Context stringlengths 57 85k | file_name stringlengths 21 79 | start int64 14 2.42k | end int64 18 2.43k | theorem stringlengths 25 2.71k | proof stringlengths 5 10.6k |
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import Mathlib.Probability.Process.Adapted
import Mathlib.MeasureTheory.Constructions.BorelSpace.Order
#align_import probability.process.stopping from "leanprover-community/mathlib"@"ba074af83b6cf54c3104e59402b39410ddbd6dca"
open Filter Order TopologicalSpace
open scoped Classical MeasureTheory NNReal ENNReal Topology
namespace MeasureTheory
variable {Ω β ι : Type*} {m : MeasurableSpace Ω}
def IsStoppingTime [Preorder ι] (f : Filtration ι m) (τ : Ω → ι) :=
∀ i : ι, MeasurableSet[f i] <| {ω | τ ω ≤ i}
#align measure_theory.is_stopping_time MeasureTheory.IsStoppingTime
theorem isStoppingTime_const [Preorder ι] (f : Filtration ι m) (i : ι) :
IsStoppingTime f fun _ => i := fun j => by simp only [MeasurableSet.const]
#align measure_theory.is_stopping_time_const MeasureTheory.isStoppingTime_const
section MeasurableSet
section Preorder
variable [Preorder ι] {f : Filtration ι m} {τ : Ω → ι}
protected theorem IsStoppingTime.measurableSet_le (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[f i] {ω | τ ω ≤ i} :=
hτ i
#align measure_theory.is_stopping_time.measurable_set_le MeasureTheory.IsStoppingTime.measurableSet_le
| Mathlib/Probability/Process/Stopping.lean | 72 | 82 | theorem IsStoppingTime.measurableSet_lt_of_pred [PredOrder ι] (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[f i] {ω | τ ω < i} := by |
by_cases hi_min : IsMin i
· suffices {ω : Ω | τ ω < i} = ∅ by rw [this]; exact @MeasurableSet.empty _ (f i)
ext1 ω
simp only [Set.mem_setOf_eq, Set.mem_empty_iff_false, iff_false_iff]
rw [isMin_iff_forall_not_lt] at hi_min
exact hi_min (τ ω)
have : {ω : Ω | τ ω < i} = τ ⁻¹' Set.Iic (pred i) := by ext; simp [Iic_pred_of_not_isMin hi_min]
rw [this]
exact f.mono (pred_le i) _ (hτ.measurableSet_le <| pred i)
|
import Mathlib.Analysis.Convex.Side
import Mathlib.Geometry.Euclidean.Angle.Oriented.Rotation
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine
#align_import geometry.euclidean.angle.oriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open FiniteDimensional Complex
open scoped Affine EuclideanGeometry Real RealInnerProductSpace ComplexConjugate
namespace EuclideanGeometry
variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
[NormedAddTorsor V P] [hd2 : Fact (finrank ℝ V = 2)] [Module.Oriented ℝ V (Fin 2)]
abbrev o := @Module.Oriented.positiveOrientation
def oangle (p₁ p₂ p₃ : P) : Real.Angle :=
o.oangle (p₁ -ᵥ p₂) (p₃ -ᵥ p₂)
#align euclidean_geometry.oangle EuclideanGeometry.oangle
@[inherit_doc] scoped notation "∡" => EuclideanGeometry.oangle
theorem continuousAt_oangle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) :
ContinuousAt (fun y : P × P × P => ∡ y.1 y.2.1 y.2.2) x := by
let f : P × P × P → V × V := fun y => (y.1 -ᵥ y.2.1, y.2.2 -ᵥ y.2.1)
have hf1 : (f x).1 ≠ 0 := by simp [hx12]
have hf2 : (f x).2 ≠ 0 := by simp [hx32]
exact (o.continuousAt_oangle hf1 hf2).comp ((continuous_fst.vsub continuous_snd.fst).prod_mk
(continuous_snd.snd.vsub continuous_snd.fst)).continuousAt
#align euclidean_geometry.continuous_at_oangle EuclideanGeometry.continuousAt_oangle
@[simp]
theorem oangle_self_left (p₁ p₂ : P) : ∡ p₁ p₁ p₂ = 0 := by simp [oangle]
#align euclidean_geometry.oangle_self_left EuclideanGeometry.oangle_self_left
@[simp]
theorem oangle_self_right (p₁ p₂ : P) : ∡ p₁ p₂ p₂ = 0 := by simp [oangle]
#align euclidean_geometry.oangle_self_right EuclideanGeometry.oangle_self_right
@[simp]
theorem oangle_self_left_right (p₁ p₂ : P) : ∡ p₁ p₂ p₁ = 0 :=
o.oangle_self _
#align euclidean_geometry.oangle_self_left_right EuclideanGeometry.oangle_self_left_right
theorem left_ne_of_oangle_ne_zero {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ ≠ 0) : p₁ ≠ p₂ := by
rw [← @vsub_ne_zero V]; exact o.left_ne_zero_of_oangle_ne_zero h
#align euclidean_geometry.left_ne_of_oangle_ne_zero EuclideanGeometry.left_ne_of_oangle_ne_zero
theorem right_ne_of_oangle_ne_zero {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ ≠ 0) : p₃ ≠ p₂ := by
rw [← @vsub_ne_zero V]; exact o.right_ne_zero_of_oangle_ne_zero h
#align euclidean_geometry.right_ne_of_oangle_ne_zero EuclideanGeometry.right_ne_of_oangle_ne_zero
theorem left_ne_right_of_oangle_ne_zero {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ ≠ 0) : p₁ ≠ p₃ := by
rw [← (vsub_left_injective p₂).ne_iff]; exact o.ne_of_oangle_ne_zero h
#align euclidean_geometry.left_ne_right_of_oangle_ne_zero EuclideanGeometry.left_ne_right_of_oangle_ne_zero
theorem left_ne_of_oangle_eq_pi {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = π) : p₁ ≠ p₂ :=
left_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.left_ne_of_oangle_eq_pi EuclideanGeometry.left_ne_of_oangle_eq_pi
theorem right_ne_of_oangle_eq_pi {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = π) : p₃ ≠ p₂ :=
right_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.right_ne_of_oangle_eq_pi EuclideanGeometry.right_ne_of_oangle_eq_pi
theorem left_ne_right_of_oangle_eq_pi {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = π) : p₁ ≠ p₃ :=
left_ne_right_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.left_ne_right_of_oangle_eq_pi EuclideanGeometry.left_ne_right_of_oangle_eq_pi
theorem left_ne_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (π / 2 : ℝ)) : p₁ ≠ p₂ :=
left_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.left_ne_of_oangle_eq_pi_div_two EuclideanGeometry.left_ne_of_oangle_eq_pi_div_two
theorem right_ne_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (π / 2 : ℝ)) : p₃ ≠ p₂ :=
right_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.right_ne_of_oangle_eq_pi_div_two EuclideanGeometry.right_ne_of_oangle_eq_pi_div_two
theorem left_ne_right_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (π / 2 : ℝ)) :
p₁ ≠ p₃ :=
left_ne_right_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.left_ne_right_of_oangle_eq_pi_div_two EuclideanGeometry.left_ne_right_of_oangle_eq_pi_div_two
theorem left_ne_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (-π / 2 : ℝ)) :
p₁ ≠ p₂ :=
left_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.left_ne_of_oangle_eq_neg_pi_div_two EuclideanGeometry.left_ne_of_oangle_eq_neg_pi_div_two
theorem right_ne_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (-π / 2 : ℝ)) :
p₃ ≠ p₂ :=
right_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.right_ne_of_oangle_eq_neg_pi_div_two EuclideanGeometry.right_ne_of_oangle_eq_neg_pi_div_two
theorem left_ne_right_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (-π / 2 : ℝ)) :
p₁ ≠ p₃ :=
left_ne_right_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.left_ne_right_of_oangle_eq_neg_pi_div_two EuclideanGeometry.left_ne_right_of_oangle_eq_neg_pi_div_two
theorem left_ne_of_oangle_sign_ne_zero {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign ≠ 0) : p₁ ≠ p₂ :=
left_ne_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align euclidean_geometry.left_ne_of_oangle_sign_ne_zero EuclideanGeometry.left_ne_of_oangle_sign_ne_zero
theorem right_ne_of_oangle_sign_ne_zero {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign ≠ 0) : p₃ ≠ p₂ :=
right_ne_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align euclidean_geometry.right_ne_of_oangle_sign_ne_zero EuclideanGeometry.right_ne_of_oangle_sign_ne_zero
theorem left_ne_right_of_oangle_sign_ne_zero {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign ≠ 0) : p₁ ≠ p₃ :=
left_ne_right_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align euclidean_geometry.left_ne_right_of_oangle_sign_ne_zero EuclideanGeometry.left_ne_right_of_oangle_sign_ne_zero
theorem left_ne_of_oangle_sign_eq_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = 1) : p₁ ≠ p₂ :=
left_ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
#align euclidean_geometry.left_ne_of_oangle_sign_eq_one EuclideanGeometry.left_ne_of_oangle_sign_eq_one
theorem right_ne_of_oangle_sign_eq_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = 1) : p₃ ≠ p₂ :=
right_ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
#align euclidean_geometry.right_ne_of_oangle_sign_eq_one EuclideanGeometry.right_ne_of_oangle_sign_eq_one
theorem left_ne_right_of_oangle_sign_eq_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = 1) : p₁ ≠ p₃ :=
left_ne_right_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
#align euclidean_geometry.left_ne_right_of_oangle_sign_eq_one EuclideanGeometry.left_ne_right_of_oangle_sign_eq_one
theorem left_ne_of_oangle_sign_eq_neg_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = -1) : p₁ ≠ p₂ :=
left_ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
#align euclidean_geometry.left_ne_of_oangle_sign_eq_neg_one EuclideanGeometry.left_ne_of_oangle_sign_eq_neg_one
theorem right_ne_of_oangle_sign_eq_neg_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = -1) : p₃ ≠ p₂ :=
right_ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
#align euclidean_geometry.right_ne_of_oangle_sign_eq_neg_one EuclideanGeometry.right_ne_of_oangle_sign_eq_neg_one
theorem left_ne_right_of_oangle_sign_eq_neg_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = -1) :
p₁ ≠ p₃ :=
left_ne_right_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
#align euclidean_geometry.left_ne_right_of_oangle_sign_eq_neg_one EuclideanGeometry.left_ne_right_of_oangle_sign_eq_neg_one
theorem oangle_rev (p₁ p₂ p₃ : P) : ∡ p₃ p₂ p₁ = -∡ p₁ p₂ p₃ :=
o.oangle_rev _ _
#align euclidean_geometry.oangle_rev EuclideanGeometry.oangle_rev
@[simp]
theorem oangle_add_oangle_rev (p₁ p₂ p₃ : P) : ∡ p₁ p₂ p₃ + ∡ p₃ p₂ p₁ = 0 :=
o.oangle_add_oangle_rev _ _
#align euclidean_geometry.oangle_add_oangle_rev EuclideanGeometry.oangle_add_oangle_rev
theorem oangle_eq_zero_iff_oangle_rev_eq_zero {p₁ p₂ p₃ : P} : ∡ p₁ p₂ p₃ = 0 ↔ ∡ p₃ p₂ p₁ = 0 :=
o.oangle_eq_zero_iff_oangle_rev_eq_zero
#align euclidean_geometry.oangle_eq_zero_iff_oangle_rev_eq_zero EuclideanGeometry.oangle_eq_zero_iff_oangle_rev_eq_zero
theorem oangle_eq_pi_iff_oangle_rev_eq_pi {p₁ p₂ p₃ : P} : ∡ p₁ p₂ p₃ = π ↔ ∡ p₃ p₂ p₁ = π :=
o.oangle_eq_pi_iff_oangle_rev_eq_pi
#align euclidean_geometry.oangle_eq_pi_iff_oangle_rev_eq_pi EuclideanGeometry.oangle_eq_pi_iff_oangle_rev_eq_pi
theorem oangle_ne_zero_and_ne_pi_iff_affineIndependent {p₁ p₂ p₃ : P} :
∡ p₁ p₂ p₃ ≠ 0 ∧ ∡ p₁ p₂ p₃ ≠ π ↔ AffineIndependent ℝ ![p₁, p₂, p₃] := by
rw [oangle, o.oangle_ne_zero_and_ne_pi_iff_linearIndependent,
affineIndependent_iff_linearIndependent_vsub ℝ _ (1 : Fin 3), ←
linearIndependent_equiv (finSuccAboveEquiv (1 : Fin 3)).toEquiv]
convert Iff.rfl
ext i
fin_cases i <;> rfl
#align euclidean_geometry.oangle_ne_zero_and_ne_pi_iff_affine_independent EuclideanGeometry.oangle_ne_zero_and_ne_pi_iff_affineIndependent
theorem oangle_eq_zero_or_eq_pi_iff_collinear {p₁ p₂ p₃ : P} :
∡ p₁ p₂ p₃ = 0 ∨ ∡ p₁ p₂ p₃ = π ↔ Collinear ℝ ({p₁, p₂, p₃} : Set P) := by
rw [← not_iff_not, not_or, oangle_ne_zero_and_ne_pi_iff_affineIndependent,
affineIndependent_iff_not_collinear_set]
#align euclidean_geometry.oangle_eq_zero_or_eq_pi_iff_collinear EuclideanGeometry.oangle_eq_zero_or_eq_pi_iff_collinear
theorem oangle_sign_eq_zero_iff_collinear {p₁ p₂ p₃ : P} :
(∡ p₁ p₂ p₃).sign = 0 ↔ Collinear ℝ ({p₁, p₂, p₃} : Set P) := by
rw [Real.Angle.sign_eq_zero_iff, oangle_eq_zero_or_eq_pi_iff_collinear]
theorem affineIndependent_iff_of_two_zsmul_oangle_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P}
(h : (2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₄ p₅ p₆) :
AffineIndependent ℝ ![p₁, p₂, p₃] ↔ AffineIndependent ℝ ![p₄, p₅, p₆] := by
simp_rw [← oangle_ne_zero_and_ne_pi_iff_affineIndependent, ← Real.Angle.two_zsmul_ne_zero_iff, h]
#align euclidean_geometry.affine_independent_iff_of_two_zsmul_oangle_eq EuclideanGeometry.affineIndependent_iff_of_two_zsmul_oangle_eq
theorem collinear_iff_of_two_zsmul_oangle_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P}
(h : (2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₄ p₅ p₆) :
Collinear ℝ ({p₁, p₂, p₃} : Set P) ↔ Collinear ℝ ({p₄, p₅, p₆} : Set P) := by
simp_rw [← oangle_eq_zero_or_eq_pi_iff_collinear, ← Real.Angle.two_zsmul_eq_zero_iff, h]
#align euclidean_geometry.collinear_iff_of_two_zsmul_oangle_eq EuclideanGeometry.collinear_iff_of_two_zsmul_oangle_eq
theorem two_zsmul_oangle_of_vectorSpan_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P}
(h₁₂₄₅ : vectorSpan ℝ ({p₁, p₂} : Set P) = vectorSpan ℝ ({p₄, p₅} : Set P))
(h₃₂₆₅ : vectorSpan ℝ ({p₃, p₂} : Set P) = vectorSpan ℝ ({p₆, p₅} : Set P)) :
(2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₄ p₅ p₆ := by
simp_rw [vectorSpan_pair] at h₁₂₄₅ h₃₂₆₅
exact o.two_zsmul_oangle_of_span_eq_of_span_eq h₁₂₄₅ h₃₂₆₅
#align euclidean_geometry.two_zsmul_oangle_of_vector_span_eq EuclideanGeometry.two_zsmul_oangle_of_vectorSpan_eq
theorem two_zsmul_oangle_of_parallel {p₁ p₂ p₃ p₄ p₅ p₆ : P}
(h₁₂₄₅ : line[ℝ, p₁, p₂] ∥ line[ℝ, p₄, p₅]) (h₃₂₆₅ : line[ℝ, p₃, p₂] ∥ line[ℝ, p₆, p₅]) :
(2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₄ p₅ p₆ := by
rw [AffineSubspace.affineSpan_pair_parallel_iff_vectorSpan_eq] at h₁₂₄₅ h₃₂₆₅
exact two_zsmul_oangle_of_vectorSpan_eq h₁₂₄₅ h₃₂₆₅
#align euclidean_geometry.two_zsmul_oangle_of_parallel EuclideanGeometry.two_zsmul_oangle_of_parallel
@[simp]
theorem oangle_add {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₁ p p₂ + ∡ p₂ p p₃ = ∡ p₁ p p₃ :=
o.oangle_add (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
#align euclidean_geometry.oangle_add EuclideanGeometry.oangle_add
@[simp]
theorem oangle_add_swap {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₂ p p₃ + ∡ p₁ p p₂ = ∡ p₁ p p₃ :=
o.oangle_add_swap (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
#align euclidean_geometry.oangle_add_swap EuclideanGeometry.oangle_add_swap
@[simp]
theorem oangle_sub_left {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₁ p p₃ - ∡ p₁ p p₂ = ∡ p₂ p p₃ :=
o.oangle_sub_left (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
#align euclidean_geometry.oangle_sub_left EuclideanGeometry.oangle_sub_left
@[simp]
theorem oangle_sub_right {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₁ p p₃ - ∡ p₂ p p₃ = ∡ p₁ p p₂ :=
o.oangle_sub_right (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
#align euclidean_geometry.oangle_sub_right EuclideanGeometry.oangle_sub_right
@[simp]
theorem oangle_add_cyc3 {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₁ p p₂ + ∡ p₂ p p₃ + ∡ p₃ p p₁ = 0 :=
o.oangle_add_cyc3 (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
#align euclidean_geometry.oangle_add_cyc3 EuclideanGeometry.oangle_add_cyc3
theorem oangle_eq_oangle_of_dist_eq {p₁ p₂ p₃ : P} (h : dist p₁ p₂ = dist p₁ p₃) :
∡ p₁ p₂ p₃ = ∡ p₂ p₃ p₁ := by
simp_rw [dist_eq_norm_vsub V] at h
rw [oangle, oangle, ← vsub_sub_vsub_cancel_left p₃ p₂ p₁, ← vsub_sub_vsub_cancel_left p₂ p₃ p₁,
o.oangle_sub_eq_oangle_sub_rev_of_norm_eq h]
#align euclidean_geometry.oangle_eq_oangle_of_dist_eq EuclideanGeometry.oangle_eq_oangle_of_dist_eq
theorem oangle_eq_pi_sub_two_zsmul_oangle_of_dist_eq {p₁ p₂ p₃ : P} (hn : p₂ ≠ p₃)
(h : dist p₁ p₂ = dist p₁ p₃) : ∡ p₃ p₁ p₂ = π - (2 : ℤ) • ∡ p₁ p₂ p₃ := by
simp_rw [dist_eq_norm_vsub V] at h
rw [oangle, oangle]
convert o.oangle_eq_pi_sub_two_zsmul_oangle_sub_of_norm_eq _ h using 1
· rw [← neg_vsub_eq_vsub_rev p₁ p₃, ← neg_vsub_eq_vsub_rev p₁ p₂, o.oangle_neg_neg]
· rw [← o.oangle_sub_eq_oangle_sub_rev_of_norm_eq h]; simp
· simpa using hn
#align euclidean_geometry.oangle_eq_pi_sub_two_zsmul_oangle_of_dist_eq EuclideanGeometry.oangle_eq_pi_sub_two_zsmul_oangle_of_dist_eq
theorem abs_oangle_right_toReal_lt_pi_div_two_of_dist_eq {p₁ p₂ p₃ : P}
(h : dist p₁ p₂ = dist p₁ p₃) : |(∡ p₁ p₂ p₃).toReal| < π / 2 := by
simp_rw [dist_eq_norm_vsub V] at h
rw [oangle, ← vsub_sub_vsub_cancel_left p₃ p₂ p₁]
exact o.abs_oangle_sub_right_toReal_lt_pi_div_two h
#align euclidean_geometry.abs_oangle_right_to_real_lt_pi_div_two_of_dist_eq EuclideanGeometry.abs_oangle_right_toReal_lt_pi_div_two_of_dist_eq
theorem abs_oangle_left_toReal_lt_pi_div_two_of_dist_eq {p₁ p₂ p₃ : P}
(h : dist p₁ p₂ = dist p₁ p₃) : |(∡ p₂ p₃ p₁).toReal| < π / 2 :=
oangle_eq_oangle_of_dist_eq h ▸ abs_oangle_right_toReal_lt_pi_div_two_of_dist_eq h
#align euclidean_geometry.abs_oangle_left_to_real_lt_pi_div_two_of_dist_eq EuclideanGeometry.abs_oangle_left_toReal_lt_pi_div_two_of_dist_eq
theorem cos_oangle_eq_cos_angle {p p₁ p₂ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) :
Real.Angle.cos (∡ p₁ p p₂) = Real.cos (∠ p₁ p p₂) :=
o.cos_oangle_eq_cos_angle (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂)
#align euclidean_geometry.cos_oangle_eq_cos_angle EuclideanGeometry.cos_oangle_eq_cos_angle
theorem oangle_eq_angle_or_eq_neg_angle {p p₁ p₂ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) :
∡ p₁ p p₂ = ∠ p₁ p p₂ ∨ ∡ p₁ p p₂ = -∠ p₁ p p₂ :=
o.oangle_eq_angle_or_eq_neg_angle (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂)
#align euclidean_geometry.oangle_eq_angle_or_eq_neg_angle EuclideanGeometry.oangle_eq_angle_or_eq_neg_angle
theorem angle_eq_abs_oangle_toReal {p p₁ p₂ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) :
∠ p₁ p p₂ = |(∡ p₁ p p₂).toReal| :=
o.angle_eq_abs_oangle_toReal (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂)
#align euclidean_geometry.angle_eq_abs_oangle_to_real EuclideanGeometry.angle_eq_abs_oangle_toReal
theorem eq_zero_or_angle_eq_zero_or_pi_of_sign_oangle_eq_zero {p p₁ p₂ : P}
(h : (∡ p₁ p p₂).sign = 0) : p₁ = p ∨ p₂ = p ∨ ∠ p₁ p p₂ = 0 ∨ ∠ p₁ p p₂ = π := by
convert o.eq_zero_or_angle_eq_zero_or_pi_of_sign_oangle_eq_zero h <;> simp
#align euclidean_geometry.eq_zero_or_angle_eq_zero_or_pi_of_sign_oangle_eq_zero EuclideanGeometry.eq_zero_or_angle_eq_zero_or_pi_of_sign_oangle_eq_zero
theorem oangle_eq_of_angle_eq_of_sign_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P} (h : ∠ p₁ p₂ p₃ = ∠ p₄ p₅ p₆)
(hs : (∡ p₁ p₂ p₃).sign = (∡ p₄ p₅ p₆).sign) : ∡ p₁ p₂ p₃ = ∡ p₄ p₅ p₆ :=
o.oangle_eq_of_angle_eq_of_sign_eq h hs
#align euclidean_geometry.oangle_eq_of_angle_eq_of_sign_eq EuclideanGeometry.oangle_eq_of_angle_eq_of_sign_eq
theorem angle_eq_iff_oangle_eq_of_sign_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P} (hp₁ : p₁ ≠ p₂) (hp₃ : p₃ ≠ p₂)
(hp₄ : p₄ ≠ p₅) (hp₆ : p₆ ≠ p₅) (hs : (∡ p₁ p₂ p₃).sign = (∡ p₄ p₅ p₆).sign) :
∠ p₁ p₂ p₃ = ∠ p₄ p₅ p₆ ↔ ∡ p₁ p₂ p₃ = ∡ p₄ p₅ p₆ :=
o.angle_eq_iff_oangle_eq_of_sign_eq (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₃) (vsub_ne_zero.2 hp₄)
(vsub_ne_zero.2 hp₆) hs
#align euclidean_geometry.angle_eq_iff_oangle_eq_of_sign_eq EuclideanGeometry.angle_eq_iff_oangle_eq_of_sign_eq
theorem oangle_eq_angle_of_sign_eq_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = 1) :
∡ p₁ p₂ p₃ = ∠ p₁ p₂ p₃ :=
o.oangle_eq_angle_of_sign_eq_one h
#align euclidean_geometry.oangle_eq_angle_of_sign_eq_one EuclideanGeometry.oangle_eq_angle_of_sign_eq_one
theorem oangle_eq_neg_angle_of_sign_eq_neg_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = -1) :
∡ p₁ p₂ p₃ = -∠ p₁ p₂ p₃ :=
o.oangle_eq_neg_angle_of_sign_eq_neg_one h
#align euclidean_geometry.oangle_eq_neg_angle_of_sign_eq_neg_one EuclideanGeometry.oangle_eq_neg_angle_of_sign_eq_neg_one
theorem oangle_eq_zero_iff_angle_eq_zero {p p₁ p₂ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) :
∡ p₁ p p₂ = 0 ↔ ∠ p₁ p p₂ = 0 :=
o.oangle_eq_zero_iff_angle_eq_zero (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂)
#align euclidean_geometry.oangle_eq_zero_iff_angle_eq_zero EuclideanGeometry.oangle_eq_zero_iff_angle_eq_zero
theorem oangle_eq_pi_iff_angle_eq_pi {p₁ p₂ p₃ : P} : ∡ p₁ p₂ p₃ = π ↔ ∠ p₁ p₂ p₃ = π :=
o.oangle_eq_pi_iff_angle_eq_pi
#align euclidean_geometry.oangle_eq_pi_iff_angle_eq_pi EuclideanGeometry.oangle_eq_pi_iff_angle_eq_pi
theorem angle_eq_pi_div_two_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
∠ p₁ p₂ p₃ = π / 2 := by
rw [angle, ← InnerProductGeometry.inner_eq_zero_iff_angle_eq_pi_div_two]
exact o.inner_eq_zero_of_oangle_eq_pi_div_two h
#align euclidean_geometry.angle_eq_pi_div_two_of_oangle_eq_pi_div_two EuclideanGeometry.angle_eq_pi_div_two_of_oangle_eq_pi_div_two
theorem angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
∠ p₃ p₂ p₁ = π / 2 := by
rw [angle_comm]
exact angle_eq_pi_div_two_of_oangle_eq_pi_div_two h
#align euclidean_geometry.angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two EuclideanGeometry.angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two
theorem angle_eq_pi_div_two_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(-π / 2)) : ∠ p₁ p₂ p₃ = π / 2 := by
rw [angle, ← InnerProductGeometry.inner_eq_zero_iff_angle_eq_pi_div_two]
exact o.inner_eq_zero_of_oangle_eq_neg_pi_div_two h
#align euclidean_geometry.angle_eq_pi_div_two_of_oangle_eq_neg_pi_div_two EuclideanGeometry.angle_eq_pi_div_two_of_oangle_eq_neg_pi_div_two
theorem angle_rev_eq_pi_div_two_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(-π / 2)) : ∠ p₃ p₂ p₁ = π / 2 := by
rw [angle_comm]
exact angle_eq_pi_div_two_of_oangle_eq_neg_pi_div_two h
#align euclidean_geometry.angle_rev_eq_pi_div_two_of_oangle_eq_neg_pi_div_two EuclideanGeometry.angle_rev_eq_pi_div_two_of_oangle_eq_neg_pi_div_two
theorem oangle_swap₁₂_sign (p₁ p₂ p₃ : P) : -(∡ p₁ p₂ p₃).sign = (∡ p₂ p₁ p₃).sign := by
rw [eq_comm, oangle, oangle, ← o.oangle_neg_neg, neg_vsub_eq_vsub_rev, neg_vsub_eq_vsub_rev, ←
vsub_sub_vsub_cancel_left p₁ p₃ p₂, ← neg_vsub_eq_vsub_rev p₃ p₂, sub_eq_add_neg,
neg_vsub_eq_vsub_rev p₂ p₁, add_comm, ← @neg_one_smul ℝ]
nth_rw 2 [← one_smul ℝ (p₁ -ᵥ p₂)]
rw [o.oangle_sign_smul_add_smul_right]
simp
#align euclidean_geometry.oangle_swap₁₂_sign EuclideanGeometry.oangle_swap₁₂_sign
theorem oangle_swap₁₃_sign (p₁ p₂ p₃ : P) : -(∡ p₁ p₂ p₃).sign = (∡ p₃ p₂ p₁).sign := by
rw [oangle_rev, Real.Angle.sign_neg, neg_neg]
#align euclidean_geometry.oangle_swap₁₃_sign EuclideanGeometry.oangle_swap₁₃_sign
theorem oangle_swap₂₃_sign (p₁ p₂ p₃ : P) : -(∡ p₁ p₂ p₃).sign = (∡ p₁ p₃ p₂).sign := by
rw [oangle_swap₁₃_sign, ← oangle_swap₁₂_sign, oangle_swap₁₃_sign]
#align euclidean_geometry.oangle_swap₂₃_sign EuclideanGeometry.oangle_swap₂₃_sign
theorem oangle_rotate_sign (p₁ p₂ p₃ : P) : (∡ p₂ p₃ p₁).sign = (∡ p₁ p₂ p₃).sign := by
rw [← oangle_swap₁₂_sign, oangle_swap₁₃_sign]
#align euclidean_geometry.oangle_rotate_sign EuclideanGeometry.oangle_rotate_sign
theorem oangle_eq_pi_iff_sbtw {p₁ p₂ p₃ : P} : ∡ p₁ p₂ p₃ = π ↔ Sbtw ℝ p₁ p₂ p₃ := by
rw [oangle_eq_pi_iff_angle_eq_pi, angle_eq_pi_iff_sbtw]
#align euclidean_geometry.oangle_eq_pi_iff_sbtw EuclideanGeometry.oangle_eq_pi_iff_sbtw
theorem _root_.Sbtw.oangle₁₂₃_eq_pi {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₁ p₂ p₃ = π :=
oangle_eq_pi_iff_sbtw.2 h
#align sbtw.oangle₁₂₃_eq_pi Sbtw.oangle₁₂₃_eq_pi
theorem _root_.Sbtw.oangle₃₂₁_eq_pi {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₃ p₂ p₁ = π := by
rw [oangle_eq_pi_iff_oangle_rev_eq_pi, ← h.oangle₁₂₃_eq_pi]
#align sbtw.oangle₃₂₁_eq_pi Sbtw.oangle₃₂₁_eq_pi
theorem _root_.Wbtw.oangle₂₁₃_eq_zero {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : ∡ p₂ p₁ p₃ = 0 := by
by_cases hp₂p₁ : p₂ = p₁; · simp [hp₂p₁]
by_cases hp₃p₁ : p₃ = p₁; · simp [hp₃p₁]
rw [oangle_eq_zero_iff_angle_eq_zero hp₂p₁ hp₃p₁]
exact h.angle₂₁₃_eq_zero_of_ne hp₂p₁
#align wbtw.oangle₂₁₃_eq_zero Wbtw.oangle₂₁₃_eq_zero
theorem _root_.Sbtw.oangle₂₁₃_eq_zero {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₂ p₁ p₃ = 0 :=
h.wbtw.oangle₂₁₃_eq_zero
#align sbtw.oangle₂₁₃_eq_zero Sbtw.oangle₂₁₃_eq_zero
theorem _root_.Wbtw.oangle₃₁₂_eq_zero {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : ∡ p₃ p₁ p₂ = 0 := by
rw [oangle_eq_zero_iff_oangle_rev_eq_zero, h.oangle₂₁₃_eq_zero]
#align wbtw.oangle₃₁₂_eq_zero Wbtw.oangle₃₁₂_eq_zero
theorem _root_.Sbtw.oangle₃₁₂_eq_zero {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₃ p₁ p₂ = 0 :=
h.wbtw.oangle₃₁₂_eq_zero
#align sbtw.oangle₃₁₂_eq_zero Sbtw.oangle₃₁₂_eq_zero
theorem _root_.Wbtw.oangle₂₃₁_eq_zero {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : ∡ p₂ p₃ p₁ = 0 :=
h.symm.oangle₂₁₃_eq_zero
#align wbtw.oangle₂₃₁_eq_zero Wbtw.oangle₂₃₁_eq_zero
theorem _root_.Sbtw.oangle₂₃₁_eq_zero {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₂ p₃ p₁ = 0 :=
h.wbtw.oangle₂₃₁_eq_zero
#align sbtw.oangle₂₃₁_eq_zero Sbtw.oangle₂₃₁_eq_zero
theorem _root_.Wbtw.oangle₁₃₂_eq_zero {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : ∡ p₁ p₃ p₂ = 0 :=
h.symm.oangle₃₁₂_eq_zero
#align wbtw.oangle₁₃₂_eq_zero Wbtw.oangle₁₃₂_eq_zero
theorem _root_.Sbtw.oangle₁₃₂_eq_zero {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₁ p₃ p₂ = 0 :=
h.wbtw.oangle₁₃₂_eq_zero
#align sbtw.oangle₁₃₂_eq_zero Sbtw.oangle₁₃₂_eq_zero
theorem oangle_eq_zero_iff_wbtw {p₁ p₂ p₃ : P} :
∡ p₁ p₂ p₃ = 0 ↔ Wbtw ℝ p₂ p₁ p₃ ∨ Wbtw ℝ p₂ p₃ p₁ := by
by_cases hp₁p₂ : p₁ = p₂; · simp [hp₁p₂]
by_cases hp₃p₂ : p₃ = p₂; · simp [hp₃p₂]
rw [oangle_eq_zero_iff_angle_eq_zero hp₁p₂ hp₃p₂, angle_eq_zero_iff_ne_and_wbtw]
simp [hp₁p₂, hp₃p₂]
#align euclidean_geometry.oangle_eq_zero_iff_wbtw EuclideanGeometry.oangle_eq_zero_iff_wbtw
theorem _root_.Wbtw.oangle_eq_left {p₁ p₁' p₂ p₃ : P} (h : Wbtw ℝ p₂ p₁ p₁') (hp₁p₂ : p₁ ≠ p₂) :
∡ p₁ p₂ p₃ = ∡ p₁' p₂ p₃ := by
by_cases hp₃p₂ : p₃ = p₂; · simp [hp₃p₂]
by_cases hp₁'p₂ : p₁' = p₂; · rw [hp₁'p₂, wbtw_self_iff] at h; exact False.elim (hp₁p₂ h)
rw [← oangle_add hp₁'p₂ hp₁p₂ hp₃p₂, h.oangle₃₁₂_eq_zero, zero_add]
#align wbtw.oangle_eq_left Wbtw.oangle_eq_left
theorem _root_.Sbtw.oangle_eq_left {p₁ p₁' p₂ p₃ : P} (h : Sbtw ℝ p₂ p₁ p₁') :
∡ p₁ p₂ p₃ = ∡ p₁' p₂ p₃ :=
h.wbtw.oangle_eq_left h.ne_left
#align sbtw.oangle_eq_left Sbtw.oangle_eq_left
theorem _root_.Wbtw.oangle_eq_right {p₁ p₂ p₃ p₃' : P} (h : Wbtw ℝ p₂ p₃ p₃') (hp₃p₂ : p₃ ≠ p₂) :
∡ p₁ p₂ p₃ = ∡ p₁ p₂ p₃' := by rw [oangle_rev, h.oangle_eq_left hp₃p₂, ← oangle_rev]
#align wbtw.oangle_eq_right Wbtw.oangle_eq_right
theorem _root_.Sbtw.oangle_eq_right {p₁ p₂ p₃ p₃' : P} (h : Sbtw ℝ p₂ p₃ p₃') :
∡ p₁ p₂ p₃ = ∡ p₁ p₂ p₃' :=
h.wbtw.oangle_eq_right h.ne_left
#align sbtw.oangle_eq_right Sbtw.oangle_eq_right
@[simp]
theorem oangle_midpoint_left (p₁ p₂ p₃ : P) : ∡ (midpoint ℝ p₁ p₂) p₂ p₃ = ∡ p₁ p₂ p₃ := by
by_cases h : p₁ = p₂; · simp [h]
exact (sbtw_midpoint_of_ne ℝ h).symm.oangle_eq_left
#align euclidean_geometry.oangle_midpoint_left EuclideanGeometry.oangle_midpoint_left
@[simp]
theorem oangle_midpoint_rev_left (p₁ p₂ p₃ : P) : ∡ (midpoint ℝ p₂ p₁) p₂ p₃ = ∡ p₁ p₂ p₃ := by
rw [midpoint_comm, oangle_midpoint_left]
#align euclidean_geometry.oangle_midpoint_rev_left EuclideanGeometry.oangle_midpoint_rev_left
@[simp]
| Mathlib/Geometry/Euclidean/Angle/Oriented/Affine.lean | 600 | 602 | theorem oangle_midpoint_right (p₁ p₂ p₃ : P) : ∡ p₁ p₂ (midpoint ℝ p₃ p₂) = ∡ p₁ p₂ p₃ := by |
by_cases h : p₃ = p₂; · simp [h]
exact (sbtw_midpoint_of_ne ℝ h).symm.oangle_eq_right
|
import Mathlib.Data.DFinsupp.Basic
import Mathlib.Data.Finset.Pointwise
import Mathlib.LinearAlgebra.Basis.VectorSpace
#align_import algebra.group.unique_prods from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
@[to_additive
"Let `G` be a Type with addition, let `A B : Finset G` be finite subsets and
let `a0 b0 : G` be two elements. `UniqueAdd A B a0 b0` asserts `a0 + b0` can be written in at
most one way as a sum of an element from `A` and an element from `B`."]
def UniqueMul {G} [Mul G] (A B : Finset G) (a0 b0 : G) : Prop :=
∀ ⦃a b⦄, a ∈ A → b ∈ B → a * b = a0 * b0 → a = a0 ∧ b = b0
#align unique_mul UniqueMul
#align unique_add UniqueAdd
namespace UniqueMul
variable {G H : Type*} [Mul G] [Mul H] {A B : Finset G} {a0 b0 : G}
@[to_additive (attr := nontriviality, simp)]
theorem of_subsingleton [Subsingleton G] : UniqueMul A B a0 b0 := by
simp [UniqueMul, eq_iff_true_of_subsingleton]
@[to_additive]
theorem of_card_le_one (hA : A.Nonempty) (hB : B.Nonempty) (hA1 : A.card ≤ 1) (hB1 : B.card ≤ 1) :
∃ a ∈ A, ∃ b ∈ B, UniqueMul A B a b := by
rw [Finset.card_le_one_iff] at hA1 hB1
obtain ⟨a, ha⟩ := hA; obtain ⟨b, hb⟩ := hB
exact ⟨a, ha, b, hb, fun _ _ ha' hb' _ ↦ ⟨hA1 ha' ha, hB1 hb' hb⟩⟩
@[to_additive]
theorem mt (h : UniqueMul A B a0 b0) :
∀ ⦃a b⦄, a ∈ A → b ∈ B → a ≠ a0 ∨ b ≠ b0 → a * b ≠ a0 * b0 := fun _ _ ha hb k ↦ by
contrapose! k
exact h ha hb k
#align unique_mul.mt UniqueMul.mt
@[to_additive]
theorem subsingleton (h : UniqueMul A B a0 b0) :
Subsingleton { ab : G × G // ab.1 ∈ A ∧ ab.2 ∈ B ∧ ab.1 * ab.2 = a0 * b0 } :=
⟨fun ⟨⟨_a, _b⟩, ha, hb, ab⟩ ⟨⟨_a', _b'⟩, ha', hb', ab'⟩ ↦
Subtype.ext <|
Prod.ext ((h ha hb ab).1.trans (h ha' hb' ab').1.symm) <|
(h ha hb ab).2.trans (h ha' hb' ab').2.symm⟩
#align unique_mul.subsingleton UniqueMul.subsingleton
#align unique_add.subsingleton UniqueAdd.subsingleton
@[to_additive]
theorem set_subsingleton (h : UniqueMul A B a0 b0) :
Set.Subsingleton { ab : G × G | ab.1 ∈ A ∧ ab.2 ∈ B ∧ ab.1 * ab.2 = a0 * b0 } := by
rintro ⟨x1, y1⟩ (hx : x1 ∈ A ∧ y1 ∈ B ∧ x1 * y1 = a0 * b0) ⟨x2, y2⟩
(hy : x2 ∈ A ∧ y2 ∈ B ∧ x2 * y2 = a0 * b0)
rcases h hx.1 hx.2.1 hx.2.2 with ⟨rfl, rfl⟩
rcases h hy.1 hy.2.1 hy.2.2 with ⟨rfl, rfl⟩
rfl
#align unique_mul.set_subsingleton UniqueMul.set_subsingleton
#align unique_add.set_subsingleton UniqueAdd.set_subsingleton
-- Porting note: mathport warning: expanding binder collection
-- (ab «expr ∈ » [finset.product/multiset.product/set.prod/list.product](A, B)) -/
@[to_additive]
theorem iff_existsUnique (aA : a0 ∈ A) (bB : b0 ∈ B) :
UniqueMul A B a0 b0 ↔ ∃! ab, ab ∈ A ×ˢ B ∧ ab.1 * ab.2 = a0 * b0 :=
⟨fun _ ↦ ⟨(a0, b0), ⟨Finset.mk_mem_product aA bB, rfl⟩, by simpa⟩,
fun h ↦ h.elim
(by
rintro ⟨x1, x2⟩ _ J x y hx hy l
rcases Prod.mk.inj_iff.mp (J (a0, b0) ⟨Finset.mk_mem_product aA bB, rfl⟩) with ⟨rfl, rfl⟩
exact Prod.mk.inj_iff.mp (J (x, y) ⟨Finset.mk_mem_product hx hy, l⟩))⟩
#align unique_mul.iff_exists_unique UniqueMul.iff_existsUniqueₓ
#align unique_add.iff_exists_unique UniqueAdd.iff_existsUniqueₓ
open Finset in
@[to_additive]
theorem iff_card_le_one [DecidableEq G] (ha0 : a0 ∈ A) (hb0 : b0 ∈ B) :
UniqueMul A B a0 b0 ↔ ((A ×ˢ B).filter (fun p ↦ p.1 * p.2 = a0 * b0)).card ≤ 1 := by
simp_rw [card_le_one_iff, mem_filter, mem_product]
refine ⟨fun h p1 p2 ⟨⟨ha1, hb1⟩, he1⟩ ⟨⟨ha2, hb2⟩, he2⟩ ↦ ?_, fun h a b ha hb he ↦ ?_⟩
· have h1 := h ha1 hb1 he1; have h2 := h ha2 hb2 he2
ext
· rw [h1.1, h2.1]
· rw [h1.2, h2.2]
· exact Prod.ext_iff.1 (@h (a, b) (a0, b0) ⟨⟨ha, hb⟩, he⟩ ⟨⟨ha0, hb0⟩, rfl⟩)
-- Porting note: mathport warning: expanding binder collection
-- (ab «expr ∈ » [finset.product/multiset.product/set.prod/list.product](A, B)) -/
@[to_additive]
theorem exists_iff_exists_existsUnique :
(∃ a0 b0 : G, a0 ∈ A ∧ b0 ∈ B ∧ UniqueMul A B a0 b0) ↔
∃ g : G, ∃! ab, ab ∈ A ×ˢ B ∧ ab.1 * ab.2 = g :=
⟨fun ⟨a0, b0, hA, hB, h⟩ ↦ ⟨_, (iff_existsUnique hA hB).mp h⟩, fun ⟨g, h⟩ ↦ by
have h' := h
rcases h' with ⟨⟨a, b⟩, ⟨hab, rfl, -⟩, -⟩
cases' Finset.mem_product.mp hab with ha hb
exact ⟨a, b, ha, hb, (iff_existsUnique ha hb).mpr h⟩⟩
#align unique_mul.exists_iff_exists_exists_unique UniqueMul.exists_iff_exists_existsUniqueₓ
#align unique_add.exists_iff_exists_exists_unique UniqueAdd.exists_iff_exists_existsUniqueₓ
@[to_additive "`UniqueAdd` is preserved by inverse images under injective, additive maps."]
| Mathlib/Algebra/Group/UniqueProds.lean | 147 | 152 | theorem mulHom_preimage (f : G →ₙ* H) (hf : Function.Injective f) (a0 b0 : G) {A B : Finset H}
(u : UniqueMul A B (f a0) (f b0)) :
UniqueMul (A.preimage f hf.injOn) (B.preimage f hf.injOn) a0 b0 := by |
intro a b ha hb ab
simp only [← hf.eq_iff, map_mul] at ab ⊢
exact u (Finset.mem_preimage.mp ha) (Finset.mem_preimage.mp hb) ab
|
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
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
#align measure_theory.integrable.of_measure_le_smul MeasureTheory.Integrable.of_measure_le_smul
theorem Integrable.add_measure {f : α → β} (hμ : Integrable f μ) (hν : Integrable f ν) :
Integrable f (μ + ν) := by
simp_rw [← memℒp_one_iff_integrable] at hμ hν ⊢
refine ⟨hμ.aestronglyMeasurable.add_measure hν.aestronglyMeasurable, ?_⟩
rw [snorm_one_add_measure, ENNReal.add_lt_top]
exact ⟨hμ.snorm_lt_top, hν.snorm_lt_top⟩
#align measure_theory.integrable.add_measure MeasureTheory.Integrable.add_measure
theorem Integrable.left_of_add_measure {f : α → β} (h : Integrable f (μ + ν)) : Integrable f μ := by
rw [← memℒp_one_iff_integrable] at h ⊢
exact h.left_of_add_measure
#align measure_theory.integrable.left_of_add_measure MeasureTheory.Integrable.left_of_add_measure
theorem Integrable.right_of_add_measure {f : α → β} (h : Integrable f (μ + ν)) :
Integrable f ν := by
rw [← memℒp_one_iff_integrable] at h ⊢
exact h.right_of_add_measure
#align measure_theory.integrable.right_of_add_measure MeasureTheory.Integrable.right_of_add_measure
@[simp]
theorem integrable_add_measure {f : α → β} :
Integrable f (μ + ν) ↔ Integrable f μ ∧ Integrable 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.integrable_add_measure MeasureTheory.integrable_add_measure
@[simp]
theorem integrable_zero_measure {_ : MeasurableSpace α} {f : α → β} :
Integrable f (0 : Measure α) :=
⟨aestronglyMeasurable_zero_measure f, hasFiniteIntegral_zero_measure f⟩
#align measure_theory.integrable_zero_measure MeasureTheory.integrable_zero_measure
theorem integrable_finset_sum_measure {ι} {m : MeasurableSpace α} {f : α → β} {μ : ι → Measure α}
{s : Finset ι} : Integrable f (∑ i ∈ s, μ i) ↔ ∀ i ∈ s, Integrable f (μ i) := by
induction s using Finset.induction_on <;> simp [*]
#align measure_theory.integrable_finset_sum_measure MeasureTheory.integrable_finset_sum_measure
theorem Integrable.smul_measure {f : α → β} (h : Integrable f μ) {c : ℝ≥0∞} (hc : c ≠ ∞) :
Integrable f (c • μ) := by
rw [← memℒp_one_iff_integrable] at h ⊢
exact h.smul_measure hc
#align measure_theory.integrable.smul_measure MeasureTheory.Integrable.smul_measure
theorem Integrable.smul_measure_nnreal {f : α → β} (h : Integrable f μ) {c : ℝ≥0} :
Integrable f (c • μ) := by
apply h.smul_measure
simp
theorem integrable_smul_measure {f : α → β} {c : ℝ≥0∞} (h₁ : c ≠ 0) (h₂ : c ≠ ∞) :
Integrable f (c • μ) ↔ Integrable f μ :=
⟨fun h => by
simpa only [smul_smul, ENNReal.inv_mul_cancel h₁ h₂, one_smul] using
h.smul_measure (ENNReal.inv_ne_top.2 h₁),
fun h => h.smul_measure h₂⟩
#align measure_theory.integrable_smul_measure MeasureTheory.integrable_smul_measure
theorem integrable_inv_smul_measure {f : α → β} {c : ℝ≥0∞} (h₁ : c ≠ 0) (h₂ : c ≠ ∞) :
Integrable f (c⁻¹ • μ) ↔ Integrable f μ :=
integrable_smul_measure (by simpa using h₂) (by simpa using h₁)
#align measure_theory.integrable_inv_smul_measure MeasureTheory.integrable_inv_smul_measure
theorem Integrable.to_average {f : α → β} (h : Integrable f μ) : Integrable f ((μ univ)⁻¹ • μ) := by
rcases eq_or_ne μ 0 with (rfl | hne)
· rwa [smul_zero]
· apply h.smul_measure
simpa
#align measure_theory.integrable.to_average MeasureTheory.Integrable.to_average
theorem integrable_average [IsFiniteMeasure μ] {f : α → β} :
Integrable f ((μ univ)⁻¹ • μ) ↔ Integrable f μ :=
(eq_or_ne μ 0).by_cases (fun h => by simp [h]) fun h =>
integrable_smul_measure (ENNReal.inv_ne_zero.2 <| measure_ne_top _ _)
(ENNReal.inv_ne_top.2 <| mt Measure.measure_univ_eq_zero.1 h)
#align measure_theory.integrable_average MeasureTheory.integrable_average
theorem integrable_map_measure {f : α → δ} {g : δ → β}
(hg : AEStronglyMeasurable g (Measure.map f μ)) (hf : AEMeasurable f μ) :
Integrable g (Measure.map f μ) ↔ Integrable (g ∘ f) μ := by
simp_rw [← memℒp_one_iff_integrable]
exact memℒp_map_measure_iff hg hf
#align measure_theory.integrable_map_measure MeasureTheory.integrable_map_measure
theorem Integrable.comp_aemeasurable {f : α → δ} {g : δ → β} (hg : Integrable g (Measure.map f μ))
(hf : AEMeasurable f μ) : Integrable (g ∘ f) μ :=
(integrable_map_measure hg.aestronglyMeasurable hf).mp hg
#align measure_theory.integrable.comp_ae_measurable MeasureTheory.Integrable.comp_aemeasurable
theorem Integrable.comp_measurable {f : α → δ} {g : δ → β} (hg : Integrable g (Measure.map f μ))
(hf : Measurable f) : Integrable (g ∘ f) μ :=
hg.comp_aemeasurable hf.aemeasurable
#align measure_theory.integrable.comp_measurable MeasureTheory.Integrable.comp_measurable
theorem _root_.MeasurableEmbedding.integrable_map_iff {f : α → δ} (hf : MeasurableEmbedding f)
{g : δ → β} : Integrable g (Measure.map f μ) ↔ Integrable (g ∘ f) μ := by
simp_rw [← memℒp_one_iff_integrable]
exact hf.memℒp_map_measure_iff
#align measurable_embedding.integrable_map_iff MeasurableEmbedding.integrable_map_iff
theorem integrable_map_equiv (f : α ≃ᵐ δ) (g : δ → β) :
Integrable g (Measure.map f μ) ↔ Integrable (g ∘ f) μ := by
simp_rw [← memℒp_one_iff_integrable]
exact f.memℒp_map_measure_iff
#align measure_theory.integrable_map_equiv MeasureTheory.integrable_map_equiv
theorem MeasurePreserving.integrable_comp {ν : Measure δ} {g : δ → β} {f : α → δ}
(hf : MeasurePreserving f μ ν) (hg : AEStronglyMeasurable g ν) :
Integrable (g ∘ f) μ ↔ Integrable g ν := by
rw [← hf.map_eq] at hg ⊢
exact (integrable_map_measure hg hf.measurable.aemeasurable).symm
#align measure_theory.measure_preserving.integrable_comp MeasureTheory.MeasurePreserving.integrable_comp
theorem MeasurePreserving.integrable_comp_emb {f : α → δ} {ν} (h₁ : MeasurePreserving f μ ν)
(h₂ : MeasurableEmbedding f) {g : δ → β} : Integrable (g ∘ f) μ ↔ Integrable g ν :=
h₁.map_eq ▸ Iff.symm h₂.integrable_map_iff
#align measure_theory.measure_preserving.integrable_comp_emb MeasureTheory.MeasurePreserving.integrable_comp_emb
theorem lintegral_edist_lt_top {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
(∫⁻ a, edist (f a) (g a) ∂μ) < ∞ :=
lt_of_le_of_lt (lintegral_edist_triangle hf.aestronglyMeasurable aestronglyMeasurable_zero)
(ENNReal.add_lt_top.2 <| by
simp_rw [Pi.zero_apply, ← hasFiniteIntegral_iff_edist]
exact ⟨hf.hasFiniteIntegral, hg.hasFiniteIntegral⟩)
#align measure_theory.lintegral_edist_lt_top MeasureTheory.lintegral_edist_lt_top
variable (α β μ)
@[simp]
theorem integrable_zero : Integrable (fun _ => (0 : β)) μ := by
simp [Integrable, aestronglyMeasurable_const]
#align measure_theory.integrable_zero MeasureTheory.integrable_zero
variable {α β μ}
theorem Integrable.add' {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
HasFiniteIntegral (f + g) μ :=
calc
(∫⁻ a, ‖f a + g a‖₊ ∂μ) ≤ ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ :=
lintegral_mono fun a => by
-- After leanprover/lean4#2734, we need to do beta reduction before `exact mod_cast`
beta_reduce
exact mod_cast nnnorm_add_le _ _
_ = _ := lintegral_nnnorm_add_left hf.aestronglyMeasurable _
_ < ∞ := add_lt_top.2 ⟨hf.hasFiniteIntegral, hg.hasFiniteIntegral⟩
#align measure_theory.integrable.add' MeasureTheory.Integrable.add'
theorem Integrable.add {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
Integrable (f + g) μ :=
⟨hf.aestronglyMeasurable.add hg.aestronglyMeasurable, hf.add' hg⟩
#align measure_theory.integrable.add MeasureTheory.Integrable.add
theorem integrable_finset_sum' {ι} (s : Finset ι) {f : ι → α → β}
(hf : ∀ i ∈ s, Integrable (f i) μ) : Integrable (∑ i ∈ s, f i) μ :=
Finset.sum_induction f (fun g => Integrable g μ) (fun _ _ => Integrable.add)
(integrable_zero _ _ _) hf
#align measure_theory.integrable_finset_sum' MeasureTheory.integrable_finset_sum'
theorem integrable_finset_sum {ι} (s : Finset ι) {f : ι → α → β}
(hf : ∀ i ∈ s, Integrable (f i) μ) : Integrable (fun a => ∑ i ∈ s, f i a) μ := by
simpa only [← Finset.sum_apply] using integrable_finset_sum' s hf
#align measure_theory.integrable_finset_sum MeasureTheory.integrable_finset_sum
theorem Integrable.neg {f : α → β} (hf : Integrable f μ) : Integrable (-f) μ :=
⟨hf.aestronglyMeasurable.neg, hf.hasFiniteIntegral.neg⟩
#align measure_theory.integrable.neg MeasureTheory.Integrable.neg
@[simp]
theorem integrable_neg_iff {f : α → β} : Integrable (-f) μ ↔ Integrable f μ :=
⟨fun h => neg_neg f ▸ h.neg, Integrable.neg⟩
#align measure_theory.integrable_neg_iff MeasureTheory.integrable_neg_iff
@[simp]
lemma integrable_add_iff_integrable_right {f g : α → β} (hf : Integrable f μ) :
Integrable (f + g) μ ↔ Integrable g μ :=
⟨fun h ↦ show g = f + g + (-f) by simp only [add_neg_cancel_comm] ▸ h.add hf.neg,
fun h ↦ hf.add h⟩
@[simp]
lemma integrable_add_iff_integrable_left {f g : α → β} (hf : Integrable f μ) :
Integrable (g + f) μ ↔ Integrable g μ := by
rw [add_comm, integrable_add_iff_integrable_right hf]
lemma integrable_left_of_integrable_add_of_nonneg {f g : α → ℝ}
(h_meas : AEStronglyMeasurable f μ) (hf : 0 ≤ᵐ[μ] f) (hg : 0 ≤ᵐ[μ] g)
(h_int : Integrable (f + g) μ) : Integrable f μ := by
refine h_int.mono' h_meas ?_
filter_upwards [hf, hg] with a haf hag
exact (Real.norm_of_nonneg haf).symm ▸ (le_add_iff_nonneg_right _).mpr hag
lemma integrable_right_of_integrable_add_of_nonneg {f g : α → ℝ}
(h_meas : AEStronglyMeasurable f μ) (hf : 0 ≤ᵐ[μ] f) (hg : 0 ≤ᵐ[μ] g)
(h_int : Integrable (f + g) μ) : Integrable g μ :=
integrable_left_of_integrable_add_of_nonneg
((AEStronglyMeasurable.add_iff_right h_meas).mp h_int.aestronglyMeasurable)
hg hf (add_comm f g ▸ h_int)
lemma integrable_add_iff_of_nonneg {f g : α → ℝ} (h_meas : AEStronglyMeasurable f μ)
(hf : 0 ≤ᵐ[μ] f) (hg : 0 ≤ᵐ[μ] g) :
Integrable (f + g) μ ↔ Integrable f μ ∧ Integrable g μ :=
⟨fun h ↦ ⟨integrable_left_of_integrable_add_of_nonneg h_meas hf hg h,
integrable_right_of_integrable_add_of_nonneg h_meas hf hg h⟩, fun ⟨hf, hg⟩ ↦ hf.add hg⟩
lemma integrable_add_iff_of_nonpos {f g : α → ℝ} (h_meas : AEStronglyMeasurable f μ)
(hf : f ≤ᵐ[μ] 0) (hg : g ≤ᵐ[μ] 0) :
Integrable (f + g) μ ↔ Integrable f μ ∧ Integrable g μ := by
rw [← integrable_neg_iff, ← integrable_neg_iff (f := f), ← integrable_neg_iff (f := g), neg_add]
exact integrable_add_iff_of_nonneg h_meas.neg (hf.mono (fun _ ↦ neg_nonneg_of_nonpos))
(hg.mono (fun _ ↦ neg_nonneg_of_nonpos))
@[simp]
lemma integrable_add_const_iff [IsFiniteMeasure μ] {f : α → β} {c : β} :
Integrable (fun x ↦ f x + c) μ ↔ Integrable f μ :=
integrable_add_iff_integrable_left (integrable_const _)
@[simp]
lemma integrable_const_add_iff [IsFiniteMeasure μ] {f : α → β} {c : β} :
Integrable (fun x ↦ c + f x) μ ↔ Integrable f μ :=
integrable_add_iff_integrable_right (integrable_const _)
theorem Integrable.sub {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
Integrable (f - g) μ := by simpa only [sub_eq_add_neg] using hf.add hg.neg
#align measure_theory.integrable.sub MeasureTheory.Integrable.sub
theorem Integrable.norm {f : α → β} (hf : Integrable f μ) : Integrable (fun a => ‖f a‖) μ :=
⟨hf.aestronglyMeasurable.norm, hf.hasFiniteIntegral.norm⟩
#align measure_theory.integrable.norm MeasureTheory.Integrable.norm
theorem Integrable.inf {β} [NormedLatticeAddCommGroup β] {f g : α → β} (hf : Integrable f μ)
(hg : Integrable g μ) : Integrable (f ⊓ g) μ := by
rw [← memℒp_one_iff_integrable] at hf hg ⊢
exact hf.inf hg
#align measure_theory.integrable.inf MeasureTheory.Integrable.inf
theorem Integrable.sup {β} [NormedLatticeAddCommGroup β] {f g : α → β} (hf : Integrable f μ)
(hg : Integrable g μ) : Integrable (f ⊔ g) μ := by
rw [← memℒp_one_iff_integrable] at hf hg ⊢
exact hf.sup hg
#align measure_theory.integrable.sup MeasureTheory.Integrable.sup
| Mathlib/MeasureTheory/Function/L1Space.lean | 767 | 770 | theorem Integrable.abs {β} [NormedLatticeAddCommGroup β] {f : α → β} (hf : Integrable f μ) :
Integrable (fun a => |f a|) μ := by |
rw [← memℒp_one_iff_integrable] at hf ⊢
exact hf.abs
|
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
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
#align real.wallis.W_pos Real.Wallis.W_pos
theorem W_eq_factorial_ratio (n : ℕ) :
W n = 2 ^ (4 * n) * n ! ^ 4 / ((2 * n)! ^ 2 * (2 * n + 1)) := by
induction' n with n IH
· simp only [W, prod_range_zero, Nat.factorial_zero, mul_zero, pow_zero,
algebraMap.coe_one, one_pow, mul_one, algebraMap.coe_zero, zero_add, div_self, Ne,
one_ne_zero, not_false_iff]
norm_num
· unfold W at IH ⊢
rw [prod_range_succ, IH, _root_.div_mul_div_comm, _root_.div_mul_div_comm]
refine (div_eq_div_iff ?_ ?_).mpr ?_
any_goals exact ne_of_gt (by positivity)
simp_rw [Nat.mul_succ, Nat.factorial_succ, pow_succ]
push_cast
ring_nf
#align real.wallis.W_eq_factorial_ratio Real.Wallis.W_eq_factorial_ratio
| Mathlib/Data/Real/Pi/Wallis.lean | 78 | 82 | theorem W_eq_integral_sin_pow_div_integral_sin_pow (k : ℕ) : (π / 2)⁻¹ * W k =
(∫ x : ℝ in (0)..π, sin x ^ (2 * k + 1)) / ∫ x : ℝ in (0)..π, sin x ^ (2 * k) := by |
rw [integral_sin_pow_even, integral_sin_pow_odd, mul_div_mul_comm, ← prod_div_distrib, inv_div]
simp_rw [div_div_div_comm, div_div_eq_mul_div, mul_div_assoc]
rfl
|
import Mathlib.FieldTheory.Minpoly.Field
#align_import ring_theory.power_basis from "leanprover-community/mathlib"@"d1d69e99ed34c95266668af4e288fc1c598b9a7f"
open Polynomial
open Polynomial
variable {R S T : Type*} [CommRing R] [Ring S] [Algebra R S]
variable {A B : Type*} [CommRing A] [CommRing B] [IsDomain B] [Algebra A B]
variable {K : Type*} [Field K]
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure PowerBasis (R S : Type*) [CommRing R] [Ring S] [Algebra R S] where
gen : S
dim : ℕ
basis : Basis (Fin dim) R S
basis_eq_pow : ∀ (i), basis i = gen ^ (i : ℕ)
#align power_basis PowerBasis
-- this is usually not needed because of `basis_eq_pow` but can be needed in some cases;
-- in such circumstances, add it manually using `@[simps dim gen basis]`.
initialize_simps_projections PowerBasis (-basis)
namespace PowerBasis
@[simp]
theorem coe_basis (pb : PowerBasis R S) : ⇑pb.basis = fun i : Fin pb.dim => pb.gen ^ (i : ℕ) :=
funext pb.basis_eq_pow
#align power_basis.coe_basis PowerBasis.coe_basis
theorem finite (pb : PowerBasis R S) : Module.Finite R S := .of_basis pb.basis
#align power_basis.finite_dimensional PowerBasis.finite
@[deprecated] alias finiteDimensional := PowerBasis.finite
theorem finrank [StrongRankCondition R] (pb : PowerBasis R S) :
FiniteDimensional.finrank R S = pb.dim := by
rw [FiniteDimensional.finrank_eq_card_basis pb.basis, Fintype.card_fin]
#align power_basis.finrank PowerBasis.finrank
theorem mem_span_pow' {x y : S} {d : ℕ} :
y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔
∃ f : R[X], f.degree < d ∧ y = aeval x f := by
have : (Set.range fun i : Fin d => x ^ (i : ℕ)) = (fun i : ℕ => x ^ i) '' ↑(Finset.range d) := by
ext n
simp_rw [Set.mem_range, Set.mem_image, Finset.mem_coe, Finset.mem_range]
exact ⟨fun ⟨⟨i, hi⟩, hy⟩ => ⟨i, hi, hy⟩, fun ⟨i, hi, hy⟩ => ⟨⟨i, hi⟩, hy⟩⟩
simp only [this, Finsupp.mem_span_image_iff_total, degree_lt_iff_coeff_zero, support,
exists_iff_exists_finsupp, coeff, aeval_def, eval₂RingHom', eval₂_eq_sum, Polynomial.sum,
Finsupp.mem_supported', Finsupp.total, Finsupp.sum, Algebra.smul_def, eval₂_zero, exists_prop,
LinearMap.id_coe, eval₂_one, id, not_lt, Finsupp.coe_lsum, LinearMap.coe_smulRight,
Finset.mem_range, AlgHom.coe_mks, Finset.mem_coe]
simp_rw [@eq_comm _ y]
exact Iff.rfl
#align power_basis.mem_span_pow' PowerBasis.mem_span_pow'
theorem mem_span_pow {x y : S} {d : ℕ} (hd : d ≠ 0) :
y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔
∃ f : R[X], f.natDegree < d ∧ y = aeval x f := by
rw [mem_span_pow']
constructor <;>
· rintro ⟨f, h, hy⟩
refine ⟨f, ?_, hy⟩
by_cases hf : f = 0
· simp only [hf, natDegree_zero, degree_zero] at h ⊢
first | exact lt_of_le_of_ne (Nat.zero_le d) hd.symm | exact WithBot.bot_lt_coe d
simp_all only [degree_eq_natDegree hf]
· first | exact WithBot.coe_lt_coe.1 h | exact WithBot.coe_lt_coe.2 h
#align power_basis.mem_span_pow PowerBasis.mem_span_pow
theorem dim_ne_zero [Nontrivial S] (pb : PowerBasis R S) : pb.dim ≠ 0 := fun h =>
not_nonempty_iff.mpr (h.symm ▸ Fin.isEmpty : IsEmpty (Fin pb.dim)) pb.basis.index_nonempty
#align power_basis.dim_ne_zero PowerBasis.dim_ne_zero
theorem dim_pos [Nontrivial S] (pb : PowerBasis R S) : 0 < pb.dim :=
Nat.pos_of_ne_zero pb.dim_ne_zero
#align power_basis.dim_pos PowerBasis.dim_pos
theorem exists_eq_aeval [Nontrivial S] (pb : PowerBasis R S) (y : S) :
∃ f : R[X], f.natDegree < pb.dim ∧ y = aeval pb.gen f :=
(mem_span_pow pb.dim_ne_zero).mp (by simpa using pb.basis.mem_span y)
#align power_basis.exists_eq_aeval PowerBasis.exists_eq_aeval
theorem exists_eq_aeval' (pb : PowerBasis R S) (y : S) : ∃ f : R[X], y = aeval pb.gen f := by
nontriviality S
obtain ⟨f, _, hf⟩ := exists_eq_aeval pb y
exact ⟨f, hf⟩
#align power_basis.exists_eq_aeval' PowerBasis.exists_eq_aeval'
theorem algHom_ext {S' : Type*} [Semiring S'] [Algebra R S'] (pb : PowerBasis R S)
⦃f g : S →ₐ[R] S'⦄ (h : f pb.gen = g pb.gen) : f = g := by
ext x
obtain ⟨f, rfl⟩ := pb.exists_eq_aeval' x
rw [← Polynomial.aeval_algHom_apply, ← Polynomial.aeval_algHom_apply, h]
#align power_basis.alg_hom_ext PowerBasis.algHom_ext
section minpoly
variable [Algebra A S]
noncomputable def minpolyGen (pb : PowerBasis A S) : A[X] :=
X ^ pb.dim - ∑ i : Fin pb.dim, C (pb.basis.repr (pb.gen ^ pb.dim) i) * X ^ (i : ℕ)
#align power_basis.minpoly_gen PowerBasis.minpolyGen
theorem aeval_minpolyGen (pb : PowerBasis A S) : aeval pb.gen (minpolyGen pb) = 0 := by
simp_rw [minpolyGen, AlgHom.map_sub, AlgHom.map_sum, AlgHom.map_mul, AlgHom.map_pow, aeval_C, ←
Algebra.smul_def, aeval_X]
refine sub_eq_zero.mpr ((pb.basis.total_repr (pb.gen ^ pb.dim)).symm.trans ?_)
rw [Finsupp.total_apply, Finsupp.sum_fintype] <;>
simp only [pb.coe_basis, zero_smul, eq_self_iff_true, imp_true_iff]
#align power_basis.aeval_minpoly_gen PowerBasis.aeval_minpolyGen
theorem minpolyGen_monic (pb : PowerBasis A S) : Monic (minpolyGen pb) := by
nontriviality A
apply (monic_X_pow _).sub_of_left _
rw [degree_X_pow]
exact degree_sum_fin_lt _
#align power_basis.minpoly_gen_monic PowerBasis.minpolyGen_monic
theorem dim_le_natDegree_of_root (pb : PowerBasis A S) {p : A[X]} (ne_zero : p ≠ 0)
(root : aeval pb.gen p = 0) : pb.dim ≤ p.natDegree := by
refine le_of_not_lt fun hlt => ne_zero ?_
rw [p.as_sum_range' _ hlt, Finset.sum_range]
refine Fintype.sum_eq_zero _ fun i => ?_
simp_rw [aeval_eq_sum_range' hlt, Finset.sum_range, ← pb.basis_eq_pow] at root
have := Fintype.linearIndependent_iff.1 pb.basis.linearIndependent _ root
rw [this, monomial_zero_right]
#align power_basis.dim_le_nat_degree_of_root PowerBasis.dim_le_natDegree_of_root
theorem dim_le_degree_of_root (h : PowerBasis A S) {p : A[X]} (ne_zero : p ≠ 0)
(root : aeval h.gen p = 0) : ↑h.dim ≤ p.degree := by
rw [degree_eq_natDegree ne_zero]
exact WithBot.coe_le_coe.2 (h.dim_le_natDegree_of_root ne_zero root)
#align power_basis.dim_le_degree_of_root PowerBasis.dim_le_degree_of_root
theorem degree_minpolyGen [Nontrivial A] (pb : PowerBasis A S) :
degree (minpolyGen pb) = pb.dim := by
unfold minpolyGen
rw [degree_sub_eq_left_of_degree_lt] <;> rw [degree_X_pow]
apply degree_sum_fin_lt
#align power_basis.degree_minpoly_gen PowerBasis.degree_minpolyGen
theorem natDegree_minpolyGen [Nontrivial A] (pb : PowerBasis A S) :
natDegree (minpolyGen pb) = pb.dim :=
natDegree_eq_of_degree_eq_some pb.degree_minpolyGen
#align power_basis.nat_degree_minpoly_gen PowerBasis.natDegree_minpolyGen
@[simp]
theorem minpolyGen_eq (pb : PowerBasis A S) : pb.minpolyGen = minpoly A pb.gen := by
nontriviality A
refine minpoly.unique' A _ pb.minpolyGen_monic pb.aeval_minpolyGen fun q hq =>
or_iff_not_imp_left.2 fun hn0 h0 => ?_
exact (pb.dim_le_degree_of_root hn0 h0).not_lt (pb.degree_minpolyGen ▸ hq)
#align power_basis.minpoly_gen_eq PowerBasis.minpolyGen_eq
theorem isIntegral_gen (pb : PowerBasis A S) : IsIntegral A pb.gen :=
⟨minpolyGen pb, minpolyGen_monic pb, aeval_minpolyGen pb⟩
#align power_basis.is_integral_gen PowerBasis.isIntegral_gen
@[simp]
| Mathlib/RingTheory/PowerBasis.lean | 210 | 211 | theorem degree_minpoly [Nontrivial A] (pb : PowerBasis A S) :
degree (minpoly A pb.gen) = pb.dim := by | rw [← minpolyGen_eq, degree_minpolyGen]
|
import Mathlib.SetTheory.Cardinal.Ordinal
#align_import set_theory.cardinal.continuum from "leanprover-community/mathlib"@"e08a42b2dd544cf11eba72e5fc7bf199d4349925"
namespace Cardinal
universe u v
open Cardinal
def continuum : Cardinal.{u} :=
2 ^ ℵ₀
#align cardinal.continuum Cardinal.continuum
scoped notation "𝔠" => Cardinal.continuum
@[simp]
theorem two_power_aleph0 : 2 ^ aleph0.{u} = continuum.{u} :=
rfl
#align cardinal.two_power_aleph_0 Cardinal.two_power_aleph0
@[simp]
theorem lift_continuum : lift.{v} 𝔠 = 𝔠 := by
rw [← two_power_aleph0, lift_two_power, lift_aleph0, two_power_aleph0]
#align cardinal.lift_continuum Cardinal.lift_continuum
@[simp]
theorem continuum_le_lift {c : Cardinal.{u}} : 𝔠 ≤ lift.{v} c ↔ 𝔠 ≤ c := by
-- Porting note: added explicit universes
rw [← lift_continuum.{u,v}, lift_le]
#align cardinal.continuum_le_lift Cardinal.continuum_le_lift
@[simp]
theorem lift_le_continuum {c : Cardinal.{u}} : lift.{v} c ≤ 𝔠 ↔ c ≤ 𝔠 := by
-- Porting note: added explicit universes
rw [← lift_continuum.{u,v}, lift_le]
#align cardinal.lift_le_continuum Cardinal.lift_le_continuum
@[simp]
theorem continuum_lt_lift {c : Cardinal.{u}} : 𝔠 < lift.{v} c ↔ 𝔠 < c := by
-- Porting note: added explicit universes
rw [← lift_continuum.{u,v}, lift_lt]
#align cardinal.continuum_lt_lift Cardinal.continuum_lt_lift
@[simp]
theorem lift_lt_continuum {c : Cardinal.{u}} : lift.{v} c < 𝔠 ↔ c < 𝔠 := by
-- Porting note: added explicit universes
rw [← lift_continuum.{u,v}, lift_lt]
#align cardinal.lift_lt_continuum Cardinal.lift_lt_continuum
theorem aleph0_lt_continuum : ℵ₀ < 𝔠 :=
cantor ℵ₀
#align cardinal.aleph_0_lt_continuum Cardinal.aleph0_lt_continuum
theorem aleph0_le_continuum : ℵ₀ ≤ 𝔠 :=
aleph0_lt_continuum.le
#align cardinal.aleph_0_le_continuum Cardinal.aleph0_le_continuum
@[simp]
theorem beth_one : beth 1 = 𝔠 := by simpa using beth_succ 0
#align cardinal.beth_one Cardinal.beth_one
theorem nat_lt_continuum (n : ℕ) : ↑n < 𝔠 :=
(nat_lt_aleph0 n).trans aleph0_lt_continuum
#align cardinal.nat_lt_continuum Cardinal.nat_lt_continuum
theorem mk_set_nat : #(Set ℕ) = 𝔠 := by simp
#align cardinal.mk_set_nat Cardinal.mk_set_nat
theorem continuum_pos : 0 < 𝔠 :=
nat_lt_continuum 0
#align cardinal.continuum_pos Cardinal.continuum_pos
theorem continuum_ne_zero : 𝔠 ≠ 0 :=
continuum_pos.ne'
#align cardinal.continuum_ne_zero Cardinal.continuum_ne_zero
| Mathlib/SetTheory/Cardinal/Continuum.lean | 101 | 103 | theorem aleph_one_le_continuum : aleph 1 ≤ 𝔠 := by |
rw [← succ_aleph0]
exact Order.succ_le_of_lt aleph0_lt_continuum
|
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
| Mathlib/Geometry/Euclidean/Angle/Unoriented/RightAngle.lean | 197 | 202 | 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]
|
import Mathlib.SetTheory.Game.Ordinal
import Mathlib.SetTheory.Ordinal.NaturalOps
#align_import set_theory.game.birthday from "leanprover-community/mathlib"@"a347076985674932c0e91da09b9961ed0a79508c"
universe u
open Ordinal
namespace SetTheory
open scoped NaturalOps PGame
namespace PGame
noncomputable def birthday : PGame.{u} → Ordinal.{u}
| ⟨_, _, xL, xR⟩ =>
max (lsub.{u, u} fun i => birthday (xL i)) (lsub.{u, u} fun i => birthday (xR i))
#align pgame.birthday SetTheory.PGame.birthday
theorem birthday_def (x : PGame) :
birthday x =
max (lsub.{u, u} fun i => birthday (x.moveLeft i))
(lsub.{u, u} fun i => birthday (x.moveRight i)) := by
cases x; rw [birthday]; rfl
#align pgame.birthday_def SetTheory.PGame.birthday_def
theorem birthday_moveLeft_lt {x : PGame} (i : x.LeftMoves) :
(x.moveLeft i).birthday < x.birthday := by
cases x; rw [birthday]; exact lt_max_of_lt_left (lt_lsub _ i)
#align pgame.birthday_move_left_lt SetTheory.PGame.birthday_moveLeft_lt
theorem birthday_moveRight_lt {x : PGame} (i : x.RightMoves) :
(x.moveRight i).birthday < x.birthday := by
cases x; rw [birthday]; exact lt_max_of_lt_right (lt_lsub _ i)
#align pgame.birthday_move_right_lt SetTheory.PGame.birthday_moveRight_lt
theorem lt_birthday_iff {x : PGame} {o : Ordinal} :
o < x.birthday ↔
(∃ i : x.LeftMoves, o ≤ (x.moveLeft i).birthday) ∨
∃ i : x.RightMoves, o ≤ (x.moveRight i).birthday := by
constructor
· rw [birthday_def]
intro h
cases' lt_max_iff.1 h with h' h'
· left
rwa [lt_lsub_iff] at h'
· right
rwa [lt_lsub_iff] at h'
· rintro (⟨i, hi⟩ | ⟨i, hi⟩)
· exact hi.trans_lt (birthday_moveLeft_lt i)
· exact hi.trans_lt (birthday_moveRight_lt i)
#align pgame.lt_birthday_iff SetTheory.PGame.lt_birthday_iff
theorem Relabelling.birthday_congr : ∀ {x y : PGame.{u}}, x ≡r y → birthday x = birthday y
| ⟨xl, xr, xL, xR⟩, ⟨yl, yr, yL, yR⟩, r => by
unfold birthday
congr 1
all_goals
apply lsub_eq_of_range_eq.{u, u, u}
ext i; constructor
all_goals rintro ⟨j, rfl⟩
· exact ⟨_, (r.moveLeft j).birthday_congr.symm⟩
· exact ⟨_, (r.moveLeftSymm j).birthday_congr⟩
· exact ⟨_, (r.moveRight j).birthday_congr.symm⟩
· exact ⟨_, (r.moveRightSymm j).birthday_congr⟩
termination_by x y => (x, y)
#align pgame.relabelling.birthday_congr SetTheory.PGame.Relabelling.birthday_congr
@[simp]
| Mathlib/SetTheory/Game/Birthday.lean | 97 | 99 | theorem birthday_eq_zero {x : PGame} :
birthday x = 0 ↔ IsEmpty x.LeftMoves ∧ IsEmpty x.RightMoves := by |
rw [birthday_def, max_eq_zero, lsub_eq_zero_iff, lsub_eq_zero_iff]
|
import Mathlib.Algebra.BigOperators.Ring
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.Fintype.Fin
import Mathlib.GroupTheory.GroupAction.Pi
import Mathlib.Logic.Equiv.Fin
#align_import algebra.big_operators.fin from "leanprover-community/mathlib"@"cc5dd6244981976cc9da7afc4eee5682b037a013"
open Finset
variable {α : Type*} {β : Type*}
namespace Fin
@[to_additive]
theorem prod_ofFn [CommMonoid β] {n : ℕ} (f : Fin n → β) : (List.ofFn f).prod = ∏ i, f i := by
simp [prod_eq_multiset_prod]
#align fin.prod_of_fn Fin.prod_ofFn
#align fin.sum_of_fn Fin.sum_ofFn
@[to_additive]
theorem prod_univ_def [CommMonoid β] {n : ℕ} (f : Fin n → β) :
∏ i, f i = ((List.finRange n).map f).prod := by
rw [← List.ofFn_eq_map, prod_ofFn]
#align fin.prod_univ_def Fin.prod_univ_def
#align fin.sum_univ_def Fin.sum_univ_def
@[to_additive "A sum of a function `f : Fin 0 → β` is `0` because `Fin 0` is empty"]
theorem prod_univ_zero [CommMonoid β] (f : Fin 0 → β) : ∏ i, f i = 1 :=
rfl
#align fin.prod_univ_zero Fin.prod_univ_zero
#align fin.sum_univ_zero Fin.sum_univ_zero
@[to_additive "A sum of a function `f : Fin (n + 1) → β` over all `Fin (n + 1)` is the sum of
`f x`, for some `x : Fin (n + 1)` plus the remaining product"]
theorem prod_univ_succAbove [CommMonoid β] {n : ℕ} (f : Fin (n + 1) → β) (x : Fin (n + 1)) :
∏ i, f i = f x * ∏ i : Fin n, f (x.succAbove i) := by
rw [univ_succAbove, prod_cons, Finset.prod_map _ x.succAboveEmb]
rfl
#align fin.prod_univ_succ_above Fin.prod_univ_succAbove
#align fin.sum_univ_succ_above Fin.sum_univ_succAbove
@[to_additive "A sum of a function `f : Fin (n + 1) → β` over all `Fin (n + 1)` is the sum of
`f 0` plus the remaining product"]
theorem prod_univ_succ [CommMonoid β] {n : ℕ} (f : Fin (n + 1) → β) :
∏ i, f i = f 0 * ∏ i : Fin n, f i.succ :=
prod_univ_succAbove f 0
#align fin.prod_univ_succ Fin.prod_univ_succ
#align fin.sum_univ_succ Fin.sum_univ_succ
@[to_additive "A sum of a function `f : Fin (n + 1) → β` over all `Fin (n + 1)` is the sum of
`f (Fin.last n)` plus the remaining sum"]
theorem prod_univ_castSucc [CommMonoid β] {n : ℕ} (f : Fin (n + 1) → β) :
∏ i, f i = (∏ i : Fin n, f (Fin.castSucc i)) * f (last n) := by
simpa [mul_comm] using prod_univ_succAbove f (last n)
#align fin.prod_univ_cast_succ Fin.prod_univ_castSucc
#align fin.sum_univ_cast_succ Fin.sum_univ_castSucc
@[to_additive (attr := simp)]
theorem prod_univ_get [CommMonoid α] (l : List α) : ∏ i, l.get i = l.prod := by
simp [Finset.prod_eq_multiset_prod]
@[to_additive (attr := simp)]
theorem prod_univ_get' [CommMonoid β] (l : List α) (f : α → β) :
∏ i, f (l.get i) = (l.map f).prod := by
simp [Finset.prod_eq_multiset_prod]
@[to_additive]
theorem prod_cons [CommMonoid β] {n : ℕ} (x : β) (f : Fin n → β) :
(∏ i : Fin n.succ, (cons x f : Fin n.succ → β) i) = x * ∏ i : Fin n, f i := by
simp_rw [prod_univ_succ, cons_zero, cons_succ]
#align fin.prod_cons Fin.prod_cons
#align fin.sum_cons Fin.sum_cons
@[to_additive sum_univ_one]
theorem prod_univ_one [CommMonoid β] (f : Fin 1 → β) : ∏ i, f i = f 0 := by simp
#align fin.prod_univ_one Fin.prod_univ_one
#align fin.sum_univ_one Fin.sum_univ_one
@[to_additive (attr := simp)]
theorem prod_univ_two [CommMonoid β] (f : Fin 2 → β) : ∏ i, f i = f 0 * f 1 := by
simp [prod_univ_succ]
#align fin.prod_univ_two Fin.prod_univ_two
#align fin.sum_univ_two Fin.sum_univ_two
@[to_additive]
theorem prod_univ_two' [CommMonoid β] (f : α → β) (a b : α) :
∏ i, f (![a, b] i) = f a * f b :=
prod_univ_two _
@[to_additive]
| Mathlib/Algebra/BigOperators/Fin.lean | 129 | 131 | theorem prod_univ_three [CommMonoid β] (f : Fin 3 → β) : ∏ i, f i = f 0 * f 1 * f 2 := by |
rw [prod_univ_castSucc, prod_univ_two]
rfl
|
import Mathlib.Data.Finsupp.ToDFinsupp
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.LinearAlgebra.LinearIndependent
#align_import linear_algebra.dfinsupp from "leanprover-community/mathlib"@"a148d797a1094ab554ad4183a4ad6f130358ef64"
variable {ι : Type*} {R : Type*} {S : Type*} {M : ι → Type*} {N : Type*}
namespace DFinsupp
variable [Semiring R] [∀ i, AddCommMonoid (M i)] [∀ i, Module R (M i)]
variable [AddCommMonoid N] [Module R N]
section DecidableEq
variable [DecidableEq ι]
def lmk (s : Finset ι) : (∀ i : (↑s : Set ι), M i) →ₗ[R] Π₀ i, M i where
toFun := mk s
map_add' _ _ := mk_add
map_smul' c x := mk_smul c x
#align dfinsupp.lmk DFinsupp.lmk
def lsingle (i) : M i →ₗ[R] Π₀ i, M i :=
{ DFinsupp.singleAddHom _ _ with
toFun := single i
map_smul' := single_smul }
#align dfinsupp.lsingle DFinsupp.lsingle
theorem lhom_ext ⦃φ ψ : (Π₀ i, M i) →ₗ[R] N⦄ (h : ∀ i x, φ (single i x) = ψ (single i x)) : φ = ψ :=
LinearMap.toAddMonoidHom_injective <| addHom_ext h
#align dfinsupp.lhom_ext DFinsupp.lhom_ext
@[ext 1100]
theorem lhom_ext' ⦃φ ψ : (Π₀ i, M i) →ₗ[R] N⦄ (h : ∀ i, φ.comp (lsingle i) = ψ.comp (lsingle i)) :
φ = ψ :=
lhom_ext fun i => LinearMap.congr_fun (h i)
#align dfinsupp.lhom_ext' DFinsupp.lhom_ext'
def lapply (i : ι) : (Π₀ i, M i) →ₗ[R] M i where
toFun f := f i
map_add' f g := add_apply f g i
map_smul' c f := smul_apply c f i
#align dfinsupp.lapply DFinsupp.lapply
-- This lemma has always been bad, but the linter only noticed after lean4#2644.
@[simp, nolint simpNF]
theorem lmk_apply (s : Finset ι) (x) : (lmk s : _ →ₗ[R] Π₀ i, M i) x = mk s x :=
rfl
#align dfinsupp.lmk_apply DFinsupp.lmk_apply
@[simp]
theorem lsingle_apply (i : ι) (x : M i) : (lsingle i : (M i) →ₗ[R] _) x = single i x :=
rfl
#align dfinsupp.lsingle_apply DFinsupp.lsingle_apply
@[simp]
theorem lapply_apply (i : ι) (f : Π₀ i, M i) : (lapply i : (Π₀ i, M i) →ₗ[R] _) f = f i :=
rfl
#align dfinsupp.lapply_apply DFinsupp.lapply_apply
section Lsum
-- Porting note: Unclear how true these docstrings are in lean 4
instance addCommMonoidOfLinearMap : AddCommMonoid (Π₀ i : ι, M i →ₗ[R] N) :=
inferInstance
#align dfinsupp.add_comm_monoid_of_linear_map DFinsupp.addCommMonoidOfLinearMap
instance moduleOfLinearMap [Semiring S] [Module S N] [SMulCommClass R S N] :
Module S (Π₀ i : ι, M i →ₗ[R] N) :=
DFinsupp.module
#align dfinsupp.module_of_linear_map DFinsupp.moduleOfLinearMap
variable (S)
instance {R : Type*} {S : Type*} [Semiring R] [Semiring S] (σ : R →+* S)
{σ' : S →+* R} [RingHomInvPair σ σ'] [RingHomInvPair σ' σ] (M : Type*) (M₂ : Type*)
[AddCommMonoid M] [AddCommMonoid M₂] [Module R M] [Module S M₂] :
EquivLike (LinearEquiv σ M M₂) M M₂ :=
inferInstance
@[simps]
def lsum [Semiring S] [Module S N] [SMulCommClass R S N] :
(∀ i, M i →ₗ[R] N) ≃ₗ[S] (Π₀ i, M i) →ₗ[R] N where
toFun F :=
{ toFun := sumAddHom fun i => (F i).toAddMonoidHom
map_add' := (DFinsupp.liftAddHom fun (i : ι) => (F i).toAddMonoidHom).map_add
map_smul' := fun c f => by
dsimp
apply DFinsupp.induction f
· rw [smul_zero, AddMonoidHom.map_zero, smul_zero]
· intro a b f _ _ hf
rw [smul_add, AddMonoidHom.map_add, AddMonoidHom.map_add, smul_add, hf, ← single_smul,
sumAddHom_single, sumAddHom_single, LinearMap.toAddMonoidHom_coe,
LinearMap.map_smul] }
invFun F i := F.comp (lsingle i)
left_inv F := by
ext
simp
right_inv F := by
refine DFinsupp.lhom_ext' (fun i ↦ ?_)
ext
simp
map_add' F G := by
refine DFinsupp.lhom_ext' (fun i ↦ ?_)
ext
simp
map_smul' c F := by
refine DFinsupp.lhom_ext' (fun i ↦ ?_)
ext
simp
#align dfinsupp.lsum DFinsupp.lsum
| Mathlib/LinearAlgebra/DFinsupp.lean | 170 | 172 | theorem lsum_single [Semiring S] [Module S N] [SMulCommClass R S N] (F : ∀ i, M i →ₗ[R] N) (i)
(x : M i) : lsum S (M := M) F (single i x) = F i x := by |
simp
|
import Mathlib.Analysis.NormedSpace.Basic
import Mathlib.Analysis.Normed.Group.Hom
import Mathlib.Data.Real.Sqrt
import Mathlib.RingTheory.Ideal.QuotientOperations
import Mathlib.Topology.MetricSpace.HausdorffDistance
#align_import analysis.normed.group.quotient from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
noncomputable section
open QuotientAddGroup Metric Set Topology NNReal
variable {M N : Type*} [SeminormedAddCommGroup M] [SeminormedAddCommGroup N]
noncomputable instance normOnQuotient (S : AddSubgroup M) : Norm (M ⧸ S) where
norm x := sInf (norm '' { m | mk' S m = x })
#align norm_on_quotient normOnQuotient
theorem AddSubgroup.quotient_norm_eq {S : AddSubgroup M} (x : M ⧸ S) :
‖x‖ = sInf (norm '' { m : M | (m : M ⧸ S) = x }) :=
rfl
#align add_subgroup.quotient_norm_eq AddSubgroup.quotient_norm_eq
theorem QuotientAddGroup.norm_eq_infDist {S : AddSubgroup M} (x : M ⧸ S) :
‖x‖ = infDist 0 { m : M | (m : M ⧸ S) = x } := by
simp only [AddSubgroup.quotient_norm_eq, infDist_eq_iInf, sInf_image', dist_zero_left]
theorem QuotientAddGroup.norm_mk {S : AddSubgroup M} (x : M) :
‖(x : M ⧸ S)‖ = infDist x S := by
rw [norm_eq_infDist, ← infDist_image (IsometryEquiv.subLeft x).isometry,
IsometryEquiv.subLeft_apply, sub_zero, ← IsometryEquiv.preimage_symm]
congr 1 with y
simp only [mem_preimage, IsometryEquiv.subLeft_symm_apply, mem_setOf_eq, QuotientAddGroup.eq,
neg_add, neg_neg, neg_add_cancel_right, SetLike.mem_coe]
theorem image_norm_nonempty {S : AddSubgroup M} (x : M ⧸ S) :
(norm '' { m | mk' S m = x }).Nonempty :=
.image _ <| Quot.exists_rep x
#align image_norm_nonempty image_norm_nonempty
theorem bddBelow_image_norm (s : Set M) : BddBelow (norm '' s) :=
⟨0, forall_mem_image.2 fun _ _ ↦ norm_nonneg _⟩
#align bdd_below_image_norm bddBelow_image_norm
theorem isGLB_quotient_norm {S : AddSubgroup M} (x : M ⧸ S) :
IsGLB (norm '' { m | mk' S m = x }) (‖x‖) :=
isGLB_csInf (image_norm_nonempty x) (bddBelow_image_norm _)
theorem quotient_norm_neg {S : AddSubgroup M} (x : M ⧸ S) : ‖-x‖ = ‖x‖ := by
simp only [AddSubgroup.quotient_norm_eq]
congr 1 with r
constructor <;> { rintro ⟨m, hm, rfl⟩; use -m; simpa [neg_eq_iff_eq_neg] using hm }
#align quotient_norm_neg quotient_norm_neg
theorem quotient_norm_sub_rev {S : AddSubgroup M} (x y : M ⧸ S) : ‖x - y‖ = ‖y - x‖ := by
rw [← neg_sub, quotient_norm_neg]
#align quotient_norm_sub_rev quotient_norm_sub_rev
theorem quotient_norm_mk_le (S : AddSubgroup M) (m : M) : ‖mk' S m‖ ≤ ‖m‖ :=
csInf_le (bddBelow_image_norm _) <| Set.mem_image_of_mem _ rfl
#align quotient_norm_mk_le quotient_norm_mk_le
theorem quotient_norm_mk_le' (S : AddSubgroup M) (m : M) : ‖(m : M ⧸ S)‖ ≤ ‖m‖ :=
quotient_norm_mk_le S m
#align quotient_norm_mk_le' quotient_norm_mk_le'
theorem quotient_norm_mk_eq (S : AddSubgroup M) (m : M) :
‖mk' S m‖ = sInf ((‖m + ·‖) '' S) := by
rw [mk'_apply, norm_mk, sInf_image', ← infDist_image isometry_neg, image_neg,
neg_coe_set (H := S), infDist_eq_iInf]
simp only [dist_eq_norm', sub_neg_eq_add, add_comm]
#align quotient_norm_mk_eq quotient_norm_mk_eq
theorem quotient_norm_nonneg (S : AddSubgroup M) (x : M ⧸ S) : 0 ≤ ‖x‖ :=
Real.sInf_nonneg _ <| forall_mem_image.2 fun _ _ ↦ norm_nonneg _
#align quotient_norm_nonneg quotient_norm_nonneg
theorem norm_mk_nonneg (S : AddSubgroup M) (m : M) : 0 ≤ ‖mk' S m‖ :=
quotient_norm_nonneg S _
#align norm_mk_nonneg norm_mk_nonneg
theorem quotient_norm_eq_zero_iff (S : AddSubgroup M) (m : M) :
‖mk' S m‖ = 0 ↔ m ∈ closure (S : Set M) := by
rw [mk'_apply, norm_mk, ← mem_closure_iff_infDist_zero]
exact ⟨0, S.zero_mem⟩
#align quotient_norm_eq_zero_iff quotient_norm_eq_zero_iff
theorem QuotientAddGroup.norm_lt_iff {S : AddSubgroup M} {x : M ⧸ S} {r : ℝ} :
‖x‖ < r ↔ ∃ m : M, ↑m = x ∧ ‖m‖ < r := by
rw [isGLB_lt_iff (isGLB_quotient_norm _), exists_mem_image]
rfl
theorem norm_mk_lt {S : AddSubgroup M} (x : M ⧸ S) {ε : ℝ} (hε : 0 < ε) :
∃ m : M, mk' S m = x ∧ ‖m‖ < ‖x‖ + ε :=
norm_lt_iff.1 <| lt_add_of_pos_right _ hε
#align norm_mk_lt norm_mk_lt
theorem norm_mk_lt' (S : AddSubgroup M) (m : M) {ε : ℝ} (hε : 0 < ε) :
∃ s ∈ S, ‖m + s‖ < ‖mk' S m‖ + ε := by
obtain ⟨n : M, hn : mk' S n = mk' S m, hn' : ‖n‖ < ‖mk' S m‖ + ε⟩ :=
norm_mk_lt (QuotientAddGroup.mk' S m) hε
erw [eq_comm, QuotientAddGroup.eq] at hn
use -m + n, hn
rwa [add_neg_cancel_left]
#align norm_mk_lt' norm_mk_lt'
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
theorem quotient_norm_add_le (S : AddSubgroup M) (x y : M ⧸ S) : ‖x + y‖ ≤ ‖x‖ + ‖y‖ := by
rcases And.intro (mk_surjective x) (mk_surjective y) with ⟨⟨x, rfl⟩, ⟨y, rfl⟩⟩
simp only [← mk'_apply, ← map_add, quotient_norm_mk_eq, sInf_image']
refine le_ciInf_add_ciInf fun a b ↦ ?_
refine ciInf_le_of_le ⟨0, forall_mem_range.2 fun _ ↦ norm_nonneg _⟩ (a + b) ?_
exact (congr_arg norm (add_add_add_comm _ _ _ _)).trans_le (norm_add_le _ _)
#align quotient_norm_add_le quotient_norm_add_le
theorem norm_mk_zero (S : AddSubgroup M) : ‖(0 : M ⧸ S)‖ = 0 := by
erw [quotient_norm_eq_zero_iff]
exact subset_closure S.zero_mem
#align norm_mk_zero norm_mk_zero
theorem norm_mk_eq_zero (S : AddSubgroup M) (hS : IsClosed (S : Set M)) (m : M)
(h : ‖mk' S m‖ = 0) : m ∈ S := by rwa [quotient_norm_eq_zero_iff, hS.closure_eq] at h
#align norm_zero_eq_zero norm_mk_eq_zero
theorem quotient_nhd_basis (S : AddSubgroup M) :
(𝓝 (0 : M ⧸ S)).HasBasis (fun ε ↦ 0 < ε) fun ε ↦ { x | ‖x‖ < ε } := by
have : ∀ ε : ℝ, mk '' ball (0 : M) ε = { x : M ⧸ S | ‖x‖ < ε } := by
refine fun ε ↦ Set.ext <| forall_mk.2 fun x ↦ ?_
rw [ball_zero_eq, mem_setOf_eq, norm_lt_iff, mem_image]
exact exists_congr fun _ ↦ and_comm
rw [← mk_zero, nhds_eq, ← funext this]
exact .map _ Metric.nhds_basis_ball
#align quotient_nhd_basis quotient_nhd_basis
noncomputable instance AddSubgroup.seminormedAddCommGroupQuotient (S : AddSubgroup M) :
SeminormedAddCommGroup (M ⧸ S) where
dist x y := ‖x - y‖
dist_self x := by simp only [norm_mk_zero, sub_self]
dist_comm := quotient_norm_sub_rev
dist_triangle x y z := by
refine le_trans ?_ (quotient_norm_add_le _ _ _)
exact (congr_arg norm (sub_add_sub_cancel _ _ _).symm).le
edist_dist x y := by exact ENNReal.coe_nnreal_eq _
toUniformSpace := TopologicalAddGroup.toUniformSpace (M ⧸ S)
uniformity_dist := by
rw [uniformity_eq_comap_nhds_zero', ((quotient_nhd_basis S).comap _).eq_biInf]
simp only [dist, quotient_norm_sub_rev (Prod.fst _), preimage_setOf_eq]
#align add_subgroup.seminormed_add_comm_group_quotient AddSubgroup.seminormedAddCommGroupQuotient
-- This is a sanity check left here on purpose to ensure that potential refactors won't destroy
-- this important property.
example (S : AddSubgroup M) :
(instTopologicalSpaceQuotient : TopologicalSpace <| M ⧸ S) =
S.seminormedAddCommGroupQuotient.toUniformSpace.toTopologicalSpace :=
rfl
noncomputable instance AddSubgroup.normedAddCommGroupQuotient (S : AddSubgroup M)
[IsClosed (S : Set M)] : NormedAddCommGroup (M ⧸ S) :=
{ AddSubgroup.seminormedAddCommGroupQuotient S, MetricSpace.ofT0PseudoMetricSpace _ with }
#align add_subgroup.normed_add_comm_group_quotient AddSubgroup.normedAddCommGroupQuotient
-- This is a sanity check left here on purpose to ensure that potential refactors won't destroy
-- this important property.
example (S : AddSubgroup M) [IsClosed (S : Set M)] :
S.seminormedAddCommGroupQuotient = NormedAddCommGroup.toSeminormedAddCommGroup :=
rfl
namespace AddSubgroup
open NormedAddGroupHom
noncomputable def normedMk (S : AddSubgroup M) : NormedAddGroupHom M (M ⧸ S) :=
{ QuotientAddGroup.mk' S with
bound' := ⟨1, fun m => by simpa [one_mul] using quotient_norm_mk_le _ m⟩ }
#align add_subgroup.normed_mk AddSubgroup.normedMk
@[simp]
theorem normedMk.apply (S : AddSubgroup M) (m : M) : normedMk S m = QuotientAddGroup.mk' S m :=
rfl
#align add_subgroup.normed_mk.apply AddSubgroup.normedMk.apply
theorem surjective_normedMk (S : AddSubgroup M) : Function.Surjective (normedMk S) :=
surjective_quot_mk _
#align add_subgroup.surjective_normed_mk AddSubgroup.surjective_normedMk
theorem ker_normedMk (S : AddSubgroup M) : S.normedMk.ker = S :=
QuotientAddGroup.ker_mk' _
#align add_subgroup.ker_normed_mk AddSubgroup.ker_normedMk
theorem norm_normedMk_le (S : AddSubgroup M) : ‖S.normedMk‖ ≤ 1 :=
NormedAddGroupHom.opNorm_le_bound _ zero_le_one fun m => by simp [quotient_norm_mk_le']
#align add_subgroup.norm_normed_mk_le AddSubgroup.norm_normedMk_le
theorem _root_.QuotientAddGroup.norm_lift_apply_le {S : AddSubgroup M} (f : NormedAddGroupHom M N)
(hf : ∀ x ∈ S, f x = 0) (x : M ⧸ S) : ‖lift S f.toAddMonoidHom hf x‖ ≤ ‖f‖ * ‖x‖ := by
cases (norm_nonneg f).eq_or_gt with
| inl h =>
rcases mk_surjective x with ⟨x, rfl⟩
simpa [h] using le_opNorm f x
| inr h =>
rw [← not_lt, ← _root_.lt_div_iff' h, norm_lt_iff]
rintro ⟨x, rfl, hx⟩
exact ((lt_div_iff' h).1 hx).not_le (le_opNorm f x)
| Mathlib/Analysis/Normed/Group/Quotient.lean | 319 | 326 | theorem norm_normedMk (S : AddSubgroup M) (h : (S.topologicalClosure : Set M) ≠ univ) :
‖S.normedMk‖ = 1 := by |
refine le_antisymm (norm_normedMk_le S) ?_
obtain ⟨x, hx⟩ : ∃ x : M, 0 < ‖(x : M ⧸ S)‖ := by
refine (Set.nonempty_compl.2 h).imp fun x hx ↦ ?_
exact (norm_nonneg _).lt_of_ne' <| mt (quotient_norm_eq_zero_iff S x).1 hx
refine (le_mul_iff_one_le_left hx).1 ?_
exact norm_lift_apply_le S.normedMk (fun x ↦ (eq_zero_iff x).2) x
|
import Mathlib.Analysis.InnerProductSpace.Projection
import Mathlib.MeasureTheory.Function.ConditionalExpectation.Unique
import Mathlib.MeasureTheory.Function.L2Space
#align_import measure_theory.function.conditional_expectation.condexp_L2 from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
set_option linter.uppercaseLean3 false
open TopologicalSpace Filter ContinuousLinearMap
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α E E' F G G' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- E for an inner product space
[NormedAddCommGroup E]
[InnerProductSpace 𝕜 E] [CompleteSpace E]
-- E' for an inner product space on which we compute integrals
[NormedAddCommGroup E']
[InnerProductSpace 𝕜 E'] [CompleteSpace E'] [NormedSpace ℝ E']
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- G for a Lp add_subgroup
[NormedAddCommGroup G]
-- G' for integrals on a Lp add_subgroup
[NormedAddCommGroup G']
[NormedSpace ℝ G'] [CompleteSpace G']
variable {m m0 : MeasurableSpace α} {μ : Measure α} {s t : Set α}
local notation "⟪" x ", " y "⟫" => @inner 𝕜 E _ x y
local notation "⟪" x ", " y "⟫₂" => @inner 𝕜 (α →₂[μ] E) _ x y
-- Porting note: the argument `E` of `condexpL2` is not automatically filled in Lean 4.
-- To avoid typing `(E := _)` every time it is made explicit.
variable (E 𝕜)
noncomputable def condexpL2 (hm : m ≤ m0) : (α →₂[μ] E) →L[𝕜] lpMeas E 𝕜 m 2 μ :=
@orthogonalProjection 𝕜 (α →₂[μ] E) _ _ _ (lpMeas E 𝕜 m 2 μ)
haveI : Fact (m ≤ m0) := ⟨hm⟩
inferInstance
#align measure_theory.condexp_L2 MeasureTheory.condexpL2
variable {E 𝕜}
theorem aeStronglyMeasurable'_condexpL2 (hm : m ≤ m0) (f : α →₂[μ] E) :
AEStronglyMeasurable' (β := E) m (condexpL2 E 𝕜 hm f) μ :=
lpMeas.aeStronglyMeasurable' _
#align measure_theory.ae_strongly_measurable'_condexp_L2 MeasureTheory.aeStronglyMeasurable'_condexpL2
theorem integrableOn_condexpL2_of_measure_ne_top (hm : m ≤ m0) (hμs : μ s ≠ ∞) (f : α →₂[μ] E) :
IntegrableOn (E := E) (condexpL2 E 𝕜 hm f) s μ :=
integrableOn_Lp_of_measure_ne_top (condexpL2 E 𝕜 hm f : α →₂[μ] E) fact_one_le_two_ennreal.elim
hμs
#align measure_theory.integrable_on_condexp_L2_of_measure_ne_top MeasureTheory.integrableOn_condexpL2_of_measure_ne_top
theorem integrable_condexpL2_of_isFiniteMeasure (hm : m ≤ m0) [IsFiniteMeasure μ] {f : α →₂[μ] E} :
Integrable (β := E) (condexpL2 E 𝕜 hm f) μ :=
integrableOn_univ.mp <| integrableOn_condexpL2_of_measure_ne_top hm (measure_ne_top _ _) f
#align measure_theory.integrable_condexp_L2_of_is_finite_measure MeasureTheory.integrable_condexpL2_of_isFiniteMeasure
theorem norm_condexpL2_le_one (hm : m ≤ m0) : ‖@condexpL2 α E 𝕜 _ _ _ _ _ _ μ hm‖ ≤ 1 :=
haveI : Fact (m ≤ m0) := ⟨hm⟩
orthogonalProjection_norm_le _
#align measure_theory.norm_condexp_L2_le_one MeasureTheory.norm_condexpL2_le_one
theorem norm_condexpL2_le (hm : m ≤ m0) (f : α →₂[μ] E) : ‖condexpL2 E 𝕜 hm f‖ ≤ ‖f‖ :=
((@condexpL2 _ E 𝕜 _ _ _ _ _ _ μ hm).le_opNorm f).trans
(mul_le_of_le_one_left (norm_nonneg _) (norm_condexpL2_le_one hm))
#align measure_theory.norm_condexp_L2_le MeasureTheory.norm_condexpL2_le
theorem snorm_condexpL2_le (hm : m ≤ m0) (f : α →₂[μ] E) :
snorm (F := E) (condexpL2 E 𝕜 hm f) 2 μ ≤ snorm f 2 μ := by
rw [lpMeas_coe, ← ENNReal.toReal_le_toReal (Lp.snorm_ne_top _) (Lp.snorm_ne_top _), ←
Lp.norm_def, ← Lp.norm_def, Submodule.norm_coe]
exact norm_condexpL2_le hm f
#align measure_theory.snorm_condexp_L2_le MeasureTheory.snorm_condexpL2_le
theorem norm_condexpL2_coe_le (hm : m ≤ m0) (f : α →₂[μ] E) :
‖(condexpL2 E 𝕜 hm f : α →₂[μ] E)‖ ≤ ‖f‖ := by
rw [Lp.norm_def, Lp.norm_def, ← lpMeas_coe]
refine (ENNReal.toReal_le_toReal ?_ (Lp.snorm_ne_top _)).mpr (snorm_condexpL2_le hm f)
exact Lp.snorm_ne_top _
#align measure_theory.norm_condexp_L2_coe_le MeasureTheory.norm_condexpL2_coe_le
theorem inner_condexpL2_left_eq_right (hm : m ≤ m0) {f g : α →₂[μ] E} :
⟪(condexpL2 E 𝕜 hm f : α →₂[μ] E), g⟫₂ = ⟪f, (condexpL2 E 𝕜 hm g : α →₂[μ] E)⟫₂ :=
haveI : Fact (m ≤ m0) := ⟨hm⟩
inner_orthogonalProjection_left_eq_right _ f g
#align measure_theory.inner_condexp_L2_left_eq_right MeasureTheory.inner_condexpL2_left_eq_right
theorem condexpL2_indicator_of_measurable (hm : m ≤ m0) (hs : MeasurableSet[m] s) (hμs : μ s ≠ ∞)
(c : E) :
(condexpL2 E 𝕜 hm (indicatorConstLp 2 (hm s hs) hμs c) : α →₂[μ] E) =
indicatorConstLp 2 (hm s hs) hμs c := by
rw [condexpL2]
haveI : Fact (m ≤ m0) := ⟨hm⟩
have h_mem : indicatorConstLp 2 (hm s hs) hμs c ∈ lpMeas E 𝕜 m 2 μ :=
mem_lpMeas_indicatorConstLp hm hs hμs
let ind := (⟨indicatorConstLp 2 (hm s hs) hμs c, h_mem⟩ : lpMeas E 𝕜 m 2 μ)
have h_coe_ind : (ind : α →₂[μ] E) = indicatorConstLp 2 (hm s hs) hμs c := rfl
have h_orth_mem := orthogonalProjection_mem_subspace_eq_self ind
rw [← h_coe_ind, h_orth_mem]
#align measure_theory.condexp_L2_indicator_of_measurable MeasureTheory.condexpL2_indicator_of_measurable
theorem inner_condexpL2_eq_inner_fun (hm : m ≤ m0) (f g : α →₂[μ] E)
(hg : AEStronglyMeasurable' m g μ) :
⟪(condexpL2 E 𝕜 hm f : α →₂[μ] E), g⟫₂ = ⟪f, g⟫₂ := by
symm
rw [← sub_eq_zero, ← inner_sub_left, condexpL2]
simp only [mem_lpMeas_iff_aeStronglyMeasurable'.mpr hg, orthogonalProjection_inner_eq_zero f g]
#align measure_theory.inner_condexp_L2_eq_inner_fun MeasureTheory.inner_condexpL2_eq_inner_fun
section Real
variable {hm : m ≤ m0}
theorem integral_condexpL2_eq_of_fin_meas_real (f : Lp 𝕜 2 μ) (hs : MeasurableSet[m] s)
(hμs : μ s ≠ ∞) : ∫ x in s, (condexpL2 𝕜 𝕜 hm f : α → 𝕜) x ∂μ = ∫ x in s, f x ∂μ := by
rw [← L2.inner_indicatorConstLp_one (𝕜 := 𝕜) (hm s hs) hμs f]
have h_eq_inner : ∫ x in s, (condexpL2 𝕜 𝕜 hm f : α → 𝕜) x ∂μ =
inner (indicatorConstLp 2 (hm s hs) hμs (1 : 𝕜)) (condexpL2 𝕜 𝕜 hm f) := by
rw [L2.inner_indicatorConstLp_one (hm s hs) hμs]
rw [h_eq_inner, ← inner_condexpL2_left_eq_right, condexpL2_indicator_of_measurable hm hs hμs]
#align measure_theory.integral_condexp_L2_eq_of_fin_meas_real MeasureTheory.integral_condexpL2_eq_of_fin_meas_real
| Mathlib/MeasureTheory/Function/ConditionalExpectation/CondexpL2.lean | 161 | 182 | theorem lintegral_nnnorm_condexpL2_le (hs : MeasurableSet[m] s) (hμs : μ s ≠ ∞) (f : Lp ℝ 2 μ) :
∫⁻ x in s, ‖(condexpL2 ℝ ℝ hm f : α → ℝ) x‖₊ ∂μ ≤ ∫⁻ x in s, ‖f x‖₊ ∂μ := by |
let h_meas := lpMeas.aeStronglyMeasurable' (condexpL2 ℝ ℝ hm f)
let g := h_meas.choose
have hg_meas : StronglyMeasurable[m] g := h_meas.choose_spec.1
have hg_eq : g =ᵐ[μ] condexpL2 ℝ ℝ hm f := h_meas.choose_spec.2.symm
have hg_eq_restrict : g =ᵐ[μ.restrict s] condexpL2 ℝ ℝ hm f := ae_restrict_of_ae hg_eq
have hg_nnnorm_eq : (fun x => (‖g x‖₊ : ℝ≥0∞)) =ᵐ[μ.restrict s] fun x =>
(‖(condexpL2 ℝ ℝ hm f : α → ℝ) x‖₊ : ℝ≥0∞) := by
refine hg_eq_restrict.mono fun x hx => ?_
dsimp only
simp_rw [hx]
rw [lintegral_congr_ae hg_nnnorm_eq.symm]
refine lintegral_nnnorm_le_of_forall_fin_meas_integral_eq
hm (Lp.stronglyMeasurable f) ?_ ?_ ?_ ?_ hs hμs
· exact integrableOn_Lp_of_measure_ne_top f fact_one_le_two_ennreal.elim hμs
· exact hg_meas
· rw [IntegrableOn, integrable_congr hg_eq_restrict]
exact integrableOn_condexpL2_of_measure_ne_top hm hμs f
· intro t ht hμt
rw [← integral_condexpL2_eq_of_fin_meas_real f ht hμt.ne]
exact setIntegral_congr_ae (hm t ht) (hg_eq.mono fun x hx _ => hx)
|
import Mathlib.Algebra.Homology.ComplexShape
import Mathlib.CategoryTheory.Subobject.Limits
import Mathlib.CategoryTheory.GradedObject
import Mathlib.Algebra.Homology.ShortComplex.Basic
#align_import algebra.homology.homological_complex from "leanprover-community/mathlib"@"88bca0ce5d22ebfd9e73e682e51d60ea13b48347"
universe v u
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits
variable {ι : Type*}
variable (V : Type u) [Category.{v} V] [HasZeroMorphisms V]
structure HomologicalComplex (c : ComplexShape ι) where
X : ι → V
d : ∀ i j, X i ⟶ X j
shape : ∀ i j, ¬c.Rel i j → d i j = 0 := by aesop_cat
d_comp_d' : ∀ i j k, c.Rel i j → c.Rel j k → d i j ≫ d j k = 0 := by aesop_cat
#align homological_complex HomologicalComplex
abbrev ChainComplex (α : Type*) [AddRightCancelSemigroup α] [One α] : Type _ :=
HomologicalComplex V (ComplexShape.down α)
#align chain_complex ChainComplex
abbrev CochainComplex (α : Type*) [AddRightCancelSemigroup α] [One α] : Type _ :=
HomologicalComplex V (ComplexShape.up α)
#align cochain_complex CochainComplex
namespace ChainComplex
section Of
variable {V} {α : Type*} [AddRightCancelSemigroup α] [One α] [DecidableEq α]
def of (X : α → V) (d : ∀ n, X (n + 1) ⟶ X n) (sq : ∀ n, d (n + 1) ≫ d n = 0) : ChainComplex V α :=
{ X := X
d := fun i j => if h : i = j + 1 then eqToHom (by rw [h]) ≫ d j else 0
shape := fun i j w => by
dsimp
rw [dif_neg (Ne.symm w)]
d_comp_d' := fun i j k hij hjk => by
dsimp at hij hjk
substs hij hjk
simp only [eqToHom_refl, id_comp, dite_eq_ite, ite_true, sq] }
#align chain_complex.of ChainComplex.of
variable (X : α → V) (d : ∀ n, X (n + 1) ⟶ X n) (sq : ∀ n, d (n + 1) ≫ d n = 0)
@[simp]
theorem of_x (n : α) : (of X d sq).X n = X n :=
rfl
set_option linter.uppercaseLean3 false in
#align chain_complex.of_X ChainComplex.of_x
@[simp]
| Mathlib/Algebra/Homology/HomologicalComplex.lean | 717 | 719 | theorem of_d (j : α) : (of X d sq).d (j + 1) j = d j := by |
dsimp [of]
rw [if_pos rfl, Category.id_comp]
|
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Data.Nat.GCD.Basic
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Linarith
#align_import data.nat.choose.central from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
namespace Nat
def centralBinom (n : ℕ) :=
(2 * n).choose n
#align nat.central_binom Nat.centralBinom
theorem centralBinom_eq_two_mul_choose (n : ℕ) : centralBinom n = (2 * n).choose n :=
rfl
#align nat.central_binom_eq_two_mul_choose Nat.centralBinom_eq_two_mul_choose
theorem centralBinom_pos (n : ℕ) : 0 < centralBinom n :=
choose_pos (Nat.le_mul_of_pos_left _ zero_lt_two)
#align nat.central_binom_pos Nat.centralBinom_pos
theorem centralBinom_ne_zero (n : ℕ) : centralBinom n ≠ 0 :=
(centralBinom_pos n).ne'
#align nat.central_binom_ne_zero Nat.centralBinom_ne_zero
@[simp]
theorem centralBinom_zero : centralBinom 0 = 1 :=
choose_zero_right _
#align nat.central_binom_zero Nat.centralBinom_zero
theorem choose_le_centralBinom (r n : ℕ) : choose (2 * n) r ≤ centralBinom n :=
calc
(2 * n).choose r ≤ (2 * n).choose (2 * n / 2) := choose_le_middle r (2 * n)
_ = (2 * n).choose n := by rw [Nat.mul_div_cancel_left n zero_lt_two]
#align nat.choose_le_central_binom Nat.choose_le_centralBinom
theorem two_le_centralBinom (n : ℕ) (n_pos : 0 < n) : 2 ≤ centralBinom n :=
calc
2 ≤ 2 * n := Nat.le_mul_of_pos_right _ n_pos
_ = (2 * n).choose 1 := (choose_one_right (2 * n)).symm
_ ≤ centralBinom n := choose_le_centralBinom 1 n
#align nat.two_le_central_binom Nat.two_le_centralBinom
theorem succ_mul_centralBinom_succ (n : ℕ) :
(n + 1) * centralBinom (n + 1) = 2 * (2 * n + 1) * centralBinom n :=
calc
(n + 1) * (2 * (n + 1)).choose (n + 1) = (2 * n + 2).choose (n + 1) * (n + 1) := mul_comm _ _
_ = (2 * n + 1).choose n * (2 * n + 2) := by rw [choose_succ_right_eq, choose_mul_succ_eq]
_ = 2 * ((2 * n + 1).choose n * (n + 1)) := by ring
_ = 2 * ((2 * n + 1).choose n * (2 * n + 1 - n)) := by rw [two_mul n, add_assoc,
Nat.add_sub_cancel_left]
_ = 2 * ((2 * n).choose n * (2 * n + 1)) := by rw [choose_mul_succ_eq]
_ = 2 * (2 * n + 1) * (2 * n).choose n := by rw [mul_assoc, mul_comm (2 * n + 1)]
#align nat.succ_mul_central_binom_succ Nat.succ_mul_centralBinom_succ
theorem four_pow_lt_mul_centralBinom (n : ℕ) (n_big : 4 ≤ n) : 4 ^ n < n * centralBinom n := by
induction' n using Nat.strong_induction_on with n IH
rcases lt_trichotomy n 4 with (hn | rfl | hn)
· clear IH; exact False.elim ((not_lt.2 n_big) hn)
· norm_num [centralBinom, choose]
obtain ⟨n, rfl⟩ : ∃ m, n = m + 1 := Nat.exists_eq_succ_of_ne_zero (Nat.not_eq_zero_of_lt hn)
calc
4 ^ (n + 1) < 4 * (n * centralBinom n) := lt_of_eq_of_lt pow_succ' <|
(mul_lt_mul_left <| zero_lt_four' ℕ).mpr (IH n n.lt_succ_self (Nat.le_of_lt_succ hn))
_ ≤ 2 * (2 * n + 1) * centralBinom n := by rw [← mul_assoc]; linarith
_ = (n + 1) * centralBinom (n + 1) := (succ_mul_centralBinom_succ n).symm
#align nat.four_pow_lt_mul_central_binom Nat.four_pow_lt_mul_centralBinom
| Mathlib/Data/Nat/Choose/Central.lean | 105 | 115 | theorem four_pow_le_two_mul_self_mul_centralBinom :
∀ (n : ℕ) (_ : 0 < n), 4 ^ n ≤ 2 * n * centralBinom n
| 0, pr => (Nat.not_lt_zero _ pr).elim
| 1, _ => by norm_num [centralBinom, choose]
| 2, _ => by norm_num [centralBinom, choose]
| 3, _ => by norm_num [centralBinom, choose]
| n + 4, _ =>
calc
4 ^ (n+4) ≤ (n+4) * centralBinom (n+4) := (four_pow_lt_mul_centralBinom _ le_add_self).le
_ ≤ 2 * (n+4) * centralBinom (n+4) := by |
rw [mul_assoc]; refine Nat.le_mul_of_pos_left _ zero_lt_two
|
import Batteries.Data.RBMap.Alter
import Batteries.Data.List.Lemmas
namespace Batteries
namespace RBNode
open RBColor
attribute [simp] fold foldl foldr Any forM foldlM Ordered
@[simp] theorem min?_reverse (t : RBNode α) : t.reverse.min? = t.max? := by
unfold RBNode.max?; split <;> simp [RBNode.min?]
unfold RBNode.min?; rw [min?.match_1.eq_3]
· apply min?_reverse
· simpa [reverse_eq_iff]
@[simp] theorem max?_reverse (t : RBNode α) : t.reverse.max? = t.min? := by
rw [← min?_reverse, reverse_reverse]
@[simp] theorem mem_nil {x} : ¬x ∈ (.nil : RBNode α) := by simp [(·∈·), EMem]
@[simp] theorem mem_node {y c a x b} :
y ∈ (.node c a x b : RBNode α) ↔ y = x ∨ y ∈ a ∨ y ∈ b := by simp [(·∈·), EMem]
theorem All_def {t : RBNode α} : t.All p ↔ ∀ x ∈ t, p x := by
induction t <;> simp [or_imp, forall_and, *]
theorem Any_def {t : RBNode α} : t.Any p ↔ ∃ x ∈ t, p x := by
induction t <;> simp [or_and_right, exists_or, *]
theorem memP_def : MemP cut t ↔ ∃ x ∈ t, cut x = .eq := Any_def
theorem mem_def : Mem cmp x t ↔ ∃ y ∈ t, cmp x y = .eq := Any_def
theorem mem_congr [@TransCmp α cmp] {t : RBNode α} (h : cmp x y = .eq) :
Mem cmp x t ↔ Mem cmp y t := by simp [Mem, TransCmp.cmp_congr_left' h]
theorem isOrdered_iff' [@TransCmp α cmp] {t : RBNode α} :
isOrdered cmp t L R ↔
(∀ a ∈ L, t.All (cmpLT cmp a ·)) ∧
(∀ a ∈ R, t.All (cmpLT cmp · a)) ∧
(∀ a ∈ L, ∀ b ∈ R, cmpLT cmp a b) ∧
Ordered cmp t := by
induction t generalizing L R with
| nil =>
simp [isOrdered]; split <;> simp [cmpLT_iff]
next h => intro _ ha _ hb; cases h _ _ ha hb
| node _ l v r =>
simp [isOrdered, *]
exact ⟨
fun ⟨⟨Ll, lv, Lv, ol⟩, ⟨vr, rR, vR, or⟩⟩ => ⟨
fun _ h => ⟨Lv _ h, Ll _ h, (Lv _ h).trans_l vr⟩,
fun _ h => ⟨vR _ h, (vR _ h).trans_r lv, rR _ h⟩,
fun _ hL _ hR => (Lv _ hL).trans (vR _ hR),
lv, vr, ol, or⟩,
fun ⟨hL, hR, _, lv, vr, ol, or⟩ => ⟨
⟨fun _ h => (hL _ h).2.1, lv, fun _ h => (hL _ h).1, ol⟩,
⟨vr, fun _ h => (hR _ h).2.2, fun _ h => (hR _ h).1, or⟩⟩⟩
theorem isOrdered_iff [@TransCmp α cmp] {t : RBNode α} :
isOrdered cmp t ↔ Ordered cmp t := by simp [isOrdered_iff']
instance (cmp) [@TransCmp α cmp] (t) : Decidable (Ordered cmp t) := decidable_of_iff _ isOrdered_iff
class IsCut (cmp : α → α → Ordering) (cut : α → Ordering) : Prop where
le_lt_trans [TransCmp cmp] : cmp x y ≠ .gt → cut x = .lt → cut y = .lt
le_gt_trans [TransCmp cmp] : cmp x y ≠ .gt → cut y = .gt → cut x = .gt
theorem IsCut.lt_trans [IsCut cmp cut] [TransCmp cmp]
(H : cmp x y = .lt) : cut x = .lt → cut y = .lt :=
IsCut.le_lt_trans <| TransCmp.gt_asymm <| OrientedCmp.cmp_eq_gt.2 H
theorem IsCut.gt_trans [IsCut cmp cut] [TransCmp cmp]
(H : cmp x y = .lt) : cut y = .gt → cut x = .gt :=
IsCut.le_gt_trans <| TransCmp.gt_asymm <| OrientedCmp.cmp_eq_gt.2 H
theorem IsCut.congr [IsCut cmp cut] [TransCmp cmp] (H : cmp x y = .eq) : cut x = cut y := by
cases ey : cut y
· exact IsCut.le_lt_trans (fun h => nomatch H.symm.trans <| OrientedCmp.cmp_eq_gt.1 h) ey
· cases ex : cut x
· exact IsCut.le_lt_trans (fun h => nomatch H.symm.trans h) ex |>.symm.trans ey
· rfl
· refine IsCut.le_gt_trans (cmp := cmp) (fun h => ?_) ex |>.symm.trans ey
cases H.symm.trans <| OrientedCmp.cmp_eq_gt.1 h
· exact IsCut.le_gt_trans (fun h => nomatch H.symm.trans h) ey
instance (cmp cut) [@IsCut α cmp cut] : IsCut (flip cmp) (cut · |>.swap) where
le_lt_trans h₁ h₂ := by
have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp)))
rw [IsCut.le_gt_trans (cmp := cmp) h₁ (Ordering.swap_inj.1 h₂)]; rfl
le_gt_trans h₁ h₂ := by
have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp)))
rw [IsCut.le_lt_trans (cmp := cmp) h₁ (Ordering.swap_inj.1 h₂)]; rfl
class IsStrictCut (cmp : α → α → Ordering) (cut : α → Ordering) extends IsCut cmp cut : Prop where
exact [TransCmp cmp] : cut x = .eq → cmp x y = cut y
instance (cmp) (a : α) : IsStrictCut cmp (cmp a) where
le_lt_trans h₁ h₂ := TransCmp.lt_le_trans h₂ h₁
le_gt_trans h₁ := Decidable.not_imp_not.1 (TransCmp.le_trans · h₁)
exact h := (TransCmp.cmp_congr_left h).symm
instance (cmp cut) [@IsStrictCut α cmp cut] : IsStrictCut (flip cmp) (cut · |>.swap) where
exact h := by
have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp)))
rw [← IsStrictCut.exact (cmp := cmp) (Ordering.swap_inj.1 h), OrientedCmp.symm]; rfl
section fold
theorem foldr_cons (t : RBNode α) (l) : t.foldr (·::·) l = t.toList ++ l := by
unfold toList
induction t generalizing l with
| nil => rfl
| node _ a _ b iha ihb => rw [foldr, foldr, iha, iha (_::_), ihb]; simp
@[simp] theorem toList_nil : (.nil : RBNode α).toList = [] := rfl
@[simp] theorem toList_node : (.node c a x b : RBNode α).toList = a.toList ++ x :: b.toList := by
rw [toList, foldr, foldr_cons]; rfl
@[simp] theorem toList_reverse (t : RBNode α) : t.reverse.toList = t.toList.reverse := by
induction t <;> simp [*]
@[simp] theorem mem_toList {t : RBNode α} : x ∈ t.toList ↔ x ∈ t := by
induction t <;> simp [*, or_left_comm]
@[simp] theorem mem_reverse {t : RBNode α} : a ∈ t.reverse ↔ a ∈ t := by rw [← mem_toList]; simp
theorem min?_eq_toList_head? {t : RBNode α} : t.min? = t.toList.head? := by
induction t with
| nil => rfl
| node _ l _ _ ih =>
cases l <;> simp [RBNode.min?, ih]
next ll _ _ => cases toList ll <;> rfl
theorem max?_eq_toList_getLast? {t : RBNode α} : t.max? = t.toList.getLast? := by
rw [← min?_reverse, min?_eq_toList_head?]; simp
theorem foldr_eq_foldr_toList {t : RBNode α} : t.foldr f init = t.toList.foldr f init := by
induction t generalizing init <;> simp [*]
| .lake/packages/batteries/Batteries/Data/RBMap/Lemmas.lean | 163 | 164 | theorem foldl_eq_foldl_toList {t : RBNode α} : t.foldl f init = t.toList.foldl f init := by |
induction t generalizing init <;> simp [*]
|
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.RingTheory.Localization.FractionRing
#align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8"
noncomputable section
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ}
section CommRing
variable [CommRing R] [IsDomain R] {p q : R[X]}
section Roots
open Multiset Finset
noncomputable def roots (p : R[X]) : Multiset R :=
haveI := Classical.decEq R
haveI := Classical.dec (p = 0)
if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h)
#align polynomial.roots Polynomial.roots
theorem roots_def [DecidableEq R] (p : R[X]) [Decidable (p = 0)] :
p.roots = if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h) := by
-- porting noteL `‹_›` doesn't work for instance arguments
rename_i iR ip0
obtain rfl := Subsingleton.elim iR (Classical.decEq R)
obtain rfl := Subsingleton.elim ip0 (Classical.dec (p = 0))
rfl
#align polynomial.roots_def Polynomial.roots_def
@[simp]
theorem roots_zero : (0 : R[X]).roots = 0 :=
dif_pos rfl
#align polynomial.roots_zero Polynomial.roots_zero
theorem card_roots (hp0 : p ≠ 0) : (Multiset.card (roots p) : WithBot ℕ) ≤ degree p := by
classical
unfold roots
rw [dif_neg hp0]
exact (Classical.choose_spec (exists_multiset_roots hp0)).1
#align polynomial.card_roots Polynomial.card_roots
theorem card_roots' (p : R[X]) : Multiset.card p.roots ≤ natDegree p := by
by_cases hp0 : p = 0
· simp [hp0]
exact WithBot.coe_le_coe.1 (le_trans (card_roots hp0) (le_of_eq <| degree_eq_natDegree hp0))
#align polynomial.card_roots' Polynomial.card_roots'
theorem card_roots_sub_C {p : R[X]} {a : R} (hp0 : 0 < degree p) :
(Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree p :=
calc
(Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree (p - C a) :=
card_roots <| mt sub_eq_zero.1 fun h => not_le_of_gt hp0 <| h.symm ▸ degree_C_le
_ = degree p := by rw [sub_eq_add_neg, ← C_neg]; exact degree_add_C hp0
set_option linter.uppercaseLean3 false in
#align polynomial.card_roots_sub_C Polynomial.card_roots_sub_C
theorem card_roots_sub_C' {p : R[X]} {a : R} (hp0 : 0 < degree p) :
Multiset.card (p - C a).roots ≤ natDegree p :=
WithBot.coe_le_coe.1
(le_trans (card_roots_sub_C hp0)
(le_of_eq <| degree_eq_natDegree fun h => by simp_all [lt_irrefl]))
set_option linter.uppercaseLean3 false in
#align polynomial.card_roots_sub_C' Polynomial.card_roots_sub_C'
@[simp]
theorem count_roots [DecidableEq R] (p : R[X]) : p.roots.count a = rootMultiplicity a p := by
classical
by_cases hp : p = 0
· simp [hp]
rw [roots_def, dif_neg hp]
exact (Classical.choose_spec (exists_multiset_roots hp)).2 a
#align polynomial.count_roots Polynomial.count_roots
@[simp]
theorem mem_roots' : a ∈ p.roots ↔ p ≠ 0 ∧ IsRoot p a := by
classical
rw [← count_pos, count_roots p, rootMultiplicity_pos']
#align polynomial.mem_roots' Polynomial.mem_roots'
theorem mem_roots (hp : p ≠ 0) : a ∈ p.roots ↔ IsRoot p a :=
mem_roots'.trans <| and_iff_right hp
#align polynomial.mem_roots Polynomial.mem_roots
theorem ne_zero_of_mem_roots (h : a ∈ p.roots) : p ≠ 0 :=
(mem_roots'.1 h).1
#align polynomial.ne_zero_of_mem_roots Polynomial.ne_zero_of_mem_roots
theorem isRoot_of_mem_roots (h : a ∈ p.roots) : IsRoot p a :=
(mem_roots'.1 h).2
#align polynomial.is_root_of_mem_roots Polynomial.isRoot_of_mem_roots
-- Porting note: added during port.
