.eraseP p) = Nat.pred (length l) := by
let ⟨_, l₁, l₂, _, _, e₁, e₂⟩ := exists_of_eraseP al pa
rw [e₂]; simp [length_append, e₁]; rfl
theorem eraseP_append_left {a : α} (pa : p a) :
∀ {l₁ : List α} l₂, a ∈ l₁ → (l₁++l₂).eraseP p = l₁.eraseP p ++ l₂
| x :: xs, l₂, h => by
by_cases h' : p x <;> simp [h']
rw [eraseP_append_left pa l₂ ((mem_cons.1 h).resolve_left (mt _ h'))]
intro | rfl => exact pa
theorem eraseP_append_right :
∀ {l₁ : List α} l₂, (∀ b ∈ l₁, ¬p b) → eraseP p (l₁++l₂) = l₁ ++ l₂.eraseP p
| [], l₂, _ => rfl
| x :: xs, l₂, h => by
simp [(forall_mem_cons.1 h).1, eraseP_append_right _ (forall_mem_cons.1 h).2]
theorem eraseP_sublist (l : List α) : l.eraseP p <+ l := by
match exists_or_eq_self_of_eraseP p l with
| .inl h => rw [h]; apply Sublist.refl
| .inr ⟨c, l₁, l₂, _, _, h₃, h₄⟩ => rw [h₄, h₃]; simp
theorem eraseP_subset (l : List α) : l.eraseP p ⊆ l := (eraseP_sublist l).subset
protected theorem Sublist.eraseP : l₁ <+ l₂ → l₁.eraseP p <+ l₂.eraseP p
| .slnil => Sublist.refl _
| .cons a s => by
by_cases h : p a <;> simp [h]
exacts [s.eraseP.trans (eraseP_sublist _), s.eraseP.cons _]
| .cons₂ a s => by
by_cases h : p a <;> simp [h]
exacts [s, s.eraseP]
theorem mem_of_mem_eraseP {l : List α} : a ∈ l.eraseP p → a ∈ l := (eraseP_subset _ ·)
@[simp] theorem mem_eraseP_of_neg {l : List α} (pa : ¬p a) : a ∈ l.eraseP p ↔ a ∈ l := by
refine ⟨mem_of_mem_eraseP, fun al => ?_⟩
match exists_or_eq_self_of_eraseP p l with
| .inl h => rw [h]; assumption
| .inr ⟨c, l₁, l₂, h₁, h₂, h₃, h₄⟩ =>
rw [h₄]; rw [h₃] at al
have : a ≠ c := fun h => (h ▸ pa).elim h₂
simp [this] at al; simp [al]
theorem eraseP_map (f : β → α) : ∀ (l : List β), (map f l).eraseP p = map f (l.eraseP (p ∘ f))
| [] => rfl
| b::l => by by_cases h : p (f b) <;> simp [h, eraseP_map f l, eraseP_cons_of_pos]
@[simp] theorem extractP_eq_find?_eraseP
(l : List α) : extractP p l = (find? p l, eraseP p l) := by
let rec go (acc) : ∀ xs, l = acc.data ++ xs →
extractP.go p l xs acc = (xs.find? p, acc.data ++ xs.eraseP p)
| [] => fun h => by simp [extractP.go, find?, eraseP, h]
| x::xs => by
simp [extractP.go, find?, eraseP]; cases p x <;> simp
· intro h; rw [go _ xs]; {simp}; simp [h]
exact go #[] _ rfl
@[simp] theorem filter_sublist {p : α → Bool} : ∀ (l : List α), filter p l <+ l
| [] => .slnil
| a :: l => by rw [filter]; split <;> simp [Sublist.cons, Sublist.cons₂, filter_sublist l]
theorem length_filter_le (p : α → Bool) (l : List α) :
(l.filter p).length ≤ l.length := (filter_sublist _).length_le
theorem length_filterMap_le (f : α → Option β) (l : List α) :
(filterMap f l).length ≤ l.length := by
rw [← length_map _ some, map_filterMap_some_eq_filter_map_is_some, ← length_map _ f]
apply length_filter_le
protected theorem Sublist.filterMap (f : α → Option β) (s : l₁ <+ l₂) :
filterMap f l₁ <+ filterMap f l₂ := by
induction s <;> simp <;> split <;> simp [*, cons, cons₂]
theorem Sublist.filter (p : α → Bool) {l₁ l₂} (s : l₁ <+ l₂) : filter p l₁ <+ filter p l₂ := by
rw [← filterMap_eq_filter]; apply s.filterMap
@[simp]
theorem filter_eq_self {l} : filter p l = l ↔ ∀ a ∈ l, p a := by
induction l with simp
| cons a l ih =>
cases h : p a <;> simp [*]
intro h; exact Nat.lt_irrefl _ (h ▸ length_filter_le p l)
@[simp]
theorem filter_length_eq_length {l} : (filter p l).length = l.length ↔ ∀ a ∈ l, p a :=
Iff.trans ⟨l.filter_sublist.eq_of_length, congrArg length⟩ filter_eq_self
@[simp] theorem findIdx_nil {α : Type _} (p : α → Bool) : [].findIdx p = 0 := rfl
theorem findIdx_cons (p : α → Bool) (b : α) (l : List α) :
(b :: l).findIdx p = bif p b then 0 else (l.findIdx p) + 1 := by
cases H : p b with
| true => simp [H, findIdx, findIdx.go]
| false => simp [H, findIdx, findIdx.go, findIdx_go_succ]
where
findIdx_go_succ (p : α → Bool) (l : List α) (n : Nat) :
List.findIdx.go p l (n + 1) = (findIdx.go p l n) + 1 := by
cases l with
| nil => unfold findIdx.go; exact Nat.succ_eq_add_one n
| cons head tail =>
unfold findIdx.go
cases p head <;> simp only [cond_false, cond_true]
exact findIdx_go_succ p tail (n + 1)
theorem findIdx_of_get?_eq_some {xs : List α} (w : xs.get? (xs.findIdx p) = some y) : p y := by
induction xs with
| nil => simp_all
| cons x xs ih => by_cases h : p x <;> simp_all [findIdx_cons]
theorem findIdx_get {xs : List α} {w : xs.findIdx p < xs.length} :
p (xs.get ⟨xs.findIdx p, w⟩) :=
xs.findIdx_of_get?_eq_some (get?_eq_get w)
theorem findIdx_lt_length_of_exists {xs : List α} (h : ∃ x ∈ xs, p x) :
xs.findIdx p < xs.length := by
induction xs with
| nil => simp_all
| cons x xs ih =>
by_cases p x
· simp_all only [forall_exists_index, and_imp, mem_cons, exists_eq_or_imp, true_or,
findIdx_cons, cond_true, length_cons]
apply Nat.succ_pos
· simp_all [findIdx_cons]
refine Nat.succ_lt_succ ?_
obtain ⟨x', m', h'⟩ := h
exact ih x' m' h'
theorem findIdx_get?_eq_get_of_exists {xs : List α} (h : ∃ x ∈ xs, p x) :
xs.get? (xs.findIdx p) = some (xs.get ⟨xs.findIdx p, xs.findIdx_lt_length_of_exists h⟩) :=
get?_eq_get (findIdx_lt_length_of_exists h)
@[simp] theorem findIdx?_nil : ([] : List α).findIdx? p i = none := rfl
@[simp] theorem findIdx?_cons :
(x :: xs).findIdx? p i = if p x then some i else findIdx? p xs (i + 1) := rfl
@[simp] theorem findIdx?_succ :
(xs : List α).findIdx? p (i+1) = (xs.findIdx? p i).map fun i => i + 1 := by
induction xs generalizing i with simp
| cons _ _ _ => split <;> simp_all
theorem findIdx?_eq_some_iff (xs : List α) (p : α → Bool) :
xs.findIdx? p = some i ↔ (xs.take (i + 1)).map p = replicate i false ++ [true] := by
induction xs generalizing i with
| nil => simp
| cons x xs ih =>
simp only [findIdx?_cons, Nat.zero_add, findIdx?_succ, take_succ_cons, map_cons]
split <;> cases i <;> simp_all
theorem findIdx?_of_eq_some {xs : List α} {p : α → Bool} (w : xs.findIdx? p = some i) :
match xs.get? i with | some a => p a | none => false := by
induction xs generalizing i with
| nil => simp_all
| cons x xs ih =>
simp_all only [findIdx?_cons, Nat.zero_add, findIdx?_succ]
split at w <;> cases i <;> simp_all
theorem findIdx?_of_eq_none {xs : List α} {p : α → Bool} (w : xs.findIdx? p = none) :
∀ i, match xs.get? i with | some a => ¬ p a | none => true := by
intro i
induction xs generalizing i with
| nil => simp_all
| cons x xs ih =>
simp_all only [Bool.not_eq_true, findIdx?_cons, Nat.zero_add, findIdx?_succ]
cases i with
| zero =>
split at w <;> simp_all
| succ i =>
simp only [get?_cons_succ]
apply ih
split at w <;> simp_all
@[simp] theorem findIdx?_append :
(xs ++ ys : List α).findIdx? p =
(xs.findIdx? p <|> (ys.findIdx? p).map fun i => i + xs.length) := by
induction xs with simp
| cons _ _ _ => split <;> simp_all [Option.map_orElse, Option.map_map]; rfl
@[simp] theorem findIdx?_replicate :
(replicate n a).findIdx? p = if 0 < n ∧ p a then some 0 else none := by
induction n with
| zero => simp
| succ n ih =>
simp only [replicate, findIdx?_cons, Nat.zero_add, findIdx?_succ, Nat.zero_lt_succ, true_and]
split <;> simp_all
theorem Pairwise.sublist : l₁ <+ l₂ → l₂.Pairwise R → l₁.Pairwise R
| .slnil, h => h
| .cons _ s, .cons _ h₂ => h₂.sublist s
| .cons₂ _ s, .cons h₁ h₂ => (h₂.sublist s).cons fun _ h => h₁ _ (s.subset h)
theorem pairwise_map {l : List α} :
(l.map f).Pairwise R ↔ l.Pairwise fun a b => R (f a) (f b) := by
induction l
· simp
· simp only [map, pairwise_cons, forall_mem_map_iff, *]
theorem pairwise_append {l₁ l₂ : List α} :
(l₁ ++ l₂).Pairwise R ↔ l₁.Pairwise R ∧ l₂.Pairwise R ∧ ∀ a ∈ l₁, ∀ b ∈ l₂, R a b := by
induction l₁ <;> simp [*, or_imp, forall_and, and_assoc, and_left_comm]
| .lake/packages/batteries/Batteries/Data/List/Lemmas.lean | 756 | 758 | theorem pairwise_reverse {l : List α} :
l.reverse.Pairwise R ↔ l.Pairwise (fun a b => R b a) := by |
induction l <;> simp [*, pairwise_append, and_comm]
|
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.Analysis.SumIntegralComparisons
import Mathlib.NumberTheory.Harmonic.Defs
| Mathlib/NumberTheory/Harmonic/Bounds.lean | 17 | 24 | theorem log_add_one_le_harmonic (n : ℕ) :
Real.log ↑(n+1) ≤ harmonic n := by |
calc _ = ∫ x in (1:ℕ)..↑(n+1), x⁻¹ := ?_
_ ≤ ∑ d ∈ Finset.Icc 1 n, (d:ℝ)⁻¹ := ?_
_ = harmonic n := ?_
· rw [Nat.cast_one, integral_inv (by simp [(show ¬ (1 : ℝ) ≤ 0 by norm_num)]), div_one]
· exact (inv_antitoneOn_Icc_right <| by norm_num).integral_le_sum_Ico (Nat.le_add_left 1 n)
· simp only [harmonic_eq_sum_Icc, Rat.cast_sum, Rat.cast_inv, Rat.cast_natCast]
|
import Mathlib.Algebra.MvPolynomial.Derivation
import Mathlib.Algebra.MvPolynomial.Variables
#align_import data.mv_polynomial.pderiv from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
universe u v
namespace MvPolynomial
open Set Function Finsupp
variable {R : Type u} {σ : Type v} {a a' a₁ a₂ : R} {s : σ →₀ ℕ}
section PDeriv
variable [CommSemiring R]
def pderiv (i : σ) : Derivation R (MvPolynomial σ R) (MvPolynomial σ R) :=
letI := Classical.decEq σ
mkDerivation R <| Pi.single i 1
#align mv_polynomial.pderiv MvPolynomial.pderiv
theorem pderiv_def [DecidableEq σ] (i : σ) : pderiv i = mkDerivation R (Pi.single i 1) := by
unfold pderiv; congr!
#align mv_polynomial.pderiv_def MvPolynomial.pderiv_def
@[simp]
theorem pderiv_monomial {i : σ} :
pderiv i (monomial s a) = monomial (s - single i 1) (a * s i) := by
classical
simp only [pderiv_def, mkDerivation_monomial, Finsupp.smul_sum, smul_eq_mul, ← smul_mul_assoc,
← (monomial _).map_smul]
refine (Finset.sum_eq_single i (fun j _ hne => ?_) fun hi => ?_).trans ?_
· simp [Pi.single_eq_of_ne hne]
· rw [Finsupp.not_mem_support_iff] at hi; simp [hi]
· simp
#align mv_polynomial.pderiv_monomial MvPolynomial.pderiv_monomial
theorem pderiv_C {i : σ} : pderiv i (C a) = 0 :=
derivation_C _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.pderiv_C MvPolynomial.pderiv_C
theorem pderiv_one {i : σ} : pderiv i (1 : MvPolynomial σ R) = 0 := pderiv_C
#align mv_polynomial.pderiv_one MvPolynomial.pderiv_one
@[simp]
theorem pderiv_X [DecidableEq σ] (i j : σ) :
pderiv i (X j : MvPolynomial σ R) = Pi.single (f := fun j => _) i 1 j := by
rw [pderiv_def, mkDerivation_X]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.pderiv_X MvPolynomial.pderiv_X
@[simp]
theorem pderiv_X_self (i : σ) : pderiv i (X i : MvPolynomial σ R) = 1 := by classical simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.pderiv_X_self MvPolynomial.pderiv_X_self
@[simp]
theorem pderiv_X_of_ne {i j : σ} (h : j ≠ i) : pderiv i (X j : MvPolynomial σ R) = 0 := by
classical simp [h]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.pderiv_X_of_ne MvPolynomial.pderiv_X_of_ne
theorem pderiv_eq_zero_of_not_mem_vars {i : σ} {f : MvPolynomial σ R} (h : i ∉ f.vars) :
pderiv i f = 0 :=
derivation_eq_zero_of_forall_mem_vars fun _ hj => pderiv_X_of_ne <| ne_of_mem_of_not_mem hj h
#align mv_polynomial.pderiv_eq_zero_of_not_mem_vars MvPolynomial.pderiv_eq_zero_of_not_mem_vars
theorem pderiv_monomial_single {i : σ} {n : ℕ} : pderiv i (monomial (single i n) a) =
monomial (single i (n - 1)) (a * n) := by simp
#align mv_polynomial.pderiv_monomial_single MvPolynomial.pderiv_monomial_single
theorem pderiv_mul {i : σ} {f g : MvPolynomial σ R} :
pderiv i (f * g) = pderiv i f * g + f * pderiv i g := by
simp only [(pderiv i).leibniz f g, smul_eq_mul, mul_comm, add_comm]
#align mv_polynomial.pderiv_mul MvPolynomial.pderiv_mul
theorem pderiv_pow {i : σ} {f : MvPolynomial σ R} {n : ℕ} :
pderiv i (f ^ n) = n * f ^ (n - 1) * pderiv i f := by
rw [(pderiv i).leibniz_pow f n, nsmul_eq_mul, smul_eq_mul, mul_assoc]
-- @[simp] -- Porting note (#10618): simp can prove this
| Mathlib/Algebra/MvPolynomial/PDeriv.lean | 125 | 126 | theorem pderiv_C_mul {f : MvPolynomial σ R} {i : σ} : pderiv i (C a * f) = C a * pderiv i f := by |
rw [C_mul', Derivation.map_smul, C_mul']
|
import Mathlib.Algebra.Group.Defs
import Mathlib.Logic.Relation
#align_import algebra.homology.complex_shape from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23"
noncomputable section
open scoped Classical
@[ext]
structure ComplexShape (ι : Type*) where
Rel : ι → ι → Prop
next_eq : ∀ {i j j'}, Rel i j → Rel i j' → j = j'
prev_eq : ∀ {i i' j}, Rel i j → Rel i' j → i = i'
#align complex_shape ComplexShape
#align complex_shape.ext ComplexShape.ext
#align complex_shape.ext_iff ComplexShape.ext_iff
namespace ComplexShape
variable {ι : Type*}
@[simps]
def refl (ι : Type*) : ComplexShape ι where
Rel i j := i = j
next_eq w w' := w.symm.trans w'
prev_eq w w' := w.trans w'.symm
#align complex_shape.refl ComplexShape.refl
#align complex_shape.refl_rel ComplexShape.refl_Rel
@[simps]
def symm (c : ComplexShape ι) : ComplexShape ι where
Rel i j := c.Rel j i
next_eq w w' := c.prev_eq w w'
prev_eq w w' := c.next_eq w w'
#align complex_shape.symm ComplexShape.symm
#align complex_shape.symm_rel ComplexShape.symm_Rel
@[simp]
| Mathlib/Algebra/Homology/ComplexShape.lean | 100 | 102 | theorem symm_symm (c : ComplexShape ι) : c.symm.symm = c := by |
ext
simp
|
import Mathlib.CategoryTheory.Limits.KanExtension
import Mathlib.Topology.Category.TopCat.Opens
import Mathlib.CategoryTheory.Adjunction.Unique
import Mathlib.Topology.Sheaves.Init
import Mathlib.Data.Set.Subsingleton
#align_import topology.sheaves.presheaf from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8"
set_option autoImplicit true
universe w v u
open CategoryTheory TopologicalSpace Opposite
variable (C : Type u) [Category.{v} C]
namespace TopCat
-- Porting note(#5171): was @[nolint has_nonempty_instance]
def Presheaf (X : TopCat.{w}) : Type max u v w :=
(Opens X)ᵒᵖ ⥤ C
set_option linter.uppercaseLean3 false in
#align Top.presheaf TopCat.Presheaf
instance (X : TopCat.{w}) : Category (Presheaf.{w, v, u} C X) :=
inferInstanceAs (Category ((Opens X)ᵒᵖ ⥤ C : Type max u v w))
variable {C}
namespace Presheaf
@[simp] theorem comp_app {P Q R : Presheaf C X} (f : P ⟶ Q) (g : Q ⟶ R) :
(f ≫ g).app U = f.app U ≫ g.app U := rfl
-- Porting note (#10756): added an `ext` lemma,
-- since `NatTrans.ext` can not see through the definition of `Presheaf`.
-- See https://github.com/leanprover-community/mathlib4/issues/5229
@[ext]
lemma ext {P Q : Presheaf C X} {f g : P ⟶ Q} (w : ∀ U : Opens X, f.app (op U) = g.app (op U)) :
f = g := by
apply NatTrans.ext
ext U
induction U with | _ U => ?_
apply w
attribute [local instance] CategoryTheory.ConcreteCategory.hasCoeToSort
CategoryTheory.ConcreteCategory.instFunLike
macro "sheaf_restrict" : attr =>
`(attr|aesop safe 50 apply (rule_sets := [$(Lean.mkIdent `Restrict):ident]))
attribute [sheaf_restrict] bot_le le_top le_refl inf_le_left inf_le_right
le_sup_left le_sup_right
macro (name := restrict_tac) "restrict_tac" c:Aesop.tactic_clause* : tactic =>
`(tactic| first | assumption |
aesop $c*
(config := { terminal := true
assumptionTransparency := .reducible
enableSimp := false })
(rule_sets := [-default, -builtin, $(Lean.mkIdent `Restrict):ident]))
macro (name := restrict_tac?) "restrict_tac?" c:Aesop.tactic_clause* : tactic =>
`(tactic|
aesop? $c*
(config := { terminal := true
assumptionTransparency := .reducible
enableSimp := false
maxRuleApplications := 300 })
(rule_sets := [-default, -builtin, $(Lean.mkIdent `Restrict):ident]))
attribute[aesop 10% (rule_sets := [Restrict])] le_trans
attribute[aesop safe destruct (rule_sets := [Restrict])] Eq.trans_le
attribute[aesop safe -50 (rule_sets := [Restrict])] Aesop.BuiltinRules.assumption
example {X} [CompleteLattice X] (v : Nat → X) (w x y z : X) (e : v 0 = v 1) (_ : v 1 = v 2)
(h₀ : v 1 ≤ x) (_ : x ≤ z ⊓ w) (h₂ : x ≤ y ⊓ z) : v 0 ≤ y := by
restrict_tac
def restrict {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C] {F : X.Presheaf C}
{V : Opens X} (x : F.obj (op V)) {U : Opens X} (h : U ⟶ V) : F.obj (op U) :=
F.map h.op x
set_option linter.uppercaseLean3 false in
#align Top.presheaf.restrict TopCat.Presheaf.restrict
scoped[AlgebraicGeometry] infixl:80 " |_ₕ " => TopCat.Presheaf.restrict
scoped[AlgebraicGeometry] notation:80 x " |_ₗ " U " ⟪" e "⟫ " =>
@TopCat.Presheaf.restrict _ _ _ _ _ _ x U (@homOfLE (Opens _) _ U _ e)
open AlgebraicGeometry
abbrev restrictOpen {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C] {F : X.Presheaf C}
{V : Opens X} (x : F.obj (op V)) (U : Opens X)
(e : U ≤ V := by restrict_tac) :
F.obj (op U) :=
x |_ₗ U ⟪e⟫
set_option linter.uppercaseLean3 false in
#align Top.presheaf.restrict_open TopCat.Presheaf.restrictOpen
scoped[AlgebraicGeometry] infixl:80 " |_ " => TopCat.Presheaf.restrictOpen
-- Porting note: linter tells this lemma is no going to be picked up by the simplifier, hence
-- `@[simp]` is removed
theorem restrict_restrict {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C]
{F : X.Presheaf C} {U V W : Opens X} (e₁ : U ≤ V) (e₂ : V ≤ W) (x : F.obj (op W)) :
x |_ V |_ U = x |_ U := by
delta restrictOpen restrict
rw [← comp_apply, ← Functor.map_comp]
rfl
set_option linter.uppercaseLean3 false in
#align Top.presheaf.restrict_restrict TopCat.Presheaf.restrict_restrict
-- Porting note: linter tells this lemma is no going to be picked up by the simplifier, hence
-- `@[simp]` is removed
theorem map_restrict {X : TopCat} {C : Type*} [Category C] [ConcreteCategory C]
{F G : X.Presheaf C} (e : F ⟶ G) {U V : Opens X} (h : U ≤ V) (x : F.obj (op V)) :
e.app _ (x |_ U) = e.app _ x |_ U := by
delta restrictOpen restrict
rw [← comp_apply, NatTrans.naturality, comp_apply]
set_option linter.uppercaseLean3 false in
#align Top.presheaf.map_restrict TopCat.Presheaf.map_restrict
def pushforwardObj {X Y : TopCat.{w}} (f : X ⟶ Y) (ℱ : X.Presheaf C) : Y.Presheaf C :=
(Opens.map f).op ⋙ ℱ
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_obj TopCat.Presheaf.pushforwardObj
infixl:80 " _* " => pushforwardObj
@[simp]
theorem pushforwardObj_obj {X Y : TopCat.{w}} (f : X ⟶ Y) (ℱ : X.Presheaf C) (U : (Opens Y)ᵒᵖ) :
(f _* ℱ).obj U = ℱ.obj ((Opens.map f).op.obj U) :=
rfl
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_obj_obj TopCat.Presheaf.pushforwardObj_obj
@[simp]
theorem pushforwardObj_map {X Y : TopCat.{w}} (f : X ⟶ Y) (ℱ : X.Presheaf C) {U V : (Opens Y)ᵒᵖ}
(i : U ⟶ V) : (f _* ℱ).map i = ℱ.map ((Opens.map f).op.map i) :=
rfl
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_obj_map TopCat.Presheaf.pushforwardObj_map
def pushforwardEq {X Y : TopCat.{w}} {f g : X ⟶ Y} (h : f = g) (ℱ : X.Presheaf C) :
f _* ℱ ≅ g _* ℱ :=
isoWhiskerRight (NatIso.op (Opens.mapIso f g h).symm) ℱ
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_eq TopCat.Presheaf.pushforwardEq
theorem pushforward_eq' {X Y : TopCat.{w}} {f g : X ⟶ Y} (h : f = g) (ℱ : X.Presheaf C) :
f _* ℱ = g _* ℱ := by rw [h]
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_eq' TopCat.Presheaf.pushforward_eq'
@[simp]
theorem pushforwardEq_hom_app {X Y : TopCat.{w}} {f g : X ⟶ Y}
(h : f = g) (ℱ : X.Presheaf C) (U) :
(pushforwardEq h ℱ).hom.app U =
ℱ.map (by dsimp [Functor.op]; apply Quiver.Hom.op; apply eqToHom; rw [h]) := by
simp [pushforwardEq]
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_eq_hom_app TopCat.Presheaf.pushforwardEq_hom_app
theorem pushforward_eq'_hom_app {X Y : TopCat.{w}} {f g : X ⟶ Y} (h : f = g) (ℱ : X.Presheaf C)
(U) : NatTrans.app (eqToHom (pushforward_eq' h ℱ)) U = ℱ.map (eqToHom (by rw [h])) := by
rw [eqToHom_app, eqToHom_map]
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_eq'_hom_app TopCat.Presheaf.pushforward_eq'_hom_app
-- Porting note: This lemma is promoted to a higher priority to short circuit the simplifier
@[simp (high)]
theorem pushforwardEq_rfl {X Y : TopCat.{w}} (f : X ⟶ Y) (ℱ : X.Presheaf C) (U) :
(pushforwardEq (rfl : f = f) ℱ).hom.app (op U) = 𝟙 _ := by
dsimp [pushforwardEq]
simp
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_eq_rfl TopCat.Presheaf.pushforwardEq_rfl
theorem pushforwardEq_eq {X Y : TopCat.{w}} {f g : X ⟶ Y} (h₁ h₂ : f = g) (ℱ : X.Presheaf C) :
ℱ.pushforwardEq h₁ = ℱ.pushforwardEq h₂ :=
rfl
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward_eq_eq TopCat.Presheaf.pushforwardEq_eq
namespace Pushforward
variable {X : TopCat.{w}} (ℱ : X.Presheaf C)
def id : 𝟙 X _* ℱ ≅ ℱ :=
isoWhiskerRight (NatIso.op (Opens.mapId X).symm) ℱ ≪≫ Functor.leftUnitor _
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward.id TopCat.Presheaf.Pushforward.id
theorem id_eq : 𝟙 X _* ℱ = ℱ := by
unfold pushforwardObj
rw [Opens.map_id_eq]
erw [Functor.id_comp]
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward.id_eq TopCat.Presheaf.Pushforward.id_eq
-- Porting note: This lemma is promoted to a higher priority to short circuit the simplifier
@[simp (high)]
theorem id_hom_app' (U) (p) : (id ℱ).hom.app (op ⟨U, p⟩) = ℱ.map (𝟙 (op ⟨U, p⟩)) := by
dsimp [id]
simp
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward.id_hom_app' TopCat.Presheaf.Pushforward.id_hom_app'
-- Porting note:
-- the proof below could be `by aesop_cat` if
-- https://github.com/JLimperg/aesop/issues/59
-- can be resolved, and we add:
attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opposite
attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens
@[simp]
theorem id_hom_app (U) : (id ℱ).hom.app U = ℱ.map (eqToHom (Opens.op_map_id_obj U)) := by
-- was `tidy`, see porting note above.
induction U
apply id_hom_app'
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward.id_hom_app TopCat.Presheaf.Pushforward.id_hom_app
@[simp]
theorem id_inv_app' (U) (p) : (id ℱ).inv.app (op ⟨U, p⟩) = ℱ.map (𝟙 (op ⟨U, p⟩)) := by
dsimp [id]
simp [CategoryStruct.comp]
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward.id_inv_app' TopCat.Presheaf.Pushforward.id_inv_app'
def comp {Y Z : TopCat.{w}} (f : X ⟶ Y) (g : Y ⟶ Z) : (f ≫ g) _* ℱ ≅ g _* (f _* ℱ) :=
isoWhiskerRight (NatIso.op (Opens.mapComp f g).symm) ℱ
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward.comp TopCat.Presheaf.Pushforward.comp
theorem comp_eq {Y Z : TopCat.{w}} (f : X ⟶ Y) (g : Y ⟶ Z) : (f ≫ g) _* ℱ = g _* (f _* ℱ) :=
rfl
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward.comp_eq TopCat.Presheaf.Pushforward.comp_eq
@[simp]
theorem comp_hom_app {Y Z : TopCat.{w}} (f : X ⟶ Y) (g : Y ⟶ Z) (U) :
(comp ℱ f g).hom.app U = 𝟙 _ := by simp [comp]
set_option linter.uppercaseLean3 false in
#align Top.presheaf.pushforward.comp_hom_app TopCat.Presheaf.Pushforward.comp_hom_app
@[simp]
| Mathlib/Topology/Sheaves/Presheaf.lean | 299 | 300 | theorem comp_inv_app {Y Z : TopCat.{w}} (f : X ⟶ Y) (g : Y ⟶ Z) (U) :
(comp ℱ f g).inv.app U = 𝟙 _ := by | simp [comp]
|
import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure
import Mathlib.FieldTheory.Galois
universe u v w
open scoped Classical Polynomial
open Polynomial
variable (k : Type u) [Field k] (K : Type v) [Field K]
class IsSepClosed : Prop where
splits_of_separable : ∀ p : k[X], p.Separable → (p.Splits <| RingHom.id k)
instance IsSepClosed.of_isAlgClosed [IsAlgClosed k] : IsSepClosed k :=
⟨fun p _ ↦ IsAlgClosed.splits p⟩
variable {k} {K}
theorem IsSepClosed.splits_codomain [IsSepClosed K] {f : k →+* K}
(p : k[X]) (h : p.Separable) : p.Splits f := by
convert IsSepClosed.splits_of_separable (p.map f) (Separable.map h); simp [splits_map_iff]
theorem IsSepClosed.splits_domain [IsSepClosed k] {f : k →+* K}
(p : k[X]) (h : p.Separable) : p.Splits f :=
Polynomial.splits_of_splits_id _ <| IsSepClosed.splits_of_separable _ h
namespace IsSepClosed
theorem exists_root [IsSepClosed k] (p : k[X]) (hp : p.degree ≠ 0) (hsep : p.Separable) :
∃ x, IsRoot p x :=
exists_root_of_splits _ (IsSepClosed.splits_of_separable p hsep) hp
variable (k) in
instance (priority := 100) isAlgClosed_of_perfectField [IsSepClosed k] [PerfectField k] :
IsAlgClosed k :=
IsAlgClosed.of_exists_root k fun p _ h ↦ exists_root p ((degree_pos_of_irreducible h).ne')
(PerfectField.separable_of_irreducible h)
| Mathlib/FieldTheory/IsSepClosed.lean | 104 | 116 | theorem exists_pow_nat_eq [IsSepClosed k] (x : k) (n : ℕ) [hn : NeZero (n : k)] :
∃ z, z ^ n = x := by |
have hn' : 0 < n := Nat.pos_of_ne_zero fun h => by
rw [h, Nat.cast_zero] at hn
exact hn.out rfl
have : degree (X ^ n - C x) ≠ 0 := by
rw [degree_X_pow_sub_C hn' x]
exact (WithBot.coe_lt_coe.2 hn').ne'
by_cases hx : x = 0
· exact ⟨0, by rw [hx, pow_eq_zero_iff hn'.ne']⟩
· obtain ⟨z, hz⟩ := exists_root _ this <| separable_X_pow_sub_C x hn.out hx
use z
simpa [eval_C, eval_X, eval_pow, eval_sub, IsRoot.def, sub_eq_zero] using hz
|
import Mathlib.Data.Nat.Defs
import Mathlib.Tactic.GCongr.Core
import Mathlib.Tactic.Common
import Mathlib.Tactic.Monotonicity.Attr
#align_import data.nat.factorial.basic from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105"
namespace Nat
def factorial : ℕ → ℕ
| 0 => 1
| succ n => succ n * factorial n
#align nat.factorial Nat.factorial
scoped notation:10000 n "!" => Nat.factorial n
section Factorial
variable {m n : ℕ}
@[simp] theorem factorial_zero : 0! = 1 :=
rfl
#align nat.factorial_zero Nat.factorial_zero
theorem factorial_succ (n : ℕ) : (n + 1)! = (n + 1) * n ! :=
rfl
#align nat.factorial_succ Nat.factorial_succ
@[simp] theorem factorial_one : 1! = 1 :=
rfl
#align nat.factorial_one Nat.factorial_one
@[simp] theorem factorial_two : 2! = 2 :=
rfl
#align nat.factorial_two Nat.factorial_two
theorem mul_factorial_pred (hn : 0 < n) : n * (n - 1)! = n ! :=
Nat.sub_add_cancel (Nat.succ_le_of_lt hn) ▸ rfl
#align nat.mul_factorial_pred Nat.mul_factorial_pred
theorem factorial_pos : ∀ n, 0 < n !
| 0 => Nat.zero_lt_one
| succ n => Nat.mul_pos (succ_pos _) (factorial_pos n)
#align nat.factorial_pos Nat.factorial_pos
theorem factorial_ne_zero (n : ℕ) : n ! ≠ 0 :=
ne_of_gt (factorial_pos _)
#align nat.factorial_ne_zero Nat.factorial_ne_zero
theorem factorial_dvd_factorial {m n} (h : m ≤ n) : m ! ∣ n ! := by
induction' h with n _ ih
· exact Nat.dvd_refl _
· exact Nat.dvd_trans ih (Nat.dvd_mul_left _ _)
#align nat.factorial_dvd_factorial Nat.factorial_dvd_factorial
theorem dvd_factorial : ∀ {m n}, 0 < m → m ≤ n → m ∣ n !
| succ _, _, _, h => Nat.dvd_trans (Nat.dvd_mul_right _ _) (factorial_dvd_factorial h)
#align nat.dvd_factorial Nat.dvd_factorial
@[mono, gcongr]
theorem factorial_le {m n} (h : m ≤ n) : m ! ≤ n ! :=
le_of_dvd (factorial_pos _) (factorial_dvd_factorial h)
#align nat.factorial_le Nat.factorial_le
theorem factorial_mul_pow_le_factorial : ∀ {m n : ℕ}, m ! * (m + 1) ^ n ≤ (m + n)!
| m, 0 => by simp
| m, n + 1 => by
rw [← Nat.add_assoc, factorial_succ, Nat.mul_comm (_ + 1), Nat.pow_succ, ← Nat.mul_assoc]
exact Nat.mul_le_mul factorial_mul_pow_le_factorial (succ_le_succ (le_add_right _ _))
#align nat.factorial_mul_pow_le_factorial Nat.factorial_mul_pow_le_factorial
theorem factorial_lt (hn : 0 < n) : n ! < m ! ↔ n < m := by
refine ⟨fun h => not_le.mp fun hmn => Nat.not_le_of_lt h (factorial_le hmn), fun h => ?_⟩
have : ∀ {n}, 0 < n → n ! < (n + 1)! := by
intro k hk
rw [factorial_succ, succ_mul, Nat.lt_add_left_iff_pos]
exact Nat.mul_pos hk k.factorial_pos
induction' h with k hnk ih generalizing hn
· exact this hn
· exact lt_trans (ih hn) $ this <| lt_trans hn <| lt_of_succ_le hnk
#align nat.factorial_lt Nat.factorial_lt
@[gcongr]
lemma factorial_lt_of_lt {m n : ℕ} (hn : 0 < n) (h : n < m) : n ! < m ! := (factorial_lt hn).mpr h
@[simp] lemma one_lt_factorial : 1 < n ! ↔ 1 < n := factorial_lt Nat.one_pos
#align nat.one_lt_factorial Nat.one_lt_factorial
@[simp]
theorem factorial_eq_one : n ! = 1 ↔ n ≤ 1 := by
constructor
· intro h
rw [← not_lt, ← one_lt_factorial, h]
apply lt_irrefl
· rintro (_|_|_) <;> rfl
#align nat.factorial_eq_one Nat.factorial_eq_one
theorem factorial_inj (hn : 1 < n) : n ! = m ! ↔ n = m := by
refine ⟨fun h => ?_, congr_arg _⟩
obtain hnm | rfl | hnm := lt_trichotomy n m
· rw [← factorial_lt <| lt_of_succ_lt hn, h] at hnm
cases lt_irrefl _ hnm
· rfl
rw [← one_lt_factorial, h, one_lt_factorial] at hn
rw [← factorial_lt <| lt_of_succ_lt hn, h] at hnm
cases lt_irrefl _ hnm
#align nat.factorial_inj Nat.factorial_inj
theorem factorial_inj' (h : 1 < n ∨ 1 < m) : n ! = m ! ↔ n = m := by
obtain hn|hm := h
· exact factorial_inj hn
· rw [eq_comm, factorial_inj hm, eq_comm]
theorem self_le_factorial : ∀ n : ℕ, n ≤ n !
| 0 => Nat.zero_le _
| k + 1 => Nat.le_mul_of_pos_right _ (Nat.one_le_of_lt k.factorial_pos)
#align nat.self_le_factorial Nat.self_le_factorial
theorem lt_factorial_self {n : ℕ} (hi : 3 ≤ n) : n < n ! := by
have : 0 < n := by omega
have hn : 1 < pred n := le_pred_of_lt (succ_le_iff.mp hi)
rw [← succ_pred_eq_of_pos ‹0 < n›, factorial_succ]
exact (Nat.lt_mul_iff_one_lt_right (pred n).succ_pos).2
((Nat.lt_of_lt_of_le hn (self_le_factorial _)))
#align nat.lt_factorial_self Nat.lt_factorial_self
theorem add_factorial_succ_lt_factorial_add_succ {i : ℕ} (n : ℕ) (hi : 2 ≤ i) :
i + (n + 1)! < (i + n + 1)! := by
rw [factorial_succ (i + _), Nat.add_mul, Nat.one_mul]
have := (i + n).self_le_factorial
refine Nat.add_lt_add_of_lt_of_le (Nat.lt_of_le_of_lt ?_ ((Nat.lt_mul_iff_one_lt_right ?_).2 ?_))
(factorial_le ?_) <;> omega
#align nat.add_factorial_succ_lt_factorial_add_succ Nat.add_factorial_succ_lt_factorial_add_succ
| Mathlib/Data/Nat/Factorial/Basic.lean | 158 | 163 | theorem add_factorial_lt_factorial_add {i n : ℕ} (hi : 2 ≤ i) (hn : 1 ≤ n) :
i + n ! < (i + n)! := by |
cases hn
· rw [factorial_one]
exact lt_factorial_self (succ_le_succ hi)
exact add_factorial_succ_lt_factorial_add_succ _ hi
|
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine
import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle
#align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open scoped EuclideanGeometry
open scoped Real
open scoped RealInnerProductSpace
namespace Orientation
open FiniteDimensional
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
variable [hd2 : Fact (finrank ℝ V = 2)] (o : Orientation ℝ V (Fin 2))
theorem oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two
theorem oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x + y) y = Real.arccos (‖y‖ / ‖x + y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two h
#align orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two
theorem oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle x (x + y) = Real.arcsin (‖y‖ / ‖x + y‖) := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_add_eq_arcsin_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two
theorem oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x + y) y = Real.arcsin (‖x‖ / ‖x + y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two h
#align orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two
theorem oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle x (x + y) = Real.arctan (‖y‖ / ‖x‖) := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_add_eq_arctan_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h) (o.left_ne_zero_of_oangle_eq_pi_div_two h)]
#align orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two
theorem oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x + y) y = Real.arctan (‖x‖ / ‖y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two h
#align orientation.oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two
| Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean | 91 | 96 | theorem cos_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.cos (o.oangle x (x + y)) = ‖x‖ / ‖x + y‖ := by |
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
InnerProductGeometry.cos_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
|
import Mathlib.MeasureTheory.Measure.GiryMonad
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.MeasureTheory.Integral.Lebesgue
import Mathlib.MeasureTheory.Measure.OpenPos
#align_import measure_theory.constructions.prod.basic from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d"
noncomputable section
open scoped Classical
open Topology ENNReal MeasureTheory
open Set Function Real ENNReal
open MeasureTheory MeasurableSpace MeasureTheory.Measure
open TopologicalSpace hiding generateFrom
open Filter hiding prod_eq map
variable {α α' β β' γ E : Type*}
theorem IsPiSystem.prod {C : Set (Set α)} {D : Set (Set β)} (hC : IsPiSystem C)
(hD : IsPiSystem D) : IsPiSystem (image2 (· ×ˢ ·) C D) := by
rintro _ ⟨s₁, hs₁, t₁, ht₁, rfl⟩ _ ⟨s₂, hs₂, t₂, ht₂, rfl⟩ hst
rw [prod_inter_prod] at hst ⊢; rw [prod_nonempty_iff] at hst
exact mem_image2_of_mem (hC _ hs₁ _ hs₂ hst.1) (hD _ ht₁ _ ht₂ hst.2)
#align is_pi_system.prod IsPiSystem.prod
theorem IsCountablySpanning.prod {C : Set (Set α)} {D : Set (Set β)} (hC : IsCountablySpanning C)
(hD : IsCountablySpanning D) : IsCountablySpanning (image2 (· ×ˢ ·) C D) := by
rcases hC, hD with ⟨⟨s, h1s, h2s⟩, t, h1t, h2t⟩
refine ⟨fun n => s n.unpair.1 ×ˢ t n.unpair.2, fun n => mem_image2_of_mem (h1s _) (h1t _), ?_⟩
rw [iUnion_unpair_prod, h2s, h2t, univ_prod_univ]
#align is_countably_spanning.prod IsCountablySpanning.prod
variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β']
variable [MeasurableSpace γ]
variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ}
variable [NormedAddCommGroup E]
theorem generateFrom_prod_eq {α β} {C : Set (Set α)} {D : Set (Set β)} (hC : IsCountablySpanning C)
(hD : IsCountablySpanning D) :
@Prod.instMeasurableSpace _ _ (generateFrom C) (generateFrom D) =
generateFrom (image2 (· ×ˢ ·) C D) := by
apply le_antisymm
· refine sup_le ?_ ?_ <;> rw [comap_generateFrom] <;> apply generateFrom_le <;>
rintro _ ⟨s, hs, rfl⟩
· rcases hD with ⟨t, h1t, h2t⟩
rw [← prod_univ, ← h2t, prod_iUnion]
apply MeasurableSet.iUnion
intro n
apply measurableSet_generateFrom
exact ⟨s, hs, t n, h1t n, rfl⟩
· rcases hC with ⟨t, h1t, h2t⟩
rw [← univ_prod, ← h2t, iUnion_prod_const]
apply MeasurableSet.iUnion
rintro n
apply measurableSet_generateFrom
exact mem_image2_of_mem (h1t n) hs
· apply generateFrom_le
rintro _ ⟨s, hs, t, ht, rfl⟩
dsimp only
rw [prod_eq]
apply (measurable_fst _).inter (measurable_snd _)
· exact measurableSet_generateFrom hs
· exact measurableSet_generateFrom ht
#align generate_from_prod_eq generateFrom_prod_eq
theorem generateFrom_eq_prod {C : Set (Set α)} {D : Set (Set β)} (hC : generateFrom C = ‹_›)
(hD : generateFrom D = ‹_›) (h2C : IsCountablySpanning C) (h2D : IsCountablySpanning D) :
generateFrom (image2 (· ×ˢ ·) C D) = Prod.instMeasurableSpace := by
rw [← hC, ← hD, generateFrom_prod_eq h2C h2D]
#align generate_from_eq_prod generateFrom_eq_prod
theorem generateFrom_prod :
generateFrom (image2 (· ×ˢ ·) { s : Set α | MeasurableSet s } { t : Set β | MeasurableSet t }) =
Prod.instMeasurableSpace :=
generateFrom_eq_prod generateFrom_measurableSet generateFrom_measurableSet
isCountablySpanning_measurableSet isCountablySpanning_measurableSet
#align generate_from_prod generateFrom_prod
theorem isPiSystem_prod :
IsPiSystem (image2 (· ×ˢ ·) { s : Set α | MeasurableSet s } { t : Set β | MeasurableSet t }) :=
isPiSystem_measurableSet.prod isPiSystem_measurableSet
#align is_pi_system_prod isPiSystem_prod
theorem measurable_measure_prod_mk_left_finite [IsFiniteMeasure ν] {s : Set (α × β)}
(hs : MeasurableSet s) : Measurable fun x => ν (Prod.mk x ⁻¹' s) := by
refine induction_on_inter (C := fun s => Measurable fun x => ν (Prod.mk x ⁻¹' s))
generateFrom_prod.symm isPiSystem_prod ?_ ?_ ?_ ?_ hs
· simp
· rintro _ ⟨s, hs, t, _, rfl⟩
simp only [mk_preimage_prod_right_eq_if, measure_if]
exact measurable_const.indicator hs
· intro t ht h2t
simp_rw [preimage_compl, measure_compl (measurable_prod_mk_left ht) (measure_ne_top ν _)]
exact h2t.const_sub _
· intro f h1f h2f h3f
simp_rw [preimage_iUnion]
have : ∀ b, ν (⋃ i, Prod.mk b ⁻¹' f i) = ∑' i, ν (Prod.mk b ⁻¹' f i) := fun b =>
measure_iUnion (fun i j hij => Disjoint.preimage _ (h1f hij)) fun i =>
measurable_prod_mk_left (h2f i)
simp_rw [this]
apply Measurable.ennreal_tsum h3f
#align measurable_measure_prod_mk_left_finite measurable_measure_prod_mk_left_finite
theorem measurable_measure_prod_mk_left [SFinite ν] {s : Set (α × β)} (hs : MeasurableSet s) :
Measurable fun x => ν (Prod.mk x ⁻¹' s) := by
rw [← sum_sFiniteSeq ν]
simp_rw [Measure.sum_apply_of_countable]
exact Measurable.ennreal_tsum (fun i ↦ measurable_measure_prod_mk_left_finite hs)
#align measurable_measure_prod_mk_left measurable_measure_prod_mk_left
theorem measurable_measure_prod_mk_right {μ : Measure α} [SFinite μ] {s : Set (α × β)}
(hs : MeasurableSet s) : Measurable fun y => μ ((fun x => (x, y)) ⁻¹' s) :=
measurable_measure_prod_mk_left (measurableSet_swap_iff.mpr hs)
#align measurable_measure_prod_mk_right measurable_measure_prod_mk_right
theorem Measurable.map_prod_mk_left [SFinite ν] :
Measurable fun x : α => map (Prod.mk x) ν := by
apply measurable_of_measurable_coe; intro s hs
simp_rw [map_apply measurable_prod_mk_left hs]
exact measurable_measure_prod_mk_left hs
#align measurable.map_prod_mk_left Measurable.map_prod_mk_left
theorem Measurable.map_prod_mk_right {μ : Measure α} [SFinite μ] :
Measurable fun y : β => map (fun x : α => (x, y)) μ := by
apply measurable_of_measurable_coe; intro s hs
simp_rw [map_apply measurable_prod_mk_right hs]
exact measurable_measure_prod_mk_right hs
#align measurable.map_prod_mk_right Measurable.map_prod_mk_right
theorem MeasurableEmbedding.prod_mk {α β γ δ : Type*} {mα : MeasurableSpace α}
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ} {mδ : MeasurableSpace δ} {f : α → β}
{g : γ → δ} (hg : MeasurableEmbedding g) (hf : MeasurableEmbedding f) :
MeasurableEmbedding fun x : γ × α => (g x.1, f x.2) := by
have h_inj : Function.Injective fun x : γ × α => (g x.fst, f x.snd) := by
intro x y hxy
rw [← @Prod.mk.eta _ _ x, ← @Prod.mk.eta _ _ y]
simp only [Prod.mk.inj_iff] at hxy ⊢
exact ⟨hg.injective hxy.1, hf.injective hxy.2⟩
refine ⟨h_inj, ?_, ?_⟩
· exact (hg.measurable.comp measurable_fst).prod_mk (hf.measurable.comp measurable_snd)
· -- Induction using the π-system of rectangles
refine fun s hs =>
@MeasurableSpace.induction_on_inter _
(fun s => MeasurableSet ((fun x : γ × α => (g x.fst, f x.snd)) '' s)) _ _
generateFrom_prod.symm isPiSystem_prod ?_ ?_ ?_ ?_ _ hs
· simp only [Set.image_empty, MeasurableSet.empty]
· rintro t ⟨t₁, ht₁, t₂, ht₂, rfl⟩
rw [← Set.prod_image_image_eq]
exact (hg.measurableSet_image.mpr ht₁).prod (hf.measurableSet_image.mpr ht₂)
· intro t _ ht_m
rw [← Set.range_diff_image h_inj, ← Set.prod_range_range_eq]
exact
MeasurableSet.diff (MeasurableSet.prod hg.measurableSet_range hf.measurableSet_range) ht_m
· intro g _ _ hg
simp_rw [Set.image_iUnion]
exact MeasurableSet.iUnion hg
#align measurable_embedding.prod_mk MeasurableEmbedding.prod_mk
lemma MeasurableEmbedding.prod_mk_left {β γ : Type*} [MeasurableSingletonClass α]
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
(x : α) {f : γ → β} (hf : MeasurableEmbedding f) :
MeasurableEmbedding (fun y ↦ (x, f y)) where
injective := by
intro y y'
simp only [Prod.mk.injEq, true_and]
exact fun h ↦ hf.injective h
measurable := Measurable.prod_mk measurable_const hf.measurable
measurableSet_image' := by
intro s hs
convert (MeasurableSet.singleton x).prod (hf.measurableSet_image.mpr hs)
ext x
simp
lemma measurableEmbedding_prod_mk_left [MeasurableSingletonClass α] (x : α) :
MeasurableEmbedding (Prod.mk x : β → α × β) :=
MeasurableEmbedding.prod_mk_left x MeasurableEmbedding.id
lemma MeasurableEmbedding.prod_mk_right {β γ : Type*} [MeasurableSingletonClass α]
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
{f : γ → β} (hf : MeasurableEmbedding f) (x : α) :
MeasurableEmbedding (fun y ↦ (f y, x)) where
injective := by
intro y y'
simp only [Prod.mk.injEq, and_true]
exact fun h ↦ hf.injective h
measurable := Measurable.prod_mk hf.measurable measurable_const
measurableSet_image' := by
intro s hs
convert (hf.measurableSet_image.mpr hs).prod (MeasurableSet.singleton x)
ext x
simp
lemma measurableEmbedding_prod_mk_right [MeasurableSingletonClass α] (x : α) :
MeasurableEmbedding (fun y ↦ (y, x) : β → β × α) :=
MeasurableEmbedding.prod_mk_right MeasurableEmbedding.id x
| Mathlib/MeasureTheory/Constructions/Prod/Basic.lean | 274 | 291 | theorem Measurable.lintegral_prod_right' [SFinite ν] :
∀ {f : α × β → ℝ≥0∞}, Measurable f → Measurable fun x => ∫⁻ y, f (x, y) ∂ν := by |
have m := @measurable_prod_mk_left
refine Measurable.ennreal_induction (P := fun f => Measurable fun (x : α) => ∫⁻ y, f (x, y) ∂ν)
?_ ?_ ?_
· intro c s hs
simp only [← indicator_comp_right]
suffices Measurable fun x => c * ν (Prod.mk x ⁻¹' s) by simpa [lintegral_indicator _ (m hs)]
exact (measurable_measure_prod_mk_left hs).const_mul _
· rintro f g - hf - h2f h2g
simp only [Pi.add_apply]
conv => enter [1, x]; erw [lintegral_add_left (hf.comp m)]
exact h2f.add h2g
· intro f hf h2f h3f
have := measurable_iSup h3f
have : ∀ x, Monotone fun n y => f n (x, y) := fun x i j hij y => h2f hij (x, y)
conv => enter [1, x]; erw [lintegral_iSup (fun n => (hf n).comp m) (this x)]
assumption
|
import Mathlib.Algebra.BigOperators.GroupWithZero.Finset
import Mathlib.Data.Finite.Card
import Mathlib.GroupTheory.Finiteness
import Mathlib.GroupTheory.GroupAction.Quotient
#align_import group_theory.index from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
namespace Subgroup
open Cardinal
variable {G : Type*} [Group G] (H K L : Subgroup G)
@[to_additive "The index of a subgroup as a natural number,
and returns 0 if the index is infinite."]
noncomputable def index : ℕ :=
Nat.card (G ⧸ H)
#align subgroup.index Subgroup.index
#align add_subgroup.index AddSubgroup.index
@[to_additive "The relative index of a subgroup as a natural number,
and returns 0 if the relative index is infinite."]
noncomputable def relindex : ℕ :=
(H.subgroupOf K).index
#align subgroup.relindex Subgroup.relindex
#align add_subgroup.relindex AddSubgroup.relindex
@[to_additive]
theorem index_comap_of_surjective {G' : Type*} [Group G'] {f : G' →* G}
(hf : Function.Surjective f) : (H.comap f).index = H.index := by
letI := QuotientGroup.leftRel H
letI := QuotientGroup.leftRel (H.comap f)
have key : ∀ x y : G', Setoid.r x y ↔ Setoid.r (f x) (f y) := by
simp only [QuotientGroup.leftRel_apply]
exact fun x y => iff_of_eq (congr_arg (· ∈ H) (by rw [f.map_mul, f.map_inv]))
refine Cardinal.toNat_congr (Equiv.ofBijective (Quotient.map' f fun x y => (key x y).mp) ⟨?_, ?_⟩)
· simp_rw [← Quotient.eq''] at key
refine Quotient.ind' fun x => ?_
refine Quotient.ind' fun y => ?_
exact (key x y).mpr
· refine Quotient.ind' fun x => ?_
obtain ⟨y, hy⟩ := hf x
exact ⟨y, (Quotient.map'_mk'' f _ y).trans (congr_arg Quotient.mk'' hy)⟩
#align subgroup.index_comap_of_surjective Subgroup.index_comap_of_surjective
#align add_subgroup.index_comap_of_surjective AddSubgroup.index_comap_of_surjective
@[to_additive]
theorem index_comap {G' : Type*} [Group G'] (f : G' →* G) :
(H.comap f).index = H.relindex f.range :=
Eq.trans (congr_arg index (by rfl))
((H.subgroupOf f.range).index_comap_of_surjective f.rangeRestrict_surjective)
#align subgroup.index_comap Subgroup.index_comap
#align add_subgroup.index_comap AddSubgroup.index_comap
@[to_additive]
theorem relindex_comap {G' : Type*} [Group G'] (f : G' →* G) (K : Subgroup G') :
relindex (comap f H) K = relindex H (map f K) := by
rw [relindex, subgroupOf, comap_comap, index_comap, ← f.map_range, K.subtype_range]
#align subgroup.relindex_comap Subgroup.relindex_comap
#align add_subgroup.relindex_comap AddSubgroup.relindex_comap
variable {H K L}
@[to_additive relindex_mul_index]
theorem relindex_mul_index (h : H ≤ K) : H.relindex K * K.index = H.index :=
((mul_comm _ _).trans (Cardinal.toNat_mul _ _).symm).trans
(congr_arg Cardinal.toNat (Equiv.cardinal_eq (quotientEquivProdOfLE h))).symm
#align subgroup.relindex_mul_index Subgroup.relindex_mul_index
#align add_subgroup.relindex_mul_index AddSubgroup.relindex_mul_index
@[to_additive]
theorem index_dvd_of_le (h : H ≤ K) : K.index ∣ H.index :=
dvd_of_mul_left_eq (H.relindex K) (relindex_mul_index h)
#align subgroup.index_dvd_of_le Subgroup.index_dvd_of_le
#align add_subgroup.index_dvd_of_le AddSubgroup.index_dvd_of_le
@[to_additive]
theorem relindex_dvd_index_of_le (h : H ≤ K) : H.relindex K ∣ H.index :=
dvd_of_mul_right_eq K.index (relindex_mul_index h)
#align subgroup.relindex_dvd_index_of_le Subgroup.relindex_dvd_index_of_le
#align add_subgroup.relindex_dvd_index_of_le AddSubgroup.relindex_dvd_index_of_le
@[to_additive]
theorem relindex_subgroupOf (hKL : K ≤ L) :
(H.subgroupOf L).relindex (K.subgroupOf L) = H.relindex K :=
((index_comap (H.subgroupOf L) (inclusion hKL)).trans (congr_arg _ (inclusion_range hKL))).symm
#align subgroup.relindex_subgroup_of Subgroup.relindex_subgroupOf
#align add_subgroup.relindex_add_subgroup_of AddSubgroup.relindex_addSubgroupOf
variable (H K L)
@[to_additive relindex_mul_relindex]
theorem relindex_mul_relindex (hHK : H ≤ K) (hKL : K ≤ L) :
H.relindex K * K.relindex L = H.relindex L := by
rw [← relindex_subgroupOf hKL]
exact relindex_mul_index fun x hx => hHK hx
#align subgroup.relindex_mul_relindex Subgroup.relindex_mul_relindex
#align add_subgroup.relindex_mul_relindex AddSubgroup.relindex_mul_relindex
@[to_additive]
theorem inf_relindex_right : (H ⊓ K).relindex K = H.relindex K := by
rw [relindex, relindex, inf_subgroupOf_right]
#align subgroup.inf_relindex_right Subgroup.inf_relindex_right
#align add_subgroup.inf_relindex_right AddSubgroup.inf_relindex_right
@[to_additive]
theorem inf_relindex_left : (H ⊓ K).relindex H = K.relindex H := by
rw [inf_comm, inf_relindex_right]
#align subgroup.inf_relindex_left Subgroup.inf_relindex_left
#align add_subgroup.inf_relindex_left AddSubgroup.inf_relindex_left
@[to_additive relindex_inf_mul_relindex]
theorem relindex_inf_mul_relindex : H.relindex (K ⊓ L) * K.relindex L = (H ⊓ K).relindex L := by
rw [← inf_relindex_right H (K ⊓ L), ← inf_relindex_right K L, ← inf_relindex_right (H ⊓ K) L,
inf_assoc, relindex_mul_relindex (H ⊓ (K ⊓ L)) (K ⊓ L) L inf_le_right inf_le_right]
#align subgroup.relindex_inf_mul_relindex Subgroup.relindex_inf_mul_relindex
#align add_subgroup.relindex_inf_mul_relindex AddSubgroup.relindex_inf_mul_relindex
@[to_additive (attr := simp)]
theorem relindex_sup_right [K.Normal] : K.relindex (H ⊔ K) = K.relindex H :=
Nat.card_congr (QuotientGroup.quotientInfEquivProdNormalQuotient H K).toEquiv.symm
#align subgroup.relindex_sup_right Subgroup.relindex_sup_right
#align add_subgroup.relindex_sup_right AddSubgroup.relindex_sup_right
@[to_additive (attr := simp)]
theorem relindex_sup_left [K.Normal] : K.relindex (K ⊔ H) = K.relindex H := by
rw [sup_comm, relindex_sup_right]
#align subgroup.relindex_sup_left Subgroup.relindex_sup_left
#align add_subgroup.relindex_sup_left AddSubgroup.relindex_sup_left
@[to_additive]
theorem relindex_dvd_index_of_normal [H.Normal] : H.relindex K ∣ H.index :=
relindex_sup_right K H ▸ relindex_dvd_index_of_le le_sup_right
#align subgroup.relindex_dvd_index_of_normal Subgroup.relindex_dvd_index_of_normal
#align add_subgroup.relindex_dvd_index_of_normal AddSubgroup.relindex_dvd_index_of_normal
variable {H K}
@[to_additive]
theorem relindex_dvd_of_le_left (hHK : H ≤ K) : K.relindex L ∣ H.relindex L :=
inf_of_le_left hHK ▸ dvd_of_mul_left_eq _ (relindex_inf_mul_relindex _ _ _)
#align subgroup.relindex_dvd_of_le_left Subgroup.relindex_dvd_of_le_left
#align add_subgroup.relindex_dvd_of_le_left AddSubgroup.relindex_dvd_of_le_left
@[to_additive "An additive subgroup has index two if and only if there exists `a` such that
for all `b`, exactly one of `b + a` and `b` belong to `H`."]
theorem index_eq_two_iff : H.index = 2 ↔ ∃ a, ∀ b, Xor' (b * a ∈ H) (b ∈ H) := by
simp only [index, Nat.card_eq_two_iff' ((1 : G) : G ⧸ H), ExistsUnique, inv_mem_iff,
QuotientGroup.exists_mk, QuotientGroup.forall_mk, Ne, QuotientGroup.eq, mul_one,
xor_iff_iff_not]
refine exists_congr fun a =>
⟨fun ha b => ⟨fun hba hb => ?_, fun hb => ?_⟩, fun ha => ⟨?_, fun b hb => ?_⟩⟩
· exact ha.1 ((mul_mem_cancel_left hb).1 hba)
· exact inv_inv b ▸ ha.2 _ (mt (inv_mem_iff (x := b)).1 hb)
· rw [← inv_mem_iff (x := a), ← ha, inv_mul_self]
exact one_mem _
· rwa [ha, inv_mem_iff (x := b)]
#align subgroup.index_eq_two_iff Subgroup.index_eq_two_iff
#align add_subgroup.index_eq_two_iff AddSubgroup.index_eq_two_iff
@[to_additive]
theorem mul_mem_iff_of_index_two (h : H.index = 2) {a b : G} : a * b ∈ H ↔ (a ∈ H ↔ b ∈ H) := by
by_cases ha : a ∈ H; · simp only [ha, true_iff_iff, mul_mem_cancel_left ha]
by_cases hb : b ∈ H; · simp only [hb, iff_true_iff, mul_mem_cancel_right hb]
simp only [ha, hb, iff_self_iff, iff_true_iff]
rcases index_eq_two_iff.1 h with ⟨c, hc⟩
refine (hc _).or.resolve_left ?_
rwa [mul_assoc, mul_mem_cancel_right ((hc _).or.resolve_right hb)]
#align subgroup.mul_mem_iff_of_index_two Subgroup.mul_mem_iff_of_index_two
#align add_subgroup.add_mem_iff_of_index_two AddSubgroup.add_mem_iff_of_index_two
@[to_additive]
theorem mul_self_mem_of_index_two (h : H.index = 2) (a : G) : a * a ∈ H := by
rw [mul_mem_iff_of_index_two h]
#align subgroup.mul_self_mem_of_index_two Subgroup.mul_self_mem_of_index_two
#align add_subgroup.add_self_mem_of_index_two AddSubgroup.add_self_mem_of_index_two
@[to_additive two_smul_mem_of_index_two]
theorem sq_mem_of_index_two (h : H.index = 2) (a : G) : a ^ 2 ∈ H :=
(pow_two a).symm ▸ mul_self_mem_of_index_two h a
#align subgroup.sq_mem_of_index_two Subgroup.sq_mem_of_index_two
#align add_subgroup.two_smul_mem_of_index_two AddSubgroup.two_smul_mem_of_index_two
variable (H K)
-- Porting note: had to replace `Cardinal.toNat_eq_one_iff_unique` with `Nat.card_eq_one_iff_unique`
@[to_additive (attr := simp)]
theorem index_top : (⊤ : Subgroup G).index = 1 :=
Nat.card_eq_one_iff_unique.mpr ⟨QuotientGroup.subsingleton_quotient_top, ⟨1⟩⟩
#align subgroup.index_top Subgroup.index_top
#align add_subgroup.index_top AddSubgroup.index_top
@[to_additive (attr := simp)]
theorem index_bot : (⊥ : Subgroup G).index = Nat.card G :=
Cardinal.toNat_congr QuotientGroup.quotientBot.toEquiv
#align subgroup.index_bot Subgroup.index_bot
#align add_subgroup.index_bot AddSubgroup.index_bot
@[to_additive]
theorem index_bot_eq_card [Fintype G] : (⊥ : Subgroup G).index = Fintype.card G :=
index_bot.trans Nat.card_eq_fintype_card
#align subgroup.index_bot_eq_card Subgroup.index_bot_eq_card
#align add_subgroup.index_bot_eq_card AddSubgroup.index_bot_eq_card
@[to_additive (attr := simp)]
theorem relindex_top_left : (⊤ : Subgroup G).relindex H = 1 :=
index_top
#align subgroup.relindex_top_left Subgroup.relindex_top_left
#align add_subgroup.relindex_top_left AddSubgroup.relindex_top_left
@[to_additive (attr := simp)]
theorem relindex_top_right : H.relindex ⊤ = H.index := by
rw [← relindex_mul_index (show H ≤ ⊤ from le_top), index_top, mul_one]
#align subgroup.relindex_top_right Subgroup.relindex_top_right
#align add_subgroup.relindex_top_right AddSubgroup.relindex_top_right
@[to_additive (attr := simp)]
theorem relindex_bot_left : (⊥ : Subgroup G).relindex H = Nat.card H := by
rw [relindex, bot_subgroupOf, index_bot]
#align subgroup.relindex_bot_left Subgroup.relindex_bot_left
#align add_subgroup.relindex_bot_left AddSubgroup.relindex_bot_left
@[to_additive]
theorem relindex_bot_left_eq_card [Fintype H] : (⊥ : Subgroup G).relindex H = Fintype.card H :=
H.relindex_bot_left.trans Nat.card_eq_fintype_card
#align subgroup.relindex_bot_left_eq_card Subgroup.relindex_bot_left_eq_card
#align add_subgroup.relindex_bot_left_eq_card AddSubgroup.relindex_bot_left_eq_card
@[to_additive (attr := simp)]
theorem relindex_bot_right : H.relindex ⊥ = 1 := by rw [relindex, subgroupOf_bot_eq_top, index_top]
#align subgroup.relindex_bot_right Subgroup.relindex_bot_right
#align add_subgroup.relindex_bot_right AddSubgroup.relindex_bot_right
@[to_additive (attr := simp)]
theorem relindex_self : H.relindex H = 1 := by rw [relindex, subgroupOf_self, index_top]
#align subgroup.relindex_self Subgroup.relindex_self
#align add_subgroup.relindex_self AddSubgroup.relindex_self
@[to_additive]
theorem index_ker {H} [Group H] (f : G →* H) : f.ker.index = Nat.card (Set.range f) := by
rw [← MonoidHom.comap_bot, index_comap, relindex_bot_left]
rfl
#align subgroup.index_ker Subgroup.index_ker
#align add_subgroup.index_ker AddSubgroup.index_ker
@[to_additive]
theorem relindex_ker {H} [Group H] (f : G →* H) (K : Subgroup G) :
f.ker.relindex K = Nat.card (f '' K) := by
rw [← MonoidHom.comap_bot, relindex_comap, relindex_bot_left]
rfl
#align subgroup.relindex_ker Subgroup.relindex_ker
#align add_subgroup.relindex_ker AddSubgroup.relindex_ker
@[to_additive (attr := simp) card_mul_index]
theorem card_mul_index : Nat.card H * H.index = Nat.card G := by
rw [← relindex_bot_left, ← index_bot]
exact relindex_mul_index bot_le
#align subgroup.card_mul_index Subgroup.card_mul_index
#align add_subgroup.card_mul_index AddSubgroup.card_mul_index
@[to_additive]
theorem nat_card_dvd_of_injective {G H : Type*} [Group G] [Group H] (f : G →* H)
(hf : Function.Injective f) : Nat.card G ∣ Nat.card H := by
rw [Nat.card_congr (MonoidHom.ofInjective hf).toEquiv]
exact Dvd.intro f.range.index f.range.card_mul_index
#align subgroup.nat_card_dvd_of_injective Subgroup.nat_card_dvd_of_injective
#align add_subgroup.nat_card_dvd_of_injective AddSubgroup.nat_card_dvd_of_injective
@[to_additive]
theorem nat_card_dvd_of_le (hHK : H ≤ K) : Nat.card H ∣ Nat.card K :=
nat_card_dvd_of_injective (inclusion hHK) (inclusion_injective hHK)
#align subgroup.nat_card_dvd_of_le Subgroup.nat_card_dvd_of_le
#align add_subgroup.nat_card_dvd_of_le AddSubgroup.nat_card_dvd_of_le
@[to_additive]
theorem nat_card_dvd_of_surjective {G H : Type*} [Group G] [Group H] (f : G →* H)
(hf : Function.Surjective f) : Nat.card H ∣ Nat.card G := by
rw [← Nat.card_congr (QuotientGroup.quotientKerEquivOfSurjective f hf).toEquiv]
exact Dvd.intro_left (Nat.card f.ker) f.ker.card_mul_index
#align subgroup.nat_card_dvd_of_surjective Subgroup.nat_card_dvd_of_surjective
#align add_subgroup.nat_card_dvd_of_surjective AddSubgroup.nat_card_dvd_of_surjective
@[to_additive]
theorem card_dvd_of_surjective {G H : Type*} [Group G] [Group H] [Fintype G] [Fintype H]
(f : G →* H) (hf : Function.Surjective f) : Fintype.card H ∣ Fintype.card G := by
simp only [← Nat.card_eq_fintype_card, nat_card_dvd_of_surjective f hf]
#align subgroup.card_dvd_of_surjective Subgroup.card_dvd_of_surjective
#align add_subgroup.card_dvd_of_surjective AddSubgroup.card_dvd_of_surjective
@[to_additive]
theorem index_map {G' : Type*} [Group G'] (f : G →* G') :
(H.map f).index = (H ⊔ f.ker).index * f.range.index := by
rw [← comap_map_eq, index_comap, relindex_mul_index (H.map_le_range f)]
#align subgroup.index_map Subgroup.index_map
#align add_subgroup.index_map AddSubgroup.index_map
@[to_additive]
theorem index_map_dvd {G' : Type*} [Group G'] {f : G →* G'} (hf : Function.Surjective f) :
(H.map f).index ∣ H.index := by
rw [index_map, f.range_top_of_surjective hf, index_top, mul_one]
exact index_dvd_of_le le_sup_left
#align subgroup.index_map_dvd Subgroup.index_map_dvd
#align add_subgroup.index_map_dvd AddSubgroup.index_map_dvd
@[to_additive]
theorem dvd_index_map {G' : Type*} [Group G'] {f : G →* G'} (hf : f.ker ≤ H) :
H.index ∣ (H.map f).index := by
rw [index_map, sup_of_le_left hf]
apply dvd_mul_right
#align subgroup.dvd_index_map Subgroup.dvd_index_map
#align add_subgroup.dvd_index_map AddSubgroup.dvd_index_map
@[to_additive]
theorem index_map_eq {G' : Type*} [Group G'] {f : G →* G'} (hf1 : Function.Surjective f)
(hf2 : f.ker ≤ H) : (H.map f).index = H.index :=
Nat.dvd_antisymm (H.index_map_dvd hf1) (H.dvd_index_map hf2)
#align subgroup.index_map_eq Subgroup.index_map_eq
#align add_subgroup.index_map_eq AddSubgroup.index_map_eq
@[to_additive]
theorem index_eq_card [Fintype (G ⧸ H)] : H.index = Fintype.card (G ⧸ H) :=
Nat.card_eq_fintype_card
#align subgroup.index_eq_card Subgroup.index_eq_card
#align add_subgroup.index_eq_card AddSubgroup.index_eq_card
@[to_additive index_mul_card]
theorem index_mul_card [Fintype G] [hH : Fintype H] :
H.index * Fintype.card H = Fintype.card G := by
rw [← relindex_bot_left_eq_card, ← index_bot_eq_card, mul_comm];
exact relindex_mul_index bot_le
#align subgroup.index_mul_card Subgroup.index_mul_card
#align add_subgroup.index_mul_card AddSubgroup.index_mul_card
@[to_additive]
| Mathlib/GroupTheory/Index.lean | 370 | 371 | theorem index_dvd_card [Fintype G] : H.index ∣ Fintype.card G := by |
classical exact ⟨Fintype.card H, H.index_mul_card.symm⟩
|
import Mathlib.Topology.MetricSpace.PseudoMetric
open Filter
open scoped Uniformity Topology
universe u v w
variable {α : Type u} {β : Type v} {X ι : Type*}
variable [PseudoMetricSpace α]
theorem Metric.complete_of_convergent_controlled_sequences (B : ℕ → Real) (hB : ∀ n, 0 < B n)
(H : ∀ u : ℕ → α, (∀ N n m : ℕ, N ≤ n → N ≤ m → dist (u n) (u m) < B N) →
∃ x, Tendsto u atTop (𝓝 x)) :
CompleteSpace α :=
UniformSpace.complete_of_convergent_controlled_sequences
(fun n => { p : α × α | dist p.1 p.2 < B n }) (fun n => dist_mem_uniformity <| hB n) H
#align metric.complete_of_convergent_controlled_sequences Metric.complete_of_convergent_controlled_sequences
theorem Metric.complete_of_cauchySeq_tendsto :
(∀ u : ℕ → α, CauchySeq u → ∃ a, Tendsto u atTop (𝓝 a)) → CompleteSpace α :=
EMetric.complete_of_cauchySeq_tendsto
#align metric.complete_of_cauchy_seq_tendsto Metric.complete_of_cauchySeq_tendsto
section CauchySeq
variable [Nonempty β] [SemilatticeSup β]
-- Porting note: @[nolint ge_or_gt] doesn't exist
theorem Metric.cauchySeq_iff {u : β → α} :
CauchySeq u ↔ ∀ ε > 0, ∃ N, ∀ m ≥ N, ∀ n ≥ N, dist (u m) (u n) < ε :=
uniformity_basis_dist.cauchySeq_iff
#align metric.cauchy_seq_iff Metric.cauchySeq_iff
theorem Metric.cauchySeq_iff' {u : β → α} :
CauchySeq u ↔ ∀ ε > 0, ∃ N, ∀ n ≥ N, dist (u n) (u N) < ε :=
uniformity_basis_dist.cauchySeq_iff'
#align metric.cauchy_seq_iff' Metric.cauchySeq_iff'
-- see Note [nolint_ge]
-- Porting note: no attr @[nolint ge_or_gt]
theorem Metric.uniformCauchySeqOn_iff {γ : Type*} {F : β → γ → α} {s : Set γ} :
UniformCauchySeqOn F atTop s ↔ ∀ ε > (0 : ℝ),
∃ N : β, ∀ m ≥ N, ∀ n ≥ N, ∀ x ∈ s, dist (F m x) (F n x) < ε := by
constructor
· intro h ε hε
let u := { a : α × α | dist a.fst a.snd < ε }
have hu : u ∈ 𝓤 α := Metric.mem_uniformity_dist.mpr ⟨ε, hε, by simp [u]⟩
rw [← @Filter.eventually_atTop_prod_self' _ _ _ fun m =>
∀ x ∈ s, dist (F m.fst x) (F m.snd x) < ε]
specialize h u hu
rw [prod_atTop_atTop_eq] at h
exact h.mono fun n h x hx => h x hx
· intro h u hu
rcases Metric.mem_uniformity_dist.mp hu with ⟨ε, hε, hab⟩
rcases h ε hε with ⟨N, hN⟩
rw [prod_atTop_atTop_eq, eventually_atTop]
use (N, N)
intro b hb x hx
rcases hb with ⟨hbl, hbr⟩
exact hab (hN b.fst hbl.ge b.snd hbr.ge x hx)
#align metric.uniform_cauchy_seq_on_iff Metric.uniformCauchySeqOn_iff
theorem cauchySeq_of_le_tendsto_0' {s : β → α} (b : β → ℝ)
(h : ∀ n m : β, n ≤ m → dist (s n) (s m) ≤ b n) (h₀ : Tendsto b atTop (𝓝 0)) : CauchySeq s :=
Metric.cauchySeq_iff'.2 fun ε ε0 => (h₀.eventually (gt_mem_nhds ε0)).exists.imp fun N hN n hn =>
calc dist (s n) (s N) = dist (s N) (s n) := dist_comm _ _
_ ≤ b N := h _ _ hn
_ < ε := hN
#align cauchy_seq_of_le_tendsto_0' cauchySeq_of_le_tendsto_0'
theorem cauchySeq_of_le_tendsto_0 {s : β → α} (b : β → ℝ)
(h : ∀ n m N : β, N ≤ n → N ≤ m → dist (s n) (s m) ≤ b N) (h₀ : Tendsto b atTop (𝓝 0)) :
CauchySeq s :=
cauchySeq_of_le_tendsto_0' b (fun _n _m hnm => h _ _ _ le_rfl hnm) h₀
#align cauchy_seq_of_le_tendsto_0 cauchySeq_of_le_tendsto_0
theorem cauchySeq_bdd {u : ℕ → α} (hu : CauchySeq u) : ∃ R > 0, ∀ m n, dist (u m) (u n) < R := by
rcases Metric.cauchySeq_iff'.1 hu 1 zero_lt_one with ⟨N, hN⟩
rsuffices ⟨R, R0, H⟩ : ∃ R > 0, ∀ n, dist (u n) (u N) < R
· exact ⟨_, add_pos R0 R0, fun m n =>
lt_of_le_of_lt (dist_triangle_right _ _ _) (add_lt_add (H m) (H n))⟩
let R := Finset.sup (Finset.range N) fun n => nndist (u n) (u N)
refine ⟨↑R + 1, add_pos_of_nonneg_of_pos R.2 zero_lt_one, fun n => ?_⟩
rcases le_or_lt N n with h | h
· exact lt_of_lt_of_le (hN _ h) (le_add_of_nonneg_left R.2)
· have : _ ≤ R := Finset.le_sup (Finset.mem_range.2 h)
exact lt_of_le_of_lt this (lt_add_of_pos_right _ zero_lt_one)
#align cauchy_seq_bdd cauchySeq_bdd
| Mathlib/Topology/MetricSpace/Cauchy.lean | 128 | 156 | theorem cauchySeq_iff_le_tendsto_0 {s : ℕ → α} :
CauchySeq s ↔
∃ b : ℕ → ℝ,
(∀ n, 0 ≤ b n) ∧
(∀ n m N : ℕ, N ≤ n → N ≤ m → dist (s n) (s m) ≤ b N) ∧ Tendsto b atTop (𝓝 0) :=
⟨fun hs => by
/- `s` is a Cauchy sequence. The sequence `b` will be constructed by taking
the supremum of the distances between `s n` and `s m` for `n m ≥ N`.
First, we prove that all these distances are bounded, as otherwise the Sup
would not make sense. -/
let S N := (fun p : ℕ × ℕ => dist (s p.1) (s p.2)) '' { p | p.1 ≥ N ∧ p.2 ≥ N }
have hS : ∀ N, ∃ x, ∀ y ∈ S N, y ≤ x := by |
rcases cauchySeq_bdd hs with ⟨R, -, hR⟩
refine fun N => ⟨R, ?_⟩
rintro _ ⟨⟨m, n⟩, _, rfl⟩
exact le_of_lt (hR m n)
-- Prove that it bounds the distances of points in the Cauchy sequence
have ub : ∀ m n N, N ≤ m → N ≤ n → dist (s m) (s n) ≤ sSup (S N) := fun m n N hm hn =>
le_csSup (hS N) ⟨⟨_, _⟩, ⟨hm, hn⟩, rfl⟩
have S0m : ∀ n, (0 : ℝ) ∈ S n := fun n => ⟨⟨n, n⟩, ⟨le_rfl, le_rfl⟩, dist_self _⟩
have S0 := fun n => le_csSup (hS n) (S0m n)
-- Prove that it tends to `0`, by using the Cauchy property of `s`
refine ⟨fun N => sSup (S N), S0, ub, Metric.tendsto_atTop.2 fun ε ε0 => ?_⟩
refine (Metric.cauchySeq_iff.1 hs (ε / 2) (half_pos ε0)).imp fun N hN n hn => ?_
rw [Real.dist_0_eq_abs, abs_of_nonneg (S0 n)]
refine lt_of_le_of_lt (csSup_le ⟨_, S0m _⟩ ?_) (half_lt_self ε0)
rintro _ ⟨⟨m', n'⟩, ⟨hm', hn'⟩, rfl⟩
exact le_of_lt (hN _ (le_trans hn hm') _ (le_trans hn hn')),
fun ⟨b, _, b_bound, b_lim⟩ => cauchySeq_of_le_tendsto_0 b b_bound b_lim⟩
|
import Mathlib.MeasureTheory.Covering.DensityTheorem
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
#align_import measure_theory.covering.one_dim from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open Set MeasureTheory IsUnifLocDoublingMeasure Filter
open scoped Topology
namespace Real
theorem Icc_mem_vitaliFamily_at_right {x y : ℝ} (hxy : x < y) :
Icc x y ∈ (vitaliFamily (volume : Measure ℝ) 1).setsAt x := by
rw [Icc_eq_closedBall]
refine closedBall_mem_vitaliFamily_of_dist_le_mul _ ?_ (by linarith)
rw [dist_comm, Real.dist_eq, abs_of_nonneg] <;> linarith
#align real.Icc_mem_vitali_family_at_right Real.Icc_mem_vitaliFamily_at_right
theorem tendsto_Icc_vitaliFamily_right (x : ℝ) :
Tendsto (fun y => Icc x y) (𝓝[>] x) ((vitaliFamily (volume : Measure ℝ) 1).filterAt x) := by
refine (VitaliFamily.tendsto_filterAt_iff _).2 ⟨?_, ?_⟩
· filter_upwards [self_mem_nhdsWithin] with y hy using Icc_mem_vitaliFamily_at_right hy
· intro ε εpos
have : x ∈ Ico x (x + ε) := ⟨le_refl _, by linarith⟩
filter_upwards [Icc_mem_nhdsWithin_Ioi this] with y hy
rw [closedBall_eq_Icc]
exact Icc_subset_Icc (by linarith) hy.2
#align real.tendsto_Icc_vitali_family_right Real.tendsto_Icc_vitaliFamily_right
| Mathlib/MeasureTheory/Covering/OneDim.lean | 44 | 48 | theorem Icc_mem_vitaliFamily_at_left {x y : ℝ} (hxy : x < y) :
Icc x y ∈ (vitaliFamily (volume : Measure ℝ) 1).setsAt y := by |
rw [Icc_eq_closedBall]
refine closedBall_mem_vitaliFamily_of_dist_le_mul _ ?_ (by linarith)
rw [Real.dist_eq, abs_of_nonneg] <;> linarith
|
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Data.Nat.Factorial.Cast
#align_import data.nat.choose.cast from "leanprover-community/mathlib"@"bb168510ef455e9280a152e7f31673cabd3d7496"
open Nat
variable (K : Type*) [DivisionRing K] [CharZero K]
namespace Nat
theorem cast_choose {a b : ℕ} (h : a ≤ b) : (b.choose a : K) = b ! / (a ! * (b - a)!) := by
have : ∀ {n : ℕ}, (n ! : K) ≠ 0 := Nat.cast_ne_zero.2 (factorial_ne_zero _)
rw [eq_div_iff_mul_eq (mul_ne_zero this this)]
rw_mod_cast [← mul_assoc, choose_mul_factorial_mul_factorial h]
#align nat.cast_choose Nat.cast_choose
theorem cast_add_choose {a b : ℕ} : ((a + b).choose a : K) = (a + b)! / (a ! * b !) := by
rw [cast_choose K (_root_.le_add_right le_rfl), add_tsub_cancel_left]
#align nat.cast_add_choose Nat.cast_add_choose
theorem cast_choose_eq_ascPochhammer_div (a b : ℕ) :
(a.choose b : K) = (ascPochhammer K b).eval ↑(a - (b - 1)) / b ! := by
rw [eq_div_iff_mul_eq (cast_ne_zero.2 b.factorial_ne_zero : (b ! : K) ≠ 0), ← cast_mul,
mul_comm, ← descFactorial_eq_factorial_mul_choose, ← cast_descFactorial]
#align nat.cast_choose_eq_pochhammer_div Nat.cast_choose_eq_ascPochhammer_div
| Mathlib/Data/Nat/Choose/Cast.lean | 41 | 43 | theorem cast_choose_two (a : ℕ) : (a.choose 2 : K) = a * (a - 1) / 2 := by |
rw [← cast_descFactorial_two, descFactorial_eq_factorial_mul_choose, factorial_two, mul_comm,
cast_mul, cast_two, eq_div_iff_mul_eq (two_ne_zero : (2 : K) ≠ 0)]
|
import Mathlib.Topology.UniformSpace.Basic
import Mathlib.Topology.Separation
import Mathlib.Order.Filter.CountableInter
#align_import topology.G_delta from "leanprover-community/mathlib"@"b9e46fe101fc897fb2e7edaf0bf1f09ea49eb81a"
noncomputable section
open Topology TopologicalSpace Filter Encodable Set
open scoped Uniformity
variable {X Y ι : Type*} {ι' : Sort*}
set_option linter.uppercaseLean3 false
section IsGδ
variable [TopologicalSpace X]
def IsGδ (s : Set X) : Prop :=
∃ T : Set (Set X), (∀ t ∈ T, IsOpen t) ∧ T.Countable ∧ s = ⋂₀ T
#align is_Gδ IsGδ
theorem IsOpen.isGδ {s : Set X} (h : IsOpen s) : IsGδ s :=
⟨{s}, by simp [h], countable_singleton _, (Set.sInter_singleton _).symm⟩
#align is_open.is_Gδ IsOpen.isGδ
@[simp]
protected theorem IsGδ.empty : IsGδ (∅ : Set X) :=
isOpen_empty.isGδ
#align is_Gδ_empty IsGδ.empty
@[deprecated (since := "2024-02-15")] alias isGδ_empty := IsGδ.empty
@[simp]
protected theorem IsGδ.univ : IsGδ (univ : Set X) :=
isOpen_univ.isGδ
#align is_Gδ_univ IsGδ.univ
@[deprecated (since := "2024-02-15")] alias isGδ_univ := IsGδ.univ
theorem IsGδ.biInter_of_isOpen {I : Set ι} (hI : I.Countable) {f : ι → Set X}
(hf : ∀ i ∈ I, IsOpen (f i)) : IsGδ (⋂ i ∈ I, f i) :=
⟨f '' I, by rwa [forall_mem_image], hI.image _, by rw [sInter_image]⟩
#align is_Gδ_bInter_of_open IsGδ.biInter_of_isOpen
@[deprecated (since := "2024-02-15")] alias isGδ_biInter_of_isOpen := IsGδ.biInter_of_isOpen
theorem IsGδ.iInter_of_isOpen [Countable ι'] {f : ι' → Set X} (hf : ∀ i, IsOpen (f i)) :
IsGδ (⋂ i, f i) :=
⟨range f, by rwa [forall_mem_range], countable_range _, by rw [sInter_range]⟩
#align is_Gδ_Inter_of_open IsGδ.iInter_of_isOpen
@[deprecated (since := "2024-02-15")] alias isGδ_iInter_of_isOpen := IsGδ.iInter_of_isOpen
lemma isGδ_iff_eq_iInter_nat {s : Set X} :
IsGδ s ↔ ∃ (f : ℕ → Set X), (∀ n, IsOpen (f n)) ∧ s = ⋂ n, f n := by
refine ⟨?_, ?_⟩
· rintro ⟨T, hT, T_count, rfl⟩
rcases Set.eq_empty_or_nonempty T with rfl|hT
· exact ⟨fun _n ↦ univ, fun _n ↦ isOpen_univ, by simp⟩
· obtain ⟨f, hf⟩ : ∃ (f : ℕ → Set X), T = range f := Countable.exists_eq_range T_count hT
exact ⟨f, by aesop, by simp [hf]⟩
· rintro ⟨f, hf, rfl⟩
exact .iInter_of_isOpen hf
alias ⟨IsGδ.eq_iInter_nat, _⟩ := isGδ_iff_eq_iInter_nat
protected theorem IsGδ.iInter [Countable ι'] {s : ι' → Set X} (hs : ∀ i, IsGδ (s i)) :
IsGδ (⋂ i, s i) := by
choose T hTo hTc hTs using hs
obtain rfl : s = fun i => ⋂₀ T i := funext hTs
refine ⟨⋃ i, T i, ?_, countable_iUnion hTc, (sInter_iUnion _).symm⟩
simpa [@forall_swap ι'] using hTo
#align is_Gδ_Inter IsGδ.iInter
@[deprecated] alias isGδ_iInter := IsGδ.iInter
theorem IsGδ.biInter {s : Set ι} (hs : s.Countable) {t : ∀ i ∈ s, Set X}
(ht : ∀ (i) (hi : i ∈ s), IsGδ (t i hi)) : IsGδ (⋂ i ∈ s, t i ‹_›) := by
rw [biInter_eq_iInter]
haveI := hs.to_subtype
exact .iInter fun x => ht x x.2
#align is_Gδ_bInter IsGδ.biInter
@[deprecated (since := "2024-02-15")] alias isGδ_biInter := IsGδ.biInter
theorem IsGδ.sInter {S : Set (Set X)} (h : ∀ s ∈ S, IsGδ s) (hS : S.Countable) : IsGδ (⋂₀ S) := by
simpa only [sInter_eq_biInter] using IsGδ.biInter hS h
#align is_Gδ_sInter IsGδ.sInter
@[deprecated (since := "2024-02-15")] alias isGδ_sInter := IsGδ.sInter
theorem IsGδ.inter {s t : Set X} (hs : IsGδ s) (ht : IsGδ t) : IsGδ (s ∩ t) := by
rw [inter_eq_iInter]
exact .iInter (Bool.forall_bool.2 ⟨ht, hs⟩)
#align is_Gδ.inter IsGδ.inter
theorem IsGδ.union {s t : Set X} (hs : IsGδ s) (ht : IsGδ t) : IsGδ (s ∪ t) := by
rcases hs with ⟨S, Sopen, Scount, rfl⟩
rcases ht with ⟨T, Topen, Tcount, rfl⟩
rw [sInter_union_sInter]
refine .biInter_of_isOpen (Scount.prod Tcount) ?_
rintro ⟨a, b⟩ ⟨ha, hb⟩
exact (Sopen a ha).union (Topen b hb)
#align is_Gδ.union IsGδ.union
theorem IsGδ.sUnion {S : Set (Set X)} (hS : S.Finite) (h : ∀ s ∈ S, IsGδ s) : IsGδ (⋃₀ S) := by
induction S, hS using Set.Finite.dinduction_on with
| H0 => simp
| H1 _ _ ih =>
simp only [forall_mem_insert, sUnion_insert] at *
exact h.1.union (ih h.2)
theorem IsGδ.biUnion {s : Set ι} (hs : s.Finite) {f : ι → Set X} (h : ∀ i ∈ s, IsGδ (f i)) :
IsGδ (⋃ i ∈ s, f i) := by
rw [← sUnion_image]
exact .sUnion (hs.image _) (forall_mem_image.2 h)
#align is_Gδ_bUnion IsGδ.biUnion
@[deprecated (since := "2024-02-15")]
alias isGδ_biUnion := IsGδ.biUnion
theorem IsGδ.iUnion [Finite ι'] {f : ι' → Set X} (h : ∀ i, IsGδ (f i)) : IsGδ (⋃ i, f i) :=
.sUnion (finite_range _) <| forall_mem_range.2 h
| Mathlib/Topology/GDelta.lean | 173 | 178 | theorem IsClosed.isGδ {X : Type*} [UniformSpace X] [IsCountablyGenerated (𝓤 X)] {s : Set X}
(hs : IsClosed s) : IsGδ s := by |
rcases (@uniformity_hasBasis_open X _).exists_antitone_subbasis with ⟨U, hUo, hU, -⟩
rw [← hs.closure_eq, ← hU.biInter_biUnion_ball]
refine .biInter (to_countable _) fun n _ => IsOpen.isGδ ?_
exact isOpen_biUnion fun x _ => UniformSpace.isOpen_ball _ (hUo _).2
|
import Mathlib.Analysis.Calculus.FDeriv.Linear
import Mathlib.Analysis.Calculus.FDeriv.Comp
#align_import analysis.calculus.fderiv.add from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee"
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Filter Asymptotics ENNReal
noncomputable section
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G']
variable {f f₀ f₁ g : E → F}
variable {f' f₀' f₁' g' : E →L[𝕜] F}
variable (e : E →L[𝕜] F)
variable {x : E}
variable {s t : Set E}
variable {L L₁ L₂ : Filter E}
section Add
@[fun_prop]
nonrec theorem HasStrictFDerivAt.add (hf : HasStrictFDerivAt f f' x)
(hg : HasStrictFDerivAt g g' x) : HasStrictFDerivAt (fun y => f y + g y) (f' + g') x :=
(hf.add hg).congr_left fun y => by
simp only [LinearMap.sub_apply, LinearMap.add_apply, map_sub, map_add, add_apply]
abel
#align has_strict_fderiv_at.add HasStrictFDerivAt.add
theorem HasFDerivAtFilter.add (hf : HasFDerivAtFilter f f' x L)
(hg : HasFDerivAtFilter g g' x L) : HasFDerivAtFilter (fun y => f y + g y) (f' + g') x L :=
.of_isLittleO <| (hf.isLittleO.add hg.isLittleO).congr_left fun _ => by
simp only [LinearMap.sub_apply, LinearMap.add_apply, map_sub, map_add, add_apply]
abel
#align has_fderiv_at_filter.add HasFDerivAtFilter.add
@[fun_prop]
nonrec theorem HasFDerivWithinAt.add (hf : HasFDerivWithinAt f f' s x)
(hg : HasFDerivWithinAt g g' s x) : HasFDerivWithinAt (fun y => f y + g y) (f' + g') s x :=
hf.add hg
#align has_fderiv_within_at.add HasFDerivWithinAt.add
@[fun_prop]
nonrec theorem HasFDerivAt.add (hf : HasFDerivAt f f' x) (hg : HasFDerivAt g g' x) :
HasFDerivAt (fun x => f x + g x) (f' + g') x :=
hf.add hg
#align has_fderiv_at.add HasFDerivAt.add
@[fun_prop]
theorem DifferentiableWithinAt.add (hf : DifferentiableWithinAt 𝕜 f s x)
(hg : DifferentiableWithinAt 𝕜 g s x) : DifferentiableWithinAt 𝕜 (fun y => f y + g y) s x :=
(hf.hasFDerivWithinAt.add hg.hasFDerivWithinAt).differentiableWithinAt
#align differentiable_within_at.add DifferentiableWithinAt.add
@[simp, fun_prop]
theorem DifferentiableAt.add (hf : DifferentiableAt 𝕜 f x) (hg : DifferentiableAt 𝕜 g x) :
DifferentiableAt 𝕜 (fun y => f y + g y) x :=
(hf.hasFDerivAt.add hg.hasFDerivAt).differentiableAt
#align differentiable_at.add DifferentiableAt.add
@[fun_prop]
theorem DifferentiableOn.add (hf : DifferentiableOn 𝕜 f s) (hg : DifferentiableOn 𝕜 g s) :
DifferentiableOn 𝕜 (fun y => f y + g y) s := fun x hx => (hf x hx).add (hg x hx)
#align differentiable_on.add DifferentiableOn.add
@[simp, fun_prop]
theorem Differentiable.add (hf : Differentiable 𝕜 f) (hg : Differentiable 𝕜 g) :
Differentiable 𝕜 fun y => f y + g y := fun x => (hf x).add (hg x)
#align differentiable.add Differentiable.add
theorem fderivWithin_add (hxs : UniqueDiffWithinAt 𝕜 s x) (hf : DifferentiableWithinAt 𝕜 f s x)
(hg : DifferentiableWithinAt 𝕜 g s x) :
fderivWithin 𝕜 (fun y => f y + g y) s x = fderivWithin 𝕜 f s x + fderivWithin 𝕜 g s x :=
(hf.hasFDerivWithinAt.add hg.hasFDerivWithinAt).fderivWithin hxs
#align fderiv_within_add fderivWithin_add
theorem fderiv_add (hf : DifferentiableAt 𝕜 f x) (hg : DifferentiableAt 𝕜 g x) :
fderiv 𝕜 (fun y => f y + g y) x = fderiv 𝕜 f x + fderiv 𝕜 g x :=
(hf.hasFDerivAt.add hg.hasFDerivAt).fderiv
#align fderiv_add fderiv_add
@[fun_prop]
theorem HasStrictFDerivAt.add_const (hf : HasStrictFDerivAt f f' x) (c : F) :
HasStrictFDerivAt (fun y => f y + c) f' x :=
add_zero f' ▸ hf.add (hasStrictFDerivAt_const _ _)
#align has_strict_fderiv_at.add_const HasStrictFDerivAt.add_const
theorem HasFDerivAtFilter.add_const (hf : HasFDerivAtFilter f f' x L) (c : F) :
HasFDerivAtFilter (fun y => f y + c) f' x L :=
add_zero f' ▸ hf.add (hasFDerivAtFilter_const _ _ _)
#align has_fderiv_at_filter.add_const HasFDerivAtFilter.add_const
@[fun_prop]
nonrec theorem HasFDerivWithinAt.add_const (hf : HasFDerivWithinAt f f' s x) (c : F) :
HasFDerivWithinAt (fun y => f y + c) f' s x :=
hf.add_const c
#align has_fderiv_within_at.add_const HasFDerivWithinAt.add_const
@[fun_prop]
nonrec theorem HasFDerivAt.add_const (hf : HasFDerivAt f f' x) (c : F) :
HasFDerivAt (fun x => f x + c) f' x :=
hf.add_const c
#align has_fderiv_at.add_const HasFDerivAt.add_const
@[fun_prop]
theorem DifferentiableWithinAt.add_const (hf : DifferentiableWithinAt 𝕜 f s x) (c : F) :
DifferentiableWithinAt 𝕜 (fun y => f y + c) s x :=
(hf.hasFDerivWithinAt.add_const c).differentiableWithinAt
#align differentiable_within_at.add_const DifferentiableWithinAt.add_const
@[simp]
theorem differentiableWithinAt_add_const_iff (c : F) :
DifferentiableWithinAt 𝕜 (fun y => f y + c) s x ↔ DifferentiableWithinAt 𝕜 f s x :=
⟨fun h => by simpa using h.add_const (-c), fun h => h.add_const c⟩
#align differentiable_within_at_add_const_iff differentiableWithinAt_add_const_iff
@[fun_prop]
theorem DifferentiableAt.add_const (hf : DifferentiableAt 𝕜 f x) (c : F) :
DifferentiableAt 𝕜 (fun y => f y + c) x :=
(hf.hasFDerivAt.add_const c).differentiableAt
#align differentiable_at.add_const DifferentiableAt.add_const
@[simp]
theorem differentiableAt_add_const_iff (c : F) :
DifferentiableAt 𝕜 (fun y => f y + c) x ↔ DifferentiableAt 𝕜 f x :=
⟨fun h => by simpa using h.add_const (-c), fun h => h.add_const c⟩
#align differentiable_at_add_const_iff differentiableAt_add_const_iff
@[fun_prop]
theorem DifferentiableOn.add_const (hf : DifferentiableOn 𝕜 f s) (c : F) :
DifferentiableOn 𝕜 (fun y => f y + c) s := fun x hx => (hf x hx).add_const c
#align differentiable_on.add_const DifferentiableOn.add_const
@[simp]
theorem differentiableOn_add_const_iff (c : F) :
DifferentiableOn 𝕜 (fun y => f y + c) s ↔ DifferentiableOn 𝕜 f s :=
⟨fun h => by simpa using h.add_const (-c), fun h => h.add_const c⟩
#align differentiable_on_add_const_iff differentiableOn_add_const_iff
@[fun_prop]
theorem Differentiable.add_const (hf : Differentiable 𝕜 f) (c : F) :
Differentiable 𝕜 fun y => f y + c := fun x => (hf x).add_const c
#align differentiable.add_const Differentiable.add_const
@[simp]
theorem differentiable_add_const_iff (c : F) :
(Differentiable 𝕜 fun y => f y + c) ↔ Differentiable 𝕜 f :=
⟨fun h => by simpa using h.add_const (-c), fun h => h.add_const c⟩
#align differentiable_add_const_iff differentiable_add_const_iff
theorem fderivWithin_add_const (hxs : UniqueDiffWithinAt 𝕜 s x) (c : F) :
fderivWithin 𝕜 (fun y => f y + c) s x = fderivWithin 𝕜 f s x :=
if hf : DifferentiableWithinAt 𝕜 f s x then (hf.hasFDerivWithinAt.add_const c).fderivWithin hxs
else by
rw [fderivWithin_zero_of_not_differentiableWithinAt hf,
fderivWithin_zero_of_not_differentiableWithinAt]
simpa
#align fderiv_within_add_const fderivWithin_add_const
| Mathlib/Analysis/Calculus/FDeriv/Add.lean | 254 | 255 | theorem fderiv_add_const (c : F) : fderiv 𝕜 (fun y => f y + c) x = fderiv 𝕜 f x := by |
simp only [← fderivWithin_univ, fderivWithin_add_const uniqueDiffWithinAt_univ]
|
import Mathlib.Algebra.Category.MonCat.Limits
import Mathlib.CategoryTheory.Limits.Preserves.Filtered
import Mathlib.CategoryTheory.ConcreteCategory.Elementwise
import Mathlib.CategoryTheory.Limits.TypesFiltered
#align_import algebra.category.Mon.filtered_colimits from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
set_option linter.uppercaseLean3 false
universe v u
noncomputable section
open scoped Classical
open CategoryTheory
open CategoryTheory.Limits
open CategoryTheory.IsFiltered renaming max → max' -- avoid name collision with `_root_.max`.
namespace MonCat.FilteredColimits
section
-- Porting note: mathlib 3 used `parameters` here, mainly so we can have the abbreviations `M` and
-- `M.mk` below, without passing around `F` all the time.
variable {J : Type v} [SmallCategory J] (F : J ⥤ MonCatMax.{v, u})
@[to_additive
"The colimit of `F ⋙ forget AddMon` in the category of types.
In the following, we will construct an additive monoid structure on `M`."]
abbrev M :=
Types.Quot (F ⋙ forget MonCat)
#align Mon.filtered_colimits.M MonCat.FilteredColimits.M
#align AddMon.filtered_colimits.M AddMonCat.FilteredColimits.M
@[to_additive "The canonical projection into the colimit, as a quotient type."]
noncomputable abbrev M.mk : (Σ j, F.obj j) → M.{v, u} F :=
Quot.mk _
#align Mon.filtered_colimits.M.mk MonCat.FilteredColimits.M.mk
#align AddMon.filtered_colimits.M.mk AddMonCat.FilteredColimits.M.mk
@[to_additive]
theorem M.mk_eq (x y : Σ j, F.obj j)
(h : ∃ (k : J) (f : x.1 ⟶ k) (g : y.1 ⟶ k), F.map f x.2 = F.map g y.2) :
M.mk.{v, u} F x = M.mk F y :=
Quot.EqvGen_sound (Types.FilteredColimit.eqvGen_quot_rel_of_rel (F ⋙ forget MonCat) x y h)
#align Mon.filtered_colimits.M.mk_eq MonCat.FilteredColimits.M.mk_eq
#align AddMon.filtered_colimits.M.mk_eq AddMonCat.FilteredColimits.M.mk_eq
variable [IsFiltered J]
@[to_additive
"As `J` is nonempty, we can pick an arbitrary object `j₀ : J`. We use this object to
define the \"zero\" in the colimit as the equivalence class of `⟨j₀, 0 : F.obj j₀⟩`."]
noncomputable instance colimitOne :
One (M.{v, u} F) where one := M.mk F ⟨IsFiltered.nonempty.some,1⟩
#align Mon.filtered_colimits.colimit_has_one MonCat.FilteredColimits.colimitOne
#align AddMon.filtered_colimits.colimit_has_zero AddMonCat.FilteredColimits.colimitZero
@[to_additive
"The definition of the \"zero\" in the colimit is independent of the chosen object
of `J`. In particular, this lemma allows us to \"unfold\" the definition of `colimit_zero` at
a custom chosen object `j`."]
theorem colimit_one_eq (j : J) : (1 : M.{v, u} F) = M.mk F ⟨j, 1⟩ := by
apply M.mk_eq
refine ⟨max' _ j, IsFiltered.leftToMax _ j, IsFiltered.rightToMax _ j, ?_⟩
simp
#align Mon.filtered_colimits.colimit_one_eq MonCat.FilteredColimits.colimit_one_eq
#align AddMon.filtered_colimits.colimit_zero_eq AddMonCat.FilteredColimits.colimit_zero_eq
@[to_additive
"The \"unlifted\" version of addition in the colimit. To add two dependent pairs
`⟨j₁, x⟩` and `⟨j₂, y⟩`, we pass to a common successor of `j₁` and `j₂`
(given by `IsFiltered.max`) and add them there."]
noncomputable def colimitMulAux (x y : Σ j, F.obj j) : M.{v, u} F :=
M.mk F ⟨IsFiltered.max x.fst y.fst, F.map (IsFiltered.leftToMax x.1 y.1) x.2 *
F.map (IsFiltered.rightToMax x.1 y.1) y.2⟩
#align Mon.filtered_colimits.colimit_mul_aux MonCat.FilteredColimits.colimitMulAux
#align AddMon.filtered_colimits.colimit_add_aux AddMonCat.FilteredColimits.colimitAddAux
@[to_additive "Addition in the colimit is well-defined in the left argument."]
theorem colimitMulAux_eq_of_rel_left {x x' y : Σ j, F.obj j}
(hxx' : Types.FilteredColimit.Rel (F ⋙ forget MonCat) x x') :
colimitMulAux.{v, u} F x y = colimitMulAux.{v, u} F x' y := by
cases' x with j₁ x; cases' y with j₂ y; cases' x' with j₃ x'
obtain ⟨l, f, g, hfg⟩ := hxx'
simp? at hfg says simp only [Functor.comp_obj, Functor.comp_map, forget_map] at hfg
obtain ⟨s, α, β, γ, h₁, h₂, h₃⟩ :=
IsFiltered.tulip (IsFiltered.leftToMax j₁ j₂) (IsFiltered.rightToMax j₁ j₂)
(IsFiltered.rightToMax j₃ j₂) (IsFiltered.leftToMax j₃ j₂) f g
apply M.mk_eq
use s, α, γ
dsimp
simp_rw [MonoidHom.map_mul]
-- Porting note: Lean cannot seem to use lemmas from concrete categories directly
change (F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _ =
(F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _
simp_rw [← F.map_comp, h₁, h₂, h₃, F.map_comp]
congr 1
change F.map _ (F.map _ _) = F.map _ (F.map _ _)
rw [hfg]
#align Mon.filtered_colimits.colimit_mul_aux_eq_of_rel_left MonCat.FilteredColimits.colimitMulAux_eq_of_rel_left
#align AddMon.filtered_colimits.colimit_add_aux_eq_of_rel_left AddMonCat.FilteredColimits.colimitAddAux_eq_of_rel_left
@[to_additive "Addition in the colimit is well-defined in the right argument."]
| Mathlib/Algebra/Category/MonCat/FilteredColimits.lean | 143 | 162 | theorem colimitMulAux_eq_of_rel_right {x y y' : Σ j, F.obj j}
(hyy' : Types.FilteredColimit.Rel (F ⋙ forget MonCat) y y') :
colimitMulAux.{v, u} F x y = colimitMulAux.{v, u} F x y' := by |
cases' y with j₁ y; cases' x with j₂ x; cases' y' with j₃ y'
obtain ⟨l, f, g, hfg⟩ := hyy'
simp only [Functor.comp_obj, Functor.comp_map, forget_map] at hfg
obtain ⟨s, α, β, γ, h₁, h₂, h₃⟩ :=
IsFiltered.tulip (IsFiltered.rightToMax j₂ j₁) (IsFiltered.leftToMax j₂ j₁)
(IsFiltered.leftToMax j₂ j₃) (IsFiltered.rightToMax j₂ j₃) f g
apply M.mk_eq
use s, α, γ
dsimp
simp_rw [MonoidHom.map_mul]
-- Porting note: Lean cannot seem to use lemmas from concrete categories directly
change (F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _ =
(F.map _ ≫ F.map _) _ * (F.map _ ≫ F.map _) _
simp_rw [← F.map_comp, h₁, h₂, h₃, F.map_comp]
congr 1
change F.map _ (F.map _ _) = F.map _ (F.map _ _)
rw [hfg]
|
import Mathlib.Order.BoundedOrder
import Mathlib.Order.MinMax
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Order.Monoid.Defs
#align_import algebra.order.monoid.canonical.defs from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
universe u
variable {α : Type u}
class ExistsMulOfLE (α : Type u) [Mul α] [LE α] : Prop where
exists_mul_of_le : ∀ {a b : α}, a ≤ b → ∃ c : α, b = a * c
#align has_exists_mul_of_le ExistsMulOfLE
class ExistsAddOfLE (α : Type u) [Add α] [LE α] : Prop where
exists_add_of_le : ∀ {a b : α}, a ≤ b → ∃ c : α, b = a + c
#align has_exists_add_of_le ExistsAddOfLE
attribute [to_additive] ExistsMulOfLE
export ExistsMulOfLE (exists_mul_of_le)
export ExistsAddOfLE (exists_add_of_le)
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) Group.existsMulOfLE (α : Type u) [Group α] [LE α] : ExistsMulOfLE α :=
⟨fun {a b} _ => ⟨a⁻¹ * b, (mul_inv_cancel_left _ _).symm⟩⟩
#align group.has_exists_mul_of_le Group.existsMulOfLE
#align add_group.has_exists_add_of_le AddGroup.existsAddOfLE
class CanonicallyOrderedAddCommMonoid (α : Type*) extends OrderedAddCommMonoid α, OrderBot α where
protected exists_add_of_le : ∀ {a b : α}, a ≤ b → ∃ c, b = a + c
protected le_self_add : ∀ a b : α, a ≤ a + b
#align canonically_ordered_add_monoid CanonicallyOrderedAddCommMonoid
#align canonically_ordered_add_monoid.to_order_bot CanonicallyOrderedAddCommMonoid.toOrderBot
-- see Note [lower instance priority]
attribute [instance 100] CanonicallyOrderedAddCommMonoid.toOrderBot
@[to_additive]
class CanonicallyOrderedCommMonoid (α : Type*) extends OrderedCommMonoid α, OrderBot α where
protected exists_mul_of_le : ∀ {a b : α}, a ≤ b → ∃ c, b = a * c
protected le_self_mul : ∀ a b : α, a ≤ a * b
#align canonically_ordered_monoid CanonicallyOrderedAddCommMonoid
#align canonically_ordered_monoid.to_order_bot CanonicallyOrderedCommMonoid.toOrderBot
-- see Note [lower instance priority]
attribute [instance 100] CanonicallyOrderedCommMonoid.toOrderBot
-- see Note [lower instance priority]
@[to_additive]
instance (priority := 100) CanonicallyOrderedCommMonoid.existsMulOfLE (α : Type u)
[h : CanonicallyOrderedCommMonoid α] : ExistsMulOfLE α :=
{ h with }
#align canonically_ordered_monoid.has_exists_mul_of_le CanonicallyOrderedCommMonoid.existsMulOfLE
#align canonically_ordered_add_monoid.has_exists_add_of_le CanonicallyOrderedAddCommMonoid.existsAddOfLE
section CanonicallyOrderedCommMonoid
variable [CanonicallyOrderedCommMonoid α] {a b c d : α}
@[to_additive]
theorem le_self_mul : a ≤ a * c :=
CanonicallyOrderedCommMonoid.le_self_mul _ _
#align le_self_mul le_self_mul
#align le_self_add le_self_add
@[to_additive]
theorem le_mul_self : a ≤ b * a := by
rw [mul_comm]
exact le_self_mul
#align le_mul_self le_mul_self
#align le_add_self le_add_self
@[to_additive (attr := simp)]
theorem self_le_mul_right (a b : α) : a ≤ a * b :=
le_self_mul
#align self_le_mul_right self_le_mul_right
#align self_le_add_right self_le_add_right
@[to_additive (attr := simp)]
theorem self_le_mul_left (a b : α) : a ≤ b * a :=
le_mul_self
#align self_le_mul_left self_le_mul_left
#align self_le_add_left self_le_add_left
@[to_additive]
theorem le_of_mul_le_left : a * b ≤ c → a ≤ c :=
le_self_mul.trans
#align le_of_mul_le_left le_of_mul_le_left
#align le_of_add_le_left le_of_add_le_left
@[to_additive]
theorem le_of_mul_le_right : a * b ≤ c → b ≤ c :=
le_mul_self.trans
#align le_of_mul_le_right le_of_mul_le_right
#align le_of_add_le_right le_of_add_le_right
@[to_additive]
theorem le_mul_of_le_left : a ≤ b → a ≤ b * c :=
le_self_mul.trans'
#align le_mul_of_le_left le_mul_of_le_left
#align le_add_of_le_left le_add_of_le_left
@[to_additive]
theorem le_mul_of_le_right : a ≤ c → a ≤ b * c :=
le_mul_self.trans'
#align le_mul_of_le_right le_mul_of_le_right
#align le_add_of_le_right le_add_of_le_right
@[to_additive]
theorem le_iff_exists_mul : a ≤ b ↔ ∃ c, b = a * c :=
⟨exists_mul_of_le, by
rintro ⟨c, rfl⟩
exact le_self_mul⟩
#align le_iff_exists_mul le_iff_exists_mul
#align le_iff_exists_add le_iff_exists_add
@[to_additive]
theorem le_iff_exists_mul' : a ≤ b ↔ ∃ c, b = c * a := by
simp only [mul_comm _ a, le_iff_exists_mul]
#align le_iff_exists_mul' le_iff_exists_mul'
#align le_iff_exists_add' le_iff_exists_add'
@[to_additive (attr := simp) zero_le]
theorem one_le (a : α) : 1 ≤ a :=
le_iff_exists_mul.mpr ⟨a, (one_mul _).symm⟩
#align one_le one_le
#align zero_le zero_le
@[to_additive]
theorem bot_eq_one : (⊥ : α) = 1 :=
le_antisymm bot_le (one_le ⊥)
#align bot_eq_one bot_eq_one
#align bot_eq_zero bot_eq_zero
--TODO: This is a special case of `mul_eq_one`. We need the instance
-- `CanonicallyOrderedCommMonoid α → Unique αˣ`
@[to_additive (attr := simp)]
theorem mul_eq_one_iff : a * b = 1 ↔ a = 1 ∧ b = 1 :=
mul_eq_one_iff' (one_le _) (one_le _)
#align mul_eq_one_iff mul_eq_one_iff
#align add_eq_zero_iff add_eq_zero_iff
@[to_additive (attr := simp)]
theorem le_one_iff_eq_one : a ≤ 1 ↔ a = 1 :=
(one_le a).le_iff_eq
#align le_one_iff_eq_one le_one_iff_eq_one
#align nonpos_iff_eq_zero nonpos_iff_eq_zero
@[to_additive]
theorem one_lt_iff_ne_one : 1 < a ↔ a ≠ 1 :=
(one_le a).lt_iff_ne.trans ne_comm
#align one_lt_iff_ne_one one_lt_iff_ne_one
#align pos_iff_ne_zero pos_iff_ne_zero
@[to_additive]
theorem eq_one_or_one_lt (a : α) : a = 1 ∨ 1 < a := (one_le a).eq_or_lt.imp_left Eq.symm
#align eq_one_or_one_lt eq_one_or_one_lt
#align eq_zero_or_pos eq_zero_or_pos
@[to_additive (attr := simp) add_pos_iff]
theorem one_lt_mul_iff : 1 < a * b ↔ 1 < a ∨ 1 < b := by
simp only [one_lt_iff_ne_one, Ne, mul_eq_one_iff, not_and_or]
#align one_lt_mul_iff one_lt_mul_iff
#align add_pos_iff add_pos_iff
@[to_additive]
| Mathlib/Algebra/Order/Monoid/Canonical/Defs.lean | 248 | 252 | theorem exists_one_lt_mul_of_lt (h : a < b) : ∃ (c : _) (_ : 1 < c), a * c = b := by |
obtain ⟨c, hc⟩ := le_iff_exists_mul.1 h.le
refine ⟨c, one_lt_iff_ne_one.2 ?_, hc.symm⟩
rintro rfl
simp [hc, lt_irrefl] at h
|
import Mathlib.Analysis.SpecialFunctions.Pow.Real
#align_import analysis.special_functions.pow.nnreal from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8"
noncomputable section
open scoped Classical
open Real NNReal ENNReal ComplexConjugate
open Finset Function Set
namespace NNReal
variable {w x y z : ℝ}
noncomputable def rpow (x : ℝ≥0) (y : ℝ) : ℝ≥0 :=
⟨(x : ℝ) ^ y, Real.rpow_nonneg x.2 y⟩
#align nnreal.rpow NNReal.rpow
noncomputable instance : Pow ℝ≥0 ℝ :=
⟨rpow⟩
@[simp]
theorem rpow_eq_pow (x : ℝ≥0) (y : ℝ) : rpow x y = x ^ y :=
rfl
#align nnreal.rpow_eq_pow NNReal.rpow_eq_pow
@[simp, norm_cast]
theorem coe_rpow (x : ℝ≥0) (y : ℝ) : ((x ^ y : ℝ≥0) : ℝ) = (x : ℝ) ^ y :=
rfl
#align nnreal.coe_rpow NNReal.coe_rpow
@[simp]
theorem rpow_zero (x : ℝ≥0) : x ^ (0 : ℝ) = 1 :=
NNReal.eq <| Real.rpow_zero _
#align nnreal.rpow_zero NNReal.rpow_zero
@[simp]
theorem rpow_eq_zero_iff {x : ℝ≥0} {y : ℝ} : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by
rw [← NNReal.coe_inj, coe_rpow, ← NNReal.coe_eq_zero]
exact Real.rpow_eq_zero_iff_of_nonneg x.2
#align nnreal.rpow_eq_zero_iff NNReal.rpow_eq_zero_iff
@[simp]
theorem zero_rpow {x : ℝ} (h : x ≠ 0) : (0 : ℝ≥0) ^ x = 0 :=
NNReal.eq <| Real.zero_rpow h
#align nnreal.zero_rpow NNReal.zero_rpow
@[simp]
theorem rpow_one (x : ℝ≥0) : x ^ (1 : ℝ) = x :=
NNReal.eq <| Real.rpow_one _
#align nnreal.rpow_one NNReal.rpow_one
@[simp]
theorem one_rpow (x : ℝ) : (1 : ℝ≥0) ^ x = 1 :=
NNReal.eq <| Real.one_rpow _
#align nnreal.one_rpow NNReal.one_rpow
theorem rpow_add {x : ℝ≥0} (hx : x ≠ 0) (y z : ℝ) : x ^ (y + z) = x ^ y * x ^ z :=
NNReal.eq <| Real.rpow_add (pos_iff_ne_zero.2 hx) _ _
#align nnreal.rpow_add NNReal.rpow_add
theorem rpow_add' (x : ℝ≥0) {y z : ℝ} (h : y + z ≠ 0) : x ^ (y + z) = x ^ y * x ^ z :=
NNReal.eq <| Real.rpow_add' x.2 h
#align nnreal.rpow_add' NNReal.rpow_add'
lemma rpow_of_add_eq (x : ℝ≥0) (hw : w ≠ 0) (h : y + z = w) : x ^ w = x ^ y * x ^ z := by
rw [← h, rpow_add']; rwa [h]
theorem rpow_mul (x : ℝ≥0) (y z : ℝ) : x ^ (y * z) = (x ^ y) ^ z :=
NNReal.eq <| Real.rpow_mul x.2 y z
#align nnreal.rpow_mul NNReal.rpow_mul
theorem rpow_neg (x : ℝ≥0) (y : ℝ) : x ^ (-y) = (x ^ y)⁻¹ :=
NNReal.eq <| Real.rpow_neg x.2 _
#align nnreal.rpow_neg NNReal.rpow_neg
theorem rpow_neg_one (x : ℝ≥0) : x ^ (-1 : ℝ) = x⁻¹ := by simp [rpow_neg]
#align nnreal.rpow_neg_one NNReal.rpow_neg_one
theorem rpow_sub {x : ℝ≥0} (hx : x ≠ 0) (y z : ℝ) : x ^ (y - z) = x ^ y / x ^ z :=
NNReal.eq <| Real.rpow_sub (pos_iff_ne_zero.2 hx) y z
#align nnreal.rpow_sub NNReal.rpow_sub
theorem rpow_sub' (x : ℝ≥0) {y z : ℝ} (h : y - z ≠ 0) : x ^ (y - z) = x ^ y / x ^ z :=
NNReal.eq <| Real.rpow_sub' x.2 h
#align nnreal.rpow_sub' NNReal.rpow_sub'
theorem rpow_inv_rpow_self {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ y) ^ (1 / y) = x := by
field_simp [← rpow_mul]
#align nnreal.rpow_inv_rpow_self NNReal.rpow_inv_rpow_self
theorem rpow_self_rpow_inv {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ (1 / y)) ^ y = x := by
field_simp [← rpow_mul]
#align nnreal.rpow_self_rpow_inv NNReal.rpow_self_rpow_inv
theorem inv_rpow (x : ℝ≥0) (y : ℝ) : x⁻¹ ^ y = (x ^ y)⁻¹ :=
NNReal.eq <| Real.inv_rpow x.2 y
#align nnreal.inv_rpow NNReal.inv_rpow
theorem div_rpow (x y : ℝ≥0) (z : ℝ) : (x / y) ^ z = x ^ z / y ^ z :=
NNReal.eq <| Real.div_rpow x.2 y.2 z
#align nnreal.div_rpow NNReal.div_rpow
theorem sqrt_eq_rpow (x : ℝ≥0) : sqrt x = x ^ (1 / (2 : ℝ)) := by
refine NNReal.eq ?_
push_cast
exact Real.sqrt_eq_rpow x.1
#align nnreal.sqrt_eq_rpow NNReal.sqrt_eq_rpow
@[simp, norm_cast]
theorem rpow_natCast (x : ℝ≥0) (n : ℕ) : x ^ (n : ℝ) = x ^ n :=
NNReal.eq <| by simpa only [coe_rpow, coe_pow] using Real.rpow_natCast x n
#align nnreal.rpow_nat_cast NNReal.rpow_natCast
@[deprecated (since := "2024-04-17")]
alias rpow_nat_cast := rpow_natCast
@[simp]
lemma rpow_ofNat (x : ℝ≥0) (n : ℕ) [n.AtLeastTwo] :
x ^ (no_index (OfNat.ofNat n) : ℝ) = x ^ (OfNat.ofNat n : ℕ) :=
rpow_natCast x n
theorem rpow_two (x : ℝ≥0) : x ^ (2 : ℝ) = x ^ 2 := rpow_ofNat x 2
#align nnreal.rpow_two NNReal.rpow_two
theorem mul_rpow {x y : ℝ≥0} {z : ℝ} : (x * y) ^ z = x ^ z * y ^ z :=
NNReal.eq <| Real.mul_rpow x.2 y.2
#align nnreal.mul_rpow NNReal.mul_rpow
@[simps]
def rpowMonoidHom (r : ℝ) : ℝ≥0 →* ℝ≥0 where
toFun := (· ^ r)
map_one' := one_rpow _
map_mul' _x _y := mul_rpow
theorem list_prod_map_rpow (l : List ℝ≥0) (r : ℝ) :
(l.map (· ^ r)).prod = l.prod ^ r :=
l.prod_hom (rpowMonoidHom r)
theorem list_prod_map_rpow' {ι} (l : List ι) (f : ι → ℝ≥0) (r : ℝ) :
(l.map (f · ^ r)).prod = (l.map f).prod ^ r := by
rw [← list_prod_map_rpow, List.map_map]; rfl
lemma multiset_prod_map_rpow {ι} (s : Multiset ι) (f : ι → ℝ≥0) (r : ℝ) :
(s.map (f · ^ r)).prod = (s.map f).prod ^ r :=
s.prod_hom' (rpowMonoidHom r) _
lemma finset_prod_rpow {ι} (s : Finset ι) (f : ι → ℝ≥0) (r : ℝ) :
(∏ i ∈ s, f i ^ r) = (∏ i ∈ s, f i) ^ r :=
multiset_prod_map_rpow _ _ _
-- note: these don't really belong here, but they're much easier to prove in terms of the above
section Real
| Mathlib/Analysis/SpecialFunctions/Pow/NNReal.lean | 181 | 187 | theorem _root_.Real.list_prod_map_rpow (l : List ℝ) (hl : ∀ x ∈ l, (0 : ℝ) ≤ x) (r : ℝ) :
(l.map (· ^ r)).prod = l.prod ^ r := by |
lift l to List ℝ≥0 using hl
have := congr_arg ((↑) : ℝ≥0 → ℝ) (NNReal.list_prod_map_rpow l r)
push_cast at this
rw [List.map_map] at this ⊢
exact mod_cast this
|
import Mathlib.Data.List.Forall2
import Mathlib.Data.Set.Pairwise.Basic
import Mathlib.Init.Data.Fin.Basic
#align_import data.list.nodup from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0"
universe u v
open Nat Function
variable {α : Type u} {β : Type v} {l l₁ l₂ : List α} {r : α → α → Prop} {a b : α}
namespace List
@[simp]
theorem forall_mem_ne {a : α} {l : List α} : (∀ a' : α, a' ∈ l → ¬a = a') ↔ a ∉ l :=
⟨fun h m => h _ m rfl, fun h _ m e => h (e.symm ▸ m)⟩
#align list.forall_mem_ne List.forall_mem_ne
@[simp]
theorem nodup_nil : @Nodup α [] :=
Pairwise.nil
#align list.nodup_nil List.nodup_nil
@[simp]
theorem nodup_cons {a : α} {l : List α} : Nodup (a :: l) ↔ a ∉ l ∧ Nodup l := by
simp only [Nodup, pairwise_cons, forall_mem_ne]
#align list.nodup_cons List.nodup_cons
protected theorem Pairwise.nodup {l : List α} {r : α → α → Prop} [IsIrrefl α r] (h : Pairwise r l) :
Nodup l :=
h.imp ne_of_irrefl
#align list.pairwise.nodup List.Pairwise.nodup
theorem rel_nodup {r : α → β → Prop} (hr : Relator.BiUnique r) : (Forall₂ r ⇒ (· ↔ ·)) Nodup Nodup
| _, _, Forall₂.nil => by simp only [nodup_nil]
| _, _, Forall₂.cons hab h => by
simpa only [nodup_cons] using
Relator.rel_and (Relator.rel_not (rel_mem hr hab h)) (rel_nodup hr h)
#align list.rel_nodup List.rel_nodup
protected theorem Nodup.cons (ha : a ∉ l) (hl : Nodup l) : Nodup (a :: l) :=
nodup_cons.2 ⟨ha, hl⟩
#align list.nodup.cons List.Nodup.cons
theorem nodup_singleton (a : α) : Nodup [a] :=
pairwise_singleton _ _
#align list.nodup_singleton List.nodup_singleton
theorem Nodup.of_cons (h : Nodup (a :: l)) : Nodup l :=
(nodup_cons.1 h).2
#align list.nodup.of_cons List.Nodup.of_cons
theorem Nodup.not_mem (h : (a :: l).Nodup) : a ∉ l :=
(nodup_cons.1 h).1
#align list.nodup.not_mem List.Nodup.not_mem
theorem not_nodup_cons_of_mem : a ∈ l → ¬Nodup (a :: l) :=
imp_not_comm.1 Nodup.not_mem
#align list.not_nodup_cons_of_mem List.not_nodup_cons_of_mem
protected theorem Nodup.sublist : l₁ <+ l₂ → Nodup l₂ → Nodup l₁ :=
Pairwise.sublist
#align list.nodup.sublist List.Nodup.sublist
theorem not_nodup_pair (a : α) : ¬Nodup [a, a] :=
not_nodup_cons_of_mem <| mem_singleton_self _
#align list.not_nodup_pair List.not_nodup_pair
theorem nodup_iff_sublist {l : List α} : Nodup l ↔ ∀ a, ¬[a, a] <+ l :=
⟨fun d a h => not_nodup_pair a (d.sublist h),
by
induction' l with a l IH <;> intro h; · exact nodup_nil
exact (IH fun a s => h a <| sublist_cons_of_sublist _ s).cons fun al =>
h a <| (singleton_sublist.2 al).cons_cons _⟩
#align list.nodup_iff_sublist List.nodup_iff_sublist
-- Porting note (#10756): new theorem
theorem nodup_iff_injective_get {l : List α} :
Nodup l ↔ Function.Injective l.get :=
pairwise_iff_get.trans
⟨fun h i j hg => by
cases' i with i hi; cases' j with j hj
rcases lt_trichotomy i j with (hij | rfl | hji)
· exact (h ⟨i, hi⟩ ⟨j, hj⟩ hij hg).elim
· rfl
· exact (h ⟨j, hj⟩ ⟨i, hi⟩ hji hg.symm).elim,
fun hinj i j hij h => Nat.ne_of_lt hij (Fin.val_eq_of_eq (hinj h))⟩
set_option linter.deprecated false in
@[deprecated nodup_iff_injective_get (since := "2023-01-10")]
theorem nodup_iff_nthLe_inj {l : List α} :
Nodup l ↔ ∀ i j h₁ h₂, nthLe l i h₁ = nthLe l j h₂ → i = j :=
nodup_iff_injective_get.trans
⟨fun hinj _ _ _ _ h => congr_arg Fin.val (hinj h),
fun hinj i j h => Fin.eq_of_veq (hinj i j i.2 j.2 h)⟩
#align list.nodup_iff_nth_le_inj List.nodup_iff_nthLe_inj
theorem Nodup.get_inj_iff {l : List α} (h : Nodup l) {i j : Fin l.length} :
l.get i = l.get j ↔ i = j :=
(nodup_iff_injective_get.1 h).eq_iff
set_option linter.deprecated false in
@[deprecated Nodup.get_inj_iff (since := "2023-01-10")]
theorem Nodup.nthLe_inj_iff {l : List α} (h : Nodup l) {i j : ℕ} (hi : i < l.length)
(hj : j < l.length) : l.nthLe i hi = l.nthLe j hj ↔ i = j :=
⟨nodup_iff_nthLe_inj.mp h _ _ _ _, by simp (config := { contextual := true })⟩
#align list.nodup.nth_le_inj_iff List.Nodup.nthLe_inj_iff
theorem nodup_iff_get?_ne_get? {l : List α} :
l.Nodup ↔ ∀ i j : ℕ, i < j → j < l.length → l.get? i ≠ l.get? j := by
rw [Nodup, pairwise_iff_get]
constructor
· intro h i j hij hj
rw [get?_eq_get (lt_trans hij hj), get?_eq_get hj, Ne, Option.some_inj]
exact h _ _ hij
· intro h i j hij
rw [Ne, ← Option.some_inj, ← get?_eq_get, ← get?_eq_get]
exact h i j hij j.2
#align list.nodup_iff_nth_ne_nth List.nodup_iff_get?_ne_get?
theorem Nodup.ne_singleton_iff {l : List α} (h : Nodup l) (x : α) :
l ≠ [x] ↔ l = [] ∨ ∃ y ∈ l, y ≠ x := by
induction' l with hd tl hl
· simp
· specialize hl h.of_cons
by_cases hx : tl = [x]
· simpa [hx, and_comm, and_or_left] using h
· rw [← Ne, hl] at hx
rcases hx with (rfl | ⟨y, hy, hx⟩)
· simp
· suffices ∃ y ∈ hd :: tl, y ≠ x by simpa [ne_nil_of_mem hy]
exact ⟨y, mem_cons_of_mem _ hy, hx⟩
#align list.nodup.ne_singleton_iff List.Nodup.ne_singleton_iff
theorem not_nodup_of_get_eq_of_ne (xs : List α) (n m : Fin xs.length)
(h : xs.get n = xs.get m) (hne : n ≠ m) : ¬Nodup xs := by
rw [nodup_iff_injective_get]
exact fun hinj => hne (hinj h)
#align list.nth_le_eq_of_ne_imp_not_nodup List.not_nodup_of_get_eq_of_ne
-- Porting note (#10756): new theorem
theorem get_indexOf [DecidableEq α] {l : List α} (H : Nodup l) (i : Fin l.length) :
indexOf (get l i) l = i :=
suffices (⟨indexOf (get l i) l, indexOf_lt_length.2 (get_mem _ _ _)⟩ : Fin l.length) = i
from Fin.val_eq_of_eq this
nodup_iff_injective_get.1 H (by simp)
#align list.nth_le_index_of List.get_indexOf
theorem nodup_iff_count_le_one [DecidableEq α] {l : List α} : Nodup l ↔ ∀ a, count a l ≤ 1 :=
nodup_iff_sublist.trans <|
forall_congr' fun a =>
have : replicate 2 a <+ l ↔ 1 < count a l := (le_count_iff_replicate_sublist ..).symm
(not_congr this).trans not_lt
#align list.nodup_iff_count_le_one List.nodup_iff_count_le_one
theorem nodup_iff_count_eq_one [DecidableEq α] : Nodup l ↔ ∀ a ∈ l, count a l = 1 :=
nodup_iff_count_le_one.trans <| forall_congr' fun _ =>
⟨fun H h => H.antisymm (count_pos_iff_mem.mpr h),
fun H => if h : _ then (H h).le else (count_eq_zero.mpr h).trans_le (Nat.zero_le 1)⟩
theorem nodup_replicate (a : α) : ∀ {n : ℕ}, Nodup (replicate n a) ↔ n ≤ 1
| 0 => by simp [Nat.zero_le]
| 1 => by simp
| n + 2 =>
iff_of_false
(fun H => nodup_iff_sublist.1 H a ((replicate_sublist_replicate _).2 (Nat.le_add_left 2 n)))
(not_le_of_lt <| Nat.le_add_left 2 n)
#align list.nodup_replicate List.nodup_replicate
@[simp]
theorem count_eq_one_of_mem [DecidableEq α] {a : α} {l : List α} (d : Nodup l) (h : a ∈ l) :
count a l = 1 :=
_root_.le_antisymm (nodup_iff_count_le_one.1 d a) (Nat.succ_le_of_lt (count_pos_iff_mem.2 h))
#align list.count_eq_one_of_mem List.count_eq_one_of_mem
theorem count_eq_of_nodup [DecidableEq α] {a : α} {l : List α} (d : Nodup l) :
count a l = if a ∈ l then 1 else 0 := by
split_ifs with h
· exact count_eq_one_of_mem d h
· exact count_eq_zero_of_not_mem h
#align list.count_eq_of_nodup List.count_eq_of_nodup
theorem Nodup.of_append_left : Nodup (l₁ ++ l₂) → Nodup l₁ :=
Nodup.sublist (sublist_append_left l₁ l₂)
#align list.nodup.of_append_left List.Nodup.of_append_left
theorem Nodup.of_append_right : Nodup (l₁ ++ l₂) → Nodup l₂ :=
Nodup.sublist (sublist_append_right l₁ l₂)
#align list.nodup.of_append_right List.Nodup.of_append_right
theorem nodup_append {l₁ l₂ : List α} :
Nodup (l₁ ++ l₂) ↔ Nodup l₁ ∧ Nodup l₂ ∧ Disjoint l₁ l₂ := by
simp only [Nodup, pairwise_append, disjoint_iff_ne]
#align list.nodup_append List.nodup_append
theorem disjoint_of_nodup_append {l₁ l₂ : List α} (d : Nodup (l₁ ++ l₂)) : Disjoint l₁ l₂ :=
(nodup_append.1 d).2.2
#align list.disjoint_of_nodup_append List.disjoint_of_nodup_append
theorem Nodup.append (d₁ : Nodup l₁) (d₂ : Nodup l₂) (dj : Disjoint l₁ l₂) : Nodup (l₁ ++ l₂) :=
nodup_append.2 ⟨d₁, d₂, dj⟩
#align list.nodup.append List.Nodup.append
| Mathlib/Data/List/Nodup.lean | 219 | 220 | theorem nodup_append_comm {l₁ l₂ : List α} : Nodup (l₁ ++ l₂) ↔ Nodup (l₂ ++ l₁) := by |
simp only [nodup_append, and_left_comm, disjoint_comm]
|
import Mathlib.Init.ZeroOne
import Mathlib.Data.Set.Defs
import Mathlib.Order.Basic
import Mathlib.Order.SymmDiff
import Mathlib.Tactic.Tauto
import Mathlib.Tactic.ByContra
import Mathlib.Util.Delaborators
#align_import data.set.basic from "leanprover-community/mathlib"@"001ffdc42920050657fd45bd2b8bfbec8eaaeb29"
open Function
universe u v w x
namespace Set
variable {α : Type u} {s t : Set α}
instance instBooleanAlgebraSet : BooleanAlgebra (Set α) :=
{ (inferInstance : BooleanAlgebra (α → Prop)) with
sup := (· ∪ ·),
le := (· ≤ ·),
lt := fun s t => s ⊆ t ∧ ¬t ⊆ s,
inf := (· ∩ ·),
bot := ∅,
compl := (·ᶜ),
top := univ,
sdiff := (· \ ·) }
instance : HasSSubset (Set α) :=
⟨(· < ·)⟩
@[simp]
theorem top_eq_univ : (⊤ : Set α) = univ :=
rfl
#align set.top_eq_univ Set.top_eq_univ
@[simp]
theorem bot_eq_empty : (⊥ : Set α) = ∅ :=
rfl
#align set.bot_eq_empty Set.bot_eq_empty
@[simp]
theorem sup_eq_union : ((· ⊔ ·) : Set α → Set α → Set α) = (· ∪ ·) :=
rfl
#align set.sup_eq_union Set.sup_eq_union
@[simp]
theorem inf_eq_inter : ((· ⊓ ·) : Set α → Set α → Set α) = (· ∩ ·) :=
rfl
#align set.inf_eq_inter Set.inf_eq_inter
@[simp]
theorem le_eq_subset : ((· ≤ ·) : Set α → Set α → Prop) = (· ⊆ ·) :=
rfl
#align set.le_eq_subset Set.le_eq_subset
@[simp]
theorem lt_eq_ssubset : ((· < ·) : Set α → Set α → Prop) = (· ⊂ ·) :=
rfl
#align set.lt_eq_ssubset Set.lt_eq_ssubset
theorem le_iff_subset : s ≤ t ↔ s ⊆ t :=
Iff.rfl
#align set.le_iff_subset Set.le_iff_subset
theorem lt_iff_ssubset : s < t ↔ s ⊂ t :=
Iff.rfl
#align set.lt_iff_ssubset Set.lt_iff_ssubset
alias ⟨_root_.LE.le.subset, _root_.HasSubset.Subset.le⟩ := le_iff_subset
#align has_subset.subset.le HasSubset.Subset.le
alias ⟨_root_.LT.lt.ssubset, _root_.HasSSubset.SSubset.lt⟩ := lt_iff_ssubset
#align has_ssubset.ssubset.lt HasSSubset.SSubset.lt
instance PiSetCoe.canLift (ι : Type u) (α : ι → Type v) [∀ i, Nonempty (α i)] (s : Set ι) :
CanLift (∀ i : s, α i) (∀ i, α i) (fun f i => f i) fun _ => True :=
PiSubtype.canLift ι α s
#align set.pi_set_coe.can_lift Set.PiSetCoe.canLift
instance PiSetCoe.canLift' (ι : Type u) (α : Type v) [Nonempty α] (s : Set ι) :
CanLift (s → α) (ι → α) (fun f i => f i) fun _ => True :=
PiSetCoe.canLift ι (fun _ => α) s
#align set.pi_set_coe.can_lift' Set.PiSetCoe.canLift'
end Set
theorem Subtype.mem {α : Type*} {s : Set α} (p : s) : (p : α) ∈ s :=
p.prop
#align subtype.mem Subtype.mem
theorem Eq.subset {α} {s t : Set α} : s = t → s ⊆ t :=
fun h₁ _ h₂ => by rw [← h₁]; exact h₂
#align eq.subset Eq.subset
namespace Set
variable {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x} {a b : α} {s s₁ s₂ t t₁ t₂ u : Set α}
instance : Inhabited (Set α) :=
⟨∅⟩
theorem ext_iff {s t : Set α} : s = t ↔ ∀ x, x ∈ s ↔ x ∈ t :=
⟨fun h x => by rw [h], ext⟩
#align set.ext_iff Set.ext_iff
@[trans]
theorem mem_of_mem_of_subset {x : α} {s t : Set α} (hx : x ∈ s) (h : s ⊆ t) : x ∈ t :=
h hx
#align set.mem_of_mem_of_subset Set.mem_of_mem_of_subset
theorem forall_in_swap {p : α → β → Prop} : (∀ a ∈ s, ∀ (b), p a b) ↔ ∀ (b), ∀ a ∈ s, p a b := by
tauto
#align set.forall_in_swap Set.forall_in_swap
theorem mem_setOf {a : α} {p : α → Prop} : a ∈ { x | p x } ↔ p a :=
Iff.rfl
#align set.mem_set_of Set.mem_setOf
theorem _root_.Membership.mem.out {p : α → Prop} {a : α} (h : a ∈ { x | p x }) : p a :=
h
#align has_mem.mem.out Membership.mem.out
theorem nmem_setOf_iff {a : α} {p : α → Prop} : a ∉ { x | p x } ↔ ¬p a :=
Iff.rfl
#align set.nmem_set_of_iff Set.nmem_setOf_iff
@[simp]
theorem setOf_mem_eq {s : Set α} : { x | x ∈ s } = s :=
rfl
#align set.set_of_mem_eq Set.setOf_mem_eq
theorem setOf_set {s : Set α} : setOf s = s :=
rfl
#align set.set_of_set Set.setOf_set
theorem setOf_app_iff {p : α → Prop} {x : α} : { x | p x } x ↔ p x :=
Iff.rfl
#align set.set_of_app_iff Set.setOf_app_iff
theorem mem_def {a : α} {s : Set α} : a ∈ s ↔ s a :=
Iff.rfl
#align set.mem_def Set.mem_def
theorem setOf_bijective : Bijective (setOf : (α → Prop) → Set α) :=
bijective_id
#align set.set_of_bijective Set.setOf_bijective
theorem subset_setOf {p : α → Prop} {s : Set α} : s ⊆ setOf p ↔ ∀ x, x ∈ s → p x :=
Iff.rfl
theorem setOf_subset {p : α → Prop} {s : Set α} : setOf p ⊆ s ↔ ∀ x, p x → x ∈ s :=
Iff.rfl
@[simp]
theorem setOf_subset_setOf {p q : α → Prop} : { a | p a } ⊆ { a | q a } ↔ ∀ a, p a → q a :=
Iff.rfl
#align set.set_of_subset_set_of Set.setOf_subset_setOf
theorem setOf_and {p q : α → Prop} : { a | p a ∧ q a } = { a | p a } ∩ { a | q a } :=
rfl
#align set.set_of_and Set.setOf_and
theorem setOf_or {p q : α → Prop} : { a | p a ∨ q a } = { a | p a } ∪ { a | q a } :=
rfl
#align set.set_of_or Set.setOf_or
instance : IsRefl (Set α) (· ⊆ ·) :=
show IsRefl (Set α) (· ≤ ·) by infer_instance
instance : IsTrans (Set α) (· ⊆ ·) :=
show IsTrans (Set α) (· ≤ ·) by infer_instance
instance : Trans ((· ⊆ ·) : Set α → Set α → Prop) (· ⊆ ·) (· ⊆ ·) :=
show Trans (· ≤ ·) (· ≤ ·) (· ≤ ·) by infer_instance
instance : IsAntisymm (Set α) (· ⊆ ·) :=
show IsAntisymm (Set α) (· ≤ ·) by infer_instance
instance : IsIrrefl (Set α) (· ⊂ ·) :=
show IsIrrefl (Set α) (· < ·) by infer_instance
instance : IsTrans (Set α) (· ⊂ ·) :=
show IsTrans (Set α) (· < ·) by infer_instance
instance : Trans ((· ⊂ ·) : Set α → Set α → Prop) (· ⊂ ·) (· ⊂ ·) :=
show Trans (· < ·) (· < ·) (· < ·) by infer_instance
instance : Trans ((· ⊂ ·) : Set α → Set α → Prop) (· ⊆ ·) (· ⊂ ·) :=
show Trans (· < ·) (· ≤ ·) (· < ·) by infer_instance
instance : Trans ((· ⊆ ·) : Set α → Set α → Prop) (· ⊂ ·) (· ⊂ ·) :=
show Trans (· ≤ ·) (· < ·) (· < ·) by infer_instance
instance : IsAsymm (Set α) (· ⊂ ·) :=
show IsAsymm (Set α) (· < ·) by infer_instance
instance : IsNonstrictStrictOrder (Set α) (· ⊆ ·) (· ⊂ ·) :=
⟨fun _ _ => Iff.rfl⟩
-- TODO(Jeremy): write a tactic to unfold specific instances of generic notation?
theorem subset_def : (s ⊆ t) = ∀ x, x ∈ s → x ∈ t :=
rfl
#align set.subset_def Set.subset_def
theorem ssubset_def : (s ⊂ t) = (s ⊆ t ∧ ¬t ⊆ s) :=
rfl
#align set.ssubset_def Set.ssubset_def
@[refl]
theorem Subset.refl (a : Set α) : a ⊆ a := fun _ => id
#align set.subset.refl Set.Subset.refl
theorem Subset.rfl {s : Set α} : s ⊆ s :=
Subset.refl s
#align set.subset.rfl Set.Subset.rfl
@[trans]
theorem Subset.trans {a b c : Set α} (ab : a ⊆ b) (bc : b ⊆ c) : a ⊆ c := fun _ h => bc <| ab h
#align set.subset.trans Set.Subset.trans
@[trans]
theorem mem_of_eq_of_mem {x y : α} {s : Set α} (hx : x = y) (h : y ∈ s) : x ∈ s :=
hx.symm ▸ h
#align set.mem_of_eq_of_mem Set.mem_of_eq_of_mem
theorem Subset.antisymm {a b : Set α} (h₁ : a ⊆ b) (h₂ : b ⊆ a) : a = b :=
Set.ext fun _ => ⟨@h₁ _, @h₂ _⟩
#align set.subset.antisymm Set.Subset.antisymm
theorem Subset.antisymm_iff {a b : Set α} : a = b ↔ a ⊆ b ∧ b ⊆ a :=
⟨fun e => ⟨e.subset, e.symm.subset⟩, fun ⟨h₁, h₂⟩ => Subset.antisymm h₁ h₂⟩
#align set.subset.antisymm_iff Set.Subset.antisymm_iff
-- an alternative name
theorem eq_of_subset_of_subset {a b : Set α} : a ⊆ b → b ⊆ a → a = b :=
Subset.antisymm
#align set.eq_of_subset_of_subset Set.eq_of_subset_of_subset
theorem mem_of_subset_of_mem {s₁ s₂ : Set α} {a : α} (h : s₁ ⊆ s₂) : a ∈ s₁ → a ∈ s₂ :=
@h _
#align set.mem_of_subset_of_mem Set.mem_of_subset_of_mem
theorem not_mem_subset (h : s ⊆ t) : a ∉ t → a ∉ s :=
mt <| mem_of_subset_of_mem h
#align set.not_mem_subset Set.not_mem_subset
theorem not_subset : ¬s ⊆ t ↔ ∃ a ∈ s, a ∉ t := by
simp only [subset_def, not_forall, exists_prop]
#align set.not_subset Set.not_subset
lemma eq_of_forall_subset_iff (h : ∀ u, s ⊆ u ↔ t ⊆ u) : s = t := eq_of_forall_ge_iff h
protected theorem eq_or_ssubset_of_subset (h : s ⊆ t) : s = t ∨ s ⊂ t :=
eq_or_lt_of_le h
#align set.eq_or_ssubset_of_subset Set.eq_or_ssubset_of_subset
theorem exists_of_ssubset {s t : Set α} (h : s ⊂ t) : ∃ x ∈ t, x ∉ s :=
not_subset.1 h.2
#align set.exists_of_ssubset Set.exists_of_ssubset
protected theorem ssubset_iff_subset_ne {s t : Set α} : s ⊂ t ↔ s ⊆ t ∧ s ≠ t :=
@lt_iff_le_and_ne (Set α) _ s t
#align set.ssubset_iff_subset_ne Set.ssubset_iff_subset_ne
theorem ssubset_iff_of_subset {s t : Set α} (h : s ⊆ t) : s ⊂ t ↔ ∃ x ∈ t, x ∉ s :=
⟨exists_of_ssubset, fun ⟨_, hxt, hxs⟩ => ⟨h, fun h => hxs <| h hxt⟩⟩
#align set.ssubset_iff_of_subset Set.ssubset_iff_of_subset
protected theorem ssubset_of_ssubset_of_subset {s₁ s₂ s₃ : Set α} (hs₁s₂ : s₁ ⊂ s₂)
(hs₂s₃ : s₂ ⊆ s₃) : s₁ ⊂ s₃ :=
⟨Subset.trans hs₁s₂.1 hs₂s₃, fun hs₃s₁ => hs₁s₂.2 (Subset.trans hs₂s₃ hs₃s₁)⟩
#align set.ssubset_of_ssubset_of_subset Set.ssubset_of_ssubset_of_subset
protected theorem ssubset_of_subset_of_ssubset {s₁ s₂ s₃ : Set α} (hs₁s₂ : s₁ ⊆ s₂)
(hs₂s₃ : s₂ ⊂ s₃) : s₁ ⊂ s₃ :=
⟨Subset.trans hs₁s₂ hs₂s₃.1, fun hs₃s₁ => hs₂s₃.2 (Subset.trans hs₃s₁ hs₁s₂)⟩
#align set.ssubset_of_subset_of_ssubset Set.ssubset_of_subset_of_ssubset
theorem not_mem_empty (x : α) : ¬x ∈ (∅ : Set α) :=
id
#align set.not_mem_empty Set.not_mem_empty
-- Porting note (#10618): removed `simp` because `simp` can prove it
theorem not_not_mem : ¬a ∉ s ↔ a ∈ s :=
not_not
#align set.not_not_mem Set.not_not_mem
-- Porting note: we seem to need parentheses at `(↥s)`,
-- even if we increase the right precedence of `↥` in `Mathlib.Tactic.Coe`.
-- Porting note: removed `simp` as it is competing with `nonempty_subtype`.
