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/-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.LinearAlgebra.Dimension.DivisionRing
import Mathlib.LinearAlgebra.Dimension.FreeAndStrongRankCondition
/-!
# The rank of a linear map
## Main Definition
- `LinearMap.rank`: The rank of a linear map.
-/
noncomputable section
universe u v v' v''
variable {K : Type u} {V V₁ : Type v} {V' V'₁ : Type v'} {V'' : Type v''}
open Cardinal Basis Submodule Function Set
namespace LinearMap
section Ring
variable [Ring K] [AddCommGroup V] [Module K V] [AddCommGroup V₁] [Module K V₁]
variable [AddCommGroup V'] [Module K V']
/-- `rank f` is the rank of a `LinearMap` `f`, defined as the dimension of `f.range`. -/
abbrev rank (f : V →ₗ[K] V') : Cardinal :=
Module.rank K (LinearMap.range f)
#align linear_map.rank LinearMap.rank
theorem rank_le_range (f : V →ₗ[K] V') : rank f ≤ Module.rank K V' :=
rank_submodule_le _
#align linear_map.rank_le_range LinearMap.rank_le_range
theorem rank_le_domain (f : V →ₗ[K] V₁) : rank f ≤ Module.rank K V :=
rank_range_le _
#align linear_map.rank_le_domain LinearMap.rank_le_domain
@[simp]
| Mathlib/LinearAlgebra/Dimension/LinearMap.lean | 46 | 47 | theorem rank_zero [Nontrivial K] : rank (0 : V →ₗ[K] V') = 0 := by |
rw [rank, LinearMap.range_zero, rank_bot]
|
/-
Copyright (c) 2023 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Joseph Myers
-/
import Mathlib.Analysis.InnerProductSpace.Orthogonal
import Mathlib.Analysis.Normed.Group.AddTorsor
#align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
/-!
# Perpendicular bisector of a segment
We define `AffineSubspace.perpBisector p₁ p₂` to be the perpendicular bisector of the segment
`[p₁, p₂]`, as a bundled affine subspace. We also prove that a point belongs to the perpendicular
bisector if and only if it is equidistant from `p₁` and `p₂`, as well as a few linear equations that
define this subspace.
## Keywords
euclidean geometry, perpendicular, perpendicular bisector, line segment bisector, equidistant
-/
open Set
open scoped RealInnerProductSpace
variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
variable [NormedAddTorsor V P]
noncomputable section
namespace AffineSubspace
variable {c c₁ c₂ p₁ p₂ : P}
/-- Perpendicular bisector of a segment in a Euclidean affine space. -/
def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P :=
.comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <|
(LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace
/-- A point `c` belongs the perpendicular bisector of `[p₁, p₂] iff `p₂ -ᵥ p₁` is orthogonal to
`c -ᵥ midpoint ℝ p₁ p₂`. -/
theorem mem_perpBisector_iff_inner_eq_zero' :
c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 :=
Iff.rfl
/-- A point `c` belongs the perpendicular bisector of `[p₁, p₂] iff `c -ᵥ midpoint ℝ p₁ p₂` is
orthogonal to `p₂ -ᵥ p₁`. -/
theorem mem_perpBisector_iff_inner_eq_zero :
c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 :=
inner_eq_zero_symm
theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero :
c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by
rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply,
vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc]
simp
theorem mem_perpBisector_pointReflection_iff_inner_eq_zero :
c ∈ perpBisector p₁ (Equiv.pointReflection p₂ p₁) ↔ ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ = 0 := by
rw [mem_perpBisector_iff_inner_eq_zero, midpoint_pointReflection_right,
Equiv.pointReflection_apply, vadd_vsub_assoc, inner_add_right, add_self_eq_zero,
← neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev]
theorem midpoint_mem_perpBisector (p₁ p₂ : P) :
midpoint ℝ p₁ p₂ ∈ perpBisector p₁ p₂ := by
simp [mem_perpBisector_iff_inner_eq_zero]
theorem perpBisector_nonempty : (perpBisector p₁ p₂ : Set P).Nonempty :=
⟨_, midpoint_mem_perpBisector _ _⟩
@[simp]
theorem direction_perpBisector (p₁ p₂ : P) :
(perpBisector p₁ p₂).direction = (ℝ ∙ (p₂ -ᵥ p₁))ᗮ := by
erw [perpBisector, comap_symm, map_direction, Submodule.map_id,
Submodule.toAffineSubspace_direction]
ext x
exact Submodule.mem_orthogonal_singleton_iff_inner_right.symm
theorem mem_perpBisector_iff_inner_eq_inner :
c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ p₁, p₂ -ᵥ p₁⟫ = ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ := by
rw [Iff.comm, mem_perpBisector_iff_inner_eq_zero, ← add_neg_eq_zero, ← inner_neg_right,
neg_vsub_eq_vsub_rev, ← inner_add_left, vsub_midpoint, invOf_eq_inv, ← smul_add,
real_inner_smul_left]; simp
theorem mem_perpBisector_iff_inner_eq :
c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ p₁, p₂ -ᵥ p₁⟫ = (dist p₁ p₂) ^ 2 / 2 := by
rw [mem_perpBisector_iff_inner_eq_zero, ← vsub_sub_vsub_cancel_right _ _ p₁, inner_sub_left,
sub_eq_zero, midpoint_vsub_left, invOf_eq_inv, real_inner_smul_left, real_inner_self_eq_norm_sq,
dist_eq_norm_vsub' V, div_eq_inv_mul]
theorem mem_perpBisector_iff_dist_eq : c ∈ perpBisector p₁ p₂ ↔ dist c p₁ = dist c p₂ := by
rw [dist_eq_norm_vsub V, dist_eq_norm_vsub V, ← real_inner_add_sub_eq_zero_iff,
vsub_sub_vsub_cancel_left, inner_add_left, add_eq_zero_iff_eq_neg, ← inner_neg_right,
neg_vsub_eq_vsub_rev, mem_perpBisector_iff_inner_eq_inner]
| Mathlib/Geometry/Euclidean/PerpBisector.lean | 97 | 98 | theorem mem_perpBisector_iff_dist_eq' : c ∈ perpBisector p₁ p₂ ↔ dist p₁ c = dist p₂ c := by |
simp only [mem_perpBisector_iff_dist_eq, dist_comm]
|
/-
Copyright (c) 2021 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.MeasureTheory.Measure.Regular
import Mathlib.Topology.Semicontinuous
import Mathlib.MeasureTheory.Integral.Bochner
import Mathlib.Topology.Instances.EReal
#align_import measure_theory.integral.vitali_caratheodory from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2"
/-!
# Vitali-Carathéodory theorem
Vitali-Carathéodory theorem asserts the following. Consider an integrable function `f : α → ℝ` on
a space with a regular measure. Then there exists a function `g : α → EReal` such that `f x < g x`
everywhere, `g` is lower semicontinuous, and the integral of `g` is arbitrarily close to that of
`f`. This theorem is proved in this file, as `exists_lt_lower_semicontinuous_integral_lt`.
Symmetrically, there exists `g < f` which is upper semicontinuous, with integral arbitrarily close
to that of `f`. It follows from the previous statement applied to `-f`. It is formalized under
the name `exists_upper_semicontinuous_lt_integral_gt`.
The most classical version of Vitali-Carathéodory theorem only ensures a large inequality
`f x ≤ g x`. For applications to the fundamental theorem of calculus, though, the strict inequality
`f x < g x` is important. Therefore, we prove the stronger version with strict inequalities in this
file. There is a price to pay: we require that the measure is `σ`-finite, which is not necessary for
the classical Vitali-Carathéodory theorem. Since this is satisfied in all applications, this is
not a real problem.
## Sketch of proof
Decomposing `f` as the difference of its positive and negative parts, it suffices to show that a
positive function can be bounded from above by a lower semicontinuous function, and from below
by an upper semicontinuous function, with integrals close to that of `f`.
For the bound from above, write `f` as a series `∑' n, cₙ * indicator (sₙ)` of simple functions.
Then, approximate `sₙ` by a larger open set `uₙ` with measure very close to that of `sₙ` (this is
possible by regularity of the measure), and set `g = ∑' n, cₙ * indicator (uₙ)`. It is
lower semicontinuous as a series of lower semicontinuous functions, and its integral is arbitrarily
close to that of `f`.
For the bound from below, use finitely many terms in the series, and approximate `sₙ` from inside by
a closed set `Fₙ`. Then `∑ n < N, cₙ * indicator (Fₙ)` is bounded from above by `f`, it is
upper semicontinuous as a finite sum of upper semicontinuous functions, and its integral is
arbitrarily close to that of `f`.
The main pain point in the implementation is that one needs to jump between the spaces `ℝ`, `ℝ≥0`,
`ℝ≥0∞` and `EReal` (and be careful that addition is not well behaved on `EReal`), and between
`lintegral` and `integral`.
We first show the bound from above for simple functions and the nonnegative integral
(this is the main nontrivial mathematical point), then deduce it for general nonnegative functions,
first for the nonnegative integral and then for the Bochner integral.
Then we follow the same steps for the lower bound.
Finally, we glue them together to obtain the main statement
`exists_lt_lower_semicontinuous_integral_lt`.
## Related results
Are you looking for a result on approximation by continuous functions (not just semicontinuous)?
See result `MeasureTheory.Lp.boundedContinuousFunction_dense`, in the file
`Mathlib/MeasureTheory/Function/ContinuousMapDense.lean`.
## References
[Rudin, *Real and Complex Analysis* (Theorem 2.24)][rudin2006real]
-/
open scoped ENNReal NNReal
open MeasureTheory MeasureTheory.Measure
variable {α : Type*} [TopologicalSpace α] [MeasurableSpace α] [BorelSpace α] (μ : Measure α)
[WeaklyRegular μ]
namespace MeasureTheory
local infixr:25 " →ₛ " => SimpleFunc
/-! ### Lower semicontinuous upper bound for nonnegative functions -/
/-- Given a simple function `f` with values in `ℝ≥0`, there exists a lower semicontinuous
function `g ≥ f` with integral arbitrarily close to that of `f`. Formulation in terms of
`lintegral`.
Auxiliary lemma for Vitali-Carathéodory theorem `exists_lt_lower_semicontinuous_integral_lt`. -/
theorem SimpleFunc.exists_le_lowerSemicontinuous_lintegral_ge (f : α →ₛ ℝ≥0) {ε : ℝ≥0∞}
(ε0 : ε ≠ 0) :
∃ g : α → ℝ≥0, (∀ x, f x ≤ g x) ∧ LowerSemicontinuous g ∧
(∫⁻ x, g x ∂μ) ≤ (∫⁻ x, f x ∂μ) + ε := by
induction' f using MeasureTheory.SimpleFunc.induction with c s hs f₁ f₂ _ h₁ h₂ generalizing ε
· let f := SimpleFunc.piecewise s hs (SimpleFunc.const α c) (SimpleFunc.const α 0)
by_cases h : ∫⁻ x, f x ∂μ = ⊤
· refine
⟨fun _ => c, fun x => ?_, lowerSemicontinuous_const, by
simp only [_root_.top_add, le_top, h]⟩
simp only [SimpleFunc.coe_const, SimpleFunc.const_zero, SimpleFunc.coe_zero,
Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise]
exact Set.indicator_le_self _ _ _
by_cases hc : c = 0
· refine ⟨fun _ => 0, ?_, lowerSemicontinuous_const, ?_⟩
· classical
simp only [hc, Set.indicator_zero', Pi.zero_apply, SimpleFunc.const_zero, imp_true_iff,
eq_self_iff_true, SimpleFunc.coe_zero, Set.piecewise_eq_indicator,
SimpleFunc.coe_piecewise, le_zero_iff]
· simp only [lintegral_const, zero_mul, zero_le, ENNReal.coe_zero]
have ne_top : μ s ≠ ⊤ := by
classical
simpa [f, hs, hc, lt_top_iff_ne_top, true_and_iff, SimpleFunc.coe_const,
Function.const_apply, lintegral_const, ENNReal.coe_indicator, Set.univ_inter,
ENNReal.coe_ne_top, MeasurableSet.univ, ENNReal.mul_eq_top, SimpleFunc.const_zero,
or_false_iff, lintegral_indicator, ENNReal.coe_eq_zero, Ne, not_false_iff,
SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise, false_and_iff,
restrict_apply] using h
have : μ s < μ s + ε / c := by
have : (0 : ℝ≥0∞) < ε / c := ENNReal.div_pos_iff.2 ⟨ε0, ENNReal.coe_ne_top⟩
simpa using ENNReal.add_lt_add_left ne_top this
obtain ⟨u, su, u_open, μu⟩ : ∃ (u : _), u ⊇ s ∧ IsOpen u ∧ μ u < μ s + ε / c :=
s.exists_isOpen_lt_of_lt _ this
refine ⟨Set.indicator u fun _ => c,
fun x => ?_, u_open.lowerSemicontinuous_indicator (zero_le _), ?_⟩
· simp only [SimpleFunc.coe_const, SimpleFunc.const_zero, SimpleFunc.coe_zero,
Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise]
exact Set.indicator_le_indicator_of_subset su (fun x => zero_le _) _
· suffices (c : ℝ≥0∞) * μ u ≤ c * μ s + ε by
classical
simpa only [ENNReal.coe_indicator, u_open.measurableSet, lintegral_indicator,
lintegral_const, MeasurableSet.univ, Measure.restrict_apply, Set.univ_inter, const_zero,
coe_piecewise, coe_const, coe_zero, Set.piecewise_eq_indicator, Function.const_apply, hs]
calc
(c : ℝ≥0∞) * μ u ≤ c * (μ s + ε / c) := mul_le_mul_left' μu.le _
_ = c * μ s + ε := by
simp_rw [mul_add]
rw [ENNReal.mul_div_cancel' _ ENNReal.coe_ne_top]
simpa using hc
· rcases h₁ (ENNReal.half_pos ε0).ne' with ⟨g₁, f₁_le_g₁, g₁cont, g₁int⟩
rcases h₂ (ENNReal.half_pos ε0).ne' with ⟨g₂, f₂_le_g₂, g₂cont, g₂int⟩
refine
⟨fun x => g₁ x + g₂ x, fun x => add_le_add (f₁_le_g₁ x) (f₂_le_g₂ x), g₁cont.add g₂cont, ?_⟩
simp only [SimpleFunc.coe_add, ENNReal.coe_add, Pi.add_apply]
rw [lintegral_add_left f₁.measurable.coe_nnreal_ennreal,
lintegral_add_left g₁cont.measurable.coe_nnreal_ennreal]
convert add_le_add g₁int g₂int using 1
conv_lhs => rw [← ENNReal.add_halves ε]
abel
#align measure_theory.simple_func.exists_le_lower_semicontinuous_lintegral_ge MeasureTheory.SimpleFunc.exists_le_lowerSemicontinuous_lintegral_ge
-- Porting note: errors with
-- `ambiguous identifier 'eapproxDiff', possible interpretations:`
-- `[SimpleFunc.eapproxDiff, SimpleFunc.eapproxDiff]`
-- open SimpleFunc (eapproxDiff tsum_eapproxDiff)
/-- Given a measurable function `f` with values in `ℝ≥0`, there exists a lower semicontinuous
function `g ≥ f` with integral arbitrarily close to that of `f`. Formulation in terms of
`lintegral`.
Auxiliary lemma for Vitali-Carathéodory theorem `exists_lt_lower_semicontinuous_integral_lt`. -/
theorem exists_le_lowerSemicontinuous_lintegral_ge (f : α → ℝ≥0∞) (hf : Measurable f) {ε : ℝ≥0∞}
(εpos : ε ≠ 0) :
∃ g : α → ℝ≥0∞,
(∀ x, f x ≤ g x) ∧ LowerSemicontinuous g ∧ (∫⁻ x, g x ∂μ) ≤ (∫⁻ x, f x ∂μ) + ε := by
rcases ENNReal.exists_pos_sum_of_countable' εpos ℕ with ⟨δ, δpos, hδ⟩
have :
∀ n,
∃ g : α → ℝ≥0,
(∀ x, SimpleFunc.eapproxDiff f n x ≤ g x) ∧
LowerSemicontinuous g ∧
(∫⁻ x, g x ∂μ) ≤ (∫⁻ x, SimpleFunc.eapproxDiff f n x ∂μ) + δ n :=
fun n =>
SimpleFunc.exists_le_lowerSemicontinuous_lintegral_ge μ (SimpleFunc.eapproxDiff f n)
(δpos n).ne'
choose g f_le_g gcont hg using this
refine ⟨fun x => ∑' n, g n x, fun x => ?_, ?_, ?_⟩
· rw [← SimpleFunc.tsum_eapproxDiff f hf]
exact ENNReal.tsum_le_tsum fun n => ENNReal.coe_le_coe.2 (f_le_g n x)
· refine lowerSemicontinuous_tsum fun n => ?_
exact
ENNReal.continuous_coe.comp_lowerSemicontinuous (gcont n) fun x y hxy =>
ENNReal.coe_le_coe.2 hxy
· calc
∫⁻ x, ∑' n : ℕ, g n x ∂μ = ∑' n, ∫⁻ x, g n x ∂μ := by
rw [lintegral_tsum fun n => (gcont n).measurable.coe_nnreal_ennreal.aemeasurable]
_ ≤ ∑' n, ((∫⁻ x, SimpleFunc.eapproxDiff f n x ∂μ) + δ n) := ENNReal.tsum_le_tsum hg
_ = ∑' n, ∫⁻ x, SimpleFunc.eapproxDiff f n x ∂μ + ∑' n, δ n := ENNReal.tsum_add
_ ≤ (∫⁻ x : α, f x ∂μ) + ε := by
refine add_le_add ?_ hδ.le
rw [← lintegral_tsum]
· simp_rw [SimpleFunc.tsum_eapproxDiff f hf, le_refl]
· intro n; exact (SimpleFunc.measurable _).coe_nnreal_ennreal.aemeasurable
#align measure_theory.exists_le_lower_semicontinuous_lintegral_ge MeasureTheory.exists_le_lowerSemicontinuous_lintegral_ge
/-- Given a measurable function `f` with values in `ℝ≥0` in a sigma-finite space, there exists a
lower semicontinuous function `g > f` with integral arbitrarily close to that of `f`.
Formulation in terms of `lintegral`.
Auxiliary lemma for Vitali-Carathéodory theorem `exists_lt_lower_semicontinuous_integral_lt`. -/
theorem exists_lt_lowerSemicontinuous_lintegral_ge [SigmaFinite μ] (f : α → ℝ≥0)
(fmeas : Measurable f) {ε : ℝ≥0∞} (ε0 : ε ≠ 0) :
∃ g : α → ℝ≥0∞,
(∀ x, (f x : ℝ≥0∞) < g x) ∧ LowerSemicontinuous g ∧ (∫⁻ x, g x ∂μ) ≤ (∫⁻ x, f x ∂μ) + ε := by
have : ε / 2 ≠ 0 := (ENNReal.half_pos ε0).ne'
rcases exists_pos_lintegral_lt_of_sigmaFinite μ this with ⟨w, wpos, wmeas, wint⟩
let f' x := ((f x + w x : ℝ≥0) : ℝ≥0∞)
rcases exists_le_lowerSemicontinuous_lintegral_ge μ f' (fmeas.add wmeas).coe_nnreal_ennreal
this with
⟨g, le_g, gcont, gint⟩
refine ⟨g, fun x => ?_, gcont, ?_⟩
· calc
(f x : ℝ≥0∞) < f' x := by
simpa only [← ENNReal.coe_lt_coe, add_zero] using add_lt_add_left (wpos x) (f x)
_ ≤ g x := le_g x
· calc
(∫⁻ x : α, g x ∂μ) ≤ (∫⁻ x : α, f x + w x ∂μ) + ε / 2 := gint
_ = ((∫⁻ x : α, f x ∂μ) + ∫⁻ x : α, w x ∂μ) + ε / 2 := by
rw [lintegral_add_right _ wmeas.coe_nnreal_ennreal]
_ ≤ (∫⁻ x : α, f x ∂μ) + ε / 2 + ε / 2 := add_le_add_right (add_le_add_left wint.le _) _
_ = (∫⁻ x : α, f x ∂μ) + ε := by rw [add_assoc, ENNReal.add_halves]
#align measure_theory.exists_lt_lower_semicontinuous_lintegral_ge MeasureTheory.exists_lt_lowerSemicontinuous_lintegral_ge
/-- Given an almost everywhere measurable function `f` with values in `ℝ≥0` in a sigma-finite space,
there exists a lower semicontinuous function `g > f` with integral arbitrarily close to that of `f`.