lemma mem_roots_iff_aeval_eq_zero {x : R} (w : p ≠ 0) : x ∈ roots p ↔ aeval x p = 0 := by
rw [mem_roots w, IsRoot.def, aeval_def, eval₂_eq_eval_map]
simp
theorem card_le_degree_of_subset_roots {p : R[X]} {Z : Finset R} (h : Z.val ⊆ p.roots) :
Z.card ≤ p.natDegree :=
(Multiset.card_le_card (Finset.val_le_iff_val_subset.2 h)).trans (Polynomial.card_roots' p)
#align polynomial.card_le_degree_of_subset_roots Polynomial.card_le_degree_of_subset_roots
theorem finite_setOf_isRoot {p : R[X]} (hp : p ≠ 0) : Set.Finite { x | IsRoot p x } := by
classical
simpa only [← Finset.setOf_mem, Multiset.mem_toFinset, mem_roots hp]
using p.roots.toFinset.finite_toSet
#align polynomial.finite_set_of_is_root Polynomial.finite_setOf_isRoot
theorem eq_zero_of_infinite_isRoot (p : R[X]) (h : Set.Infinite { x | IsRoot p x }) : p = 0 :=
not_imp_comm.mp finite_setOf_isRoot h
#align polynomial.eq_zero_of_infinite_is_root Polynomial.eq_zero_of_infinite_isRoot
theorem exists_max_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x ≤ x₀ :=
Set.exists_upper_bound_image _ _ <| finite_setOf_isRoot hp
#align polynomial.exists_max_root Polynomial.exists_max_root
theorem exists_min_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x₀ ≤ x :=
Set.exists_lower_bound_image _ _ <| finite_setOf_isRoot hp
#align polynomial.exists_min_root Polynomial.exists_min_root
theorem eq_of_infinite_eval_eq (p q : R[X]) (h : Set.Infinite { x | eval x p = eval x q }) :
p = q := by
rw [← sub_eq_zero]
apply eq_zero_of_infinite_isRoot
simpa only [IsRoot, eval_sub, sub_eq_zero]
#align polynomial.eq_of_infinite_eval_eq Polynomial.eq_of_infinite_eval_eq
theorem roots_mul {p q : R[X]} (hpq : p * q ≠ 0) : (p * q).roots = p.roots + q.roots := by
classical
exact Multiset.ext.mpr fun r => by
rw [count_add, count_roots, count_roots, count_roots, rootMultiplicity_mul hpq]
#align polynomial.roots_mul Polynomial.roots_mul
theorem roots.le_of_dvd (h : q ≠ 0) : p ∣ q → roots p ≤ roots q := by
rintro ⟨k, rfl⟩
exact Multiset.le_iff_exists_add.mpr ⟨k.roots, roots_mul h⟩
#align polynomial.roots.le_of_dvd Polynomial.roots.le_of_dvd
theorem mem_roots_sub_C' {p : R[X]} {a x : R} : x ∈ (p - C a).roots ↔ p ≠ C a ∧ p.eval x = a := by
rw [mem_roots', IsRoot.def, sub_ne_zero, eval_sub, sub_eq_zero, eval_C]
set_option linter.uppercaseLean3 false in
#align polynomial.mem_roots_sub_C' Polynomial.mem_roots_sub_C'
theorem mem_roots_sub_C {p : R[X]} {a x : R} (hp0 : 0 < degree p) :
x ∈ (p - C a).roots ↔ p.eval x = a :=
mem_roots_sub_C'.trans <| and_iff_right fun hp => hp0.not_le <| hp.symm ▸ degree_C_le
set_option linter.uppercaseLean3 false in
#align polynomial.mem_roots_sub_C Polynomial.mem_roots_sub_C
@[simp]
theorem roots_X_sub_C (r : R) : roots (X - C r) = {r} := by
classical
ext s
rw [count_roots, rootMultiplicity_X_sub_C, count_singleton]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_X_sub_C Polynomial.roots_X_sub_C
@[simp]
theorem roots_X : roots (X : R[X]) = {0} := by rw [← roots_X_sub_C, C_0, sub_zero]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_X Polynomial.roots_X
@[simp]
theorem roots_C (x : R) : (C x).roots = 0 := by
classical exact
if H : x = 0 then by rw [H, C_0, roots_zero]
else
Multiset.ext.mpr fun r => (by
rw [count_roots, count_zero, rootMultiplicity_eq_zero (not_isRoot_C _ _ H)])
set_option linter.uppercaseLean3 false in
#align polynomial.roots_C Polynomial.roots_C
@[simp]
theorem roots_one : (1 : R[X]).roots = ∅ :=
roots_C 1
#align polynomial.roots_one Polynomial.roots_one
@[simp]
theorem roots_C_mul (p : R[X]) (ha : a ≠ 0) : (C a * p).roots = p.roots := by
by_cases hp : p = 0 <;>
simp only [roots_mul, *, Ne, mul_eq_zero, C_eq_zero, or_self_iff, not_false_iff, roots_C,
zero_add, mul_zero]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_C_mul Polynomial.roots_C_mul
@[simp]
theorem roots_smul_nonzero (p : R[X]) (ha : a ≠ 0) : (a • p).roots = p.roots := by
rw [smul_eq_C_mul, roots_C_mul _ ha]
#align polynomial.roots_smul_nonzero Polynomial.roots_smul_nonzero
@[simp]
lemma roots_neg (p : R[X]) : (-p).roots = p.roots := by
rw [← neg_one_smul R p, roots_smul_nonzero p (neg_ne_zero.mpr one_ne_zero)]
theorem roots_list_prod (L : List R[X]) :
(0 : R[X]) ∉ L → L.prod.roots = (L : Multiset R[X]).bind roots :=
List.recOn L (fun _ => roots_one) fun hd tl ih H => by
rw [List.mem_cons, not_or] at H
rw [List.prod_cons, roots_mul (mul_ne_zero (Ne.symm H.1) <| List.prod_ne_zero H.2), ←
Multiset.cons_coe, Multiset.cons_bind, ih H.2]
#align polynomial.roots_list_prod Polynomial.roots_list_prod
theorem roots_multiset_prod (m : Multiset R[X]) : (0 : R[X]) ∉ m → m.prod.roots = m.bind roots := by
rcases m with ⟨L⟩
simpa only [Multiset.prod_coe, quot_mk_to_coe''] using roots_list_prod L
#align polynomial.roots_multiset_prod Polynomial.roots_multiset_prod
theorem roots_prod {ι : Type*} (f : ι → R[X]) (s : Finset ι) :
s.prod f ≠ 0 → (s.prod f).roots = s.val.bind fun i => roots (f i) := by
rcases s with ⟨m, hm⟩
simpa [Multiset.prod_eq_zero_iff, Multiset.bind_map] using roots_multiset_prod (m.map f)
#align polynomial.roots_prod Polynomial.roots_prod
@[simp]
theorem roots_pow (p : R[X]) (n : ℕ) : (p ^ n).roots = n • p.roots := by
induction' n with n ihn
· rw [pow_zero, roots_one, zero_smul, empty_eq_zero]
· rcases eq_or_ne p 0 with (rfl | hp)
· rw [zero_pow n.succ_ne_zero, roots_zero, smul_zero]
· rw [pow_succ, roots_mul (mul_ne_zero (pow_ne_zero _ hp) hp), ihn, add_smul, one_smul]
#align polynomial.roots_pow Polynomial.roots_pow
theorem roots_X_pow (n : ℕ) : (X ^ n : R[X]).roots = n • ({0} : Multiset R) := by
rw [roots_pow, roots_X]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_X_pow Polynomial.roots_X_pow
theorem roots_C_mul_X_pow (ha : a ≠ 0) (n : ℕ) :
Polynomial.roots (C a * X ^ n) = n • ({0} : Multiset R) := by
rw [roots_C_mul _ ha, roots_X_pow]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_C_mul_X_pow Polynomial.roots_C_mul_X_pow
@[simp]
theorem roots_monomial (ha : a ≠ 0) (n : ℕ) : (monomial n a).roots = n • ({0} : Multiset R) := by
rw [← C_mul_X_pow_eq_monomial, roots_C_mul_X_pow ha]
#align polynomial.roots_monomial Polynomial.roots_monomial
theorem roots_prod_X_sub_C (s : Finset R) : (s.prod fun a => X - C a).roots = s.val := by
apply (roots_prod (fun a => X - C a) s ?_).trans
· simp_rw [roots_X_sub_C]
rw [Multiset.bind_singleton, Multiset.map_id']
· refine prod_ne_zero_iff.mpr (fun a _ => X_sub_C_ne_zero a)
set_option linter.uppercaseLean3 false in
#align polynomial.roots_prod_X_sub_C Polynomial.roots_prod_X_sub_C
@[simp]
theorem roots_multiset_prod_X_sub_C (s : Multiset R) : (s.map fun a => X - C a).prod.roots = s := by
rw [roots_multiset_prod, Multiset.bind_map]
· simp_rw [roots_X_sub_C]
rw [Multiset.bind_singleton, Multiset.map_id']
· rw [Multiset.mem_map]
rintro ⟨a, -, h⟩
exact X_sub_C_ne_zero a h
set_option linter.uppercaseLean3 false in
#align polynomial.roots_multiset_prod_X_sub_C Polynomial.roots_multiset_prod_X_sub_C
theorem card_roots_X_pow_sub_C {n : ℕ} (hn : 0 < n) (a : R) :
Multiset.card (roots ((X : R[X]) ^ n - C a)) ≤ n :=
WithBot.coe_le_coe.1 <|
calc
(Multiset.card (roots ((X : R[X]) ^ n - C a)) : WithBot ℕ) ≤ degree ((X : R[X]) ^ n - C a) :=
card_roots (X_pow_sub_C_ne_zero hn a)
_ = n := degree_X_pow_sub_C hn a
set_option linter.uppercaseLean3 false in
#align polynomial.card_roots_X_pow_sub_C Polynomial.card_roots_X_pow_sub_C
theorem zero_of_eval_zero [Infinite R] (p : R[X]) (h : ∀ x, p.eval x = 0) : p = 0 := by
classical
by_contra hp
refine @Fintype.false R _ ?_
exact ⟨p.roots.toFinset, fun x => Multiset.mem_toFinset.mpr ((mem_roots hp).mpr (h _))⟩
#align polynomial.zero_of_eval_zero Polynomial.zero_of_eval_zero
theorem funext [Infinite R] {p q : R[X]} (ext : ∀ r : R, p.eval r = q.eval r) : p = q := by
rw [← sub_eq_zero]
apply zero_of_eval_zero
intro x
rw [eval_sub, sub_eq_zero, ext]
#align polynomial.funext Polynomial.funext
variable [CommRing T]
noncomputable abbrev aroots (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] : Multiset S :=
(p.map (algebraMap T S)).roots
theorem aroots_def (p : T[X]) (S) [CommRing S] [IsDomain S] [Algebra T S] :
p.aroots S = (p.map (algebraMap T S)).roots :=
rfl
theorem mem_aroots' [CommRing S] [IsDomain S] [Algebra T S] {p : T[X]} {a : S} :
a ∈ p.aroots S ↔ p.map (algebraMap T S) ≠ 0 ∧ aeval a p = 0 := by
rw [mem_roots', IsRoot.def, ← eval₂_eq_eval_map, aeval_def]
theorem mem_aroots [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {p : T[X]} {a : S} : a ∈ p.aroots S ↔ p ≠ 0 ∧ aeval a p = 0 := by
rw [mem_aroots', Polynomial.map_ne_zero_iff]
exact NoZeroSMulDivisors.algebraMap_injective T S
theorem aroots_mul [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {p q : T[X]} (hpq : p * q ≠ 0) :
(p * q).aroots S = p.aroots S + q.aroots S := by
suffices map (algebraMap T S) p * map (algebraMap T S) q ≠ 0 by
rw [aroots_def, Polynomial.map_mul, roots_mul this]
rwa [← Polynomial.map_mul, Polynomial.map_ne_zero_iff
(NoZeroSMulDivisors.algebraMap_injective T S)]
@[simp]
theorem aroots_X_sub_C [CommRing S] [IsDomain S] [Algebra T S]
(r : T) : aroots (X - C r) S = {algebraMap T S r} := by
rw [aroots_def, Polynomial.map_sub, map_X, map_C, roots_X_sub_C]
@[simp]
theorem aroots_X [CommRing S] [IsDomain S] [Algebra T S] :
aroots (X : T[X]) S = {0} := by
rw [aroots_def, map_X, roots_X]
@[simp]
theorem aroots_C [CommRing S] [IsDomain S] [Algebra T S] (a : T) : (C a).aroots S = 0 := by
rw [aroots_def, map_C, roots_C]
@[simp]
theorem aroots_zero (S) [CommRing S] [IsDomain S] [Algebra T S] : (0 : T[X]).aroots S = 0 := by
rw [← C_0, aroots_C]
@[simp]
theorem aroots_one [CommRing S] [IsDomain S] [Algebra T S] :
(1 : T[X]).aroots S = 0 :=
aroots_C 1
@[simp]
theorem aroots_neg [CommRing S] [IsDomain S] [Algebra T S] (p : T[X]) :
(-p).aroots S = p.aroots S := by
rw [aroots, Polynomial.map_neg, roots_neg]
@[simp]
theorem aroots_C_mul [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {a : T} (p : T[X]) (ha : a ≠ 0) :
(C a * p).aroots S = p.aroots S := by
rw [aroots_def, Polynomial.map_mul, map_C, roots_C_mul]
rwa [map_ne_zero_iff]
exact NoZeroSMulDivisors.algebraMap_injective T S
@[simp]
theorem aroots_smul_nonzero [CommRing S] [IsDomain S] [Algebra T S]
[NoZeroSMulDivisors T S] {a : T} (p : T[X]) (ha : a ≠ 0) :
(a • p).aroots S = p.aroots S := by
rw [smul_eq_C_mul, aroots_C_mul _ ha]
@[simp]
| Mathlib/Algebra/Polynomial/Roots.lean | 480 | 482 | theorem aroots_pow [CommRing S] [IsDomain S] [Algebra T S] (p : T[X]) (n : ℕ) :
(p ^ n).aroots S = n • p.aroots S := by |
rw [aroots_def, Polynomial.map_pow, roots_pow]
|
import Mathlib.Data.ZMod.Quotient
#align_import group_theory.complement from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f"
open Set
open scoped Pointwise
namespace Subgroup
variable {G : Type*} [Group G] (H K : Subgroup G) (S T : Set G)
@[to_additive "`S` and `T` are complements if `(+) : S × T → G` is a bijection"]
def IsComplement : Prop :=
Function.Bijective fun x : S × T => x.1.1 * x.2.1
#align subgroup.is_complement Subgroup.IsComplement
#align add_subgroup.is_complement AddSubgroup.IsComplement
@[to_additive "`H` and `K` are complements if `(+) : H × K → G` is a bijection"]
abbrev IsComplement' :=
IsComplement (H : Set G) (K : Set G)
#align subgroup.is_complement' Subgroup.IsComplement'
#align add_subgroup.is_complement' AddSubgroup.IsComplement'
@[to_additive "The set of left-complements of `T : Set G`"]
def leftTransversals : Set (Set G) :=
{ S : Set G | IsComplement S T }
#align subgroup.left_transversals Subgroup.leftTransversals
#align add_subgroup.left_transversals AddSubgroup.leftTransversals
@[to_additive "The set of right-complements of `S : Set G`"]
def rightTransversals : Set (Set G) :=
{ T : Set G | IsComplement S T }
#align subgroup.right_transversals Subgroup.rightTransversals
#align add_subgroup.right_transversals AddSubgroup.rightTransversals
variable {H K S T}
@[to_additive]
theorem isComplement'_def : IsComplement' H K ↔ IsComplement (H : Set G) (K : Set G) :=
Iff.rfl
#align subgroup.is_complement'_def Subgroup.isComplement'_def
#align add_subgroup.is_complement'_def AddSubgroup.isComplement'_def
@[to_additive]
theorem isComplement_iff_existsUnique :
IsComplement S T ↔ ∀ g : G, ∃! x : S × T, x.1.1 * x.2.1 = g :=
Function.bijective_iff_existsUnique _
#align subgroup.is_complement_iff_exists_unique Subgroup.isComplement_iff_existsUnique
#align add_subgroup.is_complement_iff_exists_unique AddSubgroup.isComplement_iff_existsUnique
@[to_additive]
theorem IsComplement.existsUnique (h : IsComplement S T) (g : G) :
∃! x : S × T, x.1.1 * x.2.1 = g :=
isComplement_iff_existsUnique.mp h g
#align subgroup.is_complement.exists_unique Subgroup.IsComplement.existsUnique
#align add_subgroup.is_complement.exists_unique AddSubgroup.IsComplement.existsUnique
@[to_additive]
theorem IsComplement'.symm (h : IsComplement' H K) : IsComplement' K H := by
let ϕ : H × K ≃ K × H :=
Equiv.mk (fun x => ⟨x.2⁻¹, x.1⁻¹⟩) (fun x => ⟨x.2⁻¹, x.1⁻¹⟩)
(fun x => Prod.ext (inv_inv _) (inv_inv _)) fun x => Prod.ext (inv_inv _) (inv_inv _)
let ψ : G ≃ G := Equiv.mk (fun g : G => g⁻¹) (fun g : G => g⁻¹) inv_inv inv_inv
suffices hf : (ψ ∘ fun x : H × K => x.1.1 * x.2.1) = (fun x : K × H => x.1.1 * x.2.1) ∘ ϕ by
rw [isComplement'_def, IsComplement, ← Equiv.bijective_comp ϕ]
apply (congr_arg Function.Bijective hf).mp -- Porting note: This was a `rw` in mathlib3
rwa [ψ.comp_bijective]
exact funext fun x => mul_inv_rev _ _
#align subgroup.is_complement'.symm Subgroup.IsComplement'.symm
#align add_subgroup.is_complement'.symm AddSubgroup.IsComplement'.symm
@[to_additive]
theorem isComplement'_comm : IsComplement' H K ↔ IsComplement' K H :=
⟨IsComplement'.symm, IsComplement'.symm⟩
#align subgroup.is_complement'_comm Subgroup.isComplement'_comm
#align add_subgroup.is_complement'_comm AddSubgroup.isComplement'_comm
@[to_additive]
theorem isComplement_univ_singleton {g : G} : IsComplement (univ : Set G) {g} :=
⟨fun ⟨_, _, rfl⟩ ⟨_, _, rfl⟩ h => Prod.ext (Subtype.ext (mul_right_cancel h)) rfl, fun x =>
⟨⟨⟨x * g⁻¹, ⟨⟩⟩, g, rfl⟩, inv_mul_cancel_right x g⟩⟩
#align subgroup.is_complement_top_singleton Subgroup.isComplement_univ_singleton
#align add_subgroup.is_complement_top_singleton AddSubgroup.isComplement_univ_singleton
@[to_additive]
theorem isComplement_singleton_univ {g : G} : IsComplement ({g} : Set G) univ :=
⟨fun ⟨⟨_, rfl⟩, _⟩ ⟨⟨_, rfl⟩, _⟩ h => Prod.ext rfl (Subtype.ext (mul_left_cancel h)), fun x =>
⟨⟨⟨g, rfl⟩, g⁻¹ * x, ⟨⟩⟩, mul_inv_cancel_left g x⟩⟩
#align subgroup.is_complement_singleton_top Subgroup.isComplement_singleton_univ
#align add_subgroup.is_complement_singleton_top AddSubgroup.isComplement_singleton_univ
@[to_additive]
theorem isComplement_singleton_left {g : G} : IsComplement {g} S ↔ S = univ := by
refine
⟨fun h => top_le_iff.mp fun x _ => ?_, fun h => (congr_arg _ h).mpr isComplement_singleton_univ⟩
obtain ⟨⟨⟨z, rfl : z = g⟩, y, _⟩, hy⟩ := h.2 (g * x)
rwa [← mul_left_cancel hy]
#align subgroup.is_complement_singleton_left Subgroup.isComplement_singleton_left
#align add_subgroup.is_complement_singleton_left AddSubgroup.isComplement_singleton_left
@[to_additive]
theorem isComplement_singleton_right {g : G} : IsComplement S {g} ↔ S = univ := by
refine
⟨fun h => top_le_iff.mp fun x _ => ?_, fun h => h ▸ isComplement_univ_singleton⟩
obtain ⟨y, hy⟩ := h.2 (x * g)
conv_rhs at hy => rw [← show y.2.1 = g from y.2.2]
rw [← mul_right_cancel hy]
exact y.1.2
#align subgroup.is_complement_singleton_right Subgroup.isComplement_singleton_right
#align add_subgroup.is_complement_singleton_right AddSubgroup.isComplement_singleton_right
@[to_additive]
theorem isComplement_univ_left : IsComplement univ S ↔ ∃ g : G, S = {g} := by
refine
⟨fun h => Set.exists_eq_singleton_iff_nonempty_subsingleton.mpr ⟨?_, fun a ha b hb => ?_⟩, ?_⟩
· obtain ⟨a, _⟩ := h.2 1
exact ⟨a.2.1, a.2.2⟩
· have : (⟨⟨_, mem_top a⁻¹⟩, ⟨a, ha⟩⟩ : (⊤ : Set G) × S) = ⟨⟨_, mem_top b⁻¹⟩, ⟨b, hb⟩⟩ :=
h.1 ((inv_mul_self a).trans (inv_mul_self b).symm)
exact Subtype.ext_iff.mp (Prod.ext_iff.mp this).2
· rintro ⟨g, rfl⟩
exact isComplement_univ_singleton
#align subgroup.is_complement_top_left Subgroup.isComplement_univ_left
#align add_subgroup.is_complement_top_left AddSubgroup.isComplement_univ_left
@[to_additive]
theorem isComplement_univ_right : IsComplement S univ ↔ ∃ g : G, S = {g} := by
refine
⟨fun h => Set.exists_eq_singleton_iff_nonempty_subsingleton.mpr ⟨?_, fun a ha b hb => ?_⟩, ?_⟩
· obtain ⟨a, _⟩ := h.2 1
exact ⟨a.1.1, a.1.2⟩
· have : (⟨⟨a, ha⟩, ⟨_, mem_top a⁻¹⟩⟩ : S × (⊤ : Set G)) = ⟨⟨b, hb⟩, ⟨_, mem_top b⁻¹⟩⟩ :=
h.1 ((mul_inv_self a).trans (mul_inv_self b).symm)
exact Subtype.ext_iff.mp (Prod.ext_iff.mp this).1
· rintro ⟨g, rfl⟩
exact isComplement_singleton_univ
#align subgroup.is_complement_top_right Subgroup.isComplement_univ_right
#align add_subgroup.is_complement_top_right AddSubgroup.isComplement_univ_right
@[to_additive]
lemma IsComplement.mul_eq (h : IsComplement S T) : S * T = univ :=
eq_univ_of_forall fun x ↦ by simpa [mem_mul] using (h.existsUnique x).exists
@[to_additive AddSubgroup.IsComplement.card_mul_card]
lemma IsComplement.card_mul_card (h : IsComplement S T) : Nat.card S * Nat.card T = Nat.card G :=
(Nat.card_prod _ _).symm.trans <| Nat.card_congr <| Equiv.ofBijective _ h
@[to_additive]
theorem isComplement'_top_bot : IsComplement' (⊤ : Subgroup G) ⊥ :=
isComplement_univ_singleton
#align subgroup.is_complement'_top_bot Subgroup.isComplement'_top_bot
#align add_subgroup.is_complement'_top_bot AddSubgroup.isComplement'_top_bot
@[to_additive]
theorem isComplement'_bot_top : IsComplement' (⊥ : Subgroup G) ⊤ :=
isComplement_singleton_univ
#align subgroup.is_complement'_bot_top Subgroup.isComplement'_bot_top
#align add_subgroup.is_complement'_bot_top AddSubgroup.isComplement'_bot_top
@[to_additive (attr := simp)]
theorem isComplement'_bot_left : IsComplement' ⊥ H ↔ H = ⊤ :=
isComplement_singleton_left.trans coe_eq_univ
#align subgroup.is_complement'_bot_left Subgroup.isComplement'_bot_left
#align add_subgroup.is_complement'_bot_left AddSubgroup.isComplement'_bot_left
@[to_additive (attr := simp)]
theorem isComplement'_bot_right : IsComplement' H ⊥ ↔ H = ⊤ :=
isComplement_singleton_right.trans coe_eq_univ
#align subgroup.is_complement'_bot_right Subgroup.isComplement'_bot_right
#align add_subgroup.is_complement'_bot_right AddSubgroup.isComplement'_bot_right
@[to_additive (attr := simp)]
theorem isComplement'_top_left : IsComplement' ⊤ H ↔ H = ⊥ :=
isComplement_univ_left.trans coe_eq_singleton
#align subgroup.is_complement'_top_left Subgroup.isComplement'_top_left
#align add_subgroup.is_complement'_top_left AddSubgroup.isComplement'_top_left
@[to_additive (attr := simp)]
theorem isComplement'_top_right : IsComplement' H ⊤ ↔ H = ⊥ :=
isComplement_univ_right.trans coe_eq_singleton
#align subgroup.is_complement'_top_right Subgroup.isComplement'_top_right
#align add_subgroup.is_complement'_top_right AddSubgroup.isComplement'_top_right
@[to_additive]
theorem mem_leftTransversals_iff_existsUnique_inv_mul_mem :
S ∈ leftTransversals T ↔ ∀ g : G, ∃! s : S, (s : G)⁻¹ * g ∈ T := by
rw [leftTransversals, Set.mem_setOf_eq, isComplement_iff_existsUnique]
refine ⟨fun h g => ?_, fun h g => ?_⟩
· obtain ⟨x, h1, h2⟩ := h g
exact
⟨x.1, (congr_arg (· ∈ T) (eq_inv_mul_of_mul_eq h1)).mp x.2.2, fun y hy =>
(Prod.ext_iff.mp (h2 ⟨y, (↑y)⁻¹ * g, hy⟩ (mul_inv_cancel_left ↑y g))).1⟩
· obtain ⟨x, h1, h2⟩ := h g
refine ⟨⟨x, (↑x)⁻¹ * g, h1⟩, mul_inv_cancel_left (↑x) g, fun y hy => ?_⟩
have hf := h2 y.1 ((congr_arg (· ∈ T) (eq_inv_mul_of_mul_eq hy)).mp y.2.2)
exact Prod.ext hf (Subtype.ext (eq_inv_mul_of_mul_eq (hf ▸ hy)))
#align subgroup.mem_left_transversals_iff_exists_unique_inv_mul_mem Subgroup.mem_leftTransversals_iff_existsUnique_inv_mul_mem
#align add_subgroup.mem_left_transversals_iff_exists_unique_neg_add_mem AddSubgroup.mem_leftTransversals_iff_existsUnique_neg_add_mem
@[to_additive]
theorem mem_rightTransversals_iff_existsUnique_mul_inv_mem :
S ∈ rightTransversals T ↔ ∀ g : G, ∃! s : S, g * (s : G)⁻¹ ∈ T := by
rw [rightTransversals, Set.mem_setOf_eq, isComplement_iff_existsUnique]
refine ⟨fun h g => ?_, fun h g => ?_⟩
· obtain ⟨x, h1, h2⟩ := h g
exact
⟨x.2, (congr_arg (· ∈ T) (eq_mul_inv_of_mul_eq h1)).mp x.1.2, fun y hy =>
(Prod.ext_iff.mp (h2 ⟨⟨g * (↑y)⁻¹, hy⟩, y⟩ (inv_mul_cancel_right g y))).2⟩
· obtain ⟨x, h1, h2⟩ := h g
refine ⟨⟨⟨g * (↑x)⁻¹, h1⟩, x⟩, inv_mul_cancel_right g x, fun y hy => ?_⟩
have hf := h2 y.2 ((congr_arg (· ∈ T) (eq_mul_inv_of_mul_eq hy)).mp y.1.2)
exact Prod.ext (Subtype.ext (eq_mul_inv_of_mul_eq (hf ▸ hy))) hf
#align subgroup.mem_right_transversals_iff_exists_unique_mul_inv_mem Subgroup.mem_rightTransversals_iff_existsUnique_mul_inv_mem
#align add_subgroup.mem_right_transversals_iff_exists_unique_add_neg_mem AddSubgroup.mem_rightTransversals_iff_existsUnique_add_neg_mem
@[to_additive]
theorem mem_leftTransversals_iff_existsUnique_quotient_mk''_eq :
S ∈ leftTransversals (H : Set G) ↔
∀ q : Quotient (QuotientGroup.leftRel H), ∃! s : S, Quotient.mk'' s.1 = q := by
simp_rw [mem_leftTransversals_iff_existsUnique_inv_mul_mem, SetLike.mem_coe, ←
QuotientGroup.eq']
exact ⟨fun h q => Quotient.inductionOn' q h, fun h g => h (Quotient.mk'' g)⟩
#align subgroup.mem_left_transversals_iff_exists_unique_quotient_mk'_eq Subgroup.mem_leftTransversals_iff_existsUnique_quotient_mk''_eq
#align add_subgroup.mem_left_transversals_iff_exists_unique_quotient_mk'_eq AddSubgroup.mem_leftTransversals_iff_existsUnique_quotient_mk''_eq
@[to_additive]
theorem mem_rightTransversals_iff_existsUnique_quotient_mk''_eq :
S ∈ rightTransversals (H : Set G) ↔
∀ q : Quotient (QuotientGroup.rightRel H), ∃! s : S, Quotient.mk'' s.1 = q := by
simp_rw [mem_rightTransversals_iff_existsUnique_mul_inv_mem, SetLike.mem_coe, ←
QuotientGroup.rightRel_apply, ← Quotient.eq'']
exact ⟨fun h q => Quotient.inductionOn' q h, fun h g => h (Quotient.mk'' g)⟩
#align subgroup.mem_right_transversals_iff_exists_unique_quotient_mk'_eq Subgroup.mem_rightTransversals_iff_existsUnique_quotient_mk''_eq
#align add_subgroup.mem_right_transversals_iff_exists_unique_quotient_mk'_eq AddSubgroup.mem_rightTransversals_iff_existsUnique_quotient_mk''_eq
@[to_additive]
theorem mem_leftTransversals_iff_bijective :
S ∈ leftTransversals (H : Set G) ↔
Function.Bijective (S.restrict (Quotient.mk'' : G → Quotient (QuotientGroup.leftRel H))) :=
mem_leftTransversals_iff_existsUnique_quotient_mk''_eq.trans
(Function.bijective_iff_existsUnique (S.restrict Quotient.mk'')).symm
#align subgroup.mem_left_transversals_iff_bijective Subgroup.mem_leftTransversals_iff_bijective
#align add_subgroup.mem_left_transversals_iff_bijective AddSubgroup.mem_leftTransversals_iff_bijective
@[to_additive]
theorem mem_rightTransversals_iff_bijective :
S ∈ rightTransversals (H : Set G) ↔
Function.Bijective (S.restrict (Quotient.mk'' : G → Quotient (QuotientGroup.rightRel H))) :=
mem_rightTransversals_iff_existsUnique_quotient_mk''_eq.trans
(Function.bijective_iff_existsUnique (S.restrict Quotient.mk'')).symm
#align subgroup.mem_right_transversals_iff_bijective Subgroup.mem_rightTransversals_iff_bijective
#align add_subgroup.mem_right_transversals_iff_bijective AddSubgroup.mem_rightTransversals_iff_bijective
@[to_additive]
theorem card_left_transversal (h : S ∈ leftTransversals (H : Set G)) : Nat.card S = H.index :=
Nat.card_congr <| Equiv.ofBijective _ <| mem_leftTransversals_iff_bijective.mp h
#align subgroup.card_left_transversal Subgroup.card_left_transversal
#align add_subgroup.card_left_transversal AddSubgroup.card_left_transversal
@[to_additive]
theorem card_right_transversal (h : S ∈ rightTransversals (H : Set G)) : Nat.card S = H.index :=
Nat.card_congr <|
(Equiv.ofBijective _ <| mem_rightTransversals_iff_bijective.mp h).trans <|
QuotientGroup.quotientRightRelEquivQuotientLeftRel H
#align subgroup.card_right_transversal Subgroup.card_right_transversal
#align add_subgroup.card_right_transversal AddSubgroup.card_right_transversal
@[to_additive]
theorem range_mem_leftTransversals {f : G ⧸ H → G} (hf : ∀ q, ↑(f q) = q) :
Set.range f ∈ leftTransversals (H : Set G) :=
mem_leftTransversals_iff_bijective.mpr
⟨by rintro ⟨-, q₁, rfl⟩ ⟨-, q₂, rfl⟩ h
exact Subtype.ext <| congr_arg f <| ((hf q₁).symm.trans h).trans (hf q₂),
fun q => ⟨⟨f q, q, rfl⟩, hf q⟩⟩
#align subgroup.range_mem_left_transversals Subgroup.range_mem_leftTransversals
#align add_subgroup.range_mem_left_transversals AddSubgroup.range_mem_leftTransversals
@[to_additive]
theorem range_mem_rightTransversals {f : Quotient (QuotientGroup.rightRel H) → G}
(hf : ∀ q, Quotient.mk'' (f q) = q) : Set.range f ∈ rightTransversals (H : Set G) :=
mem_rightTransversals_iff_bijective.mpr
⟨by rintro ⟨-, q₁, rfl⟩ ⟨-, q₂, rfl⟩ h
exact Subtype.ext <| congr_arg f <| ((hf q₁).symm.trans h).trans (hf q₂),
fun q => ⟨⟨f q, q, rfl⟩, hf q⟩⟩
#align subgroup.range_mem_right_transversals Subgroup.range_mem_rightTransversals
#align add_subgroup.range_mem_right_transversals AddSubgroup.range_mem_rightTransversals
@[to_additive]
lemma exists_left_transversal (H : Subgroup G) (g : G) :
∃ S ∈ leftTransversals (H : Set G), g ∈ S := by
classical
refine
⟨Set.range (Function.update Quotient.out' _ g), range_mem_leftTransversals fun q => ?_,
Quotient.mk'' g, Function.update_same (Quotient.mk'' g) g Quotient.out'⟩
by_cases hq : q = Quotient.mk'' g
· exact hq.symm ▸ congr_arg _ (Function.update_same (Quotient.mk'' g) g Quotient.out')
· refine (Function.update_noteq ?_ g Quotient.out') ▸ q.out_eq'
exact hq
#align subgroup.exists_left_transversal Subgroup.exists_left_transversal
#align add_subgroup.exists_left_transversal AddSubgroup.exists_left_transversal
@[to_additive]
lemma exists_right_transversal (H : Subgroup G) (g : G) :
∃ S ∈ rightTransversals (H : Set G), g ∈ S := by
classical
refine
⟨Set.range (Function.update Quotient.out' _ g), range_mem_rightTransversals fun q => ?_,
Quotient.mk'' g, Function.update_same (Quotient.mk'' g) g Quotient.out'⟩
by_cases hq : q = Quotient.mk'' g
· exact hq.symm ▸ congr_arg _ (Function.update_same (Quotient.mk'' g) g Quotient.out')
· exact Eq.trans (congr_arg _ (Function.update_noteq hq g Quotient.out')) q.out_eq'
#align subgroup.exists_right_transversal Subgroup.exists_right_transversal
#align add_subgroup.exists_right_transversal AddSubgroup.exists_right_transversal
@[to_additive "Given two subgroups `H' ⊆ H`, there exists a transversal to `H'` inside `H`"]
lemma exists_left_transversal_of_le {H' H : Subgroup G} (h : H' ≤ H) :
∃ S : Set G, S * H' = H ∧ Nat.card S * Nat.card H' = Nat.card H := by
let H'' : Subgroup H := H'.comap H.subtype
have : H' = H''.map H.subtype := by simp [H'', h]
rw [this]
obtain ⟨S, cmem, -⟩ := H''.exists_left_transversal 1
refine ⟨H.subtype '' S, ?_, ?_⟩
· have : H.subtype '' (S * H'') = H.subtype '' S * H''.map H.subtype := image_mul H.subtype
rw [← this, cmem.mul_eq]
simp [Set.ext_iff]
· rw [← cmem.card_mul_card]
refine congr_arg₂ (· * ·) ?_ ?_ <;>
exact Nat.card_congr (Equiv.Set.image _ _ <| subtype_injective H).symm
@[to_additive "Given two subgroups `H' ⊆ H`, there exists a transversal to `H'` inside `H`"]
lemma exists_right_transversal_of_le {H' H : Subgroup G} (h : H' ≤ H) :
∃ S : Set G, H' * S = H ∧ Nat.card H' * Nat.card S = Nat.card H := by
let H'' : Subgroup H := H'.comap H.subtype
have : H' = H''.map H.subtype := by simp [H'', h]
rw [this]
obtain ⟨S, cmem, -⟩ := H''.exists_right_transversal 1
refine ⟨H.subtype '' S, ?_, ?_⟩
· have : H.subtype '' (H'' * S) = H''.map H.subtype * H.subtype '' S := image_mul H.subtype
rw [← this, cmem.mul_eq]
simp [Set.ext_iff]
· have : Nat.card H'' * Nat.card S = Nat.card H := cmem.card_mul_card
rw [← this]
refine congr_arg₂ (· * ·) ?_ ?_ <;>
exact Nat.card_congr (Equiv.Set.image _ _ <| subtype_injective H).symm
namespace MemRightTransversals
@[to_additive "A right transversal is in bijection with right cosets."]
noncomputable def toEquiv (hS : S ∈ Subgroup.rightTransversals (H : Set G)) :
Quotient (QuotientGroup.rightRel H) ≃ S :=
(Equiv.ofBijective _ (Subgroup.mem_rightTransversals_iff_bijective.mp hS)).symm
#align subgroup.mem_right_transversals.to_equiv Subgroup.MemRightTransversals.toEquiv
#align add_subgroup.mem_right_transversals.to_equiv AddSubgroup.MemRightTransversals.toEquiv
@[to_additive]
theorem mk''_toEquiv (hS : S ∈ Subgroup.rightTransversals (H : Set G))
(q : Quotient (QuotientGroup.rightRel H)) : Quotient.mk'' (toEquiv hS q : G) = q :=
(toEquiv hS).symm_apply_apply q
#align subgroup.mem_right_transversals.mk'_to_equiv Subgroup.MemRightTransversals.mk''_toEquiv
#align add_subgroup.mem_right_transversals.mk'_to_equiv AddSubgroup.MemRightTransversals.mk''_toEquiv
@[to_additive]
| Mathlib/GroupTheory/Complement.lean | 591 | 595 | theorem toEquiv_apply {f : Quotient (QuotientGroup.rightRel H) → G}
(hf : ∀ q, Quotient.mk'' (f q) = q) (q : Quotient (QuotientGroup.rightRel H)) :
(toEquiv (range_mem_rightTransversals hf) q : G) = f q := by |
refine (Subtype.ext_iff.mp ?_).trans (Subtype.coe_mk (f q) ⟨q, rfl⟩)
exact (toEquiv (range_mem_rightTransversals hf)).apply_eq_iff_eq_symm_apply.mpr (hf q).symm
|
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
| Mathlib/Analysis/Calculus/IteratedDeriv/Defs.lean | 84 | 86 | 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
|
import Mathlib.Data.Finset.Sigma
import Mathlib.Data.Finset.Pairwise
import Mathlib.Data.Finset.Powerset
import Mathlib.Data.Fintype.Basic
import Mathlib.Order.CompleteLatticeIntervals
#align_import order.sup_indep from "leanprover-community/mathlib"@"c4c2ed622f43768eff32608d4a0f8a6cec1c047d"
variable {α β ι ι' : Type*}
namespace Finset
section Lattice
variable [Lattice α] [OrderBot α]
def SupIndep (s : Finset ι) (f : ι → α) : Prop :=
∀ ⦃t⦄, t ⊆ s → ∀ ⦃i⦄, i ∈ s → i ∉ t → Disjoint (f i) (t.sup f)
#align finset.sup_indep Finset.SupIndep
variable {s t : Finset ι} {f : ι → α} {i : ι}
instance [DecidableEq ι] [DecidableEq α] : Decidable (SupIndep s f) := by
refine @Finset.decidableForallOfDecidableSubsets _ _ _ (?_)
rintro t -
refine @Finset.decidableDforallFinset _ _ _ (?_)
rintro i -
have : Decidable (Disjoint (f i) (sup t f)) := decidable_of_iff' (_ = ⊥) disjoint_iff
infer_instance
theorem SupIndep.subset (ht : t.SupIndep f) (h : s ⊆ t) : s.SupIndep f := fun _ hu _ hi =>
ht (hu.trans h) (h hi)
#align finset.sup_indep.subset Finset.SupIndep.subset
@[simp]
theorem supIndep_empty (f : ι → α) : (∅ : Finset ι).SupIndep f := fun _ _ a ha =>
(not_mem_empty a ha).elim
#align finset.sup_indep_empty Finset.supIndep_empty
theorem supIndep_singleton (i : ι) (f : ι → α) : ({i} : Finset ι).SupIndep f :=
fun s hs j hji hj => by
rw [eq_empty_of_ssubset_singleton ⟨hs, fun h => hj (h hji)⟩, sup_empty]
exact disjoint_bot_right
#align finset.sup_indep_singleton Finset.supIndep_singleton
theorem SupIndep.pairwiseDisjoint (hs : s.SupIndep f) : (s : Set ι).PairwiseDisjoint f :=
fun _ ha _ hb hab =>
sup_singleton.subst <| hs (singleton_subset_iff.2 hb) ha <| not_mem_singleton.2 hab
#align finset.sup_indep.pairwise_disjoint Finset.SupIndep.pairwiseDisjoint
theorem SupIndep.le_sup_iff (hs : s.SupIndep f) (hts : t ⊆ s) (hi : i ∈ s) (hf : ∀ i, f i ≠ ⊥) :
f i ≤ t.sup f ↔ i ∈ t := by
refine ⟨fun h => ?_, le_sup⟩
by_contra hit
exact hf i (disjoint_self.1 <| (hs hts hi hit).mono_right h)
#align finset.sup_indep.le_sup_iff Finset.SupIndep.le_sup_iff
theorem supIndep_iff_disjoint_erase [DecidableEq ι] :
s.SupIndep f ↔ ∀ i ∈ s, Disjoint (f i) ((s.erase i).sup f) :=
⟨fun hs _ hi => hs (erase_subset _ _) hi (not_mem_erase _ _), fun hs _ ht i hi hit =>
(hs i hi).mono_right (sup_mono fun _ hj => mem_erase.2 ⟨ne_of_mem_of_not_mem hj hit, ht hj⟩)⟩
#align finset.sup_indep_iff_disjoint_erase Finset.supIndep_iff_disjoint_erase
theorem SupIndep.image [DecidableEq ι] {s : Finset ι'} {g : ι' → ι} (hs : s.SupIndep (f ∘ g)) :
(s.image g).SupIndep f := by
intro t ht i hi hit
rw [mem_image] at hi
obtain ⟨i, hi, rfl⟩ := hi
haveI : DecidableEq ι' := Classical.decEq _
suffices hts : t ⊆ (s.erase i).image g by
refine (supIndep_iff_disjoint_erase.1 hs i hi).mono_right ((sup_mono hts).trans ?_)
rw [sup_image]
rintro j hjt
obtain ⟨j, hj, rfl⟩ := mem_image.1 (ht hjt)
exact mem_image_of_mem _ (mem_erase.2 ⟨ne_of_apply_ne g (ne_of_mem_of_not_mem hjt hit), hj⟩)
#align finset.sup_indep.image Finset.SupIndep.image
| Mathlib/Order/SupIndep.lean | 120 | 126 | theorem supIndep_map {s : Finset ι'} {g : ι' ↪ ι} : (s.map g).SupIndep f ↔ s.SupIndep (f ∘ g) := by |
refine ⟨fun hs t ht i hi hit => ?_, fun hs => ?_⟩
· rw [← sup_map]
exact hs (map_subset_map.2 ht) ((mem_map' _).2 hi) (by rwa [mem_map'])
· classical
rw [map_eq_image]
exact hs.image
|
import Mathlib.Topology.Order
#align_import topology.maps from "leanprover-community/mathlib"@"d91e7f7a7f1c7e9f0e18fdb6bde4f652004c735d"
open Set Filter Function
open TopologicalSpace Topology Filter
variable {X : Type*} {Y : Type*} {Z : Type*} {ι : Type*} {f : X → Y} {g : Y → Z}
section Inducing
variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z]
theorem inducing_induced (f : X → Y) : @Inducing X Y (TopologicalSpace.induced f ‹_›) _ f :=
@Inducing.mk _ _ (TopologicalSpace.induced f ‹_›) _ _ rfl
theorem inducing_id : Inducing (@id X) :=
⟨induced_id.symm⟩
#align inducing_id inducing_id
protected theorem Inducing.comp (hg : Inducing g) (hf : Inducing f) :
Inducing (g ∘ f) :=
⟨by rw [hf.induced, hg.induced, induced_compose]⟩
#align inducing.comp Inducing.comp
theorem Inducing.of_comp_iff (hg : Inducing g) :
Inducing (g ∘ f) ↔ Inducing f := by
refine ⟨fun h ↦ ?_, hg.comp⟩
rw [inducing_iff, hg.induced, induced_compose, h.induced]
#align inducing.inducing_iff Inducing.of_comp_iff
theorem inducing_of_inducing_compose
(hf : Continuous f) (hg : Continuous g) (hgf : Inducing (g ∘ f)) : Inducing f :=
⟨le_antisymm (by rwa [← continuous_iff_le_induced])
(by
rw [hgf.induced, ← induced_compose]
exact induced_mono hg.le_induced)⟩
#align inducing_of_inducing_compose inducing_of_inducing_compose
theorem inducing_iff_nhds : Inducing f ↔ ∀ x, 𝓝 x = comap f (𝓝 (f x)) :=
(inducing_iff _).trans (induced_iff_nhds_eq f)
#align inducing_iff_nhds inducing_iff_nhds
namespace Inducing
theorem nhds_eq_comap (hf : Inducing f) : ∀ x : X, 𝓝 x = comap f (𝓝 <| f x) :=
inducing_iff_nhds.1 hf
#align inducing.nhds_eq_comap Inducing.nhds_eq_comap
theorem basis_nhds {p : ι → Prop} {s : ι → Set Y} (hf : Inducing f) {x : X}
(h_basis : (𝓝 (f x)).HasBasis p s) : (𝓝 x).HasBasis p (preimage f ∘ s) :=
hf.nhds_eq_comap x ▸ h_basis.comap f
theorem nhdsSet_eq_comap (hf : Inducing f) (s : Set X) :
𝓝ˢ s = comap f (𝓝ˢ (f '' s)) := by
simp only [nhdsSet, sSup_image, comap_iSup, hf.nhds_eq_comap, iSup_image]
#align inducing.nhds_set_eq_comap Inducing.nhdsSet_eq_comap
theorem map_nhds_eq (hf : Inducing f) (x : X) : (𝓝 x).map f = 𝓝[range f] f x :=
hf.induced.symm ▸ map_nhds_induced_eq x
#align inducing.map_nhds_eq Inducing.map_nhds_eq
theorem map_nhds_of_mem (hf : Inducing f) (x : X) (h : range f ∈ 𝓝 (f x)) :
(𝓝 x).map f = 𝓝 (f x) :=
hf.induced.symm ▸ map_nhds_induced_of_mem h
#align inducing.map_nhds_of_mem Inducing.map_nhds_of_mem
-- Porting note (#10756): new lemma
theorem mapClusterPt_iff (hf : Inducing f) {x : X} {l : Filter X} :
MapClusterPt (f x) l f ↔ ClusterPt x l := by
delta MapClusterPt ClusterPt
rw [← Filter.push_pull', ← hf.nhds_eq_comap, map_neBot_iff]
theorem image_mem_nhdsWithin (hf : Inducing f) {x : X} {s : Set X} (hs : s ∈ 𝓝 x) :
f '' s ∈ 𝓝[range f] f x :=
hf.map_nhds_eq x ▸ image_mem_map hs
#align inducing.image_mem_nhds_within Inducing.image_mem_nhdsWithin
theorem tendsto_nhds_iff {f : ι → Y} {l : Filter ι} {y : Y} (hg : Inducing g) :
Tendsto f l (𝓝 y) ↔ Tendsto (g ∘ f) l (𝓝 (g y)) := by
rw [hg.nhds_eq_comap, tendsto_comap_iff]
#align inducing.tendsto_nhds_iff Inducing.tendsto_nhds_iff
theorem continuousAt_iff (hg : Inducing g) {x : X} :
ContinuousAt f x ↔ ContinuousAt (g ∘ f) x :=
hg.tendsto_nhds_iff
#align inducing.continuous_at_iff Inducing.continuousAt_iff
theorem continuous_iff (hg : Inducing g) :
Continuous f ↔ Continuous (g ∘ f) := by
simp_rw [continuous_iff_continuousAt, hg.continuousAt_iff]
#align inducing.continuous_iff Inducing.continuous_iff
theorem continuousAt_iff' (hf : Inducing f) {x : X} (h : range f ∈ 𝓝 (f x)) :
ContinuousAt (g ∘ f) x ↔ ContinuousAt g (f x) := by
simp_rw [ContinuousAt, Filter.Tendsto, ← hf.map_nhds_of_mem _ h, Filter.map_map, comp]
#align inducing.continuous_at_iff' Inducing.continuousAt_iff'
protected theorem continuous (hf : Inducing f) : Continuous f :=
hf.continuous_iff.mp continuous_id
#align inducing.continuous Inducing.continuous
theorem closure_eq_preimage_closure_image (hf : Inducing f) (s : Set X) :
closure s = f ⁻¹' closure (f '' s) := by
ext x
rw [Set.mem_preimage, ← closure_induced, hf.induced]
#align inducing.closure_eq_preimage_closure_image Inducing.closure_eq_preimage_closure_image
theorem isClosed_iff (hf : Inducing f) {s : Set X} :
IsClosed s ↔ ∃ t, IsClosed t ∧ f ⁻¹' t = s := by rw [hf.induced, isClosed_induced_iff]
#align inducing.is_closed_iff Inducing.isClosed_iff
theorem isClosed_iff' (hf : Inducing f) {s : Set X} :
IsClosed s ↔ ∀ x, f x ∈ closure (f '' s) → x ∈ s := by rw [hf.induced, isClosed_induced_iff']
#align inducing.is_closed_iff' Inducing.isClosed_iff'
theorem isClosed_preimage (h : Inducing f) (s : Set Y) (hs : IsClosed s) :
IsClosed (f ⁻¹' s) :=
(isClosed_iff h).mpr ⟨s, hs, rfl⟩
#align inducing.is_closed_preimage Inducing.isClosed_preimage
| Mathlib/Topology/Maps.lean | 165 | 166 | theorem isOpen_iff (hf : Inducing f) {s : Set X} :
IsOpen s ↔ ∃ t, IsOpen t ∧ f ⁻¹' t = s := by | rw [hf.induced, isOpen_induced_iff]
|
import Mathlib.Topology.Separation
import Mathlib.Topology.UniformSpace.Basic
import Mathlib.Topology.UniformSpace.Cauchy
#align_import topology.uniform_space.uniform_convergence from "leanprover-community/mathlib"@"2705404e701abc6b3127da906f40bae062a169c9"
noncomputable section
open Topology Uniformity Filter Set
universe u v w x
variable {α : Type u} {β : Type v} {γ : Type w} {ι : Type x} [UniformSpace β]
variable {F : ι → α → β} {f : α → β} {s s' : Set α} {x : α} {p : Filter ι} {p' : Filter α}
{g : ι → α}
def TendstoUniformlyOnFilter (F : ι → α → β) (f : α → β) (p : Filter ι) (p' : Filter α) :=
∀ u ∈ 𝓤 β, ∀ᶠ n : ι × α in p ×ˢ p', (f n.snd, F n.fst n.snd) ∈ u
#align tendsto_uniformly_on_filter TendstoUniformlyOnFilter
theorem tendstoUniformlyOnFilter_iff_tendsto :
TendstoUniformlyOnFilter F f p p' ↔
Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ p') (𝓤 β) :=
Iff.rfl
#align tendsto_uniformly_on_filter_iff_tendsto tendstoUniformlyOnFilter_iff_tendsto
def TendstoUniformlyOn (F : ι → α → β) (f : α → β) (p : Filter ι) (s : Set α) :=
∀ u ∈ 𝓤 β, ∀ᶠ n in p, ∀ x : α, x ∈ s → (f x, F n x) ∈ u
#align tendsto_uniformly_on TendstoUniformlyOn
theorem tendstoUniformlyOn_iff_tendstoUniformlyOnFilter :
TendstoUniformlyOn F f p s ↔ TendstoUniformlyOnFilter F f p (𝓟 s) := by
simp only [TendstoUniformlyOn, TendstoUniformlyOnFilter]
apply forall₂_congr
simp_rw [eventually_prod_principal_iff]
simp
#align tendsto_uniformly_on_iff_tendsto_uniformly_on_filter tendstoUniformlyOn_iff_tendstoUniformlyOnFilter
alias ⟨TendstoUniformlyOn.tendstoUniformlyOnFilter, TendstoUniformlyOnFilter.tendstoUniformlyOn⟩ :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter
#align tendsto_uniformly_on.tendsto_uniformly_on_filter TendstoUniformlyOn.tendstoUniformlyOnFilter
#align tendsto_uniformly_on_filter.tendsto_uniformly_on TendstoUniformlyOnFilter.tendstoUniformlyOn
theorem tendstoUniformlyOn_iff_tendsto {F : ι → α → β} {f : α → β} {p : Filter ι} {s : Set α} :
TendstoUniformlyOn F f p s ↔
Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ 𝓟 s) (𝓤 β) := by
simp [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter, tendstoUniformlyOnFilter_iff_tendsto]
#align tendsto_uniformly_on_iff_tendsto tendstoUniformlyOn_iff_tendsto
def TendstoUniformly (F : ι → α → β) (f : α → β) (p : Filter ι) :=
∀ u ∈ 𝓤 β, ∀ᶠ n in p, ∀ x : α, (f x, F n x) ∈ u
#align tendsto_uniformly TendstoUniformly
-- Porting note: moved from below
theorem tendstoUniformlyOn_univ : TendstoUniformlyOn F f p univ ↔ TendstoUniformly F f p := by
simp [TendstoUniformlyOn, TendstoUniformly]
#align tendsto_uniformly_on_univ tendstoUniformlyOn_univ
theorem tendstoUniformly_iff_tendstoUniformlyOnFilter :
TendstoUniformly F f p ↔ TendstoUniformlyOnFilter F f p ⊤ := by
rw [← tendstoUniformlyOn_univ, tendstoUniformlyOn_iff_tendstoUniformlyOnFilter, principal_univ]
#align tendsto_uniformly_iff_tendsto_uniformly_on_filter tendstoUniformly_iff_tendstoUniformlyOnFilter
theorem TendstoUniformly.tendstoUniformlyOnFilter (h : TendstoUniformly F f p) :
TendstoUniformlyOnFilter F f p ⊤ := by rwa [← tendstoUniformly_iff_tendstoUniformlyOnFilter]
#align tendsto_uniformly.tendsto_uniformly_on_filter TendstoUniformly.tendstoUniformlyOnFilter
theorem tendstoUniformlyOn_iff_tendstoUniformly_comp_coe :
TendstoUniformlyOn F f p s ↔ TendstoUniformly (fun i (x : s) => F i x) (f ∘ (↑)) p :=
forall₂_congr fun u _ => by simp
#align tendsto_uniformly_on_iff_tendsto_uniformly_comp_coe tendstoUniformlyOn_iff_tendstoUniformly_comp_coe
theorem tendstoUniformly_iff_tendsto {F : ι → α → β} {f : α → β} {p : Filter ι} :
TendstoUniformly F f p ↔ Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ ⊤) (𝓤 β) := by
simp [tendstoUniformly_iff_tendstoUniformlyOnFilter, tendstoUniformlyOnFilter_iff_tendsto]
#align tendsto_uniformly_iff_tendsto tendstoUniformly_iff_tendsto
theorem TendstoUniformlyOnFilter.tendsto_at (h : TendstoUniformlyOnFilter F f p p')
(hx : 𝓟 {x} ≤ p') : Tendsto (fun n => F n x) p <| 𝓝 (f x) := by
refine Uniform.tendsto_nhds_right.mpr fun u hu => mem_map.mpr ?_
filter_upwards [(h u hu).curry]
intro i h
simpa using h.filter_mono hx
#align tendsto_uniformly_on_filter.tendsto_at TendstoUniformlyOnFilter.tendsto_at
theorem TendstoUniformlyOn.tendsto_at (h : TendstoUniformlyOn F f p s) {x : α} (hx : x ∈ s) :
Tendsto (fun n => F n x) p <| 𝓝 (f x) :=
h.tendstoUniformlyOnFilter.tendsto_at
(le_principal_iff.mpr <| mem_principal.mpr <| singleton_subset_iff.mpr <| hx)
#align tendsto_uniformly_on.tendsto_at TendstoUniformlyOn.tendsto_at
theorem TendstoUniformly.tendsto_at (h : TendstoUniformly F f p) (x : α) :
Tendsto (fun n => F n x) p <| 𝓝 (f x) :=
h.tendstoUniformlyOnFilter.tendsto_at le_top
#align tendsto_uniformly.tendsto_at TendstoUniformly.tendsto_at
-- Porting note: tendstoUniformlyOn_univ moved up
theorem TendstoUniformlyOnFilter.mono_left {p'' : Filter ι} (h : TendstoUniformlyOnFilter F f p p')
(hp : p'' ≤ p) : TendstoUniformlyOnFilter F f p'' p' := fun u hu =>
(h u hu).filter_mono (p'.prod_mono_left hp)
#align tendsto_uniformly_on_filter.mono_left TendstoUniformlyOnFilter.mono_left
theorem TendstoUniformlyOnFilter.mono_right {p'' : Filter α} (h : TendstoUniformlyOnFilter F f p p')
(hp : p'' ≤ p') : TendstoUniformlyOnFilter F f p p'' := fun u hu =>
(h u hu).filter_mono (p.prod_mono_right hp)
#align tendsto_uniformly_on_filter.mono_right TendstoUniformlyOnFilter.mono_right
theorem TendstoUniformlyOn.mono {s' : Set α} (h : TendstoUniformlyOn F f p s) (h' : s' ⊆ s) :
TendstoUniformlyOn F f p s' :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr
(h.tendstoUniformlyOnFilter.mono_right (le_principal_iff.mpr <| mem_principal.mpr h'))
#align tendsto_uniformly_on.mono TendstoUniformlyOn.mono
theorem TendstoUniformlyOnFilter.congr {F' : ι → α → β} (hf : TendstoUniformlyOnFilter F f p p')
(hff' : ∀ᶠ n : ι × α in p ×ˢ p', F n.fst n.snd = F' n.fst n.snd) :
TendstoUniformlyOnFilter F' f p p' := by
refine fun u hu => ((hf u hu).and hff').mono fun n h => ?_
rw [← h.right]
exact h.left
#align tendsto_uniformly_on_filter.congr TendstoUniformlyOnFilter.congr
theorem TendstoUniformlyOn.congr {F' : ι → α → β} (hf : TendstoUniformlyOn F f p s)
(hff' : ∀ᶠ n in p, Set.EqOn (F n) (F' n) s) : TendstoUniformlyOn F' f p s := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at hf ⊢
refine hf.congr ?_
rw [eventually_iff] at hff' ⊢
simp only [Set.EqOn] at hff'
simp only [mem_prod_principal, hff', mem_setOf_eq]
#align tendsto_uniformly_on.congr TendstoUniformlyOn.congr
theorem TendstoUniformlyOn.congr_right {g : α → β} (hf : TendstoUniformlyOn F f p s)
(hfg : EqOn f g s) : TendstoUniformlyOn F g p s := fun u hu => by
filter_upwards [hf u hu] with i hi a ha using hfg ha ▸ hi a ha
#align tendsto_uniformly_on.congr_right TendstoUniformlyOn.congr_right
protected theorem TendstoUniformly.tendstoUniformlyOn (h : TendstoUniformly F f p) :
TendstoUniformlyOn F f p s :=
(tendstoUniformlyOn_univ.2 h).mono (subset_univ s)
#align tendsto_uniformly.tendsto_uniformly_on TendstoUniformly.tendstoUniformlyOn
theorem TendstoUniformlyOnFilter.comp (h : TendstoUniformlyOnFilter F f p p') (g : γ → α) :
TendstoUniformlyOnFilter (fun n => F n ∘ g) (f ∘ g) p (p'.comap g) := by
rw [tendstoUniformlyOnFilter_iff_tendsto] at h ⊢
exact h.comp (tendsto_id.prod_map tendsto_comap)
#align tendsto_uniformly_on_filter.comp TendstoUniformlyOnFilter.comp
theorem TendstoUniformlyOn.comp (h : TendstoUniformlyOn F f p s) (g : γ → α) :
TendstoUniformlyOn (fun n => F n ∘ g) (f ∘ g) p (g ⁻¹' s) := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at h ⊢
simpa [TendstoUniformlyOn, comap_principal] using TendstoUniformlyOnFilter.comp h g
#align tendsto_uniformly_on.comp TendstoUniformlyOn.comp
theorem TendstoUniformly.comp (h : TendstoUniformly F f p) (g : γ → α) :
TendstoUniformly (fun n => F n ∘ g) (f ∘ g) p := by
rw [tendstoUniformly_iff_tendstoUniformlyOnFilter] at h ⊢
simpa [principal_univ, comap_principal] using h.comp g
#align tendsto_uniformly.comp TendstoUniformly.comp
theorem UniformContinuous.comp_tendstoUniformlyOnFilter [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformlyOnFilter F f p p') :
TendstoUniformlyOnFilter (fun i => g ∘ F i) (g ∘ f) p p' := fun _u hu => h _ (hg hu)
#align uniform_continuous.comp_tendsto_uniformly_on_filter UniformContinuous.comp_tendstoUniformlyOnFilter
theorem UniformContinuous.comp_tendstoUniformlyOn [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformlyOn F f p s) :
TendstoUniformlyOn (fun i => g ∘ F i) (g ∘ f) p s := fun _u hu => h _ (hg hu)
#align uniform_continuous.comp_tendsto_uniformly_on UniformContinuous.comp_tendstoUniformlyOn
theorem UniformContinuous.comp_tendstoUniformly [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformly F f p) :
TendstoUniformly (fun i => g ∘ F i) (g ∘ f) p := fun _u hu => h _ (hg hu)
#align uniform_continuous.comp_tendsto_uniformly UniformContinuous.comp_tendstoUniformly
theorem TendstoUniformlyOnFilter.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {q : Filter ι'} {q' : Filter α'} (h : TendstoUniformlyOnFilter F f p p')
(h' : TendstoUniformlyOnFilter F' f' q q') :
TendstoUniformlyOnFilter (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f')
(p ×ˢ q) (p' ×ˢ q') := by
rw [tendstoUniformlyOnFilter_iff_tendsto] at h h' ⊢
rw [uniformity_prod_eq_comap_prod, tendsto_comap_iff, ← map_swap4_prod, tendsto_map'_iff]
convert h.prod_map h' -- seems to be faster than `exact` here
#align tendsto_uniformly_on_filter.prod_map TendstoUniformlyOnFilter.prod_map
theorem TendstoUniformlyOn.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {p' : Filter ι'} {s' : Set α'} (h : TendstoUniformlyOn F f p s)
(h' : TendstoUniformlyOn F' f' p' s') :
TendstoUniformlyOn (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f') (p ×ˢ p')
(s ×ˢ s') := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at h h' ⊢
simpa only [prod_principal_principal] using h.prod_map h'
#align tendsto_uniformly_on.prod_map TendstoUniformlyOn.prod_map
theorem TendstoUniformly.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {p' : Filter ι'} (h : TendstoUniformly F f p) (h' : TendstoUniformly F' f' p') :
TendstoUniformly (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f') (p ×ˢ p') := by
rw [← tendstoUniformlyOn_univ, ← univ_prod_univ] at *
exact h.prod_map h'
#align tendsto_uniformly.prod_map TendstoUniformly.prod_map
theorem TendstoUniformlyOnFilter.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'}
{f' : α → β'} {q : Filter ι'} (h : TendstoUniformlyOnFilter F f p p')
(h' : TendstoUniformlyOnFilter F' f' q p') :
TendstoUniformlyOnFilter (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p ×ˢ q) p' :=
fun u hu => ((h.prod_map h') u hu).diag_of_prod_right
#align tendsto_uniformly_on_filter.prod TendstoUniformlyOnFilter.prod
theorem TendstoUniformlyOn.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'} {f' : α → β'}
{p' : Filter ι'} (h : TendstoUniformlyOn F f p s) (h' : TendstoUniformlyOn F' f' p' s) :
TendstoUniformlyOn (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p.prod p') s :=
(congr_arg _ s.inter_self).mp ((h.prod_map h').comp fun a => (a, a))
#align tendsto_uniformly_on.prod TendstoUniformlyOn.prod
theorem TendstoUniformly.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'} {f' : α → β'}
{p' : Filter ι'} (h : TendstoUniformly F f p) (h' : TendstoUniformly F' f' p') :
TendstoUniformly (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p ×ˢ p') :=
(h.prod_map h').comp fun a => (a, a)
#align tendsto_uniformly.prod TendstoUniformly.prod
theorem tendsto_prod_filter_iff {c : β} :
Tendsto (↿F) (p ×ˢ p') (𝓝 c) ↔ TendstoUniformlyOnFilter F (fun _ => c) p p' := by
simp_rw [nhds_eq_comap_uniformity, tendsto_comap_iff]
rfl
#align tendsto_prod_filter_iff tendsto_prod_filter_iff
theorem tendsto_prod_principal_iff {c : β} :
Tendsto (↿F) (p ×ˢ 𝓟 s) (𝓝 c) ↔ TendstoUniformlyOn F (fun _ => c) p s := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter]
exact tendsto_prod_filter_iff
#align tendsto_prod_principal_iff tendsto_prod_principal_iff
theorem tendsto_prod_top_iff {c : β} :
Tendsto (↿F) (p ×ˢ ⊤) (𝓝 c) ↔ TendstoUniformly F (fun _ => c) p := by
rw [tendstoUniformly_iff_tendstoUniformlyOnFilter]
exact tendsto_prod_filter_iff
#align tendsto_prod_top_iff tendsto_prod_top_iff
theorem tendstoUniformlyOn_empty : TendstoUniformlyOn F f p ∅ := fun u _ => by simp
#align tendsto_uniformly_on_empty tendstoUniformlyOn_empty
theorem tendstoUniformlyOn_singleton_iff_tendsto :
TendstoUniformlyOn F f p {x} ↔ Tendsto (fun n : ι => F n x) p (𝓝 (f x)) := by
simp_rw [tendstoUniformlyOn_iff_tendsto, Uniform.tendsto_nhds_right, tendsto_def]
exact forall₂_congr fun u _ => by simp [mem_prod_principal, preimage]
#align tendsto_uniformly_on_singleton_iff_tendsto tendstoUniformlyOn_singleton_iff_tendsto
theorem Filter.Tendsto.tendstoUniformlyOnFilter_const {g : ι → β} {b : β} (hg : Tendsto g p (𝓝 b))
(p' : Filter α) :
TendstoUniformlyOnFilter (fun n : ι => fun _ : α => g n) (fun _ : α => b) p p' := by
simpa only [nhds_eq_comap_uniformity, tendsto_comap_iff] using hg.comp (tendsto_fst (g := p'))
#align filter.tendsto.tendsto_uniformly_on_filter_const Filter.Tendsto.tendstoUniformlyOnFilter_const
theorem Filter.Tendsto.tendstoUniformlyOn_const {g : ι → β} {b : β} (hg : Tendsto g p (𝓝 b))
(s : Set α) : TendstoUniformlyOn (fun n : ι => fun _ : α => g n) (fun _ : α => b) p s :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr (hg.tendstoUniformlyOnFilter_const (𝓟 s))
#align filter.tendsto.tendsto_uniformly_on_const Filter.Tendsto.tendstoUniformlyOn_const
-- Porting note (#10756): new lemma
theorem UniformContinuousOn.tendstoUniformlyOn [UniformSpace α] [UniformSpace γ] {x : α} {U : Set α}
{V : Set β} {F : α → β → γ} (hF : UniformContinuousOn (↿F) (U ×ˢ V)) (hU : x ∈ U) :
TendstoUniformlyOn F (F x) (𝓝[U] x) V := by
set φ := fun q : α × β => ((x, q.2), q)
rw [tendstoUniformlyOn_iff_tendsto]
change Tendsto (Prod.map (↿F) ↿F ∘ φ) (𝓝[U] x ×ˢ 𝓟 V) (𝓤 γ)
simp only [nhdsWithin, SProd.sprod, Filter.prod, comap_inf, inf_assoc, comap_principal,
inf_principal]
refine hF.comp (Tendsto.inf ?_ <| tendsto_principal_principal.2 fun x hx => ⟨⟨hU, hx.2⟩, hx⟩)
simp only [uniformity_prod_eq_comap_prod, tendsto_comap_iff, (· ∘ ·),
nhds_eq_comap_uniformity, comap_comap]
exact tendsto_comap.prod_mk (tendsto_diag_uniformity _ _)
theorem UniformContinuousOn.tendstoUniformly [UniformSpace α] [UniformSpace γ] {x : α} {U : Set α}
(hU : U ∈ 𝓝 x) {F : α → β → γ} (hF : UniformContinuousOn (↿F) (U ×ˢ (univ : Set β))) :
TendstoUniformly F (F x) (𝓝 x) := by
simpa only [tendstoUniformlyOn_univ, nhdsWithin_eq_nhds.2 hU]
using hF.tendstoUniformlyOn (mem_of_mem_nhds hU)
#align uniform_continuous_on.tendsto_uniformly UniformContinuousOn.tendstoUniformly
theorem UniformContinuous₂.tendstoUniformly [UniformSpace α] [UniformSpace γ] {f : α → β → γ}
(h : UniformContinuous₂ f) {x : α} : TendstoUniformly f (f x) (𝓝 x) :=
UniformContinuousOn.tendstoUniformly univ_mem <| by rwa [univ_prod_univ, uniformContinuousOn_univ]
#align uniform_continuous₂.tendsto_uniformly UniformContinuous₂.tendstoUniformly
def UniformCauchySeqOnFilter (F : ι → α → β) (p : Filter ι) (p' : Filter α) : Prop :=
∀ u ∈ 𝓤 β, ∀ᶠ m : (ι × ι) × α in (p ×ˢ p) ×ˢ p', (F m.fst.fst m.snd, F m.fst.snd m.snd) ∈ u
#align uniform_cauchy_seq_on_filter UniformCauchySeqOnFilter
def UniformCauchySeqOn (F : ι → α → β) (p : Filter ι) (s : Set α) : Prop :=
∀ u ∈ 𝓤 β, ∀ᶠ m : ι × ι in p ×ˢ p, ∀ x : α, x ∈ s → (F m.fst x, F m.snd x) ∈ u
#align uniform_cauchy_seq_on UniformCauchySeqOn
theorem uniformCauchySeqOn_iff_uniformCauchySeqOnFilter :
UniformCauchySeqOn F p s ↔ UniformCauchySeqOnFilter F p (𝓟 s) := by
simp only [UniformCauchySeqOn, UniformCauchySeqOnFilter]
refine forall₂_congr fun u hu => ?_
rw [eventually_prod_principal_iff]
#align uniform_cauchy_seq_on_iff_uniform_cauchy_seq_on_filter uniformCauchySeqOn_iff_uniformCauchySeqOnFilter
theorem UniformCauchySeqOn.uniformCauchySeqOnFilter (hF : UniformCauchySeqOn F p s) :
UniformCauchySeqOnFilter F p (𝓟 s) := by rwa [← uniformCauchySeqOn_iff_uniformCauchySeqOnFilter]
#align uniform_cauchy_seq_on.uniform_cauchy_seq_on_filter UniformCauchySeqOn.uniformCauchySeqOnFilter
theorem TendstoUniformlyOnFilter.uniformCauchySeqOnFilter (hF : TendstoUniformlyOnFilter F f p p') :
UniformCauchySeqOnFilter F p p' := by
intro u hu
rcases comp_symm_of_uniformity hu with ⟨t, ht, htsymm, htmem⟩
have := tendsto_swap4_prod.eventually ((hF t ht).prod_mk (hF t ht))
apply this.diag_of_prod_right.mono
simp only [and_imp, Prod.forall]
intro n1 n2 x hl hr
exact Set.mem_of_mem_of_subset (prod_mk_mem_compRel (htsymm hl) hr) htmem
#align tendsto_uniformly_on_filter.uniform_cauchy_seq_on_filter TendstoUniformlyOnFilter.uniformCauchySeqOnFilter
theorem TendstoUniformlyOn.uniformCauchySeqOn (hF : TendstoUniformlyOn F f p s) :
UniformCauchySeqOn F p s :=
uniformCauchySeqOn_iff_uniformCauchySeqOnFilter.mpr
hF.tendstoUniformlyOnFilter.uniformCauchySeqOnFilter
#align tendsto_uniformly_on.uniform_cauchy_seq_on TendstoUniformlyOn.uniformCauchySeqOn
theorem UniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto [NeBot p]
(hF : UniformCauchySeqOnFilter F p p')
(hF' : ∀ᶠ x : α in p', Tendsto (fun n => F n x) p (𝓝 (f x))) :
TendstoUniformlyOnFilter F f p p' := by
-- Proof idea: |f_n(x) - f(x)| ≤ |f_n(x) - f_m(x)| + |f_m(x) - f(x)|. We choose `n`
-- so that |f_n(x) - f_m(x)| is uniformly small across `s` whenever `m ≥ n`. Then for
-- a fixed `x`, we choose `m` sufficiently large such that |f_m(x) - f(x)| is small.
intro u hu
rcases comp_symm_of_uniformity hu with ⟨t, ht, htsymm, htmem⟩
-- We will choose n, x, and m simultaneously. n and x come from hF. m comes from hF'
-- But we need to promote hF' to the full product filter to use it
have hmc : ∀ᶠ x in (p ×ˢ p) ×ˢ p', Tendsto (fun n : ι => F n x.snd) p (𝓝 (f x.snd)) := by
rw [eventually_prod_iff]
exact ⟨fun _ => True, by simp, _, hF', by simp⟩
-- To apply filter operations we'll need to do some order manipulation
rw [Filter.eventually_swap_iff]
have := tendsto_prodAssoc.eventually (tendsto_prod_swap.eventually ((hF t ht).and hmc))
apply this.curry.mono
simp only [Equiv.prodAssoc_apply, eventually_and, eventually_const, Prod.snd_swap, Prod.fst_swap,
and_imp, Prod.forall]
-- Complete the proof
intro x n hx hm'
refine Set.mem_of_mem_of_subset (mem_compRel.mpr ?_) htmem
rw [Uniform.tendsto_nhds_right] at hm'
have := hx.and (hm' ht)
obtain ⟨m, hm⟩ := this.exists
exact ⟨F m x, ⟨hm.2, htsymm hm.1⟩⟩
#align uniform_cauchy_seq_on_filter.tendsto_uniformly_on_filter_of_tendsto UniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto
theorem UniformCauchySeqOn.tendstoUniformlyOn_of_tendsto [NeBot p] (hF : UniformCauchySeqOn F p s)
(hF' : ∀ x : α, x ∈ s → Tendsto (fun n => F n x) p (𝓝 (f x))) : TendstoUniformlyOn F f p s :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr
(hF.uniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto hF')
#align uniform_cauchy_seq_on.tendsto_uniformly_on_of_tendsto UniformCauchySeqOn.tendstoUniformlyOn_of_tendsto
theorem UniformCauchySeqOnFilter.mono_left {p'' : Filter ι} (hf : UniformCauchySeqOnFilter F p p')
(hp : p'' ≤ p) : UniformCauchySeqOnFilter F p'' p' := by
intro u hu
have := (hf u hu).filter_mono (p'.prod_mono_left (Filter.prod_mono hp hp))
exact this.mono (by simp)
#align uniform_cauchy_seq_on_filter.mono_left UniformCauchySeqOnFilter.mono_left
theorem UniformCauchySeqOnFilter.mono_right {p'' : Filter α} (hf : UniformCauchySeqOnFilter F p p')
(hp : p'' ≤ p') : UniformCauchySeqOnFilter F p p'' := fun u hu =>
have := (hf u hu).filter_mono ((p ×ˢ p).prod_mono_right hp)
this.mono (by simp)
#align uniform_cauchy_seq_on_filter.mono_right UniformCauchySeqOnFilter.mono_right
theorem UniformCauchySeqOn.mono {s' : Set α} (hf : UniformCauchySeqOn F p s) (hss' : s' ⊆ s) :
UniformCauchySeqOn F p s' := by
rw [uniformCauchySeqOn_iff_uniformCauchySeqOnFilter] at hf ⊢
exact hf.mono_right (le_principal_iff.mpr <| mem_principal.mpr hss')
#align uniform_cauchy_seq_on.mono UniformCauchySeqOn.mono
theorem UniformCauchySeqOnFilter.comp {γ : Type*} (hf : UniformCauchySeqOnFilter F p p')
(g : γ → α) : UniformCauchySeqOnFilter (fun n => F n ∘ g) p (p'.comap g) := fun u hu => by
obtain ⟨pa, hpa, pb, hpb, hpapb⟩ := eventually_prod_iff.mp (hf u hu)
rw [eventually_prod_iff]
refine ⟨pa, hpa, pb ∘ g, ?_, fun hx _ hy => hpapb hx hy⟩
exact eventually_comap.mpr (hpb.mono fun x hx y hy => by simp only [hx, hy, Function.comp_apply])
#align uniform_cauchy_seq_on_filter.comp UniformCauchySeqOnFilter.comp
theorem UniformCauchySeqOn.comp {γ : Type*} (hf : UniformCauchySeqOn F p s) (g : γ → α) :
UniformCauchySeqOn (fun n => F n ∘ g) p (g ⁻¹' s) := by
rw [uniformCauchySeqOn_iff_uniformCauchySeqOnFilter] at hf ⊢
simpa only [UniformCauchySeqOn, comap_principal] using hf.comp g
#align uniform_cauchy_seq_on.comp UniformCauchySeqOn.comp
theorem UniformContinuous.comp_uniformCauchySeqOn [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (hf : UniformCauchySeqOn F p s) :
UniformCauchySeqOn (fun n => g ∘ F n) p s := fun _u hu => hf _ (hg hu)
#align uniform_continuous.comp_uniform_cauchy_seq_on UniformContinuous.comp_uniformCauchySeqOn
theorem UniformCauchySeqOn.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{p' : Filter ι'} {s' : Set α'} (h : UniformCauchySeqOn F p s)
(h' : UniformCauchySeqOn F' p' s') :
UniformCauchySeqOn (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (p ×ˢ p') (s ×ˢ s') := by
intro u hu
rw [uniformity_prod_eq_prod, mem_map, mem_prod_iff] at hu
obtain ⟨v, hv, w, hw, hvw⟩ := hu
simp_rw [mem_prod, Prod.map_apply, and_imp, Prod.forall]
rw [← Set.image_subset_iff] at hvw
apply (tendsto_swap4_prod.eventually ((h v hv).prod_mk (h' w hw))).mono
intro x hx a b ha hb
exact hvw ⟨_, mk_mem_prod (hx.1 a ha) (hx.2 b hb), rfl⟩
#align uniform_cauchy_seq_on.prod_map UniformCauchySeqOn.prod_map
theorem UniformCauchySeqOn.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'}
{p' : Filter ι'} (h : UniformCauchySeqOn F p s) (h' : UniformCauchySeqOn F' p' s) :
UniformCauchySeqOn (fun (i : ι × ι') a => (F i.fst a, F' i.snd a)) (p ×ˢ p') s :=
(congr_arg _ s.inter_self).mp ((h.prod_map h').comp fun a => (a, a))
#align uniform_cauchy_seq_on.prod UniformCauchySeqOn.prod
theorem UniformCauchySeqOn.prod' {β' : Type*} [UniformSpace β'] {F' : ι → α → β'}
(h : UniformCauchySeqOn F p s) (h' : UniformCauchySeqOn F' p s) :
UniformCauchySeqOn (fun (i : ι) a => (F i a, F' i a)) p s := fun u hu =>
have hh : Tendsto (fun x : ι => (x, x)) p (p ×ˢ p) := tendsto_diag
(hh.prod_map hh).eventually ((h.prod h') u hu)
#align uniform_cauchy_seq_on.prod' UniformCauchySeqOn.prod'
theorem UniformCauchySeqOn.cauchy_map [hp : NeBot p] (hf : UniformCauchySeqOn F p s) (hx : x ∈ s) :
Cauchy (map (fun i => F i x) p) := by
simp only [cauchy_map_iff, hp, true_and_iff]
intro u hu
rw [mem_map]
filter_upwards [hf u hu] with p hp using hp x hx
#align uniform_cauchy_seq_on.cauchy_map UniformCauchySeqOn.cauchy_map
theorem UniformCauchySeqOn.cauchySeq [Nonempty ι] [SemilatticeSup ι]
(hf : UniformCauchySeqOn F atTop s) (hx : x ∈ s) :
CauchySeq fun i ↦ F i x :=
hf.cauchy_map (hp := atTop_neBot) hx
variable [TopologicalSpace α]
def TendstoLocallyUniformlyOn (F : ι → α → β) (f : α → β) (p : Filter ι) (s : Set α) :=
∀ u ∈ 𝓤 β, ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, ∀ᶠ n in p, ∀ y ∈ t, (f y, F n y) ∈ u
#align tendsto_locally_uniformly_on TendstoLocallyUniformlyOn
def TendstoLocallyUniformly (F : ι → α → β) (f : α → β) (p : Filter ι) :=
∀ u ∈ 𝓤 β, ∀ x : α, ∃ t ∈ 𝓝 x, ∀ᶠ n in p, ∀ y ∈ t, (f y, F n y) ∈ u
#align tendsto_locally_uniformly TendstoLocallyUniformly
theorem tendstoLocallyUniformlyOn_univ :
TendstoLocallyUniformlyOn F f p univ ↔ TendstoLocallyUniformly F f p := by
simp [TendstoLocallyUniformlyOn, TendstoLocallyUniformly, nhdsWithin_univ]
#align tendsto_locally_uniformly_on_univ tendstoLocallyUniformlyOn_univ
-- Porting note (#10756): new lemma
theorem tendstoLocallyUniformlyOn_iff_forall_tendsto :
TendstoLocallyUniformlyOn F f p s ↔
∀ x ∈ s, Tendsto (fun y : ι × α => (f y.2, F y.1 y.2)) (p ×ˢ 𝓝[s] x) (𝓤 β) :=
forall₂_swap.trans <| forall₄_congr fun _ _ _ _ => by
rw [mem_map, mem_prod_iff_right]; rfl
nonrec theorem IsOpen.tendstoLocallyUniformlyOn_iff_forall_tendsto (hs : IsOpen s) :
TendstoLocallyUniformlyOn F f p s ↔
∀ x ∈ s, Tendsto (fun y : ι × α => (f y.2, F y.1 y.2)) (p ×ˢ 𝓝 x) (𝓤 β) :=
tendstoLocallyUniformlyOn_iff_forall_tendsto.trans <| forall₂_congr fun x hx => by
rw [hs.nhdsWithin_eq hx]
theorem tendstoLocallyUniformly_iff_forall_tendsto :
TendstoLocallyUniformly F f p ↔
∀ x, Tendsto (fun y : ι × α => (f y.2, F y.1 y.2)) (p ×ˢ 𝓝 x) (𝓤 β) := by
simp [← tendstoLocallyUniformlyOn_univ, isOpen_univ.tendstoLocallyUniformlyOn_iff_forall_tendsto]
#align tendsto_locally_uniformly_iff_forall_tendsto tendstoLocallyUniformly_iff_forall_tendsto
theorem tendstoLocallyUniformlyOn_iff_tendstoLocallyUniformly_comp_coe :
TendstoLocallyUniformlyOn F f p s ↔
TendstoLocallyUniformly (fun i (x : s) => F i x) (f ∘ (↑)) p := by
simp only [tendstoLocallyUniformly_iff_forall_tendsto, Subtype.forall', tendsto_map'_iff,
tendstoLocallyUniformlyOn_iff_forall_tendsto, ← map_nhds_subtype_val, prod_map_right]; rfl
#align tendsto_locally_uniformly_on_iff_tendsto_locally_uniformly_comp_coe tendstoLocallyUniformlyOn_iff_tendstoLocallyUniformly_comp_coe
protected theorem TendstoUniformlyOn.tendstoLocallyUniformlyOn (h : TendstoUniformlyOn F f p s) :
TendstoLocallyUniformlyOn F f p s := fun u hu x _ =>
⟨s, self_mem_nhdsWithin, by simpa using h u hu⟩
#align tendsto_uniformly_on.tendsto_locally_uniformly_on TendstoUniformlyOn.tendstoLocallyUniformlyOn
protected theorem TendstoUniformly.tendstoLocallyUniformly (h : TendstoUniformly F f p) :
TendstoLocallyUniformly F f p := fun u hu x => ⟨univ, univ_mem, by simpa using h u hu⟩
#align tendsto_uniformly.tendsto_locally_uniformly TendstoUniformly.tendstoLocallyUniformly
| Mathlib/Topology/UniformSpace/UniformConvergence.lean | 651 | 655 | theorem TendstoLocallyUniformlyOn.mono (h : TendstoLocallyUniformlyOn F f p s) (h' : s' ⊆ s) :
TendstoLocallyUniformlyOn F f p s' := by |
intro u hu x hx
rcases h u hu x (h' hx) with ⟨t, ht, H⟩
exact ⟨t, nhdsWithin_mono x h' ht, H.mono fun n => id⟩
|
import Mathlib.Algebra.Order.Ring.Rat
import Mathlib.Tactic.NormNum.Inv
import Mathlib.Tactic.NormNum.Pow
import Mathlib.Util.AtomM
set_option autoImplicit true
namespace Mathlib.Tactic
namespace Ring
open Mathlib.Meta Qq NormNum Lean.Meta AtomM
open Lean (MetaM Expr mkRawNatLit)
def instCommSemiringNat : CommSemiring ℕ := inferInstance
def sℕ : Q(CommSemiring ℕ) := q(instCommSemiringNat)
-- In this file, we would like to use multi-character auto-implicits.
set_option relaxedAutoImplicit true
mutual
inductive ExBase : ∀ {α : Q(Type u)}, Q(CommSemiring $α) → (e : Q($α)) → Type
| atom (id : ℕ) : ExBase sα e
| sum (_ : ExSum sα e) : ExBase sα e
inductive ExProd : ∀ {α : Q(Type u)}, Q(CommSemiring $α) → (e : Q($α)) → Type
| const (value : ℚ) (hyp : Option Expr := none) : ExProd sα e
| mul {α : Q(Type u)} {sα : Q(CommSemiring $α)} {x : Q($α)} {e : Q(ℕ)} {b : Q($α)} :
ExBase sα x → ExProd sℕ e → ExProd sα b → ExProd sα q($x ^ $e * $b)
inductive ExSum : ∀ {α : Q(Type u)}, Q(CommSemiring $α) → (e : Q($α)) → Type
| zero {α : Q(Type u)} {sα : Q(CommSemiring $α)} : ExSum sα q(0 : $α)
| add {α : Q(Type u)} {sα : Q(CommSemiring $α)} {a b : Q($α)} :
ExProd sα a → ExSum sα b → ExSum sα q($a + $b)
end
mutual -- partial only to speed up compilation
partial def ExBase.eq : ExBase sα a → ExBase sα b → Bool
| .atom i, .atom j => i == j
| .sum a, .sum b => a.eq b
| _, _ => false
@[inherit_doc ExBase.eq]
partial def ExProd.eq : ExProd sα a → ExProd sα b → Bool
| .const i _, .const j _ => i == j
| .mul a₁ a₂ a₃, .mul b₁ b₂ b₃ => a₁.eq b₁ && a₂.eq b₂ && a₃.eq b₃
| _, _ => false
@[inherit_doc ExBase.eq]
partial def ExSum.eq : ExSum sα a → ExSum sα b → Bool
| .zero, .zero => true
| .add a₁ a₂, .add b₁ b₂ => a₁.eq b₁ && a₂.eq b₂
| _, _ => false
end
mutual -- partial only to speed up compilation
partial def ExBase.cmp : ExBase sα a → ExBase sα b → Ordering
| .atom i, .atom j => compare i j
| .sum a, .sum b => a.cmp b
| .atom .., .sum .. => .lt
| .sum .., .atom .. => .gt
@[inherit_doc ExBase.cmp]
partial def ExProd.cmp : ExProd sα a → ExProd sα b → Ordering
| .const i _, .const j _ => compare i j
| .mul a₁ a₂ a₃, .mul b₁ b₂ b₃ => (a₁.cmp b₁).then (a₂.cmp b₂) |>.then (a₃.cmp b₃)
| .const _ _, .mul .. => .lt
| .mul .., .const _ _ => .gt
@[inherit_doc ExBase.cmp]
partial def ExSum.cmp : ExSum sα a → ExSum sα b → Ordering
| .zero, .zero => .eq
| .add a₁ a₂, .add b₁ b₂ => (a₁.cmp b₁).then (a₂.cmp b₂)
| .zero, .add .. => .lt
| .add .., .zero => .gt
end
instance : Inhabited (Σ e, (ExBase sα) e) := ⟨default, .atom 0⟩
instance : Inhabited (Σ e, (ExSum sα) e) := ⟨_, .zero⟩
instance : Inhabited (Σ e, (ExProd sα) e) := ⟨default, .const 0 none⟩
mutual
partial def ExBase.cast : ExBase sα a → Σ a, ExBase sβ a
| .atom i => ⟨a, .atom i⟩
| .sum a => let ⟨_, vb⟩ := a.cast; ⟨_, .sum vb⟩
partial def ExProd.cast : ExProd sα a → Σ a, ExProd sβ a
| .const i h => ⟨a, .const i h⟩
| .mul a₁ a₂ a₃ => ⟨_, .mul a₁.cast.2 a₂ a₃.cast.2⟩
partial def ExSum.cast : ExSum sα a → Σ a, ExSum sβ a
| .zero => ⟨_, .zero⟩
| .add a₁ a₂ => ⟨_, .add a₁.cast.2 a₂.cast.2⟩
end
structure Result {α : Q(Type u)} (E : Q($α) → Type) (e : Q($α)) where
expr : Q($α)
val : E expr
proof : Q($e = $expr)
instance [Inhabited (Σ e, E e)] : Inhabited (Result E e) :=
let ⟨e', v⟩ : Σ e, E e := default; ⟨e', v, default⟩
variable {α : Q(Type u)} (sα : Q(CommSemiring $α)) [CommSemiring R]
def ExProd.mkNat (n : ℕ) : (e : Q($α)) × ExProd sα e :=
let lit : Q(ℕ) := mkRawNatLit n
⟨q(($lit).rawCast : $α), .const n none⟩
def ExProd.mkNegNat (_ : Q(Ring $α)) (n : ℕ) : (e : Q($α)) × ExProd sα e :=
let lit : Q(ℕ) := mkRawNatLit n
⟨q((Int.negOfNat $lit).rawCast : $α), .const (-n) none⟩
def ExProd.mkRat (_ : Q(DivisionRing $α)) (q : ℚ) (n : Q(ℤ)) (d : Q(ℕ)) (h : Expr) :
(e : Q($α)) × ExProd sα e :=
⟨q(Rat.rawCast $n $d : $α), .const q h⟩
section
variable {sα}
def ExBase.toProd (va : ExBase sα a) (vb : ExProd sℕ b) :
ExProd sα q($a ^ $b * (nat_lit 1).rawCast) := .mul va vb (.const 1 none)
def ExProd.toSum (v : ExProd sα e) : ExSum sα q($e + 0) := .add v .zero
def ExProd.coeff : ExProd sα e → ℚ
| .const q _ => q
| .mul _ _ v => v.coeff
end
inductive Overlap (e : Q($α)) where
| zero (_ : Q(IsNat $e (nat_lit 0)))
| nonzero (_ : Result (ExProd sα) e)
| Mathlib/Tactic/Ring/Basic.lean | 280 | 281 | theorem add_overlap_pf (x : R) (e) (pq_pf : a + b = c) :
x ^ e * a + x ^ e * b = x ^ e * c := by | subst_vars; simp [mul_add]
|
import Mathlib.RingTheory.DedekindDomain.Ideal
#align_import ring_theory.dedekind_domain.factorization from "leanprover-community/mathlib"@"2f588be38bb5bec02f218ba14f82fc82eb663f87"
noncomputable section
open scoped Classical nonZeroDivisors
open Set Function UniqueFactorizationMonoid IsDedekindDomain IsDedekindDomain.HeightOneSpectrum
Classical
variable {R : Type*} [CommRing R] {K : Type*} [Field K] [Algebra R K] [IsFractionRing R K]
variable [IsDedekindDomain R] (v : HeightOneSpectrum R)
def IsDedekindDomain.HeightOneSpectrum.maxPowDividing (I : Ideal R) : Ideal R :=
v.asIdeal ^ (Associates.mk v.asIdeal).count (Associates.mk I).factors
#align is_dedekind_domain.height_one_spectrum.max_pow_dividing IsDedekindDomain.HeightOneSpectrum.maxPowDividing
theorem Ideal.finite_factors {I : Ideal R} (hI : I ≠ 0) :
{v : HeightOneSpectrum R | v.asIdeal ∣ I}.Finite := by
rw [← Set.finite_coe_iff, Set.coe_setOf]
haveI h_fin := fintypeSubtypeDvd I hI
refine
Finite.of_injective (fun v => (⟨(v : HeightOneSpectrum R).asIdeal, v.2⟩ : { x // x ∣ I })) ?_
intro v w hvw
simp? at hvw says simp only [Subtype.mk.injEq] at hvw
exact Subtype.coe_injective ((HeightOneSpectrum.ext_iff (R := R) ↑v ↑w).mpr hvw)
#align ideal.finite_factors Ideal.finite_factors
theorem Associates.finite_factors {I : Ideal R} (hI : I ≠ 0) :
∀ᶠ v : HeightOneSpectrum R in Filter.cofinite,
((Associates.mk v.asIdeal).count (Associates.mk I).factors : ℤ) = 0 := by
have h_supp : {v : HeightOneSpectrum R | ¬((Associates.mk v.asIdeal).count
(Associates.mk I).factors : ℤ) = 0} = {v : HeightOneSpectrum R | v.asIdeal ∣ I} := by
ext v
simp_rw [Int.natCast_eq_zero]
exact Associates.count_ne_zero_iff_dvd hI v.irreducible
rw [Filter.eventually_cofinite, h_supp]
exact Ideal.finite_factors hI
#align associates.finite_factors Associates.finite_factors
| Mathlib/RingTheory/DedekindDomain/Factorization.lean | 149 | 156 | theorem Associates.finprod_ne_zero (I : Ideal R) :
Associates.mk (∏ᶠ v : HeightOneSpectrum R, v.maxPowDividing I) ≠ 0 := by |
rw [Associates.mk_ne_zero, finprod_def]
split_ifs
· rw [Finset.prod_ne_zero_iff]
intro v _
apply pow_ne_zero _ v.ne_bot
· exact one_ne_zero
|
import Mathlib.CategoryTheory.Subobject.MonoOver
import Mathlib.CategoryTheory.Skeletal
import Mathlib.CategoryTheory.ConcreteCategory.Basic
import Mathlib.Tactic.ApplyFun
import Mathlib.Tactic.CategoryTheory.Elementwise
#align_import category_theory.subobject.basic from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe v₁ v₂ u₁ u₂
noncomputable section
namespace CategoryTheory
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits
variable {C : Type u₁} [Category.{v₁} C] {X Y Z : C}
variable {D : Type u₂} [Category.{v₂} D]
def Subobject (X : C) :=
ThinSkeleton (MonoOver X)
#align category_theory.subobject CategoryTheory.Subobject
instance (X : C) : PartialOrder (Subobject X) := by
dsimp only [Subobject]
infer_instance
namespace Subobject
-- Porting note: made it a def rather than an abbreviation
-- because Lean would make it too transparent
def mk {X A : C} (f : A ⟶ X) [Mono f] : Subobject X :=
(toThinSkeleton _).obj (MonoOver.mk' f)
#align category_theory.subobject.mk CategoryTheory.Subobject.mk
section
attribute [local ext] CategoryTheory.Comma
protected theorem ind {X : C} (p : Subobject X → Prop)
(h : ∀ ⦃A : C⦄ (f : A ⟶ X) [Mono f], p (Subobject.mk f)) (P : Subobject X) : p P := by
apply Quotient.inductionOn'
intro a
exact h a.arrow
#align category_theory.subobject.ind CategoryTheory.Subobject.ind
protected theorem ind₂ {X : C} (p : Subobject X → Subobject X → Prop)
(h : ∀ ⦃A B : C⦄ (f : A ⟶ X) (g : B ⟶ X) [Mono f] [Mono g],
p (Subobject.mk f) (Subobject.mk g))
(P Q : Subobject X) : p P Q := by
apply Quotient.inductionOn₂'
intro a b
exact h a.arrow b.arrow
#align category_theory.subobject.ind₂ CategoryTheory.Subobject.ind₂
end
protected def lift {α : Sort*} {X : C} (F : ∀ ⦃A : C⦄ (f : A ⟶ X) [Mono f], α)
(h :
∀ ⦃A B : C⦄ (f : A ⟶ X) (g : B ⟶ X) [Mono f] [Mono g] (i : A ≅ B),
i.hom ≫ g = f → F f = F g) :
Subobject X → α := fun P =>
Quotient.liftOn' P (fun m => F m.arrow) fun m n ⟨i⟩ =>
h m.arrow n.arrow ((MonoOver.forget X ⋙ Over.forget X).mapIso i) (Over.w i.hom)
#align category_theory.subobject.lift CategoryTheory.Subobject.lift
@[simp]
protected theorem lift_mk {α : Sort*} {X : C} (F : ∀ ⦃A : C⦄ (f : A ⟶ X) [Mono f], α) {h A}
(f : A ⟶ X) [Mono f] : Subobject.lift F h (Subobject.mk f) = F f :=
rfl
#align category_theory.subobject.lift_mk CategoryTheory.Subobject.lift_mk
noncomputable def equivMonoOver (X : C) : Subobject X ≌ MonoOver X :=
ThinSkeleton.equivalence _
#align category_theory.subobject.equiv_mono_over CategoryTheory.Subobject.equivMonoOver
noncomputable def representative {X : C} : Subobject X ⥤ MonoOver X :=
(equivMonoOver X).functor
#align category_theory.subobject.representative CategoryTheory.Subobject.representative
noncomputable def representativeIso {X : C} (A : MonoOver X) :
representative.obj ((toThinSkeleton _).obj A) ≅ A :=
(equivMonoOver X).counitIso.app A
#align category_theory.subobject.representative_iso CategoryTheory.Subobject.representativeIso
noncomputable def underlying {X : C} : Subobject X ⥤ C :=
representative ⋙ MonoOver.forget _ ⋙ Over.forget _
#align category_theory.subobject.underlying CategoryTheory.Subobject.underlying
instance : CoeOut (Subobject X) C where coe Y := underlying.obj Y
-- Porting note: removed as it has become a syntactic tautology
-- @[simp]
-- theorem underlying_as_coe {X : C} (P : Subobject X) : underlying.obj P = P :=
-- rfl
-- #align category_theory.subobject.underlying_as_coe CategoryTheory.Subobject.underlying_as_coe
noncomputable def underlyingIso {X Y : C} (f : X ⟶ Y) [Mono f] : (Subobject.mk f : C) ≅ X :=
(MonoOver.forget _ ⋙ Over.forget _).mapIso (representativeIso (MonoOver.mk' f))
#align category_theory.subobject.underlying_iso CategoryTheory.Subobject.underlyingIso
noncomputable def arrow {X : C} (Y : Subobject X) : (Y : C) ⟶ X :=
(representative.obj Y).obj.hom
#align category_theory.subobject.arrow CategoryTheory.Subobject.arrow
instance arrow_mono {X : C} (Y : Subobject X) : Mono Y.arrow :=
(representative.obj Y).property
#align category_theory.subobject.arrow_mono CategoryTheory.Subobject.arrow_mono
@[simp]
theorem arrow_congr {A : C} (X Y : Subobject A) (h : X = Y) :
eqToHom (congr_arg (fun X : Subobject A => (X : C)) h) ≫ Y.arrow = X.arrow := by
induction h
simp
#align category_theory.subobject.arrow_congr CategoryTheory.Subobject.arrow_congr
@[simp]
theorem representative_coe (Y : Subobject X) : (representative.obj Y : C) = (Y : C) :=
rfl
#align category_theory.subobject.representative_coe CategoryTheory.Subobject.representative_coe
@[simp]
theorem representative_arrow (Y : Subobject X) : (representative.obj Y).arrow = Y.arrow :=
rfl
#align category_theory.subobject.representative_arrow CategoryTheory.Subobject.representative_arrow
@[reassoc (attr := simp)]
theorem underlying_arrow {X : C} {Y Z : Subobject X} (f : Y ⟶ Z) :
underlying.map f ≫ arrow Z = arrow Y :=
Over.w (representative.map f)
#align category_theory.subobject.underlying_arrow CategoryTheory.Subobject.underlying_arrow
@[reassoc (attr := simp), elementwise (attr := simp)]
theorem underlyingIso_arrow {X Y : C} (f : X ⟶ Y) [Mono f] :
(underlyingIso f).inv ≫ (Subobject.mk f).arrow = f :=
Over.w _
#align category_theory.subobject.underlying_iso_arrow CategoryTheory.Subobject.underlyingIso_arrow
@[reassoc (attr := simp)]
theorem underlyingIso_hom_comp_eq_mk {X Y : C} (f : X ⟶ Y) [Mono f] :
(underlyingIso f).hom ≫ f = (mk f).arrow :=
(Iso.eq_inv_comp _).1 (underlyingIso_arrow f).symm
#align category_theory.subobject.underlying_iso_hom_comp_eq_mk CategoryTheory.Subobject.underlyingIso_hom_comp_eq_mk
@[ext]
theorem eq_of_comp_arrow_eq {X Y : C} {P : Subobject Y} {f g : X ⟶ P}
(h : f ≫ P.arrow = g ≫ P.arrow) : f = g :=
(cancel_mono P.arrow).mp h
#align category_theory.subobject.eq_of_comp_arrow_eq CategoryTheory.Subobject.eq_of_comp_arrow_eq
theorem mk_le_mk_of_comm {B A₁ A₂ : C} {f₁ : A₁ ⟶ B} {f₂ : A₂ ⟶ B} [Mono f₁] [Mono f₂] (g : A₁ ⟶ A₂)
(w : g ≫ f₂ = f₁) : mk f₁ ≤ mk f₂ :=
⟨MonoOver.homMk _ w⟩
#align category_theory.subobject.mk_le_mk_of_comm CategoryTheory.Subobject.mk_le_mk_of_comm
@[simp]
theorem mk_arrow (P : Subobject X) : mk P.arrow = P :=
Quotient.inductionOn' P fun Q => by
obtain ⟨e⟩ := @Quotient.mk_out' _ (isIsomorphicSetoid _) Q
exact Quotient.sound' ⟨MonoOver.isoMk (Iso.refl _) ≪≫ e⟩
#align category_theory.subobject.mk_arrow CategoryTheory.Subobject.mk_arrow
theorem le_of_comm {B : C} {X Y : Subobject B} (f : (X : C) ⟶ (Y : C)) (w : f ≫ Y.arrow = X.arrow) :
X ≤ Y := by
convert mk_le_mk_of_comm _ w <;> simp
#align category_theory.subobject.le_of_comm CategoryTheory.Subobject.le_of_comm
theorem le_mk_of_comm {B A : C} {X : Subobject B} {f : A ⟶ B} [Mono f] (g : (X : C) ⟶ A)
(w : g ≫ f = X.arrow) : X ≤ mk f :=
le_of_comm (g ≫ (underlyingIso f).inv) <| by simp [w]
#align category_theory.subobject.le_mk_of_comm CategoryTheory.Subobject.le_mk_of_comm
theorem mk_le_of_comm {B A : C} {X : Subobject B} {f : A ⟶ B} [Mono f] (g : A ⟶ (X : C))
(w : g ≫ X.arrow = f) : mk f ≤ X :=
le_of_comm ((underlyingIso f).hom ≫ g) <| by simp [w]
#align category_theory.subobject.mk_le_of_comm CategoryTheory.Subobject.mk_le_of_comm
@[ext]
theorem eq_of_comm {B : C} {X Y : Subobject B} (f : (X : C) ≅ (Y : C))
(w : f.hom ≫ Y.arrow = X.arrow) : X = Y :=
le_antisymm (le_of_comm f.hom w) <| le_of_comm f.inv <| f.inv_comp_eq.2 w.symm
#align category_theory.subobject.eq_of_comm CategoryTheory.Subobject.eq_of_comm
-- Porting note (#11182): removed @[ext]
theorem eq_mk_of_comm {B A : C} {X : Subobject B} (f : A ⟶ B) [Mono f] (i : (X : C) ≅ A)
(w : i.hom ≫ f = X.arrow) : X = mk f :=
eq_of_comm (i.trans (underlyingIso f).symm) <| by simp [w]
#align category_theory.subobject.eq_mk_of_comm CategoryTheory.Subobject.eq_mk_of_comm
-- Porting note (#11182): removed @[ext]
theorem mk_eq_of_comm {B A : C} {X : Subobject B} (f : A ⟶ B) [Mono f] (i : A ≅ (X : C))
(w : i.hom ≫ X.arrow = f) : mk f = X :=
Eq.symm <| eq_mk_of_comm _ i.symm <| by rw [Iso.symm_hom, Iso.inv_comp_eq, w]
#align category_theory.subobject.mk_eq_of_comm CategoryTheory.Subobject.mk_eq_of_comm
-- Porting note (#11182): removed @[ext]
theorem mk_eq_mk_of_comm {B A₁ A₂ : C} (f : A₁ ⟶ B) (g : A₂ ⟶ B) [Mono f] [Mono g] (i : A₁ ≅ A₂)
(w : i.hom ≫ g = f) : mk f = mk g :=
eq_mk_of_comm _ ((underlyingIso f).trans i) <| by simp [w]
#align category_theory.subobject.mk_eq_mk_of_comm CategoryTheory.Subobject.mk_eq_mk_of_comm
-- We make `X` and `Y` explicit arguments here so that when `ofLE` appears in goal statements
-- it is possible to see its source and target
-- (`h` will just display as `_`, because it is in `Prop`).
def ofLE {B : C} (X Y : Subobject B) (h : X ≤ Y) : (X : C) ⟶ (Y : C) :=
underlying.map <| h.hom
#align category_theory.subobject.of_le CategoryTheory.Subobject.ofLE
@[reassoc (attr := simp)]
theorem ofLE_arrow {B : C} {X Y : Subobject B} (h : X ≤ Y) : ofLE X Y h ≫ Y.arrow = X.arrow :=
underlying_arrow _
#align category_theory.subobject.of_le_arrow CategoryTheory.Subobject.ofLE_arrow
instance {B : C} (X Y : Subobject B) (h : X ≤ Y) : Mono (ofLE X Y h) := by
fconstructor
intro Z f g w
replace w := w =≫ Y.arrow
ext
simpa using w
| Mathlib/CategoryTheory/Subobject/Basic.lean | 331 | 335 | theorem ofLE_mk_le_mk_of_comm {B A₁ A₂ : C} {f₁ : A₁ ⟶ B} {f₂ : A₂ ⟶ B} [Mono f₁] [Mono f₂]
(g : A₁ ⟶ A₂) (w : g ≫ f₂ = f₁) :
ofLE _ _ (mk_le_mk_of_comm g w) = (underlyingIso _).hom ≫ g ≫ (underlyingIso _).inv := by |
ext
simp [w]
|
import Mathlib.Analysis.SpecialFunctions.Log.Deriv
import Mathlib.MeasureTheory.Integral.FundThmCalculus
#align_import analysis.special_functions.non_integrable from "leanprover-community/mathlib"@"55ec6e9af7d3e0043f57e394cb06a72f6275273e"
open scoped MeasureTheory Topology Interval NNReal ENNReal
open MeasureTheory TopologicalSpace Set Filter Asymptotics intervalIntegral
variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F]
theorem not_integrableOn_of_tendsto_norm_atTop_of_deriv_isBigO_filter_aux
[CompleteSpace E] {f : ℝ → E} {g : ℝ → F}
{k : Set ℝ} (l : Filter ℝ) [NeBot l] [TendstoIxxClass Icc l l]
(hl : k ∈ l) (hd : ∀ᶠ x in l, DifferentiableAt ℝ f x) (hf : Tendsto (fun x => ‖f x‖) l atTop)
(hfg : deriv f =O[l] g) : ¬IntegrableOn g k := by
intro hgi
obtain ⟨C, hC₀, s, hsl, hsub, hfd, hg⟩ :
∃ (C : ℝ) (_ : 0 ≤ C), ∃ s ∈ l, (∀ x ∈ s, ∀ y ∈ s, [[x, y]] ⊆ k) ∧
(∀ x ∈ s, ∀ y ∈ s, ∀ z ∈ [[x, y]], DifferentiableAt ℝ f z) ∧
∀ x ∈ s, ∀ y ∈ s, ∀ z ∈ [[x, y]], ‖deriv f z‖ ≤ C * ‖g z‖ := by
rcases hfg.exists_nonneg with ⟨C, C₀, hC⟩
have h : ∀ᶠ x : ℝ × ℝ in l.prod l,
∀ y ∈ [[x.1, x.2]], (DifferentiableAt ℝ f y ∧ ‖deriv f y‖ ≤ C * ‖g y‖) ∧ y ∈ k :=
(tendsto_fst.uIcc tendsto_snd).eventually ((hd.and hC.bound).and hl).smallSets
rcases mem_prod_self_iff.1 h with ⟨s, hsl, hs⟩
simp only [prod_subset_iff, mem_setOf_eq] at hs
exact ⟨C, C₀, s, hsl, fun x hx y hy z hz => (hs x hx y hy z hz).2, fun x hx y hy z hz =>
(hs x hx y hy z hz).1.1, fun x hx y hy z hz => (hs x hx y hy z hz).1.2⟩
replace hgi : IntegrableOn (fun x ↦ C * ‖g x‖) k := by exact hgi.norm.smul C
obtain ⟨c, hc, d, hd, hlt⟩ : ∃ c ∈ s, ∃ d ∈ s, (‖f c‖ + ∫ y in k, C * ‖g y‖) < ‖f d‖ := by
rcases Filter.nonempty_of_mem hsl with ⟨c, hc⟩
have : ∀ᶠ x in l, (‖f c‖ + ∫ y in k, C * ‖g y‖) < ‖f x‖ :=
hf.eventually (eventually_gt_atTop _)
exact ⟨c, hc, (this.and hsl).exists.imp fun d hd => ⟨hd.2, hd.1⟩⟩
specialize hsub c hc d hd; specialize hfd c hc d hd
replace hg : ∀ x ∈ Ι c d, ‖deriv f x‖ ≤ C * ‖g x‖ :=
fun z hz => hg c hc d hd z ⟨hz.1.le, hz.2⟩
have hg_ae : ∀ᵐ x ∂volume.restrict (Ι c d), ‖deriv f x‖ ≤ C * ‖g x‖ :=
(ae_restrict_mem measurableSet_uIoc).mono hg
have hsub' : Ι c d ⊆ k := Subset.trans Ioc_subset_Icc_self hsub
have hfi : IntervalIntegrable (deriv f) volume c d := by
rw [intervalIntegrable_iff]
have : IntegrableOn (fun x ↦ C * ‖g x‖) (Ι c d) := IntegrableOn.mono hgi hsub' le_rfl
exact Integrable.mono' this (aestronglyMeasurable_deriv _ _) hg_ae
refine hlt.not_le (sub_le_iff_le_add'.1 ?_)
calc
‖f d‖ - ‖f c‖ ≤ ‖f d - f c‖ := norm_sub_norm_le _ _
_ = ‖∫ x in c..d, deriv f x‖ := congr_arg _ (integral_deriv_eq_sub hfd hfi).symm
_ = ‖∫ x in Ι c d, deriv f x‖ := norm_integral_eq_norm_integral_Ioc _
_ ≤ ∫ x in Ι c d, ‖deriv f x‖ := norm_integral_le_integral_norm _
_ ≤ ∫ x in Ι c d, C * ‖g x‖ :=
setIntegral_mono_on hfi.norm.def' (hgi.mono_set hsub') measurableSet_uIoc hg
_ ≤ ∫ x in k, C * ‖g x‖ := by
apply setIntegral_mono_set hgi
(ae_of_all _ fun x => mul_nonneg hC₀ (norm_nonneg _)) hsub'.eventuallyLE
theorem not_integrableOn_of_tendsto_norm_atTop_of_deriv_isBigO_filter
{f : ℝ → E} {g : ℝ → F}
{k : Set ℝ} (l : Filter ℝ) [NeBot l] [TendstoIxxClass Icc l l]
(hl : k ∈ l) (hd : ∀ᶠ x in l, DifferentiableAt ℝ f x) (hf : Tendsto (fun x => ‖f x‖) l atTop)
(hfg : deriv f =O[l] g) : ¬IntegrableOn g k := by
let a : E →ₗᵢ[ℝ] UniformSpace.Completion E := UniformSpace.Completion.toComplₗᵢ
let f' := a ∘ f
have h'd : ∀ᶠ x in l, DifferentiableAt ℝ f' x := by
filter_upwards [hd] with x hx using a.toContinuousLinearMap.differentiableAt.comp x hx
have h'f : Tendsto (fun x => ‖f' x‖) l atTop := hf.congr (fun x ↦ by simp [f'])
have h'fg : deriv f' =O[l] g := by
apply IsBigO.trans _ hfg
rw [← isBigO_norm_norm]
suffices (fun x ↦ ‖deriv f' x‖) =ᶠ[l] (fun x ↦ ‖deriv f x‖) by exact this.isBigO
filter_upwards [hd] with x hx
have : deriv f' x = a (deriv f x) := by
rw [fderiv.comp_deriv x _ hx]
· have : fderiv ℝ a (f x) = a.toContinuousLinearMap := a.toContinuousLinearMap.fderiv
simp only [this]
rfl
· exact a.toContinuousLinearMap.differentiableAt
simp only [this]
simp
exact not_integrableOn_of_tendsto_norm_atTop_of_deriv_isBigO_filter_aux l hl h'd h'f h'fg
theorem not_intervalIntegrable_of_tendsto_norm_atTop_of_deriv_isBigO_filter {f : ℝ → E} {g : ℝ → F}
{a b : ℝ} (l : Filter ℝ) [NeBot l] [TendstoIxxClass Icc l l] (hl : [[a, b]] ∈ l)
(hd : ∀ᶠ x in l, DifferentiableAt ℝ f x) (hf : Tendsto (fun x => ‖f x‖) l atTop)
(hfg : deriv f =O[l] g) : ¬IntervalIntegrable g volume a b := by
rw [intervalIntegrable_iff']
exact not_integrableOn_of_tendsto_norm_atTop_of_deriv_isBigO_filter _ hl hd hf hfg
set_option linter.uppercaseLean3 false in
#align not_interval_integrable_of_tendsto_norm_at_top_of_deriv_is_O_filter not_intervalIntegrable_of_tendsto_norm_atTop_of_deriv_isBigO_filter
theorem not_intervalIntegrable_of_tendsto_norm_atTop_of_deriv_isBigO_within_diff_singleton
{f : ℝ → E} {g : ℝ → F} {a b c : ℝ} (hne : a ≠ b) (hc : c ∈ [[a, b]])
(h_deriv : ∀ᶠ x in 𝓝[[[a, b]] \ {c}] c, DifferentiableAt ℝ f x)
(h_infty : Tendsto (fun x => ‖f x‖) (𝓝[[[a, b]] \ {c}] c) atTop)
(hg : deriv f =O[𝓝[[[a, b]] \ {c}] c] g) : ¬IntervalIntegrable g volume a b := by
obtain ⟨l, hl, hl', hle, hmem⟩ :
∃ l : Filter ℝ, TendstoIxxClass Icc l l ∧ l.NeBot ∧ l ≤ 𝓝 c ∧ [[a, b]] \ {c} ∈ l := by
cases' (min_lt_max.2 hne).lt_or_lt c with hlt hlt
· refine ⟨𝓝[<] c, inferInstance, inferInstance, inf_le_left, ?_⟩
rw [← Iic_diff_right]
exact diff_mem_nhdsWithin_diff (Icc_mem_nhdsWithin_Iic ⟨hlt, hc.2⟩) _
· refine ⟨𝓝[>] c, inferInstance, inferInstance, inf_le_left, ?_⟩
rw [← Ici_diff_left]
exact diff_mem_nhdsWithin_diff (Icc_mem_nhdsWithin_Ici ⟨hc.1, hlt⟩) _
have : l ≤ 𝓝[[[a, b]] \ {c}] c := le_inf hle (le_principal_iff.2 hmem)
exact not_intervalIntegrable_of_tendsto_norm_atTop_of_deriv_isBigO_filter l
(mem_of_superset hmem diff_subset) (h_deriv.filter_mono this) (h_infty.mono_left this)
(hg.mono this)
set_option linter.uppercaseLean3 false in
#align not_interval_integrable_of_tendsto_norm_at_top_of_deriv_is_O_within_diff_singleton not_intervalIntegrable_of_tendsto_norm_atTop_of_deriv_isBigO_within_diff_singleton
theorem not_intervalIntegrable_of_tendsto_norm_atTop_of_deriv_isBigO_punctured {f : ℝ → E}
{g : ℝ → F} {a b c : ℝ} (h_deriv : ∀ᶠ x in 𝓝[≠] c, DifferentiableAt ℝ f x)
(h_infty : Tendsto (fun x => ‖f x‖) (𝓝[≠] c) atTop) (hg : deriv f =O[𝓝[≠] c] g) (hne : a ≠ b)
(hc : c ∈ [[a, b]]) : ¬IntervalIntegrable g volume a b :=
have : 𝓝[[[a, b]] \ {c}] c ≤ 𝓝[≠] c := nhdsWithin_mono _ inter_subset_right
not_intervalIntegrable_of_tendsto_norm_atTop_of_deriv_isBigO_within_diff_singleton hne hc
(h_deriv.filter_mono this) (h_infty.mono_left this) (hg.mono this)
set_option linter.uppercaseLean3 false in
#align not_interval_integrable_of_tendsto_norm_at_top_of_deriv_is_O_punctured not_intervalIntegrable_of_tendsto_norm_atTop_of_deriv_isBigO_punctured
theorem not_intervalIntegrable_of_sub_inv_isBigO_punctured {f : ℝ → F} {a b c : ℝ}
(hf : (fun x => (x - c)⁻¹) =O[𝓝[≠] c] f) (hne : a ≠ b) (hc : c ∈ [[a, b]]) :
¬IntervalIntegrable f volume a b := by
have A : ∀ᶠ x in 𝓝[≠] c, HasDerivAt (fun x => Real.log (x - c)) (x - c)⁻¹ x := by
filter_upwards [self_mem_nhdsWithin] with x hx
simpa using ((hasDerivAt_id x).sub_const c).log (sub_ne_zero.2 hx)
have B : Tendsto (fun x => ‖Real.log (x - c)‖) (𝓝[≠] c) atTop := by
refine tendsto_abs_atBot_atTop.comp (Real.tendsto_log_nhdsWithin_zero.comp ?_)
rw [← sub_self c]
exact ((hasDerivAt_id c).sub_const c).tendsto_punctured_nhds one_ne_zero
exact not_intervalIntegrable_of_tendsto_norm_atTop_of_deriv_isBigO_punctured
(A.mono fun x hx => hx.differentiableAt) B
(hf.congr' (A.mono fun x hx => hx.deriv.symm) EventuallyEq.rfl) hne hc
set_option linter.uppercaseLean3 false in
#align not_interval_integrable_of_sub_inv_is_O_punctured not_intervalIntegrable_of_sub_inv_isBigO_punctured
@[simp]
theorem intervalIntegrable_sub_inv_iff {a b c : ℝ} :
IntervalIntegrable (fun x => (x - c)⁻¹) volume a b ↔ a = b ∨ c ∉ [[a, b]] := by
constructor
· refine fun h => or_iff_not_imp_left.2 fun hne hc => ?_
exact not_intervalIntegrable_of_sub_inv_isBigO_punctured (isBigO_refl _ _) hne hc h
· rintro (rfl | h₀)
· exact IntervalIntegrable.refl
refine ((continuous_sub_right c).continuousOn.inv₀ ?_).intervalIntegrable
exact fun x hx => sub_ne_zero.2 <| ne_of_mem_of_not_mem hx h₀
#align interval_integrable_sub_inv_iff intervalIntegrable_sub_inv_iff
@[simp]
theorem intervalIntegrable_inv_iff {a b : ℝ} :
IntervalIntegrable (fun x => x⁻¹) volume a b ↔ a = b ∨ (0 : ℝ) ∉ [[a, b]] := by
simp only [← intervalIntegrable_sub_inv_iff, sub_zero]
#align interval_integrable_inv_iff intervalIntegrable_inv_iff
| Mathlib/Analysis/SpecialFunctions/NonIntegrable.lean | 216 | 224 | theorem not_IntegrableOn_Ici_inv {a : ℝ} :
¬ IntegrableOn (fun x => x⁻¹) (Ici a) := by |
have A : ∀ᶠ x in atTop, HasDerivAt (fun x => Real.log x) x⁻¹ x := by
filter_upwards [Ioi_mem_atTop 0] with x hx using Real.hasDerivAt_log (ne_of_gt hx)
have B : Tendsto (fun x => ‖Real.log x‖) atTop atTop :=
tendsto_norm_atTop_atTop.comp Real.tendsto_log_atTop
exact not_integrableOn_of_tendsto_norm_atTop_of_deriv_isBigO_filter atTop (Ici_mem_atTop a)
(A.mono (fun x hx ↦ hx.differentiableAt)) B
(Filter.EventuallyEq.isBigO (A.mono (fun x hx ↦ hx.deriv)))
|
import Mathlib.RingTheory.Ideal.Maps
#align_import ring_theory.ideal.prod from "leanprover-community/mathlib"@"052f6013363326d50cb99c6939814a4b8eb7b301"
universe u v
variable {R : Type u} {S : Type v} [Semiring R] [Semiring S] (I I' : Ideal R) (J J' : Ideal S)
namespace Ideal
def prod : Ideal (R × S) where
carrier := { x | x.fst ∈ I ∧ x.snd ∈ J }
zero_mem' := by simp
add_mem' := by
rintro ⟨a₁, a₂⟩ ⟨b₁, b₂⟩ ⟨ha₁, ha₂⟩ ⟨hb₁, hb₂⟩
exact ⟨I.add_mem ha₁ hb₁, J.add_mem ha₂ hb₂⟩
smul_mem' := by
rintro ⟨a₁, a₂⟩ ⟨b₁, b₂⟩ ⟨hb₁, hb₂⟩
exact ⟨I.mul_mem_left _ hb₁, J.mul_mem_left _ hb₂⟩
#align ideal.prod Ideal.prod
@[simp]
theorem mem_prod {r : R} {s : S} : (⟨r, s⟩ : R × S) ∈ prod I J ↔ r ∈ I ∧ s ∈ J :=
Iff.rfl
#align ideal.mem_prod Ideal.mem_prod
@[simp]
theorem prod_top_top : prod (⊤ : Ideal R) (⊤ : Ideal S) = ⊤ :=
Ideal.ext <| by simp
#align ideal.prod_top_top Ideal.prod_top_top
theorem ideal_prod_eq (I : Ideal (R × S)) :
I = Ideal.prod (map (RingHom.fst R S) I : Ideal R) (map (RingHom.snd R S) I) := by
apply Ideal.ext
rintro ⟨r, s⟩
rw [mem_prod, mem_map_iff_of_surjective (RingHom.fst R S) Prod.fst_surjective,
mem_map_iff_of_surjective (RingHom.snd R S) Prod.snd_surjective]
refine ⟨fun h => ⟨⟨_, ⟨h, rfl⟩⟩, ⟨_, ⟨h, rfl⟩⟩⟩, ?_⟩
rintro ⟨⟨⟨r, s'⟩, ⟨h₁, rfl⟩⟩, ⟨⟨r', s⟩, ⟨h₂, rfl⟩⟩⟩
simpa using I.add_mem (I.mul_mem_left (1, 0) h₁) (I.mul_mem_left (0, 1) h₂)
#align ideal.ideal_prod_eq Ideal.ideal_prod_eq
@[simp]
theorem map_fst_prod (I : Ideal R) (J : Ideal S) : map (RingHom.fst R S) (prod I J) = I := by
ext x
rw [mem_map_iff_of_surjective (RingHom.fst R S) Prod.fst_surjective]
exact
⟨by
rintro ⟨x, ⟨h, rfl⟩⟩
exact h.1, fun h => ⟨⟨x, 0⟩, ⟨⟨h, Ideal.zero_mem _⟩, rfl⟩⟩⟩
#align ideal.map_fst_prod Ideal.map_fst_prod
@[simp]
theorem map_snd_prod (I : Ideal R) (J : Ideal S) : map (RingHom.snd R S) (prod I J) = J := by
ext x
rw [mem_map_iff_of_surjective (RingHom.snd R S) Prod.snd_surjective]
exact
⟨by
rintro ⟨x, ⟨h, rfl⟩⟩
exact h.2, fun h => ⟨⟨0, x⟩, ⟨⟨Ideal.zero_mem _, h⟩, rfl⟩⟩⟩
#align ideal.map_snd_prod Ideal.map_snd_prod
@[simp]
| Mathlib/RingTheory/Ideal/Prod.lean | 82 | 85 | theorem map_prodComm_prod :
map ((RingEquiv.prodComm : R × S ≃+* S × R) : R × S →+* S × R) (prod I J) = prod J I := by |
refine Trans.trans (ideal_prod_eq _) ?_
simp [map_map]
|
import Mathlib.Algebra.CharZero.Lemmas
import Mathlib.Algebra.GroupWithZero.Commute
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Algebra.Order.Ring.Pow
import Mathlib.Algebra.Ring.Int
#align_import algebra.order.field.power from "leanprover-community/mathlib"@"acb3d204d4ee883eb686f45d486a2a6811a01329"
variable {α : Type*}
open Function Int
section LinearOrderedField
variable [LinearOrderedField α] {a b c d : α} {n : ℤ}
#noalign zpow_bit0_nonneg
#noalign zpow_bit0_pos
#noalign zpow_bit0_pos_iff
#noalign zpow_bit1_neg_iff
#noalign zpow_bit1_nonneg_iff
#noalign zpow_bit1_nonpos_iff
#noalign zpow_bit1_pos_iff
protected theorem Even.zpow_nonneg (hn : Even n) (a : α) : 0 ≤ a ^ n := by
obtain ⟨k, rfl⟩ := hn; rw [zpow_add' (by simp [em'])]; exact mul_self_nonneg _
#align even.zpow_nonneg Even.zpow_nonneg
lemma zpow_two_nonneg (a : α) : 0 ≤ a ^ (2 : ℤ) := even_two.zpow_nonneg _
#align zpow_two_nonneg zpow_two_nonneg
lemma zpow_neg_two_nonneg (a : α) : 0 ≤ a ^ (-2 : ℤ) := even_neg_two.zpow_nonneg _
#align zpow_neg_two_nonneg zpow_neg_two_nonneg
protected lemma Even.zpow_pos (hn : Even n) (ha : a ≠ 0) : 0 < a ^ n :=
(hn.zpow_nonneg _).lt_of_ne' (zpow_ne_zero _ ha)
#align even.zpow_pos Even.zpow_pos
lemma zpow_two_pos_of_ne_zero (ha : a ≠ 0) : 0 < a ^ (2 : ℤ) := even_two.zpow_pos ha
#align zpow_two_pos_of_ne_zero zpow_two_pos_of_ne_zero
theorem Even.zpow_pos_iff (hn : Even n) (h : n ≠ 0) : 0 < a ^ n ↔ a ≠ 0 := by
obtain ⟨k, rfl⟩ := hn
rw [zpow_add' (by simp [em']), mul_self_pos, zpow_ne_zero_iff (by simpa using h)]
#align even.zpow_pos_iff Even.zpow_pos_iff
theorem Odd.zpow_neg_iff (hn : Odd n) : a ^ n < 0 ↔ a < 0 := by
refine ⟨lt_imp_lt_of_le_imp_le (zpow_nonneg · _), fun ha ↦ ?_⟩
obtain ⟨k, rfl⟩ := hn
rw [zpow_add_one₀ ha.ne]
exact mul_neg_of_pos_of_neg (Even.zpow_pos (even_two_mul _) ha.ne) ha
#align odd.zpow_neg_iff Odd.zpow_neg_iff
protected lemma Odd.zpow_nonneg_iff (hn : Odd n) : 0 ≤ a ^ n ↔ 0 ≤ a :=
le_iff_le_iff_lt_iff_lt.2 hn.zpow_neg_iff
#align odd.zpow_nonneg_iff Odd.zpow_nonneg_iff
| Mathlib/Algebra/Order/Field/Power.lean | 166 | 169 | theorem Odd.zpow_nonpos_iff (hn : Odd n) : a ^ n ≤ 0 ↔ a ≤ 0 := by |
rw [le_iff_lt_or_eq, le_iff_lt_or_eq, hn.zpow_neg_iff, zpow_eq_zero_iff]
rintro rfl
exact Int.odd_iff_not_even.1 hn even_zero
|
import Mathlib.Order.Filter.SmallSets
import Mathlib.Tactic.Monotonicity
import Mathlib.Topology.Compactness.Compact
import Mathlib.Topology.NhdsSet
import Mathlib.Algebra.Group.Defs
#align_import topology.uniform_space.basic from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c"
open Set Filter Topology
universe u v ua ub uc ud
variable {α : Type ua} {β : Type ub} {γ : Type uc} {δ : Type ud} {ι : Sort*}
def idRel {α : Type*} :=
{ p : α × α | p.1 = p.2 }
#align id_rel idRel
@[simp]
theorem mem_idRel {a b : α} : (a, b) ∈ @idRel α ↔ a = b :=
Iff.rfl
#align mem_id_rel mem_idRel
@[simp]
theorem idRel_subset {s : Set (α × α)} : idRel ⊆ s ↔ ∀ a, (a, a) ∈ s := by
simp [subset_def]
#align id_rel_subset idRel_subset
def compRel (r₁ r₂ : Set (α × α)) :=
{ p : α × α | ∃ z : α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂ }
#align comp_rel compRel
@[inherit_doc]
scoped[Uniformity] infixl:62 " ○ " => compRel
open Uniformity
@[simp]
theorem mem_compRel {α : Type u} {r₁ r₂ : Set (α × α)} {x y : α} :
(x, y) ∈ r₁ ○ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ :=
Iff.rfl
#align mem_comp_rel mem_compRel
@[simp]
theorem swap_idRel : Prod.swap '' idRel = @idRel α :=
Set.ext fun ⟨a, b⟩ => by simpa [image_swap_eq_preimage_swap] using eq_comm
#align swap_id_rel swap_idRel
theorem Monotone.compRel [Preorder β] {f g : β → Set (α × α)} (hf : Monotone f) (hg : Monotone g) :
Monotone fun x => f x ○ g x := fun _ _ h _ ⟨z, h₁, h₂⟩ => ⟨z, hf h h₁, hg h h₂⟩
#align monotone.comp_rel Monotone.compRel
@[mono]
theorem compRel_mono {f g h k : Set (α × α)} (h₁ : f ⊆ h) (h₂ : g ⊆ k) : f ○ g ⊆ h ○ k :=
fun _ ⟨z, h, h'⟩ => ⟨z, h₁ h, h₂ h'⟩
#align comp_rel_mono compRel_mono
theorem prod_mk_mem_compRel {a b c : α} {s t : Set (α × α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) :
(a, b) ∈ s ○ t :=
⟨c, h₁, h₂⟩
#align prod_mk_mem_comp_rel prod_mk_mem_compRel
@[simp]
theorem id_compRel {r : Set (α × α)} : idRel ○ r = r :=
Set.ext fun ⟨a, b⟩ => by simp
#align id_comp_rel id_compRel
theorem compRel_assoc {r s t : Set (α × α)} : r ○ s ○ t = r ○ (s ○ t) := by
ext ⟨a, b⟩; simp only [mem_compRel]; tauto
#align comp_rel_assoc compRel_assoc
theorem left_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ t) : s ⊆ s ○ t := fun ⟨_x, y⟩ xy_in =>
⟨y, xy_in, h <| rfl⟩
#align left_subset_comp_rel left_subset_compRel
theorem right_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ s) : t ⊆ s ○ t := fun ⟨x, _y⟩ xy_in =>
⟨x, h <| rfl, xy_in⟩
#align right_subset_comp_rel right_subset_compRel
theorem subset_comp_self {s : Set (α × α)} (h : idRel ⊆ s) : s ⊆ s ○ s :=
left_subset_compRel h
#align subset_comp_self subset_comp_self
theorem subset_iterate_compRel {s t : Set (α × α)} (h : idRel ⊆ s) (n : ℕ) :
t ⊆ (s ○ ·)^[n] t := by
induction' n with n ihn generalizing t
exacts [Subset.rfl, (right_subset_compRel h).trans ihn]
#align subset_iterate_comp_rel subset_iterate_compRel
def SymmetricRel (V : Set (α × α)) : Prop :=
Prod.swap ⁻¹' V = V
#align symmetric_rel SymmetricRel
def symmetrizeRel (V : Set (α × α)) : Set (α × α) :=
V ∩ Prod.swap ⁻¹' V
#align symmetrize_rel symmetrizeRel
theorem symmetric_symmetrizeRel (V : Set (α × α)) : SymmetricRel (symmetrizeRel V) := by
simp [SymmetricRel, symmetrizeRel, preimage_inter, inter_comm, ← preimage_comp]
#align symmetric_symmetrize_rel symmetric_symmetrizeRel
theorem symmetrizeRel_subset_self (V : Set (α × α)) : symmetrizeRel V ⊆ V :=
sep_subset _ _
#align symmetrize_rel_subset_self symmetrizeRel_subset_self
@[mono]
theorem symmetrize_mono {V W : Set (α × α)} (h : V ⊆ W) : symmetrizeRel V ⊆ symmetrizeRel W :=
inter_subset_inter h <| preimage_mono h
#align symmetrize_mono symmetrize_mono
theorem SymmetricRel.mk_mem_comm {V : Set (α × α)} (hV : SymmetricRel V) {x y : α} :
(x, y) ∈ V ↔ (y, x) ∈ V :=
Set.ext_iff.1 hV (y, x)
#align symmetric_rel.mk_mem_comm SymmetricRel.mk_mem_comm
theorem SymmetricRel.eq {U : Set (α × α)} (hU : SymmetricRel U) : Prod.swap ⁻¹' U = U :=
hU
#align symmetric_rel.eq SymmetricRel.eq
theorem SymmetricRel.inter {U V : Set (α × α)} (hU : SymmetricRel U) (hV : SymmetricRel V) :
SymmetricRel (U ∩ V) := by rw [SymmetricRel, preimage_inter, hU.eq, hV.eq]
#align symmetric_rel.inter SymmetricRel.inter
structure UniformSpace.Core (α : Type u) where
uniformity : Filter (α × α)
refl : 𝓟 idRel ≤ uniformity
symm : Tendsto Prod.swap uniformity uniformity
comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
#align uniform_space.core UniformSpace.Core
protected theorem UniformSpace.Core.comp_mem_uniformity_sets {c : Core α} {s : Set (α × α)}
(hs : s ∈ c.uniformity) : ∃ t ∈ c.uniformity, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| c.comp hs
def UniformSpace.Core.mk' {α : Type u} (U : Filter (α × α)) (refl : ∀ r ∈ U, ∀ (x), (x, x) ∈ r)
(symm : ∀ r ∈ U, Prod.swap ⁻¹' r ∈ U) (comp : ∀ r ∈ U, ∃ t ∈ U, t ○ t ⊆ r) :
UniformSpace.Core α :=
⟨U, fun _r ru => idRel_subset.2 (refl _ ru), symm, fun _r ru =>
let ⟨_s, hs, hsr⟩ := comp _ ru
mem_of_superset (mem_lift' hs) hsr⟩
#align uniform_space.core.mk' UniformSpace.Core.mk'
def UniformSpace.Core.mkOfBasis {α : Type u} (B : FilterBasis (α × α))
(refl : ∀ r ∈ B, ∀ (x), (x, x) ∈ r) (symm : ∀ r ∈ B, ∃ t ∈ B, t ⊆ Prod.swap ⁻¹' r)
(comp : ∀ r ∈ B, ∃ t ∈ B, t ○ t ⊆ r) : UniformSpace.Core α where
uniformity := B.filter
refl := B.hasBasis.ge_iff.mpr fun _r ru => idRel_subset.2 <| refl _ ru
symm := (B.hasBasis.tendsto_iff B.hasBasis).mpr symm
comp := (HasBasis.le_basis_iff (B.hasBasis.lift' (monotone_id.compRel monotone_id))
B.hasBasis).2 comp
#align uniform_space.core.mk_of_basis UniformSpace.Core.mkOfBasis
def UniformSpace.Core.toTopologicalSpace {α : Type u} (u : UniformSpace.Core α) :
TopologicalSpace α :=
.mkOfNhds fun x ↦ .comap (Prod.mk x) u.uniformity
#align uniform_space.core.to_topological_space UniformSpace.Core.toTopologicalSpace
theorem UniformSpace.Core.ext :
∀ {u₁ u₂ : UniformSpace.Core α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align uniform_space.core_eq UniformSpace.Core.ext
theorem UniformSpace.Core.nhds_toTopologicalSpace {α : Type u} (u : Core α) (x : α) :
@nhds α u.toTopologicalSpace x = comap (Prod.mk x) u.uniformity := by
apply TopologicalSpace.nhds_mkOfNhds_of_hasBasis (fun _ ↦ (basis_sets _).comap _)
· exact fun a U hU ↦ u.refl hU rfl
· intro a U hU
rcases u.comp_mem_uniformity_sets hU with ⟨V, hV, hVU⟩
filter_upwards [preimage_mem_comap hV] with b hb
filter_upwards [preimage_mem_comap hV] with c hc
exact hVU ⟨b, hb, hc⟩
-- the topological structure is embedded in the uniform structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
class UniformSpace (α : Type u) extends TopologicalSpace α where
protected uniformity : Filter (α × α)
protected symm : Tendsto Prod.swap uniformity uniformity
protected comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
protected nhds_eq_comap_uniformity (x : α) : 𝓝 x = comap (Prod.mk x) uniformity
#align uniform_space UniformSpace
#noalign uniform_space.mk' -- Can't be a `match_pattern`, so not useful anymore
def uniformity (α : Type u) [UniformSpace α] : Filter (α × α) :=
@UniformSpace.uniformity α _
#align uniformity uniformity
scoped[Uniformity] notation "𝓤[" u "]" => @uniformity _ u
@[inherit_doc] -- Porting note (#11215): TODO: should we drop the `uniformity` def?