-- @[simp]
theorem nonempty_coe_sort {s : Set α} : Nonempty (↥s) ↔ s.Nonempty :=
nonempty_subtype
#align set.nonempty_coe_sort Set.nonempty_coe_sort
alias ⟨_, Nonempty.coe_sort⟩ := nonempty_coe_sort
#align set.nonempty.coe_sort Set.Nonempty.coe_sort
theorem nonempty_def : s.Nonempty ↔ ∃ x, x ∈ s :=
Iff.rfl
#align set.nonempty_def Set.nonempty_def
theorem nonempty_of_mem {x} (h : x ∈ s) : s.Nonempty :=
⟨x, h⟩
#align set.nonempty_of_mem Set.nonempty_of_mem
theorem Nonempty.not_subset_empty : s.Nonempty → ¬s ⊆ ∅
| ⟨_, hx⟩, hs => hs hx
#align set.nonempty.not_subset_empty Set.Nonempty.not_subset_empty
protected noncomputable def Nonempty.some (h : s.Nonempty) : α :=
Classical.choose h
#align set.nonempty.some Set.Nonempty.some
protected theorem Nonempty.some_mem (h : s.Nonempty) : h.some ∈ s :=
Classical.choose_spec h
#align set.nonempty.some_mem Set.Nonempty.some_mem
theorem Nonempty.mono (ht : s ⊆ t) (hs : s.Nonempty) : t.Nonempty :=
hs.imp ht
#align set.nonempty.mono Set.Nonempty.mono
theorem nonempty_of_not_subset (h : ¬s ⊆ t) : (s \ t).Nonempty :=
let ⟨x, xs, xt⟩ := not_subset.1 h
⟨x, xs, xt⟩
#align set.nonempty_of_not_subset Set.nonempty_of_not_subset
theorem nonempty_of_ssubset (ht : s ⊂ t) : (t \ s).Nonempty :=
nonempty_of_not_subset ht.2
#align set.nonempty_of_ssubset Set.nonempty_of_ssubset
theorem Nonempty.of_diff (h : (s \ t).Nonempty) : s.Nonempty :=
h.imp fun _ => And.left
#align set.nonempty.of_diff Set.Nonempty.of_diff
theorem nonempty_of_ssubset' (ht : s ⊂ t) : t.Nonempty :=
(nonempty_of_ssubset ht).of_diff
#align set.nonempty_of_ssubset' Set.nonempty_of_ssubset'
theorem Nonempty.inl (hs : s.Nonempty) : (s ∪ t).Nonempty :=
hs.imp fun _ => Or.inl
#align set.nonempty.inl Set.Nonempty.inl
theorem Nonempty.inr (ht : t.Nonempty) : (s ∪ t).Nonempty :=
ht.imp fun _ => Or.inr
#align set.nonempty.inr Set.Nonempty.inr
@[simp]
theorem union_nonempty : (s ∪ t).Nonempty ↔ s.Nonempty ∨ t.Nonempty :=
exists_or
#align set.union_nonempty Set.union_nonempty
theorem Nonempty.left (h : (s ∩ t).Nonempty) : s.Nonempty :=
h.imp fun _ => And.left
#align set.nonempty.left Set.Nonempty.left
theorem Nonempty.right (h : (s ∩ t).Nonempty) : t.Nonempty :=
h.imp fun _ => And.right
#align set.nonempty.right Set.Nonempty.right
theorem inter_nonempty : (s ∩ t).Nonempty ↔ ∃ x, x ∈ s ∧ x ∈ t :=
Iff.rfl
#align set.inter_nonempty Set.inter_nonempty
theorem inter_nonempty_iff_exists_left : (s ∩ t).Nonempty ↔ ∃ x ∈ s, x ∈ t := by
simp_rw [inter_nonempty]
#align set.inter_nonempty_iff_exists_left Set.inter_nonempty_iff_exists_left
theorem inter_nonempty_iff_exists_right : (s ∩ t).Nonempty ↔ ∃ x ∈ t, x ∈ s := by
simp_rw [inter_nonempty, and_comm]
#align set.inter_nonempty_iff_exists_right Set.inter_nonempty_iff_exists_right
theorem nonempty_iff_univ_nonempty : Nonempty α ↔ (univ : Set α).Nonempty :=
⟨fun ⟨x⟩ => ⟨x, trivial⟩, fun ⟨x, _⟩ => ⟨x⟩⟩
#align set.nonempty_iff_univ_nonempty Set.nonempty_iff_univ_nonempty
@[simp]
theorem univ_nonempty : ∀ [Nonempty α], (univ : Set α).Nonempty
| ⟨x⟩ => ⟨x, trivial⟩
#align set.univ_nonempty Set.univ_nonempty
theorem Nonempty.to_subtype : s.Nonempty → Nonempty (↥s) :=
nonempty_subtype.2
#align set.nonempty.to_subtype Set.Nonempty.to_subtype
theorem Nonempty.to_type : s.Nonempty → Nonempty α := fun ⟨x, _⟩ => ⟨x⟩
#align set.nonempty.to_type Set.Nonempty.to_type
instance univ.nonempty [Nonempty α] : Nonempty (↥(Set.univ : Set α)) :=
Set.univ_nonempty.to_subtype
#align set.univ.nonempty Set.univ.nonempty
theorem nonempty_of_nonempty_subtype [Nonempty (↥s)] : s.Nonempty :=
nonempty_subtype.mp ‹_›
#align set.nonempty_of_nonempty_subtype Set.nonempty_of_nonempty_subtype
theorem empty_def : (∅ : Set α) = { _x : α | False } :=
rfl
#align set.empty_def Set.empty_def
@[simp]
theorem mem_empty_iff_false (x : α) : x ∈ (∅ : Set α) ↔ False :=
Iff.rfl
#align set.mem_empty_iff_false Set.mem_empty_iff_false
@[simp]
theorem setOf_false : { _a : α | False } = ∅ :=
rfl
#align set.set_of_false Set.setOf_false
@[simp] theorem setOf_bot : { _x : α | ⊥ } = ∅ := rfl
@[simp]
theorem empty_subset (s : Set α) : ∅ ⊆ s :=
nofun
#align set.empty_subset Set.empty_subset
theorem subset_empty_iff {s : Set α} : s ⊆ ∅ ↔ s = ∅ :=
(Subset.antisymm_iff.trans <| and_iff_left (empty_subset _)).symm
#align set.subset_empty_iff Set.subset_empty_iff
theorem eq_empty_iff_forall_not_mem {s : Set α} : s = ∅ ↔ ∀ x, x ∉ s :=
subset_empty_iff.symm
#align set.eq_empty_iff_forall_not_mem Set.eq_empty_iff_forall_not_mem
theorem eq_empty_of_forall_not_mem (h : ∀ x, x ∉ s) : s = ∅ :=
subset_empty_iff.1 h
#align set.eq_empty_of_forall_not_mem Set.eq_empty_of_forall_not_mem
theorem eq_empty_of_subset_empty {s : Set α} : s ⊆ ∅ → s = ∅ :=
subset_empty_iff.1
#align set.eq_empty_of_subset_empty Set.eq_empty_of_subset_empty
theorem eq_empty_of_isEmpty [IsEmpty α] (s : Set α) : s = ∅ :=
eq_empty_of_subset_empty fun x _ => isEmptyElim x
#align set.eq_empty_of_is_empty Set.eq_empty_of_isEmpty
instance uniqueEmpty [IsEmpty α] : Unique (Set α) where
default := ∅
uniq := eq_empty_of_isEmpty
#align set.unique_empty Set.uniqueEmpty
theorem not_nonempty_iff_eq_empty {s : Set α} : ¬s.Nonempty ↔ s = ∅ := by
simp only [Set.Nonempty, not_exists, eq_empty_iff_forall_not_mem]
#align set.not_nonempty_iff_eq_empty Set.not_nonempty_iff_eq_empty
theorem nonempty_iff_ne_empty : s.Nonempty ↔ s ≠ ∅ :=
not_nonempty_iff_eq_empty.not_right
#align set.nonempty_iff_ne_empty Set.nonempty_iff_ne_empty
theorem not_nonempty_iff_eq_empty' : ¬Nonempty s ↔ s = ∅ := by
rw [nonempty_subtype, not_exists, eq_empty_iff_forall_not_mem]
theorem nonempty_iff_ne_empty' : Nonempty s ↔ s ≠ ∅ :=
not_nonempty_iff_eq_empty'.not_right
alias ⟨Nonempty.ne_empty, _⟩ := nonempty_iff_ne_empty
#align set.nonempty.ne_empty Set.Nonempty.ne_empty
@[simp]
theorem not_nonempty_empty : ¬(∅ : Set α).Nonempty := fun ⟨_, hx⟩ => hx
#align set.not_nonempty_empty Set.not_nonempty_empty
-- Porting note: removing `@[simp]` as it is competing with `isEmpty_subtype`.
-- @[simp]
theorem isEmpty_coe_sort {s : Set α} : IsEmpty (↥s) ↔ s = ∅ :=
not_iff_not.1 <| by simpa using nonempty_iff_ne_empty
#align set.is_empty_coe_sort Set.isEmpty_coe_sort
theorem eq_empty_or_nonempty (s : Set α) : s = ∅ ∨ s.Nonempty :=
or_iff_not_imp_left.2 nonempty_iff_ne_empty.2
#align set.eq_empty_or_nonempty Set.eq_empty_or_nonempty
theorem subset_eq_empty {s t : Set α} (h : t ⊆ s) (e : s = ∅) : t = ∅ :=
subset_empty_iff.1 <| e ▸ h
#align set.subset_eq_empty Set.subset_eq_empty
theorem forall_mem_empty {p : α → Prop} : (∀ x ∈ (∅ : Set α), p x) ↔ True :=
iff_true_intro fun _ => False.elim
#align set.ball_empty_iff Set.forall_mem_empty
@[deprecated (since := "2024-03-23")] alias ball_empty_iff := forall_mem_empty
instance (α : Type u) : IsEmpty.{u + 1} (↥(∅ : Set α)) :=
⟨fun x => x.2⟩
@[simp]
theorem empty_ssubset : ∅ ⊂ s ↔ s.Nonempty :=
(@bot_lt_iff_ne_bot (Set α) _ _ _).trans nonempty_iff_ne_empty.symm
#align set.empty_ssubset Set.empty_ssubset
alias ⟨_, Nonempty.empty_ssubset⟩ := empty_ssubset
#align set.nonempty.empty_ssubset Set.Nonempty.empty_ssubset
@[simp]
theorem setOf_true : { _x : α | True } = univ :=
rfl
#align set.set_of_true Set.setOf_true
@[simp] theorem setOf_top : { _x : α | ⊤ } = univ := rfl
@[simp]
theorem univ_eq_empty_iff : (univ : Set α) = ∅ ↔ IsEmpty α :=
eq_empty_iff_forall_not_mem.trans
⟨fun H => ⟨fun x => H x trivial⟩, fun H x _ => @IsEmpty.false α H x⟩
#align set.univ_eq_empty_iff Set.univ_eq_empty_iff
theorem empty_ne_univ [Nonempty α] : (∅ : Set α) ≠ univ := fun e =>
not_isEmpty_of_nonempty α <| univ_eq_empty_iff.1 e.symm
#align set.empty_ne_univ Set.empty_ne_univ
@[simp]
theorem subset_univ (s : Set α) : s ⊆ univ := fun _ _ => trivial
#align set.subset_univ Set.subset_univ
@[simp]
theorem univ_subset_iff {s : Set α} : univ ⊆ s ↔ s = univ :=
@top_le_iff _ _ _ s
#align set.univ_subset_iff Set.univ_subset_iff
alias ⟨eq_univ_of_univ_subset, _⟩ := univ_subset_iff
#align set.eq_univ_of_univ_subset Set.eq_univ_of_univ_subset
theorem eq_univ_iff_forall {s : Set α} : s = univ ↔ ∀ x, x ∈ s :=
univ_subset_iff.symm.trans <| forall_congr' fun _ => imp_iff_right trivial
#align set.eq_univ_iff_forall Set.eq_univ_iff_forall
theorem eq_univ_of_forall {s : Set α} : (∀ x, x ∈ s) → s = univ :=
eq_univ_iff_forall.2
#align set.eq_univ_of_forall Set.eq_univ_of_forall
theorem Nonempty.eq_univ [Subsingleton α] : s.Nonempty → s = univ := by
rintro ⟨x, hx⟩
exact eq_univ_of_forall fun y => by rwa [Subsingleton.elim y x]
#align set.nonempty.eq_univ Set.Nonempty.eq_univ
theorem eq_univ_of_subset {s t : Set α} (h : s ⊆ t) (hs : s = univ) : t = univ :=
eq_univ_of_univ_subset <| (hs ▸ h : univ ⊆ t)
#align set.eq_univ_of_subset Set.eq_univ_of_subset
theorem exists_mem_of_nonempty (α) : ∀ [Nonempty α], ∃ x : α, x ∈ (univ : Set α)
| ⟨x⟩ => ⟨x, trivial⟩
#align set.exists_mem_of_nonempty Set.exists_mem_of_nonempty
theorem ne_univ_iff_exists_not_mem {α : Type*} (s : Set α) : s ≠ univ ↔ ∃ a, a ∉ s := by
rw [← not_forall, ← eq_univ_iff_forall]
#align set.ne_univ_iff_exists_not_mem Set.ne_univ_iff_exists_not_mem
theorem not_subset_iff_exists_mem_not_mem {α : Type*} {s t : Set α} :
¬s ⊆ t ↔ ∃ x, x ∈ s ∧ x ∉ t := by simp [subset_def]
#align set.not_subset_iff_exists_mem_not_mem Set.not_subset_iff_exists_mem_not_mem
theorem univ_unique [Unique α] : @Set.univ α = {default} :=
Set.ext fun x => iff_of_true trivial <| Subsingleton.elim x default
#align set.univ_unique Set.univ_unique
theorem ssubset_univ_iff : s ⊂ univ ↔ s ≠ univ :=
lt_top_iff_ne_top
#align set.ssubset_univ_iff Set.ssubset_univ_iff
instance nontrivial_of_nonempty [Nonempty α] : Nontrivial (Set α) :=
⟨⟨∅, univ, empty_ne_univ⟩⟩
#align set.nontrivial_of_nonempty Set.nontrivial_of_nonempty
theorem union_def {s₁ s₂ : Set α} : s₁ ∪ s₂ = { a | a ∈ s₁ ∨ a ∈ s₂ } :=
rfl
#align set.union_def Set.union_def
theorem mem_union_left {x : α} {a : Set α} (b : Set α) : x ∈ a → x ∈ a ∪ b :=
Or.inl
#align set.mem_union_left Set.mem_union_left
theorem mem_union_right {x : α} {b : Set α} (a : Set α) : x ∈ b → x ∈ a ∪ b :=
Or.inr
#align set.mem_union_right Set.mem_union_right
theorem mem_or_mem_of_mem_union {x : α} {a b : Set α} (H : x ∈ a ∪ b) : x ∈ a ∨ x ∈ b :=
H
#align set.mem_or_mem_of_mem_union Set.mem_or_mem_of_mem_union
theorem MemUnion.elim {x : α} {a b : Set α} {P : Prop} (H₁ : x ∈ a ∪ b) (H₂ : x ∈ a → P)
(H₃ : x ∈ b → P) : P :=
Or.elim H₁ H₂ H₃
#align set.mem_union.elim Set.MemUnion.elim
@[simp]
theorem mem_union (x : α) (a b : Set α) : x ∈ a ∪ b ↔ x ∈ a ∨ x ∈ b :=
Iff.rfl
#align set.mem_union Set.mem_union
@[simp]
theorem union_self (a : Set α) : a ∪ a = a :=
ext fun _ => or_self_iff
#align set.union_self Set.union_self
@[simp]
theorem union_empty (a : Set α) : a ∪ ∅ = a :=
ext fun _ => or_false_iff _
#align set.union_empty Set.union_empty
@[simp]
theorem empty_union (a : Set α) : ∅ ∪ a = a :=
ext fun _ => false_or_iff _
#align set.empty_union Set.empty_union
theorem union_comm (a b : Set α) : a ∪ b = b ∪ a :=
ext fun _ => or_comm
#align set.union_comm Set.union_comm
theorem union_assoc (a b c : Set α) : a ∪ b ∪ c = a ∪ (b ∪ c) :=
ext fun _ => or_assoc
#align set.union_assoc Set.union_assoc
instance union_isAssoc : Std.Associative (α := Set α) (· ∪ ·) :=
⟨union_assoc⟩
#align set.union_is_assoc Set.union_isAssoc
instance union_isComm : Std.Commutative (α := Set α) (· ∪ ·) :=
⟨union_comm⟩
#align set.union_is_comm Set.union_isComm
theorem union_left_comm (s₁ s₂ s₃ : Set α) : s₁ ∪ (s₂ ∪ s₃) = s₂ ∪ (s₁ ∪ s₃) :=
ext fun _ => or_left_comm
#align set.union_left_comm Set.union_left_comm
theorem union_right_comm (s₁ s₂ s₃ : Set α) : s₁ ∪ s₂ ∪ s₃ = s₁ ∪ s₃ ∪ s₂ :=
ext fun _ => or_right_comm
#align set.union_right_comm Set.union_right_comm
@[simp]
theorem union_eq_left {s t : Set α} : s ∪ t = s ↔ t ⊆ s :=
sup_eq_left
#align set.union_eq_left_iff_subset Set.union_eq_left
@[simp]
theorem union_eq_right {s t : Set α} : s ∪ t = t ↔ s ⊆ t :=
sup_eq_right
#align set.union_eq_right_iff_subset Set.union_eq_right
theorem union_eq_self_of_subset_left {s t : Set α} (h : s ⊆ t) : s ∪ t = t :=
union_eq_right.mpr h
#align set.union_eq_self_of_subset_left Set.union_eq_self_of_subset_left
theorem union_eq_self_of_subset_right {s t : Set α} (h : t ⊆ s) : s ∪ t = s :=
union_eq_left.mpr h
#align set.union_eq_self_of_subset_right Set.union_eq_self_of_subset_right
@[simp]
theorem subset_union_left {s t : Set α} : s ⊆ s ∪ t := fun _ => Or.inl
#align set.subset_union_left Set.subset_union_left
@[simp]
theorem subset_union_right {s t : Set α} : t ⊆ s ∪ t := fun _ => Or.inr
#align set.subset_union_right Set.subset_union_right
theorem union_subset {s t r : Set α} (sr : s ⊆ r) (tr : t ⊆ r) : s ∪ t ⊆ r := fun _ =>
Or.rec (@sr _) (@tr _)
#align set.union_subset Set.union_subset
@[simp]
theorem union_subset_iff {s t u : Set α} : s ∪ t ⊆ u ↔ s ⊆ u ∧ t ⊆ u :=
(forall_congr' fun _ => or_imp).trans forall_and
#align set.union_subset_iff Set.union_subset_iff
@[gcongr]
theorem union_subset_union {s₁ s₂ t₁ t₂ : Set α} (h₁ : s₁ ⊆ s₂) (h₂ : t₁ ⊆ t₂) :
s₁ ∪ t₁ ⊆ s₂ ∪ t₂ := fun _ => Or.imp (@h₁ _) (@h₂ _)
#align set.union_subset_union Set.union_subset_union
@[gcongr]
theorem union_subset_union_left {s₁ s₂ : Set α} (t) (h : s₁ ⊆ s₂) : s₁ ∪ t ⊆ s₂ ∪ t :=
union_subset_union h Subset.rfl
#align set.union_subset_union_left Set.union_subset_union_left
@[gcongr]
theorem union_subset_union_right (s) {t₁ t₂ : Set α} (h : t₁ ⊆ t₂) : s ∪ t₁ ⊆ s ∪ t₂ :=
union_subset_union Subset.rfl h
#align set.union_subset_union_right Set.union_subset_union_right
theorem subset_union_of_subset_left {s t : Set α} (h : s ⊆ t) (u : Set α) : s ⊆ t ∪ u :=
h.trans subset_union_left
#align set.subset_union_of_subset_left Set.subset_union_of_subset_left
theorem subset_union_of_subset_right {s u : Set α} (h : s ⊆ u) (t : Set α) : s ⊆ t ∪ u :=
h.trans subset_union_right
#align set.subset_union_of_subset_right Set.subset_union_of_subset_right
-- Porting note: replaced `⊔` in RHS
theorem union_congr_left (ht : t ⊆ s ∪ u) (hu : u ⊆ s ∪ t) : s ∪ t = s ∪ u :=
sup_congr_left ht hu
#align set.union_congr_left Set.union_congr_left
theorem union_congr_right (hs : s ⊆ t ∪ u) (ht : t ⊆ s ∪ u) : s ∪ u = t ∪ u :=
sup_congr_right hs ht
#align set.union_congr_right Set.union_congr_right
theorem union_eq_union_iff_left : s ∪ t = s ∪ u ↔ t ⊆ s ∪ u ∧ u ⊆ s ∪ t :=
sup_eq_sup_iff_left
#align set.union_eq_union_iff_left Set.union_eq_union_iff_left
theorem union_eq_union_iff_right : s ∪ u = t ∪ u ↔ s ⊆ t ∪ u ∧ t ⊆ s ∪ u :=
sup_eq_sup_iff_right
#align set.union_eq_union_iff_right Set.union_eq_union_iff_right
@[simp]
theorem union_empty_iff {s t : Set α} : s ∪ t = ∅ ↔ s = ∅ ∧ t = ∅ := by
simp only [← subset_empty_iff]
exact union_subset_iff
#align set.union_empty_iff Set.union_empty_iff
@[simp]
theorem union_univ (s : Set α) : s ∪ univ = univ := sup_top_eq _
#align set.union_univ Set.union_univ
@[simp]
theorem univ_union (s : Set α) : univ ∪ s = univ := top_sup_eq _
#align set.univ_union Set.univ_union
theorem inter_def {s₁ s₂ : Set α} : s₁ ∩ s₂ = { a | a ∈ s₁ ∧ a ∈ s₂ } :=
rfl
#align set.inter_def Set.inter_def
@[simp, mfld_simps]
theorem mem_inter_iff (x : α) (a b : Set α) : x ∈ a ∩ b ↔ x ∈ a ∧ x ∈ b :=
Iff.rfl
#align set.mem_inter_iff Set.mem_inter_iff
theorem mem_inter {x : α} {a b : Set α} (ha : x ∈ a) (hb : x ∈ b) : x ∈ a ∩ b :=
⟨ha, hb⟩
#align set.mem_inter Set.mem_inter
theorem mem_of_mem_inter_left {x : α} {a b : Set α} (h : x ∈ a ∩ b) : x ∈ a :=
h.left
#align set.mem_of_mem_inter_left Set.mem_of_mem_inter_left
theorem mem_of_mem_inter_right {x : α} {a b : Set α} (h : x ∈ a ∩ b) : x ∈ b :=
h.right
#align set.mem_of_mem_inter_right Set.mem_of_mem_inter_right
@[simp]
theorem inter_self (a : Set α) : a ∩ a = a :=
ext fun _ => and_self_iff
#align set.inter_self Set.inter_self
@[simp]
theorem inter_empty (a : Set α) : a ∩ ∅ = ∅ :=
ext fun _ => and_false_iff _
#align set.inter_empty Set.inter_empty
@[simp]
theorem empty_inter (a : Set α) : ∅ ∩ a = ∅ :=
ext fun _ => false_and_iff _
#align set.empty_inter Set.empty_inter
theorem inter_comm (a b : Set α) : a ∩ b = b ∩ a :=
ext fun _ => and_comm
#align set.inter_comm Set.inter_comm
theorem inter_assoc (a b c : Set α) : a ∩ b ∩ c = a ∩ (b ∩ c) :=
ext fun _ => and_assoc
#align set.inter_assoc Set.inter_assoc
instance inter_isAssoc : Std.Associative (α := Set α) (· ∩ ·) :=
⟨inter_assoc⟩
#align set.inter_is_assoc Set.inter_isAssoc
instance inter_isComm : Std.Commutative (α := Set α) (· ∩ ·) :=
⟨inter_comm⟩
#align set.inter_is_comm Set.inter_isComm
theorem inter_left_comm (s₁ s₂ s₃ : Set α) : s₁ ∩ (s₂ ∩ s₃) = s₂ ∩ (s₁ ∩ s₃) :=
ext fun _ => and_left_comm
#align set.inter_left_comm Set.inter_left_comm
theorem inter_right_comm (s₁ s₂ s₃ : Set α) : s₁ ∩ s₂ ∩ s₃ = s₁ ∩ s₃ ∩ s₂ :=
ext fun _ => and_right_comm
#align set.inter_right_comm Set.inter_right_comm
@[simp, mfld_simps]
theorem inter_subset_left {s t : Set α} : s ∩ t ⊆ s := fun _ => And.left
#align set.inter_subset_left Set.inter_subset_left
@[simp]
theorem inter_subset_right {s t : Set α} : s ∩ t ⊆ t := fun _ => And.right
#align set.inter_subset_right Set.inter_subset_right
theorem subset_inter {s t r : Set α} (rs : r ⊆ s) (rt : r ⊆ t) : r ⊆ s ∩ t := fun _ h =>
⟨rs h, rt h⟩
#align set.subset_inter Set.subset_inter
@[simp]
theorem subset_inter_iff {s t r : Set α} : r ⊆ s ∩ t ↔ r ⊆ s ∧ r ⊆ t :=
(forall_congr' fun _ => imp_and).trans forall_and
#align set.subset_inter_iff Set.subset_inter_iff
@[simp] lemma inter_eq_left : s ∩ t = s ↔ s ⊆ t := inf_eq_left
#align set.inter_eq_left_iff_subset Set.inter_eq_left
@[simp] lemma inter_eq_right : s ∩ t = t ↔ t ⊆ s := inf_eq_right
#align set.inter_eq_right_iff_subset Set.inter_eq_right
@[simp] lemma left_eq_inter : s = s ∩ t ↔ s ⊆ t := left_eq_inf
@[simp] lemma right_eq_inter : t = s ∩ t ↔ t ⊆ s := right_eq_inf
theorem inter_eq_self_of_subset_left {s t : Set α} : s ⊆ t → s ∩ t = s :=
inter_eq_left.mpr
#align set.inter_eq_self_of_subset_left Set.inter_eq_self_of_subset_left
theorem inter_eq_self_of_subset_right {s t : Set α} : t ⊆ s → s ∩ t = t :=
inter_eq_right.mpr
#align set.inter_eq_self_of_subset_right Set.inter_eq_self_of_subset_right
theorem inter_congr_left (ht : s ∩ u ⊆ t) (hu : s ∩ t ⊆ u) : s ∩ t = s ∩ u :=
inf_congr_left ht hu
#align set.inter_congr_left Set.inter_congr_left
theorem inter_congr_right (hs : t ∩ u ⊆ s) (ht : s ∩ u ⊆ t) : s ∩ u = t ∩ u :=
inf_congr_right hs ht
#align set.inter_congr_right Set.inter_congr_right
theorem inter_eq_inter_iff_left : s ∩ t = s ∩ u ↔ s ∩ u ⊆ t ∧ s ∩ t ⊆ u :=
inf_eq_inf_iff_left
#align set.inter_eq_inter_iff_left Set.inter_eq_inter_iff_left
theorem inter_eq_inter_iff_right : s ∩ u = t ∩ u ↔ t ∩ u ⊆ s ∧ s ∩ u ⊆ t :=
inf_eq_inf_iff_right
#align set.inter_eq_inter_iff_right Set.inter_eq_inter_iff_right
@[simp, mfld_simps]
theorem inter_univ (a : Set α) : a ∩ univ = a := inf_top_eq _
#align set.inter_univ Set.inter_univ
@[simp, mfld_simps]
theorem univ_inter (a : Set α) : univ ∩ a = a := top_inf_eq _
#align set.univ_inter Set.univ_inter
@[gcongr]
theorem inter_subset_inter {s₁ s₂ t₁ t₂ : Set α} (h₁ : s₁ ⊆ t₁) (h₂ : s₂ ⊆ t₂) :
s₁ ∩ s₂ ⊆ t₁ ∩ t₂ := fun _ => And.imp (@h₁ _) (@h₂ _)
#align set.inter_subset_inter Set.inter_subset_inter
@[gcongr]
theorem inter_subset_inter_left {s t : Set α} (u : Set α) (H : s ⊆ t) : s ∩ u ⊆ t ∩ u :=
inter_subset_inter H Subset.rfl
#align set.inter_subset_inter_left Set.inter_subset_inter_left
@[gcongr]
theorem inter_subset_inter_right {s t : Set α} (u : Set α) (H : s ⊆ t) : u ∩ s ⊆ u ∩ t :=
inter_subset_inter Subset.rfl H
#align set.inter_subset_inter_right Set.inter_subset_inter_right
theorem union_inter_cancel_left {s t : Set α} : (s ∪ t) ∩ s = s :=
inter_eq_self_of_subset_right subset_union_left
#align set.union_inter_cancel_left Set.union_inter_cancel_left
theorem union_inter_cancel_right {s t : Set α} : (s ∪ t) ∩ t = t :=
inter_eq_self_of_subset_right subset_union_right
#align set.union_inter_cancel_right Set.union_inter_cancel_right
theorem inter_setOf_eq_sep (s : Set α) (p : α → Prop) : s ∩ {a | p a} = {a ∈ s | p a} :=
rfl
#align set.inter_set_of_eq_sep Set.inter_setOf_eq_sep
theorem setOf_inter_eq_sep (p : α → Prop) (s : Set α) : {a | p a} ∩ s = {a ∈ s | p a} :=
inter_comm _ _
#align set.set_of_inter_eq_sep Set.setOf_inter_eq_sep
theorem inter_union_distrib_left (s t u : Set α) : s ∩ (t ∪ u) = s ∩ t ∪ s ∩ u :=
inf_sup_left _ _ _
#align set.inter_distrib_left Set.inter_union_distrib_left
theorem union_inter_distrib_right (s t u : Set α) : (s ∪ t) ∩ u = s ∩ u ∪ t ∩ u :=
inf_sup_right _ _ _
#align set.inter_distrib_right Set.union_inter_distrib_right
theorem union_inter_distrib_left (s t u : Set α) : s ∪ t ∩ u = (s ∪ t) ∩ (s ∪ u) :=
sup_inf_left _ _ _
#align set.union_distrib_left Set.union_inter_distrib_left
theorem inter_union_distrib_right (s t u : Set α) : s ∩ t ∪ u = (s ∪ u) ∩ (t ∪ u) :=
sup_inf_right _ _ _
#align set.union_distrib_right Set.inter_union_distrib_right
-- 2024-03-22
@[deprecated] alias inter_distrib_left := inter_union_distrib_left
@[deprecated] alias inter_distrib_right := union_inter_distrib_right
@[deprecated] alias union_distrib_left := union_inter_distrib_left
@[deprecated] alias union_distrib_right := inter_union_distrib_right
theorem union_union_distrib_left (s t u : Set α) : s ∪ (t ∪ u) = s ∪ t ∪ (s ∪ u) :=
sup_sup_distrib_left _ _ _
#align set.union_union_distrib_left Set.union_union_distrib_left
theorem union_union_distrib_right (s t u : Set α) : s ∪ t ∪ u = s ∪ u ∪ (t ∪ u) :=
sup_sup_distrib_right _ _ _
#align set.union_union_distrib_right Set.union_union_distrib_right
theorem inter_inter_distrib_left (s t u : Set α) : s ∩ (t ∩ u) = s ∩ t ∩ (s ∩ u) :=
inf_inf_distrib_left _ _ _
#align set.inter_inter_distrib_left Set.inter_inter_distrib_left
theorem inter_inter_distrib_right (s t u : Set α) : s ∩ t ∩ u = s ∩ u ∩ (t ∩ u) :=
inf_inf_distrib_right _ _ _
#align set.inter_inter_distrib_right Set.inter_inter_distrib_right
theorem union_union_union_comm (s t u v : Set α) : s ∪ t ∪ (u ∪ v) = s ∪ u ∪ (t ∪ v) :=
sup_sup_sup_comm _ _ _ _
#align set.union_union_union_comm Set.union_union_union_comm
theorem inter_inter_inter_comm (s t u v : Set α) : s ∩ t ∩ (u ∩ v) = s ∩ u ∩ (t ∩ v) :=
inf_inf_inf_comm _ _ _ _
#align set.inter_inter_inter_comm Set.inter_inter_inter_comm
theorem insert_def (x : α) (s : Set α) : insert x s = { y | y = x ∨ y ∈ s } :=
rfl
#align set.insert_def Set.insert_def
@[simp]
theorem subset_insert (x : α) (s : Set α) : s ⊆ insert x s := fun _ => Or.inr
#align set.subset_insert Set.subset_insert
theorem mem_insert (x : α) (s : Set α) : x ∈ insert x s :=
Or.inl rfl
#align set.mem_insert Set.mem_insert
theorem mem_insert_of_mem {x : α} {s : Set α} (y : α) : x ∈ s → x ∈ insert y s :=
Or.inr
#align set.mem_insert_of_mem Set.mem_insert_of_mem
theorem eq_or_mem_of_mem_insert {x a : α} {s : Set α} : x ∈ insert a s → x = a ∨ x ∈ s :=
id
#align set.eq_or_mem_of_mem_insert Set.eq_or_mem_of_mem_insert
theorem mem_of_mem_insert_of_ne : b ∈ insert a s → b ≠ a → b ∈ s :=
Or.resolve_left
#align set.mem_of_mem_insert_of_ne Set.mem_of_mem_insert_of_ne
theorem eq_of_not_mem_of_mem_insert : b ∈ insert a s → b ∉ s → b = a :=
Or.resolve_right
#align set.eq_of_not_mem_of_mem_insert Set.eq_of_not_mem_of_mem_insert
@[simp]
theorem mem_insert_iff {x a : α} {s : Set α} : x ∈ insert a s ↔ x = a ∨ x ∈ s :=
Iff.rfl
#align set.mem_insert_iff Set.mem_insert_iff
@[simp]
theorem insert_eq_of_mem {a : α} {s : Set α} (h : a ∈ s) : insert a s = s :=
ext fun _ => or_iff_right_of_imp fun e => e.symm ▸ h
#align set.insert_eq_of_mem Set.insert_eq_of_mem
theorem ne_insert_of_not_mem {s : Set α} (t : Set α) {a : α} : a ∉ s → s ≠ insert a t :=
mt fun e => e.symm ▸ mem_insert _ _
#align set.ne_insert_of_not_mem Set.ne_insert_of_not_mem
@[simp]
theorem insert_eq_self : insert a s = s ↔ a ∈ s :=
⟨fun h => h ▸ mem_insert _ _, insert_eq_of_mem⟩
#align set.insert_eq_self Set.insert_eq_self
theorem insert_ne_self : insert a s ≠ s ↔ a ∉ s :=
insert_eq_self.not
#align set.insert_ne_self Set.insert_ne_self
theorem insert_subset_iff : insert a s ⊆ t ↔ a ∈ t ∧ s ⊆ t := by
simp only [subset_def, mem_insert_iff, or_imp, forall_and, forall_eq]
#align set.insert_subset Set.insert_subset_iff
theorem insert_subset (ha : a ∈ t) (hs : s ⊆ t) : insert a s ⊆ t :=
insert_subset_iff.mpr ⟨ha, hs⟩
theorem insert_subset_insert (h : s ⊆ t) : insert a s ⊆ insert a t := fun _ => Or.imp_right (@h _)
#align set.insert_subset_insert Set.insert_subset_insert
@[simp] theorem insert_subset_insert_iff (ha : a ∉ s) : insert a s ⊆ insert a t ↔ s ⊆ t := by
refine ⟨fun h x hx => ?_, insert_subset_insert⟩
rcases h (subset_insert _ _ hx) with (rfl | hxt)
exacts [(ha hx).elim, hxt]
#align set.insert_subset_insert_iff Set.insert_subset_insert_iff
theorem subset_insert_iff_of_not_mem (ha : a ∉ s) : s ⊆ insert a t ↔ s ⊆ t :=
forall₂_congr fun _ hb => or_iff_right <| ne_of_mem_of_not_mem hb ha
#align set.subset_insert_iff_of_not_mem Set.subset_insert_iff_of_not_mem
theorem ssubset_iff_insert {s t : Set α} : s ⊂ t ↔ ∃ a ∉ s, insert a s ⊆ t := by
simp only [insert_subset_iff, exists_and_right, ssubset_def, not_subset]
aesop
#align set.ssubset_iff_insert Set.ssubset_iff_insert
theorem ssubset_insert {s : Set α} {a : α} (h : a ∉ s) : s ⊂ insert a s :=
ssubset_iff_insert.2 ⟨a, h, Subset.rfl⟩
#align set.ssubset_insert Set.ssubset_insert
theorem insert_comm (a b : α) (s : Set α) : insert a (insert b s) = insert b (insert a s) :=
ext fun _ => or_left_comm
#align set.insert_comm Set.insert_comm
-- Porting note (#10618): removing `simp` attribute because `simp` can prove it
theorem insert_idem (a : α) (s : Set α) : insert a (insert a s) = insert a s :=
insert_eq_of_mem <| mem_insert _ _
#align set.insert_idem Set.insert_idem
theorem insert_union : insert a s ∪ t = insert a (s ∪ t) :=
ext fun _ => or_assoc
#align set.insert_union Set.insert_union
@[simp]
theorem union_insert : s ∪ insert a t = insert a (s ∪ t) :=
ext fun _ => or_left_comm
#align set.union_insert Set.union_insert
@[simp]
theorem insert_nonempty (a : α) (s : Set α) : (insert a s).Nonempty :=
⟨a, mem_insert a s⟩
#align set.insert_nonempty Set.insert_nonempty
instance (a : α) (s : Set α) : Nonempty (insert a s : Set α) :=
(insert_nonempty a s).to_subtype
theorem insert_inter_distrib (a : α) (s t : Set α) : insert a (s ∩ t) = insert a s ∩ insert a t :=
ext fun _ => or_and_left
#align set.insert_inter_distrib Set.insert_inter_distrib
theorem insert_union_distrib (a : α) (s t : Set α) : insert a (s ∪ t) = insert a s ∪ insert a t :=
ext fun _ => or_or_distrib_left
#align set.insert_union_distrib Set.insert_union_distrib
theorem insert_inj (ha : a ∉ s) : insert a s = insert b s ↔ a = b :=
⟨fun h => eq_of_not_mem_of_mem_insert (h.subst <| mem_insert a s) ha,
congr_arg (fun x => insert x s)⟩
#align set.insert_inj Set.insert_inj
-- useful in proofs by induction
theorem forall_of_forall_insert {P : α → Prop} {a : α} {s : Set α} (H : ∀ x, x ∈ insert a s → P x)
(x) (h : x ∈ s) : P x :=
H _ (Or.inr h)
#align set.forall_of_forall_insert Set.forall_of_forall_insert
theorem forall_insert_of_forall {P : α → Prop} {a : α} {s : Set α} (H : ∀ x, x ∈ s → P x) (ha : P a)
(x) (h : x ∈ insert a s) : P x :=
h.elim (fun e => e.symm ▸ ha) (H _)
#align set.forall_insert_of_forall Set.forall_insert_of_forall
theorem exists_mem_insert {P : α → Prop} {a : α} {s : Set α} :
(∃ x ∈ insert a s, P x) ↔ (P a ∨ ∃ x ∈ s, P x) := by
simp [mem_insert_iff, or_and_right, exists_and_left, exists_or]
#align set.bex_insert_iff Set.exists_mem_insert
@[deprecated (since := "2024-03-23")] alias bex_insert_iff := exists_mem_insert
theorem forall_mem_insert {P : α → Prop} {a : α} {s : Set α} :
(∀ x ∈ insert a s, P x) ↔ P a ∧ ∀ x ∈ s, P x :=
forall₂_or_left.trans <| and_congr_left' forall_eq
#align set.ball_insert_iff Set.forall_mem_insert
@[deprecated (since := "2024-03-23")] alias ball_insert_iff := forall_mem_insert
instance : LawfulSingleton α (Set α) :=
⟨fun x => Set.ext fun a => by
simp only [mem_empty_iff_false, mem_insert_iff, or_false]
exact Iff.rfl⟩
theorem singleton_def (a : α) : ({a} : Set α) = insert a ∅ :=
(insert_emptyc_eq a).symm
#align set.singleton_def Set.singleton_def
@[simp]
theorem mem_singleton_iff {a b : α} : a ∈ ({b} : Set α) ↔ a = b :=
Iff.rfl
#align set.mem_singleton_iff Set.mem_singleton_iff
@[simp]
theorem setOf_eq_eq_singleton {a : α} : { n | n = a } = {a} :=
rfl
#align set.set_of_eq_eq_singleton Set.setOf_eq_eq_singleton
@[simp]
theorem setOf_eq_eq_singleton' {a : α} : { x | a = x } = {a} :=
ext fun _ => eq_comm
#align set.set_of_eq_eq_singleton' Set.setOf_eq_eq_singleton'
-- TODO: again, annotation needed
--Porting note (#11119): removed `simp` attribute
theorem mem_singleton (a : α) : a ∈ ({a} : Set α) :=
@rfl _ _
#align set.mem_singleton Set.mem_singleton
theorem eq_of_mem_singleton {x y : α} (h : x ∈ ({y} : Set α)) : x = y :=
h
#align set.eq_of_mem_singleton Set.eq_of_mem_singleton
@[simp]
theorem singleton_eq_singleton_iff {x y : α} : {x} = ({y} : Set α) ↔ x = y :=
ext_iff.trans eq_iff_eq_cancel_left
#align set.singleton_eq_singleton_iff Set.singleton_eq_singleton_iff
theorem singleton_injective : Injective (singleton : α → Set α) := fun _ _ =>
singleton_eq_singleton_iff.mp
#align set.singleton_injective Set.singleton_injective
theorem mem_singleton_of_eq {x y : α} (H : x = y) : x ∈ ({y} : Set α) :=
H
#align set.mem_singleton_of_eq Set.mem_singleton_of_eq
theorem insert_eq (x : α) (s : Set α) : insert x s = ({x} : Set α) ∪ s :=
rfl
#align set.insert_eq Set.insert_eq
@[simp]
theorem singleton_nonempty (a : α) : ({a} : Set α).Nonempty :=
⟨a, rfl⟩
#align set.singleton_nonempty Set.singleton_nonempty
@[simp]
theorem singleton_ne_empty (a : α) : ({a} : Set α) ≠ ∅ :=
(singleton_nonempty _).ne_empty
#align set.singleton_ne_empty Set.singleton_ne_empty
--Porting note (#10618): removed `simp` attribute because `simp` can prove it
theorem empty_ssubset_singleton : (∅ : Set α) ⊂ {a} :=
(singleton_nonempty _).empty_ssubset
#align set.empty_ssubset_singleton Set.empty_ssubset_singleton
@[simp]
theorem singleton_subset_iff {a : α} {s : Set α} : {a} ⊆ s ↔ a ∈ s :=
forall_eq
#align set.singleton_subset_iff Set.singleton_subset_iff
theorem singleton_subset_singleton : ({a} : Set α) ⊆ {b} ↔ a = b := by simp
#align set.singleton_subset_singleton Set.singleton_subset_singleton
theorem set_compr_eq_eq_singleton {a : α} : { b | b = a } = {a} :=
rfl
#align set.set_compr_eq_eq_singleton Set.set_compr_eq_eq_singleton
@[simp]
theorem singleton_union : {a} ∪ s = insert a s :=
rfl
#align set.singleton_union Set.singleton_union
@[simp]
theorem union_singleton : s ∪ {a} = insert a s :=
union_comm _ _
#align set.union_singleton Set.union_singleton
@[simp]
theorem singleton_inter_nonempty : ({a} ∩ s).Nonempty ↔ a ∈ s := by
simp only [Set.Nonempty, mem_inter_iff, mem_singleton_iff, exists_eq_left]
#align set.singleton_inter_nonempty Set.singleton_inter_nonempty
@[simp]
theorem inter_singleton_nonempty : (s ∩ {a}).Nonempty ↔ a ∈ s := by
rw [inter_comm, singleton_inter_nonempty]
#align set.inter_singleton_nonempty Set.inter_singleton_nonempty
@[simp]
theorem singleton_inter_eq_empty : {a} ∩ s = ∅ ↔ a ∉ s :=
not_nonempty_iff_eq_empty.symm.trans singleton_inter_nonempty.not
#align set.singleton_inter_eq_empty Set.singleton_inter_eq_empty
@[simp]
theorem inter_singleton_eq_empty : s ∩ {a} = ∅ ↔ a ∉ s := by
rw [inter_comm, singleton_inter_eq_empty]
#align set.inter_singleton_eq_empty Set.inter_singleton_eq_empty
theorem nmem_singleton_empty {s : Set α} : s ∉ ({∅} : Set (Set α)) ↔ s.Nonempty :=
nonempty_iff_ne_empty.symm
#align set.nmem_singleton_empty Set.nmem_singleton_empty
instance uniqueSingleton (a : α) : Unique (↥({a} : Set α)) :=
⟨⟨⟨a, mem_singleton a⟩⟩, fun ⟨_, h⟩ => Subtype.eq h⟩
#align set.unique_singleton Set.uniqueSingleton
theorem eq_singleton_iff_unique_mem : s = {a} ↔ a ∈ s ∧ ∀ x ∈ s, x = a :=
Subset.antisymm_iff.trans <| and_comm.trans <| and_congr_left' singleton_subset_iff
#align set.eq_singleton_iff_unique_mem Set.eq_singleton_iff_unique_mem
theorem eq_singleton_iff_nonempty_unique_mem : s = {a} ↔ s.Nonempty ∧ ∀ x ∈ s, x = a :=
eq_singleton_iff_unique_mem.trans <|
and_congr_left fun H => ⟨fun h' => ⟨_, h'⟩, fun ⟨x, h⟩ => H x h ▸ h⟩
#align set.eq_singleton_iff_nonempty_unique_mem Set.eq_singleton_iff_nonempty_unique_mem
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
-- while `simp` is capable of proving this, it is not capable of turning the LHS into the RHS.
@[simp]
theorem default_coe_singleton (x : α) : (default : ({x} : Set α)) = ⟨x, rfl⟩ :=
rfl
#align set.default_coe_singleton Set.default_coe_singleton
section Sep
variable {p q : α → Prop} {x : α}
theorem mem_sep (xs : x ∈ s) (px : p x) : x ∈ { x ∈ s | p x } :=
⟨xs, px⟩
#align set.mem_sep Set.mem_sep
@[simp]
theorem sep_mem_eq : { x ∈ s | x ∈ t } = s ∩ t :=
rfl
#align set.sep_mem_eq Set.sep_mem_eq
@[simp]
theorem mem_sep_iff : x ∈ { x ∈ s | p x } ↔ x ∈ s ∧ p x :=
Iff.rfl
#align set.mem_sep_iff Set.mem_sep_iff
theorem sep_ext_iff : { x ∈ s | p x } = { x ∈ s | q x } ↔ ∀ x ∈ s, p x ↔ q x := by
simp_rw [ext_iff, mem_sep_iff, and_congr_right_iff]
#align set.sep_ext_iff Set.sep_ext_iff
theorem sep_eq_of_subset (h : s ⊆ t) : { x ∈ t | x ∈ s } = s :=
inter_eq_self_of_subset_right h
#align set.sep_eq_of_subset Set.sep_eq_of_subset
@[simp]
theorem sep_subset (s : Set α) (p : α → Prop) : { x ∈ s | p x } ⊆ s := fun _ => And.left
#align set.sep_subset Set.sep_subset
@[simp]
theorem sep_eq_self_iff_mem_true : { x ∈ s | p x } = s ↔ ∀ x ∈ s, p x := by
simp_rw [ext_iff, mem_sep_iff, and_iff_left_iff_imp]
#align set.sep_eq_self_iff_mem_true Set.sep_eq_self_iff_mem_true
@[simp]
| Mathlib/Data/Set/Basic.lean | 1,392 | 1,393 | theorem sep_eq_empty_iff_mem_false : { x ∈ s | p x } = ∅ ↔ ∀ x ∈ s, ¬p x := by |
simp_rw [ext_iff, mem_sep_iff, mem_empty_iff_false, iff_false_iff, not_and]
|
import Mathlib.Algebra.Algebra.Subalgebra.Basic
import Mathlib.Topology.Algebra.Module.Basic
import Mathlib.RingTheory.Adjoin.Basic
#align_import topology.algebra.algebra from "leanprover-community/mathlib"@"43afc5ad87891456c57b5a183e3e617d67c2b1db"
open scoped Classical
open Set TopologicalSpace Algebra
open scoped Classical
universe u v w
section TopologicalAlgebra
variable {R : Type*} [CommSemiring R]
variable {A : Type u} [TopologicalSpace A]
variable [Semiring A] [Algebra R A]
#align subalgebra.has_continuous_smul SMulMemClass.continuousSMul
variable [TopologicalSemiring A]
def Subalgebra.topologicalClosure (s : Subalgebra R A) : Subalgebra R A :=
{ s.toSubsemiring.topologicalClosure with
carrier := closure (s : Set A)
algebraMap_mem' := fun r => s.toSubsemiring.le_topologicalClosure (s.algebraMap_mem r) }
#align subalgebra.topological_closure Subalgebra.topologicalClosure
@[simp]
theorem Subalgebra.topologicalClosure_coe (s : Subalgebra R A) :
(s.topologicalClosure : Set A) = closure (s : Set A) :=
rfl
#align subalgebra.topological_closure_coe Subalgebra.topologicalClosure_coe
instance Subalgebra.topologicalSemiring (s : Subalgebra R A) : TopologicalSemiring s :=
s.toSubsemiring.topologicalSemiring
#align subalgebra.topological_semiring Subalgebra.topologicalSemiring
theorem Subalgebra.le_topologicalClosure (s : Subalgebra R A) : s ≤ s.topologicalClosure :=
subset_closure
#align subalgebra.le_topological_closure Subalgebra.le_topologicalClosure
theorem Subalgebra.isClosed_topologicalClosure (s : Subalgebra R A) :
IsClosed (s.topologicalClosure : Set A) := by convert @isClosed_closure A s _
#align subalgebra.is_closed_topological_closure Subalgebra.isClosed_topologicalClosure
theorem Subalgebra.topologicalClosure_minimal (s : Subalgebra R A) {t : Subalgebra R A} (h : s ≤ t)
(ht : IsClosed (t : Set A)) : s.topologicalClosure ≤ t :=
closure_minimal h ht
#align subalgebra.topological_closure_minimal Subalgebra.topologicalClosure_minimal
def Subalgebra.commSemiringTopologicalClosure [T2Space A] (s : Subalgebra R A)
(hs : ∀ x y : s, x * y = y * x) : CommSemiring s.topologicalClosure :=
{ s.topologicalClosure.toSemiring, s.toSubmonoid.commMonoidTopologicalClosure hs with }
#align subalgebra.comm_semiring_topological_closure Subalgebra.commSemiringTopologicalClosure
| Mathlib/Topology/Algebra/Algebra.lean | 130 | 137 | theorem Subalgebra.topologicalClosure_comap_homeomorph (s : Subalgebra R A) {B : Type*}
[TopologicalSpace B] [Ring B] [TopologicalRing B] [Algebra R B] (f : B →ₐ[R] A) (f' : B ≃ₜ A)
(w : (f : B → A) = f') : s.topologicalClosure.comap f = (s.comap f).topologicalClosure := by |
apply SetLike.ext'
simp only [Subalgebra.topologicalClosure_coe]
simp only [Subalgebra.coe_comap, Subsemiring.coe_comap, AlgHom.coe_toRingHom]
rw [w]
exact f'.preimage_closure _
|
import Mathlib.Algebra.Polynomial.Degree.Definitions
import Mathlib.Data.ENat.Basic
#align_import data.polynomial.degree.trailing_degree from "leanprover-community/mathlib"@"302eab4f46abb63de520828de78c04cb0f9b5836"
noncomputable section
open Function Polynomial Finsupp Finset
open scoped Polynomial
namespace Polynomial
universe u v
variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ}
section Semiring
variable [Semiring R] {p q r : R[X]}
def trailingDegree (p : R[X]) : ℕ∞ :=
p.support.min
#align polynomial.trailing_degree Polynomial.trailingDegree
theorem trailingDegree_lt_wf : WellFounded fun p q : R[X] => trailingDegree p < trailingDegree q :=
InvImage.wf trailingDegree wellFounded_lt
#align polynomial.trailing_degree_lt_wf Polynomial.trailingDegree_lt_wf
def natTrailingDegree (p : R[X]) : ℕ :=
(trailingDegree p).getD 0
#align polynomial.nat_trailing_degree Polynomial.natTrailingDegree
def trailingCoeff (p : R[X]) : R :=
coeff p (natTrailingDegree p)
#align polynomial.trailing_coeff Polynomial.trailingCoeff
def TrailingMonic (p : R[X]) :=
trailingCoeff p = (1 : R)
#align polynomial.trailing_monic Polynomial.TrailingMonic
theorem TrailingMonic.def : TrailingMonic p ↔ trailingCoeff p = 1 :=
Iff.rfl
#align polynomial.trailing_monic.def Polynomial.TrailingMonic.def
instance TrailingMonic.decidable [DecidableEq R] : Decidable (TrailingMonic p) :=
inferInstanceAs <| Decidable (trailingCoeff p = (1 : R))
#align polynomial.trailing_monic.decidable Polynomial.TrailingMonic.decidable
@[simp]
theorem TrailingMonic.trailingCoeff {p : R[X]} (hp : p.TrailingMonic) : trailingCoeff p = 1 :=
hp
#align polynomial.trailing_monic.trailing_coeff Polynomial.TrailingMonic.trailingCoeff
@[simp]
theorem trailingDegree_zero : trailingDegree (0 : R[X]) = ⊤ :=
rfl
#align polynomial.trailing_degree_zero Polynomial.trailingDegree_zero
@[simp]
theorem trailingCoeff_zero : trailingCoeff (0 : R[X]) = 0 :=
rfl
#align polynomial.trailing_coeff_zero Polynomial.trailingCoeff_zero
@[simp]
theorem natTrailingDegree_zero : natTrailingDegree (0 : R[X]) = 0 :=
rfl
#align polynomial.nat_trailing_degree_zero Polynomial.natTrailingDegree_zero
theorem trailingDegree_eq_top : trailingDegree p = ⊤ ↔ p = 0 :=
⟨fun h => support_eq_empty.1 (Finset.min_eq_top.1 h), fun h => by simp [h]⟩
#align polynomial.trailing_degree_eq_top Polynomial.trailingDegree_eq_top
theorem trailingDegree_eq_natTrailingDegree (hp : p ≠ 0) :
trailingDegree p = (natTrailingDegree p : ℕ∞) := by
let ⟨n, hn⟩ :=
not_forall.1 (mt Option.eq_none_iff_forall_not_mem.2 (mt trailingDegree_eq_top.1 hp))
have hn : trailingDegree p = n := Classical.not_not.1 hn
rw [natTrailingDegree, hn]
rfl
#align polynomial.trailing_degree_eq_nat_trailing_degree Polynomial.trailingDegree_eq_natTrailingDegree
theorem trailingDegree_eq_iff_natTrailingDegree_eq {p : R[X]} {n : ℕ} (hp : p ≠ 0) :
p.trailingDegree = n ↔ p.natTrailingDegree = n := by
rw [trailingDegree_eq_natTrailingDegree hp]
exact WithTop.coe_eq_coe
#align polynomial.trailing_degree_eq_iff_nat_trailing_degree_eq Polynomial.trailingDegree_eq_iff_natTrailingDegree_eq
theorem trailingDegree_eq_iff_natTrailingDegree_eq_of_pos {p : R[X]} {n : ℕ} (hn : 0 < n) :
p.trailingDegree = n ↔ p.natTrailingDegree = n := by
constructor
· intro H
rwa [← trailingDegree_eq_iff_natTrailingDegree_eq]
rintro rfl
rw [trailingDegree_zero] at H
exact Option.noConfusion H
· intro H
rwa [trailingDegree_eq_iff_natTrailingDegree_eq]
rintro rfl
rw [natTrailingDegree_zero] at H
rw [H] at hn
exact lt_irrefl _ hn
#align polynomial.trailing_degree_eq_iff_nat_trailing_degree_eq_of_pos Polynomial.trailingDegree_eq_iff_natTrailingDegree_eq_of_pos
theorem natTrailingDegree_eq_of_trailingDegree_eq_some {p : R[X]} {n : ℕ}
(h : trailingDegree p = n) : natTrailingDegree p = n :=
have hp0 : p ≠ 0 := fun hp0 => by rw [hp0] at h; exact Option.noConfusion h
Option.some_inj.1 <|
show (natTrailingDegree p : ℕ∞) = n by rwa [← trailingDegree_eq_natTrailingDegree hp0]
#align polynomial.nat_trailing_degree_eq_of_trailing_degree_eq_some Polynomial.natTrailingDegree_eq_of_trailingDegree_eq_some
@[simp]
theorem natTrailingDegree_le_trailingDegree : ↑(natTrailingDegree p) ≤ trailingDegree p := by
by_cases hp : p = 0;
· rw [hp, trailingDegree_zero]
exact le_top
rw [trailingDegree_eq_natTrailingDegree hp]
#align polynomial.nat_trailing_degree_le_trailing_degree Polynomial.natTrailingDegree_le_trailingDegree
theorem natTrailingDegree_eq_of_trailingDegree_eq [Semiring S] {q : S[X]}
(h : trailingDegree p = trailingDegree q) : natTrailingDegree p = natTrailingDegree q := by
unfold natTrailingDegree
rw [h]
#align polynomial.nat_trailing_degree_eq_of_trailing_degree_eq Polynomial.natTrailingDegree_eq_of_trailingDegree_eq
theorem trailingDegree_le_of_ne_zero (h : coeff p n ≠ 0) : trailingDegree p ≤ n :=
show @LE.le ℕ∞ _ p.support.min n from min_le (mem_support_iff.2 h)
#align polynomial.le_trailing_degree_of_ne_zero Polynomial.trailingDegree_le_of_ne_zero
theorem natTrailingDegree_le_of_ne_zero (h : coeff p n ≠ 0) : natTrailingDegree p ≤ n := by
have : WithTop.some (natTrailingDegree p) = Nat.cast (natTrailingDegree p) := rfl
rw [← WithTop.coe_le_coe, this, ← trailingDegree_eq_natTrailingDegree]
· exact trailingDegree_le_of_ne_zero h
· intro h
subst h
exact h rfl
#align polynomial.nat_trailing_degree_le_of_ne_zero Polynomial.natTrailingDegree_le_of_ne_zero
@[simp] lemma coeff_natTrailingDegree_eq_zero : coeff p p.natTrailingDegree = 0 ↔ p = 0 := by
constructor
· rintro h
by_contra hp
obtain ⟨n, hpn, hn⟩ := by simpa using min_mem_image_coe $ support_nonempty.2 hp
obtain rfl := (trailingDegree_eq_iff_natTrailingDegree_eq hp).1 hn.symm
exact hpn h
· rintro rfl
simp
lemma coeff_natTrailingDegree_ne_zero : coeff p p.natTrailingDegree ≠ 0 ↔ p ≠ 0 :=
coeff_natTrailingDegree_eq_zero.not
@[simp] lemma natTrailingDegree_eq_zero : natTrailingDegree p = 0 ↔ p = 0 ∨ coeff p 0 ≠ 0 := by
constructor
· rw [or_iff_not_imp_left]
rintro h hp
rwa [← h, coeff_natTrailingDegree_ne_zero]
· rintro (rfl | h)
· simp
· exact nonpos_iff_eq_zero.1 $ natTrailingDegree_le_of_ne_zero h
lemma trailingDegree_eq_zero : trailingDegree p = 0 ↔ coeff p 0 ≠ 0 := by
obtain rfl | hp := eq_or_ne p 0
· simp [WithTop.top_ne_zero (α := ℕ)]
· exact (trailingDegree_eq_iff_natTrailingDegree_eq hp).trans $
natTrailingDegree_eq_zero.trans $ or_iff_right hp
lemma natTrailingDegree_ne_zero : natTrailingDegree p ≠ 0 ↔ p ≠ 0 ∧ coeff p 0 = 0 :=
natTrailingDegree_eq_zero.not.trans $ by rw [not_or, not_ne_iff]
lemma trailingDegree_ne_zero : trailingDegree p ≠ 0 ↔ coeff p 0 = 0 :=
trailingDegree_eq_zero.not_left
@[simp] theorem trailingDegree_le_trailingDegree (h : coeff q (natTrailingDegree p) ≠ 0) :
trailingDegree q ≤ trailingDegree p := by
by_cases hp : p = 0
· rw [hp]
exact le_top
· rw [trailingDegree_eq_natTrailingDegree hp]
exact trailingDegree_le_of_ne_zero h
#align polynomial.trailing_degree_le_trailing_degree Polynomial.trailingDegree_le_trailingDegree
theorem trailingDegree_ne_of_natTrailingDegree_ne {n : ℕ} :
p.natTrailingDegree ≠ n → trailingDegree p ≠ n := by
-- Porting note: Needed to account for different coercion behaviour & add the lemma below
have : Nat.cast n = WithTop.some n := rfl
exact mt fun h => by rw [natTrailingDegree, h, this, ← WithTop.some_eq_coe, Option.getD_some]
#align polynomial.trailing_degree_ne_of_nat_trailing_degree_ne Polynomial.trailingDegree_ne_of_natTrailingDegree_ne
theorem natTrailingDegree_le_of_trailingDegree_le {n : ℕ} {hp : p ≠ 0}
(H : (n : ℕ∞) ≤ trailingDegree p) : n ≤ natTrailingDegree p := by
rw [trailingDegree_eq_natTrailingDegree hp] at H
exact WithTop.coe_le_coe.mp H
#align polynomial.nat_trailing_degree_le_of_trailing_degree_le Polynomial.natTrailingDegree_le_of_trailingDegree_le
theorem natTrailingDegree_le_natTrailingDegree {hq : q ≠ 0}
(hpq : p.trailingDegree ≤ q.trailingDegree) : p.natTrailingDegree ≤ q.natTrailingDegree := by
by_cases hp : p = 0;
· rw [hp, natTrailingDegree_zero]
exact zero_le _
rw [trailingDegree_eq_natTrailingDegree hp, trailingDegree_eq_natTrailingDegree hq] at hpq
exact WithTop.coe_le_coe.1 hpq
#align polynomial.nat_trailing_degree_le_nat_trailing_degree Polynomial.natTrailingDegree_le_natTrailingDegree
@[simp]
theorem trailingDegree_monomial (ha : a ≠ 0) : trailingDegree (monomial n a) = n := by
rw [trailingDegree, support_monomial n ha, min_singleton]
rfl
#align polynomial.trailing_degree_monomial Polynomial.trailingDegree_monomial
theorem natTrailingDegree_monomial (ha : a ≠ 0) : natTrailingDegree (monomial n a) = n := by
rw [natTrailingDegree, trailingDegree_monomial ha]
rfl
#align polynomial.nat_trailing_degree_monomial Polynomial.natTrailingDegree_monomial
theorem natTrailingDegree_monomial_le : natTrailingDegree (monomial n a) ≤ n :=
letI := Classical.decEq R
if ha : a = 0 then by simp [ha] else (natTrailingDegree_monomial ha).le
#align polynomial.nat_trailing_degree_monomial_le Polynomial.natTrailingDegree_monomial_le
theorem le_trailingDegree_monomial : ↑n ≤ trailingDegree (monomial n a) :=
letI := Classical.decEq R
if ha : a = 0 then by simp [ha] else (trailingDegree_monomial ha).ge
#align polynomial.le_trailing_degree_monomial Polynomial.le_trailingDegree_monomial
@[simp]
theorem trailingDegree_C (ha : a ≠ 0) : trailingDegree (C a) = (0 : ℕ∞) :=
trailingDegree_monomial ha
set_option linter.uppercaseLean3 false in
#align polynomial.trailing_degree_C Polynomial.trailingDegree_C
theorem le_trailingDegree_C : (0 : ℕ∞) ≤ trailingDegree (C a) :=
le_trailingDegree_monomial
set_option linter.uppercaseLean3 false in
#align polynomial.le_trailing_degree_C Polynomial.le_trailingDegree_C
theorem trailingDegree_one_le : (0 : ℕ∞) ≤ trailingDegree (1 : R[X]) := by
rw [← C_1]
exact le_trailingDegree_C
#align polynomial.trailing_degree_one_le Polynomial.trailingDegree_one_le
@[simp]
theorem natTrailingDegree_C (a : R) : natTrailingDegree (C a) = 0 :=
nonpos_iff_eq_zero.1 natTrailingDegree_monomial_le
set_option linter.uppercaseLean3 false in
#align polynomial.nat_trailing_degree_C Polynomial.natTrailingDegree_C
@[simp]
theorem natTrailingDegree_one : natTrailingDegree (1 : R[X]) = 0 :=
natTrailingDegree_C 1
#align polynomial.nat_trailing_degree_one Polynomial.natTrailingDegree_one
@[simp]
theorem natTrailingDegree_natCast (n : ℕ) : natTrailingDegree (n : R[X]) = 0 := by
simp only [← C_eq_natCast, natTrailingDegree_C]
#align polynomial.nat_trailing_degree_nat_cast Polynomial.natTrailingDegree_natCast
@[deprecated (since := "2024-04-17")]
alias natTrailingDegree_nat_cast := natTrailingDegree_natCast
@[simp]
theorem trailingDegree_C_mul_X_pow (n : ℕ) (ha : a ≠ 0) : trailingDegree (C a * X ^ n) = n := by
rw [C_mul_X_pow_eq_monomial, trailingDegree_monomial ha]
set_option linter.uppercaseLean3 false in
#align polynomial.trailing_degree_C_mul_X_pow Polynomial.trailingDegree_C_mul_X_pow
theorem le_trailingDegree_C_mul_X_pow (n : ℕ) (a : R) :
(n : ℕ∞) ≤ trailingDegree (C a * X ^ n) := by
rw [C_mul_X_pow_eq_monomial]
exact le_trailingDegree_monomial
set_option linter.uppercaseLean3 false in
#align polynomial.le_trailing_degree_C_mul_X_pow Polynomial.le_trailingDegree_C_mul_X_pow
theorem coeff_eq_zero_of_lt_trailingDegree (h : (n : ℕ∞) < trailingDegree p) : coeff p n = 0 :=
Classical.not_not.1 (mt trailingDegree_le_of_ne_zero (not_le_of_gt h))
#align polynomial.coeff_eq_zero_of_trailing_degree_lt Polynomial.coeff_eq_zero_of_lt_trailingDegree
| Mathlib/Algebra/Polynomial/Degree/TrailingDegree.lean | 305 | 312 | theorem coeff_eq_zero_of_lt_natTrailingDegree {p : R[X]} {n : ℕ} (h : n < p.natTrailingDegree) :
p.coeff n = 0 := by |
apply coeff_eq_zero_of_lt_trailingDegree
by_cases hp : p = 0
· rw [hp, trailingDegree_zero]
exact WithTop.coe_lt_top n
· rw [trailingDegree_eq_natTrailingDegree hp]
exact WithTop.coe_lt_coe.2 h
|
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.Finsupp.Defs
import Mathlib.Data.Nat.Cast.Order
import Mathlib.Data.Set.Countable
import Mathlib.Logic.Small.Set
import Mathlib.Order.SuccPred.CompleteLinearOrder
import Mathlib.SetTheory.Cardinal.SchroederBernstein
#align_import set_theory.cardinal.basic from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8"
assert_not_exists Field
assert_not_exists Module
open scoped Classical
open Function Set Order
noncomputable section
universe u v w
variable {α β : Type u}
instance Cardinal.isEquivalent : Setoid (Type u) where
r α β := Nonempty (α ≃ β)
iseqv := ⟨
fun α => ⟨Equiv.refl α⟩,
fun ⟨e⟩ => ⟨e.symm⟩,
fun ⟨e₁⟩ ⟨e₂⟩ => ⟨e₁.trans e₂⟩⟩
#align cardinal.is_equivalent Cardinal.isEquivalent
@[pp_with_univ]
def Cardinal : Type (u + 1) :=
Quotient Cardinal.isEquivalent
#align cardinal Cardinal
namespace Cardinal
def mk : Type u → Cardinal :=
Quotient.mk'
#align cardinal.mk Cardinal.mk
@[inherit_doc]
scoped prefix:max "#" => Cardinal.mk
instance canLiftCardinalType : CanLift Cardinal.{u} (Type u) mk fun _ => True :=
⟨fun c _ => Quot.inductionOn c fun α => ⟨α, rfl⟩⟩
#align cardinal.can_lift_cardinal_Type Cardinal.canLiftCardinalType
@[elab_as_elim]
theorem inductionOn {p : Cardinal → Prop} (c : Cardinal) (h : ∀ α, p #α) : p c :=
Quotient.inductionOn c h
#align cardinal.induction_on Cardinal.inductionOn
@[elab_as_elim]
theorem inductionOn₂ {p : Cardinal → Cardinal → Prop} (c₁ : Cardinal) (c₂ : Cardinal)
(h : ∀ α β, p #α #β) : p c₁ c₂ :=
Quotient.inductionOn₂ c₁ c₂ h
#align cardinal.induction_on₂ Cardinal.inductionOn₂
@[elab_as_elim]
theorem inductionOn₃ {p : Cardinal → Cardinal → Cardinal → Prop} (c₁ : Cardinal) (c₂ : Cardinal)
(c₃ : Cardinal) (h : ∀ α β γ, p #α #β #γ) : p c₁ c₂ c₃ :=
Quotient.inductionOn₃ c₁ c₂ c₃ h
#align cardinal.induction_on₃ Cardinal.inductionOn₃
protected theorem eq : #α = #β ↔ Nonempty (α ≃ β) :=
Quotient.eq'
#align cardinal.eq Cardinal.eq
@[simp]
theorem mk'_def (α : Type u) : @Eq Cardinal ⟦α⟧ #α :=
rfl
#align cardinal.mk_def Cardinal.mk'_def
@[simp]
theorem mk_out (c : Cardinal) : #c.out = c :=
Quotient.out_eq _
#align cardinal.mk_out Cardinal.mk_out
def outMkEquiv {α : Type v} : (#α).out ≃ α :=
Nonempty.some <| Cardinal.eq.mp (by simp)
#align cardinal.out_mk_equiv Cardinal.outMkEquiv
theorem mk_congr (e : α ≃ β) : #α = #β :=
Quot.sound ⟨e⟩
#align cardinal.mk_congr Cardinal.mk_congr
alias _root_.Equiv.cardinal_eq := mk_congr
#align equiv.cardinal_eq Equiv.cardinal_eq
def map (f : Type u → Type v) (hf : ∀ α β, α ≃ β → f α ≃ f β) : Cardinal.{u} → Cardinal.{v} :=
Quotient.map f fun α β ⟨e⟩ => ⟨hf α β e⟩
#align cardinal.map Cardinal.map
@[simp]
theorem map_mk (f : Type u → Type v) (hf : ∀ α β, α ≃ β → f α ≃ f β) (α : Type u) :
map f hf #α = #(f α) :=
rfl
#align cardinal.map_mk Cardinal.map_mk
def map₂ (f : Type u → Type v → Type w) (hf : ∀ α β γ δ, α ≃ β → γ ≃ δ → f α γ ≃ f β δ) :
Cardinal.{u} → Cardinal.{v} → Cardinal.{w} :=
Quotient.map₂ f fun α β ⟨e₁⟩ γ δ ⟨e₂⟩ => ⟨hf α β γ δ e₁ e₂⟩
#align cardinal.map₂ Cardinal.map₂
@[pp_with_univ]
def lift (c : Cardinal.{v}) : Cardinal.{max v u} :=
map ULift.{u, v} (fun _ _ e => Equiv.ulift.trans <| e.trans Equiv.ulift.symm) c
#align cardinal.lift Cardinal.lift
@[simp]
theorem mk_uLift (α) : #(ULift.{v, u} α) = lift.{v} #α :=
rfl
#align cardinal.mk_ulift Cardinal.mk_uLift
-- Porting note: simpNF is not happy with universe levels, but this is needed as simp lemma
-- further down in this file
@[simp, nolint simpNF]
theorem lift_umax : lift.{max u v, u} = lift.{v, u} :=
funext fun a => inductionOn a fun _ => (Equiv.ulift.trans Equiv.ulift.symm).cardinal_eq
#align cardinal.lift_umax Cardinal.lift_umax
-- Porting note: simpNF is not happy with universe levels, but this is needed as simp lemma
-- further down in this file
@[simp, nolint simpNF]
theorem lift_umax' : lift.{max v u, u} = lift.{v, u} :=
lift_umax
#align cardinal.lift_umax' Cardinal.lift_umax'
-- Porting note: simpNF is not happy with universe levels, but this is needed as simp lemma
-- further down in this file
@[simp, nolint simpNF]
theorem lift_id' (a : Cardinal.{max u v}) : lift.{u} a = a :=
inductionOn a fun _ => mk_congr Equiv.ulift
#align cardinal.lift_id' Cardinal.lift_id'
@[simp]
theorem lift_id (a : Cardinal) : lift.{u, u} a = a :=
lift_id'.{u, u} a
#align cardinal.lift_id Cardinal.lift_id
-- porting note (#10618): simp can prove this
-- @[simp]
theorem lift_uzero (a : Cardinal.{u}) : lift.{0} a = a :=
lift_id'.{0, u} a
#align cardinal.lift_uzero Cardinal.lift_uzero
@[simp]
theorem lift_lift.{u_1} (a : Cardinal.{u_1}) : lift.{w} (lift.{v} a) = lift.{max v w} a :=
inductionOn a fun _ => (Equiv.ulift.trans <| Equiv.ulift.trans Equiv.ulift.symm).cardinal_eq
#align cardinal.lift_lift Cardinal.lift_lift
instance : LE Cardinal.{u} :=
⟨fun q₁ q₂ =>
Quotient.liftOn₂ q₁ q₂ (fun α β => Nonempty <| α ↪ β) fun _ _ _ _ ⟨e₁⟩ ⟨e₂⟩ =>
propext ⟨fun ⟨e⟩ => ⟨e.congr e₁ e₂⟩, fun ⟨e⟩ => ⟨e.congr e₁.symm e₂.symm⟩⟩⟩
instance partialOrder : PartialOrder Cardinal.{u} where
le := (· ≤ ·)
le_refl := by
rintro ⟨α⟩
exact ⟨Embedding.refl _⟩
le_trans := by
rintro ⟨α⟩ ⟨β⟩ ⟨γ⟩ ⟨e₁⟩ ⟨e₂⟩
exact ⟨e₁.trans e₂⟩
le_antisymm := by
rintro ⟨α⟩ ⟨β⟩ ⟨e₁⟩ ⟨e₂⟩
exact Quotient.sound (e₁.antisymm e₂)
instance linearOrder : LinearOrder Cardinal.{u} :=
{ Cardinal.partialOrder with
le_total := by
rintro ⟨α⟩ ⟨β⟩
apply Embedding.total
decidableLE := Classical.decRel _ }
theorem le_def (α β : Type u) : #α ≤ #β ↔ Nonempty (α ↪ β) :=
Iff.rfl
#align cardinal.le_def Cardinal.le_def
theorem mk_le_of_injective {α β : Type u} {f : α → β} (hf : Injective f) : #α ≤ #β :=
⟨⟨f, hf⟩⟩
#align cardinal.mk_le_of_injective Cardinal.mk_le_of_injective
theorem _root_.Function.Embedding.cardinal_le {α β : Type u} (f : α ↪ β) : #α ≤ #β :=
⟨f⟩
#align function.embedding.cardinal_le Function.Embedding.cardinal_le
theorem mk_le_of_surjective {α β : Type u} {f : α → β} (hf : Surjective f) : #β ≤ #α :=
⟨Embedding.ofSurjective f hf⟩
#align cardinal.mk_le_of_surjective Cardinal.mk_le_of_surjective
theorem le_mk_iff_exists_set {c : Cardinal} {α : Type u} : c ≤ #α ↔ ∃ p : Set α, #p = c :=
⟨inductionOn c fun _ ⟨⟨f, hf⟩⟩ => ⟨Set.range f, (Equiv.ofInjective f hf).cardinal_eq.symm⟩,
fun ⟨_, e⟩ => e ▸ ⟨⟨Subtype.val, fun _ _ => Subtype.eq⟩⟩⟩
#align cardinal.le_mk_iff_exists_set Cardinal.le_mk_iff_exists_set
theorem mk_subtype_le {α : Type u} (p : α → Prop) : #(Subtype p) ≤ #α :=
⟨Embedding.subtype p⟩
#align cardinal.mk_subtype_le Cardinal.mk_subtype_le
theorem mk_set_le (s : Set α) : #s ≤ #α :=
mk_subtype_le s
#align cardinal.mk_set_le Cardinal.mk_set_le
@[simp]
lemma mk_preimage_down {s : Set α} : #(ULift.down.{v} ⁻¹' s) = lift.{v} (#s) := by
rw [← mk_uLift, Cardinal.eq]
constructor
let f : ULift.down ⁻¹' s → ULift s := fun x ↦ ULift.up (restrictPreimage s ULift.down x)
have : Function.Bijective f :=
ULift.up_bijective.comp (restrictPreimage_bijective _ (ULift.down_bijective))
exact Equiv.ofBijective f this
theorem out_embedding {c c' : Cardinal} : c ≤ c' ↔ Nonempty (c.out ↪ c'.out) := by
trans
· rw [← Quotient.out_eq c, ← Quotient.out_eq c']
· rw [mk'_def, mk'_def, le_def]
#align cardinal.out_embedding Cardinal.out_embedding
theorem lift_mk_le {α : Type v} {β : Type w} :
lift.{max u w} #α ≤ lift.{max u v} #β ↔ Nonempty (α ↪ β) :=
⟨fun ⟨f⟩ => ⟨Embedding.congr Equiv.ulift Equiv.ulift f⟩, fun ⟨f⟩ =>
⟨Embedding.congr Equiv.ulift.symm Equiv.ulift.symm f⟩⟩
#align cardinal.lift_mk_le Cardinal.lift_mk_le
theorem lift_mk_le' {α : Type u} {β : Type v} : lift.{v} #α ≤ lift.{u} #β ↔ Nonempty (α ↪ β) :=
lift_mk_le.{0}
#align cardinal.lift_mk_le' Cardinal.lift_mk_le'
theorem lift_mk_eq {α : Type u} {β : Type v} :
lift.{max v w} #α = lift.{max u w} #β ↔ Nonempty (α ≃ β) :=
Quotient.eq'.trans
⟨fun ⟨f⟩ => ⟨Equiv.ulift.symm.trans <| f.trans Equiv.ulift⟩, fun ⟨f⟩ =>
⟨Equiv.ulift.trans <| f.trans Equiv.ulift.symm⟩⟩
#align cardinal.lift_mk_eq Cardinal.lift_mk_eq
theorem lift_mk_eq' {α : Type u} {β : Type v} : lift.{v} #α = lift.{u} #β ↔ Nonempty (α ≃ β) :=
lift_mk_eq.{u, v, 0}
#align cardinal.lift_mk_eq' Cardinal.lift_mk_eq'
@[simp]
theorem lift_le {a b : Cardinal.{v}} : lift.{u, v} a ≤ lift.{u, v} b ↔ a ≤ b :=
inductionOn₂ a b fun α β => by
rw [← lift_umax]
exact lift_mk_le.{u}
#align cardinal.lift_le Cardinal.lift_le
-- Porting note: changed `simps` to `simps!` because the linter told to do so.
@[simps! (config := .asFn)]
def liftOrderEmbedding : Cardinal.{v} ↪o Cardinal.{max v u} :=
OrderEmbedding.ofMapLEIff lift.{u, v} fun _ _ => lift_le
#align cardinal.lift_order_embedding Cardinal.liftOrderEmbedding
theorem lift_injective : Injective lift.{u, v} :=
liftOrderEmbedding.injective
#align cardinal.lift_injective Cardinal.lift_injective
@[simp]
theorem lift_inj {a b : Cardinal.{u}} : lift.{v, u} a = lift.{v, u} b ↔ a = b :=
lift_injective.eq_iff
#align cardinal.lift_inj Cardinal.lift_inj
@[simp]
theorem lift_lt {a b : Cardinal.{u}} : lift.{v, u} a < lift.{v, u} b ↔ a < b :=
liftOrderEmbedding.lt_iff_lt
#align cardinal.lift_lt Cardinal.lift_lt
theorem lift_strictMono : StrictMono lift := fun _ _ => lift_lt.2
#align cardinal.lift_strict_mono Cardinal.lift_strictMono
theorem lift_monotone : Monotone lift :=
lift_strictMono.monotone
#align cardinal.lift_monotone Cardinal.lift_monotone
instance : Zero Cardinal.{u} :=
-- `PEmpty` might be more canonical, but this is convenient for defeq with natCast
⟨lift #(Fin 0)⟩
instance : Inhabited Cardinal.{u} :=
⟨0⟩
@[simp]
theorem mk_eq_zero (α : Type u) [IsEmpty α] : #α = 0 :=
(Equiv.equivOfIsEmpty α (ULift (Fin 0))).cardinal_eq
#align cardinal.mk_eq_zero Cardinal.mk_eq_zero
@[simp]
theorem lift_zero : lift 0 = 0 := mk_eq_zero _
#align cardinal.lift_zero Cardinal.lift_zero
@[simp]
theorem lift_eq_zero {a : Cardinal.{v}} : lift.{u} a = 0 ↔ a = 0 :=
lift_injective.eq_iff' lift_zero
#align cardinal.lift_eq_zero Cardinal.lift_eq_zero
theorem mk_eq_zero_iff {α : Type u} : #α = 0 ↔ IsEmpty α :=
⟨fun e =>
let ⟨h⟩ := Quotient.exact e
h.isEmpty,
@mk_eq_zero α⟩
#align cardinal.mk_eq_zero_iff Cardinal.mk_eq_zero_iff
theorem mk_ne_zero_iff {α : Type u} : #α ≠ 0 ↔ Nonempty α :=
(not_iff_not.2 mk_eq_zero_iff).trans not_isEmpty_iff
#align cardinal.mk_ne_zero_iff Cardinal.mk_ne_zero_iff
@[simp]
theorem mk_ne_zero (α : Type u) [Nonempty α] : #α ≠ 0 :=
mk_ne_zero_iff.2 ‹_›
#align cardinal.mk_ne_zero Cardinal.mk_ne_zero
instance : One Cardinal.{u} :=
-- `PUnit` might be more canonical, but this is convenient for defeq with natCast
⟨lift #(Fin 1)⟩
instance : Nontrivial Cardinal.{u} :=
⟨⟨1, 0, mk_ne_zero _⟩⟩
theorem mk_eq_one (α : Type u) [Unique α] : #α = 1 :=
(Equiv.equivOfUnique α (ULift (Fin 1))).cardinal_eq
#align cardinal.mk_eq_one Cardinal.mk_eq_one
theorem le_one_iff_subsingleton {α : Type u} : #α ≤ 1 ↔ Subsingleton α :=
⟨fun ⟨f⟩ => ⟨fun _ _ => f.injective (Subsingleton.elim _ _)⟩, fun ⟨h⟩ =>
⟨fun _ => ULift.up 0, fun _ _ _ => h _ _⟩⟩
#align cardinal.le_one_iff_subsingleton Cardinal.le_one_iff_subsingleton
@[simp]
theorem mk_le_one_iff_set_subsingleton {s : Set α} : #s ≤ 1 ↔ s.Subsingleton :=
le_one_iff_subsingleton.trans s.subsingleton_coe
#align cardinal.mk_le_one_iff_set_subsingleton Cardinal.mk_le_one_iff_set_subsingleton
alias ⟨_, _root_.Set.Subsingleton.cardinal_mk_le_one⟩ := mk_le_one_iff_set_subsingleton
#align set.subsingleton.cardinal_mk_le_one Set.Subsingleton.cardinal_mk_le_one
instance : Add Cardinal.{u} :=
⟨map₂ Sum fun _ _ _ _ => Equiv.sumCongr⟩
theorem add_def (α β : Type u) : #α + #β = #(Sum α β) :=
rfl
#align cardinal.add_def Cardinal.add_def
instance : NatCast Cardinal.{u} :=
⟨fun n => lift #(Fin n)⟩
@[simp]
theorem mk_sum (α : Type u) (β : Type v) : #(α ⊕ β) = lift.{v, u} #α + lift.{u, v} #β :=
mk_congr (Equiv.ulift.symm.sumCongr Equiv.ulift.symm)
#align cardinal.mk_sum Cardinal.mk_sum
@[simp]
theorem mk_option {α : Type u} : #(Option α) = #α + 1 := by
rw [(Equiv.optionEquivSumPUnit.{u, u} α).cardinal_eq, mk_sum, mk_eq_one PUnit, lift_id, lift_id]
#align cardinal.mk_option Cardinal.mk_option
@[simp]
theorem mk_psum (α : Type u) (β : Type v) : #(PSum α β) = lift.{v} #α + lift.{u} #β :=
(mk_congr (Equiv.psumEquivSum α β)).trans (mk_sum α β)
#align cardinal.mk_psum Cardinal.mk_psum
@[simp]
theorem mk_fintype (α : Type u) [h : Fintype α] : #α = Fintype.card α :=
mk_congr (Fintype.equivOfCardEq (by simp))
protected theorem cast_succ (n : ℕ) : ((n + 1 : ℕ) : Cardinal.{u}) = n + 1 := by
change #(ULift.{u} (Fin (n+1))) = # (ULift.{u} (Fin n)) + 1
rw [← mk_option, mk_fintype, mk_fintype]
simp only [Fintype.card_ulift, Fintype.card_fin, Fintype.card_option]
instance : Mul Cardinal.{u} :=
⟨map₂ Prod fun _ _ _ _ => Equiv.prodCongr⟩
theorem mul_def (α β : Type u) : #α * #β = #(α × β) :=
rfl
#align cardinal.mul_def Cardinal.mul_def
@[simp]
theorem mk_prod (α : Type u) (β : Type v) : #(α × β) = lift.{v, u} #α * lift.{u, v} #β :=
mk_congr (Equiv.ulift.symm.prodCongr Equiv.ulift.symm)
#align cardinal.mk_prod Cardinal.mk_prod
private theorem mul_comm' (a b : Cardinal.{u}) : a * b = b * a :=
inductionOn₂ a b fun α β => mk_congr <| Equiv.prodComm α β
instance instPowCardinal : Pow Cardinal.{u} Cardinal.{u} :=
⟨map₂ (fun α β => β → α) fun _ _ _ _ e₁ e₂ => e₂.arrowCongr e₁⟩
theorem power_def (α β : Type u) : #α ^ #β = #(β → α) :=
rfl
#align cardinal.power_def Cardinal.power_def
theorem mk_arrow (α : Type u) (β : Type v) : #(α → β) = (lift.{u} #β^lift.{v} #α) :=
mk_congr (Equiv.ulift.symm.arrowCongr Equiv.ulift.symm)
#align cardinal.mk_arrow Cardinal.mk_arrow
@[simp]
theorem lift_power (a b : Cardinal.{u}) : lift.{v} (a ^ b) = lift.{v} a ^ lift.{v} b :=
inductionOn₂ a b fun _ _ =>
mk_congr <| Equiv.ulift.trans (Equiv.ulift.arrowCongr Equiv.ulift).symm
#align cardinal.lift_power Cardinal.lift_power
@[simp]
theorem power_zero {a : Cardinal} : a ^ (0 : Cardinal) = 1 :=
inductionOn a fun _ => mk_eq_one _
#align cardinal.power_zero Cardinal.power_zero
@[simp]
theorem power_one {a : Cardinal.{u}} : a ^ (1 : Cardinal) = a :=
inductionOn a fun α => mk_congr (Equiv.funUnique (ULift.{u} (Fin 1)) α)
#align cardinal.power_one Cardinal.power_one
theorem power_add {a b c : Cardinal} : a ^ (b + c) = a ^ b * a ^ c :=
inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.sumArrowEquivProdArrow β γ α
#align cardinal.power_add Cardinal.power_add
instance commSemiring : CommSemiring Cardinal.{u} where
zero := 0
one := 1
add := (· + ·)
mul := (· * ·)
zero_add a := inductionOn a fun α => mk_congr <| Equiv.emptySum (ULift (Fin 0)) α
add_zero a := inductionOn a fun α => mk_congr <| Equiv.sumEmpty α (ULift (Fin 0))
add_assoc a b c := inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.sumAssoc α β γ
add_comm a b := inductionOn₂ a b fun α β => mk_congr <| Equiv.sumComm α β
zero_mul a := inductionOn a fun α => mk_eq_zero _
mul_zero a := inductionOn a fun α => mk_eq_zero _
one_mul a := inductionOn a fun α => mk_congr <| Equiv.uniqueProd α (ULift (Fin 1))
mul_one a := inductionOn a fun α => mk_congr <| Equiv.prodUnique α (ULift (Fin 1))
mul_assoc a b c := inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.prodAssoc α β γ
mul_comm := mul_comm'
left_distrib a b c := inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.prodSumDistrib α β γ
right_distrib a b c := inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.sumProdDistrib α β γ
nsmul := nsmulRec
npow n c := c ^ (n : Cardinal)
npow_zero := @power_zero
npow_succ n c := show c ^ (↑(n + 1) : Cardinal) = c ^ (↑n : Cardinal) * c
by rw [Cardinal.cast_succ, power_add, power_one, mul_comm']
natCast := (fun n => lift.{u} #(Fin n) : ℕ → Cardinal.{u})
natCast_zero := rfl
natCast_succ := Cardinal.cast_succ
@[simp]
theorem one_power {a : Cardinal} : (1 : Cardinal) ^ a = 1 :=
inductionOn a fun _ => mk_eq_one _
#align cardinal.one_power Cardinal.one_power
-- porting note (#10618): simp can prove this
-- @[simp]
theorem mk_bool : #Bool = 2 := by simp
#align cardinal.mk_bool Cardinal.mk_bool
-- porting note (#10618): simp can prove this
-- @[simp]
theorem mk_Prop : #Prop = 2 := by simp
#align cardinal.mk_Prop Cardinal.mk_Prop
@[simp]
theorem zero_power {a : Cardinal} : a ≠ 0 → (0 : Cardinal) ^ a = 0 :=
inductionOn a fun _ heq =>
mk_eq_zero_iff.2 <|
isEmpty_pi.2 <|
let ⟨a⟩ := mk_ne_zero_iff.1 heq
⟨a, inferInstance⟩
#align cardinal.zero_power Cardinal.zero_power
theorem power_ne_zero {a : Cardinal} (b : Cardinal) : a ≠ 0 → a ^ b ≠ 0 :=
inductionOn₂ a b fun _ _ h =>
let ⟨a⟩ := mk_ne_zero_iff.1 h
mk_ne_zero_iff.2 ⟨fun _ => a⟩
#align cardinal.power_ne_zero Cardinal.power_ne_zero
theorem mul_power {a b c : Cardinal} : (a * b) ^ c = a ^ c * b ^ c :=
inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.arrowProdEquivProdArrow α β γ
#align cardinal.mul_power Cardinal.mul_power
theorem power_mul {a b c : Cardinal} : a ^ (b * c) = (a ^ b) ^ c := by
rw [mul_comm b c]
exact inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.curry γ β α
#align cardinal.power_mul Cardinal.power_mul
@[simp]
theorem pow_cast_right (a : Cardinal.{u}) (n : ℕ) : a ^ (↑n : Cardinal.{u}) = a ^ n :=
rfl
#align cardinal.pow_cast_right Cardinal.pow_cast_right
@[simp]
theorem lift_one : lift 1 = 1 := mk_eq_one _
#align cardinal.lift_one Cardinal.lift_one
@[simp]
theorem lift_eq_one {a : Cardinal.{v}} : lift.{u} a = 1 ↔ a = 1 :=
lift_injective.eq_iff' lift_one
@[simp]
theorem lift_add (a b : Cardinal.{u}) : lift.{v} (a + b) = lift.{v} a + lift.{v} b :=
inductionOn₂ a b fun _ _ =>
mk_congr <| Equiv.ulift.trans (Equiv.sumCongr Equiv.ulift Equiv.ulift).symm
#align cardinal.lift_add Cardinal.lift_add
@[simp]
theorem lift_mul (a b : Cardinal.{u}) : lift.{v} (a * b) = lift.{v} a * lift.{v} b :=
inductionOn₂ a b fun _ _ =>
mk_congr <| Equiv.ulift.trans (Equiv.prodCongr Equiv.ulift Equiv.ulift).symm
#align cardinal.lift_mul Cardinal.lift_mul
section deprecated
set_option linter.deprecated false
@[simp, deprecated (since := "2023-02-11")]
theorem lift_bit0 (a : Cardinal) : lift.{v} (bit0 a) = bit0 (lift.{v} a) :=
lift_add a a
#align cardinal.lift_bit0 Cardinal.lift_bit0
@[simp, deprecated (since := "2023-02-11")]
| Mathlib/SetTheory/Cardinal/Basic.lean | 632 | 632 | theorem lift_bit1 (a : Cardinal) : lift.{v} (bit1 a) = bit1 (lift.{v} a) := by | simp [bit1]
|
import Mathlib.Algebra.GroupWithZero.Indicator
import Mathlib.Topology.ContinuousOn
import Mathlib.Topology.Instances.ENNReal
#align_import topology.semicontinuous from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology ENNReal
open Set Function Filter
variable {α : Type*} [TopologicalSpace α] {β : Type*} [Preorder β] {f g : α → β} {x : α}
{s t : Set α} {y z : β}
def LowerSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) :=
∀ y < f x, ∀ᶠ x' in 𝓝[s] x, y < f x'
#align lower_semicontinuous_within_at LowerSemicontinuousWithinAt
def LowerSemicontinuousOn (f : α → β) (s : Set α) :=
∀ x ∈ s, LowerSemicontinuousWithinAt f s x
#align lower_semicontinuous_on LowerSemicontinuousOn
def LowerSemicontinuousAt (f : α → β) (x : α) :=
∀ y < f x, ∀ᶠ x' in 𝓝 x, y < f x'
#align lower_semicontinuous_at LowerSemicontinuousAt
def LowerSemicontinuous (f : α → β) :=
∀ x, LowerSemicontinuousAt f x
#align lower_semicontinuous LowerSemicontinuous
def UpperSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) :=
∀ y, f x < y → ∀ᶠ x' in 𝓝[s] x, f x' < y
#align upper_semicontinuous_within_at UpperSemicontinuousWithinAt
def UpperSemicontinuousOn (f : α → β) (s : Set α) :=
∀ x ∈ s, UpperSemicontinuousWithinAt f s x
#align upper_semicontinuous_on UpperSemicontinuousOn
def UpperSemicontinuousAt (f : α → β) (x : α) :=
∀ y, f x < y → ∀ᶠ x' in 𝓝 x, f x' < y
#align upper_semicontinuous_at UpperSemicontinuousAt
def UpperSemicontinuous (f : α → β) :=
∀ x, UpperSemicontinuousAt f x
#align upper_semicontinuous UpperSemicontinuous
theorem LowerSemicontinuousWithinAt.mono (h : LowerSemicontinuousWithinAt f s x) (hst : t ⊆ s) :
LowerSemicontinuousWithinAt f t x := fun y hy =>
Filter.Eventually.filter_mono (nhdsWithin_mono _ hst) (h y hy)
#align lower_semicontinuous_within_at.mono LowerSemicontinuousWithinAt.mono
theorem lowerSemicontinuousWithinAt_univ_iff :
LowerSemicontinuousWithinAt f univ x ↔ LowerSemicontinuousAt f x := by
simp [LowerSemicontinuousWithinAt, LowerSemicontinuousAt, nhdsWithin_univ]
#align lower_semicontinuous_within_at_univ_iff lowerSemicontinuousWithinAt_univ_iff
theorem LowerSemicontinuousAt.lowerSemicontinuousWithinAt (s : Set α)
(h : LowerSemicontinuousAt f x) : LowerSemicontinuousWithinAt f s x := fun y hy =>
Filter.Eventually.filter_mono nhdsWithin_le_nhds (h y hy)
#align lower_semicontinuous_at.lower_semicontinuous_within_at LowerSemicontinuousAt.lowerSemicontinuousWithinAt
theorem LowerSemicontinuousOn.lowerSemicontinuousWithinAt (h : LowerSemicontinuousOn f s)
(hx : x ∈ s) : LowerSemicontinuousWithinAt f s x :=
h x hx
#align lower_semicontinuous_on.lower_semicontinuous_within_at LowerSemicontinuousOn.lowerSemicontinuousWithinAt
theorem LowerSemicontinuousOn.mono (h : LowerSemicontinuousOn f s) (hst : t ⊆ s) :
LowerSemicontinuousOn f t := fun x hx => (h x (hst hx)).mono hst
#align lower_semicontinuous_on.mono LowerSemicontinuousOn.mono
theorem lowerSemicontinuousOn_univ_iff : LowerSemicontinuousOn f univ ↔ LowerSemicontinuous f := by
simp [LowerSemicontinuousOn, LowerSemicontinuous, lowerSemicontinuousWithinAt_univ_iff]
#align lower_semicontinuous_on_univ_iff lowerSemicontinuousOn_univ_iff
theorem LowerSemicontinuous.lowerSemicontinuousAt (h : LowerSemicontinuous f) (x : α) :
LowerSemicontinuousAt f x :=
h x
#align lower_semicontinuous.lower_semicontinuous_at LowerSemicontinuous.lowerSemicontinuousAt
theorem LowerSemicontinuous.lowerSemicontinuousWithinAt (h : LowerSemicontinuous f) (s : Set α)
(x : α) : LowerSemicontinuousWithinAt f s x :=
(h x).lowerSemicontinuousWithinAt s
#align lower_semicontinuous.lower_semicontinuous_within_at LowerSemicontinuous.lowerSemicontinuousWithinAt
theorem LowerSemicontinuous.lowerSemicontinuousOn (h : LowerSemicontinuous f) (s : Set α) :
LowerSemicontinuousOn f s := fun x _hx => h.lowerSemicontinuousWithinAt s x
#align lower_semicontinuous.lower_semicontinuous_on LowerSemicontinuous.lowerSemicontinuousOn
theorem lowerSemicontinuousWithinAt_const : LowerSemicontinuousWithinAt (fun _x => z) s x :=
fun _y hy => Filter.eventually_of_forall fun _x => hy
#align lower_semicontinuous_within_at_const lowerSemicontinuousWithinAt_const
theorem lowerSemicontinuousAt_const : LowerSemicontinuousAt (fun _x => z) x := fun _y hy =>
Filter.eventually_of_forall fun _x => hy
#align lower_semicontinuous_at_const lowerSemicontinuousAt_const
theorem lowerSemicontinuousOn_const : LowerSemicontinuousOn (fun _x => z) s := fun _x _hx =>
lowerSemicontinuousWithinAt_const
#align lower_semicontinuous_on_const lowerSemicontinuousOn_const
theorem lowerSemicontinuous_const : LowerSemicontinuous fun _x : α => z := fun _x =>
lowerSemicontinuousAt_const
#align lower_semicontinuous_const lowerSemicontinuous_const
section
variable [Zero β]
theorem IsOpen.lowerSemicontinuous_indicator (hs : IsOpen s) (hy : 0 ≤ y) :
LowerSemicontinuous (indicator s fun _x => y) := by
intro x z hz
by_cases h : x ∈ s <;> simp [h] at hz
· filter_upwards [hs.mem_nhds h]
simp (config := { contextual := true }) [hz]
· refine Filter.eventually_of_forall fun x' => ?_
by_cases h' : x' ∈ s <;> simp [h', hz.trans_le hy, hz]
#align is_open.lower_semicontinuous_indicator IsOpen.lowerSemicontinuous_indicator
theorem IsOpen.lowerSemicontinuousOn_indicator (hs : IsOpen s) (hy : 0 ≤ y) :
LowerSemicontinuousOn (indicator s fun _x => y) t :=
(hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousOn t
#align is_open.lower_semicontinuous_on_indicator IsOpen.lowerSemicontinuousOn_indicator
theorem IsOpen.lowerSemicontinuousAt_indicator (hs : IsOpen s) (hy : 0 ≤ y) :
LowerSemicontinuousAt (indicator s fun _x => y) x :=
(hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousAt x
#align is_open.lower_semicontinuous_at_indicator IsOpen.lowerSemicontinuousAt_indicator
theorem IsOpen.lowerSemicontinuousWithinAt_indicator (hs : IsOpen s) (hy : 0 ≤ y) :
LowerSemicontinuousWithinAt (indicator s fun _x => y) t x :=
(hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousWithinAt t x
#align is_open.lower_semicontinuous_within_at_indicator IsOpen.lowerSemicontinuousWithinAt_indicator
theorem IsClosed.lowerSemicontinuous_indicator (hs : IsClosed s) (hy : y ≤ 0) :
LowerSemicontinuous (indicator s fun _x => y) := by
intro x z hz
by_cases h : x ∈ s <;> simp [h] at hz
· refine Filter.eventually_of_forall fun x' => ?_
by_cases h' : x' ∈ s <;> simp [h', hz, hz.trans_le hy]
· filter_upwards [hs.isOpen_compl.mem_nhds h]
simp (config := { contextual := true }) [hz]
#align is_closed.lower_semicontinuous_indicator IsClosed.lowerSemicontinuous_indicator
theorem IsClosed.lowerSemicontinuousOn_indicator (hs : IsClosed s) (hy : y ≤ 0) :
LowerSemicontinuousOn (indicator s fun _x => y) t :=
(hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousOn t
#align is_closed.lower_semicontinuous_on_indicator IsClosed.lowerSemicontinuousOn_indicator
theorem IsClosed.lowerSemicontinuousAt_indicator (hs : IsClosed s) (hy : y ≤ 0) :
LowerSemicontinuousAt (indicator s fun _x => y) x :=
(hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousAt x
#align is_closed.lower_semicontinuous_at_indicator IsClosed.lowerSemicontinuousAt_indicator
theorem IsClosed.lowerSemicontinuousWithinAt_indicator (hs : IsClosed s) (hy : y ≤ 0) :
LowerSemicontinuousWithinAt (indicator s fun _x => y) t x :=
(hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousWithinAt t x
#align is_closed.lower_semicontinuous_within_at_indicator IsClosed.lowerSemicontinuousWithinAt_indicator
end
theorem lowerSemicontinuous_iff_isOpen_preimage :
LowerSemicontinuous f ↔ ∀ y, IsOpen (f ⁻¹' Ioi y) :=
⟨fun H y => isOpen_iff_mem_nhds.2 fun x hx => H x y hx, fun H _x y y_lt =>
IsOpen.mem_nhds (H y) y_lt⟩
#align lower_semicontinuous_iff_is_open_preimage lowerSemicontinuous_iff_isOpen_preimage
theorem LowerSemicontinuous.isOpen_preimage (hf : LowerSemicontinuous f) (y : β) :
IsOpen (f ⁻¹' Ioi y) :=
lowerSemicontinuous_iff_isOpen_preimage.1 hf y
#align lower_semicontinuous.is_open_preimage LowerSemicontinuous.isOpen_preimage
section
variable {γ : Type*} [LinearOrder γ]
theorem lowerSemicontinuous_iff_isClosed_preimage {f : α → γ} :
LowerSemicontinuous f ↔ ∀ y, IsClosed (f ⁻¹' Iic y) := by
rw [lowerSemicontinuous_iff_isOpen_preimage]
simp only [← isOpen_compl_iff, ← preimage_compl, compl_Iic]
#align lower_semicontinuous_iff_is_closed_preimage lowerSemicontinuous_iff_isClosed_preimage
theorem LowerSemicontinuous.isClosed_preimage {f : α → γ} (hf : LowerSemicontinuous f) (y : γ) :
IsClosed (f ⁻¹' Iic y) :=
lowerSemicontinuous_iff_isClosed_preimage.1 hf y
#align lower_semicontinuous.is_closed_preimage LowerSemicontinuous.isClosed_preimage
variable [TopologicalSpace γ] [OrderTopology γ]
theorem ContinuousWithinAt.lowerSemicontinuousWithinAt {f : α → γ} (h : ContinuousWithinAt f s x) :
LowerSemicontinuousWithinAt f s x := fun _y hy => h (Ioi_mem_nhds hy)
#align continuous_within_at.lower_semicontinuous_within_at ContinuousWithinAt.lowerSemicontinuousWithinAt
theorem ContinuousAt.lowerSemicontinuousAt {f : α → γ} (h : ContinuousAt f x) :
LowerSemicontinuousAt f x := fun _y hy => h (Ioi_mem_nhds hy)
#align continuous_at.lower_semicontinuous_at ContinuousAt.lowerSemicontinuousAt
theorem ContinuousOn.lowerSemicontinuousOn {f : α → γ} (h : ContinuousOn f s) :
LowerSemicontinuousOn f s := fun x hx => (h x hx).lowerSemicontinuousWithinAt
#align continuous_on.lower_semicontinuous_on ContinuousOn.lowerSemicontinuousOn
theorem Continuous.lowerSemicontinuous {f : α → γ} (h : Continuous f) : LowerSemicontinuous f :=
fun _x => h.continuousAt.lowerSemicontinuousAt
#align continuous.lower_semicontinuous Continuous.lowerSemicontinuous
end
section
variable {γ : Type*} [CompleteLinearOrder γ] [DenselyOrdered γ]
theorem lowerSemicontinuousWithinAt_iff_le_liminf {f : α → γ} :
LowerSemicontinuousWithinAt f s x ↔ f x ≤ liminf f (𝓝[s] x) := by
constructor
· intro hf; unfold LowerSemicontinuousWithinAt at hf
contrapose! hf
obtain ⟨y, lty, ylt⟩ := exists_between hf; use y
exact ⟨ylt, fun h => lty.not_le
(le_liminf_of_le (by isBoundedDefault) (h.mono fun _ hx => le_of_lt hx))⟩
exact fun hf y ylt => eventually_lt_of_lt_liminf (ylt.trans_le hf)
alias ⟨LowerSemicontinuousWithinAt.le_liminf, _⟩ := lowerSemicontinuousWithinAt_iff_le_liminf
theorem lowerSemicontinuousAt_iff_le_liminf {f : α → γ} :
LowerSemicontinuousAt f x ↔ f x ≤ liminf f (𝓝 x) := by
rw [← lowerSemicontinuousWithinAt_univ_iff, lowerSemicontinuousWithinAt_iff_le_liminf,
← nhdsWithin_univ]
alias ⟨LowerSemicontinuousAt.le_liminf, _⟩ := lowerSemicontinuousAt_iff_le_liminf
theorem lowerSemicontinuous_iff_le_liminf {f : α → γ} :
LowerSemicontinuous f ↔ ∀ x, f x ≤ liminf f (𝓝 x) := by
simp only [← lowerSemicontinuousAt_iff_le_liminf, LowerSemicontinuous]
alias ⟨LowerSemicontinuous.le_liminf, _⟩ := lowerSemicontinuous_iff_le_liminf
theorem lowerSemicontinuousOn_iff_le_liminf {f : α → γ} :
LowerSemicontinuousOn f s ↔ ∀ x ∈ s, f x ≤ liminf f (𝓝[s] x) := by
simp only [← lowerSemicontinuousWithinAt_iff_le_liminf, LowerSemicontinuousOn]
alias ⟨LowerSemicontinuousOn.le_liminf, _⟩ := lowerSemicontinuousOn_iff_le_liminf
variable [TopologicalSpace γ] [OrderTopology γ]
theorem lowerSemicontinuous_iff_isClosed_epigraph {f : α → γ} :
LowerSemicontinuous f ↔ IsClosed {p : α × γ | f p.1 ≤ p.2} := by
constructor
· rw [lowerSemicontinuous_iff_le_liminf, isClosed_iff_forall_filter]
rintro hf ⟨x, y⟩ F F_ne h h'
rw [nhds_prod_eq, le_prod] at h'
calc f x ≤ liminf f (𝓝 x) := hf x
_ ≤ liminf f (map Prod.fst F) := liminf_le_liminf_of_le h'.1
_ = liminf (f ∘ Prod.fst) F := (Filter.liminf_comp _ _ _).symm
_ ≤ liminf Prod.snd F := liminf_le_liminf <| by
simpa using (eventually_principal.2 fun (_ : α × γ) ↦ id).filter_mono h
_ = y := h'.2.liminf_eq
· rw [lowerSemicontinuous_iff_isClosed_preimage]
exact fun hf y ↦ hf.preimage (Continuous.Prod.mk_left y)
@[deprecated (since := "2024-03-02")]
alias lowerSemicontinuous_iff_IsClosed_epigraph := lowerSemicontinuous_iff_isClosed_epigraph
alias ⟨LowerSemicontinuous.isClosed_epigraph, _⟩ := lowerSemicontinuous_iff_isClosed_epigraph
@[deprecated (since := "2024-03-02")]
alias LowerSemicontinuous.IsClosed_epigraph := LowerSemicontinuous.isClosed_epigraph
end
section
variable {γ : Type*} [LinearOrder γ] [TopologicalSpace γ] [OrderTopology γ]
variable {δ : Type*} [LinearOrder δ] [TopologicalSpace δ] [OrderTopology δ]
variable {ι : Type*} [TopologicalSpace ι]
theorem ContinuousAt.comp_lowerSemicontinuousWithinAt {g : γ → δ} {f : α → γ}
(hg : ContinuousAt g (f x)) (hf : LowerSemicontinuousWithinAt f s x) (gmon : Monotone g) :
LowerSemicontinuousWithinAt (g ∘ f) s x := by
intro y hy
by_cases h : ∃ l, l < f x
· obtain ⟨z, zlt, hz⟩ : ∃ z < f x, Ioc z (f x) ⊆ g ⁻¹' Ioi y :=
exists_Ioc_subset_of_mem_nhds (hg (Ioi_mem_nhds hy)) h
filter_upwards [hf z zlt] with a ha
calc
y < g (min (f x) (f a)) := hz (by simp [zlt, ha, le_refl])
_ ≤ g (f a) := gmon (min_le_right _ _)
· simp only [not_exists, not_lt] at h
exact Filter.eventually_of_forall fun a => hy.trans_le (gmon (h (f a)))
#align continuous_at.comp_lower_semicontinuous_within_at ContinuousAt.comp_lowerSemicontinuousWithinAt
theorem ContinuousAt.comp_lowerSemicontinuousAt {g : γ → δ} {f : α → γ} (hg : ContinuousAt g (f x))
(hf : LowerSemicontinuousAt f x) (gmon : Monotone g) : LowerSemicontinuousAt (g ∘ f) x := by
simp only [← lowerSemicontinuousWithinAt_univ_iff] at hf ⊢
exact hg.comp_lowerSemicontinuousWithinAt hf gmon
#align continuous_at.comp_lower_semicontinuous_at ContinuousAt.comp_lowerSemicontinuousAt
theorem Continuous.comp_lowerSemicontinuousOn {g : γ → δ} {f : α → γ} (hg : Continuous g)
(hf : LowerSemicontinuousOn f s) (gmon : Monotone g) : LowerSemicontinuousOn (g ∘ f) s :=
fun x hx => hg.continuousAt.comp_lowerSemicontinuousWithinAt (hf x hx) gmon
#align continuous.comp_lower_semicontinuous_on Continuous.comp_lowerSemicontinuousOn
theorem Continuous.comp_lowerSemicontinuous {g : γ → δ} {f : α → γ} (hg : Continuous g)
(hf : LowerSemicontinuous f) (gmon : Monotone g) : LowerSemicontinuous (g ∘ f) := fun x =>
hg.continuousAt.comp_lowerSemicontinuousAt (hf x) gmon
#align continuous.comp_lower_semicontinuous Continuous.comp_lowerSemicontinuous
theorem ContinuousAt.comp_lowerSemicontinuousWithinAt_antitone {g : γ → δ} {f : α → γ}
(hg : ContinuousAt g (f x)) (hf : LowerSemicontinuousWithinAt f s x) (gmon : Antitone g) :
UpperSemicontinuousWithinAt (g ∘ f) s x :=
@ContinuousAt.comp_lowerSemicontinuousWithinAt α _ x s γ _ _ _ δᵒᵈ _ _ _ g f hg hf gmon
#align continuous_at.comp_lower_semicontinuous_within_at_antitone ContinuousAt.comp_lowerSemicontinuousWithinAt_antitone
theorem ContinuousAt.comp_lowerSemicontinuousAt_antitone {g : γ → δ} {f : α → γ}
(hg : ContinuousAt g (f x)) (hf : LowerSemicontinuousAt f x) (gmon : Antitone g) :
UpperSemicontinuousAt (g ∘ f) x :=
@ContinuousAt.comp_lowerSemicontinuousAt α _ x γ _ _ _ δᵒᵈ _ _ _ g f hg hf gmon
#align continuous_at.comp_lower_semicontinuous_at_antitone ContinuousAt.comp_lowerSemicontinuousAt_antitone
theorem Continuous.comp_lowerSemicontinuousOn_antitone {g : γ → δ} {f : α → γ} (hg : Continuous g)
(hf : LowerSemicontinuousOn f s) (gmon : Antitone g) : UpperSemicontinuousOn (g ∘ f) s :=
fun x hx => hg.continuousAt.comp_lowerSemicontinuousWithinAt_antitone (hf x hx) gmon
#align continuous.comp_lower_semicontinuous_on_antitone Continuous.comp_lowerSemicontinuousOn_antitone
theorem Continuous.comp_lowerSemicontinuous_antitone {g : γ → δ} {f : α → γ} (hg : Continuous g)
(hf : LowerSemicontinuous f) (gmon : Antitone g) : UpperSemicontinuous (g ∘ f) := fun x =>
hg.continuousAt.comp_lowerSemicontinuousAt_antitone (hf x) gmon
#align continuous.comp_lower_semicontinuous_antitone Continuous.comp_lowerSemicontinuous_antitone
theorem LowerSemicontinuousAt.comp_continuousAt {f : α → β} {g : ι → α} {x : ι}
(hf : LowerSemicontinuousAt f (g x)) (hg : ContinuousAt g x) :
LowerSemicontinuousAt (fun x ↦ f (g x)) x :=
fun _ lt ↦ hg.eventually (hf _ lt)
theorem LowerSemicontinuousAt.comp_continuousAt_of_eq {f : α → β} {g : ι → α} {y : α} {x : ι}
(hf : LowerSemicontinuousAt f y) (hg : ContinuousAt g x) (hy : g x = y) :
LowerSemicontinuousAt (fun x ↦ f (g x)) x := by
rw [← hy] at hf
exact comp_continuousAt hf hg
theorem LowerSemicontinuous.comp_continuous {f : α → β} {g : ι → α}
(hf : LowerSemicontinuous f) (hg : Continuous g) : LowerSemicontinuous fun x ↦ f (g x) :=
fun x ↦ (hf (g x)).comp_continuousAt hg.continuousAt
end
section
variable {ι : Type*} {γ : Type*} [LinearOrderedAddCommMonoid γ] [TopologicalSpace γ]
[OrderTopology γ]
theorem LowerSemicontinuousWithinAt.add' {f g : α → γ} (hf : LowerSemicontinuousWithinAt f s x)
(hg : LowerSemicontinuousWithinAt g s x)
(hcont : ContinuousAt (fun p : γ × γ => p.1 + p.2) (f x, g x)) :
LowerSemicontinuousWithinAt (fun z => f z + g z) s x := by
intro y hy
obtain ⟨u, v, u_open, xu, v_open, xv, h⟩ :
∃ u v : Set γ,
IsOpen u ∧ f x ∈ u ∧ IsOpen v ∧ g x ∈ v ∧ u ×ˢ v ⊆ { p : γ × γ | y < p.fst + p.snd } :=
mem_nhds_prod_iff'.1 (hcont (isOpen_Ioi.mem_nhds hy))
by_cases hx₁ : ∃ l, l < f x
· obtain ⟨z₁, z₁lt, h₁⟩ : ∃ z₁ < f x, Ioc z₁ (f x) ⊆ u :=
exists_Ioc_subset_of_mem_nhds (u_open.mem_nhds xu) hx₁
by_cases hx₂ : ∃ l, l < g x
· obtain ⟨z₂, z₂lt, h₂⟩ : ∃ z₂ < g x, Ioc z₂ (g x) ⊆ v :=
exists_Ioc_subset_of_mem_nhds (v_open.mem_nhds xv) hx₂
filter_upwards [hf z₁ z₁lt, hg z₂ z₂lt] with z h₁z h₂z
have A1 : min (f z) (f x) ∈ u := by
by_cases H : f z ≤ f x
· simp [H]
exact h₁ ⟨h₁z, H⟩
· simp [le_of_not_le H]
exact h₁ ⟨z₁lt, le_rfl⟩
have A2 : min (g z) (g x) ∈ v := by
by_cases H : g z ≤ g x
· simp [H]
exact h₂ ⟨h₂z, H⟩
· simp [le_of_not_le H]
exact h₂ ⟨z₂lt, le_rfl⟩
have : (min (f z) (f x), min (g z) (g x)) ∈ u ×ˢ v := ⟨A1, A2⟩
calc
y < min (f z) (f x) + min (g z) (g x) := h this
_ ≤ f z + g z := add_le_add (min_le_left _ _) (min_le_left _ _)
· simp only [not_exists, not_lt] at hx₂
filter_upwards [hf z₁ z₁lt] with z h₁z
have A1 : min (f z) (f x) ∈ u := by
by_cases H : f z ≤ f x
· simp [H]
exact h₁ ⟨h₁z, H⟩
· simp [le_of_not_le H]
exact h₁ ⟨z₁lt, le_rfl⟩
have : (min (f z) (f x), g x) ∈ u ×ˢ v := ⟨A1, xv⟩
calc
y < min (f z) (f x) + g x := h this
_ ≤ f z + g z := add_le_add (min_le_left _ _) (hx₂ (g z))
· simp only [not_exists, not_lt] at hx₁
by_cases hx₂ : ∃ l, l < g x
· obtain ⟨z₂, z₂lt, h₂⟩ : ∃ z₂ < g x, Ioc z₂ (g x) ⊆ v :=
exists_Ioc_subset_of_mem_nhds (v_open.mem_nhds xv) hx₂
filter_upwards [hg z₂ z₂lt] with z h₂z
have A2 : min (g z) (g x) ∈ v := by
by_cases H : g z ≤ g x
· simp [H]
exact h₂ ⟨h₂z, H⟩
· simp [le_of_not_le H]
exact h₂ ⟨z₂lt, le_rfl⟩
have : (f x, min (g z) (g x)) ∈ u ×ˢ v := ⟨xu, A2⟩
calc
y < f x + min (g z) (g x) := h this
_ ≤ f z + g z := add_le_add (hx₁ (f z)) (min_le_left _ _)
· simp only [not_exists, not_lt] at hx₁ hx₂
apply Filter.eventually_of_forall
intro z
have : (f x, g x) ∈ u ×ˢ v := ⟨xu, xv⟩
calc
y < f x + g x := h this
_ ≤ f z + g z := add_le_add (hx₁ (f z)) (hx₂ (g z))
#align lower_semicontinuous_within_at.add' LowerSemicontinuousWithinAt.add'
theorem LowerSemicontinuousAt.add' {f g : α → γ} (hf : LowerSemicontinuousAt f x)
(hg : LowerSemicontinuousAt g x)
(hcont : ContinuousAt (fun p : γ × γ => p.1 + p.2) (f x, g x)) :
LowerSemicontinuousAt (fun z => f z + g z) x := by
simp_rw [← lowerSemicontinuousWithinAt_univ_iff] at *
exact hf.add' hg hcont
#align lower_semicontinuous_at.add' LowerSemicontinuousAt.add'
theorem LowerSemicontinuousOn.add' {f g : α → γ} (hf : LowerSemicontinuousOn f s)
(hg : LowerSemicontinuousOn g s)
(hcont : ∀ x ∈ s, ContinuousAt (fun p : γ × γ => p.1 + p.2) (f x, g x)) :
LowerSemicontinuousOn (fun z => f z + g z) s := fun x hx =>
(hf x hx).add' (hg x hx) (hcont x hx)
#align lower_semicontinuous_on.add' LowerSemicontinuousOn.add'
theorem LowerSemicontinuous.add' {f g : α → γ} (hf : LowerSemicontinuous f)
(hg : LowerSemicontinuous g)
(hcont : ∀ x, ContinuousAt (fun p : γ × γ => p.1 + p.2) (f x, g x)) :
LowerSemicontinuous fun z => f z + g z := fun x => (hf x).add' (hg x) (hcont x)
#align lower_semicontinuous.add' LowerSemicontinuous.add'
variable [ContinuousAdd γ]
theorem LowerSemicontinuousWithinAt.add {f g : α → γ} (hf : LowerSemicontinuousWithinAt f s x)
(hg : LowerSemicontinuousWithinAt g s x) :
LowerSemicontinuousWithinAt (fun z => f z + g z) s x :=
hf.add' hg continuous_add.continuousAt
#align lower_semicontinuous_within_at.add LowerSemicontinuousWithinAt.add
theorem LowerSemicontinuousAt.add {f g : α → γ} (hf : LowerSemicontinuousAt f x)
(hg : LowerSemicontinuousAt g x) : LowerSemicontinuousAt (fun z => f z + g z) x :=
hf.add' hg continuous_add.continuousAt
#align lower_semicontinuous_at.add LowerSemicontinuousAt.add
theorem LowerSemicontinuousOn.add {f g : α → γ} (hf : LowerSemicontinuousOn f s)
(hg : LowerSemicontinuousOn g s) : LowerSemicontinuousOn (fun z => f z + g z) s :=
hf.add' hg fun _x _hx => continuous_add.continuousAt
#align lower_semicontinuous_on.add LowerSemicontinuousOn.add
theorem LowerSemicontinuous.add {f g : α → γ} (hf : LowerSemicontinuous f)
(hg : LowerSemicontinuous g) : LowerSemicontinuous fun z => f z + g z :=
hf.add' hg fun _x => continuous_add.continuousAt
#align lower_semicontinuous.add LowerSemicontinuous.add
theorem lowerSemicontinuousWithinAt_sum {f : ι → α → γ} {a : Finset ι}
(ha : ∀ i ∈ a, LowerSemicontinuousWithinAt (f i) s x) :
LowerSemicontinuousWithinAt (fun z => ∑ i ∈ a, f i z) s x := by
classical
induction' a using Finset.induction_on with i a ia IH
· exact lowerSemicontinuousWithinAt_const
· simp only [ia, Finset.sum_insert, not_false_iff]
exact
LowerSemicontinuousWithinAt.add (ha _ (Finset.mem_insert_self i a))
(IH fun j ja => ha j (Finset.mem_insert_of_mem ja))
#align lower_semicontinuous_within_at_sum lowerSemicontinuousWithinAt_sum
theorem lowerSemicontinuousAt_sum {f : ι → α → γ} {a : Finset ι}
(ha : ∀ i ∈ a, LowerSemicontinuousAt (f i) x) :
LowerSemicontinuousAt (fun z => ∑ i ∈ a, f i z) x := by
simp_rw [← lowerSemicontinuousWithinAt_univ_iff] at *
exact lowerSemicontinuousWithinAt_sum ha
#align lower_semicontinuous_at_sum lowerSemicontinuousAt_sum
theorem lowerSemicontinuousOn_sum {f : ι → α → γ} {a : Finset ι}
(ha : ∀ i ∈ a, LowerSemicontinuousOn (f i) s) :
LowerSemicontinuousOn (fun z => ∑ i ∈ a, f i z) s := fun x hx =>
lowerSemicontinuousWithinAt_sum fun i hi => ha i hi x hx
#align lower_semicontinuous_on_sum lowerSemicontinuousOn_sum
theorem lowerSemicontinuous_sum {f : ι → α → γ} {a : Finset ι}
(ha : ∀ i ∈ a, LowerSemicontinuous (f i)) : LowerSemicontinuous fun z => ∑ i ∈ a, f i z :=
fun x => lowerSemicontinuousAt_sum fun i hi => ha i hi x
#align lower_semicontinuous_sum lowerSemicontinuous_sum
end
section
variable {ι : Sort*} {δ δ' : Type*} [CompleteLinearOrder δ] [ConditionallyCompleteLinearOrder δ']
theorem lowerSemicontinuousWithinAt_ciSup {f : ι → α → δ'}
(bdd : ∀ᶠ y in 𝓝[s] x, BddAbove (range fun i => f i y))
(h : ∀ i, LowerSemicontinuousWithinAt (f i) s x) :
LowerSemicontinuousWithinAt (fun x' => ⨆ i, f i x') s x := by
cases isEmpty_or_nonempty ι
· simpa only [iSup_of_empty'] using lowerSemicontinuousWithinAt_const
· intro y hy
rcases exists_lt_of_lt_ciSup hy with ⟨i, hi⟩
filter_upwards [h i y hi, bdd] with y hy hy' using hy.trans_le (le_ciSup hy' i)
#align lower_semicontinuous_within_at_csupr lowerSemicontinuousWithinAt_ciSup
theorem lowerSemicontinuousWithinAt_iSup {f : ι → α → δ}
(h : ∀ i, LowerSemicontinuousWithinAt (f i) s x) :
LowerSemicontinuousWithinAt (fun x' => ⨆ i, f i x') s x :=
lowerSemicontinuousWithinAt_ciSup (by simp) h
#align lower_semicontinuous_within_at_supr lowerSemicontinuousWithinAt_iSup
theorem lowerSemicontinuousWithinAt_biSup {p : ι → Prop} {f : ∀ i, p i → α → δ}
(h : ∀ i hi, LowerSemicontinuousWithinAt (f i hi) s x) :
LowerSemicontinuousWithinAt (fun x' => ⨆ (i) (hi), f i hi x') s x :=
lowerSemicontinuousWithinAt_iSup fun i => lowerSemicontinuousWithinAt_iSup fun hi => h i hi
#align lower_semicontinuous_within_at_bsupr lowerSemicontinuousWithinAt_biSup
theorem lowerSemicontinuousAt_ciSup {f : ι → α → δ'}
(bdd : ∀ᶠ y in 𝓝 x, BddAbove (range fun i => f i y)) (h : ∀ i, LowerSemicontinuousAt (f i) x) :
LowerSemicontinuousAt (fun x' => ⨆ i, f i x') x := by
simp_rw [← lowerSemicontinuousWithinAt_univ_iff] at *
rw [← nhdsWithin_univ] at bdd
exact lowerSemicontinuousWithinAt_ciSup bdd h
#align lower_semicontinuous_at_csupr lowerSemicontinuousAt_ciSup
theorem lowerSemicontinuousAt_iSup {f : ι → α → δ} (h : ∀ i, LowerSemicontinuousAt (f i) x) :
LowerSemicontinuousAt (fun x' => ⨆ i, f i x') x :=
lowerSemicontinuousAt_ciSup (by simp) h
#align lower_semicontinuous_at_supr lowerSemicontinuousAt_iSup
theorem lowerSemicontinuousAt_biSup {p : ι → Prop} {f : ∀ i, p i → α → δ}
(h : ∀ i hi, LowerSemicontinuousAt (f i hi) x) :
LowerSemicontinuousAt (fun x' => ⨆ (i) (hi), f i hi x') x :=
lowerSemicontinuousAt_iSup fun i => lowerSemicontinuousAt_iSup fun hi => h i hi
#align lower_semicontinuous_at_bsupr lowerSemicontinuousAt_biSup
theorem lowerSemicontinuousOn_ciSup {f : ι → α → δ'}
(bdd : ∀ x ∈ s, BddAbove (range fun i => f i x)) (h : ∀ i, LowerSemicontinuousOn (f i) s) :
LowerSemicontinuousOn (fun x' => ⨆ i, f i x') s := fun x hx =>
lowerSemicontinuousWithinAt_ciSup (eventually_nhdsWithin_of_forall bdd) fun i => h i x hx
#align lower_semicontinuous_on_csupr lowerSemicontinuousOn_ciSup
theorem lowerSemicontinuousOn_iSup {f : ι → α → δ} (h : ∀ i, LowerSemicontinuousOn (f i) s) :
LowerSemicontinuousOn (fun x' => ⨆ i, f i x') s :=
lowerSemicontinuousOn_ciSup (by simp) h
#align lower_semicontinuous_on_supr lowerSemicontinuousOn_iSup
theorem lowerSemicontinuousOn_biSup {p : ι → Prop} {f : ∀ i, p i → α → δ}
(h : ∀ i hi, LowerSemicontinuousOn (f i hi) s) :
LowerSemicontinuousOn (fun x' => ⨆ (i) (hi), f i hi x') s :=
lowerSemicontinuousOn_iSup fun i => lowerSemicontinuousOn_iSup fun hi => h i hi
#align lower_semicontinuous_on_bsupr lowerSemicontinuousOn_biSup
theorem lowerSemicontinuous_ciSup {f : ι → α → δ'} (bdd : ∀ x, BddAbove (range fun i => f i x))
(h : ∀ i, LowerSemicontinuous (f i)) : LowerSemicontinuous fun x' => ⨆ i, f i x' := fun x =>
lowerSemicontinuousAt_ciSup (eventually_of_forall bdd) fun i => h i x
#align lower_semicontinuous_csupr lowerSemicontinuous_ciSup
theorem lowerSemicontinuous_iSup {f : ι → α → δ} (h : ∀ i, LowerSemicontinuous (f i)) :
LowerSemicontinuous fun x' => ⨆ i, f i x' :=
lowerSemicontinuous_ciSup (by simp) h
#align lower_semicontinuous_supr lowerSemicontinuous_iSup
theorem lowerSemicontinuous_biSup {p : ι → Prop} {f : ∀ i, p i → α → δ}
(h : ∀ i hi, LowerSemicontinuous (f i hi)) :
LowerSemicontinuous fun x' => ⨆ (i) (hi), f i hi x' :=
lowerSemicontinuous_iSup fun i => lowerSemicontinuous_iSup fun hi => h i hi
#align lower_semicontinuous_bsupr lowerSemicontinuous_biSup
end
section
variable {ι : Type*}
theorem lowerSemicontinuousWithinAt_tsum {f : ι → α → ℝ≥0∞}
(h : ∀ i, LowerSemicontinuousWithinAt (f i) s x) :
LowerSemicontinuousWithinAt (fun x' => ∑' i, f i x') s x := by
simp_rw [ENNReal.tsum_eq_iSup_sum]
refine lowerSemicontinuousWithinAt_iSup fun b => ?_
exact lowerSemicontinuousWithinAt_sum fun i _hi => h i
#align lower_semicontinuous_within_at_tsum lowerSemicontinuousWithinAt_tsum
theorem lowerSemicontinuousAt_tsum {f : ι → α → ℝ≥0∞} (h : ∀ i, LowerSemicontinuousAt (f i) x) :
LowerSemicontinuousAt (fun x' => ∑' i, f i x') x := by
simp_rw [← lowerSemicontinuousWithinAt_univ_iff] at *
exact lowerSemicontinuousWithinAt_tsum h
#align lower_semicontinuous_at_tsum lowerSemicontinuousAt_tsum
theorem lowerSemicontinuousOn_tsum {f : ι → α → ℝ≥0∞} (h : ∀ i, LowerSemicontinuousOn (f i) s) :
LowerSemicontinuousOn (fun x' => ∑' i, f i x') s := fun x hx =>
lowerSemicontinuousWithinAt_tsum fun i => h i x hx
#align lower_semicontinuous_on_tsum lowerSemicontinuousOn_tsum
theorem lowerSemicontinuous_tsum {f : ι → α → ℝ≥0∞} (h : ∀ i, LowerSemicontinuous (f i)) :
LowerSemicontinuous fun x' => ∑' i, f i x' := fun x => lowerSemicontinuousAt_tsum fun i => h i x
#align lower_semicontinuous_tsum lowerSemicontinuous_tsum
end
theorem UpperSemicontinuousWithinAt.mono (h : UpperSemicontinuousWithinAt f s x) (hst : t ⊆ s) :
UpperSemicontinuousWithinAt f t x := fun y hy =>
Filter.Eventually.filter_mono (nhdsWithin_mono _ hst) (h y hy)
#align upper_semicontinuous_within_at.mono UpperSemicontinuousWithinAt.mono
theorem upperSemicontinuousWithinAt_univ_iff :
UpperSemicontinuousWithinAt f univ x ↔ UpperSemicontinuousAt f x := by
simp [UpperSemicontinuousWithinAt, UpperSemicontinuousAt, nhdsWithin_univ]
#align upper_semicontinuous_within_at_univ_iff upperSemicontinuousWithinAt_univ_iff
theorem UpperSemicontinuousAt.upperSemicontinuousWithinAt (s : Set α)
(h : UpperSemicontinuousAt f x) : UpperSemicontinuousWithinAt f s x := fun y hy =>
Filter.Eventually.filter_mono nhdsWithin_le_nhds (h y hy)
#align upper_semicontinuous_at.upper_semicontinuous_within_at UpperSemicontinuousAt.upperSemicontinuousWithinAt
theorem UpperSemicontinuousOn.upperSemicontinuousWithinAt (h : UpperSemicontinuousOn f s)
(hx : x ∈ s) : UpperSemicontinuousWithinAt f s x :=
h x hx
#align upper_semicontinuous_on.upper_semicontinuous_within_at UpperSemicontinuousOn.upperSemicontinuousWithinAt
theorem UpperSemicontinuousOn.mono (h : UpperSemicontinuousOn f s) (hst : t ⊆ s) :
UpperSemicontinuousOn f t := fun x hx => (h x (hst hx)).mono hst
#align upper_semicontinuous_on.mono UpperSemicontinuousOn.mono
| Mathlib/Topology/Semicontinuous.lean | 784 | 785 | theorem upperSemicontinuousOn_univ_iff : UpperSemicontinuousOn f univ ↔ UpperSemicontinuous f := by |
simp [UpperSemicontinuousOn, UpperSemicontinuous, upperSemicontinuousWithinAt_univ_iff]
|
import Mathlib.Tactic.CategoryTheory.Coherence
import Mathlib.CategoryTheory.Bicategory.Coherence
namespace CategoryTheory
namespace Bicategory
open Category
open scoped Bicategory
open Mathlib.Tactic.BicategoryCoherence (bicategoricalComp bicategoricalIsoComp)
universe w v u
variable {B : Type u} [Bicategory.{w, v} B] {a b c : B} {f : a ⟶ b} {g : b ⟶ a}
def leftZigzag (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) :=
η ▷ f ⊗≫ f ◁ ε
def rightZigzag (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) :=
g ◁ η ⊗≫ ε ▷ g
theorem rightZigzag_idempotent_of_left_triangle
(η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) (h : leftZigzag η ε = (λ_ _).hom ≫ (ρ_ _).inv) :
rightZigzag η ε ⊗≫ rightZigzag η ε = rightZigzag η ε := by
dsimp only [rightZigzag]
calc
_ = g ◁ η ⊗≫ ((ε ▷ g ▷ 𝟙 a) ≫ (𝟙 b ≫ g) ◁ η) ⊗≫ ε ▷ g := by
simp [bicategoricalComp]; coherence
_ = 𝟙 _ ⊗≫ g ◁ (η ▷ 𝟙 a ≫ (f ≫ g) ◁ η) ⊗≫ (ε ▷ (g ≫ f) ≫ 𝟙 b ◁ ε) ▷ g ⊗≫ 𝟙 _ := by
rw [← whisker_exchange]; simp [bicategoricalComp]; coherence
_ = g ◁ η ⊗≫ g ◁ leftZigzag η ε ▷ g ⊗≫ ε ▷ g := by
rw [← whisker_exchange, ← whisker_exchange]; simp [leftZigzag, bicategoricalComp]; coherence
_ = g ◁ η ⊗≫ ε ▷ g := by
rw [h]; simp [bicategoricalComp]; coherence
structure Adjunction (f : a ⟶ b) (g : b ⟶ a) where
unit : 𝟙 a ⟶ f ≫ g
counit : g ≫ f ⟶ 𝟙 b
left_triangle : leftZigzag unit counit = (λ_ _).hom ≫ (ρ_ _).inv := by aesop_cat
right_triangle : rightZigzag unit counit = (ρ_ _).hom ≫ (λ_ _).inv := by aesop_cat
@[inherit_doc] scoped infixr:15 " ⊣ " => Bicategory.Adjunction
namespace Adjunction
attribute [simp] left_triangle right_triangle
attribute [local simp] leftZigzag rightZigzag
def id (a : B) : 𝟙 a ⊣ 𝟙 a where
unit := (ρ_ _).inv
counit := (ρ_ _).hom
left_triangle := by dsimp; coherence
right_triangle := by dsimp; coherence
instance : Inhabited (Adjunction (𝟙 a) (𝟙 a)) :=
⟨id a⟩
noncomputable section
variable (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b)
def leftZigzagIso (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) :=
whiskerRightIso η f ≪⊗≫ whiskerLeftIso f ε
def rightZigzagIso (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) :=
whiskerLeftIso g η ≪⊗≫ whiskerRightIso ε g
attribute [local simp] leftZigzagIso rightZigzagIso leftZigzag rightZigzag
@[simp]
theorem leftZigzagIso_hom : (leftZigzagIso η ε).hom = leftZigzag η.hom ε.hom :=
rfl
@[simp]
theorem rightZigzagIso_hom : (rightZigzagIso η ε).hom = rightZigzag η.hom ε.hom :=
rfl
@[simp]
theorem leftZigzagIso_inv : (leftZigzagIso η ε).inv = rightZigzag ε.inv η.inv := by
simp [bicategoricalComp, bicategoricalIsoComp]
@[simp]
theorem rightZigzagIso_inv : (rightZigzagIso η ε).inv = leftZigzag ε.inv η.inv := by
simp [bicategoricalComp, bicategoricalIsoComp]
@[simp]
theorem leftZigzagIso_symm : (leftZigzagIso η ε).symm = rightZigzagIso ε.symm η.symm :=
Iso.ext (leftZigzagIso_inv η ε)
@[simp]
theorem rightZigzagIso_symm : (rightZigzagIso η ε).symm = leftZigzagIso ε.symm η.symm :=
Iso.ext (rightZigzagIso_inv η ε)
instance : IsIso (leftZigzag η.hom ε.hom) := inferInstanceAs <| IsIso (leftZigzagIso η ε).hom
instance : IsIso (rightZigzag η.hom ε.hom) := inferInstanceAs <| IsIso (rightZigzagIso η ε).hom
| Mathlib/CategoryTheory/Bicategory/Adjunction.lean | 220 | 226 | theorem right_triangle_of_left_triangle (h : leftZigzag η.hom ε.hom = (λ_ f).hom ≫ (ρ_ f).inv) :
rightZigzag η.hom ε.hom = (ρ_ g).hom ≫ (λ_ g).inv := by |
rw [← cancel_epi (rightZigzag η.hom ε.hom ≫ (λ_ g).hom ≫ (ρ_ g).inv)]
calc
_ = rightZigzag η.hom ε.hom ⊗≫ rightZigzag η.hom ε.hom := by coherence
_ = rightZigzag η.hom ε.hom := rightZigzag_idempotent_of_left_triangle _ _ h
_ = _ := by simp
|
import Mathlib.Data.Fin.VecNotation
import Mathlib.Logic.Embedding.Set
#align_import logic.equiv.fin from "leanprover-community/mathlib"@"bd835ef554f37ef9b804f0903089211f89cb370b"
assert_not_exists MonoidWithZero
universe u
variable {m n : ℕ}
def finZeroEquiv : Fin 0 ≃ Empty :=
Equiv.equivEmpty _
#align fin_zero_equiv finZeroEquiv
def finZeroEquiv' : Fin 0 ≃ PEmpty.{u} :=
Equiv.equivPEmpty _
#align fin_zero_equiv' finZeroEquiv'
def finOneEquiv : Fin 1 ≃ Unit :=
Equiv.equivPUnit _
#align fin_one_equiv finOneEquiv
def finTwoEquiv : Fin 2 ≃ Bool where
toFun := ![false, true]
invFun b := b.casesOn 0 1
left_inv := Fin.forall_fin_two.2 <| by simp
right_inv := Bool.forall_bool.2 <| by simp
#align fin_two_equiv finTwoEquiv
@[simps (config := .asFn)]
def piFinTwoEquiv (α : Fin 2 → Type u) : (∀ i, α i) ≃ α 0 × α 1 where
toFun f := (f 0, f 1)
invFun p := Fin.cons p.1 <| Fin.cons p.2 finZeroElim
left_inv _ := funext <| Fin.forall_fin_two.2 ⟨rfl, rfl⟩
right_inv := fun _ => rfl
#align pi_fin_two_equiv piFinTwoEquiv
#align pi_fin_two_equiv_symm_apply piFinTwoEquiv_symm_apply
#align pi_fin_two_equiv_apply piFinTwoEquiv_apply
theorem Fin.preimage_apply_01_prod {α : Fin 2 → Type u} (s : Set (α 0)) (t : Set (α 1)) :
(fun f : ∀ i, α i => (f 0, f 1)) ⁻¹' s ×ˢ t =
Set.pi Set.univ (Fin.cons s <| Fin.cons t finZeroElim) := by
ext f
simp [Fin.forall_fin_two]
#align fin.preimage_apply_01_prod Fin.preimage_apply_01_prod
theorem Fin.preimage_apply_01_prod' {α : Type u} (s t : Set α) :
(fun f : Fin 2 → α => (f 0, f 1)) ⁻¹' s ×ˢ t = Set.pi Set.univ ![s, t] :=
@Fin.preimage_apply_01_prod (fun _ => α) s t
#align fin.preimage_apply_01_prod' Fin.preimage_apply_01_prod'
@[simps! (config := .asFn)]
def prodEquivPiFinTwo (α β : Type u) : α × β ≃ ∀ i : Fin 2, ![α, β] i :=
(piFinTwoEquiv (Fin.cons α (Fin.cons β finZeroElim))).symm
#align prod_equiv_pi_fin_two prodEquivPiFinTwo
#align prod_equiv_pi_fin_two_apply prodEquivPiFinTwo_apply
#align prod_equiv_pi_fin_two_symm_apply prodEquivPiFinTwo_symm_apply
@[simps (config := .asFn)]
def finTwoArrowEquiv (α : Type*) : (Fin 2 → α) ≃ α × α :=
{ piFinTwoEquiv fun _ => α with invFun := fun x => ![x.1, x.2] }
#align fin_two_arrow_equiv finTwoArrowEquiv
#align fin_two_arrow_equiv_symm_apply finTwoArrowEquiv_symm_apply
#align fin_two_arrow_equiv_apply finTwoArrowEquiv_apply
def OrderIso.piFinTwoIso (α : Fin 2 → Type u) [∀ i, Preorder (α i)] : (∀ i, α i) ≃o α 0 × α 1 where
toEquiv := piFinTwoEquiv α
map_rel_iff' := Iff.symm Fin.forall_fin_two
#align order_iso.pi_fin_two_iso OrderIso.piFinTwoIso
def OrderIso.finTwoArrowIso (α : Type*) [Preorder α] : (Fin 2 → α) ≃o α × α :=
{ OrderIso.piFinTwoIso fun _ => α with toEquiv := finTwoArrowEquiv α }
#align order_iso.fin_two_arrow_iso OrderIso.finTwoArrowIso
def finSuccEquiv' (i : Fin (n + 1)) : Fin (n + 1) ≃ Option (Fin n) where
toFun := i.insertNth none some
invFun x := x.casesOn' i (Fin.succAbove i)
left_inv x := Fin.succAboveCases i (by simp) (fun j => by simp) x
right_inv x := by cases x <;> dsimp <;> simp
#align fin_succ_equiv' finSuccEquiv'
@[simp]
theorem finSuccEquiv'_at (i : Fin (n + 1)) : (finSuccEquiv' i) i = none := by
simp [finSuccEquiv']
#align fin_succ_equiv'_at finSuccEquiv'_at
@[simp]
theorem finSuccEquiv'_succAbove (i : Fin (n + 1)) (j : Fin n) :
finSuccEquiv' i (i.succAbove j) = some j :=
@Fin.insertNth_apply_succAbove n (fun _ => Option (Fin n)) i _ _ _
#align fin_succ_equiv'_succ_above finSuccEquiv'_succAbove
theorem finSuccEquiv'_below {i : Fin (n + 1)} {m : Fin n} (h : Fin.castSucc m < i) :
(finSuccEquiv' i) (Fin.castSucc m) = m := by
rw [← Fin.succAbove_of_castSucc_lt _ _ h, finSuccEquiv'_succAbove]
#align fin_succ_equiv'_below finSuccEquiv'_below
theorem finSuccEquiv'_above {i : Fin (n + 1)} {m : Fin n} (h : i ≤ Fin.castSucc m) :
(finSuccEquiv' i) m.succ = some m := by
rw [← Fin.succAbove_of_le_castSucc _ _ h, finSuccEquiv'_succAbove]
#align fin_succ_equiv'_above finSuccEquiv'_above
@[simp]
theorem finSuccEquiv'_symm_none (i : Fin (n + 1)) : (finSuccEquiv' i).symm none = i :=
rfl
#align fin_succ_equiv'_symm_none finSuccEquiv'_symm_none
@[simp]
theorem finSuccEquiv'_symm_some (i : Fin (n + 1)) (j : Fin n) :
(finSuccEquiv' i).symm (some j) = i.succAbove j :=
rfl
#align fin_succ_equiv'_symm_some finSuccEquiv'_symm_some
theorem finSuccEquiv'_symm_some_below {i : Fin (n + 1)} {m : Fin n} (h : Fin.castSucc m < i) :
(finSuccEquiv' i).symm (some m) = Fin.castSucc m :=
Fin.succAbove_of_castSucc_lt i m h
#align fin_succ_equiv'_symm_some_below finSuccEquiv'_symm_some_below
theorem finSuccEquiv'_symm_some_above {i : Fin (n + 1)} {m : Fin n} (h : i ≤ Fin.castSucc m) :
(finSuccEquiv' i).symm (some m) = m.succ :=
Fin.succAbove_of_le_castSucc i m h
#align fin_succ_equiv'_symm_some_above finSuccEquiv'_symm_some_above
theorem finSuccEquiv'_symm_coe_below {i : Fin (n + 1)} {m : Fin n} (h : Fin.castSucc m < i) :
(finSuccEquiv' i).symm m = Fin.castSucc m :=
finSuccEquiv'_symm_some_below h
#align fin_succ_equiv'_symm_coe_below finSuccEquiv'_symm_coe_below
theorem finSuccEquiv'_symm_coe_above {i : Fin (n + 1)} {m : Fin n} (h : i ≤ Fin.castSucc m) :
(finSuccEquiv' i).symm m = m.succ :=
finSuccEquiv'_symm_some_above h
#align fin_succ_equiv'_symm_coe_above finSuccEquiv'_symm_coe_above
def finSuccEquiv (n : ℕ) : Fin (n + 1) ≃ Option (Fin n) :=
finSuccEquiv' 0
#align fin_succ_equiv finSuccEquiv
@[simp]
theorem finSuccEquiv_zero : (finSuccEquiv n) 0 = none :=
rfl
#align fin_succ_equiv_zero finSuccEquiv_zero
@[simp]
theorem finSuccEquiv_succ (m : Fin n) : (finSuccEquiv n) m.succ = some m :=
finSuccEquiv'_above (Fin.zero_le _)
#align fin_succ_equiv_succ finSuccEquiv_succ
@[simp]
theorem finSuccEquiv_symm_none : (finSuccEquiv n).symm none = 0 :=
finSuccEquiv'_symm_none _
#align fin_succ_equiv_symm_none finSuccEquiv_symm_none
@[simp]
theorem finSuccEquiv_symm_some (m : Fin n) : (finSuccEquiv n).symm (some m) = m.succ :=
congr_fun Fin.succAbove_zero m
#align fin_succ_equiv_symm_some finSuccEquiv_symm_some
#align fin_succ_equiv_symm_coe finSuccEquiv_symm_some
theorem finSuccEquiv'_zero : finSuccEquiv' (0 : Fin (n + 1)) = finSuccEquiv n :=
rfl
#align fin_succ_equiv'_zero finSuccEquiv'_zero
theorem finSuccEquiv'_last_apply_castSucc (i : Fin n) :
finSuccEquiv' (Fin.last n) (Fin.castSucc i) = i := by
rw [← Fin.succAbove_last, finSuccEquiv'_succAbove]
theorem finSuccEquiv'_last_apply {i : Fin (n + 1)} (h : i ≠ Fin.last n) :
finSuccEquiv' (Fin.last n) i = Fin.castLT i (Fin.val_lt_last h) := by
rcases Fin.exists_castSucc_eq.2 h with ⟨i, rfl⟩
rw [finSuccEquiv'_last_apply_castSucc]
rfl
#align fin_succ_equiv'_last_apply finSuccEquiv'_last_apply
theorem finSuccEquiv'_ne_last_apply {i j : Fin (n + 1)} (hi : i ≠ Fin.last n) (hj : j ≠ i) :
finSuccEquiv' i j = (i.castLT (Fin.val_lt_last hi)).predAbove j := by
rcases Fin.exists_succAbove_eq hj with ⟨j, rfl⟩
rcases Fin.exists_castSucc_eq.2 hi with ⟨i, rfl⟩
simp
#align fin_succ_equiv'_ne_last_apply finSuccEquiv'_ne_last_apply
def finSuccAboveEquiv (p : Fin (n + 1)) : Fin n ≃o { x : Fin (n + 1) // x ≠ p } :=
{ Equiv.optionSubtype p ⟨(finSuccEquiv' p).symm, rfl⟩ with
map_rel_iff' := p.succAboveOrderEmb.map_rel_iff' }
#align fin_succ_above_equiv finSuccAboveEquiv
theorem finSuccAboveEquiv_apply (p : Fin (n + 1)) (i : Fin n) :
finSuccAboveEquiv p i = ⟨p.succAbove i, p.succAbove_ne i⟩ :=
rfl
#align fin_succ_above_equiv_apply finSuccAboveEquiv_apply
theorem finSuccAboveEquiv_symm_apply_last (x : { x : Fin (n + 1) // x ≠ Fin.last n }) :
(finSuccAboveEquiv (Fin.last n)).symm x = Fin.castLT x.1 (Fin.val_lt_last x.2) := by
rw [← Option.some_inj]
simpa [finSuccAboveEquiv, OrderIso.symm] using finSuccEquiv'_last_apply x.property
#align fin_succ_above_equiv_symm_apply_last finSuccAboveEquiv_symm_apply_last
theorem finSuccAboveEquiv_symm_apply_ne_last {p : Fin (n + 1)} (h : p ≠ Fin.last n)
(x : { x : Fin (n + 1) // x ≠ p }) :
(finSuccAboveEquiv p).symm x = (p.castLT (Fin.val_lt_last h)).predAbove x := by
rw [← Option.some_inj]
simpa [finSuccAboveEquiv, OrderIso.symm] using finSuccEquiv'_ne_last_apply h x.property
#align fin_succ_above_equiv_symm_apply_ne_last finSuccAboveEquiv_symm_apply_ne_last
def finSuccEquivLast : Fin (n + 1) ≃ Option (Fin n) :=
finSuccEquiv' (Fin.last n)
#align fin_succ_equiv_last finSuccEquivLast
@[simp]
theorem finSuccEquivLast_castSucc (i : Fin n) : finSuccEquivLast (Fin.castSucc i) = some i :=
finSuccEquiv'_below i.2
#align fin_succ_equiv_last_cast_succ finSuccEquivLast_castSucc
@[simp]
| Mathlib/Logic/Equiv/Fin.lean | 248 | 249 | theorem finSuccEquivLast_last : finSuccEquivLast (Fin.last n) = none := by |
simp [finSuccEquivLast]
|
import Mathlib.RingTheory.WittVector.Truncated
import Mathlib.RingTheory.WittVector.Identities
import Mathlib.NumberTheory.Padics.RingHoms
#align_import ring_theory.witt_vector.compare from "leanprover-community/mathlib"@"168ad7fc5d8173ad38be9767a22d50b8ecf1cd00"
noncomputable section
variable {p : ℕ} [hp : Fact p.Prime]
local notation "𝕎" => WittVector p
namespace TruncatedWittVector
variable (p) (n : ℕ) (R : Type*) [CommRing R]
theorem eq_of_le_of_cast_pow_eq_zero [CharP R p] (i : ℕ) (hin : i ≤ n)
(hpi : (p : TruncatedWittVector p n R) ^ i = 0) : i = n := by
contrapose! hpi
replace hin := lt_of_le_of_ne hin hpi; clear hpi
have : (p : TruncatedWittVector p n R) ^ i = WittVector.truncate n ((p : 𝕎 R) ^ i) := by
rw [RingHom.map_pow, map_natCast]
rw [this, ne_eq, ext_iff, not_forall]; clear this
use ⟨i, hin⟩
rw [WittVector.coeff_truncate, coeff_zero, Fin.val_mk, WittVector.coeff_p_pow]
haveI : Nontrivial R := CharP.nontrivial_of_char_ne_one hp.1.ne_one
exact one_ne_zero
#align truncated_witt_vector.eq_of_le_of_cast_pow_eq_zero TruncatedWittVector.eq_of_le_of_cast_pow_eq_zero
section Iso
variable {R}
theorem card_zmod : Fintype.card (TruncatedWittVector p n (ZMod p)) = p ^ n := by
rw [card, ZMod.card]
#align truncated_witt_vector.card_zmod TruncatedWittVector.card_zmod
theorem charP_zmod : CharP (TruncatedWittVector p n (ZMod p)) (p ^ n) :=
charP_of_prime_pow_injective _ _ _ (card_zmod _ _) (eq_of_le_of_cast_pow_eq_zero p n (ZMod p))
#align truncated_witt_vector.char_p_zmod TruncatedWittVector.charP_zmod
attribute [local instance] charP_zmod
def zmodEquivTrunc : ZMod (p ^ n) ≃+* TruncatedWittVector p n (ZMod p) :=
ZMod.ringEquiv (TruncatedWittVector p n (ZMod p)) (card_zmod _ _)
#align truncated_witt_vector.zmod_equiv_trunc TruncatedWittVector.zmodEquivTrunc
theorem zmodEquivTrunc_apply {x : ZMod (p ^ n)} :
zmodEquivTrunc p n x = ZMod.castHom (by rfl) (TruncatedWittVector p n (ZMod p)) x :=
rfl
#align truncated_witt_vector.zmod_equiv_trunc_apply TruncatedWittVector.zmodEquivTrunc_apply
theorem commutes {m : ℕ} (hm : n ≤ m) :
(truncate hm).comp (zmodEquivTrunc p m).toRingHom =
(zmodEquivTrunc p n).toRingHom.comp (ZMod.castHom (pow_dvd_pow p hm) _) :=
RingHom.ext_zmod _ _
#align truncated_witt_vector.commutes TruncatedWittVector.commutes
theorem commutes' {m : ℕ} (hm : n ≤ m) (x : ZMod (p ^ m)) :
truncate hm (zmodEquivTrunc p m x) = zmodEquivTrunc p n (ZMod.castHom (pow_dvd_pow p hm) _ x) :=
show (truncate hm).comp (zmodEquivTrunc p m).toRingHom x = _ by rw [commutes _ _ hm]; rfl
#align truncated_witt_vector.commutes' TruncatedWittVector.commutes'
theorem commutes_symm' {m : ℕ} (hm : n ≤ m) (x : TruncatedWittVector p m (ZMod p)) :
(zmodEquivTrunc p n).symm (truncate hm x) =
ZMod.castHom (pow_dvd_pow p hm) _ ((zmodEquivTrunc p m).symm x) := by
apply (zmodEquivTrunc p n).injective
rw [← commutes' _ _ hm]
simp
#align truncated_witt_vector.commutes_symm' TruncatedWittVector.commutes_symm'
| Mathlib/RingTheory/WittVector/Compare.lean | 127 | 130 | theorem commutes_symm {m : ℕ} (hm : n ≤ m) :
(zmodEquivTrunc p n).symm.toRingHom.comp (truncate hm) =
(ZMod.castHom (pow_dvd_pow p hm) _).comp (zmodEquivTrunc p m).symm.toRingHom := by |
ext; apply commutes_symm'
|
import Mathlib.Order.PropInstances
#align_import order.heyting.basic from "leanprover-community/mathlib"@"9ac7c0c8c4d7a535ec3e5b34b8859aab9233b2f4"
open Function OrderDual
universe u
variable {ι α β : Type*}
section
variable (α β)
instance Prod.instHImp [HImp α] [HImp β] : HImp (α × β) :=
⟨fun a b => (a.1 ⇨ b.1, a.2 ⇨ b.2)⟩
instance Prod.instHNot [HNot α] [HNot β] : HNot (α × β) :=
⟨fun a => (￢a.1, ￢a.2)⟩
instance Prod.instSDiff [SDiff α] [SDiff β] : SDiff (α × β) :=
⟨fun a b => (a.1 \ b.1, a.2 \ b.2)⟩
instance Prod.instHasCompl [HasCompl α] [HasCompl β] : HasCompl (α × β) :=
⟨fun a => (a.1ᶜ, a.2ᶜ)⟩
end
@[simp]
theorem fst_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).1 = a.1 ⇨ b.1 :=
rfl
#align fst_himp fst_himp
@[simp]
theorem snd_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).2 = a.2 ⇨ b.2 :=
rfl
#align snd_himp snd_himp
@[simp]
theorem fst_hnot [HNot α] [HNot β] (a : α × β) : (￢a).1 = ￢a.1 :=
rfl
#align fst_hnot fst_hnot
@[simp]
theorem snd_hnot [HNot α] [HNot β] (a : α × β) : (￢a).2 = ￢a.2 :=
rfl
#align snd_hnot snd_hnot
@[simp]
theorem fst_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).1 = a.1 \ b.1 :=
rfl
#align fst_sdiff fst_sdiff
@[simp]
theorem snd_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).2 = a.2 \ b.2 :=
rfl
#align snd_sdiff snd_sdiff
@[simp]
theorem fst_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.1 = a.1ᶜ :=
rfl
#align fst_compl fst_compl
@[simp]
theorem snd_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.2 = a.2ᶜ :=
rfl
#align snd_compl snd_compl
class GeneralizedHeytingAlgebra (α : Type*) extends Lattice α, OrderTop α, HImp α where
le_himp_iff (a b c : α) : a ≤ b ⇨ c ↔ a ⊓ b ≤ c
#align generalized_heyting_algebra GeneralizedHeytingAlgebra
#align generalized_heyting_algebra.to_order_top GeneralizedHeytingAlgebra.toOrderTop
class GeneralizedCoheytingAlgebra (α : Type*) extends Lattice α, OrderBot α, SDiff α where
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
#align generalized_coheyting_algebra GeneralizedCoheytingAlgebra
#align generalized_coheyting_algebra.to_order_bot GeneralizedCoheytingAlgebra.toOrderBot
class HeytingAlgebra (α : Type*) extends GeneralizedHeytingAlgebra α, OrderBot α, HasCompl α where
himp_bot (a : α) : a ⇨ ⊥ = aᶜ
#align heyting_algebra HeytingAlgebra
class CoheytingAlgebra (α : Type*) extends GeneralizedCoheytingAlgebra α, OrderTop α, HNot α where
top_sdiff (a : α) : ⊤ \ a = ￢a
#align coheyting_algebra CoheytingAlgebra
class BiheytingAlgebra (α : Type*) extends HeytingAlgebra α, SDiff α, HNot α where
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
top_sdiff (a : α) : ⊤ \ a = ￢a
#align biheyting_algebra BiheytingAlgebra
-- See note [lower instance priority]
attribute [instance 100] GeneralizedHeytingAlgebra.toOrderTop
attribute [instance 100] GeneralizedCoheytingAlgebra.toOrderBot
-- See note [lower instance priority]
instance (priority := 100) HeytingAlgebra.toBoundedOrder [HeytingAlgebra α] : BoundedOrder α :=
{ bot_le := ‹HeytingAlgebra α›.bot_le }
--#align heyting_algebra.to_bounded_order HeytingAlgebra.toBoundedOrder
-- See note [lower instance priority]
instance (priority := 100) CoheytingAlgebra.toBoundedOrder [CoheytingAlgebra α] : BoundedOrder α :=
{ ‹CoheytingAlgebra α› with }
#align coheyting_algebra.to_bounded_order CoheytingAlgebra.toBoundedOrder
-- See note [lower instance priority]
instance (priority := 100) BiheytingAlgebra.toCoheytingAlgebra [BiheytingAlgebra α] :
CoheytingAlgebra α :=
{ ‹BiheytingAlgebra α› with }
#align biheyting_algebra.to_coheyting_algebra BiheytingAlgebra.toCoheytingAlgebra
-- See note [reducible non-instances]
abbrev HeytingAlgebra.ofHImp [DistribLattice α] [BoundedOrder α] (himp : α → α → α)
(le_himp_iff : ∀ a b c, a ≤ himp b c ↔ a ⊓ b ≤ c) : HeytingAlgebra α :=
{ ‹DistribLattice α›, ‹BoundedOrder α› with
himp,
compl := fun a => himp a ⊥,
le_himp_iff,
himp_bot := fun a => rfl }
#align heyting_algebra.of_himp HeytingAlgebra.ofHImp
-- See note [reducible non-instances]
abbrev HeytingAlgebra.ofCompl [DistribLattice α] [BoundedOrder α] (compl : α → α)
(le_himp_iff : ∀ a b c, a ≤ compl b ⊔ c ↔ a ⊓ b ≤ c) : HeytingAlgebra α where
himp := (compl · ⊔ ·)
compl := compl
le_himp_iff := le_himp_iff
himp_bot _ := sup_bot_eq _
#align heyting_algebra.of_compl HeytingAlgebra.ofCompl
-- See note [reducible non-instances]
abbrev CoheytingAlgebra.ofSDiff [DistribLattice α] [BoundedOrder α] (sdiff : α → α → α)
(sdiff_le_iff : ∀ a b c, sdiff a b ≤ c ↔ a ≤ b ⊔ c) : CoheytingAlgebra α :=
{ ‹DistribLattice α›, ‹BoundedOrder α› with
sdiff,
hnot := fun a => sdiff ⊤ a,
sdiff_le_iff,
top_sdiff := fun a => rfl }
#align coheyting_algebra.of_sdiff CoheytingAlgebra.ofSDiff
-- See note [reducible non-instances]
abbrev CoheytingAlgebra.ofHNot [DistribLattice α] [BoundedOrder α] (hnot : α → α)
(sdiff_le_iff : ∀ a b c, a ⊓ hnot b ≤ c ↔ a ≤ b ⊔ c) : CoheytingAlgebra α where
sdiff a b := a ⊓ hnot b
hnot := hnot
sdiff_le_iff := sdiff_le_iff
top_sdiff _ := top_inf_eq _
#align coheyting_algebra.of_hnot CoheytingAlgebra.ofHNot
section GeneralizedCoheytingAlgebra
variable [GeneralizedCoheytingAlgebra α] {a b c d : α}
@[simp]
theorem sdiff_le_iff : a \ b ≤ c ↔ a ≤ b ⊔ c :=
GeneralizedCoheytingAlgebra.sdiff_le_iff _ _ _
#align sdiff_le_iff sdiff_le_iff
theorem sdiff_le_iff' : a \ b ≤ c ↔ a ≤ c ⊔ b := by rw [sdiff_le_iff, sup_comm]
#align sdiff_le_iff' sdiff_le_iff'
theorem sdiff_le_comm : a \ b ≤ c ↔ a \ c ≤ b := by rw [sdiff_le_iff, sdiff_le_iff']
#align sdiff_le_comm sdiff_le_comm
theorem sdiff_le : a \ b ≤ a :=
sdiff_le_iff.2 le_sup_right
#align sdiff_le sdiff_le
theorem Disjoint.disjoint_sdiff_left (h : Disjoint a b) : Disjoint (a \ c) b :=
h.mono_left sdiff_le
#align disjoint.disjoint_sdiff_left Disjoint.disjoint_sdiff_left
theorem Disjoint.disjoint_sdiff_right (h : Disjoint a b) : Disjoint a (b \ c) :=
h.mono_right sdiff_le
#align disjoint.disjoint_sdiff_right Disjoint.disjoint_sdiff_right
theorem sdiff_le_iff_left : a \ b ≤ b ↔ a ≤ b := by rw [sdiff_le_iff, sup_idem]
#align sdiff_le_iff_left sdiff_le_iff_left
@[simp]
theorem sdiff_self : a \ a = ⊥ :=
le_bot_iff.1 <| sdiff_le_iff.2 le_sup_left
#align sdiff_self sdiff_self
theorem le_sup_sdiff : a ≤ b ⊔ a \ b :=
sdiff_le_iff.1 le_rfl
#align le_sup_sdiff le_sup_sdiff
theorem le_sdiff_sup : a ≤ a \ b ⊔ b := by rw [sup_comm, ← sdiff_le_iff]
#align le_sdiff_sup le_sdiff_sup
theorem sup_sdiff_left : a ⊔ a \ b = a :=
sup_of_le_left sdiff_le
#align sup_sdiff_left sup_sdiff_left
theorem sup_sdiff_right : a \ b ⊔ a = a :=
sup_of_le_right sdiff_le
#align sup_sdiff_right sup_sdiff_right
theorem inf_sdiff_left : a \ b ⊓ a = a \ b :=
inf_of_le_left sdiff_le
#align inf_sdiff_left inf_sdiff_left
theorem inf_sdiff_right : a ⊓ a \ b = a \ b :=
inf_of_le_right sdiff_le
#align inf_sdiff_right inf_sdiff_right
@[simp]
theorem sup_sdiff_self (a b : α) : a ⊔ b \ a = a ⊔ b :=
le_antisymm (sup_le_sup_left sdiff_le _) (sup_le le_sup_left le_sup_sdiff)
#align sup_sdiff_self sup_sdiff_self
@[simp]
theorem sdiff_sup_self (a b : α) : b \ a ⊔ a = b ⊔ a := by rw [sup_comm, sup_sdiff_self, sup_comm]
#align sdiff_sup_self sdiff_sup_self
alias sup_sdiff_self_left := sdiff_sup_self
#align sup_sdiff_self_left sup_sdiff_self_left
alias sup_sdiff_self_right := sup_sdiff_self
#align sup_sdiff_self_right sup_sdiff_self_right
theorem sup_sdiff_eq_sup (h : c ≤ a) : a ⊔ b \ c = a ⊔ b :=
sup_congr_left (sdiff_le.trans le_sup_right) <| le_sup_sdiff.trans <| sup_le_sup_right h _
#align sup_sdiff_eq_sup sup_sdiff_eq_sup
-- cf. `Set.union_diff_cancel'`
theorem sup_sdiff_cancel' (hab : a ≤ b) (hbc : b ≤ c) : b ⊔ c \ a = c := by
rw [sup_sdiff_eq_sup hab, sup_of_le_right hbc]
#align sup_sdiff_cancel' sup_sdiff_cancel'
theorem sup_sdiff_cancel_right (h : a ≤ b) : a ⊔ b \ a = b :=
sup_sdiff_cancel' le_rfl h
#align sup_sdiff_cancel_right sup_sdiff_cancel_right
theorem sdiff_sup_cancel (h : b ≤ a) : a \ b ⊔ b = a := by rw [sup_comm, sup_sdiff_cancel_right h]
#align sdiff_sup_cancel sdiff_sup_cancel
theorem sup_le_of_le_sdiff_left (h : b ≤ c \ a) (hac : a ≤ c) : a ⊔ b ≤ c :=
sup_le hac <| h.trans sdiff_le
#align sup_le_of_le_sdiff_left sup_le_of_le_sdiff_left
theorem sup_le_of_le_sdiff_right (h : a ≤ c \ b) (hbc : b ≤ c) : a ⊔ b ≤ c :=
sup_le (h.trans sdiff_le) hbc
#align sup_le_of_le_sdiff_right sup_le_of_le_sdiff_right
@[simp]
theorem sdiff_eq_bot_iff : a \ b = ⊥ ↔ a ≤ b := by rw [← le_bot_iff, sdiff_le_iff, sup_bot_eq]
#align sdiff_eq_bot_iff sdiff_eq_bot_iff
@[simp]
theorem sdiff_bot : a \ ⊥ = a :=
eq_of_forall_ge_iff fun b => by rw [sdiff_le_iff, bot_sup_eq]
#align sdiff_bot sdiff_bot
@[simp]
theorem bot_sdiff : ⊥ \ a = ⊥ :=
sdiff_eq_bot_iff.2 bot_le
#align bot_sdiff bot_sdiff
theorem sdiff_sdiff_sdiff_le_sdiff : (a \ b) \ (a \ c) ≤ c \ b := by
rw [sdiff_le_iff, sdiff_le_iff, sup_left_comm, sup_sdiff_self, sup_left_comm, sdiff_sup_self,
sup_left_comm]
exact le_sup_left
#align sdiff_sdiff_sdiff_le_sdiff sdiff_sdiff_sdiff_le_sdiff
@[simp]
theorem le_sup_sdiff_sup_sdiff : a ≤ b ⊔ (a \ c ⊔ c \ b) := by
simpa using @sdiff_sdiff_sdiff_le_sdiff
theorem sdiff_sdiff (a b c : α) : (a \ b) \ c = a \ (b ⊔ c) :=
eq_of_forall_ge_iff fun d => by simp_rw [sdiff_le_iff, sup_assoc]
#align sdiff_sdiff sdiff_sdiff
theorem sdiff_sdiff_left : (a \ b) \ c = a \ (b ⊔ c) :=
sdiff_sdiff _ _ _
#align sdiff_sdiff_left sdiff_sdiff_left
theorem sdiff_right_comm (a b c : α) : (a \ b) \ c = (a \ c) \ b := by
simp_rw [sdiff_sdiff, sup_comm]
#align sdiff_right_comm sdiff_right_comm
theorem sdiff_sdiff_comm : (a \ b) \ c = (a \ c) \ b :=
sdiff_right_comm _ _ _
#align sdiff_sdiff_comm sdiff_sdiff_comm
@[simp]
theorem sdiff_idem : (a \ b) \ b = a \ b := by rw [sdiff_sdiff_left, sup_idem]
#align sdiff_idem sdiff_idem
@[simp]
theorem sdiff_sdiff_self : (a \ b) \ a = ⊥ := by rw [sdiff_sdiff_comm, sdiff_self, bot_sdiff]
#align sdiff_sdiff_self sdiff_sdiff_self
theorem sup_sdiff_distrib (a b c : α) : (a ⊔ b) \ c = a \ c ⊔ b \ c :=
eq_of_forall_ge_iff fun d => by simp_rw [sdiff_le_iff, sup_le_iff, sdiff_le_iff]
#align sup_sdiff_distrib sup_sdiff_distrib
theorem sdiff_inf_distrib (a b c : α) : a \ (b ⊓ c) = a \ b ⊔ a \ c :=
eq_of_forall_ge_iff fun d => by
rw [sup_le_iff, sdiff_le_comm, le_inf_iff]
simp_rw [sdiff_le_comm]
#align sdiff_inf_distrib sdiff_inf_distrib
theorem sup_sdiff : (a ⊔ b) \ c = a \ c ⊔ b \ c :=
sup_sdiff_distrib _ _ _
#align sup_sdiff sup_sdiff
@[simp]
theorem sup_sdiff_right_self : (a ⊔ b) \ b = a \ b := by rw [sup_sdiff, sdiff_self, sup_bot_eq]
#align sup_sdiff_right_self sup_sdiff_right_self
@[simp]
theorem sup_sdiff_left_self : (a ⊔ b) \ a = b \ a := by rw [sup_comm, sup_sdiff_right_self]
#align sup_sdiff_left_self sup_sdiff_left_self
@[gcongr]
theorem sdiff_le_sdiff_right (h : a ≤ b) : a \ c ≤ b \ c :=
sdiff_le_iff.2 <| h.trans <| le_sup_sdiff
#align sdiff_le_sdiff_right sdiff_le_sdiff_right
@[gcongr]
theorem sdiff_le_sdiff_left (h : a ≤ b) : c \ b ≤ c \ a :=
sdiff_le_iff.2 <| le_sup_sdiff.trans <| sup_le_sup_right h _
#align sdiff_le_sdiff_left sdiff_le_sdiff_left
@[gcongr]
theorem sdiff_le_sdiff (hab : a ≤ b) (hcd : c ≤ d) : a \ d ≤ b \ c :=
(sdiff_le_sdiff_right hab).trans <| sdiff_le_sdiff_left hcd
#align sdiff_le_sdiff sdiff_le_sdiff
-- cf. `IsCompl.inf_sup`
theorem sdiff_inf : a \ (b ⊓ c) = a \ b ⊔ a \ c :=
sdiff_inf_distrib _ _ _
#align sdiff_inf sdiff_inf
@[simp]
theorem sdiff_inf_self_left (a b : α) : a \ (a ⊓ b) = a \ b := by
rw [sdiff_inf, sdiff_self, bot_sup_eq]
#align sdiff_inf_self_left sdiff_inf_self_left
@[simp]
theorem sdiff_inf_self_right (a b : α) : b \ (a ⊓ b) = b \ a := by
rw [sdiff_inf, sdiff_self, sup_bot_eq]
#align sdiff_inf_self_right sdiff_inf_self_right
theorem Disjoint.sdiff_eq_left (h : Disjoint a b) : a \ b = a := by
conv_rhs => rw [← @sdiff_bot _ _ a]
rw [← h.eq_bot, sdiff_inf_self_left]
#align disjoint.sdiff_eq_left Disjoint.sdiff_eq_left
theorem Disjoint.sdiff_eq_right (h : Disjoint a b) : b \ a = b :=
h.symm.sdiff_eq_left
#align disjoint.sdiff_eq_right Disjoint.sdiff_eq_right
theorem Disjoint.sup_sdiff_cancel_left (h : Disjoint a b) : (a ⊔ b) \ a = b := by
rw [sup_sdiff, sdiff_self, bot_sup_eq, h.sdiff_eq_right]
#align disjoint.sup_sdiff_cancel_left Disjoint.sup_sdiff_cancel_left
theorem Disjoint.sup_sdiff_cancel_right (h : Disjoint a b) : (a ⊔ b) \ b = a := by
rw [sup_sdiff, sdiff_self, sup_bot_eq, h.sdiff_eq_left]
#align disjoint.sup_sdiff_cancel_right Disjoint.sup_sdiff_cancel_right
theorem Disjoint.le_sdiff_of_le_left (hac : Disjoint a c) (hab : a ≤ b) : a ≤ b \ c :=
hac.sdiff_eq_left.ge.trans <| sdiff_le_sdiff_right hab
#align disjoint.le_sdiff_of_le_left Disjoint.le_sdiff_of_le_left
theorem sdiff_sdiff_le : a \ (a \ b) ≤ b :=
sdiff_le_iff.2 le_sdiff_sup
#align sdiff_sdiff_le sdiff_sdiff_le
@[simp] lemma sdiff_eq_sdiff_iff : a \ b = b \ a ↔ a = b := by simp [le_antisymm_iff]
lemma sdiff_ne_sdiff_iff : a \ b ≠ b \ a ↔ a ≠ b := sdiff_eq_sdiff_iff.not
theorem sdiff_triangle (a b c : α) : a \ c ≤ a \ b ⊔ b \ c := by
rw [sdiff_le_iff, sup_left_comm, ← sdiff_le_iff]
exact sdiff_sdiff_le.trans le_sup_sdiff
#align sdiff_triangle sdiff_triangle
theorem sdiff_sup_sdiff_cancel (hba : b ≤ a) (hcb : c ≤ b) : a \ b ⊔ b \ c = a \ c :=
(sdiff_triangle _ _ _).antisymm' <| sup_le (sdiff_le_sdiff_left hcb) (sdiff_le_sdiff_right hba)
#align sdiff_sup_sdiff_cancel sdiff_sup_sdiff_cancel
| Mathlib/Order/Heyting/Basic.lean | 670 | 672 | theorem sdiff_le_sdiff_of_sup_le_sup_left (h : c ⊔ a ≤ c ⊔ b) : a \ c ≤ b \ c := by |
rw [← sup_sdiff_left_self, ← @sup_sdiff_left_self _ _ _ b]
exact sdiff_le_sdiff_right h
|
import Batteries.Data.List.Basic
namespace Batteries
inductive AssocList (α : Type u) (β : Type v) where
| nil
| cons (key : α) (value : β) (tail : AssocList α β)
deriving Inhabited
namespace AssocList
@[simp] def toList : AssocList α β → List (α × β)
| nil => []
| cons a b es => (a, b) :: es.toList
instance : EmptyCollection (AssocList α β) := ⟨nil⟩
@[simp] theorem empty_eq : (∅ : AssocList α β) = nil := rfl
def isEmpty : AssocList α β → Bool
| nil => true
| _ => false
@[simp] theorem isEmpty_eq (l : AssocList α β) : isEmpty l = l.toList.isEmpty := by
cases l <;> simp [*, isEmpty, List.isEmpty]
def length (L : AssocList α β) : Nat :=
match L with
| .nil => 0
| .cons _ _ t => t.length + 1
@[simp] theorem length_nil : length (nil : AssocList α β) = 0 := rfl
@[simp] theorem length_cons : length (cons a b t) = length t + 1 := rfl
theorem length_toList (l : AssocList α β) : l.toList.length = l.length := by
induction l <;> simp_all
@[specialize] def foldlM [Monad m] (f : δ → α → β → m δ) : (init : δ) → AssocList α β → m δ
| d, nil => pure d
| d, cons a b es => do foldlM f (← f d a b) es
@[simp] theorem foldlM_eq [Monad m] (f : δ → α → β → m δ) (init l) :
foldlM f init l = l.toList.foldlM (fun d (a, b) => f d a b) init := by
induction l generalizing init <;> simp [*, foldlM]
@[inline] def foldl (f : δ → α → β → δ) (init : δ) (as : AssocList α β) : δ :=
Id.run (foldlM f init as)
@[simp] theorem foldl_eq (f : δ → α → β → δ) (init l) :
foldl f init l = l.toList.foldl (fun d (a, b) => f d a b) init := by
simp [List.foldl_eq_foldlM, foldl, Id.run]
def toListTR (as : AssocList α β) : List (α × β) :=
as.foldl (init := #[]) (fun r a b => r.push (a, b)) |>.toList
@[csimp] theorem toList_eq_toListTR : @toList = @toListTR := by
funext α β as; simp [toListTR]
exact .symm <| (Array.foldl_data_eq_map (toList as) _ id).trans (List.map_id _)
@[specialize] def forM [Monad m] (f : α → β → m PUnit) : AssocList α β → m PUnit
| nil => pure ⟨⟩
| cons a b es => do f a b; forM f es
@[simp] theorem forM_eq [Monad m] (f : α → β → m PUnit) (l) :
forM f l = l.toList.forM (fun (a, b) => f a b) := by
induction l <;> simp [*, forM]
@[simp] def mapKey (f : α → δ) : AssocList α β → AssocList δ β
| nil => nil
| cons k v t => cons (f k) v (mapKey f t)
@[simp] theorem toList_mapKey (f : α → δ) (l : AssocList α β) :
(mapKey f l).toList = l.toList.map (fun (a, b) => (f a, b)) := by
induction l <;> simp [*]
@[simp] theorem length_mapKey : (mapKey f l).length = l.length := by
induction l <;> simp_all
@[simp] def mapVal (f : α → β → δ) : AssocList α β → AssocList α δ
| nil => nil
| cons k v t => cons k (f k v) (mapVal f t)
@[simp] theorem toList_mapVal (f : α → β → δ) (l : AssocList α β) :
(mapVal f l).toList = l.toList.map (fun (a, b) => (a, f a b)) := by
induction l <;> simp [*]
@[simp] theorem length_mapVal : (mapVal f l).length = l.length := by
induction l <;> simp_all
@[specialize] def findEntryP? (p : α → β → Bool) : AssocList α β → Option (α × β)
| nil => none
| cons k v es => bif p k v then some (k, v) else findEntryP? p es
@[simp] theorem findEntryP?_eq (p : α → β → Bool) (l : AssocList α β) :
findEntryP? p l = l.toList.find? fun (a, b) => p a b := by
induction l <;> simp [findEntryP?, List.find?_cons]; split <;> simp [*]
@[inline] def findEntry? [BEq α] (a : α) (l : AssocList α β) : Option (α × β) :=
findEntryP? (fun k _ => k == a) l
@[simp] theorem findEntry?_eq [BEq α] (a : α) (l : AssocList α β) :
findEntry? a l = l.toList.find? (·.1 == a) := findEntryP?_eq ..
