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 |
|---|---|---|---|---|---|
import Mathlib.Order.Interval.Set.UnorderedInterval
import Mathlib.Algebra.Order.Interval.Set.Monoid
import Mathlib.Data.Set.Pointwise.Basic
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Algebra.Order.Group.MinMax
#align_import data.set.pointwise.interval from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
open Interval Pointwise
variable {α : Type*}
namespace Set
section ContravariantLT
variable [Mul α] [PartialOrder α]
variable [CovariantClass α α (· * ·) (· < ·)] [CovariantClass α α (Function.swap HMul.hMul) LT.lt]
@[to_additive Icc_add_Ico_subset]
theorem Icc_mul_Ico_subset' (a b c d : α) : Icc a b * Ico c d ⊆ Ico (a * c) (b * d) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩
exact ⟨mul_le_mul' hya hzc, mul_lt_mul_of_le_of_lt hyb hzd⟩
@[to_additive Ico_add_Icc_subset]
theorem Ico_mul_Icc_subset' (a b c d : α) : Ico a b * Icc c d ⊆ Ico (a * c) (b * d) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩
exact ⟨mul_le_mul' hya hzc, mul_lt_mul_of_lt_of_le hyb hzd⟩
@[to_additive Ioc_add_Ico_subset]
theorem Ioc_mul_Ico_subset' (a b c d : α) : Ioc a b * Ico c d ⊆ Ioo (a * c) (b * d) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩
exact ⟨mul_lt_mul_of_lt_of_le hya hzc, mul_lt_mul_of_le_of_lt hyb hzd⟩
@[to_additive Ico_add_Ioc_subset]
theorem Ico_mul_Ioc_subset' (a b c d : α) : Ico a b * Ioc c d ⊆ Ioo (a * c) (b * d) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩
exact ⟨mul_lt_mul_of_le_of_lt hya hzc, mul_lt_mul_of_lt_of_le hyb hzd⟩
@[to_additive Iic_add_Iio_subset]
theorem Iic_mul_Iio_subset' (a b : α) : Iic a * Iio b ⊆ Iio (a * b) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, hya, z, hzb, rfl⟩
exact mul_lt_mul_of_le_of_lt hya hzb
@[to_additive Iio_add_Iic_subset]
theorem Iio_mul_Iic_subset' (a b : α) : Iio a * Iic b ⊆ Iio (a * b) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, hya, z, hzb, rfl⟩
exact mul_lt_mul_of_lt_of_le hya hzb
@[to_additive Ioi_add_Ici_subset]
theorem Ioi_mul_Ici_subset' (a b : α) : Ioi a * Ici b ⊆ Ioi (a * b) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, hya, z, hzb, rfl⟩
exact mul_lt_mul_of_lt_of_le hya hzb
@[to_additive Ici_add_Ioi_subset]
| Mathlib/Data/Set/Pointwise/Interval.lean | 110 | 113 | theorem Ici_mul_Ioi_subset' (a b : α) : Ici a * Ioi b ⊆ Ioi (a * b) := by |
haveI := covariantClass_le_of_lt
rintro x ⟨y, hya, z, hzb, rfl⟩
exact mul_lt_mul_of_le_of_lt hya hzb
|
import Mathlib.MeasureTheory.Function.LpOrder
#align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f"
noncomputable section
open scoped Classical
open Topology ENNReal MeasureTheory NNReal
open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory
variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ]
variable [NormedAddCommGroup β]
variable [NormedAddCommGroup γ]
namespace MeasureTheory
theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) :
∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm]
#align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist
theorem lintegral_norm_eq_lintegral_edist (f : α → β) :
∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by
simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm]
#align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist
theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ)
(hh : AEStronglyMeasurable h μ) :
(∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by
rw [← lintegral_add_left' (hf.edist hh)]
refine lintegral_mono fun a => ?_
apply edist_triangle_right
#align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle
theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by simp
#align measure_theory.lintegral_nnnorm_zero MeasureTheory.lintegral_nnnorm_zero
theorem lintegral_nnnorm_add_left {f : α → β} (hf : AEStronglyMeasurable f μ) (g : α → γ) :
∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ :=
lintegral_add_left' hf.ennnorm _
#align measure_theory.lintegral_nnnorm_add_left MeasureTheory.lintegral_nnnorm_add_left
theorem lintegral_nnnorm_add_right (f : α → β) {g : α → γ} (hg : AEStronglyMeasurable g μ) :
∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ :=
lintegral_add_right' _ hg.ennnorm
#align measure_theory.lintegral_nnnorm_add_right MeasureTheory.lintegral_nnnorm_add_right
theorem lintegral_nnnorm_neg {f : α → β} : (∫⁻ a, ‖(-f) a‖₊ ∂μ) = ∫⁻ a, ‖f a‖₊ ∂μ := by
simp only [Pi.neg_apply, nnnorm_neg]
#align measure_theory.lintegral_nnnorm_neg MeasureTheory.lintegral_nnnorm_neg
def HasFiniteIntegral {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop :=
(∫⁻ a, ‖f a‖₊ ∂μ) < ∞
#align measure_theory.has_finite_integral MeasureTheory.HasFiniteIntegral
theorem hasFiniteIntegral_def {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) :
HasFiniteIntegral f μ ↔ ((∫⁻ a, ‖f a‖₊ ∂μ) < ∞) :=
Iff.rfl
theorem hasFiniteIntegral_iff_norm (f : α → β) :
HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) < ∞ := by
simp only [HasFiniteIntegral, ofReal_norm_eq_coe_nnnorm]
#align measure_theory.has_finite_integral_iff_norm MeasureTheory.hasFiniteIntegral_iff_norm
theorem hasFiniteIntegral_iff_edist (f : α → β) :
HasFiniteIntegral f μ ↔ (∫⁻ a, edist (f a) 0 ∂μ) < ∞ := by
simp only [hasFiniteIntegral_iff_norm, edist_dist, dist_zero_right]
#align measure_theory.has_finite_integral_iff_edist MeasureTheory.hasFiniteIntegral_iff_edist
theorem hasFiniteIntegral_iff_ofReal {f : α → ℝ} (h : 0 ≤ᵐ[μ] f) :
HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal (f a) ∂μ) < ∞ := by
rw [HasFiniteIntegral, lintegral_nnnorm_eq_of_ae_nonneg h]
#align measure_theory.has_finite_integral_iff_of_real MeasureTheory.hasFiniteIntegral_iff_ofReal
theorem hasFiniteIntegral_iff_ofNNReal {f : α → ℝ≥0} :
HasFiniteIntegral (fun x => (f x : ℝ)) μ ↔ (∫⁻ a, f a ∂μ) < ∞ := by
simp [hasFiniteIntegral_iff_norm]
#align measure_theory.has_finite_integral_iff_of_nnreal MeasureTheory.hasFiniteIntegral_iff_ofNNReal
theorem HasFiniteIntegral.mono {f : α → β} {g : α → γ} (hg : HasFiniteIntegral g μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ ≤ ‖g a‖) : HasFiniteIntegral f μ := by
simp only [hasFiniteIntegral_iff_norm] at *
calc
(∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) ≤ ∫⁻ a : α, ENNReal.ofReal ‖g a‖ ∂μ :=
lintegral_mono_ae (h.mono fun a h => ofReal_le_ofReal h)
_ < ∞ := hg
#align measure_theory.has_finite_integral.mono MeasureTheory.HasFiniteIntegral.mono
theorem HasFiniteIntegral.mono' {f : α → β} {g : α → ℝ} (hg : HasFiniteIntegral g μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ ≤ g a) : HasFiniteIntegral f μ :=
hg.mono <| h.mono fun _x hx => le_trans hx (le_abs_self _)
#align measure_theory.has_finite_integral.mono' MeasureTheory.HasFiniteIntegral.mono'
theorem HasFiniteIntegral.congr' {f : α → β} {g : α → γ} (hf : HasFiniteIntegral f μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : HasFiniteIntegral g μ :=
hf.mono <| EventuallyEq.le <| EventuallyEq.symm h
#align measure_theory.has_finite_integral.congr' MeasureTheory.HasFiniteIntegral.congr'
theorem hasFiniteIntegral_congr' {f : α → β} {g : α → γ} (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) :
HasFiniteIntegral f μ ↔ HasFiniteIntegral g μ :=
⟨fun hf => hf.congr' h, fun hg => hg.congr' <| EventuallyEq.symm h⟩
#align measure_theory.has_finite_integral_congr' MeasureTheory.hasFiniteIntegral_congr'
theorem HasFiniteIntegral.congr {f g : α → β} (hf : HasFiniteIntegral f μ) (h : f =ᵐ[μ] g) :
HasFiniteIntegral g μ :=
hf.congr' <| h.fun_comp norm
#align measure_theory.has_finite_integral.congr MeasureTheory.HasFiniteIntegral.congr
theorem hasFiniteIntegral_congr {f g : α → β} (h : f =ᵐ[μ] g) :
HasFiniteIntegral f μ ↔ HasFiniteIntegral g μ :=
hasFiniteIntegral_congr' <| h.fun_comp norm
#align measure_theory.has_finite_integral_congr MeasureTheory.hasFiniteIntegral_congr
theorem hasFiniteIntegral_const_iff {c : β} :
HasFiniteIntegral (fun _ : α => c) μ ↔ c = 0 ∨ μ univ < ∞ := by
simp [HasFiniteIntegral, lintegral_const, lt_top_iff_ne_top, ENNReal.mul_eq_top,
or_iff_not_imp_left]
#align measure_theory.has_finite_integral_const_iff MeasureTheory.hasFiniteIntegral_const_iff
theorem hasFiniteIntegral_const [IsFiniteMeasure μ] (c : β) :
HasFiniteIntegral (fun _ : α => c) μ :=
hasFiniteIntegral_const_iff.2 (Or.inr <| measure_lt_top _ _)
#align measure_theory.has_finite_integral_const MeasureTheory.hasFiniteIntegral_const
theorem hasFiniteIntegral_of_bounded [IsFiniteMeasure μ] {f : α → β} {C : ℝ}
(hC : ∀ᵐ a ∂μ, ‖f a‖ ≤ C) : HasFiniteIntegral f μ :=
(hasFiniteIntegral_const C).mono' hC
#align measure_theory.has_finite_integral_of_bounded MeasureTheory.hasFiniteIntegral_of_bounded
theorem HasFiniteIntegral.of_finite [Finite α] [IsFiniteMeasure μ] {f : α → β} :
HasFiniteIntegral f μ :=
let ⟨_⟩ := nonempty_fintype α
hasFiniteIntegral_of_bounded <| ae_of_all μ <| norm_le_pi_norm f
@[deprecated (since := "2024-02-05")]
alias hasFiniteIntegral_of_fintype := HasFiniteIntegral.of_finite
theorem HasFiniteIntegral.mono_measure {f : α → β} (h : HasFiniteIntegral f ν) (hμ : μ ≤ ν) :
HasFiniteIntegral f μ :=
lt_of_le_of_lt (lintegral_mono' hμ le_rfl) h
#align measure_theory.has_finite_integral.mono_measure MeasureTheory.HasFiniteIntegral.mono_measure
theorem HasFiniteIntegral.add_measure {f : α → β} (hμ : HasFiniteIntegral f μ)
(hν : HasFiniteIntegral f ν) : HasFiniteIntegral f (μ + ν) := by
simp only [HasFiniteIntegral, lintegral_add_measure] at *
exact add_lt_top.2 ⟨hμ, hν⟩
#align measure_theory.has_finite_integral.add_measure MeasureTheory.HasFiniteIntegral.add_measure
theorem HasFiniteIntegral.left_of_add_measure {f : α → β} (h : HasFiniteIntegral f (μ + ν)) :
HasFiniteIntegral f μ :=
h.mono_measure <| Measure.le_add_right <| le_rfl
#align measure_theory.has_finite_integral.left_of_add_measure MeasureTheory.HasFiniteIntegral.left_of_add_measure
theorem HasFiniteIntegral.right_of_add_measure {f : α → β} (h : HasFiniteIntegral f (μ + ν)) :
HasFiniteIntegral f ν :=
h.mono_measure <| Measure.le_add_left <| le_rfl
#align measure_theory.has_finite_integral.right_of_add_measure MeasureTheory.HasFiniteIntegral.right_of_add_measure
@[simp]
theorem hasFiniteIntegral_add_measure {f : α → β} :
HasFiniteIntegral f (μ + ν) ↔ HasFiniteIntegral f μ ∧ HasFiniteIntegral f ν :=
⟨fun h => ⟨h.left_of_add_measure, h.right_of_add_measure⟩, fun h => h.1.add_measure h.2⟩
#align measure_theory.has_finite_integral_add_measure MeasureTheory.hasFiniteIntegral_add_measure
theorem HasFiniteIntegral.smul_measure {f : α → β} (h : HasFiniteIntegral f μ) {c : ℝ≥0∞}
(hc : c ≠ ∞) : HasFiniteIntegral f (c • μ) := by
simp only [HasFiniteIntegral, lintegral_smul_measure] at *
exact mul_lt_top hc h.ne
#align measure_theory.has_finite_integral.smul_measure MeasureTheory.HasFiniteIntegral.smul_measure
@[simp]
theorem hasFiniteIntegral_zero_measure {m : MeasurableSpace α} (f : α → β) :
HasFiniteIntegral f (0 : Measure α) := by
simp only [HasFiniteIntegral, lintegral_zero_measure, zero_lt_top]
#align measure_theory.has_finite_integral_zero_measure MeasureTheory.hasFiniteIntegral_zero_measure
variable (α β μ)
@[simp]
theorem hasFiniteIntegral_zero : HasFiniteIntegral (fun _ : α => (0 : β)) μ := by
simp [HasFiniteIntegral]
#align measure_theory.has_finite_integral_zero MeasureTheory.hasFiniteIntegral_zero
variable {α β μ}
theorem HasFiniteIntegral.neg {f : α → β} (hfi : HasFiniteIntegral f μ) :
HasFiniteIntegral (-f) μ := by simpa [HasFiniteIntegral] using hfi
#align measure_theory.has_finite_integral.neg MeasureTheory.HasFiniteIntegral.neg
@[simp]
theorem hasFiniteIntegral_neg_iff {f : α → β} : HasFiniteIntegral (-f) μ ↔ HasFiniteIntegral f μ :=
⟨fun h => neg_neg f ▸ h.neg, HasFiniteIntegral.neg⟩
#align measure_theory.has_finite_integral_neg_iff MeasureTheory.hasFiniteIntegral_neg_iff
theorem HasFiniteIntegral.norm {f : α → β} (hfi : HasFiniteIntegral f μ) :
HasFiniteIntegral (fun a => ‖f a‖) μ := by
have eq : (fun a => (nnnorm ‖f a‖ : ℝ≥0∞)) = fun a => (‖f a‖₊ : ℝ≥0∞) := by
funext
rw [nnnorm_norm]
rwa [HasFiniteIntegral, eq]
#align measure_theory.has_finite_integral.norm MeasureTheory.HasFiniteIntegral.norm
theorem hasFiniteIntegral_norm_iff (f : α → β) :
HasFiniteIntegral (fun a => ‖f a‖) μ ↔ HasFiniteIntegral f μ :=
hasFiniteIntegral_congr' <| eventually_of_forall fun x => norm_norm (f x)
#align measure_theory.has_finite_integral_norm_iff MeasureTheory.hasFiniteIntegral_norm_iff
theorem hasFiniteIntegral_toReal_of_lintegral_ne_top {f : α → ℝ≥0∞} (hf : (∫⁻ x, f x ∂μ) ≠ ∞) :
HasFiniteIntegral (fun x => (f x).toReal) μ := by
have :
∀ x, (‖(f x).toReal‖₊ : ℝ≥0∞) = ENNReal.ofNNReal ⟨(f x).toReal, ENNReal.toReal_nonneg⟩ := by
intro x
rw [Real.nnnorm_of_nonneg]
simp_rw [HasFiniteIntegral, this]
refine lt_of_le_of_lt (lintegral_mono fun x => ?_) (lt_top_iff_ne_top.2 hf)
by_cases hfx : f x = ∞
· simp [hfx]
· lift f x to ℝ≥0 using hfx with fx h
simp [← h, ← NNReal.coe_le_coe]
#align measure_theory.has_finite_integral_to_real_of_lintegral_ne_top MeasureTheory.hasFiniteIntegral_toReal_of_lintegral_ne_top
theorem isFiniteMeasure_withDensity_ofReal {f : α → ℝ} (hfi : HasFiniteIntegral f μ) :
IsFiniteMeasure (μ.withDensity fun x => ENNReal.ofReal <| f x) := by
refine isFiniteMeasure_withDensity ((lintegral_mono fun x => ?_).trans_lt hfi).ne
exact Real.ofReal_le_ennnorm (f x)
#align measure_theory.is_finite_measure_with_density_of_real MeasureTheory.isFiniteMeasure_withDensity_ofReal
-- variable [MeasurableSpace β] [MeasurableSpace γ] [MeasurableSpace δ]
def Integrable {α} {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop :=
AEStronglyMeasurable f μ ∧ HasFiniteIntegral f μ
#align measure_theory.integrable MeasureTheory.Integrable
theorem memℒp_one_iff_integrable {f : α → β} : Memℒp f 1 μ ↔ Integrable f μ := by
simp_rw [Integrable, HasFiniteIntegral, Memℒp, snorm_one_eq_lintegral_nnnorm]
#align measure_theory.mem_ℒp_one_iff_integrable MeasureTheory.memℒp_one_iff_integrable
theorem Integrable.aestronglyMeasurable {f : α → β} (hf : Integrable f μ) :
AEStronglyMeasurable f μ :=
hf.1
#align measure_theory.integrable.ae_strongly_measurable MeasureTheory.Integrable.aestronglyMeasurable
theorem Integrable.aemeasurable [MeasurableSpace β] [BorelSpace β] {f : α → β}
(hf : Integrable f μ) : AEMeasurable f μ :=
hf.aestronglyMeasurable.aemeasurable
#align measure_theory.integrable.ae_measurable MeasureTheory.Integrable.aemeasurable
theorem Integrable.hasFiniteIntegral {f : α → β} (hf : Integrable f μ) : HasFiniteIntegral f μ :=
hf.2
#align measure_theory.integrable.has_finite_integral MeasureTheory.Integrable.hasFiniteIntegral
theorem Integrable.mono {f : α → β} {g : α → γ} (hg : Integrable g μ)
(hf : AEStronglyMeasurable f μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ ‖g a‖) : Integrable f μ :=
⟨hf, hg.hasFiniteIntegral.mono h⟩
#align measure_theory.integrable.mono MeasureTheory.Integrable.mono
theorem Integrable.mono' {f : α → β} {g : α → ℝ} (hg : Integrable g μ)
(hf : AEStronglyMeasurable f μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ g a) : Integrable f μ :=
⟨hf, hg.hasFiniteIntegral.mono' h⟩
#align measure_theory.integrable.mono' MeasureTheory.Integrable.mono'
theorem Integrable.congr' {f : α → β} {g : α → γ} (hf : Integrable f μ)
(hg : AEStronglyMeasurable g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : Integrable g μ :=
⟨hg, hf.hasFiniteIntegral.congr' h⟩
#align measure_theory.integrable.congr' MeasureTheory.Integrable.congr'
theorem integrable_congr' {f : α → β} {g : α → γ} (hf : AEStronglyMeasurable f μ)
(hg : AEStronglyMeasurable g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) :
Integrable f μ ↔ Integrable g μ :=
⟨fun h2f => h2f.congr' hg h, fun h2g => h2g.congr' hf <| EventuallyEq.symm h⟩
#align measure_theory.integrable_congr' MeasureTheory.integrable_congr'
theorem Integrable.congr {f g : α → β} (hf : Integrable f μ) (h : f =ᵐ[μ] g) : Integrable g μ :=
⟨hf.1.congr h, hf.2.congr h⟩
#align measure_theory.integrable.congr MeasureTheory.Integrable.congr
theorem integrable_congr {f g : α → β} (h : f =ᵐ[μ] g) : Integrable f μ ↔ Integrable g μ :=
⟨fun hf => hf.congr h, fun hg => hg.congr h.symm⟩
#align measure_theory.integrable_congr MeasureTheory.integrable_congr
theorem integrable_const_iff {c : β} : Integrable (fun _ : α => c) μ ↔ c = 0 ∨ μ univ < ∞ := by
have : AEStronglyMeasurable (fun _ : α => c) μ := aestronglyMeasurable_const
rw [Integrable, and_iff_right this, hasFiniteIntegral_const_iff]
#align measure_theory.integrable_const_iff MeasureTheory.integrable_const_iff
@[simp]
theorem integrable_const [IsFiniteMeasure μ] (c : β) : Integrable (fun _ : α => c) μ :=
integrable_const_iff.2 <| Or.inr <| measure_lt_top _ _
#align measure_theory.integrable_const MeasureTheory.integrable_const
@[simp]
theorem Integrable.of_finite [Finite α] [MeasurableSpace α] [MeasurableSingletonClass α]
(μ : Measure α) [IsFiniteMeasure μ] (f : α → β) : Integrable (fun a ↦ f a) μ :=
⟨(StronglyMeasurable.of_finite f).aestronglyMeasurable, .of_finite⟩
@[deprecated (since := "2024-02-05")] alias integrable_of_fintype := Integrable.of_finite
theorem Memℒp.integrable_norm_rpow {f : α → β} {p : ℝ≥0∞} (hf : Memℒp f p μ) (hp_ne_zero : p ≠ 0)
(hp_ne_top : p ≠ ∞) : Integrable (fun x : α => ‖f x‖ ^ p.toReal) μ := by
rw [← memℒp_one_iff_integrable]
exact hf.norm_rpow hp_ne_zero hp_ne_top
#align measure_theory.mem_ℒp.integrable_norm_rpow MeasureTheory.Memℒp.integrable_norm_rpow
theorem Memℒp.integrable_norm_rpow' [IsFiniteMeasure μ] {f : α → β} {p : ℝ≥0∞} (hf : Memℒp f p μ) :
Integrable (fun x : α => ‖f x‖ ^ p.toReal) μ := by
by_cases h_zero : p = 0
· simp [h_zero, integrable_const]
by_cases h_top : p = ∞
· simp [h_top, integrable_const]
exact hf.integrable_norm_rpow h_zero h_top
#align measure_theory.mem_ℒp.integrable_norm_rpow' MeasureTheory.Memℒp.integrable_norm_rpow'
theorem Integrable.mono_measure {f : α → β} (h : Integrable f ν) (hμ : μ ≤ ν) : Integrable f μ :=
⟨h.aestronglyMeasurable.mono_measure hμ, h.hasFiniteIntegral.mono_measure hμ⟩
#align measure_theory.integrable.mono_measure MeasureTheory.Integrable.mono_measure
| Mathlib/MeasureTheory/Function/L1Space.lean | 524 | 527 | theorem Integrable.of_measure_le_smul {μ' : Measure α} (c : ℝ≥0∞) (hc : c ≠ ∞) (hμ'_le : μ' ≤ c • μ)
{f : α → β} (hf : Integrable f μ) : Integrable f μ' := by |
rw [← memℒp_one_iff_integrable] at hf ⊢
exact hf.of_measure_le_smul c hc hμ'_le
|
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]
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
#align to_Ico_div_sub toIcoDiv_sub
@[simp]
theorem toIcoDiv_sub' (a b : α) : toIcoDiv hp (a - p) b = toIcoDiv hp a b + 1 := by
simpa only [one_zsmul] using toIcoDiv_sub_zsmul' hp a b 1
#align to_Ico_div_sub' toIcoDiv_sub'
@[simp]
theorem toIocDiv_sub (a b : α) : toIocDiv hp a (b - p) = toIocDiv hp a b - 1 := by
simpa only [one_zsmul] using toIocDiv_sub_zsmul hp a b 1
#align to_Ioc_div_sub toIocDiv_sub
@[simp]
theorem toIocDiv_sub' (a b : α) : toIocDiv hp (a - p) b = toIocDiv hp a b + 1 := by
simpa only [one_zsmul] using toIocDiv_sub_zsmul' hp a b 1
#align to_Ioc_div_sub' toIocDiv_sub'
theorem toIcoDiv_sub_eq_toIcoDiv_add (a b c : α) :
toIcoDiv hp a (b - c) = toIcoDiv hp (a + c) b := by
apply toIcoDiv_eq_of_sub_zsmul_mem_Ico
rw [← sub_right_comm, Set.sub_mem_Ico_iff_left, add_right_comm]
exact sub_toIcoDiv_zsmul_mem_Ico hp (a + c) b
#align to_Ico_div_sub_eq_to_Ico_div_add toIcoDiv_sub_eq_toIcoDiv_add
theorem toIocDiv_sub_eq_toIocDiv_add (a b c : α) :
toIocDiv hp a (b - c) = toIocDiv hp (a + c) b := by
apply toIocDiv_eq_of_sub_zsmul_mem_Ioc
rw [← sub_right_comm, Set.sub_mem_Ioc_iff_left, add_right_comm]
exact sub_toIocDiv_zsmul_mem_Ioc hp (a + c) b
#align to_Ioc_div_sub_eq_to_Ioc_div_add toIocDiv_sub_eq_toIocDiv_add
theorem toIcoDiv_sub_eq_toIcoDiv_add' (a b c : α) :
toIcoDiv hp (a - c) b = toIcoDiv hp a (b + c) := by
rw [← sub_neg_eq_add, toIcoDiv_sub_eq_toIcoDiv_add, sub_eq_add_neg]
#align to_Ico_div_sub_eq_to_Ico_div_add' toIcoDiv_sub_eq_toIcoDiv_add'
theorem toIocDiv_sub_eq_toIocDiv_add' (a b c : α) :
toIocDiv hp (a - c) b = toIocDiv hp a (b + c) := by
rw [← sub_neg_eq_add, toIocDiv_sub_eq_toIocDiv_add, sub_eq_add_neg]
#align to_Ioc_div_sub_eq_to_Ioc_div_add' toIocDiv_sub_eq_toIocDiv_add'
theorem toIcoDiv_neg (a b : α) : toIcoDiv hp a (-b) = -(toIocDiv hp (-a) b + 1) := by
suffices toIcoDiv hp a (-b) = -toIocDiv hp (-(a + p)) b by
rwa [neg_add, ← sub_eq_add_neg, toIocDiv_sub_eq_toIocDiv_add', toIocDiv_add_right] at this
rw [← neg_eq_iff_eq_neg, eq_comm]
apply toIocDiv_eq_of_sub_zsmul_mem_Ioc
obtain ⟨hc, ho⟩ := sub_toIcoDiv_zsmul_mem_Ico hp a (-b)
rw [← neg_lt_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at ho
rw [← neg_le_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at hc
refine ⟨ho, hc.trans_eq ?_⟩
rw [neg_add, neg_add_cancel_right]
#align to_Ico_div_neg toIcoDiv_neg
theorem toIcoDiv_neg' (a b : α) : toIcoDiv hp (-a) b = -(toIocDiv hp a (-b) + 1) := by
simpa only [neg_neg] using toIcoDiv_neg hp (-a) (-b)
#align to_Ico_div_neg' toIcoDiv_neg'
theorem toIocDiv_neg (a b : α) : toIocDiv hp a (-b) = -(toIcoDiv hp (-a) b + 1) := by
rw [← neg_neg b, toIcoDiv_neg, neg_neg, neg_neg, neg_add', neg_neg, add_sub_cancel_right]
#align to_Ioc_div_neg toIocDiv_neg
theorem toIocDiv_neg' (a b : α) : toIocDiv hp (-a) b = -(toIcoDiv hp a (-b) + 1) := by
simpa only [neg_neg] using toIocDiv_neg hp (-a) (-b)
#align to_Ioc_div_neg' toIocDiv_neg'
@[simp]
theorem toIcoMod_add_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b + m • p) = toIcoMod hp a b := by
rw [toIcoMod, toIcoDiv_add_zsmul, toIcoMod, add_smul]
abel
#align to_Ico_mod_add_zsmul toIcoMod_add_zsmul
@[simp]
theorem toIcoMod_add_zsmul' (a b : α) (m : ℤ) :
toIcoMod hp (a + m • p) b = toIcoMod hp a b + m • p := by
simp only [toIcoMod, toIcoDiv_add_zsmul', sub_smul, sub_add]
#align to_Ico_mod_add_zsmul' toIcoMod_add_zsmul'
@[simp]
theorem toIocMod_add_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b + m • p) = toIocMod hp a b := by
rw [toIocMod, toIocDiv_add_zsmul, toIocMod, add_smul]
abel
#align to_Ioc_mod_add_zsmul toIocMod_add_zsmul
@[simp]
theorem toIocMod_add_zsmul' (a b : α) (m : ℤ) :
toIocMod hp (a + m • p) b = toIocMod hp a b + m • p := by
simp only [toIocMod, toIocDiv_add_zsmul', sub_smul, sub_add]
#align to_Ioc_mod_add_zsmul' toIocMod_add_zsmul'
@[simp]
theorem toIcoMod_zsmul_add (a b : α) (m : ℤ) : toIcoMod hp a (m • p + b) = toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_zsmul]
#align to_Ico_mod_zsmul_add toIcoMod_zsmul_add
@[simp]
theorem toIcoMod_zsmul_add' (a b : α) (m : ℤ) :
toIcoMod hp (m • p + a) b = m • p + toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_zsmul', add_comm]
#align to_Ico_mod_zsmul_add' toIcoMod_zsmul_add'
@[simp]
theorem toIocMod_zsmul_add (a b : α) (m : ℤ) : toIocMod hp a (m • p + b) = toIocMod hp a b := by
rw [add_comm, toIocMod_add_zsmul]
#align to_Ioc_mod_zsmul_add toIocMod_zsmul_add
@[simp]
theorem toIocMod_zsmul_add' (a b : α) (m : ℤ) :
toIocMod hp (m • p + a) b = m • p + toIocMod hp a b := by
rw [add_comm, toIocMod_add_zsmul', add_comm]
#align to_Ioc_mod_zsmul_add' toIocMod_zsmul_add'
@[simp]
theorem toIcoMod_sub_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b - m • p) = toIcoMod hp a b := by
rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul]
#align to_Ico_mod_sub_zsmul toIcoMod_sub_zsmul
@[simp]
theorem toIcoMod_sub_zsmul' (a b : α) (m : ℤ) :
toIcoMod hp (a - m • p) b = toIcoMod hp a b - m • p := by
simp_rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul']
#align to_Ico_mod_sub_zsmul' toIcoMod_sub_zsmul'
@[simp]
theorem toIocMod_sub_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b - m • p) = toIocMod hp a b := by
rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul]
#align to_Ioc_mod_sub_zsmul toIocMod_sub_zsmul
@[simp]
theorem toIocMod_sub_zsmul' (a b : α) (m : ℤ) :
toIocMod hp (a - m • p) b = toIocMod hp a b - m • p := by
simp_rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul']
#align to_Ioc_mod_sub_zsmul' toIocMod_sub_zsmul'
@[simp]
theorem toIcoMod_add_right (a b : α) : toIcoMod hp a (b + p) = toIcoMod hp a b := by
simpa only [one_zsmul] using toIcoMod_add_zsmul hp a b 1
#align to_Ico_mod_add_right toIcoMod_add_right
@[simp]
theorem toIcoMod_add_right' (a b : α) : toIcoMod hp (a + p) b = toIcoMod hp a b + p := by
simpa only [one_zsmul] using toIcoMod_add_zsmul' hp a b 1
#align to_Ico_mod_add_right' toIcoMod_add_right'
@[simp]
theorem toIocMod_add_right (a b : α) : toIocMod hp a (b + p) = toIocMod hp a b := by
simpa only [one_zsmul] using toIocMod_add_zsmul hp a b 1
#align to_Ioc_mod_add_right toIocMod_add_right
@[simp]
theorem toIocMod_add_right' (a b : α) : toIocMod hp (a + p) b = toIocMod hp a b + p := by
simpa only [one_zsmul] using toIocMod_add_zsmul' hp a b 1
#align to_Ioc_mod_add_right' toIocMod_add_right'
@[simp]
theorem toIcoMod_add_left (a b : α) : toIcoMod hp a (p + b) = toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_right]
#align to_Ico_mod_add_left toIcoMod_add_left
@[simp]
theorem toIcoMod_add_left' (a b : α) : toIcoMod hp (p + a) b = p + toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_right', add_comm]
#align to_Ico_mod_add_left' toIcoMod_add_left'
@[simp]
theorem toIocMod_add_left (a b : α) : toIocMod hp a (p + b) = toIocMod hp a b := by
rw [add_comm, toIocMod_add_right]
#align to_Ioc_mod_add_left toIocMod_add_left
@[simp]
| Mathlib/Algebra/Order/ToIntervalMod.lean | 510 | 511 | theorem toIocMod_add_left' (a b : α) : toIocMod hp (p + a) b = p + toIocMod hp a b := by |
rw [add_comm, toIocMod_add_right', add_comm]
|
import Mathlib.Data.Set.Subsingleton
import Mathlib.Logic.Equiv.Defs
import Mathlib.Algebra.Group.Defs
#align_import data.part from "leanprover-community/mathlib"@"80c43012d26f63026d362c3aba28f3c3bafb07e6"
open Function
structure Part.{u} (α : Type u) : Type u where
Dom : Prop
get : Dom → α
#align part Part
namespace Part
variable {α : Type*} {β : Type*} {γ : Type*}
def toOption (o : Part α) [Decidable o.Dom] : Option α :=
if h : Dom o then some (o.get h) else none
#align part.to_option Part.toOption
@[simp] lemma toOption_isSome (o : Part α) [Decidable o.Dom] : o.toOption.isSome ↔ o.Dom := by
by_cases h : o.Dom <;> simp [h, toOption]
#align part.to_option_is_some Part.toOption_isSome
@[simp] lemma toOption_isNone (o : Part α) [Decidable o.Dom] : o.toOption.isNone ↔ ¬o.Dom := by
by_cases h : o.Dom <;> simp [h, toOption]
#align part.to_option_is_none Part.toOption_isNone
theorem ext' : ∀ {o p : Part α}, (o.Dom ↔ p.Dom) → (∀ h₁ h₂, o.get h₁ = p.get h₂) → o = p
| ⟨od, o⟩, ⟨pd, p⟩, H1, H2 => by
have t : od = pd := propext H1
cases t; rw [show o = p from funext fun p => H2 p p]
#align part.ext' Part.ext'
@[simp]
theorem eta : ∀ o : Part α, (⟨o.Dom, fun h => o.get h⟩ : Part α) = o
| ⟨_, _⟩ => rfl
#align part.eta Part.eta
protected def Mem (a : α) (o : Part α) : Prop :=
∃ h, o.get h = a
#align part.mem Part.Mem
instance : Membership α (Part α) :=
⟨Part.Mem⟩
theorem mem_eq (a : α) (o : Part α) : (a ∈ o) = ∃ h, o.get h = a :=
rfl
#align part.mem_eq Part.mem_eq
theorem dom_iff_mem : ∀ {o : Part α}, o.Dom ↔ ∃ y, y ∈ o
| ⟨_, f⟩ => ⟨fun h => ⟨f h, h, rfl⟩, fun ⟨_, h, rfl⟩ => h⟩
#align part.dom_iff_mem Part.dom_iff_mem
theorem get_mem {o : Part α} (h) : get o h ∈ o :=
⟨_, rfl⟩
#align part.get_mem Part.get_mem
@[simp]
theorem mem_mk_iff {p : Prop} {o : p → α} {a : α} : a ∈ Part.mk p o ↔ ∃ h, o h = a :=
Iff.rfl
#align part.mem_mk_iff Part.mem_mk_iff
@[ext]
theorem ext {o p : Part α} (H : ∀ a, a ∈ o ↔ a ∈ p) : o = p :=
(ext' ⟨fun h => ((H _).1 ⟨h, rfl⟩).fst, fun h => ((H _).2 ⟨h, rfl⟩).fst⟩) fun _ _ =>
((H _).2 ⟨_, rfl⟩).snd
#align part.ext Part.ext
def none : Part α :=
⟨False, False.rec⟩
#align part.none Part.none
instance : Inhabited (Part α) :=
⟨none⟩
@[simp]
theorem not_mem_none (a : α) : a ∉ @none α := fun h => h.fst
#align part.not_mem_none Part.not_mem_none
def some (a : α) : Part α :=
⟨True, fun _ => a⟩
#align part.some Part.some
@[simp]
theorem some_dom (a : α) : (some a).Dom :=
trivial
#align part.some_dom Part.some_dom
theorem mem_unique : ∀ {a b : α} {o : Part α}, a ∈ o → b ∈ o → a = b
| _, _, ⟨_, _⟩, ⟨_, rfl⟩, ⟨_, rfl⟩ => rfl
#align part.mem_unique Part.mem_unique
theorem Mem.left_unique : Relator.LeftUnique ((· ∈ ·) : α → Part α → Prop) := fun _ _ _ =>
mem_unique
#align part.mem.left_unique Part.Mem.left_unique
theorem get_eq_of_mem {o : Part α} {a} (h : a ∈ o) (h') : get o h' = a :=
mem_unique ⟨_, rfl⟩ h
#align part.get_eq_of_mem Part.get_eq_of_mem
protected theorem subsingleton (o : Part α) : Set.Subsingleton { a | a ∈ o } := fun _ ha _ hb =>
mem_unique ha hb
#align part.subsingleton Part.subsingleton
@[simp]
theorem get_some {a : α} (ha : (some a).Dom) : get (some a) ha = a :=
rfl
#align part.get_some Part.get_some
theorem mem_some (a : α) : a ∈ some a :=
⟨trivial, rfl⟩
#align part.mem_some Part.mem_some
@[simp]
theorem mem_some_iff {a b} : b ∈ (some a : Part α) ↔ b = a :=
⟨fun ⟨_, e⟩ => e.symm, fun e => ⟨trivial, e.symm⟩⟩
#align part.mem_some_iff Part.mem_some_iff
theorem eq_some_iff {a : α} {o : Part α} : o = some a ↔ a ∈ o :=
⟨fun e => e.symm ▸ mem_some _, fun ⟨h, e⟩ => e ▸ ext' (iff_true_intro h) fun _ _ => rfl⟩
#align part.eq_some_iff Part.eq_some_iff
theorem eq_none_iff {o : Part α} : o = none ↔ ∀ a, a ∉ o :=
⟨fun e => e.symm ▸ not_mem_none, fun h => ext (by simpa)⟩
#align part.eq_none_iff Part.eq_none_iff
theorem eq_none_iff' {o : Part α} : o = none ↔ ¬o.Dom :=
⟨fun e => e.symm ▸ id, fun h => eq_none_iff.2 fun _ h' => h h'.fst⟩
#align part.eq_none_iff' Part.eq_none_iff'
@[simp]
theorem not_none_dom : ¬(none : Part α).Dom :=
id
#align part.not_none_dom Part.not_none_dom
@[simp]
theorem some_ne_none (x : α) : some x ≠ none := by
intro h
exact true_ne_false (congr_arg Dom h)
#align part.some_ne_none Part.some_ne_none
@[simp]
theorem none_ne_some (x : α) : none ≠ some x :=
(some_ne_none x).symm
#align part.none_ne_some Part.none_ne_some
| Mathlib/Data/Part.lean | 202 | 207 | theorem ne_none_iff {o : Part α} : o ≠ none ↔ ∃ x, o = some x := by |
constructor
· rw [Ne, eq_none_iff', not_not]
exact fun h => ⟨o.get h, eq_some_iff.2 (get_mem h)⟩
· rintro ⟨x, rfl⟩
apply some_ne_none
|
import Mathlib.LinearAlgebra.Matrix.BilinearForm
import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly
import Mathlib.LinearAlgebra.Determinant
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.LinearAlgebra.Vandermonde
import Mathlib.LinearAlgebra.Trace
import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure
import Mathlib.FieldTheory.PrimitiveElement
import Mathlib.FieldTheory.Galois
import Mathlib.RingTheory.PowerBasis
import Mathlib.FieldTheory.Minpoly.MinpolyDiv
#align_import ring_theory.trace from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1"
universe u v w z
variable {R S T : Type*} [CommRing R] [CommRing S] [CommRing T]
variable [Algebra R S] [Algebra R T]
variable {K L : Type*} [Field K] [Field L] [Algebra K L]
variable {ι κ : Type w} [Fintype ι]
open FiniteDimensional
open LinearMap (BilinForm)
open LinearMap
open Matrix
open scoped Matrix
namespace Algebra
variable (b : Basis ι R S)
variable (R S)
noncomputable def trace : S →ₗ[R] R :=
(LinearMap.trace R S).comp (lmul R S).toLinearMap
#align algebra.trace Algebra.trace
variable {S}
-- Not a `simp` lemma since there are more interesting ways to rewrite `trace R S x`,
-- for example `trace_trace`
theorem trace_apply (x) : trace R S x = LinearMap.trace R S (lmul R S x) :=
rfl
#align algebra.trace_apply Algebra.trace_apply
theorem trace_eq_zero_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) :
trace R S = 0 := by ext s; simp [trace_apply, LinearMap.trace, h]
#align algebra.trace_eq_zero_of_not_exists_basis Algebra.trace_eq_zero_of_not_exists_basis
variable {R}
-- Can't be a `simp` lemma because it depends on a choice of basis
theorem trace_eq_matrix_trace [DecidableEq ι] (b : Basis ι R S) (s : S) :
trace R S s = Matrix.trace (Algebra.leftMulMatrix b s) := by
rw [trace_apply, LinearMap.trace_eq_matrix_trace _ b, ← toMatrix_lmul_eq]; rfl
#align algebra.trace_eq_matrix_trace Algebra.trace_eq_matrix_trace
theorem trace_algebraMap_of_basis (x : R) : trace R S (algebraMap R S x) = Fintype.card ι • x := by
haveI := Classical.decEq ι
rw [trace_apply, LinearMap.trace_eq_matrix_trace R b, Matrix.trace]
convert Finset.sum_const x
simp [-coe_lmul_eq_mul]
#align algebra.trace_algebra_map_of_basis Algebra.trace_algebraMap_of_basis
@[simp]
theorem trace_algebraMap (x : K) : trace K L (algebraMap K L x) = finrank K L • x := by
by_cases H : ∃ s : Finset L, Nonempty (Basis s K L)
· rw [trace_algebraMap_of_basis H.choose_spec.some, finrank_eq_card_basis H.choose_spec.some]
· simp [trace_eq_zero_of_not_exists_basis K H, finrank_eq_zero_of_not_exists_basis_finset H]
#align algebra.trace_algebra_map Algebra.trace_algebraMap
theorem trace_trace_of_basis [Algebra S T] [IsScalarTower R S T] {ι κ : Type*} [Finite ι]
[Finite κ] (b : Basis ι R S) (c : Basis κ S T) (x : T) :
trace R S (trace S T x) = trace R T x := by
haveI := Classical.decEq ι
haveI := Classical.decEq κ
cases nonempty_fintype ι
cases nonempty_fintype κ
rw [trace_eq_matrix_trace (b.smul c), trace_eq_matrix_trace b, trace_eq_matrix_trace c,
Matrix.trace, Matrix.trace, Matrix.trace, ← Finset.univ_product_univ, Finset.sum_product]
refine Finset.sum_congr rfl fun i _ ↦ ?_
simp only [AlgHom.map_sum, smul_leftMulMatrix, Finset.sum_apply,
Matrix.diag, Finset.sum_apply
i (Finset.univ : Finset κ) fun y => leftMulMatrix b (leftMulMatrix c x y y)]
#align algebra.trace_trace_of_basis Algebra.trace_trace_of_basis
theorem trace_comp_trace_of_basis [Algebra S T] [IsScalarTower R S T] {ι κ : Type*} [Finite ι]
[Finite κ] (b : Basis ι R S) (c : Basis κ S T) :
(trace R S).comp ((trace S T).restrictScalars R) = trace R T := by
ext
rw [LinearMap.comp_apply, LinearMap.restrictScalars_apply, trace_trace_of_basis b c]
#align algebra.trace_comp_trace_of_basis Algebra.trace_comp_trace_of_basis
@[simp]
theorem trace_trace [Algebra K T] [Algebra L T] [IsScalarTower K L T] [FiniteDimensional K L]
[FiniteDimensional L T] (x : T) : trace K L (trace L T x) = trace K T x :=
trace_trace_of_basis (Basis.ofVectorSpace K L) (Basis.ofVectorSpace L T) x
#align algebra.trace_trace Algebra.trace_trace
@[simp]
theorem trace_comp_trace [Algebra K T] [Algebra L T] [IsScalarTower K L T] [FiniteDimensional K L]
[FiniteDimensional L T] : (trace K L).comp ((trace L T).restrictScalars K) = trace K T := by
ext; rw [LinearMap.comp_apply, LinearMap.restrictScalars_apply, trace_trace]
#align algebra.trace_comp_trace Algebra.trace_comp_trace
@[simp]
theorem trace_prod_apply [Module.Free R S] [Module.Free R T] [Module.Finite R S] [Module.Finite R T]
(x : S × T) : trace R (S × T) x = trace R S x.fst + trace R T x.snd := by
nontriviality R
let f := (lmul R S).toLinearMap.prodMap (lmul R T).toLinearMap
have : (lmul R (S × T)).toLinearMap = (prodMapLinear R S T S T R).comp f :=
LinearMap.ext₂ Prod.mul_def
simp_rw [trace, this]
exact trace_prodMap' _ _
#align algebra.trace_prod_apply Algebra.trace_prod_apply
theorem trace_prod [Module.Free R S] [Module.Free R T] [Module.Finite R S] [Module.Finite R T] :
trace R (S × T) = (trace R S).coprod (trace R T) :=
LinearMap.ext fun p => by rw [coprod_apply, trace_prod_apply]
#align algebra.trace_prod Algebra.trace_prod
section TraceForm
variable (R S)
noncomputable def traceForm : BilinForm R S :=
LinearMap.compr₂ (lmul R S).toLinearMap (trace R S)
#align algebra.trace_form Algebra.traceForm
variable {S}
-- This is a nicer lemma than the one produced by `@[simps] def traceForm`.
@[simp]
theorem traceForm_apply (x y : S) : traceForm R S x y = trace R S (x * y) :=
rfl
#align algebra.trace_form_apply Algebra.traceForm_apply
theorem traceForm_isSymm : (traceForm R S).IsSymm := fun _ _ => congr_arg (trace R S) (mul_comm _ _)
#align algebra.trace_form_is_symm Algebra.traceForm_isSymm
| Mathlib/RingTheory/Trace.lean | 205 | 207 | theorem traceForm_toMatrix [DecidableEq ι] (i j) :
BilinForm.toMatrix b (traceForm R S) i j = trace R S (b i * b j) := by |
rw [BilinForm.toMatrix_apply, traceForm_apply]
|
import Batteries.Data.List.Count
import Batteries.Data.Fin.Lemmas
open Nat Function
namespace List
theorem rel_of_pairwise_cons (p : (a :: l).Pairwise R) : ∀ {a'}, a' ∈ l → R a a' :=
(pairwise_cons.1 p).1 _
theorem Pairwise.of_cons (p : (a :: l).Pairwise R) : Pairwise R l :=
(pairwise_cons.1 p).2
theorem Pairwise.tail : ∀ {l : List α} (_p : Pairwise R l), Pairwise R l.tail
| [], h => h
| _ :: _, h => h.of_cons
theorem Pairwise.drop : ∀ {l : List α} {n : Nat}, List.Pairwise R l → List.Pairwise R (l.drop n)
| _, 0, h => h
| [], _ + 1, _ => List.Pairwise.nil
| _ :: _, n + 1, h => Pairwise.drop (n := n) (pairwise_cons.mp h).right
| .lake/packages/batteries/Batteries/Data/List/Pairwise.lean | 48 | 55 | theorem Pairwise.imp_of_mem {S : α → α → Prop}
(H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : Pairwise R l) : Pairwise S l := by |
induction p with
| nil => constructor
| @cons a l r _ ih =>
constructor
· exact fun x h => H (mem_cons_self ..) (mem_cons_of_mem _ h) <| r x h
· exact ih fun m m' => H (mem_cons_of_mem _ m) (mem_cons_of_mem _ m')
|
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
| Mathlib/RingTheory/PowerSeries/Basic.lean | 249 | 250 | 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]
|
import Mathlib.Data.Set.Image
import Mathlib.Data.SProd
#align_import data.set.prod from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4"
open Function
namespace Set
section Prod
variable {α β γ δ : Type*} {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {a : α} {b : β}
theorem Subsingleton.prod (hs : s.Subsingleton) (ht : t.Subsingleton) :
(s ×ˢ t).Subsingleton := fun _x hx _y hy ↦
Prod.ext (hs hx.1 hy.1) (ht hx.2 hy.2)
noncomputable instance decidableMemProd [DecidablePred (· ∈ s)] [DecidablePred (· ∈ t)] :
DecidablePred (· ∈ s ×ˢ t) := fun _ => And.decidable
#align set.decidable_mem_prod Set.decidableMemProd
@[gcongr]
theorem prod_mono (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) : s₁ ×ˢ t₁ ⊆ s₂ ×ˢ t₂ :=
fun _ ⟨h₁, h₂⟩ => ⟨hs h₁, ht h₂⟩
#align set.prod_mono Set.prod_mono
@[gcongr]
theorem prod_mono_left (hs : s₁ ⊆ s₂) : s₁ ×ˢ t ⊆ s₂ ×ˢ t :=
prod_mono hs Subset.rfl
#align set.prod_mono_left Set.prod_mono_left
@[gcongr]
theorem prod_mono_right (ht : t₁ ⊆ t₂) : s ×ˢ t₁ ⊆ s ×ˢ t₂ :=
prod_mono Subset.rfl ht
#align set.prod_mono_right Set.prod_mono_right
@[simp]
theorem prod_self_subset_prod_self : s₁ ×ˢ s₁ ⊆ s₂ ×ˢ s₂ ↔ s₁ ⊆ s₂ :=
⟨fun h _ hx => (h (mk_mem_prod hx hx)).1, fun h _ hx => ⟨h hx.1, h hx.2⟩⟩
#align set.prod_self_subset_prod_self Set.prod_self_subset_prod_self
@[simp]
theorem prod_self_ssubset_prod_self : s₁ ×ˢ s₁ ⊂ s₂ ×ˢ s₂ ↔ s₁ ⊂ s₂ :=
and_congr prod_self_subset_prod_self <| not_congr prod_self_subset_prod_self
#align set.prod_self_ssubset_prod_self Set.prod_self_ssubset_prod_self
theorem prod_subset_iff {P : Set (α × β)} : s ×ˢ t ⊆ P ↔ ∀ x ∈ s, ∀ y ∈ t, (x, y) ∈ P :=
⟨fun h _ hx _ hy => h (mk_mem_prod hx hy), fun h ⟨_, _⟩ hp => h _ hp.1 _ hp.2⟩
#align set.prod_subset_iff Set.prod_subset_iff
theorem forall_prod_set {p : α × β → Prop} : (∀ x ∈ s ×ˢ t, p x) ↔ ∀ x ∈ s, ∀ y ∈ t, p (x, y) :=
prod_subset_iff
#align set.forall_prod_set Set.forall_prod_set
theorem exists_prod_set {p : α × β → Prop} : (∃ x ∈ s ×ˢ t, p x) ↔ ∃ x ∈ s, ∃ y ∈ t, p (x, y) := by
simp [and_assoc]
#align set.exists_prod_set Set.exists_prod_set
@[simp]
theorem prod_empty : s ×ˢ (∅ : Set β) = ∅ := by
ext
exact and_false_iff _
#align set.prod_empty Set.prod_empty
@[simp]
theorem empty_prod : (∅ : Set α) ×ˢ t = ∅ := by
ext
exact false_and_iff _
#align set.empty_prod Set.empty_prod
@[simp, mfld_simps]
theorem univ_prod_univ : @univ α ×ˢ @univ β = univ := by
ext
exact true_and_iff _
#align set.univ_prod_univ Set.univ_prod_univ
theorem univ_prod {t : Set β} : (univ : Set α) ×ˢ t = Prod.snd ⁻¹' t := by simp [prod_eq]
#align set.univ_prod Set.univ_prod
theorem prod_univ {s : Set α} : s ×ˢ (univ : Set β) = Prod.fst ⁻¹' s := by simp [prod_eq]
#align set.prod_univ Set.prod_univ
@[simp] lemma prod_eq_univ [Nonempty α] [Nonempty β] : s ×ˢ t = univ ↔ s = univ ∧ t = univ := by
simp [eq_univ_iff_forall, forall_and]
@[simp]
theorem singleton_prod : ({a} : Set α) ×ˢ t = Prod.mk a '' t := by
ext ⟨x, y⟩
simp [and_left_comm, eq_comm]
#align set.singleton_prod Set.singleton_prod
@[simp]
theorem prod_singleton : s ×ˢ ({b} : Set β) = (fun a => (a, b)) '' s := by
ext ⟨x, y⟩
simp [and_left_comm, eq_comm]
#align set.prod_singleton Set.prod_singleton
theorem singleton_prod_singleton : ({a} : Set α) ×ˢ ({b} : Set β) = {(a, b)} := by simp
#align set.singleton_prod_singleton Set.singleton_prod_singleton
@[simp]
theorem union_prod : (s₁ ∪ s₂) ×ˢ t = s₁ ×ˢ t ∪ s₂ ×ˢ t := by
ext ⟨x, y⟩
simp [or_and_right]
#align set.union_prod Set.union_prod
@[simp]
theorem prod_union : s ×ˢ (t₁ ∪ t₂) = s ×ˢ t₁ ∪ s ×ˢ t₂ := by
ext ⟨x, y⟩
simp [and_or_left]
#align set.prod_union Set.prod_union
theorem inter_prod : (s₁ ∩ s₂) ×ˢ t = s₁ ×ˢ t ∩ s₂ ×ˢ t := by
ext ⟨x, y⟩
simp only [← and_and_right, mem_inter_iff, mem_prod]
#align set.inter_prod Set.inter_prod
theorem prod_inter : s ×ˢ (t₁ ∩ t₂) = s ×ˢ t₁ ∩ s ×ˢ t₂ := by
ext ⟨x, y⟩
simp only [← and_and_left, mem_inter_iff, mem_prod]
#align set.prod_inter Set.prod_inter
@[mfld_simps]
theorem prod_inter_prod : s₁ ×ˢ t₁ ∩ s₂ ×ˢ t₂ = (s₁ ∩ s₂) ×ˢ (t₁ ∩ t₂) := by
ext ⟨x, y⟩
simp [and_assoc, and_left_comm]
#align set.prod_inter_prod Set.prod_inter_prod
lemma compl_prod_eq_union {α β : Type*} (s : Set α) (t : Set β) :
(s ×ˢ t)ᶜ = (sᶜ ×ˢ univ) ∪ (univ ×ˢ tᶜ) := by
ext p
simp only [mem_compl_iff, mem_prod, not_and, mem_union, mem_univ, and_true, true_and]
constructor <;> intro h
· by_cases fst_in_s : p.fst ∈ s
· exact Or.inr (h fst_in_s)
· exact Or.inl fst_in_s
· intro fst_in_s
simpa only [fst_in_s, not_true, false_or] using h
@[simp]
theorem disjoint_prod : Disjoint (s₁ ×ˢ t₁) (s₂ ×ˢ t₂) ↔ Disjoint s₁ s₂ ∨ Disjoint t₁ t₂ := by
simp_rw [disjoint_left, mem_prod, not_and_or, Prod.forall, and_imp, ← @forall_or_right α, ←
@forall_or_left β, ← @forall_or_right (_ ∈ s₁), ← @forall_or_left (_ ∈ t₁)]
#align set.disjoint_prod Set.disjoint_prod
theorem Disjoint.set_prod_left (hs : Disjoint s₁ s₂) (t₁ t₂ : Set β) :
Disjoint (s₁ ×ˢ t₁) (s₂ ×ˢ t₂) :=
disjoint_left.2 fun ⟨_a, _b⟩ ⟨ha₁, _⟩ ⟨ha₂, _⟩ => disjoint_left.1 hs ha₁ ha₂
#align set.disjoint.set_prod_left Set.Disjoint.set_prod_left
theorem Disjoint.set_prod_right (ht : Disjoint t₁ t₂) (s₁ s₂ : Set α) :
Disjoint (s₁ ×ˢ t₁) (s₂ ×ˢ t₂) :=
disjoint_left.2 fun ⟨_a, _b⟩ ⟨_, hb₁⟩ ⟨_, hb₂⟩ => disjoint_left.1 ht hb₁ hb₂
#align set.disjoint.set_prod_right Set.Disjoint.set_prod_right
theorem insert_prod : insert a s ×ˢ t = Prod.mk a '' t ∪ s ×ˢ t := by
ext ⟨x, y⟩
simp (config := { contextual := true }) [image, iff_def, or_imp]
#align set.insert_prod Set.insert_prod
theorem prod_insert : s ×ˢ insert b t = (fun a => (a, b)) '' s ∪ s ×ˢ t := by
ext ⟨x, y⟩
-- porting note (#10745):
-- was `simp (config := { contextual := true }) [image, iff_def, or_imp, Imp.swap]`
simp only [mem_prod, mem_insert_iff, image, mem_union, mem_setOf_eq, Prod.mk.injEq]
refine ⟨fun h => ?_, fun h => ?_⟩
· obtain ⟨hx, rfl|hy⟩ := h
· exact Or.inl ⟨x, hx, rfl, rfl⟩
· exact Or.inr ⟨hx, hy⟩
· obtain ⟨x, hx, rfl, rfl⟩|⟨hx, hy⟩ := h
· exact ⟨hx, Or.inl rfl⟩
· exact ⟨hx, Or.inr hy⟩
#align set.prod_insert Set.prod_insert
theorem prod_preimage_eq {f : γ → α} {g : δ → β} :
(f ⁻¹' s) ×ˢ (g ⁻¹' t) = (fun p : γ × δ => (f p.1, g p.2)) ⁻¹' s ×ˢ t :=
rfl
#align set.prod_preimage_eq Set.prod_preimage_eq
theorem prod_preimage_left {f : γ → α} :
(f ⁻¹' s) ×ˢ t = (fun p : γ × β => (f p.1, p.2)) ⁻¹' s ×ˢ t :=
rfl
#align set.prod_preimage_left Set.prod_preimage_left
theorem prod_preimage_right {g : δ → β} :
s ×ˢ (g ⁻¹' t) = (fun p : α × δ => (p.1, g p.2)) ⁻¹' s ×ˢ t :=
rfl
#align set.prod_preimage_right Set.prod_preimage_right
theorem preimage_prod_map_prod (f : α → β) (g : γ → δ) (s : Set β) (t : Set δ) :
Prod.map f g ⁻¹' s ×ˢ t = (f ⁻¹' s) ×ˢ (g ⁻¹' t) :=
rfl
#align set.preimage_prod_map_prod Set.preimage_prod_map_prod
theorem mk_preimage_prod (f : γ → α) (g : γ → β) :
(fun x => (f x, g x)) ⁻¹' s ×ˢ t = f ⁻¹' s ∩ g ⁻¹' t :=
rfl
#align set.mk_preimage_prod Set.mk_preimage_prod
@[simp]
theorem mk_preimage_prod_left (hb : b ∈ t) : (fun a => (a, b)) ⁻¹' s ×ˢ t = s := by
ext a
simp [hb]
#align set.mk_preimage_prod_left Set.mk_preimage_prod_left
@[simp]
theorem mk_preimage_prod_right (ha : a ∈ s) : Prod.mk a ⁻¹' s ×ˢ t = t := by
ext b
simp [ha]
#align set.mk_preimage_prod_right Set.mk_preimage_prod_right
@[simp]
theorem mk_preimage_prod_left_eq_empty (hb : b ∉ t) : (fun a => (a, b)) ⁻¹' s ×ˢ t = ∅ := by
ext a
simp [hb]
#align set.mk_preimage_prod_left_eq_empty Set.mk_preimage_prod_left_eq_empty
@[simp]
theorem mk_preimage_prod_right_eq_empty (ha : a ∉ s) : Prod.mk a ⁻¹' s ×ˢ t = ∅ := by
ext b
simp [ha]
#align set.mk_preimage_prod_right_eq_empty Set.mk_preimage_prod_right_eq_empty
theorem mk_preimage_prod_left_eq_if [DecidablePred (· ∈ t)] :
(fun a => (a, b)) ⁻¹' s ×ˢ t = if b ∈ t then s else ∅ := by split_ifs with h <;> simp [h]
#align set.mk_preimage_prod_left_eq_if Set.mk_preimage_prod_left_eq_if
theorem mk_preimage_prod_right_eq_if [DecidablePred (· ∈ s)] :
Prod.mk a ⁻¹' s ×ˢ t = if a ∈ s then t else ∅ := by split_ifs with h <;> simp [h]
#align set.mk_preimage_prod_right_eq_if Set.mk_preimage_prod_right_eq_if
theorem mk_preimage_prod_left_fn_eq_if [DecidablePred (· ∈ t)] (f : γ → α) :
(fun a => (f a, b)) ⁻¹' s ×ˢ t = if b ∈ t then f ⁻¹' s else ∅ := by
rw [← mk_preimage_prod_left_eq_if, prod_preimage_left, preimage_preimage]
#align set.mk_preimage_prod_left_fn_eq_if Set.mk_preimage_prod_left_fn_eq_if
theorem mk_preimage_prod_right_fn_eq_if [DecidablePred (· ∈ s)] (g : δ → β) :
(fun b => (a, g b)) ⁻¹' s ×ˢ t = if a ∈ s then g ⁻¹' t else ∅ := by
rw [← mk_preimage_prod_right_eq_if, prod_preimage_right, preimage_preimage]
#align set.mk_preimage_prod_right_fn_eq_if Set.mk_preimage_prod_right_fn_eq_if
@[simp]
theorem preimage_swap_prod (s : Set α) (t : Set β) : Prod.swap ⁻¹' s ×ˢ t = t ×ˢ s := by
ext ⟨x, y⟩
simp [and_comm]
#align set.preimage_swap_prod Set.preimage_swap_prod
@[simp]
| Mathlib/Data/Set/Prod.lean | 273 | 274 | theorem image_swap_prod (s : Set α) (t : Set β) : Prod.swap '' s ×ˢ t = t ×ˢ s := by |
rw [image_swap_eq_preimage_swap, preimage_swap_prod]
|
import Mathlib.CategoryTheory.Monoidal.Category
import Mathlib.CategoryTheory.Adjunction.FullyFaithful
import Mathlib.CategoryTheory.Products.Basic
#align_import category_theory.monoidal.functor from "leanprover-community/mathlib"@"3d7987cda72abc473c7cdbbb075170e9ac620042"
open CategoryTheory
universe v₁ v₂ v₃ u₁ u₂ u₃
open CategoryTheory.Category
open CategoryTheory.Functor
namespace CategoryTheory
section
open MonoidalCategory
variable (C : Type u₁) [Category.{v₁} C] [MonoidalCategory.{v₁} C] (D : Type u₂) [Category.{v₂} D]
[MonoidalCategory.{v₂} D]
-- The direction of `left_unitality` and `right_unitality` as simp lemmas may look strange:
-- remember the rule of thumb that component indices of natural transformations
-- "weigh more" than structural maps.
-- (However by this argument `associativity` is currently stated backwards!)
structure LaxMonoidalFunctor extends C ⥤ D where
ε : 𝟙_ D ⟶ obj (𝟙_ C)
μ : ∀ X Y : C, obj X ⊗ obj Y ⟶ obj (X ⊗ Y)
μ_natural_left :
∀ {X Y : C} (f : X ⟶ Y) (X' : C),
map f ▷ obj X' ≫ μ Y X' = μ X X' ≫ map (f ▷ X') := by
aesop_cat
μ_natural_right :
∀ {X Y : C} (X' : C) (f : X ⟶ Y) ,
obj X' ◁ map f ≫ μ X' Y = μ X' X ≫ map (X' ◁ f) := by
aesop_cat
associativity :
∀ X Y Z : C,
μ X Y ▷ obj Z ≫ μ (X ⊗ Y) Z ≫ map (α_ X Y Z).hom =
(α_ (obj X) (obj Y) (obj Z)).hom ≫ obj X ◁ μ Y Z ≫ μ X (Y ⊗ Z) := by
aesop_cat
-- unitality
left_unitality : ∀ X : C, (λ_ (obj X)).hom = ε ▷ obj X ≫ μ (𝟙_ C) X ≫ map (λ_ X).hom := by
aesop_cat
right_unitality : ∀ X : C, (ρ_ (obj X)).hom = obj X ◁ ε ≫ μ X (𝟙_ C) ≫ map (ρ_ X).hom := by
aesop_cat
#align category_theory.lax_monoidal_functor CategoryTheory.LaxMonoidalFunctor
-- Porting note (#11215): TODO: remove this configuration and use the default configuration.
-- We keep this to be consistent with Lean 3.
-- See also `initialize_simps_projections MonoidalFunctor` below.
-- This may require waiting on https://github.com/leanprover-community/mathlib4/pull/2936
initialize_simps_projections LaxMonoidalFunctor (+toFunctor, -obj, -map)
attribute [reassoc (attr := simp)] LaxMonoidalFunctor.μ_natural_left
attribute [reassoc (attr := simp)] LaxMonoidalFunctor.μ_natural_right
attribute [simp] LaxMonoidalFunctor.left_unitality
attribute [simp] LaxMonoidalFunctor.right_unitality
attribute [reassoc (attr := simp)] LaxMonoidalFunctor.associativity
-- When `rewrite_search` lands, add @[search] attributes to
-- LaxMonoidalFunctor.μ_natural LaxMonoidalFunctor.left_unitality
-- LaxMonoidalFunctor.right_unitality LaxMonoidalFunctor.associativity
section
variable {C D}
@[reassoc (attr := simp)]
theorem LaxMonoidalFunctor.μ_natural (F : LaxMonoidalFunctor C D) {X Y X' Y' : C}
(f : X ⟶ Y) (g : X' ⟶ Y') :
(F.map f ⊗ F.map g) ≫ F.μ Y Y' = F.μ X X' ≫ F.map (f ⊗ g) := by
simp [tensorHom_def]
@[simps]
def LaxMonoidalFunctor.ofTensorHom (F : C ⥤ D)
(ε : 𝟙_ D ⟶ F.obj (𝟙_ C))
(μ : ∀ X Y : C, F.obj X ⊗ F.obj Y ⟶ F.obj (X ⊗ Y))
(μ_natural :
∀ {X Y X' Y' : C} (f : X ⟶ Y) (g : X' ⟶ Y'),
(F.map f ⊗ F.map g) ≫ μ Y Y' = μ X X' ≫ F.map (f ⊗ g) := by
aesop_cat)
(associativity :
∀ X Y Z : C,
(μ X Y ⊗ 𝟙 (F.obj Z)) ≫ μ (X ⊗ Y) Z ≫ F.map (α_ X Y Z).hom =
(α_ (F.obj X) (F.obj Y) (F.obj Z)).hom ≫ (𝟙 (F.obj X) ⊗ μ Y Z) ≫ μ X (Y ⊗ Z) := by
aesop_cat)
(left_unitality :
∀ X : C, (λ_ (F.obj X)).hom = (ε ⊗ 𝟙 (F.obj X)) ≫ μ (𝟙_ C) X ≫ F.map (λ_ X).hom := by
aesop_cat)
(right_unitality :
∀ X : C, (ρ_ (F.obj X)).hom = (𝟙 (F.obj X) ⊗ ε) ≫ μ X (𝟙_ C) ≫ F.map (ρ_ X).hom := by
aesop_cat) :
LaxMonoidalFunctor C D where
obj := F.obj
map := F.map
map_id := F.map_id
map_comp := F.map_comp
ε := ε
μ := μ
μ_natural_left := fun f X' => by
simp_rw [← tensorHom_id, ← F.map_id, μ_natural]
μ_natural_right := fun X' f => by
simp_rw [← id_tensorHom, ← F.map_id, μ_natural]
associativity := fun X Y Z => by
simp_rw [← tensorHom_id, ← id_tensorHom, associativity]
left_unitality := fun X => by
simp_rw [← tensorHom_id, left_unitality]
right_unitality := fun X => by
simp_rw [← id_tensorHom, right_unitality]
@[reassoc (attr := simp)]
theorem LaxMonoidalFunctor.left_unitality_inv (F : LaxMonoidalFunctor C D) (X : C) :
(λ_ (F.obj X)).inv ≫ F.ε ▷ F.obj X ≫ F.μ (𝟙_ C) X = F.map (λ_ X).inv := by
rw [Iso.inv_comp_eq, F.left_unitality, Category.assoc, Category.assoc, ← F.toFunctor.map_comp,
Iso.hom_inv_id, F.toFunctor.map_id, comp_id]
#align category_theory.lax_monoidal_functor.left_unitality_inv CategoryTheory.LaxMonoidalFunctor.left_unitality_inv
@[reassoc (attr := simp)]
theorem LaxMonoidalFunctor.right_unitality_inv (F : LaxMonoidalFunctor C D) (X : C) :
(ρ_ (F.obj X)).inv ≫ F.obj X ◁ F.ε ≫ F.μ X (𝟙_ C) = F.map (ρ_ X).inv := by
rw [Iso.inv_comp_eq, F.right_unitality, Category.assoc, Category.assoc, ← F.toFunctor.map_comp,
Iso.hom_inv_id, F.toFunctor.map_id, comp_id]
#align category_theory.lax_monoidal_functor.right_unitality_inv CategoryTheory.LaxMonoidalFunctor.right_unitality_inv
@[reassoc (attr := simp)]
theorem LaxMonoidalFunctor.associativity_inv (F : LaxMonoidalFunctor C D) (X Y Z : C) :
F.obj X ◁ F.μ Y Z ≫ F.μ X (Y ⊗ Z) ≫ F.map (α_ X Y Z).inv =
(α_ (F.obj X) (F.obj Y) (F.obj Z)).inv ≫ F.μ X Y ▷ F.obj Z ≫ F.μ (X ⊗ Y) Z := by
rw [Iso.eq_inv_comp, ← F.associativity_assoc, ← F.toFunctor.map_comp, Iso.hom_inv_id,
F.toFunctor.map_id, comp_id]
#align category_theory.lax_monoidal_functor.associativity_inv CategoryTheory.LaxMonoidalFunctor.associativity_inv
end
structure OplaxMonoidalFunctor extends C ⥤ D where
η : obj (𝟙_ C) ⟶ 𝟙_ D
δ : ∀ X Y : C, obj (X ⊗ Y) ⟶ obj X ⊗ obj Y
δ_natural_left :
∀ {X Y : C} (f : X ⟶ Y) (X' : C),
δ X X' ≫ map f ▷ obj X' = map (f ▷ X') ≫ δ Y X' := by
aesop_cat
δ_natural_right :
∀ {X Y : C} (X' : C) (f : X ⟶ Y) ,
δ X' X ≫ obj X' ◁ map f = map (X' ◁ f) ≫ δ X' Y := by
aesop_cat
associativity :
∀ X Y Z : C,
δ (X ⊗ Y) Z ≫ δ X Y ▷ obj Z ≫ (α_ (obj X) (obj Y) (obj Z)).hom =
map (α_ X Y Z).hom ≫ δ X (Y ⊗ Z) ≫ obj X ◁ δ Y Z := by
aesop_cat
-- unitality
left_unitality : ∀ X : C, (λ_ (obj X)).inv = map (λ_ X).inv ≫ δ (𝟙_ C) X ≫ η ▷ obj X := by
aesop_cat
right_unitality : ∀ X : C, (ρ_ (obj X)).inv = map (ρ_ X).inv ≫ δ X (𝟙_ C) ≫ obj X ◁ η := by
aesop_cat
initialize_simps_projections OplaxMonoidalFunctor (+toFunctor, -obj, -map)
attribute [reassoc (attr := simp)] OplaxMonoidalFunctor.δ_natural_left
attribute [reassoc (attr := simp)] OplaxMonoidalFunctor.δ_natural_right
attribute [simp] OplaxMonoidalFunctor.left_unitality
attribute [simp] OplaxMonoidalFunctor.right_unitality
attribute [reassoc (attr := simp)] OplaxMonoidalFunctor.associativity
section
variable {C D}
@[reassoc (attr := simp)]
theorem OplaxMonoidalFunctor.δ_natural (F : OplaxMonoidalFunctor C D) {X Y X' Y' : C}
(f : X ⟶ Y) (g : X' ⟶ Y') :
F.δ X X' ≫ (F.map f ⊗ F.map g) = F.map (f ⊗ g) ≫ F.δ Y Y' := by
simp [tensorHom_def]
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Monoidal/Functor.lean | 237 | 240 | theorem OplaxMonoidalFunctor.left_unitality_hom (F : OplaxMonoidalFunctor C D) (X : C) :
F.δ (𝟙_ C) X ≫ F.η ▷ F.obj X ≫ (λ_ (F.obj X)).hom = F.map (λ_ X).hom := by |
rw [← Category.assoc, ← Iso.eq_comp_inv, F.left_unitality, ← Category.assoc,
← F.toFunctor.map_comp, Iso.hom_inv_id, F.toFunctor.map_id, id_comp]
|
import Mathlib.Algebra.Polynomial.Expand
import Mathlib.Algebra.Polynomial.Laurent
import Mathlib.LinearAlgebra.Matrix.Charpoly.Basic
import Mathlib.LinearAlgebra.Matrix.Reindex
import Mathlib.RingTheory.Polynomial.Nilpotent
#align_import linear_algebra.matrix.charpoly.coeff from "leanprover-community/mathlib"@"9745b093210e9dac443af24da9dba0f9e2b6c912"
noncomputable section
-- porting note: whenever there was `∏ i : n, X - C (M i i)`, I replaced it with
-- `∏ i : n, (X - C (M i i))`, since otherwise Lean would parse as `(∏ i : n, X) - C (M i i)`
universe u v w z
open Finset Matrix Polynomial
variable {R : Type u} [CommRing R]
variable {n G : Type v} [DecidableEq n] [Fintype n]
variable {α β : Type v} [DecidableEq α]
variable {M : Matrix n n R}
namespace Matrix
| Mathlib/LinearAlgebra/Matrix/Charpoly/Coeff.lean | 49 | 51 | theorem charmatrix_apply_natDegree [Nontrivial R] (i j : n) :
(charmatrix M i j).natDegree = ite (i = j) 1 0 := by |
by_cases h : i = j <;> simp [h, ← degree_eq_iff_natDegree_eq_of_pos (Nat.succ_pos 0)]
|
import Mathlib.Algebra.ContinuedFractions.Translations
#align_import algebra.continued_fractions.terminated_stable from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad"
namespace GeneralizedContinuedFraction
variable {K : Type*} {g : GeneralizedContinuedFraction K} {n m : ℕ}
theorem terminated_stable (n_le_m : n ≤ m) (terminated_at_n : g.TerminatedAt n) :
g.TerminatedAt m :=
g.s.terminated_stable n_le_m terminated_at_n
#align generalized_continued_fraction.terminated_stable GeneralizedContinuedFraction.terminated_stable
variable [DivisionRing K]
theorem continuantsAux_stable_step_of_terminated (terminated_at_n : g.TerminatedAt n) :
g.continuantsAux (n + 2) = g.continuantsAux (n + 1) := by
rw [terminatedAt_iff_s_none] at terminated_at_n
simp only [continuantsAux, Nat.add_eq, Nat.add_zero, terminated_at_n]
#align generalized_continued_fraction.continuants_aux_stable_step_of_terminated GeneralizedContinuedFraction.continuantsAux_stable_step_of_terminated
theorem continuantsAux_stable_of_terminated (n_lt_m : n < m) (terminated_at_n : g.TerminatedAt n) :
g.continuantsAux m = g.continuantsAux (n + 1) := by
refine Nat.le_induction rfl (fun k hnk hk => ?_) _ n_lt_m
rcases Nat.exists_eq_add_of_lt hnk with ⟨k, rfl⟩
refine (continuantsAux_stable_step_of_terminated ?_).trans hk
exact terminated_stable (Nat.le_add_right _ _) terminated_at_n
#align generalized_continued_fraction.continuants_aux_stable_of_terminated GeneralizedContinuedFraction.continuantsAux_stable_of_terminated
theorem convergents'Aux_stable_step_of_terminated {s : Stream'.Seq <| Pair K}
(terminated_at_n : s.TerminatedAt n) : convergents'Aux s (n + 1) = convergents'Aux s n := by
change s.get? n = none at terminated_at_n
induction n generalizing s with
| zero => simp only [convergents'Aux, terminated_at_n, Stream'.Seq.head]
| succ n IH =>
cases s_head_eq : s.head with
| none => simp only [convergents'Aux, s_head_eq]
| some gp_head =>
have : s.tail.TerminatedAt n := by
simp only [Stream'.Seq.TerminatedAt, s.get?_tail, terminated_at_n]
have := IH this
rw [convergents'Aux] at this
simp [this, Nat.add_eq, add_zero, convergents'Aux, s_head_eq]
#align generalized_continued_fraction.convergents'_aux_stable_step_of_terminated GeneralizedContinuedFraction.convergents'Aux_stable_step_of_terminated
theorem convergents'Aux_stable_of_terminated {s : Stream'.Seq <| Pair K} (n_le_m : n ≤ m)
(terminated_at_n : s.TerminatedAt n) : convergents'Aux s m = convergents'Aux s n := by
induction' n_le_m with m n_le_m IH
· rfl
· refine (convergents'Aux_stable_step_of_terminated ?_).trans IH
exact s.terminated_stable n_le_m terminated_at_n
#align generalized_continued_fraction.convergents'_aux_stable_of_terminated GeneralizedContinuedFraction.convergents'Aux_stable_of_terminated
theorem continuants_stable_of_terminated (n_le_m : n ≤ m) (terminated_at_n : g.TerminatedAt n) :
g.continuants m = g.continuants n := by
simp only [nth_cont_eq_succ_nth_cont_aux,
continuantsAux_stable_of_terminated (Nat.pred_le_iff.mp n_le_m) terminated_at_n]
#align generalized_continued_fraction.continuants_stable_of_terminated GeneralizedContinuedFraction.continuants_stable_of_terminated
theorem numerators_stable_of_terminated (n_le_m : n ≤ m) (terminated_at_n : g.TerminatedAt n) :
g.numerators m = g.numerators n := by
simp only [num_eq_conts_a, continuants_stable_of_terminated n_le_m terminated_at_n]
#align generalized_continued_fraction.numerators_stable_of_terminated GeneralizedContinuedFraction.numerators_stable_of_terminated
theorem denominators_stable_of_terminated (n_le_m : n ≤ m) (terminated_at_n : g.TerminatedAt n) :
g.denominators m = g.denominators n := by
simp only [denom_eq_conts_b, continuants_stable_of_terminated n_le_m terminated_at_n]
#align generalized_continued_fraction.denominators_stable_of_terminated GeneralizedContinuedFraction.denominators_stable_of_terminated
| Mathlib/Algebra/ContinuedFractions/TerminatedStable.lean | 85 | 88 | theorem convergents_stable_of_terminated (n_le_m : n ≤ m) (terminated_at_n : g.TerminatedAt n) :
g.convergents m = g.convergents n := by |
simp only [convergents, denominators_stable_of_terminated n_le_m terminated_at_n,
numerators_stable_of_terminated n_le_m terminated_at_n]
|
import Mathlib.Data.Matrix.Invertible
import Mathlib.LinearAlgebra.Matrix.Adjugate
import Mathlib.LinearAlgebra.FiniteDimensional
#align_import linear_algebra.matrix.nonsingular_inverse from "leanprover-community/mathlib"@"722b3b152ddd5e0cf21c0a29787c76596cb6b422"
namespace Matrix
universe u u' v
variable {l : Type*} {m : Type u} {n : Type u'} {α : Type v}
open Matrix Equiv Equiv.Perm Finset
section vecMul
variable [DecidableEq m] [DecidableEq n]
section Semiring
variable {R : Type*} [Semiring R]
theorem vecMul_surjective_iff_exists_left_inverse [Fintype m] [Finite n] {A : Matrix m n R} :
Function.Surjective A.vecMul ↔ ∃ B : Matrix n m R, B * A = 1 := by
cases nonempty_fintype n
refine ⟨fun h ↦ ?_, fun ⟨B, hBA⟩ y ↦ ⟨y ᵥ* B, by simp [hBA]⟩⟩
choose rows hrows using (h <| Pi.single · 1)
refine ⟨Matrix.of rows, Matrix.ext fun i j => ?_⟩
rw [mul_apply_eq_vecMul, one_eq_pi_single, ← hrows]
rfl
| Mathlib/LinearAlgebra/Matrix/NonsingularInverse.lean | 394 | 401 | theorem mulVec_surjective_iff_exists_right_inverse [Finite m] [Fintype n] {A : Matrix m n R} :
Function.Surjective A.mulVec ↔ ∃ B : Matrix n m R, A * B = 1 := by |
cases nonempty_fintype m
refine ⟨fun h ↦ ?_, fun ⟨B, hBA⟩ y ↦ ⟨B *ᵥ y, by simp [hBA]⟩⟩
choose cols hcols using (h <| Pi.single · 1)
refine ⟨(Matrix.of cols)ᵀ, Matrix.ext fun i j ↦ ?_⟩
rw [one_eq_pi_single, Pi.single_comm, ← hcols j]
rfl
|
import Mathlib.ModelTheory.ElementarySubstructures
#align_import model_theory.skolem from "leanprover-community/mathlib"@"3d7987cda72abc473c7cdbbb075170e9ac620042"
universe u v w w'
namespace FirstOrder
namespace Language
open Structure Cardinal
open Cardinal
variable (L : Language.{u, v}) {M : Type w} [Nonempty M] [L.Structure M]
@[simps]
def skolem₁ : Language :=
⟨fun n => L.BoundedFormula Empty (n + 1), fun _ => Empty⟩
#align first_order.language.skolem₁ FirstOrder.Language.skolem₁
#align first_order.language.skolem₁_functions FirstOrder.Language.skolem₁_Functions
variable {L}
theorem card_functions_sum_skolem₁ :
#(Σ n, (L.sum L.skolem₁).Functions n) = #(Σ n, L.BoundedFormula Empty (n + 1)) := by
simp only [card_functions_sum, skolem₁_Functions, mk_sigma, sum_add_distrib']
conv_lhs => enter [2, 1, i]; rw [lift_id'.{u, v}]
rw [add_comm, add_eq_max, max_eq_left]
· refine sum_le_sum _ _ fun n => ?_
rw [← lift_le.{_, max u v}, lift_lift, lift_mk_le.{v}]
refine ⟨⟨fun f => (func f default).bdEqual (func f default), fun f g h => ?_⟩⟩
rcases h with ⟨rfl, ⟨rfl⟩⟩
rfl
· rw [← mk_sigma]
exact infinite_iff.1 (Infinite.of_injective (fun n => ⟨n, ⊥⟩) fun x y xy =>
(Sigma.mk.inj_iff.1 xy).1)
#align first_order.language.card_functions_sum_skolem₁ FirstOrder.Language.card_functions_sum_skolem₁
theorem card_functions_sum_skolem₁_le : #(Σ n, (L.sum L.skolem₁).Functions n) ≤ max ℵ₀ L.card := by
rw [card_functions_sum_skolem₁]
trans #(Σ n, L.BoundedFormula Empty n)
· exact
⟨⟨Sigma.map Nat.succ fun _ => id,
Nat.succ_injective.sigma_map fun _ => Function.injective_id⟩⟩
· refine _root_.trans BoundedFormula.card_le (lift_le.{max u v}.1 ?_)
simp only [mk_empty, lift_zero, lift_uzero, zero_add]
rfl
#align first_order.language.card_functions_sum_skolem₁_le FirstOrder.Language.card_functions_sum_skolem₁_le
noncomputable instance skolem₁Structure : L.skolem₁.Structure M :=
⟨fun {_} φ x => Classical.epsilon fun a => φ.Realize default (Fin.snoc x a : _ → M), fun {_} r =>
Empty.elim r⟩
set_option linter.uppercaseLean3 false in
#align first_order.language.skolem₁_Structure FirstOrder.Language.skolem₁Structure
namespace Substructure
| Mathlib/ModelTheory/Skolem.lean | 86 | 95 | theorem skolem₁_reduct_isElementary (S : (L.sum L.skolem₁).Substructure M) :
(LHom.sumInl.substructureReduct S).IsElementary := by |
apply (LHom.sumInl.substructureReduct S).isElementary_of_exists
intro n φ x a h
let φ' : (L.sum L.skolem₁).Functions n := LHom.sumInr.onFunction φ
exact
⟨⟨funMap φ' ((↑) ∘ x), S.fun_mem (LHom.sumInr.onFunction φ) ((↑) ∘ x) (by
exact fun i => (x i).2)⟩,
by exact Classical.epsilon_spec (p := fun a => BoundedFormula.Realize φ default
(Fin.snoc (Subtype.val ∘ x) a)) ⟨a, h⟩⟩
|
import Mathlib.Analysis.Calculus.FDeriv.Basic
#align_import analysis.calculus.fderiv.comp 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 Composition
variable (x)
theorem HasFDerivAtFilter.comp {g : F → G} {g' : F →L[𝕜] G} {L' : Filter F}
(hg : HasFDerivAtFilter g g' (f x) L') (hf : HasFDerivAtFilter f f' x L) (hL : Tendsto f L L') :
HasFDerivAtFilter (g ∘ f) (g'.comp f') x L := by
let eq₁ := (g'.isBigO_comp _ _).trans_isLittleO hf.isLittleO
let eq₂ := (hg.isLittleO.comp_tendsto hL).trans_isBigO hf.isBigO_sub
refine .of_isLittleO <| eq₂.triangle <| eq₁.congr_left fun x' => ?_
simp
#align has_fderiv_at_filter.comp HasFDerivAtFilter.comp
example {g : F → G} {g' : F →L[𝕜] G} (hg : HasFDerivAtFilter g g' (f x) (L.map f))
(hf : HasFDerivAtFilter f f' x L) : HasFDerivAtFilter (g ∘ f) (g'.comp f') x L := by
have :=
calc
(fun x' => g (f x') - g (f x) - g' (f x' - f x)) =o[L] fun x' => f x' - f x :=
hg.isLittleO.comp_tendsto le_rfl
_ =O[L] fun x' => x' - x := hf.isBigO_sub
refine .of_isLittleO <| this.triangle ?_
calc
(fun x' : E => g' (f x' - f x) - g'.comp f' (x' - x))
_ =ᶠ[L] fun x' => g' (f x' - f x - f' (x' - x)) := eventually_of_forall fun x' => by simp
_ =O[L] fun x' => f x' - f x - f' (x' - x) := g'.isBigO_comp _ _
_ =o[L] fun x' => x' - x := hf.isLittleO
@[fun_prop]
theorem HasFDerivWithinAt.comp {g : F → G} {g' : F →L[𝕜] G} {t : Set F}
(hg : HasFDerivWithinAt g g' t (f x)) (hf : HasFDerivWithinAt f f' s x) (hst : MapsTo f s t) :
HasFDerivWithinAt (g ∘ f) (g'.comp f') s x :=
HasFDerivAtFilter.comp x hg hf <| hf.continuousWithinAt.tendsto_nhdsWithin hst
#align has_fderiv_within_at.comp HasFDerivWithinAt.comp
@[fun_prop]
theorem HasFDerivAt.comp_hasFDerivWithinAt {g : F → G} {g' : F →L[𝕜] G}
(hg : HasFDerivAt g g' (f x)) (hf : HasFDerivWithinAt f f' s x) :
HasFDerivWithinAt (g ∘ f) (g'.comp f') s x :=
hg.comp x hf hf.continuousWithinAt
#align has_fderiv_at.comp_has_fderiv_within_at HasFDerivAt.comp_hasFDerivWithinAt
@[fun_prop]
theorem HasFDerivWithinAt.comp_of_mem {g : F → G} {g' : F →L[𝕜] G} {t : Set F}
(hg : HasFDerivWithinAt g g' t (f x)) (hf : HasFDerivWithinAt f f' s x)
(hst : Tendsto f (𝓝[s] x) (𝓝[t] f x)) : HasFDerivWithinAt (g ∘ f) (g'.comp f') s x :=
HasFDerivAtFilter.comp x hg hf hst
#align has_fderiv_within_at.comp_of_mem HasFDerivWithinAt.comp_of_mem
@[fun_prop]
theorem HasFDerivAt.comp {g : F → G} {g' : F →L[𝕜] G} (hg : HasFDerivAt g g' (f x))
(hf : HasFDerivAt f f' x) : HasFDerivAt (g ∘ f) (g'.comp f') x :=
HasFDerivAtFilter.comp x hg hf hf.continuousAt
#align has_fderiv_at.comp HasFDerivAt.comp
@[fun_prop]
theorem DifferentiableWithinAt.comp {g : F → G} {t : Set F}
(hg : DifferentiableWithinAt 𝕜 g t (f x)) (hf : DifferentiableWithinAt 𝕜 f s x)
(h : MapsTo f s t) : DifferentiableWithinAt 𝕜 (g ∘ f) s x :=
(hg.hasFDerivWithinAt.comp x hf.hasFDerivWithinAt h).differentiableWithinAt
#align differentiable_within_at.comp DifferentiableWithinAt.comp
@[fun_prop]
theorem DifferentiableWithinAt.comp' {g : F → G} {t : Set F}
(hg : DifferentiableWithinAt 𝕜 g t (f x)) (hf : DifferentiableWithinAt 𝕜 f s x) :
DifferentiableWithinAt 𝕜 (g ∘ f) (s ∩ f ⁻¹' t) x :=
hg.comp x (hf.mono inter_subset_left) inter_subset_right
#align differentiable_within_at.comp' DifferentiableWithinAt.comp'
@[fun_prop]
theorem DifferentiableAt.comp {g : F → G} (hg : DifferentiableAt 𝕜 g (f x))
(hf : DifferentiableAt 𝕜 f x) : DifferentiableAt 𝕜 (g ∘ f) x :=
(hg.hasFDerivAt.comp x hf.hasFDerivAt).differentiableAt
#align differentiable_at.comp DifferentiableAt.comp
@[fun_prop]
theorem DifferentiableAt.comp_differentiableWithinAt {g : F → G} (hg : DifferentiableAt 𝕜 g (f x))
(hf : DifferentiableWithinAt 𝕜 f s x) : DifferentiableWithinAt 𝕜 (g ∘ f) s x :=
hg.differentiableWithinAt.comp x hf (mapsTo_univ _ _)
#align differentiable_at.comp_differentiable_within_at DifferentiableAt.comp_differentiableWithinAt
theorem fderivWithin.comp {g : F → G} {t : Set F} (hg : DifferentiableWithinAt 𝕜 g t (f x))
(hf : DifferentiableWithinAt 𝕜 f s x) (h : MapsTo f s t) (hxs : UniqueDiffWithinAt 𝕜 s x) :
fderivWithin 𝕜 (g ∘ f) s x = (fderivWithin 𝕜 g t (f x)).comp (fderivWithin 𝕜 f s x) :=
(hg.hasFDerivWithinAt.comp x hf.hasFDerivWithinAt h).fderivWithin hxs
#align fderiv_within.comp fderivWithin.comp
theorem fderivWithin_fderivWithin {g : F → G} {f : E → F} {x : E} {y : F} {s : Set E} {t : Set F}
(hg : DifferentiableWithinAt 𝕜 g t y) (hf : DifferentiableWithinAt 𝕜 f s x) (h : MapsTo f s t)
(hxs : UniqueDiffWithinAt 𝕜 s x) (hy : f x = y) (v : E) :
fderivWithin 𝕜 g t y (fderivWithin 𝕜 f s x v) = fderivWithin 𝕜 (g ∘ f) s x v := by
subst y
rw [fderivWithin.comp x hg hf h hxs, coe_comp', Function.comp_apply]
#align fderiv_within_fderiv_within fderivWithin_fderivWithin
| Mathlib/Analysis/Calculus/FDeriv/Comp.lean | 149 | 157 | theorem fderivWithin.comp₃ {g' : G → G'} {g : F → G} {t : Set F} {u : Set G} {y : F} {y' : G}
(hg' : DifferentiableWithinAt 𝕜 g' u y') (hg : DifferentiableWithinAt 𝕜 g t y)
(hf : DifferentiableWithinAt 𝕜 f s x) (h2g : MapsTo g t u) (h2f : MapsTo f s t) (h3g : g y = y')
(h3f : f x = y) (hxs : UniqueDiffWithinAt 𝕜 s x) :
fderivWithin 𝕜 (g' ∘ g ∘ f) s x =
(fderivWithin 𝕜 g' u y').comp ((fderivWithin 𝕜 g t y).comp (fderivWithin 𝕜 f s x)) := by |
substs h3g h3f
exact (hg'.hasFDerivWithinAt.comp x (hg.hasFDerivWithinAt.comp x hf.hasFDerivWithinAt h2f) <|
h2g.comp h2f).fderivWithin hxs
|
import Mathlib.Order.CompleteLattice
import Mathlib.Order.Cover
import Mathlib.Order.Iterate
import Mathlib.Order.WellFounded
#align_import order.succ_pred.basic from "leanprover-community/mathlib"@"0111834459f5d7400215223ea95ae38a1265a907"
open Function OrderDual Set
variable {α β : Type*}
@[ext]
class SuccOrder (α : Type*) [Preorder α] where
succ : α → α
le_succ : ∀ a, a ≤ succ a
max_of_succ_le {a} : succ a ≤ a → IsMax a
succ_le_of_lt {a b} : a < b → succ a ≤ b
le_of_lt_succ {a b} : a < succ b → a ≤ b
#align succ_order SuccOrder
#align succ_order.ext_iff SuccOrder.ext_iff
#align succ_order.ext SuccOrder.ext
@[ext]
class PredOrder (α : Type*) [Preorder α] where
pred : α → α
pred_le : ∀ a, pred a ≤ a
min_of_le_pred {a} : a ≤ pred a → IsMin a
le_pred_of_lt {a b} : a < b → a ≤ pred b
le_of_pred_lt {a b} : pred a < b → a ≤ b
#align pred_order PredOrder
#align pred_order.ext PredOrder.ext
#align pred_order.ext_iff PredOrder.ext_iff
instance [Preorder α] [SuccOrder α] :
PredOrder αᵒᵈ where
pred := toDual ∘ SuccOrder.succ ∘ ofDual
pred_le := by
simp only [comp, OrderDual.forall, ofDual_toDual, toDual_le_toDual,
SuccOrder.le_succ, implies_true]
min_of_le_pred h := by apply SuccOrder.max_of_succ_le h
le_pred_of_lt := by intro a b h; exact SuccOrder.succ_le_of_lt h
le_of_pred_lt := SuccOrder.le_of_lt_succ
instance [Preorder α] [PredOrder α] :
SuccOrder αᵒᵈ where
succ := toDual ∘ PredOrder.pred ∘ ofDual
le_succ := by
simp only [comp, OrderDual.forall, ofDual_toDual, toDual_le_toDual,
PredOrder.pred_le, implies_true]
max_of_succ_le h := by apply PredOrder.min_of_le_pred h
succ_le_of_lt := by intro a b h; exact PredOrder.le_pred_of_lt h
le_of_lt_succ := PredOrder.le_of_pred_lt
namespace Order
section Preorder
variable [Preorder α] [SuccOrder α] {a b : α}
def succ : α → α :=
SuccOrder.succ
#align order.succ Order.succ
theorem le_succ : ∀ a : α, a ≤ succ a :=
SuccOrder.le_succ
#align order.le_succ Order.le_succ
theorem max_of_succ_le {a : α} : succ a ≤ a → IsMax a :=
SuccOrder.max_of_succ_le
#align order.max_of_succ_le Order.max_of_succ_le
theorem succ_le_of_lt {a b : α} : a < b → succ a ≤ b :=
SuccOrder.succ_le_of_lt
#align order.succ_le_of_lt Order.succ_le_of_lt
theorem le_of_lt_succ {a b : α} : a < succ b → a ≤ b :=
SuccOrder.le_of_lt_succ
#align order.le_of_lt_succ Order.le_of_lt_succ
@[simp]
theorem succ_le_iff_isMax : succ a ≤ a ↔ IsMax a :=
⟨max_of_succ_le, fun h => h <| le_succ _⟩
#align order.succ_le_iff_is_max Order.succ_le_iff_isMax
@[simp]
theorem lt_succ_iff_not_isMax : a < succ a ↔ ¬IsMax a :=
⟨not_isMax_of_lt, fun ha => (le_succ a).lt_of_not_le fun h => ha <| max_of_succ_le h⟩
#align order.lt_succ_iff_not_is_max Order.lt_succ_iff_not_isMax
alias ⟨_, lt_succ_of_not_isMax⟩ := lt_succ_iff_not_isMax
#align order.lt_succ_of_not_is_max Order.lt_succ_of_not_isMax
theorem wcovBy_succ (a : α) : a ⩿ succ a :=
⟨le_succ a, fun _ hb => (succ_le_of_lt hb).not_lt⟩
#align order.wcovby_succ Order.wcovBy_succ
theorem covBy_succ_of_not_isMax (h : ¬IsMax a) : a ⋖ succ a :=
(wcovBy_succ a).covBy_of_lt <| lt_succ_of_not_isMax h
#align order.covby_succ_of_not_is_max Order.covBy_succ_of_not_isMax
theorem lt_succ_iff_of_not_isMax (ha : ¬IsMax a) : b < succ a ↔ b ≤ a :=
⟨le_of_lt_succ, fun h => h.trans_lt <| lt_succ_of_not_isMax ha⟩
#align order.lt_succ_iff_of_not_is_max Order.lt_succ_iff_of_not_isMax
theorem succ_le_iff_of_not_isMax (ha : ¬IsMax a) : succ a ≤ b ↔ a < b :=
⟨(lt_succ_of_not_isMax ha).trans_le, succ_le_of_lt⟩
#align order.succ_le_iff_of_not_is_max Order.succ_le_iff_of_not_isMax
lemma succ_lt_succ_of_not_isMax (h : a < b) (hb : ¬ IsMax b) : succ a < succ b :=
(lt_succ_iff_of_not_isMax hb).2 <| succ_le_of_lt h
theorem succ_lt_succ_iff_of_not_isMax (ha : ¬IsMax a) (hb : ¬IsMax b) :
succ a < succ b ↔ a < b := by
rw [lt_succ_iff_of_not_isMax hb, succ_le_iff_of_not_isMax ha]
#align order.succ_lt_succ_iff_of_not_is_max Order.succ_lt_succ_iff_of_not_isMax
theorem succ_le_succ_iff_of_not_isMax (ha : ¬IsMax a) (hb : ¬IsMax b) :
succ a ≤ succ b ↔ a ≤ b := by
rw [succ_le_iff_of_not_isMax ha, lt_succ_iff_of_not_isMax hb]
#align order.succ_le_succ_iff_of_not_is_max Order.succ_le_succ_iff_of_not_isMax
@[simp, mono]
theorem succ_le_succ (h : a ≤ b) : succ a ≤ succ b := by
by_cases hb : IsMax b
· by_cases hba : b ≤ a
· exact (hb <| hba.trans <| le_succ _).trans (le_succ _)
· exact succ_le_of_lt ((h.lt_of_not_le hba).trans_le <| le_succ b)
· rwa [succ_le_iff_of_not_isMax fun ha => hb <| ha.mono h, lt_succ_iff_of_not_isMax hb]
#align order.succ_le_succ Order.succ_le_succ
theorem succ_mono : Monotone (succ : α → α) := fun _ _ => succ_le_succ
#align order.succ_mono Order.succ_mono
theorem le_succ_iterate (k : ℕ) (x : α) : x ≤ succ^[k] x := by
conv_lhs => rw [(by simp only [Function.iterate_id, id] : x = id^[k] x)]
exact Monotone.le_iterate_of_le succ_mono le_succ k x
#align order.le_succ_iterate Order.le_succ_iterate
theorem isMax_iterate_succ_of_eq_of_lt {n m : ℕ} (h_eq : succ^[n] a = succ^[m] a)
(h_lt : n < m) : IsMax (succ^[n] a) := by
refine max_of_succ_le (le_trans ?_ h_eq.symm.le)
have : succ (succ^[n] a) = succ^[n + 1] a := by rw [Function.iterate_succ', comp]
rw [this]
have h_le : n + 1 ≤ m := Nat.succ_le_of_lt h_lt
exact Monotone.monotone_iterate_of_le_map succ_mono (le_succ a) h_le
#align order.is_max_iterate_succ_of_eq_of_lt Order.isMax_iterate_succ_of_eq_of_lt
theorem isMax_iterate_succ_of_eq_of_ne {n m : ℕ} (h_eq : succ^[n] a = succ^[m] a)
(h_ne : n ≠ m) : IsMax (succ^[n] a) := by
rcases le_total n m with h | h
· exact isMax_iterate_succ_of_eq_of_lt h_eq (lt_of_le_of_ne h h_ne)
· rw [h_eq]
exact isMax_iterate_succ_of_eq_of_lt h_eq.symm (lt_of_le_of_ne h h_ne.symm)
#align order.is_max_iterate_succ_of_eq_of_ne Order.isMax_iterate_succ_of_eq_of_ne
theorem Iio_succ_of_not_isMax (ha : ¬IsMax a) : Iio (succ a) = Iic a :=
Set.ext fun _ => lt_succ_iff_of_not_isMax ha
#align order.Iio_succ_of_not_is_max Order.Iio_succ_of_not_isMax
theorem Ici_succ_of_not_isMax (ha : ¬IsMax a) : Ici (succ a) = Ioi a :=
Set.ext fun _ => succ_le_iff_of_not_isMax ha
#align order.Ici_succ_of_not_is_max Order.Ici_succ_of_not_isMax
theorem Ico_succ_right_of_not_isMax (hb : ¬IsMax b) : Ico a (succ b) = Icc a b := by
rw [← Ici_inter_Iio, Iio_succ_of_not_isMax hb, Ici_inter_Iic]
#align order.Ico_succ_right_of_not_is_max Order.Ico_succ_right_of_not_isMax
theorem Ioo_succ_right_of_not_isMax (hb : ¬IsMax b) : Ioo a (succ b) = Ioc a b := by
rw [← Ioi_inter_Iio, Iio_succ_of_not_isMax hb, Ioi_inter_Iic]
#align order.Ioo_succ_right_of_not_is_max Order.Ioo_succ_right_of_not_isMax
theorem Icc_succ_left_of_not_isMax (ha : ¬IsMax a) : Icc (succ a) b = Ioc a b := by
rw [← Ici_inter_Iic, Ici_succ_of_not_isMax ha, Ioi_inter_Iic]
#align order.Icc_succ_left_of_not_is_max Order.Icc_succ_left_of_not_isMax
theorem Ico_succ_left_of_not_isMax (ha : ¬IsMax a) : Ico (succ a) b = Ioo a b := by
rw [← Ici_inter_Iio, Ici_succ_of_not_isMax ha, Ioi_inter_Iio]
#align order.Ico_succ_left_of_not_is_max Order.Ico_succ_left_of_not_isMax
section NoMaxOrder
variable [NoMaxOrder α]
theorem lt_succ (a : α) : a < succ a :=
lt_succ_of_not_isMax <| not_isMax a
#align order.lt_succ Order.lt_succ
@[simp]
theorem lt_succ_iff : a < succ b ↔ a ≤ b :=
lt_succ_iff_of_not_isMax <| not_isMax b
#align order.lt_succ_iff Order.lt_succ_iff
@[simp]
theorem succ_le_iff : succ a ≤ b ↔ a < b :=
succ_le_iff_of_not_isMax <| not_isMax a
#align order.succ_le_iff Order.succ_le_iff
theorem succ_le_succ_iff : succ a ≤ succ b ↔ a ≤ b := by simp
#align order.succ_le_succ_iff Order.succ_le_succ_iff
| Mathlib/Order/SuccPred/Basic.lean | 368 | 368 | theorem succ_lt_succ_iff : succ a < succ b ↔ a < b := by | simp
|
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Topology.Algebra.InfiniteSum.Order
import Mathlib.Topology.Instances.Real
import Mathlib.Topology.Instances.ENNReal
#align_import topology.algebra.infinite_sum.real from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd"
open Filter Finset NNReal Topology
variable {α β : Type*} [PseudoMetricSpace α] {f : ℕ → α} {a : α}
theorem cauchySeq_of_dist_le_of_summable (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n)
(hd : Summable d) : CauchySeq f := by
lift d to ℕ → ℝ≥0 using fun n ↦ dist_nonneg.trans (hf n)
apply cauchySeq_of_edist_le_of_summable d (α := α) (f := f)
· exact_mod_cast hf
· exact_mod_cast hd
#align cauchy_seq_of_dist_le_of_summable cauchySeq_of_dist_le_of_summable
theorem cauchySeq_of_summable_dist (h : Summable fun n ↦ dist (f n) (f n.succ)) : CauchySeq f :=
cauchySeq_of_dist_le_of_summable _ (fun _ ↦ le_rfl) h
#align cauchy_seq_of_summable_dist cauchySeq_of_summable_dist
theorem dist_le_tsum_of_dist_le_of_tendsto (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n)
(hd : Summable d) {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) :
dist (f n) a ≤ ∑' m, d (n + m) := by
refine le_of_tendsto (tendsto_const_nhds.dist ha) (eventually_atTop.2 ⟨n, fun m hnm ↦ ?_⟩)
refine le_trans (dist_le_Ico_sum_of_dist_le hnm fun _ _ ↦ hf _) ?_
rw [sum_Ico_eq_sum_range]
refine sum_le_tsum (range _) (fun _ _ ↦ le_trans dist_nonneg (hf _)) ?_
exact hd.comp_injective (add_right_injective n)
#align dist_le_tsum_of_dist_le_of_tendsto dist_le_tsum_of_dist_le_of_tendsto
theorem dist_le_tsum_of_dist_le_of_tendsto₀ (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n)
(hd : Summable d) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ tsum d := by
simpa only [zero_add] using dist_le_tsum_of_dist_le_of_tendsto d hf hd ha 0
#align dist_le_tsum_of_dist_le_of_tendsto₀ dist_le_tsum_of_dist_le_of_tendsto₀
theorem dist_le_tsum_dist_of_tendsto (h : Summable fun n ↦ dist (f n) (f n.succ))
(ha : Tendsto f atTop (𝓝 a)) (n) : dist (f n) a ≤ ∑' m, dist (f (n + m)) (f (n + m).succ) :=
show dist (f n) a ≤ ∑' m, (fun x ↦ dist (f x) (f x.succ)) (n + m) from
dist_le_tsum_of_dist_le_of_tendsto (fun n ↦ dist (f n) (f n.succ)) (fun _ ↦ le_rfl) h ha n
#align dist_le_tsum_dist_of_tendsto dist_le_tsum_dist_of_tendsto
theorem dist_le_tsum_dist_of_tendsto₀ (h : Summable fun n ↦ dist (f n) (f n.succ))
(ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ ∑' n, dist (f n) (f n.succ) := by
simpa only [zero_add] using dist_le_tsum_dist_of_tendsto h ha 0
#align dist_le_tsum_dist_of_tendsto₀ dist_le_tsum_dist_of_tendsto₀
section summable
theorem not_summable_iff_tendsto_nat_atTop_of_nonneg {f : ℕ → ℝ} (hf : ∀ n, 0 ≤ f n) :
¬Summable f ↔ Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by
lift f to ℕ → ℝ≥0 using hf
exact mod_cast NNReal.not_summable_iff_tendsto_nat_atTop
#align not_summable_iff_tendsto_nat_at_top_of_nonneg not_summable_iff_tendsto_nat_atTop_of_nonneg
theorem summable_iff_not_tendsto_nat_atTop_of_nonneg {f : ℕ → ℝ} (hf : ∀ n, 0 ≤ f n) :
Summable f ↔ ¬Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by
rw [← not_iff_not, Classical.not_not, not_summable_iff_tendsto_nat_atTop_of_nonneg hf]
#align summable_iff_not_tendsto_nat_at_top_of_nonneg summable_iff_not_tendsto_nat_atTop_of_nonneg
theorem summable_sigma_of_nonneg {β : α → Type*} {f : (Σ x, β x) → ℝ} (hf : ∀ x, 0 ≤ f x) :
Summable f ↔ (∀ x, Summable fun y => f ⟨x, y⟩) ∧ Summable fun x => ∑' y, f ⟨x, y⟩ := by
lift f to (Σx, β x) → ℝ≥0 using hf
exact mod_cast NNReal.summable_sigma
#align summable_sigma_of_nonneg summable_sigma_of_nonneg
lemma summable_partition {α β : Type*} {f : β → ℝ} (hf : 0 ≤ f) {s : α → Set β}
(hs : ∀ i, ∃! j, i ∈ s j) : Summable f ↔
(∀ j, Summable fun i : s j ↦ f i) ∧ Summable fun j ↦ ∑' i : s j, f i := by
simpa only [← (Set.sigmaEquiv s hs).summable_iff] using summable_sigma_of_nonneg (fun _ ↦ hf _)
theorem summable_prod_of_nonneg {f : (α × β) → ℝ} (hf : 0 ≤ f) :
Summable f ↔ (∀ x, Summable fun y ↦ f (x, y)) ∧ Summable fun x ↦ ∑' y, f (x, y) :=
(Equiv.sigmaEquivProd _ _).summable_iff.symm.trans <| summable_sigma_of_nonneg fun _ ↦ hf _
theorem summable_of_sum_le {ι : Type*} {f : ι → ℝ} {c : ℝ} (hf : 0 ≤ f)
(h : ∀ u : Finset ι, ∑ x ∈ u, f x ≤ c) : Summable f :=
⟨⨆ u : Finset ι, ∑ x ∈ u, f x,
tendsto_atTop_ciSup (Finset.sum_mono_set_of_nonneg hf) ⟨c, fun _ ⟨u, hu⟩ => hu ▸ h u⟩⟩
#align summable_of_sum_le summable_of_sum_le
| Mathlib/Topology/Algebra/InfiniteSum/Real.lean | 99 | 103 | theorem summable_of_sum_range_le {f : ℕ → ℝ} {c : ℝ} (hf : ∀ n, 0 ≤ f n)
(h : ∀ n, ∑ i ∈ Finset.range n, f i ≤ c) : Summable f := by |
refine (summable_iff_not_tendsto_nat_atTop_of_nonneg hf).2 fun H => ?_
rcases exists_lt_of_tendsto_atTop H 0 c with ⟨n, -, hn⟩
exact lt_irrefl _ (hn.trans_le (h n))
|
import Mathlib.Algebra.Group.Subgroup.Basic
import Mathlib.CategoryTheory.Groupoid.VertexGroup
import Mathlib.CategoryTheory.Groupoid.Basic
import Mathlib.CategoryTheory.Groupoid
import Mathlib.Data.Set.Lattice
import Mathlib.Order.GaloisConnection
#align_import category_theory.groupoid.subgroupoid from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
namespace CategoryTheory
open Set Groupoid
universe u v
variable {C : Type u} [Groupoid C]
@[ext]
structure Subgroupoid (C : Type u) [Groupoid C] where
arrows : ∀ c d : C, Set (c ⟶ d)
protected inv : ∀ {c d} {p : c ⟶ d}, p ∈ arrows c d → Groupoid.inv p ∈ arrows d c
protected mul : ∀ {c d e} {p}, p ∈ arrows c d → ∀ {q}, q ∈ arrows d e → p ≫ q ∈ arrows c e
#align category_theory.subgroupoid CategoryTheory.Subgroupoid
namespace Subgroupoid
variable (S : Subgroupoid C)
theorem inv_mem_iff {c d : C} (f : c ⟶ d) :
Groupoid.inv f ∈ S.arrows d c ↔ f ∈ S.arrows c d := by
constructor
· intro h
simpa only [inv_eq_inv, IsIso.inv_inv] using S.inv h
· apply S.inv
#align category_theory.subgroupoid.inv_mem_iff CategoryTheory.Subgroupoid.inv_mem_iff
theorem mul_mem_cancel_left {c d e : C} {f : c ⟶ d} {g : d ⟶ e} (hf : f ∈ S.arrows c d) :
f ≫ g ∈ S.arrows c e ↔ g ∈ S.arrows d e := by
constructor
· rintro h
suffices Groupoid.inv f ≫ f ≫ g ∈ S.arrows d e by
simpa only [inv_eq_inv, IsIso.inv_hom_id_assoc] using this
apply S.mul (S.inv hf) h
· apply S.mul hf
#align category_theory.subgroupoid.mul_mem_cancel_left CategoryTheory.Subgroupoid.mul_mem_cancel_left
theorem mul_mem_cancel_right {c d e : C} {f : c ⟶ d} {g : d ⟶ e} (hg : g ∈ S.arrows d e) :
f ≫ g ∈ S.arrows c e ↔ f ∈ S.arrows c d := by
constructor
· rintro h
suffices (f ≫ g) ≫ Groupoid.inv g ∈ S.arrows c d by
simpa only [inv_eq_inv, IsIso.hom_inv_id, Category.comp_id, Category.assoc] using this
apply S.mul h (S.inv hg)
· exact fun hf => S.mul hf hg
#align category_theory.subgroupoid.mul_mem_cancel_right CategoryTheory.Subgroupoid.mul_mem_cancel_right
def objs : Set C :=
{c : C | (S.arrows c c).Nonempty}
#align category_theory.subgroupoid.objs CategoryTheory.Subgroupoid.objs
theorem mem_objs_of_src {c d : C} {f : c ⟶ d} (h : f ∈ S.arrows c d) : c ∈ S.objs :=
⟨f ≫ Groupoid.inv f, S.mul h (S.inv h)⟩
#align category_theory.subgroupoid.mem_objs_of_src CategoryTheory.Subgroupoid.mem_objs_of_src
theorem mem_objs_of_tgt {c d : C} {f : c ⟶ d} (h : f ∈ S.arrows c d) : d ∈ S.objs :=
⟨Groupoid.inv f ≫ f, S.mul (S.inv h) h⟩
#align category_theory.subgroupoid.mem_objs_of_tgt CategoryTheory.Subgroupoid.mem_objs_of_tgt
theorem id_mem_of_nonempty_isotropy (c : C) : c ∈ objs S → 𝟙 c ∈ S.arrows c c := by
rintro ⟨γ, hγ⟩
convert S.mul hγ (S.inv hγ)
simp only [inv_eq_inv, IsIso.hom_inv_id]
#align category_theory.subgroupoid.id_mem_of_nonempty_isotropy CategoryTheory.Subgroupoid.id_mem_of_nonempty_isotropy
theorem id_mem_of_src {c d : C} {f : c ⟶ d} (h : f ∈ S.arrows c d) : 𝟙 c ∈ S.arrows c c :=
id_mem_of_nonempty_isotropy S c (mem_objs_of_src S h)
#align category_theory.subgroupoid.id_mem_of_src CategoryTheory.Subgroupoid.id_mem_of_src
theorem id_mem_of_tgt {c d : C} {f : c ⟶ d} (h : f ∈ S.arrows c d) : 𝟙 d ∈ S.arrows d d :=
id_mem_of_nonempty_isotropy S d (mem_objs_of_tgt S h)
#align category_theory.subgroupoid.id_mem_of_tgt CategoryTheory.Subgroupoid.id_mem_of_tgt
def asWideQuiver : Quiver C :=
⟨fun c d => Subtype <| S.arrows c d⟩
#align category_theory.subgroupoid.as_wide_quiver CategoryTheory.Subgroupoid.asWideQuiver
@[simps comp_coe, simps (config := .lemmasOnly) inv_coe]
instance coe : Groupoid S.objs where
Hom a b := S.arrows a.val b.val
id a := ⟨𝟙 a.val, id_mem_of_nonempty_isotropy S a.val a.prop⟩
comp p q := ⟨p.val ≫ q.val, S.mul p.prop q.prop⟩
inv p := ⟨Groupoid.inv p.val, S.inv p.prop⟩
#align category_theory.subgroupoid.coe CategoryTheory.Subgroupoid.coe
@[simp]
theorem coe_inv_coe' {c d : S.objs} (p : c ⟶ d) :
(CategoryTheory.inv p).val = CategoryTheory.inv p.val := by
simp only [← inv_eq_inv, coe_inv_coe]
#align category_theory.subgroupoid.coe_inv_coe' CategoryTheory.Subgroupoid.coe_inv_coe'
def hom : S.objs ⥤ C where
obj c := c.val
map f := f.val
map_id _ := rfl
map_comp _ _ := rfl
#align category_theory.subgroupoid.hom CategoryTheory.Subgroupoid.hom
theorem hom.inj_on_objects : Function.Injective (hom S).obj := by
rintro ⟨c, hc⟩ ⟨d, hd⟩ hcd
simp only [Subtype.mk_eq_mk]; exact hcd
#align category_theory.subgroupoid.hom.inj_on_objects CategoryTheory.Subgroupoid.hom.inj_on_objects
theorem hom.faithful : ∀ c d, Function.Injective fun f : c ⟶ d => (hom S).map f := by
rintro ⟨c, hc⟩ ⟨d, hd⟩ ⟨f, hf⟩ ⟨g, hg⟩ hfg; exact Subtype.eq hfg
#align category_theory.subgroupoid.hom.faithful CategoryTheory.Subgroupoid.hom.faithful
def vertexSubgroup {c : C} (hc : c ∈ S.objs) : Subgroup (c ⟶ c) where
carrier := S.arrows c c
mul_mem' hf hg := S.mul hf hg
one_mem' := id_mem_of_nonempty_isotropy _ _ hc
inv_mem' hf := S.inv hf
#align category_theory.subgroupoid.vertex_subgroup CategoryTheory.Subgroupoid.vertexSubgroup
@[coe] def toSet (S : Subgroupoid C) : Set (Σ c d : C, c ⟶ d) :=
{F | F.2.2 ∈ S.arrows F.1 F.2.1}
instance : SetLike (Subgroupoid C) (Σ c d : C, c ⟶ d) where
coe := toSet
coe_injective' := fun ⟨S, _, _⟩ ⟨T, _, _⟩ h => by ext c d f; apply Set.ext_iff.1 h ⟨c, d, f⟩
theorem mem_iff (S : Subgroupoid C) (F : Σ c d, c ⟶ d) : F ∈ S ↔ F.2.2 ∈ S.arrows F.1 F.2.1 :=
Iff.rfl
#align category_theory.subgroupoid.mem_iff CategoryTheory.Subgroupoid.mem_iff
theorem le_iff (S T : Subgroupoid C) : S ≤ T ↔ ∀ {c d}, S.arrows c d ⊆ T.arrows c d := by
rw [SetLike.le_def, Sigma.forall]; exact forall_congr' fun c => Sigma.forall
#align category_theory.subgroupoid.le_iff CategoryTheory.Subgroupoid.le_iff
instance : Top (Subgroupoid C) :=
⟨{ arrows := fun _ _ => Set.univ
mul := by intros; trivial
inv := by intros; trivial }⟩
theorem mem_top {c d : C} (f : c ⟶ d) : f ∈ (⊤ : Subgroupoid C).arrows c d :=
trivial
#align category_theory.subgroupoid.mem_top CategoryTheory.Subgroupoid.mem_top
theorem mem_top_objs (c : C) : c ∈ (⊤ : Subgroupoid C).objs := by
dsimp [Top.top, objs]
simp only [univ_nonempty]
#align category_theory.subgroupoid.mem_top_objs CategoryTheory.Subgroupoid.mem_top_objs
instance : Bot (Subgroupoid C) :=
⟨{ arrows := fun _ _ => ∅
mul := False.elim
inv := False.elim }⟩
instance : Inhabited (Subgroupoid C) :=
⟨⊤⟩
instance : Inf (Subgroupoid C) :=
⟨fun S T =>
{ arrows := fun c d => S.arrows c d ∩ T.arrows c d
inv := fun hp ↦ ⟨S.inv hp.1, T.inv hp.2⟩
mul := fun hp _ hq ↦ ⟨S.mul hp.1 hq.1, T.mul hp.2 hq.2⟩ }⟩
instance : InfSet (Subgroupoid C) :=
⟨fun s =>
{ arrows := fun c d => ⋂ S ∈ s, Subgroupoid.arrows S c d
inv := fun hp ↦ by rw [mem_iInter₂] at hp ⊢; exact fun S hS => S.inv (hp S hS)
mul := fun hp _ hq ↦ by
rw [mem_iInter₂] at hp hq ⊢;
exact fun S hS => S.mul (hp S hS) (hq S hS) }⟩
-- Porting note (#10756): new lemma
theorem mem_sInf_arrows {s : Set (Subgroupoid C)} {c d : C} {p : c ⟶ d} :
p ∈ (sInf s).arrows c d ↔ ∀ S ∈ s, p ∈ S.arrows c d :=
mem_iInter₂
theorem mem_sInf {s : Set (Subgroupoid C)} {p : Σ c d : C, c ⟶ d} :
p ∈ sInf s ↔ ∀ S ∈ s, p ∈ S :=
mem_sInf_arrows
instance : CompleteLattice (Subgroupoid C) :=
{ completeLatticeOfInf (Subgroupoid C) (by
refine fun s => ⟨fun S Ss F => ?_, fun T Tl F fT => ?_⟩ <;> simp only [mem_sInf]
exacts [fun hp => hp S Ss, fun S Ss => Tl Ss fT]) with
bot := ⊥
bot_le := fun S => empty_subset _
top := ⊤
le_top := fun S => subset_univ _
inf := (· ⊓ ·)
le_inf := fun R S T RS RT _ pR => ⟨RS pR, RT pR⟩
inf_le_left := fun R S _ => And.left
inf_le_right := fun R S _ => And.right }
theorem le_objs {S T : Subgroupoid C} (h : S ≤ T) : S.objs ⊆ T.objs := fun s ⟨γ, hγ⟩ =>
⟨γ, @h ⟨s, s, γ⟩ hγ⟩
#align category_theory.subgroupoid.le_objs CategoryTheory.Subgroupoid.le_objs
def inclusion {S T : Subgroupoid C} (h : S ≤ T) : S.objs ⥤ T.objs where
obj s := ⟨s.val, le_objs h s.prop⟩
map f := ⟨f.val, @h ⟨_, _, f.val⟩ f.prop⟩
map_id _ := rfl
map_comp _ _ := rfl
#align category_theory.subgroupoid.inclusion CategoryTheory.Subgroupoid.inclusion
theorem inclusion_inj_on_objects {S T : Subgroupoid C} (h : S ≤ T) :
Function.Injective (inclusion h).obj := fun ⟨s, hs⟩ ⟨t, ht⟩ => by
simpa only [inclusion, Subtype.mk_eq_mk] using id
#align category_theory.subgroupoid.inclusion_inj_on_objects CategoryTheory.Subgroupoid.inclusion_inj_on_objects
theorem inclusion_faithful {S T : Subgroupoid C} (h : S ≤ T) (s t : S.objs) :
Function.Injective fun f : s ⟶ t => (inclusion h).map f := fun ⟨f, hf⟩ ⟨g, hg⟩ => by
-- Porting note: was `...; simpa only [Subtype.mk_eq_mk] using id`
dsimp only [inclusion]; rw [Subtype.mk_eq_mk, Subtype.mk_eq_mk]; exact id
#align category_theory.subgroupoid.inclusion_faithful CategoryTheory.Subgroupoid.inclusion_faithful
theorem inclusion_refl {S : Subgroupoid C} : inclusion (le_refl S) = 𝟭 S.objs :=
Functor.hext (fun _ => rfl) fun _ _ _ => HEq.refl _
#align category_theory.subgroupoid.inclusion_refl CategoryTheory.Subgroupoid.inclusion_refl
theorem inclusion_trans {R S T : Subgroupoid C} (k : R ≤ S) (h : S ≤ T) :
inclusion (k.trans h) = inclusion k ⋙ inclusion h :=
rfl
#align category_theory.subgroupoid.inclusion_trans CategoryTheory.Subgroupoid.inclusion_trans
theorem inclusion_comp_embedding {S T : Subgroupoid C} (h : S ≤ T) : inclusion h ⋙ T.hom = S.hom :=
rfl
#align category_theory.subgroupoid.inclusion_comp_embedding CategoryTheory.Subgroupoid.inclusion_comp_embedding
inductive Discrete.Arrows : ∀ c d : C, (c ⟶ d) → Prop
| id (c : C) : Discrete.Arrows c c (𝟙 c)
#align category_theory.subgroupoid.discrete.arrows CategoryTheory.Subgroupoid.Discrete.Arrows
def discrete : Subgroupoid C where
arrows c d := {p | Discrete.Arrows c d p}
inv := by rintro _ _ _ ⟨⟩; simp only [inv_eq_inv, IsIso.inv_id]; constructor
mul := by rintro _ _ _ _ ⟨⟩ _ ⟨⟩; rw [Category.comp_id]; constructor
#align category_theory.subgroupoid.discrete CategoryTheory.Subgroupoid.discrete
theorem mem_discrete_iff {c d : C} (f : c ⟶ d) :
f ∈ discrete.arrows c d ↔ ∃ h : c = d, f = eqToHom h :=
⟨by rintro ⟨⟩; exact ⟨rfl, rfl⟩, by rintro ⟨rfl, rfl⟩; constructor⟩
#align category_theory.subgroupoid.mem_discrete_iff CategoryTheory.Subgroupoid.mem_discrete_iff
structure IsWide : Prop where
wide : ∀ c, 𝟙 c ∈ S.arrows c c
#align category_theory.subgroupoid.is_wide CategoryTheory.Subgroupoid.IsWide
| Mathlib/CategoryTheory/Groupoid/Subgroupoid.lean | 314 | 322 | theorem isWide_iff_objs_eq_univ : S.IsWide ↔ S.objs = Set.univ := by |
constructor
· rintro h
ext x; constructor <;> simp only [top_eq_univ, mem_univ, imp_true_iff, forall_true_left]
apply mem_objs_of_src S (h.wide x)
· rintro h
refine ⟨fun c => ?_⟩
obtain ⟨γ, γS⟩ := (le_of_eq h.symm : ⊤ ⊆ S.objs) (Set.mem_univ c)
exact id_mem_of_src S γS
|
import Mathlib.CategoryTheory.Limits.Shapes.Biproducts
import Mathlib.GroupTheory.EckmannHilton
import Mathlib.Tactic.CategoryTheory.Reassoc
#align_import category_theory.preadditive.of_biproducts from "leanprover-community/mathlib"@"061ea99a5610cfc72c286aa930d3c1f47f74f3d0"
noncomputable section
universe v u
open CategoryTheory
open CategoryTheory.Limits
namespace CategoryTheory.SemiadditiveOfBinaryBiproducts
variable {C : Type u} [Category.{v} C] [HasZeroMorphisms C] [HasBinaryBiproducts C]
section
variable (X Y : C)
@[simp]
def leftAdd (f g : X ⟶ Y) : X ⟶ Y :=
biprod.lift f g ≫ biprod.desc (𝟙 Y) (𝟙 Y)
#align category_theory.semiadditive_of_binary_biproducts.left_add CategoryTheory.SemiadditiveOfBinaryBiproducts.leftAdd
@[simp]
def rightAdd (f g : X ⟶ Y) : X ⟶ Y :=
biprod.lift (𝟙 X) (𝟙 X) ≫ biprod.desc f g
#align category_theory.semiadditive_of_binary_biproducts.right_add CategoryTheory.SemiadditiveOfBinaryBiproducts.rightAdd
local infixr:65 " +ₗ " => leftAdd X Y
local infixr:65 " +ᵣ " => rightAdd X Y
theorem isUnital_leftAdd : EckmannHilton.IsUnital (· +ₗ ·) 0 := by
have hr : ∀ f : X ⟶ Y, biprod.lift (0 : X ⟶ Y) f = f ≫ biprod.inr := by
intro f
ext
· aesop_cat
· simp [biprod.lift_fst, Category.assoc, biprod.inr_fst, comp_zero]
have hl : ∀ f : X ⟶ Y, biprod.lift f (0 : X ⟶ Y) = f ≫ biprod.inl := by
intro f
ext
· aesop_cat
· simp [biprod.lift_snd, Category.assoc, biprod.inl_snd, comp_zero]
exact {
left_id := fun f => by simp [hr f, leftAdd, Category.assoc, Category.comp_id, biprod.inr_desc],
right_id := fun f => by simp [hl f, leftAdd, Category.assoc, Category.comp_id, biprod.inl_desc]
}
#align category_theory.semiadditive_of_binary_biproducts.is_unital_left_add CategoryTheory.SemiadditiveOfBinaryBiproducts.isUnital_leftAdd
theorem isUnital_rightAdd : EckmannHilton.IsUnital (· +ᵣ ·) 0 := by
have h₂ : ∀ f : X ⟶ Y, biprod.desc (0 : X ⟶ Y) f = biprod.snd ≫ f := by
intro f
ext
· aesop_cat
· simp only [biprod.inr_desc, BinaryBicone.inr_snd_assoc]
have h₁ : ∀ f : X ⟶ Y, biprod.desc f (0 : X ⟶ Y) = biprod.fst ≫ f := by
intro f
ext
· aesop_cat
· simp only [biprod.inr_desc, BinaryBicone.inr_fst_assoc, zero_comp]
exact {
left_id := fun f => by simp [h₂ f, rightAdd, biprod.lift_snd_assoc, Category.id_comp],
right_id := fun f => by simp [h₁ f, rightAdd, biprod.lift_fst_assoc, Category.id_comp]
}
#align category_theory.semiadditive_of_binary_biproducts.is_unital_right_add CategoryTheory.SemiadditiveOfBinaryBiproducts.isUnital_rightAdd
theorem distrib (f g h k : X ⟶ Y) : (f +ᵣ g) +ₗ h +ᵣ k = (f +ₗ h) +ᵣ g +ₗ k := by
let diag : X ⊞ X ⟶ Y ⊞ Y := biprod.lift (biprod.desc f g) (biprod.desc h k)
have hd₁ : biprod.inl ≫ diag = biprod.lift f h := by ext <;> simp [diag]
have hd₂ : biprod.inr ≫ diag = biprod.lift g k := by ext <;> simp [diag]
have h₁ : biprod.lift (f +ᵣ g) (h +ᵣ k) = biprod.lift (𝟙 X) (𝟙 X) ≫ diag := by
ext <;> aesop_cat
have h₂ : diag ≫ biprod.desc (𝟙 Y) (𝟙 Y) = biprod.desc (f +ₗ h) (g +ₗ k) := by
ext <;> simp [reassoc_of% hd₁, reassoc_of% hd₂]
rw [leftAdd, h₁, Category.assoc, h₂, rightAdd]
#align category_theory.semiadditive_of_binary_biproducts.distrib CategoryTheory.SemiadditiveOfBinaryBiproducts.distrib
def addCommMonoidHomOfHasBinaryBiproducts : AddCommMonoid (X ⟶ Y) where
add := (· +ᵣ ·)
add_assoc :=
(EckmannHilton.mul_assoc (isUnital_leftAdd X Y) (isUnital_rightAdd X Y) (distrib X Y)).assoc
zero := 0
zero_add := (isUnital_rightAdd X Y).left_id
add_zero := (isUnital_rightAdd X Y).right_id
add_comm :=
(EckmannHilton.mul_comm (isUnital_leftAdd X Y) (isUnital_rightAdd X Y) (distrib X Y)).comm
nsmul := letI : Add (X ⟶ Y) := ⟨(· +ᵣ ·)⟩; nsmulRec
#align category_theory.semiadditive_of_binary_biproducts.add_comm_monoid_hom_of_has_binary_biproducts CategoryTheory.SemiadditiveOfBinaryBiproducts.addCommMonoidHomOfHasBinaryBiproducts
end
section
variable {X Y Z : C}
attribute [local instance] addCommMonoidHomOfHasBinaryBiproducts
theorem add_eq_right_addition (f g : X ⟶ Y) : f + g = biprod.lift (𝟙 X) (𝟙 X) ≫ biprod.desc f g :=
rfl
#align category_theory.semiadditive_of_binary_biproducts.add_eq_right_addition CategoryTheory.SemiadditiveOfBinaryBiproducts.add_eq_right_addition
theorem add_eq_left_addition (f g : X ⟶ Y) : f + g = biprod.lift f g ≫ biprod.desc (𝟙 Y) (𝟙 Y) :=
congr_fun₂ (EckmannHilton.mul (isUnital_leftAdd X Y) (isUnital_rightAdd X Y) (distrib X Y)).symm f
g
#align category_theory.semiadditive_of_binary_biproducts.add_eq_left_addition CategoryTheory.SemiadditiveOfBinaryBiproducts.add_eq_left_addition
theorem add_comp (f g : X ⟶ Y) (h : Y ⟶ Z) : (f + g) ≫ h = f ≫ h + g ≫ h := by
simp only [add_eq_right_addition, Category.assoc]
congr
ext <;> simp
#align category_theory.semiadditive_of_binary_biproducts.add_comp CategoryTheory.SemiadditiveOfBinaryBiproducts.add_comp
| Mathlib/CategoryTheory/Preadditive/OfBiproducts.lean | 135 | 138 | theorem comp_add (f : X ⟶ Y) (g h : Y ⟶ Z) : f ≫ (g + h) = f ≫ g + f ≫ h := by |
simp only [add_eq_left_addition, ← Category.assoc]
congr
ext <;> simp
|
import Mathlib.RingTheory.PowerSeries.Trunc
import Mathlib.RingTheory.PowerSeries.Inverse
import Mathlib.RingTheory.Derivation.Basic
namespace PowerSeries
open Polynomial Derivation Nat
section CommutativeSemiring
variable {R} [CommSemiring R]
noncomputable def derivativeFun (f : R⟦X⟧) : R⟦X⟧ := mk fun n ↦ coeff R (n + 1) f * (n + 1)
theorem coeff_derivativeFun (f : R⟦X⟧) (n : ℕ) :
coeff R n f.derivativeFun = coeff R (n + 1) f * (n + 1) := by
rw [derivativeFun, coeff_mk]
theorem derivativeFun_coe (f : R[X]) : (f : R⟦X⟧).derivativeFun = derivative f := by
ext
rw [coeff_derivativeFun, coeff_coe, coeff_coe, coeff_derivative]
theorem derivativeFun_add (f g : R⟦X⟧) :
derivativeFun (f + g) = derivativeFun f + derivativeFun g := by
ext
rw [coeff_derivativeFun, map_add, map_add, coeff_derivativeFun,
coeff_derivativeFun, add_mul]
| Mathlib/RingTheory/PowerSeries/Derivative.lean | 55 | 58 | theorem derivativeFun_C (r : R) : derivativeFun (C R r) = 0 := by |
ext n
-- Note that `map_zero` didn't get picked up, apparently due to a missing `FunLike.coe`
rw [coeff_derivativeFun, coeff_succ_C, zero_mul, (coeff R n).map_zero]
|
import Mathlib.NumberTheory.Cyclotomic.PrimitiveRoots
import Mathlib.FieldTheory.Finite.Trace
import Mathlib.Algebra.Group.AddChar
import Mathlib.Data.ZMod.Units
import Mathlib.Analysis.Complex.Polynomial
#align_import number_theory.legendre_symbol.add_character from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472"
universe u v
namespace AddChar
section Additive
-- The domain and target of our additive characters. Now we restrict to a ring in the domain.