scoped[Uniformity] notation "𝓤" => uniformity
abbrev UniformSpace.ofCoreEq {α : Type u} (u : UniformSpace.Core α) (t : TopologicalSpace α)
(h : t = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := t
nhds_eq_comap_uniformity x := by rw [h, u.nhds_toTopologicalSpace]
#align uniform_space.of_core_eq UniformSpace.ofCoreEq
abbrev UniformSpace.ofCore {α : Type u} (u : UniformSpace.Core α) : UniformSpace α :=
.ofCoreEq u _ rfl
#align uniform_space.of_core UniformSpace.ofCore
abbrev UniformSpace.toCore (u : UniformSpace α) : UniformSpace.Core α where
__ := u
refl := by
rintro U hU ⟨x, y⟩ (rfl : x = y)
have : Prod.mk x ⁻¹' U ∈ 𝓝 x := by
rw [UniformSpace.nhds_eq_comap_uniformity]
exact preimage_mem_comap hU
convert mem_of_mem_nhds this
theorem UniformSpace.toCore_toTopologicalSpace (u : UniformSpace α) :
u.toCore.toTopologicalSpace = u.toTopologicalSpace :=
TopologicalSpace.ext_nhds fun a ↦ by
rw [u.nhds_eq_comap_uniformity, u.toCore.nhds_toTopologicalSpace]
#align uniform_space.to_core_to_topological_space UniformSpace.toCore_toTopologicalSpace
@[deprecated UniformSpace.mk (since := "2024-03-20")]
def UniformSpace.ofNhdsEqComap (u : UniformSpace.Core α) (_t : TopologicalSpace α)
(h : ∀ x, 𝓝 x = u.uniformity.comap (Prod.mk x)) : UniformSpace α where
__ := u
nhds_eq_comap_uniformity := h
@[ext]
protected theorem UniformSpace.ext {u₁ u₂ : UniformSpace α} (h : 𝓤[u₁] = 𝓤[u₂]) : u₁ = u₂ := by
have : u₁.toTopologicalSpace = u₂.toTopologicalSpace := TopologicalSpace.ext_nhds fun x ↦ by
rw [u₁.nhds_eq_comap_uniformity, u₂.nhds_eq_comap_uniformity]
exact congr_arg (comap _) h
cases u₁; cases u₂; congr
#align uniform_space_eq UniformSpace.ext
protected theorem UniformSpace.ext_iff {u₁ u₂ : UniformSpace α} :
u₁ = u₂ ↔ ∀ s, s ∈ 𝓤[u₁] ↔ s ∈ 𝓤[u₂] :=
⟨fun h _ => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
theorem UniformSpace.ofCoreEq_toCore (u : UniformSpace α) (t : TopologicalSpace α)
(h : t = u.toCore.toTopologicalSpace) : .ofCoreEq u.toCore t h = u :=
UniformSpace.ext rfl
#align uniform_space.of_core_eq_to_core UniformSpace.ofCoreEq_toCore
abbrev UniformSpace.replaceTopology {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := i
nhds_eq_comap_uniformity x := by rw [h, u.nhds_eq_comap_uniformity]
#align uniform_space.replace_topology UniformSpace.replaceTopology
theorem UniformSpace.replaceTopology_eq {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : u.replaceTopology h = u :=
UniformSpace.ext rfl
#align uniform_space.replace_topology_eq UniformSpace.replaceTopology_eq
-- Porting note: rfc: use `UniformSpace.Core.mkOfBasis`? This will change defeq here and there
def UniformSpace.ofFun {α : Type u} {β : Type v} [OrderedAddCommMonoid β]
(d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
UniformSpace α :=
.ofCore
{ uniformity := ⨅ r > 0, 𝓟 { x | d x.1 x.2 < r }
refl := le_iInf₂ fun r hr => principal_mono.2 <| idRel_subset.2 fun x => by simpa [refl]
symm := tendsto_iInf_iInf fun r => tendsto_iInf_iInf fun _ => tendsto_principal_principal.2
fun x hx => by rwa [mem_setOf, symm]
comp := le_iInf₂ fun r hr => let ⟨δ, h0, hδr⟩ := half r hr; le_principal_iff.2 <|
mem_of_superset
(mem_lift' <| mem_iInf_of_mem δ <| mem_iInf_of_mem h0 <| mem_principal_self _)
fun (x, z) ⟨y, h₁, h₂⟩ => (triangle _ _ _).trans_lt (hδr _ h₁ _ h₂) }
#align uniform_space.of_fun UniformSpace.ofFun
theorem UniformSpace.hasBasis_ofFun {α : Type u} {β : Type v} [LinearOrderedAddCommMonoid β]
(h₀ : ∃ x : β, 0 < x) (d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
𝓤[.ofFun d refl symm triangle half].HasBasis ((0 : β) < ·) (fun ε => { x | d x.1 x.2 < ε }) :=
hasBasis_biInf_principal'
(fun ε₁ h₁ ε₂ h₂ => ⟨min ε₁ ε₂, lt_min h₁ h₂, fun _x hx => lt_of_lt_of_le hx (min_le_left _ _),
fun _x hx => lt_of_lt_of_le hx (min_le_right _ _)⟩) h₀
#align uniform_space.has_basis_of_fun UniformSpace.hasBasis_ofFun
section UniformSpace
variable [UniformSpace α]
theorem nhds_eq_comap_uniformity {x : α} : 𝓝 x = (𝓤 α).comap (Prod.mk x) :=
UniformSpace.nhds_eq_comap_uniformity x
#align nhds_eq_comap_uniformity nhds_eq_comap_uniformity
theorem isOpen_uniformity {s : Set α} :
IsOpen s ↔ ∀ x ∈ s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align is_open_uniformity isOpen_uniformity
theorem refl_le_uniformity : 𝓟 idRel ≤ 𝓤 α :=
(@UniformSpace.toCore α _).refl
#align refl_le_uniformity refl_le_uniformity
instance uniformity.neBot [Nonempty α] : NeBot (𝓤 α) :=
diagonal_nonempty.principal_neBot.mono refl_le_uniformity
#align uniformity.ne_bot uniformity.neBot
theorem refl_mem_uniformity {x : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) : (x, x) ∈ s :=
refl_le_uniformity h rfl
#align refl_mem_uniformity refl_mem_uniformity
theorem mem_uniformity_of_eq {x y : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) (hx : x = y) : (x, y) ∈ s :=
refl_le_uniformity h hx
#align mem_uniformity_of_eq mem_uniformity_of_eq
theorem symm_le_uniformity : map (@Prod.swap α α) (𝓤 _) ≤ 𝓤 _ :=
UniformSpace.symm
#align symm_le_uniformity symm_le_uniformity
theorem comp_le_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) ≤ 𝓤 α :=
UniformSpace.comp
#align comp_le_uniformity comp_le_uniformity
theorem lift'_comp_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) = 𝓤 α :=
comp_le_uniformity.antisymm <| le_lift'.2 fun _s hs ↦ mem_of_superset hs <|
subset_comp_self <| idRel_subset.2 fun _ ↦ refl_mem_uniformity hs
theorem tendsto_swap_uniformity : Tendsto (@Prod.swap α α) (𝓤 α) (𝓤 α) :=
symm_le_uniformity
#align tendsto_swap_uniformity tendsto_swap_uniformity
theorem comp_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| comp_le_uniformity hs
#align comp_mem_uniformity_sets comp_mem_uniformity_sets
theorem eventually_uniformity_iterate_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) (n : ℕ) :
∀ᶠ t in (𝓤 α).smallSets, (t ○ ·)^[n] t ⊆ s := by
suffices ∀ᶠ t in (𝓤 α).smallSets, t ⊆ s ∧ (t ○ ·)^[n] t ⊆ s from (eventually_and.1 this).2
induction' n with n ihn generalizing s
· simpa
rcases comp_mem_uniformity_sets hs with ⟨t, htU, hts⟩
refine (ihn htU).mono fun U hU => ?_
rw [Function.iterate_succ_apply']
exact
⟨hU.1.trans <| (subset_comp_self <| refl_le_uniformity htU).trans hts,
(compRel_mono hU.1 hU.2).trans hts⟩
#align eventually_uniformity_iterate_comp_subset eventually_uniformity_iterate_comp_subset
theorem eventually_uniformity_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∀ᶠ t in (𝓤 α).smallSets, t ○ t ⊆ s :=
eventually_uniformity_iterate_comp_subset hs 1
#align eventually_uniformity_comp_subset eventually_uniformity_comp_subset
theorem Filter.Tendsto.uniformity_trans {l : Filter β} {f₁ f₂ f₃ : β → α}
(h₁₂ : Tendsto (fun x => (f₁ x, f₂ x)) l (𝓤 α))
(h₂₃ : Tendsto (fun x => (f₂ x, f₃ x)) l (𝓤 α)) : Tendsto (fun x => (f₁ x, f₃ x)) l (𝓤 α) := by
refine le_trans (le_lift'.2 fun s hs => mem_map.2 ?_) comp_le_uniformity
filter_upwards [mem_map.1 (h₁₂ hs), mem_map.1 (h₂₃ hs)] with x hx₁₂ hx₂₃ using ⟨_, hx₁₂, hx₂₃⟩
#align filter.tendsto.uniformity_trans Filter.Tendsto.uniformity_trans
theorem Filter.Tendsto.uniformity_symm {l : Filter β} {f : β → α × α} (h : Tendsto f l (𝓤 α)) :
Tendsto (fun x => ((f x).2, (f x).1)) l (𝓤 α) :=
tendsto_swap_uniformity.comp h
#align filter.tendsto.uniformity_symm Filter.Tendsto.uniformity_symm
theorem tendsto_diag_uniformity (f : β → α) (l : Filter β) :
Tendsto (fun x => (f x, f x)) l (𝓤 α) := fun _s hs =>
mem_map.2 <| univ_mem' fun _ => refl_mem_uniformity hs
#align tendsto_diag_uniformity tendsto_diag_uniformity
theorem tendsto_const_uniformity {a : α} {f : Filter β} : Tendsto (fun _ => (a, a)) f (𝓤 α) :=
tendsto_diag_uniformity (fun _ => a) f
#align tendsto_const_uniformity tendsto_const_uniformity
theorem symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ a b, (a, b) ∈ t → (b, a) ∈ t) ∧ t ⊆ s :=
have : preimage Prod.swap s ∈ 𝓤 α := symm_le_uniformity hs
⟨s ∩ preimage Prod.swap s, inter_mem hs this, fun _ _ ⟨h₁, h₂⟩ => ⟨h₂, h₁⟩, inter_subset_left⟩
#align symm_of_uniformity symm_of_uniformity
theorem comp_symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ {a b}, (a, b) ∈ t → (b, a) ∈ t) ∧ t ○ t ⊆ s :=
let ⟨_t, ht₁, ht₂⟩ := comp_mem_uniformity_sets hs
let ⟨t', ht', ht'₁, ht'₂⟩ := symm_of_uniformity ht₁
⟨t', ht', ht'₁ _ _, Subset.trans (monotone_id.compRel monotone_id ht'₂) ht₂⟩
#align comp_symm_of_uniformity comp_symm_of_uniformity
theorem uniformity_le_symm : 𝓤 α ≤ @Prod.swap α α <$> 𝓤 α := by
rw [map_swap_eq_comap_swap]; exact tendsto_swap_uniformity.le_comap
#align uniformity_le_symm uniformity_le_symm
theorem uniformity_eq_symm : 𝓤 α = @Prod.swap α α <$> 𝓤 α :=
le_antisymm uniformity_le_symm symm_le_uniformity
#align uniformity_eq_symm uniformity_eq_symm
@[simp]
theorem comap_swap_uniformity : comap (@Prod.swap α α) (𝓤 α) = 𝓤 α :=
(congr_arg _ uniformity_eq_symm).trans <| comap_map Prod.swap_injective
#align comap_swap_uniformity comap_swap_uniformity
theorem symmetrize_mem_uniformity {V : Set (α × α)} (h : V ∈ 𝓤 α) : symmetrizeRel V ∈ 𝓤 α := by
apply (𝓤 α).inter_sets h
rw [← image_swap_eq_preimage_swap, uniformity_eq_symm]
exact image_mem_map h
#align symmetrize_mem_uniformity symmetrize_mem_uniformity
theorem UniformSpace.hasBasis_symmetric :
(𝓤 α).HasBasis (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) id :=
hasBasis_self.2 fun t t_in =>
⟨symmetrizeRel t, symmetrize_mem_uniformity t_in, symmetric_symmetrizeRel t,
symmetrizeRel_subset_self t⟩
#align uniform_space.has_basis_symmetric UniformSpace.hasBasis_symmetric
theorem uniformity_lift_le_swap {g : Set (α × α) → Filter β} {f : Filter β} (hg : Monotone g)
(h : ((𝓤 α).lift fun s => g (preimage Prod.swap s)) ≤ f) : (𝓤 α).lift g ≤ f :=
calc
(𝓤 α).lift g ≤ (Filter.map (@Prod.swap α α) <| 𝓤 α).lift g :=
lift_mono uniformity_le_symm le_rfl
_ ≤ _ := by rw [map_lift_eq2 hg, image_swap_eq_preimage_swap]; exact h
#align uniformity_lift_le_swap uniformity_lift_le_swap
theorem uniformity_lift_le_comp {f : Set (α × α) → Filter β} (h : Monotone f) :
((𝓤 α).lift fun s => f (s ○ s)) ≤ (𝓤 α).lift f :=
calc
((𝓤 α).lift fun s => f (s ○ s)) = ((𝓤 α).lift' fun s : Set (α × α) => s ○ s).lift f := by
rw [lift_lift'_assoc]
· exact monotone_id.compRel monotone_id
· exact h
_ ≤ (𝓤 α).lift f := lift_mono comp_le_uniformity le_rfl
#align uniformity_lift_le_comp uniformity_lift_le_comp
-- Porting note (#10756): new lemma
theorem comp3_mem_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ (t ○ t) ⊆ s :=
let ⟨_t', ht', ht's⟩ := comp_mem_uniformity_sets hs
let ⟨t, ht, htt'⟩ := comp_mem_uniformity_sets ht'
⟨t, ht, (compRel_mono ((subset_comp_self (refl_le_uniformity ht)).trans htt') htt').trans ht's⟩
theorem comp_le_uniformity3 : ((𝓤 α).lift' fun s : Set (α × α) => s ○ (s ○ s)) ≤ 𝓤 α := fun _ h =>
let ⟨_t, htU, ht⟩ := comp3_mem_uniformity h
mem_of_superset (mem_lift' htU) ht
#align comp_le_uniformity3 comp_le_uniformity3
theorem comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ⊆ s := by
obtain ⟨w, w_in, w_sub⟩ : ∃ w ∈ 𝓤 α, w ○ w ⊆ s := comp_mem_uniformity_sets hs
use symmetrizeRel w, symmetrize_mem_uniformity w_in, symmetric_symmetrizeRel w
have : symmetrizeRel w ⊆ w := symmetrizeRel_subset_self w
calc symmetrizeRel w ○ symmetrizeRel w
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_symm_mem_uniformity_sets comp_symm_mem_uniformity_sets
theorem subset_comp_self_of_mem_uniformity {s : Set (α × α)} (h : s ∈ 𝓤 α) : s ⊆ s ○ s :=
subset_comp_self (refl_le_uniformity h)
#align subset_comp_self_of_mem_uniformity subset_comp_self_of_mem_uniformity
theorem comp_comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ○ t ⊆ s := by
rcases comp_symm_mem_uniformity_sets hs with ⟨w, w_in, _, w_sub⟩
rcases comp_symm_mem_uniformity_sets w_in with ⟨t, t_in, t_symm, t_sub⟩
use t, t_in, t_symm
have : t ⊆ t ○ t := subset_comp_self_of_mem_uniformity t_in
-- Porting note: Needed the following `have`s to make `mono` work
have ht := Subset.refl t
have hw := Subset.refl w
calc
t ○ t ○ t ⊆ w ○ t := by mono
_ ⊆ w ○ (t ○ t) := by mono
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_comp_symm_mem_uniformity_sets comp_comp_symm_mem_uniformity_sets
def UniformSpace.ball (x : β) (V : Set (β × β)) : Set β :=
Prod.mk x ⁻¹' V
#align uniform_space.ball UniformSpace.ball
open UniformSpace (ball)
theorem UniformSpace.mem_ball_self (x : α) {V : Set (α × α)} (hV : V ∈ 𝓤 α) : x ∈ ball x V :=
refl_mem_uniformity hV
#align uniform_space.mem_ball_self UniformSpace.mem_ball_self
theorem mem_ball_comp {V W : Set (β × β)} {x y z} (h : y ∈ ball x V) (h' : z ∈ ball y W) :
z ∈ ball x (V ○ W) :=
prod_mk_mem_compRel h h'
#align mem_ball_comp mem_ball_comp
theorem ball_subset_of_comp_subset {V W : Set (β × β)} {x y} (h : x ∈ ball y W) (h' : W ○ W ⊆ V) :
ball x W ⊆ ball y V := fun _z z_in => h' (mem_ball_comp h z_in)
#align ball_subset_of_comp_subset ball_subset_of_comp_subset
theorem ball_mono {V W : Set (β × β)} (h : V ⊆ W) (x : β) : ball x V ⊆ ball x W :=
preimage_mono h
#align ball_mono ball_mono
theorem ball_inter (x : β) (V W : Set (β × β)) : ball x (V ∩ W) = ball x V ∩ ball x W :=
preimage_inter
#align ball_inter ball_inter
theorem ball_inter_left (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x V :=
ball_mono inter_subset_left x
#align ball_inter_left ball_inter_left
theorem ball_inter_right (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x W :=
ball_mono inter_subset_right x
#align ball_inter_right ball_inter_right
theorem mem_ball_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x y} :
x ∈ ball y V ↔ y ∈ ball x V :=
show (x, y) ∈ Prod.swap ⁻¹' V ↔ (x, y) ∈ V by
unfold SymmetricRel at hV
rw [hV]
#align mem_ball_symmetry mem_ball_symmetry
theorem ball_eq_of_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x} :
ball x V = { y | (y, x) ∈ V } := by
ext y
rw [mem_ball_symmetry hV]
exact Iff.rfl
#align ball_eq_of_symmetry ball_eq_of_symmetry
theorem mem_comp_of_mem_ball {V W : Set (β × β)} {x y z : β} (hV : SymmetricRel V)
(hx : x ∈ ball z V) (hy : y ∈ ball z W) : (x, y) ∈ V ○ W := by
rw [mem_ball_symmetry hV] at hx
exact ⟨z, hx, hy⟩
#align mem_comp_of_mem_ball mem_comp_of_mem_ball
theorem UniformSpace.isOpen_ball (x : α) {V : Set (α × α)} (hV : IsOpen V) : IsOpen (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
#align uniform_space.is_open_ball UniformSpace.isOpen_ball
theorem UniformSpace.isClosed_ball (x : α) {V : Set (α × α)} (hV : IsClosed V) :
IsClosed (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
theorem mem_comp_comp {V W M : Set (β × β)} (hW' : SymmetricRel W) {p : β × β} :
p ∈ V ○ M ○ W ↔ (ball p.1 V ×ˢ ball p.2 W ∩ M).Nonempty := by
cases' p with x y
constructor
· rintro ⟨z, ⟨w, hpw, hwz⟩, hzy⟩
exact ⟨(w, z), ⟨hpw, by rwa [mem_ball_symmetry hW']⟩, hwz⟩
· rintro ⟨⟨w, z⟩, ⟨w_in, z_in⟩, hwz⟩
rw [mem_ball_symmetry hW'] at z_in
exact ⟨z, ⟨w, w_in, hwz⟩, z_in⟩
#align mem_comp_comp mem_comp_comp
| Mathlib/Topology/UniformSpace/Basic.lean | 722 | 724 | theorem mem_nhds_uniformity_iff_right {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by |
simp only [nhds_eq_comap_uniformity, mem_comap_prod_mk]
|
import Mathlib.Data.Set.Image
import Mathlib.Order.Interval.Set.Basic
#align_import data.set.intervals.with_bot_top from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105"
open Set
variable {α : Type*}
namespace WithTop
@[simp]
theorem preimage_coe_top : (some : α → WithTop α) ⁻¹' {⊤} = (∅ : Set α) :=
eq_empty_of_subset_empty fun _ => coe_ne_top
#align with_top.preimage_coe_top WithTop.preimage_coe_top
variable [Preorder α] {a b : α}
theorem range_coe : range (some : α → WithTop α) = Iio ⊤ := by
ext x
rw [mem_Iio, WithTop.lt_top_iff_ne_top, mem_range, ne_top_iff_exists]
#align with_top.range_coe WithTop.range_coe
@[simp]
theorem preimage_coe_Ioi : (some : α → WithTop α) ⁻¹' Ioi a = Ioi a :=
ext fun _ => coe_lt_coe
#align with_top.preimage_coe_Ioi WithTop.preimage_coe_Ioi
@[simp]
theorem preimage_coe_Ici : (some : α → WithTop α) ⁻¹' Ici a = Ici a :=
ext fun _ => coe_le_coe
#align with_top.preimage_coe_Ici WithTop.preimage_coe_Ici
@[simp]
theorem preimage_coe_Iio : (some : α → WithTop α) ⁻¹' Iio a = Iio a :=
ext fun _ => coe_lt_coe
#align with_top.preimage_coe_Iio WithTop.preimage_coe_Iio
@[simp]
theorem preimage_coe_Iic : (some : α → WithTop α) ⁻¹' Iic a = Iic a :=
ext fun _ => coe_le_coe
#align with_top.preimage_coe_Iic WithTop.preimage_coe_Iic
@[simp]
theorem preimage_coe_Icc : (some : α → WithTop α) ⁻¹' Icc a b = Icc a b := by simp [← Ici_inter_Iic]
#align with_top.preimage_coe_Icc WithTop.preimage_coe_Icc
@[simp]
theorem preimage_coe_Ico : (some : α → WithTop α) ⁻¹' Ico a b = Ico a b := by simp [← Ici_inter_Iio]
#align with_top.preimage_coe_Ico WithTop.preimage_coe_Ico
@[simp]
theorem preimage_coe_Ioc : (some : α → WithTop α) ⁻¹' Ioc a b = Ioc a b := by simp [← Ioi_inter_Iic]
#align with_top.preimage_coe_Ioc WithTop.preimage_coe_Ioc
@[simp]
theorem preimage_coe_Ioo : (some : α → WithTop α) ⁻¹' Ioo a b = Ioo a b := by simp [← Ioi_inter_Iio]
#align with_top.preimage_coe_Ioo WithTop.preimage_coe_Ioo
@[simp]
theorem preimage_coe_Iio_top : (some : α → WithTop α) ⁻¹' Iio ⊤ = univ := by
rw [← range_coe, preimage_range]
#align with_top.preimage_coe_Iio_top WithTop.preimage_coe_Iio_top
@[simp]
theorem preimage_coe_Ico_top : (some : α → WithTop α) ⁻¹' Ico a ⊤ = Ici a := by
simp [← Ici_inter_Iio]
#align with_top.preimage_coe_Ico_top WithTop.preimage_coe_Ico_top
@[simp]
theorem preimage_coe_Ioo_top : (some : α → WithTop α) ⁻¹' Ioo a ⊤ = Ioi a := by
simp [← Ioi_inter_Iio]
#align with_top.preimage_coe_Ioo_top WithTop.preimage_coe_Ioo_top
theorem image_coe_Ioi : (some : α → WithTop α) '' Ioi a = Ioo (a : WithTop α) ⊤ := by
rw [← preimage_coe_Ioi, image_preimage_eq_inter_range, range_coe, Ioi_inter_Iio]
#align with_top.image_coe_Ioi WithTop.image_coe_Ioi
theorem image_coe_Ici : (some : α → WithTop α) '' Ici a = Ico (a : WithTop α) ⊤ := by
rw [← preimage_coe_Ici, image_preimage_eq_inter_range, range_coe, Ici_inter_Iio]
#align with_top.image_coe_Ici WithTop.image_coe_Ici
theorem image_coe_Iio : (some : α → WithTop α) '' Iio a = Iio (a : WithTop α) := by
rw [← preimage_coe_Iio, image_preimage_eq_inter_range, range_coe,
inter_eq_self_of_subset_left (Iio_subset_Iio le_top)]
#align with_top.image_coe_Iio WithTop.image_coe_Iio
theorem image_coe_Iic : (some : α → WithTop α) '' Iic a = Iic (a : WithTop α) := by
rw [← preimage_coe_Iic, image_preimage_eq_inter_range, range_coe,
inter_eq_self_of_subset_left (Iic_subset_Iio.2 <| coe_lt_top a)]
#align with_top.image_coe_Iic WithTop.image_coe_Iic
| Mathlib/Order/Interval/Set/WithBotTop.lean | 107 | 110 | theorem image_coe_Icc : (some : α → WithTop α) '' Icc a b = Icc (a : WithTop α) b := by |
rw [← preimage_coe_Icc, image_preimage_eq_inter_range, range_coe,
inter_eq_self_of_subset_left
(Subset.trans Icc_subset_Iic_self <| Iic_subset_Iio.2 <| coe_lt_top b)]
|
import Mathlib.Analysis.SpecialFunctions.JapaneseBracket
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.IntegralEqImproper
import Mathlib.MeasureTheory.Measure.Lebesgue.Integral
#align_import analysis.special_functions.improper_integrals from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open Real Set Filter MeasureTheory intervalIntegral
open scoped Topology
theorem integrableOn_exp_Iic (c : ℝ) : IntegrableOn exp (Iic c) := by
refine
integrableOn_Iic_of_intervalIntegral_norm_bounded (exp c) c
(fun y => intervalIntegrable_exp.1) tendsto_id
(eventually_of_mem (Iic_mem_atBot 0) fun y _ => ?_)
simp_rw [norm_of_nonneg (exp_pos _).le, integral_exp, sub_le_self_iff]
exact (exp_pos _).le
#align integrable_on_exp_Iic integrableOn_exp_Iic
theorem integral_exp_Iic (c : ℝ) : ∫ x : ℝ in Iic c, exp x = exp c := by
refine
tendsto_nhds_unique
(intervalIntegral_tendsto_integral_Iic _ (integrableOn_exp_Iic _) tendsto_id) ?_
simp_rw [integral_exp, show 𝓝 (exp c) = 𝓝 (exp c - 0) by rw [sub_zero]]
exact tendsto_exp_atBot.const_sub _
#align integral_exp_Iic integral_exp_Iic
theorem integral_exp_Iic_zero : ∫ x : ℝ in Iic 0, exp x = 1 :=
exp_zero ▸ integral_exp_Iic 0
#align integral_exp_Iic_zero integral_exp_Iic_zero
theorem integral_exp_neg_Ioi (c : ℝ) : (∫ x : ℝ in Ioi c, exp (-x)) = exp (-c) := by
simpa only [integral_comp_neg_Ioi] using integral_exp_Iic (-c)
#align integral_exp_neg_Ioi integral_exp_neg_Ioi
| Mathlib/Analysis/SpecialFunctions/ImproperIntegrals.lean | 57 | 58 | theorem integral_exp_neg_Ioi_zero : (∫ x : ℝ in Ioi 0, exp (-x)) = 1 := by |
simpa only [neg_zero, exp_zero] using integral_exp_neg_Ioi 0
|
import Mathlib.Geometry.RingedSpace.PresheafedSpace
import Mathlib.CategoryTheory.Limits.Final
import Mathlib.Topology.Sheaves.Stalks
#align_import algebraic_geometry.stalks from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc"
noncomputable section
universe v u v' u'
open Opposite CategoryTheory CategoryTheory.Category CategoryTheory.Functor CategoryTheory.Limits
AlgebraicGeometry TopologicalSpace
variable {C : Type u} [Category.{v} C] [HasColimits C]
-- Porting note: no tidy tactic
-- attribute [local tidy] tactic.auto_cases_opens
-- this could be replaced by
-- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens
-- but it doesn't appear to be needed here.
open TopCat.Presheaf
namespace AlgebraicGeometry.PresheafedSpace
abbrev stalk (X : PresheafedSpace C) (x : X) : C :=
X.presheaf.stalk x
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk AlgebraicGeometry.PresheafedSpace.stalk
def stalkMap {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (x : X) :
Y.stalk (α.base x) ⟶ X.stalk x :=
(stalkFunctor C (α.base x)).map α.c ≫ X.presheaf.stalkPushforward C α.base x
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map AlgebraicGeometry.PresheafedSpace.stalkMap
@[elementwise, reassoc]
theorem stalkMap_germ {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (U : Opens Y)
(x : (Opens.map α.base).obj U) :
Y.presheaf.germ ⟨α.base x.1, x.2⟩ ≫ stalkMap α ↑x = α.c.app (op U) ≫ X.presheaf.germ x := by
rw [stalkMap, stalkFunctor_map_germ_assoc, stalkPushforward_germ]
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map_germ AlgebraicGeometry.PresheafedSpace.stalkMap_germ
@[simp, elementwise, reassoc]
theorem stalkMap_germ' {X Y : PresheafedSpace.{_, _, v} C}
(α : X ⟶ Y) (U : Opens Y) (x : X) (hx : α.base x ∈ U) :
Y.presheaf.germ ⟨α.base x, hx⟩ ≫ stalkMap α x = α.c.app (op U) ≫
X.presheaf.germ (U := (Opens.map α.base).obj U) ⟨x, hx⟩ :=
PresheafedSpace.stalkMap_germ α U ⟨x, hx⟩
namespace stalkMap
@[simp]
| Mathlib/Geometry/RingedSpace/Stalks.lean | 137 | 145 | theorem id (X : PresheafedSpace.{_, _, v} C) (x : X) :
stalkMap (𝟙 X) x = 𝟙 (X.stalk x) := by |
dsimp [stalkMap]
simp only [stalkPushforward.id]
erw [← map_comp]
convert (stalkFunctor C x).map_id X.presheaf
ext
simp only [id_c, id_comp, Pushforward.id_hom_app, op_obj, eqToHom_refl, map_id]
rfl
|
import Mathlib.Algebra.Polynomial.Degree.Definitions
import Mathlib.Algebra.Polynomial.Induction
#align_import data.polynomial.eval from "leanprover-community/mathlib"@"728baa2f54e6062c5879a3e397ac6bac323e506f"
set_option linter.uppercaseLean3 false
noncomputable section
open Finset AddMonoidAlgebra
open Polynomial
namespace Polynomial
universe u v w y
variable {R : Type u} {S : Type v} {T : Type w} {ι : Type y} {a b : R} {m n : ℕ}
section Semiring
variable [Semiring R] {p q r : R[X]}
section
variable [Semiring S]
variable (f : R →+* S) (x : S)
irreducible_def eval₂ (p : R[X]) : S :=
p.sum fun e a => f a * x ^ e
#align polynomial.eval₂ Polynomial.eval₂
theorem eval₂_eq_sum {f : R →+* S} {x : S} : p.eval₂ f x = p.sum fun e a => f a * x ^ e := by
rw [eval₂_def]
#align polynomial.eval₂_eq_sum Polynomial.eval₂_eq_sum
theorem eval₂_congr {R S : Type*} [Semiring R] [Semiring S] {f g : R →+* S} {s t : S}
{φ ψ : R[X]} : f = g → s = t → φ = ψ → eval₂ f s φ = eval₂ g t ψ := by
rintro rfl rfl rfl; rfl
#align polynomial.eval₂_congr Polynomial.eval₂_congr
@[simp]
theorem eval₂_at_zero : p.eval₂ f 0 = f (coeff p 0) := by
simp (config := { contextual := true }) only [eval₂_eq_sum, zero_pow_eq, mul_ite, mul_zero,
mul_one, sum, Classical.not_not, mem_support_iff, sum_ite_eq', ite_eq_left_iff,
RingHom.map_zero, imp_true_iff, eq_self_iff_true]
#align polynomial.eval₂_at_zero Polynomial.eval₂_at_zero
@[simp]
theorem eval₂_zero : (0 : R[X]).eval₂ f x = 0 := by simp [eval₂_eq_sum]
#align polynomial.eval₂_zero Polynomial.eval₂_zero
@[simp]
theorem eval₂_C : (C a).eval₂ f x = f a := by simp [eval₂_eq_sum]
#align polynomial.eval₂_C Polynomial.eval₂_C
@[simp]
theorem eval₂_X : X.eval₂ f x = x := by simp [eval₂_eq_sum]
#align polynomial.eval₂_X Polynomial.eval₂_X
@[simp]
theorem eval₂_monomial {n : ℕ} {r : R} : (monomial n r).eval₂ f x = f r * x ^ n := by
simp [eval₂_eq_sum]
#align polynomial.eval₂_monomial Polynomial.eval₂_monomial
@[simp]
theorem eval₂_X_pow {n : ℕ} : (X ^ n).eval₂ f x = x ^ n := by
rw [X_pow_eq_monomial]
convert eval₂_monomial f x (n := n) (r := 1)
simp
#align polynomial.eval₂_X_pow Polynomial.eval₂_X_pow
@[simp]
theorem eval₂_add : (p + q).eval₂ f x = p.eval₂ f x + q.eval₂ f x := by
simp only [eval₂_eq_sum]
apply sum_add_index <;> simp [add_mul]
#align polynomial.eval₂_add Polynomial.eval₂_add
@[simp]
theorem eval₂_one : (1 : R[X]).eval₂ f x = 1 := by rw [← C_1, eval₂_C, f.map_one]
#align polynomial.eval₂_one Polynomial.eval₂_one
set_option linter.deprecated false in
@[simp]
theorem eval₂_bit0 : (bit0 p).eval₂ f x = bit0 (p.eval₂ f x) := by rw [bit0, eval₂_add, bit0]
#align polynomial.eval₂_bit0 Polynomial.eval₂_bit0
set_option linter.deprecated false in
@[simp]
theorem eval₂_bit1 : (bit1 p).eval₂ f x = bit1 (p.eval₂ f x) := by
rw [bit1, eval₂_add, eval₂_bit0, eval₂_one, bit1]
#align polynomial.eval₂_bit1 Polynomial.eval₂_bit1
@[simp]
theorem eval₂_smul (g : R →+* S) (p : R[X]) (x : S) {s : R} :
eval₂ g x (s • p) = g s * eval₂ g x p := by
have A : p.natDegree < p.natDegree.succ := Nat.lt_succ_self _
have B : (s • p).natDegree < p.natDegree.succ := (natDegree_smul_le _ _).trans_lt A
rw [eval₂_eq_sum, eval₂_eq_sum, sum_over_range' _ _ _ A, sum_over_range' _ _ _ B] <;>
simp [mul_sum, mul_assoc]
#align polynomial.eval₂_smul Polynomial.eval₂_smul
@[simp]
theorem eval₂_C_X : eval₂ C X p = p :=
Polynomial.induction_on' p (fun p q hp hq => by simp [hp, hq]) fun n x => by
rw [eval₂_monomial, ← smul_X_eq_monomial, C_mul']
#align polynomial.eval₂_C_X Polynomial.eval₂_C_X
@[simps]
def eval₂AddMonoidHom : R[X] →+ S where
toFun := eval₂ f x
map_zero' := eval₂_zero _ _
map_add' _ _ := eval₂_add _ _
#align polynomial.eval₂_add_monoid_hom Polynomial.eval₂AddMonoidHom
#align polynomial.eval₂_add_monoid_hom_apply Polynomial.eval₂AddMonoidHom_apply
@[simp]
theorem eval₂_natCast (n : ℕ) : (n : R[X]).eval₂ f x = n := by
induction' n with n ih
-- Porting note: `Nat.zero_eq` is required.
· simp only [eval₂_zero, Nat.cast_zero, Nat.zero_eq]
· rw [n.cast_succ, eval₂_add, ih, eval₂_one, n.cast_succ]
#align polynomial.eval₂_nat_cast Polynomial.eval₂_natCast
@[deprecated (since := "2024-04-17")]
alias eval₂_nat_cast := eval₂_natCast
-- See note [no_index around OfNat.ofNat]
@[simp]
lemma eval₂_ofNat {S : Type*} [Semiring S] (n : ℕ) [n.AtLeastTwo] (f : R →+* S) (a : S) :
(no_index (OfNat.ofNat n : R[X])).eval₂ f a = OfNat.ofNat n := by
simp [OfNat.ofNat]
variable [Semiring T]
theorem eval₂_sum (p : T[X]) (g : ℕ → T → R[X]) (x : S) :
(p.sum g).eval₂ f x = p.sum fun n a => (g n a).eval₂ f x := by
let T : R[X] →+ S :=
{ toFun := eval₂ f x
map_zero' := eval₂_zero _ _
map_add' := fun p q => eval₂_add _ _ }
have A : ∀ y, eval₂ f x y = T y := fun y => rfl
simp only [A]
rw [sum, map_sum, sum]
#align polynomial.eval₂_sum Polynomial.eval₂_sum
theorem eval₂_list_sum (l : List R[X]) (x : S) : eval₂ f x l.sum = (l.map (eval₂ f x)).sum :=
map_list_sum (eval₂AddMonoidHom f x) l
#align polynomial.eval₂_list_sum Polynomial.eval₂_list_sum
theorem eval₂_multiset_sum (s : Multiset R[X]) (x : S) :
eval₂ f x s.sum = (s.map (eval₂ f x)).sum :=
map_multiset_sum (eval₂AddMonoidHom f x) s
#align polynomial.eval₂_multiset_sum Polynomial.eval₂_multiset_sum
theorem eval₂_finset_sum (s : Finset ι) (g : ι → R[X]) (x : S) :
(∑ i ∈ s, g i).eval₂ f x = ∑ i ∈ s, (g i).eval₂ f x :=
map_sum (eval₂AddMonoidHom f x) _ _
#align polynomial.eval₂_finset_sum Polynomial.eval₂_finset_sum
theorem eval₂_ofFinsupp {f : R →+* S} {x : S} {p : R[ℕ]} :
eval₂ f x (⟨p⟩ : R[X]) = liftNC (↑f) (powersHom S x) p := by
simp only [eval₂_eq_sum, sum, toFinsupp_sum, support, coeff]
rfl
#align polynomial.eval₂_of_finsupp Polynomial.eval₂_ofFinsupp
theorem eval₂_mul_noncomm (hf : ∀ k, Commute (f <| q.coeff k) x) :
eval₂ f x (p * q) = eval₂ f x p * eval₂ f x q := by
rcases p with ⟨p⟩; rcases q with ⟨q⟩
simp only [coeff] at hf
simp only [← ofFinsupp_mul, eval₂_ofFinsupp]
exact liftNC_mul _ _ p q fun {k n} _hn => (hf k).pow_right n
#align polynomial.eval₂_mul_noncomm Polynomial.eval₂_mul_noncomm
@[simp]
theorem eval₂_mul_X : eval₂ f x (p * X) = eval₂ f x p * x := by
refine _root_.trans (eval₂_mul_noncomm _ _ fun k => ?_) (by rw [eval₂_X])
rcases em (k = 1) with (rfl | hk)
· simp
· simp [coeff_X_of_ne_one hk]
#align polynomial.eval₂_mul_X Polynomial.eval₂_mul_X
@[simp]
theorem eval₂_X_mul : eval₂ f x (X * p) = eval₂ f x p * x := by rw [X_mul, eval₂_mul_X]
#align polynomial.eval₂_X_mul Polynomial.eval₂_X_mul
theorem eval₂_mul_C' (h : Commute (f a) x) : eval₂ f x (p * C a) = eval₂ f x p * f a := by
rw [eval₂_mul_noncomm, eval₂_C]
intro k
by_cases hk : k = 0
· simp only [hk, h, coeff_C_zero, coeff_C_ne_zero]
· simp only [coeff_C_ne_zero hk, RingHom.map_zero, Commute.zero_left]
#align polynomial.eval₂_mul_C' Polynomial.eval₂_mul_C'
theorem eval₂_list_prod_noncomm (ps : List R[X])
(hf : ∀ p ∈ ps, ∀ (k), Commute (f <| coeff p k) x) :
eval₂ f x ps.prod = (ps.map (Polynomial.eval₂ f x)).prod := by
induction' ps using List.reverseRecOn with ps p ihp
· simp
· simp only [List.forall_mem_append, List.forall_mem_singleton] at hf
simp [eval₂_mul_noncomm _ _ hf.2, ihp hf.1]
#align polynomial.eval₂_list_prod_noncomm Polynomial.eval₂_list_prod_noncomm
@[simps]
def eval₂RingHom' (f : R →+* S) (x : S) (hf : ∀ a, Commute (f a) x) : R[X] →+* S where
toFun := eval₂ f x
map_add' _ _ := eval₂_add _ _
map_zero' := eval₂_zero _ _
map_mul' _p q := eval₂_mul_noncomm f x fun k => hf <| coeff q k
map_one' := eval₂_one _ _
#align polynomial.eval₂_ring_hom' Polynomial.eval₂RingHom'
end
section Eval
variable {x : R}
def eval : R → R[X] → R :=
eval₂ (RingHom.id _)
#align polynomial.eval Polynomial.eval
theorem eval_eq_sum : p.eval x = p.sum fun e a => a * x ^ e := by
rw [eval, eval₂_eq_sum]
rfl
#align polynomial.eval_eq_sum Polynomial.eval_eq_sum
theorem eval_eq_sum_range {p : R[X]} (x : R) :
p.eval x = ∑ i ∈ Finset.range (p.natDegree + 1), p.coeff i * x ^ i := by
rw [eval_eq_sum, sum_over_range]; simp
#align polynomial.eval_eq_sum_range Polynomial.eval_eq_sum_range
theorem eval_eq_sum_range' {p : R[X]} {n : ℕ} (hn : p.natDegree < n) (x : R) :
p.eval x = ∑ i ∈ Finset.range n, p.coeff i * x ^ i := by
rw [eval_eq_sum, p.sum_over_range' _ _ hn]; simp
#align polynomial.eval_eq_sum_range' Polynomial.eval_eq_sum_range'
@[simp]
theorem eval₂_at_apply {S : Type*} [Semiring S] (f : R →+* S) (r : R) :
p.eval₂ f (f r) = f (p.eval r) := by
rw [eval₂_eq_sum, eval_eq_sum, sum, sum, map_sum f]
simp only [f.map_mul, f.map_pow]
#align polynomial.eval₂_at_apply Polynomial.eval₂_at_apply
@[simp]
theorem eval₂_at_one {S : Type*} [Semiring S] (f : R →+* S) : p.eval₂ f 1 = f (p.eval 1) := by
convert eval₂_at_apply (p := p) f 1
simp
#align polynomial.eval₂_at_one Polynomial.eval₂_at_one
@[simp]
theorem eval₂_at_natCast {S : Type*} [Semiring S] (f : R →+* S) (n : ℕ) :
p.eval₂ f n = f (p.eval n) := by
convert eval₂_at_apply (p := p) f n
simp
#align polynomial.eval₂_at_nat_cast Polynomial.eval₂_at_natCast
@[deprecated (since := "2024-04-17")]
alias eval₂_at_nat_cast := eval₂_at_natCast
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem eval₂_at_ofNat {S : Type*} [Semiring S] (f : R →+* S) (n : ℕ) [n.AtLeastTwo] :
p.eval₂ f (no_index (OfNat.ofNat n)) = f (p.eval (OfNat.ofNat n)) := by
simp [OfNat.ofNat]
@[simp]
theorem eval_C : (C a).eval x = a :=
eval₂_C _ _
#align polynomial.eval_C Polynomial.eval_C
@[simp]
| Mathlib/Algebra/Polynomial/Eval.lean | 372 | 372 | theorem eval_natCast {n : ℕ} : (n : R[X]).eval x = n := by | simp only [← C_eq_natCast, eval_C]
|
import Mathlib.Data.ZMod.Basic
import Mathlib.Algebra.Group.Nat
import Mathlib.Tactic.IntervalCases
import Mathlib.GroupTheory.SpecificGroups.Dihedral
import Mathlib.GroupTheory.SpecificGroups.Cyclic
#align_import group_theory.specific_groups.quaternion from "leanprover-community/mathlib"@"879155bff5af618b9062cbb2915347dafd749ad6"
inductive QuaternionGroup (n : ℕ) : Type
| a : ZMod (2 * n) → QuaternionGroup n
| xa : ZMod (2 * n) → QuaternionGroup n
deriving DecidableEq
#align quaternion_group QuaternionGroup
namespace QuaternionGroup
variable {n : ℕ}
private def mul : QuaternionGroup n → QuaternionGroup n → QuaternionGroup n
| a i, a j => a (i + j)
| a i, xa j => xa (j - i)
| xa i, a j => xa (i + j)
| xa i, xa j => a (n + j - i)
private def one : QuaternionGroup n :=
a 0
instance : Inhabited (QuaternionGroup n) :=
⟨one⟩
private def inv : QuaternionGroup n → QuaternionGroup n
| a i => a (-i)
| xa i => xa (n + i)
instance : Group (QuaternionGroup n) where
mul := mul
mul_assoc := by
rintro (i | i) (j | j) (k | k) <;> simp only [(· * ·), mul] <;> ring_nf
congr
calc
-(n : ZMod (2 * n)) = 0 - n := by rw [zero_sub]
_ = 2 * n - n := by norm_cast; simp
_ = n := by ring
one := one
one_mul := by
rintro (i | i)
· exact congr_arg a (zero_add i)
· exact congr_arg xa (sub_zero i)
mul_one := by
rintro (i | i)
· exact congr_arg a (add_zero i)
· exact congr_arg xa (add_zero i)
inv := inv
mul_left_inv := by
rintro (i | i)
· exact congr_arg a (neg_add_self i)
· exact congr_arg a (sub_self (n + i))
@[simp]
theorem a_mul_a (i j : ZMod (2 * n)) : a i * a j = a (i + j) :=
rfl
#align quaternion_group.a_mul_a QuaternionGroup.a_mul_a
@[simp]
theorem a_mul_xa (i j : ZMod (2 * n)) : a i * xa j = xa (j - i) :=
rfl
#align quaternion_group.a_mul_xa QuaternionGroup.a_mul_xa
@[simp]
theorem xa_mul_a (i j : ZMod (2 * n)) : xa i * a j = xa (i + j) :=
rfl
#align quaternion_group.xa_mul_a QuaternionGroup.xa_mul_a
@[simp]
theorem xa_mul_xa (i j : ZMod (2 * n)) : xa i * xa j = a ((n : ZMod (2 * n)) + j - i) :=
rfl
#align quaternion_group.xa_mul_xa QuaternionGroup.xa_mul_xa
theorem one_def : (1 : QuaternionGroup n) = a 0 :=
rfl
#align quaternion_group.one_def QuaternionGroup.one_def
private def fintypeHelper : Sum (ZMod (2 * n)) (ZMod (2 * n)) ≃ QuaternionGroup n where
invFun i :=
match i with
| a j => Sum.inl j
| xa j => Sum.inr j
toFun i :=
match i with
| Sum.inl j => a j
| Sum.inr j => xa j
left_inv := by rintro (x | x) <;> rfl
right_inv := by rintro (x | x) <;> rfl
def quaternionGroupZeroEquivDihedralGroupZero : QuaternionGroup 0 ≃* DihedralGroup 0 where
toFun i :=
-- Porting note: Originally `QuaternionGroup.recOn i DihedralGroup.r DihedralGroup.sr`
match i with
| a j => DihedralGroup.r j
| xa j => DihedralGroup.sr j
invFun i :=
match i with
| DihedralGroup.r j => a j
| DihedralGroup.sr j => xa j
left_inv := by rintro (k | k) <;> rfl
right_inv := by rintro (k | k) <;> rfl
map_mul' := by rintro (k | k) (l | l) <;> simp
#align quaternion_group.quaternion_group_zero_equiv_dihedral_group_zero QuaternionGroup.quaternionGroupZeroEquivDihedralGroupZero
instance [NeZero n] : Fintype (QuaternionGroup n) :=
Fintype.ofEquiv _ fintypeHelper
instance : Nontrivial (QuaternionGroup n) :=
⟨⟨a 0, xa 0, by revert n; simp⟩⟩ -- Porting note: `revert n; simp` was `decide`
theorem card [NeZero n] : Fintype.card (QuaternionGroup n) = 4 * n := by
rw [← Fintype.card_eq.mpr ⟨fintypeHelper⟩, Fintype.card_sum, ZMod.card, two_mul]
ring
#align quaternion_group.card QuaternionGroup.card
@[simp]
theorem a_one_pow (k : ℕ) : (a 1 : QuaternionGroup n) ^ k = a k := by
induction' k with k IH
· rw [Nat.cast_zero]; rfl
· rw [pow_succ, IH, a_mul_a]
congr 1
norm_cast
#align quaternion_group.a_one_pow QuaternionGroup.a_one_pow
-- @[simp] -- Porting note: simp changes this to `a 0 = 1`, so this is no longer a good simp lemma.
theorem a_one_pow_n : (a 1 : QuaternionGroup n) ^ (2 * n) = 1 := by
rw [a_one_pow, one_def]
congr 1
exact ZMod.natCast_self _
#align quaternion_group.a_one_pow_n QuaternionGroup.a_one_pow_n
@[simp]
theorem xa_sq (i : ZMod (2 * n)) : xa i ^ 2 = a n := by simp [sq]
#align quaternion_group.xa_sq QuaternionGroup.xa_sq
@[simp]
| Mathlib/GroupTheory/SpecificGroups/Quaternion.lean | 200 | 205 | theorem xa_pow_four (i : ZMod (2 * n)) : xa i ^ 4 = 1 := by |
rw [pow_succ, pow_succ, sq, xa_mul_xa, a_mul_xa, xa_mul_xa,
add_sub_cancel_right, add_sub_assoc, sub_sub_cancel]
norm_cast
rw [← two_mul]
simp [one_def]
|
import Mathlib.SetTheory.Cardinal.Finite
#align_import data.finite.card from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8"
noncomputable section
open scoped Classical
variable {α β γ : Type*}
def Finite.equivFin (α : Type*) [Finite α] : α ≃ Fin (Nat.card α) := by
have := (Finite.exists_equiv_fin α).choose_spec.some
rwa [Nat.card_eq_of_equiv_fin this]
#align finite.equiv_fin Finite.equivFin
def Finite.equivFinOfCardEq [Finite α] {n : ℕ} (h : Nat.card α = n) : α ≃ Fin n := by
subst h
apply Finite.equivFin
#align finite.equiv_fin_of_card_eq Finite.equivFinOfCardEq
theorem Nat.card_eq (α : Type*) :
Nat.card α = if h : Finite α then @Fintype.card α (Fintype.ofFinite α) else 0 := by
cases finite_or_infinite α
· letI := Fintype.ofFinite α
simp only [*, Nat.card_eq_fintype_card, dif_pos]
· simp only [*, card_eq_zero_of_infinite, not_finite_iff_infinite.mpr, dite_false]
#align nat.card_eq Nat.card_eq
theorem Finite.card_pos_iff [Finite α] : 0 < Nat.card α ↔ Nonempty α := by
haveI := Fintype.ofFinite α
rw [Nat.card_eq_fintype_card, Fintype.card_pos_iff]
#align finite.card_pos_iff Finite.card_pos_iff
theorem Finite.card_pos [Finite α] [h : Nonempty α] : 0 < Nat.card α :=
Finite.card_pos_iff.mpr h
#align finite.card_pos Finite.card_pos
namespace Finite
theorem cast_card_eq_mk {α : Type*} [Finite α] : ↑(Nat.card α) = Cardinal.mk α :=
Cardinal.cast_toNat_of_lt_aleph0 (Cardinal.lt_aleph0_of_finite α)
#align finite.cast_card_eq_mk Finite.cast_card_eq_mk
theorem card_eq [Finite α] [Finite β] : Nat.card α = Nat.card β ↔ Nonempty (α ≃ β) := by
haveI := Fintype.ofFinite α
haveI := Fintype.ofFinite β
simp only [Nat.card_eq_fintype_card, Fintype.card_eq]
#align finite.card_eq Finite.card_eq
theorem card_le_one_iff_subsingleton [Finite α] : Nat.card α ≤ 1 ↔ Subsingleton α := by
haveI := Fintype.ofFinite α
simp only [Nat.card_eq_fintype_card, Fintype.card_le_one_iff_subsingleton]
#align finite.card_le_one_iff_subsingleton Finite.card_le_one_iff_subsingleton
theorem one_lt_card_iff_nontrivial [Finite α] : 1 < Nat.card α ↔ Nontrivial α := by
haveI := Fintype.ofFinite α
simp only [Nat.card_eq_fintype_card, Fintype.one_lt_card_iff_nontrivial]
#align finite.one_lt_card_iff_nontrivial Finite.one_lt_card_iff_nontrivial
theorem one_lt_card [Finite α] [h : Nontrivial α] : 1 < Nat.card α :=
one_lt_card_iff_nontrivial.mpr h
#align finite.one_lt_card Finite.one_lt_card
@[simp]
theorem card_option [Finite α] : Nat.card (Option α) = Nat.card α + 1 := by
haveI := Fintype.ofFinite α
simp only [Nat.card_eq_fintype_card, Fintype.card_option]
#align finite.card_option Finite.card_option
| Mathlib/Data/Finite/Card.lean | 98 | 102 | theorem card_le_of_injective [Finite β] (f : α → β) (hf : Function.Injective f) :
Nat.card α ≤ Nat.card β := by |
haveI := Fintype.ofFinite β
haveI := Fintype.ofInjective f hf
simpa only [Nat.card_eq_fintype_card, ge_iff_le] using Fintype.card_le_of_injective f hf
|
import Mathlib.Order.Cover
import Mathlib.Order.Interval.Finset.Defs
#align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d"
assert_not_exists MonoidWithZero
assert_not_exists Finset.sum
open Function OrderDual
open FinsetInterval
variable {ι α : Type*}
namespace Finset
section Preorder
variable [Preorder α]
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α}
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by
rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc]
#align finset.nonempty_Icc Finset.nonempty_Icc
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico]
#align finset.nonempty_Ico Finset.nonempty_Ico
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc]
#align finset.nonempty_Ioc Finset.nonempty_Ioc
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioo, Set.nonempty_Ioo]
#align finset.nonempty_Ioo Finset.nonempty_Ioo
@[simp]
theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by
rw [← coe_eq_empty, coe_Icc, Set.Icc_eq_empty_iff]
#align finset.Icc_eq_empty_iff Finset.Icc_eq_empty_iff
@[simp]
theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ico, Set.Ico_eq_empty_iff]
#align finset.Ico_eq_empty_iff Finset.Ico_eq_empty_iff
@[simp]
theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioc, Set.Ioc_eq_empty_iff]
#align finset.Ioc_eq_empty_iff Finset.Ioc_eq_empty_iff
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem Ioo_eq_empty_iff [DenselyOrdered α] : Ioo a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioo, Set.Ioo_eq_empty_iff]
#align finset.Ioo_eq_empty_iff Finset.Ioo_eq_empty_iff
alias ⟨_, Icc_eq_empty⟩ := Icc_eq_empty_iff
#align finset.Icc_eq_empty Finset.Icc_eq_empty
alias ⟨_, Ico_eq_empty⟩ := Ico_eq_empty_iff
#align finset.Ico_eq_empty Finset.Ico_eq_empty
alias ⟨_, Ioc_eq_empty⟩ := Ioc_eq_empty_iff
#align finset.Ioc_eq_empty Finset.Ioc_eq_empty
@[simp]
theorem Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ hx => h ((mem_Ioo.1 hx).1.trans (mem_Ioo.1 hx).2)
#align finset.Ioo_eq_empty Finset.Ioo_eq_empty
@[simp]
theorem Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ :=
Icc_eq_empty h.not_le
#align finset.Icc_eq_empty_of_lt Finset.Icc_eq_empty_of_lt
@[simp]
theorem Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ :=
Ico_eq_empty h.not_lt
#align finset.Ico_eq_empty_of_le Finset.Ico_eq_empty_of_le
@[simp]
theorem Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ :=
Ioc_eq_empty h.not_lt
#align finset.Ioc_eq_empty_of_le Finset.Ioc_eq_empty_of_le
@[simp]
theorem Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ :=
Ioo_eq_empty h.not_lt
#align finset.Ioo_eq_empty_of_le Finset.Ioo_eq_empty_of_le
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, true_and_iff, le_rfl]
#align finset.left_mem_Icc Finset.left_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp only [mem_Ico, true_and_iff, le_refl]
#align finset.left_mem_Ico Finset.left_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, and_true_iff, le_rfl]
#align finset.right_mem_Icc Finset.right_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by simp only [mem_Ioc, and_true_iff, le_rfl]
#align finset.right_mem_Ioc Finset.right_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioc : a ∉ Ioc a b := fun h => lt_irrefl _ (mem_Ioc.1 h).1
#align finset.left_not_mem_Ioc Finset.left_not_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioo : a ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).1
#align finset.left_not_mem_Ioo Finset.left_not_mem_Ioo
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ico : b ∉ Ico a b := fun h => lt_irrefl _ (mem_Ico.1 h).2
#align finset.right_not_mem_Ico Finset.right_not_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ioo : b ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).2
#align finset.right_not_mem_Ioo Finset.right_not_mem_Ioo
theorem Icc_subset_Icc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Icc a₁ b₁ ⊆ Icc a₂ b₂ := by
simpa [← coe_subset] using Set.Icc_subset_Icc ha hb
#align finset.Icc_subset_Icc Finset.Icc_subset_Icc
theorem Ico_subset_Ico (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ico a₁ b₁ ⊆ Ico a₂ b₂ := by
simpa [← coe_subset] using Set.Ico_subset_Ico ha hb
#align finset.Ico_subset_Ico Finset.Ico_subset_Ico
theorem Ioc_subset_Ioc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioc a₁ b₁ ⊆ Ioc a₂ b₂ := by
simpa [← coe_subset] using Set.Ioc_subset_Ioc ha hb
#align finset.Ioc_subset_Ioc Finset.Ioc_subset_Ioc
theorem Ioo_subset_Ioo (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioo a₁ b₁ ⊆ Ioo a₂ b₂ := by
simpa [← coe_subset] using Set.Ioo_subset_Ioo ha hb
#align finset.Ioo_subset_Ioo Finset.Ioo_subset_Ioo
theorem Icc_subset_Icc_left (h : a₁ ≤ a₂) : Icc a₂ b ⊆ Icc a₁ b :=
Icc_subset_Icc h le_rfl
#align finset.Icc_subset_Icc_left Finset.Icc_subset_Icc_left
theorem Ico_subset_Ico_left (h : a₁ ≤ a₂) : Ico a₂ b ⊆ Ico a₁ b :=
Ico_subset_Ico h le_rfl
#align finset.Ico_subset_Ico_left Finset.Ico_subset_Ico_left
theorem Ioc_subset_Ioc_left (h : a₁ ≤ a₂) : Ioc a₂ b ⊆ Ioc a₁ b :=
Ioc_subset_Ioc h le_rfl
#align finset.Ioc_subset_Ioc_left Finset.Ioc_subset_Ioc_left
theorem Ioo_subset_Ioo_left (h : a₁ ≤ a₂) : Ioo a₂ b ⊆ Ioo a₁ b :=
Ioo_subset_Ioo h le_rfl
#align finset.Ioo_subset_Ioo_left Finset.Ioo_subset_Ioo_left
theorem Icc_subset_Icc_right (h : b₁ ≤ b₂) : Icc a b₁ ⊆ Icc a b₂ :=
Icc_subset_Icc le_rfl h
#align finset.Icc_subset_Icc_right Finset.Icc_subset_Icc_right
theorem Ico_subset_Ico_right (h : b₁ ≤ b₂) : Ico a b₁ ⊆ Ico a b₂ :=
Ico_subset_Ico le_rfl h
#align finset.Ico_subset_Ico_right Finset.Ico_subset_Ico_right
theorem Ioc_subset_Ioc_right (h : b₁ ≤ b₂) : Ioc a b₁ ⊆ Ioc a b₂ :=
Ioc_subset_Ioc le_rfl h
#align finset.Ioc_subset_Ioc_right Finset.Ioc_subset_Ioc_right
theorem Ioo_subset_Ioo_right (h : b₁ ≤ b₂) : Ioo a b₁ ⊆ Ioo a b₂ :=
Ioo_subset_Ioo le_rfl h
#align finset.Ioo_subset_Ioo_right Finset.Ioo_subset_Ioo_right
theorem Ico_subset_Ioo_left (h : a₁ < a₂) : Ico a₂ b ⊆ Ioo a₁ b := by
rw [← coe_subset, coe_Ico, coe_Ioo]
exact Set.Ico_subset_Ioo_left h
#align finset.Ico_subset_Ioo_left Finset.Ico_subset_Ioo_left
theorem Ioc_subset_Ioo_right (h : b₁ < b₂) : Ioc a b₁ ⊆ Ioo a b₂ := by
rw [← coe_subset, coe_Ioc, coe_Ioo]
exact Set.Ioc_subset_Ioo_right h
#align finset.Ioc_subset_Ioo_right Finset.Ioc_subset_Ioo_right
theorem Icc_subset_Ico_right (h : b₁ < b₂) : Icc a b₁ ⊆ Ico a b₂ := by
rw [← coe_subset, coe_Icc, coe_Ico]
exact Set.Icc_subset_Ico_right h
#align finset.Icc_subset_Ico_right Finset.Icc_subset_Ico_right
theorem Ioo_subset_Ico_self : Ioo a b ⊆ Ico a b := by
rw [← coe_subset, coe_Ioo, coe_Ico]
exact Set.Ioo_subset_Ico_self
#align finset.Ioo_subset_Ico_self Finset.Ioo_subset_Ico_self
theorem Ioo_subset_Ioc_self : Ioo a b ⊆ Ioc a b := by
rw [← coe_subset, coe_Ioo, coe_Ioc]
exact Set.Ioo_subset_Ioc_self
#align finset.Ioo_subset_Ioc_self Finset.Ioo_subset_Ioc_self
theorem Ico_subset_Icc_self : Ico a b ⊆ Icc a b := by
rw [← coe_subset, coe_Ico, coe_Icc]
exact Set.Ico_subset_Icc_self
#align finset.Ico_subset_Icc_self Finset.Ico_subset_Icc_self
theorem Ioc_subset_Icc_self : Ioc a b ⊆ Icc a b := by
rw [← coe_subset, coe_Ioc, coe_Icc]
exact Set.Ioc_subset_Icc_self
#align finset.Ioc_subset_Icc_self Finset.Ioc_subset_Icc_self
theorem Ioo_subset_Icc_self : Ioo a b ⊆ Icc a b :=
Ioo_subset_Ico_self.trans Ico_subset_Icc_self
#align finset.Ioo_subset_Icc_self Finset.Ioo_subset_Icc_self
theorem Icc_subset_Icc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Icc a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ := by
rw [← coe_subset, coe_Icc, coe_Icc, Set.Icc_subset_Icc_iff h₁]
#align finset.Icc_subset_Icc_iff Finset.Icc_subset_Icc_iff
theorem Icc_subset_Ioo_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioo a₂ b₂ ↔ a₂ < a₁ ∧ b₁ < b₂ := by
rw [← coe_subset, coe_Icc, coe_Ioo, Set.Icc_subset_Ioo_iff h₁]
#align finset.Icc_subset_Ioo_iff Finset.Icc_subset_Ioo_iff
theorem Icc_subset_Ico_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ico a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ < b₂ := by
rw [← coe_subset, coe_Icc, coe_Ico, Set.Icc_subset_Ico_iff h₁]
#align finset.Icc_subset_Ico_iff Finset.Icc_subset_Ico_iff
theorem Icc_subset_Ioc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioc a₂ b₂ ↔ a₂ < a₁ ∧ b₁ ≤ b₂ :=
(Icc_subset_Ico_iff h₁.dual).trans and_comm
#align finset.Icc_subset_Ioc_iff Finset.Icc_subset_Ioc_iff
--TODO: `Ico_subset_Ioo_iff`, `Ioc_subset_Ioo_iff`
theorem Icc_ssubset_Icc_left (hI : a₂ ≤ b₂) (ha : a₂ < a₁) (hb : b₁ ≤ b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ := by
rw [← coe_ssubset, coe_Icc, coe_Icc]
exact Set.Icc_ssubset_Icc_left hI ha hb
#align finset.Icc_ssubset_Icc_left Finset.Icc_ssubset_Icc_left
theorem Icc_ssubset_Icc_right (hI : a₂ ≤ b₂) (ha : a₂ ≤ a₁) (hb : b₁ < b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ := by
rw [← coe_ssubset, coe_Icc, coe_Icc]
exact Set.Icc_ssubset_Icc_right hI ha hb
#align finset.Icc_ssubset_Icc_right Finset.Icc_ssubset_Icc_right
variable (a)
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ico_self : Ico a a = ∅ :=
Ico_eq_empty <| lt_irrefl _
#align finset.Ico_self Finset.Ico_self
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ioc_self : Ioc a a = ∅ :=
Ioc_eq_empty <| lt_irrefl _
#align finset.Ioc_self Finset.Ioc_self
-- porting note (#10618): simp can prove this
-- @[simp]
theorem Ioo_self : Ioo a a = ∅ :=
Ioo_eq_empty <| lt_irrefl _
#align finset.Ioo_self Finset.Ioo_self
variable {a}
def _root_.Set.fintypeOfMemBounds {s : Set α} [DecidablePred (· ∈ s)] (ha : a ∈ lowerBounds s)
(hb : b ∈ upperBounds s) : Fintype s :=
Set.fintypeSubset (Set.Icc a b) fun _ hx => ⟨ha hx, hb hx⟩
#align set.fintype_of_mem_bounds Set.fintypeOfMemBounds
section LocallyFiniteOrderTop
variable [LocallyFiniteOrderTop α] {a : α}
theorem Ioi_subset_Ici_self : Ioi a ⊆ Ici a := by
simpa [← coe_subset] using Set.Ioi_subset_Ici_self
#align finset.Ioi_subset_Ici_self Finset.Ioi_subset_Ici_self
theorem _root_.BddBelow.finite {s : Set α} (hs : BddBelow s) : s.Finite :=
let ⟨a, ha⟩ := hs
(Ici a).finite_toSet.subset fun _ hx => mem_Ici.2 <| ha hx
#align bdd_below.finite BddBelow.finite
theorem _root_.Set.Infinite.not_bddBelow {s : Set α} : s.Infinite → ¬BddBelow s :=
mt BddBelow.finite
#align set.infinite.not_bdd_below Set.Infinite.not_bddBelow
variable [Fintype α]
| Mathlib/Order/Interval/Finset/Basic.lean | 484 | 486 | theorem filter_lt_eq_Ioi [DecidablePred (a < ·)] : univ.filter (a < ·) = Ioi a := by |
ext
simp
|
import Mathlib.CategoryTheory.ConcreteCategory.Basic
import Mathlib.CategoryTheory.Functor.ReflectsIso
#align_import category_theory.concrete_category.reflects_isomorphisms from "leanprover-community/mathlib"@"73dd4b5411ec8fafb18a9d77c9c826907730af80"
universe u
namespace CategoryTheory
instance : (forget (Type u)).ReflectsIsomorphisms where reflects _ _ _ {i} := i
variable (C : Type (u + 1)) [Category C] [ConcreteCategory.{u} C]
variable (D : Type (u + 1)) [Category D] [ConcreteCategory.{u} D]
-- This should not be an instance, as it causes a typeclass loop
-- with `CategoryTheory.hasForgetToType`.
| Mathlib/CategoryTheory/ConcreteCategory/ReflectsIso.lean | 31 | 38 | theorem reflectsIsomorphisms_forget₂ [HasForget₂ C D] [(forget C).ReflectsIsomorphisms] :
(forget₂ C D).ReflectsIsomorphisms :=
{ reflects := fun X Y f {i} => by
haveI i' : IsIso ((forget D).map ((forget₂ C D).map f)) := Functor.map_isIso (forget D) _
haveI : IsIso ((forget C).map f) := by |
have := @HasForget₂.forget_comp C D
rwa [← this]
apply isIso_of_reflects_iso f (forget C) }
|
import Mathlib.Algebra.Group.Nat
set_option autoImplicit true
open Lean hiding Literal HashMap
open Batteries
namespace Sat
inductive Literal
| pos : Nat → Literal
| neg : Nat → Literal
def Literal.ofInt (i : Int) : Literal :=
if i < 0 then Literal.neg (-i-1).toNat else Literal.pos (i-1).toNat
def Literal.negate : Literal → Literal
| pos i => neg i
| neg i => pos i
instance : ToExpr Literal where
toTypeExpr := mkConst ``Literal
toExpr
| Literal.pos i => mkApp (mkConst ``Literal.pos) (mkRawNatLit i)
| Literal.neg i => mkApp (mkConst ``Literal.neg) (mkRawNatLit i)
def Clause := List Literal
def Clause.nil : Clause := []
def Clause.cons : Literal → Clause → Clause := List.cons
abbrev Fmla := List Clause
def Fmla.one (c : Clause) : Fmla := [c]
def Fmla.and (a b : Fmla) : Fmla := a ++ b
structure Fmla.subsumes (f f' : Fmla) : Prop where
prop : ∀ x, x ∈ f' → x ∈ f
theorem Fmla.subsumes_self (f : Fmla) : f.subsumes f := ⟨fun _ h ↦ h⟩
theorem Fmla.subsumes_left (f f₁ f₂ : Fmla) (H : f.subsumes (f₁.and f₂)) : f.subsumes f₁ :=
⟨fun _ h ↦ H.1 _ <| List.mem_append.2 <| Or.inl h⟩
theorem Fmla.subsumes_right (f f₁ f₂ : Fmla) (H : f.subsumes (f₁.and f₂)) : f.subsumes f₂ :=
⟨fun _ h ↦ H.1 _ <| List.mem_append.2 <| Or.inr h⟩
def Valuation := Nat → Prop
def Valuation.neg (v : Valuation) : Literal → Prop
| Literal.pos i => ¬ v i
| Literal.neg i => v i
def Valuation.satisfies (v : Valuation) : Clause → Prop
| [] => False
| l::c => v.neg l → v.satisfies c
structure Valuation.satisfies_fmla (v : Valuation) (f : Fmla) : Prop where
prop : ∀ c, c ∈ f → v.satisfies c
def Fmla.proof (f : Fmla) (c : Clause) : Prop :=
∀ v : Valuation, v.satisfies_fmla f → v.satisfies c
theorem Fmla.proof_of_subsumes (H : Fmla.subsumes f (Fmla.one c)) : f.proof c :=
fun _ h ↦ h.1 _ <| H.1 _ <| List.Mem.head ..
theorem Valuation.by_cases {v : Valuation} {l}
(h₁ : v.neg l.negate → False) (h₂ : v.neg l → False) : False :=
match l with
| Literal.pos _ => h₂ h₁
| Literal.neg _ => h₁ h₂
def Valuation.implies (v : Valuation) (p : Prop) : List Prop → Nat → Prop
| [], _ => p
| a::as, n => (v n ↔ a) → v.implies p as (n+1)
def Valuation.mk : List Prop → Valuation
| [], _ => False
| a::_, 0 => a
| _::as, n+1 => mk as n
| Mathlib/Tactic/Sat/FromLRAT.lean | 156 | 166 | theorem Valuation.mk_implies {as ps} (as₁) : as = List.reverseAux as₁ ps →
(Valuation.mk as).implies p ps as₁.length → p := by |
induction ps generalizing as₁ with
| nil => exact fun _ ↦ id
| cons a as ih =>
refine fun e H ↦ @ih (a::as₁) e (H ?_)
subst e; clear ih H
suffices ∀ n n', n' = List.length as₁ + n →
∀ bs, mk (as₁.reverseAux bs) n' ↔ mk bs n from this 0 _ rfl (a::as)
induction as₁ with simp
| cons b as₁ ih => exact fun n bs ↦ ih (n+1) _ (Nat.succ_add ..) _
|
import Mathlib.Algebra.CharP.Basic
import Mathlib.GroupTheory.Perm.Cycle.Type
import Mathlib.RingTheory.Coprime.Lemmas
#align_import algebra.char_p.char_and_card from "leanprover-community/mathlib"@"2fae5fd7f90711febdadf19c44dc60fae8834d1b"
| Mathlib/Algebra/CharP/CharAndCard.lean | 24 | 47 | theorem isUnit_iff_not_dvd_char_of_ringChar_ne_zero (R : Type*) [CommRing R] (p : ℕ) [Fact p.Prime]
(hR : ringChar R ≠ 0) : IsUnit (p : R) ↔ ¬p ∣ ringChar R := by |
have hch := CharP.cast_eq_zero R (ringChar R)
have hp : p.Prime := Fact.out
constructor
· rintro h₁ ⟨q, hq⟩
rcases IsUnit.exists_left_inv h₁ with ⟨a, ha⟩
have h₃ : ¬ringChar R ∣ q := by
rintro ⟨r, hr⟩
rw [hr, ← mul_assoc, mul_comm p, mul_assoc] at hq
nth_rw 1 [← mul_one (ringChar R)] at hq
exact Nat.Prime.not_dvd_one hp ⟨r, mul_left_cancel₀ hR hq⟩
have h₄ := mt (CharP.intCast_eq_zero_iff R (ringChar R) q).mp
apply_fun ((↑) : ℕ → R) at hq
apply_fun (· * ·) a at hq
rw [Nat.cast_mul, hch, mul_zero, ← mul_assoc, ha, one_mul] at hq
norm_cast at h₄
exact h₄ h₃ hq.symm
· intro h
rcases (hp.coprime_iff_not_dvd.mpr h).isCoprime with ⟨a, b, hab⟩
apply_fun ((↑) : ℤ → R) at hab
push_cast at hab
rw [hch, mul_zero, add_zero, mul_comm] at hab
exact isUnit_of_mul_eq_one (p : R) a hab
|
import Mathlib.NumberTheory.Padics.PadicIntegers
import Mathlib.RingTheory.ZMod
#align_import number_theory.padics.ring_homs from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950"
noncomputable section
open scoped Classical
open Nat LocalRing Padic
namespace PadicInt
variable {p : ℕ} [hp_prime : Fact p.Prime]
section lift
open CauSeq PadicSeq
variable {R : Type*} [NonAssocSemiring R] (f : ∀ k : ℕ, R →+* ZMod (p ^ k))
(f_compat : ∀ (k1 k2) (hk : k1 ≤ k2), (ZMod.castHom (pow_dvd_pow p hk) _).comp (f k2) = f k1)
def nthHom (r : R) : ℕ → ℤ := fun n => (f n r : ZMod (p ^ n)).val
#align padic_int.nth_hom PadicInt.nthHom
@[simp]
theorem nthHom_zero : nthHom f 0 = 0 := by
simp (config := { unfoldPartialApp := true }) [nthHom]
rfl
#align padic_int.nth_hom_zero PadicInt.nthHom_zero
variable {f}
theorem pow_dvd_nthHom_sub (r : R) (i j : ℕ) (h : i ≤ j) :
(p : ℤ) ^ i ∣ nthHom f r j - nthHom f r i := by
specialize f_compat i j h
rw [← Int.natCast_pow, ← ZMod.intCast_zmod_eq_zero_iff_dvd, Int.cast_sub]
dsimp [nthHom]
rw [← f_compat, RingHom.comp_apply]
simp only [ZMod.cast_id, ZMod.castHom_apply, sub_self, ZMod.natCast_val, ZMod.intCast_cast]
#align padic_int.pow_dvd_nth_hom_sub PadicInt.pow_dvd_nthHom_sub
theorem isCauSeq_nthHom (r : R) : IsCauSeq (padicNorm p) fun n => nthHom f r n := by
intro ε hε
obtain ⟨k, hk⟩ : ∃ k : ℕ, (p : ℚ) ^ (-((k : ℕ) : ℤ)) < ε := exists_pow_neg_lt_rat p hε
use k
intro j hj
refine lt_of_le_of_lt ?_ hk
-- Need to do beta reduction first, as `norm_cast` doesn't.
-- Added to adapt to leanprover/lean4#2734.
beta_reduce
norm_cast
rw [← padicNorm.dvd_iff_norm_le]
exact mod_cast pow_dvd_nthHom_sub f_compat r k j hj
#align padic_int.is_cau_seq_nth_hom PadicInt.isCauSeq_nthHom
def nthHomSeq (r : R) : PadicSeq p :=
⟨fun n => nthHom f r n, isCauSeq_nthHom f_compat r⟩
#align padic_int.nth_hom_seq PadicInt.nthHomSeq
-- this lemma ran into issues after changing to `NeZero` and I'm not sure why.
| Mathlib/NumberTheory/Padics/RingHoms.lean | 537 | 544 | theorem nthHomSeq_one : nthHomSeq f_compat 1 ≈ 1 := by |
intro ε hε
change _ < _ at hε
use 1
intro j hj
haveI : Fact (1 < p ^ j) := ⟨Nat.one_lt_pow (by omega) hp_prime.1.one_lt⟩
suffices (ZMod.cast (1 : ZMod (p ^ j)) : ℚ) = 1 by simp [nthHomSeq, nthHom, this, hε]
rw [ZMod.cast_eq_val, ZMod.val_one, Nat.cast_one]
|
import Mathlib.Algebra.Polynomial.Degree.Definitions
import Mathlib.Data.ENat.Basic
#align_import data.polynomial.degree.trailing_degree from "leanprover-community/mathlib"@"302eab4f46abb63de520828de78c04cb0f9b5836"
noncomputable section
open Function Polynomial Finsupp Finset
open scoped Polynomial
namespace Polynomial
universe u v
variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ}
section Semiring
variable [Semiring R] {p q r : R[X]}
def trailingDegree (p : R[X]) : ℕ∞ :=
p.support.min
#align polynomial.trailing_degree Polynomial.trailingDegree
theorem trailingDegree_lt_wf : WellFounded fun p q : R[X] => trailingDegree p < trailingDegree q :=
InvImage.wf trailingDegree wellFounded_lt
#align polynomial.trailing_degree_lt_wf Polynomial.trailingDegree_lt_wf
def natTrailingDegree (p : R[X]) : ℕ :=
(trailingDegree p).getD 0
#align polynomial.nat_trailing_degree Polynomial.natTrailingDegree
def trailingCoeff (p : R[X]) : R :=
coeff p (natTrailingDegree p)
#align polynomial.trailing_coeff Polynomial.trailingCoeff
def TrailingMonic (p : R[X]) :=
trailingCoeff p = (1 : R)
#align polynomial.trailing_monic Polynomial.TrailingMonic
theorem TrailingMonic.def : TrailingMonic p ↔ trailingCoeff p = 1 :=
Iff.rfl
#align polynomial.trailing_monic.def Polynomial.TrailingMonic.def
instance TrailingMonic.decidable [DecidableEq R] : Decidable (TrailingMonic p) :=
inferInstanceAs <| Decidable (trailingCoeff p = (1 : R))
#align polynomial.trailing_monic.decidable Polynomial.TrailingMonic.decidable
@[simp]
theorem TrailingMonic.trailingCoeff {p : R[X]} (hp : p.TrailingMonic) : trailingCoeff p = 1 :=
hp
#align polynomial.trailing_monic.trailing_coeff Polynomial.TrailingMonic.trailingCoeff
@[simp]
theorem trailingDegree_zero : trailingDegree (0 : R[X]) = ⊤ :=
rfl
#align polynomial.trailing_degree_zero Polynomial.trailingDegree_zero
@[simp]
theorem trailingCoeff_zero : trailingCoeff (0 : R[X]) = 0 :=
rfl
#align polynomial.trailing_coeff_zero Polynomial.trailingCoeff_zero
@[simp]
theorem natTrailingDegree_zero : natTrailingDegree (0 : R[X]) = 0 :=
rfl
#align polynomial.nat_trailing_degree_zero Polynomial.natTrailingDegree_zero
theorem trailingDegree_eq_top : trailingDegree p = ⊤ ↔ p = 0 :=
⟨fun h => support_eq_empty.1 (Finset.min_eq_top.1 h), fun h => by simp [h]⟩
#align polynomial.trailing_degree_eq_top Polynomial.trailingDegree_eq_top
theorem trailingDegree_eq_natTrailingDegree (hp : p ≠ 0) :
trailingDegree p = (natTrailingDegree p : ℕ∞) := by
let ⟨n, hn⟩ :=
not_forall.1 (mt Option.eq_none_iff_forall_not_mem.2 (mt trailingDegree_eq_top.1 hp))
have hn : trailingDegree p = n := Classical.not_not.1 hn
rw [natTrailingDegree, hn]
rfl
#align polynomial.trailing_degree_eq_nat_trailing_degree Polynomial.trailingDegree_eq_natTrailingDegree
theorem trailingDegree_eq_iff_natTrailingDegree_eq {p : R[X]} {n : ℕ} (hp : p ≠ 0) :
p.trailingDegree = n ↔ p.natTrailingDegree = n := by
rw [trailingDegree_eq_natTrailingDegree hp]
exact WithTop.coe_eq_coe
#align polynomial.trailing_degree_eq_iff_nat_trailing_degree_eq Polynomial.trailingDegree_eq_iff_natTrailingDegree_eq
| Mathlib/Algebra/Polynomial/Degree/TrailingDegree.lean | 117 | 130 | theorem trailingDegree_eq_iff_natTrailingDegree_eq_of_pos {p : R[X]} {n : ℕ} (hn : 0 < n) :
p.trailingDegree = n ↔ p.natTrailingDegree = n := by |
constructor
· intro H
rwa [← trailingDegree_eq_iff_natTrailingDegree_eq]
rintro rfl
rw [trailingDegree_zero] at H
exact Option.noConfusion H
· intro H
rwa [trailingDegree_eq_iff_natTrailingDegree_eq]
rintro rfl
rw [natTrailingDegree_zero] at H
rw [H] at hn
exact lt_irrefl _ hn
|
import Mathlib.Topology.Category.TopCat.Limits.Products
#align_import topology.category.Top.limits.pullbacks from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1"
-- Porting note: every ML3 decl has an uppercase letter
set_option linter.uppercaseLean3 false
open TopologicalSpace
open CategoryTheory
open CategoryTheory.Limits
universe v u w
noncomputable section
namespace TopCat
variable {J : Type v} [SmallCategory J]
--TODO: Add analogous constructions for `pushout`.
theorem coinduced_of_isColimit {F : J ⥤ TopCat.{max v u}} (c : Cocone F) (hc : IsColimit c) :
c.pt.str = ⨆ j, (F.obj j).str.coinduced (c.ι.app j) := by
let homeo := homeoOfIso (hc.coconePointUniqueUpToIso (colimitCoconeIsColimit F))
ext
refine homeo.symm.isOpen_preimage.symm.trans (Iff.trans ?_ isOpen_iSup_iff.symm)
exact isOpen_iSup_iff
#align Top.coinduced_of_is_colimit TopCat.coinduced_of_isColimit
theorem colimit_topology (F : J ⥤ TopCat.{max v u}) :
(colimit F).str = ⨆ j, (F.obj j).str.coinduced (colimit.ι F j) :=
coinduced_of_isColimit _ (colimit.isColimit F)
#align Top.colimit_topology TopCat.colimit_topology
| Mathlib/Topology/Category/TopCat/Limits/Pullbacks.lean | 460 | 464 | theorem colimit_isOpen_iff (F : J ⥤ TopCat.{max v u}) (U : Set ((colimit F : _) : Type max v u)) :
IsOpen U ↔ ∀ j, IsOpen (colimit.ι F j ⁻¹' U) := by |
dsimp [topologicalSpace_coe]
conv_lhs => rw [colimit_topology F]
exact isOpen_iSup_iff
|
import Mathlib.Combinatorics.SimpleGraph.Subgraph
import Mathlib.Data.List.Rotate
#align_import combinatorics.simple_graph.connectivity from "leanprover-community/mathlib"@"b99e2d58a5e6861833fa8de11e51a81144258db4"
open Function
universe u v w
namespace SimpleGraph
variable {V : Type u} {V' : Type v} {V'' : Type w}
variable (G : SimpleGraph V) (G' : SimpleGraph V') (G'' : SimpleGraph V'')
inductive Walk : V → V → Type u
| nil {u : V} : Walk u u
| cons {u v w : V} (h : G.Adj u v) (p : Walk v w) : Walk u w
deriving DecidableEq
#align simple_graph.walk SimpleGraph.Walk
attribute [refl] Walk.nil
@[simps]
instance Walk.instInhabited (v : V) : Inhabited (G.Walk v v) := ⟨Walk.nil⟩
#align simple_graph.walk.inhabited SimpleGraph.Walk.instInhabited
@[match_pattern, reducible]
def Adj.toWalk {G : SimpleGraph V} {u v : V} (h : G.Adj u v) : G.Walk u v :=
Walk.cons h Walk.nil
#align simple_graph.adj.to_walk SimpleGraph.Adj.toWalk
namespace Walk
variable {G}
@[match_pattern]
abbrev nil' (u : V) : G.Walk u u := Walk.nil
#align simple_graph.walk.nil' SimpleGraph.Walk.nil'
@[match_pattern]
abbrev cons' (u v w : V) (h : G.Adj u v) (p : G.Walk v w) : G.Walk u w := Walk.cons h p
#align simple_graph.walk.cons' SimpleGraph.Walk.cons'
protected def copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : G.Walk u' v' :=
hu ▸ hv ▸ p
#align simple_graph.walk.copy SimpleGraph.Walk.copy
@[simp]
theorem copy_rfl_rfl {u v} (p : G.Walk u v) : p.copy rfl rfl = p := rfl
#align simple_graph.walk.copy_rfl_rfl SimpleGraph.Walk.copy_rfl_rfl
@[simp]
theorem copy_copy {u v u' v' u'' v''} (p : G.Walk u v)
(hu : u = u') (hv : v = v') (hu' : u' = u'') (hv' : v' = v'') :
(p.copy hu hv).copy hu' hv' = p.copy (hu.trans hu') (hv.trans hv') := by
subst_vars
rfl
#align simple_graph.walk.copy_copy SimpleGraph.Walk.copy_copy
@[simp]
theorem copy_nil {u u'} (hu : u = u') : (Walk.nil : G.Walk u u).copy hu hu = Walk.nil := by
subst_vars
rfl
#align simple_graph.walk.copy_nil SimpleGraph.Walk.copy_nil
theorem copy_cons {u v w u' w'} (h : G.Adj u v) (p : G.Walk v w) (hu : u = u') (hw : w = w') :
(Walk.cons h p).copy hu hw = Walk.cons (hu ▸ h) (p.copy rfl hw) := by
subst_vars
rfl
#align simple_graph.walk.copy_cons SimpleGraph.Walk.copy_cons
@[simp]
theorem cons_copy {u v w v' w'} (h : G.Adj u v) (p : G.Walk v' w') (hv : v' = v) (hw : w' = w) :
Walk.cons h (p.copy hv hw) = (Walk.cons (hv ▸ h) p).copy rfl hw := by
subst_vars
rfl
#align simple_graph.walk.cons_copy SimpleGraph.Walk.cons_copy
theorem exists_eq_cons_of_ne {u v : V} (hne : u ≠ v) :
∀ (p : G.Walk u v), ∃ (w : V) (h : G.Adj u w) (p' : G.Walk w v), p = cons h p'
| nil => (hne rfl).elim
| cons h p' => ⟨_, h, p', rfl⟩
#align simple_graph.walk.exists_eq_cons_of_ne SimpleGraph.Walk.exists_eq_cons_of_ne
def length {u v : V} : G.Walk u v → ℕ
| nil => 0
| cons _ q => q.length.succ
#align simple_graph.walk.length SimpleGraph.Walk.length
@[trans]
def append {u v w : V} : G.Walk u v → G.Walk v w → G.Walk u w
| nil, q => q
| cons h p, q => cons h (p.append q)
#align simple_graph.walk.append SimpleGraph.Walk.append
def concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : G.Walk u w := p.append (cons h nil)
#align simple_graph.walk.concat SimpleGraph.Walk.concat
theorem concat_eq_append {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
p.concat h = p.append (cons h nil) := rfl
#align simple_graph.walk.concat_eq_append SimpleGraph.Walk.concat_eq_append
protected def reverseAux {u v w : V} : G.Walk u v → G.Walk u w → G.Walk v w
| nil, q => q
| cons h p, q => Walk.reverseAux p (cons (G.symm h) q)
#align simple_graph.walk.reverse_aux SimpleGraph.Walk.reverseAux
@[symm]
def reverse {u v : V} (w : G.Walk u v) : G.Walk v u := w.reverseAux nil
#align simple_graph.walk.reverse SimpleGraph.Walk.reverse
def getVert {u v : V} : G.Walk u v → ℕ → V
| nil, _ => u
| cons _ _, 0 => u
| cons _ q, n + 1 => q.getVert n
#align simple_graph.walk.get_vert SimpleGraph.Walk.getVert
@[simp]
theorem getVert_zero {u v} (w : G.Walk u v) : w.getVert 0 = u := by cases w <;> rfl
#align simple_graph.walk.get_vert_zero SimpleGraph.Walk.getVert_zero
theorem getVert_of_length_le {u v} (w : G.Walk u v) {i : ℕ} (hi : w.length ≤ i) :
w.getVert i = v := by
induction w generalizing i with
| nil => rfl
| cons _ _ ih =>
cases i
· cases hi
· exact ih (Nat.succ_le_succ_iff.1 hi)
#align simple_graph.walk.get_vert_of_length_le SimpleGraph.Walk.getVert_of_length_le
@[simp]
theorem getVert_length {u v} (w : G.Walk u v) : w.getVert w.length = v :=
w.getVert_of_length_le rfl.le
#align simple_graph.walk.get_vert_length SimpleGraph.Walk.getVert_length
theorem adj_getVert_succ {u v} (w : G.Walk u v) {i : ℕ} (hi : i < w.length) :
G.Adj (w.getVert i) (w.getVert (i + 1)) := by
induction w generalizing i with
| nil => cases hi
| cons hxy _ ih =>
cases i
· simp [getVert, hxy]
· exact ih (Nat.succ_lt_succ_iff.1 hi)
#align simple_graph.walk.adj_get_vert_succ SimpleGraph.Walk.adj_getVert_succ
@[simp]
theorem cons_append {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (q : G.Walk w x) :
(cons h p).append q = cons h (p.append q) := rfl
#align simple_graph.walk.cons_append SimpleGraph.Walk.cons_append
@[simp]
theorem cons_nil_append {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h nil).append p = cons h p := rfl
#align simple_graph.walk.cons_nil_append SimpleGraph.Walk.cons_nil_append
@[simp]
theorem append_nil {u v : V} (p : G.Walk u v) : p.append nil = p := by
induction p with
| nil => rfl
| cons _ _ ih => rw [cons_append, ih]
#align simple_graph.walk.append_nil SimpleGraph.Walk.append_nil
@[simp]
theorem nil_append {u v : V} (p : G.Walk u v) : nil.append p = p :=
rfl
#align simple_graph.walk.nil_append SimpleGraph.Walk.nil_append
theorem append_assoc {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (r : G.Walk w x) :
p.append (q.append r) = (p.append q).append r := by
induction p with
| nil => rfl
| cons h p' ih =>
dsimp only [append]
rw [ih]
#align simple_graph.walk.append_assoc SimpleGraph.Walk.append_assoc
@[simp]
theorem append_copy_copy {u v w u' v' w'} (p : G.Walk u v) (q : G.Walk v w)
(hu : u = u') (hv : v = v') (hw : w = w') :
(p.copy hu hv).append (q.copy hv hw) = (p.append q).copy hu hw := by
subst_vars
rfl
#align simple_graph.walk.append_copy_copy SimpleGraph.Walk.append_copy_copy
theorem concat_nil {u v : V} (h : G.Adj u v) : nil.concat h = cons h nil := rfl
#align simple_graph.walk.concat_nil SimpleGraph.Walk.concat_nil
@[simp]
theorem concat_cons {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (h' : G.Adj w x) :
(cons h p).concat h' = cons h (p.concat h') := rfl
#align simple_graph.walk.concat_cons SimpleGraph.Walk.concat_cons
theorem append_concat {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (h : G.Adj w x) :
p.append (q.concat h) = (p.append q).concat h := append_assoc _ _ _
#align simple_graph.walk.append_concat SimpleGraph.Walk.append_concat
theorem concat_append {u v w x : V} (p : G.Walk u v) (h : G.Adj v w) (q : G.Walk w x) :
(p.concat h).append q = p.append (cons h q) := by
rw [concat_eq_append, ← append_assoc, cons_nil_append]
#align simple_graph.walk.concat_append SimpleGraph.Walk.concat_append
theorem exists_cons_eq_concat {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
∃ (x : V) (q : G.Walk u x) (h' : G.Adj x w), cons h p = q.concat h' := by
induction p generalizing u with
| nil => exact ⟨_, nil, h, rfl⟩
| cons h' p ih =>
obtain ⟨y, q, h'', hc⟩ := ih h'
refine ⟨y, cons h q, h'', ?_⟩
rw [concat_cons, hc]
#align simple_graph.walk.exists_cons_eq_concat SimpleGraph.Walk.exists_cons_eq_concat
theorem exists_concat_eq_cons {u v w : V} :
∀ (p : G.Walk u v) (h : G.Adj v w),
∃ (x : V) (h' : G.Adj u x) (q : G.Walk x w), p.concat h = cons h' q
| nil, h => ⟨_, h, nil, rfl⟩
| cons h' p, h => ⟨_, h', Walk.concat p h, concat_cons _ _ _⟩
#align simple_graph.walk.exists_concat_eq_cons SimpleGraph.Walk.exists_concat_eq_cons
@[simp]
theorem reverse_nil {u : V} : (nil : G.Walk u u).reverse = nil := rfl
#align simple_graph.walk.reverse_nil SimpleGraph.Walk.reverse_nil
theorem reverse_singleton {u v : V} (h : G.Adj u v) : (cons h nil).reverse = cons (G.symm h) nil :=
rfl
#align simple_graph.walk.reverse_singleton SimpleGraph.Walk.reverse_singleton
@[simp]
theorem cons_reverseAux {u v w x : V} (p : G.Walk u v) (q : G.Walk w x) (h : G.Adj w u) :
(cons h p).reverseAux q = p.reverseAux (cons (G.symm h) q) := rfl
#align simple_graph.walk.cons_reverse_aux SimpleGraph.Walk.cons_reverseAux
@[simp]
protected theorem append_reverseAux {u v w x : V}
(p : G.Walk u v) (q : G.Walk v w) (r : G.Walk u x) :
(p.append q).reverseAux r = q.reverseAux (p.reverseAux r) := by
induction p with
| nil => rfl
| cons h _ ih => exact ih q (cons (G.symm h) r)
#align simple_graph.walk.append_reverse_aux SimpleGraph.Walk.append_reverseAux
@[simp]
protected theorem reverseAux_append {u v w x : V}
(p : G.Walk u v) (q : G.Walk u w) (r : G.Walk w x) :
(p.reverseAux q).append r = p.reverseAux (q.append r) := by
induction p with
| nil => rfl
| cons h _ ih => simp [ih (cons (G.symm h) q)]
#align simple_graph.walk.reverse_aux_append SimpleGraph.Walk.reverseAux_append
protected theorem reverseAux_eq_reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk u w) :
p.reverseAux q = p.reverse.append q := by simp [reverse]
#align simple_graph.walk.reverse_aux_eq_reverse_append SimpleGraph.Walk.reverseAux_eq_reverse_append
@[simp]
theorem reverse_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).reverse = p.reverse.append (cons (G.symm h) nil) := by simp [reverse]
#align simple_graph.walk.reverse_cons SimpleGraph.Walk.reverse_cons
@[simp]
theorem reverse_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).reverse = p.reverse.copy hv hu := by
subst_vars
rfl
#align simple_graph.walk.reverse_copy SimpleGraph.Walk.reverse_copy
@[simp]
theorem reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) :
(p.append q).reverse = q.reverse.append p.reverse := by simp [reverse]
#align simple_graph.walk.reverse_append SimpleGraph.Walk.reverse_append
@[simp]
theorem reverse_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).reverse = cons (G.symm h) p.reverse := by simp [concat_eq_append]
#align simple_graph.walk.reverse_concat SimpleGraph.Walk.reverse_concat
@[simp]
theorem reverse_reverse {u v : V} (p : G.Walk u v) : p.reverse.reverse = p := by
induction p with
| nil => rfl
| cons _ _ ih => simp [ih]
#align simple_graph.walk.reverse_reverse SimpleGraph.Walk.reverse_reverse
@[simp]
theorem length_nil {u : V} : (nil : G.Walk u u).length = 0 := rfl
#align simple_graph.walk.length_nil SimpleGraph.Walk.length_nil
@[simp]
theorem length_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).length = p.length + 1 := rfl
#align simple_graph.walk.length_cons SimpleGraph.Walk.length_cons
@[simp]
theorem length_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).length = p.length := by
subst_vars
rfl
#align simple_graph.walk.length_copy SimpleGraph.Walk.length_copy
@[simp]
theorem length_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) :
(p.append q).length = p.length + q.length := by
induction p with
| nil => simp
| cons _ _ ih => simp [ih, add_comm, add_left_comm, add_assoc]
#align simple_graph.walk.length_append SimpleGraph.Walk.length_append
@[simp]
theorem length_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).length = p.length + 1 := length_append _ _
#align simple_graph.walk.length_concat SimpleGraph.Walk.length_concat
@[simp]
protected theorem length_reverseAux {u v w : V} (p : G.Walk u v) (q : G.Walk u w) :
(p.reverseAux q).length = p.length + q.length := by
induction p with
| nil => simp!
| cons _ _ ih => simp [ih, Nat.succ_add, Nat.add_assoc]
#align simple_graph.walk.length_reverse_aux SimpleGraph.Walk.length_reverseAux
@[simp]
theorem length_reverse {u v : V} (p : G.Walk u v) : p.reverse.length = p.length := by simp [reverse]
#align simple_graph.walk.length_reverse SimpleGraph.Walk.length_reverse
theorem eq_of_length_eq_zero {u v : V} : ∀ {p : G.Walk u v}, p.length = 0 → u = v
| nil, _ => rfl
#align simple_graph.walk.eq_of_length_eq_zero SimpleGraph.Walk.eq_of_length_eq_zero
theorem adj_of_length_eq_one {u v : V} : ∀ {p : G.Walk u v}, p.length = 1 → G.Adj u v
| cons h nil, _ => h
@[simp]
theorem exists_length_eq_zero_iff {u v : V} : (∃ p : G.Walk u v, p.length = 0) ↔ u = v := by
constructor
· rintro ⟨p, hp⟩
exact eq_of_length_eq_zero hp
· rintro rfl
exact ⟨nil, rfl⟩
#align simple_graph.walk.exists_length_eq_zero_iff SimpleGraph.Walk.exists_length_eq_zero_iff
@[simp]
theorem length_eq_zero_iff {u : V} {p : G.Walk u u} : p.length = 0 ↔ p = nil := by cases p <;> simp
#align simple_graph.walk.length_eq_zero_iff SimpleGraph.Walk.length_eq_zero_iff
theorem getVert_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) (i : ℕ) :
(p.append q).getVert i = if i < p.length then p.getVert i else q.getVert (i - p.length) := by
induction p generalizing i with
| nil => simp
| cons h p ih => cases i <;> simp [getVert, ih, Nat.succ_lt_succ_iff]
theorem getVert_reverse {u v : V} (p : G.Walk u v) (i : ℕ) :
p.reverse.getVert i = p.getVert (p.length - i) := by
induction p with
| nil => rfl
| cons h p ih =>
simp only [reverse_cons, getVert_append, length_reverse, ih, length_cons]
split_ifs
next hi =>
rw [Nat.succ_sub hi.le]
simp [getVert]
next hi =>
obtain rfl | hi' := Nat.eq_or_lt_of_not_lt hi
· simp [getVert]
· rw [Nat.eq_add_of_sub_eq (Nat.sub_pos_of_lt hi') rfl, Nat.sub_eq_zero_of_le hi']
simp [getVert]
theorem concat_ne_nil {u v : V} (p : G.Walk u v) (h : G.Adj v u) : p.concat h ≠ nil := by
cases p <;> simp [concat]
#align simple_graph.walk.concat_ne_nil SimpleGraph.Walk.concat_ne_nil
theorem concat_inj {u v v' w : V} {p : G.Walk u v} {h : G.Adj v w} {p' : G.Walk u v'}
{h' : G.Adj v' w} (he : p.concat h = p'.concat h') : ∃ hv : v = v', p.copy rfl hv = p' := by
induction p with
| nil =>
cases p'
· exact ⟨rfl, rfl⟩
· exfalso
simp only [concat_nil, concat_cons, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
simp only [heq_iff_eq] at he
exact concat_ne_nil _ _ he.symm
| cons _ _ ih =>
rw [concat_cons] at he
cases p'
· exfalso
simp only [concat_nil, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
rw [heq_iff_eq] at he
exact concat_ne_nil _ _ he
· rw [concat_cons, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
rw [heq_iff_eq] at he
obtain ⟨rfl, rfl⟩ := ih he
exact ⟨rfl, rfl⟩
#align simple_graph.walk.concat_inj SimpleGraph.Walk.concat_inj
def support {u v : V} : G.Walk u v → List V
| nil => [u]
| cons _ p => u :: p.support
#align simple_graph.walk.support SimpleGraph.Walk.support
def darts {u v : V} : G.Walk u v → List G.Dart
| nil => []
| cons h p => ⟨(u, _), h⟩ :: p.darts
#align simple_graph.walk.darts SimpleGraph.Walk.darts
def edges {u v : V} (p : G.Walk u v) : List (Sym2 V) := p.darts.map Dart.edge
#align simple_graph.walk.edges SimpleGraph.Walk.edges
@[simp]
theorem support_nil {u : V} : (nil : G.Walk u u).support = [u] := rfl
#align simple_graph.walk.support_nil SimpleGraph.Walk.support_nil
@[simp]
theorem support_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).support = u :: p.support := rfl
#align simple_graph.walk.support_cons SimpleGraph.Walk.support_cons
@[simp]
theorem support_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).support = p.support.concat w := by
induction p <;> simp [*, concat_nil]
#align simple_graph.walk.support_concat SimpleGraph.Walk.support_concat
@[simp]
theorem support_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).support = p.support := by
subst_vars
rfl
#align simple_graph.walk.support_copy SimpleGraph.Walk.support_copy
theorem support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').support = p.support ++ p'.support.tail := by
induction p <;> cases p' <;> simp [*]
#align simple_graph.walk.support_append SimpleGraph.Walk.support_append
@[simp]
theorem support_reverse {u v : V} (p : G.Walk u v) : p.reverse.support = p.support.reverse := by
induction p <;> simp [support_append, *]
#align simple_graph.walk.support_reverse SimpleGraph.Walk.support_reverse
@[simp]
theorem support_ne_nil {u v : V} (p : G.Walk u v) : p.support ≠ [] := by cases p <;> simp
#align simple_graph.walk.support_ne_nil SimpleGraph.Walk.support_ne_nil
theorem tail_support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').support.tail = p.support.tail ++ p'.support.tail := by
rw [support_append, List.tail_append_of_ne_nil _ _ (support_ne_nil _)]
#align simple_graph.walk.tail_support_append SimpleGraph.Walk.tail_support_append
theorem support_eq_cons {u v : V} (p : G.Walk u v) : p.support = u :: p.support.tail := by
cases p <;> simp
#align simple_graph.walk.support_eq_cons SimpleGraph.Walk.support_eq_cons
@[simp]
theorem start_mem_support {u v : V} (p : G.Walk u v) : u ∈ p.support := by cases p <;> simp
#align simple_graph.walk.start_mem_support SimpleGraph.Walk.start_mem_support
@[simp]
theorem end_mem_support {u v : V} (p : G.Walk u v) : v ∈ p.support := by induction p <;> simp [*]
#align simple_graph.walk.end_mem_support SimpleGraph.Walk.end_mem_support
@[simp]
theorem support_nonempty {u v : V} (p : G.Walk u v) : { w | w ∈ p.support }.Nonempty :=
⟨u, by simp⟩
#align simple_graph.walk.support_nonempty SimpleGraph.Walk.support_nonempty
theorem mem_support_iff {u v w : V} (p : G.Walk u v) :
w ∈ p.support ↔ w = u ∨ w ∈ p.support.tail := by cases p <;> simp
#align simple_graph.walk.mem_support_iff SimpleGraph.Walk.mem_support_iff
theorem mem_support_nil_iff {u v : V} : u ∈ (nil : G.Walk v v).support ↔ u = v := by simp
#align simple_graph.walk.mem_support_nil_iff SimpleGraph.Walk.mem_support_nil_iff
@[simp]
theorem mem_tail_support_append_iff {t u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
t ∈ (p.append p').support.tail ↔ t ∈ p.support.tail ∨ t ∈ p'.support.tail := by
rw [tail_support_append, List.mem_append]
#align simple_graph.walk.mem_tail_support_append_iff SimpleGraph.Walk.mem_tail_support_append_iff
@[simp]
theorem end_mem_tail_support_of_ne {u v : V} (h : u ≠ v) (p : G.Walk u v) : v ∈ p.support.tail := by
obtain ⟨_, _, _, rfl⟩ := exists_eq_cons_of_ne h p
simp
#align simple_graph.walk.end_mem_tail_support_of_ne SimpleGraph.Walk.end_mem_tail_support_of_ne
@[simp, nolint unusedHavesSuffices]
theorem mem_support_append_iff {t u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
t ∈ (p.append p').support ↔ t ∈ p.support ∨ t ∈ p'.support := by
simp only [mem_support_iff, mem_tail_support_append_iff]
obtain rfl | h := eq_or_ne t v <;> obtain rfl | h' := eq_or_ne t u <;>
-- this `have` triggers the unusedHavesSuffices linter:
(try have := h'.symm) <;> simp [*]
#align simple_graph.walk.mem_support_append_iff SimpleGraph.Walk.mem_support_append_iff
@[simp]
theorem subset_support_append_left {V : Type u} {G : SimpleGraph V} {u v w : V}
(p : G.Walk u v) (q : G.Walk v w) : p.support ⊆ (p.append q).support := by
simp only [Walk.support_append, List.subset_append_left]
#align simple_graph.walk.subset_support_append_left SimpleGraph.Walk.subset_support_append_left
@[simp]
theorem subset_support_append_right {V : Type u} {G : SimpleGraph V} {u v w : V}
(p : G.Walk u v) (q : G.Walk v w) : q.support ⊆ (p.append q).support := by
intro h
simp (config := { contextual := true }) only [mem_support_append_iff, or_true_iff, imp_true_iff]
#align simple_graph.walk.subset_support_append_right SimpleGraph.Walk.subset_support_append_right
theorem coe_support {u v : V} (p : G.Walk u v) :
(p.support : Multiset V) = {u} + p.support.tail := by cases p <;> rfl
#align simple_graph.walk.coe_support SimpleGraph.Walk.coe_support
theorem coe_support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
((p.append p').support : Multiset V) = {u} + p.support.tail + p'.support.tail := by
rw [support_append, ← Multiset.coe_add, coe_support]
#align simple_graph.walk.coe_support_append SimpleGraph.Walk.coe_support_append
theorem coe_support_append' [DecidableEq V] {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
((p.append p').support : Multiset V) = p.support + p'.support - {v} := by
rw [support_append, ← Multiset.coe_add]
simp only [coe_support]
rw [add_comm ({v} : Multiset V)]
simp only [← add_assoc, add_tsub_cancel_right]
#align simple_graph.walk.coe_support_append' SimpleGraph.Walk.coe_support_append'
theorem chain_adj_support {u v w : V} (h : G.Adj u v) :
∀ (p : G.Walk v w), List.Chain G.Adj u p.support
| nil => List.Chain.cons h List.Chain.nil
| cons h' p => List.Chain.cons h (chain_adj_support h' p)
#align simple_graph.walk.chain_adj_support SimpleGraph.Walk.chain_adj_support
theorem chain'_adj_support {u v : V} : ∀ (p : G.Walk u v), List.Chain' G.Adj p.support
| nil => List.Chain.nil
| cons h p => chain_adj_support h p
#align simple_graph.walk.chain'_adj_support SimpleGraph.Walk.chain'_adj_support
theorem chain_dartAdj_darts {d : G.Dart} {v w : V} (h : d.snd = v) (p : G.Walk v w) :
List.Chain G.DartAdj d p.darts := by
induction p generalizing d with
| nil => exact List.Chain.nil
-- Porting note: needed to defer `h` and `rfl` to help elaboration
| cons h' p ih => exact List.Chain.cons (by exact h) (ih (by rfl))
#align simple_graph.walk.chain_dart_adj_darts SimpleGraph.Walk.chain_dartAdj_darts
theorem chain'_dartAdj_darts {u v : V} : ∀ (p : G.Walk u v), List.Chain' G.DartAdj p.darts
| nil => trivial
-- Porting note: needed to defer `rfl` to help elaboration
| cons h p => chain_dartAdj_darts (by rfl) p
#align simple_graph.walk.chain'_dart_adj_darts SimpleGraph.Walk.chain'_dartAdj_darts
theorem edges_subset_edgeSet {u v : V} :
∀ (p : G.Walk u v) ⦃e : Sym2 V⦄, e ∈ p.edges → e ∈ G.edgeSet
| cons h' p', e, h => by
cases h
· exact h'
next h' => exact edges_subset_edgeSet p' h'
#align simple_graph.walk.edges_subset_edge_set SimpleGraph.Walk.edges_subset_edgeSet
theorem adj_of_mem_edges {u v x y : V} (p : G.Walk u v) (h : s(x, y) ∈ p.edges) : G.Adj x y :=
edges_subset_edgeSet p h
#align simple_graph.walk.adj_of_mem_edges SimpleGraph.Walk.adj_of_mem_edges
@[simp]
theorem darts_nil {u : V} : (nil : G.Walk u u).darts = [] := rfl
#align simple_graph.walk.darts_nil SimpleGraph.Walk.darts_nil
@[simp]
theorem darts_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).darts = ⟨(u, v), h⟩ :: p.darts := rfl
#align simple_graph.walk.darts_cons SimpleGraph.Walk.darts_cons
@[simp]
theorem darts_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).darts = p.darts.concat ⟨(v, w), h⟩ := by
induction p <;> simp [*, concat_nil]
#align simple_graph.walk.darts_concat SimpleGraph.Walk.darts_concat
@[simp]
theorem darts_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).darts = p.darts := by
subst_vars
rfl
#align simple_graph.walk.darts_copy SimpleGraph.Walk.darts_copy
@[simp]
theorem darts_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').darts = p.darts ++ p'.darts := by
induction p <;> simp [*]
#align simple_graph.walk.darts_append SimpleGraph.Walk.darts_append
@[simp]
theorem darts_reverse {u v : V} (p : G.Walk u v) :
p.reverse.darts = (p.darts.map Dart.symm).reverse := by
induction p <;> simp [*, Sym2.eq_swap]
#align simple_graph.walk.darts_reverse SimpleGraph.Walk.darts_reverse
theorem mem_darts_reverse {u v : V} {d : G.Dart} {p : G.Walk u v} :
d ∈ p.reverse.darts ↔ d.symm ∈ p.darts := by simp
#align simple_graph.walk.mem_darts_reverse SimpleGraph.Walk.mem_darts_reverse
theorem cons_map_snd_darts {u v : V} (p : G.Walk u v) : (u :: p.darts.map (·.snd)) = p.support := by
induction p <;> simp! [*]
#align simple_graph.walk.cons_map_snd_darts SimpleGraph.Walk.cons_map_snd_darts
theorem map_snd_darts {u v : V} (p : G.Walk u v) : p.darts.map (·.snd) = p.support.tail := by
simpa using congr_arg List.tail (cons_map_snd_darts p)
#align simple_graph.walk.map_snd_darts SimpleGraph.Walk.map_snd_darts
theorem map_fst_darts_append {u v : V} (p : G.Walk u v) :
p.darts.map (·.fst) ++ [v] = p.support := by
induction p <;> simp! [*]
#align simple_graph.walk.map_fst_darts_append SimpleGraph.Walk.map_fst_darts_append
theorem map_fst_darts {u v : V} (p : G.Walk u v) : p.darts.map (·.fst) = p.support.dropLast := by
simpa! using congr_arg List.dropLast (map_fst_darts_append p)
#align simple_graph.walk.map_fst_darts SimpleGraph.Walk.map_fst_darts
@[simp]
theorem edges_nil {u : V} : (nil : G.Walk u u).edges = [] := rfl
#align simple_graph.walk.edges_nil SimpleGraph.Walk.edges_nil
@[simp]
theorem edges_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).edges = s(u, v) :: p.edges := rfl
#align simple_graph.walk.edges_cons SimpleGraph.Walk.edges_cons
@[simp]
theorem edges_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).edges = p.edges.concat s(v, w) := by simp [edges]
#align simple_graph.walk.edges_concat SimpleGraph.Walk.edges_concat
@[simp]
theorem edges_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).edges = p.edges := by
subst_vars
rfl
#align simple_graph.walk.edges_copy SimpleGraph.Walk.edges_copy
@[simp]
theorem edges_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').edges = p.edges ++ p'.edges := by simp [edges]
#align simple_graph.walk.edges_append SimpleGraph.Walk.edges_append
@[simp]
theorem edges_reverse {u v : V} (p : G.Walk u v) : p.reverse.edges = p.edges.reverse := by
simp [edges, List.map_reverse]
#align simple_graph.walk.edges_reverse SimpleGraph.Walk.edges_reverse
@[simp]
theorem length_support {u v : V} (p : G.Walk u v) : p.support.length = p.length + 1 := by
induction p <;> simp [*]
#align simple_graph.walk.length_support SimpleGraph.Walk.length_support
@[simp]
theorem length_darts {u v : V} (p : G.Walk u v) : p.darts.length = p.length := by
induction p <;> simp [*]
#align simple_graph.walk.length_darts SimpleGraph.Walk.length_darts
@[simp]
theorem length_edges {u v : V} (p : G.Walk u v) : p.edges.length = p.length := by simp [edges]
#align simple_graph.walk.length_edges SimpleGraph.Walk.length_edges
theorem dart_fst_mem_support_of_mem_darts {u v : V} :
∀ (p : G.Walk u v) {d : G.Dart}, d ∈ p.darts → d.fst ∈ p.support
| cons h p', d, hd => by
simp only [support_cons, darts_cons, List.mem_cons] at hd ⊢
rcases hd with (rfl | hd)
· exact Or.inl rfl
· exact Or.inr (dart_fst_mem_support_of_mem_darts _ hd)
#align simple_graph.walk.dart_fst_mem_support_of_mem_darts SimpleGraph.Walk.dart_fst_mem_support_of_mem_darts
theorem dart_snd_mem_support_of_mem_darts {u v : V} (p : G.Walk u v) {d : G.Dart}
(h : d ∈ p.darts) : d.snd ∈ p.support := by
simpa using p.reverse.dart_fst_mem_support_of_mem_darts (by simp [h] : d.symm ∈ p.reverse.darts)
#align simple_graph.walk.dart_snd_mem_support_of_mem_darts SimpleGraph.Walk.dart_snd_mem_support_of_mem_darts
theorem fst_mem_support_of_mem_edges {t u v w : V} (p : G.Walk v w) (he : s(t, u) ∈ p.edges) :
t ∈ p.support := by
obtain ⟨d, hd, he⟩ := List.mem_map.mp he
rw [dart_edge_eq_mk'_iff'] at he
rcases he with (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩)
· exact dart_fst_mem_support_of_mem_darts _ hd
· exact dart_snd_mem_support_of_mem_darts _ hd
#align simple_graph.walk.fst_mem_support_of_mem_edges SimpleGraph.Walk.fst_mem_support_of_mem_edges
theorem snd_mem_support_of_mem_edges {t u v w : V} (p : G.Walk v w) (he : s(t, u) ∈ p.edges) :
u ∈ p.support := by
rw [Sym2.eq_swap] at he
exact p.fst_mem_support_of_mem_edges he
#align simple_graph.walk.snd_mem_support_of_mem_edges SimpleGraph.Walk.snd_mem_support_of_mem_edges
theorem darts_nodup_of_support_nodup {u v : V} {p : G.Walk u v} (h : p.support.Nodup) :
p.darts.Nodup := by
induction p with
| nil => simp
| cons _ p' ih =>
simp only [darts_cons, support_cons, List.nodup_cons] at h ⊢
exact ⟨fun h' => h.1 (dart_fst_mem_support_of_mem_darts p' h'), ih h.2⟩
#align simple_graph.walk.darts_nodup_of_support_nodup SimpleGraph.Walk.darts_nodup_of_support_nodup
theorem edges_nodup_of_support_nodup {u v : V} {p : G.Walk u v} (h : p.support.Nodup) :
p.edges.Nodup := by
induction p with
| nil => simp
| cons _ p' ih =>
simp only [edges_cons, support_cons, List.nodup_cons] at h ⊢
exact ⟨fun h' => h.1 (fst_mem_support_of_mem_edges p' h'), ih h.2⟩
#align simple_graph.walk.edges_nodup_of_support_nodup SimpleGraph.Walk.edges_nodup_of_support_nodup
inductive Nil : {v w : V} → G.Walk v w → Prop
| nil {u : V} : Nil (nil : G.Walk u u)
variable {u v w : V}
@[simp] lemma nil_nil : (nil : G.Walk u u).Nil := Nil.nil
@[simp] lemma not_nil_cons {h : G.Adj u v} {p : G.Walk v w} : ¬ (cons h p).Nil := nofun
instance (p : G.Walk v w) : Decidable p.Nil :=
match p with
| nil => isTrue .nil
| cons _ _ => isFalse nofun
protected lemma Nil.eq {p : G.Walk v w} : p.Nil → v = w | .nil => rfl
lemma not_nil_of_ne {p : G.Walk v w} : v ≠ w → ¬ p.Nil := mt Nil.eq
lemma nil_iff_support_eq {p : G.Walk v w} : p.Nil ↔ p.support = [v] := by
cases p <;> simp
lemma nil_iff_length_eq {p : G.Walk v w} : p.Nil ↔ p.length = 0 := by
cases p <;> simp
lemma not_nil_iff {p : G.Walk v w} :
¬ p.Nil ↔ ∃ (u : V) (h : G.Adj v u) (q : G.Walk u w), p = cons h q := by
cases p <;> simp [*]
lemma nil_iff_eq_nil : ∀ {p : G.Walk v v}, p.Nil ↔ p = nil
| .nil | .cons _ _ => by simp
alias ⟨Nil.eq_nil, _⟩ := nil_iff_eq_nil
@[elab_as_elim]
def notNilRec {motive : {u w : V} → (p : G.Walk u w) → (h : ¬ p.Nil) → Sort*}
(cons : {u v w : V} → (h : G.Adj u v) → (q : G.Walk v w) → motive (cons h q) not_nil_cons)
(p : G.Walk u w) : (hp : ¬ p.Nil) → motive p hp :=
match p with
| nil => fun hp => absurd .nil hp
| .cons h q => fun _ => cons h q
def sndOfNotNil (p : G.Walk v w) (hp : ¬ p.Nil) : V :=
p.notNilRec (@fun _ u _ _ _ => u) hp
@[simp] lemma adj_sndOfNotNil {p : G.Walk v w} (hp : ¬ p.Nil) :
G.Adj v (p.sndOfNotNil hp) :=
p.notNilRec (fun h _ => h) hp
def tail (p : G.Walk u v) (hp : ¬ p.Nil) : G.Walk (p.sndOfNotNil hp) v :=
p.notNilRec (fun _ q => q) hp
@[simps]
def firstDart (p : G.Walk v w) (hp : ¬ p.Nil) : G.Dart where
fst := v
snd := p.sndOfNotNil hp
adj := p.adj_sndOfNotNil hp
lemma edge_firstDart (p : G.Walk v w) (hp : ¬ p.Nil) :
(p.firstDart hp).edge = s(v, p.sndOfNotNil hp) := rfl
variable {x y : V} -- TODO: rename to u, v, w instead?