def find? [BEq α] (a : α) : AssocList α β → Option β
| nil => none
| cons k v es => match k == a with
| true => some v
| false => find? a es
| .lake/packages/batteries/Batteries/Data/AssocList.lean | 139 | 141 | theorem find?_eq_findEntry? [BEq α] (a : α) (l : AssocList α β) :
find? a l = (l.findEntry? a).map (·.2) := by |
induction l <;> simp [find?, List.find?_cons]; split <;> simp [*]
|
import Mathlib.Tactic.CategoryTheory.Coherence
import Mathlib.CategoryTheory.Monoidal.Free.Coherence
#align_import category_theory.monoidal.coherence_lemmas from "leanprover-community/mathlib"@"b8b8bf3ea0c625fa1f950034a184e07c67f7bcfe"
open CategoryTheory Category Iso
namespace CategoryTheory.MonoidalCategory
variable {C : Type*} [Category C] [MonoidalCategory C]
-- See Proposition 2.2.4 of <http://www-math.mit.edu/~etingof/egnobookfinal.pdf>
@[reassoc]
theorem leftUnitor_tensor'' (X Y : C) :
(α_ (𝟙_ C) X Y).hom ≫ (λ_ (X ⊗ Y)).hom = (λ_ X).hom ⊗ 𝟙 Y := by
coherence
#align category_theory.monoidal_category.left_unitor_tensor' CategoryTheory.MonoidalCategory.leftUnitor_tensor''
@[reassoc]
theorem leftUnitor_tensor' (X Y : C) :
(λ_ (X ⊗ Y)).hom = (α_ (𝟙_ C) X Y).inv ≫ ((λ_ X).hom ⊗ 𝟙 Y) := by
coherence
#align category_theory.monoidal_category.left_unitor_tensor CategoryTheory.MonoidalCategory.leftUnitor_tensor'
@[reassoc]
theorem leftUnitor_tensor_inv' (X Y : C) :
(λ_ (X ⊗ Y)).inv = ((λ_ X).inv ⊗ 𝟙 Y) ≫ (α_ (𝟙_ C) X Y).hom := by coherence
#align category_theory.monoidal_category.left_unitor_tensor_inv CategoryTheory.MonoidalCategory.leftUnitor_tensor_inv'
@[reassoc]
theorem id_tensor_rightUnitor_inv (X Y : C) : 𝟙 X ⊗ (ρ_ Y).inv = (ρ_ _).inv ≫ (α_ _ _ _).hom := by
coherence
#align category_theory.monoidal_category.id_tensor_right_unitor_inv CategoryTheory.MonoidalCategory.id_tensor_rightUnitor_inv
@[reassoc]
| Mathlib/CategoryTheory/Monoidal/CoherenceLemmas.lean | 52 | 53 | theorem leftUnitor_inv_tensor_id (X Y : C) : (λ_ X).inv ⊗ 𝟙 Y = (λ_ _).inv ≫ (α_ _ _ _).inv := by |
coherence
|
import Mathlib.Algebra.Module.Equiv
import Mathlib.Data.DFinsupp.Basic
import Mathlib.Data.Finsupp.Basic
#align_import data.finsupp.to_dfinsupp from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf"
variable {ι : Type*} {R : Type*} {M : Type*}
section Defs
def Finsupp.toDFinsupp [Zero M] (f : ι →₀ M) : Π₀ _ : ι, M where
toFun := f
support' :=
Trunc.mk
⟨f.support.1, fun i => (Classical.em (f i = 0)).symm.imp_left Finsupp.mem_support_iff.mpr⟩
#align finsupp.to_dfinsupp Finsupp.toDFinsupp
@[simp]
theorem Finsupp.toDFinsupp_coe [Zero M] (f : ι →₀ M) : ⇑f.toDFinsupp = f :=
rfl
#align finsupp.to_dfinsupp_coe Finsupp.toDFinsupp_coe
section
variable [DecidableEq ι] [Zero M]
@[simp]
theorem Finsupp.toDFinsupp_single (i : ι) (m : M) :
(Finsupp.single i m).toDFinsupp = DFinsupp.single i m := by
ext
simp [Finsupp.single_apply, DFinsupp.single_apply]
#align finsupp.to_dfinsupp_single Finsupp.toDFinsupp_single
variable [∀ m : M, Decidable (m ≠ 0)]
@[simp]
theorem toDFinsupp_support (f : ι →₀ M) : f.toDFinsupp.support = f.support := by
ext
simp
#align to_dfinsupp_support toDFinsupp_support
def DFinsupp.toFinsupp (f : Π₀ _ : ι, M) : ι →₀ M :=
⟨f.support, f, fun i => by simp only [DFinsupp.mem_support_iff]⟩
#align dfinsupp.to_finsupp DFinsupp.toFinsupp
@[simp]
theorem DFinsupp.toFinsupp_coe (f : Π₀ _ : ι, M) : ⇑f.toFinsupp = f :=
rfl
#align dfinsupp.to_finsupp_coe DFinsupp.toFinsupp_coe
@[simp]
theorem DFinsupp.toFinsupp_support (f : Π₀ _ : ι, M) : f.toFinsupp.support = f.support := by
ext
simp
#align dfinsupp.to_finsupp_support DFinsupp.toFinsupp_support
@[simp]
| Mathlib/Data/Finsupp/ToDFinsupp.lean | 123 | 126 | theorem DFinsupp.toFinsupp_single (i : ι) (m : M) :
(DFinsupp.single i m : Π₀ _ : ι, M).toFinsupp = Finsupp.single i m := by |
ext
simp [Finsupp.single_apply, DFinsupp.single_apply]
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic
import Mathlib.Topology.Order.ProjIcc
#align_import analysis.special_functions.trigonometric.inverse from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open scoped Classical
open Topology Filter
open Set Filter
open Real
namespace Real
variable {x y : ℝ}
-- @[pp_nodot] Porting note: not implemented
noncomputable def arcsin : ℝ → ℝ :=
Subtype.val ∘ IccExtend (neg_le_self zero_le_one) sinOrderIso.symm
#align real.arcsin Real.arcsin
theorem arcsin_mem_Icc (x : ℝ) : arcsin x ∈ Icc (-(π / 2)) (π / 2) :=
Subtype.coe_prop _
#align real.arcsin_mem_Icc Real.arcsin_mem_Icc
@[simp]
theorem range_arcsin : range arcsin = Icc (-(π / 2)) (π / 2) := by
rw [arcsin, range_comp Subtype.val]
simp [Icc]
#align real.range_arcsin Real.range_arcsin
theorem arcsin_le_pi_div_two (x : ℝ) : arcsin x ≤ π / 2 :=
(arcsin_mem_Icc x).2
#align real.arcsin_le_pi_div_two Real.arcsin_le_pi_div_two
theorem neg_pi_div_two_le_arcsin (x : ℝ) : -(π / 2) ≤ arcsin x :=
(arcsin_mem_Icc x).1
#align real.neg_pi_div_two_le_arcsin Real.neg_pi_div_two_le_arcsin
theorem arcsin_projIcc (x : ℝ) :
arcsin (projIcc (-1) 1 (neg_le_self zero_le_one) x) = arcsin x := by
rw [arcsin, Function.comp_apply, IccExtend_val, Function.comp_apply, IccExtend,
Function.comp_apply]
#align real.arcsin_proj_Icc Real.arcsin_projIcc
theorem sin_arcsin' {x : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) : sin (arcsin x) = x := by
simpa [arcsin, IccExtend_of_mem _ _ hx, -OrderIso.apply_symm_apply] using
Subtype.ext_iff.1 (sinOrderIso.apply_symm_apply ⟨x, hx⟩)
#align real.sin_arcsin' Real.sin_arcsin'
theorem sin_arcsin {x : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) : sin (arcsin x) = x :=
sin_arcsin' ⟨hx₁, hx₂⟩
#align real.sin_arcsin Real.sin_arcsin
theorem arcsin_sin' {x : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) : arcsin (sin x) = x :=
injOn_sin (arcsin_mem_Icc _) hx <| by rw [sin_arcsin (neg_one_le_sin _) (sin_le_one _)]
#align real.arcsin_sin' Real.arcsin_sin'
theorem arcsin_sin {x : ℝ} (hx₁ : -(π / 2) ≤ x) (hx₂ : x ≤ π / 2) : arcsin (sin x) = x :=
arcsin_sin' ⟨hx₁, hx₂⟩
#align real.arcsin_sin Real.arcsin_sin
theorem strictMonoOn_arcsin : StrictMonoOn arcsin (Icc (-1) 1) :=
(Subtype.strictMono_coe _).comp_strictMonoOn <|
sinOrderIso.symm.strictMono.strictMonoOn_IccExtend _
#align real.strict_mono_on_arcsin Real.strictMonoOn_arcsin
theorem monotone_arcsin : Monotone arcsin :=
(Subtype.mono_coe _).comp <| sinOrderIso.symm.monotone.IccExtend _
#align real.monotone_arcsin Real.monotone_arcsin
theorem injOn_arcsin : InjOn arcsin (Icc (-1) 1) :=
strictMonoOn_arcsin.injOn
#align real.inj_on_arcsin Real.injOn_arcsin
theorem arcsin_inj {x y : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) (hy₁ : -1 ≤ y) (hy₂ : y ≤ 1) :
arcsin x = arcsin y ↔ x = y :=
injOn_arcsin.eq_iff ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩
#align real.arcsin_inj Real.arcsin_inj
@[continuity]
theorem continuous_arcsin : Continuous arcsin :=
continuous_subtype_val.comp sinOrderIso.symm.continuous.Icc_extend'
#align real.continuous_arcsin Real.continuous_arcsin
theorem continuousAt_arcsin {x : ℝ} : ContinuousAt arcsin x :=
continuous_arcsin.continuousAt
#align real.continuous_at_arcsin Real.continuousAt_arcsin
theorem arcsin_eq_of_sin_eq {x y : ℝ} (h₁ : sin x = y) (h₂ : x ∈ Icc (-(π / 2)) (π / 2)) :
arcsin y = x := by
subst y
exact injOn_sin (arcsin_mem_Icc _) h₂ (sin_arcsin' (sin_mem_Icc x))
#align real.arcsin_eq_of_sin_eq Real.arcsin_eq_of_sin_eq
@[simp]
theorem arcsin_zero : arcsin 0 = 0 :=
arcsin_eq_of_sin_eq sin_zero ⟨neg_nonpos.2 pi_div_two_pos.le, pi_div_two_pos.le⟩
#align real.arcsin_zero Real.arcsin_zero
@[simp]
theorem arcsin_one : arcsin 1 = π / 2 :=
arcsin_eq_of_sin_eq sin_pi_div_two <| right_mem_Icc.2 (neg_le_self pi_div_two_pos.le)
#align real.arcsin_one Real.arcsin_one
theorem arcsin_of_one_le {x : ℝ} (hx : 1 ≤ x) : arcsin x = π / 2 := by
rw [← arcsin_projIcc, projIcc_of_right_le _ hx, Subtype.coe_mk, arcsin_one]
#align real.arcsin_of_one_le Real.arcsin_of_one_le
theorem arcsin_neg_one : arcsin (-1) = -(π / 2) :=
arcsin_eq_of_sin_eq (by rw [sin_neg, sin_pi_div_two]) <|
left_mem_Icc.2 (neg_le_self pi_div_two_pos.le)
#align real.arcsin_neg_one Real.arcsin_neg_one
theorem arcsin_of_le_neg_one {x : ℝ} (hx : x ≤ -1) : arcsin x = -(π / 2) := by
rw [← arcsin_projIcc, projIcc_of_le_left _ hx, Subtype.coe_mk, arcsin_neg_one]
#align real.arcsin_of_le_neg_one Real.arcsin_of_le_neg_one
@[simp]
theorem arcsin_neg (x : ℝ) : arcsin (-x) = -arcsin x := by
rcases le_total x (-1) with hx₁ | hx₁
· rw [arcsin_of_le_neg_one hx₁, neg_neg, arcsin_of_one_le (le_neg.2 hx₁)]
rcases le_total 1 x with hx₂ | hx₂
· rw [arcsin_of_one_le hx₂, arcsin_of_le_neg_one (neg_le_neg hx₂)]
refine arcsin_eq_of_sin_eq ?_ ?_
· rw [sin_neg, sin_arcsin hx₁ hx₂]
· exact ⟨neg_le_neg (arcsin_le_pi_div_two _), neg_le.2 (neg_pi_div_two_le_arcsin _)⟩
#align real.arcsin_neg Real.arcsin_neg
theorem arcsin_le_iff_le_sin {x y : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) (hy : y ∈ Icc (-(π / 2)) (π / 2)) :
arcsin x ≤ y ↔ x ≤ sin y := by
rw [← arcsin_sin' hy, strictMonoOn_arcsin.le_iff_le hx (sin_mem_Icc _), arcsin_sin' hy]
#align real.arcsin_le_iff_le_sin Real.arcsin_le_iff_le_sin
theorem arcsin_le_iff_le_sin' {x y : ℝ} (hy : y ∈ Ico (-(π / 2)) (π / 2)) :
arcsin x ≤ y ↔ x ≤ sin y := by
rcases le_total x (-1) with hx₁ | hx₁
· simp [arcsin_of_le_neg_one hx₁, hy.1, hx₁.trans (neg_one_le_sin _)]
cases' lt_or_le 1 x with hx₂ hx₂
· simp [arcsin_of_one_le hx₂.le, hy.2.not_le, (sin_le_one y).trans_lt hx₂]
exact arcsin_le_iff_le_sin ⟨hx₁, hx₂⟩ (mem_Icc_of_Ico hy)
#align real.arcsin_le_iff_le_sin' Real.arcsin_le_iff_le_sin'
theorem le_arcsin_iff_sin_le {x y : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) (hy : y ∈ Icc (-1 : ℝ) 1) :
x ≤ arcsin y ↔ sin x ≤ y := by
rw [← neg_le_neg_iff, ← arcsin_neg,
arcsin_le_iff_le_sin ⟨neg_le_neg hy.2, neg_le.2 hy.1⟩ ⟨neg_le_neg hx.2, neg_le.2 hx.1⟩, sin_neg,
neg_le_neg_iff]
#align real.le_arcsin_iff_sin_le Real.le_arcsin_iff_sin_le
theorem le_arcsin_iff_sin_le' {x y : ℝ} (hx : x ∈ Ioc (-(π / 2)) (π / 2)) :
x ≤ arcsin y ↔ sin x ≤ y := by
rw [← neg_le_neg_iff, ← arcsin_neg, arcsin_le_iff_le_sin' ⟨neg_le_neg hx.2, neg_lt.2 hx.1⟩,
sin_neg, neg_le_neg_iff]
#align real.le_arcsin_iff_sin_le' Real.le_arcsin_iff_sin_le'
theorem arcsin_lt_iff_lt_sin {x y : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) (hy : y ∈ Icc (-(π / 2)) (π / 2)) :
arcsin x < y ↔ x < sin y :=
not_le.symm.trans <| (not_congr <| le_arcsin_iff_sin_le hy hx).trans not_le
#align real.arcsin_lt_iff_lt_sin Real.arcsin_lt_iff_lt_sin
theorem arcsin_lt_iff_lt_sin' {x y : ℝ} (hy : y ∈ Ioc (-(π / 2)) (π / 2)) :
arcsin x < y ↔ x < sin y :=
not_le.symm.trans <| (not_congr <| le_arcsin_iff_sin_le' hy).trans not_le
#align real.arcsin_lt_iff_lt_sin' Real.arcsin_lt_iff_lt_sin'
theorem lt_arcsin_iff_sin_lt {x y : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) (hy : y ∈ Icc (-1 : ℝ) 1) :
x < arcsin y ↔ sin x < y :=
not_le.symm.trans <| (not_congr <| arcsin_le_iff_le_sin hy hx).trans not_le
#align real.lt_arcsin_iff_sin_lt Real.lt_arcsin_iff_sin_lt
theorem lt_arcsin_iff_sin_lt' {x y : ℝ} (hx : x ∈ Ico (-(π / 2)) (π / 2)) :
x < arcsin y ↔ sin x < y :=
not_le.symm.trans <| (not_congr <| arcsin_le_iff_le_sin' hx).trans not_le
#align real.lt_arcsin_iff_sin_lt' Real.lt_arcsin_iff_sin_lt'
theorem arcsin_eq_iff_eq_sin {x y : ℝ} (hy : y ∈ Ioo (-(π / 2)) (π / 2)) :
arcsin x = y ↔ x = sin y := by
simp only [le_antisymm_iff, arcsin_le_iff_le_sin' (mem_Ico_of_Ioo hy),
le_arcsin_iff_sin_le' (mem_Ioc_of_Ioo hy)]
#align real.arcsin_eq_iff_eq_sin Real.arcsin_eq_iff_eq_sin
@[simp]
theorem arcsin_nonneg {x : ℝ} : 0 ≤ arcsin x ↔ 0 ≤ x :=
(le_arcsin_iff_sin_le' ⟨neg_lt_zero.2 pi_div_two_pos, pi_div_two_pos.le⟩).trans <| by
rw [sin_zero]
#align real.arcsin_nonneg Real.arcsin_nonneg
@[simp]
theorem arcsin_nonpos {x : ℝ} : arcsin x ≤ 0 ↔ x ≤ 0 :=
neg_nonneg.symm.trans <| arcsin_neg x ▸ arcsin_nonneg.trans neg_nonneg
#align real.arcsin_nonpos Real.arcsin_nonpos
@[simp]
theorem arcsin_eq_zero_iff {x : ℝ} : arcsin x = 0 ↔ x = 0 := by simp [le_antisymm_iff]
#align real.arcsin_eq_zero_iff Real.arcsin_eq_zero_iff
@[simp]
theorem zero_eq_arcsin_iff {x} : 0 = arcsin x ↔ x = 0 :=
eq_comm.trans arcsin_eq_zero_iff
#align real.zero_eq_arcsin_iff Real.zero_eq_arcsin_iff
@[simp]
theorem arcsin_pos {x : ℝ} : 0 < arcsin x ↔ 0 < x :=
lt_iff_lt_of_le_iff_le arcsin_nonpos
#align real.arcsin_pos Real.arcsin_pos
@[simp]
theorem arcsin_lt_zero {x : ℝ} : arcsin x < 0 ↔ x < 0 :=
lt_iff_lt_of_le_iff_le arcsin_nonneg
#align real.arcsin_lt_zero Real.arcsin_lt_zero
@[simp]
theorem arcsin_lt_pi_div_two {x : ℝ} : arcsin x < π / 2 ↔ x < 1 :=
(arcsin_lt_iff_lt_sin' (right_mem_Ioc.2 <| neg_lt_self pi_div_two_pos)).trans <| by
rw [sin_pi_div_two]
#align real.arcsin_lt_pi_div_two Real.arcsin_lt_pi_div_two
@[simp]
theorem neg_pi_div_two_lt_arcsin {x : ℝ} : -(π / 2) < arcsin x ↔ -1 < x :=
(lt_arcsin_iff_sin_lt' <| left_mem_Ico.2 <| neg_lt_self pi_div_two_pos).trans <| by
rw [sin_neg, sin_pi_div_two]
#align real.neg_pi_div_two_lt_arcsin Real.neg_pi_div_two_lt_arcsin
@[simp]
theorem arcsin_eq_pi_div_two {x : ℝ} : arcsin x = π / 2 ↔ 1 ≤ x :=
⟨fun h => not_lt.1 fun h' => (arcsin_lt_pi_div_two.2 h').ne h, arcsin_of_one_le⟩
#align real.arcsin_eq_pi_div_two Real.arcsin_eq_pi_div_two
@[simp]
theorem pi_div_two_eq_arcsin {x} : π / 2 = arcsin x ↔ 1 ≤ x :=
eq_comm.trans arcsin_eq_pi_div_two
#align real.pi_div_two_eq_arcsin Real.pi_div_two_eq_arcsin
@[simp]
theorem pi_div_two_le_arcsin {x} : π / 2 ≤ arcsin x ↔ 1 ≤ x :=
(arcsin_le_pi_div_two x).le_iff_eq.trans pi_div_two_eq_arcsin
#align real.pi_div_two_le_arcsin Real.pi_div_two_le_arcsin
@[simp]
theorem arcsin_eq_neg_pi_div_two {x : ℝ} : arcsin x = -(π / 2) ↔ x ≤ -1 :=
⟨fun h => not_lt.1 fun h' => (neg_pi_div_two_lt_arcsin.2 h').ne' h, arcsin_of_le_neg_one⟩
#align real.arcsin_eq_neg_pi_div_two Real.arcsin_eq_neg_pi_div_two
@[simp]
theorem neg_pi_div_two_eq_arcsin {x} : -(π / 2) = arcsin x ↔ x ≤ -1 :=
eq_comm.trans arcsin_eq_neg_pi_div_two
#align real.neg_pi_div_two_eq_arcsin Real.neg_pi_div_two_eq_arcsin
@[simp]
theorem arcsin_le_neg_pi_div_two {x} : arcsin x ≤ -(π / 2) ↔ x ≤ -1 :=
(neg_pi_div_two_le_arcsin x).le_iff_eq.trans arcsin_eq_neg_pi_div_two
#align real.arcsin_le_neg_pi_div_two Real.arcsin_le_neg_pi_div_two
@[simp]
theorem pi_div_four_le_arcsin {x} : π / 4 ≤ arcsin x ↔ √2 / 2 ≤ x := by
rw [← sin_pi_div_four, le_arcsin_iff_sin_le']
have := pi_pos
constructor <;> linarith
#align real.pi_div_four_le_arcsin Real.pi_div_four_le_arcsin
theorem mapsTo_sin_Ioo : MapsTo sin (Ioo (-(π / 2)) (π / 2)) (Ioo (-1) 1) := fun x h => by
rwa [mem_Ioo, ← arcsin_lt_pi_div_two, ← neg_pi_div_two_lt_arcsin, arcsin_sin h.1.le h.2.le]
#align real.maps_to_sin_Ioo Real.mapsTo_sin_Ioo
@[simp]
def sinPartialHomeomorph : PartialHomeomorph ℝ ℝ where
toFun := sin
invFun := arcsin
source := Ioo (-(π / 2)) (π / 2)
target := Ioo (-1) 1
map_source' := mapsTo_sin_Ioo
map_target' _ hy := ⟨neg_pi_div_two_lt_arcsin.2 hy.1, arcsin_lt_pi_div_two.2 hy.2⟩
left_inv' _ hx := arcsin_sin hx.1.le hx.2.le
right_inv' _ hy := sin_arcsin hy.1.le hy.2.le
open_source := isOpen_Ioo
open_target := isOpen_Ioo
continuousOn_toFun := continuous_sin.continuousOn
continuousOn_invFun := continuous_arcsin.continuousOn
#align real.sin_local_homeomorph Real.sinPartialHomeomorph
theorem cos_arcsin_nonneg (x : ℝ) : 0 ≤ cos (arcsin x) :=
cos_nonneg_of_mem_Icc ⟨neg_pi_div_two_le_arcsin _, arcsin_le_pi_div_two _⟩
#align real.cos_arcsin_nonneg Real.cos_arcsin_nonneg
-- The junk values for `arcsin` and `sqrt` make this true even outside `[-1, 1]`.
theorem cos_arcsin (x : ℝ) : cos (arcsin x) = √(1 - x ^ 2) := by
by_cases hx₁ : -1 ≤ x; swap
· rw [not_le] at hx₁
rw [arcsin_of_le_neg_one hx₁.le, cos_neg, cos_pi_div_two, sqrt_eq_zero_of_nonpos]
nlinarith
by_cases hx₂ : x ≤ 1; swap
· rw [not_le] at hx₂
rw [arcsin_of_one_le hx₂.le, cos_pi_div_two, sqrt_eq_zero_of_nonpos]
nlinarith
have : sin (arcsin x) ^ 2 + cos (arcsin x) ^ 2 = 1 := sin_sq_add_cos_sq (arcsin x)
rw [← eq_sub_iff_add_eq', ← sqrt_inj (sq_nonneg _) (sub_nonneg.2 (sin_sq_le_one (arcsin x))), sq,
sqrt_mul_self (cos_arcsin_nonneg _)] at this
rw [this, sin_arcsin hx₁ hx₂]
#align real.cos_arcsin Real.cos_arcsin
-- The junk values for `arcsin` and `sqrt` make this true even outside `[-1, 1]`.
theorem tan_arcsin (x : ℝ) : tan (arcsin x) = x / √(1 - x ^ 2) := by
rw [tan_eq_sin_div_cos, cos_arcsin]
by_cases hx₁ : -1 ≤ x; swap
· have h : √(1 - x ^ 2) = 0 := sqrt_eq_zero_of_nonpos (by nlinarith)
rw [h]
simp
by_cases hx₂ : x ≤ 1; swap
· have h : √(1 - x ^ 2) = 0 := sqrt_eq_zero_of_nonpos (by nlinarith)
rw [h]
simp
rw [sin_arcsin hx₁ hx₂]
#align real.tan_arcsin Real.tan_arcsin
-- @[pp_nodot] Porting note: not implemented
noncomputable def arccos (x : ℝ) : ℝ :=
π / 2 - arcsin x
#align real.arccos Real.arccos
theorem arccos_eq_pi_div_two_sub_arcsin (x : ℝ) : arccos x = π / 2 - arcsin x :=
rfl
#align real.arccos_eq_pi_div_two_sub_arcsin Real.arccos_eq_pi_div_two_sub_arcsin
theorem arcsin_eq_pi_div_two_sub_arccos (x : ℝ) : arcsin x = π / 2 - arccos x := by simp [arccos]
#align real.arcsin_eq_pi_div_two_sub_arccos Real.arcsin_eq_pi_div_two_sub_arccos
theorem arccos_le_pi (x : ℝ) : arccos x ≤ π := by
unfold arccos; linarith [neg_pi_div_two_le_arcsin x]
#align real.arccos_le_pi Real.arccos_le_pi
theorem arccos_nonneg (x : ℝ) : 0 ≤ arccos x := by
unfold arccos; linarith [arcsin_le_pi_div_two x]
#align real.arccos_nonneg Real.arccos_nonneg
@[simp]
theorem arccos_pos {x : ℝ} : 0 < arccos x ↔ x < 1 := by simp [arccos]
#align real.arccos_pos Real.arccos_pos
theorem cos_arccos {x : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) : cos (arccos x) = x := by
rw [arccos, cos_pi_div_two_sub, sin_arcsin hx₁ hx₂]
#align real.cos_arccos Real.cos_arccos
theorem arccos_cos {x : ℝ} (hx₁ : 0 ≤ x) (hx₂ : x ≤ π) : arccos (cos x) = x := by
rw [arccos, ← sin_pi_div_two_sub, arcsin_sin] <;> simp [sub_eq_add_neg] <;> linarith
#align real.arccos_cos Real.arccos_cos
lemma arccos_eq_of_eq_cos (hy₀ : 0 ≤ y) (hy₁ : y ≤ π) (hxy : x = cos y) : arccos x = y := by
rw [hxy, arccos_cos hy₀ hy₁]
theorem strictAntiOn_arccos : StrictAntiOn arccos (Icc (-1) 1) := fun _ hx _ hy h =>
sub_lt_sub_left (strictMonoOn_arcsin hx hy h) _
#align real.strict_anti_on_arccos Real.strictAntiOn_arccos
theorem arccos_injOn : InjOn arccos (Icc (-1) 1) :=
strictAntiOn_arccos.injOn
#align real.arccos_inj_on Real.arccos_injOn
theorem arccos_inj {x y : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) (hy₁ : -1 ≤ y) (hy₂ : y ≤ 1) :
arccos x = arccos y ↔ x = y :=
arccos_injOn.eq_iff ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩
#align real.arccos_inj Real.arccos_inj
@[simp]
theorem arccos_zero : arccos 0 = π / 2 := by simp [arccos]
#align real.arccos_zero Real.arccos_zero
@[simp]
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Inverse.lean | 390 | 390 | theorem arccos_one : arccos 1 = 0 := by | simp [arccos]
|
import Mathlib.MeasureTheory.Measure.GiryMonad
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.MeasureTheory.Integral.Lebesgue
import Mathlib.MeasureTheory.Measure.OpenPos
#align_import measure_theory.constructions.prod.basic from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d"
noncomputable section
open scoped Classical
open Topology ENNReal MeasureTheory
open Set Function Real ENNReal
open MeasureTheory MeasurableSpace MeasureTheory.Measure
open TopologicalSpace hiding generateFrom
open Filter hiding prod_eq map
variable {α α' β β' γ E : Type*}
theorem IsPiSystem.prod {C : Set (Set α)} {D : Set (Set β)} (hC : IsPiSystem C)
(hD : IsPiSystem D) : IsPiSystem (image2 (· ×ˢ ·) C D) := by
rintro _ ⟨s₁, hs₁, t₁, ht₁, rfl⟩ _ ⟨s₂, hs₂, t₂, ht₂, rfl⟩ hst
rw [prod_inter_prod] at hst ⊢; rw [prod_nonempty_iff] at hst
exact mem_image2_of_mem (hC _ hs₁ _ hs₂ hst.1) (hD _ ht₁ _ ht₂ hst.2)
#align is_pi_system.prod IsPiSystem.prod
theorem IsCountablySpanning.prod {C : Set (Set α)} {D : Set (Set β)} (hC : IsCountablySpanning C)
(hD : IsCountablySpanning D) : IsCountablySpanning (image2 (· ×ˢ ·) C D) := by
rcases hC, hD with ⟨⟨s, h1s, h2s⟩, t, h1t, h2t⟩
refine ⟨fun n => s n.unpair.1 ×ˢ t n.unpair.2, fun n => mem_image2_of_mem (h1s _) (h1t _), ?_⟩
rw [iUnion_unpair_prod, h2s, h2t, univ_prod_univ]
#align is_countably_spanning.prod IsCountablySpanning.prod
variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β']
variable [MeasurableSpace γ]
variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ}
variable [NormedAddCommGroup E]
theorem generateFrom_prod_eq {α β} {C : Set (Set α)} {D : Set (Set β)} (hC : IsCountablySpanning C)
(hD : IsCountablySpanning D) :
@Prod.instMeasurableSpace _ _ (generateFrom C) (generateFrom D) =
generateFrom (image2 (· ×ˢ ·) C D) := by
apply le_antisymm
· refine sup_le ?_ ?_ <;> rw [comap_generateFrom] <;> apply generateFrom_le <;>
rintro _ ⟨s, hs, rfl⟩
· rcases hD with ⟨t, h1t, h2t⟩
rw [← prod_univ, ← h2t, prod_iUnion]
apply MeasurableSet.iUnion
intro n
apply measurableSet_generateFrom
exact ⟨s, hs, t n, h1t n, rfl⟩
· rcases hC with ⟨t, h1t, h2t⟩
rw [← univ_prod, ← h2t, iUnion_prod_const]
apply MeasurableSet.iUnion
rintro n
apply measurableSet_generateFrom
exact mem_image2_of_mem (h1t n) hs
· apply generateFrom_le
rintro _ ⟨s, hs, t, ht, rfl⟩
dsimp only
rw [prod_eq]
apply (measurable_fst _).inter (measurable_snd _)
· exact measurableSet_generateFrom hs
· exact measurableSet_generateFrom ht
#align generate_from_prod_eq generateFrom_prod_eq
theorem generateFrom_eq_prod {C : Set (Set α)} {D : Set (Set β)} (hC : generateFrom C = ‹_›)
(hD : generateFrom D = ‹_›) (h2C : IsCountablySpanning C) (h2D : IsCountablySpanning D) :
generateFrom (image2 (· ×ˢ ·) C D) = Prod.instMeasurableSpace := by
rw [← hC, ← hD, generateFrom_prod_eq h2C h2D]
#align generate_from_eq_prod generateFrom_eq_prod
theorem generateFrom_prod :
generateFrom (image2 (· ×ˢ ·) { s : Set α | MeasurableSet s } { t : Set β | MeasurableSet t }) =
Prod.instMeasurableSpace :=
generateFrom_eq_prod generateFrom_measurableSet generateFrom_measurableSet
isCountablySpanning_measurableSet isCountablySpanning_measurableSet
#align generate_from_prod generateFrom_prod
theorem isPiSystem_prod :
IsPiSystem (image2 (· ×ˢ ·) { s : Set α | MeasurableSet s } { t : Set β | MeasurableSet t }) :=
isPiSystem_measurableSet.prod isPiSystem_measurableSet
#align is_pi_system_prod isPiSystem_prod
theorem measurable_measure_prod_mk_left_finite [IsFiniteMeasure ν] {s : Set (α × β)}
(hs : MeasurableSet s) : Measurable fun x => ν (Prod.mk x ⁻¹' s) := by
refine induction_on_inter (C := fun s => Measurable fun x => ν (Prod.mk x ⁻¹' s))
generateFrom_prod.symm isPiSystem_prod ?_ ?_ ?_ ?_ hs
· simp
· rintro _ ⟨s, hs, t, _, rfl⟩
simp only [mk_preimage_prod_right_eq_if, measure_if]
exact measurable_const.indicator hs
· intro t ht h2t
simp_rw [preimage_compl, measure_compl (measurable_prod_mk_left ht) (measure_ne_top ν _)]
exact h2t.const_sub _
· intro f h1f h2f h3f
simp_rw [preimage_iUnion]
have : ∀ b, ν (⋃ i, Prod.mk b ⁻¹' f i) = ∑' i, ν (Prod.mk b ⁻¹' f i) := fun b =>
measure_iUnion (fun i j hij => Disjoint.preimage _ (h1f hij)) fun i =>
measurable_prod_mk_left (h2f i)
simp_rw [this]
apply Measurable.ennreal_tsum h3f
#align measurable_measure_prod_mk_left_finite measurable_measure_prod_mk_left_finite
theorem measurable_measure_prod_mk_left [SFinite ν] {s : Set (α × β)} (hs : MeasurableSet s) :
Measurable fun x => ν (Prod.mk x ⁻¹' s) := by
rw [← sum_sFiniteSeq ν]
simp_rw [Measure.sum_apply_of_countable]
exact Measurable.ennreal_tsum (fun i ↦ measurable_measure_prod_mk_left_finite hs)
#align measurable_measure_prod_mk_left measurable_measure_prod_mk_left
theorem measurable_measure_prod_mk_right {μ : Measure α} [SFinite μ] {s : Set (α × β)}
(hs : MeasurableSet s) : Measurable fun y => μ ((fun x => (x, y)) ⁻¹' s) :=
measurable_measure_prod_mk_left (measurableSet_swap_iff.mpr hs)
#align measurable_measure_prod_mk_right measurable_measure_prod_mk_right
theorem Measurable.map_prod_mk_left [SFinite ν] :
Measurable fun x : α => map (Prod.mk x) ν := by
apply measurable_of_measurable_coe; intro s hs
simp_rw [map_apply measurable_prod_mk_left hs]
exact measurable_measure_prod_mk_left hs
#align measurable.map_prod_mk_left Measurable.map_prod_mk_left
theorem Measurable.map_prod_mk_right {μ : Measure α} [SFinite μ] :
Measurable fun y : β => map (fun x : α => (x, y)) μ := by
apply measurable_of_measurable_coe; intro s hs
simp_rw [map_apply measurable_prod_mk_right hs]
exact measurable_measure_prod_mk_right hs
#align measurable.map_prod_mk_right Measurable.map_prod_mk_right
theorem MeasurableEmbedding.prod_mk {α β γ δ : Type*} {mα : MeasurableSpace α}
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ} {mδ : MeasurableSpace δ} {f : α → β}
{g : γ → δ} (hg : MeasurableEmbedding g) (hf : MeasurableEmbedding f) :
MeasurableEmbedding fun x : γ × α => (g x.1, f x.2) := by
have h_inj : Function.Injective fun x : γ × α => (g x.fst, f x.snd) := by
intro x y hxy
rw [← @Prod.mk.eta _ _ x, ← @Prod.mk.eta _ _ y]
simp only [Prod.mk.inj_iff] at hxy ⊢
exact ⟨hg.injective hxy.1, hf.injective hxy.2⟩
refine ⟨h_inj, ?_, ?_⟩
· exact (hg.measurable.comp measurable_fst).prod_mk (hf.measurable.comp measurable_snd)
· -- Induction using the π-system of rectangles
refine fun s hs =>
@MeasurableSpace.induction_on_inter _
(fun s => MeasurableSet ((fun x : γ × α => (g x.fst, f x.snd)) '' s)) _ _
generateFrom_prod.symm isPiSystem_prod ?_ ?_ ?_ ?_ _ hs
· simp only [Set.image_empty, MeasurableSet.empty]
· rintro t ⟨t₁, ht₁, t₂, ht₂, rfl⟩
rw [← Set.prod_image_image_eq]
exact (hg.measurableSet_image.mpr ht₁).prod (hf.measurableSet_image.mpr ht₂)
· intro t _ ht_m
rw [← Set.range_diff_image h_inj, ← Set.prod_range_range_eq]
exact
MeasurableSet.diff (MeasurableSet.prod hg.measurableSet_range hf.measurableSet_range) ht_m
· intro g _ _ hg
simp_rw [Set.image_iUnion]
exact MeasurableSet.iUnion hg
#align measurable_embedding.prod_mk MeasurableEmbedding.prod_mk
lemma MeasurableEmbedding.prod_mk_left {β γ : Type*} [MeasurableSingletonClass α]
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
(x : α) {f : γ → β} (hf : MeasurableEmbedding f) :
MeasurableEmbedding (fun y ↦ (x, f y)) where
injective := by
intro y y'
simp only [Prod.mk.injEq, true_and]
exact fun h ↦ hf.injective h
measurable := Measurable.prod_mk measurable_const hf.measurable
measurableSet_image' := by
intro s hs
convert (MeasurableSet.singleton x).prod (hf.measurableSet_image.mpr hs)
ext x
simp
lemma measurableEmbedding_prod_mk_left [MeasurableSingletonClass α] (x : α) :
MeasurableEmbedding (Prod.mk x : β → α × β) :=
MeasurableEmbedding.prod_mk_left x MeasurableEmbedding.id
lemma MeasurableEmbedding.prod_mk_right {β γ : Type*} [MeasurableSingletonClass α]
{mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
{f : γ → β} (hf : MeasurableEmbedding f) (x : α) :
MeasurableEmbedding (fun y ↦ (f y, x)) where
injective := by
intro y y'
simp only [Prod.mk.injEq, and_true]
exact fun h ↦ hf.injective h
measurable := Measurable.prod_mk hf.measurable measurable_const
measurableSet_image' := by
intro s hs
convert (hf.measurableSet_image.mpr hs).prod (MeasurableSet.singleton x)
ext x
simp
lemma measurableEmbedding_prod_mk_right [MeasurableSingletonClass α] (x : α) :
MeasurableEmbedding (fun y ↦ (y, x) : β → β × α) :=
MeasurableEmbedding.prod_mk_right MeasurableEmbedding.id x
theorem Measurable.lintegral_prod_right' [SFinite ν] :
∀ {f : α × β → ℝ≥0∞}, Measurable f → Measurable fun x => ∫⁻ y, f (x, y) ∂ν := by
have m := @measurable_prod_mk_left
refine Measurable.ennreal_induction (P := fun f => Measurable fun (x : α) => ∫⁻ y, f (x, y) ∂ν)
?_ ?_ ?_
· intro c s hs
simp only [← indicator_comp_right]
suffices Measurable fun x => c * ν (Prod.mk x ⁻¹' s) by simpa [lintegral_indicator _ (m hs)]
exact (measurable_measure_prod_mk_left hs).const_mul _
· rintro f g - hf - h2f h2g
simp only [Pi.add_apply]
conv => enter [1, x]; erw [lintegral_add_left (hf.comp m)]
exact h2f.add h2g
· intro f hf h2f h3f
have := measurable_iSup h3f
have : ∀ x, Monotone fun n y => f n (x, y) := fun x i j hij y => h2f hij (x, y)
conv => enter [1, x]; erw [lintegral_iSup (fun n => (hf n).comp m) (this x)]
assumption
#align measurable.lintegral_prod_right' Measurable.lintegral_prod_right'
theorem Measurable.lintegral_prod_right [SFinite ν] {f : α → β → ℝ≥0∞}
(hf : Measurable (uncurry f)) : Measurable fun x => ∫⁻ y, f x y ∂ν :=
hf.lintegral_prod_right'
#align measurable.lintegral_prod_right Measurable.lintegral_prod_right
theorem Measurable.lintegral_prod_left' [SFinite μ] {f : α × β → ℝ≥0∞} (hf : Measurable f) :
Measurable fun y => ∫⁻ x, f (x, y) ∂μ :=
(measurable_swap_iff.mpr hf).lintegral_prod_right'
#align measurable.lintegral_prod_left' Measurable.lintegral_prod_left'
theorem Measurable.lintegral_prod_left [SFinite μ] {f : α → β → ℝ≥0∞}
(hf : Measurable (uncurry f)) : Measurable fun y => ∫⁻ x, f x y ∂μ :=
hf.lintegral_prod_left'
#align measurable.lintegral_prod_left Measurable.lintegral_prod_left
namespace MeasureTheory
namespace Measure
protected irreducible_def prod (μ : Measure α) (ν : Measure β) : Measure (α × β) :=
bind μ fun x : α => map (Prod.mk x) ν
#align measure_theory.measure.prod MeasureTheory.Measure.prod
instance prod.measureSpace {α β} [MeasureSpace α] [MeasureSpace β] : MeasureSpace (α × β) where
volume := volume.prod volume
#align measure_theory.measure.prod.measure_space MeasureTheory.Measure.prod.measureSpace
theorem volume_eq_prod (α β) [MeasureSpace α] [MeasureSpace β] :
(volume : Measure (α × β)) = (volume : Measure α).prod (volume : Measure β) :=
rfl
#align measure_theory.measure.volume_eq_prod MeasureTheory.Measure.volume_eq_prod
variable [SFinite ν]
theorem prod_apply {s : Set (α × β)} (hs : MeasurableSet s) :
μ.prod ν s = ∫⁻ x, ν (Prod.mk x ⁻¹' s) ∂μ := by
simp_rw [Measure.prod, bind_apply hs (Measurable.map_prod_mk_left (ν := ν)),
map_apply measurable_prod_mk_left hs]
#align measure_theory.measure.prod_apply MeasureTheory.Measure.prod_apply
@[simp]
theorem prod_prod (s : Set α) (t : Set β) : μ.prod ν (s ×ˢ t) = μ s * ν t := by
apply le_antisymm
· set S := toMeasurable μ s
set T := toMeasurable ν t
have hSTm : MeasurableSet (S ×ˢ T) :=
(measurableSet_toMeasurable _ _).prod (measurableSet_toMeasurable _ _)
calc
μ.prod ν (s ×ˢ t) ≤ μ.prod ν (S ×ˢ T) := by gcongr <;> apply subset_toMeasurable
_ = μ S * ν T := by
rw [prod_apply hSTm]
simp_rw [mk_preimage_prod_right_eq_if, measure_if,
lintegral_indicator _ (measurableSet_toMeasurable _ _), lintegral_const,
restrict_apply_univ, mul_comm]
_ = μ s * ν t := by rw [measure_toMeasurable, measure_toMeasurable]
· -- Formalization is based on https://mathoverflow.net/a/254134/136589
set ST := toMeasurable (μ.prod ν) (s ×ˢ t)
have hSTm : MeasurableSet ST := measurableSet_toMeasurable _ _
have hST : s ×ˢ t ⊆ ST := subset_toMeasurable _ _
set f : α → ℝ≥0∞ := fun x => ν (Prod.mk x ⁻¹' ST)
have hfm : Measurable f := measurable_measure_prod_mk_left hSTm
set s' : Set α := { x | ν t ≤ f x }
have hss' : s ⊆ s' := fun x hx => measure_mono fun y hy => hST <| mk_mem_prod hx hy
calc
μ s * ν t ≤ μ s' * ν t := by gcongr
_ = ∫⁻ _ in s', ν t ∂μ := by rw [set_lintegral_const, mul_comm]
_ ≤ ∫⁻ x in s', f x ∂μ := set_lintegral_mono measurable_const hfm fun x => id
_ ≤ ∫⁻ x, f x ∂μ := lintegral_mono' restrict_le_self le_rfl
_ = μ.prod ν ST := (prod_apply hSTm).symm
_ = μ.prod ν (s ×ˢ t) := measure_toMeasurable _
#align measure_theory.measure.prod_prod MeasureTheory.Measure.prod_prod
@[simp] lemma map_fst_prod : Measure.map Prod.fst (μ.prod ν) = (ν univ) • μ := by
ext s hs
simp [Measure.map_apply measurable_fst hs, ← prod_univ, mul_comm]
@[simp] lemma map_snd_prod : Measure.map Prod.snd (μ.prod ν) = (μ univ) • ν := by
ext s hs
simp [Measure.map_apply measurable_snd hs, ← univ_prod]
instance prod.instIsOpenPosMeasure {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y]
{m : MeasurableSpace X} {μ : Measure X} [IsOpenPosMeasure μ] {m' : MeasurableSpace Y}
{ν : Measure Y} [IsOpenPosMeasure ν] [SFinite ν] : IsOpenPosMeasure (μ.prod ν) := by
constructor
rintro U U_open ⟨⟨x, y⟩, hxy⟩
rcases isOpen_prod_iff.1 U_open x y hxy with ⟨u, v, u_open, v_open, xu, yv, huv⟩
refine ne_of_gt (lt_of_lt_of_le ?_ (measure_mono huv))
simp only [prod_prod, CanonicallyOrderedCommSemiring.mul_pos]
constructor
· exact u_open.measure_pos μ ⟨x, xu⟩
· exact v_open.measure_pos ν ⟨y, yv⟩
#align measure_theory.measure.prod.is_open_pos_measure MeasureTheory.Measure.prod.instIsOpenPosMeasure
instance {X Y : Type*}
[TopologicalSpace X] [MeasureSpace X] [IsOpenPosMeasure (volume : Measure X)]
[TopologicalSpace Y] [MeasureSpace Y] [IsOpenPosMeasure (volume : Measure Y)]
[SFinite (volume : Measure Y)] : IsOpenPosMeasure (volume : Measure (X × Y)) :=
prod.instIsOpenPosMeasure
instance prod.instIsFiniteMeasure {α β : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
(μ : Measure α) (ν : Measure β) [IsFiniteMeasure μ] [IsFiniteMeasure ν] :
IsFiniteMeasure (μ.prod ν) := by
constructor
rw [← univ_prod_univ, prod_prod]
exact mul_lt_top (measure_lt_top _ _).ne (measure_lt_top _ _).ne
#align measure_theory.measure.prod.measure_theory.is_finite_measure MeasureTheory.Measure.prod.instIsFiniteMeasure
instance {α β : Type*} [MeasureSpace α] [MeasureSpace β] [IsFiniteMeasure (volume : Measure α)]
[IsFiniteMeasure (volume : Measure β)] : IsFiniteMeasure (volume : Measure (α × β)) :=
prod.instIsFiniteMeasure _ _
instance prod.instIsProbabilityMeasure {α β : Type*} {mα : MeasurableSpace α}
{mβ : MeasurableSpace β} (μ : Measure α) (ν : Measure β) [IsProbabilityMeasure μ]
[IsProbabilityMeasure ν] : IsProbabilityMeasure (μ.prod ν) :=
⟨by rw [← univ_prod_univ, prod_prod, measure_univ, measure_univ, mul_one]⟩
#align measure_theory.measure.prod.measure_theory.is_probability_measure MeasureTheory.Measure.prod.instIsProbabilityMeasure
instance {α β : Type*} [MeasureSpace α] [MeasureSpace β]
[IsProbabilityMeasure (volume : Measure α)] [IsProbabilityMeasure (volume : Measure β)] :
IsProbabilityMeasure (volume : Measure (α × β)) :=
prod.instIsProbabilityMeasure _ _
instance prod.instIsFiniteMeasureOnCompacts {α β : Type*} [TopologicalSpace α] [TopologicalSpace β]
{mα : MeasurableSpace α} {mβ : MeasurableSpace β} (μ : Measure α) (ν : Measure β)
[IsFiniteMeasureOnCompacts μ] [IsFiniteMeasureOnCompacts ν] [SFinite ν] :
IsFiniteMeasureOnCompacts (μ.prod ν) := by
refine ⟨fun K hK => ?_⟩
set L := (Prod.fst '' K) ×ˢ (Prod.snd '' K) with hL
have : K ⊆ L := by
rintro ⟨x, y⟩ hxy
simp only [L, prod_mk_mem_set_prod_eq, mem_image, Prod.exists, exists_and_right,
exists_eq_right]
exact ⟨⟨y, hxy⟩, ⟨x, hxy⟩⟩
apply lt_of_le_of_lt (measure_mono this)
rw [hL, prod_prod]
exact
mul_lt_top (IsCompact.measure_lt_top (hK.image continuous_fst)).ne
(IsCompact.measure_lt_top (hK.image continuous_snd)).ne
#align measure_theory.measure.prod.measure_theory.is_finite_measure_on_compacts MeasureTheory.Measure.prod.instIsFiniteMeasureOnCompacts
instance {X Y : Type*}
[TopologicalSpace X] [MeasureSpace X] [IsFiniteMeasureOnCompacts (volume : Measure X)]
[TopologicalSpace Y] [MeasureSpace Y] [IsFiniteMeasureOnCompacts (volume : Measure Y)]
[SFinite (volume : Measure Y)] : IsFiniteMeasureOnCompacts (volume : Measure (X × Y)) :=
prod.instIsFiniteMeasureOnCompacts _ _
instance prod.instNoAtoms_fst [NoAtoms μ] :
NoAtoms (Measure.prod μ ν) := by
refine NoAtoms.mk (fun x => ?_)
rw [← Set.singleton_prod_singleton, Measure.prod_prod, measure_singleton, zero_mul]
instance prod.instNoAtoms_snd [NoAtoms ν] :
NoAtoms (Measure.prod μ ν) := by
refine NoAtoms.mk (fun x => ?_)
rw [← Set.singleton_prod_singleton, Measure.prod_prod, measure_singleton (μ := ν), mul_zero]
theorem ae_measure_lt_top {s : Set (α × β)} (hs : MeasurableSet s) (h2s : (μ.prod ν) s ≠ ∞) :
∀ᵐ x ∂μ, ν (Prod.mk x ⁻¹' s) < ∞ := by
rw [prod_apply hs] at h2s
exact ae_lt_top (measurable_measure_prod_mk_left hs) h2s
#align measure_theory.measure.ae_measure_lt_top MeasureTheory.Measure.ae_measure_lt_top
theorem measure_prod_null {s : Set (α × β)} (hs : MeasurableSet s) :
μ.prod ν s = 0 ↔ (fun x => ν (Prod.mk x ⁻¹' s)) =ᵐ[μ] 0 := by
rw [prod_apply hs, lintegral_eq_zero_iff (measurable_measure_prod_mk_left hs)]
#align measure_theory.measure.measure_prod_null MeasureTheory.Measure.measure_prod_null
theorem measure_ae_null_of_prod_null {s : Set (α × β)} (h : μ.prod ν s = 0) :
(fun x => ν (Prod.mk x ⁻¹' s)) =ᵐ[μ] 0 := by
obtain ⟨t, hst, mt, ht⟩ := exists_measurable_superset_of_null h
rw [measure_prod_null mt] at ht
rw [eventuallyLE_antisymm_iff]
exact
⟨EventuallyLE.trans_eq (eventually_of_forall fun x => (measure_mono (preimage_mono hst) : _))
ht,
eventually_of_forall fun x => zero_le _⟩
#align measure_theory.measure.measure_ae_null_of_prod_null MeasureTheory.Measure.measure_ae_null_of_prod_null
theorem AbsolutelyContinuous.prod [SFinite ν'] (h1 : μ ≪ μ') (h2 : ν ≪ ν') :
μ.prod ν ≪ μ'.prod ν' := by
refine AbsolutelyContinuous.mk fun s hs h2s => ?_
rw [measure_prod_null hs] at h2s ⊢
exact (h2s.filter_mono h1.ae_le).mono fun _ h => h2 h
#align measure_theory.measure.absolutely_continuous.prod MeasureTheory.Measure.AbsolutelyContinuous.prod
theorem ae_ae_of_ae_prod {p : α × β → Prop} (h : ∀ᵐ z ∂μ.prod ν, p z) :
∀ᵐ x ∂μ, ∀ᵐ y ∂ν, p (x, y) :=
measure_ae_null_of_prod_null h
#align measure_theory.measure.ae_ae_of_ae_prod MeasureTheory.Measure.ae_ae_of_ae_prod
theorem ae_ae_eq_curry_of_prod {f g : α × β → γ} (h : f =ᵐ[μ.prod ν] g) :
∀ᵐ x ∂μ, curry f x =ᵐ[ν] curry g x :=
ae_ae_of_ae_prod h
theorem ae_ae_eq_of_ae_eq_uncurry {f g : α → β → γ} (h : uncurry f =ᵐ[μ.prod ν] uncurry g) :
∀ᵐ x ∂μ, f x =ᵐ[ν] g x :=
ae_ae_eq_curry_of_prod h
theorem ae_prod_mem_iff_ae_ae_mem {s : Set (α × β)} (hs : MeasurableSet s) :
(∀ᵐ z ∂μ.prod ν, z ∈ s) ↔ ∀ᵐ x ∂μ, ∀ᵐ y ∂ν, (x, y) ∈ s :=
measure_prod_null hs.compl
theorem quasiMeasurePreserving_fst : QuasiMeasurePreserving Prod.fst (μ.prod ν) μ := by
refine ⟨measurable_fst, AbsolutelyContinuous.mk fun s hs h2s => ?_⟩
rw [map_apply measurable_fst hs, ← prod_univ, prod_prod, h2s, zero_mul]
#align measure_theory.measure.quasi_measure_preserving_fst MeasureTheory.Measure.quasiMeasurePreserving_fst
theorem quasiMeasurePreserving_snd : QuasiMeasurePreserving Prod.snd (μ.prod ν) ν := by
refine ⟨measurable_snd, AbsolutelyContinuous.mk fun s hs h2s => ?_⟩
rw [map_apply measurable_snd hs, ← univ_prod, prod_prod, h2s, mul_zero]
#align measure_theory.measure.quasi_measure_preserving_snd MeasureTheory.Measure.quasiMeasurePreserving_snd
lemma set_prod_ae_eq {s s' : Set α} {t t' : Set β} (hs : s =ᵐ[μ] s') (ht : t =ᵐ[ν] t') :
(s ×ˢ t : Set (α × β)) =ᵐ[μ.prod ν] (s' ×ˢ t' : Set (α × β)) :=
(quasiMeasurePreserving_fst.preimage_ae_eq hs).inter
(quasiMeasurePreserving_snd.preimage_ae_eq ht)
lemma measure_prod_compl_eq_zero {s : Set α} {t : Set β}
(s_ae_univ : μ sᶜ = 0) (t_ae_univ : ν tᶜ = 0) :
μ.prod ν (s ×ˢ t)ᶜ = 0 := by
rw [Set.compl_prod_eq_union, measure_union_null_iff]
simp [s_ae_univ, t_ae_univ]
lemma _root_.MeasureTheory.NullMeasurableSet.prod {s : Set α} {t : Set β}
(s_mble : NullMeasurableSet s μ) (t_mble : NullMeasurableSet t ν) :
NullMeasurableSet (s ×ˢ t) (μ.prod ν) :=
let ⟨s₀, mble_s₀, s_aeeq_s₀⟩ := s_mble
let ⟨t₀, mble_t₀, t_aeeq_t₀⟩ := t_mble
⟨s₀ ×ˢ t₀, ⟨mble_s₀.prod mble_t₀, set_prod_ae_eq s_aeeq_s₀ t_aeeq_t₀⟩⟩
lemma _root_.MeasureTheory.NullMeasurableSet.right_of_prod {s : Set α} {t : Set β}
(h : NullMeasurableSet (s ×ˢ t) (μ.prod ν)) (hs : μ s ≠ 0) : NullMeasurableSet t ν := by
rcases h with ⟨u, hum, hu⟩
obtain ⟨x, hxs, hx⟩ : ∃ x ∈ s, (Prod.mk x ⁻¹' (s ×ˢ t)) =ᵐ[ν] (Prod.mk x ⁻¹' u) :=
((frequently_ae_iff.2 hs).and_eventually (ae_ae_eq_curry_of_prod hu)).exists
refine ⟨Prod.mk x ⁻¹' u, measurable_prod_mk_left hum, ?_⟩
rwa [mk_preimage_prod_right hxs] at hx
lemma _root_.MeasureTheory.NullMeasurableSet.of_preimage_snd [NeZero μ] {t : Set β}
(h : NullMeasurableSet (Prod.snd ⁻¹' t) (μ.prod ν)) : NullMeasurableSet t ν :=
.right_of_prod (by rwa [univ_prod]) (NeZero.ne _)
lemma nullMeasurableSet_preimage_snd [NeZero μ] {t : Set β} :
NullMeasurableSet (Prod.snd ⁻¹' t) (μ.prod ν) ↔ NullMeasurableSet t ν :=
⟨.of_preimage_snd, (.preimage · quasiMeasurePreserving_snd)⟩
lemma nullMeasurable_comp_snd [NeZero μ] {f : β → γ} :
NullMeasurable (f ∘ Prod.snd) (μ.prod ν) ↔ NullMeasurable f ν :=
forall₂_congr fun s _ ↦ nullMeasurableSet_preimage_snd (t := f ⁻¹' s)
noncomputable def FiniteSpanningSetsIn.prod {ν : Measure β} {C : Set (Set α)} {D : Set (Set β)}
(hμ : μ.FiniteSpanningSetsIn C) (hν : ν.FiniteSpanningSetsIn D) :
(μ.prod ν).FiniteSpanningSetsIn (image2 (· ×ˢ ·) C D) := by
haveI := hν.sigmaFinite
refine
⟨fun n => hμ.set n.unpair.1 ×ˢ hν.set n.unpair.2, fun n =>
mem_image2_of_mem (hμ.set_mem _) (hν.set_mem _), fun n => ?_, ?_⟩
· rw [prod_prod]
exact mul_lt_top (hμ.finite _).ne (hν.finite _).ne
· simp_rw [iUnion_unpair_prod, hμ.spanning, hν.spanning, univ_prod_univ]
#align measure_theory.measure.finite_spanning_sets_in.prod MeasureTheory.Measure.FiniteSpanningSetsIn.prod
lemma prod_sum_left {ι : Type*} (m : ι → Measure α) (μ : Measure β) [SFinite μ] :
(Measure.sum m).prod μ = Measure.sum (fun i ↦ (m i).prod μ) := by
ext s hs
simp only [prod_apply hs, lintegral_sum_measure, hs, sum_apply, ENNReal.tsum_prod']
#align measure_theory.measure.sum_prod MeasureTheory.Measure.prod_sum_left
lemma prod_sum_right {ι' : Type*} [Countable ι'] (m : Measure α) (m' : ι' → Measure β)
[∀ n, SFinite (m' n)] :
m.prod (Measure.sum m') = Measure.sum (fun p ↦ m.prod (m' p)) := by
ext s hs
simp only [prod_apply hs, lintegral_sum_measure, hs, sum_apply, ENNReal.tsum_prod']
have M : ∀ x, MeasurableSet (Prod.mk x ⁻¹' s) := fun x => measurable_prod_mk_left hs
simp_rw [Measure.sum_apply _ (M _)]
rw [lintegral_tsum (fun i ↦ (measurable_measure_prod_mk_left hs).aemeasurable)]
#align measure_theory.measure.prod_sum MeasureTheory.Measure.prod_sum_right
lemma prod_sum {ι ι' : Type*} [Countable ι'] (m : ι → Measure α) (m' : ι' → Measure β)
[∀ n, SFinite (m' n)] :
(Measure.sum m).prod (Measure.sum m') =
Measure.sum (fun (p : ι × ι') ↦ (m p.1).prod (m' p.2)) := by
simp_rw [prod_sum_left, prod_sum_right, sum_sum]
instance prod.instSigmaFinite {α β : Type*} {_ : MeasurableSpace α} {μ : Measure α}
[SigmaFinite μ] {_ : MeasurableSpace β} {ν : Measure β} [SigmaFinite ν] :
SigmaFinite (μ.prod ν) :=
(μ.toFiniteSpanningSetsIn.prod ν.toFiniteSpanningSetsIn).sigmaFinite
#align measure_theory.measure.prod.sigma_finite MeasureTheory.Measure.prod.instSigmaFinite
instance prod.instSFinite {α β : Type*} {_ : MeasurableSpace α} {μ : Measure α}
[SFinite μ] {_ : MeasurableSpace β} {ν : Measure β} [SFinite ν] :
SFinite (μ.prod ν) := by
have : μ.prod ν =
Measure.sum (fun (p : ℕ × ℕ) ↦ (sFiniteSeq μ p.1).prod (sFiniteSeq ν p.2)) := by
conv_lhs => rw [← sum_sFiniteSeq μ, ← sum_sFiniteSeq ν]
apply prod_sum
rw [this]
infer_instance
instance {α β} [MeasureSpace α] [SigmaFinite (volume : Measure α)]
[MeasureSpace β] [SigmaFinite (volume : Measure β)] : SigmaFinite (volume : Measure (α × β)) :=
prod.instSigmaFinite
instance {α β} [MeasureSpace α] [SFinite (volume : Measure α)]
[MeasureSpace β] [SFinite (volume : Measure β)] : SFinite (volume : Measure (α × β)) :=
prod.instSFinite
theorem prod_eq_generateFrom {μ : Measure α} {ν : Measure β} {C : Set (Set α)} {D : Set (Set β)}
(hC : generateFrom C = ‹_›) (hD : generateFrom D = ‹_›) (h2C : IsPiSystem C)
(h2D : IsPiSystem D) (h3C : μ.FiniteSpanningSetsIn C) (h3D : ν.FiniteSpanningSetsIn D)
{μν : Measure (α × β)} (h₁ : ∀ s ∈ C, ∀ t ∈ D, μν (s ×ˢ t) = μ s * ν t) : μ.prod ν = μν := by
refine
(h3C.prod h3D).ext
(generateFrom_eq_prod hC hD h3C.isCountablySpanning h3D.isCountablySpanning).symm
(h2C.prod h2D) ?_
rintro _ ⟨s, hs, t, ht, rfl⟩
haveI := h3D.sigmaFinite
rw [h₁ s hs t ht, prod_prod]
#align measure_theory.measure.prod_eq_generate_from MeasureTheory.Measure.prod_eq_generateFrom
theorem prod_eq {μ : Measure α} [SigmaFinite μ] {ν : Measure β} [SigmaFinite ν]
{μν : Measure (α × β)}
(h : ∀ s t, MeasurableSet s → MeasurableSet t → μν (s ×ˢ t) = μ s * ν t) : μ.prod ν = μν :=
prod_eq_generateFrom generateFrom_measurableSet generateFrom_measurableSet
isPiSystem_measurableSet isPiSystem_measurableSet μ.toFiniteSpanningSetsIn
ν.toFiniteSpanningSetsIn fun s hs t ht => h s t hs ht
#align measure_theory.measure.prod_eq MeasureTheory.Measure.prod_eq
variable [SFinite μ]
theorem prod_swap : map Prod.swap (μ.prod ν) = ν.prod μ := by
have : sum (fun (i : ℕ × ℕ) ↦ map Prod.swap ((sFiniteSeq μ i.1).prod (sFiniteSeq ν i.2)))
= sum (fun (i : ℕ × ℕ) ↦ map Prod.swap ((sFiniteSeq μ i.2).prod (sFiniteSeq ν i.1))) := by
ext s hs
rw [sum_apply _ hs, sum_apply _ hs]
exact ((Equiv.prodComm ℕ ℕ).tsum_eq _).symm
rw [← sum_sFiniteSeq μ, ← sum_sFiniteSeq ν, prod_sum, prod_sum,
map_sum measurable_swap.aemeasurable, this]
congr 1
ext1 i
refine (prod_eq ?_).symm
intro s t hs ht
simp_rw [map_apply measurable_swap (hs.prod ht), preimage_swap_prod, prod_prod, mul_comm]
#align measure_theory.measure.prod_swap MeasureTheory.Measure.prod_swap
theorem measurePreserving_swap : MeasurePreserving Prod.swap (μ.prod ν) (ν.prod μ) :=
⟨measurable_swap, prod_swap⟩
#align measure_theory.measure.measure_preserving_swap MeasureTheory.Measure.measurePreserving_swap
theorem prod_apply_symm {s : Set (α × β)} (hs : MeasurableSet s) :
μ.prod ν s = ∫⁻ y, μ ((fun x => (x, y)) ⁻¹' s) ∂ν := by
rw [← prod_swap, map_apply measurable_swap hs, prod_apply (measurable_swap hs)]
rfl
#align measure_theory.measure.prod_apply_symm MeasureTheory.Measure.prod_apply_symm
lemma _root_.MeasureTheory.NullMeasurableSet.left_of_prod {s : Set α} {t : Set β}
(h : NullMeasurableSet (s ×ˢ t) (μ.prod ν)) (ht : ν t ≠ 0) : NullMeasurableSet s μ := by
refine .right_of_prod ?_ ht
rw [← preimage_swap_prod]
exact h.preimage measurePreserving_swap.quasiMeasurePreserving
lemma _root_.MeasureTheory.NullMeasurableSet.of_preimage_fst [NeZero ν] {s : Set α}
(h : NullMeasurableSet (Prod.fst ⁻¹' s) (μ.prod ν)) : NullMeasurableSet s μ :=
.left_of_prod (by rwa [prod_univ]) (NeZero.ne _)
lemma nullMeasurableSet_preimage_fst [NeZero ν] {s : Set α} :
NullMeasurableSet (Prod.fst ⁻¹' s) (μ.prod ν) ↔ NullMeasurableSet s μ :=
⟨.of_preimage_fst, (.preimage · quasiMeasurePreserving_fst)⟩
lemma nullMeasurable_comp_fst [NeZero ν] {f : α → γ} :
NullMeasurable (f ∘ Prod.fst) (μ.prod ν) ↔ NullMeasurable f μ :=
forall₂_congr fun s _ ↦ nullMeasurableSet_preimage_fst (s := f ⁻¹' s)
lemma nullMeasurableSet_prod_of_ne_zero {s : Set α} {t : Set β} (hs : μ s ≠ 0) (ht : ν t ≠ 0) :
NullMeasurableSet (s ×ˢ t) (μ.prod ν) ↔ NullMeasurableSet s μ ∧ NullMeasurableSet t ν :=
⟨fun h ↦ ⟨h.left_of_prod ht, h.right_of_prod hs⟩, fun ⟨hs, ht⟩ ↦ hs.prod ht⟩
lemma nullMeasurableSet_prod {s : Set α} {t : Set β} :
NullMeasurableSet (s ×ˢ t) (μ.prod ν) ↔
NullMeasurableSet s μ ∧ NullMeasurableSet t ν ∨ μ s = 0 ∨ ν t = 0 := by
rcases eq_or_ne (μ s) 0 with hs | hs; · simp [NullMeasurableSet.of_null, *]
rcases eq_or_ne (ν t) 0 with ht | ht; · simp [NullMeasurableSet.of_null, *]
simp [*, nullMeasurableSet_prod_of_ne_zero]
theorem prodAssoc_prod [SFinite τ] :
map MeasurableEquiv.prodAssoc ((μ.prod ν).prod τ) = μ.prod (ν.prod τ) := by
have : sum (fun (p : ℕ × ℕ × ℕ) ↦
(sFiniteSeq μ p.1).prod ((sFiniteSeq ν p.2.1).prod (sFiniteSeq τ p.2.2)))
= sum (fun (p : (ℕ × ℕ) × ℕ) ↦
(sFiniteSeq μ p.1.1).prod ((sFiniteSeq ν p.1.2).prod (sFiniteSeq τ p.2))) := by
ext s hs
rw [sum_apply _ hs, sum_apply _ hs, ← (Equiv.prodAssoc _ _ _).tsum_eq]
simp only [Equiv.prodAssoc_apply]
rw [← sum_sFiniteSeq μ, ← sum_sFiniteSeq ν, ← sum_sFiniteSeq τ, prod_sum, prod_sum,
map_sum MeasurableEquiv.prodAssoc.measurable.aemeasurable, prod_sum, prod_sum, this]
congr
ext1 i
refine (prod_eq_generateFrom generateFrom_measurableSet generateFrom_prod
isPiSystem_measurableSet isPiSystem_prod ((sFiniteSeq μ i.1.1)).toFiniteSpanningSetsIn
((sFiniteSeq ν i.1.2).toFiniteSpanningSetsIn.prod (sFiniteSeq τ i.2).toFiniteSpanningSetsIn)
?_).symm
rintro s hs _ ⟨t, ht, u, hu, rfl⟩; rw [mem_setOf_eq] at hs ht hu
simp_rw [map_apply (MeasurableEquiv.measurable _) (hs.prod (ht.prod hu)),
MeasurableEquiv.prodAssoc, MeasurableEquiv.coe_mk, Equiv.prod_assoc_preimage, prod_prod,
mul_assoc]
#align measure_theory.measure.prod_assoc_prod MeasureTheory.Measure.prodAssoc_prod
theorem prod_restrict (s : Set α) (t : Set β) :
(μ.restrict s).prod (ν.restrict t) = (μ.prod ν).restrict (s ×ˢ t) := by
rw [← sum_sFiniteSeq μ, ← sum_sFiniteSeq ν, restrict_sum_of_countable, restrict_sum_of_countable,
prod_sum, prod_sum, restrict_sum_of_countable]
congr 1
ext1 i
refine prod_eq fun s' t' hs' ht' => ?_
rw [restrict_apply (hs'.prod ht'), prod_inter_prod, prod_prod, restrict_apply hs',
restrict_apply ht']
#align measure_theory.measure.prod_restrict MeasureTheory.Measure.prod_restrict
theorem restrict_prod_eq_prod_univ (s : Set α) :
(μ.restrict s).prod ν = (μ.prod ν).restrict (s ×ˢ univ) := by
have : ν = ν.restrict Set.univ := Measure.restrict_univ.symm
rw [this, Measure.prod_restrict, ← this]
#align measure_theory.measure.restrict_prod_eq_prod_univ MeasureTheory.Measure.restrict_prod_eq_prod_univ
theorem prod_dirac (y : β) : μ.prod (dirac y) = map (fun x => (x, y)) μ := by
rw [← sum_sFiniteSeq μ, prod_sum_left, map_sum measurable_prod_mk_right.aemeasurable]
congr
ext1 i
refine prod_eq fun s t hs ht => ?_
simp_rw [map_apply measurable_prod_mk_right (hs.prod ht), mk_preimage_prod_left_eq_if, measure_if,
dirac_apply' _ ht, ← indicator_mul_right _ fun _ => sFiniteSeq μ i s, Pi.one_apply, mul_one]
#align measure_theory.measure.prod_dirac MeasureTheory.Measure.prod_dirac
theorem dirac_prod (x : α) : (dirac x).prod ν = map (Prod.mk x) ν := by
rw [← sum_sFiniteSeq ν, prod_sum_right, map_sum measurable_prod_mk_left.aemeasurable]
congr
ext1 i
refine prod_eq fun s t hs ht => ?_
simp_rw [map_apply measurable_prod_mk_left (hs.prod ht), mk_preimage_prod_right_eq_if, measure_if,
dirac_apply' _ hs, ← indicator_mul_left _ _ fun _ => sFiniteSeq ν i t, Pi.one_apply, one_mul]
#align measure_theory.measure.dirac_prod MeasureTheory.Measure.dirac_prod
theorem dirac_prod_dirac {x : α} {y : β} : (dirac x).prod (dirac y) = dirac (x, y) := by
rw [prod_dirac, map_dirac measurable_prod_mk_right]
#align measure_theory.measure.dirac_prod_dirac MeasureTheory.Measure.dirac_prod_dirac
| Mathlib/MeasureTheory/Constructions/Prod/Basic.lean | 789 | 795 | theorem prod_add (ν' : Measure β) [SFinite ν'] : μ.prod (ν + ν') = μ.prod ν + μ.prod ν' := by |
simp_rw [← sum_sFiniteSeq ν, ← sum_sFiniteSeq ν', sum_add_sum, ← sum_sFiniteSeq μ, prod_sum,
sum_add_sum]
congr
ext1 i
refine prod_eq fun s t _ _ => ?_
simp_rw [add_apply, prod_prod, left_distrib]
|
import Mathlib.Algebra.BigOperators.Ring.List
import Mathlib.Data.Nat.ModEq
import Mathlib.Data.Nat.GCD.BigOperators
namespace Nat
variable {ι : Type*}
lemma modEq_list_prod_iff {a b} {l : List ℕ} (co : l.Pairwise Coprime) :
a ≡ b [MOD l.prod] ↔ ∀ i, a ≡ b [MOD l.get i] := by
induction' l with m l ih
· simp [modEq_one]
· have : Coprime m l.prod := coprime_list_prod_right_iff.mpr (List.pairwise_cons.mp co).1
simp only [List.prod_cons, ← modEq_and_modEq_iff_modEq_mul this, ih (List.Pairwise.of_cons co),
List.length_cons]
constructor
· rintro ⟨h0, hs⟩ i
cases i using Fin.cases <;> simp [h0, hs]
· intro h; exact ⟨h 0, fun i => h i.succ⟩
lemma modEq_list_prod_iff' {a b} {s : ι → ℕ} {l : List ι} (co : l.Pairwise (Coprime on s)) :
a ≡ b [MOD (l.map s).prod] ↔ ∀ i ∈ l, a ≡ b [MOD s i] := by
induction' l with i l ih
· simp [modEq_one]
· have : Coprime (s i) (l.map s).prod := by
simp only [coprime_list_prod_right_iff, List.mem_map, forall_exists_index, and_imp,
forall_apply_eq_imp_iff₂]
intro j hj
exact (List.pairwise_cons.mp co).1 j hj
simp [← modEq_and_modEq_iff_modEq_mul this, ih (List.Pairwise.of_cons co)]
variable (a s : ι → ℕ)
def chineseRemainderOfList : (l : List ι) → l.Pairwise (Coprime on s) →
{ k // ∀ i ∈ l, k ≡ a i [MOD s i] }
| [], _ => ⟨0, by simp⟩
| i :: l, co => by
have : Coprime (s i) (l.map s).prod := by
simp only [coprime_list_prod_right_iff, List.mem_map, forall_exists_index, and_imp,
forall_apply_eq_imp_iff₂]
intro j hj
exact (List.pairwise_cons.mp co).1 j hj
have ih := chineseRemainderOfList l co.of_cons
have k := chineseRemainder this (a i) ih
use k
simp only [List.mem_cons, forall_eq_or_imp, k.prop.1, true_and]
intro j hj
exact ((modEq_list_prod_iff' co.of_cons).mp k.prop.2 j hj).trans (ih.prop j hj)
@[simp] theorem chineseRemainderOfList_nil :
(chineseRemainderOfList a s [] List.Pairwise.nil : ℕ) = 0 := rfl
theorem chineseRemainderOfList_lt_prod (l : List ι)
(co : l.Pairwise (Coprime on s)) (hs : ∀ i ∈ l, s i ≠ 0) :
chineseRemainderOfList a s l co < (l.map s).prod := by
cases l with
| nil => simp
| cons i l =>
simp only [chineseRemainderOfList, List.map_cons, List.prod_cons]
have : Coprime (s i) (l.map s).prod := by
simp only [coprime_list_prod_right_iff, List.mem_map, forall_exists_index, and_imp,
forall_apply_eq_imp_iff₂]
intro j hj
exact (List.pairwise_cons.mp co).1 j hj
refine chineseRemainder_lt_mul this (a i) (chineseRemainderOfList a s l co.of_cons)
(hs i (List.mem_cons_self _ l)) ?_
simp only [ne_eq, List.prod_eq_zero_iff, List.mem_map, not_exists, not_and]
intro j hj
exact hs j (List.mem_cons_of_mem _ hj)
theorem chineseRemainderOfList_modEq_unique (l : List ι)
(co : l.Pairwise (Coprime on s)) {z} (hz : ∀ i ∈ l, z ≡ a i [MOD s i]) :
z ≡ chineseRemainderOfList a s l co [MOD (l.map s).prod] := by
induction' l with i l ih
· simp [modEq_one]
· simp only [List.map_cons, List.prod_cons, chineseRemainderOfList]
have : Coprime (s i) (l.map s).prod := by
simp only [coprime_list_prod_right_iff, List.mem_map, forall_exists_index, and_imp,
forall_apply_eq_imp_iff₂]
intro j hj
exact (List.pairwise_cons.mp co).1 j hj
exact chineseRemainder_modEq_unique this
(hz i (List.mem_cons_self _ _)) (ih co.of_cons (fun j hj => hz j (List.mem_cons_of_mem _ hj)))
theorem chineseRemainderOfList_perm {l l' : List ι} (hl : l.Perm l')
(hs : ∀ i ∈ l, s i ≠ 0) (co : l.Pairwise (Coprime on s)) :
(chineseRemainderOfList a s l co : ℕ) =
chineseRemainderOfList a s l' (co.perm hl coprime_comm.mpr) := by
let z := chineseRemainderOfList a s l' (co.perm hl coprime_comm.mpr)
have hlp : (l.map s).prod = (l'.map s).prod := List.Perm.prod_eq (List.Perm.map s hl)
exact (chineseRemainderOfList_modEq_unique a s l co (z := z)
(fun i hi => z.prop i (hl.symm.mem_iff.mpr hi))).symm.eq_of_lt_of_lt
(chineseRemainderOfList_lt_prod _ _ _ _ hs)
(by rw [hlp]
exact chineseRemainderOfList_lt_prod _ _ _ _
(by simpa [List.Perm.mem_iff hl.symm] using hs))
def chineseRemainderOfMultiset {m : Multiset ι} :
m.Nodup → (∀ i ∈ m, s i ≠ 0) → Set.Pairwise {x | x ∈ m} (Coprime on s) →
{ k // ∀ i ∈ m, k ≡ a i [MOD s i] } :=
Quotient.recOn m
(fun l nod _ co =>
chineseRemainderOfList a s l (List.Nodup.pairwise_of_forall_ne nod co))
(fun l l' (pp : l.Perm l') ↦
funext fun nod' : l'.Nodup =>
have nod : l.Nodup := pp.symm.nodup_iff.mp nod'
funext fun hs' : ∀ i ∈ l', s i ≠ 0 =>
have hs : ∀ i ∈ l, s i ≠ 0 := by simpa [List.Perm.mem_iff pp] using hs'
funext fun co' : Set.Pairwise {x | x ∈ l'} (Coprime on s) =>
have co : Set.Pairwise {x | x ∈ l} (Coprime on s) := by simpa [List.Perm.mem_iff pp] using co'
have lco : l.Pairwise (Coprime on s) := List.Nodup.pairwise_of_forall_ne nod co
have : ∀ {m' e nod'' hs'' co''}, @Eq.ndrec (Multiset ι) l
(fun m ↦ m.Nodup → (∀ i ∈ m, s i ≠ 0) →
Set.Pairwise {x | x ∈ m} (Coprime on s) → { k // ∀ i ∈ m, k ≡ a i [MOD s i] })
(fun nod _ co ↦ chineseRemainderOfList a s l (List.Nodup.pairwise_of_forall_ne nod co))
m' e nod'' hs'' co'' =
(chineseRemainderOfList a s l lco : ℕ) := by
rintro _ rfl _ _ _; rfl
by ext; exact this.trans <| chineseRemainderOfList_perm a s pp hs lco)
theorem chineseRemainderOfMultiset_lt_prod {m : Multiset ι}
(nod : m.Nodup) (hs : ∀ i ∈ m, s i ≠ 0) (pp : Set.Pairwise {x | x ∈ m} (Coprime on s)) :
chineseRemainderOfMultiset a s nod hs pp < (m.map s).prod := by
induction' m using Quot.ind with l
unfold chineseRemainderOfMultiset; simp
exact chineseRemainderOfList_lt_prod a s l
(List.Nodup.pairwise_of_forall_ne nod pp) (by simpa using hs)
def chineseRemainderOfFinset (t : Finset ι)
(hs : ∀ i ∈ t, s i ≠ 0) (pp : Set.Pairwise t (Coprime on s)) :
{ k // ∀ i ∈ t, k ≡ a i [MOD s i] } := by
simpa using chineseRemainderOfMultiset a s t.nodup (by simpa using hs) (by simpa using pp)
| Mathlib/Data/Nat/ChineseRemainder.lean | 160 | 164 | theorem chineseRemainderOfFinset_lt_prod {t : Finset ι}
(hs : ∀ i ∈ t, s i ≠ 0) (pp : Set.Pairwise t (Coprime on s)) :
chineseRemainderOfFinset a s t hs pp < ∏ i ∈ t, s i := by |
simpa [chineseRemainderOfFinset] using
chineseRemainderOfMultiset_lt_prod a s t.nodup (by simpa using hs) (by simpa using pp)
|
import Mathlib.Analysis.InnerProductSpace.TwoDim
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic
#align_import geometry.euclidean.angle.oriented.basic from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
noncomputable section
open FiniteDimensional Complex
open scoped Real RealInnerProductSpace ComplexConjugate
namespace Orientation
attribute [local instance] Complex.finrank_real_complex_fact
variable {V V' : Type*}
variable [NormedAddCommGroup V] [NormedAddCommGroup V']
variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V']
variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2))
local notation "ω" => o.areaForm
def oangle (x y : V) : Real.Angle :=
Complex.arg (o.kahler x y)
#align orientation.oangle Orientation.oangle
theorem continuousAt_oangle {x : V × V} (hx1 : x.1 ≠ 0) (hx2 : x.2 ≠ 0) :
ContinuousAt (fun y : V × V => o.oangle y.1 y.2) x := by
refine (Complex.continuousAt_arg_coe_angle ?_).comp ?_
· exact o.kahler_ne_zero hx1 hx2
exact ((continuous_ofReal.comp continuous_inner).add
((continuous_ofReal.comp o.areaForm'.continuous₂).mul continuous_const)).continuousAt
#align orientation.continuous_at_oangle Orientation.continuousAt_oangle
@[simp]
theorem oangle_zero_left (x : V) : o.oangle 0 x = 0 := by simp [oangle]
#align orientation.oangle_zero_left Orientation.oangle_zero_left
@[simp]
theorem oangle_zero_right (x : V) : o.oangle x 0 = 0 := by simp [oangle]
#align orientation.oangle_zero_right Orientation.oangle_zero_right
@[simp]
theorem oangle_self (x : V) : o.oangle x x = 0 := by
rw [oangle, kahler_apply_self, ← ofReal_pow]
convert QuotientAddGroup.mk_zero (AddSubgroup.zmultiples (2 * π))
apply arg_ofReal_of_nonneg
positivity
#align orientation.oangle_self Orientation.oangle_self
theorem left_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ 0 := by
rintro rfl; simp at h
#align orientation.left_ne_zero_of_oangle_ne_zero Orientation.left_ne_zero_of_oangle_ne_zero
theorem right_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : y ≠ 0 := by
rintro rfl; simp at h
#align orientation.right_ne_zero_of_oangle_ne_zero Orientation.right_ne_zero_of_oangle_ne_zero
theorem ne_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ y := by
rintro rfl; simp at h
#align orientation.ne_of_oangle_ne_zero Orientation.ne_of_oangle_ne_zero
theorem left_ne_zero_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
#align orientation.left_ne_zero_of_oangle_eq_pi Orientation.left_ne_zero_of_oangle_eq_pi
theorem right_ne_zero_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
#align orientation.right_ne_zero_of_oangle_eq_pi Orientation.right_ne_zero_of_oangle_eq_pi
theorem ne_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
#align orientation.ne_of_oangle_eq_pi Orientation.ne_of_oangle_eq_pi
theorem left_ne_zero_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.left_ne_zero_of_oangle_eq_pi_div_two Orientation.left_ne_zero_of_oangle_eq_pi_div_two
theorem right_ne_zero_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.right_ne_zero_of_oangle_eq_pi_div_two Orientation.right_ne_zero_of_oangle_eq_pi_div_two
theorem ne_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.ne_of_oangle_eq_pi_div_two Orientation.ne_of_oangle_eq_pi_div_two
theorem left_ne_zero_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) :
x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.left_ne_zero_of_oangle_eq_neg_pi_div_two Orientation.left_ne_zero_of_oangle_eq_neg_pi_div_two
theorem right_ne_zero_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) :
y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.right_ne_zero_of_oangle_eq_neg_pi_div_two Orientation.right_ne_zero_of_oangle_eq_neg_pi_div_two
theorem ne_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.ne_of_oangle_eq_neg_pi_div_two Orientation.ne_of_oangle_eq_neg_pi_div_two
theorem left_ne_zero_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align orientation.left_ne_zero_of_oangle_sign_ne_zero Orientation.left_ne_zero_of_oangle_sign_ne_zero
theorem right_ne_zero_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align orientation.right_ne_zero_of_oangle_sign_ne_zero Orientation.right_ne_zero_of_oangle_sign_ne_zero
theorem ne_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : x ≠ y :=
o.ne_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align orientation.ne_of_oangle_sign_ne_zero Orientation.ne_of_oangle_sign_ne_zero
theorem left_ne_zero_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : x ≠ 0 :=
o.left_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.left_ne_zero_of_oangle_sign_eq_one Orientation.left_ne_zero_of_oangle_sign_eq_one
theorem right_ne_zero_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : y ≠ 0 :=
o.right_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.right_ne_zero_of_oangle_sign_eq_one Orientation.right_ne_zero_of_oangle_sign_eq_one
theorem ne_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : x ≠ y :=
o.ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.ne_of_oangle_sign_eq_one Orientation.ne_of_oangle_sign_eq_one
theorem left_ne_zero_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : x ≠ 0 :=
o.left_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.left_ne_zero_of_oangle_sign_eq_neg_one Orientation.left_ne_zero_of_oangle_sign_eq_neg_one
theorem right_ne_zero_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : y ≠ 0 :=
o.right_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.right_ne_zero_of_oangle_sign_eq_neg_one Orientation.right_ne_zero_of_oangle_sign_eq_neg_one
theorem ne_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : x ≠ y :=
o.ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.ne_of_oangle_sign_eq_neg_one Orientation.ne_of_oangle_sign_eq_neg_one
theorem oangle_rev (x y : V) : o.oangle y x = -o.oangle x y := by
simp only [oangle, o.kahler_swap y x, Complex.arg_conj_coe_angle]
#align orientation.oangle_rev Orientation.oangle_rev
@[simp]
theorem oangle_add_oangle_rev (x y : V) : o.oangle x y + o.oangle y x = 0 := by
simp [o.oangle_rev y x]
#align orientation.oangle_add_oangle_rev Orientation.oangle_add_oangle_rev
theorem oangle_neg_left {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) :
o.oangle (-x) y = o.oangle x y + π := by
simp only [oangle, map_neg]
convert Complex.arg_neg_coe_angle _
exact o.kahler_ne_zero hx hy
#align orientation.oangle_neg_left Orientation.oangle_neg_left
theorem oangle_neg_right {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) :
o.oangle x (-y) = o.oangle x y + π := by
simp only [oangle, map_neg]
convert Complex.arg_neg_coe_angle _
exact o.kahler_ne_zero hx hy
#align orientation.oangle_neg_right Orientation.oangle_neg_right
@[simp]
theorem two_zsmul_oangle_neg_left (x y : V) :
(2 : ℤ) • o.oangle (-x) y = (2 : ℤ) • o.oangle x y := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [o.oangle_neg_left hx hy]
#align orientation.two_zsmul_oangle_neg_left Orientation.two_zsmul_oangle_neg_left
@[simp]
theorem two_zsmul_oangle_neg_right (x y : V) :
(2 : ℤ) • o.oangle x (-y) = (2 : ℤ) • o.oangle x y := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [o.oangle_neg_right hx hy]
#align orientation.two_zsmul_oangle_neg_right Orientation.two_zsmul_oangle_neg_right
@[simp]
theorem oangle_neg_neg (x y : V) : o.oangle (-x) (-y) = o.oangle x y := by simp [oangle]
#align orientation.oangle_neg_neg Orientation.oangle_neg_neg
theorem oangle_neg_left_eq_neg_right (x y : V) : o.oangle (-x) y = o.oangle x (-y) := by
rw [← neg_neg y, oangle_neg_neg, neg_neg]
#align orientation.oangle_neg_left_eq_neg_right Orientation.oangle_neg_left_eq_neg_right
@[simp]
theorem oangle_neg_self_left {x : V} (hx : x ≠ 0) : o.oangle (-x) x = π := by
simp [oangle_neg_left, hx]
#align orientation.oangle_neg_self_left Orientation.oangle_neg_self_left
@[simp]
theorem oangle_neg_self_right {x : V} (hx : x ≠ 0) : o.oangle x (-x) = π := by
simp [oangle_neg_right, hx]
#align orientation.oangle_neg_self_right Orientation.oangle_neg_self_right
-- @[simp] -- Porting note (#10618): simp can prove this
theorem two_zsmul_oangle_neg_self_left (x : V) : (2 : ℤ) • o.oangle (-x) x = 0 := by
by_cases hx : x = 0 <;> simp [hx]
#align orientation.two_zsmul_oangle_neg_self_left Orientation.two_zsmul_oangle_neg_self_left
-- @[simp] -- Porting note (#10618): simp can prove this
theorem two_zsmul_oangle_neg_self_right (x : V) : (2 : ℤ) • o.oangle x (-x) = 0 := by
by_cases hx : x = 0 <;> simp [hx]
#align orientation.two_zsmul_oangle_neg_self_right Orientation.two_zsmul_oangle_neg_self_right
@[simp]
theorem oangle_add_oangle_rev_neg_left (x y : V) : o.oangle (-x) y + o.oangle (-y) x = 0 := by
rw [oangle_neg_left_eq_neg_right, oangle_rev, add_left_neg]
#align orientation.oangle_add_oangle_rev_neg_left Orientation.oangle_add_oangle_rev_neg_left
@[simp]
theorem oangle_add_oangle_rev_neg_right (x y : V) : o.oangle x (-y) + o.oangle y (-x) = 0 := by
rw [o.oangle_rev (-x), oangle_neg_left_eq_neg_right, add_neg_self]
#align orientation.oangle_add_oangle_rev_neg_right Orientation.oangle_add_oangle_rev_neg_right
@[simp]
| Mathlib/Geometry/Euclidean/Angle/Oriented/Basic.lean | 292 | 293 | theorem oangle_smul_left_of_pos (x y : V) {r : ℝ} (hr : 0 < r) :
o.oangle (r • x) y = o.oangle x y := by | simp [oangle, Complex.arg_real_mul _ hr]
|
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Algebra.Group.Int
import Mathlib.Data.Nat.Dist
import Mathlib.Data.Ordmap.Ordnode
import Mathlib.Tactic.Abel
import Mathlib.Tactic.Linarith
#align_import data.ordmap.ordset from "leanprover-community/mathlib"@"47b51515e69f59bca5cf34ef456e6000fe205a69"
variable {α : Type*}
namespace Ordnode
theorem not_le_delta {s} (H : 1 ≤ s) : ¬s ≤ delta * 0 :=
not_le_of_gt H
#align ordnode.not_le_delta Ordnode.not_le_delta
theorem delta_lt_false {a b : ℕ} (h₁ : delta * a < b) (h₂ : delta * b < a) : False :=
not_le_of_lt (lt_trans ((mul_lt_mul_left (by decide)).2 h₁) h₂) <| by
simpa [mul_assoc] using Nat.mul_le_mul_right a (by decide : 1 ≤ delta * delta)
#align ordnode.delta_lt_false Ordnode.delta_lt_false
def realSize : Ordnode α → ℕ
| nil => 0
| node _ l _ r => realSize l + realSize r + 1
#align ordnode.real_size Ordnode.realSize
def Sized : Ordnode α → Prop
| nil => True
| node s l _ r => s = size l + size r + 1 ∧ Sized l ∧ Sized r
#align ordnode.sized Ordnode.Sized
theorem Sized.node' {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (node' l x r) :=
⟨rfl, hl, hr⟩
#align ordnode.sized.node' Ordnode.Sized.node'
theorem Sized.eq_node' {s l x r} (h : @Sized α (node s l x r)) : node s l x r = .node' l x r := by
rw [h.1]
#align ordnode.sized.eq_node' Ordnode.Sized.eq_node'
theorem Sized.size_eq {s l x r} (H : Sized (@node α s l x r)) :
size (@node α s l x r) = size l + size r + 1 :=
H.1
#align ordnode.sized.size_eq Ordnode.Sized.size_eq
@[elab_as_elim]
theorem Sized.induction {t} (hl : @Sized α t) {C : Ordnode α → Prop} (H0 : C nil)
(H1 : ∀ l x r, C l → C r → C (.node' l x r)) : C t := by
induction t with
| nil => exact H0
| node _ _ _ _ t_ih_l t_ih_r =>
rw [hl.eq_node']
exact H1 _ _ _ (t_ih_l hl.2.1) (t_ih_r hl.2.2)
#align ordnode.sized.induction Ordnode.Sized.induction
theorem size_eq_realSize : ∀ {t : Ordnode α}, Sized t → size t = realSize t
| nil, _ => rfl
| node s l x r, ⟨h₁, h₂, h₃⟩ => by
rw [size, h₁, size_eq_realSize h₂, size_eq_realSize h₃]; rfl
#align ordnode.size_eq_real_size Ordnode.size_eq_realSize
@[simp]
theorem Sized.size_eq_zero {t : Ordnode α} (ht : Sized t) : size t = 0 ↔ t = nil := by
cases t <;> [simp;simp [ht.1]]
#align ordnode.sized.size_eq_zero Ordnode.Sized.size_eq_zero
theorem Sized.pos {s l x r} (h : Sized (@node α s l x r)) : 0 < s := by
rw [h.1]; apply Nat.le_add_left
#align ordnode.sized.pos Ordnode.Sized.pos
theorem dual_dual : ∀ t : Ordnode α, dual (dual t) = t
| nil => rfl
| node s l x r => by rw [dual, dual, dual_dual l, dual_dual r]
#align ordnode.dual_dual Ordnode.dual_dual
@[simp]
theorem size_dual (t : Ordnode α) : size (dual t) = size t := by cases t <;> rfl
#align ordnode.size_dual Ordnode.size_dual
def BalancedSz (l r : ℕ) : Prop :=
l + r ≤ 1 ∨ l ≤ delta * r ∧ r ≤ delta * l
#align ordnode.balanced_sz Ordnode.BalancedSz
instance BalancedSz.dec : DecidableRel BalancedSz := fun _ _ => Or.decidable
#align ordnode.balanced_sz.dec Ordnode.BalancedSz.dec
def Balanced : Ordnode α → Prop
| nil => True
| node _ l _ r => BalancedSz (size l) (size r) ∧ Balanced l ∧ Balanced r
#align ordnode.balanced Ordnode.Balanced
instance Balanced.dec : DecidablePred (@Balanced α)
| nil => by
unfold Balanced
infer_instance
| node _ l _ r => by
unfold Balanced
haveI := Balanced.dec l
haveI := Balanced.dec r
infer_instance
#align ordnode.balanced.dec Ordnode.Balanced.dec
@[symm]
theorem BalancedSz.symm {l r : ℕ} : BalancedSz l r → BalancedSz r l :=
Or.imp (by rw [add_comm]; exact id) And.symm
#align ordnode.balanced_sz.symm Ordnode.BalancedSz.symm
theorem balancedSz_zero {l : ℕ} : BalancedSz l 0 ↔ l ≤ 1 := by
simp (config := { contextual := true }) [BalancedSz]
#align ordnode.balanced_sz_zero Ordnode.balancedSz_zero
theorem balancedSz_up {l r₁ r₂ : ℕ} (h₁ : r₁ ≤ r₂) (h₂ : l + r₂ ≤ 1 ∨ r₂ ≤ delta * l)
(H : BalancedSz l r₁) : BalancedSz l r₂ := by
refine or_iff_not_imp_left.2 fun h => ?_
refine ⟨?_, h₂.resolve_left h⟩
cases H with
| inl H =>
cases r₂
· cases h (le_trans (Nat.add_le_add_left (Nat.zero_le _) _) H)
· exact le_trans (le_trans (Nat.le_add_right _ _) H) (Nat.le_add_left 1 _)
| inr H =>
exact le_trans H.1 (Nat.mul_le_mul_left _ h₁)
#align ordnode.balanced_sz_up Ordnode.balancedSz_up
theorem balancedSz_down {l r₁ r₂ : ℕ} (h₁ : r₁ ≤ r₂) (h₂ : l + r₂ ≤ 1 ∨ l ≤ delta * r₁)
(H : BalancedSz l r₂) : BalancedSz l r₁ :=
have : l + r₂ ≤ 1 → BalancedSz l r₁ := fun H => Or.inl (le_trans (Nat.add_le_add_left h₁ _) H)
Or.casesOn H this fun H => Or.casesOn h₂ this fun h₂ => Or.inr ⟨h₂, le_trans h₁ H.2⟩
#align ordnode.balanced_sz_down Ordnode.balancedSz_down
theorem Balanced.dual : ∀ {t : Ordnode α}, Balanced t → Balanced (dual t)
| nil, _ => ⟨⟩
| node _ l _ r, ⟨b, bl, br⟩ => ⟨by rw [size_dual, size_dual]; exact b.symm, br.dual, bl.dual⟩
#align ordnode.balanced.dual Ordnode.Balanced.dual
def node3L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : Ordnode α :=
node' (node' l x m) y r
#align ordnode.node3_l Ordnode.node3L
def node3R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : Ordnode α :=
node' l x (node' m y r)
#align ordnode.node3_r Ordnode.node3R
def node4L : Ordnode α → α → Ordnode α → α → Ordnode α → Ordnode α
| l, x, node _ ml y mr, z, r => node' (node' l x ml) y (node' mr z r)
| l, x, nil, z, r => node3L l x nil z r
#align ordnode.node4_l Ordnode.node4L
-- should not happen
def node4R : Ordnode α → α → Ordnode α → α → Ordnode α → Ordnode α
| l, x, node _ ml y mr, z, r => node' (node' l x ml) y (node' mr z r)
| l, x, nil, z, r => node3R l x nil z r
#align ordnode.node4_r Ordnode.node4R
-- should not happen
def rotateL : Ordnode α → α → Ordnode α → Ordnode α
| l, x, node _ m y r => if size m < ratio * size r then node3L l x m y r else node4L l x m y r
| l, x, nil => node' l x nil
#align ordnode.rotate_l Ordnode.rotateL
-- Porting note (#11467): during the port we marked these lemmas with `@[eqns]`
-- to emulate the old Lean 3 behaviour.
theorem rotateL_node (l : Ordnode α) (x : α) (sz : ℕ) (m : Ordnode α) (y : α) (r : Ordnode α) :
rotateL l x (node sz m y r) =
if size m < ratio * size r then node3L l x m y r else node4L l x m y r :=
rfl
theorem rotateL_nil (l : Ordnode α) (x : α) : rotateL l x nil = node' l x nil :=
rfl
-- should not happen
def rotateR : Ordnode α → α → Ordnode α → Ordnode α
| node _ l x m, y, r => if size m < ratio * size l then node3R l x m y r else node4R l x m y r
| nil, y, r => node' nil y r
#align ordnode.rotate_r Ordnode.rotateR
-- Porting note (#11467): during the port we marked these lemmas with `@[eqns]`
-- to emulate the old Lean 3 behaviour.