Formulation in terms of `lintegral`.
Auxiliary lemma for Vitali-Carathéodory theorem `exists_lt_lower_semicontinuous_integral_lt`. -/
theorem exists_lt_lowerSemicontinuous_lintegral_ge_of_aemeasurable [SigmaFinite μ] (f : α → ℝ≥0)
(fmeas : AEMeasurable f μ) {ε : ℝ≥0∞} (ε0 : ε ≠ 0) :
∃ g : α → ℝ≥0∞,
(∀ x, (f x : ℝ≥0∞) < g x) ∧ LowerSemicontinuous g ∧ (∫⁻ x, g x ∂μ) ≤ (∫⁻ x, f x ∂μ) + ε := by
have : ε / 2 ≠ 0 := (ENNReal.half_pos ε0).ne'
rcases exists_lt_lowerSemicontinuous_lintegral_ge μ (fmeas.mk f) fmeas.measurable_mk this with
⟨g0, f_lt_g0, g0_cont, g0_int⟩
rcases exists_measurable_superset_of_null fmeas.ae_eq_mk with ⟨s, hs, smeas, μs⟩
rcases exists_le_lowerSemicontinuous_lintegral_ge μ (s.indicator fun _x => ∞)
(measurable_const.indicator smeas) this with
⟨g1, le_g1, g1_cont, g1_int⟩
refine ⟨fun x => g0 x + g1 x, fun x => ?_, g0_cont.add g1_cont, ?_⟩
· by_cases h : x ∈ s
· have := le_g1 x
simp only [h, Set.indicator_of_mem, top_le_iff] at this
simp [this]
· have : f x = fmeas.mk f x := by rw [Set.compl_subset_comm] at hs; exact hs h
rw [this]
exact (f_lt_g0 x).trans_le le_self_add
· calc
∫⁻ x, g0 x + g1 x ∂μ = (∫⁻ x, g0 x ∂μ) + ∫⁻ x, g1 x ∂μ :=
lintegral_add_left g0_cont.measurable _
_ ≤ (∫⁻ x, f x ∂μ) + ε / 2 + (0 + ε / 2) := by
refine add_le_add ?_ ?_
· convert g0_int using 2
exact lintegral_congr_ae (fmeas.ae_eq_mk.fun_comp _)
· convert g1_int
simp only [smeas, μs, lintegral_const, Set.univ_inter, MeasurableSet.univ,
lintegral_indicator, mul_zero, restrict_apply]
_ = (∫⁻ x, f x ∂μ) + ε := by simp only [add_assoc, ENNReal.add_halves, zero_add]
#align measure_theory.exists_lt_lower_semicontinuous_lintegral_ge_of_ae_measurable MeasureTheory.exists_lt_lowerSemicontinuous_lintegral_ge_of_aemeasurable
variable {μ}
/-- Given an integrable function `f` with values in `ℝ≥0` in a sigma-finite space, there exists a
lower semicontinuous function `g > f` with integral arbitrarily close to that of `f`.
Formulation in terms of `integral`.
Auxiliary lemma for Vitali-Carathéodory theorem `exists_lt_lower_semicontinuous_integral_lt`. -/
theorem exists_lt_lowerSemicontinuous_integral_gt_nnreal [SigmaFinite μ] (f : α → ℝ≥0)
(fint : Integrable (fun x => (f x : ℝ)) μ) {ε : ℝ} (εpos : 0 < ε) :
∃ g : α → ℝ≥0∞,
(∀ x, (f x : ℝ≥0∞) < g x) ∧
LowerSemicontinuous g ∧
(∀ᵐ x ∂μ, g x < ⊤) ∧
Integrable (fun x => (g x).toReal) μ ∧ (∫ x, (g x).toReal ∂μ) < (∫ x, ↑(f x) ∂μ) + ε := by
have fmeas : AEMeasurable f μ := by
convert fint.aestronglyMeasurable.real_toNNReal.aemeasurable
simp only [Real.toNNReal_coe]
lift ε to ℝ≥0 using εpos.le
obtain ⟨δ, δpos, hδε⟩ : ∃ δ : ℝ≥0, 0 < δ ∧ δ < ε := exists_between εpos
have int_f_ne_top : (∫⁻ a : α, f a ∂μ) ≠ ∞ :=
(hasFiniteIntegral_iff_ofNNReal.1 fint.hasFiniteIntegral).ne
rcases exists_lt_lowerSemicontinuous_lintegral_ge_of_aemeasurable μ f fmeas
(ENNReal.coe_ne_zero.2 δpos.ne') with
⟨g, f_lt_g, gcont, gint⟩
have gint_ne : (∫⁻ x : α, g x ∂μ) ≠ ∞ := ne_top_of_le_ne_top (by simpa) gint
have g_lt_top : ∀ᵐ x : α ∂μ, g x < ∞ := ae_lt_top gcont.measurable gint_ne
have Ig : (∫⁻ a : α, ENNReal.ofReal (g a).toReal ∂μ) = ∫⁻ a : α, g a ∂μ := by
apply lintegral_congr_ae
filter_upwards [g_lt_top] with _ hx
simp only [hx.ne, ENNReal.ofReal_toReal, Ne, not_false_iff]
refine ⟨g, f_lt_g, gcont, g_lt_top, ?_, ?_⟩
· refine ⟨gcont.measurable.ennreal_toReal.aemeasurable.aestronglyMeasurable, ?_⟩
simp only [hasFiniteIntegral_iff_norm, Real.norm_eq_abs, abs_of_nonneg ENNReal.toReal_nonneg]
convert gint_ne.lt_top using 1
· rw [integral_eq_lintegral_of_nonneg_ae, integral_eq_lintegral_of_nonneg_ae]
· calc
ENNReal.toReal (∫⁻ a : α, ENNReal.ofReal (g a).toReal ∂μ) =
ENNReal.toReal (∫⁻ a : α, g a ∂μ) := by congr 1
_ ≤ ENNReal.toReal ((∫⁻ a : α, f a ∂μ) + δ) := by
apply ENNReal.toReal_mono _ gint
simpa using int_f_ne_top
_ = ENNReal.toReal (∫⁻ a : α, f a ∂μ) + δ := by
rw [ENNReal.toReal_add int_f_ne_top ENNReal.coe_ne_top, ENNReal.coe_toReal]
_ < ENNReal.toReal (∫⁻ a : α, f a ∂μ) + ε := add_lt_add_left hδε _
_ = (∫⁻ a : α, ENNReal.ofReal ↑(f a) ∂μ).toReal + ε := by simp
· apply Filter.eventually_of_forall fun x => _; simp
· exact fmeas.coe_nnreal_real.aestronglyMeasurable
· apply Filter.eventually_of_forall fun x => _; simp
· apply gcont.measurable.ennreal_toReal.aemeasurable.aestronglyMeasurable
#align measure_theory.exists_lt_lower_semicontinuous_integral_gt_nnreal MeasureTheory.exists_lt_lowerSemicontinuous_integral_gt_nnreal
/-! ### Upper semicontinuous lower bound for nonnegative functions -/
/-- Given a simple function `f` with values in `ℝ≥0`, there exists an upper semicontinuous
function `g ≤ f` with integral arbitrarily close to that of `f`. Formulation in terms of
`lintegral`.
Auxiliary lemma for Vitali-Carathéodory theorem `exists_lt_lower_semicontinuous_integral_lt`. -/
theorem SimpleFunc.exists_upperSemicontinuous_le_lintegral_le (f : α →ₛ ℝ≥0)
(int_f : (∫⁻ x, f x ∂μ) ≠ ∞) {ε : ℝ≥0∞} (ε0 : ε ≠ 0) :
∃ g : α → ℝ≥0, (∀ x, g x ≤ f x) ∧ UpperSemicontinuous g ∧
(∫⁻ x, f x ∂μ) ≤ (∫⁻ x, g x ∂μ) + ε := by
induction' f using MeasureTheory.SimpleFunc.induction with c s hs f₁ f₂ _ h₁ h₂ generalizing ε
· by_cases hc : c = 0
· refine ⟨fun _ => 0, ?_, upperSemicontinuous_const, ?_⟩
· classical
simp only [hc, Set.indicator_zero', Pi.zero_apply, SimpleFunc.const_zero, imp_true_iff,
eq_self_iff_true, SimpleFunc.coe_zero, Set.piecewise_eq_indicator,
SimpleFunc.coe_piecewise, le_zero_iff]
· classical
simp only [hc, Set.indicator_zero', lintegral_const, zero_mul, Pi.zero_apply,
SimpleFunc.const_zero, zero_add, zero_le', SimpleFunc.coe_zero,
Set.piecewise_eq_indicator, ENNReal.coe_zero, SimpleFunc.coe_piecewise, zero_le]
have μs_lt_top : μ s < ∞ := by
classical
simpa only [hs, hc, lt_top_iff_ne_top, true_and_iff, SimpleFunc.coe_const, or_false_iff,
lintegral_const, ENNReal.coe_indicator, Set.univ_inter, ENNReal.coe_ne_top,
Measure.restrict_apply MeasurableSet.univ, ENNReal.mul_eq_top, SimpleFunc.const_zero,
Function.const_apply, lintegral_indicator, ENNReal.coe_eq_zero, Ne, not_false_iff,
SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise,
false_and_iff] using int_f
have : (0 : ℝ≥0∞) < ε / c := ENNReal.div_pos_iff.2 ⟨ε0, ENNReal.coe_ne_top⟩
obtain ⟨F, Fs, F_closed, μF⟩ : ∃ (F : _), F ⊆ s ∧ IsClosed F ∧ μ s < μ F + ε / c :=
hs.exists_isClosed_lt_add μs_lt_top.ne this.ne'
refine
⟨Set.indicator F fun _ => c, fun x => ?_, F_closed.upperSemicontinuous_indicator (zero_le _),
?_⟩
· simp only [SimpleFunc.coe_const, SimpleFunc.const_zero, SimpleFunc.coe_zero,
Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise]
exact Set.indicator_le_indicator_of_subset Fs (fun x => zero_le _) _
· suffices (c : ℝ≥0∞) * μ s ≤ c * μ F + ε by
classical
simpa only [hs, F_closed.measurableSet, SimpleFunc.coe_const, Function.const_apply,
lintegral_const, ENNReal.coe_indicator, Set.univ_inter, MeasurableSet.univ,
SimpleFunc.const_zero, lintegral_indicator, SimpleFunc.coe_zero,
Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise, Measure.restrict_apply]
calc
(c : ℝ≥0∞) * μ s ≤ c * (μ F + ε / c) := mul_le_mul_left' μF.le _
_ = c * μ F + ε := by
simp_rw [mul_add]
rw [ENNReal.mul_div_cancel' _ ENNReal.coe_ne_top]
simpa using hc
· have A : ((∫⁻ x : α, f₁ x ∂μ) + ∫⁻ x : α, f₂ x ∂μ) ≠ ⊤ := by
rwa [← lintegral_add_left f₁.measurable.coe_nnreal_ennreal]
rcases h₁ (ENNReal.add_ne_top.1 A).1 (ENNReal.half_pos ε0).ne' with
⟨g₁, f₁_le_g₁, g₁cont, g₁int⟩
rcases h₂ (ENNReal.add_ne_top.1 A).2 (ENNReal.half_pos ε0).ne' with
⟨g₂, f₂_le_g₂, g₂cont, g₂int⟩
refine
⟨fun x => g₁ x + g₂ x, fun x => add_le_add (f₁_le_g₁ x) (f₂_le_g₂ x), g₁cont.add g₂cont, ?_⟩
simp only [SimpleFunc.coe_add, ENNReal.coe_add, Pi.add_apply]
rw [lintegral_add_left f₁.measurable.coe_nnreal_ennreal,
lintegral_add_left g₁cont.measurable.coe_nnreal_ennreal]
convert add_le_add g₁int g₂int using 1
conv_lhs => rw [← ENNReal.add_halves ε]
abel
#align measure_theory.simple_func.exists_upper_semicontinuous_le_lintegral_le MeasureTheory.SimpleFunc.exists_upperSemicontinuous_le_lintegral_le
/-- Given an integrable function `f` with values in `ℝ≥0`, there exists an upper semicontinuous
function `g ≤ f` with integral arbitrarily close to that of `f`. Formulation in terms of
`lintegral`.
Auxiliary lemma for Vitali-Carathéodory theorem `exists_lt_lower_semicontinuous_integral_lt`. -/
theorem exists_upperSemicontinuous_le_lintegral_le (f : α → ℝ≥0) (int_f : (∫⁻ x, f x ∂μ) ≠ ∞)
{ε : ℝ≥0∞} (ε0 : ε ≠ 0) :
∃ g : α → ℝ≥0, (∀ x, g x ≤ f x) ∧ UpperSemicontinuous g ∧
(∫⁻ x, f x ∂μ) ≤ (∫⁻ x, g x ∂μ) + ε := by
obtain ⟨fs, fs_le_f, int_fs⟩ :
∃ fs : α →ₛ ℝ≥0, (∀ x, fs x ≤ f x) ∧ (∫⁻ x, f x ∂μ) ≤ (∫⁻ x, fs x ∂μ) + ε / 2 := by
-- Porting note: need to name identifier (not `this`), because `conv_rhs at this` errors
have aux := ENNReal.lt_add_right int_f (ENNReal.half_pos ε0).ne'
conv_rhs at aux => rw [lintegral_eq_nnreal (fun x => (f x : ℝ≥0∞)) μ]
erw [ENNReal.biSup_add] at aux <;> [skip; exact ⟨0, fun x => by simp⟩]
simp only [lt_iSup_iff] at aux
rcases aux with ⟨fs, fs_le_f, int_fs⟩
refine ⟨fs, fun x => by simpa only [ENNReal.coe_le_coe] using fs_le_f x, ?_⟩
convert int_fs.le
rw [← SimpleFunc.lintegral_eq_lintegral]
simp only [SimpleFunc.coe_map, Function.comp_apply]
have int_fs_lt_top : (∫⁻ x, fs x ∂μ) ≠ ∞ := by
refine ne_top_of_le_ne_top int_f (lintegral_mono fun x => ?_)
simpa only [ENNReal.coe_le_coe] using fs_le_f x
obtain ⟨g, g_le_fs, gcont, gint⟩ :
∃ g : α → ℝ≥0,
(∀ x, g x ≤ fs x) ∧ UpperSemicontinuous g ∧ (∫⁻ x, fs x ∂μ) ≤ (∫⁻ x, g x ∂μ) + ε / 2 :=
fs.exists_upperSemicontinuous_le_lintegral_le int_fs_lt_top (ENNReal.half_pos ε0).ne'
refine ⟨g, fun x => (g_le_fs x).trans (fs_le_f x), gcont, ?_⟩
calc
(∫⁻ x, f x ∂μ) ≤ (∫⁻ x, fs x ∂μ) + ε / 2 := int_fs
_ ≤ (∫⁻ x, g x ∂μ) + ε / 2 + ε / 2 := add_le_add gint le_rfl
_ = (∫⁻ x, g x ∂μ) + ε := by rw [add_assoc, ENNReal.add_halves]
#align measure_theory.exists_upper_semicontinuous_le_lintegral_le MeasureTheory.exists_upperSemicontinuous_le_lintegral_le
/-- Given an integrable function `f` with values in `ℝ≥0`, there exists an upper semicontinuous
function `g ≤ f` with integral arbitrarily close to that of `f`. Formulation in terms of
`integral`.