@[simp] lemma cons_tail_eq (p : G.Walk x y) (hp : ¬ p.Nil) :
cons (p.adj_sndOfNotNil hp) (p.tail hp) = p :=
p.notNilRec (fun _ _ => rfl) hp
@[simp] lemma cons_support_tail (p : G.Walk x y) (hp : ¬p.Nil) :
x :: (p.tail hp).support = p.support := by
rw [← support_cons, cons_tail_eq]
@[simp] lemma length_tail_add_one {p : G.Walk x y} (hp : ¬ p.Nil) :
(p.tail hp).length + 1 = p.length := by
rw [← length_cons, cons_tail_eq]
@[simp] lemma nil_copy {x' y' : V} {p : G.Walk x y} (hx : x = x') (hy : y = y') :
(p.copy hx hy).Nil = p.Nil := by
subst_vars; rfl
@[simp] lemma support_tail (p : G.Walk v v) (hp) :
(p.tail hp).support = p.support.tail := by
rw [← cons_support_tail p hp, List.tail_cons]
@[mk_iff isTrail_def]
structure IsTrail {u v : V} (p : G.Walk u v) : Prop where
edges_nodup : p.edges.Nodup
#align simple_graph.walk.is_trail SimpleGraph.Walk.IsTrail
#align simple_graph.walk.is_trail_def SimpleGraph.Walk.isTrail_def
structure IsPath {u v : V} (p : G.Walk u v) extends IsTrail p : Prop where
support_nodup : p.support.Nodup
#align simple_graph.walk.is_path SimpleGraph.Walk.IsPath
-- Porting note: used to use `extends to_trail : is_trail p` in structure
protected lemma IsPath.isTrail {p : Walk G u v}(h : IsPath p) : IsTrail p := h.toIsTrail
#align simple_graph.walk.is_path.to_trail SimpleGraph.Walk.IsPath.isTrail
@[mk_iff isCircuit_def]
structure IsCircuit {u : V} (p : G.Walk u u) extends IsTrail p : Prop where
ne_nil : p ≠ nil
#align simple_graph.walk.is_circuit SimpleGraph.Walk.IsCircuit
#align simple_graph.walk.is_circuit_def SimpleGraph.Walk.isCircuit_def
-- Porting note: used to use `extends to_trail : is_trail p` in structure
protected lemma IsCircuit.isTrail {p : Walk G u u} (h : IsCircuit p) : IsTrail p := h.toIsTrail
#align simple_graph.walk.is_circuit.to_trail SimpleGraph.Walk.IsCircuit.isTrail
structure IsCycle {u : V} (p : G.Walk u u) extends IsCircuit p : Prop where
support_nodup : p.support.tail.Nodup
#align simple_graph.walk.is_cycle SimpleGraph.Walk.IsCycle
-- Porting note: used to use `extends to_circuit : is_circuit p` in structure
protected lemma IsCycle.isCircuit {p : Walk G u u} (h : IsCycle p) : IsCircuit p := h.toIsCircuit
#align simple_graph.walk.is_cycle.to_circuit SimpleGraph.Walk.IsCycle.isCircuit
@[simp]
theorem isTrail_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).IsTrail ↔ p.IsTrail := by
subst_vars
rfl
#align simple_graph.walk.is_trail_copy SimpleGraph.Walk.isTrail_copy
theorem IsPath.mk' {u v : V} {p : G.Walk u v} (h : p.support.Nodup) : p.IsPath :=
⟨⟨edges_nodup_of_support_nodup h⟩, h⟩
#align simple_graph.walk.is_path.mk' SimpleGraph.Walk.IsPath.mk'
theorem isPath_def {u v : V} (p : G.Walk u v) : p.IsPath ↔ p.support.Nodup :=
⟨IsPath.support_nodup, IsPath.mk'⟩
#align simple_graph.walk.is_path_def SimpleGraph.Walk.isPath_def
@[simp]
theorem isPath_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).IsPath ↔ p.IsPath := by
subst_vars
rfl
#align simple_graph.walk.is_path_copy SimpleGraph.Walk.isPath_copy
@[simp]
theorem isCircuit_copy {u u'} (p : G.Walk u u) (hu : u = u') :
(p.copy hu hu).IsCircuit ↔ p.IsCircuit := by
subst_vars
rfl
#align simple_graph.walk.is_circuit_copy SimpleGraph.Walk.isCircuit_copy
lemma IsCircuit.not_nil {p : G.Walk v v} (hp : IsCircuit p) : ¬ p.Nil := (hp.ne_nil ·.eq_nil)
theorem isCycle_def {u : V} (p : G.Walk u u) :
p.IsCycle ↔ p.IsTrail ∧ p ≠ nil ∧ p.support.tail.Nodup :=
Iff.intro (fun h => ⟨h.1.1, h.1.2, h.2⟩) fun h => ⟨⟨h.1, h.2.1⟩, h.2.2⟩
#align simple_graph.walk.is_cycle_def SimpleGraph.Walk.isCycle_def
@[simp]
theorem isCycle_copy {u u'} (p : G.Walk u u) (hu : u = u') :
(p.copy hu hu).IsCycle ↔ p.IsCycle := by
subst_vars
rfl
#align simple_graph.walk.is_cycle_copy SimpleGraph.Walk.isCycle_copy
lemma IsCycle.not_nil {p : G.Walk v v} (hp : IsCycle p) : ¬ p.Nil := (hp.ne_nil ·.eq_nil)
@[simp]
theorem IsTrail.nil {u : V} : (nil : G.Walk u u).IsTrail :=
⟨by simp [edges]⟩
#align simple_graph.walk.is_trail.nil SimpleGraph.Walk.IsTrail.nil
| Mathlib/Combinatorics/SimpleGraph/Connectivity.lean | 1,028 | 1,029 | theorem IsTrail.of_cons {u v w : V} {h : G.Adj u v} {p : G.Walk v w} :
(cons h p).IsTrail → p.IsTrail := by | simp [isTrail_def]
|
import Mathlib.Data.Multiset.Dedup
#align_import data.multiset.finset_ops from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0"
namespace Multiset
open List
variable {α : Type*} [DecidableEq α] {s : Multiset α}
def ndinsert (a : α) (s : Multiset α) : Multiset α :=
Quot.liftOn s (fun l => (l.insert a : Multiset α)) fun _ _ p => Quot.sound (p.insert a)
#align multiset.ndinsert Multiset.ndinsert
@[simp]
theorem coe_ndinsert (a : α) (l : List α) : ndinsert a l = (insert a l : List α) :=
rfl
#align multiset.coe_ndinsert Multiset.coe_ndinsert
@[simp, nolint simpNF] -- Porting note (#10675): dsimp can not prove this
theorem ndinsert_zero (a : α) : ndinsert a 0 = {a} :=
rfl
#align multiset.ndinsert_zero Multiset.ndinsert_zero
@[simp]
theorem ndinsert_of_mem {a : α} {s : Multiset α} : a ∈ s → ndinsert a s = s :=
Quot.inductionOn s fun _ h => congr_arg ((↑) : List α → Multiset α) <| insert_of_mem h
#align multiset.ndinsert_of_mem Multiset.ndinsert_of_mem
@[simp]
theorem ndinsert_of_not_mem {a : α} {s : Multiset α} : a ∉ s → ndinsert a s = a ::ₘ s :=
Quot.inductionOn s fun _ h => congr_arg ((↑) : List α → Multiset α) <| insert_of_not_mem h
#align multiset.ndinsert_of_not_mem Multiset.ndinsert_of_not_mem
@[simp]
theorem mem_ndinsert {a b : α} {s : Multiset α} : a ∈ ndinsert b s ↔ a = b ∨ a ∈ s :=
Quot.inductionOn s fun _ => mem_insert_iff
#align multiset.mem_ndinsert Multiset.mem_ndinsert
@[simp]
theorem le_ndinsert_self (a : α) (s : Multiset α) : s ≤ ndinsert a s :=
Quot.inductionOn s fun _ => (sublist_insert _ _).subperm
#align multiset.le_ndinsert_self Multiset.le_ndinsert_self
-- Porting note: removing @[simp], simp can prove it
theorem mem_ndinsert_self (a : α) (s : Multiset α) : a ∈ ndinsert a s :=
mem_ndinsert.2 (Or.inl rfl)
#align multiset.mem_ndinsert_self Multiset.mem_ndinsert_self
theorem mem_ndinsert_of_mem {a b : α} {s : Multiset α} (h : a ∈ s) : a ∈ ndinsert b s :=
mem_ndinsert.2 (Or.inr h)
#align multiset.mem_ndinsert_of_mem Multiset.mem_ndinsert_of_mem
@[simp]
theorem length_ndinsert_of_mem {a : α} {s : Multiset α} (h : a ∈ s) :
card (ndinsert a s) = card s := by simp [h]
#align multiset.length_ndinsert_of_mem Multiset.length_ndinsert_of_mem
@[simp]
theorem length_ndinsert_of_not_mem {a : α} {s : Multiset α} (h : a ∉ s) :
card (ndinsert a s) = card s + 1 := by simp [h]
#align multiset.length_ndinsert_of_not_mem Multiset.length_ndinsert_of_not_mem
theorem dedup_cons {a : α} {s : Multiset α} : dedup (a ::ₘ s) = ndinsert a (dedup s) := by
by_cases h : a ∈ s <;> simp [h]
#align multiset.dedup_cons Multiset.dedup_cons
theorem Nodup.ndinsert (a : α) : Nodup s → Nodup (ndinsert a s) :=
Quot.inductionOn s fun _ => Nodup.insert
#align multiset.nodup.ndinsert Multiset.Nodup.ndinsert
theorem ndinsert_le {a : α} {s t : Multiset α} : ndinsert a s ≤ t ↔ s ≤ t ∧ a ∈ t :=
⟨fun h => ⟨le_trans (le_ndinsert_self _ _) h, mem_of_le h (mem_ndinsert_self _ _)⟩, fun ⟨l, m⟩ =>
if h : a ∈ s then by simp [h, l]
else by
rw [ndinsert_of_not_mem h, ← cons_erase m, cons_le_cons_iff, ← le_cons_of_not_mem h,
cons_erase m];
exact l⟩
#align multiset.ndinsert_le Multiset.ndinsert_le
theorem attach_ndinsert (a : α) (s : Multiset α) :
(s.ndinsert a).attach =
ndinsert ⟨a, mem_ndinsert_self a s⟩ (s.attach.map fun p => ⟨p.1, mem_ndinsert_of_mem p.2⟩) :=
have eq :
∀ h : ∀ p : { x // x ∈ s }, p.1 ∈ s,
(fun p : { x // x ∈ s } => ⟨p.val, h p⟩ : { x // x ∈ s } → { x // x ∈ s }) = id :=
fun h => funext fun p => Subtype.eq rfl
have : ∀ (t) (eq : s.ndinsert a = t), t.attach = ndinsert ⟨a, eq ▸ mem_ndinsert_self a s⟩
(s.attach.map fun p => ⟨p.1, eq ▸ mem_ndinsert_of_mem p.2⟩) := by
intro t ht
by_cases h : a ∈ s
· rw [ndinsert_of_mem h] at ht
subst ht
rw [eq, map_id, ndinsert_of_mem (mem_attach _ _)]
· rw [ndinsert_of_not_mem h] at ht
subst ht
simp [attach_cons, h]
this _ rfl
#align multiset.attach_ndinsert Multiset.attach_ndinsert
@[simp]
theorem disjoint_ndinsert_left {a : α} {s t : Multiset α} :
Disjoint (ndinsert a s) t ↔ a ∉ t ∧ Disjoint s t :=
Iff.trans (by simp [Disjoint]) disjoint_cons_left
#align multiset.disjoint_ndinsert_left Multiset.disjoint_ndinsert_left
@[simp]
theorem disjoint_ndinsert_right {a : α} {s t : Multiset α} :
Disjoint s (ndinsert a t) ↔ a ∉ s ∧ Disjoint s t := by
rw [disjoint_comm, disjoint_ndinsert_left]; tauto
#align multiset.disjoint_ndinsert_right Multiset.disjoint_ndinsert_right
def ndunion (s t : Multiset α) : Multiset α :=
(Quotient.liftOn₂ s t fun l₁ l₂ => (l₁.union l₂ : Multiset α)) fun _ _ _ _ p₁ p₂ =>
Quot.sound <| p₁.union p₂
#align multiset.ndunion Multiset.ndunion
@[simp]
theorem coe_ndunion (l₁ l₂ : List α) : @ndunion α _ l₁ l₂ = (l₁ ∪ l₂ : List α) :=
rfl
#align multiset.coe_ndunion Multiset.coe_ndunion
-- Porting note: removing @[simp], simp can prove it
theorem zero_ndunion (s : Multiset α) : ndunion 0 s = s :=
Quot.inductionOn s fun _ => rfl
#align multiset.zero_ndunion Multiset.zero_ndunion
@[simp]
theorem cons_ndunion (s t : Multiset α) (a : α) : ndunion (a ::ₘ s) t = ndinsert a (ndunion s t) :=
Quot.induction_on₂ s t fun _ _ => rfl
#align multiset.cons_ndunion Multiset.cons_ndunion
@[simp]
theorem mem_ndunion {s t : Multiset α} {a : α} : a ∈ ndunion s t ↔ a ∈ s ∨ a ∈ t :=
Quot.induction_on₂ s t fun _ _ => List.mem_union_iff
#align multiset.mem_ndunion Multiset.mem_ndunion
theorem le_ndunion_right (s t : Multiset α) : t ≤ ndunion s t :=
Quot.induction_on₂ s t fun _ _ => (suffix_union_right _ _).sublist.subperm
#align multiset.le_ndunion_right Multiset.le_ndunion_right
theorem subset_ndunion_right (s t : Multiset α) : t ⊆ ndunion s t :=
subset_of_le (le_ndunion_right s t)
#align multiset.subset_ndunion_right Multiset.subset_ndunion_right
theorem ndunion_le_add (s t : Multiset α) : ndunion s t ≤ s + t :=
Quot.induction_on₂ s t fun _ _ => (union_sublist_append _ _).subperm
#align multiset.ndunion_le_add Multiset.ndunion_le_add
theorem ndunion_le {s t u : Multiset α} : ndunion s t ≤ u ↔ s ⊆ u ∧ t ≤ u :=
Multiset.induction_on s (by simp [zero_ndunion])
(fun _ _ h =>
by simp only [cons_ndunion, mem_ndunion, ndinsert_le, and_comm, cons_subset, and_left_comm, h,
and_assoc])
#align multiset.ndunion_le Multiset.ndunion_le
theorem subset_ndunion_left (s t : Multiset α) : s ⊆ ndunion s t := fun _ h =>
mem_ndunion.2 <| Or.inl h
#align multiset.subset_ndunion_left Multiset.subset_ndunion_left
theorem le_ndunion_left {s} (t : Multiset α) (d : Nodup s) : s ≤ ndunion s t :=
(le_iff_subset d).2 <| subset_ndunion_left _ _
#align multiset.le_ndunion_left Multiset.le_ndunion_left
theorem ndunion_le_union (s t : Multiset α) : ndunion s t ≤ s ∪ t :=
ndunion_le.2 ⟨subset_of_le (le_union_left _ _), le_union_right _ _⟩
#align multiset.ndunion_le_union Multiset.ndunion_le_union
theorem Nodup.ndunion (s : Multiset α) {t : Multiset α} : Nodup t → Nodup (ndunion s t) :=
Quot.induction_on₂ s t fun _ _ => List.Nodup.union _
#align multiset.nodup.ndunion Multiset.Nodup.ndunion
@[simp]
theorem ndunion_eq_union {s t : Multiset α} (d : Nodup s) : ndunion s t = s ∪ t :=
le_antisymm (ndunion_le_union _ _) <| union_le (le_ndunion_left _ d) (le_ndunion_right _ _)
#align multiset.ndunion_eq_union Multiset.ndunion_eq_union
theorem dedup_add (s t : Multiset α) : dedup (s + t) = ndunion s (dedup t) :=
Quot.induction_on₂ s t fun _ _ => congr_arg ((↑) : List α → Multiset α) <| dedup_append _ _
#align multiset.dedup_add Multiset.dedup_add
def ndinter (s t : Multiset α) : Multiset α :=
filter (· ∈ t) s
#align multiset.ndinter Multiset.ndinter
@[simp]
theorem coe_ndinter (l₁ l₂ : List α) : @ndinter α _ l₁ l₂ = (l₁ ∩ l₂ : List α) := by
simp only [ndinter, mem_coe, filter_coe, coe_eq_coe, ← elem_eq_mem]
apply Perm.refl
#align multiset.coe_ndinter Multiset.coe_ndinter
@[simp, nolint simpNF] -- Porting note (#10675): dsimp can not prove this
theorem zero_ndinter (s : Multiset α) : ndinter 0 s = 0 :=
rfl
#align multiset.zero_ndinter Multiset.zero_ndinter
@[simp]
theorem cons_ndinter_of_mem {a : α} (s : Multiset α) {t : Multiset α} (h : a ∈ t) :
ndinter (a ::ₘ s) t = a ::ₘ ndinter s t := by simp [ndinter, h]
#align multiset.cons_ndinter_of_mem Multiset.cons_ndinter_of_mem
@[simp]
theorem ndinter_cons_of_not_mem {a : α} (s : Multiset α) {t : Multiset α} (h : a ∉ t) :
ndinter (a ::ₘ s) t = ndinter s t := by simp [ndinter, h]
#align multiset.ndinter_cons_of_not_mem Multiset.ndinter_cons_of_not_mem
@[simp]
| Mathlib/Data/Multiset/FinsetOps.lean | 241 | 242 | theorem mem_ndinter {s t : Multiset α} {a : α} : a ∈ ndinter s t ↔ a ∈ s ∧ a ∈ t := by |
simp [ndinter, mem_filter]
|
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
| Mathlib/Analysis/Convex/Combination.lean | 54 | 56 | 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]
|
import Mathlib.LinearAlgebra.Dimension.Free
import Mathlib.Algebra.Homology.ShortComplex.ModuleCat
open CategoryTheory
namespace ModuleCat
variable {ι ι' R : Type*} [Ring R] {S : ShortComplex (ModuleCat R)}
(hS : S.Exact) (hS' : S.ShortExact) {v : ι → S.X₁}
open CategoryTheory Submodule Set
section Span
theorem span_exact {β : Type*} {u : ι ⊕ β → S.X₂} (huv : u ∘ Sum.inl = S.f ∘ v)
(hv : ⊤ ≤ span R (range v))
(hw : ⊤ ≤ span R (range (S.g ∘ u ∘ Sum.inr))) :
⊤ ≤ span R (range u) := by
intro m _
have hgm : S.g m ∈ span R (range (S.g ∘ u ∘ Sum.inr)) := hw mem_top
rw [Finsupp.mem_span_range_iff_exists_finsupp] at hgm
obtain ⟨cm, hm⟩ := hgm
let m' : S.X₂ := Finsupp.sum cm fun j a ↦ a • (u (Sum.inr j))
have hsub : m - m' ∈ LinearMap.range S.f := by
rw [hS.moduleCat_range_eq_ker]
simp only [LinearMap.mem_ker, map_sub, sub_eq_zero]
rw [← hm, map_finsupp_sum]
simp only [Function.comp_apply, map_smul]
obtain ⟨n, hnm⟩ := hsub
have hn : n ∈ span R (range v) := hv mem_top
rw [Finsupp.mem_span_range_iff_exists_finsupp] at hn
obtain ⟨cn, hn⟩ := hn
rw [← hn, map_finsupp_sum] at hnm
rw [← sub_add_cancel m m', ← hnm,]
simp only [map_smul]
have hn' : (Finsupp.sum cn fun a b ↦ b • S.f (v a)) =
(Finsupp.sum cn fun a b ↦ b • u (Sum.inl a)) := by
congr; ext a b; rw [← Function.comp_apply (f := S.f), ← huv, Function.comp_apply]
rw [hn']
apply add_mem
· rw [Finsupp.mem_span_range_iff_exists_finsupp]
use cn.mapDomain (Sum.inl)
rw [Finsupp.sum_mapDomain_index_inj Sum.inl_injective]
· rw [Finsupp.mem_span_range_iff_exists_finsupp]
use cm.mapDomain (Sum.inr)
rw [Finsupp.sum_mapDomain_index_inj Sum.inr_injective]
| Mathlib/Algebra/Category/ModuleCat/Free.lean | 129 | 138 | theorem span_rightExact {w : ι' → S.X₃} (hv : ⊤ ≤ span R (range v))
(hw : ⊤ ≤ span R (range w)) (hE : Epi S.g) :
⊤ ≤ span R (range (Sum.elim (S.f ∘ v) (S.g.toFun.invFun ∘ w))) := by |
refine span_exact hS ?_ hv ?_
· simp only [AddHom.toFun_eq_coe, LinearMap.coe_toAddHom, Sum.elim_comp_inl]
· convert hw
simp only [AddHom.toFun_eq_coe, LinearMap.coe_toAddHom, Sum.elim_comp_inr]
rw [ModuleCat.epi_iff_surjective] at hE
rw [← Function.comp.assoc, Function.RightInverse.comp_eq_id (Function.rightInverse_invFun hE),
Function.id_comp]
|
import Mathlib.MeasureTheory.Measure.NullMeasurable
import Mathlib.MeasureTheory.MeasurableSpace.Basic
import Mathlib.Topology.Algebra.Order.LiminfLimsup
#align_import measure_theory.measure.measure_space from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55"
noncomputable section
open Set
open Filter hiding map
open Function MeasurableSpace
open scoped Classical symmDiff
open Topology Filter ENNReal NNReal Interval MeasureTheory
variable {α β γ δ ι R R' : Type*}
namespace MeasureTheory
section
variable {m : MeasurableSpace α} {μ μ₁ μ₂ : Measure α} {s s₁ s₂ t : Set α}
instance ae_isMeasurablyGenerated : IsMeasurablyGenerated (ae μ) :=
⟨fun _s hs =>
let ⟨t, hst, htm, htμ⟩ := exists_measurable_superset_of_null hs
⟨tᶜ, compl_mem_ae_iff.2 htμ, htm.compl, compl_subset_comm.1 hst⟩⟩
#align measure_theory.ae_is_measurably_generated MeasureTheory.ae_isMeasurablyGenerated
theorem ae_uIoc_iff [LinearOrder α] {a b : α} {P : α → Prop} :
(∀ᵐ x ∂μ, x ∈ Ι a b → P x) ↔ (∀ᵐ x ∂μ, x ∈ Ioc a b → P x) ∧ ∀ᵐ x ∂μ, x ∈ Ioc b a → P x := by
simp only [uIoc_eq_union, mem_union, or_imp, eventually_and]
#align measure_theory.ae_uIoc_iff MeasureTheory.ae_uIoc_iff
theorem measure_union (hd : Disjoint s₁ s₂) (h : MeasurableSet s₂) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ :=
measure_union₀ h.nullMeasurableSet hd.aedisjoint
#align measure_theory.measure_union MeasureTheory.measure_union
theorem measure_union' (hd : Disjoint s₁ s₂) (h : MeasurableSet s₁) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ :=
measure_union₀' h.nullMeasurableSet hd.aedisjoint
#align measure_theory.measure_union' MeasureTheory.measure_union'
theorem measure_inter_add_diff (s : Set α) (ht : MeasurableSet t) : μ (s ∩ t) + μ (s \ t) = μ s :=
measure_inter_add_diff₀ _ ht.nullMeasurableSet
#align measure_theory.measure_inter_add_diff MeasureTheory.measure_inter_add_diff
theorem measure_diff_add_inter (s : Set α) (ht : MeasurableSet t) : μ (s \ t) + μ (s ∩ t) = μ s :=
(add_comm _ _).trans (measure_inter_add_diff s ht)
#align measure_theory.measure_diff_add_inter MeasureTheory.measure_diff_add_inter
theorem measure_union_add_inter (s : Set α) (ht : MeasurableSet t) :
μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by
rw [← measure_inter_add_diff (s ∪ t) ht, Set.union_inter_cancel_right, union_diff_right, ←
measure_inter_add_diff s ht]
ac_rfl
#align measure_theory.measure_union_add_inter MeasureTheory.measure_union_add_inter
theorem measure_union_add_inter' (hs : MeasurableSet s) (t : Set α) :
μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by
rw [union_comm, inter_comm, measure_union_add_inter t hs, add_comm]
#align measure_theory.measure_union_add_inter' MeasureTheory.measure_union_add_inter'
lemma measure_symmDiff_eq (hs : MeasurableSet s) (ht : MeasurableSet t) :
μ (s ∆ t) = μ (s \ t) + μ (t \ s) := by
simpa only [symmDiff_def, sup_eq_union] using measure_union disjoint_sdiff_sdiff (ht.diff hs)
lemma measure_symmDiff_le (s t u : Set α) :
μ (s ∆ u) ≤ μ (s ∆ t) + μ (t ∆ u) :=
le_trans (μ.mono <| symmDiff_triangle s t u) (measure_union_le (s ∆ t) (t ∆ u))
theorem measure_add_measure_compl (h : MeasurableSet s) : μ s + μ sᶜ = μ univ :=
measure_add_measure_compl₀ h.nullMeasurableSet
#align measure_theory.measure_add_measure_compl MeasureTheory.measure_add_measure_compl
theorem measure_biUnion₀ {s : Set β} {f : β → Set α} (hs : s.Countable)
(hd : s.Pairwise (AEDisjoint μ on f)) (h : ∀ b ∈ s, NullMeasurableSet (f b) μ) :
μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) := by
haveI := hs.toEncodable
rw [biUnion_eq_iUnion]
exact measure_iUnion₀ (hd.on_injective Subtype.coe_injective fun x => x.2) fun x => h x x.2
#align measure_theory.measure_bUnion₀ MeasureTheory.measure_biUnion₀
theorem measure_biUnion {s : Set β} {f : β → Set α} (hs : s.Countable) (hd : s.PairwiseDisjoint f)
(h : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) :=
measure_biUnion₀ hs hd.aedisjoint fun b hb => (h b hb).nullMeasurableSet
#align measure_theory.measure_bUnion MeasureTheory.measure_biUnion
theorem measure_sUnion₀ {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise (AEDisjoint μ))
(h : ∀ s ∈ S, NullMeasurableSet s μ) : μ (⋃₀ S) = ∑' s : S, μ s := by
rw [sUnion_eq_biUnion, measure_biUnion₀ hs hd h]
#align measure_theory.measure_sUnion₀ MeasureTheory.measure_sUnion₀
theorem measure_sUnion {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise Disjoint)
(h : ∀ s ∈ S, MeasurableSet s) : μ (⋃₀ S) = ∑' s : S, μ s := by
rw [sUnion_eq_biUnion, measure_biUnion hs hd h]
#align measure_theory.measure_sUnion MeasureTheory.measure_sUnion
theorem measure_biUnion_finset₀ {s : Finset ι} {f : ι → Set α}
(hd : Set.Pairwise (↑s) (AEDisjoint μ on f)) (hm : ∀ b ∈ s, NullMeasurableSet (f b) μ) :
μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) := by
rw [← Finset.sum_attach, Finset.attach_eq_univ, ← tsum_fintype]
exact measure_biUnion₀ s.countable_toSet hd hm
#align measure_theory.measure_bUnion_finset₀ MeasureTheory.measure_biUnion_finset₀
theorem measure_biUnion_finset {s : Finset ι} {f : ι → Set α} (hd : PairwiseDisjoint (↑s) f)
(hm : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) :=
measure_biUnion_finset₀ hd.aedisjoint fun b hb => (hm b hb).nullMeasurableSet
#align measure_theory.measure_bUnion_finset MeasureTheory.measure_biUnion_finset
theorem tsum_meas_le_meas_iUnion_of_disjoint₀ {ι : Type*} [MeasurableSpace α] (μ : Measure α)
{As : ι → Set α} (As_mble : ∀ i : ι, NullMeasurableSet (As i) μ)
(As_disj : Pairwise (AEDisjoint μ on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) := by
rw [ENNReal.tsum_eq_iSup_sum, iSup_le_iff]
intro s
simp only [← measure_biUnion_finset₀ (fun _i _hi _j _hj hij => As_disj hij) fun i _ => As_mble i]
gcongr
exact iUnion_subset fun _ ↦ Subset.rfl
theorem tsum_meas_le_meas_iUnion_of_disjoint {ι : Type*} [MeasurableSpace α] (μ : Measure α)
{As : ι → Set α} (As_mble : ∀ i : ι, MeasurableSet (As i))
(As_disj : Pairwise (Disjoint on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) :=
tsum_meas_le_meas_iUnion_of_disjoint₀ μ (fun i ↦ (As_mble i).nullMeasurableSet)
(fun _ _ h ↦ Disjoint.aedisjoint (As_disj h))
#align measure_theory.tsum_meas_le_meas_Union_of_disjoint MeasureTheory.tsum_meas_le_meas_iUnion_of_disjoint
theorem tsum_measure_preimage_singleton {s : Set β} (hs : s.Countable) {f : α → β}
(hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑' b : s, μ (f ⁻¹' {↑b})) = μ (f ⁻¹' s) := by
rw [← Set.biUnion_preimage_singleton, measure_biUnion hs (pairwiseDisjoint_fiber f s) hf]
#align measure_theory.tsum_measure_preimage_singleton MeasureTheory.tsum_measure_preimage_singleton
lemma measure_preimage_eq_zero_iff_of_countable {s : Set β} {f : α → β} (hs : s.Countable) :
μ (f ⁻¹' s) = 0 ↔ ∀ x ∈ s, μ (f ⁻¹' {x}) = 0 := by
rw [← biUnion_preimage_singleton, measure_biUnion_null_iff hs]
theorem sum_measure_preimage_singleton (s : Finset β) {f : α → β}
(hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑ b ∈ s, μ (f ⁻¹' {b})) = μ (f ⁻¹' ↑s) := by
simp only [← measure_biUnion_finset (pairwiseDisjoint_fiber f s) hf,
Finset.set_biUnion_preimage_singleton]
#align measure_theory.sum_measure_preimage_singleton MeasureTheory.sum_measure_preimage_singleton
theorem measure_diff_null' (h : μ (s₁ ∩ s₂) = 0) : μ (s₁ \ s₂) = μ s₁ :=
measure_congr <| diff_ae_eq_self.2 h
#align measure_theory.measure_diff_null' MeasureTheory.measure_diff_null'
theorem measure_add_diff (hs : MeasurableSet s) (t : Set α) : μ s + μ (t \ s) = μ (s ∪ t) := by
rw [← measure_union' disjoint_sdiff_right hs, union_diff_self]
#align measure_theory.measure_add_diff MeasureTheory.measure_add_diff
theorem measure_diff' (s : Set α) (hm : MeasurableSet t) (h_fin : μ t ≠ ∞) :
μ (s \ t) = μ (s ∪ t) - μ t :=
Eq.symm <| ENNReal.sub_eq_of_add_eq h_fin <| by rw [add_comm, measure_add_diff hm, union_comm]
#align measure_theory.measure_diff' MeasureTheory.measure_diff'
theorem measure_diff (h : s₂ ⊆ s₁) (h₂ : MeasurableSet s₂) (h_fin : μ s₂ ≠ ∞) :
μ (s₁ \ s₂) = μ s₁ - μ s₂ := by rw [measure_diff' _ h₂ h_fin, union_eq_self_of_subset_right h]
#align measure_theory.measure_diff MeasureTheory.measure_diff
theorem le_measure_diff : μ s₁ - μ s₂ ≤ μ (s₁ \ s₂) :=
tsub_le_iff_left.2 <| (measure_le_inter_add_diff μ s₁ s₂).trans <| by
gcongr; apply inter_subset_right
#align measure_theory.le_measure_diff MeasureTheory.le_measure_diff
theorem measure_eq_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s = ∞ ↔ μ t = ∞ := by
suffices h : ∀ u v, μ (u ∆ v) ≠ ∞ → μ u = ∞ → μ v = ∞
from ⟨h s t hμst, h t s (symmDiff_comm s t ▸ hμst)⟩
intro u v hμuv hμu
by_contra! hμv
apply hμuv
rw [Set.symmDiff_def, eq_top_iff]
calc
∞ = μ u - μ v := (WithTop.sub_eq_top_iff.2 ⟨hμu, hμv⟩).symm
_ ≤ μ (u \ v) := le_measure_diff
_ ≤ μ (u \ v ∪ v \ u) := measure_mono subset_union_left
theorem measure_ne_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s ≠ ∞ ↔ μ t ≠ ∞ :=
(measure_eq_top_iff_of_symmDiff hμst).ne
theorem measure_diff_lt_of_lt_add (hs : MeasurableSet s) (hst : s ⊆ t) (hs' : μ s ≠ ∞) {ε : ℝ≥0∞}
(h : μ t < μ s + ε) : μ (t \ s) < ε := by
rw [measure_diff hst hs hs']; rw [add_comm] at h
exact ENNReal.sub_lt_of_lt_add (measure_mono hst) h
#align measure_theory.measure_diff_lt_of_lt_add MeasureTheory.measure_diff_lt_of_lt_add
theorem measure_diff_le_iff_le_add (hs : MeasurableSet s) (hst : s ⊆ t) (hs' : μ s ≠ ∞) {ε : ℝ≥0∞} :
μ (t \ s) ≤ ε ↔ μ t ≤ μ s + ε := by rw [measure_diff hst hs hs', tsub_le_iff_left]
#align measure_theory.measure_diff_le_iff_le_add MeasureTheory.measure_diff_le_iff_le_add
theorem measure_eq_measure_of_null_diff {s t : Set α} (hst : s ⊆ t) (h_nulldiff : μ (t \ s) = 0) :
μ s = μ t := measure_congr <|
EventuallyLE.antisymm (HasSubset.Subset.eventuallyLE hst) (ae_le_set.mpr h_nulldiff)
#align measure_theory.measure_eq_measure_of_null_diff MeasureTheory.measure_eq_measure_of_null_diff
theorem measure_eq_measure_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂) (h23 : s₂ ⊆ s₃)
(h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₁ = μ s₂ ∧ μ s₂ = μ s₃ := by
have le12 : μ s₁ ≤ μ s₂ := measure_mono h12
have le23 : μ s₂ ≤ μ s₃ := measure_mono h23
have key : μ s₃ ≤ μ s₁ :=
calc
μ s₃ = μ (s₃ \ s₁ ∪ s₁) := by rw [diff_union_of_subset (h12.trans h23)]
_ ≤ μ (s₃ \ s₁) + μ s₁ := measure_union_le _ _
_ = μ s₁ := by simp only [h_nulldiff, zero_add]
exact ⟨le12.antisymm (le23.trans key), le23.antisymm (key.trans le12)⟩
#align measure_theory.measure_eq_measure_of_between_null_diff MeasureTheory.measure_eq_measure_of_between_null_diff
theorem measure_eq_measure_smaller_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂)
(h23 : s₂ ⊆ s₃) (h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₁ = μ s₂ :=
(measure_eq_measure_of_between_null_diff h12 h23 h_nulldiff).1
#align measure_theory.measure_eq_measure_smaller_of_between_null_diff MeasureTheory.measure_eq_measure_smaller_of_between_null_diff
theorem measure_eq_measure_larger_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂)
(h23 : s₂ ⊆ s₃) (h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₂ = μ s₃ :=
(measure_eq_measure_of_between_null_diff h12 h23 h_nulldiff).2
#align measure_theory.measure_eq_measure_larger_of_between_null_diff MeasureTheory.measure_eq_measure_larger_of_between_null_diff
lemma measure_compl₀ (h : NullMeasurableSet s μ) (hs : μ s ≠ ∞) :
μ sᶜ = μ Set.univ - μ s := by
rw [← measure_add_measure_compl₀ h, ENNReal.add_sub_cancel_left hs]
theorem measure_compl (h₁ : MeasurableSet s) (h_fin : μ s ≠ ∞) : μ sᶜ = μ univ - μ s :=
measure_compl₀ h₁.nullMeasurableSet h_fin
#align measure_theory.measure_compl MeasureTheory.measure_compl
lemma measure_inter_conull' (ht : μ (s \ t) = 0) : μ (s ∩ t) = μ s := by
rw [← diff_compl, measure_diff_null']; rwa [← diff_eq]
lemma measure_inter_conull (ht : μ tᶜ = 0) : μ (s ∩ t) = μ s := by
rw [← diff_compl, measure_diff_null ht]
@[simp]
theorem union_ae_eq_left_iff_ae_subset : (s ∪ t : Set α) =ᵐ[μ] s ↔ t ≤ᵐ[μ] s := by
rw [ae_le_set]
refine
⟨fun h => by simpa only [union_diff_left] using (ae_eq_set.mp h).1, fun h =>
eventuallyLE_antisymm_iff.mpr
⟨by rwa [ae_le_set, union_diff_left],
HasSubset.Subset.eventuallyLE subset_union_left⟩⟩
#align measure_theory.union_ae_eq_left_iff_ae_subset MeasureTheory.union_ae_eq_left_iff_ae_subset
@[simp]
theorem union_ae_eq_right_iff_ae_subset : (s ∪ t : Set α) =ᵐ[μ] t ↔ s ≤ᵐ[μ] t := by
rw [union_comm, union_ae_eq_left_iff_ae_subset]
#align measure_theory.union_ae_eq_right_iff_ae_subset MeasureTheory.union_ae_eq_right_iff_ae_subset
theorem ae_eq_of_ae_subset_of_measure_ge (h₁ : s ≤ᵐ[μ] t) (h₂ : μ t ≤ μ s) (hsm : MeasurableSet s)
(ht : μ t ≠ ∞) : s =ᵐ[μ] t := by
refine eventuallyLE_antisymm_iff.mpr ⟨h₁, ae_le_set.mpr ?_⟩
replace h₂ : μ t = μ s := h₂.antisymm (measure_mono_ae h₁)
replace ht : μ s ≠ ∞ := h₂ ▸ ht
rw [measure_diff' t hsm ht, measure_congr (union_ae_eq_left_iff_ae_subset.mpr h₁), h₂, tsub_self]
#align measure_theory.ae_eq_of_ae_subset_of_measure_ge MeasureTheory.ae_eq_of_ae_subset_of_measure_ge
theorem ae_eq_of_subset_of_measure_ge (h₁ : s ⊆ t) (h₂ : μ t ≤ μ s) (hsm : MeasurableSet s)
(ht : μ t ≠ ∞) : s =ᵐ[μ] t :=
ae_eq_of_ae_subset_of_measure_ge (HasSubset.Subset.eventuallyLE h₁) h₂ hsm ht
#align measure_theory.ae_eq_of_subset_of_measure_ge MeasureTheory.ae_eq_of_subset_of_measure_ge
theorem measure_iUnion_congr_of_subset [Countable β] {s : β → Set α} {t : β → Set α}
(hsub : ∀ b, s b ⊆ t b) (h_le : ∀ b, μ (t b) ≤ μ (s b)) : μ (⋃ b, s b) = μ (⋃ b, t b) := by
rcases Classical.em (∃ b, μ (t b) = ∞) with (⟨b, hb⟩ | htop)
· calc
μ (⋃ b, s b) = ∞ := top_unique (hb ▸ (h_le b).trans <| measure_mono <| subset_iUnion _ _)
_ = μ (⋃ b, t b) := Eq.symm <| top_unique <| hb ▸ measure_mono (subset_iUnion _ _)
push_neg at htop
refine le_antisymm (measure_mono (iUnion_mono hsub)) ?_
set M := toMeasurable μ
have H : ∀ b, (M (t b) ∩ M (⋃ b, s b) : Set α) =ᵐ[μ] M (t b) := by
refine fun b => ae_eq_of_subset_of_measure_ge inter_subset_left ?_ ?_ ?_
· calc
μ (M (t b)) = μ (t b) := measure_toMeasurable _
_ ≤ μ (s b) := h_le b
_ ≤ μ (M (t b) ∩ M (⋃ b, s b)) :=
measure_mono <|
subset_inter ((hsub b).trans <| subset_toMeasurable _ _)
((subset_iUnion _ _).trans <| subset_toMeasurable _ _)
· exact (measurableSet_toMeasurable _ _).inter (measurableSet_toMeasurable _ _)
· rw [measure_toMeasurable]
exact htop b
calc
μ (⋃ b, t b) ≤ μ (⋃ b, M (t b)) := measure_mono (iUnion_mono fun b => subset_toMeasurable _ _)
_ = μ (⋃ b, M (t b) ∩ M (⋃ b, s b)) := measure_congr (EventuallyEq.countable_iUnion H).symm
_ ≤ μ (M (⋃ b, s b)) := measure_mono (iUnion_subset fun b => inter_subset_right)
_ = μ (⋃ b, s b) := measure_toMeasurable _
#align measure_theory.measure_Union_congr_of_subset MeasureTheory.measure_iUnion_congr_of_subset
theorem measure_union_congr_of_subset {t₁ t₂ : Set α} (hs : s₁ ⊆ s₂) (hsμ : μ s₂ ≤ μ s₁)
(ht : t₁ ⊆ t₂) (htμ : μ t₂ ≤ μ t₁) : μ (s₁ ∪ t₁) = μ (s₂ ∪ t₂) := by
rw [union_eq_iUnion, union_eq_iUnion]
exact measure_iUnion_congr_of_subset (Bool.forall_bool.2 ⟨ht, hs⟩) (Bool.forall_bool.2 ⟨htμ, hsμ⟩)
#align measure_theory.measure_union_congr_of_subset MeasureTheory.measure_union_congr_of_subset
@[simp]
theorem measure_iUnion_toMeasurable [Countable β] (s : β → Set α) :
μ (⋃ b, toMeasurable μ (s b)) = μ (⋃ b, s b) :=
Eq.symm <|
measure_iUnion_congr_of_subset (fun _b => subset_toMeasurable _ _) fun _b =>
(measure_toMeasurable _).le
#align measure_theory.measure_Union_to_measurable MeasureTheory.measure_iUnion_toMeasurable
theorem measure_biUnion_toMeasurable {I : Set β} (hc : I.Countable) (s : β → Set α) :
μ (⋃ b ∈ I, toMeasurable μ (s b)) = μ (⋃ b ∈ I, s b) := by
haveI := hc.toEncodable
simp only [biUnion_eq_iUnion, measure_iUnion_toMeasurable]
#align measure_theory.measure_bUnion_to_measurable MeasureTheory.measure_biUnion_toMeasurable
@[simp]
theorem measure_toMeasurable_union : μ (toMeasurable μ s ∪ t) = μ (s ∪ t) :=
Eq.symm <|
measure_union_congr_of_subset (subset_toMeasurable _ _) (measure_toMeasurable _).le Subset.rfl
le_rfl
#align measure_theory.measure_to_measurable_union MeasureTheory.measure_toMeasurable_union
@[simp]
theorem measure_union_toMeasurable : μ (s ∪ toMeasurable μ t) = μ (s ∪ t) :=
Eq.symm <|
measure_union_congr_of_subset Subset.rfl le_rfl (subset_toMeasurable _ _)
(measure_toMeasurable _).le
#align measure_theory.measure_union_to_measurable MeasureTheory.measure_union_toMeasurable
theorem sum_measure_le_measure_univ {s : Finset ι} {t : ι → Set α}
(h : ∀ i ∈ s, MeasurableSet (t i)) (H : Set.PairwiseDisjoint (↑s) t) :
(∑ i ∈ s, μ (t i)) ≤ μ (univ : Set α) := by
rw [← measure_biUnion_finset H h]
exact measure_mono (subset_univ _)
#align measure_theory.sum_measure_le_measure_univ MeasureTheory.sum_measure_le_measure_univ
theorem tsum_measure_le_measure_univ {s : ι → Set α} (hs : ∀ i, MeasurableSet (s i))
(H : Pairwise (Disjoint on s)) : (∑' i, μ (s i)) ≤ μ (univ : Set α) := by
rw [ENNReal.tsum_eq_iSup_sum]
exact iSup_le fun s =>
sum_measure_le_measure_univ (fun i _hi => hs i) fun i _hi j _hj hij => H hij
#align measure_theory.tsum_measure_le_measure_univ MeasureTheory.tsum_measure_le_measure_univ
theorem exists_nonempty_inter_of_measure_univ_lt_tsum_measure {m : MeasurableSpace α}
(μ : Measure α) {s : ι → Set α} (hs : ∀ i, MeasurableSet (s i))
(H : μ (univ : Set α) < ∑' i, μ (s i)) : ∃ i j, i ≠ j ∧ (s i ∩ s j).Nonempty := by
contrapose! H
apply tsum_measure_le_measure_univ hs
intro i j hij
exact disjoint_iff_inter_eq_empty.mpr (H i j hij)
#align measure_theory.exists_nonempty_inter_of_measure_univ_lt_tsum_measure MeasureTheory.exists_nonempty_inter_of_measure_univ_lt_tsum_measure
theorem exists_nonempty_inter_of_measure_univ_lt_sum_measure {m : MeasurableSpace α} (μ : Measure α)
{s : Finset ι} {t : ι → Set α} (h : ∀ i ∈ s, MeasurableSet (t i))
(H : μ (univ : Set α) < ∑ i ∈ s, μ (t i)) :
∃ i ∈ s, ∃ j ∈ s, ∃ _h : i ≠ j, (t i ∩ t j).Nonempty := by
contrapose! H
apply sum_measure_le_measure_univ h
intro i hi j hj hij
exact disjoint_iff_inter_eq_empty.mpr (H i hi j hj hij)
#align measure_theory.exists_nonempty_inter_of_measure_univ_lt_sum_measure MeasureTheory.exists_nonempty_inter_of_measure_univ_lt_sum_measure
theorem nonempty_inter_of_measure_lt_add {m : MeasurableSpace α} (μ : Measure α) {s t u : Set α}
(ht : MeasurableSet t) (h's : s ⊆ u) (h't : t ⊆ u) (h : μ u < μ s + μ t) :
(s ∩ t).Nonempty := by
rw [← Set.not_disjoint_iff_nonempty_inter]
contrapose! h
calc
μ s + μ t = μ (s ∪ t) := (measure_union h ht).symm
_ ≤ μ u := measure_mono (union_subset h's h't)
#align measure_theory.nonempty_inter_of_measure_lt_add MeasureTheory.nonempty_inter_of_measure_lt_add
theorem nonempty_inter_of_measure_lt_add' {m : MeasurableSpace α} (μ : Measure α) {s t u : Set α}
(hs : MeasurableSet s) (h's : s ⊆ u) (h't : t ⊆ u) (h : μ u < μ s + μ t) :
(s ∩ t).Nonempty := by
rw [add_comm] at h
rw [inter_comm]
exact nonempty_inter_of_measure_lt_add μ hs h't h's h
#align measure_theory.nonempty_inter_of_measure_lt_add' MeasureTheory.nonempty_inter_of_measure_lt_add'
theorem measure_iUnion_eq_iSup [Countable ι] {s : ι → Set α} (hd : Directed (· ⊆ ·) s) :
μ (⋃ i, s i) = ⨆ i, μ (s i) := by
cases nonempty_encodable ι
-- WLOG, `ι = ℕ`
generalize ht : Function.extend Encodable.encode s ⊥ = t
replace hd : Directed (· ⊆ ·) t := ht ▸ hd.extend_bot Encodable.encode_injective
suffices μ (⋃ n, t n) = ⨆ n, μ (t n) by
simp only [← ht, Function.apply_extend μ, ← iSup_eq_iUnion,
iSup_extend_bot Encodable.encode_injective, (· ∘ ·), Pi.bot_apply, bot_eq_empty,
measure_empty] at this
exact this.trans (iSup_extend_bot Encodable.encode_injective _)
clear! ι
-- The `≥` inequality is trivial
refine le_antisymm ?_ (iSup_le fun i => measure_mono <| subset_iUnion _ _)
-- Choose `T n ⊇ t n` of the same measure, put `Td n = disjointed T`
set T : ℕ → Set α := fun n => toMeasurable μ (t n)
set Td : ℕ → Set α := disjointed T
have hm : ∀ n, MeasurableSet (Td n) :=
MeasurableSet.disjointed fun n => measurableSet_toMeasurable _ _
calc
μ (⋃ n, t n) ≤ μ (⋃ n, T n) := measure_mono (iUnion_mono fun i => subset_toMeasurable _ _)
_ = μ (⋃ n, Td n) := by rw [iUnion_disjointed]
_ ≤ ∑' n, μ (Td n) := measure_iUnion_le _
_ = ⨆ I : Finset ℕ, ∑ n ∈ I, μ (Td n) := ENNReal.tsum_eq_iSup_sum
_ ≤ ⨆ n, μ (t n) := iSup_le fun I => by
rcases hd.finset_le I with ⟨N, hN⟩
calc
(∑ n ∈ I, μ (Td n)) = μ (⋃ n ∈ I, Td n) :=
(measure_biUnion_finset ((disjoint_disjointed T).set_pairwise I) fun n _ => hm n).symm
_ ≤ μ (⋃ n ∈ I, T n) := measure_mono (iUnion₂_mono fun n _hn => disjointed_subset _ _)
_ = μ (⋃ n ∈ I, t n) := measure_biUnion_toMeasurable I.countable_toSet _
_ ≤ μ (t N) := measure_mono (iUnion₂_subset hN)
_ ≤ ⨆ n, μ (t n) := le_iSup (μ ∘ t) N
#align measure_theory.measure_Union_eq_supr MeasureTheory.measure_iUnion_eq_iSup
theorem measure_iUnion_eq_iSup' {α ι : Type*} [MeasurableSpace α] {μ : Measure α}
[Countable ι] [Preorder ι] [IsDirected ι (· ≤ ·)]
{f : ι → Set α} : μ (⋃ i, f i) = ⨆ i, μ (Accumulate f i) := by
have hd : Directed (· ⊆ ·) (Accumulate f) := by
intro i j
rcases directed_of (· ≤ ·) i j with ⟨k, rik, rjk⟩
exact ⟨k, biUnion_subset_biUnion_left fun l rli ↦ le_trans rli rik,
biUnion_subset_biUnion_left fun l rlj ↦ le_trans rlj rjk⟩
rw [← iUnion_accumulate]
exact measure_iUnion_eq_iSup hd
theorem measure_biUnion_eq_iSup {s : ι → Set α} {t : Set ι} (ht : t.Countable)
(hd : DirectedOn ((· ⊆ ·) on s) t) : μ (⋃ i ∈ t, s i) = ⨆ i ∈ t, μ (s i) := by
haveI := ht.toEncodable
rw [biUnion_eq_iUnion, measure_iUnion_eq_iSup hd.directed_val, ← iSup_subtype'']
#align measure_theory.measure_bUnion_eq_supr MeasureTheory.measure_biUnion_eq_iSup
theorem measure_iInter_eq_iInf [Countable ι] {s : ι → Set α} (h : ∀ i, MeasurableSet (s i))
(hd : Directed (· ⊇ ·) s) (hfin : ∃ i, μ (s i) ≠ ∞) : μ (⋂ i, s i) = ⨅ i, μ (s i) := by
rcases hfin with ⟨k, hk⟩
have : ∀ t ⊆ s k, μ t ≠ ∞ := fun t ht => ne_top_of_le_ne_top hk (measure_mono ht)
rw [← ENNReal.sub_sub_cancel hk (iInf_le _ k), ENNReal.sub_iInf, ←
ENNReal.sub_sub_cancel hk (measure_mono (iInter_subset _ k)), ←
measure_diff (iInter_subset _ k) (MeasurableSet.iInter h) (this _ (iInter_subset _ k)),
diff_iInter, measure_iUnion_eq_iSup]
· congr 1
refine le_antisymm (iSup_mono' fun i => ?_) (iSup_mono fun i => ?_)
· rcases hd i k with ⟨j, hji, hjk⟩
use j
rw [← measure_diff hjk (h _) (this _ hjk)]
gcongr
· rw [tsub_le_iff_right, ← measure_union, Set.union_comm]
· exact measure_mono (diff_subset_iff.1 Subset.rfl)
· apply disjoint_sdiff_left
· apply h i
· exact hd.mono_comp _ fun _ _ => diff_subset_diff_right
#align measure_theory.measure_Inter_eq_infi MeasureTheory.measure_iInter_eq_iInf
theorem measure_iInter_eq_iInf' {α ι : Type*} [MeasurableSpace α] {μ : Measure α}
[Countable ι] [Preorder ι] [IsDirected ι (· ≤ ·)]
{f : ι → Set α} (h : ∀ i, MeasurableSet (f i)) (hfin : ∃ i, μ (f i) ≠ ∞) :
μ (⋂ i, f i) = ⨅ i, μ (⋂ j ≤ i, f j) := by
let s := fun i ↦ ⋂ j ≤ i, f j
have iInter_eq : ⋂ i, f i = ⋂ i, s i := by
ext x; simp [s]; constructor
· exact fun h _ j _ ↦ h j
· intro h i
rcases directed_of (· ≤ ·) i i with ⟨j, rij, -⟩
exact h j i rij
have ms : ∀ i, MeasurableSet (s i) :=
fun i ↦ MeasurableSet.biInter (countable_univ.mono <| subset_univ _) fun i _ ↦ h i
have hd : Directed (· ⊇ ·) s := by
intro i j
rcases directed_of (· ≤ ·) i j with ⟨k, rik, rjk⟩
exact ⟨k, biInter_subset_biInter_left fun j rji ↦ le_trans rji rik,
biInter_subset_biInter_left fun i rij ↦ le_trans rij rjk⟩
have hfin' : ∃ i, μ (s i) ≠ ∞ := by
rcases hfin with ⟨i, hi⟩
rcases directed_of (· ≤ ·) i i with ⟨j, rij, -⟩
exact ⟨j, ne_top_of_le_ne_top hi <| measure_mono <| biInter_subset_of_mem rij⟩
exact iInter_eq ▸ measure_iInter_eq_iInf ms hd hfin'
theorem tendsto_measure_iUnion [Preorder ι] [IsDirected ι (· ≤ ·)] [Countable ι]
{s : ι → Set α} (hm : Monotone s) : Tendsto (μ ∘ s) atTop (𝓝 (μ (⋃ n, s n))) := by
rw [measure_iUnion_eq_iSup hm.directed_le]
exact tendsto_atTop_iSup fun n m hnm => measure_mono <| hm hnm
#align measure_theory.tendsto_measure_Union MeasureTheory.tendsto_measure_iUnion
theorem tendsto_measure_iUnion' {α ι : Type*} [MeasurableSpace α] {μ : Measure α} [Countable ι]
[Preorder ι] [IsDirected ι (· ≤ ·)] {f : ι → Set α} :
Tendsto (fun i ↦ μ (Accumulate f i)) atTop (𝓝 (μ (⋃ i, f i))) := by
rw [measure_iUnion_eq_iSup']
exact tendsto_atTop_iSup fun i j hij ↦ by gcongr
| Mathlib/MeasureTheory/Measure/MeasureSpace.lean | 591 | 595 | theorem tendsto_measure_iInter [Countable ι] [Preorder ι] [IsDirected ι (· ≤ ·)] {s : ι → Set α}
(hs : ∀ n, MeasurableSet (s n)) (hm : Antitone s) (hf : ∃ i, μ (s i) ≠ ∞) :
Tendsto (μ ∘ s) atTop (𝓝 (μ (⋂ n, s n))) := by |
rw [measure_iInter_eq_iInf hs hm.directed_ge hf]
exact tendsto_atTop_iInf fun n m hnm => measure_mono <| hm hnm
|
import Mathlib.Data.Bool.Basic
import Mathlib.Data.Option.Defs
import Mathlib.Data.Prod.Basic
import Mathlib.Data.Sigma.Basic
import Mathlib.Data.Subtype
import Mathlib.Data.Sum.Basic
import Mathlib.Init.Data.Sigma.Basic
import Mathlib.Logic.Equiv.Defs
import Mathlib.Logic.Function.Conjugate
import Mathlib.Tactic.Lift
import Mathlib.Tactic.Convert
import Mathlib.Tactic.Contrapose
import Mathlib.Tactic.GeneralizeProofs
import Mathlib.Tactic.SimpRw
#align_import logic.equiv.basic from "leanprover-community/mathlib"@"cd391184c85986113f8c00844cfe6dda1d34be3d"
set_option autoImplicit true
universe u
open Function
namespace Equiv
@[simps apply symm_apply]
def pprodEquivProd : PProd α β ≃ α × β where
toFun x := (x.1, x.2)
invFun x := ⟨x.1, x.2⟩
left_inv := fun _ => rfl
right_inv := fun _ => rfl
#align equiv.pprod_equiv_prod Equiv.pprodEquivProd
#align equiv.pprod_equiv_prod_apply Equiv.pprodEquivProd_apply
#align equiv.pprod_equiv_prod_symm_apply Equiv.pprodEquivProd_symm_apply
-- Porting note: in Lean 3 this had `@[congr]`
@[simps apply]
def pprodCongr (e₁ : α ≃ β) (e₂ : γ ≃ δ) : PProd α γ ≃ PProd β δ where
toFun x := ⟨e₁ x.1, e₂ x.2⟩
invFun x := ⟨e₁.symm x.1, e₂.symm x.2⟩
left_inv := fun ⟨x, y⟩ => by simp
right_inv := fun ⟨x, y⟩ => by simp
#align equiv.pprod_congr Equiv.pprodCongr
#align equiv.pprod_congr_apply Equiv.pprodCongr_apply
@[simps! apply symm_apply]
def pprodProd (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) :
PProd α₁ β₁ ≃ α₂ × β₂ :=
(ea.pprodCongr eb).trans pprodEquivProd
#align equiv.pprod_prod Equiv.pprodProd
#align equiv.pprod_prod_apply Equiv.pprodProd_apply
#align equiv.pprod_prod_symm_apply Equiv.pprodProd_symm_apply
@[simps! apply symm_apply]
def prodPProd (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) :
α₁ × β₁ ≃ PProd α₂ β₂ :=
(ea.symm.pprodProd eb.symm).symm
#align equiv.prod_pprod Equiv.prodPProd
#align equiv.prod_pprod_symm_apply Equiv.prodPProd_symm_apply
#align equiv.prod_pprod_apply Equiv.prodPProd_apply
@[simps! apply symm_apply]
def pprodEquivProdPLift : PProd α β ≃ PLift α × PLift β :=
Equiv.plift.symm.pprodProd Equiv.plift.symm
#align equiv.pprod_equiv_prod_plift Equiv.pprodEquivProdPLift
#align equiv.pprod_equiv_prod_plift_symm_apply Equiv.pprodEquivProdPLift_symm_apply
#align equiv.pprod_equiv_prod_plift_apply Equiv.pprodEquivProdPLift_apply
-- Porting note: in Lean 3 there was also a @[congr] tag
@[simps (config := .asFn) apply]
def prodCongr (e₁ : α₁ ≃ α₂) (e₂ : β₁ ≃ β₂) : α₁ × β₁ ≃ α₂ × β₂ :=
⟨Prod.map e₁ e₂, Prod.map e₁.symm e₂.symm, fun ⟨a, b⟩ => by simp, fun ⟨a, b⟩ => by simp⟩
#align equiv.prod_congr Equiv.prodCongr
#align equiv.prod_congr_apply Equiv.prodCongr_apply
@[simp]
theorem prodCongr_symm (e₁ : α₁ ≃ α₂) (e₂ : β₁ ≃ β₂) :
(prodCongr e₁ e₂).symm = prodCongr e₁.symm e₂.symm :=
rfl
#align equiv.prod_congr_symm Equiv.prodCongr_symm
def prodComm (α β) : α × β ≃ β × α :=
⟨Prod.swap, Prod.swap, Prod.swap_swap, Prod.swap_swap⟩
#align equiv.prod_comm Equiv.prodComm
@[simp]
theorem coe_prodComm (α β) : (⇑(prodComm α β) : α × β → β × α) = Prod.swap :=
rfl
#align equiv.coe_prod_comm Equiv.coe_prodComm
@[simp]
theorem prodComm_apply (x : α × β) : prodComm α β x = x.swap :=
rfl
#align equiv.prod_comm_apply Equiv.prodComm_apply
@[simp]
theorem prodComm_symm (α β) : (prodComm α β).symm = prodComm β α :=
rfl
#align equiv.prod_comm_symm Equiv.prodComm_symm
@[simps]
def prodAssoc (α β γ) : (α × β) × γ ≃ α × β × γ :=
⟨fun p => (p.1.1, p.1.2, p.2), fun p => ((p.1, p.2.1), p.2.2), fun ⟨⟨_, _⟩, _⟩ => rfl,
fun ⟨_, ⟨_, _⟩⟩ => rfl⟩
#align equiv.prod_assoc Equiv.prodAssoc
#align equiv.prod_assoc_symm_apply Equiv.prodAssoc_symm_apply
#align equiv.prod_assoc_apply Equiv.prodAssoc_apply
@[simps apply]
def prodProdProdComm (α β γ δ : Type*) : (α × β) × γ × δ ≃ (α × γ) × β × δ where
toFun abcd := ((abcd.1.1, abcd.2.1), (abcd.1.2, abcd.2.2))
invFun acbd := ((acbd.1.1, acbd.2.1), (acbd.1.2, acbd.2.2))
left_inv := fun ⟨⟨_a, _b⟩, ⟨_c, _d⟩⟩ => rfl
right_inv := fun ⟨⟨_a, _c⟩, ⟨_b, _d⟩⟩ => rfl
#align equiv.prod_prod_prod_comm Equiv.prodProdProdComm
@[simp]
theorem prodProdProdComm_symm (α β γ δ : Type*) :
(prodProdProdComm α β γ δ).symm = prodProdProdComm α γ β δ :=
rfl
#align equiv.prod_prod_prod_comm_symm Equiv.prodProdProdComm_symm
@[simps (config := .asFn)]
def curry (α β γ) : (α × β → γ) ≃ (α → β → γ) where
toFun := Function.curry
invFun := uncurry
left_inv := uncurry_curry
right_inv := curry_uncurry
#align equiv.curry Equiv.curry
#align equiv.curry_symm_apply Equiv.curry_symm_apply
#align equiv.curry_apply Equiv.curry_apply
section
@[simps]
def prodPUnit (α) : α × PUnit ≃ α :=
⟨fun p => p.1, fun a => (a, PUnit.unit), fun ⟨_, PUnit.unit⟩ => rfl, fun _ => rfl⟩
#align equiv.prod_punit Equiv.prodPUnit
#align equiv.prod_punit_apply Equiv.prodPUnit_apply
#align equiv.prod_punit_symm_apply Equiv.prodPUnit_symm_apply
@[simps!]
def punitProd (α) : PUnit × α ≃ α :=
calc
PUnit × α ≃ α × PUnit := prodComm _ _
_ ≃ α := prodPUnit _
#align equiv.punit_prod Equiv.punitProd
#align equiv.punit_prod_symm_apply Equiv.punitProd_symm_apply
#align equiv.punit_prod_apply Equiv.punitProd_apply
@[simps]
def sigmaPUnit (α) : (_ : α) × PUnit ≃ α :=
⟨fun p => p.1, fun a => ⟨a, PUnit.unit⟩, fun ⟨_, PUnit.unit⟩ => rfl, fun _ => rfl⟩
def prodUnique (α β) [Unique β] : α × β ≃ α :=
((Equiv.refl α).prodCongr <| equivPUnit.{_,1} β).trans <| prodPUnit α
#align equiv.prod_unique Equiv.prodUnique
@[simp]
theorem coe_prodUnique [Unique β] : (⇑(prodUnique α β) : α × β → α) = Prod.fst :=
rfl
#align equiv.coe_prod_unique Equiv.coe_prodUnique
theorem prodUnique_apply [Unique β] (x : α × β) : prodUnique α β x = x.1 :=
rfl
#align equiv.prod_unique_apply Equiv.prodUnique_apply
@[simp]
theorem prodUnique_symm_apply [Unique β] (x : α) :
(prodUnique α β).symm x = (x, default) :=
rfl
#align equiv.prod_unique_symm_apply Equiv.prodUnique_symm_apply
def uniqueProd (α β) [Unique β] : β × α ≃ α :=
((equivPUnit.{_,1} β).prodCongr <| Equiv.refl α).trans <| punitProd α
#align equiv.unique_prod Equiv.uniqueProd
@[simp]
theorem coe_uniqueProd [Unique β] : (⇑(uniqueProd α β) : β × α → α) = Prod.snd :=
rfl
#align equiv.coe_unique_prod Equiv.coe_uniqueProd
theorem uniqueProd_apply [Unique β] (x : β × α) : uniqueProd α β x = x.2 :=
rfl
#align equiv.unique_prod_apply Equiv.uniqueProd_apply
@[simp]
theorem uniqueProd_symm_apply [Unique β] (x : α) :
(uniqueProd α β).symm x = (default, x) :=
rfl
#align equiv.unique_prod_symm_apply Equiv.uniqueProd_symm_apply
def sigmaUnique (α) (β : α → Type*) [∀ a, Unique (β a)] : (a : α) × (β a) ≃ α :=
(Equiv.sigmaCongrRight fun a ↦ equivPUnit.{_,1} (β a)).trans <| sigmaPUnit α
@[simp]
theorem coe_sigmaUnique {β : α → Type*} [∀ a, Unique (β a)] :
(⇑(sigmaUnique α β) : (a : α) × (β a) → α) = Sigma.fst :=
rfl
theorem sigmaUnique_apply {β : α → Type*} [∀ a, Unique (β a)] (x : (a : α) × β a) :
sigmaUnique α β x = x.1 :=
rfl
@[simp]
theorem sigmaUnique_symm_apply {β : α → Type*} [∀ a, Unique (β a)] (x : α) :
(sigmaUnique α β).symm x = ⟨x, default⟩ :=
rfl
def prodEmpty (α) : α × Empty ≃ Empty :=
equivEmpty _
#align equiv.prod_empty Equiv.prodEmpty
def emptyProd (α) : Empty × α ≃ Empty :=
equivEmpty _
#align equiv.empty_prod Equiv.emptyProd
def prodPEmpty (α) : α × PEmpty ≃ PEmpty :=
equivPEmpty _
#align equiv.prod_pempty Equiv.prodPEmpty
def pemptyProd (α) : PEmpty × α ≃ PEmpty :=
equivPEmpty _
#align equiv.pempty_prod Equiv.pemptyProd
end
section
open Sum
def psumEquivSum (α β) : PSum α β ≃ Sum α β where
toFun s := PSum.casesOn s inl inr
invFun := Sum.elim PSum.inl PSum.inr
left_inv s := by cases s <;> rfl
right_inv s := by cases s <;> rfl
#align equiv.psum_equiv_sum Equiv.psumEquivSum
@[simps apply]
def sumCongr (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) : Sum α₁ β₁ ≃ Sum α₂ β₂ :=
⟨Sum.map ea eb, Sum.map ea.symm eb.symm, fun x => by simp, fun x => by simp⟩
#align equiv.sum_congr Equiv.sumCongr
#align equiv.sum_congr_apply Equiv.sumCongr_apply
def psumCongr (e₁ : α ≃ β) (e₂ : γ ≃ δ) : PSum α γ ≃ PSum β δ where
toFun x := PSum.casesOn x (PSum.inl ∘ e₁) (PSum.inr ∘ e₂)
invFun x := PSum.casesOn x (PSum.inl ∘ e₁.symm) (PSum.inr ∘ e₂.symm)
left_inv := by rintro (x | x) <;> simp
right_inv := by rintro (x | x) <;> simp
#align equiv.psum_congr Equiv.psumCongr
def psumSum (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) :
PSum α₁ β₁ ≃ Sum α₂ β₂ :=
(ea.psumCongr eb).trans (psumEquivSum _ _)
#align equiv.psum_sum Equiv.psumSum
def sumPSum (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) :
Sum α₁ β₁ ≃ PSum α₂ β₂ :=
(ea.symm.psumSum eb.symm).symm
#align equiv.sum_psum Equiv.sumPSum
@[simp]
| Mathlib/Logic/Equiv/Basic.lean | 324 | 327 | theorem sumCongr_trans (e : α₁ ≃ β₁) (f : α₂ ≃ β₂) (g : β₁ ≃ γ₁) (h : β₂ ≃ γ₂) :
(Equiv.sumCongr e f).trans (Equiv.sumCongr g h) = Equiv.sumCongr (e.trans g) (f.trans h) := by |
ext i
cases i <;> rfl
|
import Mathlib.Topology.Separation
import Mathlib.Topology.UniformSpace.Basic
import Mathlib.Topology.UniformSpace.Cauchy
#align_import topology.uniform_space.uniform_convergence from "leanprover-community/mathlib"@"2705404e701abc6b3127da906f40bae062a169c9"
noncomputable section
open Topology Uniformity Filter Set
universe u v w x
variable {α : Type u} {β : Type v} {γ : Type w} {ι : Type x} [UniformSpace β]
variable {F : ι → α → β} {f : α → β} {s s' : Set α} {x : α} {p : Filter ι} {p' : Filter α}
{g : ι → α}
def TendstoUniformlyOnFilter (F : ι → α → β) (f : α → β) (p : Filter ι) (p' : Filter α) :=
∀ u ∈ 𝓤 β, ∀ᶠ n : ι × α in p ×ˢ p', (f n.snd, F n.fst n.snd) ∈ u
#align tendsto_uniformly_on_filter TendstoUniformlyOnFilter
theorem tendstoUniformlyOnFilter_iff_tendsto :
TendstoUniformlyOnFilter F f p p' ↔
Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ p') (𝓤 β) :=
Iff.rfl
#align tendsto_uniformly_on_filter_iff_tendsto tendstoUniformlyOnFilter_iff_tendsto
def TendstoUniformlyOn (F : ι → α → β) (f : α → β) (p : Filter ι) (s : Set α) :=
∀ u ∈ 𝓤 β, ∀ᶠ n in p, ∀ x : α, x ∈ s → (f x, F n x) ∈ u
#align tendsto_uniformly_on TendstoUniformlyOn
theorem tendstoUniformlyOn_iff_tendstoUniformlyOnFilter :
TendstoUniformlyOn F f p s ↔ TendstoUniformlyOnFilter F f p (𝓟 s) := by
simp only [TendstoUniformlyOn, TendstoUniformlyOnFilter]
apply forall₂_congr
simp_rw [eventually_prod_principal_iff]
simp
#align tendsto_uniformly_on_iff_tendsto_uniformly_on_filter tendstoUniformlyOn_iff_tendstoUniformlyOnFilter
alias ⟨TendstoUniformlyOn.tendstoUniformlyOnFilter, TendstoUniformlyOnFilter.tendstoUniformlyOn⟩ :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter
#align tendsto_uniformly_on.tendsto_uniformly_on_filter TendstoUniformlyOn.tendstoUniformlyOnFilter
#align tendsto_uniformly_on_filter.tendsto_uniformly_on TendstoUniformlyOnFilter.tendstoUniformlyOn
theorem tendstoUniformlyOn_iff_tendsto {F : ι → α → β} {f : α → β} {p : Filter ι} {s : Set α} :
TendstoUniformlyOn F f p s ↔
Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ 𝓟 s) (𝓤 β) := by
simp [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter, tendstoUniformlyOnFilter_iff_tendsto]
#align tendsto_uniformly_on_iff_tendsto tendstoUniformlyOn_iff_tendsto
def TendstoUniformly (F : ι → α → β) (f : α → β) (p : Filter ι) :=
∀ u ∈ 𝓤 β, ∀ᶠ n in p, ∀ x : α, (f x, F n x) ∈ u
#align tendsto_uniformly TendstoUniformly
-- Porting note: moved from below
theorem tendstoUniformlyOn_univ : TendstoUniformlyOn F f p univ ↔ TendstoUniformly F f p := by
simp [TendstoUniformlyOn, TendstoUniformly]
#align tendsto_uniformly_on_univ tendstoUniformlyOn_univ
theorem tendstoUniformly_iff_tendstoUniformlyOnFilter :
TendstoUniformly F f p ↔ TendstoUniformlyOnFilter F f p ⊤ := by
rw [← tendstoUniformlyOn_univ, tendstoUniformlyOn_iff_tendstoUniformlyOnFilter, principal_univ]
#align tendsto_uniformly_iff_tendsto_uniformly_on_filter tendstoUniformly_iff_tendstoUniformlyOnFilter
theorem TendstoUniformly.tendstoUniformlyOnFilter (h : TendstoUniformly F f p) :
TendstoUniformlyOnFilter F f p ⊤ := by rwa [← tendstoUniformly_iff_tendstoUniformlyOnFilter]
#align tendsto_uniformly.tendsto_uniformly_on_filter TendstoUniformly.tendstoUniformlyOnFilter
theorem tendstoUniformlyOn_iff_tendstoUniformly_comp_coe :
TendstoUniformlyOn F f p s ↔ TendstoUniformly (fun i (x : s) => F i x) (f ∘ (↑)) p :=
forall₂_congr fun u _ => by simp
#align tendsto_uniformly_on_iff_tendsto_uniformly_comp_coe tendstoUniformlyOn_iff_tendstoUniformly_comp_coe
theorem tendstoUniformly_iff_tendsto {F : ι → α → β} {f : α → β} {p : Filter ι} :
TendstoUniformly F f p ↔ Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ ⊤) (𝓤 β) := by
simp [tendstoUniformly_iff_tendstoUniformlyOnFilter, tendstoUniformlyOnFilter_iff_tendsto]
#align tendsto_uniformly_iff_tendsto tendstoUniformly_iff_tendsto
theorem TendstoUniformlyOnFilter.tendsto_at (h : TendstoUniformlyOnFilter F f p p')
(hx : 𝓟 {x} ≤ p') : Tendsto (fun n => F n x) p <| 𝓝 (f x) := by
refine Uniform.tendsto_nhds_right.mpr fun u hu => mem_map.mpr ?_
filter_upwards [(h u hu).curry]
intro i h
simpa using h.filter_mono hx
#align tendsto_uniformly_on_filter.tendsto_at TendstoUniformlyOnFilter.tendsto_at
theorem TendstoUniformlyOn.tendsto_at (h : TendstoUniformlyOn F f p s) {x : α} (hx : x ∈ s) :
Tendsto (fun n => F n x) p <| 𝓝 (f x) :=
h.tendstoUniformlyOnFilter.tendsto_at
(le_principal_iff.mpr <| mem_principal.mpr <| singleton_subset_iff.mpr <| hx)
#align tendsto_uniformly_on.tendsto_at TendstoUniformlyOn.tendsto_at
theorem TendstoUniformly.tendsto_at (h : TendstoUniformly F f p) (x : α) :
Tendsto (fun n => F n x) p <| 𝓝 (f x) :=
h.tendstoUniformlyOnFilter.tendsto_at le_top
#align tendsto_uniformly.tendsto_at TendstoUniformly.tendsto_at
-- Porting note: tendstoUniformlyOn_univ moved up
theorem TendstoUniformlyOnFilter.mono_left {p'' : Filter ι} (h : TendstoUniformlyOnFilter F f p p')
(hp : p'' ≤ p) : TendstoUniformlyOnFilter F f p'' p' := fun u hu =>
(h u hu).filter_mono (p'.prod_mono_left hp)
#align tendsto_uniformly_on_filter.mono_left TendstoUniformlyOnFilter.mono_left
theorem TendstoUniformlyOnFilter.mono_right {p'' : Filter α} (h : TendstoUniformlyOnFilter F f p p')
(hp : p'' ≤ p') : TendstoUniformlyOnFilter F f p p'' := fun u hu =>
(h u hu).filter_mono (p.prod_mono_right hp)
#align tendsto_uniformly_on_filter.mono_right TendstoUniformlyOnFilter.mono_right
theorem TendstoUniformlyOn.mono {s' : Set α} (h : TendstoUniformlyOn F f p s) (h' : s' ⊆ s) :
TendstoUniformlyOn F f p s' :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr
(h.tendstoUniformlyOnFilter.mono_right (le_principal_iff.mpr <| mem_principal.mpr h'))
#align tendsto_uniformly_on.mono TendstoUniformlyOn.mono
theorem TendstoUniformlyOnFilter.congr {F' : ι → α → β} (hf : TendstoUniformlyOnFilter F f p p')
(hff' : ∀ᶠ n : ι × α in p ×ˢ p', F n.fst n.snd = F' n.fst n.snd) :
TendstoUniformlyOnFilter F' f p p' := by
refine fun u hu => ((hf u hu).and hff').mono fun n h => ?_
rw [← h.right]
exact h.left
#align tendsto_uniformly_on_filter.congr TendstoUniformlyOnFilter.congr
theorem TendstoUniformlyOn.congr {F' : ι → α → β} (hf : TendstoUniformlyOn F f p s)
(hff' : ∀ᶠ n in p, Set.EqOn (F n) (F' n) s) : TendstoUniformlyOn F' f p s := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at hf ⊢
refine hf.congr ?_
rw [eventually_iff] at hff' ⊢
simp only [Set.EqOn] at hff'
simp only [mem_prod_principal, hff', mem_setOf_eq]
#align tendsto_uniformly_on.congr TendstoUniformlyOn.congr
theorem TendstoUniformlyOn.congr_right {g : α → β} (hf : TendstoUniformlyOn F f p s)
(hfg : EqOn f g s) : TendstoUniformlyOn F g p s := fun u hu => by
filter_upwards [hf u hu] with i hi a ha using hfg ha ▸ hi a ha
#align tendsto_uniformly_on.congr_right TendstoUniformlyOn.congr_right
protected theorem TendstoUniformly.tendstoUniformlyOn (h : TendstoUniformly F f p) :
TendstoUniformlyOn F f p s :=
(tendstoUniformlyOn_univ.2 h).mono (subset_univ s)
#align tendsto_uniformly.tendsto_uniformly_on TendstoUniformly.tendstoUniformlyOn
theorem TendstoUniformlyOnFilter.comp (h : TendstoUniformlyOnFilter F f p p') (g : γ → α) :
TendstoUniformlyOnFilter (fun n => F n ∘ g) (f ∘ g) p (p'.comap g) := by
rw [tendstoUniformlyOnFilter_iff_tendsto] at h ⊢
exact h.comp (tendsto_id.prod_map tendsto_comap)
#align tendsto_uniformly_on_filter.comp TendstoUniformlyOnFilter.comp
theorem TendstoUniformlyOn.comp (h : TendstoUniformlyOn F f p s) (g : γ → α) :
TendstoUniformlyOn (fun n => F n ∘ g) (f ∘ g) p (g ⁻¹' s) := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at h ⊢
simpa [TendstoUniformlyOn, comap_principal] using TendstoUniformlyOnFilter.comp h g
#align tendsto_uniformly_on.comp TendstoUniformlyOn.comp
theorem TendstoUniformly.comp (h : TendstoUniformly F f p) (g : γ → α) :
TendstoUniformly (fun n => F n ∘ g) (f ∘ g) p := by
rw [tendstoUniformly_iff_tendstoUniformlyOnFilter] at h ⊢
simpa [principal_univ, comap_principal] using h.comp g
#align tendsto_uniformly.comp TendstoUniformly.comp
theorem UniformContinuous.comp_tendstoUniformlyOnFilter [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformlyOnFilter F f p p') :
TendstoUniformlyOnFilter (fun i => g ∘ F i) (g ∘ f) p p' := fun _u hu => h _ (hg hu)
#align uniform_continuous.comp_tendsto_uniformly_on_filter UniformContinuous.comp_tendstoUniformlyOnFilter
theorem UniformContinuous.comp_tendstoUniformlyOn [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformlyOn F f p s) :
TendstoUniformlyOn (fun i => g ∘ F i) (g ∘ f) p s := fun _u hu => h _ (hg hu)
#align uniform_continuous.comp_tendsto_uniformly_on UniformContinuous.comp_tendstoUniformlyOn
theorem UniformContinuous.comp_tendstoUniformly [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformly F f p) :
TendstoUniformly (fun i => g ∘ F i) (g ∘ f) p := fun _u hu => h _ (hg hu)
#align uniform_continuous.comp_tendsto_uniformly UniformContinuous.comp_tendstoUniformly
theorem TendstoUniformlyOnFilter.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {q : Filter ι'} {q' : Filter α'} (h : TendstoUniformlyOnFilter F f p p')
(h' : TendstoUniformlyOnFilter F' f' q q') :
TendstoUniformlyOnFilter (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f')
(p ×ˢ q) (p' ×ˢ q') := by
rw [tendstoUniformlyOnFilter_iff_tendsto] at h h' ⊢
rw [uniformity_prod_eq_comap_prod, tendsto_comap_iff, ← map_swap4_prod, tendsto_map'_iff]
convert h.prod_map h' -- seems to be faster than `exact` here
#align tendsto_uniformly_on_filter.prod_map TendstoUniformlyOnFilter.prod_map
theorem TendstoUniformlyOn.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {p' : Filter ι'} {s' : Set α'} (h : TendstoUniformlyOn F f p s)
(h' : TendstoUniformlyOn F' f' p' s') :
TendstoUniformlyOn (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f') (p ×ˢ p')
(s ×ˢ s') := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at h h' ⊢
simpa only [prod_principal_principal] using h.prod_map h'
#align tendsto_uniformly_on.prod_map TendstoUniformlyOn.prod_map
theorem TendstoUniformly.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {p' : Filter ι'} (h : TendstoUniformly F f p) (h' : TendstoUniformly F' f' p') :
TendstoUniformly (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f') (p ×ˢ p') := by
rw [← tendstoUniformlyOn_univ, ← univ_prod_univ] at *
exact h.prod_map h'
#align tendsto_uniformly.prod_map TendstoUniformly.prod_map
theorem TendstoUniformlyOnFilter.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'}
{f' : α → β'} {q : Filter ι'} (h : TendstoUniformlyOnFilter F f p p')
(h' : TendstoUniformlyOnFilter F' f' q p') :
TendstoUniformlyOnFilter (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p ×ˢ q) p' :=
fun u hu => ((h.prod_map h') u hu).diag_of_prod_right
#align tendsto_uniformly_on_filter.prod TendstoUniformlyOnFilter.prod
theorem TendstoUniformlyOn.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'} {f' : α → β'}
{p' : Filter ι'} (h : TendstoUniformlyOn F f p s) (h' : TendstoUniformlyOn F' f' p' s) :
TendstoUniformlyOn (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p.prod p') s :=
(congr_arg _ s.inter_self).mp ((h.prod_map h').comp fun a => (a, a))
#align tendsto_uniformly_on.prod TendstoUniformlyOn.prod
theorem TendstoUniformly.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'} {f' : α → β'}
{p' : Filter ι'} (h : TendstoUniformly F f p) (h' : TendstoUniformly F' f' p') :
TendstoUniformly (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p ×ˢ p') :=
(h.prod_map h').comp fun a => (a, a)
#align tendsto_uniformly.prod TendstoUniformly.prod
theorem tendsto_prod_filter_iff {c : β} :
Tendsto (↿F) (p ×ˢ p') (𝓝 c) ↔ TendstoUniformlyOnFilter F (fun _ => c) p p' := by
simp_rw [nhds_eq_comap_uniformity, tendsto_comap_iff]
rfl
#align tendsto_prod_filter_iff tendsto_prod_filter_iff
theorem tendsto_prod_principal_iff {c : β} :
Tendsto (↿F) (p ×ˢ 𝓟 s) (𝓝 c) ↔ TendstoUniformlyOn F (fun _ => c) p s := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter]
exact tendsto_prod_filter_iff
#align tendsto_prod_principal_iff tendsto_prod_principal_iff
theorem tendsto_prod_top_iff {c : β} :
Tendsto (↿F) (p ×ˢ ⊤) (𝓝 c) ↔ TendstoUniformly F (fun _ => c) p := by
rw [tendstoUniformly_iff_tendstoUniformlyOnFilter]
exact tendsto_prod_filter_iff
#align tendsto_prod_top_iff tendsto_prod_top_iff
theorem tendstoUniformlyOn_empty : TendstoUniformlyOn F f p ∅ := fun u _ => by simp
#align tendsto_uniformly_on_empty tendstoUniformlyOn_empty
theorem tendstoUniformlyOn_singleton_iff_tendsto :
TendstoUniformlyOn F f p {x} ↔ Tendsto (fun n : ι => F n x) p (𝓝 (f x)) := by
simp_rw [tendstoUniformlyOn_iff_tendsto, Uniform.tendsto_nhds_right, tendsto_def]
exact forall₂_congr fun u _ => by simp [mem_prod_principal, preimage]
#align tendsto_uniformly_on_singleton_iff_tendsto tendstoUniformlyOn_singleton_iff_tendsto
theorem Filter.Tendsto.tendstoUniformlyOnFilter_const {g : ι → β} {b : β} (hg : Tendsto g p (𝓝 b))
(p' : Filter α) :
TendstoUniformlyOnFilter (fun n : ι => fun _ : α => g n) (fun _ : α => b) p p' := by
simpa only [nhds_eq_comap_uniformity, tendsto_comap_iff] using hg.comp (tendsto_fst (g := p'))
#align filter.tendsto.tendsto_uniformly_on_filter_const Filter.Tendsto.tendstoUniformlyOnFilter_const
theorem Filter.Tendsto.tendstoUniformlyOn_const {g : ι → β} {b : β} (hg : Tendsto g p (𝓝 b))
(s : Set α) : TendstoUniformlyOn (fun n : ι => fun _ : α => g n) (fun _ : α => b) p s :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr (hg.tendstoUniformlyOnFilter_const (𝓟 s))
#align filter.tendsto.tendsto_uniformly_on_const Filter.Tendsto.tendstoUniformlyOn_const
-- Porting note (#10756): new lemma
theorem UniformContinuousOn.tendstoUniformlyOn [UniformSpace α] [UniformSpace γ] {x : α} {U : Set α}
{V : Set β} {F : α → β → γ} (hF : UniformContinuousOn (↿F) (U ×ˢ V)) (hU : x ∈ U) :
TendstoUniformlyOn F (F x) (𝓝[U] x) V := by
set φ := fun q : α × β => ((x, q.2), q)
rw [tendstoUniformlyOn_iff_tendsto]
change Tendsto (Prod.map (↿F) ↿F ∘ φ) (𝓝[U] x ×ˢ 𝓟 V) (𝓤 γ)
simp only [nhdsWithin, SProd.sprod, Filter.prod, comap_inf, inf_assoc, comap_principal,
inf_principal]
refine hF.comp (Tendsto.inf ?_ <| tendsto_principal_principal.2 fun x hx => ⟨⟨hU, hx.2⟩, hx⟩)
simp only [uniformity_prod_eq_comap_prod, tendsto_comap_iff, (· ∘ ·),
nhds_eq_comap_uniformity, comap_comap]
exact tendsto_comap.prod_mk (tendsto_diag_uniformity _ _)
theorem UniformContinuousOn.tendstoUniformly [UniformSpace α] [UniformSpace γ] {x : α} {U : Set α}
(hU : U ∈ 𝓝 x) {F : α → β → γ} (hF : UniformContinuousOn (↿F) (U ×ˢ (univ : Set β))) :
TendstoUniformly F (F x) (𝓝 x) := by
simpa only [tendstoUniformlyOn_univ, nhdsWithin_eq_nhds.2 hU]
using hF.tendstoUniformlyOn (mem_of_mem_nhds hU)
#align uniform_continuous_on.tendsto_uniformly UniformContinuousOn.tendstoUniformly
theorem UniformContinuous₂.tendstoUniformly [UniformSpace α] [UniformSpace γ] {f : α → β → γ}
(h : UniformContinuous₂ f) {x : α} : TendstoUniformly f (f x) (𝓝 x) :=
UniformContinuousOn.tendstoUniformly univ_mem <| by rwa [univ_prod_univ, uniformContinuousOn_univ]
#align uniform_continuous₂.tendsto_uniformly UniformContinuous₂.tendstoUniformly
def UniformCauchySeqOnFilter (F : ι → α → β) (p : Filter ι) (p' : Filter α) : Prop :=
∀ u ∈ 𝓤 β, ∀ᶠ m : (ι × ι) × α in (p ×ˢ p) ×ˢ p', (F m.fst.fst m.snd, F m.fst.snd m.snd) ∈ u
#align uniform_cauchy_seq_on_filter UniformCauchySeqOnFilter
def UniformCauchySeqOn (F : ι → α → β) (p : Filter ι) (s : Set α) : Prop :=
∀ u ∈ 𝓤 β, ∀ᶠ m : ι × ι in p ×ˢ p, ∀ x : α, x ∈ s → (F m.fst x, F m.snd x) ∈ u
#align uniform_cauchy_seq_on UniformCauchySeqOn
theorem uniformCauchySeqOn_iff_uniformCauchySeqOnFilter :
UniformCauchySeqOn F p s ↔ UniformCauchySeqOnFilter F p (𝓟 s) := by
simp only [UniformCauchySeqOn, UniformCauchySeqOnFilter]
refine forall₂_congr fun u hu => ?_
rw [eventually_prod_principal_iff]
#align uniform_cauchy_seq_on_iff_uniform_cauchy_seq_on_filter uniformCauchySeqOn_iff_uniformCauchySeqOnFilter
theorem UniformCauchySeqOn.uniformCauchySeqOnFilter (hF : UniformCauchySeqOn F p s) :
UniformCauchySeqOnFilter F p (𝓟 s) := by rwa [← uniformCauchySeqOn_iff_uniformCauchySeqOnFilter]
#align uniform_cauchy_seq_on.uniform_cauchy_seq_on_filter UniformCauchySeqOn.uniformCauchySeqOnFilter
theorem TendstoUniformlyOnFilter.uniformCauchySeqOnFilter (hF : TendstoUniformlyOnFilter F f p p') :
UniformCauchySeqOnFilter F p p' := by
intro u hu
rcases comp_symm_of_uniformity hu with ⟨t, ht, htsymm, htmem⟩
have := tendsto_swap4_prod.eventually ((hF t ht).prod_mk (hF t ht))
apply this.diag_of_prod_right.mono
simp only [and_imp, Prod.forall]
intro n1 n2 x hl hr
exact Set.mem_of_mem_of_subset (prod_mk_mem_compRel (htsymm hl) hr) htmem
#align tendsto_uniformly_on_filter.uniform_cauchy_seq_on_filter TendstoUniformlyOnFilter.uniformCauchySeqOnFilter
theorem TendstoUniformlyOn.uniformCauchySeqOn (hF : TendstoUniformlyOn F f p s) :
UniformCauchySeqOn F p s :=
uniformCauchySeqOn_iff_uniformCauchySeqOnFilter.mpr
hF.tendstoUniformlyOnFilter.uniformCauchySeqOnFilter
#align tendsto_uniformly_on.uniform_cauchy_seq_on TendstoUniformlyOn.uniformCauchySeqOn
theorem UniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto [NeBot p]
(hF : UniformCauchySeqOnFilter F p p')
(hF' : ∀ᶠ x : α in p', Tendsto (fun n => F n x) p (𝓝 (f x))) :
TendstoUniformlyOnFilter F f p p' := by
-- Proof idea: |f_n(x) - f(x)| ≤ |f_n(x) - f_m(x)| + |f_m(x) - f(x)|. We choose `n`
-- so that |f_n(x) - f_m(x)| is uniformly small across `s` whenever `m ≥ n`. Then for
-- a fixed `x`, we choose `m` sufficiently large such that |f_m(x) - f(x)| is small.
intro u hu
rcases comp_symm_of_uniformity hu with ⟨t, ht, htsymm, htmem⟩
-- We will choose n, x, and m simultaneously. n and x come from hF. m comes from hF'
-- But we need to promote hF' to the full product filter to use it
have hmc : ∀ᶠ x in (p ×ˢ p) ×ˢ p', Tendsto (fun n : ι => F n x.snd) p (𝓝 (f x.snd)) := by
rw [eventually_prod_iff]
exact ⟨fun _ => True, by simp, _, hF', by simp⟩
-- To apply filter operations we'll need to do some order manipulation
rw [Filter.eventually_swap_iff]
have := tendsto_prodAssoc.eventually (tendsto_prod_swap.eventually ((hF t ht).and hmc))
apply this.curry.mono
simp only [Equiv.prodAssoc_apply, eventually_and, eventually_const, Prod.snd_swap, Prod.fst_swap,
and_imp, Prod.forall]
-- Complete the proof
intro x n hx hm'
refine Set.mem_of_mem_of_subset (mem_compRel.mpr ?_) htmem
rw [Uniform.tendsto_nhds_right] at hm'
have := hx.and (hm' ht)
obtain ⟨m, hm⟩ := this.exists
exact ⟨F m x, ⟨hm.2, htsymm hm.1⟩⟩
#align uniform_cauchy_seq_on_filter.tendsto_uniformly_on_filter_of_tendsto UniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto
theorem UniformCauchySeqOn.tendstoUniformlyOn_of_tendsto [NeBot p] (hF : UniformCauchySeqOn F p s)
(hF' : ∀ x : α, x ∈ s → Tendsto (fun n => F n x) p (𝓝 (f x))) : TendstoUniformlyOn F f p s :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr
(hF.uniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto hF')
#align uniform_cauchy_seq_on.tendsto_uniformly_on_of_tendsto UniformCauchySeqOn.tendstoUniformlyOn_of_tendsto
theorem UniformCauchySeqOnFilter.mono_left {p'' : Filter ι} (hf : UniformCauchySeqOnFilter F p p')
(hp : p'' ≤ p) : UniformCauchySeqOnFilter F p'' p' := by
intro u hu
have := (hf u hu).filter_mono (p'.prod_mono_left (Filter.prod_mono hp hp))
exact this.mono (by simp)
#align uniform_cauchy_seq_on_filter.mono_left UniformCauchySeqOnFilter.mono_left
theorem UniformCauchySeqOnFilter.mono_right {p'' : Filter α} (hf : UniformCauchySeqOnFilter F p p')
(hp : p'' ≤ p') : UniformCauchySeqOnFilter F p p'' := fun u hu =>
have := (hf u hu).filter_mono ((p ×ˢ p).prod_mono_right hp)
this.mono (by simp)
#align uniform_cauchy_seq_on_filter.mono_right UniformCauchySeqOnFilter.mono_right
theorem UniformCauchySeqOn.mono {s' : Set α} (hf : UniformCauchySeqOn F p s) (hss' : s' ⊆ s) :
UniformCauchySeqOn F p s' := by
rw [uniformCauchySeqOn_iff_uniformCauchySeqOnFilter] at hf ⊢
exact hf.mono_right (le_principal_iff.mpr <| mem_principal.mpr hss')
#align uniform_cauchy_seq_on.mono UniformCauchySeqOn.mono
theorem UniformCauchySeqOnFilter.comp {γ : Type*} (hf : UniformCauchySeqOnFilter F p p')
(g : γ → α) : UniformCauchySeqOnFilter (fun n => F n ∘ g) p (p'.comap g) := fun u hu => by
obtain ⟨pa, hpa, pb, hpb, hpapb⟩ := eventually_prod_iff.mp (hf u hu)
rw [eventually_prod_iff]
refine ⟨pa, hpa, pb ∘ g, ?_, fun hx _ hy => hpapb hx hy⟩
exact eventually_comap.mpr (hpb.mono fun x hx y hy => by simp only [hx, hy, Function.comp_apply])
#align uniform_cauchy_seq_on_filter.comp UniformCauchySeqOnFilter.comp
theorem UniformCauchySeqOn.comp {γ : Type*} (hf : UniformCauchySeqOn F p s) (g : γ → α) :
UniformCauchySeqOn (fun n => F n ∘ g) p (g ⁻¹' s) := by
rw [uniformCauchySeqOn_iff_uniformCauchySeqOnFilter] at hf ⊢
simpa only [UniformCauchySeqOn, comap_principal] using hf.comp g
#align uniform_cauchy_seq_on.comp UniformCauchySeqOn.comp
theorem UniformContinuous.comp_uniformCauchySeqOn [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (hf : UniformCauchySeqOn F p s) :
UniformCauchySeqOn (fun n => g ∘ F n) p s := fun _u hu => hf _ (hg hu)
#align uniform_continuous.comp_uniform_cauchy_seq_on UniformContinuous.comp_uniformCauchySeqOn
theorem UniformCauchySeqOn.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{p' : Filter ι'} {s' : Set α'} (h : UniformCauchySeqOn F p s)
(h' : UniformCauchySeqOn F' p' s') :
UniformCauchySeqOn (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (p ×ˢ p') (s ×ˢ s') := by
intro u hu
rw [uniformity_prod_eq_prod, mem_map, mem_prod_iff] at hu
obtain ⟨v, hv, w, hw, hvw⟩ := hu
simp_rw [mem_prod, Prod.map_apply, and_imp, Prod.forall]
rw [← Set.image_subset_iff] at hvw
apply (tendsto_swap4_prod.eventually ((h v hv).prod_mk (h' w hw))).mono
intro x hx a b ha hb
exact hvw ⟨_, mk_mem_prod (hx.1 a ha) (hx.2 b hb), rfl⟩
#align uniform_cauchy_seq_on.prod_map UniformCauchySeqOn.prod_map
theorem UniformCauchySeqOn.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'}
{p' : Filter ι'} (h : UniformCauchySeqOn F p s) (h' : UniformCauchySeqOn F' p' s) :
UniformCauchySeqOn (fun (i : ι × ι') a => (F i.fst a, F' i.snd a)) (p ×ˢ p') s :=
(congr_arg _ s.inter_self).mp ((h.prod_map h').comp fun a => (a, a))
#align uniform_cauchy_seq_on.prod UniformCauchySeqOn.prod
theorem UniformCauchySeqOn.prod' {β' : Type*} [UniformSpace β'] {F' : ι → α → β'}
(h : UniformCauchySeqOn F p s) (h' : UniformCauchySeqOn F' p s) :
UniformCauchySeqOn (fun (i : ι) a => (F i a, F' i a)) p s := fun u hu =>
have hh : Tendsto (fun x : ι => (x, x)) p (p ×ˢ p) := tendsto_diag
(hh.prod_map hh).eventually ((h.prod h') u hu)
#align uniform_cauchy_seq_on.prod' UniformCauchySeqOn.prod'
theorem UniformCauchySeqOn.cauchy_map [hp : NeBot p] (hf : UniformCauchySeqOn F p s) (hx : x ∈ s) :
Cauchy (map (fun i => F i x) p) := by
simp only [cauchy_map_iff, hp, true_and_iff]
intro u hu
rw [mem_map]
filter_upwards [hf u hu] with p hp using hp x hx
#align uniform_cauchy_seq_on.cauchy_map UniformCauchySeqOn.cauchy_map
theorem UniformCauchySeqOn.cauchySeq [Nonempty ι] [SemilatticeSup ι]
(hf : UniformCauchySeqOn F atTop s) (hx : x ∈ s) :
CauchySeq fun i ↦ F i x :=
hf.cauchy_map (hp := atTop_neBot) hx
variable [TopologicalSpace α]
def TendstoLocallyUniformlyOn (F : ι → α → β) (f : α → β) (p : Filter ι) (s : Set α) :=
∀ u ∈ 𝓤 β, ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, ∀ᶠ n in p, ∀ y ∈ t, (f y, F n y) ∈ u
#align tendsto_locally_uniformly_on TendstoLocallyUniformlyOn
def TendstoLocallyUniformly (F : ι → α → β) (f : α → β) (p : Filter ι) :=
∀ u ∈ 𝓤 β, ∀ x : α, ∃ t ∈ 𝓝 x, ∀ᶠ n in p, ∀ y ∈ t, (f y, F n y) ∈ u
#align tendsto_locally_uniformly TendstoLocallyUniformly
theorem tendstoLocallyUniformlyOn_univ :
TendstoLocallyUniformlyOn F f p univ ↔ TendstoLocallyUniformly F f p := by
simp [TendstoLocallyUniformlyOn, TendstoLocallyUniformly, nhdsWithin_univ]
#align tendsto_locally_uniformly_on_univ tendstoLocallyUniformlyOn_univ
-- Porting note (#10756): new lemma
theorem tendstoLocallyUniformlyOn_iff_forall_tendsto :
TendstoLocallyUniformlyOn F f p s ↔
∀ x ∈ s, Tendsto (fun y : ι × α => (f y.2, F y.1 y.2)) (p ×ˢ 𝓝[s] x) (𝓤 β) :=
forall₂_swap.trans <| forall₄_congr fun _ _ _ _ => by
rw [mem_map, mem_prod_iff_right]; rfl
nonrec theorem IsOpen.tendstoLocallyUniformlyOn_iff_forall_tendsto (hs : IsOpen s) :
TendstoLocallyUniformlyOn F f p s ↔
∀ x ∈ s, Tendsto (fun y : ι × α => (f y.2, F y.1 y.2)) (p ×ˢ 𝓝 x) (𝓤 β) :=
tendstoLocallyUniformlyOn_iff_forall_tendsto.trans <| forall₂_congr fun x hx => by
rw [hs.nhdsWithin_eq hx]
theorem tendstoLocallyUniformly_iff_forall_tendsto :
TendstoLocallyUniformly F f p ↔
∀ x, Tendsto (fun y : ι × α => (f y.2, F y.1 y.2)) (p ×ˢ 𝓝 x) (𝓤 β) := by
simp [← tendstoLocallyUniformlyOn_univ, isOpen_univ.tendstoLocallyUniformlyOn_iff_forall_tendsto]
#align tendsto_locally_uniformly_iff_forall_tendsto tendstoLocallyUniformly_iff_forall_tendsto
theorem tendstoLocallyUniformlyOn_iff_tendstoLocallyUniformly_comp_coe :
TendstoLocallyUniformlyOn F f p s ↔
TendstoLocallyUniformly (fun i (x : s) => F i x) (f ∘ (↑)) p := by
simp only [tendstoLocallyUniformly_iff_forall_tendsto, Subtype.forall', tendsto_map'_iff,
tendstoLocallyUniformlyOn_iff_forall_tendsto, ← map_nhds_subtype_val, prod_map_right]; rfl
#align tendsto_locally_uniformly_on_iff_tendsto_locally_uniformly_comp_coe tendstoLocallyUniformlyOn_iff_tendstoLocallyUniformly_comp_coe
protected theorem TendstoUniformlyOn.tendstoLocallyUniformlyOn (h : TendstoUniformlyOn F f p s) :
TendstoLocallyUniformlyOn F f p s := fun u hu x _ =>
⟨s, self_mem_nhdsWithin, by simpa using h u hu⟩
#align tendsto_uniformly_on.tendsto_locally_uniformly_on TendstoUniformlyOn.tendstoLocallyUniformlyOn
protected theorem TendstoUniformly.tendstoLocallyUniformly (h : TendstoUniformly F f p) :
TendstoLocallyUniformly F f p := fun u hu x => ⟨univ, univ_mem, by simpa using h u hu⟩
#align tendsto_uniformly.tendsto_locally_uniformly TendstoUniformly.tendstoLocallyUniformly
theorem TendstoLocallyUniformlyOn.mono (h : TendstoLocallyUniformlyOn F f p s) (h' : s' ⊆ s) :
TendstoLocallyUniformlyOn F f p s' := by
intro u hu x hx
rcases h u hu x (h' hx) with ⟨t, ht, H⟩
exact ⟨t, nhdsWithin_mono x h' ht, H.mono fun n => id⟩
#align tendsto_locally_uniformly_on.mono TendstoLocallyUniformlyOn.mono
-- Porting note: generalized from `Type` to `Sort`
theorem tendstoLocallyUniformlyOn_iUnion {ι' : Sort*} {S : ι' → Set α} (hS : ∀ i, IsOpen (S i))
(h : ∀ i, TendstoLocallyUniformlyOn F f p (S i)) :
TendstoLocallyUniformlyOn F f p (⋃ i, S i) :=
(isOpen_iUnion hS).tendstoLocallyUniformlyOn_iff_forall_tendsto.2 fun _x hx =>
let ⟨i, hi⟩ := mem_iUnion.1 hx
(hS i).tendstoLocallyUniformlyOn_iff_forall_tendsto.1 (h i) _ hi
#align tendsto_locally_uniformly_on_Union tendstoLocallyUniformlyOn_iUnion
theorem tendstoLocallyUniformlyOn_biUnion {s : Set γ} {S : γ → Set α} (hS : ∀ i ∈ s, IsOpen (S i))
(h : ∀ i ∈ s, TendstoLocallyUniformlyOn F f p (S i)) :
TendstoLocallyUniformlyOn F f p (⋃ i ∈ s, S i) :=
tendstoLocallyUniformlyOn_iUnion (fun i => isOpen_iUnion (hS i)) fun i =>
tendstoLocallyUniformlyOn_iUnion (hS i) (h i)
#align tendsto_locally_uniformly_on_bUnion tendstoLocallyUniformlyOn_biUnion
theorem tendstoLocallyUniformlyOn_sUnion (S : Set (Set α)) (hS : ∀ s ∈ S, IsOpen s)
(h : ∀ s ∈ S, TendstoLocallyUniformlyOn F f p s) : TendstoLocallyUniformlyOn F f p (⋃₀ S) := by
rw [sUnion_eq_biUnion]
exact tendstoLocallyUniformlyOn_biUnion hS h
#align tendsto_locally_uniformly_on_sUnion tendstoLocallyUniformlyOn_sUnion
theorem TendstoLocallyUniformlyOn.union {s₁ s₂ : Set α} (hs₁ : IsOpen s₁) (hs₂ : IsOpen s₂)
(h₁ : TendstoLocallyUniformlyOn F f p s₁) (h₂ : TendstoLocallyUniformlyOn F f p s₂) :
TendstoLocallyUniformlyOn F f p (s₁ ∪ s₂) := by
rw [← sUnion_pair]
refine tendstoLocallyUniformlyOn_sUnion _ ?_ ?_ <;> simp [*]
#align tendsto_locally_uniformly_on.union TendstoLocallyUniformlyOn.union
-- Porting note: tendstoLocallyUniformlyOn_univ moved up
protected theorem TendstoLocallyUniformly.tendstoLocallyUniformlyOn
(h : TendstoLocallyUniformly F f p) : TendstoLocallyUniformlyOn F f p s :=
(tendstoLocallyUniformlyOn_univ.mpr h).mono (subset_univ _)
#align tendsto_locally_uniformly.tendsto_locally_uniformly_on TendstoLocallyUniformly.tendstoLocallyUniformlyOn
theorem tendstoLocallyUniformly_iff_tendstoUniformly_of_compactSpace [CompactSpace α] :
TendstoLocallyUniformly F f p ↔ TendstoUniformly F f p := by
refine ⟨fun h V hV => ?_, TendstoUniformly.tendstoLocallyUniformly⟩
choose U hU using h V hV
obtain ⟨t, ht⟩ := isCompact_univ.elim_nhds_subcover' (fun k _ => U k) fun k _ => (hU k).1
replace hU := fun x : t => (hU x).2
rw [← eventually_all] at hU
refine hU.mono fun i hi x => ?_
specialize ht (mem_univ x)
simp only [exists_prop, mem_iUnion, SetCoe.exists, exists_and_right, Subtype.coe_mk] at ht
obtain ⟨y, ⟨hy₁, hy₂⟩, hy₃⟩ := ht
exact hi ⟨⟨y, hy₁⟩, hy₂⟩ x hy₃
#align tendsto_locally_uniformly_iff_tendsto_uniformly_of_compact_space tendstoLocallyUniformly_iff_tendstoUniformly_of_compactSpace
theorem tendstoLocallyUniformlyOn_iff_tendstoUniformlyOn_of_compact (hs : IsCompact s) :
TendstoLocallyUniformlyOn F f p s ↔ TendstoUniformlyOn F f p s := by
haveI : CompactSpace s := isCompact_iff_compactSpace.mp hs
refine ⟨fun h => ?_, TendstoUniformlyOn.tendstoLocallyUniformlyOn⟩
rwa [tendstoLocallyUniformlyOn_iff_tendstoLocallyUniformly_comp_coe,
tendstoLocallyUniformly_iff_tendstoUniformly_of_compactSpace, ←
tendstoUniformlyOn_iff_tendstoUniformly_comp_coe] at h
#align tendsto_locally_uniformly_on_iff_tendsto_uniformly_on_of_compact tendstoLocallyUniformlyOn_iff_tendstoUniformlyOn_of_compact
theorem TendstoLocallyUniformlyOn.comp [TopologicalSpace γ] {t : Set γ}
(h : TendstoLocallyUniformlyOn F f p s) (g : γ → α) (hg : MapsTo g t s)
(cg : ContinuousOn g t) : TendstoLocallyUniformlyOn (fun n => F n ∘ g) (f ∘ g) p t := by
intro u hu x hx
rcases h u hu (g x) (hg hx) with ⟨a, ha, H⟩
have : g ⁻¹' a ∈ 𝓝[t] x :=
(cg x hx).preimage_mem_nhdsWithin' (nhdsWithin_mono (g x) hg.image_subset ha)
exact ⟨g ⁻¹' a, this, H.mono fun n hn y hy => hn _ hy⟩
#align tendsto_locally_uniformly_on.comp TendstoLocallyUniformlyOn.comp
theorem TendstoLocallyUniformly.comp [TopologicalSpace γ] (h : TendstoLocallyUniformly F f p)
(g : γ → α) (cg : Continuous g) : TendstoLocallyUniformly (fun n => F n ∘ g) (f ∘ g) p := by
rw [← tendstoLocallyUniformlyOn_univ] at h ⊢
rw [continuous_iff_continuousOn_univ] at cg
exact h.comp _ (mapsTo_univ _ _) cg
#align tendsto_locally_uniformly.comp TendstoLocallyUniformly.comp
theorem tendstoLocallyUniformlyOn_TFAE [LocallyCompactSpace α] (G : ι → α → β) (g : α → β)
(p : Filter ι) (hs : IsOpen s) :
List.TFAE [
TendstoLocallyUniformlyOn G g p s,
∀ K, K ⊆ s → IsCompact K → TendstoUniformlyOn G g p K,
∀ x ∈ s, ∃ v ∈ 𝓝[s] x, TendstoUniformlyOn G g p v] := by
tfae_have 1 → 2
· rintro h K hK1 hK2
exact (tendstoLocallyUniformlyOn_iff_tendstoUniformlyOn_of_compact hK2).mp (h.mono hK1)
tfae_have 2 → 3
· rintro h x hx
obtain ⟨K, ⟨hK1, hK2⟩, hK3⟩ := (compact_basis_nhds x).mem_iff.mp (hs.mem_nhds hx)
exact ⟨K, nhdsWithin_le_nhds hK1, h K hK3 hK2⟩
tfae_have 3 → 1
· rintro h u hu x hx
obtain ⟨v, hv1, hv2⟩ := h x hx
exact ⟨v, hv1, hv2 u hu⟩
tfae_finish
#align tendsto_locally_uniformly_on_tfae tendstoLocallyUniformlyOn_TFAE
theorem tendstoLocallyUniformlyOn_iff_forall_isCompact [LocallyCompactSpace α] (hs : IsOpen s) :
TendstoLocallyUniformlyOn F f p s ↔ ∀ K, K ⊆ s → IsCompact K → TendstoUniformlyOn F f p K :=
(tendstoLocallyUniformlyOn_TFAE F f p hs).out 0 1
#align tendsto_locally_uniformly_on_iff_forall_is_compact tendstoLocallyUniformlyOn_iff_forall_isCompact
lemma tendstoLocallyUniformly_iff_forall_isCompact [LocallyCompactSpace α] :
TendstoLocallyUniformly F f p ↔ ∀ K : Set α, IsCompact K → TendstoUniformlyOn F f p K := by
simp only [← tendstoLocallyUniformlyOn_univ,
tendstoLocallyUniformlyOn_iff_forall_isCompact isOpen_univ, Set.subset_univ, forall_true_left]
theorem tendstoLocallyUniformlyOn_iff_filter :
TendstoLocallyUniformlyOn F f p s ↔ ∀ x ∈ s, TendstoUniformlyOnFilter F f p (𝓝[s] x) := by
simp only [TendstoUniformlyOnFilter, eventually_prod_iff]
constructor
· rintro h x hx u hu
obtain ⟨s, hs1, hs2⟩ := h u hu x hx
exact ⟨_, hs2, _, eventually_of_mem hs1 fun x => id, fun hi y hy => hi y hy⟩
· rintro h u hu x hx
obtain ⟨pa, hpa, pb, hpb, h⟩ := h x hx u hu
exact ⟨pb, hpb, eventually_of_mem hpa fun i hi y hy => h hi hy⟩
#align tendsto_locally_uniformly_on_iff_filter tendstoLocallyUniformlyOn_iff_filter
theorem tendstoLocallyUniformly_iff_filter :
TendstoLocallyUniformly F f p ↔ ∀ x, TendstoUniformlyOnFilter F f p (𝓝 x) := by
simpa [← tendstoLocallyUniformlyOn_univ, ← nhdsWithin_univ] using
@tendstoLocallyUniformlyOn_iff_filter _ _ _ _ F f univ p _
#align tendsto_locally_uniformly_iff_filter tendstoLocallyUniformly_iff_filter
theorem TendstoLocallyUniformlyOn.tendsto_at (hf : TendstoLocallyUniformlyOn F f p s) {a : α}
(ha : a ∈ s) : Tendsto (fun i => F i a) p (𝓝 (f a)) := by
refine ((tendstoLocallyUniformlyOn_iff_filter.mp hf) a ha).tendsto_at ?_
simpa only [Filter.principal_singleton] using pure_le_nhdsWithin ha
#align tendsto_locally_uniformly_on.tendsto_at TendstoLocallyUniformlyOn.tendsto_at
theorem TendstoLocallyUniformlyOn.unique [p.NeBot] [T2Space β] {g : α → β}
(hf : TendstoLocallyUniformlyOn F f p s) (hg : TendstoLocallyUniformlyOn F g p s) :
s.EqOn f g := fun _a ha => tendsto_nhds_unique (hf.tendsto_at ha) (hg.tendsto_at ha)
#align tendsto_locally_uniformly_on.unique TendstoLocallyUniformlyOn.unique
theorem TendstoLocallyUniformlyOn.congr {G : ι → α → β} (hf : TendstoLocallyUniformlyOn F f p s)
(hg : ∀ n, s.EqOn (F n) (G n)) : TendstoLocallyUniformlyOn G f p s := by
rintro u hu x hx
obtain ⟨t, ht, h⟩ := hf u hu x hx
refine ⟨s ∩ t, inter_mem self_mem_nhdsWithin ht, ?_⟩
filter_upwards [h] with i hi y hy using hg i hy.1 ▸ hi y hy.2
#align tendsto_locally_uniformly_on.congr TendstoLocallyUniformlyOn.congr
theorem TendstoLocallyUniformlyOn.congr_right {g : α → β} (hf : TendstoLocallyUniformlyOn F f p s)
(hg : s.EqOn f g) : TendstoLocallyUniformlyOn F g p s := by
rintro u hu x hx
obtain ⟨t, ht, h⟩ := hf u hu x hx
refine ⟨s ∩ t, inter_mem self_mem_nhdsWithin ht, ?_⟩
filter_upwards [h] with i hi y hy using hg hy.1 ▸ hi y hy.2
#align tendsto_locally_uniformly_on.congr_right TendstoLocallyUniformlyOn.congr_right
| Mathlib/Topology/UniformSpace/UniformConvergence.lean | 823 | 837 | theorem continuousWithinAt_of_locally_uniform_approx_of_continuousWithinAt (hx : x ∈ s)
(L : ∀ u ∈ 𝓤 β, ∃ t ∈ 𝓝[s] x, ∃ F : α → β, ContinuousWithinAt F s x ∧ ∀ y ∈ t, (f y, F y) ∈ u) :
ContinuousWithinAt f s x := by |
refine Uniform.continuousWithinAt_iff'_left.2 fun u₀ hu₀ => ?_
obtain ⟨u₁, h₁, u₁₀⟩ : ∃ u ∈ 𝓤 β, u ○ u ⊆ u₀ := comp_mem_uniformity_sets hu₀
obtain ⟨u₂, h₂, hsymm, u₂₁⟩ : ∃ u ∈ 𝓤 β, (∀ {a b}, (a, b) ∈ u → (b, a) ∈ u) ∧ u ○ u ⊆ u₁ :=
comp_symm_of_uniformity h₁
rcases L u₂ h₂ with ⟨t, tx, F, hFc, hF⟩
have A : ∀ᶠ y in 𝓝[s] x, (f y, F y) ∈ u₂ := Eventually.mono tx hF
have B : ∀ᶠ y in 𝓝[s] x, (F y, F x) ∈ u₂ := Uniform.continuousWithinAt_iff'_left.1 hFc h₂
have C : ∀ᶠ y in 𝓝[s] x, (f y, F x) ∈ u₁ :=
(A.and B).mono fun y hy => u₂₁ (prod_mk_mem_compRel hy.1 hy.2)
have : (F x, f x) ∈ u₁ :=
u₂₁ (prod_mk_mem_compRel (refl_mem_uniformity h₂) (hsymm (A.self_of_nhdsWithin hx)))
exact C.mono fun y hy => u₁₀ (prod_mk_mem_compRel hy this)
|
import Mathlib.GroupTheory.GroupAction.BigOperators
import Mathlib.Logic.Equiv.Fin
import Mathlib.Algebra.BigOperators.Pi
import Mathlib.Algebra.Module.Prod
import Mathlib.Algebra.Module.Submodule.Ker
#align_import linear_algebra.pi from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
universe u v w x y z u' v' w' x' y'
variable {R : Type u} {K : Type u'} {M : Type v} {V : Type v'} {M₂ : Type w} {V₂ : Type w'}
variable {M₃ : Type y} {V₃ : Type y'} {M₄ : Type z} {ι : Type x} {ι' : Type x'}
open Function Submodule
namespace LinearMap
universe i
variable [Semiring R] [AddCommMonoid M₂] [Module R M₂] [AddCommMonoid M₃] [Module R M₃]
{φ : ι → Type i} [(i : ι) → AddCommMonoid (φ i)] [(i : ι) → Module R (φ i)]
def pi (f : (i : ι) → M₂ →ₗ[R] φ i) : M₂ →ₗ[R] (i : ι) → φ i :=
{ Pi.addHom fun i => (f i).toAddHom with
toFun := fun c i => f i c
map_smul' := fun _ _ => funext fun i => (f i).map_smul _ _ }
#align linear_map.pi LinearMap.pi
@[simp]
theorem pi_apply (f : (i : ι) → M₂ →ₗ[R] φ i) (c : M₂) (i : ι) : pi f c i = f i c :=
rfl
#align linear_map.pi_apply LinearMap.pi_apply
theorem ker_pi (f : (i : ι) → M₂ →ₗ[R] φ i) : ker (pi f) = ⨅ i : ι, ker (f i) := by
ext c; simp [funext_iff]
#align linear_map.ker_pi LinearMap.ker_pi
theorem pi_eq_zero (f : (i : ι) → M₂ →ₗ[R] φ i) : pi f = 0 ↔ ∀ i, f i = 0 := by
simp only [LinearMap.ext_iff, pi_apply, funext_iff];
exact ⟨fun h a b => h b a, fun h a b => h b a⟩
#align linear_map.pi_eq_zero LinearMap.pi_eq_zero
theorem pi_zero : pi (fun i => 0 : (i : ι) → M₂ →ₗ[R] φ i) = 0 := by ext; rfl
#align linear_map.pi_zero LinearMap.pi_zero
theorem pi_comp (f : (i : ι) → M₂ →ₗ[R] φ i) (g : M₃ →ₗ[R] M₂) :
(pi f).comp g = pi fun i => (f i).comp g :=
rfl
#align linear_map.pi_comp LinearMap.pi_comp
def proj (i : ι) : ((i : ι) → φ i) →ₗ[R] φ i where
toFun := Function.eval i
map_add' _ _ := rfl
map_smul' _ _ := rfl
#align linear_map.proj LinearMap.proj
@[simp]
theorem coe_proj (i : ι) : ⇑(proj i : ((i : ι) → φ i) →ₗ[R] φ i) = Function.eval i :=
rfl
#align linear_map.coe_proj LinearMap.coe_proj
theorem proj_apply (i : ι) (b : (i : ι) → φ i) : (proj i : ((i : ι) → φ i) →ₗ[R] φ i) b = b i :=
rfl
#align linear_map.proj_apply LinearMap.proj_apply
theorem proj_pi (f : (i : ι) → M₂ →ₗ[R] φ i) (i : ι) : (proj i).comp (pi f) = f i :=
ext fun _ => rfl
#align linear_map.proj_pi LinearMap.proj_pi
theorem iInf_ker_proj : (⨅ i, ker (proj i : ((i : ι) → φ i) →ₗ[R] φ i) :
Submodule R ((i : ι) → φ i)) = ⊥ :=
bot_unique <|
SetLike.le_def.2 fun a h => by
simp only [mem_iInf, mem_ker, proj_apply] at h
exact (mem_bot _).2 (funext fun i => h i)
#align linear_map.infi_ker_proj LinearMap.iInf_ker_proj
instance CompatibleSMul.pi (R S M N ι : Type*) [Semiring S]
[AddCommMonoid M] [AddCommMonoid N] [SMul R M] [SMul R N] [Module S M] [Module S N]
[LinearMap.CompatibleSMul M N R S] : LinearMap.CompatibleSMul M (ι → N) R S where
map_smul f r m := by ext i; apply ((LinearMap.proj i).comp f).map_smul_of_tower
@[simps]
protected def compLeft (f : M₂ →ₗ[R] M₃) (I : Type*) : (I → M₂) →ₗ[R] I → M₃ :=
{ f.toAddMonoidHom.compLeft I with
toFun := fun h => f ∘ h
map_smul' := fun c h => by
ext x
exact f.map_smul' c (h x) }
#align linear_map.comp_left LinearMap.compLeft
theorem apply_single [AddCommMonoid M] [Module R M] [DecidableEq ι] (f : (i : ι) → φ i →ₗ[R] M)
(i j : ι) (x : φ i) : f j (Pi.single i x j) = (Pi.single i (f i x) : ι → M) j :=
Pi.apply_single (fun i => f i) (fun i => (f i).map_zero) _ _ _
#align linear_map.apply_single LinearMap.apply_single
def single [DecidableEq ι] (i : ι) : φ i →ₗ[R] (i : ι) → φ i :=
{ AddMonoidHom.single φ i with
toFun := Pi.single i
map_smul' := Pi.single_smul i }
#align linear_map.single LinearMap.single
@[simp]
theorem coe_single [DecidableEq ι] (i : ι) : ⇑(single i : φ i →ₗ[R] (i : ι) → φ i) = Pi.single i :=
rfl
#align linear_map.coe_single LinearMap.coe_single
variable (R φ)
@[simps symm_apply]
def lsum (S) [AddCommMonoid M] [Module R M] [Fintype ι] [DecidableEq ι] [Semiring S] [Module S M]
[SMulCommClass R S M] : ((i : ι) → φ i →ₗ[R] M) ≃ₗ[S] ((i : ι) → φ i) →ₗ[R] M where
toFun f := ∑ i : ι, (f i).comp (proj i)
invFun f i := f.comp (single i)
map_add' f g := by simp only [Pi.add_apply, add_comp, Finset.sum_add_distrib]
map_smul' c f := by simp only [Pi.smul_apply, smul_comp, Finset.smul_sum, RingHom.id_apply]
left_inv f := by
ext i x
simp [apply_single]
right_inv f := by
ext x
suffices f (∑ j, Pi.single j (x j)) = f x by simpa [apply_single]
rw [Finset.univ_sum_single]
#align linear_map.lsum LinearMap.lsum
#align linear_map.lsum_symm_apply LinearMap.lsum_symm_apply
@[simp]
theorem lsum_apply (S) [AddCommMonoid M] [Module R M] [Fintype ι] [DecidableEq ι] [Semiring S]
[Module S M] [SMulCommClass R S M] (f : (i : ι) → φ i →ₗ[R] M) :
lsum R φ S f = ∑ i : ι, (f i).comp (proj i) := rfl
#align linear_map.apply LinearMap.lsum_apply
@[simp high]
theorem lsum_single {ι R : Type*} [Fintype ι] [DecidableEq ι] [CommRing R] {M : ι → Type*}
[(i : ι) → AddCommGroup (M i)] [(i : ι) → Module R (M i)] :
LinearMap.lsum R M R LinearMap.single = LinearMap.id :=
LinearMap.ext fun x => by simp [Finset.univ_sum_single]
#align linear_map.lsum_single LinearMap.lsum_single
variable {R φ}
section
variable (R φ)
def iInfKerProjEquiv {I J : Set ι} [DecidablePred fun i => i ∈ I] (hd : Disjoint I J)
(hu : Set.univ ⊆ I ∪ J) :
(⨅ i ∈ J, ker (proj i : ((i : ι) → φ i) →ₗ[R] φ i) :
Submodule R ((i : ι) → φ i)) ≃ₗ[R] (i : I) → φ i := by
refine
LinearEquiv.ofLinear (pi fun i => (proj (i : ι)).comp (Submodule.subtype _))
(codRestrict _ (pi fun i => if h : i ∈ I then proj (⟨i, h⟩ : I) else 0) ?_) ?_ ?_
· intro b
simp only [mem_iInf, mem_ker, funext_iff, proj_apply, pi_apply]
intro j hjJ
have : j ∉ I := fun hjI => hd.le_bot ⟨hjI, hjJ⟩
rw [dif_neg this, zero_apply]
· simp only [pi_comp, comp_assoc, subtype_comp_codRestrict, proj_pi, Subtype.coe_prop]
ext b ⟨j, hj⟩
simp only [dif_pos, Function.comp_apply, Function.eval_apply, LinearMap.codRestrict_apply,
LinearMap.coe_comp, LinearMap.coe_proj, LinearMap.pi_apply, Submodule.subtype_apply,
Subtype.coe_prop]
rfl
· ext1 ⟨b, hb⟩
apply Subtype.ext
ext j
have hb : ∀ i ∈ J, b i = 0 := by
simpa only [mem_iInf, mem_ker, proj_apply] using (mem_iInf _).1 hb
simp only [comp_apply, pi_apply, id_apply, proj_apply, subtype_apply, codRestrict_apply]
split_ifs with h
· rfl
· exact (hb _ <| (hu trivial).resolve_left h).symm
#align linear_map.infi_ker_proj_equiv LinearMap.iInfKerProjEquiv
end
section
variable [DecidableEq ι]
def diag (i j : ι) : φ i →ₗ[R] φ j :=
@Function.update ι (fun j => φ i →ₗ[R] φ j) _ 0 i id j
#align linear_map.diag LinearMap.diag
theorem update_apply (f : (i : ι) → M₂ →ₗ[R] φ i) (c : M₂) (i j : ι) (b : M₂ →ₗ[R] φ i) :
(update f i b j) c = update (fun i => f i c) i (b c) j := by
by_cases h : j = i
· rw [h, update_same, update_same]
· rw [update_noteq h, update_noteq h]
#align linear_map.update_apply LinearMap.update_apply
end
| Mathlib/LinearAlgebra/Pi.lean | 260 | 264 | theorem pi_apply_eq_sum_univ [Fintype ι] [DecidableEq ι] (f : (ι → R) →ₗ[R] M₂) (x : ι → R) :
f x = ∑ i, x i • f fun j => if i = j then 1 else 0 := by |
conv_lhs => rw [pi_eq_sum_univ x, map_sum]
refine Finset.sum_congr rfl (fun _ _ => ?_)
rw [map_smul]
|
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
| Mathlib/Data/Ordmap/Ordset.lean | 1,221 | 1,222 | theorem Valid'.rotateL_lemma₁ {a b c : ℕ} (H2 : 3 * a ≤ b + c) (hb₂ : c ≤ 3 * b) : a ≤ 3 * b := by |
omega
|
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.Polynomial.Monic
import Mathlib.Data.Nat.Factorial.Basic
import Mathlib.LinearAlgebra.Vandermonde
import Mathlib.RingTheory.Polynomial.Pochhammer
namespace Nat
def superFactorial : ℕ → ℕ
| 0 => 1
| succ n => factorial n.succ * superFactorial n
scoped notation "sf" n:60 => Nat.superFactorial n
section SuperFactorial
variable {n : ℕ}
@[simp]
theorem superFactorial_zero : sf 0 = 1 :=
rfl
theorem superFactorial_succ (n : ℕ) : (sf n.succ) = (n + 1)! * sf n :=
rfl
@[simp]
theorem superFactorial_one : sf 1 = 1 :=
rfl
@[simp]
theorem superFactorial_two : sf 2 = 2 :=
rfl
open Finset
@[simp]
theorem prod_Icc_factorial : ∀ n : ℕ, ∏ x ∈ Icc 1 n, x ! = sf n
| 0 => rfl
| n + 1 => by
rw [← Ico_succ_right 1 n.succ, prod_Ico_succ_top <| Nat.succ_le_succ <| Nat.zero_le n,
Nat.factorial_succ, Ico_succ_right 1 n, prod_Icc_factorial n, superFactorial, factorial,
Nat.succ_eq_add_one, mul_comm]
@[simp]
theorem prod_range_factorial_succ (n : ℕ) : ∏ x ∈ range n, (x + 1)! = sf n :=
(prod_Icc_factorial n) ▸ range_eq_Ico ▸ Finset.prod_Ico_add' _ _ _ _
@[simp]
theorem prod_range_succ_factorial : ∀ n : ℕ, ∏ x ∈ range (n + 1), x ! = sf n
| 0 => rfl
| n + 1 => by
rw [prod_range_succ, prod_range_succ_factorial n, mul_comm, superFactorial]
variable {R : Type*} [CommRing R]
theorem det_vandermonde_id_eq_superFactorial (n : ℕ) :
(Matrix.vandermonde (fun (i : Fin (n + 1)) ↦ (i : R))).det = Nat.superFactorial n := by
induction' n with n hn
· simp [Matrix.det_vandermonde]
· rw [Nat.superFactorial, Matrix.det_vandermonde, Fin.prod_univ_succAbove _ 0]
push_cast
congr
· simp only [Fin.val_zero, Nat.cast_zero, sub_zero]
norm_cast
simp [Fin.prod_univ_eq_prod_range (fun i ↦ (↑i + 1)) (n + 1)]
· rw [Matrix.det_vandermonde] at hn
simp [hn]
theorem superFactorial_two_mul : ∀ n : ℕ,
sf (2 * n) = (∏ i ∈ range n, (2 * i + 1) !) ^ 2 * 2 ^ n * n !
| 0 => rfl
| (n + 1) => by
simp only [prod_range_succ, mul_pow, mul_add, mul_one, superFactorial_succ,
superFactorial_two_mul n, factorial_succ]
ring
| Mathlib/Data/Nat/Factorial/SuperFactorial.lean | 96 | 102 | theorem superFactorial_four_mul (n : ℕ) :
sf (4 * n) = ((∏ i ∈ range (2 * n), (2 * i + 1) !) * 2 ^ n) ^ 2 * (2 * n) ! :=
calc
sf (4 * n) = (∏ i ∈ range (2 * n), (2 * i + 1) !) ^ 2 * 2 ^ (2 * n) * (2 * n) ! := by |
rw [← superFactorial_two_mul, ← mul_assoc, Nat.mul_two]
_ = ((∏ i ∈ range (2 * n), (2 * i + 1) !) * 2 ^ n) ^ 2 * (2 * n) ! := by
rw [pow_mul', mul_pow]
|
import Mathlib.Analysis.Normed.Group.Seminorm
import Mathlib.Order.LiminfLimsup
import Mathlib.Topology.Instances.Rat
import Mathlib.Topology.MetricSpace.Algebra
import Mathlib.Topology.MetricSpace.IsometricSMul
import Mathlib.Topology.Sequences
#align_import analysis.normed.group.basic from "leanprover-community/mathlib"@"41bef4ae1254365bc190aee63b947674d2977f01"
variable {𝓕 𝕜 α ι κ E F G : Type*}
open Filter Function Metric Bornology
open ENNReal Filter NNReal Uniformity Pointwise Topology
@[notation_class]
class Norm (E : Type*) where
norm : E → ℝ
#align has_norm Norm
@[notation_class]
class NNNorm (E : Type*) where
nnnorm : E → ℝ≥0
#align has_nnnorm NNNorm
export Norm (norm)
export NNNorm (nnnorm)
@[inherit_doc]
notation "‖" e "‖" => norm e
@[inherit_doc]
notation "‖" e "‖₊" => nnnorm e
class SeminormedAddGroup (E : Type*) extends Norm E, AddGroup E, PseudoMetricSpace E where
dist := fun x y => ‖x - y‖
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align seminormed_add_group SeminormedAddGroup
@[to_additive]
class SeminormedGroup (E : Type*) extends Norm E, Group E, PseudoMetricSpace E where
dist := fun x y => ‖x / y‖
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align seminormed_group SeminormedGroup
class NormedAddGroup (E : Type*) extends Norm E, AddGroup E, MetricSpace E where
dist := fun x y => ‖x - y‖
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align normed_add_group NormedAddGroup
@[to_additive]
class NormedGroup (E : Type*) extends Norm E, Group E, MetricSpace E where
dist := fun x y => ‖x / y‖
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align normed_group NormedGroup
class SeminormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E,
PseudoMetricSpace E where
dist := fun x y => ‖x - y‖
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align seminormed_add_comm_group SeminormedAddCommGroup
@[to_additive]
class SeminormedCommGroup (E : Type*) extends Norm E, CommGroup E, PseudoMetricSpace E where
dist := fun x y => ‖x / y‖
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align seminormed_comm_group SeminormedCommGroup
class NormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, MetricSpace E where
dist := fun x y => ‖x - y‖
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align normed_add_comm_group NormedAddCommGroup
@[to_additive]
class NormedCommGroup (E : Type*) extends Norm E, CommGroup E, MetricSpace E where
dist := fun x y => ‖x / y‖
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align normed_comm_group NormedCommGroup
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) NormedGroup.toSeminormedGroup [NormedGroup E] : SeminormedGroup E :=
{ ‹NormedGroup E› with }
#align normed_group.to_seminormed_group NormedGroup.toSeminormedGroup
#align normed_add_group.to_seminormed_add_group NormedAddGroup.toSeminormedAddGroup
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) NormedCommGroup.toSeminormedCommGroup [NormedCommGroup E] :
SeminormedCommGroup E :=
{ ‹NormedCommGroup E› with }
#align normed_comm_group.to_seminormed_comm_group NormedCommGroup.toSeminormedCommGroup
#align normed_add_comm_group.to_seminormed_add_comm_group NormedAddCommGroup.toSeminormedAddCommGroup
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) SeminormedCommGroup.toSeminormedGroup [SeminormedCommGroup E] :
SeminormedGroup E :=
{ ‹SeminormedCommGroup E› with }
#align seminormed_comm_group.to_seminormed_group SeminormedCommGroup.toSeminormedGroup
#align seminormed_add_comm_group.to_seminormed_add_group SeminormedAddCommGroup.toSeminormedAddGroup
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) NormedCommGroup.toNormedGroup [NormedCommGroup E] : NormedGroup E :=
{ ‹NormedCommGroup E› with }
#align normed_comm_group.to_normed_group NormedCommGroup.toNormedGroup
#align normed_add_comm_group.to_normed_add_group NormedAddCommGroup.toNormedAddGroup
-- See note [reducible non-instances]
@[to_additive (attr := reducible) "Construct a `NormedAddGroup` from a `SeminormedAddGroup`
satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the `(Pseudo)MetricSpace`
level when declaring a `NormedAddGroup` instance as a special case of a more general
`SeminormedAddGroup` instance."]
def NormedGroup.ofSeparation [SeminormedGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) :
NormedGroup E where
dist_eq := ‹SeminormedGroup E›.dist_eq
toMetricSpace :=
{ eq_of_dist_eq_zero := fun hxy =>
div_eq_one.1 <| h _ <| by exact (‹SeminormedGroup E›.dist_eq _ _).symm.trans hxy }
-- Porting note: the `rwa` no longer worked, but it was easy enough to provide the term.
-- however, notice that if you make `x` and `y` accessible, then the following does work:
-- `have := ‹SeminormedGroup E›.dist_eq x y; rwa [← this]`, so I'm not sure why the `rwa`
-- was broken.
#align normed_group.of_separation NormedGroup.ofSeparation
#align normed_add_group.of_separation NormedAddGroup.ofSeparation
-- See note [reducible non-instances]
@[to_additive (attr := reducible) "Construct a `NormedAddCommGroup` from a
`SeminormedAddCommGroup` satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the
`(Pseudo)MetricSpace` level when declaring a `NormedAddCommGroup` instance as a special case
of a more general `SeminormedAddCommGroup` instance."]
def NormedCommGroup.ofSeparation [SeminormedCommGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) :
NormedCommGroup E :=
{ ‹SeminormedCommGroup E›, NormedGroup.ofSeparation h with }
#align normed_comm_group.of_separation NormedCommGroup.ofSeparation
#align normed_add_comm_group.of_separation NormedAddCommGroup.ofSeparation
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a translation-invariant distance."]
def SeminormedGroup.ofMulDist [Norm E] [Group E] [PseudoMetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) :
SeminormedGroup E where
dist_eq x y := by
rw [h₁]; apply le_antisymm
· simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _
· simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y
#align seminormed_group.of_mul_dist SeminormedGroup.ofMulDist
#align seminormed_add_group.of_add_dist SeminormedAddGroup.ofAddDist
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a translation-invariant pseudodistance."]
def SeminormedGroup.ofMulDist' [Norm E] [Group E] [PseudoMetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) :
SeminormedGroup E where
dist_eq x y := by
rw [h₁]; apply le_antisymm
· simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y
· simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _
#align seminormed_group.of_mul_dist' SeminormedGroup.ofMulDist'
#align seminormed_add_group.of_add_dist' SeminormedAddGroup.ofAddDist'
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a translation-invariant pseudodistance."]
def SeminormedCommGroup.ofMulDist [Norm E] [CommGroup E] [PseudoMetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) :
SeminormedCommGroup E :=
{ SeminormedGroup.ofMulDist h₁ h₂ with
mul_comm := mul_comm }
#align seminormed_comm_group.of_mul_dist SeminormedCommGroup.ofMulDist
#align seminormed_add_comm_group.of_add_dist SeminormedAddCommGroup.ofAddDist
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a translation-invariant pseudodistance."]
def SeminormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [PseudoMetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) :
SeminormedCommGroup E :=
{ SeminormedGroup.ofMulDist' h₁ h₂ with
mul_comm := mul_comm }
#align seminormed_comm_group.of_mul_dist' SeminormedCommGroup.ofMulDist'
#align seminormed_add_comm_group.of_add_dist' SeminormedAddCommGroup.ofAddDist'
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a translation-invariant distance."]
def NormedGroup.ofMulDist [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1)
(h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : NormedGroup E :=
{ SeminormedGroup.ofMulDist h₁ h₂ with
eq_of_dist_eq_zero := eq_of_dist_eq_zero }
#align normed_group.of_mul_dist NormedGroup.ofMulDist
#align normed_add_group.of_add_dist NormedAddGroup.ofAddDist
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a translation-invariant pseudodistance."]
def NormedGroup.ofMulDist' [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1)
(h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : NormedGroup E :=
{ SeminormedGroup.ofMulDist' h₁ h₂ with
eq_of_dist_eq_zero := eq_of_dist_eq_zero }
#align normed_group.of_mul_dist' NormedGroup.ofMulDist'
#align normed_add_group.of_add_dist' NormedAddGroup.ofAddDist'
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a translation-invariant pseudodistance."]
def NormedCommGroup.ofMulDist [Norm E] [CommGroup E] [MetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) :
NormedCommGroup E :=
{ NormedGroup.ofMulDist h₁ h₂ with
mul_comm := mul_comm }
#align normed_comm_group.of_mul_dist NormedCommGroup.ofMulDist
#align normed_add_comm_group.of_add_dist NormedAddCommGroup.ofAddDist
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a translation-invariant pseudodistance."]
def NormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [MetricSpace E]
(h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) :
NormedCommGroup E :=
{ NormedGroup.ofMulDist' h₁ h₂ with
mul_comm := mul_comm }
#align normed_comm_group.of_mul_dist' NormedCommGroup.ofMulDist'
#align normed_add_comm_group.of_add_dist' NormedAddCommGroup.ofAddDist'
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a seminorm, i.e., registering the pseudodistance
and the pseudometric space structure from the seminorm properties. Note that in most cases this
instance creates bad definitional equalities (e.g., it does not take into account a possibly
existing `UniformSpace` instance on `E`)."]
def GroupSeminorm.toSeminormedGroup [Group E] (f : GroupSeminorm E) : SeminormedGroup E where
dist x y := f (x / y)
norm := f
dist_eq x y := rfl
dist_self x := by simp only [div_self', map_one_eq_zero]
dist_triangle := le_map_div_add_map_div f
dist_comm := map_div_rev f
edist_dist x y := by exact ENNReal.coe_nnreal_eq _
-- Porting note: how did `mathlib3` solve this automatically?