theorem rotateR_node (sz : ℕ) (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
rotateR (node sz l x m) y r =
if size m < ratio * size l then node3R l x m y r else node4R l x m y r :=
rfl
theorem rotateR_nil (y : α) (r : Ordnode α) : rotateR nil y r = node' nil y r :=
rfl
-- should not happen
def balanceL' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α :=
if size l + size r ≤ 1 then node' l x r
else if size l > delta * size r then rotateR l x r else node' l x r
#align ordnode.balance_l' Ordnode.balanceL'
def balanceR' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α :=
if size l + size r ≤ 1 then node' l x r
else if size r > delta * size l then rotateL l x r else node' l x r
#align ordnode.balance_r' Ordnode.balanceR'
def balance' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α :=
if size l + size r ≤ 1 then node' l x r
else
if size r > delta * size l then rotateL l x r
else if size l > delta * size r then rotateR l x r else node' l x r
#align ordnode.balance' Ordnode.balance'
theorem dual_node' (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (node' l x r) = node' (dual r) x (dual l) := by simp [node', add_comm]
#align ordnode.dual_node' Ordnode.dual_node'
theorem dual_node3L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node3L l x m y r) = node3R (dual r) y (dual m) x (dual l) := by
simp [node3L, node3R, dual_node', add_comm]
#align ordnode.dual_node3_l Ordnode.dual_node3L
theorem dual_node3R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node3R l x m y r) = node3L (dual r) y (dual m) x (dual l) := by
simp [node3L, node3R, dual_node', add_comm]
#align ordnode.dual_node3_r Ordnode.dual_node3R
theorem dual_node4L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node4L l x m y r) = node4R (dual r) y (dual m) x (dual l) := by
cases m <;> simp [node4L, node4R, node3R, dual_node3L, dual_node', add_comm]
#align ordnode.dual_node4_l Ordnode.dual_node4L
theorem dual_node4R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node4R l x m y r) = node4L (dual r) y (dual m) x (dual l) := by
cases m <;> simp [node4L, node4R, node3L, dual_node3R, dual_node', add_comm]
#align ordnode.dual_node4_r Ordnode.dual_node4R
theorem dual_rotateL (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (rotateL l x r) = rotateR (dual r) x (dual l) := by
cases r <;> simp [rotateL, rotateR, dual_node']; split_ifs <;>
simp [dual_node3L, dual_node4L, node3R, add_comm]
#align ordnode.dual_rotate_l Ordnode.dual_rotateL
theorem dual_rotateR (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (rotateR l x r) = rotateL (dual r) x (dual l) := by
rw [← dual_dual (rotateL _ _ _), dual_rotateL, dual_dual, dual_dual]
#align ordnode.dual_rotate_r Ordnode.dual_rotateR
theorem dual_balance' (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (balance' l x r) = balance' (dual r) x (dual l) := by
simp [balance', add_comm]; split_ifs with h h_1 h_2 <;>
simp [dual_node', dual_rotateL, dual_rotateR, add_comm]
cases delta_lt_false h_1 h_2
#align ordnode.dual_balance' Ordnode.dual_balance'
theorem dual_balanceL (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (balanceL l x r) = balanceR (dual r) x (dual l) := by
unfold balanceL balanceR
cases' r with rs rl rx rr
· cases' l with ls ll lx lr; · rfl
cases' ll with lls lll llx llr <;> cases' lr with lrs lrl lrx lrr <;> dsimp only [dual, id] <;>
try rfl
split_ifs with h <;> repeat simp [h, add_comm]
· cases' l with ls ll lx lr; · rfl
dsimp only [dual, id]
split_ifs; swap; · simp [add_comm]
cases' ll with lls lll llx llr <;> cases' lr with lrs lrl lrx lrr <;> try rfl
dsimp only [dual, id]
split_ifs with h <;> simp [h, add_comm]
#align ordnode.dual_balance_l Ordnode.dual_balanceL
theorem dual_balanceR (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (balanceR l x r) = balanceL (dual r) x (dual l) := by
rw [← dual_dual (balanceL _ _ _), dual_balanceL, dual_dual, dual_dual]
#align ordnode.dual_balance_r Ordnode.dual_balanceR
theorem Sized.node3L {l x m y r} (hl : @Sized α l) (hm : Sized m) (hr : Sized r) :
Sized (node3L l x m y r) :=
(hl.node' hm).node' hr
#align ordnode.sized.node3_l Ordnode.Sized.node3L
theorem Sized.node3R {l x m y r} (hl : @Sized α l) (hm : Sized m) (hr : Sized r) :
Sized (node3R l x m y r) :=
hl.node' (hm.node' hr)
#align ordnode.sized.node3_r Ordnode.Sized.node3R
theorem Sized.node4L {l x m y r} (hl : @Sized α l) (hm : Sized m) (hr : Sized r) :
Sized (node4L l x m y r) := by
cases m <;> [exact (hl.node' hm).node' hr; exact (hl.node' hm.2.1).node' (hm.2.2.node' hr)]
#align ordnode.sized.node4_l Ordnode.Sized.node4L
theorem node3L_size {l x m y r} : size (@node3L α l x m y r) = size l + size m + size r + 2 := by
dsimp [node3L, node', size]; rw [add_right_comm _ 1]
#align ordnode.node3_l_size Ordnode.node3L_size
theorem node3R_size {l x m y r} : size (@node3R α l x m y r) = size l + size m + size r + 2 := by
dsimp [node3R, node', size]; rw [← add_assoc, ← add_assoc]
#align ordnode.node3_r_size Ordnode.node3R_size
theorem node4L_size {l x m y r} (hm : Sized m) :
size (@node4L α l x m y r) = size l + size m + size r + 2 := by
cases m <;> simp [node4L, node3L, node'] <;> [abel; (simp [size, hm.1]; abel)]
#align ordnode.node4_l_size Ordnode.node4L_size
theorem Sized.dual : ∀ {t : Ordnode α}, Sized t → Sized (dual t)
| nil, _ => ⟨⟩
| node _ l _ r, ⟨rfl, sl, sr⟩ => ⟨by simp [size_dual, add_comm], Sized.dual sr, Sized.dual sl⟩
#align ordnode.sized.dual Ordnode.Sized.dual
theorem Sized.dual_iff {t : Ordnode α} : Sized (.dual t) ↔ Sized t :=
⟨fun h => by rw [← dual_dual t]; exact h.dual, Sized.dual⟩
#align ordnode.sized.dual_iff Ordnode.Sized.dual_iff
theorem Sized.rotateL {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (rotateL l x r) := by
cases r; · exact hl.node' hr
rw [Ordnode.rotateL_node]; split_ifs
· exact hl.node3L hr.2.1 hr.2.2
· exact hl.node4L hr.2.1 hr.2.2
#align ordnode.sized.rotate_l Ordnode.Sized.rotateL
theorem Sized.rotateR {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (rotateR l x r) :=
Sized.dual_iff.1 <| by rw [dual_rotateR]; exact hr.dual.rotateL hl.dual
#align ordnode.sized.rotate_r Ordnode.Sized.rotateR
theorem Sized.rotateL_size {l x r} (hm : Sized r) :
size (@Ordnode.rotateL α l x r) = size l + size r + 1 := by
cases r <;> simp [Ordnode.rotateL]
simp only [hm.1]
split_ifs <;> simp [node3L_size, node4L_size hm.2.1] <;> abel
#align ordnode.sized.rotate_l_size Ordnode.Sized.rotateL_size
theorem Sized.rotateR_size {l x r} (hl : Sized l) :
size (@Ordnode.rotateR α l x r) = size l + size r + 1 := by
rw [← size_dual, dual_rotateR, hl.dual.rotateL_size, size_dual, size_dual, add_comm (size l)]
#align ordnode.sized.rotate_r_size Ordnode.Sized.rotateR_size
theorem Sized.balance' {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (balance' l x r) := by
unfold balance'; split_ifs
· exact hl.node' hr
· exact hl.rotateL hr
· exact hl.rotateR hr
· exact hl.node' hr
#align ordnode.sized.balance' Ordnode.Sized.balance'
theorem size_balance' {l x r} (hl : @Sized α l) (hr : Sized r) :
size (@balance' α l x r) = size l + size r + 1 := by
unfold balance'; split_ifs
· rfl
· exact hr.rotateL_size
· exact hl.rotateR_size
· rfl
#align ordnode.size_balance' Ordnode.size_balance'
theorem All.imp {P Q : α → Prop} (H : ∀ a, P a → Q a) : ∀ {t}, All P t → All Q t
| nil, _ => ⟨⟩
| node _ _ _ _, ⟨h₁, h₂, h₃⟩ => ⟨h₁.imp H, H _ h₂, h₃.imp H⟩
#align ordnode.all.imp Ordnode.All.imp
theorem Any.imp {P Q : α → Prop} (H : ∀ a, P a → Q a) : ∀ {t}, Any P t → Any Q t
| nil => id
| node _ _ _ _ => Or.imp (Any.imp H) <| Or.imp (H _) (Any.imp H)
#align ordnode.any.imp Ordnode.Any.imp
theorem all_singleton {P : α → Prop} {x : α} : All P (singleton x) ↔ P x :=
⟨fun h => h.2.1, fun h => ⟨⟨⟩, h, ⟨⟩⟩⟩
#align ordnode.all_singleton Ordnode.all_singleton
theorem any_singleton {P : α → Prop} {x : α} : Any P (singleton x) ↔ P x :=
⟨by rintro (⟨⟨⟩⟩ | h | ⟨⟨⟩⟩); exact h, fun h => Or.inr (Or.inl h)⟩
#align ordnode.any_singleton Ordnode.any_singleton
theorem all_dual {P : α → Prop} : ∀ {t : Ordnode α}, All P (dual t) ↔ All P t
| nil => Iff.rfl
| node _ _l _x _r =>
⟨fun ⟨hr, hx, hl⟩ => ⟨all_dual.1 hl, hx, all_dual.1 hr⟩, fun ⟨hl, hx, hr⟩ =>
⟨all_dual.2 hr, hx, all_dual.2 hl⟩⟩
#align ordnode.all_dual Ordnode.all_dual
theorem all_iff_forall {P : α → Prop} : ∀ {t}, All P t ↔ ∀ x, Emem x t → P x
| nil => (iff_true_intro <| by rintro _ ⟨⟩).symm
| node _ l x r => by simp [All, Emem, all_iff_forall, Any, or_imp, forall_and]
#align ordnode.all_iff_forall Ordnode.all_iff_forall
theorem any_iff_exists {P : α → Prop} : ∀ {t}, Any P t ↔ ∃ x, Emem x t ∧ P x
| nil => ⟨by rintro ⟨⟩, by rintro ⟨_, ⟨⟩, _⟩⟩
| node _ l x r => by simp only [Emem]; simp [Any, any_iff_exists, or_and_right, exists_or]
#align ordnode.any_iff_exists Ordnode.any_iff_exists
theorem emem_iff_all {x : α} {t} : Emem x t ↔ ∀ P, All P t → P x :=
⟨fun h _ al => all_iff_forall.1 al _ h, fun H => H _ <| all_iff_forall.2 fun _ => id⟩
#align ordnode.emem_iff_all Ordnode.emem_iff_all
theorem all_node' {P l x r} : @All α P (node' l x r) ↔ All P l ∧ P x ∧ All P r :=
Iff.rfl
#align ordnode.all_node' Ordnode.all_node'
theorem all_node3L {P l x m y r} :
@All α P (node3L l x m y r) ↔ All P l ∧ P x ∧ All P m ∧ P y ∧ All P r := by
simp [node3L, all_node', and_assoc]
#align ordnode.all_node3_l Ordnode.all_node3L
theorem all_node3R {P l x m y r} :
@All α P (node3R l x m y r) ↔ All P l ∧ P x ∧ All P m ∧ P y ∧ All P r :=
Iff.rfl
#align ordnode.all_node3_r Ordnode.all_node3R
theorem all_node4L {P l x m y r} :
@All α P (node4L l x m y r) ↔ All P l ∧ P x ∧ All P m ∧ P y ∧ All P r := by
cases m <;> simp [node4L, all_node', All, all_node3L, and_assoc]
#align ordnode.all_node4_l Ordnode.all_node4L
theorem all_node4R {P l x m y r} :
@All α P (node4R l x m y r) ↔ All P l ∧ P x ∧ All P m ∧ P y ∧ All P r := by
cases m <;> simp [node4R, all_node', All, all_node3R, and_assoc]
#align ordnode.all_node4_r Ordnode.all_node4R
theorem all_rotateL {P l x r} : @All α P (rotateL l x r) ↔ All P l ∧ P x ∧ All P r := by
cases r <;> simp [rotateL, all_node']; split_ifs <;>
simp [all_node3L, all_node4L, All, and_assoc]
#align ordnode.all_rotate_l Ordnode.all_rotateL
theorem all_rotateR {P l x r} : @All α P (rotateR l x r) ↔ All P l ∧ P x ∧ All P r := by
rw [← all_dual, dual_rotateR, all_rotateL]; simp [all_dual, and_comm, and_left_comm, and_assoc]
#align ordnode.all_rotate_r Ordnode.all_rotateR
theorem all_balance' {P l x r} : @All α P (balance' l x r) ↔ All P l ∧ P x ∧ All P r := by
rw [balance']; split_ifs <;> simp [all_node', all_rotateL, all_rotateR]
#align ordnode.all_balance' Ordnode.all_balance'
theorem foldr_cons_eq_toList : ∀ (t : Ordnode α) (r : List α), t.foldr List.cons r = toList t ++ r
| nil, r => rfl
| node _ l x r, r' => by
rw [foldr, foldr_cons_eq_toList l, foldr_cons_eq_toList r, ← List.cons_append,
← List.append_assoc, ← foldr_cons_eq_toList l]; rfl
#align ordnode.foldr_cons_eq_to_list Ordnode.foldr_cons_eq_toList
@[simp]
theorem toList_nil : toList (@nil α) = [] :=
rfl
#align ordnode.to_list_nil Ordnode.toList_nil
@[simp]
theorem toList_node (s l x r) : toList (@node α s l x r) = toList l ++ x :: toList r := by
rw [toList, foldr, foldr_cons_eq_toList]; rfl
#align ordnode.to_list_node Ordnode.toList_node
theorem emem_iff_mem_toList {x : α} {t} : Emem x t ↔ x ∈ toList t := by
unfold Emem; induction t <;> simp [Any, *, or_assoc]
#align ordnode.emem_iff_mem_to_list Ordnode.emem_iff_mem_toList
theorem length_toList' : ∀ t : Ordnode α, (toList t).length = t.realSize
| nil => rfl
| node _ l _ r => by
rw [toList_node, List.length_append, List.length_cons, length_toList' l,
length_toList' r]; rfl
#align ordnode.length_to_list' Ordnode.length_toList'
theorem length_toList {t : Ordnode α} (h : Sized t) : (toList t).length = t.size := by
rw [length_toList', size_eq_realSize h]
#align ordnode.length_to_list Ordnode.length_toList
theorem equiv_iff {t₁ t₂ : Ordnode α} (h₁ : Sized t₁) (h₂ : Sized t₂) :
Equiv t₁ t₂ ↔ toList t₁ = toList t₂ :=
and_iff_right_of_imp fun h => by rw [← length_toList h₁, h, length_toList h₂]
#align ordnode.equiv_iff Ordnode.equiv_iff
theorem pos_size_of_mem [LE α] [@DecidableRel α (· ≤ ·)] {x : α} {t : Ordnode α} (h : Sized t)
(h_mem : x ∈ t) : 0 < size t := by cases t; · { contradiction }; · { simp [h.1] }
#align ordnode.pos_size_of_mem Ordnode.pos_size_of_mem
theorem findMin'_dual : ∀ (t) (x : α), findMin' (dual t) x = findMax' x t
| nil, _ => rfl
| node _ _ x r, _ => findMin'_dual r x
#align ordnode.find_min'_dual Ordnode.findMin'_dual
theorem findMax'_dual (t) (x : α) : findMax' x (dual t) = findMin' t x := by
rw [← findMin'_dual, dual_dual]
#align ordnode.find_max'_dual Ordnode.findMax'_dual
theorem findMin_dual : ∀ t : Ordnode α, findMin (dual t) = findMax t
| nil => rfl
| node _ _ _ _ => congr_arg some <| findMin'_dual _ _
#align ordnode.find_min_dual Ordnode.findMin_dual
theorem findMax_dual (t : Ordnode α) : findMax (dual t) = findMin t := by
rw [← findMin_dual, dual_dual]
#align ordnode.find_max_dual Ordnode.findMax_dual
theorem dual_eraseMin : ∀ t : Ordnode α, dual (eraseMin t) = eraseMax (dual t)
| nil => rfl
| node _ nil x r => rfl
| node _ (node sz l' y r') x r => by
rw [eraseMin, dual_balanceR, dual_eraseMin (node sz l' y r'), dual, dual, dual, eraseMax]
#align ordnode.dual_erase_min Ordnode.dual_eraseMin
theorem dual_eraseMax (t : Ordnode α) : dual (eraseMax t) = eraseMin (dual t) := by
rw [← dual_dual (eraseMin _), dual_eraseMin, dual_dual]
#align ordnode.dual_erase_max Ordnode.dual_eraseMax
theorem splitMin_eq :
∀ (s l) (x : α) (r), splitMin' l x r = (findMin' l x, eraseMin (node s l x r))
| _, nil, x, r => rfl
| _, node ls ll lx lr, x, r => by rw [splitMin', splitMin_eq ls ll lx lr, findMin', eraseMin]
#align ordnode.split_min_eq Ordnode.splitMin_eq
theorem splitMax_eq :
∀ (s l) (x : α) (r), splitMax' l x r = (eraseMax (node s l x r), findMax' x r)
| _, l, x, nil => rfl
| _, l, x, node ls ll lx lr => by rw [splitMax', splitMax_eq ls ll lx lr, findMax', eraseMax]
#align ordnode.split_max_eq Ordnode.splitMax_eq
-- @[elab_as_elim] -- Porting note: unexpected eliminator resulting type
theorem findMin'_all {P : α → Prop} : ∀ (t) (x : α), All P t → P x → P (findMin' t x)
| nil, _x, _, hx => hx
| node _ ll lx _, _, ⟨h₁, h₂, _⟩, _ => findMin'_all ll lx h₁ h₂
#align ordnode.find_min'_all Ordnode.findMin'_all
-- @[elab_as_elim] -- Porting note: unexpected eliminator resulting type
theorem findMax'_all {P : α → Prop} : ∀ (x : α) (t), P x → All P t → P (findMax' x t)
| _x, nil, hx, _ => hx
| _, node _ _ lx lr, _, ⟨_, h₂, h₃⟩ => findMax'_all lx lr h₂ h₃
#align ordnode.find_max'_all Ordnode.findMax'_all
@[simp]
theorem merge_nil_left (t : Ordnode α) : merge t nil = t := by cases t <;> rfl
#align ordnode.merge_nil_left Ordnode.merge_nil_left
@[simp]
theorem merge_nil_right (t : Ordnode α) : merge nil t = t :=
rfl
#align ordnode.merge_nil_right Ordnode.merge_nil_right
@[simp]
theorem merge_node {ls ll lx lr rs rl rx rr} :
merge (@node α ls ll lx lr) (node rs rl rx rr) =
if delta * ls < rs then balanceL (merge (node ls ll lx lr) rl) rx rr
else if delta * rs < ls then balanceR ll lx (merge lr (node rs rl rx rr))
else glue (node ls ll lx lr) (node rs rl rx rr) :=
rfl
#align ordnode.merge_node Ordnode.merge_node
theorem dual_insert [Preorder α] [IsTotal α (· ≤ ·)] [@DecidableRel α (· ≤ ·)] (x : α) :
∀ t : Ordnode α, dual (Ordnode.insert x t) = @Ordnode.insert αᵒᵈ _ _ x (dual t)
| nil => rfl
| node _ l y r => by
have : @cmpLE αᵒᵈ _ _ x y = cmpLE y x := rfl
rw [Ordnode.insert, dual, Ordnode.insert, this, ← cmpLE_swap x y]
cases cmpLE x y <;>
simp [Ordering.swap, Ordnode.insert, dual_balanceL, dual_balanceR, dual_insert]
#align ordnode.dual_insert Ordnode.dual_insert
theorem balance_eq_balance' {l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l)
(sr : Sized r) : @balance α l x r = balance' l x r := by
cases' l with ls ll lx lr
· cases' r with rs rl rx rr
· rfl
· rw [sr.eq_node'] at hr ⊢
cases' rl with rls rll rlx rlr <;> cases' rr with rrs rrl rrx rrr <;>
dsimp [balance, balance']
· rfl
· have : size rrl = 0 ∧ size rrr = 0 := by
have := balancedSz_zero.1 hr.1.symm
rwa [size, sr.2.2.1, Nat.succ_le_succ_iff, Nat.le_zero, add_eq_zero_iff] at this
cases sr.2.2.2.1.size_eq_zero.1 this.1
cases sr.2.2.2.2.size_eq_zero.1 this.2
obtain rfl : rrs = 1 := sr.2.2.1
rw [if_neg, if_pos, rotateL_node, if_pos]; · rfl
all_goals dsimp only [size]; decide
· have : size rll = 0 ∧ size rlr = 0 := by
have := balancedSz_zero.1 hr.1
rwa [size, sr.2.1.1, Nat.succ_le_succ_iff, Nat.le_zero, add_eq_zero_iff] at this
cases sr.2.1.2.1.size_eq_zero.1 this.1
cases sr.2.1.2.2.size_eq_zero.1 this.2
obtain rfl : rls = 1 := sr.2.1.1
rw [if_neg, if_pos, rotateL_node, if_neg]; · rfl
all_goals dsimp only [size]; decide
· symm; rw [zero_add, if_neg, if_pos, rotateL]
· dsimp only [size_node]; split_ifs
· simp [node3L, node']; abel
· simp [node4L, node', sr.2.1.1]; abel
· apply Nat.zero_lt_succ
· exact not_le_of_gt (Nat.succ_lt_succ (add_pos sr.2.1.pos sr.2.2.pos))
· cases' r with rs rl rx rr
· rw [sl.eq_node'] at hl ⊢
cases' ll with lls lll llx llr <;> cases' lr with lrs lrl lrx lrr <;>
dsimp [balance, balance']
· rfl
· have : size lrl = 0 ∧ size lrr = 0 := by
have := balancedSz_zero.1 hl.1.symm
rwa [size, sl.2.2.1, Nat.succ_le_succ_iff, Nat.le_zero, add_eq_zero_iff] at this
cases sl.2.2.2.1.size_eq_zero.1 this.1
cases sl.2.2.2.2.size_eq_zero.1 this.2
obtain rfl : lrs = 1 := sl.2.2.1
rw [if_neg, if_neg, if_pos, rotateR_node, if_neg]; · rfl
all_goals dsimp only [size]; decide
· have : size lll = 0 ∧ size llr = 0 := by
have := balancedSz_zero.1 hl.1
rwa [size, sl.2.1.1, Nat.succ_le_succ_iff, Nat.le_zero, add_eq_zero_iff] at this
cases sl.2.1.2.1.size_eq_zero.1 this.1
cases sl.2.1.2.2.size_eq_zero.1 this.2
obtain rfl : lls = 1 := sl.2.1.1
rw [if_neg, if_neg, if_pos, rotateR_node, if_pos]; · rfl
all_goals dsimp only [size]; decide
· symm; rw [if_neg, if_neg, if_pos, rotateR]
· dsimp only [size_node]; split_ifs
· simp [node3R, node']; abel
· simp [node4R, node', sl.2.2.1]; abel
· apply Nat.zero_lt_succ
· apply Nat.not_lt_zero
· exact not_le_of_gt (Nat.succ_lt_succ (add_pos sl.2.1.pos sl.2.2.pos))
· simp [balance, balance']
symm; rw [if_neg]
· split_ifs with h h_1
· have rd : delta ≤ size rl + size rr := by
have := lt_of_le_of_lt (Nat.mul_le_mul_left _ sl.pos) h
rwa [sr.1, Nat.lt_succ_iff] at this
cases' rl with rls rll rlx rlr
· rw [size, zero_add] at rd
exact absurd (le_trans rd (balancedSz_zero.1 hr.1.symm)) (by decide)
cases' rr with rrs rrl rrx rrr
· exact absurd (le_trans rd (balancedSz_zero.1 hr.1)) (by decide)
dsimp [rotateL]; split_ifs
· simp [node3L, node', sr.1]; abel
· simp [node4L, node', sr.1, sr.2.1.1]; abel
· have ld : delta ≤ size ll + size lr := by
have := lt_of_le_of_lt (Nat.mul_le_mul_left _ sr.pos) h_1
rwa [sl.1, Nat.lt_succ_iff] at this
cases' ll with lls lll llx llr
· rw [size, zero_add] at ld
exact absurd (le_trans ld (balancedSz_zero.1 hl.1.symm)) (by decide)
cases' lr with lrs lrl lrx lrr
· exact absurd (le_trans ld (balancedSz_zero.1 hl.1)) (by decide)
dsimp [rotateR]; split_ifs
· simp [node3R, node', sl.1]; abel
· simp [node4R, node', sl.1, sl.2.2.1]; abel
· simp [node']
· exact not_le_of_gt (add_le_add (Nat.succ_le_of_lt sl.pos) (Nat.succ_le_of_lt sr.pos))
#align ordnode.balance_eq_balance' Ordnode.balance_eq_balance'
theorem balanceL_eq_balance {l x r} (sl : Sized l) (sr : Sized r) (H1 : size l = 0 → size r ≤ 1)
(H2 : 1 ≤ size l → 1 ≤ size r → size r ≤ delta * size l) :
@balanceL α l x r = balance l x r := by
cases' r with rs rl rx rr
· rfl
· cases' l with ls ll lx lr
· have : size rl = 0 ∧ size rr = 0 := by
have := H1 rfl
rwa [size, sr.1, Nat.succ_le_succ_iff, Nat.le_zero, add_eq_zero_iff] at this
cases sr.2.1.size_eq_zero.1 this.1
cases sr.2.2.size_eq_zero.1 this.2
rw [sr.eq_node']; rfl
· replace H2 : ¬rs > delta * ls := not_lt_of_le (H2 sl.pos sr.pos)
simp [balanceL, balance, H2]; split_ifs <;> simp [add_comm]
#align ordnode.balance_l_eq_balance Ordnode.balanceL_eq_balance
def Raised (n m : ℕ) : Prop :=
m = n ∨ m = n + 1
#align ordnode.raised Ordnode.Raised
theorem raised_iff {n m} : Raised n m ↔ n ≤ m ∧ m ≤ n + 1 := by
constructor
· rintro (rfl | rfl)
· exact ⟨le_rfl, Nat.le_succ _⟩
· exact ⟨Nat.le_succ _, le_rfl⟩
· rintro ⟨h₁, h₂⟩
rcases eq_or_lt_of_le h₁ with (rfl | h₁)
· exact Or.inl rfl
· exact Or.inr (le_antisymm h₂ h₁)
#align ordnode.raised_iff Ordnode.raised_iff
theorem Raised.dist_le {n m} (H : Raised n m) : Nat.dist n m ≤ 1 := by
cases' raised_iff.1 H with H1 H2; rwa [Nat.dist_eq_sub_of_le H1, tsub_le_iff_left]
#align ordnode.raised.dist_le Ordnode.Raised.dist_le
theorem Raised.dist_le' {n m} (H : Raised n m) : Nat.dist m n ≤ 1 := by
rw [Nat.dist_comm]; exact H.dist_le
#align ordnode.raised.dist_le' Ordnode.Raised.dist_le'
theorem Raised.add_left (k) {n m} (H : Raised n m) : Raised (k + n) (k + m) := by
rcases H with (rfl | rfl)
· exact Or.inl rfl
· exact Or.inr rfl
#align ordnode.raised.add_left Ordnode.Raised.add_left
theorem Raised.add_right (k) {n m} (H : Raised n m) : Raised (n + k) (m + k) := by
rw [add_comm, add_comm m]; exact H.add_left _
#align ordnode.raised.add_right Ordnode.Raised.add_right
theorem Raised.right {l x₁ x₂ r₁ r₂} (H : Raised (size r₁) (size r₂)) :
Raised (size (@node' α l x₁ r₁)) (size (@node' α l x₂ r₂)) := by
rw [node', size_node, size_node]; generalize size r₂ = m at H ⊢
rcases H with (rfl | rfl)
· exact Or.inl rfl
· exact Or.inr rfl
#align ordnode.raised.right Ordnode.Raised.right
theorem balanceL_eq_balance' {l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l)
(sr : Sized r)
(H :
(∃ l', Raised l' (size l) ∧ BalancedSz l' (size r)) ∨
∃ r', Raised (size r) r' ∧ BalancedSz (size l) r') :
@balanceL α l x r = balance' l x r := by
rw [← balance_eq_balance' hl hr sl sr, balanceL_eq_balance sl sr]
· intro l0; rw [l0] at H
rcases H with (⟨_, ⟨⟨⟩⟩ | ⟨⟨⟩⟩, H⟩ | ⟨r', e, H⟩)
· exact balancedSz_zero.1 H.symm
exact le_trans (raised_iff.1 e).1 (balancedSz_zero.1 H.symm)
· intro l1 _
rcases H with (⟨l', e, H | ⟨_, H₂⟩⟩ | ⟨r', e, H | ⟨_, H₂⟩⟩)
· exact le_trans (le_trans (Nat.le_add_left _ _) H) (mul_pos (by decide) l1 : (0 : ℕ) < _)
· exact le_trans H₂ (Nat.mul_le_mul_left _ (raised_iff.1 e).1)
· cases raised_iff.1 e; unfold delta; omega
· exact le_trans (raised_iff.1 e).1 H₂
#align ordnode.balance_l_eq_balance' Ordnode.balanceL_eq_balance'
theorem balance_sz_dual {l r}
(H : (∃ l', Raised (@size α l) l' ∧ BalancedSz l' (@size α r)) ∨
∃ r', Raised r' (size r) ∧ BalancedSz (size l) r') :
(∃ l', Raised l' (size (dual r)) ∧ BalancedSz l' (size (dual l))) ∨
∃ r', Raised (size (dual l)) r' ∧ BalancedSz (size (dual r)) r' := by
rw [size_dual, size_dual]
exact
H.symm.imp (Exists.imp fun _ => And.imp_right BalancedSz.symm)
(Exists.imp fun _ => And.imp_right BalancedSz.symm)
#align ordnode.balance_sz_dual Ordnode.balance_sz_dual
theorem size_balanceL {l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l) (sr : Sized r)
(H : (∃ l', Raised l' (size l) ∧ BalancedSz l' (size r)) ∨
∃ r', Raised (size r) r' ∧ BalancedSz (size l) r') :
size (@balanceL α l x r) = size l + size r + 1 := by
rw [balanceL_eq_balance' hl hr sl sr H, size_balance' sl sr]
#align ordnode.size_balance_l Ordnode.size_balanceL
theorem all_balanceL {P l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l) (sr : Sized r)
(H :
(∃ l', Raised l' (size l) ∧ BalancedSz l' (size r)) ∨
∃ r', Raised (size r) r' ∧ BalancedSz (size l) r') :
All P (@balanceL α l x r) ↔ All P l ∧ P x ∧ All P r := by
rw [balanceL_eq_balance' hl hr sl sr H, all_balance']
#align ordnode.all_balance_l Ordnode.all_balanceL
theorem balanceR_eq_balance' {l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l)
(sr : Sized r)
(H : (∃ l', Raised (size l) l' ∧ BalancedSz l' (size r)) ∨
∃ r', Raised r' (size r) ∧ BalancedSz (size l) r') :
@balanceR α l x r = balance' l x r := by
rw [← dual_dual (balanceR l x r), dual_balanceR,
balanceL_eq_balance' hr.dual hl.dual sr.dual sl.dual (balance_sz_dual H), ← dual_balance',
dual_dual]
#align ordnode.balance_r_eq_balance' Ordnode.balanceR_eq_balance'
theorem size_balanceR {l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l) (sr : Sized r)
(H : (∃ l', Raised (size l) l' ∧ BalancedSz l' (size r)) ∨
∃ r', Raised r' (size r) ∧ BalancedSz (size l) r') :
size (@balanceR α l x r) = size l + size r + 1 := by
rw [balanceR_eq_balance' hl hr sl sr H, size_balance' sl sr]
#align ordnode.size_balance_r Ordnode.size_balanceR
theorem all_balanceR {P l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l) (sr : Sized r)
(H :
(∃ l', Raised (size l) l' ∧ BalancedSz l' (size r)) ∨
∃ r', Raised r' (size r) ∧ BalancedSz (size l) r') :
All P (@balanceR α l x r) ↔ All P l ∧ P x ∧ All P r := by
rw [balanceR_eq_balance' hl hr sl sr H, all_balance']
#align ordnode.all_balance_r Ordnode.all_balanceR
section
variable [Preorder α]
def Bounded : Ordnode α → WithBot α → WithTop α → Prop
| nil, some a, some b => a < b
| nil, _, _ => True
| node _ l x r, o₁, o₂ => Bounded l o₁ x ∧ Bounded r (↑x) o₂
#align ordnode.bounded Ordnode.Bounded
theorem Bounded.dual :
∀ {t : Ordnode α} {o₁ o₂}, Bounded t o₁ o₂ → @Bounded αᵒᵈ _ (dual t) o₂ o₁
| nil, o₁, o₂, h => by cases o₁ <;> cases o₂ <;> trivial
| node _ l x r, _, _, ⟨ol, Or⟩ => ⟨Or.dual, ol.dual⟩
#align ordnode.bounded.dual Ordnode.Bounded.dual
theorem Bounded.dual_iff {t : Ordnode α} {o₁ o₂} :
Bounded t o₁ o₂ ↔ @Bounded αᵒᵈ _ (.dual t) o₂ o₁ :=
⟨Bounded.dual, fun h => by
have := Bounded.dual h; rwa [dual_dual, OrderDual.Preorder.dual_dual] at this⟩
#align ordnode.bounded.dual_iff Ordnode.Bounded.dual_iff
theorem Bounded.weak_left : ∀ {t : Ordnode α} {o₁ o₂}, Bounded t o₁ o₂ → Bounded t ⊥ o₂
| nil, o₁, o₂, h => by cases o₂ <;> trivial
| node _ l x r, _, _, ⟨ol, Or⟩ => ⟨ol.weak_left, Or⟩
#align ordnode.bounded.weak_left Ordnode.Bounded.weak_left
theorem Bounded.weak_right : ∀ {t : Ordnode α} {o₁ o₂}, Bounded t o₁ o₂ → Bounded t o₁ ⊤
| nil, o₁, o₂, h => by cases o₁ <;> trivial
| node _ l x r, _, _, ⟨ol, Or⟩ => ⟨ol, Or.weak_right⟩
#align ordnode.bounded.weak_right Ordnode.Bounded.weak_right
theorem Bounded.weak {t : Ordnode α} {o₁ o₂} (h : Bounded t o₁ o₂) : Bounded t ⊥ ⊤ :=
h.weak_left.weak_right
#align ordnode.bounded.weak Ordnode.Bounded.weak
theorem Bounded.mono_left {x y : α} (xy : x ≤ y) :
∀ {t : Ordnode α} {o}, Bounded t y o → Bounded t x o
| nil, none, _ => ⟨⟩
| nil, some _, h => lt_of_le_of_lt xy h
| node _ _ _ _, _o, ⟨ol, or⟩ => ⟨ol.mono_left xy, or⟩
#align ordnode.bounded.mono_left Ordnode.Bounded.mono_left
theorem Bounded.mono_right {x y : α} (xy : x ≤ y) :
∀ {t : Ordnode α} {o}, Bounded t o x → Bounded t o y
| nil, none, _ => ⟨⟩
| nil, some _, h => lt_of_lt_of_le h xy
| node _ _ _ _, _o, ⟨ol, or⟩ => ⟨ol, or.mono_right xy⟩
#align ordnode.bounded.mono_right Ordnode.Bounded.mono_right
theorem Bounded.to_lt : ∀ {t : Ordnode α} {x y : α}, Bounded t x y → x < y
| nil, _, _, h => h
| node _ _ _ _, _, _, ⟨h₁, h₂⟩ => lt_trans h₁.to_lt h₂.to_lt
#align ordnode.bounded.to_lt Ordnode.Bounded.to_lt
theorem Bounded.to_nil {t : Ordnode α} : ∀ {o₁ o₂}, Bounded t o₁ o₂ → Bounded nil o₁ o₂
| none, _, _ => ⟨⟩
| some _, none, _ => ⟨⟩
| some _, some _, h => h.to_lt
#align ordnode.bounded.to_nil Ordnode.Bounded.to_nil
theorem Bounded.trans_left {t₁ t₂ : Ordnode α} {x : α} :
∀ {o₁ o₂}, Bounded t₁ o₁ x → Bounded t₂ x o₂ → Bounded t₂ o₁ o₂
| none, _, _, h₂ => h₂.weak_left
| some _, _, h₁, h₂ => h₂.mono_left (le_of_lt h₁.to_lt)
#align ordnode.bounded.trans_left Ordnode.Bounded.trans_left
theorem Bounded.trans_right {t₁ t₂ : Ordnode α} {x : α} :
∀ {o₁ o₂}, Bounded t₁ o₁ x → Bounded t₂ x o₂ → Bounded t₁ o₁ o₂
| _, none, h₁, _ => h₁.weak_right
| _, some _, h₁, h₂ => h₁.mono_right (le_of_lt h₂.to_lt)
#align ordnode.bounded.trans_right Ordnode.Bounded.trans_right
theorem Bounded.mem_lt : ∀ {t o} {x : α}, Bounded t o x → All (· < x) t
| nil, _, _, _ => ⟨⟩
| node _ _ _ _, _, _, ⟨h₁, h₂⟩ =>
⟨h₁.mem_lt.imp fun _ h => lt_trans h h₂.to_lt, h₂.to_lt, h₂.mem_lt⟩
#align ordnode.bounded.mem_lt Ordnode.Bounded.mem_lt
theorem Bounded.mem_gt : ∀ {t o} {x : α}, Bounded t x o → All (· > x) t
| nil, _, _, _ => ⟨⟩
| node _ _ _ _, _, _, ⟨h₁, h₂⟩ => ⟨h₁.mem_gt, h₁.to_lt, h₂.mem_gt.imp fun _ => lt_trans h₁.to_lt⟩
#align ordnode.bounded.mem_gt Ordnode.Bounded.mem_gt
theorem Bounded.of_lt :
∀ {t o₁ o₂} {x : α}, Bounded t o₁ o₂ → Bounded nil o₁ x → All (· < x) t → Bounded t o₁ x
| nil, _, _, _, _, hn, _ => hn
| node _ _ _ _, _, _, _, ⟨h₁, h₂⟩, _, ⟨_, al₂, al₃⟩ => ⟨h₁, h₂.of_lt al₂ al₃⟩
#align ordnode.bounded.of_lt Ordnode.Bounded.of_lt
theorem Bounded.of_gt :
∀ {t o₁ o₂} {x : α}, Bounded t o₁ o₂ → Bounded nil x o₂ → All (· > x) t → Bounded t x o₂
| nil, _, _, _, _, hn, _ => hn
| node _ _ _ _, _, _, _, ⟨h₁, h₂⟩, _, ⟨al₁, al₂, _⟩ => ⟨h₁.of_gt al₂ al₁, h₂⟩
#align ordnode.bounded.of_gt Ordnode.Bounded.of_gt
theorem Bounded.to_sep {t₁ t₂ o₁ o₂} {x : α}
(h₁ : Bounded t₁ o₁ (x : WithTop α)) (h₂ : Bounded t₂ (x : WithBot α) o₂) :
t₁.All fun y => t₂.All fun z : α => y < z := by
refine h₁.mem_lt.imp fun y yx => ?_
exact h₂.mem_gt.imp fun z xz => lt_trans yx xz
#align ordnode.bounded.to_sep Ordnode.Bounded.to_sep
end
section
variable [Preorder α]
structure Valid' (lo : WithBot α) (t : Ordnode α) (hi : WithTop α) : Prop where
ord : t.Bounded lo hi
sz : t.Sized
bal : t.Balanced
#align ordnode.valid' Ordnode.Valid'
#align ordnode.valid'.ord Ordnode.Valid'.ord
#align ordnode.valid'.sz Ordnode.Valid'.sz
#align ordnode.valid'.bal Ordnode.Valid'.bal
def Valid (t : Ordnode α) : Prop :=
Valid' ⊥ t ⊤
#align ordnode.valid Ordnode.Valid
theorem Valid'.mono_left {x y : α} (xy : x ≤ y) {t : Ordnode α} {o} (h : Valid' y t o) :
Valid' x t o :=
⟨h.1.mono_left xy, h.2, h.3⟩
#align ordnode.valid'.mono_left Ordnode.Valid'.mono_left
theorem Valid'.mono_right {x y : α} (xy : x ≤ y) {t : Ordnode α} {o} (h : Valid' o t x) :
Valid' o t y :=
⟨h.1.mono_right xy, h.2, h.3⟩
#align ordnode.valid'.mono_right Ordnode.Valid'.mono_right
theorem Valid'.trans_left {t₁ t₂ : Ordnode α} {x : α} {o₁ o₂} (h : Bounded t₁ o₁ x)
(H : Valid' x t₂ o₂) : Valid' o₁ t₂ o₂ :=
⟨h.trans_left H.1, H.2, H.3⟩
#align ordnode.valid'.trans_left Ordnode.Valid'.trans_left
theorem Valid'.trans_right {t₁ t₂ : Ordnode α} {x : α} {o₁ o₂} (H : Valid' o₁ t₁ x)
(h : Bounded t₂ x o₂) : Valid' o₁ t₁ o₂ :=
⟨H.1.trans_right h, H.2, H.3⟩
#align ordnode.valid'.trans_right Ordnode.Valid'.trans_right
theorem Valid'.of_lt {t : Ordnode α} {x : α} {o₁ o₂} (H : Valid' o₁ t o₂) (h₁ : Bounded nil o₁ x)
(h₂ : All (· < x) t) : Valid' o₁ t x :=
⟨H.1.of_lt h₁ h₂, H.2, H.3⟩
#align ordnode.valid'.of_lt Ordnode.Valid'.of_lt
theorem Valid'.of_gt {t : Ordnode α} {x : α} {o₁ o₂} (H : Valid' o₁ t o₂) (h₁ : Bounded nil x o₂)
(h₂ : All (· > x) t) : Valid' x t o₂ :=
⟨H.1.of_gt h₁ h₂, H.2, H.3⟩
#align ordnode.valid'.of_gt Ordnode.Valid'.of_gt
theorem Valid'.valid {t o₁ o₂} (h : @Valid' α _ o₁ t o₂) : Valid t :=
⟨h.1.weak, h.2, h.3⟩
#align ordnode.valid'.valid Ordnode.Valid'.valid
theorem valid'_nil {o₁ o₂} (h : Bounded nil o₁ o₂) : Valid' o₁ (@nil α) o₂ :=
⟨h, ⟨⟩, ⟨⟩⟩
#align ordnode.valid'_nil Ordnode.valid'_nil
theorem valid_nil : Valid (@nil α) :=
valid'_nil ⟨⟩
#align ordnode.valid_nil Ordnode.valid_nil
theorem Valid'.node {s l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H : BalancedSz (size l) (size r)) (hs : s = size l + size r + 1) :
Valid' o₁ (@node α s l x r) o₂ :=
⟨⟨hl.1, hr.1⟩, ⟨hs, hl.2, hr.2⟩, ⟨H, hl.3, hr.3⟩⟩
#align ordnode.valid'.node Ordnode.Valid'.node
theorem Valid'.dual : ∀ {t : Ordnode α} {o₁ o₂}, Valid' o₁ t o₂ → @Valid' αᵒᵈ _ o₂ (dual t) o₁
| .nil, o₁, o₂, h => valid'_nil h.1.dual
| .node _ l x r, o₁, o₂, ⟨⟨ol, Or⟩, ⟨rfl, sl, sr⟩, ⟨b, bl, br⟩⟩ =>
let ⟨ol', sl', bl'⟩ := Valid'.dual ⟨ol, sl, bl⟩
let ⟨or', sr', br'⟩ := Valid'.dual ⟨Or, sr, br⟩
⟨⟨or', ol'⟩, ⟨by simp [size_dual, add_comm], sr', sl'⟩,
⟨by rw [size_dual, size_dual]; exact b.symm, br', bl'⟩⟩
#align ordnode.valid'.dual Ordnode.Valid'.dual
theorem Valid'.dual_iff {t : Ordnode α} {o₁ o₂} : Valid' o₁ t o₂ ↔ @Valid' αᵒᵈ _ o₂ (.dual t) o₁ :=
⟨Valid'.dual, fun h => by
have := Valid'.dual h; rwa [dual_dual, OrderDual.Preorder.dual_dual] at this⟩
#align ordnode.valid'.dual_iff Ordnode.Valid'.dual_iff
theorem Valid.dual {t : Ordnode α} : Valid t → @Valid αᵒᵈ _ (.dual t) :=
Valid'.dual
#align ordnode.valid.dual Ordnode.Valid.dual
theorem Valid.dual_iff {t : Ordnode α} : Valid t ↔ @Valid αᵒᵈ _ (.dual t) :=
Valid'.dual_iff
#align ordnode.valid.dual_iff Ordnode.Valid.dual_iff
theorem Valid'.left {s l x r o₁ o₂} (H : Valid' o₁ (@Ordnode.node α s l x r) o₂) : Valid' o₁ l x :=
⟨H.1.1, H.2.2.1, H.3.2.1⟩
#align ordnode.valid'.left Ordnode.Valid'.left
theorem Valid'.right {s l x r o₁ o₂} (H : Valid' o₁ (@Ordnode.node α s l x r) o₂) : Valid' x r o₂ :=
⟨H.1.2, H.2.2.2, H.3.2.2⟩
#align ordnode.valid'.right Ordnode.Valid'.right
nonrec theorem Valid.left {s l x r} (H : Valid (@node α s l x r)) : Valid l :=
H.left.valid
#align ordnode.valid.left Ordnode.Valid.left
nonrec theorem Valid.right {s l x r} (H : Valid (@node α s l x r)) : Valid r :=
H.right.valid
#align ordnode.valid.right Ordnode.Valid.right
theorem Valid.size_eq {s l x r} (H : Valid (@node α s l x r)) :
size (@node α s l x r) = size l + size r + 1 :=
H.2.1
#align ordnode.valid.size_eq Ordnode.Valid.size_eq
theorem Valid'.node' {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H : BalancedSz (size l) (size r)) : Valid' o₁ (@node' α l x r) o₂ :=
hl.node hr H rfl
#align ordnode.valid'.node' Ordnode.Valid'.node'
theorem valid'_singleton {x : α} {o₁ o₂} (h₁ : Bounded nil o₁ x) (h₂ : Bounded nil x o₂) :
Valid' o₁ (singleton x : Ordnode α) o₂ :=
(valid'_nil h₁).node (valid'_nil h₂) (Or.inl zero_le_one) rfl
#align ordnode.valid'_singleton Ordnode.valid'_singleton
theorem valid_singleton {x : α} : Valid (singleton x : Ordnode α) :=
valid'_singleton ⟨⟩ ⟨⟩
#align ordnode.valid_singleton Ordnode.valid_singleton
theorem Valid'.node3L {l} {x : α} {m} {y : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hm : Valid' x m y)
(hr : Valid' y r o₂) (H1 : BalancedSz (size l) (size m))
(H2 : BalancedSz (size l + size m + 1) (size r)) : Valid' o₁ (@node3L α l x m y r) o₂ :=
(hl.node' hm H1).node' hr H2
#align ordnode.valid'.node3_l Ordnode.Valid'.node3L
theorem Valid'.node3R {l} {x : α} {m} {y : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hm : Valid' x m y)
(hr : Valid' y r o₂) (H1 : BalancedSz (size l) (size m + size r + 1))
(H2 : BalancedSz (size m) (size r)) : Valid' o₁ (@node3R α l x m y r) o₂ :=
hl.node' (hm.node' hr H2) H1
#align ordnode.valid'.node3_r Ordnode.Valid'.node3R
theorem Valid'.node4L_lemma₁ {a b c d : ℕ} (lr₂ : 3 * (b + c + 1 + d) ≤ 16 * a + 9)
(mr₂ : b + c + 1 ≤ 3 * d) (mm₁ : b ≤ 3 * c) : b < 3 * a + 1 := by omega
#align ordnode.valid'.node4_l_lemma₁ Ordnode.Valid'.node4L_lemma₁
theorem Valid'.node4L_lemma₂ {b c d : ℕ} (mr₂ : b + c + 1 ≤ 3 * d) : c ≤ 3 * d := by omega
#align ordnode.valid'.node4_l_lemma₂ Ordnode.Valid'.node4L_lemma₂
theorem Valid'.node4L_lemma₃ {b c d : ℕ} (mr₁ : 2 * d ≤ b + c + 1) (mm₁ : b ≤ 3 * c) :
d ≤ 3 * c := by omega
#align ordnode.valid'.node4_l_lemma₃ Ordnode.Valid'.node4L_lemma₃
theorem Valid'.node4L_lemma₄ {a b c d : ℕ} (lr₁ : 3 * a ≤ b + c + 1 + d) (mr₂ : b + c + 1 ≤ 3 * d)
(mm₁ : b ≤ 3 * c) : a + b + 1 ≤ 3 * (c + d + 1) := by omega
#align ordnode.valid'.node4_l_lemma₄ Ordnode.Valid'.node4L_lemma₄
theorem Valid'.node4L_lemma₅ {a b c d : ℕ} (lr₂ : 3 * (b + c + 1 + d) ≤ 16 * a + 9)
(mr₁ : 2 * d ≤ b + c + 1) (mm₂ : c ≤ 3 * b) : c + d + 1 ≤ 3 * (a + b + 1) := by omega
#align ordnode.valid'.node4_l_lemma₅ Ordnode.Valid'.node4L_lemma₅
theorem Valid'.node4L {l} {x : α} {m} {y : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hm : Valid' x m y)
(hr : Valid' (↑y) r o₂) (Hm : 0 < size m)
(H : size l = 0 ∧ size m = 1 ∧ size r ≤ 1 ∨
0 < size l ∧
ratio * size r ≤ size m ∧
delta * size l ≤ size m + size r ∧
3 * (size m + size r) ≤ 16 * size l + 9 ∧ size m ≤ delta * size r) :
Valid' o₁ (@node4L α l x m y r) o₂ := by
cases' m with s ml z mr; · cases Hm
suffices
BalancedSz (size l) (size ml) ∧
BalancedSz (size mr) (size r) ∧ BalancedSz (size l + size ml + 1) (size mr + size r + 1) from
Valid'.node' (hl.node' hm.left this.1) (hm.right.node' hr this.2.1) this.2.2
rcases H with (⟨l0, m1, r0⟩ | ⟨l0, mr₁, lr₁, lr₂, mr₂⟩)
· rw [hm.2.size_eq, Nat.succ_inj', add_eq_zero_iff] at m1
rw [l0, m1.1, m1.2]; revert r0; rcases size r with (_ | _ | _) <;>
[decide; decide; (intro r0; unfold BalancedSz delta; omega)]
· rcases Nat.eq_zero_or_pos (size r) with r0 | r0
· rw [r0] at mr₂; cases not_le_of_lt Hm mr₂
rw [hm.2.size_eq] at lr₁ lr₂ mr₁ mr₂
by_cases mm : size ml + size mr ≤ 1
· have r1 :=
le_antisymm
((mul_le_mul_left (by decide)).1 (le_trans mr₁ (Nat.succ_le_succ mm) : _ ≤ ratio * 1)) r0
rw [r1, add_assoc] at lr₁
have l1 :=
le_antisymm
((mul_le_mul_left (by decide)).1 (le_trans lr₁ (add_le_add_right mm 2) : _ ≤ delta * 1))
l0
rw [l1, r1]
revert mm; cases size ml <;> cases size mr <;> intro mm
· decide
· rw [zero_add] at mm; rcases mm with (_ | ⟨⟨⟩⟩)
decide
· rcases mm with (_ | ⟨⟨⟩⟩); decide
· rw [Nat.succ_add] at mm; rcases mm with (_ | ⟨⟨⟩⟩)
rcases hm.3.1.resolve_left mm with ⟨mm₁, mm₂⟩
rcases Nat.eq_zero_or_pos (size ml) with ml0 | ml0
· rw [ml0, mul_zero, Nat.le_zero] at mm₂
rw [ml0, mm₂] at mm; cases mm (by decide)
have : 2 * size l ≤ size ml + size mr + 1 := by
have := Nat.mul_le_mul_left ratio lr₁
rw [mul_left_comm, mul_add] at this
have := le_trans this (add_le_add_left mr₁ _)
rw [← Nat.succ_mul] at this
exact (mul_le_mul_left (by decide)).1 this
refine ⟨Or.inr ⟨?_, ?_⟩, Or.inr ⟨?_, ?_⟩, Or.inr ⟨?_, ?_⟩⟩
· refine (mul_le_mul_left (by decide)).1 (le_trans this ?_)
rw [two_mul, Nat.succ_le_iff]
refine add_lt_add_of_lt_of_le ?_ mm₂
simpa using (mul_lt_mul_right ml0).2 (by decide : 1 < 3)
· exact Nat.le_of_lt_succ (Valid'.node4L_lemma₁ lr₂ mr₂ mm₁)
· exact Valid'.node4L_lemma₂ mr₂
· exact Valid'.node4L_lemma₃ mr₁ mm₁
· exact Valid'.node4L_lemma₄ lr₁ mr₂ mm₁
· exact Valid'.node4L_lemma₅ lr₂ mr₁ mm₂
#align ordnode.valid'.node4_l Ordnode.Valid'.node4L
theorem Valid'.rotateL_lemma₁ {a b c : ℕ} (H2 : 3 * a ≤ b + c) (hb₂ : c ≤ 3 * b) : a ≤ 3 * b := by
omega
#align ordnode.valid'.rotate_l_lemma₁ Ordnode.Valid'.rotateL_lemma₁
theorem Valid'.rotateL_lemma₂ {a b c : ℕ} (H3 : 2 * (b + c) ≤ 9 * a + 3) (h : b < 2 * c) :
b < 3 * a + 1 := by omega
#align ordnode.valid'.rotate_l_lemma₂ Ordnode.Valid'.rotateL_lemma₂
theorem Valid'.rotateL_lemma₃ {a b c : ℕ} (H2 : 3 * a ≤ b + c) (h : b < 2 * c) : a + b < 3 * c := by
omega
#align ordnode.valid'.rotate_l_lemma₃ Ordnode.Valid'.rotateL_lemma₃
theorem Valid'.rotateL_lemma₄ {a b : ℕ} (H3 : 2 * b ≤ 9 * a + 3) : 3 * b ≤ 16 * a + 9 := by
omega
#align ordnode.valid'.rotate_l_lemma₄ Ordnode.Valid'.rotateL_lemma₄
theorem Valid'.rotateL {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H1 : ¬size l + size r ≤ 1) (H2 : delta * size l < size r)
(H3 : 2 * size r ≤ 9 * size l + 5 ∨ size r ≤ 3) : Valid' o₁ (@rotateL α l x r) o₂ := by
cases' r with rs rl rx rr; · cases H2
rw [hr.2.size_eq, Nat.lt_succ_iff] at H2
rw [hr.2.size_eq] at H3
replace H3 : 2 * (size rl + size rr) ≤ 9 * size l + 3 ∨ size rl + size rr ≤ 2 :=
H3.imp (@Nat.le_of_add_le_add_right _ 2 _) Nat.le_of_succ_le_succ
have H3_0 : size l = 0 → size rl + size rr ≤ 2 := by
intro l0; rw [l0] at H3
exact
(or_iff_right_of_imp fun h => (mul_le_mul_left (by decide)).1 (le_trans h (by decide))).1 H3
have H3p : size l > 0 → 2 * (size rl + size rr) ≤ 9 * size l + 3 := fun l0 : 1 ≤ size l =>
(or_iff_left_of_imp <| by omega).1 H3
have ablem : ∀ {a b : ℕ}, 1 ≤ a → a + b ≤ 2 → b ≤ 1 := by omega
have hlp : size l > 0 → ¬size rl + size rr ≤ 1 := fun l0 hb =>
absurd (le_trans (le_trans (Nat.mul_le_mul_left _ l0) H2) hb) (by decide)
rw [Ordnode.rotateL_node]; split_ifs with h
· have rr0 : size rr > 0 :=
(mul_lt_mul_left (by decide)).1 (lt_of_le_of_lt (Nat.zero_le _) h : ratio * 0 < _)
suffices BalancedSz (size l) (size rl) ∧ BalancedSz (size l + size rl + 1) (size rr) by
exact hl.node3L hr.left hr.right this.1 this.2
rcases Nat.eq_zero_or_pos (size l) with l0 | l0
· rw [l0]; replace H3 := H3_0 l0
have := hr.3.1
rcases Nat.eq_zero_or_pos (size rl) with rl0 | rl0
· rw [rl0] at this ⊢
rw [le_antisymm (balancedSz_zero.1 this.symm) rr0]
decide
have rr1 : size rr = 1 := le_antisymm (ablem rl0 H3) rr0
rw [add_comm] at H3
rw [rr1, show size rl = 1 from le_antisymm (ablem rr0 H3) rl0]
decide
replace H3 := H3p l0
rcases hr.3.1.resolve_left (hlp l0) with ⟨_, hb₂⟩
refine ⟨Or.inr ⟨?_, ?_⟩, Or.inr ⟨?_, ?_⟩⟩
· exact Valid'.rotateL_lemma₁ H2 hb₂
· exact Nat.le_of_lt_succ (Valid'.rotateL_lemma₂ H3 h)
· exact Valid'.rotateL_lemma₃ H2 h
· exact
le_trans hb₂
(Nat.mul_le_mul_left _ <| le_trans (Nat.le_add_left _ _) (Nat.le_add_right _ _))
· rcases Nat.eq_zero_or_pos (size rl) with rl0 | rl0
· rw [rl0, not_lt, Nat.le_zero, Nat.mul_eq_zero] at h
replace h := h.resolve_left (by decide)
erw [rl0, h, Nat.le_zero, Nat.mul_eq_zero] at H2
rw [hr.2.size_eq, rl0, h, H2.resolve_left (by decide)] at H1
cases H1 (by decide)
refine hl.node4L hr.left hr.right rl0 ?_
rcases Nat.eq_zero_or_pos (size l) with l0 | l0
· replace H3 := H3_0 l0
rcases Nat.eq_zero_or_pos (size rr) with rr0 | rr0
· have := hr.3.1
rw [rr0] at this
exact Or.inl ⟨l0, le_antisymm (balancedSz_zero.1 this) rl0, rr0.symm ▸ zero_le_one⟩
exact Or.inl ⟨l0, le_antisymm (ablem rr0 <| by rwa [add_comm]) rl0, ablem rl0 H3⟩
exact
Or.inr ⟨l0, not_lt.1 h, H2, Valid'.rotateL_lemma₄ (H3p l0), (hr.3.1.resolve_left (hlp l0)).1⟩
#align ordnode.valid'.rotate_l Ordnode.Valid'.rotateL
| Mathlib/Data/Ordmap/Ordset.lean | 1,297 | 1,305 | theorem Valid'.rotateR {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H1 : ¬size l + size r ≤ 1) (H2 : delta * size r < size l)
(H3 : 2 * size l ≤ 9 * size r + 5 ∨ size l ≤ 3) : Valid' o₁ (@rotateR α l x r) o₂ := by |
refine Valid'.dual_iff.2 ?_
rw [dual_rotateR]
refine hr.dual.rotateL hl.dual ?_ ?_ ?_
· rwa [size_dual, size_dual, add_comm]
· rwa [size_dual, size_dual]
· rwa [size_dual, size_dual]
|
import Mathlib.Topology.Constructions
#align_import topology.continuous_on from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494"
open Set Filter Function Topology Filter
variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
variable [TopologicalSpace α]
@[simp]
theorem nhds_bind_nhdsWithin {a : α} {s : Set α} : ((𝓝 a).bind fun x => 𝓝[s] x) = 𝓝[s] a :=
bind_inf_principal.trans <| congr_arg₂ _ nhds_bind_nhds rfl
#align nhds_bind_nhds_within nhds_bind_nhdsWithin
@[simp]
theorem eventually_nhds_nhdsWithin {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x :=
Filter.ext_iff.1 nhds_bind_nhdsWithin { x | p x }
#align eventually_nhds_nhds_within eventually_nhds_nhdsWithin
theorem eventually_nhdsWithin_iff {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ x in 𝓝[s] a, p x) ↔ ∀ᶠ x in 𝓝 a, x ∈ s → p x :=
eventually_inf_principal
#align eventually_nhds_within_iff eventually_nhdsWithin_iff
theorem frequently_nhdsWithin_iff {z : α} {s : Set α} {p : α → Prop} :
(∃ᶠ x in 𝓝[s] z, p x) ↔ ∃ᶠ x in 𝓝 z, p x ∧ x ∈ s :=
frequently_inf_principal.trans <| by simp only [and_comm]
#align frequently_nhds_within_iff frequently_nhdsWithin_iff
theorem mem_closure_ne_iff_frequently_within {z : α} {s : Set α} :
z ∈ closure (s \ {z}) ↔ ∃ᶠ x in 𝓝[≠] z, x ∈ s := by
simp [mem_closure_iff_frequently, frequently_nhdsWithin_iff]
#align mem_closure_ne_iff_frequently_within mem_closure_ne_iff_frequently_within
@[simp]
theorem eventually_nhdsWithin_nhdsWithin {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ y in 𝓝[s] a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := by
refine ⟨fun h => ?_, fun h => (eventually_nhds_nhdsWithin.2 h).filter_mono inf_le_left⟩
simp only [eventually_nhdsWithin_iff] at h ⊢
exact h.mono fun x hx hxs => (hx hxs).self_of_nhds hxs
#align eventually_nhds_within_nhds_within eventually_nhdsWithin_nhdsWithin
theorem nhdsWithin_eq (a : α) (s : Set α) :
𝓝[s] a = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (t ∩ s) :=
((nhds_basis_opens a).inf_principal s).eq_biInf
#align nhds_within_eq nhdsWithin_eq
theorem nhdsWithin_univ (a : α) : 𝓝[Set.univ] a = 𝓝 a := by
rw [nhdsWithin, principal_univ, inf_top_eq]
#align nhds_within_univ nhdsWithin_univ
theorem nhdsWithin_hasBasis {p : β → Prop} {s : β → Set α} {a : α} (h : (𝓝 a).HasBasis p s)
(t : Set α) : (𝓝[t] a).HasBasis p fun i => s i ∩ t :=
h.inf_principal t
#align nhds_within_has_basis nhdsWithin_hasBasis
theorem nhdsWithin_basis_open (a : α) (t : Set α) :
(𝓝[t] a).HasBasis (fun u => a ∈ u ∧ IsOpen u) fun u => u ∩ t :=
nhdsWithin_hasBasis (nhds_basis_opens a) t
#align nhds_within_basis_open nhdsWithin_basis_open
theorem mem_nhdsWithin {t : Set α} {a : α} {s : Set α} :
t ∈ 𝓝[s] a ↔ ∃ u, IsOpen u ∧ a ∈ u ∧ u ∩ s ⊆ t := by
simpa only [and_assoc, and_left_comm] using (nhdsWithin_basis_open a s).mem_iff
#align mem_nhds_within mem_nhdsWithin
theorem mem_nhdsWithin_iff_exists_mem_nhds_inter {t : Set α} {a : α} {s : Set α} :
t ∈ 𝓝[s] a ↔ ∃ u ∈ 𝓝 a, u ∩ s ⊆ t :=
(nhdsWithin_hasBasis (𝓝 a).basis_sets s).mem_iff
#align mem_nhds_within_iff_exists_mem_nhds_inter mem_nhdsWithin_iff_exists_mem_nhds_inter
theorem diff_mem_nhdsWithin_compl {x : α} {s : Set α} (hs : s ∈ 𝓝 x) (t : Set α) :
s \ t ∈ 𝓝[tᶜ] x :=
diff_mem_inf_principal_compl hs t
#align diff_mem_nhds_within_compl diff_mem_nhdsWithin_compl
theorem diff_mem_nhdsWithin_diff {x : α} {s t : Set α} (hs : s ∈ 𝓝[t] x) (t' : Set α) :
s \ t' ∈ 𝓝[t \ t'] x := by
rw [nhdsWithin, diff_eq, diff_eq, ← inf_principal, ← inf_assoc]
exact inter_mem_inf hs (mem_principal_self _)
#align diff_mem_nhds_within_diff diff_mem_nhdsWithin_diff
theorem nhds_of_nhdsWithin_of_nhds {s t : Set α} {a : α} (h1 : s ∈ 𝓝 a) (h2 : t ∈ 𝓝[s] a) :
t ∈ 𝓝 a := by
rcases mem_nhdsWithin_iff_exists_mem_nhds_inter.mp h2 with ⟨_, Hw, hw⟩
exact (𝓝 a).sets_of_superset ((𝓝 a).inter_sets Hw h1) hw
#align nhds_of_nhds_within_of_nhds nhds_of_nhdsWithin_of_nhds
theorem mem_nhdsWithin_iff_eventually {s t : Set α} {x : α} :
t ∈ 𝓝[s] x ↔ ∀ᶠ y in 𝓝 x, y ∈ s → y ∈ t :=
eventually_inf_principal
#align mem_nhds_within_iff_eventually mem_nhdsWithin_iff_eventually
theorem mem_nhdsWithin_iff_eventuallyEq {s t : Set α} {x : α} :
t ∈ 𝓝[s] x ↔ s =ᶠ[𝓝 x] (s ∩ t : Set α) := by
simp_rw [mem_nhdsWithin_iff_eventually, eventuallyEq_set, mem_inter_iff, iff_self_and]
#align mem_nhds_within_iff_eventually_eq mem_nhdsWithin_iff_eventuallyEq
theorem nhdsWithin_eq_iff_eventuallyEq {s t : Set α} {x : α} : 𝓝[s] x = 𝓝[t] x ↔ s =ᶠ[𝓝 x] t :=
set_eventuallyEq_iff_inf_principal.symm
#align nhds_within_eq_iff_eventually_eq nhdsWithin_eq_iff_eventuallyEq
theorem nhdsWithin_le_iff {s t : Set α} {x : α} : 𝓝[s] x ≤ 𝓝[t] x ↔ t ∈ 𝓝[s] x :=
set_eventuallyLE_iff_inf_principal_le.symm.trans set_eventuallyLE_iff_mem_inf_principal
#align nhds_within_le_iff nhdsWithin_le_iff
-- Porting note: golfed, dropped an unneeded assumption
theorem preimage_nhdsWithin_coinduced' {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t)
(hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) :
π ⁻¹' s ∈ 𝓝[t] a := by
lift a to t using h
replace hs : (fun x : t => π x) ⁻¹' s ∈ 𝓝 a := preimage_nhds_coinduced hs
rwa [← map_nhds_subtype_val, mem_map]
#align preimage_nhds_within_coinduced' preimage_nhdsWithin_coinduced'ₓ
theorem mem_nhdsWithin_of_mem_nhds {s t : Set α} {a : α} (h : s ∈ 𝓝 a) : s ∈ 𝓝[t] a :=
mem_inf_of_left h
#align mem_nhds_within_of_mem_nhds mem_nhdsWithin_of_mem_nhds
theorem self_mem_nhdsWithin {a : α} {s : Set α} : s ∈ 𝓝[s] a :=
mem_inf_of_right (mem_principal_self s)
#align self_mem_nhds_within self_mem_nhdsWithin
theorem eventually_mem_nhdsWithin {a : α} {s : Set α} : ∀ᶠ x in 𝓝[s] a, x ∈ s :=
self_mem_nhdsWithin
#align eventually_mem_nhds_within eventually_mem_nhdsWithin
theorem inter_mem_nhdsWithin (s : Set α) {t : Set α} {a : α} (h : t ∈ 𝓝 a) : s ∩ t ∈ 𝓝[s] a :=
inter_mem self_mem_nhdsWithin (mem_inf_of_left h)
#align inter_mem_nhds_within inter_mem_nhdsWithin
theorem nhdsWithin_mono (a : α) {s t : Set α} (h : s ⊆ t) : 𝓝[s] a ≤ 𝓝[t] a :=
inf_le_inf_left _ (principal_mono.mpr h)
#align nhds_within_mono nhdsWithin_mono
theorem pure_le_nhdsWithin {a : α} {s : Set α} (ha : a ∈ s) : pure a ≤ 𝓝[s] a :=
le_inf (pure_le_nhds a) (le_principal_iff.2 ha)
#align pure_le_nhds_within pure_le_nhdsWithin
theorem mem_of_mem_nhdsWithin {a : α} {s t : Set α} (ha : a ∈ s) (ht : t ∈ 𝓝[s] a) : a ∈ t :=
pure_le_nhdsWithin ha ht
#align mem_of_mem_nhds_within mem_of_mem_nhdsWithin
theorem Filter.Eventually.self_of_nhdsWithin {p : α → Prop} {s : Set α} {x : α}
(h : ∀ᶠ y in 𝓝[s] x, p y) (hx : x ∈ s) : p x :=
mem_of_mem_nhdsWithin hx h
#align filter.eventually.self_of_nhds_within Filter.Eventually.self_of_nhdsWithin
theorem tendsto_const_nhdsWithin {l : Filter β} {s : Set α} {a : α} (ha : a ∈ s) :
Tendsto (fun _ : β => a) l (𝓝[s] a) :=
tendsto_const_pure.mono_right <| pure_le_nhdsWithin ha
#align tendsto_const_nhds_within tendsto_const_nhdsWithin
theorem nhdsWithin_restrict'' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝[s] a) :
𝓝[s] a = 𝓝[s ∩ t] a :=
le_antisymm (le_inf inf_le_left (le_principal_iff.mpr (inter_mem self_mem_nhdsWithin h)))
(inf_le_inf_left _ (principal_mono.mpr Set.inter_subset_left))
#align nhds_within_restrict'' nhdsWithin_restrict''
theorem nhdsWithin_restrict' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝 a) : 𝓝[s] a = 𝓝[s ∩ t] a :=
nhdsWithin_restrict'' s <| mem_inf_of_left h
#align nhds_within_restrict' nhdsWithin_restrict'
theorem nhdsWithin_restrict {a : α} (s : Set α) {t : Set α} (h₀ : a ∈ t) (h₁ : IsOpen t) :
𝓝[s] a = 𝓝[s ∩ t] a :=
nhdsWithin_restrict' s (IsOpen.mem_nhds h₁ h₀)
#align nhds_within_restrict nhdsWithin_restrict
theorem nhdsWithin_le_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[t] a ≤ 𝓝[s] a :=
nhdsWithin_le_iff.mpr h
#align nhds_within_le_of_mem nhdsWithin_le_of_mem
theorem nhdsWithin_le_nhds {a : α} {s : Set α} : 𝓝[s] a ≤ 𝓝 a := by
rw [← nhdsWithin_univ]
apply nhdsWithin_le_of_mem
exact univ_mem
#align nhds_within_le_nhds nhdsWithin_le_nhds
theorem nhdsWithin_eq_nhdsWithin' {a : α} {s t u : Set α} (hs : s ∈ 𝓝 a) (h₂ : t ∩ s = u ∩ s) :
𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict' t hs, nhdsWithin_restrict' u hs, h₂]
#align nhds_within_eq_nhds_within' nhdsWithin_eq_nhdsWithin'
theorem nhdsWithin_eq_nhdsWithin {a : α} {s t u : Set α} (h₀ : a ∈ s) (h₁ : IsOpen s)
(h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by
rw [nhdsWithin_restrict t h₀ h₁, nhdsWithin_restrict u h₀ h₁, h₂]
#align nhds_within_eq_nhds_within nhdsWithin_eq_nhdsWithin
@[simp] theorem nhdsWithin_eq_nhds {a : α} {s : Set α} : 𝓝[s] a = 𝓝 a ↔ s ∈ 𝓝 a :=
inf_eq_left.trans le_principal_iff
#align nhds_within_eq_nhds nhdsWithin_eq_nhds
theorem IsOpen.nhdsWithin_eq {a : α} {s : Set α} (h : IsOpen s) (ha : a ∈ s) : 𝓝[s] a = 𝓝 a :=
nhdsWithin_eq_nhds.2 <| h.mem_nhds ha
#align is_open.nhds_within_eq IsOpen.nhdsWithin_eq
theorem preimage_nhds_within_coinduced {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t)
(ht : IsOpen t)
(hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) :
π ⁻¹' s ∈ 𝓝 a := by
rw [← ht.nhdsWithin_eq h]
exact preimage_nhdsWithin_coinduced' h hs
#align preimage_nhds_within_coinduced preimage_nhds_within_coinduced
@[simp]
theorem nhdsWithin_empty (a : α) : 𝓝[∅] a = ⊥ := by rw [nhdsWithin, principal_empty, inf_bot_eq]
#align nhds_within_empty nhdsWithin_empty
theorem nhdsWithin_union (a : α) (s t : Set α) : 𝓝[s ∪ t] a = 𝓝[s] a ⊔ 𝓝[t] a := by
delta nhdsWithin
rw [← inf_sup_left, sup_principal]
#align nhds_within_union nhdsWithin_union
theorem nhdsWithin_biUnion {ι} {I : Set ι} (hI : I.Finite) (s : ι → Set α) (a : α) :
𝓝[⋃ i ∈ I, s i] a = ⨆ i ∈ I, 𝓝[s i] a :=
Set.Finite.induction_on hI (by simp) fun _ _ hT ↦ by
simp only [hT, nhdsWithin_union, iSup_insert, biUnion_insert]
#align nhds_within_bUnion nhdsWithin_biUnion
theorem nhdsWithin_sUnion {S : Set (Set α)} (hS : S.Finite) (a : α) :
𝓝[⋃₀ S] a = ⨆ s ∈ S, 𝓝[s] a := by
rw [sUnion_eq_biUnion, nhdsWithin_biUnion hS]
#align nhds_within_sUnion nhdsWithin_sUnion
theorem nhdsWithin_iUnion {ι} [Finite ι] (s : ι → Set α) (a : α) :
𝓝[⋃ i, s i] a = ⨆ i, 𝓝[s i] a := by
rw [← sUnion_range, nhdsWithin_sUnion (finite_range s), iSup_range]
#align nhds_within_Union nhdsWithin_iUnion
theorem nhdsWithin_inter (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓝[t] a := by
delta nhdsWithin
rw [inf_left_comm, inf_assoc, inf_principal, ← inf_assoc, inf_idem]
#align nhds_within_inter nhdsWithin_inter
theorem nhdsWithin_inter' (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓟 t := by
delta nhdsWithin
rw [← inf_principal, inf_assoc]
#align nhds_within_inter' nhdsWithin_inter'
theorem nhdsWithin_inter_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[s ∩ t] a = 𝓝[t] a := by
rw [nhdsWithin_inter, inf_eq_right]
exact nhdsWithin_le_of_mem h
#align nhds_within_inter_of_mem nhdsWithin_inter_of_mem
theorem nhdsWithin_inter_of_mem' {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s ∩ t] a = 𝓝[s] a := by
rw [inter_comm, nhdsWithin_inter_of_mem h]
#align nhds_within_inter_of_mem' nhdsWithin_inter_of_mem'
@[simp]
theorem nhdsWithin_singleton (a : α) : 𝓝[{a}] a = pure a := by
rw [nhdsWithin, principal_singleton, inf_eq_right.2 (pure_le_nhds a)]
#align nhds_within_singleton nhdsWithin_singleton
@[simp]
theorem nhdsWithin_insert (a : α) (s : Set α) : 𝓝[insert a s] a = pure a ⊔ 𝓝[s] a := by
rw [← singleton_union, nhdsWithin_union, nhdsWithin_singleton]
#align nhds_within_insert nhdsWithin_insert
theorem mem_nhdsWithin_insert {a : α} {s t : Set α} : t ∈ 𝓝[insert a s] a ↔ a ∈ t ∧ t ∈ 𝓝[s] a := by
simp
#align mem_nhds_within_insert mem_nhdsWithin_insert
theorem insert_mem_nhdsWithin_insert {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) :
insert a t ∈ 𝓝[insert a s] a := by simp [mem_of_superset h]
#align insert_mem_nhds_within_insert insert_mem_nhdsWithin_insert
theorem insert_mem_nhds_iff {a : α} {s : Set α} : insert a s ∈ 𝓝 a ↔ s ∈ 𝓝[≠] a := by
simp only [nhdsWithin, mem_inf_principal, mem_compl_iff, mem_singleton_iff, or_iff_not_imp_left,
insert_def]
#align insert_mem_nhds_iff insert_mem_nhds_iff
@[simp]
theorem nhdsWithin_compl_singleton_sup_pure (a : α) : 𝓝[≠] a ⊔ pure a = 𝓝 a := by
rw [← nhdsWithin_singleton, ← nhdsWithin_union, compl_union_self, nhdsWithin_univ]
#align nhds_within_compl_singleton_sup_pure nhdsWithin_compl_singleton_sup_pure
theorem nhdsWithin_prod {α : Type*} [TopologicalSpace α] {β : Type*} [TopologicalSpace β]
{s u : Set α} {t v : Set β} {a : α} {b : β} (hu : u ∈ 𝓝[s] a) (hv : v ∈ 𝓝[t] b) :
u ×ˢ v ∈ 𝓝[s ×ˢ t] (a, b) := by
rw [nhdsWithin_prod_eq]
exact prod_mem_prod hu hv
#align nhds_within_prod nhdsWithin_prod
theorem nhdsWithin_pi_eq' {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
(hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) :
𝓝[pi I s] x = ⨅ i, comap (fun x => x i) (𝓝 (x i) ⊓ ⨅ (_ : i ∈ I), 𝓟 (s i)) := by
simp only [nhdsWithin, nhds_pi, Filter.pi, comap_inf, comap_iInf, pi_def, comap_principal, ←
iInf_principal_finite hI, ← iInf_inf_eq]
#align nhds_within_pi_eq' nhdsWithin_pi_eq'
theorem nhdsWithin_pi_eq {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
(hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) :
𝓝[pi I s] x =
(⨅ i ∈ I, comap (fun x => x i) (𝓝[s i] x i)) ⊓
⨅ (i) (_ : i ∉ I), comap (fun x => x i) (𝓝 (x i)) := by
simp only [nhdsWithin, nhds_pi, Filter.pi, pi_def, ← iInf_principal_finite hI, comap_inf,
comap_principal, eval]
rw [iInf_split _ fun i => i ∈ I, inf_right_comm]
simp only [iInf_inf_eq]
#align nhds_within_pi_eq nhdsWithin_pi_eq
theorem nhdsWithin_pi_univ_eq {ι : Type*} {α : ι → Type*} [Finite ι] [∀ i, TopologicalSpace (α i)]
(s : ∀ i, Set (α i)) (x : ∀ i, α i) :
𝓝[pi univ s] x = ⨅ i, comap (fun x => x i) (𝓝[s i] x i) := by
simpa [nhdsWithin] using nhdsWithin_pi_eq finite_univ s x
#align nhds_within_pi_univ_eq nhdsWithin_pi_univ_eq
theorem nhdsWithin_pi_eq_bot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
{s : ∀ i, Set (α i)} {x : ∀ i, α i} : 𝓝[pi I s] x = ⊥ ↔ ∃ i ∈ I, 𝓝[s i] x i = ⊥ := by
simp only [nhdsWithin, nhds_pi, pi_inf_principal_pi_eq_bot]
#align nhds_within_pi_eq_bot nhdsWithin_pi_eq_bot
theorem nhdsWithin_pi_neBot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
{s : ∀ i, Set (α i)} {x : ∀ i, α i} : (𝓝[pi I s] x).NeBot ↔ ∀ i ∈ I, (𝓝[s i] x i).NeBot := by
simp [neBot_iff, nhdsWithin_pi_eq_bot]
#align nhds_within_pi_ne_bot nhdsWithin_pi_neBot
theorem Filter.Tendsto.piecewise_nhdsWithin {f g : α → β} {t : Set α} [∀ x, Decidable (x ∈ t)]
{a : α} {s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ t] a) l)
(h₁ : Tendsto g (𝓝[s ∩ tᶜ] a) l) : Tendsto (piecewise t f g) (𝓝[s] a) l := by
apply Tendsto.piecewise <;> rwa [← nhdsWithin_inter']
#align filter.tendsto.piecewise_nhds_within Filter.Tendsto.piecewise_nhdsWithin
theorem Filter.Tendsto.if_nhdsWithin {f g : α → β} {p : α → Prop} [DecidablePred p] {a : α}
{s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ { x | p x }] a) l)
(h₁ : Tendsto g (𝓝[s ∩ { x | ¬p x }] a) l) :
Tendsto (fun x => if p x then f x else g x) (𝓝[s] a) l :=
h₀.piecewise_nhdsWithin h₁
#align filter.tendsto.if_nhds_within Filter.Tendsto.if_nhdsWithin
theorem map_nhdsWithin (f : α → β) (a : α) (s : Set α) :
map f (𝓝[s] a) = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (f '' (t ∩ s)) :=
((nhdsWithin_basis_open a s).map f).eq_biInf
#align map_nhds_within map_nhdsWithin
theorem tendsto_nhdsWithin_mono_left {f : α → β} {a : α} {s t : Set α} {l : Filter β} (hst : s ⊆ t)
(h : Tendsto f (𝓝[t] a) l) : Tendsto f (𝓝[s] a) l :=
h.mono_left <| nhdsWithin_mono a hst
#align tendsto_nhds_within_mono_left tendsto_nhdsWithin_mono_left
theorem tendsto_nhdsWithin_mono_right {f : β → α} {l : Filter β} {a : α} {s t : Set α} (hst : s ⊆ t)
(h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝[t] a) :=
h.mono_right (nhdsWithin_mono a hst)
#align tendsto_nhds_within_mono_right tendsto_nhdsWithin_mono_right
theorem tendsto_nhdsWithin_of_tendsto_nhds {f : α → β} {a : α} {s : Set α} {l : Filter β}
(h : Tendsto f (𝓝 a) l) : Tendsto f (𝓝[s] a) l :=
h.mono_left inf_le_left
#align tendsto_nhds_within_of_tendsto_nhds tendsto_nhdsWithin_of_tendsto_nhds
theorem eventually_mem_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β}
(h : Tendsto f l (𝓝[s] a)) : ∀ᶠ i in l, f i ∈ s := by
simp_rw [nhdsWithin_eq, tendsto_iInf, mem_setOf_eq, tendsto_principal, mem_inter_iff,
eventually_and] at h
exact (h univ ⟨mem_univ a, isOpen_univ⟩).2
#align eventually_mem_of_tendsto_nhds_within eventually_mem_of_tendsto_nhdsWithin
theorem tendsto_nhds_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β}
(h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝 a) :=
h.mono_right nhdsWithin_le_nhds
#align tendsto_nhds_of_tendsto_nhds_within tendsto_nhds_of_tendsto_nhdsWithin
theorem nhdsWithin_neBot_of_mem {s : Set α} {x : α} (hx : x ∈ s) : NeBot (𝓝[s] x) :=
mem_closure_iff_nhdsWithin_neBot.1 <| subset_closure hx
#align nhds_within_ne_bot_of_mem nhdsWithin_neBot_of_mem
theorem IsClosed.mem_of_nhdsWithin_neBot {s : Set α} (hs : IsClosed s) {x : α}
(hx : NeBot <| 𝓝[s] x) : x ∈ s :=
hs.closure_eq ▸ mem_closure_iff_nhdsWithin_neBot.2 hx
#align is_closed.mem_of_nhds_within_ne_bot IsClosed.mem_of_nhdsWithin_neBot
theorem DenseRange.nhdsWithin_neBot {ι : Type*} {f : ι → α} (h : DenseRange f) (x : α) :
NeBot (𝓝[range f] x) :=
mem_closure_iff_clusterPt.1 (h x)
#align dense_range.nhds_within_ne_bot DenseRange.nhdsWithin_neBot
theorem mem_closure_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
{s : ∀ i, Set (α i)} {x : ∀ i, α i} : x ∈ closure (pi I s) ↔ ∀ i ∈ I, x i ∈ closure (s i) := by
simp only [mem_closure_iff_nhdsWithin_neBot, nhdsWithin_pi_neBot]
#align mem_closure_pi mem_closure_pi
theorem closure_pi_set {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] (I : Set ι)
(s : ∀ i, Set (α i)) : closure (pi I s) = pi I fun i => closure (s i) :=
Set.ext fun _ => mem_closure_pi
#align closure_pi_set closure_pi_set
theorem dense_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {s : ∀ i, Set (α i)}
(I : Set ι) (hs : ∀ i ∈ I, Dense (s i)) : Dense (pi I s) := by
simp only [dense_iff_closure_eq, closure_pi_set, pi_congr rfl fun i hi => (hs i hi).closure_eq,
pi_univ]
#align dense_pi dense_pi
theorem eventuallyEq_nhdsWithin_iff {f g : α → β} {s : Set α} {a : α} :
f =ᶠ[𝓝[s] a] g ↔ ∀ᶠ x in 𝓝 a, x ∈ s → f x = g x :=
mem_inf_principal
#align eventually_eq_nhds_within_iff eventuallyEq_nhdsWithin_iff
theorem eventuallyEq_nhdsWithin_of_eqOn {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) :
f =ᶠ[𝓝[s] a] g :=
mem_inf_of_right h
#align eventually_eq_nhds_within_of_eq_on eventuallyEq_nhdsWithin_of_eqOn
theorem Set.EqOn.eventuallyEq_nhdsWithin {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) :
f =ᶠ[𝓝[s] a] g :=
eventuallyEq_nhdsWithin_of_eqOn h
#align set.eq_on.eventually_eq_nhds_within Set.EqOn.eventuallyEq_nhdsWithin
theorem tendsto_nhdsWithin_congr {f g : α → β} {s : Set α} {a : α} {l : Filter β}
(hfg : ∀ x ∈ s, f x = g x) (hf : Tendsto f (𝓝[s] a) l) : Tendsto g (𝓝[s] a) l :=
(tendsto_congr' <| eventuallyEq_nhdsWithin_of_eqOn hfg).1 hf
#align tendsto_nhds_within_congr tendsto_nhdsWithin_congr
theorem eventually_nhdsWithin_of_forall {s : Set α} {a : α} {p : α → Prop} (h : ∀ x ∈ s, p x) :
∀ᶠ x in 𝓝[s] a, p x :=
mem_inf_of_right h
#align eventually_nhds_within_of_forall eventually_nhdsWithin_of_forall
theorem tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within {a : α} {l : Filter β} {s : Set α}
(f : β → α) (h1 : Tendsto f l (𝓝 a)) (h2 : ∀ᶠ x in l, f x ∈ s) : Tendsto f l (𝓝[s] a) :=
tendsto_inf.2 ⟨h1, tendsto_principal.2 h2⟩
#align tendsto_nhds_within_of_tendsto_nhds_of_eventually_within tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within
theorem tendsto_nhdsWithin_iff {a : α} {l : Filter β} {s : Set α} {f : β → α} :
Tendsto f l (𝓝[s] a) ↔ Tendsto f l (𝓝 a) ∧ ∀ᶠ n in l, f n ∈ s :=
⟨fun h => ⟨tendsto_nhds_of_tendsto_nhdsWithin h, eventually_mem_of_tendsto_nhdsWithin h⟩, fun h =>
tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ h.1 h.2⟩
#align tendsto_nhds_within_iff tendsto_nhdsWithin_iff
@[simp]
theorem tendsto_nhdsWithin_range {a : α} {l : Filter β} {f : β → α} :
Tendsto f l (𝓝[range f] a) ↔ Tendsto f l (𝓝 a) :=
⟨fun h => h.mono_right inf_le_left, fun h =>
tendsto_inf.2 ⟨h, tendsto_principal.2 <| eventually_of_forall mem_range_self⟩⟩
#align tendsto_nhds_within_range tendsto_nhdsWithin_range
theorem Filter.EventuallyEq.eq_of_nhdsWithin {s : Set α} {f g : α → β} {a : α} (h : f =ᶠ[𝓝[s] a] g)
(hmem : a ∈ s) : f a = g a :=
h.self_of_nhdsWithin hmem
#align filter.eventually_eq.eq_of_nhds_within Filter.EventuallyEq.eq_of_nhdsWithin
theorem eventually_nhdsWithin_of_eventually_nhds {α : Type*} [TopologicalSpace α] {s : Set α}
{a : α} {p : α → Prop} (h : ∀ᶠ x in 𝓝 a, p x) : ∀ᶠ x in 𝓝[s] a, p x :=
mem_nhdsWithin_of_mem_nhds h
#align eventually_nhds_within_of_eventually_nhds eventually_nhdsWithin_of_eventually_nhds
theorem mem_nhdsWithin_subtype {s : Set α} {a : { x // x ∈ s }} {t u : Set { x // x ∈ s }} :
t ∈ 𝓝[u] a ↔ t ∈ comap ((↑) : s → α) (𝓝[(↑) '' u] a) := by
rw [nhdsWithin, nhds_subtype, principal_subtype, ← comap_inf, ← nhdsWithin]
#align mem_nhds_within_subtype mem_nhdsWithin_subtype
theorem nhdsWithin_subtype (s : Set α) (a : { x // x ∈ s }) (t : Set { x // x ∈ s }) :
𝓝[t] a = comap ((↑) : s → α) (𝓝[(↑) '' t] a) :=
Filter.ext fun _ => mem_nhdsWithin_subtype
#align nhds_within_subtype nhdsWithin_subtype
theorem nhdsWithin_eq_map_subtype_coe {s : Set α} {a : α} (h : a ∈ s) :
𝓝[s] a = map ((↑) : s → α) (𝓝 ⟨a, h⟩) :=
(map_nhds_subtype_val ⟨a, h⟩).symm
#align nhds_within_eq_map_subtype_coe nhdsWithin_eq_map_subtype_coe
theorem mem_nhds_subtype_iff_nhdsWithin {s : Set α} {a : s} {t : Set s} :
t ∈ 𝓝 a ↔ (↑) '' t ∈ 𝓝[s] (a : α) := by
rw [← map_nhds_subtype_val, image_mem_map_iff Subtype.val_injective]
#align mem_nhds_subtype_iff_nhds_within mem_nhds_subtype_iff_nhdsWithin
theorem preimage_coe_mem_nhds_subtype {s t : Set α} {a : s} : (↑) ⁻¹' t ∈ 𝓝 a ↔ t ∈ 𝓝[s] ↑a := by
rw [← map_nhds_subtype_val, mem_map]
#align preimage_coe_mem_nhds_subtype preimage_coe_mem_nhds_subtype
theorem eventually_nhds_subtype_iff (s : Set α) (a : s) (P : α → Prop) :
(∀ᶠ x : s in 𝓝 a, P x) ↔ ∀ᶠ x in 𝓝[s] a, P x :=
preimage_coe_mem_nhds_subtype
theorem frequently_nhds_subtype_iff (s : Set α) (a : s) (P : α → Prop) :
(∃ᶠ x : s in 𝓝 a, P x) ↔ ∃ᶠ x in 𝓝[s] a, P x :=
eventually_nhds_subtype_iff s a (¬ P ·) |>.not
theorem tendsto_nhdsWithin_iff_subtype {s : Set α} {a : α} (h : a ∈ s) (f : α → β) (l : Filter β) :
Tendsto f (𝓝[s] a) l ↔ Tendsto (s.restrict f) (𝓝 ⟨a, h⟩) l := by
rw [nhdsWithin_eq_map_subtype_coe h, tendsto_map'_iff]; rfl
#align tendsto_nhds_within_iff_subtype tendsto_nhdsWithin_iff_subtype
variable [TopologicalSpace β] [TopologicalSpace γ] [TopologicalSpace δ]
theorem ContinuousWithinAt.tendsto {f : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) :
Tendsto f (𝓝[s] x) (𝓝 (f x)) :=
h
#align continuous_within_at.tendsto ContinuousWithinAt.tendsto
theorem ContinuousOn.continuousWithinAt {f : α → β} {s : Set α} {x : α} (hf : ContinuousOn f s)
(hx : x ∈ s) : ContinuousWithinAt f s x :=
hf x hx
#align continuous_on.continuous_within_at ContinuousOn.continuousWithinAt
theorem continuousWithinAt_univ (f : α → β) (x : α) :
ContinuousWithinAt f Set.univ x ↔ ContinuousAt f x := by
rw [ContinuousAt, ContinuousWithinAt, nhdsWithin_univ]
#align continuous_within_at_univ continuousWithinAt_univ
theorem continuous_iff_continuousOn_univ {f : α → β} : Continuous f ↔ ContinuousOn f univ := by
simp [continuous_iff_continuousAt, ContinuousOn, ContinuousAt, ContinuousWithinAt,
nhdsWithin_univ]
#align continuous_iff_continuous_on_univ continuous_iff_continuousOn_univ
theorem continuousWithinAt_iff_continuousAt_restrict (f : α → β) {x : α} {s : Set α} (h : x ∈ s) :
ContinuousWithinAt f s x ↔ ContinuousAt (s.restrict f) ⟨x, h⟩ :=
tendsto_nhdsWithin_iff_subtype h f _
#align continuous_within_at_iff_continuous_at_restrict continuousWithinAt_iff_continuousAt_restrict
theorem ContinuousWithinAt.tendsto_nhdsWithin {f : α → β} {x : α} {s : Set α} {t : Set β}
(h : ContinuousWithinAt f s x) (ht : MapsTo f s t) : Tendsto f (𝓝[s] x) (𝓝[t] f x) :=
tendsto_inf.2 ⟨h, tendsto_principal.2 <| mem_inf_of_right <| mem_principal.2 <| ht⟩
#align continuous_within_at.tendsto_nhds_within ContinuousWithinAt.tendsto_nhdsWithin
theorem ContinuousWithinAt.tendsto_nhdsWithin_image {f : α → β} {x : α} {s : Set α}
(h : ContinuousWithinAt f s x) : Tendsto f (𝓝[s] x) (𝓝[f '' s] f x) :=
h.tendsto_nhdsWithin (mapsTo_image _ _)
#align continuous_within_at.tendsto_nhds_within_image ContinuousWithinAt.tendsto_nhdsWithin_image
theorem ContinuousWithinAt.prod_map {f : α → γ} {g : β → δ} {s : Set α} {t : Set β} {x : α} {y : β}
(hf : ContinuousWithinAt f s x) (hg : ContinuousWithinAt g t y) :
ContinuousWithinAt (Prod.map f g) (s ×ˢ t) (x, y) := by
unfold ContinuousWithinAt at *
rw [nhdsWithin_prod_eq, Prod.map, nhds_prod_eq]
exact hf.prod_map hg
#align continuous_within_at.prod_map ContinuousWithinAt.prod_map
theorem continuousWithinAt_prod_of_discrete_left [DiscreteTopology α]
{f : α × β → γ} {s : Set (α × β)} {x : α × β} :
ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ⟨x.1, ·⟩) {b | (x.1, b) ∈ s} x.2 := by
rw [← x.eta]; simp_rw [ContinuousWithinAt, nhdsWithin, nhds_prod_eq, nhds_discrete, pure_prod,
← map_inf_principal_preimage]; rfl
theorem continuousWithinAt_prod_of_discrete_right [DiscreteTopology β]
{f : α × β → γ} {s : Set (α × β)} {x : α × β} :
ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ⟨·, x.2⟩) {a | (a, x.2) ∈ s} x.1 := by
rw [← x.eta]; simp_rw [ContinuousWithinAt, nhdsWithin, nhds_prod_eq, nhds_discrete, prod_pure,
← map_inf_principal_preimage]; rfl
theorem continuousAt_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {x : α × β} :
ContinuousAt f x ↔ ContinuousAt (f ⟨x.1, ·⟩) x.2 := by
simp_rw [← continuousWithinAt_univ]; exact continuousWithinAt_prod_of_discrete_left
theorem continuousAt_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {x : α × β} :
ContinuousAt f x ↔ ContinuousAt (f ⟨·, x.2⟩) x.1 := by
simp_rw [← continuousWithinAt_univ]; exact continuousWithinAt_prod_of_discrete_right
theorem continuousOn_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {s : Set (α × β)} :
ContinuousOn f s ↔ ∀ a, ContinuousOn (f ⟨a, ·⟩) {b | (a, b) ∈ s} := by
simp_rw [ContinuousOn, Prod.forall, continuousWithinAt_prod_of_discrete_left]; rfl
theorem continuousOn_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {s : Set (α × β)} :
ContinuousOn f s ↔ ∀ b, ContinuousOn (f ⟨·, b⟩) {a | (a, b) ∈ s} := by
simp_rw [ContinuousOn, Prod.forall, continuousWithinAt_prod_of_discrete_right]; apply forall_swap
theorem continuous_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} :
Continuous f ↔ ∀ a, Continuous (f ⟨a, ·⟩) := by
simp_rw [continuous_iff_continuousOn_univ]; exact continuousOn_prod_of_discrete_left
theorem continuous_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} :
Continuous f ↔ ∀ b, Continuous (f ⟨·, b⟩) := by
simp_rw [continuous_iff_continuousOn_univ]; exact continuousOn_prod_of_discrete_right
theorem isOpenMap_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} :
IsOpenMap f ↔ ∀ a, IsOpenMap (f ⟨a, ·⟩) := by
simp_rw [isOpenMap_iff_nhds_le, Prod.forall, nhds_prod_eq, nhds_discrete, pure_prod, map_map]
rfl
theorem isOpenMap_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} :
IsOpenMap f ↔ ∀ b, IsOpenMap (f ⟨·, b⟩) := by
simp_rw [isOpenMap_iff_nhds_le, Prod.forall, forall_swap (α := α) (β := β), nhds_prod_eq,
nhds_discrete, prod_pure, map_map]; rfl
theorem continuousWithinAt_pi {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)]
{f : α → ∀ i, π i} {s : Set α} {x : α} :
ContinuousWithinAt f s x ↔ ∀ i, ContinuousWithinAt (fun y => f y i) s x :=
tendsto_pi_nhds
#align continuous_within_at_pi continuousWithinAt_pi
theorem continuousOn_pi {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)]
{f : α → ∀ i, π i} {s : Set α} : ContinuousOn f s ↔ ∀ i, ContinuousOn (fun y => f y i) s :=
⟨fun h i x hx => tendsto_pi_nhds.1 (h x hx) i, fun h x hx => tendsto_pi_nhds.2 fun i => h i x hx⟩
#align continuous_on_pi continuousOn_pi
@[fun_prop]
theorem continuousOn_pi' {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)]
{f : α → ∀ i, π i} {s : Set α} (hf : ∀ i, ContinuousOn (fun y => f y i) s) :
ContinuousOn f s :=
continuousOn_pi.2 hf
theorem ContinuousWithinAt.fin_insertNth {n} {π : Fin (n + 1) → Type*}
[∀ i, TopologicalSpace (π i)] (i : Fin (n + 1)) {f : α → π i} {a : α} {s : Set α}
(hf : ContinuousWithinAt f s a) {g : α → ∀ j : Fin n, π (i.succAbove j)}
(hg : ContinuousWithinAt g s a) : ContinuousWithinAt (fun a => i.insertNth (f a) (g a)) s a :=
hf.tendsto.fin_insertNth i hg
#align continuous_within_at.fin_insert_nth ContinuousWithinAt.fin_insertNth
nonrec theorem ContinuousOn.fin_insertNth {n} {π : Fin (n + 1) → Type*}
[∀ i, TopologicalSpace (π i)] (i : Fin (n + 1)) {f : α → π i} {s : Set α}
(hf : ContinuousOn f s) {g : α → ∀ j : Fin n, π (i.succAbove j)} (hg : ContinuousOn g s) :
ContinuousOn (fun a => i.insertNth (f a) (g a)) s := fun a ha =>
(hf a ha).fin_insertNth i (hg a ha)
#align continuous_on.fin_insert_nth ContinuousOn.fin_insertNth
theorem continuousOn_iff {f : α → β} {s : Set α} :
ContinuousOn f s ↔
∀ x ∈ s, ∀ t : Set β, IsOpen t → f x ∈ t → ∃ u, IsOpen u ∧ x ∈ u ∧ u ∩ s ⊆ f ⁻¹' t := by
simp only [ContinuousOn, ContinuousWithinAt, tendsto_nhds, mem_nhdsWithin]
#align continuous_on_iff continuousOn_iff
theorem continuousOn_iff_continuous_restrict {f : α → β} {s : Set α} :
ContinuousOn f s ↔ Continuous (s.restrict f) := by
rw [ContinuousOn, continuous_iff_continuousAt]; constructor
· rintro h ⟨x, xs⟩
exact (continuousWithinAt_iff_continuousAt_restrict f xs).mp (h x xs)
intro h x xs
exact (continuousWithinAt_iff_continuousAt_restrict f xs).mpr (h ⟨x, xs⟩)
#align continuous_on_iff_continuous_restrict continuousOn_iff_continuous_restrict
-- Porting note: 2 new lemmas
alias ⟨ContinuousOn.restrict, _⟩ := continuousOn_iff_continuous_restrict
theorem ContinuousOn.restrict_mapsTo {f : α → β} {s : Set α} {t : Set β} (hf : ContinuousOn f s)
(ht : MapsTo f s t) : Continuous (ht.restrict f s t) :=
hf.restrict.codRestrict _
theorem continuousOn_iff' {f : α → β} {s : Set α} :
ContinuousOn f s ↔ ∀ t : Set β, IsOpen t → ∃ u, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := by
have : ∀ t, IsOpen (s.restrict f ⁻¹' t) ↔ ∃ u : Set α, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := by
intro t
rw [isOpen_induced_iff, Set.restrict_eq, Set.preimage_comp]
simp only [Subtype.preimage_coe_eq_preimage_coe_iff]
constructor <;>
· rintro ⟨u, ou, useq⟩
exact ⟨u, ou, by simpa only [Set.inter_comm, eq_comm] using useq⟩
rw [continuousOn_iff_continuous_restrict, continuous_def]; simp only [this]
#align continuous_on_iff' continuousOn_iff'
theorem ContinuousOn.mono_dom {α β : Type*} {t₁ t₂ : TopologicalSpace α} {t₃ : TopologicalSpace β}
(h₁ : t₂ ≤ t₁) {s : Set α} {f : α → β} (h₂ : @ContinuousOn α β t₁ t₃ f s) :
@ContinuousOn α β t₂ t₃ f s := fun x hx _u hu =>
map_mono (inf_le_inf_right _ <| nhds_mono h₁) (h₂ x hx hu)
#align continuous_on.mono_dom ContinuousOn.mono_dom
theorem ContinuousOn.mono_rng {α β : Type*} {t₁ : TopologicalSpace α} {t₂ t₃ : TopologicalSpace β}
(h₁ : t₂ ≤ t₃) {s : Set α} {f : α → β} (h₂ : @ContinuousOn α β t₁ t₂ f s) :
@ContinuousOn α β t₁ t₃ f s := fun x hx _u hu =>
h₂ x hx <| nhds_mono h₁ hu
#align continuous_on.mono_rng ContinuousOn.mono_rng
theorem continuousOn_iff_isClosed {f : α → β} {s : Set α} :
ContinuousOn f s ↔ ∀ t : Set β, IsClosed t → ∃ u, IsClosed u ∧ f ⁻¹' t ∩ s = u ∩ s := by
have : ∀ t, IsClosed (s.restrict f ⁻¹' t) ↔ ∃ u : Set α, IsClosed u ∧ f ⁻¹' t ∩ s = u ∩ s := by
intro t
rw [isClosed_induced_iff, Set.restrict_eq, Set.preimage_comp]
simp only [Subtype.preimage_coe_eq_preimage_coe_iff, eq_comm, Set.inter_comm s]
rw [continuousOn_iff_continuous_restrict, continuous_iff_isClosed]; simp only [this]
#align continuous_on_iff_is_closed continuousOn_iff_isClosed
theorem ContinuousOn.prod_map {f : α → γ} {g : β → δ} {s : Set α} {t : Set β}
(hf : ContinuousOn f s) (hg : ContinuousOn g t) : ContinuousOn (Prod.map f g) (s ×ˢ t) :=
fun ⟨x, y⟩ ⟨hx, hy⟩ => ContinuousWithinAt.prod_map (hf x hx) (hg y hy)
#align continuous_on.prod_map ContinuousOn.prod_map
theorem continuous_of_cover_nhds {ι : Sort*} {f : α → β} {s : ι → Set α}
(hs : ∀ x : α, ∃ i, s i ∈ 𝓝 x) (hf : ∀ i, ContinuousOn f (s i)) :
Continuous f :=
continuous_iff_continuousAt.mpr fun x ↦ let ⟨i, hi⟩ := hs x; by
rw [ContinuousAt, ← nhdsWithin_eq_nhds.2 hi]
exact hf _ _ (mem_of_mem_nhds hi)
#align continuous_of_cover_nhds continuous_of_cover_nhds
theorem continuousOn_empty (f : α → β) : ContinuousOn f ∅ := fun _ => False.elim
#align continuous_on_empty continuousOn_empty
@[simp]
theorem continuousOn_singleton (f : α → β) (a : α) : ContinuousOn f {a} :=
forall_eq.2 <| by
simpa only [ContinuousWithinAt, nhdsWithin_singleton, tendsto_pure_left] using fun s =>
mem_of_mem_nhds
#align continuous_on_singleton continuousOn_singleton
theorem Set.Subsingleton.continuousOn {s : Set α} (hs : s.Subsingleton) (f : α → β) :
ContinuousOn f s :=
hs.induction_on (continuousOn_empty f) (continuousOn_singleton f)
#align set.subsingleton.continuous_on Set.Subsingleton.continuousOn
theorem nhdsWithin_le_comap {x : α} {s : Set α} {f : α → β} (ctsf : ContinuousWithinAt f s x) :
𝓝[s] x ≤ comap f (𝓝[f '' s] f x) :=
ctsf.tendsto_nhdsWithin_image.le_comap
#align nhds_within_le_comap nhdsWithin_le_comap
@[simp]
theorem comap_nhdsWithin_range {α} (f : α → β) (y : β) : comap f (𝓝[range f] y) = comap f (𝓝 y) :=
comap_inf_principal_range
#align comap_nhds_within_range comap_nhdsWithin_range
theorem ContinuousWithinAt.mono {f : α → β} {s t : Set α} {x : α} (h : ContinuousWithinAt f t x)
(hs : s ⊆ t) : ContinuousWithinAt f s x :=
h.mono_left (nhdsWithin_mono x hs)
#align continuous_within_at.mono ContinuousWithinAt.mono
theorem ContinuousWithinAt.mono_of_mem {f : α → β} {s t : Set α} {x : α}
(h : ContinuousWithinAt f t x) (hs : t ∈ 𝓝[s] x) : ContinuousWithinAt f s x :=
h.mono_left (nhdsWithin_le_of_mem hs)
#align continuous_within_at.mono_of_mem ContinuousWithinAt.mono_of_mem
theorem continuousWithinAt_congr_nhds {f : α → β} {s t : Set α} {x : α} (h : 𝓝[s] x = 𝓝[t] x) :
ContinuousWithinAt f s x ↔ ContinuousWithinAt f t x := by
simp only [ContinuousWithinAt, h]
theorem continuousWithinAt_inter' {f : α → β} {s t : Set α} {x : α} (h : t ∈ 𝓝[s] x) :
ContinuousWithinAt f (s ∩ t) x ↔ ContinuousWithinAt f s x := by
simp [ContinuousWithinAt, nhdsWithin_restrict'' s h]
#align continuous_within_at_inter' continuousWithinAt_inter'
theorem continuousWithinAt_inter {f : α → β} {s t : Set α} {x : α} (h : t ∈ 𝓝 x) :
ContinuousWithinAt f (s ∩ t) x ↔ ContinuousWithinAt f s x := by
simp [ContinuousWithinAt, nhdsWithin_restrict' s h]
#align continuous_within_at_inter continuousWithinAt_inter
theorem continuousWithinAt_union {f : α → β} {s t : Set α} {x : α} :
ContinuousWithinAt f (s ∪ t) x ↔ ContinuousWithinAt f s x ∧ ContinuousWithinAt f t x := by
simp only [ContinuousWithinAt, nhdsWithin_union, tendsto_sup]
#align continuous_within_at_union continuousWithinAt_union
theorem ContinuousWithinAt.union {f : α → β} {s t : Set α} {x : α} (hs : ContinuousWithinAt f s x)
(ht : ContinuousWithinAt f t x) : ContinuousWithinAt f (s ∪ t) x :=
continuousWithinAt_union.2 ⟨hs, ht⟩
#align continuous_within_at.union ContinuousWithinAt.union
theorem ContinuousWithinAt.mem_closure_image {f : α → β} {s : Set α} {x : α}
(h : ContinuousWithinAt f s x) (hx : x ∈ closure s) : f x ∈ closure (f '' s) :=
haveI := mem_closure_iff_nhdsWithin_neBot.1 hx
mem_closure_of_tendsto h <| mem_of_superset self_mem_nhdsWithin (subset_preimage_image f s)
#align continuous_within_at.mem_closure_image ContinuousWithinAt.mem_closure_image
theorem ContinuousWithinAt.mem_closure {f : α → β} {s : Set α} {x : α} {A : Set β}
(h : ContinuousWithinAt f s x) (hx : x ∈ closure s) (hA : MapsTo f s A) : f x ∈ closure A :=
closure_mono (image_subset_iff.2 hA) (h.mem_closure_image hx)
#align continuous_within_at.mem_closure ContinuousWithinAt.mem_closure
theorem Set.MapsTo.closure_of_continuousWithinAt {f : α → β} {s : Set α} {t : Set β}
(h : MapsTo f s t) (hc : ∀ x ∈ closure s, ContinuousWithinAt f s x) :
MapsTo f (closure s) (closure t) := fun x hx => (hc x hx).mem_closure hx h
#align set.maps_to.closure_of_continuous_within_at Set.MapsTo.closure_of_continuousWithinAt
theorem Set.MapsTo.closure_of_continuousOn {f : α → β} {s : Set α} {t : Set β} (h : MapsTo f s t)
(hc : ContinuousOn f (closure s)) : MapsTo f (closure s) (closure t) :=
h.closure_of_continuousWithinAt fun x hx => (hc x hx).mono subset_closure
#align set.maps_to.closure_of_continuous_on Set.MapsTo.closure_of_continuousOn
theorem ContinuousWithinAt.image_closure {f : α → β} {s : Set α}
(hf : ∀ x ∈ closure s, ContinuousWithinAt f s x) : f '' closure s ⊆ closure (f '' s) :=
((mapsTo_image f s).closure_of_continuousWithinAt hf).image_subset
#align continuous_within_at.image_closure ContinuousWithinAt.image_closure
theorem ContinuousOn.image_closure {f : α → β} {s : Set α} (hf : ContinuousOn f (closure s)) :
f '' closure s ⊆ closure (f '' s) :=
ContinuousWithinAt.image_closure fun x hx => (hf x hx).mono subset_closure
#align continuous_on.image_closure ContinuousOn.image_closure
@[simp]
theorem continuousWithinAt_singleton {f : α → β} {x : α} : ContinuousWithinAt f {x} x := by
simp only [ContinuousWithinAt, nhdsWithin_singleton, tendsto_pure_nhds]
#align continuous_within_at_singleton continuousWithinAt_singleton
@[simp]
theorem continuousWithinAt_insert_self {f : α → β} {x : α} {s : Set α} :
ContinuousWithinAt f (insert x s) x ↔ ContinuousWithinAt f s x := by
simp only [← singleton_union, continuousWithinAt_union, continuousWithinAt_singleton,
true_and_iff]
#align continuous_within_at_insert_self continuousWithinAt_insert_self
alias ⟨_, ContinuousWithinAt.insert_self⟩ := continuousWithinAt_insert_self
#align continuous_within_at.insert_self ContinuousWithinAt.insert_self
theorem ContinuousWithinAt.diff_iff {f : α → β} {s t : Set α} {x : α}
(ht : ContinuousWithinAt f t x) : ContinuousWithinAt f (s \ t) x ↔ ContinuousWithinAt f s x :=
⟨fun h => (h.union ht).mono <| by simp only [diff_union_self, subset_union_left], fun h =>
h.mono diff_subset⟩
#align continuous_within_at.diff_iff ContinuousWithinAt.diff_iff
@[simp]
theorem continuousWithinAt_diff_self {f : α → β} {s : Set α} {x : α} :
ContinuousWithinAt f (s \ {x}) x ↔ ContinuousWithinAt f s x :=
continuousWithinAt_singleton.diff_iff
#align continuous_within_at_diff_self continuousWithinAt_diff_self
@[simp]
theorem continuousWithinAt_compl_self {f : α → β} {a : α} :
ContinuousWithinAt f {a}ᶜ a ↔ ContinuousAt f a := by
rw [compl_eq_univ_diff, continuousWithinAt_diff_self, continuousWithinAt_univ]
#align continuous_within_at_compl_self continuousWithinAt_compl_self
@[simp]
| Mathlib/Topology/ContinuousOn.lean | 836 | 843 | theorem continuousWithinAt_update_same [DecidableEq α] {f : α → β} {s : Set α} {x : α} {y : β} :
ContinuousWithinAt (update f x y) s x ↔ Tendsto f (𝓝[s \ {x}] x) (𝓝 y) :=
calc
ContinuousWithinAt (update f x y) s x ↔ Tendsto (update f x y) (𝓝[s \ {x}] x) (𝓝 y) := by |
{ rw [← continuousWithinAt_diff_self, ContinuousWithinAt, update_same] }
_ ↔ Tendsto f (𝓝[s \ {x}] x) (𝓝 y) :=
tendsto_congr' <| eventually_nhdsWithin_iff.2 <| eventually_of_forall
fun z hz => update_noteq hz.2 _ _
|
import Mathlib.Data.Fin.Tuple.Basic
import Mathlib.Data.List.Join
#align_import data.list.of_fn from "leanprover-community/mathlib"@"bf27744463e9620ca4e4ebe951fe83530ae6949b"
universe u
variable {α : Type u}
open Nat
namespace List
#noalign list.length_of_fn_aux
@[simp]
theorem length_ofFn_go {n} (f : Fin n → α) (i j h) : length (ofFn.go f i j h) = i := by
induction i generalizing j <;> simp_all [ofFn.go]
@[simp]
theorem length_ofFn {n} (f : Fin n → α) : length (ofFn f) = n := by
simp [ofFn, length_ofFn_go]
#align list.length_of_fn List.length_ofFn
#noalign list.nth_of_fn_aux
theorem get_ofFn_go {n} (f : Fin n → α) (i j h) (k) (hk) :
get (ofFn.go f i j h) ⟨k, hk⟩ = f ⟨j + k, by simp at hk; omega⟩ := by
let i+1 := i
cases k <;> simp [ofFn.go, get_ofFn_go (i := i)]
congr 2; omega
-- Porting note (#10756): new theorem
@[simp]
theorem get_ofFn {n} (f : Fin n → α) (i) : get (ofFn f) i = f (Fin.cast (by simp) i) := by
cases i; simp [ofFn, get_ofFn_go]
@[simp]
theorem get?_ofFn {n} (f : Fin n → α) (i) : get? (ofFn f) i = ofFnNthVal f i :=
if h : i < (ofFn f).length
then by
rw [get?_eq_get h, get_ofFn]
· simp only [length_ofFn] at h; simp [ofFnNthVal, h]
else by
rw [ofFnNthVal, dif_neg] <;>
simpa using h
#align list.nth_of_fn List.get?_ofFn
set_option linter.deprecated false in
@[deprecated get_ofFn (since := "2023-01-17")]
theorem nthLe_ofFn {n} (f : Fin n → α) (i : Fin n) :
nthLe (ofFn f) i ((length_ofFn f).symm ▸ i.2) = f i := by
simp [nthLe]
#align list.nth_le_of_fn List.nthLe_ofFn
set_option linter.deprecated false in
@[simp, deprecated get_ofFn (since := "2023-01-17")]
theorem nthLe_ofFn' {n} (f : Fin n → α) {i : ℕ} (h : i < (ofFn f).length) :
nthLe (ofFn f) i h = f ⟨i, length_ofFn f ▸ h⟩ :=
nthLe_ofFn f ⟨i, length_ofFn f ▸ h⟩
#align list.nth_le_of_fn' List.nthLe_ofFn'
@[simp]
theorem map_ofFn {β : Type*} {n : ℕ} (f : Fin n → α) (g : α → β) :
map g (ofFn f) = ofFn (g ∘ f) :=
ext_get (by simp) fun i h h' => by simp
#align list.map_of_fn List.map_ofFn
-- Porting note: we don't have Array' in mathlib4
--
-- theorem array_eq_of_fn {n} (a : Array' n α) : a.toList = ofFn a.read :=
-- by
-- suffices ∀ {m h l}, DArray.revIterateAux a (fun i => cons) m h l =
-- ofFnAux (DArray.read a) m h l
-- from this
-- intros; induction' m with m IH generalizing l; · rfl
-- simp only [DArray.revIterateAux, of_fn_aux, IH]
-- #align list.array_eq_of_fn List.array_eq_of_fn
@[congr]
theorem ofFn_congr {m n : ℕ} (h : m = n) (f : Fin m → α) :
ofFn f = ofFn fun i : Fin n => f (Fin.cast h.symm i) := by
subst h
simp_rw [Fin.cast_refl, id]
#align list.of_fn_congr List.ofFn_congr
@[simp]
theorem ofFn_zero (f : Fin 0 → α) : ofFn f = [] :=
ext_get (by simp) (fun i hi₁ hi₂ => by contradiction)
#align list.of_fn_zero List.ofFn_zero
@[simp]
theorem ofFn_succ {n} (f : Fin (succ n) → α) : ofFn f = f 0 :: ofFn fun i => f i.succ :=
ext_get (by simp) (fun i hi₁ hi₂ => by
cases i
· simp; rfl
· simp)
#align list.of_fn_succ List.ofFn_succ
| Mathlib/Data/List/OfFn.lean | 125 | 131 | theorem ofFn_succ' {n} (f : Fin (succ n) → α) :
ofFn f = (ofFn fun i => f (Fin.castSucc i)).concat (f (Fin.last _)) := by |
induction' n with n IH
· rw [ofFn_zero, concat_nil, ofFn_succ, ofFn_zero]
rfl
· rw [ofFn_succ, IH, ofFn_succ, concat_cons, Fin.castSucc_zero]
congr
|
import Mathlib.Algebra.Module.Submodule.EqLocus
import Mathlib.Algebra.Module.Submodule.RestrictScalars
import Mathlib.Algebra.Ring.Idempotents
import Mathlib.Data.Set.Pointwise.SMul
import Mathlib.LinearAlgebra.Basic
import Mathlib.Order.CompactlyGenerated.Basic
import Mathlib.Order.OmegaCompletePartialOrder
#align_import linear_algebra.span from "leanprover-community/mathlib"@"10878f6bf1dab863445907ab23fbfcefcb5845d0"
variable {R R₂ K M M₂ V S : Type*}
namespace Submodule
open Function Set
open Pointwise
section AddCommMonoid
variable [Semiring R] [AddCommMonoid M] [Module R M]
variable {x : M} (p p' : Submodule R M)
variable [Semiring R₂] {σ₁₂ : R →+* R₂}
variable [AddCommMonoid M₂] [Module R₂ M₂]
variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F σ₁₂ M M₂]
section
variable (R)
def span (s : Set M) : Submodule R M :=
sInf { p | s ⊆ p }
#align submodule.span Submodule.span
variable {R}
-- Porting note: renamed field to `principal'` and added `principal` to fix explicit argument
@[mk_iff]
class IsPrincipal (S : Submodule R M) : Prop where
principal' : ∃ a, S = span R {a}
#align submodule.is_principal Submodule.IsPrincipal
theorem IsPrincipal.principal (S : Submodule R M) [S.IsPrincipal] :
∃ a, S = span R {a} :=
Submodule.IsPrincipal.principal'
#align submodule.is_principal.principal Submodule.IsPrincipal.principal
end
variable {s t : Set M}
theorem mem_span : x ∈ span R s ↔ ∀ p : Submodule R M, s ⊆ p → x ∈ p :=
mem_iInter₂
#align submodule.mem_span Submodule.mem_span
@[aesop safe 20 apply (rule_sets := [SetLike])]
theorem subset_span : s ⊆ span R s := fun _ h => mem_span.2 fun _ hp => hp h
#align submodule.subset_span Submodule.subset_span
theorem span_le {p} : span R s ≤ p ↔ s ⊆ p :=
⟨Subset.trans subset_span, fun ss _ h => mem_span.1 h _ ss⟩
#align submodule.span_le Submodule.span_le
theorem span_mono (h : s ⊆ t) : span R s ≤ span R t :=
span_le.2 <| Subset.trans h subset_span
#align submodule.span_mono Submodule.span_mono
theorem span_monotone : Monotone (span R : Set M → Submodule R M) := fun _ _ => span_mono
#align submodule.span_monotone Submodule.span_monotone
theorem span_eq_of_le (h₁ : s ⊆ p) (h₂ : p ≤ span R s) : span R s = p :=
le_antisymm (span_le.2 h₁) h₂
#align submodule.span_eq_of_le Submodule.span_eq_of_le
theorem span_eq : span R (p : Set M) = p :=
span_eq_of_le _ (Subset.refl _) subset_span
#align submodule.span_eq Submodule.span_eq
theorem span_eq_span (hs : s ⊆ span R t) (ht : t ⊆ span R s) : span R s = span R t :=
le_antisymm (span_le.2 hs) (span_le.2 ht)
#align submodule.span_eq_span Submodule.span_eq_span
lemma coe_span_eq_self [SetLike S M] [AddSubmonoidClass S M] [SMulMemClass S R M] (s : S) :
(span R (s : Set M) : Set M) = s := by
refine le_antisymm ?_ subset_span
let s' : Submodule R M :=
{ carrier := s
add_mem' := add_mem
zero_mem' := zero_mem _
smul_mem' := SMulMemClass.smul_mem }
exact span_le (p := s') |>.mpr le_rfl
@[simp]
theorem span_coe_eq_restrictScalars [Semiring S] [SMul S R] [Module S M] [IsScalarTower S R M] :
span S (p : Set M) = p.restrictScalars S :=
span_eq (p.restrictScalars S)
#align submodule.span_coe_eq_restrict_scalars Submodule.span_coe_eq_restrictScalars
theorem image_span_subset (f : F) (s : Set M) (N : Submodule R₂ M₂) :
f '' span R s ⊆ N ↔ ∀ m ∈ s, f m ∈ N := image_subset_iff.trans <| span_le (p := N.comap f)
theorem image_span_subset_span (f : F) (s : Set M) : f '' span R s ⊆ span R₂ (f '' s) :=
(image_span_subset f s _).2 fun x hx ↦ subset_span ⟨x, hx, rfl⟩
theorem map_span [RingHomSurjective σ₁₂] (f : F) (s : Set M) :
(span R s).map f = span R₂ (f '' s) :=
Eq.symm <| span_eq_of_le _ (Set.image_subset f subset_span) (image_span_subset_span f s)
#align submodule.map_span Submodule.map_span
alias _root_.LinearMap.map_span := Submodule.map_span
#align linear_map.map_span LinearMap.map_span
theorem map_span_le [RingHomSurjective σ₁₂] (f : F) (s : Set M) (N : Submodule R₂ M₂) :
map f (span R s) ≤ N ↔ ∀ m ∈ s, f m ∈ N := image_span_subset f s N
#align submodule.map_span_le Submodule.map_span_le
alias _root_.LinearMap.map_span_le := Submodule.map_span_le
#align linear_map.map_span_le LinearMap.map_span_le
@[simp]
theorem span_insert_zero : span R (insert (0 : M) s) = span R s := by
refine le_antisymm ?_ (Submodule.span_mono (Set.subset_insert 0 s))
rw [span_le, Set.insert_subset_iff]
exact ⟨by simp only [SetLike.mem_coe, Submodule.zero_mem], Submodule.subset_span⟩
#align submodule.span_insert_zero Submodule.span_insert_zero
-- See also `span_preimage_eq` below.
theorem span_preimage_le (f : F) (s : Set M₂) :
span R (f ⁻¹' s) ≤ (span R₂ s).comap f := by
rw [span_le, comap_coe]
exact preimage_mono subset_span
#align submodule.span_preimage_le Submodule.span_preimage_le
alias _root_.LinearMap.span_preimage_le := Submodule.span_preimage_le
#align linear_map.span_preimage_le LinearMap.span_preimage_le
theorem closure_subset_span {s : Set M} : (AddSubmonoid.closure s : Set M) ⊆ span R s :=
(@AddSubmonoid.closure_le _ _ _ (span R s).toAddSubmonoid).mpr subset_span
#align submodule.closure_subset_span Submodule.closure_subset_span
theorem closure_le_toAddSubmonoid_span {s : Set M} :
AddSubmonoid.closure s ≤ (span R s).toAddSubmonoid :=
closure_subset_span
#align submodule.closure_le_to_add_submonoid_span Submodule.closure_le_toAddSubmonoid_span
@[simp]
theorem span_closure {s : Set M} : span R (AddSubmonoid.closure s : Set M) = span R s :=
le_antisymm (span_le.mpr closure_subset_span) (span_mono AddSubmonoid.subset_closure)
#align submodule.span_closure Submodule.span_closure
@[elab_as_elim]
theorem span_induction {p : M → Prop} (h : x ∈ span R s) (mem : ∀ x ∈ s, p x) (zero : p 0)
(add : ∀ x y, p x → p y → p (x + y)) (smul : ∀ (a : R) (x), p x → p (a • x)) : p x :=
((@span_le (p := ⟨⟨⟨p, by intros x y; exact add x y⟩, zero⟩, smul⟩)) s).2 mem h
#align submodule.span_induction Submodule.span_induction
theorem span_induction₂ {p : M → M → Prop} {a b : M} (ha : a ∈ Submodule.span R s)
(hb : b ∈ Submodule.span R s) (mem_mem : ∀ x ∈ s, ∀ y ∈ s, p x y)
(zero_left : ∀ y, p 0 y) (zero_right : ∀ x, p x 0)
(add_left : ∀ x₁ x₂ y, p x₁ y → p x₂ y → p (x₁ + x₂) y)
(add_right : ∀ x y₁ y₂, p x y₁ → p x y₂ → p x (y₁ + y₂))
(smul_left : ∀ (r : R) x y, p x y → p (r • x) y)
(smul_right : ∀ (r : R) x y, p x y → p x (r • y)) : p a b :=
Submodule.span_induction ha
(fun x hx => Submodule.span_induction hb (mem_mem x hx) (zero_right x) (add_right x) fun r =>
smul_right r x)
(zero_left b) (fun x₁ x₂ => add_left x₁ x₂ b) fun r x => smul_left r x b
@[elab_as_elim]
theorem span_induction' {p : ∀ x, x ∈ span R s → Prop}
(mem : ∀ (x) (h : x ∈ s), p x (subset_span h))
(zero : p 0 (Submodule.zero_mem _))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›))
(smul : ∀ (a : R) (x hx), p x hx → p (a • x) (Submodule.smul_mem _ _ ‹_›)) {x}
(hx : x ∈ span R s) : p x hx := by
refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) => hc
refine
span_induction hx (fun m hm => ⟨subset_span hm, mem m hm⟩) ⟨zero_mem _, zero⟩
(fun x y hx hy =>
Exists.elim hx fun hx' hx =>
Exists.elim hy fun hy' hy => ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩)
fun r x hx => Exists.elim hx fun hx' hx => ⟨smul_mem _ _ hx', smul r _ _ hx⟩
#align submodule.span_induction' Submodule.span_induction'
open AddSubmonoid in
theorem span_eq_closure {s : Set M} : (span R s).toAddSubmonoid = closure (@univ R • s) := by
refine le_antisymm
(fun x hx ↦ span_induction hx (fun x hx ↦ subset_closure ⟨1, trivial, x, hx, one_smul R x⟩)
(zero_mem _) (fun _ _ ↦ add_mem) fun r m hm ↦ closure_induction hm ?_ ?_ fun _ _ h h' ↦ ?_)
(closure_le.2 ?_)
· rintro _ ⟨r, -, m, hm, rfl⟩; exact smul_mem _ _ (subset_span hm)
· rintro _ ⟨r', -, m, hm, rfl⟩; exact subset_closure ⟨r * r', trivial, m, hm, mul_smul r r' m⟩
· rw [smul_zero]; apply zero_mem
· rw [smul_add]; exact add_mem h h'
@[elab_as_elim]
theorem closure_induction {p : M → Prop} (h : x ∈ span R s) (zero : p 0)
(add : ∀ x y, p x → p y → p (x + y)) (smul_mem : ∀ r : R, ∀ x ∈ s, p (r • x)) : p x := by
rw [← mem_toAddSubmonoid, span_eq_closure] at h
refine AddSubmonoid.closure_induction h ?_ zero add
rintro _ ⟨r, -, m, hm, rfl⟩
exact smul_mem r m hm
@[elab_as_elim]
theorem closure_induction' {p : ∀ x, x ∈ span R s → Prop}
(zero : p 0 (Submodule.zero_mem _))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›))
(smul_mem : ∀ (r x) (h : x ∈ s), p (r • x) (Submodule.smul_mem _ _ <| subset_span h)) {x}
(hx : x ∈ span R s) : p x hx := by
refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) ↦ hc
refine closure_induction hx ⟨zero_mem _, zero⟩
(fun x y hx hy ↦ Exists.elim hx fun hx' hx ↦
Exists.elim hy fun hy' hy ↦ ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩)
fun r x hx ↦ ⟨Submodule.smul_mem _ _ (subset_span hx), smul_mem r x hx⟩
@[simp]
theorem span_span_coe_preimage : span R (((↑) : span R s → M) ⁻¹' s) = ⊤ :=
eq_top_iff.2 fun x ↦ Subtype.recOn x fun x hx _ ↦ by
refine span_induction' (p := fun x hx ↦ (⟨x, hx⟩ : span R s) ∈ span R (Subtype.val ⁻¹' s))
(fun x' hx' ↦ subset_span hx') ?_ (fun x _ y _ ↦ ?_) (fun r x _ ↦ ?_) hx
· exact zero_mem _
· exact add_mem
· exact smul_mem _ _
#align submodule.span_span_coe_preimage Submodule.span_span_coe_preimage
@[simp]
lemma span_setOf_mem_eq_top :
span R {x : span R s | (x : M) ∈ s} = ⊤ :=
span_span_coe_preimage
theorem span_nat_eq_addSubmonoid_closure (s : Set M) :
(span ℕ s).toAddSubmonoid = AddSubmonoid.closure s := by
refine Eq.symm (AddSubmonoid.closure_eq_of_le subset_span ?_)
apply (OrderIso.to_galoisConnection (AddSubmonoid.toNatSubmodule (M := M)).symm).l_le
(a := span ℕ s) (b := AddSubmonoid.closure s)
rw [span_le]
exact AddSubmonoid.subset_closure
#align submodule.span_nat_eq_add_submonoid_closure Submodule.span_nat_eq_addSubmonoid_closure
@[simp]
theorem span_nat_eq (s : AddSubmonoid M) : (span ℕ (s : Set M)).toAddSubmonoid = s := by
rw [span_nat_eq_addSubmonoid_closure, s.closure_eq]
#align submodule.span_nat_eq Submodule.span_nat_eq
theorem span_int_eq_addSubgroup_closure {M : Type*} [AddCommGroup M] (s : Set M) :
(span ℤ s).toAddSubgroup = AddSubgroup.closure s :=
Eq.symm <|
AddSubgroup.closure_eq_of_le _ subset_span fun x hx =>
span_induction hx (fun x hx => AddSubgroup.subset_closure hx) (AddSubgroup.zero_mem _)
(fun _ _ => AddSubgroup.add_mem _) fun _ _ _ => AddSubgroup.zsmul_mem _ ‹_› _
#align submodule.span_int_eq_add_subgroup_closure Submodule.span_int_eq_addSubgroup_closure
@[simp]
theorem span_int_eq {M : Type*} [AddCommGroup M] (s : AddSubgroup M) :
(span ℤ (s : Set M)).toAddSubgroup = s := by rw [span_int_eq_addSubgroup_closure, s.closure_eq]
#align submodule.span_int_eq Submodule.span_int_eq
section
variable (R M)
protected def gi : GaloisInsertion (@span R M _ _ _) (↑) where
choice s _ := span R s
gc _ _ := span_le
le_l_u _ := subset_span
choice_eq _ _ := rfl
#align submodule.gi Submodule.gi
end
@[simp]
theorem span_empty : span R (∅ : Set M) = ⊥ :=
(Submodule.gi R M).gc.l_bot
#align submodule.span_empty Submodule.span_empty
@[simp]
theorem span_univ : span R (univ : Set M) = ⊤ :=
eq_top_iff.2 <| SetLike.le_def.2 <| subset_span
#align submodule.span_univ Submodule.span_univ
theorem span_union (s t : Set M) : span R (s ∪ t) = span R s ⊔ span R t :=
(Submodule.gi R M).gc.l_sup
#align submodule.span_union Submodule.span_union
theorem span_iUnion {ι} (s : ι → Set M) : span R (⋃ i, s i) = ⨆ i, span R (s i) :=
(Submodule.gi R M).gc.l_iSup
#align submodule.span_Union Submodule.span_iUnion
theorem span_iUnion₂ {ι} {κ : ι → Sort*} (s : ∀ i, κ i → Set M) :
span R (⋃ (i) (j), s i j) = ⨆ (i) (j), span R (s i j) :=
(Submodule.gi R M).gc.l_iSup₂
#align submodule.span_Union₂ Submodule.span_iUnion₂
theorem span_attach_biUnion [DecidableEq M] {α : Type*} (s : Finset α) (f : s → Finset M) :
span R (s.attach.biUnion f : Set M) = ⨆ x, span R (f x) := by simp [span_iUnion]
#align submodule.span_attach_bUnion Submodule.span_attach_biUnion
theorem sup_span : p ⊔ span R s = span R (p ∪ s) := by rw [Submodule.span_union, p.span_eq]
#align submodule.sup_span Submodule.sup_span
theorem span_sup : span R s ⊔ p = span R (s ∪ p) := by rw [Submodule.span_union, p.span_eq]
#align submodule.span_sup Submodule.span_sup
notation:1000
R " ∙ " x => span R (singleton x)
theorem span_eq_iSup_of_singleton_spans (s : Set M) : span R s = ⨆ x ∈ s, R ∙ x := by
simp only [← span_iUnion, Set.biUnion_of_singleton s]
#align submodule.span_eq_supr_of_singleton_spans Submodule.span_eq_iSup_of_singleton_spans
theorem span_range_eq_iSup {ι : Sort*} {v : ι → M} : span R (range v) = ⨆ i, R ∙ v i := by
rw [span_eq_iSup_of_singleton_spans, iSup_range]
#align submodule.span_range_eq_supr Submodule.span_range_eq_iSup
theorem span_smul_le (s : Set M) (r : R) : span R (r • s) ≤ span R s := by
rw [span_le]
rintro _ ⟨x, hx, rfl⟩
exact smul_mem (span R s) r (subset_span hx)
#align submodule.span_smul_le Submodule.span_smul_le
theorem subset_span_trans {U V W : Set M} (hUV : U ⊆ Submodule.span R V)
(hVW : V ⊆ Submodule.span R W) : U ⊆ Submodule.span R W :=
(Submodule.gi R M).gc.le_u_l_trans hUV hVW
#align submodule.subset_span_trans Submodule.subset_span_trans
theorem span_smul_eq_of_isUnit (s : Set M) (r : R) (hr : IsUnit r) : span R (r • s) = span R s := by
apply le_antisymm
· apply span_smul_le
· convert span_smul_le (r • s) ((hr.unit⁻¹ : _) : R)
rw [smul_smul]
erw [hr.unit.inv_val]
rw [one_smul]
#align submodule.span_smul_eq_of_is_unit Submodule.span_smul_eq_of_isUnit
@[simp]
theorem coe_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M)
(H : Directed (· ≤ ·) S) : ((iSup S: Submodule R M) : Set M) = ⋃ i, S i :=
let s : Submodule R M :=
{ __ := AddSubmonoid.copy _ _ (AddSubmonoid.coe_iSup_of_directed H).symm
smul_mem' := fun r _ hx ↦ have ⟨i, hi⟩ := Set.mem_iUnion.mp hx
Set.mem_iUnion.mpr ⟨i, (S i).smul_mem' r hi⟩ }
have : iSup S = s := le_antisymm
(iSup_le fun i ↦ le_iSup (fun i ↦ (S i : Set M)) i) (Set.iUnion_subset fun _ ↦ le_iSup S _)
this.symm ▸ rfl
#align submodule.coe_supr_of_directed Submodule.coe_iSup_of_directed
@[simp]
theorem mem_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M) (H : Directed (· ≤ ·) S) {x} :
x ∈ iSup S ↔ ∃ i, x ∈ S i := by
rw [← SetLike.mem_coe, coe_iSup_of_directed S H, mem_iUnion]
rfl
#align submodule.mem_supr_of_directed Submodule.mem_iSup_of_directed
theorem mem_sSup_of_directed {s : Set (Submodule R M)} {z} (hs : s.Nonempty)
(hdir : DirectedOn (· ≤ ·) s) : z ∈ sSup s ↔ ∃ y ∈ s, z ∈ y := by
have : Nonempty s := hs.to_subtype
simp only [sSup_eq_iSup', mem_iSup_of_directed _ hdir.directed_val, SetCoe.exists, Subtype.coe_mk,
exists_prop]
#align submodule.mem_Sup_of_directed Submodule.mem_sSup_of_directed
@[norm_cast, simp]
theorem coe_iSup_of_chain (a : ℕ →o Submodule R M) : (↑(⨆ k, a k) : Set M) = ⋃ k, (a k : Set M) :=
coe_iSup_of_directed a a.monotone.directed_le
#align submodule.coe_supr_of_chain Submodule.coe_iSup_of_chain
theorem coe_scott_continuous :
OmegaCompletePartialOrder.Continuous' ((↑) : Submodule R M → Set M) :=
⟨SetLike.coe_mono, coe_iSup_of_chain⟩
#align submodule.coe_scott_continuous Submodule.coe_scott_continuous
@[simp]
theorem mem_iSup_of_chain (a : ℕ →o Submodule R M) (m : M) : (m ∈ ⨆ k, a k) ↔ ∃ k, m ∈ a k :=
mem_iSup_of_directed a a.monotone.directed_le
#align submodule.mem_supr_of_chain Submodule.mem_iSup_of_chain
section
variable {p p'}
theorem mem_sup : x ∈ p ⊔ p' ↔ ∃ y ∈ p, ∃ z ∈ p', y + z = x :=
⟨fun h => by
rw [← span_eq p, ← span_eq p', ← span_union] at h
refine span_induction h ?_ ?_ ?_ ?_
· rintro y (h | h)
· exact ⟨y, h, 0, by simp, by simp⟩
· exact ⟨0, by simp, y, h, by simp⟩
· exact ⟨0, by simp, 0, by simp⟩
· rintro _ _ ⟨y₁, hy₁, z₁, hz₁, rfl⟩ ⟨y₂, hy₂, z₂, hz₂, rfl⟩
exact ⟨_, add_mem hy₁ hy₂, _, add_mem hz₁ hz₂, by
rw [add_assoc, add_assoc, ← add_assoc y₂, ← add_assoc z₁, add_comm y₂]⟩
· rintro a _ ⟨y, hy, z, hz, rfl⟩
exact ⟨_, smul_mem _ a hy, _, smul_mem _ a hz, by simp [smul_add]⟩, by
rintro ⟨y, hy, z, hz, rfl⟩
exact add_mem ((le_sup_left : p ≤ p ⊔ p') hy) ((le_sup_right : p' ≤ p ⊔ p') hz)⟩
#align submodule.mem_sup Submodule.mem_sup
theorem mem_sup' : x ∈ p ⊔ p' ↔ ∃ (y : p) (z : p'), (y : M) + z = x :=
mem_sup.trans <| by simp only [Subtype.exists, exists_prop]
#align submodule.mem_sup' Submodule.mem_sup'
lemma exists_add_eq_of_codisjoint (h : Codisjoint p p') (x : M) :
∃ y ∈ p, ∃ z ∈ p', y + z = x := by
suffices x ∈ p ⊔ p' by exact Submodule.mem_sup.mp this
simpa only [h.eq_top] using Submodule.mem_top
variable (p p')
theorem coe_sup : ↑(p ⊔ p') = (p + p' : Set M) := by
ext
rw [SetLike.mem_coe, mem_sup, Set.mem_add]
simp
#align submodule.coe_sup Submodule.coe_sup
theorem sup_toAddSubmonoid : (p ⊔ p').toAddSubmonoid = p.toAddSubmonoid ⊔ p'.toAddSubmonoid := by
ext x
rw [mem_toAddSubmonoid, mem_sup, AddSubmonoid.mem_sup]
rfl
#align submodule.sup_to_add_submonoid Submodule.sup_toAddSubmonoid
theorem sup_toAddSubgroup {R M : Type*} [Ring R] [AddCommGroup M] [Module R M]
(p p' : Submodule R M) : (p ⊔ p').toAddSubgroup = p.toAddSubgroup ⊔ p'.toAddSubgroup := by
ext x
rw [mem_toAddSubgroup, mem_sup, AddSubgroup.mem_sup]
rfl
#align submodule.sup_to_add_subgroup Submodule.sup_toAddSubgroup
end
theorem mem_span_singleton_self (x : M) : x ∈ R ∙ x :=
subset_span rfl
#align submodule.mem_span_singleton_self Submodule.mem_span_singleton_self
theorem nontrivial_span_singleton {x : M} (h : x ≠ 0) : Nontrivial (R ∙ x) :=
⟨by
use 0, ⟨x, Submodule.mem_span_singleton_self x⟩
intro H
rw [eq_comm, Submodule.mk_eq_zero] at H
exact h H⟩
#align submodule.nontrivial_span_singleton Submodule.nontrivial_span_singleton
theorem mem_span_singleton {y : M} : (x ∈ R ∙ y) ↔ ∃ a : R, a • y = x :=
⟨fun h => by
refine span_induction h ?_ ?_ ?_ ?_
· rintro y (rfl | ⟨⟨_⟩⟩)
exact ⟨1, by simp⟩
· exact ⟨0, by simp⟩
· rintro _ _ ⟨a, rfl⟩ ⟨b, rfl⟩
exact ⟨a + b, by simp [add_smul]⟩
· rintro a _ ⟨b, rfl⟩
exact ⟨a * b, by simp [smul_smul]⟩, by
rintro ⟨a, y, rfl⟩; exact smul_mem _ _ (subset_span <| by simp)⟩
#align submodule.mem_span_singleton Submodule.mem_span_singleton
theorem le_span_singleton_iff {s : Submodule R M} {v₀ : M} :
(s ≤ R ∙ v₀) ↔ ∀ v ∈ s, ∃ r : R, r • v₀ = v := by simp_rw [SetLike.le_def, mem_span_singleton]
#align submodule.le_span_singleton_iff Submodule.le_span_singleton_iff
variable (R)
theorem span_singleton_eq_top_iff (x : M) : (R ∙ x) = ⊤ ↔ ∀ v, ∃ r : R, r • x = v := by
rw [eq_top_iff, le_span_singleton_iff]
tauto
#align submodule.span_singleton_eq_top_iff Submodule.span_singleton_eq_top_iff
@[simp]
theorem span_zero_singleton : (R ∙ (0 : M)) = ⊥ := by
ext
simp [mem_span_singleton, eq_comm]
#align submodule.span_zero_singleton Submodule.span_zero_singleton
theorem span_singleton_eq_range (y : M) : ↑(R ∙ y) = range ((· • y) : R → M) :=
Set.ext fun _ => mem_span_singleton
#align submodule.span_singleton_eq_range Submodule.span_singleton_eq_range
theorem span_singleton_smul_le {S} [Monoid S] [SMul S R] [MulAction S M] [IsScalarTower S R M]
(r : S) (x : M) : (R ∙ r • x) ≤ R ∙ x := by
rw [span_le, Set.singleton_subset_iff, SetLike.mem_coe]
exact smul_of_tower_mem _ _ (mem_span_singleton_self _)
#align submodule.span_singleton_smul_le Submodule.span_singleton_smul_le
theorem span_singleton_group_smul_eq {G} [Group G] [SMul G R] [MulAction G M] [IsScalarTower G R M]
(g : G) (x : M) : (R ∙ g • x) = R ∙ x := by
refine le_antisymm (span_singleton_smul_le R g x) ?_
convert span_singleton_smul_le R g⁻¹ (g • x)
exact (inv_smul_smul g x).symm
#align submodule.span_singleton_group_smul_eq Submodule.span_singleton_group_smul_eq
variable {R}
theorem span_singleton_smul_eq {r : R} (hr : IsUnit r) (x : M) : (R ∙ r • x) = R ∙ x := by
lift r to Rˣ using hr
rw [← Units.smul_def]
exact span_singleton_group_smul_eq R r x
#align submodule.span_singleton_smul_eq Submodule.span_singleton_smul_eq
theorem disjoint_span_singleton {K E : Type*} [DivisionRing K] [AddCommGroup E] [Module K E]
{s : Submodule K E} {x : E} : Disjoint s (K ∙ x) ↔ x ∈ s → x = 0 := by
refine disjoint_def.trans ⟨fun H hx => H x hx <| subset_span <| mem_singleton x, ?_⟩
intro H y hy hyx
obtain ⟨c, rfl⟩ := mem_span_singleton.1 hyx
by_cases hc : c = 0
· rw [hc, zero_smul]
· rw [s.smul_mem_iff hc] at hy
rw [H hy, smul_zero]
#align submodule.disjoint_span_singleton Submodule.disjoint_span_singleton
theorem disjoint_span_singleton' {K E : Type*} [DivisionRing K] [AddCommGroup E] [Module K E]
{p : Submodule K E} {x : E} (x0 : x ≠ 0) : Disjoint p (K ∙ x) ↔ x ∉ p :=
disjoint_span_singleton.trans ⟨fun h₁ h₂ => x0 (h₁ h₂), fun h₁ h₂ => (h₁ h₂).elim⟩
#align submodule.disjoint_span_singleton' Submodule.disjoint_span_singleton'
theorem mem_span_singleton_trans {x y z : M} (hxy : x ∈ R ∙ y) (hyz : y ∈ R ∙ z) : x ∈ R ∙ z := by
rw [← SetLike.mem_coe, ← singleton_subset_iff] at *
exact Submodule.subset_span_trans hxy hyz
#align submodule.mem_span_singleton_trans Submodule.mem_span_singleton_trans
theorem span_insert (x) (s : Set M) : span R (insert x s) = (R ∙ x) ⊔ span R s := by
rw [insert_eq, span_union]
#align submodule.span_insert Submodule.span_insert
theorem span_insert_eq_span (h : x ∈ span R s) : span R (insert x s) = span R s :=
span_eq_of_le _ (Set.insert_subset_iff.mpr ⟨h, subset_span⟩) (span_mono <| subset_insert _ _)
#align submodule.span_insert_eq_span Submodule.span_insert_eq_span
theorem span_span : span R (span R s : Set M) = span R s :=
span_eq _
#align submodule.span_span Submodule.span_span
theorem mem_span_insert {y} :
x ∈ span R (insert y s) ↔ ∃ a : R, ∃ z ∈ span R s, x = a • y + z := by
simp [span_insert, mem_sup, mem_span_singleton, eq_comm (a := x)]
#align submodule.mem_span_insert Submodule.mem_span_insert
theorem mem_span_pair {x y z : M} :
z ∈ span R ({x, y} : Set M) ↔ ∃ a b : R, a • x + b • y = z := by
simp_rw [mem_span_insert, mem_span_singleton, exists_exists_eq_and, eq_comm]
#align submodule.mem_span_pair Submodule.mem_span_pair
variable (R S s)
theorem span_le_restrictScalars [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] :
span R s ≤ (span S s).restrictScalars R :=
Submodule.span_le.2 Submodule.subset_span
#align submodule.span_le_restrict_scalars Submodule.span_le_restrictScalars
@[simp]
theorem span_subset_span [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] :
↑(span R s) ⊆ (span S s : Set M) :=
span_le_restrictScalars R S s
#align submodule.span_subset_span Submodule.span_subset_span
theorem span_span_of_tower [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] :
span S (span R s : Set M) = span S s :=
le_antisymm (span_le.2 <| span_subset_span R S s) (span_mono subset_span)
#align submodule.span_span_of_tower Submodule.span_span_of_tower
variable {R S s}
theorem span_eq_bot : span R (s : Set M) = ⊥ ↔ ∀ x ∈ s, (x : M) = 0 :=
eq_bot_iff.trans
⟨fun H _ h => (mem_bot R).1 <| H <| subset_span h, fun H =>
span_le.2 fun x h => (mem_bot R).2 <| H x h⟩
#align submodule.span_eq_bot Submodule.span_eq_bot
@[simp]
theorem span_singleton_eq_bot : (R ∙ x) = ⊥ ↔ x = 0 :=
span_eq_bot.trans <| by simp
#align submodule.span_singleton_eq_bot Submodule.span_singleton_eq_bot
@[simp]
theorem span_zero : span R (0 : Set M) = ⊥ := by rw [← singleton_zero, span_singleton_eq_bot]
#align submodule.span_zero Submodule.span_zero
@[simp]
theorem span_singleton_le_iff_mem (m : M) (p : Submodule R M) : (R ∙ m) ≤ p ↔ m ∈ p := by
rw [span_le, singleton_subset_iff, SetLike.mem_coe]
#align submodule.span_singleton_le_iff_mem Submodule.span_singleton_le_iff_mem
theorem span_singleton_eq_span_singleton {R M : Type*} [Ring R] [AddCommGroup M] [Module R M]
[NoZeroSMulDivisors R M] {x y : M} : ((R ∙ x) = R ∙ y) ↔ ∃ z : Rˣ, z • x = y := by
constructor
· simp only [le_antisymm_iff, span_singleton_le_iff_mem, mem_span_singleton]
rintro ⟨⟨a, rfl⟩, b, hb⟩
rcases eq_or_ne y 0 with rfl | hy; · simp
refine ⟨⟨b, a, ?_, ?_⟩, hb⟩
· apply smul_left_injective R hy
simpa only [mul_smul, one_smul]
· rw [← hb] at hy
apply smul_left_injective R (smul_ne_zero_iff.1 hy).2
simp only [mul_smul, one_smul, hb]
· rintro ⟨u, rfl⟩
exact (span_singleton_group_smul_eq _ _ _).symm
#align submodule.span_singleton_eq_span_singleton Submodule.span_singleton_eq_span_singleton
-- Should be `@[simp]` but doesn't fire due to `lean4#3701`.
theorem span_image [RingHomSurjective σ₁₂] (f : F) :
span R₂ (f '' s) = map f (span R s) :=
(map_span f s).symm
#align submodule.span_image Submodule.span_image
@[simp] -- Should be replaced with `Submodule.span_image` when `lean4#3701` is fixed.
theorem span_image' [RingHomSurjective σ₁₂] (f : M →ₛₗ[σ₁₂] M₂) :
span R₂ (f '' s) = map f (span R s) :=
span_image _
theorem apply_mem_span_image_of_mem_span [RingHomSurjective σ₁₂] (f : F) {x : M}
{s : Set M} (h : x ∈ Submodule.span R s) : f x ∈ Submodule.span R₂ (f '' s) := by
rw [Submodule.span_image]
exact Submodule.mem_map_of_mem h
#align submodule.apply_mem_span_image_of_mem_span Submodule.apply_mem_span_image_of_mem_span
theorem apply_mem_span_image_iff_mem_span [RingHomSurjective σ₁₂] {f : F} {x : M}
{s : Set M} (hf : Function.Injective f) :
f x ∈ Submodule.span R₂ (f '' s) ↔ x ∈ Submodule.span R s := by
rw [← Submodule.mem_comap, ← Submodule.map_span, Submodule.comap_map_eq_of_injective hf]
@[simp]
theorem map_subtype_span_singleton {p : Submodule R M} (x : p) :
map p.subtype (R ∙ x) = R ∙ (x : M) := by simp [← span_image]
#align submodule.map_subtype_span_singleton Submodule.map_subtype_span_singleton
theorem not_mem_span_of_apply_not_mem_span_image [RingHomSurjective σ₁₂] (f : F) {x : M}
{s : Set M} (h : f x ∉ Submodule.span R₂ (f '' s)) : x ∉ Submodule.span R s :=
h.imp (apply_mem_span_image_of_mem_span f)
#align submodule.not_mem_span_of_apply_not_mem_span_image Submodule.not_mem_span_of_apply_not_mem_span_image
theorem iSup_span {ι : Sort*} (p : ι → Set M) : ⨆ i, span R (p i) = span R (⋃ i, p i) :=
le_antisymm (iSup_le fun i => span_mono <| subset_iUnion _ i) <|
span_le.mpr <| iUnion_subset fun i _ hm => mem_iSup_of_mem i <| subset_span hm
#align submodule.supr_span Submodule.iSup_span
theorem iSup_eq_span {ι : Sort*} (p : ι → Submodule R M) : ⨆ i, p i = span R (⋃ i, ↑(p i)) := by
simp_rw [← iSup_span, span_eq]
#align submodule.supr_eq_span Submodule.iSup_eq_span
theorem iSup_toAddSubmonoid {ι : Sort*} (p : ι → Submodule R M) :
(⨆ i, p i).toAddSubmonoid = ⨆ i, (p i).toAddSubmonoid := by
refine le_antisymm (fun x => ?_) (iSup_le fun i => toAddSubmonoid_mono <| le_iSup _ i)
simp_rw [iSup_eq_span, AddSubmonoid.iSup_eq_closure, mem_toAddSubmonoid, coe_toAddSubmonoid]
intro hx
refine Submodule.span_induction hx (fun x hx => ?_) ?_ (fun x y hx hy => ?_) fun r x hx => ?_
· exact AddSubmonoid.subset_closure hx
· exact AddSubmonoid.zero_mem _
· exact AddSubmonoid.add_mem _ hx hy
· refine AddSubmonoid.closure_induction hx ?_ ?_ ?_
· rintro x ⟨_, ⟨i, rfl⟩, hix : x ∈ p i⟩
apply AddSubmonoid.subset_closure (Set.mem_iUnion.mpr ⟨i, _⟩)
exact smul_mem _ r hix
· rw [smul_zero]
exact AddSubmonoid.zero_mem _
· intro x y hx hy
rw [smul_add]
exact AddSubmonoid.add_mem _ hx hy
#align submodule.supr_to_add_submonoid Submodule.iSup_toAddSubmonoid
@[elab_as_elim]
theorem iSup_induction {ι : Sort*} (p : ι → Submodule R M) {C : M → Prop} {x : M}
(hx : x ∈ ⨆ i, p i) (hp : ∀ (i), ∀ x ∈ p i, C x) (h0 : C 0)
(hadd : ∀ x y, C x → C y → C (x + y)) : C x := by
rw [← mem_toAddSubmonoid, iSup_toAddSubmonoid] at hx
exact AddSubmonoid.iSup_induction (x := x) _ hx hp h0 hadd
#align submodule.supr_induction Submodule.iSup_induction
@[elab_as_elim]
theorem iSup_induction' {ι : Sort*} (p : ι → Submodule R M) {C : ∀ x, (x ∈ ⨆ i, p i) → Prop}
(mem : ∀ (i) (x) (hx : x ∈ p i), C x (mem_iSup_of_mem i hx)) (zero : C 0 (zero_mem _))
(add : ∀ x y hx hy, C x hx → C y hy → C (x + y) (add_mem ‹_› ‹_›)) {x : M}
(hx : x ∈ ⨆ i, p i) : C x hx := by
refine Exists.elim ?_ fun (hx : x ∈ ⨆ i, p i) (hc : C x hx) => hc
refine iSup_induction p (C := fun x : M ↦ ∃ (hx : x ∈ ⨆ i, p i), C x hx) hx
(fun i x hx => ?_) ?_ fun x y => ?_
· exact ⟨_, mem _ _ hx⟩
· exact ⟨_, zero⟩
· rintro ⟨_, Cx⟩ ⟨_, Cy⟩
exact ⟨_, add _ _ _ _ Cx Cy⟩
#align submodule.supr_induction' Submodule.iSup_induction'
theorem singleton_span_isCompactElement (x : M) :
CompleteLattice.IsCompactElement (span R {x} : Submodule R M) := by
rw [CompleteLattice.isCompactElement_iff_le_of_directed_sSup_le]
intro d hemp hdir hsup
have : x ∈ (sSup d) := (SetLike.le_def.mp hsup) (mem_span_singleton_self x)
obtain ⟨y, ⟨hyd, hxy⟩⟩ := (mem_sSup_of_directed hemp hdir).mp this
exact ⟨y, ⟨hyd, by simpa only [span_le, singleton_subset_iff] ⟩⟩
#align submodule.singleton_span_is_compact_element Submodule.singleton_span_isCompactElement
theorem finset_span_isCompactElement (S : Finset M) :
CompleteLattice.IsCompactElement (span R S : Submodule R M) := by
rw [span_eq_iSup_of_singleton_spans]
simp only [Finset.mem_coe]
rw [← Finset.sup_eq_iSup]
exact
CompleteLattice.isCompactElement_finsetSup S fun x _ => singleton_span_isCompactElement x
#align submodule.finset_span_is_compact_element Submodule.finset_span_isCompactElement
theorem finite_span_isCompactElement (S : Set M) (h : S.Finite) :
CompleteLattice.IsCompactElement (span R S : Submodule R M) :=
Finite.coe_toFinset h ▸ finset_span_isCompactElement h.toFinset
#align submodule.finite_span_is_compact_element Submodule.finite_span_isCompactElement
instance : IsCompactlyGenerated (Submodule R M) :=
⟨fun s =>
⟨(fun x => span R {x}) '' s,
⟨fun t ht => by
rcases (Set.mem_image _ _ _).1 ht with ⟨x, _, rfl⟩
apply singleton_span_isCompactElement, by
rw [sSup_eq_iSup, iSup_image, ← span_eq_iSup_of_singleton_spans, span_eq]⟩⟩⟩
theorem submodule_eq_sSup_le_nonzero_spans (p : Submodule R M) :
p = sSup { T : Submodule R M | ∃ m ∈ p, m ≠ 0 ∧ T = span R {m} } := by
let S := { T : Submodule R M | ∃ m ∈ p, m ≠ 0 ∧ T = span R {m} }
apply le_antisymm
· intro m hm
by_cases h : m = 0
· rw [h]
simp
· exact @le_sSup _ _ S _ ⟨m, ⟨hm, ⟨h, rfl⟩⟩⟩ m (mem_span_singleton_self m)
· rw [sSup_le_iff]
rintro S ⟨_, ⟨_, ⟨_, rfl⟩⟩⟩
rwa [span_singleton_le_iff_mem]
#align submodule.submodule_eq_Sup_le_nonzero_spans Submodule.submodule_eq_sSup_le_nonzero_spans
theorem lt_sup_iff_not_mem {I : Submodule R M} {a : M} : (I < I ⊔ R ∙ a) ↔ a ∉ I := by simp
#align submodule.lt_sup_iff_not_mem Submodule.lt_sup_iff_not_mem
theorem mem_iSup {ι : Sort*} (p : ι → Submodule R M) {m : M} :
(m ∈ ⨆ i, p i) ↔ ∀ N, (∀ i, p i ≤ N) → m ∈ N := by
rw [← span_singleton_le_iff_mem, le_iSup_iff]
simp only [span_singleton_le_iff_mem]
#align submodule.mem_supr Submodule.mem_iSup
theorem mem_sSup {s : Set (Submodule R M)} {m : M} :
(m ∈ sSup s) ↔ ∀ N, (∀ p ∈ s, p ≤ N) → m ∈ N := by
simp_rw [sSup_eq_iSup, Submodule.mem_iSup, iSup_le_iff]
section
| Mathlib/LinearAlgebra/Span.lean | 796 | 813 | theorem mem_span_finite_of_mem_span {S : Set M} {x : M} (hx : x ∈ span R S) :
∃ T : Finset M, ↑T ⊆ S ∧ x ∈ span R (T : Set M) := by |
classical
refine span_induction hx (fun x hx => ?_) ?_ ?_ ?_
· refine ⟨{x}, ?_, ?_⟩
· rwa [Finset.coe_singleton, Set.singleton_subset_iff]
· rw [Finset.coe_singleton]
exact Submodule.mem_span_singleton_self x
· use ∅
simp
· rintro x y ⟨X, hX, hxX⟩ ⟨Y, hY, hyY⟩
refine ⟨X ∪ Y, ?_, ?_⟩
· rw [Finset.coe_union]
exact Set.union_subset hX hY
rw [Finset.coe_union, span_union, mem_sup]
exact ⟨x, hxX, y, hyY, rfl⟩
· rintro a x ⟨T, hT, h2⟩
exact ⟨T, hT, smul_mem _ _ h2⟩
|
import Mathlib.MeasureTheory.Measure.MeasureSpace
open scoped ENNReal NNReal Topology
open Set MeasureTheory Measure Filter MeasurableSpace ENNReal Function
variable {R α β δ γ ι : Type*}
namespace MeasureTheory
variable {m0 : MeasurableSpace α} [MeasurableSpace β] [MeasurableSpace γ]
variable {μ μ₁ μ₂ μ₃ ν ν' ν₁ ν₂ : Measure α} {s s' t : Set α}
namespace Measure
noncomputable def restrictₗ {m0 : MeasurableSpace α} (s : Set α) : Measure α →ₗ[ℝ≥0∞] Measure α :=
liftLinear (OuterMeasure.restrict s) fun μ s' hs' t => by
suffices μ (s ∩ t) = μ (s ∩ t ∩ s') + μ ((s ∩ t) \ s') by
simpa [← Set.inter_assoc, Set.inter_comm _ s, ← inter_diff_assoc]
exact le_toOuterMeasure_caratheodory _ _ hs' _
#align measure_theory.measure.restrictₗ MeasureTheory.Measure.restrictₗ
noncomputable def restrict {_m0 : MeasurableSpace α} (μ : Measure α) (s : Set α) : Measure α :=
restrictₗ s μ
#align measure_theory.measure.restrict MeasureTheory.Measure.restrict
@[simp]
theorem restrictₗ_apply {_m0 : MeasurableSpace α} (s : Set α) (μ : Measure α) :
restrictₗ s μ = μ.restrict s :=
rfl
#align measure_theory.measure.restrictₗ_apply MeasureTheory.Measure.restrictₗ_apply
theorem restrict_toOuterMeasure_eq_toOuterMeasure_restrict (h : MeasurableSet s) :
(μ.restrict s).toOuterMeasure = OuterMeasure.restrict s μ.toOuterMeasure := by
simp_rw [restrict, restrictₗ, liftLinear, LinearMap.coe_mk, AddHom.coe_mk,
toMeasure_toOuterMeasure, OuterMeasure.restrict_trim h, μ.trimmed]
#align measure_theory.measure.restrict_to_outer_measure_eq_to_outer_measure_restrict MeasureTheory.Measure.restrict_toOuterMeasure_eq_toOuterMeasure_restrict
theorem restrict_apply₀ (ht : NullMeasurableSet t (μ.restrict s)) : μ.restrict s t = μ (t ∩ s) := by
rw [← restrictₗ_apply, restrictₗ, liftLinear_apply₀ _ ht, OuterMeasure.restrict_apply,
coe_toOuterMeasure]
#align measure_theory.measure.restrict_apply₀ MeasureTheory.Measure.restrict_apply₀
@[simp]
theorem restrict_apply (ht : MeasurableSet t) : μ.restrict s t = μ (t ∩ s) :=
restrict_apply₀ ht.nullMeasurableSet
#align measure_theory.measure.restrict_apply MeasureTheory.Measure.restrict_apply
theorem restrict_mono' {_m0 : MeasurableSpace α} ⦃s s' : Set α⦄ ⦃μ ν : Measure α⦄ (hs : s ≤ᵐ[μ] s')
(hμν : μ ≤ ν) : μ.restrict s ≤ ν.restrict s' :=
Measure.le_iff.2 fun t ht => calc
μ.restrict s t = μ (t ∩ s) := restrict_apply ht
_ ≤ μ (t ∩ s') := (measure_mono_ae <| hs.mono fun _x hx ⟨hxt, hxs⟩ => ⟨hxt, hx hxs⟩)
_ ≤ ν (t ∩ s') := le_iff'.1 hμν (t ∩ s')
_ = ν.restrict s' t := (restrict_apply ht).symm
#align measure_theory.measure.restrict_mono' MeasureTheory.Measure.restrict_mono'
@[mono]
theorem restrict_mono {_m0 : MeasurableSpace α} ⦃s s' : Set α⦄ (hs : s ⊆ s') ⦃μ ν : Measure α⦄
(hμν : μ ≤ ν) : μ.restrict s ≤ ν.restrict s' :=
restrict_mono' (ae_of_all _ hs) hμν
#align measure_theory.measure.restrict_mono MeasureTheory.Measure.restrict_mono
theorem restrict_mono_ae (h : s ≤ᵐ[μ] t) : μ.restrict s ≤ μ.restrict t :=
restrict_mono' h (le_refl μ)
#align measure_theory.measure.restrict_mono_ae MeasureTheory.Measure.restrict_mono_ae
theorem restrict_congr_set (h : s =ᵐ[μ] t) : μ.restrict s = μ.restrict t :=
le_antisymm (restrict_mono_ae h.le) (restrict_mono_ae h.symm.le)
#align measure_theory.measure.restrict_congr_set MeasureTheory.Measure.restrict_congr_set
@[simp]
theorem restrict_apply' (hs : MeasurableSet s) : μ.restrict s t = μ (t ∩ s) := by
rw [← toOuterMeasure_apply,
Measure.restrict_toOuterMeasure_eq_toOuterMeasure_restrict hs,
OuterMeasure.restrict_apply s t _, toOuterMeasure_apply]
#align measure_theory.measure.restrict_apply' MeasureTheory.Measure.restrict_apply'
theorem restrict_apply₀' (hs : NullMeasurableSet s μ) : μ.restrict s t = μ (t ∩ s) := by
rw [← restrict_congr_set hs.toMeasurable_ae_eq,
restrict_apply' (measurableSet_toMeasurable _ _),
measure_congr ((ae_eq_refl t).inter hs.toMeasurable_ae_eq)]
#align measure_theory.measure.restrict_apply₀' MeasureTheory.Measure.restrict_apply₀'
theorem restrict_le_self : μ.restrict s ≤ μ :=
Measure.le_iff.2 fun t ht => calc
μ.restrict s t = μ (t ∩ s) := restrict_apply ht
_ ≤ μ t := measure_mono inter_subset_left
#align measure_theory.measure.restrict_le_self MeasureTheory.Measure.restrict_le_self
variable (μ)
theorem restrict_eq_self (h : s ⊆ t) : μ.restrict t s = μ s :=
(le_iff'.1 restrict_le_self s).antisymm <|
calc
μ s ≤ μ (toMeasurable (μ.restrict t) s ∩ t) :=
measure_mono (subset_inter (subset_toMeasurable _ _) h)
_ = μ.restrict t s := by
rw [← restrict_apply (measurableSet_toMeasurable _ _), measure_toMeasurable]
#align measure_theory.measure.restrict_eq_self MeasureTheory.Measure.restrict_eq_self
@[simp]
theorem restrict_apply_self (s : Set α) : (μ.restrict s) s = μ s :=
restrict_eq_self μ Subset.rfl
#align measure_theory.measure.restrict_apply_self MeasureTheory.Measure.restrict_apply_self
variable {μ}
theorem restrict_apply_univ (s : Set α) : μ.restrict s univ = μ s := by
rw [restrict_apply MeasurableSet.univ, Set.univ_inter]
#align measure_theory.measure.restrict_apply_univ MeasureTheory.Measure.restrict_apply_univ
theorem le_restrict_apply (s t : Set α) : μ (t ∩ s) ≤ μ.restrict s t :=
calc
μ (t ∩ s) = μ.restrict s (t ∩ s) := (restrict_eq_self μ inter_subset_right).symm
_ ≤ μ.restrict s t := measure_mono inter_subset_left
#align measure_theory.measure.le_restrict_apply MeasureTheory.Measure.le_restrict_apply
theorem restrict_apply_le (s t : Set α) : μ.restrict s t ≤ μ t :=
Measure.le_iff'.1 restrict_le_self _
theorem restrict_apply_superset (h : s ⊆ t) : μ.restrict s t = μ s :=
((measure_mono (subset_univ _)).trans_eq <| restrict_apply_univ _).antisymm
((restrict_apply_self μ s).symm.trans_le <| measure_mono h)
#align measure_theory.measure.restrict_apply_superset MeasureTheory.Measure.restrict_apply_superset
@[simp]
theorem restrict_add {_m0 : MeasurableSpace α} (μ ν : Measure α) (s : Set α) :
(μ + ν).restrict s = μ.restrict s + ν.restrict s :=
(restrictₗ s).map_add μ ν
#align measure_theory.measure.restrict_add MeasureTheory.Measure.restrict_add
@[simp]
theorem restrict_zero {_m0 : MeasurableSpace α} (s : Set α) : (0 : Measure α).restrict s = 0 :=
(restrictₗ s).map_zero
#align measure_theory.measure.restrict_zero MeasureTheory.Measure.restrict_zero
@[simp]
theorem restrict_smul {_m0 : MeasurableSpace α} (c : ℝ≥0∞) (μ : Measure α) (s : Set α) :
(c • μ).restrict s = c • μ.restrict s :=
(restrictₗ s).map_smul c μ
#align measure_theory.measure.restrict_smul MeasureTheory.Measure.restrict_smul
theorem restrict_restrict₀ (hs : NullMeasurableSet s (μ.restrict t)) :
(μ.restrict t).restrict s = μ.restrict (s ∩ t) :=
ext fun u hu => by
simp only [Set.inter_assoc, restrict_apply hu,
restrict_apply₀ (hu.nullMeasurableSet.inter hs)]
#align measure_theory.measure.restrict_restrict₀ MeasureTheory.Measure.restrict_restrict₀
@[simp]
theorem restrict_restrict (hs : MeasurableSet s) : (μ.restrict t).restrict s = μ.restrict (s ∩ t) :=
restrict_restrict₀ hs.nullMeasurableSet
#align measure_theory.measure.restrict_restrict MeasureTheory.Measure.restrict_restrict
theorem restrict_restrict_of_subset (h : s ⊆ t) : (μ.restrict t).restrict s = μ.restrict s := by
ext1 u hu
rw [restrict_apply hu, restrict_apply hu, restrict_eq_self]
exact inter_subset_right.trans h
#align measure_theory.measure.restrict_restrict_of_subset MeasureTheory.Measure.restrict_restrict_of_subset
theorem restrict_restrict₀' (ht : NullMeasurableSet t μ) :
(μ.restrict t).restrict s = μ.restrict (s ∩ t) :=
ext fun u hu => by simp only [restrict_apply hu, restrict_apply₀' ht, inter_assoc]
#align measure_theory.measure.restrict_restrict₀' MeasureTheory.Measure.restrict_restrict₀'
theorem restrict_restrict' (ht : MeasurableSet t) :
(μ.restrict t).restrict s = μ.restrict (s ∩ t) :=
restrict_restrict₀' ht.nullMeasurableSet
#align measure_theory.measure.restrict_restrict' MeasureTheory.Measure.restrict_restrict'
theorem restrict_comm (hs : MeasurableSet s) :
(μ.restrict t).restrict s = (μ.restrict s).restrict t := by
rw [restrict_restrict hs, restrict_restrict' hs, inter_comm]
#align measure_theory.measure.restrict_comm MeasureTheory.Measure.restrict_comm
theorem restrict_apply_eq_zero (ht : MeasurableSet t) : μ.restrict s t = 0 ↔ μ (t ∩ s) = 0 := by
rw [restrict_apply ht]
#align measure_theory.measure.restrict_apply_eq_zero MeasureTheory.Measure.restrict_apply_eq_zero
theorem measure_inter_eq_zero_of_restrict (h : μ.restrict s t = 0) : μ (t ∩ s) = 0 :=
nonpos_iff_eq_zero.1 (h ▸ le_restrict_apply _ _)
#align measure_theory.measure.measure_inter_eq_zero_of_restrict MeasureTheory.Measure.measure_inter_eq_zero_of_restrict
theorem restrict_apply_eq_zero' (hs : MeasurableSet s) : μ.restrict s t = 0 ↔ μ (t ∩ s) = 0 := by
rw [restrict_apply' hs]
#align measure_theory.measure.restrict_apply_eq_zero' MeasureTheory.Measure.restrict_apply_eq_zero'
@[simp]
theorem restrict_eq_zero : μ.restrict s = 0 ↔ μ s = 0 := by
rw [← measure_univ_eq_zero, restrict_apply_univ]
#align measure_theory.measure.restrict_eq_zero MeasureTheory.Measure.restrict_eq_zero
instance restrict.neZero [NeZero (μ s)] : NeZero (μ.restrict s) :=
⟨mt restrict_eq_zero.mp <| NeZero.ne _⟩
theorem restrict_zero_set {s : Set α} (h : μ s = 0) : μ.restrict s = 0 :=
restrict_eq_zero.2 h
#align measure_theory.measure.restrict_zero_set MeasureTheory.Measure.restrict_zero_set
@[simp]
theorem restrict_empty : μ.restrict ∅ = 0 :=
restrict_zero_set measure_empty
#align measure_theory.measure.restrict_empty MeasureTheory.Measure.restrict_empty
@[simp]
theorem restrict_univ : μ.restrict univ = μ :=
ext fun s hs => by simp [hs]
#align measure_theory.measure.restrict_univ MeasureTheory.Measure.restrict_univ
theorem restrict_inter_add_diff₀ (s : Set α) (ht : NullMeasurableSet t μ) :
μ.restrict (s ∩ t) + μ.restrict (s \ t) = μ.restrict s := by
ext1 u hu
simp only [add_apply, restrict_apply hu, ← inter_assoc, diff_eq]
exact measure_inter_add_diff₀ (u ∩ s) ht
#align measure_theory.measure.restrict_inter_add_diff₀ MeasureTheory.Measure.restrict_inter_add_diff₀
theorem restrict_inter_add_diff (s : Set α) (ht : MeasurableSet t) :
μ.restrict (s ∩ t) + μ.restrict (s \ t) = μ.restrict s :=
restrict_inter_add_diff₀ s ht.nullMeasurableSet
#align measure_theory.measure.restrict_inter_add_diff MeasureTheory.Measure.restrict_inter_add_diff
theorem restrict_union_add_inter₀ (s : Set α) (ht : NullMeasurableSet t μ) :
μ.restrict (s ∪ t) + μ.restrict (s ∩ t) = μ.restrict s + μ.restrict t := by
rw [← restrict_inter_add_diff₀ (s ∪ t) ht, union_inter_cancel_right, union_diff_right, ←
restrict_inter_add_diff₀ s ht, add_comm, ← add_assoc, add_right_comm]
#align measure_theory.measure.restrict_union_add_inter₀ MeasureTheory.Measure.restrict_union_add_inter₀
theorem restrict_union_add_inter (s : Set α) (ht : MeasurableSet t) :
μ.restrict (s ∪ t) + μ.restrict (s ∩ t) = μ.restrict s + μ.restrict t :=
restrict_union_add_inter₀ s ht.nullMeasurableSet
#align measure_theory.measure.restrict_union_add_inter MeasureTheory.Measure.restrict_union_add_inter
theorem restrict_union_add_inter' (hs : MeasurableSet s) (t : Set α) :
μ.restrict (s ∪ t) + μ.restrict (s ∩ t) = μ.restrict s + μ.restrict t := by
simpa only [union_comm, inter_comm, add_comm] using restrict_union_add_inter t hs
#align measure_theory.measure.restrict_union_add_inter' MeasureTheory.Measure.restrict_union_add_inter'
| Mathlib/MeasureTheory/Measure/Restrict.lean | 271 | 273 | theorem restrict_union₀ (h : AEDisjoint μ s t) (ht : NullMeasurableSet t μ) :
μ.restrict (s ∪ t) = μ.restrict s + μ.restrict t := by |
simp [← restrict_union_add_inter₀ s ht, restrict_zero_set h]
|
import Mathlib.RingTheory.WittVector.Frobenius
import Mathlib.RingTheory.WittVector.Verschiebung
import Mathlib.RingTheory.WittVector.MulP
#align_import ring_theory.witt_vector.identities from "leanprover-community/mathlib"@"0798037604b2d91748f9b43925fb7570a5f3256c"
namespace WittVector
variable {p : ℕ} {R : Type*} [hp : Fact p.Prime] [CommRing R]
-- type as `\bbW`
local notation "𝕎" => WittVector p
noncomputable section
-- Porting note: `ghost_calc` failure: `simp only []` and the manual instances had to be added.