variable {R : Type u} [CommRing R] {R' : Type v} [CommMonoid R']
lemma val_mem_rootsOfUnity (φ : AddChar R R') (a : R) (h : 0 < ringChar R) :
(φ.val_isUnit a).unit ∈ rootsOfUnity (ringChar R).toPNat' R' := by
simp only [mem_rootsOfUnity', IsUnit.unit_spec, Nat.toPNat'_coe, h, ↓reduceIte,
← map_nsmul_eq_pow, nsmul_eq_mul, CharP.cast_eq_zero, zero_mul, map_zero_eq_one]
def IsPrimitive (ψ : AddChar R R') : Prop :=
∀ a : R, a ≠ 0 → IsNontrivial (mulShift ψ a)
#align add_char.is_primitive AddChar.IsPrimitive
lemma IsPrimitive.compMulHom_of_isPrimitive {R'' : Type*} [CommMonoid R''] {φ : AddChar R R'}
{f : R' →* R''} (hφ : φ.IsPrimitive) (hf : Function.Injective f) :
(f.compAddChar φ).IsPrimitive := by
intro a a_ne_zero
obtain ⟨r, ne_one⟩ := hφ a a_ne_zero
rw [mulShift_apply] at ne_one
simp only [IsNontrivial, mulShift_apply, f.coe_compAddChar, Function.comp_apply]
exact ⟨r, fun H ↦ ne_one <| hf <| f.map_one ▸ H⟩
| Mathlib/NumberTheory/LegendreSymbol/AddCharacter.lean | 76 | 83 | theorem to_mulShift_inj_of_isPrimitive {ψ : AddChar R R'} (hψ : IsPrimitive ψ) :
Function.Injective ψ.mulShift := by |
intro a b h
apply_fun fun x => x * mulShift ψ (-b) at h
simp only [mulShift_mul, mulShift_zero, add_right_neg] at h
have h₂ := hψ (a + -b)
rw [h, isNontrivial_iff_ne_trivial, ← sub_eq_add_neg, sub_ne_zero] at h₂
exact not_not.mp fun h => h₂ h rfl
|
import Mathlib.Dynamics.FixedPoints.Basic
import Mathlib.GroupTheory.Perm.Option
import Mathlib.Logic.Equiv.Defs
import Mathlib.Logic.Equiv.Option
#align_import combinatorics.derangements.basic from "leanprover-community/mathlib"@"9407b03373c8cd201df99d6bc5514fc2db44054f"
open Equiv Function
def derangements (α : Type*) : Set (Perm α) :=
{ f : Perm α | ∀ x : α, f x ≠ x }
#align derangements derangements
variable {α β : Type*}
theorem mem_derangements_iff_fixedPoints_eq_empty {f : Perm α} :
f ∈ derangements α ↔ fixedPoints f = ∅ :=
Set.eq_empty_iff_forall_not_mem.symm
#align mem_derangements_iff_fixed_points_eq_empty mem_derangements_iff_fixedPoints_eq_empty
def Equiv.derangementsCongr (e : α ≃ β) : derangements α ≃ derangements β :=
e.permCongr.subtypeEquiv fun {f} => e.forall_congr <| by
intro b; simp only [ne_eq, permCongr_apply, symm_apply_apply, EmbeddingLike.apply_eq_iff_eq]
#align equiv.derangements_congr Equiv.derangementsCongr
namespace derangements
protected def subtypeEquiv (p : α → Prop) [DecidablePred p] :
derangements (Subtype p) ≃ { f : Perm α // ∀ a, ¬p a ↔ a ∈ fixedPoints f } :=
calc
derangements (Subtype p) ≃ { f : { f : Perm α // ∀ a, ¬p a → a ∈ fixedPoints f } //
∀ a, a ∈ fixedPoints f → ¬p a } := by
refine (Perm.subtypeEquivSubtypePerm p).subtypeEquiv fun f => ⟨fun hf a hfa ha => ?_, ?_⟩
· refine hf ⟨a, ha⟩ (Subtype.ext ?_)
simp_rw [mem_fixedPoints, IsFixedPt, Perm.subtypeEquivSubtypePerm,
Equiv.coe_fn_mk, Perm.ofSubtype_apply_of_mem _ ha] at hfa
assumption
rintro hf ⟨a, ha⟩ hfa
refine hf _ ?_ ha
simp only [Perm.subtypeEquivSubtypePerm_apply_coe, mem_fixedPoints]
dsimp [IsFixedPt]
simp_rw [Perm.ofSubtype_apply_of_mem _ ha, hfa]
_ ≃ { f : Perm α // ∃ _h : ∀ a, ¬p a → a ∈ fixedPoints f, ∀ a, a ∈ fixedPoints f → ¬p a } :=
subtypeSubtypeEquivSubtypeExists _ _
_ ≃ { f : Perm α // ∀ a, ¬p a ↔ a ∈ fixedPoints f } :=
subtypeEquivRight fun f => by
simp_rw [exists_prop, ← forall_and, ← iff_iff_implies_and_implies]
#align derangements.subtype_equiv derangements.subtypeEquiv
universe u
def atMostOneFixedPointEquivSum_derangements [DecidableEq α] (a : α) :
{ f : Perm α // fixedPoints f ⊆ {a} } ≃ Sum (derangements ({a}ᶜ : Set α)) (derangements α) :=
calc
{ f : Perm α // fixedPoints f ⊆ {a} } ≃
Sum { f : { f : Perm α // fixedPoints f ⊆ {a} } // a ∈ fixedPoints f }
{ f : { f : Perm α // fixedPoints f ⊆ {a} } // a ∉ fixedPoints f } :=
(Equiv.sumCompl _).symm
_ ≃ Sum { f : Perm α // fixedPoints f ⊆ {a} ∧ a ∈ fixedPoints f }
{ f : Perm α // fixedPoints f ⊆ {a} ∧ a ∉ fixedPoints f } := by
-- Porting note: `subtypeSubtypeEquivSubtypeInter` no longer works with placeholder `_`s.
refine Equiv.sumCongr ?_ ?_
· exact subtypeSubtypeEquivSubtypeInter
(fun x : Perm α => fixedPoints x ⊆ {a})
(a ∈ fixedPoints ·)
· exact subtypeSubtypeEquivSubtypeInter
(fun x : Perm α => fixedPoints x ⊆ {a})
(¬a ∈ fixedPoints ·)
_ ≃ Sum { f : Perm α // fixedPoints f = {a} } { f : Perm α // fixedPoints f = ∅ } := by
refine Equiv.sumCongr (subtypeEquivRight fun f => ?_) (subtypeEquivRight fun f => ?_)
· rw [Set.eq_singleton_iff_unique_mem, and_comm]
rfl
· rw [Set.eq_empty_iff_forall_not_mem]
exact ⟨fun h x hx => h.2 (h.1 hx ▸ hx), fun h => ⟨fun x hx => (h _ hx).elim, h _⟩⟩
_ ≃ Sum (derangements ({a}ᶜ : Set α)) (derangements α) := by
-- Porting note: was `subtypeEquiv _` but now needs the placeholder to be provided explicitly
refine
Equiv.sumCongr ((derangements.subtypeEquiv (· ∈ ({a}ᶜ : Set α))).trans <|
subtypeEquivRight fun x => ?_).symm
(subtypeEquivRight fun f => mem_derangements_iff_fixedPoints_eq_empty.symm)
rw [eq_comm, Set.ext_iff]
simp_rw [Set.mem_compl_iff, Classical.not_not]
#align derangements.at_most_one_fixed_point_equiv_sum_derangements derangements.atMostOneFixedPointEquivSum_derangements
namespace Equiv
variable [DecidableEq α]
def RemoveNone.fiber (a : Option α) : Set (Perm α) :=
{ f : Perm α | (a, f) ∈ Equiv.Perm.decomposeOption '' derangements (Option α) }
#align derangements.equiv.remove_none.fiber derangements.Equiv.RemoveNone.fiber
theorem RemoveNone.mem_fiber (a : Option α) (f : Perm α) :
f ∈ RemoveNone.fiber a ↔
∃ F : Perm (Option α), F ∈ derangements (Option α) ∧ F none = a ∧ removeNone F = f := by
simp [RemoveNone.fiber, derangements]
#align derangements.equiv.remove_none.mem_fiber derangements.Equiv.RemoveNone.mem_fiber
theorem RemoveNone.fiber_none : RemoveNone.fiber (@none α) = ∅ := by
rw [Set.eq_empty_iff_forall_not_mem]
intro f hyp
rw [RemoveNone.mem_fiber] at hyp
rcases hyp with ⟨F, F_derangement, F_none, _⟩
exact F_derangement none F_none
#align derangements.equiv.remove_none.fiber_none derangements.Equiv.RemoveNone.fiber_none
| Mathlib/Combinatorics/Derangements/Basic.lean | 139 | 169 | theorem RemoveNone.fiber_some (a : α) :
RemoveNone.fiber (some a) = { f : Perm α | fixedPoints f ⊆ {a} } := by |
ext f
constructor
· rw [RemoveNone.mem_fiber]
rintro ⟨F, F_derangement, F_none, rfl⟩ x x_fixed
rw [mem_fixedPoints_iff] at x_fixed
apply_fun some at x_fixed
cases' Fx : F (some x) with y
· rwa [removeNone_none F Fx, F_none, Option.some_inj, eq_comm] at x_fixed
· exfalso
rw [removeNone_some F ⟨y, Fx⟩] at x_fixed
exact F_derangement _ x_fixed
· intro h_opfp
use Equiv.Perm.decomposeOption.symm (some a, f)
constructor
· intro x
apply_fun fun x => Equiv.swap none (some a) x
simp only [Perm.decomposeOption_symm_apply, swap_apply_self, Perm.coe_mul]
cases' x with x
· simp
simp only [comp, optionCongr_apply, Option.map_some', swap_apply_self]
by_cases x_vs_a : x = a
· rw [x_vs_a, swap_apply_right]
apply Option.some_ne_none
have ne_1 : some x ≠ none := Option.some_ne_none _
have ne_2 : some x ≠ some a := (Option.some_injective α).ne_iff.mpr x_vs_a
rw [swap_apply_of_ne_of_ne ne_1 ne_2, (Option.some_injective α).ne_iff]
intro contra
exact x_vs_a (h_opfp contra)
· rw [apply_symm_apply]
|
import Mathlib.Analysis.BoxIntegral.DivergenceTheorem
import Mathlib.Analysis.BoxIntegral.Integrability
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.MeasureTheory.Constructions.Prod.Integral
import Mathlib.MeasureTheory.Integral.IntervalIntegral
import Mathlib.Analysis.Calculus.FDeriv.Equiv
#align_import measure_theory.integral.divergence_theorem from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
open Set Finset TopologicalSpace Function BoxIntegral MeasureTheory Filter
open scoped Classical Topology Interval
universe u
namespace MeasureTheory
variable {E : Type u} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E]
section
variable {n : ℕ}
local macro:arg t:term:max noWs "ⁿ" : term => `(Fin n → $t)
local macro:arg t:term:max noWs "ⁿ⁺¹" : term => `(Fin (n + 1) → $t)
local notation "e " i => Pi.single i 1
section
theorem integral_divergence_of_hasFDerivWithinAt_off_countable_aux₁ (I : Box (Fin (n + 1)))
(f : ℝⁿ⁺¹ → Eⁿ⁺¹)
(f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹) (s : Set ℝⁿ⁺¹)
(hs : s.Countable) (Hc : ContinuousOn f (Box.Icc I))
(Hd : ∀ x ∈ (Box.Icc I) \ s, HasFDerivWithinAt f (f' x) (Box.Icc I) x)
(Hi : IntegrableOn (fun x => ∑ i, f' x (e i) i) (Box.Icc I)) :
(∫ x in Box.Icc I, ∑ i, f' x (e i) i) =
∑ i : Fin (n + 1),
((∫ x in Box.Icc (I.face i), f (i.insertNth (I.upper i) x) i) -
∫ x in Box.Icc (I.face i), f (i.insertNth (I.lower i) x) i) := by
simp only [← setIntegral_congr_set_ae (Box.coe_ae_eq_Icc _)]
have A := (Hi.mono_set Box.coe_subset_Icc).hasBoxIntegral ⊥ rfl
have B :=
hasIntegral_GP_divergence_of_forall_hasDerivWithinAt I f f' (s ∩ Box.Icc I)
(hs.mono inter_subset_left) (fun x hx => Hc _ hx.2) fun x hx =>
Hd _ ⟨hx.1, fun h => hx.2 ⟨h, hx.1⟩⟩
rw [continuousOn_pi] at Hc
refine (A.unique B).trans (sum_congr rfl fun i _ => ?_)
refine congr_arg₂ Sub.sub ?_ ?_
· have := Box.continuousOn_face_Icc (Hc i) (Set.right_mem_Icc.2 (I.lower_le_upper i))
have := (this.integrableOn_compact (μ := volume) (Box.isCompact_Icc _)).mono_set
Box.coe_subset_Icc
exact (this.hasBoxIntegral ⊥ rfl).integral_eq
· have := Box.continuousOn_face_Icc (Hc i) (Set.left_mem_Icc.2 (I.lower_le_upper i))
have := (this.integrableOn_compact (μ := volume) (Box.isCompact_Icc _)).mono_set
Box.coe_subset_Icc
exact (this.hasBoxIntegral ⊥ rfl).integral_eq
#align measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable_aux₁ MeasureTheory.integral_divergence_of_hasFDerivWithinAt_off_countable_aux₁
theorem integral_divergence_of_hasFDerivWithinAt_off_countable_aux₂ (I : Box (Fin (n + 1)))
(f : ℝⁿ⁺¹ → Eⁿ⁺¹)
(f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹)
(s : Set ℝⁿ⁺¹) (hs : s.Countable) (Hc : ContinuousOn f (Box.Icc I))
(Hd : ∀ x ∈ Box.Ioo I \ s, HasFDerivAt f (f' x) x)
(Hi : IntegrableOn (∑ i, f' · (e i) i) (Box.Icc I)) :
(∫ x in Box.Icc I, ∑ i, f' x (e i) i) =
∑ i : Fin (n + 1),
((∫ x in Box.Icc (I.face i), f (i.insertNth (I.upper i) x) i) -
∫ x in Box.Icc (I.face i), f (i.insertNth (I.lower i) x) i) := by
rcases I.exists_seq_mono_tendsto with ⟨J, hJ_sub, hJl, hJu⟩
have hJ_sub' : ∀ k, Box.Icc (J k) ⊆ Box.Icc I := fun k => (hJ_sub k).trans I.Ioo_subset_Icc
have hJ_le : ∀ k, J k ≤ I := fun k => Box.le_iff_Icc.2 (hJ_sub' k)
have HcJ : ∀ k, ContinuousOn f (Box.Icc (J k)) := fun k => Hc.mono (hJ_sub' k)
have HdJ : ∀ (k), ∀ x ∈ (Box.Icc (J k)) \ s, HasFDerivWithinAt f (f' x) (Box.Icc (J k)) x :=
fun k x hx => (Hd x ⟨hJ_sub k hx.1, hx.2⟩).hasFDerivWithinAt
have HiJ : ∀ k, IntegrableOn (∑ i, f' · (e i) i) (Box.Icc (J k)) volume := fun k =>
Hi.mono_set (hJ_sub' k)
-- Apply the previous lemma to `J k`.
have HJ_eq := fun k =>
integral_divergence_of_hasFDerivWithinAt_off_countable_aux₁ (J k) f f' s hs (HcJ k) (HdJ k)
(HiJ k)
-- Note that the LHS of `HJ_eq k` tends to the LHS of the goal as `k → ∞`.
have hI_tendsto :
Tendsto (fun k => ∫ x in Box.Icc (J k), ∑ i, f' x (e i) i) atTop
(𝓝 (∫ x in Box.Icc I, ∑ i, f' x (e i) i)) := by
simp only [IntegrableOn, ← Measure.restrict_congr_set (Box.Ioo_ae_eq_Icc _)] at Hi ⊢
rw [← Box.iUnion_Ioo_of_tendsto J.monotone hJl hJu] at Hi ⊢
exact tendsto_setIntegral_of_monotone (fun k => (J k).measurableSet_Ioo)
(Box.Ioo.comp J).monotone Hi
-- Thus it suffices to prove the same about the RHS.
refine tendsto_nhds_unique_of_eventuallyEq hI_tendsto ?_ (eventually_of_forall HJ_eq)
clear hI_tendsto
rw [tendsto_pi_nhds] at hJl hJu
suffices ∀ (i : Fin (n + 1)) (c : ℕ → ℝ) (d), (∀ k, c k ∈ Icc (I.lower i) (I.upper i)) →
Tendsto c atTop (𝓝 d) →
Tendsto (fun k => ∫ x in Box.Icc ((J k).face i), f (i.insertNth (c k) x) i) atTop
(𝓝 <| ∫ x in Box.Icc (I.face i), f (i.insertNth d x) i) by
rw [Box.Icc_eq_pi] at hJ_sub'
refine tendsto_finset_sum _ fun i _ => (this _ _ _ ?_ (hJu _)).sub (this _ _ _ ?_ (hJl _))
exacts [fun k => hJ_sub' k (J k).upper_mem_Icc _ trivial, fun k =>
hJ_sub' k (J k).lower_mem_Icc _ trivial]
intro i c d hc hcd
have hd : d ∈ Icc (I.lower i) (I.upper i) :=
isClosed_Icc.mem_of_tendsto hcd (eventually_of_forall hc)
have Hic : ∀ k, IntegrableOn (fun x => f (i.insertNth (c k) x) i) (Box.Icc (I.face i)) := fun k =>
(Box.continuousOn_face_Icc ((continuous_apply i).comp_continuousOn Hc) (hc k)).integrableOn_Icc
have Hid : IntegrableOn (fun x => f (i.insertNth d x) i) (Box.Icc (I.face i)) :=
(Box.continuousOn_face_Icc ((continuous_apply i).comp_continuousOn Hc) hd).integrableOn_Icc
have H :
Tendsto (fun k => ∫ x in Box.Icc ((J k).face i), f (i.insertNth d x) i) atTop
(𝓝 <| ∫ x in Box.Icc (I.face i), f (i.insertNth d x) i) := by
have hIoo : (⋃ k, Box.Ioo ((J k).face i)) = Box.Ioo (I.face i) :=
Box.iUnion_Ioo_of_tendsto ((Box.monotone_face i).comp J.monotone)
(tendsto_pi_nhds.2 fun _ => hJl _) (tendsto_pi_nhds.2 fun _ => hJu _)
simp only [IntegrableOn, ← Measure.restrict_congr_set (Box.Ioo_ae_eq_Icc _), ← hIoo] at Hid ⊢
exact tendsto_setIntegral_of_monotone (fun k => ((J k).face i).measurableSet_Ioo)
(Box.Ioo.monotone.comp ((Box.monotone_face i).comp J.monotone)) Hid
refine H.congr_dist (Metric.nhds_basis_closedBall.tendsto_right_iff.2 fun ε εpos => ?_)
have hvol_pos : ∀ J : Box (Fin n), 0 < ∏ j, (J.upper j - J.lower j) := fun J =>
prod_pos fun j hj => sub_pos.2 <| J.lower_lt_upper _
rcases Metric.uniformContinuousOn_iff_le.1 (I.isCompact_Icc.uniformContinuousOn_of_continuous Hc)
(ε / ∏ j, ((I.face i).upper j - (I.face i).lower j)) (div_pos εpos (hvol_pos (I.face i)))
with ⟨δ, δpos, hδ⟩
refine (hcd.eventually (Metric.ball_mem_nhds _ δpos)).mono fun k hk => ?_
have Hsub : Box.Icc ((J k).face i) ⊆ Box.Icc (I.face i) :=
Box.le_iff_Icc.1 (Box.face_mono (hJ_le _) i)
rw [mem_closedBall_zero_iff, Real.norm_eq_abs, abs_of_nonneg dist_nonneg, dist_eq_norm,
← integral_sub (Hid.mono_set Hsub) ((Hic _).mono_set Hsub)]
calc
‖∫ x in Box.Icc ((J k).face i), f (i.insertNth d x) i - f (i.insertNth (c k) x) i‖ ≤
(ε / ∏ j, ((I.face i).upper j - (I.face i).lower j)) *
(volume (Box.Icc ((J k).face i))).toReal := by
refine norm_setIntegral_le_of_norm_le_const' (((J k).face i).measure_Icc_lt_top _)
((J k).face i).measurableSet_Icc fun x hx => ?_
rw [← dist_eq_norm]
calc
dist (f (i.insertNth d x) i) (f (i.insertNth (c k) x) i) ≤
dist (f (i.insertNth d x)) (f (i.insertNth (c k) x)) :=
dist_le_pi_dist (f (i.insertNth d x)) (f (i.insertNth (c k) x)) i
_ ≤ ε / ∏ j, ((I.face i).upper j - (I.face i).lower j) :=
hδ _ (I.mapsTo_insertNth_face_Icc hd <| Hsub hx) _
(I.mapsTo_insertNth_face_Icc (hc _) <| Hsub hx) ?_
rw [Fin.dist_insertNth_insertNth, dist_self, dist_comm]
exact max_le hk.le δpos.lt.le
_ ≤ ε := by
rw [Box.Icc_def, Real.volume_Icc_pi_toReal ((J k).face i).lower_le_upper,
← le_div_iff (hvol_pos _)]
gcongr
exacts [hvol_pos _, fun _ _ ↦ sub_nonneg.2 (Box.lower_le_upper _ _),
(hJ_sub' _ (J _).upper_mem_Icc).2 _, (hJ_sub' _ (J _).lower_mem_Icc).1 _]
#align measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable_aux₂ MeasureTheory.integral_divergence_of_hasFDerivWithinAt_off_countable_aux₂
variable (a b : Fin (n + 1) → ℝ)
local notation "face " i => Set.Icc (a ∘ Fin.succAbove i) (b ∘ Fin.succAbove i)
local notation:max "frontFace " i:arg => Fin.insertNth i (b i)
local notation:max "backFace " i:arg => Fin.insertNth i (a i)
theorem integral_divergence_of_hasFDerivWithinAt_off_countable (hle : a ≤ b)
(f : ℝⁿ⁺¹ → Eⁿ⁺¹)
(f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹)
(s : Set ℝⁿ⁺¹) (hs : s.Countable) (Hc : ContinuousOn f (Icc a b))
(Hd : ∀ x ∈ (Set.pi univ fun i => Ioo (a i) (b i)) \ s, HasFDerivAt f (f' x) x)
(Hi : IntegrableOn (fun x => ∑ i, f' x (e i) i) (Icc a b)) :
(∫ x in Icc a b, ∑ i, f' x (e i) i) =
∑ i : Fin (n + 1),
((∫ x in face i, f (frontFace i x) i) - ∫ x in face i, f (backFace i x) i) := by
rcases em (∃ i, a i = b i) with (⟨i, hi⟩ | hne)
· -- First we sort out the trivial case `∃ i, a i = b i`.
rw [volume_pi, ← setIntegral_congr_set_ae Measure.univ_pi_Ioc_ae_eq_Icc]
have hi' : Ioc (a i) (b i) = ∅ := Ioc_eq_empty hi.not_lt
have : (pi Set.univ fun j => Ioc (a j) (b j)) = ∅ := univ_pi_eq_empty hi'
rw [this, integral_empty, sum_eq_zero]
rintro j -
rcases eq_or_ne i j with (rfl | hne)
· simp [hi]
· rcases Fin.exists_succAbove_eq hne with ⟨i, rfl⟩
have : Icc (a ∘ j.succAbove) (b ∘ j.succAbove) =ᵐ[volume] (∅ : Set ℝⁿ) := by
rw [ae_eq_empty, Real.volume_Icc_pi, prod_eq_zero (Finset.mem_univ i)]
simp [hi]
rw [setIntegral_congr_set_ae this, setIntegral_congr_set_ae this, integral_empty,
integral_empty, sub_self]
· -- In the non-trivial case `∀ i, a i < b i`, we apply a lemma we proved above.
have hlt : ∀ i, a i < b i := fun i => (hle i).lt_of_ne fun hi => hne ⟨i, hi⟩
exact integral_divergence_of_hasFDerivWithinAt_off_countable_aux₂ ⟨a, b, hlt⟩ f f' s hs Hc
Hd Hi
#align measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable MeasureTheory.integral_divergence_of_hasFDerivWithinAt_off_countable
theorem integral_divergence_of_hasFDerivWithinAt_off_countable' (hle : a ≤ b)
(f : Fin (n + 1) → ℝⁿ⁺¹ → E)
(f' : Fin (n + 1) → ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] E) (s : Set ℝⁿ⁺¹)
(hs : s.Countable) (Hc : ∀ i, ContinuousOn (f i) (Icc a b))
(Hd : ∀ x ∈ (pi Set.univ fun i => Ioo (a i) (b i)) \ s, ∀ (i), HasFDerivAt (f i) (f' i x) x)
(Hi : IntegrableOn (fun x => ∑ i, f' i x (e i)) (Icc a b)) :
(∫ x in Icc a b, ∑ i, f' i x (e i)) =
∑ i : Fin (n + 1), ((∫ x in face i, f i (frontFace i x)) -
∫ x in face i, f i (backFace i x)) :=
integral_divergence_of_hasFDerivWithinAt_off_countable a b hle (fun x i => f i x)
(fun x => ContinuousLinearMap.pi fun i => f' i x) s hs (continuousOn_pi.2 Hc)
(fun x hx => hasFDerivAt_pi.2 (Hd x hx)) Hi
#align measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable' MeasureTheory.integral_divergence_of_hasFDerivWithinAt_off_countable'
end
theorem integral_divergence_of_hasFDerivWithinAt_off_countable_of_equiv {F : Type*}
[NormedAddCommGroup F] [NormedSpace ℝ F] [PartialOrder F] [MeasureSpace F] [BorelSpace F]
(eL : F ≃L[ℝ] ℝⁿ⁺¹) (he_ord : ∀ x y, eL x ≤ eL y ↔ x ≤ y)
(he_vol : MeasurePreserving eL volume volume) (f : Fin (n + 1) → F → E)
(f' : Fin (n + 1) → F → F →L[ℝ] E) (s : Set F) (hs : s.Countable) (a b : F) (hle : a ≤ b)
(Hc : ∀ i, ContinuousOn (f i) (Icc a b))
(Hd : ∀ x ∈ interior (Icc a b) \ s, ∀ (i), HasFDerivAt (f i) (f' i x) x) (DF : F → E)
(hDF : ∀ x, DF x = ∑ i, f' i x (eL.symm <| e i)) (Hi : IntegrableOn DF (Icc a b)) :
∫ x in Icc a b, DF x =
∑ i : Fin (n + 1),
((∫ x in Icc (eL a ∘ i.succAbove) (eL b ∘ i.succAbove),
f i (eL.symm <| i.insertNth (eL b i) x)) -
∫ x in Icc (eL a ∘ i.succAbove) (eL b ∘ i.succAbove),
f i (eL.symm <| i.insertNth (eL a i) x)) :=
have he_emb : MeasurableEmbedding eL := eL.toHomeomorph.measurableEmbedding
have hIcc : eL ⁻¹' Icc (eL a) (eL b) = Icc a b := by
ext1 x; simp only [Set.mem_preimage, Set.mem_Icc, he_ord]
have hIcc' : Icc (eL a) (eL b) = eL.symm ⁻¹' Icc a b := by rw [← hIcc, eL.symm_preimage_preimage]
calc
∫ x in Icc a b, DF x = ∫ x in Icc a b, ∑ i, f' i x (eL.symm <| e i) := by simp only [hDF]
_ = ∫ x in Icc (eL a) (eL b), ∑ i, f' i (eL.symm x) (eL.symm <| e i) := by
rw [← he_vol.setIntegral_preimage_emb he_emb]
simp only [hIcc, eL.symm_apply_apply]
_ = ∑ i : Fin (n + 1),
((∫ x in Icc (eL a ∘ i.succAbove) (eL b ∘ i.succAbove),
f i (eL.symm <| i.insertNth (eL b i) x)) -
∫ x in Icc (eL a ∘ i.succAbove) (eL b ∘ i.succAbove),
f i (eL.symm <| i.insertNth (eL a i) x)) := by
refine integral_divergence_of_hasFDerivWithinAt_off_countable' (eL a) (eL b)
((he_ord _ _).2 hle) (fun i x => f i (eL.symm x))
(fun i x => f' i (eL.symm x) ∘L (eL.symm : ℝⁿ⁺¹ →L[ℝ] F)) (eL.symm ⁻¹' s)
(hs.preimage eL.symm.injective) ?_ ?_ ?_
· exact fun i => (Hc i).comp eL.symm.continuousOn hIcc'.subset
· refine fun x hx i => (Hd (eL.symm x) ⟨?_, hx.2⟩ i).comp x eL.symm.hasFDerivAt
rw [← hIcc]
refine preimage_interior_subset_interior_preimage eL.continuous ?_
simpa only [Set.mem_preimage, eL.apply_symm_apply, ← pi_univ_Icc,
interior_pi_set (@finite_univ (Fin _) _), interior_Icc] using hx.1
· rw [← he_vol.integrableOn_comp_preimage he_emb, hIcc]
simp [← hDF, (· ∘ ·), Hi]
#align measure_theory.integral_divergence_of_has_fderiv_within_at_off_countable_of_equiv MeasureTheory.integral_divergence_of_hasFDerivWithinAt_off_countable_of_equiv
end
open scoped Interval
open ContinuousLinearMap (smulRight)
local macro:arg t:term:max noWs "¹" : term => `(Fin 1 → $t)
local macro:arg t:term:max noWs "²" : term => `(Fin 2 → $t)
theorem integral_eq_of_hasDerivWithinAt_off_countable_of_le (f f' : ℝ → E) {a b : ℝ}
(hle : a ≤ b) {s : Set ℝ} (hs : s.Countable) (Hc : ContinuousOn f (Icc a b))
(Hd : ∀ x ∈ Ioo a b \ s, HasDerivAt f (f' x) x) (Hi : IntervalIntegrable f' volume a b) :
∫ x in a..b, f' x = f b - f a := by
set e : ℝ ≃L[ℝ] ℝ¹ := (ContinuousLinearEquiv.funUnique (Fin 1) ℝ ℝ).symm
have e_symm : ∀ x, e.symm x = x 0 := fun x => rfl
set F' : ℝ → ℝ →L[ℝ] E := fun x => smulRight (1 : ℝ →L[ℝ] ℝ) (f' x)
have hF' : ∀ x y, F' x y = y • f' x := fun x y => rfl
calc
∫ x in a..b, f' x = ∫ x in Icc a b, f' x := by
rw [intervalIntegral.integral_of_le hle, setIntegral_congr_set_ae Ioc_ae_eq_Icc]
_ = ∑ i : Fin 1,
((∫ x in Icc (e a ∘ i.succAbove) (e b ∘ i.succAbove),
f (e.symm <| i.insertNth (e b i) x)) -
∫ x in Icc (e a ∘ i.succAbove) (e b ∘ i.succAbove),
f (e.symm <| i.insertNth (e a i) x)) := by
simp only [← interior_Icc] at Hd
refine
integral_divergence_of_hasFDerivWithinAt_off_countable_of_equiv e ?_ ?_ (fun _ => f)
(fun _ => F') s hs a b hle (fun _ => Hc) (fun x hx _ => Hd x hx) _ ?_ ?_
· exact fun x y => (OrderIso.funUnique (Fin 1) ℝ).symm.le_iff_le
· exact (volume_preserving_funUnique (Fin 1) ℝ).symm _
· intro x; rw [Fin.sum_univ_one, hF', e_symm, Pi.single_eq_same, one_smul]
· rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hle] at Hi
exact Hi.congr_set_ae Ioc_ae_eq_Icc.symm
_ = f b - f a := by
simp only [e, Fin.sum_univ_one, e_symm]
have : ∀ c : ℝ, const (Fin 0) c = isEmptyElim := fun c => Subsingleton.elim _ _
simp [this, volume_pi, Measure.pi_of_empty fun _ : Fin 0 => volume]
#align measure_theory.integral_eq_of_has_deriv_within_at_off_countable_of_le MeasureTheory.integral_eq_of_hasDerivWithinAt_off_countable_of_le
| Mathlib/MeasureTheory/Integral/DivergenceTheorem.lean | 419 | 428 | theorem integral_eq_of_hasDerivWithinAt_off_countable (f f' : ℝ → E) {a b : ℝ} {s : Set ℝ}
(hs : s.Countable) (Hc : ContinuousOn f [[a, b]])
(Hd : ∀ x ∈ Ioo (min a b) (max a b) \ s, HasDerivAt f (f' x) x)
(Hi : IntervalIntegrable f' volume a b) : ∫ x in a..b, f' x = f b - f a := by |
rcases le_total a b with hab | hab
· simp only [uIcc_of_le hab, min_eq_left hab, max_eq_right hab] at *
exact integral_eq_of_hasDerivWithinAt_off_countable_of_le f f' hab hs Hc Hd Hi
· simp only [uIcc_of_ge hab, min_eq_right hab, max_eq_left hab] at *
rw [intervalIntegral.integral_symm, neg_eq_iff_eq_neg, neg_sub]
exact integral_eq_of_hasDerivWithinAt_off_countable_of_le f f' hab hs Hc Hd Hi.symm
|
import Mathlib.Data.Finset.Fin
import Mathlib.Data.Int.Order.Units
import Mathlib.GroupTheory.OrderOfElement
import Mathlib.GroupTheory.Perm.Support
import Mathlib.Logic.Equiv.Fintype
#align_import group_theory.perm.sign from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
universe u v
open Equiv Function Fintype Finset
variable {α : Type u} {β : Type v}
-- An example on how to determine the order of an element of a finite group.
example : orderOf (-1 : ℤˣ) = 2 :=
orderOf_eq_prime (Int.units_sq _) (by decide)
namespace Equiv.Perm
section Conjugation
variable [DecidableEq α] [Fintype α] {σ τ : Perm α}
| Mathlib/GroupTheory/Perm/Finite.lean | 37 | 50 | theorem isConj_of_support_equiv
(f : { x // x ∈ (σ.support : Set α) } ≃ { x // x ∈ (τ.support : Set α) })
(hf : ∀ (x : α) (hx : x ∈ (σ.support : Set α)),
(f ⟨σ x, apply_mem_support.2 hx⟩ : α) = τ ↑(f ⟨x, hx⟩)) :
IsConj σ τ := by |
refine isConj_iff.2 ⟨Equiv.extendSubtype f, ?_⟩
rw [mul_inv_eq_iff_eq_mul]
ext x
simp only [Perm.mul_apply]
by_cases hx : x ∈ σ.support
· rw [Equiv.extendSubtype_apply_of_mem, Equiv.extendSubtype_apply_of_mem]
· exact hf x (Finset.mem_coe.2 hx)
· rwa [Classical.not_not.1 ((not_congr mem_support).1 (Equiv.extendSubtype_not_mem f _ _)),
Classical.not_not.1 ((not_congr mem_support).mp hx)]
|
import Mathlib.Data.Set.Lattice
#align_import data.set.intervals.disjoint from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
universe u v w
variable {ι : Sort u} {α : Type v} {β : Type w}
open Set
open OrderDual (toDual)
namespace Set
section Preorder
variable [Preorder α] {a b c : α}
@[simp]
theorem Iic_disjoint_Ioi (h : a ≤ b) : Disjoint (Iic a) (Ioi b) :=
disjoint_left.mpr fun _ ha hb => (h.trans_lt hb).not_le ha
#align set.Iic_disjoint_Ioi Set.Iic_disjoint_Ioi
@[simp]
theorem Iio_disjoint_Ici (h : a ≤ b) : Disjoint (Iio a) (Ici b) :=
disjoint_left.mpr fun _ ha hb => (h.trans_lt' ha).not_le hb
@[simp]
theorem Iic_disjoint_Ioc (h : a ≤ b) : Disjoint (Iic a) (Ioc b c) :=
(Iic_disjoint_Ioi h).mono le_rfl Ioc_subset_Ioi_self
#align set.Iic_disjoint_Ioc Set.Iic_disjoint_Ioc
@[simp]
theorem Ioc_disjoint_Ioc_same : Disjoint (Ioc a b) (Ioc b c) :=
(Iic_disjoint_Ioc le_rfl).mono Ioc_subset_Iic_self le_rfl
#align set.Ioc_disjoint_Ioc_same Set.Ioc_disjoint_Ioc_same
@[simp]
theorem Ico_disjoint_Ico_same : Disjoint (Ico a b) (Ico b c) :=
disjoint_left.mpr fun _ hab hbc => hab.2.not_le hbc.1
#align set.Ico_disjoint_Ico_same Set.Ico_disjoint_Ico_same
@[simp]
theorem Ici_disjoint_Iic : Disjoint (Ici a) (Iic b) ↔ ¬a ≤ b := by
rw [Set.disjoint_iff_inter_eq_empty, Ici_inter_Iic, Icc_eq_empty_iff]
#align set.Ici_disjoint_Iic Set.Ici_disjoint_Iic
@[simp]
theorem Iic_disjoint_Ici : Disjoint (Iic a) (Ici b) ↔ ¬b ≤ a :=
disjoint_comm.trans Ici_disjoint_Iic
#align set.Iic_disjoint_Ici Set.Iic_disjoint_Ici
@[simp]
theorem Ioc_disjoint_Ioi (h : b ≤ c) : Disjoint (Ioc a b) (Ioi c) :=
disjoint_left.mpr (fun _ hx hy ↦ (hx.2.trans h).not_lt hy)
theorem Ioc_disjoint_Ioi_same : Disjoint (Ioc a b) (Ioi b) :=
Ioc_disjoint_Ioi le_rfl
@[simp]
theorem iUnion_Iic : ⋃ a : α, Iic a = univ :=
iUnion_eq_univ_iff.2 fun x => ⟨x, right_mem_Iic⟩
#align set.Union_Iic Set.iUnion_Iic
@[simp]
theorem iUnion_Ici : ⋃ a : α, Ici a = univ :=
iUnion_eq_univ_iff.2 fun x => ⟨x, left_mem_Ici⟩
#align set.Union_Ici Set.iUnion_Ici
@[simp]
| Mathlib/Order/Interval/Set/Disjoint.lean | 87 | 88 | theorem iUnion_Icc_right (a : α) : ⋃ b, Icc a b = Ici a := by |
simp only [← Ici_inter_Iic, ← inter_iUnion, iUnion_Iic, inter_univ]
|
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
| Mathlib/Algebra/Order/ToIntervalMod.lean | 172 | 179 | 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]
|
import Mathlib.CategoryTheory.Limits.Types
import Mathlib.CategoryTheory.Limits.Shapes.Products
import Mathlib.CategoryTheory.Limits.Shapes.BinaryProducts
import Mathlib.CategoryTheory.Limits.Shapes.Terminal
import Mathlib.CategoryTheory.ConcreteCategory.Basic
import Mathlib.Tactic.CategoryTheory.Elementwise
import Mathlib.Data.Set.Subsingleton
#align_import category_theory.limits.shapes.types from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8"
universe v u
open CategoryTheory Limits
namespace CategoryTheory.Limits.Types
example : HasProducts.{v} (Type v) := inferInstance
example [UnivLE.{v, u}] : HasProducts.{v} (Type u) := inferInstance
-- This shortcut instance is required in `Mathlib.CategoryTheory.Closed.Types`,
-- although I don't understand why, and wish it wasn't.
instance : HasProducts.{v} (Type v) := inferInstance
@[simp 1001]
theorem pi_lift_π_apply {β : Type v} [Small.{u} β] (f : β → Type u) {P : Type u}
(s : ∀ b, P ⟶ f b) (b : β) (x : P) :
(Pi.π f b : (piObj f) → f b) (@Pi.lift β _ _ f _ P s x) = s b x :=
congr_fun (limit.lift_π (Fan.mk P s) ⟨b⟩) x
#align category_theory.limits.types.pi_lift_π_apply CategoryTheory.Limits.Types.pi_lift_π_apply
| Mathlib/CategoryTheory/Limits/Shapes/Types.lean | 66 | 69 | theorem pi_lift_π_apply' {β : Type v} (f : β → Type v) {P : Type v}
(s : ∀ b, P ⟶ f b) (b : β) (x : P) :
(Pi.π f b : (piObj f) → f b) (@Pi.lift β _ _ f _ P s x) = s b x := by |
simp
|
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
import Mathlib.Data.List.Infix
import Mathlib.Data.List.MinMax
import Mathlib.Data.List.EditDistance.Defs
set_option autoImplicit true
variable {C : Levenshtein.Cost α β δ} [CanonicallyLinearOrderedAddCommMonoid δ]
theorem suffixLevenshtein_minimum_le_levenshtein_cons (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ levenshtein C xs (y :: ys) := by
induction xs with
| nil =>
simp only [suffixLevenshtein_nil', levenshtein_nil_cons,
List.minimum_singleton, WithTop.coe_le_coe]
exact le_add_of_nonneg_left (by simp)
| cons x xs ih =>
suffices
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.delete x + levenshtein C xs (y :: ys)) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.insert y + levenshtein C (x :: xs) ys) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.substitute x y + levenshtein C xs ys) by
simpa [suffixLevenshtein_eq_tails_map]
refine ⟨?_, ?_, ?_⟩
· calc
_ ≤ (suffixLevenshtein C xs ys).1.minimum := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ ↑(levenshtein C xs (y :: ys)) := ih
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C (x :: xs) ys) := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C xs ys) := by
simp only [suffixLevenshtein_cons₁_fst, List.minimum_cons]
apply min_le_of_right_le
cases xs
· simp [suffixLevenshtein_nil']
· simp [suffixLevenshtein_cons₁, List.minimum_cons]
_ ≤ _ := by simp
theorem le_suffixLevenshtein_cons_minimum (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ (suffixLevenshtein C xs (y :: ys)).1.minimum := by
apply List.le_minimum_of_forall_le
simp only [suffixLevenshtein_eq_tails_map]
simp only [List.mem_map, List.mem_tails, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂]
intro a suff
refine (?_ : _ ≤ _).trans (suffixLevenshtein_minimum_le_levenshtein_cons _ _ _)
simp only [suffixLevenshtein_eq_tails_map]
apply List.le_minimum_of_forall_le
intro b m
replace m : ∃ a_1, a_1 <:+ a ∧ levenshtein C a_1 ys = b := by simpa using m
obtain ⟨a', suff', rfl⟩ := m
apply List.minimum_le_of_mem'
simp only [List.mem_map, List.mem_tails]
suffices ∃ a, a <:+ xs ∧ levenshtein C a ys = levenshtein C a' ys by simpa
exact ⟨a', suff'.trans suff, rfl⟩
theorem le_suffixLevenshtein_append_minimum (xs : List α) (ys₁ ys₂) :
(suffixLevenshtein C xs ys₂).1.minimum ≤ (suffixLevenshtein C xs (ys₁ ++ ys₂)).1.minimum := by
induction ys₁ with
| nil => exact le_refl _
| cons y ys₁ ih => exact ih.trans (le_suffixLevenshtein_cons_minimum _ _ _)
theorem suffixLevenshtein_minimum_le_levenshtein_append (xs ys₁ ys₂) :
(suffixLevenshtein C xs ys₂).1.minimum ≤ levenshtein C xs (ys₁ ++ ys₂) := by
cases ys₁ with
| nil => exact List.minimum_le_of_mem' (List.get_mem _ _ _)
| cons y ys₁ =>
exact (le_suffixLevenshtein_append_minimum _ _ _).trans
(suffixLevenshtein_minimum_le_levenshtein_cons _ _ _)
theorem le_levenshtein_cons (xs : List α) (y ys) :
∃ xs', xs' <:+ xs ∧ levenshtein C xs' ys ≤ levenshtein C xs (y :: ys) := by
simpa [suffixLevenshtein_eq_tails_map, List.minimum_le_coe_iff] using
suffixLevenshtein_minimum_le_levenshtein_cons (δ := δ) xs y ys
| Mathlib/Data/List/EditDistance/Bounds.lean | 94 | 97 | theorem le_levenshtein_append (xs : List α) (ys₁ ys₂) :
∃ xs', xs' <:+ xs ∧ levenshtein C xs' ys₂ ≤ levenshtein C xs (ys₁ ++ ys₂) := by |
simpa [suffixLevenshtein_eq_tails_map, List.minimum_le_coe_iff] using
suffixLevenshtein_minimum_le_levenshtein_append (δ := δ) xs ys₁ ys₂
|
import Mathlib.Data.Set.Lattice
#align_import data.set.accumulate from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
variable {α β γ : Type*} {s : α → Set β} {t : α → Set γ}
namespace Set
def Accumulate [LE α] (s : α → Set β) (x : α) : Set β :=
⋃ y ≤ x, s y
#align set.accumulate Set.Accumulate
theorem accumulate_def [LE α] {x : α} : Accumulate s x = ⋃ y ≤ x, s y :=
rfl
#align set.accumulate_def Set.accumulate_def
@[simp]
theorem mem_accumulate [LE α] {x : α} {z : β} : z ∈ Accumulate s x ↔ ∃ y ≤ x, z ∈ s y := by
simp_rw [accumulate_def, mem_iUnion₂, exists_prop]
#align set.mem_accumulate Set.mem_accumulate
theorem subset_accumulate [Preorder α] {x : α} : s x ⊆ Accumulate s x := fun _ => mem_biUnion le_rfl
#align set.subset_accumulate Set.subset_accumulate
theorem accumulate_subset_iUnion [Preorder α] (x : α) : Accumulate s x ⊆ ⋃ i, s i :=
(biUnion_subset_biUnion_left (subset_univ _)).trans_eq (biUnion_univ _)
theorem monotone_accumulate [Preorder α] : Monotone (Accumulate s) := fun _ _ hxy =>
biUnion_subset_biUnion_left fun _ hz => le_trans hz hxy
#align set.monotone_accumulate Set.monotone_accumulate
@[gcongr]
theorem accumulate_subset_accumulate [Preorder α] {x y} (h : x ≤ y) :
Accumulate s x ⊆ Accumulate s y :=
monotone_accumulate h
| Mathlib/Data/Set/Accumulate.lean | 50 | 53 | theorem biUnion_accumulate [Preorder α] (x : α) : ⋃ y ≤ x, Accumulate s y = ⋃ y ≤ x, s y := by |
apply Subset.antisymm
· exact iUnion₂_subset fun y hy => monotone_accumulate hy
· exact iUnion₂_mono fun y _ => subset_accumulate
|
import Mathlib.Algebra.Module.Zlattice.Basic
import Mathlib.NumberTheory.NumberField.Embeddings
import Mathlib.NumberTheory.NumberField.FractionalIdeal
#align_import number_theory.number_field.canonical_embedding from "leanprover-community/mathlib"@"60da01b41bbe4206f05d34fd70c8dd7498717a30"
variable (K : Type*) [Field K]
namespace NumberField.mixedEmbedding
open NumberField NumberField.InfinitePlace FiniteDimensional Finset
local notation "E" K =>
({w : InfinitePlace K // IsReal w} → ℝ) × ({w : InfinitePlace K // IsComplex w} → ℂ)
noncomputable def _root_.NumberField.mixedEmbedding : K →+* (E K) :=
RingHom.prod (Pi.ringHom fun w => embedding_of_isReal w.prop)
(Pi.ringHom fun w => w.val.embedding)
instance [NumberField K] : Nontrivial (E K) := by
obtain ⟨w⟩ := (inferInstance : Nonempty (InfinitePlace K))
obtain hw | hw := w.isReal_or_isComplex
· have : Nonempty {w : InfinitePlace K // IsReal w} := ⟨⟨w, hw⟩⟩
exact nontrivial_prod_left
· have : Nonempty {w : InfinitePlace K // IsComplex w} := ⟨⟨w, hw⟩⟩
exact nontrivial_prod_right
protected theorem finrank [NumberField K] : finrank ℝ (E K) = finrank ℚ K := by
classical
rw [finrank_prod, finrank_pi, finrank_pi_fintype, Complex.finrank_real_complex, sum_const,
card_univ, ← NrRealPlaces, ← NrComplexPlaces, ← card_real_embeddings, Algebra.id.smul_eq_mul,
mul_comm, ← card_complex_embeddings, ← NumberField.Embeddings.card K ℂ,
Fintype.card_subtype_compl, Nat.add_sub_of_le (Fintype.card_subtype_le _)]
theorem _root_.NumberField.mixedEmbedding_injective [NumberField K] :
Function.Injective (NumberField.mixedEmbedding K) := by
exact RingHom.injective _
noncomputable section norm
open scoped Classical
variable {K}
def normAtPlace (w : InfinitePlace K) : (E K) →*₀ ℝ where
toFun x := if hw : IsReal w then ‖x.1 ⟨w, hw⟩‖ else ‖x.2 ⟨w, not_isReal_iff_isComplex.mp hw⟩‖
map_zero' := by simp
map_one' := by simp
map_mul' x y := by split_ifs <;> simp
theorem normAtPlace_nonneg (w : InfinitePlace K) (x : E K) :
0 ≤ normAtPlace w x := by
rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk]
split_ifs <;> exact norm_nonneg _
| Mathlib/NumberTheory/NumberField/CanonicalEmbedding/Basic.lean | 264 | 267 | theorem normAtPlace_neg (w : InfinitePlace K) (x : E K) :
normAtPlace w (- x) = normAtPlace w x := by |
rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk]
split_ifs <;> simp
|
import Mathlib.Algebra.Category.ModuleCat.Free
import Mathlib.Topology.Category.Profinite.CofilteredLimit
import Mathlib.Topology.Category.Profinite.Product
import Mathlib.Topology.LocallyConstant.Algebra
import Mathlib.Init.Data.Bool.Lemmas
universe u
namespace Profinite
namespace NobelingProof
variable {I : Type u} [LinearOrder I] [IsWellOrder I (·<·)] (C : Set (I → Bool))
open Profinite ContinuousMap CategoryTheory Limits Opposite Submodule
section Projections
variable (J K L : I → Prop) [∀ i, Decidable (J i)] [∀ i, Decidable (K i)] [∀ i, Decidable (L i)]
def Proj : (I → Bool) → (I → Bool) :=
fun c i ↦ if J i then c i else false
@[simp]
theorem continuous_proj :
Continuous (Proj J : (I → Bool) → (I → Bool)) := by
dsimp (config := { unfoldPartialApp := true }) [Proj]
apply continuous_pi
intro i
split
· apply continuous_apply
· apply continuous_const
def π : Set (I → Bool) := (Proj J) '' C
@[simps!]
def ProjRestrict : C → π C J :=
Set.MapsTo.restrict (Proj J) _ _ (Set.mapsTo_image _ _)
@[simp]
theorem continuous_projRestrict : Continuous (ProjRestrict C J) :=
Continuous.restrict _ (continuous_proj _)
theorem proj_eq_self {x : I → Bool} (h : ∀ i, x i ≠ false → J i) : Proj J x = x := by
ext i
simp only [Proj, ite_eq_left_iff]
contrapose!
simpa only [ne_comm] using h i
| Mathlib/Topology/Category/Profinite/Nobeling.lean | 119 | 123 | theorem proj_prop_eq_self (hh : ∀ i x, x ∈ C → x i ≠ false → J i) : π C J = C := by |
ext x
refine ⟨fun ⟨y, hy, h⟩ ↦ ?_, fun h ↦ ⟨x, h, ?_⟩⟩
· rwa [← h, proj_eq_self]; exact (hh · y hy)
· rw [proj_eq_self]; exact (hh · x h)
|
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Polynomial.BigOperators
import Mathlib.Algebra.Polynomial.Lifts
import Mathlib.Algebra.Polynomial.Splits
import Mathlib.RingTheory.RootsOfUnity.Complex
import Mathlib.NumberTheory.ArithmeticFunction
import Mathlib.RingTheory.RootsOfUnity.Basic
import Mathlib.FieldTheory.RatFunc.AsPolynomial
#align_import ring_theory.polynomial.cyclotomic.basic from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f"
open scoped Polynomial
noncomputable section
universe u
namespace Polynomial
section Cyclotomic'
section IsDomain
variable {R : Type*} [CommRing R] [IsDomain R]
def cyclotomic' (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : R[X] :=
∏ μ ∈ primitiveRoots n R, (X - C μ)
#align polynomial.cyclotomic' Polynomial.cyclotomic'
@[simp]
theorem cyclotomic'_zero (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' 0 R = 1 := by
simp only [cyclotomic', Finset.prod_empty, primitiveRoots_zero]
#align polynomial.cyclotomic'_zero Polynomial.cyclotomic'_zero
@[simp]
| Mathlib/RingTheory/Polynomial/Cyclotomic/Basic.lean | 78 | 80 | theorem cyclotomic'_one (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' 1 R = X - 1 := by |
simp only [cyclotomic', Finset.prod_singleton, RingHom.map_one,
IsPrimitiveRoot.primitiveRoots_one]
|
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]
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
#align iterated_deriv_within_one iteratedDerivWithin_one
theorem contDiffOn_of_continuousOn_differentiableOn_deriv {n : ℕ∞}
(Hcont : ∀ m : ℕ, (m : ℕ∞) ≤ n → ContinuousOn (fun x => iteratedDerivWithin m f s x) s)
(Hdiff : ∀ m : ℕ, (m : ℕ∞) < n → DifferentiableOn 𝕜 (fun x => iteratedDerivWithin m f s x) s) :
ContDiffOn 𝕜 n f s := by
apply contDiffOn_of_continuousOn_differentiableOn
· simpa only [iteratedFDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_continuousOn_iff]
· simpa only [iteratedFDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_differentiableOn_iff]
#align cont_diff_on_of_continuous_on_differentiable_on_deriv contDiffOn_of_continuousOn_differentiableOn_deriv
theorem contDiffOn_of_differentiableOn_deriv {n : ℕ∞}
(h : ∀ m : ℕ, (m : ℕ∞) ≤ n → DifferentiableOn 𝕜 (iteratedDerivWithin m f s) s) :
ContDiffOn 𝕜 n f s := by
apply contDiffOn_of_differentiableOn
simpa only [iteratedFDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_differentiableOn_iff]
#align cont_diff_on_of_differentiable_on_deriv contDiffOn_of_differentiableOn_deriv
theorem ContDiffOn.continuousOn_iteratedDerivWithin {n : ℕ∞} {m : ℕ} (h : ContDiffOn 𝕜 n f s)
(hmn : (m : ℕ∞) ≤ n) (hs : UniqueDiffOn 𝕜 s) : ContinuousOn (iteratedDerivWithin m f s) s := by
simpa only [iteratedDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_continuousOn_iff] using
h.continuousOn_iteratedFDerivWithin hmn hs
#align cont_diff_on.continuous_on_iterated_deriv_within ContDiffOn.continuousOn_iteratedDerivWithin
theorem ContDiffWithinAt.differentiableWithinAt_iteratedDerivWithin {n : ℕ∞} {m : ℕ}
(h : ContDiffWithinAt 𝕜 n f s x) (hmn : (m : ℕ∞) < n) (hs : UniqueDiffOn 𝕜 (insert x s)) :
DifferentiableWithinAt 𝕜 (iteratedDerivWithin m f s) s x := by
simpa only [iteratedDerivWithin_eq_equiv_comp,
LinearIsometryEquiv.comp_differentiableWithinAt_iff] using
h.differentiableWithinAt_iteratedFDerivWithin hmn hs
#align cont_diff_within_at.differentiable_within_at_iterated_deriv_within ContDiffWithinAt.differentiableWithinAt_iteratedDerivWithin
theorem ContDiffOn.differentiableOn_iteratedDerivWithin {n : ℕ∞} {m : ℕ} (h : ContDiffOn 𝕜 n f s)
(hmn : (m : ℕ∞) < n) (hs : UniqueDiffOn 𝕜 s) :
DifferentiableOn 𝕜 (iteratedDerivWithin m f s) s := fun x hx =>
(h x hx).differentiableWithinAt_iteratedDerivWithin hmn <| by rwa [insert_eq_of_mem hx]
#align cont_diff_on.differentiable_on_iterated_deriv_within ContDiffOn.differentiableOn_iteratedDerivWithin
theorem contDiffOn_iff_continuousOn_differentiableOn_deriv {n : ℕ∞} (hs : UniqueDiffOn 𝕜 s) :
ContDiffOn 𝕜 n f s ↔ (∀ m : ℕ, (m : ℕ∞) ≤ n → ContinuousOn (iteratedDerivWithin m f s) s) ∧
∀ m : ℕ, (m : ℕ∞) < n → DifferentiableOn 𝕜 (iteratedDerivWithin m f s) s := by
simp only [contDiffOn_iff_continuousOn_differentiableOn hs, iteratedFDerivWithin_eq_equiv_comp,
LinearIsometryEquiv.comp_continuousOn_iff, LinearIsometryEquiv.comp_differentiableOn_iff]
#align cont_diff_on_iff_continuous_on_differentiable_on_deriv contDiffOn_iff_continuousOn_differentiableOn_deriv
theorem iteratedDerivWithin_succ {x : 𝕜} (hxs : UniqueDiffWithinAt 𝕜 s x) :
iteratedDerivWithin (n + 1) f s x = derivWithin (iteratedDerivWithin n f s) s x := by
rw [iteratedDerivWithin_eq_iteratedFDerivWithin, iteratedFDerivWithin_succ_apply_left,
iteratedFDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_fderivWithin _ hxs, derivWithin]
change ((ContinuousMultilinearMap.mkPiRing 𝕜 (Fin n) ((fderivWithin 𝕜
(iteratedDerivWithin n f s) s x : 𝕜 → F) 1) : (Fin n → 𝕜) → F) fun i : Fin n => 1) =
(fderivWithin 𝕜 (iteratedDerivWithin n f s) s x : 𝕜 → F) 1
simp
#align iterated_deriv_within_succ iteratedDerivWithin_succ
theorem iteratedDerivWithin_eq_iterate {x : 𝕜} (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
iteratedDerivWithin n f s x = (fun g : 𝕜 → F => derivWithin g s)^[n] f x := by
induction' n with n IH generalizing x
· simp
· rw [iteratedDerivWithin_succ (hs x hx), Function.iterate_succ']
exact derivWithin_congr (fun y hy => IH hy) (IH hx)
#align iterated_deriv_within_eq_iterate iteratedDerivWithin_eq_iterate
theorem iteratedDerivWithin_succ' {x : 𝕜} (hxs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
iteratedDerivWithin (n + 1) f s x = (iteratedDerivWithin n (derivWithin f s) s) x := by
rw [iteratedDerivWithin_eq_iterate hxs hx, iteratedDerivWithin_eq_iterate hxs hx]; rfl
#align iterated_deriv_within_succ' iteratedDerivWithin_succ'
theorem iteratedDeriv_eq_iteratedFDeriv :
iteratedDeriv n f x = (iteratedFDeriv 𝕜 n f x : (Fin n → 𝕜) → F) fun _ : Fin n => 1 :=
rfl
#align iterated_deriv_eq_iterated_fderiv iteratedDeriv_eq_iteratedFDeriv
theorem iteratedDeriv_eq_equiv_comp : iteratedDeriv n f =
(ContinuousMultilinearMap.piFieldEquiv 𝕜 (Fin n) F).symm ∘ iteratedFDeriv 𝕜 n f := by
ext x; rfl
#align iterated_deriv_eq_equiv_comp iteratedDeriv_eq_equiv_comp
theorem iteratedFDeriv_eq_equiv_comp : iteratedFDeriv 𝕜 n f =
ContinuousMultilinearMap.piFieldEquiv 𝕜 (Fin n) F ∘ iteratedDeriv n f := by
rw [iteratedDeriv_eq_equiv_comp, ← Function.comp.assoc, LinearIsometryEquiv.self_comp_symm,
Function.id_comp]
#align iterated_fderiv_eq_equiv_comp iteratedFDeriv_eq_equiv_comp
theorem iteratedFDeriv_apply_eq_iteratedDeriv_mul_prod {m : Fin n → 𝕜} :
(iteratedFDeriv 𝕜 n f x : (Fin n → 𝕜) → F) m = (∏ i, m i) • iteratedDeriv n f x := by
rw [iteratedDeriv_eq_iteratedFDeriv, ← ContinuousMultilinearMap.map_smul_univ]; simp
#align iterated_fderiv_apply_eq_iterated_deriv_mul_prod iteratedFDeriv_apply_eq_iteratedDeriv_mul_prod
theorem norm_iteratedFDeriv_eq_norm_iteratedDeriv :
‖iteratedFDeriv 𝕜 n f x‖ = ‖iteratedDeriv n f x‖ := by
rw [iteratedDeriv_eq_equiv_comp, Function.comp_apply, LinearIsometryEquiv.norm_map]
#align norm_iterated_fderiv_eq_norm_iterated_deriv norm_iteratedFDeriv_eq_norm_iteratedDeriv
@[simp]
theorem iteratedDeriv_zero : iteratedDeriv 0 f = f := by ext x; simp [iteratedDeriv]
#align iterated_deriv_zero iteratedDeriv_zero
@[simp]
theorem iteratedDeriv_one : iteratedDeriv 1 f = deriv f := by ext x; simp [iteratedDeriv]; rfl
#align iterated_deriv_one iteratedDeriv_one
theorem contDiff_iff_iteratedDeriv {n : ℕ∞} : ContDiff 𝕜 n f ↔
(∀ m : ℕ, (m : ℕ∞) ≤ n → Continuous (iteratedDeriv m f)) ∧
∀ m : ℕ, (m : ℕ∞) < n → Differentiable 𝕜 (iteratedDeriv m f) := by
simp only [contDiff_iff_continuous_differentiable, iteratedFDeriv_eq_equiv_comp,
LinearIsometryEquiv.comp_continuous_iff, LinearIsometryEquiv.comp_differentiable_iff]
#align cont_diff_iff_iterated_deriv contDiff_iff_iteratedDeriv
theorem contDiff_of_differentiable_iteratedDeriv {n : ℕ∞}
(h : ∀ m : ℕ, (m : ℕ∞) ≤ n → Differentiable 𝕜 (iteratedDeriv m f)) : ContDiff 𝕜 n f :=
contDiff_iff_iteratedDeriv.2 ⟨fun m hm => (h m hm).continuous, fun m hm => h m (le_of_lt hm)⟩
#align cont_diff_of_differentiable_iterated_deriv contDiff_of_differentiable_iteratedDeriv
theorem ContDiff.continuous_iteratedDeriv {n : ℕ∞} (m : ℕ) (h : ContDiff 𝕜 n f)
(hmn : (m : ℕ∞) ≤ n) : Continuous (iteratedDeriv m f) :=
(contDiff_iff_iteratedDeriv.1 h).1 m hmn
#align cont_diff.continuous_iterated_deriv ContDiff.continuous_iteratedDeriv
theorem ContDiff.differentiable_iteratedDeriv {n : ℕ∞} (m : ℕ) (h : ContDiff 𝕜 n f)
(hmn : (m : ℕ∞) < n) : Differentiable 𝕜 (iteratedDeriv m f) :=
(contDiff_iff_iteratedDeriv.1 h).2 m hmn
#align cont_diff.differentiable_iterated_deriv ContDiff.differentiable_iteratedDeriv
theorem iteratedDeriv_succ : iteratedDeriv (n + 1) f = deriv (iteratedDeriv n f) := by
ext x
rw [← iteratedDerivWithin_univ, ← iteratedDerivWithin_univ, ← derivWithin_univ]
exact iteratedDerivWithin_succ uniqueDiffWithinAt_univ
#align iterated_deriv_succ iteratedDeriv_succ
theorem iteratedDeriv_eq_iterate : iteratedDeriv n f = deriv^[n] f := by
ext x
rw [← iteratedDerivWithin_univ]
convert iteratedDerivWithin_eq_iterate uniqueDiffOn_univ (F := F) (mem_univ x)
simp [derivWithin_univ]
#align iterated_deriv_eq_iterate iteratedDeriv_eq_iterate
| Mathlib/Analysis/Calculus/IteratedDeriv/Defs.lean | 302 | 303 | theorem iteratedDeriv_succ' : iteratedDeriv (n + 1) f = iteratedDeriv n (deriv f) := by |
rw [iteratedDeriv_eq_iterate, iteratedDeriv_eq_iterate]; rfl
|
import Batteries.Control.ForInStep.Basic
@[simp] theorem ForInStep.bind_done [Monad m] (a : α) (f : α → m (ForInStep α)) :
(ForInStep.done a).bind (m := m) f = pure (.done a) := rfl
@[simp] theorem ForInStep.bind_yield [Monad m] (a : α) (f : α → m (ForInStep α)) :
(ForInStep.yield a).bind (m := m) f = f a := rfl
attribute [simp] ForInStep.bindM
@[simp] theorem ForInStep.run_done : (ForInStep.done a).run = a := rfl
@[simp] theorem ForInStep.run_yield : (ForInStep.yield a).run = a := rfl
@[simp] theorem ForInStep.bindList_nil [Monad m] (f : α → β → m (ForInStep β))
(s : ForInStep β) : s.bindList f [] = pure s := rfl
@[simp] theorem ForInStep.bindList_cons [Monad m]
(f : α → β → m (ForInStep β)) (s : ForInStep β) (a l) :
s.bindList f (a::l) = s.bind fun b => f a b >>= (·.bindList f l) := rfl
@[simp] theorem ForInStep.done_bindList [Monad m]
(f : α → β → m (ForInStep β)) (a l) :
(ForInStep.done a).bindList f l = pure (.done a) := by cases l <;> simp
@[simp] theorem ForInStep.bind_yield_bindList [Monad m]
(f : α → β → m (ForInStep β)) (s : ForInStep β) (l) :
(s.bind fun a => (yield a).bindList f l) = s.bindList f l := by cases s <;> simp
@[simp] theorem ForInStep.bind_bindList_assoc [Monad m] [LawfulMonad m]
(f : β → m (ForInStep β)) (g : α → β → m (ForInStep β)) (s : ForInStep β) (l) :
s.bind f >>= (·.bindList g l) = s.bind fun b => f b >>= (·.bindList g l) := by
cases s <;> simp
| .lake/packages/batteries/Batteries/Control/ForInStep/Lemmas.lean | 40 | 42 | theorem ForInStep.bindList_cons' [Monad m] [LawfulMonad m]
(f : α → β → m (ForInStep β)) (s : ForInStep β) (a l) :
s.bindList f (a::l) = s.bind (f a) >>= (·.bindList f l) := by | simp
|
import Mathlib.Init.Core
import Mathlib.LinearAlgebra.AffineSpace.Basis
import Mathlib.LinearAlgebra.FiniteDimensional
#align_import linear_algebra.affine_space.finite_dimensional from "leanprover-community/mathlib"@"67e606eaea14c7854bdc556bd53d98aefdf76ec0"
noncomputable section
open Affine
section DivisionRing
variable {k : Type*} {V : Type*} {P : Type*}
open AffineSubspace FiniteDimensional Module
variable [DivisionRing k] [AddCommGroup V] [Module k V] [AffineSpace V P]
| Mathlib/LinearAlgebra/AffineSpace/FiniteDimensional.lean | 747 | 775 | theorem finrank_vectorSpan_insert_le (s : AffineSubspace k P) (p : P) :
finrank k (vectorSpan k (insert p (s : Set P))) ≤ finrank k s.direction + 1 := by |
by_cases hf : FiniteDimensional k s.direction; swap
· have hf' : ¬FiniteDimensional k (vectorSpan k (insert p (s : Set P))) := by
intro h
have h' : s.direction ≤ vectorSpan k (insert p (s : Set P)) := by
conv_lhs => rw [← affineSpan_coe s, direction_affineSpan]
exact vectorSpan_mono k (Set.subset_insert _ _)
exact hf (Submodule.finiteDimensional_of_le h')
rw [finrank_of_infinite_dimensional hf, finrank_of_infinite_dimensional hf', zero_add]
exact zero_le_one
have : FiniteDimensional k s.direction := hf
rw [← direction_affineSpan, ← affineSpan_insert_affineSpan]
rcases (s : Set P).eq_empty_or_nonempty with (hs | ⟨p₀, hp₀⟩)
· rw [coe_eq_bot_iff] at hs
rw [hs, bot_coe, span_empty, bot_coe, direction_affineSpan, direction_bot, finrank_bot,
zero_add]
convert zero_le_one' ℕ
rw [← finrank_bot k V]
convert rfl <;> simp
· rw [affineSpan_coe, direction_affineSpan_insert hp₀, add_comm]
refine (Submodule.finrank_add_le_finrank_add_finrank _ _).trans (add_le_add_right ?_ _)
refine finrank_le_one ⟨p -ᵥ p₀, Submodule.mem_span_singleton_self _⟩ fun v => ?_
have h := v.property
rw [Submodule.mem_span_singleton] at h
rcases h with ⟨c, hc⟩
refine ⟨c, ?_⟩
ext
exact hc
|
import Mathlib.Algebra.GroupWithZero.Indicator
import Mathlib.Algebra.Module.Basic
import Mathlib.Topology.Separation
#align_import topology.support from "leanprover-community/mathlib"@"d90e4e186f1d18e375dcd4e5b5f6364b01cb3e46"
open Function Set Filter Topology
variable {X α α' β γ δ M E R : Type*}
section One
variable [One α] [TopologicalSpace X]
@[to_additive " The topological support of a function is the closure of its support. i.e. the
closure of the set of all elements where the function is nonzero. "]
def mulTSupport (f : X → α) : Set X := closure (mulSupport f)
#align mul_tsupport mulTSupport
#align tsupport tsupport
@[to_additive]
theorem subset_mulTSupport (f : X → α) : mulSupport f ⊆ mulTSupport f :=
subset_closure
#align subset_mul_tsupport subset_mulTSupport
#align subset_tsupport subset_tsupport
@[to_additive]
theorem isClosed_mulTSupport (f : X → α) : IsClosed (mulTSupport f) :=
isClosed_closure
#align is_closed_mul_tsupport isClosed_mulTSupport
#align is_closed_tsupport isClosed_tsupport
@[to_additive]
| Mathlib/Topology/Support.lean | 63 | 64 | theorem mulTSupport_eq_empty_iff {f : X → α} : mulTSupport f = ∅ ↔ f = 1 := by |
rw [mulTSupport, closure_empty_iff, mulSupport_eq_empty_iff]
|
import Mathlib.RingTheory.Valuation.Basic
import Mathlib.NumberTheory.Padics.PadicNorm
import Mathlib.Analysis.Normed.Field.Basic
#align_import number_theory.padics.padic_numbers from "leanprover-community/mathlib"@"b9b2114f7711fec1c1e055d507f082f8ceb2c3b7"
noncomputable section
open scoped Classical
open Nat multiplicity padicNorm CauSeq CauSeq.Completion Metric
abbrev PadicSeq (p : ℕ) :=
CauSeq _ (padicNorm p)
#align padic_seq PadicSeq
namespace PadicSeq
section
variable {p : ℕ} [Fact p.Prime]
theorem stationary {f : CauSeq ℚ (padicNorm p)} (hf : ¬f ≈ 0) :
∃ N, ∀ m n, N ≤ m → N ≤ n → padicNorm p (f n) = padicNorm p (f m) :=
have : ∃ ε > 0, ∃ N1, ∀ j ≥ N1, ε ≤ padicNorm p (f j) :=
CauSeq.abv_pos_of_not_limZero <| not_limZero_of_not_congr_zero hf
let ⟨ε, hε, N1, hN1⟩ := this
let ⟨N2, hN2⟩ := CauSeq.cauchy₂ f hε
⟨max N1 N2, fun n m hn hm ↦ by
have : padicNorm p (f n - f m) < ε := hN2 _ (max_le_iff.1 hn).2 _ (max_le_iff.1 hm).2
have : padicNorm p (f n - f m) < padicNorm p (f n) :=
lt_of_lt_of_le this <| hN1 _ (max_le_iff.1 hn).1
have : padicNorm p (f n - f m) < max (padicNorm p (f n)) (padicNorm p (f m)) :=
lt_max_iff.2 (Or.inl this)
by_contra hne
rw [← padicNorm.neg (f m)] at hne
have hnam := add_eq_max_of_ne hne
rw [padicNorm.neg, max_comm] at hnam
rw [← hnam, sub_eq_add_neg, add_comm] at this
apply _root_.lt_irrefl _ this⟩
#align padic_seq.stationary PadicSeq.stationary
def stationaryPoint {f : PadicSeq p} (hf : ¬f ≈ 0) : ℕ :=
Classical.choose <| stationary hf
#align padic_seq.stationary_point PadicSeq.stationaryPoint
theorem stationaryPoint_spec {f : PadicSeq p} (hf : ¬f ≈ 0) :
∀ {m n},
stationaryPoint hf ≤ m → stationaryPoint hf ≤ n → padicNorm p (f n) = padicNorm p (f m) :=
@(Classical.choose_spec <| stationary hf)
#align padic_seq.stationary_point_spec PadicSeq.stationaryPoint_spec
def norm (f : PadicSeq p) : ℚ :=
if hf : f ≈ 0 then 0 else padicNorm p (f (stationaryPoint hf))
#align padic_seq.norm PadicSeq.norm
theorem norm_zero_iff (f : PadicSeq p) : f.norm = 0 ↔ f ≈ 0 := by
constructor
· intro h
by_contra hf
unfold norm at h
split_ifs at h
· contradiction
apply hf
intro ε hε
exists stationaryPoint hf
intro j hj
have heq := stationaryPoint_spec hf le_rfl hj
simpa [h, heq]
· intro h
simp [norm, h]
#align padic_seq.norm_zero_iff PadicSeq.norm_zero_iff
end
section Embedding
open CauSeq
variable {p : ℕ} [Fact p.Prime]
theorem equiv_zero_of_val_eq_of_equiv_zero {f g : PadicSeq p}
(h : ∀ k, padicNorm p (f k) = padicNorm p (g k)) (hf : f ≈ 0) : g ≈ 0 := fun ε hε ↦
let ⟨i, hi⟩ := hf _ hε
⟨i, fun j hj ↦ by simpa [h] using hi _ hj⟩
#align padic_seq.equiv_zero_of_val_eq_of_equiv_zero PadicSeq.equiv_zero_of_val_eq_of_equiv_zero
theorem norm_nonzero_of_not_equiv_zero {f : PadicSeq p} (hf : ¬f ≈ 0) : f.norm ≠ 0 :=
hf ∘ f.norm_zero_iff.1
#align padic_seq.norm_nonzero_of_not_equiv_zero PadicSeq.norm_nonzero_of_not_equiv_zero
theorem norm_eq_norm_app_of_nonzero {f : PadicSeq p} (hf : ¬f ≈ 0) :
∃ k, f.norm = padicNorm p k ∧ k ≠ 0 :=
have heq : f.norm = padicNorm p (f <| stationaryPoint hf) := by simp [norm, hf]
⟨f <| stationaryPoint hf, heq, fun h ↦
norm_nonzero_of_not_equiv_zero hf (by simpa [h] using heq)⟩
#align padic_seq.norm_eq_norm_app_of_nonzero PadicSeq.norm_eq_norm_app_of_nonzero
theorem not_limZero_const_of_nonzero {q : ℚ} (hq : q ≠ 0) : ¬LimZero (const (padicNorm p) q) :=
fun h' ↦ hq <| const_limZero.1 h'
#align padic_seq.not_lim_zero_const_of_nonzero PadicSeq.not_limZero_const_of_nonzero
theorem not_equiv_zero_const_of_nonzero {q : ℚ} (hq : q ≠ 0) : ¬const (padicNorm p) q ≈ 0 :=
fun h : LimZero (const (padicNorm p) q - 0) ↦ not_limZero_const_of_nonzero hq <| by simpa using h
#align padic_seq.not_equiv_zero_const_of_nonzero PadicSeq.not_equiv_zero_const_of_nonzero
theorem norm_nonneg (f : PadicSeq p) : 0 ≤ f.norm :=
if hf : f ≈ 0 then by simp [hf, norm] else by simp [norm, hf, padicNorm.nonneg]
#align padic_seq.norm_nonneg PadicSeq.norm_nonneg
theorem lift_index_left_left {f : PadicSeq p} (hf : ¬f ≈ 0) (v2 v3 : ℕ) :
padicNorm p (f (stationaryPoint hf)) =
padicNorm p (f (max (stationaryPoint hf) (max v2 v3))) := by
apply stationaryPoint_spec hf
· apply le_max_left
· exact le_rfl
#align padic_seq.lift_index_left_left PadicSeq.lift_index_left_left
theorem lift_index_left {f : PadicSeq p} (hf : ¬f ≈ 0) (v1 v3 : ℕ) :
padicNorm p (f (stationaryPoint hf)) =
padicNorm p (f (max v1 (max (stationaryPoint hf) v3))) := by
apply stationaryPoint_spec hf
· apply le_trans
· apply le_max_left _ v3
· apply le_max_right
· exact le_rfl
#align padic_seq.lift_index_left PadicSeq.lift_index_left
| Mathlib/NumberTheory/Padics/PadicNumbers.lean | 196 | 203 | theorem lift_index_right {f : PadicSeq p} (hf : ¬f ≈ 0) (v1 v2 : ℕ) :
padicNorm p (f (stationaryPoint hf)) =
padicNorm p (f (max v1 (max v2 (stationaryPoint hf)))) := by |
apply stationaryPoint_spec hf
· apply le_trans
· apply le_max_right v2
· apply le_max_right
· exact le_rfl
|
import Mathlib.Data.DFinsupp.Order
#align_import data.dfinsupp.multiset from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d"
open Function
variable {α : Type*} {β : α → Type*}
namespace Multiset
variable [DecidableEq α] {s t : Multiset α}
def toDFinsupp : Multiset α →+ Π₀ _ : α, ℕ where
toFun s :=
{ toFun := fun n ↦ s.count n
support' := Trunc.mk ⟨s, fun i ↦ (em (i ∈ s)).imp_right Multiset.count_eq_zero_of_not_mem⟩ }
map_zero' := rfl
map_add' _ _ := DFinsupp.ext fun _ ↦ Multiset.count_add _ _ _
#align multiset.to_dfinsupp Multiset.toDFinsupp
@[simp]
theorem toDFinsupp_apply (s : Multiset α) (a : α) : Multiset.toDFinsupp s a = s.count a :=
rfl
#align multiset.to_dfinsupp_apply Multiset.toDFinsupp_apply
@[simp]
theorem toDFinsupp_support (s : Multiset α) : s.toDFinsupp.support = s.toFinset :=
Finset.filter_true_of_mem fun _ hx ↦ count_ne_zero.mpr <| Multiset.mem_toFinset.1 hx
#align multiset.to_dfinsupp_support Multiset.toDFinsupp_support
@[simp]
theorem toDFinsupp_replicate (a : α) (n : ℕ) :
toDFinsupp (Multiset.replicate n a) = DFinsupp.single a n := by
ext i
dsimp [toDFinsupp]
simp [count_replicate, eq_comm]
#align multiset.to_dfinsupp_replicate Multiset.toDFinsupp_replicate
@[simp]
| Mathlib/Data/DFinsupp/Multiset.lean | 75 | 76 | theorem toDFinsupp_singleton (a : α) : toDFinsupp {a} = DFinsupp.single a 1 := by |
rw [← replicate_one, toDFinsupp_replicate]
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Reverse
import Mathlib.Algebra.Polynomial.Inductions
import Mathlib.RingTheory.Localization.Basic
#align_import data.polynomial.laurent from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86"
open Polynomial Function AddMonoidAlgebra Finsupp
noncomputable section
variable {R : Type*}
abbrev LaurentPolynomial (R : Type*) [Semiring R] :=
AddMonoidAlgebra R ℤ
#align laurent_polynomial LaurentPolynomial
@[nolint docBlame]
scoped[LaurentPolynomial] notation:9000 R "[T;T⁻¹]" => LaurentPolynomial R
open LaurentPolynomial
-- Porting note: `ext` no longer applies `Finsupp.ext` automatically
@[ext]
theorem LaurentPolynomial.ext [Semiring R] {p q : R[T;T⁻¹]} (h : ∀ a, p a = q a) : p = q :=
Finsupp.ext h
def Polynomial.toLaurent [Semiring R] : R[X] →+* R[T;T⁻¹] :=
(mapDomainRingHom R Int.ofNatHom).comp (toFinsuppIso R)
#align polynomial.to_laurent Polynomial.toLaurent
theorem Polynomial.toLaurent_apply [Semiring R] (p : R[X]) :
toLaurent p = p.toFinsupp.mapDomain (↑) :=
rfl
#align polynomial.to_laurent_apply Polynomial.toLaurent_apply
def Polynomial.toLaurentAlg [CommSemiring R] : R[X] →ₐ[R] R[T;T⁻¹] :=
(mapDomainAlgHom R R Int.ofNatHom).comp (toFinsuppIsoAlg R).toAlgHom
#align polynomial.to_laurent_alg Polynomial.toLaurentAlg
@[simp] lemma Polynomial.coe_toLaurentAlg [CommSemiring R] :
(toLaurentAlg : R[X] → R[T;T⁻¹]) = toLaurent :=
rfl
theorem Polynomial.toLaurentAlg_apply [CommSemiring R] (f : R[X]) : toLaurentAlg f = toLaurent f :=
rfl
#align polynomial.to_laurent_alg_apply Polynomial.toLaurentAlg_apply
namespace LaurentPolynomial
section Semiring
variable [Semiring R]
theorem single_zero_one_eq_one : (Finsupp.single 0 1 : R[T;T⁻¹]) = (1 : R[T;T⁻¹]) :=
rfl
#align laurent_polynomial.single_zero_one_eq_one LaurentPolynomial.single_zero_one_eq_one
def C : R →+* R[T;T⁻¹] :=
singleZeroRingHom
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.C LaurentPolynomial.C
theorem algebraMap_apply {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (r : R) :
algebraMap R (LaurentPolynomial A) r = C (algebraMap R A r) :=
rfl
#align laurent_polynomial.algebra_map_apply LaurentPolynomial.algebraMap_apply
theorem C_eq_algebraMap {R : Type*} [CommSemiring R] (r : R) : C r = algebraMap R R[T;T⁻¹] r :=
rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.C_eq_algebra_map LaurentPolynomial.C_eq_algebraMap
theorem single_eq_C (r : R) : Finsupp.single 0 r = C r := rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.single_eq_C LaurentPolynomial.single_eq_C
@[simp] lemma C_apply (t : R) (n : ℤ) : C t n = if n = 0 then t else 0 := by
rw [← single_eq_C, Finsupp.single_apply]; aesop
def T (n : ℤ) : R[T;T⁻¹] :=
Finsupp.single n 1
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T LaurentPolynomial.T
@[simp] lemma T_apply (m n : ℤ) : (T n : R[T;T⁻¹]) m = if n = m then 1 else 0 :=
Finsupp.single_apply
@[simp]
theorem T_zero : (T 0 : R[T;T⁻¹]) = 1 :=
rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_zero LaurentPolynomial.T_zero
theorem T_add (m n : ℤ) : (T (m + n) : R[T;T⁻¹]) = T m * T n := by
-- Porting note: was `convert single_mul_single.symm`
simp [T, single_mul_single]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_add LaurentPolynomial.T_add
| Mathlib/Algebra/Polynomial/Laurent.lean | 191 | 191 | theorem T_sub (m n : ℤ) : (T (m - n) : R[T;T⁻¹]) = T m * T (-n) := by | rw [← T_add, sub_eq_add_neg]
|
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
| Mathlib/Order/Bounded.lean | 54 | 55 | theorem unbounded_lt_iff [LinearOrder α] : Unbounded (· < ·) s ↔ ∀ a, ∃ b ∈ s, a ≤ b := by |
simp only [Unbounded, not_lt]
|
import Mathlib.LinearAlgebra.Dimension.Free
import Mathlib.Algebra.Module.Torsion
#align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5"
noncomputable section
universe u v v' u₁' w w'
variable {R S : Type u} {M : Type v} {M' : Type v'} {M₁ : Type v}
variable {ι : Type w} {ι' : Type w'} {η : Type u₁'} {φ : η → Type*}
open Cardinal Basis Submodule Function Set FiniteDimensional DirectSum
variable [Ring R] [CommRing S] [AddCommGroup M] [AddCommGroup M'] [AddCommGroup M₁]
variable [Module R M] [Module R M'] [Module R M₁]
section Finsupp
variable (R M M')
variable [StrongRankCondition R] [Module.Free R M] [Module.Free R M']
open Module.Free
@[simp]
theorem rank_finsupp (ι : Type w) :
Module.rank R (ι →₀ M) = Cardinal.lift.{v} #ι * Cardinal.lift.{w} (Module.rank R M) := by
obtain ⟨⟨_, bs⟩⟩ := Module.Free.exists_basis (R := R) (M := M)
rw [← bs.mk_eq_rank'', ← (Finsupp.basis fun _ : ι => bs).mk_eq_rank'', Cardinal.mk_sigma,
Cardinal.sum_const]
#align rank_finsupp rank_finsupp
theorem rank_finsupp' (ι : Type v) : Module.rank R (ι →₀ M) = #ι * Module.rank R M := by
simp [rank_finsupp]
#align rank_finsupp' rank_finsupp'
-- Porting note, this should not be `@[simp]`, as simp can prove it.