Auxiliary lemma for Vitali-Carathéodory theorem `exists_lt_lower_semicontinuous_integral_lt`. -/
theorem exists_upperSemicontinuous_le_integral_le (f : α → ℝ≥0)
(fint : Integrable (fun x => (f x : ℝ)) μ) {ε : ℝ} (εpos : 0 < ε) :
∃ g : α → ℝ≥0,
(∀ x, g x ≤ f x) ∧
UpperSemicontinuous g ∧
Integrable (fun x => (g x : ℝ)) μ ∧ (∫ x, (f x : ℝ) ∂μ) - ε ≤ ∫ x, ↑(g x) ∂μ := by
lift ε to ℝ≥0 using εpos.le
rw [NNReal.coe_pos, ← ENNReal.coe_pos] at εpos
have If : (∫⁻ x, f x ∂μ) < ∞ := hasFiniteIntegral_iff_ofNNReal.1 fint.hasFiniteIntegral
rcases exists_upperSemicontinuous_le_lintegral_le f If.ne εpos.ne' with ⟨g, gf, gcont, gint⟩
have Ig : (∫⁻ x, g x ∂μ) < ∞ := by
refine lt_of_le_of_lt (lintegral_mono fun x => ?_) If
simpa using gf x
refine ⟨g, gf, gcont, ?_, ?_⟩
· refine
Integrable.mono fint gcont.measurable.coe_nnreal_real.aemeasurable.aestronglyMeasurable ?_
exact Filter.eventually_of_forall fun x => by simp [gf x]
· rw [integral_eq_lintegral_of_nonneg_ae, integral_eq_lintegral_of_nonneg_ae]
· rw [sub_le_iff_le_add]
convert ENNReal.toReal_mono _ gint
· simp
· rw [ENNReal.toReal_add Ig.ne ENNReal.coe_ne_top]; simp
· simpa using Ig.ne
· apply Filter.eventually_of_forall; simp
· exact gcont.measurable.coe_nnreal_real.aemeasurable.aestronglyMeasurable
· apply Filter.eventually_of_forall; simp
· exact fint.aestronglyMeasurable
#align measure_theory.exists_upper_semicontinuous_le_integral_le MeasureTheory.exists_upperSemicontinuous_le_integral_le
/-! ### Vitali-Carathéodory theorem -/
/-- **Vitali-Carathéodory Theorem**: given an integrable real function `f`, there exists an
integrable function `g > f` which is lower semicontinuous, with integral arbitrarily close
to that of `f`. This function has to be `EReal`-valued in general. -/
| Mathlib/MeasureTheory/Integral/VitaliCaratheodory.lean | 456 | 529 | theorem exists_lt_lowerSemicontinuous_integral_lt [SigmaFinite μ] (f : α → ℝ) (hf : Integrable f μ)
{ε : ℝ} (εpos : 0 < ε) :
∃ g : α → EReal,
(∀ x, (f x : EReal) < g x) ∧
LowerSemicontinuous g ∧
Integrable (fun x => EReal.toReal (g x)) μ ∧
(∀ᵐ x ∂μ, g x < ⊤) ∧ (∫ x, EReal.toReal (g x) ∂μ) < (∫ x, f x ∂μ) + ε := by |
let δ : ℝ≥0 := ⟨ε / 2, (half_pos εpos).le⟩
have δpos : 0 < δ := half_pos εpos
let fp : α → ℝ≥0 := fun x => Real.toNNReal (f x)
have int_fp : Integrable (fun x => (fp x : ℝ)) μ := hf.real_toNNReal
rcases exists_lt_lowerSemicontinuous_integral_gt_nnreal fp int_fp δpos with
⟨gp, fp_lt_gp, gpcont, gp_lt_top, gp_integrable, gpint⟩
let fm : α → ℝ≥0 := fun x => Real.toNNReal (-f x)
have int_fm : Integrable (fun x => (fm x : ℝ)) μ := hf.neg.real_toNNReal
rcases exists_upperSemicontinuous_le_integral_le fm int_fm δpos with
⟨gm, gm_le_fm, gmcont, gm_integrable, gmint⟩
let g : α → EReal := fun x => (gp x : EReal) - gm x
have ae_g : ∀ᵐ x ∂μ, (g x).toReal = (gp x : EReal).toReal - (gm x : EReal).toReal := by
filter_upwards [gp_lt_top] with _ hx
rw [EReal.toReal_sub] <;> simp [hx.ne]
refine ⟨g, ?lt, ?lsc, ?int, ?aelt, ?intlt⟩
case int =>
show Integrable (fun x => EReal.toReal (g x)) μ
rw [integrable_congr ae_g]
convert gp_integrable.sub gm_integrable
simp
case intlt =>
show (∫ x : α, (g x).toReal ∂μ) < (∫ x : α, f x ∂μ) + ε;
exact
calc
(∫ x : α, (g x).toReal ∂μ) = ∫ x : α, EReal.toReal (gp x) - EReal.toReal (gm x) ∂μ :=
integral_congr_ae ae_g
_ = (∫ x : α, EReal.toReal (gp x) ∂μ) - ∫ x : α, ↑(gm x) ∂μ := by
simp only [EReal.toReal_coe_ennreal, ENNReal.coe_toReal]
exact integral_sub gp_integrable gm_integrable
_ < (∫ x : α, ↑(fp x) ∂μ) + ↑δ - ∫ x : α, ↑(gm x) ∂μ := by
apply sub_lt_sub_right
convert gpint
simp only [EReal.toReal_coe_ennreal]
_ ≤ (∫ x : α, ↑(fp x) ∂μ) + ↑δ - ((∫ x : α, ↑(fm x) ∂μ) - δ) := sub_le_sub_left gmint _
_ = (∫ x : α, f x ∂μ) + 2 * δ := by
simp_rw [integral_eq_integral_pos_part_sub_integral_neg_part hf]; ring
_ = (∫ x : α, f x ∂μ) + ε := by congr 1; field_simp [δ, mul_comm]
case aelt =>
show ∀ᵐ x : α ∂μ, g x < ⊤
filter_upwards [gp_lt_top] with ?_ hx
simp only [g, sub_eq_add_neg, Ne, (EReal.add_lt_top _ _).ne, lt_top_iff_ne_top,
lt_top_iff_ne_top.1 hx, EReal.coe_ennreal_eq_top_iff, not_false_iff, EReal.neg_eq_top_iff,
EReal.coe_ennreal_ne_bot]
case lt =>
show ∀ x, (f x : EReal) < g x
intro x
rw [EReal.coe_real_ereal_eq_coe_toNNReal_sub_coe_toNNReal (f x)]
refine EReal.sub_lt_sub_of_lt_of_le ?_ ?_ ?_ ?_
· simp only [EReal.coe_ennreal_lt_coe_ennreal_iff]; exact fp_lt_gp x
· simp only [ENNReal.coe_le_coe, EReal.coe_ennreal_le_coe_ennreal_iff]
exact gm_le_fm x
· simp only [EReal.coe_ennreal_ne_bot, Ne, not_false_iff]
· simp only [EReal.coe_nnreal_ne_top, Ne, not_false_iff]
case lsc =>
show LowerSemicontinuous g
apply LowerSemicontinuous.add'
· exact continuous_coe_ennreal_ereal.comp_lowerSemicontinuous gpcont fun x y hxy =>
EReal.coe_ennreal_le_coe_ennreal_iff.2 hxy
· apply continuous_neg.comp_upperSemicontinuous_antitone _ fun x y hxy =>
EReal.neg_le_neg_iff.2 hxy
dsimp
apply continuous_coe_ennreal_ereal.comp_upperSemicontinuous _ fun x y hxy =>
EReal.coe_ennreal_le_coe_ennreal_iff.2 hxy
exact ENNReal.continuous_coe.comp_upperSemicontinuous gmcont fun x y hxy =>
ENNReal.coe_le_coe.2 hxy
· intro x
exact EReal.continuousAt_add (by simp) (by simp)
|
/-
Copyright (c) 2018 Ellen Arlt. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Ellen Arlt, Blair Shi, Sean Leather, Mario Carneiro, Johan Commelin, Lu-Ming Zhang
-/
import Mathlib.Algebra.Algebra.Opposite
import Mathlib.Algebra.Algebra.Pi
import Mathlib.Algebra.BigOperators.Pi
import Mathlib.Algebra.BigOperators.Ring
import Mathlib.Algebra.BigOperators.RingEquiv
import Mathlib.Algebra.Module.LinearMap.Basic
import Mathlib.Algebra.Module.Pi
import Mathlib.Algebra.Star.BigOperators
import Mathlib.Algebra.Star.Module
import Mathlib.Algebra.Star.Pi
import Mathlib.Data.Fintype.BigOperators
import Mathlib.GroupTheory.GroupAction.BigOperators
#align_import data.matrix.basic from "leanprover-community/mathlib"@"eba5bb3155cab51d80af00e8d7d69fa271b1302b"
/-!
# Matrices
This file defines basic properties of matrices.
Matrices with rows indexed by `m`, columns indexed by `n`, and entries of type `α` are represented
with `Matrix m n α`. For the typical approach of counting rows and columns,
`Matrix (Fin m) (Fin n) α` can be used.
## Notation
The locale `Matrix` gives the following notation:
* `⬝ᵥ` for `Matrix.dotProduct`
* `*ᵥ` for `Matrix.mulVec`
* `ᵥ*` for `Matrix.vecMul`
* `ᵀ` for `Matrix.transpose`
* `ᴴ` for `Matrix.conjTranspose`
## Implementation notes
For convenience, `Matrix m n α` is defined as `m → n → α`, as this allows elements of the matrix
to be accessed with `A i j`. However, it is not advisable to _construct_ matrices using terms of the
form `fun i j ↦ _` or even `(fun i j ↦ _ : Matrix m n α)`, as these are not recognized by Lean
as having the right type. Instead, `Matrix.of` should be used.
## TODO
Under various conditions, multiplication of infinite matrices makes sense.
These have not yet been implemented.
-/
universe u u' v w
/-- `Matrix m n R` is the type of matrices with entries in `R`, whose rows are indexed by `m`
and whose columns are indexed by `n`. -/
def Matrix (m : Type u) (n : Type u') (α : Type v) : Type max u u' v :=
m → n → α
#align matrix Matrix
variable {l m n o : Type*} {m' : o → Type*} {n' : o → Type*}
variable {R : Type*} {S : Type*} {α : Type v} {β : Type w} {γ : Type*}
namespace Matrix
section Ext
variable {M N : Matrix m n α}
theorem ext_iff : (∀ i j, M i j = N i j) ↔ M = N :=
⟨fun h => funext fun i => funext <| h i, fun h => by simp [h]⟩
#align matrix.ext_iff Matrix.ext_iff
@[ext]
theorem ext : (∀ i j, M i j = N i j) → M = N :=
ext_iff.mp
#align matrix.ext Matrix.ext
end Ext
/-- Cast a function into a matrix.
The two sides of the equivalence are definitionally equal types. We want to use an explicit cast
to distinguish the types because `Matrix` has different instances to pi types (such as `Pi.mul`,
which performs elementwise multiplication, vs `Matrix.mul`).
If you are defining a matrix, in terms of its entries, use `of (fun i j ↦ _)`. The
purpose of this approach is to ensure that terms of the form `(fun i j ↦ _) * (fun i j ↦ _)` do not
appear, as the type of `*` can be misleading.
Porting note: In Lean 3, it is also safe to use pattern matching in a definition as `| i j := _`,
which can only be unfolded when fully-applied. leanprover/lean4#2042 means this does not
(currently) work in Lean 4.
-/
def of : (m → n → α) ≃ Matrix m n α :=
Equiv.refl _
#align matrix.of Matrix.of
@[simp]
theorem of_apply (f : m → n → α) (i j) : of f i j = f i j :=
rfl
#align matrix.of_apply Matrix.of_apply
@[simp]
theorem of_symm_apply (f : Matrix m n α) (i j) : of.symm f i j = f i j :=
rfl
#align matrix.of_symm_apply Matrix.of_symm_apply
/-- `M.map f` is the matrix obtained by applying `f` to each entry of the matrix `M`.
This is available in bundled forms as:
* `AddMonoidHom.mapMatrix`
* `LinearMap.mapMatrix`
* `RingHom.mapMatrix`
* `AlgHom.mapMatrix`
* `Equiv.mapMatrix`
* `AddEquiv.mapMatrix`
* `LinearEquiv.mapMatrix`
* `RingEquiv.mapMatrix`
* `AlgEquiv.mapMatrix`
-/
def map (M : Matrix m n α) (f : α → β) : Matrix m n β :=
of fun i j => f (M i j)
#align matrix.map Matrix.map
@[simp]
theorem map_apply {M : Matrix m n α} {f : α → β} {i : m} {j : n} : M.map f i j = f (M i j) :=
rfl
#align matrix.map_apply Matrix.map_apply
@[simp]
theorem map_id (M : Matrix m n α) : M.map id = M := by
ext
rfl
#align matrix.map_id Matrix.map_id
@[simp]
theorem map_id' (M : Matrix m n α) : M.map (·) = M := map_id M
@[simp]
theorem map_map {M : Matrix m n α} {β γ : Type*} {f : α → β} {g : β → γ} :
(M.map f).map g = M.map (g ∘ f) := by
ext
rfl
#align matrix.map_map Matrix.map_map
theorem map_injective {f : α → β} (hf : Function.Injective f) :
Function.Injective fun M : Matrix m n α => M.map f := fun _ _ h =>
ext fun i j => hf <| ext_iff.mpr h i j
#align matrix.map_injective Matrix.map_injective
/-- The transpose of a matrix. -/
def transpose (M : Matrix m n α) : Matrix n m α :=
of fun x y => M y x
#align matrix.transpose Matrix.transpose
-- TODO: set as an equation lemma for `transpose`, see mathlib4#3024
@[simp]
theorem transpose_apply (M : Matrix m n α) (i j) : transpose M i j = M j i :=
rfl
#align matrix.transpose_apply Matrix.transpose_apply
@[inherit_doc]
scoped postfix:1024 "ᵀ" => Matrix.transpose
/-- The conjugate transpose of a matrix defined in term of `star`. -/
def conjTranspose [Star α] (M : Matrix m n α) : Matrix n m α :=
M.transpose.map star
#align matrix.conj_transpose Matrix.conjTranspose
@[inherit_doc]
scoped postfix:1024 "ᴴ" => Matrix.conjTranspose
instance inhabited [Inhabited α] : Inhabited (Matrix m n α) :=
inferInstanceAs <| Inhabited <| m → n → α
-- Porting note: new, Lean3 found this automatically
instance decidableEq [DecidableEq α] [Fintype m] [Fintype n] : DecidableEq (Matrix m n α) :=
Fintype.decidablePiFintype
instance {n m} [Fintype m] [DecidableEq m] [Fintype n] [DecidableEq n] (α) [Fintype α] :
Fintype (Matrix m n α) := inferInstanceAs (Fintype (m → n → α))
instance {n m} [Finite m] [Finite n] (α) [Finite α] :
Finite (Matrix m n α) := inferInstanceAs (Finite (m → n → α))
instance add [Add α] : Add (Matrix m n α) :=
Pi.instAdd
instance addSemigroup [AddSemigroup α] : AddSemigroup (Matrix m n α) :=
Pi.addSemigroup
instance addCommSemigroup [AddCommSemigroup α] : AddCommSemigroup (Matrix m n α) :=
Pi.addCommSemigroup
instance zero [Zero α] : Zero (Matrix m n α) :=
Pi.instZero
instance addZeroClass [AddZeroClass α] : AddZeroClass (Matrix m n α) :=
Pi.addZeroClass
instance addMonoid [AddMonoid α] : AddMonoid (Matrix m n α) :=
Pi.addMonoid
instance addCommMonoid [AddCommMonoid α] : AddCommMonoid (Matrix m n α) :=
Pi.addCommMonoid
instance neg [Neg α] : Neg (Matrix m n α) :=
Pi.instNeg
instance sub [Sub α] : Sub (Matrix m n α) :=
Pi.instSub
instance addGroup [AddGroup α] : AddGroup (Matrix m n α) :=
Pi.addGroup
instance addCommGroup [AddCommGroup α] : AddCommGroup (Matrix m n α) :=
Pi.addCommGroup
instance unique [Unique α] : Unique (Matrix m n α) :=
Pi.unique
instance subsingleton [Subsingleton α] : Subsingleton (Matrix m n α) :=
inferInstanceAs <| Subsingleton <| m → n → α
instance nonempty [Nonempty m] [Nonempty n] [Nontrivial α] : Nontrivial (Matrix m n α) :=
Function.nontrivial
instance smul [SMul R α] : SMul R (Matrix m n α) :=
Pi.instSMul
instance smulCommClass [SMul R α] [SMul S α] [SMulCommClass R S α] :
SMulCommClass R S (Matrix m n α) :=
Pi.smulCommClass
instance isScalarTower [SMul R S] [SMul R α] [SMul S α] [IsScalarTower R S α] :
IsScalarTower R S (Matrix m n α) :=
Pi.isScalarTower
instance isCentralScalar [SMul R α] [SMul Rᵐᵒᵖ α] [IsCentralScalar R α] :
IsCentralScalar R (Matrix m n α) :=
Pi.isCentralScalar
instance mulAction [Monoid R] [MulAction R α] : MulAction R (Matrix m n α) :=
Pi.mulAction _
instance distribMulAction [Monoid R] [AddMonoid α] [DistribMulAction R α] :
DistribMulAction R (Matrix m n α) :=
Pi.distribMulAction _
instance module [Semiring R] [AddCommMonoid α] [Module R α] : Module R (Matrix m n α) :=
Pi.module _ _ _
-- Porting note (#10756): added the following section with simp lemmas because `simp` fails
-- to apply the corresponding lemmas in the namespace `Pi`.
-- (e.g. `Pi.zero_apply` used on `OfNat.ofNat 0 i j`)
section
@[simp]
theorem zero_apply [Zero α] (i : m) (j : n) : (0 : Matrix m n α) i j = 0 := rfl
@[simp]
theorem add_apply [Add α] (A B : Matrix m n α) (i : m) (j : n) :
(A + B) i j = (A i j) + (B i j) := rfl
@[simp]
theorem smul_apply [SMul β α] (r : β) (A : Matrix m n α) (i : m) (j : n) :
(r • A) i j = r • (A i j) := rfl
@[simp]
theorem sub_apply [Sub α] (A B : Matrix m n α) (i : m) (j : n) :
(A - B) i j = (A i j) - (B i j) := rfl
@[simp]
theorem neg_apply [Neg α] (A : Matrix m n α) (i : m) (j : n) :
(-A) i j = -(A i j) := rfl
end
/-! simp-normal form pulls `of` to the outside. -/
@[simp]
theorem of_zero [Zero α] : of (0 : m → n → α) = 0 :=
rfl
#align matrix.of_zero Matrix.of_zero
@[simp]
theorem of_add_of [Add α] (f g : m → n → α) : of f + of g = of (f + g) :=
rfl
#align matrix.of_add_of Matrix.of_add_of
@[simp]
theorem of_sub_of [Sub α] (f g : m → n → α) : of f - of g = of (f - g) :=
rfl
#align matrix.of_sub_of Matrix.of_sub_of
@[simp]
theorem neg_of [Neg α] (f : m → n → α) : -of f = of (-f) :=
rfl
#align matrix.neg_of Matrix.neg_of
@[simp]
theorem smul_of [SMul R α] (r : R) (f : m → n → α) : r • of f = of (r • f) :=
rfl
#align matrix.smul_of Matrix.smul_of
@[simp]
protected theorem map_zero [Zero α] [Zero β] (f : α → β) (h : f 0 = 0) :
(0 : Matrix m n α).map f = 0 := by
ext
simp [h]
#align matrix.map_zero Matrix.map_zero
protected theorem map_add [Add α] [Add β] (f : α → β) (hf : ∀ a₁ a₂, f (a₁ + a₂) = f a₁ + f a₂)
(M N : Matrix m n α) : (M + N).map f = M.map f + N.map f :=
ext fun _ _ => hf _ _
#align matrix.map_add Matrix.map_add
protected theorem map_sub [Sub α] [Sub β] (f : α → β) (hf : ∀ a₁ a₂, f (a₁ - a₂) = f a₁ - f a₂)
(M N : Matrix m n α) : (M - N).map f = M.map f - N.map f :=
ext fun _ _ => hf _ _
#align matrix.map_sub Matrix.map_sub
theorem map_smul [SMul R α] [SMul R β] (f : α → β) (r : R) (hf : ∀ a, f (r • a) = r • f a)
(M : Matrix m n α) : (r • M).map f = r • M.map f :=
ext fun _ _ => hf _
#align matrix.map_smul Matrix.map_smul
/-- The scalar action via `Mul.toSMul` is transformed by the same map as the elements
of the matrix, when `f` preserves multiplication. -/
theorem map_smul' [Mul α] [Mul β] (f : α → β) (r : α) (A : Matrix n n α)
(hf : ∀ a₁ a₂, f (a₁ * a₂) = f a₁ * f a₂) : (r • A).map f = f r • A.map f :=
ext fun _ _ => hf _ _
#align matrix.map_smul' Matrix.map_smul'
/-- The scalar action via `mul.toOppositeSMul` is transformed by the same map as the
elements of the matrix, when `f` preserves multiplication. -/
theorem map_op_smul' [Mul α] [Mul β] (f : α → β) (r : α) (A : Matrix n n α)
(hf : ∀ a₁ a₂, f (a₁ * a₂) = f a₁ * f a₂) :
(MulOpposite.op r • A).map f = MulOpposite.op (f r) • A.map f :=
ext fun _ _ => hf _ _
#align matrix.map_op_smul' Matrix.map_op_smul'
theorem _root_.IsSMulRegular.matrix [SMul R S] {k : R} (hk : IsSMulRegular S k) :
IsSMulRegular (Matrix m n S) k :=
IsSMulRegular.pi fun _ => IsSMulRegular.pi fun _ => hk
#align is_smul_regular.matrix IsSMulRegular.matrix
theorem _root_.IsLeftRegular.matrix [Mul α] {k : α} (hk : IsLeftRegular k) :
IsSMulRegular (Matrix m n α) k :=
hk.isSMulRegular.matrix
#align is_left_regular.matrix IsLeftRegular.matrix
instance subsingleton_of_empty_left [IsEmpty m] : Subsingleton (Matrix m n α) :=
⟨fun M N => by
ext i
exact isEmptyElim i⟩
#align matrix.subsingleton_of_empty_left Matrix.subsingleton_of_empty_left
instance subsingleton_of_empty_right [IsEmpty n] : Subsingleton (Matrix m n α) :=
⟨fun M N => by
ext i j
exact isEmptyElim j⟩
#align matrix.subsingleton_of_empty_right Matrix.subsingleton_of_empty_right
end Matrix
open Matrix
namespace Matrix
section Diagonal
variable [DecidableEq n]
/-- `diagonal d` is the square matrix such that `(diagonal d) i i = d i` and `(diagonal d) i j = 0`
if `i ≠ j`.