theorem frobenius_verschiebung (x : 𝕎 R) : frobenius (verschiebung x) = x * p := by
have : IsPoly p fun {R} [CommRing R] x ↦ frobenius (verschiebung x) :=
IsPoly.comp (hg := frobenius_isPoly p) (hf := verschiebung_isPoly)
have : IsPoly p fun {R} [CommRing R] x ↦ x * p := mulN_isPoly p p
ghost_calc x
ghost_simp [mul_comm]
#align witt_vector.frobenius_verschiebung WittVector.frobenius_verschiebung
theorem verschiebung_zmod (x : 𝕎 (ZMod p)) : verschiebung x = x * p := by
rw [← frobenius_verschiebung, frobenius_zmodp]
#align witt_vector.verschiebung_zmod WittVector.verschiebung_zmod
variable (p R)
theorem coeff_p_pow [CharP R p] (i : ℕ) : ((p : 𝕎 R) ^ i).coeff i = 1 := by
induction' i with i h
· simp only [Nat.zero_eq, one_coeff_zero, Ne, pow_zero]
· rw [pow_succ, ← frobenius_verschiebung, coeff_frobenius_charP,
verschiebung_coeff_succ, h, one_pow]
#align witt_vector.coeff_p_pow WittVector.coeff_p_pow
theorem coeff_p_pow_eq_zero [CharP R p] {i j : ℕ} (hj : j ≠ i) : ((p : 𝕎 R) ^ i).coeff j = 0 := by
induction' i with i hi generalizing j
· rw [pow_zero, one_coeff_eq_of_pos]
exact Nat.pos_of_ne_zero hj
· rw [pow_succ, ← frobenius_verschiebung, coeff_frobenius_charP]
cases j
· rw [verschiebung_coeff_zero, zero_pow hp.out.ne_zero]
· rw [verschiebung_coeff_succ, hi (ne_of_apply_ne _ hj), zero_pow hp.out.ne_zero]
#align witt_vector.coeff_p_pow_eq_zero WittVector.coeff_p_pow_eq_zero
theorem coeff_p [CharP R p] (i : ℕ) : (p : 𝕎 R).coeff i = if i = 1 then 1 else 0 := by
split_ifs with hi
· simpa only [hi, pow_one] using coeff_p_pow p R 1
· simpa only [pow_one] using coeff_p_pow_eq_zero p R hi
#align witt_vector.coeff_p WittVector.coeff_p
@[simp]
theorem coeff_p_zero [CharP R p] : (p : 𝕎 R).coeff 0 = 0 := by
rw [coeff_p, if_neg]
exact zero_ne_one
#align witt_vector.coeff_p_zero WittVector.coeff_p_zero
@[simp]
theorem coeff_p_one [CharP R p] : (p : 𝕎 R).coeff 1 = 1 := by rw [coeff_p, if_pos rfl]
#align witt_vector.coeff_p_one WittVector.coeff_p_one
theorem p_nonzero [Nontrivial R] [CharP R p] : (p : 𝕎 R) ≠ 0 := by
intro h
simpa only [h, zero_coeff, zero_ne_one] using coeff_p_one p R
#align witt_vector.p_nonzero WittVector.p_nonzero
| Mathlib/RingTheory/WittVector/Identities.lean | 95 | 96 | theorem FractionRing.p_nonzero [Nontrivial R] [CharP R p] : (p : FractionRing (𝕎 R)) ≠ 0 := by |
simpa using (IsFractionRing.injective (𝕎 R) (FractionRing (𝕎 R))).ne (WittVector.p_nonzero _ _)
|
import Mathlib.Data.Matrix.PEquiv
import Mathlib.Data.Set.Card
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
import Mathlib.LinearAlgebra.Matrix.Trace
open BigOperators Matrix Equiv
variable {n R : Type*} [DecidableEq n] [Fintype n] (σ : Perm n)
variable (R) in
abbrev Equiv.Perm.permMatrix [Zero R] [One R] : Matrix n n R :=
σ.toPEquiv.toMatrix
namespace Matrix
@[simp]
theorem det_permutation [CommRing R] : det (σ.permMatrix R) = Perm.sign σ := by
rw [← Matrix.mul_one (σ.permMatrix R), PEquiv.toPEquiv_mul_matrix,
det_permute, det_one, mul_one]
#align matrix.det_permutation Matrix.det_permutation
| Mathlib/LinearAlgebra/Matrix/Permutation.lean | 47 | 50 | theorem trace_permutation [AddCommMonoidWithOne R] :
trace (σ.permMatrix R) = (Function.fixedPoints σ).ncard := by |
delta trace
simp [toPEquiv_apply, ← Set.ncard_coe_Finset, Function.fixedPoints, Function.IsFixedPt]
|
import Mathlib.Algebra.BigOperators.Option
import Mathlib.Analysis.BoxIntegral.Box.Basic
import Mathlib.Data.Set.Pairwise.Lattice
#align_import analysis.box_integral.partition.basic from "leanprover-community/mathlib"@"84dc0bd6619acaea625086d6f53cb35cdd554219"
open Set Finset Function
open scoped Classical
open NNReal
noncomputable section
namespace BoxIntegral
variable {ι : Type*}
structure Prepartition (I : Box ι) where
boxes : Finset (Box ι)
le_of_mem' : ∀ J ∈ boxes, J ≤ I
pairwiseDisjoint : Set.Pairwise (↑boxes) (Disjoint on ((↑) : Box ι → Set (ι → ℝ)))
#align box_integral.prepartition BoxIntegral.Prepartition
namespace Prepartition
variable {I J J₁ J₂ : Box ι} (π : Prepartition I) {π₁ π₂ : Prepartition I} {x : ι → ℝ}
instance : Membership (Box ι) (Prepartition I) :=
⟨fun J π => J ∈ π.boxes⟩
@[simp]
theorem mem_boxes : J ∈ π.boxes ↔ J ∈ π := Iff.rfl
#align box_integral.prepartition.mem_boxes BoxIntegral.Prepartition.mem_boxes
@[simp]
theorem mem_mk {s h₁ h₂} : J ∈ (mk s h₁ h₂ : Prepartition I) ↔ J ∈ s := Iff.rfl
#align box_integral.prepartition.mem_mk BoxIntegral.Prepartition.mem_mk
theorem disjoint_coe_of_mem (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (h : J₁ ≠ J₂) :
Disjoint (J₁ : Set (ι → ℝ)) J₂ :=
π.pairwiseDisjoint h₁ h₂ h
#align box_integral.prepartition.disjoint_coe_of_mem BoxIntegral.Prepartition.disjoint_coe_of_mem
theorem eq_of_mem_of_mem (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hx₁ : x ∈ J₁) (hx₂ : x ∈ J₂) : J₁ = J₂ :=
by_contra fun H => (π.disjoint_coe_of_mem h₁ h₂ H).le_bot ⟨hx₁, hx₂⟩
#align box_integral.prepartition.eq_of_mem_of_mem BoxIntegral.Prepartition.eq_of_mem_of_mem
theorem eq_of_le_of_le (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hle₁ : J ≤ J₁) (hle₂ : J ≤ J₂) : J₁ = J₂ :=
π.eq_of_mem_of_mem h₁ h₂ (hle₁ J.upper_mem) (hle₂ J.upper_mem)
#align box_integral.prepartition.eq_of_le_of_le BoxIntegral.Prepartition.eq_of_le_of_le
theorem eq_of_le (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hle : J₁ ≤ J₂) : J₁ = J₂ :=
π.eq_of_le_of_le h₁ h₂ le_rfl hle
#align box_integral.prepartition.eq_of_le BoxIntegral.Prepartition.eq_of_le
theorem le_of_mem (hJ : J ∈ π) : J ≤ I :=
π.le_of_mem' J hJ
#align box_integral.prepartition.le_of_mem BoxIntegral.Prepartition.le_of_mem
theorem lower_le_lower (hJ : J ∈ π) : I.lower ≤ J.lower :=
Box.antitone_lower (π.le_of_mem hJ)
#align box_integral.prepartition.lower_le_lower BoxIntegral.Prepartition.lower_le_lower
theorem upper_le_upper (hJ : J ∈ π) : J.upper ≤ I.upper :=
Box.monotone_upper (π.le_of_mem hJ)
#align box_integral.prepartition.upper_le_upper BoxIntegral.Prepartition.upper_le_upper
theorem injective_boxes : Function.Injective (boxes : Prepartition I → Finset (Box ι)) := by
rintro ⟨s₁, h₁, h₁'⟩ ⟨s₂, h₂, h₂'⟩ (rfl : s₁ = s₂)
rfl
#align box_integral.prepartition.injective_boxes BoxIntegral.Prepartition.injective_boxes
@[ext]
theorem ext (h : ∀ J, J ∈ π₁ ↔ J ∈ π₂) : π₁ = π₂ :=
injective_boxes <| Finset.ext h
#align box_integral.prepartition.ext BoxIntegral.Prepartition.ext
@[simps]
def single (I J : Box ι) (h : J ≤ I) : Prepartition I :=
⟨{J}, by simpa, by simp⟩
#align box_integral.prepartition.single BoxIntegral.Prepartition.single
@[simp]
theorem mem_single {J'} (h : J ≤ I) : J' ∈ single I J h ↔ J' = J :=
mem_singleton
#align box_integral.prepartition.mem_single BoxIntegral.Prepartition.mem_single
instance : LE (Prepartition I) :=
⟨fun π π' => ∀ ⦃I⦄, I ∈ π → ∃ I' ∈ π', I ≤ I'⟩
instance partialOrder : PartialOrder (Prepartition I) where
le := (· ≤ ·)
le_refl π I hI := ⟨I, hI, le_rfl⟩
le_trans π₁ π₂ π₃ h₁₂ h₂₃ I₁ hI₁ :=
let ⟨I₂, hI₂, hI₁₂⟩ := h₁₂ hI₁
let ⟨I₃, hI₃, hI₂₃⟩ := h₂₃ hI₂
⟨I₃, hI₃, hI₁₂.trans hI₂₃⟩
le_antisymm := by
suffices ∀ {π₁ π₂ : Prepartition I}, π₁ ≤ π₂ → π₂ ≤ π₁ → π₁.boxes ⊆ π₂.boxes from
fun π₁ π₂ h₁ h₂ => injective_boxes (Subset.antisymm (this h₁ h₂) (this h₂ h₁))
intro π₁ π₂ h₁ h₂ J hJ
rcases h₁ hJ with ⟨J', hJ', hle⟩; rcases h₂ hJ' with ⟨J'', hJ'', hle'⟩
obtain rfl : J = J'' := π₁.eq_of_le hJ hJ'' (hle.trans hle')
obtain rfl : J' = J := le_antisymm ‹_› ‹_›
assumption
instance : OrderTop (Prepartition I) where
top := single I I le_rfl
le_top π J hJ := ⟨I, by simp, π.le_of_mem hJ⟩
instance : OrderBot (Prepartition I) where
bot := ⟨∅,
fun _ hJ => (Finset.not_mem_empty _ hJ).elim,
fun _ hJ => (Set.not_mem_empty _ <| Finset.coe_empty ▸ hJ).elim⟩
bot_le _ _ hJ := (Finset.not_mem_empty _ hJ).elim
instance : Inhabited (Prepartition I) := ⟨⊤⟩
theorem le_def : π₁ ≤ π₂ ↔ ∀ J ∈ π₁, ∃ J' ∈ π₂, J ≤ J' := Iff.rfl
#align box_integral.prepartition.le_def BoxIntegral.Prepartition.le_def
@[simp]
theorem mem_top : J ∈ (⊤ : Prepartition I) ↔ J = I :=
mem_singleton
#align box_integral.prepartition.mem_top BoxIntegral.Prepartition.mem_top
@[simp]
theorem top_boxes : (⊤ : Prepartition I).boxes = {I} := rfl
#align box_integral.prepartition.top_boxes BoxIntegral.Prepartition.top_boxes
@[simp]
theorem not_mem_bot : J ∉ (⊥ : Prepartition I) :=
Finset.not_mem_empty _
#align box_integral.prepartition.not_mem_bot BoxIntegral.Prepartition.not_mem_bot
@[simp]
theorem bot_boxes : (⊥ : Prepartition I).boxes = ∅ := rfl
#align box_integral.prepartition.bot_boxes BoxIntegral.Prepartition.bot_boxes
theorem injOn_setOf_mem_Icc_setOf_lower_eq (x : ι → ℝ) :
InjOn (fun J : Box ι => { i | J.lower i = x i }) { J | J ∈ π ∧ x ∈ Box.Icc J } := by
rintro J₁ ⟨h₁, hx₁⟩ J₂ ⟨h₂, hx₂⟩ (H : { i | J₁.lower i = x i } = { i | J₂.lower i = x i })
suffices ∀ i, (Ioc (J₁.lower i) (J₁.upper i) ∩ Ioc (J₂.lower i) (J₂.upper i)).Nonempty by
choose y hy₁ hy₂ using this
exact π.eq_of_mem_of_mem h₁ h₂ hy₁ hy₂
intro i
simp only [Set.ext_iff, mem_setOf] at H
rcases (hx₁.1 i).eq_or_lt with hi₁ | hi₁
· have hi₂ : J₂.lower i = x i := (H _).1 hi₁
have H₁ : x i < J₁.upper i := by simpa only [hi₁] using J₁.lower_lt_upper i
have H₂ : x i < J₂.upper i := by simpa only [hi₂] using J₂.lower_lt_upper i
rw [Ioc_inter_Ioc, hi₁, hi₂, sup_idem, Set.nonempty_Ioc]
exact lt_min H₁ H₂
· have hi₂ : J₂.lower i < x i := (hx₂.1 i).lt_of_ne (mt (H _).2 hi₁.ne)
exact ⟨x i, ⟨hi₁, hx₁.2 i⟩, ⟨hi₂, hx₂.2 i⟩⟩
#align box_integral.prepartition.inj_on_set_of_mem_Icc_set_of_lower_eq BoxIntegral.Prepartition.injOn_setOf_mem_Icc_setOf_lower_eq
theorem card_filter_mem_Icc_le [Fintype ι] (x : ι → ℝ) :
(π.boxes.filter fun J : Box ι => x ∈ Box.Icc J).card ≤ 2 ^ Fintype.card ι := by
rw [← Fintype.card_set]
refine Finset.card_le_card_of_inj_on (fun J : Box ι => { i | J.lower i = x i })
(fun _ _ => Finset.mem_univ _) ?_
simpa only [Finset.mem_filter] using π.injOn_setOf_mem_Icc_setOf_lower_eq x
#align box_integral.prepartition.card_filter_mem_Icc_le BoxIntegral.Prepartition.card_filter_mem_Icc_le
protected def iUnion : Set (ι → ℝ) :=
⋃ J ∈ π, ↑J
#align box_integral.prepartition.Union BoxIntegral.Prepartition.iUnion
theorem iUnion_def : π.iUnion = ⋃ J ∈ π, ↑J := rfl
#align box_integral.prepartition.Union_def BoxIntegral.Prepartition.iUnion_def
theorem iUnion_def' : π.iUnion = ⋃ J ∈ π.boxes, ↑J := rfl
#align box_integral.prepartition.Union_def' BoxIntegral.Prepartition.iUnion_def'
-- Porting note: Previous proof was `:= Set.mem_iUnion₂`
@[simp]
theorem mem_iUnion : x ∈ π.iUnion ↔ ∃ J ∈ π, x ∈ J := by
convert Set.mem_iUnion₂
rw [Box.mem_coe, exists_prop]
#align box_integral.prepartition.mem_Union BoxIntegral.Prepartition.mem_iUnion
@[simp]
theorem iUnion_single (h : J ≤ I) : (single I J h).iUnion = J := by simp [iUnion_def]
#align box_integral.prepartition.Union_single BoxIntegral.Prepartition.iUnion_single
@[simp]
theorem iUnion_top : (⊤ : Prepartition I).iUnion = I := by simp [Prepartition.iUnion]
#align box_integral.prepartition.Union_top BoxIntegral.Prepartition.iUnion_top
@[simp]
theorem iUnion_eq_empty : π₁.iUnion = ∅ ↔ π₁ = ⊥ := by
simp [← injective_boxes.eq_iff, Finset.ext_iff, Prepartition.iUnion, imp_false]
#align box_integral.prepartition.Union_eq_empty BoxIntegral.Prepartition.iUnion_eq_empty
@[simp]
theorem iUnion_bot : (⊥ : Prepartition I).iUnion = ∅ :=
iUnion_eq_empty.2 rfl
#align box_integral.prepartition.Union_bot BoxIntegral.Prepartition.iUnion_bot
theorem subset_iUnion (h : J ∈ π) : ↑J ⊆ π.iUnion :=
subset_biUnion_of_mem h
#align box_integral.prepartition.subset_Union BoxIntegral.Prepartition.subset_iUnion
theorem iUnion_subset : π.iUnion ⊆ I :=
iUnion₂_subset π.le_of_mem'
#align box_integral.prepartition.Union_subset BoxIntegral.Prepartition.iUnion_subset
@[mono]
theorem iUnion_mono (h : π₁ ≤ π₂) : π₁.iUnion ⊆ π₂.iUnion := fun _ hx =>
let ⟨_, hJ₁, hx⟩ := π₁.mem_iUnion.1 hx
let ⟨J₂, hJ₂, hle⟩ := h hJ₁
π₂.mem_iUnion.2 ⟨J₂, hJ₂, hle hx⟩
#align box_integral.prepartition.Union_mono BoxIntegral.Prepartition.iUnion_mono
theorem disjoint_boxes_of_disjoint_iUnion (h : Disjoint π₁.iUnion π₂.iUnion) :
Disjoint π₁.boxes π₂.boxes :=
Finset.disjoint_left.2 fun J h₁ h₂ =>
Disjoint.le_bot (h.mono (π₁.subset_iUnion h₁) (π₂.subset_iUnion h₂)) ⟨J.upper_mem, J.upper_mem⟩
#align box_integral.prepartition.disjoint_boxes_of_disjoint_Union BoxIntegral.Prepartition.disjoint_boxes_of_disjoint_iUnion
theorem le_iff_nonempty_imp_le_and_iUnion_subset :
π₁ ≤ π₂ ↔
(∀ J ∈ π₁, ∀ J' ∈ π₂, (J ∩ J' : Set (ι → ℝ)).Nonempty → J ≤ J') ∧ π₁.iUnion ⊆ π₂.iUnion := by
constructor
· refine fun H => ⟨fun J hJ J' hJ' Hne => ?_, iUnion_mono H⟩
rcases H hJ with ⟨J'', hJ'', Hle⟩
rcases Hne with ⟨x, hx, hx'⟩
rwa [π₂.eq_of_mem_of_mem hJ' hJ'' hx' (Hle hx)]
· rintro ⟨H, HU⟩ J hJ
simp only [Set.subset_def, mem_iUnion] at HU
rcases HU J.upper ⟨J, hJ, J.upper_mem⟩ with ⟨J₂, hJ₂, hx⟩
exact ⟨J₂, hJ₂, H _ hJ _ hJ₂ ⟨_, J.upper_mem, hx⟩⟩
#align box_integral.prepartition.le_iff_nonempty_imp_le_and_Union_subset BoxIntegral.Prepartition.le_iff_nonempty_imp_le_and_iUnion_subset
theorem eq_of_boxes_subset_iUnion_superset (h₁ : π₁.boxes ⊆ π₂.boxes) (h₂ : π₂.iUnion ⊆ π₁.iUnion) :
π₁ = π₂ :=
le_antisymm (fun J hJ => ⟨J, h₁ hJ, le_rfl⟩) <|
le_iff_nonempty_imp_le_and_iUnion_subset.2
⟨fun _ hJ₁ _ hJ₂ Hne =>
(π₂.eq_of_mem_of_mem hJ₁ (h₁ hJ₂) Hne.choose_spec.1 Hne.choose_spec.2).le, h₂⟩
#align box_integral.prepartition.eq_of_boxes_subset_Union_superset BoxIntegral.Prepartition.eq_of_boxes_subset_iUnion_superset
@[simps]
def biUnion (πi : ∀ J : Box ι, Prepartition J) : Prepartition I where
boxes := π.boxes.biUnion fun J => (πi J).boxes
le_of_mem' J hJ := by
simp only [Finset.mem_biUnion, exists_prop, mem_boxes] at hJ
rcases hJ with ⟨J', hJ', hJ⟩
exact ((πi J').le_of_mem hJ).trans (π.le_of_mem hJ')
pairwiseDisjoint := by
simp only [Set.Pairwise, Finset.mem_coe, Finset.mem_biUnion]
rintro J₁' ⟨J₁, hJ₁, hJ₁'⟩ J₂' ⟨J₂, hJ₂, hJ₂'⟩ Hne
rw [Function.onFun, Set.disjoint_left]
rintro x hx₁ hx₂; apply Hne
obtain rfl : J₁ = J₂ :=
π.eq_of_mem_of_mem hJ₁ hJ₂ ((πi J₁).le_of_mem hJ₁' hx₁) ((πi J₂).le_of_mem hJ₂' hx₂)
exact (πi J₁).eq_of_mem_of_mem hJ₁' hJ₂' hx₁ hx₂
#align box_integral.prepartition.bUnion BoxIntegral.Prepartition.biUnion
variable {πi πi₁ πi₂ : ∀ J : Box ι, Prepartition J}
@[simp]
theorem mem_biUnion : J ∈ π.biUnion πi ↔ ∃ J' ∈ π, J ∈ πi J' := by simp [biUnion]
#align box_integral.prepartition.mem_bUnion BoxIntegral.Prepartition.mem_biUnion
theorem biUnion_le (πi : ∀ J, Prepartition J) : π.biUnion πi ≤ π := fun _ hJ =>
let ⟨J', hJ', hJ⟩ := π.mem_biUnion.1 hJ
⟨J', hJ', (πi J').le_of_mem hJ⟩
#align box_integral.prepartition.bUnion_le BoxIntegral.Prepartition.biUnion_le
@[simp]
theorem biUnion_top : (π.biUnion fun _ => ⊤) = π := by
ext
simp
#align box_integral.prepartition.bUnion_top BoxIntegral.Prepartition.biUnion_top
@[congr]
theorem biUnion_congr (h : π₁ = π₂) (hi : ∀ J ∈ π₁, πi₁ J = πi₂ J) :
π₁.biUnion πi₁ = π₂.biUnion πi₂ := by
subst π₂
ext J
simp only [mem_biUnion]
constructor <;> exact fun ⟨J', h₁, h₂⟩ => ⟨J', h₁, hi J' h₁ ▸ h₂⟩
#align box_integral.prepartition.bUnion_congr BoxIntegral.Prepartition.biUnion_congr
theorem biUnion_congr_of_le (h : π₁ = π₂) (hi : ∀ J ≤ I, πi₁ J = πi₂ J) :
π₁.biUnion πi₁ = π₂.biUnion πi₂ :=
biUnion_congr h fun J hJ => hi J (π₁.le_of_mem hJ)
#align box_integral.prepartition.bUnion_congr_of_le BoxIntegral.Prepartition.biUnion_congr_of_le
@[simp]
theorem iUnion_biUnion (πi : ∀ J : Box ι, Prepartition J) :
(π.biUnion πi).iUnion = ⋃ J ∈ π, (πi J).iUnion := by simp [Prepartition.iUnion]
#align box_integral.prepartition.Union_bUnion BoxIntegral.Prepartition.iUnion_biUnion
@[simp]
theorem sum_biUnion_boxes {M : Type*} [AddCommMonoid M] (π : Prepartition I)
(πi : ∀ J, Prepartition J) (f : Box ι → M) :
(∑ J ∈ π.boxes.biUnion fun J => (πi J).boxes, f J) =
∑ J ∈ π.boxes, ∑ J' ∈ (πi J).boxes, f J' := by
refine Finset.sum_biUnion fun J₁ h₁ J₂ h₂ hne => Finset.disjoint_left.2 fun J' h₁' h₂' => ?_
exact hne (π.eq_of_le_of_le h₁ h₂ ((πi J₁).le_of_mem h₁') ((πi J₂).le_of_mem h₂'))
#align box_integral.prepartition.sum_bUnion_boxes BoxIntegral.Prepartition.sum_biUnion_boxes
def biUnionIndex (πi : ∀ (J : Box ι), Prepartition J) (J : Box ι) : Box ι :=
if hJ : J ∈ π.biUnion πi then (π.mem_biUnion.1 hJ).choose else I
#align box_integral.prepartition.bUnion_index BoxIntegral.Prepartition.biUnionIndex
theorem biUnionIndex_mem (hJ : J ∈ π.biUnion πi) : π.biUnionIndex πi J ∈ π := by
rw [biUnionIndex, dif_pos hJ]
exact (π.mem_biUnion.1 hJ).choose_spec.1
#align box_integral.prepartition.bUnion_index_mem BoxIntegral.Prepartition.biUnionIndex_mem
theorem biUnionIndex_le (πi : ∀ J, Prepartition J) (J : Box ι) : π.biUnionIndex πi J ≤ I := by
by_cases hJ : J ∈ π.biUnion πi
· exact π.le_of_mem (π.biUnionIndex_mem hJ)
· rw [biUnionIndex, dif_neg hJ]
#align box_integral.prepartition.bUnion_index_le BoxIntegral.Prepartition.biUnionIndex_le
theorem mem_biUnionIndex (hJ : J ∈ π.biUnion πi) : J ∈ πi (π.biUnionIndex πi J) := by
convert (π.mem_biUnion.1 hJ).choose_spec.2 <;> exact dif_pos hJ
#align box_integral.prepartition.mem_bUnion_index BoxIntegral.Prepartition.mem_biUnionIndex
theorem le_biUnionIndex (hJ : J ∈ π.biUnion πi) : J ≤ π.biUnionIndex πi J :=
le_of_mem _ (π.mem_biUnionIndex hJ)
#align box_integral.prepartition.le_bUnion_index BoxIntegral.Prepartition.le_biUnionIndex
theorem biUnionIndex_of_mem (hJ : J ∈ π) {J'} (hJ' : J' ∈ πi J) : π.biUnionIndex πi J' = J :=
have : J' ∈ π.biUnion πi := π.mem_biUnion.2 ⟨J, hJ, hJ'⟩
π.eq_of_le_of_le (π.biUnionIndex_mem this) hJ (π.le_biUnionIndex this) (le_of_mem _ hJ')
#align box_integral.prepartition.bUnion_index_of_mem BoxIntegral.Prepartition.biUnionIndex_of_mem
theorem biUnion_assoc (πi : ∀ J, Prepartition J) (πi' : Box ι → ∀ J : Box ι, Prepartition J) :
(π.biUnion fun J => (πi J).biUnion (πi' J)) =
(π.biUnion πi).biUnion fun J => πi' (π.biUnionIndex πi J) J := by
ext J
simp only [mem_biUnion, exists_prop]
constructor
· rintro ⟨J₁, hJ₁, J₂, hJ₂, hJ⟩
refine ⟨J₂, ⟨J₁, hJ₁, hJ₂⟩, ?_⟩
rwa [π.biUnionIndex_of_mem hJ₁ hJ₂]
· rintro ⟨J₁, ⟨J₂, hJ₂, hJ₁⟩, hJ⟩
refine ⟨J₂, hJ₂, J₁, hJ₁, ?_⟩
rwa [π.biUnionIndex_of_mem hJ₂ hJ₁] at hJ
#align box_integral.prepartition.bUnion_assoc BoxIntegral.Prepartition.biUnion_assoc
def ofWithBot (boxes : Finset (WithBot (Box ι)))
(le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I)
(pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint) :
Prepartition I where
boxes := Finset.eraseNone boxes
le_of_mem' J hJ := by
rw [mem_eraseNone] at hJ
simpa only [WithBot.some_eq_coe, WithBot.coe_le_coe] using le_of_mem _ hJ
pairwiseDisjoint J₁ h₁ J₂ h₂ hne := by
simp only [mem_coe, mem_eraseNone] at h₁ h₂
exact Box.disjoint_coe.1 (pairwise_disjoint h₁ h₂ (mt Option.some_inj.1 hne))
#align box_integral.prepartition.of_with_bot BoxIntegral.Prepartition.ofWithBot
@[simp]
theorem mem_ofWithBot {boxes : Finset (WithBot (Box ι))} {h₁ h₂} :
J ∈ (ofWithBot boxes h₁ h₂ : Prepartition I) ↔ (J : WithBot (Box ι)) ∈ boxes :=
mem_eraseNone
#align box_integral.prepartition.mem_of_with_bot BoxIntegral.Prepartition.mem_ofWithBot
@[simp]
theorem iUnion_ofWithBot (boxes : Finset (WithBot (Box ι)))
(le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I)
(pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint) :
(ofWithBot boxes le_of_mem pairwise_disjoint).iUnion = ⋃ J ∈ boxes, ↑J := by
suffices ⋃ (J : Box ι) (_ : ↑J ∈ boxes), ↑J = ⋃ J ∈ boxes, (J : Set (ι → ℝ)) by
simpa [ofWithBot, Prepartition.iUnion]
simp only [← Box.biUnion_coe_eq_coe, @iUnion_comm _ _ (Box ι), @iUnion_comm _ _ (@Eq _ _ _),
iUnion_iUnion_eq_right]
#align box_integral.prepartition.Union_of_with_bot BoxIntegral.Prepartition.iUnion_ofWithBot
theorem ofWithBot_le {boxes : Finset (WithBot (Box ι))}
{le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint}
(H : ∀ J ∈ boxes, J ≠ ⊥ → ∃ J' ∈ π, J ≤ ↑J') :
ofWithBot boxes le_of_mem pairwise_disjoint ≤ π := by
have : ∀ J : Box ι, ↑J ∈ boxes → ∃ J' ∈ π, J ≤ J' := fun J hJ => by
simpa only [WithBot.coe_le_coe] using H J hJ WithBot.coe_ne_bot
simpa [ofWithBot, le_def]
#align box_integral.prepartition.of_with_bot_le BoxIntegral.Prepartition.ofWithBot_le
theorem le_ofWithBot {boxes : Finset (WithBot (Box ι))}
{le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint}
(H : ∀ J ∈ π, ∃ J' ∈ boxes, ↑J ≤ J') : π ≤ ofWithBot boxes le_of_mem pairwise_disjoint := by
intro J hJ
rcases H J hJ with ⟨J', J'mem, hle⟩
lift J' to Box ι using ne_bot_of_le_ne_bot WithBot.coe_ne_bot hle
exact ⟨J', mem_ofWithBot.2 J'mem, WithBot.coe_le_coe.1 hle⟩
#align box_integral.prepartition.le_of_with_bot BoxIntegral.Prepartition.le_ofWithBot
theorem ofWithBot_mono {boxes₁ : Finset (WithBot (Box ι))}
{le_of_mem₁ : ∀ J ∈ boxes₁, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint₁ : Set.Pairwise (boxes₁ : Set (WithBot (Box ι))) Disjoint}
{boxes₂ : Finset (WithBot (Box ι))} {le_of_mem₂ : ∀ J ∈ boxes₂, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint₂ : Set.Pairwise (boxes₂ : Set (WithBot (Box ι))) Disjoint}
(H : ∀ J ∈ boxes₁, J ≠ ⊥ → ∃ J' ∈ boxes₂, J ≤ J') :
ofWithBot boxes₁ le_of_mem₁ pairwise_disjoint₁ ≤
ofWithBot boxes₂ le_of_mem₂ pairwise_disjoint₂ :=
le_ofWithBot _ fun J hJ => H J (mem_ofWithBot.1 hJ) WithBot.coe_ne_bot
#align box_integral.prepartition.of_with_bot_mono BoxIntegral.Prepartition.ofWithBot_mono
theorem sum_ofWithBot {M : Type*} [AddCommMonoid M] (boxes : Finset (WithBot (Box ι)))
(le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I)
(pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint) (f : Box ι → M) :
(∑ J ∈ (ofWithBot boxes le_of_mem pairwise_disjoint).boxes, f J) =
∑ J ∈ boxes, Option.elim' 0 f J :=
Finset.sum_eraseNone _ _
#align box_integral.prepartition.sum_of_with_bot BoxIntegral.Prepartition.sum_ofWithBot
def restrict (π : Prepartition I) (J : Box ι) : Prepartition J :=
ofWithBot (π.boxes.image fun J' : Box ι => J ⊓ J')
(fun J' hJ' => by
rcases Finset.mem_image.1 hJ' with ⟨J', -, rfl⟩
exact inf_le_left)
(by
simp only [Set.Pairwise, onFun, Finset.mem_coe, Finset.mem_image]
rintro _ ⟨J₁, h₁, rfl⟩ _ ⟨J₂, h₂, rfl⟩ Hne
have : J₁ ≠ J₂ := by
rintro rfl
exact Hne rfl
exact ((Box.disjoint_coe.2 <| π.disjoint_coe_of_mem h₁ h₂ this).inf_left' _).inf_right' _)
#align box_integral.prepartition.restrict BoxIntegral.Prepartition.restrict
@[simp]
theorem mem_restrict : J₁ ∈ π.restrict J ↔ ∃ J' ∈ π, (J₁ : WithBot (Box ι)) = ↑J ⊓ ↑J' := by
simp [restrict, eq_comm]
#align box_integral.prepartition.mem_restrict BoxIntegral.Prepartition.mem_restrict
theorem mem_restrict' : J₁ ∈ π.restrict J ↔ ∃ J' ∈ π, (J₁ : Set (ι → ℝ)) = ↑J ∩ ↑J' := by
simp only [mem_restrict, ← Box.withBotCoe_inj, Box.coe_inf, Box.coe_coe]
#align box_integral.prepartition.mem_restrict' BoxIntegral.Prepartition.mem_restrict'
@[mono]
theorem restrict_mono {π₁ π₂ : Prepartition I} (Hle : π₁ ≤ π₂) : π₁.restrict J ≤ π₂.restrict J := by
refine ofWithBot_mono fun J₁ hJ₁ hne => ?_
rw [Finset.mem_image] at hJ₁; rcases hJ₁ with ⟨J₁, hJ₁, rfl⟩
rcases Hle hJ₁ with ⟨J₂, hJ₂, hle⟩
exact ⟨_, Finset.mem_image_of_mem _ hJ₂, inf_le_inf_left _ <| WithBot.coe_le_coe.2 hle⟩
#align box_integral.prepartition.restrict_mono BoxIntegral.Prepartition.restrict_mono
theorem monotone_restrict : Monotone fun π : Prepartition I => restrict π J :=
fun _ _ => restrict_mono
#align box_integral.prepartition.monotone_restrict BoxIntegral.Prepartition.monotone_restrict
| Mathlib/Analysis/BoxIntegral/Partition/Basic.lean | 513 | 519 | theorem restrict_boxes_of_le (π : Prepartition I) (h : I ≤ J) : (π.restrict J).boxes = π.boxes := by |
simp only [restrict, ofWithBot, eraseNone_eq_biUnion]
refine Finset.image_biUnion.trans ?_
refine (Finset.biUnion_congr rfl ?_).trans Finset.biUnion_singleton_eq_self
intro J' hJ'
rw [inf_of_le_right, ← WithBot.some_eq_coe, Option.toFinset_some]
exact WithBot.coe_le_coe.2 ((π.le_of_mem hJ').trans h)
|
import Mathlib.Data.Finset.Fold
import Mathlib.Algebra.GCDMonoid.Multiset
#align_import algebra.gcd_monoid.finset from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
#align_import algebra.gcd_monoid.div from "leanprover-community/mathlib"@"b537794f8409bc9598febb79cd510b1df5f4539d"
variable {ι α β γ : Type*}
namespace Finset
open Multiset
variable [CancelCommMonoidWithZero α] [NormalizedGCDMonoid α]
section gcd
def gcd (s : Finset β) (f : β → α) : α :=
s.fold GCDMonoid.gcd 0 f
#align finset.gcd Finset.gcd
variable {s s₁ s₂ : Finset β} {f : β → α}
theorem gcd_def : s.gcd f = (s.1.map f).gcd :=
rfl
#align finset.gcd_def Finset.gcd_def
@[simp]
theorem gcd_empty : (∅ : Finset β).gcd f = 0 :=
fold_empty
#align finset.gcd_empty Finset.gcd_empty
theorem dvd_gcd_iff {a : α} : a ∣ s.gcd f ↔ ∀ b ∈ s, a ∣ f b := by
apply Iff.trans Multiset.dvd_gcd
simp only [Multiset.mem_map, and_imp, exists_imp]
exact ⟨fun k b hb ↦ k _ _ hb rfl, fun k a' b hb h ↦ h ▸ k _ hb⟩
#align finset.dvd_gcd_iff Finset.dvd_gcd_iff
theorem gcd_dvd {b : β} (hb : b ∈ s) : s.gcd f ∣ f b :=
dvd_gcd_iff.1 dvd_rfl _ hb
#align finset.gcd_dvd Finset.gcd_dvd
theorem dvd_gcd {a : α} : (∀ b ∈ s, a ∣ f b) → a ∣ s.gcd f :=
dvd_gcd_iff.2
#align finset.dvd_gcd Finset.dvd_gcd
@[simp]
theorem gcd_insert [DecidableEq β] {b : β} :
(insert b s : Finset β).gcd f = GCDMonoid.gcd (f b) (s.gcd f) := by
by_cases h : b ∈ s
· rw [insert_eq_of_mem h,
(gcd_eq_right_iff (f b) (s.gcd f) (Multiset.normalize_gcd (s.1.map f))).2 (gcd_dvd h)]
apply fold_insert h
#align finset.gcd_insert Finset.gcd_insert
@[simp]
theorem gcd_singleton {b : β} : ({b} : Finset β).gcd f = normalize (f b) :=
Multiset.gcd_singleton
#align finset.gcd_singleton Finset.gcd_singleton
-- Porting note: Priority changed for `simpNF`
@[simp 1100]
theorem normalize_gcd : normalize (s.gcd f) = s.gcd f := by simp [gcd_def]
#align finset.normalize_gcd Finset.normalize_gcd
theorem gcd_union [DecidableEq β] : (s₁ ∪ s₂).gcd f = GCDMonoid.gcd (s₁.gcd f) (s₂.gcd f) :=
Finset.induction_on s₁ (by rw [empty_union, gcd_empty, gcd_zero_left, normalize_gcd])
fun a s _ ih ↦ by rw [insert_union, gcd_insert, gcd_insert, ih, gcd_assoc]
#align finset.gcd_union Finset.gcd_union
theorem gcd_congr {f g : β → α} (hs : s₁ = s₂) (hfg : ∀ a ∈ s₂, f a = g a) :
s₁.gcd f = s₂.gcd g := by
subst hs
exact Finset.fold_congr hfg
#align finset.gcd_congr Finset.gcd_congr
theorem gcd_mono_fun {g : β → α} (h : ∀ b ∈ s, f b ∣ g b) : s.gcd f ∣ s.gcd g :=
dvd_gcd fun b hb ↦ (gcd_dvd hb).trans (h b hb)
#align finset.gcd_mono_fun Finset.gcd_mono_fun
theorem gcd_mono (h : s₁ ⊆ s₂) : s₂.gcd f ∣ s₁.gcd f :=
dvd_gcd fun _ hb ↦ gcd_dvd (h hb)
#align finset.gcd_mono Finset.gcd_mono
theorem gcd_image [DecidableEq β] {g : γ → β} (s : Finset γ) :
(s.image g).gcd f = s.gcd (f ∘ g) := by
classical induction' s using Finset.induction with c s _ ih <;> simp [*]
#align finset.gcd_image Finset.gcd_image
theorem gcd_eq_gcd_image [DecidableEq α] : s.gcd f = (s.image f).gcd id :=
Eq.symm <| gcd_image _
#align finset.gcd_eq_gcd_image Finset.gcd_eq_gcd_image
| Mathlib/Algebra/GCDMonoid/Finset.lean | 212 | 223 | theorem gcd_eq_zero_iff : s.gcd f = 0 ↔ ∀ x : β, x ∈ s → f x = 0 := by |
rw [gcd_def, Multiset.gcd_eq_zero_iff]
constructor <;> intro h
· intro b bs
apply h (f b)
simp only [Multiset.mem_map, mem_def.1 bs]
use b
simp only [mem_def.1 bs, eq_self_iff_true, and_self]
· intro a as
rw [Multiset.mem_map] at as
rcases as with ⟨b, ⟨bs, rfl⟩⟩
apply h b (mem_def.1 bs)
|
import Mathlib.Analysis.Complex.Basic
import Mathlib.Topology.FiberBundle.IsHomeomorphicTrivialBundle
#align_import analysis.complex.re_im_topology from "leanprover-community/mathlib"@"468b141b14016d54b479eb7a0fff1e360b7e3cf6"
open Set
noncomputable section
namespace Complex
theorem isHomeomorphicTrivialFiberBundle_re : IsHomeomorphicTrivialFiberBundle ℝ re :=
⟨equivRealProdCLM.toHomeomorph, fun _ => rfl⟩
#align complex.is_homeomorphic_trivial_fiber_bundle_re Complex.isHomeomorphicTrivialFiberBundle_re
theorem isHomeomorphicTrivialFiberBundle_im : IsHomeomorphicTrivialFiberBundle ℝ im :=
⟨equivRealProdCLM.toHomeomorph.trans (Homeomorph.prodComm ℝ ℝ), fun _ => rfl⟩
#align complex.is_homeomorphic_trivial_fiber_bundle_im Complex.isHomeomorphicTrivialFiberBundle_im
theorem isOpenMap_re : IsOpenMap re :=
isHomeomorphicTrivialFiberBundle_re.isOpenMap_proj
#align complex.is_open_map_re Complex.isOpenMap_re
theorem isOpenMap_im : IsOpenMap im :=
isHomeomorphicTrivialFiberBundle_im.isOpenMap_proj
#align complex.is_open_map_im Complex.isOpenMap_im
theorem quotientMap_re : QuotientMap re :=
isHomeomorphicTrivialFiberBundle_re.quotientMap_proj
#align complex.quotient_map_re Complex.quotientMap_re
theorem quotientMap_im : QuotientMap im :=
isHomeomorphicTrivialFiberBundle_im.quotientMap_proj
#align complex.quotient_map_im Complex.quotientMap_im
theorem interior_preimage_re (s : Set ℝ) : interior (re ⁻¹' s) = re ⁻¹' interior s :=
(isOpenMap_re.preimage_interior_eq_interior_preimage continuous_re _).symm
#align complex.interior_preimage_re Complex.interior_preimage_re
theorem interior_preimage_im (s : Set ℝ) : interior (im ⁻¹' s) = im ⁻¹' interior s :=
(isOpenMap_im.preimage_interior_eq_interior_preimage continuous_im _).symm
#align complex.interior_preimage_im Complex.interior_preimage_im
theorem closure_preimage_re (s : Set ℝ) : closure (re ⁻¹' s) = re ⁻¹' closure s :=
(isOpenMap_re.preimage_closure_eq_closure_preimage continuous_re _).symm
#align complex.closure_preimage_re Complex.closure_preimage_re
theorem closure_preimage_im (s : Set ℝ) : closure (im ⁻¹' s) = im ⁻¹' closure s :=
(isOpenMap_im.preimage_closure_eq_closure_preimage continuous_im _).symm
#align complex.closure_preimage_im Complex.closure_preimage_im
theorem frontier_preimage_re (s : Set ℝ) : frontier (re ⁻¹' s) = re ⁻¹' frontier s :=
(isOpenMap_re.preimage_frontier_eq_frontier_preimage continuous_re _).symm
#align complex.frontier_preimage_re Complex.frontier_preimage_re
theorem frontier_preimage_im (s : Set ℝ) : frontier (im ⁻¹' s) = im ⁻¹' frontier s :=
(isOpenMap_im.preimage_frontier_eq_frontier_preimage continuous_im _).symm
#align complex.frontier_preimage_im Complex.frontier_preimage_im
@[simp]
theorem interior_setOf_re_le (a : ℝ) : interior { z : ℂ | z.re ≤ a } = { z | z.re < a } := by
simpa only [interior_Iic] using interior_preimage_re (Iic a)
#align complex.interior_set_of_re_le Complex.interior_setOf_re_le
@[simp]
theorem interior_setOf_im_le (a : ℝ) : interior { z : ℂ | z.im ≤ a } = { z | z.im < a } := by
simpa only [interior_Iic] using interior_preimage_im (Iic a)
#align complex.interior_set_of_im_le Complex.interior_setOf_im_le
@[simp]
theorem interior_setOf_le_re (a : ℝ) : interior { z : ℂ | a ≤ z.re } = { z | a < z.re } := by
simpa only [interior_Ici] using interior_preimage_re (Ici a)
#align complex.interior_set_of_le_re Complex.interior_setOf_le_re
@[simp]
theorem interior_setOf_le_im (a : ℝ) : interior { z : ℂ | a ≤ z.im } = { z | a < z.im } := by
simpa only [interior_Ici] using interior_preimage_im (Ici a)
#align complex.interior_set_of_le_im Complex.interior_setOf_le_im
@[simp]
theorem closure_setOf_re_lt (a : ℝ) : closure { z : ℂ | z.re < a } = { z | z.re ≤ a } := by
simpa only [closure_Iio] using closure_preimage_re (Iio a)
#align complex.closure_set_of_re_lt Complex.closure_setOf_re_lt
@[simp]
theorem closure_setOf_im_lt (a : ℝ) : closure { z : ℂ | z.im < a } = { z | z.im ≤ a } := by
simpa only [closure_Iio] using closure_preimage_im (Iio a)
#align complex.closure_set_of_im_lt Complex.closure_setOf_im_lt
@[simp]
theorem closure_setOf_lt_re (a : ℝ) : closure { z : ℂ | a < z.re } = { z | a ≤ z.re } := by
simpa only [closure_Ioi] using closure_preimage_re (Ioi a)
#align complex.closure_set_of_lt_re Complex.closure_setOf_lt_re
@[simp]
theorem closure_setOf_lt_im (a : ℝ) : closure { z : ℂ | a < z.im } = { z | a ≤ z.im } := by
simpa only [closure_Ioi] using closure_preimage_im (Ioi a)
#align complex.closure_set_of_lt_im Complex.closure_setOf_lt_im
@[simp]
theorem frontier_setOf_re_le (a : ℝ) : frontier { z : ℂ | z.re ≤ a } = { z | z.re = a } := by
simpa only [frontier_Iic] using frontier_preimage_re (Iic a)
#align complex.frontier_set_of_re_le Complex.frontier_setOf_re_le
@[simp]
| Mathlib/Analysis/Complex/ReImTopology.lean | 139 | 140 | theorem frontier_setOf_im_le (a : ℝ) : frontier { z : ℂ | z.im ≤ a } = { z | z.im = a } := by |
simpa only [frontier_Iic] using frontier_preimage_im (Iic a)
|
import Mathlib.Algebra.Polynomial.FieldDivision
import Mathlib.FieldTheory.Minpoly.Basic
import Mathlib.RingTheory.Algebraic
#align_import field_theory.minpoly.field from "leanprover-community/mathlib"@"cbdf7b565832144d024caa5a550117c6df0204a5"
open scoped Classical
open Polynomial Set Function minpoly
namespace minpoly
variable {A B : Type*}
variable (A) [Field A]
section Ring
variable [Ring B] [Algebra A B] (x : B)
theorem degree_le_of_ne_zero {p : A[X]} (pnz : p ≠ 0) (hp : Polynomial.aeval x p = 0) :
degree (minpoly A x) ≤ degree p :=
calc
degree (minpoly A x) ≤ degree (p * C (leadingCoeff p)⁻¹) :=
min A x (monic_mul_leadingCoeff_inv pnz) (by simp [hp])
_ = degree p := degree_mul_leadingCoeff_inv p pnz
#align minpoly.degree_le_of_ne_zero minpoly.degree_le_of_ne_zero
theorem ne_zero_of_finite (e : B) [FiniteDimensional A B] : minpoly A e ≠ 0 :=
minpoly.ne_zero <| .of_finite A _
#align minpoly.ne_zero_of_finite_field_extension minpoly.ne_zero_of_finite
theorem unique {p : A[X]} (pmonic : p.Monic) (hp : Polynomial.aeval x p = 0)
(pmin : ∀ q : A[X], q.Monic → Polynomial.aeval x q = 0 → degree p ≤ degree q) :
p = minpoly A x := by
have hx : IsIntegral A x := ⟨p, pmonic, hp⟩
symm; apply eq_of_sub_eq_zero
by_contra hnz
apply degree_le_of_ne_zero A x hnz (by simp [hp]) |>.not_lt
apply degree_sub_lt _ (minpoly.ne_zero hx)
· rw [(monic hx).leadingCoeff, pmonic.leadingCoeff]
· exact le_antisymm (min A x pmonic hp) (pmin (minpoly A x) (monic hx) (aeval A x))
#align minpoly.unique minpoly.unique
| Mathlib/FieldTheory/Minpoly/Field.lean | 68 | 76 | theorem dvd {p : A[X]} (hp : Polynomial.aeval x p = 0) : minpoly A x ∣ p := by |
by_cases hp0 : p = 0
· simp only [hp0, dvd_zero]
have hx : IsIntegral A x := IsAlgebraic.isIntegral ⟨p, hp0, hp⟩
rw [← modByMonic_eq_zero_iff_dvd (monic hx)]
by_contra hnz
apply degree_le_of_ne_zero A x hnz
((aeval_modByMonic_eq_self_of_root (monic hx) (aeval _ _)).trans hp) |>.not_lt
exact degree_modByMonic_lt _ (monic hx)
|
import Mathlib.Order.Filter.Basic
import Mathlib.Topology.Bases
import Mathlib.Data.Set.Accumulate
import Mathlib.Topology.Bornology.Basic
import Mathlib.Topology.LocallyFinite
open Set Filter Topology TopologicalSpace Classical Function
universe u v
variable {X : Type u} {Y : Type v} {ι : Type*}
variable [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X}
-- compact sets
section Compact
lemma IsCompact.exists_clusterPt (hs : IsCompact s) {f : Filter X} [NeBot f] (hf : f ≤ 𝓟 s) :
∃ x ∈ s, ClusterPt x f := hs hf
lemma IsCompact.exists_mapClusterPt {ι : Type*} (hs : IsCompact s) {f : Filter ι} [NeBot f]
{u : ι → X} (hf : Filter.map u f ≤ 𝓟 s) :
∃ x ∈ s, MapClusterPt x f u := hs hf
theorem IsCompact.compl_mem_sets (hs : IsCompact s) {f : Filter X} (hf : ∀ x ∈ s, sᶜ ∈ 𝓝 x ⊓ f) :
sᶜ ∈ f := by
contrapose! hf
simp only [not_mem_iff_inf_principal_compl, compl_compl, inf_assoc] at hf ⊢
exact @hs _ hf inf_le_right
#align is_compact.compl_mem_sets IsCompact.compl_mem_sets
theorem IsCompact.compl_mem_sets_of_nhdsWithin (hs : IsCompact s) {f : Filter X}
(hf : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, tᶜ ∈ f) : sᶜ ∈ f := by
refine hs.compl_mem_sets fun x hx => ?_
rcases hf x hx with ⟨t, ht, hst⟩
replace ht := mem_inf_principal.1 ht
apply mem_inf_of_inter ht hst
rintro x ⟨h₁, h₂⟩ hs
exact h₂ (h₁ hs)
#align is_compact.compl_mem_sets_of_nhds_within IsCompact.compl_mem_sets_of_nhdsWithin
@[elab_as_elim]
theorem IsCompact.induction_on (hs : IsCompact s) {p : Set X → Prop} (he : p ∅)
(hmono : ∀ ⦃s t⦄, s ⊆ t → p t → p s) (hunion : ∀ ⦃s t⦄, p s → p t → p (s ∪ t))
(hnhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, p t) : p s := by
let f : Filter X := comk p he (fun _t ht _s hsub ↦ hmono hsub ht) (fun _s hs _t ht ↦ hunion hs ht)
have : sᶜ ∈ f := hs.compl_mem_sets_of_nhdsWithin (by simpa [f] using hnhds)
rwa [← compl_compl s]
#align is_compact.induction_on IsCompact.induction_on
theorem IsCompact.inter_right (hs : IsCompact s) (ht : IsClosed t) : IsCompact (s ∩ t) := by
intro f hnf hstf
obtain ⟨x, hsx, hx⟩ : ∃ x ∈ s, ClusterPt x f :=
hs (le_trans hstf (le_principal_iff.2 inter_subset_left))
have : x ∈ t := ht.mem_of_nhdsWithin_neBot <|
hx.mono <| le_trans hstf (le_principal_iff.2 inter_subset_right)
exact ⟨x, ⟨hsx, this⟩, hx⟩
#align is_compact.inter_right IsCompact.inter_right
theorem IsCompact.inter_left (ht : IsCompact t) (hs : IsClosed s) : IsCompact (s ∩ t) :=
inter_comm t s ▸ ht.inter_right hs
#align is_compact.inter_left IsCompact.inter_left
theorem IsCompact.diff (hs : IsCompact s) (ht : IsOpen t) : IsCompact (s \ t) :=
hs.inter_right (isClosed_compl_iff.mpr ht)
#align is_compact.diff IsCompact.diff
theorem IsCompact.of_isClosed_subset (hs : IsCompact s) (ht : IsClosed t) (h : t ⊆ s) :
IsCompact t :=
inter_eq_self_of_subset_right h ▸ hs.inter_right ht
#align is_compact_of_is_closed_subset IsCompact.of_isClosed_subset
theorem IsCompact.image_of_continuousOn {f : X → Y} (hs : IsCompact s) (hf : ContinuousOn f s) :
IsCompact (f '' s) := by
intro l lne ls
have : NeBot (l.comap f ⊓ 𝓟 s) :=
comap_inf_principal_neBot_of_image_mem lne (le_principal_iff.1 ls)
obtain ⟨x, hxs, hx⟩ : ∃ x ∈ s, ClusterPt x (l.comap f ⊓ 𝓟 s) := @hs _ this inf_le_right
haveI := hx.neBot
use f x, mem_image_of_mem f hxs
have : Tendsto f (𝓝 x ⊓ (comap f l ⊓ 𝓟 s)) (𝓝 (f x) ⊓ l) := by
convert (hf x hxs).inf (@tendsto_comap _ _ f l) using 1
rw [nhdsWithin]
ac_rfl
exact this.neBot
#align is_compact.image_of_continuous_on IsCompact.image_of_continuousOn
theorem IsCompact.image {f : X → Y} (hs : IsCompact s) (hf : Continuous f) : IsCompact (f '' s) :=
hs.image_of_continuousOn hf.continuousOn
#align is_compact.image IsCompact.image
theorem IsCompact.adherence_nhdset {f : Filter X} (hs : IsCompact s) (hf₂ : f ≤ 𝓟 s)
(ht₁ : IsOpen t) (ht₂ : ∀ x ∈ s, ClusterPt x f → x ∈ t) : t ∈ f :=
Classical.by_cases mem_of_eq_bot fun (this : f ⊓ 𝓟 tᶜ ≠ ⊥) =>
let ⟨x, hx, (hfx : ClusterPt x <| f ⊓ 𝓟 tᶜ)⟩ := @hs _ ⟨this⟩ <| inf_le_of_left_le hf₂
have : x ∈ t := ht₂ x hx hfx.of_inf_left
have : tᶜ ∩ t ∈ 𝓝[tᶜ] x := inter_mem_nhdsWithin _ (IsOpen.mem_nhds ht₁ this)
have A : 𝓝[tᶜ] x = ⊥ := empty_mem_iff_bot.1 <| compl_inter_self t ▸ this
have : 𝓝[tᶜ] x ≠ ⊥ := hfx.of_inf_right.ne
absurd A this
#align is_compact.adherence_nhdset IsCompact.adherence_nhdset
theorem isCompact_iff_ultrafilter_le_nhds :
IsCompact s ↔ ∀ f : Ultrafilter X, ↑f ≤ 𝓟 s → ∃ x ∈ s, ↑f ≤ 𝓝 x := by
refine (forall_neBot_le_iff ?_).trans ?_
· rintro f g hle ⟨x, hxs, hxf⟩
exact ⟨x, hxs, hxf.mono hle⟩
· simp only [Ultrafilter.clusterPt_iff]
#align is_compact_iff_ultrafilter_le_nhds isCompact_iff_ultrafilter_le_nhds
alias ⟨IsCompact.ultrafilter_le_nhds, _⟩ := isCompact_iff_ultrafilter_le_nhds
#align is_compact.ultrafilter_le_nhds IsCompact.ultrafilter_le_nhds
theorem isCompact_iff_ultrafilter_le_nhds' :
IsCompact s ↔ ∀ f : Ultrafilter X, s ∈ f → ∃ x ∈ s, ↑f ≤ 𝓝 x := by
simp only [isCompact_iff_ultrafilter_le_nhds, le_principal_iff, Ultrafilter.mem_coe]
alias ⟨IsCompact.ultrafilter_le_nhds', _⟩ := isCompact_iff_ultrafilter_le_nhds'
lemma IsCompact.le_nhds_of_unique_clusterPt (hs : IsCompact s) {l : Filter X} {y : X}
(hmem : s ∈ l) (h : ∀ x ∈ s, ClusterPt x l → x = y) : l ≤ 𝓝 y := by
refine le_iff_ultrafilter.2 fun f hf ↦ ?_
rcases hs.ultrafilter_le_nhds' f (hf hmem) with ⟨x, hxs, hx⟩
convert ← hx
exact h x hxs (.mono (.of_le_nhds hx) hf)
lemma IsCompact.tendsto_nhds_of_unique_mapClusterPt {l : Filter Y} {y : X} {f : Y → X}
(hs : IsCompact s) (hmem : ∀ᶠ x in l, f x ∈ s) (h : ∀ x ∈ s, MapClusterPt x l f → x = y) :
Tendsto f l (𝓝 y) :=
hs.le_nhds_of_unique_clusterPt (mem_map.2 hmem) h
theorem IsCompact.elim_directed_cover {ι : Type v} [hι : Nonempty ι] (hs : IsCompact s)
(U : ι → Set X) (hUo : ∀ i, IsOpen (U i)) (hsU : s ⊆ ⋃ i, U i) (hdU : Directed (· ⊆ ·) U) :
∃ i, s ⊆ U i :=
hι.elim fun i₀ =>
IsCompact.induction_on hs ⟨i₀, empty_subset _⟩ (fun _ _ hs ⟨i, hi⟩ => ⟨i, hs.trans hi⟩)
(fun _ _ ⟨i, hi⟩ ⟨j, hj⟩ =>
let ⟨k, hki, hkj⟩ := hdU i j
⟨k, union_subset (Subset.trans hi hki) (Subset.trans hj hkj)⟩)
fun _x hx =>
let ⟨i, hi⟩ := mem_iUnion.1 (hsU hx)
⟨U i, mem_nhdsWithin_of_mem_nhds (IsOpen.mem_nhds (hUo i) hi), i, Subset.refl _⟩
#align is_compact.elim_directed_cover IsCompact.elim_directed_cover
theorem IsCompact.elim_finite_subcover {ι : Type v} (hs : IsCompact s) (U : ι → Set X)
(hUo : ∀ i, IsOpen (U i)) (hsU : s ⊆ ⋃ i, U i) : ∃ t : Finset ι, s ⊆ ⋃ i ∈ t, U i :=
hs.elim_directed_cover _ (fun _ => isOpen_biUnion fun i _ => hUo i)
(iUnion_eq_iUnion_finset U ▸ hsU)
(directed_of_isDirected_le fun _ _ h => biUnion_subset_biUnion_left h)
#align is_compact.elim_finite_subcover IsCompact.elim_finite_subcover
lemma IsCompact.elim_nhds_subcover_nhdsSet' (hs : IsCompact s) (U : ∀ x ∈ s, Set X)
(hU : ∀ x hx, U x hx ∈ 𝓝 x) : ∃ t : Finset s, (⋃ x ∈ t, U x.1 x.2) ∈ 𝓝ˢ s := by
rcases hs.elim_finite_subcover (fun x : s ↦ interior (U x x.2)) (fun _ ↦ isOpen_interior)
fun x hx ↦ mem_iUnion.2 ⟨⟨x, hx⟩, mem_interior_iff_mem_nhds.2 <| hU _ _⟩ with ⟨t, hst⟩
refine ⟨t, mem_nhdsSet_iff_forall.2 fun x hx ↦ ?_⟩
rcases mem_iUnion₂.1 (hst hx) with ⟨y, hyt, hy⟩
refine mem_of_superset ?_ (subset_biUnion_of_mem hyt)
exact mem_interior_iff_mem_nhds.1 hy
lemma IsCompact.elim_nhds_subcover_nhdsSet (hs : IsCompact s) {U : X → Set X}
(hU : ∀ x ∈ s, U x ∈ 𝓝 x) : ∃ t : Finset X, (∀ x ∈ t, x ∈ s) ∧ (⋃ x ∈ t, U x) ∈ 𝓝ˢ s :=
let ⟨t, ht⟩ := hs.elim_nhds_subcover_nhdsSet' (fun x _ => U x) hU
⟨t.image (↑), fun x hx =>
let ⟨y, _, hyx⟩ := Finset.mem_image.1 hx
hyx ▸ y.2,
by rwa [Finset.set_biUnion_finset_image]⟩
theorem IsCompact.elim_nhds_subcover' (hs : IsCompact s) (U : ∀ x ∈ s, Set X)
(hU : ∀ x (hx : x ∈ s), U x ‹x ∈ s› ∈ 𝓝 x) : ∃ t : Finset s, s ⊆ ⋃ x ∈ t, U (x : s) x.2 :=
(hs.elim_nhds_subcover_nhdsSet' U hU).imp fun _ ↦ subset_of_mem_nhdsSet
#align is_compact.elim_nhds_subcover' IsCompact.elim_nhds_subcover'
theorem IsCompact.elim_nhds_subcover (hs : IsCompact s) (U : X → Set X) (hU : ∀ x ∈ s, U x ∈ 𝓝 x) :
∃ t : Finset X, (∀ x ∈ t, x ∈ s) ∧ s ⊆ ⋃ x ∈ t, U x :=
(hs.elim_nhds_subcover_nhdsSet hU).imp fun _ h ↦ h.imp_right subset_of_mem_nhdsSet
#align is_compact.elim_nhds_subcover IsCompact.elim_nhds_subcover
theorem IsCompact.disjoint_nhdsSet_left {l : Filter X} (hs : IsCompact s) :
Disjoint (𝓝ˢ s) l ↔ ∀ x ∈ s, Disjoint (𝓝 x) l := by
refine ⟨fun h x hx => h.mono_left <| nhds_le_nhdsSet hx, fun H => ?_⟩
choose! U hxU hUl using fun x hx => (nhds_basis_opens x).disjoint_iff_left.1 (H x hx)
choose hxU hUo using hxU
rcases hs.elim_nhds_subcover U fun x hx => (hUo x hx).mem_nhds (hxU x hx) with ⟨t, hts, hst⟩
refine (hasBasis_nhdsSet _).disjoint_iff_left.2
⟨⋃ x ∈ t, U x, ⟨isOpen_biUnion fun x hx => hUo x (hts x hx), hst⟩, ?_⟩
rw [compl_iUnion₂, biInter_finset_mem]
exact fun x hx => hUl x (hts x hx)
#align is_compact.disjoint_nhds_set_left IsCompact.disjoint_nhdsSet_left
theorem IsCompact.disjoint_nhdsSet_right {l : Filter X} (hs : IsCompact s) :
Disjoint l (𝓝ˢ s) ↔ ∀ x ∈ s, Disjoint l (𝓝 x) := by
simpa only [disjoint_comm] using hs.disjoint_nhdsSet_left
#align is_compact.disjoint_nhds_set_right IsCompact.disjoint_nhdsSet_right
-- Porting note (#11215): TODO: reformulate using `Disjoint`
theorem IsCompact.elim_directed_family_closed {ι : Type v} [hι : Nonempty ι] (hs : IsCompact s)
(t : ι → Set X) (htc : ∀ i, IsClosed (t i)) (hst : (s ∩ ⋂ i, t i) = ∅)
(hdt : Directed (· ⊇ ·) t) : ∃ i : ι, s ∩ t i = ∅ :=
let ⟨t, ht⟩ :=
hs.elim_directed_cover (compl ∘ t) (fun i => (htc i).isOpen_compl)
(by
simpa only [subset_def, not_forall, eq_empty_iff_forall_not_mem, mem_iUnion, exists_prop,
mem_inter_iff, not_and, iff_self_iff, mem_iInter, mem_compl_iff] using hst)
(hdt.mono_comp _ fun _ _ => compl_subset_compl.mpr)
⟨t, by
simpa only [subset_def, not_forall, eq_empty_iff_forall_not_mem, mem_iUnion, exists_prop,
mem_inter_iff, not_and, iff_self_iff, mem_iInter, mem_compl_iff] using ht⟩
#align is_compact.elim_directed_family_closed IsCompact.elim_directed_family_closed
-- Porting note (#11215): TODO: reformulate using `Disjoint`
theorem IsCompact.elim_finite_subfamily_closed {ι : Type v} (hs : IsCompact s)
(t : ι → Set X) (htc : ∀ i, IsClosed (t i)) (hst : (s ∩ ⋂ i, t i) = ∅) :
∃ u : Finset ι, (s ∩ ⋂ i ∈ u, t i) = ∅ :=
hs.elim_directed_family_closed _ (fun t ↦ isClosed_biInter fun _ _ ↦ htc _)
(by rwa [← iInter_eq_iInter_finset])
(directed_of_isDirected_le fun _ _ h ↦ biInter_subset_biInter_left h)
#align is_compact.elim_finite_subfamily_closed IsCompact.elim_finite_subfamily_closed
theorem LocallyFinite.finite_nonempty_inter_compact {f : ι → Set X}
(hf : LocallyFinite f) (hs : IsCompact s) : { i | (f i ∩ s).Nonempty }.Finite := by
choose U hxU hUf using hf
rcases hs.elim_nhds_subcover U fun x _ => hxU x with ⟨t, -, hsU⟩
refine (t.finite_toSet.biUnion fun x _ => hUf x).subset ?_
rintro i ⟨x, hx⟩
rcases mem_iUnion₂.1 (hsU hx.2) with ⟨c, hct, hcx⟩
exact mem_biUnion hct ⟨x, hx.1, hcx⟩
#align locally_finite.finite_nonempty_inter_compact LocallyFinite.finite_nonempty_inter_compact
theorem IsCompact.inter_iInter_nonempty {ι : Type v} (hs : IsCompact s) (t : ι → Set X)
(htc : ∀ i, IsClosed (t i)) (hst : ∀ u : Finset ι, (s ∩ ⋂ i ∈ u, t i).Nonempty) :
(s ∩ ⋂ i, t i).Nonempty := by
contrapose! hst
exact hs.elim_finite_subfamily_closed t htc hst
#align is_compact.inter_Inter_nonempty IsCompact.inter_iInter_nonempty
theorem IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed
{ι : Type v} [hι : Nonempty ι] (t : ι → Set X) (htd : Directed (· ⊇ ·) t)
(htn : ∀ i, (t i).Nonempty) (htc : ∀ i, IsCompact (t i)) (htcl : ∀ i, IsClosed (t i)) :
(⋂ i, t i).Nonempty := by
let i₀ := hι.some
suffices (t i₀ ∩ ⋂ i, t i).Nonempty by
rwa [inter_eq_right.mpr (iInter_subset _ i₀)] at this
simp only [nonempty_iff_ne_empty] at htn ⊢
apply mt ((htc i₀).elim_directed_family_closed t htcl)
push_neg
simp only [← nonempty_iff_ne_empty] at htn ⊢
refine ⟨htd, fun i => ?_⟩
rcases htd i₀ i with ⟨j, hji₀, hji⟩
exact (htn j).mono (subset_inter hji₀ hji)
#align is_compact.nonempty_Inter_of_directed_nonempty_compact_closed IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed
@[deprecated (since := "2024-02-28")]
alias IsCompact.nonempty_iInter_of_directed_nonempty_compact_closed :=
IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed
theorem IsCompact.nonempty_sInter_of_directed_nonempty_isCompact_isClosed
{S : Set (Set X)} [hS : Nonempty S] (hSd : DirectedOn (· ⊇ ·) S) (hSn : ∀ U ∈ S, U.Nonempty)
(hSc : ∀ U ∈ S, IsCompact U) (hScl : ∀ U ∈ S, IsClosed U) : (⋂₀ S).Nonempty := by
rw [sInter_eq_iInter]
exact IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed _
(DirectedOn.directed_val hSd) (fun i ↦ hSn i i.2) (fun i ↦ hSc i i.2) (fun i ↦ hScl i i.2)
theorem IsCompact.nonempty_iInter_of_sequence_nonempty_isCompact_isClosed (t : ℕ → Set X)
(htd : ∀ i, t (i + 1) ⊆ t i) (htn : ∀ i, (t i).Nonempty) (ht0 : IsCompact (t 0))
(htcl : ∀ i, IsClosed (t i)) : (⋂ i, t i).Nonempty :=
have tmono : Antitone t := antitone_nat_of_succ_le htd
have htd : Directed (· ⊇ ·) t := tmono.directed_ge
have : ∀ i, t i ⊆ t 0 := fun i => tmono <| zero_le i
have htc : ∀ i, IsCompact (t i) := fun i => ht0.of_isClosed_subset (htcl i) (this i)
IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed t htd htn htc htcl
#align is_compact.nonempty_Inter_of_sequence_nonempty_compact_closed IsCompact.nonempty_iInter_of_sequence_nonempty_isCompact_isClosed
@[deprecated (since := "2024-02-28")]
alias IsCompact.nonempty_iInter_of_sequence_nonempty_compact_closed :=
IsCompact.nonempty_iInter_of_sequence_nonempty_isCompact_isClosed
theorem IsCompact.elim_finite_subcover_image {b : Set ι} {c : ι → Set X} (hs : IsCompact s)
(hc₁ : ∀ i ∈ b, IsOpen (c i)) (hc₂ : s ⊆ ⋃ i ∈ b, c i) :
∃ b', b' ⊆ b ∧ Set.Finite b' ∧ s ⊆ ⋃ i ∈ b', c i := by
simp only [Subtype.forall', biUnion_eq_iUnion] at hc₁ hc₂
rcases hs.elim_finite_subcover (fun i => c i : b → Set X) hc₁ hc₂ with ⟨d, hd⟩
refine ⟨Subtype.val '' d.toSet, ?_, d.finite_toSet.image _, ?_⟩
· simp
· rwa [biUnion_image]
#align is_compact.elim_finite_subcover_image IsCompact.elim_finite_subcover_imageₓ
theorem isCompact_of_finite_subcover
(h : ∀ {ι : Type u} (U : ι → Set X), (∀ i, IsOpen (U i)) → (s ⊆ ⋃ i, U i) →
∃ t : Finset ι, s ⊆ ⋃ i ∈ t, U i) :
IsCompact s := fun f hf hfs => by
contrapose! h
simp only [ClusterPt, not_neBot, ← disjoint_iff, SetCoe.forall',
(nhds_basis_opens _).disjoint_iff_left] at h
choose U hU hUf using h
refine ⟨s, U, fun x => (hU x).2, fun x hx => mem_iUnion.2 ⟨⟨x, hx⟩, (hU _).1⟩, fun t ht => ?_⟩
refine compl_not_mem (le_principal_iff.1 hfs) ?_
refine mem_of_superset ((biInter_finset_mem t).2 fun x _ => hUf x) ?_
rw [subset_compl_comm, compl_iInter₂]
simpa only [compl_compl]
#align is_compact_of_finite_subcover isCompact_of_finite_subcover
-- Porting note (#11215): TODO: reformulate using `Disjoint`
theorem isCompact_of_finite_subfamily_closed
(h : ∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → (s ∩ ⋂ i, t i) = ∅ →
∃ u : Finset ι, (s ∩ ⋂ i ∈ u, t i) = ∅) :
IsCompact s :=
isCompact_of_finite_subcover fun U hUo hsU => by
rw [← disjoint_compl_right_iff_subset, compl_iUnion, disjoint_iff] at hsU
rcases h (fun i => (U i)ᶜ) (fun i => (hUo _).isClosed_compl) hsU with ⟨t, ht⟩
refine ⟨t, ?_⟩
rwa [← disjoint_compl_right_iff_subset, compl_iUnion₂, disjoint_iff]
#align is_compact_of_finite_subfamily_closed isCompact_of_finite_subfamily_closed
theorem isCompact_iff_finite_subcover :
IsCompact s ↔ ∀ {ι : Type u} (U : ι → Set X),
(∀ i, IsOpen (U i)) → (s ⊆ ⋃ i, U i) → ∃ t : Finset ι, s ⊆ ⋃ i ∈ t, U i :=
⟨fun hs => hs.elim_finite_subcover, isCompact_of_finite_subcover⟩
#align is_compact_iff_finite_subcover isCompact_iff_finite_subcover
theorem isCompact_iff_finite_subfamily_closed :
IsCompact s ↔ ∀ {ι : Type u} (t : ι → Set X),
(∀ i, IsClosed (t i)) → (s ∩ ⋂ i, t i) = ∅ → ∃ u : Finset ι, (s ∩ ⋂ i ∈ u, t i) = ∅ :=
⟨fun hs => hs.elim_finite_subfamily_closed, isCompact_of_finite_subfamily_closed⟩
#align is_compact_iff_finite_subfamily_closed isCompact_iff_finite_subfamily_closed
theorem IsCompact.mem_nhdsSet_prod_of_forall {K : Set X} {l : Filter Y} {s : Set (X × Y)}
(hK : IsCompact K) (hs : ∀ x ∈ K, s ∈ 𝓝 x ×ˢ l) : s ∈ (𝓝ˢ K) ×ˢ l := by
refine hK.induction_on (by simp) (fun t t' ht hs ↦ ?_) (fun t t' ht ht' ↦ ?_) fun x hx ↦ ?_
· exact prod_mono (nhdsSet_mono ht) le_rfl hs
· simp [sup_prod, *]
· rcases ((nhds_basis_opens _).prod l.basis_sets).mem_iff.1 (hs x hx)
with ⟨⟨u, v⟩, ⟨⟨hx, huo⟩, hv⟩, hs⟩
refine ⟨u, nhdsWithin_le_nhds (huo.mem_nhds hx), mem_of_superset ?_ hs⟩
exact prod_mem_prod (huo.mem_nhdsSet.2 Subset.rfl) hv
theorem IsCompact.nhdsSet_prod_eq_biSup {K : Set X} (hK : IsCompact K) (l : Filter Y) :
(𝓝ˢ K) ×ˢ l = ⨆ x ∈ K, 𝓝 x ×ˢ l :=
le_antisymm (fun s hs ↦ hK.mem_nhdsSet_prod_of_forall <| by simpa using hs)
(iSup₂_le fun x hx ↦ prod_mono (nhds_le_nhdsSet hx) le_rfl)
theorem IsCompact.prod_nhdsSet_eq_biSup {K : Set Y} (hK : IsCompact K) (l : Filter X) :
l ×ˢ (𝓝ˢ K) = ⨆ y ∈ K, l ×ˢ 𝓝 y := by
simp only [prod_comm (f := l), hK.nhdsSet_prod_eq_biSup, map_iSup]
theorem IsCompact.mem_prod_nhdsSet_of_forall {K : Set Y} {l : Filter X} {s : Set (X × Y)}
(hK : IsCompact K) (hs : ∀ y ∈ K, s ∈ l ×ˢ 𝓝 y) : s ∈ l ×ˢ 𝓝ˢ K :=
(hK.prod_nhdsSet_eq_biSup l).symm ▸ by simpa using hs
-- TODO: Is there a way to prove directly the `inf` version and then deduce the `Prod` one ?
-- That would seem a bit more natural.
theorem IsCompact.nhdsSet_inf_eq_biSup {K : Set X} (hK : IsCompact K) (l : Filter X) :
(𝓝ˢ K) ⊓ l = ⨆ x ∈ K, 𝓝 x ⊓ l := by
have : ∀ f : Filter X, f ⊓ l = comap (fun x ↦ (x, x)) (f ×ˢ l) := fun f ↦ by
simpa only [comap_prod] using congrArg₂ (· ⊓ ·) comap_id.symm comap_id.symm
simp_rw [this, ← comap_iSup, hK.nhdsSet_prod_eq_biSup]
theorem IsCompact.inf_nhdsSet_eq_biSup {K : Set X} (hK : IsCompact K) (l : Filter X) :
l ⊓ (𝓝ˢ K) = ⨆ x ∈ K, l ⊓ 𝓝 x := by
simp only [inf_comm l, hK.nhdsSet_inf_eq_biSup]
theorem IsCompact.mem_nhdsSet_inf_of_forall {K : Set X} {l : Filter X} {s : Set X}
(hK : IsCompact K) (hs : ∀ x ∈ K, s ∈ 𝓝 x ⊓ l) : s ∈ (𝓝ˢ K) ⊓ l :=
(hK.nhdsSet_inf_eq_biSup l).symm ▸ by simpa using hs
theorem IsCompact.mem_inf_nhdsSet_of_forall {K : Set X} {l : Filter X} {s : Set X}
(hK : IsCompact K) (hs : ∀ y ∈ K, s ∈ l ⊓ 𝓝 y) : s ∈ l ⊓ 𝓝ˢ K :=
(hK.inf_nhdsSet_eq_biSup l).symm ▸ by simpa using hs
theorem IsCompact.eventually_forall_of_forall_eventually {x₀ : X} {K : Set Y} (hK : IsCompact K)
{P : X → Y → Prop} (hP : ∀ y ∈ K, ∀ᶠ z : X × Y in 𝓝 (x₀, y), P z.1 z.2) :
∀ᶠ x in 𝓝 x₀, ∀ y ∈ K, P x y := by
simp only [nhds_prod_eq, ← eventually_iSup, ← hK.prod_nhdsSet_eq_biSup] at hP
exact hP.curry.mono fun _ h ↦ h.self_of_nhdsSet
#align is_compact.eventually_forall_of_forall_eventually IsCompact.eventually_forall_of_forall_eventually
@[simp]
theorem isCompact_empty : IsCompact (∅ : Set X) := fun _f hnf hsf =>
Not.elim hnf.ne <| empty_mem_iff_bot.1 <| le_principal_iff.1 hsf
#align is_compact_empty isCompact_empty
@[simp]
theorem isCompact_singleton {x : X} : IsCompact ({x} : Set X) := fun f hf hfa =>
⟨x, rfl, ClusterPt.of_le_nhds'
(hfa.trans <| by simpa only [principal_singleton] using pure_le_nhds x) hf⟩
#align is_compact_singleton isCompact_singleton
theorem Set.Subsingleton.isCompact (hs : s.Subsingleton) : IsCompact s :=
Subsingleton.induction_on hs isCompact_empty fun _ => isCompact_singleton
#align set.subsingleton.is_compact Set.Subsingleton.isCompact
-- Porting note: golfed a proof instead of fixing it
theorem Set.Finite.isCompact_biUnion {s : Set ι} {f : ι → Set X} (hs : s.Finite)
(hf : ∀ i ∈ s, IsCompact (f i)) : IsCompact (⋃ i ∈ s, f i) :=
isCompact_iff_ultrafilter_le_nhds'.2 fun l hl => by
rw [Ultrafilter.finite_biUnion_mem_iff hs] at hl
rcases hl with ⟨i, his, hi⟩
rcases (hf i his).ultrafilter_le_nhds _ (le_principal_iff.2 hi) with ⟨x, hxi, hlx⟩
exact ⟨x, mem_iUnion₂.2 ⟨i, his, hxi⟩, hlx⟩
#align set.finite.is_compact_bUnion Set.Finite.isCompact_biUnion
theorem Finset.isCompact_biUnion (s : Finset ι) {f : ι → Set X} (hf : ∀ i ∈ s, IsCompact (f i)) :
IsCompact (⋃ i ∈ s, f i) :=
s.finite_toSet.isCompact_biUnion hf
#align finset.is_compact_bUnion Finset.isCompact_biUnion
theorem isCompact_accumulate {K : ℕ → Set X} (hK : ∀ n, IsCompact (K n)) (n : ℕ) :
IsCompact (Accumulate K n) :=
(finite_le_nat n).isCompact_biUnion fun k _ => hK k
#align is_compact_accumulate isCompact_accumulate
-- Porting note (#10756): new lemma
theorem Set.Finite.isCompact_sUnion {S : Set (Set X)} (hf : S.Finite) (hc : ∀ s ∈ S, IsCompact s) :
IsCompact (⋃₀ S) := by
rw [sUnion_eq_biUnion]; exact hf.isCompact_biUnion hc
-- Porting note: generalized to `ι : Sort*`
theorem isCompact_iUnion {ι : Sort*} {f : ι → Set X} [Finite ι] (h : ∀ i, IsCompact (f i)) :
IsCompact (⋃ i, f i) :=
(finite_range f).isCompact_sUnion <| forall_mem_range.2 h
#align is_compact_Union isCompact_iUnion
theorem Set.Finite.isCompact (hs : s.Finite) : IsCompact s :=
biUnion_of_singleton s ▸ hs.isCompact_biUnion fun _ _ => isCompact_singleton
#align set.finite.is_compact Set.Finite.isCompact
| Mathlib/Topology/Compactness/Compact.lean | 512 | 516 | theorem IsCompact.finite_of_discrete [DiscreteTopology X] (hs : IsCompact s) : s.Finite := by |
have : ∀ x : X, ({x} : Set X) ∈ 𝓝 x := by simp [nhds_discrete]
rcases hs.elim_nhds_subcover (fun x => {x}) fun x _ => this x with ⟨t, _, hst⟩
simp only [← t.set_biUnion_coe, biUnion_of_singleton] at hst
exact t.finite_toSet.subset hst
|
import Mathlib.Probability.ProbabilityMassFunction.Monad
#align_import probability.probability_mass_function.constructions from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d"
universe u
namespace PMF
noncomputable section
variable {α β γ : Type*}
open scoped Classical
open NNReal ENNReal
section Map
def map (f : α → β) (p : PMF α) : PMF β :=
bind p (pure ∘ f)
#align pmf.map PMF.map
variable (f : α → β) (p : PMF α) (b : β)
theorem monad_map_eq_map {α β : Type u} (f : α → β) (p : PMF α) : f <$> p = p.map f := rfl
#align pmf.monad_map_eq_map PMF.monad_map_eq_map
@[simp]
theorem map_apply : (map f p) b = ∑' a, if b = f a then p a else 0 := by simp [map]
#align pmf.map_apply PMF.map_apply
@[simp]
theorem support_map : (map f p).support = f '' p.support :=
Set.ext fun b => by simp [map, @eq_comm β b]
#align pmf.support_map PMF.support_map
theorem mem_support_map_iff : b ∈ (map f p).support ↔ ∃ a ∈ p.support, f a = b := by simp
#align pmf.mem_support_map_iff PMF.mem_support_map_iff
theorem bind_pure_comp : bind p (pure ∘ f) = map f p := rfl
#align pmf.bind_pure_comp PMF.bind_pure_comp
theorem map_id : map id p = p :=
bind_pure _
#align pmf.map_id PMF.map_id
theorem map_comp (g : β → γ) : (p.map f).map g = p.map (g ∘ f) := by simp [map, Function.comp]
#align pmf.map_comp PMF.map_comp
theorem pure_map (a : α) : (pure a).map f = pure (f a) :=
pure_bind _ _
#align pmf.pure_map PMF.pure_map
theorem map_bind (q : α → PMF β) (f : β → γ) : (p.bind q).map f = p.bind fun a => (q a).map f :=
bind_bind _ _ _
#align pmf.map_bind PMF.map_bind
@[simp]
theorem bind_map (p : PMF α) (f : α → β) (q : β → PMF γ) : (p.map f).bind q = p.bind (q ∘ f) :=
(bind_bind _ _ _).trans (congr_arg _ (funext fun _ => pure_bind _ _))
#align pmf.bind_map PMF.bind_map
@[simp]
theorem map_const : p.map (Function.const α b) = pure b := by
simp only [map, Function.comp, bind_const, Function.const]
#align pmf.map_const PMF.map_const
section Measure
variable (s : Set β)
@[simp]
theorem toOuterMeasure_map_apply : (p.map f).toOuterMeasure s = p.toOuterMeasure (f ⁻¹' s) := by
simp [map, Set.indicator, toOuterMeasure_apply p (f ⁻¹' s)]
#align pmf.to_outer_measure_map_apply PMF.toOuterMeasure_map_apply
@[simp]
| Mathlib/Probability/ProbabilityMassFunction/Constructions.lean | 101 | 105 | theorem toMeasure_map_apply [MeasurableSpace α] [MeasurableSpace β] (hf : Measurable f)
(hs : MeasurableSet s) : (p.map f).toMeasure s = p.toMeasure (f ⁻¹' s) := by |
rw [toMeasure_apply_eq_toOuterMeasure_apply _ s hs,
toMeasure_apply_eq_toOuterMeasure_apply _ (f ⁻¹' s) (measurableSet_preimage hf hs)]
exact toOuterMeasure_map_apply f p s
|
import Mathlib.RingTheory.WittVector.Domain
import Mathlib.RingTheory.WittVector.MulCoeff
import Mathlib.RingTheory.DiscreteValuationRing.Basic
import Mathlib.Tactic.LinearCombination
#align_import ring_theory.witt_vector.discrete_valuation_ring from "leanprover-community/mathlib"@"c163ec99dfc664628ca15d215fce0a5b9c265b68"
noncomputable section
namespace WittVector
variable {p : ℕ} [hp : Fact p.Prime]
local notation "𝕎" => WittVector p
section PerfectRing
variable {k : Type*} [CommRing k] [CharP k p] [PerfectRing k p]
| Mathlib/RingTheory/WittVector/DiscreteValuationRing.lean | 121 | 135 | theorem exists_eq_pow_p_mul (a : 𝕎 k) (ha : a ≠ 0) :
∃ (m : ℕ) (b : 𝕎 k), b.coeff 0 ≠ 0 ∧ a = (p : 𝕎 k) ^ m * b := by |
obtain ⟨m, c, hc, hcm⟩ := WittVector.verschiebung_nonzero ha
obtain ⟨b, rfl⟩ := (frobenius_bijective p k).surjective.iterate m c
rw [WittVector.iterate_frobenius_coeff] at hc
have := congr_fun (WittVector.verschiebung_frobenius_comm.comp_iterate m) b
simp only [Function.comp_apply] at this
rw [← this] at hcm
refine ⟨m, b, ?_, ?_⟩
· contrapose! hc
simp [hc, zero_pow $ pow_ne_zero _ hp.out.ne_zero]
· simp_rw [← mul_left_iterate (p : 𝕎 k) m]
convert hcm using 2
ext1 x
rw [mul_comm, ← WittVector.verschiebung_frobenius x]; rfl
|
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.ContDiff.Defs
#align_import analysis.calculus.iterated_deriv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
noncomputable section
open scoped Classical Topology
open Filter Asymptotics Set
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
def iteratedDeriv (n : ℕ) (f : 𝕜 → F) (x : 𝕜) : F :=
(iteratedFDeriv 𝕜 n f x : (Fin n → 𝕜) → F) fun _ : Fin n => 1
#align iterated_deriv iteratedDeriv
def iteratedDerivWithin (n : ℕ) (f : 𝕜 → F) (s : Set 𝕜) (x : 𝕜) : F :=
(iteratedFDerivWithin 𝕜 n f s x : (Fin n → 𝕜) → F) fun _ : Fin n => 1
#align iterated_deriv_within iteratedDerivWithin
variable {n : ℕ} {f : 𝕜 → F} {s : Set 𝕜} {x : 𝕜}
theorem iteratedDerivWithin_univ : iteratedDerivWithin n f univ = iteratedDeriv n f := by
ext x
rw [iteratedDerivWithin, iteratedDeriv, iteratedFDerivWithin_univ]
#align iterated_deriv_within_univ iteratedDerivWithin_univ
theorem iteratedDerivWithin_eq_iteratedFDerivWithin : iteratedDerivWithin n f s x =
(iteratedFDerivWithin 𝕜 n f s x : (Fin n → 𝕜) → F) fun _ : Fin n => 1 :=
rfl
#align iterated_deriv_within_eq_iterated_fderiv_within iteratedDerivWithin_eq_iteratedFDerivWithin
theorem iteratedDerivWithin_eq_equiv_comp : iteratedDerivWithin n f s =
(ContinuousMultilinearMap.piFieldEquiv 𝕜 (Fin n) F).symm ∘ iteratedFDerivWithin 𝕜 n f s := by
ext x; rfl
#align iterated_deriv_within_eq_equiv_comp iteratedDerivWithin_eq_equiv_comp
theorem iteratedFDerivWithin_eq_equiv_comp :
iteratedFDerivWithin 𝕜 n f s =
ContinuousMultilinearMap.piFieldEquiv 𝕜 (Fin n) F ∘ iteratedDerivWithin n f s := by
rw [iteratedDerivWithin_eq_equiv_comp, ← Function.comp.assoc, LinearIsometryEquiv.self_comp_symm,
Function.id_comp]
#align iterated_fderiv_within_eq_equiv_comp iteratedFDerivWithin_eq_equiv_comp
theorem iteratedFDerivWithin_apply_eq_iteratedDerivWithin_mul_prod {m : Fin n → 𝕜} :
(iteratedFDerivWithin 𝕜 n f s x : (Fin n → 𝕜) → F) m =
(∏ i, m i) • iteratedDerivWithin n f s x := by
rw [iteratedDerivWithin_eq_iteratedFDerivWithin, ← ContinuousMultilinearMap.map_smul_univ]
simp
#align iterated_fderiv_within_apply_eq_iterated_deriv_within_mul_prod iteratedFDerivWithin_apply_eq_iteratedDerivWithin_mul_prod
theorem norm_iteratedFDerivWithin_eq_norm_iteratedDerivWithin :
‖iteratedFDerivWithin 𝕜 n f s x‖ = ‖iteratedDerivWithin n f s x‖ := by
rw [iteratedDerivWithin_eq_equiv_comp, Function.comp_apply, LinearIsometryEquiv.norm_map]
#align norm_iterated_fderiv_within_eq_norm_iterated_deriv_within norm_iteratedFDerivWithin_eq_norm_iteratedDerivWithin
@[simp]
theorem iteratedDerivWithin_zero : iteratedDerivWithin 0 f s = f := by
ext x
simp [iteratedDerivWithin]
#align iterated_deriv_within_zero iteratedDerivWithin_zero
@[simp]
| Mathlib/Analysis/Calculus/IteratedDeriv/Defs.lean | 119 | 121 | theorem iteratedDerivWithin_one {x : 𝕜} (h : UniqueDiffWithinAt 𝕜 s x) :
iteratedDerivWithin 1 f s x = derivWithin f s x := by |
simp only [iteratedDerivWithin, iteratedFDerivWithin_one_apply h]; rfl
|
import Mathlib.Geometry.Euclidean.Sphere.Power
import Mathlib.Geometry.Euclidean.Triangle
#align_import geometry.euclidean.sphere.ptolemy from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
open Real
open scoped EuclideanGeometry RealInnerProductSpace Real
namespace EuclideanGeometry
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
variable {P : Type*} [MetricSpace P] [NormedAddTorsor V P]
| Mathlib/Geometry/Euclidean/Sphere/Ptolemy.lean | 53 | 70 | theorem mul_dist_add_mul_dist_eq_mul_dist_of_cospherical {a b c d p : P}
(h : Cospherical ({a, b, c, d} : Set P)) (hapc : ∠ a p c = π) (hbpd : ∠ b p d = π) :
dist a b * dist c d + dist b c * dist d a = dist a c * dist b d := by |
have h' : Cospherical ({a, c, b, d} : Set P) := by rwa [Set.insert_comm c b {d}]
have hmul := mul_dist_eq_mul_dist_of_cospherical_of_angle_eq_pi h' hapc hbpd
have hbp := left_dist_ne_zero_of_angle_eq_pi hbpd
have h₁ : dist c d = dist c p / dist b p * dist a b := by
rw [dist_mul_of_eq_angle_of_dist_mul b p a c p d, dist_comm a b]
· rw [angle_eq_angle_of_angle_eq_pi_of_angle_eq_pi hbpd hapc, angle_comm]
all_goals field_simp [mul_comm, hmul]
have h₂ : dist d a = dist a p / dist b p * dist b c := by
rw [dist_mul_of_eq_angle_of_dist_mul c p b d p a, dist_comm c b]
· rwa [angle_comm, angle_eq_angle_of_angle_eq_pi_of_angle_eq_pi]; rwa [angle_comm]
all_goals field_simp [mul_comm, hmul]
have h₃ : dist d p = dist a p * dist c p / dist b p := by field_simp [mul_comm, hmul]
have h₄ : ∀ x y : ℝ, x * (y * x) = x * x * y := fun x y => by rw [mul_left_comm, mul_comm]
field_simp [h₁, h₂, dist_eq_add_dist_of_angle_eq_pi hbpd, h₃, hbp, dist_comm a b, h₄, ← sq,
dist_sq_mul_dist_add_dist_sq_mul_dist b, hapc]
|
import Mathlib.Algebra.MvPolynomial.CommRing
import Mathlib.LinearAlgebra.Dimension.StrongRankCondition
import Mathlib.RingTheory.MvPolynomial.Basic
#align_import field_theory.mv_polynomial from "leanprover-community/mathlib"@"039a089d2a4b93c761b234f3e5f5aeb752bac60f"
noncomputable section
open scoped Classical
open Set LinearMap Submodule
namespace MvPolynomial
universe u
variable {σ : Type u} {K : Type u} [Field K]
open scoped Classical
| Mathlib/FieldTheory/MvPolynomial.lean | 54 | 55 | theorem rank_mvPolynomial : Module.rank K (MvPolynomial σ K) = Cardinal.mk (σ →₀ ℕ) := by |
rw [← Cardinal.lift_inj, ← (basisMonomials σ K).mk_eq_rank]
|
import Mathlib.NumberTheory.Padics.PadicIntegers
import Mathlib.RingTheory.ZMod
#align_import number_theory.padics.ring_homs from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950"
noncomputable section
open scoped Classical
open Nat LocalRing Padic
namespace PadicInt
variable {p : ℕ} [hp_prime : Fact p.Prime]
section RingHoms
variable (p) (r : ℚ)
def modPart : ℤ :=
r.num * gcdA r.den p % p
#align padic_int.mod_part PadicInt.modPart
variable {p}
theorem modPart_lt_p : modPart p r < p := by
convert Int.emod_lt _ _
· simp
· exact mod_cast hp_prime.1.ne_zero
#align padic_int.mod_part_lt_p PadicInt.modPart_lt_p
theorem modPart_nonneg : 0 ≤ modPart p r :=
Int.emod_nonneg _ <| mod_cast hp_prime.1.ne_zero
#align padic_int.mod_part_nonneg PadicInt.modPart_nonneg
theorem isUnit_den (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) : IsUnit (r.den : ℤ_[p]) := by
rw [isUnit_iff]
apply le_antisymm (r.den : ℤ_[p]).2
rw [← not_lt, coe_natCast]
intro norm_denom_lt
have hr : ‖(r * r.den : ℚ_[p])‖ = ‖(r.num : ℚ_[p])‖ := by
congr
rw_mod_cast [@Rat.mul_den_eq_num r]
rw [padicNormE.mul] at hr
have key : ‖(r.num : ℚ_[p])‖ < 1 := by
calc
_ = _ := hr.symm
_ < 1 * 1 := mul_lt_mul' h norm_denom_lt (norm_nonneg _) zero_lt_one
_ = 1 := mul_one 1
have : ↑p ∣ r.num ∧ (p : ℤ) ∣ r.den := by
simp only [← norm_int_lt_one_iff_dvd, ← padic_norm_e_of_padicInt]
exact ⟨key, norm_denom_lt⟩
apply hp_prime.1.not_dvd_one
rwa [← r.reduced.gcd_eq_one, Nat.dvd_gcd_iff, ← Int.natCast_dvd, ← Int.natCast_dvd_natCast]
#align padic_int.is_unit_denom PadicInt.isUnit_den
theorem norm_sub_modPart_aux (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) :
↑p ∣ r.num - r.num * r.den.gcdA p % p * ↑r.den := by
rw [← ZMod.intCast_zmod_eq_zero_iff_dvd]
simp only [Int.cast_natCast, ZMod.natCast_mod, Int.cast_mul, Int.cast_sub]
have := congr_arg (fun x => x % p : ℤ → ZMod p) (gcd_eq_gcd_ab r.den p)
simp only [Int.cast_natCast, CharP.cast_eq_zero, EuclideanDomain.mod_zero, Int.cast_add,
Int.cast_mul, zero_mul, add_zero] at this
push_cast
rw [mul_right_comm, mul_assoc, ← this]
suffices rdcp : r.den.Coprime p by
rw [rdcp.gcd_eq_one]
simp only [mul_one, cast_one, sub_self]
apply Coprime.symm
apply (coprime_or_dvd_of_prime hp_prime.1 _).resolve_right
rw [← Int.natCast_dvd_natCast, ← norm_int_lt_one_iff_dvd, not_lt]
apply ge_of_eq
rw [← isUnit_iff]
exact isUnit_den r h
#align padic_int.norm_sub_mod_part_aux PadicInt.norm_sub_modPart_aux
theorem norm_sub_modPart (h : ‖(r : ℚ_[p])‖ ≤ 1) : ‖(⟨r, h⟩ - modPart p r : ℤ_[p])‖ < 1 := by
let n := modPart p r
rw [norm_lt_one_iff_dvd, ← (isUnit_den r h).dvd_mul_right]
suffices ↑p ∣ r.num - n * r.den by
convert (Int.castRingHom ℤ_[p]).map_dvd this
simp only [sub_mul, Int.cast_natCast, eq_intCast, Int.cast_mul, sub_left_inj, Int.cast_sub]
apply Subtype.coe_injective
simp only [coe_mul, Subtype.coe_mk, coe_natCast]
rw_mod_cast [@Rat.mul_den_eq_num r]
rfl
exact norm_sub_modPart_aux r h
#align padic_int.norm_sub_mod_part PadicInt.norm_sub_modPart
theorem exists_mem_range_of_norm_rat_le_one (h : ‖(r : ℚ_[p])‖ ≤ 1) :
∃ n : ℤ, 0 ≤ n ∧ n < p ∧ ‖(⟨r, h⟩ - n : ℤ_[p])‖ < 1 :=
⟨modPart p r, modPart_nonneg _, modPart_lt_p _, norm_sub_modPart _ h⟩
#align padic_int.exists_mem_range_of_norm_rat_le_one PadicInt.exists_mem_range_of_norm_rat_le_one
theorem zmod_congr_of_sub_mem_span_aux (n : ℕ) (x : ℤ_[p]) (a b : ℤ)
(ha : x - a ∈ (Ideal.span {(p : ℤ_[p]) ^ n}))
(hb : x - b ∈ (Ideal.span {(p : ℤ_[p]) ^ n})) : (a : ZMod (p ^ n)) = b := by
rw [Ideal.mem_span_singleton] at ha hb
rw [← sub_eq_zero, ← Int.cast_sub, ZMod.intCast_zmod_eq_zero_iff_dvd, Int.natCast_pow]
rw [← dvd_neg, neg_sub] at ha
have := dvd_add ha hb
rwa [sub_eq_add_neg, sub_eq_add_neg, add_assoc, neg_add_cancel_left, ← sub_eq_add_neg, ←
Int.cast_sub, pow_p_dvd_int_iff] at this
#align padic_int.zmod_congr_of_sub_mem_span_aux PadicInt.zmod_congr_of_sub_mem_span_aux
theorem zmod_congr_of_sub_mem_span (n : ℕ) (x : ℤ_[p]) (a b : ℕ)
(ha : x - a ∈ (Ideal.span {(p : ℤ_[p]) ^ n}))
(hb : x - b ∈ (Ideal.span {(p : ℤ_[p]) ^ n})) : (a : ZMod (p ^ n)) = b := by
simpa using zmod_congr_of_sub_mem_span_aux n x a b ha hb
#align padic_int.zmod_congr_of_sub_mem_span PadicInt.zmod_congr_of_sub_mem_span
theorem zmod_congr_of_sub_mem_max_ideal (x : ℤ_[p]) (m n : ℕ) (hm : x - m ∈ maximalIdeal ℤ_[p])
(hn : x - n ∈ maximalIdeal ℤ_[p]) : (m : ZMod p) = n := by
rw [maximalIdeal_eq_span_p] at hm hn
have := zmod_congr_of_sub_mem_span_aux 1 x m n
simp only [pow_one] at this
specialize this hm hn
apply_fun ZMod.castHom (show p ∣ p ^ 1 by rw [pow_one]) (ZMod p) at this
simp only [map_intCast] at this
simpa only [Int.cast_natCast] using this
#align padic_int.zmod_congr_of_sub_mem_max_ideal PadicInt.zmod_congr_of_sub_mem_max_ideal
variable (x : ℤ_[p])
theorem exists_mem_range : ∃ n : ℕ, n < p ∧ x - n ∈ maximalIdeal ℤ_[p] := by
simp only [maximalIdeal_eq_span_p, Ideal.mem_span_singleton, ← norm_lt_one_iff_dvd]
obtain ⟨r, hr⟩ := rat_dense p (x : ℚ_[p]) zero_lt_one
have H : ‖(r : ℚ_[p])‖ ≤ 1 := by
rw [norm_sub_rev] at hr
calc
_ = ‖(r : ℚ_[p]) - x + x‖ := by ring_nf
_ ≤ _ := padicNormE.nonarchimedean _ _
_ ≤ _ := max_le (le_of_lt hr) x.2
obtain ⟨n, hzn, hnp, hn⟩ := exists_mem_range_of_norm_rat_le_one r H
lift n to ℕ using hzn
use n
constructor
· exact mod_cast hnp
simp only [norm_def, coe_sub, Subtype.coe_mk, coe_natCast] at hn ⊢
rw [show (x - n : ℚ_[p]) = x - r + (r - n) by ring]
apply lt_of_le_of_lt (padicNormE.nonarchimedean _ _)
apply max_lt hr
simpa using hn
#align padic_int.exists_mem_range PadicInt.exists_mem_range
def zmodRepr : ℕ :=
Classical.choose (exists_mem_range x)
#align padic_int.zmod_repr PadicInt.zmodRepr
theorem zmodRepr_spec : zmodRepr x < p ∧ x - zmodRepr x ∈ maximalIdeal ℤ_[p] :=
Classical.choose_spec (exists_mem_range x)
#align padic_int.zmod_repr_spec PadicInt.zmodRepr_spec
theorem zmodRepr_lt_p : zmodRepr x < p :=
(zmodRepr_spec _).1
#align padic_int.zmod_repr_lt_p PadicInt.zmodRepr_lt_p
theorem sub_zmodRepr_mem : x - zmodRepr x ∈ maximalIdeal ℤ_[p] :=
(zmodRepr_spec _).2
#align padic_int.sub_zmod_repr_mem PadicInt.sub_zmodRepr_mem
def toZModHom (v : ℕ) (f : ℤ_[p] → ℕ) (f_spec : ∀ x, x - f x ∈ (Ideal.span {↑v} : Ideal ℤ_[p]))
(f_congr :
∀ (x : ℤ_[p]) (a b : ℕ),
x - a ∈ (Ideal.span {↑v} : Ideal ℤ_[p]) →
x - b ∈ (Ideal.span {↑v} : Ideal ℤ_[p]) → (a : ZMod v) = b) :
ℤ_[p] →+* ZMod v where
toFun x := f x
map_zero' := by
dsimp only
rw [f_congr (0 : ℤ_[p]) _ 0, cast_zero]
· exact f_spec _
· simp only [sub_zero, cast_zero, Submodule.zero_mem]
map_one' := by
dsimp only
rw [f_congr (1 : ℤ_[p]) _ 1, cast_one]
· exact f_spec _
· simp only [sub_self, cast_one, Submodule.zero_mem]
map_add' := by
intro x y
dsimp only
rw [f_congr (x + y) _ (f x + f y), cast_add]
· exact f_spec _
· convert Ideal.add_mem _ (f_spec x) (f_spec y) using 1
rw [cast_add]
ring
map_mul' := by
intro x y
dsimp only
rw [f_congr (x * y) _ (f x * f y), cast_mul]
· exact f_spec _
· let I : Ideal ℤ_[p] := Ideal.span {↑v}
convert I.add_mem (I.mul_mem_left x (f_spec y)) (I.mul_mem_right ↑(f y) (f_spec x)) using 1
rw [cast_mul]
ring
#align padic_int.to_zmod_hom PadicInt.toZModHom
def toZMod : ℤ_[p] →+* ZMod p :=
toZModHom p zmodRepr
(by
rw [← maximalIdeal_eq_span_p]
exact sub_zmodRepr_mem)
(by
rw [← maximalIdeal_eq_span_p]
exact zmod_congr_of_sub_mem_max_ideal)
#align padic_int.to_zmod PadicInt.toZMod
theorem toZMod_spec : x - (ZMod.cast (toZMod x) : ℤ_[p]) ∈ maximalIdeal ℤ_[p] := by
convert sub_zmodRepr_mem x using 2
dsimp [toZMod, toZModHom]
rcases Nat.exists_eq_add_of_lt hp_prime.1.pos with ⟨p', rfl⟩
change ↑((_ : ZMod (0 + p' + 1)).val) = (_ : ℤ_[0 + p' + 1])
simp only [ZMod.val_natCast, add_zero, add_def, Nat.cast_inj, zero_add]
apply mod_eq_of_lt
simpa only [zero_add] using zmodRepr_lt_p x
#align padic_int.to_zmod_spec PadicInt.toZMod_spec
theorem ker_toZMod : RingHom.ker (toZMod : ℤ_[p] →+* ZMod p) = maximalIdeal ℤ_[p] := by
ext x
rw [RingHom.mem_ker]
constructor
· intro h
simpa only [h, ZMod.cast_zero, sub_zero] using toZMod_spec x
· intro h
rw [← sub_zero x] at h
dsimp [toZMod, toZModHom]
convert zmod_congr_of_sub_mem_max_ideal x _ 0 _ h
· norm_cast
· apply sub_zmodRepr_mem
#align padic_int.ker_to_zmod PadicInt.ker_toZMod
-- Porting note: removing irreducible solves a lot of problems
noncomputable def appr : ℤ_[p] → ℕ → ℕ
| _x, 0 => 0
| x, n + 1 =>
let y := x - appr x n
if hy : y = 0 then appr x n
else
let u := (unitCoeff hy : ℤ_[p])
appr x n + p ^ n * (toZMod ((u * (p : ℤ_[p]) ^ (y.valuation - n).natAbs) : ℤ_[p])).val
#align padic_int.appr PadicInt.appr
theorem appr_lt (x : ℤ_[p]) (n : ℕ) : x.appr n < p ^ n := by
induction' n with n ih generalizing x
· simp only [appr, zero_eq, _root_.pow_zero, zero_lt_one]
simp only [appr, map_natCast, ZMod.natCast_self, RingHom.map_pow, Int.natAbs, RingHom.map_mul]
have hp : p ^ n < p ^ (n + 1) := by apply pow_lt_pow_right hp_prime.1.one_lt (lt_add_one n)
split_ifs with h
· apply lt_trans (ih _) hp
· calc
_ < p ^ n + p ^ n * (p - 1) := ?_
_ = p ^ (n + 1) := ?_
· apply add_lt_add_of_lt_of_le (ih _)
apply Nat.mul_le_mul_left
apply le_pred_of_lt
apply ZMod.val_lt
· rw [mul_tsub, mul_one, ← _root_.pow_succ]
apply add_tsub_cancel_of_le (le_of_lt hp)
#align padic_int.appr_lt PadicInt.appr_lt
theorem appr_mono (x : ℤ_[p]) : Monotone x.appr := by
apply monotone_nat_of_le_succ
intro n
dsimp [appr]
split_ifs; · rfl
apply Nat.le_add_right
#align padic_int.appr_mono PadicInt.appr_mono
theorem dvd_appr_sub_appr (x : ℤ_[p]) (m n : ℕ) (h : m ≤ n) : p ^ m ∣ x.appr n - x.appr m := by
obtain ⟨k, rfl⟩ := Nat.exists_eq_add_of_le h; clear h
induction' k with k ih
· simp only [zero_eq, add_zero, le_refl, tsub_eq_zero_of_le, ne_eq, Nat.isUnit_iff, dvd_zero]
rw [← add_assoc]
dsimp [appr]
split_ifs with h
· exact ih
rw [add_comm, add_tsub_assoc_of_le (appr_mono _ (Nat.le_add_right m k))]
apply dvd_add _ ih
apply dvd_mul_of_dvd_left
apply pow_dvd_pow _ (Nat.le_add_right m k)
#align padic_int.dvd_appr_sub_appr PadicInt.dvd_appr_sub_appr
theorem appr_spec (n : ℕ) : ∀ x : ℤ_[p], x - appr x n ∈ Ideal.span {(p : ℤ_[p]) ^ n} := by
simp only [Ideal.mem_span_singleton]
induction' n with n ih
· simp only [zero_eq, _root_.pow_zero, isUnit_one, IsUnit.dvd, forall_const]
intro x
dsimp only [appr]
split_ifs with h
· rw [h]
apply dvd_zero
push_cast
rw [sub_add_eq_sub_sub]
obtain ⟨c, hc⟩ := ih x
simp only [map_natCast, ZMod.natCast_self, RingHom.map_pow, RingHom.map_mul, ZMod.natCast_val]
have hc' : c ≠ 0 := by
rintro rfl
simp only [mul_zero] at hc
contradiction
conv_rhs =>
congr
simp only [hc]
rw [show (x - (appr x n : ℤ_[p])).valuation = ((p : ℤ_[p]) ^ n * c).valuation by rw [hc]]
rw [valuation_p_pow_mul _ _ hc', add_sub_cancel_left, _root_.pow_succ, ← mul_sub]
apply mul_dvd_mul_left
obtain hc0 | hc0 := eq_or_ne c.valuation.natAbs 0
· simp only [hc0, mul_one, _root_.pow_zero]
rw [mul_comm, unitCoeff_spec h] at hc
suffices c = unitCoeff h by
rw [← this, ← Ideal.mem_span_singleton, ← maximalIdeal_eq_span_p]
apply toZMod_spec
obtain ⟨c, rfl⟩ : IsUnit c := by
-- TODO: write a `CanLift` instance for units
rw [Int.natAbs_eq_zero] at hc0
rw [isUnit_iff, norm_eq_pow_val hc', hc0, neg_zero, zpow_zero]
rw [DiscreteValuationRing.unit_mul_pow_congr_unit _ _ _ _ _ hc]
exact irreducible_p
· simp only [zero_pow hc0, sub_zero, ZMod.cast_zero, mul_zero]
rw [unitCoeff_spec hc']
exact (dvd_pow_self (p : ℤ_[p]) hc0).mul_left _
#align padic_int.appr_spec PadicInt.appr_spec
def toZModPow (n : ℕ) : ℤ_[p] →+* ZMod (p ^ n) :=
toZModHom (p ^ n) (fun x => appr x n)
(by
intros
rw [Nat.cast_pow]
exact appr_spec n _)
(by
intro x a b ha hb
apply zmod_congr_of_sub_mem_span n x a b
· simpa using ha
· simpa using hb)
#align padic_int.to_zmod_pow PadicInt.toZModPow
theorem ker_toZModPow (n : ℕ) :
RingHom.ker (toZModPow n : ℤ_[p] →+* ZMod (p ^ n)) = Ideal.span {(p : ℤ_[p]) ^ n} := by
ext x
rw [RingHom.mem_ker]
constructor
· intro h
suffices x.appr n = 0 by
convert appr_spec n x
simp only [this, sub_zero, cast_zero]
dsimp [toZModPow, toZModHom] at h
rw [ZMod.natCast_zmod_eq_zero_iff_dvd] at h
apply eq_zero_of_dvd_of_lt h (appr_lt _ _)
· intro h
rw [← sub_zero x] at h
dsimp [toZModPow, toZModHom]
rw [zmod_congr_of_sub_mem_span n x _ 0 _ h, cast_zero]
apply appr_spec
#align padic_int.ker_to_zmod_pow PadicInt.ker_toZModPow
-- @[simp] -- Porting note: not in simpNF
| Mathlib/NumberTheory/Padics/RingHoms.lean | 425 | 440 | theorem zmod_cast_comp_toZModPow (m n : ℕ) (h : m ≤ n) :
(ZMod.castHom (pow_dvd_pow p h) (ZMod (p ^ m))).comp (@toZModPow p _ n) = @toZModPow p _ m := by |
apply ZMod.ringHom_eq_of_ker_eq
ext x
rw [RingHom.mem_ker, RingHom.mem_ker]
simp only [Function.comp_apply, ZMod.castHom_apply, RingHom.coe_comp]
simp only [toZModPow, toZModHom, RingHom.coe_mk]
dsimp
rw [ZMod.cast_natCast (pow_dvd_pow p h),
zmod_congr_of_sub_mem_span m (x.appr n) (x.appr n) (x.appr m)]
· rw [sub_self]
apply Ideal.zero_mem _
· rw [Ideal.mem_span_singleton]
rcases dvd_appr_sub_appr x m n h with ⟨c, hc⟩
use c
rw [← Nat.cast_sub (appr_mono _ h), hc, Nat.cast_mul, Nat.cast_pow]
|
import Mathlib.Topology.Constructions
import Mathlib.Topology.ContinuousOn
#align_import topology.bases from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4"
open Set Filter Function Topology
noncomputable section
namespace TopologicalSpace
universe u
variable {α : Type u} {β : Type*} [t : TopologicalSpace α] {B : Set (Set α)} {s : Set α}
structure IsTopologicalBasis (s : Set (Set α)) : Prop where
exists_subset_inter : ∀ t₁ ∈ s, ∀ t₂ ∈ s, ∀ x ∈ t₁ ∩ t₂, ∃ t₃ ∈ s, x ∈ t₃ ∧ t₃ ⊆ t₁ ∩ t₂
sUnion_eq : ⋃₀ s = univ
eq_generateFrom : t = generateFrom s
#align topological_space.is_topological_basis TopologicalSpace.IsTopologicalBasis
theorem IsTopologicalBasis.insert_empty {s : Set (Set α)} (h : IsTopologicalBasis s) :
IsTopologicalBasis (insert ∅ s) := by
refine ⟨?_, by rw [sUnion_insert, empty_union, h.sUnion_eq], ?_⟩
· rintro t₁ (rfl | h₁) t₂ (rfl | h₂) x ⟨hx₁, hx₂⟩
· cases hx₁
· cases hx₁
· cases hx₂
· obtain ⟨t₃, h₃, hs⟩ := h.exists_subset_inter _ h₁ _ h₂ x ⟨hx₁, hx₂⟩
exact ⟨t₃, .inr h₃, hs⟩
· rw [h.eq_generateFrom]
refine le_antisymm (le_generateFrom fun t => ?_) (generateFrom_anti <| subset_insert ∅ s)
rintro (rfl | ht)
· exact @isOpen_empty _ (generateFrom s)
· exact .basic t ht
#align topological_space.is_topological_basis.insert_empty TopologicalSpace.IsTopologicalBasis.insert_empty
theorem IsTopologicalBasis.diff_empty {s : Set (Set α)} (h : IsTopologicalBasis s) :
IsTopologicalBasis (s \ {∅}) := by
refine ⟨?_, by rw [sUnion_diff_singleton_empty, h.sUnion_eq], ?_⟩
· rintro t₁ ⟨h₁, -⟩ t₂ ⟨h₂, -⟩ x hx
obtain ⟨t₃, h₃, hs⟩ := h.exists_subset_inter _ h₁ _ h₂ x hx
exact ⟨t₃, ⟨h₃, Nonempty.ne_empty ⟨x, hs.1⟩⟩, hs⟩
· rw [h.eq_generateFrom]
refine le_antisymm (generateFrom_anti diff_subset) (le_generateFrom fun t ht => ?_)
obtain rfl | he := eq_or_ne t ∅
· exact @isOpen_empty _ (generateFrom _)
· exact .basic t ⟨ht, he⟩
#align topological_space.is_topological_basis.diff_empty TopologicalSpace.IsTopologicalBasis.diff_empty
theorem isTopologicalBasis_of_subbasis {s : Set (Set α)} (hs : t = generateFrom s) :
IsTopologicalBasis ((fun f => ⋂₀ f) '' { f : Set (Set α) | f.Finite ∧ f ⊆ s }) := by
subst t; letI := generateFrom s
refine ⟨?_, ?_, le_antisymm (le_generateFrom ?_) <| generateFrom_anti fun t ht => ?_⟩
· rintro _ ⟨t₁, ⟨hft₁, ht₁b⟩, rfl⟩ _ ⟨t₂, ⟨hft₂, ht₂b⟩, rfl⟩ x h
exact ⟨_, ⟨_, ⟨hft₁.union hft₂, union_subset ht₁b ht₂b⟩, sInter_union t₁ t₂⟩, h, Subset.rfl⟩
· rw [sUnion_image, iUnion₂_eq_univ_iff]
exact fun x => ⟨∅, ⟨finite_empty, empty_subset _⟩, sInter_empty.substr <| mem_univ x⟩
· rintro _ ⟨t, ⟨hft, htb⟩, rfl⟩
exact hft.isOpen_sInter fun s hs ↦ GenerateOpen.basic _ <| htb hs
· rw [← sInter_singleton t]
exact ⟨{t}, ⟨finite_singleton t, singleton_subset_iff.2 ht⟩, rfl⟩
#align topological_space.is_topological_basis_of_subbasis TopologicalSpace.isTopologicalBasis_of_subbasis
theorem IsTopologicalBasis.of_hasBasis_nhds {s : Set (Set α)}
(h_nhds : ∀ a, (𝓝 a).HasBasis (fun t ↦ t ∈ s ∧ a ∈ t) id) : IsTopologicalBasis s where
exists_subset_inter t₁ ht₁ t₂ ht₂ x hx := by
simpa only [and_assoc, (h_nhds x).mem_iff]
using (inter_mem ((h_nhds _).mem_of_mem ⟨ht₁, hx.1⟩) ((h_nhds _).mem_of_mem ⟨ht₂, hx.2⟩))
sUnion_eq := sUnion_eq_univ_iff.2 fun x ↦ (h_nhds x).ex_mem
eq_generateFrom := ext_nhds fun x ↦ by
simpa only [nhds_generateFrom, and_comm] using (h_nhds x).eq_biInf
theorem isTopologicalBasis_of_isOpen_of_nhds {s : Set (Set α)} (h_open : ∀ u ∈ s, IsOpen u)
(h_nhds : ∀ (a : α) (u : Set α), a ∈ u → IsOpen u → ∃ v ∈ s, a ∈ v ∧ v ⊆ u) :
IsTopologicalBasis s :=
.of_hasBasis_nhds <| fun a ↦
(nhds_basis_opens a).to_hasBasis' (by simpa [and_assoc] using h_nhds a)
fun t ⟨hts, hat⟩ ↦ (h_open _ hts).mem_nhds hat
#align topological_space.is_topological_basis_of_open_of_nhds TopologicalSpace.isTopologicalBasis_of_isOpen_of_nhds
theorem IsTopologicalBasis.mem_nhds_iff {a : α} {s : Set α} {b : Set (Set α)}
(hb : IsTopologicalBasis b) : s ∈ 𝓝 a ↔ ∃ t ∈ b, a ∈ t ∧ t ⊆ s := by
change s ∈ (𝓝 a).sets ↔ ∃ t ∈ b, a ∈ t ∧ t ⊆ s
rw [hb.eq_generateFrom, nhds_generateFrom, biInf_sets_eq]
· simp [and_assoc, and_left_comm]
· rintro s ⟨hs₁, hs₂⟩ t ⟨ht₁, ht₂⟩
let ⟨u, hu₁, hu₂, hu₃⟩ := hb.1 _ hs₂ _ ht₂ _ ⟨hs₁, ht₁⟩
exact ⟨u, ⟨hu₂, hu₁⟩, le_principal_iff.2 (hu₃.trans inter_subset_left),
le_principal_iff.2 (hu₃.trans inter_subset_right)⟩
· rcases eq_univ_iff_forall.1 hb.sUnion_eq a with ⟨i, h1, h2⟩
exact ⟨i, h2, h1⟩
#align topological_space.is_topological_basis.mem_nhds_iff TopologicalSpace.IsTopologicalBasis.mem_nhds_iff
theorem IsTopologicalBasis.isOpen_iff {s : Set α} {b : Set (Set α)} (hb : IsTopologicalBasis b) :
IsOpen s ↔ ∀ a ∈ s, ∃ t ∈ b, a ∈ t ∧ t ⊆ s := by simp [isOpen_iff_mem_nhds, hb.mem_nhds_iff]
#align topological_space.is_topological_basis.is_open_iff TopologicalSpace.IsTopologicalBasis.isOpen_iff
theorem IsTopologicalBasis.nhds_hasBasis {b : Set (Set α)} (hb : IsTopologicalBasis b) {a : α} :
(𝓝 a).HasBasis (fun t : Set α => t ∈ b ∧ a ∈ t) fun t => t :=
⟨fun s => hb.mem_nhds_iff.trans <| by simp only [and_assoc]⟩
#align topological_space.is_topological_basis.nhds_has_basis TopologicalSpace.IsTopologicalBasis.nhds_hasBasis
protected theorem IsTopologicalBasis.isOpen {s : Set α} {b : Set (Set α)}
(hb : IsTopologicalBasis b) (hs : s ∈ b) : IsOpen s := by
rw [hb.eq_generateFrom]
exact .basic s hs
#align topological_space.is_topological_basis.is_open TopologicalSpace.IsTopologicalBasis.isOpen
protected theorem IsTopologicalBasis.mem_nhds {a : α} {s : Set α} {b : Set (Set α)}
(hb : IsTopologicalBasis b) (hs : s ∈ b) (ha : a ∈ s) : s ∈ 𝓝 a :=
(hb.isOpen hs).mem_nhds ha
#align topological_space.is_topological_basis.mem_nhds TopologicalSpace.IsTopologicalBasis.mem_nhds
theorem IsTopologicalBasis.exists_subset_of_mem_open {b : Set (Set α)} (hb : IsTopologicalBasis b)
{a : α} {u : Set α} (au : a ∈ u) (ou : IsOpen u) : ∃ v ∈ b, a ∈ v ∧ v ⊆ u :=
hb.mem_nhds_iff.1 <| IsOpen.mem_nhds ou au
#align topological_space.is_topological_basis.exists_subset_of_mem_open TopologicalSpace.IsTopologicalBasis.exists_subset_of_mem_open
theorem IsTopologicalBasis.open_eq_sUnion' {B : Set (Set α)} (hB : IsTopologicalBasis B) {u : Set α}
(ou : IsOpen u) : u = ⋃₀ { s ∈ B | s ⊆ u } :=
ext fun _a =>
⟨fun ha =>
let ⟨b, hb, ab, bu⟩ := hB.exists_subset_of_mem_open ha ou
⟨b, ⟨hb, bu⟩, ab⟩,
fun ⟨_b, ⟨_, bu⟩, ab⟩ => bu ab⟩
#align topological_space.is_topological_basis.open_eq_sUnion' TopologicalSpace.IsTopologicalBasis.open_eq_sUnion'
theorem IsTopologicalBasis.open_eq_sUnion {B : Set (Set α)} (hB : IsTopologicalBasis B) {u : Set α}
(ou : IsOpen u) : ∃ S ⊆ B, u = ⋃₀ S :=
⟨{ s ∈ B | s ⊆ u }, fun _ h => h.1, hB.open_eq_sUnion' ou⟩
#align topological_space.is_topological_basis.open_eq_sUnion TopologicalSpace.IsTopologicalBasis.open_eq_sUnion
theorem IsTopologicalBasis.open_iff_eq_sUnion {B : Set (Set α)} (hB : IsTopologicalBasis B)
{u : Set α} : IsOpen u ↔ ∃ S ⊆ B, u = ⋃₀ S :=
⟨hB.open_eq_sUnion, fun ⟨_S, hSB, hu⟩ => hu.symm ▸ isOpen_sUnion fun _s hs => hB.isOpen (hSB hs)⟩
#align topological_space.is_topological_basis.open_iff_eq_sUnion TopologicalSpace.IsTopologicalBasis.open_iff_eq_sUnion
theorem IsTopologicalBasis.open_eq_iUnion {B : Set (Set α)} (hB : IsTopologicalBasis B) {u : Set α}
(ou : IsOpen u) : ∃ (β : Type u) (f : β → Set α), (u = ⋃ i, f i) ∧ ∀ i, f i ∈ B :=
⟨↥({ s ∈ B | s ⊆ u }), (↑), by
rw [← sUnion_eq_iUnion]
apply hB.open_eq_sUnion' ou, fun s => And.left s.2⟩
#align topological_space.is_topological_basis.open_eq_Union TopologicalSpace.IsTopologicalBasis.open_eq_iUnion
lemma IsTopologicalBasis.subset_of_forall_subset {t : Set α} (hB : IsTopologicalBasis B)
(hs : IsOpen s) (h : ∀ U ∈ B, U ⊆ s → U ⊆ t) : s ⊆ t := by
rw [hB.open_eq_sUnion' hs]; simpa [sUnion_subset_iff]
lemma IsTopologicalBasis.eq_of_forall_subset_iff {t : Set α} (hB : IsTopologicalBasis B)
(hs : IsOpen s) (ht : IsOpen t) (h : ∀ U ∈ B, U ⊆ s ↔ U ⊆ t) : s = t := by
rw [hB.open_eq_sUnion' hs, hB.open_eq_sUnion' ht]
exact congr_arg _ (Set.ext fun U ↦ and_congr_right <| h _)
theorem IsTopologicalBasis.mem_closure_iff {b : Set (Set α)} (hb : IsTopologicalBasis b) {s : Set α}
{a : α} : a ∈ closure s ↔ ∀ o ∈ b, a ∈ o → (o ∩ s).Nonempty :=
(mem_closure_iff_nhds_basis' hb.nhds_hasBasis).trans <| by simp only [and_imp]
#align topological_space.is_topological_basis.mem_closure_iff TopologicalSpace.IsTopologicalBasis.mem_closure_iff
theorem IsTopologicalBasis.dense_iff {b : Set (Set α)} (hb : IsTopologicalBasis b) {s : Set α} :
Dense s ↔ ∀ o ∈ b, Set.Nonempty o → (o ∩ s).Nonempty := by
simp only [Dense, hb.mem_closure_iff]
exact ⟨fun h o hb ⟨a, ha⟩ => h a o hb ha, fun h a o hb ha => h o hb ⟨a, ha⟩⟩
#align topological_space.is_topological_basis.dense_iff TopologicalSpace.IsTopologicalBasis.dense_iff
theorem IsTopologicalBasis.isOpenMap_iff {β} [TopologicalSpace β] {B : Set (Set α)}
(hB : IsTopologicalBasis B) {f : α → β} : IsOpenMap f ↔ ∀ s ∈ B, IsOpen (f '' s) := by
refine ⟨fun H o ho => H _ (hB.isOpen ho), fun hf o ho => ?_⟩
rw [hB.open_eq_sUnion' ho, sUnion_eq_iUnion, image_iUnion]
exact isOpen_iUnion fun s => hf s s.2.1
#align topological_space.is_topological_basis.is_open_map_iff TopologicalSpace.IsTopologicalBasis.isOpenMap_iff
theorem IsTopologicalBasis.exists_nonempty_subset {B : Set (Set α)} (hb : IsTopologicalBasis B)
{u : Set α} (hu : u.Nonempty) (ou : IsOpen u) : ∃ v ∈ B, Set.Nonempty v ∧ v ⊆ u :=
let ⟨x, hx⟩ := hu
let ⟨v, vB, xv, vu⟩ := hb.exists_subset_of_mem_open hx ou
⟨v, vB, ⟨x, xv⟩, vu⟩
#align topological_space.is_topological_basis.exists_nonempty_subset TopologicalSpace.IsTopologicalBasis.exists_nonempty_subset
theorem isTopologicalBasis_opens : IsTopologicalBasis { U : Set α | IsOpen U } :=
isTopologicalBasis_of_isOpen_of_nhds (by tauto) (by tauto)
#align topological_space.is_topological_basis_opens TopologicalSpace.isTopologicalBasis_opens
protected theorem IsTopologicalBasis.inducing {β} [TopologicalSpace β] {f : α → β} {T : Set (Set β)}
(hf : Inducing f) (h : IsTopologicalBasis T) : IsTopologicalBasis ((preimage f) '' T) :=
.of_hasBasis_nhds fun a ↦ by
convert (hf.basis_nhds (h.nhds_hasBasis (a := f a))).to_image_id with s
aesop
#align topological_space.is_topological_basis.inducing TopologicalSpace.IsTopologicalBasis.inducing
protected theorem IsTopologicalBasis.induced [s : TopologicalSpace β] (f : α → β)
{T : Set (Set β)} (h : IsTopologicalBasis T) :
IsTopologicalBasis (t := induced f s) ((preimage f) '' T) :=
h.inducing (t := induced f s) (inducing_induced f)
protected theorem IsTopologicalBasis.inf {t₁ t₂ : TopologicalSpace β} {B₁ B₂ : Set (Set β)}
(h₁ : IsTopologicalBasis (t := t₁) B₁) (h₂ : IsTopologicalBasis (t := t₂) B₂) :
IsTopologicalBasis (t := t₁ ⊓ t₂) (image2 (· ∩ ·) B₁ B₂) := by
refine .of_hasBasis_nhds (t := ?_) fun a ↦ ?_
rw [nhds_inf (t₁ := t₁)]
convert ((h₁.nhds_hasBasis (t := t₁)).inf (h₂.nhds_hasBasis (t := t₂))).to_image_id
aesop
theorem IsTopologicalBasis.inf_induced {γ} [s : TopologicalSpace β] {B₁ : Set (Set α)}
{B₂ : Set (Set β)} (h₁ : IsTopologicalBasis B₁) (h₂ : IsTopologicalBasis B₂) (f₁ : γ → α)
(f₂ : γ → β) :
IsTopologicalBasis (t := induced f₁ t ⊓ induced f₂ s) (image2 (f₁ ⁻¹' · ∩ f₂ ⁻¹' ·) B₁ B₂) := by
simpa only [image2_image_left, image2_image_right] using (h₁.induced f₁).inf (h₂.induced f₂)
protected theorem IsTopologicalBasis.prod {β} [TopologicalSpace β] {B₁ : Set (Set α)}
{B₂ : Set (Set β)} (h₁ : IsTopologicalBasis B₁) (h₂ : IsTopologicalBasis B₂) :
IsTopologicalBasis (image2 (· ×ˢ ·) B₁ B₂) :=
h₁.inf_induced h₂ Prod.fst Prod.snd
#align topological_space.is_topological_basis.prod TopologicalSpace.IsTopologicalBasis.prod
theorem isTopologicalBasis_of_cover {ι} {U : ι → Set α} (Uo : ∀ i, IsOpen (U i))
(Uc : ⋃ i, U i = univ) {b : ∀ i, Set (Set (U i))} (hb : ∀ i, IsTopologicalBasis (b i)) :
IsTopologicalBasis (⋃ i : ι, image ((↑) : U i → α) '' b i) := by
refine isTopologicalBasis_of_isOpen_of_nhds (fun u hu => ?_) ?_
· simp only [mem_iUnion, mem_image] at hu
rcases hu with ⟨i, s, sb, rfl⟩
exact (Uo i).isOpenMap_subtype_val _ ((hb i).isOpen sb)
· intro a u ha uo
rcases iUnion_eq_univ_iff.1 Uc a with ⟨i, hi⟩
lift a to ↥(U i) using hi
rcases (hb i).exists_subset_of_mem_open ha (uo.preimage continuous_subtype_val) with
⟨v, hvb, hav, hvu⟩
exact ⟨(↑) '' v, mem_iUnion.2 ⟨i, mem_image_of_mem _ hvb⟩, mem_image_of_mem _ hav,
image_subset_iff.2 hvu⟩
#align topological_space.is_topological_basis_of_cover TopologicalSpace.isTopologicalBasis_of_cover
protected theorem IsTopologicalBasis.continuous_iff {β : Type*} [TopologicalSpace β]
{B : Set (Set β)} (hB : IsTopologicalBasis B) {f : α → β} :
Continuous f ↔ ∀ s ∈ B, IsOpen (f ⁻¹' s) := by
rw [hB.eq_generateFrom, continuous_generateFrom_iff]
@[deprecated]
protected theorem IsTopologicalBasis.continuous {β : Type*} [TopologicalSpace β] {B : Set (Set β)}
(hB : IsTopologicalBasis B) (f : α → β) (hf : ∀ s ∈ B, IsOpen (f ⁻¹' s)) : Continuous f :=
hB.continuous_iff.2 hf
#align topological_space.is_topological_basis.continuous TopologicalSpace.IsTopologicalBasis.continuous
variable (α)
@[mk_iff] class SeparableSpace : Prop where
exists_countable_dense : ∃ s : Set α, s.Countable ∧ Dense s
#align topological_space.separable_space TopologicalSpace.SeparableSpace
theorem exists_countable_dense [SeparableSpace α] : ∃ s : Set α, s.Countable ∧ Dense s :=
SeparableSpace.exists_countable_dense
#align topological_space.exists_countable_dense TopologicalSpace.exists_countable_dense
theorem exists_dense_seq [SeparableSpace α] [Nonempty α] : ∃ u : ℕ → α, DenseRange u := by
obtain ⟨s : Set α, hs, s_dense⟩ := exists_countable_dense α
cases' Set.countable_iff_exists_subset_range.mp hs with u hu
exact ⟨u, s_dense.mono hu⟩
#align topological_space.exists_dense_seq TopologicalSpace.exists_dense_seq
def denseSeq [SeparableSpace α] [Nonempty α] : ℕ → α :=
Classical.choose (exists_dense_seq α)
#align topological_space.dense_seq TopologicalSpace.denseSeq
@[simp]
theorem denseRange_denseSeq [SeparableSpace α] [Nonempty α] : DenseRange (denseSeq α) :=
Classical.choose_spec (exists_dense_seq α)
#align topological_space.dense_range_dense_seq TopologicalSpace.denseRange_denseSeq
variable {α}
instance (priority := 100) Countable.to_separableSpace [Countable α] : SeparableSpace α where
exists_countable_dense := ⟨Set.univ, Set.countable_univ, dense_univ⟩
#align topological_space.countable.to_separable_space TopologicalSpace.Countable.to_separableSpace
theorem SeparableSpace.of_denseRange {ι : Sort _} [Countable ι] (u : ι → α) (hu : DenseRange u) :
SeparableSpace α :=
⟨⟨range u, countable_range u, hu⟩⟩
#align topological_space.separable_space_of_dense_range TopologicalSpace.SeparableSpace.of_denseRange
alias _root_.DenseRange.separableSpace' := SeparableSpace.of_denseRange
protected theorem _root_.DenseRange.separableSpace [SeparableSpace α] [TopologicalSpace β]
{f : α → β} (h : DenseRange f) (h' : Continuous f) : SeparableSpace β :=
let ⟨s, s_cnt, s_dense⟩ := exists_countable_dense α
⟨⟨f '' s, Countable.image s_cnt f, h.dense_image h' s_dense⟩⟩
#align dense_range.separable_space DenseRange.separableSpace
theorem _root_.QuotientMap.separableSpace [SeparableSpace α] [TopologicalSpace β] {f : α → β}
(hf : QuotientMap f) : SeparableSpace β :=
hf.surjective.denseRange.separableSpace hf.continuous
instance [TopologicalSpace β] [SeparableSpace α] [SeparableSpace β] : SeparableSpace (α × β) := by
rcases exists_countable_dense α with ⟨s, hsc, hsd⟩
rcases exists_countable_dense β with ⟨t, htc, htd⟩
exact ⟨⟨s ×ˢ t, hsc.prod htc, hsd.prod htd⟩⟩
instance {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)] [∀ i, SeparableSpace (X i)]
[Countable ι] : SeparableSpace (∀ i, X i) := by
choose t htc htd using (exists_countable_dense <| X ·)
haveI := fun i ↦ (htc i).to_subtype
nontriviality ∀ i, X i; inhabit ∀ i, X i
classical
set f : (Σ I : Finset ι, ∀ i : I, t i) → ∀ i, X i := fun ⟨I, g⟩ i ↦
if hi : i ∈ I then g ⟨i, hi⟩ else (default : ∀ i, X i) i
refine ⟨⟨range f, countable_range f, dense_iff_inter_open.2 fun U hU ⟨g, hg⟩ ↦ ?_⟩⟩
rcases isOpen_pi_iff.1 hU g hg with ⟨I, u, huo, huU⟩
have : ∀ i : I, ∃ y ∈ t i, y ∈ u i := fun i ↦
(htd i).exists_mem_open (huo i i.2).1 ⟨_, (huo i i.2).2⟩
choose y hyt hyu using this
lift y to ∀ i : I, t i using hyt
refine ⟨f ⟨I, y⟩, huU fun i (hi : i ∈ I) ↦ ?_, mem_range_self _⟩
simp only [f, dif_pos hi]
exact hyu _
instance [SeparableSpace α] {r : α → α → Prop} : SeparableSpace (Quot r) :=
quotientMap_quot_mk.separableSpace
instance [SeparableSpace α] {s : Setoid α} : SeparableSpace (Quotient s) :=
quotientMap_quot_mk.separableSpace
theorem separableSpace_iff_countable [DiscreteTopology α] : SeparableSpace α ↔ Countable α := by
simp [separableSpace_iff, countable_univ_iff]
theorem _root_.Pairwise.countable_of_isOpen_disjoint [SeparableSpace α] {ι : Type*}
{s : ι → Set α} (hd : Pairwise (Disjoint on s)) (ho : ∀ i, IsOpen (s i))
(hne : ∀ i, (s i).Nonempty) : Countable ι := by
rcases exists_countable_dense α with ⟨u, u_countable, u_dense⟩
choose f hfu hfs using fun i ↦ u_dense.exists_mem_open (ho i) (hne i)
have f_inj : Injective f := fun i j hij ↦
hd.eq <| not_disjoint_iff.2 ⟨f i, hfs i, hij.symm ▸ hfs j⟩
have := u_countable.to_subtype
exact (f_inj.codRestrict hfu).countable
theorem _root_.Set.PairwiseDisjoint.countable_of_isOpen [SeparableSpace α] {ι : Type*}
{s : ι → Set α} {a : Set ι} (h : a.PairwiseDisjoint s) (ho : ∀ i ∈ a, IsOpen (s i))
(hne : ∀ i ∈ a, (s i).Nonempty) : a.Countable :=
(h.subtype _ _).countable_of_isOpen_disjoint (Subtype.forall.2 ho) (Subtype.forall.2 hne)
#align set.pairwise_disjoint.countable_of_is_open Set.PairwiseDisjoint.countable_of_isOpen
theorem _root_.Set.PairwiseDisjoint.countable_of_nonempty_interior [SeparableSpace α] {ι : Type*}
{s : ι → Set α} {a : Set ι} (h : a.PairwiseDisjoint s)
(ha : ∀ i ∈ a, (interior (s i)).Nonempty) : a.Countable :=
(h.mono fun _ => interior_subset).countable_of_isOpen (fun _ _ => isOpen_interior) ha
#align set.pairwise_disjoint.countable_of_nonempty_interior Set.PairwiseDisjoint.countable_of_nonempty_interior
def IsSeparable (s : Set α) :=
∃ c : Set α, c.Countable ∧ s ⊆ closure c
#align topological_space.is_separable TopologicalSpace.IsSeparable
theorem IsSeparable.mono {s u : Set α} (hs : IsSeparable s) (hu : u ⊆ s) : IsSeparable u := by
rcases hs with ⟨c, c_count, hs⟩
exact ⟨c, c_count, hu.trans hs⟩
#align topological_space.is_separable.mono TopologicalSpace.IsSeparable.mono
theorem IsSeparable.iUnion {ι : Sort*} [Countable ι] {s : ι → Set α}
(hs : ∀ i, IsSeparable (s i)) : IsSeparable (⋃ i, s i) := by
choose c hc h'c using hs
refine ⟨⋃ i, c i, countable_iUnion hc, iUnion_subset_iff.2 fun i => ?_⟩
exact (h'c i).trans (closure_mono (subset_iUnion _ i))
#align topological_space.is_separable_Union TopologicalSpace.IsSeparable.iUnion
@[simp]
theorem isSeparable_iUnion {ι : Sort*} [Countable ι] {s : ι → Set α} :
IsSeparable (⋃ i, s i) ↔ ∀ i, IsSeparable (s i) :=
⟨fun h i ↦ h.mono <| subset_iUnion s i, .iUnion⟩
@[simp]
theorem isSeparable_union {s t : Set α} : IsSeparable (s ∪ t) ↔ IsSeparable s ∧ IsSeparable t := by
simp [union_eq_iUnion, and_comm]
theorem IsSeparable.union {s u : Set α} (hs : IsSeparable s) (hu : IsSeparable u) :
IsSeparable (s ∪ u) :=
isSeparable_union.2 ⟨hs, hu⟩
#align topological_space.is_separable.union TopologicalSpace.IsSeparable.union
@[simp]
theorem isSeparable_closure : IsSeparable (closure s) ↔ IsSeparable s := by
simp only [IsSeparable, isClosed_closure.closure_subset_iff]
protected alias ⟨_, IsSeparable.closure⟩ := isSeparable_closure
#align topological_space.is_separable.closure TopologicalSpace.IsSeparable.closure
theorem _root_.Set.Countable.isSeparable {s : Set α} (hs : s.Countable) : IsSeparable s :=
⟨s, hs, subset_closure⟩
#align set.countable.is_separable Set.Countable.isSeparable
theorem _root_.Set.Finite.isSeparable {s : Set α} (hs : s.Finite) : IsSeparable s :=
hs.countable.isSeparable
#align set.finite.is_separable Set.Finite.isSeparable
| Mathlib/Topology/Bases.lean | 495 | 515 | theorem IsSeparable.univ_pi {ι : Type*} [Countable ι] {X : ι → Type*} {s : ∀ i, Set (X i)}
[∀ i, TopologicalSpace (X i)] (h : ∀ i, IsSeparable (s i)) :
IsSeparable (univ.pi s) := by |
classical
rcases eq_empty_or_nonempty (univ.pi s) with he | ⟨f₀, -⟩
· rw [he]
exact countable_empty.isSeparable
· choose c c_count hc using h
haveI := fun i ↦ (c_count i).to_subtype
set g : (I : Finset ι) × ((i : I) → c i) → (i : ι) → X i := fun ⟨I, f⟩ i ↦
if hi : i ∈ I then f ⟨i, hi⟩ else f₀ i
refine ⟨range g, countable_range g, fun f hf ↦ mem_closure_iff.2 fun o ho hfo ↦ ?_⟩
rcases isOpen_pi_iff.1 ho f hfo with ⟨I, u, huo, hI⟩
rsuffices ⟨f, hf⟩ : ∃ f : (i : I) → c i, g ⟨I, f⟩ ∈ Set.pi I u
· exact ⟨g ⟨I, f⟩, hI hf, mem_range_self _⟩
suffices H : ∀ i ∈ I, (u i ∩ c i).Nonempty by
choose f hfu hfc using H
refine ⟨fun i ↦ ⟨f i i.2, hfc i i.2⟩, fun i (hi : i ∈ I) ↦ ?_⟩
simpa only [g, dif_pos hi] using hfu i hi
intro i hi
exact mem_closure_iff.1 (hc i <| hf _ trivial) _ (huo i hi).1 (huo i hi).2
|
import Mathlib.Combinatorics.SimpleGraph.Finite
import Mathlib.Data.Finset.Sym
import Mathlib.Data.Matrix.Basic
#align_import combinatorics.simple_graph.inc_matrix from "leanprover-community/mathlib"@"bb168510ef455e9280a152e7f31673cabd3d7496"
open Finset Matrix SimpleGraph Sym2
open Matrix
namespace SimpleGraph
variable (R : Type*) {α : Type*} (G : SimpleGraph α)
noncomputable def incMatrix [Zero R] [One R] : Matrix α (Sym2 α) R := fun a =>
(G.incidenceSet a).indicator 1
#align simple_graph.inc_matrix SimpleGraph.incMatrix
variable {R}
theorem incMatrix_apply [Zero R] [One R] {a : α} {e : Sym2 α} :
G.incMatrix R a e = (G.incidenceSet a).indicator 1 e :=
rfl
#align simple_graph.inc_matrix_apply SimpleGraph.incMatrix_apply
theorem incMatrix_apply' [Zero R] [One R] [DecidableEq α] [DecidableRel G.Adj] {a : α}
{e : Sym2 α} : G.incMatrix R a e = if e ∈ G.incidenceSet a then 1 else 0 := by
unfold incMatrix Set.indicator
convert rfl
#align simple_graph.inc_matrix_apply' SimpleGraph.incMatrix_apply'
section MulZeroOneClass
variable [MulZeroOneClass R] {a b : α} {e : Sym2 α}
theorem incMatrix_apply_mul_incMatrix_apply : G.incMatrix R a e * G.incMatrix R b e =
(G.incidenceSet a ∩ G.incidenceSet b).indicator 1 e := by
classical simp only [incMatrix, Set.indicator_apply, ite_zero_mul_ite_zero, Pi.one_apply, mul_one,
Set.mem_inter_iff]
#align simple_graph.inc_matrix_apply_mul_inc_matrix_apply SimpleGraph.incMatrix_apply_mul_incMatrix_apply
theorem incMatrix_apply_mul_incMatrix_apply_of_not_adj (hab : a ≠ b) (h : ¬G.Adj a b) :
G.incMatrix R a e * G.incMatrix R b e = 0 := by
rw [incMatrix_apply_mul_incMatrix_apply, Set.indicator_of_not_mem]
rw [G.incidenceSet_inter_incidenceSet_of_not_adj h hab]
exact Set.not_mem_empty e
#align simple_graph.inc_matrix_apply_mul_inc_matrix_apply_of_not_adj SimpleGraph.incMatrix_apply_mul_incMatrix_apply_of_not_adj
theorem incMatrix_of_not_mem_incidenceSet (h : e ∉ G.incidenceSet a) : G.incMatrix R a e = 0 := by
rw [incMatrix_apply, Set.indicator_of_not_mem h]
#align simple_graph.inc_matrix_of_not_mem_incidence_set SimpleGraph.incMatrix_of_not_mem_incidenceSet
theorem incMatrix_of_mem_incidenceSet (h : e ∈ G.incidenceSet a) : G.incMatrix R a e = 1 := by
rw [incMatrix_apply, Set.indicator_of_mem h, Pi.one_apply]
#align simple_graph.inc_matrix_of_mem_incidence_set SimpleGraph.incMatrix_of_mem_incidenceSet
variable [Nontrivial R]
| Mathlib/Combinatorics/SimpleGraph/IncMatrix.lean | 102 | 103 | theorem incMatrix_apply_eq_zero_iff : G.incMatrix R a e = 0 ↔ e ∉ G.incidenceSet a := by |
simp only [incMatrix_apply, Set.indicator_apply_eq_zero, Pi.one_apply, one_ne_zero]
|
import Mathlib.Order.Filter.SmallSets
import Mathlib.Tactic.Monotonicity
import Mathlib.Topology.Compactness.Compact
import Mathlib.Topology.NhdsSet
import Mathlib.Algebra.Group.Defs
#align_import topology.uniform_space.basic from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c"
open Set Filter Topology
universe u v ua ub uc ud
variable {α : Type ua} {β : Type ub} {γ : Type uc} {δ : Type ud} {ι : Sort*}
def idRel {α : Type*} :=
{ p : α × α | p.1 = p.2 }
#align id_rel idRel
@[simp]
theorem mem_idRel {a b : α} : (a, b) ∈ @idRel α ↔ a = b :=
Iff.rfl
#align mem_id_rel mem_idRel
@[simp]
theorem idRel_subset {s : Set (α × α)} : idRel ⊆ s ↔ ∀ a, (a, a) ∈ s := by
simp [subset_def]
#align id_rel_subset idRel_subset
def compRel (r₁ r₂ : Set (α × α)) :=
{ p : α × α | ∃ z : α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂ }
#align comp_rel compRel
@[inherit_doc]
scoped[Uniformity] infixl:62 " ○ " => compRel
open Uniformity
@[simp]
theorem mem_compRel {α : Type u} {r₁ r₂ : Set (α × α)} {x y : α} :
(x, y) ∈ r₁ ○ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ :=
Iff.rfl
#align mem_comp_rel mem_compRel
@[simp]
theorem swap_idRel : Prod.swap '' idRel = @idRel α :=
Set.ext fun ⟨a, b⟩ => by simpa [image_swap_eq_preimage_swap] using eq_comm
#align swap_id_rel swap_idRel
theorem Monotone.compRel [Preorder β] {f g : β → Set (α × α)} (hf : Monotone f) (hg : Monotone g) :
Monotone fun x => f x ○ g x := fun _ _ h _ ⟨z, h₁, h₂⟩ => ⟨z, hf h h₁, hg h h₂⟩
#align monotone.comp_rel Monotone.compRel
@[mono]
theorem compRel_mono {f g h k : Set (α × α)} (h₁ : f ⊆ h) (h₂ : g ⊆ k) : f ○ g ⊆ h ○ k :=
fun _ ⟨z, h, h'⟩ => ⟨z, h₁ h, h₂ h'⟩
#align comp_rel_mono compRel_mono
theorem prod_mk_mem_compRel {a b c : α} {s t : Set (α × α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) :
(a, b) ∈ s ○ t :=
⟨c, h₁, h₂⟩
#align prod_mk_mem_comp_rel prod_mk_mem_compRel
@[simp]
theorem id_compRel {r : Set (α × α)} : idRel ○ r = r :=
Set.ext fun ⟨a, b⟩ => by simp
#align id_comp_rel id_compRel
theorem compRel_assoc {r s t : Set (α × α)} : r ○ s ○ t = r ○ (s ○ t) := by
ext ⟨a, b⟩; simp only [mem_compRel]; tauto
#align comp_rel_assoc compRel_assoc
theorem left_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ t) : s ⊆ s ○ t := fun ⟨_x, y⟩ xy_in =>
⟨y, xy_in, h <| rfl⟩
#align left_subset_comp_rel left_subset_compRel
theorem right_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ s) : t ⊆ s ○ t := fun ⟨x, _y⟩ xy_in =>
⟨x, h <| rfl, xy_in⟩
#align right_subset_comp_rel right_subset_compRel
theorem subset_comp_self {s : Set (α × α)} (h : idRel ⊆ s) : s ⊆ s ○ s :=
left_subset_compRel h
#align subset_comp_self subset_comp_self
theorem subset_iterate_compRel {s t : Set (α × α)} (h : idRel ⊆ s) (n : ℕ) :
t ⊆ (s ○ ·)^[n] t := by
induction' n with n ihn generalizing t
exacts [Subset.rfl, (right_subset_compRel h).trans ihn]
#align subset_iterate_comp_rel subset_iterate_compRel
def SymmetricRel (V : Set (α × α)) : Prop :=
Prod.swap ⁻¹' V = V
#align symmetric_rel SymmetricRel
def symmetrizeRel (V : Set (α × α)) : Set (α × α) :=
V ∩ Prod.swap ⁻¹' V
#align symmetrize_rel symmetrizeRel
theorem symmetric_symmetrizeRel (V : Set (α × α)) : SymmetricRel (symmetrizeRel V) := by
simp [SymmetricRel, symmetrizeRel, preimage_inter, inter_comm, ← preimage_comp]
#align symmetric_symmetrize_rel symmetric_symmetrizeRel
theorem symmetrizeRel_subset_self (V : Set (α × α)) : symmetrizeRel V ⊆ V :=
sep_subset _ _
#align symmetrize_rel_subset_self symmetrizeRel_subset_self
@[mono]
theorem symmetrize_mono {V W : Set (α × α)} (h : V ⊆ W) : symmetrizeRel V ⊆ symmetrizeRel W :=
inter_subset_inter h <| preimage_mono h
#align symmetrize_mono symmetrize_mono
theorem SymmetricRel.mk_mem_comm {V : Set (α × α)} (hV : SymmetricRel V) {x y : α} :
(x, y) ∈ V ↔ (y, x) ∈ V :=
Set.ext_iff.1 hV (y, x)
#align symmetric_rel.mk_mem_comm SymmetricRel.mk_mem_comm
theorem SymmetricRel.eq {U : Set (α × α)} (hU : SymmetricRel U) : Prod.swap ⁻¹' U = U :=
hU
#align symmetric_rel.eq SymmetricRel.eq
theorem SymmetricRel.inter {U V : Set (α × α)} (hU : SymmetricRel U) (hV : SymmetricRel V) :
SymmetricRel (U ∩ V) := by rw [SymmetricRel, preimage_inter, hU.eq, hV.eq]
#align symmetric_rel.inter SymmetricRel.inter
structure UniformSpace.Core (α : Type u) where
uniformity : Filter (α × α)
refl : 𝓟 idRel ≤ uniformity
symm : Tendsto Prod.swap uniformity uniformity
comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
#align uniform_space.core UniformSpace.Core
protected theorem UniformSpace.Core.comp_mem_uniformity_sets {c : Core α} {s : Set (α × α)}
(hs : s ∈ c.uniformity) : ∃ t ∈ c.uniformity, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| c.comp hs
def UniformSpace.Core.mk' {α : Type u} (U : Filter (α × α)) (refl : ∀ r ∈ U, ∀ (x), (x, x) ∈ r)
(symm : ∀ r ∈ U, Prod.swap ⁻¹' r ∈ U) (comp : ∀ r ∈ U, ∃ t ∈ U, t ○ t ⊆ r) :
UniformSpace.Core α :=
⟨U, fun _r ru => idRel_subset.2 (refl _ ru), symm, fun _r ru =>
let ⟨_s, hs, hsr⟩ := comp _ ru
mem_of_superset (mem_lift' hs) hsr⟩
#align uniform_space.core.mk' UniformSpace.Core.mk'
def UniformSpace.Core.mkOfBasis {α : Type u} (B : FilterBasis (α × α))
(refl : ∀ r ∈ B, ∀ (x), (x, x) ∈ r) (symm : ∀ r ∈ B, ∃ t ∈ B, t ⊆ Prod.swap ⁻¹' r)
(comp : ∀ r ∈ B, ∃ t ∈ B, t ○ t ⊆ r) : UniformSpace.Core α where
uniformity := B.filter
refl := B.hasBasis.ge_iff.mpr fun _r ru => idRel_subset.2 <| refl _ ru
symm := (B.hasBasis.tendsto_iff B.hasBasis).mpr symm
comp := (HasBasis.le_basis_iff (B.hasBasis.lift' (monotone_id.compRel monotone_id))
B.hasBasis).2 comp
#align uniform_space.core.mk_of_basis UniformSpace.Core.mkOfBasis
def UniformSpace.Core.toTopologicalSpace {α : Type u} (u : UniformSpace.Core α) :
TopologicalSpace α :=
.mkOfNhds fun x ↦ .comap (Prod.mk x) u.uniformity
#align uniform_space.core.to_topological_space UniformSpace.Core.toTopologicalSpace
theorem UniformSpace.Core.ext :
∀ {u₁ u₂ : UniformSpace.Core α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align uniform_space.core_eq UniformSpace.Core.ext
theorem UniformSpace.Core.nhds_toTopologicalSpace {α : Type u} (u : Core α) (x : α) :
@nhds α u.toTopologicalSpace x = comap (Prod.mk x) u.uniformity := by
apply TopologicalSpace.nhds_mkOfNhds_of_hasBasis (fun _ ↦ (basis_sets _).comap _)
· exact fun a U hU ↦ u.refl hU rfl
· intro a U hU
rcases u.comp_mem_uniformity_sets hU with ⟨V, hV, hVU⟩
filter_upwards [preimage_mem_comap hV] with b hb
filter_upwards [preimage_mem_comap hV] with c hc
exact hVU ⟨b, hb, hc⟩
-- the topological structure is embedded in the uniform structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
class UniformSpace (α : Type u) extends TopologicalSpace α where
protected uniformity : Filter (α × α)
protected symm : Tendsto Prod.swap uniformity uniformity
protected comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
protected nhds_eq_comap_uniformity (x : α) : 𝓝 x = comap (Prod.mk x) uniformity
#align uniform_space UniformSpace
#noalign uniform_space.mk' -- Can't be a `match_pattern`, so not useful anymore
def uniformity (α : Type u) [UniformSpace α] : Filter (α × α) :=
@UniformSpace.uniformity α _
#align uniformity uniformity
scoped[Uniformity] notation "𝓤[" u "]" => @uniformity _ u
@[inherit_doc] -- Porting note (#11215): TODO: should we drop the `uniformity` def?