-- @[simp]
theorem rank_finsupp_self (ι : Type w) : Module.rank R (ι →₀ R) = Cardinal.lift.{u} #ι := by
simp [rank_finsupp]
#align rank_finsupp_self rank_finsupp_self
theorem rank_finsupp_self' {ι : Type u} : Module.rank R (ι →₀ R) = #ι := by simp
#align rank_finsupp_self' rank_finsupp_self'
@[simp]
theorem rank_directSum {ι : Type v} (M : ι → Type w) [∀ i : ι, AddCommGroup (M i)]
[∀ i : ι, Module R (M i)] [∀ i : ι, Module.Free R (M i)] :
Module.rank R (⨁ i, M i) = Cardinal.sum fun i => Module.rank R (M i) := by
let B i := chooseBasis R (M i)
let b : Basis _ R (⨁ i, M i) := DFinsupp.basis fun i => B i
simp [← b.mk_eq_rank'', fun i => (B i).mk_eq_rank'']
#align rank_direct_sum rank_directSum
@[simp]
theorem rank_matrix (m : Type v) (n : Type w) [Finite m] [Finite n] :
Module.rank R (Matrix m n R) =
Cardinal.lift.{max v w u, v} #m * Cardinal.lift.{max v w u, w} #n := by
cases nonempty_fintype m
cases nonempty_fintype n
have h := (Matrix.stdBasis R m n).mk_eq_rank
rw [← lift_lift.{max v w u, max v w}, lift_inj] at h
simpa using h.symm
#align rank_matrix rank_matrix
@[simp high]
theorem rank_matrix' (m n : Type v) [Finite m] [Finite n] :
Module.rank R (Matrix m n R) = Cardinal.lift.{u} (#m * #n) := by
rw [rank_matrix, lift_mul, lift_umax.{v, u}]
#align rank_matrix' rank_matrix'
-- @[simp] -- Porting note (#10618): simp can prove this
theorem rank_matrix'' (m n : Type u) [Finite m] [Finite n] :
Module.rank R (Matrix m n R) = #m * #n := by simp
#align rank_matrix'' rank_matrix''
variable [Module.Finite R M] [Module.Finite R M']
open Fintype
section TensorProduct
open TensorProduct
variable [StrongRankCondition S]
variable [Module S M] [Module.Free S M] [Module S M'] [Module.Free S M']
variable [Module S M₁] [Module.Free S M₁]
open Module.Free
@[simp]
| Mathlib/LinearAlgebra/Dimension/Constructions.lean | 359 | 364 | theorem rank_tensorProduct :
Module.rank S (M ⊗[S] M') =
Cardinal.lift.{v'} (Module.rank S M) * Cardinal.lift.{v} (Module.rank S M') := by |
obtain ⟨⟨_, bM⟩⟩ := Module.Free.exists_basis (R := S) (M := M)
obtain ⟨⟨_, bN⟩⟩ := Module.Free.exists_basis (R := S) (M := M')
rw [← bM.mk_eq_rank'', ← bN.mk_eq_rank'', ← (bM.tensorProduct bN).mk_eq_rank'', Cardinal.mk_prod]
|
import Mathlib.Analysis.NormedSpace.AddTorsorBases
#align_import analysis.convex.intrinsic from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open AffineSubspace Set
open scoped Pointwise
variable {𝕜 V W Q P : Type*}
section AddTorsor
variable (𝕜) [Ring 𝕜] [AddCommGroup V] [Module 𝕜 V] [TopologicalSpace P] [AddTorsor V P]
{s t : Set P} {x : P}
def intrinsicInterior (s : Set P) : Set P :=
(↑) '' interior ((↑) ⁻¹' s : Set <| affineSpan 𝕜 s)
#align intrinsic_interior intrinsicInterior
def intrinsicFrontier (s : Set P) : Set P :=
(↑) '' frontier ((↑) ⁻¹' s : Set <| affineSpan 𝕜 s)
#align intrinsic_frontier intrinsicFrontier
def intrinsicClosure (s : Set P) : Set P :=
(↑) '' closure ((↑) ⁻¹' s : Set <| affineSpan 𝕜 s)
#align intrinsic_closure intrinsicClosure
variable {𝕜}
@[simp]
theorem mem_intrinsicInterior :
x ∈ intrinsicInterior 𝕜 s ↔ ∃ y, y ∈ interior ((↑) ⁻¹' s : Set <| affineSpan 𝕜 s) ∧ ↑y = x :=
mem_image _ _ _
#align mem_intrinsic_interior mem_intrinsicInterior
@[simp]
theorem mem_intrinsicFrontier :
x ∈ intrinsicFrontier 𝕜 s ↔ ∃ y, y ∈ frontier ((↑) ⁻¹' s : Set <| affineSpan 𝕜 s) ∧ ↑y = x :=
mem_image _ _ _
#align mem_intrinsic_frontier mem_intrinsicFrontier
@[simp]
theorem mem_intrinsicClosure :
x ∈ intrinsicClosure 𝕜 s ↔ ∃ y, y ∈ closure ((↑) ⁻¹' s : Set <| affineSpan 𝕜 s) ∧ ↑y = x :=
mem_image _ _ _
#align mem_intrinsic_closure mem_intrinsicClosure
theorem intrinsicInterior_subset : intrinsicInterior 𝕜 s ⊆ s :=
image_subset_iff.2 interior_subset
#align intrinsic_interior_subset intrinsicInterior_subset
theorem intrinsicFrontier_subset (hs : IsClosed s) : intrinsicFrontier 𝕜 s ⊆ s :=
image_subset_iff.2 (hs.preimage continuous_induced_dom).frontier_subset
#align intrinsic_frontier_subset intrinsicFrontier_subset
theorem intrinsicFrontier_subset_intrinsicClosure : intrinsicFrontier 𝕜 s ⊆ intrinsicClosure 𝕜 s :=
image_subset _ frontier_subset_closure
#align intrinsic_frontier_subset_intrinsic_closure intrinsicFrontier_subset_intrinsicClosure
theorem subset_intrinsicClosure : s ⊆ intrinsicClosure 𝕜 s :=
fun x hx => ⟨⟨x, subset_affineSpan _ _ hx⟩, subset_closure hx, rfl⟩
#align subset_intrinsic_closure subset_intrinsicClosure
@[simp]
theorem intrinsicInterior_empty : intrinsicInterior 𝕜 (∅ : Set P) = ∅ := by simp [intrinsicInterior]
#align intrinsic_interior_empty intrinsicInterior_empty
@[simp]
theorem intrinsicFrontier_empty : intrinsicFrontier 𝕜 (∅ : Set P) = ∅ := by simp [intrinsicFrontier]
#align intrinsic_frontier_empty intrinsicFrontier_empty
@[simp]
| Mathlib/Analysis/Convex/Intrinsic.lean | 120 | 120 | theorem intrinsicClosure_empty : intrinsicClosure 𝕜 (∅ : Set P) = ∅ := by | simp [intrinsicClosure]
|
import Mathlib.RingTheory.PowerSeries.Trunc
import Mathlib.RingTheory.PowerSeries.Inverse
import Mathlib.RingTheory.Derivation.Basic
namespace PowerSeries
open Polynomial Derivation Nat
section CommutativeSemiring
variable {R} [CommSemiring R]
noncomputable def derivativeFun (f : R⟦X⟧) : R⟦X⟧ := mk fun n ↦ coeff R (n + 1) f * (n + 1)
theorem coeff_derivativeFun (f : R⟦X⟧) (n : ℕ) :
coeff R n f.derivativeFun = coeff R (n + 1) f * (n + 1) := by
rw [derivativeFun, coeff_mk]
theorem derivativeFun_coe (f : R[X]) : (f : R⟦X⟧).derivativeFun = derivative f := by
ext
rw [coeff_derivativeFun, coeff_coe, coeff_coe, coeff_derivative]
| Mathlib/RingTheory/PowerSeries/Derivative.lean | 49 | 53 | theorem derivativeFun_add (f g : R⟦X⟧) :
derivativeFun (f + g) = derivativeFun f + derivativeFun g := by |
ext
rw [coeff_derivativeFun, map_add, map_add, coeff_derivativeFun,
coeff_derivativeFun, add_mul]
|
import Mathlib.Analysis.SpecialFunctions.Gamma.Basic
import Mathlib.Analysis.SpecialFunctions.PolarCoord
import Mathlib.Analysis.Convex.Complex
#align_import analysis.special_functions.gaussian from "leanprover-community/mathlib"@"7982767093ae38cba236487f9c9dd9cd99f63c16"
noncomputable section
open Real Set MeasureTheory Filter Asymptotics
open scoped Real Topology
open Complex hiding exp abs_of_nonneg
theorem exp_neg_mul_rpow_isLittleO_exp_neg {p b : ℝ} (hb : 0 < b) (hp : 1 < p) :
(fun x : ℝ => exp (- b * x ^ p)) =o[atTop] fun x : ℝ => exp (-x) := by
rw [isLittleO_exp_comp_exp_comp]
suffices Tendsto (fun x => x * (b * x ^ (p - 1) + -1)) atTop atTop by
refine Tendsto.congr' ?_ this
refine eventuallyEq_of_mem (Ioi_mem_atTop (0 : ℝ)) (fun x hx => ?_)
rw [mem_Ioi] at hx
rw [rpow_sub_one hx.ne']
field_simp [hx.ne']
ring
apply Tendsto.atTop_mul_atTop tendsto_id
refine tendsto_atTop_add_const_right atTop (-1 : ℝ) ?_
exact Tendsto.const_mul_atTop hb (tendsto_rpow_atTop (by linarith))
theorem exp_neg_mul_sq_isLittleO_exp_neg {b : ℝ} (hb : 0 < b) :
(fun x : ℝ => exp (-b * x ^ 2)) =o[atTop] fun x : ℝ => exp (-x) := by
simp_rw [← rpow_two]
exact exp_neg_mul_rpow_isLittleO_exp_neg hb one_lt_two
#align exp_neg_mul_sq_is_o_exp_neg exp_neg_mul_sq_isLittleO_exp_neg
theorem rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg (s : ℝ) {b p : ℝ} (hp : 1 < p) (hb : 0 < b) :
(fun x : ℝ => x ^ s * exp (- b * x ^ p)) =o[atTop] fun x : ℝ => exp (-(1 / 2) * x) := by
apply ((isBigO_refl (fun x : ℝ => x ^ s) atTop).mul_isLittleO
(exp_neg_mul_rpow_isLittleO_exp_neg hb hp)).trans
simpa only [mul_comm] using Real.Gamma_integrand_isLittleO s
theorem rpow_mul_exp_neg_mul_sq_isLittleO_exp_neg {b : ℝ} (hb : 0 < b) (s : ℝ) :
(fun x : ℝ => x ^ s * exp (-b * x ^ 2)) =o[atTop] fun x : ℝ => exp (-(1 / 2) * x) := by
simp_rw [← rpow_two]
exact rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg s one_lt_two hb
#align rpow_mul_exp_neg_mul_sq_is_o_exp_neg rpow_mul_exp_neg_mul_sq_isLittleO_exp_neg
| Mathlib/Analysis/SpecialFunctions/Gaussian/GaussianIntegral.lean | 63 | 89 | theorem integrableOn_rpow_mul_exp_neg_rpow {p s : ℝ} (hs : -1 < s) (hp : 1 ≤ p) :
IntegrableOn (fun x : ℝ => x ^ s * exp (- x ^ p)) (Ioi 0) := by |
obtain hp | hp := le_iff_lt_or_eq.mp hp
· have h_exp : ∀ x, ContinuousAt (fun x => exp (- x)) x := fun x => continuousAt_neg.rexp
rw [← Ioc_union_Ioi_eq_Ioi zero_le_one, integrableOn_union]
constructor
· rw [← integrableOn_Icc_iff_integrableOn_Ioc]
refine IntegrableOn.mul_continuousOn ?_ ?_ isCompact_Icc
· refine (intervalIntegrable_iff_integrableOn_Icc_of_le zero_le_one).mp ?_
exact intervalIntegral.intervalIntegrable_rpow' hs
· intro x _
change ContinuousWithinAt ((fun x => exp (- x)) ∘ (fun x => x ^ p)) (Icc 0 1) x
refine ContinuousAt.comp_continuousWithinAt (h_exp _) ?_
exact continuousWithinAt_id.rpow_const (Or.inr (le_of_lt (lt_trans zero_lt_one hp)))
· have h_rpow : ∀ (x r : ℝ), x ∈ Ici 1 → ContinuousWithinAt (fun x => x ^ r) (Ici 1) x := by
intro _ _ hx
refine continuousWithinAt_id.rpow_const (Or.inl ?_)
exact ne_of_gt (lt_of_lt_of_le zero_lt_one hx)
refine integrable_of_isBigO_exp_neg (by norm_num : (0:ℝ) < 1 / 2)
(ContinuousOn.mul (fun x hx => h_rpow x s hx) (fun x hx => ?_)) (IsLittleO.isBigO ?_)
· change ContinuousWithinAt ((fun x => exp (- x)) ∘ (fun x => x ^ p)) (Ici 1) x
exact ContinuousAt.comp_continuousWithinAt (h_exp _) (h_rpow x p hx)
· convert rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg s hp (by norm_num : (0:ℝ) < 1) using 3
rw [neg_mul, one_mul]
· simp_rw [← hp, Real.rpow_one]
convert Real.GammaIntegral_convergent (by linarith : 0 < s + 1) using 2
rw [add_sub_cancel_right, mul_comm]
|
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]
| Mathlib/GroupTheory/Index.lean | 275 | 277 | 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
|
import Mathlib.Algebra.CharP.Defs
import Mathlib.RingTheory.Multiplicity
import Mathlib.RingTheory.PowerSeries.Basic
#align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60"
noncomputable section
open Polynomial
open Finset (antidiagonal mem_antidiagonal)
namespace PowerSeries
open Finsupp (single)
variable {R : Type*}
section OrderBasic
open multiplicity
variable [Semiring R] {φ : R⟦X⟧}
theorem exists_coeff_ne_zero_iff_ne_zero : (∃ n : ℕ, coeff R n φ ≠ 0) ↔ φ ≠ 0 := by
refine not_iff_not.mp ?_
push_neg
-- FIXME: the `FunLike.coe` doesn't seem to be picked up in the expression after #8386?
simp [PowerSeries.ext_iff, (coeff R _).map_zero]
#align power_series.exists_coeff_ne_zero_iff_ne_zero PowerSeries.exists_coeff_ne_zero_iff_ne_zero
def order (φ : R⟦X⟧) : PartENat :=
letI := Classical.decEq R
letI := Classical.decEq R⟦X⟧
if h : φ = 0 then ⊤ else Nat.find (exists_coeff_ne_zero_iff_ne_zero.mpr h)
#align power_series.order PowerSeries.order
@[simp]
theorem order_zero : order (0 : R⟦X⟧) = ⊤ :=
dif_pos rfl
#align power_series.order_zero PowerSeries.order_zero
theorem order_finite_iff_ne_zero : (order φ).Dom ↔ φ ≠ 0 := by
simp only [order]
constructor
· split_ifs with h <;> intro H
· simp only [PartENat.top_eq_none, Part.not_none_dom] at H
· exact h
· intro h
simp [h]
#align power_series.order_finite_iff_ne_zero PowerSeries.order_finite_iff_ne_zero
| Mathlib/RingTheory/PowerSeries/Order.lean | 80 | 84 | theorem coeff_order (h : (order φ).Dom) : coeff R (φ.order.get h) φ ≠ 0 := by |
classical
simp only [order, order_finite_iff_ne_zero.mp h, not_false_iff, dif_neg, PartENat.get_natCast']
generalize_proofs h
exact Nat.find_spec h
|
import Mathlib.NumberTheory.Padics.PadicNumbers
import Mathlib.RingTheory.DiscreteValuationRing.Basic
#align_import number_theory.padics.padic_integers from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open Padic Metric LocalRing
noncomputable section
open scoped Classical
def PadicInt (p : ℕ) [Fact p.Prime] :=
{ x : ℚ_[p] // ‖x‖ ≤ 1 }
#align padic_int PadicInt
notation "ℤ_[" p "]" => PadicInt p
namespace PadicInt
variable {p : ℕ} [Fact p.Prime]
instance : Coe ℤ_[p] ℚ_[p] :=
⟨Subtype.val⟩
theorem ext {x y : ℤ_[p]} : (x : ℚ_[p]) = y → x = y :=
Subtype.ext
#align padic_int.ext PadicInt.ext
variable (p)
def subring : Subring ℚ_[p] where
carrier := { x : ℚ_[p] | ‖x‖ ≤ 1 }
zero_mem' := by set_option tactic.skipAssignedInstances false in norm_num
one_mem' := by set_option tactic.skipAssignedInstances false in norm_num
add_mem' hx hy := (padicNormE.nonarchimedean _ _).trans <| max_le_iff.2 ⟨hx, hy⟩
mul_mem' hx hy := (padicNormE.mul _ _).trans_le <| mul_le_one hx (norm_nonneg _) hy
neg_mem' hx := (norm_neg _).trans_le hx
#align padic_int.subring PadicInt.subring
@[simp]
theorem mem_subring_iff {x : ℚ_[p]} : x ∈ subring p ↔ ‖x‖ ≤ 1 := Iff.rfl
#align padic_int.mem_subring_iff PadicInt.mem_subring_iff
variable {p}
instance : Add ℤ_[p] := (by infer_instance : Add (subring p))
instance : Mul ℤ_[p] := (by infer_instance : Mul (subring p))
instance : Neg ℤ_[p] := (by infer_instance : Neg (subring p))
instance : Sub ℤ_[p] := (by infer_instance : Sub (subring p))
instance : Zero ℤ_[p] := (by infer_instance : Zero (subring p))
instance : Inhabited ℤ_[p] := ⟨0⟩
instance : One ℤ_[p] := ⟨⟨1, by norm_num⟩⟩
@[simp]
theorem mk_zero {h} : (⟨0, h⟩ : ℤ_[p]) = (0 : ℤ_[p]) := rfl
#align padic_int.mk_zero PadicInt.mk_zero
@[simp, norm_cast]
theorem coe_add (z1 z2 : ℤ_[p]) : ((z1 + z2 : ℤ_[p]) : ℚ_[p]) = z1 + z2 := rfl
#align padic_int.coe_add PadicInt.coe_add
@[simp, norm_cast]
theorem coe_mul (z1 z2 : ℤ_[p]) : ((z1 * z2 : ℤ_[p]) : ℚ_[p]) = z1 * z2 := rfl
#align padic_int.coe_mul PadicInt.coe_mul
@[simp, norm_cast]
theorem coe_neg (z1 : ℤ_[p]) : ((-z1 : ℤ_[p]) : ℚ_[p]) = -z1 := rfl
#align padic_int.coe_neg PadicInt.coe_neg
@[simp, norm_cast]
theorem coe_sub (z1 z2 : ℤ_[p]) : ((z1 - z2 : ℤ_[p]) : ℚ_[p]) = z1 - z2 := rfl
#align padic_int.coe_sub PadicInt.coe_sub
@[simp, norm_cast]
theorem coe_one : ((1 : ℤ_[p]) : ℚ_[p]) = 1 := rfl
#align padic_int.coe_one PadicInt.coe_one
@[simp, norm_cast]
theorem coe_zero : ((0 : ℤ_[p]) : ℚ_[p]) = 0 := rfl
#align padic_int.coe_zero PadicInt.coe_zero
| Mathlib/NumberTheory/Padics/PadicIntegers.lean | 145 | 145 | theorem coe_eq_zero (z : ℤ_[p]) : (z : ℚ_[p]) = 0 ↔ z = 0 := by | rw [← coe_zero, Subtype.coe_inj]
|
import Mathlib.CategoryTheory.Preadditive.InjectiveResolution
import Mathlib.Algebra.Homology.HomotopyCategory
import Mathlib.Data.Set.Subsingleton
import Mathlib.Tactic.AdaptationNote
#align_import category_theory.abelian.injective_resolution from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
noncomputable section
open CategoryTheory Category Limits
universe v u
namespace CategoryTheory
variable {C : Type u} [Category.{v} C]
open Injective
namespace InjectiveResolution
set_option linter.uppercaseLean3 false -- `InjectiveResolution`
section
variable [HasZeroObject C] [HasZeroMorphisms C]
def descFZero {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y) (J : InjectiveResolution Z) :
J.cocomplex.X 0 ⟶ I.cocomplex.X 0 :=
factorThru (f ≫ I.ι.f 0) (J.ι.f 0)
#align category_theory.InjectiveResolution.desc_f_zero CategoryTheory.InjectiveResolution.descFZero
end
section Abelian
variable [Abelian C]
lemma exact₀ {Z : C} (I : InjectiveResolution Z) :
(ShortComplex.mk _ _ I.ι_f_zero_comp_complex_d).Exact :=
ShortComplex.exact_of_f_is_kernel _ I.isLimitKernelFork
def descFOne {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y) (J : InjectiveResolution Z) :
J.cocomplex.X 1 ⟶ I.cocomplex.X 1 :=
J.exact₀.descToInjective (descFZero f I J ≫ I.cocomplex.d 0 1)
(by dsimp; simp [← assoc, assoc, descFZero])
#align category_theory.InjectiveResolution.desc_f_one CategoryTheory.InjectiveResolution.descFOne
@[simp]
theorem descFOne_zero_comm {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y)
(J : InjectiveResolution Z) :
J.cocomplex.d 0 1 ≫ descFOne f I J = descFZero f I J ≫ I.cocomplex.d 0 1 := by
apply J.exact₀.comp_descToInjective
#align category_theory.InjectiveResolution.desc_f_one_zero_comm CategoryTheory.InjectiveResolution.descFOne_zero_comm
def descFSucc {Y Z : C} (I : InjectiveResolution Y) (J : InjectiveResolution Z) (n : ℕ)
(g : J.cocomplex.X n ⟶ I.cocomplex.X n) (g' : J.cocomplex.X (n + 1) ⟶ I.cocomplex.X (n + 1))
(w : J.cocomplex.d n (n + 1) ≫ g' = g ≫ I.cocomplex.d n (n + 1)) :
Σ'g'' : J.cocomplex.X (n + 2) ⟶ I.cocomplex.X (n + 2),
J.cocomplex.d (n + 1) (n + 2) ≫ g'' = g' ≫ I.cocomplex.d (n + 1) (n + 2) :=
⟨(J.exact_succ n).descToInjective
(g' ≫ I.cocomplex.d (n + 1) (n + 2)) (by simp [reassoc_of% w]),
(J.exact_succ n).comp_descToInjective _ _⟩
#align category_theory.InjectiveResolution.desc_f_succ CategoryTheory.InjectiveResolution.descFSucc
def desc {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y) (J : InjectiveResolution Z) :
J.cocomplex ⟶ I.cocomplex :=
CochainComplex.mkHom _ _ (descFZero f _ _) (descFOne f _ _) (descFOne_zero_comm f I J).symm
fun n ⟨g, g', w⟩ => ⟨(descFSucc I J n g g' w.symm).1, (descFSucc I J n g g' w.symm).2.symm⟩
#align category_theory.InjectiveResolution.desc CategoryTheory.InjectiveResolution.desc
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Abelian/InjectiveResolution.lean | 102 | 105 | theorem desc_commutes {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y)
(J : InjectiveResolution Z) : J.ι ≫ desc f I J = (CochainComplex.single₀ C).map f ≫ I.ι := by |
ext
simp [desc, descFOne, descFZero]
|
import Mathlib.Order.Interval.Finset.Nat
#align_import data.fin.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29"
assert_not_exists MonoidWithZero
open Finset Fin Function
namespace Fin
variable (n : ℕ)
instance instLocallyFiniteOrder : LocallyFiniteOrder (Fin n) :=
OrderIso.locallyFiniteOrder Fin.orderIsoSubtype
instance instLocallyFiniteOrderBot : LocallyFiniteOrderBot (Fin n) :=
OrderIso.locallyFiniteOrderBot Fin.orderIsoSubtype
instance instLocallyFiniteOrderTop : ∀ n, LocallyFiniteOrderTop (Fin n)
| 0 => IsEmpty.toLocallyFiniteOrderTop
| _ + 1 => inferInstance
variable {n} (a b : Fin n)
theorem Icc_eq_finset_subtype : Icc a b = (Icc (a : ℕ) b).fin n :=
rfl
#align fin.Icc_eq_finset_subtype Fin.Icc_eq_finset_subtype
theorem Ico_eq_finset_subtype : Ico a b = (Ico (a : ℕ) b).fin n :=
rfl
#align fin.Ico_eq_finset_subtype Fin.Ico_eq_finset_subtype
theorem Ioc_eq_finset_subtype : Ioc a b = (Ioc (a : ℕ) b).fin n :=
rfl
#align fin.Ioc_eq_finset_subtype Fin.Ioc_eq_finset_subtype
theorem Ioo_eq_finset_subtype : Ioo a b = (Ioo (a : ℕ) b).fin n :=
rfl
#align fin.Ioo_eq_finset_subtype Fin.Ioo_eq_finset_subtype
theorem uIcc_eq_finset_subtype : uIcc a b = (uIcc (a : ℕ) b).fin n := rfl
#align fin.uIcc_eq_finset_subtype Fin.uIcc_eq_finset_subtype
@[simp]
theorem map_valEmbedding_Icc : (Icc a b).map Fin.valEmbedding = Icc ↑a ↑b := by
simp [Icc_eq_finset_subtype, Finset.fin, Finset.map_map, Icc_filter_lt_of_lt_right]
#align fin.map_subtype_embedding_Icc Fin.map_valEmbedding_Icc
@[simp]
theorem map_valEmbedding_Ico : (Ico a b).map Fin.valEmbedding = Ico ↑a ↑b := by
simp [Ico_eq_finset_subtype, Finset.fin, Finset.map_map]
#align fin.map_subtype_embedding_Ico Fin.map_valEmbedding_Ico
@[simp]
theorem map_valEmbedding_Ioc : (Ioc a b).map Fin.valEmbedding = Ioc ↑a ↑b := by
simp [Ioc_eq_finset_subtype, Finset.fin, Finset.map_map, Ioc_filter_lt_of_lt_right]
#align fin.map_subtype_embedding_Ioc Fin.map_valEmbedding_Ioc
@[simp]
theorem map_valEmbedding_Ioo : (Ioo a b).map Fin.valEmbedding = Ioo ↑a ↑b := by
simp [Ioo_eq_finset_subtype, Finset.fin, Finset.map_map]
#align fin.map_subtype_embedding_Ioo Fin.map_valEmbedding_Ioo
@[simp]
theorem map_subtype_embedding_uIcc : (uIcc a b).map valEmbedding = uIcc ↑a ↑b :=
map_valEmbedding_Icc _ _
#align fin.map_subtype_embedding_uIcc Fin.map_subtype_embedding_uIcc
@[simp]
theorem card_Icc : (Icc a b).card = b + 1 - a := by
rw [← Nat.card_Icc, ← map_valEmbedding_Icc, card_map]
#align fin.card_Icc Fin.card_Icc
@[simp]
theorem card_Ico : (Ico a b).card = b - a := by
rw [← Nat.card_Ico, ← map_valEmbedding_Ico, card_map]
#align fin.card_Ico Fin.card_Ico
@[simp]
theorem card_Ioc : (Ioc a b).card = b - a := by
rw [← Nat.card_Ioc, ← map_valEmbedding_Ioc, card_map]
#align fin.card_Ioc Fin.card_Ioc
@[simp]
theorem card_Ioo : (Ioo a b).card = b - a - 1 := by
rw [← Nat.card_Ioo, ← map_valEmbedding_Ioo, card_map]
#align fin.card_Ioo Fin.card_Ioo
@[simp]
theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 := by
rw [← Nat.card_uIcc, ← map_subtype_embedding_uIcc, card_map]
#align fin.card_uIcc Fin.card_uIcc
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem card_fintypeIcc : Fintype.card (Set.Icc a b) = b + 1 - a := by
rw [← card_Icc, Fintype.card_ofFinset]
#align fin.card_fintype_Icc Fin.card_fintypeIcc
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem card_fintypeIco : Fintype.card (Set.Ico a b) = b - a := by
rw [← card_Ico, Fintype.card_ofFinset]
#align fin.card_fintype_Ico Fin.card_fintypeIco
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem card_fintypeIoc : Fintype.card (Set.Ioc a b) = b - a := by
rw [← card_Ioc, Fintype.card_ofFinset]
#align fin.card_fintype_Ioc Fin.card_fintypeIoc
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem card_fintypeIoo : Fintype.card (Set.Ioo a b) = b - a - 1 := by
rw [← card_Ioo, Fintype.card_ofFinset]
#align fin.card_fintype_Ioo Fin.card_fintypeIoo
theorem card_fintype_uIcc : Fintype.card (Set.uIcc a b) = (b - a : ℤ).natAbs + 1 := by
rw [← card_uIcc, Fintype.card_ofFinset]
#align fin.card_fintype_uIcc Fin.card_fintype_uIcc
theorem Ici_eq_finset_subtype : Ici a = (Icc (a : ℕ) n).fin n := by
ext
simp
#align fin.Ici_eq_finset_subtype Fin.Ici_eq_finset_subtype
| Mathlib/Order/Interval/Finset/Fin.lean | 161 | 163 | theorem Ioi_eq_finset_subtype : Ioi a = (Ioc (a : ℕ) n).fin n := by |
ext
simp
|
import Mathlib.Order.Filter.AtTopBot
import Mathlib.Order.Filter.Subsingleton
open Set
variable {α β γ δ : Type*} {l : Filter α} {f : α → β}
namespace Filter
def EventuallyConst (f : α → β) (l : Filter α) : Prop := (map f l).Subsingleton
theorem HasBasis.eventuallyConst_iff {ι : Sort*} {p : ι → Prop} {s : ι → Set α}
(h : l.HasBasis p s) : EventuallyConst f l ↔ ∃ i, p i ∧ ∀ x ∈ s i, ∀ y ∈ s i, f x = f y :=
(h.map f).subsingleton_iff.trans <| by simp only [Set.Subsingleton, forall_mem_image]
theorem HasBasis.eventuallyConst_iff' {ι : Sort*} {p : ι → Prop} {s : ι → Set α}
{x : ι → α} (h : l.HasBasis p s) (hx : ∀ i, p i → x i ∈ s i) :
EventuallyConst f l ↔ ∃ i, p i ∧ ∀ y ∈ s i, f y = f (x i) :=
h.eventuallyConst_iff.trans <| exists_congr fun i ↦ and_congr_right fun hi ↦
⟨fun h ↦ (h · · (x i) (hx i hi)), fun h a ha b hb ↦ h a ha ▸ (h b hb).symm⟩
lemma eventuallyConst_iff_tendsto [Nonempty β] :
EventuallyConst f l ↔ ∃ x, Tendsto f l (pure x) :=
subsingleton_iff_exists_le_pure
alias ⟨EventuallyConst.exists_tendsto, _⟩ := eventuallyConst_iff_tendsto
theorem EventuallyConst.of_tendsto {x : β} (h : Tendsto f l (pure x)) : EventuallyConst f l :=
have : Nonempty β := ⟨x⟩; eventuallyConst_iff_tendsto.2 ⟨x, h⟩
theorem eventuallyConst_iff_exists_eventuallyEq [Nonempty β] :
EventuallyConst f l ↔ ∃ c, f =ᶠ[l] fun _ ↦ c :=
subsingleton_iff_exists_singleton_mem
alias ⟨EventuallyConst.eventuallyEq_const, _⟩ := eventuallyConst_iff_exists_eventuallyEq
| Mathlib/Order/Filter/EventuallyConst.lean | 57 | 59 | theorem eventuallyConst_pred' {p : α → Prop} :
EventuallyConst p l ↔ (p =ᶠ[l] fun _ ↦ False) ∨ (p =ᶠ[l] fun _ ↦ True) := by |
simp only [eventuallyConst_iff_exists_eventuallyEq, Prop.exists_iff]
|
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine
import Mathlib.Geometry.Euclidean.Sphere.Basic
#align_import geometry.euclidean.sphere.power from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
open Real
open EuclideanGeometry RealInnerProductSpace Real
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
namespace InnerProductGeometry
| Mathlib/Geometry/Euclidean/Sphere/Power.lean | 40 | 64 | theorem mul_norm_eq_abs_sub_sq_norm {x y z : V} (h₁ : ∃ k : ℝ, k ≠ 1 ∧ x + y = k • (x - y))
(h₂ : ‖z - y‖ = ‖z + y‖) : ‖x - y‖ * ‖x + y‖ = |‖z + y‖ ^ 2 - ‖z - x‖ ^ 2| := by |
obtain ⟨k, hk_ne_one, hk⟩ := h₁
let r := (k - 1)⁻¹ * (k + 1)
have hxy : x = r • y := by
rw [← smul_smul, eq_inv_smul_iff₀ (sub_ne_zero.mpr hk_ne_one), ← sub_eq_zero]
calc
(k - 1) • x - (k + 1) • y = k • x - x - (k • y + y) := by
simp_rw [sub_smul, add_smul, one_smul]
_ = k • x - k • y - (x + y) := by simp_rw [← sub_sub, sub_right_comm]
_ = k • (x - y) - (x + y) := by rw [← smul_sub k x y]
_ = 0 := sub_eq_zero.mpr hk.symm
have hzy : ⟪z, y⟫ = 0 := by
rwa [inner_eq_zero_iff_angle_eq_pi_div_two, ← norm_add_eq_norm_sub_iff_angle_eq_pi_div_two,
eq_comm]
have hzx : ⟪z, x⟫ = 0 := by rw [hxy, inner_smul_right, hzy, mul_zero]
calc
‖x - y‖ * ‖x + y‖ = ‖(r - 1) • y‖ * ‖(r + 1) • y‖ := by simp [sub_smul, add_smul, hxy]
_ = ‖r - 1‖ * ‖y‖ * (‖r + 1‖ * ‖y‖) := by simp_rw [norm_smul]
_ = ‖r - 1‖ * ‖r + 1‖ * ‖y‖ ^ 2 := by ring
_ = |(r - 1) * (r + 1) * ‖y‖ ^ 2| := by simp [abs_mul]
_ = |r ^ 2 * ‖y‖ ^ 2 - ‖y‖ ^ 2| := by ring_nf
_ = |‖x‖ ^ 2 - ‖y‖ ^ 2| := by simp [hxy, norm_smul, mul_pow, sq_abs]
_ = |‖z + y‖ ^ 2 - ‖z - x‖ ^ 2| := by
simp [norm_add_sq_real, norm_sub_sq_real, hzy, hzx, abs_sub_comm]
|
import Mathlib.Logic.Function.Iterate
import Mathlib.Topology.EMetricSpace.Basic
import Mathlib.Tactic.GCongr
#align_import topology.metric_space.lipschitz from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
universe u v w x
open Filter Function Set Topology NNReal ENNReal Bornology
variable {α : Type u} {β : Type v} {γ : Type w} {ι : Type x}
def LipschitzWith [PseudoEMetricSpace α] [PseudoEMetricSpace β] (K : ℝ≥0) (f : α → β) :=
∀ x y, edist (f x) (f y) ≤ K * edist x y
#align lipschitz_with LipschitzWith
def LipschitzOnWith [PseudoEMetricSpace α] [PseudoEMetricSpace β] (K : ℝ≥0) (f : α → β)
(s : Set α) :=
∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → edist (f x) (f y) ≤ K * edist x y
#align lipschitz_on_with LipschitzOnWith
def LocallyLipschitz [PseudoEMetricSpace α] [PseudoEMetricSpace β] (f : α → β) : Prop :=
∀ x : α, ∃ K, ∃ t ∈ 𝓝 x, LipschitzOnWith K f t
@[simp]
theorem lipschitzOnWith_empty [PseudoEMetricSpace α] [PseudoEMetricSpace β] (K : ℝ≥0) (f : α → β) :
LipschitzOnWith K f ∅ := fun _ => False.elim
#align lipschitz_on_with_empty lipschitzOnWith_empty
theorem LipschitzOnWith.mono [PseudoEMetricSpace α] [PseudoEMetricSpace β] {K : ℝ≥0} {s t : Set α}
{f : α → β} (hf : LipschitzOnWith K f t) (h : s ⊆ t) : LipschitzOnWith K f s :=
fun _x x_in _y y_in => hf (h x_in) (h y_in)
#align lipschitz_on_with.mono LipschitzOnWith.mono
@[simp]
theorem lipschitzOn_univ [PseudoEMetricSpace α] [PseudoEMetricSpace β] {K : ℝ≥0} {f : α → β} :
LipschitzOnWith K f univ ↔ LipschitzWith K f := by simp [LipschitzOnWith, LipschitzWith]
#align lipschitz_on_univ lipschitzOn_univ
| Mathlib/Topology/EMetricSpace/Lipschitz.lean | 86 | 88 | theorem lipschitzOnWith_iff_restrict [PseudoEMetricSpace α] [PseudoEMetricSpace β] {K : ℝ≥0}
{f : α → β} {s : Set α} : LipschitzOnWith K f s ↔ LipschitzWith K (s.restrict f) := by |
simp only [LipschitzOnWith, LipschitzWith, SetCoe.forall', restrict, Subtype.edist_eq]
|
import Mathlib.Init.Data.Nat.Lemmas
import Mathlib.Data.Int.Cast.Defs
import Mathlib.Algebra.Group.Basic
#align_import data.int.cast.basic from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025"
universe u
open Nat
namespace Int
variable {R : Type u} [AddGroupWithOne R]
@[simp, norm_cast squash]
theorem cast_negSucc (n : ℕ) : (-[n+1] : R) = -(n + 1 : ℕ) :=
AddGroupWithOne.intCast_negSucc n
#align int.cast_neg_succ_of_nat Int.cast_negSuccₓ
-- expected `n` to be implicit, and `HasLiftT`
@[simp, norm_cast]
theorem cast_zero : ((0 : ℤ) : R) = 0 :=
(AddGroupWithOne.intCast_ofNat 0).trans Nat.cast_zero
#align int.cast_zero Int.cast_zeroₓ
-- type had `HasLiftT`
-- This lemma competes with `Int.ofNat_eq_natCast` to come later
@[simp high, nolint simpNF, norm_cast]
theorem cast_natCast (n : ℕ) : ((n : ℤ) : R) = n :=
AddGroupWithOne.intCast_ofNat _
#align int.cast_coe_nat Int.cast_natCastₓ
-- expected `n` to be implicit, and `HasLiftT`
#align int.cast_of_nat Int.cast_natCastₓ
-- See note [no_index around OfNat.ofNat]
@[simp, norm_cast]
theorem cast_ofNat (n : ℕ) [n.AtLeastTwo] :
((no_index (OfNat.ofNat n) : ℤ) : R) = OfNat.ofNat n := by
simpa only [OfNat.ofNat] using AddGroupWithOne.intCast_ofNat (R := R) n
@[simp, norm_cast]
| Mathlib/Data/Int/Cast/Basic.lean | 79 | 80 | theorem cast_one : ((1 : ℤ) : R) = 1 := by |
erw [cast_natCast, Nat.cast_one]
|
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]
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)
#align complex.frontier_set_of_im_le Complex.frontier_setOf_im_le
@[simp]
theorem frontier_setOf_le_re (a : ℝ) : frontier { z : ℂ | a ≤ z.re } = { z | z.re = a } := by
simpa only [frontier_Ici] using frontier_preimage_re (Ici a)
#align complex.frontier_set_of_le_re Complex.frontier_setOf_le_re
@[simp]
theorem frontier_setOf_le_im (a : ℝ) : frontier { z : ℂ | a ≤ z.im } = { z | z.im = a } := by
simpa only [frontier_Ici] using frontier_preimage_im (Ici a)
#align complex.frontier_set_of_le_im Complex.frontier_setOf_le_im
@[simp]
theorem frontier_setOf_re_lt (a : ℝ) : frontier { z : ℂ | z.re < a } = { z | z.re = a } := by
simpa only [frontier_Iio] using frontier_preimage_re (Iio a)
#align complex.frontier_set_of_re_lt Complex.frontier_setOf_re_lt
@[simp]
theorem frontier_setOf_im_lt (a : ℝ) : frontier { z : ℂ | z.im < a } = { z | z.im = a } := by
simpa only [frontier_Iio] using frontier_preimage_im (Iio a)
#align complex.frontier_set_of_im_lt Complex.frontier_setOf_im_lt
@[simp]
theorem frontier_setOf_lt_re (a : ℝ) : frontier { z : ℂ | a < z.re } = { z | z.re = a } := by
simpa only [frontier_Ioi] using frontier_preimage_re (Ioi a)
#align complex.frontier_set_of_lt_re Complex.frontier_setOf_lt_re
@[simp]
theorem frontier_setOf_lt_im (a : ℝ) : frontier { z : ℂ | a < z.im } = { z | z.im = a } := by
simpa only [frontier_Ioi] using frontier_preimage_im (Ioi a)
#align complex.frontier_set_of_lt_im Complex.frontier_setOf_lt_im
theorem closure_reProdIm (s t : Set ℝ) : closure (s ×ℂ t) = closure s ×ℂ closure t := by
simpa only [← preimage_eq_preimage equivRealProdCLM.symm.toHomeomorph.surjective,
equivRealProdCLM.symm.toHomeomorph.preimage_closure] using @closure_prod_eq _ _ _ _ s t
#align complex.closure_re_prod_im Complex.closure_reProdIm
| Mathlib/Analysis/Complex/ReImTopology.lean | 178 | 179 | theorem interior_reProdIm (s t : Set ℝ) : interior (s ×ℂ t) = interior s ×ℂ interior t := by |
rw [Set.reProdIm, Set.reProdIm, interior_inter, interior_preimage_re, interior_preimage_im]
|
import Mathlib.Analysis.SpecialFunctions.Integrals
#align_import data.real.pi.wallis from "leanprover-community/mathlib"@"980755c33b9168bc82f774f665eaa27878140fac"
open scoped Real Topology Nat
open Filter Finset intervalIntegral
namespace Real
namespace Wallis
set_option linter.uppercaseLean3 false
noncomputable def W (k : ℕ) : ℝ :=
∏ i ∈ range k, (2 * i + 2) / (2 * i + 1) * ((2 * i + 2) / (2 * i + 3))
#align real.wallis.W Real.Wallis.W
theorem W_succ (k : ℕ) :
W (k + 1) = W k * ((2 * k + 2) / (2 * k + 1) * ((2 * k + 2) / (2 * k + 3))) :=
prod_range_succ _ _
#align real.wallis.W_succ Real.Wallis.W_succ
| Mathlib/Data/Real/Pi/Wallis.lean | 55 | 59 | theorem W_pos (k : ℕ) : 0 < W k := by |
induction' k with k hk
· unfold W; simp
· rw [W_succ]
refine mul_pos hk (mul_pos (div_pos ?_ ?_) (div_pos ?_ ?_)) <;> positivity
|
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
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]
#align ordnode.valid'.rotate_r Ordnode.Valid'.rotateR
theorem Valid'.balance'_aux {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H₁ : 2 * @size α r ≤ 9 * size l + 5 ∨ size r ≤ 3)
(H₂ : 2 * @size α l ≤ 9 * size r + 5 ∨ size l ≤ 3) : Valid' o₁ (@balance' α l x r) o₂ := by
rw [balance']; split_ifs with h h_1 h_2
· exact hl.node' hr (Or.inl h)
· exact hl.rotateL hr h h_1 H₁
· exact hl.rotateR hr h h_2 H₂
· exact hl.node' hr (Or.inr ⟨not_lt.1 h_2, not_lt.1 h_1⟩)
#align ordnode.valid'.balance'_aux Ordnode.Valid'.balance'_aux
theorem Valid'.balance'_lemma {α l l' r r'} (H1 : BalancedSz l' r')
(H2 : Nat.dist (@size α l) l' ≤ 1 ∧ size r = r' ∨ Nat.dist (size r) r' ≤ 1 ∧ size l = l') :
2 * @size α r ≤ 9 * size l + 5 ∨ size r ≤ 3 := by
suffices @size α r ≤ 3 * (size l + 1) by
rcases Nat.eq_zero_or_pos (size l) with l0 | l0
· apply Or.inr; rwa [l0] at this
change 1 ≤ _ at l0; apply Or.inl; omega
rcases H2 with (⟨hl, rfl⟩ | ⟨hr, rfl⟩) <;> rcases H1 with (h | ⟨_, h₂⟩)
· exact le_trans (Nat.le_add_left _ _) (le_trans h (Nat.le_add_left _ _))
· exact
le_trans h₂
(Nat.mul_le_mul_left _ <| le_trans (Nat.dist_tri_right _ _) (Nat.add_le_add_left hl _))
· exact
le_trans (Nat.dist_tri_left' _ _)
(le_trans (add_le_add hr (le_trans (Nat.le_add_left _ _) h)) (by omega))
· rw [Nat.mul_succ]
exact le_trans (Nat.dist_tri_right' _ _) (add_le_add h₂ (le_trans hr (by decide)))
#align ordnode.valid'.balance'_lemma Ordnode.Valid'.balance'_lemma
theorem Valid'.balance' {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H : ∃ l' r', BalancedSz l' r' ∧
(Nat.dist (size l) l' ≤ 1 ∧ size r = r' ∨ Nat.dist (size r) r' ≤ 1 ∧ size l = l')) :
Valid' o₁ (@balance' α l x r) o₂ :=
let ⟨_, _, H1, H2⟩ := H
Valid'.balance'_aux hl hr (Valid'.balance'_lemma H1 H2) (Valid'.balance'_lemma H1.symm H2.symm)
#align ordnode.valid'.balance' Ordnode.Valid'.balance'
theorem Valid'.balance {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H : ∃ l' r', BalancedSz l' r' ∧
(Nat.dist (size l) l' ≤ 1 ∧ size r = r' ∨ Nat.dist (size r) r' ≤ 1 ∧ size l = l')) :
Valid' o₁ (@balance α l x r) o₂ := by
rw [balance_eq_balance' hl.3 hr.3 hl.2 hr.2]; exact hl.balance' hr H
#align ordnode.valid'.balance Ordnode.Valid'.balance
theorem Valid'.balanceL_aux {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H₁ : size l = 0 → size r ≤ 1) (H₂ : 1 ≤ size l → 1 ≤ size r → size r ≤ delta * size l)
(H₃ : 2 * @size α l ≤ 9 * size r + 5 ∨ size l ≤ 3) : Valid' o₁ (@balanceL α l x r) o₂ := by
rw [balanceL_eq_balance hl.2 hr.2 H₁ H₂, balance_eq_balance' hl.3 hr.3 hl.2 hr.2]
refine hl.balance'_aux hr (Or.inl ?_) H₃
rcases Nat.eq_zero_or_pos (size r) with r0 | r0
· rw [r0]; exact Nat.zero_le _
rcases Nat.eq_zero_or_pos (size l) with l0 | l0
· rw [l0]; exact le_trans (Nat.mul_le_mul_left _ (H₁ l0)) (by decide)
replace H₂ : _ ≤ 3 * _ := H₂ l0 r0; omega
#align ordnode.valid'.balance_l_aux Ordnode.Valid'.balanceL_aux
theorem Valid'.balanceL {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H : (∃ l', Raised l' (size l) ∧ BalancedSz l' (size r)) ∨
∃ r', Raised (size r) r' ∧ BalancedSz (size l) r') :
Valid' o₁ (@balanceL α l x r) o₂ := by
rw [balanceL_eq_balance' hl.3 hr.3 hl.2 hr.2 H]
refine hl.balance' hr ?_
rcases H with (⟨l', e, H⟩ | ⟨r', e, H⟩)
· exact ⟨_, _, H, Or.inl ⟨e.dist_le', rfl⟩⟩
· exact ⟨_, _, H, Or.inr ⟨e.dist_le, rfl⟩⟩
#align ordnode.valid'.balance_l Ordnode.Valid'.balanceL
theorem Valid'.balanceR_aux {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H₁ : size r = 0 → size l ≤ 1) (H₂ : 1 ≤ size r → 1 ≤ size l → size l ≤ delta * size r)
(H₃ : 2 * @size α r ≤ 9 * size l + 5 ∨ size r ≤ 3) : Valid' o₁ (@balanceR α l x r) o₂ := by
rw [Valid'.dual_iff, dual_balanceR]
have := hr.dual.balanceL_aux hl.dual
rw [size_dual, size_dual] at this
exact this H₁ H₂ H₃
#align ordnode.valid'.balance_r_aux Ordnode.Valid'.balanceR_aux
theorem Valid'.balanceR {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H : (∃ l', Raised (size l) l' ∧ BalancedSz l' (size r)) ∨
∃ r', Raised r' (size r) ∧ BalancedSz (size l) r') :
Valid' o₁ (@balanceR α l x r) o₂ := by
rw [Valid'.dual_iff, dual_balanceR]; exact hr.dual.balanceL hl.dual (balance_sz_dual H)
#align ordnode.valid'.balance_r Ordnode.Valid'.balanceR
theorem Valid'.eraseMax_aux {s l x r o₁ o₂} (H : Valid' o₁ (.node s l x r) o₂) :
Valid' o₁ (@eraseMax α (.node' l x r)) ↑(findMax' x r) ∧
size (.node' l x r) = size (eraseMax (.node' l x r)) + 1 := by
have := H.2.eq_node'; rw [this] at H; clear this
induction' r with rs rl rx rr _ IHrr generalizing l x o₁
· exact ⟨H.left, rfl⟩
have := H.2.2.2.eq_node'; rw [this] at H ⊢
rcases IHrr H.right with ⟨h, e⟩
refine ⟨Valid'.balanceL H.left h (Or.inr ⟨_, Or.inr e, H.3.1⟩), ?_⟩
rw [eraseMax, size_balanceL H.3.2.1 h.3 H.2.2.1 h.2 (Or.inr ⟨_, Or.inr e, H.3.1⟩)]
rw [size_node, e]; rfl
#align ordnode.valid'.erase_max_aux Ordnode.Valid'.eraseMax_aux
theorem Valid'.eraseMin_aux {s l} {x : α} {r o₁ o₂} (H : Valid' o₁ (.node s l x r) o₂) :
Valid' ↑(findMin' l x) (@eraseMin α (.node' l x r)) o₂ ∧
size (.node' l x r) = size (eraseMin (.node' l x r)) + 1 := by
have := H.dual.eraseMax_aux
rwa [← dual_node', size_dual, ← dual_eraseMin, size_dual, ← Valid'.dual_iff, findMax'_dual]
at this
#align ordnode.valid'.erase_min_aux Ordnode.Valid'.eraseMin_aux
theorem eraseMin.valid : ∀ {t}, @Valid α _ t → Valid (eraseMin t)
| nil, _ => valid_nil
| node _ l x r, h => by rw [h.2.eq_node']; exact h.eraseMin_aux.1.valid
#align ordnode.erase_min.valid Ordnode.eraseMin.valid
theorem eraseMax.valid {t} (h : @Valid α _ t) : Valid (eraseMax t) := by
rw [Valid.dual_iff, dual_eraseMax]; exact eraseMin.valid h.dual
#align ordnode.erase_max.valid Ordnode.eraseMax.valid
theorem Valid'.glue_aux {l r o₁ o₂} (hl : Valid' o₁ l o₂) (hr : Valid' o₁ r o₂)
(sep : l.All fun x => r.All fun y => x < y) (bal : BalancedSz (size l) (size r)) :
Valid' o₁ (@glue α l r) o₂ ∧ size (glue l r) = size l + size r := by
cases' l with ls ll lx lr; · exact ⟨hr, (zero_add _).symm⟩
cases' r with rs rl rx rr; · exact ⟨hl, rfl⟩
dsimp [glue]; split_ifs
· rw [splitMax_eq]
· cases' Valid'.eraseMax_aux hl with v e
suffices H : _ by
refine ⟨Valid'.balanceR v (hr.of_gt ?_ ?_) H, ?_⟩
· refine findMax'_all (P := fun a : α => Bounded nil (a : WithTop α) o₂)
lx lr hl.1.2.to_nil (sep.2.2.imp ?_)
exact fun x h => hr.1.2.to_nil.mono_left (le_of_lt h.2.1)
· exact @findMax'_all _ (fun a => All (· > a) (.node rs rl rx rr)) lx lr sep.2.1 sep.2.2
· rw [size_balanceR v.3 hr.3 v.2 hr.2 H, add_right_comm, ← e, hl.2.1]; rfl
refine Or.inl ⟨_, Or.inr e, ?_⟩
rwa [hl.2.eq_node'] at bal
· rw [splitMin_eq]
· cases' Valid'.eraseMin_aux hr with v e
suffices H : _ by
refine ⟨Valid'.balanceL (hl.of_lt ?_ ?_) v H, ?_⟩
· refine @findMin'_all (P := fun a : α => Bounded nil o₁ (a : WithBot α))
rl rx (sep.2.1.1.imp ?_) hr.1.1.to_nil
exact fun y h => hl.1.1.to_nil.mono_right (le_of_lt h)
· exact
@findMin'_all _ (fun a => All (· < a) (.node ls ll lx lr)) rl rx
(all_iff_forall.2 fun x hx => sep.imp fun y hy => all_iff_forall.1 hy.1 _ hx)
(sep.imp fun y hy => hy.2.1)
· rw [size_balanceL hl.3 v.3 hl.2 v.2 H, add_assoc, ← e, hr.2.1]; rfl
refine Or.inr ⟨_, Or.inr e, ?_⟩
rwa [hr.2.eq_node'] at bal
#align ordnode.valid'.glue_aux Ordnode.Valid'.glue_aux
theorem Valid'.glue {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂) :
BalancedSz (size l) (size r) →
Valid' o₁ (@glue α l r) o₂ ∧ size (@glue α l r) = size l + size r :=
Valid'.glue_aux (hl.trans_right hr.1) (hr.trans_left hl.1) (hl.1.to_sep hr.1)
#align ordnode.valid'.glue Ordnode.Valid'.glue
theorem Valid'.merge_lemma {a b c : ℕ} (h₁ : 3 * a < b + c + 1) (h₂ : b ≤ 3 * c) :
2 * (a + b) ≤ 9 * c + 5 := by omega
#align ordnode.valid'.merge_lemma Ordnode.Valid'.merge_lemma
theorem Valid'.merge_aux₁ {o₁ o₂ ls ll lx lr rs rl rx rr t}
(hl : Valid' o₁ (@Ordnode.node α ls ll lx lr) o₂) (hr : Valid' o₁ (.node rs rl rx rr) o₂)
(h : delta * ls < rs) (v : Valid' o₁ t rx) (e : size t = ls + size rl) :
Valid' o₁ (.balanceL t rx rr) o₂ ∧ size (.balanceL t rx rr) = ls + rs := by
rw [hl.2.1] at e
rw [hl.2.1, hr.2.1, delta] at h
rcases hr.3.1 with (H | ⟨hr₁, hr₂⟩); · omega
suffices H₂ : _ by
suffices H₁ : _ by
refine ⟨Valid'.balanceL_aux v hr.right H₁ H₂ ?_, ?_⟩
· rw [e]; exact Or.inl (Valid'.merge_lemma h hr₁)
· rw [balanceL_eq_balance v.2 hr.2.2.2 H₁ H₂, balance_eq_balance' v.3 hr.3.2.2 v.2 hr.2.2.2,
size_balance' v.2 hr.2.2.2, e, hl.2.1, hr.2.1]
abel
· rw [e, add_right_comm]; rintro ⟨⟩
intro _ _; rw [e]; unfold delta at hr₂ ⊢; omega
#align ordnode.valid'.merge_aux₁ Ordnode.Valid'.merge_aux₁
theorem Valid'.merge_aux {l r o₁ o₂} (hl : Valid' o₁ l o₂) (hr : Valid' o₁ r o₂)
(sep : l.All fun x => r.All fun y => x < y) :
Valid' o₁ (@merge α l r) o₂ ∧ size (merge l r) = size l + size r := by
induction' l with ls ll lx lr _ IHlr generalizing o₁ o₂ r
· exact ⟨hr, (zero_add _).symm⟩
induction' r with rs rl rx rr IHrl _ generalizing o₁ o₂
· exact ⟨hl, rfl⟩
rw [merge_node]; split_ifs with h h_1
· cases'
IHrl (hl.of_lt hr.1.1.to_nil <| sep.imp fun x h => h.2.1) hr.left
(sep.imp fun x h => h.1) with
v e
exact Valid'.merge_aux₁ hl hr h v e
· cases' IHlr hl.right (hr.of_gt hl.1.2.to_nil sep.2.1) sep.2.2 with v e
have := Valid'.merge_aux₁ hr.dual hl.dual h_1 v.dual
rw [size_dual, add_comm, size_dual, ← dual_balanceR, ← Valid'.dual_iff, size_dual,
add_comm rs] at this
exact this e
· refine Valid'.glue_aux hl hr sep (Or.inr ⟨not_lt.1 h_1, not_lt.1 h⟩)
#align ordnode.valid'.merge_aux Ordnode.Valid'.merge_aux
theorem Valid.merge {l r} (hl : Valid l) (hr : Valid r)
(sep : l.All fun x => r.All fun y => x < y) : Valid (@merge α l r) :=
(Valid'.merge_aux hl hr sep).1
#align ordnode.valid.merge Ordnode.Valid.merge
theorem insertWith.valid_aux [IsTotal α (· ≤ ·)] [@DecidableRel α (· ≤ ·)] (f : α → α) (x : α)
(hf : ∀ y, x ≤ y ∧ y ≤ x → x ≤ f y ∧ f y ≤ x) :
∀ {t o₁ o₂},
Valid' o₁ t o₂ →
Bounded nil o₁ x →
Bounded nil x o₂ →
Valid' o₁ (insertWith f x t) o₂ ∧ Raised (size t) (size (insertWith f x t))
| nil, o₁, o₂, _, bl, br => ⟨valid'_singleton bl br, Or.inr rfl⟩
| node sz l y r, o₁, o₂, h, bl, br => by
rw [insertWith, cmpLE]
split_ifs with h_1 h_2 <;> dsimp only
· rcases h with ⟨⟨lx, xr⟩, hs, hb⟩
rcases hf _ ⟨h_1, h_2⟩ with ⟨xf, fx⟩
refine
⟨⟨⟨lx.mono_right (le_trans h_2 xf), xr.mono_left (le_trans fx h_1)⟩, hs, hb⟩, Or.inl rfl⟩
· rcases insertWith.valid_aux f x hf h.left bl (lt_of_le_not_le h_1 h_2) with ⟨vl, e⟩
suffices H : _ by
refine ⟨vl.balanceL h.right H, ?_⟩
rw [size_balanceL vl.3 h.3.2.2 vl.2 h.2.2.2 H, h.2.size_eq]
exact (e.add_right _).add_right _
exact Or.inl ⟨_, e, h.3.1⟩
· have : y < x := lt_of_le_not_le ((total_of (· ≤ ·) _ _).resolve_left h_1) h_1
rcases insertWith.valid_aux f x hf h.right this br with ⟨vr, e⟩
suffices H : _ by
refine ⟨h.left.balanceR vr H, ?_⟩
rw [size_balanceR h.3.2.1 vr.3 h.2.2.1 vr.2 H, h.2.size_eq]
exact (e.add_left _).add_right _
exact Or.inr ⟨_, e, h.3.1⟩
#align ordnode.insert_with.valid_aux Ordnode.insertWith.valid_aux
theorem insertWith.valid [IsTotal α (· ≤ ·)] [@DecidableRel α (· ≤ ·)] (f : α → α) (x : α)
(hf : ∀ y, x ≤ y ∧ y ≤ x → x ≤ f y ∧ f y ≤ x) {t} (h : Valid t) : Valid (insertWith f x t) :=
(insertWith.valid_aux _ _ hf h ⟨⟩ ⟨⟩).1
#align ordnode.insert_with.valid Ordnode.insertWith.valid
theorem insert_eq_insertWith [@DecidableRel α (· ≤ ·)] (x : α) :
∀ t, Ordnode.insert x t = insertWith (fun _ => x) x t
| nil => rfl
| node _ l y r => by
unfold Ordnode.insert insertWith; cases cmpLE x y <;> simp [insert_eq_insertWith]
#align ordnode.insert_eq_insert_with Ordnode.insert_eq_insertWith
theorem insert.valid [IsTotal α (· ≤ ·)] [@DecidableRel α (· ≤ ·)] (x : α) {t} (h : Valid t) :
Valid (Ordnode.insert x t) := by
rw [insert_eq_insertWith]; exact insertWith.valid _ _ (fun _ _ => ⟨le_rfl, le_rfl⟩) h
#align ordnode.insert.valid Ordnode.insert.valid
theorem insert'_eq_insertWith [@DecidableRel α (· ≤ ·)] (x : α) :
∀ t, insert' x t = insertWith id x t
| nil => rfl
| node _ l y r => by
unfold insert' insertWith; cases cmpLE x y <;> simp [insert'_eq_insertWith]
#align ordnode.insert'_eq_insert_with Ordnode.insert'_eq_insertWith
theorem insert'.valid [IsTotal α (· ≤ ·)] [@DecidableRel α (· ≤ ·)] (x : α) {t} (h : Valid t) :
Valid (insert' x t) := by
rw [insert'_eq_insertWith]; exact insertWith.valid _ _ (fun _ => id) h
#align ordnode.insert'.valid Ordnode.insert'.valid
theorem Valid'.map_aux {β} [Preorder β] {f : α → β} (f_strict_mono : StrictMono f) {t a₁ a₂}
(h : Valid' a₁ t a₂) :
Valid' (Option.map f a₁) (map f t) (Option.map f a₂) ∧ (map f t).size = t.size := by
induction t generalizing a₁ a₂ with
| nil =>
simp [map]; apply valid'_nil
cases a₁; · trivial
cases a₂; · trivial
simp only [Bounded]
exact f_strict_mono h.ord
| node _ _ _ _ t_ih_l t_ih_r =>
have t_ih_l' := t_ih_l h.left
have t_ih_r' := t_ih_r h.right
clear t_ih_l t_ih_r
cases' t_ih_l' with t_l_valid t_l_size
cases' t_ih_r' with t_r_valid t_r_size
simp only [map, size_node, and_true]
constructor
· exact And.intro t_l_valid.ord t_r_valid.ord
· constructor
· rw [t_l_size, t_r_size]; exact h.sz.1
· constructor
· exact t_l_valid.sz
· exact t_r_valid.sz
· constructor
· rw [t_l_size, t_r_size]; exact h.bal.1
· constructor
· exact t_l_valid.bal
· exact t_r_valid.bal
#align ordnode.valid'.map_aux Ordnode.Valid'.map_aux
theorem map.valid {β} [Preorder β] {f : α → β} (f_strict_mono : StrictMono f) {t} (h : Valid t) :
Valid (map f t) :=
(Valid'.map_aux f_strict_mono h).1
#align ordnode.map.valid Ordnode.map.valid
theorem Valid'.erase_aux [@DecidableRel α (· ≤ ·)] (x : α) {t a₁ a₂} (h : Valid' a₁ t a₂) :
Valid' a₁ (erase x t) a₂ ∧ Raised (erase x t).size t.size := by
induction t generalizing a₁ a₂ with
| nil =>
simp [erase, Raised]; exact h
| node _ t_l t_x t_r t_ih_l t_ih_r =>
simp only [erase, size_node]
have t_ih_l' := t_ih_l h.left
have t_ih_r' := t_ih_r h.right
clear t_ih_l t_ih_r
cases' t_ih_l' with t_l_valid t_l_size
cases' t_ih_r' with t_r_valid t_r_size
cases cmpLE x t_x <;> rw [h.sz.1]
· suffices h_balanceable : _ by
constructor
· exact Valid'.balanceR t_l_valid h.right h_balanceable
· rw [size_balanceR t_l_valid.bal h.right.bal t_l_valid.sz h.right.sz h_balanceable]
repeat apply Raised.add_right
exact t_l_size
left; exists t_l.size; exact And.intro t_l_size h.bal.1
· have h_glue := Valid'.glue h.left h.right h.bal.1
cases' h_glue with h_glue_valid h_glue_sized
constructor
· exact h_glue_valid
· right; rw [h_glue_sized]
· suffices h_balanceable : _ by
constructor
· exact Valid'.balanceL h.left t_r_valid h_balanceable
· rw [size_balanceL h.left.bal t_r_valid.bal h.left.sz t_r_valid.sz h_balanceable]
apply Raised.add_right
apply Raised.add_left
exact t_r_size
right; exists t_r.size; exact And.intro t_r_size h.bal.1
#align ordnode.valid'.erase_aux Ordnode.Valid'.erase_aux
theorem erase.valid [@DecidableRel α (· ≤ ·)] (x : α) {t} (h : Valid t) : Valid (erase x t) :=
(Valid'.erase_aux x h).1
#align ordnode.erase.valid Ordnode.erase.valid
| Mathlib/Data/Ordmap/Ordset.lean | 1,642 | 1,676 | theorem size_erase_of_mem [@DecidableRel α (· ≤ ·)] {x : α} {t a₁ a₂} (h : Valid' a₁ t a₂)
(h_mem : x ∈ t) : size (erase x t) = size t - 1 := by |
induction t generalizing a₁ a₂ with
| nil =>
contradiction
| node _ t_l t_x t_r t_ih_l t_ih_r =>
have t_ih_l' := t_ih_l h.left
have t_ih_r' := t_ih_r h.right
clear t_ih_l t_ih_r
dsimp only [Membership.mem, mem] at h_mem
unfold erase
revert h_mem; cases cmpLE x t_x <;> intro h_mem <;> dsimp only at h_mem ⊢
· have t_ih_l := t_ih_l' h_mem
clear t_ih_l' t_ih_r'
have t_l_h := Valid'.erase_aux x h.left
cases' t_l_h with t_l_valid t_l_size
rw [size_balanceR t_l_valid.bal h.right.bal t_l_valid.sz h.right.sz
(Or.inl (Exists.intro t_l.size (And.intro t_l_size h.bal.1)))]
rw [t_ih_l, h.sz.1]
have h_pos_t_l_size := pos_size_of_mem h.left.sz h_mem
revert h_pos_t_l_size; cases' t_l.size with t_l_size <;> intro h_pos_t_l_size
· cases h_pos_t_l_size
· simp [Nat.add_right_comm]
· rw [(Valid'.glue h.left h.right h.bal.1).2, h.sz.1]; rfl
· have t_ih_r := t_ih_r' h_mem
clear t_ih_l' t_ih_r'
have t_r_h := Valid'.erase_aux x h.right
cases' t_r_h with t_r_valid t_r_size
rw [size_balanceL h.left.bal t_r_valid.bal h.left.sz t_r_valid.sz
(Or.inr (Exists.intro t_r.size (And.intro t_r_size h.bal.1)))]
rw [t_ih_r, h.sz.1]
have h_pos_t_r_size := pos_size_of_mem h.right.sz h_mem
revert h_pos_t_r_size; cases' t_r.size with t_r_size <;> intro h_pos_t_r_size
· cases h_pos_t_r_size
· simp [Nat.add_assoc]
|
import Mathlib.Algebra.Category.ModuleCat.Free
import Mathlib.Topology.Category.Profinite.CofilteredLimit
import Mathlib.Topology.Category.Profinite.Product
import Mathlib.Topology.LocallyConstant.Algebra
import Mathlib.Init.Data.Bool.Lemmas
universe u
namespace Profinite
namespace NobelingProof
variable {I : Type u} [LinearOrder I] [IsWellOrder I (·<·)] (C : Set (I → Bool))
open Profinite ContinuousMap CategoryTheory Limits Opposite Submodule
section Projections
variable (J K L : I → Prop) [∀ i, Decidable (J i)] [∀ i, Decidable (K i)] [∀ i, Decidable (L i)]
def Proj : (I → Bool) → (I → Bool) :=
fun c i ↦ if J i then c i else false
@[simp]
theorem continuous_proj :
Continuous (Proj J : (I → Bool) → (I → Bool)) := by
dsimp (config := { unfoldPartialApp := true }) [Proj]
apply continuous_pi
intro i
split
· apply continuous_apply
· apply continuous_const
def π : Set (I → Bool) := (Proj J) '' C
@[simps!]
def ProjRestrict : C → π C J :=
Set.MapsTo.restrict (Proj J) _ _ (Set.mapsTo_image _ _)
@[simp]
theorem continuous_projRestrict : Continuous (ProjRestrict C J) :=
Continuous.restrict _ (continuous_proj _)
theorem proj_eq_self {x : I → Bool} (h : ∀ i, x i ≠ false → J i) : Proj J x = x := by
ext i
simp only [Proj, ite_eq_left_iff]
contrapose!
simpa only [ne_comm] using h i
theorem proj_prop_eq_self (hh : ∀ i x, x ∈ C → x i ≠ false → J i) : π C J = C := by
ext x
refine ⟨fun ⟨y, hy, h⟩ ↦ ?_, fun h ↦ ⟨x, h, ?_⟩⟩
· rwa [← h, proj_eq_self]; exact (hh · y hy)
· rw [proj_eq_self]; exact (hh · x h)
theorem proj_comp_of_subset (h : ∀ i, J i → K i) : (Proj J ∘ Proj K) =
(Proj J : (I → Bool) → (I → Bool)) := by
ext x i; dsimp [Proj]; aesop
theorem proj_eq_of_subset (h : ∀ i, J i → K i) : π (π C K) J = π C J := by
ext x
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· obtain ⟨y, ⟨z, hz, rfl⟩, rfl⟩ := h
refine ⟨z, hz, (?_ : _ = (Proj J ∘ Proj K) z)⟩
rw [proj_comp_of_subset J K h]
· obtain ⟨y, hy, rfl⟩ := h
dsimp [π]
rw [← Set.image_comp]
refine ⟨y, hy, ?_⟩
rw [proj_comp_of_subset J K h]
variable {J K L}
@[simps!]
def ProjRestricts (h : ∀ i, J i → K i) : π C K → π C J :=
Homeomorph.setCongr (proj_eq_of_subset C J K h) ∘ ProjRestrict (π C K) J
@[simp]
theorem continuous_projRestricts (h : ∀ i, J i → K i) : Continuous (ProjRestricts C h) :=
Continuous.comp (Homeomorph.continuous _) (continuous_projRestrict _ _)
theorem surjective_projRestricts (h : ∀ i, J i → K i) : Function.Surjective (ProjRestricts C h) :=
(Homeomorph.surjective _).comp (Set.surjective_mapsTo_image_restrict _ _)
variable (J) in
theorem projRestricts_eq_id : ProjRestricts C (fun i (h : J i) ↦ h) = id := by
ext ⟨x, y, hy, rfl⟩ i
simp (config := { contextual := true }) only [π, Proj, ProjRestricts_coe, id_eq, if_true]
| Mathlib/Topology/Category/Profinite/Nobeling.lean | 160 | 164 | theorem projRestricts_eq_comp (hJK : ∀ i, J i → K i) (hKL : ∀ i, K i → L i) :
ProjRestricts C hJK ∘ ProjRestricts C hKL = ProjRestricts C (fun i ↦ hKL i ∘ hJK i) := by |
ext x i
simp only [π, Proj, Function.comp_apply, ProjRestricts_coe]
aesop
|
import Mathlib.Analysis.Analytic.Basic
variable {𝕜 E F G : Type*} [NontriviallyNormedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E]
[NormedAddCommGroup F] [NormedSpace 𝕜 F] [NormedAddCommGroup G] [NormedSpace 𝕜 G]
open scoped Classical
open Topology NNReal Filter ENNReal
open Set Filter Asymptotics
variable {f g : E → F} {p pf pg : FormalMultilinearSeries 𝕜 E F} {x : E} {r r' : ℝ≥0∞} {n m : ℕ}
section FiniteFPowerSeries
structure HasFiniteFPowerSeriesOnBall (f : E → F) (p : FormalMultilinearSeries 𝕜 E F) (x : E)
(n : ℕ) (r : ℝ≥0∞) extends HasFPowerSeriesOnBall f p x r : Prop where
finite : ∀ (m : ℕ), n ≤ m → p m = 0
theorem HasFiniteFPowerSeriesOnBall.mk' {f : E → F} {p : FormalMultilinearSeries 𝕜 E F} {x : E}
{n : ℕ} {r : ℝ≥0∞} (finite : ∀ (m : ℕ), n ≤ m → p m = 0) (pos : 0 < r)
(sum_eq : ∀ y ∈ EMetric.ball 0 r, (∑ i ∈ Finset.range n, p i fun _ ↦ y) = f (x + y)) :
HasFiniteFPowerSeriesOnBall f p x n r where
r_le := p.radius_eq_top_of_eventually_eq_zero (Filter.eventually_atTop.mpr ⟨n, finite⟩) ▸ le_top
r_pos := pos
hasSum hy := sum_eq _ hy ▸ hasSum_sum_of_ne_finset_zero fun m hm ↦ by
rw [Finset.mem_range, not_lt] at hm; rw [finite m hm]; rfl
finite := finite
def HasFiniteFPowerSeriesAt (f : E → F) (p : FormalMultilinearSeries 𝕜 E F) (x : E) (n : ℕ) :=
∃ r, HasFiniteFPowerSeriesOnBall f p x n r
theorem HasFiniteFPowerSeriesAt.toHasFPowerSeriesAt
(hf : HasFiniteFPowerSeriesAt f p x n) : HasFPowerSeriesAt f p x :=
let ⟨r, hf⟩ := hf
⟨r, hf.toHasFPowerSeriesOnBall⟩
theorem HasFiniteFPowerSeriesAt.finite (hf : HasFiniteFPowerSeriesAt f p x n) :
∀ m : ℕ, n ≤ m → p m = 0 := let ⟨_, hf⟩ := hf; hf.finite
variable (𝕜)
def CPolynomialAt (f : E → F) (x : E) :=
∃ (p : FormalMultilinearSeries 𝕜 E F) (n : ℕ), HasFiniteFPowerSeriesAt f p x n
def CPolynomialOn (f : E → F) (s : Set E) :=
∀ x, x ∈ s → CPolynomialAt 𝕜 f x
variable {𝕜}
theorem HasFiniteFPowerSeriesOnBall.hasFiniteFPowerSeriesAt
(hf : HasFiniteFPowerSeriesOnBall f p x n r) :
HasFiniteFPowerSeriesAt f p x n :=
⟨r, hf⟩
theorem HasFiniteFPowerSeriesAt.cPolynomialAt (hf : HasFiniteFPowerSeriesAt f p x n) :
CPolynomialAt 𝕜 f x :=
⟨p, n, hf⟩
theorem HasFiniteFPowerSeriesOnBall.cPolynomialAt (hf : HasFiniteFPowerSeriesOnBall f p x n r) :
CPolynomialAt 𝕜 f x :=
hf.hasFiniteFPowerSeriesAt.cPolynomialAt
theorem CPolynomialAt.analyticAt (hf : CPolynomialAt 𝕜 f x) : AnalyticAt 𝕜 f x :=
let ⟨p, _, hp⟩ := hf
⟨p, hp.toHasFPowerSeriesAt⟩
theorem CPolynomialOn.analyticOn {s : Set E} (hf : CPolynomialOn 𝕜 f s) : AnalyticOn 𝕜 f s :=
fun x hx ↦ (hf x hx).analyticAt
theorem HasFiniteFPowerSeriesOnBall.congr (hf : HasFiniteFPowerSeriesOnBall f p x n r)
(hg : EqOn f g (EMetric.ball x r)) : HasFiniteFPowerSeriesOnBall g p x n r :=
⟨hf.1.congr hg, hf.finite⟩
theorem HasFiniteFPowerSeriesOnBall.comp_sub (hf : HasFiniteFPowerSeriesOnBall f p x n r) (y : E) :
HasFiniteFPowerSeriesOnBall (fun z => f (z - y)) p (x + y) n r :=
⟨hf.1.comp_sub y, hf.finite⟩
theorem HasFiniteFPowerSeriesOnBall.mono (hf : HasFiniteFPowerSeriesOnBall f p x n r)
(r'_pos : 0 < r') (hr : r' ≤ r) : HasFiniteFPowerSeriesOnBall f p x n r' :=
⟨hf.1.mono r'_pos hr, hf.finite⟩
theorem HasFiniteFPowerSeriesAt.congr (hf : HasFiniteFPowerSeriesAt f p x n) (hg : f =ᶠ[𝓝 x] g) :
HasFiniteFPowerSeriesAt g p x n :=
Exists.imp (fun _ hg ↦ ⟨hg, hf.finite⟩) (hf.toHasFPowerSeriesAt.congr hg)
protected theorem HasFiniteFPowerSeriesAt.eventually (hf : HasFiniteFPowerSeriesAt f p x n) :
∀ᶠ r : ℝ≥0∞ in 𝓝[>] 0, HasFiniteFPowerSeriesOnBall f p x n r :=
hf.toHasFPowerSeriesAt.eventually.mono fun _ h ↦ ⟨h, hf.finite⟩
theorem hasFiniteFPowerSeriesOnBall_const {c : F} {e : E} :
HasFiniteFPowerSeriesOnBall (fun _ => c) (constFormalMultilinearSeries 𝕜 E c) e 1 ⊤ :=
⟨hasFPowerSeriesOnBall_const, fun n hn ↦ constFormalMultilinearSeries_apply (id hn : 0 < n).ne'⟩
theorem hasFiniteFPowerSeriesAt_const {c : F} {e : E} :
HasFiniteFPowerSeriesAt (fun _ => c) (constFormalMultilinearSeries 𝕜 E c) e 1 :=
⟨⊤, hasFiniteFPowerSeriesOnBall_const⟩
theorem CPolynomialAt_const {v : F} : CPolynomialAt 𝕜 (fun _ => v) x :=
⟨constFormalMultilinearSeries 𝕜 E v, 1, hasFiniteFPowerSeriesAt_const⟩
theorem CPolynomialOn_const {v : F} {s : Set E} : CPolynomialOn 𝕜 (fun _ => v) s :=
fun _ _ => CPolynomialAt_const
theorem HasFiniteFPowerSeriesOnBall.add (hf : HasFiniteFPowerSeriesOnBall f pf x n r)
(hg : HasFiniteFPowerSeriesOnBall g pg x m r) :
HasFiniteFPowerSeriesOnBall (f + g) (pf + pg) x (max n m) r :=
⟨hf.1.add hg.1, fun N hN ↦ by
rw [Pi.add_apply, hf.finite _ ((le_max_left n m).trans hN),
hg.finite _ ((le_max_right n m).trans hN), zero_add]⟩
theorem HasFiniteFPowerSeriesAt.add (hf : HasFiniteFPowerSeriesAt f pf x n)
(hg : HasFiniteFPowerSeriesAt g pg x m) :
HasFiniteFPowerSeriesAt (f + g) (pf + pg) x (max n m) := by
rcases (hf.eventually.and hg.eventually).exists with ⟨r, hr⟩
exact ⟨r, hr.1.add hr.2⟩
theorem CPolynomialAt.congr (hf : CPolynomialAt 𝕜 f x) (hg : f =ᶠ[𝓝 x] g) : CPolynomialAt 𝕜 g x :=
let ⟨_, _, hpf⟩ := hf
(hpf.congr hg).cPolynomialAt
theorem CPolynomialAt_congr (h : f =ᶠ[𝓝 x] g) : CPolynomialAt 𝕜 f x ↔ CPolynomialAt 𝕜 g x :=
⟨fun hf ↦ hf.congr h, fun hg ↦ hg.congr h.symm⟩
theorem CPolynomialAt.add (hf : CPolynomialAt 𝕜 f x) (hg : CPolynomialAt 𝕜 g x) :
CPolynomialAt 𝕜 (f + g) x :=
let ⟨_, _, hpf⟩ := hf
let ⟨_, _, hqf⟩ := hg
(hpf.add hqf).cPolynomialAt
theorem HasFiniteFPowerSeriesOnBall.neg (hf : HasFiniteFPowerSeriesOnBall f pf x n r) :
HasFiniteFPowerSeriesOnBall (-f) (-pf) x n r :=
⟨hf.1.neg, fun m hm ↦ by rw [Pi.neg_apply, hf.finite m hm, neg_zero]⟩
theorem HasFiniteFPowerSeriesAt.neg (hf : HasFiniteFPowerSeriesAt f pf x n) :
HasFiniteFPowerSeriesAt (-f) (-pf) x n :=
let ⟨_, hrf⟩ := hf
hrf.neg.hasFiniteFPowerSeriesAt
theorem CPolynomialAt.neg (hf : CPolynomialAt 𝕜 f x) : CPolynomialAt 𝕜 (-f) x :=
let ⟨_, _, hpf⟩ := hf
hpf.neg.cPolynomialAt
theorem HasFiniteFPowerSeriesOnBall.sub (hf : HasFiniteFPowerSeriesOnBall f pf x n r)
(hg : HasFiniteFPowerSeriesOnBall g pg x m r) :
HasFiniteFPowerSeriesOnBall (f - g) (pf - pg) x (max n m) r := by
simpa only [sub_eq_add_neg] using hf.add hg.neg
theorem HasFiniteFPowerSeriesAt.sub (hf : HasFiniteFPowerSeriesAt f pf x n)
(hg : HasFiniteFPowerSeriesAt g pg x m) :
HasFiniteFPowerSeriesAt (f - g) (pf - pg) x (max n m) := by
simpa only [sub_eq_add_neg] using hf.add hg.neg
theorem CPolynomialAt.sub (hf : CPolynomialAt 𝕜 f x) (hg : CPolynomialAt 𝕜 g x) :
CPolynomialAt 𝕜 (f - g) x := by
simpa only [sub_eq_add_neg] using hf.add hg.neg
theorem CPolynomialOn.mono {s t : Set E} (hf : CPolynomialOn 𝕜 f t) (hst : s ⊆ t) :
CPolynomialOn 𝕜 f s :=
fun z hz => hf z (hst hz)
theorem CPolynomialOn.congr' {s : Set E} (hf : CPolynomialOn 𝕜 f s) (hg : f =ᶠ[𝓝ˢ s] g) :
CPolynomialOn 𝕜 g s :=
fun z hz => (hf z hz).congr (mem_nhdsSet_iff_forall.mp hg z hz)
theorem CPolynomialOn_congr' {s : Set E} (h : f =ᶠ[𝓝ˢ s] g) :
CPolynomialOn 𝕜 f s ↔ CPolynomialOn 𝕜 g s :=
⟨fun hf => hf.congr' h, fun hg => hg.congr' h.symm⟩
theorem CPolynomialOn.congr {s : Set E} (hs : IsOpen s) (hf : CPolynomialOn 𝕜 f s)
(hg : s.EqOn f g) : CPolynomialOn 𝕜 g s :=
hf.congr' <| mem_nhdsSet_iff_forall.mpr
(fun _ hz => eventuallyEq_iff_exists_mem.mpr ⟨s, hs.mem_nhds hz, hg⟩)
theorem CPolynomialOn_congr {s : Set E} (hs : IsOpen s) (h : s.EqOn f g) :
CPolynomialOn 𝕜 f s ↔ CPolynomialOn 𝕜 g s :=
⟨fun hf => hf.congr hs h, fun hg => hg.congr hs h.symm⟩
theorem CPolynomialOn.add {s : Set E} (hf : CPolynomialOn 𝕜 f s) (hg : CPolynomialOn 𝕜 g s) :
CPolynomialOn 𝕜 (f + g) s :=
fun z hz => (hf z hz).add (hg z hz)
theorem CPolynomialOn.sub {s : Set E} (hf : CPolynomialOn 𝕜 f s) (hg : CPolynomialOn 𝕜 g s) :
CPolynomialOn 𝕜 (f - g) s :=
fun z hz => (hf z hz).sub (hg z hz)
theorem ContinuousLinearMap.comp_hasFiniteFPowerSeriesOnBall (g : F →L[𝕜] G)
(h : HasFiniteFPowerSeriesOnBall f p x n r) :
HasFiniteFPowerSeriesOnBall (g ∘ f) (g.compFormalMultilinearSeries p) x n r :=
⟨g.comp_hasFPowerSeriesOnBall h.1, fun m hm ↦ by
rw [compFormalMultilinearSeries_apply, h.finite m hm]
ext; exact map_zero g⟩
theorem ContinuousLinearMap.comp_cPolynomialOn {s : Set E} (g : F →L[𝕜] G)
(h : CPolynomialOn 𝕜 f s) : CPolynomialOn 𝕜 (g ∘ f) s := by
rintro x hx
rcases h x hx with ⟨p, n, r, hp⟩
exact ⟨g.compFormalMultilinearSeries p, n, r, g.comp_hasFiniteFPowerSeriesOnBall hp⟩
theorem HasFiniteFPowerSeriesOnBall.eq_partialSum
(hf : HasFiniteFPowerSeriesOnBall f p x n r) :
∀ y ∈ EMetric.ball (0 : E) r, ∀ m, n ≤ m →
f (x + y) = p.partialSum m y :=
fun y hy m hm ↦ (hf.hasSum hy).unique (hasSum_sum_of_ne_finset_zero
(f := fun m => p m (fun _ => y)) (s := Finset.range m)
(fun N hN => by simp only; simp only [Finset.mem_range, not_lt] at hN
rw [hf.finite _ (le_trans hm hN), ContinuousMultilinearMap.zero_apply]))
theorem HasFiniteFPowerSeriesOnBall.eq_partialSum'
(hf : HasFiniteFPowerSeriesOnBall f p x n r) :
∀ y ∈ EMetric.ball x r, ∀ m, n ≤ m →
f y = p.partialSum m (y - x) := by
intro y hy m hm
rw [EMetric.mem_ball, edist_eq_coe_nnnorm_sub, ← mem_emetric_ball_zero_iff] at hy
rw [← (HasFiniteFPowerSeriesOnBall.eq_partialSum hf _ hy m hm), add_sub_cancel]
theorem HasFiniteFPowerSeriesOnBall.eq_zero_of_bound_zero
(hf : HasFiniteFPowerSeriesOnBall f pf x 0 r) : ∀ y ∈ EMetric.ball x r, f y = 0 := by
intro y hy
rw [hf.eq_partialSum' y hy 0 le_rfl, FormalMultilinearSeries.partialSum]
simp only [Finset.range_zero, Finset.sum_empty]
theorem HasFiniteFPowerSeriesOnBall.bound_zero_of_eq_zero (hf : ∀ y ∈ EMetric.ball x r, f y = 0)
(r_pos : 0 < r) (hp : ∀ n, p n = 0) : HasFiniteFPowerSeriesOnBall f p x 0 r := by
refine ⟨⟨?_, r_pos, ?_⟩, fun n _ ↦ hp n⟩
· rw [p.radius_eq_top_of_forall_image_add_eq_zero 0 (fun n ↦ by rw [add_zero]; exact hp n)]
exact le_top
· intro y hy
rw [hf (x + y)]
· convert hasSum_zero
rw [hp, ContinuousMultilinearMap.zero_apply]
· rwa [EMetric.mem_ball, edist_eq_coe_nnnorm_sub, add_comm, add_sub_cancel_right,
← edist_eq_coe_nnnorm, ← EMetric.mem_ball]
theorem HasFiniteFPowerSeriesAt.eventually_zero_of_bound_zero
(hf : HasFiniteFPowerSeriesAt f pf x 0) : f =ᶠ[𝓝 x] 0 :=
Filter.eventuallyEq_iff_exists_mem.mpr (let ⟨r, hf⟩ := hf; ⟨EMetric.ball x r,
EMetric.ball_mem_nhds x hf.r_pos, fun y hy ↦ hf.eq_zero_of_bound_zero y hy⟩)
| Mathlib/Analysis/Analytic/CPolynomial.lean | 305 | 313 | theorem HasFiniteFPowerSeriesOnBall.eq_const_of_bound_one
(hf : HasFiniteFPowerSeriesOnBall f pf x 1 r) : ∀ y ∈ EMetric.ball x r, f y = f x := by |
intro y hy
rw [hf.eq_partialSum' y hy 1 le_rfl, hf.eq_partialSum' x
(by rw [EMetric.mem_ball, edist_self]; exact hf.r_pos) 1 le_rfl]
simp only [FormalMultilinearSeries.partialSum, Finset.range_one, Finset.sum_singleton]
congr
apply funext
simp only [IsEmpty.forall_iff]
|
import Mathlib.Algebra.MonoidAlgebra.Degree
import Mathlib.Algebra.Polynomial.Coeff
import Mathlib.Algebra.Polynomial.Monomial
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.Nat.WithBot
import Mathlib.Data.Nat.Cast.WithTop
import Mathlib.Data.Nat.SuccPred
#align_import data.polynomial.degree.definitions from "leanprover-community/mathlib"@"808ea4ebfabeb599f21ec4ae87d6dc969597887f"
-- Porting note: `Mathlib.Data.Nat.Cast.WithTop` should be imported for `Nat.cast_withBot`.
set_option linter.uppercaseLean3 false
noncomputable section
open Finsupp Finset
open Polynomial
namespace Polynomial
universe u v
variable {R : Type u} {S : Type v} {a b c d : R} {n m : ℕ}
section Semiring
variable [Semiring R] {p q r : R[X]}
def degree (p : R[X]) : WithBot ℕ :=
p.support.max
#align polynomial.degree Polynomial.degree
theorem supDegree_eq_degree (p : R[X]) : p.toFinsupp.supDegree WithBot.some = p.degree :=
max_eq_sup_coe
theorem degree_lt_wf : WellFounded fun p q : R[X] => degree p < degree q :=
InvImage.wf degree wellFounded_lt
#align polynomial.degree_lt_wf Polynomial.degree_lt_wf
instance : WellFoundedRelation R[X] :=
⟨_, degree_lt_wf⟩
def natDegree (p : R[X]) : ℕ :=
(degree p).unbot' 0
#align polynomial.nat_degree Polynomial.natDegree
def leadingCoeff (p : R[X]) : R :=
coeff p (natDegree p)
#align polynomial.leading_coeff Polynomial.leadingCoeff
def Monic (p : R[X]) :=
leadingCoeff p = (1 : R)
#align polynomial.monic Polynomial.Monic
@[nontriviality]
theorem monic_of_subsingleton [Subsingleton R] (p : R[X]) : Monic p :=
Subsingleton.elim _ _
#align polynomial.monic_of_subsingleton Polynomial.monic_of_subsingleton
theorem Monic.def : Monic p ↔ leadingCoeff p = 1 :=
Iff.rfl
#align polynomial.monic.def Polynomial.Monic.def
instance Monic.decidable [DecidableEq R] : Decidable (Monic p) := by unfold Monic; infer_instance
#align polynomial.monic.decidable Polynomial.Monic.decidable
@[simp]
theorem Monic.leadingCoeff {p : R[X]} (hp : p.Monic) : leadingCoeff p = 1 :=
hp
#align polynomial.monic.leading_coeff Polynomial.Monic.leadingCoeff
theorem Monic.coeff_natDegree {p : R[X]} (hp : p.Monic) : p.coeff p.natDegree = 1 :=
hp
#align polynomial.monic.coeff_nat_degree Polynomial.Monic.coeff_natDegree
@[simp]
theorem degree_zero : degree (0 : R[X]) = ⊥ :=
rfl
#align polynomial.degree_zero Polynomial.degree_zero
@[simp]
theorem natDegree_zero : natDegree (0 : R[X]) = 0 :=
rfl
#align polynomial.nat_degree_zero Polynomial.natDegree_zero
@[simp]
theorem coeff_natDegree : coeff p (natDegree p) = leadingCoeff p :=
rfl
#align polynomial.coeff_nat_degree Polynomial.coeff_natDegree
@[simp]
theorem degree_eq_bot : degree p = ⊥ ↔ p = 0 :=
⟨fun h => support_eq_empty.1 (Finset.max_eq_bot.1 h), fun h => h.symm ▸ rfl⟩
#align polynomial.degree_eq_bot Polynomial.degree_eq_bot
@[nontriviality]
theorem degree_of_subsingleton [Subsingleton R] : degree p = ⊥ := by
rw [Subsingleton.elim p 0, degree_zero]
#align polynomial.degree_of_subsingleton Polynomial.degree_of_subsingleton
@[nontriviality]
theorem natDegree_of_subsingleton [Subsingleton R] : natDegree p = 0 := by
rw [Subsingleton.elim p 0, natDegree_zero]
#align polynomial.nat_degree_of_subsingleton Polynomial.natDegree_of_subsingleton
theorem degree_eq_natDegree (hp : p ≠ 0) : degree p = (natDegree p : WithBot ℕ) := by
let ⟨n, hn⟩ := not_forall.1 (mt Option.eq_none_iff_forall_not_mem.2 (mt degree_eq_bot.1 hp))
have hn : degree p = some n := Classical.not_not.1 hn
rw [natDegree, hn]; rfl
#align polynomial.degree_eq_nat_degree Polynomial.degree_eq_natDegree
theorem supDegree_eq_natDegree (p : R[X]) : p.toFinsupp.supDegree id = p.natDegree := by
obtain rfl|h := eq_or_ne p 0
· simp
apply WithBot.coe_injective
rw [← AddMonoidAlgebra.supDegree_withBot_some_comp, Function.comp_id, supDegree_eq_degree,
degree_eq_natDegree h, Nat.cast_withBot]
rwa [support_toFinsupp, nonempty_iff_ne_empty, Ne, support_eq_empty]
theorem degree_eq_iff_natDegree_eq {p : R[X]} {n : ℕ} (hp : p ≠ 0) :
p.degree = n ↔ p.natDegree = n := by rw [degree_eq_natDegree hp]; exact WithBot.coe_eq_coe
#align polynomial.degree_eq_iff_nat_degree_eq Polynomial.degree_eq_iff_natDegree_eq
theorem degree_eq_iff_natDegree_eq_of_pos {p : R[X]} {n : ℕ} (hn : 0 < n) :
p.degree = n ↔ p.natDegree = n := by
obtain rfl|h := eq_or_ne p 0
· simp [hn.ne]
· exact degree_eq_iff_natDegree_eq h
#align polynomial.degree_eq_iff_nat_degree_eq_of_pos Polynomial.degree_eq_iff_natDegree_eq_of_pos
| Mathlib/Algebra/Polynomial/Degree/Definitions.lean | 157 | 159 | theorem natDegree_eq_of_degree_eq_some {p : R[X]} {n : ℕ} (h : degree p = n) : natDegree p = n := by |
-- Porting note: `Nat.cast_withBot` is required.
rw [natDegree, h, Nat.cast_withBot, WithBot.unbot'_coe]
|
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.MeasureTheory.Group.Pointwise
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.MeasureTheory.Measure.Doubling
import Mathlib.MeasureTheory.Constructions.BorelSpace.Metric
#align_import measure_theory.measure.lebesgue.eq_haar from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
assert_not_exists MeasureTheory.integral
open TopologicalSpace Set Filter Metric Bornology
open scoped ENNReal Pointwise Topology NNReal
def TopologicalSpace.PositiveCompacts.Icc01 : PositiveCompacts ℝ where
carrier := Icc 0 1
isCompact' := isCompact_Icc
interior_nonempty' := by simp_rw [interior_Icc, nonempty_Ioo, zero_lt_one]
#align topological_space.positive_compacts.Icc01 TopologicalSpace.PositiveCompacts.Icc01
universe u
def TopologicalSpace.PositiveCompacts.piIcc01 (ι : Type*) [Finite ι] :
PositiveCompacts (ι → ℝ) where
carrier := pi univ fun _ => Icc 0 1
isCompact' := isCompact_univ_pi fun _ => isCompact_Icc
interior_nonempty' := by
simp only [interior_pi_set, Set.toFinite, interior_Icc, univ_pi_nonempty_iff, nonempty_Ioo,
imp_true_iff, zero_lt_one]
#align topological_space.positive_compacts.pi_Icc01 TopologicalSpace.PositiveCompacts.piIcc01
theorem Basis.parallelepiped_basisFun (ι : Type*) [Fintype ι] :
(Pi.basisFun ℝ ι).parallelepiped = TopologicalSpace.PositiveCompacts.piIcc01 ι :=
SetLike.coe_injective <| by
refine Eq.trans ?_ ((uIcc_of_le ?_).trans (Set.pi_univ_Icc _ _).symm)
· classical convert parallelepiped_single (ι := ι) 1
· exact zero_le_one
#align basis.parallelepiped_basis_fun Basis.parallelepiped_basisFun
theorem Basis.parallelepiped_eq_map {ι E : Type*} [Fintype ι] [NormedAddCommGroup E]
[NormedSpace ℝ E] (b : Basis ι ℝ E) :
b.parallelepiped = (PositiveCompacts.piIcc01 ι).map b.equivFun.symm
b.equivFunL.symm.continuous b.equivFunL.symm.isOpenMap := by
classical
rw [← Basis.parallelepiped_basisFun, ← Basis.parallelepiped_map]
congr with x
simp
open MeasureTheory MeasureTheory.Measure
theorem Basis.map_addHaar {ι E F : Type*} [Fintype ι] [NormedAddCommGroup E] [NormedAddCommGroup F]
[NormedSpace ℝ E] [NormedSpace ℝ F] [MeasurableSpace E] [MeasurableSpace F] [BorelSpace E]
[BorelSpace F] [SecondCountableTopology F] [SigmaCompactSpace F]
(b : Basis ι ℝ E) (f : E ≃L[ℝ] F) :
map f b.addHaar = (b.map f.toLinearEquiv).addHaar := by
have : IsAddHaarMeasure (map f b.addHaar) :=
AddEquiv.isAddHaarMeasure_map b.addHaar f.toAddEquiv f.continuous f.symm.continuous
rw [eq_comm, Basis.addHaar_eq_iff, Measure.map_apply f.continuous.measurable
(PositiveCompacts.isCompact _).measurableSet, Basis.coe_parallelepiped, Basis.coe_map]
erw [← image_parallelepiped, f.toEquiv.preimage_image, addHaar_self]
namespace MeasureTheory
open Measure TopologicalSpace.PositiveCompacts FiniteDimensional
theorem addHaarMeasure_eq_volume : addHaarMeasure Icc01 = volume := by
convert (addHaarMeasure_unique volume Icc01).symm; simp [Icc01]
#align measure_theory.add_haar_measure_eq_volume MeasureTheory.addHaarMeasure_eq_volume
theorem addHaarMeasure_eq_volume_pi (ι : Type*) [Fintype ι] :
addHaarMeasure (piIcc01 ι) = volume := by
convert (addHaarMeasure_unique volume (piIcc01 ι)).symm
simp only [piIcc01, volume_pi_pi fun _ => Icc (0 : ℝ) 1, PositiveCompacts.coe_mk,
Compacts.coe_mk, Finset.prod_const_one, ENNReal.ofReal_one, Real.volume_Icc, one_smul, sub_zero]
#align measure_theory.add_haar_measure_eq_volume_pi MeasureTheory.addHaarMeasure_eq_volume_pi
-- Porting note (#11215): TODO: remove this instance?