#align group_seminorm.to_seminormed_group GroupSeminorm.toSeminormedGroup
#align add_group_seminorm.to_seminormed_add_group AddGroupSeminorm.toSeminormedAddGroup
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a seminormed group from a seminorm, i.e., registering the pseudodistance
and the pseudometric space structure from the seminorm properties. Note that in most cases this
instance creates bad definitional equalities (e.g., it does not take into account a possibly
existing `UniformSpace` instance on `E`)."]
def GroupSeminorm.toSeminormedCommGroup [CommGroup E] (f : GroupSeminorm E) :
SeminormedCommGroup E :=
{ f.toSeminormedGroup with
mul_comm := mul_comm }
#align group_seminorm.to_seminormed_comm_group GroupSeminorm.toSeminormedCommGroup
#align add_group_seminorm.to_seminormed_add_comm_group AddGroupSeminorm.toSeminormedAddCommGroup
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a norm, i.e., registering the distance and the metric
space structure from the norm properties. Note that in most cases this instance creates bad
definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace`
instance on `E`)."]
def GroupNorm.toNormedGroup [Group E] (f : GroupNorm E) : NormedGroup E :=
{ f.toGroupSeminorm.toSeminormedGroup with
eq_of_dist_eq_zero := fun h => div_eq_one.1 <| eq_one_of_map_eq_zero f h }
#align group_norm.to_normed_group GroupNorm.toNormedGroup
#align add_group_norm.to_normed_add_group AddGroupNorm.toNormedAddGroup
-- See note [reducible non-instances]
@[to_additive (attr := reducible)
"Construct a normed group from a norm, i.e., registering the distance and the metric
space structure from the norm properties. Note that in most cases this instance creates bad
definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace`
instance on `E`)."]
def GroupNorm.toNormedCommGroup [CommGroup E] (f : GroupNorm E) : NormedCommGroup E :=
{ f.toNormedGroup with
mul_comm := mul_comm }
#align group_norm.to_normed_comm_group GroupNorm.toNormedCommGroup
#align add_group_norm.to_normed_add_comm_group AddGroupNorm.toNormedAddCommGroup
instance PUnit.normedAddCommGroup : NormedAddCommGroup PUnit where
norm := Function.const _ 0
dist_eq _ _ := rfl
@[simp]
theorem PUnit.norm_eq_zero (r : PUnit) : ‖r‖ = 0 :=
rfl
#align punit.norm_eq_zero PUnit.norm_eq_zero
section SeminormedGroup
variable [SeminormedGroup E] [SeminormedGroup F] [SeminormedGroup G] {s : Set E}
{a a₁ a₂ b b₁ b₂ : E} {r r₁ r₂ : ℝ}
@[to_additive]
theorem dist_eq_norm_div (a b : E) : dist a b = ‖a / b‖ :=
SeminormedGroup.dist_eq _ _
#align dist_eq_norm_div dist_eq_norm_div
#align dist_eq_norm_sub dist_eq_norm_sub
@[to_additive]
theorem dist_eq_norm_div' (a b : E) : dist a b = ‖b / a‖ := by rw [dist_comm, dist_eq_norm_div]
#align dist_eq_norm_div' dist_eq_norm_div'
#align dist_eq_norm_sub' dist_eq_norm_sub'
alias dist_eq_norm := dist_eq_norm_sub
#align dist_eq_norm dist_eq_norm
alias dist_eq_norm' := dist_eq_norm_sub'
#align dist_eq_norm' dist_eq_norm'
@[to_additive]
instance NormedGroup.to_isometricSMul_right : IsometricSMul Eᵐᵒᵖ E :=
⟨fun a => Isometry.of_dist_eq fun b c => by simp [dist_eq_norm_div]⟩
#align normed_group.to_has_isometric_smul_right NormedGroup.to_isometricSMul_right
#align normed_add_group.to_has_isometric_vadd_right NormedAddGroup.to_isometricVAdd_right
@[to_additive (attr := simp)]
theorem dist_one_right (a : E) : dist a 1 = ‖a‖ := by rw [dist_eq_norm_div, div_one]
#align dist_one_right dist_one_right
#align dist_zero_right dist_zero_right
@[to_additive]
theorem inseparable_one_iff_norm {a : E} : Inseparable a 1 ↔ ‖a‖ = 0 := by
rw [Metric.inseparable_iff, dist_one_right]
@[to_additive (attr := simp)]
theorem dist_one_left : dist (1 : E) = norm :=
funext fun a => by rw [dist_comm, dist_one_right]
#align dist_one_left dist_one_left
#align dist_zero_left dist_zero_left
@[to_additive]
theorem Isometry.norm_map_of_map_one {f : E → F} (hi : Isometry f) (h₁ : f 1 = 1) (x : E) :
‖f x‖ = ‖x‖ := by rw [← dist_one_right, ← h₁, hi.dist_eq, dist_one_right]
#align isometry.norm_map_of_map_one Isometry.norm_map_of_map_one
#align isometry.norm_map_of_map_zero Isometry.norm_map_of_map_zero
@[to_additive (attr := simp) comap_norm_atTop]
theorem comap_norm_atTop' : comap norm atTop = cobounded E := by
simpa only [dist_one_right] using comap_dist_right_atTop (1 : E)
@[to_additive Filter.HasBasis.cobounded_of_norm]
lemma Filter.HasBasis.cobounded_of_norm' {ι : Sort*} {p : ι → Prop} {s : ι → Set ℝ}
(h : HasBasis atTop p s) : HasBasis (cobounded E) p fun i ↦ norm ⁻¹' s i :=
comap_norm_atTop' (E := E) ▸ h.comap _
@[to_additive Filter.hasBasis_cobounded_norm]
lemma Filter.hasBasis_cobounded_norm' : HasBasis (cobounded E) (fun _ ↦ True) ({x | · ≤ ‖x‖}) :=
atTop_basis.cobounded_of_norm'
@[to_additive (attr := simp) tendsto_norm_atTop_iff_cobounded]
theorem tendsto_norm_atTop_iff_cobounded' {f : α → E} {l : Filter α} :
Tendsto (‖f ·‖) l atTop ↔ Tendsto f l (cobounded E) := by
rw [← comap_norm_atTop', tendsto_comap_iff]; rfl
@[to_additive tendsto_norm_cobounded_atTop]
theorem tendsto_norm_cobounded_atTop' : Tendsto norm (cobounded E) atTop :=
tendsto_norm_atTop_iff_cobounded'.2 tendsto_id
@[to_additive eventually_cobounded_le_norm]
lemma eventually_cobounded_le_norm' (a : ℝ) : ∀ᶠ x in cobounded E, a ≤ ‖x‖ :=
tendsto_norm_cobounded_atTop'.eventually_ge_atTop a
@[to_additive tendsto_norm_cocompact_atTop]
theorem tendsto_norm_cocompact_atTop' [ProperSpace E] : Tendsto norm (cocompact E) atTop :=
cobounded_eq_cocompact (α := E) ▸ tendsto_norm_cobounded_atTop'
#align tendsto_norm_cocompact_at_top' tendsto_norm_cocompact_atTop'
#align tendsto_norm_cocompact_at_top tendsto_norm_cocompact_atTop
@[to_additive]
theorem norm_div_rev (a b : E) : ‖a / b‖ = ‖b / a‖ := by
simpa only [dist_eq_norm_div] using dist_comm a b
#align norm_div_rev norm_div_rev
#align norm_sub_rev norm_sub_rev
@[to_additive (attr := simp) norm_neg]
theorem norm_inv' (a : E) : ‖a⁻¹‖ = ‖a‖ := by simpa using norm_div_rev 1 a
#align norm_inv' norm_inv'
#align norm_neg norm_neg
open scoped symmDiff in
@[to_additive]
theorem dist_mulIndicator (s t : Set α) (f : α → E) (x : α) :
dist (s.mulIndicator f x) (t.mulIndicator f x) = ‖(s ∆ t).mulIndicator f x‖ := by
rw [dist_eq_norm_div, Set.apply_mulIndicator_symmDiff norm_inv']
@[to_additive (attr := simp)]
theorem dist_mul_self_right (a b : E) : dist b (a * b) = ‖a‖ := by
rw [← dist_one_left, ← dist_mul_right 1 a b, one_mul]
#align dist_mul_self_right dist_mul_self_right
#align dist_add_self_right dist_add_self_right
@[to_additive (attr := simp)]
theorem dist_mul_self_left (a b : E) : dist (a * b) b = ‖a‖ := by
rw [dist_comm, dist_mul_self_right]
#align dist_mul_self_left dist_mul_self_left
#align dist_add_self_left dist_add_self_left
@[to_additive (attr := simp)]
theorem dist_div_eq_dist_mul_left (a b c : E) : dist (a / b) c = dist a (c * b) := by
rw [← dist_mul_right _ _ b, div_mul_cancel]
#align dist_div_eq_dist_mul_left dist_div_eq_dist_mul_left
#align dist_sub_eq_dist_add_left dist_sub_eq_dist_add_left
@[to_additive (attr := simp)]
theorem dist_div_eq_dist_mul_right (a b c : E) : dist a (b / c) = dist (a * c) b := by
rw [← dist_mul_right _ _ c, div_mul_cancel]
#align dist_div_eq_dist_mul_right dist_div_eq_dist_mul_right
#align dist_sub_eq_dist_add_right dist_sub_eq_dist_add_right
@[to_additive (attr := simp)]
lemma Filter.inv_cobounded : (cobounded E)⁻¹ = cobounded E := by
simp only [← comap_norm_atTop', ← Filter.comap_inv, comap_comap, (· ∘ ·), norm_inv']
@[to_additive "In a (semi)normed group, negation `x ↦ -x` tends to infinity at infinity."]
theorem Filter.tendsto_inv_cobounded : Tendsto Inv.inv (cobounded E) (cobounded E) :=
inv_cobounded.le
#align filter.tendsto_inv_cobounded Filter.tendsto_inv_cobounded
#align filter.tendsto_neg_cobounded Filter.tendsto_neg_cobounded
@[to_additive norm_add_le "**Triangle inequality** for the norm."]
theorem norm_mul_le' (a b : E) : ‖a * b‖ ≤ ‖a‖ + ‖b‖ := by
simpa [dist_eq_norm_div] using dist_triangle a 1 b⁻¹
#align norm_mul_le' norm_mul_le'
#align norm_add_le norm_add_le
@[to_additive]
theorem norm_mul_le_of_le (h₁ : ‖a₁‖ ≤ r₁) (h₂ : ‖a₂‖ ≤ r₂) : ‖a₁ * a₂‖ ≤ r₁ + r₂ :=
(norm_mul_le' a₁ a₂).trans <| add_le_add h₁ h₂
#align norm_mul_le_of_le norm_mul_le_of_le
#align norm_add_le_of_le norm_add_le_of_le
@[to_additive norm_add₃_le]
theorem norm_mul₃_le (a b c : E) : ‖a * b * c‖ ≤ ‖a‖ + ‖b‖ + ‖c‖ :=
norm_mul_le_of_le (norm_mul_le' _ _) le_rfl
#align norm_mul₃_le norm_mul₃_le
#align norm_add₃_le norm_add₃_le
@[to_additive]
lemma norm_div_le_norm_div_add_norm_div (a b c : E) : ‖a / c‖ ≤ ‖a / b‖ + ‖b / c‖ := by
simpa only [dist_eq_norm_div] using dist_triangle a b c
@[to_additive (attr := simp) norm_nonneg]
theorem norm_nonneg' (a : E) : 0 ≤ ‖a‖ := by
rw [← dist_one_right]
exact dist_nonneg
#align norm_nonneg' norm_nonneg'
#align norm_nonneg norm_nonneg
@[to_additive (attr := simp) abs_norm]
theorem abs_norm' (z : E) : |‖z‖| = ‖z‖ := abs_of_nonneg <| norm_nonneg' _
#align abs_norm abs_norm
@[to_additive (attr := simp) norm_zero]
theorem norm_one' : ‖(1 : E)‖ = 0 := by rw [← dist_one_right, dist_self]
#align norm_one' norm_one'
#align norm_zero norm_zero
@[to_additive]
theorem ne_one_of_norm_ne_zero : ‖a‖ ≠ 0 → a ≠ 1 :=
mt <| by
rintro rfl
exact norm_one'
#align ne_one_of_norm_ne_zero ne_one_of_norm_ne_zero
#align ne_zero_of_norm_ne_zero ne_zero_of_norm_ne_zero
@[to_additive (attr := nontriviality) norm_of_subsingleton]
theorem norm_of_subsingleton' [Subsingleton E] (a : E) : ‖a‖ = 0 := by
rw [Subsingleton.elim a 1, norm_one']
#align norm_of_subsingleton' norm_of_subsingleton'
#align norm_of_subsingleton norm_of_subsingleton
@[to_additive zero_lt_one_add_norm_sq]
theorem zero_lt_one_add_norm_sq' (x : E) : 0 < 1 + ‖x‖ ^ 2 := by
positivity
#align zero_lt_one_add_norm_sq' zero_lt_one_add_norm_sq'
#align zero_lt_one_add_norm_sq zero_lt_one_add_norm_sq
@[to_additive]
theorem norm_div_le (a b : E) : ‖a / b‖ ≤ ‖a‖ + ‖b‖ := by
simpa [dist_eq_norm_div] using dist_triangle a 1 b
#align norm_div_le norm_div_le
#align norm_sub_le norm_sub_le
@[to_additive]
theorem norm_div_le_of_le {r₁ r₂ : ℝ} (H₁ : ‖a₁‖ ≤ r₁) (H₂ : ‖a₂‖ ≤ r₂) : ‖a₁ / a₂‖ ≤ r₁ + r₂ :=
(norm_div_le a₁ a₂).trans <| add_le_add H₁ H₂
#align norm_div_le_of_le norm_div_le_of_le
#align norm_sub_le_of_le norm_sub_le_of_le
@[to_additive dist_le_norm_add_norm]
theorem dist_le_norm_add_norm' (a b : E) : dist a b ≤ ‖a‖ + ‖b‖ := by
rw [dist_eq_norm_div]
apply norm_div_le
#align dist_le_norm_add_norm' dist_le_norm_add_norm'
#align dist_le_norm_add_norm dist_le_norm_add_norm
@[to_additive abs_norm_sub_norm_le]
theorem abs_norm_sub_norm_le' (a b : E) : |‖a‖ - ‖b‖| ≤ ‖a / b‖ := by
simpa [dist_eq_norm_div] using abs_dist_sub_le a b 1
#align abs_norm_sub_norm_le' abs_norm_sub_norm_le'
#align abs_norm_sub_norm_le abs_norm_sub_norm_le
@[to_additive norm_sub_norm_le]
theorem norm_sub_norm_le' (a b : E) : ‖a‖ - ‖b‖ ≤ ‖a / b‖ :=
(le_abs_self _).trans (abs_norm_sub_norm_le' a b)
#align norm_sub_norm_le' norm_sub_norm_le'
#align norm_sub_norm_le norm_sub_norm_le
@[to_additive dist_norm_norm_le]
theorem dist_norm_norm_le' (a b : E) : dist ‖a‖ ‖b‖ ≤ ‖a / b‖ :=
abs_norm_sub_norm_le' a b
#align dist_norm_norm_le' dist_norm_norm_le'
#align dist_norm_norm_le dist_norm_norm_le
@[to_additive]
theorem norm_le_norm_add_norm_div' (u v : E) : ‖u‖ ≤ ‖v‖ + ‖u / v‖ := by
rw [add_comm]
refine (norm_mul_le' _ _).trans_eq' ?_
rw [div_mul_cancel]
#align norm_le_norm_add_norm_div' norm_le_norm_add_norm_div'
#align norm_le_norm_add_norm_sub' norm_le_norm_add_norm_sub'
@[to_additive]
theorem norm_le_norm_add_norm_div (u v : E) : ‖v‖ ≤ ‖u‖ + ‖u / v‖ := by
rw [norm_div_rev]
exact norm_le_norm_add_norm_div' v u
#align norm_le_norm_add_norm_div norm_le_norm_add_norm_div
#align norm_le_norm_add_norm_sub norm_le_norm_add_norm_sub
alias norm_le_insert' := norm_le_norm_add_norm_sub'
#align norm_le_insert' norm_le_insert'
alias norm_le_insert := norm_le_norm_add_norm_sub
#align norm_le_insert norm_le_insert
@[to_additive]
theorem norm_le_mul_norm_add (u v : E) : ‖u‖ ≤ ‖u * v‖ + ‖v‖ :=
calc
‖u‖ = ‖u * v / v‖ := by rw [mul_div_cancel_right]
_ ≤ ‖u * v‖ + ‖v‖ := norm_div_le _ _
#align norm_le_mul_norm_add norm_le_mul_norm_add
#align norm_le_add_norm_add norm_le_add_norm_add
@[to_additive ball_eq]
theorem ball_eq' (y : E) (ε : ℝ) : ball y ε = { x | ‖x / y‖ < ε } :=
Set.ext fun a => by simp [dist_eq_norm_div]
#align ball_eq' ball_eq'
#align ball_eq ball_eq
@[to_additive]
theorem ball_one_eq (r : ℝ) : ball (1 : E) r = { x | ‖x‖ < r } :=
Set.ext fun a => by simp
#align ball_one_eq ball_one_eq
#align ball_zero_eq ball_zero_eq
@[to_additive mem_ball_iff_norm]
theorem mem_ball_iff_norm'' : b ∈ ball a r ↔ ‖b / a‖ < r := by rw [mem_ball, dist_eq_norm_div]
#align mem_ball_iff_norm'' mem_ball_iff_norm''
#align mem_ball_iff_norm mem_ball_iff_norm
@[to_additive mem_ball_iff_norm']
theorem mem_ball_iff_norm''' : b ∈ ball a r ↔ ‖a / b‖ < r := by rw [mem_ball', dist_eq_norm_div]
#align mem_ball_iff_norm''' mem_ball_iff_norm'''
#align mem_ball_iff_norm' mem_ball_iff_norm'
@[to_additive] -- Porting note (#10618): `simp` can prove it
theorem mem_ball_one_iff : a ∈ ball (1 : E) r ↔ ‖a‖ < r := by rw [mem_ball, dist_one_right]
#align mem_ball_one_iff mem_ball_one_iff
#align mem_ball_zero_iff mem_ball_zero_iff
@[to_additive mem_closedBall_iff_norm]
theorem mem_closedBall_iff_norm'' : b ∈ closedBall a r ↔ ‖b / a‖ ≤ r := by
rw [mem_closedBall, dist_eq_norm_div]
#align mem_closed_ball_iff_norm'' mem_closedBall_iff_norm''
#align mem_closed_ball_iff_norm mem_closedBall_iff_norm
@[to_additive] -- Porting note (#10618): `simp` can prove it
theorem mem_closedBall_one_iff : a ∈ closedBall (1 : E) r ↔ ‖a‖ ≤ r := by
rw [mem_closedBall, dist_one_right]
#align mem_closed_ball_one_iff mem_closedBall_one_iff
#align mem_closed_ball_zero_iff mem_closedBall_zero_iff
@[to_additive mem_closedBall_iff_norm']
theorem mem_closedBall_iff_norm''' : b ∈ closedBall a r ↔ ‖a / b‖ ≤ r := by
rw [mem_closedBall', dist_eq_norm_div]
#align mem_closed_ball_iff_norm''' mem_closedBall_iff_norm'''
#align mem_closed_ball_iff_norm' mem_closedBall_iff_norm'
@[to_additive norm_le_of_mem_closedBall]
theorem norm_le_of_mem_closedBall' (h : b ∈ closedBall a r) : ‖b‖ ≤ ‖a‖ + r :=
(norm_le_norm_add_norm_div' _ _).trans <| add_le_add_left (by rwa [← dist_eq_norm_div]) _
#align norm_le_of_mem_closed_ball' norm_le_of_mem_closedBall'
#align norm_le_of_mem_closed_ball norm_le_of_mem_closedBall
@[to_additive norm_le_norm_add_const_of_dist_le]
theorem norm_le_norm_add_const_of_dist_le' : dist a b ≤ r → ‖a‖ ≤ ‖b‖ + r :=
norm_le_of_mem_closedBall'
#align norm_le_norm_add_const_of_dist_le' norm_le_norm_add_const_of_dist_le'
#align norm_le_norm_add_const_of_dist_le norm_le_norm_add_const_of_dist_le
@[to_additive norm_lt_of_mem_ball]
theorem norm_lt_of_mem_ball' (h : b ∈ ball a r) : ‖b‖ < ‖a‖ + r :=
(norm_le_norm_add_norm_div' _ _).trans_lt <| add_lt_add_left (by rwa [← dist_eq_norm_div]) _
#align norm_lt_of_mem_ball' norm_lt_of_mem_ball'
#align norm_lt_of_mem_ball norm_lt_of_mem_ball
@[to_additive]
theorem norm_div_sub_norm_div_le_norm_div (u v w : E) : ‖u / w‖ - ‖v / w‖ ≤ ‖u / v‖ := by
simpa only [div_div_div_cancel_right'] using norm_sub_norm_le' (u / w) (v / w)
#align norm_div_sub_norm_div_le_norm_div norm_div_sub_norm_div_le_norm_div
#align norm_sub_sub_norm_sub_le_norm_sub norm_sub_sub_norm_sub_le_norm_sub
@[to_additive isBounded_iff_forall_norm_le]
theorem isBounded_iff_forall_norm_le' : Bornology.IsBounded s ↔ ∃ C, ∀ x ∈ s, ‖x‖ ≤ C := by
simpa only [Set.subset_def, mem_closedBall_one_iff] using isBounded_iff_subset_closedBall (1 : E)
#align bounded_iff_forall_norm_le' isBounded_iff_forall_norm_le'
#align bounded_iff_forall_norm_le isBounded_iff_forall_norm_le
alias ⟨Bornology.IsBounded.exists_norm_le', _⟩ := isBounded_iff_forall_norm_le'
#align metric.bounded.exists_norm_le' Bornology.IsBounded.exists_norm_le'
alias ⟨Bornology.IsBounded.exists_norm_le, _⟩ := isBounded_iff_forall_norm_le
#align metric.bounded.exists_norm_le Bornology.IsBounded.exists_norm_le
attribute [to_additive existing exists_norm_le] Bornology.IsBounded.exists_norm_le'
@[to_additive exists_pos_norm_le]
theorem Bornology.IsBounded.exists_pos_norm_le' (hs : IsBounded s) : ∃ R > 0, ∀ x ∈ s, ‖x‖ ≤ R :=
let ⟨R₀, hR₀⟩ := hs.exists_norm_le'
⟨max R₀ 1, by positivity, fun x hx => (hR₀ x hx).trans <| le_max_left _ _⟩
#align metric.bounded.exists_pos_norm_le' Bornology.IsBounded.exists_pos_norm_le'
#align metric.bounded.exists_pos_norm_le Bornology.IsBounded.exists_pos_norm_le
@[to_additive Bornology.IsBounded.exists_pos_norm_lt]
theorem Bornology.IsBounded.exists_pos_norm_lt' (hs : IsBounded s) : ∃ R > 0, ∀ x ∈ s, ‖x‖ < R :=
let ⟨R, hR₀, hR⟩ := hs.exists_pos_norm_le'
⟨R + 1, by positivity, fun x hx ↦ (hR x hx).trans_lt (lt_add_one _)⟩
@[to_additive (attr := simp 1001) mem_sphere_iff_norm]
-- Porting note: increase priority so the left-hand side doesn't reduce
theorem mem_sphere_iff_norm' : b ∈ sphere a r ↔ ‖b / a‖ = r := by simp [dist_eq_norm_div]
#align mem_sphere_iff_norm' mem_sphere_iff_norm'
#align mem_sphere_iff_norm mem_sphere_iff_norm
@[to_additive] -- `simp` can prove this
theorem mem_sphere_one_iff_norm : a ∈ sphere (1 : E) r ↔ ‖a‖ = r := by simp [dist_eq_norm_div]
#align mem_sphere_one_iff_norm mem_sphere_one_iff_norm
#align mem_sphere_zero_iff_norm mem_sphere_zero_iff_norm
@[to_additive (attr := simp) norm_eq_of_mem_sphere]
theorem norm_eq_of_mem_sphere' (x : sphere (1 : E) r) : ‖(x : E)‖ = r :=
mem_sphere_one_iff_norm.mp x.2
#align norm_eq_of_mem_sphere' norm_eq_of_mem_sphere'
#align norm_eq_of_mem_sphere norm_eq_of_mem_sphere
@[to_additive]
theorem ne_one_of_mem_sphere (hr : r ≠ 0) (x : sphere (1 : E) r) : (x : E) ≠ 1 :=
ne_one_of_norm_ne_zero <| by rwa [norm_eq_of_mem_sphere' x]
#align ne_one_of_mem_sphere ne_one_of_mem_sphere
#align ne_zero_of_mem_sphere ne_zero_of_mem_sphere
@[to_additive ne_zero_of_mem_unit_sphere]
theorem ne_one_of_mem_unit_sphere (x : sphere (1 : E) 1) : (x : E) ≠ 1 :=
ne_one_of_mem_sphere one_ne_zero _
#align ne_one_of_mem_unit_sphere ne_one_of_mem_unit_sphere
#align ne_zero_of_mem_unit_sphere ne_zero_of_mem_unit_sphere
variable (E)
@[to_additive "The norm of a seminormed group as an additive group seminorm."]
def normGroupSeminorm : GroupSeminorm E :=
⟨norm, norm_one', norm_mul_le', norm_inv'⟩
#align norm_group_seminorm normGroupSeminorm
#align norm_add_group_seminorm normAddGroupSeminorm
@[to_additive (attr := simp)]
theorem coe_normGroupSeminorm : ⇑(normGroupSeminorm E) = norm :=
rfl
#align coe_norm_group_seminorm coe_normGroupSeminorm
#align coe_norm_add_group_seminorm coe_normAddGroupSeminorm
variable {E}
@[to_additive]
theorem NormedCommGroup.tendsto_nhds_one {f : α → E} {l : Filter α} :
Tendsto f l (𝓝 1) ↔ ∀ ε > 0, ∀ᶠ x in l, ‖f x‖ < ε :=
Metric.tendsto_nhds.trans <| by simp only [dist_one_right]
#align normed_comm_group.tendsto_nhds_one NormedCommGroup.tendsto_nhds_one
#align normed_add_comm_group.tendsto_nhds_zero NormedAddCommGroup.tendsto_nhds_zero
@[to_additive]
theorem NormedCommGroup.tendsto_nhds_nhds {f : E → F} {x : E} {y : F} :
Tendsto f (𝓝 x) (𝓝 y) ↔ ∀ ε > 0, ∃ δ > 0, ∀ x', ‖x' / x‖ < δ → ‖f x' / y‖ < ε := by
simp_rw [Metric.tendsto_nhds_nhds, dist_eq_norm_div]
#align normed_comm_group.tendsto_nhds_nhds NormedCommGroup.tendsto_nhds_nhds
#align normed_add_comm_group.tendsto_nhds_nhds NormedAddCommGroup.tendsto_nhds_nhds
@[to_additive]
theorem NormedCommGroup.cauchySeq_iff [Nonempty α] [SemilatticeSup α] {u : α → E} :
CauchySeq u ↔ ∀ ε > 0, ∃ N, ∀ m, N ≤ m → ∀ n, N ≤ n → ‖u m / u n‖ < ε := by
simp [Metric.cauchySeq_iff, dist_eq_norm_div]
#align normed_comm_group.cauchy_seq_iff NormedCommGroup.cauchySeq_iff
#align normed_add_comm_group.cauchy_seq_iff NormedAddCommGroup.cauchySeq_iff
@[to_additive]
theorem NormedCommGroup.nhds_basis_norm_lt (x : E) :
(𝓝 x).HasBasis (fun ε : ℝ => 0 < ε) fun ε => { y | ‖y / x‖ < ε } := by
simp_rw [← ball_eq']
exact Metric.nhds_basis_ball
#align normed_comm_group.nhds_basis_norm_lt NormedCommGroup.nhds_basis_norm_lt
#align normed_add_comm_group.nhds_basis_norm_lt NormedAddCommGroup.nhds_basis_norm_lt
@[to_additive]
theorem NormedCommGroup.nhds_one_basis_norm_lt :
(𝓝 (1 : E)).HasBasis (fun ε : ℝ => 0 < ε) fun ε => { y | ‖y‖ < ε } := by
convert NormedCommGroup.nhds_basis_norm_lt (1 : E)
simp
#align normed_comm_group.nhds_one_basis_norm_lt NormedCommGroup.nhds_one_basis_norm_lt
#align normed_add_comm_group.nhds_zero_basis_norm_lt NormedAddCommGroup.nhds_zero_basis_norm_lt
@[to_additive]
theorem NormedCommGroup.uniformity_basis_dist :
(𝓤 E).HasBasis (fun ε : ℝ => 0 < ε) fun ε => { p : E × E | ‖p.fst / p.snd‖ < ε } := by
convert Metric.uniformity_basis_dist (α := E) using 1
simp [dist_eq_norm_div]
#align normed_comm_group.uniformity_basis_dist NormedCommGroup.uniformity_basis_dist
#align normed_add_comm_group.uniformity_basis_dist NormedAddCommGroup.uniformity_basis_dist
open Finset
variable [FunLike 𝓕 E F]
@[to_additive "A homomorphism `f` of seminormed groups is Lipschitz, if there exists a constant
`C` such that for all `x`, one has `‖f x‖ ≤ C * ‖x‖`. The analogous condition for a linear map of
(semi)normed spaces is in `Mathlib/Analysis/NormedSpace/OperatorNorm.lean`."]
theorem MonoidHomClass.lipschitz_of_bound [MonoidHomClass 𝓕 E F] (f : 𝓕) (C : ℝ)
(h : ∀ x, ‖f x‖ ≤ C * ‖x‖) : LipschitzWith (Real.toNNReal C) f :=
LipschitzWith.of_dist_le' fun x y => by simpa only [dist_eq_norm_div, map_div] using h (x / y)
#align monoid_hom_class.lipschitz_of_bound MonoidHomClass.lipschitz_of_bound
#align add_monoid_hom_class.lipschitz_of_bound AddMonoidHomClass.lipschitz_of_bound
@[to_additive]
theorem lipschitzOnWith_iff_norm_div_le {f : E → F} {C : ℝ≥0} :
LipschitzOnWith C f s ↔ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → ‖f x / f y‖ ≤ C * ‖x / y‖ := by
simp only [lipschitzOnWith_iff_dist_le_mul, dist_eq_norm_div]
#align lipschitz_on_with_iff_norm_div_le lipschitzOnWith_iff_norm_div_le
#align lipschitz_on_with_iff_norm_sub_le lipschitzOnWith_iff_norm_sub_le
alias ⟨LipschitzOnWith.norm_div_le, _⟩ := lipschitzOnWith_iff_norm_div_le
#align lipschitz_on_with.norm_div_le LipschitzOnWith.norm_div_le
attribute [to_additive] LipschitzOnWith.norm_div_le
@[to_additive]
theorem LipschitzOnWith.norm_div_le_of_le {f : E → F} {C : ℝ≥0} (h : LipschitzOnWith C f s)
(ha : a ∈ s) (hb : b ∈ s) (hr : ‖a / b‖ ≤ r) : ‖f a / f b‖ ≤ C * r :=
(h.norm_div_le ha hb).trans <| by gcongr
#align lipschitz_on_with.norm_div_le_of_le LipschitzOnWith.norm_div_le_of_le
#align lipschitz_on_with.norm_sub_le_of_le LipschitzOnWith.norm_sub_le_of_le
@[to_additive]
theorem lipschitzWith_iff_norm_div_le {f : E → F} {C : ℝ≥0} :
LipschitzWith C f ↔ ∀ x y, ‖f x / f y‖ ≤ C * ‖x / y‖ := by
simp only [lipschitzWith_iff_dist_le_mul, dist_eq_norm_div]
#align lipschitz_with_iff_norm_div_le lipschitzWith_iff_norm_div_le
#align lipschitz_with_iff_norm_sub_le lipschitzWith_iff_norm_sub_le
alias ⟨LipschitzWith.norm_div_le, _⟩ := lipschitzWith_iff_norm_div_le
#align lipschitz_with.norm_div_le LipschitzWith.norm_div_le
attribute [to_additive] LipschitzWith.norm_div_le
@[to_additive]
theorem LipschitzWith.norm_div_le_of_le {f : E → F} {C : ℝ≥0} (h : LipschitzWith C f)
(hr : ‖a / b‖ ≤ r) : ‖f a / f b‖ ≤ C * r :=
(h.norm_div_le _ _).trans <| by gcongr
#align lipschitz_with.norm_div_le_of_le LipschitzWith.norm_div_le_of_le
#align lipschitz_with.norm_sub_le_of_le LipschitzWith.norm_sub_le_of_le
@[to_additive "A homomorphism `f` of seminormed groups is continuous, if there exists a constant `C`
such that for all `x`, one has `‖f x‖ ≤ C * ‖x‖`"]
theorem MonoidHomClass.continuous_of_bound [MonoidHomClass 𝓕 E F] (f : 𝓕) (C : ℝ)
(h : ∀ x, ‖f x‖ ≤ C * ‖x‖) : Continuous f :=
(MonoidHomClass.lipschitz_of_bound f C h).continuous
#align monoid_hom_class.continuous_of_bound MonoidHomClass.continuous_of_bound
#align add_monoid_hom_class.continuous_of_bound AddMonoidHomClass.continuous_of_bound
@[to_additive]
theorem MonoidHomClass.uniformContinuous_of_bound [MonoidHomClass 𝓕 E F] (f : 𝓕) (C : ℝ)
(h : ∀ x, ‖f x‖ ≤ C * ‖x‖) : UniformContinuous f :=
(MonoidHomClass.lipschitz_of_bound f C h).uniformContinuous
#align monoid_hom_class.uniform_continuous_of_bound MonoidHomClass.uniformContinuous_of_bound
#align add_monoid_hom_class.uniform_continuous_of_bound AddMonoidHomClass.uniformContinuous_of_bound
@[to_additive IsCompact.exists_bound_of_continuousOn]
theorem IsCompact.exists_bound_of_continuousOn' [TopologicalSpace α] {s : Set α} (hs : IsCompact s)
{f : α → E} (hf : ContinuousOn f s) : ∃ C, ∀ x ∈ s, ‖f x‖ ≤ C :=
(isBounded_iff_forall_norm_le'.1 (hs.image_of_continuousOn hf).isBounded).imp fun _C hC _x hx =>
hC _ <| Set.mem_image_of_mem _ hx
#align is_compact.exists_bound_of_continuous_on' IsCompact.exists_bound_of_continuousOn'
#align is_compact.exists_bound_of_continuous_on IsCompact.exists_bound_of_continuousOn
@[to_additive]
theorem HasCompactMulSupport.exists_bound_of_continuous [TopologicalSpace α]
{f : α → E} (hf : HasCompactMulSupport f) (h'f : Continuous f) : ∃ C, ∀ x, ‖f x‖ ≤ C := by
simpa using (hf.isCompact_range h'f).isBounded.exists_norm_le'
@[to_additive]
theorem MonoidHomClass.isometry_iff_norm [MonoidHomClass 𝓕 E F] (f : 𝓕) :
Isometry f ↔ ∀ x, ‖f x‖ = ‖x‖ := by
simp only [isometry_iff_dist_eq, dist_eq_norm_div, ← map_div]
refine ⟨fun h x => ?_, fun h x y => h _⟩
simpa using h x 1
#align monoid_hom_class.isometry_iff_norm MonoidHomClass.isometry_iff_norm
#align add_monoid_hom_class.isometry_iff_norm AddMonoidHomClass.isometry_iff_norm
alias ⟨_, MonoidHomClass.isometry_of_norm⟩ := MonoidHomClass.isometry_iff_norm
#align monoid_hom_class.isometry_of_norm MonoidHomClass.isometry_of_norm
attribute [to_additive] MonoidHomClass.isometry_of_norm
@[to_additive]
theorem tendsto_iff_norm_div_tendsto_zero {f : α → E} {a : Filter α} {b : E} :
Tendsto f a (𝓝 b) ↔ Tendsto (fun e => ‖f e / b‖) a (𝓝 0) := by
simp only [← dist_eq_norm_div, ← tendsto_iff_dist_tendsto_zero]
#align tendsto_iff_norm_tendsto_one tendsto_iff_norm_div_tendsto_zero
#align tendsto_iff_norm_tendsto_zero tendsto_iff_norm_sub_tendsto_zero
@[to_additive]
theorem tendsto_one_iff_norm_tendsto_zero {f : α → E} {a : Filter α} :
Tendsto f a (𝓝 1) ↔ Tendsto (‖f ·‖) a (𝓝 0) :=
tendsto_iff_norm_div_tendsto_zero.trans <| by simp only [div_one]
#align tendsto_one_iff_norm_tendsto_one tendsto_one_iff_norm_tendsto_zero
#align tendsto_zero_iff_norm_tendsto_zero tendsto_zero_iff_norm_tendsto_zero
@[to_additive]
theorem comap_norm_nhds_one : comap norm (𝓝 0) = 𝓝 (1 : E) := by
simpa only [dist_one_right] using nhds_comap_dist (1 : E)
#align comap_norm_nhds_one comap_norm_nhds_one
#align comap_norm_nhds_zero comap_norm_nhds_zero
@[to_additive "Special case of the sandwich theorem: if the norm of `f` is eventually bounded by a
real function `a` which tends to `0`, then `f` tends to `0`. In this pair of lemmas
(`squeeze_zero_norm'` and `squeeze_zero_norm`), following a convention of similar lemmas in
`Topology.MetricSpace.PseudoMetric` and `Topology.Algebra.Order`, the `'` version is phrased using
\"eventually\" and the non-`'` version is phrased absolutely."]
theorem squeeze_one_norm' {f : α → E} {a : α → ℝ} {t₀ : Filter α} (h : ∀ᶠ n in t₀, ‖f n‖ ≤ a n)
(h' : Tendsto a t₀ (𝓝 0)) : Tendsto f t₀ (𝓝 1) :=
tendsto_one_iff_norm_tendsto_zero.2 <|
squeeze_zero' (eventually_of_forall fun _n => norm_nonneg' _) h h'
#align squeeze_one_norm' squeeze_one_norm'
#align squeeze_zero_norm' squeeze_zero_norm'
@[to_additive "Special case of the sandwich theorem: if the norm of `f` is bounded by a real
function `a` which tends to `0`, then `f` tends to `0`."]
theorem squeeze_one_norm {f : α → E} {a : α → ℝ} {t₀ : Filter α} (h : ∀ n, ‖f n‖ ≤ a n) :
Tendsto a t₀ (𝓝 0) → Tendsto f t₀ (𝓝 1) :=
squeeze_one_norm' <| eventually_of_forall h
#align squeeze_one_norm squeeze_one_norm
#align squeeze_zero_norm squeeze_zero_norm
@[to_additive]
| Mathlib/Analysis/Normed/Group/Basic.lean | 1,207 | 1,209 | theorem tendsto_norm_div_self (x : E) : Tendsto (fun a => ‖a / x‖) (𝓝 x) (𝓝 0) := by |
simpa [dist_eq_norm_div] using
tendsto_id.dist (tendsto_const_nhds : Tendsto (fun _a => (x : E)) (𝓝 x) _)
|
import Mathlib.Tactic.FinCases
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.Algebra.Field.IsField
#align_import ring_theory.ideal.basic from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
universe u v w
variable {α : Type u} {β : Type v}
open Set Function
open Pointwise
abbrev Ideal (R : Type u) [Semiring R] :=
Submodule R R
#align ideal Ideal
@[mk_iff]
class IsPrincipalIdealRing (R : Type u) [Semiring R] : Prop where
principal : ∀ S : Ideal R, S.IsPrincipal
#align is_principal_ideal_ring IsPrincipalIdealRing
attribute [instance] IsPrincipalIdealRing.principal
section Semiring
namespace Ideal
variable [Semiring α] (I : Ideal α) {a b : α}
protected theorem zero_mem : (0 : α) ∈ I :=
Submodule.zero_mem I
#align ideal.zero_mem Ideal.zero_mem
protected theorem add_mem : a ∈ I → b ∈ I → a + b ∈ I :=
Submodule.add_mem I
#align ideal.add_mem Ideal.add_mem
variable (a)
theorem mul_mem_left : b ∈ I → a * b ∈ I :=
Submodule.smul_mem I a
#align ideal.mul_mem_left Ideal.mul_mem_left
variable {a}
@[ext]
theorem ext {I J : Ideal α} (h : ∀ x, x ∈ I ↔ x ∈ J) : I = J :=
Submodule.ext h
#align ideal.ext Ideal.ext
theorem sum_mem (I : Ideal α) {ι : Type*} {t : Finset ι} {f : ι → α} :
(∀ c ∈ t, f c ∈ I) → (∑ i ∈ t, f i) ∈ I :=
Submodule.sum_mem I
#align ideal.sum_mem Ideal.sum_mem
| Mathlib/RingTheory/Ideal/Basic.lean | 84 | 89 | theorem eq_top_of_unit_mem (x y : α) (hx : x ∈ I) (h : y * x = 1) : I = ⊤ :=
eq_top_iff.2 fun z _ =>
calc
z = z * (y * x) := by | simp [h]
_ = z * y * x := Eq.symm <| mul_assoc z y x
_ ∈ I := I.mul_mem_left _ hx
|
import Mathlib.CategoryTheory.Limits.IsLimit
import Mathlib.CategoryTheory.Category.ULift
import Mathlib.CategoryTheory.EssentiallySmall
import Mathlib.Logic.Equiv.Basic
#align_import category_theory.limits.has_limits from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d"
noncomputable section
open CategoryTheory CategoryTheory.Category CategoryTheory.Functor Opposite
namespace CategoryTheory.Limits
-- morphism levels before object levels. See note [CategoryTheory universes].
universe v₁ u₁ v₂ u₂ v₃ u₃ v v' v'' u u' u''
variable {J : Type u₁} [Category.{v₁} J] {K : Type u₂} [Category.{v₂} K]
variable {C : Type u} [Category.{v} C]
variable {F : J ⥤ C}
section Limit
-- @[nolint has_nonempty_instance] -- Porting note(#5171): removed; linter not ported yet
structure LimitCone (F : J ⥤ C) where
cone : Cone F
isLimit : IsLimit cone
#align category_theory.limits.limit_cone CategoryTheory.Limits.LimitCone
#align category_theory.limits.limit_cone.is_limit CategoryTheory.Limits.LimitCone.isLimit
class HasLimit (F : J ⥤ C) : Prop where mk' ::
exists_limit : Nonempty (LimitCone F)
#align category_theory.limits.has_limit CategoryTheory.Limits.HasLimit
theorem HasLimit.mk {F : J ⥤ C} (d : LimitCone F) : HasLimit F :=
⟨Nonempty.intro d⟩
#align category_theory.limits.has_limit.mk CategoryTheory.Limits.HasLimit.mk
def getLimitCone (F : J ⥤ C) [HasLimit F] : LimitCone F :=
Classical.choice <| HasLimit.exists_limit
#align category_theory.limits.get_limit_cone CategoryTheory.Limits.getLimitCone
variable (J C)
class HasLimitsOfShape : Prop where
has_limit : ∀ F : J ⥤ C, HasLimit F := by infer_instance
#align category_theory.limits.has_limits_of_shape CategoryTheory.Limits.HasLimitsOfShape
@[pp_with_univ]
class HasLimitsOfSize (C : Type u) [Category.{v} C] : Prop where
has_limits_of_shape : ∀ (J : Type u₁) [Category.{v₁} J], HasLimitsOfShape J C := by
infer_instance
#align category_theory.limits.has_limits_of_size CategoryTheory.Limits.HasLimitsOfSize
abbrev HasLimits (C : Type u) [Category.{v} C] : Prop :=
HasLimitsOfSize.{v, v} C
#align category_theory.limits.has_limits CategoryTheory.Limits.HasLimits
theorem HasLimits.has_limits_of_shape {C : Type u} [Category.{v} C] [HasLimits C] (J : Type v)
[Category.{v} J] : HasLimitsOfShape J C :=
HasLimitsOfSize.has_limits_of_shape J
#align category_theory.limits.has_limits.has_limits_of_shape CategoryTheory.Limits.HasLimits.has_limits_of_shape
variable {J C}
-- see Note [lower instance priority]
instance (priority := 100) hasLimitOfHasLimitsOfShape {J : Type u₁} [Category.{v₁} J]
[HasLimitsOfShape J C] (F : J ⥤ C) : HasLimit F :=
HasLimitsOfShape.has_limit F
#align category_theory.limits.has_limit_of_has_limits_of_shape CategoryTheory.Limits.hasLimitOfHasLimitsOfShape
-- see Note [lower instance priority]
instance (priority := 100) hasLimitsOfShapeOfHasLimits {J : Type u₁} [Category.{v₁} J]
[HasLimitsOfSize.{v₁, u₁} C] : HasLimitsOfShape J C :=
HasLimitsOfSize.has_limits_of_shape J
#align category_theory.limits.has_limits_of_shape_of_has_limits CategoryTheory.Limits.hasLimitsOfShapeOfHasLimits
-- Interface to the `HasLimit` class.
def limit.cone (F : J ⥤ C) [HasLimit F] : Cone F :=
(getLimitCone F).cone
#align category_theory.limits.limit.cone CategoryTheory.Limits.limit.cone
def limit (F : J ⥤ C) [HasLimit F] :=
(limit.cone F).pt
#align category_theory.limits.limit CategoryTheory.Limits.limit
def limit.π (F : J ⥤ C) [HasLimit F] (j : J) : limit F ⟶ F.obj j :=
(limit.cone F).π.app j
#align category_theory.limits.limit.π CategoryTheory.Limits.limit.π
@[simp]
theorem limit.cone_x {F : J ⥤ C} [HasLimit F] : (limit.cone F).pt = limit F :=
rfl
set_option linter.uppercaseLean3 false in
#align category_theory.limits.limit.cone_X CategoryTheory.Limits.limit.cone_x
@[simp]
theorem limit.cone_π {F : J ⥤ C} [HasLimit F] : (limit.cone F).π.app = limit.π _ :=
rfl
#align category_theory.limits.limit.cone_π CategoryTheory.Limits.limit.cone_π
@[reassoc (attr := simp)]
theorem limit.w (F : J ⥤ C) [HasLimit F] {j j' : J} (f : j ⟶ j') :
limit.π F j ≫ F.map f = limit.π F j' :=
(limit.cone F).w f
#align category_theory.limits.limit.w CategoryTheory.Limits.limit.w
def limit.isLimit (F : J ⥤ C) [HasLimit F] : IsLimit (limit.cone F) :=
(getLimitCone F).isLimit
#align category_theory.limits.limit.is_limit CategoryTheory.Limits.limit.isLimit
def limit.lift (F : J ⥤ C) [HasLimit F] (c : Cone F) : c.pt ⟶ limit F :=
(limit.isLimit F).lift c
#align category_theory.limits.limit.lift CategoryTheory.Limits.limit.lift
@[simp]
theorem limit.isLimit_lift {F : J ⥤ C} [HasLimit F] (c : Cone F) :
(limit.isLimit F).lift c = limit.lift F c :=
rfl
#align category_theory.limits.limit.is_limit_lift CategoryTheory.Limits.limit.isLimit_lift
@[reassoc (attr := simp)]
theorem limit.lift_π {F : J ⥤ C} [HasLimit F] (c : Cone F) (j : J) :
limit.lift F c ≫ limit.π F j = c.π.app j :=
IsLimit.fac _ c j
#align category_theory.limits.limit.lift_π CategoryTheory.Limits.limit.lift_π
def limMap {F G : J ⥤ C} [HasLimit F] [HasLimit G] (α : F ⟶ G) : limit F ⟶ limit G :=
IsLimit.map _ (limit.isLimit G) α
#align category_theory.limits.lim_map CategoryTheory.Limits.limMap
@[reassoc (attr := simp)]
theorem limMap_π {F G : J ⥤ C} [HasLimit F] [HasLimit G] (α : F ⟶ G) (j : J) :
limMap α ≫ limit.π G j = limit.π F j ≫ α.app j :=
limit.lift_π _ j
#align category_theory.limits.lim_map_π CategoryTheory.Limits.limMap_π
def limit.coneMorphism {F : J ⥤ C} [HasLimit F] (c : Cone F) : c ⟶ limit.cone F :=
(limit.isLimit F).liftConeMorphism c
#align category_theory.limits.limit.cone_morphism CategoryTheory.Limits.limit.coneMorphism
@[simp]
theorem limit.coneMorphism_hom {F : J ⥤ C} [HasLimit F] (c : Cone F) :
(limit.coneMorphism c).hom = limit.lift F c :=
rfl
#align category_theory.limits.limit.cone_morphism_hom CategoryTheory.Limits.limit.coneMorphism_hom
theorem limit.coneMorphism_π {F : J ⥤ C} [HasLimit F] (c : Cone F) (j : J) :
(limit.coneMorphism c).hom ≫ limit.π F j = c.π.app j := by simp
#align category_theory.limits.limit.cone_morphism_π CategoryTheory.Limits.limit.coneMorphism_π
@[reassoc (attr := simp)]
theorem limit.conePointUniqueUpToIso_hom_comp {F : J ⥤ C} [HasLimit F] {c : Cone F} (hc : IsLimit c)
(j : J) : (IsLimit.conePointUniqueUpToIso hc (limit.isLimit _)).hom ≫ limit.π F j = c.π.app j :=
IsLimit.conePointUniqueUpToIso_hom_comp _ _ _
#align category_theory.limits.limit.cone_point_unique_up_to_iso_hom_comp CategoryTheory.Limits.limit.conePointUniqueUpToIso_hom_comp
@[reassoc (attr := simp)]
theorem limit.conePointUniqueUpToIso_inv_comp {F : J ⥤ C} [HasLimit F] {c : Cone F} (hc : IsLimit c)
(j : J) : (IsLimit.conePointUniqueUpToIso (limit.isLimit _) hc).inv ≫ limit.π F j = c.π.app j :=
IsLimit.conePointUniqueUpToIso_inv_comp _ _ _
#align category_theory.limits.limit.cone_point_unique_up_to_iso_inv_comp CategoryTheory.Limits.limit.conePointUniqueUpToIso_inv_comp
theorem limit.existsUnique {F : J ⥤ C} [HasLimit F] (t : Cone F) :
∃! l : t.pt ⟶ limit F, ∀ j, l ≫ limit.π F j = t.π.app j :=
(limit.isLimit F).existsUnique _
#align category_theory.limits.limit.exists_unique CategoryTheory.Limits.limit.existsUnique
def limit.isoLimitCone {F : J ⥤ C} [HasLimit F] (t : LimitCone F) : limit F ≅ t.cone.pt :=
IsLimit.conePointUniqueUpToIso (limit.isLimit F) t.isLimit
#align category_theory.limits.limit.iso_limit_cone CategoryTheory.Limits.limit.isoLimitCone
@[reassoc (attr := simp)]
theorem limit.isoLimitCone_hom_π {F : J ⥤ C} [HasLimit F] (t : LimitCone F) (j : J) :
(limit.isoLimitCone t).hom ≫ t.cone.π.app j = limit.π F j := by
dsimp [limit.isoLimitCone, IsLimit.conePointUniqueUpToIso]
aesop_cat
#align category_theory.limits.limit.iso_limit_cone_hom_π CategoryTheory.Limits.limit.isoLimitCone_hom_π
@[reassoc (attr := simp)]
theorem limit.isoLimitCone_inv_π {F : J ⥤ C} [HasLimit F] (t : LimitCone F) (j : J) :
(limit.isoLimitCone t).inv ≫ limit.π F j = t.cone.π.app j := by
dsimp [limit.isoLimitCone, IsLimit.conePointUniqueUpToIso]
aesop_cat
#align category_theory.limits.limit.iso_limit_cone_inv_π CategoryTheory.Limits.limit.isoLimitCone_inv_π
@[ext]
theorem limit.hom_ext {F : J ⥤ C} [HasLimit F] {X : C} {f f' : X ⟶ limit F}
(w : ∀ j, f ≫ limit.π F j = f' ≫ limit.π F j) : f = f' :=
(limit.isLimit F).hom_ext w
#align category_theory.limits.limit.hom_ext CategoryTheory.Limits.limit.hom_ext
@[simp]
theorem limit.lift_map {F G : J ⥤ C} [HasLimit F] [HasLimit G] (c : Cone F) (α : F ⟶ G) :
limit.lift F c ≫ limMap α = limit.lift G ((Cones.postcompose α).obj c) := by
ext
rw [assoc, limMap_π, limit.lift_π_assoc, limit.lift_π]
rfl
#align category_theory.limits.limit.lift_map CategoryTheory.Limits.limit.lift_map
@[simp]
theorem limit.lift_cone {F : J ⥤ C} [HasLimit F] : limit.lift F (limit.cone F) = 𝟙 (limit F) :=
(limit.isLimit _).lift_self
#align category_theory.limits.limit.lift_cone CategoryTheory.Limits.limit.lift_cone
def limit.homIso (F : J ⥤ C) [HasLimit F] (W : C) :
ULift.{u₁} (W ⟶ limit F : Type v) ≅ F.cones.obj (op W) :=
(limit.isLimit F).homIso W
#align category_theory.limits.limit.hom_iso CategoryTheory.Limits.limit.homIso
@[simp]
theorem limit.homIso_hom (F : J ⥤ C) [HasLimit F] {W : C} (f : ULift (W ⟶ limit F)) :
(limit.homIso F W).hom f = (const J).map f.down ≫ (limit.cone F).π :=
(limit.isLimit F).homIso_hom f
#align category_theory.limits.limit.hom_iso_hom CategoryTheory.Limits.limit.homIso_hom
def limit.homIso' (F : J ⥤ C) [HasLimit F] (W : C) :
ULift.{u₁} (W ⟶ limit F : Type v) ≅
{ p : ∀ j, W ⟶ F.obj j // ∀ {j j' : J} (f : j ⟶ j'), p j ≫ F.map f = p j' } :=
(limit.isLimit F).homIso' W
#align category_theory.limits.limit.hom_iso' CategoryTheory.Limits.limit.homIso'
theorem limit.lift_extend {F : J ⥤ C} [HasLimit F] (c : Cone F) {X : C} (f : X ⟶ c.pt) :
limit.lift F (c.extend f) = f ≫ limit.lift F c := by aesop_cat
#align category_theory.limits.limit.lift_extend CategoryTheory.Limits.limit.lift_extend
theorem hasLimitOfIso {F G : J ⥤ C} [HasLimit F] (α : F ≅ G) : HasLimit G :=
HasLimit.mk
{ cone := (Cones.postcompose α.hom).obj (limit.cone F)
isLimit := (IsLimit.postcomposeHomEquiv _ _).symm (limit.isLimit F) }
#align category_theory.limits.has_limit_of_iso CategoryTheory.Limits.hasLimitOfIso
-- See the construction of limits from products and equalizers
-- for an example usage.
theorem HasLimit.ofConesIso {J K : Type u₁} [Category.{v₁} J] [Category.{v₂} K] (F : J ⥤ C)
(G : K ⥤ C) (h : F.cones ≅ G.cones) [HasLimit F] : HasLimit G :=
HasLimit.mk ⟨_, IsLimit.ofNatIso (IsLimit.natIso (limit.isLimit F) ≪≫ h)⟩
#align category_theory.limits.has_limit.of_cones_iso CategoryTheory.Limits.HasLimit.ofConesIso
def HasLimit.isoOfNatIso {F G : J ⥤ C} [HasLimit F] [HasLimit G] (w : F ≅ G) : limit F ≅ limit G :=
IsLimit.conePointsIsoOfNatIso (limit.isLimit F) (limit.isLimit G) w
#align category_theory.limits.has_limit.iso_of_nat_iso CategoryTheory.Limits.HasLimit.isoOfNatIso
@[reassoc (attr := simp)]
theorem HasLimit.isoOfNatIso_hom_π {F G : J ⥤ C} [HasLimit F] [HasLimit G] (w : F ≅ G) (j : J) :
(HasLimit.isoOfNatIso w).hom ≫ limit.π G j = limit.π F j ≫ w.hom.app j :=
IsLimit.conePointsIsoOfNatIso_hom_comp _ _ _ _
#align category_theory.limits.has_limit.iso_of_nat_iso_hom_π CategoryTheory.Limits.HasLimit.isoOfNatIso_hom_π
@[reassoc (attr := simp)]
theorem HasLimit.isoOfNatIso_inv_π {F G : J ⥤ C} [HasLimit F] [HasLimit G] (w : F ≅ G) (j : J) :
(HasLimit.isoOfNatIso w).inv ≫ limit.π F j = limit.π G j ≫ w.inv.app j :=
IsLimit.conePointsIsoOfNatIso_inv_comp _ _ _ _
#align category_theory.limits.has_limit.iso_of_nat_iso_inv_π CategoryTheory.Limits.HasLimit.isoOfNatIso_inv_π
@[reassoc (attr := simp)]
theorem HasLimit.lift_isoOfNatIso_hom {F G : J ⥤ C} [HasLimit F] [HasLimit G] (t : Cone F)
(w : F ≅ G) :
limit.lift F t ≫ (HasLimit.isoOfNatIso w).hom =
limit.lift G ((Cones.postcompose w.hom).obj _) :=
IsLimit.lift_comp_conePointsIsoOfNatIso_hom _ _ _
#align category_theory.limits.has_limit.lift_iso_of_nat_iso_hom CategoryTheory.Limits.HasLimit.lift_isoOfNatIso_hom
@[reassoc (attr := simp)]
theorem HasLimit.lift_isoOfNatIso_inv {F G : J ⥤ C} [HasLimit F] [HasLimit G] (t : Cone G)
(w : F ≅ G) :
limit.lift G t ≫ (HasLimit.isoOfNatIso w).inv =
limit.lift F ((Cones.postcompose w.inv).obj _) :=
IsLimit.lift_comp_conePointsIsoOfNatIso_inv _ _ _
#align category_theory.limits.has_limit.lift_iso_of_nat_iso_inv CategoryTheory.Limits.HasLimit.lift_isoOfNatIso_inv
def HasLimit.isoOfEquivalence {F : J ⥤ C} [HasLimit F] {G : K ⥤ C} [HasLimit G] (e : J ≌ K)
(w : e.functor ⋙ G ≅ F) : limit F ≅ limit G :=
IsLimit.conePointsIsoOfEquivalence (limit.isLimit F) (limit.isLimit G) e w
#align category_theory.limits.has_limit.iso_of_equivalence CategoryTheory.Limits.HasLimit.isoOfEquivalence
@[simp]
theorem HasLimit.isoOfEquivalence_hom_π {F : J ⥤ C} [HasLimit F] {G : K ⥤ C} [HasLimit G]
(e : J ≌ K) (w : e.functor ⋙ G ≅ F) (k : K) :
(HasLimit.isoOfEquivalence e w).hom ≫ limit.π G k =
limit.π F (e.inverse.obj k) ≫ w.inv.app (e.inverse.obj k) ≫ G.map (e.counit.app k) := by
simp only [HasLimit.isoOfEquivalence, IsLimit.conePointsIsoOfEquivalence_hom]
dsimp
simp
#align category_theory.limits.has_limit.iso_of_equivalence_hom_π CategoryTheory.Limits.HasLimit.isoOfEquivalence_hom_π
@[simp]
theorem HasLimit.isoOfEquivalence_inv_π {F : J ⥤ C} [HasLimit F] {G : K ⥤ C} [HasLimit G]
(e : J ≌ K) (w : e.functor ⋙ G ≅ F) (j : J) :
(HasLimit.isoOfEquivalence e w).inv ≫ limit.π F j =
limit.π G (e.functor.obj j) ≫ w.hom.app j := by
simp only [HasLimit.isoOfEquivalence, IsLimit.conePointsIsoOfEquivalence_hom]
dsimp
simp
#align category_theory.limits.has_limit.iso_of_equivalence_inv_π CategoryTheory.Limits.HasLimit.isoOfEquivalence_inv_π
section Pre
variable (F) [HasLimit F] (E : K ⥤ J) [HasLimit (E ⋙ F)]
def limit.pre : limit F ⟶ limit (E ⋙ F) :=
limit.lift (E ⋙ F) ((limit.cone F).whisker E)
#align category_theory.limits.limit.pre CategoryTheory.Limits.limit.pre
@[reassoc (attr := simp)]
theorem limit.pre_π (k : K) : limit.pre F E ≫ limit.π (E ⋙ F) k = limit.π F (E.obj k) := by
erw [IsLimit.fac]
rfl
#align category_theory.limits.limit.pre_π CategoryTheory.Limits.limit.pre_π
@[simp]
theorem limit.lift_pre (c : Cone F) :
limit.lift F c ≫ limit.pre F E = limit.lift (E ⋙ F) (c.whisker E) := by ext; simp
#align category_theory.limits.limit.lift_pre CategoryTheory.Limits.limit.lift_pre
variable {L : Type u₃} [Category.{v₃} L]
variable (D : L ⥤ K) [HasLimit (D ⋙ E ⋙ F)]
@[simp]
theorem limit.pre_pre [h : HasLimit (D ⋙ E ⋙ F)] : haveI : HasLimit ((D ⋙ E) ⋙ F) := h;
limit.pre F E ≫ limit.pre (E ⋙ F) D = limit.pre F (D ⋙ E) := by
haveI : HasLimit ((D ⋙ E) ⋙ F) := h
ext j; erw [assoc, limit.pre_π, limit.pre_π, limit.pre_π]; rfl
#align category_theory.limits.limit.pre_pre CategoryTheory.Limits.limit.pre_pre
variable {E F}
| Mathlib/CategoryTheory/Limits/HasLimits.lean | 430 | 432 | theorem limit.pre_eq (s : LimitCone (E ⋙ F)) (t : LimitCone F) :
limit.pre F E = (limit.isoLimitCone t).hom ≫ s.isLimit.lift (t.cone.whisker E) ≫
(limit.isoLimitCone s).inv := by | aesop_cat
|
import Mathlib.Analysis.Complex.Isometry
import Mathlib.Analysis.NormedSpace.ConformalLinearMap
import Mathlib.Analysis.NormedSpace.FiniteDimension
#align_import analysis.complex.conformal from "leanprover-community/mathlib"@"468b141b14016d54b479eb7a0fff1e360b7e3cf6"
noncomputable section
open Complex ContinuousLinearMap ComplexConjugate
theorem isConformalMap_conj : IsConformalMap (conjLIE : ℂ →L[ℝ] ℂ) :=
conjLIE.toLinearIsometry.isConformalMap
#align is_conformal_map_conj isConformalMap_conj
section ConformalIntoComplexNormed
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedSpace ℂ E] {z : ℂ}
{g : ℂ →L[ℝ] E} {f : ℂ → E}
| Mathlib/Analysis/Complex/Conformal.lean | 49 | 62 | theorem isConformalMap_complex_linear {map : ℂ →L[ℂ] E} (nonzero : map ≠ 0) :
IsConformalMap (map.restrictScalars ℝ) := by |
have minor₁ : ‖map 1‖ ≠ 0 := by simpa only [ext_ring_iff, Ne, norm_eq_zero] using nonzero
refine ⟨‖map 1‖, minor₁, ⟨‖map 1‖⁻¹ • ((map : ℂ →ₗ[ℂ] E) : ℂ →ₗ[ℝ] E), ?_⟩, ?_⟩
· intro x
simp only [LinearMap.smul_apply]
have : x = x • (1 : ℂ) := by rw [smul_eq_mul, mul_one]
nth_rw 1 [this]
rw [LinearMap.coe_restrictScalars]
simp only [map.coe_coe, map.map_smul, norm_smul, norm_inv, norm_norm]
field_simp only [one_mul]
· ext1
-- porting note (#10745): was `simp`; explicitly supplied simp lemma
simp [smul_inv_smul₀ minor₁]
|
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
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')
theorem Pairwise.and (hR : Pairwise R l) (hS : Pairwise S l) :
l.Pairwise fun a b => R a b ∧ S a b := by
induction hR with
| nil => simp only [Pairwise.nil]
| cons R1 _ IH =>
simp only [Pairwise.nil, pairwise_cons] at hS ⊢
exact ⟨fun b bl => ⟨R1 b bl, hS.1 b bl⟩, IH hS.2⟩
theorem pairwise_and_iff : l.Pairwise (fun a b => R a b ∧ S a b) ↔ Pairwise R l ∧ Pairwise S l :=
⟨fun h => ⟨h.imp fun h => h.1, h.imp fun h => h.2⟩, fun ⟨hR, hS⟩ => hR.and hS⟩
theorem Pairwise.imp₂ (H : ∀ a b, R a b → S a b → T a b)
(hR : Pairwise R l) (hS : l.Pairwise S) : l.Pairwise T :=
(hR.and hS).imp fun ⟨h₁, h₂⟩ => H _ _ h₁ h₂
theorem Pairwise.iff_of_mem {S : α → α → Prop} {l : List α}
(H : ∀ {a b}, a ∈ l → b ∈ l → (R a b ↔ S a b)) : Pairwise R l ↔ Pairwise S l :=
⟨Pairwise.imp_of_mem fun m m' => (H m m').1, Pairwise.imp_of_mem fun m m' => (H m m').2⟩
theorem Pairwise.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {l : List α} :
Pairwise R l ↔ Pairwise S l :=
Pairwise.iff_of_mem fun _ _ => H ..
theorem pairwise_of_forall {l : List α} (H : ∀ x y, R x y) : Pairwise R l := by
induction l <;> simp [*]
theorem Pairwise.and_mem {l : List α} :
Pairwise R l ↔ Pairwise (fun x y => x ∈ l ∧ y ∈ l ∧ R x y) l :=
Pairwise.iff_of_mem <| by simp (config := { contextual := true })
theorem Pairwise.imp_mem {l : List α} :
Pairwise R l ↔ Pairwise (fun x y => x ∈ l → y ∈ l → R x y) l :=
Pairwise.iff_of_mem <| by simp (config := { contextual := true })
theorem Pairwise.forall_of_forall_of_flip (h₁ : ∀ x ∈ l, R x x) (h₂ : Pairwise R l)
(h₃ : l.Pairwise (flip R)) : ∀ ⦃x⦄, x ∈ l → ∀ ⦃y⦄, y ∈ l → R x y := by
induction l with
| nil => exact forall_mem_nil _
| cons a l ih =>
rw [pairwise_cons] at h₂ h₃
simp only [mem_cons]
rintro x (rfl | hx) y (rfl | hy)
· exact h₁ _ (l.mem_cons_self _)
· exact h₂.1 _ hy
· exact h₃.1 _ hx
· exact ih (fun x hx => h₁ _ <| mem_cons_of_mem _ hx) h₂.2 h₃.2 hx hy
theorem pairwise_singleton (R) (a : α) : Pairwise R [a] := by simp
theorem pairwise_pair {a b : α} : Pairwise R [a, b] ↔ R a b := by simp
theorem pairwise_append_comm {R : α → α → Prop} (s : ∀ {x y}, R x y → R y x) {l₁ l₂ : List α} :
Pairwise R (l₁ ++ l₂) ↔ Pairwise R (l₂ ++ l₁) := by
have (l₁ l₂ : List α) (H : ∀ x : α, x ∈ l₁ → ∀ y : α, y ∈ l₂ → R x y)
(x : α) (xm : x ∈ l₂) (y : α) (ym : y ∈ l₁) : R x y := s (H y ym x xm)
simp only [pairwise_append, and_left_comm]; rw [Iff.intro (this l₁ l₂) (this l₂ l₁)]
theorem pairwise_middle {R : α → α → Prop} (s : ∀ {x y}, R x y → R y x) {a : α} {l₁ l₂ : List α} :
Pairwise R (l₁ ++ a :: l₂) ↔ Pairwise R (a :: (l₁ ++ l₂)) := by
show Pairwise R (l₁ ++ ([a] ++ l₂)) ↔ Pairwise R ([a] ++ l₁ ++ l₂)
rw [← append_assoc, pairwise_append, @pairwise_append _ _ ([a] ++ l₁), pairwise_append_comm s]
simp only [mem_append, or_comm]
theorem Pairwise.of_map {S : β → β → Prop} (f : α → β) (H : ∀ a b : α, S (f a) (f b) → R a b)
(p : Pairwise S (map f l)) : Pairwise R l :=
(pairwise_map.1 p).imp (H _ _)
theorem Pairwise.map {S : β → β → Prop} (f : α → β) (H : ∀ a b : α, R a b → S (f a) (f b))
(p : Pairwise R l) : Pairwise S (map f l) :=
pairwise_map.2 <| p.imp (H _ _)
theorem pairwise_filterMap (f : β → Option α) {l : List β} :
Pairwise R (filterMap f l) ↔ Pairwise (fun a a' : β => ∀ b ∈ f a, ∀ b' ∈ f a', R b b') l := by
let _S (a a' : β) := ∀ b ∈ f a, ∀ b' ∈ f a', R b b'
simp only [Option.mem_def]
induction l with
| nil => simp only [filterMap, Pairwise.nil]
| cons a l IH => ?_
match e : f a with
| none =>
rw [filterMap_cons_none _ _ e, pairwise_cons]
simp only [e, false_implies, implies_true, true_and, IH]
| some b =>
rw [filterMap_cons_some _ _ _ e]
simpa [IH, e] using fun _ =>
⟨fun h a ha b hab => h _ _ ha hab, fun h a b ha hab => h _ ha _ hab⟩
theorem Pairwise.filter_map {S : β → β → Prop} (f : α → Option β)
(H : ∀ a a' : α, R a a' → ∀ b ∈ f a, ∀ b' ∈ f a', S b b') {l : List α} (p : Pairwise R l) :
Pairwise S (filterMap f l) :=
(pairwise_filterMap _).2 <| p.imp (H _ _)
theorem pairwise_filter (p : α → Prop) [DecidablePred p] {l : List α} :
Pairwise R (filter p l) ↔ Pairwise (fun x y => p x → p y → R x y) l := by
rw [← filterMap_eq_filter, pairwise_filterMap]
simp
theorem Pairwise.filter (p : α → Bool) : Pairwise R l → Pairwise R (filter p l) :=
Pairwise.sublist (filter_sublist _)
theorem pairwise_join {L : List (List α)} :
Pairwise R (join L) ↔
(∀ l ∈ L, Pairwise R l) ∧ Pairwise (fun l₁ l₂ => ∀ x ∈ l₁, ∀ y ∈ l₂, R x y) L := by
induction L with
| nil => simp
| cons l L IH =>
simp only [join, pairwise_append, IH, mem_join, exists_imp, and_imp, forall_mem_cons,
pairwise_cons, and_assoc, and_congr_right_iff]
rw [and_comm, and_congr_left_iff]
intros; exact ⟨fun h a b c d e => h c d e a b, fun h c d e a b => h a b c d e⟩
theorem pairwise_bind {R : β → β → Prop} {l : List α} {f : α → List β} :
List.Pairwise R (l.bind f) ↔
(∀ a ∈ l, Pairwise R (f a)) ∧ Pairwise (fun a₁ a₂ => ∀ x ∈ f a₁, ∀ y ∈ f a₂, R x y) l := by
simp [List.bind, pairwise_join, pairwise_map]
theorem pairwise_iff_forall_sublist : l.Pairwise R ↔ (∀ {a b}, [a,b] <+ l → R a b) := by
induction l with
| nil => simp
| cons hd tl IH =>
rw [List.pairwise_cons]
constructor <;> intro h
· intro
| a, b, .cons _ hab => exact IH.mp h.2 hab
| _, b, .cons₂ _ hab => refine h.1 _ (hab.subset ?_); simp
· constructor
· intro x hx
apply h
rw [List.cons_sublist_cons, List.singleton_sublist]
exact hx
· apply IH.mpr
intro a b hab
apply h; exact hab.cons _
@[deprecated pairwise_iff_forall_sublist]
| .lake/packages/batteries/Batteries/Data/List/Pairwise.lean | 192 | 201 | theorem pairwise_of_reflexive_on_dupl_of_forall_ne [DecidableEq α] {l : List α} {r : α → α → Prop}
(hr : ∀ a, 1 < count a l → r a a) (h : ∀ a ∈ l, ∀ b ∈ l, a ≠ b → r a b) : l.Pairwise r := by |
apply pairwise_iff_forall_sublist.mpr
intro a b hab
if heq : a = b then
cases heq; apply hr
rwa [show [a,a] = replicate 2 a from rfl, ← le_count_iff_replicate_sublist] at hab
else
apply h <;> try (apply hab.subset; simp)
exact heq
|
import Mathlib.Data.Vector.Basic
import Mathlib.Data.Vector.Snoc
set_option autoImplicit true
namespace Vector
section Fold
section Bisim
variable {xs : Vector α n}
theorem mapAccumr_bisim {f₁ : α → σ₁ → σ₁ × β} {f₂ : α → σ₂ → σ₂ × β} {s₁ : σ₁} {s₂ : σ₂}
(R : σ₁ → σ₂ → Prop) (h₀ : R s₁ s₂)
(hR : ∀ {s q} a, R s q → R (f₁ a s).1 (f₂ a q).1 ∧ (f₁ a s).2 = (f₂ a q).2) :
R (mapAccumr f₁ xs s₁).fst (mapAccumr f₂ xs s₂).fst
∧ (mapAccumr f₁ xs s₁).snd = (mapAccumr f₂ xs s₂).snd := by
induction xs using Vector.revInductionOn generalizing s₁ s₂
next => exact ⟨h₀, rfl⟩
next xs x ih =>
rcases (hR x h₀) with ⟨hR, _⟩
simp only [mapAccumr_snoc, ih hR, true_and]
congr 1
theorem mapAccumr_bisim_tail {f₁ : α → σ₁ → σ₁ × β} {f₂ : α → σ₂ → σ₂ × β} {s₁ : σ₁} {s₂ : σ₂}
(h : ∃ R : σ₁ → σ₂ → Prop, R s₁ s₂ ∧
∀ {s q} a, R s q → R (f₁ a s).1 (f₂ a q).1 ∧ (f₁ a s).2 = (f₂ a q).2) :
(mapAccumr f₁ xs s₁).snd = (mapAccumr f₂ xs s₂).snd := by
rcases h with ⟨R, h₀, hR⟩
exact (mapAccumr_bisim R h₀ hR).2
theorem mapAccumr₂_bisim {ys : Vector β n} {f₁ : α → β → σ₁ → σ₁ × γ}
{f₂ : α → β → σ₂ → σ₂ × γ} {s₁ : σ₁} {s₂ : σ₂}
(R : σ₁ → σ₂ → Prop) (h₀ : R s₁ s₂)
(hR : ∀ {s q} a b, R s q → R (f₁ a b s).1 (f₂ a b q).1 ∧ (f₁ a b s).2 = (f₂ a b q).2) :
R (mapAccumr₂ f₁ xs ys s₁).1 (mapAccumr₂ f₂ xs ys s₂).1
∧ (mapAccumr₂ f₁ xs ys s₁).2 = (mapAccumr₂ f₂ xs ys s₂).2 := by
induction xs, ys using Vector.revInductionOn₂ generalizing s₁ s₂
next => exact ⟨h₀, rfl⟩
next xs ys x y ih =>
rcases (hR x y h₀) with ⟨hR, _⟩
simp only [mapAccumr₂_snoc, ih hR, true_and]
congr 1
| Mathlib/Data/Vector/MapLemmas.lean | 205 | 211 | theorem mapAccumr₂_bisim_tail {ys : Vector β n} {f₁ : α → β → σ₁ → σ₁ × γ}
{f₂ : α → β → σ₂ → σ₂ × γ} {s₁ : σ₁} {s₂ : σ₂}
(h : ∃ R : σ₁ → σ₂ → Prop, R s₁ s₂ ∧
∀ {s q} a b, R s q → R (f₁ a b s).1 (f₂ a b q).1 ∧ (f₁ a b s).2 = (f₂ a b q).2) :
(mapAccumr₂ f₁ xs ys s₁).2 = (mapAccumr₂ f₂ xs ys s₂).2 := by |
rcases h with ⟨R, h₀, hR⟩
exact (mapAccumr₂_bisim R h₀ hR).2
|
import Mathlib.AlgebraicGeometry.Morphisms.QuasiCompact
import Mathlib.Topology.QuasiSeparated
#align_import algebraic_geometry.morphisms.quasi_separated from "leanprover-community/mathlib"@"1a51edf13debfcbe223fa06b1cb353b9ed9751cc"
noncomputable section
open CategoryTheory CategoryTheory.Limits Opposite TopologicalSpace
universe u
open scoped AlgebraicGeometry
namespace AlgebraicGeometry
variable {X Y : Scheme.{u}} (f : X ⟶ Y)
@[mk_iff]
class QuasiSeparated (f : X ⟶ Y) : Prop where
diagonalQuasiCompact : QuasiCompact (pullback.diagonal f) := by infer_instance
#align algebraic_geometry.quasi_separated AlgebraicGeometry.QuasiSeparated
def QuasiSeparated.affineProperty : AffineTargetMorphismProperty := fun X _ _ _ =>
QuasiSeparatedSpace X.carrier
#align algebraic_geometry.quasi_separated.affine_property AlgebraicGeometry.QuasiSeparated.affineProperty
theorem quasiSeparatedSpace_iff_affine (X : Scheme) :
QuasiSeparatedSpace X.carrier ↔ ∀ U V : X.affineOpens, IsCompact (U ∩ V : Set X.carrier) := by
rw [quasiSeparatedSpace_iff]
constructor
· intro H U V; exact H U V U.1.2 U.2.isCompact V.1.2 V.2.isCompact
· intro H
suffices
∀ (U : Opens X.carrier) (_ : IsCompact U.1) (V : Opens X.carrier) (_ : IsCompact V.1),
IsCompact (U ⊓ V).1
by intro U V hU hU' hV hV'; exact this ⟨U, hU⟩ hU' ⟨V, hV⟩ hV'
intro U hU V hV
-- Porting note: it complains "unable to find motive", but telling Lean that motive is
-- underscore is actually sufficient, weird
apply compact_open_induction_on (P := _) V hV
· simp
· intro S _ V hV
change IsCompact (U.1 ∩ (S.1 ∪ V.1))
rw [Set.inter_union_distrib_left]
apply hV.union
clear hV
apply compact_open_induction_on (P := _) U hU
· simp
· intro S _ W hW
change IsCompact ((S.1 ∪ W.1) ∩ V.1)
rw [Set.union_inter_distrib_right]
apply hW.union
apply H
#align algebraic_geometry.quasi_separated_space_iff_affine AlgebraicGeometry.quasiSeparatedSpace_iff_affine
theorem quasi_compact_affineProperty_iff_quasiSeparatedSpace {X Y : Scheme} [IsAffine Y]
(f : X ⟶ Y) : QuasiCompact.affineProperty.diagonal f ↔ QuasiSeparatedSpace X.carrier := by
delta AffineTargetMorphismProperty.diagonal
rw [quasiSeparatedSpace_iff_affine]
constructor
· intro H U V
haveI : IsAffine _ := U.2
haveI : IsAffine _ := V.2
let g : pullback (X.ofRestrict U.1.openEmbedding) (X.ofRestrict V.1.openEmbedding) ⟶ X :=
pullback.fst ≫ X.ofRestrict _
-- Porting note: `inferInstance` does not work here
have : IsOpenImmersion g := PresheafedSpace.IsOpenImmersion.comp _ _
have e := Homeomorph.ofEmbedding _ this.base_open.toEmbedding
rw [IsOpenImmersion.range_pullback_to_base_of_left] at e
erw [Subtype.range_coe, Subtype.range_coe] at e
rw [isCompact_iff_compactSpace]
exact @Homeomorph.compactSpace _ _ _ _ (H _ _) e
· introv H h₁ h₂
let g : pullback f₁ f₂ ⟶ X := pullback.fst ≫ f₁
-- Porting note: `inferInstance` does not work here
have : IsOpenImmersion g := PresheafedSpace.IsOpenImmersion.comp _ _
have e := Homeomorph.ofEmbedding _ this.base_open.toEmbedding
rw [IsOpenImmersion.range_pullback_to_base_of_left] at e
simp_rw [isCompact_iff_compactSpace] at H
exact
@Homeomorph.compactSpace _ _ _ _
(H ⟨⟨_, h₁.base_open.isOpen_range⟩, rangeIsAffineOpenOfOpenImmersion _⟩
⟨⟨_, h₂.base_open.isOpen_range⟩, rangeIsAffineOpenOfOpenImmersion _⟩)
e.symm
#align algebraic_geometry.quasi_compact_affine_property_iff_quasi_separated_space AlgebraicGeometry.quasi_compact_affineProperty_iff_quasiSeparatedSpace
theorem quasiSeparated_eq_diagonal_is_quasiCompact :
@QuasiSeparated = MorphismProperty.diagonal @QuasiCompact := by ext; exact quasiSeparated_iff _
#align algebraic_geometry.quasi_separated_eq_diagonal_is_quasi_compact AlgebraicGeometry.quasiSeparated_eq_diagonal_is_quasiCompact
theorem quasi_compact_affineProperty_diagonal_eq :
QuasiCompact.affineProperty.diagonal = QuasiSeparated.affineProperty := by
funext; rw [quasi_compact_affineProperty_iff_quasiSeparatedSpace]; rfl
#align algebraic_geometry.quasi_compact_affine_property_diagonal_eq AlgebraicGeometry.quasi_compact_affineProperty_diagonal_eq
theorem quasiSeparated_eq_affineProperty_diagonal :
@QuasiSeparated = targetAffineLocally QuasiCompact.affineProperty.diagonal := by
rw [quasiSeparated_eq_diagonal_is_quasiCompact, quasiCompact_eq_affineProperty]
exact
diagonal_targetAffineLocally_eq_targetAffineLocally _ QuasiCompact.affineProperty_isLocal
#align algebraic_geometry.quasi_separated_eq_affine_property_diagonal AlgebraicGeometry.quasiSeparated_eq_affineProperty_diagonal
theorem quasiSeparated_eq_affineProperty :
@QuasiSeparated = targetAffineLocally QuasiSeparated.affineProperty := by
rw [quasiSeparated_eq_affineProperty_diagonal, quasi_compact_affineProperty_diagonal_eq]
#align algebraic_geometry.quasi_separated_eq_affine_property AlgebraicGeometry.quasiSeparated_eq_affineProperty
theorem QuasiSeparated.affineProperty_isLocal : QuasiSeparated.affineProperty.IsLocal :=
quasi_compact_affineProperty_diagonal_eq ▸ QuasiCompact.affineProperty_isLocal.diagonal
#align algebraic_geometry.quasi_separated.affine_property_is_local AlgebraicGeometry.QuasiSeparated.affineProperty_isLocal
instance (priority := 900) quasiSeparatedOfMono {X Y : Scheme} (f : X ⟶ Y) [Mono f] :
QuasiSeparated f where
#align algebraic_geometry.quasi_separated_of_mono AlgebraicGeometry.quasiSeparatedOfMono
instance quasiSeparated_isStableUnderComposition :
MorphismProperty.IsStableUnderComposition @QuasiSeparated :=
quasiSeparated_eq_diagonal_is_quasiCompact.symm ▸
(MorphismProperty.diagonal_isStableUnderComposition
quasiCompact_respectsIso quasiCompact_stableUnderBaseChange)
#align algebraic_geometry.quasi_separated_stable_under_composition AlgebraicGeometry.quasiSeparated_isStableUnderComposition
theorem quasiSeparated_stableUnderBaseChange :
MorphismProperty.StableUnderBaseChange @QuasiSeparated :=
quasiSeparated_eq_diagonal_is_quasiCompact.symm ▸
quasiCompact_stableUnderBaseChange.diagonal quasiCompact_respectsIso
#align algebraic_geometry.quasi_separated_stable_under_base_change AlgebraicGeometry.quasiSeparated_stableUnderBaseChange
instance quasiSeparatedComp {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [QuasiSeparated f]
[QuasiSeparated g] : QuasiSeparated (f ≫ g) :=
MorphismProperty.comp_mem _ f g inferInstance inferInstance
#align algebraic_geometry.quasi_separated_comp AlgebraicGeometry.quasiSeparatedComp
theorem quasiSeparated_respectsIso : MorphismProperty.RespectsIso @QuasiSeparated :=
quasiSeparated_eq_diagonal_is_quasiCompact.symm ▸ quasiCompact_respectsIso.diagonal
#align algebraic_geometry.quasi_separated_respects_iso AlgebraicGeometry.quasiSeparated_respectsIso
open List in
theorem QuasiSeparated.affine_openCover_TFAE {X Y : Scheme.{u}} (f : X ⟶ Y) :
TFAE
[QuasiSeparated f,
∃ (𝒰 : Scheme.OpenCover.{u} Y) (_ : ∀ i, IsAffine (𝒰.obj i)),
∀ i : 𝒰.J, QuasiSeparatedSpace (pullback f (𝒰.map i)).carrier,
∀ (𝒰 : Scheme.OpenCover.{u} Y) [∀ i, IsAffine (𝒰.obj i)] (i : 𝒰.J),
QuasiSeparatedSpace (pullback f (𝒰.map i)).carrier,
∀ {U : Scheme} (g : U ⟶ Y) [IsAffine U] [IsOpenImmersion g],
QuasiSeparatedSpace (pullback f g).carrier,
∃ (𝒰 : Scheme.OpenCover.{u} Y) (_ : ∀ i, IsAffine (𝒰.obj i)) (𝒰' :
∀ i : 𝒰.J, Scheme.OpenCover.{u} (pullback f (𝒰.map i))) (_ :
∀ i j, IsAffine ((𝒰' i).obj j)),
∀ (i : 𝒰.J) (j k : (𝒰' i).J),
CompactSpace (pullback ((𝒰' i).map j) ((𝒰' i).map k)).carrier] := by
have := QuasiCompact.affineProperty_isLocal.diagonal_affine_openCover_TFAE f
simp_rw [← quasiCompact_eq_affineProperty, ← quasiSeparated_eq_diagonal_is_quasiCompact,
quasi_compact_affineProperty_diagonal_eq] at this
exact this
#align algebraic_geometry.quasi_separated.affine_open_cover_tfae AlgebraicGeometry.QuasiSeparated.affine_openCover_TFAE
theorem QuasiSeparated.is_local_at_target : PropertyIsLocalAtTarget @QuasiSeparated :=
quasiSeparated_eq_affineProperty_diagonal.symm ▸
QuasiCompact.affineProperty_isLocal.diagonal.targetAffineLocallyIsLocal
#align algebraic_geometry.quasi_separated.is_local_at_target AlgebraicGeometry.QuasiSeparated.is_local_at_target
open List in
theorem QuasiSeparated.openCover_TFAE {X Y : Scheme.{u}} (f : X ⟶ Y) :
TFAE
[QuasiSeparated f,
∃ 𝒰 : Scheme.OpenCover.{u} Y,
∀ i : 𝒰.J, QuasiSeparated (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i),
∀ (𝒰 : Scheme.OpenCover.{u} Y) (i : 𝒰.J),
QuasiSeparated (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i),
∀ U : Opens Y.carrier, QuasiSeparated (f ∣_ U),
∀ {U : Scheme} (g : U ⟶ Y) [IsOpenImmersion g],
QuasiSeparated (pullback.snd : pullback f g ⟶ _),
∃ (ι : Type u) (U : ι → Opens Y.carrier) (_ : iSup U = ⊤),
∀ i, QuasiSeparated (f ∣_ U i)] :=
QuasiSeparated.is_local_at_target.openCover_TFAE f
#align algebraic_geometry.quasi_separated.open_cover_tfae AlgebraicGeometry.QuasiSeparated.openCover_TFAE
theorem quasiSeparated_over_affine_iff {X Y : Scheme} (f : X ⟶ Y) [IsAffine Y] :
QuasiSeparated f ↔ QuasiSeparatedSpace X.carrier := by
rw [quasiSeparated_eq_affineProperty,
QuasiSeparated.affineProperty_isLocal.affine_target_iff f, QuasiSeparated.affineProperty]
#align algebraic_geometry.quasi_separated_over_affine_iff AlgebraicGeometry.quasiSeparated_over_affine_iff
theorem quasiSeparatedSpace_iff_quasiSeparated (X : Scheme) :
QuasiSeparatedSpace X.carrier ↔ QuasiSeparated (terminal.from X) :=
(quasiSeparated_over_affine_iff _).symm
#align algebraic_geometry.quasi_separated_space_iff_quasi_separated AlgebraicGeometry.quasiSeparatedSpace_iff_quasiSeparated
theorem QuasiSeparated.affine_openCover_iff {X Y : Scheme.{u}} (𝒰 : Scheme.OpenCover.{u} Y)
[∀ i, IsAffine (𝒰.obj i)] (f : X ⟶ Y) :
QuasiSeparated f ↔ ∀ i, QuasiSeparatedSpace (pullback f (𝒰.map i)).carrier := by
rw [quasiSeparated_eq_affineProperty,
QuasiSeparated.affineProperty_isLocal.affine_openCover_iff f 𝒰]
rfl
#align algebraic_geometry.quasi_separated.affine_open_cover_iff AlgebraicGeometry.QuasiSeparated.affine_openCover_iff
theorem QuasiSeparated.openCover_iff {X Y : Scheme.{u}} (𝒰 : Scheme.OpenCover.{u} Y) (f : X ⟶ Y) :
QuasiSeparated f ↔ ∀ i, QuasiSeparated (pullback.snd : pullback f (𝒰.map i) ⟶ _) :=
QuasiSeparated.is_local_at_target.openCover_iff f 𝒰
#align algebraic_geometry.quasi_separated.open_cover_iff AlgebraicGeometry.QuasiSeparated.openCover_iff
instance {X Y S : Scheme} (f : X ⟶ S) (g : Y ⟶ S) [QuasiSeparated g] :
QuasiSeparated (pullback.fst : pullback f g ⟶ X) :=
quasiSeparated_stableUnderBaseChange.fst f g inferInstance
instance {X Y S : Scheme} (f : X ⟶ S) (g : Y ⟶ S) [QuasiSeparated f] :
QuasiSeparated (pullback.snd : pullback f g ⟶ Y) :=
quasiSeparated_stableUnderBaseChange.snd f g inferInstance
instance {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [QuasiSeparated f] [QuasiSeparated g] :
QuasiSeparated (f ≫ g) :=
MorphismProperty.comp_mem _ f g inferInstance inferInstance
theorem quasiSeparatedSpace_of_quasiSeparated {X Y : Scheme} (f : X ⟶ Y)
[hY : QuasiSeparatedSpace Y.carrier] [QuasiSeparated f] : QuasiSeparatedSpace X.carrier := by
rw [quasiSeparatedSpace_iff_quasiSeparated] at hY ⊢
have : f ≫ terminal.from Y = terminal.from X := terminalIsTerminal.hom_ext _ _
rw [← this]
infer_instance
#align algebraic_geometry.quasi_separated_space_of_quasi_separated AlgebraicGeometry.quasiSeparatedSpace_of_quasiSeparated
instance quasiSeparatedSpace_of_isAffine (X : Scheme) [IsAffine X] :
QuasiSeparatedSpace X.carrier := by
constructor
intro U V hU hU' hV hV'
obtain ⟨s, hs, e⟩ := (isCompact_open_iff_eq_basicOpen_union _).mp ⟨hU', hU⟩
obtain ⟨s', hs', e'⟩ := (isCompact_open_iff_eq_basicOpen_union _).mp ⟨hV', hV⟩
rw [e, e', Set.iUnion₂_inter]
simp_rw [Set.inter_iUnion₂]
apply hs.isCompact_biUnion
intro i _
apply hs'.isCompact_biUnion
intro i' _
change IsCompact (X.basicOpen i ⊓ X.basicOpen i').1
rw [← Scheme.basicOpen_mul]
exact ((topIsAffineOpen _).basicOpenIsAffine _).isCompact
#align algebraic_geometry.quasi_separated_space_of_is_affine AlgebraicGeometry.quasiSeparatedSpace_of_isAffine
theorem IsAffineOpen.isQuasiSeparated {X : Scheme} {U : Opens X.carrier} (hU : IsAffineOpen U) :
IsQuasiSeparated (U : Set X.carrier) := by
rw [isQuasiSeparated_iff_quasiSeparatedSpace]
exacts [@AlgebraicGeometry.quasiSeparatedSpace_of_isAffine _ hU, U.isOpen]
#align algebraic_geometry.is_affine_open.is_quasi_separated AlgebraicGeometry.IsAffineOpen.isQuasiSeparated
theorem quasiSeparatedOfComp {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [H : QuasiSeparated (f ≫ g)] :
QuasiSeparated f := by
-- Porting note: rewrite `(QuasiSeparated.affine_openCover_TFAE f).out 0 1` directly fails, but
-- give it a name works
have h01 := (QuasiSeparated.affine_openCover_TFAE f).out 0 1
rw [h01]; clear h01
-- Porting note: rewrite `(QuasiSeparated.affine_openCover_TFAE ...).out 0 2` directly fails, but
-- give it a name works
have h02 := (QuasiSeparated.affine_openCover_TFAE (f ≫ g)).out 0 2
rw [h02] at H; clear h02
refine ⟨(Z.affineCover.pullbackCover g).bind fun x => Scheme.affineCover _, ?_, ?_⟩
-- constructor
· intro i; dsimp; infer_instance
rintro ⟨i, j⟩; dsimp at i j
-- replace H := H (Scheme.OpenCover.pullbackCover (Scheme.affineCover Z) g) i
specialize H _ i
-- rw [← isQuasiSeparated_iff_quasiSeparatedSpace] at H
refine @quasiSeparatedSpace_of_quasiSeparated _ _ ?_ H ?_
· exact pullback.map _ _ _ _ (𝟙 _) _ _ (by simp) (Category.comp_id _) ≫
(pullbackRightPullbackFstIso g (Z.affineCover.map i) f).hom
· exact inferInstance
#align algebraic_geometry.quasi_separated_of_comp AlgebraicGeometry.quasiSeparatedOfComp
theorem exists_eq_pow_mul_of_isAffineOpen (X : Scheme) (U : Opens X.carrier) (hU : IsAffineOpen U)
(f : X.presheaf.obj (op U)) (x : X.presheaf.obj (op <| X.basicOpen f)) :
∃ (n : ℕ) (y : X.presheaf.obj (op U)), y |_ X.basicOpen f = (f |_ X.basicOpen f) ^ n * x := by
have := (hU.isLocalization_basicOpen f).2
obtain ⟨⟨y, _, n, rfl⟩, d⟩ := this x
use n, y
delta TopCat.Presheaf.restrictOpen TopCat.Presheaf.restrict
simpa [mul_comm x] using d.symm
#align algebraic_geometry.exists_eq_pow_mul_of_is_affine_open AlgebraicGeometry.exists_eq_pow_mul_of_isAffineOpen
theorem exists_eq_pow_mul_of_is_compact_of_quasi_separated_space_aux_aux {X : TopCat}
(F : X.Presheaf CommRingCat) {U₁ U₂ U₃ U₄ U₅ U₆ U₇ : Opens X} {n₁ n₂ : ℕ}
{y₁ : F.obj (op U₁)} {y₂ : F.obj (op U₂)} {f : F.obj (op <| U₁ ⊔ U₂)}
{x : F.obj (op U₃)} (h₄₁ : U₄ ≤ U₁) (h₄₂ : U₄ ≤ U₂) (h₅₁ : U₅ ≤ U₁) (h₅₃ : U₅ ≤ U₃)
(h₆₂ : U₆ ≤ U₂) (h₆₃ : U₆ ≤ U₃) (h₇₄ : U₇ ≤ U₄) (h₇₅ : U₇ ≤ U₅) (h₇₆ : U₇ ≤ U₆)
(e₁ : y₁ |_ U₅ = (f |_ U₁ |_ U₅) ^ n₁ * x |_ U₅)
(e₂ : y₂ |_ U₆ = (f |_ U₂ |_ U₆) ^ n₂ * x |_ U₆) :
(((f |_ U₁) ^ n₂ * y₁) |_ U₄) |_ U₇ = (((f |_ U₂) ^ n₁ * y₂) |_ U₄) |_ U₇ := by
apply_fun (fun x : F.obj (op U₅) ↦ x |_ U₇) at e₁
apply_fun (fun x : F.obj (op U₆) ↦ x |_ U₇) at e₂
dsimp only [TopCat.Presheaf.restrictOpen, TopCat.Presheaf.restrict] at e₁ e₂ ⊢
simp only [map_mul, map_pow, ← comp_apply, ← op_comp, ← F.map_comp, homOfLE_comp] at e₁ e₂ ⊢
rw [e₁, e₂, mul_left_comm]
| Mathlib/AlgebraicGeometry/Morphisms/QuasiSeparated.lean | 324 | 352 | theorem exists_eq_pow_mul_of_is_compact_of_quasi_separated_space_aux (X : Scheme)
(S : X.affineOpens) (U₁ U₂ : Opens X.carrier) {n₁ n₂ : ℕ} {y₁ : X.presheaf.obj (op U₁)}
{y₂ : X.presheaf.obj (op U₂)} {f : X.presheaf.obj (op <| U₁ ⊔ U₂)}
{x : X.presheaf.obj (op <| X.basicOpen f)} (h₁ : S.1 ≤ U₁) (h₂ : S.1 ≤ U₂)
(e₁ : y₁ |_ X.basicOpen (f |_ U₁) = ((f |_ U₁ |_ X.basicOpen _) ^ n₁) * x |_ X.basicOpen _)
(e₂ : y₂ |_ X.basicOpen (f |_ U₂) = ((f |_ U₂ |_ X.basicOpen _) ^ n₂) * x |_ X.basicOpen _) :
∃ n : ℕ, ∀ m, n ≤ m →
((f |_ U₁) ^ (m + n₂) * y₁) |_ S.1 = ((f |_ U₂) ^ (m + n₁) * y₂) |_ S.1 := by |
obtain ⟨⟨_, n, rfl⟩, e⟩ :=
(@IsLocalization.eq_iff_exists _ _ _ _ _ _
(S.2.isLocalization_basicOpen (f |_ S.1))
(((f |_ U₁) ^ n₂ * y₁) |_ S.1)
(((f |_ U₂) ^ n₁ * y₂) |_ S.1)).mp <| by
apply exists_eq_pow_mul_of_is_compact_of_quasi_separated_space_aux_aux (e₁ := e₁) (e₂ := e₂)
· show X.basicOpen _ ≤ _
simp only [TopCat.Presheaf.restrictOpen, TopCat.Presheaf.restrict]
repeat rw [Scheme.basicOpen_res] -- Note: used to be part of the `simp only`
exact inf_le_inf h₁ le_rfl
· show X.basicOpen _ ≤ _
simp only [TopCat.Presheaf.restrictOpen, TopCat.Presheaf.restrict]
repeat rw [Scheme.basicOpen_res] -- Note: used to be part of the `simp only`
exact inf_le_inf h₂ le_rfl
use n
intros m hm
rw [← tsub_add_cancel_of_le hm]
simp only [TopCat.Presheaf.restrictOpen, TopCat.Presheaf.restrict,
pow_add, map_pow, map_mul, ← comp_apply, mul_assoc, ← Functor.map_comp, ← op_comp, homOfLE_comp,
Subtype.coe_mk] at e ⊢
rw [e]
|
import Mathlib.Algebra.Group.Commute.Units
import Mathlib.Algebra.Group.Invertible.Basic
import Mathlib.Algebra.GroupWithZero.Units.Basic
import Mathlib.Data.Set.Basic
import Mathlib.Logic.Basic
#align_import group_theory.subsemigroup.center from "leanprover-community/mathlib"@"1ac8d4304efba9d03fa720d06516fac845aa5353"
variable {M : Type*}
structure IsAddCentral [Add M] (z : M) : Prop where
comm (a : M) : z + a = a + z
left_assoc (b c : M) : z + (b + c) = (z + b) + c
mid_assoc (a c : M) : (a + z) + c = a + (z + c)
right_assoc (a b : M) : (a + b) + z = a + (b + z)
@[to_additive]
structure IsMulCentral [Mul M] (z : M) : Prop where
comm (a : M) : z * a = a * z
left_assoc (b c : M) : z * (b * c) = (z * b) * c
mid_assoc (a c : M) : (a * z) * c = a * (z * c)
right_assoc (a b : M) : (a * b) * z = a * (b * z)
attribute [mk_iff] IsMulCentral IsAddCentral
attribute [to_additive existing] isMulCentral_iff
namespace Set
section Mul
variable (M) [Mul M]
@[to_additive addCenter " The center of an additive magma. "]
def center : Set M :=
{ z | IsMulCentral z }
#align set.center Set.center
#align set.add_center Set.addCenter
-- Porting note: The `to_additive` version used to be `mem_addCenter` without the iff
@[to_additive mem_addCenter_iff]
theorem mem_center_iff {z : M} : z ∈ center M ↔ IsMulCentral z :=
Iff.rfl
#align set.mem_center_iff Set.mem_center_iff
#align set.mem_add_center Set.mem_addCenter_iff
variable {M}
@[to_additive (attr := simp) add_mem_addCenter]
| Mathlib/Algebra/Group/Center.lean | 98 | 119 | theorem mul_mem_center [Mul M] {z₁ z₂ : M} (hz₁ : z₁ ∈ Set.center M) (hz₂ : z₂ ∈ Set.center M) :
z₁ * z₂ ∈ Set.center M where
comm a := calc
z₁ * z₂ * a = z₂ * z₁ * a := by | rw [hz₁.comm]
_ = z₂ * (z₁ * a) := by rw [hz₁.mid_assoc z₂]
_ = (a * z₁) * z₂ := by rw [hz₁.comm, hz₂.comm]
_ = a * (z₁ * z₂) := by rw [hz₂.right_assoc a z₁]
left_assoc (b c : M) := calc
z₁ * z₂ * (b * c) = z₁ * (z₂ * (b * c)) := by rw [hz₂.mid_assoc]
_ = z₁ * ((z₂ * b) * c) := by rw [hz₂.left_assoc]
_ = (z₁ * (z₂ * b)) * c := by rw [hz₁.left_assoc]
_ = z₁ * z₂ * b * c := by rw [hz₂.mid_assoc]
mid_assoc (a c : M) := calc
a * (z₁ * z₂) * c = ((a * z₁) * z₂) * c := by rw [hz₁.mid_assoc]
_ = (a * z₁) * (z₂ * c) := by rw [hz₂.mid_assoc]
_ = a * (z₁ * (z₂ * c)) := by rw [hz₁.mid_assoc]
_ = a * (z₁ * z₂ * c) := by rw [hz₂.mid_assoc]
right_assoc (a b : M) := calc
a * b * (z₁ * z₂) = ((a * b) * z₁) * z₂ := by rw [hz₂.right_assoc]
_ = (a * (b * z₁)) * z₂ := by rw [hz₁.right_assoc]
_ = a * ((b * z₁) * z₂) := by rw [hz₂.right_assoc]
_ = a * (b * (z₁ * z₂)) := by rw [hz₁.mid_assoc]
|
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
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
#align equiv.perm.disjoint.cycle_type Equiv.Perm.Disjoint.cycleType
@[simp] -- Porting note: new attr
theorem cycleType_inv (σ : Perm α) : σ⁻¹.cycleType = σ.cycleType :=
cycle_induction_on (P := fun τ : Perm α => τ⁻¹.cycleType = τ.cycleType) σ rfl
(fun σ hσ => by simp only [hσ.cycleType, hσ.inv.cycleType, support_inv])
fun σ τ hστ _ hσ hτ => by
simp only [mul_inv_rev, hστ.cycleType, hστ.symm.inv_left.inv_right.cycleType, hσ, hτ,
add_comm]
#align equiv.perm.cycle_type_inv Equiv.Perm.cycleType_inv
@[simp] -- Porting note: new attr
theorem cycleType_conj {σ τ : Perm α} : (τ * σ * τ⁻¹).cycleType = σ.cycleType := by
induction σ using cycle_induction_on with
| base_one => simp
| base_cycles σ hσ => rw [hσ.cycleType, hσ.conj.cycleType, card_support_conj]
| induction_disjoint σ π hd _ hσ hπ =>
rw [← conj_mul, hd.cycleType, (hd.conj _).cycleType, hσ, hπ]
#align equiv.perm.cycle_type_conj Equiv.Perm.cycleType_conj
theorem sum_cycleType (σ : Perm α) : σ.cycleType.sum = σ.support.card := by
induction σ using cycle_induction_on with
| base_one => simp
| base_cycles σ hσ => rw [hσ.cycleType, sum_coe, List.sum_singleton]
| induction_disjoint σ τ hd _ hσ hτ => rw [hd.cycleType, sum_add, hσ, hτ, hd.card_support_mul]
#align equiv.perm.sum_cycle_type Equiv.Perm.sum_cycleType
| Mathlib/GroupTheory/Perm/Cycle/Type.lean | 154 | 159 | theorem sign_of_cycleType' (σ : Perm α) :
sign σ = (σ.cycleType.map fun n => -(-1 : ℤˣ) ^ n).prod := by |
induction σ using cycle_induction_on with
| base_one => simp
| base_cycles σ hσ => simp [hσ.cycleType, hσ.sign]
| induction_disjoint σ τ hd _ hσ hτ => simp [hσ, hτ, hd.cycleType]
|
import Mathlib.Algebra.Order.Group.Nat
import Mathlib.Data.List.Rotate
import Mathlib.GroupTheory.Perm.Support
#align_import group_theory.perm.list from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
namespace List
variable {α β : Type*}
section FormPerm
variable [DecidableEq α] (l : List α)
open Equiv Equiv.Perm
def formPerm : Equiv.Perm α :=
(zipWith Equiv.swap l l.tail).prod
#align list.form_perm List.formPerm
@[simp]
theorem formPerm_nil : formPerm ([] : List α) = 1 :=
rfl
#align list.form_perm_nil List.formPerm_nil
@[simp]
theorem formPerm_singleton (x : α) : formPerm [x] = 1 :=
rfl
#align list.form_perm_singleton List.formPerm_singleton
@[simp]
theorem formPerm_cons_cons (x y : α) (l : List α) :
formPerm (x :: y :: l) = swap x y * formPerm (y :: l) :=
prod_cons
#align list.form_perm_cons_cons List.formPerm_cons_cons
theorem formPerm_pair (x y : α) : formPerm [x, y] = swap x y :=
rfl
#align list.form_perm_pair List.formPerm_pair
theorem mem_or_mem_of_zipWith_swap_prod_ne : ∀ {l l' : List α} {x : α},
(zipWith swap l l').prod x ≠ x → x ∈ l ∨ x ∈ l'
| [], _, _ => by simp
| _, [], _ => by simp
| a::l, b::l', x => fun hx ↦
if h : (zipWith swap l l').prod x = x then
(eq_or_eq_of_swap_apply_ne_self (by simpa [h] using hx)).imp
(by rintro rfl; exact .head _) (by rintro rfl; exact .head _)
else
(mem_or_mem_of_zipWith_swap_prod_ne h).imp (.tail _) (.tail _)
theorem zipWith_swap_prod_support' (l l' : List α) :
{ x | (zipWith swap l l').prod x ≠ x } ≤ l.toFinset ⊔ l'.toFinset := fun _ h ↦ by
simpa using mem_or_mem_of_zipWith_swap_prod_ne h
#align list.zip_with_swap_prod_support' List.zipWith_swap_prod_support'
| Mathlib/GroupTheory/Perm/List.lean | 88 | 92 | theorem zipWith_swap_prod_support [Fintype α] (l l' : List α) :
(zipWith swap l l').prod.support ≤ l.toFinset ⊔ l'.toFinset := by |
intro x hx
have hx' : x ∈ { x | (zipWith swap l l').prod x ≠ x } := by simpa using hx
simpa using zipWith_swap_prod_support' _ _ hx'
|
import Mathlib.Topology.UniformSpace.Basic
import Mathlib.Topology.Separation
import Mathlib.Order.Filter.CountableInter
#align_import topology.G_delta from "leanprover-community/mathlib"@"b9e46fe101fc897fb2e7edaf0bf1f09ea49eb81a"
noncomputable section
open Topology TopologicalSpace Filter Encodable Set
open scoped Uniformity
variable {X Y ι : Type*} {ι' : Sort*}
set_option linter.uppercaseLean3 false
section IsGδ
variable [TopologicalSpace X]
def IsGδ (s : Set X) : Prop :=
∃ T : Set (Set X), (∀ t ∈ T, IsOpen t) ∧ T.Countable ∧ s = ⋂₀ T
#align is_Gδ IsGδ
theorem IsOpen.isGδ {s : Set X} (h : IsOpen s) : IsGδ s :=
⟨{s}, by simp [h], countable_singleton _, (Set.sInter_singleton _).symm⟩
#align is_open.is_Gδ IsOpen.isGδ
@[simp]
protected theorem IsGδ.empty : IsGδ (∅ : Set X) :=
isOpen_empty.isGδ
#align is_Gδ_empty IsGδ.empty
@[deprecated (since := "2024-02-15")] alias isGδ_empty := IsGδ.empty
@[simp]
protected theorem IsGδ.univ : IsGδ (univ : Set X) :=
isOpen_univ.isGδ
#align is_Gδ_univ IsGδ.univ
@[deprecated (since := "2024-02-15")] alias isGδ_univ := IsGδ.univ
theorem IsGδ.biInter_of_isOpen {I : Set ι} (hI : I.Countable) {f : ι → Set X}
(hf : ∀ i ∈ I, IsOpen (f i)) : IsGδ (⋂ i ∈ I, f i) :=
⟨f '' I, by rwa [forall_mem_image], hI.image _, by rw [sInter_image]⟩
#align is_Gδ_bInter_of_open IsGδ.biInter_of_isOpen
@[deprecated (since := "2024-02-15")] alias isGδ_biInter_of_isOpen := IsGδ.biInter_of_isOpen
theorem IsGδ.iInter_of_isOpen [Countable ι'] {f : ι' → Set X} (hf : ∀ i, IsOpen (f i)) :
IsGδ (⋂ i, f i) :=
⟨range f, by rwa [forall_mem_range], countable_range _, by rw [sInter_range]⟩
#align is_Gδ_Inter_of_open IsGδ.iInter_of_isOpen
@[deprecated (since := "2024-02-15")] alias isGδ_iInter_of_isOpen := IsGδ.iInter_of_isOpen
lemma isGδ_iff_eq_iInter_nat {s : Set X} :
IsGδ s ↔ ∃ (f : ℕ → Set X), (∀ n, IsOpen (f n)) ∧ s = ⋂ n, f n := by
refine ⟨?_, ?_⟩
· rintro ⟨T, hT, T_count, rfl⟩
rcases Set.eq_empty_or_nonempty T with rfl|hT
· exact ⟨fun _n ↦ univ, fun _n ↦ isOpen_univ, by simp⟩
· obtain ⟨f, hf⟩ : ∃ (f : ℕ → Set X), T = range f := Countable.exists_eq_range T_count hT
exact ⟨f, by aesop, by simp [hf]⟩
· rintro ⟨f, hf, rfl⟩
exact .iInter_of_isOpen hf
alias ⟨IsGδ.eq_iInter_nat, _⟩ := isGδ_iff_eq_iInter_nat
protected theorem IsGδ.iInter [Countable ι'] {s : ι' → Set X} (hs : ∀ i, IsGδ (s i)) :
IsGδ (⋂ i, s i) := by
choose T hTo hTc hTs using hs
obtain rfl : s = fun i => ⋂₀ T i := funext hTs
refine ⟨⋃ i, T i, ?_, countable_iUnion hTc, (sInter_iUnion _).symm⟩
simpa [@forall_swap ι'] using hTo
#align is_Gδ_Inter IsGδ.iInter
@[deprecated] alias isGδ_iInter := IsGδ.iInter
theorem IsGδ.biInter {s : Set ι} (hs : s.Countable) {t : ∀ i ∈ s, Set X}
(ht : ∀ (i) (hi : i ∈ s), IsGδ (t i hi)) : IsGδ (⋂ i ∈ s, t i ‹_›) := by
rw [biInter_eq_iInter]
haveI := hs.to_subtype
exact .iInter fun x => ht x x.2
#align is_Gδ_bInter IsGδ.biInter
@[deprecated (since := "2024-02-15")] alias isGδ_biInter := IsGδ.biInter
theorem IsGδ.sInter {S : Set (Set X)} (h : ∀ s ∈ S, IsGδ s) (hS : S.Countable) : IsGδ (⋂₀ S) := by
simpa only [sInter_eq_biInter] using IsGδ.biInter hS h
#align is_Gδ_sInter IsGδ.sInter
@[deprecated (since := "2024-02-15")] alias isGδ_sInter := IsGδ.sInter
theorem IsGδ.inter {s t : Set X} (hs : IsGδ s) (ht : IsGδ t) : IsGδ (s ∩ t) := by
rw [inter_eq_iInter]
exact .iInter (Bool.forall_bool.2 ⟨ht, hs⟩)
#align is_Gδ.inter IsGδ.inter
theorem IsGδ.union {s t : Set X} (hs : IsGδ s) (ht : IsGδ t) : IsGδ (s ∪ t) := by
rcases hs with ⟨S, Sopen, Scount, rfl⟩
rcases ht with ⟨T, Topen, Tcount, rfl⟩
rw [sInter_union_sInter]
refine .biInter_of_isOpen (Scount.prod Tcount) ?_
rintro ⟨a, b⟩ ⟨ha, hb⟩
exact (Sopen a ha).union (Topen b hb)
#align is_Gδ.union IsGδ.union
theorem IsGδ.sUnion {S : Set (Set X)} (hS : S.Finite) (h : ∀ s ∈ S, IsGδ s) : IsGδ (⋃₀ S) := by
induction S, hS using Set.Finite.dinduction_on with
| H0 => simp
| H1 _ _ ih =>
simp only [forall_mem_insert, sUnion_insert] at *
exact h.1.union (ih h.2)
theorem IsGδ.biUnion {s : Set ι} (hs : s.Finite) {f : ι → Set X} (h : ∀ i ∈ s, IsGδ (f i)) :
IsGδ (⋃ i ∈ s, f i) := by
rw [← sUnion_image]
exact .sUnion (hs.image _) (forall_mem_image.2 h)
#align is_Gδ_bUnion IsGδ.biUnion
@[deprecated (since := "2024-02-15")]
alias isGδ_biUnion := IsGδ.biUnion
theorem IsGδ.iUnion [Finite ι'] {f : ι' → Set X} (h : ∀ i, IsGδ (f i)) : IsGδ (⋃ i, f i) :=
.sUnion (finite_range _) <| forall_mem_range.2 h
theorem IsClosed.isGδ {X : Type*} [UniformSpace X] [IsCountablyGenerated (𝓤 X)] {s : Set X}
(hs : IsClosed s) : IsGδ s := by
rcases (@uniformity_hasBasis_open X _).exists_antitone_subbasis with ⟨U, hUo, hU, -⟩
rw [← hs.closure_eq, ← hU.biInter_biUnion_ball]
refine .biInter (to_countable _) fun n _ => IsOpen.isGδ ?_
exact isOpen_biUnion fun x _ => UniformSpace.isOpen_ball _ (hUo _).2
#align is_closed.is_Gδ IsClosed.isGδ
section T1Space
variable [T1Space X]
theorem IsGδ.compl_singleton (x : X) : IsGδ ({x}ᶜ : Set X) :=
isOpen_compl_singleton.isGδ
#align is_Gδ_compl_singleton IsGδ.compl_singleton
@[deprecated (since := "2024-02-15")] alias isGδ_compl_singleton := IsGδ.compl_singleton
| Mathlib/Topology/GDelta.lean | 191 | 193 | theorem Set.Countable.isGδ_compl {s : Set X} (hs : s.Countable) : IsGδ sᶜ := by |
rw [← biUnion_of_singleton s, compl_iUnion₂]
exact .biInter hs fun x _ => .compl_singleton x
|
import Mathlib.Analysis.SpecialFunctions.Gamma.Beta
import Mathlib.NumberTheory.LSeries.HurwitzZeta
import Mathlib.Analysis.Complex.RemovableSingularity
import Mathlib.Analysis.PSeriesComplex
#align_import number_theory.zeta_function from "leanprover-community/mathlib"@"57f9349f2fe19d2de7207e99b0341808d977cdcf"
open MeasureTheory Set Filter Asymptotics TopologicalSpace Real Asymptotics
Classical HurwitzZeta
open Complex hiding exp norm_eq_abs abs_of_nonneg abs_two continuous_exp
open scoped Topology Real Nat
noncomputable section
def completedRiemannZeta₀ (s : ℂ) : ℂ := completedHurwitzZetaEven₀ 0 s
#align riemann_completed_zeta₀ completedRiemannZeta₀
def completedRiemannZeta (s : ℂ) : ℂ := completedHurwitzZetaEven 0 s
#align riemann_completed_zeta completedRiemannZeta
lemma HurwitzZeta.completedHurwitzZetaEven_zero (s : ℂ) :
completedHurwitzZetaEven 0 s = completedRiemannZeta s := rfl
lemma HurwitzZeta.completedHurwitzZetaEven₀_zero (s : ℂ) :
completedHurwitzZetaEven₀ 0 s = completedRiemannZeta₀ s := rfl
lemma HurwitzZeta.completedCosZeta_zero (s : ℂ) :
completedCosZeta 0 s = completedRiemannZeta s := by
rw [completedRiemannZeta, completedHurwitzZetaEven, completedCosZeta, hurwitzEvenFEPair_zero_symm]
lemma HurwitzZeta.completedCosZeta₀_zero (s : ℂ) :
completedCosZeta₀ 0 s = completedRiemannZeta₀ s := by
rw [completedRiemannZeta₀, completedHurwitzZetaEven₀, completedCosZeta₀,
hurwitzEvenFEPair_zero_symm]
lemma completedRiemannZeta_eq (s : ℂ) :
completedRiemannZeta s = completedRiemannZeta₀ s - 1 / s - 1 / (1 - s) := by
simp_rw [completedRiemannZeta, completedRiemannZeta₀, completedHurwitzZetaEven_eq, if_true]
theorem differentiable_completedZeta₀ : Differentiable ℂ completedRiemannZeta₀ :=
differentiable_completedHurwitzZetaEven₀ 0
#align differentiable_completed_zeta₀ differentiable_completedZeta₀
theorem differentiableAt_completedZeta {s : ℂ} (hs : s ≠ 0) (hs' : s ≠ 1) :
DifferentiableAt ℂ completedRiemannZeta s :=
differentiableAt_completedHurwitzZetaEven 0 (Or.inl hs) hs'
theorem completedRiemannZeta₀_one_sub (s : ℂ) :
completedRiemannZeta₀ (1 - s) = completedRiemannZeta₀ s := by
rw [← completedHurwitzZetaEven₀_zero, ← completedCosZeta₀_zero, completedHurwitzZetaEven₀_one_sub]
#align riemann_completed_zeta₀_one_sub completedRiemannZeta₀_one_sub
theorem completedRiemannZeta_one_sub (s : ℂ) :
completedRiemannZeta (1 - s) = completedRiemannZeta s := by
rw [← completedHurwitzZetaEven_zero, ← completedCosZeta_zero, completedHurwitzZetaEven_one_sub]
#align riemann_completed_zeta_one_sub completedRiemannZeta_one_sub
lemma completedRiemannZeta_residue_one :
Tendsto (fun s ↦ (s - 1) * completedRiemannZeta s) (𝓝[≠] 1) (𝓝 1) :=
completedHurwitzZetaEven_residue_one 0
def riemannZeta := hurwitzZetaEven 0
#align riemann_zeta riemannZeta
lemma HurwitzZeta.hurwitzZetaEven_zero : hurwitzZetaEven 0 = riemannZeta := rfl
lemma HurwitzZeta.cosZeta_zero : cosZeta 0 = riemannZeta := by
simp_rw [cosZeta, riemannZeta, hurwitzZetaEven, if_true, completedHurwitzZetaEven_zero,
completedCosZeta_zero]
lemma HurwitzZeta.hurwitzZeta_zero : hurwitzZeta 0 = riemannZeta := by
ext1 s
simpa [hurwitzZeta, hurwitzZetaEven_zero] using hurwitzZetaOdd_neg 0 s
lemma HurwitzZeta.expZeta_zero : expZeta 0 = riemannZeta := by
ext1 s
rw [expZeta, cosZeta_zero, add_right_eq_self, mul_eq_zero, eq_false_intro I_ne_zero, false_or,
← eq_neg_self_iff, ← sinZeta_neg, neg_zero]
theorem differentiableAt_riemannZeta {s : ℂ} (hs' : s ≠ 1) : DifferentiableAt ℂ riemannZeta s :=
differentiableAt_hurwitzZetaEven _ hs'
#align differentiable_at_riemann_zeta differentiableAt_riemannZeta
theorem riemannZeta_zero : riemannZeta 0 = -1 / 2 := by
simp_rw [riemannZeta, hurwitzZetaEven, Function.update_same, if_true]
#align riemann_zeta_zero riemannZeta_zero
lemma riemannZeta_def_of_ne_zero {s : ℂ} (hs : s ≠ 0) :
riemannZeta s = completedRiemannZeta s / Gammaℝ s := by
rw [riemannZeta, hurwitzZetaEven, Function.update_noteq hs, completedHurwitzZetaEven_zero]
theorem riemannZeta_neg_two_mul_nat_add_one (n : ℕ) : riemannZeta (-2 * (n + 1)) = 0 :=
hurwitzZetaEven_neg_two_mul_nat_add_one 0 n
#align riemann_zeta_neg_two_mul_nat_add_one riemannZeta_neg_two_mul_nat_add_one
theorem riemannZeta_one_sub {s : ℂ} (hs : ∀ n : ℕ, s ≠ -n) (hs' : s ≠ 1) :
riemannZeta (1 - s) = 2 * (2 * π) ^ (-s) * Gamma s * cos (π * s / 2) * riemannZeta s := by
rw [riemannZeta, hurwitzZetaEven_one_sub 0 hs (Or.inr hs'), cosZeta_zero, hurwitzZetaEven_zero]
#align riemann_zeta_one_sub riemannZeta_one_sub
def RiemannHypothesis : Prop :=
∀ (s : ℂ) (_ : riemannZeta s = 0) (_ : ¬∃ n : ℕ, s = -2 * (n + 1)) (_ : s ≠ 1), s.re = 1 / 2
#align riemann_hypothesis RiemannHypothesis
theorem completedZeta_eq_tsum_of_one_lt_re {s : ℂ} (hs : 1 < re s) :
completedRiemannZeta s =
(π : ℂ) ^ (-s / 2) * Gamma (s / 2) * ∑' n : ℕ, 1 / (n : ℂ) ^ s := by
have := (hasSum_nat_completedCosZeta 0 hs).tsum_eq.symm
simp only [QuotientAddGroup.mk_zero, completedCosZeta_zero] at this
simp only [this, Gammaℝ_def, mul_zero, zero_mul, Real.cos_zero, ofReal_one, mul_one, mul_one_div,
← tsum_mul_left]
congr 1 with n
split_ifs with h
· simp only [h, Nat.cast_zero, zero_cpow (Complex.ne_zero_of_one_lt_re hs), div_zero]
· rfl
#align completed_zeta_eq_tsum_of_one_lt_re completedZeta_eq_tsum_of_one_lt_re
theorem zeta_eq_tsum_one_div_nat_cpow {s : ℂ} (hs : 1 < re s) :
riemannZeta s = ∑' n : ℕ, 1 / (n : ℂ) ^ s := by
simpa only [QuotientAddGroup.mk_zero, cosZeta_zero, mul_zero, zero_mul, Real.cos_zero,
ofReal_one] using (hasSum_nat_cosZeta 0 hs).tsum_eq.symm
#align zeta_eq_tsum_one_div_nat_cpow zeta_eq_tsum_one_div_nat_cpow
theorem zeta_eq_tsum_one_div_nat_add_one_cpow {s : ℂ} (hs : 1 < re s) :
riemannZeta s = ∑' n : ℕ, 1 / (n + 1 : ℂ) ^ s := by
have := zeta_eq_tsum_one_div_nat_cpow hs
rw [tsum_eq_zero_add] at this
· simpa [zero_cpow (Complex.ne_zero_of_one_lt_re hs)]
· rwa [Complex.summable_one_div_nat_cpow]
#align zeta_eq_tsum_one_div_nat_add_one_cpow zeta_eq_tsum_one_div_nat_add_one_cpow
| Mathlib/NumberTheory/LSeries/RiemannZeta.lean | 213 | 217 | theorem zeta_nat_eq_tsum_of_gt_one {k : ℕ} (hk : 1 < k) :
riemannZeta k = ∑' n : ℕ, 1 / (n : ℂ) ^ k := by |
simp only [zeta_eq_tsum_one_div_nat_cpow
(by rwa [← ofReal_natCast, ofReal_re, ← Nat.cast_one, Nat.cast_lt] : 1 < re k),
cpow_natCast]
|
import Mathlib.Algebra.GroupWithZero.Hom
import Mathlib.Algebra.GroupWithZero.Units.Basic
import Mathlib.Algebra.Ring.Defs
import Mathlib.Data.Nat.Lattice
#align_import ring_theory.nilpotent from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff"
universe u v
open Function Set
variable {R S : Type*} {x y : R}
def IsNilpotent [Zero R] [Pow R ℕ] (x : R) : Prop :=
∃ n : ℕ, x ^ n = 0
#align is_nilpotent IsNilpotent
theorem IsNilpotent.mk [Zero R] [Pow R ℕ] (x : R) (n : ℕ) (e : x ^ n = 0) : IsNilpotent x :=
⟨n, e⟩
#align is_nilpotent.mk IsNilpotent.mk
@[simp] lemma isNilpotent_of_subsingleton [Zero R] [Pow R ℕ] [Subsingleton R] : IsNilpotent x :=
⟨0, Subsingleton.elim _ _⟩
@[simp] theorem IsNilpotent.zero [MonoidWithZero R] : IsNilpotent (0 : R) :=
⟨1, pow_one 0⟩
#align is_nilpotent.zero IsNilpotent.zero
theorem not_isNilpotent_one [MonoidWithZero R] [Nontrivial R] :
¬ IsNilpotent (1 : R) := fun ⟨_, H⟩ ↦ zero_ne_one (H.symm.trans (one_pow _))
lemma IsNilpotent.pow_succ (n : ℕ) {S : Type*} [MonoidWithZero S] {x : S}
(hx : IsNilpotent x) : IsNilpotent (x ^ n.succ) := by
obtain ⟨N,hN⟩ := hx
use N
rw [← pow_mul, Nat.succ_mul, pow_add, hN, mul_zero]
| Mathlib/RingTheory/Nilpotent/Defs.lean | 64 | 68 | theorem IsNilpotent.of_pow [MonoidWithZero R] {x : R} {m : ℕ}
(h : IsNilpotent (x ^ m)) : IsNilpotent x := by |
obtain ⟨n, h⟩ := h
use m*n
rw [← h, pow_mul x m n]
|
import Mathlib.Topology.Separation
import Mathlib.Topology.UniformSpace.Basic
import Mathlib.Topology.UniformSpace.Cauchy
#align_import topology.uniform_space.uniform_convergence from "leanprover-community/mathlib"@"2705404e701abc6b3127da906f40bae062a169c9"
noncomputable section
open Topology Uniformity Filter Set
universe u v w x
variable {α : Type u} {β : Type v} {γ : Type w} {ι : Type x} [UniformSpace β]
variable {F : ι → α → β} {f : α → β} {s s' : Set α} {x : α} {p : Filter ι} {p' : Filter α}
{g : ι → α}
def TendstoUniformlyOnFilter (F : ι → α → β) (f : α → β) (p : Filter ι) (p' : Filter α) :=
∀ u ∈ 𝓤 β, ∀ᶠ n : ι × α in p ×ˢ p', (f n.snd, F n.fst n.snd) ∈ u
#align tendsto_uniformly_on_filter TendstoUniformlyOnFilter
theorem tendstoUniformlyOnFilter_iff_tendsto :
TendstoUniformlyOnFilter F f p p' ↔
Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ p') (𝓤 β) :=
Iff.rfl
#align tendsto_uniformly_on_filter_iff_tendsto tendstoUniformlyOnFilter_iff_tendsto
def TendstoUniformlyOn (F : ι → α → β) (f : α → β) (p : Filter ι) (s : Set α) :=
∀ u ∈ 𝓤 β, ∀ᶠ n in p, ∀ x : α, x ∈ s → (f x, F n x) ∈ u
#align tendsto_uniformly_on TendstoUniformlyOn
theorem tendstoUniformlyOn_iff_tendstoUniformlyOnFilter :
TendstoUniformlyOn F f p s ↔ TendstoUniformlyOnFilter F f p (𝓟 s) := by
simp only [TendstoUniformlyOn, TendstoUniformlyOnFilter]
apply forall₂_congr
simp_rw [eventually_prod_principal_iff]
simp
#align tendsto_uniformly_on_iff_tendsto_uniformly_on_filter tendstoUniformlyOn_iff_tendstoUniformlyOnFilter
alias ⟨TendstoUniformlyOn.tendstoUniformlyOnFilter, TendstoUniformlyOnFilter.tendstoUniformlyOn⟩ :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter
#align tendsto_uniformly_on.tendsto_uniformly_on_filter TendstoUniformlyOn.tendstoUniformlyOnFilter
#align tendsto_uniformly_on_filter.tendsto_uniformly_on TendstoUniformlyOnFilter.tendstoUniformlyOn
theorem tendstoUniformlyOn_iff_tendsto {F : ι → α → β} {f : α → β} {p : Filter ι} {s : Set α} :
TendstoUniformlyOn F f p s ↔
Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ 𝓟 s) (𝓤 β) := by
simp [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter, tendstoUniformlyOnFilter_iff_tendsto]
#align tendsto_uniformly_on_iff_tendsto tendstoUniformlyOn_iff_tendsto
def TendstoUniformly (F : ι → α → β) (f : α → β) (p : Filter ι) :=
∀ u ∈ 𝓤 β, ∀ᶠ n in p, ∀ x : α, (f x, F n x) ∈ u
#align tendsto_uniformly TendstoUniformly
-- Porting note: moved from below
theorem tendstoUniformlyOn_univ : TendstoUniformlyOn F f p univ ↔ TendstoUniformly F f p := by
simp [TendstoUniformlyOn, TendstoUniformly]
#align tendsto_uniformly_on_univ tendstoUniformlyOn_univ
theorem tendstoUniformly_iff_tendstoUniformlyOnFilter :
TendstoUniformly F f p ↔ TendstoUniformlyOnFilter F f p ⊤ := by
rw [← tendstoUniformlyOn_univ, tendstoUniformlyOn_iff_tendstoUniformlyOnFilter, principal_univ]
#align tendsto_uniformly_iff_tendsto_uniformly_on_filter tendstoUniformly_iff_tendstoUniformlyOnFilter
theorem TendstoUniformly.tendstoUniformlyOnFilter (h : TendstoUniformly F f p) :
TendstoUniformlyOnFilter F f p ⊤ := by rwa [← tendstoUniformly_iff_tendstoUniformlyOnFilter]
#align tendsto_uniformly.tendsto_uniformly_on_filter TendstoUniformly.tendstoUniformlyOnFilter
theorem tendstoUniformlyOn_iff_tendstoUniformly_comp_coe :
TendstoUniformlyOn F f p s ↔ TendstoUniformly (fun i (x : s) => F i x) (f ∘ (↑)) p :=
forall₂_congr fun u _ => by simp
#align tendsto_uniformly_on_iff_tendsto_uniformly_comp_coe tendstoUniformlyOn_iff_tendstoUniformly_comp_coe
theorem tendstoUniformly_iff_tendsto {F : ι → α → β} {f : α → β} {p : Filter ι} :
TendstoUniformly F f p ↔ Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ ⊤) (𝓤 β) := by
simp [tendstoUniformly_iff_tendstoUniformlyOnFilter, tendstoUniformlyOnFilter_iff_tendsto]
#align tendsto_uniformly_iff_tendsto tendstoUniformly_iff_tendsto
theorem TendstoUniformlyOnFilter.tendsto_at (h : TendstoUniformlyOnFilter F f p p')
(hx : 𝓟 {x} ≤ p') : Tendsto (fun n => F n x) p <| 𝓝 (f x) := by
refine Uniform.tendsto_nhds_right.mpr fun u hu => mem_map.mpr ?_
filter_upwards [(h u hu).curry]
intro i h
simpa using h.filter_mono hx
#align tendsto_uniformly_on_filter.tendsto_at TendstoUniformlyOnFilter.tendsto_at
theorem TendstoUniformlyOn.tendsto_at (h : TendstoUniformlyOn F f p s) {x : α} (hx : x ∈ s) :
Tendsto (fun n => F n x) p <| 𝓝 (f x) :=
h.tendstoUniformlyOnFilter.tendsto_at
(le_principal_iff.mpr <| mem_principal.mpr <| singleton_subset_iff.mpr <| hx)
#align tendsto_uniformly_on.tendsto_at TendstoUniformlyOn.tendsto_at
theorem TendstoUniformly.tendsto_at (h : TendstoUniformly F f p) (x : α) :
Tendsto (fun n => F n x) p <| 𝓝 (f x) :=
h.tendstoUniformlyOnFilter.tendsto_at le_top
#align tendsto_uniformly.tendsto_at TendstoUniformly.tendsto_at
-- Porting note: tendstoUniformlyOn_univ moved up
theorem TendstoUniformlyOnFilter.mono_left {p'' : Filter ι} (h : TendstoUniformlyOnFilter F f p p')
(hp : p'' ≤ p) : TendstoUniformlyOnFilter F f p'' p' := fun u hu =>
(h u hu).filter_mono (p'.prod_mono_left hp)
#align tendsto_uniformly_on_filter.mono_left TendstoUniformlyOnFilter.mono_left
theorem TendstoUniformlyOnFilter.mono_right {p'' : Filter α} (h : TendstoUniformlyOnFilter F f p p')
(hp : p'' ≤ p') : TendstoUniformlyOnFilter F f p p'' := fun u hu =>
(h u hu).filter_mono (p.prod_mono_right hp)
#align tendsto_uniformly_on_filter.mono_right TendstoUniformlyOnFilter.mono_right
theorem TendstoUniformlyOn.mono {s' : Set α} (h : TendstoUniformlyOn F f p s) (h' : s' ⊆ s) :
TendstoUniformlyOn F f p s' :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr
(h.tendstoUniformlyOnFilter.mono_right (le_principal_iff.mpr <| mem_principal.mpr h'))
#align tendsto_uniformly_on.mono TendstoUniformlyOn.mono
theorem TendstoUniformlyOnFilter.congr {F' : ι → α → β} (hf : TendstoUniformlyOnFilter F f p p')
(hff' : ∀ᶠ n : ι × α in p ×ˢ p', F n.fst n.snd = F' n.fst n.snd) :
TendstoUniformlyOnFilter F' f p p' := by
refine fun u hu => ((hf u hu).and hff').mono fun n h => ?_
rw [← h.right]
exact h.left
#align tendsto_uniformly_on_filter.congr TendstoUniformlyOnFilter.congr
theorem TendstoUniformlyOn.congr {F' : ι → α → β} (hf : TendstoUniformlyOn F f p s)
(hff' : ∀ᶠ n in p, Set.EqOn (F n) (F' n) s) : TendstoUniformlyOn F' f p s := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at hf ⊢
refine hf.congr ?_
rw [eventually_iff] at hff' ⊢
simp only [Set.EqOn] at hff'
simp only [mem_prod_principal, hff', mem_setOf_eq]
#align tendsto_uniformly_on.congr TendstoUniformlyOn.congr
theorem TendstoUniformlyOn.congr_right {g : α → β} (hf : TendstoUniformlyOn F f p s)
(hfg : EqOn f g s) : TendstoUniformlyOn F g p s := fun u hu => by
filter_upwards [hf u hu] with i hi a ha using hfg ha ▸ hi a ha
#align tendsto_uniformly_on.congr_right TendstoUniformlyOn.congr_right
protected theorem TendstoUniformly.tendstoUniformlyOn (h : TendstoUniformly F f p) :
TendstoUniformlyOn F f p s :=
(tendstoUniformlyOn_univ.2 h).mono (subset_univ s)
#align tendsto_uniformly.tendsto_uniformly_on TendstoUniformly.tendstoUniformlyOn
theorem TendstoUniformlyOnFilter.comp (h : TendstoUniformlyOnFilter F f p p') (g : γ → α) :
TendstoUniformlyOnFilter (fun n => F n ∘ g) (f ∘ g) p (p'.comap g) := by
rw [tendstoUniformlyOnFilter_iff_tendsto] at h ⊢
exact h.comp (tendsto_id.prod_map tendsto_comap)
#align tendsto_uniformly_on_filter.comp TendstoUniformlyOnFilter.comp
theorem TendstoUniformlyOn.comp (h : TendstoUniformlyOn F f p s) (g : γ → α) :
TendstoUniformlyOn (fun n => F n ∘ g) (f ∘ g) p (g ⁻¹' s) := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at h ⊢
simpa [TendstoUniformlyOn, comap_principal] using TendstoUniformlyOnFilter.comp h g
#align tendsto_uniformly_on.comp TendstoUniformlyOn.comp
theorem TendstoUniformly.comp (h : TendstoUniformly F f p) (g : γ → α) :
TendstoUniformly (fun n => F n ∘ g) (f ∘ g) p := by
rw [tendstoUniformly_iff_tendstoUniformlyOnFilter] at h ⊢
simpa [principal_univ, comap_principal] using h.comp g
#align tendsto_uniformly.comp TendstoUniformly.comp
theorem UniformContinuous.comp_tendstoUniformlyOnFilter [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformlyOnFilter F f p p') :
TendstoUniformlyOnFilter (fun i => g ∘ F i) (g ∘ f) p p' := fun _u hu => h _ (hg hu)
#align uniform_continuous.comp_tendsto_uniformly_on_filter UniformContinuous.comp_tendstoUniformlyOnFilter
theorem UniformContinuous.comp_tendstoUniformlyOn [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformlyOn F f p s) :
TendstoUniformlyOn (fun i => g ∘ F i) (g ∘ f) p s := fun _u hu => h _ (hg hu)
#align uniform_continuous.comp_tendsto_uniformly_on UniformContinuous.comp_tendstoUniformlyOn
theorem UniformContinuous.comp_tendstoUniformly [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformly F f p) :
TendstoUniformly (fun i => g ∘ F i) (g ∘ f) p := fun _u hu => h _ (hg hu)
#align uniform_continuous.comp_tendsto_uniformly UniformContinuous.comp_tendstoUniformly
theorem TendstoUniformlyOnFilter.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {q : Filter ι'} {q' : Filter α'} (h : TendstoUniformlyOnFilter F f p p')
(h' : TendstoUniformlyOnFilter F' f' q q') :
TendstoUniformlyOnFilter (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f')
(p ×ˢ q) (p' ×ˢ q') := by
rw [tendstoUniformlyOnFilter_iff_tendsto] at h h' ⊢
rw [uniformity_prod_eq_comap_prod, tendsto_comap_iff, ← map_swap4_prod, tendsto_map'_iff]
convert h.prod_map h' -- seems to be faster than `exact` here
#align tendsto_uniformly_on_filter.prod_map TendstoUniformlyOnFilter.prod_map
theorem TendstoUniformlyOn.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {p' : Filter ι'} {s' : Set α'} (h : TendstoUniformlyOn F f p s)
(h' : TendstoUniformlyOn F' f' p' s') :
TendstoUniformlyOn (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f') (p ×ˢ p')
(s ×ˢ s') := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at h h' ⊢
simpa only [prod_principal_principal] using h.prod_map h'
#align tendsto_uniformly_on.prod_map TendstoUniformlyOn.prod_map
theorem TendstoUniformly.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {p' : Filter ι'} (h : TendstoUniformly F f p) (h' : TendstoUniformly F' f' p') :
TendstoUniformly (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f') (p ×ˢ p') := by
rw [← tendstoUniformlyOn_univ, ← univ_prod_univ] at *
exact h.prod_map h'
#align tendsto_uniformly.prod_map TendstoUniformly.prod_map
theorem TendstoUniformlyOnFilter.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'}
{f' : α → β'} {q : Filter ι'} (h : TendstoUniformlyOnFilter F f p p')
(h' : TendstoUniformlyOnFilter F' f' q p') :
TendstoUniformlyOnFilter (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p ×ˢ q) p' :=
fun u hu => ((h.prod_map h') u hu).diag_of_prod_right
#align tendsto_uniformly_on_filter.prod TendstoUniformlyOnFilter.prod
theorem TendstoUniformlyOn.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'} {f' : α → β'}
{p' : Filter ι'} (h : TendstoUniformlyOn F f p s) (h' : TendstoUniformlyOn F' f' p' s) :
TendstoUniformlyOn (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p.prod p') s :=
(congr_arg _ s.inter_self).mp ((h.prod_map h').comp fun a => (a, a))
#align tendsto_uniformly_on.prod TendstoUniformlyOn.prod
theorem TendstoUniformly.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'} {f' : α → β'}
{p' : Filter ι'} (h : TendstoUniformly F f p) (h' : TendstoUniformly F' f' p') :
TendstoUniformly (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p ×ˢ p') :=
(h.prod_map h').comp fun a => (a, a)
#align tendsto_uniformly.prod TendstoUniformly.prod
theorem tendsto_prod_filter_iff {c : β} :
Tendsto (↿F) (p ×ˢ p') (𝓝 c) ↔ TendstoUniformlyOnFilter F (fun _ => c) p p' := by
simp_rw [nhds_eq_comap_uniformity, tendsto_comap_iff]
rfl
#align tendsto_prod_filter_iff tendsto_prod_filter_iff
theorem tendsto_prod_principal_iff {c : β} :
Tendsto (↿F) (p ×ˢ 𝓟 s) (𝓝 c) ↔ TendstoUniformlyOn F (fun _ => c) p s := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter]
exact tendsto_prod_filter_iff
#align tendsto_prod_principal_iff tendsto_prod_principal_iff
theorem tendsto_prod_top_iff {c : β} :
Tendsto (↿F) (p ×ˢ ⊤) (𝓝 c) ↔ TendstoUniformly F (fun _ => c) p := by
rw [tendstoUniformly_iff_tendstoUniformlyOnFilter]
exact tendsto_prod_filter_iff
#align tendsto_prod_top_iff tendsto_prod_top_iff
theorem tendstoUniformlyOn_empty : TendstoUniformlyOn F f p ∅ := fun u _ => by simp
#align tendsto_uniformly_on_empty tendstoUniformlyOn_empty
theorem tendstoUniformlyOn_singleton_iff_tendsto :
TendstoUniformlyOn F f p {x} ↔ Tendsto (fun n : ι => F n x) p (𝓝 (f x)) := by
simp_rw [tendstoUniformlyOn_iff_tendsto, Uniform.tendsto_nhds_right, tendsto_def]
exact forall₂_congr fun u _ => by simp [mem_prod_principal, preimage]
#align tendsto_uniformly_on_singleton_iff_tendsto tendstoUniformlyOn_singleton_iff_tendsto
theorem Filter.Tendsto.tendstoUniformlyOnFilter_const {g : ι → β} {b : β} (hg : Tendsto g p (𝓝 b))
(p' : Filter α) :
TendstoUniformlyOnFilter (fun n : ι => fun _ : α => g n) (fun _ : α => b) p p' := by
simpa only [nhds_eq_comap_uniformity, tendsto_comap_iff] using hg.comp (tendsto_fst (g := p'))
#align filter.tendsto.tendsto_uniformly_on_filter_const Filter.Tendsto.tendstoUniformlyOnFilter_const
theorem Filter.Tendsto.tendstoUniformlyOn_const {g : ι → β} {b : β} (hg : Tendsto g p (𝓝 b))
(s : Set α) : TendstoUniformlyOn (fun n : ι => fun _ : α => g n) (fun _ : α => b) p s :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr (hg.tendstoUniformlyOnFilter_const (𝓟 s))
#align filter.tendsto.tendsto_uniformly_on_const Filter.Tendsto.tendstoUniformlyOn_const
-- Porting note (#10756): new lemma
theorem UniformContinuousOn.tendstoUniformlyOn [UniformSpace α] [UniformSpace γ] {x : α} {U : Set α}
{V : Set β} {F : α → β → γ} (hF : UniformContinuousOn (↿F) (U ×ˢ V)) (hU : x ∈ U) :
TendstoUniformlyOn F (F x) (𝓝[U] x) V := by
set φ := fun q : α × β => ((x, q.2), q)
rw [tendstoUniformlyOn_iff_tendsto]
change Tendsto (Prod.map (↿F) ↿F ∘ φ) (𝓝[U] x ×ˢ 𝓟 V) (𝓤 γ)
simp only [nhdsWithin, SProd.sprod, Filter.prod, comap_inf, inf_assoc, comap_principal,
inf_principal]
refine hF.comp (Tendsto.inf ?_ <| tendsto_principal_principal.2 fun x hx => ⟨⟨hU, hx.2⟩, hx⟩)
simp only [uniformity_prod_eq_comap_prod, tendsto_comap_iff, (· ∘ ·),
nhds_eq_comap_uniformity, comap_comap]
exact tendsto_comap.prod_mk (tendsto_diag_uniformity _ _)
theorem UniformContinuousOn.tendstoUniformly [UniformSpace α] [UniformSpace γ] {x : α} {U : Set α}
(hU : U ∈ 𝓝 x) {F : α → β → γ} (hF : UniformContinuousOn (↿F) (U ×ˢ (univ : Set β))) :
TendstoUniformly F (F x) (𝓝 x) := by
simpa only [tendstoUniformlyOn_univ, nhdsWithin_eq_nhds.2 hU]
using hF.tendstoUniformlyOn (mem_of_mem_nhds hU)
#align uniform_continuous_on.tendsto_uniformly UniformContinuousOn.tendstoUniformly
theorem UniformContinuous₂.tendstoUniformly [UniformSpace α] [UniformSpace γ] {f : α → β → γ}
(h : UniformContinuous₂ f) {x : α} : TendstoUniformly f (f x) (𝓝 x) :=
UniformContinuousOn.tendstoUniformly univ_mem <| by rwa [univ_prod_univ, uniformContinuousOn_univ]
#align uniform_continuous₂.tendsto_uniformly UniformContinuous₂.tendstoUniformly
def UniformCauchySeqOnFilter (F : ι → α → β) (p : Filter ι) (p' : Filter α) : Prop :=
∀ u ∈ 𝓤 β, ∀ᶠ m : (ι × ι) × α in (p ×ˢ p) ×ˢ p', (F m.fst.fst m.snd, F m.fst.snd m.snd) ∈ u
#align uniform_cauchy_seq_on_filter UniformCauchySeqOnFilter
def UniformCauchySeqOn (F : ι → α → β) (p : Filter ι) (s : Set α) : Prop :=
∀ u ∈ 𝓤 β, ∀ᶠ m : ι × ι in p ×ˢ p, ∀ x : α, x ∈ s → (F m.fst x, F m.snd x) ∈ u
#align uniform_cauchy_seq_on UniformCauchySeqOn
theorem uniformCauchySeqOn_iff_uniformCauchySeqOnFilter :
UniformCauchySeqOn F p s ↔ UniformCauchySeqOnFilter F p (𝓟 s) := by
simp only [UniformCauchySeqOn, UniformCauchySeqOnFilter]
refine forall₂_congr fun u hu => ?_
rw [eventually_prod_principal_iff]
#align uniform_cauchy_seq_on_iff_uniform_cauchy_seq_on_filter uniformCauchySeqOn_iff_uniformCauchySeqOnFilter
theorem UniformCauchySeqOn.uniformCauchySeqOnFilter (hF : UniformCauchySeqOn F p s) :
UniformCauchySeqOnFilter F p (𝓟 s) := by rwa [← uniformCauchySeqOn_iff_uniformCauchySeqOnFilter]
#align uniform_cauchy_seq_on.uniform_cauchy_seq_on_filter UniformCauchySeqOn.uniformCauchySeqOnFilter
theorem TendstoUniformlyOnFilter.uniformCauchySeqOnFilter (hF : TendstoUniformlyOnFilter F f p p') :
UniformCauchySeqOnFilter F p p' := by
intro u hu
rcases comp_symm_of_uniformity hu with ⟨t, ht, htsymm, htmem⟩
have := tendsto_swap4_prod.eventually ((hF t ht).prod_mk (hF t ht))
apply this.diag_of_prod_right.mono
simp only [and_imp, Prod.forall]
intro n1 n2 x hl hr
exact Set.mem_of_mem_of_subset (prod_mk_mem_compRel (htsymm hl) hr) htmem
#align tendsto_uniformly_on_filter.uniform_cauchy_seq_on_filter TendstoUniformlyOnFilter.uniformCauchySeqOnFilter
theorem TendstoUniformlyOn.uniformCauchySeqOn (hF : TendstoUniformlyOn F f p s) :
UniformCauchySeqOn F p s :=
uniformCauchySeqOn_iff_uniformCauchySeqOnFilter.mpr
hF.tendstoUniformlyOnFilter.uniformCauchySeqOnFilter
#align tendsto_uniformly_on.uniform_cauchy_seq_on TendstoUniformlyOn.uniformCauchySeqOn
theorem UniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto [NeBot p]
(hF : UniformCauchySeqOnFilter F p p')
(hF' : ∀ᶠ x : α in p', Tendsto (fun n => F n x) p (𝓝 (f x))) :
TendstoUniformlyOnFilter F f p p' := by
-- Proof idea: |f_n(x) - f(x)| ≤ |f_n(x) - f_m(x)| + |f_m(x) - f(x)|. We choose `n`
-- so that |f_n(x) - f_m(x)| is uniformly small across `s` whenever `m ≥ n`. Then for
-- a fixed `x`, we choose `m` sufficiently large such that |f_m(x) - f(x)| is small.