Note that bundled versions exist as:
* `Matrix.diagonalAddMonoidHom`
* `Matrix.diagonalLinearMap`
* `Matrix.diagonalRingHom`
* `Matrix.diagonalAlgHom`
-/
def diagonal [Zero α] (d : n → α) : Matrix n n α :=
of fun i j => if i = j then d i else 0
#align matrix.diagonal Matrix.diagonal
-- TODO: set as an equation lemma for `diagonal`, see mathlib4#3024
theorem diagonal_apply [Zero α] (d : n → α) (i j) : diagonal d i j = if i = j then d i else 0 :=
rfl
#align matrix.diagonal_apply Matrix.diagonal_apply
@[simp]
theorem diagonal_apply_eq [Zero α] (d : n → α) (i : n) : (diagonal d) i i = d i := by
simp [diagonal]
#align matrix.diagonal_apply_eq Matrix.diagonal_apply_eq
@[simp]
theorem diagonal_apply_ne [Zero α] (d : n → α) {i j : n} (h : i ≠ j) : (diagonal d) i j = 0 := by
simp [diagonal, h]
#align matrix.diagonal_apply_ne Matrix.diagonal_apply_ne
theorem diagonal_apply_ne' [Zero α] (d : n → α) {i j : n} (h : j ≠ i) : (diagonal d) i j = 0 :=
diagonal_apply_ne d h.symm
#align matrix.diagonal_apply_ne' Matrix.diagonal_apply_ne'
@[simp]
theorem diagonal_eq_diagonal_iff [Zero α] {d₁ d₂ : n → α} :
diagonal d₁ = diagonal d₂ ↔ ∀ i, d₁ i = d₂ i :=
⟨fun h i => by simpa using congr_arg (fun m : Matrix n n α => m i i) h, fun h => by
rw [show d₁ = d₂ from funext h]⟩
#align matrix.diagonal_eq_diagonal_iff Matrix.diagonal_eq_diagonal_iff
theorem diagonal_injective [Zero α] : Function.Injective (diagonal : (n → α) → Matrix n n α) :=
fun d₁ d₂ h => funext fun i => by simpa using Matrix.ext_iff.mpr h i i
#align matrix.diagonal_injective Matrix.diagonal_injective
@[simp]
theorem diagonal_zero [Zero α] : (diagonal fun _ => 0 : Matrix n n α) = 0 := by
ext
simp [diagonal]
#align matrix.diagonal_zero Matrix.diagonal_zero
@[simp]
theorem diagonal_transpose [Zero α] (v : n → α) : (diagonal v)ᵀ = diagonal v := by
ext i j
by_cases h : i = j
· simp [h, transpose]
· simp [h, transpose, diagonal_apply_ne' _ h]
#align matrix.diagonal_transpose Matrix.diagonal_transpose
@[simp]
theorem diagonal_add [AddZeroClass α] (d₁ d₂ : n → α) :
diagonal d₁ + diagonal d₂ = diagonal fun i => d₁ i + d₂ i := by
ext i j
by_cases h : i = j <;>
simp [h]
#align matrix.diagonal_add Matrix.diagonal_add
@[simp]
theorem diagonal_smul [Zero α] [SMulZeroClass R α] (r : R) (d : n → α) :
diagonal (r • d) = r • diagonal d := by
ext i j
by_cases h : i = j <;> simp [h]
#align matrix.diagonal_smul Matrix.diagonal_smul
@[simp]
theorem diagonal_neg [NegZeroClass α] (d : n → α) :
-diagonal d = diagonal fun i => -d i := by
ext i j
by_cases h : i = j <;>
simp [h]
#align matrix.diagonal_neg Matrix.diagonal_neg
@[simp]
theorem diagonal_sub [SubNegZeroMonoid α] (d₁ d₂ : n → α) :
diagonal d₁ - diagonal d₂ = diagonal fun i => d₁ i - d₂ i := by
ext i j
by_cases h : i = j <;>
simp [h]
instance [Zero α] [NatCast α] : NatCast (Matrix n n α) where
natCast m := diagonal fun _ => m
@[norm_cast]
theorem diagonal_natCast [Zero α] [NatCast α] (m : ℕ) : diagonal (fun _ : n => (m : α)) = m := rfl
@[norm_cast]
theorem diagonal_natCast' [Zero α] [NatCast α] (m : ℕ) : diagonal ((m : n → α)) = m := rfl
-- See note [no_index around OfNat.ofNat]
theorem diagonal_ofNat [Zero α] [NatCast α] (m : ℕ) [m.AtLeastTwo] :
diagonal (fun _ : n => no_index (OfNat.ofNat m : α)) = OfNat.ofNat m := rfl
-- See note [no_index around OfNat.ofNat]
theorem diagonal_ofNat' [Zero α] [NatCast α] (m : ℕ) [m.AtLeastTwo] :
diagonal (no_index (OfNat.ofNat m : n → α)) = OfNat.ofNat m := rfl
instance [Zero α] [IntCast α] : IntCast (Matrix n n α) where
intCast m := diagonal fun _ => m
@[norm_cast]
theorem diagonal_intCast [Zero α] [IntCast α] (m : ℤ) : diagonal (fun _ : n => (m : α)) = m := rfl
@[norm_cast]
theorem diagonal_intCast' [Zero α] [IntCast α] (m : ℤ) : diagonal ((m : n → α)) = m := rfl
variable (n α)
/-- `Matrix.diagonal` as an `AddMonoidHom`. -/
@[simps]
def diagonalAddMonoidHom [AddZeroClass α] : (n → α) →+ Matrix n n α where
toFun := diagonal
map_zero' := diagonal_zero
map_add' x y := (diagonal_add x y).symm
#align matrix.diagonal_add_monoid_hom Matrix.diagonalAddMonoidHom
variable (R)
/-- `Matrix.diagonal` as a `LinearMap`. -/
@[simps]
def diagonalLinearMap [Semiring R] [AddCommMonoid α] [Module R α] : (n → α) →ₗ[R] Matrix n n α :=
{ diagonalAddMonoidHom n α with map_smul' := diagonal_smul }
#align matrix.diagonal_linear_map Matrix.diagonalLinearMap
variable {n α R}
@[simp]
theorem diagonal_map [Zero α] [Zero β] {f : α → β} (h : f 0 = 0) {d : n → α} :
(diagonal d).map f = diagonal fun m => f (d m) := by
ext
simp only [diagonal_apply, map_apply]
split_ifs <;> simp [h]
#align matrix.diagonal_map Matrix.diagonal_map
@[simp]
theorem diagonal_conjTranspose [AddMonoid α] [StarAddMonoid α] (v : n → α) :
(diagonal v)ᴴ = diagonal (star v) := by
rw [conjTranspose, diagonal_transpose, diagonal_map (star_zero _)]
rfl
#align matrix.diagonal_conj_transpose Matrix.diagonal_conjTranspose
section One
variable [Zero α] [One α]
instance one : One (Matrix n n α) :=
⟨diagonal fun _ => 1⟩
@[simp]
theorem diagonal_one : (diagonal fun _ => 1 : Matrix n n α) = 1 :=
rfl
#align matrix.diagonal_one Matrix.diagonal_one
theorem one_apply {i j} : (1 : Matrix n n α) i j = if i = j then 1 else 0 :=
rfl
#align matrix.one_apply Matrix.one_apply
@[simp]
theorem one_apply_eq (i) : (1 : Matrix n n α) i i = 1 :=
diagonal_apply_eq _ i
#align matrix.one_apply_eq Matrix.one_apply_eq
@[simp]
theorem one_apply_ne {i j} : i ≠ j → (1 : Matrix n n α) i j = 0 :=
diagonal_apply_ne _
#align matrix.one_apply_ne Matrix.one_apply_ne
theorem one_apply_ne' {i j} : j ≠ i → (1 : Matrix n n α) i j = 0 :=
diagonal_apply_ne' _
#align matrix.one_apply_ne' Matrix.one_apply_ne'
@[simp]
theorem map_one [Zero β] [One β] (f : α → β) (h₀ : f 0 = 0) (h₁ : f 1 = 1) :
(1 : Matrix n n α).map f = (1 : Matrix n n β) := by
ext
simp only [one_apply, map_apply]
split_ifs <;> simp [h₀, h₁]
#align matrix.map_one Matrix.map_one
-- Porting note: added implicit argument `(f := fun_ => α)`, why is that needed?
theorem one_eq_pi_single {i j} : (1 : Matrix n n α) i j = Pi.single (f := fun _ => α) i 1 j := by
simp only [one_apply, Pi.single_apply, eq_comm]
#align matrix.one_eq_pi_single Matrix.one_eq_pi_single
lemma zero_le_one_elem [Preorder α] [ZeroLEOneClass α] (i j : n) :
0 ≤ (1 : Matrix n n α) i j := by
by_cases hi : i = j <;> simp [hi]
lemma zero_le_one_row [Preorder α] [ZeroLEOneClass α] (i : n) :
0 ≤ (1 : Matrix n n α) i :=
zero_le_one_elem i
end One
instance instAddMonoidWithOne [AddMonoidWithOne α] : AddMonoidWithOne (Matrix n n α) where
natCast_zero := show diagonal _ = _ by
rw [Nat.cast_zero, diagonal_zero]
natCast_succ n := show diagonal _ = diagonal _ + _ by
rw [Nat.cast_succ, ← diagonal_add, diagonal_one]
instance instAddGroupWithOne [AddGroupWithOne α] : AddGroupWithOne (Matrix n n α) where
intCast_ofNat n := show diagonal _ = diagonal _ by
rw [Int.cast_natCast]
intCast_negSucc n := show diagonal _ = -(diagonal _) by
rw [Int.cast_negSucc, diagonal_neg]
__ := addGroup
__ := instAddMonoidWithOne
instance instAddCommMonoidWithOne [AddCommMonoidWithOne α] :
AddCommMonoidWithOne (Matrix n n α) where
__ := addCommMonoid
__ := instAddMonoidWithOne
instance instAddCommGroupWithOne [AddCommGroupWithOne α] :
AddCommGroupWithOne (Matrix n n α) where
__ := addCommGroup
__ := instAddGroupWithOne
section Numeral
set_option linter.deprecated false
@[deprecated, simp]
theorem bit0_apply [Add α] (M : Matrix m m α) (i : m) (j : m) : (bit0 M) i j = bit0 (M i j) :=
rfl
#align matrix.bit0_apply Matrix.bit0_apply
variable [AddZeroClass α] [One α]
@[deprecated]
theorem bit1_apply (M : Matrix n n α) (i : n) (j : n) :
(bit1 M) i j = if i = j then bit1 (M i j) else bit0 (M i j) := by
dsimp [bit1]
by_cases h : i = j <;>
simp [h]
#align matrix.bit1_apply Matrix.bit1_apply
@[deprecated, simp]
theorem bit1_apply_eq (M : Matrix n n α) (i : n) : (bit1 M) i i = bit1 (M i i) := by
simp [bit1_apply]
#align matrix.bit1_apply_eq Matrix.bit1_apply_eq
@[deprecated, simp]
theorem bit1_apply_ne (M : Matrix n n α) {i j : n} (h : i ≠ j) : (bit1 M) i j = bit0 (M i j) := by
simp [bit1_apply, h]
#align matrix.bit1_apply_ne Matrix.bit1_apply_ne
end Numeral
end Diagonal
section Diag
/-- The diagonal of a square matrix. -/
-- @[simp] -- Porting note: simpNF does not like this.
def diag (A : Matrix n n α) (i : n) : α :=
A i i
#align matrix.diag Matrix.diag
-- Porting note: new, because of removed `simp` above.
-- TODO: set as an equation lemma for `diag`, see mathlib4#3024
@[simp]
theorem diag_apply (A : Matrix n n α) (i) : diag A i = A i i :=
rfl
@[simp]
theorem diag_diagonal [DecidableEq n] [Zero α] (a : n → α) : diag (diagonal a) = a :=
funext <| @diagonal_apply_eq _ _ _ _ a
#align matrix.diag_diagonal Matrix.diag_diagonal
@[simp]
theorem diag_transpose (A : Matrix n n α) : diag Aᵀ = diag A :=
rfl
#align matrix.diag_transpose Matrix.diag_transpose
@[simp]
theorem diag_zero [Zero α] : diag (0 : Matrix n n α) = 0 :=
rfl
#align matrix.diag_zero Matrix.diag_zero
@[simp]
theorem diag_add [Add α] (A B : Matrix n n α) : diag (A + B) = diag A + diag B :=
rfl
#align matrix.diag_add Matrix.diag_add
@[simp]
theorem diag_sub [Sub α] (A B : Matrix n n α) : diag (A - B) = diag A - diag B :=
rfl
#align matrix.diag_sub Matrix.diag_sub
@[simp]
theorem diag_neg [Neg α] (A : Matrix n n α) : diag (-A) = -diag A :=
rfl
#align matrix.diag_neg Matrix.diag_neg
@[simp]
theorem diag_smul [SMul R α] (r : R) (A : Matrix n n α) : diag (r • A) = r • diag A :=
rfl
#align matrix.diag_smul Matrix.diag_smul
@[simp]
theorem diag_one [DecidableEq n] [Zero α] [One α] : diag (1 : Matrix n n α) = 1 :=
diag_diagonal _
#align matrix.diag_one Matrix.diag_one
variable (n α)
/-- `Matrix.diag` as an `AddMonoidHom`. -/
@[simps]
def diagAddMonoidHom [AddZeroClass α] : Matrix n n α →+ n → α where
toFun := diag
map_zero' := diag_zero
map_add' := diag_add
#align matrix.diag_add_monoid_hom Matrix.diagAddMonoidHom
variable (R)
/-- `Matrix.diag` as a `LinearMap`. -/
@[simps]
def diagLinearMap [Semiring R] [AddCommMonoid α] [Module R α] : Matrix n n α →ₗ[R] n → α :=
{ diagAddMonoidHom n α with map_smul' := diag_smul }
#align matrix.diag_linear_map Matrix.diagLinearMap
variable {n α R}
theorem diag_map {f : α → β} {A : Matrix n n α} : diag (A.map f) = f ∘ diag A :=
rfl
#align matrix.diag_map Matrix.diag_map
@[simp]
theorem diag_conjTranspose [AddMonoid α] [StarAddMonoid α] (A : Matrix n n α) :
diag Aᴴ = star (diag A) :=
rfl
#align matrix.diag_conj_transpose Matrix.diag_conjTranspose
@[simp]
theorem diag_list_sum [AddMonoid α] (l : List (Matrix n n α)) : diag l.sum = (l.map diag).sum :=
map_list_sum (diagAddMonoidHom n α) l
#align matrix.diag_list_sum Matrix.diag_list_sum
@[simp]
theorem diag_multiset_sum [AddCommMonoid α] (s : Multiset (Matrix n n α)) :
diag s.sum = (s.map diag).sum :=
map_multiset_sum (diagAddMonoidHom n α) s
#align matrix.diag_multiset_sum Matrix.diag_multiset_sum
@[simp]
theorem diag_sum {ι} [AddCommMonoid α] (s : Finset ι) (f : ι → Matrix n n α) :
diag (∑ i ∈ s, f i) = ∑ i ∈ s, diag (f i) :=
map_sum (diagAddMonoidHom n α) f s
#align matrix.diag_sum Matrix.diag_sum
end Diag
section DotProduct
variable [Fintype m] [Fintype n]
/-- `dotProduct v w` is the sum of the entrywise products `v i * w i` -/
def dotProduct [Mul α] [AddCommMonoid α] (v w : m → α) : α :=
∑ i, v i * w i
#align matrix.dot_product Matrix.dotProduct
/- The precedence of 72 comes immediately after ` • ` for `SMul.smul`,
so that `r₁ • a ⬝ᵥ r₂ • b` is parsed as `(r₁ • a) ⬝ᵥ (r₂ • b)` here. -/
@[inherit_doc]
scoped infixl:72 " ⬝ᵥ " => Matrix.dotProduct
theorem dotProduct_assoc [NonUnitalSemiring α] (u : m → α) (w : n → α) (v : Matrix m n α) :
(fun j => u ⬝ᵥ fun i => v i j) ⬝ᵥ w = u ⬝ᵥ fun i => v i ⬝ᵥ w := by
simpa [dotProduct, Finset.mul_sum, Finset.sum_mul, mul_assoc] using Finset.sum_comm
#align matrix.dot_product_assoc Matrix.dotProduct_assoc
theorem dotProduct_comm [AddCommMonoid α] [CommSemigroup α] (v w : m → α) : v ⬝ᵥ w = w ⬝ᵥ v := by
simp_rw [dotProduct, mul_comm]
#align matrix.dot_product_comm Matrix.dotProduct_comm
@[simp]
theorem dotProduct_pUnit [AddCommMonoid α] [Mul α] (v w : PUnit → α) : v ⬝ᵥ w = v ⟨⟩ * w ⟨⟩ := by
simp [dotProduct]
#align matrix.dot_product_punit Matrix.dotProduct_pUnit
section MulOneClass
variable [MulOneClass α] [AddCommMonoid α]
theorem dotProduct_one (v : n → α) : v ⬝ᵥ 1 = ∑ i, v i := by simp [(· ⬝ᵥ ·)]
#align matrix.dot_product_one Matrix.dotProduct_one
theorem one_dotProduct (v : n → α) : 1 ⬝ᵥ v = ∑ i, v i := by simp [(· ⬝ᵥ ·)]
#align matrix.one_dot_product Matrix.one_dotProduct
end MulOneClass
section NonUnitalNonAssocSemiring
variable [NonUnitalNonAssocSemiring α] (u v w : m → α) (x y : n → α)
@[simp]
theorem dotProduct_zero : v ⬝ᵥ 0 = 0 := by simp [dotProduct]
#align matrix.dot_product_zero Matrix.dotProduct_zero
@[simp]
theorem dotProduct_zero' : (v ⬝ᵥ fun _ => 0) = 0 :=
dotProduct_zero v
#align matrix.dot_product_zero' Matrix.dotProduct_zero'
@[simp]
theorem zero_dotProduct : 0 ⬝ᵥ v = 0 := by simp [dotProduct]
#align matrix.zero_dot_product Matrix.zero_dotProduct
@[simp]
theorem zero_dotProduct' : (fun _ => (0 : α)) ⬝ᵥ v = 0 :=
zero_dotProduct v
#align matrix.zero_dot_product' Matrix.zero_dotProduct'
@[simp]
theorem add_dotProduct : (u + v) ⬝ᵥ w = u ⬝ᵥ w + v ⬝ᵥ w := by
simp [dotProduct, add_mul, Finset.sum_add_distrib]
#align matrix.add_dot_product Matrix.add_dotProduct
@[simp]
theorem dotProduct_add : u ⬝ᵥ (v + w) = u ⬝ᵥ v + u ⬝ᵥ w := by
simp [dotProduct, mul_add, Finset.sum_add_distrib]
#align matrix.dot_product_add Matrix.dotProduct_add
@[simp]
theorem sum_elim_dotProduct_sum_elim : Sum.elim u x ⬝ᵥ Sum.elim v y = u ⬝ᵥ v + x ⬝ᵥ y := by
simp [dotProduct]
#align matrix.sum_elim_dot_product_sum_elim Matrix.sum_elim_dotProduct_sum_elim
/-- Permuting a vector on the left of a dot product can be transferred to the right. -/
@[simp]
theorem comp_equiv_symm_dotProduct (e : m ≃ n) : u ∘ e.symm ⬝ᵥ x = u ⬝ᵥ x ∘ e :=
(e.sum_comp _).symm.trans <|
Finset.sum_congr rfl fun _ _ => by simp only [Function.comp, Equiv.symm_apply_apply]
#align matrix.comp_equiv_symm_dot_product Matrix.comp_equiv_symm_dotProduct
/-- Permuting a vector on the right of a dot product can be transferred to the left. -/
@[simp]
theorem dotProduct_comp_equiv_symm (e : n ≃ m) : u ⬝ᵥ x ∘ e.symm = u ∘ e ⬝ᵥ x := by
simpa only [Equiv.symm_symm] using (comp_equiv_symm_dotProduct u x e.symm).symm
#align matrix.dot_product_comp_equiv_symm Matrix.dotProduct_comp_equiv_symm
/-- Permuting vectors on both sides of a dot product is a no-op. -/
@[simp]
theorem comp_equiv_dotProduct_comp_equiv (e : m ≃ n) : x ∘ e ⬝ᵥ y ∘ e = x ⬝ᵥ y := by
-- Porting note: was `simp only` with all three lemmas
rw [← dotProduct_comp_equiv_symm]; simp only [Function.comp, Equiv.apply_symm_apply]
#align matrix.comp_equiv_dot_product_comp_equiv Matrix.comp_equiv_dotProduct_comp_equiv
end NonUnitalNonAssocSemiring
section NonUnitalNonAssocSemiringDecidable
variable [DecidableEq m] [NonUnitalNonAssocSemiring α] (u v w : m → α)
@[simp]
theorem diagonal_dotProduct (i : m) : diagonal v i ⬝ᵥ w = v i * w i := by
have : ∀ j ≠ i, diagonal v i j * w j = 0 := fun j hij => by
simp [diagonal_apply_ne' _ hij]
convert Finset.sum_eq_single i (fun j _ => this j) _ using 1 <;> simp
#align matrix.diagonal_dot_product Matrix.diagonal_dotProduct
@[simp]
theorem dotProduct_diagonal (i : m) : v ⬝ᵥ diagonal w i = v i * w i := by
have : ∀ j ≠ i, v j * diagonal w i j = 0 := fun j hij => by
simp [diagonal_apply_ne' _ hij]
convert Finset.sum_eq_single i (fun j _ => this j) _ using 1 <;> simp
#align matrix.dot_product_diagonal Matrix.dotProduct_diagonal
@[simp]
theorem dotProduct_diagonal' (i : m) : (v ⬝ᵥ fun j => diagonal w j i) = v i * w i := by
have : ∀ j ≠ i, v j * diagonal w j i = 0 := fun j hij => by
simp [diagonal_apply_ne _ hij]
convert Finset.sum_eq_single i (fun j _ => this j) _ using 1 <;> simp
#align matrix.dot_product_diagonal' Matrix.dotProduct_diagonal'
@[simp]
theorem single_dotProduct (x : α) (i : m) : Pi.single i x ⬝ᵥ v = x * v i := by
-- Porting note: (implicit arg) added `(f := fun _ => α)`
have : ∀ j ≠ i, Pi.single (f := fun _ => α) i x j * v j = 0 := fun j hij => by
simp [Pi.single_eq_of_ne hij]
convert Finset.sum_eq_single i (fun j _ => this j) _ using 1 <;> simp
#align matrix.single_dot_product Matrix.single_dotProduct
@[simp]
theorem dotProduct_single (x : α) (i : m) : v ⬝ᵥ Pi.single i x = v i * x := by
-- Porting note: (implicit arg) added `(f := fun _ => α)`
have : ∀ j ≠ i, v j * Pi.single (f := fun _ => α) i x j = 0 := fun j hij => by
simp [Pi.single_eq_of_ne hij]
convert Finset.sum_eq_single i (fun j _ => this j) _ using 1 <;> simp
#align matrix.dot_product_single Matrix.dotProduct_single
end NonUnitalNonAssocSemiringDecidable
section NonAssocSemiring
variable [NonAssocSemiring α]
@[simp]
theorem one_dotProduct_one : (1 : n → α) ⬝ᵥ 1 = Fintype.card n := by
simp [dotProduct]
#align matrix.one_dot_product_one Matrix.one_dotProduct_one
end NonAssocSemiring
section NonUnitalNonAssocRing
variable [NonUnitalNonAssocRing α] (u v w : m → α)
@[simp]
| Mathlib/Data/Matrix/Basic.lean | 896 | 896 | theorem neg_dotProduct : -v ⬝ᵥ w = -(v ⬝ᵥ w) := by | simp [dotProduct]
|
/-
Copyright (c) 2020 Kenji Nakagawa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenji Nakagawa, Anne Baanen, Filippo A. E. Nuccio
-/
import Mathlib.Algebra.Algebra.Subalgebra.Pointwise
import Mathlib.AlgebraicGeometry.PrimeSpectrum.Maximal
import Mathlib.AlgebraicGeometry.PrimeSpectrum.Noetherian
import Mathlib.RingTheory.ChainOfDivisors
import Mathlib.RingTheory.DedekindDomain.Basic
import Mathlib.RingTheory.FractionalIdeal.Operations
#align_import ring_theory.dedekind_domain.ideal from "leanprover-community/mathlib"@"2bbc7e3884ba234309d2a43b19144105a753292e"
/-!