instance isAddHaarMeasure_volume_pi (ι : Type*) [Fintype ι] :
IsAddHaarMeasure (volume : Measure (ι → ℝ)) :=
inferInstance
#align measure_theory.is_add_haar_measure_volume_pi MeasureTheory.isAddHaarMeasure_volume_pi
namespace Measure
theorem addHaar_eq_zero_of_disjoint_translates_aux {E : Type*} [NormedAddCommGroup E]
[NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E)
[IsAddHaarMeasure μ] {s : Set E} (u : ℕ → E) (sb : IsBounded s) (hu : IsBounded (range u))
(hs : Pairwise (Disjoint on fun n => {u n} + s)) (h's : MeasurableSet s) : μ s = 0 := by
by_contra h
apply lt_irrefl ∞
calc
∞ = ∑' _ : ℕ, μ s := (ENNReal.tsum_const_eq_top_of_ne_zero h).symm
_ = ∑' n : ℕ, μ ({u n} + s) := by
congr 1; ext1 n; simp only [image_add_left, measure_preimage_add, singleton_add]
_ = μ (⋃ n, {u n} + s) := Eq.symm <| measure_iUnion hs fun n => by
simpa only [image_add_left, singleton_add] using measurable_id.const_add _ h's
_ = μ (range u + s) := by rw [← iUnion_add, iUnion_singleton_eq_range]
_ < ∞ := (hu.add sb).measure_lt_top
#align measure_theory.measure.add_haar_eq_zero_of_disjoint_translates_aux MeasureTheory.Measure.addHaar_eq_zero_of_disjoint_translates_aux
theorem addHaar_eq_zero_of_disjoint_translates {E : Type*} [NormedAddCommGroup E]
[NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E)
[IsAddHaarMeasure μ] {s : Set E} (u : ℕ → E) (hu : IsBounded (range u))
(hs : Pairwise (Disjoint on fun n => {u n} + s)) (h's : MeasurableSet s) : μ s = 0 := by
suffices H : ∀ R, μ (s ∩ closedBall 0 R) = 0 by
apply le_antisymm _ (zero_le _)
calc
μ s ≤ ∑' n : ℕ, μ (s ∩ closedBall 0 n) := by
conv_lhs => rw [← iUnion_inter_closedBall_nat s 0]
exact measure_iUnion_le _
_ = 0 := by simp only [H, tsum_zero]
intro R
apply addHaar_eq_zero_of_disjoint_translates_aux μ u
(isBounded_closedBall.subset inter_subset_right) hu _ (h's.inter measurableSet_closedBall)
refine pairwise_disjoint_mono hs fun n => ?_
exact add_subset_add Subset.rfl inter_subset_left
#align measure_theory.measure.add_haar_eq_zero_of_disjoint_translates MeasureTheory.Measure.addHaar_eq_zero_of_disjoint_translates
| Mathlib/MeasureTheory/Measure/Lebesgue/EqHaar.lean | 179 | 203 | theorem addHaar_submodule {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace E]
[BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] (s : Submodule ℝ E)
(hs : s ≠ ⊤) : μ s = 0 := by |
obtain ⟨x, hx⟩ : ∃ x, x ∉ s := by
simpa only [Submodule.eq_top_iff', not_exists, Ne, not_forall] using hs
obtain ⟨c, cpos, cone⟩ : ∃ c : ℝ, 0 < c ∧ c < 1 := ⟨1 / 2, by norm_num, by norm_num⟩
have A : IsBounded (range fun n : ℕ => c ^ n • x) :=
have : Tendsto (fun n : ℕ => c ^ n • x) atTop (𝓝 ((0 : ℝ) • x)) :=
(tendsto_pow_atTop_nhds_zero_of_lt_one cpos.le cone).smul_const x
isBounded_range_of_tendsto _ this
apply addHaar_eq_zero_of_disjoint_translates μ _ A _
(Submodule.closed_of_finiteDimensional s).measurableSet
intro m n hmn
simp only [Function.onFun, image_add_left, singleton_add, disjoint_left, mem_preimage,
SetLike.mem_coe]
intro y hym hyn
have A : (c ^ n - c ^ m) • x ∈ s := by
convert s.sub_mem hym hyn using 1
simp only [sub_smul, neg_sub_neg, add_sub_add_right_eq_sub]
have H : c ^ n - c ^ m ≠ 0 := by
simpa only [sub_eq_zero, Ne] using (pow_right_strictAnti cpos cone).injective.ne hmn.symm
have : x ∈ s := by
convert s.smul_mem (c ^ n - c ^ m)⁻¹ A
rw [smul_smul, inv_mul_cancel H, one_smul]
exact hx this
|
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Module.Pointwise
import Mathlib.Data.Real.Archimedean
#align_import data.real.pointwise from "leanprover-community/mathlib"@"dde670c9a3f503647fd5bfdf1037bad526d3397a"
open Set
open Pointwise
variable {ι : Sort*} {α : Type*} [LinearOrderedField α]
section MulActionWithZero
variable [MulActionWithZero α ℝ] [OrderedSMul α ℝ] {a : α}
theorem Real.sInf_smul_of_nonneg (ha : 0 ≤ a) (s : Set ℝ) : sInf (a • s) = a • sInf s := by
obtain rfl | hs := s.eq_empty_or_nonempty
· rw [smul_set_empty, Real.sInf_empty, smul_zero]
obtain rfl | ha' := ha.eq_or_lt
· rw [zero_smul_set hs, zero_smul]
exact csInf_singleton 0
by_cases h : BddBelow s
· exact ((OrderIso.smulRight ha').map_csInf' hs h).symm
· rw [Real.sInf_of_not_bddBelow (mt (bddBelow_smul_iff_of_pos ha').1 h),
Real.sInf_of_not_bddBelow h, smul_zero]
#align real.Inf_smul_of_nonneg Real.sInf_smul_of_nonneg
theorem Real.smul_iInf_of_nonneg (ha : 0 ≤ a) (f : ι → ℝ) : (a • ⨅ i, f i) = ⨅ i, a • f i :=
(Real.sInf_smul_of_nonneg ha _).symm.trans <| congr_arg sInf <| (range_comp _ _).symm
#align real.smul_infi_of_nonneg Real.smul_iInf_of_nonneg
| Mathlib/Data/Real/Pointwise.lean | 53 | 62 | theorem Real.sSup_smul_of_nonneg (ha : 0 ≤ a) (s : Set ℝ) : sSup (a • s) = a • sSup s := by |
obtain rfl | hs := s.eq_empty_or_nonempty
· rw [smul_set_empty, Real.sSup_empty, smul_zero]
obtain rfl | ha' := ha.eq_or_lt
· rw [zero_smul_set hs, zero_smul]
exact csSup_singleton 0
by_cases h : BddAbove s
· exact ((OrderIso.smulRight ha').map_csSup' hs h).symm
· rw [Real.sSup_of_not_bddAbove (mt (bddAbove_smul_iff_of_pos ha').1 h),
Real.sSup_of_not_bddAbove h, smul_zero]
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Arctan
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine
#align_import geometry.euclidean.angle.unoriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open scoped EuclideanGeometry
open scoped Real
open scoped RealInnerProductSpace
namespace InnerProductGeometry
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
theorem norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two (x y : V) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ angle x y = π / 2 := by
rw [norm_add_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero]
exact inner_eq_zero_iff_angle_eq_pi_div_two x y
#align inner_product_geometry.norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two InnerProductGeometry.norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two
theorem norm_add_sq_eq_norm_sq_add_norm_sq' (x y : V) (h : angle x y = π / 2) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ :=
(norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two x y).2 h
#align inner_product_geometry.norm_add_sq_eq_norm_sq_add_norm_sq' InnerProductGeometry.norm_add_sq_eq_norm_sq_add_norm_sq'
theorem norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two (x y : V) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ angle x y = π / 2 := by
rw [norm_sub_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero]
exact inner_eq_zero_iff_angle_eq_pi_div_two x y
#align inner_product_geometry.norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two InnerProductGeometry.norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two
theorem norm_sub_sq_eq_norm_sq_add_norm_sq' (x y : V) (h : angle x y = π / 2) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ :=
(norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two x y).2 h
#align inner_product_geometry.norm_sub_sq_eq_norm_sq_add_norm_sq' InnerProductGeometry.norm_sub_sq_eq_norm_sq_add_norm_sq'
theorem angle_add_eq_arccos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
angle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by
rw [angle, inner_add_right, h, add_zero, real_inner_self_eq_norm_mul_norm]
by_cases hx : ‖x‖ = 0; · simp [hx]
rw [div_mul_eq_div_div, mul_self_div_self]
#align inner_product_geometry.angle_add_eq_arccos_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero
theorem angle_add_eq_arcsin_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) :
angle x (x + y) = Real.arcsin (‖y‖ / ‖x + y‖) := by
have hxy : ‖x + y‖ ^ 2 ≠ 0 := by
rw [pow_two, norm_add_sq_eq_norm_sq_add_norm_sq_real h, ne_comm]
refine ne_of_lt ?_
rcases h0 with (h0 | h0)
· exact
Left.add_pos_of_pos_of_nonneg (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _)
· exact
Left.add_pos_of_nonneg_of_pos (mul_self_nonneg _) (mul_self_pos.2 (norm_ne_zero_iff.2 h0))
rw [angle_add_eq_arccos_of_inner_eq_zero h,
Real.arccos_eq_arcsin (div_nonneg (norm_nonneg _) (norm_nonneg _)), div_pow, one_sub_div hxy]
nth_rw 1 [pow_two]
rw [norm_add_sq_eq_norm_sq_add_norm_sq_real h, pow_two, add_sub_cancel_left, ← pow_two, ← div_pow,
Real.sqrt_sq (div_nonneg (norm_nonneg _) (norm_nonneg _))]
#align inner_product_geometry.angle_add_eq_arcsin_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arcsin_of_inner_eq_zero
theorem angle_add_eq_arctan_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0) :
angle x (x + y) = Real.arctan (‖y‖ / ‖x‖) := by
rw [angle_add_eq_arcsin_of_inner_eq_zero h (Or.inl h0), Real.arctan_eq_arcsin, ←
div_mul_eq_div_div, norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h]
nth_rw 3 [← Real.sqrt_sq (norm_nonneg x)]
rw_mod_cast [← Real.sqrt_mul (sq_nonneg _), div_pow, pow_two, pow_two, mul_add, mul_one, mul_div,
mul_comm (‖x‖ * ‖x‖), ← mul_div, div_self (mul_self_pos.2 (norm_ne_zero_iff.2 h0)).ne', mul_one]
#align inner_product_geometry.angle_add_eq_arctan_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arctan_of_inner_eq_zero
theorem angle_add_pos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x = 0 ∨ y ≠ 0) :
0 < angle x (x + y) := by
rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_pos,
norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h]
by_cases hx : x = 0; · simp [hx]
rw [div_lt_one (Real.sqrt_pos.2 (Left.add_pos_of_pos_of_nonneg (mul_self_pos.2
(norm_ne_zero_iff.2 hx)) (mul_self_nonneg _))), Real.lt_sqrt (norm_nonneg _), pow_two]
simpa [hx] using h0
#align inner_product_geometry.angle_add_pos_of_inner_eq_zero InnerProductGeometry.angle_add_pos_of_inner_eq_zero
theorem angle_add_le_pi_div_two_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
angle x (x + y) ≤ π / 2 := by
rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_le_pi_div_two]
exact div_nonneg (norm_nonneg _) (norm_nonneg _)
#align inner_product_geometry.angle_add_le_pi_div_two_of_inner_eq_zero InnerProductGeometry.angle_add_le_pi_div_two_of_inner_eq_zero
theorem angle_add_lt_pi_div_two_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0) :
angle x (x + y) < π / 2 := by
rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_lt_pi_div_two,
norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h]
exact div_pos (norm_pos_iff.2 h0) (Real.sqrt_pos.2 (Left.add_pos_of_pos_of_nonneg
(mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _)))
#align inner_product_geometry.angle_add_lt_pi_div_two_of_inner_eq_zero InnerProductGeometry.angle_add_lt_pi_div_two_of_inner_eq_zero
theorem cos_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
Real.cos (angle x (x + y)) = ‖x‖ / ‖x + y‖ := by
rw [angle_add_eq_arccos_of_inner_eq_zero h,
Real.cos_arccos (le_trans (by norm_num) (div_nonneg (norm_nonneg _) (norm_nonneg _)))
(div_le_one_of_le _ (norm_nonneg _))]
rw [mul_self_le_mul_self_iff (norm_nonneg _) (norm_nonneg _),
norm_add_sq_eq_norm_sq_add_norm_sq_real h]
exact le_add_of_nonneg_right (mul_self_nonneg _)
#align inner_product_geometry.cos_angle_add_of_inner_eq_zero InnerProductGeometry.cos_angle_add_of_inner_eq_zero
theorem sin_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) :
Real.sin (angle x (x + y)) = ‖y‖ / ‖x + y‖ := by
rw [angle_add_eq_arcsin_of_inner_eq_zero h h0,
Real.sin_arcsin (le_trans (by norm_num) (div_nonneg (norm_nonneg _) (norm_nonneg _)))
(div_le_one_of_le _ (norm_nonneg _))]
rw [mul_self_le_mul_self_iff (norm_nonneg _) (norm_nonneg _),
norm_add_sq_eq_norm_sq_add_norm_sq_real h]
exact le_add_of_nonneg_left (mul_self_nonneg _)
#align inner_product_geometry.sin_angle_add_of_inner_eq_zero InnerProductGeometry.sin_angle_add_of_inner_eq_zero
theorem tan_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
Real.tan (angle x (x + y)) = ‖y‖ / ‖x‖ := by
by_cases h0 : x = 0; · simp [h0]
rw [angle_add_eq_arctan_of_inner_eq_zero h h0, Real.tan_arctan]
#align inner_product_geometry.tan_angle_add_of_inner_eq_zero InnerProductGeometry.tan_angle_add_of_inner_eq_zero
theorem cos_angle_add_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
Real.cos (angle x (x + y)) * ‖x + y‖ = ‖x‖ := by
rw [cos_angle_add_of_inner_eq_zero h]
by_cases hxy : ‖x + y‖ = 0
· have h' := norm_add_sq_eq_norm_sq_add_norm_sq_real h
rw [hxy, zero_mul, eq_comm,
add_eq_zero_iff' (mul_self_nonneg ‖x‖) (mul_self_nonneg ‖y‖), mul_self_eq_zero] at h'
simp [h'.1]
· exact div_mul_cancel₀ _ hxy
#align inner_product_geometry.cos_angle_add_mul_norm_of_inner_eq_zero InnerProductGeometry.cos_angle_add_mul_norm_of_inner_eq_zero
theorem sin_angle_add_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
Real.sin (angle x (x + y)) * ‖x + y‖ = ‖y‖ := by
by_cases h0 : x = 0 ∧ y = 0; · simp [h0]
rw [not_and_or] at h0
rw [sin_angle_add_of_inner_eq_zero h h0, div_mul_cancel₀]
rw [← mul_self_ne_zero, norm_add_sq_eq_norm_sq_add_norm_sq_real h]
refine (ne_of_lt ?_).symm
rcases h0 with (h0 | h0)
· exact Left.add_pos_of_pos_of_nonneg (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _)
· exact Left.add_pos_of_nonneg_of_pos (mul_self_nonneg _) (mul_self_pos.2 (norm_ne_zero_iff.2 h0))
#align inner_product_geometry.sin_angle_add_mul_norm_of_inner_eq_zero InnerProductGeometry.sin_angle_add_mul_norm_of_inner_eq_zero
theorem tan_angle_add_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y = 0) :
Real.tan (angle x (x + y)) * ‖x‖ = ‖y‖ := by
rw [tan_angle_add_of_inner_eq_zero h]
rcases h0 with (h0 | h0) <;> simp [h0]
#align inner_product_geometry.tan_angle_add_mul_norm_of_inner_eq_zero InnerProductGeometry.tan_angle_add_mul_norm_of_inner_eq_zero
theorem norm_div_cos_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y = 0) :
‖x‖ / Real.cos (angle x (x + y)) = ‖x + y‖ := by
rw [cos_angle_add_of_inner_eq_zero h]
rcases h0 with (h0 | h0)
· rw [div_div_eq_mul_div, mul_comm, div_eq_mul_inv, mul_inv_cancel_right₀ (norm_ne_zero_iff.2 h0)]
· simp [h0]
#align inner_product_geometry.norm_div_cos_angle_add_of_inner_eq_zero InnerProductGeometry.norm_div_cos_angle_add_of_inner_eq_zero
theorem norm_div_sin_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x = 0 ∨ y ≠ 0) :
‖y‖ / Real.sin (angle x (x + y)) = ‖x + y‖ := by
rcases h0 with (h0 | h0); · simp [h0]
rw [sin_angle_add_of_inner_eq_zero h (Or.inr h0), div_div_eq_mul_div, mul_comm, div_eq_mul_inv,
mul_inv_cancel_right₀ (norm_ne_zero_iff.2 h0)]
#align inner_product_geometry.norm_div_sin_angle_add_of_inner_eq_zero InnerProductGeometry.norm_div_sin_angle_add_of_inner_eq_zero
theorem norm_div_tan_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x = 0 ∨ y ≠ 0) :
‖y‖ / Real.tan (angle x (x + y)) = ‖x‖ := by
rw [tan_angle_add_of_inner_eq_zero h]
rcases h0 with (h0 | h0)
· simp [h0]
· rw [div_div_eq_mul_div, mul_comm, div_eq_mul_inv, mul_inv_cancel_right₀ (norm_ne_zero_iff.2 h0)]
#align inner_product_geometry.norm_div_tan_angle_add_of_inner_eq_zero InnerProductGeometry.norm_div_tan_angle_add_of_inner_eq_zero
theorem angle_sub_eq_arccos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
angle x (x - y) = Real.arccos (‖x‖ / ‖x - y‖) := by
rw [← neg_eq_zero, ← inner_neg_right] at h
rw [sub_eq_add_neg, angle_add_eq_arccos_of_inner_eq_zero h]
#align inner_product_geometry.angle_sub_eq_arccos_of_inner_eq_zero InnerProductGeometry.angle_sub_eq_arccos_of_inner_eq_zero
| Mathlib/Geometry/Euclidean/Angle/Unoriented/RightAngle.lean | 232 | 236 | theorem angle_sub_eq_arcsin_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) :
angle x (x - y) = Real.arcsin (‖y‖ / ‖x - y‖) := by |
rw [← neg_eq_zero, ← inner_neg_right] at h
rw [or_comm, ← neg_ne_zero, or_comm] at h0
rw [sub_eq_add_neg, angle_add_eq_arcsin_of_inner_eq_zero h h0, norm_neg]
|
import Mathlib.Data.Matrix.Invertible
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.LinearAlgebra.Matrix.PosDef
#align_import linear_algebra.matrix.schur_complement from "leanprover-community/mathlib"@"a176cb1219e300e85793d44583dede42377b51af"
variable {l m n α : Type*}
namespace Matrix
open scoped Matrix
section CommRing
variable [Fintype l] [Fintype m] [Fintype n]
variable [DecidableEq l] [DecidableEq m] [DecidableEq n]
variable [CommRing α]
theorem fromBlocks_eq_of_invertible₁₁ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix l m α)
(D : Matrix l n α) [Invertible A] :
fromBlocks A B C D =
fromBlocks 1 0 (C * ⅟ A) 1 * fromBlocks A 0 0 (D - C * ⅟ A * B) *
fromBlocks 1 (⅟ A * B) 0 1 := by
simp only [fromBlocks_multiply, Matrix.mul_zero, Matrix.zero_mul, add_zero, zero_add,
Matrix.one_mul, Matrix.mul_one, invOf_mul_self, Matrix.mul_invOf_self_assoc,
Matrix.mul_invOf_mul_self_cancel, Matrix.mul_assoc, add_sub_cancel]
#align matrix.from_blocks_eq_of_invertible₁₁ Matrix.fromBlocks_eq_of_invertible₁₁
theorem fromBlocks_eq_of_invertible₂₂ (A : Matrix l m α) (B : Matrix l n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible D] :
fromBlocks A B C D =
fromBlocks 1 (B * ⅟ D) 0 1 * fromBlocks (A - B * ⅟ D * C) 0 0 D *
fromBlocks 1 0 (⅟ D * C) 1 :=
(Matrix.reindex (Equiv.sumComm _ _) (Equiv.sumComm _ _)).injective <| by
simpa [reindex_apply, Equiv.sumComm_symm, ← submatrix_mul_equiv _ _ _ (Equiv.sumComm n m), ←
submatrix_mul_equiv _ _ _ (Equiv.sumComm n l), Equiv.sumComm_apply,
fromBlocks_submatrix_sum_swap_sum_swap] using fromBlocks_eq_of_invertible₁₁ D C B A
#align matrix.from_blocks_eq_of_invertible₂₂ Matrix.fromBlocks_eq_of_invertible₂₂
section Triangular
def fromBlocksZero₂₁Invertible (A : Matrix m m α) (B : Matrix m n α) (D : Matrix n n α)
[Invertible A] [Invertible D] : Invertible (fromBlocks A B 0 D) :=
invertibleOfLeftInverse _ (fromBlocks (⅟ A) (-(⅟ A * B * ⅟ D)) 0 (⅟ D)) <| by
simp_rw [fromBlocks_multiply, Matrix.mul_zero, Matrix.zero_mul, zero_add, add_zero,
Matrix.neg_mul, invOf_mul_self, Matrix.mul_invOf_mul_self_cancel, add_right_neg,
fromBlocks_one]
#align matrix.from_blocks_zero₂₁_invertible Matrix.fromBlocksZero₂₁Invertible
def fromBlocksZero₁₂Invertible (A : Matrix m m α) (C : Matrix n m α) (D : Matrix n n α)
[Invertible A] [Invertible D] : Invertible (fromBlocks A 0 C D) :=
invertibleOfLeftInverse _
(fromBlocks (⅟ A) 0 (-(⅟ D * C * ⅟ A))
(⅟ D)) <| by -- a symmetry argument is more work than just copying the proof
simp_rw [fromBlocks_multiply, Matrix.mul_zero, Matrix.zero_mul, zero_add, add_zero,
Matrix.neg_mul, invOf_mul_self, Matrix.mul_invOf_mul_self_cancel, add_left_neg,
fromBlocks_one]
#align matrix.from_blocks_zero₁₂_invertible Matrix.fromBlocksZero₁₂Invertible
theorem invOf_fromBlocks_zero₂₁_eq (A : Matrix m m α) (B : Matrix m n α) (D : Matrix n n α)
[Invertible A] [Invertible D] [Invertible (fromBlocks A B 0 D)] :
⅟ (fromBlocks A B 0 D) = fromBlocks (⅟ A) (-(⅟ A * B * ⅟ D)) 0 (⅟ D) := by
letI := fromBlocksZero₂₁Invertible A B D
convert (rfl : ⅟ (fromBlocks A B 0 D) = _)
#align matrix.inv_of_from_blocks_zero₂₁_eq Matrix.invOf_fromBlocks_zero₂₁_eq
| Mathlib/LinearAlgebra/Matrix/SchurComplement.lean | 107 | 111 | theorem invOf_fromBlocks_zero₁₂_eq (A : Matrix m m α) (C : Matrix n m α) (D : Matrix n n α)
[Invertible A] [Invertible D] [Invertible (fromBlocks A 0 C D)] :
⅟ (fromBlocks A 0 C D) = fromBlocks (⅟ A) 0 (-(⅟ D * C * ⅟ A)) (⅟ D) := by |
letI := fromBlocksZero₁₂Invertible A C D
convert (rfl : ⅟ (fromBlocks A 0 C D) = _)
|
import Mathlib.Topology.Algebra.Group.Basic
import Mathlib.Logic.Function.Iterate
#align_import dynamics.flow from "leanprover-community/mathlib"@"717c073262cd9d59b1a1dcda7e8ab570c5b63370"
open Set Function Filter
section Invariant
variable {τ : Type*} {α : Type*}
def IsInvariant (ϕ : τ → α → α) (s : Set α) : Prop :=
∀ t, MapsTo (ϕ t) s s
#align is_invariant IsInvariant
variable (ϕ : τ → α → α) (s : Set α)
| Mathlib/Dynamics/Flow.lean | 49 | 50 | theorem isInvariant_iff_image : IsInvariant ϕ s ↔ ∀ t, ϕ t '' s ⊆ s := by |
simp_rw [IsInvariant, mapsTo']
|
import Mathlib.Algebra.GCDMonoid.Basic
import Mathlib.Data.Multiset.FinsetOps
import Mathlib.Data.Multiset.Fold
#align_import algebra.gcd_monoid.multiset from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
namespace Multiset
variable {α : Type*} [CancelCommMonoidWithZero α] [NormalizedGCDMonoid α]
section lcm
def lcm (s : Multiset α) : α :=
s.fold GCDMonoid.lcm 1
#align multiset.lcm Multiset.lcm
@[simp]
theorem lcm_zero : (0 : Multiset α).lcm = 1 :=
fold_zero _ _
#align multiset.lcm_zero Multiset.lcm_zero
@[simp]
theorem lcm_cons (a : α) (s : Multiset α) : (a ::ₘ s).lcm = GCDMonoid.lcm a s.lcm :=
fold_cons_left _ _ _ _
#align multiset.lcm_cons Multiset.lcm_cons
@[simp]
theorem lcm_singleton {a : α} : ({a} : Multiset α).lcm = normalize a :=
(fold_singleton _ _ _).trans <| lcm_one_right _
#align multiset.lcm_singleton Multiset.lcm_singleton
@[simp]
theorem lcm_add (s₁ s₂ : Multiset α) : (s₁ + s₂).lcm = GCDMonoid.lcm s₁.lcm s₂.lcm :=
Eq.trans (by simp [lcm]) (fold_add _ _ _ _ _)
#align multiset.lcm_add Multiset.lcm_add
theorem lcm_dvd {s : Multiset α} {a : α} : s.lcm ∣ a ↔ ∀ b ∈ s, b ∣ a :=
Multiset.induction_on s (by simp)
(by simp (config := { contextual := true }) [or_imp, forall_and, lcm_dvd_iff])
#align multiset.lcm_dvd Multiset.lcm_dvd
theorem dvd_lcm {s : Multiset α} {a : α} (h : a ∈ s) : a ∣ s.lcm :=
lcm_dvd.1 dvd_rfl _ h
#align multiset.dvd_lcm Multiset.dvd_lcm
theorem lcm_mono {s₁ s₂ : Multiset α} (h : s₁ ⊆ s₂) : s₁.lcm ∣ s₂.lcm :=
lcm_dvd.2 fun _ hb ↦ dvd_lcm (h hb)
#align multiset.lcm_mono Multiset.lcm_mono
@[simp 1100]
theorem normalize_lcm (s : Multiset α) : normalize s.lcm = s.lcm :=
Multiset.induction_on s (by simp) fun a s _ ↦ by simp
#align multiset.normalize_lcm Multiset.normalize_lcm
@[simp]
nonrec theorem lcm_eq_zero_iff [Nontrivial α] (s : Multiset α) : s.lcm = 0 ↔ (0 : α) ∈ s := by
induction' s using Multiset.induction_on with a s ihs
· simp only [lcm_zero, one_ne_zero, not_mem_zero]
· simp only [mem_cons, lcm_cons, lcm_eq_zero_iff, ihs, @eq_comm _ a]
#align multiset.lcm_eq_zero_iff Multiset.lcm_eq_zero_iff
variable [DecidableEq α]
@[simp]
theorem lcm_dedup (s : Multiset α) : (dedup s).lcm = s.lcm :=
Multiset.induction_on s (by simp) fun a s IH ↦ by
by_cases h : a ∈ s <;> simp [IH, h]
unfold lcm
rw [← cons_erase h, fold_cons_left, ← lcm_assoc, lcm_same]
apply lcm_eq_of_associated_left (associated_normalize _)
#align multiset.lcm_dedup Multiset.lcm_dedup
@[simp]
theorem lcm_ndunion (s₁ s₂ : Multiset α) : (ndunion s₁ s₂).lcm = GCDMonoid.lcm s₁.lcm s₂.lcm := by
rw [← lcm_dedup, dedup_ext.2, lcm_dedup, lcm_add]
simp
#align multiset.lcm_ndunion Multiset.lcm_ndunion
@[simp]
theorem lcm_union (s₁ s₂ : Multiset α) : (s₁ ∪ s₂).lcm = GCDMonoid.lcm s₁.lcm s₂.lcm := by
rw [← lcm_dedup, dedup_ext.2, lcm_dedup, lcm_add]
simp
#align multiset.lcm_union Multiset.lcm_union
@[simp]
| Mathlib/Algebra/GCDMonoid/Multiset.lean | 116 | 118 | theorem lcm_ndinsert (a : α) (s : Multiset α) : (ndinsert a s).lcm = GCDMonoid.lcm a s.lcm := by |
rw [← lcm_dedup, dedup_ext.2, lcm_dedup, lcm_cons]
simp
|
import Mathlib.Logic.Encodable.Lattice
import Mathlib.MeasureTheory.MeasurableSpace.Defs
#align_import measure_theory.pi_system from "leanprover-community/mathlib"@"98e83c3d541c77cdb7da20d79611a780ff8e7d90"
open MeasurableSpace Set
open scoped Classical
open MeasureTheory
def IsPiSystem {α} (C : Set (Set α)) : Prop :=
∀ᵉ (s ∈ C) (t ∈ C), (s ∩ t : Set α).Nonempty → s ∩ t ∈ C
#align is_pi_system IsPiSystem
theorem IsPiSystem.singleton {α} (S : Set α) : IsPiSystem ({S} : Set (Set α)) := by
intro s h_s t h_t _
rw [Set.mem_singleton_iff.1 h_s, Set.mem_singleton_iff.1 h_t, Set.inter_self,
Set.mem_singleton_iff]
#align is_pi_system.singleton IsPiSystem.singleton
theorem IsPiSystem.insert_empty {α} {S : Set (Set α)} (h_pi : IsPiSystem S) :
IsPiSystem (insert ∅ S) := by
intro s hs t ht hst
cases' hs with hs hs
· simp [hs]
· cases' ht with ht ht
· simp [ht]
· exact Set.mem_insert_of_mem _ (h_pi s hs t ht hst)
#align is_pi_system.insert_empty IsPiSystem.insert_empty
| Mathlib/MeasureTheory/PiSystem.lean | 95 | 102 | theorem IsPiSystem.insert_univ {α} {S : Set (Set α)} (h_pi : IsPiSystem S) :
IsPiSystem (insert Set.univ S) := by |
intro s hs t ht hst
cases' hs with hs hs
· cases' ht with ht ht <;> simp [hs, ht]
· cases' ht with ht ht
· simp [hs, ht]
· exact Set.mem_insert_of_mem _ (h_pi s hs t ht hst)
|
import Mathlib.Analysis.Complex.Polynomial
import Mathlib.NumberTheory.NumberField.Norm
import Mathlib.NumberTheory.NumberField.Basic
import Mathlib.RingTheory.Norm
import Mathlib.Topology.Instances.Complex
import Mathlib.RingTheory.RootsOfUnity.Basic
#align_import number_theory.number_field.embeddings from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c"
open scoped Classical
namespace NumberField.Embeddings
section Fintype
open FiniteDimensional
variable (K : Type*) [Field K] [NumberField K]
variable (A : Type*) [Field A] [CharZero A]
noncomputable instance : Fintype (K →+* A) :=
Fintype.ofEquiv (K →ₐ[ℚ] A) RingHom.equivRatAlgHom.symm
variable [IsAlgClosed A]
| Mathlib/NumberTheory/NumberField/Embeddings.lean | 54 | 55 | theorem card : Fintype.card (K →+* A) = finrank ℚ K := by |
rw [Fintype.ofEquiv_card RingHom.equivRatAlgHom.symm, AlgHom.card]
|
import Mathlib.Init.Core
import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots
import Mathlib.NumberTheory.NumberField.Basic
import Mathlib.FieldTheory.Galois
#align_import number_theory.cyclotomic.basic from "leanprover-community/mathlib"@"4b05d3f4f0601dca8abf99c4ec99187682ed0bba"
open Polynomial Algebra FiniteDimensional Set
universe u v w z
variable (n : ℕ+) (S T : Set ℕ+) (A : Type u) (B : Type v) (K : Type w) (L : Type z)
variable [CommRing A] [CommRing B] [Algebra A B]
variable [Field K] [Field L] [Algebra K L]
noncomputable section
@[mk_iff]
class IsCyclotomicExtension : Prop where
exists_prim_root {n : ℕ+} (ha : n ∈ S) : ∃ r : B, IsPrimitiveRoot r n
adjoin_roots : ∀ x : B, x ∈ adjoin A {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1}
#align is_cyclotomic_extension IsCyclotomicExtension
namespace IsCyclotomicExtension
section Basic
theorem iff_adjoin_eq_top :
IsCyclotomicExtension S A B ↔
(∀ n : ℕ+, n ∈ S → ∃ r : B, IsPrimitiveRoot r n) ∧
adjoin A {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} = ⊤ :=
⟨fun h => ⟨fun _ => h.exists_prim_root, Algebra.eq_top_iff.2 h.adjoin_roots⟩, fun h =>
⟨h.1 _, Algebra.eq_top_iff.1 h.2⟩⟩
#align is_cyclotomic_extension.iff_adjoin_eq_top IsCyclotomicExtension.iff_adjoin_eq_top
theorem iff_singleton :
IsCyclotomicExtension {n} A B ↔
(∃ r : B, IsPrimitiveRoot r n) ∧ ∀ x, x ∈ adjoin A {b : B | b ^ (n : ℕ) = 1} := by
simp [isCyclotomicExtension_iff]
#align is_cyclotomic_extension.iff_singleton IsCyclotomicExtension.iff_singleton
theorem empty [h : IsCyclotomicExtension ∅ A B] : (⊥ : Subalgebra A B) = ⊤ := by
simpa [Algebra.eq_top_iff, isCyclotomicExtension_iff] using h
#align is_cyclotomic_extension.empty IsCyclotomicExtension.empty
theorem singleton_one [h : IsCyclotomicExtension {1} A B] : (⊥ : Subalgebra A B) = ⊤ :=
Algebra.eq_top_iff.2 fun x => by
simpa [adjoin_singleton_one] using ((isCyclotomicExtension_iff _ _ _).1 h).2 x
#align is_cyclotomic_extension.singleton_one IsCyclotomicExtension.singleton_one
variable {A B}
| Mathlib/NumberTheory/Cyclotomic/Basic.lean | 120 | 126 | theorem singleton_zero_of_bot_eq_top (h : (⊥ : Subalgebra A B) = ⊤) :
IsCyclotomicExtension ∅ A B := by |
-- Porting note: Lean3 is able to infer `A`.
refine (iff_adjoin_eq_top _ A _).2
⟨fun s hs => by simp at hs, _root_.eq_top_iff.2 fun x hx => ?_⟩
rw [← h] at hx
simpa using hx
|
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
#align orientation.area_form_apply_self Orientation.areaForm_apply_self
theorem areaForm_swap (x y : E) : ω x y = -ω y x := by
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
#align orientation.area_form_swap Orientation.areaForm_swap
@[simp]
theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by
ext x y
simp [areaForm_to_volumeForm]
#align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation
def areaForm' : E →L[ℝ] E →L[ℝ] ℝ :=
LinearMap.toContinuousLinearMap
(↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm)
#align orientation.area_form' Orientation.areaForm'
@[simp]
theorem areaForm'_apply (x : E) :
o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) :=
rfl
#align orientation.area_form'_apply Orientation.areaForm'_apply
theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y]
#align orientation.abs_area_form_le Orientation.abs_areaForm_le
theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y]
#align orientation.area_form_le Orientation.areaForm_le
theorem abs_areaForm_of_orthogonal {x y : E} (h : ⟪x, y⟫ = 0) : |ω x y| = ‖x‖ * ‖y‖ := by
rw [o.areaForm_to_volumeForm, o.abs_volumeForm_apply_of_pairwise_orthogonal]
· simp [Fin.prod_univ_succ]
intro i j hij
fin_cases i <;> fin_cases j
· simp_all
· simpa using h
· simpa [real_inner_comm] using h
· simp_all
#align orientation.abs_area_form_of_orthogonal Orientation.abs_areaForm_of_orthogonal
theorem areaForm_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x y : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).areaForm x y =
o.areaForm (φ.symm x) (φ.symm y) := by
have : φ.symm ∘ ![x, y] = ![φ.symm x, φ.symm y] := by
ext i
fin_cases i <;> rfl
simp [areaForm_to_volumeForm, volumeForm_map, this]
#align orientation.area_form_map Orientation.areaForm_map
theorem areaForm_comp_linearIsometryEquiv (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x y : E) :
o.areaForm (φ x) (φ y) = o.areaForm x y := by
convert o.areaForm_map φ (φ x) (φ y)
· symm
rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ
rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin]
· simp
· simp
#align orientation.area_form_comp_linear_isometry_equiv Orientation.areaForm_comp_linearIsometryEquiv
irreducible_def rightAngleRotationAux₁ : E →ₗ[ℝ] E :=
let to_dual : E ≃ₗ[ℝ] E →ₗ[ℝ] ℝ :=
(InnerProductSpace.toDual ℝ E).toLinearEquiv ≪≫ₗ LinearMap.toContinuousLinearMap.symm
↑to_dual.symm ∘ₗ ω
#align orientation.right_angle_rotation_aux₁ Orientation.rightAngleRotationAux₁
@[simp]
theorem inner_rightAngleRotationAux₁_left (x y : E) : ⟪o.rightAngleRotationAux₁ x, y⟫ = ω x y := by
-- Porting note: split `simp only` for greater proof control
simp only [rightAngleRotationAux₁, LinearEquiv.trans_symm, LinearIsometryEquiv.toLinearEquiv_symm,
LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.trans_apply,
LinearIsometryEquiv.coe_toLinearEquiv]
rw [InnerProductSpace.toDual_symm_apply]
norm_cast
#align orientation.inner_right_angle_rotation_aux₁_left Orientation.inner_rightAngleRotationAux₁_left
@[simp]
theorem inner_rightAngleRotationAux₁_right (x y : E) :
⟪x, o.rightAngleRotationAux₁ y⟫ = -ω x y := by
rw [real_inner_comm]
simp [o.areaForm_swap y x]
#align orientation.inner_right_angle_rotation_aux₁_right Orientation.inner_rightAngleRotationAux₁_right
def rightAngleRotationAux₂ : E →ₗᵢ[ℝ] E :=
{ o.rightAngleRotationAux₁ with
norm_map' := fun x => by
dsimp
refine le_antisymm ?_ ?_
· cases' eq_or_lt_of_le (norm_nonneg (o.rightAngleRotationAux₁ x)) with h h
· rw [← h]
positivity
refine le_of_mul_le_mul_right ?_ h
rw [← real_inner_self_eq_norm_mul_norm, o.inner_rightAngleRotationAux₁_left]
exact o.areaForm_le x (o.rightAngleRotationAux₁ x)
· let K : Submodule ℝ E := ℝ ∙ x
have : Nontrivial Kᗮ := by
apply @FiniteDimensional.nontrivial_of_finrank_pos ℝ
have : finrank ℝ K ≤ Finset.card {x} := by
rw [← Set.toFinset_singleton]
exact finrank_span_le_card ({x} : Set E)
have : Finset.card {x} = 1 := Finset.card_singleton x
have : finrank ℝ K + finrank ℝ Kᗮ = finrank ℝ E := K.finrank_add_finrank_orthogonal
have : finrank ℝ E = 2 := Fact.out
linarith
obtain ⟨w, hw₀⟩ : ∃ w : Kᗮ, w ≠ 0 := exists_ne 0
have hw' : ⟪x, (w : E)⟫ = 0 := Submodule.mem_orthogonal_singleton_iff_inner_right.mp w.2
have hw : (w : E) ≠ 0 := fun h => hw₀ (Submodule.coe_eq_zero.mp h)
refine le_of_mul_le_mul_right ?_ (by rwa [norm_pos_iff] : 0 < ‖(w : E)‖)
rw [← o.abs_areaForm_of_orthogonal hw']
rw [← o.inner_rightAngleRotationAux₁_left x w]
exact abs_real_inner_le_norm (o.rightAngleRotationAux₁ x) w }
#align orientation.right_angle_rotation_aux₂ Orientation.rightAngleRotationAux₂
@[simp]
theorem rightAngleRotationAux₁_rightAngleRotationAux₁ (x : E) :
o.rightAngleRotationAux₁ (o.rightAngleRotationAux₁ x) = -x := by
apply ext_inner_left ℝ
intro y
have : ⟪o.rightAngleRotationAux₁ y, o.rightAngleRotationAux₁ x⟫ = ⟪y, x⟫ :=
LinearIsometry.inner_map_map o.rightAngleRotationAux₂ y x
rw [o.inner_rightAngleRotationAux₁_right, ← o.inner_rightAngleRotationAux₁_left, this,
inner_neg_right]
#align orientation.right_angle_rotation_aux₁_right_angle_rotation_aux₁ Orientation.rightAngleRotationAux₁_rightAngleRotationAux₁
irreducible_def rightAngleRotation : E ≃ₗᵢ[ℝ] E :=
LinearIsometryEquiv.ofLinearIsometry o.rightAngleRotationAux₂ (-o.rightAngleRotationAux₁)
(by ext; simp [rightAngleRotationAux₂]) (by ext; simp [rightAngleRotationAux₂])
#align orientation.right_angle_rotation Orientation.rightAngleRotation
local notation "J" => o.rightAngleRotation
@[simp]
theorem inner_rightAngleRotation_left (x y : E) : ⟪J x, y⟫ = ω x y := by
rw [rightAngleRotation]
exact o.inner_rightAngleRotationAux₁_left x y
#align orientation.inner_right_angle_rotation_left Orientation.inner_rightAngleRotation_left
@[simp]
theorem inner_rightAngleRotation_right (x y : E) : ⟪x, J y⟫ = -ω x y := by
rw [rightAngleRotation]
exact o.inner_rightAngleRotationAux₁_right x y
#align orientation.inner_right_angle_rotation_right Orientation.inner_rightAngleRotation_right
@[simp]
theorem rightAngleRotation_rightAngleRotation (x : E) : J (J x) = -x := by
rw [rightAngleRotation]
exact o.rightAngleRotationAux₁_rightAngleRotationAux₁ x
#align orientation.right_angle_rotation_right_angle_rotation Orientation.rightAngleRotation_rightAngleRotation
@[simp]
theorem rightAngleRotation_symm :
LinearIsometryEquiv.symm J = LinearIsometryEquiv.trans J (LinearIsometryEquiv.neg ℝ) := by
rw [rightAngleRotation]
exact LinearIsometryEquiv.toLinearIsometry_injective rfl
#align orientation.right_angle_rotation_symm Orientation.rightAngleRotation_symm
-- @[simp] -- Porting note (#10618): simp already proves this
theorem inner_rightAngleRotation_self (x : E) : ⟪J x, x⟫ = 0 := by simp
#align orientation.inner_right_angle_rotation_self Orientation.inner_rightAngleRotation_self
theorem inner_rightAngleRotation_swap (x y : E) : ⟪x, J y⟫ = -⟪J x, y⟫ := by simp
#align orientation.inner_right_angle_rotation_swap Orientation.inner_rightAngleRotation_swap
theorem inner_rightAngleRotation_swap' (x y : E) : ⟪J x, y⟫ = -⟪x, J y⟫ := by
simp [o.inner_rightAngleRotation_swap x y]
#align orientation.inner_right_angle_rotation_swap' Orientation.inner_rightAngleRotation_swap'
theorem inner_comp_rightAngleRotation (x y : E) : ⟪J x, J y⟫ = ⟪x, y⟫ :=
LinearIsometryEquiv.inner_map_map J x y
#align orientation.inner_comp_right_angle_rotation Orientation.inner_comp_rightAngleRotation
@[simp]
theorem areaForm_rightAngleRotation_left (x y : E) : ω (J x) y = -⟪x, y⟫ := by
rw [← o.inner_comp_rightAngleRotation, o.inner_rightAngleRotation_right, neg_neg]
#align orientation.area_form_right_angle_rotation_left Orientation.areaForm_rightAngleRotation_left
@[simp]
theorem areaForm_rightAngleRotation_right (x y : E) : ω x (J y) = ⟪x, y⟫ := by
rw [← o.inner_rightAngleRotation_left, o.inner_comp_rightAngleRotation]
#align orientation.area_form_right_angle_rotation_right Orientation.areaForm_rightAngleRotation_right
-- @[simp] -- Porting note (#10618): simp already proves this
theorem areaForm_comp_rightAngleRotation (x y : E) : ω (J x) (J y) = ω x y := by simp
#align orientation.area_form_comp_right_angle_rotation Orientation.areaForm_comp_rightAngleRotation
@[simp]
theorem rightAngleRotation_trans_rightAngleRotation :
LinearIsometryEquiv.trans J J = LinearIsometryEquiv.neg ℝ := by ext; simp
#align orientation.right_angle_rotation_trans_right_angle_rotation Orientation.rightAngleRotation_trans_rightAngleRotation
theorem rightAngleRotation_neg_orientation (x : E) :
(-o).rightAngleRotation x = -o.rightAngleRotation x := by
apply ext_inner_right ℝ
intro y
rw [inner_rightAngleRotation_left]
simp
#align orientation.right_angle_rotation_neg_orientation Orientation.rightAngleRotation_neg_orientation
@[simp]
theorem rightAngleRotation_trans_neg_orientation :
(-o).rightAngleRotation = o.rightAngleRotation.trans (LinearIsometryEquiv.neg ℝ) :=
LinearIsometryEquiv.ext <| o.rightAngleRotation_neg_orientation
#align orientation.right_angle_rotation_trans_neg_orientation Orientation.rightAngleRotation_trans_neg_orientation
theorem rightAngleRotation_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).rightAngleRotation x =
φ (o.rightAngleRotation (φ.symm x)) := by
apply ext_inner_right ℝ
intro y
rw [inner_rightAngleRotation_left]
trans ⟪J (φ.symm x), φ.symm y⟫
· simp [o.areaForm_map]
trans ⟪φ (J (φ.symm x)), φ (φ.symm y)⟫
· rw [φ.inner_map_map]
· simp
#align orientation.right_angle_rotation_map Orientation.rightAngleRotation_map
theorem linearIsometryEquiv_comp_rightAngleRotation (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x : E) : φ (J x) = J (φ x) := by
convert (o.rightAngleRotation_map φ (φ x)).symm
· simp
· symm
rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ
rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin]
#align orientation.linear_isometry_equiv_comp_right_angle_rotation Orientation.linearIsometryEquiv_comp_rightAngleRotation
theorem rightAngleRotation_map' {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).rightAngleRotation =
(φ.symm.trans o.rightAngleRotation).trans φ :=
LinearIsometryEquiv.ext <| o.rightAngleRotation_map φ
#align orientation.right_angle_rotation_map' Orientation.rightAngleRotation_map'
theorem linearIsometryEquiv_comp_rightAngleRotation' (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) :
LinearIsometryEquiv.trans J φ = φ.trans J :=
LinearIsometryEquiv.ext <| o.linearIsometryEquiv_comp_rightAngleRotation φ hφ
#align orientation.linear_isometry_equiv_comp_right_angle_rotation' Orientation.linearIsometryEquiv_comp_rightAngleRotation'
def basisRightAngleRotation (x : E) (hx : x ≠ 0) : Basis (Fin 2) ℝ E :=
@basisOfLinearIndependentOfCardEqFinrank ℝ _ _ _ _ _ _ _ ![x, J x]
(linearIndependent_of_ne_zero_of_inner_eq_zero (fun i => by fin_cases i <;> simp [hx])
(by
intro i j hij
fin_cases i <;> fin_cases j <;> simp_all))
(@Fact.out (finrank ℝ E = 2)).symm
#align orientation.basis_right_angle_rotation Orientation.basisRightAngleRotation
@[simp]
theorem coe_basisRightAngleRotation (x : E) (hx : x ≠ 0) :
⇑(o.basisRightAngleRotation x hx) = ![x, J x] :=
coe_basisOfLinearIndependentOfCardEqFinrank _ _
#align orientation.coe_basis_right_angle_rotation Orientation.coe_basisRightAngleRotation
theorem inner_mul_inner_add_areaForm_mul_areaForm' (a x : E) :
⟪a, x⟫ • innerₛₗ ℝ a + ω a x • ω a = ‖a‖ ^ 2 • innerₛₗ ℝ x := by
by_cases ha : a = 0
· simp [ha]
apply (o.basisRightAngleRotation a ha).ext
intro i
fin_cases i
· simp only [Fin.mk_zero, coe_basisRightAngleRotation, Matrix.cons_val_zero, LinearMap.add_apply,
LinearMap.smul_apply, innerₛₗ_apply, real_inner_self_eq_norm_sq, smul_eq_mul,
areaForm_apply_self, mul_zero, add_zero, Real.rpow_two, real_inner_comm]
ring
· simp only [Fin.mk_one, coe_basisRightAngleRotation, Matrix.cons_val_one, Matrix.head_cons,
LinearMap.add_apply, LinearMap.smul_apply, innerₛₗ_apply, inner_rightAngleRotation_right,
areaForm_apply_self, neg_zero, smul_eq_mul, mul_zero, areaForm_rightAngleRotation_right,
real_inner_self_eq_norm_sq, zero_add, Real.rpow_two, mul_neg]
rw [o.areaForm_swap]
ring
#align orientation.inner_mul_inner_add_area_form_mul_area_form' Orientation.inner_mul_inner_add_areaForm_mul_areaForm'
theorem inner_mul_inner_add_areaForm_mul_areaForm (a x y : E) :
⟪a, x⟫ * ⟪a, y⟫ + ω a x * ω a y = ‖a‖ ^ 2 * ⟪x, y⟫ :=
congr_arg (fun f : E →ₗ[ℝ] ℝ => f y) (o.inner_mul_inner_add_areaForm_mul_areaForm' a x)
#align orientation.inner_mul_inner_add_area_form_mul_area_form Orientation.inner_mul_inner_add_areaForm_mul_areaForm
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 416 | 417 | theorem inner_sq_add_areaForm_sq (a b : E) : ⟪a, b⟫ ^ 2 + ω a b ^ 2 = ‖a‖ ^ 2 * ‖b‖ ^ 2 := by |
simpa [sq, real_inner_self_eq_norm_sq] using o.inner_mul_inner_add_areaForm_mul_areaForm a b b
|
import Mathlib.Data.Option.Basic
import Mathlib.Data.Set.Basic
#align_import data.pequiv from "leanprover-community/mathlib"@"7c3269ca3fa4c0c19e4d127cd7151edbdbf99ed4"
universe u v w x
structure PEquiv (α : Type u) (β : Type v) where
toFun : α → Option β
invFun : β → Option α
inv : ∀ (a : α) (b : β), a ∈ invFun b ↔ b ∈ toFun a
#align pequiv PEquiv
infixr:25 " ≃. " => PEquiv
namespace PEquiv
variable {α : Type u} {β : Type v} {γ : Type w} {δ : Type x}
open Function Option
instance : FunLike (α ≃. β) α (Option β) :=
{ coe := toFun
coe_injective' := by
rintro ⟨f₁, f₂, hf⟩ ⟨g₁, g₂, hg⟩ (rfl : f₁ = g₁)
congr with y x
simp only [hf, hg] }
@[simp] theorem coe_mk (f₁ : α → Option β) (f₂ h) : (mk f₁ f₂ h : α → Option β) = f₁ :=
rfl
theorem coe_mk_apply (f₁ : α → Option β) (f₂ : β → Option α) (h) (x : α) :
(PEquiv.mk f₁ f₂ h : α → Option β) x = f₁ x :=
rfl
#align pequiv.coe_mk_apply PEquiv.coe_mk_apply
@[ext] theorem ext {f g : α ≃. β} (h : ∀ x, f x = g x) : f = g :=
DFunLike.ext f g h
#align pequiv.ext PEquiv.ext
theorem ext_iff {f g : α ≃. β} : f = g ↔ ∀ x, f x = g x :=
DFunLike.ext_iff
#align pequiv.ext_iff PEquiv.ext_iff
@[refl]
protected def refl (α : Type*) : α ≃. α where
toFun := some
invFun := some
inv _ _ := eq_comm
#align pequiv.refl PEquiv.refl
@[symm]
protected def symm (f : α ≃. β) : β ≃. α where
toFun := f.2
invFun := f.1
inv _ _ := (f.inv _ _).symm
#align pequiv.symm PEquiv.symm
theorem mem_iff_mem (f : α ≃. β) : ∀ {a : α} {b : β}, a ∈ f.symm b ↔ b ∈ f a :=
f.3 _ _
#align pequiv.mem_iff_mem PEquiv.mem_iff_mem
theorem eq_some_iff (f : α ≃. β) : ∀ {a : α} {b : β}, f.symm b = some a ↔ f a = some b :=
f.3 _ _
#align pequiv.eq_some_iff PEquiv.eq_some_iff
@[trans]
protected def trans (f : α ≃. β) (g : β ≃. γ) :
α ≃. γ where
toFun a := (f a).bind g
invFun a := (g.symm a).bind f.symm
inv a b := by simp_all [and_comm, eq_some_iff f, eq_some_iff g, bind_eq_some]
#align pequiv.trans PEquiv.trans
@[simp]
theorem refl_apply (a : α) : PEquiv.refl α a = some a :=
rfl
#align pequiv.refl_apply PEquiv.refl_apply
@[simp]
theorem symm_refl : (PEquiv.refl α).symm = PEquiv.refl α :=
rfl
#align pequiv.symm_refl PEquiv.symm_refl
@[simp]
theorem symm_symm (f : α ≃. β) : f.symm.symm = f := by cases f; rfl
#align pequiv.symm_symm PEquiv.symm_symm
theorem symm_bijective : Function.Bijective (PEquiv.symm : (α ≃. β) → β ≃. α) :=
Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩
theorem symm_injective : Function.Injective (@PEquiv.symm α β) :=
symm_bijective.injective
#align pequiv.symm_injective PEquiv.symm_injective
theorem trans_assoc (f : α ≃. β) (g : β ≃. γ) (h : γ ≃. δ) :
(f.trans g).trans h = f.trans (g.trans h) :=
ext fun _ => Option.bind_assoc _ _ _
#align pequiv.trans_assoc PEquiv.trans_assoc
theorem mem_trans (f : α ≃. β) (g : β ≃. γ) (a : α) (c : γ) :
c ∈ f.trans g a ↔ ∃ b, b ∈ f a ∧ c ∈ g b :=
Option.bind_eq_some'
#align pequiv.mem_trans PEquiv.mem_trans
theorem trans_eq_some (f : α ≃. β) (g : β ≃. γ) (a : α) (c : γ) :
f.trans g a = some c ↔ ∃ b, f a = some b ∧ g b = some c :=
Option.bind_eq_some'
#align pequiv.trans_eq_some PEquiv.trans_eq_some
theorem trans_eq_none (f : α ≃. β) (g : β ≃. γ) (a : α) :
f.trans g a = none ↔ ∀ b c, b ∉ f a ∨ c ∉ g b := by
simp only [eq_none_iff_forall_not_mem, mem_trans, imp_iff_not_or.symm]
push_neg
exact forall_swap
#align pequiv.trans_eq_none PEquiv.trans_eq_none
@[simp]
theorem refl_trans (f : α ≃. β) : (PEquiv.refl α).trans f = f := by
ext; dsimp [PEquiv.trans]; rfl
#align pequiv.refl_trans PEquiv.refl_trans
@[simp]
| Mathlib/Data/PEquiv.lean | 174 | 175 | theorem trans_refl (f : α ≃. β) : f.trans (PEquiv.refl β) = f := by |
ext; dsimp [PEquiv.trans]; simp
|
import Mathlib.SetTheory.Ordinal.Arithmetic
import Mathlib.Tactic.Abel
#align_import set_theory.ordinal.natural_ops from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7"
set_option autoImplicit true
universe u v
open Function Order
noncomputable section
def NatOrdinal : Type _ :=
-- Porting note: used to derive LinearOrder & SuccOrder but need to manually define
Ordinal deriving Zero, Inhabited, One, WellFoundedRelation
#align nat_ordinal NatOrdinal
instance NatOrdinal.linearOrder : LinearOrder NatOrdinal := {Ordinal.linearOrder with}
instance NatOrdinal.succOrder : SuccOrder NatOrdinal := {Ordinal.succOrder with}
@[match_pattern]
def Ordinal.toNatOrdinal : Ordinal ≃o NatOrdinal :=
OrderIso.refl _
#align ordinal.to_nat_ordinal Ordinal.toNatOrdinal
@[match_pattern]
def NatOrdinal.toOrdinal : NatOrdinal ≃o Ordinal :=
OrderIso.refl _
#align nat_ordinal.to_ordinal NatOrdinal.toOrdinal
namespace Ordinal
variable {a b c : Ordinal.{u}}
@[simp]
theorem toNatOrdinal_symm_eq : toNatOrdinal.symm = NatOrdinal.toOrdinal :=
rfl
#align ordinal.to_nat_ordinal_symm_eq Ordinal.toNatOrdinal_symm_eq
@[simp]
theorem toNatOrdinal_toOrdinal (a : Ordinal) : NatOrdinal.toOrdinal (toNatOrdinal a) = a :=
rfl
#align ordinal.to_nat_ordinal_to_ordinal Ordinal.toNatOrdinal_toOrdinal
@[simp]
theorem toNatOrdinal_zero : toNatOrdinal 0 = 0 :=
rfl
#align ordinal.to_nat_ordinal_zero Ordinal.toNatOrdinal_zero
@[simp]
theorem toNatOrdinal_one : toNatOrdinal 1 = 1 :=
rfl
#align ordinal.to_nat_ordinal_one Ordinal.toNatOrdinal_one
@[simp]
theorem toNatOrdinal_eq_zero (a) : toNatOrdinal a = 0 ↔ a = 0 :=
Iff.rfl
#align ordinal.to_nat_ordinal_eq_zero Ordinal.toNatOrdinal_eq_zero
@[simp]
theorem toNatOrdinal_eq_one (a) : toNatOrdinal a = 1 ↔ a = 1 :=
Iff.rfl
#align ordinal.to_nat_ordinal_eq_one Ordinal.toNatOrdinal_eq_one
@[simp]
theorem toNatOrdinal_max (a b : Ordinal) :
toNatOrdinal (max a b) = max (toNatOrdinal a) (toNatOrdinal b) :=
rfl
#align ordinal.to_nat_ordinal_max Ordinal.toNatOrdinal_max
@[simp]
theorem toNatOrdinal_min (a b : Ordinal) :
toNatOrdinal (linearOrder.min a b) = linearOrder.min (toNatOrdinal a) (toNatOrdinal b) :=
rfl
#align ordinal.to_nat_ordinal_min Ordinal.toNatOrdinal_min
noncomputable def nadd : Ordinal → Ordinal → Ordinal
| a, b =>
max (blsub.{u, u} a fun a' _ => nadd a' b) (blsub.{u, u} b fun b' _ => nadd a b')
termination_by o₁ o₂ => (o₁, o₂)
#align ordinal.nadd Ordinal.nadd
@[inherit_doc]
scoped[NaturalOps] infixl:65 " ♯ " => Ordinal.nadd
open NaturalOps
noncomputable def nmul : Ordinal.{u} → Ordinal.{u} → Ordinal.{u}
| a, b => sInf {c | ∀ a' < a, ∀ b' < b, nmul a' b ♯ nmul a b' < c ♯ nmul a' b'}
termination_by a b => (a, b)
#align ordinal.nmul Ordinal.nmul
@[inherit_doc]
scoped[NaturalOps] infixl:70 " ⨳ " => Ordinal.nmul
theorem nadd_def (a b : Ordinal) :
a ♯ b = max (blsub.{u, u} a fun a' _ => a' ♯ b) (blsub.{u, u} b fun b' _ => a ♯ b') := by
rw [nadd]
#align ordinal.nadd_def Ordinal.nadd_def
theorem lt_nadd_iff : a < b ♯ c ↔ (∃ b' < b, a ≤ b' ♯ c) ∨ ∃ c' < c, a ≤ b ♯ c' := by
rw [nadd_def]
simp [lt_blsub_iff]
#align ordinal.lt_nadd_iff Ordinal.lt_nadd_iff
| Mathlib/SetTheory/Ordinal/NaturalOps.lean | 242 | 244 | theorem nadd_le_iff : b ♯ c ≤ a ↔ (∀ b' < b, b' ♯ c < a) ∧ ∀ c' < c, b ♯ c' < a := by |
rw [nadd_def]
simp [blsub_le_iff]
|
import Mathlib.Analysis.InnerProductSpace.Projection
import Mathlib.Geometry.Euclidean.PerpBisector
import Mathlib.Algebra.QuadraticDiscriminant
#align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
noncomputable section
open scoped Classical
open RealInnerProductSpace
namespace EuclideanGeometry
variable {V : Type*} {P : Type*}
variable [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
variable [NormedAddTorsor V P]
theorem dist_left_midpoint_eq_dist_right_midpoint (p1 p2 : P) :
dist p1 (midpoint ℝ p1 p2) = dist p2 (midpoint ℝ p1 p2) := by
rw [dist_left_midpoint (𝕜 := ℝ) p1 p2, dist_right_midpoint (𝕜 := ℝ) p1 p2]
#align euclidean_geometry.dist_left_midpoint_eq_dist_right_midpoint EuclideanGeometry.dist_left_midpoint_eq_dist_right_midpoint
theorem inner_weightedVSub {ι₁ : Type*} {s₁ : Finset ι₁} {w₁ : ι₁ → ℝ} (p₁ : ι₁ → P)
(h₁ : ∑ i ∈ s₁, w₁ i = 0) {ι₂ : Type*} {s₂ : Finset ι₂} {w₂ : ι₂ → ℝ} (p₂ : ι₂ → P)
(h₂ : ∑ i ∈ s₂, w₂ i = 0) :
⟪s₁.weightedVSub p₁ w₁, s₂.weightedVSub p₂ w₂⟫ =
(-∑ i₁ ∈ s₁, ∑ i₂ ∈ s₂, w₁ i₁ * w₂ i₂ * (dist (p₁ i₁) (p₂ i₂) * dist (p₁ i₁) (p₂ i₂))) /
2 := by
rw [Finset.weightedVSub_apply, Finset.weightedVSub_apply,
inner_sum_smul_sum_smul_of_sum_eq_zero _ h₁ _ h₂]
simp_rw [vsub_sub_vsub_cancel_right]
rcongr (i₁ i₂) <;> rw [dist_eq_norm_vsub V (p₁ i₁) (p₂ i₂)]
#align euclidean_geometry.inner_weighted_vsub EuclideanGeometry.inner_weightedVSub
theorem dist_affineCombination {ι : Type*} {s : Finset ι} {w₁ w₂ : ι → ℝ} (p : ι → P)
(h₁ : ∑ i ∈ s, w₁ i = 1) (h₂ : ∑ i ∈ s, w₂ i = 1) : by
have a₁ := s.affineCombination ℝ p w₁
have a₂ := s.affineCombination ℝ p w₂
exact dist a₁ a₂ * dist a₁ a₂ = (-∑ i₁ ∈ s, ∑ i₂ ∈ s,
(w₁ - w₂) i₁ * (w₁ - w₂) i₂ * (dist (p i₁) (p i₂) * dist (p i₁) (p i₂))) / 2 := by
dsimp only
rw [dist_eq_norm_vsub V (s.affineCombination ℝ p w₁) (s.affineCombination ℝ p w₂), ←
@inner_self_eq_norm_mul_norm ℝ, Finset.affineCombination_vsub]
have h : (∑ i ∈ s, (w₁ - w₂) i) = 0 := by
simp_rw [Pi.sub_apply, Finset.sum_sub_distrib, h₁, h₂, sub_self]
exact inner_weightedVSub p h p h
#align euclidean_geometry.dist_affine_combination EuclideanGeometry.dist_affineCombination
-- Porting note: `inner_vsub_vsub_of_dist_eq_of_dist_eq` moved to `PerpendicularBisector`
theorem dist_smul_vadd_sq (r : ℝ) (v : V) (p₁ p₂ : P) :
dist (r • v +ᵥ p₁) p₂ * dist (r • v +ᵥ p₁) p₂ =
⟪v, v⟫ * r * r + 2 * ⟪v, p₁ -ᵥ p₂⟫ * r + ⟪p₁ -ᵥ p₂, p₁ -ᵥ p₂⟫ := by
rw [dist_eq_norm_vsub V _ p₂, ← real_inner_self_eq_norm_mul_norm, vadd_vsub_assoc,
real_inner_add_add_self, real_inner_smul_left, real_inner_smul_left, real_inner_smul_right]
ring
#align euclidean_geometry.dist_smul_vadd_sq EuclideanGeometry.dist_smul_vadd_sq
theorem dist_smul_vadd_eq_dist {v : V} (p₁ p₂ : P) (hv : v ≠ 0) (r : ℝ) :
dist (r • v +ᵥ p₁) p₂ = dist p₁ p₂ ↔ r = 0 ∨ r = -2 * ⟪v, p₁ -ᵥ p₂⟫ / ⟪v, v⟫ := by
conv_lhs =>
rw [← mul_self_inj_of_nonneg dist_nonneg dist_nonneg, dist_smul_vadd_sq, ← sub_eq_zero,
add_sub_assoc, dist_eq_norm_vsub V p₁ p₂, ← real_inner_self_eq_norm_mul_norm, sub_self]
have hvi : ⟪v, v⟫ ≠ 0 := by simpa using hv
have hd : discrim ⟪v, v⟫ (2 * ⟪v, p₁ -ᵥ p₂⟫) 0 = 2 * ⟪v, p₁ -ᵥ p₂⟫ * (2 * ⟪v, p₁ -ᵥ p₂⟫) := by
rw [discrim]
ring
rw [quadratic_eq_zero_iff hvi hd, add_left_neg, zero_div, neg_mul_eq_neg_mul, ←
mul_sub_right_distrib, sub_eq_add_neg, ← mul_two, mul_assoc, mul_div_assoc, mul_div_mul_left,
mul_div_assoc]
norm_num
#align euclidean_geometry.dist_smul_vadd_eq_dist EuclideanGeometry.dist_smul_vadd_eq_dist
open AffineSubspace FiniteDimensional
theorem eq_of_dist_eq_of_dist_eq_of_mem_of_finrank_eq_two {s : AffineSubspace ℝ P}
[FiniteDimensional ℝ s.direction] (hd : finrank ℝ s.direction = 2) {c₁ c₂ p₁ p₂ p : P}
(hc₁s : c₁ ∈ s) (hc₂s : c₂ ∈ s) (hp₁s : p₁ ∈ s) (hp₂s : p₂ ∈ s) (hps : p ∈ s) {r₁ r₂ : ℝ}
(hc : c₁ ≠ c₂) (hp : p₁ ≠ p₂) (hp₁c₁ : dist p₁ c₁ = r₁) (hp₂c₁ : dist p₂ c₁ = r₁)
(hpc₁ : dist p c₁ = r₁) (hp₁c₂ : dist p₁ c₂ = r₂) (hp₂c₂ : dist p₂ c₂ = r₂)
(hpc₂ : dist p c₂ = r₂) : p = p₁ ∨ p = p₂ := by
have ho : ⟪c₂ -ᵥ c₁, p₂ -ᵥ p₁⟫ = 0 :=
inner_vsub_vsub_of_dist_eq_of_dist_eq (hp₁c₁.trans hp₂c₁.symm) (hp₁c₂.trans hp₂c₂.symm)
have hop : ⟪c₂ -ᵥ c₁, p -ᵥ p₁⟫ = 0 :=
inner_vsub_vsub_of_dist_eq_of_dist_eq (hp₁c₁.trans hpc₁.symm) (hp₁c₂.trans hpc₂.symm)
let b : Fin 2 → V := ![c₂ -ᵥ c₁, p₂ -ᵥ p₁]
have hb : LinearIndependent ℝ b := by
refine linearIndependent_of_ne_zero_of_inner_eq_zero ?_ ?_
· intro i
fin_cases i <;> simp [b, hc.symm, hp.symm]
· intro i j hij
fin_cases i <;> fin_cases j <;> try exact False.elim (hij rfl)
· exact ho
· rw [real_inner_comm]
exact ho
have hbs : Submodule.span ℝ (Set.range b) = s.direction := by
refine eq_of_le_of_finrank_eq ?_ ?_
· rw [Submodule.span_le, Set.range_subset_iff]
intro i
fin_cases i
· exact vsub_mem_direction hc₂s hc₁s
· exact vsub_mem_direction hp₂s hp₁s
· rw [finrank_span_eq_card hb, Fintype.card_fin, hd]
have hv : ∀ v ∈ s.direction, ∃ t₁ t₂ : ℝ, v = t₁ • (c₂ -ᵥ c₁) + t₂ • (p₂ -ᵥ p₁) := by
intro v hv
have hr : Set.range b = {c₂ -ᵥ c₁, p₂ -ᵥ p₁} := by
have hu : (Finset.univ : Finset (Fin 2)) = {0, 1} := by decide
rw [← Fintype.coe_image_univ, hu]
simp [b]
rw [← hbs, hr, Submodule.mem_span_insert] at hv
rcases hv with ⟨t₁, v', hv', hv⟩
rw [Submodule.mem_span_singleton] at hv'
rcases hv' with ⟨t₂, rfl⟩
exact ⟨t₁, t₂, hv⟩
rcases hv (p -ᵥ p₁) (vsub_mem_direction hps hp₁s) with ⟨t₁, t₂, hpt⟩
simp only [hpt, inner_add_right, inner_smul_right, ho, mul_zero, add_zero,
mul_eq_zero, inner_self_eq_zero, vsub_eq_zero_iff_eq, hc.symm, or_false_iff] at hop
rw [hop, zero_smul, zero_add, ← eq_vadd_iff_vsub_eq] at hpt
subst hpt
have hp' : (p₂ -ᵥ p₁ : V) ≠ 0 := by simp [hp.symm]
have hp₂ : dist ((1 : ℝ) • (p₂ -ᵥ p₁) +ᵥ p₁) c₁ = r₁ := by simp [hp₂c₁]
rw [← hp₁c₁, dist_smul_vadd_eq_dist _ _ hp'] at hpc₁ hp₂
simp only [one_ne_zero, false_or_iff] at hp₂
rw [hp₂.symm] at hpc₁
cases' hpc₁ with hpc₁ hpc₁ <;> simp [hpc₁]
#align euclidean_geometry.eq_of_dist_eq_of_dist_eq_of_mem_of_finrank_eq_two EuclideanGeometry.eq_of_dist_eq_of_dist_eq_of_mem_of_finrank_eq_two
theorem eq_of_dist_eq_of_dist_eq_of_finrank_eq_two [FiniteDimensional ℝ V] (hd : finrank ℝ V = 2)
{c₁ c₂ p₁ p₂ p : P} {r₁ r₂ : ℝ} (hc : c₁ ≠ c₂) (hp : p₁ ≠ p₂) (hp₁c₁ : dist p₁ c₁ = r₁)
(hp₂c₁ : dist p₂ c₁ = r₁) (hpc₁ : dist p c₁ = r₁) (hp₁c₂ : dist p₁ c₂ = r₂)
(hp₂c₂ : dist p₂ c₂ = r₂) (hpc₂ : dist p c₂ = r₂) : p = p₁ ∨ p = p₂ :=
haveI hd' : finrank ℝ (⊤ : AffineSubspace ℝ P).direction = 2 := by
rw [direction_top, finrank_top]
exact hd
eq_of_dist_eq_of_dist_eq_of_mem_of_finrank_eq_two hd' (mem_top ℝ V _) (mem_top ℝ V _)
(mem_top ℝ V _) (mem_top ℝ V _) (mem_top ℝ V _) hc hp hp₁c₁ hp₂c₁ hpc₁ hp₁c₂ hp₂c₂ hpc₂
#align euclidean_geometry.eq_of_dist_eq_of_dist_eq_of_finrank_eq_two EuclideanGeometry.eq_of_dist_eq_of_dist_eq_of_finrank_eq_two
def orthogonalProjectionFn (s : AffineSubspace ℝ P) [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) : P :=
Classical.choose <|
inter_eq_singleton_of_nonempty_of_isCompl (nonempty_subtype.mp ‹_›)
(mk'_nonempty p s.directionᗮ)
(by
rw [direction_mk' p s.directionᗮ]
exact Submodule.isCompl_orthogonal_of_completeSpace)
#align euclidean_geometry.orthogonal_projection_fn EuclideanGeometry.orthogonalProjectionFn
theorem inter_eq_singleton_orthogonalProjectionFn {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) :
(s : Set P) ∩ mk' p s.directionᗮ = {orthogonalProjectionFn s p} :=
Classical.choose_spec <|
inter_eq_singleton_of_nonempty_of_isCompl (nonempty_subtype.mp ‹_›)
(mk'_nonempty p s.directionᗮ)
(by
rw [direction_mk' p s.directionᗮ]
exact Submodule.isCompl_orthogonal_of_completeSpace)
#align euclidean_geometry.inter_eq_singleton_orthogonal_projection_fn EuclideanGeometry.inter_eq_singleton_orthogonalProjectionFn
theorem orthogonalProjectionFn_mem {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) : orthogonalProjectionFn s p ∈ s := by
rw [← mem_coe, ← Set.singleton_subset_iff, ← inter_eq_singleton_orthogonalProjectionFn]
exact Set.inter_subset_left
#align euclidean_geometry.orthogonal_projection_fn_mem EuclideanGeometry.orthogonalProjectionFn_mem
| Mathlib/Geometry/Euclidean/Basic.lean | 251 | 255 | theorem orthogonalProjectionFn_mem_orthogonal {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) :
orthogonalProjectionFn s p ∈ mk' p s.directionᗮ := by |
rw [← mem_coe, ← Set.singleton_subset_iff, ← inter_eq_singleton_orthogonalProjectionFn]
exact Set.inter_subset_right
|
import Mathlib.Data.Fintype.Option
import Mathlib.Data.Fintype.Prod
import Mathlib.Data.Fintype.Pi
import Mathlib.Data.Vector.Basic
import Mathlib.Data.PFun
import Mathlib.Logic.Function.Iterate
import Mathlib.Order.Basic
import Mathlib.Tactic.ApplyFun
#align_import computability.turing_machine from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
assert_not_exists MonoidWithZero
open Relation
open Nat (iterate)
open Function (update iterate_succ iterate_succ_apply iterate_succ' iterate_succ_apply'
iterate_zero_apply)
namespace Turing
def BlankExtends {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : Prop :=
∃ n, l₂ = l₁ ++ List.replicate n default
#align turing.blank_extends Turing.BlankExtends
@[refl]
theorem BlankExtends.refl {Γ} [Inhabited Γ] (l : List Γ) : BlankExtends l l :=
⟨0, by simp⟩
#align turing.blank_extends.refl Turing.BlankExtends.refl
@[trans]
theorem BlankExtends.trans {Γ} [Inhabited Γ] {l₁ l₂ l₃ : List Γ} :
BlankExtends l₁ l₂ → BlankExtends l₂ l₃ → BlankExtends l₁ l₃ := by
rintro ⟨i, rfl⟩ ⟨j, rfl⟩
exact ⟨i + j, by simp [List.replicate_add]⟩
#align turing.blank_extends.trans Turing.BlankExtends.trans
theorem BlankExtends.below_of_le {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} :
BlankExtends l l₁ → BlankExtends l l₂ → l₁.length ≤ l₂.length → BlankExtends l₁ l₂ := by
rintro ⟨i, rfl⟩ ⟨j, rfl⟩ h; use j - i
simp only [List.length_append, Nat.add_le_add_iff_left, List.length_replicate] at h
simp only [← List.replicate_add, Nat.add_sub_cancel' h, List.append_assoc]
#align turing.blank_extends.below_of_le Turing.BlankExtends.below_of_le
def BlankExtends.above {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} (h₁ : BlankExtends l l₁)
(h₂ : BlankExtends l l₂) : { l' // BlankExtends l₁ l' ∧ BlankExtends l₂ l' } :=
if h : l₁.length ≤ l₂.length then ⟨l₂, h₁.below_of_le h₂ h, BlankExtends.refl _⟩
else ⟨l₁, BlankExtends.refl _, h₂.below_of_le h₁ (le_of_not_ge h)⟩
#align turing.blank_extends.above Turing.BlankExtends.above
theorem BlankExtends.above_of_le {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} :
BlankExtends l₁ l → BlankExtends l₂ l → l₁.length ≤ l₂.length → BlankExtends l₁ l₂ := by
rintro ⟨i, rfl⟩ ⟨j, e⟩ h; use i - j
refine List.append_cancel_right (e.symm.trans ?_)
rw [List.append_assoc, ← List.replicate_add, Nat.sub_add_cancel]
apply_fun List.length at e
simp only [List.length_append, List.length_replicate] at e
rwa [← Nat.add_le_add_iff_left, e, Nat.add_le_add_iff_right]
#align turing.blank_extends.above_of_le Turing.BlankExtends.above_of_le
def BlankRel {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : Prop :=
BlankExtends l₁ l₂ ∨ BlankExtends l₂ l₁
#align turing.blank_rel Turing.BlankRel
@[refl]
theorem BlankRel.refl {Γ} [Inhabited Γ] (l : List Γ) : BlankRel l l :=
Or.inl (BlankExtends.refl _)
#align turing.blank_rel.refl Turing.BlankRel.refl
@[symm]
theorem BlankRel.symm {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} : BlankRel l₁ l₂ → BlankRel l₂ l₁ :=
Or.symm
#align turing.blank_rel.symm Turing.BlankRel.symm
@[trans]
theorem BlankRel.trans {Γ} [Inhabited Γ] {l₁ l₂ l₃ : List Γ} :
BlankRel l₁ l₂ → BlankRel l₂ l₃ → BlankRel l₁ l₃ := by
rintro (h₁ | h₁) (h₂ | h₂)
· exact Or.inl (h₁.trans h₂)
· rcases le_total l₁.length l₃.length with h | h
· exact Or.inl (h₁.above_of_le h₂ h)
· exact Or.inr (h₂.above_of_le h₁ h)
· rcases le_total l₁.length l₃.length with h | h
· exact Or.inl (h₁.below_of_le h₂ h)
· exact Or.inr (h₂.below_of_le h₁ h)
· exact Or.inr (h₂.trans h₁)
#align turing.blank_rel.trans Turing.BlankRel.trans
def BlankRel.above {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} (h : BlankRel l₁ l₂) :
{ l // BlankExtends l₁ l ∧ BlankExtends l₂ l } := by
refine
if hl : l₁.length ≤ l₂.length then ⟨l₂, Or.elim h id fun h' ↦ ?_, BlankExtends.refl _⟩
else ⟨l₁, BlankExtends.refl _, Or.elim h (fun h' ↦ ?_) id⟩
· exact (BlankExtends.refl _).above_of_le h' hl
· exact (BlankExtends.refl _).above_of_le h' (le_of_not_ge hl)
#align turing.blank_rel.above Turing.BlankRel.above
def BlankRel.below {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} (h : BlankRel l₁ l₂) :
{ l // BlankExtends l l₁ ∧ BlankExtends l l₂ } := by
refine
if hl : l₁.length ≤ l₂.length then ⟨l₁, BlankExtends.refl _, Or.elim h id fun h' ↦ ?_⟩
else ⟨l₂, Or.elim h (fun h' ↦ ?_) id, BlankExtends.refl _⟩
· exact (BlankExtends.refl _).above_of_le h' hl
· exact (BlankExtends.refl _).above_of_le h' (le_of_not_ge hl)
#align turing.blank_rel.below Turing.BlankRel.below
theorem BlankRel.equivalence (Γ) [Inhabited Γ] : Equivalence (@BlankRel Γ _) :=
⟨BlankRel.refl, @BlankRel.symm _ _, @BlankRel.trans _ _⟩
#align turing.blank_rel.equivalence Turing.BlankRel.equivalence
def BlankRel.setoid (Γ) [Inhabited Γ] : Setoid (List Γ) :=
⟨_, BlankRel.equivalence _⟩
#align turing.blank_rel.setoid Turing.BlankRel.setoid
def ListBlank (Γ) [Inhabited Γ] :=
Quotient (BlankRel.setoid Γ)
#align turing.list_blank Turing.ListBlank
instance ListBlank.inhabited {Γ} [Inhabited Γ] : Inhabited (ListBlank Γ) :=
⟨Quotient.mk'' []⟩
#align turing.list_blank.inhabited Turing.ListBlank.inhabited
instance ListBlank.hasEmptyc {Γ} [Inhabited Γ] : EmptyCollection (ListBlank Γ) :=
⟨Quotient.mk'' []⟩
#align turing.list_blank.has_emptyc Turing.ListBlank.hasEmptyc
-- Porting note: Removed `@[elab_as_elim]`
protected abbrev ListBlank.liftOn {Γ} [Inhabited Γ] {α} (l : ListBlank Γ) (f : List Γ → α)
(H : ∀ a b, BlankExtends a b → f a = f b) : α :=
l.liftOn' f <| by rintro a b (h | h) <;> [exact H _ _ h; exact (H _ _ h).symm]
#align turing.list_blank.lift_on Turing.ListBlank.liftOn
def ListBlank.mk {Γ} [Inhabited Γ] : List Γ → ListBlank Γ :=
Quotient.mk''
#align turing.list_blank.mk Turing.ListBlank.mk
@[elab_as_elim]
protected theorem ListBlank.induction_on {Γ} [Inhabited Γ] {p : ListBlank Γ → Prop}
(q : ListBlank Γ) (h : ∀ a, p (ListBlank.mk a)) : p q :=
Quotient.inductionOn' q h
#align turing.list_blank.induction_on Turing.ListBlank.induction_on
def ListBlank.head {Γ} [Inhabited Γ] (l : ListBlank Γ) : Γ := by
apply l.liftOn List.headI
rintro a _ ⟨i, rfl⟩
cases a
· cases i <;> rfl
rfl
#align turing.list_blank.head Turing.ListBlank.head
@[simp]
theorem ListBlank.head_mk {Γ} [Inhabited Γ] (l : List Γ) :
ListBlank.head (ListBlank.mk l) = l.headI :=
rfl
#align turing.list_blank.head_mk Turing.ListBlank.head_mk
def ListBlank.tail {Γ} [Inhabited Γ] (l : ListBlank Γ) : ListBlank Γ := by
apply l.liftOn (fun l ↦ ListBlank.mk l.tail)
rintro a _ ⟨i, rfl⟩
refine Quotient.sound' (Or.inl ?_)
cases a
· cases' i with i <;> [exact ⟨0, rfl⟩; exact ⟨i, rfl⟩]
exact ⟨i, rfl⟩
#align turing.list_blank.tail Turing.ListBlank.tail
@[simp]
theorem ListBlank.tail_mk {Γ} [Inhabited Γ] (l : List Γ) :
ListBlank.tail (ListBlank.mk l) = ListBlank.mk l.tail :=
rfl
#align turing.list_blank.tail_mk Turing.ListBlank.tail_mk
def ListBlank.cons {Γ} [Inhabited Γ] (a : Γ) (l : ListBlank Γ) : ListBlank Γ := by
apply l.liftOn (fun l ↦ ListBlank.mk (List.cons a l))
rintro _ _ ⟨i, rfl⟩
exact Quotient.sound' (Or.inl ⟨i, rfl⟩)
#align turing.list_blank.cons Turing.ListBlank.cons
@[simp]
theorem ListBlank.cons_mk {Γ} [Inhabited Γ] (a : Γ) (l : List Γ) :
ListBlank.cons a (ListBlank.mk l) = ListBlank.mk (a :: l) :=
rfl
#align turing.list_blank.cons_mk Turing.ListBlank.cons_mk
@[simp]
theorem ListBlank.head_cons {Γ} [Inhabited Γ] (a : Γ) : ∀ l : ListBlank Γ, (l.cons a).head = a :=
Quotient.ind' fun _ ↦ rfl
#align turing.list_blank.head_cons Turing.ListBlank.head_cons
@[simp]
theorem ListBlank.tail_cons {Γ} [Inhabited Γ] (a : Γ) : ∀ l : ListBlank Γ, (l.cons a).tail = l :=
Quotient.ind' fun _ ↦ rfl
#align turing.list_blank.tail_cons Turing.ListBlank.tail_cons
@[simp]
theorem ListBlank.cons_head_tail {Γ} [Inhabited Γ] : ∀ l : ListBlank Γ, l.tail.cons l.head = l := by
apply Quotient.ind'
refine fun l ↦ Quotient.sound' (Or.inr ?_)
cases l
· exact ⟨1, rfl⟩
· rfl
#align turing.list_blank.cons_head_tail Turing.ListBlank.cons_head_tail
theorem ListBlank.exists_cons {Γ} [Inhabited Γ] (l : ListBlank Γ) :
∃ a l', l = ListBlank.cons a l' :=
⟨_, _, (ListBlank.cons_head_tail _).symm⟩
#align turing.list_blank.exists_cons Turing.ListBlank.exists_cons
def ListBlank.nth {Γ} [Inhabited Γ] (l : ListBlank Γ) (n : ℕ) : Γ := by
apply l.liftOn (fun l ↦ List.getI l n)
rintro l _ ⟨i, rfl⟩
cases' lt_or_le n _ with h h
· rw [List.getI_append _ _ _ h]
rw [List.getI_eq_default _ h]
rcases le_or_lt _ n with h₂ | h₂
· rw [List.getI_eq_default _ h₂]
rw [List.getI_eq_get _ h₂, List.get_append_right' h, List.get_replicate]
#align turing.list_blank.nth Turing.ListBlank.nth
@[simp]
theorem ListBlank.nth_mk {Γ} [Inhabited Γ] (l : List Γ) (n : ℕ) :
(ListBlank.mk l).nth n = l.getI n :=
rfl
#align turing.list_blank.nth_mk Turing.ListBlank.nth_mk
@[simp]
theorem ListBlank.nth_zero {Γ} [Inhabited Γ] (l : ListBlank Γ) : l.nth 0 = l.head := by
conv => lhs; rw [← ListBlank.cons_head_tail l]
exact Quotient.inductionOn' l.tail fun l ↦ rfl
#align turing.list_blank.nth_zero Turing.ListBlank.nth_zero
@[simp]
theorem ListBlank.nth_succ {Γ} [Inhabited Γ] (l : ListBlank Γ) (n : ℕ) :
l.nth (n + 1) = l.tail.nth n := by
conv => lhs; rw [← ListBlank.cons_head_tail l]
exact Quotient.inductionOn' l.tail fun l ↦ rfl
#align turing.list_blank.nth_succ Turing.ListBlank.nth_succ
@[ext]
theorem ListBlank.ext {Γ} [i : Inhabited Γ] {L₁ L₂ : ListBlank Γ} :
(∀ i, L₁.nth i = L₂.nth i) → L₁ = L₂ := by
refine ListBlank.induction_on L₁ fun l₁ ↦ ListBlank.induction_on L₂ fun l₂ H ↦ ?_
wlog h : l₁.length ≤ l₂.length
· cases le_total l₁.length l₂.length <;> [skip; symm] <;> apply this <;> try assumption
intro
rw [H]
refine Quotient.sound' (Or.inl ⟨l₂.length - l₁.length, ?_⟩)
refine List.ext_get ?_ fun i h h₂ ↦ Eq.symm ?_
· simp only [Nat.add_sub_cancel' h, List.length_append, List.length_replicate]
simp only [ListBlank.nth_mk] at H
cases' lt_or_le i l₁.length with h' h'
· simp only [List.get_append _ h', List.get?_eq_get h, List.get?_eq_get h',
← List.getI_eq_get _ h, ← List.getI_eq_get _ h', H]
· simp only [List.get_append_right' h', List.get_replicate, List.get?_eq_get h,
List.get?_len_le h', ← List.getI_eq_default _ h', H, List.getI_eq_get _ h]
#align turing.list_blank.ext Turing.ListBlank.ext
@[simp]
def ListBlank.modifyNth {Γ} [Inhabited Γ] (f : Γ → Γ) : ℕ → ListBlank Γ → ListBlank Γ
| 0, L => L.tail.cons (f L.head)
| n + 1, L => (L.tail.modifyNth f n).cons L.head
#align turing.list_blank.modify_nth Turing.ListBlank.modifyNth
theorem ListBlank.nth_modifyNth {Γ} [Inhabited Γ] (f : Γ → Γ) (n i) (L : ListBlank Γ) :
(L.modifyNth f n).nth i = if i = n then f (L.nth i) else L.nth i := by
induction' n with n IH generalizing i L
· cases i <;> simp only [ListBlank.nth_zero, if_true, ListBlank.head_cons, ListBlank.modifyNth,
ListBlank.nth_succ, if_false, ListBlank.tail_cons, Nat.zero_eq]
· cases i
· rw [if_neg (Nat.succ_ne_zero _).symm]
simp only [ListBlank.nth_zero, ListBlank.head_cons, ListBlank.modifyNth, Nat.zero_eq]
· simp only [IH, ListBlank.modifyNth, ListBlank.nth_succ, ListBlank.tail_cons, Nat.succ.injEq]
#align turing.list_blank.nth_modify_nth Turing.ListBlank.nth_modifyNth
structure PointedMap.{u, v} (Γ : Type u) (Γ' : Type v) [Inhabited Γ] [Inhabited Γ'] :
Type max u v where
f : Γ → Γ'
map_pt' : f default = default
#align turing.pointed_map Turing.PointedMap
instance {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] : Inhabited (PointedMap Γ Γ') :=
⟨⟨default, rfl⟩⟩
instance {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] : CoeFun (PointedMap Γ Γ') fun _ ↦ Γ → Γ' :=
⟨PointedMap.f⟩
-- @[simp] -- Porting note (#10685): dsimp can prove this
theorem PointedMap.mk_val {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : Γ → Γ') (pt) :
(PointedMap.mk f pt : Γ → Γ') = f :=
rfl
#align turing.pointed_map.mk_val Turing.PointedMap.mk_val
@[simp]
theorem PointedMap.map_pt {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') :
f default = default :=
PointedMap.map_pt' _
#align turing.pointed_map.map_pt Turing.PointedMap.map_pt
@[simp]
theorem PointedMap.headI_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ')
(l : List Γ) : (l.map f).headI = f l.headI := by
cases l <;> [exact (PointedMap.map_pt f).symm; rfl]
#align turing.pointed_map.head_map Turing.PointedMap.headI_map
def ListBlank.map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) :
ListBlank Γ' := by
apply l.liftOn (fun l ↦ ListBlank.mk (List.map f l))
rintro l _ ⟨i, rfl⟩; refine Quotient.sound' (Or.inl ⟨i, ?_⟩)
simp only [PointedMap.map_pt, List.map_append, List.map_replicate]
#align turing.list_blank.map Turing.ListBlank.map
@[simp]
theorem ListBlank.map_mk {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : List Γ) :
(ListBlank.mk l).map f = ListBlank.mk (l.map f) :=
rfl
#align turing.list_blank.map_mk Turing.ListBlank.map_mk
@[simp]
theorem ListBlank.head_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ')
(l : ListBlank Γ) : (l.map f).head = f l.head := by
conv => lhs; rw [← ListBlank.cons_head_tail l]
exact Quotient.inductionOn' l fun a ↦ rfl
#align turing.list_blank.head_map Turing.ListBlank.head_map
@[simp]
theorem ListBlank.tail_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ')
(l : ListBlank Γ) : (l.map f).tail = l.tail.map f := by
conv => lhs; rw [← ListBlank.cons_head_tail l]
exact Quotient.inductionOn' l fun a ↦ rfl
#align turing.list_blank.tail_map Turing.ListBlank.tail_map
@[simp]
theorem ListBlank.map_cons {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ')
(l : ListBlank Γ) (a : Γ) : (l.cons a).map f = (l.map f).cons (f a) := by
refine (ListBlank.cons_head_tail _).symm.trans ?_
simp only [ListBlank.head_map, ListBlank.head_cons, ListBlank.tail_map, ListBlank.tail_cons]
#align turing.list_blank.map_cons Turing.ListBlank.map_cons
@[simp]
theorem ListBlank.nth_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ')
(l : ListBlank Γ) (n : ℕ) : (l.map f).nth n = f (l.nth n) := by
refine l.inductionOn fun l ↦ ?_
-- Porting note: Added `suffices` to get `simp` to work.
suffices ((mk l).map f).nth n = f ((mk l).nth n) by exact this
simp only [List.get?_map, ListBlank.map_mk, ListBlank.nth_mk, List.getI_eq_iget_get?]
cases l.get? n
· exact f.2.symm
· rfl
#align turing.list_blank.nth_map Turing.ListBlank.nth_map
def proj {ι : Type*} {Γ : ι → Type*} [∀ i, Inhabited (Γ i)] (i : ι) :
PointedMap (∀ i, Γ i) (Γ i) :=
⟨fun a ↦ a i, rfl⟩
#align turing.proj Turing.proj
theorem proj_map_nth {ι : Type*} {Γ : ι → Type*} [∀ i, Inhabited (Γ i)] (i : ι) (L n) :
(ListBlank.map (@proj ι Γ _ i) L).nth n = L.nth n i := by
rw [ListBlank.nth_map]; rfl
#align turing.proj_map_nth Turing.proj_map_nth
theorem ListBlank.map_modifyNth {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (F : PointedMap Γ Γ')
(f : Γ → Γ) (f' : Γ' → Γ') (H : ∀ x, F (f x) = f' (F x)) (n) (L : ListBlank Γ) :
(L.modifyNth f n).map F = (L.map F).modifyNth f' n := by
induction' n with n IH generalizing L <;>
simp only [*, ListBlank.head_map, ListBlank.modifyNth, ListBlank.map_cons, ListBlank.tail_map]
#align turing.list_blank.map_modify_nth Turing.ListBlank.map_modifyNth
@[simp]
def ListBlank.append {Γ} [Inhabited Γ] : List Γ → ListBlank Γ → ListBlank Γ
| [], L => L
| a :: l, L => ListBlank.cons a (ListBlank.append l L)
#align turing.list_blank.append Turing.ListBlank.append
@[simp]
theorem ListBlank.append_mk {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) :
ListBlank.append l₁ (ListBlank.mk l₂) = ListBlank.mk (l₁ ++ l₂) := by
induction l₁ <;>
simp only [*, ListBlank.append, List.nil_append, List.cons_append, ListBlank.cons_mk]
#align turing.list_blank.append_mk Turing.ListBlank.append_mk
theorem ListBlank.append_assoc {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) (l₃ : ListBlank Γ) :
ListBlank.append (l₁ ++ l₂) l₃ = ListBlank.append l₁ (ListBlank.append l₂ l₃) := by
refine l₃.inductionOn fun l ↦ ?_
-- Porting note: Added `suffices` to get `simp` to work.
suffices append (l₁ ++ l₂) (mk l) = append l₁ (append l₂ (mk l)) by exact this
simp only [ListBlank.append_mk, List.append_assoc]
#align turing.list_blank.append_assoc Turing.ListBlank.append_assoc
def ListBlank.bind {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (l : ListBlank Γ) (f : Γ → List Γ')
(hf : ∃ n, f default = List.replicate n default) : ListBlank Γ' := by
apply l.liftOn (fun l ↦ ListBlank.mk (List.bind l f))
rintro l _ ⟨i, rfl⟩; cases' hf with n e; refine Quotient.sound' (Or.inl ⟨i * n, ?_⟩)
rw [List.append_bind, mul_comm]; congr
induction' i with i IH
· rfl
simp only [IH, e, List.replicate_add, Nat.mul_succ, add_comm, List.replicate_succ, List.cons_bind]
#align turing.list_blank.bind Turing.ListBlank.bind
@[simp]
theorem ListBlank.bind_mk {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (l : List Γ) (f : Γ → List Γ') (hf) :
(ListBlank.mk l).bind f hf = ListBlank.mk (l.bind f) :=
rfl
#align turing.list_blank.bind_mk Turing.ListBlank.bind_mk
@[simp]
theorem ListBlank.cons_bind {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (a : Γ) (l : ListBlank Γ)
(f : Γ → List Γ') (hf) : (l.cons a).bind f hf = (l.bind f hf).append (f a) := by
refine l.inductionOn fun l ↦ ?_
-- Porting note: Added `suffices` to get `simp` to work.
suffices ((mk l).cons a).bind f hf = ((mk l).bind f hf).append (f a) by exact this
simp only [ListBlank.append_mk, ListBlank.bind_mk, ListBlank.cons_mk, List.cons_bind]
#align turing.list_blank.cons_bind Turing.ListBlank.cons_bind
structure Tape (Γ : Type*) [Inhabited Γ] where
head : Γ
left : ListBlank Γ
right : ListBlank Γ
#align turing.tape Turing.Tape
instance Tape.inhabited {Γ} [Inhabited Γ] : Inhabited (Tape Γ) :=
⟨by constructor <;> apply default⟩
#align turing.tape.inhabited Turing.Tape.inhabited
inductive Dir
| left
| right
deriving DecidableEq, Inhabited
#align turing.dir Turing.Dir
def Tape.left₀ {Γ} [Inhabited Γ] (T : Tape Γ) : ListBlank Γ :=
T.left.cons T.head
#align turing.tape.left₀ Turing.Tape.left₀
def Tape.right₀ {Γ} [Inhabited Γ] (T : Tape Γ) : ListBlank Γ :=
T.right.cons T.head
#align turing.tape.right₀ Turing.Tape.right₀
def Tape.move {Γ} [Inhabited Γ] : Dir → Tape Γ → Tape Γ
| Dir.left, ⟨a, L, R⟩ => ⟨L.head, L.tail, R.cons a⟩
| Dir.right, ⟨a, L, R⟩ => ⟨R.head, L.cons a, R.tail⟩
#align turing.tape.move Turing.Tape.move
@[simp]
theorem Tape.move_left_right {Γ} [Inhabited Γ] (T : Tape Γ) :
(T.move Dir.left).move Dir.right = T := by
cases T; simp [Tape.move]
#align turing.tape.move_left_right Turing.Tape.move_left_right
@[simp]
theorem Tape.move_right_left {Γ} [Inhabited Γ] (T : Tape Γ) :
(T.move Dir.right).move Dir.left = T := by
cases T; simp [Tape.move]
#align turing.tape.move_right_left Turing.Tape.move_right_left
def Tape.mk' {Γ} [Inhabited Γ] (L R : ListBlank Γ) : Tape Γ :=
⟨R.head, L, R.tail⟩
#align turing.tape.mk' Turing.Tape.mk'
@[simp]
theorem Tape.mk'_left {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).left = L :=
rfl
#align turing.tape.mk'_left Turing.Tape.mk'_left
@[simp]
theorem Tape.mk'_head {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).head = R.head :=
rfl
#align turing.tape.mk'_head Turing.Tape.mk'_head
@[simp]
theorem Tape.mk'_right {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).right = R.tail :=
rfl
#align turing.tape.mk'_right Turing.Tape.mk'_right
@[simp]
theorem Tape.mk'_right₀ {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).right₀ = R :=
ListBlank.cons_head_tail _
#align turing.tape.mk'_right₀ Turing.Tape.mk'_right₀
@[simp]
theorem Tape.mk'_left_right₀ {Γ} [Inhabited Γ] (T : Tape Γ) : Tape.mk' T.left T.right₀ = T := by
cases T
simp only [Tape.right₀, Tape.mk', ListBlank.head_cons, ListBlank.tail_cons, eq_self_iff_true,
and_self_iff]
#align turing.tape.mk'_left_right₀ Turing.Tape.mk'_left_right₀
theorem Tape.exists_mk' {Γ} [Inhabited Γ] (T : Tape Γ) : ∃ L R, T = Tape.mk' L R :=
⟨_, _, (Tape.mk'_left_right₀ _).symm⟩
#align turing.tape.exists_mk' Turing.Tape.exists_mk'
@[simp]
theorem Tape.move_left_mk' {Γ} [Inhabited Γ] (L R : ListBlank Γ) :
(Tape.mk' L R).move Dir.left = Tape.mk' L.tail (R.cons L.head) := by
simp only [Tape.move, Tape.mk', ListBlank.head_cons, eq_self_iff_true, ListBlank.cons_head_tail,
and_self_iff, ListBlank.tail_cons]
#align turing.tape.move_left_mk' Turing.Tape.move_left_mk'
@[simp]
theorem Tape.move_right_mk' {Γ} [Inhabited Γ] (L R : ListBlank Γ) :
(Tape.mk' L R).move Dir.right = Tape.mk' (L.cons R.head) R.tail := by
simp only [Tape.move, Tape.mk', ListBlank.head_cons, eq_self_iff_true, ListBlank.cons_head_tail,
and_self_iff, ListBlank.tail_cons]
#align turing.tape.move_right_mk' Turing.Tape.move_right_mk'
def Tape.mk₂ {Γ} [Inhabited Γ] (L R : List Γ) : Tape Γ :=
Tape.mk' (ListBlank.mk L) (ListBlank.mk R)
#align turing.tape.mk₂ Turing.Tape.mk₂
def Tape.mk₁ {Γ} [Inhabited Γ] (l : List Γ) : Tape Γ :=
Tape.mk₂ [] l
#align turing.tape.mk₁ Turing.Tape.mk₁
def Tape.nth {Γ} [Inhabited Γ] (T : Tape Γ) : ℤ → Γ
| 0 => T.head
| (n + 1 : ℕ) => T.right.nth n
| -(n + 1 : ℕ) => T.left.nth n
#align turing.tape.nth Turing.Tape.nth
@[simp]
theorem Tape.nth_zero {Γ} [Inhabited Γ] (T : Tape Γ) : T.nth 0 = T.1 :=
rfl
#align turing.tape.nth_zero Turing.Tape.nth_zero
theorem Tape.right₀_nth {Γ} [Inhabited Γ] (T : Tape Γ) (n : ℕ) : T.right₀.nth n = T.nth n := by
cases n <;> simp only [Tape.nth, Tape.right₀, Int.ofNat_zero, ListBlank.nth_zero,
ListBlank.nth_succ, ListBlank.head_cons, ListBlank.tail_cons, Nat.zero_eq]
#align turing.tape.right₀_nth Turing.Tape.right₀_nth
@[simp]
theorem Tape.mk'_nth_nat {Γ} [Inhabited Γ] (L R : ListBlank Γ) (n : ℕ) :
(Tape.mk' L R).nth n = R.nth n := by
rw [← Tape.right₀_nth, Tape.mk'_right₀]
#align turing.tape.mk'_nth_nat Turing.Tape.mk'_nth_nat
@[simp]
theorem Tape.move_left_nth {Γ} [Inhabited Γ] :
∀ (T : Tape Γ) (i : ℤ), (T.move Dir.left).nth i = T.nth (i - 1)
| ⟨_, L, _⟩, -(n + 1 : ℕ) => (ListBlank.nth_succ _ _).symm
| ⟨_, L, _⟩, 0 => (ListBlank.nth_zero _).symm
| ⟨a, L, R⟩, 1 => (ListBlank.nth_zero _).trans (ListBlank.head_cons _ _)
| ⟨a, L, R⟩, (n + 1 : ℕ) + 1 => by
rw [add_sub_cancel_right]
change (R.cons a).nth (n + 1) = R.nth n
rw [ListBlank.nth_succ, ListBlank.tail_cons]
#align turing.tape.move_left_nth Turing.Tape.move_left_nth
@[simp]
theorem Tape.move_right_nth {Γ} [Inhabited Γ] (T : Tape Γ) (i : ℤ) :
(T.move Dir.right).nth i = T.nth (i + 1) := by
conv => rhs; rw [← T.move_right_left]
rw [Tape.move_left_nth, add_sub_cancel_right]
#align turing.tape.move_right_nth Turing.Tape.move_right_nth
@[simp]
theorem Tape.move_right_n_head {Γ} [Inhabited Γ] (T : Tape Γ) (i : ℕ) :
((Tape.move Dir.right)^[i] T).head = T.nth i := by
induction i generalizing T
· rfl
· simp only [*, Tape.move_right_nth, Int.ofNat_succ, iterate_succ, Function.comp_apply]
#align turing.tape.move_right_n_head Turing.Tape.move_right_n_head
def Tape.write {Γ} [Inhabited Γ] (b : Γ) (T : Tape Γ) : Tape Γ :=
{ T with head := b }
#align turing.tape.write Turing.Tape.write
@[simp]
theorem Tape.write_self {Γ} [Inhabited Γ] : ∀ T : Tape Γ, T.write T.1 = T := by
rintro ⟨⟩; rfl
#align turing.tape.write_self Turing.Tape.write_self
@[simp]
theorem Tape.write_nth {Γ} [Inhabited Γ] (b : Γ) :
∀ (T : Tape Γ) {i : ℤ}, (T.write b).nth i = if i = 0 then b else T.nth i
| _, 0 => rfl
| _, (_ + 1 : ℕ) => rfl
| _, -(_ + 1 : ℕ) => rfl
#align turing.tape.write_nth Turing.Tape.write_nth
@[simp]
theorem Tape.write_mk' {Γ} [Inhabited Γ] (a b : Γ) (L R : ListBlank Γ) :
(Tape.mk' L (R.cons a)).write b = Tape.mk' L (R.cons b) := by
simp only [Tape.write, Tape.mk', ListBlank.head_cons, ListBlank.tail_cons, eq_self_iff_true,
and_self_iff]
#align turing.tape.write_mk' Turing.Tape.write_mk'
def Tape.map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (T : Tape Γ) : Tape Γ' :=
⟨f T.1, T.2.map f, T.3.map f⟩
#align turing.tape.map Turing.Tape.map
@[simp]
theorem Tape.map_fst {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') :
∀ T : Tape Γ, (T.map f).1 = f T.1 := by
rintro ⟨⟩; rfl
#align turing.tape.map_fst Turing.Tape.map_fst
@[simp]
theorem Tape.map_write {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (b : Γ) :
∀ T : Tape Γ, (T.write b).map f = (T.map f).write (f b) := by
rintro ⟨⟩; rfl
#align turing.tape.map_write Turing.Tape.map_write
-- Porting note: `simpNF` complains about LHS does not simplify when using the simp lemma on
-- itself, but it does indeed.