intro u hu
rcases comp_symm_of_uniformity hu with ⟨t, ht, htsymm, htmem⟩
-- We will choose n, x, and m simultaneously. n and x come from hF. m comes from hF'
-- But we need to promote hF' to the full product filter to use it
have hmc : ∀ᶠ x in (p ×ˢ p) ×ˢ p', Tendsto (fun n : ι => F n x.snd) p (𝓝 (f x.snd)) := by
rw [eventually_prod_iff]
exact ⟨fun _ => True, by simp, _, hF', by simp⟩
-- To apply filter operations we'll need to do some order manipulation
rw [Filter.eventually_swap_iff]
have := tendsto_prodAssoc.eventually (tendsto_prod_swap.eventually ((hF t ht).and hmc))
apply this.curry.mono
simp only [Equiv.prodAssoc_apply, eventually_and, eventually_const, Prod.snd_swap, Prod.fst_swap,
and_imp, Prod.forall]
-- Complete the proof
intro x n hx hm'
refine Set.mem_of_mem_of_subset (mem_compRel.mpr ?_) htmem
rw [Uniform.tendsto_nhds_right] at hm'
have := hx.and (hm' ht)
obtain ⟨m, hm⟩ := this.exists
exact ⟨F m x, ⟨hm.2, htsymm hm.1⟩⟩
#align uniform_cauchy_seq_on_filter.tendsto_uniformly_on_filter_of_tendsto UniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto
theorem UniformCauchySeqOn.tendstoUniformlyOn_of_tendsto [NeBot p] (hF : UniformCauchySeqOn F p s)
(hF' : ∀ x : α, x ∈ s → Tendsto (fun n => F n x) p (𝓝 (f x))) : TendstoUniformlyOn F f p s :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr
(hF.uniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto hF')
#align uniform_cauchy_seq_on.tendsto_uniformly_on_of_tendsto UniformCauchySeqOn.tendstoUniformlyOn_of_tendsto
theorem UniformCauchySeqOnFilter.mono_left {p'' : Filter ι} (hf : UniformCauchySeqOnFilter F p p')
(hp : p'' ≤ p) : UniformCauchySeqOnFilter F p'' p' := by
intro u hu
have := (hf u hu).filter_mono (p'.prod_mono_left (Filter.prod_mono hp hp))
exact this.mono (by simp)
#align uniform_cauchy_seq_on_filter.mono_left UniformCauchySeqOnFilter.mono_left
theorem UniformCauchySeqOnFilter.mono_right {p'' : Filter α} (hf : UniformCauchySeqOnFilter F p p')
(hp : p'' ≤ p') : UniformCauchySeqOnFilter F p p'' := fun u hu =>
have := (hf u hu).filter_mono ((p ×ˢ p).prod_mono_right hp)
this.mono (by simp)
#align uniform_cauchy_seq_on_filter.mono_right UniformCauchySeqOnFilter.mono_right
theorem UniformCauchySeqOn.mono {s' : Set α} (hf : UniformCauchySeqOn F p s) (hss' : s' ⊆ s) :
UniformCauchySeqOn F p s' := by
rw [uniformCauchySeqOn_iff_uniformCauchySeqOnFilter] at hf ⊢
exact hf.mono_right (le_principal_iff.mpr <| mem_principal.mpr hss')
#align uniform_cauchy_seq_on.mono UniformCauchySeqOn.mono
theorem UniformCauchySeqOnFilter.comp {γ : Type*} (hf : UniformCauchySeqOnFilter F p p')
(g : γ → α) : UniformCauchySeqOnFilter (fun n => F n ∘ g) p (p'.comap g) := fun u hu => by
obtain ⟨pa, hpa, pb, hpb, hpapb⟩ := eventually_prod_iff.mp (hf u hu)
rw [eventually_prod_iff]
refine ⟨pa, hpa, pb ∘ g, ?_, fun hx _ hy => hpapb hx hy⟩
exact eventually_comap.mpr (hpb.mono fun x hx y hy => by simp only [hx, hy, Function.comp_apply])
#align uniform_cauchy_seq_on_filter.comp UniformCauchySeqOnFilter.comp
theorem UniformCauchySeqOn.comp {γ : Type*} (hf : UniformCauchySeqOn F p s) (g : γ → α) :
UniformCauchySeqOn (fun n => F n ∘ g) p (g ⁻¹' s) := by
rw [uniformCauchySeqOn_iff_uniformCauchySeqOnFilter] at hf ⊢
simpa only [UniformCauchySeqOn, comap_principal] using hf.comp g
#align uniform_cauchy_seq_on.comp UniformCauchySeqOn.comp
theorem UniformContinuous.comp_uniformCauchySeqOn [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (hf : UniformCauchySeqOn F p s) :
UniformCauchySeqOn (fun n => g ∘ F n) p s := fun _u hu => hf _ (hg hu)
#align uniform_continuous.comp_uniform_cauchy_seq_on UniformContinuous.comp_uniformCauchySeqOn
theorem UniformCauchySeqOn.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{p' : Filter ι'} {s' : Set α'} (h : UniformCauchySeqOn F p s)
(h' : UniformCauchySeqOn F' p' s') :
UniformCauchySeqOn (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (p ×ˢ p') (s ×ˢ s') := by
intro u hu
rw [uniformity_prod_eq_prod, mem_map, mem_prod_iff] at hu
obtain ⟨v, hv, w, hw, hvw⟩ := hu
simp_rw [mem_prod, Prod.map_apply, and_imp, Prod.forall]
rw [← Set.image_subset_iff] at hvw
apply (tendsto_swap4_prod.eventually ((h v hv).prod_mk (h' w hw))).mono
intro x hx a b ha hb
exact hvw ⟨_, mk_mem_prod (hx.1 a ha) (hx.2 b hb), rfl⟩
#align uniform_cauchy_seq_on.prod_map UniformCauchySeqOn.prod_map
theorem UniformCauchySeqOn.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'}
{p' : Filter ι'} (h : UniformCauchySeqOn F p s) (h' : UniformCauchySeqOn F' p' s) :
UniformCauchySeqOn (fun (i : ι × ι') a => (F i.fst a, F' i.snd a)) (p ×ˢ p') s :=
(congr_arg _ s.inter_self).mp ((h.prod_map h').comp fun a => (a, a))
#align uniform_cauchy_seq_on.prod UniformCauchySeqOn.prod
theorem UniformCauchySeqOn.prod' {β' : Type*} [UniformSpace β'] {F' : ι → α → β'}
(h : UniformCauchySeqOn F p s) (h' : UniformCauchySeqOn F' p s) :
UniformCauchySeqOn (fun (i : ι) a => (F i a, F' i a)) p s := fun u hu =>
have hh : Tendsto (fun x : ι => (x, x)) p (p ×ˢ p) := tendsto_diag
(hh.prod_map hh).eventually ((h.prod h') u hu)
#align uniform_cauchy_seq_on.prod' UniformCauchySeqOn.prod'
theorem UniformCauchySeqOn.cauchy_map [hp : NeBot p] (hf : UniformCauchySeqOn F p s) (hx : x ∈ s) :
Cauchy (map (fun i => F i x) p) := by
simp only [cauchy_map_iff, hp, true_and_iff]
intro u hu
rw [mem_map]
filter_upwards [hf u hu] with p hp using hp x hx
#align uniform_cauchy_seq_on.cauchy_map UniformCauchySeqOn.cauchy_map
theorem UniformCauchySeqOn.cauchySeq [Nonempty ι] [SemilatticeSup ι]
(hf : UniformCauchySeqOn F atTop s) (hx : x ∈ s) :
CauchySeq fun i ↦ F i x :=
hf.cauchy_map (hp := atTop_neBot) hx
section SeqTendsto
theorem tendstoUniformlyOn_of_seq_tendstoUniformlyOn {l : Filter ι} [l.IsCountablyGenerated]
(h : ∀ u : ℕ → ι, Tendsto u atTop l → TendstoUniformlyOn (fun n => F (u n)) f atTop s) :
TendstoUniformlyOn F f l s := by
rw [tendstoUniformlyOn_iff_tendsto, tendsto_iff_seq_tendsto]
intro u hu
rw [tendsto_prod_iff'] at hu
specialize h (fun n => (u n).fst) hu.1
rw [tendstoUniformlyOn_iff_tendsto] at h
exact h.comp (tendsto_id.prod_mk hu.2)
#align tendsto_uniformly_on_of_seq_tendsto_uniformly_on tendstoUniformlyOn_of_seq_tendstoUniformlyOn
| Mathlib/Topology/UniformSpace/UniformConvergence.lean | 574 | 577 | theorem TendstoUniformlyOn.seq_tendstoUniformlyOn {l : Filter ι} (h : TendstoUniformlyOn F f l s)
(u : ℕ → ι) (hu : Tendsto u atTop l) : TendstoUniformlyOn (fun n => F (u n)) f atTop s := by |
rw [tendstoUniformlyOn_iff_tendsto] at h ⊢
exact h.comp ((hu.comp tendsto_fst).prod_mk tendsto_snd)
|
import Mathlib.Topology.Separation
open Topology Filter Set TopologicalSpace
section Basic
variable {α : Type*} [TopologicalSpace α] {C : Set α}
theorem AccPt.nhds_inter {x : α} {U : Set α} (h_acc : AccPt x (𝓟 C)) (hU : U ∈ 𝓝 x) :
AccPt x (𝓟 (U ∩ C)) := by
have : 𝓝[≠] x ≤ 𝓟 U := by
rw [le_principal_iff]
exact mem_nhdsWithin_of_mem_nhds hU
rw [AccPt, ← inf_principal, ← inf_assoc, inf_of_le_left this]
exact h_acc
#align acc_pt.nhds_inter AccPt.nhds_inter
def Preperfect (C : Set α) : Prop :=
∀ x ∈ C, AccPt x (𝓟 C)
#align preperfect Preperfect
@[mk_iff perfect_def]
structure Perfect (C : Set α) : Prop where
closed : IsClosed C
acc : Preperfect C
#align perfect Perfect
| Mathlib/Topology/Perfect.lean | 87 | 88 | theorem preperfect_iff_nhds : Preperfect C ↔ ∀ x ∈ C, ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by |
simp only [Preperfect, accPt_iff_nhds]
|
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.LinearAlgebra.FreeModule.Finite.Basic
import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition
import Mathlib.LinearAlgebra.Projection
import Mathlib.LinearAlgebra.SesquilinearForm
import Mathlib.RingTheory.TensorProduct.Basic
import Mathlib.RingTheory.Ideal.LocalRing
#align_import linear_algebra.dual from "leanprover-community/mathlib"@"b1c017582e9f18d8494e5c18602a8cb4a6f843ac"
noncomputable section
namespace Module
-- Porting note: max u v universe issues so name and specific below
universe uR uA uM uM' uM''
variable (R : Type uR) (A : Type uA) (M : Type uM)
variable [CommSemiring R] [AddCommMonoid M] [Module R M]
abbrev Dual :=
M →ₗ[R] R
#align module.dual Module.Dual
def dualPairing (R M) [CommSemiring R] [AddCommMonoid M] [Module R M] :
Module.Dual R M →ₗ[R] M →ₗ[R] R :=
LinearMap.id
#align module.dual_pairing Module.dualPairing
@[simp]
theorem dualPairing_apply (v x) : dualPairing R M v x = v x :=
rfl
#align module.dual_pairing_apply Module.dualPairing_apply
namespace Dual
instance : Inhabited (Dual R M) := ⟨0⟩
def eval : M →ₗ[R] Dual R (Dual R M) :=
LinearMap.flip LinearMap.id
#align module.dual.eval Module.Dual.eval
@[simp]
theorem eval_apply (v : M) (a : Dual R M) : eval R M v a = a v :=
rfl
#align module.dual.eval_apply Module.Dual.eval_apply
variable {R M} {M' : Type uM'}
variable [AddCommMonoid M'] [Module R M']
def transpose : (M →ₗ[R] M') →ₗ[R] Dual R M' →ₗ[R] Dual R M :=
(LinearMap.llcomp R M M' R).flip
#align module.dual.transpose Module.Dual.transpose
-- Porting note: with reducible def need to specify some parameters to transpose explicitly
theorem transpose_apply (u : M →ₗ[R] M') (l : Dual R M') : transpose (R := R) u l = l.comp u :=
rfl
#align module.dual.transpose_apply Module.Dual.transpose_apply
variable {M'' : Type uM''} [AddCommMonoid M''] [Module R M'']
-- Porting note: with reducible def need to specify some parameters to transpose explicitly
theorem transpose_comp (u : M' →ₗ[R] M'') (v : M →ₗ[R] M') :
transpose (R := R) (u.comp v) = (transpose (R := R) v).comp (transpose (R := R) u) :=
rfl
#align module.dual.transpose_comp Module.Dual.transpose_comp
end Dual
section Prod
variable (M' : Type uM') [AddCommMonoid M'] [Module R M']
@[simps!]
def dualProdDualEquivDual : (Module.Dual R M × Module.Dual R M') ≃ₗ[R] Module.Dual R (M × M') :=
LinearMap.coprodEquiv R
#align module.dual_prod_dual_equiv_dual Module.dualProdDualEquivDual
@[simp]
theorem dualProdDualEquivDual_apply (φ : Module.Dual R M) (ψ : Module.Dual R M') :
dualProdDualEquivDual R M M' (φ, ψ) = φ.coprod ψ :=
rfl
#align module.dual_prod_dual_equiv_dual_apply Module.dualProdDualEquivDual_apply
end Prod
end Module
namespace Basis
universe u v w
open Module Module.Dual Submodule LinearMap Cardinal Function
universe uR uM uK uV uι
variable {R : Type uR} {M : Type uM} {K : Type uK} {V : Type uV} {ι : Type uι}
section CommSemiring
variable [CommSemiring R] [AddCommMonoid M] [Module R M] [DecidableEq ι]
variable (b : Basis ι R M)
def toDual : M →ₗ[R] Module.Dual R M :=
b.constr ℕ fun v => b.constr ℕ fun w => if w = v then (1 : R) else 0
#align basis.to_dual Basis.toDual
theorem toDual_apply (i j : ι) : b.toDual (b i) (b j) = if i = j then 1 else 0 := by
erw [constr_basis b, constr_basis b]
simp only [eq_comm]
#align basis.to_dual_apply Basis.toDual_apply
@[simp]
theorem toDual_total_left (f : ι →₀ R) (i : ι) :
b.toDual (Finsupp.total ι M R b f) (b i) = f i := by
rw [Finsupp.total_apply, Finsupp.sum, _root_.map_sum, LinearMap.sum_apply]
simp_rw [LinearMap.map_smul, LinearMap.smul_apply, toDual_apply, smul_eq_mul, mul_boole,
Finset.sum_ite_eq']
split_ifs with h
· rfl
· rw [Finsupp.not_mem_support_iff.mp h]
#align basis.to_dual_total_left Basis.toDual_total_left
@[simp]
theorem toDual_total_right (f : ι →₀ R) (i : ι) :
b.toDual (b i) (Finsupp.total ι M R b f) = f i := by
rw [Finsupp.total_apply, Finsupp.sum, _root_.map_sum]
simp_rw [LinearMap.map_smul, toDual_apply, smul_eq_mul, mul_boole, Finset.sum_ite_eq]
split_ifs with h
· rfl
· rw [Finsupp.not_mem_support_iff.mp h]
#align basis.to_dual_total_right Basis.toDual_total_right
theorem toDual_apply_left (m : M) (i : ι) : b.toDual m (b i) = b.repr m i := by
rw [← b.toDual_total_left, b.total_repr]
#align basis.to_dual_apply_left Basis.toDual_apply_left
| Mathlib/LinearAlgebra/Dual.lean | 333 | 334 | theorem toDual_apply_right (i : ι) (m : M) : b.toDual (b i) m = b.repr m i := by |
rw [← b.toDual_total_right, b.total_repr]
|
import Mathlib.Geometry.RingedSpace.PresheafedSpace.Gluing
import Mathlib.AlgebraicGeometry.OpenImmersion
#align_import algebraic_geometry.gluing from "leanprover-community/mathlib"@"533f62f4dd62a5aad24a04326e6e787c8f7e98b1"
set_option linter.uppercaseLean3 false
noncomputable section
universe u
open TopologicalSpace CategoryTheory Opposite
open CategoryTheory.Limits AlgebraicGeometry.PresheafedSpace
open CategoryTheory.GlueData
namespace AlgebraicGeometry
namespace Scheme
-- Porting note(#5171): @[nolint has_nonempty_instance]; linter not ported yet
structure GlueData extends CategoryTheory.GlueData Scheme where
f_open : ∀ i j, IsOpenImmersion (f i j)
#align algebraic_geometry.Scheme.glue_data AlgebraicGeometry.Scheme.GlueData
attribute [instance] GlueData.f_open
namespace OpenCover
variable {X : Scheme.{u}} (𝒰 : OpenCover.{u} X)
def gluedCoverT' (x y z : 𝒰.J) :
pullback (pullback.fst : pullback (𝒰.map x) (𝒰.map y) ⟶ _)
(pullback.fst : pullback (𝒰.map x) (𝒰.map z) ⟶ _) ⟶
pullback (pullback.fst : pullback (𝒰.map y) (𝒰.map z) ⟶ _)
(pullback.fst : pullback (𝒰.map y) (𝒰.map x) ⟶ _) := by
refine (pullbackRightPullbackFstIso _ _ _).hom ≫ ?_
refine ?_ ≫ (pullbackSymmetry _ _).hom
refine ?_ ≫ (pullbackRightPullbackFstIso _ _ _).inv
refine pullback.map _ _ _ _ (pullbackSymmetry _ _).hom (𝟙 _) (𝟙 _) ?_ ?_
· simp [pullback.condition]
· simp
#align algebraic_geometry.Scheme.open_cover.glued_cover_t' AlgebraicGeometry.Scheme.OpenCover.gluedCoverT'
@[simp, reassoc]
theorem gluedCoverT'_fst_fst (x y z : 𝒰.J) :
𝒰.gluedCoverT' x y z ≫ pullback.fst ≫ pullback.fst = pullback.fst ≫ pullback.snd := by
delta gluedCoverT'; simp
#align algebraic_geometry.Scheme.open_cover.glued_cover_t'_fst_fst AlgebraicGeometry.Scheme.OpenCover.gluedCoverT'_fst_fst
@[simp, reassoc]
theorem gluedCoverT'_fst_snd (x y z : 𝒰.J) :
gluedCoverT' 𝒰 x y z ≫ pullback.fst ≫ pullback.snd = pullback.snd ≫ pullback.snd := by
delta gluedCoverT'; simp
#align algebraic_geometry.Scheme.open_cover.glued_cover_t'_fst_snd AlgebraicGeometry.Scheme.OpenCover.gluedCoverT'_fst_snd
@[simp, reassoc]
theorem gluedCoverT'_snd_fst (x y z : 𝒰.J) :
gluedCoverT' 𝒰 x y z ≫ pullback.snd ≫ pullback.fst = pullback.fst ≫ pullback.snd := by
delta gluedCoverT'; simp
#align algebraic_geometry.Scheme.open_cover.glued_cover_t'_snd_fst AlgebraicGeometry.Scheme.OpenCover.gluedCoverT'_snd_fst
@[simp, reassoc]
| Mathlib/AlgebraicGeometry/Gluing.lean | 314 | 316 | theorem gluedCoverT'_snd_snd (x y z : 𝒰.J) :
gluedCoverT' 𝒰 x y z ≫ pullback.snd ≫ pullback.snd = pullback.fst ≫ pullback.fst := by |
delta gluedCoverT'; simp
|
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Data.Nat.GCD.Basic
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Linarith
#align_import data.nat.choose.central from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
namespace Nat
def centralBinom (n : ℕ) :=
(2 * n).choose n
#align nat.central_binom Nat.centralBinom
theorem centralBinom_eq_two_mul_choose (n : ℕ) : centralBinom n = (2 * n).choose n :=
rfl
#align nat.central_binom_eq_two_mul_choose Nat.centralBinom_eq_two_mul_choose
theorem centralBinom_pos (n : ℕ) : 0 < centralBinom n :=
choose_pos (Nat.le_mul_of_pos_left _ zero_lt_two)
#align nat.central_binom_pos Nat.centralBinom_pos
theorem centralBinom_ne_zero (n : ℕ) : centralBinom n ≠ 0 :=
(centralBinom_pos n).ne'
#align nat.central_binom_ne_zero Nat.centralBinom_ne_zero
@[simp]
theorem centralBinom_zero : centralBinom 0 = 1 :=
choose_zero_right _
#align nat.central_binom_zero Nat.centralBinom_zero
theorem choose_le_centralBinom (r n : ℕ) : choose (2 * n) r ≤ centralBinom n :=
calc
(2 * n).choose r ≤ (2 * n).choose (2 * n / 2) := choose_le_middle r (2 * n)
_ = (2 * n).choose n := by rw [Nat.mul_div_cancel_left n zero_lt_two]
#align nat.choose_le_central_binom Nat.choose_le_centralBinom
theorem two_le_centralBinom (n : ℕ) (n_pos : 0 < n) : 2 ≤ centralBinom n :=
calc
2 ≤ 2 * n := Nat.le_mul_of_pos_right _ n_pos
_ = (2 * n).choose 1 := (choose_one_right (2 * n)).symm
_ ≤ centralBinom n := choose_le_centralBinom 1 n
#align nat.two_le_central_binom Nat.two_le_centralBinom
theorem succ_mul_centralBinom_succ (n : ℕ) :
(n + 1) * centralBinom (n + 1) = 2 * (2 * n + 1) * centralBinom n :=
calc
(n + 1) * (2 * (n + 1)).choose (n + 1) = (2 * n + 2).choose (n + 1) * (n + 1) := mul_comm _ _
_ = (2 * n + 1).choose n * (2 * n + 2) := by rw [choose_succ_right_eq, choose_mul_succ_eq]
_ = 2 * ((2 * n + 1).choose n * (n + 1)) := by ring
_ = 2 * ((2 * n + 1).choose n * (2 * n + 1 - n)) := by rw [two_mul n, add_assoc,
Nat.add_sub_cancel_left]
_ = 2 * ((2 * n).choose n * (2 * n + 1)) := by rw [choose_mul_succ_eq]
_ = 2 * (2 * n + 1) * (2 * n).choose n := by rw [mul_assoc, mul_comm (2 * n + 1)]
#align nat.succ_mul_central_binom_succ Nat.succ_mul_centralBinom_succ
theorem four_pow_lt_mul_centralBinom (n : ℕ) (n_big : 4 ≤ n) : 4 ^ n < n * centralBinom n := by
induction' n using Nat.strong_induction_on with n IH
rcases lt_trichotomy n 4 with (hn | rfl | hn)
· clear IH; exact False.elim ((not_lt.2 n_big) hn)
· norm_num [centralBinom, choose]
obtain ⟨n, rfl⟩ : ∃ m, n = m + 1 := Nat.exists_eq_succ_of_ne_zero (Nat.not_eq_zero_of_lt hn)
calc
4 ^ (n + 1) < 4 * (n * centralBinom n) := lt_of_eq_of_lt pow_succ' <|
(mul_lt_mul_left <| zero_lt_four' ℕ).mpr (IH n n.lt_succ_self (Nat.le_of_lt_succ hn))
_ ≤ 2 * (2 * n + 1) * centralBinom n := by rw [← mul_assoc]; linarith
_ = (n + 1) * centralBinom (n + 1) := (succ_mul_centralBinom_succ n).symm
#align nat.four_pow_lt_mul_central_binom Nat.four_pow_lt_mul_centralBinom
theorem four_pow_le_two_mul_self_mul_centralBinom :
∀ (n : ℕ) (_ : 0 < n), 4 ^ n ≤ 2 * n * centralBinom n
| 0, pr => (Nat.not_lt_zero _ pr).elim
| 1, _ => by norm_num [centralBinom, choose]
| 2, _ => by norm_num [centralBinom, choose]
| 3, _ => by norm_num [centralBinom, choose]
| n + 4, _ =>
calc
4 ^ (n+4) ≤ (n+4) * centralBinom (n+4) := (four_pow_lt_mul_centralBinom _ le_add_self).le
_ ≤ 2 * (n+4) * centralBinom (n+4) := by
rw [mul_assoc]; refine Nat.le_mul_of_pos_left _ zero_lt_two
#align nat.four_pow_le_two_mul_self_mul_central_binom Nat.four_pow_le_two_mul_self_mul_centralBinom
| Mathlib/Data/Nat/Choose/Central.lean | 118 | 121 | theorem two_dvd_centralBinom_succ (n : ℕ) : 2 ∣ centralBinom (n + 1) := by |
use (n + 1 + n).choose n
rw [centralBinom_eq_two_mul_choose, two_mul, ← add_assoc,
choose_succ_succ' (n + 1 + n) n, choose_symm_add, ← two_mul]
|
import Mathlib.CategoryTheory.Subobject.Lattice
#align_import category_theory.subobject.limits from "leanprover-community/mathlib"@"956af7c76589f444f2e1313911bad16366ea476d"
universe v u
noncomputable section
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Subobject Opposite
variable {C : Type u} [Category.{v} C] {X Y Z : C}
namespace CategoryTheory
namespace Limits
section Kernel
variable [HasZeroMorphisms C] (f : X ⟶ Y) [HasKernel f]
abbrev kernelSubobject : Subobject X :=
Subobject.mk (kernel.ι f)
#align category_theory.limits.kernel_subobject CategoryTheory.Limits.kernelSubobject
def kernelSubobjectIso : (kernelSubobject f : C) ≅ kernel f :=
Subobject.underlyingIso (kernel.ι f)
#align category_theory.limits.kernel_subobject_iso CategoryTheory.Limits.kernelSubobjectIso
@[reassoc (attr := simp), elementwise (attr := simp)]
theorem kernelSubobject_arrow :
(kernelSubobjectIso f).hom ≫ kernel.ι f = (kernelSubobject f).arrow := by
simp [kernelSubobjectIso]
#align category_theory.limits.kernel_subobject_arrow CategoryTheory.Limits.kernelSubobject_arrow
@[reassoc (attr := simp), elementwise (attr := simp)]
theorem kernelSubobject_arrow' :
(kernelSubobjectIso f).inv ≫ (kernelSubobject f).arrow = kernel.ι f := by
simp [kernelSubobjectIso]
#align category_theory.limits.kernel_subobject_arrow' CategoryTheory.Limits.kernelSubobject_arrow'
@[reassoc (attr := simp), elementwise (attr := simp)]
theorem kernelSubobject_arrow_comp : (kernelSubobject f).arrow ≫ f = 0 := by
rw [← kernelSubobject_arrow]
simp only [Category.assoc, kernel.condition, comp_zero]
#align category_theory.limits.kernel_subobject_arrow_comp CategoryTheory.Limits.kernelSubobject_arrow_comp
theorem kernelSubobject_factors {W : C} (h : W ⟶ X) (w : h ≫ f = 0) :
(kernelSubobject f).Factors h :=
⟨kernel.lift _ h w, by simp⟩
#align category_theory.limits.kernel_subobject_factors CategoryTheory.Limits.kernelSubobject_factors
theorem kernelSubobject_factors_iff {W : C} (h : W ⟶ X) :
(kernelSubobject f).Factors h ↔ h ≫ f = 0 :=
⟨fun w => by
rw [← Subobject.factorThru_arrow _ _ w, Category.assoc, kernelSubobject_arrow_comp,
comp_zero],
kernelSubobject_factors f h⟩
#align category_theory.limits.kernel_subobject_factors_iff CategoryTheory.Limits.kernelSubobject_factors_iff
def factorThruKernelSubobject {W : C} (h : W ⟶ X) (w : h ≫ f = 0) : W ⟶ kernelSubobject f :=
(kernelSubobject f).factorThru h (kernelSubobject_factors f h w)
#align category_theory.limits.factor_thru_kernel_subobject CategoryTheory.Limits.factorThruKernelSubobject
@[simp]
theorem factorThruKernelSubobject_comp_arrow {W : C} (h : W ⟶ X) (w : h ≫ f = 0) :
factorThruKernelSubobject f h w ≫ (kernelSubobject f).arrow = h := by
dsimp [factorThruKernelSubobject]
simp
#align category_theory.limits.factor_thru_kernel_subobject_comp_arrow CategoryTheory.Limits.factorThruKernelSubobject_comp_arrow
@[simp]
theorem factorThruKernelSubobject_comp_kernelSubobjectIso {W : C} (h : W ⟶ X) (w : h ≫ f = 0) :
factorThruKernelSubobject f h w ≫ (kernelSubobjectIso f).hom = kernel.lift f h w :=
(cancel_mono (kernel.ι f)).1 <| by simp
#align category_theory.limits.factor_thru_kernel_subobject_comp_kernel_subobject_iso CategoryTheory.Limits.factorThruKernelSubobject_comp_kernelSubobjectIso
section
variable {f} {X' Y' : C} {f' : X' ⟶ Y'} [HasKernel f']
def kernelSubobjectMap (sq : Arrow.mk f ⟶ Arrow.mk f') :
(kernelSubobject f : C) ⟶ (kernelSubobject f' : C) :=
Subobject.factorThru _ ((kernelSubobject f).arrow ≫ sq.left)
(kernelSubobject_factors _ _ (by simp [sq.w]))
#align category_theory.limits.kernel_subobject_map CategoryTheory.Limits.kernelSubobjectMap
@[reassoc (attr := simp), elementwise (attr := simp)]
theorem kernelSubobjectMap_arrow (sq : Arrow.mk f ⟶ Arrow.mk f') :
kernelSubobjectMap sq ≫ (kernelSubobject f').arrow = (kernelSubobject f).arrow ≫ sq.left := by
simp [kernelSubobjectMap]
#align category_theory.limits.kernel_subobject_map_arrow CategoryTheory.Limits.kernelSubobjectMap_arrow
@[simp]
theorem kernelSubobjectMap_id : kernelSubobjectMap (𝟙 (Arrow.mk f)) = 𝟙 _ := by aesop_cat
#align category_theory.limits.kernel_subobject_map_id CategoryTheory.Limits.kernelSubobjectMap_id
@[simp]
| Mathlib/CategoryTheory/Subobject/Limits.lean | 168 | 171 | theorem kernelSubobjectMap_comp {X'' Y'' : C} {f'' : X'' ⟶ Y''} [HasKernel f'']
(sq : Arrow.mk f ⟶ Arrow.mk f') (sq' : Arrow.mk f' ⟶ Arrow.mk f'') :
kernelSubobjectMap (sq ≫ sq') = kernelSubobjectMap sq ≫ kernelSubobjectMap sq' := by |
aesop_cat
|
import Mathlib.MeasureTheory.Integral.IntegralEqImproper
#align_import measure_theory.integral.peak_function from "leanprover-community/mathlib"@"13b0d72fd8533ba459ac66e9a885e35ffabb32b2"
open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace Metric
open scoped Topology ENNReal
open Set
variable {α E ι : Type*} {hm : MeasurableSpace α} {μ : Measure α} [TopologicalSpace α]
[BorelSpace α] [NormedAddCommGroup E] [NormedSpace ℝ E] {g : α → E} {l : Filter ι} {x₀ : α}
{s t : Set α} {φ : ι → α → ℝ} {a : E}
| Mathlib/MeasureTheory/Integral/PeakFunction.lean | 54 | 86 | theorem integrableOn_peak_smul_of_integrableOn_of_tendsto
(hs : MeasurableSet s) (h'st : t ∈ 𝓝[s] x₀)
(hlφ : ∀ u : Set α, IsOpen u → x₀ ∈ u → TendstoUniformlyOn φ 0 l (s \ u))
(hiφ : Tendsto (fun i ↦ ∫ x in t, φ i x ∂μ) l (𝓝 1))
(h'iφ : ∀ᶠ i in l, AEStronglyMeasurable (φ i) (μ.restrict s))
(hmg : IntegrableOn g s μ) (hcg : Tendsto g (𝓝[s] x₀) (𝓝 a)) :
∀ᶠ i in l, IntegrableOn (fun x => φ i x • g x) s μ := by |
obtain ⟨u, u_open, x₀u, ut, hu⟩ :
∃ u, IsOpen u ∧ x₀ ∈ u ∧ s ∩ u ⊆ t ∧ ∀ x ∈ u ∩ s, g x ∈ ball a 1 := by
rcases mem_nhdsWithin.1 (Filter.inter_mem h'st (hcg (ball_mem_nhds _ zero_lt_one)))
with ⟨u, u_open, x₀u, hu⟩
refine ⟨u, u_open, x₀u, ?_, hu.trans inter_subset_right⟩
rw [inter_comm]
exact hu.trans inter_subset_left
rw [tendsto_iff_norm_sub_tendsto_zero] at hiφ
filter_upwards [tendstoUniformlyOn_iff.1 (hlφ u u_open x₀u) 1 zero_lt_one,
(tendsto_order.1 hiφ).2 1 zero_lt_one, h'iφ] with i hi h'i h''i
have I : IntegrableOn (φ i) t μ := .of_integral_ne_zero (fun h ↦ by simp [h] at h'i)
have A : IntegrableOn (fun x => φ i x • g x) (s \ u) μ := by
refine Integrable.smul_of_top_right (hmg.mono diff_subset le_rfl) ?_
apply memℒp_top_of_bound (h''i.mono_set diff_subset) 1
filter_upwards [self_mem_ae_restrict (hs.diff u_open.measurableSet)] with x hx
simpa only [Pi.zero_apply, dist_zero_left] using (hi x hx).le
have B : IntegrableOn (fun x => φ i x • g x) (s ∩ u) μ := by
apply Integrable.smul_of_top_left
· exact IntegrableOn.mono_set I ut
· apply
memℒp_top_of_bound (hmg.mono_set inter_subset_left).aestronglyMeasurable (‖a‖ + 1)
filter_upwards [self_mem_ae_restrict (hs.inter u_open.measurableSet)] with x hx
rw [inter_comm] at hx
exact (norm_lt_of_mem_ball (hu x hx)).le
convert A.union B
simp only [diff_union_inter]
|
import Batteries.Classes.Order
namespace Batteries.PairingHeapImp
inductive Heap (α : Type u) where
| nil : Heap α
| node (a : α) (child sibling : Heap α) : Heap α
deriving Repr
def Heap.size : Heap α → Nat
| .nil => 0
| .node _ c s => c.size + 1 + s.size
def Heap.singleton (a : α) : Heap α := .node a .nil .nil
def Heap.isEmpty : Heap α → Bool
| .nil => true
| _ => false
@[specialize] def Heap.merge (le : α → α → Bool) : Heap α → Heap α → Heap α
| .nil, .nil => .nil
| .nil, .node a₂ c₂ _ => .node a₂ c₂ .nil
| .node a₁ c₁ _, .nil => .node a₁ c₁ .nil
| .node a₁ c₁ _, .node a₂ c₂ _ =>
if le a₁ a₂ then .node a₁ (.node a₂ c₂ c₁) .nil else .node a₂ (.node a₁ c₁ c₂) .nil
@[specialize] def Heap.combine (le : α → α → Bool) : Heap α → Heap α
| h₁@(.node _ _ h₂@(.node _ _ s)) => merge le (merge le h₁ h₂) (s.combine le)
| h => h
@[inline] def Heap.headD (a : α) : Heap α → α
| .nil => a
| .node a _ _ => a
@[inline] def Heap.head? : Heap α → Option α
| .nil => none
| .node a _ _ => some a
@[inline] def Heap.deleteMin (le : α → α → Bool) : Heap α → Option (α × Heap α)
| .nil => none
| .node a c _ => (a, combine le c)
@[inline] def Heap.tail? (le : α → α → Bool) (h : Heap α) : Option (Heap α) :=
deleteMin le h |>.map (·.snd)
@[inline] def Heap.tail (le : α → α → Bool) (h : Heap α) : Heap α :=
tail? le h |>.getD .nil
inductive Heap.NoSibling : Heap α → Prop
| nil : NoSibling .nil
| node (a c) : NoSibling (.node a c .nil)
instance : Decidable (Heap.NoSibling s) :=
match s with
| .nil => isTrue .nil
| .node a c .nil => isTrue (.node a c)
| .node _ _ (.node _ _ _) => isFalse nofun
theorem Heap.noSibling_merge (le) (s₁ s₂ : Heap α) :
(s₁.merge le s₂).NoSibling := by
unfold merge
(split <;> try split) <;> constructor
theorem Heap.noSibling_combine (le) (s : Heap α) :
(s.combine le).NoSibling := by
unfold combine; split
· exact noSibling_merge _ _ _
· match s with
| nil | node _ _ nil => constructor
| node _ _ (node _ _ s) => rename_i h; exact (h _ _ _ _ _ rfl).elim
theorem Heap.noSibling_deleteMin {s : Heap α} (eq : s.deleteMin le = some (a, s')) :
s'.NoSibling := by
cases s with cases eq | node a c => exact noSibling_combine _ _
theorem Heap.noSibling_tail? {s : Heap α} : s.tail? le = some s' →
s'.NoSibling := by
simp only [Heap.tail?]; intro eq
match eq₂ : s.deleteMin le, eq with
| some (a, tl), rfl => exact noSibling_deleteMin eq₂
theorem Heap.noSibling_tail (le) (s : Heap α) : (s.tail le).NoSibling := by
simp only [Heap.tail]
match eq : s.tail? le with
| none => cases s with cases eq | nil => constructor
| some tl => exact Heap.noSibling_tail? eq
theorem Heap.size_merge_node (le) (a₁ : α) (c₁ s₁ : Heap α) (a₂ : α) (c₂ s₂ : Heap α) :
(merge le (.node a₁ c₁ s₁) (.node a₂ c₂ s₂)).size = c₁.size + c₂.size + 2 := by
unfold merge; dsimp; split <;> simp_arith [size]
| .lake/packages/batteries/Batteries/Data/PairingHeap.lean | 123 | 127 | theorem Heap.size_merge (le) {s₁ s₂ : Heap α} (h₁ : s₁.NoSibling) (h₂ : s₂.NoSibling) :
(merge le s₁ s₂).size = s₁.size + s₂.size := by |
match h₁, h₂ with
| .nil, .nil | .nil, .node _ _ | .node _ _, .nil => simp [size]
| .node _ _, .node _ _ => unfold merge; dsimp; split <;> simp_arith [size]
|
import Mathlib.Data.Finset.Grade
import Mathlib.Order.Interval.Finset.Basic
#align_import data.finset.interval from "leanprover-community/mathlib"@"98e83c3d541c77cdb7da20d79611a780ff8e7d90"
variable {α β : Type*}
namespace Finset
section Decidable
variable [DecidableEq α] (s t : Finset α)
instance instLocallyFiniteOrder : LocallyFiniteOrder (Finset α) where
finsetIcc s t := t.powerset.filter (s ⊆ ·)
finsetIco s t := t.ssubsets.filter (s ⊆ ·)
finsetIoc s t := t.powerset.filter (s ⊂ ·)
finsetIoo s t := t.ssubsets.filter (s ⊂ ·)
finset_mem_Icc s t u := by
rw [mem_filter, mem_powerset]
exact and_comm
finset_mem_Ico s t u := by
rw [mem_filter, mem_ssubsets]
exact and_comm
finset_mem_Ioc s t u := by
rw [mem_filter, mem_powerset]
exact and_comm
finset_mem_Ioo s t u := by
rw [mem_filter, mem_ssubsets]
exact and_comm
theorem Icc_eq_filter_powerset : Icc s t = t.powerset.filter (s ⊆ ·) :=
rfl
#align finset.Icc_eq_filter_powerset Finset.Icc_eq_filter_powerset
theorem Ico_eq_filter_ssubsets : Ico s t = t.ssubsets.filter (s ⊆ ·) :=
rfl
#align finset.Ico_eq_filter_ssubsets Finset.Ico_eq_filter_ssubsets
theorem Ioc_eq_filter_powerset : Ioc s t = t.powerset.filter (s ⊂ ·) :=
rfl
#align finset.Ioc_eq_filter_powerset Finset.Ioc_eq_filter_powerset
theorem Ioo_eq_filter_ssubsets : Ioo s t = t.ssubsets.filter (s ⊂ ·) :=
rfl
#align finset.Ioo_eq_filter_ssubsets Finset.Ioo_eq_filter_ssubsets
theorem Iic_eq_powerset : Iic s = s.powerset :=
filter_true_of_mem fun t _ => empty_subset t
#align finset.Iic_eq_powerset Finset.Iic_eq_powerset
theorem Iio_eq_ssubsets : Iio s = s.ssubsets :=
filter_true_of_mem fun t _ => empty_subset t
#align finset.Iio_eq_ssubsets Finset.Iio_eq_ssubsets
variable {s t}
theorem Icc_eq_image_powerset (h : s ⊆ t) : Icc s t = (t \ s).powerset.image (s ∪ ·) := by
ext u
simp_rw [mem_Icc, mem_image, mem_powerset]
constructor
· rintro ⟨hs, ht⟩
exact ⟨u \ s, sdiff_le_sdiff_right ht, sup_sdiff_cancel_right hs⟩
· rintro ⟨v, hv, rfl⟩
exact ⟨le_sup_left, union_subset h <| hv.trans sdiff_subset⟩
#align finset.Icc_eq_image_powerset Finset.Icc_eq_image_powerset
theorem Ico_eq_image_ssubsets (h : s ⊆ t) : Ico s t = (t \ s).ssubsets.image (s ∪ ·) := by
ext u
simp_rw [mem_Ico, mem_image, mem_ssubsets]
constructor
· rintro ⟨hs, ht⟩
exact ⟨u \ s, sdiff_lt_sdiff_right ht hs, sup_sdiff_cancel_right hs⟩
· rintro ⟨v, hv, rfl⟩
exact ⟨le_sup_left, sup_lt_of_lt_sdiff_left hv h⟩
#align finset.Ico_eq_image_ssubsets Finset.Ico_eq_image_ssubsets
theorem card_Icc_finset (h : s ⊆ t) : (Icc s t).card = 2 ^ (t.card - s.card) := by
rw [← card_sdiff h, ← card_powerset, Icc_eq_image_powerset h, Finset.card_image_iff]
rintro u hu v hv (huv : s ⊔ u = s ⊔ v)
rw [mem_coe, mem_powerset] at hu hv
rw [← (disjoint_sdiff.mono_right hu : Disjoint s u).sup_sdiff_cancel_left, ←
(disjoint_sdiff.mono_right hv : Disjoint s v).sup_sdiff_cancel_left, huv]
#align finset.card_Icc_finset Finset.card_Icc_finset
theorem card_Ico_finset (h : s ⊆ t) : (Ico s t).card = 2 ^ (t.card - s.card) - 1 := by
rw [card_Ico_eq_card_Icc_sub_one, card_Icc_finset h]
#align finset.card_Ico_finset Finset.card_Ico_finset
theorem card_Ioc_finset (h : s ⊆ t) : (Ioc s t).card = 2 ^ (t.card - s.card) - 1 := by
rw [card_Ioc_eq_card_Icc_sub_one, card_Icc_finset h]
#align finset.card_Ioc_finset Finset.card_Ioc_finset
theorem card_Ioo_finset (h : s ⊆ t) : (Ioo s t).card = 2 ^ (t.card - s.card) - 2 := by
rw [card_Ioo_eq_card_Icc_sub_two, card_Icc_finset h]
#align finset.card_Ioo_finset Finset.card_Ioo_finset
| Mathlib/Data/Finset/Interval.lean | 125 | 125 | theorem card_Iic_finset : (Iic s).card = 2 ^ s.card := by | rw [Iic_eq_powerset, card_powerset]
|
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]
| Mathlib/Computability/TuringMachine.lean | 594 | 597 | 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]
|
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.MeasureTheory.Constructions.BorelSpace.ContinuousLinearMap
import Mathlib.MeasureTheory.Covering.BesicovitchVectorSpace
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
import Mathlib.Analysis.NormedSpace.Pointwise
import Mathlib.MeasureTheory.Constructions.Polish
import Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn
#align_import measure_theory.function.jacobian from "leanprover-community/mathlib"@"b84aee748341da06a6d78491367e2c0e9f15e8a5"
open MeasureTheory MeasureTheory.Measure Metric Filter Set FiniteDimensional Asymptotics
TopologicalSpace
open scoped NNReal ENNReal Topology Pointwise
variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
[NormedAddCommGroup F] [NormedSpace ℝ F] {s : Set E} {f : E → E} {f' : E → E →L[ℝ] E}
theorem exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt [SecondCountableTopology F]
(f : E → F) (s : Set E) (f' : E → E →L[ℝ] F) (hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x)
(r : (E →L[ℝ] F) → ℝ≥0) (rpos : ∀ A, r A ≠ 0) :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] F),
(∀ n, IsClosed (t n)) ∧
(s ⊆ ⋃ n, t n) ∧
(∀ n, ApproximatesLinearOn f (A n) (s ∩ t n) (r (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) := by
-- exclude the trivial case where `s` is empty
rcases eq_empty_or_nonempty s with (rfl | hs)
· refine ⟨fun _ => ∅, fun _ => 0, ?_, ?_, ?_, ?_⟩ <;> simp
-- we will use countably many linear maps. Select these from all the derivatives since the
-- space of linear maps is second-countable
obtain ⟨T, T_count, hT⟩ :
∃ T : Set s,
T.Countable ∧ ⋃ x ∈ T, ball (f' (x : E)) (r (f' x)) = ⋃ x : s, ball (f' x) (r (f' x)) :=
TopologicalSpace.isOpen_iUnion_countable _ fun x => isOpen_ball
-- fix a sequence `u` of positive reals tending to zero.
obtain ⟨u, _, u_pos, u_lim⟩ :
∃ u : ℕ → ℝ, StrictAnti u ∧ (∀ n : ℕ, 0 < u n) ∧ Tendsto u atTop (𝓝 0) :=
exists_seq_strictAnti_tendsto (0 : ℝ)
-- `M n z` is the set of points `x` such that `f y - f x` is close to `f' z (y - x)` for `y`
-- in the ball of radius `u n` around `x`.
let M : ℕ → T → Set E := fun n z =>
{x | x ∈ s ∧ ∀ y ∈ s ∩ ball x (u n), ‖f y - f x - f' z (y - x)‖ ≤ r (f' z) * ‖y - x‖}
-- As `f` is differentiable everywhere on `s`, the sets `M n z` cover `s` by design.
have s_subset : ∀ x ∈ s, ∃ (n : ℕ) (z : T), x ∈ M n z := by
intro x xs
obtain ⟨z, zT, hz⟩ : ∃ z ∈ T, f' x ∈ ball (f' (z : E)) (r (f' z)) := by
have : f' x ∈ ⋃ z ∈ T, ball (f' (z : E)) (r (f' z)) := by
rw [hT]
refine mem_iUnion.2 ⟨⟨x, xs⟩, ?_⟩
simpa only [mem_ball, Subtype.coe_mk, dist_self] using (rpos (f' x)).bot_lt
rwa [mem_iUnion₂, bex_def] at this
obtain ⟨ε, εpos, hε⟩ : ∃ ε : ℝ, 0 < ε ∧ ‖f' x - f' z‖ + ε ≤ r (f' z) := by
refine ⟨r (f' z) - ‖f' x - f' z‖, ?_, le_of_eq (by abel)⟩
simpa only [sub_pos] using mem_ball_iff_norm.mp hz
obtain ⟨δ, δpos, hδ⟩ :
∃ (δ : ℝ), 0 < δ ∧ ball x δ ∩ s ⊆ {y | ‖f y - f x - (f' x) (y - x)‖ ≤ ε * ‖y - x‖} :=
Metric.mem_nhdsWithin_iff.1 ((hf' x xs).isLittleO.def εpos)
obtain ⟨n, hn⟩ : ∃ n, u n < δ := ((tendsto_order.1 u_lim).2 _ δpos).exists
refine ⟨n, ⟨z, zT⟩, ⟨xs, ?_⟩⟩
intro y hy
calc
‖f y - f x - (f' z) (y - x)‖ = ‖f y - f x - (f' x) (y - x) + (f' x - f' z) (y - x)‖ := by
congr 1
simp only [ContinuousLinearMap.coe_sub', map_sub, Pi.sub_apply]
abel
_ ≤ ‖f y - f x - (f' x) (y - x)‖ + ‖(f' x - f' z) (y - x)‖ := norm_add_le _ _
_ ≤ ε * ‖y - x‖ + ‖f' x - f' z‖ * ‖y - x‖ := by
refine add_le_add (hδ ?_) (ContinuousLinearMap.le_opNorm _ _)
rw [inter_comm]
exact inter_subset_inter_right _ (ball_subset_ball hn.le) hy
_ ≤ r (f' z) * ‖y - x‖ := by
rw [← add_mul, add_comm]
gcongr
-- the sets `M n z` are relatively closed in `s`, as all the conditions defining it are clearly
-- closed
have closure_M_subset : ∀ n z, s ∩ closure (M n z) ⊆ M n z := by
rintro n z x ⟨xs, hx⟩
refine ⟨xs, fun y hy => ?_⟩
obtain ⟨a, aM, a_lim⟩ : ∃ a : ℕ → E, (∀ k, a k ∈ M n z) ∧ Tendsto a atTop (𝓝 x) :=
mem_closure_iff_seq_limit.1 hx
have L1 :
Tendsto (fun k : ℕ => ‖f y - f (a k) - (f' z) (y - a k)‖) atTop
(𝓝 ‖f y - f x - (f' z) (y - x)‖) := by
apply Tendsto.norm
have L : Tendsto (fun k => f (a k)) atTop (𝓝 (f x)) := by
apply (hf' x xs).continuousWithinAt.tendsto.comp
apply tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ a_lim
exact eventually_of_forall fun k => (aM k).1
apply Tendsto.sub (tendsto_const_nhds.sub L)
exact ((f' z).continuous.tendsto _).comp (tendsto_const_nhds.sub a_lim)
have L2 : Tendsto (fun k : ℕ => (r (f' z) : ℝ) * ‖y - a k‖) atTop (𝓝 (r (f' z) * ‖y - x‖)) :=
(tendsto_const_nhds.sub a_lim).norm.const_mul _
have I : ∀ᶠ k in atTop, ‖f y - f (a k) - (f' z) (y - a k)‖ ≤ r (f' z) * ‖y - a k‖ := by
have L : Tendsto (fun k => dist y (a k)) atTop (𝓝 (dist y x)) :=
tendsto_const_nhds.dist a_lim
filter_upwards [(tendsto_order.1 L).2 _ hy.2]
intro k hk
exact (aM k).2 y ⟨hy.1, hk⟩
exact le_of_tendsto_of_tendsto L1 L2 I
-- choose a dense sequence `d p`
rcases TopologicalSpace.exists_dense_seq E with ⟨d, hd⟩
-- split `M n z` into subsets `K n z p` of small diameters by intersecting with the ball
-- `closedBall (d p) (u n / 3)`.
let K : ℕ → T → ℕ → Set E := fun n z p => closure (M n z) ∩ closedBall (d p) (u n / 3)
-- on the sets `K n z p`, the map `f` is well approximated by `f' z` by design.
have K_approx : ∀ (n) (z : T) (p), ApproximatesLinearOn f (f' z) (s ∩ K n z p) (r (f' z)) := by
intro n z p x hx y hy
have yM : y ∈ M n z := closure_M_subset _ _ ⟨hy.1, hy.2.1⟩
refine yM.2 _ ⟨hx.1, ?_⟩
calc
dist x y ≤ dist x (d p) + dist y (d p) := dist_triangle_right _ _ _
_ ≤ u n / 3 + u n / 3 := add_le_add hx.2.2 hy.2.2
_ < u n := by linarith [u_pos n]
-- the sets `K n z p` are also closed, again by design.
have K_closed : ∀ (n) (z : T) (p), IsClosed (K n z p) := fun n z p =>
isClosed_closure.inter isClosed_ball
-- reindex the sets `K n z p`, to let them only depend on an integer parameter `q`.
obtain ⟨F, hF⟩ : ∃ F : ℕ → ℕ × T × ℕ, Function.Surjective F := by
haveI : Encodable T := T_count.toEncodable
have : Nonempty T := by
rcases hs with ⟨x, xs⟩
rcases s_subset x xs with ⟨n, z, _⟩
exact ⟨z⟩
inhabit ↥T
exact ⟨_, Encodable.surjective_decode_iget (ℕ × T × ℕ)⟩
-- these sets `t q = K n z p` will do
refine
⟨fun q => K (F q).1 (F q).2.1 (F q).2.2, fun q => f' (F q).2.1, fun n => K_closed _ _ _,
fun x xs => ?_, fun q => K_approx _ _ _, fun _ q => ⟨(F q).2.1, (F q).2.1.1.2, rfl⟩⟩
-- the only fact that needs further checking is that they cover `s`.
-- we already know that any point `x ∈ s` belongs to a set `M n z`.
obtain ⟨n, z, hnz⟩ : ∃ (n : ℕ) (z : T), x ∈ M n z := s_subset x xs
-- by density, it also belongs to a ball `closedBall (d p) (u n / 3)`.
obtain ⟨p, hp⟩ : ∃ p : ℕ, x ∈ closedBall (d p) (u n / 3) := by
have : Set.Nonempty (ball x (u n / 3)) := by simp only [nonempty_ball]; linarith [u_pos n]
obtain ⟨p, hp⟩ : ∃ p : ℕ, d p ∈ ball x (u n / 3) := hd.exists_mem_open isOpen_ball this
exact ⟨p, (mem_ball'.1 hp).le⟩
-- choose `q` for which `t q = K n z p`.
obtain ⟨q, hq⟩ : ∃ q, F q = (n, z, p) := hF _
-- then `x` belongs to `t q`.
apply mem_iUnion.2 ⟨q, _⟩
simp (config := { zeta := false }) only [K, hq, mem_inter_iff, hp, and_true]
exact subset_closure hnz
#align exists_closed_cover_approximates_linear_on_of_has_fderiv_within_at exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt
variable [MeasurableSpace E] [BorelSpace E] (μ : Measure E) [IsAddHaarMeasure μ]
theorem exists_partition_approximatesLinearOn_of_hasFDerivWithinAt [SecondCountableTopology F]
(f : E → F) (s : Set E) (f' : E → E →L[ℝ] F) (hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x)
(r : (E →L[ℝ] F) → ℝ≥0) (rpos : ∀ A, r A ≠ 0) :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] F),
Pairwise (Disjoint on t) ∧
(∀ n, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n, t n) ∧
(∀ n, ApproximatesLinearOn f (A n) (s ∩ t n) (r (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) := by
rcases exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' r rpos with
⟨t, A, t_closed, st, t_approx, ht⟩
refine
⟨disjointed t, A, disjoint_disjointed _,
MeasurableSet.disjointed fun n => (t_closed n).measurableSet, ?_, ?_, ht⟩
· rw [iUnion_disjointed]; exact st
· intro n; exact (t_approx n).mono_set (inter_subset_inter_right _ (disjointed_subset _ _))
#align exists_partition_approximates_linear_on_of_has_fderiv_within_at exists_partition_approximatesLinearOn_of_hasFDerivWithinAt
namespace MeasureTheory
theorem addHaar_image_le_mul_of_det_lt (A : E →L[ℝ] E) {m : ℝ≥0}
(hm : ENNReal.ofReal |A.det| < m) :
∀ᶠ δ in 𝓝[>] (0 : ℝ≥0),
∀ (s : Set E) (f : E → E), ApproximatesLinearOn f A s δ → μ (f '' s) ≤ m * μ s := by
apply nhdsWithin_le_nhds
let d := ENNReal.ofReal |A.det|
-- construct a small neighborhood of `A '' (closedBall 0 1)` with measure comparable to
-- the determinant of `A`.
obtain ⟨ε, hε, εpos⟩ :
∃ ε : ℝ, μ (closedBall 0 ε + A '' closedBall 0 1) < m * μ (closedBall 0 1) ∧ 0 < ε := by
have HC : IsCompact (A '' closedBall 0 1) :=
(ProperSpace.isCompact_closedBall _ _).image A.continuous
have L0 :
Tendsto (fun ε => μ (cthickening ε (A '' closedBall 0 1))) (𝓝[>] 0)
(𝓝 (μ (A '' closedBall 0 1))) := by
apply Tendsto.mono_left _ nhdsWithin_le_nhds
exact tendsto_measure_cthickening_of_isCompact HC
have L1 :
Tendsto (fun ε => μ (closedBall 0 ε + A '' closedBall 0 1)) (𝓝[>] 0)
(𝓝 (μ (A '' closedBall 0 1))) := by
apply L0.congr' _
filter_upwards [self_mem_nhdsWithin] with r hr
rw [← HC.add_closedBall_zero (le_of_lt hr), add_comm]
have L2 :
Tendsto (fun ε => μ (closedBall 0 ε + A '' closedBall 0 1)) (𝓝[>] 0)
(𝓝 (d * μ (closedBall 0 1))) := by
convert L1
exact (addHaar_image_continuousLinearMap _ _ _).symm
have I : d * μ (closedBall 0 1) < m * μ (closedBall 0 1) :=
(ENNReal.mul_lt_mul_right (measure_closedBall_pos μ _ zero_lt_one).ne'
measure_closedBall_lt_top.ne).2
hm
have H :
∀ᶠ b : ℝ in 𝓝[>] 0, μ (closedBall 0 b + A '' closedBall 0 1) < m * μ (closedBall 0 1) :=
(tendsto_order.1 L2).2 _ I
exact (H.and self_mem_nhdsWithin).exists
have : Iio (⟨ε, εpos.le⟩ : ℝ≥0) ∈ 𝓝 (0 : ℝ≥0) := by apply Iio_mem_nhds; exact εpos
filter_upwards [this]
-- fix a function `f` which is close enough to `A`.
intro δ hδ s f hf
simp only [mem_Iio, ← NNReal.coe_lt_coe, NNReal.coe_mk] at hδ
-- This function expands the volume of any ball by at most `m`
have I : ∀ x r, x ∈ s → 0 ≤ r → μ (f '' (s ∩ closedBall x r)) ≤ m * μ (closedBall x r) := by
intro x r xs r0
have K : f '' (s ∩ closedBall x r) ⊆ A '' closedBall 0 r + closedBall (f x) (ε * r) := by
rintro y ⟨z, ⟨zs, zr⟩, rfl⟩
rw [mem_closedBall_iff_norm] at zr
apply Set.mem_add.2 ⟨A (z - x), _, f z - f x - A (z - x) + f x, _, _⟩
· apply mem_image_of_mem
simpa only [dist_eq_norm, mem_closedBall, mem_closedBall_zero_iff, sub_zero] using zr
· rw [mem_closedBall_iff_norm, add_sub_cancel_right]
calc
‖f z - f x - A (z - x)‖ ≤ δ * ‖z - x‖ := hf _ zs _ xs
_ ≤ ε * r := by gcongr
· simp only [map_sub, Pi.sub_apply]
abel
have :
A '' closedBall 0 r + closedBall (f x) (ε * r) =
{f x} + r • (A '' closedBall 0 1 + closedBall 0 ε) := by
rw [smul_add, ← add_assoc, add_comm {f x}, add_assoc, smul_closedBall _ _ εpos.le, smul_zero,
singleton_add_closedBall_zero, ← image_smul_set ℝ E E A, smul_closedBall _ _ zero_le_one,
smul_zero, Real.norm_eq_abs, abs_of_nonneg r0, mul_one, mul_comm]
rw [this] at K
calc
μ (f '' (s ∩ closedBall x r)) ≤ μ ({f x} + r • (A '' closedBall 0 1 + closedBall 0 ε)) :=
measure_mono K
_ = ENNReal.ofReal (r ^ finrank ℝ E) * μ (A '' closedBall 0 1 + closedBall 0 ε) := by
simp only [abs_of_nonneg r0, addHaar_smul, image_add_left, abs_pow, singleton_add,
measure_preimage_add]
_ ≤ ENNReal.ofReal (r ^ finrank ℝ E) * (m * μ (closedBall 0 1)) := by
rw [add_comm]; gcongr
_ = m * μ (closedBall x r) := by simp only [addHaar_closedBall' μ _ r0]; ring
-- covering `s` by closed balls with total measure very close to `μ s`, one deduces that the
-- measure of `f '' s` is at most `m * (μ s + a)` for any positive `a`.
have J : ∀ᶠ a in 𝓝[>] (0 : ℝ≥0∞), μ (f '' s) ≤ m * (μ s + a) := by
filter_upwards [self_mem_nhdsWithin] with a ha
rw [mem_Ioi] at ha
obtain ⟨t, r, t_count, ts, rpos, st, μt⟩ :
∃ (t : Set E) (r : E → ℝ),
t.Countable ∧
t ⊆ s ∧
(∀ x : E, x ∈ t → 0 < r x) ∧
(s ⊆ ⋃ x ∈ t, closedBall x (r x)) ∧
(∑' x : ↥t, μ (closedBall (↑x) (r ↑x))) ≤ μ s + a :=
Besicovitch.exists_closedBall_covering_tsum_measure_le μ ha.ne' (fun _ => Ioi 0) s
fun x _ δ δpos => ⟨δ / 2, by simp [half_pos δpos, δpos]⟩
haveI : Encodable t := t_count.toEncodable
calc
μ (f '' s) ≤ μ (⋃ x : t, f '' (s ∩ closedBall x (r x))) := by
rw [biUnion_eq_iUnion] at st
apply measure_mono
rw [← image_iUnion, ← inter_iUnion]
exact image_subset _ (subset_inter (Subset.refl _) st)
_ ≤ ∑' x : t, μ (f '' (s ∩ closedBall x (r x))) := measure_iUnion_le _
_ ≤ ∑' x : t, m * μ (closedBall x (r x)) :=
(ENNReal.tsum_le_tsum fun x => I x (r x) (ts x.2) (rpos x x.2).le)
_ ≤ m * (μ s + a) := by rw [ENNReal.tsum_mul_left]; gcongr
-- taking the limit in `a`, one obtains the conclusion
have L : Tendsto (fun a => (m : ℝ≥0∞) * (μ s + a)) (𝓝[>] 0) (𝓝 (m * (μ s + 0))) := by
apply Tendsto.mono_left _ nhdsWithin_le_nhds
apply ENNReal.Tendsto.const_mul (tendsto_const_nhds.add tendsto_id)
simp only [ENNReal.coe_ne_top, Ne, or_true_iff, not_false_iff]
rw [add_zero] at L
exact ge_of_tendsto L J
#align measure_theory.add_haar_image_le_mul_of_det_lt MeasureTheory.addHaar_image_le_mul_of_det_lt
theorem mul_le_addHaar_image_of_lt_det (A : E →L[ℝ] E) {m : ℝ≥0}
(hm : (m : ℝ≥0∞) < ENNReal.ofReal |A.det|) :
∀ᶠ δ in 𝓝[>] (0 : ℝ≥0),
∀ (s : Set E) (f : E → E), ApproximatesLinearOn f A s δ → (m : ℝ≥0∞) * μ s ≤ μ (f '' s) := by
apply nhdsWithin_le_nhds
-- The assumption `hm` implies that `A` is invertible. If `f` is close enough to `A`, it is also
-- invertible. One can then pass to the inverses, and deduce the estimate from
-- `addHaar_image_le_mul_of_det_lt` applied to `f⁻¹` and `A⁻¹`.
-- exclude first the trivial case where `m = 0`.
rcases eq_or_lt_of_le (zero_le m) with (rfl | mpos)
· filter_upwards
simp only [forall_const, zero_mul, imp_true_iff, zero_le, ENNReal.coe_zero]
have hA : A.det ≠ 0 := by
intro h; simp only [h, ENNReal.not_lt_zero, ENNReal.ofReal_zero, abs_zero] at hm
-- let `B` be the continuous linear equiv version of `A`.
let B := A.toContinuousLinearEquivOfDetNeZero hA
-- the determinant of `B.symm` is bounded by `m⁻¹`
have I : ENNReal.ofReal |(B.symm : E →L[ℝ] E).det| < (m⁻¹ : ℝ≥0) := by
simp only [ENNReal.ofReal, abs_inv, Real.toNNReal_inv, ContinuousLinearEquiv.det_coe_symm,
ContinuousLinearMap.coe_toContinuousLinearEquivOfDetNeZero, ENNReal.coe_lt_coe] at hm ⊢
exact NNReal.inv_lt_inv mpos.ne' hm
-- therefore, we may apply `addHaar_image_le_mul_of_det_lt` to `B.symm` and `m⁻¹`.
obtain ⟨δ₀, δ₀pos, hδ₀⟩ :
∃ δ : ℝ≥0,
0 < δ ∧
∀ (t : Set E) (g : E → E),
ApproximatesLinearOn g (B.symm : E →L[ℝ] E) t δ → μ (g '' t) ≤ ↑m⁻¹ * μ t := by
have :
∀ᶠ δ : ℝ≥0 in 𝓝[>] 0,
∀ (t : Set E) (g : E → E),
ApproximatesLinearOn g (B.symm : E →L[ℝ] E) t δ → μ (g '' t) ≤ ↑m⁻¹ * μ t :=
addHaar_image_le_mul_of_det_lt μ B.symm I
rcases (this.and self_mem_nhdsWithin).exists with ⟨δ₀, h, h'⟩
exact ⟨δ₀, h', h⟩
-- record smallness conditions for `δ` that will be needed to apply `hδ₀` below.
have L1 : ∀ᶠ δ in 𝓝 (0 : ℝ≥0), Subsingleton E ∨ δ < ‖(B.symm : E →L[ℝ] E)‖₊⁻¹ := by
by_cases h : Subsingleton E
· simp only [h, true_or_iff, eventually_const]
simp only [h, false_or_iff]
apply Iio_mem_nhds
simpa only [h, false_or_iff, inv_pos] using B.subsingleton_or_nnnorm_symm_pos
have L2 :
∀ᶠ δ in 𝓝 (0 : ℝ≥0), ‖(B.symm : E →L[ℝ] E)‖₊ * (‖(B.symm : E →L[ℝ] E)‖₊⁻¹ - δ)⁻¹ * δ < δ₀ := by
have :
Tendsto (fun δ => ‖(B.symm : E →L[ℝ] E)‖₊ * (‖(B.symm : E →L[ℝ] E)‖₊⁻¹ - δ)⁻¹ * δ) (𝓝 0)
(𝓝 (‖(B.symm : E →L[ℝ] E)‖₊ * (‖(B.symm : E →L[ℝ] E)‖₊⁻¹ - 0)⁻¹ * 0)) := by
rcases eq_or_ne ‖(B.symm : E →L[ℝ] E)‖₊ 0 with (H | H)
· simpa only [H, zero_mul] using tendsto_const_nhds
refine Tendsto.mul (tendsto_const_nhds.mul ?_) tendsto_id
refine (Tendsto.sub tendsto_const_nhds tendsto_id).inv₀ ?_
simpa only [tsub_zero, inv_eq_zero, Ne] using H
simp only [mul_zero] at this
exact (tendsto_order.1 this).2 δ₀ δ₀pos
-- let `δ` be small enough, and `f` approximated by `B` up to `δ`.
filter_upwards [L1, L2]
intro δ h1δ h2δ s f hf
have hf' : ApproximatesLinearOn f (B : E →L[ℝ] E) s δ := by convert hf
let F := hf'.toPartialEquiv h1δ
-- the condition to be checked can be reformulated in terms of the inverse maps
suffices H : μ (F.symm '' F.target) ≤ (m⁻¹ : ℝ≥0) * μ F.target by
change (m : ℝ≥0∞) * μ F.source ≤ μ F.target
rwa [← F.symm_image_target_eq_source, mul_comm, ← ENNReal.le_div_iff_mul_le, div_eq_mul_inv,
mul_comm, ← ENNReal.coe_inv mpos.ne']
· apply Or.inl
simpa only [ENNReal.coe_eq_zero, Ne] using mpos.ne'
· simp only [ENNReal.coe_ne_top, true_or_iff, Ne, not_false_iff]
-- as `f⁻¹` is well approximated by `B⁻¹`, the conclusion follows from `hδ₀`
-- and our choice of `δ`.
exact hδ₀ _ _ ((hf'.to_inv h1δ).mono_num h2δ.le)
#align measure_theory.mul_le_add_haar_image_of_lt_det MeasureTheory.mul_le_addHaar_image_of_lt_det
theorem _root_.ApproximatesLinearOn.norm_fderiv_sub_le {A : E →L[ℝ] E} {δ : ℝ≥0}
(hf : ApproximatesLinearOn f A s δ) (hs : MeasurableSet s) (f' : E → E →L[ℝ] E)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) : ∀ᵐ x ∂μ.restrict s, ‖f' x - A‖₊ ≤ δ := by
filter_upwards [Besicovitch.ae_tendsto_measure_inter_div μ s, ae_restrict_mem hs]
-- start from a Lebesgue density point `x`, belonging to `s`.
intro x hx xs
-- consider an arbitrary vector `z`.
apply ContinuousLinearMap.opNorm_le_bound _ δ.2 fun z => ?_
-- to show that `‖(f' x - A) z‖ ≤ δ ‖z‖`, it suffices to do it up to some error that vanishes
-- asymptotically in terms of `ε > 0`.
suffices H : ∀ ε, 0 < ε → ‖(f' x - A) z‖ ≤ (δ + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ε by
have :
Tendsto (fun ε : ℝ => ((δ : ℝ) + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ε) (𝓝[>] 0)
(𝓝 ((δ + 0) * (‖z‖ + 0) + ‖f' x - A‖ * 0)) :=
Tendsto.mono_left (Continuous.tendsto (by continuity) 0) nhdsWithin_le_nhds
simp only [add_zero, mul_zero] at this
apply le_of_tendsto_of_tendsto tendsto_const_nhds this
filter_upwards [self_mem_nhdsWithin]
exact H
-- fix a positive `ε`.
intro ε εpos
-- for small enough `r`, the rescaled ball `r • closedBall z ε` intersects `s`, as `x` is a
-- density point
have B₁ : ∀ᶠ r in 𝓝[>] (0 : ℝ), (s ∩ ({x} + r • closedBall z ε)).Nonempty :=
eventually_nonempty_inter_smul_of_density_one μ s x hx _ measurableSet_closedBall
(measure_closedBall_pos μ z εpos).ne'
obtain ⟨ρ, ρpos, hρ⟩ :
∃ ρ > 0, ball x ρ ∩ s ⊆ {y : E | ‖f y - f x - (f' x) (y - x)‖ ≤ ε * ‖y - x‖} :=
mem_nhdsWithin_iff.1 ((hf' x xs).isLittleO.def εpos)
-- for small enough `r`, the rescaled ball `r • closedBall z ε` is included in the set where
-- `f y - f x` is well approximated by `f' x (y - x)`.
have B₂ : ∀ᶠ r in 𝓝[>] (0 : ℝ), {x} + r • closedBall z ε ⊆ ball x ρ := by
apply nhdsWithin_le_nhds
exact eventually_singleton_add_smul_subset isBounded_closedBall (ball_mem_nhds x ρpos)
-- fix a small positive `r` satisfying the above properties, as well as a corresponding `y`.
obtain ⟨r, ⟨y, ⟨ys, hy⟩⟩, rρ, rpos⟩ :
∃ r : ℝ,
(s ∩ ({x} + r • closedBall z ε)).Nonempty ∧ {x} + r • closedBall z ε ⊆ ball x ρ ∧ 0 < r :=
(B₁.and (B₂.and self_mem_nhdsWithin)).exists
-- write `y = x + r a` with `a ∈ closedBall z ε`.
obtain ⟨a, az, ya⟩ : ∃ a, a ∈ closedBall z ε ∧ y = x + r • a := by
simp only [mem_smul_set, image_add_left, mem_preimage, singleton_add] at hy
rcases hy with ⟨a, az, ha⟩
exact ⟨a, az, by simp only [ha, add_neg_cancel_left]⟩
have norm_a : ‖a‖ ≤ ‖z‖ + ε :=
calc
‖a‖ = ‖z + (a - z)‖ := by simp only [add_sub_cancel]
_ ≤ ‖z‖ + ‖a - z‖ := norm_add_le _ _
_ ≤ ‖z‖ + ε := add_le_add_left (mem_closedBall_iff_norm.1 az) _
-- use the approximation properties to control `(f' x - A) a`, and then `(f' x - A) z` as `z` is
-- close to `a`.
have I : r * ‖(f' x - A) a‖ ≤ r * (δ + ε) * (‖z‖ + ε) :=
calc
r * ‖(f' x - A) a‖ = ‖(f' x - A) (r • a)‖ := by
simp only [ContinuousLinearMap.map_smul, norm_smul, Real.norm_eq_abs, abs_of_nonneg rpos.le]
_ = ‖f y - f x - A (y - x) - (f y - f x - (f' x) (y - x))‖ := by
congr 1
simp only [ya, add_sub_cancel_left, sub_sub_sub_cancel_left, ContinuousLinearMap.coe_sub',
eq_self_iff_true, sub_left_inj, Pi.sub_apply, ContinuousLinearMap.map_smul, smul_sub]
_ ≤ ‖f y - f x - A (y - x)‖ + ‖f y - f x - (f' x) (y - x)‖ := norm_sub_le _ _
_ ≤ δ * ‖y - x‖ + ε * ‖y - x‖ := (add_le_add (hf _ ys _ xs) (hρ ⟨rρ hy, ys⟩))
_ = r * (δ + ε) * ‖a‖ := by
simp only [ya, add_sub_cancel_left, norm_smul, Real.norm_eq_abs, abs_of_nonneg rpos.le]
ring
_ ≤ r * (δ + ε) * (‖z‖ + ε) := by gcongr
calc
‖(f' x - A) z‖ = ‖(f' x - A) a + (f' x - A) (z - a)‖ := by
congr 1
simp only [ContinuousLinearMap.coe_sub', map_sub, Pi.sub_apply]
abel
_ ≤ ‖(f' x - A) a‖ + ‖(f' x - A) (z - a)‖ := norm_add_le _ _
_ ≤ (δ + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ‖z - a‖ := by
apply add_le_add
· rw [mul_assoc] at I; exact (mul_le_mul_left rpos).1 I
· apply ContinuousLinearMap.le_opNorm
_ ≤ (δ + ε) * (‖z‖ + ε) + ‖f' x - A‖ * ε := by
rw [mem_closedBall_iff_norm'] at az
gcongr
#align approximates_linear_on.norm_fderiv_sub_le ApproximatesLinearOn.norm_fderiv_sub_le
theorem addHaar_image_eq_zero_of_differentiableOn_of_addHaar_eq_zero (hf : DifferentiableOn ℝ f s)
(hs : μ s = 0) : μ (f '' s) = 0 := by
refine le_antisymm ?_ (zero_le _)
have :
∀ A : E →L[ℝ] E, ∃ δ : ℝ≥0, 0 < δ ∧
∀ (t : Set E), ApproximatesLinearOn f A t δ →
μ (f '' t) ≤ (Real.toNNReal |A.det| + 1 : ℝ≥0) * μ t := by
intro A
let m : ℝ≥0 := Real.toNNReal |A.det| + 1
have I : ENNReal.ofReal |A.det| < m := by
simp only [m, ENNReal.ofReal, lt_add_iff_pos_right, zero_lt_one, ENNReal.coe_lt_coe]
rcases ((addHaar_image_le_mul_of_det_lt μ A I).and self_mem_nhdsWithin).exists with ⟨δ, h, h'⟩
exact ⟨δ, h', fun t ht => h t f ht⟩
choose δ hδ using this
obtain ⟨t, A, _, _, t_cover, ht, -⟩ :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] E),
Pairwise (Disjoint on t) ∧
(∀ n : ℕ, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n : ℕ, t n) ∧
(∀ n : ℕ, ApproximatesLinearOn f (A n) (s ∩ t n) (δ (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = fderivWithin ℝ f s y) :=
exists_partition_approximatesLinearOn_of_hasFDerivWithinAt f s (fderivWithin ℝ f s)
(fun x xs => (hf x xs).hasFDerivWithinAt) δ fun A => (hδ A).1.ne'
calc
μ (f '' s) ≤ μ (⋃ n, f '' (s ∩ t n)) := by
apply measure_mono
rw [← image_iUnion, ← inter_iUnion]
exact image_subset f (subset_inter Subset.rfl t_cover)
_ ≤ ∑' n, μ (f '' (s ∩ t n)) := measure_iUnion_le _
_ ≤ ∑' n, (Real.toNNReal |(A n).det| + 1 : ℝ≥0) * μ (s ∩ t n) := by
apply ENNReal.tsum_le_tsum fun n => ?_
apply (hδ (A n)).2
exact ht n
_ ≤ ∑' n, ((Real.toNNReal |(A n).det| + 1 : ℝ≥0) : ℝ≥0∞) * 0 := by
refine ENNReal.tsum_le_tsum fun n => mul_le_mul_left' ?_ _
exact le_trans (measure_mono inter_subset_left) (le_of_eq hs)
_ = 0 := by simp only [tsum_zero, mul_zero]
#align measure_theory.add_haar_image_eq_zero_of_differentiable_on_of_add_haar_eq_zero MeasureTheory.addHaar_image_eq_zero_of_differentiableOn_of_addHaar_eq_zero
theorem addHaar_image_eq_zero_of_det_fderivWithin_eq_zero_aux
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (R : ℝ) (hs : s ⊆ closedBall 0 R) (ε : ℝ≥0)
(εpos : 0 < ε) (h'f' : ∀ x ∈ s, (f' x).det = 0) : μ (f '' s) ≤ ε * μ (closedBall 0 R) := by
rcases eq_empty_or_nonempty s with (rfl | h's); · simp only [measure_empty, zero_le, image_empty]
have :
∀ A : E →L[ℝ] E, ∃ δ : ℝ≥0, 0 < δ ∧
∀ (t : Set E), ApproximatesLinearOn f A t δ →
μ (f '' t) ≤ (Real.toNNReal |A.det| + ε : ℝ≥0) * μ t := by
intro A
let m : ℝ≥0 := Real.toNNReal |A.det| + ε
have I : ENNReal.ofReal |A.det| < m := by
simp only [m, ENNReal.ofReal, lt_add_iff_pos_right, εpos, ENNReal.coe_lt_coe]
rcases ((addHaar_image_le_mul_of_det_lt μ A I).and self_mem_nhdsWithin).exists with ⟨δ, h, h'⟩
exact ⟨δ, h', fun t ht => h t f ht⟩
choose δ hδ using this
obtain ⟨t, A, t_disj, t_meas, t_cover, ht, Af'⟩ :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] E),
Pairwise (Disjoint on t) ∧
(∀ n : ℕ, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n : ℕ, t n) ∧
(∀ n : ℕ, ApproximatesLinearOn f (A n) (s ∩ t n) (δ (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) :=
exists_partition_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' δ fun A => (hδ A).1.ne'
calc
μ (f '' s) ≤ μ (⋃ n, f '' (s ∩ t n)) := by
rw [← image_iUnion, ← inter_iUnion]
gcongr
exact subset_inter Subset.rfl t_cover
_ ≤ ∑' n, μ (f '' (s ∩ t n)) := measure_iUnion_le _
_ ≤ ∑' n, (Real.toNNReal |(A n).det| + ε : ℝ≥0) * μ (s ∩ t n) := by
gcongr
exact (hδ (A _)).2 _ (ht _)
_ = ∑' n, ε * μ (s ∩ t n) := by
congr with n
rcases Af' h's n with ⟨y, ys, hy⟩
simp only [hy, h'f' y ys, Real.toNNReal_zero, abs_zero, zero_add]
_ ≤ ε * ∑' n, μ (closedBall 0 R ∩ t n) := by
rw [ENNReal.tsum_mul_left]
gcongr
_ = ε * μ (⋃ n, closedBall 0 R ∩ t n) := by
rw [measure_iUnion]
· exact pairwise_disjoint_mono t_disj fun n => inter_subset_right
· intro n
exact measurableSet_closedBall.inter (t_meas n)
_ ≤ ε * μ (closedBall 0 R) := by
rw [← inter_iUnion]
exact mul_le_mul_left' (measure_mono inter_subset_left) _
#align measure_theory.add_haar_image_eq_zero_of_det_fderiv_within_eq_zero_aux MeasureTheory.addHaar_image_eq_zero_of_det_fderivWithin_eq_zero_aux
theorem addHaar_image_eq_zero_of_det_fderivWithin_eq_zero
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (h'f' : ∀ x ∈ s, (f' x).det = 0) :
μ (f '' s) = 0 := by
suffices H : ∀ R, μ (f '' (s ∩ closedBall 0 R)) = 0 by
apply le_antisymm _ (zero_le _)
rw [← iUnion_inter_closedBall_nat s 0]
calc
μ (f '' ⋃ n : ℕ, s ∩ closedBall 0 n) ≤ ∑' n : ℕ, μ (f '' (s ∩ closedBall 0 n)) := by
rw [image_iUnion]; exact measure_iUnion_le _
_ ≤ 0 := by simp only [H, tsum_zero, nonpos_iff_eq_zero]
intro R
have A : ∀ (ε : ℝ≥0), 0 < ε → μ (f '' (s ∩ closedBall 0 R)) ≤ ε * μ (closedBall 0 R) :=
fun ε εpos =>
addHaar_image_eq_zero_of_det_fderivWithin_eq_zero_aux μ
(fun x hx => (hf' x hx.1).mono inter_subset_left) R inter_subset_right ε εpos
fun x hx => h'f' x hx.1
have B : Tendsto (fun ε : ℝ≥0 => (ε : ℝ≥0∞) * μ (closedBall 0 R)) (𝓝[>] 0) (𝓝 0) := by
have :
Tendsto (fun ε : ℝ≥0 => (ε : ℝ≥0∞) * μ (closedBall 0 R)) (𝓝 0)
(𝓝 (((0 : ℝ≥0) : ℝ≥0∞) * μ (closedBall 0 R))) :=
ENNReal.Tendsto.mul_const (ENNReal.tendsto_coe.2 tendsto_id)
(Or.inr measure_closedBall_lt_top.ne)
simp only [zero_mul, ENNReal.coe_zero] at this
exact Tendsto.mono_left this nhdsWithin_le_nhds
apply le_antisymm _ (zero_le _)
apply ge_of_tendsto B
filter_upwards [self_mem_nhdsWithin]
exact A
#align measure_theory.add_haar_image_eq_zero_of_det_fderiv_within_eq_zero MeasureTheory.addHaar_image_eq_zero_of_det_fderivWithin_eq_zero
theorem aemeasurable_fderivWithin (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) : AEMeasurable f' (μ.restrict s) := by
-- fix a precision `ε`
refine aemeasurable_of_unif_approx fun ε εpos => ?_
let δ : ℝ≥0 := ⟨ε, le_of_lt εpos⟩
have δpos : 0 < δ := εpos
-- partition `s` into sets `s ∩ t n` on which `f` is approximated by linear maps `A n`.
obtain ⟨t, A, t_disj, t_meas, t_cover, ht, _⟩ :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] E),
Pairwise (Disjoint on t) ∧
(∀ n : ℕ, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n : ℕ, t n) ∧
(∀ n : ℕ, ApproximatesLinearOn f (A n) (s ∩ t n) δ) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) :=
exists_partition_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' (fun _ => δ) fun _ =>
δpos.ne'
-- define a measurable function `g` which coincides with `A n` on `t n`.
obtain ⟨g, g_meas, hg⟩ :
∃ g : E → E →L[ℝ] E, Measurable g ∧ ∀ (n : ℕ) (x : E), x ∈ t n → g x = A n :=
exists_measurable_piecewise t t_meas (fun n _ => A n) (fun n => measurable_const) <|
t_disj.mono fun i j h => by simp only [h.inter_eq, eqOn_empty]
refine ⟨g, g_meas.aemeasurable, ?_⟩
-- reduce to checking that `f'` and `g` are close on almost all of `s ∩ t n`, for all `n`.
suffices H : ∀ᵐ x : E ∂sum fun n ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε by
have : μ.restrict s ≤ sum fun n => μ.restrict (s ∩ t n) := by
have : s = ⋃ n, s ∩ t n := by
rw [← inter_iUnion]
exact Subset.antisymm (subset_inter Subset.rfl t_cover) inter_subset_left
conv_lhs => rw [this]
exact restrict_iUnion_le
exact ae_mono this H
-- fix such an `n`.
refine ae_sum_iff.2 fun n => ?_
-- on almost all `s ∩ t n`, `f' x` is close to `A n` thanks to
-- `ApproximatesLinearOn.norm_fderiv_sub_le`.
have E₁ : ∀ᵐ x : E ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ :=
(ht n).norm_fderiv_sub_le μ (hs.inter (t_meas n)) f' fun x hx =>
(hf' x hx.1).mono inter_subset_left
-- moreover, `g x` is equal to `A n` there.
have E₂ : ∀ᵐ x : E ∂μ.restrict (s ∩ t n), g x = A n := by
suffices H : ∀ᵐ x : E ∂μ.restrict (t n), g x = A n from
ae_mono (restrict_mono inter_subset_right le_rfl) H
filter_upwards [ae_restrict_mem (t_meas n)]
exact hg n
-- putting these two properties together gives the conclusion.
filter_upwards [E₁, E₂] with x hx1 hx2
rw [← nndist_eq_nnnorm] at hx1
rw [hx2, dist_comm]
exact hx1
#align measure_theory.ae_measurable_fderiv_within MeasureTheory.aemeasurable_fderivWithin
theorem aemeasurable_ofReal_abs_det_fderivWithin (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) :
AEMeasurable (fun x => ENNReal.ofReal |(f' x).det|) (μ.restrict s) := by
apply ENNReal.measurable_ofReal.comp_aemeasurable
refine continuous_abs.measurable.comp_aemeasurable ?_
refine ContinuousLinearMap.continuous_det.measurable.comp_aemeasurable ?_
exact aemeasurable_fderivWithin μ hs hf'
#align measure_theory.ae_measurable_of_real_abs_det_fderiv_within MeasureTheory.aemeasurable_ofReal_abs_det_fderivWithin
theorem aemeasurable_toNNReal_abs_det_fderivWithin (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) :
AEMeasurable (fun x => |(f' x).det|.toNNReal) (μ.restrict s) := by
apply measurable_real_toNNReal.comp_aemeasurable
refine continuous_abs.measurable.comp_aemeasurable ?_
refine ContinuousLinearMap.continuous_det.measurable.comp_aemeasurable ?_
exact aemeasurable_fderivWithin μ hs hf'
#align measure_theory.ae_measurable_to_nnreal_abs_det_fderiv_within MeasureTheory.aemeasurable_toNNReal_abs_det_fderivWithin
theorem measurable_image_of_fderivWithin (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) : MeasurableSet (f '' s) :=
haveI : DifferentiableOn ℝ f s := fun x hx => (hf' x hx).differentiableWithinAt
hs.image_of_continuousOn_injOn (DifferentiableOn.continuousOn this) hf
#align measure_theory.measurable_image_of_fderiv_within MeasureTheory.measurable_image_of_fderivWithin
theorem measurableEmbedding_of_fderivWithin (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (hf : InjOn f s) :
MeasurableEmbedding (s.restrict f) :=
haveI : DifferentiableOn ℝ f s := fun x hx => (hf' x hx).differentiableWithinAt
this.continuousOn.measurableEmbedding hs hf
#align measure_theory.measurable_embedding_of_fderiv_within MeasureTheory.measurableEmbedding_of_fderivWithin
theorem addHaar_image_le_lintegral_abs_det_fderiv_aux1 (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) {ε : ℝ≥0} (εpos : 0 < ε) :
μ (f '' s) ≤ (∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) + 2 * ε * μ s := by
have :
∀ A : E →L[ℝ] E,
∃ δ : ℝ≥0,
0 < δ ∧
(∀ B : E →L[ℝ] E, ‖B - A‖ ≤ δ → |B.det - A.det| ≤ ε) ∧
∀ (t : Set E) (g : E → E), ApproximatesLinearOn g A t δ →
μ (g '' t) ≤ (ENNReal.ofReal |A.det| + ε) * μ t := by
intro A
let m : ℝ≥0 := Real.toNNReal |A.det| + ε
have I : ENNReal.ofReal |A.det| < m := by
simp only [m, ENNReal.ofReal, lt_add_iff_pos_right, εpos, ENNReal.coe_lt_coe]
rcases ((addHaar_image_le_mul_of_det_lt μ A I).and self_mem_nhdsWithin).exists with ⟨δ, h, δpos⟩
obtain ⟨δ', δ'pos, hδ'⟩ : ∃ (δ' : ℝ), 0 < δ' ∧ ∀ B, dist B A < δ' → dist B.det A.det < ↑ε :=
continuousAt_iff.1 ContinuousLinearMap.continuous_det.continuousAt ε εpos
let δ'' : ℝ≥0 := ⟨δ' / 2, (half_pos δ'pos).le⟩
refine ⟨min δ δ'', lt_min δpos (half_pos δ'pos), ?_, ?_⟩
· intro B hB
rw [← Real.dist_eq]
apply (hδ' B _).le
rw [dist_eq_norm]
calc
‖B - A‖ ≤ (min δ δ'' : ℝ≥0) := hB
_ ≤ δ'' := by simp only [le_refl, NNReal.coe_min, min_le_iff, or_true_iff]
_ < δ' := half_lt_self δ'pos
· intro t g htg
exact h t g (htg.mono_num (min_le_left _ _))
choose δ hδ using this
obtain ⟨t, A, t_disj, t_meas, t_cover, ht, -⟩ :
∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] E),
Pairwise (Disjoint on t) ∧
(∀ n : ℕ, MeasurableSet (t n)) ∧
(s ⊆ ⋃ n : ℕ, t n) ∧
(∀ n : ℕ, ApproximatesLinearOn f (A n) (s ∩ t n) (δ (A n))) ∧
(s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) :=
exists_partition_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' δ fun A => (hδ A).1.ne'
calc
μ (f '' s) ≤ μ (⋃ n, f '' (s ∩ t n)) := by
apply measure_mono
rw [← image_iUnion, ← inter_iUnion]
exact image_subset f (subset_inter Subset.rfl t_cover)
_ ≤ ∑' n, μ (f '' (s ∩ t n)) := measure_iUnion_le _
_ ≤ ∑' n, (ENNReal.ofReal |(A n).det| + ε) * μ (s ∩ t n) := by
apply ENNReal.tsum_le_tsum fun n => ?_
apply (hδ (A n)).2.2
exact ht n
_ = ∑' n, ∫⁻ _ in s ∩ t n, ENNReal.ofReal |(A n).det| + ε ∂μ := by
simp only [lintegral_const, MeasurableSet.univ, Measure.restrict_apply, univ_inter]
_ ≤ ∑' n, ∫⁻ x in s ∩ t n, ENNReal.ofReal |(f' x).det| + 2 * ε ∂μ := by
apply ENNReal.tsum_le_tsum fun n => ?_
apply lintegral_mono_ae
filter_upwards [(ht n).norm_fderiv_sub_le μ (hs.inter (t_meas n)) f' fun x hx =>
(hf' x hx.1).mono inter_subset_left]
intro x hx
have I : |(A n).det| ≤ |(f' x).det| + ε :=
calc
|(A n).det| = |(f' x).det - ((f' x).det - (A n).det)| := by congr 1; abel
_ ≤ |(f' x).det| + |(f' x).det - (A n).det| := abs_sub _ _
_ ≤ |(f' x).det| + ε := add_le_add le_rfl ((hδ (A n)).2.1 _ hx)
calc
ENNReal.ofReal |(A n).det| + ε ≤ ENNReal.ofReal (|(f' x).det| + ε) + ε := by gcongr
_ = ENNReal.ofReal |(f' x).det| + 2 * ε := by
simp only [ENNReal.ofReal_add, abs_nonneg, two_mul, add_assoc, NNReal.zero_le_coe,
ENNReal.ofReal_coe_nnreal]
_ = ∫⁻ x in ⋃ n, s ∩ t n, ENNReal.ofReal |(f' x).det| + 2 * ε ∂μ := by
have M : ∀ n : ℕ, MeasurableSet (s ∩ t n) := fun n => hs.inter (t_meas n)
rw [lintegral_iUnion M]
exact pairwise_disjoint_mono t_disj fun n => inter_subset_right
_ = ∫⁻ x in s, ENNReal.ofReal |(f' x).det| + 2 * ε ∂μ := by
rw [← inter_iUnion, inter_eq_self_of_subset_left t_cover]
_ = (∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) + 2 * ε * μ s := by
simp only [lintegral_add_right' _ aemeasurable_const, set_lintegral_const]
#align measure_theory.add_haar_image_le_lintegral_abs_det_fderiv_aux1 MeasureTheory.addHaar_image_le_lintegral_abs_det_fderiv_aux1
theorem addHaar_image_le_lintegral_abs_det_fderiv_aux2 (hs : MeasurableSet s) (h's : μ s ≠ ∞)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) :
μ (f '' s) ≤ ∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ := by
-- We just need to let the error tend to `0` in the previous lemma.
have :
Tendsto (fun ε : ℝ≥0 => (∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) + 2 * ε * μ s) (𝓝[>] 0)
(𝓝 ((∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ) + 2 * (0 : ℝ≥0) * μ s)) := by
apply Tendsto.mono_left _ nhdsWithin_le_nhds
refine tendsto_const_nhds.add ?_
refine ENNReal.Tendsto.mul_const ?_ (Or.inr h's)
exact ENNReal.Tendsto.const_mul (ENNReal.tendsto_coe.2 tendsto_id) (Or.inr ENNReal.coe_ne_top)
simp only [add_zero, zero_mul, mul_zero, ENNReal.coe_zero] at this
apply ge_of_tendsto this
filter_upwards [self_mem_nhdsWithin]
intro ε εpos
rw [mem_Ioi] at εpos
exact addHaar_image_le_lintegral_abs_det_fderiv_aux1 μ hs hf' εpos
#align measure_theory.add_haar_image_le_lintegral_abs_det_fderiv_aux2 MeasureTheory.addHaar_image_le_lintegral_abs_det_fderiv_aux2
| Mathlib/MeasureTheory/Function/Jacobian.lean | 893 | 921 | theorem addHaar_image_le_lintegral_abs_det_fderiv (hs : MeasurableSet s)
(hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) :
μ (f '' s) ≤ ∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ := by |
/- We already know the result for finite-measure sets. We cover `s` by finite-measure sets using
`spanningSets μ`, and apply the previous result to each of these parts. -/
let u n := disjointed (spanningSets μ) n
have u_meas : ∀ n, MeasurableSet (u n) := by
intro n
apply MeasurableSet.disjointed fun i => ?_
exact measurable_spanningSets μ i
have A : s = ⋃ n, s ∩ u n := by
rw [← inter_iUnion, iUnion_disjointed, iUnion_spanningSets, inter_univ]
calc
μ (f '' s) ≤ ∑' n, μ (f '' (s ∩ u n)) := by
conv_lhs => rw [A, image_iUnion]
exact measure_iUnion_le _
_ ≤ ∑' n, ∫⁻ x in s ∩ u n, ENNReal.ofReal |(f' x).det| ∂μ := by
apply ENNReal.tsum_le_tsum fun n => ?_
apply
addHaar_image_le_lintegral_abs_det_fderiv_aux2 μ (hs.inter (u_meas n)) _ fun x hx =>
(hf' x hx.1).mono inter_subset_left
have : μ (u n) < ∞ :=
lt_of_le_of_lt (measure_mono (disjointed_subset _ _)) (measure_spanningSets_lt_top μ n)
exact ne_of_lt (lt_of_le_of_lt (measure_mono inter_subset_right) this)
_ = ∫⁻ x in s, ENNReal.ofReal |(f' x).det| ∂μ := by
conv_rhs => rw [A]
rw [lintegral_iUnion]
· intro n; exact hs.inter (u_meas n)
· exact pairwise_disjoint_mono (disjoint_disjointed _) fun n => inter_subset_right
|
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine
import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle
#align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open scoped EuclideanGeometry
open scoped Real
open scoped RealInnerProductSpace
namespace Orientation
open FiniteDimensional
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
variable [hd2 : Fact (finrank ℝ V = 2)] (o : Orientation ℝ V (Fin 2))
theorem oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two
theorem oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x + y) y = Real.arccos (‖y‖ / ‖x + y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two h
#align orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two
theorem oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle x (x + y) = Real.arcsin (‖y‖ / ‖x + y‖) := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_add_eq_arcsin_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two
theorem oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x + y) y = Real.arcsin (‖x‖ / ‖x + y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two h
#align orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two
theorem oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle x (x + y) = Real.arctan (‖y‖ / ‖x‖) := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_add_eq_arctan_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h) (o.left_ne_zero_of_oangle_eq_pi_div_two h)]
#align orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two
theorem oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x + y) y = Real.arctan (‖x‖ / ‖y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two h
#align orientation.oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two
theorem cos_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.cos (o.oangle x (x + y)) = ‖x‖ / ‖x + y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
InnerProductGeometry.cos_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.cos_oangle_add_right_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_right_of_oangle_eq_pi_div_two
theorem cos_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.cos (o.oangle (x + y) y) = ‖y‖ / ‖x + y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).cos_oangle_add_right_of_oangle_eq_pi_div_two h
#align orientation.cos_oangle_add_left_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_left_of_oangle_eq_pi_div_two
theorem sin_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.sin (o.oangle x (x + y)) = ‖y‖ / ‖x + y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe,
InnerProductGeometry.sin_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.sin_oangle_add_right_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_right_of_oangle_eq_pi_div_two
theorem sin_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.sin (o.oangle (x + y) y) = ‖x‖ / ‖x + y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).sin_oangle_add_right_of_oangle_eq_pi_div_two h
#align orientation.sin_oangle_add_left_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_left_of_oangle_eq_pi_div_two
theorem tan_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.tan (o.oangle x (x + y)) = ‖y‖ / ‖x‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe,
InnerProductGeometry.tan_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.tan_oangle_add_right_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_right_of_oangle_eq_pi_div_two
theorem tan_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.tan (o.oangle (x + y) y) = ‖x‖ / ‖y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).tan_oangle_add_right_of_oangle_eq_pi_div_two h
#align orientation.tan_oangle_add_left_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_left_of_oangle_eq_pi_div_two
theorem cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle x (x + y)) * ‖x + y‖ = ‖x‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
InnerProductGeometry.cos_angle_add_mul_norm_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two
theorem cos_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle (x + y) y) * ‖x + y‖ = ‖y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two h
#align orientation.cos_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two
theorem sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle x (x + y)) * ‖x + y‖ = ‖y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe,
InnerProductGeometry.sin_angle_add_mul_norm_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two
theorem sin_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle (x + y) y) * ‖x + y‖ = ‖x‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two h
#align orientation.sin_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two
theorem tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle x (x + y)) * ‖x‖ = ‖y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe,
InnerProductGeometry.tan_angle_add_mul_norm_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two
theorem tan_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle (x + y) y) * ‖y‖ = ‖x‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two h
#align orientation.tan_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two
theorem norm_div_cos_oangle_add_right_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.cos (o.oangle x (x + y)) = ‖x + y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
InnerProductGeometry.norm_div_cos_angle_add_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.norm_div_cos_oangle_add_right_of_oangle_eq_pi_div_two Orientation.norm_div_cos_oangle_add_right_of_oangle_eq_pi_div_two
theorem norm_div_cos_oangle_add_left_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.cos (o.oangle (x + y) y) = ‖x + y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).norm_div_cos_oangle_add_right_of_oangle_eq_pi_div_two h
#align orientation.norm_div_cos_oangle_add_left_of_oangle_eq_pi_div_two Orientation.norm_div_cos_oangle_add_left_of_oangle_eq_pi_div_two
theorem norm_div_sin_oangle_add_right_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.sin (o.oangle x (x + y)) = ‖x + y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe,
InnerProductGeometry.norm_div_sin_angle_add_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inr (o.right_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.norm_div_sin_oangle_add_right_of_oangle_eq_pi_div_two Orientation.norm_div_sin_oangle_add_right_of_oangle_eq_pi_div_two
theorem norm_div_sin_oangle_add_left_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.sin (o.oangle (x + y) y) = ‖x + y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).norm_div_sin_oangle_add_right_of_oangle_eq_pi_div_two h
#align orientation.norm_div_sin_oangle_add_left_of_oangle_eq_pi_div_two Orientation.norm_div_sin_oangle_add_left_of_oangle_eq_pi_div_two
theorem norm_div_tan_oangle_add_right_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.tan (o.oangle x (x + y)) = ‖x‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe,
InnerProductGeometry.norm_div_tan_angle_add_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inr (o.right_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.norm_div_tan_oangle_add_right_of_oangle_eq_pi_div_two Orientation.norm_div_tan_oangle_add_right_of_oangle_eq_pi_div_two
theorem norm_div_tan_oangle_add_left_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.tan (o.oangle (x + y) y) = ‖y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).norm_div_tan_oangle_add_right_of_oangle_eq_pi_div_two h
#align orientation.norm_div_tan_oangle_add_left_of_oangle_eq_pi_div_two Orientation.norm_div_tan_oangle_add_left_of_oangle_eq_pi_div_two
theorem oangle_sub_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle y (y - x) = Real.arccos (‖y‖ / ‖y - x‖) := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_sub_eq_arccos_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.oangle_sub_right_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_sub_right_eq_arccos_of_oangle_eq_pi_div_two
theorem oangle_sub_left_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x - y) x = Real.arccos (‖x‖ / ‖x - y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).oangle_sub_right_eq_arccos_of_oangle_eq_pi_div_two h
#align orientation.oangle_sub_left_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_sub_left_eq_arccos_of_oangle_eq_pi_div_two
theorem oangle_sub_right_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle y (y - x) = Real.arcsin (‖x‖ / ‖y - x‖) := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_sub_eq_arcsin_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.right_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.oangle_sub_right_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_sub_right_eq_arcsin_of_oangle_eq_pi_div_two
theorem oangle_sub_left_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x - y) x = Real.arcsin (‖y‖ / ‖x - y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).oangle_sub_right_eq_arcsin_of_oangle_eq_pi_div_two h
#align orientation.oangle_sub_left_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_sub_left_eq_arcsin_of_oangle_eq_pi_div_two
theorem oangle_sub_right_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle y (y - x) = Real.arctan (‖x‖ / ‖y‖) := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_sub_eq_arctan_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h) (o.right_ne_zero_of_oangle_eq_pi_div_two h)]
#align orientation.oangle_sub_right_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_sub_right_eq_arctan_of_oangle_eq_pi_div_two
theorem oangle_sub_left_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x - y) x = Real.arctan (‖y‖ / ‖x‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).oangle_sub_right_eq_arctan_of_oangle_eq_pi_div_two h
#align orientation.oangle_sub_left_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_sub_left_eq_arctan_of_oangle_eq_pi_div_two
theorem cos_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.cos (o.oangle y (y - x)) = ‖y‖ / ‖y - x‖ := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
InnerProductGeometry.cos_angle_sub_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.cos_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.cos_oangle_sub_right_of_oangle_eq_pi_div_two
theorem cos_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.cos (o.oangle (x - y) x) = ‖x‖ / ‖x - y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).cos_oangle_sub_right_of_oangle_eq_pi_div_two h
#align orientation.cos_oangle_sub_left_of_oangle_eq_pi_div_two Orientation.cos_oangle_sub_left_of_oangle_eq_pi_div_two
theorem sin_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.sin (o.oangle y (y - x)) = ‖x‖ / ‖y - x‖ := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe,
InnerProductGeometry.sin_angle_sub_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.right_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.sin_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.sin_oangle_sub_right_of_oangle_eq_pi_div_two
theorem sin_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.sin (o.oangle (x - y) x) = ‖y‖ / ‖x - y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).sin_oangle_sub_right_of_oangle_eq_pi_div_two h
#align orientation.sin_oangle_sub_left_of_oangle_eq_pi_div_two Orientation.sin_oangle_sub_left_of_oangle_eq_pi_div_two
| Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean | 359 | 365 | theorem tan_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.tan (o.oangle y (y - x)) = ‖x‖ / ‖y‖ := by |
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe,
InnerProductGeometry.tan_angle_sub_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)]
|
import Aesop
import Mathlib.Algebra.Group.Defs
import Mathlib.Data.Nat.Defs
import Mathlib.Data.Int.Defs
import Mathlib.Logic.Function.Basic
import Mathlib.Tactic.Cases
import Mathlib.Tactic.SimpRw
import Mathlib.Tactic.SplitIfs
#align_import algebra.group.basic from "leanprover-community/mathlib"@"a07d750983b94c530ab69a726862c2ab6802b38c"
assert_not_exists MonoidWithZero
assert_not_exists DenselyOrdered
open Function
universe u
variable {α β G M : Type*}
@[to_additive]
instance CommMagma.to_isCommutative [CommMagma G] : Std.Commutative (α := G) (· * ·) := ⟨mul_comm⟩
#align comm_semigroup.to_is_commutative CommMagma.to_isCommutative
#align add_comm_semigroup.to_is_commutative AddCommMagma.to_isCommutative
section CommSemigroup
variable [CommSemigroup G]
@[to_additive]
theorem mul_left_comm : ∀ a b c : G, a * (b * c) = b * (a * c) :=
left_comm Mul.mul mul_comm mul_assoc
#align mul_left_comm mul_left_comm
#align add_left_comm add_left_comm
@[to_additive]
theorem mul_right_comm : ∀ a b c : G, a * b * c = a * c * b :=
right_comm Mul.mul mul_comm mul_assoc
#align mul_right_comm mul_right_comm
#align add_right_comm add_right_comm
@[to_additive]
theorem mul_mul_mul_comm (a b c d : G) : a * b * (c * d) = a * c * (b * d) := by
simp only [mul_left_comm, mul_assoc]
#align mul_mul_mul_comm mul_mul_mul_comm
#align add_add_add_comm add_add_add_comm
@[to_additive]
| Mathlib/Algebra/Group/Basic.lean | 202 | 203 | theorem mul_rotate (a b c : G) : a * b * c = b * c * a := by |
simp only [mul_left_comm, mul_comm]
|
import Mathlib.Algebra.Group.Subgroup.Basic
import Mathlib.Algebra.Order.Archimedean
import Mathlib.Data.Set.Lattice
#align_import group_theory.archimedean from "leanprover-community/mathlib"@"f93c11933efbc3c2f0299e47b8ff83e9b539cbf6"
open Set
variable {G : Type*} [LinearOrderedAddCommGroup G] [Archimedean G]
theorem AddSubgroup.cyclic_of_min {H : AddSubgroup G} {a : G}
(ha : IsLeast { g : G | g ∈ H ∧ 0 < g } a) : H = AddSubgroup.closure {a} := by
obtain ⟨⟨a_in, a_pos⟩, a_min⟩ := ha
refine le_antisymm ?_ (H.closure_le.mpr <| by simp [a_in])
intro g g_in
obtain ⟨k, ⟨nonneg, lt⟩, _⟩ := existsUnique_zsmul_near_of_pos' a_pos g
have h_zero : g - k • a = 0 := by
by_contra h
have h : a ≤ g - k • a := by
refine a_min ⟨?_, ?_⟩
· exact AddSubgroup.sub_mem H g_in (AddSubgroup.zsmul_mem H a_in k)
· exact lt_of_le_of_ne nonneg (Ne.symm h)
have h' : ¬a ≤ g - k • a := not_le.mpr lt
contradiction
simp [sub_eq_zero.mp h_zero, AddSubgroup.mem_closure_singleton]
#align add_subgroup.cyclic_of_min AddSubgroup.cyclic_of_min
| Mathlib/GroupTheory/Archimedean.lean | 60 | 87 | theorem AddSubgroup.exists_isLeast_pos {H : AddSubgroup G} (hbot : H ≠ ⊥) {a : G} (h₀ : 0 < a)
(hd : Disjoint (H : Set G) (Ioo 0 a)) : ∃ b, IsLeast { g : G | g ∈ H ∧ 0 < g } b := by |
-- todo: move to a lemma?
have hex : ∀ g > 0, ∃ n : ℕ, g ∈ Ioc (n • a) ((n + 1) • a) := fun g hg => by
rcases existsUnique_add_zsmul_mem_Ico h₀ 0 (g - a) with ⟨m, ⟨hm, hm'⟩, -⟩
simp only [zero_add, sub_le_iff_le_add, sub_add_cancel, ← add_one_zsmul] at hm hm'
lift m to ℕ
· rw [← Int.lt_add_one_iff, ← zsmul_lt_zsmul_iff h₀, zero_zsmul]
exact hg.trans_le hm
· simp only [← Nat.cast_succ, natCast_zsmul] at hm hm'
exact ⟨m, hm', hm⟩
have : ∃ n : ℕ, Set.Nonempty (H ∩ Ioc (n • a) ((n + 1) • a)) := by
rcases (bot_or_exists_ne_zero H).resolve_left hbot with ⟨g, hgH, hg₀⟩
rcases hex |g| (abs_pos.2 hg₀) with ⟨n, hn⟩
exact ⟨n, _, (@abs_mem_iff (AddSubgroup G) G _ _).2 hgH, hn⟩
classical rcases Nat.findX this with ⟨n, ⟨x, hxH, hnx, hxn⟩, hmin⟩
by_contra hxmin
simp only [IsLeast, not_and, mem_setOf_eq, mem_lowerBounds, not_exists, not_forall,
not_le] at hxmin
rcases hxmin x ⟨hxH, (nsmul_nonneg h₀.le _).trans_lt hnx⟩ with ⟨y, ⟨hyH, hy₀⟩, hxy⟩
rcases hex y hy₀ with ⟨m, hm⟩
cases' lt_or_le m n with hmn hnm
· exact hmin m hmn ⟨y, hyH, hm⟩
· refine disjoint_left.1 hd (sub_mem hxH hyH) ⟨sub_pos.2 hxy, sub_lt_iff_lt_add'.2 ?_⟩
calc x ≤ (n + 1) • a := hxn
_ ≤ (m + 1) • a := nsmul_le_nsmul_left h₀.le (add_le_add_right hnm _)
_ = m • a + a := succ_nsmul _ _
_ < y + a := add_lt_add_right hm.1 _
|
import Mathlib.Init.Data.Nat.Notation
import Mathlib.Init.Order.Defs
set_option autoImplicit true
structure UFModel (n) where
parent : Fin n → Fin n
rank : Nat → Nat
rank_lt : ∀ i, (parent i).1 ≠ i → rank i < rank (parent i)
structure UFNode (α : Type*) where
parent : Nat
value : α
rank : Nat
inductive UFModel.Agrees (arr : Array α) (f : α → β) : ∀ {n}, (Fin n → β) → Prop
| mk : Agrees arr f fun i ↦ f (arr.get i)
namespace UFModel.Agrees
theorem mk' {arr : Array α} {f : α → β} {n} {g : Fin n → β} (e : n = arr.size)
(H : ∀ i h₁ h₂, f (arr.get ⟨i, h₁⟩) = g ⟨i, h₂⟩) : Agrees arr f g := by
cases e
have : (fun i ↦ f (arr.get i)) = g := by funext ⟨i, h⟩; apply H
cases this; constructor
theorem size_eq {arr : Array α} {m : Fin n → β} (H : Agrees arr f m) : n = arr.size := by
cases H; rfl
theorem get_eq {arr : Array α} {n} {m : Fin n → β} (H : Agrees arr f m) :
∀ i h₁ h₂, f (arr.get ⟨i, h₁⟩) = m ⟨i, h₂⟩ := by
cases H; exact fun i h _ ↦ rfl
theorem get_eq' {arr : Array α} {m : Fin arr.size → β} (H : Agrees arr f m)
(i) : f (arr.get i) = m i := H.get_eq ..
theorem empty {f : α → β} {g : Fin 0 → β} : Agrees #[] f g := mk' rfl nofun
theorem push {arr : Array α} {n} {m : Fin n → β} (H : Agrees arr f m)
(k) (hk : k = n + 1) (x) (m' : Fin k → β)
(hm₁ : ∀ (i : Fin k) (h : i < n), m' i = m ⟨i, h⟩)
(hm₂ : ∀ (h : n < k), f x = m' ⟨n, h⟩) : Agrees (arr.push x) f m' := by
cases H
have : k = (arr.push x).size := by simp [hk]
refine mk' this fun i h₁ h₂ ↦ ?_
simp [Array.get_push]; split <;> (rename_i h; simp at hm₁ ⊢)
· rw [← hm₁ ⟨i, h₂⟩]; assumption
· cases show i = arr.size by apply Nat.le_antisymm <;> simp_all [Nat.lt_succ]
rw [hm₂]
| Mathlib/Data/UnionFind.lean | 103 | 112 | theorem set {arr : Array α} {n} {m : Fin n → β} (H : Agrees arr f m)
{i : Fin arr.size} {x} {m' : Fin n → β}
(hm₁ : ∀ (j : Fin n), j.1 ≠ i → m' j = m j)
(hm₂ : ∀ (h : i < n), f x = m' ⟨i, h⟩) : Agrees (arr.set i x) f m' := by |
cases H
refine mk' (by simp) fun j hj₁ hj₂ ↦ ?_
suffices f (Array.set arr i x)[j] = m' ⟨j, hj₂⟩ by simp_all [Array.get_set]
by_cases h : i = j
· subst h; rw [Array.get_set_eq, ← hm₂]
· rw [arr.get_set_ne _ _ _ h, hm₁ ⟨j, _⟩ (Ne.symm h)]; rfl
|
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.Algebra.Polynomial.RingDivision
#align_import field_theory.ratfunc from "leanprover-community/mathlib"@"bf9bbbcf0c1c1ead18280b0d010e417b10abb1b6"
noncomputable section
open scoped Classical
open scoped nonZeroDivisors Polynomial
universe u v
variable (K : Type u)
structure RatFunc [CommRing K] : Type u where ofFractionRing ::
toFractionRing : FractionRing K[X]
#align ratfunc RatFunc
#align ratfunc.of_fraction_ring RatFunc.ofFractionRing
#align ratfunc.to_fraction_ring RatFunc.toFractionRing
namespace RatFunc
section CommRing
variable {K}
variable [CommRing K]
section Rec
theorem ofFractionRing_injective : Function.Injective (ofFractionRing : _ → RatFunc K) :=
fun _ _ => ofFractionRing.inj
#align ratfunc.of_fraction_ring_injective RatFunc.ofFractionRing_injective
theorem toFractionRing_injective : Function.Injective (toFractionRing : _ → FractionRing K[X])
-- Porting note: the `xy` input was `rfl` and then there was no need for the `subst`
| ⟨x⟩, ⟨y⟩, xy => by subst xy; rfl
#align ratfunc.to_fraction_ring_injective RatFunc.toFractionRing_injective
protected irreducible_def liftOn {P : Sort v} (x : RatFunc K) (f : K[X] → K[X] → P)
(H : ∀ {p q p' q'} (_hq : q ∈ K[X]⁰) (_hq' : q' ∈ K[X]⁰), q' * p = q * p' → f p q = f p' q') :
P := by
refine Localization.liftOn (toFractionRing x) (fun p q => f p q) ?_
intros p p' q q' h
exact H q.2 q'.2 (let ⟨⟨c, hc⟩, mul_eq⟩ := Localization.r_iff_exists.mp h
mul_cancel_left_coe_nonZeroDivisors.mp mul_eq)
-- Porting note: the definition above was as follows
-- (-- Fix timeout by manipulating elaboration order
-- fun p q => f p q)
-- fun p p' q q' h => by
-- exact H q.2 q'.2
-- (let ⟨⟨c, hc⟩, mul_eq⟩ := Localization.r_iff_exists.mp h
-- mul_cancel_left_coe_nonZeroDivisors.mp mul_eq)
#align ratfunc.lift_on RatFunc.liftOn
theorem liftOn_ofFractionRing_mk {P : Sort v} (n : K[X]) (d : K[X]⁰) (f : K[X] → K[X] → P)
(H : ∀ {p q p' q'} (_hq : q ∈ K[X]⁰) (_hq' : q' ∈ K[X]⁰), q' * p = q * p' → f p q = f p' q') :
RatFunc.liftOn (ofFractionRing (Localization.mk n d)) f @H = f n d := by
rw [RatFunc.liftOn]
exact Localization.liftOn_mk _ _ _ _
#align ratfunc.lift_on_of_fraction_ring_mk RatFunc.liftOn_ofFractionRing_mk
theorem liftOn_condition_of_liftOn'_condition {P : Sort v} {f : K[X] → K[X] → P}
(H : ∀ {p q a} (hq : q ≠ 0) (_ha : a ≠ 0), f (a * p) (a * q) = f p q) ⦃p q p' q' : K[X]⦄
(hq : q ≠ 0) (hq' : q' ≠ 0) (h : q' * p = q * p') : f p q = f p' q' :=
calc
f p q = f (q' * p) (q' * q) := (H hq hq').symm
_ = f (q * p') (q * q') := by rw [h, mul_comm q']
_ = f p' q' := H hq' hq
#align ratfunc.lift_on_condition_of_lift_on'_condition RatFunc.liftOn_condition_of_liftOn'_condition
section IsDomain
variable [IsDomain K]
protected irreducible_def mk (p q : K[X]) : RatFunc K :=
ofFractionRing (algebraMap _ _ p / algebraMap _ _ q)
#align ratfunc.mk RatFunc.mk
theorem mk_eq_div' (p q : K[X]) :
RatFunc.mk p q = ofFractionRing (algebraMap _ _ p / algebraMap _ _ q) := by rw [RatFunc.mk]
#align ratfunc.mk_eq_div' RatFunc.mk_eq_div'
theorem mk_zero (p : K[X]) : RatFunc.mk p 0 = ofFractionRing (0 : FractionRing K[X]) := by
rw [mk_eq_div', RingHom.map_zero, div_zero]
#align ratfunc.mk_zero RatFunc.mk_zero
theorem mk_coe_def (p : K[X]) (q : K[X]⁰) :
-- Porting note: filled in `(FractionRing K[X])` that was an underscore.