# Dedekind domains and ideals
In this file, we show a ring is a Dedekind domain iff all fractional ideals are invertible.
Then we prove some results on the unique factorization monoid structure of the ideals.
## Main definitions
- `IsDedekindDomainInv` alternatively defines a Dedekind domain as an integral domain where
every nonzero fractional ideal is invertible.
- `isDedekindDomainInv_iff` shows that this does note depend on the choice of field of
fractions.
- `IsDedekindDomain.HeightOneSpectrum` defines the type of nonzero prime ideals of `R`.
## Main results:
- `isDedekindDomain_iff_isDedekindDomainInv`
- `Ideal.uniqueFactorizationMonoid`
## Implementation notes
The definitions that involve a field of fractions choose a canonical field of fractions,
but are independent of that choice. The `..._iff` lemmas express this independence.
Often, definitions assume that Dedekind domains are not fields. We found it more practical
to add a `(h : ¬ IsField A)` assumption whenever this is explicitly needed.
## References
* [D. Marcus, *Number Fields*][marcus1977number]
* [J.W.S. Cassels, A. Frölich, *Algebraic Number Theory*][cassels1967algebraic]
* [J. Neukirch, *Algebraic Number Theory*][Neukirch1992]
## Tags
dedekind domain, dedekind ring
-/
variable (R A K : Type*) [CommRing R] [CommRing A] [Field K]
open scoped nonZeroDivisors Polynomial
section Inverse
namespace FractionalIdeal
variable {R₁ : Type*} [CommRing R₁] [IsDomain R₁] [Algebra R₁ K] [IsFractionRing R₁ K]
variable {I J : FractionalIdeal R₁⁰ K}
noncomputable instance : Inv (FractionalIdeal R₁⁰ K) := ⟨fun I => 1 / I⟩
theorem inv_eq : I⁻¹ = 1 / I := rfl
#align fractional_ideal.inv_eq FractionalIdeal.inv_eq
theorem inv_zero' : (0 : FractionalIdeal R₁⁰ K)⁻¹ = 0 := div_zero
#align fractional_ideal.inv_zero' FractionalIdeal.inv_zero'
theorem inv_nonzero {J : FractionalIdeal R₁⁰ K} (h : J ≠ 0) :
J⁻¹ = ⟨(1 : FractionalIdeal R₁⁰ K) / J, fractional_div_of_nonzero h⟩ := div_nonzero h
#align fractional_ideal.inv_nonzero FractionalIdeal.inv_nonzero
theorem coe_inv_of_nonzero {J : FractionalIdeal R₁⁰ K} (h : J ≠ 0) :
(↑J⁻¹ : Submodule R₁ K) = IsLocalization.coeSubmodule K ⊤ / (J : Submodule R₁ K) := by
simp_rw [inv_nonzero _ h, coe_one, coe_mk, IsLocalization.coeSubmodule_top]
#align fractional_ideal.coe_inv_of_nonzero FractionalIdeal.coe_inv_of_nonzero
variable {K}
theorem mem_inv_iff (hI : I ≠ 0) {x : K} : x ∈ I⁻¹ ↔ ∀ y ∈ I, x * y ∈ (1 : FractionalIdeal R₁⁰ K) :=
mem_div_iff_of_nonzero hI
#align fractional_ideal.mem_inv_iff FractionalIdeal.mem_inv_iff
theorem inv_anti_mono (hI : I ≠ 0) (hJ : J ≠ 0) (hIJ : I ≤ J) : J⁻¹ ≤ I⁻¹ := by
-- Porting note: in Lean3, introducing `x` would just give `x ∈ J⁻¹ → x ∈ I⁻¹`, but
-- in Lean4, it goes all the way down to the subtypes
intro x
simp only [val_eq_coe, mem_coe, mem_inv_iff hJ, mem_inv_iff hI]
exact fun h y hy => h y (hIJ hy)
#align fractional_ideal.inv_anti_mono FractionalIdeal.inv_anti_mono
theorem le_self_mul_inv {I : FractionalIdeal R₁⁰ K} (hI : I ≤ (1 : FractionalIdeal R₁⁰ K)) :
I ≤ I * I⁻¹ :=
le_self_mul_one_div hI
#align fractional_ideal.le_self_mul_inv FractionalIdeal.le_self_mul_inv
variable (K)
theorem coe_ideal_le_self_mul_inv (I : Ideal R₁) :
(I : FractionalIdeal R₁⁰ K) ≤ I * (I : FractionalIdeal R₁⁰ K)⁻¹ :=
le_self_mul_inv coeIdeal_le_one
#align fractional_ideal.coe_ideal_le_self_mul_inv FractionalIdeal.coe_ideal_le_self_mul_inv
/-- `I⁻¹` is the inverse of `I` if `I` has an inverse. -/
theorem right_inverse_eq (I J : FractionalIdeal R₁⁰ K) (h : I * J = 1) : J = I⁻¹ := by
have hI : I ≠ 0 := ne_zero_of_mul_eq_one I J h
suffices h' : I * (1 / I) = 1 from
congr_arg Units.inv <| @Units.ext _ _ (Units.mkOfMulEqOne _ _ h) (Units.mkOfMulEqOne _ _ h') rfl
apply le_antisymm
· apply mul_le.mpr _
intro x hx y hy
rw [mul_comm]
exact (mem_div_iff_of_nonzero hI).mp hy x hx
rw [← h]
apply mul_left_mono I
apply (le_div_iff_of_nonzero hI).mpr _
intro y hy x hx
rw [mul_comm]
exact mul_mem_mul hx hy
#align fractional_ideal.right_inverse_eq FractionalIdeal.right_inverse_eq
theorem mul_inv_cancel_iff {I : FractionalIdeal R₁⁰ K} : I * I⁻¹ = 1 ↔ ∃ J, I * J = 1 :=
⟨fun h => ⟨I⁻¹, h⟩, fun ⟨J, hJ⟩ => by rwa [← right_inverse_eq K I J hJ]⟩
#align fractional_ideal.mul_inv_cancel_iff FractionalIdeal.mul_inv_cancel_iff
theorem mul_inv_cancel_iff_isUnit {I : FractionalIdeal R₁⁰ K} : I * I⁻¹ = 1 ↔ IsUnit I :=
(mul_inv_cancel_iff K).trans isUnit_iff_exists_inv.symm
#align fractional_ideal.mul_inv_cancel_iff_is_unit FractionalIdeal.mul_inv_cancel_iff_isUnit
variable {K' : Type*} [Field K'] [Algebra R₁ K'] [IsFractionRing R₁ K']
@[simp]
theorem map_inv (I : FractionalIdeal R₁⁰ K) (h : K ≃ₐ[R₁] K') :
I⁻¹.map (h : K →ₐ[R₁] K') = (I.map h)⁻¹ := by rw [inv_eq, map_div, map_one, inv_eq]
#align fractional_ideal.map_inv FractionalIdeal.map_inv
open Submodule Submodule.IsPrincipal
@[simp]
theorem spanSingleton_inv (x : K) : (spanSingleton R₁⁰ x)⁻¹ = spanSingleton _ x⁻¹ :=
one_div_spanSingleton x
#align fractional_ideal.span_singleton_inv FractionalIdeal.spanSingleton_inv
-- @[simp] -- Porting note: not in simpNF form
theorem spanSingleton_div_spanSingleton (x y : K) :
spanSingleton R₁⁰ x / spanSingleton R₁⁰ y = spanSingleton R₁⁰ (x / y) := by
rw [div_spanSingleton, mul_comm, spanSingleton_mul_spanSingleton, div_eq_mul_inv]
#align fractional_ideal.span_singleton_div_span_singleton FractionalIdeal.spanSingleton_div_spanSingleton
theorem spanSingleton_div_self {x : K} (hx : x ≠ 0) :
spanSingleton R₁⁰ x / spanSingleton R₁⁰ x = 1 := by
rw [spanSingleton_div_spanSingleton, div_self hx, spanSingleton_one]
#align fractional_ideal.span_singleton_div_self FractionalIdeal.spanSingleton_div_self
theorem coe_ideal_span_singleton_div_self {x : R₁} (hx : x ≠ 0) :
(Ideal.span ({x} : Set R₁) : FractionalIdeal R₁⁰ K) / Ideal.span ({x} : Set R₁) = 1 := by
rw [coeIdeal_span_singleton,
spanSingleton_div_self K <|
(map_ne_zero_iff _ <| NoZeroSMulDivisors.algebraMap_injective R₁ K).mpr hx]
#align fractional_ideal.coe_ideal_span_singleton_div_self FractionalIdeal.coe_ideal_span_singleton_div_self
theorem spanSingleton_mul_inv {x : K} (hx : x ≠ 0) :
spanSingleton R₁⁰ x * (spanSingleton R₁⁰ x)⁻¹ = 1 := by
rw [spanSingleton_inv, spanSingleton_mul_spanSingleton, mul_inv_cancel hx, spanSingleton_one]
#align fractional_ideal.span_singleton_mul_inv FractionalIdeal.spanSingleton_mul_inv
theorem coe_ideal_span_singleton_mul_inv {x : R₁} (hx : x ≠ 0) :
(Ideal.span ({x} : Set R₁) : FractionalIdeal R₁⁰ K) *
(Ideal.span ({x} : Set R₁) : FractionalIdeal R₁⁰ K)⁻¹ = 1 := by
rw [coeIdeal_span_singleton,
spanSingleton_mul_inv K <|
(map_ne_zero_iff _ <| NoZeroSMulDivisors.algebraMap_injective R₁ K).mpr hx]
#align fractional_ideal.coe_ideal_span_singleton_mul_inv FractionalIdeal.coe_ideal_span_singleton_mul_inv
theorem spanSingleton_inv_mul {x : K} (hx : x ≠ 0) :
(spanSingleton R₁⁰ x)⁻¹ * spanSingleton R₁⁰ x = 1 := by
rw [mul_comm, spanSingleton_mul_inv K hx]
#align fractional_ideal.span_singleton_inv_mul FractionalIdeal.spanSingleton_inv_mul
theorem coe_ideal_span_singleton_inv_mul {x : R₁} (hx : x ≠ 0) :
(Ideal.span ({x} : Set R₁) : FractionalIdeal R₁⁰ K)⁻¹ * Ideal.span ({x} : Set R₁) = 1 := by
rw [mul_comm, coe_ideal_span_singleton_mul_inv K hx]
#align fractional_ideal.coe_ideal_span_singleton_inv_mul FractionalIdeal.coe_ideal_span_singleton_inv_mul
theorem mul_generator_self_inv {R₁ : Type*} [CommRing R₁] [Algebra R₁ K] [IsLocalization R₁⁰ K]
(I : FractionalIdeal R₁⁰ K) [Submodule.IsPrincipal (I : Submodule R₁ K)] (h : I ≠ 0) :
I * spanSingleton _ (generator (I : Submodule R₁ K))⁻¹ = 1 := by
-- Rewrite only the `I` that appears alone.
conv_lhs => congr; rw [eq_spanSingleton_of_principal I]
rw [spanSingleton_mul_spanSingleton, mul_inv_cancel, spanSingleton_one]
intro generator_I_eq_zero
apply h
rw [eq_spanSingleton_of_principal I, generator_I_eq_zero, spanSingleton_zero]
#align fractional_ideal.mul_generator_self_inv FractionalIdeal.mul_generator_self_inv
theorem invertible_of_principal (I : FractionalIdeal R₁⁰ K)
[Submodule.IsPrincipal (I : Submodule R₁ K)] (h : I ≠ 0) : I * I⁻¹ = 1 :=
mul_div_self_cancel_iff.mpr
⟨spanSingleton _ (generator (I : Submodule R₁ K))⁻¹, mul_generator_self_inv _ I h⟩
#align fractional_ideal.invertible_of_principal FractionalIdeal.invertible_of_principal
theorem invertible_iff_generator_nonzero (I : FractionalIdeal R₁⁰ K)
[Submodule.IsPrincipal (I : Submodule R₁ K)] :
I * I⁻¹ = 1 ↔ generator (I : Submodule R₁ K) ≠ 0 := by
constructor
· intro hI hg
apply ne_zero_of_mul_eq_one _ _ hI
rw [eq_spanSingleton_of_principal I, hg, spanSingleton_zero]
· intro hg
apply invertible_of_principal
rw [eq_spanSingleton_of_principal I]
intro hI
have := mem_spanSingleton_self R₁⁰ (generator (I : Submodule R₁ K))
rw [hI, mem_zero_iff] at this
contradiction
#align fractional_ideal.invertible_iff_generator_nonzero FractionalIdeal.invertible_iff_generator_nonzero
theorem isPrincipal_inv (I : FractionalIdeal R₁⁰ K) [Submodule.IsPrincipal (I : Submodule R₁ K)]
(h : I ≠ 0) : Submodule.IsPrincipal I⁻¹.1 := by
rw [val_eq_coe, isPrincipal_iff]
use (generator (I : Submodule R₁ K))⁻¹
have hI : I * spanSingleton _ (generator (I : Submodule R₁ K))⁻¹ = 1 :=
mul_generator_self_inv _ I h
exact (right_inverse_eq _ I (spanSingleton _ (generator (I : Submodule R₁ K))⁻¹) hI).symm
#align fractional_ideal.is_principal_inv FractionalIdeal.isPrincipal_inv
noncomputable instance : InvOneClass (FractionalIdeal R₁⁰ K) := { inv_one := div_one }
end FractionalIdeal
section IsDedekindDomainInv
variable [IsDomain A]
/-- A Dedekind domain is an integral domain such that every fractional ideal has an inverse.
This is equivalent to `IsDedekindDomain`.
In particular we provide a `fractional_ideal.comm_group_with_zero` instance,
assuming `IsDedekindDomain A`, which implies `IsDedekindDomainInv`. For **integral** ideals,
`IsDedekindDomain`(`_inv`) implies only `Ideal.cancelCommMonoidWithZero`.