@[simp, nolint simpNF]
theorem Tape.write_move_right_n {Γ} [Inhabited Γ] (f : Γ → Γ) (L R : ListBlank Γ) (n : ℕ) :
((Tape.move Dir.right)^[n] (Tape.mk' L R)).write (f (R.nth n)) =
(Tape.move Dir.right)^[n] (Tape.mk' L (R.modifyNth f n)) := by
induction' n with n IH generalizing L R
· simp only [ListBlank.nth_zero, ListBlank.modifyNth, iterate_zero_apply, Nat.zero_eq]
rw [← Tape.write_mk', ListBlank.cons_head_tail]
simp only [ListBlank.head_cons, ListBlank.nth_succ, ListBlank.modifyNth, Tape.move_right_mk',
ListBlank.tail_cons, iterate_succ_apply, IH]
#align turing.tape.write_move_right_n Turing.Tape.write_move_right_n
theorem Tape.map_move {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (T : Tape Γ) (d) :
(T.move d).map f = (T.map f).move d := by
cases T
cases d <;> simp only [Tape.move, Tape.map, ListBlank.head_map, eq_self_iff_true,
ListBlank.map_cons, and_self_iff, ListBlank.tail_map]
#align turing.tape.map_move Turing.Tape.map_move
theorem Tape.map_mk' {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (L R : ListBlank Γ) :
(Tape.mk' L R).map f = Tape.mk' (L.map f) (R.map f) := by
simp only [Tape.mk', Tape.map, ListBlank.head_map, eq_self_iff_true, and_self_iff,
ListBlank.tail_map]
#align turing.tape.map_mk' Turing.Tape.map_mk'
theorem Tape.map_mk₂ {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (L R : List Γ) :
(Tape.mk₂ L R).map f = Tape.mk₂ (L.map f) (R.map f) := by
simp only [Tape.mk₂, Tape.map_mk', ListBlank.map_mk]
#align turing.tape.map_mk₂ Turing.Tape.map_mk₂
theorem Tape.map_mk₁ {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : List Γ) :
(Tape.mk₁ l).map f = Tape.mk₁ (l.map f) :=
Tape.map_mk₂ _ _ _
#align turing.tape.map_mk₁ Turing.Tape.map_mk₁
def eval {σ} (f : σ → Option σ) : σ → Part σ :=
PFun.fix fun s ↦ Part.some <| (f s).elim (Sum.inl s) Sum.inr
#align turing.eval Turing.eval
def Reaches {σ} (f : σ → Option σ) : σ → σ → Prop :=
ReflTransGen fun a b ↦ b ∈ f a
#align turing.reaches Turing.Reaches
def Reaches₁ {σ} (f : σ → Option σ) : σ → σ → Prop :=
TransGen fun a b ↦ b ∈ f a
#align turing.reaches₁ Turing.Reaches₁
theorem reaches₁_eq {σ} {f : σ → Option σ} {a b c} (h : f a = f b) :
Reaches₁ f a c ↔ Reaches₁ f b c :=
TransGen.head'_iff.trans (TransGen.head'_iff.trans <| by rw [h]).symm
#align turing.reaches₁_eq Turing.reaches₁_eq
theorem reaches_total {σ} {f : σ → Option σ} {a b c} (hab : Reaches f a b) (hac : Reaches f a c) :
Reaches f b c ∨ Reaches f c b :=
ReflTransGen.total_of_right_unique (fun _ _ _ ↦ Option.mem_unique) hab hac
#align turing.reaches_total Turing.reaches_total
theorem reaches₁_fwd {σ} {f : σ → Option σ} {a b c} (h₁ : Reaches₁ f a c) (h₂ : b ∈ f a) :
Reaches f b c := by
rcases TransGen.head'_iff.1 h₁ with ⟨b', hab, hbc⟩
cases Option.mem_unique hab h₂; exact hbc
#align turing.reaches₁_fwd Turing.reaches₁_fwd
def Reaches₀ {σ} (f : σ → Option σ) (a b : σ) : Prop :=
∀ c, Reaches₁ f b c → Reaches₁ f a c
#align turing.reaches₀ Turing.Reaches₀
theorem Reaches₀.trans {σ} {f : σ → Option σ} {a b c : σ} (h₁ : Reaches₀ f a b)
(h₂ : Reaches₀ f b c) : Reaches₀ f a c
| _, h₃ => h₁ _ (h₂ _ h₃)
#align turing.reaches₀.trans Turing.Reaches₀.trans
@[refl]
theorem Reaches₀.refl {σ} {f : σ → Option σ} (a : σ) : Reaches₀ f a a
| _, h => h
#align turing.reaches₀.refl Turing.Reaches₀.refl
theorem Reaches₀.single {σ} {f : σ → Option σ} {a b : σ} (h : b ∈ f a) : Reaches₀ f a b
| _, h₂ => h₂.head h
#align turing.reaches₀.single Turing.Reaches₀.single
theorem Reaches₀.head {σ} {f : σ → Option σ} {a b c : σ} (h : b ∈ f a) (h₂ : Reaches₀ f b c) :
Reaches₀ f a c :=
(Reaches₀.single h).trans h₂
#align turing.reaches₀.head Turing.Reaches₀.head
theorem Reaches₀.tail {σ} {f : σ → Option σ} {a b c : σ} (h₁ : Reaches₀ f a b) (h : c ∈ f b) :
Reaches₀ f a c :=
h₁.trans (Reaches₀.single h)
#align turing.reaches₀.tail Turing.Reaches₀.tail
theorem reaches₀_eq {σ} {f : σ → Option σ} {a b} (e : f a = f b) : Reaches₀ f a b
| _, h => (reaches₁_eq e).2 h
#align turing.reaches₀_eq Turing.reaches₀_eq
theorem Reaches₁.to₀ {σ} {f : σ → Option σ} {a b : σ} (h : Reaches₁ f a b) : Reaches₀ f a b
| _, h₂ => h.trans h₂
#align turing.reaches₁.to₀ Turing.Reaches₁.to₀
theorem Reaches.to₀ {σ} {f : σ → Option σ} {a b : σ} (h : Reaches f a b) : Reaches₀ f a b
| _, h₂ => h₂.trans_right h
#align turing.reaches.to₀ Turing.Reaches.to₀
theorem Reaches₀.tail' {σ} {f : σ → Option σ} {a b c : σ} (h : Reaches₀ f a b) (h₂ : c ∈ f b) :
Reaches₁ f a c :=
h _ (TransGen.single h₂)
#align turing.reaches₀.tail' Turing.Reaches₀.tail'
@[elab_as_elim]
def evalInduction {σ} {f : σ → Option σ} {b : σ} {C : σ → Sort*} {a : σ}
(h : b ∈ eval f a) (H : ∀ a, b ∈ eval f a → (∀ a', f a = some a' → C a') → C a) : C a :=
PFun.fixInduction h fun a' ha' h' ↦
H _ ha' fun b' e ↦ h' _ <| Part.mem_some_iff.2 <| by rw [e]; rfl
#align turing.eval_induction Turing.evalInduction
theorem mem_eval {σ} {f : σ → Option σ} {a b} : b ∈ eval f a ↔ Reaches f a b ∧ f b = none := by
refine ⟨fun h ↦ ?_, fun ⟨h₁, h₂⟩ ↦ ?_⟩
· -- Porting note: Explicitly specify `c`.
refine @evalInduction _ _ _ (fun a ↦ Reaches f a b ∧ f b = none) _ h fun a h IH ↦ ?_
cases' e : f a with a'
· rw [Part.mem_unique h
(PFun.mem_fix_iff.2 <| Or.inl <| Part.mem_some_iff.2 <| by rw [e] <;> rfl)]
exact ⟨ReflTransGen.refl, e⟩
· rcases PFun.mem_fix_iff.1 h with (h | ⟨_, h, _⟩) <;> rw [e] at h <;>
cases Part.mem_some_iff.1 h
cases' IH a' e with h₁ h₂
exact ⟨ReflTransGen.head e h₁, h₂⟩
· refine ReflTransGen.head_induction_on h₁ ?_ fun h _ IH ↦ ?_
· refine PFun.mem_fix_iff.2 (Or.inl ?_)
rw [h₂]
apply Part.mem_some
· refine PFun.mem_fix_iff.2 (Or.inr ⟨_, ?_, IH⟩)
rw [h]
apply Part.mem_some
#align turing.mem_eval Turing.mem_eval
theorem eval_maximal₁ {σ} {f : σ → Option σ} {a b} (h : b ∈ eval f a) (c) : ¬Reaches₁ f b c
| bc => by
let ⟨_, b0⟩ := mem_eval.1 h
let ⟨b', h', _⟩ := TransGen.head'_iff.1 bc
cases b0.symm.trans h'
#align turing.eval_maximal₁ Turing.eval_maximal₁
theorem eval_maximal {σ} {f : σ → Option σ} {a b} (h : b ∈ eval f a) {c} : Reaches f b c ↔ c = b :=
let ⟨_, b0⟩ := mem_eval.1 h
reflTransGen_iff_eq fun b' h' ↦ by cases b0.symm.trans h'
#align turing.eval_maximal Turing.eval_maximal
theorem reaches_eval {σ} {f : σ → Option σ} {a b} (ab : Reaches f a b) : eval f a = eval f b := by
refine Part.ext fun _ ↦ ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· have ⟨ac, c0⟩ := mem_eval.1 h
exact mem_eval.2 ⟨(or_iff_left_of_imp fun cb ↦ (eval_maximal h).1 cb ▸ ReflTransGen.refl).1
(reaches_total ab ac), c0⟩
· have ⟨bc, c0⟩ := mem_eval.1 h
exact mem_eval.2 ⟨ab.trans bc, c0⟩
#align turing.reaches_eval Turing.reaches_eval
def Respects {σ₁ σ₂} (f₁ : σ₁ → Option σ₁) (f₂ : σ₂ → Option σ₂) (tr : σ₁ → σ₂ → Prop) :=
∀ ⦃a₁ a₂⦄, tr a₁ a₂ → (match f₁ a₁ with
| some b₁ => ∃ b₂, tr b₁ b₂ ∧ Reaches₁ f₂ a₂ b₂
| none => f₂ a₂ = none : Prop)
#align turing.respects Turing.Respects
theorem tr_reaches₁ {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop} (H : Respects f₁ f₂ tr) {a₁ a₂}
(aa : tr a₁ a₂) {b₁} (ab : Reaches₁ f₁ a₁ b₁) : ∃ b₂, tr b₁ b₂ ∧ Reaches₁ f₂ a₂ b₂ := by
induction' ab with c₁ ac c₁ d₁ _ cd IH
· have := H aa
rwa [show f₁ a₁ = _ from ac] at this
· rcases IH with ⟨c₂, cc, ac₂⟩
have := H cc
rw [show f₁ c₁ = _ from cd] at this
rcases this with ⟨d₂, dd, cd₂⟩
exact ⟨_, dd, ac₂.trans cd₂⟩
#align turing.tr_reaches₁ Turing.tr_reaches₁
theorem tr_reaches {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop} (H : Respects f₁ f₂ tr) {a₁ a₂}
(aa : tr a₁ a₂) {b₁} (ab : Reaches f₁ a₁ b₁) : ∃ b₂, tr b₁ b₂ ∧ Reaches f₂ a₂ b₂ := by
rcases reflTransGen_iff_eq_or_transGen.1 ab with (rfl | ab)
· exact ⟨_, aa, ReflTransGen.refl⟩
· have ⟨b₂, bb, h⟩ := tr_reaches₁ H aa ab
exact ⟨b₂, bb, h.to_reflTransGen⟩
#align turing.tr_reaches Turing.tr_reaches
theorem tr_reaches_rev {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop} (H : Respects f₁ f₂ tr) {a₁ a₂}
(aa : tr a₁ a₂) {b₂} (ab : Reaches f₂ a₂ b₂) :
∃ c₁ c₂, Reaches f₂ b₂ c₂ ∧ tr c₁ c₂ ∧ Reaches f₁ a₁ c₁ := by
induction' ab with c₂ d₂ _ cd IH
· exact ⟨_, _, ReflTransGen.refl, aa, ReflTransGen.refl⟩
· rcases IH with ⟨e₁, e₂, ce, ee, ae⟩
rcases ReflTransGen.cases_head ce with (rfl | ⟨d', cd', de⟩)
· have := H ee
revert this
cases' eg : f₁ e₁ with g₁ <;> simp only [Respects, and_imp, exists_imp]
· intro c0
cases cd.symm.trans c0
· intro g₂ gg cg
rcases TransGen.head'_iff.1 cg with ⟨d', cd', dg⟩
cases Option.mem_unique cd cd'
exact ⟨_, _, dg, gg, ae.tail eg⟩
· cases Option.mem_unique cd cd'
exact ⟨_, _, de, ee, ae⟩
#align turing.tr_reaches_rev Turing.tr_reaches_rev
theorem tr_eval {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop} (H : Respects f₁ f₂ tr) {a₁ b₁ a₂}
(aa : tr a₁ a₂) (ab : b₁ ∈ eval f₁ a₁) : ∃ b₂, tr b₁ b₂ ∧ b₂ ∈ eval f₂ a₂ := by
cases' mem_eval.1 ab with ab b0
rcases tr_reaches H aa ab with ⟨b₂, bb, ab⟩
refine ⟨_, bb, mem_eval.2 ⟨ab, ?_⟩⟩
have := H bb; rwa [b0] at this
#align turing.tr_eval Turing.tr_eval
theorem tr_eval_rev {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop} (H : Respects f₁ f₂ tr) {a₁ b₂ a₂}
(aa : tr a₁ a₂) (ab : b₂ ∈ eval f₂ a₂) : ∃ b₁, tr b₁ b₂ ∧ b₁ ∈ eval f₁ a₁ := by
cases' mem_eval.1 ab with ab b0
rcases tr_reaches_rev H aa ab with ⟨c₁, c₂, bc, cc, ac⟩
cases (reflTransGen_iff_eq (Option.eq_none_iff_forall_not_mem.1 b0)).1 bc
refine ⟨_, cc, mem_eval.2 ⟨ac, ?_⟩⟩
have := H cc
cases' hfc : f₁ c₁ with d₁
· rfl
rw [hfc] at this
rcases this with ⟨d₂, _, bd⟩
rcases TransGen.head'_iff.1 bd with ⟨e, h, _⟩
cases b0.symm.trans h
#align turing.tr_eval_rev Turing.tr_eval_rev
theorem tr_eval_dom {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop} (H : Respects f₁ f₂ tr) {a₁ a₂}
(aa : tr a₁ a₂) : (eval f₂ a₂).Dom ↔ (eval f₁ a₁).Dom :=
⟨fun h ↦
let ⟨_, _, h, _⟩ := tr_eval_rev H aa ⟨h, rfl⟩
h,
fun h ↦
let ⟨_, _, h, _⟩ := tr_eval H aa ⟨h, rfl⟩
h⟩
#align turing.tr_eval_dom Turing.tr_eval_dom
def FRespects {σ₁ σ₂} (f₂ : σ₂ → Option σ₂) (tr : σ₁ → σ₂) (a₂ : σ₂) : Option σ₁ → Prop
| some b₁ => Reaches₁ f₂ a₂ (tr b₁)
| none => f₂ a₂ = none
#align turing.frespects Turing.FRespects
theorem frespects_eq {σ₁ σ₂} {f₂ : σ₂ → Option σ₂} {tr : σ₁ → σ₂} {a₂ b₂} (h : f₂ a₂ = f₂ b₂) :
∀ {b₁}, FRespects f₂ tr a₂ b₁ ↔ FRespects f₂ tr b₂ b₁
| some b₁ => reaches₁_eq h
| none => by unfold FRespects; rw [h]
#align turing.frespects_eq Turing.frespects_eq
theorem fun_respects {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂} :
(Respects f₁ f₂ fun a b ↦ tr a = b) ↔ ∀ ⦃a₁⦄, FRespects f₂ tr (tr a₁) (f₁ a₁) :=
forall_congr' fun a₁ ↦ by
cases f₁ a₁ <;> simp only [FRespects, Respects, exists_eq_left', forall_eq']
#align turing.fun_respects Turing.fun_respects
theorem tr_eval' {σ₁ σ₂} (f₁ : σ₁ → Option σ₁) (f₂ : σ₂ → Option σ₂) (tr : σ₁ → σ₂)
(H : Respects f₁ f₂ fun a b ↦ tr a = b) (a₁) : eval f₂ (tr a₁) = tr <$> eval f₁ a₁ :=
Part.ext fun b₂ ↦
⟨fun h ↦
let ⟨b₁, bb, hb⟩ := tr_eval_rev H rfl h
(Part.mem_map_iff _).2 ⟨b₁, hb, bb⟩,
fun h ↦ by
rcases (Part.mem_map_iff _).1 h with ⟨b₁, ab, bb⟩
rcases tr_eval H rfl ab with ⟨_, rfl, h⟩
rwa [bb] at h⟩
#align turing.tr_eval' Turing.tr_eval'
namespace TM1
set_option linter.uppercaseLean3 false -- for "TM1"
section
variable (Γ : Type*) [Inhabited Γ]
-- Type of tape symbols
variable (Λ : Type*)
-- Type of function labels
variable (σ : Type*)
-- Type of variable settings
inductive Stmt
| move : Dir → Stmt → Stmt
| write : (Γ → σ → Γ) → Stmt → Stmt
| load : (Γ → σ → σ) → Stmt → Stmt
| branch : (Γ → σ → Bool) → Stmt → Stmt → Stmt
| goto : (Γ → σ → Λ) → Stmt
| halt : Stmt
#align turing.TM1.stmt Turing.TM1.Stmt
local notation "Stmt₁" => Stmt Γ Λ σ -- Porting note (#10750): added this to clean up types.
open Stmt
instance Stmt.inhabited : Inhabited Stmt₁ :=
⟨halt⟩
#align turing.TM1.stmt.inhabited Turing.TM1.Stmt.inhabited
structure Cfg where
l : Option Λ
var : σ
Tape : Tape Γ
#align turing.TM1.cfg Turing.TM1.Cfg
local notation "Cfg₁" => Cfg Γ Λ σ -- Porting note (#10750): added this to clean up types.
instance Cfg.inhabited [Inhabited σ] : Inhabited Cfg₁ :=
⟨⟨default, default, default⟩⟩
#align turing.TM1.cfg.inhabited Turing.TM1.Cfg.inhabited
variable {Γ Λ σ}
def stepAux : Stmt₁ → σ → Tape Γ → Cfg₁
| move d q, v, T => stepAux q v (T.move d)
| write a q, v, T => stepAux q v (T.write (a T.1 v))
| load s q, v, T => stepAux q (s T.1 v) T
| branch p q₁ q₂, v, T => cond (p T.1 v) (stepAux q₁ v T) (stepAux q₂ v T)
| goto l, v, T => ⟨some (l T.1 v), v, T⟩
| halt, v, T => ⟨none, v, T⟩
#align turing.TM1.step_aux Turing.TM1.stepAux
def step (M : Λ → Stmt₁) : Cfg₁ → Option Cfg₁
| ⟨none, _, _⟩ => none
| ⟨some l, v, T⟩ => some (stepAux (M l) v T)
#align turing.TM1.step Turing.TM1.step
def SupportsStmt (S : Finset Λ) : Stmt₁ → Prop
| move _ q => SupportsStmt S q
| write _ q => SupportsStmt S q
| load _ q => SupportsStmt S q
| branch _ q₁ q₂ => SupportsStmt S q₁ ∧ SupportsStmt S q₂
| goto l => ∀ a v, l a v ∈ S
| halt => True
#align turing.TM1.supports_stmt Turing.TM1.SupportsStmt
open scoped Classical
noncomputable def stmts₁ : Stmt₁ → Finset Stmt₁
| Q@(move _ q) => insert Q (stmts₁ q)
| Q@(write _ q) => insert Q (stmts₁ q)
| Q@(load _ q) => insert Q (stmts₁ q)
| Q@(branch _ q₁ q₂) => insert Q (stmts₁ q₁ ∪ stmts₁ q₂)
| Q => {Q}
#align turing.TM1.stmts₁ Turing.TM1.stmts₁
theorem stmts₁_self {q : Stmt₁} : q ∈ stmts₁ q := by
cases q <;> simp only [stmts₁, Finset.mem_insert_self, Finset.mem_singleton_self]
#align turing.TM1.stmts₁_self Turing.TM1.stmts₁_self
| Mathlib/Computability/TuringMachine.lean | 1,328 | 1,344 | theorem stmts₁_trans {q₁ q₂ : Stmt₁} : q₁ ∈ stmts₁ q₂ → stmts₁ q₁ ⊆ stmts₁ q₂ := by |
intro h₁₂ q₀ h₀₁
induction q₂ with (
simp only [stmts₁] at h₁₂ ⊢
simp only [Finset.mem_insert, Finset.mem_union, Finset.mem_singleton] at h₁₂)
| branch p q₁ q₂ IH₁ IH₂ =>
rcases h₁₂ with (rfl | h₁₂ | h₁₂)
· unfold stmts₁ at h₀₁
exact h₀₁
· exact Finset.mem_insert_of_mem (Finset.mem_union_left _ <| IH₁ h₁₂)
· exact Finset.mem_insert_of_mem (Finset.mem_union_right _ <| IH₂ h₁₂)
| goto l => subst h₁₂; exact h₀₁
| halt => subst h₁₂; exact h₀₁
| _ _ q IH =>
rcases h₁₂ with rfl | h₁₂
· exact h₀₁
· exact Finset.mem_insert_of_mem (IH h₁₂)
|
import Mathlib.CategoryTheory.Adjunction.Basic
import Mathlib.CategoryTheory.Limits.Cones
#align_import category_theory.limits.is_limit from "leanprover-community/mathlib"@"740acc0e6f9adf4423f92a485d0456fc271482da"
noncomputable section
open CategoryTheory CategoryTheory.Category CategoryTheory.Functor Opposite
namespace CategoryTheory.Limits
-- declare the `v`'s first; see `CategoryTheory.Category` for an explanation
universe v₁ v₂ v₃ v₄ u₁ u₂ u₃ u₄
variable {J : Type u₁} [Category.{v₁} J] {K : Type u₂} [Category.{v₂} K]
variable {C : Type u₃} [Category.{v₃} C]
variable {F : J ⥤ C}
-- porting note (#5171): removed @[nolint has_nonempty_instance]
structure IsLimit (t : Cone F) where
lift : ∀ s : Cone F, s.pt ⟶ t.pt
fac : ∀ (s : Cone F) (j : J), lift s ≫ t.π.app j = s.π.app j := by aesop_cat
uniq : ∀ (s : Cone F) (m : s.pt ⟶ t.pt) (_ : ∀ j : J, m ≫ t.π.app j = s.π.app j), m = lift s := by
aesop_cat
#align category_theory.limits.is_limit CategoryTheory.Limits.IsLimit
#align category_theory.limits.is_limit.fac' CategoryTheory.Limits.IsLimit.fac
#align category_theory.limits.is_limit.uniq' CategoryTheory.Limits.IsLimit.uniq
-- Porting note (#10618): simp can prove this. Linter complains it still exists
attribute [-simp, nolint simpNF] IsLimit.mk.injEq
attribute [reassoc (attr := simp)] IsLimit.fac
namespace IsLimit
instance subsingleton {t : Cone F} : Subsingleton (IsLimit t) :=
⟨by intro P Q; cases P; cases Q; congr; aesop_cat⟩
#align category_theory.limits.is_limit.subsingleton CategoryTheory.Limits.IsLimit.subsingleton
def map {F G : J ⥤ C} (s : Cone F) {t : Cone G} (P : IsLimit t) (α : F ⟶ G) : s.pt ⟶ t.pt :=
P.lift ((Cones.postcompose α).obj s)
#align category_theory.limits.is_limit.map CategoryTheory.Limits.IsLimit.map
@[reassoc (attr := simp)]
theorem map_π {F G : J ⥤ C} (c : Cone F) {d : Cone G} (hd : IsLimit d) (α : F ⟶ G) (j : J) :
hd.map c α ≫ d.π.app j = c.π.app j ≫ α.app j :=
fac _ _ _
#align category_theory.limits.is_limit.map_π CategoryTheory.Limits.IsLimit.map_π
@[simp]
theorem lift_self {c : Cone F} (t : IsLimit c) : t.lift c = 𝟙 c.pt :=
(t.uniq _ _ fun _ => id_comp _).symm
#align category_theory.limits.is_limit.lift_self CategoryTheory.Limits.IsLimit.lift_self
-- Repackaging the definition in terms of cone morphisms.
@[simps]
def liftConeMorphism {t : Cone F} (h : IsLimit t) (s : Cone F) : s ⟶ t where hom := h.lift s
#align category_theory.limits.is_limit.lift_cone_morphism CategoryTheory.Limits.IsLimit.liftConeMorphism
theorem uniq_cone_morphism {s t : Cone F} (h : IsLimit t) {f f' : s ⟶ t} : f = f' :=
have : ∀ {g : s ⟶ t}, g = h.liftConeMorphism s := by
intro g; apply ConeMorphism.ext; exact h.uniq _ _ g.w
this.trans this.symm
#align category_theory.limits.is_limit.uniq_cone_morphism CategoryTheory.Limits.IsLimit.uniq_cone_morphism
theorem existsUnique {t : Cone F} (h : IsLimit t) (s : Cone F) :
∃! l : s.pt ⟶ t.pt, ∀ j, l ≫ t.π.app j = s.π.app j :=
⟨h.lift s, h.fac s, h.uniq s⟩
#align category_theory.limits.is_limit.exists_unique CategoryTheory.Limits.IsLimit.existsUnique
def ofExistsUnique {t : Cone F}
(ht : ∀ s : Cone F, ∃! l : s.pt ⟶ t.pt, ∀ j, l ≫ t.π.app j = s.π.app j) : IsLimit t := by
choose s hs hs' using ht
exact ⟨s, hs, hs'⟩
#align category_theory.limits.is_limit.of_exists_unique CategoryTheory.Limits.IsLimit.ofExistsUnique
@[simps]
def mkConeMorphism {t : Cone F} (lift : ∀ s : Cone F, s ⟶ t)
(uniq : ∀ (s : Cone F) (m : s ⟶ t), m = lift s) : IsLimit t where
lift s := (lift s).hom
uniq s m w :=
have : ConeMorphism.mk m w = lift s := by apply uniq
congrArg ConeMorphism.hom this
#align category_theory.limits.is_limit.mk_cone_morphism CategoryTheory.Limits.IsLimit.mkConeMorphism
@[simps]
def uniqueUpToIso {s t : Cone F} (P : IsLimit s) (Q : IsLimit t) : s ≅ t where
hom := Q.liftConeMorphism s
inv := P.liftConeMorphism t
hom_inv_id := P.uniq_cone_morphism
inv_hom_id := Q.uniq_cone_morphism
#align category_theory.limits.is_limit.unique_up_to_iso CategoryTheory.Limits.IsLimit.uniqueUpToIso
theorem hom_isIso {s t : Cone F} (P : IsLimit s) (Q : IsLimit t) (f : s ⟶ t) : IsIso f :=
⟨⟨P.liftConeMorphism t, ⟨P.uniq_cone_morphism, Q.uniq_cone_morphism⟩⟩⟩
#align category_theory.limits.is_limit.hom_is_iso CategoryTheory.Limits.IsLimit.hom_isIso
def conePointUniqueUpToIso {s t : Cone F} (P : IsLimit s) (Q : IsLimit t) : s.pt ≅ t.pt :=
(Cones.forget F).mapIso (uniqueUpToIso P Q)
#align category_theory.limits.is_limit.cone_point_unique_up_to_iso CategoryTheory.Limits.IsLimit.conePointUniqueUpToIso
@[reassoc (attr := simp)]
theorem conePointUniqueUpToIso_hom_comp {s t : Cone F} (P : IsLimit s) (Q : IsLimit t) (j : J) :
(conePointUniqueUpToIso P Q).hom ≫ t.π.app j = s.π.app j :=
(uniqueUpToIso P Q).hom.w _
#align category_theory.limits.is_limit.cone_point_unique_up_to_iso_hom_comp CategoryTheory.Limits.IsLimit.conePointUniqueUpToIso_hom_comp
@[reassoc (attr := simp)]
theorem conePointUniqueUpToIso_inv_comp {s t : Cone F} (P : IsLimit s) (Q : IsLimit t) (j : J) :
(conePointUniqueUpToIso P Q).inv ≫ s.π.app j = t.π.app j :=
(uniqueUpToIso P Q).inv.w _
#align category_theory.limits.is_limit.cone_point_unique_up_to_iso_inv_comp CategoryTheory.Limits.IsLimit.conePointUniqueUpToIso_inv_comp
@[reassoc (attr := simp)]
theorem lift_comp_conePointUniqueUpToIso_hom {r s t : Cone F} (P : IsLimit s) (Q : IsLimit t) :
P.lift r ≫ (conePointUniqueUpToIso P Q).hom = Q.lift r :=
Q.uniq _ _ (by simp)
#align category_theory.limits.is_limit.lift_comp_cone_point_unique_up_to_iso_hom CategoryTheory.Limits.IsLimit.lift_comp_conePointUniqueUpToIso_hom
@[reassoc (attr := simp)]
theorem lift_comp_conePointUniqueUpToIso_inv {r s t : Cone F} (P : IsLimit s) (Q : IsLimit t) :
Q.lift r ≫ (conePointUniqueUpToIso P Q).inv = P.lift r :=
P.uniq _ _ (by simp)
#align category_theory.limits.is_limit.lift_comp_cone_point_unique_up_to_iso_inv CategoryTheory.Limits.IsLimit.lift_comp_conePointUniqueUpToIso_inv
def ofIsoLimit {r t : Cone F} (P : IsLimit r) (i : r ≅ t) : IsLimit t :=
IsLimit.mkConeMorphism (fun s => P.liftConeMorphism s ≫ i.hom) fun s m => by
rw [← i.comp_inv_eq]; apply P.uniq_cone_morphism
#align category_theory.limits.is_limit.of_iso_limit CategoryTheory.Limits.IsLimit.ofIsoLimit
@[simp]
theorem ofIsoLimit_lift {r t : Cone F} (P : IsLimit r) (i : r ≅ t) (s) :
(P.ofIsoLimit i).lift s = P.lift s ≫ i.hom.hom :=
rfl
#align category_theory.limits.is_limit.of_iso_limit_lift CategoryTheory.Limits.IsLimit.ofIsoLimit_lift
def equivIsoLimit {r t : Cone F} (i : r ≅ t) : IsLimit r ≃ IsLimit t where
toFun h := h.ofIsoLimit i
invFun h := h.ofIsoLimit i.symm
left_inv := by aesop_cat
right_inv := by aesop_cat
#align category_theory.limits.is_limit.equiv_iso_limit CategoryTheory.Limits.IsLimit.equivIsoLimit
@[simp]
theorem equivIsoLimit_apply {r t : Cone F} (i : r ≅ t) (P : IsLimit r) :
equivIsoLimit i P = P.ofIsoLimit i :=
rfl
#align category_theory.limits.is_limit.equiv_iso_limit_apply CategoryTheory.Limits.IsLimit.equivIsoLimit_apply
@[simp]
theorem equivIsoLimit_symm_apply {r t : Cone F} (i : r ≅ t) (P : IsLimit t) :
(equivIsoLimit i).symm P = P.ofIsoLimit i.symm :=
rfl
#align category_theory.limits.is_limit.equiv_iso_limit_symm_apply CategoryTheory.Limits.IsLimit.equivIsoLimit_symm_apply
def ofPointIso {r t : Cone F} (P : IsLimit r) [i : IsIso (P.lift t)] : IsLimit t :=
ofIsoLimit P (by
haveI : IsIso (P.liftConeMorphism t).hom := i
haveI : IsIso (P.liftConeMorphism t) := Cones.cone_iso_of_hom_iso _
symm
apply asIso (P.liftConeMorphism t))
#align category_theory.limits.is_limit.of_point_iso CategoryTheory.Limits.IsLimit.ofPointIso
variable {t : Cone F}
theorem hom_lift (h : IsLimit t) {W : C} (m : W ⟶ t.pt) :
m = h.lift { pt := W, π := { app := fun b => m ≫ t.π.app b } } :=
h.uniq { pt := W, π := { app := fun b => m ≫ t.π.app b } } m fun b => rfl
#align category_theory.limits.is_limit.hom_lift CategoryTheory.Limits.IsLimit.hom_lift
| Mathlib/CategoryTheory/Limits/IsLimit.lean | 228 | 231 | theorem hom_ext (h : IsLimit t) {W : C} {f f' : W ⟶ t.pt}
(w : ∀ j, f ≫ t.π.app j = f' ≫ t.π.app j) :
f = f' := by |
rw [h.hom_lift f, h.hom_lift f']; congr; exact funext w
|
import Mathlib.Algebra.Regular.Basic
import Mathlib.GroupTheory.GroupAction.Hom
#align_import algebra.regular.smul from "leanprover-community/mathlib"@"550b58538991c8977703fdeb7c9d51a5aa27df11"
variable {R S : Type*} (M : Type*) {a b : R} {s : S}
def IsSMulRegular [SMul R M] (c : R) :=
Function.Injective ((c • ·) : M → M)
#align is_smul_regular IsSMulRegular
theorem IsLeftRegular.isSMulRegular [Mul R] {c : R} (h : IsLeftRegular c) : IsSMulRegular R c :=
h
#align is_left_regular.is_smul_regular IsLeftRegular.isSMulRegular
theorem isLeftRegular_iff [Mul R] {a : R} : IsLeftRegular a ↔ IsSMulRegular R a :=
Iff.rfl
#align is_left_regular_iff isLeftRegular_iff
theorem IsRightRegular.isSMulRegular [Mul R] {c : R} (h : IsRightRegular c) :
IsSMulRegular R (MulOpposite.op c) :=
h
#align is_right_regular.is_smul_regular IsRightRegular.isSMulRegular
theorem isRightRegular_iff [Mul R] {a : R} :
IsRightRegular a ↔ IsSMulRegular R (MulOpposite.op a) :=
Iff.rfl
#align is_right_regular_iff isRightRegular_iff
namespace IsSMulRegular
variable {M}
section Group
variable {G : Type*} [Group G]
| Mathlib/Algebra/Regular/SMul.lean | 240 | 242 | theorem isSMulRegular_of_group [MulAction G R] (g : G) : IsSMulRegular R g := by |
intro x y h
convert congr_arg (g⁻¹ • ·) h using 1 <;> simp [← smul_assoc]
|
import Mathlib.CategoryTheory.Bicategory.Basic
import Mathlib.CategoryTheory.Monoidal.Mon_
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Equalizers
#align_import category_theory.monoidal.Bimod from "leanprover-community/mathlib"@"4698e35ca56a0d4fa53aa5639c3364e0a77f4eba"
universe v₁ v₂ u₁ u₂
open CategoryTheory
open CategoryTheory.MonoidalCategory
variable {C : Type u₁} [Category.{v₁} C] [MonoidalCategory.{v₁} C]
section
open CategoryTheory.Limits
variable [HasCoequalizers C]
section
variable [∀ X : C, PreservesColimitsOfSize.{0, 0} (tensorLeft X)]
theorem id_tensor_π_preserves_coequalizer_inv_desc {W X Y Z : C} (f g : X ⟶ Y) (h : Z ⊗ Y ⟶ W)
(wh : (Z ◁ f) ≫ h = (Z ◁ g) ≫ h) :
(Z ◁ coequalizer.π f g) ≫
(PreservesCoequalizer.iso (tensorLeft Z) f g).inv ≫ coequalizer.desc h wh =
h :=
map_π_preserves_coequalizer_inv_desc (tensorLeft Z) f g h wh
#align id_tensor_π_preserves_coequalizer_inv_desc id_tensor_π_preserves_coequalizer_inv_desc
theorem id_tensor_π_preserves_coequalizer_inv_colimMap_desc {X Y Z X' Y' Z' : C} (f g : X ⟶ Y)
(f' g' : X' ⟶ Y') (p : Z ⊗ X ⟶ X') (q : Z ⊗ Y ⟶ Y') (wf : (Z ◁ f) ≫ q = p ≫ f')
(wg : (Z ◁ g) ≫ q = p ≫ g') (h : Y' ⟶ Z') (wh : f' ≫ h = g' ≫ h) :
(Z ◁ coequalizer.π f g) ≫
(PreservesCoequalizer.iso (tensorLeft Z) f g).inv ≫
colimMap (parallelPairHom (Z ◁ f) (Z ◁ g) f' g' p q wf wg) ≫ coequalizer.desc h wh =
q ≫ h :=
map_π_preserves_coequalizer_inv_colimMap_desc (tensorLeft Z) f g f' g' p q wf wg h wh
#align id_tensor_π_preserves_coequalizer_inv_colim_map_desc id_tensor_π_preserves_coequalizer_inv_colimMap_desc
end
section
variable [∀ X : C, PreservesColimitsOfSize.{0, 0} (tensorRight X)]
theorem π_tensor_id_preserves_coequalizer_inv_desc {W X Y Z : C} (f g : X ⟶ Y) (h : Y ⊗ Z ⟶ W)
(wh : (f ▷ Z) ≫ h = (g ▷ Z) ≫ h) :
(coequalizer.π f g ▷ Z) ≫
(PreservesCoequalizer.iso (tensorRight Z) f g).inv ≫ coequalizer.desc h wh =
h :=
map_π_preserves_coequalizer_inv_desc (tensorRight Z) f g h wh
#align π_tensor_id_preserves_coequalizer_inv_desc π_tensor_id_preserves_coequalizer_inv_desc
theorem π_tensor_id_preserves_coequalizer_inv_colimMap_desc {X Y Z X' Y' Z' : C} (f g : X ⟶ Y)
(f' g' : X' ⟶ Y') (p : X ⊗ Z ⟶ X') (q : Y ⊗ Z ⟶ Y') (wf : (f ▷ Z) ≫ q = p ≫ f')
(wg : (g ▷ Z) ≫ q = p ≫ g') (h : Y' ⟶ Z') (wh : f' ≫ h = g' ≫ h) :
(coequalizer.π f g ▷ Z) ≫
(PreservesCoequalizer.iso (tensorRight Z) f g).inv ≫
colimMap (parallelPairHom (f ▷ Z) (g ▷ Z) f' g' p q wf wg) ≫ coequalizer.desc h wh =
q ≫ h :=
map_π_preserves_coequalizer_inv_colimMap_desc (tensorRight Z) f g f' g' p q wf wg h wh
#align π_tensor_id_preserves_coequalizer_inv_colim_map_desc π_tensor_id_preserves_coequalizer_inv_colimMap_desc
end
end
structure Bimod (A B : Mon_ C) where
X : C
actLeft : A.X ⊗ X ⟶ X
one_actLeft : (A.one ▷ X) ≫ actLeft = (λ_ X).hom := by aesop_cat
left_assoc :
(A.mul ▷ X) ≫ actLeft = (α_ A.X A.X X).hom ≫ (A.X ◁ actLeft) ≫ actLeft := by aesop_cat
actRight : X ⊗ B.X ⟶ X
actRight_one : (X ◁ B.one) ≫ actRight = (ρ_ X).hom := by aesop_cat
right_assoc :
(X ◁ B.mul) ≫ actRight = (α_ X B.X B.X).inv ≫ (actRight ▷ B.X) ≫ actRight := by
aesop_cat
middle_assoc :
(actLeft ▷ B.X) ≫ actRight = (α_ A.X X B.X).hom ≫ (A.X ◁ actRight) ≫ actLeft := by
aesop_cat
set_option linter.uppercaseLean3 false in
#align Bimod Bimod
attribute [reassoc (attr := simp)] Bimod.one_actLeft Bimod.actRight_one Bimod.left_assoc
Bimod.right_assoc Bimod.middle_assoc
namespace Bimod
variable {A B : Mon_ C} (M : Bimod A B)
@[ext]
structure Hom (M N : Bimod A B) where
hom : M.X ⟶ N.X
left_act_hom : M.actLeft ≫ hom = (A.X ◁ hom) ≫ N.actLeft := by aesop_cat
right_act_hom : M.actRight ≫ hom = (hom ▷ B.X) ≫ N.actRight := by aesop_cat
set_option linter.uppercaseLean3 false in
#align Bimod.hom Bimod.Hom
attribute [reassoc (attr := simp)] Hom.left_act_hom Hom.right_act_hom
@[simps]
def id' (M : Bimod A B) : Hom M M where hom := 𝟙 M.X
set_option linter.uppercaseLean3 false in
#align Bimod.id' Bimod.id'
instance homInhabited (M : Bimod A B) : Inhabited (Hom M M) :=
⟨id' M⟩
set_option linter.uppercaseLean3 false in
#align Bimod.hom_inhabited Bimod.homInhabited
@[simps]
def comp {M N O : Bimod A B} (f : Hom M N) (g : Hom N O) : Hom M O where hom := f.hom ≫ g.hom
set_option linter.uppercaseLean3 false in
#align Bimod.comp Bimod.comp
instance : Category (Bimod A B) where
Hom M N := Hom M N
id := id'
comp f g := comp f g
-- Porting note: added because `Hom.ext` is not triggered automatically
@[ext]
lemma hom_ext {M N : Bimod A B} (f g : M ⟶ N) (h : f.hom = g.hom) : f = g :=
Hom.ext _ _ h
@[simp]
theorem id_hom' (M : Bimod A B) : (𝟙 M : Hom M M).hom = 𝟙 M.X :=
rfl
set_option linter.uppercaseLean3 false in
#align Bimod.id_hom' Bimod.id_hom'
@[simp]
theorem comp_hom' {M N K : Bimod A B} (f : M ⟶ N) (g : N ⟶ K) :
(f ≫ g : Hom M K).hom = f.hom ≫ g.hom :=
rfl
set_option linter.uppercaseLean3 false in
#align Bimod.comp_hom' Bimod.comp_hom'
@[simps]
def isoOfIso {X Y : Mon_ C} {P Q : Bimod X Y} (f : P.X ≅ Q.X)
(f_left_act_hom : P.actLeft ≫ f.hom = (X.X ◁ f.hom) ≫ Q.actLeft)
(f_right_act_hom : P.actRight ≫ f.hom = (f.hom ▷ Y.X) ≫ Q.actRight) : P ≅ Q where
hom :=
{ hom := f.hom }
inv :=
{ hom := f.inv
left_act_hom := by
rw [← cancel_mono f.hom, Category.assoc, Category.assoc, Iso.inv_hom_id, Category.comp_id,
f_left_act_hom, ← Category.assoc, ← MonoidalCategory.whiskerLeft_comp, Iso.inv_hom_id,
MonoidalCategory.whiskerLeft_id, Category.id_comp]
right_act_hom := by
rw [← cancel_mono f.hom, Category.assoc, Category.assoc, Iso.inv_hom_id, Category.comp_id,
f_right_act_hom, ← Category.assoc, ← comp_whiskerRight, Iso.inv_hom_id,
MonoidalCategory.id_whiskerRight, Category.id_comp] }
hom_inv_id := by ext; dsimp; rw [Iso.hom_inv_id]
inv_hom_id := by ext; dsimp; rw [Iso.inv_hom_id]
set_option linter.uppercaseLean3 false in
#align Bimod.iso_of_iso Bimod.isoOfIso
variable (A)
@[simps]
def regular : Bimod A A where
X := A.X
actLeft := A.mul
actRight := A.mul
set_option linter.uppercaseLean3 false in
#align Bimod.regular Bimod.regular
instance : Inhabited (Bimod A A) :=
⟨regular A⟩
def forget : Bimod A B ⥤ C where
obj A := A.X
map f := f.hom
set_option linter.uppercaseLean3 false in
#align Bimod.forget Bimod.forget
open CategoryTheory.Limits
variable [HasCoequalizers C]
namespace TensorBimod
variable {R S T : Mon_ C} (P : Bimod R S) (Q : Bimod S T)
noncomputable def X : C :=
coequalizer (P.actRight ▷ Q.X) ((α_ _ _ _).hom ≫ (P.X ◁ Q.actLeft))
set_option linter.uppercaseLean3 false in
#align Bimod.tensor_Bimod.X Bimod.TensorBimod.X
section
variable [∀ X : C, PreservesColimitsOfSize.{0, 0} (tensorLeft X)]
noncomputable def actLeft : R.X ⊗ X P Q ⟶ X P Q :=
(PreservesCoequalizer.iso (tensorLeft R.X) _ _).inv ≫
colimMap
(parallelPairHom _ _ _ _
((α_ _ _ _).inv ≫ ((α_ _ _ _).inv ▷ _) ≫ (P.actLeft ▷ S.X ▷ Q.X))
((α_ _ _ _).inv ≫ (P.actLeft ▷ Q.X))
(by
dsimp
simp only [Category.assoc]
slice_lhs 1 2 => rw [associator_inv_naturality_middle]
slice_rhs 3 4 => rw [← comp_whiskerRight, middle_assoc, comp_whiskerRight]
coherence)
(by
dsimp
slice_lhs 1 1 => rw [MonoidalCategory.whiskerLeft_comp]
slice_lhs 2 3 => rw [associator_inv_naturality_right]
slice_lhs 3 4 => rw [whisker_exchange]
coherence))
set_option linter.uppercaseLean3 false in
#align Bimod.tensor_Bimod.act_left Bimod.TensorBimod.actLeft
theorem whiskerLeft_π_actLeft :
(R.X ◁ coequalizer.π _ _) ≫ actLeft P Q =
(α_ _ _ _).inv ≫ (P.actLeft ▷ Q.X) ≫ coequalizer.π _ _ := by
erw [map_π_preserves_coequalizer_inv_colimMap (tensorLeft _)]
simp only [Category.assoc]
set_option linter.uppercaseLean3 false in
#align Bimod.tensor_Bimod.id_tensor_π_act_left Bimod.TensorBimod.whiskerLeft_π_actLeft
theorem one_act_left' : (R.one ▷ _) ≫ actLeft P Q = (λ_ _).hom := by
refine (cancel_epi ((tensorLeft _).map (coequalizer.π _ _))).1 ?_
dsimp [X]
-- Porting note: had to replace `rw` by `erw`
slice_lhs 1 2 => erw [whisker_exchange]
slice_lhs 2 3 => rw [whiskerLeft_π_actLeft]
slice_lhs 1 2 => rw [associator_inv_naturality_left]
slice_lhs 2 3 => rw [← comp_whiskerRight, one_actLeft]
slice_rhs 1 2 => rw [leftUnitor_naturality]
coherence
set_option linter.uppercaseLean3 false in
#align Bimod.tensor_Bimod.one_act_left' Bimod.TensorBimod.one_act_left'
theorem left_assoc' :
(R.mul ▷ _) ≫ actLeft P Q = (α_ R.X R.X _).hom ≫ (R.X ◁ actLeft P Q) ≫ actLeft P Q := by
refine (cancel_epi ((tensorLeft _).map (coequalizer.π _ _))).1 ?_
dsimp [X]
slice_lhs 1 2 => rw [whisker_exchange]
slice_lhs 2 3 => rw [whiskerLeft_π_actLeft]
slice_lhs 1 2 => rw [associator_inv_naturality_left]
slice_lhs 2 3 => rw [← comp_whiskerRight, left_assoc, comp_whiskerRight, comp_whiskerRight]
slice_rhs 1 2 => rw [associator_naturality_right]
slice_rhs 2 3 =>
rw [← MonoidalCategory.whiskerLeft_comp, whiskerLeft_π_actLeft,
MonoidalCategory.whiskerLeft_comp, MonoidalCategory.whiskerLeft_comp]
slice_rhs 4 5 => rw [whiskerLeft_π_actLeft]
slice_rhs 3 4 => rw [associator_inv_naturality_middle]
coherence
set_option linter.uppercaseLean3 false in
#align Bimod.tensor_Bimod.left_assoc' Bimod.TensorBimod.left_assoc'
end
section
variable [∀ X : C, PreservesColimitsOfSize.{0, 0} (tensorRight X)]
noncomputable def actRight : X P Q ⊗ T.X ⟶ X P Q :=
(PreservesCoequalizer.iso (tensorRight T.X) _ _).inv ≫
colimMap
(parallelPairHom _ _ _ _
((α_ _ _ _).hom ≫ (α_ _ _ _).hom ≫ (P.X ◁ S.X ◁ Q.actRight) ≫ (α_ _ _ _).inv)
((α_ _ _ _).hom ≫ (P.X ◁ Q.actRight))
(by
dsimp
slice_lhs 1 2 => rw [associator_naturality_left]
slice_lhs 2 3 => rw [← whisker_exchange]
simp)
(by
dsimp
simp only [comp_whiskerRight, whisker_assoc, Category.assoc, Iso.inv_hom_id_assoc]
slice_lhs 3 4 =>
rw [← MonoidalCategory.whiskerLeft_comp, middle_assoc,
MonoidalCategory.whiskerLeft_comp]
simp))
set_option linter.uppercaseLean3 false in
#align Bimod.tensor_Bimod.act_right Bimod.TensorBimod.actRight
theorem π_tensor_id_actRight :
(coequalizer.π _ _ ▷ T.X) ≫ actRight P Q =
(α_ _ _ _).hom ≫ (P.X ◁ Q.actRight) ≫ coequalizer.π _ _ := by
erw [map_π_preserves_coequalizer_inv_colimMap (tensorRight _)]
simp only [Category.assoc]
set_option linter.uppercaseLean3 false in
#align Bimod.tensor_Bimod.π_tensor_id_act_right Bimod.TensorBimod.π_tensor_id_actRight
theorem actRight_one' : (_ ◁ T.one) ≫ actRight P Q = (ρ_ _).hom := by
refine (cancel_epi ((tensorRight _).map (coequalizer.π _ _))).1 ?_
dsimp [X]
-- Porting note: had to replace `rw` by `erw`
slice_lhs 1 2 =>erw [← whisker_exchange]
slice_lhs 2 3 => rw [π_tensor_id_actRight]
slice_lhs 1 2 => rw [associator_naturality_right]
slice_lhs 2 3 => rw [← MonoidalCategory.whiskerLeft_comp, actRight_one]
simp
set_option linter.uppercaseLean3 false in
#align Bimod.tensor_Bimod.act_right_one' Bimod.TensorBimod.actRight_one'
| Mathlib/CategoryTheory/Monoidal/Bimod.lean | 329 | 344 | theorem right_assoc' :
(_ ◁ T.mul) ≫ actRight P Q =
(α_ _ T.X T.X).inv ≫ (actRight P Q ▷ T.X) ≫ actRight P Q := by |
refine (cancel_epi ((tensorRight _).map (coequalizer.π _ _))).1 ?_
dsimp [X]
-- Porting note: had to replace some `rw` by `erw`
slice_lhs 1 2 => rw [← whisker_exchange]
slice_lhs 2 3 => rw [π_tensor_id_actRight]
slice_lhs 1 2 => rw [associator_naturality_right]
slice_lhs 2 3 => rw [← MonoidalCategory.whiskerLeft_comp, right_assoc,
MonoidalCategory.whiskerLeft_comp, MonoidalCategory.whiskerLeft_comp]
slice_rhs 1 2 => rw [associator_inv_naturality_left]
slice_rhs 2 3 => rw [← comp_whiskerRight, π_tensor_id_actRight, comp_whiskerRight,
comp_whiskerRight]
slice_rhs 4 5 => rw [π_tensor_id_actRight]
simp
|
import Mathlib.Algebra.EuclideanDomain.Basic
import Mathlib.RingTheory.PrincipalIdealDomain
import Mathlib.Algebra.GCDMonoid.Nat
#align_import ring_theory.int.basic from "leanprover-community/mathlib"@"e655e4ea5c6d02854696f97494997ba4c31be802"
theorem Int.Prime.dvd_mul {m n : ℤ} {p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ m * n) :
p ∣ m.natAbs ∨ p ∣ n.natAbs := by
rwa [← hp.dvd_mul, ← Int.natAbs_mul, ← Int.natCast_dvd]
#align int.prime.dvd_mul Int.Prime.dvd_mul
theorem Int.Prime.dvd_mul' {m n : ℤ} {p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ m * n) :
(p : ℤ) ∣ m ∨ (p : ℤ) ∣ n := by
rw [Int.natCast_dvd, Int.natCast_dvd]
exact Int.Prime.dvd_mul hp h
#align int.prime.dvd_mul' Int.Prime.dvd_mul'
theorem Int.Prime.dvd_pow {n : ℤ} {k p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ n ^ k) :
p ∣ n.natAbs := by
rw [Int.natCast_dvd, Int.natAbs_pow] at h
exact hp.dvd_of_dvd_pow h
#align int.prime.dvd_pow Int.Prime.dvd_pow
theorem Int.Prime.dvd_pow' {n : ℤ} {k p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ n ^ k) :
(p : ℤ) ∣ n := by
rw [Int.natCast_dvd]
exact Int.Prime.dvd_pow hp h
#align int.prime.dvd_pow' Int.Prime.dvd_pow'
theorem prime_two_or_dvd_of_dvd_two_mul_pow_self_two {m : ℤ} {p : ℕ} (hp : Nat.Prime p)
(h : (p : ℤ) ∣ 2 * m ^ 2) : p = 2 ∨ p ∣ Int.natAbs m := by
cases' Int.Prime.dvd_mul hp h with hp2 hpp
· apply Or.intro_left
exact le_antisymm (Nat.le_of_dvd zero_lt_two hp2) (Nat.Prime.two_le hp)
· apply Or.intro_right
rw [sq, Int.natAbs_mul] at hpp
exact or_self_iff.mp ((Nat.Prime.dvd_mul hp).mp hpp)
#align prime_two_or_dvd_of_dvd_two_mul_pow_self_two prime_two_or_dvd_of_dvd_two_mul_pow_self_two
theorem Int.exists_prime_and_dvd {n : ℤ} (hn : n.natAbs ≠ 1) : ∃ p, Prime p ∧ p ∣ n := by
obtain ⟨p, pp, pd⟩ := Nat.exists_prime_and_dvd hn
exact ⟨p, Nat.prime_iff_prime_int.mp pp, Int.natCast_dvd.mpr pd⟩
#align int.exists_prime_and_dvd Int.exists_prime_and_dvd
theorem Int.prime_iff_natAbs_prime {k : ℤ} : Prime k ↔ Nat.Prime k.natAbs :=
(Int.associated_natAbs k).prime_iff.trans Nat.prime_iff_prime_int.symm
#align int.prime_iff_nat_abs_prime Int.prime_iff_natAbs_prime
namespace Int
theorem zmultiples_natAbs (a : ℤ) :
AddSubgroup.zmultiples (a.natAbs : ℤ) = AddSubgroup.zmultiples a :=
le_antisymm (AddSubgroup.zmultiples_le_of_mem (mem_zmultiples_iff.mpr (dvd_natAbs.mpr dvd_rfl)))
(AddSubgroup.zmultiples_le_of_mem (mem_zmultiples_iff.mpr (natAbs_dvd.mpr dvd_rfl)))
#align int.zmultiples_nat_abs Int.zmultiples_natAbs
| Mathlib/RingTheory/Int/Basic.lean | 139 | 141 | theorem span_natAbs (a : ℤ) : Ideal.span ({(a.natAbs : ℤ)} : Set ℤ) = Ideal.span {a} := by |
rw [Ideal.span_singleton_eq_span_singleton]
exact (associated_natAbs _).symm
|
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
section deprecated
set_option linter.deprecated false
@[deprecated (since := "2023-02-11")]
theorem power_bit0 (a b : Cardinal) : a ^ bit0 b = a ^ b * a ^ b :=
power_add
#align cardinal.power_bit0 Cardinal.power_bit0
@[deprecated (since := "2023-02-11")]
| Mathlib/SetTheory/Cardinal/Basic.lean | 552 | 553 | theorem power_bit1 (a b : Cardinal) : a ^ bit1 b = a ^ b * a ^ b * a := by |
rw [bit1, ← power_bit0, power_add, power_one]
|
import Mathlib.Analysis.Calculus.MeanValue
import Mathlib.Analysis.NormedSpace.RCLike
import Mathlib.Order.Filter.Curry
#align_import analysis.calculus.uniform_limits_deriv from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b"
open Filter
open scoped uniformity Filter Topology
section LimitsOfDerivatives
variable {ι : Type*} {l : Filter ι} {E : Type*} [NormedAddCommGroup E] {𝕜 : Type*} [RCLike 𝕜]
[NormedSpace 𝕜 E] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] {f : ι → E → G}
{g : E → G} {f' : ι → E → E →L[𝕜] G} {g' : E → E →L[𝕜] G} {x : E}
theorem uniformCauchySeqOnFilter_of_fderiv (hf' : UniformCauchySeqOnFilter f' l (𝓝 x))
(hf : ∀ᶠ n : ι × E in l ×ˢ 𝓝 x, HasFDerivAt (f n.1) (f' n.1 n.2) n.2)
(hfg : Cauchy (map (fun n => f n x) l)) : UniformCauchySeqOnFilter f l (𝓝 x) := by
letI : NormedSpace ℝ E := NormedSpace.restrictScalars ℝ 𝕜 _
rw [SeminormedAddGroup.uniformCauchySeqOnFilter_iff_tendstoUniformlyOnFilter_zero] at hf' ⊢
suffices
TendstoUniformlyOnFilter (fun (n : ι × ι) (z : E) => f n.1 z - f n.2 z - (f n.1 x - f n.2 x)) 0
(l ×ˢ l) (𝓝 x) ∧
TendstoUniformlyOnFilter (fun (n : ι × ι) (_ : E) => f n.1 x - f n.2 x) 0 (l ×ˢ l) (𝓝 x) by
have := this.1.add this.2
rw [add_zero] at this
exact this.congr (by simp)
constructor
· -- This inequality follows from the mean value theorem. To apply it, we will need to shrink our
-- neighborhood to small enough ball
rw [Metric.tendstoUniformlyOnFilter_iff] at hf' ⊢
intro ε hε
have := (tendsto_swap4_prod.eventually (hf.prod_mk hf)).diag_of_prod_right
obtain ⟨a, b, c, d, e⟩ := eventually_prod_iff.1 ((hf' ε hε).and this)
obtain ⟨R, hR, hR'⟩ := Metric.nhds_basis_ball.eventually_iff.mp d
let r := min 1 R
have hr : 0 < r := by simp [r, hR]
have hr' : ∀ ⦃y : E⦄, y ∈ Metric.ball x r → c y := fun y hy =>
hR' (lt_of_lt_of_le (Metric.mem_ball.mp hy) (min_le_right _ _))
have hxy : ∀ y : E, y ∈ Metric.ball x r → ‖y - x‖ < 1 := by
intro y hy
rw [Metric.mem_ball, dist_eq_norm] at hy
exact lt_of_lt_of_le hy (min_le_left _ _)
have hxyε : ∀ y : E, y ∈ Metric.ball x r → ε * ‖y - x‖ < ε := by
intro y hy
exact (mul_lt_iff_lt_one_right hε.lt).mpr (hxy y hy)
-- With a small ball in hand, apply the mean value theorem
refine
eventually_prod_iff.mpr
⟨_, b, fun e : E => Metric.ball x r e,
eventually_mem_set.mpr (Metric.nhds_basis_ball.mem_of_mem hr), fun {n} hn {y} hy => ?_⟩
simp only [Pi.zero_apply, dist_zero_left] at e ⊢
refine lt_of_le_of_lt ?_ (hxyε y hy)
exact
Convex.norm_image_sub_le_of_norm_hasFDerivWithin_le
(fun y hy => ((e hn (hr' hy)).2.1.sub (e hn (hr' hy)).2.2).hasFDerivWithinAt)
(fun y hy => (e hn (hr' hy)).1.le) (convex_ball x r) (Metric.mem_ball_self hr) hy
· -- This is just `hfg` run through `eventually_prod_iff`
refine Metric.tendstoUniformlyOnFilter_iff.mpr fun ε hε => ?_
obtain ⟨t, ht, ht'⟩ := (Metric.cauchy_iff.mp hfg).2 ε hε
exact
eventually_prod_iff.mpr
⟨fun n : ι × ι => f n.1 x ∈ t ∧ f n.2 x ∈ t,
eventually_prod_iff.mpr ⟨_, ht, _, ht, fun {n} hn {n'} hn' => ⟨hn, hn'⟩⟩,
fun _ => True,
by simp,
fun {n} hn {y} _ => by simpa [norm_sub_rev, dist_eq_norm] using ht' _ hn.1 _ hn.2⟩
#align uniform_cauchy_seq_on_filter_of_fderiv uniformCauchySeqOnFilter_of_fderiv
theorem uniformCauchySeqOn_ball_of_fderiv {r : ℝ} (hf' : UniformCauchySeqOn f' l (Metric.ball x r))
(hf : ∀ n : ι, ∀ y : E, y ∈ Metric.ball x r → HasFDerivAt (f n) (f' n y) y)
(hfg : Cauchy (map (fun n => f n x) l)) : UniformCauchySeqOn f l (Metric.ball x r) := by
letI : NormedSpace ℝ E := NormedSpace.restrictScalars ℝ 𝕜 _
have : NeBot l := (cauchy_map_iff.1 hfg).1
rcases le_or_lt r 0 with (hr | hr)
· simp only [Metric.ball_eq_empty.2 hr, UniformCauchySeqOn, Set.mem_empty_iff_false,
IsEmpty.forall_iff, eventually_const, imp_true_iff]
rw [SeminormedAddGroup.uniformCauchySeqOn_iff_tendstoUniformlyOn_zero] at hf' ⊢
suffices
TendstoUniformlyOn (fun (n : ι × ι) (z : E) => f n.1 z - f n.2 z - (f n.1 x - f n.2 x)) 0
(l ×ˢ l) (Metric.ball x r) ∧
TendstoUniformlyOn (fun (n : ι × ι) (_ : E) => f n.1 x - f n.2 x) 0
(l ×ˢ l) (Metric.ball x r) by
have := this.1.add this.2
rw [add_zero] at this
refine this.congr ?_
filter_upwards with n z _ using (by simp)
constructor
· -- This inequality follows from the mean value theorem
rw [Metric.tendstoUniformlyOn_iff] at hf' ⊢
intro ε hε
obtain ⟨q, hqpos, hq⟩ : ∃ q : ℝ, 0 < q ∧ q * r < ε := by
simp_rw [mul_comm]
exact exists_pos_mul_lt hε.lt r
apply (hf' q hqpos.gt).mono
intro n hn y hy
simp_rw [dist_eq_norm, Pi.zero_apply, zero_sub, norm_neg] at hn ⊢
have mvt :=
Convex.norm_image_sub_le_of_norm_hasFDerivWithin_le
(fun z hz => ((hf n.1 z hz).sub (hf n.2 z hz)).hasFDerivWithinAt) (fun z hz => (hn z hz).le)
(convex_ball x r) (Metric.mem_ball_self hr) hy
refine lt_of_le_of_lt mvt ?_
have : q * ‖y - x‖ < q * r :=
mul_lt_mul' rfl.le (by simpa only [dist_eq_norm] using Metric.mem_ball.mp hy) (norm_nonneg _)
hqpos
exact this.trans hq
· -- This is just `hfg` run through `eventually_prod_iff`
refine Metric.tendstoUniformlyOn_iff.mpr fun ε hε => ?_
obtain ⟨t, ht, ht'⟩ := (Metric.cauchy_iff.mp hfg).2 ε hε
rw [eventually_prod_iff]
refine ⟨fun n => f n x ∈ t, ht, fun n => f n x ∈ t, ht, ?_⟩
intro n hn n' hn' z _
rw [dist_eq_norm, Pi.zero_apply, zero_sub, norm_neg, ← dist_eq_norm]
exact ht' _ hn _ hn'
#align uniform_cauchy_seq_on_ball_of_fderiv uniformCauchySeqOn_ball_of_fderiv
theorem cauchy_map_of_uniformCauchySeqOn_fderiv {s : Set E} (hs : IsOpen s) (h's : IsPreconnected s)
(hf' : UniformCauchySeqOn f' l s) (hf : ∀ n : ι, ∀ y : E, y ∈ s → HasFDerivAt (f n) (f' n y) y)
{x₀ x : E} (hx₀ : x₀ ∈ s) (hx : x ∈ s) (hfg : Cauchy (map (fun n => f n x₀) l)) :
Cauchy (map (fun n => f n x) l) := by
have : NeBot l := (cauchy_map_iff.1 hfg).1
let t := { y | y ∈ s ∧ Cauchy (map (fun n => f n y) l) }
suffices H : s ⊆ t from (H hx).2
have A : ∀ x ε, x ∈ t → Metric.ball x ε ⊆ s → Metric.ball x ε ⊆ t := fun x ε xt hx y hy =>
⟨hx hy,
(uniformCauchySeqOn_ball_of_fderiv (hf'.mono hx) (fun n y hy => hf n y (hx hy))
xt.2).cauchy_map
hy⟩
have open_t : IsOpen t := by
rw [Metric.isOpen_iff]
intro x hx
rcases Metric.isOpen_iff.1 hs x hx.1 with ⟨ε, εpos, hε⟩
exact ⟨ε, εpos, A x ε hx hε⟩
have st_nonempty : (s ∩ t).Nonempty := ⟨x₀, hx₀, ⟨hx₀, hfg⟩⟩
suffices H : closure t ∩ s ⊆ t from h's.subset_of_closure_inter_subset open_t st_nonempty H
rintro x ⟨xt, xs⟩
obtain ⟨ε, εpos, hε⟩ : ∃ (ε : ℝ), ε > 0 ∧ Metric.ball x ε ⊆ s := Metric.isOpen_iff.1 hs x xs
obtain ⟨y, yt, hxy⟩ : ∃ (y : E), y ∈ t ∧ dist x y < ε / 2 :=
Metric.mem_closure_iff.1 xt _ (half_pos εpos)
have B : Metric.ball y (ε / 2) ⊆ Metric.ball x ε := by
apply Metric.ball_subset_ball'; rw [dist_comm]; linarith
exact A y (ε / 2) yt (B.trans hε) (Metric.mem_ball.2 hxy)
#align cauchy_map_of_uniform_cauchy_seq_on_fderiv cauchy_map_of_uniformCauchySeqOn_fderiv
theorem difference_quotients_converge_uniformly (hf' : TendstoUniformlyOnFilter f' g' l (𝓝 x))
(hf : ∀ᶠ n : ι × E in l ×ˢ 𝓝 x, HasFDerivAt (f n.1) (f' n.1 n.2) n.2)
(hfg : ∀ᶠ y : E in 𝓝 x, Tendsto (fun n => f n y) l (𝓝 (g y))) :
TendstoUniformlyOnFilter (fun n : ι => fun y : E => (‖y - x‖⁻¹ : 𝕜) • (f n y - f n x))
(fun y : E => (‖y - x‖⁻¹ : 𝕜) • (g y - g x)) l (𝓝 x) := by
let A : NormedSpace ℝ E := NormedSpace.restrictScalars ℝ 𝕜 _
rcases eq_or_ne l ⊥ with (hl | hl)
· simp only [hl, TendstoUniformlyOnFilter, bot_prod, eventually_bot, imp_true_iff]
haveI : NeBot l := ⟨hl⟩
refine
UniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto ?_
((hfg.and (eventually_const.mpr hfg.self_of_nhds)).mono fun y hy =>
(hy.1.sub hy.2).const_smul _)
rw [SeminormedAddGroup.uniformCauchySeqOnFilter_iff_tendstoUniformlyOnFilter_zero]
rw [Metric.tendstoUniformlyOnFilter_iff]
have hfg' := hf'.uniformCauchySeqOnFilter
rw [SeminormedAddGroup.uniformCauchySeqOnFilter_iff_tendstoUniformlyOnFilter_zero] at hfg'
rw [Metric.tendstoUniformlyOnFilter_iff] at hfg'
intro ε hε
obtain ⟨q, hqpos, hqε⟩ := exists_pos_rat_lt hε
specialize hfg' (q : ℝ) (by simp [hqpos])
have := (tendsto_swap4_prod.eventually (hf.prod_mk hf)).diag_of_prod_right
obtain ⟨a, b, c, d, e⟩ := eventually_prod_iff.1 (hfg'.and this)
obtain ⟨r, hr, hr'⟩ := Metric.nhds_basis_ball.eventually_iff.mp d
rw [eventually_prod_iff]
refine
⟨_, b, fun e : E => Metric.ball x r e,
eventually_mem_set.mpr (Metric.nhds_basis_ball.mem_of_mem hr), fun {n} hn {y} hy => ?_⟩
simp only [Pi.zero_apply, dist_zero_left]
rw [← smul_sub, norm_smul, norm_inv, RCLike.norm_coe_norm]
refine lt_of_le_of_lt ?_ hqε
by_cases hyz' : x = y; · simp [hyz', hqpos.le]
have hyz : 0 < ‖y - x‖ := by rw [norm_pos_iff]; intro hy'; exact hyz' (eq_of_sub_eq_zero hy').symm
rw [inv_mul_le_iff hyz, mul_comm, sub_sub_sub_comm]
simp only [Pi.zero_apply, dist_zero_left] at e
refine
Convex.norm_image_sub_le_of_norm_hasFDerivWithin_le
(fun y hy => ((e hn (hr' hy)).2.1.sub (e hn (hr' hy)).2.2).hasFDerivWithinAt)
(fun y hy => (e hn (hr' hy)).1.le) (convex_ball x r) (Metric.mem_ball_self hr) hy
#align difference_quotients_converge_uniformly difference_quotients_converge_uniformly
theorem hasFDerivAt_of_tendstoUniformlyOnFilter [NeBot l]
(hf' : TendstoUniformlyOnFilter f' g' l (𝓝 x))
(hf : ∀ᶠ n : ι × E in l ×ˢ 𝓝 x, HasFDerivAt (f n.1) (f' n.1 n.2) n.2)
(hfg : ∀ᶠ y in 𝓝 x, Tendsto (fun n => f n y) l (𝓝 (g y))) : HasFDerivAt g (g' x) x := by
-- The proof strategy follows several steps:
-- 1. The quantifiers in the definition of the derivative are
-- `∀ ε > 0, ∃δ > 0, ∀y ∈ B_δ(x)`. We will introduce a quantifier in the middle:
-- `∀ ε > 0, ∃N, ∀n ≥ N, ∃δ > 0, ∀y ∈ B_δ(x)` which will allow us to introduce the `f(') n`
-- 2. The order of the quantifiers `hfg` are opposite to what we need. We will be able to swap
-- the quantifiers using the uniform convergence assumption
rw [hasFDerivAt_iff_tendsto]
-- Introduce extra quantifier via curried filters
suffices
Tendsto (fun y : ι × E => ‖y.2 - x‖⁻¹ * ‖g y.2 - g x - (g' x) (y.2 - x)‖)
(l.curry (𝓝 x)) (𝓝 0) by
rw [Metric.tendsto_nhds] at this ⊢
intro ε hε
specialize this ε hε
rw [eventually_curry_iff] at this
simp only at this
exact (eventually_const.mp this).mono (by simp only [imp_self, forall_const])
-- With the new quantifier in hand, we can perform the famous `ε/3` proof. Specifically,
-- we will break up the limit (the difference functions minus the derivative go to 0) into 3:
-- * The difference functions of the `f n` converge *uniformly* to the difference functions
-- of the `g n`
-- * The `f' n` are the derivatives of the `f n`
-- * The `f' n` converge to `g'` at `x`
conv =>
congr
ext
rw [← abs_norm, ← abs_inv, ← @RCLike.norm_ofReal 𝕜 _ _, RCLike.ofReal_inv, ← norm_smul]
rw [← tendsto_zero_iff_norm_tendsto_zero]
have :
(fun a : ι × E => (‖a.2 - x‖⁻¹ : 𝕜) • (g a.2 - g x - (g' x) (a.2 - x))) =
((fun a : ι × E => (‖a.2 - x‖⁻¹ : 𝕜) • (g a.2 - g x - (f a.1 a.2 - f a.1 x))) +
fun a : ι × E =>
(‖a.2 - x‖⁻¹ : 𝕜) • (f a.1 a.2 - f a.1 x - ((f' a.1 x) a.2 - (f' a.1 x) x))) +
fun a : ι × E => (‖a.2 - x‖⁻¹ : 𝕜) • (f' a.1 x - g' x) (a.2 - x) := by
ext; simp only [Pi.add_apply]; rw [← smul_add, ← smul_add]; congr
simp only [map_sub, sub_add_sub_cancel, ContinuousLinearMap.coe_sub', Pi.sub_apply]
-- Porting note: added
abel
simp_rw [this]
have : 𝓝 (0 : G) = 𝓝 (0 + 0 + 0) := by simp only [add_zero]
rw [this]
refine Tendsto.add (Tendsto.add ?_ ?_) ?_
· simp only
have := difference_quotients_converge_uniformly hf' hf hfg
rw [Metric.tendstoUniformlyOnFilter_iff] at this
rw [Metric.tendsto_nhds]
intro ε hε
apply ((this ε hε).filter_mono curry_le_prod).mono
intro n hn
rw [dist_eq_norm] at hn ⊢
rw [← smul_sub] at hn
rwa [sub_zero]
· -- (Almost) the definition of the derivatives
rw [Metric.tendsto_nhds]
intro ε hε
rw [eventually_curry_iff]
refine hf.curry.mono fun n hn => ?_
have := hn.self_of_nhds
rw [hasFDerivAt_iff_tendsto, Metric.tendsto_nhds] at this
refine (this ε hε).mono fun y hy => ?_
rw [dist_eq_norm] at hy ⊢
simp only [sub_zero, map_sub, norm_mul, norm_inv, norm_norm] at hy ⊢
rw [norm_smul, norm_inv, RCLike.norm_coe_norm]
exact hy
· -- hfg' after specializing to `x` and applying the definition of the operator norm
refine Tendsto.mono_left ?_ curry_le_prod
have h1 : Tendsto (fun n : ι × E => g' n.2 - f' n.1 n.2) (l ×ˢ 𝓝 x) (𝓝 0) := by
rw [Metric.tendstoUniformlyOnFilter_iff] at hf'
exact Metric.tendsto_nhds.mpr fun ε hε => by simpa using hf' ε hε
have h2 : Tendsto (fun n : ι => g' x - f' n x) l (𝓝 0) := by
rw [Metric.tendsto_nhds] at h1 ⊢
exact fun ε hε => (h1 ε hε).curry.mono fun n hn => hn.self_of_nhds
refine squeeze_zero_norm ?_
(tendsto_zero_iff_norm_tendsto_zero.mp (tendsto_fst.comp (h2.prod_map tendsto_id)))
intro n
simp_rw [norm_smul, norm_inv, RCLike.norm_coe_norm]
by_cases hx : x = n.2; · simp [hx]
have hnx : 0 < ‖n.2 - x‖ := by
rw [norm_pos_iff]; intro hx'; exact hx (eq_of_sub_eq_zero hx').symm
rw [inv_mul_le_iff hnx, mul_comm]
simp only [Function.comp_apply, Prod.map_apply]
rw [norm_sub_rev]
exact (f' n.1 x - g' x).le_opNorm (n.2 - x)
#align has_fderiv_at_of_tendsto_uniformly_on_filter hasFDerivAt_of_tendstoUniformlyOnFilter
theorem hasFDerivAt_of_tendstoLocallyUniformlyOn [NeBot l] {s : Set E} (hs : IsOpen s)
(hf' : TendstoLocallyUniformlyOn f' g' l s) (hf : ∀ n, ∀ x ∈ s, HasFDerivAt (f n) (f' n x) x)
(hfg : ∀ x ∈ s, Tendsto (fun n => f n x) l (𝓝 (g x))) (hx : x ∈ s) :
HasFDerivAt g (g' x) x := by
have h1 : s ∈ 𝓝 x := hs.mem_nhds hx
have h3 : Set.univ ×ˢ s ∈ l ×ˢ 𝓝 x := by simp only [h1, prod_mem_prod_iff, univ_mem, and_self_iff]
have h4 : ∀ᶠ n : ι × E in l ×ˢ 𝓝 x, HasFDerivAt (f n.1) (f' n.1 n.2) n.2 :=
eventually_of_mem h3 fun ⟨n, z⟩ ⟨_, hz⟩ => hf n z hz
refine hasFDerivAt_of_tendstoUniformlyOnFilter ?_ h4 (eventually_of_mem h1 hfg)
simpa [IsOpen.nhdsWithin_eq hs hx] using tendstoLocallyUniformlyOn_iff_filter.mp hf' x hx
#align has_fderiv_at_of_tendsto_locally_uniformly_on hasFDerivAt_of_tendstoLocallyUniformlyOn
| Mathlib/Analysis/Calculus/UniformLimitsDeriv.lean | 411 | 416 | theorem hasFDerivAt_of_tendsto_locally_uniformly_on' [NeBot l] {s : Set E} (hs : IsOpen s)
(hf' : TendstoLocallyUniformlyOn (fderiv 𝕜 ∘ f) g' l s) (hf : ∀ n, DifferentiableOn 𝕜 (f n) s)
(hfg : ∀ x ∈ s, Tendsto (fun n => f n x) l (𝓝 (g x))) (hx : x ∈ s) :
HasFDerivAt g (g' x) x := by |
refine hasFDerivAt_of_tendstoLocallyUniformlyOn hs hf' (fun n z hz => ?_) hfg hx
exact ((hf n z hz).differentiableAt (hs.mem_nhds hz)).hasFDerivAt
|
import Mathlib.FieldTheory.Fixed
import Mathlib.FieldTheory.NormalClosure
import Mathlib.FieldTheory.PrimitiveElement
import Mathlib.GroupTheory.GroupAction.FixingSubgroup
#align_import field_theory.galois from "leanprover-community/mathlib"@"9fb8964792b4237dac6200193a0d533f1b3f7423"
open scoped Polynomial IntermediateField
open FiniteDimensional AlgEquiv
section
variable (F : Type*) [Field F] (E : Type*) [Field E] [Algebra F E]
class IsGalois : Prop where
[to_isSeparable : IsSeparable F E]
[to_normal : Normal F E]
#align is_galois IsGalois
variable {F E}
theorem isGalois_iff : IsGalois F E ↔ IsSeparable F E ∧ Normal F E :=
⟨fun h => ⟨h.1, h.2⟩, fun h =>
{ to_isSeparable := h.1
to_normal := h.2 }⟩
#align is_galois_iff isGalois_iff
attribute [instance 100] IsGalois.to_isSeparable IsGalois.to_normal
-- see Note [lower instance priority]
variable (F E)
namespace IsGalois
instance self : IsGalois F F :=
⟨⟩
#align is_galois.self IsGalois.self
variable {E}
theorem integral [IsGalois F E] (x : E) : IsIntegral F x :=
to_normal.isIntegral x
#align is_galois.integral IsGalois.integral
theorem separable [IsGalois F E] (x : E) : (minpoly F x).Separable :=
IsSeparable.separable F x
#align is_galois.separable IsGalois.separable
theorem splits [IsGalois F E] (x : E) : (minpoly F x).Splits (algebraMap F E) :=
Normal.splits' x
#align is_galois.splits IsGalois.splits
variable (E)
instance of_fixed_field (G : Type*) [Group G] [Finite G] [MulSemiringAction G E] :
IsGalois (FixedPoints.subfield G E) E :=
⟨⟩
#align is_galois.of_fixed_field IsGalois.of_fixed_field
theorem IntermediateField.AdjoinSimple.card_aut_eq_finrank [FiniteDimensional F E] {α : E}
(hα : IsIntegral F α) (h_sep : (minpoly F α).Separable)
(h_splits : (minpoly F α).Splits (algebraMap F F⟮α⟯)) :
Fintype.card (F⟮α⟯ ≃ₐ[F] F⟮α⟯) = finrank F F⟮α⟯ := by
letI : Fintype (F⟮α⟯ →ₐ[F] F⟮α⟯) := IntermediateField.fintypeOfAlgHomAdjoinIntegral F hα
rw [IntermediateField.adjoin.finrank hα]
rw [← IntermediateField.card_algHom_adjoin_integral F hα h_sep h_splits]
exact Fintype.card_congr (algEquivEquivAlgHom F F⟮α⟯)
#align is_galois.intermediate_field.adjoin_simple.card_aut_eq_finrank IsGalois.IntermediateField.AdjoinSimple.card_aut_eq_finrank
| Mathlib/FieldTheory/Galois.lean | 103 | 125 | theorem card_aut_eq_finrank [FiniteDimensional F E] [IsGalois F E] :
Fintype.card (E ≃ₐ[F] E) = finrank F E := by |
cases' Field.exists_primitive_element F E with α hα
let iso : F⟮α⟯ ≃ₐ[F] E :=
{ toFun := fun e => e.val
invFun := fun e => ⟨e, by rw [hα]; exact IntermediateField.mem_top⟩
left_inv := fun _ => by ext; rfl
right_inv := fun _ => rfl
map_mul' := fun _ _ => rfl
map_add' := fun _ _ => rfl
commutes' := fun _ => rfl }
have H : IsIntegral F α := IsGalois.integral F α
have h_sep : (minpoly F α).Separable := IsGalois.separable F α
have h_splits : (minpoly F α).Splits (algebraMap F E) := IsGalois.splits F α
replace h_splits : Polynomial.Splits (algebraMap F F⟮α⟯) (minpoly F α) := by
simpa using
Polynomial.splits_comp_of_splits (algebraMap F E) iso.symm.toAlgHom.toRingHom h_splits
rw [← LinearEquiv.finrank_eq iso.toLinearEquiv]
rw [← IntermediateField.AdjoinSimple.card_aut_eq_finrank F E H h_sep h_splits]
apply Fintype.card_congr
apply Equiv.mk (fun ϕ => iso.trans (ϕ.trans iso.symm)) fun ϕ => iso.symm.trans (ϕ.trans iso)
· intro ϕ; ext1; simp only [trans_apply, apply_symm_apply]
· intro ϕ; ext1; simp only [trans_apply, symm_apply_apply]
|
import Mathlib.Data.Nat.Choose.Dvd
import Mathlib.RingTheory.IntegrallyClosed
import Mathlib.RingTheory.Norm
import Mathlib.RingTheory.Polynomial.Cyclotomic.Expand
#align_import ring_theory.polynomial.eisenstein.is_integral from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32"
universe u v w z
variable {R : Type u}
open Ideal Algebra Finset
open scoped Polynomial
section Cyclotomic
variable (p : ℕ)
local notation "𝓟" => Submodule.span ℤ {(p : ℤ)}
open Polynomial
theorem cyclotomic_comp_X_add_one_isEisensteinAt [hp : Fact p.Prime] :
((cyclotomic p ℤ).comp (X + 1)).IsEisensteinAt 𝓟 := by
refine Monic.isEisensteinAt_of_mem_of_not_mem ?_
(Ideal.IsPrime.ne_top <| (Ideal.span_singleton_prime (mod_cast hp.out.ne_zero)).2 <|
Nat.prime_iff_prime_int.1 hp.out) (fun {i hi} => ?_) ?_
· rw [show (X + 1 : ℤ[X]) = X + C 1 by simp]
refine (cyclotomic.monic p ℤ).comp (monic_X_add_C 1) fun h => ?_
rw [natDegree_X_add_C] at h
exact zero_ne_one h.symm
· rw [cyclotomic_prime, geom_sum_X_comp_X_add_one_eq_sum, ← lcoeff_apply, map_sum]
conv =>
congr
congr
next => skip
ext
rw [lcoeff_apply, ← C_eq_natCast, C_mul_X_pow_eq_monomial, coeff_monomial]
rw [natDegree_comp, show (X + 1 : ℤ[X]) = X + C 1 by simp, natDegree_X_add_C, mul_one,
natDegree_cyclotomic, Nat.totient_prime hp.out] at hi
simp only [hi.trans_le (Nat.sub_le _ _), sum_ite_eq', mem_range, if_true,
Ideal.submodule_span_eq, Ideal.mem_span_singleton, Int.natCast_dvd_natCast]
exact hp.out.dvd_choose_self i.succ_ne_zero (lt_tsub_iff_right.1 hi)
· rw [coeff_zero_eq_eval_zero, eval_comp, cyclotomic_prime, eval_add, eval_X, eval_one, zero_add,
eval_geom_sum, one_geom_sum, Ideal.submodule_span_eq, Ideal.span_singleton_pow,
Ideal.mem_span_singleton]
intro h
obtain ⟨k, hk⟩ := Int.natCast_dvd_natCast.1 h
rw [mul_assoc, mul_comm 1, mul_one] at hk
nth_rw 1 [← Nat.mul_one p] at hk
rw [mul_right_inj' hp.out.ne_zero] at hk
exact Nat.Prime.not_dvd_one hp.out (Dvd.intro k hk.symm)
set_option linter.uppercaseLean3 false in
#align cyclotomic_comp_X_add_one_is_eisenstein_at cyclotomic_comp_X_add_one_isEisensteinAt
| Mathlib/RingTheory/Polynomial/Eisenstein/IsIntegral.lean | 77 | 117 | theorem cyclotomic_prime_pow_comp_X_add_one_isEisensteinAt [hp : Fact p.Prime] (n : ℕ) :
((cyclotomic (p ^ (n + 1)) ℤ).comp (X + 1)).IsEisensteinAt 𝓟 := by |
refine Monic.isEisensteinAt_of_mem_of_not_mem ?_
(Ideal.IsPrime.ne_top <| (Ideal.span_singleton_prime (mod_cast hp.out.ne_zero)).2 <|
Nat.prime_iff_prime_int.1 hp.out) ?_ ?_
· rw [show (X + 1 : ℤ[X]) = X + C 1 by simp]
refine (cyclotomic.monic _ ℤ).comp (monic_X_add_C 1) fun h => ?_
rw [natDegree_X_add_C] at h
exact zero_ne_one h.symm
· induction' n with n hn
· intro i hi
rw [Nat.zero_add, pow_one] at hi ⊢
exact (cyclotomic_comp_X_add_one_isEisensteinAt p).mem hi
· intro i hi
rw [Ideal.submodule_span_eq, Ideal.mem_span_singleton, ← ZMod.intCast_zmod_eq_zero_iff_dvd,
show ↑(_ : ℤ) = Int.castRingHom (ZMod p) _ by rfl, ← coeff_map, map_comp, map_cyclotomic,
Polynomial.map_add, map_X, Polynomial.map_one, pow_add, pow_one,
cyclotomic_mul_prime_dvd_eq_pow, pow_comp, ← ZMod.expand_card, coeff_expand hp.out.pos]
· simp only [ite_eq_right_iff]
rintro ⟨k, hk⟩
rw [natDegree_comp, show (X + 1 : ℤ[X]) = X + C 1 by simp, natDegree_X_add_C, mul_one,
natDegree_cyclotomic, Nat.totient_prime_pow hp.out (Nat.succ_pos _), Nat.add_one_sub_one]
at hn hi
rw [hk, pow_succ', mul_assoc] at hi
rw [hk, mul_comm, Nat.mul_div_cancel _ hp.out.pos]
replace hn := hn (lt_of_mul_lt_mul_left' hi)
rw [Ideal.submodule_span_eq, Ideal.mem_span_singleton, ← ZMod.intCast_zmod_eq_zero_iff_dvd,
show ↑(_ : ℤ) = Int.castRingHom (ZMod p) _ by rfl, ← coeff_map] at hn
simpa [map_comp] using hn
· exact ⟨p ^ n, by rw [pow_succ']⟩
· rw [coeff_zero_eq_eval_zero, eval_comp, cyclotomic_prime_pow_eq_geom_sum hp.out, eval_add,
eval_X, eval_one, zero_add, eval_finset_sum]
simp only [eval_pow, eval_X, one_pow, sum_const, card_range, Nat.smul_one_eq_cast,
submodule_span_eq, Ideal.submodule_span_eq, Ideal.span_singleton_pow,
Ideal.mem_span_singleton]
intro h
obtain ⟨k, hk⟩ := Int.natCast_dvd_natCast.1 h
rw [mul_assoc, mul_comm 1, mul_one] at hk
nth_rw 1 [← Nat.mul_one p] at hk
rw [mul_right_inj' hp.out.ne_zero] at hk
exact Nat.Prime.not_dvd_one hp.out (Dvd.intro k hk.symm)
|
import Mathlib.Geometry.Manifold.ContMDiff.NormedSpace
#align_import geometry.manifold.vector_bundle.fiberwise_linear from "leanprover-community/mathlib"@"be2c24f56783935652cefffb4bfca7e4b25d167e"
noncomputable section
open Set TopologicalSpace
open scoped Manifold Topology
variable {𝕜 B F : Type*} [TopologicalSpace B]
variable [NontriviallyNormedField 𝕜] [NormedAddCommGroup F] [NormedSpace 𝕜 F]
namespace FiberwiseLinear
variable {φ φ' : B → F ≃L[𝕜] F} {U U' : Set B}
def partialHomeomorph (φ : B → F ≃L[𝕜] F) (hU : IsOpen U)
(hφ : ContinuousOn (fun x => φ x : B → F →L[𝕜] F) U)
(h2φ : ContinuousOn (fun x => (φ x).symm : B → F →L[𝕜] F) U) :
PartialHomeomorph (B × F) (B × F) where
toFun x := (x.1, φ x.1 x.2)
invFun x := (x.1, (φ x.1).symm x.2)
source := U ×ˢ univ
target := U ×ˢ univ
map_source' _x hx := mk_mem_prod hx.1 (mem_univ _)
map_target' _x hx := mk_mem_prod hx.1 (mem_univ _)
left_inv' _ _ := Prod.ext rfl (ContinuousLinearEquiv.symm_apply_apply _ _)
right_inv' _ _ := Prod.ext rfl (ContinuousLinearEquiv.apply_symm_apply _ _)
open_source := hU.prod isOpen_univ
open_target := hU.prod isOpen_univ
continuousOn_toFun :=
have : ContinuousOn (fun p : B × F => ((φ p.1 : F →L[𝕜] F), p.2)) (U ×ˢ univ) :=
hφ.prod_map continuousOn_id
continuousOn_fst.prod (isBoundedBilinearMap_apply.continuous.comp_continuousOn this)
continuousOn_invFun :=
haveI : ContinuousOn (fun p : B × F => (((φ p.1).symm : F →L[𝕜] F), p.2)) (U ×ˢ univ) :=
h2φ.prod_map continuousOn_id
continuousOn_fst.prod (isBoundedBilinearMap_apply.continuous.comp_continuousOn this)
#align fiberwise_linear.local_homeomorph FiberwiseLinear.partialHomeomorph
theorem trans_partialHomeomorph_apply (hU : IsOpen U)
(hφ : ContinuousOn (fun x => φ x : B → F →L[𝕜] F) U)
(h2φ : ContinuousOn (fun x => (φ x).symm : B → F →L[𝕜] F) U) (hU' : IsOpen U')
(hφ' : ContinuousOn (fun x => φ' x : B → F →L[𝕜] F) U')
(h2φ' : ContinuousOn (fun x => (φ' x).symm : B → F →L[𝕜] F) U') (b : B) (v : F) :
(FiberwiseLinear.partialHomeomorph φ hU hφ h2φ ≫ₕ
FiberwiseLinear.partialHomeomorph φ' hU' hφ' h2φ')
⟨b, v⟩ =
⟨b, φ' b (φ b v)⟩ :=
rfl
#align fiberwise_linear.trans_local_homeomorph_apply FiberwiseLinear.trans_partialHomeomorph_apply
| Mathlib/Geometry/Manifold/VectorBundle/FiberwiseLinear.lean | 74 | 82 | theorem source_trans_partialHomeomorph (hU : IsOpen U)
(hφ : ContinuousOn (fun x => φ x : B → F →L[𝕜] F) U)
(h2φ : ContinuousOn (fun x => (φ x).symm : B → F →L[𝕜] F) U) (hU' : IsOpen U')
(hφ' : ContinuousOn (fun x => φ' x : B → F →L[𝕜] F) U')
(h2φ' : ContinuousOn (fun x => (φ' x).symm : B → F →L[𝕜] F) U') :
(FiberwiseLinear.partialHomeomorph φ hU hφ h2φ ≫ₕ
FiberwiseLinear.partialHomeomorph φ' hU' hφ' h2φ').source =
(U ∩ U') ×ˢ univ := by |
dsimp only [FiberwiseLinear.partialHomeomorph]; mfld_set_tac
|
import Mathlib.CategoryTheory.Equivalence
#align_import algebraic_topology.dold_kan.compatibility from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504"
open CategoryTheory CategoryTheory.Category
namespace AlgebraicTopology
namespace DoldKan
namespace Compatibility
variable {A A' B B' : Type*} [Category A] [Category A'] [Category B] [Category B'] (eA : A ≌ A')
(eB : B ≌ B') (e' : A' ≌ B') {F : A ⥤ B'} (hF : eA.functor ⋙ e'.functor ≅ F) {G : B ⥤ A}
(hG : eB.functor ⋙ e'.inverse ≅ G ⋙ eA.functor)
@[simps! functor inverse unitIso_hom_app]
def equivalence₀ : A ≌ B' :=
eA.trans e'
#align algebraic_topology.dold_kan.compatibility.equivalence₀ AlgebraicTopology.DoldKan.Compatibility.equivalence₀
variable {eA} {e'}
@[simps! functor]
def equivalence₁ : A ≌ B' := (equivalence₀ eA e').changeFunctor hF
#align algebraic_topology.dold_kan.compatibility.equivalence₁ AlgebraicTopology.DoldKan.Compatibility.equivalence₁
theorem equivalence₁_inverse : (equivalence₁ hF).inverse = e'.inverse ⋙ eA.inverse :=
rfl
#align algebraic_topology.dold_kan.compatibility.equivalence₁_inverse AlgebraicTopology.DoldKan.Compatibility.equivalence₁_inverse
@[simps!]
def equivalence₁CounitIso : (e'.inverse ⋙ eA.inverse) ⋙ F ≅ 𝟭 B' :=
calc
(e'.inverse ⋙ eA.inverse) ⋙ F ≅ (e'.inverse ⋙ eA.inverse) ⋙ eA.functor ⋙ e'.functor :=
isoWhiskerLeft _ hF.symm
_ ≅ e'.inverse ⋙ (eA.inverse ⋙ eA.functor) ⋙ e'.functor := Iso.refl _
_ ≅ e'.inverse ⋙ 𝟭 _ ⋙ e'.functor := isoWhiskerLeft _ (isoWhiskerRight eA.counitIso _)
_ ≅ e'.inverse ⋙ e'.functor := Iso.refl _
_ ≅ 𝟭 B' := e'.counitIso
#align algebraic_topology.dold_kan.compatibility.equivalence₁_counit_iso AlgebraicTopology.DoldKan.Compatibility.equivalence₁CounitIso
theorem equivalence₁CounitIso_eq : (equivalence₁ hF).counitIso = equivalence₁CounitIso hF := by
ext Y
simp [equivalence₁, equivalence₀]
#align algebraic_topology.dold_kan.compatibility.equivalence₁_counit_iso_eq AlgebraicTopology.DoldKan.Compatibility.equivalence₁CounitIso_eq
@[simps!]
def equivalence₁UnitIso : 𝟭 A ≅ F ⋙ e'.inverse ⋙ eA.inverse :=
calc
𝟭 A ≅ eA.functor ⋙ eA.inverse := eA.unitIso
_ ≅ eA.functor ⋙ 𝟭 A' ⋙ eA.inverse := Iso.refl _
_ ≅ eA.functor ⋙ (e'.functor ⋙ e'.inverse) ⋙ eA.inverse :=
isoWhiskerLeft _ (isoWhiskerRight e'.unitIso _)
_ ≅ (eA.functor ⋙ e'.functor) ⋙ e'.inverse ⋙ eA.inverse := Iso.refl _
_ ≅ F ⋙ e'.inverse ⋙ eA.inverse := isoWhiskerRight hF _
#align algebraic_topology.dold_kan.compatibility.equivalence₁_unit_iso AlgebraicTopology.DoldKan.Compatibility.equivalence₁UnitIso
theorem equivalence₁UnitIso_eq : (equivalence₁ hF).unitIso = equivalence₁UnitIso hF := by
ext X
simp [equivalence₁]
#align algebraic_topology.dold_kan.compatibility.equivalence₁_unit_iso_eq AlgebraicTopology.DoldKan.Compatibility.equivalence₁UnitIso_eq
@[simps! functor]
def equivalence₂ : A ≌ B :=
(equivalence₁ hF).trans eB.symm
#align algebraic_topology.dold_kan.compatibility.equivalence₂ AlgebraicTopology.DoldKan.Compatibility.equivalence₂
theorem equivalence₂_inverse :
(equivalence₂ eB hF).inverse = eB.functor ⋙ e'.inverse ⋙ eA.inverse :=
rfl
#align algebraic_topology.dold_kan.compatibility.equivalence₂_inverse AlgebraicTopology.DoldKan.Compatibility.equivalence₂_inverse
@[simps!]
def equivalence₂CounitIso : (eB.functor ⋙ e'.inverse ⋙ eA.inverse) ⋙ F ⋙ eB.inverse ≅ 𝟭 B :=
calc
(eB.functor ⋙ e'.inverse ⋙ eA.inverse) ⋙ F ⋙ eB.inverse ≅
eB.functor ⋙ (e'.inverse ⋙ eA.inverse ⋙ F) ⋙ eB.inverse :=
Iso.refl _
_ ≅ eB.functor ⋙ 𝟭 _ ⋙ eB.inverse :=
isoWhiskerLeft _ (isoWhiskerRight (equivalence₁CounitIso hF) _)
_ ≅ eB.functor ⋙ eB.inverse := Iso.refl _
_ ≅ 𝟭 B := eB.unitIso.symm
#align algebraic_topology.dold_kan.compatibility.equivalence₂_counit_iso AlgebraicTopology.DoldKan.Compatibility.equivalence₂CounitIso
theorem equivalence₂CounitIso_eq :
(equivalence₂ eB hF).counitIso = equivalence₂CounitIso eB hF := by
ext Y'
dsimp [equivalence₂, Iso.refl]
simp only [equivalence₁CounitIso_eq, equivalence₂CounitIso_hom_app,
equivalence₁CounitIso_hom_app, Functor.map_comp, assoc]
#align algebraic_topology.dold_kan.compatibility.equivalence₂_counit_iso_eq AlgebraicTopology.DoldKan.Compatibility.equivalence₂CounitIso_eq
@[simps!]