RatFunc.mk p q = ofFractionRing (IsLocalization.mk' (FractionRing K[X]) p q) := by
simp only [mk_eq_div', ← Localization.mk_eq_mk', FractionRing.mk_eq_div]
#align ratfunc.mk_coe_def RatFunc.mk_coe_def
theorem mk_def_of_mem (p : K[X]) {q} (hq : q ∈ K[X]⁰) :
RatFunc.mk p q = ofFractionRing (IsLocalization.mk' (FractionRing K[X]) p ⟨q, hq⟩) := by
-- Porting note: there was an `[anonymous]` in the simp set
simp only [← mk_coe_def]
#align ratfunc.mk_def_of_mem RatFunc.mk_def_of_mem
theorem mk_def_of_ne (p : K[X]) {q : K[X]} (hq : q ≠ 0) :
RatFunc.mk p q =
ofFractionRing (IsLocalization.mk' (FractionRing K[X]) p
⟨q, mem_nonZeroDivisors_iff_ne_zero.mpr hq⟩) :=
mk_def_of_mem p _
#align ratfunc.mk_def_of_ne RatFunc.mk_def_of_ne
theorem mk_eq_localization_mk (p : K[X]) {q : K[X]} (hq : q ≠ 0) :
RatFunc.mk p q =
ofFractionRing (Localization.mk p ⟨q, mem_nonZeroDivisors_iff_ne_zero.mpr hq⟩) := by
-- Porting note: the original proof, did not need to pass `hq`
rw [mk_def_of_ne _ hq, Localization.mk_eq_mk']
#align ratfunc.mk_eq_localization_mk RatFunc.mk_eq_localization_mk
-- porting note: replaced `algebraMap _ _` with `algebraMap K[X] (FractionRing K[X])`
| Mathlib/FieldTheory/RatFunc/Defs.lean | 189 | 192 | theorem mk_one' (p : K[X]) :
RatFunc.mk p 1 = ofFractionRing (algebraMap K[X] (FractionRing K[X]) p) := by |
-- Porting note: had to hint `M := K[X]⁰` below
rw [← IsLocalization.mk'_one (M := K[X]⁰) (FractionRing K[X]) p, ← mk_coe_def, Submonoid.coe_one]
|
import Mathlib.LinearAlgebra.Matrix.Gershgorin
import Mathlib.NumberTheory.NumberField.CanonicalEmbedding.ConvexBody
import Mathlib.NumberTheory.NumberField.Units.Basic
import Mathlib.RingTheory.RootsOfUnity.Basic
#align_import number_theory.number_field.units from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a"
open scoped NumberField
noncomputable section
open NumberField NumberField.InfinitePlace NumberField.Units BigOperators
variable (K : Type*) [Field K] [NumberField K]
namespace NumberField.Units.dirichletUnitTheorem
open scoped Classical
open Finset
variable {K}
def w₀ : InfinitePlace K := (inferInstance : Nonempty (InfinitePlace K)).some
variable (K)
def logEmbedding : Additive ((𝓞 K)ˣ) →+ ({w : InfinitePlace K // w ≠ w₀} → ℝ) :=
{ toFun := fun x w => mult w.val * Real.log (w.val ↑(Additive.toMul x))
map_zero' := by simp; rfl
map_add' := fun _ _ => by simp [Real.log_mul, mul_add]; rfl }
variable {K}
@[simp]
theorem logEmbedding_component (x : (𝓞 K)ˣ) (w : {w : InfinitePlace K // w ≠ w₀}) :
(logEmbedding K x) w = mult w.val * Real.log (w.val x) := rfl
theorem sum_logEmbedding_component (x : (𝓞 K)ˣ) :
∑ w, logEmbedding K x w = - mult (w₀ : InfinitePlace K) * Real.log (w₀ (x : K)) := by
have h := congr_arg Real.log (prod_eq_abs_norm (x : K))
rw [show |(Algebra.norm ℚ) (x : K)| = 1 from isUnit_iff_norm.mp x.isUnit, Rat.cast_one,
Real.log_one, Real.log_prod] at h
· simp_rw [Real.log_pow] at h
rw [← insert_erase (mem_univ w₀), sum_insert (not_mem_erase w₀ univ), add_comm,
add_eq_zero_iff_eq_neg] at h
convert h using 1
· refine (sum_subtype _ (fun w => ?_) (fun w => (mult w) * (Real.log (w (x : K))))).symm
exact ⟨ne_of_mem_erase, fun h => mem_erase_of_ne_of_mem h (mem_univ w)⟩
· norm_num
· exact fun w _ => pow_ne_zero _ (AbsoluteValue.ne_zero _ (coe_ne_zero x))
theorem mult_log_place_eq_zero {x : (𝓞 K)ˣ} {w : InfinitePlace K} :
mult w * Real.log (w x) = 0 ↔ w x = 1 := by
rw [mul_eq_zero, or_iff_right, Real.log_eq_zero, or_iff_right, or_iff_left]
· linarith [(apply_nonneg _ _ : 0 ≤ w x)]
· simp only [ne_eq, map_eq_zero, coe_ne_zero x, not_false_eq_true]
· refine (ne_of_gt ?_)
rw [mult]; split_ifs <;> norm_num
theorem logEmbedding_eq_zero_iff {x : (𝓞 K)ˣ} :
logEmbedding K x = 0 ↔ x ∈ torsion K := by
rw [mem_torsion]
refine ⟨fun h w => ?_, fun h => ?_⟩
· by_cases hw : w = w₀
· suffices -mult w₀ * Real.log (w₀ (x : K)) = 0 by
rw [neg_mul, neg_eq_zero, ← hw] at this
exact mult_log_place_eq_zero.mp this
rw [← sum_logEmbedding_component, sum_eq_zero]
exact fun w _ => congrFun h w
· exact mult_log_place_eq_zero.mp (congrFun h ⟨w, hw⟩)
· ext w
rw [logEmbedding_component, h w.val, Real.log_one, mul_zero, Pi.zero_apply]
theorem logEmbedding_component_le {r : ℝ} {x : (𝓞 K)ˣ} (hr : 0 ≤ r) (h : ‖logEmbedding K x‖ ≤ r)
(w : {w : InfinitePlace K // w ≠ w₀}) : |logEmbedding K x w| ≤ r := by
lift r to NNReal using hr
simp_rw [Pi.norm_def, NNReal.coe_le_coe, Finset.sup_le_iff, ← NNReal.coe_le_coe] at h
exact h w (mem_univ _)
theorem log_le_of_logEmbedding_le {r : ℝ} {x : (𝓞 K)ˣ} (hr : 0 ≤ r) (h : ‖logEmbedding K x‖ ≤ r)
(w : InfinitePlace K) : |Real.log (w x)| ≤ (Fintype.card (InfinitePlace K)) * r := by
have tool : ∀ x : ℝ, 0 ≤ x → x ≤ mult w * x := fun x hx => by
nth_rw 1 [← one_mul x]
refine mul_le_mul ?_ le_rfl hx ?_
all_goals { rw [mult]; split_ifs <;> norm_num }
by_cases hw : w = w₀
· have hyp := congr_arg (‖·‖) (sum_logEmbedding_component x).symm
replace hyp := (le_of_eq hyp).trans (norm_sum_le _ _)
simp_rw [norm_mul, norm_neg, Real.norm_eq_abs, Nat.abs_cast] at hyp
refine (le_trans ?_ hyp).trans ?_
· rw [← hw]
exact tool _ (abs_nonneg _)
· refine (sum_le_card_nsmul univ _ _
(fun w _ => logEmbedding_component_le hr h w)).trans ?_
rw [nsmul_eq_mul]
refine mul_le_mul ?_ le_rfl hr (Fintype.card (InfinitePlace K)).cast_nonneg
simp [card_univ]
· have hyp := logEmbedding_component_le hr h ⟨w, hw⟩
rw [logEmbedding_component, abs_mul, Nat.abs_cast] at hyp
refine (le_trans ?_ hyp).trans ?_
· exact tool _ (abs_nonneg _)
· nth_rw 1 [← one_mul r]
exact mul_le_mul (Nat.one_le_cast.mpr Fintype.card_pos) (le_of_eq rfl) hr (Nat.cast_nonneg _)
variable (K)
noncomputable def _root_.NumberField.Units.unitLattice :
AddSubgroup ({w : InfinitePlace K // w ≠ w₀} → ℝ) :=
AddSubgroup.map (logEmbedding K) ⊤
theorem unitLattice_inter_ball_finite (r : ℝ) :
((unitLattice K : Set ({ w : InfinitePlace K // w ≠ w₀} → ℝ)) ∩
Metric.closedBall 0 r).Finite := by
obtain hr | hr := lt_or_le r 0
· convert Set.finite_empty
rw [Metric.closedBall_eq_empty.mpr hr]
exact Set.inter_empty _
· suffices {x : (𝓞 K)ˣ | IsIntegral ℤ (x : K) ∧
∀ (φ : K →+* ℂ), ‖φ x‖ ≤ Real.exp ((Fintype.card (InfinitePlace K)) * r)}.Finite by
refine (Set.Finite.image (logEmbedding K) this).subset ?_
rintro _ ⟨⟨x, ⟨_, rfl⟩⟩, hx⟩
refine ⟨x, ⟨x.val.prop, (le_iff_le _ _).mp (fun w => (Real.log_le_iff_le_exp ?_).mp ?_)⟩, rfl⟩
· exact pos_iff.mpr (coe_ne_zero x)
· rw [mem_closedBall_zero_iff] at hx
exact (le_abs_self _).trans (log_le_of_logEmbedding_le hr hx w)
refine Set.Finite.of_finite_image ?_ (coe_injective K).injOn
refine (Embeddings.finite_of_norm_le K ℂ
(Real.exp ((Fintype.card (InfinitePlace K)) * r))).subset ?_
rintro _ ⟨x, ⟨⟨h_int, h_le⟩, rfl⟩⟩
exact ⟨h_int, h_le⟩
section span_top
open NumberField.mixedEmbedding NNReal
variable (w₁ : InfinitePlace K) {B : ℕ} (hB : minkowskiBound K 1 < (convexBodyLTFactor K) * B)
theorem seq_next {x : 𝓞 K} (hx : x ≠ 0) :
∃ y : 𝓞 K, y ≠ 0 ∧
(∀ w, w ≠ w₁ → w y < w x) ∧
|Algebra.norm ℚ (y : K)| ≤ B := by
have hx' := RingOfIntegers.coe_ne_zero_iff.mpr hx
let f : InfinitePlace K → ℝ≥0 :=
fun w => ⟨(w x) / 2, div_nonneg (AbsoluteValue.nonneg _ _) (by norm_num)⟩
suffices ∀ w, w ≠ w₁ → f w ≠ 0 by
obtain ⟨g, h_geqf, h_gprod⟩ := adjust_f K B this
obtain ⟨y, h_ynz, h_yle⟩ := exists_ne_zero_mem_ringOfIntegers_lt (f := g)
(by rw [convexBodyLT_volume]; convert hB; exact congr_arg ((↑): NNReal → ENNReal) h_gprod)
refine ⟨y, h_ynz, fun w hw => (h_geqf w hw ▸ h_yle w).trans ?_, ?_⟩
· rw [← Rat.cast_le (K := ℝ), Rat.cast_natCast]
calc
_ = ∏ w : InfinitePlace K, w (algebraMap _ K y) ^ mult w :=
(prod_eq_abs_norm (algebraMap _ K y)).symm
_ ≤ ∏ w : InfinitePlace K, (g w : ℝ) ^ mult w := by
refine prod_le_prod ?_ ?_
· exact fun _ _ => pow_nonneg (by positivity) _
· exact fun w _ => pow_le_pow_left (by positivity) (le_of_lt (h_yle w)) (mult w)
_ ≤ (B : ℝ) := by
simp_rw [← NNReal.coe_pow, ← NNReal.coe_prod]
exact le_of_eq (congr_arg toReal h_gprod)
· refine div_lt_self ?_ (by norm_num)
exact pos_iff.mpr hx'
intro _ _
rw [ne_eq, Nonneg.mk_eq_zero, div_eq_zero_iff, map_eq_zero, not_or]
exact ⟨hx', by norm_num⟩
def seq : ℕ → { x : 𝓞 K // x ≠ 0 }
| 0 => ⟨1, by norm_num⟩
| n + 1 =>
⟨(seq_next K w₁ hB (seq n).prop).choose, (seq_next K w₁ hB (seq n).prop).choose_spec.1⟩
theorem seq_ne_zero (n : ℕ) : algebraMap (𝓞 K) K (seq K w₁ hB n) ≠ 0 :=
RingOfIntegers.coe_ne_zero_iff.mpr (seq K w₁ hB n).prop
theorem seq_norm_ne_zero (n : ℕ) : Algebra.norm ℤ (seq K w₁ hB n : 𝓞 K) ≠ 0 :=
Algebra.norm_ne_zero_iff.mpr (Subtype.coe_ne_coe.1 (seq_ne_zero K w₁ hB n))
| Mathlib/NumberTheory/NumberField/Units/DirichletTheorem.lean | 249 | 262 | theorem seq_decreasing {n m : ℕ} (h : n < m) (w : InfinitePlace K) (hw : w ≠ w₁) :
w (algebraMap (𝓞 K) K (seq K w₁ hB m)) < w (algebraMap (𝓞 K) K (seq K w₁ hB n)) := by |
induction m with
| zero =>
exfalso
exact Nat.not_succ_le_zero n h
| succ m m_ih =>
cases eq_or_lt_of_le (Nat.le_of_lt_succ h) with
| inl hr =>
rw [hr]
exact (seq_next K w₁ hB (seq K w₁ hB m).prop).choose_spec.2.1 w hw
| inr hr =>
refine lt_trans ?_ (m_ih hr)
exact (seq_next K w₁ hB (seq K w₁ hB m).prop).choose_spec.2.1 w hw
|
import Mathlib.CategoryTheory.Bicategory.Functor.Oplax
#align_import category_theory.bicategory.natural_transformation from "leanprover-community/mathlib"@"4ff75f5b8502275a4c2eb2d2f02bdf84d7fb8993"
namespace CategoryTheory
open Category Bicategory
open scoped Bicategory
universe w₁ w₂ v₁ v₂ u₁ u₂
variable {B : Type u₁} [Bicategory.{w₁, v₁} B] {C : Type u₂} [Bicategory.{w₂, v₂} C]
structure OplaxNatTrans (F G : OplaxFunctor B C) where
app (a : B) : F.obj a ⟶ G.obj a
naturality {a b : B} (f : a ⟶ b) : F.map f ≫ app b ⟶ app a ≫ G.map f
naturality_naturality :
∀ {a b : B} {f g : a ⟶ b} (η : f ⟶ g),
F.map₂ η ▷ app b ≫ naturality g = naturality f ≫ app a ◁ G.map₂ η := by
aesop_cat
naturality_id :
∀ a : B,
naturality (𝟙 a) ≫ app a ◁ G.mapId a =
F.mapId a ▷ app a ≫ (λ_ (app a)).hom ≫ (ρ_ (app a)).inv := by
aesop_cat
naturality_comp :
∀ {a b c : B} (f : a ⟶ b) (g : b ⟶ c),
naturality (f ≫ g) ≫ app a ◁ G.mapComp f g =
F.mapComp f g ▷ app c ≫
(α_ _ _ _).hom ≫
F.map f ◁ naturality g ≫ (α_ _ _ _).inv ≫ naturality f ▷ G.map g ≫ (α_ _ _ _).hom := by
aesop_cat
#align category_theory.oplax_nat_trans CategoryTheory.OplaxNatTrans
#align category_theory.oplax_nat_trans.app CategoryTheory.OplaxNatTrans.app
#align category_theory.oplax_nat_trans.naturality CategoryTheory.OplaxNatTrans.naturality
#align category_theory.oplax_nat_trans.naturality_naturality' CategoryTheory.OplaxNatTrans.naturality_naturality
#align category_theory.oplax_nat_trans.naturality_naturality CategoryTheory.OplaxNatTrans.naturality_naturality
#align category_theory.oplax_nat_trans.naturality_id' CategoryTheory.OplaxNatTrans.naturality_id
#align category_theory.oplax_nat_trans.naturality_id CategoryTheory.OplaxNatTrans.naturality_id
#align category_theory.oplax_nat_trans.naturality_comp' CategoryTheory.OplaxNatTrans.naturality_comp
#align category_theory.oplax_nat_trans.naturality_comp CategoryTheory.OplaxNatTrans.naturality_comp
attribute [nolint docBlame] CategoryTheory.OplaxNatTrans.app
CategoryTheory.OplaxNatTrans.naturality
CategoryTheory.OplaxNatTrans.naturality_naturality
CategoryTheory.OplaxNatTrans.naturality_id
CategoryTheory.OplaxNatTrans.naturality_comp
attribute [reassoc (attr := simp)] OplaxNatTrans.naturality_naturality OplaxNatTrans.naturality_id
OplaxNatTrans.naturality_comp
namespace OplaxNatTrans
section
variable (F : OplaxFunctor B C)
@[simps]
def id : OplaxNatTrans F F where
app a := 𝟙 (F.obj a)
naturality {a b} f := (ρ_ (F.map f)).hom ≫ (λ_ (F.map f)).inv
#align category_theory.oplax_nat_trans.id CategoryTheory.OplaxNatTrans.id
instance : Inhabited (OplaxNatTrans F F) :=
⟨id F⟩
variable {F} {G H : OplaxFunctor B C} (η : OplaxNatTrans F G) (θ : OplaxNatTrans G H)
section
variable {a b c : B} {a' : C}
@[reassoc (attr := simp)]
theorem whiskerLeft_naturality_naturality (f : a' ⟶ G.obj a) {g h : a ⟶ b} (β : g ⟶ h) :
f ◁ G.map₂ β ▷ θ.app b ≫ f ◁ θ.naturality h =
f ◁ θ.naturality g ≫ f ◁ θ.app a ◁ H.map₂ β := by
simp_rw [← whiskerLeft_comp, naturality_naturality]
#align category_theory.oplax_nat_trans.whisker_left_naturality_naturality CategoryTheory.OplaxNatTrans.whiskerLeft_naturality_naturality
@[reassoc (attr := simp)]
theorem whiskerRight_naturality_naturality {f g : a ⟶ b} (β : f ⟶ g) (h : G.obj b ⟶ a') :
F.map₂ β ▷ η.app b ▷ h ≫ η.naturality g ▷ h =
η.naturality f ▷ h ≫ (α_ _ _ _).hom ≫ η.app a ◁ G.map₂ β ▷ h ≫ (α_ _ _ _).inv := by
rw [← comp_whiskerRight, naturality_naturality, comp_whiskerRight, whisker_assoc]
#align category_theory.oplax_nat_trans.whisker_right_naturality_naturality CategoryTheory.OplaxNatTrans.whiskerRight_naturality_naturality
@[reassoc (attr := simp)]
theorem whiskerLeft_naturality_comp (f : a' ⟶ G.obj a) (g : a ⟶ b) (h : b ⟶ c) :
f ◁ θ.naturality (g ≫ h) ≫ f ◁ θ.app a ◁ H.mapComp g h =
f ◁ G.mapComp g h ▷ θ.app c ≫
f ◁ (α_ _ _ _).hom ≫
f ◁ G.map g ◁ θ.naturality h ≫
f ◁ (α_ _ _ _).inv ≫ f ◁ θ.naturality g ▷ H.map h ≫ f ◁ (α_ _ _ _).hom := by
simp_rw [← whiskerLeft_comp, naturality_comp]
#align category_theory.oplax_nat_trans.whisker_left_naturality_comp CategoryTheory.OplaxNatTrans.whiskerLeft_naturality_comp
@[reassoc (attr := simp)]
theorem whiskerRight_naturality_comp (f : a ⟶ b) (g : b ⟶ c) (h : G.obj c ⟶ a') :
η.naturality (f ≫ g) ▷ h ≫ (α_ _ _ _).hom ≫ η.app a ◁ G.mapComp f g ▷ h =
F.mapComp f g ▷ η.app c ▷ h ≫
(α_ _ _ _).hom ▷ h ≫
(α_ _ _ _).hom ≫
F.map f ◁ η.naturality g ▷ h ≫
(α_ _ _ _).inv ≫
(α_ _ _ _).inv ▷ h ≫
η.naturality f ▷ G.map g ▷ h ≫ (α_ _ _ _).hom ▷ h ≫ (α_ _ _ _).hom := by
rw [← associator_naturality_middle, ← comp_whiskerRight_assoc, naturality_comp]; simp
#align category_theory.oplax_nat_trans.whisker_right_naturality_comp CategoryTheory.OplaxNatTrans.whiskerRight_naturality_comp
@[reassoc (attr := simp)]
theorem whiskerLeft_naturality_id (f : a' ⟶ G.obj a) :
f ◁ θ.naturality (𝟙 a) ≫ f ◁ θ.app a ◁ H.mapId a =
f ◁ G.mapId a ▷ θ.app a ≫ f ◁ (λ_ (θ.app a)).hom ≫ f ◁ (ρ_ (θ.app a)).inv := by
simp_rw [← whiskerLeft_comp, naturality_id]
#align category_theory.oplax_nat_trans.whisker_left_naturality_id CategoryTheory.OplaxNatTrans.whiskerLeft_naturality_id
@[reassoc (attr := simp)]
theorem whiskerRight_naturality_id (f : G.obj a ⟶ a') :
η.naturality (𝟙 a) ▷ f ≫ (α_ _ _ _).hom ≫ η.app a ◁ G.mapId a ▷ f =
F.mapId a ▷ η.app a ▷ f ≫ (λ_ (η.app a)).hom ▷ f ≫ (ρ_ (η.app a)).inv ▷ f ≫ (α_ _ _ _).hom := by
rw [← associator_naturality_middle, ← comp_whiskerRight_assoc, naturality_id]; simp
#align category_theory.oplax_nat_trans.whisker_right_naturality_id CategoryTheory.OplaxNatTrans.whiskerRight_naturality_id
end
@[simps]
def vcomp (η : OplaxNatTrans F G) (θ : OplaxNatTrans G H) : OplaxNatTrans F H where
app a := η.app a ≫ θ.app a
naturality {a b} f :=
(α_ _ _ _).inv ≫
η.naturality f ▷ θ.app b ≫ (α_ _ _ _).hom ≫ η.app a ◁ θ.naturality f ≫ (α_ _ _ _).inv
naturality_comp {a b c} f g := by
calc
_ =
?_ ≫
F.mapComp f g ▷ η.app c ▷ θ.app c ≫
?_ ≫
F.map f ◁ η.naturality g ▷ θ.app c ≫
?_ ≫
(F.map f ≫ η.app b) ◁ θ.naturality g ≫
η.naturality f ▷ (θ.app b ≫ H.map g) ≫
?_ ≫ η.app a ◁ θ.naturality f ▷ H.map g ≫ ?_ :=
?_
_ = _ := ?_
· exact (α_ _ _ _).inv
· exact (α_ _ _ _).hom ▷ _ ≫ (α_ _ _ _).hom
· exact _ ◁ (α_ _ _ _).hom ≫ (α_ _ _ _).inv
· exact (α_ _ _ _).hom ≫ _ ◁ (α_ _ _ _).inv
· exact _ ◁ (α_ _ _ _).hom ≫ (α_ _ _ _).inv
· rw [whisker_exchange_assoc]
simp
· simp
#align category_theory.oplax_nat_trans.vcomp CategoryTheory.OplaxNatTrans.vcomp
variable (B C)
@[simps id comp]
instance : CategoryStruct (OplaxFunctor B C) where
Hom := OplaxNatTrans
id := OplaxNatTrans.id
comp := OplaxNatTrans.vcomp
end
section
variable {F G : OplaxFunctor B C}
@[ext]
structure Modification (η θ : F ⟶ G) where
app (a : B) : η.app a ⟶ θ.app a
naturality :
∀ {a b : B} (f : a ⟶ b),
F.map f ◁ app b ≫ θ.naturality f = η.naturality f ≫ app a ▷ G.map f := by
aesop_cat
#align category_theory.oplax_nat_trans.modification CategoryTheory.OplaxNatTrans.Modification
#align category_theory.oplax_nat_trans.modification.app CategoryTheory.OplaxNatTrans.Modification
#align category_theory.oplax_nat_trans.modification.naturality' CategoryTheory.OplaxNatTrans.Modification.naturality
#align category_theory.oplax_nat_trans.modification.naturality CategoryTheory.OplaxNatTrans.Modification.naturality
attribute [nolint docBlame] CategoryTheory.OplaxNatTrans.Modification.app
CategoryTheory.OplaxNatTrans.Modification.naturality
attribute [reassoc (attr := simp)] Modification.naturality
variable {η θ ι : F ⟶ G}
namespace Modification
variable (η)
@[simps]
def id : Modification η η where app a := 𝟙 (η.app a)
#align category_theory.oplax_nat_trans.modification.id CategoryTheory.OplaxNatTrans.Modification.id
instance : Inhabited (Modification η η) :=
⟨Modification.id η⟩
variable {η}
section
variable (Γ : Modification η θ) {a b c : B} {a' : C}
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Bicategory/NaturalTransformation.lean | 246 | 248 | theorem whiskerLeft_naturality (f : a' ⟶ F.obj b) (g : b ⟶ c) :
f ◁ F.map g ◁ Γ.app c ≫ f ◁ θ.naturality g = f ◁ η.naturality g ≫ f ◁ Γ.app b ▷ G.map g := by |
simp_rw [← whiskerLeft_comp, naturality]
|
import Mathlib.Order.Filter.Lift
import Mathlib.Topology.Separation
import Mathlib.Order.Interval.Set.Monotone
#align_import topology.filter from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
open Set Filter TopologicalSpace
open Filter Topology
variable {ι : Sort*} {α β X Y : Type*}
namespace Filter
instance : TopologicalSpace (Filter α) :=
generateFrom <| range <| Iic ∘ 𝓟
theorem isOpen_Iic_principal {s : Set α} : IsOpen (Iic (𝓟 s)) :=
GenerateOpen.basic _ (mem_range_self _)
#align filter.is_open_Iic_principal Filter.isOpen_Iic_principal
theorem isOpen_setOf_mem {s : Set α} : IsOpen { l : Filter α | s ∈ l } := by
simpa only [Iic_principal] using isOpen_Iic_principal
#align filter.is_open_set_of_mem Filter.isOpen_setOf_mem
theorem isTopologicalBasis_Iic_principal :
IsTopologicalBasis (range (Iic ∘ 𝓟 : Set α → Set (Filter α))) :=
{ exists_subset_inter := by
rintro _ ⟨s, rfl⟩ _ ⟨t, rfl⟩ l hl
exact ⟨Iic (𝓟 s) ∩ Iic (𝓟 t), ⟨s ∩ t, by simp⟩, hl, Subset.rfl⟩
sUnion_eq := sUnion_eq_univ_iff.2 fun l => ⟨Iic ⊤, ⟨univ, congr_arg Iic principal_univ⟩,
mem_Iic.2 le_top⟩
eq_generateFrom := rfl }
#align filter.is_topological_basis_Iic_principal Filter.isTopologicalBasis_Iic_principal
theorem isOpen_iff {s : Set (Filter α)} : IsOpen s ↔ ∃ T : Set (Set α), s = ⋃ t ∈ T, Iic (𝓟 t) :=
isTopologicalBasis_Iic_principal.open_iff_eq_sUnion.trans <| by
simp only [exists_subset_range_and_iff, sUnion_image, (· ∘ ·)]
#align filter.is_open_iff Filter.isOpen_iff
theorem nhds_eq (l : Filter α) : 𝓝 l = l.lift' (Iic ∘ 𝓟) :=
nhds_generateFrom.trans <| by
simp only [mem_setOf_eq, @and_comm (l ∈ _), iInf_and, iInf_range, Filter.lift', Filter.lift,
(· ∘ ·), mem_Iic, le_principal_iff]
#align filter.nhds_eq Filter.nhds_eq
theorem nhds_eq' (l : Filter α) : 𝓝 l = l.lift' fun s => { l' | s ∈ l' } := by
simpa only [(· ∘ ·), Iic_principal] using nhds_eq l
#align filter.nhds_eq' Filter.nhds_eq'
protected theorem tendsto_nhds {la : Filter α} {lb : Filter β} {f : α → Filter β} :
Tendsto f la (𝓝 lb) ↔ ∀ s ∈ lb, ∀ᶠ a in la, s ∈ f a := by
simp only [nhds_eq', tendsto_lift', mem_setOf_eq]
#align filter.tendsto_nhds Filter.tendsto_nhds
protected theorem HasBasis.nhds {l : Filter α} {p : ι → Prop} {s : ι → Set α} (h : HasBasis l p s) :
HasBasis (𝓝 l) p fun i => Iic (𝓟 (s i)) := by
rw [nhds_eq]
exact h.lift' monotone_principal.Iic
#align filter.has_basis.nhds Filter.HasBasis.nhds
protected theorem tendsto_pure_self (l : Filter X) :
Tendsto (pure : X → Filter X) l (𝓝 l) := by
rw [Filter.tendsto_nhds]
exact fun s hs ↦ Eventually.mono hs fun x ↦ id
instance {l : Filter α} [IsCountablyGenerated l] : IsCountablyGenerated (𝓝 l) :=
let ⟨_b, hb⟩ := l.exists_antitone_basis
HasCountableBasis.isCountablyGenerated <| ⟨hb.nhds, Set.to_countable _⟩
theorem HasBasis.nhds' {l : Filter α} {p : ι → Prop} {s : ι → Set α} (h : HasBasis l p s) :
HasBasis (𝓝 l) p fun i => { l' | s i ∈ l' } := by simpa only [Iic_principal] using h.nhds
#align filter.has_basis.nhds' Filter.HasBasis.nhds'
protected theorem mem_nhds_iff {l : Filter α} {S : Set (Filter α)} :
S ∈ 𝓝 l ↔ ∃ t ∈ l, Iic (𝓟 t) ⊆ S :=
l.basis_sets.nhds.mem_iff
#align filter.mem_nhds_iff Filter.mem_nhds_iff
theorem mem_nhds_iff' {l : Filter α} {S : Set (Filter α)} :
S ∈ 𝓝 l ↔ ∃ t ∈ l, ∀ ⦃l' : Filter α⦄, t ∈ l' → l' ∈ S :=
l.basis_sets.nhds'.mem_iff
#align filter.mem_nhds_iff' Filter.mem_nhds_iff'
@[simp]
theorem nhds_bot : 𝓝 (⊥ : Filter α) = pure ⊥ := by
simp [nhds_eq, (· ∘ ·), lift'_bot monotone_principal.Iic]
#align filter.nhds_bot Filter.nhds_bot
@[simp]
theorem nhds_top : 𝓝 (⊤ : Filter α) = ⊤ := by simp [nhds_eq]
#align filter.nhds_top Filter.nhds_top
@[simp]
theorem nhds_principal (s : Set α) : 𝓝 (𝓟 s) = 𝓟 (Iic (𝓟 s)) :=
(hasBasis_principal s).nhds.eq_of_same_basis (hasBasis_principal _)
#align filter.nhds_principal Filter.nhds_principal
@[simp]
theorem nhds_pure (x : α) : 𝓝 (pure x : Filter α) = 𝓟 {⊥, pure x} := by
rw [← principal_singleton, nhds_principal, principal_singleton, Iic_pure]
#align filter.nhds_pure Filter.nhds_pure
@[simp]
theorem nhds_iInf (f : ι → Filter α) : 𝓝 (⨅ i, f i) = ⨅ i, 𝓝 (f i) := by
simp only [nhds_eq]
apply lift'_iInf_of_map_univ <;> simp
#align filter.nhds_infi Filter.nhds_iInf
@[simp]
| Mathlib/Topology/Filter.lean | 145 | 146 | theorem nhds_inf (l₁ l₂ : Filter α) : 𝓝 (l₁ ⊓ l₂) = 𝓝 l₁ ⊓ 𝓝 l₂ := by |
simpa only [iInf_bool_eq] using nhds_iInf fun b => cond b l₁ l₂
|
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
| Mathlib/Data/Sum/Basic.lean | 216 | 216 | theorem isRight_right (h : LiftRel r s (inr b) y) : y.isRight := by | cases h; rfl
|
import Mathlib.Algebra.Order.Field.Power
import Mathlib.NumberTheory.Padics.PadicVal
#align_import number_theory.padics.padic_norm from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7"
def padicNorm (p : ℕ) (q : ℚ) : ℚ :=
if q = 0 then 0 else (p : ℚ) ^ (-padicValRat p q)
#align padic_norm padicNorm
namespace padicNorm
open padicValRat
variable {p : ℕ}
@[simp]
protected theorem eq_zpow_of_nonzero {q : ℚ} (hq : q ≠ 0) :
padicNorm p q = (p : ℚ) ^ (-padicValRat p q) := by simp [hq, padicNorm]
#align padic_norm.eq_zpow_of_nonzero padicNorm.eq_zpow_of_nonzero
protected theorem nonneg (q : ℚ) : 0 ≤ padicNorm p q :=
if hq : q = 0 then by simp [hq, padicNorm]
else by
unfold padicNorm
split_ifs
apply zpow_nonneg
exact mod_cast Nat.zero_le _
#align padic_norm.nonneg padicNorm.nonneg
@[simp]
protected theorem zero : padicNorm p 0 = 0 := by simp [padicNorm]
#align padic_norm.zero padicNorm.zero
-- @[simp] -- Porting note (#10618): simp can prove this
protected theorem one : padicNorm p 1 = 1 := by simp [padicNorm]
#align padic_norm.one padicNorm.one
theorem padicNorm_p (hp : 1 < p) : padicNorm p p = (p : ℚ)⁻¹ := by
simp [padicNorm, (pos_of_gt hp).ne', padicValNat.self hp]
#align padic_norm.padic_norm_p padicNorm.padicNorm_p
@[simp]
theorem padicNorm_p_of_prime [Fact p.Prime] : padicNorm p p = (p : ℚ)⁻¹ :=
padicNorm_p <| Nat.Prime.one_lt Fact.out
#align padic_norm.padic_norm_p_of_prime padicNorm.padicNorm_p_of_prime
theorem padicNorm_of_prime_of_ne {q : ℕ} [p_prime : Fact p.Prime] [q_prime : Fact q.Prime]
(neq : p ≠ q) : padicNorm p q = 1 := by
have p : padicValRat p q = 0 := mod_cast padicValNat_primes neq
rw [padicNorm, p]
simp [q_prime.1.ne_zero]
#align padic_norm.padic_norm_of_prime_of_ne padicNorm.padicNorm_of_prime_of_ne
theorem padicNorm_p_lt_one (hp : 1 < p) : padicNorm p p < 1 := by
rw [padicNorm_p hp, inv_lt_one_iff]
exact mod_cast Or.inr hp
#align padic_norm.padic_norm_p_lt_one padicNorm.padicNorm_p_lt_one
theorem padicNorm_p_lt_one_of_prime [Fact p.Prime] : padicNorm p p < 1 :=
padicNorm_p_lt_one <| Nat.Prime.one_lt Fact.out
#align padic_norm.padic_norm_p_lt_one_of_prime padicNorm.padicNorm_p_lt_one_of_prime
protected theorem values_discrete {q : ℚ} (hq : q ≠ 0) : ∃ z : ℤ, padicNorm p q = (p : ℚ) ^ (-z) :=
⟨padicValRat p q, by simp [padicNorm, hq]⟩
#align padic_norm.values_discrete padicNorm.values_discrete
@[simp]
protected theorem neg (q : ℚ) : padicNorm p (-q) = padicNorm p q :=
if hq : q = 0 then by simp [hq] else by simp [padicNorm, hq]
#align padic_norm.neg padicNorm.neg
variable [hp : Fact p.Prime]
protected theorem nonzero {q : ℚ} (hq : q ≠ 0) : padicNorm p q ≠ 0 := by
rw [padicNorm.eq_zpow_of_nonzero hq]
apply zpow_ne_zero
exact mod_cast ne_of_gt hp.1.pos
#align padic_norm.nonzero padicNorm.nonzero
theorem zero_of_padicNorm_eq_zero {q : ℚ} (h : padicNorm p q = 0) : q = 0 := by
apply by_contradiction; intro hq
unfold padicNorm at h; rw [if_neg hq] at h
apply absurd h
apply zpow_ne_zero
exact mod_cast hp.1.ne_zero
#align padic_norm.zero_of_padic_norm_eq_zero padicNorm.zero_of_padicNorm_eq_zero
@[simp]
protected theorem mul (q r : ℚ) : padicNorm p (q * r) = padicNorm p q * padicNorm p r :=
if hq : q = 0 then by simp [hq]
else
if hr : r = 0 then by simp [hr]
else by
have : (p : ℚ) ≠ 0 := by simp [hp.1.ne_zero]
simp [padicNorm, *, padicValRat.mul, zpow_add₀ this, mul_comm]
#align padic_norm.mul padicNorm.mul
@[simp]
protected theorem div (q r : ℚ) : padicNorm p (q / r) = padicNorm p q / padicNorm p r :=
if hr : r = 0 then by simp [hr]
else eq_div_of_mul_eq (padicNorm.nonzero hr) (by rw [← padicNorm.mul, div_mul_cancel₀ _ hr])
#align padic_norm.div padicNorm.div
protected theorem of_int (z : ℤ) : padicNorm p z ≤ 1 :=
if hz : z = 0 then by simp [hz, zero_le_one]
else by
unfold padicNorm
rw [if_neg _]
· refine zpow_le_one_of_nonpos ?_ ?_
· exact mod_cast le_of_lt hp.1.one_lt
· rw [padicValRat.of_int, neg_nonpos]
norm_cast
simp
exact mod_cast hz
#align padic_norm.of_int padicNorm.of_int
private theorem nonarchimedean_aux {q r : ℚ} (h : padicValRat p q ≤ padicValRat p r) :
padicNorm p (q + r) ≤ max (padicNorm p q) (padicNorm p r) :=
have hnqp : padicNorm p q ≥ 0 := padicNorm.nonneg _
have hnrp : padicNorm p r ≥ 0 := padicNorm.nonneg _
if hq : q = 0 then by simp [hq, max_eq_right hnrp, le_max_right]
else
if hr : r = 0 then by simp [hr, max_eq_left hnqp, le_max_left]
else
if hqr : q + r = 0 then le_trans (by simpa [hqr] using hnqp) (le_max_left _ _)
else by
unfold padicNorm; split_ifs
apply le_max_iff.2
left
apply zpow_le_of_le
· exact mod_cast le_of_lt hp.1.one_lt
· apply neg_le_neg
have : padicValRat p q = min (padicValRat p q) (padicValRat p r) := (min_eq_left h).symm
rw [this]
exact min_le_padicValRat_add hqr
protected theorem nonarchimedean {q r : ℚ} :
padicNorm p (q + r) ≤ max (padicNorm p q) (padicNorm p r) := by
wlog hle : padicValRat p q ≤ padicValRat p r generalizing q r
· rw [add_comm, max_comm]
exact this (le_of_not_le hle)
exact nonarchimedean_aux hle
#align padic_norm.nonarchimedean padicNorm.nonarchimedean
theorem triangle_ineq (q r : ℚ) : padicNorm p (q + r) ≤ padicNorm p q + padicNorm p r :=
calc
padicNorm p (q + r) ≤ max (padicNorm p q) (padicNorm p r) := padicNorm.nonarchimedean
_ ≤ padicNorm p q + padicNorm p r :=
max_le_add_of_nonneg (padicNorm.nonneg _) (padicNorm.nonneg _)
#align padic_norm.triangle_ineq padicNorm.triangle_ineq
protected theorem sub {q r : ℚ} : padicNorm p (q - r) ≤ max (padicNorm p q) (padicNorm p r) := by
rw [sub_eq_add_neg, ← padicNorm.neg r]
exact padicNorm.nonarchimedean
#align padic_norm.sub padicNorm.sub
theorem add_eq_max_of_ne {q r : ℚ} (hne : padicNorm p q ≠ padicNorm p r) :
padicNorm p (q + r) = max (padicNorm p q) (padicNorm p r) := by
wlog hlt : padicNorm p r < padicNorm p q
· rw [add_comm, max_comm]
exact this hne.symm (hne.lt_or_lt.resolve_right hlt)
have : padicNorm p q ≤ max (padicNorm p (q + r)) (padicNorm p r) :=
calc
padicNorm p q = padicNorm p (q + r + (-r)) := by ring_nf
_ ≤ max (padicNorm p (q + r)) (padicNorm p (-r)) := padicNorm.nonarchimedean
_ = max (padicNorm p (q + r)) (padicNorm p r) := by simp
have hnge : padicNorm p r ≤ padicNorm p (q + r) := by
apply le_of_not_gt
intro hgt
rw [max_eq_right_of_lt hgt] at this
exact not_lt_of_ge this hlt
have : padicNorm p q ≤ padicNorm p (q + r) := by rwa [max_eq_left hnge] at this
apply _root_.le_antisymm
· apply padicNorm.nonarchimedean
· rwa [max_eq_left_of_lt hlt]
#align padic_norm.add_eq_max_of_ne padicNorm.add_eq_max_of_ne
instance : IsAbsoluteValue (padicNorm p) where
abv_nonneg' := padicNorm.nonneg
abv_eq_zero' := ⟨zero_of_padicNorm_eq_zero, fun hx ↦ by simp [hx]⟩
abv_add' := padicNorm.triangle_ineq
abv_mul' := padicNorm.mul
theorem dvd_iff_norm_le {n : ℕ} {z : ℤ} : ↑(p ^ n) ∣ z ↔ padicNorm p z ≤ (p : ℚ) ^ (-n : ℤ) := by
unfold padicNorm; split_ifs with hz
· norm_cast at hz
simp [hz]
· rw [zpow_le_iff_le, neg_le_neg_iff, padicValRat.of_int,
padicValInt.of_ne_one_ne_zero hp.1.ne_one _]
· norm_cast
rw [← PartENat.coe_le_coe, PartENat.natCast_get, ← multiplicity.pow_dvd_iff_le_multiplicity,
Nat.cast_pow]
exact mod_cast hz
· exact mod_cast hp.1.one_lt
#align padic_norm.dvd_iff_norm_le padicNorm.dvd_iff_norm_le
theorem int_eq_one_iff (m : ℤ) : padicNorm p m = 1 ↔ ¬(p : ℤ) ∣ m := by
nth_rw 2 [← pow_one p]
simp only [dvd_iff_norm_le, Int.cast_natCast, Nat.cast_one, zpow_neg, zpow_one, not_le]
constructor
· intro h
rw [h, inv_lt_one_iff_of_pos] <;> norm_cast
· exact Nat.Prime.one_lt Fact.out
· exact Nat.Prime.pos Fact.out
· simp only [padicNorm]
split_ifs
· rw [inv_lt_zero, ← Nat.cast_zero, Nat.cast_lt]
intro h
exact (Nat.not_lt_zero p h).elim
· have : 1 < (p : ℚ) := by norm_cast; exact Nat.Prime.one_lt (Fact.out : Nat.Prime p)
rw [← zpow_neg_one, zpow_lt_iff_lt this]
have : 0 ≤ padicValRat p m := by simp only [of_int, Nat.cast_nonneg]
intro h
rw [← zpow_zero (p : ℚ), zpow_inj] <;> linarith
#align padic_norm.int_eq_one_iff padicNorm.int_eq_one_iff
theorem int_lt_one_iff (m : ℤ) : padicNorm p m < 1 ↔ (p : ℤ) ∣ m := by
rw [← not_iff_not, ← int_eq_one_iff, eq_iff_le_not_lt]
simp only [padicNorm.of_int, true_and_iff]
#align padic_norm.int_lt_one_iff padicNorm.int_lt_one_iff
theorem of_nat (m : ℕ) : padicNorm p m ≤ 1 :=
padicNorm.of_int (m : ℤ)
#align padic_norm.of_nat padicNorm.of_nat
| Mathlib/NumberTheory/Padics/PadicNorm.lean | 298 | 299 | theorem nat_eq_one_iff (m : ℕ) : padicNorm p m = 1 ↔ ¬p ∣ m := by |
rw [← Int.natCast_dvd_natCast, ← int_eq_one_iff, Int.cast_natCast]
|
import Mathlib.Analysis.Normed.Group.Pointwise
import Mathlib.Analysis.NormedSpace.Real
#align_import analysis.normed_space.pointwise from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156"
open Metric Set
open Pointwise Topology
variable {𝕜 E : Type*}
variable [NormedField 𝕜]
section SeminormedAddCommGroup
variable [SeminormedAddCommGroup E] [NormedSpace 𝕜 E]
theorem smul_ball {c : 𝕜} (hc : c ≠ 0) (x : E) (r : ℝ) : c • ball x r = ball (c • x) (‖c‖ * r) := by
ext y
rw [mem_smul_set_iff_inv_smul_mem₀ hc]
conv_lhs => rw [← inv_smul_smul₀ hc x]
simp [← div_eq_inv_mul, div_lt_iff (norm_pos_iff.2 hc), mul_comm _ r, dist_smul₀]
#align smul_ball smul_ball
theorem smul_unitBall {c : 𝕜} (hc : c ≠ 0) : c • ball (0 : E) (1 : ℝ) = ball (0 : E) ‖c‖ := by
rw [_root_.smul_ball hc, smul_zero, mul_one]
#align smul_unit_ball smul_unitBall
theorem smul_sphere' {c : 𝕜} (hc : c ≠ 0) (x : E) (r : ℝ) :
c • sphere x r = sphere (c • x) (‖c‖ * r) := by
ext y
rw [mem_smul_set_iff_inv_smul_mem₀ hc]
conv_lhs => rw [← inv_smul_smul₀ hc x]
simp only [mem_sphere, dist_smul₀, norm_inv, ← div_eq_inv_mul, div_eq_iff (norm_pos_iff.2 hc).ne',
mul_comm r]
#align smul_sphere' smul_sphere'
theorem smul_closedBall' {c : 𝕜} (hc : c ≠ 0) (x : E) (r : ℝ) :
c • closedBall x r = closedBall (c • x) (‖c‖ * r) := by
simp only [← ball_union_sphere, Set.smul_set_union, _root_.smul_ball hc, smul_sphere' hc]
#align smul_closed_ball' smul_closedBall'
theorem set_smul_sphere_zero {s : Set 𝕜} (hs : 0 ∉ s) (r : ℝ) :
s • sphere (0 : E) r = (‖·‖) ⁻¹' ((‖·‖ * r) '' s) :=
calc
s • sphere (0 : E) r = ⋃ c ∈ s, c • sphere (0 : E) r := iUnion_smul_left_image.symm
_ = ⋃ c ∈ s, sphere (0 : E) (‖c‖ * r) := iUnion₂_congr fun c hc ↦ by
rw [smul_sphere' (ne_of_mem_of_not_mem hc hs), smul_zero]
_ = (‖·‖) ⁻¹' ((‖·‖ * r) '' s) := by ext; simp [eq_comm]
theorem Bornology.IsBounded.smul₀ {s : Set E} (hs : IsBounded s) (c : 𝕜) : IsBounded (c • s) :=
(lipschitzWith_smul c).isBounded_image hs
#align metric.bounded.smul Bornology.IsBounded.smul₀
theorem eventually_singleton_add_smul_subset {x : E} {s : Set E} (hs : Bornology.IsBounded s)
{u : Set E} (hu : u ∈ 𝓝 x) : ∀ᶠ r in 𝓝 (0 : 𝕜), {x} + r • s ⊆ u := by
obtain ⟨ε, εpos, hε⟩ : ∃ ε : ℝ, 0 < ε ∧ closedBall x ε ⊆ u := nhds_basis_closedBall.mem_iff.1 hu
obtain ⟨R, Rpos, hR⟩ : ∃ R : ℝ, 0 < R ∧ s ⊆ closedBall 0 R := hs.subset_closedBall_lt 0 0
have : Metric.closedBall (0 : 𝕜) (ε / R) ∈ 𝓝 (0 : 𝕜) := closedBall_mem_nhds _ (div_pos εpos Rpos)
filter_upwards [this] with r hr
simp only [image_add_left, singleton_add]
intro y hy
obtain ⟨z, zs, hz⟩ : ∃ z : E, z ∈ s ∧ r • z = -x + y := by simpa [mem_smul_set] using hy
have I : ‖r • z‖ ≤ ε :=
calc
‖r • z‖ = ‖r‖ * ‖z‖ := norm_smul _ _
_ ≤ ε / R * R :=
(mul_le_mul (mem_closedBall_zero_iff.1 hr) (mem_closedBall_zero_iff.1 (hR zs))
(norm_nonneg _) (div_pos εpos Rpos).le)
_ = ε := by field_simp
have : y = x + r • z := by simp only [hz, add_neg_cancel_left]
apply hε
simpa only [this, dist_eq_norm, add_sub_cancel_left, mem_closedBall] using I
#align eventually_singleton_add_smul_subset eventually_singleton_add_smul_subset
variable [NormedSpace ℝ E] {x y z : E} {δ ε : ℝ}
theorem smul_unitBall_of_pos {r : ℝ} (hr : 0 < r) : r • ball (0 : E) 1 = ball (0 : E) r := by
rw [smul_unitBall hr.ne', Real.norm_of_nonneg hr.le]
#align smul_unit_ball_of_pos smul_unitBall_of_pos
lemma Ioo_smul_sphere_zero {a b r : ℝ} (ha : 0 ≤ a) (hr : 0 < r) :
Ioo a b • sphere (0 : E) r = ball 0 (b * r) \ closedBall 0 (a * r) := by
have : EqOn (‖·‖) id (Ioo a b) := fun x hx ↦ abs_of_pos (ha.trans_lt hx.1)
rw [set_smul_sphere_zero (by simp [ha.not_lt]), ← image_image (· * r), this.image_eq, image_id,
image_mul_right_Ioo _ _ hr]
ext x; simp [and_comm]
-- This is also true for `ℚ`-normed spaces
theorem exists_dist_eq (x z : E) {a b : ℝ} (ha : 0 ≤ a) (hb : 0 ≤ b) (hab : a + b = 1) :
∃ y, dist x y = b * dist x z ∧ dist y z = a * dist x z := by
use a • x + b • z
nth_rw 1 [← one_smul ℝ x]
nth_rw 4 [← one_smul ℝ z]
simp [dist_eq_norm, ← hab, add_smul, ← smul_sub, norm_smul_of_nonneg, ha, hb]
#align exists_dist_eq exists_dist_eq
theorem exists_dist_le_le (hδ : 0 ≤ δ) (hε : 0 ≤ ε) (h : dist x z ≤ ε + δ) :
∃ y, dist x y ≤ δ ∧ dist y z ≤ ε := by
obtain rfl | hε' := hε.eq_or_lt
· exact ⟨z, by rwa [zero_add] at h, (dist_self _).le⟩
have hεδ := add_pos_of_pos_of_nonneg hε' hδ
refine (exists_dist_eq x z (div_nonneg hε <| add_nonneg hε hδ)
(div_nonneg hδ <| add_nonneg hε hδ) <| by
rw [← add_div, div_self hεδ.ne']).imp
fun y hy => ?_
rw [hy.1, hy.2, div_mul_comm, div_mul_comm ε]
rw [← div_le_one hεδ] at h
exact ⟨mul_le_of_le_one_left hδ h, mul_le_of_le_one_left hε h⟩
#align exists_dist_le_le exists_dist_le_le
-- This is also true for `ℚ`-normed spaces
theorem exists_dist_le_lt (hδ : 0 ≤ δ) (hε : 0 < ε) (h : dist x z < ε + δ) :
∃ y, dist x y ≤ δ ∧ dist y z < ε := by
refine (exists_dist_eq x z (div_nonneg hε.le <| add_nonneg hε.le hδ)
(div_nonneg hδ <| add_nonneg hε.le hδ) <| by
rw [← add_div, div_self (add_pos_of_pos_of_nonneg hε hδ).ne']).imp
fun y hy => ?_
rw [hy.1, hy.2, div_mul_comm, div_mul_comm ε]
rw [← div_lt_one (add_pos_of_pos_of_nonneg hε hδ)] at h
exact ⟨mul_le_of_le_one_left hδ h.le, mul_lt_of_lt_one_left hε h⟩
#align exists_dist_le_lt exists_dist_le_lt
-- This is also true for `ℚ`-normed spaces
theorem exists_dist_lt_le (hδ : 0 < δ) (hε : 0 ≤ ε) (h : dist x z < ε + δ) :
∃ y, dist x y < δ ∧ dist y z ≤ ε := by
obtain ⟨y, yz, xy⟩ :=
exists_dist_le_lt hε hδ (show dist z x < δ + ε by simpa only [dist_comm, add_comm] using h)
exact ⟨y, by simp [dist_comm x y, dist_comm y z, *]⟩
#align exists_dist_lt_le exists_dist_lt_le
-- This is also true for `ℚ`-normed spaces
| Mathlib/Analysis/NormedSpace/Pointwise.lean | 205 | 213 | theorem exists_dist_lt_lt (hδ : 0 < δ) (hε : 0 < ε) (h : dist x z < ε + δ) :
∃ y, dist x y < δ ∧ dist y z < ε := by |
refine (exists_dist_eq x z (div_nonneg hε.le <| add_nonneg hε.le hδ.le)
(div_nonneg hδ.le <| add_nonneg hε.le hδ.le) <| by
rw [← add_div, div_self (add_pos hε hδ).ne']).imp
fun y hy => ?_
rw [hy.1, hy.2, div_mul_comm, div_mul_comm ε]
rw [← div_lt_one (add_pos hε hδ)] at h
exact ⟨mul_lt_of_lt_one_left hδ h, mul_lt_of_lt_one_left hε h⟩
|
import Mathlib.Data.Part
import Mathlib.Data.Rel
#align_import data.pfun from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
open Function
def PFun (α β : Type*) :=
α → Part β
#align pfun PFun
infixr:25 " →. " => PFun
namespace PFun
variable {α β γ δ ε ι : Type*}
instance inhabited : Inhabited (α →. β) :=
⟨fun _ => Part.none⟩
#align pfun.inhabited PFun.inhabited
def Dom (f : α →. β) : Set α :=
{ a | (f a).Dom }
#align pfun.dom PFun.Dom
@[simp]
| Mathlib/Data/PFun.lean | 80 | 80 | theorem mem_dom (f : α →. β) (x : α) : x ∈ Dom f ↔ ∃ y, y ∈ f x := by | simp [Dom, Part.dom_iff_mem]
|
import Mathlib.Order.Filter.Lift
import Mathlib.Topology.Defs.Filter
#align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40"
noncomputable section
open Set Filter
universe u v w x
def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T)
(sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T)
(union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where
IsOpen X := Xᶜ ∈ T
isOpen_univ := by simp [empty_mem]
isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht
isOpen_sUnion s hs := by
simp only [Set.compl_sUnion]
exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy
#align topological_space.of_closed TopologicalSpace.ofClosed
section TopologicalSpace
variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*}
{x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop}
open Topology
lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl
#align is_open_mk isOpen_mk
@[ext]
protected theorem TopologicalSpace.ext :
∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align topological_space_eq TopologicalSpace.ext
section
variable [TopologicalSpace X]
end
protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} :
t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s :=
⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
#align topological_space_eq_iff TopologicalSpace.ext_iff
theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s :=
rfl
#align is_open_fold isOpen_fold
variable [TopologicalSpace X]
theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) :=
isOpen_sUnion (forall_mem_range.2 h)
#align is_open_Union isOpen_iUnion
theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋃ i ∈ s, f i) :=
isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi
#align is_open_bUnion isOpen_biUnion
theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by
rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩)
#align is_open.union IsOpen.union
lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) :
IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by
refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩
rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter]
exact isOpen_iUnion fun i ↦ h i
@[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by
rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim
#align is_open_empty isOpen_empty
theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) :
(∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) :=
Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by
simp only [sInter_insert, forall_mem_insert] at h ⊢
exact h.1.inter (ih h.2)
#align is_open_sInter Set.Finite.isOpen_sInter
theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h)
#align is_open_bInter Set.Finite.isOpen_biInter
theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) :
IsOpen (⋂ i, s i) :=
(finite_range _).isOpen_sInter (forall_mem_range.2 h)
#align is_open_Inter isOpen_iInter_of_finite
theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
s.finite_toSet.isOpen_biInter h
#align is_open_bInter_finset isOpen_biInter_finset
@[simp] -- Porting note: added `simp`
theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*]
#align is_open_const isOpen_const
theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } :=
IsOpen.inter
#align is_open.and IsOpen.and
@[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s :=
⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩
#align is_open_compl_iff isOpen_compl_iff
theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} :
t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by
rw [TopologicalSpace.ext_iff, compl_surjective.forall]
simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂]
alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed
-- Porting note (#10756): new lemma
theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩
@[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const
#align is_closed_empty isClosed_empty
@[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const
#align is_closed_univ isClosed_univ
theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by
simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter
#align is_closed.union IsClosed.union
theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by
simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion
#align is_closed_sInter isClosed_sInter
theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) :=
isClosed_sInter <| forall_mem_range.2 h
#align is_closed_Inter isClosed_iInter
theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋂ i ∈ s, f i) :=
isClosed_iInter fun i => isClosed_iInter <| h i
#align is_closed_bInter isClosed_biInter
@[simp]
theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by
rw [← isOpen_compl_iff, compl_compl]
#align is_closed_compl_iff isClosed_compl_iff
alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff
#align is_open.is_closed_compl IsOpen.isClosed_compl
theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) :=
IsOpen.inter h₁ h₂.isOpen_compl
#align is_open.sdiff IsOpen.sdiff
theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by
rw [← isOpen_compl_iff] at *
rw [compl_inter]
exact IsOpen.union h₁ h₂
#align is_closed.inter IsClosed.inter
theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) :=
IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂)
#align is_closed.sdiff IsClosed.sdiff
theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact hs.isOpen_biInter h
#align is_closed_bUnion Set.Finite.isClosed_biUnion
lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) :=
s.finite_toSet.isClosed_biUnion h
theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) :
IsClosed (⋃ i, s i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact isOpen_iInter_of_finite h
#align is_closed_Union isClosed_iUnion_of_finite
theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) :
IsClosed { x | p x → q x } := by
simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq
#align is_closed_imp isClosed_imp
theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } :=
isOpen_compl_iff.mpr
#align is_closed.not IsClosed.not
theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by
simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm]
#align mem_interior mem_interiorₓ
@[simp]
theorem isOpen_interior : IsOpen (interior s) :=
isOpen_sUnion fun _ => And.left
#align is_open_interior isOpen_interior
theorem interior_subset : interior s ⊆ s :=
sUnion_subset fun _ => And.right
#align interior_subset interior_subset
theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s :=
subset_sUnion_of_mem ⟨h₂, h₁⟩
#align interior_maximal interior_maximal
theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s :=
interior_subset.antisymm (interior_maximal (Subset.refl s) h)
#align is_open.interior_eq IsOpen.interior_eq
theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s :=
⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩
#align interior_eq_iff_is_open interior_eq_iff_isOpen
theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by
simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and]
#align subset_interior_iff_is_open subset_interior_iff_isOpen
theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t :=
⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩
#align is_open.subset_interior_iff IsOpen.subset_interior_iff
theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s :=
⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ =>
htU.trans (interior_maximal hUs hU)⟩
#align subset_interior_iff subset_interior_iff
lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by
simp [interior]
@[mono, gcongr]
theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t :=
interior_maximal (Subset.trans interior_subset h) isOpen_interior
#align interior_mono interior_mono
@[simp]
theorem interior_empty : interior (∅ : Set X) = ∅ :=
isOpen_empty.interior_eq
#align interior_empty interior_empty
@[simp]
theorem interior_univ : interior (univ : Set X) = univ :=
isOpen_univ.interior_eq
#align interior_univ interior_univ
@[simp]
theorem interior_eq_univ : interior s = univ ↔ s = univ :=
⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩
#align interior_eq_univ interior_eq_univ
@[simp]
theorem interior_interior : interior (interior s) = interior s :=
isOpen_interior.interior_eq
#align interior_interior interior_interior
@[simp]
theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t :=
(Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <|
interior_maximal (inter_subset_inter interior_subset interior_subset) <|
isOpen_interior.inter isOpen_interior
#align interior_inter interior_inter
theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
hs.induction_on (by simp) <| by intros; simp [*]
theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) :
interior (⋂₀ S) = ⋂ s ∈ S, interior s := by
rw [sInter_eq_biInter, hS.interior_biInter]
@[simp]
theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
s.finite_toSet.interior_biInter f
#align finset.interior_Inter Finset.interior_iInter
@[simp]
theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) :
interior (⋂ i, f i) = ⋂ i, interior (f i) := by
rw [← sInter_range, (finite_range f).interior_sInter, biInter_range]
#align interior_Inter interior_iInter_of_finite
theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s)
(h₂ : interior t = ∅) : interior (s ∪ t) = interior s :=
have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ =>
by_contradiction fun hx₂ : x ∉ s =>
have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂
have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff]
have : u \ s ⊆ ∅ := by rwa [h₂] at this
this ⟨hx₁, hx₂⟩
Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left)
#align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty
theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by
rw [← subset_interior_iff_isOpen]
simp only [subset_def, mem_interior]
#align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open
theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) :=
subset_iInter fun _ => interior_mono <| iInter_subset _ _
#align interior_Inter_subset interior_iInter_subset
theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) :
interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) :=
(interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _
#align interior_Inter₂_subset interior_iInter₂_subset
theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s :=
calc
interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter]
_ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _
#align interior_sInter_subset interior_sInter_subset
theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) :=
h.lift' fun _ _ ↦ interior_mono
theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦
mem_of_superset (mem_lift' hs) interior_subset
theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l :=
le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by
simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi
@[simp]
theorem isClosed_closure : IsClosed (closure s) :=
isClosed_sInter fun _ => And.left
#align is_closed_closure isClosed_closure
theorem subset_closure : s ⊆ closure s :=
subset_sInter fun _ => And.right
#align subset_closure subset_closure
theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h =>
hP (subset_closure h)
#align not_mem_of_not_mem_closure not_mem_of_not_mem_closure
theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t :=
sInter_subset_of_mem ⟨h₂, h₁⟩
#align closure_minimal closure_minimal
theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) :
Disjoint (closure s) t :=
disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl
#align disjoint.closure_left Disjoint.closure_left
theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) :
Disjoint s (closure t) :=
(hd.symm.closure_left hs).symm
#align disjoint.closure_right Disjoint.closure_right
theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s :=
Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure
#align is_closed.closure_eq IsClosed.closure_eq
theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s :=
closure_minimal (Subset.refl _) hs
#align is_closed.closure_subset IsClosed.closure_subset
theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t :=
⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩
#align is_closed.closure_subset_iff IsClosed.closure_subset_iff
theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) :
x ∈ s ↔ closure ({x} : Set X) ⊆ s :=
(hs.closure_subset_iff.trans Set.singleton_subset_iff).symm
#align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset
@[mono, gcongr]
theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t :=
closure_minimal (Subset.trans h subset_closure) isClosed_closure
#align closure_mono closure_mono
theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ =>
closure_mono
#align monotone_closure monotone_closure
theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by
rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure]
#align diff_subset_closure_iff diff_subset_closure_iff
theorem closure_inter_subset_inter_closure (s t : Set X) :
closure (s ∩ t) ⊆ closure s ∩ closure t :=
(monotone_closure X).map_inf_le s t
#align closure_inter_subset_inter_closure closure_inter_subset_inter_closure
theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by
rw [subset_closure.antisymm h]; exact isClosed_closure
#align is_closed_of_closure_subset isClosed_of_closure_subset
theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s :=
⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩
#align closure_eq_iff_is_closed closure_eq_iff_isClosed
theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s :=
⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩
#align closure_subset_iff_is_closed closure_subset_iff_isClosed
@[simp]
theorem closure_empty : closure (∅ : Set X) = ∅ :=
isClosed_empty.closure_eq
#align closure_empty closure_empty
@[simp]
theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ :=
⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩
#align closure_empty_iff closure_empty_iff
@[simp]
theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by
simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff]
#align closure_nonempty_iff closure_nonempty_iff
alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff
#align set.nonempty.of_closure Set.Nonempty.of_closure
#align set.nonempty.closure Set.Nonempty.closure
@[simp]
theorem closure_univ : closure (univ : Set X) = univ :=
isClosed_univ.closure_eq
#align closure_univ closure_univ
@[simp]
theorem closure_closure : closure (closure s) = closure s :=
isClosed_closure.closure_eq
#align closure_closure closure_closure
theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by
rw [interior, closure, compl_sUnion, compl_image_set_of]
simp only [compl_subset_compl, isOpen_compl_iff]
#align closure_eq_compl_interior_compl closure_eq_compl_interior_compl
@[simp]
theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by
simp [closure_eq_compl_interior_compl, compl_inter]
#align closure_union closure_union
theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by
simp [closure_eq_compl_interior_compl, hs.interior_biInter]
theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) :
closure (⋃₀ S) = ⋃ s ∈ S, closure s := by
rw [sUnion_eq_biUnion, hS.closure_biUnion]
@[simp]
theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) :=
s.finite_toSet.closure_biUnion f
#align finset.closure_bUnion Finset.closure_biUnion
@[simp]
theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) :
closure (⋃ i, f i) = ⋃ i, closure (f i) := by
rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range]
#align closure_Union closure_iUnion_of_finite
theorem interior_subset_closure : interior s ⊆ closure s :=
Subset.trans interior_subset subset_closure
#align interior_subset_closure interior_subset_closure
@[simp]
theorem interior_compl : interior sᶜ = (closure s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align interior_compl interior_compl
@[simp]
theorem closure_compl : closure sᶜ = (interior s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align closure_compl closure_compl
theorem mem_closure_iff :
x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty :=
⟨fun h o oo ao =>
by_contradiction fun os =>
have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩
closure_minimal this (isClosed_compl_iff.2 oo) h ao,
fun H _ ⟨h₁, h₂⟩ =>
by_contradiction fun nc =>
let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc
hc (h₂ hs)⟩
#align mem_closure_iff mem_closure_iff
theorem closure_inter_open_nonempty_iff (h : IsOpen t) :
(closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty :=
⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h =>
h.mono <| inf_le_inf_right t subset_closure⟩
#align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff
theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure :=
le_lift'.2 fun _ h => mem_of_superset h subset_closure
#align filter.le_lift'_closure Filter.le_lift'_closure
theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) :=
h.lift' (monotone_closure X)
#align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure
theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l :=
le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi))
l.le_lift'_closure
#align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self
@[simp]
theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ :=
⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h =>
h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩
#align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot
theorem dense_iff_closure_eq : Dense s ↔ closure s = univ :=
eq_univ_iff_forall.symm
#align dense_iff_closure_eq dense_iff_closure_eq
alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq
#align dense.closure_eq Dense.closure_eq
theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by
rw [dense_iff_closure_eq, closure_compl, compl_univ_iff]
#align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl
theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ :=
interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl]
#align dense.interior_compl Dense.interior_compl
@[simp]
theorem dense_closure : Dense (closure s) ↔ Dense s := by
rw [Dense, Dense, closure_closure]
#align dense_closure dense_closure
protected alias ⟨_, Dense.closure⟩ := dense_closure
alias ⟨Dense.of_closure, _⟩ := dense_closure
#align dense.of_closure Dense.of_closure
#align dense.closure Dense.closure
@[simp]
theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial
#align dense_univ dense_univ
theorem dense_iff_inter_open :
Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by
constructor <;> intro h
· rintro U U_op ⟨x, x_in⟩
exact mem_closure_iff.1 (h _) U U_op x_in
· intro x
rw [mem_closure_iff]
intro U U_op x_in
exact h U U_op ⟨_, x_in⟩
#align dense_iff_inter_open dense_iff_inter_open
alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open
#align dense.inter_open_nonempty Dense.inter_open_nonempty
theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U)
(hne : U.Nonempty) : ∃ x ∈ s, x ∈ U :=
let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne
⟨x, hx.2, hx.1⟩
#align dense.exists_mem_open Dense.exists_mem_open
theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X :=
⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ =>
let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩
⟨y, hy.2⟩⟩
#align dense.nonempty_iff Dense.nonempty_iff
theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty :=
hs.nonempty_iff.2 h
#align dense.nonempty Dense.nonempty
@[mono]
theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x =>
closure_mono h (hd x)
#align dense.mono Dense.mono
theorem dense_compl_singleton_iff_not_open :
Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by
constructor
· intro hd ho
exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _)
· refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_
obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩
exact ho hU
#align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open
@[simp]
theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s :=
rfl
#align closure_diff_interior closure_diff_interior
lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by
rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq,
← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter]
@[simp]
theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by
rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure]
#align closure_diff_frontier closure_diff_frontier
@[simp]
theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by
rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure,
inter_eq_self_of_subset_right interior_subset, empty_union]
#align self_diff_frontier self_diff_frontier
theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by
rw [closure_compl, frontier, diff_eq]
#align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure
theorem frontier_subset_closure : frontier s ⊆ closure s :=
diff_subset
#align frontier_subset_closure frontier_subset_closure
theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s :=
frontier_subset_closure.trans hs.closure_eq.subset
#align is_closed.frontier_subset IsClosed.frontier_subset
theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s :=
diff_subset_diff closure_closure.subset <| interior_mono subset_closure
#align frontier_closure_subset frontier_closure_subset
theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s :=
diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset
#align frontier_interior_subset frontier_interior_subset
@[simp]
theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by
simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm]
#align frontier_compl frontier_compl
@[simp]
theorem frontier_univ : frontier (univ : Set X) = ∅ := by simp [frontier]
#align frontier_univ frontier_univ
@[simp]
theorem frontier_empty : frontier (∅ : Set X) = ∅ := by simp [frontier]
#align frontier_empty frontier_empty
theorem frontier_inter_subset (s t : Set X) :
frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t := by
simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union]
refine (inter_subset_inter_left _ (closure_inter_subset_inter_closure s t)).trans_eq ?_
simp only [inter_union_distrib_left, union_inter_distrib_right, inter_assoc,
inter_comm (closure t)]
#align frontier_inter_subset frontier_inter_subset
theorem frontier_union_subset (s t : Set X) :
frontier (s ∪ t) ⊆ frontier s ∩ closure tᶜ ∪ closure sᶜ ∩ frontier t := by
simpa only [frontier_compl, ← compl_union] using frontier_inter_subset sᶜ tᶜ
#align frontier_union_subset frontier_union_subset
theorem IsClosed.frontier_eq (hs : IsClosed s) : frontier s = s \ interior s := by
rw [frontier, hs.closure_eq]
#align is_closed.frontier_eq IsClosed.frontier_eq
theorem IsOpen.frontier_eq (hs : IsOpen s) : frontier s = closure s \ s := by
rw [frontier, hs.interior_eq]
#align is_open.frontier_eq IsOpen.frontier_eq
theorem IsOpen.inter_frontier_eq (hs : IsOpen s) : s ∩ frontier s = ∅ := by
rw [hs.frontier_eq, inter_diff_self]
#align is_open.inter_frontier_eq IsOpen.inter_frontier_eq
theorem isClosed_frontier : IsClosed (frontier s) := by
rw [frontier_eq_closure_inter_closure]; exact IsClosed.inter isClosed_closure isClosed_closure
#align is_closed_frontier isClosed_frontier
theorem interior_frontier (h : IsClosed s) : interior (frontier s) = ∅ := by
have A : frontier s = s \ interior s := h.frontier_eq
have B : interior (frontier s) ⊆ interior s := by rw [A]; exact interior_mono diff_subset
have C : interior (frontier s) ⊆ frontier s := interior_subset
have : interior (frontier s) ⊆ interior s ∩ (s \ interior s) :=
subset_inter B (by simpa [A] using C)
rwa [inter_diff_self, subset_empty_iff] at this
#align interior_frontier interior_frontier
theorem closure_eq_interior_union_frontier (s : Set X) : closure s = interior s ∪ frontier s :=
(union_diff_cancel interior_subset_closure).symm
#align closure_eq_interior_union_frontier closure_eq_interior_union_frontier
theorem closure_eq_self_union_frontier (s : Set X) : closure s = s ∪ frontier s :=
(union_diff_cancel' interior_subset subset_closure).symm
#align closure_eq_self_union_frontier closure_eq_self_union_frontier
theorem Disjoint.frontier_left (ht : IsOpen t) (hd : Disjoint s t) : Disjoint (frontier s) t :=
subset_compl_iff_disjoint_right.1 <|
frontier_subset_closure.trans <| closure_minimal (disjoint_left.1 hd) <| isClosed_compl_iff.2 ht
#align disjoint.frontier_left Disjoint.frontier_left
theorem Disjoint.frontier_right (hs : IsOpen s) (hd : Disjoint s t) : Disjoint s (frontier t) :=
(hd.symm.frontier_left hs).symm
#align disjoint.frontier_right Disjoint.frontier_right
| Mathlib/Topology/Basic.lean | 768 | 770 | theorem frontier_eq_inter_compl_interior :
frontier s = (interior s)ᶜ ∩ (interior sᶜ)ᶜ := by |
rw [← frontier_compl, ← closure_compl, ← diff_eq, closure_diff_interior]
|
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
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
#align category_theory.limits.types.pi_lift_π_apply' CategoryTheory.Limits.Types.pi_lift_π_apply'
@[simp 1001]
theorem pi_map_π_apply {β : Type v} [Small.{u} β] {f g : β → Type u}
(α : ∀ j, f j ⟶ g j) (b : β) (x) :
(Pi.π g b : ∏ᶜ g → g b) (Pi.map α x) = α b ((Pi.π f b : ∏ᶜ f → f b) x) :=
Limit.map_π_apply.{v, u} _ _ _
#align category_theory.limits.types.pi_map_π_apply CategoryTheory.Limits.Types.pi_map_π_apply
theorem pi_map_π_apply' {β : Type v} {f g : β → Type v} (α : ∀ j, f j ⟶ g j) (b : β) (x) :
(Pi.π g b : ∏ᶜ g → g b) (Pi.map α x) = α b ((Pi.π f b : ∏ᶜ f → f b) x) := by
simp
#align category_theory.limits.types.pi_map_π_apply' CategoryTheory.Limits.Types.pi_map_π_apply'
def terminalLimitCone : Limits.LimitCone (Functor.empty (Type u)) where
-- Porting note: tidy was able to fill the structure automatically
cone :=
{ pt := PUnit
π := (Functor.uniqueFromEmpty _).hom }
isLimit :=
{ lift := fun _ _ => PUnit.unit
fac := fun _ => by rintro ⟨⟨⟩⟩
uniq := fun _ _ _ => by
funext
apply Subsingleton.elim }
#align category_theory.limits.types.terminal_limit_cone CategoryTheory.Limits.Types.terminalLimitCone
noncomputable def terminalIso : ⊤_ Type u ≅ PUnit :=
limit.isoLimitCone terminalLimitCone.{u, 0}
#align category_theory.limits.types.terminal_iso CategoryTheory.Limits.Types.terminalIso
noncomputable def isTerminalPunit : IsTerminal (PUnit : Type u) :=
terminalIsTerminal.ofIso terminalIso
#align category_theory.limits.types.is_terminal_punit CategoryTheory.Limits.Types.isTerminalPunit
-- Porting note: the following three instances have been added to ease
-- the automation in a definition in `AlgebraicTopology.SimplicialSet`
noncomputable instance : Inhabited (⊤_ (Type u)) :=
⟨@terminal.from (Type u) _ _ (ULift (Fin 1)) (ULift.up 0)⟩
instance : Subsingleton (⊤_ (Type u)) := ⟨fun a b =>
congr_fun (@Subsingleton.elim (_ ⟶ ⊤_ (Type u)) _
(fun _ => a) (fun _ => b)) (ULift.up (0 : Fin 1))⟩
noncomputable instance : Unique (⊤_ (Type u)) := Unique.mk' _
noncomputable def isTerminalEquivUnique (X : Type u) : IsTerminal X ≃ Unique X :=
equivOfSubsingletonOfSubsingleton
(fun h => ((Iso.toEquiv (terminalIsoIsTerminal h).symm).unique))
(fun _ => IsTerminal.ofIso terminalIsTerminal (Equiv.toIso (Equiv.equivOfUnique _ _)))
noncomputable def isTerminalEquivIsoPUnit (X : Type u) : IsTerminal X ≃ (X ≅ PUnit) := by
calc
IsTerminal X ≃ Unique X := isTerminalEquivUnique _
_ ≃ (X ≃ PUnit.{u + 1}) := uniqueEquivEquivUnique _ _
_ ≃ (X ≅ PUnit) := equivEquivIso
def initialColimitCocone : Limits.ColimitCocone (Functor.empty (Type u)) where
-- Porting note: tidy was able to fill the structure automatically
cocone :=
{ pt := PEmpty
ι := (Functor.uniqueFromEmpty _).inv }
isColimit :=
{ desc := fun _ => by rintro ⟨⟩
fac := fun _ => by rintro ⟨⟨⟩⟩
uniq := fun _ _ _ => by funext x; cases x }
#align category_theory.limits.types.initial_colimit_cocone CategoryTheory.Limits.Types.initialColimitCocone
noncomputable def initialIso : ⊥_ Type u ≅ PEmpty :=
colimit.isoColimitCocone initialColimitCocone.{u, 0}
#align category_theory.limits.types.initial_iso CategoryTheory.Limits.Types.initialIso
noncomputable def isInitialPunit : IsInitial (PEmpty : Type u) :=
initialIsInitial.ofIso initialIso
#align category_theory.limits.types.is_initial_punit CategoryTheory.Limits.Types.isInitialPunit
lemma initial_iff_empty (X : Type u) : Nonempty (IsInitial X) ↔ IsEmpty X := by
constructor
· intro ⟨h⟩
exact Function.isEmpty (IsInitial.to h PEmpty)
· intro h
exact ⟨IsInitial.ofIso Types.isInitialPunit <| Equiv.toIso <| Equiv.equivOfIsEmpty PEmpty X⟩
open CategoryTheory.Limits.WalkingPair
-- We manually generate the other projection lemmas since the simp-normal form for the legs is
-- otherwise not created correctly.
@[simps! pt]
def binaryProductCone (X Y : Type u) : BinaryFan X Y :=
BinaryFan.mk _root_.Prod.fst _root_.Prod.snd
#align category_theory.limits.types.binary_product_cone CategoryTheory.Limits.Types.binaryProductCone
@[simp]
theorem binaryProductCone_fst (X Y : Type u) : (binaryProductCone X Y).fst = _root_.Prod.fst :=
rfl
#align category_theory.limits.types.binary_product_cone_fst CategoryTheory.Limits.Types.binaryProductCone_fst
@[simp]
theorem binaryProductCone_snd (X Y : Type u) : (binaryProductCone X Y).snd = _root_.Prod.snd :=
rfl
#align category_theory.limits.types.binary_product_cone_snd CategoryTheory.Limits.Types.binaryProductCone_snd
@[simps]
def binaryProductLimit (X Y : Type u) : IsLimit (binaryProductCone X Y) where
lift (s : BinaryFan X Y) x := (s.fst x, s.snd x)
fac _ j := Discrete.recOn j fun j => WalkingPair.casesOn j rfl rfl
uniq _ _ w := funext fun x => Prod.ext (congr_fun (w ⟨left⟩) x) (congr_fun (w ⟨right⟩) x)
#align category_theory.limits.types.binary_product_limit CategoryTheory.Limits.Types.binaryProductLimit
@[simps]
def binaryProductLimitCone (X Y : Type u) : Limits.LimitCone (pair X Y) :=
⟨_, binaryProductLimit X Y⟩
#align category_theory.limits.types.binary_product_limit_cone CategoryTheory.Limits.Types.binaryProductLimitCone
noncomputable def binaryProductIso (X Y : Type u) : Limits.prod X Y ≅ X × Y :=
limit.isoLimitCone (binaryProductLimitCone X Y)
#align category_theory.limits.types.binary_product_iso CategoryTheory.Limits.Types.binaryProductIso
@[elementwise (attr := simp)]
theorem binaryProductIso_hom_comp_fst (X Y : Type u) :
(binaryProductIso X Y).hom ≫ _root_.Prod.fst = Limits.prod.fst :=
limit.isoLimitCone_hom_π (binaryProductLimitCone X Y) ⟨WalkingPair.left⟩
#align category_theory.limits.types.binary_product_iso_hom_comp_fst CategoryTheory.Limits.Types.binaryProductIso_hom_comp_fst
@[elementwise (attr := simp)]
theorem binaryProductIso_hom_comp_snd (X Y : Type u) :
(binaryProductIso X Y).hom ≫ _root_.Prod.snd = Limits.prod.snd :=
limit.isoLimitCone_hom_π (binaryProductLimitCone X Y) ⟨WalkingPair.right⟩
#align category_theory.limits.types.binary_product_iso_hom_comp_snd CategoryTheory.Limits.Types.binaryProductIso_hom_comp_snd
@[elementwise (attr := simp)]
theorem binaryProductIso_inv_comp_fst (X Y : Type u) :
(binaryProductIso X Y).inv ≫ Limits.prod.fst = _root_.Prod.fst :=
limit.isoLimitCone_inv_π (binaryProductLimitCone X Y) ⟨WalkingPair.left⟩
#align category_theory.limits.types.binary_product_iso_inv_comp_fst CategoryTheory.Limits.Types.binaryProductIso_inv_comp_fst
@[elementwise (attr := simp)]
theorem binaryProductIso_inv_comp_snd (X Y : Type u) :
(binaryProductIso X Y).inv ≫ Limits.prod.snd = _root_.Prod.snd :=
limit.isoLimitCone_inv_π (binaryProductLimitCone X Y) ⟨WalkingPair.right⟩
#align category_theory.limits.types.binary_product_iso_inv_comp_snd CategoryTheory.Limits.Types.binaryProductIso_inv_comp_snd
-- Porting note: it was originally @[simps (config := { typeMd := reducible })]
-- We add the option `type_md` to tell `@[simps]` to not treat homomorphisms `X ⟶ Y` in `Type*` as
-- a function type
@[simps]
def binaryProductFunctor : Type u ⥤ Type u ⥤ Type u where
obj X :=
{ obj := fun Y => X × Y
map := fun { Y₁ Y₂} f => (binaryProductLimit X Y₂).lift
(BinaryFan.mk _root_.Prod.fst (_root_.Prod.snd ≫ f)) }
map {X₁ X₂} f :=
{ app := fun Y =>
(binaryProductLimit X₂ Y).lift (BinaryFan.mk (_root_.Prod.fst ≫ f) _root_.Prod.snd) }
#align category_theory.limits.types.binary_product_functor CategoryTheory.Limits.Types.binaryProductFunctor
noncomputable def binaryProductIsoProd : binaryProductFunctor ≅ (prod.functor : Type u ⥤ _) := by
refine NatIso.ofComponents (fun X => ?_) (fun _ => ?_)
· refine NatIso.ofComponents (fun Y => ?_) (fun _ => ?_)
· exact ((limit.isLimit _).conePointUniqueUpToIso (binaryProductLimit X Y)).symm
· apply Limits.prod.hom_ext <;> simp <;> rfl
· ext : 2
apply Limits.prod.hom_ext <;> simp <;> rfl
#align category_theory.limits.types.binary_product_iso_prod CategoryTheory.Limits.Types.binaryProductIsoProd
@[simps!]
def binaryCoproductCocone (X Y : Type u) : Cocone (pair X Y) :=
BinaryCofan.mk Sum.inl Sum.inr
#align category_theory.limits.types.binary_coproduct_cocone CategoryTheory.Limits.Types.binaryCoproductCocone
@[simps]
def binaryCoproductColimit (X Y : Type u) : IsColimit (binaryCoproductCocone X Y) where
desc := fun s : BinaryCofan X Y => Sum.elim s.inl s.inr
fac _ j := Discrete.recOn j fun j => WalkingPair.casesOn j rfl rfl
uniq _ _ w := funext fun x => Sum.casesOn x (congr_fun (w ⟨left⟩)) (congr_fun (w ⟨right⟩))
#align category_theory.limits.types.binary_coproduct_colimit CategoryTheory.Limits.Types.binaryCoproductColimit
def binaryCoproductColimitCocone (X Y : Type u) : Limits.ColimitCocone (pair X Y) :=
⟨_, binaryCoproductColimit X Y⟩
#align category_theory.limits.types.binary_coproduct_colimit_cocone CategoryTheory.Limits.Types.binaryCoproductColimitCocone
noncomputable def binaryCoproductIso (X Y : Type u) : Limits.coprod X Y ≅ X ⊕ Y :=
colimit.isoColimitCocone (binaryCoproductColimitCocone X Y)
#align category_theory.limits.types.binary_coproduct_iso CategoryTheory.Limits.Types.binaryCoproductIso
--open CategoryTheory.Type
@[elementwise (attr := simp)]
theorem binaryCoproductIso_inl_comp_hom (X Y : Type u) :
Limits.coprod.inl ≫ (binaryCoproductIso X Y).hom = Sum.inl :=
colimit.isoColimitCocone_ι_hom (binaryCoproductColimitCocone X Y) ⟨WalkingPair.left⟩
#align category_theory.limits.types.binary_coproduct_iso_inl_comp_hom CategoryTheory.Limits.Types.binaryCoproductIso_inl_comp_hom
@[elementwise (attr := simp)]
theorem binaryCoproductIso_inr_comp_hom (X Y : Type u) :
Limits.coprod.inr ≫ (binaryCoproductIso X Y).hom = Sum.inr :=
colimit.isoColimitCocone_ι_hom (binaryCoproductColimitCocone X Y) ⟨WalkingPair.right⟩
#align category_theory.limits.types.binary_coproduct_iso_inr_comp_hom CategoryTheory.Limits.Types.binaryCoproductIso_inr_comp_hom
@[elementwise (attr := simp)]
theorem binaryCoproductIso_inl_comp_inv (X Y : Type u) :
↾(Sum.inl : X ⟶ X ⊕ Y) ≫ (binaryCoproductIso X Y).inv = Limits.coprod.inl :=
colimit.isoColimitCocone_ι_inv (binaryCoproductColimitCocone X Y) ⟨WalkingPair.left⟩
#align category_theory.limits.types.binary_coproduct_iso_inl_comp_inv CategoryTheory.Limits.Types.binaryCoproductIso_inl_comp_inv
@[elementwise (attr := simp)]
theorem binaryCoproductIso_inr_comp_inv (X Y : Type u) :
↾(Sum.inr : Y ⟶ X ⊕ Y) ≫ (binaryCoproductIso X Y).inv = Limits.coprod.inr :=
colimit.isoColimitCocone_ι_inv (binaryCoproductColimitCocone X Y) ⟨WalkingPair.right⟩
#align category_theory.limits.types.binary_coproduct_iso_inr_comp_inv CategoryTheory.Limits.Types.binaryCoproductIso_inr_comp_inv
open Function (Injective)
theorem binaryCofan_isColimit_iff {X Y : Type u} (c : BinaryCofan X Y) :
Nonempty (IsColimit c) ↔
Injective c.inl ∧ Injective c.inr ∧ IsCompl (Set.range c.inl) (Set.range c.inr) := by
classical
constructor
· rintro ⟨h⟩
rw [← show _ = c.inl from
h.comp_coconePointUniqueUpToIso_inv (binaryCoproductColimit X Y) ⟨WalkingPair.left⟩,
← show _ = c.inr from
h.comp_coconePointUniqueUpToIso_inv (binaryCoproductColimit X Y) ⟨WalkingPair.right⟩]
dsimp [binaryCoproductCocone]
refine
⟨(h.coconePointUniqueUpToIso (binaryCoproductColimit X Y)).symm.toEquiv.injective.comp
Sum.inl_injective,
(h.coconePointUniqueUpToIso (binaryCoproductColimit X Y)).symm.toEquiv.injective.comp
Sum.inr_injective, ?_⟩
erw [Set.range_comp, ← eq_compl_iff_isCompl, Set.range_comp _ Sum.inr, ←
Set.image_compl_eq
(h.coconePointUniqueUpToIso (binaryCoproductColimit X Y)).symm.toEquiv.bijective]
simp
· rintro ⟨h₁, h₂, h₃⟩
have : ∀ x, x ∈ Set.range c.inl ∨ x ∈ Set.range c.inr := by
rw [eq_compl_iff_isCompl.mpr h₃.symm]
exact fun _ => or_not
refine ⟨BinaryCofan.IsColimit.mk _ ?_ ?_ ?_ ?_⟩
· intro T f g x
exact
if h : x ∈ Set.range c.inl then f ((Equiv.ofInjective _ h₁).symm ⟨x, h⟩)
else g ((Equiv.ofInjective _ h₂).symm ⟨x, (this x).resolve_left h⟩)
· intro T f g
funext x
dsimp
simp [h₁.eq_iff]
· intro T f g
funext x
dsimp
simp only [Set.mem_range, Equiv.ofInjective_symm_apply,
dite_eq_right_iff, forall_exists_index]
intro y e
have : c.inr x ∈ Set.range c.inl ⊓ Set.range c.inr := ⟨⟨_, e⟩, ⟨_, rfl⟩⟩
rw [disjoint_iff.mp h₃.1] at this
exact this.elim
· rintro T _ _ m rfl rfl
funext x
dsimp
split_ifs <;> exact congr_arg _ (Equiv.apply_ofInjective_symm _ ⟨_, _⟩).symm
#align category_theory.limits.types.binary_cofan_is_colimit_iff CategoryTheory.Limits.Types.binaryCofan_isColimit_iff
noncomputable def isCoprodOfMono {X Y : Type u} (f : X ⟶ Y) [Mono f] :
IsColimit (BinaryCofan.mk f (Subtype.val : ↑(Set.range f)ᶜ → Y)) := by
apply Nonempty.some
rw [binaryCofan_isColimit_iff]
refine ⟨(mono_iff_injective f).mp inferInstance, Subtype.val_injective, ?_⟩
symm
rw [← eq_compl_iff_isCompl]
exact Subtype.range_val
#align category_theory.limits.types.is_coprod_of_mono CategoryTheory.Limits.Types.isCoprodOfMono
def productLimitCone {J : Type v} (F : J → TypeMax.{v, u}) :
Limits.LimitCone (Discrete.functor F) where
cone :=
{ pt := ∀ j, F j
π := Discrete.natTrans (fun ⟨j⟩ f => f j) }
isLimit :=
{ lift := fun s x j => s.π.app ⟨j⟩ x
uniq := fun s m w => funext fun x => funext fun j => (congr_fun (w ⟨j⟩) x : _) }
#align category_theory.limits.types.product_limit_cone CategoryTheory.Limits.Types.productLimitCone
noncomputable def productIso {J : Type v} (F : J → TypeMax.{v, u}) : ∏ᶜ F ≅ ∀ j, F j :=
limit.isoLimitCone (productLimitCone.{v, u} F)
#align category_theory.limits.types.product_iso CategoryTheory.Limits.Types.productIso
-- Porting note: was `@[elementwise (attr := simp)]`, but it produces a trivial lemma
-- It should produce the lemma below.
@[simp]
theorem productIso_hom_comp_eval {J : Type v} (F : J → TypeMax.{v, u}) (j : J) :
((productIso.{v, u} F).hom ≫ fun f => f j) = Pi.π F j :=
rfl
#align category_theory.limits.types.product_iso_hom_comp_eval CategoryTheory.Limits.Types.productIso_hom_comp_eval
@[simp]
theorem productIso_hom_comp_eval_apply {J : Type v} (F : J → TypeMax.{v, u}) (j : J) (x) :
((productIso.{v, u} F).hom x) j = Pi.π F j x :=
rfl
#align category_theory.limits.types.product_iso_hom_comp_eval_apply CategoryTheory.Limits.Types.productIso_hom_comp_eval_apply
@[elementwise (attr := simp)]
theorem productIso_inv_comp_π {J : Type v} (F : J → TypeMax.{v, u}) (j : J) :
(productIso.{v, u} F).inv ≫ Pi.π F j = fun f => f j :=
limit.isoLimitCone_inv_π (productLimitCone.{v, u} F) ⟨j⟩
#align category_theory.limits.types.product_iso_inv_comp_π CategoryTheory.Limits.Types.productIso_inv_comp_π
def coproductColimitCocone {J : Type v} (F : J → TypeMax.{v, u}) :
Limits.ColimitCocone (Discrete.functor F) where
cocone :=
{ pt := Σj, F j
ι := Discrete.natTrans (fun ⟨j⟩ x => ⟨j, x⟩)}
isColimit :=
{ desc := fun s x => s.ι.app ⟨x.1⟩ x.2
uniq := fun s m w => by
funext ⟨j, x⟩
exact congr_fun (w ⟨j⟩) x }
#align category_theory.limits.types.coproduct_colimit_cocone CategoryTheory.Limits.Types.coproductColimitCocone
noncomputable def coproductIso {J : Type v} (F : J → TypeMax.{v, u}) : ∐ F ≅ Σj, F j :=
colimit.isoColimitCocone (coproductColimitCocone F)
#align category_theory.limits.types.coproduct_iso CategoryTheory.Limits.Types.coproductIso
@[elementwise (attr := simp)]
theorem coproductIso_ι_comp_hom {J : Type v} (F : J → TypeMax.{v, u}) (j : J) :
Sigma.ι F j ≫ (coproductIso F).hom = fun x : F j => (⟨j, x⟩ : Σj, F j) :=
colimit.isoColimitCocone_ι_hom (coproductColimitCocone F) ⟨j⟩
#align category_theory.limits.types.coproduct_iso_ι_comp_hom CategoryTheory.Limits.Types.coproductIso_ι_comp_hom
-- Porting note: was @[elementwise (attr := simp)], but it produces a trivial lemma
-- removed simp attribute because it seems it never applies
theorem coproductIso_mk_comp_inv {J : Type v} (F : J → TypeMax.{v, u}) (j : J) :
(↾fun x : F j => (⟨j, x⟩ : Σj, F j)) ≫ (coproductIso F).inv = Sigma.ι F j :=
rfl
#align category_theory.limits.types.coproduct_iso_mk_comp_inv CategoryTheory.Limits.Types.coproductIso_mk_comp_inv
section Cofork
variable {X Y Z : Type u} (f g : X ⟶ Y)
inductive CoequalizerRel : Y → Y → Prop
| Rel (x : X) : CoequalizerRel (f x) (g x)
#align category_theory.limits.types.coequalizer_rel CategoryTheory.Limits.Types.CoequalizerRel
def coequalizerColimit : Limits.ColimitCocone (parallelPair f g) where
cocone :=
Cofork.ofπ (Quot.mk (CoequalizerRel f g)) (funext fun x => Quot.sound (CoequalizerRel.Rel x))
isColimit :=
Cofork.IsColimit.mk _
(fun s => Quot.lift s.π
(fun a b (h : CoequalizerRel f g a b) => by
cases h
apply congr_fun s.condition))
(fun s => rfl)
(fun s m hm => funext (fun x => Quot.inductionOn x (congr_fun hm)))
#align category_theory.limits.types.coequalizer_colimit CategoryTheory.Limits.Types.coequalizerColimit
| Mathlib/CategoryTheory/Limits/Shapes/Types.lean | 582 | 606 | theorem coequalizer_preimage_image_eq_of_preimage_eq (π : Y ⟶ Z) (e : f ≫ π = g ≫ π)
(h : IsColimit (Cofork.ofπ π e)) (U : Set Y) (H : f ⁻¹' U = g ⁻¹' U) : π ⁻¹' (π '' U) = U := by |
have lem : ∀ x y, CoequalizerRel f g x y → (x ∈ U ↔ y ∈ U) := by
rintro _ _ ⟨x⟩
change x ∈ f ⁻¹' U ↔ x ∈ g ⁻¹' U
rw [H]
-- Porting note: tidy was able to fill the structure automatically
have eqv : _root_.Equivalence fun x y => x ∈ U ↔ y ∈ U :=
{ refl := by tauto
symm := by tauto
trans := by tauto }
ext
constructor
· rw [←
show _ = π from
h.comp_coconePointUniqueUpToIso_inv (coequalizerColimit f g).2
WalkingParallelPair.one]
rintro ⟨y, hy, e'⟩
dsimp at e'
replace e' :=
(mono_iff_injective
(h.coconePointUniqueUpToIso (coequalizerColimit f g).isColimit).inv).mp
inferInstance e'
exact (eqv.eqvGen_iff.mp (EqvGen.mono lem (Quot.exact _ e'))).mp hy
· exact fun hx => ⟨_, hx, rfl⟩
|
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Algebra.MonoidAlgebra.Basic
import Mathlib.Data.Finset.Sort
#align_import data.polynomial.basic from "leanprover-community/mathlib"@"949dc57e616a621462062668c9f39e4e17b64b69"
set_option linter.uppercaseLean3 false
noncomputable section
structure Polynomial (R : Type*) [Semiring R] where ofFinsupp ::
toFinsupp : AddMonoidAlgebra R ℕ
#align polynomial Polynomial
#align polynomial.of_finsupp Polynomial.ofFinsupp
#align polynomial.to_finsupp Polynomial.toFinsupp
@[inherit_doc] scoped[Polynomial] notation:9000 R "[X]" => Polynomial R
open AddMonoidAlgebra
open Finsupp hiding single
open Function hiding Commute
open Polynomial
namespace Polynomial
universe u
variable {R : Type u} {a b : R} {m n : ℕ}
section Semiring
variable [Semiring R] {p q : R[X]}
theorem forall_iff_forall_finsupp (P : R[X] → Prop) :
(∀ p, P p) ↔ ∀ q : R[ℕ], P ⟨q⟩ :=
⟨fun h q => h ⟨q⟩, fun h ⟨p⟩ => h p⟩
#align polynomial.forall_iff_forall_finsupp Polynomial.forall_iff_forall_finsupp
theorem exists_iff_exists_finsupp (P : R[X] → Prop) :
(∃ p, P p) ↔ ∃ q : R[ℕ], P ⟨q⟩ :=
⟨fun ⟨⟨p⟩, hp⟩ => ⟨p, hp⟩, fun ⟨q, hq⟩ => ⟨⟨q⟩, hq⟩⟩
#align polynomial.exists_iff_exists_finsupp Polynomial.exists_iff_exists_finsupp
@[simp]
theorem eta (f : R[X]) : Polynomial.ofFinsupp f.toFinsupp = f := by cases f; rfl
#align polynomial.eta Polynomial.eta
section AddMonoidAlgebra
private irreducible_def add : R[X] → R[X] → R[X]
| ⟨a⟩, ⟨b⟩ => ⟨a + b⟩
private irreducible_def neg {R : Type u} [Ring R] : R[X] → R[X]
| ⟨a⟩ => ⟨-a⟩
private irreducible_def mul : R[X] → R[X] → R[X]
| ⟨a⟩, ⟨b⟩ => ⟨a * b⟩
instance zero : Zero R[X] :=
⟨⟨0⟩⟩
#align polynomial.has_zero Polynomial.zero
instance one : One R[X] :=
⟨⟨1⟩⟩
#align polynomial.one Polynomial.one
instance add' : Add R[X] :=
⟨add⟩
#align polynomial.has_add Polynomial.add'
instance neg' {R : Type u} [Ring R] : Neg R[X] :=
⟨neg⟩
#align polynomial.has_neg Polynomial.neg'
instance sub {R : Type u} [Ring R] : Sub R[X] :=
⟨fun a b => a + -b⟩
#align polynomial.has_sub Polynomial.sub
instance mul' : Mul R[X] :=
⟨mul⟩
#align polynomial.has_mul Polynomial.mul'
-- If the private definitions are accidentally exposed, simplify them away.
@[simp] theorem add_eq_add : add p q = p + q := rfl
@[simp] theorem mul_eq_mul : mul p q = p * q := rfl
instance smulZeroClass {S : Type*} [SMulZeroClass S R] : SMulZeroClass S R[X] where
smul r p := ⟨r • p.toFinsupp⟩
smul_zero a := congr_arg ofFinsupp (smul_zero a)
#align polynomial.smul_zero_class Polynomial.smulZeroClass
-- to avoid a bug in the `ring` tactic
instance (priority := 1) pow : Pow R[X] ℕ where pow p n := npowRec n p
#align polynomial.has_pow Polynomial.pow
@[simp]
theorem ofFinsupp_zero : (⟨0⟩ : R[X]) = 0 :=
rfl
#align polynomial.of_finsupp_zero Polynomial.ofFinsupp_zero
@[simp]
theorem ofFinsupp_one : (⟨1⟩ : R[X]) = 1 :=
rfl
#align polynomial.of_finsupp_one Polynomial.ofFinsupp_one
@[simp]
theorem ofFinsupp_add {a b} : (⟨a + b⟩ : R[X]) = ⟨a⟩ + ⟨b⟩ :=
show _ = add _ _ by rw [add_def]
#align polynomial.of_finsupp_add Polynomial.ofFinsupp_add
@[simp]
theorem ofFinsupp_neg {R : Type u} [Ring R] {a} : (⟨-a⟩ : R[X]) = -⟨a⟩ :=
show _ = neg _ by rw [neg_def]
#align polynomial.of_finsupp_neg Polynomial.ofFinsupp_neg
@[simp]
theorem ofFinsupp_sub {R : Type u} [Ring R] {a b} : (⟨a - b⟩ : R[X]) = ⟨a⟩ - ⟨b⟩ := by
rw [sub_eq_add_neg, ofFinsupp_add, ofFinsupp_neg]
rfl
#align polynomial.of_finsupp_sub Polynomial.ofFinsupp_sub
@[simp]
theorem ofFinsupp_mul (a b) : (⟨a * b⟩ : R[X]) = ⟨a⟩ * ⟨b⟩ :=
show _ = mul _ _ by rw [mul_def]
#align polynomial.of_finsupp_mul Polynomial.ofFinsupp_mul
@[simp]
theorem ofFinsupp_smul {S : Type*} [SMulZeroClass S R] (a : S) (b) :
(⟨a • b⟩ : R[X]) = (a • ⟨b⟩ : R[X]) :=
rfl
#align polynomial.of_finsupp_smul Polynomial.ofFinsupp_smul
@[simp]
theorem ofFinsupp_pow (a) (n : ℕ) : (⟨a ^ n⟩ : R[X]) = ⟨a⟩ ^ n := by
change _ = npowRec n _
induction n with
| zero => simp [npowRec]
| succ n n_ih => simp [npowRec, n_ih, pow_succ]
#align polynomial.of_finsupp_pow Polynomial.ofFinsupp_pow
@[simp]
theorem toFinsupp_zero : (0 : R[X]).toFinsupp = 0 :=
rfl
#align polynomial.to_finsupp_zero Polynomial.toFinsupp_zero
@[simp]
theorem toFinsupp_one : (1 : R[X]).toFinsupp = 1 :=
rfl
#align polynomial.to_finsupp_one Polynomial.toFinsupp_one
@[simp]
theorem toFinsupp_add (a b : R[X]) : (a + b).toFinsupp = a.toFinsupp + b.toFinsupp := by
cases a
cases b
rw [← ofFinsupp_add]
#align polynomial.to_finsupp_add Polynomial.toFinsupp_add
@[simp]
theorem toFinsupp_neg {R : Type u} [Ring R] (a : R[X]) : (-a).toFinsupp = -a.toFinsupp := by
cases a
rw [← ofFinsupp_neg]
#align polynomial.to_finsupp_neg Polynomial.toFinsupp_neg
@[simp]
theorem toFinsupp_sub {R : Type u} [Ring R] (a b : R[X]) :
(a - b).toFinsupp = a.toFinsupp - b.toFinsupp := by
rw [sub_eq_add_neg, ← toFinsupp_neg, ← toFinsupp_add]
rfl
#align polynomial.to_finsupp_sub Polynomial.toFinsupp_sub
@[simp]
theorem toFinsupp_mul (a b : R[X]) : (a * b).toFinsupp = a.toFinsupp * b.toFinsupp := by
cases a
cases b
rw [← ofFinsupp_mul]
#align polynomial.to_finsupp_mul Polynomial.toFinsupp_mul
@[simp]
theorem toFinsupp_smul {S : Type*} [SMulZeroClass S R] (a : S) (b : R[X]) :
(a • b).toFinsupp = a • b.toFinsupp :=
rfl
#align polynomial.to_finsupp_smul Polynomial.toFinsupp_smul
@[simp]
theorem toFinsupp_pow (a : R[X]) (n : ℕ) : (a ^ n).toFinsupp = a.toFinsupp ^ n := by
cases a
rw [← ofFinsupp_pow]
#align polynomial.to_finsupp_pow Polynomial.toFinsupp_pow
theorem _root_.IsSMulRegular.polynomial {S : Type*} [Monoid S] [DistribMulAction S R] {a : S}
(ha : IsSMulRegular R a) : IsSMulRegular R[X] a
| ⟨_x⟩, ⟨_y⟩, h => congr_arg _ <| ha.finsupp (Polynomial.ofFinsupp.inj h)
#align is_smul_regular.polynomial IsSMulRegular.polynomial
theorem toFinsupp_injective : Function.Injective (toFinsupp : R[X] → AddMonoidAlgebra _ _) :=
fun ⟨_x⟩ ⟨_y⟩ => congr_arg _
#align polynomial.to_finsupp_injective Polynomial.toFinsupp_injective
@[simp]
theorem toFinsupp_inj {a b : R[X]} : a.toFinsupp = b.toFinsupp ↔ a = b :=
toFinsupp_injective.eq_iff
#align polynomial.to_finsupp_inj Polynomial.toFinsupp_inj
@[simp]
| Mathlib/Algebra/Polynomial/Basic.lean | 266 | 267 | theorem toFinsupp_eq_zero {a : R[X]} : a.toFinsupp = 0 ↔ a = 0 := by |
rw [← toFinsupp_zero, toFinsupp_inj]
|
import Mathlib.Logic.Pairwise
import Mathlib.Order.CompleteBooleanAlgebra
import Mathlib.Order.Directed
import Mathlib.Order.GaloisConnection
#align_import data.set.lattice from "leanprover-community/mathlib"@"b86832321b586c6ac23ef8cdef6a7a27e42b13bd"
open Function Set
universe u
variable {α β γ : Type*} {ι ι' ι₂ : Sort*} {κ κ₁ κ₂ : ι → Sort*} {κ' : ι' → Sort*}
namespace Set
theorem mem_iUnion₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋃ (i) (j), s i j) ↔ ∃ i j, x ∈ s i j := by
simp_rw [mem_iUnion]
#align set.mem_Union₂ Set.mem_iUnion₂
theorem mem_iInter₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋂ (i) (j), s i j) ↔ ∀ i j, x ∈ s i j := by
simp_rw [mem_iInter]
#align set.mem_Inter₂ Set.mem_iInter₂
theorem mem_iUnion_of_mem {s : ι → Set α} {a : α} (i : ι) (ha : a ∈ s i) : a ∈ ⋃ i, s i :=
mem_iUnion.2 ⟨i, ha⟩
#align set.mem_Union_of_mem Set.mem_iUnion_of_mem
theorem mem_iUnion₂_of_mem {s : ∀ i, κ i → Set α} {a : α} {i : ι} (j : κ i) (ha : a ∈ s i j) :
a ∈ ⋃ (i) (j), s i j :=
mem_iUnion₂.2 ⟨i, j, ha⟩
#align set.mem_Union₂_of_mem Set.mem_iUnion₂_of_mem
theorem mem_iInter_of_mem {s : ι → Set α} {a : α} (h : ∀ i, a ∈ s i) : a ∈ ⋂ i, s i :=
mem_iInter.2 h
#align set.mem_Inter_of_mem Set.mem_iInter_of_mem
theorem mem_iInter₂_of_mem {s : ∀ i, κ i → Set α} {a : α} (h : ∀ i j, a ∈ s i j) :
a ∈ ⋂ (i) (j), s i j :=
mem_iInter₂.2 h
#align set.mem_Inter₂_of_mem Set.mem_iInter₂_of_mem
instance completeAtomicBooleanAlgebra : CompleteAtomicBooleanAlgebra (Set α) :=
{ instBooleanAlgebraSet with
le_sSup := fun s t t_in a a_in => ⟨t, t_in, a_in⟩
sSup_le := fun s t h a ⟨t', ⟨t'_in, a_in⟩⟩ => h t' t'_in a_in
le_sInf := fun s t h a a_in t' t'_in => h t' t'_in a_in
sInf_le := fun s t t_in a h => h _ t_in
iInf_iSup_eq := by intros; ext; simp [Classical.skolem] }
instance : OrderTop (Set α) where
top := univ
le_top := by simp
@[congr]
theorem iUnion_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q)
(f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iUnion f₁ = iUnion f₂ :=
iSup_congr_Prop pq f
#align set.Union_congr_Prop Set.iUnion_congr_Prop
@[congr]
theorem iInter_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q)
(f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iInter f₁ = iInter f₂ :=
iInf_congr_Prop pq f
#align set.Inter_congr_Prop Set.iInter_congr_Prop
theorem iUnion_plift_up (f : PLift ι → Set α) : ⋃ i, f (PLift.up i) = ⋃ i, f i :=
iSup_plift_up _
#align set.Union_plift_up Set.iUnion_plift_up
theorem iUnion_plift_down (f : ι → Set α) : ⋃ i, f (PLift.down i) = ⋃ i, f i :=
iSup_plift_down _
#align set.Union_plift_down Set.iUnion_plift_down
theorem iInter_plift_up (f : PLift ι → Set α) : ⋂ i, f (PLift.up i) = ⋂ i, f i :=
iInf_plift_up _
#align set.Inter_plift_up Set.iInter_plift_up
theorem iInter_plift_down (f : ι → Set α) : ⋂ i, f (PLift.down i) = ⋂ i, f i :=
iInf_plift_down _
#align set.Inter_plift_down Set.iInter_plift_down
theorem iUnion_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋃ _ : p, s = if p then s else ∅ :=
iSup_eq_if _
#align set.Union_eq_if Set.iUnion_eq_if
theorem iUnion_eq_dif {p : Prop} [Decidable p] (s : p → Set α) :
⋃ h : p, s h = if h : p then s h else ∅ :=
iSup_eq_dif _
#align set.Union_eq_dif Set.iUnion_eq_dif
theorem iInter_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋂ _ : p, s = if p then s else univ :=
iInf_eq_if _
#align set.Inter_eq_if Set.iInter_eq_if
theorem iInf_eq_dif {p : Prop} [Decidable p] (s : p → Set α) :
⋂ h : p, s h = if h : p then s h else univ :=
_root_.iInf_eq_dif _
#align set.Infi_eq_dif Set.iInf_eq_dif
theorem exists_set_mem_of_union_eq_top {ι : Type*} (t : Set ι) (s : ι → Set β)
(w : ⋃ i ∈ t, s i = ⊤) (x : β) : ∃ i ∈ t, x ∈ s i := by
have p : x ∈ ⊤ := Set.mem_univ x
rw [← w, Set.mem_iUnion] at p
simpa using p
#align set.exists_set_mem_of_union_eq_top Set.exists_set_mem_of_union_eq_top
theorem nonempty_of_union_eq_top_of_nonempty {ι : Type*} (t : Set ι) (s : ι → Set α)
(H : Nonempty α) (w : ⋃ i ∈ t, s i = ⊤) : t.Nonempty := by
obtain ⟨x, m, -⟩ := exists_set_mem_of_union_eq_top t s w H.some
exact ⟨x, m⟩
#align set.nonempty_of_union_eq_top_of_nonempty Set.nonempty_of_union_eq_top_of_nonempty
theorem nonempty_of_nonempty_iUnion
{s : ι → Set α} (h_Union : (⋃ i, s i).Nonempty) : Nonempty ι := by
obtain ⟨x, hx⟩ := h_Union
exact ⟨Classical.choose <| mem_iUnion.mp hx⟩
theorem nonempty_of_nonempty_iUnion_eq_univ
{s : ι → Set α} [Nonempty α] (h_Union : ⋃ i, s i = univ) : Nonempty ι :=
nonempty_of_nonempty_iUnion (s := s) (by simpa only [h_Union] using univ_nonempty)
theorem setOf_exists (p : ι → β → Prop) : { x | ∃ i, p i x } = ⋃ i, { x | p i x } :=
ext fun _ => mem_iUnion.symm
#align set.set_of_exists Set.setOf_exists
theorem setOf_forall (p : ι → β → Prop) : { x | ∀ i, p i x } = ⋂ i, { x | p i x } :=
ext fun _ => mem_iInter.symm
#align set.set_of_forall Set.setOf_forall
theorem iUnion_subset {s : ι → Set α} {t : Set α} (h : ∀ i, s i ⊆ t) : ⋃ i, s i ⊆ t :=
iSup_le h
#align set.Union_subset Set.iUnion_subset
theorem iUnion₂_subset {s : ∀ i, κ i → Set α} {t : Set α} (h : ∀ i j, s i j ⊆ t) :
⋃ (i) (j), s i j ⊆ t :=
iUnion_subset fun x => iUnion_subset (h x)
#align set.Union₂_subset Set.iUnion₂_subset
theorem subset_iInter {t : Set β} {s : ι → Set β} (h : ∀ i, t ⊆ s i) : t ⊆ ⋂ i, s i :=
le_iInf h
#align set.subset_Inter Set.subset_iInter
theorem subset_iInter₂ {s : Set α} {t : ∀ i, κ i → Set α} (h : ∀ i j, s ⊆ t i j) :
s ⊆ ⋂ (i) (j), t i j :=
subset_iInter fun x => subset_iInter <| h x
#align set.subset_Inter₂ Set.subset_iInter₂
@[simp]
theorem iUnion_subset_iff {s : ι → Set α} {t : Set α} : ⋃ i, s i ⊆ t ↔ ∀ i, s i ⊆ t :=
⟨fun h _ => Subset.trans (le_iSup s _) h, iUnion_subset⟩
#align set.Union_subset_iff Set.iUnion_subset_iff
theorem iUnion₂_subset_iff {s : ∀ i, κ i → Set α} {t : Set α} :
⋃ (i) (j), s i j ⊆ t ↔ ∀ i j, s i j ⊆ t := by simp_rw [iUnion_subset_iff]
#align set.Union₂_subset_iff Set.iUnion₂_subset_iff
@[simp]
theorem subset_iInter_iff {s : Set α} {t : ι → Set α} : (s ⊆ ⋂ i, t i) ↔ ∀ i, s ⊆ t i :=
le_iInf_iff
#align set.subset_Inter_iff Set.subset_iInter_iff
-- Porting note (#10618): removing `simp`. `simp` can prove it
theorem subset_iInter₂_iff {s : Set α} {t : ∀ i, κ i → Set α} :
(s ⊆ ⋂ (i) (j), t i j) ↔ ∀ i j, s ⊆ t i j := by simp_rw [subset_iInter_iff]
#align set.subset_Inter₂_iff Set.subset_iInter₂_iff
theorem subset_iUnion : ∀ (s : ι → Set β) (i : ι), s i ⊆ ⋃ i, s i :=
le_iSup
#align set.subset_Union Set.subset_iUnion
theorem iInter_subset : ∀ (s : ι → Set β) (i : ι), ⋂ i, s i ⊆ s i :=
iInf_le
#align set.Inter_subset Set.iInter_subset
theorem subset_iUnion₂ {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : s i j ⊆ ⋃ (i') (j'), s i' j' :=
le_iSup₂ i j
#align set.subset_Union₂ Set.subset_iUnion₂
theorem iInter₂_subset {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : ⋂ (i) (j), s i j ⊆ s i j :=
iInf₂_le i j
#align set.Inter₂_subset Set.iInter₂_subset
theorem subset_iUnion_of_subset {s : Set α} {t : ι → Set α} (i : ι) (h : s ⊆ t i) : s ⊆ ⋃ i, t i :=
le_iSup_of_le i h
#align set.subset_Union_of_subset Set.subset_iUnion_of_subset
theorem iInter_subset_of_subset {s : ι → Set α} {t : Set α} (i : ι) (h : s i ⊆ t) :
⋂ i, s i ⊆ t :=
iInf_le_of_le i h
#align set.Inter_subset_of_subset Set.iInter_subset_of_subset
theorem subset_iUnion₂_of_subset {s : Set α} {t : ∀ i, κ i → Set α} (i : ι) (j : κ i)
(h : s ⊆ t i j) : s ⊆ ⋃ (i) (j), t i j :=
le_iSup₂_of_le i j h
#align set.subset_Union₂_of_subset Set.subset_iUnion₂_of_subset
theorem iInter₂_subset_of_subset {s : ∀ i, κ i → Set α} {t : Set α} (i : ι) (j : κ i)
(h : s i j ⊆ t) : ⋂ (i) (j), s i j ⊆ t :=
iInf₂_le_of_le i j h
#align set.Inter₂_subset_of_subset Set.iInter₂_subset_of_subset
theorem iUnion_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋃ i, s i ⊆ ⋃ i, t i :=
iSup_mono h
#align set.Union_mono Set.iUnion_mono
@[gcongr]
theorem iUnion_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iUnion s ⊆ iUnion t :=
iSup_mono h
theorem iUnion₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) :
⋃ (i) (j), s i j ⊆ ⋃ (i) (j), t i j :=
iSup₂_mono h
#align set.Union₂_mono Set.iUnion₂_mono
theorem iInter_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋂ i, s i ⊆ ⋂ i, t i :=
iInf_mono h
#align set.Inter_mono Set.iInter_mono
@[gcongr]
theorem iInter_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iInter s ⊆ iInter t :=
iInf_mono h
theorem iInter₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) :
⋂ (i) (j), s i j ⊆ ⋂ (i) (j), t i j :=
iInf₂_mono h
#align set.Inter₂_mono Set.iInter₂_mono
theorem iUnion_mono' {s : ι → Set α} {t : ι₂ → Set α} (h : ∀ i, ∃ j, s i ⊆ t j) :
⋃ i, s i ⊆ ⋃ i, t i :=
iSup_mono' h
#align set.Union_mono' Set.iUnion_mono'
theorem iUnion₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α}
(h : ∀ i j, ∃ i' j', s i j ⊆ t i' j') : ⋃ (i) (j), s i j ⊆ ⋃ (i') (j'), t i' j' :=
iSup₂_mono' h
#align set.Union₂_mono' Set.iUnion₂_mono'
theorem iInter_mono' {s : ι → Set α} {t : ι' → Set α} (h : ∀ j, ∃ i, s i ⊆ t j) :
⋂ i, s i ⊆ ⋂ j, t j :=
Set.subset_iInter fun j =>
let ⟨i, hi⟩ := h j
iInter_subset_of_subset i hi
#align set.Inter_mono' Set.iInter_mono'
theorem iInter₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α}
(h : ∀ i' j', ∃ i j, s i j ⊆ t i' j') : ⋂ (i) (j), s i j ⊆ ⋂ (i') (j'), t i' j' :=
subset_iInter₂_iff.2 fun i' j' =>
let ⟨_, _, hst⟩ := h i' j'
(iInter₂_subset _ _).trans hst
#align set.Inter₂_mono' Set.iInter₂_mono'
theorem iUnion₂_subset_iUnion (κ : ι → Sort*) (s : ι → Set α) :
⋃ (i) (_ : κ i), s i ⊆ ⋃ i, s i :=
iUnion_mono fun _ => iUnion_subset fun _ => Subset.rfl
#align set.Union₂_subset_Union Set.iUnion₂_subset_iUnion
theorem iInter_subset_iInter₂ (κ : ι → Sort*) (s : ι → Set α) :
⋂ i, s i ⊆ ⋂ (i) (_ : κ i), s i :=
iInter_mono fun _ => subset_iInter fun _ => Subset.rfl
#align set.Inter_subset_Inter₂ Set.iInter_subset_iInter₂
theorem iUnion_setOf (P : ι → α → Prop) : ⋃ i, { x : α | P i x } = { x : α | ∃ i, P i x } := by
ext
exact mem_iUnion
#align set.Union_set_of Set.iUnion_setOf
theorem iInter_setOf (P : ι → α → Prop) : ⋂ i, { x : α | P i x } = { x : α | ∀ i, P i x } := by
ext
exact mem_iInter
#align set.Inter_set_of Set.iInter_setOf
theorem iUnion_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h)
(h2 : ∀ x, g (h x) = f x) : ⋃ x, f x = ⋃ y, g y :=
h1.iSup_congr h h2
#align set.Union_congr_of_surjective Set.iUnion_congr_of_surjective
theorem iInter_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h)
(h2 : ∀ x, g (h x) = f x) : ⋂ x, f x = ⋂ y, g y :=
h1.iInf_congr h h2
#align set.Inter_congr_of_surjective Set.iInter_congr_of_surjective
lemma iUnion_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋃ i, s i = ⋃ i, t i := iSup_congr h
#align set.Union_congr Set.iUnion_congr
lemma iInter_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋂ i, s i = ⋂ i, t i := iInf_congr h
#align set.Inter_congr Set.iInter_congr
lemma iUnion₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) :
⋃ (i) (j), s i j = ⋃ (i) (j), t i j :=
iUnion_congr fun i => iUnion_congr <| h i
#align set.Union₂_congr Set.iUnion₂_congr
lemma iInter₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) :
⋂ (i) (j), s i j = ⋂ (i) (j), t i j :=
iInter_congr fun i => iInter_congr <| h i
#align set.Inter₂_congr Set.iInter₂_congr
@[simp]
theorem compl_iUnion (s : ι → Set β) : (⋃ i, s i)ᶜ = ⋂ i, (s i)ᶜ :=
compl_iSup
#align set.compl_Union Set.compl_iUnion
theorem compl_iUnion₂ (s : ∀ i, κ i → Set α) : (⋃ (i) (j), s i j)ᶜ = ⋂ (i) (j), (s i j)ᶜ := by
simp_rw [compl_iUnion]
#align set.compl_Union₂ Set.compl_iUnion₂
@[simp]
theorem compl_iInter (s : ι → Set β) : (⋂ i, s i)ᶜ = ⋃ i, (s i)ᶜ :=
compl_iInf
#align set.compl_Inter Set.compl_iInter
theorem compl_iInter₂ (s : ∀ i, κ i → Set α) : (⋂ (i) (j), s i j)ᶜ = ⋃ (i) (j), (s i j)ᶜ := by
simp_rw [compl_iInter]
#align set.compl_Inter₂ Set.compl_iInter₂
-- classical -- complete_boolean_algebra
theorem iUnion_eq_compl_iInter_compl (s : ι → Set β) : ⋃ i, s i = (⋂ i, (s i)ᶜ)ᶜ := by
simp only [compl_iInter, compl_compl]
#align set.Union_eq_compl_Inter_compl Set.iUnion_eq_compl_iInter_compl
-- classical -- complete_boolean_algebra
theorem iInter_eq_compl_iUnion_compl (s : ι → Set β) : ⋂ i, s i = (⋃ i, (s i)ᶜ)ᶜ := by
simp only [compl_iUnion, compl_compl]
#align set.Inter_eq_compl_Union_compl Set.iInter_eq_compl_iUnion_compl
theorem inter_iUnion (s : Set β) (t : ι → Set β) : (s ∩ ⋃ i, t i) = ⋃ i, s ∩ t i :=
inf_iSup_eq _ _
#align set.inter_Union Set.inter_iUnion
theorem iUnion_inter (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∩ s = ⋃ i, t i ∩ s :=
iSup_inf_eq _ _
#align set.Union_inter Set.iUnion_inter
theorem iUnion_union_distrib (s : ι → Set β) (t : ι → Set β) :
⋃ i, s i ∪ t i = (⋃ i, s i) ∪ ⋃ i, t i :=
iSup_sup_eq
#align set.Union_union_distrib Set.iUnion_union_distrib
theorem iInter_inter_distrib (s : ι → Set β) (t : ι → Set β) :
⋂ i, s i ∩ t i = (⋂ i, s i) ∩ ⋂ i, t i :=
iInf_inf_eq
#align set.Inter_inter_distrib Set.iInter_inter_distrib
theorem union_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∪ ⋃ i, t i) = ⋃ i, s ∪ t i :=
sup_iSup
#align set.union_Union Set.union_iUnion
theorem iUnion_union [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∪ s = ⋃ i, t i ∪ s :=
iSup_sup
#align set.Union_union Set.iUnion_union
theorem inter_iInter [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∩ ⋂ i, t i) = ⋂ i, s ∩ t i :=
inf_iInf
#align set.inter_Inter Set.inter_iInter
theorem iInter_inter [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋂ i, t i) ∩ s = ⋂ i, t i ∩ s :=
iInf_inf
#align set.Inter_inter Set.iInter_inter
-- classical
theorem union_iInter (s : Set β) (t : ι → Set β) : (s ∪ ⋂ i, t i) = ⋂ i, s ∪ t i :=
sup_iInf_eq _ _
#align set.union_Inter Set.union_iInter
theorem iInter_union (s : ι → Set β) (t : Set β) : (⋂ i, s i) ∪ t = ⋂ i, s i ∪ t :=
iInf_sup_eq _ _
#align set.Inter_union Set.iInter_union
theorem iUnion_diff (s : Set β) (t : ι → Set β) : (⋃ i, t i) \ s = ⋃ i, t i \ s :=
iUnion_inter _ _
#align set.Union_diff Set.iUnion_diff
theorem diff_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s \ ⋃ i, t i) = ⋂ i, s \ t i := by
rw [diff_eq, compl_iUnion, inter_iInter]; rfl
#align set.diff_Union Set.diff_iUnion
theorem diff_iInter (s : Set β) (t : ι → Set β) : (s \ ⋂ i, t i) = ⋃ i, s \ t i := by
rw [diff_eq, compl_iInter, inter_iUnion]; rfl
#align set.diff_Inter Set.diff_iInter
theorem iUnion_inter_subset {ι α} {s t : ι → Set α} : ⋃ i, s i ∩ t i ⊆ (⋃ i, s i) ∩ ⋃ i, t i :=
le_iSup_inf_iSup s t
#align set.Union_inter_subset Set.iUnion_inter_subset
theorem iUnion_inter_of_monotone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α}
(hs : Monotone s) (ht : Monotone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i :=
iSup_inf_of_monotone hs ht
#align set.Union_inter_of_monotone Set.iUnion_inter_of_monotone
theorem iUnion_inter_of_antitone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α}
(hs : Antitone s) (ht : Antitone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i :=
iSup_inf_of_antitone hs ht
#align set.Union_inter_of_antitone Set.iUnion_inter_of_antitone
theorem iInter_union_of_monotone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α}
(hs : Monotone s) (ht : Monotone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i :=
iInf_sup_of_monotone hs ht
#align set.Inter_union_of_monotone Set.iInter_union_of_monotone
theorem iInter_union_of_antitone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α}
(hs : Antitone s) (ht : Antitone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i :=
iInf_sup_of_antitone hs ht
#align set.Inter_union_of_antitone Set.iInter_union_of_antitone
theorem iUnion_iInter_subset {s : ι → ι' → Set α} : (⋃ j, ⋂ i, s i j) ⊆ ⋂ i, ⋃ j, s i j :=
iSup_iInf_le_iInf_iSup (flip s)
#align set.Union_Inter_subset Set.iUnion_iInter_subset
theorem iUnion_option {ι} (s : Option ι → Set α) : ⋃ o, s o = s none ∪ ⋃ i, s (some i) :=
iSup_option s
#align set.Union_option Set.iUnion_option
theorem iInter_option {ι} (s : Option ι → Set α) : ⋂ o, s o = s none ∩ ⋂ i, s (some i) :=
iInf_option s
#align set.Inter_option Set.iInter_option
section
variable (p : ι → Prop) [DecidablePred p]
theorem iUnion_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) :
⋃ i, (if h : p i then f i h else g i h) = (⋃ (i) (h : p i), f i h) ∪ ⋃ (i) (h : ¬p i), g i h :=
iSup_dite _ _ _
#align set.Union_dite Set.iUnion_dite
theorem iUnion_ite (f g : ι → Set α) :
⋃ i, (if p i then f i else g i) = (⋃ (i) (_ : p i), f i) ∪ ⋃ (i) (_ : ¬p i), g i :=
iUnion_dite _ _ _
#align set.Union_ite Set.iUnion_ite
theorem iInter_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) :
⋂ i, (if h : p i then f i h else g i h) = (⋂ (i) (h : p i), f i h) ∩ ⋂ (i) (h : ¬p i), g i h :=
iInf_dite _ _ _
#align set.Inter_dite Set.iInter_dite
theorem iInter_ite (f g : ι → Set α) :
⋂ i, (if p i then f i else g i) = (⋂ (i) (_ : p i), f i) ∩ ⋂ (i) (_ : ¬p i), g i :=
iInter_dite _ _ _
#align set.Inter_ite Set.iInter_ite
end
theorem image_projection_prod {ι : Type*} {α : ι → Type*} {v : ∀ i : ι, Set (α i)}
(hv : (pi univ v).Nonempty) (i : ι) :
((fun x : ∀ i : ι, α i => x i) '' ⋂ k, (fun x : ∀ j : ι, α j => x k) ⁻¹' v k) = v i := by
classical
apply Subset.antisymm
· simp [iInter_subset]
· intro y y_in
simp only [mem_image, mem_iInter, mem_preimage]
rcases hv with ⟨z, hz⟩
refine ⟨Function.update z i y, ?_, update_same i y z⟩
rw [@forall_update_iff ι α _ z i y fun i t => t ∈ v i]
exact ⟨y_in, fun j _ => by simpa using hz j⟩
#align set.image_projection_prod Set.image_projection_prod
theorem iInter_false {s : False → Set α} : iInter s = univ :=
iInf_false
#align set.Inter_false Set.iInter_false
theorem iUnion_false {s : False → Set α} : iUnion s = ∅ :=
iSup_false
#align set.Union_false Set.iUnion_false
@[simp]
theorem iInter_true {s : True → Set α} : iInter s = s trivial :=
iInf_true
#align set.Inter_true Set.iInter_true
@[simp]
theorem iUnion_true {s : True → Set α} : iUnion s = s trivial :=
iSup_true
#align set.Union_true Set.iUnion_true
@[simp]
theorem iInter_exists {p : ι → Prop} {f : Exists p → Set α} :
⋂ x, f x = ⋂ (i) (h : p i), f ⟨i, h⟩ :=
iInf_exists
#align set.Inter_exists Set.iInter_exists
@[simp]
theorem iUnion_exists {p : ι → Prop} {f : Exists p → Set α} :
⋃ x, f x = ⋃ (i) (h : p i), f ⟨i, h⟩ :=
iSup_exists
#align set.Union_exists Set.iUnion_exists
@[simp]
theorem iUnion_empty : (⋃ _ : ι, ∅ : Set α) = ∅ :=
iSup_bot
#align set.Union_empty Set.iUnion_empty
@[simp]
theorem iInter_univ : (⋂ _ : ι, univ : Set α) = univ :=
iInf_top
#align set.Inter_univ Set.iInter_univ
section
variable {s : ι → Set α}
@[simp]
theorem iUnion_eq_empty : ⋃ i, s i = ∅ ↔ ∀ i, s i = ∅ :=
iSup_eq_bot
#align set.Union_eq_empty Set.iUnion_eq_empty
@[simp]
theorem iInter_eq_univ : ⋂ i, s i = univ ↔ ∀ i, s i = univ :=
iInf_eq_top
#align set.Inter_eq_univ Set.iInter_eq_univ
@[simp]
theorem nonempty_iUnion : (⋃ i, s i).Nonempty ↔ ∃ i, (s i).Nonempty := by
simp [nonempty_iff_ne_empty]
#align set.nonempty_Union Set.nonempty_iUnion
-- Porting note (#10618): removing `simp`. `simp` can prove it
theorem nonempty_biUnion {t : Set α} {s : α → Set β} :
(⋃ i ∈ t, s i).Nonempty ↔ ∃ i ∈ t, (s i).Nonempty := by simp
#align set.nonempty_bUnion Set.nonempty_biUnion
theorem iUnion_nonempty_index (s : Set α) (t : s.Nonempty → Set β) :
⋃ h, t h = ⋃ x ∈ s, t ⟨x, ‹_›⟩ :=
iSup_exists
#align set.Union_nonempty_index Set.iUnion_nonempty_index
end
@[simp]
theorem iInter_iInter_eq_left {b : β} {s : ∀ x : β, x = b → Set α} :
⋂ (x) (h : x = b), s x h = s b rfl :=
iInf_iInf_eq_left
#align set.Inter_Inter_eq_left Set.iInter_iInter_eq_left
@[simp]
theorem iInter_iInter_eq_right {b : β} {s : ∀ x : β, b = x → Set α} :
⋂ (x) (h : b = x), s x h = s b rfl :=
iInf_iInf_eq_right
#align set.Inter_Inter_eq_right Set.iInter_iInter_eq_right
@[simp]
theorem iUnion_iUnion_eq_left {b : β} {s : ∀ x : β, x = b → Set α} :
⋃ (x) (h : x = b), s x h = s b rfl :=
iSup_iSup_eq_left
#align set.Union_Union_eq_left Set.iUnion_iUnion_eq_left
@[simp]
theorem iUnion_iUnion_eq_right {b : β} {s : ∀ x : β, b = x → Set α} :
⋃ (x) (h : b = x), s x h = s b rfl :=
iSup_iSup_eq_right
#align set.Union_Union_eq_right Set.iUnion_iUnion_eq_right
theorem iInter_or {p q : Prop} (s : p ∨ q → Set α) :
⋂ h, s h = (⋂ h : p, s (Or.inl h)) ∩ ⋂ h : q, s (Or.inr h) :=
iInf_or
#align set.Inter_or Set.iInter_or
theorem iUnion_or {p q : Prop} (s : p ∨ q → Set α) :
⋃ h, s h = (⋃ i, s (Or.inl i)) ∪ ⋃ j, s (Or.inr j) :=
iSup_or
#align set.Union_or Set.iUnion_or
theorem iUnion_and {p q : Prop} (s : p ∧ q → Set α) : ⋃ h, s h = ⋃ (hp) (hq), s ⟨hp, hq⟩ :=
iSup_and
#align set.Union_and Set.iUnion_and
theorem iInter_and {p q : Prop} (s : p ∧ q → Set α) : ⋂ h, s h = ⋂ (hp) (hq), s ⟨hp, hq⟩ :=
iInf_and
#align set.Inter_and Set.iInter_and
theorem iUnion_comm (s : ι → ι' → Set α) : ⋃ (i) (i'), s i i' = ⋃ (i') (i), s i i' :=
iSup_comm
#align set.Union_comm Set.iUnion_comm
theorem iInter_comm (s : ι → ι' → Set α) : ⋂ (i) (i'), s i i' = ⋂ (i') (i), s i i' :=
iInf_comm
#align set.Inter_comm Set.iInter_comm
theorem iUnion_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋃ ia, s ia = ⋃ i, ⋃ a, s ⟨i, a⟩ :=
iSup_sigma
theorem iUnion_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) :
⋃ i, ⋃ a, s i a = ⋃ ia : Sigma γ, s ia.1 ia.2 :=
iSup_sigma' _
theorem iInter_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋂ ia, s ia = ⋂ i, ⋂ a, s ⟨i, a⟩ :=
iInf_sigma
theorem iInter_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) :
⋂ i, ⋂ a, s i a = ⋂ ia : Sigma γ, s ia.1 ia.2 :=
iInf_sigma' _
theorem iUnion₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) :
⋃ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋃ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ :=
iSup₂_comm _
#align set.Union₂_comm Set.iUnion₂_comm
theorem iInter₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) :
⋂ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋂ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ :=
iInf₂_comm _
#align set.Inter₂_comm Set.iInter₂_comm
@[simp]
theorem biUnion_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) :
⋃ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h =
⋃ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by
simp only [iUnion_and, @iUnion_comm _ ι']
#align set.bUnion_and Set.biUnion_and
@[simp]
theorem biUnion_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) :
⋃ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h =
⋃ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by
simp only [iUnion_and, @iUnion_comm _ ι]
#align set.bUnion_and' Set.biUnion_and'
@[simp]
theorem biInter_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) :
⋂ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h =
⋂ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by
simp only [iInter_and, @iInter_comm _ ι']
#align set.bInter_and Set.biInter_and
@[simp]
theorem biInter_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) :
⋂ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h =
⋂ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by
simp only [iInter_and, @iInter_comm _ ι]
#align set.bInter_and' Set.biInter_and'
@[simp]
theorem iUnion_iUnion_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} :
⋃ (x) (h), s x h = s b (Or.inl rfl) ∪ ⋃ (x) (h : p x), s x (Or.inr h) := by
simp only [iUnion_or, iUnion_union_distrib, iUnion_iUnion_eq_left]
#align set.Union_Union_eq_or_left Set.iUnion_iUnion_eq_or_left
@[simp]
theorem iInter_iInter_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} :
⋂ (x) (h), s x h = s b (Or.inl rfl) ∩ ⋂ (x) (h : p x), s x (Or.inr h) := by
simp only [iInter_or, iInter_inter_distrib, iInter_iInter_eq_left]
#align set.Inter_Inter_eq_or_left Set.iInter_iInter_eq_or_left
theorem mem_biUnion {s : Set α} {t : α → Set β} {x : α} {y : β} (xs : x ∈ s) (ytx : y ∈ t x) :
y ∈ ⋃ x ∈ s, t x :=
mem_iUnion₂_of_mem xs ytx
#align set.mem_bUnion Set.mem_biUnion
theorem mem_biInter {s : Set α} {t : α → Set β} {y : β} (h : ∀ x ∈ s, y ∈ t x) :
y ∈ ⋂ x ∈ s, t x :=
mem_iInter₂_of_mem h
#align set.mem_bInter Set.mem_biInter
theorem subset_biUnion_of_mem {s : Set α} {u : α → Set β} {x : α} (xs : x ∈ s) :
u x ⊆ ⋃ x ∈ s, u x :=
-- Porting note: Why is this not just `subset_iUnion₂ x xs`?