-/
def IsDedekindDomainInv : Prop :=
∀ I ≠ (⊥ : FractionalIdeal A⁰ (FractionRing A)), I * I⁻¹ = 1
#align is_dedekind_domain_inv IsDedekindDomainInv
open FractionalIdeal
variable {R A K}
theorem isDedekindDomainInv_iff [Algebra A K] [IsFractionRing A K] :
IsDedekindDomainInv A ↔ ∀ I ≠ (⊥ : FractionalIdeal A⁰ K), I * I⁻¹ = 1 := by
let h : FractionalIdeal A⁰ (FractionRing A) ≃+* FractionalIdeal A⁰ K :=
FractionalIdeal.mapEquiv (FractionRing.algEquiv A K)
refine h.toEquiv.forall_congr (fun {x} => ?_)
rw [← h.toEquiv.apply_eq_iff_eq]
simp [h, IsDedekindDomainInv]
#align is_dedekind_domain_inv_iff isDedekindDomainInv_iff
theorem FractionalIdeal.adjoinIntegral_eq_one_of_isUnit [Algebra A K] [IsFractionRing A K] (x : K)
(hx : IsIntegral A x) (hI : IsUnit (adjoinIntegral A⁰ x hx)) : adjoinIntegral A⁰ x hx = 1 := by
set I := adjoinIntegral A⁰ x hx
have mul_self : I * I = I := by apply coeToSubmodule_injective; simp [I]
convert congr_arg (· * I⁻¹) mul_self <;>
simp only [(mul_inv_cancel_iff_isUnit K).mpr hI, mul_assoc, mul_one]
#align fractional_ideal.adjoin_integral_eq_one_of_is_unit FractionalIdeal.adjoinIntegral_eq_one_of_isUnit
namespace IsDedekindDomainInv
variable [Algebra A K] [IsFractionRing A K] (h : IsDedekindDomainInv A)
theorem mul_inv_eq_one {I : FractionalIdeal A⁰ K} (hI : I ≠ 0) : I * I⁻¹ = 1 :=
isDedekindDomainInv_iff.mp h I hI
#align is_dedekind_domain_inv.mul_inv_eq_one IsDedekindDomainInv.mul_inv_eq_one
theorem inv_mul_eq_one {I : FractionalIdeal A⁰ K} (hI : I ≠ 0) : I⁻¹ * I = 1 :=
(mul_comm _ _).trans (h.mul_inv_eq_one hI)
#align is_dedekind_domain_inv.inv_mul_eq_one IsDedekindDomainInv.inv_mul_eq_one
protected theorem isUnit {I : FractionalIdeal A⁰ K} (hI : I ≠ 0) : IsUnit I :=
isUnit_of_mul_eq_one _ _ (h.mul_inv_eq_one hI)
#align is_dedekind_domain_inv.is_unit IsDedekindDomainInv.isUnit
theorem isNoetherianRing : IsNoetherianRing A := by
refine isNoetherianRing_iff.mpr ⟨fun I : Ideal A => ?_⟩
by_cases hI : I = ⊥
· rw [hI]; apply Submodule.fg_bot
have hI : (I : FractionalIdeal A⁰ (FractionRing A)) ≠ 0 := coeIdeal_ne_zero.mpr hI
exact I.fg_of_isUnit (IsFractionRing.injective A (FractionRing A)) (h.isUnit hI)
#align is_dedekind_domain_inv.is_noetherian_ring IsDedekindDomainInv.isNoetherianRing
theorem integrallyClosed : IsIntegrallyClosed A := by
-- It suffices to show that for integral `x`,
-- `A[x]` (which is a fractional ideal) is in fact equal to `A`.
refine (isIntegrallyClosed_iff (FractionRing A)).mpr (fun {x hx} => ?_)
rw [← Set.mem_range, ← Algebra.mem_bot, ← Subalgebra.mem_toSubmodule, Algebra.toSubmodule_bot,
Submodule.one_eq_span, ← coe_spanSingleton A⁰ (1 : FractionRing A), spanSingleton_one, ←
FractionalIdeal.adjoinIntegral_eq_one_of_isUnit x hx (h.isUnit _)]
· exact mem_adjoinIntegral_self A⁰ x hx
· exact fun h => one_ne_zero (eq_zero_iff.mp h 1 (Algebra.adjoin A {x}).one_mem)
#align is_dedekind_domain_inv.integrally_closed IsDedekindDomainInv.integrallyClosed
open Ring
theorem dimensionLEOne : DimensionLEOne A := ⟨by
-- We're going to show that `P` is maximal because any (maximal) ideal `M`
-- that is strictly larger would be `⊤`.
rintro P P_ne hP
refine Ideal.isMaximal_def.mpr ⟨hP.ne_top, fun M hM => ?_⟩
-- We may assume `P` and `M` (as fractional ideals) are nonzero.
have P'_ne : (P : FractionalIdeal A⁰ (FractionRing A)) ≠ 0 := coeIdeal_ne_zero.mpr P_ne
have M'_ne : (M : FractionalIdeal A⁰ (FractionRing A)) ≠ 0 := coeIdeal_ne_zero.mpr hM.ne_bot
-- In particular, we'll show `M⁻¹ * P ≤ P`
suffices (M⁻¹ : FractionalIdeal A⁰ (FractionRing A)) * P ≤ P by
rw [eq_top_iff, ← coeIdeal_le_coeIdeal (FractionRing A), coeIdeal_top]
calc
(1 : FractionalIdeal A⁰ (FractionRing A)) = _ * _ * _ := ?_
_ ≤ _ * _ := mul_right_mono
((P : FractionalIdeal A⁰ (FractionRing A))⁻¹ * M : FractionalIdeal A⁰ (FractionRing A)) this
_ = M := ?_
· rw [mul_assoc, ← mul_assoc (P : FractionalIdeal A⁰ (FractionRing A)), h.mul_inv_eq_one P'_ne,
one_mul, h.inv_mul_eq_one M'_ne]
· rw [← mul_assoc (P : FractionalIdeal A⁰ (FractionRing A)), h.mul_inv_eq_one P'_ne, one_mul]
-- Suppose we have `x ∈ M⁻¹ * P`, then in fact `x = algebraMap _ _ y` for some `y`.
intro x hx
have le_one : (M⁻¹ : FractionalIdeal A⁰ (FractionRing A)) * P ≤ 1 := by
rw [← h.inv_mul_eq_one M'_ne]
exact mul_left_mono _ ((coeIdeal_le_coeIdeal (FractionRing A)).mpr hM.le)
obtain ⟨y, _hy, rfl⟩ := (mem_coeIdeal _).mp (le_one hx)
-- Since `M` is strictly greater than `P`, let `z ∈ M \ P`.
obtain ⟨z, hzM, hzp⟩ := SetLike.exists_of_lt hM
-- We have `z * y ∈ M * (M⁻¹ * P) = P`.
have zy_mem := mul_mem_mul (mem_coeIdeal_of_mem A⁰ hzM) hx
rw [← RingHom.map_mul, ← mul_assoc, h.mul_inv_eq_one M'_ne, one_mul] at zy_mem
obtain ⟨zy, hzy, zy_eq⟩ := (mem_coeIdeal A⁰).mp zy_mem
rw [IsFractionRing.injective A (FractionRing A) zy_eq] at hzy
-- But `P` is a prime ideal, so `z ∉ P` implies `y ∈ P`, as desired.
exact mem_coeIdeal_of_mem A⁰ (Or.resolve_left (hP.mem_or_mem hzy) hzp)⟩
#align is_dedekind_domain_inv.dimension_le_one IsDedekindDomainInv.dimensionLEOne
/-- Showing one side of the equivalence between the definitions
`IsDedekindDomainInv` and `IsDedekindDomain` of Dedekind domains. -/
theorem isDedekindDomain : IsDedekindDomain A :=
{ h.isNoetherianRing, h.dimensionLEOne, h.integrallyClosed with }
#align is_dedekind_domain_inv.is_dedekind_domain IsDedekindDomainInv.isDedekindDomain
end IsDedekindDomainInv
end IsDedekindDomainInv
variable [Algebra A K] [IsFractionRing A K]
variable {A K}
theorem one_mem_inv_coe_ideal [IsDomain A] {I : Ideal A} (hI : I ≠ ⊥) :
(1 : K) ∈ (I : FractionalIdeal A⁰ K)⁻¹ := by
rw [FractionalIdeal.mem_inv_iff (FractionalIdeal.coeIdeal_ne_zero.mpr hI)]
intro y hy
rw [one_mul]
exact FractionalIdeal.coeIdeal_le_one hy
-- #align fractional_ideal.one_mem_inv_coe_ideal FractionalIdeal.one_mem_inv_coe_ideal
/-- Specialization of `exists_primeSpectrum_prod_le_and_ne_bot_of_domain` to Dedekind domains:
Let `I : Ideal A` be a nonzero ideal, where `A` is a Dedekind domain that is not a field.
Then `exists_primeSpectrum_prod_le_and_ne_bot_of_domain` states we can find a product of prime
ideals that is contained within `I`. This lemma extends that result by making the product minimal:
let `M` be a maximal ideal that contains `I`, then the product including `M` is contained within `I`
and the product excluding `M` is not contained within `I`. -/
theorem exists_multiset_prod_cons_le_and_prod_not_le [IsDedekindDomain A] (hNF : ¬IsField A)
{I M : Ideal A} (hI0 : I ≠ ⊥) (hIM : I ≤ M) [hM : M.IsMaximal] :
∃ Z : Multiset (PrimeSpectrum A),
(M ::ₘ Z.map PrimeSpectrum.asIdeal).prod ≤ I ∧
¬Multiset.prod (Z.map PrimeSpectrum.asIdeal) ≤ I := by
-- Let `Z` be a minimal set of prime ideals such that their product is contained in `J`.
obtain ⟨Z₀, hZ₀⟩ := PrimeSpectrum.exists_primeSpectrum_prod_le_and_ne_bot_of_domain hNF hI0
obtain ⟨Z, ⟨hZI, hprodZ⟩, h_eraseZ⟩ :=
wellFounded_lt.has_min
{Z | (Z.map PrimeSpectrum.asIdeal).prod ≤ I ∧ (Z.map PrimeSpectrum.asIdeal).prod ≠ ⊥}
⟨Z₀, hZ₀.1, hZ₀.2⟩
obtain ⟨_, hPZ', hPM⟩ := hM.isPrime.multiset_prod_le.mp (hZI.trans hIM)
-- Then in fact there is a `P ∈ Z` with `P ≤ M`.
obtain ⟨P, hPZ, rfl⟩ := Multiset.mem_map.mp hPZ'
classical
have := Multiset.map_erase PrimeSpectrum.asIdeal PrimeSpectrum.ext P Z
obtain ⟨hP0, hZP0⟩ : P.asIdeal ≠ ⊥ ∧ ((Z.erase P).map PrimeSpectrum.asIdeal).prod ≠ ⊥ := by
rwa [Ne, ← Multiset.cons_erase hPZ', Multiset.prod_cons, Ideal.mul_eq_bot, not_or, ←
this] at hprodZ
-- By maximality of `P` and `M`, we have that `P ≤ M` implies `P = M`.
have hPM' := (P.IsPrime.isMaximal hP0).eq_of_le hM.ne_top hPM
subst hPM'
-- By minimality of `Z`, erasing `P` from `Z` is exactly what we need.
refine ⟨Z.erase P, ?_, ?_⟩
· convert hZI
rw [this, Multiset.cons_erase hPZ']
· refine fun h => h_eraseZ (Z.erase P) ⟨h, ?_⟩ (Multiset.erase_lt.mpr hPZ)
exact hZP0
#align exists_multiset_prod_cons_le_and_prod_not_le exists_multiset_prod_cons_le_and_prod_not_le
namespace FractionalIdeal
open Ideal
lemma not_inv_le_one_of_ne_bot [IsDedekindDomain A] {I : Ideal A}
(hI0 : I ≠ ⊥) (hI1 : I ≠ ⊤) : ¬(I⁻¹ : FractionalIdeal A⁰ K) ≤ 1 := by
have hNF : ¬IsField A := fun h ↦ letI := h.toField; (eq_bot_or_eq_top I).elim hI0 hI1
wlog hM : I.IsMaximal generalizing I
· rcases I.exists_le_maximal hI1 with ⟨M, hmax, hIM⟩
have hMbot : M ≠ ⊥ := (M.bot_lt_of_maximal hNF).ne'
refine mt (le_trans <| inv_anti_mono ?_ ?_ ?_) (this hMbot hmax.ne_top hmax) <;>
simpa only [coeIdeal_ne_zero, coeIdeal_le_coeIdeal]
have hI0 : ⊥ < I := I.bot_lt_of_maximal hNF
obtain ⟨⟨a, haI⟩, ha0⟩ := Submodule.nonzero_mem_of_bot_lt hI0
replace ha0 : a ≠ 0 := Subtype.coe_injective.ne ha0
let J : Ideal A := Ideal.span {a}
have hJ0 : J ≠ ⊥ := mt Ideal.span_singleton_eq_bot.mp ha0
have hJI : J ≤ I := I.span_singleton_le_iff_mem.2 haI
-- Then we can find a product of prime (hence maximal) ideals contained in `J`,
-- such that removing element `M` from the product is not contained in `J`.
obtain ⟨Z, hle, hnle⟩ := exists_multiset_prod_cons_le_and_prod_not_le hNF hJ0 hJI
-- Choose an element `b` of the product that is not in `J`.
obtain ⟨b, hbZ, hbJ⟩ := SetLike.not_le_iff_exists.mp hnle
have hnz_fa : algebraMap A K a ≠ 0 :=
mt ((injective_iff_map_eq_zero _).mp (IsFractionRing.injective A K) a) ha0
-- Then `b a⁻¹ : K` is in `M⁻¹` but not in `1`.
refine Set.not_subset.2 ⟨algebraMap A K b * (algebraMap A K a)⁻¹, (mem_inv_iff ?_).mpr ?_, ?_⟩
· exact coeIdeal_ne_zero.mpr hI0.ne'
· rintro y₀ hy₀
obtain ⟨y, h_Iy, rfl⟩ := (mem_coeIdeal _).mp hy₀
rw [mul_comm, ← mul_assoc, ← RingHom.map_mul]
have h_yb : y * b ∈ J := by
apply hle
rw [Multiset.prod_cons]
exact Submodule.smul_mem_smul h_Iy hbZ
rw [Ideal.mem_span_singleton'] at h_yb
rcases h_yb with ⟨c, hc⟩
rw [← hc, RingHom.map_mul, mul_assoc, mul_inv_cancel hnz_fa, mul_one]
apply coe_mem_one
· refine mt (mem_one_iff _).mp ?_
rintro ⟨x', h₂_abs⟩
rw [← div_eq_mul_inv, eq_div_iff_mul_eq hnz_fa, ← RingHom.map_mul] at h₂_abs
have := Ideal.mem_span_singleton'.mpr ⟨x', IsFractionRing.injective A K h₂_abs⟩
contradiction
theorem exists_not_mem_one_of_ne_bot [IsDedekindDomain A] {I : Ideal A} (hI0 : I ≠ ⊥)
(hI1 : I ≠ ⊤) : ∃ x ∈ (I⁻¹ : FractionalIdeal A⁰ K), x ∉ (1 : FractionalIdeal A⁰ K) :=
Set.not_subset.1 <| not_inv_le_one_of_ne_bot hI0 hI1
#align fractional_ideal.exists_not_mem_one_of_ne_bot FractionalIdeal.exists_not_mem_one_of_ne_bot
theorem mul_inv_cancel_of_le_one [h : IsDedekindDomain A] {I : Ideal A} (hI0 : I ≠ ⊥)
(hI : (I * (I : FractionalIdeal A⁰ K)⁻¹)⁻¹ ≤ 1) : I * (I : FractionalIdeal A⁰ K)⁻¹ = 1 := by
-- We'll show a contradiction with `exists_not_mem_one_of_ne_bot`:
-- `J⁻¹ = (I * I⁻¹)⁻¹` cannot have an element `x ∉ 1`, so it must equal `1`.
obtain ⟨J, hJ⟩ : ∃ J : Ideal A, (J : FractionalIdeal A⁰ K) = I * (I : FractionalIdeal A⁰ K)⁻¹ :=
le_one_iff_exists_coeIdeal.mp mul_one_div_le_one
by_cases hJ0 : J = ⊥
· subst hJ0
refine absurd ?_ hI0
rw [eq_bot_iff, ← coeIdeal_le_coeIdeal K, hJ]
exact coe_ideal_le_self_mul_inv K I
by_cases hJ1 : J = ⊤
· rw [← hJ, hJ1, coeIdeal_top]
exact (not_inv_le_one_of_ne_bot (K := K) hJ0 hJ1 (hJ ▸ hI)).elim
#align fractional_ideal.mul_inv_cancel_of_le_one FractionalIdeal.mul_inv_cancel_of_le_one
/-- Nonzero integral ideals in a Dedekind domain are invertible.
We will use this to show that nonzero fractional ideals are invertible,
and finally conclude that fractional ideals in a Dedekind domain form a group with zero.
-/
theorem coe_ideal_mul_inv [h : IsDedekindDomain A] (I : Ideal A) (hI0 : I ≠ ⊥) :
I * (I : FractionalIdeal A⁰ K)⁻¹ = 1 := by
-- We'll show `1 ≤ J⁻¹ = (I * I⁻¹)⁻¹ ≤ 1`.
apply mul_inv_cancel_of_le_one hI0
by_cases hJ0 : I * (I : FractionalIdeal A⁰ K)⁻¹ = 0
· rw [hJ0, inv_zero']; exact zero_le _
intro x hx
-- In particular, we'll show all `x ∈ J⁻¹` are integral.
suffices x ∈ integralClosure A K by
rwa [IsIntegrallyClosed.integralClosure_eq_bot, Algebra.mem_bot, Set.mem_range,
← mem_one_iff] at this
-- For that, we'll find a subalgebra that is f.g. as a module and contains `x`.
-- `A` is a noetherian ring, so we just need to find a subalgebra between `{x}` and `I⁻¹`.
rw [mem_integralClosure_iff_mem_fg]
have x_mul_mem : ∀ b ∈ (I⁻¹ : FractionalIdeal A⁰ K), x * b ∈ (I⁻¹ : FractionalIdeal A⁰ K) := by
intro b hb
rw [mem_inv_iff (coeIdeal_ne_zero.mpr hI0)]
dsimp only at hx
rw [val_eq_coe, mem_coe, mem_inv_iff hJ0] at hx
simp only [mul_assoc, mul_comm b] at hx ⊢
intro y hy
exact hx _ (mul_mem_mul hy hb)
-- It turns out the subalgebra consisting of all `p(x)` for `p : A[X]` works.
refine ⟨AlgHom.range (Polynomial.aeval x : A[X] →ₐ[A] K),
isNoetherian_submodule.mp (isNoetherian (I : FractionalIdeal A⁰ K)⁻¹) _ fun y hy => ?_,
⟨Polynomial.X, Polynomial.aeval_X x⟩⟩
obtain ⟨p, rfl⟩ := (AlgHom.mem_range _).mp hy
rw [Polynomial.aeval_eq_sum_range]
refine Submodule.sum_mem _ fun i hi => Submodule.smul_mem _ _ ?_
clear hi
induction' i with i ih
· rw [pow_zero]; exact one_mem_inv_coe_ideal hI0
· show x ^ i.succ ∈ (I⁻¹ : FractionalIdeal A⁰ K)
rw [pow_succ']; exact x_mul_mem _ ih
#align fractional_ideal.coe_ideal_mul_inv FractionalIdeal.coe_ideal_mul_inv
/-- Nonzero fractional ideals in a Dedekind domain are units.
This is also available as `_root_.mul_inv_cancel`, using the
`Semifield` instance defined below.
-/
protected theorem mul_inv_cancel [IsDedekindDomain A] {I : FractionalIdeal A⁰ K} (hne : I ≠ 0) :
I * I⁻¹ = 1 := by
obtain ⟨a, J, ha, hJ⟩ :
∃ (a : A) (aI : Ideal A), a ≠ 0 ∧ I = spanSingleton A⁰ (algebraMap A K a)⁻¹ * aI :=
exists_eq_spanSingleton_mul I
suffices h₂ : I * (spanSingleton A⁰ (algebraMap _ _ a) * (J : FractionalIdeal A⁰ K)⁻¹) = 1 by
rw [mul_inv_cancel_iff]
exact ⟨spanSingleton A⁰ (algebraMap _ _ a) * (J : FractionalIdeal A⁰ K)⁻¹, h₂⟩
subst hJ
rw [mul_assoc, mul_left_comm (J : FractionalIdeal A⁰ K), coe_ideal_mul_inv, mul_one,
spanSingleton_mul_spanSingleton, inv_mul_cancel, spanSingleton_one]
· exact mt ((injective_iff_map_eq_zero (algebraMap A K)).mp (IsFractionRing.injective A K) _) ha
· exact coeIdeal_ne_zero.mp (right_ne_zero_of_mul hne)
#align fractional_ideal.mul_inv_cancel FractionalIdeal.mul_inv_cancel
theorem mul_right_le_iff [IsDedekindDomain A] {J : FractionalIdeal A⁰ K} (hJ : J ≠ 0) :
∀ {I I'}, I * J ≤ I' * J ↔ I ≤ I' := by
intro I I'
constructor
· intro h
convert mul_right_mono J⁻¹ h <;> dsimp only <;>
rw [mul_assoc, FractionalIdeal.mul_inv_cancel hJ, mul_one]
· exact fun h => mul_right_mono J h
#align fractional_ideal.mul_right_le_iff FractionalIdeal.mul_right_le_iff
theorem mul_left_le_iff [IsDedekindDomain A] {J : FractionalIdeal A⁰ K} (hJ : J ≠ 0) {I I'} :
J * I ≤ J * I' ↔ I ≤ I' := by convert mul_right_le_iff hJ using 1; simp only [mul_comm]
#align fractional_ideal.mul_left_le_iff FractionalIdeal.mul_left_le_iff
theorem mul_right_strictMono [IsDedekindDomain A] {I : FractionalIdeal A⁰ K} (hI : I ≠ 0) :
StrictMono (· * I) :=
strictMono_of_le_iff_le fun _ _ => (mul_right_le_iff hI).symm
#align fractional_ideal.mul_right_strict_mono FractionalIdeal.mul_right_strictMono
theorem mul_left_strictMono [IsDedekindDomain A] {I : FractionalIdeal A⁰ K} (hI : I ≠ 0) :
StrictMono (I * ·) :=
strictMono_of_le_iff_le fun _ _ => (mul_left_le_iff hI).symm
#align fractional_ideal.mul_left_strict_mono FractionalIdeal.mul_left_strictMono
/-- This is also available as `_root_.div_eq_mul_inv`, using the
`Semifield` instance defined below.