def equivalence₂UnitIso : 𝟭 A ≅ (F ⋙ eB.inverse) ⋙ eB.functor ⋙ e'.inverse ⋙ eA.inverse :=
calc
𝟭 A ≅ F ⋙ e'.inverse ⋙ eA.inverse := equivalence₁UnitIso hF
_ ≅ F ⋙ 𝟭 B' ⋙ e'.inverse ⋙ eA.inverse := Iso.refl _
_ ≅ F ⋙ (eB.inverse ⋙ eB.functor) ⋙ e'.inverse ⋙ eA.inverse :=
isoWhiskerLeft _ (isoWhiskerRight eB.counitIso.symm _)
_ ≅ (F ⋙ eB.inverse) ⋙ eB.functor ⋙ e'.inverse ⋙ eA.inverse := Iso.refl _
#align algebraic_topology.dold_kan.compatibility.equivalence₂_unit_iso AlgebraicTopology.DoldKan.Compatibility.equivalence₂UnitIso
| Mathlib/AlgebraicTopology/DoldKan/Compatibility.lean | 152 | 157 | theorem equivalence₂UnitIso_eq : (equivalence₂ eB hF).unitIso = equivalence₂UnitIso eB hF := by |
ext X
dsimp [equivalence₂]
simp only [equivalence₂UnitIso_hom_app, equivalence₁UnitIso_eq, equivalence₁UnitIso_hom_app,
assoc, NatIso.cancel_natIso_hom_left]
rfl
|
import Mathlib.Logic.Function.Basic
import Mathlib.Tactic.MkIffOfInductiveProp
#align_import data.sum.basic from "leanprover-community/mathlib"@"bd9851ca476957ea4549eb19b40e7b5ade9428cc"
universe u v w x
variable {α : Type u} {α' : Type w} {β : Type v} {β' : Type x} {γ δ : Type*}
namespace Sum
#align sum.forall Sum.forall
#align sum.exists Sum.exists
theorem exists_sum {γ : α ⊕ β → Sort*} (p : (∀ ab, γ ab) → Prop) :
(∃ fab, p fab) ↔ (∃ fa fb, p (Sum.rec fa fb)) := by
rw [← not_forall_not, forall_sum]
simp
theorem inl_injective : Function.Injective (inl : α → Sum α β) := fun _ _ ↦ inl.inj
#align sum.inl_injective Sum.inl_injective
theorem inr_injective : Function.Injective (inr : β → Sum α β) := fun _ _ ↦ inr.inj
#align sum.inr_injective Sum.inr_injective
theorem sum_rec_congr (P : α ⊕ β → Sort*) (f : ∀ i, P (inl i)) (g : ∀ i, P (inr i))
{x y : α ⊕ β} (h : x = y) :
@Sum.rec _ _ _ f g x = cast (congr_arg P h.symm) (@Sum.rec _ _ _ f g y) := by cases h; rfl
#align sum.inl.inj_iff Sum.inl.inj_iff
#align sum.inr.inj_iff Sum.inr.inj_iff
#align sum.inl_ne_inr Sum.inl_ne_inr
#align sum.inr_ne_inl Sum.inr_ne_inl
#align sum.elim Sum.elim
#align sum.elim_inl Sum.elim_inl
#align sum.elim_inr Sum.elim_inr
#align sum.elim_comp_inl Sum.elim_comp_inl
#align sum.elim_comp_inr Sum.elim_comp_inr
#align sum.elim_inl_inr Sum.elim_inl_inr
#align sum.comp_elim Sum.comp_elim
#align sum.elim_comp_inl_inr Sum.elim_comp_inl_inr
#align sum.map Sum.map
#align sum.map_inl Sum.map_inl
#align sum.map_inr Sum.map_inr
#align sum.map_map Sum.map_map
#align sum.map_comp_map Sum.map_comp_map
#align sum.map_id_id Sum.map_id_id
#align sum.elim_map Sum.elim_map
#align sum.elim_comp_map Sum.elim_comp_map
#align sum.is_left_map Sum.isLeft_map
#align sum.is_right_map Sum.isRight_map
#align sum.get_left_map Sum.getLeft?_map
#align sum.get_right_map Sum.getRight?_map
open Function (update update_eq_iff update_comp_eq_of_injective update_comp_eq_of_forall_ne)
@[simp]
theorem update_elim_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : α → γ} {g : β → γ} {i : α}
{x : γ} : update (Sum.elim f g) (inl i) x = Sum.elim (update f i x) g :=
update_eq_iff.2 ⟨by simp, by simp (config := { contextual := true })⟩
#align sum.update_elim_inl Sum.update_elim_inl
@[simp]
theorem update_elim_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : α → γ} {g : β → γ} {i : β}
{x : γ} : update (Sum.elim f g) (inr i) x = Sum.elim f (update g i x) :=
update_eq_iff.2 ⟨by simp, by simp (config := { contextual := true })⟩
#align sum.update_elim_inr Sum.update_elim_inr
@[simp]
theorem update_inl_comp_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α}
{x : γ} : update f (inl i) x ∘ inl = update (f ∘ inl) i x :=
update_comp_eq_of_injective _ inl_injective _ _
#align sum.update_inl_comp_inl Sum.update_inl_comp_inl
@[simp]
theorem update_inl_apply_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i j : α}
{x : γ} : update f (inl i) x (inl j) = update (f ∘ inl) i x j := by
rw [← update_inl_comp_inl, Function.comp_apply]
#align sum.update_inl_apply_inl Sum.update_inl_apply_inl
@[simp]
theorem update_inl_comp_inr [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {x : γ} :
update f (inl i) x ∘ inr = f ∘ inr :=
(update_comp_eq_of_forall_ne _ _) fun _ ↦ inr_ne_inl
#align sum.update_inl_comp_inr Sum.update_inl_comp_inr
theorem update_inl_apply_inr [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {j : β} {x : γ} :
update f (inl i) x (inr j) = f (inr j) :=
Function.update_noteq inr_ne_inl _ _
#align sum.update_inl_apply_inr Sum.update_inl_apply_inr
@[simp]
theorem update_inr_comp_inl [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : β} {x : γ} :
update f (inr i) x ∘ inl = f ∘ inl :=
(update_comp_eq_of_forall_ne _ _) fun _ ↦ inl_ne_inr
#align sum.update_inr_comp_inl Sum.update_inr_comp_inl
theorem update_inr_apply_inl [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α} {j : β} {x : γ} :
update f (inr j) x (inl i) = f (inl i) :=
Function.update_noteq inl_ne_inr _ _
#align sum.update_inr_apply_inl Sum.update_inr_apply_inl
@[simp]
theorem update_inr_comp_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : β}
{x : γ} : update f (inr i) x ∘ inr = update (f ∘ inr) i x :=
update_comp_eq_of_injective _ inr_injective _ _
#align sum.update_inr_comp_inr Sum.update_inr_comp_inr
@[simp]
theorem update_inr_apply_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i j : β}
{x : γ} : update f (inr i) x (inr j) = update (f ∘ inr) i x j := by
rw [← update_inr_comp_inr, Function.comp_apply]
#align sum.update_inr_apply_inr Sum.update_inr_apply_inr
#align sum.swap Sum.swap
#align sum.swap_inl Sum.swap_inl
#align sum.swap_inr Sum.swap_inr
#align sum.swap_swap Sum.swap_swap
#align sum.swap_swap_eq Sum.swap_swap_eq
@[simp]
theorem swap_leftInverse : Function.LeftInverse (@swap α β) swap :=
swap_swap
#align sum.swap_left_inverse Sum.swap_leftInverse
@[simp]
theorem swap_rightInverse : Function.RightInverse (@swap α β) swap :=
swap_swap
#align sum.swap_right_inverse Sum.swap_rightInverse
#align sum.is_left_swap Sum.isLeft_swap
#align sum.is_right_swap Sum.isRight_swap
#align sum.get_left_swap Sum.getLeft?_swap
#align sum.get_right_swap Sum.getRight?_swap
mk_iff_of_inductive_prop Sum.LiftRel Sum.liftRel_iff
namespace LiftRel
#align sum.lift_rel Sum.LiftRel
#align sum.lift_rel_inl_inl Sum.liftRel_inl_inl
#align sum.not_lift_rel_inl_inr Sum.not_liftRel_inl_inr
#align sum.not_lift_rel_inr_inl Sum.not_liftRel_inr_inl
#align sum.lift_rel_inr_inr Sum.liftRel_inr_inr
#align sum.lift_rel.mono Sum.LiftRel.mono
#align sum.lift_rel.mono_left Sum.LiftRel.mono_left
#align sum.lift_rel.mono_right Sum.LiftRel.mono_right
#align sum.lift_rel.swap Sum.LiftRel.swap
#align sum.lift_rel_swap_iff Sum.liftRel_swap_iff
variable {r : α → γ → Prop} {s : β → δ → Prop} {x : Sum α β} {y : Sum γ δ}
{a : α} {b : β} {c : γ} {d : δ}
theorem isLeft_congr (h : LiftRel r s x y) : x.isLeft ↔ y.isLeft := by cases h <;> rfl
theorem isRight_congr (h : LiftRel r s x y) : x.isRight ↔ y.isRight := by cases h <;> rfl
theorem isLeft_left (h : LiftRel r s x (inl c)) : x.isLeft := by cases h; rfl
theorem isLeft_right (h : LiftRel r s (inl a) y) : y.isLeft := by cases h; rfl
theorem isRight_left (h : LiftRel r s x (inr d)) : x.isRight := by cases h; rfl
theorem isRight_right (h : LiftRel r s (inr b) y) : y.isRight := by cases h; rfl
theorem exists_of_isLeft_left (h₁ : LiftRel r s x y) (h₂ : x.isLeft) :
∃ a c, r a c ∧ x = inl a ∧ y = inl c := by
rcases isLeft_iff.mp h₂ with ⟨_, rfl⟩
simp only [liftRel_iff, false_and, and_false, exists_false, or_false] at h₁
exact h₁
theorem exists_of_isLeft_right (h₁ : LiftRel r s x y) (h₂ : y.isLeft) :
∃ a c, r a c ∧ x = inl a ∧ y = inl c := exists_of_isLeft_left h₁ ((isLeft_congr h₁).mpr h₂)
| Mathlib/Data/Sum/Basic.lean | 227 | 231 | theorem exists_of_isRight_left (h₁ : LiftRel r s x y) (h₂ : x.isRight) :
∃ b d, s b d ∧ x = inr b ∧ y = inr d := by |
rcases isRight_iff.mp h₂ with ⟨_, rfl⟩
simp only [liftRel_iff, false_and, and_false, exists_false, false_or] at h₁
exact h₁
|
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Algebra.GeomSum
import Mathlib.LinearAlgebra.Matrix.Block
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
import Mathlib.LinearAlgebra.Matrix.Nondegenerate
#align_import linear_algebra.vandermonde from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
variable {R : Type*} [CommRing R]
open Equiv Finset
open Matrix
namespace Matrix
def vandermonde {n : ℕ} (v : Fin n → R) : Matrix (Fin n) (Fin n) R := fun i j => v i ^ (j : ℕ)
#align matrix.vandermonde Matrix.vandermonde
@[simp]
theorem vandermonde_apply {n : ℕ} (v : Fin n → R) (i j) : vandermonde v i j = v i ^ (j : ℕ) :=
rfl
#align matrix.vandermonde_apply Matrix.vandermonde_apply
@[simp]
theorem vandermonde_cons {n : ℕ} (v0 : R) (v : Fin n → R) :
vandermonde (Fin.cons v0 v : Fin n.succ → R) =
Fin.cons (fun (j : Fin n.succ) => v0 ^ (j : ℕ)) fun i => Fin.cons 1
fun j => v i * vandermonde v i j := by
ext i j
refine Fin.cases (by simp) (fun i => ?_) i
refine Fin.cases (by simp) (fun j => ?_) j
simp [pow_succ']
#align matrix.vandermonde_cons Matrix.vandermonde_cons
theorem vandermonde_succ {n : ℕ} (v : Fin n.succ → R) :
vandermonde v =
Fin.cons (fun (j : Fin n.succ) => v 0 ^ (j : ℕ)) fun i =>
Fin.cons 1 fun j => v i.succ * vandermonde (Fin.tail v) i j := by
conv_lhs => rw [← Fin.cons_self_tail v, vandermonde_cons]
rfl
#align matrix.vandermonde_succ Matrix.vandermonde_succ
theorem vandermonde_mul_vandermonde_transpose {n : ℕ} (v w : Fin n → R) (i j) :
(vandermonde v * (vandermonde w)ᵀ) i j = ∑ k : Fin n, (v i * w j) ^ (k : ℕ) := by
simp only [vandermonde_apply, Matrix.mul_apply, Matrix.transpose_apply, mul_pow]
#align matrix.vandermonde_mul_vandermonde_transpose Matrix.vandermonde_mul_vandermonde_transpose
theorem vandermonde_transpose_mul_vandermonde {n : ℕ} (v : Fin n → R) (i j) :
((vandermonde v)ᵀ * vandermonde v) i j = ∑ k : Fin n, v k ^ (i + j : ℕ) := by
simp only [vandermonde_apply, Matrix.mul_apply, Matrix.transpose_apply, pow_add]
#align matrix.vandermonde_transpose_mul_vandermonde Matrix.vandermonde_transpose_mul_vandermonde
theorem det_vandermonde {n : ℕ} (v : Fin n → R) :
det (vandermonde v) = ∏ i : Fin n, ∏ j ∈ Ioi i, (v j - v i) := by
unfold vandermonde
induction' n with n ih
· exact det_eq_one_of_card_eq_zero (Fintype.card_fin 0)
calc
det (of fun i j : Fin n.succ => v i ^ (j : ℕ)) =
det
(of fun i j : Fin n.succ =>
Matrix.vecCons (v 0 ^ (j : ℕ)) (fun i => v (Fin.succ i) ^ (j : ℕ) - v 0 ^ (j : ℕ)) i) :=
det_eq_of_forall_row_eq_smul_add_const (Matrix.vecCons 0 1) 0 (Fin.cons_zero _ _) ?_
_ =
det
(of fun i j : Fin n =>
Matrix.vecCons (v 0 ^ (j.succ : ℕ))
(fun i : Fin n => v (Fin.succ i) ^ (j.succ : ℕ) - v 0 ^ (j.succ : ℕ))
(Fin.succAbove 0 i)) := by
simp_rw [det_succ_column_zero, Fin.sum_univ_succ, of_apply, Matrix.cons_val_zero, submatrix,
of_apply, Matrix.cons_val_succ, Fin.val_zero, pow_zero, one_mul, sub_self,
mul_zero, zero_mul, Finset.sum_const_zero, add_zero]
_ =
det
(of fun i j : Fin n =>
(v (Fin.succ i) - v 0) *
∑ k ∈ Finset.range (j + 1 : ℕ), v i.succ ^ k * v 0 ^ (j - k : ℕ) :
Matrix _ _ R) := by
congr
ext i j
rw [Fin.succAbove_zero, Matrix.cons_val_succ, Fin.val_succ, mul_comm]
exact (geom_sum₂_mul (v i.succ) (v 0) (j + 1 : ℕ)).symm
_ =
(∏ i ∈ Finset.univ, (v (Fin.succ i) - v 0)) *
det fun i j : Fin n =>
∑ k ∈ Finset.range (j + 1 : ℕ), v i.succ ^ k * v 0 ^ (j - k : ℕ) :=
(det_mul_column (fun i => v (Fin.succ i) - v 0) _)
_ = (∏ i ∈ Finset.univ, (v (Fin.succ i) - v 0)) *
det fun i j : Fin n => v (Fin.succ i) ^ (j : ℕ) := congr_arg _ ?_
_ = ∏ i : Fin n.succ, ∏ j ∈ Ioi i, (v j - v i) := by
simp_rw [Fin.prod_univ_succ, Fin.prod_Ioi_zero, Fin.prod_Ioi_succ]
have h := ih (v ∘ Fin.succ)
unfold Function.comp at h
rw [h]
· intro i j
simp_rw [of_apply]
rw [Matrix.cons_val_zero]
refine Fin.cases ?_ (fun i => ?_) i
· simp
rw [Matrix.cons_val_succ, Matrix.cons_val_succ, Pi.one_apply]
ring
· cases n
· rw [det_eq_one_of_card_eq_zero (Fintype.card_fin 0),
det_eq_one_of_card_eq_zero (Fintype.card_fin 0)]
apply det_eq_of_forall_col_eq_smul_add_pred fun _ => v 0
· intro j
simp
· intro i j
simp only [smul_eq_mul, Pi.add_apply, Fin.val_succ, Fin.coe_castSucc, Pi.smul_apply]
rw [Finset.sum_range_succ, add_comm, tsub_self, pow_zero, mul_one, Finset.mul_sum]
congr 1
refine Finset.sum_congr rfl fun i' hi' => ?_
rw [mul_left_comm (v 0), Nat.succ_sub, pow_succ']
exact Nat.lt_succ_iff.mp (Finset.mem_range.mp hi')
#align matrix.det_vandermonde Matrix.det_vandermonde
theorem det_vandermonde_eq_zero_iff [IsDomain R] {n : ℕ} {v : Fin n → R} :
det (vandermonde v) = 0 ↔ ∃ i j : Fin n, v i = v j ∧ i ≠ j := by
constructor
· simp only [det_vandermonde v, Finset.prod_eq_zero_iff, sub_eq_zero, forall_exists_index]
rintro i ⟨_, j, h₁, h₂⟩
exact ⟨j, i, h₂, (mem_Ioi.mp h₁).ne'⟩
· simp only [Ne, forall_exists_index, and_imp]
refine fun i j h₁ h₂ => Matrix.det_zero_of_row_eq h₂ (funext fun k => ?_)
rw [vandermonde_apply, vandermonde_apply, h₁]
#align matrix.det_vandermonde_eq_zero_iff Matrix.det_vandermonde_eq_zero_iff
theorem det_vandermonde_ne_zero_iff [IsDomain R] {n : ℕ} {v : Fin n → R} :
det (vandermonde v) ≠ 0 ↔ Function.Injective v := by
unfold Function.Injective
simp only [det_vandermonde_eq_zero_iff, Ne, not_exists, not_and, Classical.not_not]
#align matrix.det_vandermonde_ne_zero_iff Matrix.det_vandermonde_ne_zero_iff
@[simp]
| Mathlib/LinearAlgebra/Vandermonde.lean | 160 | 162 | theorem det_vandermonde_add {n : ℕ} (v : Fin n → R) (a : R) :
(Matrix.vandermonde fun i ↦ v i + a).det = (Matrix.vandermonde v).det := by |
simp [Matrix.det_vandermonde]
|
import Mathlib.GroupTheory.Solvable
import Mathlib.FieldTheory.PolynomialGaloisGroup
import Mathlib.RingTheory.RootsOfUnity.Basic
#align_import field_theory.abel_ruffini from "leanprover-community/mathlib"@"e3f4be1fcb5376c4948d7f095bec45350bfb9d1a"
noncomputable section
open scoped Classical Polynomial IntermediateField
open Polynomial IntermediateField
section AbelRuffini
variable {F : Type*} [Field F] {E : Type*} [Field E] [Algebra F E]
theorem gal_zero_isSolvable : IsSolvable (0 : F[X]).Gal := by infer_instance
#align gal_zero_is_solvable gal_zero_isSolvable
theorem gal_one_isSolvable : IsSolvable (1 : F[X]).Gal := by infer_instance
#align gal_one_is_solvable gal_one_isSolvable
| Mathlib/FieldTheory/AbelRuffini.lean | 45 | 45 | theorem gal_C_isSolvable (x : F) : IsSolvable (C x).Gal := by | infer_instance
|
import Mathlib.Geometry.Manifold.SmoothManifoldWithCorners
import Mathlib.Topology.Compactness.Paracompact
import Mathlib.Topology.Metrizable.Urysohn
#align_import geometry.manifold.metrizable from "leanprover-community/mathlib"@"d1bd9c5df2867c1cb463bc6364446d57bdd9f7f1"
open TopologicalSpace
| Mathlib/Geometry/Manifold/Metrizable.lean | 24 | 31 | theorem ManifoldWithCorners.metrizableSpace {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[FiniteDimensional ℝ E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners ℝ E H)
(M : Type*) [TopologicalSpace M] [ChartedSpace H M] [SigmaCompactSpace M] [T2Space M] :
MetrizableSpace M := by |
haveI := I.locallyCompactSpace; haveI := ChartedSpace.locallyCompactSpace H M
haveI := I.secondCountableTopology
haveI := ChartedSpace.secondCountable_of_sigma_compact H M
exact metrizableSpace_of_t3_second_countable M
|
import Mathlib.Algebra.GCDMonoid.Multiset
import Mathlib.Combinatorics.Enumerative.Partition
import Mathlib.Data.List.Rotate
import Mathlib.GroupTheory.Perm.Cycle.Factors
import Mathlib.GroupTheory.Perm.Closure
import Mathlib.Algebra.GCDMonoid.Nat
import Mathlib.Tactic.NormNum.GCD
#align_import group_theory.perm.cycle.type from "leanprover-community/mathlib"@"47adfab39a11a072db552f47594bf8ed2cf8a722"
namespace Equiv.Perm
open Equiv List Multiset
variable {α : Type*} [Fintype α]
section CycleType
variable [DecidableEq α]
def cycleType (σ : Perm α) : Multiset ℕ :=
σ.cycleFactorsFinset.1.map (Finset.card ∘ support)
#align equiv.perm.cycle_type Equiv.Perm.cycleType
theorem cycleType_def (σ : Perm α) :
σ.cycleType = σ.cycleFactorsFinset.1.map (Finset.card ∘ support) :=
rfl
#align equiv.perm.cycle_type_def Equiv.Perm.cycleType_def
theorem cycleType_eq' {σ : Perm α} (s : Finset (Perm α)) (h1 : ∀ f : Perm α, f ∈ s → f.IsCycle)
(h2 : (s : Set (Perm α)).Pairwise Disjoint)
(h0 : s.noncommProd id (h2.imp fun _ _ => Disjoint.commute) = σ) :
σ.cycleType = s.1.map (Finset.card ∘ support) := by
rw [cycleType_def]
congr
rw [cycleFactorsFinset_eq_finset]
exact ⟨h1, h2, h0⟩
#align equiv.perm.cycle_type_eq' Equiv.Perm.cycleType_eq'
theorem cycleType_eq {σ : Perm α} (l : List (Perm α)) (h0 : l.prod = σ)
(h1 : ∀ σ : Perm α, σ ∈ l → σ.IsCycle) (h2 : l.Pairwise Disjoint) :
σ.cycleType = l.map (Finset.card ∘ support) := by
have hl : l.Nodup := nodup_of_pairwise_disjoint_cycles h1 h2
rw [cycleType_eq' l.toFinset]
· simp [List.dedup_eq_self.mpr hl, (· ∘ ·)]
· simpa using h1
· simpa [hl] using h2
· simp [hl, h0]
#align equiv.perm.cycle_type_eq Equiv.Perm.cycleType_eq
@[simp] -- Porting note: new attr
theorem cycleType_eq_zero {σ : Perm α} : σ.cycleType = 0 ↔ σ = 1 := by
simp [cycleType_def, cycleFactorsFinset_eq_empty_iff]
#align equiv.perm.cycle_type_eq_zero Equiv.Perm.cycleType_eq_zero
@[simp] -- Porting note: new attr
theorem cycleType_one : (1 : Perm α).cycleType = 0 := cycleType_eq_zero.2 rfl
#align equiv.perm.cycle_type_one Equiv.Perm.cycleType_one
theorem card_cycleType_eq_zero {σ : Perm α} : Multiset.card σ.cycleType = 0 ↔ σ = 1 := by
rw [card_eq_zero, cycleType_eq_zero]
#align equiv.perm.card_cycle_type_eq_zero Equiv.Perm.card_cycleType_eq_zero
theorem card_cycleType_pos {σ : Perm α} : 0 < Multiset.card σ.cycleType ↔ σ ≠ 1 :=
pos_iff_ne_zero.trans card_cycleType_eq_zero.not
theorem two_le_of_mem_cycleType {σ : Perm α} {n : ℕ} (h : n ∈ σ.cycleType) : 2 ≤ n := by
simp only [cycleType_def, ← Finset.mem_def, Function.comp_apply, Multiset.mem_map,
mem_cycleFactorsFinset_iff] at h
obtain ⟨_, ⟨hc, -⟩, rfl⟩ := h
exact hc.two_le_card_support
#align equiv.perm.two_le_of_mem_cycle_type Equiv.Perm.two_le_of_mem_cycleType
theorem one_lt_of_mem_cycleType {σ : Perm α} {n : ℕ} (h : n ∈ σ.cycleType) : 1 < n :=
two_le_of_mem_cycleType h
#align equiv.perm.one_lt_of_mem_cycle_type Equiv.Perm.one_lt_of_mem_cycleType
theorem IsCycle.cycleType {σ : Perm α} (hσ : IsCycle σ) : σ.cycleType = [σ.support.card] :=
cycleType_eq [σ] (mul_one σ) (fun _τ hτ => (congr_arg IsCycle (List.mem_singleton.mp hτ)).mpr hσ)
(List.pairwise_singleton Disjoint σ)
#align equiv.perm.is_cycle.cycle_type Equiv.Perm.IsCycle.cycleType
theorem card_cycleType_eq_one {σ : Perm α} : Multiset.card σ.cycleType = 1 ↔ σ.IsCycle := by
rw [card_eq_one]
simp_rw [cycleType_def, Multiset.map_eq_singleton, ← Finset.singleton_val, Finset.val_inj,
cycleFactorsFinset_eq_singleton_iff]
constructor
· rintro ⟨_, _, ⟨h, -⟩, -⟩
exact h
· intro h
use σ.support.card, σ
simp [h]
#align equiv.perm.card_cycle_type_eq_one Equiv.Perm.card_cycleType_eq_one
| Mathlib/GroupTheory/Perm/Cycle/Type.lean | 122 | 126 | theorem Disjoint.cycleType {σ τ : Perm α} (h : Disjoint σ τ) :
(σ * τ).cycleType = σ.cycleType + τ.cycleType := by |
rw [cycleType_def, cycleType_def, cycleType_def, h.cycleFactorsFinset_mul_eq_union, ←
Multiset.map_add, Finset.union_val, Multiset.add_eq_union_iff_disjoint.mpr _]
exact Finset.disjoint_val.2 h.disjoint_cycleFactorsFinset
|
import Mathlib.Data.Finsupp.Multiset
import Mathlib.Data.Nat.GCD.BigOperators
import Mathlib.Data.Nat.PrimeFin
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.Order.Interval.Finset.Nat
#align_import data.nat.factorization.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
-- Workaround for lean4#2038
attribute [-instance] instBEqNat
open Nat Finset List Finsupp
namespace Nat
variable {a b m n p : ℕ}
def factorization (n : ℕ) : ℕ →₀ ℕ where
support := n.primeFactors
toFun p := if p.Prime then padicValNat p n else 0
mem_support_toFun := by simp [not_or]; aesop
#align nat.factorization Nat.factorization
@[simp] lemma support_factorization (n : ℕ) : (factorization n).support = n.primeFactors := rfl
theorem factorization_def (n : ℕ) {p : ℕ} (pp : p.Prime) : n.factorization p = padicValNat p n := by
simpa [factorization] using absurd pp
#align nat.factorization_def Nat.factorization_def
@[simp]
theorem factors_count_eq {n p : ℕ} : n.factors.count p = n.factorization p := by
rcases n.eq_zero_or_pos with (rfl | hn0)
· simp [factorization, count]
if pp : p.Prime then ?_ else
rw [count_eq_zero_of_not_mem (mt prime_of_mem_factors pp)]
simp [factorization, pp]
simp only [factorization_def _ pp]
apply _root_.le_antisymm
· rw [le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
exact List.le_count_iff_replicate_sublist.mp le_rfl |>.subperm
· rw [← lt_add_one_iff, lt_iff_not_ge, ge_iff_le,
le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
intro h
have := h.count_le p
simp at this
#align nat.factors_count_eq Nat.factors_count_eq
theorem factorization_eq_factors_multiset (n : ℕ) :
n.factorization = Multiset.toFinsupp (n.factors : Multiset ℕ) := by
ext p
simp
#align nat.factorization_eq_factors_multiset Nat.factorization_eq_factors_multiset
theorem multiplicity_eq_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) :
multiplicity p n = n.factorization p := by
simp [factorization, pp, padicValNat_def' pp.ne_one hn.bot_lt]
#align nat.multiplicity_eq_factorization Nat.multiplicity_eq_factorization
@[simp]
theorem factorization_prod_pow_eq_self {n : ℕ} (hn : n ≠ 0) : n.factorization.prod (· ^ ·) = n := by
rw [factorization_eq_factors_multiset n]
simp only [← prod_toMultiset, factorization, Multiset.prod_coe, Multiset.toFinsupp_toMultiset]
exact prod_factors hn
#align nat.factorization_prod_pow_eq_self Nat.factorization_prod_pow_eq_self
theorem eq_of_factorization_eq {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0)
(h : ∀ p : ℕ, a.factorization p = b.factorization p) : a = b :=
eq_of_perm_factors ha hb (by simpa only [List.perm_iff_count, factors_count_eq] using h)
#align nat.eq_of_factorization_eq Nat.eq_of_factorization_eq
theorem factorization_inj : Set.InjOn factorization { x : ℕ | x ≠ 0 } := fun a ha b hb h =>
eq_of_factorization_eq ha hb fun p => by simp [h]
#align nat.factorization_inj Nat.factorization_inj
@[simp]
theorem factorization_zero : factorization 0 = 0 := by ext; simp [factorization]
#align nat.factorization_zero Nat.factorization_zero
@[simp]
theorem factorization_one : factorization 1 = 0 := by ext; simp [factorization]
#align nat.factorization_one Nat.factorization_one
#noalign nat.support_factorization
#align nat.factor_iff_mem_factorization Nat.mem_primeFactors_iff_mem_factors
#align nat.prime_of_mem_factorization Nat.prime_of_mem_primeFactors
#align nat.pos_of_mem_factorization Nat.pos_of_mem_primeFactors
#align nat.le_of_mem_factorization Nat.le_of_mem_primeFactors
theorem factorization_eq_zero_iff (n p : ℕ) :
n.factorization p = 0 ↔ ¬p.Prime ∨ ¬p ∣ n ∨ n = 0 := by
simp_rw [← not_mem_support_iff, support_factorization, mem_primeFactors, not_and_or, not_ne_iff]
#align nat.factorization_eq_zero_iff Nat.factorization_eq_zero_iff
@[simp]
theorem factorization_eq_zero_of_non_prime (n : ℕ) {p : ℕ} (hp : ¬p.Prime) :
n.factorization p = 0 := by simp [factorization_eq_zero_iff, hp]
#align nat.factorization_eq_zero_of_non_prime Nat.factorization_eq_zero_of_non_prime
theorem factorization_eq_zero_of_not_dvd {n p : ℕ} (h : ¬p ∣ n) : n.factorization p = 0 := by
simp [factorization_eq_zero_iff, h]
#align nat.factorization_eq_zero_of_not_dvd Nat.factorization_eq_zero_of_not_dvd
theorem factorization_eq_zero_of_lt {n p : ℕ} (h : n < p) : n.factorization p = 0 :=
Finsupp.not_mem_support_iff.mp (mt le_of_mem_primeFactors (not_le_of_lt h))
#align nat.factorization_eq_zero_of_lt Nat.factorization_eq_zero_of_lt
@[simp]
theorem factorization_zero_right (n : ℕ) : n.factorization 0 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_zero
#align nat.factorization_zero_right Nat.factorization_zero_right
@[simp]
theorem factorization_one_right (n : ℕ) : n.factorization 1 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_one
#align nat.factorization_one_right Nat.factorization_one_right
theorem dvd_of_factorization_pos {n p : ℕ} (hn : n.factorization p ≠ 0) : p ∣ n :=
dvd_of_mem_factors <| mem_primeFactors_iff_mem_factors.1 <| mem_support_iff.2 hn
#align nat.dvd_of_factorization_pos Nat.dvd_of_factorization_pos
theorem Prime.factorization_pos_of_dvd {n p : ℕ} (hp : p.Prime) (hn : n ≠ 0) (h : p ∣ n) :
0 < n.factorization p := by
rwa [← factors_count_eq, count_pos_iff_mem, mem_factors_iff_dvd hn hp]
#align nat.prime.factorization_pos_of_dvd Nat.Prime.factorization_pos_of_dvd
theorem factorization_eq_zero_of_remainder {p r : ℕ} (i : ℕ) (hr : ¬p ∣ r) :
(p * i + r).factorization p = 0 := by
apply factorization_eq_zero_of_not_dvd
rwa [← Nat.dvd_add_iff_right (Dvd.intro i rfl)]
#align nat.factorization_eq_zero_of_remainder Nat.factorization_eq_zero_of_remainder
theorem factorization_eq_zero_iff_remainder {p r : ℕ} (i : ℕ) (pp : p.Prime) (hr0 : r ≠ 0) :
¬p ∣ r ↔ (p * i + r).factorization p = 0 := by
refine ⟨factorization_eq_zero_of_remainder i, fun h => ?_⟩
rw [factorization_eq_zero_iff] at h
contrapose! h
refine ⟨pp, ?_, ?_⟩
· rwa [← Nat.dvd_add_iff_right (dvd_mul_right p i)]
· contrapose! hr0
exact (add_eq_zero_iff.mp hr0).2
#align nat.factorization_eq_zero_iff_remainder Nat.factorization_eq_zero_iff_remainder
theorem factorization_eq_zero_iff' (n : ℕ) : n.factorization = 0 ↔ n = 0 ∨ n = 1 := by
rw [factorization_eq_factors_multiset n]
simp [factorization, AddEquiv.map_eq_zero_iff, Multiset.coe_eq_zero]
#align nat.factorization_eq_zero_iff' Nat.factorization_eq_zero_iff'
@[simp]
theorem factorization_mul {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a * b).factorization = a.factorization + b.factorization := by
ext p
simp only [add_apply, ← factors_count_eq, perm_iff_count.mp (perm_factors_mul ha hb) p,
count_append]
#align nat.factorization_mul Nat.factorization_mul
#align nat.factorization_mul_support Nat.primeFactors_mul
lemma prod_factorization_eq_prod_primeFactors {β : Type*} [CommMonoid β] (f : ℕ → ℕ → β) :
n.factorization.prod f = ∏ p ∈ n.primeFactors, f p (n.factorization p) := rfl
#align nat.prod_factorization_eq_prod_factors Nat.prod_factorization_eq_prod_primeFactors
lemma prod_primeFactors_prod_factorization {β : Type*} [CommMonoid β] (f : ℕ → β) :
∏ p ∈ n.primeFactors, f p = n.factorization.prod (fun p _ ↦ f p) := rfl
theorem factorization_prod {α : Type*} {S : Finset α} {g : α → ℕ} (hS : ∀ x ∈ S, g x ≠ 0) :
(S.prod g).factorization = S.sum fun x => (g x).factorization := by
classical
ext p
refine Finset.induction_on' S ?_ ?_
· simp
· intro x T hxS hTS hxT IH
have hT : T.prod g ≠ 0 := prod_ne_zero_iff.mpr fun x hx => hS x (hTS hx)
simp [prod_insert hxT, sum_insert hxT, ← IH, factorization_mul (hS x hxS) hT]
#align nat.factorization_prod Nat.factorization_prod
@[simp]
theorem factorization_pow (n k : ℕ) : factorization (n ^ k) = k • n.factorization := by
induction' k with k ih; · simp
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rw [Nat.pow_succ, mul_comm, factorization_mul hn (pow_ne_zero _ hn), ih,
add_smul, one_smul, add_comm]
#align nat.factorization_pow Nat.factorization_pow
@[simp]
protected theorem Prime.factorization {p : ℕ} (hp : Prime p) : p.factorization = single p 1 := by
ext q
rw [← factors_count_eq, factors_prime hp, single_apply, count_singleton', if_congr eq_comm] <;>
rfl
#align nat.prime.factorization Nat.Prime.factorization
@[simp]
theorem Prime.factorization_self {p : ℕ} (hp : Prime p) : p.factorization p = 1 := by simp [hp]
#align nat.prime.factorization_self Nat.Prime.factorization_self
theorem Prime.factorization_pow {p k : ℕ} (hp : Prime p) : (p ^ k).factorization = single p k := by
simp [hp]
#align nat.prime.factorization_pow Nat.Prime.factorization_pow
theorem eq_pow_of_factorization_eq_single {n p k : ℕ} (hn : n ≠ 0)
(h : n.factorization = Finsupp.single p k) : n = p ^ k := by
-- Porting note: explicitly added `Finsupp.prod_single_index`
rw [← Nat.factorization_prod_pow_eq_self hn, h, Finsupp.prod_single_index]
simp
#align nat.eq_pow_of_factorization_eq_single Nat.eq_pow_of_factorization_eq_single
theorem Prime.eq_of_factorization_pos {p q : ℕ} (hp : Prime p) (h : p.factorization q ≠ 0) :
p = q := by simpa [hp.factorization, single_apply] using h
#align nat.prime.eq_of_factorization_pos Nat.Prime.eq_of_factorization_pos
theorem prod_pow_factorization_eq_self {f : ℕ →₀ ℕ} (hf : ∀ p : ℕ, p ∈ f.support → Prime p) :
(f.prod (· ^ ·)).factorization = f := by
have h : ∀ x : ℕ, x ∈ f.support → x ^ f x ≠ 0 := fun p hp =>
pow_ne_zero _ (Prime.ne_zero (hf p hp))
simp only [Finsupp.prod, factorization_prod h]
conv =>
rhs
rw [(sum_single f).symm]
exact sum_congr rfl fun p hp => Prime.factorization_pow (hf p hp)
#align nat.prod_pow_factorization_eq_self Nat.prod_pow_factorization_eq_self
theorem eq_factorization_iff {n : ℕ} {f : ℕ →₀ ℕ} (hn : n ≠ 0) (hf : ∀ p ∈ f.support, Prime p) :
f = n.factorization ↔ f.prod (· ^ ·) = n :=
⟨fun h => by rw [h, factorization_prod_pow_eq_self hn], fun h => by
rw [← h, prod_pow_factorization_eq_self hf]⟩
#align nat.eq_factorization_iff Nat.eq_factorization_iff
def factorizationEquiv : ℕ+ ≃ { f : ℕ →₀ ℕ | ∀ p ∈ f.support, Prime p } where
toFun := fun ⟨n, _⟩ => ⟨n.factorization, fun _ => prime_of_mem_primeFactors⟩
invFun := fun ⟨f, hf⟩ =>
⟨f.prod _, prod_pow_pos_of_zero_not_mem_support fun H => not_prime_zero (hf 0 H)⟩
left_inv := fun ⟨_, hx⟩ => Subtype.ext <| factorization_prod_pow_eq_self hx.ne.symm
right_inv := fun ⟨_, hf⟩ => Subtype.ext <| prod_pow_factorization_eq_self hf
#align nat.factorization_equiv Nat.factorizationEquiv
theorem factorizationEquiv_apply (n : ℕ+) : (factorizationEquiv n).1 = n.1.factorization := by
cases n
rfl
#align nat.factorization_equiv_apply Nat.factorizationEquiv_apply
theorem factorizationEquiv_inv_apply {f : ℕ →₀ ℕ} (hf : ∀ p ∈ f.support, Prime p) :
(factorizationEquiv.symm ⟨f, hf⟩).1 = f.prod (· ^ ·) :=
rfl
#align nat.factorization_equiv_inv_apply Nat.factorizationEquiv_inv_apply
-- Porting note: Lean 4 thinks we need `HPow` without this
set_option quotPrecheck false in
notation "ord_proj[" p "] " n:arg => p ^ Nat.factorization n p
notation "ord_compl[" p "] " n:arg => n / ord_proj[p] n
@[simp]
theorem ord_proj_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ord_proj[p] n = 1 := by
simp [factorization_eq_zero_of_non_prime n hp]
#align nat.ord_proj_of_not_prime Nat.ord_proj_of_not_prime
@[simp]
theorem ord_compl_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ord_compl[p] n = n := by
simp [factorization_eq_zero_of_non_prime n hp]
#align nat.ord_compl_of_not_prime Nat.ord_compl_of_not_prime
theorem ord_proj_dvd (n p : ℕ) : ord_proj[p] n ∣ n := by
if hp : p.Prime then ?_ else simp [hp]
rw [← factors_count_eq]
apply dvd_of_factors_subperm (pow_ne_zero _ hp.ne_zero)
rw [hp.factors_pow, List.subperm_ext_iff]
intro q hq
simp [List.eq_of_mem_replicate hq]
#align nat.ord_proj_dvd Nat.ord_proj_dvd
theorem ord_compl_dvd (n p : ℕ) : ord_compl[p] n ∣ n :=
div_dvd_of_dvd (ord_proj_dvd n p)
#align nat.ord_compl_dvd Nat.ord_compl_dvd
theorem ord_proj_pos (n p : ℕ) : 0 < ord_proj[p] n := by
if pp : p.Prime then simp [pow_pos pp.pos] else simp [pp]
#align nat.ord_proj_pos Nat.ord_proj_pos
theorem ord_proj_le {n : ℕ} (p : ℕ) (hn : n ≠ 0) : ord_proj[p] n ≤ n :=
le_of_dvd hn.bot_lt (Nat.ord_proj_dvd n p)
#align nat.ord_proj_le Nat.ord_proj_le
theorem ord_compl_pos {n : ℕ} (p : ℕ) (hn : n ≠ 0) : 0 < ord_compl[p] n := by
if pp : p.Prime then
exact Nat.div_pos (ord_proj_le p hn) (ord_proj_pos n p)
else
simpa [Nat.factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
#align nat.ord_compl_pos Nat.ord_compl_pos
theorem ord_compl_le (n p : ℕ) : ord_compl[p] n ≤ n :=
Nat.div_le_self _ _
#align nat.ord_compl_le Nat.ord_compl_le
theorem ord_proj_mul_ord_compl_eq_self (n p : ℕ) : ord_proj[p] n * ord_compl[p] n = n :=
Nat.mul_div_cancel' (ord_proj_dvd n p)
#align nat.ord_proj_mul_ord_compl_eq_self Nat.ord_proj_mul_ord_compl_eq_self
theorem ord_proj_mul {a b : ℕ} (p : ℕ) (ha : a ≠ 0) (hb : b ≠ 0) :
ord_proj[p] (a * b) = ord_proj[p] a * ord_proj[p] b := by
simp [factorization_mul ha hb, pow_add]
#align nat.ord_proj_mul Nat.ord_proj_mul
theorem ord_compl_mul (a b p : ℕ) : ord_compl[p] (a * b) = ord_compl[p] a * ord_compl[p] b := by
if ha : a = 0 then simp [ha] else
if hb : b = 0 then simp [hb] else
simp only [ord_proj_mul p ha hb]
rw [div_mul_div_comm (ord_proj_dvd a p) (ord_proj_dvd b p)]
#align nat.ord_compl_mul Nat.ord_compl_mul
#align nat.dvd_of_mem_factorization Nat.dvd_of_mem_primeFactors
theorem factorization_lt {n : ℕ} (p : ℕ) (hn : n ≠ 0) : n.factorization p < n := by
by_cases pp : p.Prime
· exact (pow_lt_pow_iff_right pp.one_lt).1 <| (ord_proj_le p hn).trans_lt <|
lt_pow_self pp.one_lt _
· simpa only [factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
#align nat.factorization_lt Nat.factorization_lt
theorem factorization_le_of_le_pow {n p b : ℕ} (hb : n ≤ p ^ b) : n.factorization p ≤ b := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then
exact (pow_le_pow_iff_right pp.one_lt).1 ((ord_proj_le p hn).trans hb)
else
simp [factorization_eq_zero_of_non_prime n pp]
#align nat.factorization_le_of_le_pow Nat.factorization_le_of_le_pow
theorem factorization_le_iff_dvd {d n : ℕ} (hd : d ≠ 0) (hn : n ≠ 0) :
d.factorization ≤ n.factorization ↔ d ∣ n := by
constructor
· intro hdn
set K := n.factorization - d.factorization with hK
use K.prod (· ^ ·)
rw [← factorization_prod_pow_eq_self hn, ← factorization_prod_pow_eq_self hd,
← Finsupp.prod_add_index' pow_zero pow_add, hK, add_tsub_cancel_of_le hdn]
· rintro ⟨c, rfl⟩
rw [factorization_mul hd (right_ne_zero_of_mul hn)]
simp
#align nat.factorization_le_iff_dvd Nat.factorization_le_iff_dvd
theorem factorization_prime_le_iff_dvd {d n : ℕ} (hd : d ≠ 0) (hn : n ≠ 0) :
(∀ p : ℕ, p.Prime → d.factorization p ≤ n.factorization p) ↔ d ∣ n := by
rw [← factorization_le_iff_dvd hd hn]
refine ⟨fun h p => (em p.Prime).elim (h p) fun hp => ?_, fun h p _ => h p⟩
simp_rw [factorization_eq_zero_of_non_prime _ hp]
rfl
#align nat.factorization_prime_le_iff_dvd Nat.factorization_prime_le_iff_dvd
theorem pow_succ_factorization_not_dvd {n p : ℕ} (hn : n ≠ 0) (hp : p.Prime) :
¬p ^ (n.factorization p + 1) ∣ n := by
intro h
rw [← factorization_le_iff_dvd (pow_pos hp.pos _).ne' hn] at h
simpa [hp.factorization] using h p
#align nat.pow_succ_factorization_not_dvd Nat.pow_succ_factorization_not_dvd
theorem factorization_le_factorization_mul_left {a b : ℕ} (hb : b ≠ 0) :
a.factorization ≤ (a * b).factorization := by
rcases eq_or_ne a 0 with (rfl | ha)
· simp
rw [factorization_le_iff_dvd ha <| mul_ne_zero ha hb]
exact Dvd.intro b rfl
#align nat.factorization_le_factorization_mul_left Nat.factorization_le_factorization_mul_left
theorem factorization_le_factorization_mul_right {a b : ℕ} (ha : a ≠ 0) :
b.factorization ≤ (a * b).factorization := by
rw [mul_comm]
apply factorization_le_factorization_mul_left ha
#align nat.factorization_le_factorization_mul_right Nat.factorization_le_factorization_mul_right
theorem Prime.pow_dvd_iff_le_factorization {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ k ≤ n.factorization p := by
rw [← factorization_le_iff_dvd (pow_pos pp.pos k).ne' hn, pp.factorization_pow, single_le_iff]
#align nat.prime.pow_dvd_iff_le_factorization Nat.Prime.pow_dvd_iff_le_factorization
theorem Prime.pow_dvd_iff_dvd_ord_proj {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ p ^ k ∣ ord_proj[p] n := by
rw [pow_dvd_pow_iff_le_right pp.one_lt, pp.pow_dvd_iff_le_factorization hn]
#align nat.prime.pow_dvd_iff_dvd_ord_proj Nat.Prime.pow_dvd_iff_dvd_ord_proj
theorem Prime.dvd_iff_one_le_factorization {p n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ∣ n ↔ 1 ≤ n.factorization p :=
Iff.trans (by simp) (pp.pow_dvd_iff_le_factorization hn)
#align nat.prime.dvd_iff_one_le_factorization Nat.Prime.dvd_iff_one_le_factorization
theorem exists_factorization_lt_of_lt {a b : ℕ} (ha : a ≠ 0) (hab : a < b) :
∃ p : ℕ, a.factorization p < b.factorization p := by
have hb : b ≠ 0 := (ha.bot_lt.trans hab).ne'
contrapose! hab
rw [← Finsupp.le_def, factorization_le_iff_dvd hb ha] at hab
exact le_of_dvd ha.bot_lt hab
#align nat.exists_factorization_lt_of_lt Nat.exists_factorization_lt_of_lt
@[simp]
theorem factorization_div {d n : ℕ} (h : d ∣ n) :
(n / d).factorization = n.factorization - d.factorization := by
rcases eq_or_ne d 0 with (rfl | hd); · simp [zero_dvd_iff.mp h]
rcases eq_or_ne n 0 with (rfl | hn); · simp
apply add_left_injective d.factorization
simp only
rw [tsub_add_cancel_of_le <| (Nat.factorization_le_iff_dvd hd hn).mpr h, ←
Nat.factorization_mul (Nat.div_pos (Nat.le_of_dvd hn.bot_lt h) hd.bot_lt).ne' hd,
Nat.div_mul_cancel h]
#align nat.factorization_div Nat.factorization_div
theorem dvd_ord_proj_of_dvd {n p : ℕ} (hn : n ≠ 0) (pp : p.Prime) (h : p ∣ n) : p ∣ ord_proj[p] n :=
dvd_pow_self p (Prime.factorization_pos_of_dvd pp hn h).ne'
#align nat.dvd_ord_proj_of_dvd Nat.dvd_ord_proj_of_dvd
theorem not_dvd_ord_compl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : ¬p ∣ ord_compl[p] n := by
rw [Nat.Prime.dvd_iff_one_le_factorization hp (ord_compl_pos p hn).ne']
rw [Nat.factorization_div (Nat.ord_proj_dvd n p)]
simp [hp.factorization]
#align nat.not_dvd_ord_compl Nat.not_dvd_ord_compl
theorem coprime_ord_compl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : Coprime p (ord_compl[p] n) :=
(or_iff_left (not_dvd_ord_compl hp hn)).mp <| coprime_or_dvd_of_prime hp _
#align nat.coprime_ord_compl Nat.coprime_ord_compl
theorem factorization_ord_compl (n p : ℕ) :
(ord_compl[p] n).factorization = n.factorization.erase p := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then ?_ else
-- Porting note: needed to solve side goal explicitly
rw [Finsupp.erase_of_not_mem_support] <;> simp [pp]
ext q
rcases eq_or_ne q p with (rfl | hqp)
· simp only [Finsupp.erase_same, factorization_eq_zero_iff, not_dvd_ord_compl pp hn]
simp
· rw [Finsupp.erase_ne hqp, factorization_div (ord_proj_dvd n p)]
simp [pp.factorization, hqp.symm]
#align nat.factorization_ord_compl Nat.factorization_ord_compl
-- `ord_compl[p] n` is the largest divisor of `n` not divisible by `p`.
theorem dvd_ord_compl_of_dvd_not_dvd {p d n : ℕ} (hdn : d ∣ n) (hpd : ¬p ∣ d) :
d ∣ ord_compl[p] n := by
if hn0 : n = 0 then simp [hn0] else
if hd0 : d = 0 then simp [hd0] at hpd else
rw [← factorization_le_iff_dvd hd0 (ord_compl_pos p hn0).ne', factorization_ord_compl]
intro q
if hqp : q = p then
simp [factorization_eq_zero_iff, hqp, hpd]
else
simp [hqp, (factorization_le_iff_dvd hd0 hn0).2 hdn q]
#align nat.dvd_ord_compl_of_dvd_not_dvd Nat.dvd_ord_compl_of_dvd_not_dvd
theorem exists_eq_pow_mul_and_not_dvd {n : ℕ} (hn : n ≠ 0) (p : ℕ) (hp : p ≠ 1) :
∃ e n' : ℕ, ¬p ∣ n' ∧ n = p ^ e * n' :=
let ⟨a', h₁, h₂⟩ :=
multiplicity.exists_eq_pow_mul_and_not_dvd
(multiplicity.finite_nat_iff.mpr ⟨hp, Nat.pos_of_ne_zero hn⟩)
⟨_, a', h₂, h₁⟩
#align nat.exists_eq_pow_mul_and_not_dvd Nat.exists_eq_pow_mul_and_not_dvd
theorem dvd_iff_div_factorization_eq_tsub {d n : ℕ} (hd : d ≠ 0) (hdn : d ≤ n) :
d ∣ n ↔ (n / d).factorization = n.factorization - d.factorization := by
refine ⟨factorization_div, ?_⟩
rcases eq_or_lt_of_le hdn with (rfl | hd_lt_n); · simp
have h1 : n / d ≠ 0 := fun H => Nat.lt_asymm hd_lt_n ((Nat.div_eq_zero_iff hd.bot_lt).mp H)
intro h
rw [dvd_iff_le_div_mul n d]
by_contra h2
cases' exists_factorization_lt_of_lt (mul_ne_zero h1 hd) (not_le.mp h2) with p hp
rwa [factorization_mul h1 hd, add_apply, ← lt_tsub_iff_right, h, tsub_apply,
lt_self_iff_false] at hp
#align nat.dvd_iff_div_factorization_eq_tsub Nat.dvd_iff_div_factorization_eq_tsub
theorem ord_proj_dvd_ord_proj_of_dvd {a b : ℕ} (hb0 : b ≠ 0) (hab : a ∣ b) (p : ℕ) :
ord_proj[p] a ∣ ord_proj[p] b := by
rcases em' p.Prime with (pp | pp); · simp [pp]
rcases eq_or_ne a 0 with (rfl | ha0); · simp
rw [pow_dvd_pow_iff_le_right pp.one_lt]
exact (factorization_le_iff_dvd ha0 hb0).2 hab p
#align nat.ord_proj_dvd_ord_proj_of_dvd Nat.ord_proj_dvd_ord_proj_of_dvd
theorem ord_proj_dvd_ord_proj_iff_dvd {a b : ℕ} (ha0 : a ≠ 0) (hb0 : b ≠ 0) :
(∀ p : ℕ, ord_proj[p] a ∣ ord_proj[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ord_proj_dvd_ord_proj_of_dvd hb0 hab p⟩
rw [← factorization_le_iff_dvd ha0 hb0]
intro q
rcases le_or_lt q 1 with (hq_le | hq1)
· interval_cases q <;> simp
exact (pow_dvd_pow_iff_le_right hq1).1 (h q)
#align nat.ord_proj_dvd_ord_proj_iff_dvd Nat.ord_proj_dvd_ord_proj_iff_dvd
theorem ord_compl_dvd_ord_compl_of_dvd {a b : ℕ} (hab : a ∣ b) (p : ℕ) :
ord_compl[p] a ∣ ord_compl[p] b := by
rcases em' p.Prime with (pp | pp)
· simp [pp, hab]
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
rcases eq_or_ne a 0 with (rfl | ha0)
· cases hb0 (zero_dvd_iff.1 hab)
have ha := (Nat.div_pos (ord_proj_le p ha0) (ord_proj_pos a p)).ne'
have hb := (Nat.div_pos (ord_proj_le p hb0) (ord_proj_pos b p)).ne'
rw [← factorization_le_iff_dvd ha hb, factorization_ord_compl a p, factorization_ord_compl b p]
intro q
rcases eq_or_ne q p with (rfl | hqp)
· simp
simp_rw [erase_ne hqp]
exact (factorization_le_iff_dvd ha0 hb0).2 hab q
#align nat.ord_compl_dvd_ord_compl_of_dvd Nat.ord_compl_dvd_ord_compl_of_dvd
theorem ord_compl_dvd_ord_compl_iff_dvd (a b : ℕ) :
(∀ p : ℕ, ord_compl[p] a ∣ ord_compl[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ord_compl_dvd_ord_compl_of_dvd hab p⟩
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
if pa : a.Prime then ?_ else simpa [pa] using h a
if pb : b.Prime then ?_ else simpa [pb] using h b
rw [prime_dvd_prime_iff_eq pa pb]
by_contra hab
apply pa.ne_one
rw [← Nat.dvd_one, ← Nat.mul_dvd_mul_iff_left hb0.bot_lt, mul_one]
simpa [Prime.factorization_self pb, Prime.factorization pa, hab] using h b
#align nat.ord_compl_dvd_ord_compl_iff_dvd Nat.ord_compl_dvd_ord_compl_iff_dvd
theorem dvd_iff_prime_pow_dvd_dvd (n d : ℕ) :
d ∣ n ↔ ∀ p k : ℕ, Prime p → p ^ k ∣ d → p ^ k ∣ n := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rcases eq_or_ne d 0 with (rfl | hd)
· simp only [zero_dvd_iff, hn, false_iff_iff, not_forall]
exact ⟨2, n, prime_two, dvd_zero _, mt (le_of_dvd hn.bot_lt) (lt_two_pow n).not_le⟩
refine ⟨fun h p k _ hpkd => dvd_trans hpkd h, ?_⟩
rw [← factorization_prime_le_iff_dvd hd hn]
intro h p pp
simp_rw [← pp.pow_dvd_iff_le_factorization hn]
exact h p _ pp (ord_proj_dvd _ _)
#align nat.dvd_iff_prime_pow_dvd_dvd Nat.dvd_iff_prime_pow_dvd_dvd
theorem prod_primeFactors_dvd (n : ℕ) : ∏ p ∈ n.primeFactors, p ∣ n := by
by_cases hn : n = 0
· subst hn
simp
simpa [prod_factors hn] using Multiset.toFinset_prod_dvd_prod (n.factors : Multiset ℕ)
#align nat.prod_prime_factors_dvd Nat.prod_primeFactors_dvd
theorem factorization_gcd {a b : ℕ} (ha_pos : a ≠ 0) (hb_pos : b ≠ 0) :
(gcd a b).factorization = a.factorization ⊓ b.factorization := by
let dfac := a.factorization ⊓ b.factorization
let d := dfac.prod (· ^ ·)
have dfac_prime : ∀ p : ℕ, p ∈ dfac.support → Prime p := by
intro p hp
have : p ∈ a.factors ∧ p ∈ b.factors := by simpa [dfac] using hp
exact prime_of_mem_factors this.1
have h1 : d.factorization = dfac := prod_pow_factorization_eq_self dfac_prime
have hd_pos : d ≠ 0 := (factorizationEquiv.invFun ⟨dfac, dfac_prime⟩).2.ne'
suffices d = gcd a b by rwa [← this]
apply gcd_greatest
· rw [← factorization_le_iff_dvd hd_pos ha_pos, h1]
exact inf_le_left
· rw [← factorization_le_iff_dvd hd_pos hb_pos, h1]
exact inf_le_right
· intro e hea heb
rcases Decidable.eq_or_ne e 0 with (rfl | he_pos)
· simp only [zero_dvd_iff] at hea
contradiction
have hea' := (factorization_le_iff_dvd he_pos ha_pos).mpr hea
have heb' := (factorization_le_iff_dvd he_pos hb_pos).mpr heb
simp [dfac, ← factorization_le_iff_dvd he_pos hd_pos, h1, hea', heb']
#align nat.factorization_gcd Nat.factorization_gcd
theorem factorization_lcm {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a.lcm b).factorization = a.factorization ⊔ b.factorization := by
rw [← add_right_inj (a.gcd b).factorization, ←
factorization_mul (mt gcd_eq_zero_iff.1 fun h => ha h.1) (lcm_ne_zero ha hb), gcd_mul_lcm,
factorization_gcd ha hb, factorization_mul ha hb]
ext1
exact (min_add_max _ _).symm
#align nat.factorization_lcm Nat.factorization_lcm
def factorizationLCMLeft (a b : ℕ) : ℕ :=
(Nat.lcm a b).factorization.prod fun p n ↦
if b.factorization p ≤ a.factorization p then p ^ n else 1
def factorizationLCMRight (a b : ℕ) :=
(Nat.lcm a b).factorization.prod fun p n ↦
if b.factorization p ≤ a.factorization p then 1 else p ^ n
variable (a b)
@[simp]
lemma factorizationLCMLeft_zero_left : factorizationLCMLeft 0 b = 1 := by
simp [factorizationLCMLeft]
@[simp]
lemma factorizationLCMLeft_zero_right : factorizationLCMLeft a 0 = 1 := by
simp [factorizationLCMLeft]
@[simp]
lemma factorizationLCRight_zero_left : factorizationLCMRight 0 b = 1 := by
simp [factorizationLCMRight]
@[simp]
lemma factorizationLCMRight_zero_right : factorizationLCMRight a 0 = 1 := by
simp [factorizationLCMRight]
lemma factorizationLCMLeft_pos :
0 < factorizationLCMLeft a b := by
apply Nat.pos_of_ne_zero
rw [factorizationLCMLeft, Finsupp.prod_ne_zero_iff]
intro p _ H
by_cases h : b.factorization p ≤ a.factorization p
· simp only [h, reduceIte, pow_eq_zero_iff', ne_eq] at H
simpa [H.1] using H.2
· simp only [h, reduceIte, one_ne_zero] at H
lemma factorizationLCMRight_pos :
0 < factorizationLCMRight a b := by
apply Nat.pos_of_ne_zero
rw [factorizationLCMRight, Finsupp.prod_ne_zero_iff]
intro p _ H
by_cases h : b.factorization p ≤ a.factorization p
· simp only [h, reduceIte, pow_eq_zero_iff', ne_eq] at H
· simp only [h, ↓reduceIte, pow_eq_zero_iff', ne_eq] at H
simpa [H.1] using H.2
lemma coprime_factorizationLCMLeft_factorizationLCMRight :
(factorizationLCMLeft a b).Coprime (factorizationLCMRight a b) := by
rw [factorizationLCMLeft, factorizationLCMRight]
refine coprime_prod_left_iff.mpr fun p hp ↦ coprime_prod_right_iff.mpr fun q hq ↦ ?_
dsimp only; split_ifs with h h'
any_goals simp only [coprime_one_right_eq_true, coprime_one_left_eq_true]
refine coprime_pow_primes _ _ (prime_of_mem_primeFactors hp) (prime_of_mem_primeFactors hq) ?_
contrapose! h'; rwa [← h']
variable {a b}
lemma factorizationLCMLeft_mul_factorizationLCMRight (ha : a ≠ 0) (hb : b ≠ 0) :
(factorizationLCMLeft a b) * (factorizationLCMRight a b) = lcm a b := by
rw [← factorization_prod_pow_eq_self (lcm_ne_zero ha hb), factorizationLCMLeft,
factorizationLCMRight, ← prod_mul]
congr; ext p n; split_ifs <;> simp
variable (a b)
lemma factorizationLCMLeft_dvd_left : factorizationLCMLeft a b ∣ a := by
rcases eq_or_ne a 0 with rfl | ha
· simp only [dvd_zero]
rcases eq_or_ne b 0 with rfl | hb
· simp [factorizationLCMLeft]
nth_rewrite 2 [← factorization_prod_pow_eq_self ha]
rw [prod_of_support_subset (s := (lcm a b).factorization.support)]
· apply prod_dvd_prod_of_dvd; rintro p -; dsimp only; split_ifs with le
· rw [factorization_lcm ha hb]; apply pow_dvd_pow; exact sup_le le_rfl le
· apply one_dvd
· intro p hp; rw [mem_support_iff] at hp ⊢
rw [factorization_lcm ha hb]; exact (lt_sup_iff.mpr <| .inl <| Nat.pos_of_ne_zero hp).ne'
· intros; rw [pow_zero]
lemma factorizationLCMRight_dvd_right : factorizationLCMRight a b ∣ b := by
rcases eq_or_ne a 0 with rfl | ha
· simp [factorizationLCMRight]
rcases eq_or_ne b 0 with rfl | hb
· simp only [dvd_zero]
nth_rewrite 2 [← factorization_prod_pow_eq_self hb]
rw [prod_of_support_subset (s := (lcm a b).factorization.support)]
· apply Finset.prod_dvd_prod_of_dvd; rintro p -; dsimp only; split_ifs with le
· apply one_dvd
· rw [factorization_lcm ha hb]; apply pow_dvd_pow; exact sup_le (not_le.1 le).le le_rfl
· intro p hp; rw [mem_support_iff] at hp ⊢
rw [factorization_lcm ha hb]; exact (lt_sup_iff.mpr <| .inr <| Nat.pos_of_ne_zero hp).ne'
· intros; rw [pow_zero]
@[to_additive sum_primeFactors_gcd_add_sum_primeFactors_mul]
theorem prod_primeFactors_gcd_mul_prod_primeFactors_mul {β : Type*} [CommMonoid β] (m n : ℕ)
(f : ℕ → β) :
(m.gcd n).primeFactors.prod f * (m * n).primeFactors.prod f =
m.primeFactors.prod f * n.primeFactors.prod f := by
obtain rfl | hm₀ := eq_or_ne m 0
· simp
obtain rfl | hn₀ := eq_or_ne n 0
· simp
· rw [primeFactors_mul hm₀ hn₀, primeFactors_gcd hm₀ hn₀, mul_comm, Finset.prod_union_inter]
#align nat.prod_factors_gcd_mul_prod_factors_mul Nat.prod_primeFactors_gcd_mul_prod_primeFactors_mul
#align nat.sum_factors_gcd_add_sum_factors_mul Nat.sum_primeFactors_gcd_add_sum_primeFactors_mul
theorem setOf_pow_dvd_eq_Icc_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) :
{ i : ℕ | i ≠ 0 ∧ p ^ i ∣ n } = Set.Icc 1 (n.factorization p) := by
ext
simp [Nat.lt_succ_iff, one_le_iff_ne_zero, pp.pow_dvd_iff_le_factorization hn]
#align nat.set_of_pow_dvd_eq_Icc_factorization Nat.setOf_pow_dvd_eq_Icc_factorization
theorem Icc_factorization_eq_pow_dvd (n : ℕ) {p : ℕ} (pp : Prime p) :
Icc 1 (n.factorization p) = (Ico 1 n).filter fun i : ℕ => p ^ i ∣ n := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
ext x
simp only [mem_Icc, Finset.mem_filter, mem_Ico, and_assoc, and_congr_right_iff,
pp.pow_dvd_iff_le_factorization hn, iff_and_self]
exact fun _ H => lt_of_le_of_lt H (factorization_lt p hn)
#align nat.Icc_factorization_eq_pow_dvd Nat.Icc_factorization_eq_pow_dvd
theorem factorization_eq_card_pow_dvd (n : ℕ) {p : ℕ} (pp : p.Prime) :
n.factorization p = ((Ico 1 n).filter fun i => p ^ i ∣ n).card := by
simp [← Icc_factorization_eq_pow_dvd n pp]
#align nat.factorization_eq_card_pow_dvd Nat.factorization_eq_card_pow_dvd
theorem Ico_filter_pow_dvd_eq {n p b : ℕ} (pp : p.Prime) (hn : n ≠ 0) (hb : n ≤ p ^ b) :
((Ico 1 n).filter fun i => p ^ i ∣ n) = (Icc 1 b).filter fun i => p ^ i ∣ n := by
ext x
simp only [Finset.mem_filter, mem_Ico, mem_Icc, and_congr_left_iff, and_congr_right_iff]
rintro h1 -
exact iff_of_true (lt_of_pow_dvd_right hn pp.two_le h1) <|
(pow_le_pow_iff_right pp.one_lt).1 <| (le_of_dvd hn.bot_lt h1).trans hb
#align nat.Ico_filter_pow_dvd_eq Nat.Ico_filter_pow_dvd_eq
theorem factorization_mul_apply_of_coprime {p a b : ℕ} (hab : Coprime a b) :
(a * b).factorization p = a.factorization p + b.factorization p := by
simp only [← factors_count_eq, perm_iff_count.mp (perm_factors_mul_of_coprime hab), count_append]
#align nat.factorization_mul_apply_of_coprime Nat.factorization_mul_apply_of_coprime
| Mathlib/Data/Nat/Factorization/Basic.lean | 814 | 817 | theorem factorization_mul_of_coprime {a b : ℕ} (hab : Coprime a b) :
(a * b).factorization = a.factorization + b.factorization := by |
ext q
rw [Finsupp.add_apply, factorization_mul_apply_of_coprime hab]
|
import Mathlib.Topology.EMetricSpace.Paracompact
import Mathlib.Topology.Instances.ENNReal
import Mathlib.Analysis.Convex.PartitionOfUnity
#align_import topology.metric_space.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology ENNReal NNReal Filter Set Function TopologicalSpace
variable {ι X : Type*}
namespace EMetric
variable [EMetricSpace X] {K : ι → Set X} {U : ι → Set X}
theorem eventually_nhds_zero_forall_closedBall_subset (hK : ∀ i, IsClosed (K i))
(hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) (x : X) :
∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, ∀ i, p.2 ∈ K i → closedBall p.2 p.1 ⊆ U i := by
suffices ∀ i, x ∈ K i → ∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, closedBall p.2 p.1 ⊆ U i by
apply mp_mem ((eventually_all_finite (hfin.point_finite x)).2 this)
(mp_mem (@tendsto_snd ℝ≥0∞ _ (𝓝 0) _ _ (hfin.iInter_compl_mem_nhds hK x)) _)
apply univ_mem'
rintro ⟨r, y⟩ hxy hyU i hi
simp only [mem_iInter, mem_compl_iff, not_imp_not, mem_preimage] at hxy
exact hyU _ (hxy _ hi)
intro i hi
rcases nhds_basis_closed_eball.mem_iff.1 ((hU i).mem_nhds <| hKU i hi) with ⟨R, hR₀, hR⟩
rcases ENNReal.lt_iff_exists_nnreal_btwn.mp hR₀ with ⟨r, hr₀, hrR⟩
filter_upwards [prod_mem_prod (eventually_lt_nhds hr₀)
(closedBall_mem_nhds x (tsub_pos_iff_lt.2 hrR))] with p hp z hz
apply hR
calc
edist z x ≤ edist z p.2 + edist p.2 x := edist_triangle _ _ _
_ ≤ p.1 + (R - p.1) := add_le_add hz <| le_trans hp.2 <| tsub_le_tsub_left hp.1.out.le _
_ = R := add_tsub_cancel_of_le (lt_trans (by exact hp.1) hrR).le
#align emetric.eventually_nhds_zero_forall_closed_ball_subset EMetric.eventually_nhds_zero_forall_closedBall_subset
theorem exists_forall_closedBall_subset_aux₁ (hK : ∀ i, IsClosed (K i)) (hU : ∀ i, IsOpen (U i))
(hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) (x : X) :
∃ r : ℝ, ∀ᶠ y in 𝓝 x,
r ∈ Ioi (0 : ℝ) ∩ ENNReal.ofReal ⁻¹' ⋂ (i) (_ : y ∈ K i), { r | closedBall y r ⊆ U i } := by
have := (ENNReal.continuous_ofReal.tendsto' 0 0 ENNReal.ofReal_zero).eventually
(eventually_nhds_zero_forall_closedBall_subset hK hU hKU hfin x).curry
rcases this.exists_gt with ⟨r, hr0, hr⟩
refine ⟨r, hr.mono fun y hy => ⟨hr0, ?_⟩⟩
rwa [mem_preimage, mem_iInter₂]
#align emetric.exists_forall_closed_ball_subset_aux₁ EMetric.exists_forall_closedBall_subset_aux₁
theorem exists_forall_closedBall_subset_aux₂ (y : X) :
Convex ℝ
(Ioi (0 : ℝ) ∩ ENNReal.ofReal ⁻¹' ⋂ (i) (_ : y ∈ K i), { r | closedBall y r ⊆ U i }) :=
(convex_Ioi _).inter <| OrdConnected.convex <| OrdConnected.preimage_ennreal_ofReal <|
ordConnected_iInter fun i => ordConnected_iInter fun (_ : y ∈ K i) =>
ordConnected_setOf_closedBall_subset y (U i)
#align emetric.exists_forall_closed_ball_subset_aux₂ EMetric.exists_forall_closedBall_subset_aux₂
theorem exists_continuous_real_forall_closedBall_subset (hK : ∀ i, IsClosed (K i))
(hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) :
∃ δ : C(X, ℝ), (∀ x, 0 < δ x) ∧
∀ (i), ∀ x ∈ K i, closedBall x (ENNReal.ofReal <| δ x) ⊆ U i := by
simpa only [mem_inter_iff, forall_and, mem_preimage, mem_iInter, @forall_swap ι X] using
exists_continuous_forall_mem_convex_of_local_const exists_forall_closedBall_subset_aux₂
(exists_forall_closedBall_subset_aux₁ hK hU hKU hfin)
#align emetric.exists_continuous_real_forall_closed_ball_subset EMetric.exists_continuous_real_forall_closedBall_subset
| Mathlib/Topology/MetricSpace/PartitionOfUnity.lean | 100 | 106 | theorem exists_continuous_nnreal_forall_closedBall_subset (hK : ∀ i, IsClosed (K i))
(hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) :
∃ δ : C(X, ℝ≥0), (∀ x, 0 < δ x) ∧ ∀ (i), ∀ x ∈ K i, closedBall x (δ x) ⊆ U i := by |
rcases exists_continuous_real_forall_closedBall_subset hK hU hKU hfin with ⟨δ, hδ₀, hδ⟩
lift δ to C(X, ℝ≥0) using fun x => (hδ₀ x).le
refine ⟨δ, hδ₀, fun i x hi => ?_⟩
simpa only [← ENNReal.ofReal_coe_nnreal] using hδ i x hi
|
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]
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 _ _
#align continuous_within_at_update_same continuousWithinAt_update_same
@[simp]
theorem continuousAt_update_same [DecidableEq α] {f : α → β} {x : α} {y : β} :
ContinuousAt (Function.update f x y) x ↔ Tendsto f (𝓝[≠] x) (𝓝 y) := by
rw [← continuousWithinAt_univ, continuousWithinAt_update_same, compl_eq_univ_diff]
#align continuous_at_update_same continuousAt_update_same
theorem IsOpenMap.continuousOn_image_of_leftInvOn {f : α → β} {s : Set α}
(h : IsOpenMap (s.restrict f)) {finv : β → α} (hleft : LeftInvOn finv f s) :
ContinuousOn finv (f '' s) := by
refine continuousOn_iff'.2 fun t ht => ⟨f '' (t ∩ s), ?_, ?_⟩
· rw [← image_restrict]
exact h _ (ht.preimage continuous_subtype_val)
· rw [inter_eq_self_of_subset_left (image_subset f inter_subset_right), hleft.image_inter']
#align is_open_map.continuous_on_image_of_left_inv_on IsOpenMap.continuousOn_image_of_leftInvOn
theorem IsOpenMap.continuousOn_range_of_leftInverse {f : α → β} (hf : IsOpenMap f) {finv : β → α}
(hleft : Function.LeftInverse finv f) : ContinuousOn finv (range f) := by
rw [← image_univ]
exact (hf.restrict isOpen_univ).continuousOn_image_of_leftInvOn fun x _ => hleft x
#align is_open_map.continuous_on_range_of_left_inverse IsOpenMap.continuousOn_range_of_leftInverse
theorem ContinuousOn.congr_mono {f g : α → β} {s s₁ : Set α} (h : ContinuousOn f s)
(h' : EqOn g f s₁) (h₁ : s₁ ⊆ s) : ContinuousOn g s₁ := by
intro x hx
unfold ContinuousWithinAt
have A := (h x (h₁ hx)).mono h₁
unfold ContinuousWithinAt at A
rw [← h' hx] at A
exact A.congr' h'.eventuallyEq_nhdsWithin.symm
#align continuous_on.congr_mono ContinuousOn.congr_mono
theorem ContinuousOn.congr {f g : α → β} {s : Set α} (h : ContinuousOn f s) (h' : EqOn g f s) :
ContinuousOn g s :=
h.congr_mono h' (Subset.refl _)
#align continuous_on.congr ContinuousOn.congr
theorem continuousOn_congr {f g : α → β} {s : Set α} (h' : EqOn g f s) :
ContinuousOn g s ↔ ContinuousOn f s :=
⟨fun h => ContinuousOn.congr h h'.symm, fun h => h.congr h'⟩
#align continuous_on_congr continuousOn_congr
theorem ContinuousAt.continuousWithinAt {f : α → β} {s : Set α} {x : α} (h : ContinuousAt f x) :
ContinuousWithinAt f s x :=
ContinuousWithinAt.mono ((continuousWithinAt_univ f x).2 h) (subset_univ _)
#align continuous_at.continuous_within_at ContinuousAt.continuousWithinAt
theorem continuousWithinAt_iff_continuousAt {f : α → β} {s : Set α} {x : α} (h : s ∈ 𝓝 x) :
ContinuousWithinAt f s x ↔ ContinuousAt f x := by
rw [← univ_inter s, continuousWithinAt_inter h, continuousWithinAt_univ]
#align continuous_within_at_iff_continuous_at continuousWithinAt_iff_continuousAt
theorem ContinuousWithinAt.continuousAt {f : α → β} {s : Set α} {x : α}
(h : ContinuousWithinAt f s x) (hs : s ∈ 𝓝 x) : ContinuousAt f x :=
(continuousWithinAt_iff_continuousAt hs).mp h
#align continuous_within_at.continuous_at ContinuousWithinAt.continuousAt
theorem IsOpen.continuousOn_iff {f : α → β} {s : Set α} (hs : IsOpen s) :
ContinuousOn f s ↔ ∀ ⦃a⦄, a ∈ s → ContinuousAt f a :=
forall₂_congr fun _ => continuousWithinAt_iff_continuousAt ∘ hs.mem_nhds
#align is_open.continuous_on_iff IsOpen.continuousOn_iff
theorem ContinuousOn.continuousAt {f : α → β} {s : Set α} {x : α} (h : ContinuousOn f s)
(hx : s ∈ 𝓝 x) : ContinuousAt f x :=
(h x (mem_of_mem_nhds hx)).continuousAt hx
#align continuous_on.continuous_at ContinuousOn.continuousAt
theorem ContinuousAt.continuousOn {f : α → β} {s : Set α} (hcont : ∀ x ∈ s, ContinuousAt f x) :
ContinuousOn f s := fun x hx => (hcont x hx).continuousWithinAt
#align continuous_at.continuous_on ContinuousAt.continuousOn
theorem ContinuousWithinAt.comp {g : β → γ} {f : α → β} {s : Set α} {t : Set β} {x : α}
(hg : ContinuousWithinAt g t (f x)) (hf : ContinuousWithinAt f s x) (h : MapsTo f s t) :
ContinuousWithinAt (g ∘ f) s x :=
hg.tendsto.comp (hf.tendsto_nhdsWithin h)
#align continuous_within_at.comp ContinuousWithinAt.comp
theorem ContinuousWithinAt.comp' {g : β → γ} {f : α → β} {s : Set α} {t : Set β} {x : α}
(hg : ContinuousWithinAt g t (f x)) (hf : ContinuousWithinAt f s x) :
ContinuousWithinAt (g ∘ f) (s ∩ f ⁻¹' t) x :=
hg.comp (hf.mono inter_subset_left) inter_subset_right
#align continuous_within_at.comp' ContinuousWithinAt.comp'
theorem ContinuousAt.comp_continuousWithinAt {g : β → γ} {f : α → β} {s : Set α} {x : α}
(hg : ContinuousAt g (f x)) (hf : ContinuousWithinAt f s x) : ContinuousWithinAt (g ∘ f) s x :=
hg.continuousWithinAt.comp hf (mapsTo_univ _ _)
#align continuous_at.comp_continuous_within_at ContinuousAt.comp_continuousWithinAt
theorem ContinuousOn.comp {g : β → γ} {f : α → β} {s : Set α} {t : Set β} (hg : ContinuousOn g t)
(hf : ContinuousOn f s) (h : MapsTo f s t) : ContinuousOn (g ∘ f) s := fun x hx =>
ContinuousWithinAt.comp (hg _ (h hx)) (hf x hx) h
#align continuous_on.comp ContinuousOn.comp
@[fun_prop]
theorem ContinuousOn.comp'' {g : β → γ} {f : α → β} {s : Set α} {t : Set β} (hg : ContinuousOn g t)
(hf : ContinuousOn f s) (h : Set.MapsTo f s t) : ContinuousOn (fun x => g (f x)) s :=
ContinuousOn.comp hg hf h
theorem ContinuousOn.mono {f : α → β} {s t : Set α} (hf : ContinuousOn f s) (h : t ⊆ s) :
ContinuousOn f t := fun x hx => (hf x (h hx)).mono_left (nhdsWithin_mono _ h)
#align continuous_on.mono ContinuousOn.mono
theorem antitone_continuousOn {f : α → β} : Antitone (ContinuousOn f) := fun _s _t hst hf =>
hf.mono hst
#align antitone_continuous_on antitone_continuousOn
@[fun_prop]
theorem ContinuousOn.comp' {g : β → γ} {f : α → β} {s : Set α} {t : Set β} (hg : ContinuousOn g t)
(hf : ContinuousOn f s) : ContinuousOn (g ∘ f) (s ∩ f ⁻¹' t) :=
hg.comp (hf.mono inter_subset_left) inter_subset_right
#align continuous_on.comp' ContinuousOn.comp'
@[fun_prop]
theorem Continuous.continuousOn {f : α → β} {s : Set α} (h : Continuous f) : ContinuousOn f s := by
rw [continuous_iff_continuousOn_univ] at h
exact h.mono (subset_univ _)
#align continuous.continuous_on Continuous.continuousOn
theorem Continuous.continuousWithinAt {f : α → β} {s : Set α} {x : α} (h : Continuous f) :
ContinuousWithinAt f s x :=
h.continuousAt.continuousWithinAt
#align continuous.continuous_within_at Continuous.continuousWithinAt
theorem Continuous.comp_continuousOn {g : β → γ} {f : α → β} {s : Set α} (hg : Continuous g)
(hf : ContinuousOn f s) : ContinuousOn (g ∘ f) s :=
hg.continuousOn.comp hf (mapsTo_univ _ _)
#align continuous.comp_continuous_on Continuous.comp_continuousOn
@[fun_prop]
theorem Continuous.comp_continuousOn'
{α β γ : Type*} [TopologicalSpace α] [TopologicalSpace β] [TopologicalSpace γ] {g : β → γ}
{f : α → β} {s : Set α} (hg : Continuous g) (hf : ContinuousOn f s) :
ContinuousOn (fun x ↦ g (f x)) s :=
hg.comp_continuousOn hf
theorem ContinuousOn.comp_continuous {g : β → γ} {f : α → β} {s : Set β} (hg : ContinuousOn g s)
(hf : Continuous f) (hs : ∀ x, f x ∈ s) : Continuous (g ∘ f) := by
rw [continuous_iff_continuousOn_univ] at *
exact hg.comp hf fun x _ => hs x
#align continuous_on.comp_continuous ContinuousOn.comp_continuous
@[fun_prop]
theorem continuousOn_apply {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)]
(i : ι) (s) : ContinuousOn (fun p : ∀ i, π i => p i) s :=
Continuous.continuousOn (continuous_apply i)
theorem ContinuousWithinAt.preimage_mem_nhdsWithin {f : α → β} {x : α} {s : Set α} {t : Set β}
(h : ContinuousWithinAt f s x) (ht : t ∈ 𝓝 (f x)) : f ⁻¹' t ∈ 𝓝[s] x :=
h ht
#align continuous_within_at.preimage_mem_nhds_within ContinuousWithinAt.preimage_mem_nhdsWithin
theorem Set.LeftInvOn.map_nhdsWithin_eq {f : α → β} {g : β → α} {x : β} {s : Set β}
(h : LeftInvOn f g s) (hx : f (g x) = x) (hf : ContinuousWithinAt f (g '' s) (g x))
(hg : ContinuousWithinAt g s x) : map g (𝓝[s] x) = 𝓝[g '' s] g x := by
apply le_antisymm
· exact hg.tendsto_nhdsWithin (mapsTo_image _ _)
· have A : g ∘ f =ᶠ[𝓝[g '' s] g x] id :=
h.rightInvOn_image.eqOn.eventuallyEq_of_mem self_mem_nhdsWithin
refine le_map_of_right_inverse A ?_
simpa only [hx] using hf.tendsto_nhdsWithin (h.mapsTo (surjOn_image _ _))
#align set.left_inv_on.map_nhds_within_eq Set.LeftInvOn.map_nhdsWithin_eq
theorem Function.LeftInverse.map_nhds_eq {f : α → β} {g : β → α} {x : β}
(h : Function.LeftInverse f g) (hf : ContinuousWithinAt f (range g) (g x))
(hg : ContinuousAt g x) : map g (𝓝 x) = 𝓝[range g] g x := by
simpa only [nhdsWithin_univ, image_univ] using
(h.leftInvOn univ).map_nhdsWithin_eq (h x) (by rwa [image_univ]) hg.continuousWithinAt
#align function.left_inverse.map_nhds_eq Function.LeftInverse.map_nhds_eq
theorem ContinuousWithinAt.preimage_mem_nhdsWithin' {f : α → β} {x : α} {s : Set α} {t : Set β}
(h : ContinuousWithinAt f s x) (ht : t ∈ 𝓝[f '' s] f x) : f ⁻¹' t ∈ 𝓝[s] x :=
h.tendsto_nhdsWithin (mapsTo_image _ _) ht
#align continuous_within_at.preimage_mem_nhds_within' ContinuousWithinAt.preimage_mem_nhdsWithin'
theorem ContinuousWithinAt.preimage_mem_nhdsWithin''
{f : α → β} {x : α} {y : β} {s t : Set β}
(h : ContinuousWithinAt f (f ⁻¹' s) x) (ht : t ∈ 𝓝[s] y) (hxy : y = f x) :
f ⁻¹' t ∈ 𝓝[f ⁻¹' s] x := by
rw [hxy] at ht
exact h.preimage_mem_nhdsWithin' (nhdsWithin_mono _ (image_preimage_subset f s) ht)
theorem Filter.EventuallyEq.congr_continuousWithinAt {f g : α → β} {s : Set α} {x : α}
(h : f =ᶠ[𝓝[s] x] g) (hx : f x = g x) :
ContinuousWithinAt f s x ↔ ContinuousWithinAt g s x := by
rw [ContinuousWithinAt, hx, tendsto_congr' h, ContinuousWithinAt]
#align filter.eventually_eq.congr_continuous_within_at Filter.EventuallyEq.congr_continuousWithinAt
theorem ContinuousWithinAt.congr_of_eventuallyEq {f f₁ : α → β} {s : Set α} {x : α}
(h : ContinuousWithinAt f s x) (h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : f₁ x = f x) :
ContinuousWithinAt f₁ s x :=
(h₁.congr_continuousWithinAt hx).2 h
#align continuous_within_at.congr_of_eventually_eq ContinuousWithinAt.congr_of_eventuallyEq
theorem ContinuousWithinAt.congr {f f₁ : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x)
(h₁ : ∀ y ∈ s, f₁ y = f y) (hx : f₁ x = f x) : ContinuousWithinAt f₁ s x :=
h.congr_of_eventuallyEq (mem_of_superset self_mem_nhdsWithin h₁) hx
#align continuous_within_at.congr ContinuousWithinAt.congr
theorem ContinuousWithinAt.congr_mono {f g : α → β} {s s₁ : Set α} {x : α}
(h : ContinuousWithinAt f s x) (h' : EqOn g f s₁) (h₁ : s₁ ⊆ s) (hx : g x = f x) :
ContinuousWithinAt g s₁ x :=
(h.mono h₁).congr h' hx
#align continuous_within_at.congr_mono ContinuousWithinAt.congr_mono
@[fun_prop]
theorem continuousOn_const {s : Set α} {c : β} : ContinuousOn (fun _ => c) s :=
continuous_const.continuousOn
#align continuous_on_const continuousOn_const
theorem continuousWithinAt_const {b : β} {s : Set α} {x : α} :
ContinuousWithinAt (fun _ : α => b) s x :=
continuous_const.continuousWithinAt
#align continuous_within_at_const continuousWithinAt_const
theorem continuousOn_id {s : Set α} : ContinuousOn id s :=
continuous_id.continuousOn
#align continuous_on_id continuousOn_id
@[fun_prop]
theorem continuousOn_id' (s : Set α) : ContinuousOn (fun x : α => x) s := continuousOn_id
theorem continuousWithinAt_id {s : Set α} {x : α} : ContinuousWithinAt id s x :=
continuous_id.continuousWithinAt
#align continuous_within_at_id continuousWithinAt_id
theorem continuousOn_open_iff {f : α → β} {s : Set α} (hs : IsOpen s) :
ContinuousOn f s ↔ ∀ t, IsOpen t → IsOpen (s ∩ f ⁻¹' t) := by
rw [continuousOn_iff']
constructor
· intro h t ht
rcases h t ht with ⟨u, u_open, hu⟩
rw [inter_comm, hu]
apply IsOpen.inter u_open hs
· intro h t ht
refine ⟨s ∩ f ⁻¹' t, h t ht, ?_⟩
rw [@inter_comm _ s (f ⁻¹' t), inter_assoc, inter_self]
#align continuous_on_open_iff continuousOn_open_iff
theorem ContinuousOn.isOpen_inter_preimage {f : α → β} {s : Set α} {t : Set β}
(hf : ContinuousOn f s) (hs : IsOpen s) (ht : IsOpen t) : IsOpen (s ∩ f ⁻¹' t) :=
(continuousOn_open_iff hs).1 hf t ht
#align continuous_on.preimage_open_of_open ContinuousOn.isOpen_inter_preimage
theorem ContinuousOn.isOpen_preimage {f : α → β} {s : Set α} {t : Set β} (h : ContinuousOn f s)
(hs : IsOpen s) (hp : f ⁻¹' t ⊆ s) (ht : IsOpen t) : IsOpen (f ⁻¹' t) := by
convert (continuousOn_open_iff hs).mp h t ht
rw [inter_comm, inter_eq_self_of_subset_left hp]
#align continuous_on.is_open_preimage ContinuousOn.isOpen_preimage
theorem ContinuousOn.preimage_isClosed_of_isClosed {f : α → β} {s : Set α} {t : Set β}
(hf : ContinuousOn f s) (hs : IsClosed s) (ht : IsClosed t) : IsClosed (s ∩ f ⁻¹' t) := by
rcases continuousOn_iff_isClosed.1 hf t ht with ⟨u, hu⟩
rw [inter_comm, hu.2]
apply IsClosed.inter hu.1 hs
#align continuous_on.preimage_closed_of_closed ContinuousOn.preimage_isClosed_of_isClosed
theorem ContinuousOn.preimage_interior_subset_interior_preimage {f : α → β} {s : Set α} {t : Set β}
(hf : ContinuousOn f s) (hs : IsOpen s) : s ∩ f ⁻¹' interior t ⊆ s ∩ interior (f ⁻¹' t) :=
calc
s ∩ f ⁻¹' interior t ⊆ interior (s ∩ f ⁻¹' t) :=
interior_maximal (inter_subset_inter (Subset.refl _) (preimage_mono interior_subset))
(hf.isOpen_inter_preimage hs isOpen_interior)
_ = s ∩ interior (f ⁻¹' t) := by rw [interior_inter, hs.interior_eq]
#align continuous_on.preimage_interior_subset_interior_preimage ContinuousOn.preimage_interior_subset_interior_preimage
theorem continuousOn_of_locally_continuousOn {f : α → β} {s : Set α}
(h : ∀ x ∈ s, ∃ t, IsOpen t ∧ x ∈ t ∧ ContinuousOn f (s ∩ t)) : ContinuousOn f s := by
intro x xs
rcases h x xs with ⟨t, open_t, xt, ct⟩
have := ct x ⟨xs, xt⟩
rwa [ContinuousWithinAt, ← nhdsWithin_restrict _ xt open_t] at this
#align continuous_on_of_locally_continuous_on continuousOn_of_locally_continuousOn
-- Porting note (#10756): new lemma
theorem continuousOn_to_generateFrom_iff {s : Set α} {T : Set (Set β)} {f : α → β} :
@ContinuousOn α β _ (.generateFrom T) f s ↔ ∀ x ∈ s, ∀ t ∈ T, f x ∈ t → f ⁻¹' t ∈ 𝓝[s] x :=
forall₂_congr fun x _ => by
delta ContinuousWithinAt
simp only [TopologicalSpace.nhds_generateFrom, tendsto_iInf, tendsto_principal, mem_setOf_eq,
and_imp]
exact forall_congr' fun t => forall_swap
-- Porting note: dropped an unneeded assumption
theorem continuousOn_isOpen_of_generateFrom {β : Type*} {s : Set α} {T : Set (Set β)} {f : α → β}
(h : ∀ t ∈ T, IsOpen (s ∩ f ⁻¹' t)) :
@ContinuousOn α β _ (.generateFrom T) f s :=
continuousOn_to_generateFrom_iff.2 fun _x hx t ht hxt => mem_nhdsWithin.2
⟨_, h t ht, ⟨hx, hxt⟩, fun _y hy => hy.1.2⟩
#align continuous_on_open_of_generate_from continuousOn_isOpen_of_generateFromₓ
theorem ContinuousWithinAt.prod {f : α → β} {g : α → γ} {s : Set α} {x : α}
(hf : ContinuousWithinAt f s x) (hg : ContinuousWithinAt g s x) :
ContinuousWithinAt (fun x => (f x, g x)) s x :=
hf.prod_mk_nhds hg
#align continuous_within_at.prod ContinuousWithinAt.prod
@[fun_prop]
theorem ContinuousOn.prod {f : α → β} {g : α → γ} {s : Set α} (hf : ContinuousOn f s)
(hg : ContinuousOn g s) : ContinuousOn (fun x => (f x, g x)) s := fun x hx =>
ContinuousWithinAt.prod (hf x hx) (hg x hx)
#align continuous_on.prod ContinuousOn.prod
theorem ContinuousAt.comp₂_continuousWithinAt {f : β × γ → δ} {g : α → β} {h : α → γ} {x : α}
{s : Set α} (hf : ContinuousAt f (g x, h x)) (hg : ContinuousWithinAt g s x)
(hh : ContinuousWithinAt h s x) :
ContinuousWithinAt (fun x ↦ f (g x, h x)) s x :=
ContinuousAt.comp_continuousWithinAt hf (hg.prod hh)
theorem ContinuousAt.comp₂_continuousWithinAt_of_eq {f : β × γ → δ} {g : α → β}
{h : α → γ} {x : α} {s : Set α} {y : β × γ} (hf : ContinuousAt f y)
(hg : ContinuousWithinAt g s x) (hh : ContinuousWithinAt h s x) (e : (g x, h x) = y) :
ContinuousWithinAt (fun x ↦ f (g x, h x)) s x := by
rw [← e] at hf
exact hf.comp₂_continuousWithinAt hg hh
theorem Inducing.continuousWithinAt_iff {f : α → β} {g : β → γ} (hg : Inducing g) {s : Set α}
{x : α} : ContinuousWithinAt f s x ↔ ContinuousWithinAt (g ∘ f) s x := by
simp_rw [ContinuousWithinAt, Inducing.tendsto_nhds_iff hg]; rfl
#align inducing.continuous_within_at_iff Inducing.continuousWithinAt_iff
theorem Inducing.continuousOn_iff {f : α → β} {g : β → γ} (hg : Inducing g) {s : Set α} :
ContinuousOn f s ↔ ContinuousOn (g ∘ f) s := by
simp_rw [ContinuousOn, hg.continuousWithinAt_iff]
#align inducing.continuous_on_iff Inducing.continuousOn_iff
theorem Embedding.continuousOn_iff {f : α → β} {g : β → γ} (hg : Embedding g) {s : Set α} :
ContinuousOn f s ↔ ContinuousOn (g ∘ f) s :=
Inducing.continuousOn_iff hg.1
#align embedding.continuous_on_iff Embedding.continuousOn_iff
theorem Embedding.map_nhdsWithin_eq {f : α → β} (hf : Embedding f) (s : Set α) (x : α) :
map f (𝓝[s] x) = 𝓝[f '' s] f x := by
rw [nhdsWithin, Filter.map_inf hf.inj, hf.map_nhds_eq, map_principal, ← nhdsWithin_inter',
inter_eq_self_of_subset_right (image_subset_range _ _)]
#align embedding.map_nhds_within_eq Embedding.map_nhdsWithin_eq
theorem OpenEmbedding.map_nhdsWithin_preimage_eq {f : α → β} (hf : OpenEmbedding f) (s : Set β)
(x : α) : map f (𝓝[f ⁻¹' s] x) = 𝓝[s] f x := by
rw [hf.toEmbedding.map_nhdsWithin_eq, image_preimage_eq_inter_range]
apply nhdsWithin_eq_nhdsWithin (mem_range_self _) hf.isOpen_range
rw [inter_assoc, inter_self]
#align open_embedding.map_nhds_within_preimage_eq OpenEmbedding.map_nhdsWithin_preimage_eq
| Mathlib/Topology/ContinuousOn.lean | 1,188 | 1,192 | theorem continuousWithinAt_of_not_mem_closure {f : α → β} {s : Set α} {x : α} (hx : x ∉ closure s) :
ContinuousWithinAt f s x := by |
rw [mem_closure_iff_nhdsWithin_neBot, not_neBot] at hx
rw [ContinuousWithinAt, hx]
exact tendsto_bot
|
import Mathlib.SetTheory.Ordinal.Basic
import Mathlib.Data.Nat.SuccPred
#align_import set_theory.ordinal.arithmetic from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7"
assert_not_exists Field
assert_not_exists Module
noncomputable section
open Function Cardinal Set Equiv Order
open scoped Classical
open Cardinal Ordinal
universe u v w
namespace Ordinal
variable {α : Type*} {β : Type*} {γ : Type*} {r : α → α → Prop} {s : β → β → Prop}
{t : γ → γ → Prop}
@[simp]
theorem lift_add (a b : Ordinal.{v}) : lift.{u} (a + b) = lift.{u} a + lift.{u} b :=
Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ =>
Quotient.sound
⟨(RelIso.preimage Equiv.ulift _).trans
(RelIso.sumLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩
#align ordinal.lift_add Ordinal.lift_add
@[simp]
theorem lift_succ (a : Ordinal.{v}) : lift.{u} (succ a) = succ (lift.{u} a) := by
rw [← add_one_eq_succ, lift_add, lift_one]
rfl
#align ordinal.lift_succ Ordinal.lift_succ
instance add_contravariantClass_le : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· ≤ ·) :=
⟨fun a b c =>
inductionOn a fun α r hr =>
inductionOn b fun β₁ s₁ hs₁ =>
inductionOn c fun β₂ s₂ hs₂ ⟨f⟩ =>
⟨have fl : ∀ a, f (Sum.inl a) = Sum.inl a := fun a => by
simpa only [InitialSeg.trans_apply, InitialSeg.leAdd_apply] using
@InitialSeg.eq _ _ _ _ _
((InitialSeg.leAdd r s₁).trans f) (InitialSeg.leAdd r s₂) a
have : ∀ b, { b' // f (Sum.inr b) = Sum.inr b' } := by
intro b; cases e : f (Sum.inr b)
· rw [← fl] at e
have := f.inj' e
contradiction
· exact ⟨_, rfl⟩
let g (b) := (this b).1
have fr : ∀ b, f (Sum.inr b) = Sum.inr (g b) := fun b => (this b).2
⟨⟨⟨g, fun x y h => by
injection f.inj' (by rw [fr, fr, h] : f (Sum.inr x) = f (Sum.inr y))⟩,
@fun a b => by
-- Porting note:
-- `relEmbedding.coe_fn_to_embedding` & `initial_seg.coe_fn_to_rel_embedding`
-- → `InitialSeg.coe_coe_fn`
simpa only [Sum.lex_inr_inr, fr, InitialSeg.coe_coe_fn, Embedding.coeFn_mk] using
@RelEmbedding.map_rel_iff _ _ _ _ f.toRelEmbedding (Sum.inr a) (Sum.inr b)⟩,
fun a b H => by
rcases f.init (by rw [fr] <;> exact Sum.lex_inr_inr.2 H) with ⟨a' | a', h⟩
· rw [fl] at h
cases h
· rw [fr] at h
exact ⟨a', Sum.inr.inj h⟩⟩⟩⟩
#align ordinal.add_contravariant_class_le Ordinal.add_contravariantClass_le
theorem add_left_cancel (a) {b c : Ordinal} : a + b = a + c ↔ b = c := by
simp only [le_antisymm_iff, add_le_add_iff_left]
#align ordinal.add_left_cancel Ordinal.add_left_cancel
private theorem add_lt_add_iff_left' (a) {b c : Ordinal} : a + b < a + c ↔ b < c := by
rw [← not_le, ← not_le, add_le_add_iff_left]
instance add_covariantClass_lt : CovariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) :=
⟨fun a _b _c => (add_lt_add_iff_left' a).2⟩
#align ordinal.add_covariant_class_lt Ordinal.add_covariantClass_lt
instance add_contravariantClass_lt : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) :=
⟨fun a _b _c => (add_lt_add_iff_left' a).1⟩
#align ordinal.add_contravariant_class_lt Ordinal.add_contravariantClass_lt
instance add_swap_contravariantClass_lt :
ContravariantClass Ordinal.{u} Ordinal.{u} (swap (· + ·)) (· < ·) :=
⟨fun _a _b _c => lt_imp_lt_of_le_imp_le fun h => add_le_add_right h _⟩
#align ordinal.add_swap_contravariant_class_lt Ordinal.add_swap_contravariantClass_lt
theorem add_le_add_iff_right {a b : Ordinal} : ∀ n : ℕ, a + n ≤ b + n ↔ a ≤ b
| 0 => by simp
| n + 1 => by
simp only [natCast_succ, add_succ, add_succ, succ_le_succ_iff, add_le_add_iff_right]
#align ordinal.add_le_add_iff_right Ordinal.add_le_add_iff_right
theorem add_right_cancel {a b : Ordinal} (n : ℕ) : a + n = b + n ↔ a = b := by
simp only [le_antisymm_iff, add_le_add_iff_right]
#align ordinal.add_right_cancel Ordinal.add_right_cancel
theorem add_eq_zero_iff {a b : Ordinal} : a + b = 0 ↔ a = 0 ∧ b = 0 :=
inductionOn a fun α r _ =>
inductionOn b fun β s _ => by
simp_rw [← type_sum_lex, type_eq_zero_iff_isEmpty]
exact isEmpty_sum
#align ordinal.add_eq_zero_iff Ordinal.add_eq_zero_iff
theorem left_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : a = 0 :=
(add_eq_zero_iff.1 h).1
#align ordinal.left_eq_zero_of_add_eq_zero Ordinal.left_eq_zero_of_add_eq_zero
theorem right_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : b = 0 :=
(add_eq_zero_iff.1 h).2
#align ordinal.right_eq_zero_of_add_eq_zero Ordinal.right_eq_zero_of_add_eq_zero
def pred (o : Ordinal) : Ordinal :=
if h : ∃ a, o = succ a then Classical.choose h else o
#align ordinal.pred Ordinal.pred
@[simp]
theorem pred_succ (o) : pred (succ o) = o := by
have h : ∃ a, succ o = succ a := ⟨_, rfl⟩;
simpa only [pred, dif_pos h] using (succ_injective <| Classical.choose_spec h).symm
#align ordinal.pred_succ Ordinal.pred_succ
theorem pred_le_self (o) : pred o ≤ o :=
if h : ∃ a, o = succ a then by
let ⟨a, e⟩ := h
rw [e, pred_succ]; exact le_succ a
else by rw [pred, dif_neg h]
#align ordinal.pred_le_self Ordinal.pred_le_self
theorem pred_eq_iff_not_succ {o} : pred o = o ↔ ¬∃ a, o = succ a :=
⟨fun e ⟨a, e'⟩ => by rw [e', pred_succ] at e; exact (lt_succ a).ne e, fun h => dif_neg h⟩
#align ordinal.pred_eq_iff_not_succ Ordinal.pred_eq_iff_not_succ
theorem pred_eq_iff_not_succ' {o} : pred o = o ↔ ∀ a, o ≠ succ a := by
simpa using pred_eq_iff_not_succ
#align ordinal.pred_eq_iff_not_succ' Ordinal.pred_eq_iff_not_succ'
theorem pred_lt_iff_is_succ {o} : pred o < o ↔ ∃ a, o = succ a :=
Iff.trans (by simp only [le_antisymm_iff, pred_le_self, true_and_iff, not_le])
(iff_not_comm.1 pred_eq_iff_not_succ).symm
#align ordinal.pred_lt_iff_is_succ Ordinal.pred_lt_iff_is_succ
@[simp]
theorem pred_zero : pred 0 = 0 :=
pred_eq_iff_not_succ'.2 fun a => (succ_ne_zero a).symm
#align ordinal.pred_zero Ordinal.pred_zero
theorem succ_pred_iff_is_succ {o} : succ (pred o) = o ↔ ∃ a, o = succ a :=
⟨fun e => ⟨_, e.symm⟩, fun ⟨a, e⟩ => by simp only [e, pred_succ]⟩
#align ordinal.succ_pred_iff_is_succ Ordinal.succ_pred_iff_is_succ
theorem succ_lt_of_not_succ {o b : Ordinal} (h : ¬∃ a, o = succ a) : succ b < o ↔ b < o :=
⟨(lt_succ b).trans, fun l => lt_of_le_of_ne (succ_le_of_lt l) fun e => h ⟨_, e.symm⟩⟩
#align ordinal.succ_lt_of_not_succ Ordinal.succ_lt_of_not_succ
theorem lt_pred {a b} : a < pred b ↔ succ a < b :=
if h : ∃ a, b = succ a then by
let ⟨c, e⟩ := h
rw [e, pred_succ, succ_lt_succ_iff]
else by simp only [pred, dif_neg h, succ_lt_of_not_succ h]
#align ordinal.lt_pred Ordinal.lt_pred
theorem pred_le {a b} : pred a ≤ b ↔ a ≤ succ b :=
le_iff_le_iff_lt_iff_lt.2 lt_pred
#align ordinal.pred_le Ordinal.pred_le
@[simp]
theorem lift_is_succ {o : Ordinal.{v}} : (∃ a, lift.{u} o = succ a) ↔ ∃ a, o = succ a :=
⟨fun ⟨a, h⟩ =>
let ⟨b, e⟩ := lift_down <| show a ≤ lift.{u} o from le_of_lt <| h.symm ▸ lt_succ a
⟨b, lift_inj.1 <| by rw [h, ← e, lift_succ]⟩,
fun ⟨a, h⟩ => ⟨lift.{u} a, by simp only [h, lift_succ]⟩⟩
#align ordinal.lift_is_succ Ordinal.lift_is_succ
@[simp]
theorem lift_pred (o : Ordinal.{v}) : lift.{u} (pred o) = pred (lift.{u} o) :=
if h : ∃ a, o = succ a then by cases' h with a e; simp only [e, pred_succ, lift_succ]
else by rw [pred_eq_iff_not_succ.2 h, pred_eq_iff_not_succ.2 (mt lift_is_succ.1 h)]
#align ordinal.lift_pred Ordinal.lift_pred
def IsLimit (o : Ordinal) : Prop :=
o ≠ 0 ∧ ∀ a < o, succ a < o
#align ordinal.is_limit Ordinal.IsLimit
theorem IsLimit.isSuccLimit {o} (h : IsLimit o) : IsSuccLimit o := isSuccLimit_iff_succ_lt.mpr h.2
theorem IsLimit.succ_lt {o a : Ordinal} (h : IsLimit o) : a < o → succ a < o :=
h.2 a
#align ordinal.is_limit.succ_lt Ordinal.IsLimit.succ_lt
theorem isSuccLimit_zero : IsSuccLimit (0 : Ordinal) := isSuccLimit_bot
theorem not_zero_isLimit : ¬IsLimit 0
| ⟨h, _⟩ => h rfl
#align ordinal.not_zero_is_limit Ordinal.not_zero_isLimit
theorem not_succ_isLimit (o) : ¬IsLimit (succ o)
| ⟨_, h⟩ => lt_irrefl _ (h _ (lt_succ o))
#align ordinal.not_succ_is_limit Ordinal.not_succ_isLimit
theorem not_succ_of_isLimit {o} (h : IsLimit o) : ¬∃ a, o = succ a
| ⟨a, e⟩ => not_succ_isLimit a (e ▸ h)
#align ordinal.not_succ_of_is_limit Ordinal.not_succ_of_isLimit
theorem succ_lt_of_isLimit {o a : Ordinal} (h : IsLimit o) : succ a < o ↔ a < o :=
⟨(lt_succ a).trans, h.2 _⟩
#align ordinal.succ_lt_of_is_limit Ordinal.succ_lt_of_isLimit
theorem le_succ_of_isLimit {o} (h : IsLimit o) {a} : o ≤ succ a ↔ o ≤ a :=
le_iff_le_iff_lt_iff_lt.2 <| succ_lt_of_isLimit h
#align ordinal.le_succ_of_is_limit Ordinal.le_succ_of_isLimit
theorem limit_le {o} (h : IsLimit o) {a} : o ≤ a ↔ ∀ x < o, x ≤ a :=
⟨fun h _x l => l.le.trans h, fun H =>
(le_succ_of_isLimit h).1 <| le_of_not_lt fun hn => not_lt_of_le (H _ hn) (lt_succ a)⟩
#align ordinal.limit_le Ordinal.limit_le
theorem lt_limit {o} (h : IsLimit o) {a} : a < o ↔ ∃ x < o, a < x := by
-- Porting note: `bex_def` is required.