@subset_iUnion₂ β α (· ∈ s) (fun i _ => u i) x xs
#align set.subset_bUnion_of_mem Set.subset_biUnion_of_mem
theorem biInter_subset_of_mem {s : Set α} {t : α → Set β} {x : α} (xs : x ∈ s) :
⋂ x ∈ s, t x ⊆ t x :=
iInter₂_subset x xs
#align set.bInter_subset_of_mem Set.biInter_subset_of_mem
theorem biUnion_subset_biUnion_left {s s' : Set α} {t : α → Set β} (h : s ⊆ s') :
⋃ x ∈ s, t x ⊆ ⋃ x ∈ s', t x :=
iUnion₂_subset fun _ hx => subset_biUnion_of_mem <| h hx
#align set.bUnion_subset_bUnion_left Set.biUnion_subset_biUnion_left
theorem biInter_subset_biInter_left {s s' : Set α} {t : α → Set β} (h : s' ⊆ s) :
⋂ x ∈ s, t x ⊆ ⋂ x ∈ s', t x :=
subset_iInter₂ fun _ hx => biInter_subset_of_mem <| h hx
#align set.bInter_subset_bInter_left Set.biInter_subset_biInter_left
theorem biUnion_mono {s s' : Set α} {t t' : α → Set β} (hs : s' ⊆ s) (h : ∀ x ∈ s, t x ⊆ t' x) :
⋃ x ∈ s', t x ⊆ ⋃ x ∈ s, t' x :=
(biUnion_subset_biUnion_left hs).trans <| iUnion₂_mono h
#align set.bUnion_mono Set.biUnion_mono
theorem biInter_mono {s s' : Set α} {t t' : α → Set β} (hs : s ⊆ s') (h : ∀ x ∈ s, t x ⊆ t' x) :
⋂ x ∈ s', t x ⊆ ⋂ x ∈ s, t' x :=
(biInter_subset_biInter_left hs).trans <| iInter₂_mono h
#align set.bInter_mono Set.biInter_mono
theorem biUnion_eq_iUnion (s : Set α) (t : ∀ x ∈ s, Set β) :
⋃ x ∈ s, t x ‹_› = ⋃ x : s, t x x.2 :=
iSup_subtype'
#align set.bUnion_eq_Union Set.biUnion_eq_iUnion
theorem biInter_eq_iInter (s : Set α) (t : ∀ x ∈ s, Set β) :
⋂ x ∈ s, t x ‹_› = ⋂ x : s, t x x.2 :=
iInf_subtype'
#align set.bInter_eq_Inter Set.biInter_eq_iInter
theorem iUnion_subtype (p : α → Prop) (s : { x // p x } → Set β) :
⋃ x : { x // p x }, s x = ⋃ (x) (hx : p x), s ⟨x, hx⟩ :=
iSup_subtype
#align set.Union_subtype Set.iUnion_subtype
theorem iInter_subtype (p : α → Prop) (s : { x // p x } → Set β) :
⋂ x : { x // p x }, s x = ⋂ (x) (hx : p x), s ⟨x, hx⟩ :=
iInf_subtype
#align set.Inter_subtype Set.iInter_subtype
theorem biInter_empty (u : α → Set β) : ⋂ x ∈ (∅ : Set α), u x = univ :=
iInf_emptyset
#align set.bInter_empty Set.biInter_empty
theorem biInter_univ (u : α → Set β) : ⋂ x ∈ @univ α, u x = ⋂ x, u x :=
iInf_univ
#align set.bInter_univ Set.biInter_univ
@[simp]
theorem biUnion_self (s : Set α) : ⋃ x ∈ s, s = s :=
Subset.antisymm (iUnion₂_subset fun _ _ => Subset.refl s) fun _ hx => mem_biUnion hx hx
#align set.bUnion_self Set.biUnion_self
@[simp]
theorem iUnion_nonempty_self (s : Set α) : ⋃ _ : s.Nonempty, s = s := by
rw [iUnion_nonempty_index, biUnion_self]
#align set.Union_nonempty_self Set.iUnion_nonempty_self
theorem biInter_singleton (a : α) (s : α → Set β) : ⋂ x ∈ ({a} : Set α), s x = s a :=
iInf_singleton
#align set.bInter_singleton Set.biInter_singleton
theorem biInter_union (s t : Set α) (u : α → Set β) :
⋂ x ∈ s ∪ t, u x = (⋂ x ∈ s, u x) ∩ ⋂ x ∈ t, u x :=
iInf_union
#align set.bInter_union Set.biInter_union
theorem biInter_insert (a : α) (s : Set α) (t : α → Set β) :
⋂ x ∈ insert a s, t x = t a ∩ ⋂ x ∈ s, t x := by simp
#align set.bInter_insert Set.biInter_insert
theorem biInter_pair (a b : α) (s : α → Set β) : ⋂ x ∈ ({a, b} : Set α), s x = s a ∩ s b := by
rw [biInter_insert, biInter_singleton]
#align set.bInter_pair Set.biInter_pair
theorem biInter_inter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) :
⋂ i ∈ s, f i ∩ t = (⋂ i ∈ s, f i) ∩ t := by
haveI : Nonempty s := hs.to_subtype
simp [biInter_eq_iInter, ← iInter_inter]
#align set.bInter_inter Set.biInter_inter
theorem inter_biInter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) :
⋂ i ∈ s, t ∩ f i = t ∩ ⋂ i ∈ s, f i := by
rw [inter_comm, ← biInter_inter hs]
simp [inter_comm]
#align set.inter_bInter Set.inter_biInter
theorem biUnion_empty (s : α → Set β) : ⋃ x ∈ (∅ : Set α), s x = ∅ :=
iSup_emptyset
#align set.bUnion_empty Set.biUnion_empty
theorem biUnion_univ (s : α → Set β) : ⋃ x ∈ @univ α, s x = ⋃ x, s x :=
iSup_univ
#align set.bUnion_univ Set.biUnion_univ
theorem biUnion_singleton (a : α) (s : α → Set β) : ⋃ x ∈ ({a} : Set α), s x = s a :=
iSup_singleton
#align set.bUnion_singleton Set.biUnion_singleton
@[simp]
theorem biUnion_of_singleton (s : Set α) : ⋃ x ∈ s, {x} = s :=
ext <| by simp
#align set.bUnion_of_singleton Set.biUnion_of_singleton
theorem biUnion_union (s t : Set α) (u : α → Set β) :
⋃ x ∈ s ∪ t, u x = (⋃ x ∈ s, u x) ∪ ⋃ x ∈ t, u x :=
iSup_union
#align set.bUnion_union Set.biUnion_union
@[simp]
theorem iUnion_coe_set {α β : Type*} (s : Set α) (f : s → Set β) :
⋃ i, f i = ⋃ i ∈ s, f ⟨i, ‹i ∈ s›⟩ :=
iUnion_subtype _ _
#align set.Union_coe_set Set.iUnion_coe_set
@[simp]
theorem iInter_coe_set {α β : Type*} (s : Set α) (f : s → Set β) :
⋂ i, f i = ⋂ i ∈ s, f ⟨i, ‹i ∈ s›⟩ :=
iInter_subtype _ _
#align set.Inter_coe_set Set.iInter_coe_set
theorem biUnion_insert (a : α) (s : Set α) (t : α → Set β) :
⋃ x ∈ insert a s, t x = t a ∪ ⋃ x ∈ s, t x := by simp
#align set.bUnion_insert Set.biUnion_insert
theorem biUnion_pair (a b : α) (s : α → Set β) : ⋃ x ∈ ({a, b} : Set α), s x = s a ∪ s b := by
simp
#align set.bUnion_pair Set.biUnion_pair
theorem inter_iUnion₂ (s : Set α) (t : ∀ i, κ i → Set α) :
(s ∩ ⋃ (i) (j), t i j) = ⋃ (i) (j), s ∩ t i j := by simp only [inter_iUnion]
#align set.inter_Union₂ Set.inter_iUnion₂
theorem iUnion₂_inter (s : ∀ i, κ i → Set α) (t : Set α) :
(⋃ (i) (j), s i j) ∩ t = ⋃ (i) (j), s i j ∩ t := by simp_rw [iUnion_inter]
#align set.Union₂_inter Set.iUnion₂_inter
theorem union_iInter₂ (s : Set α) (t : ∀ i, κ i → Set α) :
(s ∪ ⋂ (i) (j), t i j) = ⋂ (i) (j), s ∪ t i j := by simp_rw [union_iInter]
#align set.union_Inter₂ Set.union_iInter₂
theorem iInter₂_union (s : ∀ i, κ i → Set α) (t : Set α) :
(⋂ (i) (j), s i j) ∪ t = ⋂ (i) (j), s i j ∪ t := by simp_rw [iInter_union]
#align set.Inter₂_union Set.iInter₂_union
theorem mem_sUnion_of_mem {x : α} {t : Set α} {S : Set (Set α)} (hx : x ∈ t) (ht : t ∈ S) :
x ∈ ⋃₀S :=
⟨t, ht, hx⟩
#align set.mem_sUnion_of_mem Set.mem_sUnion_of_mem
-- is this theorem really necessary?
theorem not_mem_of_not_mem_sUnion {x : α} {t : Set α} {S : Set (Set α)} (hx : x ∉ ⋃₀S)
(ht : t ∈ S) : x ∉ t := fun h => hx ⟨t, ht, h⟩
#align set.not_mem_of_not_mem_sUnion Set.not_mem_of_not_mem_sUnion
theorem sInter_subset_of_mem {S : Set (Set α)} {t : Set α} (tS : t ∈ S) : ⋂₀ S ⊆ t :=
sInf_le tS
#align set.sInter_subset_of_mem Set.sInter_subset_of_mem
theorem subset_sUnion_of_mem {S : Set (Set α)} {t : Set α} (tS : t ∈ S) : t ⊆ ⋃₀S :=
le_sSup tS
#align set.subset_sUnion_of_mem Set.subset_sUnion_of_mem
theorem subset_sUnion_of_subset {s : Set α} (t : Set (Set α)) (u : Set α) (h₁ : s ⊆ u)
(h₂ : u ∈ t) : s ⊆ ⋃₀t :=
Subset.trans h₁ (subset_sUnion_of_mem h₂)
#align set.subset_sUnion_of_subset Set.subset_sUnion_of_subset
theorem sUnion_subset {S : Set (Set α)} {t : Set α} (h : ∀ t' ∈ S, t' ⊆ t) : ⋃₀S ⊆ t :=
sSup_le h
#align set.sUnion_subset Set.sUnion_subset
@[simp]
theorem sUnion_subset_iff {s : Set (Set α)} {t : Set α} : ⋃₀s ⊆ t ↔ ∀ t' ∈ s, t' ⊆ t :=
sSup_le_iff
#align set.sUnion_subset_iff Set.sUnion_subset_iff
lemma sUnion_mono_subsets {s : Set (Set α)} {f : Set α → Set α} (hf : ∀ t : Set α, t ⊆ f t) :
⋃₀ s ⊆ ⋃₀ (f '' s) :=
fun _ ⟨t, htx, hxt⟩ ↦ ⟨f t, mem_image_of_mem f htx, hf t hxt⟩
lemma sUnion_mono_supsets {s : Set (Set α)} {f : Set α → Set α} (hf : ∀ t : Set α, f t ⊆ t) :
⋃₀ (f '' s) ⊆ ⋃₀ s :=
-- If t ∈ f '' s is arbitrary; t = f u for some u : Set α.
fun _ ⟨_, ⟨u, hus, hut⟩, hxt⟩ ↦ ⟨u, hus, (hut ▸ hf u) hxt⟩
theorem subset_sInter {S : Set (Set α)} {t : Set α} (h : ∀ t' ∈ S, t ⊆ t') : t ⊆ ⋂₀ S :=
le_sInf h
#align set.subset_sInter Set.subset_sInter
@[simp]
theorem subset_sInter_iff {S : Set (Set α)} {t : Set α} : t ⊆ ⋂₀ S ↔ ∀ t' ∈ S, t ⊆ t' :=
le_sInf_iff
#align set.subset_sInter_iff Set.subset_sInter_iff
@[gcongr]
theorem sUnion_subset_sUnion {S T : Set (Set α)} (h : S ⊆ T) : ⋃₀S ⊆ ⋃₀T :=
sUnion_subset fun _ hs => subset_sUnion_of_mem (h hs)
#align set.sUnion_subset_sUnion Set.sUnion_subset_sUnion
@[gcongr]
theorem sInter_subset_sInter {S T : Set (Set α)} (h : S ⊆ T) : ⋂₀ T ⊆ ⋂₀ S :=
subset_sInter fun _ hs => sInter_subset_of_mem (h hs)
#align set.sInter_subset_sInter Set.sInter_subset_sInter
@[simp]
theorem sUnion_empty : ⋃₀∅ = (∅ : Set α) :=
sSup_empty
#align set.sUnion_empty Set.sUnion_empty
@[simp]
theorem sInter_empty : ⋂₀ ∅ = (univ : Set α) :=
sInf_empty
#align set.sInter_empty Set.sInter_empty
@[simp]
theorem sUnion_singleton (s : Set α) : ⋃₀{s} = s :=
sSup_singleton
#align set.sUnion_singleton Set.sUnion_singleton
@[simp]
theorem sInter_singleton (s : Set α) : ⋂₀ {s} = s :=
sInf_singleton
#align set.sInter_singleton Set.sInter_singleton
@[simp]
theorem sUnion_eq_empty {S : Set (Set α)} : ⋃₀S = ∅ ↔ ∀ s ∈ S, s = ∅ :=
sSup_eq_bot
#align set.sUnion_eq_empty Set.sUnion_eq_empty
@[simp]
theorem sInter_eq_univ {S : Set (Set α)} : ⋂₀ S = univ ↔ ∀ s ∈ S, s = univ :=
sInf_eq_top
#align set.sInter_eq_univ Set.sInter_eq_univ
theorem subset_powerset_iff {s : Set (Set α)} {t : Set α} : s ⊆ 𝒫 t ↔ ⋃₀ s ⊆ t :=
sUnion_subset_iff.symm
theorem sUnion_powerset_gc :
GaloisConnection (⋃₀ · : Set (Set α) → Set α) (𝒫 · : Set α → Set (Set α)) :=
gc_sSup_Iic
def sUnion_powerset_gi :
GaloisInsertion (⋃₀ · : Set (Set α) → Set α) (𝒫 · : Set α → Set (Set α)) :=
gi_sSup_Iic
theorem sUnion_mem_empty_univ {S : Set (Set α)} (h : S ⊆ {∅, univ}) :
⋃₀ S ∈ ({∅, univ} : Set (Set α)) := by
simp only [mem_insert_iff, mem_singleton_iff, or_iff_not_imp_left, sUnion_eq_empty, not_forall]
rintro ⟨s, hs, hne⟩
obtain rfl : s = univ := (h hs).resolve_left hne
exact univ_subset_iff.1 <| subset_sUnion_of_mem hs
@[simp]
theorem nonempty_sUnion {S : Set (Set α)} : (⋃₀S).Nonempty ↔ ∃ s ∈ S, Set.Nonempty s := by
simp [nonempty_iff_ne_empty]
#align set.nonempty_sUnion Set.nonempty_sUnion
theorem Nonempty.of_sUnion {s : Set (Set α)} (h : (⋃₀s).Nonempty) : s.Nonempty :=
let ⟨s, hs, _⟩ := nonempty_sUnion.1 h
⟨s, hs⟩
#align set.nonempty.of_sUnion Set.Nonempty.of_sUnion
theorem Nonempty.of_sUnion_eq_univ [Nonempty α] {s : Set (Set α)} (h : ⋃₀s = univ) : s.Nonempty :=
Nonempty.of_sUnion <| h.symm ▸ univ_nonempty
#align set.nonempty.of_sUnion_eq_univ Set.Nonempty.of_sUnion_eq_univ
theorem sUnion_union (S T : Set (Set α)) : ⋃₀(S ∪ T) = ⋃₀S ∪ ⋃₀T :=
sSup_union
#align set.sUnion_union Set.sUnion_union
theorem sInter_union (S T : Set (Set α)) : ⋂₀ (S ∪ T) = ⋂₀ S ∩ ⋂₀ T :=
sInf_union
#align set.sInter_union Set.sInter_union
@[simp]
theorem sUnion_insert (s : Set α) (T : Set (Set α)) : ⋃₀insert s T = s ∪ ⋃₀T :=
sSup_insert
#align set.sUnion_insert Set.sUnion_insert
@[simp]
theorem sInter_insert (s : Set α) (T : Set (Set α)) : ⋂₀ insert s T = s ∩ ⋂₀ T :=
sInf_insert
#align set.sInter_insert Set.sInter_insert
@[simp]
theorem sUnion_diff_singleton_empty (s : Set (Set α)) : ⋃₀(s \ {∅}) = ⋃₀s :=
sSup_diff_singleton_bot s
#align set.sUnion_diff_singleton_empty Set.sUnion_diff_singleton_empty
@[simp]
theorem sInter_diff_singleton_univ (s : Set (Set α)) : ⋂₀ (s \ {univ}) = ⋂₀ s :=
sInf_diff_singleton_top s
#align set.sInter_diff_singleton_univ Set.sInter_diff_singleton_univ
theorem sUnion_pair (s t : Set α) : ⋃₀{s, t} = s ∪ t :=
sSup_pair
#align set.sUnion_pair Set.sUnion_pair
theorem sInter_pair (s t : Set α) : ⋂₀ {s, t} = s ∩ t :=
sInf_pair
#align set.sInter_pair Set.sInter_pair
@[simp]
theorem sUnion_image (f : α → Set β) (s : Set α) : ⋃₀(f '' s) = ⋃ x ∈ s, f x :=
sSup_image
#align set.sUnion_image Set.sUnion_image
@[simp]
theorem sInter_image (f : α → Set β) (s : Set α) : ⋂₀ (f '' s) = ⋂ x ∈ s, f x :=
sInf_image
#align set.sInter_image Set.sInter_image
@[simp]
theorem sUnion_range (f : ι → Set β) : ⋃₀range f = ⋃ x, f x :=
rfl
#align set.sUnion_range Set.sUnion_range
@[simp]
theorem sInter_range (f : ι → Set β) : ⋂₀ range f = ⋂ x, f x :=
rfl
#align set.sInter_range Set.sInter_range
theorem iUnion_eq_univ_iff {f : ι → Set α} : ⋃ i, f i = univ ↔ ∀ x, ∃ i, x ∈ f i := by
simp only [eq_univ_iff_forall, mem_iUnion]
#align set.Union_eq_univ_iff Set.iUnion_eq_univ_iff
theorem iUnion₂_eq_univ_iff {s : ∀ i, κ i → Set α} :
⋃ (i) (j), s i j = univ ↔ ∀ a, ∃ i j, a ∈ s i j := by
simp only [iUnion_eq_univ_iff, mem_iUnion]
#align set.Union₂_eq_univ_iff Set.iUnion₂_eq_univ_iff
theorem sUnion_eq_univ_iff {c : Set (Set α)} : ⋃₀c = univ ↔ ∀ a, ∃ b ∈ c, a ∈ b := by
simp only [eq_univ_iff_forall, mem_sUnion]
#align set.sUnion_eq_univ_iff Set.sUnion_eq_univ_iff
-- classical
theorem iInter_eq_empty_iff {f : ι → Set α} : ⋂ i, f i = ∅ ↔ ∀ x, ∃ i, x ∉ f i := by
simp [Set.eq_empty_iff_forall_not_mem]
#align set.Inter_eq_empty_iff Set.iInter_eq_empty_iff
-- classical
theorem iInter₂_eq_empty_iff {s : ∀ i, κ i → Set α} :
⋂ (i) (j), s i j = ∅ ↔ ∀ a, ∃ i j, a ∉ s i j := by
simp only [eq_empty_iff_forall_not_mem, mem_iInter, not_forall]
#align set.Inter₂_eq_empty_iff Set.iInter₂_eq_empty_iff
-- classical
theorem sInter_eq_empty_iff {c : Set (Set α)} : ⋂₀ c = ∅ ↔ ∀ a, ∃ b ∈ c, a ∉ b := by
simp [Set.eq_empty_iff_forall_not_mem]
#align set.sInter_eq_empty_iff Set.sInter_eq_empty_iff
-- classical
@[simp]
theorem nonempty_iInter {f : ι → Set α} : (⋂ i, f i).Nonempty ↔ ∃ x, ∀ i, x ∈ f i := by
simp [nonempty_iff_ne_empty, iInter_eq_empty_iff]
#align set.nonempty_Inter Set.nonempty_iInter
-- classical
-- Porting note (#10618): removing `simp`. `simp` can prove it
theorem nonempty_iInter₂ {s : ∀ i, κ i → Set α} :
(⋂ (i) (j), s i j).Nonempty ↔ ∃ a, ∀ i j, a ∈ s i j := by
simp
#align set.nonempty_Inter₂ Set.nonempty_iInter₂
-- classical
@[simp]
theorem nonempty_sInter {c : Set (Set α)} : (⋂₀ c).Nonempty ↔ ∃ a, ∀ b ∈ c, a ∈ b := by
simp [nonempty_iff_ne_empty, sInter_eq_empty_iff]
#align set.nonempty_sInter Set.nonempty_sInter
-- classical
theorem compl_sUnion (S : Set (Set α)) : (⋃₀S)ᶜ = ⋂₀ (compl '' S) :=
ext fun x => by simp
#align set.compl_sUnion Set.compl_sUnion
-- classical
theorem sUnion_eq_compl_sInter_compl (S : Set (Set α)) : ⋃₀S = (⋂₀ (compl '' S))ᶜ := by
rw [← compl_compl (⋃₀S), compl_sUnion]
#align set.sUnion_eq_compl_sInter_compl Set.sUnion_eq_compl_sInter_compl
-- classical
theorem compl_sInter (S : Set (Set α)) : (⋂₀ S)ᶜ = ⋃₀(compl '' S) := by
rw [sUnion_eq_compl_sInter_compl, compl_compl_image]
#align set.compl_sInter Set.compl_sInter
-- classical
theorem sInter_eq_compl_sUnion_compl (S : Set (Set α)) : ⋂₀ S = (⋃₀(compl '' S))ᶜ := by
rw [← compl_compl (⋂₀ S), compl_sInter]
#align set.sInter_eq_compl_sUnion_compl Set.sInter_eq_compl_sUnion_compl
theorem inter_empty_of_inter_sUnion_empty {s t : Set α} {S : Set (Set α)} (hs : t ∈ S)
(h : s ∩ ⋃₀S = ∅) : s ∩ t = ∅ :=
eq_empty_of_subset_empty <| by
rw [← h]; exact inter_subset_inter_right _ (subset_sUnion_of_mem hs)
#align set.inter_empty_of_inter_sUnion_empty Set.inter_empty_of_inter_sUnion_empty
theorem range_sigma_eq_iUnion_range {γ : α → Type*} (f : Sigma γ → β) :
range f = ⋃ a, range fun b => f ⟨a, b⟩ :=
Set.ext <| by simp
#align set.range_sigma_eq_Union_range Set.range_sigma_eq_iUnion_range
theorem iUnion_eq_range_sigma (s : α → Set β) : ⋃ i, s i = range fun a : Σi, s i => a.2 := by
simp [Set.ext_iff]
#align set.Union_eq_range_sigma Set.iUnion_eq_range_sigma
theorem iUnion_eq_range_psigma (s : ι → Set β) : ⋃ i, s i = range fun a : Σ'i, s i => a.2 := by
simp [Set.ext_iff]
#align set.Union_eq_range_psigma Set.iUnion_eq_range_psigma
theorem iUnion_image_preimage_sigma_mk_eq_self {ι : Type*} {σ : ι → Type*} (s : Set (Sigma σ)) :
⋃ i, Sigma.mk i '' (Sigma.mk i ⁻¹' s) = s := by
ext x
simp only [mem_iUnion, mem_image, mem_preimage]
constructor
· rintro ⟨i, a, h, rfl⟩
exact h
· intro h
cases' x with i a
exact ⟨i, a, h, rfl⟩
#align set.Union_image_preimage_sigma_mk_eq_self Set.iUnion_image_preimage_sigma_mk_eq_self
theorem Sigma.univ (X : α → Type*) : (Set.univ : Set (Σa, X a)) = ⋃ a, range (Sigma.mk a) :=
Set.ext fun x =>
iff_of_true trivial ⟨range (Sigma.mk x.1), Set.mem_range_self _, x.2, Sigma.eta x⟩
#align set.sigma.univ Set.Sigma.univ
alias sUnion_mono := sUnion_subset_sUnion
#align set.sUnion_mono Set.sUnion_mono
theorem iUnion_subset_iUnion_const {s : Set α} (h : ι → ι₂) : ⋃ _ : ι, s ⊆ ⋃ _ : ι₂, s :=
iSup_const_mono (α := Set α) h
#align set.Union_subset_Union_const Set.iUnion_subset_iUnion_const
@[simp]
theorem iUnion_singleton_eq_range {α β : Type*} (f : α → β) : ⋃ x : α, {f x} = range f := by
ext x
simp [@eq_comm _ x]
#align set.Union_singleton_eq_range Set.iUnion_singleton_eq_range
theorem iUnion_of_singleton (α : Type*) : (⋃ x, {x} : Set α) = univ := by simp [Set.ext_iff]
#align set.Union_of_singleton Set.iUnion_of_singleton
theorem iUnion_of_singleton_coe (s : Set α) : ⋃ i : s, ({(i : α)} : Set α) = s := by simp
#align set.Union_of_singleton_coe Set.iUnion_of_singleton_coe
theorem sUnion_eq_biUnion {s : Set (Set α)} : ⋃₀s = ⋃ (i : Set α) (_ : i ∈ s), i := by
rw [← sUnion_image, image_id']
#align set.sUnion_eq_bUnion Set.sUnion_eq_biUnion
theorem sInter_eq_biInter {s : Set (Set α)} : ⋂₀ s = ⋂ (i : Set α) (_ : i ∈ s), i := by
rw [← sInter_image, image_id']
#align set.sInter_eq_bInter Set.sInter_eq_biInter
theorem sUnion_eq_iUnion {s : Set (Set α)} : ⋃₀s = ⋃ i : s, i := by
simp only [← sUnion_range, Subtype.range_coe]
#align set.sUnion_eq_Union Set.sUnion_eq_iUnion
theorem sInter_eq_iInter {s : Set (Set α)} : ⋂₀ s = ⋂ i : s, i := by
simp only [← sInter_range, Subtype.range_coe]
#align set.sInter_eq_Inter Set.sInter_eq_iInter
@[simp]
theorem iUnion_of_empty [IsEmpty ι] (s : ι → Set α) : ⋃ i, s i = ∅ :=
iSup_of_empty _
#align set.Union_of_empty Set.iUnion_of_empty
@[simp]
theorem iInter_of_empty [IsEmpty ι] (s : ι → Set α) : ⋂ i, s i = univ :=
iInf_of_empty _
#align set.Inter_of_empty Set.iInter_of_empty
theorem union_eq_iUnion {s₁ s₂ : Set α} : s₁ ∪ s₂ = ⋃ b : Bool, cond b s₁ s₂ :=
sup_eq_iSup s₁ s₂
#align set.union_eq_Union Set.union_eq_iUnion
theorem inter_eq_iInter {s₁ s₂ : Set α} : s₁ ∩ s₂ = ⋂ b : Bool, cond b s₁ s₂ :=
inf_eq_iInf s₁ s₂
#align set.inter_eq_Inter Set.inter_eq_iInter
theorem sInter_union_sInter {S T : Set (Set α)} :
⋂₀ S ∪ ⋂₀ T = ⋂ p ∈ S ×ˢ T, (p : Set α × Set α).1 ∪ p.2 :=
sInf_sup_sInf
#align set.sInter_union_sInter Set.sInter_union_sInter
theorem sUnion_inter_sUnion {s t : Set (Set α)} :
⋃₀s ∩ ⋃₀t = ⋃ p ∈ s ×ˢ t, (p : Set α × Set α).1 ∩ p.2 :=
sSup_inf_sSup
#align set.sUnion_inter_sUnion Set.sUnion_inter_sUnion
theorem biUnion_iUnion (s : ι → Set α) (t : α → Set β) :
⋃ x ∈ ⋃ i, s i, t x = ⋃ (i) (x ∈ s i), t x := by simp [@iUnion_comm _ ι]
#align set.bUnion_Union Set.biUnion_iUnion
theorem biInter_iUnion (s : ι → Set α) (t : α → Set β) :
⋂ x ∈ ⋃ i, s i, t x = ⋂ (i) (x ∈ s i), t x := by simp [@iInter_comm _ ι]
#align set.bInter_Union Set.biInter_iUnion
theorem sUnion_iUnion (s : ι → Set (Set α)) : ⋃₀⋃ i, s i = ⋃ i, ⋃₀s i := by
simp only [sUnion_eq_biUnion, biUnion_iUnion]
#align set.sUnion_Union Set.sUnion_iUnion
theorem sInter_iUnion (s : ι → Set (Set α)) : ⋂₀ ⋃ i, s i = ⋂ i, ⋂₀ s i := by
simp only [sInter_eq_biInter, biInter_iUnion]
#align set.sInter_Union Set.sInter_iUnion
theorem iUnion_range_eq_sUnion {α β : Type*} (C : Set (Set α)) {f : ∀ s : C, β → (s : Type _)}
(hf : ∀ s : C, Surjective (f s)) : ⋃ y : β, range (fun s : C => (f s y).val) = ⋃₀C := by
ext x; constructor
· rintro ⟨s, ⟨y, rfl⟩, ⟨s, hs⟩, rfl⟩
refine ⟨_, hs, ?_⟩
exact (f ⟨s, hs⟩ y).2
· rintro ⟨s, hs, hx⟩
cases' hf ⟨s, hs⟩ ⟨x, hx⟩ with y hy
refine ⟨_, ⟨y, rfl⟩, ⟨s, hs⟩, ?_⟩
exact congr_arg Subtype.val hy
#align set.Union_range_eq_sUnion Set.iUnion_range_eq_sUnion
theorem iUnion_range_eq_iUnion (C : ι → Set α) {f : ∀ x : ι, β → C x}
(hf : ∀ x : ι, Surjective (f x)) : ⋃ y : β, range (fun x : ι => (f x y).val) = ⋃ x, C x := by
ext x; rw [mem_iUnion, mem_iUnion]; constructor
· rintro ⟨y, i, rfl⟩
exact ⟨i, (f i y).2⟩
· rintro ⟨i, hx⟩
cases' hf i ⟨x, hx⟩ with y hy
exact ⟨y, i, congr_arg Subtype.val hy⟩
#align set.Union_range_eq_Union Set.iUnion_range_eq_iUnion
theorem union_distrib_iInter_left (s : ι → Set α) (t : Set α) : (t ∪ ⋂ i, s i) = ⋂ i, t ∪ s i :=
sup_iInf_eq _ _
#align set.union_distrib_Inter_left Set.union_distrib_iInter_left
theorem union_distrib_iInter₂_left (s : Set α) (t : ∀ i, κ i → Set α) :
(s ∪ ⋂ (i) (j), t i j) = ⋂ (i) (j), s ∪ t i j := by simp_rw [union_distrib_iInter_left]
#align set.union_distrib_Inter₂_left Set.union_distrib_iInter₂_left
theorem union_distrib_iInter_right (s : ι → Set α) (t : Set α) : (⋂ i, s i) ∪ t = ⋂ i, s i ∪ t :=
iInf_sup_eq _ _
#align set.union_distrib_Inter_right Set.union_distrib_iInter_right
theorem union_distrib_iInter₂_right (s : ∀ i, κ i → Set α) (t : Set α) :
(⋂ (i) (j), s i j) ∪ t = ⋂ (i) (j), s i j ∪ t := by simp_rw [union_distrib_iInter_right]
#align set.union_distrib_Inter₂_right Set.union_distrib_iInter₂_right
section Pi
variable {π : α → Type*}
theorem pi_def (i : Set α) (s : ∀ a, Set (π a)) : pi i s = ⋂ a ∈ i, eval a ⁻¹' s a := by
ext
simp
#align set.pi_def Set.pi_def
| Mathlib/Data/Set/Lattice.lean | 1,987 | 1,988 | theorem univ_pi_eq_iInter (t : ∀ i, Set (π i)) : pi univ t = ⋂ i, eval i ⁻¹' t i := by |
simp only [pi_def, iInter_true, mem_univ]
|
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.Deriv.Slope
import Mathlib.Analysis.NormedSpace.FiniteDimension
import Mathlib.MeasureTheory.Constructions.BorelSpace.ContinuousLinearMap
import Mathlib.MeasureTheory.Function.StronglyMeasurable.Basic
#align_import analysis.calculus.fderiv_measurable from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
set_option linter.uppercaseLean3 false -- A B D
noncomputable section
open Set Metric Asymptotics Filter ContinuousLinearMap MeasureTheory TopologicalSpace
open scoped Topology
section fderiv
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {f : E → F} (K : Set (E →L[𝕜] F))
section RightDeriv
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F]
variable {f : ℝ → F} (K : Set F)
namespace RightDerivMeasurableAux
def A (f : ℝ → F) (L : F) (r ε : ℝ) : Set ℝ :=
{ x | ∃ r' ∈ Ioc (r / 2) r, ∀ᵉ (y ∈ Icc x (x + r')) (z ∈ Icc x (x + r')),
‖f z - f y - (z - y) • L‖ ≤ ε * r }
#align right_deriv_measurable_aux.A RightDerivMeasurableAux.A
def B (f : ℝ → F) (K : Set F) (r s ε : ℝ) : Set ℝ :=
⋃ L ∈ K, A f L r ε ∩ A f L s ε
#align right_deriv_measurable_aux.B RightDerivMeasurableAux.B
def D (f : ℝ → F) (K : Set F) : Set ℝ :=
⋂ e : ℕ, ⋃ n : ℕ, ⋂ (p ≥ n) (q ≥ n), B f K ((1 / 2) ^ p) ((1 / 2) ^ q) ((1 / 2) ^ e)
#align right_deriv_measurable_aux.D RightDerivMeasurableAux.D
theorem A_mem_nhdsWithin_Ioi {L : F} {r ε x : ℝ} (hx : x ∈ A f L r ε) : A f L r ε ∈ 𝓝[>] x := by
rcases hx with ⟨r', rr', hr'⟩
rw [mem_nhdsWithin_Ioi_iff_exists_Ioo_subset]
obtain ⟨s, s_gt, s_lt⟩ : ∃ s : ℝ, r / 2 < s ∧ s < r' := exists_between rr'.1
have : s ∈ Ioc (r / 2) r := ⟨s_gt, le_of_lt (s_lt.trans_le rr'.2)⟩
refine ⟨x + r' - s, by simp only [mem_Ioi]; linarith, fun x' hx' => ⟨s, this, ?_⟩⟩
have A : Icc x' (x' + s) ⊆ Icc x (x + r') := by
apply Icc_subset_Icc hx'.1.le
linarith [hx'.2]
intro y hy z hz
exact hr' y (A hy) z (A hz)
#align right_deriv_measurable_aux.A_mem_nhds_within_Ioi RightDerivMeasurableAux.A_mem_nhdsWithin_Ioi
| Mathlib/Analysis/Calculus/FDeriv/Measurable.lean | 486 | 492 | theorem B_mem_nhdsWithin_Ioi {K : Set F} {r s ε x : ℝ} (hx : x ∈ B f K r s ε) :
B f K r s ε ∈ 𝓝[>] x := by |
obtain ⟨L, LK, hL₁, hL₂⟩ : ∃ L : F, L ∈ K ∧ x ∈ A f L r ε ∧ x ∈ A f L s ε := by
simpa only [B, mem_iUnion, mem_inter_iff, exists_prop] using hx
filter_upwards [A_mem_nhdsWithin_Ioi hL₁, A_mem_nhdsWithin_Ioi hL₂] with y hy₁ hy₂
simp only [B, mem_iUnion, mem_inter_iff, exists_prop]
exact ⟨L, LK, hy₁, hy₂⟩
|
import Mathlib.Algebra.BigOperators.Ring.List
import Mathlib.Data.Nat.Prime
import Mathlib.Data.List.Prime
import Mathlib.Data.List.Sort
import Mathlib.Data.List.Chain
#align_import data.nat.factors from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab"
open Bool Subtype
open Nat
namespace Nat
attribute [instance 0] instBEqNat
def factors : ℕ → List ℕ
| 0 => []
| 1 => []
| k + 2 =>
let m := minFac (k + 2)
m :: factors ((k + 2) / m)
decreasing_by show (k + 2) / m < (k + 2); exact factors_lemma
#align nat.factors Nat.factors
@[simp]
theorem factors_zero : factors 0 = [] := by rw [factors]
#align nat.factors_zero Nat.factors_zero
@[simp]
theorem factors_one : factors 1 = [] := by rw [factors]
#align nat.factors_one Nat.factors_one
@[simp]
theorem factors_two : factors 2 = [2] := by simp [factors]
theorem prime_of_mem_factors {n : ℕ} : ∀ {p : ℕ}, (h : p ∈ factors n) → Prime p := by
match n with
| 0 => simp
| 1 => simp
| k + 2 =>
intro p h
let m := minFac (k + 2)
have : (k + 2) / m < (k + 2) := factors_lemma
have h₁ : p = m ∨ p ∈ factors ((k + 2) / m) :=
List.mem_cons.1 (by rwa [factors] at h)
exact Or.casesOn h₁ (fun h₂ => h₂.symm ▸ minFac_prime (by simp)) prime_of_mem_factors
#align nat.prime_of_mem_factors Nat.prime_of_mem_factors
theorem pos_of_mem_factors {n p : ℕ} (h : p ∈ factors n) : 0 < p :=
Prime.pos (prime_of_mem_factors h)
#align nat.pos_of_mem_factors Nat.pos_of_mem_factors
theorem prod_factors : ∀ {n}, n ≠ 0 → List.prod (factors n) = n
| 0 => by simp
| 1 => by simp
| k + 2 => fun _ =>
let m := minFac (k + 2)
have : (k + 2) / m < (k + 2) := factors_lemma
show (factors (k + 2)).prod = (k + 2) by
have h₁ : (k + 2) / m ≠ 0 := fun h => by
have : (k + 2) = 0 * m := (Nat.div_eq_iff_eq_mul_left (minFac_pos _) (minFac_dvd _)).1 h
rw [zero_mul] at this; exact (show k + 2 ≠ 0 by simp) this
rw [factors, List.prod_cons, prod_factors h₁, Nat.mul_div_cancel' (minFac_dvd _)]
#align nat.prod_factors Nat.prod_factors
theorem factors_prime {p : ℕ} (hp : Nat.Prime p) : p.factors = [p] := by
have : p = p - 2 + 2 := (tsub_eq_iff_eq_add_of_le hp.two_le).mp rfl
rw [this, Nat.factors]
simp only [Eq.symm this]
have : Nat.minFac p = p := (Nat.prime_def_minFac.mp hp).2
simp only [this, Nat.factors, Nat.div_self (Nat.Prime.pos hp)]
#align nat.factors_prime Nat.factors_prime
theorem factors_chain {n : ℕ} :
∀ {a}, (∀ p, Prime p → p ∣ n → a ≤ p) → List.Chain (· ≤ ·) a (factors n) := by
match n with
| 0 => simp
| 1 => simp
| k + 2 =>
intro a h
let m := minFac (k + 2)
have : (k + 2) / m < (k + 2) := factors_lemma
rw [factors]
refine List.Chain.cons ((le_minFac.2 h).resolve_left (by simp)) (factors_chain ?_)
exact fun p pp d => minFac_le_of_dvd pp.two_le (d.trans <| div_dvd_of_dvd <| minFac_dvd _)
#align nat.factors_chain Nat.factors_chain
theorem factors_chain_2 (n) : List.Chain (· ≤ ·) 2 (factors n) :=
factors_chain fun _ pp _ => pp.two_le
#align nat.factors_chain_2 Nat.factors_chain_2
theorem factors_chain' (n) : List.Chain' (· ≤ ·) (factors n) :=
@List.Chain'.tail _ _ (_ :: _) (factors_chain_2 _)
#align nat.factors_chain' Nat.factors_chain'
theorem factors_sorted (n : ℕ) : List.Sorted (· ≤ ·) (factors n) :=
List.chain'_iff_pairwise.1 (factors_chain' _)
#align nat.factors_sorted Nat.factors_sorted
theorem factors_add_two (n : ℕ) :
factors (n + 2) = minFac (n + 2) :: factors ((n + 2) / minFac (n + 2)) := by rw [factors]
#align nat.factors_add_two Nat.factors_add_two
@[simp]
theorem factors_eq_nil (n : ℕ) : n.factors = [] ↔ n = 0 ∨ n = 1 := by
constructor <;> intro h
· rcases n with (_ | _ | n)
· exact Or.inl rfl
· exact Or.inr rfl
· rw [factors] at h
injection h
· rcases h with (rfl | rfl)
· exact factors_zero
· exact factors_one
#align nat.factors_eq_nil Nat.factors_eq_nil
open scoped List in
theorem eq_of_perm_factors {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) (h : a.factors ~ b.factors) :
a = b := by simpa [prod_factors ha, prod_factors hb] using List.Perm.prod_eq h
#align nat.eq_of_perm_factors Nat.eq_of_perm_factors
section
open List
theorem mem_factors_iff_dvd {n p : ℕ} (hn : n ≠ 0) (hp : Prime p) : p ∈ factors n ↔ p ∣ n :=
⟨fun h => prod_factors hn ▸ List.dvd_prod h, fun h =>
mem_list_primes_of_dvd_prod (prime_iff.mp hp) (fun _ h => prime_iff.mp (prime_of_mem_factors h))
((prod_factors hn).symm ▸ h)⟩
#align nat.mem_factors_iff_dvd Nat.mem_factors_iff_dvd
theorem dvd_of_mem_factors {n p : ℕ} (h : p ∈ n.factors) : p ∣ n := by
rcases n.eq_zero_or_pos with (rfl | hn)
· exact dvd_zero p
· rwa [← mem_factors_iff_dvd hn.ne' (prime_of_mem_factors h)]
#align nat.dvd_of_mem_factors Nat.dvd_of_mem_factors
theorem mem_factors {n p} (hn : n ≠ 0) : p ∈ factors n ↔ Prime p ∧ p ∣ n :=
⟨fun h => ⟨prime_of_mem_factors h, dvd_of_mem_factors h⟩, fun ⟨hprime, hdvd⟩ =>
(mem_factors_iff_dvd hn hprime).mpr hdvd⟩
#align nat.mem_factors Nat.mem_factors
@[simp] lemma mem_factors' {n p} : p ∈ n.factors ↔ p.Prime ∧ p ∣ n ∧ n ≠ 0 := by
cases n <;> simp [mem_factors, *]
theorem le_of_mem_factors {n p : ℕ} (h : p ∈ n.factors) : p ≤ n := by
rcases n.eq_zero_or_pos with (rfl | hn)
· rw [factors_zero] at h
cases h
· exact le_of_dvd hn (dvd_of_mem_factors h)
#align nat.le_of_mem_factors Nat.le_of_mem_factors
theorem factors_unique {n : ℕ} {l : List ℕ} (h₁ : prod l = n) (h₂ : ∀ p ∈ l, Prime p) :
l ~ factors n := by
refine perm_of_prod_eq_prod ?_ ?_ ?_
· rw [h₁]
refine (prod_factors ?_).symm
rintro rfl
rw [prod_eq_zero_iff] at h₁
exact Prime.ne_zero (h₂ 0 h₁) rfl
· simp_rw [← prime_iff]
exact h₂
· simp_rw [← prime_iff]
exact fun p => prime_of_mem_factors
#align nat.factors_unique Nat.factors_unique
| Mathlib/Data/Nat/Factors.lean | 188 | 194 | theorem Prime.factors_pow {p : ℕ} (hp : p.Prime) (n : ℕ) :
(p ^ n).factors = List.replicate n p := by |
symm
rw [← List.replicate_perm]
apply Nat.factors_unique (List.prod_replicate n p)
intro q hq
rwa [eq_of_mem_replicate hq]
|
import Mathlib.Data.DFinsupp.Interval
import Mathlib.Data.DFinsupp.Multiset
import Mathlib.Order.Interval.Finset.Nat
#align_import data.multiset.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29"
open Finset DFinsupp Function
open Pointwise
variable {α : Type*}
namespace Multiset
variable [DecidableEq α] (s t : Multiset α)
instance instLocallyFiniteOrder : LocallyFiniteOrder (Multiset α) :=
LocallyFiniteOrder.ofIcc (Multiset α)
(fun s t => (Finset.Icc (toDFinsupp s) (toDFinsupp t)).map
Multiset.equivDFinsupp.toEquiv.symm.toEmbedding)
fun s t x => by simp
theorem Icc_eq :
Finset.Icc s t = (Finset.Icc (toDFinsupp s) (toDFinsupp t)).map
Multiset.equivDFinsupp.toEquiv.symm.toEmbedding :=
rfl
#align multiset.Icc_eq Multiset.Icc_eq
theorem uIcc_eq :
uIcc s t =
(uIcc (toDFinsupp s) (toDFinsupp t)).map Multiset.equivDFinsupp.toEquiv.symm.toEmbedding :=
(Icc_eq _ _).trans <| by simp [uIcc]
#align multiset.uIcc_eq Multiset.uIcc_eq
theorem card_Icc :
(Finset.Icc s t).card = ∏ i ∈ s.toFinset ∪ t.toFinset, (t.count i + 1 - s.count i) := by
simp_rw [Icc_eq, Finset.card_map, DFinsupp.card_Icc, Nat.card_Icc, Multiset.toDFinsupp_apply,
toDFinsupp_support]
#align multiset.card_Icc Multiset.card_Icc
theorem card_Ico :
(Finset.Ico s t).card = ∏ i ∈ s.toFinset ∪ t.toFinset, (t.count i + 1 - s.count i) - 1 := by
rw [Finset.card_Ico_eq_card_Icc_sub_one, card_Icc]
#align multiset.card_Ico Multiset.card_Ico
theorem card_Ioc :
(Finset.Ioc s t).card = ∏ i ∈ s.toFinset ∪ t.toFinset, (t.count i + 1 - s.count i) - 1 := by
rw [Finset.card_Ioc_eq_card_Icc_sub_one, card_Icc]
#align multiset.card_Ioc Multiset.card_Ioc
| Mathlib/Data/Multiset/Interval.lean | 72 | 74 | theorem card_Ioo :
(Finset.Ioo s t).card = ∏ i ∈ s.toFinset ∪ t.toFinset, (t.count i + 1 - s.count i) - 2 := by |
rw [Finset.card_Ioo_eq_card_Icc_sub_two, card_Icc]
|
import Mathlib.Topology.Maps
import Mathlib.Topology.NhdsSet
#align_import topology.constructions from "leanprover-community/mathlib"@"f7ebde7ee0d1505dfccac8644ae12371aa3c1c9f"
noncomputable section
open scoped Classical
open Topology TopologicalSpace Set Filter Function
universe u v
variable {X : Type u} {Y : Type v} {Z W ε ζ : Type*}
section Constructions
instance instTopologicalSpaceSubtype {p : X → Prop} [t : TopologicalSpace X] :
TopologicalSpace (Subtype p) :=
induced (↑) t
instance {r : X → X → Prop} [t : TopologicalSpace X] : TopologicalSpace (Quot r) :=
coinduced (Quot.mk r) t
instance instTopologicalSpaceQuotient {s : Setoid X} [t : TopologicalSpace X] :
TopologicalSpace (Quotient s) :=
coinduced Quotient.mk' t
instance instTopologicalSpaceProd [t₁ : TopologicalSpace X] [t₂ : TopologicalSpace Y] :
TopologicalSpace (X × Y) :=
induced Prod.fst t₁ ⊓ induced Prod.snd t₂
instance instTopologicalSpaceSum [t₁ : TopologicalSpace X] [t₂ : TopologicalSpace Y] :
TopologicalSpace (X ⊕ Y) :=
coinduced Sum.inl t₁ ⊔ coinduced Sum.inr t₂
instance instTopologicalSpaceSigma {ι : Type*} {X : ι → Type v} [t₂ : ∀ i, TopologicalSpace (X i)] :
TopologicalSpace (Sigma X) :=
⨆ i, coinduced (Sigma.mk i) (t₂ i)
instance Pi.topologicalSpace {ι : Type*} {Y : ι → Type v} [t₂ : (i : ι) → TopologicalSpace (Y i)] :
TopologicalSpace ((i : ι) → Y i) :=
⨅ i, induced (fun f => f i) (t₂ i)
#align Pi.topological_space Pi.topologicalSpace
instance ULift.topologicalSpace [t : TopologicalSpace X] : TopologicalSpace (ULift.{v, u} X) :=
t.induced ULift.down
#align ulift.topological_space ULift.topologicalSpace
section
variable [TopologicalSpace X]
open Additive Multiplicative
instance : TopologicalSpace (Additive X) := ‹TopologicalSpace X›
instance : TopologicalSpace (Multiplicative X) := ‹TopologicalSpace X›
instance [DiscreteTopology X] : DiscreteTopology (Additive X) := ‹DiscreteTopology X›
instance [DiscreteTopology X] : DiscreteTopology (Multiplicative X) := ‹DiscreteTopology X›
theorem continuous_ofMul : Continuous (ofMul : X → Additive X) := continuous_id
#align continuous_of_mul continuous_ofMul
theorem continuous_toMul : Continuous (toMul : Additive X → X) := continuous_id
#align continuous_to_mul continuous_toMul
theorem continuous_ofAdd : Continuous (ofAdd : X → Multiplicative X) := continuous_id
#align continuous_of_add continuous_ofAdd
theorem continuous_toAdd : Continuous (toAdd : Multiplicative X → X) := continuous_id
#align continuous_to_add continuous_toAdd
theorem isOpenMap_ofMul : IsOpenMap (ofMul : X → Additive X) := IsOpenMap.id
#align is_open_map_of_mul isOpenMap_ofMul
theorem isOpenMap_toMul : IsOpenMap (toMul : Additive X → X) := IsOpenMap.id
#align is_open_map_to_mul isOpenMap_toMul
theorem isOpenMap_ofAdd : IsOpenMap (ofAdd : X → Multiplicative X) := IsOpenMap.id
#align is_open_map_of_add isOpenMap_ofAdd
theorem isOpenMap_toAdd : IsOpenMap (toAdd : Multiplicative X → X) := IsOpenMap.id
#align is_open_map_to_add isOpenMap_toAdd
theorem isClosedMap_ofMul : IsClosedMap (ofMul : X → Additive X) := IsClosedMap.id
#align is_closed_map_of_mul isClosedMap_ofMul
theorem isClosedMap_toMul : IsClosedMap (toMul : Additive X → X) := IsClosedMap.id
#align is_closed_map_to_mul isClosedMap_toMul
theorem isClosedMap_ofAdd : IsClosedMap (ofAdd : X → Multiplicative X) := IsClosedMap.id
#align is_closed_map_of_add isClosedMap_ofAdd
theorem isClosedMap_toAdd : IsClosedMap (toAdd : Multiplicative X → X) := IsClosedMap.id
#align is_closed_map_to_add isClosedMap_toAdd
theorem nhds_ofMul (x : X) : 𝓝 (ofMul x) = map ofMul (𝓝 x) := rfl
#align nhds_of_mul nhds_ofMul
theorem nhds_ofAdd (x : X) : 𝓝 (ofAdd x) = map ofAdd (𝓝 x) := rfl
#align nhds_of_add nhds_ofAdd
theorem nhds_toMul (x : Additive X) : 𝓝 (toMul x) = map toMul (𝓝 x) := rfl
#align nhds_to_mul nhds_toMul
theorem nhds_toAdd (x : Multiplicative X) : 𝓝 (toAdd x) = map toAdd (𝓝 x) := rfl
#align nhds_to_add nhds_toAdd
end
section
variable [TopologicalSpace X]
open OrderDual
instance : TopologicalSpace Xᵒᵈ := ‹TopologicalSpace X›
instance [DiscreteTopology X] : DiscreteTopology Xᵒᵈ := ‹DiscreteTopology X›
theorem continuous_toDual : Continuous (toDual : X → Xᵒᵈ) := continuous_id
#align continuous_to_dual continuous_toDual
theorem continuous_ofDual : Continuous (ofDual : Xᵒᵈ → X) := continuous_id
#align continuous_of_dual continuous_ofDual
theorem isOpenMap_toDual : IsOpenMap (toDual : X → Xᵒᵈ) := IsOpenMap.id
#align is_open_map_to_dual isOpenMap_toDual
theorem isOpenMap_ofDual : IsOpenMap (ofDual : Xᵒᵈ → X) := IsOpenMap.id
#align is_open_map_of_dual isOpenMap_ofDual
theorem isClosedMap_toDual : IsClosedMap (toDual : X → Xᵒᵈ) := IsClosedMap.id
#align is_closed_map_to_dual isClosedMap_toDual
theorem isClosedMap_ofDual : IsClosedMap (ofDual : Xᵒᵈ → X) := IsClosedMap.id
#align is_closed_map_of_dual isClosedMap_ofDual
theorem nhds_toDual (x : X) : 𝓝 (toDual x) = map toDual (𝓝 x) := rfl
#align nhds_to_dual nhds_toDual
theorem nhds_ofDual (x : X) : 𝓝 (ofDual x) = map ofDual (𝓝 x) := rfl
#align nhds_of_dual nhds_ofDual
end
theorem Quotient.preimage_mem_nhds [TopologicalSpace X] [s : Setoid X] {V : Set <| Quotient s}
{x : X} (hs : V ∈ 𝓝 (Quotient.mk' x)) : Quotient.mk' ⁻¹' V ∈ 𝓝 x :=
preimage_nhds_coinduced hs
#align quotient.preimage_mem_nhds Quotient.preimage_mem_nhds
theorem Dense.quotient [Setoid X] [TopologicalSpace X] {s : Set X} (H : Dense s) :
Dense (Quotient.mk' '' s) :=
Quotient.surjective_Quotient_mk''.denseRange.dense_image continuous_coinduced_rng H
#align dense.quotient Dense.quotient
theorem DenseRange.quotient [Setoid X] [TopologicalSpace X] {f : Y → X} (hf : DenseRange f) :
DenseRange (Quotient.mk' ∘ f) :=
Quotient.surjective_Quotient_mk''.denseRange.comp hf continuous_coinduced_rng
#align dense_range.quotient DenseRange.quotient
theorem continuous_map_of_le {α : Type*} [TopologicalSpace α]
{s t : Setoid α} (h : s ≤ t) : Continuous (Setoid.map_of_le h) :=
continuous_coinduced_rng
theorem continuous_map_sInf {α : Type*} [TopologicalSpace α]
{S : Set (Setoid α)} {s : Setoid α} (h : s ∈ S) : Continuous (Setoid.map_sInf h) :=
continuous_coinduced_rng
instance {p : X → Prop} [TopologicalSpace X] [DiscreteTopology X] : DiscreteTopology (Subtype p) :=
⟨bot_unique fun s _ => ⟨(↑) '' s, isOpen_discrete _, preimage_image_eq _ Subtype.val_injective⟩⟩
instance Sum.discreteTopology [TopologicalSpace X] [TopologicalSpace Y] [h : DiscreteTopology X]
[hY : DiscreteTopology Y] : DiscreteTopology (X ⊕ Y) :=
⟨sup_eq_bot_iff.2 <| by simp [h.eq_bot, hY.eq_bot]⟩
#align sum.discrete_topology Sum.discreteTopology
instance Sigma.discreteTopology {ι : Type*} {Y : ι → Type v} [∀ i, TopologicalSpace (Y i)]
[h : ∀ i, DiscreteTopology (Y i)] : DiscreteTopology (Sigma Y) :=
⟨iSup_eq_bot.2 fun _ => by simp only [(h _).eq_bot, coinduced_bot]⟩
#align sigma.discrete_topology Sigma.discreteTopology
def CofiniteTopology (X : Type*) := X
#align cofinite_topology CofiniteTopology
section Prod
variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] [TopologicalSpace W]
[TopologicalSpace ε] [TopologicalSpace ζ]
-- Porting note (#11215): TODO: Lean 4 fails to deduce implicit args
@[simp] theorem continuous_prod_mk {f : X → Y} {g : X → Z} :
(Continuous fun x => (f x, g x)) ↔ Continuous f ∧ Continuous g :=
(@continuous_inf_rng X (Y × Z) _ _ (TopologicalSpace.induced Prod.fst _)
(TopologicalSpace.induced Prod.snd _)).trans <|
continuous_induced_rng.and continuous_induced_rng
#align continuous_prod_mk continuous_prod_mk
@[continuity]
theorem continuous_fst : Continuous (@Prod.fst X Y) :=
(continuous_prod_mk.1 continuous_id).1
#align continuous_fst continuous_fst
@[fun_prop]
theorem Continuous.fst {f : X → Y × Z} (hf : Continuous f) : Continuous fun x : X => (f x).1 :=
continuous_fst.comp hf
#align continuous.fst Continuous.fst
theorem Continuous.fst' {f : X → Z} (hf : Continuous f) : Continuous fun x : X × Y => f x.fst :=
hf.comp continuous_fst
#align continuous.fst' Continuous.fst'
theorem continuousAt_fst {p : X × Y} : ContinuousAt Prod.fst p :=
continuous_fst.continuousAt
#align continuous_at_fst continuousAt_fst
@[fun_prop]
theorem ContinuousAt.fst {f : X → Y × Z} {x : X} (hf : ContinuousAt f x) :
ContinuousAt (fun x : X => (f x).1) x :=
continuousAt_fst.comp hf
#align continuous_at.fst ContinuousAt.fst
theorem ContinuousAt.fst' {f : X → Z} {x : X} {y : Y} (hf : ContinuousAt f x) :
ContinuousAt (fun x : X × Y => f x.fst) (x, y) :=
ContinuousAt.comp hf continuousAt_fst
#align continuous_at.fst' ContinuousAt.fst'
theorem ContinuousAt.fst'' {f : X → Z} {x : X × Y} (hf : ContinuousAt f x.fst) :
ContinuousAt (fun x : X × Y => f x.fst) x :=
hf.comp continuousAt_fst
#align continuous_at.fst'' ContinuousAt.fst''
theorem Filter.Tendsto.fst_nhds {l : Filter X} {f : X → Y × Z} {p : Y × Z}
(h : Tendsto f l (𝓝 p)) : Tendsto (fun a ↦ (f a).1) l (𝓝 <| p.1) :=
continuousAt_fst.tendsto.comp h
@[continuity]
theorem continuous_snd : Continuous (@Prod.snd X Y) :=
(continuous_prod_mk.1 continuous_id).2
#align continuous_snd continuous_snd
@[fun_prop]
theorem Continuous.snd {f : X → Y × Z} (hf : Continuous f) : Continuous fun x : X => (f x).2 :=
continuous_snd.comp hf
#align continuous.snd Continuous.snd
theorem Continuous.snd' {f : Y → Z} (hf : Continuous f) : Continuous fun x : X × Y => f x.snd :=
hf.comp continuous_snd
#align continuous.snd' Continuous.snd'
theorem continuousAt_snd {p : X × Y} : ContinuousAt Prod.snd p :=
continuous_snd.continuousAt
#align continuous_at_snd continuousAt_snd
@[fun_prop]
theorem ContinuousAt.snd {f : X → Y × Z} {x : X} (hf : ContinuousAt f x) :
ContinuousAt (fun x : X => (f x).2) x :=
continuousAt_snd.comp hf
#align continuous_at.snd ContinuousAt.snd
theorem ContinuousAt.snd' {f : Y → Z} {x : X} {y : Y} (hf : ContinuousAt f y) :
ContinuousAt (fun x : X × Y => f x.snd) (x, y) :=
ContinuousAt.comp hf continuousAt_snd
#align continuous_at.snd' ContinuousAt.snd'
theorem ContinuousAt.snd'' {f : Y → Z} {x : X × Y} (hf : ContinuousAt f x.snd) :
ContinuousAt (fun x : X × Y => f x.snd) x :=
hf.comp continuousAt_snd
#align continuous_at.snd'' ContinuousAt.snd''
theorem Filter.Tendsto.snd_nhds {l : Filter X} {f : X → Y × Z} {p : Y × Z}
(h : Tendsto f l (𝓝 p)) : Tendsto (fun a ↦ (f a).2) l (𝓝 <| p.2) :=
continuousAt_snd.tendsto.comp h
@[continuity, fun_prop]
theorem Continuous.prod_mk {f : Z → X} {g : Z → Y} (hf : Continuous f) (hg : Continuous g) :
Continuous fun x => (f x, g x) :=
continuous_prod_mk.2 ⟨hf, hg⟩
#align continuous.prod_mk Continuous.prod_mk
@[continuity]
theorem Continuous.Prod.mk (x : X) : Continuous fun y : Y => (x, y) :=
continuous_const.prod_mk continuous_id
#align continuous.prod.mk Continuous.Prod.mk
@[continuity]
theorem Continuous.Prod.mk_left (y : Y) : Continuous fun x : X => (x, y) :=
continuous_id.prod_mk continuous_const
#align continuous.prod.mk_left Continuous.Prod.mk_left
lemma IsClosed.setOf_mapsTo {α : Type*} {f : X → α → Z} {s : Set α} {t : Set Z} (ht : IsClosed t)
(hf : ∀ a ∈ s, Continuous (f · a)) : IsClosed {x | MapsTo (f x) s t} := by
simpa only [MapsTo, setOf_forall] using isClosed_biInter fun y hy ↦ ht.preimage (hf y hy)
theorem Continuous.comp₂ {g : X × Y → Z} (hg : Continuous g) {e : W → X} (he : Continuous e)
{f : W → Y} (hf : Continuous f) : Continuous fun w => g (e w, f w) :=
hg.comp <| he.prod_mk hf
#align continuous.comp₂ Continuous.comp₂
theorem Continuous.comp₃ {g : X × Y × Z → ε} (hg : Continuous g) {e : W → X} (he : Continuous e)
{f : W → Y} (hf : Continuous f) {k : W → Z} (hk : Continuous k) :
Continuous fun w => g (e w, f w, k w) :=
hg.comp₂ he <| hf.prod_mk hk
#align continuous.comp₃ Continuous.comp₃
theorem Continuous.comp₄ {g : X × Y × Z × ζ → ε} (hg : Continuous g) {e : W → X} (he : Continuous e)
{f : W → Y} (hf : Continuous f) {k : W → Z} (hk : Continuous k) {l : W → ζ}
(hl : Continuous l) : Continuous fun w => g (e w, f w, k w, l w) :=
hg.comp₃ he hf <| hk.prod_mk hl
#align continuous.comp₄ Continuous.comp₄
@[continuity]
theorem Continuous.prod_map {f : Z → X} {g : W → Y} (hf : Continuous f) (hg : Continuous g) :
Continuous fun p : Z × W => (f p.1, g p.2) :=
hf.fst'.prod_mk hg.snd'
#align continuous.prod_map Continuous.prod_map
theorem continuous_inf_dom_left₂ {X Y Z} {f : X → Y → Z} {ta1 ta2 : TopologicalSpace X}
{tb1 tb2 : TopologicalSpace Y} {tc1 : TopologicalSpace Z}
(h : by haveI := ta1; haveI := tb1; exact Continuous fun p : X × Y => f p.1 p.2) : by
haveI := ta1 ⊓ ta2; haveI := tb1 ⊓ tb2; exact Continuous fun p : X × Y => f p.1 p.2 := by
have ha := @continuous_inf_dom_left _ _ id ta1 ta2 ta1 (@continuous_id _ (id _))
have hb := @continuous_inf_dom_left _ _ id tb1 tb2 tb1 (@continuous_id _ (id _))
have h_continuous_id := @Continuous.prod_map _ _ _ _ ta1 tb1 (ta1 ⊓ ta2) (tb1 ⊓ tb2) _ _ ha hb
exact @Continuous.comp _ _ _ (id _) (id _) _ _ _ h h_continuous_id
#align continuous_inf_dom_left₂ continuous_inf_dom_left₂
theorem continuous_inf_dom_right₂ {X Y Z} {f : X → Y → Z} {ta1 ta2 : TopologicalSpace X}
{tb1 tb2 : TopologicalSpace Y} {tc1 : TopologicalSpace Z}
(h : by haveI := ta2; haveI := tb2; exact Continuous fun p : X × Y => f p.1 p.2) : by
haveI := ta1 ⊓ ta2; haveI := tb1 ⊓ tb2; exact Continuous fun p : X × Y => f p.1 p.2 := by
have ha := @continuous_inf_dom_right _ _ id ta1 ta2 ta2 (@continuous_id _ (id _))
have hb := @continuous_inf_dom_right _ _ id tb1 tb2 tb2 (@continuous_id _ (id _))
have h_continuous_id := @Continuous.prod_map _ _ _ _ ta2 tb2 (ta1 ⊓ ta2) (tb1 ⊓ tb2) _ _ ha hb
exact @Continuous.comp _ _ _ (id _) (id _) _ _ _ h h_continuous_id
#align continuous_inf_dom_right₂ continuous_inf_dom_right₂
theorem continuous_sInf_dom₂ {X Y Z} {f : X → Y → Z} {tas : Set (TopologicalSpace X)}
{tbs : Set (TopologicalSpace Y)} {tX : TopologicalSpace X} {tY : TopologicalSpace Y}
{tc : TopologicalSpace Z} (hX : tX ∈ tas) (hY : tY ∈ tbs)
(hf : Continuous fun p : X × Y => f p.1 p.2) : by
haveI := sInf tas; haveI := sInf tbs;
exact @Continuous _ _ _ tc fun p : X × Y => f p.1 p.2 := by
have hX := continuous_sInf_dom hX continuous_id
have hY := continuous_sInf_dom hY continuous_id
have h_continuous_id := @Continuous.prod_map _ _ _ _ tX tY (sInf tas) (sInf tbs) _ _ hX hY
exact @Continuous.comp _ _ _ (id _) (id _) _ _ _ hf h_continuous_id
#align continuous_Inf_dom₂ continuous_sInf_dom₂
theorem Filter.Eventually.prod_inl_nhds {p : X → Prop} {x : X} (h : ∀ᶠ x in 𝓝 x, p x) (y : Y) :
∀ᶠ x in 𝓝 (x, y), p (x : X × Y).1 :=
continuousAt_fst h
#align filter.eventually.prod_inl_nhds Filter.Eventually.prod_inl_nhds
theorem Filter.Eventually.prod_inr_nhds {p : Y → Prop} {y : Y} (h : ∀ᶠ x in 𝓝 y, p x) (x : X) :
∀ᶠ x in 𝓝 (x, y), p (x : X × Y).2 :=
continuousAt_snd h
#align filter.eventually.prod_inr_nhds Filter.Eventually.prod_inr_nhds
theorem Filter.Eventually.prod_mk_nhds {px : X → Prop} {x} (hx : ∀ᶠ x in 𝓝 x, px x) {py : Y → Prop}
{y} (hy : ∀ᶠ y in 𝓝 y, py y) : ∀ᶠ p in 𝓝 (x, y), px (p : X × Y).1 ∧ py p.2 :=
(hx.prod_inl_nhds y).and (hy.prod_inr_nhds x)
#align filter.eventually.prod_mk_nhds Filter.Eventually.prod_mk_nhds
theorem continuous_swap : Continuous (Prod.swap : X × Y → Y × X) :=
continuous_snd.prod_mk continuous_fst
#align continuous_swap continuous_swap
lemma isClosedMap_swap : IsClosedMap (Prod.swap : X × Y → Y × X) := fun s hs ↦ by
rw [image_swap_eq_preimage_swap]
exact hs.preimage continuous_swap
theorem Continuous.uncurry_left {f : X → Y → Z} (x : X) (h : Continuous (uncurry f)) :
Continuous (f x) :=
h.comp (Continuous.Prod.mk _)
#align continuous_uncurry_left Continuous.uncurry_left
theorem Continuous.uncurry_right {f : X → Y → Z} (y : Y) (h : Continuous (uncurry f)) :
Continuous fun a => f a y :=
h.comp (Continuous.Prod.mk_left _)
#align continuous_uncurry_right Continuous.uncurry_right
-- 2024-03-09
@[deprecated] alias continuous_uncurry_left := Continuous.uncurry_left
@[deprecated] alias continuous_uncurry_right := Continuous.uncurry_right
theorem continuous_curry {g : X × Y → Z} (x : X) (h : Continuous g) : Continuous (curry g x) :=
Continuous.uncurry_left x h
#align continuous_curry continuous_curry
theorem IsOpen.prod {s : Set X} {t : Set Y} (hs : IsOpen s) (ht : IsOpen t) : IsOpen (s ×ˢ t) :=
(hs.preimage continuous_fst).inter (ht.preimage continuous_snd)
#align is_open.prod IsOpen.prod
-- Porting note (#11215): TODO: Lean fails to find `t₁` and `t₂` by unification
theorem nhds_prod_eq {x : X} {y : Y} : 𝓝 (x, y) = 𝓝 x ×ˢ 𝓝 y := by
dsimp only [SProd.sprod]
rw [Filter.prod, instTopologicalSpaceProd, nhds_inf (t₁ := TopologicalSpace.induced Prod.fst _)
(t₂ := TopologicalSpace.induced Prod.snd _), nhds_induced, nhds_induced]
#align nhds_prod_eq nhds_prod_eq
-- Porting note: moved from `Topology.ContinuousOn`
| Mathlib/Topology/Constructions.lean | 556 | 558 | theorem nhdsWithin_prod_eq (x : X) (y : Y) (s : Set X) (t : Set Y) :
𝓝[s ×ˢ t] (x, y) = 𝓝[s] x ×ˢ 𝓝[t] y := by |
simp only [nhdsWithin, nhds_prod_eq, ← prod_inf_prod, prod_principal_principal]
|
import Mathlib.Algebra.GroupWithZero.Indicator
import Mathlib.Topology.ContinuousOn
import Mathlib.Topology.Instances.ENNReal
#align_import topology.semicontinuous from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology ENNReal
open Set Function Filter
variable {α : Type*} [TopologicalSpace α] {β : Type*} [Preorder β] {f g : α → β} {x : α}
{s t : Set α} {y z : β}
def LowerSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) :=
∀ y < f x, ∀ᶠ x' in 𝓝[s] x, y < f x'
#align lower_semicontinuous_within_at LowerSemicontinuousWithinAt
def LowerSemicontinuousOn (f : α → β) (s : Set α) :=
∀ x ∈ s, LowerSemicontinuousWithinAt f s x
#align lower_semicontinuous_on LowerSemicontinuousOn
def LowerSemicontinuousAt (f : α → β) (x : α) :=
∀ y < f x, ∀ᶠ x' in 𝓝 x, y < f x'
#align lower_semicontinuous_at LowerSemicontinuousAt
def LowerSemicontinuous (f : α → β) :=
∀ x, LowerSemicontinuousAt f x
#align lower_semicontinuous LowerSemicontinuous
def UpperSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) :=
∀ y, f x < y → ∀ᶠ x' in 𝓝[s] x, f x' < y
#align upper_semicontinuous_within_at UpperSemicontinuousWithinAt
def UpperSemicontinuousOn (f : α → β) (s : Set α) :=
∀ x ∈ s, UpperSemicontinuousWithinAt f s x
#align upper_semicontinuous_on UpperSemicontinuousOn
def UpperSemicontinuousAt (f : α → β) (x : α) :=
∀ y, f x < y → ∀ᶠ x' in 𝓝 x, f x' < y
#align upper_semicontinuous_at UpperSemicontinuousAt
def UpperSemicontinuous (f : α → β) :=
∀ x, UpperSemicontinuousAt f x
#align upper_semicontinuous UpperSemicontinuous
theorem LowerSemicontinuousWithinAt.mono (h : LowerSemicontinuousWithinAt f s x) (hst : t ⊆ s) :
LowerSemicontinuousWithinAt f t x := fun y hy =>
Filter.Eventually.filter_mono (nhdsWithin_mono _ hst) (h y hy)
#align lower_semicontinuous_within_at.mono LowerSemicontinuousWithinAt.mono
theorem lowerSemicontinuousWithinAt_univ_iff :
LowerSemicontinuousWithinAt f univ x ↔ LowerSemicontinuousAt f x := by
simp [LowerSemicontinuousWithinAt, LowerSemicontinuousAt, nhdsWithin_univ]
#align lower_semicontinuous_within_at_univ_iff lowerSemicontinuousWithinAt_univ_iff
theorem LowerSemicontinuousAt.lowerSemicontinuousWithinAt (s : Set α)
(h : LowerSemicontinuousAt f x) : LowerSemicontinuousWithinAt f s x := fun y hy =>
Filter.Eventually.filter_mono nhdsWithin_le_nhds (h y hy)
#align lower_semicontinuous_at.lower_semicontinuous_within_at LowerSemicontinuousAt.lowerSemicontinuousWithinAt
theorem LowerSemicontinuousOn.lowerSemicontinuousWithinAt (h : LowerSemicontinuousOn f s)
(hx : x ∈ s) : LowerSemicontinuousWithinAt f s x :=
h x hx
#align lower_semicontinuous_on.lower_semicontinuous_within_at LowerSemicontinuousOn.lowerSemicontinuousWithinAt
theorem LowerSemicontinuousOn.mono (h : LowerSemicontinuousOn f s) (hst : t ⊆ s) :
LowerSemicontinuousOn f t := fun x hx => (h x (hst hx)).mono hst
#align lower_semicontinuous_on.mono LowerSemicontinuousOn.mono
theorem lowerSemicontinuousOn_univ_iff : LowerSemicontinuousOn f univ ↔ LowerSemicontinuous f := by
simp [LowerSemicontinuousOn, LowerSemicontinuous, lowerSemicontinuousWithinAt_univ_iff]
#align lower_semicontinuous_on_univ_iff lowerSemicontinuousOn_univ_iff
theorem LowerSemicontinuous.lowerSemicontinuousAt (h : LowerSemicontinuous f) (x : α) :
LowerSemicontinuousAt f x :=
h x
#align lower_semicontinuous.lower_semicontinuous_at LowerSemicontinuous.lowerSemicontinuousAt
theorem LowerSemicontinuous.lowerSemicontinuousWithinAt (h : LowerSemicontinuous f) (s : Set α)
(x : α) : LowerSemicontinuousWithinAt f s x :=
(h x).lowerSemicontinuousWithinAt s
#align lower_semicontinuous.lower_semicontinuous_within_at LowerSemicontinuous.lowerSemicontinuousWithinAt
theorem LowerSemicontinuous.lowerSemicontinuousOn (h : LowerSemicontinuous f) (s : Set α) :
LowerSemicontinuousOn f s := fun x _hx => h.lowerSemicontinuousWithinAt s x
#align lower_semicontinuous.lower_semicontinuous_on LowerSemicontinuous.lowerSemicontinuousOn
theorem lowerSemicontinuousWithinAt_const : LowerSemicontinuousWithinAt (fun _x => z) s x :=
fun _y hy => Filter.eventually_of_forall fun _x => hy
#align lower_semicontinuous_within_at_const lowerSemicontinuousWithinAt_const
theorem lowerSemicontinuousAt_const : LowerSemicontinuousAt (fun _x => z) x := fun _y hy =>
Filter.eventually_of_forall fun _x => hy
#align lower_semicontinuous_at_const lowerSemicontinuousAt_const
theorem lowerSemicontinuousOn_const : LowerSemicontinuousOn (fun _x => z) s := fun _x _hx =>
lowerSemicontinuousWithinAt_const
#align lower_semicontinuous_on_const lowerSemicontinuousOn_const
theorem lowerSemicontinuous_const : LowerSemicontinuous fun _x : α => z := fun _x =>
lowerSemicontinuousAt_const
#align lower_semicontinuous_const lowerSemicontinuous_const
section
variable [Zero β]
theorem IsOpen.lowerSemicontinuous_indicator (hs : IsOpen s) (hy : 0 ≤ y) :
LowerSemicontinuous (indicator s fun _x => y) := by
intro x z hz
by_cases h : x ∈ s <;> simp [h] at hz
· filter_upwards [hs.mem_nhds h]
simp (config := { contextual := true }) [hz]
· refine Filter.eventually_of_forall fun x' => ?_
by_cases h' : x' ∈ s <;> simp [h', hz.trans_le hy, hz]
#align is_open.lower_semicontinuous_indicator IsOpen.lowerSemicontinuous_indicator
theorem IsOpen.lowerSemicontinuousOn_indicator (hs : IsOpen s) (hy : 0 ≤ y) :
LowerSemicontinuousOn (indicator s fun _x => y) t :=
(hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousOn t
#align is_open.lower_semicontinuous_on_indicator IsOpen.lowerSemicontinuousOn_indicator
theorem IsOpen.lowerSemicontinuousAt_indicator (hs : IsOpen s) (hy : 0 ≤ y) :
LowerSemicontinuousAt (indicator s fun _x => y) x :=
(hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousAt x
#align is_open.lower_semicontinuous_at_indicator IsOpen.lowerSemicontinuousAt_indicator
theorem IsOpen.lowerSemicontinuousWithinAt_indicator (hs : IsOpen s) (hy : 0 ≤ y) :
LowerSemicontinuousWithinAt (indicator s fun _x => y) t x :=
(hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousWithinAt t x
#align is_open.lower_semicontinuous_within_at_indicator IsOpen.lowerSemicontinuousWithinAt_indicator
theorem IsClosed.lowerSemicontinuous_indicator (hs : IsClosed s) (hy : y ≤ 0) :
LowerSemicontinuous (indicator s fun _x => y) := by
intro x z hz
by_cases h : x ∈ s <;> simp [h] at hz
· refine Filter.eventually_of_forall fun x' => ?_
by_cases h' : x' ∈ s <;> simp [h', hz, hz.trans_le hy]
· filter_upwards [hs.isOpen_compl.mem_nhds h]
simp (config := { contextual := true }) [hz]
#align is_closed.lower_semicontinuous_indicator IsClosed.lowerSemicontinuous_indicator
theorem IsClosed.lowerSemicontinuousOn_indicator (hs : IsClosed s) (hy : y ≤ 0) :
LowerSemicontinuousOn (indicator s fun _x => y) t :=
(hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousOn t
#align is_closed.lower_semicontinuous_on_indicator IsClosed.lowerSemicontinuousOn_indicator
theorem IsClosed.lowerSemicontinuousAt_indicator (hs : IsClosed s) (hy : y ≤ 0) :
LowerSemicontinuousAt (indicator s fun _x => y) x :=
(hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousAt x
#align is_closed.lower_semicontinuous_at_indicator IsClosed.lowerSemicontinuousAt_indicator
theorem IsClosed.lowerSemicontinuousWithinAt_indicator (hs : IsClosed s) (hy : y ≤ 0) :
LowerSemicontinuousWithinAt (indicator s fun _x => y) t x :=
(hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousWithinAt t x
#align is_closed.lower_semicontinuous_within_at_indicator IsClosed.lowerSemicontinuousWithinAt_indicator
end
theorem lowerSemicontinuous_iff_isOpen_preimage :
LowerSemicontinuous f ↔ ∀ y, IsOpen (f ⁻¹' Ioi y) :=
⟨fun H y => isOpen_iff_mem_nhds.2 fun x hx => H x y hx, fun H _x y y_lt =>
IsOpen.mem_nhds (H y) y_lt⟩
#align lower_semicontinuous_iff_is_open_preimage lowerSemicontinuous_iff_isOpen_preimage
theorem LowerSemicontinuous.isOpen_preimage (hf : LowerSemicontinuous f) (y : β) :
IsOpen (f ⁻¹' Ioi y) :=
lowerSemicontinuous_iff_isOpen_preimage.1 hf y
#align lower_semicontinuous.is_open_preimage LowerSemicontinuous.isOpen_preimage
section
variable {γ : Type*} [LinearOrder γ]
theorem lowerSemicontinuous_iff_isClosed_preimage {f : α → γ} :
LowerSemicontinuous f ↔ ∀ y, IsClosed (f ⁻¹' Iic y) := by
rw [lowerSemicontinuous_iff_isOpen_preimage]
simp only [← isOpen_compl_iff, ← preimage_compl, compl_Iic]
#align lower_semicontinuous_iff_is_closed_preimage lowerSemicontinuous_iff_isClosed_preimage
theorem LowerSemicontinuous.isClosed_preimage {f : α → γ} (hf : LowerSemicontinuous f) (y : γ) :
IsClosed (f ⁻¹' Iic y) :=
lowerSemicontinuous_iff_isClosed_preimage.1 hf y
#align lower_semicontinuous.is_closed_preimage LowerSemicontinuous.isClosed_preimage
variable [TopologicalSpace γ] [OrderTopology γ]
theorem ContinuousWithinAt.lowerSemicontinuousWithinAt {f : α → γ} (h : ContinuousWithinAt f s x) :
LowerSemicontinuousWithinAt f s x := fun _y hy => h (Ioi_mem_nhds hy)
#align continuous_within_at.lower_semicontinuous_within_at ContinuousWithinAt.lowerSemicontinuousWithinAt
theorem ContinuousAt.lowerSemicontinuousAt {f : α → γ} (h : ContinuousAt f x) :
LowerSemicontinuousAt f x := fun _y hy => h (Ioi_mem_nhds hy)
#align continuous_at.lower_semicontinuous_at ContinuousAt.lowerSemicontinuousAt
theorem ContinuousOn.lowerSemicontinuousOn {f : α → γ} (h : ContinuousOn f s) :
LowerSemicontinuousOn f s := fun x hx => (h x hx).lowerSemicontinuousWithinAt
#align continuous_on.lower_semicontinuous_on ContinuousOn.lowerSemicontinuousOn
theorem Continuous.lowerSemicontinuous {f : α → γ} (h : Continuous f) : LowerSemicontinuous f :=
fun _x => h.continuousAt.lowerSemicontinuousAt
#align continuous.lower_semicontinuous Continuous.lowerSemicontinuous
end
section
variable {γ : Type*} [CompleteLinearOrder γ] [DenselyOrdered γ]
theorem lowerSemicontinuousWithinAt_iff_le_liminf {f : α → γ} :
LowerSemicontinuousWithinAt f s x ↔ f x ≤ liminf f (𝓝[s] x) := by
constructor
· intro hf; unfold LowerSemicontinuousWithinAt at hf
contrapose! hf
obtain ⟨y, lty, ylt⟩ := exists_between hf; use y
exact ⟨ylt, fun h => lty.not_le
(le_liminf_of_le (by isBoundedDefault) (h.mono fun _ hx => le_of_lt hx))⟩
exact fun hf y ylt => eventually_lt_of_lt_liminf (ylt.trans_le hf)
alias ⟨LowerSemicontinuousWithinAt.le_liminf, _⟩ := lowerSemicontinuousWithinAt_iff_le_liminf
| Mathlib/Topology/Semicontinuous.lean | 332 | 335 | theorem lowerSemicontinuousAt_iff_le_liminf {f : α → γ} :
LowerSemicontinuousAt f x ↔ f x ≤ liminf f (𝓝 x) := by |
rw [← lowerSemicontinuousWithinAt_univ_iff, lowerSemicontinuousWithinAt_iff_le_liminf,
← nhdsWithin_univ]
|
import Mathlib.Algebra.MvPolynomial.Degrees
#align_import data.mv_polynomial.variables from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
open Set Function Finsupp AddMonoidAlgebra
universe u v w
variable {R : Type u} {S : Type v}
namespace MvPolynomial
variable {σ τ : Type*} {r : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ}
section CommSemiring
variable [CommSemiring R] {p q : MvPolynomial σ R}
section Vars
def vars (p : MvPolynomial σ R) : Finset σ :=
letI := Classical.decEq σ
p.degrees.toFinset
#align mv_polynomial.vars MvPolynomial.vars
theorem vars_def [DecidableEq σ] (p : MvPolynomial σ R) : p.vars = p.degrees.toFinset := by
rw [vars]
convert rfl
#align mv_polynomial.vars_def MvPolynomial.vars_def
@[simp]
theorem vars_0 : (0 : MvPolynomial σ R).vars = ∅ := by
classical rw [vars_def, degrees_zero, Multiset.toFinset_zero]
#align mv_polynomial.vars_0 MvPolynomial.vars_0
@[simp]
theorem vars_monomial (h : r ≠ 0) : (monomial s r).vars = s.support := by
classical rw [vars_def, degrees_monomial_eq _ _ h, Finsupp.toFinset_toMultiset]
#align mv_polynomial.vars_monomial MvPolynomial.vars_monomial
@[simp]
theorem vars_C : (C r : MvPolynomial σ R).vars = ∅ := by
classical rw [vars_def, degrees_C, Multiset.toFinset_zero]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.vars_C MvPolynomial.vars_C
@[simp]
theorem vars_X [Nontrivial R] : (X n : MvPolynomial σ R).vars = {n} := by
rw [X, vars_monomial (one_ne_zero' R), Finsupp.support_single_ne_zero _ (one_ne_zero' ℕ)]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.vars_X MvPolynomial.vars_X
theorem mem_vars (i : σ) : i ∈ p.vars ↔ ∃ d ∈ p.support, i ∈ d.support := by
classical simp only [vars_def, Multiset.mem_toFinset, mem_degrees, mem_support_iff, exists_prop]
#align mv_polynomial.mem_vars MvPolynomial.mem_vars
theorem mem_support_not_mem_vars_zero {f : MvPolynomial σ R} {x : σ →₀ ℕ} (H : x ∈ f.support)
{v : σ} (h : v ∉ vars f) : x v = 0 := by
contrapose! h
exact (mem_vars v).mpr ⟨x, H, Finsupp.mem_support_iff.mpr h⟩
#align mv_polynomial.mem_support_not_mem_vars_zero MvPolynomial.mem_support_not_mem_vars_zero
theorem vars_add_subset [DecidableEq σ] (p q : MvPolynomial σ R) :
(p + q).vars ⊆ p.vars ∪ q.vars := by
intro x hx
simp only [vars_def, Finset.mem_union, Multiset.mem_toFinset] at hx ⊢
simpa using Multiset.mem_of_le (degrees_add _ _) hx
#align mv_polynomial.vars_add_subset MvPolynomial.vars_add_subset
theorem vars_add_of_disjoint [DecidableEq σ] (h : Disjoint p.vars q.vars) :
(p + q).vars = p.vars ∪ q.vars := by
refine (vars_add_subset p q).antisymm fun x hx => ?_
simp only [vars_def, Multiset.disjoint_toFinset] at h hx ⊢
rwa [degrees_add_of_disjoint h, Multiset.toFinset_union]
#align mv_polynomial.vars_add_of_disjoint MvPolynomial.vars_add_of_disjoint
section Mul
theorem vars_mul [DecidableEq σ] (φ ψ : MvPolynomial σ R) : (φ * ψ).vars ⊆ φ.vars ∪ ψ.vars := by
simp_rw [vars_def, ← Multiset.toFinset_add, Multiset.toFinset_subset]
exact Multiset.subset_of_le (degrees_mul φ ψ)
#align mv_polynomial.vars_mul MvPolynomial.vars_mul
@[simp]
theorem vars_one : (1 : MvPolynomial σ R).vars = ∅ :=
vars_C
#align mv_polynomial.vars_one MvPolynomial.vars_one
theorem vars_pow (φ : MvPolynomial σ R) (n : ℕ) : (φ ^ n).vars ⊆ φ.vars := by
classical
induction' n with n ih
· simp
· rw [pow_succ']
apply Finset.Subset.trans (vars_mul _ _)
exact Finset.union_subset (Finset.Subset.refl _) ih
#align mv_polynomial.vars_pow MvPolynomial.vars_pow
theorem vars_prod {ι : Type*} [DecidableEq σ] {s : Finset ι} (f : ι → MvPolynomial σ R) :
(∏ i ∈ s, f i).vars ⊆ s.biUnion fun i => (f i).vars := by
classical
induction s using Finset.induction_on with
| empty => simp
| insert hs hsub =>
simp only [hs, Finset.biUnion_insert, Finset.prod_insert, not_false_iff]
apply Finset.Subset.trans (vars_mul _ _)
exact Finset.union_subset_union (Finset.Subset.refl _) hsub
#align mv_polynomial.vars_prod MvPolynomial.vars_prod
section EvalVars
variable [CommSemiring S]
theorem eval₂Hom_eq_constantCoeff_of_vars (f : R →+* S) {g : σ → S} {p : MvPolynomial σ R}
(hp : ∀ i ∈ p.vars, g i = 0) : eval₂Hom f g p = f (constantCoeff p) := by
conv_lhs => rw [p.as_sum]
simp only [map_sum, eval₂Hom_monomial]
by_cases h0 : constantCoeff p = 0
on_goal 1 =>
rw [h0, f.map_zero, Finset.sum_eq_zero]
intro d hd
on_goal 2 =>
rw [Finset.sum_eq_single (0 : σ →₀ ℕ)]
· rw [Finsupp.prod_zero_index, mul_one]
rfl
on_goal 1 => intro d hd hd0
on_goal 3 =>
rw [constantCoeff_eq, coeff, ← Ne, ← Finsupp.mem_support_iff] at h0
intro
contradiction
repeat'
obtain ⟨i, hi⟩ : Finset.Nonempty (Finsupp.support d) := by
rw [constantCoeff_eq, coeff, ← Finsupp.not_mem_support_iff] at h0
rw [Finset.nonempty_iff_ne_empty, Ne, Finsupp.support_eq_empty]
rintro rfl
contradiction
rw [Finsupp.prod, Finset.prod_eq_zero hi, mul_zero]
rw [hp, zero_pow (Finsupp.mem_support_iff.1 hi)]
rw [mem_vars]
exact ⟨d, hd, hi⟩
#align mv_polynomial.eval₂_hom_eq_constant_coeff_of_vars MvPolynomial.eval₂Hom_eq_constantCoeff_of_vars
theorem aeval_eq_constantCoeff_of_vars [Algebra R S] {g : σ → S} {p : MvPolynomial σ R}
(hp : ∀ i ∈ p.vars, g i = 0) : aeval g p = algebraMap _ _ (constantCoeff p) :=
eval₂Hom_eq_constantCoeff_of_vars _ hp
#align mv_polynomial.aeval_eq_constant_coeff_of_vars MvPolynomial.aeval_eq_constantCoeff_of_vars
| Mathlib/Algebra/MvPolynomial/Variables.lean | 282 | 298 | theorem eval₂Hom_congr' {f₁ f₂ : R →+* S} {g₁ g₂ : σ → S} {p₁ p₂ : MvPolynomial σ R} :
f₁ = f₂ →
(∀ i, i ∈ p₁.vars → i ∈ p₂.vars → g₁ i = g₂ i) →
p₁ = p₂ → eval₂Hom f₁ g₁ p₁ = eval₂Hom f₂ g₂ p₂ := by |
rintro rfl h rfl
rw [p₁.as_sum]
simp only [map_sum, eval₂Hom_monomial]
apply Finset.sum_congr rfl
intro d hd
congr 1
simp only [Finsupp.prod]
apply Finset.prod_congr rfl
intro i hi
have : i ∈ p₁.vars := by
rw [mem_vars]
exact ⟨d, hd, hi⟩
rw [h i this this]
|
import Mathlib.Algebra.Group.Basic
import Mathlib.Algebra.Group.Pi.Basic
import Mathlib.Order.Fin
import Mathlib.Order.PiLex
import Mathlib.Order.Interval.Set.Basic
#align_import data.fin.tuple.basic from "leanprover-community/mathlib"@"ef997baa41b5c428be3fb50089a7139bf4ee886b"
assert_not_exists MonoidWithZero
universe u v
namespace Fin
variable {m n : ℕ}
open Function
section Tuple
example (α : Fin 0 → Sort u) : Unique (∀ i : Fin 0, α i) := by infer_instance
theorem tuple0_le {α : Fin 0 → Type*} [∀ i, Preorder (α i)] (f g : ∀ i, α i) : f ≤ g :=
finZeroElim
#align fin.tuple0_le Fin.tuple0_le
variable {α : Fin (n + 1) → Type u} (x : α 0) (q : ∀ i, α i) (p : ∀ i : Fin n, α i.succ) (i : Fin n)
(y : α i.succ) (z : α 0)
def tail (q : ∀ i, α i) : ∀ i : Fin n, α i.succ := fun i ↦ q i.succ
#align fin.tail Fin.tail
theorem tail_def {n : ℕ} {α : Fin (n + 1) → Type*} {q : ∀ i, α i} :
(tail fun k : Fin (n + 1) ↦ q k) = fun k : Fin n ↦ q k.succ :=
rfl
#align fin.tail_def Fin.tail_def
def cons (x : α 0) (p : ∀ i : Fin n, α i.succ) : ∀ i, α i := fun j ↦ Fin.cases x p j
#align fin.cons Fin.cons
@[simp]
theorem tail_cons : tail (cons x p) = p := by
simp (config := { unfoldPartialApp := true }) [tail, cons]
#align fin.tail_cons Fin.tail_cons
@[simp]
theorem cons_succ : cons x p i.succ = p i := by simp [cons]
#align fin.cons_succ Fin.cons_succ
@[simp]
theorem cons_zero : cons x p 0 = x := by simp [cons]
#align fin.cons_zero Fin.cons_zero
@[simp]
theorem cons_one {α : Fin (n + 2) → Type*} (x : α 0) (p : ∀ i : Fin n.succ, α i.succ) :
cons x p 1 = p 0 := by
rw [← cons_succ x p]; rfl
@[simp]
theorem cons_update : cons x (update p i y) = update (cons x p) i.succ y := by
ext j
by_cases h : j = 0
· rw [h]
simp [Ne.symm (succ_ne_zero i)]
· let j' := pred j h
have : j'.succ = j := succ_pred j h
rw [← this, cons_succ]
by_cases h' : j' = i
· rw [h']
simp
· have : j'.succ ≠ i.succ := by rwa [Ne, succ_inj]
rw [update_noteq h', update_noteq this, cons_succ]
#align fin.cons_update Fin.cons_update
theorem cons_injective2 : Function.Injective2 (@cons n α) := fun x₀ y₀ x y h ↦
⟨congr_fun h 0, funext fun i ↦ by simpa using congr_fun h (Fin.succ i)⟩
#align fin.cons_injective2 Fin.cons_injective2
@[simp]
theorem cons_eq_cons {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} :
cons x₀ x = cons y₀ y ↔ x₀ = y₀ ∧ x = y :=
cons_injective2.eq_iff
#align fin.cons_eq_cons Fin.cons_eq_cons
theorem cons_left_injective (x : ∀ i : Fin n, α i.succ) : Function.Injective fun x₀ ↦ cons x₀ x :=
cons_injective2.left _
#align fin.cons_left_injective Fin.cons_left_injective
theorem cons_right_injective (x₀ : α 0) : Function.Injective (cons x₀) :=
cons_injective2.right _
#align fin.cons_right_injective Fin.cons_right_injective
theorem update_cons_zero : update (cons x p) 0 z = cons z p := by
ext j
by_cases h : j = 0
· rw [h]
simp
· simp only [h, update_noteq, Ne, not_false_iff]
let j' := pred j h
have : j'.succ = j := succ_pred j h
rw [← this, cons_succ, cons_succ]
#align fin.update_cons_zero Fin.update_cons_zero
@[simp, nolint simpNF] -- Porting note: linter claims LHS doesn't simplify
theorem cons_self_tail : cons (q 0) (tail q) = q := by
ext j
by_cases h : j = 0
· rw [h]
simp
· let j' := pred j h
have : j'.succ = j := succ_pred j h
rw [← this]
unfold tail
rw [cons_succ]
#align fin.cons_self_tail Fin.cons_self_tail
-- Porting note: Mathport removes `_root_`?
@[elab_as_elim]
def consCases {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x))
(x : ∀ i : Fin n.succ, α i) : P x :=
_root_.cast (by rw [cons_self_tail]) <| h (x 0) (tail x)
#align fin.cons_cases Fin.consCases
@[simp]
theorem consCases_cons {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x))
(x₀ : α 0) (x : ∀ i : Fin n, α i.succ) : @consCases _ _ _ h (cons x₀ x) = h x₀ x := by
rw [consCases, cast_eq]
congr
#align fin.cons_cases_cons Fin.consCases_cons
@[elab_as_elim]
def consInduction {α : Type*} {P : ∀ {n : ℕ}, (Fin n → α) → Sort v} (h0 : P Fin.elim0)
(h : ∀ {n} (x₀) (x : Fin n → α), P x → P (Fin.cons x₀ x)) : ∀ {n : ℕ} (x : Fin n → α), P x
| 0, x => by convert h0
| n + 1, x => consCases (fun x₀ x ↦ h _ _ <| consInduction h0 h _) x
#align fin.cons_induction Fin.consInductionₓ -- Porting note: universes
theorem cons_injective_of_injective {α} {x₀ : α} {x : Fin n → α} (hx₀ : x₀ ∉ Set.range x)
(hx : Function.Injective x) : Function.Injective (cons x₀ x : Fin n.succ → α) := by
refine Fin.cases ?_ ?_
· refine Fin.cases ?_ ?_
· intro
rfl
· intro j h
rw [cons_zero, cons_succ] at h
exact hx₀.elim ⟨_, h.symm⟩
· intro i
refine Fin.cases ?_ ?_
· intro h
rw [cons_zero, cons_succ] at h
exact hx₀.elim ⟨_, h⟩
· intro j h
rw [cons_succ, cons_succ] at h
exact congr_arg _ (hx h)
#align fin.cons_injective_of_injective Fin.cons_injective_of_injective
theorem cons_injective_iff {α} {x₀ : α} {x : Fin n → α} :
Function.Injective (cons x₀ x : Fin n.succ → α) ↔ x₀ ∉ Set.range x ∧ Function.Injective x := by
refine ⟨fun h ↦ ⟨?_, ?_⟩, fun h ↦ cons_injective_of_injective h.1 h.2⟩
· rintro ⟨i, hi⟩
replace h := @h i.succ 0
simp [hi, succ_ne_zero] at h
· simpa [Function.comp] using h.comp (Fin.succ_injective _)
#align fin.cons_injective_iff Fin.cons_injective_iff
@[simp]
theorem forall_fin_zero_pi {α : Fin 0 → Sort*} {P : (∀ i, α i) → Prop} :
(∀ x, P x) ↔ P finZeroElim :=
⟨fun h ↦ h _, fun h x ↦ Subsingleton.elim finZeroElim x ▸ h⟩
#align fin.forall_fin_zero_pi Fin.forall_fin_zero_pi
@[simp]
theorem exists_fin_zero_pi {α : Fin 0 → Sort*} {P : (∀ i, α i) → Prop} :
(∃ x, P x) ↔ P finZeroElim :=
⟨fun ⟨x, h⟩ ↦ Subsingleton.elim x finZeroElim ▸ h, fun h ↦ ⟨_, h⟩⟩
#align fin.exists_fin_zero_pi Fin.exists_fin_zero_pi
theorem forall_fin_succ_pi {P : (∀ i, α i) → Prop} : (∀ x, P x) ↔ ∀ a v, P (Fin.cons a v) :=
⟨fun h a v ↦ h (Fin.cons a v), consCases⟩
#align fin.forall_fin_succ_pi Fin.forall_fin_succ_pi
theorem exists_fin_succ_pi {P : (∀ i, α i) → Prop} : (∃ x, P x) ↔ ∃ a v, P (Fin.cons a v) :=
⟨fun ⟨x, h⟩ ↦ ⟨x 0, tail x, (cons_self_tail x).symm ▸ h⟩, fun ⟨_, _, h⟩ ↦ ⟨_, h⟩⟩
#align fin.exists_fin_succ_pi Fin.exists_fin_succ_pi
@[simp]
theorem tail_update_zero : tail (update q 0 z) = tail q := by
ext j
simp [tail, Fin.succ_ne_zero]
#align fin.tail_update_zero Fin.tail_update_zero
@[simp]
theorem tail_update_succ : tail (update q i.succ y) = update (tail q) i y := by
ext j
by_cases h : j = i
· rw [h]
simp [tail]
· simp [tail, (Fin.succ_injective n).ne h, h]
#align fin.tail_update_succ Fin.tail_update_succ
theorem comp_cons {α : Type*} {β : Type*} (g : α → β) (y : α) (q : Fin n → α) :
g ∘ cons y q = cons (g y) (g ∘ q) := by
ext j
by_cases h : j = 0
· rw [h]
rfl
· let j' := pred j h
have : j'.succ = j := succ_pred j h
rw [← this, cons_succ, comp_apply, comp_apply, cons_succ]
#align fin.comp_cons Fin.comp_cons
theorem comp_tail {α : Type*} {β : Type*} (g : α → β) (q : Fin n.succ → α) :
g ∘ tail q = tail (g ∘ q) := by
ext j
simp [tail]
#align fin.comp_tail Fin.comp_tail
theorem le_cons [∀ i, Preorder (α i)] {x : α 0} {q : ∀ i, α i} {p : ∀ i : Fin n, α i.succ} :
q ≤ cons x p ↔ q 0 ≤ x ∧ tail q ≤ p :=
forall_fin_succ.trans <| and_congr Iff.rfl <| forall_congr' fun j ↦ by simp [tail]
#align fin.le_cons Fin.le_cons
theorem cons_le [∀ i, Preorder (α i)] {x : α 0} {q : ∀ i, α i} {p : ∀ i : Fin n, α i.succ} :
cons x p ≤ q ↔ x ≤ q 0 ∧ p ≤ tail q :=
@le_cons _ (fun i ↦ (α i)ᵒᵈ) _ x q p
#align fin.cons_le Fin.cons_le
theorem cons_le_cons [∀ i, Preorder (α i)] {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} :
cons x₀ x ≤ cons y₀ y ↔ x₀ ≤ y₀ ∧ x ≤ y :=
forall_fin_succ.trans <| and_congr_right' <| by simp only [cons_succ, Pi.le_def]
#align fin.cons_le_cons Fin.cons_le_cons
theorem pi_lex_lt_cons_cons {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ}
(s : ∀ {i : Fin n.succ}, α i → α i → Prop) :
Pi.Lex (· < ·) (@s) (Fin.cons x₀ x) (Fin.cons y₀ y) ↔
s x₀ y₀ ∨ x₀ = y₀ ∧ Pi.Lex (· < ·) (@fun i : Fin n ↦ @s i.succ) x y := by
simp_rw [Pi.Lex, Fin.exists_fin_succ, Fin.cons_succ, Fin.cons_zero, Fin.forall_fin_succ]
simp [and_assoc, exists_and_left]
#align fin.pi_lex_lt_cons_cons Fin.pi_lex_lt_cons_cons
theorem range_fin_succ {α} (f : Fin (n + 1) → α) :
Set.range f = insert (f 0) (Set.range (Fin.tail f)) :=
Set.ext fun _ ↦ exists_fin_succ.trans <| eq_comm.or Iff.rfl
#align fin.range_fin_succ Fin.range_fin_succ
@[simp]
theorem range_cons {α : Type*} {n : ℕ} (x : α) (b : Fin n → α) :
Set.range (Fin.cons x b : Fin n.succ → α) = insert x (Set.range b) := by
rw [range_fin_succ, cons_zero, tail_cons]
#align fin.range_cons Fin.range_cons
section InsertNth
variable {α : Fin (n + 1) → Type u} {β : Type v}
@[elab_as_elim]
def succAboveCases {α : Fin (n + 1) → Sort u} (i : Fin (n + 1)) (x : α i)
(p : ∀ j : Fin n, α (i.succAbove j)) (j : Fin (n + 1)) : α j :=
if hj : j = i then Eq.rec x hj.symm
else
if hlt : j < i then @Eq.recOn _ _ (fun x _ ↦ α x) _ (succAbove_castPred_of_lt _ _ hlt) (p _)
else @Eq.recOn _ _ (fun x _ ↦ α x) _ (succAbove_pred_of_lt _ _ <|
(Ne.lt_or_lt hj).resolve_left hlt) (p _)
#align fin.succ_above_cases Fin.succAboveCases
theorem forall_iff_succAbove {p : Fin (n + 1) → Prop} (i : Fin (n + 1)) :
(∀ j, p j) ↔ p i ∧ ∀ j, p (i.succAbove j) :=
⟨fun h ↦ ⟨h _, fun _ ↦ h _⟩, fun h ↦ succAboveCases i h.1 h.2⟩
#align fin.forall_iff_succ_above Fin.forall_iff_succAbove
def insertNth (i : Fin (n + 1)) (x : α i) (p : ∀ j : Fin n, α (i.succAbove j)) (j : Fin (n + 1)) :
α j :=
succAboveCases i x p j
#align fin.insert_nth Fin.insertNth
@[simp]
theorem insertNth_apply_same (i : Fin (n + 1)) (x : α i) (p : ∀ j, α (i.succAbove j)) :
insertNth i x p i = x := by simp [insertNth, succAboveCases]
#align fin.insert_nth_apply_same Fin.insertNth_apply_same
@[simp]
theorem insertNth_apply_succAbove (i : Fin (n + 1)) (x : α i) (p : ∀ j, α (i.succAbove j))
(j : Fin n) : insertNth i x p (i.succAbove j) = p j := by
simp only [insertNth, succAboveCases, dif_neg (succAbove_ne _ _), succAbove_lt_iff_castSucc_lt]
split_ifs with hlt
· generalize_proofs H₁ H₂; revert H₂
generalize hk : castPred ((succAbove i) j) H₁ = k
rw [castPred_succAbove _ _ hlt] at hk; cases hk
intro; rfl
· generalize_proofs H₁ H₂; revert H₂
generalize hk : pred (succAbove i j) H₁ = k
erw [pred_succAbove _ _ (le_of_not_lt hlt)] at hk; cases hk
intro; rfl
#align fin.insert_nth_apply_succ_above Fin.insertNth_apply_succAbove
@[simp]
theorem succAbove_cases_eq_insertNth : @succAboveCases.{u + 1} = @insertNth.{u} :=
rfl
#align fin.succ_above_cases_eq_insert_nth Fin.succAbove_cases_eq_insertNth
@[simp]
theorem insertNth_comp_succAbove (i : Fin (n + 1)) (x : β) (p : Fin n → β) :
insertNth i x p ∘ i.succAbove = p :=
funext (by unfold comp; exact insertNth_apply_succAbove i _ _)
#align fin.insert_nth_comp_succ_above Fin.insertNth_comp_succAbove
theorem insertNth_eq_iff {i : Fin (n + 1)} {x : α i} {p : ∀ j, α (i.succAbove j)} {q : ∀ j, α j} :
i.insertNth x p = q ↔ q i = x ∧ p = fun j ↦ q (i.succAbove j) := by
simp [funext_iff, forall_iff_succAbove i, eq_comm]
#align fin.insert_nth_eq_iff Fin.insertNth_eq_iff
theorem eq_insertNth_iff {i : Fin (n + 1)} {x : α i} {p : ∀ j, α (i.succAbove j)} {q : ∀ j, α j} :
q = i.insertNth x p ↔ q i = x ∧ p = fun j ↦ q (i.succAbove j) :=
eq_comm.trans insertNth_eq_iff
#align fin.eq_insert_nth_iff Fin.eq_insertNth_iff
theorem insertNth_apply_below {i j : Fin (n + 1)} (h : j < i) (x : α i)
(p : ∀ k, α (i.succAbove k)) :
i.insertNth x p j = @Eq.recOn _ _ (fun x _ ↦ α x) _
(succAbove_castPred_of_lt _ _ h) (p <| j.castPred _) := by
rw [insertNth, succAboveCases, dif_neg h.ne, dif_pos h]
#align fin.insert_nth_apply_below Fin.insertNth_apply_below
theorem insertNth_apply_above {i j : Fin (n + 1)} (h : i < j) (x : α i)
(p : ∀ k, α (i.succAbove k)) :
i.insertNth x p j = @Eq.recOn _ _ (fun x _ ↦ α x) _
(succAbove_pred_of_lt _ _ h) (p <| j.pred _) := by
rw [insertNth, succAboveCases, dif_neg h.ne', dif_neg h.not_lt]
#align fin.insert_nth_apply_above Fin.insertNth_apply_above
| Mathlib/Data/Fin/Tuple/Basic.lean | 834 | 839 | theorem insertNth_zero (x : α 0) (p : ∀ j : Fin n, α (succAbove 0 j)) :
insertNth 0 x p =
cons x fun j ↦ _root_.cast (congr_arg α (congr_fun succAbove_zero j)) (p j) := by |
refine insertNth_eq_iff.2 ⟨by simp, ?_⟩
ext j
convert (cons_succ x p j).symm
|
import Mathlib.CategoryTheory.Elementwise
import Mathlib.CategoryTheory.Adjunction.Evaluation
import Mathlib.Tactic.CategoryTheory.Elementwise
import Mathlib.CategoryTheory.Adhesive
import Mathlib.CategoryTheory.Sites.ConcreteSheafification
#align_import category_theory.sites.subsheaf from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe w v u
open Opposite CategoryTheory
namespace CategoryTheory.GrothendieckTopology
variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C)
@[ext]
structure Subpresheaf (F : Cᵒᵖ ⥤ Type w) where
obj : ∀ U, Set (F.obj U)
map : ∀ {U V : Cᵒᵖ} (i : U ⟶ V), obj U ⊆ F.map i ⁻¹' obj V
#align category_theory.grothendieck_topology.subpresheaf CategoryTheory.GrothendieckTopology.Subpresheaf
variable {F F' F'' : Cᵒᵖ ⥤ Type w} (G G' : Subpresheaf F)
instance : PartialOrder (Subpresheaf F) :=
PartialOrder.lift Subpresheaf.obj Subpresheaf.ext
instance : Top (Subpresheaf F) :=
⟨⟨fun U => ⊤, @fun U V _ x _ => by aesop_cat⟩⟩
instance : Nonempty (Subpresheaf F) :=
inferInstance
@[simps!]
def Subpresheaf.toPresheaf : Cᵒᵖ ⥤ Type w where
obj U := G.obj U
map := @fun U V i x => ⟨F.map i x, G.map i x.prop⟩
map_id X := by
ext ⟨x, _⟩
dsimp
simp only [FunctorToTypes.map_id_apply]
map_comp := @fun X Y Z i j => by
ext ⟨x, _⟩
dsimp
simp only [FunctorToTypes.map_comp_apply]
#align category_theory.grothendieck_topology.subpresheaf.to_presheaf CategoryTheory.GrothendieckTopology.Subpresheaf.toPresheaf
instance {U} : CoeHead (G.toPresheaf.obj U) (F.obj U) where
coe := Subtype.val
@[simps]
def Subpresheaf.ι : G.toPresheaf ⟶ F where app U x := x
#align category_theory.grothendieck_topology.subpresheaf.ι CategoryTheory.GrothendieckTopology.Subpresheaf.ι
instance : Mono G.ι :=
⟨@fun _ f₁ f₂ e =>
NatTrans.ext f₁ f₂ <|
funext fun U => funext fun x => Subtype.ext <| congr_fun (congr_app e U) x⟩
@[simps]
def Subpresheaf.homOfLe {G G' : Subpresheaf F} (h : G ≤ G') : G.toPresheaf ⟶ G'.toPresheaf where
app U x := ⟨x, h U x.prop⟩
#align category_theory.grothendieck_topology.subpresheaf.hom_of_le CategoryTheory.GrothendieckTopology.Subpresheaf.homOfLe
instance {G G' : Subpresheaf F} (h : G ≤ G') : Mono (Subpresheaf.homOfLe h) :=
⟨fun f₁ f₂ e =>
NatTrans.ext f₁ f₂ <|
funext fun U =>
funext fun x =>
Subtype.ext <| (congr_arg Subtype.val <| (congr_fun (congr_app e U) x : _) : _)⟩
@[reassoc (attr := simp)]
theorem Subpresheaf.homOfLe_ι {G G' : Subpresheaf F} (h : G ≤ G') :
Subpresheaf.homOfLe h ≫ G'.ι = G.ι := by
ext
rfl
#align category_theory.grothendieck_topology.subpresheaf.hom_of_le_ι CategoryTheory.GrothendieckTopology.Subpresheaf.homOfLe_ι
instance : IsIso (Subpresheaf.ι (⊤ : Subpresheaf F)) := by
refine @NatIso.isIso_of_isIso_app _ _ _ _ _ _ _ ?_
intro X
rw [isIso_iff_bijective]
exact ⟨Subtype.coe_injective, fun x => ⟨⟨x, _root_.trivial⟩, rfl⟩⟩
theorem Subpresheaf.eq_top_iff_isIso : G = ⊤ ↔ IsIso G.ι := by
constructor
· rintro rfl
infer_instance
· intro H
ext U x
apply iff_true_iff.mpr
rw [← IsIso.inv_hom_id_apply (G.ι.app U) x]
exact ((inv (G.ι.app U)) x).2
#align category_theory.grothendieck_topology.subpresheaf.eq_top_iff_is_iso CategoryTheory.GrothendieckTopology.Subpresheaf.eq_top_iff_isIso
@[simps!]
def Subpresheaf.lift (f : F' ⟶ F) (hf : ∀ U x, f.app U x ∈ G.obj U) : F' ⟶ G.toPresheaf where
app U x := ⟨f.app U x, hf U x⟩
naturality := by
have := elementwise_of% f.naturality
intros
refine funext fun x => Subtype.ext ?_
simp only [toPresheaf_obj, types_comp_apply]
exact this _ _
#align category_theory.grothendieck_topology.subpresheaf.lift CategoryTheory.GrothendieckTopology.Subpresheaf.lift
@[reassoc (attr := simp)]
theorem Subpresheaf.lift_ι (f : F' ⟶ F) (hf : ∀ U x, f.app U x ∈ G.obj U) :
G.lift f hf ≫ G.ι = f := by
ext
rfl
#align category_theory.grothendieck_topology.subpresheaf.lift_ι CategoryTheory.GrothendieckTopology.Subpresheaf.lift_ι
@[simps]
def Subpresheaf.sieveOfSection {U : Cᵒᵖ} (s : F.obj U) : Sieve (unop U) where
arrows V f := F.map f.op s ∈ G.obj (op V)
downward_closed := @fun V W i hi j => by
simp only [op_unop, op_comp, FunctorToTypes.map_comp_apply]
exact G.map _ hi
#align category_theory.grothendieck_topology.subpresheaf.sieve_of_section CategoryTheory.GrothendieckTopology.Subpresheaf.sieveOfSection
def Subpresheaf.familyOfElementsOfSection {U : Cᵒᵖ} (s : F.obj U) :
(G.sieveOfSection s).1.FamilyOfElements G.toPresheaf := fun _ i hi => ⟨F.map i.op s, hi⟩
#align category_theory.grothendieck_topology.subpresheaf.family_of_elements_of_section CategoryTheory.GrothendieckTopology.Subpresheaf.familyOfElementsOfSection
theorem Subpresheaf.family_of_elements_compatible {U : Cᵒᵖ} (s : F.obj U) :
(G.familyOfElementsOfSection s).Compatible := by
intro Y₁ Y₂ Z g₁ g₂ f₁ f₂ h₁ h₂ e
refine Subtype.ext ?_ -- Porting note: `ext1` does not work here
change F.map g₁.op (F.map f₁.op s) = F.map g₂.op (F.map f₂.op s)
rw [← FunctorToTypes.map_comp_apply, ← FunctorToTypes.map_comp_apply, ← op_comp, ← op_comp, e]
#align category_theory.grothendieck_topology.subpresheaf.family_of_elements_compatible CategoryTheory.GrothendieckTopology.Subpresheaf.family_of_elements_compatible
theorem Subpresheaf.nat_trans_naturality (f : F' ⟶ G.toPresheaf) {U V : Cᵒᵖ} (i : U ⟶ V)
(x : F'.obj U) : (f.app V (F'.map i x)).1 = F.map i (f.app U x).1 :=
congr_arg Subtype.val (FunctorToTypes.naturality _ _ f i x)
#align category_theory.grothendieck_topology.subpresheaf.nat_trans_naturality CategoryTheory.GrothendieckTopology.Subpresheaf.nat_trans_naturality
def Subpresheaf.sheafify : Subpresheaf F where
obj U := { s | G.sieveOfSection s ∈ J (unop U) }
map := by
rintro U V i s hs
refine J.superset_covering ?_ (J.pullback_stable i.unop hs)
intro _ _ h
dsimp at h ⊢
rwa [← FunctorToTypes.map_comp_apply]
#align category_theory.grothendieck_topology.subpresheaf.sheafify CategoryTheory.GrothendieckTopology.Subpresheaf.sheafify
theorem Subpresheaf.le_sheafify : G ≤ G.sheafify J := by
intro U s hs
change _ ∈ J _
convert J.top_mem U.unop -- Porting note: `U.unop` can not be inferred now
rw [eq_top_iff]
rintro V i -
exact G.map i.op hs
#align category_theory.grothendieck_topology.subpresheaf.le_sheafify CategoryTheory.GrothendieckTopology.Subpresheaf.le_sheafify
variable {J}
theorem Subpresheaf.eq_sheafify (h : Presieve.IsSheaf J F) (hG : Presieve.IsSheaf J G.toPresheaf) :
G = G.sheafify J := by
apply (G.le_sheafify J).antisymm
intro U s hs
suffices ((hG _ hs).amalgamate _ (G.family_of_elements_compatible s)).1 = s by
rw [← this]
exact ((hG _ hs).amalgamate _ (G.family_of_elements_compatible s)).2
apply (h _ hs).isSeparatedFor.ext
intro V i hi
exact (congr_arg Subtype.val ((hG _ hs).valid_glue (G.family_of_elements_compatible s) _ hi) : _)
#align category_theory.grothendieck_topology.subpresheaf.eq_sheafify CategoryTheory.GrothendieckTopology.Subpresheaf.eq_sheafify
theorem Subpresheaf.sheafify_isSheaf (hF : Presieve.IsSheaf J F) :
Presieve.IsSheaf J (G.sheafify J).toPresheaf := by
intro U S hS x hx
let S' := Sieve.bind S fun Y f hf => G.sieveOfSection (x f hf).1
have := fun (V) (i : V ⟶ U) (hi : S' i) => hi
-- Porting note: change to explicit variable so that `choose` can find the correct
-- dependent functions. Thus everything follows need two additional explicit variables.
choose W i₁ i₂ hi₂ h₁ h₂ using this
dsimp [-Sieve.bind_apply] at *
let x'' : Presieve.FamilyOfElements F S' := fun V i hi => F.map (i₁ V i hi).op (x _ (hi₂ V i hi))
have H : ∀ s, x.IsAmalgamation s ↔ x''.IsAmalgamation s.1 := by
intro s
constructor
· intro H V i hi
dsimp only [x'', show x'' = fun V i hi => F.map (i₁ V i hi).op (x _ (hi₂ V i hi)) from rfl]
conv_lhs => rw [← h₂ _ _ hi]
rw [← H _ (hi₂ _ _ hi)]
exact FunctorToTypes.map_comp_apply F (i₂ _ _ hi).op (i₁ _ _ hi).op _
· intro H V i hi
refine Subtype.ext ?_
apply (hF _ (x i hi).2).isSeparatedFor.ext
intro V' i' hi'
have hi'' : S' (i' ≫ i) := ⟨_, _, _, hi, hi', rfl⟩
have := H _ hi''
rw [op_comp, F.map_comp] at this
exact this.trans (congr_arg Subtype.val (hx _ _ (hi₂ _ _ hi'') hi (h₂ _ _ hi'')))
have : x''.Compatible := by
intro V₁ V₂ V₃ g₁ g₂ g₃ g₄ S₁ S₂ e
rw [← FunctorToTypes.map_comp_apply, ← FunctorToTypes.map_comp_apply]
exact
congr_arg Subtype.val
(hx (g₁ ≫ i₁ _ _ S₁) (g₂ ≫ i₁ _ _ S₂) (hi₂ _ _ S₁) (hi₂ _ _ S₂)
(by simp only [Category.assoc, h₂, e]))
obtain ⟨t, ht, ht'⟩ := hF _ (J.bind_covering hS fun V i hi => (x i hi).2) _ this
refine ⟨⟨t, _⟩, (H ⟨t, ?_⟩).mpr ht, fun y hy => Subtype.ext (ht' _ ((H _).mp hy))⟩
refine J.superset_covering ?_ (J.bind_covering hS fun V i hi => (x i hi).2)
intro V i hi
dsimp
rw [ht _ hi]
exact h₁ _ _ hi
#align category_theory.grothendieck_topology.subpresheaf.sheafify_is_sheaf CategoryTheory.GrothendieckTopology.Subpresheaf.sheafify_isSheaf
theorem Subpresheaf.eq_sheafify_iff (h : Presieve.IsSheaf J F) :
G = G.sheafify J ↔ Presieve.IsSheaf J G.toPresheaf :=
⟨fun e => e.symm ▸ G.sheafify_isSheaf h, G.eq_sheafify h⟩
#align category_theory.grothendieck_topology.subpresheaf.eq_sheafify_iff CategoryTheory.GrothendieckTopology.Subpresheaf.eq_sheafify_iff
theorem Subpresheaf.isSheaf_iff (h : Presieve.IsSheaf J F) :
Presieve.IsSheaf J G.toPresheaf ↔
∀ (U) (s : F.obj U), G.sieveOfSection s ∈ J (unop U) → s ∈ G.obj U := by
rw [← G.eq_sheafify_iff h]
change _ ↔ G.sheafify J ≤ G
exact ⟨Eq.ge, (G.le_sheafify J).antisymm⟩
#align category_theory.grothendieck_topology.subpresheaf.is_sheaf_iff CategoryTheory.GrothendieckTopology.Subpresheaf.isSheaf_iff
theorem Subpresheaf.sheafify_sheafify (h : Presieve.IsSheaf J F) :
(G.sheafify J).sheafify J = G.sheafify J :=
((Subpresheaf.eq_sheafify_iff _ h).mpr <| G.sheafify_isSheaf h).symm
#align category_theory.grothendieck_topology.subpresheaf.sheafify_sheafify CategoryTheory.GrothendieckTopology.Subpresheaf.sheafify_sheafify
noncomputable def Subpresheaf.sheafifyLift (f : G.toPresheaf ⟶ F') (h : Presieve.IsSheaf J F') :
(G.sheafify J).toPresheaf ⟶ F' where
app U s := (h (G.sieveOfSection s.1) s.prop).amalgamate
(_) ((G.family_of_elements_compatible s.1).compPresheafMap f)
naturality := by
intro U V i
ext s
apply (h _ ((Subpresheaf.sheafify J G).toPresheaf.map i s).prop).isSeparatedFor.ext
intro W j hj
refine (Presieve.IsSheafFor.valid_glue (h _ ((G.sheafify J).toPresheaf.map i s).2)
((G.family_of_elements_compatible _).compPresheafMap _) _ hj).trans ?_
dsimp
conv_rhs => rw [← FunctorToTypes.map_comp_apply]
change _ = F'.map (j ≫ i.unop).op _
refine Eq.trans ?_ (Presieve.IsSheafFor.valid_glue (h _ s.2)
((G.family_of_elements_compatible s.1).compPresheafMap f) (j ≫ i.unop) ?_).symm
swap -- Porting note: need to swap two goals otherwise the first goal needs to be proven
-- inside the second goal any way
· dsimp [Presieve.FamilyOfElements.compPresheafMap] at hj ⊢
rwa [FunctorToTypes.map_comp_apply]
· dsimp [Presieve.FamilyOfElements.compPresheafMap]
exact congr_arg _ (Subtype.ext (FunctorToTypes.map_comp_apply _ _ _ _).symm)
#align category_theory.grothendieck_topology.subpresheaf.sheafify_lift CategoryTheory.GrothendieckTopology.Subpresheaf.sheafifyLift
theorem Subpresheaf.to_sheafifyLift (f : G.toPresheaf ⟶ F') (h : Presieve.IsSheaf J F') :
Subpresheaf.homOfLe (G.le_sheafify J) ≫ G.sheafifyLift f h = f := by
ext U s
apply (h _ ((Subpresheaf.homOfLe (G.le_sheafify J)).app U s).prop).isSeparatedFor.ext
intro V i hi
have := elementwise_of% f.naturality
-- Porting note: filled in some underscores where Lean3 could automatically fill.
exact (Presieve.IsSheafFor.valid_glue (h _ ((homOfLe (_ : G ≤ sheafify J G)).app U s).2)
((G.family_of_elements_compatible _).compPresheafMap _) _ hi).trans (this _ _)
#align category_theory.grothendieck_topology.subpresheaf.to_sheafify_lift CategoryTheory.GrothendieckTopology.Subpresheaf.to_sheafifyLift
theorem Subpresheaf.to_sheafify_lift_unique (h : Presieve.IsSheaf J F')
(l₁ l₂ : (G.sheafify J).toPresheaf ⟶ F')
(e : Subpresheaf.homOfLe (G.le_sheafify J) ≫ l₁ = Subpresheaf.homOfLe (G.le_sheafify J) ≫ l₂) :
l₁ = l₂ := by
ext U ⟨s, hs⟩
apply (h _ hs).isSeparatedFor.ext
rintro V i hi
dsimp at hi
erw [← FunctorToTypes.naturality, ← FunctorToTypes.naturality]
exact (congr_fun (congr_app e <| op V) ⟨_, hi⟩ : _)
#align category_theory.grothendieck_topology.subpresheaf.to_sheafify_lift_unique CategoryTheory.GrothendieckTopology.Subpresheaf.to_sheafify_lift_unique
theorem Subpresheaf.sheafify_le (h : G ≤ G') (hF : Presieve.IsSheaf J F)
(hG' : Presieve.IsSheaf J G'.toPresheaf) : G.sheafify J ≤ G' := by
intro U x hx
convert ((G.sheafifyLift (Subpresheaf.homOfLe h) hG').app U ⟨x, hx⟩).2
apply (hF _ hx).isSeparatedFor.ext
intro V i hi
have :=
congr_arg (fun f : G.toPresheaf ⟶ G'.toPresheaf => (NatTrans.app f (op V) ⟨_, hi⟩).1)
(G.to_sheafifyLift (Subpresheaf.homOfLe h) hG')
convert this.symm
erw [← Subpresheaf.nat_trans_naturality]
rfl
#align category_theory.grothendieck_topology.subpresheaf.sheafify_le CategoryTheory.GrothendieckTopology.Subpresheaf.sheafify_le
section Image
@[simps]
def imagePresheaf (f : F' ⟶ F) : Subpresheaf F where
obj U := Set.range (f.app U)
map := by
rintro U V i _ ⟨x, rfl⟩
have := elementwise_of% f.naturality
exact ⟨_, this i x⟩
#align category_theory.grothendieck_topology.image_presheaf CategoryTheory.GrothendieckTopology.imagePresheaf
@[simp]
theorem top_subpresheaf_obj (U) : (⊤ : Subpresheaf F).obj U = ⊤ :=
rfl
#align category_theory.grothendieck_topology.top_subpresheaf_obj CategoryTheory.GrothendieckTopology.top_subpresheaf_obj
@[simp]
| Mathlib/CategoryTheory/Sites/Subsheaf.lean | 356 | 358 | theorem imagePresheaf_id : imagePresheaf (𝟙 F) = ⊤ := by |
ext
simp
|
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