-/
protected theorem div_eq_mul_inv [IsDedekindDomain A] (I J : FractionalIdeal A⁰ K) :
I / J = I * J⁻¹ := by
by_cases hJ : J = 0
· rw [hJ, div_zero, inv_zero', mul_zero]
refine le_antisymm ((mul_right_le_iff hJ).mp ?_) ((le_div_iff_mul_le hJ).mpr ?_)
· rw [mul_assoc, mul_comm J⁻¹, FractionalIdeal.mul_inv_cancel hJ, mul_one, mul_le]
intro x hx y hy
rw [mem_div_iff_of_nonzero hJ] at hx
exact hx y hy
rw [mul_assoc, mul_comm J⁻¹, FractionalIdeal.mul_inv_cancel hJ, mul_one]
#align fractional_ideal.div_eq_mul_inv FractionalIdeal.div_eq_mul_inv
end FractionalIdeal
/-- `IsDedekindDomain` and `IsDedekindDomainInv` are equivalent ways
to express that an integral domain is a Dedekind domain. -/
theorem isDedekindDomain_iff_isDedekindDomainInv [IsDomain A] :
IsDedekindDomain A ↔ IsDedekindDomainInv A :=
⟨fun _h _I hI => FractionalIdeal.mul_inv_cancel hI, fun h => h.isDedekindDomain⟩
#align is_dedekind_domain_iff_is_dedekind_domain_inv isDedekindDomain_iff_isDedekindDomainInv
end Inverse
section IsDedekindDomain
variable {R A}
variable [IsDedekindDomain A] [Algebra A K] [IsFractionRing A K]
open FractionalIdeal
open Ideal
noncomputable instance FractionalIdeal.semifield : Semifield (FractionalIdeal A⁰ K) where
__ := coeIdeal_injective.nontrivial
inv_zero := inv_zero' _
div_eq_mul_inv := FractionalIdeal.div_eq_mul_inv
mul_inv_cancel _ := FractionalIdeal.mul_inv_cancel
nnqsmul := _
#align fractional_ideal.semifield FractionalIdeal.semifield
/-- Fractional ideals have cancellative multiplication in a Dedekind domain.
Although this instance is a direct consequence of the instance
`FractionalIdeal.semifield`, we define this instance to provide
a computable alternative.
-/
instance FractionalIdeal.cancelCommMonoidWithZero :
CancelCommMonoidWithZero (FractionalIdeal A⁰ K) where
__ : CommSemiring (FractionalIdeal A⁰ K) := inferInstance
#align fractional_ideal.cancel_comm_monoid_with_zero FractionalIdeal.cancelCommMonoidWithZero
instance Ideal.cancelCommMonoidWithZero : CancelCommMonoidWithZero (Ideal A) :=
{ Function.Injective.cancelCommMonoidWithZero (coeIdealHom A⁰ (FractionRing A)) coeIdeal_injective
(RingHom.map_zero _) (RingHom.map_one _) (RingHom.map_mul _) (RingHom.map_pow _) with }
#align ideal.cancel_comm_monoid_with_zero Ideal.cancelCommMonoidWithZero
-- Porting note: Lean can infer all it needs by itself
instance Ideal.isDomain : IsDomain (Ideal A) := { }
#align ideal.is_domain Ideal.isDomain
/-- For ideals in a Dedekind domain, to divide is to contain. -/
theorem Ideal.dvd_iff_le {I J : Ideal A} : I ∣ J ↔ J ≤ I :=
⟨Ideal.le_of_dvd, fun h => by
by_cases hI : I = ⊥
· have hJ : J = ⊥ := by rwa [hI, ← eq_bot_iff] at h
rw [hI, hJ]
have hI' : (I : FractionalIdeal A⁰ (FractionRing A)) ≠ 0 := coeIdeal_ne_zero.mpr hI
have : (I : FractionalIdeal A⁰ (FractionRing A))⁻¹ * J ≤ 1 :=
le_trans (mul_left_mono (↑I)⁻¹ ((coeIdeal_le_coeIdeal _).mpr h))
(le_of_eq (inv_mul_cancel hI'))
obtain ⟨H, hH⟩ := le_one_iff_exists_coeIdeal.mp this
use H
refine coeIdeal_injective (show (J : FractionalIdeal A⁰ (FractionRing A)) = ↑(I * H) from ?_)
rw [coeIdeal_mul, hH, ← mul_assoc, mul_inv_cancel hI', one_mul]⟩
#align ideal.dvd_iff_le Ideal.dvd_iff_le
theorem Ideal.dvdNotUnit_iff_lt {I J : Ideal A} : DvdNotUnit I J ↔ J < I :=
⟨fun ⟨hI, H, hunit, hmul⟩ =>
lt_of_le_of_ne (Ideal.dvd_iff_le.mp ⟨H, hmul⟩)
(mt
(fun h =>
have : H = 1 := mul_left_cancel₀ hI (by rw [← hmul, h, mul_one])
show IsUnit H from this.symm ▸ isUnit_one)
hunit),
fun h =>
dvdNotUnit_of_dvd_of_not_dvd (Ideal.dvd_iff_le.mpr (le_of_lt h))
(mt Ideal.dvd_iff_le.mp (not_le_of_lt h))⟩
#align ideal.dvd_not_unit_iff_lt Ideal.dvdNotUnit_iff_lt
instance : WfDvdMonoid (Ideal A) where
wellFounded_dvdNotUnit := by
have : WellFounded ((· > ·) : Ideal A → Ideal A → Prop) :=
isNoetherian_iff_wellFounded.mp (isNoetherianRing_iff.mp IsDedekindRing.toIsNoetherian)
convert this
ext
rw [Ideal.dvdNotUnit_iff_lt]
instance Ideal.uniqueFactorizationMonoid : UniqueFactorizationMonoid (Ideal A) :=
{ irreducible_iff_prime := by
intro P
exact ⟨fun hirr => ⟨hirr.ne_zero, hirr.not_unit, fun I J => by
have : P.IsMaximal := by
refine ⟨⟨mt Ideal.isUnit_iff.mpr hirr.not_unit, ?_⟩⟩
intro J hJ
obtain ⟨_J_ne, H, hunit, P_eq⟩ := Ideal.dvdNotUnit_iff_lt.mpr hJ
exact Ideal.isUnit_iff.mp ((hirr.isUnit_or_isUnit P_eq).resolve_right hunit)
rw [Ideal.dvd_iff_le, Ideal.dvd_iff_le, Ideal.dvd_iff_le, SetLike.le_def, SetLike.le_def,
SetLike.le_def]
contrapose!
rintro ⟨⟨x, x_mem, x_not_mem⟩, ⟨y, y_mem, y_not_mem⟩⟩
exact
⟨x * y, Ideal.mul_mem_mul x_mem y_mem,
mt this.isPrime.mem_or_mem (not_or_of_not x_not_mem y_not_mem)⟩⟩, Prime.irreducible⟩ }
#align ideal.unique_factorization_monoid Ideal.uniqueFactorizationMonoid
instance Ideal.normalizationMonoid : NormalizationMonoid (Ideal A) :=
normalizationMonoidOfUniqueUnits
#align ideal.normalization_monoid Ideal.normalizationMonoid
@[simp]
theorem Ideal.dvd_span_singleton {I : Ideal A} {x : A} : I ∣ Ideal.span {x} ↔ x ∈ I :=
Ideal.dvd_iff_le.trans (Ideal.span_le.trans Set.singleton_subset_iff)
#align ideal.dvd_span_singleton Ideal.dvd_span_singleton
theorem Ideal.isPrime_of_prime {P : Ideal A} (h : Prime P) : IsPrime P := by
refine ⟨?_, fun hxy => ?_⟩
· rintro rfl
rw [← Ideal.one_eq_top] at h
exact h.not_unit isUnit_one
· simp only [← Ideal.dvd_span_singleton, ← Ideal.span_singleton_mul_span_singleton] at hxy ⊢
exact h.dvd_or_dvd hxy
#align ideal.is_prime_of_prime Ideal.isPrime_of_prime
| Mathlib/RingTheory/DedekindDomain/Ideal.lean | 687 | 689 | theorem Ideal.prime_of_isPrime {P : Ideal A} (hP : P ≠ ⊥) (h : IsPrime P) : Prime P := by |
refine ⟨hP, mt Ideal.isUnit_iff.mp h.ne_top, fun I J hIJ => ?_⟩
simpa only [Ideal.dvd_iff_le] using h.mul_le.mp (Ideal.le_of_dvd hIJ)
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Algebra.Order.BigOperators.Group.Multiset
import Mathlib.Tactic.NormNum.Basic
import Mathlib.Tactic.Positivity.Core
#align_import algebra.big_operators.order from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83"
/-!
# Big operators on a finset in ordered groups
This file contains the results concerning the interaction of multiset big operators with ordered
groups/monoids.
-/
open Function
variable {ι α β M N G k R : Type*}
namespace Finset
section OrderedCommMonoid
variable [CommMonoid M] [OrderedCommMonoid N]
/-- Let `{x | p x}` be a subsemigroup of a commutative monoid `M`. Let `f : M → N` be a map
submultiplicative on `{x | p x}`, i.e., `p x → p y → f (x * y) ≤ f x * f y`. Let `g i`, `i ∈ s`, be
a nonempty finite family of elements of `M` such that `∀ i ∈ s, p (g i)`. Then
`f (∏ x ∈ s, g x) ≤ ∏ x ∈ s, f (g x)`. -/
@[to_additive le_sum_nonempty_of_subadditive_on_pred]
theorem le_prod_nonempty_of_submultiplicative_on_pred (f : M → N) (p : M → Prop)
(h_mul : ∀ x y, p x → p y → f (x * y) ≤ f x * f y) (hp_mul : ∀ x y, p x → p y → p (x * y))
(g : ι → M) (s : Finset ι) (hs_nonempty : s.Nonempty) (hs : ∀ i ∈ s, p (g i)) :
f (∏ i ∈ s, g i) ≤ ∏ i ∈ s, f (g i) := by
refine le_trans
(Multiset.le_prod_nonempty_of_submultiplicative_on_pred f p h_mul hp_mul _ ?_ ?_) ?_
· simp [hs_nonempty.ne_empty]
· exact Multiset.forall_mem_map_iff.mpr hs
rw [Multiset.map_map]
rfl
#align finset.le_prod_nonempty_of_submultiplicative_on_pred Finset.le_prod_nonempty_of_submultiplicative_on_pred
#align finset.le_sum_nonempty_of_subadditive_on_pred Finset.le_sum_nonempty_of_subadditive_on_pred
/-- Let `{x | p x}` be an additive subsemigroup of an additive commutative monoid `M`. Let
`f : M → N` be a map subadditive on `{x | p x}`, i.e., `p x → p y → f (x + y) ≤ f x + f y`. Let
`g i`, `i ∈ s`, be a nonempty finite family of elements of `M` such that `∀ i ∈ s, p (g i)`. Then
`f (∑ i ∈ s, g i) ≤ ∑ i ∈ s, f (g i)`. -/
add_decl_doc le_sum_nonempty_of_subadditive_on_pred
/-- If `f : M → N` is a submultiplicative function, `f (x * y) ≤ f x * f y` and `g i`, `i ∈ s`, is a
nonempty finite family of elements of `M`, then `f (∏ i ∈ s, g i) ≤ ∏ i ∈ s, f (g i)`. -/
@[to_additive le_sum_nonempty_of_subadditive]
theorem le_prod_nonempty_of_submultiplicative (f : M → N) (h_mul : ∀ x y, f (x * y) ≤ f x * f y)
{s : Finset ι} (hs : s.Nonempty) (g : ι → M) : f (∏ i ∈ s, g i) ≤ ∏ i ∈ s, f (g i) :=
le_prod_nonempty_of_submultiplicative_on_pred f (fun _ ↦ True) (fun x y _ _ ↦ h_mul x y)
(fun _ _ _ _ ↦ trivial) g s hs fun _ _ ↦ trivial
#align finset.le_prod_nonempty_of_submultiplicative Finset.le_prod_nonempty_of_submultiplicative
#align finset.le_sum_nonempty_of_subadditive Finset.le_sum_nonempty_of_subadditive
/-- If `f : M → N` is a subadditive function, `f (x + y) ≤ f x + f y` and `g i`, `i ∈ s`, is a
nonempty finite family of elements of `M`, then `f (∑ i ∈ s, g i) ≤ ∑ i ∈ s, f (g i)`. -/
add_decl_doc le_sum_nonempty_of_subadditive
/-- Let `{x | p x}` be a subsemigroup of a commutative monoid `M`. Let `f : M → N` be a map
such that `f 1 = 1` and `f` is submultiplicative on `{x | p x}`, i.e.,
`p x → p y → f (x * y) ≤ f x * f y`. Let `g i`, `i ∈ s`, be a finite family of elements of `M` such
that `∀ i ∈ s, p (g i)`. Then `f (∏ i ∈ s, g i) ≤ ∏ i ∈ s, f (g i)`. -/
@[to_additive le_sum_of_subadditive_on_pred]
theorem le_prod_of_submultiplicative_on_pred (f : M → N) (p : M → Prop) (h_one : f 1 = 1)
(h_mul : ∀ x y, p x → p y → f (x * y) ≤ f x * f y) (hp_mul : ∀ x y, p x → p y → p (x * y))
(g : ι → M) {s : Finset ι} (hs : ∀ i ∈ s, p (g i)) : f (∏ i ∈ s, g i) ≤ ∏ i ∈ s, f (g i) := by
rcases eq_empty_or_nonempty s with (rfl | hs_nonempty)
· simp [h_one]
· exact le_prod_nonempty_of_submultiplicative_on_pred f p h_mul hp_mul g s hs_nonempty hs
#align finset.le_prod_of_submultiplicative_on_pred Finset.le_prod_of_submultiplicative_on_pred
#align finset.le_sum_of_subadditive_on_pred Finset.le_sum_of_subadditive_on_pred
/-- Let `{x | p x}` be a subsemigroup of a commutative additive monoid `M`. Let `f : M → N` be a map
such that `f 0 = 0` and `f` is subadditive on `{x | p x}`, i.e. `p x → p y → f (x + y) ≤ f x + f y`.
Let `g i`, `i ∈ s`, be a finite family of elements of `M` such that `∀ i ∈ s, p (g i)`. Then
`f (∑ x ∈ s, g x) ≤ ∑ x ∈ s, f (g x)`. -/
add_decl_doc le_sum_of_subadditive_on_pred
/-- If `f : M → N` is a submultiplicative function, `f (x * y) ≤ f x * f y`, `f 1 = 1`, and `g i`,
`i ∈ s`, is a finite family of elements of `M`, then `f (∏ i ∈ s, g i) ≤ ∏ i ∈ s, f (g i)`. -/
@[to_additive le_sum_of_subadditive]
theorem le_prod_of_submultiplicative (f : M → N) (h_one : f 1 = 1)
(h_mul : ∀ x y, f (x * y) ≤ f x * f y) (s : Finset ι) (g : ι → M) :
f (∏ i ∈ s, g i) ≤ ∏ i ∈ s, f (g i) := by
refine le_trans (Multiset.le_prod_of_submultiplicative f h_one h_mul _) ?_
rw [Multiset.map_map]
rfl
#align finset.le_prod_of_submultiplicative Finset.le_prod_of_submultiplicative
#align finset.le_sum_of_subadditive Finset.le_sum_of_subadditive
/-- If `f : M → N` is a subadditive function, `f (x + y) ≤ f x + f y`, `f 0 = 0`, and `g i`,
`i ∈ s`, is a finite family of elements of `M`, then `f (∑ i ∈ s, g i) ≤ ∑ i ∈ s, f (g i)`. -/
add_decl_doc le_sum_of_subadditive
variable {f g : ι → N} {s t : Finset ι}
/-- In an ordered commutative monoid, if each factor `f i` of one finite product is less than or
equal to the corresponding factor `g i` of another finite product, then
`∏ i ∈ s, f i ≤ ∏ i ∈ s, g i`. -/
@[to_additive sum_le_sum]
theorem prod_le_prod' (h : ∀ i ∈ s, f i ≤ g i) : ∏ i ∈ s, f i ≤ ∏ i ∈ s, g i :=
Multiset.prod_map_le_prod_map f g h
#align finset.prod_le_prod' Finset.prod_le_prod'
#align finset.sum_le_sum Finset.sum_le_sum
/-- In an ordered additive commutative monoid, if each summand `f i` of one finite sum is less than
or equal to the corresponding summand `g i` of another finite sum, then
`∑ i ∈ s, f i ≤ ∑ i ∈ s, g i`. -/
add_decl_doc sum_le_sum
/-- In an ordered commutative monoid, if each factor `f i` of one finite product is less than or
equal to the corresponding factor `g i` of another finite product, then `s.prod f ≤ s.prod g`.
This is a variant (beta-reduced) version of the standard lemma `Finset.prod_le_prod'`, convenient
for the `gcongr` tactic. -/
@[to_additive (attr := gcongr) GCongr.sum_le_sum]
theorem _root_.GCongr.prod_le_prod' (h : ∀ i ∈ s, f i ≤ g i) : s.prod f ≤ s.prod g :=
s.prod_le_prod' h
/-- In an ordered additive commutative monoid, if each summand `f i` of one finite sum is less than
or equal to the corresponding summand `g i` of another finite sum, then `s.sum f ≤ s.sum g`.