simpa only [not_forall₂, not_le, bex_def] using not_congr (@limit_le _ h a)
#align ordinal.lt_limit Ordinal.lt_limit
@[simp]
theorem lift_isLimit (o) : IsLimit (lift o) ↔ IsLimit o :=
and_congr (not_congr <| by simpa only [lift_zero] using @lift_inj o 0)
⟨fun H a h => lift_lt.1 <| by simpa only [lift_succ] using H _ (lift_lt.2 h), fun H a h => by
obtain ⟨a', rfl⟩ := lift_down h.le
rw [← lift_succ, lift_lt]
exact H a' (lift_lt.1 h)⟩
#align ordinal.lift_is_limit Ordinal.lift_isLimit
theorem IsLimit.pos {o : Ordinal} (h : IsLimit o) : 0 < o :=
lt_of_le_of_ne (Ordinal.zero_le _) h.1.symm
#align ordinal.is_limit.pos Ordinal.IsLimit.pos
theorem IsLimit.one_lt {o : Ordinal} (h : IsLimit o) : 1 < o := by
simpa only [succ_zero] using h.2 _ h.pos
#align ordinal.is_limit.one_lt Ordinal.IsLimit.one_lt
theorem IsLimit.nat_lt {o : Ordinal} (h : IsLimit o) : ∀ n : ℕ, (n : Ordinal) < o
| 0 => h.pos
| n + 1 => h.2 _ (IsLimit.nat_lt h n)
#align ordinal.is_limit.nat_lt Ordinal.IsLimit.nat_lt
theorem zero_or_succ_or_limit (o : Ordinal) : o = 0 ∨ (∃ a, o = succ a) ∨ IsLimit o :=
if o0 : o = 0 then Or.inl o0
else
if h : ∃ a, o = succ a then Or.inr (Or.inl h)
else Or.inr <| Or.inr ⟨o0, fun _a => (succ_lt_of_not_succ h).2⟩
#align ordinal.zero_or_succ_or_limit Ordinal.zero_or_succ_or_limit
@[elab_as_elim]
def limitRecOn {C : Ordinal → Sort*} (o : Ordinal) (H₁ : C 0) (H₂ : ∀ o, C o → C (succ o))
(H₃ : ∀ o, IsLimit o → (∀ o' < o, C o') → C o) : C o :=
SuccOrder.limitRecOn o (fun o _ ↦ H₂ o) fun o hl ↦
if h : o = 0 then fun _ ↦ h ▸ H₁ else H₃ o ⟨h, fun _ ↦ hl.succ_lt⟩
#align ordinal.limit_rec_on Ordinal.limitRecOn
@[simp]
theorem limitRecOn_zero {C} (H₁ H₂ H₃) : @limitRecOn C 0 H₁ H₂ H₃ = H₁ := by
rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ isSuccLimit_zero, dif_pos rfl]
#align ordinal.limit_rec_on_zero Ordinal.limitRecOn_zero
@[simp]
theorem limitRecOn_succ {C} (o H₁ H₂ H₃) :
@limitRecOn C (succ o) H₁ H₂ H₃ = H₂ o (@limitRecOn C o H₁ H₂ H₃) := by
simp_rw [limitRecOn, SuccOrder.limitRecOn_succ _ _ (not_isMax _)]
#align ordinal.limit_rec_on_succ Ordinal.limitRecOn_succ
@[simp]
theorem limitRecOn_limit {C} (o H₁ H₂ H₃ h) :
@limitRecOn C o H₁ H₂ H₃ = H₃ o h fun x _h => @limitRecOn C x H₁ H₂ H₃ := by
simp_rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ h.isSuccLimit, dif_neg h.1]
#align ordinal.limit_rec_on_limit Ordinal.limitRecOn_limit
instance orderTopOutSucc (o : Ordinal) : OrderTop (succ o).out.α :=
@OrderTop.mk _ _ (Top.mk _) le_enum_succ
#align ordinal.order_top_out_succ Ordinal.orderTopOutSucc
theorem enum_succ_eq_top {o : Ordinal} :
enum (· < ·) o
(by
rw [type_lt]
exact lt_succ o) =
(⊤ : (succ o).out.α) :=
rfl
#align ordinal.enum_succ_eq_top Ordinal.enum_succ_eq_top
theorem has_succ_of_type_succ_lt {α} {r : α → α → Prop} [wo : IsWellOrder α r]
(h : ∀ a < type r, succ a < type r) (x : α) : ∃ y, r x y := by
use enum r (succ (typein r x)) (h _ (typein_lt_type r x))
convert (enum_lt_enum (typein_lt_type r x)
(h _ (typein_lt_type r x))).mpr (lt_succ _); rw [enum_typein]
#align ordinal.has_succ_of_type_succ_lt Ordinal.has_succ_of_type_succ_lt
theorem out_no_max_of_succ_lt {o : Ordinal} (ho : ∀ a < o, succ a < o) : NoMaxOrder o.out.α :=
⟨has_succ_of_type_succ_lt (by rwa [type_lt])⟩
#align ordinal.out_no_max_of_succ_lt Ordinal.out_no_max_of_succ_lt
theorem bounded_singleton {r : α → α → Prop} [IsWellOrder α r] (hr : (type r).IsLimit) (x) :
Bounded r {x} := by
refine ⟨enum r (succ (typein r x)) (hr.2 _ (typein_lt_type r x)), ?_⟩
intro b hb
rw [mem_singleton_iff.1 hb]
nth_rw 1 [← enum_typein r x]
rw [@enum_lt_enum _ r]
apply lt_succ
#align ordinal.bounded_singleton Ordinal.bounded_singleton
-- Porting note: `· < ·` requires a type ascription for an `IsWellOrder` instance.
theorem type_subrel_lt (o : Ordinal.{u}) :
type (Subrel ((· < ·) : Ordinal → Ordinal → Prop) { o' : Ordinal | o' < o })
= Ordinal.lift.{u + 1} o := by
refine Quotient.inductionOn o ?_
rintro ⟨α, r, wo⟩; apply Quotient.sound
-- Porting note: `symm; refine' [term]` → `refine' [term].symm`
constructor; refine ((RelIso.preimage Equiv.ulift r).trans (enumIso r).symm).symm
#align ordinal.type_subrel_lt Ordinal.type_subrel_lt
theorem mk_initialSeg (o : Ordinal.{u}) :
#{ o' : Ordinal | o' < o } = Cardinal.lift.{u + 1} o.card := by
rw [lift_card, ← type_subrel_lt, card_type]
#align ordinal.mk_initial_seg Ordinal.mk_initialSeg
def IsNormal (f : Ordinal → Ordinal) : Prop :=
(∀ o, f o < f (succ o)) ∧ ∀ o, IsLimit o → ∀ a, f o ≤ a ↔ ∀ b < o, f b ≤ a
#align ordinal.is_normal Ordinal.IsNormal
theorem IsNormal.limit_le {f} (H : IsNormal f) :
∀ {o}, IsLimit o → ∀ {a}, f o ≤ a ↔ ∀ b < o, f b ≤ a :=
@H.2
#align ordinal.is_normal.limit_le Ordinal.IsNormal.limit_le
theorem IsNormal.limit_lt {f} (H : IsNormal f) {o} (h : IsLimit o) {a} :
a < f o ↔ ∃ b < o, a < f b :=
not_iff_not.1 <| by simpa only [exists_prop, not_exists, not_and, not_lt] using H.2 _ h a
#align ordinal.is_normal.limit_lt Ordinal.IsNormal.limit_lt
theorem IsNormal.strictMono {f} (H : IsNormal f) : StrictMono f := fun a b =>
limitRecOn b (Not.elim (not_lt_of_le <| Ordinal.zero_le _))
(fun _b IH h =>
(lt_or_eq_of_le (le_of_lt_succ h)).elim (fun h => (IH h).trans (H.1 _)) fun e => e ▸ H.1 _)
fun _b l _IH h => lt_of_lt_of_le (H.1 a) ((H.2 _ l _).1 le_rfl _ (l.2 _ h))
#align ordinal.is_normal.strict_mono Ordinal.IsNormal.strictMono
theorem IsNormal.monotone {f} (H : IsNormal f) : Monotone f :=
H.strictMono.monotone
#align ordinal.is_normal.monotone Ordinal.IsNormal.monotone
theorem isNormal_iff_strictMono_limit (f : Ordinal → Ordinal) :
IsNormal f ↔ StrictMono f ∧ ∀ o, IsLimit o → ∀ a, (∀ b < o, f b ≤ a) → f o ≤ a :=
⟨fun hf => ⟨hf.strictMono, fun a ha c => (hf.2 a ha c).2⟩, fun ⟨hs, hl⟩ =>
⟨fun a => hs (lt_succ a), fun a ha c =>
⟨fun hac _b hba => ((hs hba).trans_le hac).le, hl a ha c⟩⟩⟩
#align ordinal.is_normal_iff_strict_mono_limit Ordinal.isNormal_iff_strictMono_limit
theorem IsNormal.lt_iff {f} (H : IsNormal f) {a b} : f a < f b ↔ a < b :=
StrictMono.lt_iff_lt <| H.strictMono
#align ordinal.is_normal.lt_iff Ordinal.IsNormal.lt_iff
theorem IsNormal.le_iff {f} (H : IsNormal f) {a b} : f a ≤ f b ↔ a ≤ b :=
le_iff_le_iff_lt_iff_lt.2 H.lt_iff
#align ordinal.is_normal.le_iff Ordinal.IsNormal.le_iff
theorem IsNormal.inj {f} (H : IsNormal f) {a b} : f a = f b ↔ a = b := by
simp only [le_antisymm_iff, H.le_iff]
#align ordinal.is_normal.inj Ordinal.IsNormal.inj
theorem IsNormal.self_le {f} (H : IsNormal f) (a) : a ≤ f a :=
lt_wf.self_le_of_strictMono H.strictMono a
#align ordinal.is_normal.self_le Ordinal.IsNormal.self_le
theorem IsNormal.le_set {f o} (H : IsNormal f) (p : Set Ordinal) (p0 : p.Nonempty) (b)
(H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f a ≤ o :=
⟨fun h a pa => (H.le_iff.2 ((H₂ _).1 le_rfl _ pa)).trans h, fun h => by
-- Porting note: `refine'` didn't work well so `induction` is used
induction b using limitRecOn with
| H₁ =>
cases' p0 with x px
have := Ordinal.le_zero.1 ((H₂ _).1 (Ordinal.zero_le _) _ px)
rw [this] at px
exact h _ px
| H₂ S _ =>
rcases not_forall₂.1 (mt (H₂ S).2 <| (lt_succ S).not_le) with ⟨a, h₁, h₂⟩
exact (H.le_iff.2 <| succ_le_of_lt <| not_le.1 h₂).trans (h _ h₁)
| H₃ S L _ =>
refine (H.2 _ L _).2 fun a h' => ?_
rcases not_forall₂.1 (mt (H₂ a).2 h'.not_le) with ⟨b, h₁, h₂⟩
exact (H.le_iff.2 <| (not_le.1 h₂).le).trans (h _ h₁)⟩
#align ordinal.is_normal.le_set Ordinal.IsNormal.le_set
theorem IsNormal.le_set' {f o} (H : IsNormal f) (p : Set α) (p0 : p.Nonempty) (g : α → Ordinal) (b)
(H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, g a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f (g a) ≤ o := by
simpa [H₂] using H.le_set (g '' p) (p0.image g) b
#align ordinal.is_normal.le_set' Ordinal.IsNormal.le_set'
theorem IsNormal.refl : IsNormal id :=
⟨lt_succ, fun _o l _a => Ordinal.limit_le l⟩
#align ordinal.is_normal.refl Ordinal.IsNormal.refl
theorem IsNormal.trans {f g} (H₁ : IsNormal f) (H₂ : IsNormal g) : IsNormal (f ∘ g) :=
⟨fun _x => H₁.lt_iff.2 (H₂.1 _), fun o l _a =>
H₁.le_set' (· < o) ⟨0, l.pos⟩ g _ fun _c => H₂.2 _ l _⟩
#align ordinal.is_normal.trans Ordinal.IsNormal.trans
theorem IsNormal.isLimit {f} (H : IsNormal f) {o} (l : IsLimit o) : IsLimit (f o) :=
⟨ne_of_gt <| (Ordinal.zero_le _).trans_lt <| H.lt_iff.2 l.pos, fun _ h =>
let ⟨_b, h₁, h₂⟩ := (H.limit_lt l).1 h
(succ_le_of_lt h₂).trans_lt (H.lt_iff.2 h₁)⟩
#align ordinal.is_normal.is_limit Ordinal.IsNormal.isLimit
theorem IsNormal.le_iff_eq {f} (H : IsNormal f) {a} : f a ≤ a ↔ f a = a :=
(H.self_le a).le_iff_eq
#align ordinal.is_normal.le_iff_eq Ordinal.IsNormal.le_iff_eq
theorem add_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a + b ≤ c ↔ ∀ b' < b, a + b' ≤ c :=
⟨fun h b' l => (add_le_add_left l.le _).trans h, fun H =>
le_of_not_lt <| by
-- Porting note: `induction` tactics are required because of the parser bug.
induction a using inductionOn with
| H α r =>
induction b using inductionOn with
| H β s =>
intro l
suffices ∀ x : β, Sum.Lex r s (Sum.inr x) (enum _ _ l) by
-- Porting note: `revert` & `intro` is required because `cases'` doesn't replace
-- `enum _ _ l` in `this`.
revert this; cases' enum _ _ l with x x <;> intro this
· cases this (enum s 0 h.pos)
· exact irrefl _ (this _)
intro x
rw [← typein_lt_typein (Sum.Lex r s), typein_enum]
have := H _ (h.2 _ (typein_lt_type s x))
rw [add_succ, succ_le_iff] at this
refine
(RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this
· rcases a with ⟨a | b, h⟩
· exact Sum.inl a
· exact Sum.inr ⟨b, by cases h; assumption⟩
· rcases a with ⟨a | a, h₁⟩ <;> rcases b with ⟨b | b, h₂⟩ <;> cases h₁ <;> cases h₂ <;>
rintro ⟨⟩ <;> constructor <;> assumption⟩
#align ordinal.add_le_of_limit Ordinal.add_le_of_limit
theorem add_isNormal (a : Ordinal) : IsNormal (a + ·) :=
⟨fun b => (add_lt_add_iff_left a).2 (lt_succ b), fun _b l _c => add_le_of_limit l⟩
#align ordinal.add_is_normal Ordinal.add_isNormal
theorem add_isLimit (a) {b} : IsLimit b → IsLimit (a + b) :=
(add_isNormal a).isLimit
#align ordinal.add_is_limit Ordinal.add_isLimit
alias IsLimit.add := add_isLimit
#align ordinal.is_limit.add Ordinal.IsLimit.add
theorem sub_nonempty {a b : Ordinal} : { o | a ≤ b + o }.Nonempty :=
⟨a, le_add_left _ _⟩
#align ordinal.sub_nonempty Ordinal.sub_nonempty
instance sub : Sub Ordinal :=
⟨fun a b => sInf { o | a ≤ b + o }⟩
theorem le_add_sub (a b : Ordinal) : a ≤ b + (a - b) :=
csInf_mem sub_nonempty
#align ordinal.le_add_sub Ordinal.le_add_sub
theorem sub_le {a b c : Ordinal} : a - b ≤ c ↔ a ≤ b + c :=
⟨fun h => (le_add_sub a b).trans (add_le_add_left h _), fun h => csInf_le' h⟩
#align ordinal.sub_le Ordinal.sub_le
theorem lt_sub {a b c : Ordinal} : a < b - c ↔ c + a < b :=
lt_iff_lt_of_le_iff_le sub_le
#align ordinal.lt_sub Ordinal.lt_sub
theorem add_sub_cancel (a b : Ordinal) : a + b - a = b :=
le_antisymm (sub_le.2 <| le_rfl) ((add_le_add_iff_left a).1 <| le_add_sub _ _)
#align ordinal.add_sub_cancel Ordinal.add_sub_cancel
theorem sub_eq_of_add_eq {a b c : Ordinal} (h : a + b = c) : c - a = b :=
h ▸ add_sub_cancel _ _
#align ordinal.sub_eq_of_add_eq Ordinal.sub_eq_of_add_eq
theorem sub_le_self (a b : Ordinal) : a - b ≤ a :=
sub_le.2 <| le_add_left _ _
#align ordinal.sub_le_self Ordinal.sub_le_self
protected theorem add_sub_cancel_of_le {a b : Ordinal} (h : b ≤ a) : b + (a - b) = a :=
(le_add_sub a b).antisymm'
(by
rcases zero_or_succ_or_limit (a - b) with (e | ⟨c, e⟩ | l)
· simp only [e, add_zero, h]
· rw [e, add_succ, succ_le_iff, ← lt_sub, e]
exact lt_succ c
· exact (add_le_of_limit l).2 fun c l => (lt_sub.1 l).le)
#align ordinal.add_sub_cancel_of_le Ordinal.add_sub_cancel_of_le
theorem le_sub_of_le {a b c : Ordinal} (h : b ≤ a) : c ≤ a - b ↔ b + c ≤ a := by
rw [← add_le_add_iff_left b, Ordinal.add_sub_cancel_of_le h]
#align ordinal.le_sub_of_le Ordinal.le_sub_of_le
theorem sub_lt_of_le {a b c : Ordinal} (h : b ≤ a) : a - b < c ↔ a < b + c :=
lt_iff_lt_of_le_iff_le (le_sub_of_le h)
#align ordinal.sub_lt_of_le Ordinal.sub_lt_of_le
instance existsAddOfLE : ExistsAddOfLE Ordinal :=
⟨fun h => ⟨_, (Ordinal.add_sub_cancel_of_le h).symm⟩⟩
@[simp]
theorem sub_zero (a : Ordinal) : a - 0 = a := by simpa only [zero_add] using add_sub_cancel 0 a
#align ordinal.sub_zero Ordinal.sub_zero
@[simp]
theorem zero_sub (a : Ordinal) : 0 - a = 0 := by rw [← Ordinal.le_zero]; apply sub_le_self
#align ordinal.zero_sub Ordinal.zero_sub
@[simp]
theorem sub_self (a : Ordinal) : a - a = 0 := by simpa only [add_zero] using add_sub_cancel a 0
#align ordinal.sub_self Ordinal.sub_self
protected theorem sub_eq_zero_iff_le {a b : Ordinal} : a - b = 0 ↔ a ≤ b :=
⟨fun h => by simpa only [h, add_zero] using le_add_sub a b, fun h => by
rwa [← Ordinal.le_zero, sub_le, add_zero]⟩
#align ordinal.sub_eq_zero_iff_le Ordinal.sub_eq_zero_iff_le
theorem sub_sub (a b c : Ordinal) : a - b - c = a - (b + c) :=
eq_of_forall_ge_iff fun d => by rw [sub_le, sub_le, sub_le, add_assoc]
#align ordinal.sub_sub Ordinal.sub_sub
@[simp]
theorem add_sub_add_cancel (a b c : Ordinal) : a + b - (a + c) = b - c := by
rw [← sub_sub, add_sub_cancel]
#align ordinal.add_sub_add_cancel Ordinal.add_sub_add_cancel
theorem sub_isLimit {a b} (l : IsLimit a) (h : b < a) : IsLimit (a - b) :=
⟨ne_of_gt <| lt_sub.2 <| by rwa [add_zero], fun c h => by
rw [lt_sub, add_succ]; exact l.2 _ (lt_sub.1 h)⟩
#align ordinal.sub_is_limit Ordinal.sub_isLimit
-- @[simp] -- Porting note (#10618): simp can prove this
theorem one_add_omega : 1 + ω = ω := by
refine le_antisymm ?_ (le_add_left _ _)
rw [omega, ← lift_one.{_, 0}, ← lift_add, lift_le, ← type_unit, ← type_sum_lex]
refine ⟨RelEmbedding.collapse (RelEmbedding.ofMonotone ?_ ?_)⟩
· apply Sum.rec
· exact fun _ => 0
· exact Nat.succ
· intro a b
cases a <;> cases b <;> intro H <;> cases' H with _ _ H _ _ H <;>
[exact H.elim; exact Nat.succ_pos _; exact Nat.succ_lt_succ H]
#align ordinal.one_add_omega Ordinal.one_add_omega
@[simp]
theorem one_add_of_omega_le {o} (h : ω ≤ o) : 1 + o = o := by
rw [← Ordinal.add_sub_cancel_of_le h, ← add_assoc, one_add_omega]
#align ordinal.one_add_of_omega_le Ordinal.one_add_of_omega_le
instance monoid : Monoid Ordinal.{u} where
mul a b :=
Quotient.liftOn₂ a b
(fun ⟨α, r, wo⟩ ⟨β, s, wo'⟩ => ⟦⟨β × α, Prod.Lex s r, inferInstance⟩⟧ :
WellOrder → WellOrder → Ordinal)
fun ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩ =>
Quot.sound ⟨RelIso.prodLexCongr g f⟩
one := 1
mul_assoc a b c :=
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ =>
Eq.symm <|
Quotient.sound
⟨⟨prodAssoc _ _ _, @fun a b => by
rcases a with ⟨⟨a₁, a₂⟩, a₃⟩
rcases b with ⟨⟨b₁, b₂⟩, b₃⟩
simp [Prod.lex_def, and_or_left, or_assoc, and_assoc]⟩⟩
mul_one a :=
inductionOn a fun α r _ =>
Quotient.sound
⟨⟨punitProd _, @fun a b => by
rcases a with ⟨⟨⟨⟩⟩, a⟩; rcases b with ⟨⟨⟨⟩⟩, b⟩
simp only [Prod.lex_def, EmptyRelation, false_or_iff]
simp only [eq_self_iff_true, true_and_iff]
rfl⟩⟩
one_mul a :=
inductionOn a fun α r _ =>
Quotient.sound
⟨⟨prodPUnit _, @fun a b => by
rcases a with ⟨a, ⟨⟨⟩⟩⟩; rcases b with ⟨b, ⟨⟨⟩⟩⟩
simp only [Prod.lex_def, EmptyRelation, and_false_iff, or_false_iff]
rfl⟩⟩
@[simp]
theorem type_prod_lex {α β : Type u} (r : α → α → Prop) (s : β → β → Prop) [IsWellOrder α r]
[IsWellOrder β s] : type (Prod.Lex s r) = type r * type s :=
rfl
#align ordinal.type_prod_lex Ordinal.type_prod_lex
private theorem mul_eq_zero' {a b : Ordinal} : a * b = 0 ↔ a = 0 ∨ b = 0 :=
inductionOn a fun α _ _ =>
inductionOn b fun β _ _ => by
simp_rw [← type_prod_lex, type_eq_zero_iff_isEmpty]
rw [or_comm]
exact isEmpty_prod
instance monoidWithZero : MonoidWithZero Ordinal :=
{ Ordinal.monoid with
zero := 0
mul_zero := fun _a => mul_eq_zero'.2 <| Or.inr rfl
zero_mul := fun _a => mul_eq_zero'.2 <| Or.inl rfl }
instance noZeroDivisors : NoZeroDivisors Ordinal :=
⟨fun {_ _} => mul_eq_zero'.1⟩
@[simp]
theorem lift_mul (a b : Ordinal.{v}) : lift.{u} (a * b) = lift.{u} a * lift.{u} b :=
Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ =>
Quotient.sound
⟨(RelIso.preimage Equiv.ulift _).trans
(RelIso.prodLexCongr (RelIso.preimage Equiv.ulift _)
(RelIso.preimage Equiv.ulift _)).symm⟩
#align ordinal.lift_mul Ordinal.lift_mul
@[simp]
theorem card_mul (a b) : card (a * b) = card a * card b :=
Quotient.inductionOn₂ a b fun ⟨α, _r, _⟩ ⟨β, _s, _⟩ => mul_comm #β #α
#align ordinal.card_mul Ordinal.card_mul
instance leftDistribClass : LeftDistribClass Ordinal.{u} :=
⟨fun a b c =>
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ =>
Quotient.sound
⟨⟨sumProdDistrib _ _ _, by
rintro ⟨a₁ | a₁, a₂⟩ ⟨b₁ | b₁, b₂⟩ <;>
simp only [Prod.lex_def, Sum.lex_inl_inl, Sum.Lex.sep, Sum.lex_inr_inl,
Sum.lex_inr_inr, sumProdDistrib_apply_left, sumProdDistrib_apply_right] <;>
-- Porting note: `Sum.inr.inj_iff` is required.
simp only [Sum.inl.inj_iff, Sum.inr.inj_iff,
true_or_iff, false_and_iff, false_or_iff]⟩⟩⟩
theorem mul_succ (a b : Ordinal) : a * succ b = a * b + a :=
mul_add_one a b
#align ordinal.mul_succ Ordinal.mul_succ
instance mul_covariantClass_le : CovariantClass Ordinal.{u} Ordinal.{u} (· * ·) (· ≤ ·) :=
⟨fun c a b =>
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by
refine
(RelEmbedding.ofMonotone (fun a : α × γ => (f a.1, a.2)) fun a b h => ?_).ordinal_type_le
cases' h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h'
· exact Prod.Lex.left _ _ (f.toRelEmbedding.map_rel_iff.2 h')
· exact Prod.Lex.right _ h'⟩
#align ordinal.mul_covariant_class_le Ordinal.mul_covariantClass_le
instance mul_swap_covariantClass_le :
CovariantClass Ordinal.{u} Ordinal.{u} (swap (· * ·)) (· ≤ ·) :=
⟨fun c a b =>
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by
refine
(RelEmbedding.ofMonotone (fun a : γ × α => (a.1, f a.2)) fun a b h => ?_).ordinal_type_le
cases' h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h'
· exact Prod.Lex.left _ _ h'
· exact Prod.Lex.right _ (f.toRelEmbedding.map_rel_iff.2 h')⟩
#align ordinal.mul_swap_covariant_class_le Ordinal.mul_swap_covariantClass_le
theorem le_mul_left (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ a * b := by
convert mul_le_mul_left' (one_le_iff_pos.2 hb) a
rw [mul_one a]
#align ordinal.le_mul_left Ordinal.le_mul_left
theorem le_mul_right (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ b * a := by
convert mul_le_mul_right' (one_le_iff_pos.2 hb) a
rw [one_mul a]
#align ordinal.le_mul_right Ordinal.le_mul_right
private theorem mul_le_of_limit_aux {α β r s} [IsWellOrder α r] [IsWellOrder β s] {c}
(h : IsLimit (type s)) (H : ∀ b' < type s, type r * b' ≤ c) (l : c < type r * type s) :
False := by
suffices ∀ a b, Prod.Lex s r (b, a) (enum _ _ l) by
cases' enum _ _ l with b a
exact irrefl _ (this _ _)
intro a b
rw [← typein_lt_typein (Prod.Lex s r), typein_enum]
have := H _ (h.2 _ (typein_lt_type s b))
rw [mul_succ] at this
have := ((add_lt_add_iff_left _).2 (typein_lt_type _ a)).trans_le this
refine (RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this
· rcases a with ⟨⟨b', a'⟩, h⟩
by_cases e : b = b'
· refine Sum.inr ⟨a', ?_⟩
subst e
cases' h with _ _ _ _ h _ _ _ h
· exact (irrefl _ h).elim
· exact h
· refine Sum.inl (⟨b', ?_⟩, a')
cases' h with _ _ _ _ h _ _ _ h
· exact h
· exact (e rfl).elim
· rcases a with ⟨⟨b₁, a₁⟩, h₁⟩
rcases b with ⟨⟨b₂, a₂⟩, h₂⟩
intro h
by_cases e₁ : b = b₁ <;> by_cases e₂ : b = b₂
· substs b₁ b₂
simpa only [subrel_val, Prod.lex_def, @irrefl _ s _ b, true_and_iff, false_or_iff,
eq_self_iff_true, dif_pos, Sum.lex_inr_inr] using h
· subst b₁
simp only [subrel_val, Prod.lex_def, e₂, Prod.lex_def, dif_pos, subrel_val, eq_self_iff_true,
or_false_iff, dif_neg, not_false_iff, Sum.lex_inr_inl, false_and_iff] at h ⊢
cases' h₂ with _ _ _ _ h₂_h h₂_h <;> [exact asymm h h₂_h; exact e₂ rfl]
-- Porting note: `cc` hadn't ported yet.
· simp [e₂, dif_neg e₁, show b₂ ≠ b₁ from e₂ ▸ e₁]
· simpa only [dif_neg e₁, dif_neg e₂, Prod.lex_def, subrel_val, Subtype.mk_eq_mk,
Sum.lex_inl_inl] using h
theorem mul_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a * b ≤ c ↔ ∀ b' < b, a * b' ≤ c :=
⟨fun h b' l => (mul_le_mul_left' l.le _).trans h, fun H =>
-- Porting note: `induction` tactics are required because of the parser bug.
le_of_not_lt <| by
induction a using inductionOn with
| H α r =>
induction b using inductionOn with
| H β s =>
exact mul_le_of_limit_aux h H⟩
#align ordinal.mul_le_of_limit Ordinal.mul_le_of_limit
theorem mul_isNormal {a : Ordinal} (h : 0 < a) : IsNormal (a * ·) :=
-- Porting note(#12129): additional beta reduction needed
⟨fun b => by
beta_reduce
rw [mul_succ]
simpa only [add_zero] using (add_lt_add_iff_left (a * b)).2 h,
fun b l c => mul_le_of_limit l⟩
#align ordinal.mul_is_normal Ordinal.mul_isNormal
theorem lt_mul_of_limit {a b c : Ordinal} (h : IsLimit c) : a < b * c ↔ ∃ c' < c, a < b * c' := by
-- Porting note: `bex_def` is required.
simpa only [not_forall₂, not_le, bex_def] using not_congr (@mul_le_of_limit b c a h)
#align ordinal.lt_mul_of_limit Ordinal.lt_mul_of_limit
theorem mul_lt_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b < a * c ↔ b < c :=
(mul_isNormal a0).lt_iff
#align ordinal.mul_lt_mul_iff_left Ordinal.mul_lt_mul_iff_left
theorem mul_le_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b ≤ a * c ↔ b ≤ c :=
(mul_isNormal a0).le_iff
#align ordinal.mul_le_mul_iff_left Ordinal.mul_le_mul_iff_left
theorem mul_lt_mul_of_pos_left {a b c : Ordinal} (h : a < b) (c0 : 0 < c) : c * a < c * b :=
(mul_lt_mul_iff_left c0).2 h
#align ordinal.mul_lt_mul_of_pos_left Ordinal.mul_lt_mul_of_pos_left
theorem mul_pos {a b : Ordinal} (h₁ : 0 < a) (h₂ : 0 < b) : 0 < a * b := by
simpa only [mul_zero] using mul_lt_mul_of_pos_left h₂ h₁
#align ordinal.mul_pos Ordinal.mul_pos
theorem mul_ne_zero {a b : Ordinal} : a ≠ 0 → b ≠ 0 → a * b ≠ 0 := by
simpa only [Ordinal.pos_iff_ne_zero] using mul_pos
#align ordinal.mul_ne_zero Ordinal.mul_ne_zero
theorem le_of_mul_le_mul_left {a b c : Ordinal} (h : c * a ≤ c * b) (h0 : 0 < c) : a ≤ b :=
le_imp_le_of_lt_imp_lt (fun h' => mul_lt_mul_of_pos_left h' h0) h
#align ordinal.le_of_mul_le_mul_left Ordinal.le_of_mul_le_mul_left
theorem mul_right_inj {a b c : Ordinal} (a0 : 0 < a) : a * b = a * c ↔ b = c :=
(mul_isNormal a0).inj
#align ordinal.mul_right_inj Ordinal.mul_right_inj
theorem mul_isLimit {a b : Ordinal} (a0 : 0 < a) : IsLimit b → IsLimit (a * b) :=
(mul_isNormal a0).isLimit
#align ordinal.mul_is_limit Ordinal.mul_isLimit
theorem mul_isLimit_left {a b : Ordinal} (l : IsLimit a) (b0 : 0 < b) : IsLimit (a * b) := by
rcases zero_or_succ_or_limit b with (rfl | ⟨b, rfl⟩ | lb)
· exact b0.false.elim
· rw [mul_succ]
exact add_isLimit _ l
· exact mul_isLimit l.pos lb
#align ordinal.mul_is_limit_left Ordinal.mul_isLimit_left
theorem smul_eq_mul : ∀ (n : ℕ) (a : Ordinal), n • a = a * n
| 0, a => by rw [zero_nsmul, Nat.cast_zero, mul_zero]
| n + 1, a => by rw [succ_nsmul, Nat.cast_add, mul_add, Nat.cast_one, mul_one, smul_eq_mul n]
#align ordinal.smul_eq_mul Ordinal.smul_eq_mul
theorem div_nonempty {a b : Ordinal} (h : b ≠ 0) : { o | a < b * succ o }.Nonempty :=
⟨a, (succ_le_iff (a := a) (b := b * succ a)).1 <| by
simpa only [succ_zero, one_mul] using
mul_le_mul_right' (succ_le_of_lt (Ordinal.pos_iff_ne_zero.2 h)) (succ a)⟩
#align ordinal.div_nonempty Ordinal.div_nonempty
instance div : Div Ordinal :=
⟨fun a b => if _h : b = 0 then 0 else sInf { o | a < b * succ o }⟩
@[simp]
theorem div_zero (a : Ordinal) : a / 0 = 0 :=
dif_pos rfl
#align ordinal.div_zero Ordinal.div_zero
theorem div_def (a) {b : Ordinal} (h : b ≠ 0) : a / b = sInf { o | a < b * succ o } :=
dif_neg h
#align ordinal.div_def Ordinal.div_def
theorem lt_mul_succ_div (a) {b : Ordinal} (h : b ≠ 0) : a < b * succ (a / b) := by
rw [div_def a h]; exact csInf_mem (div_nonempty h)
#align ordinal.lt_mul_succ_div Ordinal.lt_mul_succ_div
theorem lt_mul_div_add (a) {b : Ordinal} (h : b ≠ 0) : a < b * (a / b) + b := by
simpa only [mul_succ] using lt_mul_succ_div a h
#align ordinal.lt_mul_div_add Ordinal.lt_mul_div_add
theorem div_le {a b c : Ordinal} (b0 : b ≠ 0) : a / b ≤ c ↔ a < b * succ c :=
⟨fun h => (lt_mul_succ_div a b0).trans_le (mul_le_mul_left' (succ_le_succ_iff.2 h) _), fun h => by
rw [div_def a b0]; exact csInf_le' h⟩
#align ordinal.div_le Ordinal.div_le
theorem lt_div {a b c : Ordinal} (h : c ≠ 0) : a < b / c ↔ c * succ a ≤ b := by
rw [← not_le, div_le h, not_lt]
#align ordinal.lt_div Ordinal.lt_div
theorem div_pos {b c : Ordinal} (h : c ≠ 0) : 0 < b / c ↔ c ≤ b := by simp [lt_div h]
#align ordinal.div_pos Ordinal.div_pos
theorem le_div {a b c : Ordinal} (c0 : c ≠ 0) : a ≤ b / c ↔ c * a ≤ b := by
induction a using limitRecOn with
| H₁ => simp only [mul_zero, Ordinal.zero_le]
| H₂ _ _ => rw [succ_le_iff, lt_div c0]
| H₃ _ h₁ h₂ =>
revert h₁ h₂
simp (config := { contextual := true }) only [mul_le_of_limit, limit_le, iff_self_iff,
forall_true_iff]
#align ordinal.le_div Ordinal.le_div
theorem div_lt {a b c : Ordinal} (b0 : b ≠ 0) : a / b < c ↔ a < b * c :=
lt_iff_lt_of_le_iff_le <| le_div b0
#align ordinal.div_lt Ordinal.div_lt
theorem div_le_of_le_mul {a b c : Ordinal} (h : a ≤ b * c) : a / b ≤ c :=
if b0 : b = 0 then by simp only [b0, div_zero, Ordinal.zero_le]
else
(div_le b0).2 <| h.trans_lt <| mul_lt_mul_of_pos_left (lt_succ c) (Ordinal.pos_iff_ne_zero.2 b0)
#align ordinal.div_le_of_le_mul Ordinal.div_le_of_le_mul
theorem mul_lt_of_lt_div {a b c : Ordinal} : a < b / c → c * a < b :=
lt_imp_lt_of_le_imp_le div_le_of_le_mul
#align ordinal.mul_lt_of_lt_div Ordinal.mul_lt_of_lt_div
@[simp]
theorem zero_div (a : Ordinal) : 0 / a = 0 :=
Ordinal.le_zero.1 <| div_le_of_le_mul <| Ordinal.zero_le _
#align ordinal.zero_div Ordinal.zero_div
theorem mul_div_le (a b : Ordinal) : b * (a / b) ≤ a :=
if b0 : b = 0 then by simp only [b0, zero_mul, Ordinal.zero_le] else (le_div b0).1 le_rfl
#align ordinal.mul_div_le Ordinal.mul_div_le
theorem mul_add_div (a) {b : Ordinal} (b0 : b ≠ 0) (c) : (b * a + c) / b = a + c / b := by
apply le_antisymm
· apply (div_le b0).2
rw [mul_succ, mul_add, add_assoc, add_lt_add_iff_left]
apply lt_mul_div_add _ b0
· rw [le_div b0, mul_add, add_le_add_iff_left]
apply mul_div_le
#align ordinal.mul_add_div Ordinal.mul_add_div
theorem div_eq_zero_of_lt {a b : Ordinal} (h : a < b) : a / b = 0 := by
rw [← Ordinal.le_zero, div_le <| Ordinal.pos_iff_ne_zero.1 <| (Ordinal.zero_le _).trans_lt h]
simpa only [succ_zero, mul_one] using h
#align ordinal.div_eq_zero_of_lt Ordinal.div_eq_zero_of_lt
@[simp]
theorem mul_div_cancel (a) {b : Ordinal} (b0 : b ≠ 0) : b * a / b = a := by
simpa only [add_zero, zero_div] using mul_add_div a b0 0
#align ordinal.mul_div_cancel Ordinal.mul_div_cancel
@[simp]
theorem div_one (a : Ordinal) : a / 1 = a := by
simpa only [one_mul] using mul_div_cancel a Ordinal.one_ne_zero
#align ordinal.div_one Ordinal.div_one
@[simp]
theorem div_self {a : Ordinal} (h : a ≠ 0) : a / a = 1 := by
simpa only [mul_one] using mul_div_cancel 1 h
#align ordinal.div_self Ordinal.div_self
theorem mul_sub (a b c : Ordinal) : a * (b - c) = a * b - a * c :=
if a0 : a = 0 then by simp only [a0, zero_mul, sub_self]
else
eq_of_forall_ge_iff fun d => by rw [sub_le, ← le_div a0, sub_le, ← le_div a0, mul_add_div _ a0]
#align ordinal.mul_sub Ordinal.mul_sub
theorem isLimit_add_iff {a b} : IsLimit (a + b) ↔ IsLimit b ∨ b = 0 ∧ IsLimit a := by
constructor <;> intro h
· by_cases h' : b = 0
· rw [h', add_zero] at h
right
exact ⟨h', h⟩
left
rw [← add_sub_cancel a b]
apply sub_isLimit h
suffices a + 0 < a + b by simpa only [add_zero] using this
rwa [add_lt_add_iff_left, Ordinal.pos_iff_ne_zero]
rcases h with (h | ⟨rfl, h⟩)
· exact add_isLimit a h
· simpa only [add_zero]
#align ordinal.is_limit_add_iff Ordinal.isLimit_add_iff
theorem dvd_add_iff : ∀ {a b c : Ordinal}, a ∣ b → (a ∣ b + c ↔ a ∣ c)
| a, _, c, ⟨b, rfl⟩ =>
⟨fun ⟨d, e⟩ => ⟨d - b, by rw [mul_sub, ← e, add_sub_cancel]⟩, fun ⟨d, e⟩ => by
rw [e, ← mul_add]
apply dvd_mul_right⟩
#align ordinal.dvd_add_iff Ordinal.dvd_add_iff
theorem div_mul_cancel : ∀ {a b : Ordinal}, a ≠ 0 → a ∣ b → a * (b / a) = b
| a, _, a0, ⟨b, rfl⟩ => by rw [mul_div_cancel _ a0]
#align ordinal.div_mul_cancel Ordinal.div_mul_cancel
theorem le_of_dvd : ∀ {a b : Ordinal}, b ≠ 0 → a ∣ b → a ≤ b
-- Porting note: `⟨b, rfl⟩ => by` → `⟨b, e⟩ => by subst e`
| a, _, b0, ⟨b, e⟩ => by
subst e
-- Porting note: `Ne` is required.
simpa only [mul_one] using
mul_le_mul_left'
(one_le_iff_ne_zero.2 fun h : b = 0 => by
simp only [h, mul_zero, Ne, not_true_eq_false] at b0) a
#align ordinal.le_of_dvd Ordinal.le_of_dvd
theorem dvd_antisymm {a b : Ordinal} (h₁ : a ∣ b) (h₂ : b ∣ a) : a = b :=
if a0 : a = 0 then by subst a; exact (eq_zero_of_zero_dvd h₁).symm
else
if b0 : b = 0 then by subst b; exact eq_zero_of_zero_dvd h₂
else (le_of_dvd b0 h₁).antisymm (le_of_dvd a0 h₂)
#align ordinal.dvd_antisymm Ordinal.dvd_antisymm
instance isAntisymm : IsAntisymm Ordinal (· ∣ ·) :=
⟨@dvd_antisymm⟩
instance mod : Mod Ordinal :=
⟨fun a b => a - b * (a / b)⟩
theorem mod_def (a b : Ordinal) : a % b = a - b * (a / b) :=
rfl
#align ordinal.mod_def Ordinal.mod_def
theorem mod_le (a b : Ordinal) : a % b ≤ a :=
sub_le_self a _
#align ordinal.mod_le Ordinal.mod_le
@[simp]
theorem mod_zero (a : Ordinal) : a % 0 = a := by simp only [mod_def, div_zero, zero_mul, sub_zero]
#align ordinal.mod_zero Ordinal.mod_zero
theorem mod_eq_of_lt {a b : Ordinal} (h : a < b) : a % b = a := by
simp only [mod_def, div_eq_zero_of_lt h, mul_zero, sub_zero]
#align ordinal.mod_eq_of_lt Ordinal.mod_eq_of_lt
@[simp]
theorem zero_mod (b : Ordinal) : 0 % b = 0 := by simp only [mod_def, zero_div, mul_zero, sub_self]
#align ordinal.zero_mod Ordinal.zero_mod
theorem div_add_mod (a b : Ordinal) : b * (a / b) + a % b = a :=
Ordinal.add_sub_cancel_of_le <| mul_div_le _ _
#align ordinal.div_add_mod Ordinal.div_add_mod
theorem mod_lt (a) {b : Ordinal} (h : b ≠ 0) : a % b < b :=
(add_lt_add_iff_left (b * (a / b))).1 <| by rw [div_add_mod]; exact lt_mul_div_add a h
#align ordinal.mod_lt Ordinal.mod_lt
@[simp]
theorem mod_self (a : Ordinal) : a % a = 0 :=
if a0 : a = 0 then by simp only [a0, zero_mod]
else by simp only [mod_def, div_self a0, mul_one, sub_self]
#align ordinal.mod_self Ordinal.mod_self
@[simp]
theorem mod_one (a : Ordinal) : a % 1 = 0 := by simp only [mod_def, div_one, one_mul, sub_self]
#align ordinal.mod_one Ordinal.mod_one
theorem dvd_of_mod_eq_zero {a b : Ordinal} (H : a % b = 0) : b ∣ a :=
⟨a / b, by simpa [H] using (div_add_mod a b).symm⟩
#align ordinal.dvd_of_mod_eq_zero Ordinal.dvd_of_mod_eq_zero
theorem mod_eq_zero_of_dvd {a b : Ordinal} (H : b ∣ a) : a % b = 0 := by
rcases H with ⟨c, rfl⟩
rcases eq_or_ne b 0 with (rfl | hb)
· simp
· simp [mod_def, hb]
#align ordinal.mod_eq_zero_of_dvd Ordinal.mod_eq_zero_of_dvd
theorem dvd_iff_mod_eq_zero {a b : Ordinal} : b ∣ a ↔ a % b = 0 :=
⟨mod_eq_zero_of_dvd, dvd_of_mod_eq_zero⟩
#align ordinal.dvd_iff_mod_eq_zero Ordinal.dvd_iff_mod_eq_zero
@[simp]
theorem mul_add_mod_self (x y z : Ordinal) : (x * y + z) % x = z % x := by
rcases eq_or_ne x 0 with rfl | hx
· simp
· rwa [mod_def, mul_add_div, mul_add, ← sub_sub, add_sub_cancel, mod_def]
#align ordinal.mul_add_mod_self Ordinal.mul_add_mod_self
@[simp]
theorem mul_mod (x y : Ordinal) : x * y % x = 0 := by
simpa using mul_add_mod_self x y 0
#align ordinal.mul_mod Ordinal.mul_mod
theorem mod_mod_of_dvd (a : Ordinal) {b c : Ordinal} (h : c ∣ b) : a % b % c = a % c := by
nth_rw 2 [← div_add_mod a b]
rcases h with ⟨d, rfl⟩
rw [mul_assoc, mul_add_mod_self]
#align ordinal.mod_mod_of_dvd Ordinal.mod_mod_of_dvd
@[simp]
theorem mod_mod (a b : Ordinal) : a % b % b = a % b :=
mod_mod_of_dvd a dvd_rfl
#align ordinal.mod_mod Ordinal.mod_mod
def bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) :
∀ a < type r, α := fun a ha => f (enum r a ha)
#align ordinal.bfamily_of_family' Ordinal.bfamilyOfFamily'
def bfamilyOfFamily {ι : Type u} : (ι → α) → ∀ a < type (@WellOrderingRel ι), α :=
bfamilyOfFamily' WellOrderingRel
#align ordinal.bfamily_of_family Ordinal.bfamilyOfFamily
def familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o)
(f : ∀ a < o, α) : ι → α := fun i =>
f (typein r i)
(by
rw [← ho]
exact typein_lt_type r i)
#align ordinal.family_of_bfamily' Ordinal.familyOfBFamily'
def familyOfBFamily (o : Ordinal) (f : ∀ a < o, α) : o.out.α → α :=
familyOfBFamily' (· < ·) (type_lt o) f
#align ordinal.family_of_bfamily Ordinal.familyOfBFamily
@[simp]
theorem bfamilyOfFamily'_typein {ι} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) (i) :
bfamilyOfFamily' r f (typein r i) (typein_lt_type r i) = f i := by
simp only [bfamilyOfFamily', enum_typein]
#align ordinal.bfamily_of_family'_typein Ordinal.bfamilyOfFamily'_typein
@[simp]
theorem bfamilyOfFamily_typein {ι} (f : ι → α) (i) :
bfamilyOfFamily f (typein _ i) (typein_lt_type _ i) = f i :=
bfamilyOfFamily'_typein _ f i
#align ordinal.bfamily_of_family_typein Ordinal.bfamilyOfFamily_typein
@[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this
theorem familyOfBFamily'_enum {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o}
(ho : type r = o) (f : ∀ a < o, α) (i hi) :
familyOfBFamily' r ho f (enum r i (by rwa [ho])) = f i hi := by
simp only [familyOfBFamily', typein_enum]
#align ordinal.family_of_bfamily'_enum Ordinal.familyOfBFamily'_enum
@[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this
theorem familyOfBFamily_enum (o : Ordinal) (f : ∀ a < o, α) (i hi) :
familyOfBFamily o f
(enum (· < ·) i
(by
convert hi
exact type_lt _)) =
f i hi :=
familyOfBFamily'_enum _ (type_lt o) f _ _
#align ordinal.family_of_bfamily_enum Ordinal.familyOfBFamily_enum
def brange (o : Ordinal) (f : ∀ a < o, α) : Set α :=
{ a | ∃ i hi, f i hi = a }
#align ordinal.brange Ordinal.brange
theorem mem_brange {o : Ordinal} {f : ∀ a < o, α} {a} : a ∈ brange o f ↔ ∃ i hi, f i hi = a :=
Iff.rfl
#align ordinal.mem_brange Ordinal.mem_brange
theorem mem_brange_self {o} (f : ∀ a < o, α) (i hi) : f i hi ∈ brange o f :=
⟨i, hi, rfl⟩
#align ordinal.mem_brange_self Ordinal.mem_brange_self
@[simp]
theorem range_familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o}
(ho : type r = o) (f : ∀ a < o, α) : range (familyOfBFamily' r ho f) = brange o f := by
refine Set.ext fun a => ⟨?_, ?_⟩
· rintro ⟨b, rfl⟩
apply mem_brange_self
· rintro ⟨i, hi, rfl⟩
exact ⟨_, familyOfBFamily'_enum _ _ _ _ _⟩
#align ordinal.range_family_of_bfamily' Ordinal.range_familyOfBFamily'
@[simp]
theorem range_familyOfBFamily {o} (f : ∀ a < o, α) : range (familyOfBFamily o f) = brange o f :=
range_familyOfBFamily' _ _ f
#align ordinal.range_family_of_bfamily Ordinal.range_familyOfBFamily
@[simp]
theorem brange_bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) :
brange _ (bfamilyOfFamily' r f) = range f := by
refine Set.ext fun a => ⟨?_, ?_⟩
· rintro ⟨i, hi, rfl⟩
apply mem_range_self
· rintro ⟨b, rfl⟩
exact ⟨_, _, bfamilyOfFamily'_typein _ _ _⟩
#align ordinal.brange_bfamily_of_family' Ordinal.brange_bfamilyOfFamily'
@[simp]
theorem brange_bfamilyOfFamily {ι : Type u} (f : ι → α) : brange _ (bfamilyOfFamily f) = range f :=
brange_bfamilyOfFamily' _ _
#align ordinal.brange_bfamily_of_family Ordinal.brange_bfamilyOfFamily
@[simp]
theorem brange_const {o : Ordinal} (ho : o ≠ 0) {c : α} : (brange o fun _ _ => c) = {c} := by
rw [← range_familyOfBFamily]
exact @Set.range_const _ o.out.α (out_nonempty_iff_ne_zero.2 ho) c
#align ordinal.brange_const Ordinal.brange_const
theorem comp_bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α)
(g : α → β) : (fun i hi => g (bfamilyOfFamily' r f i hi)) = bfamilyOfFamily' r (g ∘ f) :=
rfl
#align ordinal.comp_bfamily_of_family' Ordinal.comp_bfamilyOfFamily'
theorem comp_bfamilyOfFamily {ι : Type u} (f : ι → α) (g : α → β) :
(fun i hi => g (bfamilyOfFamily f i hi)) = bfamilyOfFamily (g ∘ f) :=
rfl
#align ordinal.comp_bfamily_of_family Ordinal.comp_bfamilyOfFamily
theorem comp_familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o}
(ho : type r = o) (f : ∀ a < o, α) (g : α → β) :
g ∘ familyOfBFamily' r ho f = familyOfBFamily' r ho fun i hi => g (f i hi) :=
rfl
#align ordinal.comp_family_of_bfamily' Ordinal.comp_familyOfBFamily'
theorem comp_familyOfBFamily {o} (f : ∀ a < o, α) (g : α → β) :
g ∘ familyOfBFamily o f = familyOfBFamily o fun i hi => g (f i hi) :=
rfl
#align ordinal.comp_family_of_bfamily Ordinal.comp_familyOfBFamily
-- Porting note: Universes should be specified in `sup`s.
def sup {ι : Type u} (f : ι → Ordinal.{max u v}) : Ordinal.{max u v} :=
iSup f
#align ordinal.sup Ordinal.sup
@[simp]
theorem sSup_eq_sup {ι : Type u} (f : ι → Ordinal.{max u v}) : sSup (Set.range f) = sup.{_, v} f :=
rfl
#align ordinal.Sup_eq_sup Ordinal.sSup_eq_sup
theorem bddAbove_range {ι : Type u} (f : ι → Ordinal.{max u v}) : BddAbove (Set.range f) :=
⟨(iSup (succ ∘ card ∘ f)).ord, by
rintro a ⟨i, rfl⟩
exact le_of_lt (Cardinal.lt_ord.2 ((lt_succ _).trans_le
(le_ciSup (Cardinal.bddAbove_range.{_, v} _) _)))⟩
#align ordinal.bdd_above_range Ordinal.bddAbove_range
theorem le_sup {ι : Type u} (f : ι → Ordinal.{max u v}) : ∀ i, f i ≤ sup.{_, v} f := fun i =>
le_csSup (bddAbove_range.{_, v} f) (mem_range_self i)
#align ordinal.le_sup Ordinal.le_sup
theorem sup_le_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : sup.{_, v} f ≤ a ↔ ∀ i, f i ≤ a :=
(csSup_le_iff' (bddAbove_range.{_, v} f)).trans (by simp)
#align ordinal.sup_le_iff Ordinal.sup_le_iff
theorem sup_le {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : (∀ i, f i ≤ a) → sup.{_, v} f ≤ a :=
sup_le_iff.2
#align ordinal.sup_le Ordinal.sup_le
theorem lt_sup {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : a < sup.{_, v} f ↔ ∃ i, a < f i := by
simpa only [not_forall, not_le] using not_congr (@sup_le_iff.{_, v} _ f a)
#align ordinal.lt_sup Ordinal.lt_sup
theorem ne_sup_iff_lt_sup {ι : Type u} {f : ι → Ordinal.{max u v}} :
(∀ i, f i ≠ sup.{_, v} f) ↔ ∀ i, f i < sup.{_, v} f :=
⟨fun hf _ => lt_of_le_of_ne (le_sup _ _) (hf _), fun hf _ => ne_of_lt (hf _)⟩
#align ordinal.ne_sup_iff_lt_sup Ordinal.ne_sup_iff_lt_sup
theorem sup_not_succ_of_ne_sup {ι : Type u} {f : ι → Ordinal.{max u v}}
(hf : ∀ i, f i ≠ sup.{_, v} f) {a} (hao : a < sup.{_, v} f) : succ a < sup.{_, v} f := by
by_contra! hoa
exact
hao.not_le (sup_le fun i => le_of_lt_succ <| (lt_of_le_of_ne (le_sup _ _) (hf i)).trans_le hoa)
#align ordinal.sup_not_succ_of_ne_sup Ordinal.sup_not_succ_of_ne_sup
@[simp]
theorem sup_eq_zero_iff {ι : Type u} {f : ι → Ordinal.{max u v}} :
sup.{_, v} f = 0 ↔ ∀ i, f i = 0 := by
refine
⟨fun h i => ?_, fun h =>
le_antisymm (sup_le fun i => Ordinal.le_zero.2 (h i)) (Ordinal.zero_le _)⟩
rw [← Ordinal.le_zero, ← h]
exact le_sup f i
#align ordinal.sup_eq_zero_iff Ordinal.sup_eq_zero_iff
theorem IsNormal.sup {f : Ordinal.{max u v} → Ordinal.{max u w}} (H : IsNormal f) {ι : Type u}
(g : ι → Ordinal.{max u v}) [Nonempty ι] : f (sup.{_, v} g) = sup.{_, w} (f ∘ g) :=
eq_of_forall_ge_iff fun a => by
rw [sup_le_iff]; simp only [comp]; rw [H.le_set' Set.univ Set.univ_nonempty g] <;>
simp [sup_le_iff]
#align ordinal.is_normal.sup Ordinal.IsNormal.sup
@[simp]
theorem sup_empty {ι} [IsEmpty ι] (f : ι → Ordinal) : sup f = 0 :=
ciSup_of_empty f
#align ordinal.sup_empty Ordinal.sup_empty
@[simp]
theorem sup_const {ι} [_hι : Nonempty ι] (o : Ordinal) : (sup fun _ : ι => o) = o :=
ciSup_const
#align ordinal.sup_const Ordinal.sup_const
@[simp]
theorem sup_unique {ι} [Unique ι] (f : ι → Ordinal) : sup f = f default :=
ciSup_unique
#align ordinal.sup_unique Ordinal.sup_unique
theorem sup_le_of_range_subset {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal}
(h : Set.range f ⊆ Set.range g) : sup.{u, max v w} f ≤ sup.{v, max u w} g :=
sup_le fun i =>
match h (mem_range_self i) with
| ⟨_j, hj⟩ => hj ▸ le_sup _ _
#align ordinal.sup_le_of_range_subset Ordinal.sup_le_of_range_subset
theorem sup_eq_of_range_eq {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal}
(h : Set.range f = Set.range g) : sup.{u, max v w} f = sup.{v, max u w} g :=
(sup_le_of_range_subset.{u, v, w} h.le).antisymm (sup_le_of_range_subset.{v, u, w} h.ge)
#align ordinal.sup_eq_of_range_eq Ordinal.sup_eq_of_range_eq
@[simp]
theorem sup_sum {α : Type u} {β : Type v} (f : Sum α β → Ordinal) :
sup.{max u v, w} f =
max (sup.{u, max v w} fun a => f (Sum.inl a)) (sup.{v, max u w} fun b => f (Sum.inr b)) := by
apply (sup_le_iff.2 _).antisymm (max_le_iff.2 ⟨_, _⟩)
· rintro (i | i)
· exact le_max_of_le_left (le_sup _ i)
· exact le_max_of_le_right (le_sup _ i)
all_goals
apply sup_le_of_range_subset.{_, max u v, w}
rintro i ⟨a, rfl⟩
apply mem_range_self
#align ordinal.sup_sum Ordinal.sup_sum
theorem unbounded_range_of_sup_ge {α β : Type u} (r : α → α → Prop) [IsWellOrder α r] (f : β → α)
(h : type r ≤ sup.{u, u} (typein r ∘ f)) : Unbounded r (range f) :=
(not_bounded_iff _).1 fun ⟨x, hx⟩ =>
not_lt_of_le h <|
lt_of_le_of_lt
(sup_le fun y => le_of_lt <| (typein_lt_typein r).2 <| hx _ <| mem_range_self y)
(typein_lt_type r x)
#align ordinal.unbounded_range_of_sup_ge Ordinal.unbounded_range_of_sup_ge
theorem le_sup_shrink_equiv {s : Set Ordinal.{u}} (hs : Small.{u} s) (a) (ha : a ∈ s) :
a ≤ sup.{u, u} fun x => ((@equivShrink s hs).symm x).val := by
convert le_sup.{u, u} (fun x => ((@equivShrink s hs).symm x).val) ((@equivShrink s hs) ⟨a, ha⟩)
rw [symm_apply_apply]
#align ordinal.le_sup_shrink_equiv Ordinal.le_sup_shrink_equiv
instance small_Iio (o : Ordinal.{u}) : Small.{u} (Set.Iio o) :=
let f : o.out.α → Set.Iio o :=
fun x => ⟨typein ((· < ·) : o.out.α → o.out.α → Prop) x, typein_lt_self x⟩
let hf : Surjective f := fun b =>
⟨enum (· < ·) b.val
(by
rw [type_lt]
exact b.prop),
Subtype.ext (typein_enum _ _)⟩
small_of_surjective hf
#align ordinal.small_Iio Ordinal.small_Iio
instance small_Iic (o : Ordinal.{u}) : Small.{u} (Set.Iic o) := by
rw [← Iio_succ]
infer_instance
#align ordinal.small_Iic Ordinal.small_Iic
theorem bddAbove_iff_small {s : Set Ordinal.{u}} : BddAbove s ↔ Small.{u} s :=
⟨fun ⟨a, h⟩ => small_subset <| show s ⊆ Iic a from fun _x hx => h hx, fun h =>
⟨sup.{u, u} fun x => ((@equivShrink s h).symm x).val, le_sup_shrink_equiv h⟩⟩
#align ordinal.bdd_above_iff_small Ordinal.bddAbove_iff_small
theorem bddAbove_of_small (s : Set Ordinal.{u}) [h : Small.{u} s] : BddAbove s :=
bddAbove_iff_small.2 h
#align ordinal.bdd_above_of_small Ordinal.bddAbove_of_small
theorem sup_eq_sSup {s : Set Ordinal.{u}} (hs : Small.{u} s) :
(sup.{u, u} fun x => (@equivShrink s hs).symm x) = sSup s :=
let hs' := bddAbove_iff_small.2 hs
((csSup_le_iff' hs').2 (le_sup_shrink_equiv hs)).antisymm'
(sup_le fun _x => le_csSup hs' (Subtype.mem _))
#align ordinal.sup_eq_Sup Ordinal.sup_eq_sSup
theorem sSup_ord {s : Set Cardinal.{u}} (hs : BddAbove s) : (sSup s).ord = sSup (ord '' s) :=
eq_of_forall_ge_iff fun a => by
rw [csSup_le_iff'
(bddAbove_iff_small.2 (@small_image _ _ _ s (Cardinal.bddAbove_iff_small.1 hs))),
ord_le, csSup_le_iff' hs]
simp [ord_le]
#align ordinal.Sup_ord Ordinal.sSup_ord
theorem iSup_ord {ι} {f : ι → Cardinal} (hf : BddAbove (range f)) :
(iSup f).ord = ⨆ i, (f i).ord := by
unfold iSup
convert sSup_ord hf
-- Porting note: `change` is required.
conv_lhs => change range (ord ∘ f)
rw [range_comp]
#align ordinal.supr_ord Ordinal.iSup_ord
private theorem sup_le_sup {ι ι' : Type u} (r : ι → ι → Prop) (r' : ι' → ι' → Prop)
[IsWellOrder ι r] [IsWellOrder ι' r'] {o} (ho : type r = o) (ho' : type r' = o)
(f : ∀ a < o, Ordinal.{max u v}) :
sup.{_, v} (familyOfBFamily' r ho f) ≤ sup.{_, v} (familyOfBFamily' r' ho' f) :=
sup_le fun i => by
cases'
typein_surj r'
(by
rw [ho', ← ho]
exact typein_lt_type r i) with
j hj
simp_rw [familyOfBFamily', ← hj]
apply le_sup
theorem sup_eq_sup {ι ι' : Type u} (r : ι → ι → Prop) (r' : ι' → ι' → Prop) [IsWellOrder ι r]
[IsWellOrder ι' r'] {o : Ordinal.{u}} (ho : type r = o) (ho' : type r' = o)
(f : ∀ a < o, Ordinal.{max u v}) :
sup.{_, v} (familyOfBFamily' r ho f) = sup.{_, v} (familyOfBFamily' r' ho' f) :=
sup_eq_of_range_eq.{u, u, v} (by simp)
#align ordinal.sup_eq_sup Ordinal.sup_eq_sup
def bsup (o : Ordinal.{u}) (f : ∀ a < o, Ordinal.{max u v}) : Ordinal.{max u v} :=
sup.{_, v} (familyOfBFamily o f)
#align ordinal.bsup Ordinal.bsup
@[simp]
theorem sup_eq_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
sup.{_, v} (familyOfBFamily o f) = bsup.{_, v} o f :=
rfl
#align ordinal.sup_eq_bsup Ordinal.sup_eq_bsup
@[simp]
theorem sup_eq_bsup' {o : Ordinal.{u}} {ι} (r : ι → ι → Prop) [IsWellOrder ι r] (ho : type r = o)
(f : ∀ a < o, Ordinal.{max u v}) : sup.{_, v} (familyOfBFamily' r ho f) = bsup.{_, v} o f :=
sup_eq_sup r _ ho _ f
#align ordinal.sup_eq_bsup' Ordinal.sup_eq_bsup'
@[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this
theorem sSup_eq_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
sSup (brange o f) = bsup.{_, v} o f := by
congr
rw [range_familyOfBFamily]
#align ordinal.Sup_eq_bsup Ordinal.sSup_eq_bsup
@[simp]
theorem bsup_eq_sup' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → Ordinal.{max u v}) :
bsup.{_, v} _ (bfamilyOfFamily' r f) = sup.{_, v} f := by
simp (config := { unfoldPartialApp := true }) only [← sup_eq_bsup' r, enum_typein,
familyOfBFamily', bfamilyOfFamily']
#align ordinal.bsup_eq_sup' Ordinal.bsup_eq_sup'
theorem bsup_eq_bsup {ι : Type u} (r r' : ι → ι → Prop) [IsWellOrder ι r] [IsWellOrder ι r']
(f : ι → Ordinal.{max u v}) :
bsup.{_, v} _ (bfamilyOfFamily' r f) = bsup.{_, v} _ (bfamilyOfFamily' r' f) := by
rw [bsup_eq_sup', bsup_eq_sup']
#align ordinal.bsup_eq_bsup Ordinal.bsup_eq_bsup
@[simp]
theorem bsup_eq_sup {ι : Type u} (f : ι → Ordinal.{max u v}) :
bsup.{_, v} _ (bfamilyOfFamily f) = sup.{_, v} f :=
bsup_eq_sup' _ f
#align ordinal.bsup_eq_sup Ordinal.bsup_eq_sup
@[congr]
theorem bsup_congr {o₁ o₂ : Ordinal.{u}} (f : ∀ a < o₁, Ordinal.{max u v}) (ho : o₁ = o₂) :
bsup.{_, v} o₁ f = bsup.{_, v} o₂ fun a h => f a (h.trans_eq ho.symm) := by
subst ho
-- Porting note: `rfl` is required.
rfl
#align ordinal.bsup_congr Ordinal.bsup_congr
theorem bsup_le_iff {o f a} : bsup.{u, v} o f ≤ a ↔ ∀ i h, f i h ≤ a :=
sup_le_iff.trans
⟨fun h i hi => by
rw [← familyOfBFamily_enum o f]
exact h _, fun h i => h _ _⟩
#align ordinal.bsup_le_iff Ordinal.bsup_le_iff
theorem bsup_le {o : Ordinal} {f : ∀ b < o, Ordinal} {a} :
(∀ i h, f i h ≤ a) → bsup.{u, v} o f ≤ a :=
bsup_le_iff.2
#align ordinal.bsup_le Ordinal.bsup_le
theorem le_bsup {o} (f : ∀ a < o, Ordinal) (i h) : f i h ≤ bsup o f :=
bsup_le_iff.1 le_rfl _ _
#align ordinal.le_bsup Ordinal.le_bsup
theorem lt_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) {a} :
a < bsup.{_, v} o f ↔ ∃ i hi, a < f i hi := by
simpa only [not_forall, not_le] using not_congr (@bsup_le_iff.{_, v} _ f a)
#align ordinal.lt_bsup Ordinal.lt_bsup
theorem IsNormal.bsup {f : Ordinal.{max u v} → Ordinal.{max u w}} (H : IsNormal f)
{o : Ordinal.{u}} :
∀ (g : ∀ a < o, Ordinal), o ≠ 0 → f (bsup.{_, v} o g) = bsup.{_, w} o fun a h => f (g a h) :=
inductionOn o fun α r _ g h => by
haveI := type_ne_zero_iff_nonempty.1 h
rw [← sup_eq_bsup' r, IsNormal.sup.{_, v, w} H, ← sup_eq_bsup' r] <;> rfl
#align ordinal.is_normal.bsup Ordinal.IsNormal.bsup
theorem lt_bsup_of_ne_bsup {o : Ordinal.{u}} {f : ∀ a < o, Ordinal.{max u v}} :
(∀ i h, f i h ≠ bsup.{_, v} o f) ↔ ∀ i h, f i h < bsup.{_, v} o f :=
⟨fun hf _ _ => lt_of_le_of_ne (le_bsup _ _ _) (hf _ _), fun hf _ _ => ne_of_lt (hf _ _)⟩
#align ordinal.lt_bsup_of_ne_bsup Ordinal.lt_bsup_of_ne_bsup
theorem bsup_not_succ_of_ne_bsup {o : Ordinal.{u}} {f : ∀ a < o, Ordinal.{max u v}}
(hf : ∀ {i : Ordinal} (h : i < o), f i h ≠ bsup.{_, v} o f) (a) :
a < bsup.{_, v} o f → succ a < bsup.{_, v} o f := by
rw [← sup_eq_bsup] at *
exact sup_not_succ_of_ne_sup fun i => hf _
#align ordinal.bsup_not_succ_of_ne_bsup Ordinal.bsup_not_succ_of_ne_bsup
@[simp]
theorem bsup_eq_zero_iff {o} {f : ∀ a < o, Ordinal} : bsup o f = 0 ↔ ∀ i hi, f i hi = 0 := by
refine
⟨fun h i hi => ?_, fun h =>
le_antisymm (bsup_le fun i hi => Ordinal.le_zero.2 (h i hi)) (Ordinal.zero_le _)⟩
rw [← Ordinal.le_zero, ← h]
exact le_bsup f i hi
#align ordinal.bsup_eq_zero_iff Ordinal.bsup_eq_zero_iff
theorem lt_bsup_of_limit {o : Ordinal} {f : ∀ a < o, Ordinal}
(hf : ∀ {a a'} (ha : a < o) (ha' : a' < o), a < a' → f a ha < f a' ha')
(ho : ∀ a < o, succ a < o) (i h) : f i h < bsup o f :=
(hf _ _ <| lt_succ i).trans_le (le_bsup f (succ i) <| ho _ h)
#align ordinal.lt_bsup_of_limit Ordinal.lt_bsup_of_limit
theorem bsup_succ_of_mono {o : Ordinal} {f : ∀ a < succ o, Ordinal}
(hf : ∀ {i j} (hi hj), i ≤ j → f i hi ≤ f j hj) : bsup _ f = f o (lt_succ o) :=
le_antisymm (bsup_le fun _i hi => hf _ _ <| le_of_lt_succ hi) (le_bsup _ _ _)
#align ordinal.bsup_succ_of_mono Ordinal.bsup_succ_of_mono
@[simp]
theorem bsup_zero (f : ∀ a < (0 : Ordinal), Ordinal) : bsup 0 f = 0 :=
bsup_eq_zero_iff.2 fun i hi => (Ordinal.not_lt_zero i hi).elim
#align ordinal.bsup_zero Ordinal.bsup_zero
theorem bsup_const {o : Ordinal.{u}} (ho : o ≠ 0) (a : Ordinal.{max u v}) :
(bsup.{_, v} o fun _ _ => a) = a :=
le_antisymm (bsup_le fun _ _ => le_rfl) (le_bsup _ 0 (Ordinal.pos_iff_ne_zero.2 ho))
#align ordinal.bsup_const Ordinal.bsup_const
@[simp]
theorem bsup_one (f : ∀ a < (1 : Ordinal), Ordinal) : bsup 1 f = f 0 zero_lt_one := by
simp_rw [← sup_eq_bsup, sup_unique, familyOfBFamily, familyOfBFamily', typein_one_out]
#align ordinal.bsup_one Ordinal.bsup_one
theorem bsup_le_of_brange_subset {o o'} {f : ∀ a < o, Ordinal} {g : ∀ a < o', Ordinal}
(h : brange o f ⊆ brange o' g) : bsup.{u, max v w} o f ≤ bsup.{v, max u w} o' g :=
bsup_le fun i hi => by
obtain ⟨j, hj, hj'⟩ := h ⟨i, hi, rfl⟩
rw [← hj']
apply le_bsup
#align ordinal.bsup_le_of_brange_subset Ordinal.bsup_le_of_brange_subset
theorem bsup_eq_of_brange_eq {o o'} {f : ∀ a < o, Ordinal} {g : ∀ a < o', Ordinal}
(h : brange o f = brange o' g) : bsup.{u, max v w} o f = bsup.{v, max u w} o' g :=
(bsup_le_of_brange_subset.{u, v, w} h.le).antisymm (bsup_le_of_brange_subset.{v, u, w} h.ge)
#align ordinal.bsup_eq_of_brange_eq Ordinal.bsup_eq_of_brange_eq
def lsub {ι} (f : ι → Ordinal) : Ordinal :=
sup (succ ∘ f)
#align ordinal.lsub Ordinal.lsub
@[simp]
theorem sup_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
sup.{_, v} (succ ∘ f) = lsub.{_, v} f :=
rfl
#align ordinal.sup_eq_lsub Ordinal.sup_eq_lsub
theorem lsub_le_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} :
lsub.{_, v} f ≤ a ↔ ∀ i, f i < a := by
convert sup_le_iff.{_, v} (f := succ ∘ f) (a := a) using 2
-- Porting note: `comp_apply` is required.
simp only [comp_apply, succ_le_iff]
#align ordinal.lsub_le_iff Ordinal.lsub_le_iff
theorem lsub_le {ι} {f : ι → Ordinal} {a} : (∀ i, f i < a) → lsub f ≤ a :=
lsub_le_iff.2
#align ordinal.lsub_le Ordinal.lsub_le
theorem lt_lsub {ι} (f : ι → Ordinal) (i) : f i < lsub f :=
succ_le_iff.1 (le_sup _ i)
#align ordinal.lt_lsub Ordinal.lt_lsub
theorem lt_lsub_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} :
a < lsub.{_, v} f ↔ ∃ i, a ≤ f i := by
simpa only [not_forall, not_lt, not_le] using not_congr (@lsub_le_iff.{_, v} _ f a)
#align ordinal.lt_lsub_iff Ordinal.lt_lsub_iff
theorem sup_le_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) : sup.{_, v} f ≤ lsub.{_, v} f :=
sup_le fun i => (lt_lsub f i).le
#align ordinal.sup_le_lsub Ordinal.sup_le_lsub
theorem lsub_le_sup_succ {ι : Type u} (f : ι → Ordinal.{max u v}) :
lsub.{_, v} f ≤ succ (sup.{_, v} f) :=
lsub_le fun i => lt_succ_iff.2 (le_sup f i)
#align ordinal.lsub_le_sup_succ Ordinal.lsub_le_sup_succ
theorem sup_eq_lsub_or_sup_succ_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
sup.{_, v} f = lsub.{_, v} f ∨ succ (sup.{_, v} f) = lsub.{_, v} f := by
cases' eq_or_lt_of_le (sup_le_lsub.{_, v} f) with h h
· exact Or.inl h
· exact Or.inr ((succ_le_of_lt h).antisymm (lsub_le_sup_succ f))
#align ordinal.sup_eq_lsub_or_sup_succ_eq_lsub Ordinal.sup_eq_lsub_or_sup_succ_eq_lsub
theorem sup_succ_le_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
succ (sup.{_, v} f) ≤ lsub.{_, v} f ↔ ∃ i, f i = sup.{_, v} f := by
refine ⟨fun h => ?_, ?_⟩
· by_contra! hf
exact (succ_le_iff.1 h).ne ((sup_le_lsub f).antisymm (lsub_le (ne_sup_iff_lt_sup.1 hf)))
rintro ⟨_, hf⟩
rw [succ_le_iff, ← hf]
exact lt_lsub _ _
#align ordinal.sup_succ_le_lsub Ordinal.sup_succ_le_lsub
theorem sup_succ_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
succ (sup.{_, v} f) = lsub.{_, v} f ↔ ∃ i, f i = sup.{_, v} f :=
(lsub_le_sup_succ f).le_iff_eq.symm.trans (sup_succ_le_lsub f)
#align ordinal.sup_succ_eq_lsub Ordinal.sup_succ_eq_lsub
theorem sup_eq_lsub_iff_succ {ι : Type u} (f : ι → Ordinal.{max u v}) :
sup.{_, v} f = lsub.{_, v} f ↔ ∀ a < lsub.{_, v} f, succ a < lsub.{_, v} f := by
refine ⟨fun h => ?_, fun hf => le_antisymm (sup_le_lsub f) (lsub_le fun i => ?_)⟩
· rw [← h]
exact fun a => sup_not_succ_of_ne_sup fun i => (lsub_le_iff.1 (le_of_eq h.symm) i).ne
by_contra! hle
have heq := (sup_succ_eq_lsub f).2 ⟨i, le_antisymm (le_sup _ _) hle⟩
have :=
hf _
(by
rw [← heq]
exact lt_succ (sup f))
rw [heq] at this
exact this.false
#align ordinal.sup_eq_lsub_iff_succ Ordinal.sup_eq_lsub_iff_succ
theorem sup_eq_lsub_iff_lt_sup {ι : Type u} (f : ι → Ordinal.{max u v}) :
sup.{_, v} f = lsub.{_, v} f ↔ ∀ i, f i < sup.{_, v} f :=
⟨fun h i => by
rw [h]
apply lt_lsub, fun h => le_antisymm (sup_le_lsub f) (lsub_le h)⟩
#align ordinal.sup_eq_lsub_iff_lt_sup Ordinal.sup_eq_lsub_iff_lt_sup
@[simp]
theorem lsub_empty {ι} [h : IsEmpty ι] (f : ι → Ordinal) : lsub f = 0 := by
rw [← Ordinal.le_zero, lsub_le_iff]
exact h.elim
#align ordinal.lsub_empty Ordinal.lsub_empty
theorem lsub_pos {ι : Type u} [h : Nonempty ι] (f : ι → Ordinal.{max u v}) : 0 < lsub.{_, v} f :=
h.elim fun i => (Ordinal.zero_le _).trans_lt (lt_lsub f i)
#align ordinal.lsub_pos Ordinal.lsub_pos
@[simp]
theorem lsub_eq_zero_iff {ι : Type u} (f : ι → Ordinal.{max u v}) :
lsub.{_, v} f = 0 ↔ IsEmpty ι := by
refine ⟨fun h => ⟨fun i => ?_⟩, fun h => @lsub_empty _ h _⟩
have := @lsub_pos.{_, v} _ ⟨i⟩ f
rw [h] at this
exact this.false
#align ordinal.lsub_eq_zero_iff Ordinal.lsub_eq_zero_iff
@[simp]
theorem lsub_const {ι} [Nonempty ι] (o : Ordinal) : (lsub fun _ : ι => o) = succ o :=
sup_const (succ o)
#align ordinal.lsub_const Ordinal.lsub_const
@[simp]
theorem lsub_unique {ι} [Unique ι] (f : ι → Ordinal) : lsub f = succ (f default) :=
sup_unique _
#align ordinal.lsub_unique Ordinal.lsub_unique
theorem lsub_le_of_range_subset {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal}
(h : Set.range f ⊆ Set.range g) : lsub.{u, max v w} f ≤ lsub.{v, max u w} g :=
sup_le_of_range_subset.{u, v, w} (by convert Set.image_subset succ h <;> apply Set.range_comp)
#align ordinal.lsub_le_of_range_subset Ordinal.lsub_le_of_range_subset
theorem lsub_eq_of_range_eq {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal}
(h : Set.range f = Set.range g) : lsub.{u, max v w} f = lsub.{v, max u w} g :=
(lsub_le_of_range_subset.{u, v, w} h.le).antisymm (lsub_le_of_range_subset.{v, u, w} h.ge)
#align ordinal.lsub_eq_of_range_eq Ordinal.lsub_eq_of_range_eq
@[simp]
theorem lsub_sum {α : Type u} {β : Type v} (f : Sum α β → Ordinal) :
lsub.{max u v, w} f =
max (lsub.{u, max v w} fun a => f (Sum.inl a)) (lsub.{v, max u w} fun b => f (Sum.inr b)) :=
sup_sum _
#align ordinal.lsub_sum Ordinal.lsub_sum
theorem lsub_not_mem_range {ι : Type u} (f : ι → Ordinal.{max u v}) :
lsub.{_, v} f ∉ Set.range f := fun ⟨i, h⟩ =>
h.not_lt (lt_lsub f i)
#align ordinal.lsub_not_mem_range Ordinal.lsub_not_mem_range
theorem nonempty_compl_range {ι : Type u} (f : ι → Ordinal.{max u v}) : (Set.range f)ᶜ.Nonempty :=
⟨_, lsub_not_mem_range.{_, v} f⟩
#align ordinal.nonempty_compl_range Ordinal.nonempty_compl_range
@[simp]
theorem lsub_typein (o : Ordinal) : lsub.{u, u} (typein ((· < ·) : o.out.α → o.out.α → Prop)) = o :=
(lsub_le.{u, u} typein_lt_self).antisymm
(by
by_contra! h
-- Porting note: `nth_rw` → `conv_rhs` & `rw`
conv_rhs at h => rw [← type_lt o]
simpa [typein_enum] using lt_lsub.{u, u} (typein (· < ·)) (enum (· < ·) _ h))
#align ordinal.lsub_typein Ordinal.lsub_typein
theorem sup_typein_limit {o : Ordinal} (ho : ∀ a, a < o → succ a < o) :
sup.{u, u} (typein ((· < ·) : o.out.α → o.out.α → Prop)) = o := by
-- Porting note: `rwa` → `rw` & `assumption`
rw [(sup_eq_lsub_iff_succ.{u, u} (typein (· < ·))).2] <;> rw [lsub_typein o]; assumption
#align ordinal.sup_typein_limit Ordinal.sup_typein_limit
@[simp]
theorem sup_typein_succ {o : Ordinal} :
sup.{u, u} (typein ((· < ·) : (succ o).out.α → (succ o).out.α → Prop)) = o := by
cases'
sup_eq_lsub_or_sup_succ_eq_lsub.{u, u}
(typein ((· < ·) : (succ o).out.α → (succ o).out.α → Prop)) with
h h
· rw [sup_eq_lsub_iff_succ] at h
simp only [lsub_typein] at h
exact (h o (lt_succ o)).false.elim
rw [← succ_eq_succ_iff, h]
apply lsub_typein
#align ordinal.sup_typein_succ Ordinal.sup_typein_succ
def blsub (o : Ordinal.{u}) (f : ∀ a < o, Ordinal.{max u v}) : Ordinal.{max u v} :=
bsup.{_, v} o fun a ha => succ (f a ha)
#align ordinal.blsub Ordinal.blsub
@[simp]
theorem bsup_eq_blsub (o : Ordinal.{u}) (f : ∀ a < o, Ordinal.{max u v}) :
(bsup.{_, v} o fun a ha => succ (f a ha)) = blsub.{_, v} o f :=
rfl
#align ordinal.bsup_eq_blsub Ordinal.bsup_eq_blsub
theorem lsub_eq_blsub' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o)
(f : ∀ a < o, Ordinal.{max u v}) : lsub.{_, v} (familyOfBFamily' r ho f) = blsub.{_, v} o f :=
sup_eq_bsup'.{_, v} r ho fun a ha => succ (f a ha)
#align ordinal.lsub_eq_blsub' Ordinal.lsub_eq_blsub'
theorem lsub_eq_lsub {ι ι' : Type u} (r : ι → ι → Prop) (r' : ι' → ι' → Prop) [IsWellOrder ι r]
[IsWellOrder ι' r'] {o} (ho : type r = o) (ho' : type r' = o)
(f : ∀ a < o, Ordinal.{max u v}) :
lsub.{_, v} (familyOfBFamily' r ho f) = lsub.{_, v} (familyOfBFamily' r' ho' f) := by
rw [lsub_eq_blsub', lsub_eq_blsub']
#align ordinal.lsub_eq_lsub Ordinal.lsub_eq_lsub
@[simp]
theorem lsub_eq_blsub {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
lsub.{_, v} (familyOfBFamily o f) = blsub.{_, v} o f :=
lsub_eq_blsub' _ _ _
#align ordinal.lsub_eq_blsub Ordinal.lsub_eq_blsub
@[simp]
theorem blsub_eq_lsub' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r]
(f : ι → Ordinal.{max u v}) : blsub.{_, v} _ (bfamilyOfFamily' r f) = lsub.{_, v} f :=
bsup_eq_sup'.{_, v} r (succ ∘ f)
#align ordinal.blsub_eq_lsub' Ordinal.blsub_eq_lsub'
theorem blsub_eq_blsub {ι : Type u} (r r' : ι → ι → Prop) [IsWellOrder ι r] [IsWellOrder ι r']
(f : ι → Ordinal.{max u v}) :
blsub.{_, v} _ (bfamilyOfFamily' r f) = blsub.{_, v} _ (bfamilyOfFamily' r' f) := by
rw [blsub_eq_lsub', blsub_eq_lsub']
#align ordinal.blsub_eq_blsub Ordinal.blsub_eq_blsub
@[simp]
theorem blsub_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) :
blsub.{_, v} _ (bfamilyOfFamily f) = lsub.{_, v} f :=
blsub_eq_lsub' _ _
#align ordinal.blsub_eq_lsub Ordinal.blsub_eq_lsub
@[congr]
theorem blsub_congr {o₁ o₂ : Ordinal.{u}} (f : ∀ a < o₁, Ordinal.{max u v}) (ho : o₁ = o₂) :
blsub.{_, v} o₁ f = blsub.{_, v} o₂ fun a h => f a (h.trans_eq ho.symm) := by
subst ho
-- Porting note: `rfl` is required.
rfl
#align ordinal.blsub_congr Ordinal.blsub_congr
theorem blsub_le_iff {o : Ordinal.{u}} {f : ∀ a < o, Ordinal.{max u v}} {a} :
blsub.{_, v} o f ≤ a ↔ ∀ i h, f i h < a := by
convert bsup_le_iff.{_, v} (f := fun a ha => succ (f a ha)) (a := a) using 2
simp_rw [succ_le_iff]
#align ordinal.blsub_le_iff Ordinal.blsub_le_iff
theorem blsub_le {o : Ordinal} {f : ∀ b < o, Ordinal} {a} : (∀ i h, f i h < a) → blsub o f ≤ a :=
blsub_le_iff.2
#align ordinal.blsub_le Ordinal.blsub_le
theorem lt_blsub {o} (f : ∀ a < o, Ordinal) (i h) : f i h < blsub o f :=
blsub_le_iff.1 le_rfl _ _
#align ordinal.lt_blsub Ordinal.lt_blsub
theorem lt_blsub_iff {o : Ordinal.{u}} {f : ∀ b < o, Ordinal.{max u v}} {a} :
a < blsub.{_, v} o f ↔ ∃ i hi, a ≤ f i hi := by
simpa only [not_forall, not_lt, not_le] using not_congr (@blsub_le_iff.{_, v} _ f a)
#align ordinal.lt_blsub_iff Ordinal.lt_blsub_iff
theorem bsup_le_blsub {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
bsup.{_, v} o f ≤ blsub.{_, v} o f :=
bsup_le fun i h => (lt_blsub f i h).le
#align ordinal.bsup_le_blsub Ordinal.bsup_le_blsub
theorem blsub_le_bsup_succ {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
blsub.{_, v} o f ≤ succ (bsup.{_, v} o f) :=
blsub_le fun i h => lt_succ_iff.2 (le_bsup f i h)
#align ordinal.blsub_le_bsup_succ Ordinal.blsub_le_bsup_succ
theorem bsup_eq_blsub_or_succ_bsup_eq_blsub {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
bsup.{_, v} o f = blsub.{_, v} o f ∨ succ (bsup.{_, v} o f) = blsub.{_, v} o f := by
rw [← sup_eq_bsup, ← lsub_eq_blsub]
exact sup_eq_lsub_or_sup_succ_eq_lsub _
#align ordinal.bsup_eq_blsub_or_succ_bsup_eq_blsub Ordinal.bsup_eq_blsub_or_succ_bsup_eq_blsub
theorem bsup_succ_le_blsub {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
succ (bsup.{_, v} o f) ≤ blsub.{_, v} o f ↔ ∃ i hi, f i hi = bsup.{_, v} o f := by
refine ⟨fun h => ?_, ?_⟩
· by_contra! hf
exact
ne_of_lt (succ_le_iff.1 h)
(le_antisymm (bsup_le_blsub f) (blsub_le (lt_bsup_of_ne_bsup.1 hf)))
rintro ⟨_, _, hf⟩
rw [succ_le_iff, ← hf]
exact lt_blsub _ _ _
#align ordinal.bsup_succ_le_blsub Ordinal.bsup_succ_le_blsub
theorem bsup_succ_eq_blsub {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
succ (bsup.{_, v} o f) = blsub.{_, v} o f ↔ ∃ i hi, f i hi = bsup.{_, v} o f :=
(blsub_le_bsup_succ f).le_iff_eq.symm.trans (bsup_succ_le_blsub f)
#align ordinal.bsup_succ_eq_blsub Ordinal.bsup_succ_eq_blsub
theorem bsup_eq_blsub_iff_succ {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
bsup.{_, v} o f = blsub.{_, v} o f ↔ ∀ a < blsub.{_, v} o f, succ a < blsub.{_, v} o f := by
rw [← sup_eq_bsup, ← lsub_eq_blsub]
apply sup_eq_lsub_iff_succ
#align ordinal.bsup_eq_blsub_iff_succ Ordinal.bsup_eq_blsub_iff_succ
theorem bsup_eq_blsub_iff_lt_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) :
bsup.{_, v} o f = blsub.{_, v} o f ↔ ∀ i hi, f i hi < bsup.{_, v} o f :=
⟨fun h i => by
rw [h]
apply lt_blsub, fun h => le_antisymm (bsup_le_blsub f) (blsub_le h)⟩
#align ordinal.bsup_eq_blsub_iff_lt_bsup Ordinal.bsup_eq_blsub_iff_lt_bsup
theorem bsup_eq_blsub_of_lt_succ_limit {o : Ordinal.{u}} (ho : IsLimit o)
{f : ∀ a < o, Ordinal.{max u v}} (hf : ∀ a ha, f a ha < f (succ a) (ho.2 a ha)) :
bsup.{_, v} o f = blsub.{_, v} o f := by
rw [bsup_eq_blsub_iff_lt_bsup]
exact fun i hi => (hf i hi).trans_le (le_bsup f _ _)
#align ordinal.bsup_eq_blsub_of_lt_succ_limit Ordinal.bsup_eq_blsub_of_lt_succ_limit
theorem blsub_succ_of_mono {o : Ordinal.{u}} {f : ∀ a < succ o, Ordinal.{max u v}}
(hf : ∀ {i j} (hi hj), i ≤ j → f i hi ≤ f j hj) : blsub.{_, v} _ f = succ (f o (lt_succ o)) :=
bsup_succ_of_mono fun {_ _} hi hj h => succ_le_succ (hf hi hj h)
#align ordinal.blsub_succ_of_mono Ordinal.blsub_succ_of_mono
@[simp]
theorem blsub_eq_zero_iff {o} {f : ∀ a < o, Ordinal} : blsub o f = 0 ↔ o = 0 := by
rw [← lsub_eq_blsub, lsub_eq_zero_iff]
exact out_empty_iff_eq_zero
#align ordinal.blsub_eq_zero_iff Ordinal.blsub_eq_zero_iff
-- Porting note: `rwa` → `rw`
@[simp]
theorem blsub_zero (f : ∀ a < (0 : Ordinal), Ordinal) : blsub 0 f = 0 := by rw [blsub_eq_zero_iff]
#align ordinal.blsub_zero Ordinal.blsub_zero
theorem blsub_pos {o : Ordinal} (ho : 0 < o) (f : ∀ a < o, Ordinal) : 0 < blsub o f :=
(Ordinal.zero_le _).trans_lt (lt_blsub f 0 ho)
#align ordinal.blsub_pos Ordinal.blsub_pos
theorem blsub_type {α : Type u} (r : α → α → Prop) [IsWellOrder α r]
(f : ∀ a < type r, Ordinal.{max u v}) :
blsub.{_, v} (type r) f = lsub.{_, v} fun a => f (typein r a) (typein_lt_type _ _) :=
eq_of_forall_ge_iff fun o => by
rw [blsub_le_iff, lsub_le_iff];
exact ⟨fun H b => H _ _, fun H i h => by simpa only [typein_enum] using H (enum r i h)⟩
#align ordinal.blsub_type Ordinal.blsub_type
theorem blsub_const {o : Ordinal} (ho : o ≠ 0) (a : Ordinal) :
(blsub.{u, v} o fun _ _ => a) = succ a :=
bsup_const.{u, v} ho (succ a)
#align ordinal.blsub_const Ordinal.blsub_const
@[simp]
theorem blsub_one (f : ∀ a < (1 : Ordinal), Ordinal) : blsub 1 f = succ (f 0 zero_lt_one) :=
bsup_one _
#align ordinal.blsub_one Ordinal.blsub_one
@[simp]
theorem blsub_id : ∀ o, (blsub.{u, u} o fun x _ => x) = o :=
lsub_typein
#align ordinal.blsub_id Ordinal.blsub_id
theorem bsup_id_limit {o : Ordinal} : (∀ a < o, succ a < o) → (bsup.{u, u} o fun x _ => x) = o :=
sup_typein_limit
#align ordinal.bsup_id_limit Ordinal.bsup_id_limit
@[simp]
theorem bsup_id_succ (o) : (bsup.{u, u} (succ o) fun x _ => x) = o :=
sup_typein_succ
#align ordinal.bsup_id_succ Ordinal.bsup_id_succ
theorem blsub_le_of_brange_subset {o o'} {f : ∀ a < o, Ordinal} {g : ∀ a < o', Ordinal}
(h : brange o f ⊆ brange o' g) : blsub.{u, max v w} o f ≤ blsub.{v, max u w} o' g :=
bsup_le_of_brange_subset.{u, v, w} fun a ⟨b, hb, hb'⟩ => by
obtain ⟨c, hc, hc'⟩ := h ⟨b, hb, rfl⟩
simp_rw [← hc'] at hb'
exact ⟨c, hc, hb'⟩
#align ordinal.blsub_le_of_brange_subset Ordinal.blsub_le_of_brange_subset
theorem blsub_eq_of_brange_eq {o o'} {f : ∀ a < o, Ordinal} {g : ∀ a < o', Ordinal}
(h : { o | ∃ i hi, f i hi = o } = { o | ∃ i hi, g i hi = o }) :
blsub.{u, max v w} o f = blsub.{v, max u w} o' g :=
(blsub_le_of_brange_subset.{u, v, w} h.le).antisymm (blsub_le_of_brange_subset.{v, u, w} h.ge)
#align ordinal.blsub_eq_of_brange_eq Ordinal.blsub_eq_of_brange_eq
theorem bsup_comp {o o' : Ordinal.{max u v}} {f : ∀ a < o, Ordinal.{max u v w}}
(hf : ∀ {i j} (hi) (hj), i ≤ j → f i hi ≤ f j hj) {g : ∀ a < o', Ordinal.{max u v}}
(hg : blsub.{_, u} o' g = o) :
(bsup.{_, w} o' fun a ha => f (g a ha) (by rw [← hg]; apply lt_blsub)) = bsup.{_, w} o f := by
apply le_antisymm <;> refine bsup_le fun i hi => ?_
· apply le_bsup
· rw [← hg, lt_blsub_iff] at hi
rcases hi with ⟨j, hj, hj'⟩
exact (hf _ _ hj').trans (le_bsup _ _ _)
#align ordinal.bsup_comp Ordinal.bsup_comp
theorem blsub_comp {o o' : Ordinal.{max u v}} {f : ∀ a < o, Ordinal.{max u v w}}
(hf : ∀ {i j} (hi) (hj), i ≤ j → f i hi ≤ f j hj) {g : ∀ a < o', Ordinal.{max u v}}
(hg : blsub.{_, u} o' g = o) :
(blsub.{_, w} o' fun a ha => f (g a ha) (by rw [← hg]; apply lt_blsub)) = blsub.{_, w} o f :=
@bsup_comp.{u, v, w} o _ (fun a ha => succ (f a ha))
(fun {_ _} _ _ h => succ_le_succ_iff.2 (hf _ _ h)) g hg
#align ordinal.blsub_comp Ordinal.blsub_comp
theorem IsNormal.bsup_eq {f : Ordinal.{u} → Ordinal.{max u v}} (H : IsNormal f) {o : Ordinal.{u}}
(h : IsLimit o) : (Ordinal.bsup.{_, v} o fun x _ => f x) = f o := by
rw [← IsNormal.bsup.{u, u, v} H (fun x _ => x) h.1, bsup_id_limit h.2]
#align ordinal.is_normal.bsup_eq Ordinal.IsNormal.bsup_eq
theorem IsNormal.blsub_eq {f : Ordinal.{u} → Ordinal.{max u v}} (H : IsNormal f) {o : Ordinal.{u}}
(h : IsLimit o) : (blsub.{_, v} o fun x _ => f x) = f o := by
rw [← IsNormal.bsup_eq.{u, v} H h, bsup_eq_blsub_of_lt_succ_limit h]
exact fun a _ => H.1 a
#align ordinal.is_normal.blsub_eq Ordinal.IsNormal.blsub_eq
theorem isNormal_iff_lt_succ_and_bsup_eq {f : Ordinal.{u} → Ordinal.{max u v}} :
IsNormal f ↔ (∀ a, f a < f (succ a)) ∧ ∀ o, IsLimit o → (bsup.{_, v} o fun x _ => f x) = f o :=
⟨fun h => ⟨h.1, @IsNormal.bsup_eq f h⟩, fun ⟨h₁, h₂⟩ =>
⟨h₁, fun o ho a => by
rw [← h₂ o ho]
exact bsup_le_iff⟩⟩
#align ordinal.is_normal_iff_lt_succ_and_bsup_eq Ordinal.isNormal_iff_lt_succ_and_bsup_eq
theorem isNormal_iff_lt_succ_and_blsub_eq {f : Ordinal.{u} → Ordinal.{max u v}} :
IsNormal f ↔ (∀ a, f a < f (succ a)) ∧
∀ o, IsLimit o → (blsub.{_, v} o fun x _ => f x) = f o := by
rw [isNormal_iff_lt_succ_and_bsup_eq.{u, v}, and_congr_right_iff]
intro h
constructor <;> intro H o ho <;> have := H o ho <;>
rwa [← bsup_eq_blsub_of_lt_succ_limit ho fun a _ => h a] at *
#align ordinal.is_normal_iff_lt_succ_and_blsub_eq Ordinal.isNormal_iff_lt_succ_and_blsub_eq
theorem IsNormal.eq_iff_zero_and_succ {f g : Ordinal.{u} → Ordinal.{u}} (hf : IsNormal f)
(hg : IsNormal g) : f = g ↔ f 0 = g 0 ∧ ∀ a, f a = g a → f (succ a) = g (succ a) :=
⟨fun h => by simp [h], fun ⟨h₁, h₂⟩ =>
funext fun a => by
induction' a using limitRecOn with _ _ _ ho H
any_goals solve_by_elim
rw [← IsNormal.bsup_eq.{u, u} hf ho, ← IsNormal.bsup_eq.{u, u} hg ho]
congr
ext b hb
exact H b hb⟩
#align ordinal.is_normal.eq_iff_zero_and_succ Ordinal.IsNormal.eq_iff_zero_and_succ
def blsub₂ (o₁ o₂ : Ordinal) (op : {a : Ordinal} → (a < o₁) → {b : Ordinal} → (b < o₂) → Ordinal) :
Ordinal :=
lsub (fun x : o₁.out.α × o₂.out.α => op (typein_lt_self x.1) (typein_lt_self x.2))
#align ordinal.blsub₂ Ordinal.blsub₂
theorem lt_blsub₂ {o₁ o₂ : Ordinal}
(op : {a : Ordinal} → (a < o₁) → {b : Ordinal} → (b < o₂) → Ordinal) {a b : Ordinal}
(ha : a < o₁) (hb : b < o₂) : op ha hb < blsub₂ o₁ o₂ op := by
convert lt_lsub _ (Prod.mk (enum (· < ·) a (by rwa [type_lt]))
(enum (· < ·) b (by rwa [type_lt])))
simp only [typein_enum]
#align ordinal.lt_blsub₂ Ordinal.lt_blsub₂
def mex {ι : Type u} (f : ι → Ordinal.{max u v}) : Ordinal :=
sInf (Set.range f)ᶜ
#align ordinal.mex Ordinal.mex
theorem mex_not_mem_range {ι : Type u} (f : ι → Ordinal.{max u v}) : mex.{_, v} f ∉ Set.range f :=
csInf_mem (nonempty_compl_range.{_, v} f)
#align ordinal.mex_not_mem_range Ordinal.mex_not_mem_range
| Mathlib/SetTheory/Ordinal/Arithmetic.lean | 2,025 | 2,028 | theorem le_mex_of_forall {ι : Type u} {f : ι → Ordinal.{max u v}} {a : Ordinal}
(H : ∀ b < a, ∃ i, f i = b) : a ≤ mex.{_, v} f := by |
by_contra! h
exact mex_not_mem_range f (H _ h)
|
import Mathlib.RingTheory.Ideal.Cotangent
import Mathlib.RingTheory.QuotientNilpotent
import Mathlib.RingTheory.TensorProduct.Basic
import Mathlib.RingTheory.FinitePresentation
import Mathlib.RingTheory.Localization.Away.Basic
import Mathlib.RingTheory.Localization.Away.AdjoinRoot
#align_import ring_theory.etale from "leanprover-community/mathlib"@"73f96237417835f148a1f7bc1ff55f67119b7166"
-- Porting note: added to make the syntax work below.