scoped[Uniformity] notation "𝓤" => uniformity
abbrev UniformSpace.ofCoreEq {α : Type u} (u : UniformSpace.Core α) (t : TopologicalSpace α)
(h : t = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := t
nhds_eq_comap_uniformity x := by rw [h, u.nhds_toTopologicalSpace]
#align uniform_space.of_core_eq UniformSpace.ofCoreEq
abbrev UniformSpace.ofCore {α : Type u} (u : UniformSpace.Core α) : UniformSpace α :=
.ofCoreEq u _ rfl
#align uniform_space.of_core UniformSpace.ofCore
abbrev UniformSpace.toCore (u : UniformSpace α) : UniformSpace.Core α where
__ := u
refl := by
rintro U hU ⟨x, y⟩ (rfl : x = y)
have : Prod.mk x ⁻¹' U ∈ 𝓝 x := by
rw [UniformSpace.nhds_eq_comap_uniformity]
exact preimage_mem_comap hU
convert mem_of_mem_nhds this
theorem UniformSpace.toCore_toTopologicalSpace (u : UniformSpace α) :
u.toCore.toTopologicalSpace = u.toTopologicalSpace :=
TopologicalSpace.ext_nhds fun a ↦ by
rw [u.nhds_eq_comap_uniformity, u.toCore.nhds_toTopologicalSpace]
#align uniform_space.to_core_to_topological_space UniformSpace.toCore_toTopologicalSpace
@[deprecated UniformSpace.mk (since := "2024-03-20")]
def UniformSpace.ofNhdsEqComap (u : UniformSpace.Core α) (_t : TopologicalSpace α)
(h : ∀ x, 𝓝 x = u.uniformity.comap (Prod.mk x)) : UniformSpace α where
__ := u
nhds_eq_comap_uniformity := h
@[ext]
protected theorem UniformSpace.ext {u₁ u₂ : UniformSpace α} (h : 𝓤[u₁] = 𝓤[u₂]) : u₁ = u₂ := by
have : u₁.toTopologicalSpace = u₂.toTopologicalSpace := TopologicalSpace.ext_nhds fun x ↦ by
rw [u₁.nhds_eq_comap_uniformity, u₂.nhds_eq_comap_uniformity]
exact congr_arg (comap _) h
cases u₁; cases u₂; congr
#align uniform_space_eq UniformSpace.ext
protected theorem UniformSpace.ext_iff {u₁ u₂ : UniformSpace α} :
u₁ = u₂ ↔ ∀ s, s ∈ 𝓤[u₁] ↔ s ∈ 𝓤[u₂] :=
⟨fun h _ => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
theorem UniformSpace.ofCoreEq_toCore (u : UniformSpace α) (t : TopologicalSpace α)
(h : t = u.toCore.toTopologicalSpace) : .ofCoreEq u.toCore t h = u :=
UniformSpace.ext rfl
#align uniform_space.of_core_eq_to_core UniformSpace.ofCoreEq_toCore
abbrev UniformSpace.replaceTopology {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := i
nhds_eq_comap_uniformity x := by rw [h, u.nhds_eq_comap_uniformity]
#align uniform_space.replace_topology UniformSpace.replaceTopology
theorem UniformSpace.replaceTopology_eq {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : u.replaceTopology h = u :=
UniformSpace.ext rfl
#align uniform_space.replace_topology_eq UniformSpace.replaceTopology_eq
-- Porting note: rfc: use `UniformSpace.Core.mkOfBasis`? This will change defeq here and there
def UniformSpace.ofFun {α : Type u} {β : Type v} [OrderedAddCommMonoid β]
(d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
UniformSpace α :=
.ofCore
{ uniformity := ⨅ r > 0, 𝓟 { x | d x.1 x.2 < r }
refl := le_iInf₂ fun r hr => principal_mono.2 <| idRel_subset.2 fun x => by simpa [refl]
symm := tendsto_iInf_iInf fun r => tendsto_iInf_iInf fun _ => tendsto_principal_principal.2
fun x hx => by rwa [mem_setOf, symm]
comp := le_iInf₂ fun r hr => let ⟨δ, h0, hδr⟩ := half r hr; le_principal_iff.2 <|
mem_of_superset
(mem_lift' <| mem_iInf_of_mem δ <| mem_iInf_of_mem h0 <| mem_principal_self _)
fun (x, z) ⟨y, h₁, h₂⟩ => (triangle _ _ _).trans_lt (hδr _ h₁ _ h₂) }
#align uniform_space.of_fun UniformSpace.ofFun
theorem UniformSpace.hasBasis_ofFun {α : Type u} {β : Type v} [LinearOrderedAddCommMonoid β]
(h₀ : ∃ x : β, 0 < x) (d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
𝓤[.ofFun d refl symm triangle half].HasBasis ((0 : β) < ·) (fun ε => { x | d x.1 x.2 < ε }) :=
hasBasis_biInf_principal'
(fun ε₁ h₁ ε₂ h₂ => ⟨min ε₁ ε₂, lt_min h₁ h₂, fun _x hx => lt_of_lt_of_le hx (min_le_left _ _),
fun _x hx => lt_of_lt_of_le hx (min_le_right _ _)⟩) h₀
#align uniform_space.has_basis_of_fun UniformSpace.hasBasis_ofFun
section UniformSpace
variable [UniformSpace α]
theorem nhds_eq_comap_uniformity {x : α} : 𝓝 x = (𝓤 α).comap (Prod.mk x) :=
UniformSpace.nhds_eq_comap_uniformity x
#align nhds_eq_comap_uniformity nhds_eq_comap_uniformity
theorem isOpen_uniformity {s : Set α} :
IsOpen s ↔ ∀ x ∈ s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align is_open_uniformity isOpen_uniformity
theorem refl_le_uniformity : 𝓟 idRel ≤ 𝓤 α :=
(@UniformSpace.toCore α _).refl
#align refl_le_uniformity refl_le_uniformity
instance uniformity.neBot [Nonempty α] : NeBot (𝓤 α) :=
diagonal_nonempty.principal_neBot.mono refl_le_uniformity
#align uniformity.ne_bot uniformity.neBot
theorem refl_mem_uniformity {x : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) : (x, x) ∈ s :=
refl_le_uniformity h rfl
#align refl_mem_uniformity refl_mem_uniformity
theorem mem_uniformity_of_eq {x y : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) (hx : x = y) : (x, y) ∈ s :=
refl_le_uniformity h hx
#align mem_uniformity_of_eq mem_uniformity_of_eq
theorem symm_le_uniformity : map (@Prod.swap α α) (𝓤 _) ≤ 𝓤 _ :=
UniformSpace.symm
#align symm_le_uniformity symm_le_uniformity
theorem comp_le_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) ≤ 𝓤 α :=
UniformSpace.comp
#align comp_le_uniformity comp_le_uniformity
theorem lift'_comp_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) = 𝓤 α :=
comp_le_uniformity.antisymm <| le_lift'.2 fun _s hs ↦ mem_of_superset hs <|
subset_comp_self <| idRel_subset.2 fun _ ↦ refl_mem_uniformity hs
theorem tendsto_swap_uniformity : Tendsto (@Prod.swap α α) (𝓤 α) (𝓤 α) :=
symm_le_uniformity
#align tendsto_swap_uniformity tendsto_swap_uniformity
theorem comp_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| comp_le_uniformity hs
#align comp_mem_uniformity_sets comp_mem_uniformity_sets
theorem eventually_uniformity_iterate_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) (n : ℕ) :
∀ᶠ t in (𝓤 α).smallSets, (t ○ ·)^[n] t ⊆ s := by
suffices ∀ᶠ t in (𝓤 α).smallSets, t ⊆ s ∧ (t ○ ·)^[n] t ⊆ s from (eventually_and.1 this).2
induction' n with n ihn generalizing s
· simpa
rcases comp_mem_uniformity_sets hs with ⟨t, htU, hts⟩
refine (ihn htU).mono fun U hU => ?_
rw [Function.iterate_succ_apply']
exact
⟨hU.1.trans <| (subset_comp_self <| refl_le_uniformity htU).trans hts,
(compRel_mono hU.1 hU.2).trans hts⟩
#align eventually_uniformity_iterate_comp_subset eventually_uniformity_iterate_comp_subset
theorem eventually_uniformity_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∀ᶠ t in (𝓤 α).smallSets, t ○ t ⊆ s :=
eventually_uniformity_iterate_comp_subset hs 1
#align eventually_uniformity_comp_subset eventually_uniformity_comp_subset
theorem Filter.Tendsto.uniformity_trans {l : Filter β} {f₁ f₂ f₃ : β → α}
(h₁₂ : Tendsto (fun x => (f₁ x, f₂ x)) l (𝓤 α))
(h₂₃ : Tendsto (fun x => (f₂ x, f₃ x)) l (𝓤 α)) : Tendsto (fun x => (f₁ x, f₃ x)) l (𝓤 α) := by
refine le_trans (le_lift'.2 fun s hs => mem_map.2 ?_) comp_le_uniformity
filter_upwards [mem_map.1 (h₁₂ hs), mem_map.1 (h₂₃ hs)] with x hx₁₂ hx₂₃ using ⟨_, hx₁₂, hx₂₃⟩
#align filter.tendsto.uniformity_trans Filter.Tendsto.uniformity_trans
theorem Filter.Tendsto.uniformity_symm {l : Filter β} {f : β → α × α} (h : Tendsto f l (𝓤 α)) :
Tendsto (fun x => ((f x).2, (f x).1)) l (𝓤 α) :=
tendsto_swap_uniformity.comp h
#align filter.tendsto.uniformity_symm Filter.Tendsto.uniformity_symm
theorem tendsto_diag_uniformity (f : β → α) (l : Filter β) :
Tendsto (fun x => (f x, f x)) l (𝓤 α) := fun _s hs =>
mem_map.2 <| univ_mem' fun _ => refl_mem_uniformity hs
#align tendsto_diag_uniformity tendsto_diag_uniformity
theorem tendsto_const_uniformity {a : α} {f : Filter β} : Tendsto (fun _ => (a, a)) f (𝓤 α) :=
tendsto_diag_uniformity (fun _ => a) f
#align tendsto_const_uniformity tendsto_const_uniformity
theorem symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ a b, (a, b) ∈ t → (b, a) ∈ t) ∧ t ⊆ s :=
have : preimage Prod.swap s ∈ 𝓤 α := symm_le_uniformity hs
⟨s ∩ preimage Prod.swap s, inter_mem hs this, fun _ _ ⟨h₁, h₂⟩ => ⟨h₂, h₁⟩, inter_subset_left⟩
#align symm_of_uniformity symm_of_uniformity
theorem comp_symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ {a b}, (a, b) ∈ t → (b, a) ∈ t) ∧ t ○ t ⊆ s :=
let ⟨_t, ht₁, ht₂⟩ := comp_mem_uniformity_sets hs
let ⟨t', ht', ht'₁, ht'₂⟩ := symm_of_uniformity ht₁
⟨t', ht', ht'₁ _ _, Subset.trans (monotone_id.compRel monotone_id ht'₂) ht₂⟩
#align comp_symm_of_uniformity comp_symm_of_uniformity
theorem uniformity_le_symm : 𝓤 α ≤ @Prod.swap α α <$> 𝓤 α := by
rw [map_swap_eq_comap_swap]; exact tendsto_swap_uniformity.le_comap
#align uniformity_le_symm uniformity_le_symm
theorem uniformity_eq_symm : 𝓤 α = @Prod.swap α α <$> 𝓤 α :=
le_antisymm uniformity_le_symm symm_le_uniformity
#align uniformity_eq_symm uniformity_eq_symm
@[simp]
theorem comap_swap_uniformity : comap (@Prod.swap α α) (𝓤 α) = 𝓤 α :=
(congr_arg _ uniformity_eq_symm).trans <| comap_map Prod.swap_injective
#align comap_swap_uniformity comap_swap_uniformity
theorem symmetrize_mem_uniformity {V : Set (α × α)} (h : V ∈ 𝓤 α) : symmetrizeRel V ∈ 𝓤 α := by
apply (𝓤 α).inter_sets h
rw [← image_swap_eq_preimage_swap, uniformity_eq_symm]
exact image_mem_map h
#align symmetrize_mem_uniformity symmetrize_mem_uniformity
theorem UniformSpace.hasBasis_symmetric :
(𝓤 α).HasBasis (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) id :=
hasBasis_self.2 fun t t_in =>
⟨symmetrizeRel t, symmetrize_mem_uniformity t_in, symmetric_symmetrizeRel t,
symmetrizeRel_subset_self t⟩
#align uniform_space.has_basis_symmetric UniformSpace.hasBasis_symmetric
theorem uniformity_lift_le_swap {g : Set (α × α) → Filter β} {f : Filter β} (hg : Monotone g)
(h : ((𝓤 α).lift fun s => g (preimage Prod.swap s)) ≤ f) : (𝓤 α).lift g ≤ f :=
calc
(𝓤 α).lift g ≤ (Filter.map (@Prod.swap α α) <| 𝓤 α).lift g :=
lift_mono uniformity_le_symm le_rfl
_ ≤ _ := by rw [map_lift_eq2 hg, image_swap_eq_preimage_swap]; exact h
#align uniformity_lift_le_swap uniformity_lift_le_swap
theorem uniformity_lift_le_comp {f : Set (α × α) → Filter β} (h : Monotone f) :
((𝓤 α).lift fun s => f (s ○ s)) ≤ (𝓤 α).lift f :=
calc
((𝓤 α).lift fun s => f (s ○ s)) = ((𝓤 α).lift' fun s : Set (α × α) => s ○ s).lift f := by
rw [lift_lift'_assoc]
· exact monotone_id.compRel monotone_id
· exact h
_ ≤ (𝓤 α).lift f := lift_mono comp_le_uniformity le_rfl
#align uniformity_lift_le_comp uniformity_lift_le_comp
-- Porting note (#10756): new lemma
theorem comp3_mem_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ (t ○ t) ⊆ s :=
let ⟨_t', ht', ht's⟩ := comp_mem_uniformity_sets hs
let ⟨t, ht, htt'⟩ := comp_mem_uniformity_sets ht'
⟨t, ht, (compRel_mono ((subset_comp_self (refl_le_uniformity ht)).trans htt') htt').trans ht's⟩
theorem comp_le_uniformity3 : ((𝓤 α).lift' fun s : Set (α × α) => s ○ (s ○ s)) ≤ 𝓤 α := fun _ h =>
let ⟨_t, htU, ht⟩ := comp3_mem_uniformity h
mem_of_superset (mem_lift' htU) ht
#align comp_le_uniformity3 comp_le_uniformity3
theorem comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ⊆ s := by
obtain ⟨w, w_in, w_sub⟩ : ∃ w ∈ 𝓤 α, w ○ w ⊆ s := comp_mem_uniformity_sets hs
use symmetrizeRel w, symmetrize_mem_uniformity w_in, symmetric_symmetrizeRel w
have : symmetrizeRel w ⊆ w := symmetrizeRel_subset_self w
calc symmetrizeRel w ○ symmetrizeRel w
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_symm_mem_uniformity_sets comp_symm_mem_uniformity_sets
theorem subset_comp_self_of_mem_uniformity {s : Set (α × α)} (h : s ∈ 𝓤 α) : s ⊆ s ○ s :=
subset_comp_self (refl_le_uniformity h)
#align subset_comp_self_of_mem_uniformity subset_comp_self_of_mem_uniformity
theorem comp_comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ○ t ⊆ s := by
rcases comp_symm_mem_uniformity_sets hs with ⟨w, w_in, _, w_sub⟩
rcases comp_symm_mem_uniformity_sets w_in with ⟨t, t_in, t_symm, t_sub⟩
use t, t_in, t_symm
have : t ⊆ t ○ t := subset_comp_self_of_mem_uniformity t_in
-- Porting note: Needed the following `have`s to make `mono` work
have ht := Subset.refl t
have hw := Subset.refl w
calc
t ○ t ○ t ⊆ w ○ t := by mono
_ ⊆ w ○ (t ○ t) := by mono
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_comp_symm_mem_uniformity_sets comp_comp_symm_mem_uniformity_sets
def UniformSpace.ball (x : β) (V : Set (β × β)) : Set β :=
Prod.mk x ⁻¹' V
#align uniform_space.ball UniformSpace.ball
open UniformSpace (ball)
theorem UniformSpace.mem_ball_self (x : α) {V : Set (α × α)} (hV : V ∈ 𝓤 α) : x ∈ ball x V :=
refl_mem_uniformity hV
#align uniform_space.mem_ball_self UniformSpace.mem_ball_self
theorem mem_ball_comp {V W : Set (β × β)} {x y z} (h : y ∈ ball x V) (h' : z ∈ ball y W) :
z ∈ ball x (V ○ W) :=
prod_mk_mem_compRel h h'
#align mem_ball_comp mem_ball_comp
theorem ball_subset_of_comp_subset {V W : Set (β × β)} {x y} (h : x ∈ ball y W) (h' : W ○ W ⊆ V) :
ball x W ⊆ ball y V := fun _z z_in => h' (mem_ball_comp h z_in)
#align ball_subset_of_comp_subset ball_subset_of_comp_subset
theorem ball_mono {V W : Set (β × β)} (h : V ⊆ W) (x : β) : ball x V ⊆ ball x W :=
preimage_mono h
#align ball_mono ball_mono
theorem ball_inter (x : β) (V W : Set (β × β)) : ball x (V ∩ W) = ball x V ∩ ball x W :=
preimage_inter
#align ball_inter ball_inter
theorem ball_inter_left (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x V :=
ball_mono inter_subset_left x
#align ball_inter_left ball_inter_left
theorem ball_inter_right (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x W :=
ball_mono inter_subset_right x
#align ball_inter_right ball_inter_right
theorem mem_ball_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x y} :
x ∈ ball y V ↔ y ∈ ball x V :=
show (x, y) ∈ Prod.swap ⁻¹' V ↔ (x, y) ∈ V by
unfold SymmetricRel at hV
rw [hV]
#align mem_ball_symmetry mem_ball_symmetry
theorem ball_eq_of_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x} :
ball x V = { y | (y, x) ∈ V } := by
ext y
rw [mem_ball_symmetry hV]
exact Iff.rfl
#align ball_eq_of_symmetry ball_eq_of_symmetry
theorem mem_comp_of_mem_ball {V W : Set (β × β)} {x y z : β} (hV : SymmetricRel V)
(hx : x ∈ ball z V) (hy : y ∈ ball z W) : (x, y) ∈ V ○ W := by
rw [mem_ball_symmetry hV] at hx
exact ⟨z, hx, hy⟩
#align mem_comp_of_mem_ball mem_comp_of_mem_ball
theorem UniformSpace.isOpen_ball (x : α) {V : Set (α × α)} (hV : IsOpen V) : IsOpen (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
#align uniform_space.is_open_ball UniformSpace.isOpen_ball
theorem UniformSpace.isClosed_ball (x : α) {V : Set (α × α)} (hV : IsClosed V) :
IsClosed (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
theorem mem_comp_comp {V W M : Set (β × β)} (hW' : SymmetricRel W) {p : β × β} :
p ∈ V ○ M ○ W ↔ (ball p.1 V ×ˢ ball p.2 W ∩ M).Nonempty := by
cases' p with x y
constructor
· rintro ⟨z, ⟨w, hpw, hwz⟩, hzy⟩
exact ⟨(w, z), ⟨hpw, by rwa [mem_ball_symmetry hW']⟩, hwz⟩
· rintro ⟨⟨w, z⟩, ⟨w_in, z_in⟩, hwz⟩
rw [mem_ball_symmetry hW'] at z_in
exact ⟨z, ⟨w, w_in, hwz⟩, z_in⟩
#align mem_comp_comp mem_comp_comp
theorem mem_nhds_uniformity_iff_right {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align mem_nhds_uniformity_iff_right mem_nhds_uniformity_iff_right
theorem mem_nhds_uniformity_iff_left {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.2 = x → p.1 ∈ s } ∈ 𝓤 α := by
rw [uniformity_eq_symm, mem_nhds_uniformity_iff_right]
simp only [map_def, mem_map, preimage_setOf_eq, Prod.snd_swap, Prod.fst_swap]
#align mem_nhds_uniformity_iff_left mem_nhds_uniformity_iff_left
theorem nhdsWithin_eq_comap_uniformity_of_mem {x : α} {T : Set α} (hx : x ∈ T) (S : Set α) :
𝓝[S] x = (𝓤 α ⊓ 𝓟 (T ×ˢ S)).comap (Prod.mk x) := by
simp [nhdsWithin, nhds_eq_comap_uniformity, hx]
theorem nhdsWithin_eq_comap_uniformity {x : α} (S : Set α) :
𝓝[S] x = (𝓤 α ⊓ 𝓟 (univ ×ˢ S)).comap (Prod.mk x) :=
nhdsWithin_eq_comap_uniformity_of_mem (mem_univ _) S
theorem isOpen_iff_ball_subset {s : Set α} : IsOpen s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 α, ball x V ⊆ s := by
simp_rw [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap, ball]
#align is_open_iff_ball_subset isOpen_iff_ball_subset
theorem nhds_basis_uniformity' {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s)
{x : α} : (𝓝 x).HasBasis p fun i => ball x (s i) := by
rw [nhds_eq_comap_uniformity]
exact h.comap (Prod.mk x)
#align nhds_basis_uniformity' nhds_basis_uniformity'
theorem nhds_basis_uniformity {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s)
{x : α} : (𝓝 x).HasBasis p fun i => { y | (y, x) ∈ s i } := by
replace h := h.comap Prod.swap
rw [comap_swap_uniformity] at h
exact nhds_basis_uniformity' h
#align nhds_basis_uniformity nhds_basis_uniformity
theorem nhds_eq_comap_uniformity' {x : α} : 𝓝 x = (𝓤 α).comap fun y => (y, x) :=
(nhds_basis_uniformity (𝓤 α).basis_sets).eq_of_same_basis <| (𝓤 α).basis_sets.comap _
#align nhds_eq_comap_uniformity' nhds_eq_comap_uniformity'
theorem UniformSpace.mem_nhds_iff {x : α} {s : Set α} : s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, ball x V ⊆ s := by
rw [nhds_eq_comap_uniformity, mem_comap]
simp_rw [ball]
#align uniform_space.mem_nhds_iff UniformSpace.mem_nhds_iff
theorem UniformSpace.ball_mem_nhds (x : α) ⦃V : Set (α × α)⦄ (V_in : V ∈ 𝓤 α) : ball x V ∈ 𝓝 x := by
rw [UniformSpace.mem_nhds_iff]
exact ⟨V, V_in, Subset.rfl⟩
#align uniform_space.ball_mem_nhds UniformSpace.ball_mem_nhds
theorem UniformSpace.ball_mem_nhdsWithin {x : α} {S : Set α} ⦃V : Set (α × α)⦄ (x_in : x ∈ S)
(V_in : V ∈ 𝓤 α ⊓ 𝓟 (S ×ˢ S)) : ball x V ∈ 𝓝[S] x := by
rw [nhdsWithin_eq_comap_uniformity_of_mem x_in, mem_comap]
exact ⟨V, V_in, Subset.rfl⟩
theorem UniformSpace.mem_nhds_iff_symm {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, SymmetricRel V ∧ ball x V ⊆ s := by
rw [UniformSpace.mem_nhds_iff]
constructor
· rintro ⟨V, V_in, V_sub⟩
use symmetrizeRel V, symmetrize_mem_uniformity V_in, symmetric_symmetrizeRel V
exact Subset.trans (ball_mono (symmetrizeRel_subset_self V) x) V_sub
· rintro ⟨V, V_in, _, V_sub⟩
exact ⟨V, V_in, V_sub⟩
#align uniform_space.mem_nhds_iff_symm UniformSpace.mem_nhds_iff_symm
theorem UniformSpace.hasBasis_nhds (x : α) :
HasBasis (𝓝 x) (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) fun s => ball x s :=
⟨fun t => by simp [UniformSpace.mem_nhds_iff_symm, and_assoc]⟩
#align uniform_space.has_basis_nhds UniformSpace.hasBasis_nhds
open UniformSpace
theorem UniformSpace.mem_closure_iff_symm_ball {s : Set α} {x} :
x ∈ closure s ↔ ∀ {V}, V ∈ 𝓤 α → SymmetricRel V → (s ∩ ball x V).Nonempty := by
simp [mem_closure_iff_nhds_basis (hasBasis_nhds x), Set.Nonempty]
#align uniform_space.mem_closure_iff_symm_ball UniformSpace.mem_closure_iff_symm_ball
theorem UniformSpace.mem_closure_iff_ball {s : Set α} {x} :
x ∈ closure s ↔ ∀ {V}, V ∈ 𝓤 α → (ball x V ∩ s).Nonempty := by
simp [mem_closure_iff_nhds_basis' (nhds_basis_uniformity' (𝓤 α).basis_sets)]
#align uniform_space.mem_closure_iff_ball UniformSpace.mem_closure_iff_ball
theorem UniformSpace.hasBasis_nhds_prod (x y : α) :
HasBasis (𝓝 (x, y)) (fun s => s ∈ 𝓤 α ∧ SymmetricRel s) fun s => ball x s ×ˢ ball y s := by
rw [nhds_prod_eq]
apply (hasBasis_nhds x).prod_same_index (hasBasis_nhds y)
rintro U V ⟨U_in, U_symm⟩ ⟨V_in, V_symm⟩
exact
⟨U ∩ V, ⟨(𝓤 α).inter_sets U_in V_in, U_symm.inter V_symm⟩, ball_inter_left x U V,
ball_inter_right y U V⟩
#align uniform_space.has_basis_nhds_prod UniformSpace.hasBasis_nhds_prod
theorem nhds_eq_uniformity {x : α} : 𝓝 x = (𝓤 α).lift' (ball x) :=
(nhds_basis_uniformity' (𝓤 α).basis_sets).eq_biInf
#align nhds_eq_uniformity nhds_eq_uniformity
theorem nhds_eq_uniformity' {x : α} : 𝓝 x = (𝓤 α).lift' fun s => { y | (y, x) ∈ s } :=
(nhds_basis_uniformity (𝓤 α).basis_sets).eq_biInf
#align nhds_eq_uniformity' nhds_eq_uniformity'
theorem mem_nhds_left (x : α) {s : Set (α × α)} (h : s ∈ 𝓤 α) : { y : α | (x, y) ∈ s } ∈ 𝓝 x :=
ball_mem_nhds x h
#align mem_nhds_left mem_nhds_left
theorem mem_nhds_right (y : α) {s : Set (α × α)} (h : s ∈ 𝓤 α) : { x : α | (x, y) ∈ s } ∈ 𝓝 y :=
mem_nhds_left _ (symm_le_uniformity h)
#align mem_nhds_right mem_nhds_right
theorem exists_mem_nhds_ball_subset_of_mem_nhds {a : α} {U : Set α} (h : U ∈ 𝓝 a) :
∃ V ∈ 𝓝 a, ∃ t ∈ 𝓤 α, ∀ a' ∈ V, UniformSpace.ball a' t ⊆ U :=
let ⟨t, ht, htU⟩ := comp_mem_uniformity_sets (mem_nhds_uniformity_iff_right.1 h)
⟨_, mem_nhds_left a ht, t, ht, fun a₁ h₁ a₂ h₂ => @htU (a, a₂) ⟨a₁, h₁, h₂⟩ rfl⟩
#align exists_mem_nhds_ball_subset_of_mem_nhds exists_mem_nhds_ball_subset_of_mem_nhds
theorem tendsto_right_nhds_uniformity {a : α} : Tendsto (fun a' => (a', a)) (𝓝 a) (𝓤 α) := fun _ =>
mem_nhds_right a
#align tendsto_right_nhds_uniformity tendsto_right_nhds_uniformity
theorem tendsto_left_nhds_uniformity {a : α} : Tendsto (fun a' => (a, a')) (𝓝 a) (𝓤 α) := fun _ =>
mem_nhds_left a
#align tendsto_left_nhds_uniformity tendsto_left_nhds_uniformity
theorem lift_nhds_left {x : α} {g : Set α → Filter β} (hg : Monotone g) :
(𝓝 x).lift g = (𝓤 α).lift fun s : Set (α × α) => g (ball x s) := by
rw [nhds_eq_comap_uniformity, comap_lift_eq2 hg]
simp_rw [ball, Function.comp]
#align lift_nhds_left lift_nhds_left
theorem lift_nhds_right {x : α} {g : Set α → Filter β} (hg : Monotone g) :
(𝓝 x).lift g = (𝓤 α).lift fun s : Set (α × α) => g { y | (y, x) ∈ s } := by
rw [nhds_eq_comap_uniformity', comap_lift_eq2 hg]
simp_rw [Function.comp, preimage]
#align lift_nhds_right lift_nhds_right
theorem nhds_nhds_eq_uniformity_uniformity_prod {a b : α} :
𝓝 a ×ˢ 𝓝 b = (𝓤 α).lift fun s : Set (α × α) =>
(𝓤 α).lift' fun t => { y : α | (y, a) ∈ s } ×ˢ { y : α | (b, y) ∈ t } := by
rw [nhds_eq_uniformity', nhds_eq_uniformity, prod_lift'_lift']
exacts [rfl, monotone_preimage, monotone_preimage]
#align nhds_nhds_eq_uniformity_uniformity_prod nhds_nhds_eq_uniformity_uniformity_prod
| Mathlib/Topology/UniformSpace/Basic.lean | 865 | 871 | theorem nhds_eq_uniformity_prod {a b : α} :
𝓝 (a, b) =
(𝓤 α).lift' fun s : Set (α × α) => { y : α | (y, a) ∈ s } ×ˢ { y : α | (b, y) ∈ s } := by |
rw [nhds_prod_eq, nhds_nhds_eq_uniformity_uniformity_prod, lift_lift'_same_eq_lift']
· exact fun s => monotone_const.set_prod monotone_preimage
· refine fun t => Monotone.set_prod ?_ monotone_const
exact monotone_preimage (f := fun y => (y, a))
|
import Mathlib.RingTheory.RootsOfUnity.Basic
import Mathlib.RingTheory.AdjoinRoot
import Mathlib.FieldTheory.Galois
import Mathlib.LinearAlgebra.Eigenspace.Minpoly
import Mathlib.RingTheory.Norm
universe u
variable {K : Type u} [Field K]
open Polynomial IntermediateField AdjoinRoot
section Splits
lemma root_X_pow_sub_C_pow (n : ℕ) (a : K) :
(AdjoinRoot.root (X ^ n - C a)) ^ n = AdjoinRoot.of _ a := by
rw [← sub_eq_zero, ← AdjoinRoot.eval₂_root, eval₂_sub, eval₂_C, eval₂_pow, eval₂_X]
lemma root_X_pow_sub_C_ne_zero {n : ℕ} (hn : 1 < n) (a : K) :
(AdjoinRoot.root (X ^ n - C a)) ≠ 0 :=
mk_ne_zero_of_natDegree_lt (monic_X_pow_sub_C _ (Nat.not_eq_zero_of_lt hn))
X_ne_zero <| by rwa [natDegree_X_pow_sub_C, natDegree_X]
lemma root_X_pow_sub_C_ne_zero' {n : ℕ} {a : K} (hn : 0 < n) (ha : a ≠ 0) :
(AdjoinRoot.root (X ^ n - C a)) ≠ 0 := by
obtain (rfl|hn) := (Nat.succ_le_iff.mpr hn).eq_or_lt
· rw [← Nat.one_eq_succ_zero, pow_one]
intro e
refine mk_ne_zero_of_natDegree_lt (monic_X_sub_C a) (C_ne_zero.mpr ha) (by simp) ?_
trans AdjoinRoot.mk (X - C a) (X - (X - C a))
· rw [sub_sub_cancel]
· rw [map_sub, mk_self, sub_zero, mk_X, e]
· exact root_X_pow_sub_C_ne_zero hn a
theorem X_pow_sub_C_splits_of_isPrimitiveRoot
{n : ℕ} {ζ : K} (hζ : IsPrimitiveRoot ζ n) {α a : K} (e : α ^ n = a) :
(X ^ n - C a).Splits (RingHom.id _) := by
cases n.eq_zero_or_pos with
| inl hn =>
rw [hn, pow_zero, ← C.map_one, ← map_sub]
exact splits_C _ _
| inr hn =>
rw [splits_iff_card_roots, ← nthRoots, hζ.card_nthRoots, natDegree_X_pow_sub_C, if_pos ⟨α, e⟩]
open BigOperators
-- make this private, as we only use it to prove a strictly more general version
private
| Mathlib/FieldTheory/KummerExtension.lean | 88 | 93 | theorem X_pow_sub_C_eq_prod'
{n : ℕ} {ζ : K} (hζ : IsPrimitiveRoot ζ n) {α a : K} (hn : 0 < n) (e : α ^ n = a) :
(X ^ n - C a) = ∏ i ∈ Finset.range n, (X - C (ζ ^ i * α)) := by |
rw [eq_prod_roots_of_monic_of_splits_id (monic_X_pow_sub_C _ (Nat.pos_iff_ne_zero.mp hn))
(X_pow_sub_C_splits_of_isPrimitiveRoot hζ e), ← nthRoots, hζ.nthRoots_eq e, Multiset.map_map]
rfl
|
import Mathlib.Order.Cover
import Mathlib.Order.Interval.Finset.Defs
#align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d"
assert_not_exists MonoidWithZero
assert_not_exists Finset.sum
open Function OrderDual
open FinsetInterval
variable {ι α : Type*}
namespace Finset
section Preorder
variable [Preorder α]
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α}
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by
rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc]
#align finset.nonempty_Icc Finset.nonempty_Icc
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico]
#align finset.nonempty_Ico Finset.nonempty_Ico
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc]
#align finset.nonempty_Ioc Finset.nonempty_Ioc
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioo, Set.nonempty_Ioo]
#align finset.nonempty_Ioo Finset.nonempty_Ioo
@[simp]
theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by
rw [← coe_eq_empty, coe_Icc, Set.Icc_eq_empty_iff]
#align finset.Icc_eq_empty_iff Finset.Icc_eq_empty_iff
@[simp]
theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ico, Set.Ico_eq_empty_iff]
#align finset.Ico_eq_empty_iff Finset.Ico_eq_empty_iff
@[simp]
theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioc, Set.Ioc_eq_empty_iff]
#align finset.Ioc_eq_empty_iff Finset.Ioc_eq_empty_iff
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem Ioo_eq_empty_iff [DenselyOrdered α] : Ioo a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioo, Set.Ioo_eq_empty_iff]
#align finset.Ioo_eq_empty_iff Finset.Ioo_eq_empty_iff
alias ⟨_, Icc_eq_empty⟩ := Icc_eq_empty_iff
#align finset.Icc_eq_empty Finset.Icc_eq_empty
alias ⟨_, Ico_eq_empty⟩ := Ico_eq_empty_iff
#align finset.Ico_eq_empty Finset.Ico_eq_empty
alias ⟨_, Ioc_eq_empty⟩ := Ioc_eq_empty_iff
#align finset.Ioc_eq_empty Finset.Ioc_eq_empty
@[simp]
theorem Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ hx => h ((mem_Ioo.1 hx).1.trans (mem_Ioo.1 hx).2)
#align finset.Ioo_eq_empty Finset.Ioo_eq_empty
@[simp]
theorem Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ :=
Icc_eq_empty h.not_le
#align finset.Icc_eq_empty_of_lt Finset.Icc_eq_empty_of_lt
@[simp]
theorem Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ :=
Ico_eq_empty h.not_lt
#align finset.Ico_eq_empty_of_le Finset.Ico_eq_empty_of_le
@[simp]
theorem Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ :=
Ioc_eq_empty h.not_lt
#align finset.Ioc_eq_empty_of_le Finset.Ioc_eq_empty_of_le
@[simp]
theorem Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ :=
Ioo_eq_empty h.not_lt
#align finset.Ioo_eq_empty_of_le Finset.Ioo_eq_empty_of_le
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, true_and_iff, le_rfl]
#align finset.left_mem_Icc Finset.left_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
| Mathlib/Order/Interval/Finset/Basic.lean | 139 | 139 | theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by | simp only [mem_Ico, true_and_iff, le_refl]
|
import Mathlib.AlgebraicGeometry.Gluing
import Mathlib.CategoryTheory.Limits.Opposites
import Mathlib.AlgebraicGeometry.AffineScheme
import Mathlib.CategoryTheory.Limits.Shapes.Diagonal
#align_import algebraic_geometry.pullbacks from "leanprover-community/mathlib"@"7316286ff2942aa14e540add9058c6b0aa1c8070"
set_option linter.uppercaseLean3 false
universe v u
noncomputable section
open CategoryTheory CategoryTheory.Limits AlgebraicGeometry
namespace AlgebraicGeometry.Scheme
namespace Pullback
variable {C : Type u} [Category.{v} C]
variable {X Y Z : Scheme.{u}} (𝒰 : OpenCover.{u} X) (f : X ⟶ Z) (g : Y ⟶ Z)
variable [∀ i, HasPullback (𝒰.map i ≫ f) g]
def v (i j : 𝒰.J) : Scheme :=
pullback ((pullback.fst : pullback (𝒰.map i ≫ f) g ⟶ _) ≫ 𝒰.map i) (𝒰.map j)
#align algebraic_geometry.Scheme.pullback.V AlgebraicGeometry.Scheme.Pullback.v
def t (i j : 𝒰.J) : v 𝒰 f g i j ⟶ v 𝒰 f g j i := by
have : HasPullback (pullback.snd ≫ 𝒰.map i ≫ f) g :=
hasPullback_assoc_symm (𝒰.map j) (𝒰.map i) (𝒰.map i ≫ f) g
have : HasPullback (pullback.snd ≫ 𝒰.map j ≫ f) g :=
hasPullback_assoc_symm (𝒰.map i) (𝒰.map j) (𝒰.map j ≫ f) g
refine (pullbackSymmetry ..).hom ≫ (pullbackAssoc ..).inv ≫ ?_
refine ?_ ≫ (pullbackAssoc ..).hom ≫ (pullbackSymmetry ..).hom
refine pullback.map _ _ _ _ (pullbackSymmetry _ _).hom (𝟙 _) (𝟙 _) ?_ ?_
· rw [pullbackSymmetry_hom_comp_snd_assoc, pullback.condition_assoc, Category.comp_id]
· rw [Category.comp_id, Category.id_comp]
#align algebraic_geometry.Scheme.pullback.t AlgebraicGeometry.Scheme.Pullback.t
@[simp, reassoc]
theorem t_fst_fst (i j : 𝒰.J) : t 𝒰 f g i j ≫ pullback.fst ≫ pullback.fst = pullback.snd := by
simp only [t, Category.assoc, pullbackSymmetry_hom_comp_fst_assoc, pullbackAssoc_hom_snd_fst,
pullback.lift_fst_assoc, pullbackSymmetry_hom_comp_snd, pullbackAssoc_inv_fst_fst,
pullbackSymmetry_hom_comp_fst]
#align algebraic_geometry.Scheme.pullback.t_fst_fst AlgebraicGeometry.Scheme.Pullback.t_fst_fst
@[simp, reassoc]
theorem t_fst_snd (i j : 𝒰.J) :
t 𝒰 f g i j ≫ pullback.fst ≫ pullback.snd = pullback.fst ≫ pullback.snd := by
simp only [t, Category.assoc, pullbackSymmetry_hom_comp_fst_assoc, pullbackAssoc_hom_snd_snd,
pullback.lift_snd, Category.comp_id, pullbackAssoc_inv_snd, pullbackSymmetry_hom_comp_snd_assoc]
#align algebraic_geometry.Scheme.pullback.t_fst_snd AlgebraicGeometry.Scheme.Pullback.t_fst_snd
@[simp, reassoc]
theorem t_snd (i j : 𝒰.J) : t 𝒰 f g i j ≫ pullback.snd = pullback.fst ≫ pullback.fst := by
simp only [t, Category.assoc, pullbackSymmetry_hom_comp_snd, pullbackAssoc_hom_fst,
pullback.lift_fst_assoc, pullbackSymmetry_hom_comp_fst, pullbackAssoc_inv_fst_snd,
pullbackSymmetry_hom_comp_snd_assoc]
#align algebraic_geometry.Scheme.pullback.t_snd AlgebraicGeometry.Scheme.Pullback.t_snd
theorem t_id (i : 𝒰.J) : t 𝒰 f g i i = 𝟙 _ := by
apply pullback.hom_ext <;> rw [Category.id_comp]
· apply pullback.hom_ext
· rw [← cancel_mono (𝒰.map i)]; simp only [pullback.condition, Category.assoc, t_fst_fst]
· simp only [Category.assoc, t_fst_snd]
· rw [← cancel_mono (𝒰.map i)]; simp only [pullback.condition, t_snd, Category.assoc]
#align algebraic_geometry.Scheme.pullback.t_id AlgebraicGeometry.Scheme.Pullback.t_id
abbrev fV (i j : 𝒰.J) : v 𝒰 f g i j ⟶ pullback (𝒰.map i ≫ f) g :=
pullback.fst
#align algebraic_geometry.Scheme.pullback.fV AlgebraicGeometry.Scheme.Pullback.fV
def t' (i j k : 𝒰.J) :
pullback (fV 𝒰 f g i j) (fV 𝒰 f g i k) ⟶ pullback (fV 𝒰 f g j k) (fV 𝒰 f g j i) := by
refine (pullbackRightPullbackFstIso ..).hom ≫ ?_
refine ?_ ≫ (pullbackSymmetry _ _).hom
refine ?_ ≫ (pullbackRightPullbackFstIso ..).inv
refine pullback.map _ _ _ _ (t 𝒰 f g i j) (𝟙 _) (𝟙 _) ?_ ?_
· simp_rw [Category.comp_id, t_fst_fst_assoc, ← pullback.condition]
· rw [Category.comp_id, Category.id_comp]
#align algebraic_geometry.Scheme.pullback.t' AlgebraicGeometry.Scheme.Pullback.t'
@[simp, reassoc]
theorem t'_fst_fst_fst (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.fst ≫ pullback.fst ≫ pullback.fst = pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_fst_assoc,
pullbackRightPullbackFstIso_inv_snd_fst_assoc, pullback.lift_fst_assoc, t_fst_fst,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_fst_fst_fst AlgebraicGeometry.Scheme.Pullback.t'_fst_fst_fst
@[simp, reassoc]
theorem t'_fst_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.fst ≫ pullback.fst ≫ pullback.snd =
pullback.fst ≫ pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_fst_assoc,
pullbackRightPullbackFstIso_inv_snd_fst_assoc, pullback.lift_fst_assoc, t_fst_snd,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_fst_fst_snd AlgebraicGeometry.Scheme.Pullback.t'_fst_fst_snd
@[simp, reassoc]
theorem t'_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.fst ≫ pullback.snd = pullback.snd ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_fst_assoc,
pullbackRightPullbackFstIso_inv_snd_snd, pullback.lift_snd, Category.comp_id,
pullbackRightPullbackFstIso_hom_snd]
#align algebraic_geometry.Scheme.pullback.t'_fst_snd AlgebraicGeometry.Scheme.Pullback.t'_fst_snd
@[simp, reassoc]
theorem t'_snd_fst_fst (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.snd ≫ pullback.fst ≫ pullback.fst = pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_snd_assoc,
pullbackRightPullbackFstIso_inv_fst_assoc, pullback.lift_fst_assoc, t_fst_fst,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_snd_fst_fst AlgebraicGeometry.Scheme.Pullback.t'_snd_fst_fst
@[simp, reassoc]
theorem t'_snd_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.snd ≫ pullback.fst ≫ pullback.snd =
pullback.fst ≫ pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_snd_assoc,
pullbackRightPullbackFstIso_inv_fst_assoc, pullback.lift_fst_assoc, t_fst_snd,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_snd_fst_snd AlgebraicGeometry.Scheme.Pullback.t'_snd_fst_snd
@[simp, reassoc]
theorem t'_snd_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.snd ≫ pullback.snd = pullback.fst ≫ pullback.fst ≫ pullback.fst := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_snd_assoc,
pullbackRightPullbackFstIso_inv_fst_assoc, pullback.lift_fst_assoc, t_snd,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_snd_snd AlgebraicGeometry.Scheme.Pullback.t'_snd_snd
theorem cocycle_fst_fst_fst (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.fst ≫ pullback.fst ≫ pullback.fst =
pullback.fst ≫ pullback.fst ≫ pullback.fst := by
simp only [t'_fst_fst_fst, t'_fst_snd, t'_snd_snd]
#align algebraic_geometry.Scheme.pullback.cocycle_fst_fst_fst AlgebraicGeometry.Scheme.Pullback.cocycle_fst_fst_fst
theorem cocycle_fst_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.fst ≫ pullback.fst ≫ pullback.snd =
pullback.fst ≫ pullback.fst ≫ pullback.snd := by
simp only [t'_fst_fst_snd]
#align algebraic_geometry.Scheme.pullback.cocycle_fst_fst_snd AlgebraicGeometry.Scheme.Pullback.cocycle_fst_fst_snd
theorem cocycle_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.fst ≫ pullback.snd =
pullback.fst ≫ pullback.snd := by
simp only [t'_fst_snd, t'_snd_snd, t'_fst_fst_fst]
#align algebraic_geometry.Scheme.pullback.cocycle_fst_snd AlgebraicGeometry.Scheme.Pullback.cocycle_fst_snd
| Mathlib/AlgebraicGeometry/Pullbacks.lean | 177 | 181 | theorem cocycle_snd_fst_fst (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.snd ≫ pullback.fst ≫ pullback.fst =
pullback.snd ≫ pullback.fst ≫ pullback.fst := by |
rw [← cancel_mono (𝒰.map i)]
simp only [pullback.condition_assoc, t'_snd_fst_fst, t'_fst_snd, t'_snd_snd]
|
import Mathlib.Analysis.SpecialFunctions.Exp
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Analysis.NormedSpace.Real
#align_import analysis.special_functions.log.basic from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690"
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {x y : ℝ}
-- @[pp_nodot] -- Porting note: removed
noncomputable def log (x : ℝ) : ℝ :=
if hx : x = 0 then 0 else expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩
#align real.log Real.log
theorem log_of_ne_zero (hx : x ≠ 0) : log x = expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ :=
dif_neg hx
#align real.log_of_ne_zero Real.log_of_ne_zero
theorem log_of_pos (hx : 0 < x) : log x = expOrderIso.symm ⟨x, hx⟩ := by
rw [log_of_ne_zero hx.ne']
congr
exact abs_of_pos hx
#align real.log_of_pos Real.log_of_pos
theorem exp_log_eq_abs (hx : x ≠ 0) : exp (log x) = |x| := by
rw [log_of_ne_zero hx, ← coe_expOrderIso_apply, OrderIso.apply_symm_apply, Subtype.coe_mk]
#align real.exp_log_eq_abs Real.exp_log_eq_abs
theorem exp_log (hx : 0 < x) : exp (log x) = x := by
rw [exp_log_eq_abs hx.ne']
exact abs_of_pos hx
#align real.exp_log Real.exp_log
theorem exp_log_of_neg (hx : x < 0) : exp (log x) = -x := by
rw [exp_log_eq_abs (ne_of_lt hx)]
exact abs_of_neg hx
#align real.exp_log_of_neg Real.exp_log_of_neg
theorem le_exp_log (x : ℝ) : x ≤ exp (log x) := by
by_cases h_zero : x = 0
· rw [h_zero, log, dif_pos rfl, exp_zero]
exact zero_le_one
· rw [exp_log_eq_abs h_zero]
exact le_abs_self _
#align real.le_exp_log Real.le_exp_log
@[simp]
theorem log_exp (x : ℝ) : log (exp x) = x :=
exp_injective <| exp_log (exp_pos x)
#align real.log_exp Real.log_exp
theorem surjOn_log : SurjOn log (Ioi 0) univ := fun x _ => ⟨exp x, exp_pos x, log_exp x⟩
#align real.surj_on_log Real.surjOn_log
theorem log_surjective : Surjective log := fun x => ⟨exp x, log_exp x⟩
#align real.log_surjective Real.log_surjective
@[simp]
theorem range_log : range log = univ :=
log_surjective.range_eq
#align real.range_log Real.range_log
@[simp]
theorem log_zero : log 0 = 0 :=
dif_pos rfl
#align real.log_zero Real.log_zero
@[simp]
theorem log_one : log 1 = 0 :=
exp_injective <| by rw [exp_log zero_lt_one, exp_zero]
#align real.log_one Real.log_one
@[simp]
theorem log_abs (x : ℝ) : log |x| = log x := by
by_cases h : x = 0
· simp [h]
· rw [← exp_eq_exp, exp_log_eq_abs h, exp_log_eq_abs (abs_pos.2 h).ne', abs_abs]
#align real.log_abs Real.log_abs
@[simp]
theorem log_neg_eq_log (x : ℝ) : log (-x) = log x := by rw [← log_abs x, ← log_abs (-x), abs_neg]
#align real.log_neg_eq_log Real.log_neg_eq_log
theorem sinh_log {x : ℝ} (hx : 0 < x) : sinh (log x) = (x - x⁻¹) / 2 := by
rw [sinh_eq, exp_neg, exp_log hx]
#align real.sinh_log Real.sinh_log
theorem cosh_log {x : ℝ} (hx : 0 < x) : cosh (log x) = (x + x⁻¹) / 2 := by
rw [cosh_eq, exp_neg, exp_log hx]
#align real.cosh_log Real.cosh_log
theorem surjOn_log' : SurjOn log (Iio 0) univ := fun x _ =>
⟨-exp x, neg_lt_zero.2 <| exp_pos x, by rw [log_neg_eq_log, log_exp]⟩
#align real.surj_on_log' Real.surjOn_log'
theorem log_mul (hx : x ≠ 0) (hy : y ≠ 0) : log (x * y) = log x + log y :=
exp_injective <| by
rw [exp_log_eq_abs (mul_ne_zero hx hy), exp_add, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_mul]
#align real.log_mul Real.log_mul
theorem log_div (hx : x ≠ 0) (hy : y ≠ 0) : log (x / y) = log x - log y :=
exp_injective <| by
rw [exp_log_eq_abs (div_ne_zero hx hy), exp_sub, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_div]
#align real.log_div Real.log_div
@[simp]
theorem log_inv (x : ℝ) : log x⁻¹ = -log x := by
by_cases hx : x = 0; · simp [hx]
rw [← exp_eq_exp, exp_log_eq_abs (inv_ne_zero hx), exp_neg, exp_log_eq_abs hx, abs_inv]
#align real.log_inv Real.log_inv
theorem log_le_log_iff (h : 0 < x) (h₁ : 0 < y) : log x ≤ log y ↔ x ≤ y := by
rw [← exp_le_exp, exp_log h, exp_log h₁]
#align real.log_le_log Real.log_le_log_iff
@[gcongr]
lemma log_le_log (hx : 0 < x) (hxy : x ≤ y) : log x ≤ log y :=
(log_le_log_iff hx (hx.trans_le hxy)).2 hxy
@[gcongr]
theorem log_lt_log (hx : 0 < x) (h : x < y) : log x < log y := by
rwa [← exp_lt_exp, exp_log hx, exp_log (lt_trans hx h)]
#align real.log_lt_log Real.log_lt_log
theorem log_lt_log_iff (hx : 0 < x) (hy : 0 < y) : log x < log y ↔ x < y := by
rw [← exp_lt_exp, exp_log hx, exp_log hy]
#align real.log_lt_log_iff Real.log_lt_log_iff
theorem log_le_iff_le_exp (hx : 0 < x) : log x ≤ y ↔ x ≤ exp y := by rw [← exp_le_exp, exp_log hx]
#align real.log_le_iff_le_exp Real.log_le_iff_le_exp
theorem log_lt_iff_lt_exp (hx : 0 < x) : log x < y ↔ x < exp y := by rw [← exp_lt_exp, exp_log hx]
#align real.log_lt_iff_lt_exp Real.log_lt_iff_lt_exp
theorem le_log_iff_exp_le (hy : 0 < y) : x ≤ log y ↔ exp x ≤ y := by rw [← exp_le_exp, exp_log hy]
#align real.le_log_iff_exp_le Real.le_log_iff_exp_le
theorem lt_log_iff_exp_lt (hy : 0 < y) : x < log y ↔ exp x < y := by rw [← exp_lt_exp, exp_log hy]
#align real.lt_log_iff_exp_lt Real.lt_log_iff_exp_lt
theorem log_pos_iff (hx : 0 < x) : 0 < log x ↔ 1 < x := by
rw [← log_one]
exact log_lt_log_iff zero_lt_one hx
#align real.log_pos_iff Real.log_pos_iff
theorem log_pos (hx : 1 < x) : 0 < log x :=
(log_pos_iff (lt_trans zero_lt_one hx)).2 hx
#align real.log_pos Real.log_pos
theorem log_pos_of_lt_neg_one (hx : x < -1) : 0 < log x := by
rw [← neg_neg x, log_neg_eq_log]
have : 1 < -x := by linarith
exact log_pos this
theorem log_neg_iff (h : 0 < x) : log x < 0 ↔ x < 1 := by
rw [← log_one]
exact log_lt_log_iff h zero_lt_one
#align real.log_neg_iff Real.log_neg_iff
theorem log_neg (h0 : 0 < x) (h1 : x < 1) : log x < 0 :=
(log_neg_iff h0).2 h1
#align real.log_neg Real.log_neg
| Mathlib/Analysis/SpecialFunctions/Log/Basic.lean | 194 | 198 | theorem log_neg_of_lt_zero (h0 : x < 0) (h1 : -1 < x) : log x < 0 := by |
rw [← neg_neg x, log_neg_eq_log]
have h0' : 0 < -x := by linarith
have h1' : -x < 1 := by linarith
exact log_neg h0' h1'
|
import Mathlib.Algebra.Order.Ring.Abs
#align_import data.int.order.lemmas from "leanprover-community/mathlib"@"fc2ed6f838ce7c9b7c7171e58d78eaf7b438fb0e"
open Function Nat
namespace Int
variable {a b : ℤ} {n : ℕ}
| Mathlib/Data/Int/Order/Lemmas.lean | 28 | 30 | theorem natAbs_eq_iff_mul_self_eq {a b : ℤ} : a.natAbs = b.natAbs ↔ a * a = b * b := by |
rw [← abs_eq_iff_mul_self_eq, abs_eq_natAbs, abs_eq_natAbs]
exact Int.natCast_inj.symm
|
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
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 _ _
#align category_theory.is_coprod_iff_is_pushout CategoryTheory.is_coprod_iff_isPushout
theorem IsPushout.isVanKampen_inl {W E X Z : C} (c : BinaryCofan W E) [FinitaryExtensive C]
[HasPullbacks C] (hc : IsColimit c) (f : W ⟶ X) (h : X ⟶ Z) (i : c.pt ⟶ Z)
(H : IsPushout f c.inl h i) : H.IsVanKampen := by
obtain ⟨hc₁⟩ := (is_coprod_iff_isPushout c hc H.1).mpr H
introv W' hf hg hh hi w
obtain ⟨hc₂⟩ := ((BinaryCofan.isVanKampen_iff _).mp (FinitaryExtensive.vanKampen c hc)
(BinaryCofan.mk _ pullback.fst) _ _ _ hg.w.symm pullback.condition.symm).mpr
⟨hg, IsPullback.of_hasPullback αY c.inr⟩
refine (is_coprod_iff_isPushout _ hc₂ w).symm.trans ?_
refine ((BinaryCofan.isVanKampen_iff _).mp (FinitaryExtensive.vanKampen _ hc₁)
(BinaryCofan.mk _ _) pullback.snd _ _ ?_ hh.w.symm).trans ?_
· dsimp; rw [← pullback.condition_assoc, Category.assoc, hi.w]
constructor
· rintro ⟨hc₃, hc₄⟩
refine ⟨hc₄, ?_⟩
let Y'' := pullback αZ i
let cmp : Y' ⟶ Y'' := pullback.lift i' αY hi.w
have e₁ : (g' ≫ cmp) ≫ pullback.snd = αW ≫ c.inl := by
rw [Category.assoc, pullback.lift_snd, hg.w]
have e₂ : (pullback.fst ≫ cmp : pullback αY c.inr ⟶ _) ≫ pullback.snd = pullback.snd ≫ c.inr :=
by rw [Category.assoc, pullback.lift_snd, pullback.condition]
obtain ⟨hc₄⟩ := ((BinaryCofan.isVanKampen_iff _).mp (FinitaryExtensive.vanKampen c hc)
(BinaryCofan.mk _ _) αW _ _ e₁.symm e₂.symm).mpr <| by
constructor
· apply IsPullback.of_right _ e₁ (IsPullback.of_hasPullback _ _)
rw [Category.assoc, pullback.lift_fst, ← H.w, ← w.w]; exact hf.paste_horiz hc₄
· apply IsPullback.of_right _ e₂ (IsPullback.of_hasPullback _ _)
rw [Category.assoc, pullback.lift_fst]; exact hc₃
rw [← Category.id_comp αZ, ← show cmp ≫ pullback.snd = αY from pullback.lift_snd _ _ _]
apply IsPullback.paste_vert _ (IsPullback.of_hasPullback αZ i)
have : cmp = (hc₂.coconePointUniqueUpToIso hc₄).hom := by
apply BinaryCofan.IsColimit.hom_ext hc₂
exacts [(hc₂.comp_coconePointUniqueUpToIso_hom hc₄ ⟨WalkingPair.left⟩).symm,
(hc₂.comp_coconePointUniqueUpToIso_hom hc₄ ⟨WalkingPair.right⟩).symm]
rw [this]
exact IsPullback.of_vert_isIso ⟨by rw [← this, Category.comp_id, pullback.lift_fst]⟩
· rintro ⟨hc₃, hc₄⟩
exact ⟨(IsPullback.of_hasPullback αY c.inr).paste_horiz hc₄, hc₃⟩
#align category_theory.is_pushout.is_van_kampen_inl CategoryTheory.IsPushout.isVanKampen_inl
theorem IsPushout.IsVanKampen.isPullback_of_mono_left [Mono f] {H : IsPushout f g h i}
(H' : H.IsVanKampen) : IsPullback f g h i :=
((H' (𝟙 _) g g (𝟙 Y) (𝟙 _) f (𝟙 _) i (IsKernelPair.id_of_mono f)
(IsPullback.of_vert_isIso ⟨by simp⟩) H.1.flip ⟨rfl⟩ ⟨by simp⟩).mp
(IsPushout.of_horiz_isIso ⟨by simp⟩)).1.flip
#align category_theory.is_pushout.is_van_kampen.is_pullback_of_mono_left CategoryTheory.IsPushout.IsVanKampen.isPullback_of_mono_left
theorem IsPushout.IsVanKampen.isPullback_of_mono_right [Mono g] {H : IsPushout f g h i}
(H' : H.IsVanKampen) : IsPullback f g h i :=
((H' f (𝟙 _) (𝟙 _) f (𝟙 _) (𝟙 _) g h (IsPullback.of_vert_isIso ⟨by simp⟩)
(IsKernelPair.id_of_mono g) ⟨rfl⟩ H.1 ⟨by simp⟩).mp
(IsPushout.of_vert_isIso ⟨by simp⟩)).2
#align category_theory.is_pushout.is_van_kampen.is_pullback_of_mono_right CategoryTheory.IsPushout.IsVanKampen.isPullback_of_mono_right
theorem IsPushout.IsVanKampen.mono_of_mono_left [Mono f] {H : IsPushout f g h i}
(H' : H.IsVanKampen) : Mono i :=
IsKernelPair.mono_of_isIso_fst
((H' (𝟙 _) g g (𝟙 Y) (𝟙 _) f (𝟙 _) i (IsKernelPair.id_of_mono f)
(IsPullback.of_vert_isIso ⟨by simp⟩) H.1.flip ⟨rfl⟩ ⟨by simp⟩).mp
(IsPushout.of_horiz_isIso ⟨by simp⟩)).2
#align category_theory.is_pushout.is_van_kampen.mono_of_mono_left CategoryTheory.IsPushout.IsVanKampen.mono_of_mono_left
theorem IsPushout.IsVanKampen.mono_of_mono_right [Mono g] {H : IsPushout f g h i}
(H' : H.IsVanKampen) : Mono h :=
IsKernelPair.mono_of_isIso_fst
((H' f (𝟙 _) (𝟙 _) f (𝟙 _) (𝟙 _) g h (IsPullback.of_vert_isIso ⟨by simp⟩)
(IsKernelPair.id_of_mono g) ⟨rfl⟩ H.1 ⟨by simp⟩).mp
(IsPushout.of_vert_isIso ⟨by simp⟩)).1
#align category_theory.is_pushout.is_van_kampen.mono_of_mono_right CategoryTheory.IsPushout.IsVanKampen.mono_of_mono_right
class Adhesive (C : Type u) [Category.{v} C] : Prop where
[hasPullback_of_mono_left : ∀ {X Y S : C} (f : X ⟶ S) (g : Y ⟶ S) [Mono f], HasPullback f g]
[hasPushout_of_mono_left : ∀ {X Y S : C} (f : S ⟶ X) (g : S ⟶ Y) [Mono f], HasPushout f g]
van_kampen : ∀ {W X Y Z : C} {f : W ⟶ X} {g : W ⟶ Y} {h : X ⟶ Z} {i : Y ⟶ Z} [Mono f]
(H : IsPushout f g h i), H.IsVanKampen
#align category_theory.adhesive CategoryTheory.Adhesive
attribute [instance] Adhesive.hasPullback_of_mono_left Adhesive.hasPushout_of_mono_left
theorem Adhesive.van_kampen' [Adhesive C] [Mono g] (H : IsPushout f g h i) : H.IsVanKampen :=
(Adhesive.van_kampen H.flip).flip
#align category_theory.adhesive.van_kampen' CategoryTheory.Adhesive.van_kampen'
theorem Adhesive.isPullback_of_isPushout_of_mono_left [Adhesive C] (H : IsPushout f g h i)
[Mono f] : IsPullback f g h i :=
(Adhesive.van_kampen H).isPullback_of_mono_left
#align category_theory.adhesive.is_pullback_of_is_pushout_of_mono_left CategoryTheory.Adhesive.isPullback_of_isPushout_of_mono_left
theorem Adhesive.isPullback_of_isPushout_of_mono_right [Adhesive C] (H : IsPushout f g h i)
[Mono g] : IsPullback f g h i :=
(Adhesive.van_kampen' H).isPullback_of_mono_right
#align category_theory.adhesive.is_pullback_of_is_pushout_of_mono_right CategoryTheory.Adhesive.isPullback_of_isPushout_of_mono_right
theorem Adhesive.mono_of_isPushout_of_mono_left [Adhesive C] (H : IsPushout f g h i) [Mono f] :
Mono i :=
(Adhesive.van_kampen H).mono_of_mono_left
#align category_theory.adhesive.mono_of_is_pushout_of_mono_left CategoryTheory.Adhesive.mono_of_isPushout_of_mono_left
theorem Adhesive.mono_of_isPushout_of_mono_right [Adhesive C] (H : IsPushout f g h i) [Mono g] :
Mono h :=
(Adhesive.van_kampen' H).mono_of_mono_right
#align category_theory.adhesive.mono_of_is_pushout_of_mono_right CategoryTheory.Adhesive.mono_of_isPushout_of_mono_right
instance Type.adhesive : Adhesive (Type u) :=
⟨fun {_ _ _ _ f _ _ _ _} H =>
(IsPushout.isVanKampen_inl _ (Types.isCoprodOfMono f) _ _ _ H.flip).flip⟩
#align category_theory.type.adhesive CategoryTheory.Type.adhesive
noncomputable instance (priority := 100) Adhesive.toRegularMonoCategory [Adhesive C] :
RegularMonoCategory C :=
⟨fun f _ =>
{ Z := pushout f f
left := pushout.inl
right := pushout.inr
w := pushout.condition
isLimit := (Adhesive.isPullback_of_isPushout_of_mono_left
(IsPushout.of_hasPushout f f)).isLimitFork }⟩
#align category_theory.adhesive.to_regular_mono_category CategoryTheory.Adhesive.toRegularMonoCategory
-- This then implies that adhesive categories are balanced
example [Adhesive C] : Balanced C :=
inferInstance
section functor
universe v'' u''
variable {D : Type u''} [Category.{v''} D]
instance adhesive_functor [Adhesive C] [HasPullbacks C] [HasPushouts C] :
Adhesive (D ⥤ C) := by
constructor
intros W X Y Z f g h i hf H
rw [IsPushout.isVanKampen_iff]
apply isVanKampenColimit_of_evaluation
intro x
refine (IsVanKampenColimit.precompose_isIso_iff (diagramIsoSpan _).inv).mp ?_
refine IsVanKampenColimit.of_iso ?_ (PushoutCocone.isoMk _).symm
refine (IsPushout.isVanKampen_iff (H.map ((evaluation _ _).obj x))).mp ?_
apply Adhesive.van_kampen
theorem adhesive_of_preserves_and_reflects (F : C ⥤ D) [Adhesive D]
[H₁ : ∀ {X Y S : C} (f : X ⟶ S) (g : Y ⟶ S) [Mono f], HasPullback f g]
[H₂ : ∀ {X Y S : C} (f : S ⟶ X) (g : S ⟶ Y) [Mono f], HasPushout f g]
[PreservesLimitsOfShape WalkingCospan F]
[ReflectsLimitsOfShape WalkingCospan F]
[PreservesColimitsOfShape WalkingSpan F]
[ReflectsColimitsOfShape WalkingSpan F] :
Adhesive C := by
apply Adhesive.mk (hasPullback_of_mono_left := H₁) (hasPushout_of_mono_left := H₂)
intros W X Y Z f g h i hf H
rw [IsPushout.isVanKampen_iff]
refine IsVanKampenColimit.of_mapCocone F ?_
refine (IsVanKampenColimit.precompose_isIso_iff (diagramIsoSpan _).inv).mp ?_
refine IsVanKampenColimit.of_iso ?_ (PushoutCocone.isoMk _).symm
refine (IsPushout.isVanKampen_iff (H.map F)).mp ?_
apply Adhesive.van_kampen
theorem adhesive_of_preserves_and_reflects_isomorphism (F : C ⥤ D)
[Adhesive D] [HasPullbacks C] [HasPushouts C]
[PreservesLimitsOfShape WalkingCospan F]
[PreservesColimitsOfShape WalkingSpan F]
[F.ReflectsIsomorphisms] :
Adhesive C := by
haveI : ReflectsLimitsOfShape WalkingCospan F :=
reflectsLimitsOfShapeOfReflectsIsomorphisms
haveI : ReflectsColimitsOfShape WalkingSpan F :=
reflectsColimitsOfShapeOfReflectsIsomorphisms
exact adhesive_of_preserves_and_reflects F
| Mathlib/CategoryTheory/Adhesive.lean | 318 | 334 | theorem adhesive_of_reflective [HasPullbacks D] [Adhesive C] [HasPullbacks C] [HasPushouts C]
[H₂ : ∀ {X Y S : D} (f : S ⟶ X) (g : S ⟶ Y) [Mono f], HasPushout f g]
{Gl : C ⥤ D} {Gr : D ⥤ C} (adj : Gl ⊣ Gr) [Gr.Full] [Gr.Faithful]
[PreservesLimitsOfShape WalkingCospan Gl] :
Adhesive D := by |
have := adj.leftAdjointPreservesColimits
have := adj.rightAdjointPreservesLimits
apply Adhesive.mk (hasPushout_of_mono_left := H₂)
intro W X Y Z f g h i _ H
have := Adhesive.van_kampen (IsPushout.of_hasPushout (Gr.map f) (Gr.map g))
rw [IsPushout.isVanKampen_iff] at this ⊢
refine (IsVanKampenColimit.precompose_isIso_iff
(isoWhiskerLeft _ (asIso adj.counit) ≪≫ Functor.rightUnitor _).hom).mp ?_
refine ((this.precompose_isIso (spanCompIso _ _ _).hom).map_reflective adj).of_iso
(IsColimit.uniqueUpToIso ?_ ?_)
· exact isColimitOfPreserves Gl ((IsColimit.precomposeHomEquiv _ _).symm <| pushoutIsPushout _ _)
· exact (IsColimit.precomposeHomEquiv _ _).symm H.isColimit
|
import Mathlib.Order.Cover
import Mathlib.Order.Interval.Finset.Defs
#align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d"
assert_not_exists MonoidWithZero
assert_not_exists Finset.sum
open Function OrderDual
open FinsetInterval
variable {ι α : Type*}
namespace Finset
section Preorder
variable [Preorder α]
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α}
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by
rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc]
#align finset.nonempty_Icc Finset.nonempty_Icc
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico]
#align finset.nonempty_Ico Finset.nonempty_Ico
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc]
#align finset.nonempty_Ioc Finset.nonempty_Ioc
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioo, Set.nonempty_Ioo]
#align finset.nonempty_Ioo Finset.nonempty_Ioo
@[simp]
theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by
rw [← coe_eq_empty, coe_Icc, Set.Icc_eq_empty_iff]
#align finset.Icc_eq_empty_iff Finset.Icc_eq_empty_iff
@[simp]
theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ico, Set.Ico_eq_empty_iff]
#align finset.Ico_eq_empty_iff Finset.Ico_eq_empty_iff
@[simp]
theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioc, Set.Ioc_eq_empty_iff]
#align finset.Ioc_eq_empty_iff Finset.Ioc_eq_empty_iff
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem Ioo_eq_empty_iff [DenselyOrdered α] : Ioo a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioo, Set.Ioo_eq_empty_iff]
#align finset.Ioo_eq_empty_iff Finset.Ioo_eq_empty_iff
alias ⟨_, Icc_eq_empty⟩ := Icc_eq_empty_iff
#align finset.Icc_eq_empty Finset.Icc_eq_empty
alias ⟨_, Ico_eq_empty⟩ := Ico_eq_empty_iff
#align finset.Ico_eq_empty Finset.Ico_eq_empty
alias ⟨_, Ioc_eq_empty⟩ := Ioc_eq_empty_iff
#align finset.Ioc_eq_empty Finset.Ioc_eq_empty
@[simp]
theorem Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ hx => h ((mem_Ioo.1 hx).1.trans (mem_Ioo.1 hx).2)
#align finset.Ioo_eq_empty Finset.Ioo_eq_empty
@[simp]
theorem Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ :=
Icc_eq_empty h.not_le
#align finset.Icc_eq_empty_of_lt Finset.Icc_eq_empty_of_lt
@[simp]
theorem Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ :=
Ico_eq_empty h.not_lt
#align finset.Ico_eq_empty_of_le Finset.Ico_eq_empty_of_le
@[simp]
theorem Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ :=
Ioc_eq_empty h.not_lt
#align finset.Ioc_eq_empty_of_le Finset.Ioc_eq_empty_of_le
@[simp]
theorem Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ :=
Ioo_eq_empty h.not_lt
#align finset.Ioo_eq_empty_of_le Finset.Ioo_eq_empty_of_le
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, true_and_iff, le_rfl]
#align finset.left_mem_Icc Finset.left_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp only [mem_Ico, true_and_iff, le_refl]
#align finset.left_mem_Ico Finset.left_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, and_true_iff, le_rfl]
#align finset.right_mem_Icc Finset.right_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by simp only [mem_Ioc, and_true_iff, le_rfl]
#align finset.right_mem_Ioc Finset.right_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioc : a ∉ Ioc a b := fun h => lt_irrefl _ (mem_Ioc.1 h).1
#align finset.left_not_mem_Ioc Finset.left_not_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioo : a ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).1
#align finset.left_not_mem_Ioo Finset.left_not_mem_Ioo
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ico : b ∉ Ico a b := fun h => lt_irrefl _ (mem_Ico.1 h).2
#align finset.right_not_mem_Ico Finset.right_not_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ioo : b ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).2
#align finset.right_not_mem_Ioo Finset.right_not_mem_Ioo
theorem Icc_subset_Icc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Icc a₁ b₁ ⊆ Icc a₂ b₂ := by
simpa [← coe_subset] using Set.Icc_subset_Icc ha hb
#align finset.Icc_subset_Icc Finset.Icc_subset_Icc
theorem Ico_subset_Ico (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ico a₁ b₁ ⊆ Ico a₂ b₂ := by
simpa [← coe_subset] using Set.Ico_subset_Ico ha hb
#align finset.Ico_subset_Ico Finset.Ico_subset_Ico
theorem Ioc_subset_Ioc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioc a₁ b₁ ⊆ Ioc a₂ b₂ := by
simpa [← coe_subset] using Set.Ioc_subset_Ioc ha hb
#align finset.Ioc_subset_Ioc Finset.Ioc_subset_Ioc
theorem Ioo_subset_Ioo (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioo a₁ b₁ ⊆ Ioo a₂ b₂ := by
simpa [← coe_subset] using Set.Ioo_subset_Ioo ha hb
#align finset.Ioo_subset_Ioo Finset.Ioo_subset_Ioo
theorem Icc_subset_Icc_left (h : a₁ ≤ a₂) : Icc a₂ b ⊆ Icc a₁ b :=
Icc_subset_Icc h le_rfl
#align finset.Icc_subset_Icc_left Finset.Icc_subset_Icc_left
theorem Ico_subset_Ico_left (h : a₁ ≤ a₂) : Ico a₂ b ⊆ Ico a₁ b :=
Ico_subset_Ico h le_rfl
#align finset.Ico_subset_Ico_left Finset.Ico_subset_Ico_left
theorem Ioc_subset_Ioc_left (h : a₁ ≤ a₂) : Ioc a₂ b ⊆ Ioc a₁ b :=
Ioc_subset_Ioc h le_rfl
#align finset.Ioc_subset_Ioc_left Finset.Ioc_subset_Ioc_left
theorem Ioo_subset_Ioo_left (h : a₁ ≤ a₂) : Ioo a₂ b ⊆ Ioo a₁ b :=
Ioo_subset_Ioo h le_rfl
#align finset.Ioo_subset_Ioo_left Finset.Ioo_subset_Ioo_left
theorem Icc_subset_Icc_right (h : b₁ ≤ b₂) : Icc a b₁ ⊆ Icc a b₂ :=
Icc_subset_Icc le_rfl h
#align finset.Icc_subset_Icc_right Finset.Icc_subset_Icc_right
theorem Ico_subset_Ico_right (h : b₁ ≤ b₂) : Ico a b₁ ⊆ Ico a b₂ :=
Ico_subset_Ico le_rfl h
#align finset.Ico_subset_Ico_right Finset.Ico_subset_Ico_right
theorem Ioc_subset_Ioc_right (h : b₁ ≤ b₂) : Ioc a b₁ ⊆ Ioc a b₂ :=
Ioc_subset_Ioc le_rfl h
#align finset.Ioc_subset_Ioc_right Finset.Ioc_subset_Ioc_right
theorem Ioo_subset_Ioo_right (h : b₁ ≤ b₂) : Ioo a b₁ ⊆ Ioo a b₂ :=
Ioo_subset_Ioo le_rfl h
#align finset.Ioo_subset_Ioo_right Finset.Ioo_subset_Ioo_right
theorem Ico_subset_Ioo_left (h : a₁ < a₂) : Ico a₂ b ⊆ Ioo a₁ b := by
rw [← coe_subset, coe_Ico, coe_Ioo]
exact Set.Ico_subset_Ioo_left h
#align finset.Ico_subset_Ioo_left Finset.Ico_subset_Ioo_left
theorem Ioc_subset_Ioo_right (h : b₁ < b₂) : Ioc a b₁ ⊆ Ioo a b₂ := by
rw [← coe_subset, coe_Ioc, coe_Ioo]
exact Set.Ioc_subset_Ioo_right h
#align finset.Ioc_subset_Ioo_right Finset.Ioc_subset_Ioo_right
theorem Icc_subset_Ico_right (h : b₁ < b₂) : Icc a b₁ ⊆ Ico a b₂ := by
rw [← coe_subset, coe_Icc, coe_Ico]
exact Set.Icc_subset_Ico_right h
#align finset.Icc_subset_Ico_right Finset.Icc_subset_Ico_right
theorem Ioo_subset_Ico_self : Ioo a b ⊆ Ico a b := by
rw [← coe_subset, coe_Ioo, coe_Ico]
exact Set.Ioo_subset_Ico_self
#align finset.Ioo_subset_Ico_self Finset.Ioo_subset_Ico_self
theorem Ioo_subset_Ioc_self : Ioo a b ⊆ Ioc a b := by
rw [← coe_subset, coe_Ioo, coe_Ioc]
exact Set.Ioo_subset_Ioc_self
#align finset.Ioo_subset_Ioc_self Finset.Ioo_subset_Ioc_self
theorem Ico_subset_Icc_self : Ico a b ⊆ Icc a b := by
rw [← coe_subset, coe_Ico, coe_Icc]
exact Set.Ico_subset_Icc_self
#align finset.Ico_subset_Icc_self Finset.Ico_subset_Icc_self
theorem Ioc_subset_Icc_self : Ioc a b ⊆ Icc a b := by
rw [← coe_subset, coe_Ioc, coe_Icc]
exact Set.Ioc_subset_Icc_self
#align finset.Ioc_subset_Icc_self Finset.Ioc_subset_Icc_self
theorem Ioo_subset_Icc_self : Ioo a b ⊆ Icc a b :=
Ioo_subset_Ico_self.trans Ico_subset_Icc_self
#align finset.Ioo_subset_Icc_self Finset.Ioo_subset_Icc_self
theorem Icc_subset_Icc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Icc a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ := by
rw [← coe_subset, coe_Icc, coe_Icc, Set.Icc_subset_Icc_iff h₁]
#align finset.Icc_subset_Icc_iff Finset.Icc_subset_Icc_iff
theorem Icc_subset_Ioo_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioo a₂ b₂ ↔ a₂ < a₁ ∧ b₁ < b₂ := by
rw [← coe_subset, coe_Icc, coe_Ioo, Set.Icc_subset_Ioo_iff h₁]
#align finset.Icc_subset_Ioo_iff Finset.Icc_subset_Ioo_iff
theorem Icc_subset_Ico_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ico a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ < b₂ := by
rw [← coe_subset, coe_Icc, coe_Ico, Set.Icc_subset_Ico_iff h₁]
#align finset.Icc_subset_Ico_iff Finset.Icc_subset_Ico_iff
theorem Icc_subset_Ioc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioc a₂ b₂ ↔ a₂ < a₁ ∧ b₁ ≤ b₂ :=
(Icc_subset_Ico_iff h₁.dual).trans and_comm
#align finset.Icc_subset_Ioc_iff Finset.Icc_subset_Ioc_iff
--TODO: `Ico_subset_Ioo_iff`, `Ioc_subset_Ioo_iff`
theorem Icc_ssubset_Icc_left (hI : a₂ ≤ b₂) (ha : a₂ < a₁) (hb : b₁ ≤ b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ := by
rw [← coe_ssubset, coe_Icc, coe_Icc]
exact Set.Icc_ssubset_Icc_left hI ha hb
#align finset.Icc_ssubset_Icc_left Finset.Icc_ssubset_Icc_left
theorem Icc_ssubset_Icc_right (hI : a₂ ≤ b₂) (ha : a₂ ≤ a₁) (hb : b₁ < b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ := by
rw [← coe_ssubset, coe_Icc, coe_Icc]
exact Set.Icc_ssubset_Icc_right hI ha hb
#align finset.Icc_ssubset_Icc_right Finset.Icc_ssubset_Icc_right
variable (a)
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ico_self : Ico a a = ∅ :=
Ico_eq_empty <| lt_irrefl _
#align finset.Ico_self Finset.Ico_self
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ioc_self : Ioc a a = ∅ :=
Ioc_eq_empty <| lt_irrefl _
#align finset.Ioc_self Finset.Ioc_self
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ioo_self : Ioo a a = ∅ :=
Ioo_eq_empty <| lt_irrefl _
#align finset.Ioo_self Finset.Ioo_self
variable {a}
def _root_.Set.fintypeOfMemBounds {s : Set α} [DecidablePred (· ∈ s)] (ha : a ∈ lowerBounds s)
(hb : b ∈ upperBounds s) : Fintype s :=
Set.fintypeSubset (Set.Icc a b) fun _ hx => ⟨ha hx, hb hx⟩
#align set.fintype_of_mem_bounds Set.fintypeOfMemBounds
section LocallyFiniteOrderTop
variable [LocallyFiniteOrderTop α]
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
lemma nonempty_Ici : (Ici a).Nonempty := ⟨a, mem_Ici.2 le_rfl⟩
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
lemma nonempty_Ioi : (Ioi a).Nonempty ↔ ¬ IsMax a := by simp [Finset.Nonempty]
theorem Icc_subset_Ici_self : Icc a b ⊆ Ici a := by
simpa [← coe_subset] using Set.Icc_subset_Ici_self
#align finset.Icc_subset_Ici_self Finset.Icc_subset_Ici_self
| Mathlib/Order/Interval/Finset/Basic.lean | 408 | 409 | theorem Ico_subset_Ici_self : Ico a b ⊆ Ici a := by |
simpa [← coe_subset] using Set.Ico_subset_Ici_self
|
import Mathlib.Probability.ConditionalProbability
import Mathlib.MeasureTheory.Measure.Count
#align_import probability.cond_count from "leanprover-community/mathlib"@"117e93f82b5f959f8193857370109935291f0cc4"
noncomputable section
open ProbabilityTheory
open MeasureTheory MeasurableSpace
namespace ProbabilityTheory
variable {Ω : Type*} [MeasurableSpace Ω]
def condCount (s : Set Ω) : Measure Ω :=
Measure.count[|s]
#align probability_theory.cond_count ProbabilityTheory.condCount
@[simp]
theorem condCount_empty_meas : (condCount ∅ : Measure Ω) = 0 := by simp [condCount]
#align probability_theory.cond_count_empty_meas ProbabilityTheory.condCount_empty_meas
theorem condCount_empty {s : Set Ω} : condCount s ∅ = 0 := by simp
#align probability_theory.cond_count_empty ProbabilityTheory.condCount_empty
theorem finite_of_condCount_ne_zero {s t : Set Ω} (h : condCount s t ≠ 0) : s.Finite := by
by_contra hs'
simp [condCount, cond, Measure.count_apply_infinite hs'] at h
#align probability_theory.finite_of_cond_count_ne_zero ProbabilityTheory.finite_of_condCount_ne_zero
| Mathlib/Probability/CondCount.lean | 70 | 76 | theorem condCount_univ [Fintype Ω] {s : Set Ω} :
condCount Set.univ s = Measure.count s / Fintype.card Ω := by |
rw [condCount, cond_apply _ MeasurableSet.univ, ← ENNReal.div_eq_inv_mul, Set.univ_inter]
congr
rw [← Finset.coe_univ, Measure.count_apply, Finset.univ.tsum_subtype' fun _ => (1 : ENNReal)]
· simp [Finset.card_univ]
· exact (@Finset.coe_univ Ω _).symm ▸ MeasurableSet.univ
|
import Mathlib.Order.RelClasses
import Mathlib.Order.Interval.Set.Basic
#align_import order.bounded from "leanprover-community/mathlib"@"aba57d4d3dae35460225919dcd82fe91355162f9"
namespace Set
variable {α : Type*} {r : α → α → Prop} {s t : Set α}
theorem Bounded.mono (hst : s ⊆ t) (hs : Bounded r t) : Bounded r s :=
hs.imp fun _ ha b hb => ha b (hst hb)
#align set.bounded.mono Set.Bounded.mono
theorem Unbounded.mono (hst : s ⊆ t) (hs : Unbounded r s) : Unbounded r t := fun a =>
let ⟨b, hb, hb'⟩ := hs a
⟨b, hst hb, hb'⟩
#align set.unbounded.mono Set.Unbounded.mono
theorem unbounded_le_of_forall_exists_lt [Preorder α] (h : ∀ a, ∃ b ∈ s, a < b) :
Unbounded (· ≤ ·) s := fun a =>
let ⟨b, hb, hb'⟩ := h a
⟨b, hb, fun hba => hba.not_lt hb'⟩
#align set.unbounded_le_of_forall_exists_lt Set.unbounded_le_of_forall_exists_lt
theorem unbounded_le_iff [LinearOrder α] : Unbounded (· ≤ ·) s ↔ ∀ a, ∃ b ∈ s, a < b := by
simp only [Unbounded, not_le]
#align set.unbounded_le_iff Set.unbounded_le_iff
theorem unbounded_lt_of_forall_exists_le [Preorder α] (h : ∀ a, ∃ b ∈ s, a ≤ b) :
Unbounded (· < ·) s := fun a =>
let ⟨b, hb, hb'⟩ := h a
⟨b, hb, fun hba => hba.not_le hb'⟩
#align set.unbounded_lt_of_forall_exists_le Set.unbounded_lt_of_forall_exists_le
theorem unbounded_lt_iff [LinearOrder α] : Unbounded (· < ·) s ↔ ∀ a, ∃ b ∈ s, a ≤ b := by
simp only [Unbounded, not_lt]
#align set.unbounded_lt_iff Set.unbounded_lt_iff
theorem unbounded_ge_of_forall_exists_gt [Preorder α] (h : ∀ a, ∃ b ∈ s, b < a) :
Unbounded (· ≥ ·) s :=
@unbounded_le_of_forall_exists_lt αᵒᵈ _ _ h
#align set.unbounded_ge_of_forall_exists_gt Set.unbounded_ge_of_forall_exists_gt
theorem unbounded_ge_iff [LinearOrder α] : Unbounded (· ≥ ·) s ↔ ∀ a, ∃ b ∈ s, b < a :=
⟨fun h a =>
let ⟨b, hb, hba⟩ := h a
⟨b, hb, lt_of_not_ge hba⟩,
unbounded_ge_of_forall_exists_gt⟩
#align set.unbounded_ge_iff Set.unbounded_ge_iff
theorem unbounded_gt_of_forall_exists_ge [Preorder α] (h : ∀ a, ∃ b ∈ s, b ≤ a) :
Unbounded (· > ·) s := fun a =>
let ⟨b, hb, hb'⟩ := h a
⟨b, hb, fun hba => not_le_of_gt hba hb'⟩
#align set.unbounded_gt_of_forall_exists_ge Set.unbounded_gt_of_forall_exists_ge
theorem unbounded_gt_iff [LinearOrder α] : Unbounded (· > ·) s ↔ ∀ a, ∃ b ∈ s, b ≤ a :=
⟨fun h a =>
let ⟨b, hb, hba⟩ := h a
⟨b, hb, le_of_not_gt hba⟩,
unbounded_gt_of_forall_exists_ge⟩
#align set.unbounded_gt_iff Set.unbounded_gt_iff
theorem Bounded.rel_mono {r' : α → α → Prop} (h : Bounded r s) (hrr' : r ≤ r') : Bounded r' s :=
let ⟨a, ha⟩ := h
⟨a, fun b hb => hrr' b a (ha b hb)⟩
#align set.bounded.rel_mono Set.Bounded.rel_mono
theorem bounded_le_of_bounded_lt [Preorder α] (h : Bounded (· < ·) s) : Bounded (· ≤ ·) s :=
h.rel_mono fun _ _ => le_of_lt
#align set.bounded_le_of_bounded_lt Set.bounded_le_of_bounded_lt
theorem Unbounded.rel_mono {r' : α → α → Prop} (hr : r' ≤ r) (h : Unbounded r s) : Unbounded r' s :=
fun a =>
let ⟨b, hb, hba⟩ := h a
⟨b, hb, fun hba' => hba (hr b a hba')⟩
#align set.unbounded.rel_mono Set.Unbounded.rel_mono
theorem unbounded_lt_of_unbounded_le [Preorder α] (h : Unbounded (· ≤ ·) s) : Unbounded (· < ·) s :=
h.rel_mono fun _ _ => le_of_lt
#align set.unbounded_lt_of_unbounded_le Set.unbounded_lt_of_unbounded_le
theorem bounded_le_iff_bounded_lt [Preorder α] [NoMaxOrder α] :
Bounded (· ≤ ·) s ↔ Bounded (· < ·) s := by
refine ⟨fun h => ?_, bounded_le_of_bounded_lt⟩
cases' h with a ha
cases' exists_gt a with b hb
exact ⟨b, fun c hc => lt_of_le_of_lt (ha c hc) hb⟩
#align set.bounded_le_iff_bounded_lt Set.bounded_le_iff_bounded_lt
theorem unbounded_lt_iff_unbounded_le [Preorder α] [NoMaxOrder α] :
Unbounded (· < ·) s ↔ Unbounded (· ≤ ·) s := by
simp_rw [← not_bounded_iff, bounded_le_iff_bounded_lt]
#align set.unbounded_lt_iff_unbounded_le Set.unbounded_lt_iff_unbounded_le
theorem bounded_ge_of_bounded_gt [Preorder α] (h : Bounded (· > ·) s) : Bounded (· ≥ ·) s :=
let ⟨a, ha⟩ := h
⟨a, fun b hb => le_of_lt (ha b hb)⟩
#align set.bounded_ge_of_bounded_gt Set.bounded_ge_of_bounded_gt
theorem unbounded_gt_of_unbounded_ge [Preorder α] (h : Unbounded (· ≥ ·) s) : Unbounded (· > ·) s :=
fun a =>
let ⟨b, hb, hba⟩ := h a
⟨b, hb, fun hba' => hba (le_of_lt hba')⟩
#align set.unbounded_gt_of_unbounded_ge Set.unbounded_gt_of_unbounded_ge
theorem bounded_ge_iff_bounded_gt [Preorder α] [NoMinOrder α] :
Bounded (· ≥ ·) s ↔ Bounded (· > ·) s :=
@bounded_le_iff_bounded_lt αᵒᵈ _ _ _
#align set.bounded_ge_iff_bounded_gt Set.bounded_ge_iff_bounded_gt
theorem unbounded_gt_iff_unbounded_ge [Preorder α] [NoMinOrder α] :
Unbounded (· > ·) s ↔ Unbounded (· ≥ ·) s :=
@unbounded_lt_iff_unbounded_le αᵒᵈ _ _ _
#align set.unbounded_gt_iff_unbounded_ge Set.unbounded_gt_iff_unbounded_ge
theorem unbounded_le_univ [LE α] [NoTopOrder α] : Unbounded (· ≤ ·) (@Set.univ α) := fun a =>
let ⟨b, hb⟩ := exists_not_le a
⟨b, ⟨⟩, hb⟩
#align set.unbounded_le_univ Set.unbounded_le_univ
theorem unbounded_lt_univ [Preorder α] [NoTopOrder α] : Unbounded (· < ·) (@Set.univ α) :=
unbounded_lt_of_unbounded_le unbounded_le_univ
#align set.unbounded_lt_univ Set.unbounded_lt_univ
theorem unbounded_ge_univ [LE α] [NoBotOrder α] : Unbounded (· ≥ ·) (@Set.univ α) := fun a =>
let ⟨b, hb⟩ := exists_not_ge a
⟨b, ⟨⟩, hb⟩
#align set.unbounded_ge_univ Set.unbounded_ge_univ
theorem unbounded_gt_univ [Preorder α] [NoBotOrder α] : Unbounded (· > ·) (@Set.univ α) :=
unbounded_gt_of_unbounded_ge unbounded_ge_univ
#align set.unbounded_gt_univ Set.unbounded_gt_univ
theorem bounded_self (a : α) : Bounded r { b | r b a } :=
⟨a, fun _ => id⟩
#align set.bounded_self Set.bounded_self
theorem bounded_lt_Iio [Preorder α] (a : α) : Bounded (· < ·) (Iio a) :=
bounded_self a
#align set.bounded_lt_Iio Set.bounded_lt_Iio
theorem bounded_le_Iio [Preorder α] (a : α) : Bounded (· ≤ ·) (Iio a) :=
bounded_le_of_bounded_lt (bounded_lt_Iio a)
#align set.bounded_le_Iio Set.bounded_le_Iio
theorem bounded_le_Iic [Preorder α] (a : α) : Bounded (· ≤ ·) (Iic a) :=
bounded_self a
#align set.bounded_le_Iic Set.bounded_le_Iic
theorem bounded_lt_Iic [Preorder α] [NoMaxOrder α] (a : α) : Bounded (· < ·) (Iic a) := by
simp only [← bounded_le_iff_bounded_lt, bounded_le_Iic]
#align set.bounded_lt_Iic Set.bounded_lt_Iic
theorem bounded_gt_Ioi [Preorder α] (a : α) : Bounded (· > ·) (Ioi a) :=
bounded_self a
#align set.bounded_gt_Ioi Set.bounded_gt_Ioi
theorem bounded_ge_Ioi [Preorder α] (a : α) : Bounded (· ≥ ·) (Ioi a) :=
bounded_ge_of_bounded_gt (bounded_gt_Ioi a)
#align set.bounded_ge_Ioi Set.bounded_ge_Ioi
theorem bounded_ge_Ici [Preorder α] (a : α) : Bounded (· ≥ ·) (Ici a) :=
bounded_self a
#align set.bounded_ge_Ici Set.bounded_ge_Ici
theorem bounded_gt_Ici [Preorder α] [NoMinOrder α] (a : α) : Bounded (· > ·) (Ici a) := by
simp only [← bounded_ge_iff_bounded_gt, bounded_ge_Ici]
#align set.bounded_gt_Ici Set.bounded_gt_Ici
theorem bounded_lt_Ioo [Preorder α] (a b : α) : Bounded (· < ·) (Ioo a b) :=
(bounded_lt_Iio b).mono Set.Ioo_subset_Iio_self
#align set.bounded_lt_Ioo Set.bounded_lt_Ioo
theorem bounded_lt_Ico [Preorder α] (a b : α) : Bounded (· < ·) (Ico a b) :=
(bounded_lt_Iio b).mono Set.Ico_subset_Iio_self
#align set.bounded_lt_Ico Set.bounded_lt_Ico
theorem bounded_lt_Ioc [Preorder α] [NoMaxOrder α] (a b : α) : Bounded (· < ·) (Ioc a b) :=
(bounded_lt_Iic b).mono Set.Ioc_subset_Iic_self
#align set.bounded_lt_Ioc Set.bounded_lt_Ioc
theorem bounded_lt_Icc [Preorder α] [NoMaxOrder α] (a b : α) : Bounded (· < ·) (Icc a b) :=
(bounded_lt_Iic b).mono Set.Icc_subset_Iic_self
#align set.bounded_lt_Icc Set.bounded_lt_Icc
theorem bounded_le_Ioo [Preorder α] (a b : α) : Bounded (· ≤ ·) (Ioo a b) :=
(bounded_le_Iio b).mono Set.Ioo_subset_Iio_self
#align set.bounded_le_Ioo Set.bounded_le_Ioo
theorem bounded_le_Ico [Preorder α] (a b : α) : Bounded (· ≤ ·) (Ico a b) :=
(bounded_le_Iio b).mono Set.Ico_subset_Iio_self
#align set.bounded_le_Ico Set.bounded_le_Ico
theorem bounded_le_Ioc [Preorder α] (a b : α) : Bounded (· ≤ ·) (Ioc a b) :=
(bounded_le_Iic b).mono Set.Ioc_subset_Iic_self
#align set.bounded_le_Ioc Set.bounded_le_Ioc
theorem bounded_le_Icc [Preorder α] (a b : α) : Bounded (· ≤ ·) (Icc a b) :=
(bounded_le_Iic b).mono Set.Icc_subset_Iic_self
#align set.bounded_le_Icc Set.bounded_le_Icc
theorem bounded_gt_Ioo [Preorder α] (a b : α) : Bounded (· > ·) (Ioo a b) :=
(bounded_gt_Ioi a).mono Set.Ioo_subset_Ioi_self
#align set.bounded_gt_Ioo Set.bounded_gt_Ioo
theorem bounded_gt_Ioc [Preorder α] (a b : α) : Bounded (· > ·) (Ioc a b) :=
(bounded_gt_Ioi a).mono Set.Ioc_subset_Ioi_self
#align set.bounded_gt_Ioc Set.bounded_gt_Ioc
theorem bounded_gt_Ico [Preorder α] [NoMinOrder α] (a b : α) : Bounded (· > ·) (Ico a b) :=
(bounded_gt_Ici a).mono Set.Ico_subset_Ici_self
#align set.bounded_gt_Ico Set.bounded_gt_Ico
theorem bounded_gt_Icc [Preorder α] [NoMinOrder α] (a b : α) : Bounded (· > ·) (Icc a b) :=
(bounded_gt_Ici a).mono Set.Icc_subset_Ici_self
#align set.bounded_gt_Icc Set.bounded_gt_Icc
theorem bounded_ge_Ioo [Preorder α] (a b : α) : Bounded (· ≥ ·) (Ioo a b) :=
(bounded_ge_Ioi a).mono Set.Ioo_subset_Ioi_self
#align set.bounded_ge_Ioo Set.bounded_ge_Ioo
theorem bounded_ge_Ioc [Preorder α] (a b : α) : Bounded (· ≥ ·) (Ioc a b) :=
(bounded_ge_Ioi a).mono Set.Ioc_subset_Ioi_self
#align set.bounded_ge_Ioc Set.bounded_ge_Ioc
theorem bounded_ge_Ico [Preorder α] (a b : α) : Bounded (· ≥ ·) (Ico a b) :=
(bounded_ge_Ici a).mono Set.Ico_subset_Ici_self
#align set.bounded_ge_Ico Set.bounded_ge_Ico
theorem bounded_ge_Icc [Preorder α] (a b : α) : Bounded (· ≥ ·) (Icc a b) :=
(bounded_ge_Ici a).mono Set.Icc_subset_Ici_self
#align set.bounded_ge_Icc Set.bounded_ge_Icc
theorem unbounded_le_Ioi [SemilatticeSup α] [NoMaxOrder α] (a : α) :
Unbounded (· ≤ ·) (Ioi a) := fun b =>
let ⟨c, hc⟩ := exists_gt (a ⊔ b)
⟨c, le_sup_left.trans_lt hc, (le_sup_right.trans_lt hc).not_le⟩
#align set.unbounded_le_Ioi Set.unbounded_le_Ioi
theorem unbounded_le_Ici [SemilatticeSup α] [NoMaxOrder α] (a : α) :
Unbounded (· ≤ ·) (Ici a) :=
(unbounded_le_Ioi a).mono Set.Ioi_subset_Ici_self
#align set.unbounded_le_Ici Set.unbounded_le_Ici
theorem unbounded_lt_Ioi [SemilatticeSup α] [NoMaxOrder α] (a : α) :
Unbounded (· < ·) (Ioi a) :=
unbounded_lt_of_unbounded_le (unbounded_le_Ioi a)
#align set.unbounded_lt_Ioi Set.unbounded_lt_Ioi
theorem unbounded_lt_Ici [SemilatticeSup α] (a : α) : Unbounded (· < ·) (Ici a) := fun b =>
⟨a ⊔ b, le_sup_left, le_sup_right.not_lt⟩
#align set.unbounded_lt_Ici Set.unbounded_lt_Ici
theorem bounded_inter_not (H : ∀ a b, ∃ m, ∀ c, r c a ∨ r c b → r c m) (a : α) :
Bounded r (s ∩ { b | ¬r b a }) ↔ Bounded r s := by
refine ⟨?_, Bounded.mono inter_subset_left⟩
rintro ⟨b, hb⟩
cases' H a b with m hm
exact ⟨m, fun c hc => hm c (or_iff_not_imp_left.2 fun hca => hb c ⟨hc, hca⟩)⟩
#align set.bounded_inter_not Set.bounded_inter_not
theorem unbounded_inter_not (H : ∀ a b, ∃ m, ∀ c, r c a ∨ r c b → r c m) (a : α) :
Unbounded r (s ∩ { b | ¬r b a }) ↔ Unbounded r s := by
simp_rw [← not_bounded_iff, bounded_inter_not H]
#align set.unbounded_inter_not Set.unbounded_inter_not
theorem bounded_le_inter_not_le [SemilatticeSup α] (a : α) :
Bounded (· ≤ ·) (s ∩ { b | ¬b ≤ a }) ↔ Bounded (· ≤ ·) s :=
bounded_inter_not (fun x y => ⟨x ⊔ y, fun _ h => h.elim le_sup_of_le_left le_sup_of_le_right⟩) a
#align set.bounded_le_inter_not_le Set.bounded_le_inter_not_le
theorem unbounded_le_inter_not_le [SemilatticeSup α] (a : α) :
Unbounded (· ≤ ·) (s ∩ { b | ¬b ≤ a }) ↔ Unbounded (· ≤ ·) s := by
rw [← not_bounded_iff, ← not_bounded_iff, not_iff_not]
exact bounded_le_inter_not_le a
#align set.unbounded_le_inter_not_le Set.unbounded_le_inter_not_le
theorem bounded_le_inter_lt [LinearOrder α] (a : α) :
Bounded (· ≤ ·) (s ∩ { b | a < b }) ↔ Bounded (· ≤ ·) s := by
simp_rw [← not_le, bounded_le_inter_not_le]
#align set.bounded_le_inter_lt Set.bounded_le_inter_lt
theorem unbounded_le_inter_lt [LinearOrder α] (a : α) :
Unbounded (· ≤ ·) (s ∩ { b | a < b }) ↔ Unbounded (· ≤ ·) s := by
convert @unbounded_le_inter_not_le _ s _ a
exact lt_iff_not_le
#align set.unbounded_le_inter_lt Set.unbounded_le_inter_lt
theorem bounded_le_inter_le [LinearOrder α] (a : α) :
Bounded (· ≤ ·) (s ∩ { b | a ≤ b }) ↔ Bounded (· ≤ ·) s := by
refine ⟨?_, Bounded.mono Set.inter_subset_left⟩
rw [← @bounded_le_inter_lt _ s _ a]
exact Bounded.mono fun x ⟨hx, hx'⟩ => ⟨hx, le_of_lt hx'⟩
#align set.bounded_le_inter_le Set.bounded_le_inter_le
theorem unbounded_le_inter_le [LinearOrder α] (a : α) :
Unbounded (· ≤ ·) (s ∩ { b | a ≤ b }) ↔ Unbounded (· ≤ ·) s := by
rw [← not_bounded_iff, ← not_bounded_iff, not_iff_not]
exact bounded_le_inter_le a
#align set.unbounded_le_inter_le Set.unbounded_le_inter_le
theorem bounded_lt_inter_not_lt [SemilatticeSup α] (a : α) :
Bounded (· < ·) (s ∩ { b | ¬b < a }) ↔ Bounded (· < ·) s :=
bounded_inter_not (fun x y => ⟨x ⊔ y, fun _ h => h.elim lt_sup_of_lt_left lt_sup_of_lt_right⟩) a
#align set.bounded_lt_inter_not_lt Set.bounded_lt_inter_not_lt
theorem unbounded_lt_inter_not_lt [SemilatticeSup α] (a : α) :
Unbounded (· < ·) (s ∩ { b | ¬b < a }) ↔ Unbounded (· < ·) s := by
rw [← not_bounded_iff, ← not_bounded_iff, not_iff_not]
exact bounded_lt_inter_not_lt a
#align set.unbounded_lt_inter_not_lt Set.unbounded_lt_inter_not_lt
theorem bounded_lt_inter_le [LinearOrder α] (a : α) :
Bounded (· < ·) (s ∩ { b | a ≤ b }) ↔ Bounded (· < ·) s := by
convert @bounded_lt_inter_not_lt _ s _ a
exact not_lt.symm
#align set.bounded_lt_inter_le Set.bounded_lt_inter_le
theorem unbounded_lt_inter_le [LinearOrder α] (a : α) :
Unbounded (· < ·) (s ∩ { b | a ≤ b }) ↔ Unbounded (· < ·) s := by
convert @unbounded_lt_inter_not_lt _ s _ a
exact not_lt.symm
#align set.unbounded_lt_inter_le Set.unbounded_lt_inter_le
| Mathlib/Order/Bounded.lean | 378 | 381 | theorem bounded_lt_inter_lt [LinearOrder α] [NoMaxOrder α] (a : α) :
Bounded (· < ·) (s ∩ { b | a < b }) ↔ Bounded (· < ·) s := by |
rw [← bounded_le_iff_bounded_lt, ← bounded_le_iff_bounded_lt]
exact bounded_le_inter_lt a
|
import Mathlib.Analysis.NormedSpace.Banach
import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace
import Mathlib.Topology.PartialHomeomorph
#align_import analysis.calculus.inverse from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1"
open Function Set Filter Metric
open scoped Topology Classical NNReal
noncomputable section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G']
variable {ε : ℝ}
open Filter Metric Set
open ContinuousLinearMap (id)
def ApproximatesLinearOn (f : E → F) (f' : E →L[𝕜] F) (s : Set E) (c : ℝ≥0) : Prop :=
∀ x ∈ s, ∀ y ∈ s, ‖f x - f y - f' (x - y)‖ ≤ c * ‖x - y‖
#align approximates_linear_on ApproximatesLinearOn
@[simp]
theorem approximatesLinearOn_empty (f : E → F) (f' : E →L[𝕜] F) (c : ℝ≥0) :
ApproximatesLinearOn f f' ∅ c := by simp [ApproximatesLinearOn]
#align approximates_linear_on_empty approximatesLinearOn_empty
namespace ApproximatesLinearOn
variable [CompleteSpace E] {f : E → F}
section
variable {f' : E →L[𝕜] F} {s t : Set E} {c c' : ℝ≥0}
theorem mono_num (hc : c ≤ c') (hf : ApproximatesLinearOn f f' s c) :
ApproximatesLinearOn f f' s c' := fun x hx y hy =>
le_trans (hf x hx y hy) (mul_le_mul_of_nonneg_right hc <| norm_nonneg _)
#align approximates_linear_on.mono_num ApproximatesLinearOn.mono_num
theorem mono_set (hst : s ⊆ t) (hf : ApproximatesLinearOn f f' t c) :
ApproximatesLinearOn f f' s c := fun x hx y hy => hf x (hst hx) y (hst hy)
#align approximates_linear_on.mono_set ApproximatesLinearOn.mono_set
theorem approximatesLinearOn_iff_lipschitzOnWith {f : E → F} {f' : E →L[𝕜] F} {s : Set E}
{c : ℝ≥0} : ApproximatesLinearOn f f' s c ↔ LipschitzOnWith c (f - ⇑f') s := by
have : ∀ x y, f x - f y - f' (x - y) = (f - f') x - (f - f') y := fun x y ↦ by
simp only [map_sub, Pi.sub_apply]; abel
simp only [this, lipschitzOnWith_iff_norm_sub_le, ApproximatesLinearOn]
#align approximates_linear_on.approximates_linear_on_iff_lipschitz_on_with ApproximatesLinearOn.approximatesLinearOn_iff_lipschitzOnWith
alias ⟨lipschitzOnWith, _root_.LipschitzOnWith.approximatesLinearOn⟩ :=
approximatesLinearOn_iff_lipschitzOnWith
#align approximates_linear_on.lipschitz_on_with ApproximatesLinearOn.lipschitzOnWith
#align lipschitz_on_with.approximates_linear_on LipschitzOnWith.approximatesLinearOn
theorem lipschitz_sub (hf : ApproximatesLinearOn f f' s c) :
LipschitzWith c fun x : s => f x - f' x :=
hf.lipschitzOnWith.to_restrict
#align approximates_linear_on.lipschitz_sub ApproximatesLinearOn.lipschitz_sub
protected theorem lipschitz (hf : ApproximatesLinearOn f f' s c) :
LipschitzWith (‖f'‖₊ + c) (s.restrict f) := by
simpa only [restrict_apply, add_sub_cancel] using
(f'.lipschitz.restrict s).add hf.lipschitz_sub
#align approximates_linear_on.lipschitz ApproximatesLinearOn.lipschitz
protected theorem continuous (hf : ApproximatesLinearOn f f' s c) : Continuous (s.restrict f) :=
hf.lipschitz.continuous
#align approximates_linear_on.continuous ApproximatesLinearOn.continuous
protected theorem continuousOn (hf : ApproximatesLinearOn f f' s c) : ContinuousOn f s :=
continuousOn_iff_continuous_restrict.2 hf.continuous
#align approximates_linear_on.continuous_on ApproximatesLinearOn.continuousOn
end
section LocallyOnto
variable {s : Set E} {c : ℝ≥0} {f' : E →L[𝕜] F}
| Mathlib/Analysis/Calculus/InverseFunctionTheorem/ApproximatesLinearOn.lean | 148 | 280 | theorem surjOn_closedBall_of_nonlinearRightInverse (hf : ApproximatesLinearOn f f' s c)
(f'symm : f'.NonlinearRightInverse) {ε : ℝ} {b : E} (ε0 : 0 ≤ ε) (hε : closedBall b ε ⊆ s) :
SurjOn f (closedBall b ε) (closedBall (f b) (((f'symm.nnnorm : ℝ)⁻¹ - c) * ε)) := by |
intro y hy
rcases le_or_lt (f'symm.nnnorm : ℝ)⁻¹ c with hc | hc
· refine ⟨b, by simp [ε0], ?_⟩
have : dist y (f b) ≤ 0 :=
(mem_closedBall.1 hy).trans (mul_nonpos_of_nonpos_of_nonneg (by linarith) ε0)
simp only [dist_le_zero] at this
rw [this]
have If' : (0 : ℝ) < f'symm.nnnorm := by rw [← inv_pos]; exact (NNReal.coe_nonneg _).trans_lt hc
have Icf' : (c : ℝ) * f'symm.nnnorm < 1 := by rwa [inv_eq_one_div, lt_div_iff If'] at hc
have Jf' : (f'symm.nnnorm : ℝ) ≠ 0 := ne_of_gt If'
have Jcf' : (1 : ℝ) - c * f'symm.nnnorm ≠ 0 := by apply ne_of_gt; linarith
/- We have to show that `y` can be written as `f x` for some `x ∈ closedBall b ε`.
The idea of the proof is to apply the Banach contraction principle to the map
`g : x ↦ x + f'symm (y - f x)`, as a fixed point of this map satisfies `f x = y`.
When `f'symm` is a genuine linear inverse, `g` is a contracting map. In our case, since `f'symm`
is nonlinear, this map is not contracting (it is not even continuous), but still the proof of
the contraction theorem holds: `uₙ = gⁿ b` is a Cauchy sequence, converging exponentially fast
to the desired point `x`. Instead of appealing to general results, we check this by hand.
The main point is that `f (u n)` becomes exponentially close to `y`, and therefore
`dist (u (n+1)) (u n)` becomes exponentally small, making it possible to get an inductive
bound on `dist (u n) b`, from which one checks that `u n` stays in the ball on which one has a
control. Therefore, the bound can be checked at the next step, and so on inductively.
-/
set g := fun x => x + f'symm (y - f x) with hg
set u := fun n : ℕ => g^[n] b with hu
have usucc : ∀ n, u (n + 1) = g (u n) := by simp [hu, ← iterate_succ_apply' g _ b]
-- First bound: if `f z` is close to `y`, then `g z` is close to `z` (i.e., almost a fixed point).
have A : ∀ z, dist (g z) z ≤ f'symm.nnnorm * dist (f z) y := by
intro z
rw [dist_eq_norm, hg, add_sub_cancel_left, dist_eq_norm']
exact f'symm.bound _
-- Second bound: if `z` and `g z` are in the set with good control, then `f (g z)` becomes closer
-- to `y` than `f z` was (this uses the linear approximation property, and is the reason for the
-- choice of the formula for `g`).
have B :
∀ z ∈ closedBall b ε,
g z ∈ closedBall b ε → dist (f (g z)) y ≤ c * f'symm.nnnorm * dist (f z) y := by
intro z hz hgz
set v := f'symm (y - f z)
calc
dist (f (g z)) y = ‖f (z + v) - y‖ := by rw [dist_eq_norm]
_ = ‖f (z + v) - f z - f' v + f' v - (y - f z)‖ := by congr 1; abel
_ = ‖f (z + v) - f z - f' (z + v - z)‖ := by
simp only [v, ContinuousLinearMap.NonlinearRightInverse.right_inv, add_sub_cancel_left,
sub_add_cancel]
_ ≤ c * ‖z + v - z‖ := hf _ (hε hgz) _ (hε hz)
_ ≤ c * (f'symm.nnnorm * dist (f z) y) := by
gcongr
simpa [dist_eq_norm'] using f'symm.bound (y - f z)
_ = c * f'symm.nnnorm * dist (f z) y := by ring
-- Third bound: a complicated bound on `dist w b` (that will show up in the induction) is enough
-- to check that `w` is in the ball on which one has controls. Will be used to check that `u n`
-- belongs to this ball for all `n`.
have C : ∀ (n : ℕ) (w : E), dist w b ≤ f'symm.nnnorm * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n) /
(1 - c * f'symm.nnnorm) * dist (f b) y → w ∈ closedBall b ε := fun n w hw ↦ by
apply hw.trans
rw [div_mul_eq_mul_div, div_le_iff]; swap; · linarith
calc
(f'symm.nnnorm : ℝ) * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n) * dist (f b) y =
f'symm.nnnorm * dist (f b) y * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n) := by
ring
_ ≤ f'symm.nnnorm * dist (f b) y * 1 := by
gcongr
rw [sub_le_self_iff]
positivity
_ ≤ f'symm.nnnorm * (((f'symm.nnnorm : ℝ)⁻¹ - c) * ε) := by
rw [mul_one]
gcongr
exact mem_closedBall'.1 hy
_ = ε * (1 - c * f'symm.nnnorm) := by field_simp; ring
/- Main inductive control: `f (u n)` becomes exponentially close to `y`, and therefore
`dist (u (n+1)) (u n)` becomes exponentally small, making it possible to get an inductive
bound on `dist (u n) b`, from which one checks that `u n` remains in the ball on which we
have estimates. -/
have D : ∀ n : ℕ, dist (f (u n)) y ≤ ((c : ℝ) * f'symm.nnnorm) ^ n * dist (f b) y ∧
dist (u n) b ≤ f'symm.nnnorm * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n) /
(1 - (c : ℝ) * f'symm.nnnorm) * dist (f b) y := fun n ↦ by
induction' n with n IH; · simp [hu, le_refl]
rw [usucc]
have Ign : dist (g (u n)) b ≤ f'symm.nnnorm * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n.succ) /
(1 - c * f'symm.nnnorm) * dist (f b) y :=
calc
dist (g (u n)) b ≤ dist (g (u n)) (u n) + dist (u n) b := dist_triangle _ _ _
_ ≤ f'symm.nnnorm * dist (f (u n)) y + dist (u n) b := add_le_add (A _) le_rfl
_ ≤ f'symm.nnnorm * (((c : ℝ) * f'symm.nnnorm) ^ n * dist (f b) y) +
f'symm.nnnorm * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n) / (1 - c * f'symm.nnnorm) *
dist (f b) y := by
gcongr
· exact IH.1
· exact IH.2
_ = f'symm.nnnorm * (1 - ((c : ℝ) * f'symm.nnnorm) ^ n.succ) /
(1 - (c : ℝ) * f'symm.nnnorm) * dist (f b) y := by
field_simp [Jcf', pow_succ]; ring
refine ⟨?_, Ign⟩
calc
dist (f (g (u n))) y ≤ c * f'symm.nnnorm * dist (f (u n)) y :=
B _ (C n _ IH.2) (C n.succ _ Ign)
_ ≤ (c : ℝ) * f'symm.nnnorm * (((c : ℝ) * f'symm.nnnorm) ^ n * dist (f b) y) := by
gcongr
apply IH.1
_ = ((c : ℝ) * f'symm.nnnorm) ^ n.succ * dist (f b) y := by simp only [pow_succ']; ring
-- Deduce from the inductive bound that `uₙ` is a Cauchy sequence, therefore converging.
have : CauchySeq u := by
refine cauchySeq_of_le_geometric _ (↑f'symm.nnnorm * dist (f b) y) Icf' fun n ↦ ?_
calc
dist (u n) (u (n + 1)) = dist (g (u n)) (u n) := by rw [usucc, dist_comm]
_ ≤ f'symm.nnnorm * dist (f (u n)) y := A _
_ ≤ f'symm.nnnorm * (((c : ℝ) * f'symm.nnnorm) ^ n * dist (f b) y) := by
gcongr
exact (D n).1
_ = f'symm.nnnorm * dist (f b) y * ((c : ℝ) * f'symm.nnnorm) ^ n := by ring
obtain ⟨x, hx⟩ : ∃ x, Tendsto u atTop (𝓝 x) := cauchySeq_tendsto_of_complete this
-- As all the `uₙ` belong to the ball `closedBall b ε`, so does their limit `x`.
have xmem : x ∈ closedBall b ε :=
isClosed_ball.mem_of_tendsto hx (eventually_of_forall fun n => C n _ (D n).2)
refine ⟨x, xmem, ?_⟩
-- It remains to check that `f x = y`. This follows from continuity of `f` on `closedBall b ε`
-- and from the fact that `f uₙ` is converging to `y` by construction.
have hx' : Tendsto u atTop (𝓝[closedBall b ε] x) := by
simp only [nhdsWithin, tendsto_inf, hx, true_and_iff, ge_iff_le, tendsto_principal]
exact eventually_of_forall fun n => C n _ (D n).2
have T1 : Tendsto (f ∘ u) atTop (𝓝 (f x)) :=
(hf.continuousOn.mono hε x xmem).tendsto.comp hx'
have T2 : Tendsto (f ∘ u) atTop (𝓝 y) := by
rw [tendsto_iff_dist_tendsto_zero]
refine squeeze_zero (fun _ => dist_nonneg) (fun n => (D n).1) ?_
simpa using (tendsto_pow_atTop_nhds_zero_of_lt_one (by positivity) Icf').mul tendsto_const_nhds
exact tendsto_nhds_unique T1 T2
|
import Mathlib.Data.Finsupp.Basic
import Mathlib.Data.Finsupp.Order
#align_import data.finsupp.multiset from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf"
open Finset
variable {α β ι : Type*}
namespace Finsupp
def toMultiset : (α →₀ ℕ) →+ Multiset α where
toFun f := Finsupp.sum f fun a n => n • {a}
-- Porting note: times out if h is not specified
map_add' _f _g := sum_add_index' (h := fun a n => n • ({a} : Multiset α))
(fun _ ↦ zero_nsmul _) (fun _ ↦ add_nsmul _)
map_zero' := sum_zero_index
theorem toMultiset_zero : toMultiset (0 : α →₀ ℕ) = 0 :=
rfl
#align finsupp.to_multiset_zero Finsupp.toMultiset_zero
theorem toMultiset_add (m n : α →₀ ℕ) : toMultiset (m + n) = toMultiset m + toMultiset n :=
toMultiset.map_add m n
#align finsupp.to_multiset_add Finsupp.toMultiset_add
theorem toMultiset_apply (f : α →₀ ℕ) : toMultiset f = f.sum fun a n => n • {a} :=
rfl
#align finsupp.to_multiset_apply Finsupp.toMultiset_apply
@[simp]
theorem toMultiset_single (a : α) (n : ℕ) : toMultiset (single a n) = n • {a} := by
rw [toMultiset_apply, sum_single_index]; apply zero_nsmul
#align finsupp.to_multiset_single Finsupp.toMultiset_single
theorem toMultiset_sum {f : ι → α →₀ ℕ} (s : Finset ι) :
Finsupp.toMultiset (∑ i ∈ s, f i) = ∑ i ∈ s, Finsupp.toMultiset (f i) :=
map_sum Finsupp.toMultiset _ _
#align finsupp.to_multiset_sum Finsupp.toMultiset_sum
theorem toMultiset_sum_single (s : Finset ι) (n : ℕ) :
Finsupp.toMultiset (∑ i ∈ s, single i n) = n • s.val := by
simp_rw [toMultiset_sum, Finsupp.toMultiset_single, sum_nsmul, sum_multiset_singleton]
#align finsupp.to_multiset_sum_single Finsupp.toMultiset_sum_single
@[simp]
theorem card_toMultiset (f : α →₀ ℕ) : Multiset.card (toMultiset f) = f.sum fun _ => id := by
simp [toMultiset_apply, map_finsupp_sum, Function.id_def]
#align finsupp.card_to_multiset Finsupp.card_toMultiset
theorem toMultiset_map (f : α →₀ ℕ) (g : α → β) :
f.toMultiset.map g = toMultiset (f.mapDomain g) := by
refine f.induction ?_ ?_
· rw [toMultiset_zero, Multiset.map_zero, mapDomain_zero, toMultiset_zero]
· intro a n f _ _ ih
rw [toMultiset_add, Multiset.map_add, ih, mapDomain_add, mapDomain_single,
toMultiset_single, toMultiset_add, toMultiset_single, ← Multiset.coe_mapAddMonoidHom,
(Multiset.mapAddMonoidHom g).map_nsmul]
rfl
#align finsupp.to_multiset_map Finsupp.toMultiset_map
@[to_additive (attr := simp)]
theorem prod_toMultiset [CommMonoid α] (f : α →₀ ℕ) :
f.toMultiset.prod = f.prod fun a n => a ^ n := by
refine f.induction ?_ ?_
· rw [toMultiset_zero, Multiset.prod_zero, Finsupp.prod_zero_index]
· intro a n f _ _ ih
rw [toMultiset_add, Multiset.prod_add, ih, toMultiset_single, Multiset.prod_nsmul,
Finsupp.prod_add_index' pow_zero pow_add, Finsupp.prod_single_index, Multiset.prod_singleton]
exact pow_zero a
#align finsupp.prod_to_multiset Finsupp.prod_toMultiset
@[simp]
theorem toFinset_toMultiset [DecidableEq α] (f : α →₀ ℕ) : f.toMultiset.toFinset = f.support := by
refine f.induction ?_ ?_
· rw [toMultiset_zero, Multiset.toFinset_zero, support_zero]
· intro a n f ha hn ih
rw [toMultiset_add, Multiset.toFinset_add, ih, toMultiset_single, support_add_eq,
support_single_ne_zero _ hn, Multiset.toFinset_nsmul _ _ hn, Multiset.toFinset_singleton]
refine Disjoint.mono_left support_single_subset ?_
rwa [Finset.disjoint_singleton_left]
#align finsupp.to_finset_to_multiset Finsupp.toFinset_toMultiset
@[simp]
theorem count_toMultiset [DecidableEq α] (f : α →₀ ℕ) (a : α) : (toMultiset f).count a = f a :=
calc
(toMultiset f).count a = Finsupp.sum f (fun x n => (n • {x} : Multiset α).count a) := by
rw [toMultiset_apply]; exact map_sum (Multiset.countAddMonoidHom a) _ f.support
_ = f.sum fun x n => n * ({x} : Multiset α).count a := by simp only [Multiset.count_nsmul]
_ = f a * ({a} : Multiset α).count a :=
sum_eq_single _
(fun a' _ H => by simp only [Multiset.count_singleton, if_false, H.symm, mul_zero])
(fun _ => zero_mul _)
_ = f a := by rw [Multiset.count_singleton_self, mul_one]
#align finsupp.count_to_multiset Finsupp.count_toMultiset
theorem toMultiset_sup [DecidableEq α] (f g : α →₀ ℕ) :
toMultiset (f ⊔ g) = toMultiset f ∪ toMultiset g := by
ext
simp_rw [Multiset.count_union, Finsupp.count_toMultiset, Finsupp.sup_apply, sup_eq_max]
theorem toMultiset_inf [DecidableEq α] (f g : α →₀ ℕ) :
toMultiset (f ⊓ g) = toMultiset f ∩ toMultiset g := by
ext
simp_rw [Multiset.count_inter, Finsupp.count_toMultiset, Finsupp.inf_apply, inf_eq_min]
@[simp]
| Mathlib/Data/Finsupp/Multiset.lean | 128 | 130 | theorem mem_toMultiset (f : α →₀ ℕ) (i : α) : i ∈ toMultiset f ↔ i ∈ f.support := by |
classical
rw [← Multiset.count_ne_zero, Finsupp.count_toMultiset, Finsupp.mem_support_iff]
|
import Mathlib.MeasureTheory.Constructions.Prod.Basic
import Mathlib.MeasureTheory.Integral.DominatedConvergence
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.constructions.prod.integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open scoped Classical Topology ENNReal MeasureTheory
open Set Function Real ENNReal
open MeasureTheory MeasurableSpace MeasureTheory.Measure
open TopologicalSpace
open Filter hiding prod_eq map
variable {α α' β β' γ E : Type*}
variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β']
variable [MeasurableSpace γ]
variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ}
variable [NormedAddCommGroup E]
theorem measurableSet_integrable [SigmaFinite ν] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : MeasurableSet {x | Integrable (f x) ν} := by
simp_rw [Integrable, hf.of_uncurry_left.aestronglyMeasurable, true_and_iff]
exact measurableSet_lt (Measurable.lintegral_prod_right hf.ennnorm) measurable_const
#align measurable_set_integrable measurableSet_integrable
section
variable [NormedSpace ℝ E]
theorem MeasureTheory.StronglyMeasurable.integral_prod_right [SigmaFinite ν] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : StronglyMeasurable fun x => ∫ y, f x y ∂ν := by
by_cases hE : CompleteSpace E; swap; · simp [integral, hE, stronglyMeasurable_const]
borelize E
haveI : SeparableSpace (range (uncurry f) ∪ {0} : Set E) :=
hf.separableSpace_range_union_singleton
let s : ℕ → SimpleFunc (α × β) E :=
SimpleFunc.approxOn _ hf.measurable (range (uncurry f) ∪ {0}) 0 (by simp)
let s' : ℕ → α → SimpleFunc β E := fun n x => (s n).comp (Prod.mk x) measurable_prod_mk_left
let f' : ℕ → α → E := fun n => {x | Integrable (f x) ν}.indicator fun x => (s' n x).integral ν
have hf' : ∀ n, StronglyMeasurable (f' n) := by
intro n; refine StronglyMeasurable.indicator ?_ (measurableSet_integrable hf)
have : ∀ x, ((s' n x).range.filter fun x => x ≠ 0) ⊆ (s n).range := by
intro x; refine Finset.Subset.trans (Finset.filter_subset _ _) ?_; intro y
simp_rw [SimpleFunc.mem_range]; rintro ⟨z, rfl⟩; exact ⟨(x, z), rfl⟩
simp only [SimpleFunc.integral_eq_sum_of_subset (this _)]
refine Finset.stronglyMeasurable_sum _ fun x _ => ?_
refine (Measurable.ennreal_toReal ?_).stronglyMeasurable.smul_const _
simp only [s', SimpleFunc.coe_comp, preimage_comp]
apply measurable_measure_prod_mk_left
exact (s n).measurableSet_fiber x
have h2f' : Tendsto f' atTop (𝓝 fun x : α => ∫ y : β, f x y ∂ν) := by
rw [tendsto_pi_nhds]; intro x
by_cases hfx : Integrable (f x) ν
· have (n) : Integrable (s' n x) ν := by
apply (hfx.norm.add hfx.norm).mono' (s' n x).aestronglyMeasurable
filter_upwards with y
simp_rw [s', SimpleFunc.coe_comp]; exact SimpleFunc.norm_approxOn_zero_le _ _ (x, y) n
simp only [f', hfx, SimpleFunc.integral_eq_integral _ (this _), indicator_of_mem,
mem_setOf_eq]
refine
tendsto_integral_of_dominated_convergence (fun y => ‖f x y‖ + ‖f x y‖)
(fun n => (s' n x).aestronglyMeasurable) (hfx.norm.add hfx.norm) ?_ ?_
· refine fun n => eventually_of_forall fun y =>
SimpleFunc.norm_approxOn_zero_le ?_ ?_ (x, y) n
-- Porting note: Lean 3 solved the following two subgoals on its own
· exact hf.measurable
· simp
· refine eventually_of_forall fun y => SimpleFunc.tendsto_approxOn ?_ ?_ ?_
-- Porting note: Lean 3 solved the following two subgoals on its own
· exact hf.measurable.of_uncurry_left
· simp
apply subset_closure
simp [-uncurry_apply_pair]
· simp [f', hfx, integral_undef]
exact stronglyMeasurable_of_tendsto _ hf' h2f'
#align measure_theory.strongly_measurable.integral_prod_right MeasureTheory.StronglyMeasurable.integral_prod_right
theorem MeasureTheory.StronglyMeasurable.integral_prod_right' [SigmaFinite ν] ⦃f : α × β → E⦄
(hf : StronglyMeasurable f) : StronglyMeasurable fun x => ∫ y, f (x, y) ∂ν := by
rw [← uncurry_curry f] at hf; exact hf.integral_prod_right
#align measure_theory.strongly_measurable.integral_prod_right' MeasureTheory.StronglyMeasurable.integral_prod_right'
theorem MeasureTheory.StronglyMeasurable.integral_prod_left [SigmaFinite μ] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : StronglyMeasurable fun y => ∫ x, f x y ∂μ :=
(hf.comp_measurable measurable_swap).integral_prod_right'
#align measure_theory.strongly_measurable.integral_prod_left MeasureTheory.StronglyMeasurable.integral_prod_left
theorem MeasureTheory.StronglyMeasurable.integral_prod_left' [SigmaFinite μ] ⦃f : α × β → E⦄
(hf : StronglyMeasurable f) : StronglyMeasurable fun y => ∫ x, f (x, y) ∂μ :=
(hf.comp_measurable measurable_swap).integral_prod_right'
#align measure_theory.strongly_measurable.integral_prod_left' MeasureTheory.StronglyMeasurable.integral_prod_left'
end
open MeasureTheory.Measure
section
nonrec theorem MeasureTheory.AEStronglyMeasurable.prod_swap {γ : Type*} [TopologicalSpace γ]
[SigmaFinite μ] [SigmaFinite ν] {f : β × α → γ} (hf : AEStronglyMeasurable f (ν.prod μ)) :
AEStronglyMeasurable (fun z : α × β => f z.swap) (μ.prod ν) := by
rw [← prod_swap] at hf
exact hf.comp_measurable measurable_swap
#align measure_theory.ae_strongly_measurable.prod_swap MeasureTheory.AEStronglyMeasurable.prod_swap
theorem MeasureTheory.AEStronglyMeasurable.fst {γ} [TopologicalSpace γ] [SigmaFinite ν] {f : α → γ}
(hf : AEStronglyMeasurable f μ) : AEStronglyMeasurable (fun z : α × β => f z.1) (μ.prod ν) :=
hf.comp_quasiMeasurePreserving quasiMeasurePreserving_fst
#align measure_theory.ae_strongly_measurable.fst MeasureTheory.AEStronglyMeasurable.fst
theorem MeasureTheory.AEStronglyMeasurable.snd {γ} [TopologicalSpace γ] [SigmaFinite ν] {f : β → γ}
(hf : AEStronglyMeasurable f ν) : AEStronglyMeasurable (fun z : α × β => f z.2) (μ.prod ν) :=
hf.comp_quasiMeasurePreserving quasiMeasurePreserving_snd
#align measure_theory.ae_strongly_measurable.snd MeasureTheory.AEStronglyMeasurable.snd
theorem MeasureTheory.AEStronglyMeasurable.integral_prod_right' [SigmaFinite ν] [NormedSpace ℝ E]
⦃f : α × β → E⦄ (hf : AEStronglyMeasurable f (μ.prod ν)) :
AEStronglyMeasurable (fun x => ∫ y, f (x, y) ∂ν) μ :=
⟨fun x => ∫ y, hf.mk f (x, y) ∂ν, hf.stronglyMeasurable_mk.integral_prod_right', by
filter_upwards [ae_ae_of_ae_prod hf.ae_eq_mk] with _ hx using integral_congr_ae hx⟩
#align measure_theory.ae_strongly_measurable.integral_prod_right' MeasureTheory.AEStronglyMeasurable.integral_prod_right'
theorem MeasureTheory.AEStronglyMeasurable.prod_mk_left {γ : Type*} [SigmaFinite ν]
[TopologicalSpace γ] {f : α × β → γ} (hf : AEStronglyMeasurable f (μ.prod ν)) :
∀ᵐ x ∂μ, AEStronglyMeasurable (fun y => f (x, y)) ν := by
filter_upwards [ae_ae_of_ae_prod hf.ae_eq_mk] with x hx
exact
⟨fun y => hf.mk f (x, y), hf.stronglyMeasurable_mk.comp_measurable measurable_prod_mk_left, hx⟩
#align measure_theory.ae_strongly_measurable.prod_mk_left MeasureTheory.AEStronglyMeasurable.prod_mk_left
end
namespace MeasureTheory
variable [SigmaFinite ν]
section
theorem integrable_swap_iff [SigmaFinite μ] {f : α × β → E} :
Integrable (f ∘ Prod.swap) (ν.prod μ) ↔ Integrable f (μ.prod ν) :=
measurePreserving_swap.integrable_comp_emb MeasurableEquiv.prodComm.measurableEmbedding
#align measure_theory.integrable_swap_iff MeasureTheory.integrable_swap_iff
theorem Integrable.swap [SigmaFinite μ] ⦃f : α × β → E⦄ (hf : Integrable f (μ.prod ν)) :
Integrable (f ∘ Prod.swap) (ν.prod μ) :=
integrable_swap_iff.2 hf
#align measure_theory.integrable.swap MeasureTheory.Integrable.swap
theorem hasFiniteIntegral_prod_iff ⦃f : α × β → E⦄ (h1f : StronglyMeasurable f) :
HasFiniteIntegral f (μ.prod ν) ↔
(∀ᵐ x ∂μ, HasFiniteIntegral (fun y => f (x, y)) ν) ∧
HasFiniteIntegral (fun x => ∫ y, ‖f (x, y)‖ ∂ν) μ := by
simp only [HasFiniteIntegral, lintegral_prod_of_measurable _ h1f.ennnorm]
have (x) : ∀ᵐ y ∂ν, 0 ≤ ‖f (x, y)‖ := by filter_upwards with y using norm_nonneg _
simp_rw [integral_eq_lintegral_of_nonneg_ae (this _)
(h1f.norm.comp_measurable measurable_prod_mk_left).aestronglyMeasurable,
ennnorm_eq_ofReal toReal_nonneg, ofReal_norm_eq_coe_nnnorm]
-- this fact is probably too specialized to be its own lemma
have : ∀ {p q r : Prop} (_ : r → p), (r ↔ p ∧ q) ↔ p → (r ↔ q) := fun {p q r} h1 => by
rw [← and_congr_right_iff, and_iff_right_of_imp h1]
rw [this]
· intro h2f; rw [lintegral_congr_ae]
filter_upwards [h2f] with x hx
rw [ofReal_toReal]; rw [← lt_top_iff_ne_top]; exact hx
· intro h2f; refine ae_lt_top ?_ h2f.ne; exact h1f.ennnorm.lintegral_prod_right'
#align measure_theory.has_finite_integral_prod_iff MeasureTheory.hasFiniteIntegral_prod_iff
theorem hasFiniteIntegral_prod_iff' ⦃f : α × β → E⦄ (h1f : AEStronglyMeasurable f (μ.prod ν)) :
HasFiniteIntegral f (μ.prod ν) ↔
(∀ᵐ x ∂μ, HasFiniteIntegral (fun y => f (x, y)) ν) ∧
HasFiniteIntegral (fun x => ∫ y, ‖f (x, y)‖ ∂ν) μ := by
rw [hasFiniteIntegral_congr h1f.ae_eq_mk,
hasFiniteIntegral_prod_iff h1f.stronglyMeasurable_mk]
apply and_congr
· apply eventually_congr
filter_upwards [ae_ae_of_ae_prod h1f.ae_eq_mk.symm]
intro x hx
exact hasFiniteIntegral_congr hx
· apply hasFiniteIntegral_congr
filter_upwards [ae_ae_of_ae_prod h1f.ae_eq_mk.symm] with _ hx using
integral_congr_ae (EventuallyEq.fun_comp hx _)
#align measure_theory.has_finite_integral_prod_iff' MeasureTheory.hasFiniteIntegral_prod_iff'
theorem integrable_prod_iff ⦃f : α × β → E⦄ (h1f : AEStronglyMeasurable f (μ.prod ν)) :
Integrable f (μ.prod ν) ↔
(∀ᵐ x ∂μ, Integrable (fun y => f (x, y)) ν) ∧ Integrable (fun x => ∫ y, ‖f (x, y)‖ ∂ν) μ := by
simp [Integrable, h1f, hasFiniteIntegral_prod_iff', h1f.norm.integral_prod_right',
h1f.prod_mk_left]
#align measure_theory.integrable_prod_iff MeasureTheory.integrable_prod_iff
theorem integrable_prod_iff' [SigmaFinite μ] ⦃f : α × β → E⦄
(h1f : AEStronglyMeasurable f (μ.prod ν)) :
Integrable f (μ.prod ν) ↔
(∀ᵐ y ∂ν, Integrable (fun x => f (x, y)) μ) ∧ Integrable (fun y => ∫ x, ‖f (x, y)‖ ∂μ) ν := by
convert integrable_prod_iff h1f.prod_swap using 1
rw [funext fun _ => Function.comp_apply.symm, integrable_swap_iff]
#align measure_theory.integrable_prod_iff' MeasureTheory.integrable_prod_iff'
theorem Integrable.prod_left_ae [SigmaFinite μ] ⦃f : α × β → E⦄ (hf : Integrable f (μ.prod ν)) :
∀ᵐ y ∂ν, Integrable (fun x => f (x, y)) μ :=
((integrable_prod_iff' hf.aestronglyMeasurable).mp hf).1
#align measure_theory.integrable.prod_left_ae MeasureTheory.Integrable.prod_left_ae
theorem Integrable.prod_right_ae [SigmaFinite μ] ⦃f : α × β → E⦄ (hf : Integrable f (μ.prod ν)) :
∀ᵐ x ∂μ, Integrable (fun y => f (x, y)) ν :=
hf.swap.prod_left_ae
#align measure_theory.integrable.prod_right_ae MeasureTheory.Integrable.prod_right_ae
theorem Integrable.integral_norm_prod_left ⦃f : α × β → E⦄ (hf : Integrable f (μ.prod ν)) :
Integrable (fun x => ∫ y, ‖f (x, y)‖ ∂ν) μ :=
((integrable_prod_iff hf.aestronglyMeasurable).mp hf).2
#align measure_theory.integrable.integral_norm_prod_left MeasureTheory.Integrable.integral_norm_prod_left
theorem Integrable.integral_norm_prod_right [SigmaFinite μ] ⦃f : α × β → E⦄
(hf : Integrable f (μ.prod ν)) : Integrable (fun y => ∫ x, ‖f (x, y)‖ ∂μ) ν :=
hf.swap.integral_norm_prod_left
#align measure_theory.integrable.integral_norm_prod_right MeasureTheory.Integrable.integral_norm_prod_right
theorem Integrable.prod_smul {𝕜 : Type*} [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 E]
{f : α → 𝕜} {g : β → E} (hf : Integrable f μ) (hg : Integrable g ν) :
Integrable (fun z : α × β => f z.1 • g z.2) (μ.prod ν) := by
refine (integrable_prod_iff ?_).2 ⟨?_, ?_⟩
· exact hf.1.fst.smul hg.1.snd
· exact eventually_of_forall fun x => hg.smul (f x)
· simpa only [norm_smul, integral_mul_left] using hf.norm.mul_const _
theorem Integrable.prod_mul {L : Type*} [RCLike L] {f : α → L} {g : β → L} (hf : Integrable f μ)
(hg : Integrable g ν) : Integrable (fun z : α × β => f z.1 * g z.2) (μ.prod ν) :=
hf.prod_smul hg
#align measure_theory.integrable_prod_mul MeasureTheory.Integrable.prod_mul
end
variable [NormedSpace ℝ E]
theorem Integrable.integral_prod_left ⦃f : α × β → E⦄ (hf : Integrable f (μ.prod ν)) :
Integrable (fun x => ∫ y, f (x, y) ∂ν) μ :=
Integrable.mono hf.integral_norm_prod_left hf.aestronglyMeasurable.integral_prod_right' <|
eventually_of_forall fun x =>
(norm_integral_le_integral_norm _).trans_eq <|
(norm_of_nonneg <|
integral_nonneg_of_ae <|
eventually_of_forall fun y => (norm_nonneg (f (x, y)) : _)).symm
#align measure_theory.integrable.integral_prod_left MeasureTheory.Integrable.integral_prod_left
theorem Integrable.integral_prod_right [SigmaFinite μ] ⦃f : α × β → E⦄
(hf : Integrable f (μ.prod ν)) : Integrable (fun y => ∫ x, f (x, y) ∂μ) ν :=
hf.swap.integral_prod_left
#align measure_theory.integrable.integral_prod_right MeasureTheory.Integrable.integral_prod_right
variable [SigmaFinite μ]
theorem integral_prod_swap (f : α × β → E) :
∫ z, f z.swap ∂ν.prod μ = ∫ z, f z ∂μ.prod ν :=
measurePreserving_swap.integral_comp MeasurableEquiv.prodComm.measurableEmbedding _
#align measure_theory.integral_prod_swap MeasureTheory.integral_prod_swap
variable {E' : Type*} [NormedAddCommGroup E'] [NormedSpace ℝ E']
theorem integral_fn_integral_add ⦃f g : α × β → E⦄ (F : E → E') (hf : Integrable f (μ.prod ν))
(hg : Integrable g (μ.prod ν)) :
(∫ x, F (∫ y, f (x, y) + g (x, y) ∂ν) ∂μ) =
∫ x, F ((∫ y, f (x, y) ∂ν) + ∫ y, g (x, y) ∂ν) ∂μ := by
refine integral_congr_ae ?_
filter_upwards [hf.prod_right_ae, hg.prod_right_ae] with _ h2f h2g
simp [integral_add h2f h2g]
#align measure_theory.integral_fn_integral_add MeasureTheory.integral_fn_integral_add
theorem integral_fn_integral_sub ⦃f g : α × β → E⦄ (F : E → E') (hf : Integrable f (μ.prod ν))
(hg : Integrable g (μ.prod ν)) :
(∫ x, F (∫ y, f (x, y) - g (x, y) ∂ν) ∂μ) =
∫ x, F ((∫ y, f (x, y) ∂ν) - ∫ y, g (x, y) ∂ν) ∂μ := by
refine integral_congr_ae ?_
filter_upwards [hf.prod_right_ae, hg.prod_right_ae] with _ h2f h2g
simp [integral_sub h2f h2g]
#align measure_theory.integral_fn_integral_sub MeasureTheory.integral_fn_integral_sub
theorem lintegral_fn_integral_sub ⦃f g : α × β → E⦄ (F : E → ℝ≥0∞) (hf : Integrable f (μ.prod ν))
(hg : Integrable g (μ.prod ν)) :
(∫⁻ x, F (∫ y, f (x, y) - g (x, y) ∂ν) ∂μ) =
∫⁻ x, F ((∫ y, f (x, y) ∂ν) - ∫ y, g (x, y) ∂ν) ∂μ := by
refine lintegral_congr_ae ?_
filter_upwards [hf.prod_right_ae, hg.prod_right_ae] with _ h2f h2g
simp [integral_sub h2f h2g]
#align measure_theory.lintegral_fn_integral_sub MeasureTheory.lintegral_fn_integral_sub
theorem integral_integral_add ⦃f g : α × β → E⦄ (hf : Integrable f (μ.prod ν))
(hg : Integrable g (μ.prod ν)) :
(∫ x, ∫ y, f (x, y) + g (x, y) ∂ν ∂μ) = (∫ x, ∫ y, f (x, y) ∂ν ∂μ) + ∫ x, ∫ y, g (x, y) ∂ν ∂μ :=
(integral_fn_integral_add id hf hg).trans <|
integral_add hf.integral_prod_left hg.integral_prod_left
#align measure_theory.integral_integral_add MeasureTheory.integral_integral_add
theorem integral_integral_add' ⦃f g : α × β → E⦄ (hf : Integrable f (μ.prod ν))
(hg : Integrable g (μ.prod ν)) :
(∫ x, ∫ y, (f + g) (x, y) ∂ν ∂μ) = (∫ x, ∫ y, f (x, y) ∂ν ∂μ) + ∫ x, ∫ y, g (x, y) ∂ν ∂μ :=
integral_integral_add hf hg
#align measure_theory.integral_integral_add' MeasureTheory.integral_integral_add'
theorem integral_integral_sub ⦃f g : α × β → E⦄ (hf : Integrable f (μ.prod ν))
(hg : Integrable g (μ.prod ν)) :
(∫ x, ∫ y, f (x, y) - g (x, y) ∂ν ∂μ) = (∫ x, ∫ y, f (x, y) ∂ν ∂μ) - ∫ x, ∫ y, g (x, y) ∂ν ∂μ :=
(integral_fn_integral_sub id hf hg).trans <|
integral_sub hf.integral_prod_left hg.integral_prod_left
#align measure_theory.integral_integral_sub MeasureTheory.integral_integral_sub
theorem integral_integral_sub' ⦃f g : α × β → E⦄ (hf : Integrable f (μ.prod ν))
(hg : Integrable g (μ.prod ν)) :
(∫ x, ∫ y, (f - g) (x, y) ∂ν ∂μ) = (∫ x, ∫ y, f (x, y) ∂ν ∂μ) - ∫ x, ∫ y, g (x, y) ∂ν ∂μ :=
integral_integral_sub hf hg
#align measure_theory.integral_integral_sub' MeasureTheory.integral_integral_sub'
theorem continuous_integral_integral :
Continuous fun f : α × β →₁[μ.prod ν] E => ∫ x, ∫ y, f (x, y) ∂ν ∂μ := by
rw [continuous_iff_continuousAt]; intro g
refine
tendsto_integral_of_L1 _ (L1.integrable_coeFn g).integral_prod_left
(eventually_of_forall fun h => (L1.integrable_coeFn h).integral_prod_left) ?_
simp_rw [←
lintegral_fn_integral_sub (fun x => (‖x‖₊ : ℝ≥0∞)) (L1.integrable_coeFn _)
(L1.integrable_coeFn g)]
apply tendsto_of_tendsto_of_tendsto_of_le_of_le tendsto_const_nhds _ (fun i => zero_le _) _
· exact fun i => ∫⁻ x, ∫⁻ y, ‖i (x, y) - g (x, y)‖₊ ∂ν ∂μ
swap; · exact fun i => lintegral_mono fun x => ennnorm_integral_le_lintegral_ennnorm _
show
Tendsto (fun i : α × β →₁[μ.prod ν] E => ∫⁻ x, ∫⁻ y : β, ‖i (x, y) - g (x, y)‖₊ ∂ν ∂μ) (𝓝 g)
(𝓝 0)
have : ∀ i : α × β →₁[μ.prod ν] E, Measurable fun z => (‖i z - g z‖₊ : ℝ≥0∞) := fun i =>
((Lp.stronglyMeasurable i).sub (Lp.stronglyMeasurable g)).ennnorm
-- Porting note: was
-- simp_rw [← lintegral_prod_of_measurable _ (this _), ← L1.ofReal_norm_sub_eq_lintegral, ←
-- ofReal_zero]
conv =>
congr
ext
rw [← lintegral_prod_of_measurable _ (this _), ← L1.ofReal_norm_sub_eq_lintegral]
rw [← ofReal_zero]
refine (continuous_ofReal.tendsto 0).comp ?_
rw [← tendsto_iff_norm_sub_tendsto_zero]; exact tendsto_id
#align measure_theory.continuous_integral_integral MeasureTheory.continuous_integral_integral
theorem integral_prod (f : α × β → E) (hf : Integrable f (μ.prod ν)) :
∫ z, f z ∂μ.prod ν = ∫ x, ∫ y, f (x, y) ∂ν ∂μ := by
by_cases hE : CompleteSpace E; swap; · simp only [integral, dif_neg hE]
revert f
apply Integrable.induction
· intro c s hs h2s
simp_rw [integral_indicator hs, ← indicator_comp_right, Function.comp,
integral_indicator (measurable_prod_mk_left hs), setIntegral_const, integral_smul_const,
integral_toReal (measurable_measure_prod_mk_left hs).aemeasurable
(ae_measure_lt_top hs h2s.ne)]
-- Porting note: was `simp_rw`
rw [prod_apply hs]
· rintro f g - i_f i_g hf hg
simp_rw [integral_add' i_f i_g, integral_integral_add' i_f i_g, hf, hg]
· exact isClosed_eq continuous_integral continuous_integral_integral
· rintro f g hfg - hf; convert hf using 1
· exact integral_congr_ae hfg.symm
· apply integral_congr_ae
filter_upwards [ae_ae_of_ae_prod hfg] with x hfgx using integral_congr_ae (ae_eq_symm hfgx)
#align measure_theory.integral_prod MeasureTheory.integral_prod
| Mathlib/MeasureTheory/Constructions/Prod/Integral.lean | 478 | 480 | theorem integral_prod_symm (f : α × β → E) (hf : Integrable f (μ.prod ν)) :
∫ z, f z ∂μ.prod ν = ∫ y, ∫ x, f (x, y) ∂μ ∂ν := by |
rw [← integral_prod_swap f]; exact integral_prod _ hf.swap
|
import Mathlib.Analysis.Normed.Group.Seminorm
import Mathlib.Order.LiminfLimsup
import Mathlib.Topology.Instances.Rat
import Mathlib.Topology.MetricSpace.Algebra
import Mathlib.Topology.MetricSpace.IsometricSMul
import Mathlib.Topology.Sequences
#align_import analysis.normed.group.basic from "leanprover-community/mathlib"@"41bef4ae1254365bc190aee63b947674d2977f01"
variable {𝓕 𝕜 α ι κ E F G : Type*}
open Filter Function Metric Bornology
open ENNReal Filter NNReal Uniformity Pointwise Topology
@[notation_class]
class Norm (E : Type*) where
norm : E → ℝ
#align has_norm Norm
@[notation_class]
class NNNorm (E : Type*) where
nnnorm : E → ℝ≥0
#align has_nnnorm NNNorm
export Norm (norm)
export NNNorm (nnnorm)
@[inherit_doc]
notation "‖" e "‖" => norm e
@[inherit_doc]
notation "‖" e "‖₊" => nnnorm e
class SeminormedAddGroup (E : Type*) extends Norm E, AddGroup E, PseudoMetricSpace E where
dist := fun x y => ‖x - y‖
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align seminormed_add_group SeminormedAddGroup
@[to_additive]
class SeminormedGroup (E : Type*) extends Norm E, Group E, PseudoMetricSpace E where
dist := fun x y => ‖x / y‖
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align seminormed_group SeminormedGroup
class NormedAddGroup (E : Type*) extends Norm E, AddGroup E, MetricSpace E where
dist := fun x y => ‖x - y‖
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align normed_add_group NormedAddGroup
@[to_additive]
class NormedGroup (E : Type*) extends Norm E, Group E, MetricSpace E where
dist := fun x y => ‖x / y‖
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align normed_group NormedGroup
class SeminormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E,
PseudoMetricSpace E where
dist := fun x y => ‖x - y‖
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align seminormed_add_comm_group SeminormedAddCommGroup
@[to_additive]
class SeminormedCommGroup (E : Type*) extends Norm E, CommGroup E, PseudoMetricSpace E where
dist := fun x y => ‖x / y‖
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align seminormed_comm_group SeminormedCommGroup
class NormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, MetricSpace E where
dist := fun x y => ‖x - y‖
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align normed_add_comm_group NormedAddCommGroup
@[to_additive]
class NormedCommGroup (E : Type*) extends Norm E, CommGroup E, MetricSpace E where
dist := fun x y => ‖x / y‖
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align normed_comm_group NormedCommGroup
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) NormedGroup.toSeminormedGroup [NormedGroup E] : SeminormedGroup E :=
{ ‹NormedGroup E› with }
#align normed_group.to_seminormed_group NormedGroup.toSeminormedGroup
#align normed_add_group.to_seminormed_add_group NormedAddGroup.toSeminormedAddGroup
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) NormedCommGroup.toSeminormedCommGroup [NormedCommGroup E] :
SeminormedCommGroup E :=
{ ‹NormedCommGroup E› with }
#align normed_comm_group.to_seminormed_comm_group NormedCommGroup.toSeminormedCommGroup
#align normed_add_comm_group.to_seminormed_add_comm_group NormedAddCommGroup.toSeminormedAddCommGroup
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) SeminormedCommGroup.toSeminormedGroup [SeminormedCommGroup E] :
SeminormedGroup E :=
{ ‹SeminormedCommGroup E› with }
#align seminormed_comm_group.to_seminormed_group SeminormedCommGroup.toSeminormedGroup
#align seminormed_add_comm_group.to_seminormed_add_group SeminormedAddCommGroup.toSeminormedAddGroup
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) NormedCommGroup.toNormedGroup [NormedCommGroup E] : NormedGroup E :=
{ ‹NormedCommGroup E› with }
#align normed_comm_group.to_normed_group NormedCommGroup.toNormedGroup
#align normed_add_comm_group.to_normed_add_group NormedAddCommGroup.toNormedAddGroup
-- See note [reducible non-instances]
@[to_additive (attr := reducible) "Construct a `NormedAddGroup` from a `SeminormedAddGroup`
satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the `(Pseudo)MetricSpace`
level when declaring a `NormedAddGroup` instance as a special case of a more general
`SeminormedAddGroup` instance."]
def NormedGroup.ofSeparation [SeminormedGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) :
NormedGroup E where
dist_eq := ‹SeminormedGroup E›.dist_eq
toMetricSpace :=
{ eq_of_dist_eq_zero := fun hxy =>
div_eq_one.1 <| h _ <| by exact (‹SeminormedGroup E›.dist_eq _ _).symm.trans hxy }
-- Porting note: the `rwa` no longer worked, but it was easy enough to provide the term.