open scoped TensorProduct
universe u
namespace Algebra
section
variable (R : Type u) [CommSemiring R]
variable (A : Type u) [Semiring A] [Algebra R A]
@[mk_iff]
class FormallySmooth : Prop where
comp_surjective :
∀ ⦃B : Type u⦄ [CommRing B],
∀ [Algebra R B] (I : Ideal B) (_ : I ^ 2 = ⊥),
Function.Surjective ((Ideal.Quotient.mkₐ R I).comp : (A →ₐ[R] B) → A →ₐ[R] B ⧸ I)
#align algebra.formally_smooth Algebra.FormallySmooth
end
namespace FormallySmooth
section
variable {R : Type u} [CommSemiring R]
variable {A : Type u} [Semiring A] [Algebra R A]
variable {B : Type u} [CommRing B] [Algebra R B] (I : Ideal B)
theorem exists_lift {B : Type u} [CommRing B] [_RB : Algebra R B]
[FormallySmooth R A] (I : Ideal B) (hI : IsNilpotent I) (g : A →ₐ[R] B ⧸ I) :
∃ f : A →ₐ[R] B, (Ideal.Quotient.mkₐ R I).comp f = g := by
revert g
change Function.Surjective (Ideal.Quotient.mkₐ R I).comp
revert _RB
apply Ideal.IsNilpotent.induction_on (R := B) I hI
· intro B _ I hI _; exact FormallySmooth.comp_surjective I hI
· intro B _ I J hIJ h₁ h₂ _ g
let this : ((B ⧸ I) ⧸ J.map (Ideal.Quotient.mk I)) ≃ₐ[R] B ⧸ J :=
{
(DoubleQuot.quotQuotEquivQuotSup I J).trans
(Ideal.quotEquivOfEq (sup_eq_right.mpr hIJ)) with
commutes' := fun x => rfl }
obtain ⟨g', e⟩ := h₂ (this.symm.toAlgHom.comp g)
obtain ⟨g', rfl⟩ := h₁ g'
replace e := congr_arg this.toAlgHom.comp e
conv_rhs at e =>
rw [← AlgHom.comp_assoc, AlgEquiv.toAlgHom_eq_coe, AlgEquiv.toAlgHom_eq_coe,
AlgEquiv.comp_symm, AlgHom.id_comp]
exact ⟨g', e⟩
#align algebra.formally_smooth.exists_lift Algebra.FormallySmooth.exists_lift
noncomputable def lift [FormallySmooth R A] (I : Ideal B) (hI : IsNilpotent I)
(g : A →ₐ[R] B ⧸ I) : A →ₐ[R] B :=
(FormallySmooth.exists_lift I hI g).choose
#align algebra.formally_smooth.lift Algebra.FormallySmooth.lift
@[simp]
theorem comp_lift [FormallySmooth R A] (I : Ideal B) (hI : IsNilpotent I)
(g : A →ₐ[R] B ⧸ I) : (Ideal.Quotient.mkₐ R I).comp (FormallySmooth.lift I hI g) = g :=
(FormallySmooth.exists_lift I hI g).choose_spec
#align algebra.formally_smooth.comp_lift Algebra.FormallySmooth.comp_lift
@[simp]
theorem mk_lift [FormallySmooth R A] (I : Ideal B) (hI : IsNilpotent I)
(g : A →ₐ[R] B ⧸ I) (x : A) : Ideal.Quotient.mk I (FormallySmooth.lift I hI g x) = g x :=
AlgHom.congr_fun (FormallySmooth.comp_lift I hI g : _) x
#align algebra.formally_smooth.mk_lift Algebra.FormallySmooth.mk_lift
variable {C : Type u} [CommRing C] [Algebra R C]
noncomputable def liftOfSurjective [FormallySmooth R A] (f : A →ₐ[R] C)
(g : B →ₐ[R] C) (hg : Function.Surjective g) (hg' : IsNilpotent <| RingHom.ker (g : B →+* C)) :
A →ₐ[R] B :=
FormallySmooth.lift _ hg' ((Ideal.quotientKerAlgEquivOfSurjective hg).symm.toAlgHom.comp f)
#align algebra.formally_smooth.lift_of_surjective Algebra.FormallySmooth.liftOfSurjective
@[simp]
theorem liftOfSurjective_apply [FormallySmooth R A] (f : A →ₐ[R] C) (g : B →ₐ[R] C)
(hg : Function.Surjective g) (hg' : IsNilpotent <| RingHom.ker (g : B →+* C)) (x : A) :
g (FormallySmooth.liftOfSurjective f g hg hg' x) = f x := by
apply (Ideal.quotientKerAlgEquivOfSurjective hg).symm.injective
change _ = ((Ideal.quotientKerAlgEquivOfSurjective hg).symm.toAlgHom.comp f) x
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [← FormallySmooth.mk_lift _ hg'
((Ideal.quotientKerAlgEquivOfSurjective hg).symm.toAlgHom.comp f)]
apply (Ideal.quotientKerAlgEquivOfSurjective hg).injective
simp only [liftOfSurjective, AlgEquiv.apply_symm_apply, AlgEquiv.toAlgHom_eq_coe,
Ideal.quotientKerAlgEquivOfSurjective_apply, RingHom.kerLift_mk, RingHom.coe_coe]
#align algebra.formally_smooth.lift_of_surjective_apply Algebra.FormallySmooth.liftOfSurjective_apply
@[simp]
theorem comp_liftOfSurjective [FormallySmooth R A] (f : A →ₐ[R] C) (g : B →ₐ[R] C)
(hg : Function.Surjective g) (hg' : IsNilpotent <| RingHom.ker (g : B →+* C)) :
g.comp (FormallySmooth.liftOfSurjective f g hg hg') = f :=
AlgHom.ext (FormallySmooth.liftOfSurjective_apply f g hg hg')
#align algebra.formally_smooth.comp_lift_of_surjective Algebra.FormallySmooth.comp_liftOfSurjective
end
section OfSurjective
variable {R S : Type u} [CommRing R] [CommSemiring S]
variable {P A : Type u} [CommRing A] [Algebra R A] [CommRing P] [Algebra R P]
variable (I : Ideal P) (f : P →ₐ[R] A) (hf : Function.Surjective f)
set_option backward.isDefEq.lazyWhnfCore false in -- See https://github.com/leanprover-community/mathlib4/issues/12534
theorem of_split [FormallySmooth R P] (g : A →ₐ[R] P ⧸ (RingHom.ker f.toRingHom) ^ 2)
(hg : f.kerSquareLift.comp g = AlgHom.id R A) : FormallySmooth R A := by
constructor
intro C _ _ I hI i
let l : P ⧸ (RingHom.ker f.toRingHom) ^ 2 →ₐ[R] C := by
refine Ideal.Quotient.liftₐ _ (FormallySmooth.lift I ⟨2, hI⟩ (i.comp f)) ?_
have : RingHom.ker f ≤ I.comap (FormallySmooth.lift I ⟨2, hI⟩ (i.comp f)) := by
rintro x (hx : f x = 0)
have : _ = i (f x) := (FormallySmooth.mk_lift I ⟨2, hI⟩ (i.comp f) x : _)
rwa [hx, map_zero, ← Ideal.Quotient.mk_eq_mk, Submodule.Quotient.mk_eq_zero] at this
intro x hx
have := (Ideal.pow_right_mono this 2).trans (Ideal.le_comap_pow _ 2) hx
rwa [hI] at this
have : i.comp f.kerSquareLift = (Ideal.Quotient.mkₐ R _).comp l := by
apply AlgHom.coe_ringHom_injective
apply Ideal.Quotient.ringHom_ext
ext x
exact (FormallySmooth.mk_lift I ⟨2, hI⟩ (i.comp f) x).symm
exact ⟨l.comp g, by rw [← AlgHom.comp_assoc, ← this, AlgHom.comp_assoc, hg, AlgHom.comp_id]⟩
#align algebra.formally_smooth.of_split Algebra.FormallySmooth.of_split
| Mathlib/RingTheory/Smooth/Basic.lean | 235 | 266 | theorem iff_split_surjection [FormallySmooth R P] :
FormallySmooth R A ↔ ∃ g, f.kerSquareLift.comp g = AlgHom.id R A := by |
constructor
· intro
have surj : Function.Surjective f.kerSquareLift := fun x =>
⟨Submodule.Quotient.mk (hf x).choose, (hf x).choose_spec⟩
have sqz : RingHom.ker f.kerSquareLift.toRingHom ^ 2 = 0 := by
rw [AlgHom.ker_kerSquareLift, Ideal.cotangentIdeal_square, Ideal.zero_eq_bot]
refine
⟨FormallySmooth.lift _ ⟨2, sqz⟩ (Ideal.quotientKerAlgEquivOfSurjective surj).symm.toAlgHom,
?_⟩
ext x
have :=
(Ideal.quotientKerAlgEquivOfSurjective surj).toAlgHom.congr_arg
(FormallySmooth.mk_lift _ ⟨2, sqz⟩
(Ideal.quotientKerAlgEquivOfSurjective surj).symm.toAlgHom x)
-- Porting note: was
-- dsimp at this
-- rw [AlgEquiv.apply_symm_apply] at this
erw [AlgEquiv.apply_symm_apply] at this
conv_rhs => rw [← this, AlgHom.id_apply]
rfl
-- Porting note: lean3 was not finished here:
-- obtain ⟨y, e⟩ :=
-- Ideal.Quotient.mk_surjective
-- (FormallySmooth.lift _ ⟨2, sqz⟩
-- (Ideal.quotientKerAlgEquivOfSurjective surj).symm.toAlgHom
-- x)
-- dsimp at e ⊢
-- rw [← e]
-- rfl
· rintro ⟨g, hg⟩; exact FormallySmooth.of_split f g hg
|
import Mathlib.Algebra.Order.BigOperators.Ring.Finset
import Mathlib.Analysis.Convex.Hull
import Mathlib.LinearAlgebra.AffineSpace.Basis
#align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
open Set Function
open scoped Classical
open Pointwise
universe u u'
variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E]
[AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α]
[OrderedSMul R α] {s : Set E}
def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E :=
(∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i
#align finset.center_mass Finset.centerMass
variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E)
open Finset
theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by
simp only [centerMass, sum_empty, smul_zero]
#align finset.center_mass_empty Finset.centerMass_empty
theorem Finset.centerMass_pair (hne : i ≠ j) :
({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by
simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul]
#align finset.center_mass_pair Finset.centerMass_pair
variable {w}
theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) :
(insert i t).centerMass w z =
(w i / (w i + ∑ j ∈ t, w j)) • z i +
((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by
simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul]
congr 2
rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div]
#align finset.center_mass_insert Finset.centerMass_insert
theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by
rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul]
#align finset.center_mass_singleton Finset.centerMass_singleton
@[simp] lemma Finset.centerMass_neg_left : t.centerMass (-w) z = t.centerMass w z := by
simp [centerMass, inv_neg]
lemma Finset.centerMass_smul_left {c : R'} [Module R' R] [Module R' E] [SMulCommClass R' R R]
[IsScalarTower R' R R] [SMulCommClass R R' E] [IsScalarTower R' R E] (hc : c ≠ 0) :
t.centerMass (c • w) z = t.centerMass w z := by
simp [centerMass, -smul_assoc, smul_assoc c, ← smul_sum, smul_inv₀, smul_smul_smul_comm, hc]
theorem Finset.centerMass_eq_of_sum_1 (hw : ∑ i ∈ t, w i = 1) :
t.centerMass w z = ∑ i ∈ t, w i • z i := by
simp only [Finset.centerMass, hw, inv_one, one_smul]
#align finset.center_mass_eq_of_sum_1 Finset.centerMass_eq_of_sum_1
theorem Finset.centerMass_smul : (t.centerMass w fun i => c • z i) = c • t.centerMass w z := by
simp only [Finset.centerMass, Finset.smul_sum, (mul_smul _ _ _).symm, mul_comm c, mul_assoc]
#align finset.center_mass_smul Finset.centerMass_smul
theorem Finset.centerMass_segment' (s : Finset ι) (t : Finset ι') (ws : ι → R) (zs : ι → E)
(wt : ι' → R) (zt : ι' → E) (hws : ∑ i ∈ s, ws i = 1) (hwt : ∑ i ∈ t, wt i = 1) (a b : R)
(hab : a + b = 1) : a • s.centerMass ws zs + b • t.centerMass wt zt = (s.disjSum t).centerMass
(Sum.elim (fun i => a * ws i) fun j => b * wt j) (Sum.elim zs zt) := by
rw [s.centerMass_eq_of_sum_1 _ hws, t.centerMass_eq_of_sum_1 _ hwt, smul_sum, smul_sum, ←
Finset.sum_sum_elim, Finset.centerMass_eq_of_sum_1]
· congr with ⟨⟩ <;> simp only [Sum.elim_inl, Sum.elim_inr, mul_smul]
· rw [sum_sum_elim, ← mul_sum, ← mul_sum, hws, hwt, mul_one, mul_one, hab]
#align finset.center_mass_segment' Finset.centerMass_segment'
theorem Finset.centerMass_segment (s : Finset ι) (w₁ w₂ : ι → R) (z : ι → E)
(hw₁ : ∑ i ∈ s, w₁ i = 1) (hw₂ : ∑ i ∈ s, w₂ i = 1) (a b : R) (hab : a + b = 1) :
a • s.centerMass w₁ z + b • s.centerMass w₂ z =
s.centerMass (fun i => a * w₁ i + b * w₂ i) z := by
have hw : (∑ i ∈ s, (a * w₁ i + b * w₂ i)) = 1 := by
simp only [← mul_sum, sum_add_distrib, mul_one, *]
simp only [Finset.centerMass_eq_of_sum_1, Finset.centerMass_eq_of_sum_1 _ _ hw,
smul_sum, sum_add_distrib, add_smul, mul_smul, *]
#align finset.center_mass_segment Finset.centerMass_segment
theorem Finset.centerMass_ite_eq (hi : i ∈ t) :
t.centerMass (fun j => if i = j then (1 : R) else 0) z = z i := by
rw [Finset.centerMass_eq_of_sum_1]
· trans ∑ j ∈ t, if i = j then z i else 0
· congr with i
split_ifs with h
exacts [h ▸ one_smul _ _, zero_smul _ _]
· rw [sum_ite_eq, if_pos hi]
· rw [sum_ite_eq, if_pos hi]
#align finset.center_mass_ite_eq Finset.centerMass_ite_eq
variable {t}
theorem Finset.centerMass_subset {t' : Finset ι} (ht : t ⊆ t') (h : ∀ i ∈ t', i ∉ t → w i = 0) :
t.centerMass w z = t'.centerMass w z := by
rw [centerMass, sum_subset ht h, smul_sum, centerMass, smul_sum]
apply sum_subset ht
intro i hit' hit
rw [h i hit' hit, zero_smul, smul_zero]
#align finset.center_mass_subset Finset.centerMass_subset
theorem Finset.centerMass_filter_ne_zero :
(t.filter fun i => w i ≠ 0).centerMass w z = t.centerMass w z :=
Finset.centerMass_subset z (filter_subset _ _) fun i hit hit' => by
simpa only [hit, mem_filter, true_and_iff, Ne, Classical.not_not] using hit'
#align finset.center_mass_filter_ne_zero Finset.centerMass_filter_ne_zero
variable {z}
lemma Finset.centerMass_of_sum_add_sum_eq_zero {s t : Finset ι}
(hw : ∑ i ∈ s, w i + ∑ i ∈ t, w i = 0) (hz : ∑ i ∈ s, w i • z i + ∑ i ∈ t, w i • z i = 0) :
s.centerMass w z = t.centerMass w z := by
simp [centerMass, eq_neg_of_add_eq_zero_right hw, eq_neg_of_add_eq_zero_left hz, ← neg_inv]
theorem Convex.centerMass_mem (hs : Convex R s) :
(∀ i ∈ t, 0 ≤ w i) → (0 < ∑ i ∈ t, w i) → (∀ i ∈ t, z i ∈ s) → t.centerMass w z ∈ s := by
induction' t using Finset.induction with i t hi ht
· simp [lt_irrefl]
intro h₀ hpos hmem
have zi : z i ∈ s := hmem _ (mem_insert_self _ _)
have hs₀ : ∀ j ∈ t, 0 ≤ w j := fun j hj => h₀ j <| mem_insert_of_mem hj
rw [sum_insert hi] at hpos
by_cases hsum_t : ∑ j ∈ t, w j = 0
· have ws : ∀ j ∈ t, w j = 0 := (sum_eq_zero_iff_of_nonneg hs₀).1 hsum_t
have wz : ∑ j ∈ t, w j • z j = 0 := sum_eq_zero fun i hi => by simp [ws i hi]
simp only [centerMass, sum_insert hi, wz, hsum_t, add_zero]
simp only [hsum_t, add_zero] at hpos
rw [← mul_smul, inv_mul_cancel (ne_of_gt hpos), one_smul]
exact zi
· rw [Finset.centerMass_insert _ _ _ hi hsum_t]
refine convex_iff_div.1 hs zi (ht hs₀ ?_ ?_) ?_ (sum_nonneg hs₀) hpos
· exact lt_of_le_of_ne (sum_nonneg hs₀) (Ne.symm hsum_t)
· intro j hj
exact hmem j (mem_insert_of_mem hj)
· exact h₀ _ (mem_insert_self _ _)
#align convex.center_mass_mem Convex.centerMass_mem
theorem Convex.sum_mem (hs : Convex R s) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : ∑ i ∈ t, w i = 1)
(hz : ∀ i ∈ t, z i ∈ s) : (∑ i ∈ t, w i • z i) ∈ s := by
simpa only [h₁, centerMass, inv_one, one_smul] using
hs.centerMass_mem h₀ (h₁.symm ▸ zero_lt_one) hz
#align convex.sum_mem Convex.sum_mem
theorem Convex.finsum_mem {ι : Sort*} {w : ι → R} {z : ι → E} {s : Set E} (hs : Convex R s)
(h₀ : ∀ i, 0 ≤ w i) (h₁ : ∑ᶠ i, w i = 1) (hz : ∀ i, w i ≠ 0 → z i ∈ s) :
(∑ᶠ i, w i • z i) ∈ s := by
have hfin_w : (support (w ∘ PLift.down)).Finite := by
by_contra H
rw [finsum, dif_neg H] at h₁
exact zero_ne_one h₁
have hsub : support ((fun i => w i • z i) ∘ PLift.down) ⊆ hfin_w.toFinset :=
(support_smul_subset_left _ _).trans hfin_w.coe_toFinset.ge
rw [finsum_eq_sum_plift_of_support_subset hsub]
refine hs.sum_mem (fun _ _ => h₀ _) ?_ fun i hi => hz _ ?_
· rwa [finsum, dif_pos hfin_w] at h₁
· rwa [hfin_w.mem_toFinset] at hi
#align convex.finsum_mem Convex.finsum_mem
theorem convex_iff_sum_mem : Convex R s ↔ ∀ (t : Finset E) (w : E → R),
(∀ i ∈ t, 0 ≤ w i) → ∑ i ∈ t, w i = 1 → (∀ x ∈ t, x ∈ s) → (∑ x ∈ t, w x • x) ∈ s := by
refine ⟨fun hs t w hw₀ hw₁ hts => hs.sum_mem hw₀ hw₁ hts, ?_⟩
intro h x hx y hy a b ha hb hab
by_cases h_cases : x = y
· rw [h_cases, ← add_smul, hab, one_smul]
exact hy
· convert h {x, y} (fun z => if z = y then b else a) _ _ _
-- Porting note: Original proof had 2 `simp_intro i hi`
· simp only [sum_pair h_cases, if_neg h_cases, if_pos trivial]
· intro i _
simp only
split_ifs <;> assumption
· simp only [sum_pair h_cases, if_neg h_cases, if_pos trivial, hab]
· intro i hi
simp only [Finset.mem_singleton, Finset.mem_insert] at hi
cases hi <;> subst i <;> assumption
#align convex_iff_sum_mem convex_iff_sum_mem
theorem Finset.centerMass_mem_convexHull (t : Finset ι) {w : ι → R} (hw₀ : ∀ i ∈ t, 0 ≤ w i)
(hws : 0 < ∑ i ∈ t, w i) {z : ι → E} (hz : ∀ i ∈ t, z i ∈ s) :
t.centerMass w z ∈ convexHull R s :=
(convex_convexHull R s).centerMass_mem hw₀ hws fun i hi => subset_convexHull R s <| hz i hi
#align finset.center_mass_mem_convex_hull Finset.centerMass_mem_convexHull
lemma Finset.centerMass_mem_convexHull_of_nonpos (t : Finset ι) (hw₀ : ∀ i ∈ t, w i ≤ 0)
(hws : ∑ i ∈ t, w i < 0) (hz : ∀ i ∈ t, z i ∈ s) : t.centerMass w z ∈ convexHull R s := by
rw [← centerMass_neg_left]
exact Finset.centerMass_mem_convexHull _ (fun _i hi ↦ neg_nonneg.2 <| hw₀ _ hi) (by simpa) hz
theorem Finset.centerMass_id_mem_convexHull (t : Finset E) {w : E → R} (hw₀ : ∀ i ∈ t, 0 ≤ w i)
(hws : 0 < ∑ i ∈ t, w i) : t.centerMass w id ∈ convexHull R (t : Set E) :=
t.centerMass_mem_convexHull hw₀ hws fun _ => mem_coe.2
#align finset.center_mass_id_mem_convex_hull Finset.centerMass_id_mem_convexHull
lemma Finset.centerMass_id_mem_convexHull_of_nonpos (t : Finset E) {w : E → R}
(hw₀ : ∀ i ∈ t, w i ≤ 0) (hws : ∑ i ∈ t, w i < 0) :
t.centerMass w id ∈ convexHull R (t : Set E) :=
t.centerMass_mem_convexHull_of_nonpos hw₀ hws fun _ ↦ mem_coe.2
theorem affineCombination_eq_centerMass {ι : Type*} {t : Finset ι} {p : ι → E} {w : ι → R}
(hw₂ : ∑ i ∈ t, w i = 1) : t.affineCombination R p w = centerMass t w p := by
rw [affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one _ w _ hw₂ (0 : E),
Finset.weightedVSubOfPoint_apply, vadd_eq_add, add_zero, t.centerMass_eq_of_sum_1 _ hw₂]
simp_rw [vsub_eq_sub, sub_zero]
#align affine_combination_eq_center_mass affineCombination_eq_centerMass
theorem affineCombination_mem_convexHull {s : Finset ι} {v : ι → E} {w : ι → R}
(hw₀ : ∀ i ∈ s, 0 ≤ w i) (hw₁ : s.sum w = 1) :
s.affineCombination R v w ∈ convexHull R (range v) := by
rw [affineCombination_eq_centerMass hw₁]
apply s.centerMass_mem_convexHull hw₀
· simp [hw₁]
· simp
#align affine_combination_mem_convex_hull affineCombination_mem_convexHull
@[simp]
theorem Finset.centroid_eq_centerMass (s : Finset ι) (hs : s.Nonempty) (p : ι → E) :
s.centroid R p = s.centerMass (s.centroidWeights R) p :=
affineCombination_eq_centerMass (s.sum_centroidWeights_eq_one_of_nonempty R hs)
#align finset.centroid_eq_center_mass Finset.centroid_eq_centerMass
theorem Finset.centroid_mem_convexHull (s : Finset E) (hs : s.Nonempty) :
s.centroid R id ∈ convexHull R (s : Set E) := by
rw [s.centroid_eq_centerMass hs]
apply s.centerMass_id_mem_convexHull
· simp only [inv_nonneg, imp_true_iff, Nat.cast_nonneg, Finset.centroidWeights_apply]
· have hs_card : (s.card : R) ≠ 0 := by simp [Finset.nonempty_iff_ne_empty.mp hs]
simp only [hs_card, Finset.sum_const, nsmul_eq_mul, mul_inv_cancel, Ne, not_false_iff,
Finset.centroidWeights_apply, zero_lt_one]
#align finset.centroid_mem_convex_hull Finset.centroid_mem_convexHull
| Mathlib/Analysis/Convex/Combination.lean | 293 | 321 | theorem convexHull_range_eq_exists_affineCombination (v : ι → E) : convexHull R (range v) =
{ x | ∃ (s : Finset ι) (w : ι → R), (∀ i ∈ s, 0 ≤ w i) ∧ s.sum w = 1 ∧
s.affineCombination R v w = x } := by |
refine Subset.antisymm (convexHull_min ?_ ?_) ?_
· intro x hx
obtain ⟨i, hi⟩ := Set.mem_range.mp hx
exact ⟨{i}, Function.const ι (1 : R), by simp, by simp, by simp [hi]⟩
· rintro x ⟨s, w, hw₀, hw₁, rfl⟩ y ⟨s', w', hw₀', hw₁', rfl⟩ a b ha hb hab
let W : ι → R := fun i => (if i ∈ s then a * w i else 0) + if i ∈ s' then b * w' i else 0
have hW₁ : (s ∪ s').sum W = 1 := by
rw [sum_add_distrib, ← sum_subset subset_union_left,
← sum_subset subset_union_right, sum_ite_of_true _ _ fun i hi => hi,
sum_ite_of_true _ _ fun i hi => hi, ← mul_sum, ← mul_sum, hw₁, hw₁', ← add_mul, hab,
mul_one] <;> intro i _ hi' <;> simp [hi']
refine ⟨s ∪ s', W, ?_, hW₁, ?_⟩
· rintro i -
by_cases hi : i ∈ s <;> by_cases hi' : i ∈ s' <;>
simp [W, hi, hi', add_nonneg, mul_nonneg ha (hw₀ i _), mul_nonneg hb (hw₀' i _)]
· simp_rw [affineCombination_eq_linear_combination (s ∪ s') v _ hW₁,
affineCombination_eq_linear_combination s v w hw₁,
affineCombination_eq_linear_combination s' v w' hw₁', add_smul, sum_add_distrib]
rw [← sum_subset subset_union_left, ← sum_subset subset_union_right]
· simp only [ite_smul, sum_ite_of_true _ _ fun _ hi => hi, mul_smul, ← smul_sum]
· intro i _ hi'
simp [hi']
· intro i _ hi'
simp [hi']
· rintro x ⟨s, w, hw₀, hw₁, rfl⟩
exact affineCombination_mem_convexHull hw₀ hw₁
|
import Mathlib.Data.List.Infix
#align_import data.list.rdrop from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2"
-- Make sure we don't import algebra
assert_not_exists Monoid
variable {α : Type*} (p : α → Bool) (l : List α) (n : ℕ)
namespace List
def rdrop : List α :=
l.take (l.length - n)
#align list.rdrop List.rdrop
@[simp]
theorem rdrop_nil : rdrop ([] : List α) n = [] := by simp [rdrop]
#align list.rdrop_nil List.rdrop_nil
@[simp]
theorem rdrop_zero : rdrop l 0 = l := by simp [rdrop]
#align list.rdrop_zero List.rdrop_zero
theorem rdrop_eq_reverse_drop_reverse : l.rdrop n = reverse (l.reverse.drop n) := by
rw [rdrop]
induction' l using List.reverseRecOn with xs x IH generalizing n
· simp
· cases n
· simp [take_append]
· simp [take_append_eq_append_take, IH]
#align list.rdrop_eq_reverse_drop_reverse List.rdrop_eq_reverse_drop_reverse
@[simp]
theorem rdrop_concat_succ (x : α) : rdrop (l ++ [x]) (n + 1) = rdrop l n := by
simp [rdrop_eq_reverse_drop_reverse]
#align list.rdrop_concat_succ List.rdrop_concat_succ
def rtake : List α :=
l.drop (l.length - n)
#align list.rtake List.rtake
@[simp]
theorem rtake_nil : rtake ([] : List α) n = [] := by simp [rtake]
#align list.rtake_nil List.rtake_nil
@[simp]
theorem rtake_zero : rtake l 0 = [] := by simp [rtake]
#align list.rtake_zero List.rtake_zero
theorem rtake_eq_reverse_take_reverse : l.rtake n = reverse (l.reverse.take n) := by
rw [rtake]
induction' l using List.reverseRecOn with xs x IH generalizing n
· simp
· cases n
· exact drop_length _
· simp [drop_append_eq_append_drop, IH]
#align list.rtake_eq_reverse_take_reverse List.rtake_eq_reverse_take_reverse
@[simp]
theorem rtake_concat_succ (x : α) : rtake (l ++ [x]) (n + 1) = rtake l n ++ [x] := by
simp [rtake_eq_reverse_take_reverse]
#align list.rtake_concat_succ List.rtake_concat_succ
def rdropWhile : List α :=
reverse (l.reverse.dropWhile p)
#align list.rdrop_while List.rdropWhile
@[simp]
theorem rdropWhile_nil : rdropWhile p ([] : List α) = [] := by simp [rdropWhile, dropWhile]
#align list.rdrop_while_nil List.rdropWhile_nil
theorem rdropWhile_concat (x : α) :
rdropWhile p (l ++ [x]) = if p x then rdropWhile p l else l ++ [x] := by
simp only [rdropWhile, dropWhile, reverse_append, reverse_singleton, singleton_append]
split_ifs with h <;> simp [h]
#align list.rdrop_while_concat List.rdropWhile_concat
@[simp]
theorem rdropWhile_concat_pos (x : α) (h : p x) : rdropWhile p (l ++ [x]) = rdropWhile p l := by
rw [rdropWhile_concat, if_pos h]
#align list.rdrop_while_concat_pos List.rdropWhile_concat_pos
@[simp]
theorem rdropWhile_concat_neg (x : α) (h : ¬p x) : rdropWhile p (l ++ [x]) = l ++ [x] := by
rw [rdropWhile_concat, if_neg h]
#align list.rdrop_while_concat_neg List.rdropWhile_concat_neg
theorem rdropWhile_singleton (x : α) : rdropWhile p [x] = if p x then [] else [x] := by
rw [← nil_append [x], rdropWhile_concat, rdropWhile_nil]
#align list.rdrop_while_singleton List.rdropWhile_singleton
theorem rdropWhile_last_not (hl : l.rdropWhile p ≠ []) : ¬p ((rdropWhile p l).getLast hl) := by
simp_rw [rdropWhile]
rw [getLast_reverse]
exact dropWhile_nthLe_zero_not _ _ _
#align list.rdrop_while_last_not List.rdropWhile_last_not
theorem rdropWhile_prefix : l.rdropWhile p <+: l := by
rw [← reverse_suffix, rdropWhile, reverse_reverse]
exact dropWhile_suffix _
#align list.rdrop_while_prefix List.rdropWhile_prefix
variable {p} {l}
@[simp]
| Mathlib/Data/List/DropRight.lean | 139 | 139 | theorem rdropWhile_eq_nil_iff : rdropWhile p l = [] ↔ ∀ x ∈ l, p x := by | simp [rdropWhile]
|
import Mathlib.Algebra.CharP.Two
import Mathlib.Algebra.CharP.Reduced
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.GroupTheory.SpecificGroups.Cyclic
import Mathlib.NumberTheory.Divisors
import Mathlib.RingTheory.IntegralDomain
import Mathlib.Tactic.Zify
#align_import ring_theory.roots_of_unity.basic from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f"
open scoped Classical Polynomial
noncomputable section
open Polynomial
open Finset
variable {M N G R S F : Type*}
variable [CommMonoid M] [CommMonoid N] [DivisionCommMonoid G]
section rootsOfUnity
variable {k l : ℕ+}
def rootsOfUnity (k : ℕ+) (M : Type*) [CommMonoid M] : Subgroup Mˣ where
carrier := {ζ | ζ ^ (k : ℕ) = 1}
one_mem' := one_pow _
mul_mem' _ _ := by simp_all only [Set.mem_setOf_eq, mul_pow, one_mul]
inv_mem' _ := by simp_all only [Set.mem_setOf_eq, inv_pow, inv_one]
#align roots_of_unity rootsOfUnity
@[simp]
theorem mem_rootsOfUnity (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ ζ ^ (k : ℕ) = 1 :=
Iff.rfl
#align mem_roots_of_unity mem_rootsOfUnity
theorem mem_rootsOfUnity' (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ (ζ : M) ^ (k : ℕ) = 1 := by
rw [mem_rootsOfUnity]; norm_cast
#align mem_roots_of_unity' mem_rootsOfUnity'
@[simp]
theorem rootsOfUnity_one (M : Type*) [CommMonoid M] : rootsOfUnity 1 M = ⊥ := by ext; simp
theorem rootsOfUnity.coe_injective {n : ℕ+} :
Function.Injective (fun x : rootsOfUnity n M ↦ x.val.val) :=
Units.ext.comp fun _ _ => Subtype.eq
#align roots_of_unity.coe_injective rootsOfUnity.coe_injective
@[simps! coe_val]
def rootsOfUnity.mkOfPowEq (ζ : M) {n : ℕ+} (h : ζ ^ (n : ℕ) = 1) : rootsOfUnity n M :=
⟨Units.ofPowEqOne ζ n h n.ne_zero, Units.pow_ofPowEqOne _ _⟩
#align roots_of_unity.mk_of_pow_eq rootsOfUnity.mkOfPowEq
#align roots_of_unity.mk_of_pow_eq_coe_coe rootsOfUnity.val_mkOfPowEq_coe
@[simp]
theorem rootsOfUnity.coe_mkOfPowEq {ζ : M} {n : ℕ+} (h : ζ ^ (n : ℕ) = 1) :
((rootsOfUnity.mkOfPowEq _ h : Mˣ) : M) = ζ :=
rfl
#align roots_of_unity.coe_mk_of_pow_eq rootsOfUnity.coe_mkOfPowEq
theorem rootsOfUnity_le_of_dvd (h : k ∣ l) : rootsOfUnity k M ≤ rootsOfUnity l M := by
obtain ⟨d, rfl⟩ := h
intro ζ h
simp_all only [mem_rootsOfUnity, PNat.mul_coe, pow_mul, one_pow]
#align roots_of_unity_le_of_dvd rootsOfUnity_le_of_dvd
theorem map_rootsOfUnity (f : Mˣ →* Nˣ) (k : ℕ+) : (rootsOfUnity k M).map f ≤ rootsOfUnity k N := by
rintro _ ⟨ζ, h, rfl⟩
simp_all only [← map_pow, mem_rootsOfUnity, SetLike.mem_coe, MonoidHom.map_one]
#align map_roots_of_unity map_rootsOfUnity
@[norm_cast]
theorem rootsOfUnity.coe_pow [CommMonoid R] (ζ : rootsOfUnity k R) (m : ℕ) :
(((ζ ^ m :) : Rˣ) : R) = ((ζ : Rˣ) : R) ^ m := by
rw [Subgroup.coe_pow, Units.val_pow_eq_pow_val]
#align roots_of_unity.coe_pow rootsOfUnity.coe_pow
@[mk_iff IsPrimitiveRoot.iff_def]
structure IsPrimitiveRoot (ζ : M) (k : ℕ) : Prop where
pow_eq_one : ζ ^ (k : ℕ) = 1
dvd_of_pow_eq_one : ∀ l : ℕ, ζ ^ l = 1 → k ∣ l
#align is_primitive_root IsPrimitiveRoot
#align is_primitive_root.iff_def IsPrimitiveRoot.iff_def
@[simps!]
def IsPrimitiveRoot.toRootsOfUnity {μ : M} {n : ℕ+} (h : IsPrimitiveRoot μ n) : rootsOfUnity n M :=
rootsOfUnity.mkOfPowEq μ h.pow_eq_one
#align is_primitive_root.to_roots_of_unity IsPrimitiveRoot.toRootsOfUnity
#align is_primitive_root.coe_to_roots_of_unity_coe IsPrimitiveRoot.val_toRootsOfUnity_coe
#align is_primitive_root.coe_inv_to_roots_of_unity_coe IsPrimitiveRoot.val_inv_toRootsOfUnity_coe
namespace IsPrimitiveRoot
variable {k l : ℕ}
theorem mk_of_lt (ζ : M) (hk : 0 < k) (h1 : ζ ^ k = 1) (h : ∀ l : ℕ, 0 < l → l < k → ζ ^ l ≠ 1) :
IsPrimitiveRoot ζ k := by
refine ⟨h1, fun l hl => ?_⟩
suffices k.gcd l = k by exact this ▸ k.gcd_dvd_right l
rw [eq_iff_le_not_lt]
refine ⟨Nat.le_of_dvd hk (k.gcd_dvd_left l), ?_⟩
intro h'; apply h _ (Nat.gcd_pos_of_pos_left _ hk) h'
exact pow_gcd_eq_one _ h1 hl
#align is_primitive_root.mk_of_lt IsPrimitiveRoot.mk_of_lt
section CommMonoid
variable {ζ : M} {f : F} (h : IsPrimitiveRoot ζ k)
@[nontriviality]
theorem of_subsingleton [Subsingleton M] (x : M) : IsPrimitiveRoot x 1 :=
⟨Subsingleton.elim _ _, fun _ _ => one_dvd _⟩
#align is_primitive_root.of_subsingleton IsPrimitiveRoot.of_subsingleton
theorem pow_eq_one_iff_dvd (l : ℕ) : ζ ^ l = 1 ↔ k ∣ l :=
⟨h.dvd_of_pow_eq_one l, by
rintro ⟨i, rfl⟩; simp only [pow_mul, h.pow_eq_one, one_pow, PNat.mul_coe]⟩
#align is_primitive_root.pow_eq_one_iff_dvd IsPrimitiveRoot.pow_eq_one_iff_dvd
theorem isUnit (h : IsPrimitiveRoot ζ k) (h0 : 0 < k) : IsUnit ζ := by
apply isUnit_of_mul_eq_one ζ (ζ ^ (k - 1))
rw [← pow_succ', tsub_add_cancel_of_le h0.nat_succ_le, h.pow_eq_one]
#align is_primitive_root.is_unit IsPrimitiveRoot.isUnit
theorem pow_ne_one_of_pos_of_lt (h0 : 0 < l) (hl : l < k) : ζ ^ l ≠ 1 :=
mt (Nat.le_of_dvd h0 ∘ h.dvd_of_pow_eq_one _) <| not_le_of_lt hl
#align is_primitive_root.pow_ne_one_of_pos_of_lt IsPrimitiveRoot.pow_ne_one_of_pos_of_lt
theorem ne_one (hk : 1 < k) : ζ ≠ 1 :=
h.pow_ne_one_of_pos_of_lt zero_lt_one hk ∘ (pow_one ζ).trans
#align is_primitive_root.ne_one IsPrimitiveRoot.ne_one
theorem pow_inj (h : IsPrimitiveRoot ζ k) ⦃i j : ℕ⦄ (hi : i < k) (hj : j < k) (H : ζ ^ i = ζ ^ j) :
i = j := by
wlog hij : i ≤ j generalizing i j
· exact (this hj hi H.symm (le_of_not_le hij)).symm
apply le_antisymm hij
rw [← tsub_eq_zero_iff_le]
apply Nat.eq_zero_of_dvd_of_lt _ (lt_of_le_of_lt tsub_le_self hj)
apply h.dvd_of_pow_eq_one
rw [← ((h.isUnit (lt_of_le_of_lt (Nat.zero_le _) hi)).pow i).mul_left_inj, ← pow_add,
tsub_add_cancel_of_le hij, H, one_mul]
#align is_primitive_root.pow_inj IsPrimitiveRoot.pow_inj
theorem one : IsPrimitiveRoot (1 : M) 1 :=
{ pow_eq_one := pow_one _
dvd_of_pow_eq_one := fun _ _ => one_dvd _ }
#align is_primitive_root.one IsPrimitiveRoot.one
@[simp]
theorem one_right_iff : IsPrimitiveRoot ζ 1 ↔ ζ = 1 := by
clear h
constructor
· intro h; rw [← pow_one ζ, h.pow_eq_one]
· rintro rfl; exact one
#align is_primitive_root.one_right_iff IsPrimitiveRoot.one_right_iff
@[simp]
theorem coe_submonoidClass_iff {M B : Type*} [CommMonoid M] [SetLike B M] [SubmonoidClass B M]
{N : B} {ζ : N} : IsPrimitiveRoot (ζ : M) k ↔ IsPrimitiveRoot ζ k := by
simp_rw [iff_def]
norm_cast
#align is_primitive_root.coe_submonoid_class_iff IsPrimitiveRoot.coe_submonoidClass_iff
@[simp]
theorem coe_units_iff {ζ : Mˣ} : IsPrimitiveRoot (ζ : M) k ↔ IsPrimitiveRoot ζ k := by
simp only [iff_def, Units.ext_iff, Units.val_pow_eq_pow_val, Units.val_one]
#align is_primitive_root.coe_units_iff IsPrimitiveRoot.coe_units_iff
lemma isUnit_unit {ζ : M} {n} (hn) (hζ : IsPrimitiveRoot ζ n) :
IsPrimitiveRoot (hζ.isUnit hn).unit n := coe_units_iff.mp hζ
lemma isUnit_unit' {ζ : G} {n} (hn) (hζ : IsPrimitiveRoot ζ n) :
IsPrimitiveRoot (hζ.isUnit hn).unit' n := coe_units_iff.mp hζ
-- Porting note `variable` above already contains `(h : IsPrimitiveRoot ζ k)`
theorem pow_of_coprime (i : ℕ) (hi : i.Coprime k) : IsPrimitiveRoot (ζ ^ i) k := by
by_cases h0 : k = 0
· subst k; simp_all only [pow_one, Nat.coprime_zero_right]
rcases h.isUnit (Nat.pos_of_ne_zero h0) with ⟨ζ, rfl⟩
rw [← Units.val_pow_eq_pow_val]
rw [coe_units_iff] at h ⊢
refine
{ pow_eq_one := by rw [← pow_mul', pow_mul, h.pow_eq_one, one_pow]
dvd_of_pow_eq_one := ?_ }
intro l hl
apply h.dvd_of_pow_eq_one
rw [← pow_one ζ, ← zpow_natCast ζ, ← hi.gcd_eq_one, Nat.gcd_eq_gcd_ab, zpow_add, mul_pow,
← zpow_natCast, ← zpow_mul, mul_right_comm]
simp only [zpow_mul, hl, h.pow_eq_one, one_zpow, one_pow, one_mul, zpow_natCast]
#align is_primitive_root.pow_of_coprime IsPrimitiveRoot.pow_of_coprime
theorem pow_of_prime (h : IsPrimitiveRoot ζ k) {p : ℕ} (hprime : Nat.Prime p) (hdiv : ¬p ∣ k) :
IsPrimitiveRoot (ζ ^ p) k :=
h.pow_of_coprime p (hprime.coprime_iff_not_dvd.2 hdiv)
#align is_primitive_root.pow_of_prime IsPrimitiveRoot.pow_of_prime
theorem pow_iff_coprime (h : IsPrimitiveRoot ζ k) (h0 : 0 < k) (i : ℕ) :
IsPrimitiveRoot (ζ ^ i) k ↔ i.Coprime k := by
refine ⟨?_, h.pow_of_coprime i⟩
intro hi
obtain ⟨a, ha⟩ := i.gcd_dvd_left k
obtain ⟨b, hb⟩ := i.gcd_dvd_right k
suffices b = k by
-- Porting note: was `rwa [this, ← one_mul k, mul_left_inj' h0.ne', eq_comm] at hb`
rw [this, eq_comm, Nat.mul_left_eq_self_iff h0] at hb
rwa [Nat.Coprime]
rw [ha] at hi
rw [mul_comm] at hb
apply Nat.dvd_antisymm ⟨i.gcd k, hb⟩ (hi.dvd_of_pow_eq_one b _)
rw [← pow_mul', ← mul_assoc, ← hb, pow_mul, h.pow_eq_one, one_pow]
#align is_primitive_root.pow_iff_coprime IsPrimitiveRoot.pow_iff_coprime
protected theorem orderOf (ζ : M) : IsPrimitiveRoot ζ (orderOf ζ) :=
⟨pow_orderOf_eq_one ζ, fun _ => orderOf_dvd_of_pow_eq_one⟩
#align is_primitive_root.order_of IsPrimitiveRoot.orderOf
theorem unique {ζ : M} (hk : IsPrimitiveRoot ζ k) (hl : IsPrimitiveRoot ζ l) : k = l :=
Nat.dvd_antisymm (hk.2 _ hl.1) (hl.2 _ hk.1)
#align is_primitive_root.unique IsPrimitiveRoot.unique
theorem eq_orderOf : k = orderOf ζ :=
h.unique (IsPrimitiveRoot.orderOf ζ)
#align is_primitive_root.eq_order_of IsPrimitiveRoot.eq_orderOf
protected theorem iff (hk : 0 < k) :
IsPrimitiveRoot ζ k ↔ ζ ^ k = 1 ∧ ∀ l : ℕ, 0 < l → l < k → ζ ^ l ≠ 1 := by
refine ⟨fun h => ⟨h.pow_eq_one, fun l hl' hl => ?_⟩,
fun ⟨hζ, hl⟩ => IsPrimitiveRoot.mk_of_lt ζ hk hζ hl⟩
rw [h.eq_orderOf] at hl
exact pow_ne_one_of_lt_orderOf' hl'.ne' hl
#align is_primitive_root.iff IsPrimitiveRoot.iff
protected theorem not_iff : ¬IsPrimitiveRoot ζ k ↔ orderOf ζ ≠ k :=
⟨fun h hk => h <| hk ▸ IsPrimitiveRoot.orderOf ζ,
fun h hk => h.symm <| hk.unique <| IsPrimitiveRoot.orderOf ζ⟩
#align is_primitive_root.not_iff IsPrimitiveRoot.not_iff
theorem pow_mul_pow_lcm {ζ' : M} {k' : ℕ} (hζ : IsPrimitiveRoot ζ k) (hζ' : IsPrimitiveRoot ζ' k')
(hk : k ≠ 0) (hk' : k' ≠ 0) :
IsPrimitiveRoot
(ζ ^ (k / Nat.factorizationLCMLeft k k') * ζ' ^ (k' / Nat.factorizationLCMRight k k'))
(Nat.lcm k k') := by
convert IsPrimitiveRoot.orderOf _
convert ((Commute.all ζ ζ').orderOf_mul_pow_eq_lcm
(by simpa [← hζ.eq_orderOf]) (by simpa [← hζ'.eq_orderOf])).symm using 2
all_goals simp [hζ.eq_orderOf, hζ'.eq_orderOf]
theorem pow_of_dvd (h : IsPrimitiveRoot ζ k) {p : ℕ} (hp : p ≠ 0) (hdiv : p ∣ k) :
IsPrimitiveRoot (ζ ^ p) (k / p) := by
suffices orderOf (ζ ^ p) = k / p by exact this ▸ IsPrimitiveRoot.orderOf (ζ ^ p)
rw [orderOf_pow' _ hp, ← eq_orderOf h, Nat.gcd_eq_right hdiv]
#align is_primitive_root.pow_of_dvd IsPrimitiveRoot.pow_of_dvd
protected theorem mem_rootsOfUnity {ζ : Mˣ} {n : ℕ+} (h : IsPrimitiveRoot ζ n) :
ζ ∈ rootsOfUnity n M :=
h.pow_eq_one
#align is_primitive_root.mem_roots_of_unity IsPrimitiveRoot.mem_rootsOfUnity
theorem pow {n : ℕ} {a b : ℕ} (hn : 0 < n) (h : IsPrimitiveRoot ζ n) (hprod : n = a * b) :
IsPrimitiveRoot (ζ ^ a) b := by
subst n
simp only [iff_def, ← pow_mul, h.pow_eq_one, eq_self_iff_true, true_and_iff]
intro l hl
-- Porting note: was `by rintro rfl; simpa only [Nat.not_lt_zero, zero_mul] using hn`
have ha0 : a ≠ 0 := left_ne_zero_of_mul hn.ne'
rw [← mul_dvd_mul_iff_left ha0]
exact h.dvd_of_pow_eq_one _ hl
#align is_primitive_root.pow IsPrimitiveRoot.pow
lemma injOn_pow {n : ℕ} {ζ : M} (hζ : IsPrimitiveRoot ζ n) :
Set.InjOn (ζ ^ ·) (Finset.range n) := by
obtain (rfl|hn) := n.eq_zero_or_pos; · simp
intros i hi j hj e
rw [Finset.coe_range, Set.mem_Iio] at hi hj
have : (hζ.isUnit hn).unit ^ i = (hζ.isUnit hn).unit ^ j := Units.ext (by simpa using e)
rw [pow_inj_mod, ← orderOf_injective ⟨⟨Units.val, Units.val_one⟩, Units.val_mul⟩
Units.ext (hζ.isUnit hn).unit] at this
simpa [← hζ.eq_orderOf, Nat.mod_eq_of_lt, hi, hj] using this
section IsDomain
variable [CommRing R]
variable {ζ : Rˣ} (h : IsPrimitiveRoot ζ k)
theorem eq_neg_one_of_two_right [NoZeroDivisors R] {ζ : R} (h : IsPrimitiveRoot ζ 2) : ζ = -1 := by
apply (eq_or_eq_neg_of_sq_eq_sq ζ 1 _).resolve_left
· rw [← pow_one ζ]; apply h.pow_ne_one_of_pos_of_lt <;> decide
· simp only [h.pow_eq_one, one_pow]
#align is_primitive_root.eq_neg_one_of_two_right IsPrimitiveRoot.eq_neg_one_of_two_right
theorem neg_one (p : ℕ) [Nontrivial R] [h : CharP R p] (hp : p ≠ 2) :
IsPrimitiveRoot (-1 : R) 2 := by
convert IsPrimitiveRoot.orderOf (-1 : R)
rw [orderOf_neg_one, if_neg]
rwa [ringChar.eq_iff.mpr h]
#align is_primitive_root.neg_one IsPrimitiveRoot.neg_one
theorem geom_sum_eq_zero [IsDomain R] {ζ : R} (hζ : IsPrimitiveRoot ζ k) (hk : 1 < k) :
∑ i ∈ range k, ζ ^ i = 0 := by
refine eq_zero_of_ne_zero_of_mul_left_eq_zero (sub_ne_zero_of_ne (hζ.ne_one hk).symm) ?_
rw [mul_neg_geom_sum, hζ.pow_eq_one, sub_self]
#align is_primitive_root.geom_sum_eq_zero IsPrimitiveRoot.geom_sum_eq_zero
| Mathlib/RingTheory/RootsOfUnity/Basic.lean | 709 | 712 | theorem pow_sub_one_eq [IsDomain R] {ζ : R} (hζ : IsPrimitiveRoot ζ k) (hk : 1 < k) :
ζ ^ k.pred = -∑ i ∈ range k.pred, ζ ^ i := by |
rw [eq_neg_iff_add_eq_zero, add_comm, ← sum_range_succ, ← Nat.succ_eq_add_one,
Nat.succ_pred_eq_of_pos (pos_of_gt hk), hζ.geom_sum_eq_zero hk]
|
import Mathlib.Data.Fintype.Card
import Mathlib.Data.Finset.Sum
import Mathlib.Logic.Embedding.Set
#align_import data.fintype.sum from "leanprover-community/mathlib"@"6623e6af705e97002a9054c1c05a980180276fc1"
universe u v
variable {α β : Type*}
open Finset
instance (α : Type u) (β : Type v) [Fintype α] [Fintype β] : Fintype (Sum α β) where
elems := univ.disjSum univ
complete := by rintro (_ | _) <;> simp
@[simp]
theorem Finset.univ_disjSum_univ {α β : Type*} [Fintype α] [Fintype β] :
univ.disjSum univ = (univ : Finset (Sum α β)) :=
rfl
#align finset.univ_disj_sum_univ Finset.univ_disjSum_univ
@[simp]
theorem Fintype.card_sum [Fintype α] [Fintype β] :
Fintype.card (Sum α β) = Fintype.card α + Fintype.card β :=
card_disjSum _ _
#align fintype.card_sum Fintype.card_sum
def fintypeOfFintypeNe (a : α) (h : Fintype { b // b ≠ a }) : Fintype α :=
Fintype.ofBijective (Sum.elim ((↑) : { b // b = a } → α) ((↑) : { b // b ≠ a } → α)) <| by
classical exact (Equiv.sumCompl (· = a)).bijective
#align fintype_of_fintype_ne fintypeOfFintypeNe
theorem image_subtype_ne_univ_eq_image_erase [Fintype α] [DecidableEq β] (k : β) (b : α → β) :
image (fun i : { a // b a ≠ k } => b ↑i) univ = (image b univ).erase k := by
apply subset_antisymm
· rw [image_subset_iff]
intro i _
apply mem_erase_of_ne_of_mem i.2 (mem_image_of_mem _ (mem_univ _))
· intro i hi
rw [mem_image]
rcases mem_image.1 (erase_subset _ _ hi) with ⟨a, _, ha⟩
subst ha
exact ⟨⟨a, ne_of_mem_erase hi⟩, mem_univ _, rfl⟩
#align image_subtype_ne_univ_eq_image_erase image_subtype_ne_univ_eq_image_erase
theorem image_subtype_univ_ssubset_image_univ [Fintype α] [DecidableEq β] (k : β) (b : α → β)
(hk : k ∈ Finset.image b univ) (p : β → Prop) [DecidablePred p] (hp : ¬p k) :
image (fun i : { a // p (b a) } => b ↑i) univ ⊂ image b univ := by
constructor
· intro x hx
rcases mem_image.1 hx with ⟨y, _, hy⟩
exact hy ▸ mem_image_of_mem b (mem_univ (y : α))
· intro h
rw [mem_image] at hk
rcases hk with ⟨k', _, hk'⟩
subst hk'
have := h (mem_image_of_mem b (mem_univ k'))
rw [mem_image] at this
rcases this with ⟨j, _, hj'⟩
exact hp (hj' ▸ j.2)
#align image_subtype_univ_ssubset_image_univ image_subtype_univ_ssubset_image_univ
theorem Finset.exists_equiv_extend_of_card_eq [Fintype α] [DecidableEq β] {t : Finset β}
(hαt : Fintype.card α = t.card) {s : Finset α} {f : α → β} (hfst : Finset.image f s ⊆ t)
(hfs : Set.InjOn f s) : ∃ g : α ≃ t, ∀ i ∈ s, (g i : β) = f i := by
classical
induction' s using Finset.induction with a s has H generalizing f
· obtain ⟨e⟩ : Nonempty (α ≃ ↥t) := by rwa [← Fintype.card_eq, Fintype.card_coe]
use e
simp
have hfst' : Finset.image f s ⊆ t := (Finset.image_mono _ (s.subset_insert a)).trans hfst
have hfs' : Set.InjOn f s := hfs.mono (s.subset_insert a)
obtain ⟨g', hg'⟩ := H hfst' hfs'
have hfat : f a ∈ t := hfst (mem_image_of_mem _ (s.mem_insert_self a))
use g'.trans (Equiv.swap (⟨f a, hfat⟩ : t) (g' a))
simp_rw [mem_insert]
rintro i (rfl | hi)
· simp
rw [Equiv.trans_apply, Equiv.swap_apply_of_ne_of_ne, hg' _ hi]
· exact
ne_of_apply_ne Subtype.val
(ne_of_eq_of_ne (hg' _ hi) <|
hfs.ne (subset_insert _ _ hi) (mem_insert_self _ _) <| ne_of_mem_of_not_mem hi has)
· exact g'.injective.ne (ne_of_mem_of_not_mem hi has)
#align finset.exists_equiv_extend_of_card_eq Finset.exists_equiv_extend_of_card_eq
theorem Set.MapsTo.exists_equiv_extend_of_card_eq [Fintype α] {t : Finset β}
(hαt : Fintype.card α = t.card) {s : Set α} {f : α → β} (hfst : s.MapsTo f t)
(hfs : Set.InjOn f s) : ∃ g : α ≃ t, ∀ i ∈ s, (g i : β) = f i := by
classical
let s' : Finset α := s.toFinset
have hfst' : s'.image f ⊆ t := by simpa [s', ← Finset.coe_subset] using hfst
have hfs' : Set.InjOn f s' := by simpa [s'] using hfs
obtain ⟨g, hg⟩ := Finset.exists_equiv_extend_of_card_eq hαt hfst' hfs'
refine ⟨g, fun i hi => ?_⟩
apply hg
simpa [s'] using hi
#align set.maps_to.exists_equiv_extend_of_card_eq Set.MapsTo.exists_equiv_extend_of_card_eq
theorem Fintype.card_subtype_or (p q : α → Prop) [Fintype { x // p x }] [Fintype { x // q x }]
[Fintype { x // p x ∨ q x }] :
Fintype.card { x // p x ∨ q x } ≤ Fintype.card { x // p x } + Fintype.card { x // q x } := by
classical
convert Fintype.card_le_of_embedding (subtypeOrLeftEmbedding p q)
rw [Fintype.card_sum]
#align fintype.card_subtype_or Fintype.card_subtype_or
| Mathlib/Data/Fintype/Sum.lean | 126 | 131 | theorem Fintype.card_subtype_or_disjoint (p q : α → Prop) (h : Disjoint p q) [Fintype { x // p x }]
[Fintype { x // q x }] [Fintype { x // p x ∨ q x }] :
Fintype.card { x // p x ∨ q x } = Fintype.card { x // p x } + Fintype.card { x // q x } := by |
classical
convert Fintype.card_congr (subtypeOrEquiv p q h)
simp
|
import Mathlib.SetTheory.Ordinal.Arithmetic
#align_import set_theory.ordinal.exponential from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d"
noncomputable section
open Function Cardinal Set Equiv Order
open scoped Classical
open Cardinal Ordinal
universe u v w
namespace Ordinal
instance pow : Pow Ordinal Ordinal :=
⟨fun a b => if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b⟩
-- Porting note: Ambiguous notations.
-- local infixr:0 "^" => @Pow.pow Ordinal Ordinal Ordinal.instPowOrdinalOrdinal
theorem opow_def (a b : Ordinal) :
a ^ b = if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b :=
rfl
#align ordinal.opow_def Ordinal.opow_def
-- Porting note: `if_pos rfl` → `if_true`
theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a := by simp only [opow_def, if_true]
#align ordinal.zero_opow' Ordinal.zero_opow'
@[simp]
theorem zero_opow {a : Ordinal} (a0 : a ≠ 0) : (0 : Ordinal) ^ a = 0 := by
rwa [zero_opow', Ordinal.sub_eq_zero_iff_le, one_le_iff_ne_zero]
#align ordinal.zero_opow Ordinal.zero_opow
@[simp]
theorem opow_zero (a : Ordinal) : a ^ (0 : Ordinal) = 1 := by
by_cases h : a = 0
· simp only [opow_def, if_pos h, sub_zero]
· simp only [opow_def, if_neg h, limitRecOn_zero]
#align ordinal.opow_zero Ordinal.opow_zero
@[simp]
theorem opow_succ (a b : Ordinal) : a ^ succ b = a ^ b * a :=
if h : a = 0 then by subst a; simp only [zero_opow (succ_ne_zero _), mul_zero]
else by simp only [opow_def, limitRecOn_succ, if_neg h]
#align ordinal.opow_succ Ordinal.opow_succ
theorem opow_limit {a b : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) :
a ^ b = bsup.{u, u} b fun c _ => a ^ c := by
simp only [opow_def, if_neg a0]; rw [limitRecOn_limit _ _ _ _ h]
#align ordinal.opow_limit Ordinal.opow_limit
theorem opow_le_of_limit {a b c : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) :
a ^ b ≤ c ↔ ∀ b' < b, a ^ b' ≤ c := by rw [opow_limit a0 h, bsup_le_iff]
#align ordinal.opow_le_of_limit Ordinal.opow_le_of_limit
theorem lt_opow_of_limit {a b c : Ordinal} (b0 : b ≠ 0) (h : IsLimit c) :
a < b ^ c ↔ ∃ c' < c, a < b ^ c' := by
rw [← not_iff_not, not_exists]; simp only [not_lt, opow_le_of_limit b0 h, exists_prop, not_and]
#align ordinal.lt_opow_of_limit Ordinal.lt_opow_of_limit
@[simp]
theorem opow_one (a : Ordinal) : a ^ (1 : Ordinal) = a := by
rw [← succ_zero, opow_succ]; simp only [opow_zero, one_mul]
#align ordinal.opow_one Ordinal.opow_one
@[simp]
theorem one_opow (a : Ordinal) : (1 : Ordinal) ^ a = 1 := by
induction a using limitRecOn with
| H₁ => simp only [opow_zero]
| H₂ _ ih =>
simp only [opow_succ, ih, mul_one]
| H₃ b l IH =>
refine eq_of_forall_ge_iff fun c => ?_
rw [opow_le_of_limit Ordinal.one_ne_zero l]
exact ⟨fun H => by simpa only [opow_zero] using H 0 l.pos, fun H b' h => by rwa [IH _ h]⟩
#align ordinal.one_opow Ordinal.one_opow
theorem opow_pos {a : Ordinal} (b : Ordinal) (a0 : 0 < a) : 0 < a ^ b := by
have h0 : 0 < a ^ (0 : Ordinal) := by simp only [opow_zero, zero_lt_one]
induction b using limitRecOn with
| H₁ => exact h0
| H₂ b IH =>
rw [opow_succ]
exact mul_pos IH a0
| H₃ b l _ =>
exact (lt_opow_of_limit (Ordinal.pos_iff_ne_zero.1 a0) l).2 ⟨0, l.pos, h0⟩
#align ordinal.opow_pos Ordinal.opow_pos
theorem opow_ne_zero {a : Ordinal} (b : Ordinal) (a0 : a ≠ 0) : a ^ b ≠ 0 :=
Ordinal.pos_iff_ne_zero.1 <| opow_pos b <| Ordinal.pos_iff_ne_zero.2 a0
#align ordinal.opow_ne_zero Ordinal.opow_ne_zero
theorem opow_isNormal {a : Ordinal} (h : 1 < a) : IsNormal (a ^ ·) :=
have a0 : 0 < a := zero_lt_one.trans h
⟨fun b => by simpa only [mul_one, opow_succ] using (mul_lt_mul_iff_left (opow_pos b a0)).2 h,
fun b l c => opow_le_of_limit (ne_of_gt a0) l⟩
#align ordinal.opow_is_normal Ordinal.opow_isNormal
theorem opow_lt_opow_iff_right {a b c : Ordinal} (a1 : 1 < a) : a ^ b < a ^ c ↔ b < c :=
(opow_isNormal a1).lt_iff
#align ordinal.opow_lt_opow_iff_right Ordinal.opow_lt_opow_iff_right
theorem opow_le_opow_iff_right {a b c : Ordinal} (a1 : 1 < a) : a ^ b ≤ a ^ c ↔ b ≤ c :=
(opow_isNormal a1).le_iff
#align ordinal.opow_le_opow_iff_right Ordinal.opow_le_opow_iff_right
theorem opow_right_inj {a b c : Ordinal} (a1 : 1 < a) : a ^ b = a ^ c ↔ b = c :=
(opow_isNormal a1).inj
#align ordinal.opow_right_inj Ordinal.opow_right_inj
theorem opow_isLimit {a b : Ordinal} (a1 : 1 < a) : IsLimit b → IsLimit (a ^ b) :=
(opow_isNormal a1).isLimit
#align ordinal.opow_is_limit Ordinal.opow_isLimit
theorem opow_isLimit_left {a b : Ordinal} (l : IsLimit a) (hb : b ≠ 0) : IsLimit (a ^ b) := by
rcases zero_or_succ_or_limit b with (e | ⟨b, rfl⟩ | l')
· exact absurd e hb
· rw [opow_succ]
exact mul_isLimit (opow_pos _ l.pos) l
· exact opow_isLimit l.one_lt l'
#align ordinal.opow_is_limit_left Ordinal.opow_isLimit_left
theorem opow_le_opow_right {a b c : Ordinal} (h₁ : 0 < a) (h₂ : b ≤ c) : a ^ b ≤ a ^ c := by
rcases lt_or_eq_of_le (one_le_iff_pos.2 h₁) with h₁ | h₁
· exact (opow_le_opow_iff_right h₁).2 h₂
· subst a
-- Porting note: `le_refl` is required.
simp only [one_opow, le_refl]
#align ordinal.opow_le_opow_right Ordinal.opow_le_opow_right
theorem opow_le_opow_left {a b : Ordinal} (c : Ordinal) (ab : a ≤ b) : a ^ c ≤ b ^ c := by
by_cases a0 : a = 0
-- Porting note: `le_refl` is required.
· subst a
by_cases c0 : c = 0
· subst c
simp only [opow_zero, le_refl]
· simp only [zero_opow c0, Ordinal.zero_le]
· induction c using limitRecOn with
| H₁ => simp only [opow_zero, le_refl]
| H₂ c IH =>
simpa only [opow_succ] using mul_le_mul' IH ab
| H₃ c l IH =>
exact
(opow_le_of_limit a0 l).2 fun b' h =>
(IH _ h).trans (opow_le_opow_right ((Ordinal.pos_iff_ne_zero.2 a0).trans_le ab) h.le)
#align ordinal.opow_le_opow_left Ordinal.opow_le_opow_left
theorem left_le_opow (a : Ordinal) {b : Ordinal} (b1 : 0 < b) : a ≤ a ^ b := by
nth_rw 1 [← opow_one a]
cases' le_or_gt a 1 with a1 a1
· rcases lt_or_eq_of_le a1 with a0 | a1
· rw [lt_one_iff_zero] at a0
rw [a0, zero_opow Ordinal.one_ne_zero]
exact Ordinal.zero_le _
rw [a1, one_opow, one_opow]
rwa [opow_le_opow_iff_right a1, one_le_iff_pos]
#align ordinal.left_le_opow Ordinal.left_le_opow
theorem right_le_opow {a : Ordinal} (b : Ordinal) (a1 : 1 < a) : b ≤ a ^ b :=
(opow_isNormal a1).self_le _
#align ordinal.right_le_opow Ordinal.right_le_opow
theorem opow_lt_opow_left_of_succ {a b c : Ordinal} (ab : a < b) : a ^ succ c < b ^ succ c := by
rw [opow_succ, opow_succ]
exact
(mul_le_mul_right' (opow_le_opow_left c ab.le) a).trans_lt
(mul_lt_mul_of_pos_left ab (opow_pos c ((Ordinal.zero_le a).trans_lt ab)))
#align ordinal.opow_lt_opow_left_of_succ Ordinal.opow_lt_opow_left_of_succ
theorem opow_add (a b c : Ordinal) : a ^ (b + c) = a ^ b * a ^ c := by
rcases eq_or_ne a 0 with (rfl | a0)
· rcases eq_or_ne c 0 with (rfl | c0)
· simp
have : b + c ≠ 0 := ((Ordinal.pos_iff_ne_zero.2 c0).trans_le (le_add_left _ _)).ne'
simp only [zero_opow c0, zero_opow this, mul_zero]
rcases eq_or_lt_of_le (one_le_iff_ne_zero.2 a0) with (rfl | a1)
· simp only [one_opow, mul_one]
induction c using limitRecOn with
| H₁ => simp
| H₂ c IH =>
rw [add_succ, opow_succ, IH, opow_succ, mul_assoc]
| H₃ c l IH =>
refine
eq_of_forall_ge_iff fun d =>
(((opow_isNormal a1).trans (add_isNormal b)).limit_le l).trans ?_
dsimp only [Function.comp_def]
simp (config := { contextual := true }) only [IH]
exact
(((mul_isNormal <| opow_pos b (Ordinal.pos_iff_ne_zero.2 a0)).trans
(opow_isNormal a1)).limit_le
l).symm
#align ordinal.opow_add Ordinal.opow_add
theorem opow_one_add (a b : Ordinal) : a ^ (1 + b) = a * a ^ b := by rw [opow_add, opow_one]
#align ordinal.opow_one_add Ordinal.opow_one_add
theorem opow_dvd_opow (a : Ordinal) {b c : Ordinal} (h : b ≤ c) : a ^ b ∣ a ^ c :=
⟨a ^ (c - b), by rw [← opow_add, Ordinal.add_sub_cancel_of_le h]⟩
#align ordinal.opow_dvd_opow Ordinal.opow_dvd_opow
theorem opow_dvd_opow_iff {a b c : Ordinal} (a1 : 1 < a) : a ^ b ∣ a ^ c ↔ b ≤ c :=
⟨fun h =>
le_of_not_lt fun hn =>
not_le_of_lt ((opow_lt_opow_iff_right a1).2 hn) <|
le_of_dvd (opow_ne_zero _ <| one_le_iff_ne_zero.1 <| a1.le) h,
opow_dvd_opow _⟩
#align ordinal.opow_dvd_opow_iff Ordinal.opow_dvd_opow_iff
theorem opow_mul (a b c : Ordinal) : a ^ (b * c) = (a ^ b) ^ c := by
by_cases b0 : b = 0; · simp only [b0, zero_mul, opow_zero, one_opow]
by_cases a0 : a = 0
· subst a
by_cases c0 : c = 0
· simp only [c0, mul_zero, opow_zero]
simp only [zero_opow b0, zero_opow c0, zero_opow (mul_ne_zero b0 c0)]
cases' eq_or_lt_of_le (one_le_iff_ne_zero.2 a0) with a1 a1
· subst a1
simp only [one_opow]
induction c using limitRecOn with
| H₁ => simp only [mul_zero, opow_zero]
| H₂ c IH =>
rw [mul_succ, opow_add, IH, opow_succ]
| H₃ c l IH =>
refine
eq_of_forall_ge_iff fun d =>
(((opow_isNormal a1).trans (mul_isNormal (Ordinal.pos_iff_ne_zero.2 b0))).limit_le
l).trans
?_
dsimp only [Function.comp_def]
simp (config := { contextual := true }) only [IH]
exact (opow_le_of_limit (opow_ne_zero _ a0) l).symm
#align ordinal.opow_mul Ordinal.opow_mul
-- @[pp_nodot] -- Porting note: Unknown attribute.
def log (b : Ordinal) (x : Ordinal) : Ordinal :=
if _h : 1 < b then pred (sInf { o | x < b ^ o }) else 0
#align ordinal.log Ordinal.log
theorem log_nonempty {b x : Ordinal} (h : 1 < b) : { o : Ordinal | x < b ^ o }.Nonempty :=
⟨_, succ_le_iff.1 (right_le_opow _ h)⟩
#align ordinal.log_nonempty Ordinal.log_nonempty
theorem log_def {b : Ordinal} (h : 1 < b) (x : Ordinal) :
log b x = pred (sInf { o | x < b ^ o }) := by simp only [log, dif_pos h]
#align ordinal.log_def Ordinal.log_def
theorem log_of_not_one_lt_left {b : Ordinal} (h : ¬1 < b) (x : Ordinal) : log b x = 0 := by
simp only [log, dif_neg h]
#align ordinal.log_of_not_one_lt_left Ordinal.log_of_not_one_lt_left
theorem log_of_left_le_one {b : Ordinal} (h : b ≤ 1) : ∀ x, log b x = 0 :=
log_of_not_one_lt_left h.not_lt
#align ordinal.log_of_left_le_one Ordinal.log_of_left_le_one
@[simp]
theorem log_zero_left : ∀ b, log 0 b = 0 :=
log_of_left_le_one zero_le_one
#align ordinal.log_zero_left Ordinal.log_zero_left
@[simp]
theorem log_zero_right (b : Ordinal) : log b 0 = 0 :=
if b1 : 1 < b then by
rw [log_def b1, ← Ordinal.le_zero, pred_le]
apply csInf_le'
dsimp
rw [succ_zero, opow_one]
exact zero_lt_one.trans b1
else by simp only [log_of_not_one_lt_left b1]
#align ordinal.log_zero_right Ordinal.log_zero_right
@[simp]
theorem log_one_left : ∀ b, log 1 b = 0 :=
log_of_left_le_one le_rfl
#align ordinal.log_one_left Ordinal.log_one_left
theorem succ_log_def {b x : Ordinal} (hb : 1 < b) (hx : x ≠ 0) :
succ (log b x) = sInf { o : Ordinal | x < b ^ o } := by
let t := sInf { o : Ordinal | x < b ^ o }
have : x < (b^t) := csInf_mem (log_nonempty hb)
rcases zero_or_succ_or_limit t with (h | h | h)
· refine ((one_le_iff_ne_zero.2 hx).not_lt ?_).elim
simpa only [h, opow_zero] using this
· rw [show log b x = pred t from log_def hb x, succ_pred_iff_is_succ.2 h]
· rcases (lt_opow_of_limit (zero_lt_one.trans hb).ne' h).1 this with ⟨a, h₁, h₂⟩
exact h₁.not_le.elim ((le_csInf_iff'' (log_nonempty hb)).1 le_rfl a h₂)
#align ordinal.succ_log_def Ordinal.succ_log_def
theorem lt_opow_succ_log_self {b : Ordinal} (hb : 1 < b) (x : Ordinal) :
x < b ^ succ (log b x) := by
rcases eq_or_ne x 0 with (rfl | hx)
· apply opow_pos _ (zero_lt_one.trans hb)
· rw [succ_log_def hb hx]
exact csInf_mem (log_nonempty hb)
#align ordinal.lt_opow_succ_log_self Ordinal.lt_opow_succ_log_self
theorem opow_log_le_self (b : Ordinal) {x : Ordinal} (hx : x ≠ 0) : b ^ log b x ≤ x := by
rcases eq_or_ne b 0 with (rfl | b0)
· rw [zero_opow']
exact (sub_le_self _ _).trans (one_le_iff_ne_zero.2 hx)
rcases lt_or_eq_of_le (one_le_iff_ne_zero.2 b0) with (hb | rfl)
· refine le_of_not_lt fun h => (lt_succ (log b x)).not_le ?_
have := @csInf_le' _ _ { o | x < b ^ o } _ h
rwa [← succ_log_def hb hx] at this
· rwa [one_opow, one_le_iff_ne_zero]
#align ordinal.opow_log_le_self Ordinal.opow_log_le_self
theorem opow_le_iff_le_log {b x c : Ordinal} (hb : 1 < b) (hx : x ≠ 0) : b ^ c ≤ x ↔ c ≤ log b x :=
⟨fun h =>
le_of_not_lt fun hn =>
(lt_opow_succ_log_self hb x).not_le <|
((opow_le_opow_iff_right hb).2 (succ_le_of_lt hn)).trans h,
fun h => ((opow_le_opow_iff_right hb).2 h).trans (opow_log_le_self b hx)⟩
#align ordinal.opow_le_iff_le_log Ordinal.opow_le_iff_le_log
theorem lt_opow_iff_log_lt {b x c : Ordinal} (hb : 1 < b) (hx : x ≠ 0) : x < b ^ c ↔ log b x < c :=
lt_iff_lt_of_le_iff_le (opow_le_iff_le_log hb hx)
#align ordinal.lt_opow_iff_log_lt Ordinal.lt_opow_iff_log_lt
| Mathlib/SetTheory/Ordinal/Exponential.lean | 343 | 344 | theorem log_pos {b o : Ordinal} (hb : 1 < b) (ho : o ≠ 0) (hbo : b ≤ o) : 0 < log b o := by |
rwa [← succ_le_iff, succ_zero, ← opow_le_iff_le_log hb ho, opow_one]
|
import Mathlib.Logic.Relation
import Mathlib.Data.Option.Basic
import Mathlib.Data.Seq.Seq
#align_import data.seq.wseq from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad"
namespace Stream'
open Function
universe u v w
def WSeq (α) :=
Seq (Option α)
#align stream.wseq Stream'.WSeq
namespace WSeq
variable {α : Type u} {β : Type v} {γ : Type w}
@[coe]
def ofSeq : Seq α → WSeq α :=
(· <$> ·) some
#align stream.wseq.of_seq Stream'.WSeq.ofSeq
@[coe]
def ofList (l : List α) : WSeq α :=
ofSeq l
#align stream.wseq.of_list Stream'.WSeq.ofList
@[coe]
def ofStream (l : Stream' α) : WSeq α :=
ofSeq l
#align stream.wseq.of_stream Stream'.WSeq.ofStream
instance coeSeq : Coe (Seq α) (WSeq α) :=
⟨ofSeq⟩
#align stream.wseq.coe_seq Stream'.WSeq.coeSeq
instance coeList : Coe (List α) (WSeq α) :=
⟨ofList⟩
#align stream.wseq.coe_list Stream'.WSeq.coeList
instance coeStream : Coe (Stream' α) (WSeq α) :=
⟨ofStream⟩
#align stream.wseq.coe_stream Stream'.WSeq.coeStream
def nil : WSeq α :=
Seq.nil
#align stream.wseq.nil Stream'.WSeq.nil
instance inhabited : Inhabited (WSeq α) :=
⟨nil⟩
#align stream.wseq.inhabited Stream'.WSeq.inhabited
def cons (a : α) : WSeq α → WSeq α :=
Seq.cons (some a)
#align stream.wseq.cons Stream'.WSeq.cons
def think : WSeq α → WSeq α :=
Seq.cons none
#align stream.wseq.think Stream'.WSeq.think
def destruct : WSeq α → Computation (Option (α × WSeq α)) :=
Computation.corec fun s =>
match Seq.destruct s with
| none => Sum.inl none
| some (none, s') => Sum.inr s'
| some (some a, s') => Sum.inl (some (a, s'))
#align stream.wseq.destruct Stream'.WSeq.destruct
def recOn {C : WSeq α → Sort v} (s : WSeq α) (h1 : C nil) (h2 : ∀ x s, C (cons x s))
(h3 : ∀ s, C (think s)) : C s :=
Seq.recOn s h1 fun o => Option.recOn o h3 h2
#align stream.wseq.rec_on Stream'.WSeq.recOn
protected def Mem (a : α) (s : WSeq α) :=
Seq.Mem (some a) s
#align stream.wseq.mem Stream'.WSeq.Mem
instance membership : Membership α (WSeq α) :=
⟨WSeq.Mem⟩
#align stream.wseq.has_mem Stream'.WSeq.membership
theorem not_mem_nil (a : α) : a ∉ @nil α :=
Seq.not_mem_nil (some a)
#align stream.wseq.not_mem_nil Stream'.WSeq.not_mem_nil
def head (s : WSeq α) : Computation (Option α) :=
Computation.map (Prod.fst <$> ·) (destruct s)
#align stream.wseq.head Stream'.WSeq.head
def flatten : Computation (WSeq α) → WSeq α :=
Seq.corec fun c =>
match Computation.destruct c with
| Sum.inl s => Seq.omap (return ·) (Seq.destruct s)
| Sum.inr c' => some (none, c')
#align stream.wseq.flatten Stream'.WSeq.flatten
def tail (s : WSeq α) : WSeq α :=
flatten <| (fun o => Option.recOn o nil Prod.snd) <$> destruct s
#align stream.wseq.tail Stream'.WSeq.tail
def drop (s : WSeq α) : ℕ → WSeq α
| 0 => s
| n + 1 => tail (drop s n)
#align stream.wseq.drop Stream'.WSeq.drop
def get? (s : WSeq α) (n : ℕ) : Computation (Option α) :=
head (drop s n)
#align stream.wseq.nth Stream'.WSeq.get?
def toList (s : WSeq α) : Computation (List α) :=
@Computation.corec (List α) (List α × WSeq α)
(fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => Sum.inl l.reverse
| some (none, s') => Sum.inr (l, s')
| some (some a, s') => Sum.inr (a::l, s'))
([], s)
#align stream.wseq.to_list Stream'.WSeq.toList
def length (s : WSeq α) : Computation ℕ :=
@Computation.corec ℕ (ℕ × WSeq α)
(fun ⟨n, s⟩ =>
match Seq.destruct s with
| none => Sum.inl n
| some (none, s') => Sum.inr (n, s')
| some (some _, s') => Sum.inr (n + 1, s'))
(0, s)
#align stream.wseq.length Stream'.WSeq.length
class IsFinite (s : WSeq α) : Prop where
out : (toList s).Terminates
#align stream.wseq.is_finite Stream'.WSeq.IsFinite
instance toList_terminates (s : WSeq α) [h : IsFinite s] : (toList s).Terminates :=
h.out
#align stream.wseq.to_list_terminates Stream'.WSeq.toList_terminates
def get (s : WSeq α) [IsFinite s] : List α :=
(toList s).get
#align stream.wseq.get Stream'.WSeq.get
class Productive (s : WSeq α) : Prop where
get?_terminates : ∀ n, (get? s n).Terminates
#align stream.wseq.productive Stream'.WSeq.Productive
#align stream.wseq.productive.nth_terminates Stream'.WSeq.Productive.get?_terminates
theorem productive_iff (s : WSeq α) : Productive s ↔ ∀ n, (get? s n).Terminates :=
⟨fun h => h.1, fun h => ⟨h⟩⟩
#align stream.wseq.productive_iff Stream'.WSeq.productive_iff
instance get?_terminates (s : WSeq α) [h : Productive s] : ∀ n, (get? s n).Terminates :=
h.get?_terminates
#align stream.wseq.nth_terminates Stream'.WSeq.get?_terminates
instance head_terminates (s : WSeq α) [Productive s] : (head s).Terminates :=
s.get?_terminates 0
#align stream.wseq.head_terminates Stream'.WSeq.head_terminates
def updateNth (s : WSeq α) (n : ℕ) (a : α) : WSeq α :=
@Seq.corec (Option α) (ℕ × WSeq α)
(fun ⟨n, s⟩ =>
match Seq.destruct s, n with
| none, _ => none
| some (none, s'), n => some (none, n, s')
| some (some a', s'), 0 => some (some a', 0, s')
| some (some _, s'), 1 => some (some a, 0, s')
| some (some a', s'), n + 2 => some (some a', n + 1, s'))
(n + 1, s)
#align stream.wseq.update_nth Stream'.WSeq.updateNth
def removeNth (s : WSeq α) (n : ℕ) : WSeq α :=
@Seq.corec (Option α) (ℕ × WSeq α)
(fun ⟨n, s⟩ =>
match Seq.destruct s, n with
| none, _ => none
| some (none, s'), n => some (none, n, s')
| some (some a', s'), 0 => some (some a', 0, s')
| some (some _, s'), 1 => some (none, 0, s')
| some (some a', s'), n + 2 => some (some a', n + 1, s'))
(n + 1, s)
#align stream.wseq.remove_nth Stream'.WSeq.removeNth
def filterMap (f : α → Option β) : WSeq α → WSeq β :=
Seq.corec fun s =>
match Seq.destruct s with
| none => none
| some (none, s') => some (none, s')
| some (some a, s') => some (f a, s')
#align stream.wseq.filter_map Stream'.WSeq.filterMap
def filter (p : α → Prop) [DecidablePred p] : WSeq α → WSeq α :=
filterMap fun a => if p a then some a else none
#align stream.wseq.filter Stream'.WSeq.filter
-- example of infinite list manipulations
def find (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation (Option α) :=
head <| filter p s
#align stream.wseq.find Stream'.WSeq.find
def zipWith (f : α → β → γ) (s1 : WSeq α) (s2 : WSeq β) : WSeq γ :=
@Seq.corec (Option γ) (WSeq α × WSeq β)
(fun ⟨s1, s2⟩ =>
match Seq.destruct s1, Seq.destruct s2 with
| some (none, s1'), some (none, s2') => some (none, s1', s2')
| some (some _, _), some (none, s2') => some (none, s1, s2')
| some (none, s1'), some (some _, _) => some (none, s1', s2)
| some (some a1, s1'), some (some a2, s2') => some (some (f a1 a2), s1', s2')
| _, _ => none)
(s1, s2)
#align stream.wseq.zip_with Stream'.WSeq.zipWith
def zip : WSeq α → WSeq β → WSeq (α × β) :=
zipWith Prod.mk
#align stream.wseq.zip Stream'.WSeq.zip
def findIndexes (p : α → Prop) [DecidablePred p] (s : WSeq α) : WSeq ℕ :=
(zip s (Stream'.nats : WSeq ℕ)).filterMap fun ⟨a, n⟩ => if p a then some n else none
#align stream.wseq.find_indexes Stream'.WSeq.findIndexes
def findIndex (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation ℕ :=
(fun o => Option.getD o 0) <$> head (findIndexes p s)
#align stream.wseq.find_index Stream'.WSeq.findIndex
def indexOf [DecidableEq α] (a : α) : WSeq α → Computation ℕ :=
findIndex (Eq a)
#align stream.wseq.index_of Stream'.WSeq.indexOf
def indexesOf [DecidableEq α] (a : α) : WSeq α → WSeq ℕ :=
findIndexes (Eq a)
#align stream.wseq.indexes_of Stream'.WSeq.indexesOf
def union (s1 s2 : WSeq α) : WSeq α :=
@Seq.corec (Option α) (WSeq α × WSeq α)
(fun ⟨s1, s2⟩ =>
match Seq.destruct s1, Seq.destruct s2 with
| none, none => none
| some (a1, s1'), none => some (a1, s1', nil)
| none, some (a2, s2') => some (a2, nil, s2')
| some (none, s1'), some (none, s2') => some (none, s1', s2')
| some (some a1, s1'), some (none, s2') => some (some a1, s1', s2')
| some (none, s1'), some (some a2, s2') => some (some a2, s1', s2')
| some (some a1, s1'), some (some a2, s2') => some (some a1, cons a2 s1', s2'))
(s1, s2)
#align stream.wseq.union Stream'.WSeq.union
def isEmpty (s : WSeq α) : Computation Bool :=
Computation.map Option.isNone <| head s
#align stream.wseq.is_empty Stream'.WSeq.isEmpty
def compute (s : WSeq α) : WSeq α :=
match Seq.destruct s with
| some (none, s') => s'
| _ => s
#align stream.wseq.compute Stream'.WSeq.compute
def take (s : WSeq α) (n : ℕ) : WSeq α :=
@Seq.corec (Option α) (ℕ × WSeq α)
(fun ⟨n, s⟩ =>
match n, Seq.destruct s with
| 0, _ => none
| _ + 1, none => none
| m + 1, some (none, s') => some (none, m + 1, s')
| m + 1, some (some a, s') => some (some a, m, s'))
(n, s)
#align stream.wseq.take Stream'.WSeq.take
def splitAt (s : WSeq α) (n : ℕ) : Computation (List α × WSeq α) :=
@Computation.corec (List α × WSeq α) (ℕ × List α × WSeq α)
(fun ⟨n, l, s⟩ =>
match n, Seq.destruct s with
| 0, _ => Sum.inl (l.reverse, s)
| _ + 1, none => Sum.inl (l.reverse, s)
| _ + 1, some (none, s') => Sum.inr (n, l, s')
| m + 1, some (some a, s') => Sum.inr (m, a::l, s'))
(n, [], s)
#align stream.wseq.split_at Stream'.WSeq.splitAt
def any (s : WSeq α) (p : α → Bool) : Computation Bool :=
Computation.corec
(fun s : WSeq α =>
match Seq.destruct s with
| none => Sum.inl false
| some (none, s') => Sum.inr s'
| some (some a, s') => if p a then Sum.inl true else Sum.inr s')
s
#align stream.wseq.any Stream'.WSeq.any
def all (s : WSeq α) (p : α → Bool) : Computation Bool :=
Computation.corec
(fun s : WSeq α =>
match Seq.destruct s with
| none => Sum.inl true
| some (none, s') => Sum.inr s'
| some (some a, s') => if p a then Sum.inr s' else Sum.inl false)
s
#align stream.wseq.all Stream'.WSeq.all
def scanl (f : α → β → α) (a : α) (s : WSeq β) : WSeq α :=
cons a <|
@Seq.corec (Option α) (α × WSeq β)
(fun ⟨a, s⟩ =>
match Seq.destruct s with
| none => none
| some (none, s') => some (none, a, s')
| some (some b, s') =>
let a' := f a b
some (some a', a', s'))
(a, s)
#align stream.wseq.scanl Stream'.WSeq.scanl
def inits (s : WSeq α) : WSeq (List α) :=
cons [] <|
@Seq.corec (Option (List α)) (Batteries.DList α × WSeq α)
(fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => none
| some (none, s') => some (none, l, s')
| some (some a, s') =>
let l' := l.push a
some (some l'.toList, l', s'))
(Batteries.DList.empty, s)
#align stream.wseq.inits Stream'.WSeq.inits
def collect (s : WSeq α) (n : ℕ) : List α :=
(Seq.take n s).filterMap id
#align stream.wseq.collect Stream'.WSeq.collect
def append : WSeq α → WSeq α → WSeq α :=
Seq.append
#align stream.wseq.append Stream'.WSeq.append
def map (f : α → β) : WSeq α → WSeq β :=
Seq.map (Option.map f)
#align stream.wseq.map Stream'.WSeq.map
def join (S : WSeq (WSeq α)) : WSeq α :=
Seq.join
((fun o : Option (WSeq α) =>
match o with
| none => Seq1.ret none
| some s => (none, s)) <$>
S)
#align stream.wseq.join Stream'.WSeq.join
def bind (s : WSeq α) (f : α → WSeq β) : WSeq β :=
join (map f s)
#align stream.wseq.bind Stream'.WSeq.bind
@[simp]
def LiftRelO (R : α → β → Prop) (C : WSeq α → WSeq β → Prop) :
Option (α × WSeq α) → Option (β × WSeq β) → Prop
| none, none => True
| some (a, s), some (b, t) => R a b ∧ C s t
| _, _ => False
#align stream.wseq.lift_rel_o Stream'.WSeq.LiftRelO
theorem LiftRelO.imp {R S : α → β → Prop} {C D : WSeq α → WSeq β → Prop} (H1 : ∀ a b, R a b → S a b)
(H2 : ∀ s t, C s t → D s t) : ∀ {o p}, LiftRelO R C o p → LiftRelO S D o p
| none, none, _ => trivial
| some (_, _), some (_, _), h => And.imp (H1 _ _) (H2 _ _) h
| none, some _, h => False.elim h
| some (_, _), none, h => False.elim h
#align stream.wseq.lift_rel_o.imp Stream'.WSeq.LiftRelO.imp
theorem LiftRelO.imp_right (R : α → β → Prop) {C D : WSeq α → WSeq β → Prop}
(H : ∀ s t, C s t → D s t) {o p} : LiftRelO R C o p → LiftRelO R D o p :=
LiftRelO.imp (fun _ _ => id) H
#align stream.wseq.lift_rel_o.imp_right Stream'.WSeq.LiftRelO.imp_right
@[simp]
def BisimO (R : WSeq α → WSeq α → Prop) : Option (α × WSeq α) → Option (α × WSeq α) → Prop :=
LiftRelO (· = ·) R
#align stream.wseq.bisim_o Stream'.WSeq.BisimO
theorem BisimO.imp {R S : WSeq α → WSeq α → Prop} (H : ∀ s t, R s t → S s t) {o p} :
BisimO R o p → BisimO S o p :=
LiftRelO.imp_right _ H
#align stream.wseq.bisim_o.imp Stream'.WSeq.BisimO.imp
def LiftRel (R : α → β → Prop) (s : WSeq α) (t : WSeq β) : Prop :=
∃ C : WSeq α → WSeq β → Prop,
C s t ∧ ∀ {s t}, C s t → Computation.LiftRel (LiftRelO R C) (destruct s) (destruct t)
#align stream.wseq.lift_rel Stream'.WSeq.LiftRel
def Equiv : WSeq α → WSeq α → Prop :=
LiftRel (· = ·)
#align stream.wseq.equiv Stream'.WSeq.Equiv
theorem liftRel_destruct {R : α → β → Prop} {s : WSeq α} {t : WSeq β} :
LiftRel R s t → Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t)
| ⟨R, h1, h2⟩ => by
refine Computation.LiftRel.imp ?_ _ _ (h2 h1)
apply LiftRelO.imp_right
exact fun s' t' h' => ⟨R, h', @h2⟩
#align stream.wseq.lift_rel_destruct Stream'.WSeq.liftRel_destruct
theorem liftRel_destruct_iff {R : α → β → Prop} {s : WSeq α} {t : WSeq β} :
LiftRel R s t ↔ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) :=
⟨liftRel_destruct, fun h =>
⟨fun s t =>
LiftRel R s t ∨ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t),
Or.inr h, fun {s t} h => by
have h : Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := by
cases' h with h h
· exact liftRel_destruct h
· assumption
apply Computation.LiftRel.imp _ _ _ h
intro a b
apply LiftRelO.imp_right
intro s t
apply Or.inl⟩⟩
#align stream.wseq.lift_rel_destruct_iff Stream'.WSeq.liftRel_destruct_iff
-- Porting note: To avoid ambiguous notation, `~` became `~ʷ`.
infixl:50 " ~ʷ " => Equiv
theorem destruct_congr {s t : WSeq α} :
s ~ʷ t → Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) :=
liftRel_destruct
#align stream.wseq.destruct_congr Stream'.WSeq.destruct_congr
theorem destruct_congr_iff {s t : WSeq α} :
s ~ʷ t ↔ Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) :=
liftRel_destruct_iff
#align stream.wseq.destruct_congr_iff Stream'.WSeq.destruct_congr_iff
theorem LiftRel.refl (R : α → α → Prop) (H : Reflexive R) : Reflexive (LiftRel R) := fun s => by
refine ⟨(· = ·), rfl, fun {s t} (h : s = t) => ?_⟩
rw [← h]
apply Computation.LiftRel.refl
intro a
cases' a with a
· simp
· cases a
simp only [LiftRelO, and_true]
apply H
#align stream.wseq.lift_rel.refl Stream'.WSeq.LiftRel.refl
| Mathlib/Data/Seq/WSeq.lean | 546 | 549 | theorem LiftRelO.swap (R : α → β → Prop) (C) :
swap (LiftRelO R C) = LiftRelO (swap R) (swap C) := by |
funext x y
rcases x with ⟨⟩ | ⟨hx, jx⟩ <;> rcases y with ⟨⟩ | ⟨hy, jy⟩ <;> rfl
|
import Mathlib.Topology.Separation
#align_import topology.sober from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
open Set
variable {α β : Type*} [TopologicalSpace α] [TopologicalSpace β]
section genericPoint
def IsGenericPoint (x : α) (S : Set α) : Prop :=
closure ({x} : Set α) = S
#align is_generic_point IsGenericPoint
theorem isGenericPoint_def {x : α} {S : Set α} : IsGenericPoint x S ↔ closure ({x} : Set α) = S :=
Iff.rfl
#align is_generic_point_def isGenericPoint_def
theorem IsGenericPoint.def {x : α} {S : Set α} (h : IsGenericPoint x S) :
closure ({x} : Set α) = S :=
h
#align is_generic_point.def IsGenericPoint.def
theorem isGenericPoint_closure {x : α} : IsGenericPoint x (closure ({x} : Set α)) :=
refl _
#align is_generic_point_closure isGenericPoint_closure
variable {x y : α} {S U Z : Set α}
theorem isGenericPoint_iff_specializes : IsGenericPoint x S ↔ ∀ y, x ⤳ y ↔ y ∈ S := by
simp only [specializes_iff_mem_closure, IsGenericPoint, Set.ext_iff]
#align is_generic_point_iff_specializes isGenericPoint_iff_specializes
namespace IsGenericPoint
theorem specializes_iff_mem (h : IsGenericPoint x S) : x ⤳ y ↔ y ∈ S :=
isGenericPoint_iff_specializes.1 h y
#align is_generic_point.specializes_iff_mem IsGenericPoint.specializes_iff_mem
protected theorem specializes (h : IsGenericPoint x S) (h' : y ∈ S) : x ⤳ y :=
h.specializes_iff_mem.2 h'
#align is_generic_point.specializes IsGenericPoint.specializes
protected theorem mem (h : IsGenericPoint x S) : x ∈ S :=
h.specializes_iff_mem.1 specializes_rfl
#align is_generic_point.mem IsGenericPoint.mem
protected theorem isClosed (h : IsGenericPoint x S) : IsClosed S :=
h.def ▸ isClosed_closure
#align is_generic_point.is_closed IsGenericPoint.isClosed
protected theorem isIrreducible (h : IsGenericPoint x S) : IsIrreducible S :=
h.def ▸ isIrreducible_singleton.closure
#align is_generic_point.is_irreducible IsGenericPoint.isIrreducible
protected theorem inseparable (h : IsGenericPoint x S) (h' : IsGenericPoint y S) :
Inseparable x y :=
(h.specializes h'.mem).antisymm (h'.specializes h.mem)
protected theorem eq [T0Space α] (h : IsGenericPoint x S) (h' : IsGenericPoint y S) : x = y :=
(h.inseparable h').eq
#align is_generic_point.eq IsGenericPoint.eq
theorem mem_open_set_iff (h : IsGenericPoint x S) (hU : IsOpen U) : x ∈ U ↔ (S ∩ U).Nonempty :=
⟨fun h' => ⟨x, h.mem, h'⟩, fun ⟨_y, hyS, hyU⟩ => (h.specializes hyS).mem_open hU hyU⟩
#align is_generic_point.mem_open_set_iff IsGenericPoint.mem_open_set_iff
| Mathlib/Topology/Sober.lean | 92 | 93 | theorem disjoint_iff (h : IsGenericPoint x S) (hU : IsOpen U) : Disjoint S U ↔ x ∉ U := by |
rw [h.mem_open_set_iff hU, ← not_disjoint_iff_nonempty_inter, Classical.not_not]
|
import Mathlib.MeasureTheory.Integral.IntegrableOn
import Mathlib.MeasureTheory.Integral.Bochner
import Mathlib.MeasureTheory.Function.LocallyIntegrable
import Mathlib.Topology.MetricSpace.ThickenedIndicator
import Mathlib.Topology.ContinuousFunction.Compact
import Mathlib.Analysis.NormedSpace.HahnBanach.SeparatingDual
#align_import measure_theory.integral.setIntegral from "leanprover-community/mathlib"@"24e0c85412ff6adbeca08022c25ba4876eedf37a"
assert_not_exists InnerProductSpace
noncomputable section
open Set Filter TopologicalSpace MeasureTheory Function RCLike
open scoped Classical Topology ENNReal NNReal
variable {X Y E F : Type*} [MeasurableSpace X]
namespace MeasureTheory
section NormedAddCommGroup
variable [NormedAddCommGroup E] [NormedSpace ℝ E]
{f g : X → E} {s t : Set X} {μ ν : Measure X} {l l' : Filter X}
theorem setIntegral_congr_ae₀ (hs : NullMeasurableSet s μ) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
integral_congr_ae ((ae_restrict_iff'₀ hs).2 h)
#align measure_theory.set_integral_congr_ae₀ MeasureTheory.setIntegral_congr_ae₀
@[deprecated (since := "2024-04-17")]
alias set_integral_congr_ae₀ := setIntegral_congr_ae₀
theorem setIntegral_congr_ae (hs : MeasurableSet s) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
integral_congr_ae ((ae_restrict_iff' hs).2 h)
#align measure_theory.set_integral_congr_ae MeasureTheory.setIntegral_congr_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_congr_ae := setIntegral_congr_ae
theorem setIntegral_congr₀ (hs : NullMeasurableSet s μ) (h : EqOn f g s) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
setIntegral_congr_ae₀ hs <| eventually_of_forall h
#align measure_theory.set_integral_congr₀ MeasureTheory.setIntegral_congr₀
@[deprecated (since := "2024-04-17")]
alias set_integral_congr₀ := setIntegral_congr₀
theorem setIntegral_congr (hs : MeasurableSet s) (h : EqOn f g s) :
∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ :=
setIntegral_congr_ae hs <| eventually_of_forall h
#align measure_theory.set_integral_congr MeasureTheory.setIntegral_congr
@[deprecated (since := "2024-04-17")]
alias set_integral_congr := setIntegral_congr
theorem setIntegral_congr_set_ae (hst : s =ᵐ[μ] t) : ∫ x in s, f x ∂μ = ∫ x in t, f x ∂μ := by
rw [Measure.restrict_congr_set hst]
#align measure_theory.set_integral_congr_set_ae MeasureTheory.setIntegral_congr_set_ae
@[deprecated (since := "2024-04-17")]
alias set_integral_congr_set_ae := setIntegral_congr_set_ae
theorem integral_union_ae (hst : AEDisjoint μ s t) (ht : NullMeasurableSet t μ)
(hfs : IntegrableOn f s μ) (hft : IntegrableOn f t μ) :
∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ + ∫ x in t, f x ∂μ := by
simp only [IntegrableOn, Measure.restrict_union₀ hst ht, integral_add_measure hfs hft]
#align measure_theory.integral_union_ae MeasureTheory.integral_union_ae
theorem integral_union (hst : Disjoint s t) (ht : MeasurableSet t) (hfs : IntegrableOn f s μ)
(hft : IntegrableOn f t μ) : ∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ + ∫ x in t, f x ∂μ :=
integral_union_ae hst.aedisjoint ht.nullMeasurableSet hfs hft
#align measure_theory.integral_union MeasureTheory.integral_union
theorem integral_diff (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) (hts : t ⊆ s) :
∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ - ∫ x in t, f x ∂μ := by
rw [eq_sub_iff_add_eq, ← integral_union, diff_union_of_subset hts]
exacts [disjoint_sdiff_self_left, ht, hfs.mono_set diff_subset, hfs.mono_set hts]
#align measure_theory.integral_diff MeasureTheory.integral_diff
theorem integral_inter_add_diff₀ (ht : NullMeasurableSet t μ) (hfs : IntegrableOn f s μ) :
∫ x in s ∩ t, f x ∂μ + ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ := by
rw [← Measure.restrict_inter_add_diff₀ s ht, integral_add_measure]
· exact Integrable.mono_measure hfs (Measure.restrict_mono inter_subset_left le_rfl)
· exact Integrable.mono_measure hfs (Measure.restrict_mono diff_subset le_rfl)
#align measure_theory.integral_inter_add_diff₀ MeasureTheory.integral_inter_add_diff₀
theorem integral_inter_add_diff (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) :
∫ x in s ∩ t, f x ∂μ + ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ :=
integral_inter_add_diff₀ ht.nullMeasurableSet hfs
#align measure_theory.integral_inter_add_diff MeasureTheory.integral_inter_add_diff
theorem integral_finset_biUnion {ι : Type*} (t : Finset ι) {s : ι → Set X}
(hs : ∀ i ∈ t, MeasurableSet (s i)) (h's : Set.Pairwise (↑t) (Disjoint on s))
(hf : ∀ i ∈ t, IntegrableOn f (s i) μ) :
∫ x in ⋃ i ∈ t, s i, f x ∂μ = ∑ i ∈ t, ∫ x in s i, f x ∂μ := by
induction' t using Finset.induction_on with a t hat IH hs h's
· simp
· simp only [Finset.coe_insert, Finset.forall_mem_insert, Set.pairwise_insert,
Finset.set_biUnion_insert] at hs hf h's ⊢
rw [integral_union _ _ hf.1 (integrableOn_finset_iUnion.2 hf.2)]
· rw [Finset.sum_insert hat, IH hs.2 h's.1 hf.2]
· simp only [disjoint_iUnion_right]
exact fun i hi => (h's.2 i hi (ne_of_mem_of_not_mem hi hat).symm).1
· exact Finset.measurableSet_biUnion _ hs.2
#align measure_theory.integral_finset_bUnion MeasureTheory.integral_finset_biUnion
theorem integral_fintype_iUnion {ι : Type*} [Fintype ι] {s : ι → Set X}
(hs : ∀ i, MeasurableSet (s i)) (h's : Pairwise (Disjoint on s))
(hf : ∀ i, IntegrableOn f (s i) μ) : ∫ x in ⋃ i, s i, f x ∂μ = ∑ i, ∫ x in s i, f x ∂μ := by
convert integral_finset_biUnion Finset.univ (fun i _ => hs i) _ fun i _ => hf i
· simp
· simp [pairwise_univ, h's]
#align measure_theory.integral_fintype_Union MeasureTheory.integral_fintype_iUnion
theorem integral_empty : ∫ x in ∅, f x ∂μ = 0 := by
rw [Measure.restrict_empty, integral_zero_measure]
#align measure_theory.integral_empty MeasureTheory.integral_empty
theorem integral_univ : ∫ x in univ, f x ∂μ = ∫ x, f x ∂μ := by rw [Measure.restrict_univ]
#align measure_theory.integral_univ MeasureTheory.integral_univ
theorem integral_add_compl₀ (hs : NullMeasurableSet s μ) (hfi : Integrable f μ) :
∫ x in s, f x ∂μ + ∫ x in sᶜ, f x ∂μ = ∫ x, f x ∂μ := by
rw [
← integral_union_ae disjoint_compl_right.aedisjoint hs.compl hfi.integrableOn hfi.integrableOn,
union_compl_self, integral_univ]
#align measure_theory.integral_add_compl₀ MeasureTheory.integral_add_compl₀
theorem integral_add_compl (hs : MeasurableSet s) (hfi : Integrable f μ) :
∫ x in s, f x ∂μ + ∫ x in sᶜ, f x ∂μ = ∫ x, f x ∂μ :=
integral_add_compl₀ hs.nullMeasurableSet hfi
#align measure_theory.integral_add_compl MeasureTheory.integral_add_compl
theorem integral_indicator (hs : MeasurableSet s) :
∫ x, indicator s f x ∂μ = ∫ x in s, f x ∂μ := by
by_cases hfi : IntegrableOn f s μ; swap
· rw [integral_undef hfi, integral_undef]
rwa [integrable_indicator_iff hs]
calc
∫ x, indicator s f x ∂μ = ∫ x in s, indicator s f x ∂μ + ∫ x in sᶜ, indicator s f x ∂μ :=
(integral_add_compl hs (hfi.integrable_indicator hs)).symm
_ = ∫ x in s, f x ∂μ + ∫ x in sᶜ, 0 ∂μ :=
(congr_arg₂ (· + ·) (integral_congr_ae (indicator_ae_eq_restrict hs))
(integral_congr_ae (indicator_ae_eq_restrict_compl hs)))
_ = ∫ x in s, f x ∂μ := by simp
#align measure_theory.integral_indicator MeasureTheory.integral_indicator
theorem setIntegral_indicator (ht : MeasurableSet t) :
∫ x in s, t.indicator f x ∂μ = ∫ x in s ∩ t, f x ∂μ := by
rw [integral_indicator ht, Measure.restrict_restrict ht, Set.inter_comm]
#align measure_theory.set_integral_indicator MeasureTheory.setIntegral_indicator
@[deprecated (since := "2024-04-17")]
alias set_integral_indicator := setIntegral_indicator
theorem ofReal_setIntegral_one_of_measure_ne_top {X : Type*} {m : MeasurableSpace X}
{μ : Measure X} {s : Set X} (hs : μ s ≠ ∞) : ENNReal.ofReal (∫ _ in s, (1 : ℝ) ∂μ) = μ s :=
calc
ENNReal.ofReal (∫ _ in s, (1 : ℝ) ∂μ) = ENNReal.ofReal (∫ _ in s, ‖(1 : ℝ)‖ ∂μ) := by
simp only [norm_one]
_ = ∫⁻ _ in s, 1 ∂μ := by
rw [ofReal_integral_norm_eq_lintegral_nnnorm (integrableOn_const.2 (Or.inr hs.lt_top))]
simp only [nnnorm_one, ENNReal.coe_one]
_ = μ s := set_lintegral_one _
#align measure_theory.of_real_set_integral_one_of_measure_ne_top MeasureTheory.ofReal_setIntegral_one_of_measure_ne_top
@[deprecated (since := "2024-04-17")]
alias ofReal_set_integral_one_of_measure_ne_top := ofReal_setIntegral_one_of_measure_ne_top
theorem ofReal_setIntegral_one {X : Type*} {_ : MeasurableSpace X} (μ : Measure X)
[IsFiniteMeasure μ] (s : Set X) : ENNReal.ofReal (∫ _ in s, (1 : ℝ) ∂μ) = μ s :=
ofReal_setIntegral_one_of_measure_ne_top (measure_ne_top μ s)
#align measure_theory.of_real_set_integral_one MeasureTheory.ofReal_setIntegral_one
@[deprecated (since := "2024-04-17")]
alias ofReal_set_integral_one := ofReal_setIntegral_one
theorem integral_piecewise [DecidablePred (· ∈ s)] (hs : MeasurableSet s) (hf : IntegrableOn f s μ)
(hg : IntegrableOn g sᶜ μ) :
∫ x, s.piecewise f g x ∂μ = ∫ x in s, f x ∂μ + ∫ x in sᶜ, g x ∂μ := by
rw [← Set.indicator_add_compl_eq_piecewise,
integral_add' (hf.integrable_indicator hs) (hg.integrable_indicator hs.compl),
integral_indicator hs, integral_indicator hs.compl]
#align measure_theory.integral_piecewise MeasureTheory.integral_piecewise
theorem tendsto_setIntegral_of_monotone {ι : Type*} [Countable ι] [SemilatticeSup ι]
{s : ι → Set X} (hsm : ∀ i, MeasurableSet (s i)) (h_mono : Monotone s)
(hfi : IntegrableOn f (⋃ n, s n) μ) :
Tendsto (fun i => ∫ x in s i, f x ∂μ) atTop (𝓝 (∫ x in ⋃ n, s n, f x ∂μ)) := by
have hfi' : ∫⁻ x in ⋃ n, s n, ‖f x‖₊ ∂μ < ∞ := hfi.2
set S := ⋃ i, s i
have hSm : MeasurableSet S := MeasurableSet.iUnion hsm
have hsub : ∀ {i}, s i ⊆ S := @(subset_iUnion s)
rw [← withDensity_apply _ hSm] at hfi'
set ν := μ.withDensity fun x => ‖f x‖₊ with hν
refine Metric.nhds_basis_closedBall.tendsto_right_iff.2 fun ε ε0 => ?_
lift ε to ℝ≥0 using ε0.le
have : ∀ᶠ i in atTop, ν (s i) ∈ Icc (ν S - ε) (ν S + ε) :=
tendsto_measure_iUnion h_mono (ENNReal.Icc_mem_nhds hfi'.ne (ENNReal.coe_pos.2 ε0).ne')
filter_upwards [this] with i hi
rw [mem_closedBall_iff_norm', ← integral_diff (hsm i) hfi hsub, ← coe_nnnorm, NNReal.coe_le_coe, ←
ENNReal.coe_le_coe]
refine (ennnorm_integral_le_lintegral_ennnorm _).trans ?_
rw [← withDensity_apply _ (hSm.diff (hsm _)), ← hν, measure_diff hsub (hsm _)]
exacts [tsub_le_iff_tsub_le.mp hi.1,
(hi.2.trans_lt <| ENNReal.add_lt_top.2 ⟨hfi', ENNReal.coe_lt_top⟩).ne]
#align measure_theory.tendsto_set_integral_of_monotone MeasureTheory.tendsto_setIntegral_of_monotone
@[deprecated (since := "2024-04-17")]
alias tendsto_set_integral_of_monotone := tendsto_setIntegral_of_monotone
theorem tendsto_setIntegral_of_antitone {ι : Type*} [Countable ι] [SemilatticeSup ι]
{s : ι → Set X} (hsm : ∀ i, MeasurableSet (s i)) (h_anti : Antitone s)
(hfi : ∃ i, IntegrableOn f (s i) μ) :
Tendsto (fun i ↦ ∫ x in s i, f x ∂μ) atTop (𝓝 (∫ x in ⋂ n, s n, f x ∂μ)) := by
set S := ⋂ i, s i
have hSm : MeasurableSet S := MeasurableSet.iInter hsm
have hsub i : S ⊆ s i := iInter_subset _ _
set ν := μ.withDensity fun x => ‖f x‖₊ with hν
refine Metric.nhds_basis_closedBall.tendsto_right_iff.2 fun ε ε0 => ?_
lift ε to ℝ≥0 using ε0.le
rcases hfi with ⟨i₀, hi₀⟩
have νi₀ : ν (s i₀) ≠ ∞ := by
simpa [hsm i₀, ν, ENNReal.ofReal, norm_toNNReal] using hi₀.norm.lintegral_lt_top.ne
have νS : ν S ≠ ∞ := ((measure_mono (hsub i₀)).trans_lt νi₀.lt_top).ne
have : ∀ᶠ i in atTop, ν (s i) ∈ Icc (ν S - ε) (ν S + ε) := by
apply tendsto_measure_iInter hsm h_anti ⟨i₀, νi₀⟩
apply ENNReal.Icc_mem_nhds νS (ENNReal.coe_pos.2 ε0).ne'
filter_upwards [this, Ici_mem_atTop i₀] with i hi h'i
rw [mem_closedBall_iff_norm, ← integral_diff hSm (hi₀.mono_set (h_anti h'i)) (hsub i),
← coe_nnnorm, NNReal.coe_le_coe, ← ENNReal.coe_le_coe]
refine (ennnorm_integral_le_lintegral_ennnorm _).trans ?_
rw [← withDensity_apply _ ((hsm _).diff hSm), ← hν, measure_diff (hsub i) hSm νS]
exact tsub_le_iff_left.2 hi.2
@[deprecated (since := "2024-04-17")]
alias tendsto_set_integral_of_antitone := tendsto_setIntegral_of_antitone
| Mathlib/MeasureTheory/Integral/SetIntegral.lean | 288 | 293 | theorem hasSum_integral_iUnion_ae {ι : Type*} [Countable ι] {s : ι → Set X}
(hm : ∀ i, NullMeasurableSet (s i) μ) (hd : Pairwise (AEDisjoint μ on s))
(hfi : IntegrableOn f (⋃ i, s i) μ) :
HasSum (fun n => ∫ x in s n, f x ∂μ) (∫ x in ⋃ n, s n, f x ∂μ) := by |
simp only [IntegrableOn, Measure.restrict_iUnion_ae hd hm] at hfi ⊢
exact hasSum_integral_measure hfi
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.