-- however, notice that if you make `x` and `y` accessible, then the following does work:
-- `have := ‹SeminormedGroup E›.dist_eq x y; rwa [← this]`, so I'm not sure why the `rwa`
-- was broken.
#align normed_group.of_separation NormedGroup.ofSeparation
#align normed_add_group.of_separation NormedAddGroup.ofSeparation
-- See note [reducible non-instances]
@[to_additive (attr := reducible) "Construct a `NormedAddCommGroup` from a
`SeminormedAddCommGroup` satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the
`(Pseudo)MetricSpace` level when declaring a `NormedAddCommGroup` instance as a special case
of a more general `SeminormedAddCommGroup` instance."]
def NormedCommGroup.ofSeparation [SeminormedCommGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) :
NormedCommGroup E :=
{ ‹SeminormedCommGroup E›, NormedGroup.ofSeparation h with }
#align normed_comm_group.of_separation NormedCommGroup.ofSeparation
#align normed_add_comm_group.of_separation NormedAddCommGroup.ofSeparation
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a translation-invariant distance."]
def SeminormedGroup.ofMulDist [Norm E] [Group E] [PseudoMetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) :
SeminormedGroup E where
dist_eq x y := by
rw [h₁]; apply le_antisymm
· simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _
· simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y
#align seminormed_group.of_mul_dist SeminormedGroup.ofMulDist
#align seminormed_add_group.of_add_dist SeminormedAddGroup.ofAddDist
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a translation-invariant pseudodistance."]
def SeminormedGroup.ofMulDist' [Norm E] [Group E] [PseudoMetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) :
SeminormedGroup E where
dist_eq x y := by
rw [h₁]; apply le_antisymm
· simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y
· simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _
#align seminormed_group.of_mul_dist' SeminormedGroup.ofMulDist'
#align seminormed_add_group.of_add_dist' SeminormedAddGroup.ofAddDist'
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a translation-invariant pseudodistance."]
def SeminormedCommGroup.ofMulDist [Norm E] [CommGroup E] [PseudoMetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) :
SeminormedCommGroup E :=
{ SeminormedGroup.ofMulDist h₁ h₂ with
mul_comm := mul_comm }
#align seminormed_comm_group.of_mul_dist SeminormedCommGroup.ofMulDist
#align seminormed_add_comm_group.of_add_dist SeminormedAddCommGroup.ofAddDist
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a translation-invariant pseudodistance."]
def SeminormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [PseudoMetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) :
SeminormedCommGroup E :=
{ SeminormedGroup.ofMulDist' h₁ h₂ with
mul_comm := mul_comm }
#align seminormed_comm_group.of_mul_dist' SeminormedCommGroup.ofMulDist'
#align seminormed_add_comm_group.of_add_dist' SeminormedAddCommGroup.ofAddDist'
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a translation-invariant distance."]
def NormedGroup.ofMulDist [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1)
(h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : NormedGroup E :=
{ SeminormedGroup.ofMulDist h₁ h₂ with
eq_of_dist_eq_zero := eq_of_dist_eq_zero }
#align normed_group.of_mul_dist NormedGroup.ofMulDist
#align normed_add_group.of_add_dist NormedAddGroup.ofAddDist
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a translation-invariant pseudodistance."]
def NormedGroup.ofMulDist' [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1)
(h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : NormedGroup E :=
{ SeminormedGroup.ofMulDist' h₁ h₂ with
eq_of_dist_eq_zero := eq_of_dist_eq_zero }
#align normed_group.of_mul_dist' NormedGroup.ofMulDist'
#align normed_add_group.of_add_dist' NormedAddGroup.ofAddDist'
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a translation-invariant pseudodistance."]
def NormedCommGroup.ofMulDist [Norm E] [CommGroup E] [MetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) :
NormedCommGroup E :=
{ NormedGroup.ofMulDist h₁ h₂ with
mul_comm := mul_comm }
#align normed_comm_group.of_mul_dist NormedCommGroup.ofMulDist
#align normed_add_comm_group.of_add_dist NormedAddCommGroup.ofAddDist
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a translation-invariant pseudodistance."]
def NormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [MetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) :
NormedCommGroup E :=
{ NormedGroup.ofMulDist' h₁ h₂ with
mul_comm := mul_comm }
#align normed_comm_group.of_mul_dist' NormedCommGroup.ofMulDist'
#align normed_add_comm_group.of_add_dist' NormedAddCommGroup.ofAddDist'
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a seminorm, i.e., registering the pseudodistance
and the pseudometric space structure from the seminorm properties. Note that in most cases this
instance creates bad definitional equalities (e.g., it does not take into account a possibly
existing `UniformSpace` instance on `E`)."]
def GroupSeminorm.toSeminormedGroup [Group E] (f : GroupSeminorm E) : SeminormedGroup E where
dist x y := f (x / y)
norm := f
dist_eq x y := rfl
dist_self x := by simp only [div_self', map_one_eq_zero]
dist_triangle := le_map_div_add_map_div f
dist_comm := map_div_rev f
edist_dist x y := by exact ENNReal.coe_nnreal_eq _
-- Porting note: how did `mathlib3` solve this automatically?
#align group_seminorm.to_seminormed_group GroupSeminorm.toSeminormedGroup
#align add_group_seminorm.to_seminormed_add_group AddGroupSeminorm.toSeminormedAddGroup
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a seminorm, i.e., registering the pseudodistance
and the pseudometric space structure from the seminorm properties. Note that in most cases this
instance creates bad definitional equalities (e.g., it does not take into account a possibly
existing `UniformSpace` instance on `E`)."]
def GroupSeminorm.toSeminormedCommGroup [CommGroup E] (f : GroupSeminorm E) :
SeminormedCommGroup E :=
{ f.toSeminormedGroup with
mul_comm := mul_comm }
#align group_seminorm.to_seminormed_comm_group GroupSeminorm.toSeminormedCommGroup
#align add_group_seminorm.to_seminormed_add_comm_group AddGroupSeminorm.toSeminormedAddCommGroup
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a norm, i.e., registering the distance and the metric
space structure from the norm properties. Note that in most cases this instance creates bad
definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace`
instance on `E`)."]
def GroupNorm.toNormedGroup [Group E] (f : GroupNorm E) : NormedGroup E :=
{ f.toGroupSeminorm.toSeminormedGroup with
eq_of_dist_eq_zero := fun h => div_eq_one.1 <| eq_one_of_map_eq_zero f h }
#align group_norm.to_normed_group GroupNorm.toNormedGroup
#align add_group_norm.to_normed_add_group AddGroupNorm.toNormedAddGroup
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a norm, i.e., registering the distance and the metric
space structure from the norm properties. Note that in most cases this instance creates bad
definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace`
instance on `E`)."]
def GroupNorm.toNormedCommGroup [CommGroup E] (f : GroupNorm E) : NormedCommGroup E :=
{ f.toNormedGroup with
mul_comm := mul_comm }
#align group_norm.to_normed_comm_group GroupNorm.toNormedCommGroup
#align add_group_norm.to_normed_add_comm_group AddGroupNorm.toNormedAddCommGroup
instance PUnit.normedAddCommGroup : NormedAddCommGroup PUnit where
norm := Function.const _ 0
dist_eq _ _ := rfl
@[simp]
theorem PUnit.norm_eq_zero (r : PUnit) : ‖r‖ = 0 :=
rfl
#align punit.norm_eq_zero PUnit.norm_eq_zero
section SeminormedGroup
variable [SeminormedGroup E] [SeminormedGroup F] [SeminormedGroup G] {s : Set E}
{a a₁ a₂ b b₁ b₂ : E} {r r₁ r₂ : ℝ}
@[to_additive]
theorem dist_eq_norm_div (a b : E) : dist a b = ‖a / b‖ :=
SeminormedGroup.dist_eq _ _
#align dist_eq_norm_div dist_eq_norm_div
#align dist_eq_norm_sub dist_eq_norm_sub
@[to_additive]
theorem dist_eq_norm_div' (a b : E) : dist a b = ‖b / a‖ := by rw [dist_comm, dist_eq_norm_div]
#align dist_eq_norm_div' dist_eq_norm_div'
#align dist_eq_norm_sub' dist_eq_norm_sub'
alias dist_eq_norm := dist_eq_norm_sub
#align dist_eq_norm dist_eq_norm
alias dist_eq_norm' := dist_eq_norm_sub'
#align dist_eq_norm' dist_eq_norm'
@[to_additive]
instance NormedGroup.to_isometricSMul_right : IsometricSMul Eᵐᵒᵖ E :=
⟨fun a => Isometry.of_dist_eq fun b c => by simp [dist_eq_norm_div]⟩
#align normed_group.to_has_isometric_smul_right NormedGroup.to_isometricSMul_right
#align normed_add_group.to_has_isometric_vadd_right NormedAddGroup.to_isometricVAdd_right
@[to_additive (attr := simp)]
theorem dist_one_right (a : E) : dist a 1 = ‖a‖ := by rw [dist_eq_norm_div, div_one]
#align dist_one_right dist_one_right
#align dist_zero_right dist_zero_right
@[to_additive]
theorem inseparable_one_iff_norm {a : E} : Inseparable a 1 ↔ ‖a‖ = 0 := by
rw [Metric.inseparable_iff, dist_one_right]
@[to_additive (attr := simp)]
theorem dist_one_left : dist (1 : E) = norm :=
funext fun a => by rw [dist_comm, dist_one_right]
#align dist_one_left dist_one_left
#align dist_zero_left dist_zero_left
@[to_additive]
theorem Isometry.norm_map_of_map_one {f : E → F} (hi : Isometry f) (h₁ : f 1 = 1) (x : E) :
‖f x‖ = ‖x‖ := by rw [← dist_one_right, ← h₁, hi.dist_eq, dist_one_right]
#align isometry.norm_map_of_map_one Isometry.norm_map_of_map_one
#align isometry.norm_map_of_map_zero Isometry.norm_map_of_map_zero
@[to_additive (attr := simp) comap_norm_atTop]
theorem comap_norm_atTop' : comap norm atTop = cobounded E := by
simpa only [dist_one_right] using comap_dist_right_atTop (1 : E)
@[to_additive Filter.HasBasis.cobounded_of_norm]
lemma Filter.HasBasis.cobounded_of_norm' {ι : Sort*} {p : ι → Prop} {s : ι → Set ℝ}
(h : HasBasis atTop p s) : HasBasis (cobounded E) p fun i ↦ norm ⁻¹' s i :=
comap_norm_atTop' (E := E) ▸ h.comap _
@[to_additive Filter.hasBasis_cobounded_norm]
lemma Filter.hasBasis_cobounded_norm' : HasBasis (cobounded E) (fun _ ↦ True) ({x | · ≤ ‖x‖}) :=
atTop_basis.cobounded_of_norm'
@[to_additive (attr := simp) tendsto_norm_atTop_iff_cobounded]
theorem tendsto_norm_atTop_iff_cobounded' {f : α → E} {l : Filter α} :
Tendsto (‖f ·‖) l atTop ↔ Tendsto f l (cobounded E) := by
rw [← comap_norm_atTop', tendsto_comap_iff]; rfl
@[to_additive tendsto_norm_cobounded_atTop]
theorem tendsto_norm_cobounded_atTop' : Tendsto norm (cobounded E) atTop :=
tendsto_norm_atTop_iff_cobounded'.2 tendsto_id
@[to_additive eventually_cobounded_le_norm]
lemma eventually_cobounded_le_norm' (a : ℝ) : ∀ᶠ x in cobounded E, a ≤ ‖x‖ :=
tendsto_norm_cobounded_atTop'.eventually_ge_atTop a
@[to_additive tendsto_norm_cocompact_atTop]
theorem tendsto_norm_cocompact_atTop' [ProperSpace E] : Tendsto norm (cocompact E) atTop :=
cobounded_eq_cocompact (α := E) ▸ tendsto_norm_cobounded_atTop'
#align tendsto_norm_cocompact_at_top' tendsto_norm_cocompact_atTop'
#align tendsto_norm_cocompact_at_top tendsto_norm_cocompact_atTop
@[to_additive]
theorem norm_div_rev (a b : E) : ‖a / b‖ = ‖b / a‖ := by
simpa only [dist_eq_norm_div] using dist_comm a b
#align norm_div_rev norm_div_rev
#align norm_sub_rev norm_sub_rev
@[to_additive (attr := simp) norm_neg]
theorem norm_inv' (a : E) : ‖a⁻¹‖ = ‖a‖ := by simpa using norm_div_rev 1 a
#align norm_inv' norm_inv'
#align norm_neg norm_neg
open scoped symmDiff in
@[to_additive]
theorem dist_mulIndicator (s t : Set α) (f : α → E) (x : α) :
dist (s.mulIndicator f x) (t.mulIndicator f x) = ‖(s ∆ t).mulIndicator f x‖ := by
rw [dist_eq_norm_div, Set.apply_mulIndicator_symmDiff norm_inv']
@[to_additive (attr := simp)]
theorem dist_mul_self_right (a b : E) : dist b (a * b) = ‖a‖ := by
rw [← dist_one_left, ← dist_mul_right 1 a b, one_mul]
#align dist_mul_self_right dist_mul_self_right
#align dist_add_self_right dist_add_self_right
@[to_additive (attr := simp)]
theorem dist_mul_self_left (a b : E) : dist (a * b) b = ‖a‖ := by
rw [dist_comm, dist_mul_self_right]
#align dist_mul_self_left dist_mul_self_left
#align dist_add_self_left dist_add_self_left
@[to_additive (attr := simp)]
theorem dist_div_eq_dist_mul_left (a b c : E) : dist (a / b) c = dist a (c * b) := by
rw [← dist_mul_right _ _ b, div_mul_cancel]
#align dist_div_eq_dist_mul_left dist_div_eq_dist_mul_left
#align dist_sub_eq_dist_add_left dist_sub_eq_dist_add_left
@[to_additive (attr := simp)]
theorem dist_div_eq_dist_mul_right (a b c : E) : dist a (b / c) = dist (a * c) b := by
rw [← dist_mul_right _ _ c, div_mul_cancel]
#align dist_div_eq_dist_mul_right dist_div_eq_dist_mul_right
#align dist_sub_eq_dist_add_right dist_sub_eq_dist_add_right
@[to_additive (attr := simp)]
lemma Filter.inv_cobounded : (cobounded E)⁻¹ = cobounded E := by
simp only [← comap_norm_atTop', ← Filter.comap_inv, comap_comap, (· ∘ ·), norm_inv']
@[to_additive "In a (semi)normed group, negation `x ↦ -x` tends to infinity at infinity."]
theorem Filter.tendsto_inv_cobounded : Tendsto Inv.inv (cobounded E) (cobounded E) :=
inv_cobounded.le
#align filter.tendsto_inv_cobounded Filter.tendsto_inv_cobounded
#align filter.tendsto_neg_cobounded Filter.tendsto_neg_cobounded
@[to_additive norm_add_le "**Triangle inequality** for the norm."]
theorem norm_mul_le' (a b : E) : ‖a * b‖ ≤ ‖a‖ + ‖b‖ := by
simpa [dist_eq_norm_div] using dist_triangle a 1 b⁻¹
#align norm_mul_le' norm_mul_le'
#align norm_add_le norm_add_le
@[to_additive]
theorem norm_mul_le_of_le (h₁ : ‖a₁‖ ≤ r₁) (h₂ : ‖a₂‖ ≤ r₂) : ‖a₁ * a₂‖ ≤ r₁ + r₂ :=
(norm_mul_le' a₁ a₂).trans <| add_le_add h₁ h₂
#align norm_mul_le_of_le norm_mul_le_of_le
#align norm_add_le_of_le norm_add_le_of_le
@[to_additive norm_add₃_le]
theorem norm_mul₃_le (a b c : E) : ‖a * b * c‖ ≤ ‖a‖ + ‖b‖ + ‖c‖ :=
norm_mul_le_of_le (norm_mul_le' _ _) le_rfl
#align norm_mul₃_le norm_mul₃_le
#align norm_add₃_le norm_add₃_le
@[to_additive]
lemma norm_div_le_norm_div_add_norm_div (a b c : E) : ‖a / c‖ ≤ ‖a / b‖ + ‖b / c‖ := by
simpa only [dist_eq_norm_div] using dist_triangle a b c
@[to_additive (attr := simp) norm_nonneg]
theorem norm_nonneg' (a : E) : 0 ≤ ‖a‖ := by
rw [← dist_one_right]
exact dist_nonneg
#align norm_nonneg' norm_nonneg'
#align norm_nonneg norm_nonneg
@[to_additive (attr := simp) abs_norm]
theorem abs_norm' (z : E) : |‖z‖| = ‖z‖ := abs_of_nonneg <| norm_nonneg' _
#align abs_norm abs_norm
@[to_additive (attr := simp) norm_zero]
theorem norm_one' : ‖(1 : E)‖ = 0 := by rw [← dist_one_right, dist_self]
#align norm_one' norm_one'
#align norm_zero norm_zero
@[to_additive]
theorem ne_one_of_norm_ne_zero : ‖a‖ ≠ 0 → a ≠ 1 :=
mt <| by
rintro rfl
exact norm_one'
#align ne_one_of_norm_ne_zero ne_one_of_norm_ne_zero
#align ne_zero_of_norm_ne_zero ne_zero_of_norm_ne_zero
@[to_additive (attr := nontriviality) norm_of_subsingleton]
theorem norm_of_subsingleton' [Subsingleton E] (a : E) : ‖a‖ = 0 := by
rw [Subsingleton.elim a 1, norm_one']
#align norm_of_subsingleton' norm_of_subsingleton'
#align norm_of_subsingleton norm_of_subsingleton
@[to_additive zero_lt_one_add_norm_sq]
theorem zero_lt_one_add_norm_sq' (x : E) : 0 < 1 + ‖x‖ ^ 2 := by
positivity
#align zero_lt_one_add_norm_sq' zero_lt_one_add_norm_sq'
#align zero_lt_one_add_norm_sq zero_lt_one_add_norm_sq
@[to_additive]
theorem norm_div_le (a b : E) : ‖a / b‖ ≤ ‖a‖ + ‖b‖ := by
simpa [dist_eq_norm_div] using dist_triangle a 1 b
#align norm_div_le norm_div_le
#align norm_sub_le norm_sub_le
@[to_additive]
theorem norm_div_le_of_le {r₁ r₂ : ℝ} (H₁ : ‖a₁‖ ≤ r₁) (H₂ : ‖a₂‖ ≤ r₂) : ‖a₁ / a₂‖ ≤ r₁ + r₂ :=
(norm_div_le a₁ a₂).trans <| add_le_add H₁ H₂
#align norm_div_le_of_le norm_div_le_of_le
#align norm_sub_le_of_le norm_sub_le_of_le
@[to_additive dist_le_norm_add_norm]
| Mathlib/Analysis/Normed/Group/Basic.lean | 627 | 629 | theorem dist_le_norm_add_norm' (a b : E) : dist a b ≤ ‖a‖ + ‖b‖ := by |
rw [dist_eq_norm_div]
apply norm_div_le
|
import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff
import Mathlib.LinearAlgebra.Matrix.ToLin
#align_import linear_algebra.matrix.charpoly.linear_map from "leanprover-community/mathlib"@"62c0a4ef1441edb463095ea02a06e87f3dfe135c"
variable {ι : Type*} [Fintype ι]
variable {M : Type*} [AddCommGroup M] (R : Type*) [CommRing R] [Module R M] (I : Ideal R)
variable (b : ι → M) (hb : Submodule.span R (Set.range b) = ⊤)
open Polynomial Matrix
def PiToModule.fromMatrix [DecidableEq ι] : Matrix ι ι R →ₗ[R] (ι → R) →ₗ[R] M :=
(LinearMap.llcomp R _ _ _ (Fintype.total R R b)).comp algEquivMatrix'.symm.toLinearMap
#align pi_to_module.from_matrix PiToModule.fromMatrix
theorem PiToModule.fromMatrix_apply [DecidableEq ι] (A : Matrix ι ι R) (w : ι → R) :
PiToModule.fromMatrix R b A w = Fintype.total R R b (A *ᵥ w) :=
rfl
#align pi_to_module.from_matrix_apply PiToModule.fromMatrix_apply
theorem PiToModule.fromMatrix_apply_single_one [DecidableEq ι] (A : Matrix ι ι R) (j : ι) :
PiToModule.fromMatrix R b A (Pi.single j 1) = ∑ i : ι, A i j • b i := by
rw [PiToModule.fromMatrix_apply, Fintype.total_apply, Matrix.mulVec_single]
simp_rw [mul_one]
#align pi_to_module.from_matrix_apply_single_one PiToModule.fromMatrix_apply_single_one
def PiToModule.fromEnd : Module.End R M →ₗ[R] (ι → R) →ₗ[R] M :=
LinearMap.lcomp _ _ (Fintype.total R R b)
#align pi_to_module.from_End PiToModule.fromEnd
theorem PiToModule.fromEnd_apply (f : Module.End R M) (w : ι → R) :
PiToModule.fromEnd R b f w = f (Fintype.total R R b w) :=
rfl
#align pi_to_module.from_End_apply PiToModule.fromEnd_apply
theorem PiToModule.fromEnd_apply_single_one [DecidableEq ι] (f : Module.End R M) (i : ι) :
PiToModule.fromEnd R b f (Pi.single i 1) = f (b i) := by
rw [PiToModule.fromEnd_apply]
congr
convert Fintype.total_apply_single (S := R) R b i (1 : R)
rw [one_smul]
#align pi_to_module.from_End_apply_single_one PiToModule.fromEnd_apply_single_one
theorem PiToModule.fromEnd_injective (hb : Submodule.span R (Set.range b) = ⊤) :
Function.Injective (PiToModule.fromEnd R b) := by
intro x y e
ext m
obtain ⟨m, rfl⟩ : m ∈ LinearMap.range (Fintype.total R R b) := by
rw [(Fintype.range_total R b).trans hb]
exact Submodule.mem_top
exact (LinearMap.congr_fun e m : _)
#align pi_to_module.from_End_injective PiToModule.fromEnd_injective
section
variable {R} [DecidableEq ι]
def Matrix.Represents (A : Matrix ι ι R) (f : Module.End R M) : Prop :=
PiToModule.fromMatrix R b A = PiToModule.fromEnd R b f
#align matrix.represents Matrix.Represents
variable {b}
theorem Matrix.Represents.congr_fun {A : Matrix ι ι R} {f : Module.End R M} (h : A.Represents b f)
(x) : Fintype.total R R b (A *ᵥ x) = f (Fintype.total R R b x) :=
LinearMap.congr_fun h x
#align matrix.represents.congr_fun Matrix.Represents.congr_fun
theorem Matrix.represents_iff {A : Matrix ι ι R} {f : Module.End R M} :
A.Represents b f ↔ ∀ x, Fintype.total R R b (A *ᵥ x) = f (Fintype.total R R b x) :=
⟨fun e x => e.congr_fun x, fun H => LinearMap.ext fun x => H x⟩
#align matrix.represents_iff Matrix.represents_iff
theorem Matrix.represents_iff' {A : Matrix ι ι R} {f : Module.End R M} :
A.Represents b f ↔ ∀ j, ∑ i : ι, A i j • b i = f (b j) := by
constructor
· intro h i
have := LinearMap.congr_fun h (Pi.single i 1)
rwa [PiToModule.fromEnd_apply_single_one, PiToModule.fromMatrix_apply_single_one] at this
· intro h
-- Porting note: was `ext`
refine LinearMap.pi_ext' (fun i => LinearMap.ext_ring ?_)
simp_rw [LinearMap.comp_apply, LinearMap.coe_single, PiToModule.fromEnd_apply_single_one,
PiToModule.fromMatrix_apply_single_one]
apply h
#align matrix.represents_iff' Matrix.represents_iff'
theorem Matrix.Represents.mul {A A' : Matrix ι ι R} {f f' : Module.End R M} (h : A.Represents b f)
(h' : Matrix.Represents b A' f') : (A * A').Represents b (f * f') := by
delta Matrix.Represents PiToModule.fromMatrix
rw [LinearMap.comp_apply, AlgEquiv.toLinearMap_apply, _root_.map_mul]
ext
dsimp [PiToModule.fromEnd]
rw [← h'.congr_fun, ← h.congr_fun]
rfl
#align matrix.represents.mul Matrix.Represents.mul
theorem Matrix.Represents.one : (1 : Matrix ι ι R).Represents b 1 := by
delta Matrix.Represents PiToModule.fromMatrix
rw [LinearMap.comp_apply, AlgEquiv.toLinearMap_apply, _root_.map_one]
ext
rfl
#align matrix.represents.one Matrix.Represents.one
theorem Matrix.Represents.add {A A' : Matrix ι ι R} {f f' : Module.End R M} (h : A.Represents b f)
(h' : Matrix.Represents b A' f') : (A + A').Represents b (f + f') := by
delta Matrix.Represents at h h' ⊢; rw [map_add, map_add, h, h']
#align matrix.represents.add Matrix.Represents.add
| Mathlib/LinearAlgebra/Matrix/Charpoly/LinearMap.lean | 136 | 138 | theorem Matrix.Represents.zero : (0 : Matrix ι ι R).Represents b 0 := by |
delta Matrix.Represents
rw [map_zero, map_zero]
|
import Mathlib.FieldTheory.Finite.Polynomial
import Mathlib.NumberTheory.Basic
import Mathlib.RingTheory.WittVector.WittPolynomial
#align_import ring_theory.witt_vector.structure_polynomial from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
open MvPolynomial Set
open Finset (range)
open Finsupp (single)
-- This lemma reduces a bundled morphism to a "mere" function,
-- and consequently the simplifier cannot use a lot of powerful simp-lemmas.
-- We disable this locally, and probably it should be disabled globally in mathlib.
attribute [-simp] coe_eval₂Hom
variable {p : ℕ} {R : Type*} {idx : Type*} [CommRing R]
open scoped Witt
section PPrime
variable (p) [hp : Fact p.Prime]
-- Notation with ring of coefficients explicit
set_option quotPrecheck false in
@[inherit_doc]
scoped[Witt] notation "W_" => wittPolynomial p
-- Notation with ring of coefficients implicit
set_option quotPrecheck false in
@[inherit_doc]
scoped[Witt] notation "W" => wittPolynomial p _
noncomputable def wittStructureRat (Φ : MvPolynomial idx ℚ) (n : ℕ) : MvPolynomial (idx × ℕ) ℚ :=
bind₁ (fun k => bind₁ (fun i => rename (Prod.mk i) (W_ ℚ k)) Φ) (xInTermsOfW p ℚ n)
#align witt_structure_rat wittStructureRat
theorem wittStructureRat_prop (Φ : MvPolynomial idx ℚ) (n : ℕ) :
bind₁ (wittStructureRat p Φ) (W_ ℚ n) = bind₁ (fun i => rename (Prod.mk i) (W_ ℚ n)) Φ :=
calc
bind₁ (wittStructureRat p Φ) (W_ ℚ n) =
bind₁ (fun k => bind₁ (fun i => (rename (Prod.mk i)) (W_ ℚ k)) Φ)
(bind₁ (xInTermsOfW p ℚ) (W_ ℚ n)) := by
rw [bind₁_bind₁]; exact eval₂Hom_congr (RingHom.ext_rat _ _) rfl rfl
_ = bind₁ (fun i => rename (Prod.mk i) (W_ ℚ n)) Φ := by
rw [bind₁_xInTermsOfW_wittPolynomial p _ n, bind₁_X_right]
#align witt_structure_rat_prop wittStructureRat_prop
theorem wittStructureRat_existsUnique (Φ : MvPolynomial idx ℚ) :
∃! φ : ℕ → MvPolynomial (idx × ℕ) ℚ,
∀ n : ℕ, bind₁ φ (W_ ℚ n) = bind₁ (fun i => rename (Prod.mk i) (W_ ℚ n)) Φ := by
refine ⟨wittStructureRat p Φ, ?_, ?_⟩
· intro n; apply wittStructureRat_prop
· intro φ H
funext n
rw [show φ n = bind₁ φ (bind₁ (W_ ℚ) (xInTermsOfW p ℚ n)) by
rw [bind₁_wittPolynomial_xInTermsOfW p, bind₁_X_right]]
rw [bind₁_bind₁]
exact eval₂Hom_congr (RingHom.ext_rat _ _) (funext H) rfl
#align witt_structure_rat_exists_unique wittStructureRat_existsUnique
theorem wittStructureRat_rec_aux (Φ : MvPolynomial idx ℚ) (n : ℕ) :
wittStructureRat p Φ n * C ((p : ℚ) ^ n) =
bind₁ (fun b => rename (fun i => (b, i)) (W_ ℚ n)) Φ -
∑ i ∈ range n, C ((p : ℚ) ^ i) * wittStructureRat p Φ i ^ p ^ (n - i) := by
have := xInTermsOfW_aux p ℚ n
replace := congr_arg (bind₁ fun k : ℕ => bind₁ (fun i => rename (Prod.mk i) (W_ ℚ k)) Φ) this
rw [AlgHom.map_mul, bind₁_C_right] at this
rw [wittStructureRat, this]; clear this
conv_lhs => simp only [AlgHom.map_sub, bind₁_X_right]
rw [sub_right_inj]
simp only [AlgHom.map_sum, AlgHom.map_mul, bind₁_C_right, AlgHom.map_pow]
rfl
#align witt_structure_rat_rec_aux wittStructureRat_rec_aux
theorem wittStructureRat_rec (Φ : MvPolynomial idx ℚ) (n : ℕ) :
wittStructureRat p Φ n =
C (1 / (p : ℚ) ^ n) *
(bind₁ (fun b => rename (fun i => (b, i)) (W_ ℚ n)) Φ -
∑ i ∈ range n, C ((p : ℚ) ^ i) * wittStructureRat p Φ i ^ p ^ (n - i)) := by
calc
wittStructureRat p Φ n = C (1 / (p : ℚ) ^ n) * (wittStructureRat p Φ n * C ((p : ℚ) ^ n)) := ?_
_ = _ := by rw [wittStructureRat_rec_aux]
rw [mul_left_comm, ← C_mul, div_mul_cancel₀, C_1, mul_one]
exact pow_ne_zero _ (Nat.cast_ne_zero.2 hp.1.ne_zero)
#align witt_structure_rat_rec wittStructureRat_rec
noncomputable def wittStructureInt (Φ : MvPolynomial idx ℤ) (n : ℕ) : MvPolynomial (idx × ℕ) ℤ :=
Finsupp.mapRange Rat.num (Rat.num_intCast 0) (wittStructureRat p (map (Int.castRingHom ℚ) Φ) n)
#align witt_structure_int wittStructureInt
variable {p}
theorem bind₁_rename_expand_wittPolynomial (Φ : MvPolynomial idx ℤ) (n : ℕ)
(IH :
∀ m : ℕ,
m < n + 1 →
map (Int.castRingHom ℚ) (wittStructureInt p Φ m) =
wittStructureRat p (map (Int.castRingHom ℚ) Φ) m) :
bind₁ (fun b => rename (fun i => (b, i)) (expand p (W_ ℤ n))) Φ =
bind₁ (fun i => expand p (wittStructureInt p Φ i)) (W_ ℤ n) := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
simp only [map_bind₁, map_rename, map_expand, rename_expand, map_wittPolynomial]
have key := (wittStructureRat_prop p (map (Int.castRingHom ℚ) Φ) n).symm
apply_fun expand p at key
simp only [expand_bind₁] at key
rw [key]; clear key
apply eval₂Hom_congr' rfl _ rfl
rintro i hi -
rw [wittPolynomial_vars, Finset.mem_range] at hi
simp only [IH i hi]
#align bind₁_rename_expand_witt_polynomial bind₁_rename_expand_wittPolynomial
theorem C_p_pow_dvd_bind₁_rename_wittPolynomial_sub_sum (Φ : MvPolynomial idx ℤ) (n : ℕ)
(IH :
∀ m : ℕ,
m < n →
map (Int.castRingHom ℚ) (wittStructureInt p Φ m) =
wittStructureRat p (map (Int.castRingHom ℚ) Φ) m) :
(C ((p ^ n :) : ℤ) : MvPolynomial (idx × ℕ) ℤ) ∣
bind₁ (fun b : idx => rename (fun i => (b, i)) (wittPolynomial p ℤ n)) Φ -
∑ i ∈ range n, C ((p : ℤ) ^ i) * wittStructureInt p Φ i ^ p ^ (n - i) := by
cases' n with n
· simp only [isUnit_one, Int.ofNat_zero, Int.ofNat_succ, zero_add, pow_zero, C_1, IsUnit.dvd,
Nat.cast_one, Nat.zero_eq]
-- prepare a useful equation for rewriting
have key := bind₁_rename_expand_wittPolynomial Φ n IH
apply_fun map (Int.castRingHom (ZMod (p ^ (n + 1)))) at key
conv_lhs at key => simp only [map_bind₁, map_rename, map_expand, map_wittPolynomial]
-- clean up and massage
rw [C_dvd_iff_zmod, RingHom.map_sub, sub_eq_zero, map_bind₁]
simp only [map_rename, map_wittPolynomial, wittPolynomial_zmod_self]
rw [key]; clear key IH
rw [bind₁, aeval_wittPolynomial, map_sum, map_sum, Finset.sum_congr rfl]
intro k hk
rw [Finset.mem_range, Nat.lt_succ_iff] at hk
-- Porting note (#11083): was much slower
-- simp only [← sub_eq_zero, ← RingHom.map_sub, ← C_dvd_iff_zmod, C_eq_coe_nat, ← mul_sub, ←
-- Nat.cast_pow]
rw [← sub_eq_zero, ← RingHom.map_sub, ← C_dvd_iff_zmod, C_eq_coe_nat, ← Nat.cast_pow,
← Nat.cast_pow, C_eq_coe_nat, ← mul_sub]
have : p ^ (n + 1) = p ^ k * p ^ (n - k + 1) := by
rw [← pow_add, ← add_assoc]; congr 2; rw [add_comm, ← tsub_eq_iff_eq_add_of_le hk]
rw [this]
rw [Nat.cast_mul, Nat.cast_pow, Nat.cast_pow]
apply mul_dvd_mul_left ((p : MvPolynomial (idx × ℕ) ℤ) ^ k)
rw [show p ^ (n + 1 - k) = p * p ^ (n - k) by rw [← pow_succ', ← tsub_add_eq_add_tsub hk]]
rw [pow_mul]
-- the machine!
apply dvd_sub_pow_of_dvd_sub
rw [← C_eq_coe_nat, C_dvd_iff_zmod, RingHom.map_sub, sub_eq_zero, map_expand, RingHom.map_pow,
MvPolynomial.expand_zmod]
set_option linter.uppercaseLean3 false in
#align C_p_pow_dvd_bind₁_rename_witt_polynomial_sub_sum C_p_pow_dvd_bind₁_rename_wittPolynomial_sub_sum
variable (p)
@[simp]
theorem map_wittStructureInt (Φ : MvPolynomial idx ℤ) (n : ℕ) :
map (Int.castRingHom ℚ) (wittStructureInt p Φ n) =
wittStructureRat p (map (Int.castRingHom ℚ) Φ) n := by
induction n using Nat.strong_induction_on with | h n IH => ?_
rw [wittStructureInt, map_mapRange_eq_iff, Int.coe_castRingHom]
intro c
rw [wittStructureRat_rec, coeff_C_mul, mul_comm, mul_div_assoc', mul_one]
have sum_induction_steps :
map (Int.castRingHom ℚ)
(∑ i ∈ range n, C ((p : ℤ) ^ i) * wittStructureInt p Φ i ^ p ^ (n - i)) =
∑ i ∈ range n,
C ((p : ℚ) ^ i) * wittStructureRat p (map (Int.castRingHom ℚ) Φ) i ^ p ^ (n - i) := by
rw [map_sum]
apply Finset.sum_congr rfl
intro i hi
rw [Finset.mem_range] at hi
simp only [IH i hi, RingHom.map_mul, RingHom.map_pow, map_C]
rfl
simp only [← sum_induction_steps, ← map_wittPolynomial p (Int.castRingHom ℚ), ← map_rename, ←
map_bind₁, ← RingHom.map_sub, coeff_map]
rw [show (p : ℚ) ^ n = ((↑(p ^ n) : ℤ) : ℚ) by norm_cast]
rw [← Rat.den_eq_one_iff, eq_intCast, Rat.den_div_intCast_eq_one_iff]
swap; · exact mod_cast pow_ne_zero n hp.1.ne_zero
revert c; rw [← C_dvd_iff_dvd_coeff]
exact C_p_pow_dvd_bind₁_rename_wittPolynomial_sub_sum Φ n IH
#align map_witt_structure_int map_wittStructureInt
theorem wittStructureInt_prop (Φ : MvPolynomial idx ℤ) (n) :
bind₁ (wittStructureInt p Φ) (wittPolynomial p ℤ n) =
bind₁ (fun i => rename (Prod.mk i) (W_ ℤ n)) Φ := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
have := wittStructureRat_prop p (map (Int.castRingHom ℚ) Φ) n
simpa only [map_bind₁, ← eval₂Hom_map_hom, eval₂Hom_C_left, map_rename, map_wittPolynomial,
AlgHom.coe_toRingHom, map_wittStructureInt]
#align witt_structure_int_prop wittStructureInt_prop
theorem eq_wittStructureInt (Φ : MvPolynomial idx ℤ) (φ : ℕ → MvPolynomial (idx × ℕ) ℤ)
(h : ∀ n, bind₁ φ (wittPolynomial p ℤ n) = bind₁ (fun i => rename (Prod.mk i) (W_ ℤ n)) Φ) :
φ = wittStructureInt p Φ := by
funext k
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
rw [map_wittStructureInt]
-- Porting note: was `refine' congr_fun _ k`
revert k
refine congr_fun ?_
apply ExistsUnique.unique (wittStructureRat_existsUnique p (map (Int.castRingHom ℚ) Φ))
· intro n
specialize h n
apply_fun map (Int.castRingHom ℚ) at h
simpa only [map_bind₁, ← eval₂Hom_map_hom, eval₂Hom_C_left, map_rename, map_wittPolynomial,
AlgHom.coe_toRingHom] using h
· intro n; apply wittStructureRat_prop
#align eq_witt_structure_int eq_wittStructureInt
theorem wittStructureInt_existsUnique (Φ : MvPolynomial idx ℤ) :
∃! φ : ℕ → MvPolynomial (idx × ℕ) ℤ,
∀ n : ℕ,
bind₁ φ (wittPolynomial p ℤ n) = bind₁ (fun i : idx => rename (Prod.mk i) (W_ ℤ n)) Φ :=
⟨wittStructureInt p Φ, wittStructureInt_prop _ _, eq_wittStructureInt _ _⟩
#align witt_structure_int_exists_unique wittStructureInt_existsUnique
theorem witt_structure_prop (Φ : MvPolynomial idx ℤ) (n) :
aeval (fun i => map (Int.castRingHom R) (wittStructureInt p Φ i)) (wittPolynomial p ℤ n) =
aeval (fun i => rename (Prod.mk i) (W n)) Φ := by
convert congr_arg (map (Int.castRingHom R)) (wittStructureInt_prop p Φ n) using 1 <;>
rw [hom_bind₁] <;>
apply eval₂Hom_congr (RingHom.ext_int _ _) _ rfl
· rfl
· simp only [map_rename, map_wittPolynomial]
#align witt_structure_prop witt_structure_prop
theorem wittStructureInt_rename {σ : Type*} (Φ : MvPolynomial idx ℤ) (f : idx → σ) (n : ℕ) :
wittStructureInt p (rename f Φ) n = rename (Prod.map f id) (wittStructureInt p Φ n) := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
simp only [map_rename, map_wittStructureInt, wittStructureRat, rename_bind₁, rename_rename,
bind₁_rename]
rfl
#align witt_structure_int_rename wittStructureInt_rename
@[simp]
theorem constantCoeff_wittStructureRat_zero (Φ : MvPolynomial idx ℚ) :
constantCoeff (wittStructureRat p Φ 0) = constantCoeff Φ := by
simp only [wittStructureRat, bind₁, map_aeval, xInTermsOfW_zero, constantCoeff_rename,
constantCoeff_wittPolynomial, aeval_X, constantCoeff_comp_algebraMap, eval₂Hom_zero'_apply,
RingHom.id_apply]
#align constant_coeff_witt_structure_rat_zero constantCoeff_wittStructureRat_zero
theorem constantCoeff_wittStructureRat (Φ : MvPolynomial idx ℚ) (h : constantCoeff Φ = 0) (n : ℕ) :
constantCoeff (wittStructureRat p Φ n) = 0 := by
simp only [wittStructureRat, eval₂Hom_zero'_apply, h, bind₁, map_aeval, constantCoeff_rename,
constantCoeff_wittPolynomial, constantCoeff_comp_algebraMap, RingHom.id_apply,
constantCoeff_xInTermsOfW]
#align constant_coeff_witt_structure_rat constantCoeff_wittStructureRat
@[simp]
theorem constantCoeff_wittStructureInt_zero (Φ : MvPolynomial idx ℤ) :
constantCoeff (wittStructureInt p Φ 0) = constantCoeff Φ := by
have inj : Function.Injective (Int.castRingHom ℚ) := by intro m n; exact Int.cast_inj.mp
apply inj
rw [← constantCoeff_map, map_wittStructureInt, constantCoeff_wittStructureRat_zero,
constantCoeff_map]
#align constant_coeff_witt_structure_int_zero constantCoeff_wittStructureInt_zero
| Mathlib/RingTheory/WittVector/StructurePolynomial.lean | 377 | 382 | theorem constantCoeff_wittStructureInt (Φ : MvPolynomial idx ℤ) (h : constantCoeff Φ = 0) (n : ℕ) :
constantCoeff (wittStructureInt p Φ n) = 0 := by |
have inj : Function.Injective (Int.castRingHom ℚ) := by intro m n; exact Int.cast_inj.mp
apply inj
rw [← constantCoeff_map, map_wittStructureInt, constantCoeff_wittStructureRat, RingHom.map_zero]
rw [constantCoeff_map, h, RingHom.map_zero]
|
import Mathlib.MeasureTheory.Integral.IntervalIntegral
#align_import measure_theory.integral.layercake from "leanprover-community/mathlib"@"08a4542bec7242a5c60f179e4e49de8c0d677b1b"
noncomputable section
open scoped ENNReal MeasureTheory Topology
open Set MeasureTheory Filter Measure
namespace MeasureTheory
section
variable {α R : Type*} [MeasurableSpace α] (μ : Measure α) [LinearOrder R]
theorem countable_meas_le_ne_meas_lt (g : α → R) :
{t : R | μ {a : α | t ≤ g a} ≠ μ {a : α | t < g a}}.Countable := by
-- the target set is contained in the set of points where the function `t ↦ μ {a : α | t ≤ g a}`
-- jumps down on the right of `t`. This jump set is countable for any function.
let F : R → ℝ≥0∞ := fun t ↦ μ {a : α | t ≤ g a}
apply (countable_image_gt_image_Ioi F).mono
intro t ht
have : μ {a | t < g a} < μ {a | t ≤ g a} :=
lt_of_le_of_ne (measure_mono (fun a ha ↦ le_of_lt ha)) (Ne.symm ht)
exact ⟨μ {a | t < g a}, this, fun s hs ↦ measure_mono (fun a ha ↦ hs.trans_le ha)⟩
theorem meas_le_ae_eq_meas_lt {R : Type*} [LinearOrder R] [MeasurableSpace R]
(ν : Measure R) [NoAtoms ν] (g : α → R) :
(fun t => μ {a : α | t ≤ g a}) =ᵐ[ν] fun t => μ {a : α | t < g a} :=
Set.Countable.measure_zero (countable_meas_le_ne_meas_lt μ g) _
end
section Layercake
variable {α : Type*} [MeasurableSpace α] {f : α → ℝ} {g : ℝ → ℝ} {s : Set α}
| Mathlib/MeasureTheory/Integral/Layercake.lean | 105 | 183 | theorem lintegral_comp_eq_lintegral_meas_le_mul_of_measurable_of_sigmaFinite
(μ : Measure α) [SigmaFinite μ]
(f_nn : 0 ≤ f) (f_mble : Measurable f)
(g_intble : ∀ t > 0, IntervalIntegrable g volume 0 t) (g_mble : Measurable g)
(g_nn : ∀ t > 0, 0 ≤ g t) :
∫⁻ ω, ENNReal.ofReal (∫ t in (0)..f ω, g t) ∂μ =
∫⁻ t in Ioi 0, μ {a : α | t ≤ f a} * ENNReal.ofReal (g t) := by |
have g_intble' : ∀ t : ℝ, 0 ≤ t → IntervalIntegrable g volume 0 t := by
intro t ht
cases' eq_or_lt_of_le ht with h h
· simp [← h]
· exact g_intble t h
have integrand_eq : ∀ ω,
ENNReal.ofReal (∫ t in (0)..f ω, g t) = ∫⁻ t in Ioc 0 (f ω), ENNReal.ofReal (g t) := by
intro ω
have g_ae_nn : 0 ≤ᵐ[volume.restrict (Ioc 0 (f ω))] g := by
filter_upwards [self_mem_ae_restrict (measurableSet_Ioc : MeasurableSet (Ioc 0 (f ω)))]
with x hx using g_nn x hx.1
rw [← ofReal_integral_eq_lintegral_ofReal (g_intble' (f ω) (f_nn ω)).1 g_ae_nn]
congr
exact intervalIntegral.integral_of_le (f_nn ω)
rw [lintegral_congr integrand_eq]
simp_rw [← lintegral_indicator (fun t => ENNReal.ofReal (g t)) measurableSet_Ioc]
-- Porting note: was part of `simp_rw` on the previous line, but didn't trigger.
rw [← lintegral_indicator _ measurableSet_Ioi, lintegral_lintegral_swap]
· apply congr_arg
funext s
have aux₁ :
(fun x => (Ioc 0 (f x)).indicator (fun t : ℝ => ENNReal.ofReal (g t)) s) = fun x =>
ENNReal.ofReal (g s) * (Ioi (0 : ℝ)).indicator (fun _ => 1) s *
(Ici s).indicator (fun _ : ℝ => (1 : ℝ≥0∞)) (f x) := by
funext a
by_cases h : s ∈ Ioc (0 : ℝ) (f a)
· simp only [h, show s ∈ Ioi (0 : ℝ) from h.1, show f a ∈ Ici s from h.2, indicator_of_mem,
mul_one]
· have h_copy := h
simp only [mem_Ioc, not_and, not_le] at h
by_cases h' : 0 < s
· simp only [h_copy, h h', indicator_of_not_mem, not_false_iff, mem_Ici, not_le, mul_zero]
· have : s ∉ Ioi (0 : ℝ) := h'
simp only [this, h', indicator_of_not_mem, not_false_iff, mul_zero,
zero_mul, mem_Ioc, false_and_iff]
simp_rw [aux₁]
rw [lintegral_const_mul']
swap;
· apply ENNReal.mul_ne_top ENNReal.ofReal_ne_top
by_cases h : (0 : ℝ) < s <;> · simp [h]
simp_rw [show
(fun a => (Ici s).indicator (fun _ : ℝ => (1 : ℝ≥0∞)) (f a)) = fun a =>
{a : α | s ≤ f a}.indicator (fun _ => 1) a
by funext a; by_cases h : s ≤ f a <;> simp [h]]
rw [lintegral_indicator₀]
swap; · exact f_mble.nullMeasurable measurableSet_Ici
rw [lintegral_one, Measure.restrict_apply MeasurableSet.univ, univ_inter, indicator_mul_left,
mul_assoc,
show
(Ioi 0).indicator (fun _x : ℝ => (1 : ℝ≥0∞)) s * μ {a : α | s ≤ f a} =
(Ioi 0).indicator (fun _x : ℝ => 1 * μ {a : α | s ≤ f a}) s
by by_cases h : 0 < s <;> simp [h]]
simp_rw [mul_comm _ (ENNReal.ofReal _), one_mul]
rfl
have aux₂ :
(Function.uncurry fun (x : α) (y : ℝ) =>
(Ioc 0 (f x)).indicator (fun t : ℝ => ENNReal.ofReal (g t)) y) =
{p : α × ℝ | p.2 ∈ Ioc 0 (f p.1)}.indicator fun p => ENNReal.ofReal (g p.2) := by
funext p
cases p with | mk p_fst p_snd => ?_
rw [Function.uncurry_apply_pair]
by_cases h : p_snd ∈ Ioc 0 (f p_fst)
· have h' : (p_fst, p_snd) ∈ {p : α × ℝ | p.snd ∈ Ioc 0 (f p.fst)} := h
rw [Set.indicator_of_mem h', Set.indicator_of_mem h]
· have h' : (p_fst, p_snd) ∉ {p : α × ℝ | p.snd ∈ Ioc 0 (f p.fst)} := h
rw [Set.indicator_of_not_mem h', Set.indicator_of_not_mem h]
rw [aux₂]
have mble₀ : MeasurableSet {p : α × ℝ | p.snd ∈ Ioc 0 (f p.fst)} := by
simpa only [mem_univ, Pi.zero_apply, gt_iff_lt, not_lt, ge_iff_le, true_and] using
measurableSet_region_between_oc measurable_zero f_mble MeasurableSet.univ
exact (ENNReal.measurable_ofReal.comp (g_mble.comp measurable_snd)).aemeasurable.indicator₀
mble₀.nullMeasurableSet
|
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Fintype.Vector
import Mathlib.Data.Multiset.Sym
#align_import data.finset.sym from "leanprover-community/mathlib"@"02ba8949f486ebecf93fe7460f1ed0564b5e442c"
namespace Finset
variable {α : Type*}
@[simps]
protected def sym2 (s : Finset α) : Finset (Sym2 α) := ⟨s.1.sym2, s.2.sym2⟩
#align finset.sym2 Finset.sym2
section
variable {s t : Finset α} {a b : α}
theorem mk_mem_sym2_iff : s(a, b) ∈ s.sym2 ↔ a ∈ s ∧ b ∈ s := by
rw [mem_mk, sym2_val, Multiset.mk_mem_sym2_iff, mem_mk, mem_mk]
#align finset.mk_mem_sym2_iff Finset.mk_mem_sym2_iff
@[simp]
theorem mem_sym2_iff {m : Sym2 α} : m ∈ s.sym2 ↔ ∀ a ∈ m, a ∈ s := by
rw [mem_mk, sym2_val, Multiset.mem_sym2_iff]
simp only [mem_val]
#align finset.mem_sym2_iff Finset.mem_sym2_iff
instance _root_.Sym2.instFintype [Fintype α] : Fintype (Sym2 α) where
elems := Finset.univ.sym2
complete := fun x ↦ by rw [mem_sym2_iff]; exact (fun a _ ↦ mem_univ a)
-- Note(kmill): Using a default argument to make this simp lemma more general.
@[simp]
theorem sym2_univ [Fintype α] (inst : Fintype (Sym2 α) := Sym2.instFintype) :
(univ : Finset α).sym2 = univ := by
ext
simp only [mem_sym2_iff, mem_univ, implies_true]
#align finset.sym2_univ Finset.sym2_univ
@[simp, mono]
| Mathlib/Data/Finset/Sym.lean | 69 | 72 | theorem sym2_mono (h : s ⊆ t) : s.sym2 ⊆ t.sym2 := by |
rw [← val_le_iff, sym2_val, sym2_val]
apply Multiset.sym2_mono
rwa [val_le_iff]
|
import Mathlib.NumberTheory.LegendreSymbol.Basic
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.GaussSum
#align_import number_theory.legendre_symbol.quadratic_reciprocity from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9"
open Nat
section Values
variable {p : ℕ} [Fact p.Prime]
open ZMod
namespace ZMod
variable (hp : p ≠ 2)
theorem exists_sq_eq_two_iff : IsSquare (2 : ZMod p) ↔ p % 8 = 1 ∨ p % 8 = 7 := by
rw [FiniteField.isSquare_two_iff, card p]
have h₁ := Prime.mod_two_eq_one_iff_ne_two.mpr hp
rw [← mod_mod_of_dvd p (by decide : 2 ∣ 8)] at h₁
have h₂ := mod_lt p (by norm_num : 0 < 8)
revert h₂ h₁
generalize p % 8 = m; clear! p
intros; interval_cases m <;> simp_all -- Porting note (#11043): was `decide!`
#align zmod.exists_sq_eq_two_iff ZMod.exists_sq_eq_two_iff
| Mathlib/NumberTheory/LegendreSymbol/QuadraticReciprocity.lean | 89 | 96 | theorem exists_sq_eq_neg_two_iff : IsSquare (-2 : ZMod p) ↔ p % 8 = 1 ∨ p % 8 = 3 := by |
rw [FiniteField.isSquare_neg_two_iff, card p]
have h₁ := Prime.mod_two_eq_one_iff_ne_two.mpr hp
rw [← mod_mod_of_dvd p (by decide : 2 ∣ 8)] at h₁
have h₂ := mod_lt p (by norm_num : 0 < 8)
revert h₂ h₁
generalize p % 8 = m; clear! p
intros; interval_cases m <;> simp_all -- Porting note (#11043): was `decide!`
|
import Mathlib.Algebra.ModEq
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Order.Archimedean
import Mathlib.Algebra.Periodic
import Mathlib.Data.Int.SuccPred
import Mathlib.GroupTheory.QuotientGroup
import Mathlib.Order.Circular
import Mathlib.Data.List.TFAE
import Mathlib.Data.Set.Lattice
#align_import algebra.order.to_interval_mod from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec"
noncomputable section
section LinearOrderedAddCommGroup
variable {α : Type*} [LinearOrderedAddCommGroup α] [hα : Archimedean α] {p : α} (hp : 0 < p)
{a b c : α} {n : ℤ}
def toIcoDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose
#align to_Ico_div toIcoDiv
theorem sub_toIcoDiv_zsmul_mem_Ico (a b : α) : b - toIcoDiv hp a b • p ∈ Set.Ico a (a + p) :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.1
#align sub_to_Ico_div_zsmul_mem_Ico sub_toIcoDiv_zsmul_mem_Ico
theorem toIcoDiv_eq_of_sub_zsmul_mem_Ico (h : b - n • p ∈ Set.Ico a (a + p)) :
toIcoDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.2 _ h).symm
#align to_Ico_div_eq_of_sub_zsmul_mem_Ico toIcoDiv_eq_of_sub_zsmul_mem_Ico
def toIocDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose
#align to_Ioc_div toIocDiv
theorem sub_toIocDiv_zsmul_mem_Ioc (a b : α) : b - toIocDiv hp a b • p ∈ Set.Ioc a (a + p) :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.1
#align sub_to_Ioc_div_zsmul_mem_Ioc sub_toIocDiv_zsmul_mem_Ioc
theorem toIocDiv_eq_of_sub_zsmul_mem_Ioc (h : b - n • p ∈ Set.Ioc a (a + p)) :
toIocDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.2 _ h).symm
#align to_Ioc_div_eq_of_sub_zsmul_mem_Ioc toIocDiv_eq_of_sub_zsmul_mem_Ioc
def toIcoMod (a b : α) : α :=
b - toIcoDiv hp a b • p
#align to_Ico_mod toIcoMod
def toIocMod (a b : α) : α :=
b - toIocDiv hp a b • p
#align to_Ioc_mod toIocMod
theorem toIcoMod_mem_Ico (a b : α) : toIcoMod hp a b ∈ Set.Ico a (a + p) :=
sub_toIcoDiv_zsmul_mem_Ico hp a b
#align to_Ico_mod_mem_Ico toIcoMod_mem_Ico
theorem toIcoMod_mem_Ico' (b : α) : toIcoMod hp 0 b ∈ Set.Ico 0 p := by
convert toIcoMod_mem_Ico hp 0 b
exact (zero_add p).symm
#align to_Ico_mod_mem_Ico' toIcoMod_mem_Ico'
theorem toIocMod_mem_Ioc (a b : α) : toIocMod hp a b ∈ Set.Ioc a (a + p) :=
sub_toIocDiv_zsmul_mem_Ioc hp a b
#align to_Ioc_mod_mem_Ioc toIocMod_mem_Ioc
theorem left_le_toIcoMod (a b : α) : a ≤ toIcoMod hp a b :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).1
#align left_le_to_Ico_mod left_le_toIcoMod
theorem left_lt_toIocMod (a b : α) : a < toIocMod hp a b :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).1
#align left_lt_to_Ioc_mod left_lt_toIocMod
theorem toIcoMod_lt_right (a b : α) : toIcoMod hp a b < a + p :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).2
#align to_Ico_mod_lt_right toIcoMod_lt_right
theorem toIocMod_le_right (a b : α) : toIocMod hp a b ≤ a + p :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).2
#align to_Ioc_mod_le_right toIocMod_le_right
@[simp]
theorem self_sub_toIcoDiv_zsmul (a b : α) : b - toIcoDiv hp a b • p = toIcoMod hp a b :=
rfl
#align self_sub_to_Ico_div_zsmul self_sub_toIcoDiv_zsmul
@[simp]
theorem self_sub_toIocDiv_zsmul (a b : α) : b - toIocDiv hp a b • p = toIocMod hp a b :=
rfl
#align self_sub_to_Ioc_div_zsmul self_sub_toIocDiv_zsmul
@[simp]
theorem toIcoDiv_zsmul_sub_self (a b : α) : toIcoDiv hp a b • p - b = -toIcoMod hp a b := by
rw [toIcoMod, neg_sub]
#align to_Ico_div_zsmul_sub_self toIcoDiv_zsmul_sub_self
@[simp]
theorem toIocDiv_zsmul_sub_self (a b : α) : toIocDiv hp a b • p - b = -toIocMod hp a b := by
rw [toIocMod, neg_sub]
#align to_Ioc_div_zsmul_sub_self toIocDiv_zsmul_sub_self
@[simp]
theorem toIcoMod_sub_self (a b : α) : toIcoMod hp a b - b = -toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel_left, neg_smul]
#align to_Ico_mod_sub_self toIcoMod_sub_self
@[simp]
theorem toIocMod_sub_self (a b : α) : toIocMod hp a b - b = -toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel_left, neg_smul]
#align to_Ioc_mod_sub_self toIocMod_sub_self
@[simp]
theorem self_sub_toIcoMod (a b : α) : b - toIcoMod hp a b = toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel]
#align self_sub_to_Ico_mod self_sub_toIcoMod
@[simp]
theorem self_sub_toIocMod (a b : α) : b - toIocMod hp a b = toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel]
#align self_sub_to_Ioc_mod self_sub_toIocMod
@[simp]
theorem toIcoMod_add_toIcoDiv_zsmul (a b : α) : toIcoMod hp a b + toIcoDiv hp a b • p = b := by
rw [toIcoMod, sub_add_cancel]
#align to_Ico_mod_add_to_Ico_div_zsmul toIcoMod_add_toIcoDiv_zsmul
@[simp]
theorem toIocMod_add_toIocDiv_zsmul (a b : α) : toIocMod hp a b + toIocDiv hp a b • p = b := by
rw [toIocMod, sub_add_cancel]
#align to_Ioc_mod_add_to_Ioc_div_zsmul toIocMod_add_toIocDiv_zsmul
@[simp]
theorem toIcoDiv_zsmul_sub_toIcoMod (a b : α) : toIcoDiv hp a b • p + toIcoMod hp a b = b := by
rw [add_comm, toIcoMod_add_toIcoDiv_zsmul]
#align to_Ico_div_zsmul_sub_to_Ico_mod toIcoDiv_zsmul_sub_toIcoMod
@[simp]
theorem toIocDiv_zsmul_sub_toIocMod (a b : α) : toIocDiv hp a b • p + toIocMod hp a b = b := by
rw [add_comm, toIocMod_add_toIocDiv_zsmul]
#align to_Ioc_div_zsmul_sub_to_Ioc_mod toIocDiv_zsmul_sub_toIocMod
theorem toIcoMod_eq_iff : toIcoMod hp a b = c ↔ c ∈ Set.Ico a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIcoMod_mem_Ico hp a b, toIcoDiv hp a b, h ▸ (toIcoMod_add_toIcoDiv_zsmul _ _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIcoDiv_eq_of_sub_zsmul_mem_Ico hp hc, toIcoMod]
#align to_Ico_mod_eq_iff toIcoMod_eq_iff
theorem toIocMod_eq_iff : toIocMod hp a b = c ↔ c ∈ Set.Ioc a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIocMod_mem_Ioc hp a b, toIocDiv hp a b, h ▸ (toIocMod_add_toIocDiv_zsmul hp _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIocDiv_eq_of_sub_zsmul_mem_Ioc hp hc, toIocMod]
#align to_Ioc_mod_eq_iff toIocMod_eq_iff
@[simp]
theorem toIcoDiv_apply_left (a : α) : toIcoDiv hp a a = 0 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
#align to_Ico_div_apply_left toIcoDiv_apply_left
@[simp]
theorem toIocDiv_apply_left (a : α) : toIocDiv hp a a = -1 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
#align to_Ioc_div_apply_left toIocDiv_apply_left
@[simp]
theorem toIcoMod_apply_left (a : α) : toIcoMod hp a a = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
#align to_Ico_mod_apply_left toIcoMod_apply_left
@[simp]
theorem toIocMod_apply_left (a : α) : toIocMod hp a a = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, -1, by simp⟩
#align to_Ioc_mod_apply_left toIocMod_apply_left
theorem toIcoDiv_apply_right (a : α) : toIcoDiv hp a (a + p) = 1 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
#align to_Ico_div_apply_right toIcoDiv_apply_right
theorem toIocDiv_apply_right (a : α) : toIocDiv hp a (a + p) = 0 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
#align to_Ioc_div_apply_right toIocDiv_apply_right
theorem toIcoMod_apply_right (a : α) : toIcoMod hp a (a + p) = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 1, by simp⟩
#align to_Ico_mod_apply_right toIcoMod_apply_right
theorem toIocMod_apply_right (a : α) : toIocMod hp a (a + p) = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
#align to_Ioc_mod_apply_right toIocMod_apply_right
@[simp]
theorem toIcoDiv_add_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b + m • p) = toIcoDiv hp a b + m :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIcoDiv_zsmul_mem_Ico hp a b
#align to_Ico_div_add_zsmul toIcoDiv_add_zsmul
@[simp]
theorem toIcoDiv_add_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a + m • p) b = toIcoDiv hp a b - m := by
refine toIcoDiv_eq_of_sub_zsmul_mem_Ico _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIcoDiv_zsmul_mem_Ico hp a b
#align to_Ico_div_add_zsmul' toIcoDiv_add_zsmul'
@[simp]
theorem toIocDiv_add_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b + m • p) = toIocDiv hp a b + m :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIocDiv_zsmul_mem_Ioc hp a b
#align to_Ioc_div_add_zsmul toIocDiv_add_zsmul
@[simp]
theorem toIocDiv_add_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a + m • p) b = toIocDiv hp a b - m := by
refine toIocDiv_eq_of_sub_zsmul_mem_Ioc _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIocDiv_zsmul_mem_Ioc hp a b
#align to_Ioc_div_add_zsmul' toIocDiv_add_zsmul'
@[simp]
theorem toIcoDiv_zsmul_add (a b : α) (m : ℤ) : toIcoDiv hp a (m • p + b) = m + toIcoDiv hp a b := by
rw [add_comm, toIcoDiv_add_zsmul, add_comm]
#align to_Ico_div_zsmul_add toIcoDiv_zsmul_add
@[simp]
theorem toIocDiv_zsmul_add (a b : α) (m : ℤ) : toIocDiv hp a (m • p + b) = m + toIocDiv hp a b := by
rw [add_comm, toIocDiv_add_zsmul, add_comm]
#align to_Ioc_div_zsmul_add toIocDiv_zsmul_add
@[simp]
theorem toIcoDiv_sub_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b - m • p) = toIcoDiv hp a b - m := by
rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul, sub_eq_add_neg]
#align to_Ico_div_sub_zsmul toIcoDiv_sub_zsmul
@[simp]
theorem toIcoDiv_sub_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a - m • p) b = toIcoDiv hp a b + m := by
rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul', sub_neg_eq_add]
#align to_Ico_div_sub_zsmul' toIcoDiv_sub_zsmul'
@[simp]
theorem toIocDiv_sub_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b - m • p) = toIocDiv hp a b - m := by
rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul, sub_eq_add_neg]
#align to_Ioc_div_sub_zsmul toIocDiv_sub_zsmul
@[simp]
theorem toIocDiv_sub_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a - m • p) b = toIocDiv hp a b + m := by
rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul', sub_neg_eq_add]
#align to_Ioc_div_sub_zsmul' toIocDiv_sub_zsmul'
@[simp]
theorem toIcoDiv_add_right (a b : α) : toIcoDiv hp a (b + p) = toIcoDiv hp a b + 1 := by
simpa only [one_zsmul] using toIcoDiv_add_zsmul hp a b 1
#align to_Ico_div_add_right toIcoDiv_add_right
@[simp]
theorem toIcoDiv_add_right' (a b : α) : toIcoDiv hp (a + p) b = toIcoDiv hp a b - 1 := by
simpa only [one_zsmul] using toIcoDiv_add_zsmul' hp a b 1
#align to_Ico_div_add_right' toIcoDiv_add_right'
@[simp]
theorem toIocDiv_add_right (a b : α) : toIocDiv hp a (b + p) = toIocDiv hp a b + 1 := by
simpa only [one_zsmul] using toIocDiv_add_zsmul hp a b 1
#align to_Ioc_div_add_right toIocDiv_add_right
@[simp]
theorem toIocDiv_add_right' (a b : α) : toIocDiv hp (a + p) b = toIocDiv hp a b - 1 := by
simpa only [one_zsmul] using toIocDiv_add_zsmul' hp a b 1
#align to_Ioc_div_add_right' toIocDiv_add_right'
@[simp]
theorem toIcoDiv_add_left (a b : α) : toIcoDiv hp a (p + b) = toIcoDiv hp a b + 1 := by
rw [add_comm, toIcoDiv_add_right]
#align to_Ico_div_add_left toIcoDiv_add_left
@[simp]
theorem toIcoDiv_add_left' (a b : α) : toIcoDiv hp (p + a) b = toIcoDiv hp a b - 1 := by
rw [add_comm, toIcoDiv_add_right']
#align to_Ico_div_add_left' toIcoDiv_add_left'
@[simp]
theorem toIocDiv_add_left (a b : α) : toIocDiv hp a (p + b) = toIocDiv hp a b + 1 := by
rw [add_comm, toIocDiv_add_right]
#align to_Ioc_div_add_left toIocDiv_add_left
@[simp]
theorem toIocDiv_add_left' (a b : α) : toIocDiv hp (p + a) b = toIocDiv hp a b - 1 := by
rw [add_comm, toIocDiv_add_right']
#align to_Ioc_div_add_left' toIocDiv_add_left'
@[simp]
| Mathlib/Algebra/Order/ToIntervalMod.lean | 339 | 340 | theorem toIcoDiv_sub (a b : α) : toIcoDiv hp a (b - p) = toIcoDiv hp a b - 1 := by |
simpa only [one_zsmul] using toIcoDiv_sub_zsmul hp a b 1
|
import Mathlib.Data.Nat.Squarefree
import Mathlib.NumberTheory.Zsqrtd.QuadraticReciprocity
import Mathlib.Tactic.LinearCombination
#align_import number_theory.sum_two_squares from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9"
section NegOneSquare
-- This could be formulated for a general integer `a` in place of `-1`,
-- but it would not directly specialize to `-1`,
-- because `((-1 : ℤ) : ZMod n)` is not the same as `(-1 : ZMod n)`.
theorem ZMod.isSquare_neg_one_of_dvd {m n : ℕ} (hd : m ∣ n) (hs : IsSquare (-1 : ZMod n)) :
IsSquare (-1 : ZMod m) := by
let f : ZMod n →+* ZMod m := ZMod.castHom hd _
rw [← RingHom.map_one f, ← RingHom.map_neg]
exact hs.map f
#align zmod.is_square_neg_one_of_dvd ZMod.isSquare_neg_one_of_dvd
theorem ZMod.isSquare_neg_one_mul {m n : ℕ} (hc : m.Coprime n) (hm : IsSquare (-1 : ZMod m))
(hn : IsSquare (-1 : ZMod n)) : IsSquare (-1 : ZMod (m * n)) := by
have : IsSquare (-1 : ZMod m × ZMod n) := by
rw [show (-1 : ZMod m × ZMod n) = ((-1 : ZMod m), (-1 : ZMod n)) from rfl]
obtain ⟨x, hx⟩ := hm
obtain ⟨y, hy⟩ := hn
rw [hx, hy]
exact ⟨(x, y), rfl⟩
simpa only [RingEquiv.map_neg_one] using this.map (ZMod.chineseRemainder hc).symm
#align zmod.is_square_neg_one_mul ZMod.isSquare_neg_one_mul
theorem Nat.Prime.mod_four_ne_three_of_dvd_isSquare_neg_one {p n : ℕ} (hpp : p.Prime) (hp : p ∣ n)
(hs : IsSquare (-1 : ZMod n)) : p % 4 ≠ 3 := by
obtain ⟨y, h⟩ := ZMod.isSquare_neg_one_of_dvd hp hs
rw [← sq, eq_comm, show (-1 : ZMod p) = -1 ^ 2 by ring] at h
haveI : Fact p.Prime := ⟨hpp⟩
exact ZMod.mod_four_ne_three_of_sq_eq_neg_sq' one_ne_zero h
#align nat.prime.mod_four_ne_three_of_dvd_is_square_neg_one Nat.Prime.mod_four_ne_three_of_dvd_isSquare_neg_one
theorem ZMod.isSquare_neg_one_iff {n : ℕ} (hn : Squarefree n) :
IsSquare (-1 : ZMod n) ↔ ∀ {q : ℕ}, q.Prime → q ∣ n → q % 4 ≠ 3 := by
refine ⟨fun H q hqp hqd => hqp.mod_four_ne_three_of_dvd_isSquare_neg_one hqd H, fun H => ?_⟩
induction' n using induction_on_primes with p n hpp ih
· exact False.elim (hn.ne_zero rfl)
· exact ⟨0, by simp only [mul_zero, eq_iff_true_of_subsingleton]⟩
· haveI : Fact p.Prime := ⟨hpp⟩
have hcp : p.Coprime n := by
by_contra hc
exact hpp.not_unit (hn p <| mul_dvd_mul_left p <| hpp.dvd_iff_not_coprime.mpr hc)
have hp₁ := ZMod.exists_sq_eq_neg_one_iff.mpr (H hpp (dvd_mul_right p n))
exact ZMod.isSquare_neg_one_mul hcp hp₁
(ih hn.of_mul_right fun hqp hqd => H hqp <| dvd_mul_of_dvd_right hqd _)
#align zmod.is_square_neg_one_iff ZMod.isSquare_neg_one_iff
| Mathlib/NumberTheory/SumTwoSquares.lean | 125 | 138 | theorem ZMod.isSquare_neg_one_iff' {n : ℕ} (hn : Squarefree n) :
IsSquare (-1 : ZMod n) ↔ ∀ {q : ℕ}, q ∣ n → q % 4 ≠ 3 := by |
have help : ∀ a b : ZMod 4, a ≠ 3 → b ≠ 3 → a * b ≠ 3 := by decide
rw [ZMod.isSquare_neg_one_iff hn]
refine ⟨?_, fun H q _ => H⟩
intro H
refine @induction_on_primes _ ?_ ?_ (fun p q hp hq hpq => ?_)
· exact fun _ => by norm_num
· exact fun _ => by norm_num
· replace hp := H hp (dvd_of_mul_right_dvd hpq)
replace hq := hq (dvd_of_mul_left_dvd hpq)
rw [show 3 = 3 % 4 by norm_num, Ne, ← ZMod.natCast_eq_natCast_iff'] at hp hq ⊢
rw [Nat.cast_mul]
exact help p q hp hq
|
import Mathlib.CategoryTheory.Abelian.InjectiveResolution
import Mathlib.Algebra.Homology.Additive
import Mathlib.CategoryTheory.Abelian.Homology
#align_import category_theory.abelian.right_derived from "leanprover-community/mathlib"@"024a4231815538ac739f52d08dd20a55da0d6b23"
universe v u
namespace CategoryTheory
open Category Limits
variable {C : Type u} [Category.{v} C] {D : Type*} [Category D]
[Abelian C] [HasInjectiveResolutions C] [Abelian D]
noncomputable def Functor.rightDerivedToHomotopyCategory (F : C ⥤ D) [F.Additive] :
C ⥤ HomotopyCategory D (ComplexShape.up ℕ) :=
injectiveResolutions C ⋙ F.mapHomotopyCategory _
noncomputable def InjectiveResolution.isoRightDerivedToHomotopyCategoryObj {X : C}
(I : InjectiveResolution X) (F : C ⥤ D) [F.Additive] :
F.rightDerivedToHomotopyCategory.obj X ≅
(F.mapHomologicalComplex _ ⋙ HomotopyCategory.quotient _ _).obj I.cocomplex :=
(F.mapHomotopyCategory _).mapIso I.iso ≪≫
(F.mapHomotopyCategoryFactors _).app I.cocomplex
@[reassoc]
lemma InjectiveResolution.isoRightDerivedToHomotopyCategoryObj_hom_naturality
{X Y : C} (f : X ⟶ Y) (I : InjectiveResolution X) (J : InjectiveResolution Y)
(φ : I.cocomplex ⟶ J.cocomplex) (comm : I.ι.f 0 ≫ φ.f 0 = f ≫ J.ι.f 0)
(F : C ⥤ D) [F.Additive] :
F.rightDerivedToHomotopyCategory.map f ≫ (J.isoRightDerivedToHomotopyCategoryObj F).hom =
(I.isoRightDerivedToHomotopyCategoryObj F).hom ≫
(F.mapHomologicalComplex _ ⋙ HomotopyCategory.quotient _ _).map φ := by
dsimp [Functor.rightDerivedToHomotopyCategory, isoRightDerivedToHomotopyCategoryObj]
rw [← Functor.map_comp_assoc, iso_hom_naturality f I J φ comm, Functor.map_comp,
assoc, assoc]
erw [(F.mapHomotopyCategoryFactors (ComplexShape.up ℕ)).hom.naturality]
rfl
@[reassoc]
lemma InjectiveResolution.isoRightDerivedToHomotopyCategoryObj_inv_naturality
{X Y : C} (f : X ⟶ Y) (I : InjectiveResolution X) (J : InjectiveResolution Y)
(φ : I.cocomplex ⟶ J.cocomplex) (comm : I.ι.f 0 ≫ φ.f 0 = f ≫ J.ι.f 0)
(F : C ⥤ D) [F.Additive] :
(I.isoRightDerivedToHomotopyCategoryObj F).inv ≫ F.rightDerivedToHomotopyCategory.map f =
(F.mapHomologicalComplex _ ⋙ HomotopyCategory.quotient _ _).map φ ≫
(J.isoRightDerivedToHomotopyCategoryObj F).inv := by
rw [← cancel_epi (I.isoRightDerivedToHomotopyCategoryObj F).hom, Iso.hom_inv_id_assoc]
dsimp
rw [← isoRightDerivedToHomotopyCategoryObj_hom_naturality_assoc f I J φ comm F,
Iso.hom_inv_id, comp_id]
noncomputable def Functor.rightDerived (F : C ⥤ D) [F.Additive] (n : ℕ) : C ⥤ D :=
F.rightDerivedToHomotopyCategory ⋙ HomotopyCategory.homologyFunctor D _ n
#align category_theory.functor.right_derived CategoryTheory.Functor.rightDerived
noncomputable def InjectiveResolution.isoRightDerivedObj {X : C} (I : InjectiveResolution X)
(F : C ⥤ D) [F.Additive] (n : ℕ) :
(F.rightDerived n).obj X ≅
(HomologicalComplex.homologyFunctor D _ n).obj
((F.mapHomologicalComplex _).obj I.cocomplex) :=
(HomotopyCategory.homologyFunctor D _ n).mapIso
(I.isoRightDerivedToHomotopyCategoryObj F) ≪≫
(HomotopyCategory.homologyFunctorFactors D (ComplexShape.up ℕ) n).app _
@[reassoc]
lemma InjectiveResolution.isoRightDerivedObj_hom_naturality
{X Y : C} (f : X ⟶ Y) (I : InjectiveResolution X) (J : InjectiveResolution Y)
(φ : I.cocomplex ⟶ J.cocomplex) (comm : I.ι.f 0 ≫ φ.f 0 = f ≫ J.ι.f 0)
(F : C ⥤ D) [F.Additive] (n : ℕ) :
(F.rightDerived n).map f ≫ (J.isoRightDerivedObj F n).hom =
(I.isoRightDerivedObj F n).hom ≫
(F.mapHomologicalComplex _ ⋙ HomologicalComplex.homologyFunctor _ _ n).map φ := by
dsimp [isoRightDerivedObj, Functor.rightDerived]
rw [assoc, ← Functor.map_comp_assoc,
InjectiveResolution.isoRightDerivedToHomotopyCategoryObj_hom_naturality f I J φ comm F,
Functor.map_comp, assoc]
erw [(HomotopyCategory.homologyFunctorFactors D (ComplexShape.up ℕ) n).hom.naturality]
rfl
@[reassoc]
lemma InjectiveResolution.isoRightDerivedObj_inv_naturality
{X Y : C} (f : X ⟶ Y) (I : InjectiveResolution X) (J : InjectiveResolution Y)
(φ : I.cocomplex ⟶ J.cocomplex) (comm : I.ι.f 0 ≫ φ.f 0 = f ≫ J.ι.f 0)
(F : C ⥤ D) [F.Additive] (n : ℕ) :
(I.isoRightDerivedObj F n).inv ≫ (F.rightDerived n).map f =
(F.mapHomologicalComplex _ ⋙ HomologicalComplex.homologyFunctor _ _ n).map φ ≫
(J.isoRightDerivedObj F n).inv := by
rw [← cancel_mono (J.isoRightDerivedObj F n).hom, assoc, assoc,
InjectiveResolution.isoRightDerivedObj_hom_naturality f I J φ comm F n,
Iso.inv_hom_id_assoc, Iso.inv_hom_id, comp_id]
lemma Functor.isZero_rightDerived_obj_injective_succ
(F : C ⥤ D) [F.Additive] (n : ℕ) (X : C) [Injective X] :
IsZero ((F.rightDerived (n+1)).obj X) := by
refine IsZero.of_iso ?_ ((InjectiveResolution.self X).isoRightDerivedObj F (n + 1))
erw [← HomologicalComplex.exactAt_iff_isZero_homology]
exact ShortComplex.exact_of_isZero_X₂ _ (F.map_isZero (by apply isZero_zero))
theorem Functor.rightDerived_map_eq (F : C ⥤ D) [F.Additive] (n : ℕ) {X Y : C} (f : X ⟶ Y)
{P : InjectiveResolution X} {Q : InjectiveResolution Y} (g : P.cocomplex ⟶ Q.cocomplex)
(w : P.ι ≫ g = (CochainComplex.single₀ C).map f ≫ Q.ι) :
(F.rightDerived n).map f =
(P.isoRightDerivedObj F n).hom ≫
(F.mapHomologicalComplex _ ⋙ HomologicalComplex.homologyFunctor _ _ n).map g ≫
(Q.isoRightDerivedObj F n).inv := by
rw [← cancel_mono (Q.isoRightDerivedObj F n).hom,
InjectiveResolution.isoRightDerivedObj_hom_naturality f P Q g _ F n,
assoc, assoc, Iso.inv_hom_id, comp_id]
rw [← HomologicalComplex.comp_f, w, HomologicalComplex.comp_f,
CochainComplex.single₀_map_f_zero]
#align category_theory.functor.right_derived_map_eq CategoryTheory.Functor.rightDerived_map_eq
noncomputable def NatTrans.rightDerivedToHomotopyCategory
{F G : C ⥤ D} [F.Additive] [G.Additive] (α : F ⟶ G) :
F.rightDerivedToHomotopyCategory ⟶ G.rightDerivedToHomotopyCategory :=
whiskerLeft _ (NatTrans.mapHomotopyCategory α (ComplexShape.up ℕ))
lemma InjectiveResolution.rightDerivedToHomotopyCategory_app_eq
{F G : C ⥤ D} [F.Additive] [G.Additive] (α : F ⟶ G) {X : C} (P : InjectiveResolution X) :
(NatTrans.rightDerivedToHomotopyCategory α).app X =
(P.isoRightDerivedToHomotopyCategoryObj F).hom ≫
(HomotopyCategory.quotient _ _).map
((NatTrans.mapHomologicalComplex α _).app P.cocomplex) ≫
(P.isoRightDerivedToHomotopyCategoryObj G).inv := by
rw [← cancel_mono (P.isoRightDerivedToHomotopyCategoryObj G).hom, assoc, assoc,
Iso.inv_hom_id, comp_id]
dsimp [isoRightDerivedToHomotopyCategoryObj, Functor.mapHomotopyCategoryFactors,
NatTrans.rightDerivedToHomotopyCategory]
rw [assoc]
erw [id_comp, comp_id]
obtain ⟨β, hβ⟩ := (HomotopyCategory.quotient _ _).map_surjective (iso P).hom
rw [← hβ]
dsimp
simp only [← Functor.map_comp, NatTrans.mapHomologicalComplex_naturality]
rfl
@[simp]
lemma NatTrans.rightDerivedToHomotopyCategory_id (F : C ⥤ D) [F.Additive] :
NatTrans.rightDerivedToHomotopyCategory (𝟙 F) = 𝟙 _ := rfl
@[simp, reassoc]
lemma NatTrans.rightDerivedToHomotopyCategory_comp {F G H : C ⥤ D} (α : F ⟶ G) (β : G ⟶ H)
[F.Additive] [G.Additive] [H.Additive] :
NatTrans.rightDerivedToHomotopyCategory (α ≫ β) =
NatTrans.rightDerivedToHomotopyCategory α ≫
NatTrans.rightDerivedToHomotopyCategory β := rfl
noncomputable def NatTrans.rightDerived
{F G : C ⥤ D} [F.Additive] [G.Additive] (α : F ⟶ G) (n : ℕ) :
F.rightDerived n ⟶ G.rightDerived n :=
whiskerRight (NatTrans.rightDerivedToHomotopyCategory α) _
#align category_theory.nat_trans.right_derived CategoryTheory.NatTrans.rightDerived
@[simp]
| Mathlib/CategoryTheory/Abelian/RightDerived.lean | 219 | 223 | theorem NatTrans.rightDerived_id (F : C ⥤ D) [F.Additive] (n : ℕ) :
NatTrans.rightDerived (𝟙 F) n = 𝟙 (F.rightDerived n) := by |
dsimp only [rightDerived]
simp only [rightDerivedToHomotopyCategory_id, whiskerRight_id']
rfl
|
import Mathlib.Analysis.Normed.Group.Seminorm
import Mathlib.Order.LiminfLimsup
import Mathlib.Topology.Instances.Rat
import Mathlib.Topology.MetricSpace.Algebra
import Mathlib.Topology.MetricSpace.IsometricSMul
import Mathlib.Topology.Sequences
#align_import analysis.normed.group.basic from "leanprover-community/mathlib"@"41bef4ae1254365bc190aee63b947674d2977f01"
variable {𝓕 𝕜 α ι κ E F G : Type*}
open Filter Function Metric Bornology
open ENNReal Filter NNReal Uniformity Pointwise Topology
@[notation_class]
class Norm (E : Type*) where
norm : E → ℝ
#align has_norm Norm
@[notation_class]
class NNNorm (E : Type*) where
nnnorm : E → ℝ≥0
#align has_nnnorm NNNorm
export Norm (norm)
export NNNorm (nnnorm)
@[inherit_doc]
notation "‖" e "‖" => norm e
@[inherit_doc]
notation "‖" e "‖₊" => nnnorm e
class SeminormedAddGroup (E : Type*) extends Norm E, AddGroup E, PseudoMetricSpace E where
dist := fun x y => ‖x - y‖
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align seminormed_add_group SeminormedAddGroup
@[to_additive]
class SeminormedGroup (E : Type*) extends Norm E, Group E, PseudoMetricSpace E where
dist := fun x y => ‖x / y‖
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align seminormed_group SeminormedGroup
class NormedAddGroup (E : Type*) extends Norm E, AddGroup E, MetricSpace E where
dist := fun x y => ‖x - y‖
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align normed_add_group NormedAddGroup
@[to_additive]
class NormedGroup (E : Type*) extends Norm E, Group E, MetricSpace E where
dist := fun x y => ‖x / y‖
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align normed_group NormedGroup
class SeminormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E,
PseudoMetricSpace E where
dist := fun x y => ‖x - y‖
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align seminormed_add_comm_group SeminormedAddCommGroup
@[to_additive]
class SeminormedCommGroup (E : Type*) extends Norm E, CommGroup E, PseudoMetricSpace E where
dist := fun x y => ‖x / y‖
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align seminormed_comm_group SeminormedCommGroup
class NormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, MetricSpace E where
dist := fun x y => ‖x - y‖
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align normed_add_comm_group NormedAddCommGroup
@[to_additive]
class NormedCommGroup (E : Type*) extends Norm E, CommGroup E, MetricSpace E where
dist := fun x y => ‖x / y‖
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align normed_comm_group NormedCommGroup
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) NormedGroup.toSeminormedGroup [NormedGroup E] : SeminormedGroup E :=
{ ‹NormedGroup E› with }
#align normed_group.to_seminormed_group NormedGroup.toSeminormedGroup
#align normed_add_group.to_seminormed_add_group NormedAddGroup.toSeminormedAddGroup
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) NormedCommGroup.toSeminormedCommGroup [NormedCommGroup E] :
SeminormedCommGroup E :=
{ ‹NormedCommGroup E› with }
#align normed_comm_group.to_seminormed_comm_group NormedCommGroup.toSeminormedCommGroup
#align normed_add_comm_group.to_seminormed_add_comm_group NormedAddCommGroup.toSeminormedAddCommGroup
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) SeminormedCommGroup.toSeminormedGroup [SeminormedCommGroup E] :
SeminormedGroup E :=
{ ‹SeminormedCommGroup E› with }
#align seminormed_comm_group.to_seminormed_group SeminormedCommGroup.toSeminormedGroup
#align seminormed_add_comm_group.to_seminormed_add_group SeminormedAddCommGroup.toSeminormedAddGroup
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) NormedCommGroup.toNormedGroup [NormedCommGroup E] : NormedGroup E :=
{ ‹NormedCommGroup E› with }
#align normed_comm_group.to_normed_group NormedCommGroup.toNormedGroup
#align normed_add_comm_group.to_normed_add_group NormedAddCommGroup.toNormedAddGroup
-- See note [reducible non-instances]
@[to_additive (attr := reducible) "Construct a `NormedAddGroup` from a `SeminormedAddGroup`
satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the `(Pseudo)MetricSpace`
level when declaring a `NormedAddGroup` instance as a special case of a more general
`SeminormedAddGroup` instance."]
def NormedGroup.ofSeparation [SeminormedGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) :
NormedGroup E where
dist_eq := ‹SeminormedGroup E›.dist_eq
toMetricSpace :=
{ eq_of_dist_eq_zero := fun hxy =>
div_eq_one.1 <| h _ <| by exact (‹SeminormedGroup E›.dist_eq _ _).symm.trans hxy }
-- Porting note: the `rwa` no longer worked, but it was easy enough to provide the term.
-- however, notice that if you make `x` and `y` accessible, then the following does work:
-- `have := ‹SeminormedGroup E›.dist_eq x y; rwa [← this]`, so I'm not sure why the `rwa`
-- was broken.
#align normed_group.of_separation NormedGroup.ofSeparation
#align normed_add_group.of_separation NormedAddGroup.ofSeparation
-- See note [reducible non-instances]
@[to_additive (attr := reducible) "Construct a `NormedAddCommGroup` from a
`SeminormedAddCommGroup` satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the
`(Pseudo)MetricSpace` level when declaring a `NormedAddCommGroup` instance as a special case
of a more general `SeminormedAddCommGroup` instance."]
def NormedCommGroup.ofSeparation [SeminormedCommGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) :
NormedCommGroup E :=
{ ‹SeminormedCommGroup E›, NormedGroup.ofSeparation h with }
#align normed_comm_group.of_separation NormedCommGroup.ofSeparation
#align normed_add_comm_group.of_separation NormedAddCommGroup.ofSeparation
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a translation-invariant distance."]
def SeminormedGroup.ofMulDist [Norm E] [Group E] [PseudoMetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) :
SeminormedGroup E where
dist_eq x y := by
rw [h₁]; apply le_antisymm
· simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _
· simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y
#align seminormed_group.of_mul_dist SeminormedGroup.ofMulDist
#align seminormed_add_group.of_add_dist SeminormedAddGroup.ofAddDist
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a translation-invariant pseudodistance."]
def SeminormedGroup.ofMulDist' [Norm E] [Group E] [PseudoMetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) :
SeminormedGroup E where
dist_eq x y := by
rw [h₁]; apply le_antisymm
· simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y
· simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _
#align seminormed_group.of_mul_dist' SeminormedGroup.ofMulDist'
#align seminormed_add_group.of_add_dist' SeminormedAddGroup.ofAddDist'
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a translation-invariant pseudodistance."]
def SeminormedCommGroup.ofMulDist [Norm E] [CommGroup E] [PseudoMetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) :
SeminormedCommGroup E :=
{ SeminormedGroup.ofMulDist h₁ h₂ with
mul_comm := mul_comm }
#align seminormed_comm_group.of_mul_dist SeminormedCommGroup.ofMulDist
#align seminormed_add_comm_group.of_add_dist SeminormedAddCommGroup.ofAddDist
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a translation-invariant pseudodistance."]
def SeminormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [PseudoMetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) :
SeminormedCommGroup E :=
{ SeminormedGroup.ofMulDist' h₁ h₂ with
mul_comm := mul_comm }
#align seminormed_comm_group.of_mul_dist' SeminormedCommGroup.ofMulDist'
#align seminormed_add_comm_group.of_add_dist' SeminormedAddCommGroup.ofAddDist'
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a translation-invariant distance."]
def NormedGroup.ofMulDist [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1)
(h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : NormedGroup E :=
{ SeminormedGroup.ofMulDist h₁ h₂ with
eq_of_dist_eq_zero := eq_of_dist_eq_zero }
#align normed_group.of_mul_dist NormedGroup.ofMulDist
#align normed_add_group.of_add_dist NormedAddGroup.ofAddDist
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a translation-invariant pseudodistance."]
def NormedGroup.ofMulDist' [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1)
(h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : NormedGroup E :=
{ SeminormedGroup.ofMulDist' h₁ h₂ with
eq_of_dist_eq_zero := eq_of_dist_eq_zero }
#align normed_group.of_mul_dist' NormedGroup.ofMulDist'
#align normed_add_group.of_add_dist' NormedAddGroup.ofAddDist'
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a translation-invariant pseudodistance."]
def NormedCommGroup.ofMulDist [Norm E] [CommGroup E] [MetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) :
NormedCommGroup E :=
{ NormedGroup.ofMulDist h₁ h₂ with
mul_comm := mul_comm }
#align normed_comm_group.of_mul_dist NormedCommGroup.ofMulDist
#align normed_add_comm_group.of_add_dist NormedAddCommGroup.ofAddDist
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a translation-invariant pseudodistance."]
def NormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [MetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) :
NormedCommGroup E :=
{ NormedGroup.ofMulDist' h₁ h₂ with
mul_comm := mul_comm }
#align normed_comm_group.of_mul_dist' NormedCommGroup.ofMulDist'
#align normed_add_comm_group.of_add_dist' NormedAddCommGroup.ofAddDist'
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a seminorm, i.e., registering the pseudodistance
and the pseudometric space structure from the seminorm properties. Note that in most cases this
instance creates bad definitional equalities (e.g., it does not take into account a possibly
existing `UniformSpace` instance on `E`)."]
def GroupSeminorm.toSeminormedGroup [Group E] (f : GroupSeminorm E) : SeminormedGroup E where
dist x y := f (x / y)
norm := f
dist_eq x y := rfl
dist_self x := by simp only [div_self', map_one_eq_zero]
dist_triangle := le_map_div_add_map_div f
dist_comm := map_div_rev f
edist_dist x y := by exact ENNReal.coe_nnreal_eq _
-- Porting note: how did `mathlib3` solve this automatically?
#align group_seminorm.to_seminormed_group GroupSeminorm.toSeminormedGroup
#align add_group_seminorm.to_seminormed_add_group AddGroupSeminorm.toSeminormedAddGroup
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a seminorm, i.e., registering the pseudodistance
and the pseudometric space structure from the seminorm properties. Note that in most cases this
instance creates bad definitional equalities (e.g., it does not take into account a possibly
existing `UniformSpace` instance on `E`)."]
def GroupSeminorm.toSeminormedCommGroup [CommGroup E] (f : GroupSeminorm E) :
SeminormedCommGroup E :=
{ f.toSeminormedGroup with
mul_comm := mul_comm }
#align group_seminorm.to_seminormed_comm_group GroupSeminorm.toSeminormedCommGroup
#align add_group_seminorm.to_seminormed_add_comm_group AddGroupSeminorm.toSeminormedAddCommGroup
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a norm, i.e., registering the distance and the metric
space structure from the norm properties. Note that in most cases this instance creates bad
definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace`
instance on `E`)."]
def GroupNorm.toNormedGroup [Group E] (f : GroupNorm E) : NormedGroup E :=
{ f.toGroupSeminorm.toSeminormedGroup with
eq_of_dist_eq_zero := fun h => div_eq_one.1 <| eq_one_of_map_eq_zero f h }
#align group_norm.to_normed_group GroupNorm.toNormedGroup
#align add_group_norm.to_normed_add_group AddGroupNorm.toNormedAddGroup
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a norm, i.e., registering the distance and the metric
space structure from the norm properties. Note that in most cases this instance creates bad
definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace`
instance on `E`)."]
def GroupNorm.toNormedCommGroup [CommGroup E] (f : GroupNorm E) : NormedCommGroup E :=
{ f.toNormedGroup with
mul_comm := mul_comm }
#align group_norm.to_normed_comm_group GroupNorm.toNormedCommGroup
#align add_group_norm.to_normed_add_comm_group AddGroupNorm.toNormedAddCommGroup
instance PUnit.normedAddCommGroup : NormedAddCommGroup PUnit where
norm := Function.const _ 0
dist_eq _ _ := rfl
@[simp]
theorem PUnit.norm_eq_zero (r : PUnit) : ‖r‖ = 0 :=
rfl
#align punit.norm_eq_zero PUnit.norm_eq_zero
section SeminormedGroup
variable [SeminormedGroup E] [SeminormedGroup F] [SeminormedGroup G] {s : Set E}
{a a₁ a₂ b b₁ b₂ : E} {r r₁ r₂ : ℝ}
@[to_additive]
theorem dist_eq_norm_div (a b : E) : dist a b = ‖a / b‖ :=
SeminormedGroup.dist_eq _ _
#align dist_eq_norm_div dist_eq_norm_div
#align dist_eq_norm_sub dist_eq_norm_sub
@[to_additive]
theorem dist_eq_norm_div' (a b : E) : dist a b = ‖b / a‖ := by rw [dist_comm, dist_eq_norm_div]
#align dist_eq_norm_div' dist_eq_norm_div'
#align dist_eq_norm_sub' dist_eq_norm_sub'
alias dist_eq_norm := dist_eq_norm_sub
#align dist_eq_norm dist_eq_norm
alias dist_eq_norm' := dist_eq_norm_sub'
#align dist_eq_norm' dist_eq_norm'
@[to_additive]
instance NormedGroup.to_isometricSMul_right : IsometricSMul Eᵐᵒᵖ E :=
⟨fun a => Isometry.of_dist_eq fun b c => by simp [dist_eq_norm_div]⟩
#align normed_group.to_has_isometric_smul_right NormedGroup.to_isometricSMul_right
#align normed_add_group.to_has_isometric_vadd_right NormedAddGroup.to_isometricVAdd_right
@[to_additive (attr := simp)]
theorem dist_one_right (a : E) : dist a 1 = ‖a‖ := by rw [dist_eq_norm_div, div_one]
#align dist_one_right dist_one_right
#align dist_zero_right dist_zero_right
@[to_additive]
theorem inseparable_one_iff_norm {a : E} : Inseparable a 1 ↔ ‖a‖ = 0 := by
rw [Metric.inseparable_iff, dist_one_right]
@[to_additive (attr := simp)]
theorem dist_one_left : dist (1 : E) = norm :=
funext fun a => by rw [dist_comm, dist_one_right]
#align dist_one_left dist_one_left
#align dist_zero_left dist_zero_left
@[to_additive]
theorem Isometry.norm_map_of_map_one {f : E → F} (hi : Isometry f) (h₁ : f 1 = 1) (x : E) :
‖f x‖ = ‖x‖ := by rw [← dist_one_right, ← h₁, hi.dist_eq, dist_one_right]
#align isometry.norm_map_of_map_one Isometry.norm_map_of_map_one
#align isometry.norm_map_of_map_zero Isometry.norm_map_of_map_zero
@[to_additive (attr := simp) comap_norm_atTop]
theorem comap_norm_atTop' : comap norm atTop = cobounded E := by
simpa only [dist_one_right] using comap_dist_right_atTop (1 : E)
@[to_additive Filter.HasBasis.cobounded_of_norm]
lemma Filter.HasBasis.cobounded_of_norm' {ι : Sort*} {p : ι → Prop} {s : ι → Set ℝ}
(h : HasBasis atTop p s) : HasBasis (cobounded E) p fun i ↦ norm ⁻¹' s i :=
comap_norm_atTop' (E := E) ▸ h.comap _
@[to_additive Filter.hasBasis_cobounded_norm]
lemma Filter.hasBasis_cobounded_norm' : HasBasis (cobounded E) (fun _ ↦ True) ({x | · ≤ ‖x‖}) :=
atTop_basis.cobounded_of_norm'
@[to_additive (attr := simp) tendsto_norm_atTop_iff_cobounded]
theorem tendsto_norm_atTop_iff_cobounded' {f : α → E} {l : Filter α} :
Tendsto (‖f ·‖) l atTop ↔ Tendsto f l (cobounded E) := by
rw [← comap_norm_atTop', tendsto_comap_iff]; rfl
@[to_additive tendsto_norm_cobounded_atTop]
theorem tendsto_norm_cobounded_atTop' : Tendsto norm (cobounded E) atTop :=
tendsto_norm_atTop_iff_cobounded'.2 tendsto_id
@[to_additive eventually_cobounded_le_norm]
lemma eventually_cobounded_le_norm' (a : ℝ) : ∀ᶠ x in cobounded E, a ≤ ‖x‖ :=
tendsto_norm_cobounded_atTop'.eventually_ge_atTop a
@[to_additive tendsto_norm_cocompact_atTop]
theorem tendsto_norm_cocompact_atTop' [ProperSpace E] : Tendsto norm (cocompact E) atTop :=
cobounded_eq_cocompact (α := E) ▸ tendsto_norm_cobounded_atTop'
#align tendsto_norm_cocompact_at_top' tendsto_norm_cocompact_atTop'
#align tendsto_norm_cocompact_at_top tendsto_norm_cocompact_atTop
@[to_additive]
theorem norm_div_rev (a b : E) : ‖a / b‖ = ‖b / a‖ := by
simpa only [dist_eq_norm_div] using dist_comm a b
#align norm_div_rev norm_div_rev
#align norm_sub_rev norm_sub_rev
@[to_additive (attr := simp) norm_neg]
theorem norm_inv' (a : E) : ‖a⁻¹‖ = ‖a‖ := by simpa using norm_div_rev 1 a
#align norm_inv' norm_inv'
#align norm_neg norm_neg
open scoped symmDiff in
@[to_additive]
theorem dist_mulIndicator (s t : Set α) (f : α → E) (x : α) :
dist (s.mulIndicator f x) (t.mulIndicator f x) = ‖(s ∆ t).mulIndicator f x‖ := by
rw [dist_eq_norm_div, Set.apply_mulIndicator_symmDiff norm_inv']
@[to_additive (attr := simp)]
theorem dist_mul_self_right (a b : E) : dist b (a * b) = ‖a‖ := by
rw [← dist_one_left, ← dist_mul_right 1 a b, one_mul]
#align dist_mul_self_right dist_mul_self_right
#align dist_add_self_right dist_add_self_right
@[to_additive (attr := simp)]
theorem dist_mul_self_left (a b : E) : dist (a * b) b = ‖a‖ := by
rw [dist_comm, dist_mul_self_right]
#align dist_mul_self_left dist_mul_self_left
#align dist_add_self_left dist_add_self_left
@[to_additive (attr := simp)]
theorem dist_div_eq_dist_mul_left (a b c : E) : dist (a / b) c = dist a (c * b) := by
rw [← dist_mul_right _ _ b, div_mul_cancel]
#align dist_div_eq_dist_mul_left dist_div_eq_dist_mul_left
#align dist_sub_eq_dist_add_left dist_sub_eq_dist_add_left
@[to_additive (attr := simp)]
theorem dist_div_eq_dist_mul_right (a b c : E) : dist a (b / c) = dist (a * c) b := by
rw [← dist_mul_right _ _ c, div_mul_cancel]
#align dist_div_eq_dist_mul_right dist_div_eq_dist_mul_right
#align dist_sub_eq_dist_add_right dist_sub_eq_dist_add_right
@[to_additive (attr := simp)]
lemma Filter.inv_cobounded : (cobounded E)⁻¹ = cobounded E := by
simp only [← comap_norm_atTop', ← Filter.comap_inv, comap_comap, (· ∘ ·), norm_inv']
@[to_additive "In a (semi)normed group, negation `x ↦ -x` tends to infinity at infinity."]
theorem Filter.tendsto_inv_cobounded : Tendsto Inv.inv (cobounded E) (cobounded E) :=
inv_cobounded.le
#align filter.tendsto_inv_cobounded Filter.tendsto_inv_cobounded
#align filter.tendsto_neg_cobounded Filter.tendsto_neg_cobounded
@[to_additive norm_add_le "**Triangle inequality** for the norm."]
theorem norm_mul_le' (a b : E) : ‖a * b‖ ≤ ‖a‖ + ‖b‖ := by
simpa [dist_eq_norm_div] using dist_triangle a 1 b⁻¹
#align norm_mul_le' norm_mul_le'
#align norm_add_le norm_add_le
@[to_additive]
theorem norm_mul_le_of_le (h₁ : ‖a₁‖ ≤ r₁) (h₂ : ‖a₂‖ ≤ r₂) : ‖a₁ * a₂‖ ≤ r₁ + r₂ :=
(norm_mul_le' a₁ a₂).trans <| add_le_add h₁ h₂
#align norm_mul_le_of_le norm_mul_le_of_le
#align norm_add_le_of_le norm_add_le_of_le
@[to_additive norm_add₃_le]
theorem norm_mul₃_le (a b c : E) : ‖a * b * c‖ ≤ ‖a‖ + ‖b‖ + ‖c‖ :=
norm_mul_le_of_le (norm_mul_le' _ _) le_rfl
#align norm_mul₃_le norm_mul₃_le
#align norm_add₃_le norm_add₃_le
@[to_additive]
lemma norm_div_le_norm_div_add_norm_div (a b c : E) : ‖a / c‖ ≤ ‖a / b‖ + ‖b / c‖ := by
simpa only [dist_eq_norm_div] using dist_triangle a b c
@[to_additive (attr := simp) norm_nonneg]
theorem norm_nonneg' (a : E) : 0 ≤ ‖a‖ := by
rw [← dist_one_right]
exact dist_nonneg
#align norm_nonneg' norm_nonneg'
#align norm_nonneg norm_nonneg
@[to_additive (attr := simp) abs_norm]
theorem abs_norm' (z : E) : |‖z‖| = ‖z‖ := abs_of_nonneg <| norm_nonneg' _
#align abs_norm abs_norm
@[to_additive (attr := simp) norm_zero]
theorem norm_one' : ‖(1 : E)‖ = 0 := by rw [← dist_one_right, dist_self]
#align norm_one' norm_one'
#align norm_zero norm_zero
@[to_additive]
theorem ne_one_of_norm_ne_zero : ‖a‖ ≠ 0 → a ≠ 1 :=
mt <| by
rintro rfl
exact norm_one'
#align ne_one_of_norm_ne_zero ne_one_of_norm_ne_zero
#align ne_zero_of_norm_ne_zero ne_zero_of_norm_ne_zero
@[to_additive (attr := nontriviality) norm_of_subsingleton]
theorem norm_of_subsingleton' [Subsingleton E] (a : E) : ‖a‖ = 0 := by
rw [Subsingleton.elim a 1, norm_one']
#align norm_of_subsingleton' norm_of_subsingleton'
#align norm_of_subsingleton norm_of_subsingleton
@[to_additive zero_lt_one_add_norm_sq]
theorem zero_lt_one_add_norm_sq' (x : E) : 0 < 1 + ‖x‖ ^ 2 := by
positivity
#align zero_lt_one_add_norm_sq' zero_lt_one_add_norm_sq'
#align zero_lt_one_add_norm_sq zero_lt_one_add_norm_sq
@[to_additive]
theorem norm_div_le (a b : E) : ‖a / b‖ ≤ ‖a‖ + ‖b‖ := by
simpa [dist_eq_norm_div] using dist_triangle a 1 b
#align norm_div_le norm_div_le
#align norm_sub_le norm_sub_le
@[to_additive]
theorem norm_div_le_of_le {r₁ r₂ : ℝ} (H₁ : ‖a₁‖ ≤ r₁) (H₂ : ‖a₂‖ ≤ r₂) : ‖a₁ / a₂‖ ≤ r₁ + r₂ :=
(norm_div_le a₁ a₂).trans <| add_le_add H₁ H₂
#align norm_div_le_of_le norm_div_le_of_le
#align norm_sub_le_of_le norm_sub_le_of_le
@[to_additive dist_le_norm_add_norm]
theorem dist_le_norm_add_norm' (a b : E) : dist a b ≤ ‖a‖ + ‖b‖ := by
rw [dist_eq_norm_div]
apply norm_div_le
#align dist_le_norm_add_norm' dist_le_norm_add_norm'
#align dist_le_norm_add_norm dist_le_norm_add_norm
@[to_additive abs_norm_sub_norm_le]
theorem abs_norm_sub_norm_le' (a b : E) : |‖a‖ - ‖b‖| ≤ ‖a / b‖ := by
simpa [dist_eq_norm_div] using abs_dist_sub_le a b 1
#align abs_norm_sub_norm_le' abs_norm_sub_norm_le'
#align abs_norm_sub_norm_le abs_norm_sub_norm_le
@[to_additive norm_sub_norm_le]
theorem norm_sub_norm_le' (a b : E) : ‖a‖ - ‖b‖ ≤ ‖a / b‖ :=
(le_abs_self _).trans (abs_norm_sub_norm_le' a b)
#align norm_sub_norm_le' norm_sub_norm_le'
#align norm_sub_norm_le norm_sub_norm_le
@[to_additive dist_norm_norm_le]
theorem dist_norm_norm_le' (a b : E) : dist ‖a‖ ‖b‖ ≤ ‖a / b‖ :=
abs_norm_sub_norm_le' a b
#align dist_norm_norm_le' dist_norm_norm_le'
#align dist_norm_norm_le dist_norm_norm_le
@[to_additive]
theorem norm_le_norm_add_norm_div' (u v : E) : ‖u‖ ≤ ‖v‖ + ‖u / v‖ := by
rw [add_comm]
refine (norm_mul_le' _ _).trans_eq' ?_
rw [div_mul_cancel]
#align norm_le_norm_add_norm_div' norm_le_norm_add_norm_div'
#align norm_le_norm_add_norm_sub' norm_le_norm_add_norm_sub'
@[to_additive]
theorem norm_le_norm_add_norm_div (u v : E) : ‖v‖ ≤ ‖u‖ + ‖u / v‖ := by
rw [norm_div_rev]
exact norm_le_norm_add_norm_div' v u
#align norm_le_norm_add_norm_div norm_le_norm_add_norm_div
#align norm_le_norm_add_norm_sub norm_le_norm_add_norm_sub
alias norm_le_insert' := norm_le_norm_add_norm_sub'
#align norm_le_insert' norm_le_insert'
alias norm_le_insert := norm_le_norm_add_norm_sub
#align norm_le_insert norm_le_insert
@[to_additive]
theorem norm_le_mul_norm_add (u v : E) : ‖u‖ ≤ ‖u * v‖ + ‖v‖ :=
calc
‖u‖ = ‖u * v / v‖ := by rw [mul_div_cancel_right]
_ ≤ ‖u * v‖ + ‖v‖ := norm_div_le _ _
#align norm_le_mul_norm_add norm_le_mul_norm_add
#align norm_le_add_norm_add norm_le_add_norm_add
@[to_additive ball_eq]
theorem ball_eq' (y : E) (ε : ℝ) : ball y ε = { x | ‖x / y‖ < ε } :=
Set.ext fun a => by simp [dist_eq_norm_div]
#align ball_eq' ball_eq'
#align ball_eq ball_eq
@[to_additive]
theorem ball_one_eq (r : ℝ) : ball (1 : E) r = { x | ‖x‖ < r } :=
Set.ext fun a => by simp
#align ball_one_eq ball_one_eq
#align ball_zero_eq ball_zero_eq
@[to_additive mem_ball_iff_norm]
theorem mem_ball_iff_norm'' : b ∈ ball a r ↔ ‖b / a‖ < r := by rw [mem_ball, dist_eq_norm_div]
#align mem_ball_iff_norm'' mem_ball_iff_norm''
#align mem_ball_iff_norm mem_ball_iff_norm
@[to_additive mem_ball_iff_norm']
theorem mem_ball_iff_norm''' : b ∈ ball a r ↔ ‖a / b‖ < r := by rw [mem_ball', dist_eq_norm_div]
#align mem_ball_iff_norm''' mem_ball_iff_norm'''
#align mem_ball_iff_norm' mem_ball_iff_norm'
@[to_additive] -- Porting note (#10618): `simp` can prove it
theorem mem_ball_one_iff : a ∈ ball (1 : E) r ↔ ‖a‖ < r := by rw [mem_ball, dist_one_right]
#align mem_ball_one_iff mem_ball_one_iff
#align mem_ball_zero_iff mem_ball_zero_iff
@[to_additive mem_closedBall_iff_norm]
theorem mem_closedBall_iff_norm'' : b ∈ closedBall a r ↔ ‖b / a‖ ≤ r := by
rw [mem_closedBall, dist_eq_norm_div]
#align mem_closed_ball_iff_norm'' mem_closedBall_iff_norm''
#align mem_closed_ball_iff_norm mem_closedBall_iff_norm
@[to_additive] -- Porting note (#10618): `simp` can prove it
theorem mem_closedBall_one_iff : a ∈ closedBall (1 : E) r ↔ ‖a‖ ≤ r := by
rw [mem_closedBall, dist_one_right]
#align mem_closed_ball_one_iff mem_closedBall_one_iff
#align mem_closed_ball_zero_iff mem_closedBall_zero_iff
@[to_additive mem_closedBall_iff_norm']
theorem mem_closedBall_iff_norm''' : b ∈ closedBall a r ↔ ‖a / b‖ ≤ r := by
rw [mem_closedBall', dist_eq_norm_div]
#align mem_closed_ball_iff_norm''' mem_closedBall_iff_norm'''
#align mem_closed_ball_iff_norm' mem_closedBall_iff_norm'
@[to_additive norm_le_of_mem_closedBall]
theorem norm_le_of_mem_closedBall' (h : b ∈ closedBall a r) : ‖b‖ ≤ ‖a‖ + r :=
(norm_le_norm_add_norm_div' _ _).trans <| add_le_add_left (by rwa [← dist_eq_norm_div]) _
#align norm_le_of_mem_closed_ball' norm_le_of_mem_closedBall'
#align norm_le_of_mem_closed_ball norm_le_of_mem_closedBall
@[to_additive norm_le_norm_add_const_of_dist_le]
theorem norm_le_norm_add_const_of_dist_le' : dist a b ≤ r → ‖a‖ ≤ ‖b‖ + r :=
norm_le_of_mem_closedBall'
#align norm_le_norm_add_const_of_dist_le' norm_le_norm_add_const_of_dist_le'
#align norm_le_norm_add_const_of_dist_le norm_le_norm_add_const_of_dist_le
@[to_additive norm_lt_of_mem_ball]
theorem norm_lt_of_mem_ball' (h : b ∈ ball a r) : ‖b‖ < ‖a‖ + r :=
(norm_le_norm_add_norm_div' _ _).trans_lt <| add_lt_add_left (by rwa [← dist_eq_norm_div]) _
#align norm_lt_of_mem_ball' norm_lt_of_mem_ball'
#align norm_lt_of_mem_ball norm_lt_of_mem_ball
@[to_additive]
theorem norm_div_sub_norm_div_le_norm_div (u v w : E) : ‖u / w‖ - ‖v / w‖ ≤ ‖u / v‖ := by
simpa only [div_div_div_cancel_right'] using norm_sub_norm_le' (u / w) (v / w)
#align norm_div_sub_norm_div_le_norm_div norm_div_sub_norm_div_le_norm_div
#align norm_sub_sub_norm_sub_le_norm_sub norm_sub_sub_norm_sub_le_norm_sub
@[to_additive isBounded_iff_forall_norm_le]
theorem isBounded_iff_forall_norm_le' : Bornology.IsBounded s ↔ ∃ C, ∀ x ∈ s, ‖x‖ ≤ C := by
simpa only [Set.subset_def, mem_closedBall_one_iff] using isBounded_iff_subset_closedBall (1 : E)
#align bounded_iff_forall_norm_le' isBounded_iff_forall_norm_le'
#align bounded_iff_forall_norm_le isBounded_iff_forall_norm_le
alias ⟨Bornology.IsBounded.exists_norm_le', _⟩ := isBounded_iff_forall_norm_le'
#align metric.bounded.exists_norm_le' Bornology.IsBounded.exists_norm_le'
alias ⟨Bornology.IsBounded.exists_norm_le, _⟩ := isBounded_iff_forall_norm_le
#align metric.bounded.exists_norm_le Bornology.IsBounded.exists_norm_le
attribute [to_additive existing exists_norm_le] Bornology.IsBounded.exists_norm_le'
@[to_additive exists_pos_norm_le]
theorem Bornology.IsBounded.exists_pos_norm_le' (hs : IsBounded s) : ∃ R > 0, ∀ x ∈ s, ‖x‖ ≤ R :=
let ⟨R₀, hR₀⟩ := hs.exists_norm_le'
⟨max R₀ 1, by positivity, fun x hx => (hR₀ x hx).trans <| le_max_left _ _⟩
#align metric.bounded.exists_pos_norm_le' Bornology.IsBounded.exists_pos_norm_le'
#align metric.bounded.exists_pos_norm_le Bornology.IsBounded.exists_pos_norm_le
@[to_additive Bornology.IsBounded.exists_pos_norm_lt]
theorem Bornology.IsBounded.exists_pos_norm_lt' (hs : IsBounded s) : ∃ R > 0, ∀ x ∈ s, ‖x‖ < R :=
let ⟨R, hR₀, hR⟩ := hs.exists_pos_norm_le'
⟨R + 1, by positivity, fun x hx ↦ (hR x hx).trans_lt (lt_add_one _)⟩
@[to_additive (attr := simp 1001) mem_sphere_iff_norm]
-- Porting note: increase priority so the left-hand side doesn't reduce
| Mathlib/Analysis/Normed/Group/Basic.lean | 777 | 777 | theorem mem_sphere_iff_norm' : b ∈ sphere a r ↔ ‖b / a‖ = r := by | simp [dist_eq_norm_div]
|
import Mathlib.LinearAlgebra.AffineSpace.Independent
import Mathlib.LinearAlgebra.Basis
#align_import linear_algebra.affine_space.basis from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
open Affine
open Set
universe u₁ u₂ u₃ u₄
structure AffineBasis (ι : Type u₁) (k : Type u₂) {V : Type u₃} (P : Type u₄) [AddCommGroup V]
[AffineSpace V P] [Ring k] [Module k V] where
protected toFun : ι → P
protected ind' : AffineIndependent k toFun
protected tot' : affineSpan k (range toFun) = ⊤
#align affine_basis AffineBasis
variable {ι ι' k V P : Type*} [AddCommGroup V] [AffineSpace V P]
namespace AffineBasis
section Ring
variable [Ring k] [Module k V] (b : AffineBasis ι k P) {s : Finset ι} {i j : ι} (e : ι ≃ ι')
instance : Inhabited (AffineBasis PUnit k PUnit) :=
⟨⟨id, affineIndependent_of_subsingleton k id, by simp⟩⟩
instance instFunLike : FunLike (AffineBasis ι k P) ι P where
coe := AffineBasis.toFun
coe_injective' f g h := by cases f; cases g; congr
#align affine_basis.fun_like AffineBasis.instFunLike
@[ext]
theorem ext {b₁ b₂ : AffineBasis ι k P} (h : (b₁ : ι → P) = b₂) : b₁ = b₂ :=
DFunLike.coe_injective h
#align affine_basis.ext AffineBasis.ext
theorem ind : AffineIndependent k b :=
b.ind'
#align affine_basis.ind AffineBasis.ind
theorem tot : affineSpan k (range b) = ⊤ :=
b.tot'
#align affine_basis.tot AffineBasis.tot
protected theorem nonempty : Nonempty ι :=
not_isEmpty_iff.mp fun hι => by
simpa only [@range_eq_empty _ _ hι, AffineSubspace.span_empty, bot_ne_top] using b.tot
#align affine_basis.nonempty AffineBasis.nonempty
def reindex (e : ι ≃ ι') : AffineBasis ι' k P :=
⟨b ∘ e.symm, b.ind.comp_embedding e.symm.toEmbedding, by
rw [e.symm.surjective.range_comp]
exact b.3⟩
#align affine_basis.reindex AffineBasis.reindex
@[simp, norm_cast]
theorem coe_reindex : ⇑(b.reindex e) = b ∘ e.symm :=
rfl
#align affine_basis.coe_reindex AffineBasis.coe_reindex
@[simp]
theorem reindex_apply (i' : ι') : b.reindex e i' = b (e.symm i') :=
rfl
#align affine_basis.reindex_apply AffineBasis.reindex_apply
@[simp]
theorem reindex_refl : b.reindex (Equiv.refl _) = b :=
ext rfl
#align affine_basis.reindex_refl AffineBasis.reindex_refl
noncomputable def basisOf (i : ι) : Basis { j : ι // j ≠ i } k V :=
Basis.mk ((affineIndependent_iff_linearIndependent_vsub k b i).mp b.ind)
(by
suffices
Submodule.span k (range fun j : { x // x ≠ i } => b ↑j -ᵥ b i) = vectorSpan k (range b) by
rw [this, ← direction_affineSpan, b.tot, AffineSubspace.direction_top]
conv_rhs => rw [← image_univ]
rw [vectorSpan_image_eq_span_vsub_set_right_ne k b (mem_univ i)]
congr
ext v
simp)
#align affine_basis.basis_of AffineBasis.basisOf
@[simp]
theorem basisOf_apply (i : ι) (j : { j : ι // j ≠ i }) : b.basisOf i j = b ↑j -ᵥ b i := by
simp [basisOf]
#align affine_basis.basis_of_apply AffineBasis.basisOf_apply
@[simp]
theorem basisOf_reindex (i : ι') :
(b.reindex e).basisOf i =
(b.basisOf <| e.symm i).reindex (e.subtypeEquiv fun _ => e.eq_symm_apply.not) := by
ext j
simp
#align affine_basis.basis_of_reindex AffineBasis.basisOf_reindex
noncomputable def coord (i : ι) : P →ᵃ[k] k where
toFun q := 1 - (b.basisOf i).sumCoords (q -ᵥ b i)
linear := -(b.basisOf i).sumCoords
map_vadd' q v := by
dsimp only
rw [vadd_vsub_assoc, LinearMap.map_add, vadd_eq_add, LinearMap.neg_apply,
sub_add_eq_sub_sub_swap, add_comm, sub_eq_add_neg]
#align affine_basis.coord AffineBasis.coord
@[simp]
theorem linear_eq_sumCoords (i : ι) : (b.coord i).linear = -(b.basisOf i).sumCoords :=
rfl
#align affine_basis.linear_eq_sum_coords AffineBasis.linear_eq_sumCoords
@[simp]
theorem coord_reindex (i : ι') : (b.reindex e).coord i = b.coord (e.symm i) := by
ext
classical simp [AffineBasis.coord]
#align affine_basis.coord_reindex AffineBasis.coord_reindex
@[simp]
theorem coord_apply_eq (i : ι) : b.coord i (b i) = 1 := by
simp only [coord, Basis.coe_sumCoords, LinearEquiv.map_zero, LinearEquiv.coe_coe, sub_zero,
AffineMap.coe_mk, Finsupp.sum_zero_index, vsub_self]
#align affine_basis.coord_apply_eq AffineBasis.coord_apply_eq
@[simp]
theorem coord_apply_ne (h : i ≠ j) : b.coord i (b j) = 0 := by
-- Porting note:
-- in mathlib3 we didn't need to given the `fun j => j ≠ i` argument to `Subtype.coe_mk`,
-- but I don't think we can complain: this proof was over-golfed.
rw [coord, AffineMap.coe_mk, ← @Subtype.coe_mk _ (fun j => j ≠ i) j h.symm, ← b.basisOf_apply,
Basis.sumCoords_self_apply, sub_self]
#align affine_basis.coord_apply_ne AffineBasis.coord_apply_ne
| Mathlib/LinearAlgebra/AffineSpace/Basis.lean | 182 | 183 | theorem coord_apply [DecidableEq ι] (i j : ι) : b.coord i (b j) = if i = j then 1 else 0 := by |
rcases eq_or_ne i j with h | h <;> simp [h]
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Complex
#align_import analysis.special_functions.trigonometric.arctan from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
namespace Real
open Set Filter
open scoped Topology Real
theorem tan_add {x y : ℝ}
(h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) ∨
(∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := by
simpa only [← Complex.ofReal_inj, Complex.ofReal_sub, Complex.ofReal_add, Complex.ofReal_div,
Complex.ofReal_mul, Complex.ofReal_tan] using
@Complex.tan_add (x : ℂ) (y : ℂ) (by convert h <;> norm_cast)
#align real.tan_add Real.tan_add
theorem tan_add' {x y : ℝ}
(h : (∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) :=
tan_add (Or.inl h)
#align real.tan_add' Real.tan_add'
theorem tan_two_mul {x : ℝ} : tan (2 * x) = 2 * tan x / (1 - tan x ^ 2) := by
have := @Complex.tan_two_mul x
norm_cast at *
#align real.tan_two_mul Real.tan_two_mul
theorem tan_int_mul_pi_div_two (n : ℤ) : tan (n * π / 2) = 0 :=
tan_eq_zero_iff.mpr (by use n)
#align real.tan_int_mul_pi_div_two Real.tan_int_mul_pi_div_two
theorem continuousOn_tan : ContinuousOn tan {x | cos x ≠ 0} := by
suffices ContinuousOn (fun x => sin x / cos x) {x | cos x ≠ 0} by
have h_eq : (fun x => sin x / cos x) = tan := by ext1 x; rw [tan_eq_sin_div_cos]
rwa [h_eq] at this
exact continuousOn_sin.div continuousOn_cos fun x => id
#align real.continuous_on_tan Real.continuousOn_tan
@[continuity]
theorem continuous_tan : Continuous fun x : {x | cos x ≠ 0} => tan x :=
continuousOn_iff_continuous_restrict.1 continuousOn_tan
#align real.continuous_tan Real.continuous_tan
theorem continuousOn_tan_Ioo : ContinuousOn tan (Ioo (-(π / 2)) (π / 2)) := by
refine ContinuousOn.mono continuousOn_tan fun x => ?_
simp only [and_imp, mem_Ioo, mem_setOf_eq, Ne]
rw [cos_eq_zero_iff]
rintro hx_gt hx_lt ⟨r, hxr_eq⟩
rcases le_or_lt 0 r with h | h
· rw [lt_iff_not_ge] at hx_lt
refine hx_lt ?_
rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, mul_le_mul_right (half_pos pi_pos)]
simp [h]
· rw [lt_iff_not_ge] at hx_gt
refine hx_gt ?_
rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, neg_mul_eq_neg_mul,
mul_le_mul_right (half_pos pi_pos)]
have hr_le : r ≤ -1 := by rwa [Int.lt_iff_add_one_le, ← le_neg_iff_add_nonpos_right] at h
rw [← le_sub_iff_add_le, mul_comm, ← le_div_iff]
· set_option tactic.skipAssignedInstances false in norm_num
rw [← Int.cast_one, ← Int.cast_neg]; norm_cast
· exact zero_lt_two
#align real.continuous_on_tan_Ioo Real.continuousOn_tan_Ioo
theorem surjOn_tan : SurjOn tan (Ioo (-(π / 2)) (π / 2)) univ :=
have := neg_lt_self pi_div_two_pos
continuousOn_tan_Ioo.surjOn_of_tendsto (nonempty_Ioo.2 this)
(by rw [tendsto_comp_coe_Ioo_atBot this]; exact tendsto_tan_neg_pi_div_two)
(by rw [tendsto_comp_coe_Ioo_atTop this]; exact tendsto_tan_pi_div_two)
#align real.surj_on_tan Real.surjOn_tan
theorem tan_surjective : Function.Surjective tan := fun _ => surjOn_tan.subset_range trivial
#align real.tan_surjective Real.tan_surjective
theorem image_tan_Ioo : tan '' Ioo (-(π / 2)) (π / 2) = univ :=
univ_subset_iff.1 surjOn_tan
#align real.image_tan_Ioo Real.image_tan_Ioo
def tanOrderIso : Ioo (-(π / 2)) (π / 2) ≃o ℝ :=
(strictMonoOn_tan.orderIso _ _).trans <|
(OrderIso.setCongr _ _ image_tan_Ioo).trans OrderIso.Set.univ
#align real.tan_order_iso Real.tanOrderIso
-- @[pp_nodot] -- Porting note: removed
noncomputable def arctan (x : ℝ) : ℝ :=
tanOrderIso.symm x
#align real.arctan Real.arctan
@[simp]
theorem tan_arctan (x : ℝ) : tan (arctan x) = x :=
tanOrderIso.apply_symm_apply x
#align real.tan_arctan Real.tan_arctan
theorem arctan_mem_Ioo (x : ℝ) : arctan x ∈ Ioo (-(π / 2)) (π / 2) :=
Subtype.coe_prop _
#align real.arctan_mem_Ioo Real.arctan_mem_Ioo
@[simp]
theorem range_arctan : range arctan = Ioo (-(π / 2)) (π / 2) :=
((EquivLike.surjective _).range_comp _).trans Subtype.range_coe
#align real.range_arctan Real.range_arctan
theorem arctan_tan {x : ℝ} (hx₁ : -(π / 2) < x) (hx₂ : x < π / 2) : arctan (tan x) = x :=
Subtype.ext_iff.1 <| tanOrderIso.symm_apply_apply ⟨x, hx₁, hx₂⟩
#align real.arctan_tan Real.arctan_tan
theorem cos_arctan_pos (x : ℝ) : 0 < cos (arctan x) :=
cos_pos_of_mem_Ioo <| arctan_mem_Ioo x
#align real.cos_arctan_pos Real.cos_arctan_pos
theorem cos_sq_arctan (x : ℝ) : cos (arctan x) ^ 2 = 1 / (1 + x ^ 2) := by
rw_mod_cast [one_div, ← inv_one_add_tan_sq (cos_arctan_pos x).ne', tan_arctan]
#align real.cos_sq_arctan Real.cos_sq_arctan
theorem sin_arctan (x : ℝ) : sin (arctan x) = x / √(1 + x ^ 2) := by
rw_mod_cast [← tan_div_sqrt_one_add_tan_sq (cos_arctan_pos x), tan_arctan]
#align real.sin_arctan Real.sin_arctan
theorem cos_arctan (x : ℝ) : cos (arctan x) = 1 / √(1 + x ^ 2) := by
rw_mod_cast [one_div, ← inv_sqrt_one_add_tan_sq (cos_arctan_pos x), tan_arctan]
#align real.cos_arctan Real.cos_arctan
theorem arctan_lt_pi_div_two (x : ℝ) : arctan x < π / 2 :=
(arctan_mem_Ioo x).2
#align real.arctan_lt_pi_div_two Real.arctan_lt_pi_div_two
theorem neg_pi_div_two_lt_arctan (x : ℝ) : -(π / 2) < arctan x :=
(arctan_mem_Ioo x).1
#align real.neg_pi_div_two_lt_arctan Real.neg_pi_div_two_lt_arctan
theorem arctan_eq_arcsin (x : ℝ) : arctan x = arcsin (x / √(1 + x ^ 2)) :=
Eq.symm <| arcsin_eq_of_sin_eq (sin_arctan x) (mem_Icc_of_Ioo <| arctan_mem_Ioo x)
#align real.arctan_eq_arcsin Real.arctan_eq_arcsin
theorem arcsin_eq_arctan {x : ℝ} (h : x ∈ Ioo (-(1 : ℝ)) 1) :
arcsin x = arctan (x / √(1 - x ^ 2)) := by
rw_mod_cast [arctan_eq_arcsin, div_pow, sq_sqrt, one_add_div, div_div, ← sqrt_mul,
mul_div_cancel₀, sub_add_cancel, sqrt_one, div_one] <;> simp at h <;> nlinarith [h.1, h.2]
#align real.arcsin_eq_arctan Real.arcsin_eq_arctan
@[simp]
theorem arctan_zero : arctan 0 = 0 := by simp [arctan_eq_arcsin]
#align real.arctan_zero Real.arctan_zero
@[mono]
theorem arctan_strictMono : StrictMono arctan := tanOrderIso.symm.strictMono
theorem arctan_injective : arctan.Injective := arctan_strictMono.injective
@[simp]
theorem arctan_eq_zero_iff {x : ℝ} : arctan x = 0 ↔ x = 0 :=
.trans (by rw [arctan_zero]) arctan_injective.eq_iff
theorem tendsto_arctan_atTop : Tendsto arctan atTop (𝓝[<] (π / 2)) :=
tendsto_Ioo_atTop.mp tanOrderIso.symm.tendsto_atTop
theorem tendsto_arctan_atBot : Tendsto arctan atBot (𝓝[>] (-(π / 2))) :=
tendsto_Ioo_atBot.mp tanOrderIso.symm.tendsto_atBot
theorem arctan_eq_of_tan_eq {x y : ℝ} (h : tan x = y) (hx : x ∈ Ioo (-(π / 2)) (π / 2)) :
arctan y = x :=
injOn_tan (arctan_mem_Ioo _) hx (by rw [tan_arctan, h])
#align real.arctan_eq_of_tan_eq Real.arctan_eq_of_tan_eq
@[simp]
theorem arctan_one : arctan 1 = π / 4 :=
arctan_eq_of_tan_eq tan_pi_div_four <| by constructor <;> linarith [pi_pos]
#align real.arctan_one Real.arctan_one
@[simp]
theorem arctan_neg (x : ℝ) : arctan (-x) = -arctan x := by simp [arctan_eq_arcsin, neg_div]
#align real.arctan_neg Real.arctan_neg
theorem arctan_eq_arccos {x : ℝ} (h : 0 ≤ x) : arctan x = arccos (√(1 + x ^ 2))⁻¹ := by
rw [arctan_eq_arcsin, arccos_eq_arcsin]; swap; · exact inv_nonneg.2 (sqrt_nonneg _)
congr 1
rw_mod_cast [← sqrt_inv, sq_sqrt, ← one_div, one_sub_div, add_sub_cancel_left, sqrt_div,
sqrt_sq h]
all_goals positivity
#align real.arctan_eq_arccos Real.arctan_eq_arccos
-- The junk values for `arccos` and `sqrt` make this true even for `1 < x`.
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Arctan.lean | 210 | 215 | theorem arccos_eq_arctan {x : ℝ} (h : 0 < x) : arccos x = arctan (√(1 - x ^ 2) / x) := by |
rw [arccos, eq_comm]
refine arctan_eq_of_tan_eq ?_ ⟨?_, ?_⟩
· rw_mod_cast [tan_pi_div_two_sub, tan_arcsin, inv_div]
· linarith only [arcsin_le_pi_div_two x, pi_pos]
· linarith only [arcsin_pos.2 h]
|
import Mathlib.FieldTheory.Minpoly.Field
#align_import ring_theory.power_basis from "leanprover-community/mathlib"@"d1d69e99ed34c95266668af4e288fc1c598b9a7f"
open Polynomial
open Polynomial
variable {R S T : Type*} [CommRing R] [Ring S] [Algebra R S]
variable {A B : Type*} [CommRing A] [CommRing B] [IsDomain B] [Algebra A B]
variable {K : Type*} [Field K]
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure PowerBasis (R S : Type*) [CommRing R] [Ring S] [Algebra R S] where
gen : S
dim : ℕ
basis : Basis (Fin dim) R S
basis_eq_pow : ∀ (i), basis i = gen ^ (i : ℕ)
#align power_basis PowerBasis
-- this is usually not needed because of `basis_eq_pow` but can be needed in some cases;
-- in such circumstances, add it manually using `@[simps dim gen basis]`.
initialize_simps_projections PowerBasis (-basis)
namespace PowerBasis
@[simp]
theorem coe_basis (pb : PowerBasis R S) : ⇑pb.basis = fun i : Fin pb.dim => pb.gen ^ (i : ℕ) :=
funext pb.basis_eq_pow
#align power_basis.coe_basis PowerBasis.coe_basis
theorem finite (pb : PowerBasis R S) : Module.Finite R S := .of_basis pb.basis
#align power_basis.finite_dimensional PowerBasis.finite
@[deprecated] alias finiteDimensional := PowerBasis.finite
theorem finrank [StrongRankCondition R] (pb : PowerBasis R S) :
FiniteDimensional.finrank R S = pb.dim := by
rw [FiniteDimensional.finrank_eq_card_basis pb.basis, Fintype.card_fin]
#align power_basis.finrank PowerBasis.finrank
theorem mem_span_pow' {x y : S} {d : ℕ} :
y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔
∃ f : R[X], f.degree < d ∧ y = aeval x f := by
have : (Set.range fun i : Fin d => x ^ (i : ℕ)) = (fun i : ℕ => x ^ i) '' ↑(Finset.range d) := by
ext n
simp_rw [Set.mem_range, Set.mem_image, Finset.mem_coe, Finset.mem_range]
exact ⟨fun ⟨⟨i, hi⟩, hy⟩ => ⟨i, hi, hy⟩, fun ⟨i, hi, hy⟩ => ⟨⟨i, hi⟩, hy⟩⟩
simp only [this, Finsupp.mem_span_image_iff_total, degree_lt_iff_coeff_zero, support,
exists_iff_exists_finsupp, coeff, aeval_def, eval₂RingHom', eval₂_eq_sum, Polynomial.sum,
Finsupp.mem_supported', Finsupp.total, Finsupp.sum, Algebra.smul_def, eval₂_zero, exists_prop,
LinearMap.id_coe, eval₂_one, id, not_lt, Finsupp.coe_lsum, LinearMap.coe_smulRight,
Finset.mem_range, AlgHom.coe_mks, Finset.mem_coe]
simp_rw [@eq_comm _ y]
exact Iff.rfl
#align power_basis.mem_span_pow' PowerBasis.mem_span_pow'
| Mathlib/RingTheory/PowerBasis.lean | 105 | 116 | theorem mem_span_pow {x y : S} {d : ℕ} (hd : d ≠ 0) :
y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔
∃ f : R[X], f.natDegree < d ∧ y = aeval x f := by |
rw [mem_span_pow']
constructor <;>
· rintro ⟨f, h, hy⟩
refine ⟨f, ?_, hy⟩
by_cases hf : f = 0
· simp only [hf, natDegree_zero, degree_zero] at h ⊢
first | exact lt_of_le_of_ne (Nat.zero_le d) hd.symm | exact WithBot.bot_lt_coe d
simp_all only [degree_eq_natDegree hf]
· first | exact WithBot.coe_lt_coe.1 h | exact WithBot.coe_lt_coe.2 h
|
import Mathlib.Algebra.Order.Monoid.Unbundled.Pow
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Algebra.Ring.Parity
#align_import algebra.group_power.order from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a"
-- We should need only a minimal development of sets in order to get here.
assert_not_exists Set.Subsingleton
open Function Int
variable {α M R : Type*}
section OrderedSemiring
variable [OrderedSemiring R] {a b x y : R} {n m : ℕ}
theorem zero_pow_le_one : ∀ n : ℕ, (0 : R) ^ n ≤ 1
| 0 => (pow_zero _).le
| n + 1 => by rw [zero_pow n.succ_ne_zero]; exact zero_le_one
#align zero_pow_le_one zero_pow_le_one
theorem pow_add_pow_le (hx : 0 ≤ x) (hy : 0 ≤ y) (hn : n ≠ 0) : x ^ n + y ^ n ≤ (x + y) ^ n := by
rcases Nat.exists_eq_succ_of_ne_zero hn with ⟨k, rfl⟩
induction' k with k ih;
· have eqn : Nat.succ Nat.zero = 1 := rfl
rw [eqn]
simp only [pow_one, le_refl]
· let n := k.succ
have h1 := add_nonneg (mul_nonneg hx (pow_nonneg hy n)) (mul_nonneg hy (pow_nonneg hx n))
have h2 := add_nonneg hx hy
calc
x ^ n.succ + y ^ n.succ ≤ x * x ^ n + y * y ^ n + (x * y ^ n + y * x ^ n) := by
rw [pow_succ' _ n, pow_succ' _ n]
exact le_add_of_nonneg_right h1
_ = (x + y) * (x ^ n + y ^ n) := by
rw [add_mul, mul_add, mul_add, add_comm (y * x ^ n), ← add_assoc, ← add_assoc,
add_assoc (x * x ^ n) (x * y ^ n), add_comm (x * y ^ n) (y * y ^ n), ← add_assoc]
_ ≤ (x + y) ^ n.succ := by
rw [pow_succ' _ n]
exact mul_le_mul_of_nonneg_left (ih (Nat.succ_ne_zero k)) h2
#align pow_add_pow_le pow_add_pow_le
theorem pow_le_one : ∀ n : ℕ, 0 ≤ a → a ≤ 1 → a ^ n ≤ 1
| 0, _, _ => (pow_zero a).le
| n + 1, h₀, h₁ => (pow_succ a n).le.trans (mul_le_one (pow_le_one n h₀ h₁) h₀ h₁)
#align pow_le_one pow_le_one
theorem pow_lt_one (h₀ : 0 ≤ a) (h₁ : a < 1) : ∀ {n : ℕ}, n ≠ 0 → a ^ n < 1
| 0, h => (h rfl).elim
| n + 1, _ => by
rw [pow_succ']
exact mul_lt_one_of_nonneg_of_lt_one_left h₀ h₁ (pow_le_one _ h₀ h₁.le)
#align pow_lt_one pow_lt_one
theorem one_le_pow_of_one_le (H : 1 ≤ a) : ∀ n : ℕ, 1 ≤ a ^ n
| 0 => by rw [pow_zero]
| n + 1 => by
rw [pow_succ']
simpa only [mul_one] using
mul_le_mul H (one_le_pow_of_one_le H n) zero_le_one (le_trans zero_le_one H)
#align one_le_pow_of_one_le one_le_pow_of_one_le
theorem pow_right_mono (h : 1 ≤ a) : Monotone (a ^ ·) :=
monotone_nat_of_le_succ fun n => by
rw [pow_succ']
exact le_mul_of_one_le_left (pow_nonneg (zero_le_one.trans h) _) h
#align pow_mono pow_right_mono
@[gcongr]
theorem pow_le_pow_right (ha : 1 ≤ a) (h : n ≤ m) : a ^ n ≤ a ^ m := pow_right_mono ha h
#align pow_le_pow pow_le_pow_right
| Mathlib/Algebra/Order/Ring/Basic.lean | 100 | 101 | theorem le_self_pow (ha : 1 ≤ a) (h : m ≠ 0) : a ≤ a ^ m := by |
simpa only [pow_one] using pow_le_pow_right ha <| Nat.pos_iff_ne_zero.2 h
|
import Batteries.Tactic.Alias
import Batteries.Data.Nat.Basic
namespace Nat
@[simp] theorem recAux_zero {motive : Nat → Sort _} (zero : motive 0)
(succ : ∀ n, motive n → motive (n+1)) :
Nat.recAux zero succ 0 = zero := rfl
theorem recAux_succ {motive : Nat → Sort _} (zero : motive 0)
(succ : ∀ n, motive n → motive (n+1)) (n) :
Nat.recAux zero succ (n+1) = succ n (Nat.recAux zero succ n) := rfl
@[simp] theorem recAuxOn_zero {motive : Nat → Sort _} (zero : motive 0)
(succ : ∀ n, motive n → motive (n+1)) :
Nat.recAuxOn 0 zero succ = zero := rfl
theorem recAuxOn_succ {motive : Nat → Sort _} (zero : motive 0)
(succ : ∀ n, motive n → motive (n+1)) (n) :
Nat.recAuxOn (n+1) zero succ = succ n (Nat.recAuxOn n zero succ) := rfl
@[simp] theorem casesAuxOn_zero {motive : Nat → Sort _} (zero : motive 0)
(succ : ∀ n, motive (n+1)) :
Nat.casesAuxOn 0 zero succ = zero := rfl
theorem casesAuxOn_succ {motive : Nat → Sort _} (zero : motive 0)
(succ : ∀ n, motive (n+1)) (n) :
Nat.casesAuxOn (n+1) zero succ = succ n := rfl
theorem strongRec_eq {motive : Nat → Sort _} (ind : ∀ n, (∀ m, m < n → motive m) → motive n)
(t : Nat) : Nat.strongRec ind t = ind t fun m _ => Nat.strongRec ind m := by
conv => lhs; unfold Nat.strongRec
theorem strongRecOn_eq {motive : Nat → Sort _} (ind : ∀ n, (∀ m, m < n → motive m) → motive n)
(t : Nat) : Nat.strongRecOn t ind = ind t fun m _ => Nat.strongRecOn m ind :=
Nat.strongRec_eq ..
@[simp] theorem recDiagAux_zero_left {motive : Nat → Nat → Sort _}
(zero_left : ∀ n, motive 0 n) (zero_right : ∀ m, motive m 0)
(succ_succ : ∀ m n, motive m n → motive (m+1) (n+1)) (n) :
Nat.recDiagAux zero_left zero_right succ_succ 0 n = zero_left n := by cases n <;> rfl
@[simp] theorem recDiagAux_zero_right {motive : Nat → Nat → Sort _}
(zero_left : ∀ n, motive 0 n) (zero_right : ∀ m, motive m 0)
(succ_succ : ∀ m n, motive m n → motive (m+1) (n+1)) (m)
(h : zero_left 0 = zero_right 0 := by first | assumption | trivial) :
Nat.recDiagAux zero_left zero_right succ_succ m 0 = zero_right m := by cases m; exact h; rfl
theorem recDiagAux_succ_succ {motive : Nat → Nat → Sort _}
(zero_left : ∀ n, motive 0 n) (zero_right : ∀ m, motive m 0)
(succ_succ : ∀ m n, motive m n → motive (m+1) (n+1)) (m n) :
Nat.recDiagAux zero_left zero_right succ_succ (m+1) (n+1)
= succ_succ m n (Nat.recDiagAux zero_left zero_right succ_succ m n) := rfl
@[simp] theorem recDiag_zero_zero {motive : Nat → Nat → Sort _} (zero_zero : motive 0 0)
(zero_succ : ∀ n, motive 0 n → motive 0 (n+1)) (succ_zero : ∀ m, motive m 0 → motive (m+1) 0)
(succ_succ : ∀ m n, motive m n → motive (m+1) (n+1)) :
Nat.recDiag (motive:=motive) zero_zero zero_succ succ_zero succ_succ 0 0 = zero_zero := rfl
theorem recDiag_zero_succ {motive : Nat → Nat → Sort _} (zero_zero : motive 0 0)
(zero_succ : ∀ n, motive 0 n → motive 0 (n+1)) (succ_zero : ∀ m, motive m 0 → motive (m+1) 0)
(succ_succ : ∀ m n, motive m n → motive (m+1) (n+1)) (n) :
Nat.recDiag zero_zero zero_succ succ_zero succ_succ 0 (n+1)
= zero_succ n (Nat.recDiag zero_zero zero_succ succ_zero succ_succ 0 n) := by
simp [Nat.recDiag]; rfl
| .lake/packages/batteries/Batteries/Data/Nat/Lemmas.lean | 81 | 86 | theorem recDiag_succ_zero {motive : Nat → Nat → Sort _} (zero_zero : motive 0 0)
(zero_succ : ∀ n, motive 0 n → motive 0 (n+1)) (succ_zero : ∀ m, motive m 0 → motive (m+1) 0)
(succ_succ : ∀ m n, motive m n → motive (m+1) (n+1)) (m) :
Nat.recDiag zero_zero zero_succ succ_zero succ_succ (m+1) 0
= succ_zero m (Nat.recDiag zero_zero zero_succ succ_zero succ_succ m 0) := by |
simp [Nat.recDiag]; cases m <;> rfl
|
import Batteries.Control.ForInStep.Lemmas
import Batteries.Data.List.Basic
import Batteries.Tactic.Init
import Batteries.Tactic.Alias
namespace List
open Nat
@[simp] theorem mem_toArray {a : α} {l : List α} : a ∈ l.toArray ↔ a ∈ l := by
simp [Array.mem_def]
@[simp]
theorem drop_one : ∀ l : List α, drop 1 l = tail l
| [] | _ :: _ => rfl
theorem zipWith_distrib_tail : (zipWith f l l').tail = zipWith f l.tail l'.tail := by
rw [← drop_one]; simp [zipWith_distrib_drop]
theorem subset_def {l₁ l₂ : List α} : l₁ ⊆ l₂ ↔ ∀ {a : α}, a ∈ l₁ → a ∈ l₂ := .rfl
@[simp] theorem nil_subset (l : List α) : [] ⊆ l := nofun
@[simp] theorem Subset.refl (l : List α) : l ⊆ l := fun _ i => i
theorem Subset.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ ⊆ l₂) (h₂ : l₂ ⊆ l₃) : l₁ ⊆ l₃ :=
fun _ i => h₂ (h₁ i)
instance : Trans (Membership.mem : α → List α → Prop) Subset Membership.mem :=
⟨fun h₁ h₂ => h₂ h₁⟩
instance : Trans (Subset : List α → List α → Prop) Subset Subset :=
⟨Subset.trans⟩
@[simp] theorem subset_cons (a : α) (l : List α) : l ⊆ a :: l := fun _ => Mem.tail _
theorem subset_of_cons_subset {a : α} {l₁ l₂ : List α} : a :: l₁ ⊆ l₂ → l₁ ⊆ l₂ :=
fun s _ i => s (mem_cons_of_mem _ i)
theorem subset_cons_of_subset (a : α) {l₁ l₂ : List α} : l₁ ⊆ l₂ → l₁ ⊆ a :: l₂ :=
fun s _ i => .tail _ (s i)
theorem cons_subset_cons {l₁ l₂ : List α} (a : α) (s : l₁ ⊆ l₂) : a :: l₁ ⊆ a :: l₂ :=
fun _ => by simp only [mem_cons]; exact Or.imp_right (@s _)
@[simp] theorem subset_append_left (l₁ l₂ : List α) : l₁ ⊆ l₁ ++ l₂ := fun _ => mem_append_left _
@[simp] theorem subset_append_right (l₁ l₂ : List α) : l₂ ⊆ l₁ ++ l₂ := fun _ => mem_append_right _
theorem subset_append_of_subset_left (l₂ : List α) : l ⊆ l₁ → l ⊆ l₁ ++ l₂ :=
fun s => Subset.trans s <| subset_append_left _ _
theorem subset_append_of_subset_right (l₁ : List α) : l ⊆ l₂ → l ⊆ l₁ ++ l₂ :=
fun s => Subset.trans s <| subset_append_right _ _
@[simp] theorem cons_subset : a :: l ⊆ m ↔ a ∈ m ∧ l ⊆ m := by
simp only [subset_def, mem_cons, or_imp, forall_and, forall_eq]
@[simp] theorem append_subset {l₁ l₂ l : List α} :
l₁ ++ l₂ ⊆ l ↔ l₁ ⊆ l ∧ l₂ ⊆ l := by simp [subset_def, or_imp, forall_and]
theorem subset_nil {l : List α} : l ⊆ [] ↔ l = [] :=
⟨fun h => match l with | [] => rfl | _::_ => (nomatch h (.head ..)), fun | rfl => Subset.refl _⟩
theorem map_subset {l₁ l₂ : List α} (f : α → β) (H : l₁ ⊆ l₂) : map f l₁ ⊆ map f l₂ :=
fun x => by simp only [mem_map]; exact .imp fun a => .imp_left (@H _)
@[simp] theorem nil_sublist : ∀ l : List α, [] <+ l
| [] => .slnil
| a :: l => (nil_sublist l).cons a
@[simp] theorem Sublist.refl : ∀ l : List α, l <+ l
| [] => .slnil
| a :: l => (Sublist.refl l).cons₂ a
theorem Sublist.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ <+ l₂) (h₂ : l₂ <+ l₃) : l₁ <+ l₃ := by
induction h₂ generalizing l₁ with
| slnil => exact h₁
| cons _ _ IH => exact (IH h₁).cons _
| @cons₂ l₂ _ a _ IH =>
generalize e : a :: l₂ = l₂'
match e ▸ h₁ with
| .slnil => apply nil_sublist
| .cons a' h₁' => cases e; apply (IH h₁').cons
| .cons₂ a' h₁' => cases e; apply (IH h₁').cons₂
instance : Trans (@Sublist α) Sublist Sublist := ⟨Sublist.trans⟩
@[simp] theorem sublist_cons (a : α) (l : List α) : l <+ a :: l := (Sublist.refl l).cons _
theorem sublist_of_cons_sublist : a :: l₁ <+ l₂ → l₁ <+ l₂ :=
(sublist_cons a l₁).trans
@[simp] theorem sublist_append_left : ∀ l₁ l₂ : List α, l₁ <+ l₁ ++ l₂
| [], _ => nil_sublist _
| _ :: l₁, l₂ => (sublist_append_left l₁ l₂).cons₂ _
@[simp] theorem sublist_append_right : ∀ l₁ l₂ : List α, l₂ <+ l₁ ++ l₂
| [], _ => Sublist.refl _
| _ :: l₁, l₂ => (sublist_append_right l₁ l₂).cons _
theorem sublist_append_of_sublist_left (s : l <+ l₁) : l <+ l₁ ++ l₂ :=
s.trans <| sublist_append_left ..
theorem sublist_append_of_sublist_right (s : l <+ l₂) : l <+ l₁ ++ l₂ :=
s.trans <| sublist_append_right ..
@[simp]
theorem cons_sublist_cons : a :: l₁ <+ a :: l₂ ↔ l₁ <+ l₂ :=
⟨fun | .cons _ s => sublist_of_cons_sublist s | .cons₂ _ s => s, .cons₂ _⟩
@[simp] theorem append_sublist_append_left : ∀ l, l ++ l₁ <+ l ++ l₂ ↔ l₁ <+ l₂
| [] => Iff.rfl
| _ :: l => cons_sublist_cons.trans (append_sublist_append_left l)
theorem Sublist.append_left : l₁ <+ l₂ → ∀ l, l ++ l₁ <+ l ++ l₂ :=
fun h l => (append_sublist_append_left l).mpr h
theorem Sublist.append_right : l₁ <+ l₂ → ∀ l, l₁ ++ l <+ l₂ ++ l
| .slnil, _ => Sublist.refl _
| .cons _ h, _ => (h.append_right _).cons _
| .cons₂ _ h, _ => (h.append_right _).cons₂ _
theorem sublist_or_mem_of_sublist (h : l <+ l₁ ++ a :: l₂) : l <+ l₁ ++ l₂ ∨ a ∈ l := by
induction l₁ generalizing l with
| nil => match h with
| .cons _ h => exact .inl h
| .cons₂ _ h => exact .inr (.head ..)
| cons b l₁ IH =>
match h with
| .cons _ h => exact (IH h).imp_left (Sublist.cons _)
| .cons₂ _ h => exact (IH h).imp (Sublist.cons₂ _) (.tail _)
theorem Sublist.reverse : l₁ <+ l₂ → l₁.reverse <+ l₂.reverse
| .slnil => Sublist.refl _
| .cons _ h => by rw [reverse_cons]; exact sublist_append_of_sublist_left h.reverse
| .cons₂ _ h => by rw [reverse_cons, reverse_cons]; exact h.reverse.append_right _
@[simp] theorem reverse_sublist : l₁.reverse <+ l₂.reverse ↔ l₁ <+ l₂ :=
⟨fun h => l₁.reverse_reverse ▸ l₂.reverse_reverse ▸ h.reverse, Sublist.reverse⟩
@[simp] theorem append_sublist_append_right (l) : l₁ ++ l <+ l₂ ++ l ↔ l₁ <+ l₂ :=
⟨fun h => by
have := h.reverse
simp only [reverse_append, append_sublist_append_left, reverse_sublist] at this
exact this,
fun h => h.append_right l⟩
theorem Sublist.append (hl : l₁ <+ l₂) (hr : r₁ <+ r₂) : l₁ ++ r₁ <+ l₂ ++ r₂ :=
(hl.append_right _).trans ((append_sublist_append_left _).2 hr)
theorem Sublist.subset : l₁ <+ l₂ → l₁ ⊆ l₂
| .slnil, _, h => h
| .cons _ s, _, h => .tail _ (s.subset h)
| .cons₂ .., _, .head .. => .head ..
| .cons₂ _ s, _, .tail _ h => .tail _ (s.subset h)
instance : Trans (@Sublist α) Subset Subset :=
⟨fun h₁ h₂ => trans h₁.subset h₂⟩
instance : Trans Subset (@Sublist α) Subset :=
⟨fun h₁ h₂ => trans h₁ h₂.subset⟩
instance : Trans (Membership.mem : α → List α → Prop) Sublist Membership.mem :=
⟨fun h₁ h₂ => h₂.subset h₁⟩
theorem Sublist.length_le : l₁ <+ l₂ → length l₁ ≤ length l₂
| .slnil => Nat.le_refl 0
| .cons _l s => le_succ_of_le (length_le s)
| .cons₂ _ s => succ_le_succ (length_le s)
@[simp] theorem sublist_nil {l : List α} : l <+ [] ↔ l = [] :=
⟨fun s => subset_nil.1 s.subset, fun H => H ▸ Sublist.refl _⟩
theorem Sublist.eq_of_length : l₁ <+ l₂ → length l₁ = length l₂ → l₁ = l₂
| .slnil, _ => rfl
| .cons a s, h => nomatch Nat.not_lt.2 s.length_le (h ▸ lt_succ_self _)
| .cons₂ a s, h => by rw [s.eq_of_length (succ.inj h)]
theorem Sublist.eq_of_length_le (s : l₁ <+ l₂) (h : length l₂ ≤ length l₁) : l₁ = l₂ :=
s.eq_of_length <| Nat.le_antisymm s.length_le h
@[simp] theorem singleton_sublist {a : α} {l} : [a] <+ l ↔ a ∈ l := by
refine ⟨fun h => h.subset (mem_singleton_self _), fun h => ?_⟩
obtain ⟨_, _, rfl⟩ := append_of_mem h
exact ((nil_sublist _).cons₂ _).trans (sublist_append_right ..)
@[simp] theorem replicate_sublist_replicate {m n} (a : α) :
replicate m a <+ replicate n a ↔ m ≤ n := by
refine ⟨fun h => ?_, fun h => ?_⟩
· have := h.length_le; simp only [length_replicate] at this ⊢; exact this
· induction h with
| refl => apply Sublist.refl
| step => simp [*, replicate, Sublist.cons]
theorem isSublist_iff_sublist [BEq α] [LawfulBEq α] {l₁ l₂ : List α} :
l₁.isSublist l₂ ↔ l₁ <+ l₂ := by
cases l₁ <;> cases l₂ <;> simp [isSublist]
case cons.cons hd₁ tl₁ hd₂ tl₂ =>
if h_eq : hd₁ = hd₂ then
simp [h_eq, cons_sublist_cons, isSublist_iff_sublist]
else
simp only [beq_iff_eq, h_eq]
constructor
· intro h_sub
apply Sublist.cons
exact isSublist_iff_sublist.mp h_sub
· intro h_sub
cases h_sub
case cons h_sub =>
exact isSublist_iff_sublist.mpr h_sub
case cons₂ =>
contradiction
instance [DecidableEq α] (l₁ l₂ : List α) : Decidable (l₁ <+ l₂) :=
decidable_of_iff (l₁.isSublist l₂) isSublist_iff_sublist
theorem tail_eq_tailD (l) : @tail α l = tailD l [] := by cases l <;> rfl
theorem tail_eq_tail? (l) : @tail α l = (tail? l).getD [] := by simp [tail_eq_tailD]
@[simp] theorem next?_nil : @next? α [] = none := rfl
@[simp] theorem next?_cons (a l) : @next? α (a :: l) = some (a, l) := rfl
theorem get_eq_iff : List.get l n = x ↔ l.get? n.1 = some x := by simp [get?_eq_some]
theorem get?_inj
(h₀ : i < xs.length) (h₁ : Nodup xs) (h₂ : xs.get? i = xs.get? j) : i = j := by
induction xs generalizing i j with
| nil => cases h₀
| cons x xs ih =>
match i, j with
| 0, 0 => rfl
| i+1, j+1 => simp; cases h₁ with
| cons ha h₁ => exact ih (Nat.lt_of_succ_lt_succ h₀) h₁ h₂
| i+1, 0 => ?_ | 0, j+1 => ?_
all_goals
simp at h₂
cases h₁; rename_i h' h
have := h x ?_ rfl; cases this
rw [mem_iff_get?]
exact ⟨_, h₂⟩; exact ⟨_ , h₂.symm⟩
theorem tail_drop (l : List α) (n : Nat) : (l.drop n).tail = l.drop (n + 1) := by
induction l generalizing n with
| nil => simp
| cons hd tl hl =>
cases n
· simp
· simp [hl]
@[simp] theorem modifyNth_nil (f : α → α) (n) : [].modifyNth f n = [] := by cases n <;> rfl
@[simp] theorem modifyNth_zero_cons (f : α → α) (a : α) (l : List α) :
(a :: l).modifyNth f 0 = f a :: l := rfl
@[simp] theorem modifyNth_succ_cons (f : α → α) (a : α) (l : List α) (n) :
(a :: l).modifyNth f (n + 1) = a :: l.modifyNth f n := by rfl
theorem modifyNthTail_id : ∀ n (l : List α), l.modifyNthTail id n = l
| 0, _ => rfl
| _+1, [] => rfl
| n+1, a :: l => congrArg (cons a) (modifyNthTail_id n l)
theorem eraseIdx_eq_modifyNthTail : ∀ n (l : List α), eraseIdx l n = modifyNthTail tail n l
| 0, l => by cases l <;> rfl
| n+1, [] => rfl
| n+1, a :: l => congrArg (cons _) (eraseIdx_eq_modifyNthTail _ _)
@[deprecated] alias removeNth_eq_nth_tail := eraseIdx_eq_modifyNthTail
theorem get?_modifyNth (f : α → α) :
∀ n (l : List α) m, (modifyNth f n l).get? m = (fun a => if n = m then f a else a) <$> l.get? m
| n, l, 0 => by cases l <;> cases n <;> rfl
| n, [], _+1 => by cases n <;> rfl
| 0, _ :: l, m+1 => by cases h : l.get? m <;> simp [h, modifyNth, m.succ_ne_zero.symm]
| n+1, a :: l, m+1 =>
(get?_modifyNth f n l m).trans <| by
cases h' : l.get? m <;> by_cases h : n = m <;>
simp [h, if_pos, if_neg, Option.map, mt Nat.succ.inj, not_false_iff, h']
theorem modifyNthTail_length (f : List α → List α) (H : ∀ l, length (f l) = length l) :
∀ n l, length (modifyNthTail f n l) = length l
| 0, _ => H _
| _+1, [] => rfl
| _+1, _ :: _ => congrArg (·+1) (modifyNthTail_length _ H _ _)
theorem modifyNthTail_add (f : List α → List α) (n) (l₁ l₂ : List α) :
modifyNthTail f (l₁.length + n) (l₁ ++ l₂) = l₁ ++ modifyNthTail f n l₂ := by
induction l₁ <;> simp [*, Nat.succ_add]
theorem exists_of_modifyNthTail (f : List α → List α) {n} {l : List α} (h : n ≤ l.length) :
∃ l₁ l₂, l = l₁ ++ l₂ ∧ l₁.length = n ∧ modifyNthTail f n l = l₁ ++ f l₂ :=
have ⟨_, _, eq, hl⟩ : ∃ l₁ l₂, l = l₁ ++ l₂ ∧ l₁.length = n :=
⟨_, _, (take_append_drop n l).symm, length_take_of_le h⟩
⟨_, _, eq, hl, hl ▸ eq ▸ modifyNthTail_add (n := 0) ..⟩
@[simp] theorem modify_get?_length (f : α → α) : ∀ n l, length (modifyNth f n l) = length l :=
modifyNthTail_length _ fun l => by cases l <;> rfl
@[simp] theorem get?_modifyNth_eq (f : α → α) (n) (l : List α) :
(modifyNth f n l).get? n = f <$> l.get? n := by
simp only [get?_modifyNth, if_pos]
@[simp] theorem get?_modifyNth_ne (f : α → α) {m n} (l : List α) (h : m ≠ n) :
(modifyNth f m l).get? n = l.get? n := by
simp only [get?_modifyNth, if_neg h, id_map']
theorem exists_of_modifyNth (f : α → α) {n} {l : List α} (h : n < l.length) :
∃ l₁ a l₂, l = l₁ ++ a :: l₂ ∧ l₁.length = n ∧ modifyNth f n l = l₁ ++ f a :: l₂ :=
match exists_of_modifyNthTail _ (Nat.le_of_lt h) with
| ⟨_, _::_, eq, hl, H⟩ => ⟨_, _, _, eq, hl, H⟩
| ⟨_, [], eq, hl, _⟩ => nomatch Nat.ne_of_gt h (eq ▸ append_nil _ ▸ hl)
theorem modifyNthTail_eq_take_drop (f : List α → List α) (H : f [] = []) :
∀ n l, modifyNthTail f n l = take n l ++ f (drop n l)
| 0, _ => rfl
| _ + 1, [] => H.symm
| n + 1, b :: l => congrArg (cons b) (modifyNthTail_eq_take_drop f H n l)
theorem modifyNth_eq_take_drop (f : α → α) :
∀ n l, modifyNth f n l = take n l ++ modifyHead f (drop n l) :=
modifyNthTail_eq_take_drop _ rfl
theorem modifyNth_eq_take_cons_drop (f : α → α) {n l} (h) :
modifyNth f n l = take n l ++ f (get l ⟨n, h⟩) :: drop (n + 1) l := by
rw [modifyNth_eq_take_drop, drop_eq_get_cons h]; rfl
theorem set_eq_modifyNth (a : α) : ∀ n (l : List α), set l n a = modifyNth (fun _ => a) n l
| 0, l => by cases l <;> rfl
| n+1, [] => rfl
| n+1, b :: l => congrArg (cons _) (set_eq_modifyNth _ _ _)
theorem set_eq_take_cons_drop (a : α) {n l} (h : n < length l) :
set l n a = take n l ++ a :: drop (n + 1) l := by
rw [set_eq_modifyNth, modifyNth_eq_take_cons_drop _ h]
theorem modifyNth_eq_set_get? (f : α → α) :
∀ n (l : List α), l.modifyNth f n = ((fun a => l.set n (f a)) <$> l.get? n).getD l
| 0, l => by cases l <;> rfl
| n+1, [] => rfl
| n+1, b :: l =>
(congrArg (cons _) (modifyNth_eq_set_get? ..)).trans <| by cases h : l.get? n <;> simp [h]
theorem modifyNth_eq_set_get (f : α → α) {n} {l : List α} (h) :
l.modifyNth f n = l.set n (f (l.get ⟨n, h⟩)) := by
rw [modifyNth_eq_set_get?, get?_eq_get h]; rfl
theorem exists_of_set {l : List α} (h : n < l.length) :
∃ l₁ a l₂, l = l₁ ++ a :: l₂ ∧ l₁.length = n ∧ l.set n a' = l₁ ++ a' :: l₂ := by
rw [set_eq_modifyNth]; exact exists_of_modifyNth _ h
theorem exists_of_set' {l : List α} (h : n < l.length) :
∃ l₁ l₂, l = l₁ ++ l.get ⟨n, h⟩ :: l₂ ∧ l₁.length = n ∧ l.set n a' = l₁ ++ a' :: l₂ :=
have ⟨_, _, _, h₁, h₂, h₃⟩ := exists_of_set h; ⟨_, _, get_of_append h₁ h₂ ▸ h₁, h₂, h₃⟩
@[simp]
theorem get?_set_eq (a : α) (n) (l : List α) : (set l n a).get? n = (fun _ => a) <$> l.get? n := by
simp only [set_eq_modifyNth, get?_modifyNth_eq]
theorem get?_set_eq_of_lt (a : α) {n} {l : List α} (h : n < length l) :
(set l n a).get? n = some a := by rw [get?_set_eq, get?_eq_get h]; rfl
@[simp]
theorem get?_set_ne (a : α) {m n} (l : List α) (h : m ≠ n) : (set l m a).get? n = l.get? n := by
simp only [set_eq_modifyNth, get?_modifyNth_ne _ _ h]
theorem get?_set (a : α) {m n} (l : List α) :
(set l m a).get? n = if m = n then (fun _ => a) <$> l.get? n else l.get? n := by
by_cases m = n <;> simp [*, get?_set_eq, get?_set_ne]
theorem get?_set_of_lt (a : α) {m n} (l : List α) (h : n < length l) :
(set l m a).get? n = if m = n then some a else l.get? n := by
simp [get?_set, get?_eq_get h]
theorem get?_set_of_lt' (a : α) {m n} (l : List α) (h : m < length l) :
(set l m a).get? n = if m = n then some a else l.get? n := by
simp [get?_set]; split <;> subst_vars <;> simp [*, get?_eq_get h]
theorem drop_set_of_lt (a : α) {n m : Nat} (l : List α) (h : n < m) :
(l.set n a).drop m = l.drop m :=
List.ext fun i => by rw [get?_drop, get?_drop, get?_set_ne _ _ (by omega)]
theorem take_set_of_lt (a : α) {n m : Nat} (l : List α) (h : m < n) :
(l.set n a).take m = l.take m :=
List.ext fun i => by
rw [get?_take_eq_if, get?_take_eq_if]
split
· next h' => rw [get?_set_ne _ _ (by omega)]
· rfl
theorem length_eraseIdx : ∀ {l i}, i < length l → length (@eraseIdx α l i) = length l - 1
| [], _, _ => rfl
| _::_, 0, _ => by simp [eraseIdx]
| x::xs, i+1, h => by
have : i < length xs := Nat.lt_of_succ_lt_succ h
simp [eraseIdx, ← Nat.add_one]
rw [length_eraseIdx this, Nat.sub_add_cancel (Nat.lt_of_le_of_lt (Nat.zero_le _) this)]
@[deprecated] alias length_removeNth := length_eraseIdx
@[simp] theorem length_tail (l : List α) : length (tail l) = length l - 1 := by cases l <;> rfl
@[simp] theorem eraseP_nil : [].eraseP p = [] := rfl
theorem eraseP_cons (a : α) (l : List α) :
(a :: l).eraseP p = bif p a then l else a :: l.eraseP p := rfl
@[simp] theorem eraseP_cons_of_pos {l : List α} (p) (h : p a) : (a :: l).eraseP p = l := by
simp [eraseP_cons, h]
@[simp] theorem eraseP_cons_of_neg {l : List α} (p) (h : ¬p a) :
(a :: l).eraseP p = a :: l.eraseP p := by simp [eraseP_cons, h]
theorem eraseP_of_forall_not {l : List α} (h : ∀ a, a ∈ l → ¬p a) : l.eraseP p = l := by
induction l with
| nil => rfl
| cons _ _ ih => simp [h _ (.head ..), ih (forall_mem_cons.1 h).2]
theorem exists_of_eraseP : ∀ {l : List α} {a} (al : a ∈ l) (pa : p a),
∃ a l₁ l₂, (∀ b ∈ l₁, ¬p b) ∧ p a ∧ l = l₁ ++ a :: l₂ ∧ l.eraseP p = l₁ ++ l₂
| b :: l, a, al, pa =>
if pb : p b then
⟨b, [], l, forall_mem_nil _, pb, by simp [pb]⟩
else
match al with
| .head .. => nomatch pb pa
| .tail _ al =>
let ⟨c, l₁, l₂, h₁, h₂, h₃, h₄⟩ := exists_of_eraseP al pa
⟨c, b::l₁, l₂, (forall_mem_cons ..).2 ⟨pb, h₁⟩,
h₂, by rw [h₃, cons_append], by simp [pb, h₄]⟩
theorem exists_or_eq_self_of_eraseP (p) (l : List α) :
l.eraseP p = l ∨
∃ a l₁ l₂, (∀ b ∈ l₁, ¬p b) ∧ p a ∧ l = l₁ ++ a :: l₂ ∧ l.eraseP p = l₁ ++ l₂ :=
if h : ∃ a ∈ l, p a then
let ⟨_, ha, pa⟩ := h
.inr (exists_of_eraseP ha pa)
else
.inl (eraseP_of_forall_not (h ⟨·, ·, ·⟩))
@[simp] theorem length_eraseP_of_mem (al : a ∈ l) (pa : p a) :
length (l.eraseP p) = Nat.pred (length l) := by
let ⟨_, l₁, l₂, _, _, e₁, e₂⟩ := exists_of_eraseP al pa
rw [e₂]; simp [length_append, e₁]; rfl
theorem eraseP_append_left {a : α} (pa : p a) :
∀ {l₁ : List α} l₂, a ∈ l₁ → (l₁++l₂).eraseP p = l₁.eraseP p ++ l₂
| x :: xs, l₂, h => by
by_cases h' : p x <;> simp [h']
rw [eraseP_append_left pa l₂ ((mem_cons.1 h).resolve_left (mt _ h'))]
intro | rfl => exact pa
theorem eraseP_append_right :
∀ {l₁ : List α} l₂, (∀ b ∈ l₁, ¬p b) → eraseP p (l₁++l₂) = l₁ ++ l₂.eraseP p
| [], l₂, _ => rfl
| x :: xs, l₂, h => by
simp [(forall_mem_cons.1 h).1, eraseP_append_right _ (forall_mem_cons.1 h).2]
theorem eraseP_sublist (l : List α) : l.eraseP p <+ l := by
match exists_or_eq_self_of_eraseP p l with
| .inl h => rw [h]; apply Sublist.refl
| .inr ⟨c, l₁, l₂, _, _, h₃, h₄⟩ => rw [h₄, h₃]; simp
theorem eraseP_subset (l : List α) : l.eraseP p ⊆ l := (eraseP_sublist l).subset
protected theorem Sublist.eraseP : l₁ <+ l₂ → l₁.eraseP p <+ l₂.eraseP p
| .slnil => Sublist.refl _
| .cons a s => by
by_cases h : p a <;> simp [h]
exacts [s.eraseP.trans (eraseP_sublist _), s.eraseP.cons _]
| .cons₂ a s => by
by_cases h : p a <;> simp [h]
exacts [s, s.eraseP]
theorem mem_of_mem_eraseP {l : List α} : a ∈ l.eraseP p → a ∈ l := (eraseP_subset _ ·)
@[simp] theorem mem_eraseP_of_neg {l : List α} (pa : ¬p a) : a ∈ l.eraseP p ↔ a ∈ l := by
refine ⟨mem_of_mem_eraseP, fun al => ?_⟩
match exists_or_eq_self_of_eraseP p l with
| .inl h => rw [h]; assumption
| .inr ⟨c, l₁, l₂, h₁, h₂, h₃, h₄⟩ =>
rw [h₄]; rw [h₃] at al
have : a ≠ c := fun h => (h ▸ pa).elim h₂
simp [this] at al; simp [al]
theorem eraseP_map (f : β → α) : ∀ (l : List β), (map f l).eraseP p = map f (l.eraseP (p ∘ f))
| [] => rfl
| b::l => by by_cases h : p (f b) <;> simp [h, eraseP_map f l, eraseP_cons_of_pos]
@[simp] theorem extractP_eq_find?_eraseP
(l : List α) : extractP p l = (find? p l, eraseP p l) := by
let rec go (acc) : ∀ xs, l = acc.data ++ xs →
extractP.go p l xs acc = (xs.find? p, acc.data ++ xs.eraseP p)
| [] => fun h => by simp [extractP.go, find?, eraseP, h]
| x::xs => by
simp [extractP.go, find?, eraseP]; cases p x <;> simp
· intro h; rw [go _ xs]; {simp}; simp [h]
exact go #[] _ rfl
@[simp] theorem filter_sublist {p : α → Bool} : ∀ (l : List α), filter p l <+ l
| [] => .slnil
| a :: l => by rw [filter]; split <;> simp [Sublist.cons, Sublist.cons₂, filter_sublist l]
theorem length_filter_le (p : α → Bool) (l : List α) :
(l.filter p).length ≤ l.length := (filter_sublist _).length_le
theorem length_filterMap_le (f : α → Option β) (l : List α) :
(filterMap f l).length ≤ l.length := by
rw [← length_map _ some, map_filterMap_some_eq_filter_map_is_some, ← length_map _ f]
apply length_filter_le
protected theorem Sublist.filterMap (f : α → Option β) (s : l₁ <+ l₂) :
filterMap f l₁ <+ filterMap f l₂ := by
induction s <;> simp <;> split <;> simp [*, cons, cons₂]
theorem Sublist.filter (p : α → Bool) {l₁ l₂} (s : l₁ <+ l₂) : filter p l₁ <+ filter p l₂ := by
rw [← filterMap_eq_filter]; apply s.filterMap
@[simp]
theorem filter_eq_self {l} : filter p l = l ↔ ∀ a ∈ l, p a := by
induction l with simp
| cons a l ih =>
cases h : p a <;> simp [*]
intro h; exact Nat.lt_irrefl _ (h ▸ length_filter_le p l)
@[simp]
theorem filter_length_eq_length {l} : (filter p l).length = l.length ↔ ∀ a ∈ l, p a :=
Iff.trans ⟨l.filter_sublist.eq_of_length, congrArg length⟩ filter_eq_self
@[simp] theorem findIdx_nil {α : Type _} (p : α → Bool) : [].findIdx p = 0 := rfl
theorem findIdx_cons (p : α → Bool) (b : α) (l : List α) :
(b :: l).findIdx p = bif p b then 0 else (l.findIdx p) + 1 := by
cases H : p b with
| true => simp [H, findIdx, findIdx.go]
| false => simp [H, findIdx, findIdx.go, findIdx_go_succ]
where
findIdx_go_succ (p : α → Bool) (l : List α) (n : Nat) :
List.findIdx.go p l (n + 1) = (findIdx.go p l n) + 1 := by
cases l with
| nil => unfold findIdx.go; exact Nat.succ_eq_add_one n
| cons head tail =>
unfold findIdx.go
cases p head <;> simp only [cond_false, cond_true]
exact findIdx_go_succ p tail (n + 1)
theorem findIdx_of_get?_eq_some {xs : List α} (w : xs.get? (xs.findIdx p) = some y) : p y := by
induction xs with
| nil => simp_all
| cons x xs ih => by_cases h : p x <;> simp_all [findIdx_cons]
theorem findIdx_get {xs : List α} {w : xs.findIdx p < xs.length} :
p (xs.get ⟨xs.findIdx p, w⟩) :=
xs.findIdx_of_get?_eq_some (get?_eq_get w)
theorem findIdx_lt_length_of_exists {xs : List α} (h : ∃ x ∈ xs, p x) :
xs.findIdx p < xs.length := by
induction xs with
| nil => simp_all
| cons x xs ih =>
by_cases p x
· simp_all only [forall_exists_index, and_imp, mem_cons, exists_eq_or_imp, true_or,
findIdx_cons, cond_true, length_cons]
apply Nat.succ_pos
· simp_all [findIdx_cons]
refine Nat.succ_lt_succ ?_
obtain ⟨x', m', h'⟩ := h
exact ih x' m' h'
theorem findIdx_get?_eq_get_of_exists {xs : List α} (h : ∃ x ∈ xs, p x) :
xs.get? (xs.findIdx p) = some (xs.get ⟨xs.findIdx p, xs.findIdx_lt_length_of_exists h⟩) :=
get?_eq_get (findIdx_lt_length_of_exists h)
@[simp] theorem findIdx?_nil : ([] : List α).findIdx? p i = none := rfl
@[simp] theorem findIdx?_cons :
(x :: xs).findIdx? p i = if p x then some i else findIdx? p xs (i + 1) := rfl
@[simp] theorem findIdx?_succ :
(xs : List α).findIdx? p (i+1) = (xs.findIdx? p i).map fun i => i + 1 := by
induction xs generalizing i with simp
| cons _ _ _ => split <;> simp_all
theorem findIdx?_eq_some_iff (xs : List α) (p : α → Bool) :
xs.findIdx? p = some i ↔ (xs.take (i + 1)).map p = replicate i false ++ [true] := by
induction xs generalizing i with
| nil => simp
| cons x xs ih =>
simp only [findIdx?_cons, Nat.zero_add, findIdx?_succ, take_succ_cons, map_cons]
split <;> cases i <;> simp_all
theorem findIdx?_of_eq_some {xs : List α} {p : α → Bool} (w : xs.findIdx? p = some i) :
match xs.get? i with | some a => p a | none => false := by
induction xs generalizing i with
| nil => simp_all
| cons x xs ih =>
simp_all only [findIdx?_cons, Nat.zero_add, findIdx?_succ]
split at w <;> cases i <;> simp_all
theorem findIdx?_of_eq_none {xs : List α} {p : α → Bool} (w : xs.findIdx? p = none) :
∀ i, match xs.get? i with | some a => ¬ p a | none => true := by
intro i
induction xs generalizing i with
| nil => simp_all
| cons x xs ih =>
simp_all only [Bool.not_eq_true, findIdx?_cons, Nat.zero_add, findIdx?_succ]
cases i with
| zero =>
split at w <;> simp_all
| succ i =>
simp only [get?_cons_succ]
apply ih
split at w <;> simp_all
@[simp] theorem findIdx?_append :
(xs ++ ys : List α).findIdx? p =
(xs.findIdx? p <|> (ys.findIdx? p).map fun i => i + xs.length) := by
induction xs with simp
| cons _ _ _ => split <;> simp_all [Option.map_orElse, Option.map_map]; rfl
@[simp] theorem findIdx?_replicate :
(replicate n a).findIdx? p = if 0 < n ∧ p a then some 0 else none := by
induction n with
| zero => simp
| succ n ih =>
simp only [replicate, findIdx?_cons, Nat.zero_add, findIdx?_succ, Nat.zero_lt_succ, true_and]
split <;> simp_all
theorem Pairwise.sublist : l₁ <+ l₂ → l₂.Pairwise R → l₁.Pairwise R
| .slnil, h => h
| .cons _ s, .cons _ h₂ => h₂.sublist s
| .cons₂ _ s, .cons h₁ h₂ => (h₂.sublist s).cons fun _ h => h₁ _ (s.subset h)
theorem pairwise_map {l : List α} :
(l.map f).Pairwise R ↔ l.Pairwise fun a b => R (f a) (f b) := by
induction l
· simp
· simp only [map, pairwise_cons, forall_mem_map_iff, *]
theorem pairwise_append {l₁ l₂ : List α} :
(l₁ ++ l₂).Pairwise R ↔ l₁.Pairwise R ∧ l₂.Pairwise R ∧ ∀ a ∈ l₁, ∀ b ∈ l₂, R a b := by
induction l₁ <;> simp [*, or_imp, forall_and, and_assoc, and_left_comm]
theorem pairwise_reverse {l : List α} :
l.reverse.Pairwise R ↔ l.Pairwise (fun a b => R b a) := by
induction l <;> simp [*, pairwise_append, and_comm]
theorem Pairwise.imp {α R S} (H : ∀ {a b}, R a b → S a b) :
∀ {l : List α}, l.Pairwise R → l.Pairwise S
| _, .nil => .nil
| _, .cons h₁ h₂ => .cons (H ∘ h₁ ·) (h₂.imp H)
theorem replaceF_nil : [].replaceF p = [] := rfl
theorem replaceF_cons (a : α) (l : List α) :
(a :: l).replaceF p = match p a with
| none => a :: replaceF p l
| some a' => a' :: l := rfl
theorem replaceF_cons_of_some {l : List α} (p) (h : p a = some a') :
(a :: l).replaceF p = a' :: l := by
simp [replaceF_cons, h]
theorem replaceF_cons_of_none {l : List α} (p) (h : p a = none) :
(a :: l).replaceF p = a :: l.replaceF p := by simp [replaceF_cons, h]
theorem replaceF_of_forall_none {l : List α} (h : ∀ a, a ∈ l → p a = none) : l.replaceF p = l := by
induction l with
| nil => rfl
| cons _ _ ih => simp [h _ (.head ..), ih (forall_mem_cons.1 h).2]
theorem exists_of_replaceF : ∀ {l : List α} {a a'} (al : a ∈ l) (pa : p a = some a'),
∃ a a' l₁ l₂,
(∀ b ∈ l₁, p b = none) ∧ p a = some a' ∧ l = l₁ ++ a :: l₂ ∧ l.replaceF p = l₁ ++ a' :: l₂
| b :: l, a, a', al, pa =>
match pb : p b with
| some b' => ⟨b, b', [], l, forall_mem_nil _, pb, by simp [pb]⟩
| none =>
match al with
| .head .. => nomatch pb.symm.trans pa
| .tail _ al =>
let ⟨c, c', l₁, l₂, h₁, h₂, h₃, h₄⟩ := exists_of_replaceF al pa
⟨c, c', b::l₁, l₂, (forall_mem_cons ..).2 ⟨pb, h₁⟩,
h₂, by rw [h₃, cons_append], by simp [pb, h₄]⟩
theorem exists_or_eq_self_of_replaceF (p) (l : List α) :
l.replaceF p = l ∨ ∃ a a' l₁ l₂,
(∀ b ∈ l₁, p b = none) ∧ p a = some a' ∧ l = l₁ ++ a :: l₂ ∧ l.replaceF p = l₁ ++ a' :: l₂ :=
if h : ∃ a ∈ l, (p a).isSome then
let ⟨_, ha, pa⟩ := h
.inr (exists_of_replaceF ha (Option.get_mem pa))
else
.inl <| replaceF_of_forall_none fun a ha =>
Option.not_isSome_iff_eq_none.1 fun h' => h ⟨a, ha, h'⟩
@[simp] theorem length_replaceF : length (replaceF f l) = length l := by
induction l <;> simp [replaceF]; split <;> simp [*]
theorem disjoint_symm (d : Disjoint l₁ l₂) : Disjoint l₂ l₁ := fun _ i₂ i₁ => d i₁ i₂
theorem disjoint_comm : Disjoint l₁ l₂ ↔ Disjoint l₂ l₁ := ⟨disjoint_symm, disjoint_symm⟩
theorem disjoint_left : Disjoint l₁ l₂ ↔ ∀ ⦃a⦄, a ∈ l₁ → a ∉ l₂ := by simp [Disjoint]
theorem disjoint_right : Disjoint l₁ l₂ ↔ ∀ ⦃a⦄, a ∈ l₂ → a ∉ l₁ := disjoint_comm
theorem disjoint_iff_ne : Disjoint l₁ l₂ ↔ ∀ a ∈ l₁, ∀ b ∈ l₂, a ≠ b :=
⟨fun h _ al1 _ bl2 ab => h al1 (ab ▸ bl2), fun h _ al1 al2 => h _ al1 _ al2 rfl⟩
theorem disjoint_of_subset_left (ss : l₁ ⊆ l) (d : Disjoint l l₂) : Disjoint l₁ l₂ :=
fun _ m => d (ss m)
theorem disjoint_of_subset_right (ss : l₂ ⊆ l) (d : Disjoint l₁ l) : Disjoint l₁ l₂ :=
fun _ m m₁ => d m (ss m₁)
theorem disjoint_of_disjoint_cons_left {l₁ l₂} : Disjoint (a :: l₁) l₂ → Disjoint l₁ l₂ :=
disjoint_of_subset_left (subset_cons _ _)
theorem disjoint_of_disjoint_cons_right {l₁ l₂} : Disjoint l₁ (a :: l₂) → Disjoint l₁ l₂ :=
disjoint_of_subset_right (subset_cons _ _)
@[simp] theorem disjoint_nil_left (l : List α) : Disjoint [] l := fun a => (not_mem_nil a).elim
@[simp] theorem disjoint_nil_right (l : List α) : Disjoint l [] := by
rw [disjoint_comm]; exact disjoint_nil_left _
@[simp 1100] theorem singleton_disjoint : Disjoint [a] l ↔ a ∉ l := by simp [Disjoint]
@[simp 1100] theorem disjoint_singleton : Disjoint l [a] ↔ a ∉ l := by
rw [disjoint_comm, singleton_disjoint]
@[simp] theorem disjoint_append_left : Disjoint (l₁ ++ l₂) l ↔ Disjoint l₁ l ∧ Disjoint l₂ l := by
simp [Disjoint, or_imp, forall_and]
@[simp] theorem disjoint_append_right : Disjoint l (l₁ ++ l₂) ↔ Disjoint l l₁ ∧ Disjoint l l₂ :=
disjoint_comm.trans <| by rw [disjoint_append_left]; simp [disjoint_comm]
@[simp] theorem disjoint_cons_left : Disjoint (a::l₁) l₂ ↔ (a ∉ l₂) ∧ Disjoint l₁ l₂ :=
(disjoint_append_left (l₁ := [a])).trans <| by simp [singleton_disjoint]
@[simp] theorem disjoint_cons_right : Disjoint l₁ (a :: l₂) ↔ (a ∉ l₁) ∧ Disjoint l₁ l₂ :=
disjoint_comm.trans <| by rw [disjoint_cons_left]; simp [disjoint_comm]
theorem disjoint_of_disjoint_append_left_left (d : Disjoint (l₁ ++ l₂) l) : Disjoint l₁ l :=
(disjoint_append_left.1 d).1
theorem disjoint_of_disjoint_append_left_right (d : Disjoint (l₁ ++ l₂) l) : Disjoint l₂ l :=
(disjoint_append_left.1 d).2
theorem disjoint_of_disjoint_append_right_left (d : Disjoint l (l₁ ++ l₂)) : Disjoint l l₁ :=
(disjoint_append_right.1 d).1
theorem disjoint_of_disjoint_append_right_right (d : Disjoint l (l₁ ++ l₂)) : Disjoint l l₂ :=
(disjoint_append_right.1 d).2
theorem foldl_hom (f : α₁ → α₂) (g₁ : α₁ → β → α₁) (g₂ : α₂ → β → α₂) (l : List β) (init : α₁)
(H : ∀ x y, g₂ (f x) y = f (g₁ x y)) : l.foldl g₂ (f init) = f (l.foldl g₁ init) := by
induction l generalizing init <;> simp [*, H]
theorem foldr_hom (f : β₁ → β₂) (g₁ : α → β₁ → β₁) (g₂ : α → β₂ → β₂) (l : List α) (init : β₁)
(H : ∀ x y, g₂ x (f y) = f (g₁ x y)) : l.foldr g₂ (f init) = f (l.foldr g₁ init) := by
induction l <;> simp [*, H]
theorem inter_def [BEq α] (l₁ l₂ : List α) : l₁ ∩ l₂ = filter (elem · l₂) l₁ := rfl
@[simp] theorem mem_inter_iff [BEq α] [LawfulBEq α] {x : α} {l₁ l₂ : List α} :
x ∈ l₁ ∩ l₂ ↔ x ∈ l₁ ∧ x ∈ l₂ := by
cases l₁ <;> simp [List.inter_def, mem_filter]
@[simp]
theorem pair_mem_product {xs : List α} {ys : List β} {x : α} {y : β} :
(x, y) ∈ product xs ys ↔ x ∈ xs ∧ y ∈ ys := by
simp only [product, and_imp, mem_map, Prod.mk.injEq,
exists_eq_right_right, mem_bind, iff_self]
@[simp]
theorem leftpad_length (n : Nat) (a : α) (l : List α) :
(leftpad n a l).length = max n l.length := by
simp only [leftpad, length_append, length_replicate, Nat.sub_add_eq_max]
theorem leftpad_prefix (n : Nat) (a : α) (l : List α) :
replicate (n - length l) a <+: leftpad n a l := by
simp only [IsPrefix, leftpad]
exact Exists.intro l rfl
theorem leftpad_suffix (n : Nat) (a : α) (l : List α) : l <:+ (leftpad n a l) := by
simp only [IsSuffix, leftpad]
exact Exists.intro (replicate (n - length l) a) rfl
-- we use ForIn.forIn as the simp normal form
@[simp] theorem forIn_eq_forIn [Monad m] : @List.forIn α β m _ = forIn := rfl
theorem forIn_eq_bindList [Monad m] [LawfulMonad m]
(f : α → β → m (ForInStep β)) (l : List α) (init : β) :
forIn l init f = ForInStep.run <$> (ForInStep.yield init).bindList f l := by
induction l generalizing init <;> simp [*, map_eq_pure_bind]
congr; ext (b | b) <;> simp
@[simp] theorem forM_append [Monad m] [LawfulMonad m] (l₁ l₂ : List α) (f : α → m PUnit) :
(l₁ ++ l₂).forM f = (do l₁.forM f; l₂.forM f) := by induction l₁ <;> simp [*]
@[simp] theorem prefix_append (l₁ l₂ : List α) : l₁ <+: l₁ ++ l₂ := ⟨l₂, rfl⟩
@[simp] theorem suffix_append (l₁ l₂ : List α) : l₂ <:+ l₁ ++ l₂ := ⟨l₁, rfl⟩
theorem infix_append (l₁ l₂ l₃ : List α) : l₂ <:+: l₁ ++ l₂ ++ l₃ := ⟨l₁, l₃, rfl⟩
@[simp] theorem infix_append' (l₁ l₂ l₃ : List α) : l₂ <:+: l₁ ++ (l₂ ++ l₃) := by
rw [← List.append_assoc]; apply infix_append
theorem IsPrefix.isInfix : l₁ <+: l₂ → l₁ <:+: l₂ := fun ⟨t, h⟩ => ⟨[], t, h⟩
theorem IsSuffix.isInfix : l₁ <:+ l₂ → l₁ <:+: l₂ := fun ⟨t, h⟩ => ⟨t, [], by rw [h, append_nil]⟩
theorem nil_prefix (l : List α) : [] <+: l := ⟨l, rfl⟩
theorem nil_suffix (l : List α) : [] <:+ l := ⟨l, append_nil _⟩
theorem nil_infix (l : List α) : [] <:+: l := (nil_prefix _).isInfix
theorem prefix_refl (l : List α) : l <+: l := ⟨[], append_nil _⟩
theorem suffix_refl (l : List α) : l <:+ l := ⟨[], rfl⟩
theorem infix_refl (l : List α) : l <:+: l := (prefix_refl l).isInfix
@[simp] theorem suffix_cons (a : α) : ∀ l, l <:+ a :: l := suffix_append [a]
theorem infix_cons : l₁ <:+: l₂ → l₁ <:+: a :: l₂ := fun ⟨L₁, L₂, h⟩ => ⟨a :: L₁, L₂, h ▸ rfl⟩
theorem infix_concat : l₁ <:+: l₂ → l₁ <:+: concat l₂ a := fun ⟨L₁, L₂, h⟩ =>
⟨L₁, concat L₂ a, by simp [← h, concat_eq_append, append_assoc]⟩
theorem IsPrefix.trans : ∀ {l₁ l₂ l₃ : List α}, l₁ <+: l₂ → l₂ <+: l₃ → l₁ <+: l₃
| _, _, _, ⟨r₁, rfl⟩, ⟨r₂, rfl⟩ => ⟨r₁ ++ r₂, (append_assoc _ _ _).symm⟩
theorem IsSuffix.trans : ∀ {l₁ l₂ l₃ : List α}, l₁ <:+ l₂ → l₂ <:+ l₃ → l₁ <:+ l₃
| _, _, _, ⟨l₁, rfl⟩, ⟨l₂, rfl⟩ => ⟨l₂ ++ l₁, append_assoc _ _ _⟩
theorem IsInfix.trans : ∀ {l₁ l₂ l₃ : List α}, l₁ <:+: l₂ → l₂ <:+: l₃ → l₁ <:+: l₃
| l, _, _, ⟨l₁, r₁, rfl⟩, ⟨l₂, r₂, rfl⟩ => ⟨l₂ ++ l₁, r₁ ++ r₂, by simp only [append_assoc]⟩
protected theorem IsInfix.sublist : l₁ <:+: l₂ → l₁ <+ l₂
| ⟨_, _, h⟩ => h ▸ (sublist_append_right ..).trans (sublist_append_left ..)
protected theorem IsInfix.subset (hl : l₁ <:+: l₂) : l₁ ⊆ l₂ :=
hl.sublist.subset
protected theorem IsPrefix.sublist (h : l₁ <+: l₂) : l₁ <+ l₂ :=
h.isInfix.sublist
protected theorem IsPrefix.subset (hl : l₁ <+: l₂) : l₁ ⊆ l₂ :=
hl.sublist.subset
protected theorem IsSuffix.sublist (h : l₁ <:+ l₂) : l₁ <+ l₂ :=
h.isInfix.sublist
protected theorem IsSuffix.subset (hl : l₁ <:+ l₂) : l₁ ⊆ l₂ :=
hl.sublist.subset
@[simp] theorem reverse_suffix : reverse l₁ <:+ reverse l₂ ↔ l₁ <+: l₂ :=
⟨fun ⟨r, e⟩ => ⟨reverse r, by rw [← reverse_reverse l₁, ← reverse_append, e, reverse_reverse]⟩,
fun ⟨r, e⟩ => ⟨reverse r, by rw [← reverse_append, e]⟩⟩
@[simp] theorem reverse_prefix : reverse l₁ <+: reverse l₂ ↔ l₁ <:+ l₂ := by
rw [← reverse_suffix]; simp only [reverse_reverse]
@[simp] theorem reverse_infix : reverse l₁ <:+: reverse l₂ ↔ l₁ <:+: l₂ := by
refine ⟨fun ⟨s, t, e⟩ => ⟨reverse t, reverse s, ?_⟩, fun ⟨s, t, e⟩ => ⟨reverse t, reverse s, ?_⟩⟩
· rw [← reverse_reverse l₁, append_assoc, ← reverse_append, ← reverse_append, e,
reverse_reverse]
· rw [append_assoc, ← reverse_append, ← reverse_append, e]
theorem IsInfix.length_le (h : l₁ <:+: l₂) : l₁.length ≤ l₂.length :=
h.sublist.length_le
theorem IsPrefix.length_le (h : l₁ <+: l₂) : l₁.length ≤ l₂.length :=
h.sublist.length_le
theorem IsSuffix.length_le (h : l₁ <:+ l₂) : l₁.length ≤ l₂.length :=
h.sublist.length_le
@[simp] theorem infix_nil : l <:+: [] ↔ l = [] := ⟨(sublist_nil.1 ·.sublist), (· ▸ infix_refl _)⟩
@[simp] theorem prefix_nil : l <+: [] ↔ l = [] := ⟨(sublist_nil.1 ·.sublist), (· ▸ prefix_refl _)⟩
@[simp] theorem suffix_nil : l <:+ [] ↔ l = [] := ⟨(sublist_nil.1 ·.sublist), (· ▸ suffix_refl _)⟩
theorem infix_iff_prefix_suffix (l₁ l₂ : List α) : l₁ <:+: l₂ ↔ ∃ t, l₁ <+: t ∧ t <:+ l₂ :=
⟨fun ⟨_, t, e⟩ => ⟨l₁ ++ t, ⟨_, rfl⟩, e ▸ append_assoc .. ▸ ⟨_, rfl⟩⟩,
fun ⟨_, ⟨t, rfl⟩, s, e⟩ => ⟨s, t, append_assoc .. ▸ e⟩⟩
theorem IsInfix.eq_of_length (h : l₁ <:+: l₂) : l₁.length = l₂.length → l₁ = l₂ :=
h.sublist.eq_of_length
theorem IsPrefix.eq_of_length (h : l₁ <+: l₂) : l₁.length = l₂.length → l₁ = l₂ :=
h.sublist.eq_of_length
theorem IsSuffix.eq_of_length (h : l₁ <:+ l₂) : l₁.length = l₂.length → l₁ = l₂ :=
h.sublist.eq_of_length
theorem prefix_of_prefix_length_le :
∀ {l₁ l₂ l₃ : List α}, l₁ <+: l₃ → l₂ <+: l₃ → length l₁ ≤ length l₂ → l₁ <+: l₂
| [], l₂, _, _, _, _ => nil_prefix _
| a :: l₁, b :: l₂, _, ⟨r₁, rfl⟩, ⟨r₂, e⟩, ll => by
injection e with _ e'; subst b
rcases prefix_of_prefix_length_le ⟨_, rfl⟩ ⟨_, e'⟩ (le_of_succ_le_succ ll) with ⟨r₃, rfl⟩
exact ⟨r₃, rfl⟩
theorem prefix_or_prefix_of_prefix (h₁ : l₁ <+: l₃) (h₂ : l₂ <+: l₃) : l₁ <+: l₂ ∨ l₂ <+: l₁ :=
(Nat.le_total (length l₁) (length l₂)).imp (prefix_of_prefix_length_le h₁ h₂)
(prefix_of_prefix_length_le h₂ h₁)
theorem suffix_of_suffix_length_le
(h₁ : l₁ <:+ l₃) (h₂ : l₂ <:+ l₃) (ll : length l₁ ≤ length l₂) : l₁ <:+ l₂ :=
reverse_prefix.1 <|
prefix_of_prefix_length_le (reverse_prefix.2 h₁) (reverse_prefix.2 h₂) (by simp [ll])
theorem suffix_or_suffix_of_suffix (h₁ : l₁ <:+ l₃) (h₂ : l₂ <:+ l₃) : l₁ <:+ l₂ ∨ l₂ <:+ l₁ :=
(prefix_or_prefix_of_prefix (reverse_prefix.2 h₁) (reverse_prefix.2 h₂)).imp reverse_prefix.1
reverse_prefix.1
theorem suffix_cons_iff : l₁ <:+ a :: l₂ ↔ l₁ = a :: l₂ ∨ l₁ <:+ l₂ := by
constructor
· rintro ⟨⟨hd, tl⟩, hl₃⟩
· exact Or.inl hl₃
· simp only [cons_append] at hl₃
injection hl₃ with _ hl₄
exact Or.inr ⟨_, hl₄⟩
· rintro (rfl | hl₁)
· exact (a :: l₂).suffix_refl
· exact hl₁.trans (l₂.suffix_cons _)
theorem infix_cons_iff : l₁ <:+: a :: l₂ ↔ l₁ <+: a :: l₂ ∨ l₁ <:+: l₂ := by
constructor
· rintro ⟨⟨hd, tl⟩, t, hl₃⟩
· exact Or.inl ⟨t, hl₃⟩
· simp only [cons_append] at hl₃
injection hl₃ with _ hl₄
exact Or.inr ⟨_, t, hl₄⟩
· rintro (h | hl₁)
· exact h.isInfix
· exact infix_cons hl₁
theorem infix_of_mem_join : ∀ {L : List (List α)}, l ∈ L → l <:+: join L
| l' :: _, h =>
match h with
| List.Mem.head .. => infix_append [] _ _
| List.Mem.tail _ hlMemL =>
IsInfix.trans (infix_of_mem_join hlMemL) <| (suffix_append _ _).isInfix
theorem prefix_append_right_inj (l) : l ++ l₁ <+: l ++ l₂ ↔ l₁ <+: l₂ :=
exists_congr fun r => by rw [append_assoc, append_right_inj]
@[simp]
theorem prefix_cons_inj (a) : a :: l₁ <+: a :: l₂ ↔ l₁ <+: l₂ :=
prefix_append_right_inj [a]
theorem take_prefix (n) (l : List α) : take n l <+: l :=
⟨_, take_append_drop _ _⟩
theorem drop_suffix (n) (l : List α) : drop n l <:+ l :=
⟨_, take_append_drop _ _⟩
theorem take_sublist (n) (l : List α) : take n l <+ l :=
(take_prefix n l).sublist
theorem drop_sublist (n) (l : List α) : drop n l <+ l :=
(drop_suffix n l).sublist
theorem take_subset (n) (l : List α) : take n l ⊆ l :=
(take_sublist n l).subset
theorem drop_subset (n) (l : List α) : drop n l ⊆ l :=
(drop_sublist n l).subset
theorem mem_of_mem_take {l : List α} (h : a ∈ l.take n) : a ∈ l :=
take_subset n l h
theorem IsPrefix.filter (p : α → Bool) ⦃l₁ l₂ : List α⦄ (h : l₁ <+: l₂) :
l₁.filter p <+: l₂.filter p := by
obtain ⟨xs, rfl⟩ := h
rw [filter_append]; apply prefix_append
theorem IsSuffix.filter (p : α → Bool) ⦃l₁ l₂ : List α⦄ (h : l₁ <:+ l₂) :
l₁.filter p <:+ l₂.filter p := by
obtain ⟨xs, rfl⟩ := h
rw [filter_append]; apply suffix_append
theorem IsInfix.filter (p : α → Bool) ⦃l₁ l₂ : List α⦄ (h : l₁ <:+: l₂) :
l₁.filter p <:+: l₂.filter p := by
obtain ⟨xs, ys, rfl⟩ := h
rw [filter_append, filter_append]; apply infix_append _
theorem mem_of_mem_drop {n} {l : List α} (h : a ∈ l.drop n) : a ∈ l := drop_subset _ _ h
theorem disjoint_take_drop : ∀ {l : List α}, l.Nodup → m ≤ n → Disjoint (l.take m) (l.drop n)
| [], _, _ => by simp
| x :: xs, hl, h => by
cases m <;> cases n <;> simp only [disjoint_cons_left, drop, not_mem_nil, disjoint_nil_left,
take, not_false_eq_true, and_self]
· case succ.zero => cases h
· cases hl with | cons h₀ h₁ =>
refine ⟨fun h => h₀ _ (mem_of_mem_drop h) rfl, ?_⟩
exact disjoint_take_drop h₁ (Nat.le_of_succ_le_succ h)
attribute [simp] Chain.nil
@[simp]
theorem chain_cons {a b : α} {l : List α} : Chain R a (b :: l) ↔ R a b ∧ Chain R b l :=
⟨fun p => by cases p with | cons n p => exact ⟨n, p⟩,
fun ⟨n, p⟩ => p.cons n⟩
theorem rel_of_chain_cons {a b : α} {l : List α} (p : Chain R a (b :: l)) : R a b :=
(chain_cons.1 p).1
theorem chain_of_chain_cons {a b : α} {l : List α} (p : Chain R a (b :: l)) : Chain R b l :=
(chain_cons.1 p).2
theorem Chain.imp' {R S : α → α → Prop} (HRS : ∀ ⦃a b⦄, R a b → S a b) {a b : α}
(Hab : ∀ ⦃c⦄, R a c → S b c) {l : List α} (p : Chain R a l) : Chain S b l := by
induction p generalizing b with
| nil => constructor
| cons r _ ih =>
constructor
· exact Hab r
· exact ih (@HRS _)
theorem Chain.imp {R S : α → α → Prop} (H : ∀ a b, R a b → S a b) {a : α} {l : List α}
(p : Chain R a l) : Chain S a l :=
p.imp' H (H a)
protected theorem Pairwise.chain (p : Pairwise R (a :: l)) : Chain R a l := by
let ⟨r, p'⟩ := pairwise_cons.1 p; clear p
induction p' generalizing a with
| nil => exact Chain.nil
| @cons b l r' _ IH =>
simp only [chain_cons, forall_mem_cons] at r
exact chain_cons.2 ⟨r.1, IH r'⟩
@[simp] theorem length_range' (s step) : ∀ n : Nat, length (range' s n step) = n
| 0 => rfl
| _ + 1 => congrArg succ (length_range' _ _ _)
@[simp] theorem range'_eq_nil : range' s n step = [] ↔ n = 0 := by
rw [← length_eq_zero, length_range']
theorem mem_range' : ∀{n}, m ∈ range' s n step ↔ ∃ i < n, m = s + step * i
| 0 => by simp [range', Nat.not_lt_zero]
| n + 1 => by
have h (i) : i ≤ n ↔ i = 0 ∨ ∃ j, i = succ j ∧ j < n := by cases i <;> simp [Nat.succ_le]
simp [range', mem_range', Nat.lt_succ, h]; simp only [← exists_and_right, and_assoc]
rw [exists_comm]; simp [Nat.mul_succ, Nat.add_assoc, Nat.add_comm]
@[simp] theorem mem_range'_1 : m ∈ range' s n ↔ s ≤ m ∧ m < s + n := by
simp [mem_range']; exact ⟨
fun ⟨i, h, e⟩ => e ▸ ⟨Nat.le_add_right .., Nat.add_lt_add_left h _⟩,
fun ⟨h₁, h₂⟩ => ⟨m - s, Nat.sub_lt_left_of_lt_add h₁ h₂, (Nat.add_sub_cancel' h₁).symm⟩⟩
@[simp]
theorem map_add_range' (a) : ∀ s n step, map (a + ·) (range' s n step) = range' (a + s) n step
| _, 0, _ => rfl
| s, n + 1, step => by simp [range', map_add_range' _ (s + step) n step, Nat.add_assoc]
theorem map_sub_range' (a s n : Nat) (h : a ≤ s) :
map (· - a) (range' s n step) = range' (s - a) n step := by
conv => lhs; rw [← Nat.add_sub_cancel' h]
rw [← map_add_range', map_map, (?_ : _∘_ = _), map_id]
funext x; apply Nat.add_sub_cancel_left
theorem chain_succ_range' : ∀ s n step : Nat,
Chain (fun a b => b = a + step) s (range' (s + step) n step)
| _, 0, _ => Chain.nil
| s, n + 1, step => (chain_succ_range' (s + step) n step).cons rfl
theorem chain_lt_range' (s n : Nat) {step} (h : 0 < step) :
Chain (· < ·) s (range' (s + step) n step) :=
(chain_succ_range' s n step).imp fun _ _ e => e.symm ▸ Nat.lt_add_of_pos_right h
theorem range'_append : ∀ s m n step : Nat,
range' s m step ++ range' (s + step * m) n step = range' s (n + m) step
| s, 0, n, step => rfl
| s, m + 1, n, step => by
simpa [range', Nat.mul_succ, Nat.add_assoc, Nat.add_comm]
using range'_append (s + step) m n step
@[simp] theorem range'_append_1 (s m n : Nat) :
range' s m ++ range' (s + m) n = range' s (n + m) := by simpa using range'_append s m n 1
theorem range'_sublist_right {s m n : Nat} : range' s m step <+ range' s n step ↔ m ≤ n :=
⟨fun h => by simpa only [length_range'] using h.length_le,
fun h => by rw [← Nat.sub_add_cancel h, ← range'_append]; apply sublist_append_left⟩
theorem range'_subset_right {s m n : Nat} (step0 : 0 < step) :
range' s m step ⊆ range' s n step ↔ m ≤ n := by
refine ⟨fun h => Nat.le_of_not_lt fun hn => ?_, fun h => (range'_sublist_right.2 h).subset⟩
have ⟨i, h', e⟩ := mem_range'.1 <| h <| mem_range'.2 ⟨_, hn, rfl⟩
exact Nat.ne_of_gt h' (Nat.eq_of_mul_eq_mul_left step0 (Nat.add_left_cancel e))
theorem range'_subset_right_1 {s m n : Nat} : range' s m ⊆ range' s n ↔ m ≤ n :=
range'_subset_right (by decide)
theorem get?_range' (s step) : ∀ {m n : Nat}, m < n → get? (range' s n step) m = some (s + step * m)
| 0, n + 1, _ => rfl
| m + 1, n + 1, h =>
(get?_range' (s + step) step (Nat.lt_of_add_lt_add_right h)).trans <| by
simp [Nat.mul_succ, Nat.add_assoc, Nat.add_comm]
@[simp] theorem get_range' {n m step} (i) (H : i < (range' n m step).length) :
get (range' n m step) ⟨i, H⟩ = n + step * i :=
(get?_eq_some.1 <| get?_range' n step (by simpa using H)).2
theorem range'_concat (s n : Nat) : range' s (n + 1) step = range' s n step ++ [s + step * n] := by
rw [Nat.add_comm n 1]; exact (range'_append s n 1 step).symm
theorem range'_1_concat (s n : Nat) : range' s (n + 1) = range' s n ++ [s + n] := by
simp [range'_concat]
theorem range_loop_range' : ∀ s n : Nat, range.loop s (range' s n) = range' 0 (n + s)
| 0, n => rfl
| s + 1, n => by rw [← Nat.add_assoc, Nat.add_right_comm n s 1]; exact range_loop_range' s (n + 1)
theorem range_eq_range' (n : Nat) : range n = range' 0 n :=
(range_loop_range' n 0).trans <| by rw [Nat.zero_add]
theorem range_succ_eq_map (n : Nat) : range (n + 1) = 0 :: map succ (range n) := by
rw [range_eq_range', range_eq_range', range', Nat.add_comm, ← map_add_range']
congr; exact funext one_add
theorem range'_eq_map_range (s n : Nat) : range' s n = map (s + ·) (range n) := by
rw [range_eq_range', map_add_range']; rfl
@[simp] theorem length_range (n : Nat) : length (range n) = n := by
simp only [range_eq_range', length_range']
@[simp] theorem range_eq_nil {n : Nat} : range n = [] ↔ n = 0 := by
rw [← length_eq_zero, length_range]
@[simp]
theorem range_sublist {m n : Nat} : range m <+ range n ↔ m ≤ n := by
simp only [range_eq_range', range'_sublist_right]
@[simp]
theorem range_subset {m n : Nat} : range m ⊆ range n ↔ m ≤ n := by
simp only [range_eq_range', range'_subset_right, lt_succ_self]
@[simp]
theorem mem_range {m n : Nat} : m ∈ range n ↔ m < n := by
simp only [range_eq_range', mem_range'_1, Nat.zero_le, true_and, Nat.zero_add]
| .lake/packages/batteries/Batteries/Data/List/Lemmas.lean | 1,382 | 1,382 | theorem not_mem_range_self {n : Nat} : n ∉ range n := by | simp
|
import Mathlib.Data.Nat.Lattice
import Mathlib.Logic.Denumerable
import Mathlib.Logic.Function.Iterate
import Mathlib.Order.Hom.Basic
import Mathlib.Data.Set.Subsingleton
#align_import order.order_iso_nat from "leanprover-community/mathlib"@"210657c4ea4a4a7b234392f70a3a2a83346dfa90"
variable {α : Type*}
namespace RelEmbedding
variable {r : α → α → Prop} [IsStrictOrder α r]
def natLT (f : ℕ → α) (H : ∀ n : ℕ, r (f n) (f (n + 1))) : ((· < ·) : ℕ → ℕ → Prop) ↪r r :=
ofMonotone f <| Nat.rel_of_forall_rel_succ_of_lt r H
#align rel_embedding.nat_lt RelEmbedding.natLT
@[simp]
theorem coe_natLT {f : ℕ → α} {H : ∀ n : ℕ, r (f n) (f (n + 1))} : ⇑(natLT f H) = f :=
rfl
#align rel_embedding.coe_nat_lt RelEmbedding.coe_natLT
def natGT (f : ℕ → α) (H : ∀ n : ℕ, r (f (n + 1)) (f n)) : ((· > ·) : ℕ → ℕ → Prop) ↪r r :=
haveI := IsStrictOrder.swap r
RelEmbedding.swap (natLT f H)
#align rel_embedding.nat_gt RelEmbedding.natGT
@[simp]
theorem coe_natGT {f : ℕ → α} {H : ∀ n : ℕ, r (f (n + 1)) (f n)} : ⇑(natGT f H) = f :=
rfl
#align rel_embedding.coe_nat_gt RelEmbedding.coe_natGT
theorem exists_not_acc_lt_of_not_acc {a : α} {r} (h : ¬Acc r a) : ∃ b, ¬Acc r b ∧ r b a := by
contrapose! h
refine ⟨_, fun b hr => ?_⟩
by_contra hb
exact h b hb hr
#align rel_embedding.exists_not_acc_lt_of_not_acc RelEmbedding.exists_not_acc_lt_of_not_acc
theorem acc_iff_no_decreasing_seq {x} :
Acc r x ↔ IsEmpty { f : ((· > ·) : ℕ → ℕ → Prop) ↪r r // x ∈ Set.range f } := by
constructor
· refine fun h => h.recOn fun x _ IH => ?_
constructor
rintro ⟨f, k, hf⟩
exact IsEmpty.elim' (IH (f (k + 1)) (hf ▸ f.map_rel_iff.2 (lt_add_one k))) ⟨f, _, rfl⟩
· have : ∀ x : { a // ¬Acc r a }, ∃ y : { a // ¬Acc r a }, r y.1 x.1 := by
rintro ⟨x, hx⟩
cases exists_not_acc_lt_of_not_acc hx with
| intro w h => exact ⟨⟨w, h.1⟩, h.2⟩
choose f h using this
refine fun E =>
by_contradiction fun hx => E.elim' ⟨natGT (fun n => (f^[n] ⟨x, hx⟩).1) fun n => ?_, 0, rfl⟩
simp only [Function.iterate_succ']
apply h
#align rel_embedding.acc_iff_no_decreasing_seq RelEmbedding.acc_iff_no_decreasing_seq
| Mathlib/Order/OrderIsoNat.lean | 84 | 86 | theorem not_acc_of_decreasing_seq (f : ((· > ·) : ℕ → ℕ → Prop) ↪r r) (k : ℕ) : ¬Acc r (f k) := by |
rw [acc_iff_no_decreasing_seq, not_isEmpty_iff]
exact ⟨⟨f, k, rfl⟩⟩
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Basic
import Mathlib.RingTheory.Ideal.Maps
import Mathlib.RingTheory.MvPowerSeries.Basic
#align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60"
noncomputable section
open Finset (antidiagonal mem_antidiagonal)
def PowerSeries (R : Type*) :=
MvPowerSeries Unit R
#align power_series PowerSeries
namespace PowerSeries
open Finsupp (single)
variable {R : Type*}
section
-- Porting note: not available in Lean 4
-- local reducible PowerSeries
scoped notation:9000 R "⟦X⟧" => PowerSeries R
instance [Inhabited R] : Inhabited R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [Zero R] : Zero R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [AddMonoid R] : AddMonoid R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [AddGroup R] : AddGroup R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [AddCommMonoid R] : AddCommMonoid R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [AddCommGroup R] : AddCommGroup R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [Semiring R] : Semiring R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [CommSemiring R] : CommSemiring R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [Ring R] : Ring R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [CommRing R] : CommRing R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [Nontrivial R] : Nontrivial R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance {A} [Semiring R] [AddCommMonoid A] [Module R A] : Module R A⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance {A S} [Semiring R] [Semiring S] [AddCommMonoid A] [Module R A] [Module S A] [SMul R S]
[IsScalarTower R S A] : IsScalarTower R S A⟦X⟧ :=
Pi.isScalarTower
instance {A} [Semiring A] [CommSemiring R] [Algebra R A] : Algebra R A⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
end
section Semiring
variable (R) [Semiring R]
def coeff (n : ℕ) : R⟦X⟧ →ₗ[R] R :=
MvPowerSeries.coeff R (single () n)
#align power_series.coeff PowerSeries.coeff
def monomial (n : ℕ) : R →ₗ[R] R⟦X⟧ :=
MvPowerSeries.monomial R (single () n)
#align power_series.monomial PowerSeries.monomial
variable {R}
theorem coeff_def {s : Unit →₀ ℕ} {n : ℕ} (h : s () = n) : coeff R n = MvPowerSeries.coeff R s := by
erw [coeff, ← h, ← Finsupp.unique_single s]
#align power_series.coeff_def PowerSeries.coeff_def
@[ext]
theorem ext {φ ψ : R⟦X⟧} (h : ∀ n, coeff R n φ = coeff R n ψ) : φ = ψ :=
MvPowerSeries.ext fun n => by
rw [← coeff_def]
· apply h
rfl
#align power_series.ext PowerSeries.ext
theorem ext_iff {φ ψ : R⟦X⟧} : φ = ψ ↔ ∀ n, coeff R n φ = coeff R n ψ :=
⟨fun h n => congr_arg (coeff R n) h, ext⟩
#align power_series.ext_iff PowerSeries.ext_iff
instance [Subsingleton R] : Subsingleton R⟦X⟧ := by
simp only [subsingleton_iff, ext_iff]
exact fun _ _ _ ↦ (subsingleton_iff).mp (by infer_instance) _ _
def mk {R} (f : ℕ → R) : R⟦X⟧ := fun s => f (s ())
#align power_series.mk PowerSeries.mk
@[simp]
theorem coeff_mk (n : ℕ) (f : ℕ → R) : coeff R n (mk f) = f n :=
congr_arg f Finsupp.single_eq_same
#align power_series.coeff_mk PowerSeries.coeff_mk
theorem coeff_monomial (m n : ℕ) (a : R) : coeff R m (monomial R n a) = if m = n then a else 0 :=
calc
coeff R m (monomial R n a) = _ := MvPowerSeries.coeff_monomial _ _ _
_ = if m = n then a else 0 := by simp only [Finsupp.unique_single_eq_iff]
#align power_series.coeff_monomial PowerSeries.coeff_monomial
theorem monomial_eq_mk (n : ℕ) (a : R) : monomial R n a = mk fun m => if m = n then a else 0 :=
ext fun m => by rw [coeff_monomial, coeff_mk]
#align power_series.monomial_eq_mk PowerSeries.monomial_eq_mk
@[simp]
theorem coeff_monomial_same (n : ℕ) (a : R) : coeff R n (monomial R n a) = a :=
MvPowerSeries.coeff_monomial_same _ _
#align power_series.coeff_monomial_same PowerSeries.coeff_monomial_same
@[simp]
theorem coeff_comp_monomial (n : ℕ) : (coeff R n).comp (monomial R n) = LinearMap.id :=
LinearMap.ext <| coeff_monomial_same n
#align power_series.coeff_comp_monomial PowerSeries.coeff_comp_monomial
variable (R)
def constantCoeff : R⟦X⟧ →+* R :=
MvPowerSeries.constantCoeff Unit R
#align power_series.constant_coeff PowerSeries.constantCoeff
def C : R →+* R⟦X⟧ :=
MvPowerSeries.C Unit R
set_option linter.uppercaseLean3 false in
#align power_series.C PowerSeries.C
variable {R}
def X : R⟦X⟧ :=
MvPowerSeries.X ()
set_option linter.uppercaseLean3 false in
#align power_series.X PowerSeries.X
theorem commute_X (φ : R⟦X⟧) : Commute φ X :=
MvPowerSeries.commute_X _ _
set_option linter.uppercaseLean3 false in
#align power_series.commute_X PowerSeries.commute_X
@[simp]
theorem coeff_zero_eq_constantCoeff : ⇑(coeff R 0) = constantCoeff R := by
rw [coeff, Finsupp.single_zero]
rfl
#align power_series.coeff_zero_eq_constant_coeff PowerSeries.coeff_zero_eq_constantCoeff
theorem coeff_zero_eq_constantCoeff_apply (φ : R⟦X⟧) : coeff R 0 φ = constantCoeff R φ := by
rw [coeff_zero_eq_constantCoeff]
#align power_series.coeff_zero_eq_constant_coeff_apply PowerSeries.coeff_zero_eq_constantCoeff_apply
@[simp]
theorem monomial_zero_eq_C : ⇑(monomial R 0) = C R := by
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [monomial, Finsupp.single_zero, MvPowerSeries.monomial_zero_eq_C]
set_option linter.uppercaseLean3 false in
#align power_series.monomial_zero_eq_C PowerSeries.monomial_zero_eq_C
theorem monomial_zero_eq_C_apply (a : R) : monomial R 0 a = C R a := by simp
set_option linter.uppercaseLean3 false in
#align power_series.monomial_zero_eq_C_apply PowerSeries.monomial_zero_eq_C_apply
theorem coeff_C (n : ℕ) (a : R) : coeff R n (C R a : R⟦X⟧) = if n = 0 then a else 0 := by
rw [← monomial_zero_eq_C_apply, coeff_monomial]
set_option linter.uppercaseLean3 false in
#align power_series.coeff_C PowerSeries.coeff_C
@[simp]
theorem coeff_zero_C (a : R) : coeff R 0 (C R a) = a := by
rw [coeff_C, if_pos rfl]
set_option linter.uppercaseLean3 false in
#align power_series.coeff_zero_C PowerSeries.coeff_zero_C
| Mathlib/RingTheory/PowerSeries/Basic.lean | 260 | 261 | theorem coeff_ne_zero_C {a : R} {n : ℕ} (h : n ≠ 0) : coeff R n (C R a) = 0 := by |
rw [coeff_C, if_neg h]
|
import Mathlib.Algebra.Order.Group.TypeTags
import Mathlib.FieldTheory.RatFunc.Degree
import Mathlib.RingTheory.DedekindDomain.IntegralClosure
import Mathlib.RingTheory.IntegrallyClosed
import Mathlib.Topology.Algebra.ValuedField
#align_import number_theory.function_field from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
noncomputable section
open scoped nonZeroDivisors Polynomial DiscreteValuation
variable (Fq F : Type) [Field Fq] [Field F]
abbrev FunctionField [Algebra (RatFunc Fq) F] : Prop :=
FiniteDimensional (RatFunc Fq) F
#align function_field FunctionField
-- Porting note: Removed `protected`
| Mathlib/NumberTheory/FunctionField.lean | 62 | 80 | theorem functionField_iff (Fqt : Type*) [Field Fqt] [Algebra Fq[X] Fqt]
[IsFractionRing Fq[X] Fqt] [Algebra (RatFunc Fq) F] [Algebra Fqt F] [Algebra Fq[X] F]
[IsScalarTower Fq[X] Fqt F] [IsScalarTower Fq[X] (RatFunc Fq) F] :
FunctionField Fq F ↔ FiniteDimensional Fqt F := by |
let e := IsLocalization.algEquiv Fq[X]⁰ (RatFunc Fq) Fqt
have : ∀ (c) (x : F), e c • x = c • x := by
intro c x
rw [Algebra.smul_def, Algebra.smul_def]
congr
refine congr_fun (f := fun c => algebraMap Fqt F (e c)) ?_ c -- Porting note: Added `(f := _)`
refine IsLocalization.ext (nonZeroDivisors Fq[X]) _ _ ?_ ?_ ?_ ?_ ?_ <;> intros <;>
simp only [AlgEquiv.map_one, RingHom.map_one, AlgEquiv.map_mul, RingHom.map_mul,
AlgEquiv.commutes, ← IsScalarTower.algebraMap_apply]
constructor <;> intro h
· let b := FiniteDimensional.finBasis (RatFunc Fq) F
exact FiniteDimensional.of_fintype_basis (b.mapCoeffs e this)
· let b := FiniteDimensional.finBasis Fqt F
refine FiniteDimensional.of_fintype_basis (b.mapCoeffs e.symm ?_)
intro c x; convert (this (e.symm c) x).symm; simp only [e.apply_symm_apply]
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.FieldTheory.Minpoly.IsIntegrallyClosed
import Mathlib.RingTheory.PowerBasis
#align_import ring_theory.is_adjoin_root from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
open scoped Polynomial
open Polynomial
noncomputable section
universe u v
-- Porting note: this looks like something that should not be here
-- -- This class doesn't really make sense on a predicate
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure IsAdjoinRoot {R : Type u} (S : Type v) [CommSemiring R] [Semiring S] [Algebra R S]
(f : R[X]) : Type max u v where
map : R[X] →+* S
map_surjective : Function.Surjective map
ker_map : RingHom.ker map = Ideal.span {f}
algebraMap_eq : algebraMap R S = map.comp Polynomial.C
#align is_adjoin_root IsAdjoinRoot
-- This class doesn't really make sense on a predicate
-- @[nolint has_nonempty_instance] -- Porting note: This linter does not exist yet.
structure IsAdjoinRootMonic {R : Type u} (S : Type v) [CommSemiring R] [Semiring S] [Algebra R S]
(f : R[X]) extends IsAdjoinRoot S f where
Monic : Monic f
#align is_adjoin_root_monic IsAdjoinRootMonic
section Ring
variable {R : Type u} {S : Type v} [CommRing R] [Ring S] {f : R[X]} [Algebra R S]
namespace IsAdjoinRoot
def root (h : IsAdjoinRoot S f) : S :=
h.map X
#align is_adjoin_root.root IsAdjoinRoot.root
theorem subsingleton (h : IsAdjoinRoot S f) [Subsingleton R] : Subsingleton S :=
h.map_surjective.subsingleton
#align is_adjoin_root.subsingleton IsAdjoinRoot.subsingleton
theorem algebraMap_apply (h : IsAdjoinRoot S f) (x : R) :
algebraMap R S x = h.map (Polynomial.C x) := by rw [h.algebraMap_eq, RingHom.comp_apply]
#align is_adjoin_root.algebra_map_apply IsAdjoinRoot.algebraMap_apply
@[simp]
| Mathlib/RingTheory/IsAdjoinRoot.lean | 132 | 133 | theorem mem_ker_map (h : IsAdjoinRoot S f) {p} : p ∈ RingHom.ker h.map ↔ f ∣ p := by |
rw [h.ker_map, Ideal.mem_span_singleton]
|
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 FDerivProperties
theorem hasFDerivAtFilter_iff_tendsto :
HasFDerivAtFilter f f' x L ↔
Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - f' (x' - x)‖) L (𝓝 0) := by
have h : ∀ x', ‖x' - x‖ = 0 → ‖f x' - f x - f' (x' - x)‖ = 0 := fun x' hx' => by
rw [sub_eq_zero.1 (norm_eq_zero.1 hx')]
simp
rw [hasFDerivAtFilter_iff_isLittleO, ← isLittleO_norm_left, ← isLittleO_norm_right,
isLittleO_iff_tendsto h]
exact tendsto_congr fun _ => div_eq_inv_mul _ _
#align has_fderiv_at_filter_iff_tendsto hasFDerivAtFilter_iff_tendsto
theorem hasFDerivWithinAt_iff_tendsto :
HasFDerivWithinAt f f' s x ↔
Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - f' (x' - x)‖) (𝓝[s] x) (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
#align has_fderiv_within_at_iff_tendsto hasFDerivWithinAt_iff_tendsto
theorem hasFDerivAt_iff_tendsto :
HasFDerivAt f f' x ↔ Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - f' (x' - x)‖) (𝓝 x) (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
#align has_fderiv_at_iff_tendsto hasFDerivAt_iff_tendsto
theorem hasFDerivAt_iff_isLittleO_nhds_zero :
HasFDerivAt f f' x ↔ (fun h : E => f (x + h) - f x - f' h) =o[𝓝 0] fun h => h := by
rw [HasFDerivAt, hasFDerivAtFilter_iff_isLittleO, ← map_add_left_nhds_zero x, isLittleO_map]
simp [(· ∘ ·)]
#align has_fderiv_at_iff_is_o_nhds_zero hasFDerivAt_iff_isLittleO_nhds_zero
theorem HasFDerivAt.le_of_lip' {f : E → F} {f' : E →L[𝕜] F} {x₀ : E} (hf : HasFDerivAt f f' x₀)
{C : ℝ} (hC₀ : 0 ≤ C) (hlip : ∀ᶠ x in 𝓝 x₀, ‖f x - f x₀‖ ≤ C * ‖x - x₀‖) : ‖f'‖ ≤ C := by
refine le_of_forall_pos_le_add fun ε ε0 => opNorm_le_of_nhds_zero ?_ ?_
· exact add_nonneg hC₀ ε0.le
rw [← map_add_left_nhds_zero x₀, eventually_map] at hlip
filter_upwards [isLittleO_iff.1 (hasFDerivAt_iff_isLittleO_nhds_zero.1 hf) ε0, hlip] with y hy hyC
rw [add_sub_cancel_left] at hyC
calc
‖f' y‖ ≤ ‖f (x₀ + y) - f x₀‖ + ‖f (x₀ + y) - f x₀ - f' y‖ := norm_le_insert _ _
_ ≤ C * ‖y‖ + ε * ‖y‖ := add_le_add hyC hy
_ = (C + ε) * ‖y‖ := (add_mul _ _ _).symm
#align has_fderiv_at.le_of_lip' HasFDerivAt.le_of_lip'
theorem HasFDerivAt.le_of_lipschitzOn
{f : E → F} {f' : E →L[𝕜] F} {x₀ : E} (hf : HasFDerivAt f f' x₀)
{s : Set E} (hs : s ∈ 𝓝 x₀) {C : ℝ≥0} (hlip : LipschitzOnWith C f s) : ‖f'‖ ≤ C := by
refine hf.le_of_lip' C.coe_nonneg ?_
filter_upwards [hs] with x hx using hlip.norm_sub_le hx (mem_of_mem_nhds hs)
#align has_fderiv_at.le_of_lip HasFDerivAt.le_of_lipschitzOn
theorem HasFDerivAt.le_of_lipschitz {f : E → F} {f' : E →L[𝕜] F} {x₀ : E} (hf : HasFDerivAt f f' x₀)
{C : ℝ≥0} (hlip : LipschitzWith C f) : ‖f'‖ ≤ C :=
hf.le_of_lipschitzOn univ_mem (lipschitzOn_univ.2 hlip)
nonrec theorem HasFDerivAtFilter.mono (h : HasFDerivAtFilter f f' x L₂) (hst : L₁ ≤ L₂) :
HasFDerivAtFilter f f' x L₁ :=
.of_isLittleO <| h.isLittleO.mono hst
#align has_fderiv_at_filter.mono HasFDerivAtFilter.mono
theorem HasFDerivWithinAt.mono_of_mem (h : HasFDerivWithinAt f f' t x) (hst : t ∈ 𝓝[s] x) :
HasFDerivWithinAt f f' s x :=
h.mono <| nhdsWithin_le_iff.mpr hst
#align has_fderiv_within_at.mono_of_mem HasFDerivWithinAt.mono_of_mem
#align has_fderiv_within_at.nhds_within HasFDerivWithinAt.mono_of_mem
nonrec theorem HasFDerivWithinAt.mono (h : HasFDerivWithinAt f f' t x) (hst : s ⊆ t) :
HasFDerivWithinAt f f' s x :=
h.mono <| nhdsWithin_mono _ hst
#align has_fderiv_within_at.mono HasFDerivWithinAt.mono
theorem HasFDerivAt.hasFDerivAtFilter (h : HasFDerivAt f f' x) (hL : L ≤ 𝓝 x) :
HasFDerivAtFilter f f' x L :=
h.mono hL
#align has_fderiv_at.has_fderiv_at_filter HasFDerivAt.hasFDerivAtFilter
@[fun_prop]
theorem HasFDerivAt.hasFDerivWithinAt (h : HasFDerivAt f f' x) : HasFDerivWithinAt f f' s x :=
h.hasFDerivAtFilter inf_le_left
#align has_fderiv_at.has_fderiv_within_at HasFDerivAt.hasFDerivWithinAt
@[fun_prop]
theorem HasFDerivWithinAt.differentiableWithinAt (h : HasFDerivWithinAt f f' s x) :
DifferentiableWithinAt 𝕜 f s x :=
⟨f', h⟩
#align has_fderiv_within_at.differentiable_within_at HasFDerivWithinAt.differentiableWithinAt
@[fun_prop]
theorem HasFDerivAt.differentiableAt (h : HasFDerivAt f f' x) : DifferentiableAt 𝕜 f x :=
⟨f', h⟩
#align has_fderiv_at.differentiable_at HasFDerivAt.differentiableAt
@[simp]
theorem hasFDerivWithinAt_univ : HasFDerivWithinAt f f' univ x ↔ HasFDerivAt f f' x := by
simp only [HasFDerivWithinAt, nhdsWithin_univ]
rfl
#align has_fderiv_within_at_univ hasFDerivWithinAt_univ
alias ⟨HasFDerivWithinAt.hasFDerivAt_of_univ, _⟩ := hasFDerivWithinAt_univ
#align has_fderiv_within_at.has_fderiv_at_of_univ HasFDerivWithinAt.hasFDerivAt_of_univ
theorem hasFDerivWithinAt_of_mem_nhds (h : s ∈ 𝓝 x) :
HasFDerivWithinAt f f' s x ↔ HasFDerivAt f f' x := by
rw [HasFDerivAt, HasFDerivWithinAt, nhdsWithin_eq_nhds.mpr h]
lemma hasFDerivWithinAt_of_isOpen (h : IsOpen s) (hx : x ∈ s) :
HasFDerivWithinAt f f' s x ↔ HasFDerivAt f f' x :=
hasFDerivWithinAt_of_mem_nhds (h.mem_nhds hx)
| Mathlib/Analysis/Calculus/FDeriv/Basic.lean | 419 | 426 | theorem hasFDerivWithinAt_insert {y : E} :
HasFDerivWithinAt f f' (insert y s) x ↔ HasFDerivWithinAt f f' s x := by |
rcases eq_or_ne x y with (rfl | h)
· simp_rw [HasFDerivWithinAt, hasFDerivAtFilter_iff_isLittleO]
apply Asymptotics.isLittleO_insert
simp only [sub_self, map_zero]
refine ⟨fun h => h.mono <| subset_insert y s, fun hf => hf.mono_of_mem ?_⟩
simp_rw [nhdsWithin_insert_of_ne h, self_mem_nhdsWithin]
|
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
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
#align discrete_valuation_ring.iff_pid_with_one_nonzero_prime DiscreteValuationRing.iff_pid_with_one_nonzero_prime
| Mathlib/RingTheory/DiscreteValuationRing/Basic.lean | 148 | 151 | theorem associated_of_irreducible {a b : R} (ha : Irreducible a) (hb : Irreducible b) :
Associated a b := by |
rw [irreducible_iff_uniformizer] at ha hb
rw [← span_singleton_eq_span_singleton, ← ha, hb]
|
import Mathlib.LinearAlgebra.Contraction
import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff
#align_import linear_algebra.trace from "leanprover-community/mathlib"@"4cf7ca0e69e048b006674cf4499e5c7d296a89e0"
noncomputable section
universe u v w
namespace LinearMap
open Matrix
open FiniteDimensional
open TensorProduct
section
variable (R : Type u) [CommSemiring R] {M : Type v} [AddCommMonoid M] [Module R M]
variable {ι : Type w} [DecidableEq ι] [Fintype ι]
variable {κ : Type*} [DecidableEq κ] [Fintype κ]
variable (b : Basis ι R M) (c : Basis κ R M)
def traceAux : (M →ₗ[R] M) →ₗ[R] R :=
Matrix.traceLinearMap ι R R ∘ₗ ↑(LinearMap.toMatrix b b)
#align linear_map.trace_aux LinearMap.traceAux
-- Can't be `simp` because it would cause a loop.
theorem traceAux_def (b : Basis ι R M) (f : M →ₗ[R] M) :
traceAux R b f = Matrix.trace (LinearMap.toMatrix b b f) :=
rfl
#align linear_map.trace_aux_def LinearMap.traceAux_def
theorem traceAux_eq : traceAux R b = traceAux R c :=
LinearMap.ext fun f =>
calc
Matrix.trace (LinearMap.toMatrix b b f) =
Matrix.trace (LinearMap.toMatrix b b ((LinearMap.id.comp f).comp LinearMap.id)) := by
rw [LinearMap.id_comp, LinearMap.comp_id]
_ = Matrix.trace (LinearMap.toMatrix c b LinearMap.id * LinearMap.toMatrix c c f *
LinearMap.toMatrix b c LinearMap.id) := by
rw [LinearMap.toMatrix_comp _ c, LinearMap.toMatrix_comp _ c]
_ = Matrix.trace (LinearMap.toMatrix c c f * LinearMap.toMatrix b c LinearMap.id *
LinearMap.toMatrix c b LinearMap.id) := by
rw [Matrix.mul_assoc, Matrix.trace_mul_comm]
_ = Matrix.trace (LinearMap.toMatrix c c ((f.comp LinearMap.id).comp LinearMap.id)) := by
rw [LinearMap.toMatrix_comp _ b, LinearMap.toMatrix_comp _ c]
_ = Matrix.trace (LinearMap.toMatrix c c f) := by rw [LinearMap.comp_id, LinearMap.comp_id]
#align linear_map.trace_aux_eq LinearMap.traceAux_eq
open scoped Classical
variable (M)
def trace : (M →ₗ[R] M) →ₗ[R] R :=
if H : ∃ s : Finset M, Nonempty (Basis s R M) then traceAux R H.choose_spec.some else 0
#align linear_map.trace LinearMap.trace
variable {M}
theorem trace_eq_matrix_trace_of_finset {s : Finset M} (b : Basis s R M) (f : M →ₗ[R] M) :
trace R M f = Matrix.trace (LinearMap.toMatrix b b f) := by
have : ∃ s : Finset M, Nonempty (Basis s R M) := ⟨s, ⟨b⟩⟩
rw [trace, dif_pos this, ← traceAux_def]
congr 1
apply traceAux_eq
#align linear_map.trace_eq_matrix_trace_of_finset LinearMap.trace_eq_matrix_trace_of_finset
theorem trace_eq_matrix_trace (f : M →ₗ[R] M) :
trace R M f = Matrix.trace (LinearMap.toMatrix b b f) := by
rw [trace_eq_matrix_trace_of_finset R b.reindexFinsetRange, ← traceAux_def, ← traceAux_def,
traceAux_eq R b b.reindexFinsetRange]
#align linear_map.trace_eq_matrix_trace LinearMap.trace_eq_matrix_trace
theorem trace_mul_comm (f g : M →ₗ[R] M) : trace R M (f * g) = trace R M (g * f) :=
if H : ∃ s : Finset M, Nonempty (Basis s R M) then by
let ⟨s, ⟨b⟩⟩ := H
simp_rw [trace_eq_matrix_trace R b, LinearMap.toMatrix_mul]
apply Matrix.trace_mul_comm
else by rw [trace, dif_neg H, LinearMap.zero_apply, LinearMap.zero_apply]
#align linear_map.trace_mul_comm LinearMap.trace_mul_comm
lemma trace_mul_cycle (f g h : M →ₗ[R] M) :
trace R M (f * g * h) = trace R M (h * f * g) := by
rw [LinearMap.trace_mul_comm, ← mul_assoc]
lemma trace_mul_cycle' (f g h : M →ₗ[R] M) :
trace R M (f * (g * h)) = trace R M (h * (f * g)) := by
rw [← mul_assoc, LinearMap.trace_mul_comm]
@[simp]
theorem trace_conj (g : M →ₗ[R] M) (f : (M →ₗ[R] M)ˣ) :
trace R M (↑f * g * ↑f⁻¹) = trace R M g := by
rw [trace_mul_comm]
simp
#align linear_map.trace_conj LinearMap.trace_conj
@[simp]
lemma trace_lie {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M] (f g : Module.End R M) :
trace R M ⁅f, g⁆ = 0 := by
rw [Ring.lie_def, map_sub, trace_mul_comm]
exact sub_self _
end
section
variable {R : Type*} [CommRing R] {M : Type*} [AddCommGroup M] [Module R M]
variable (N P : Type*) [AddCommGroup N] [Module R N] [AddCommGroup P] [Module R P]
variable {ι : Type*}
theorem trace_eq_contract_of_basis [Finite ι] (b : Basis ι R M) :
LinearMap.trace R M ∘ₗ dualTensorHom R M M = contractLeft R M := by
classical
cases nonempty_fintype ι
apply Basis.ext (Basis.tensorProduct (Basis.dualBasis b) b)
rintro ⟨i, j⟩
simp only [Function.comp_apply, Basis.tensorProduct_apply, Basis.coe_dualBasis, coe_comp]
rw [trace_eq_matrix_trace R b, toMatrix_dualTensorHom]
by_cases hij : i = j
· rw [hij]
simp
rw [Matrix.StdBasisMatrix.trace_zero j i (1 : R) hij]
simp [Finsupp.single_eq_pi_single, hij]
#align linear_map.trace_eq_contract_of_basis LinearMap.trace_eq_contract_of_basis
theorem trace_eq_contract_of_basis' [Fintype ι] [DecidableEq ι] (b : Basis ι R M) :
LinearMap.trace R M = contractLeft R M ∘ₗ (dualTensorHomEquivOfBasis b).symm.toLinearMap := by
simp [LinearEquiv.eq_comp_toLinearMap_symm, trace_eq_contract_of_basis b]
#align linear_map.trace_eq_contract_of_basis' LinearMap.trace_eq_contract_of_basis'
variable (R M)
variable [Module.Free R M] [Module.Finite R M] [Module.Free R N] [Module.Finite R N]
[Module.Free R P] [Module.Finite R P]
@[simp]
theorem trace_eq_contract : LinearMap.trace R M ∘ₗ dualTensorHom R M M = contractLeft R M :=
trace_eq_contract_of_basis (Module.Free.chooseBasis R M)
#align linear_map.trace_eq_contract LinearMap.trace_eq_contract
@[simp]
theorem trace_eq_contract_apply (x : Module.Dual R M ⊗[R] M) :
(LinearMap.trace R M) ((dualTensorHom R M M) x) = contractLeft R M x := by
rw [← comp_apply, trace_eq_contract]
#align linear_map.trace_eq_contract_apply LinearMap.trace_eq_contract_apply
theorem trace_eq_contract' :
LinearMap.trace R M = contractLeft R M ∘ₗ (dualTensorHomEquiv R M M).symm.toLinearMap :=
trace_eq_contract_of_basis' (Module.Free.chooseBasis R M)
#align linear_map.trace_eq_contract' LinearMap.trace_eq_contract'
@[simp]
theorem trace_one : trace R M 1 = (finrank R M : R) := by
cases subsingleton_or_nontrivial R
· simp [eq_iff_true_of_subsingleton]
have b := Module.Free.chooseBasis R M
rw [trace_eq_matrix_trace R b, toMatrix_one, finrank_eq_card_chooseBasisIndex]
simp
#align linear_map.trace_one LinearMap.trace_one
@[simp]
theorem trace_id : trace R M id = (finrank R M : R) := by rw [← one_eq_id, trace_one]
#align linear_map.trace_id LinearMap.trace_id
@[simp]
theorem trace_transpose : trace R (Module.Dual R M) ∘ₗ Module.Dual.transpose = trace R M := by
let e := dualTensorHomEquiv R M M
have h : Function.Surjective e.toLinearMap := e.surjective
refine (cancel_right h).1 ?_
ext f m; simp [e]
#align linear_map.trace_transpose LinearMap.trace_transpose
theorem trace_prodMap :
trace R (M × N) ∘ₗ prodMapLinear R M N M N R =
(coprod id id : R × R →ₗ[R] R) ∘ₗ prodMap (trace R M) (trace R N) := by
let e := (dualTensorHomEquiv R M M).prod (dualTensorHomEquiv R N N)
have h : Function.Surjective e.toLinearMap := e.surjective
refine (cancel_right h).1 ?_
ext
· simp only [e, dualTensorHomEquiv, LinearEquiv.coe_prod, dualTensorHomEquivOfBasis_toLinearMap,
AlgebraTensorModule.curry_apply, curry_apply, coe_restrictScalars, coe_comp, coe_inl,
Function.comp_apply, prodMap_apply, map_zero, prodMapLinear_apply, dualTensorHom_prodMap_zero,
trace_eq_contract_apply, contractLeft_apply, fst_apply, coprod_apply, id_coe, id_eq, add_zero]
· simp only [e, dualTensorHomEquiv, LinearEquiv.coe_prod, dualTensorHomEquivOfBasis_toLinearMap,
AlgebraTensorModule.curry_apply, curry_apply, coe_restrictScalars, coe_comp, coe_inr,
Function.comp_apply, prodMap_apply, map_zero, prodMapLinear_apply, zero_prodMap_dualTensorHom,
trace_eq_contract_apply, contractLeft_apply, snd_apply, coprod_apply, id_coe, id_eq, zero_add]
#align linear_map.trace_prod_map LinearMap.trace_prodMap
variable {R M N P}
theorem trace_prodMap' (f : M →ₗ[R] M) (g : N →ₗ[R] N) :
trace R (M × N) (prodMap f g) = trace R M f + trace R N g := by
have h := ext_iff.1 (trace_prodMap R M N) (f, g)
simp only [coe_comp, Function.comp_apply, prodMap_apply, coprod_apply, id_coe, id,
prodMapLinear_apply] at h
exact h
#align linear_map.trace_prod_map' LinearMap.trace_prodMap'
variable (R M N P)
open TensorProduct Function
theorem trace_tensorProduct : compr₂ (mapBilinear R M N M N) (trace R (M ⊗ N)) =
compl₁₂ (lsmul R R : R →ₗ[R] R →ₗ[R] R) (trace R M) (trace R N) := by
apply
(compl₁₂_inj (show Surjective (dualTensorHom R M M) from (dualTensorHomEquiv R M M).surjective)
(show Surjective (dualTensorHom R N N) from (dualTensorHomEquiv R N N).surjective)).1
ext f m g n
simp only [AlgebraTensorModule.curry_apply, toFun_eq_coe, TensorProduct.curry_apply,
coe_restrictScalars, compl₁₂_apply, compr₂_apply, mapBilinear_apply,
trace_eq_contract_apply, contractLeft_apply, lsmul_apply, Algebra.id.smul_eq_mul,
map_dualTensorHom, dualDistrib_apply]
#align linear_map.trace_tensor_product LinearMap.trace_tensorProduct
| Mathlib/LinearAlgebra/Trace.lean | 250 | 259 | theorem trace_comp_comm :
compr₂ (llcomp R M N M) (trace R M) = compr₂ (llcomp R N M N).flip (trace R N) := by |
apply
(compl₁₂_inj (show Surjective (dualTensorHom R N M) from (dualTensorHomEquiv R N M).surjective)
(show Surjective (dualTensorHom R M N) from (dualTensorHomEquiv R M N).surjective)).1
ext g m f n
simp only [AlgebraTensorModule.curry_apply, TensorProduct.curry_apply,
coe_restrictScalars, compl₁₂_apply, compr₂_apply, flip_apply, llcomp_apply',
comp_dualTensorHom, LinearMapClass.map_smul, trace_eq_contract_apply,
contractLeft_apply, smul_eq_mul, mul_comm]
|
import Mathlib.Order.Filter.SmallSets
import Mathlib.Tactic.Monotonicity
import Mathlib.Topology.Compactness.Compact
import Mathlib.Topology.NhdsSet
import Mathlib.Algebra.Group.Defs
#align_import topology.uniform_space.basic from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c"
open Set Filter Topology
universe u v ua ub uc ud
variable {α : Type ua} {β : Type ub} {γ : Type uc} {δ : Type ud} {ι : Sort*}
def idRel {α : Type*} :=
{ p : α × α | p.1 = p.2 }
#align id_rel idRel
@[simp]
theorem mem_idRel {a b : α} : (a, b) ∈ @idRel α ↔ a = b :=
Iff.rfl
#align mem_id_rel mem_idRel
@[simp]
theorem idRel_subset {s : Set (α × α)} : idRel ⊆ s ↔ ∀ a, (a, a) ∈ s := by
simp [subset_def]
#align id_rel_subset idRel_subset
def compRel (r₁ r₂ : Set (α × α)) :=
{ p : α × α | ∃ z : α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂ }
#align comp_rel compRel
@[inherit_doc]
scoped[Uniformity] infixl:62 " ○ " => compRel
open Uniformity
@[simp]
theorem mem_compRel {α : Type u} {r₁ r₂ : Set (α × α)} {x y : α} :
(x, y) ∈ r₁ ○ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ :=
Iff.rfl
#align mem_comp_rel mem_compRel
@[simp]
theorem swap_idRel : Prod.swap '' idRel = @idRel α :=
Set.ext fun ⟨a, b⟩ => by simpa [image_swap_eq_preimage_swap] using eq_comm
#align swap_id_rel swap_idRel
theorem Monotone.compRel [Preorder β] {f g : β → Set (α × α)} (hf : Monotone f) (hg : Monotone g) :
Monotone fun x => f x ○ g x := fun _ _ h _ ⟨z, h₁, h₂⟩ => ⟨z, hf h h₁, hg h h₂⟩
#align monotone.comp_rel Monotone.compRel
@[mono]
theorem compRel_mono {f g h k : Set (α × α)} (h₁ : f ⊆ h) (h₂ : g ⊆ k) : f ○ g ⊆ h ○ k :=
fun _ ⟨z, h, h'⟩ => ⟨z, h₁ h, h₂ h'⟩
#align comp_rel_mono compRel_mono
theorem prod_mk_mem_compRel {a b c : α} {s t : Set (α × α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) :
(a, b) ∈ s ○ t :=
⟨c, h₁, h₂⟩
#align prod_mk_mem_comp_rel prod_mk_mem_compRel
@[simp]
theorem id_compRel {r : Set (α × α)} : idRel ○ r = r :=
Set.ext fun ⟨a, b⟩ => by simp
#align id_comp_rel id_compRel
theorem compRel_assoc {r s t : Set (α × α)} : r ○ s ○ t = r ○ (s ○ t) := by
ext ⟨a, b⟩; simp only [mem_compRel]; tauto
#align comp_rel_assoc compRel_assoc
theorem left_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ t) : s ⊆ s ○ t := fun ⟨_x, y⟩ xy_in =>
⟨y, xy_in, h <| rfl⟩
#align left_subset_comp_rel left_subset_compRel
theorem right_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ s) : t ⊆ s ○ t := fun ⟨x, _y⟩ xy_in =>
⟨x, h <| rfl, xy_in⟩
#align right_subset_comp_rel right_subset_compRel
theorem subset_comp_self {s : Set (α × α)} (h : idRel ⊆ s) : s ⊆ s ○ s :=
left_subset_compRel h
#align subset_comp_self subset_comp_self
theorem subset_iterate_compRel {s t : Set (α × α)} (h : idRel ⊆ s) (n : ℕ) :
t ⊆ (s ○ ·)^[n] t := by
induction' n with n ihn generalizing t
exacts [Subset.rfl, (right_subset_compRel h).trans ihn]
#align subset_iterate_comp_rel subset_iterate_compRel
def SymmetricRel (V : Set (α × α)) : Prop :=
Prod.swap ⁻¹' V = V
#align symmetric_rel SymmetricRel
def symmetrizeRel (V : Set (α × α)) : Set (α × α) :=
V ∩ Prod.swap ⁻¹' V
#align symmetrize_rel symmetrizeRel
theorem symmetric_symmetrizeRel (V : Set (α × α)) : SymmetricRel (symmetrizeRel V) := by
simp [SymmetricRel, symmetrizeRel, preimage_inter, inter_comm, ← preimage_comp]
#align symmetric_symmetrize_rel symmetric_symmetrizeRel
theorem symmetrizeRel_subset_self (V : Set (α × α)) : symmetrizeRel V ⊆ V :=
sep_subset _ _
#align symmetrize_rel_subset_self symmetrizeRel_subset_self
@[mono]
theorem symmetrize_mono {V W : Set (α × α)} (h : V ⊆ W) : symmetrizeRel V ⊆ symmetrizeRel W :=
inter_subset_inter h <| preimage_mono h
#align symmetrize_mono symmetrize_mono
theorem SymmetricRel.mk_mem_comm {V : Set (α × α)} (hV : SymmetricRel V) {x y : α} :
(x, y) ∈ V ↔ (y, x) ∈ V :=
Set.ext_iff.1 hV (y, x)
#align symmetric_rel.mk_mem_comm SymmetricRel.mk_mem_comm
theorem SymmetricRel.eq {U : Set (α × α)} (hU : SymmetricRel U) : Prod.swap ⁻¹' U = U :=
hU
#align symmetric_rel.eq SymmetricRel.eq
theorem SymmetricRel.inter {U V : Set (α × α)} (hU : SymmetricRel U) (hV : SymmetricRel V) :
SymmetricRel (U ∩ V) := by rw [SymmetricRel, preimage_inter, hU.eq, hV.eq]
#align symmetric_rel.inter SymmetricRel.inter
structure UniformSpace.Core (α : Type u) where
uniformity : Filter (α × α)
refl : 𝓟 idRel ≤ uniformity
symm : Tendsto Prod.swap uniformity uniformity
comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
#align uniform_space.core UniformSpace.Core
protected theorem UniformSpace.Core.comp_mem_uniformity_sets {c : Core α} {s : Set (α × α)}
(hs : s ∈ c.uniformity) : ∃ t ∈ c.uniformity, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| c.comp hs
def UniformSpace.Core.mk' {α : Type u} (U : Filter (α × α)) (refl : ∀ r ∈ U, ∀ (x), (x, x) ∈ r)
(symm : ∀ r ∈ U, Prod.swap ⁻¹' r ∈ U) (comp : ∀ r ∈ U, ∃ t ∈ U, t ○ t ⊆ r) :
UniformSpace.Core α :=
⟨U, fun _r ru => idRel_subset.2 (refl _ ru), symm, fun _r ru =>
let ⟨_s, hs, hsr⟩ := comp _ ru
mem_of_superset (mem_lift' hs) hsr⟩
#align uniform_space.core.mk' UniformSpace.Core.mk'
def UniformSpace.Core.mkOfBasis {α : Type u} (B : FilterBasis (α × α))
(refl : ∀ r ∈ B, ∀ (x), (x, x) ∈ r) (symm : ∀ r ∈ B, ∃ t ∈ B, t ⊆ Prod.swap ⁻¹' r)
(comp : ∀ r ∈ B, ∃ t ∈ B, t ○ t ⊆ r) : UniformSpace.Core α where
uniformity := B.filter
refl := B.hasBasis.ge_iff.mpr fun _r ru => idRel_subset.2 <| refl _ ru
symm := (B.hasBasis.tendsto_iff B.hasBasis).mpr symm
comp := (HasBasis.le_basis_iff (B.hasBasis.lift' (monotone_id.compRel monotone_id))
B.hasBasis).2 comp
#align uniform_space.core.mk_of_basis UniformSpace.Core.mkOfBasis
def UniformSpace.Core.toTopologicalSpace {α : Type u} (u : UniformSpace.Core α) :
TopologicalSpace α :=
.mkOfNhds fun x ↦ .comap (Prod.mk x) u.uniformity
#align uniform_space.core.to_topological_space UniformSpace.Core.toTopologicalSpace
theorem UniformSpace.Core.ext :
∀ {u₁ u₂ : UniformSpace.Core α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align uniform_space.core_eq UniformSpace.Core.ext
theorem UniformSpace.Core.nhds_toTopologicalSpace {α : Type u} (u : Core α) (x : α) :
@nhds α u.toTopologicalSpace x = comap (Prod.mk x) u.uniformity := by
apply TopologicalSpace.nhds_mkOfNhds_of_hasBasis (fun _ ↦ (basis_sets _).comap _)
· exact fun a U hU ↦ u.refl hU rfl
· intro a U hU
rcases u.comp_mem_uniformity_sets hU with ⟨V, hV, hVU⟩
filter_upwards [preimage_mem_comap hV] with b hb
filter_upwards [preimage_mem_comap hV] with c hc
exact hVU ⟨b, hb, hc⟩
-- the topological structure is embedded in the uniform structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
class UniformSpace (α : Type u) extends TopologicalSpace α where
protected uniformity : Filter (α × α)
protected symm : Tendsto Prod.swap uniformity uniformity
protected comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
protected nhds_eq_comap_uniformity (x : α) : 𝓝 x = comap (Prod.mk x) uniformity
#align uniform_space UniformSpace
#noalign uniform_space.mk' -- Can't be a `match_pattern`, so not useful anymore
def uniformity (α : Type u) [UniformSpace α] : Filter (α × α) :=
@UniformSpace.uniformity α _
#align uniformity uniformity
scoped[Uniformity] notation "𝓤[" u "]" => @uniformity _ u
@[inherit_doc] -- Porting note (#11215): TODO: should we drop the `uniformity` def?
scoped[Uniformity] notation "𝓤" => uniformity
abbrev UniformSpace.ofCoreEq {α : Type u} (u : UniformSpace.Core α) (t : TopologicalSpace α)
(h : t = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := t
nhds_eq_comap_uniformity x := by rw [h, u.nhds_toTopologicalSpace]
#align uniform_space.of_core_eq UniformSpace.ofCoreEq
abbrev UniformSpace.ofCore {α : Type u} (u : UniformSpace.Core α) : UniformSpace α :=
.ofCoreEq u _ rfl
#align uniform_space.of_core UniformSpace.ofCore
abbrev UniformSpace.toCore (u : UniformSpace α) : UniformSpace.Core α where
__ := u
refl := by
rintro U hU ⟨x, y⟩ (rfl : x = y)
have : Prod.mk x ⁻¹' U ∈ 𝓝 x := by
rw [UniformSpace.nhds_eq_comap_uniformity]
exact preimage_mem_comap hU
convert mem_of_mem_nhds this
theorem UniformSpace.toCore_toTopologicalSpace (u : UniformSpace α) :
u.toCore.toTopologicalSpace = u.toTopologicalSpace :=
TopologicalSpace.ext_nhds fun a ↦ by
rw [u.nhds_eq_comap_uniformity, u.toCore.nhds_toTopologicalSpace]
#align uniform_space.to_core_to_topological_space UniformSpace.toCore_toTopologicalSpace
@[deprecated UniformSpace.mk (since := "2024-03-20")]
def UniformSpace.ofNhdsEqComap (u : UniformSpace.Core α) (_t : TopologicalSpace α)
(h : ∀ x, 𝓝 x = u.uniformity.comap (Prod.mk x)) : UniformSpace α where
__ := u
nhds_eq_comap_uniformity := h
@[ext]
protected theorem UniformSpace.ext {u₁ u₂ : UniformSpace α} (h : 𝓤[u₁] = 𝓤[u₂]) : u₁ = u₂ := by
have : u₁.toTopologicalSpace = u₂.toTopologicalSpace := TopologicalSpace.ext_nhds fun x ↦ by
rw [u₁.nhds_eq_comap_uniformity, u₂.nhds_eq_comap_uniformity]
exact congr_arg (comap _) h
cases u₁; cases u₂; congr
#align uniform_space_eq UniformSpace.ext
protected theorem UniformSpace.ext_iff {u₁ u₂ : UniformSpace α} :
u₁ = u₂ ↔ ∀ s, s ∈ 𝓤[u₁] ↔ s ∈ 𝓤[u₂] :=
⟨fun h _ => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
theorem UniformSpace.ofCoreEq_toCore (u : UniformSpace α) (t : TopologicalSpace α)
(h : t = u.toCore.toTopologicalSpace) : .ofCoreEq u.toCore t h = u :=
UniformSpace.ext rfl
#align uniform_space.of_core_eq_to_core UniformSpace.ofCoreEq_toCore
abbrev UniformSpace.replaceTopology {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := i
nhds_eq_comap_uniformity x := by rw [h, u.nhds_eq_comap_uniformity]
#align uniform_space.replace_topology UniformSpace.replaceTopology
theorem UniformSpace.replaceTopology_eq {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : u.replaceTopology h = u :=
UniformSpace.ext rfl
#align uniform_space.replace_topology_eq UniformSpace.replaceTopology_eq
-- Porting note: rfc: use `UniformSpace.Core.mkOfBasis`? This will change defeq here and there
def UniformSpace.ofFun {α : Type u} {β : Type v} [OrderedAddCommMonoid β]
(d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
UniformSpace α :=
.ofCore
{ uniformity := ⨅ r > 0, 𝓟 { x | d x.1 x.2 < r }
refl := le_iInf₂ fun r hr => principal_mono.2 <| idRel_subset.2 fun x => by simpa [refl]
symm := tendsto_iInf_iInf fun r => tendsto_iInf_iInf fun _ => tendsto_principal_principal.2
fun x hx => by rwa [mem_setOf, symm]
comp := le_iInf₂ fun r hr => let ⟨δ, h0, hδr⟩ := half r hr; le_principal_iff.2 <|
mem_of_superset
(mem_lift' <| mem_iInf_of_mem δ <| mem_iInf_of_mem h0 <| mem_principal_self _)
fun (x, z) ⟨y, h₁, h₂⟩ => (triangle _ _ _).trans_lt (hδr _ h₁ _ h₂) }
#align uniform_space.of_fun UniformSpace.ofFun
theorem UniformSpace.hasBasis_ofFun {α : Type u} {β : Type v} [LinearOrderedAddCommMonoid β]
(h₀ : ∃ x : β, 0 < x) (d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
𝓤[.ofFun d refl symm triangle half].HasBasis ((0 : β) < ·) (fun ε => { x | d x.1 x.2 < ε }) :=
hasBasis_biInf_principal'
(fun ε₁ h₁ ε₂ h₂ => ⟨min ε₁ ε₂, lt_min h₁ h₂, fun _x hx => lt_of_lt_of_le hx (min_le_left _ _),
fun _x hx => lt_of_lt_of_le hx (min_le_right _ _)⟩) h₀
#align uniform_space.has_basis_of_fun UniformSpace.hasBasis_ofFun
section UniformSpace
variable [UniformSpace α]
theorem nhds_eq_comap_uniformity {x : α} : 𝓝 x = (𝓤 α).comap (Prod.mk x) :=
UniformSpace.nhds_eq_comap_uniformity x
#align nhds_eq_comap_uniformity nhds_eq_comap_uniformity
theorem isOpen_uniformity {s : Set α} :
IsOpen s ↔ ∀ x ∈ s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align is_open_uniformity isOpen_uniformity
theorem refl_le_uniformity : 𝓟 idRel ≤ 𝓤 α :=
(@UniformSpace.toCore α _).refl
#align refl_le_uniformity refl_le_uniformity
instance uniformity.neBot [Nonempty α] : NeBot (𝓤 α) :=
diagonal_nonempty.principal_neBot.mono refl_le_uniformity
#align uniformity.ne_bot uniformity.neBot
theorem refl_mem_uniformity {x : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) : (x, x) ∈ s :=
refl_le_uniformity h rfl
#align refl_mem_uniformity refl_mem_uniformity
theorem mem_uniformity_of_eq {x y : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) (hx : x = y) : (x, y) ∈ s :=
refl_le_uniformity h hx
#align mem_uniformity_of_eq mem_uniformity_of_eq
theorem symm_le_uniformity : map (@Prod.swap α α) (𝓤 _) ≤ 𝓤 _ :=
UniformSpace.symm
#align symm_le_uniformity symm_le_uniformity
theorem comp_le_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) ≤ 𝓤 α :=
UniformSpace.comp
#align comp_le_uniformity comp_le_uniformity
theorem lift'_comp_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) = 𝓤 α :=
comp_le_uniformity.antisymm <| le_lift'.2 fun _s hs ↦ mem_of_superset hs <|
subset_comp_self <| idRel_subset.2 fun _ ↦ refl_mem_uniformity hs
theorem tendsto_swap_uniformity : Tendsto (@Prod.swap α α) (𝓤 α) (𝓤 α) :=
symm_le_uniformity
#align tendsto_swap_uniformity tendsto_swap_uniformity
theorem comp_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| comp_le_uniformity hs
#align comp_mem_uniformity_sets comp_mem_uniformity_sets
theorem eventually_uniformity_iterate_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) (n : ℕ) :
∀ᶠ t in (𝓤 α).smallSets, (t ○ ·)^[n] t ⊆ s := by
suffices ∀ᶠ t in (𝓤 α).smallSets, t ⊆ s ∧ (t ○ ·)^[n] t ⊆ s from (eventually_and.1 this).2
induction' n with n ihn generalizing s
· simpa
rcases comp_mem_uniformity_sets hs with ⟨t, htU, hts⟩
refine (ihn htU).mono fun U hU => ?_
rw [Function.iterate_succ_apply']
exact
⟨hU.1.trans <| (subset_comp_self <| refl_le_uniformity htU).trans hts,
(compRel_mono hU.1 hU.2).trans hts⟩
#align eventually_uniformity_iterate_comp_subset eventually_uniformity_iterate_comp_subset
theorem eventually_uniformity_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∀ᶠ t in (𝓤 α).smallSets, t ○ t ⊆ s :=
eventually_uniformity_iterate_comp_subset hs 1
#align eventually_uniformity_comp_subset eventually_uniformity_comp_subset
theorem Filter.Tendsto.uniformity_trans {l : Filter β} {f₁ f₂ f₃ : β → α}
(h₁₂ : Tendsto (fun x => (f₁ x, f₂ x)) l (𝓤 α))
(h₂₃ : Tendsto (fun x => (f₂ x, f₃ x)) l (𝓤 α)) : Tendsto (fun x => (f₁ x, f₃ x)) l (𝓤 α) := by
refine le_trans (le_lift'.2 fun s hs => mem_map.2 ?_) comp_le_uniformity
filter_upwards [mem_map.1 (h₁₂ hs), mem_map.1 (h₂₃ hs)] with x hx₁₂ hx₂₃ using ⟨_, hx₁₂, hx₂₃⟩
#align filter.tendsto.uniformity_trans Filter.Tendsto.uniformity_trans
theorem Filter.Tendsto.uniformity_symm {l : Filter β} {f : β → α × α} (h : Tendsto f l (𝓤 α)) :
Tendsto (fun x => ((f x).2, (f x).1)) l (𝓤 α) :=
tendsto_swap_uniformity.comp h
#align filter.tendsto.uniformity_symm Filter.Tendsto.uniformity_symm
theorem tendsto_diag_uniformity (f : β → α) (l : Filter β) :
Tendsto (fun x => (f x, f x)) l (𝓤 α) := fun _s hs =>
mem_map.2 <| univ_mem' fun _ => refl_mem_uniformity hs
#align tendsto_diag_uniformity tendsto_diag_uniformity
theorem tendsto_const_uniformity {a : α} {f : Filter β} : Tendsto (fun _ => (a, a)) f (𝓤 α) :=
tendsto_diag_uniformity (fun _ => a) f
#align tendsto_const_uniformity tendsto_const_uniformity
theorem symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ a b, (a, b) ∈ t → (b, a) ∈ t) ∧ t ⊆ s :=
have : preimage Prod.swap s ∈ 𝓤 α := symm_le_uniformity hs
⟨s ∩ preimage Prod.swap s, inter_mem hs this, fun _ _ ⟨h₁, h₂⟩ => ⟨h₂, h₁⟩, inter_subset_left⟩
#align symm_of_uniformity symm_of_uniformity
theorem comp_symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ {a b}, (a, b) ∈ t → (b, a) ∈ t) ∧ t ○ t ⊆ s :=
let ⟨_t, ht₁, ht₂⟩ := comp_mem_uniformity_sets hs
let ⟨t', ht', ht'₁, ht'₂⟩ := symm_of_uniformity ht₁
⟨t', ht', ht'₁ _ _, Subset.trans (monotone_id.compRel monotone_id ht'₂) ht₂⟩
#align comp_symm_of_uniformity comp_symm_of_uniformity
theorem uniformity_le_symm : 𝓤 α ≤ @Prod.swap α α <$> 𝓤 α := by
rw [map_swap_eq_comap_swap]; exact tendsto_swap_uniformity.le_comap
#align uniformity_le_symm uniformity_le_symm
theorem uniformity_eq_symm : 𝓤 α = @Prod.swap α α <$> 𝓤 α :=
le_antisymm uniformity_le_symm symm_le_uniformity
#align uniformity_eq_symm uniformity_eq_symm
@[simp]
theorem comap_swap_uniformity : comap (@Prod.swap α α) (𝓤 α) = 𝓤 α :=
(congr_arg _ uniformity_eq_symm).trans <| comap_map Prod.swap_injective
#align comap_swap_uniformity comap_swap_uniformity
theorem symmetrize_mem_uniformity {V : Set (α × α)} (h : V ∈ 𝓤 α) : symmetrizeRel V ∈ 𝓤 α := by
apply (𝓤 α).inter_sets h
rw [← image_swap_eq_preimage_swap, uniformity_eq_symm]
exact image_mem_map h
#align symmetrize_mem_uniformity symmetrize_mem_uniformity
theorem UniformSpace.hasBasis_symmetric :
(𝓤 α).HasBasis (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) id :=
hasBasis_self.2 fun t t_in =>
⟨symmetrizeRel t, symmetrize_mem_uniformity t_in, symmetric_symmetrizeRel t,
symmetrizeRel_subset_self t⟩
#align uniform_space.has_basis_symmetric UniformSpace.hasBasis_symmetric
theorem uniformity_lift_le_swap {g : Set (α × α) → Filter β} {f : Filter β} (hg : Monotone g)
(h : ((𝓤 α).lift fun s => g (preimage Prod.swap s)) ≤ f) : (𝓤 α).lift g ≤ f :=
calc
(𝓤 α).lift g ≤ (Filter.map (@Prod.swap α α) <| 𝓤 α).lift g :=
lift_mono uniformity_le_symm le_rfl
_ ≤ _ := by rw [map_lift_eq2 hg, image_swap_eq_preimage_swap]; exact h
#align uniformity_lift_le_swap uniformity_lift_le_swap
theorem uniformity_lift_le_comp {f : Set (α × α) → Filter β} (h : Monotone f) :
((𝓤 α).lift fun s => f (s ○ s)) ≤ (𝓤 α).lift f :=
calc
((𝓤 α).lift fun s => f (s ○ s)) = ((𝓤 α).lift' fun s : Set (α × α) => s ○ s).lift f := by
rw [lift_lift'_assoc]
· exact monotone_id.compRel monotone_id
· exact h
_ ≤ (𝓤 α).lift f := lift_mono comp_le_uniformity le_rfl
#align uniformity_lift_le_comp uniformity_lift_le_comp
-- Porting note (#10756): new lemma
theorem comp3_mem_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ (t ○ t) ⊆ s :=
let ⟨_t', ht', ht's⟩ := comp_mem_uniformity_sets hs
let ⟨t, ht, htt'⟩ := comp_mem_uniformity_sets ht'
⟨t, ht, (compRel_mono ((subset_comp_self (refl_le_uniformity ht)).trans htt') htt').trans ht's⟩
theorem comp_le_uniformity3 : ((𝓤 α).lift' fun s : Set (α × α) => s ○ (s ○ s)) ≤ 𝓤 α := fun _ h =>
let ⟨_t, htU, ht⟩ := comp3_mem_uniformity h
mem_of_superset (mem_lift' htU) ht
#align comp_le_uniformity3 comp_le_uniformity3
theorem comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ⊆ s := by
obtain ⟨w, w_in, w_sub⟩ : ∃ w ∈ 𝓤 α, w ○ w ⊆ s := comp_mem_uniformity_sets hs
use symmetrizeRel w, symmetrize_mem_uniformity w_in, symmetric_symmetrizeRel w
have : symmetrizeRel w ⊆ w := symmetrizeRel_subset_self w
calc symmetrizeRel w ○ symmetrizeRel w
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_symm_mem_uniformity_sets comp_symm_mem_uniformity_sets
theorem subset_comp_self_of_mem_uniformity {s : Set (α × α)} (h : s ∈ 𝓤 α) : s ⊆ s ○ s :=
subset_comp_self (refl_le_uniformity h)
#align subset_comp_self_of_mem_uniformity subset_comp_self_of_mem_uniformity
theorem comp_comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ○ t ⊆ s := by
rcases comp_symm_mem_uniformity_sets hs with ⟨w, w_in, _, w_sub⟩
rcases comp_symm_mem_uniformity_sets w_in with ⟨t, t_in, t_symm, t_sub⟩
use t, t_in, t_symm
have : t ⊆ t ○ t := subset_comp_self_of_mem_uniformity t_in
-- Porting note: Needed the following `have`s to make `mono` work
have ht := Subset.refl t
have hw := Subset.refl w
calc
t ○ t ○ t ⊆ w ○ t := by mono
_ ⊆ w ○ (t ○ t) := by mono
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_comp_symm_mem_uniformity_sets comp_comp_symm_mem_uniformity_sets
def UniformSpace.ball (x : β) (V : Set (β × β)) : Set β :=
Prod.mk x ⁻¹' V
#align uniform_space.ball UniformSpace.ball
open UniformSpace (ball)
theorem UniformSpace.mem_ball_self (x : α) {V : Set (α × α)} (hV : V ∈ 𝓤 α) : x ∈ ball x V :=
refl_mem_uniformity hV
#align uniform_space.mem_ball_self UniformSpace.mem_ball_self
theorem mem_ball_comp {V W : Set (β × β)} {x y z} (h : y ∈ ball x V) (h' : z ∈ ball y W) :
z ∈ ball x (V ○ W) :=
prod_mk_mem_compRel h h'
#align mem_ball_comp mem_ball_comp
theorem ball_subset_of_comp_subset {V W : Set (β × β)} {x y} (h : x ∈ ball y W) (h' : W ○ W ⊆ V) :
ball x W ⊆ ball y V := fun _z z_in => h' (mem_ball_comp h z_in)
#align ball_subset_of_comp_subset ball_subset_of_comp_subset
theorem ball_mono {V W : Set (β × β)} (h : V ⊆ W) (x : β) : ball x V ⊆ ball x W :=
preimage_mono h
#align ball_mono ball_mono
theorem ball_inter (x : β) (V W : Set (β × β)) : ball x (V ∩ W) = ball x V ∩ ball x W :=
preimage_inter
#align ball_inter ball_inter
theorem ball_inter_left (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x V :=
ball_mono inter_subset_left x
#align ball_inter_left ball_inter_left
theorem ball_inter_right (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x W :=
ball_mono inter_subset_right x
#align ball_inter_right ball_inter_right
theorem mem_ball_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x y} :
x ∈ ball y V ↔ y ∈ ball x V :=
show (x, y) ∈ Prod.swap ⁻¹' V ↔ (x, y) ∈ V by
unfold SymmetricRel at hV
rw [hV]
#align mem_ball_symmetry mem_ball_symmetry
theorem ball_eq_of_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x} :
ball x V = { y | (y, x) ∈ V } := by
ext y
rw [mem_ball_symmetry hV]
exact Iff.rfl
#align ball_eq_of_symmetry ball_eq_of_symmetry
theorem mem_comp_of_mem_ball {V W : Set (β × β)} {x y z : β} (hV : SymmetricRel V)
(hx : x ∈ ball z V) (hy : y ∈ ball z W) : (x, y) ∈ V ○ W := by
rw [mem_ball_symmetry hV] at hx
exact ⟨z, hx, hy⟩
#align mem_comp_of_mem_ball mem_comp_of_mem_ball
theorem UniformSpace.isOpen_ball (x : α) {V : Set (α × α)} (hV : IsOpen V) : IsOpen (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
#align uniform_space.is_open_ball UniformSpace.isOpen_ball
theorem UniformSpace.isClosed_ball (x : α) {V : Set (α × α)} (hV : IsClosed V) :
IsClosed (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
theorem mem_comp_comp {V W M : Set (β × β)} (hW' : SymmetricRel W) {p : β × β} :
p ∈ V ○ M ○ W ↔ (ball p.1 V ×ˢ ball p.2 W ∩ M).Nonempty := by
cases' p with x y
constructor
· rintro ⟨z, ⟨w, hpw, hwz⟩, hzy⟩
exact ⟨(w, z), ⟨hpw, by rwa [mem_ball_symmetry hW']⟩, hwz⟩
· rintro ⟨⟨w, z⟩, ⟨w_in, z_in⟩, hwz⟩
rw [mem_ball_symmetry hW'] at z_in
exact ⟨z, ⟨w, w_in, hwz⟩, z_in⟩
#align mem_comp_comp mem_comp_comp
theorem mem_nhds_uniformity_iff_right {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align mem_nhds_uniformity_iff_right mem_nhds_uniformity_iff_right
theorem mem_nhds_uniformity_iff_left {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.2 = x → p.1 ∈ s } ∈ 𝓤 α := by
rw [uniformity_eq_symm, mem_nhds_uniformity_iff_right]
simp only [map_def, mem_map, preimage_setOf_eq, Prod.snd_swap, Prod.fst_swap]
#align mem_nhds_uniformity_iff_left mem_nhds_uniformity_iff_left
theorem nhdsWithin_eq_comap_uniformity_of_mem {x : α} {T : Set α} (hx : x ∈ T) (S : Set α) :
𝓝[S] x = (𝓤 α ⊓ 𝓟 (T ×ˢ S)).comap (Prod.mk x) := by
simp [nhdsWithin, nhds_eq_comap_uniformity, hx]
theorem nhdsWithin_eq_comap_uniformity {x : α} (S : Set α) :
𝓝[S] x = (𝓤 α ⊓ 𝓟 (univ ×ˢ S)).comap (Prod.mk x) :=
nhdsWithin_eq_comap_uniformity_of_mem (mem_univ _) S
theorem isOpen_iff_ball_subset {s : Set α} : IsOpen s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 α, ball x V ⊆ s := by
simp_rw [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap, ball]
#align is_open_iff_ball_subset isOpen_iff_ball_subset
theorem nhds_basis_uniformity' {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s)
{x : α} : (𝓝 x).HasBasis p fun i => ball x (s i) := by
rw [nhds_eq_comap_uniformity]
exact h.comap (Prod.mk x)
#align nhds_basis_uniformity' nhds_basis_uniformity'
theorem nhds_basis_uniformity {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s)
{x : α} : (𝓝 x).HasBasis p fun i => { y | (y, x) ∈ s i } := by
replace h := h.comap Prod.swap
rw [comap_swap_uniformity] at h
exact nhds_basis_uniformity' h
#align nhds_basis_uniformity nhds_basis_uniformity
theorem nhds_eq_comap_uniformity' {x : α} : 𝓝 x = (𝓤 α).comap fun y => (y, x) :=
(nhds_basis_uniformity (𝓤 α).basis_sets).eq_of_same_basis <| (𝓤 α).basis_sets.comap _
#align nhds_eq_comap_uniformity' nhds_eq_comap_uniformity'
theorem UniformSpace.mem_nhds_iff {x : α} {s : Set α} : s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, ball x V ⊆ s := by
rw [nhds_eq_comap_uniformity, mem_comap]
simp_rw [ball]
#align uniform_space.mem_nhds_iff UniformSpace.mem_nhds_iff
theorem UniformSpace.ball_mem_nhds (x : α) ⦃V : Set (α × α)⦄ (V_in : V ∈ 𝓤 α) : ball x V ∈ 𝓝 x := by
rw [UniformSpace.mem_nhds_iff]
exact ⟨V, V_in, Subset.rfl⟩
#align uniform_space.ball_mem_nhds UniformSpace.ball_mem_nhds
theorem UniformSpace.ball_mem_nhdsWithin {x : α} {S : Set α} ⦃V : Set (α × α)⦄ (x_in : x ∈ S)
(V_in : V ∈ 𝓤 α ⊓ 𝓟 (S ×ˢ S)) : ball x V ∈ 𝓝[S] x := by
rw [nhdsWithin_eq_comap_uniformity_of_mem x_in, mem_comap]
exact ⟨V, V_in, Subset.rfl⟩
theorem UniformSpace.mem_nhds_iff_symm {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, SymmetricRel V ∧ ball x V ⊆ s := by
rw [UniformSpace.mem_nhds_iff]
constructor
· rintro ⟨V, V_in, V_sub⟩
use symmetrizeRel V, symmetrize_mem_uniformity V_in, symmetric_symmetrizeRel V
exact Subset.trans (ball_mono (symmetrizeRel_subset_self V) x) V_sub
· rintro ⟨V, V_in, _, V_sub⟩
exact ⟨V, V_in, V_sub⟩
#align uniform_space.mem_nhds_iff_symm UniformSpace.mem_nhds_iff_symm
theorem UniformSpace.hasBasis_nhds (x : α) :
HasBasis (𝓝 x) (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) fun s => ball x s :=
⟨fun t => by simp [UniformSpace.mem_nhds_iff_symm, and_assoc]⟩
#align uniform_space.has_basis_nhds UniformSpace.hasBasis_nhds
open UniformSpace
theorem UniformSpace.mem_closure_iff_symm_ball {s : Set α} {x} :
x ∈ closure s ↔ ∀ {V}, V ∈ 𝓤 α → SymmetricRel V → (s ∩ ball x V).Nonempty := by
simp [mem_closure_iff_nhds_basis (hasBasis_nhds x), Set.Nonempty]
#align uniform_space.mem_closure_iff_symm_ball UniformSpace.mem_closure_iff_symm_ball
theorem UniformSpace.mem_closure_iff_ball {s : Set α} {x} :
x ∈ closure s ↔ ∀ {V}, V ∈ 𝓤 α → (ball x V ∩ s).Nonempty := by
simp [mem_closure_iff_nhds_basis' (nhds_basis_uniformity' (𝓤 α).basis_sets)]
#align uniform_space.mem_closure_iff_ball UniformSpace.mem_closure_iff_ball
theorem UniformSpace.hasBasis_nhds_prod (x y : α) :
HasBasis (𝓝 (x, y)) (fun s => s ∈ 𝓤 α ∧ SymmetricRel s) fun s => ball x s ×ˢ ball y s := by
rw [nhds_prod_eq]
apply (hasBasis_nhds x).prod_same_index (hasBasis_nhds y)
rintro U V ⟨U_in, U_symm⟩ ⟨V_in, V_symm⟩
exact
⟨U ∩ V, ⟨(𝓤 α).inter_sets U_in V_in, U_symm.inter V_symm⟩, ball_inter_left x U V,
ball_inter_right y U V⟩
#align uniform_space.has_basis_nhds_prod UniformSpace.hasBasis_nhds_prod
theorem nhds_eq_uniformity {x : α} : 𝓝 x = (𝓤 α).lift' (ball x) :=
(nhds_basis_uniformity' (𝓤 α).basis_sets).eq_biInf
#align nhds_eq_uniformity nhds_eq_uniformity
theorem nhds_eq_uniformity' {x : α} : 𝓝 x = (𝓤 α).lift' fun s => { y | (y, x) ∈ s } :=
(nhds_basis_uniformity (𝓤 α).basis_sets).eq_biInf
#align nhds_eq_uniformity' nhds_eq_uniformity'
theorem mem_nhds_left (x : α) {s : Set (α × α)} (h : s ∈ 𝓤 α) : { y : α | (x, y) ∈ s } ∈ 𝓝 x :=
ball_mem_nhds x h
#align mem_nhds_left mem_nhds_left
theorem mem_nhds_right (y : α) {s : Set (α × α)} (h : s ∈ 𝓤 α) : { x : α | (x, y) ∈ s } ∈ 𝓝 y :=
mem_nhds_left _ (symm_le_uniformity h)
#align mem_nhds_right mem_nhds_right
theorem exists_mem_nhds_ball_subset_of_mem_nhds {a : α} {U : Set α} (h : U ∈ 𝓝 a) :
∃ V ∈ 𝓝 a, ∃ t ∈ 𝓤 α, ∀ a' ∈ V, UniformSpace.ball a' t ⊆ U :=
let ⟨t, ht, htU⟩ := comp_mem_uniformity_sets (mem_nhds_uniformity_iff_right.1 h)
⟨_, mem_nhds_left a ht, t, ht, fun a₁ h₁ a₂ h₂ => @htU (a, a₂) ⟨a₁, h₁, h₂⟩ rfl⟩
#align exists_mem_nhds_ball_subset_of_mem_nhds exists_mem_nhds_ball_subset_of_mem_nhds
theorem tendsto_right_nhds_uniformity {a : α} : Tendsto (fun a' => (a', a)) (𝓝 a) (𝓤 α) := fun _ =>
mem_nhds_right a
#align tendsto_right_nhds_uniformity tendsto_right_nhds_uniformity
theorem tendsto_left_nhds_uniformity {a : α} : Tendsto (fun a' => (a, a')) (𝓝 a) (𝓤 α) := fun _ =>
mem_nhds_left a
#align tendsto_left_nhds_uniformity tendsto_left_nhds_uniformity
theorem lift_nhds_left {x : α} {g : Set α → Filter β} (hg : Monotone g) :
(𝓝 x).lift g = (𝓤 α).lift fun s : Set (α × α) => g (ball x s) := by
rw [nhds_eq_comap_uniformity, comap_lift_eq2 hg]
simp_rw [ball, Function.comp]
#align lift_nhds_left lift_nhds_left
theorem lift_nhds_right {x : α} {g : Set α → Filter β} (hg : Monotone g) :
(𝓝 x).lift g = (𝓤 α).lift fun s : Set (α × α) => g { y | (y, x) ∈ s } := by
rw [nhds_eq_comap_uniformity', comap_lift_eq2 hg]
simp_rw [Function.comp, preimage]
#align lift_nhds_right lift_nhds_right
theorem nhds_nhds_eq_uniformity_uniformity_prod {a b : α} :
𝓝 a ×ˢ 𝓝 b = (𝓤 α).lift fun s : Set (α × α) =>
(𝓤 α).lift' fun t => { y : α | (y, a) ∈ s } ×ˢ { y : α | (b, y) ∈ t } := by
rw [nhds_eq_uniformity', nhds_eq_uniformity, prod_lift'_lift']
exacts [rfl, monotone_preimage, monotone_preimage]
#align nhds_nhds_eq_uniformity_uniformity_prod nhds_nhds_eq_uniformity_uniformity_prod
theorem nhds_eq_uniformity_prod {a b : α} :
𝓝 (a, b) =
(𝓤 α).lift' fun s : Set (α × α) => { y : α | (y, a) ∈ s } ×ˢ { y : α | (b, y) ∈ s } := by
rw [nhds_prod_eq, nhds_nhds_eq_uniformity_uniformity_prod, lift_lift'_same_eq_lift']
· exact fun s => monotone_const.set_prod monotone_preimage
· refine fun t => Monotone.set_prod ?_ monotone_const
exact monotone_preimage (f := fun y => (y, a))
#align nhds_eq_uniformity_prod nhds_eq_uniformity_prod
theorem nhdset_of_mem_uniformity {d : Set (α × α)} (s : Set (α × α)) (hd : d ∈ 𝓤 α) :
∃ t : Set (α × α), IsOpen t ∧ s ⊆ t ∧
t ⊆ { p | ∃ x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d } := by
let cl_d := { p : α × α | ∃ x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d }
have : ∀ p ∈ s, ∃ t, t ⊆ cl_d ∧ IsOpen t ∧ p ∈ t := fun ⟨x, y⟩ hp =>
mem_nhds_iff.mp <|
show cl_d ∈ 𝓝 (x, y) by
rw [nhds_eq_uniformity_prod, mem_lift'_sets]
· exact ⟨d, hd, fun ⟨a, b⟩ ⟨ha, hb⟩ => ⟨x, y, ha, hp, hb⟩⟩
· exact fun _ _ h _ h' => ⟨h h'.1, h h'.2⟩
choose t ht using this
exact ⟨(⋃ p : α × α, ⋃ h : p ∈ s, t p h : Set (α × α)),
isOpen_iUnion fun p : α × α => isOpen_iUnion fun hp => (ht p hp).right.left,
fun ⟨a, b⟩ hp => by
simp only [mem_iUnion, Prod.exists]; exact ⟨a, b, hp, (ht (a, b) hp).right.right⟩,
iUnion_subset fun p => iUnion_subset fun hp => (ht p hp).left⟩
#align nhdset_of_mem_uniformity nhdset_of_mem_uniformity
theorem nhds_le_uniformity (x : α) : 𝓝 (x, x) ≤ 𝓤 α := by
intro V V_in
rcases comp_symm_mem_uniformity_sets V_in with ⟨w, w_in, w_symm, w_sub⟩
have : ball x w ×ˢ ball x w ∈ 𝓝 (x, x) := by
rw [nhds_prod_eq]
exact prod_mem_prod (ball_mem_nhds x w_in) (ball_mem_nhds x w_in)
apply mem_of_superset this
rintro ⟨u, v⟩ ⟨u_in, v_in⟩
exact w_sub (mem_comp_of_mem_ball w_symm u_in v_in)
#align nhds_le_uniformity nhds_le_uniformity
theorem iSup_nhds_le_uniformity : ⨆ x : α, 𝓝 (x, x) ≤ 𝓤 α :=
iSup_le nhds_le_uniformity
#align supr_nhds_le_uniformity iSup_nhds_le_uniformity
theorem nhdsSet_diagonal_le_uniformity : 𝓝ˢ (diagonal α) ≤ 𝓤 α :=
(nhdsSet_diagonal α).trans_le iSup_nhds_le_uniformity
#align nhds_set_diagonal_le_uniformity nhdsSet_diagonal_le_uniformity
theorem closure_eq_uniformity (s : Set <| α × α) :
closure s = ⋂ V ∈ { V | V ∈ 𝓤 α ∧ SymmetricRel V }, V ○ s ○ V := by
ext ⟨x, y⟩
simp (config := { contextual := true }) only
[mem_closure_iff_nhds_basis (UniformSpace.hasBasis_nhds_prod x y), mem_iInter, mem_setOf_eq,
and_imp, mem_comp_comp, exists_prop, ← mem_inter_iff, inter_comm, Set.Nonempty]
#align closure_eq_uniformity closure_eq_uniformity
theorem uniformity_hasBasis_closed :
HasBasis (𝓤 α) (fun V : Set (α × α) => V ∈ 𝓤 α ∧ IsClosed V) id := by
refine Filter.hasBasis_self.2 fun t h => ?_
rcases comp_comp_symm_mem_uniformity_sets h with ⟨w, w_in, w_symm, r⟩
refine ⟨closure w, mem_of_superset w_in subset_closure, isClosed_closure, ?_⟩
refine Subset.trans ?_ r
rw [closure_eq_uniformity]
apply iInter_subset_of_subset
apply iInter_subset
exact ⟨w_in, w_symm⟩
#align uniformity_has_basis_closed uniformity_hasBasis_closed
theorem uniformity_eq_uniformity_closure : 𝓤 α = (𝓤 α).lift' closure :=
Eq.symm <| uniformity_hasBasis_closed.lift'_closure_eq_self fun _ => And.right
#align uniformity_eq_uniformity_closure uniformity_eq_uniformity_closure
theorem Filter.HasBasis.uniformity_closure {p : ι → Prop} {U : ι → Set (α × α)}
(h : (𝓤 α).HasBasis p U) : (𝓤 α).HasBasis p fun i => closure (U i) :=
(@uniformity_eq_uniformity_closure α _).symm ▸ h.lift'_closure
#align filter.has_basis.uniformity_closure Filter.HasBasis.uniformity_closure
theorem uniformity_hasBasis_closure : HasBasis (𝓤 α) (fun V : Set (α × α) => V ∈ 𝓤 α) closure :=
(𝓤 α).basis_sets.uniformity_closure
#align uniformity_has_basis_closure uniformity_hasBasis_closure
theorem closure_eq_inter_uniformity {t : Set (α × α)} : closure t = ⋂ d ∈ 𝓤 α, d ○ (t ○ d) :=
calc
closure t = ⋂ (V) (_ : V ∈ 𝓤 α ∧ SymmetricRel V), V ○ t ○ V := closure_eq_uniformity t
_ = ⋂ V ∈ 𝓤 α, V ○ t ○ V :=
Eq.symm <|
UniformSpace.hasBasis_symmetric.biInter_mem fun V₁ V₂ hV =>
compRel_mono (compRel_mono hV Subset.rfl) hV
_ = ⋂ V ∈ 𝓤 α, V ○ (t ○ V) := by simp only [compRel_assoc]
#align closure_eq_inter_uniformity closure_eq_inter_uniformity
theorem uniformity_eq_uniformity_interior : 𝓤 α = (𝓤 α).lift' interior :=
le_antisymm
(le_iInf₂ fun d hd => by
let ⟨s, hs, hs_comp⟩ := comp3_mem_uniformity hd
let ⟨t, ht, hst, ht_comp⟩ := nhdset_of_mem_uniformity s hs
have : s ⊆ interior d :=
calc
s ⊆ t := hst
_ ⊆ interior d :=
ht.subset_interior_iff.mpr fun x (hx : x ∈ t) =>
let ⟨x, y, h₁, h₂, h₃⟩ := ht_comp hx
hs_comp ⟨x, h₁, y, h₂, h₃⟩
have : interior d ∈ 𝓤 α := by filter_upwards [hs] using this
simp [this])
fun s hs => ((𝓤 α).lift' interior).sets_of_superset (mem_lift' hs) interior_subset
#align uniformity_eq_uniformity_interior uniformity_eq_uniformity_interior
| Mathlib/Topology/UniformSpace/Basic.lean | 979 | 980 | theorem interior_mem_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) : interior s ∈ 𝓤 α := by |
rw [uniformity_eq_uniformity_interior]; exact mem_lift' hs
|
import Mathlib.Init.Algebra.Classes
import Mathlib.Init.Data.Ordering.Basic
#align_import init.data.ordering.lemmas from "leanprover-community/lean"@"4bd314f7bd5e0c9e813fc201f1279a23f13f9f1d"
universe u
namespace Ordering
@[simp]
theorem ite_eq_lt_distrib (c : Prop) [Decidable c] (a b : Ordering) :
((if c then a else b) = Ordering.lt) = if c then a = Ordering.lt else b = Ordering.lt := by
by_cases c <;> simp [*]
#align ordering.ite_eq_lt_distrib Ordering.ite_eq_lt_distrib
@[simp]
| Mathlib/Init/Data/Ordering/Lemmas.lean | 26 | 28 | theorem ite_eq_eq_distrib (c : Prop) [Decidable c] (a b : Ordering) :
((if c then a else b) = Ordering.eq) = if c then a = Ordering.eq else b = Ordering.eq := by |
by_cases c <;> simp [*]
|
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