This is a variant (beta-reduced) version of the standard lemma `Finset.sum_le_sum`, convenient
for the `gcongr` tactic. -/
add_decl_doc GCongr.sum_le_sum
@[to_additive sum_nonneg]
theorem one_le_prod' (h : ∀ i ∈ s, 1 ≤ f i) : 1 ≤ ∏ i ∈ s, f i :=
le_trans (by rw [prod_const_one]) (prod_le_prod' h)
#align finset.one_le_prod' Finset.one_le_prod'
#align finset.sum_nonneg Finset.sum_nonneg
@[to_additive Finset.sum_nonneg']
theorem one_le_prod'' (h : ∀ i : ι, 1 ≤ f i) : 1 ≤ ∏ i ∈ s, f i :=
Finset.one_le_prod' fun i _ ↦ h i
#align finset.one_le_prod'' Finset.one_le_prod''
#align finset.sum_nonneg' Finset.sum_nonneg'
@[to_additive sum_nonpos]
theorem prod_le_one' (h : ∀ i ∈ s, f i ≤ 1) : ∏ i ∈ s, f i ≤ 1 :=
(prod_le_prod' h).trans_eq (by rw [prod_const_one])
#align finset.prod_le_one' Finset.prod_le_one'
#align finset.sum_nonpos Finset.sum_nonpos
@[to_additive sum_le_sum_of_subset_of_nonneg]
theorem prod_le_prod_of_subset_of_one_le' (h : s ⊆ t) (hf : ∀ i ∈ t, i ∉ s → 1 ≤ f i) :
∏ i ∈ s, f i ≤ ∏ i ∈ t, f i := by
classical calc
∏ i ∈ s, f i ≤ (∏ i ∈ t \ s, f i) * ∏ i ∈ s, f i :=
le_mul_of_one_le_left' <| one_le_prod' <| by simpa only [mem_sdiff, and_imp]
_ = ∏ i ∈ t \ s ∪ s, f i := (prod_union sdiff_disjoint).symm
_ = ∏ i ∈ t, f i := by rw [sdiff_union_of_subset h]
#align finset.prod_le_prod_of_subset_of_one_le' Finset.prod_le_prod_of_subset_of_one_le'
#align finset.sum_le_sum_of_subset_of_nonneg Finset.sum_le_sum_of_subset_of_nonneg
@[to_additive sum_mono_set_of_nonneg]
theorem prod_mono_set_of_one_le' (hf : ∀ x, 1 ≤ f x) : Monotone fun s ↦ ∏ x ∈ s, f x :=
fun _ _ hst ↦ prod_le_prod_of_subset_of_one_le' hst fun x _ _ ↦ hf x
#align finset.prod_mono_set_of_one_le' Finset.prod_mono_set_of_one_le'
#align finset.sum_mono_set_of_nonneg Finset.sum_mono_set_of_nonneg
@[to_additive sum_le_univ_sum_of_nonneg]
theorem prod_le_univ_prod_of_one_le' [Fintype ι] {s : Finset ι} (w : ∀ x, 1 ≤ f x) :
∏ x ∈ s, f x ≤ ∏ x, f x :=
prod_le_prod_of_subset_of_one_le' (subset_univ s) fun a _ _ ↦ w a
#align finset.prod_le_univ_prod_of_one_le' Finset.prod_le_univ_prod_of_one_le'
#align finset.sum_le_univ_sum_of_nonneg Finset.sum_le_univ_sum_of_nonneg
-- Porting note (#11215): TODO -- The two next lemmas give the same lemma in additive version
@[to_additive sum_eq_zero_iff_of_nonneg]
theorem prod_eq_one_iff_of_one_le' :
(∀ i ∈ s, 1 ≤ f i) → ((∏ i ∈ s, f i) = 1 ↔ ∀ i ∈ s, f i = 1) := by
classical
refine Finset.induction_on s
(fun _ ↦ ⟨fun _ _ h ↦ False.elim (Finset.not_mem_empty _ h), fun _ ↦ rfl⟩) ?_
intro a s ha ih H
have : ∀ i ∈ s, 1 ≤ f i := fun _ ↦ H _ ∘ mem_insert_of_mem
rw [prod_insert ha, mul_eq_one_iff' (H _ <| mem_insert_self _ _) (one_le_prod' this),
forall_mem_insert, ih this]
#align finset.prod_eq_one_iff_of_one_le' Finset.prod_eq_one_iff_of_one_le'
#align finset.sum_eq_zero_iff_of_nonneg Finset.sum_eq_zero_iff_of_nonneg
@[to_additive sum_eq_zero_iff_of_nonpos]
theorem prod_eq_one_iff_of_le_one' :
(∀ i ∈ s, f i ≤ 1) → ((∏ i ∈ s, f i) = 1 ↔ ∀ i ∈ s, f i = 1) :=
@prod_eq_one_iff_of_one_le' _ Nᵒᵈ _ _ _
#align finset.prod_eq_one_iff_of_le_one' Finset.prod_eq_one_iff_of_le_one'
@[to_additive single_le_sum]
theorem single_le_prod' (hf : ∀ i ∈ s, 1 ≤ f i) {a} (h : a ∈ s) : f a ≤ ∏ x ∈ s, f x :=
calc
f a = ∏ i ∈ {a}, f i := (prod_singleton _ _).symm
_ ≤ ∏ i ∈ s, f i :=
prod_le_prod_of_subset_of_one_le' (singleton_subset_iff.2 h) fun i hi _ ↦ hf i hi
#align finset.single_le_prod' Finset.single_le_prod'
#align finset.single_le_sum Finset.single_le_sum
@[to_additive]
lemma mul_le_prod {i j : ι} (hf : ∀ i ∈ s, 1 ≤ f i) (hi : i ∈ s) (hj : j ∈ s) (hne : i ≠ j) :
f i * f j ≤ ∏ k ∈ s, f k :=
calc
f i * f j = ∏ k ∈ .cons i {j} (by simpa), f k := by rw [prod_cons, prod_singleton]
_ ≤ ∏ k ∈ s, f k := by
refine prod_le_prod_of_subset_of_one_le' ?_ fun k hk _ ↦ hf k hk
simp [cons_subset, *]
@[to_additive sum_le_card_nsmul]
theorem prod_le_pow_card (s : Finset ι) (f : ι → N) (n : N) (h : ∀ x ∈ s, f x ≤ n) :
s.prod f ≤ n ^ s.card := by
refine (Multiset.prod_le_pow_card (s.val.map f) n ?_).trans ?_
· simpa using h
· simp
#align finset.prod_le_pow_card Finset.prod_le_pow_card
#align finset.sum_le_card_nsmul Finset.sum_le_card_nsmul
@[to_additive card_nsmul_le_sum]
theorem pow_card_le_prod (s : Finset ι) (f : ι → N) (n : N) (h : ∀ x ∈ s, n ≤ f x) :
n ^ s.card ≤ s.prod f := @Finset.prod_le_pow_card _ Nᵒᵈ _ _ _ _ h
#align finset.pow_card_le_prod Finset.pow_card_le_prod
#align finset.card_nsmul_le_sum Finset.card_nsmul_le_sum
theorem card_biUnion_le_card_mul [DecidableEq β] (s : Finset ι) (f : ι → Finset β) (n : ℕ)
(h : ∀ a ∈ s, (f a).card ≤ n) : (s.biUnion f).card ≤ s.card * n :=
card_biUnion_le.trans <| sum_le_card_nsmul _ _ _ h
#align finset.card_bUnion_le_card_mul Finset.card_biUnion_le_card_mul
variable {ι' : Type*} [DecidableEq ι']
-- Porting note: Mathport warning: expanding binder collection (y «expr ∉ » t)
@[to_additive sum_fiberwise_le_sum_of_sum_fiber_nonneg]
theorem prod_fiberwise_le_prod_of_one_le_prod_fiber' {t : Finset ι'} {g : ι → ι'} {f : ι → N}
(h : ∀ y ∉ t, (1 : N) ≤ ∏ x ∈ s.filter fun x ↦ g x = y, f x) :
(∏ y ∈ t, ∏ x ∈ s.filter fun x ↦ g x = y, f x) ≤ ∏ x ∈ s, f x :=
calc
(∏ y ∈ t, ∏ x ∈ s.filter fun x ↦ g x = y, f x) ≤
∏ y ∈ t ∪ s.image g, ∏ x ∈ s.filter fun x ↦ g x = y, f x :=
prod_le_prod_of_subset_of_one_le' subset_union_left fun y _ ↦ h y
_ = ∏ x ∈ s, f x :=
prod_fiberwise_of_maps_to (fun _ hx ↦ mem_union.2 <| Or.inr <| mem_image_of_mem _ hx) _
#align finset.prod_fiberwise_le_prod_of_one_le_prod_fiber' Finset.prod_fiberwise_le_prod_of_one_le_prod_fiber'
#align finset.sum_fiberwise_le_sum_of_sum_fiber_nonneg Finset.sum_fiberwise_le_sum_of_sum_fiber_nonneg
-- Porting note: Mathport warning: expanding binder collection (y «expr ∉ » t)
@[to_additive sum_le_sum_fiberwise_of_sum_fiber_nonpos]
theorem prod_le_prod_fiberwise_of_prod_fiber_le_one' {t : Finset ι'} {g : ι → ι'} {f : ι → N}
(h : ∀ y ∉ t, ∏ x ∈ s.filter fun x ↦ g x = y, f x ≤ 1) :
∏ x ∈ s, f x ≤ ∏ y ∈ t, ∏ x ∈ s.filter fun x ↦ g x = y, f x :=
@prod_fiberwise_le_prod_of_one_le_prod_fiber' _ Nᵒᵈ _ _ _ _ _ _ _ h
#align finset.prod_le_prod_fiberwise_of_prod_fiber_le_one' Finset.prod_le_prod_fiberwise_of_prod_fiber_le_one'
#align finset.sum_le_sum_fiberwise_of_sum_fiber_nonpos Finset.sum_le_sum_fiberwise_of_sum_fiber_nonpos
end OrderedCommMonoid
theorem abs_sum_le_sum_abs {G : Type*} [LinearOrderedAddCommGroup G] (f : ι → G) (s : Finset ι) :
|∑ i ∈ s, f i| ≤ ∑ i ∈ s, |f i| := le_sum_of_subadditive _ abs_zero abs_add s f
#align finset.abs_sum_le_sum_abs Finset.abs_sum_le_sum_abs
theorem abs_sum_of_nonneg {G : Type*} [LinearOrderedAddCommGroup G] {f : ι → G} {s : Finset ι}
(hf : ∀ i ∈ s, 0 ≤ f i) : |∑ i ∈ s, f i| = ∑ i ∈ s, f i := by
rw [abs_of_nonneg (Finset.sum_nonneg hf)]
#align finset.abs_sum_of_nonneg Finset.abs_sum_of_nonneg
theorem abs_sum_of_nonneg' {G : Type*} [LinearOrderedAddCommGroup G] {f : ι → G} {s : Finset ι}
(hf : ∀ i, 0 ≤ f i) : |∑ i ∈ s, f i| = ∑ i ∈ s, f i := by
rw [abs_of_nonneg (Finset.sum_nonneg' hf)]
#align finset.abs_sum_of_nonneg' Finset.abs_sum_of_nonneg'
section Pigeonhole
variable [DecidableEq β]
theorem card_le_mul_card_image_of_maps_to {f : α → β} {s : Finset α} {t : Finset β}
(Hf : ∀ a ∈ s, f a ∈ t) (n : ℕ) (hn : ∀ a ∈ t, (s.filter fun x ↦ f x = a).card ≤ n) :
s.card ≤ n * t.card :=
calc
s.card = ∑ a ∈ t, (s.filter fun x ↦ f x = a).card := card_eq_sum_card_fiberwise Hf
_ ≤ ∑ _a ∈ t, n := sum_le_sum hn
_ = _ := by simp [mul_comm]
#align finset.card_le_mul_card_image_of_maps_to Finset.card_le_mul_card_image_of_maps_to
theorem card_le_mul_card_image {f : α → β} (s : Finset α) (n : ℕ)
(hn : ∀ a ∈ s.image f, (s.filter fun x ↦ f x = a).card ≤ n) : s.card ≤ n * (s.image f).card :=
card_le_mul_card_image_of_maps_to (fun _ ↦ mem_image_of_mem _) n hn
#align finset.card_le_mul_card_image Finset.card_le_mul_card_image
theorem mul_card_image_le_card_of_maps_to {f : α → β} {s : Finset α} {t : Finset β}
(Hf : ∀ a ∈ s, f a ∈ t) (n : ℕ) (hn : ∀ a ∈ t, n ≤ (s.filter fun x ↦ f x = a).card) :
n * t.card ≤ s.card :=
calc
n * t.card = ∑ _a ∈ t, n := by simp [mul_comm]
_ ≤ ∑ a ∈ t, (s.filter fun x ↦ f x = a).card := sum_le_sum hn
_ = s.card := by rw [← card_eq_sum_card_fiberwise Hf]
#align finset.mul_card_image_le_card_of_maps_to Finset.mul_card_image_le_card_of_maps_to
theorem mul_card_image_le_card {f : α → β} (s : Finset α) (n : ℕ)
(hn : ∀ a ∈ s.image f, n ≤ (s.filter fun x ↦ f x = a).card) : n * (s.image f).card ≤ s.card :=
mul_card_image_le_card_of_maps_to (fun _ ↦ mem_image_of_mem _) n hn
#align finset.mul_card_image_le_card Finset.mul_card_image_le_card
end Pigeonhole
section DoubleCounting
variable [DecidableEq α] {s : Finset α} {B : Finset (Finset α)} {n : ℕ}
/-- If every element belongs to at most `n` Finsets, then the sum of their sizes is at most `n`
times how many they are. -/
theorem sum_card_inter_le (h : ∀ a ∈ s, (B.filter (a ∈ ·)).card ≤ n) :
(∑ t ∈ B, (s ∩ t).card) ≤ s.card * n := by
refine le_trans ?_ (s.sum_le_card_nsmul _ _ h)
simp_rw [← filter_mem_eq_inter, card_eq_sum_ones, sum_filter]
exact sum_comm.le
#align finset.sum_card_inter_le Finset.sum_card_inter_le
/-- If every element belongs to at most `n` Finsets, then the sum of their sizes is at most `n`
times how many they are. -/
theorem sum_card_le [Fintype α] (h : ∀ a, (B.filter (a ∈ ·)).card ≤ n) :
∑ s ∈ B, s.card ≤ Fintype.card α * n :=
calc
∑ s ∈ B, s.card = ∑ s ∈ B, (univ ∩ s).card := by simp_rw [univ_inter]
_ ≤ Fintype.card α * n := sum_card_inter_le fun a _ ↦ h a
#align finset.sum_card_le Finset.sum_card_le
/-- If every element belongs to at least `n` Finsets, then the sum of their sizes is at least `n`
times how many they are. -/
theorem le_sum_card_inter (h : ∀ a ∈ s, n ≤ (B.filter (a ∈ ·)).card) :
s.card * n ≤ ∑ t ∈ B, (s ∩ t).card := by
apply (s.card_nsmul_le_sum _ _ h).trans
simp_rw [← filter_mem_eq_inter, card_eq_sum_ones, sum_filter]
exact sum_comm.le
#align finset.le_sum_card_inter Finset.le_sum_card_inter
/-- If every element belongs to at least `n` Finsets, then the sum of their sizes is at least `n`
times how many they are. -/
theorem le_sum_card [Fintype α] (h : ∀ a, n ≤ (B.filter (a ∈ ·)).card) :
Fintype.card α * n ≤ ∑ s ∈ B, s.card :=
calc
Fintype.card α * n ≤ ∑ s ∈ B, (univ ∩ s).card := le_sum_card_inter fun a _ ↦ h a
_ = ∑ s ∈ B, s.card := by simp_rw [univ_inter]
#align finset.le_sum_card Finset.le_sum_card
/-- If every element belongs to exactly `n` Finsets, then the sum of their sizes is `n` times how
many they are. -/
theorem sum_card_inter (h : ∀ a ∈ s, (B.filter (a ∈ ·)).card = n) :
(∑ t ∈ B, (s ∩ t).card) = s.card * n :=
(sum_card_inter_le fun a ha ↦ (h a ha).le).antisymm (le_sum_card_inter fun a ha ↦ (h a ha).ge)
#align finset.sum_card_inter Finset.sum_card_inter
/-- If every element belongs to exactly `n` Finsets, then the sum of their sizes is `n` times how
many they are. -/
theorem sum_card [Fintype α] (h : ∀ a, (B.filter (a ∈ ·)).card = n) :
∑ s ∈ B, s.card = Fintype.card α * n := by
simp_rw [Fintype.card, ← sum_card_inter fun a _ ↦ h a, univ_inter]
#align finset.sum_card Finset.sum_card
theorem card_le_card_biUnion {s : Finset ι} {f : ι → Finset α} (hs : (s : Set ι).PairwiseDisjoint f)
(hf : ∀ i ∈ s, (f i).Nonempty) : s.card ≤ (s.biUnion f).card := by
rw [card_biUnion hs, card_eq_sum_ones]
exact sum_le_sum fun i hi ↦ (hf i hi).card_pos
#align finset.card_le_card_bUnion Finset.card_le_card_biUnion
theorem card_le_card_biUnion_add_card_fiber {s : Finset ι} {f : ι → Finset α}
(hs : (s : Set ι).PairwiseDisjoint f) :
s.card ≤ (s.biUnion f).card + (s.filter fun i ↦ f i = ∅).card := by
rw [← Finset.filter_card_add_filter_neg_card_eq_card fun i ↦ f i = ∅, add_comm]
exact
add_le_add_right
((card_le_card_biUnion (hs.subset <| filter_subset _ _) fun i hi ↦
nonempty_of_ne_empty <| (mem_filter.1 hi).2).trans <|
card_le_card <| biUnion_subset_biUnion_of_subset_left _ <| filter_subset _ _)
_
#align finset.card_le_card_bUnion_add_card_fiber Finset.card_le_card_biUnion_add_card_fiber
theorem card_le_card_biUnion_add_one {s : Finset ι} {f : ι → Finset α} (hf : Injective f)
(hs : (s : Set ι).PairwiseDisjoint f) : s.card ≤ (s.biUnion f).card + 1 :=
(card_le_card_biUnion_add_card_fiber hs).trans <|
add_le_add_left
(card_le_one.2 fun _ hi _ hj ↦ hf <| (mem_filter.1 hi).2.trans (mem_filter.1 hj).2.symm) _
#align finset.card_le_card_bUnion_add_one Finset.card_le_card_biUnion_add_one
end DoubleCounting
section CanonicallyOrderedCommMonoid
variable [CanonicallyOrderedCommMonoid M] {f : ι → M} {s t : Finset ι}
/-- In a canonically-ordered monoid, a product bounds each of its terms.
See also `Finset.single_le_prod'`. -/
@[to_additive "In a canonically-ordered additive monoid, a sum bounds each of its terms.
See also `Finset.single_le_sum`."]
lemma _root_.CanonicallyOrderedCommMonoid.single_le_prod {i : ι} (hi : i ∈ s) :
f i ≤ ∏ j ∈ s, f j :=
single_le_prod' (fun _ _ ↦ one_le _) hi
@[to_additive (attr := simp) sum_eq_zero_iff]
theorem prod_eq_one_iff' : ∏ x ∈ s, f x = 1 ↔ ∀ x ∈ s, f x = 1 :=
prod_eq_one_iff_of_one_le' fun x _ ↦ one_le (f x)
#align finset.prod_eq_one_iff' Finset.prod_eq_one_iff'
#align finset.sum_eq_zero_iff Finset.sum_eq_zero_iff
@[to_additive sum_le_sum_of_subset]
theorem prod_le_prod_of_subset' (h : s ⊆ t) : ∏ x ∈ s, f x ≤ ∏ x ∈ t, f x :=
prod_le_prod_of_subset_of_one_le' h fun _ _ _ ↦ one_le _
#align finset.prod_le_prod_of_subset' Finset.prod_le_prod_of_subset'
#align finset.sum_le_sum_of_subset Finset.sum_le_sum_of_subset
@[to_additive sum_mono_set]
theorem prod_mono_set' (f : ι → M) : Monotone fun s ↦ ∏ x ∈ s, f x := fun _ _ hs ↦
prod_le_prod_of_subset' hs
#align finset.prod_mono_set' Finset.prod_mono_set'
#align finset.sum_mono_set Finset.sum_mono_set
@[to_additive sum_le_sum_of_ne_zero]
theorem prod_le_prod_of_ne_one' (h : ∀ x ∈ s, f x ≠ 1 → x ∈ t) :
∏ x ∈ s, f x ≤ ∏ x ∈ t, f x := by
classical calc
∏ x ∈ s, f x = (∏ x ∈ s.filter fun x ↦ f x = 1, f x) *
∏ x ∈ s.filter fun x ↦ f x ≠ 1, f x := by
rw [← prod_union, filter_union_filter_neg_eq]
exact disjoint_filter.2 fun _ _ h n_h ↦ n_h h
_ ≤ ∏ x ∈ t, f x :=
mul_le_of_le_one_of_le
(prod_le_one' <| by simp only [mem_filter, and_imp]; exact fun _ _ ↦ le_of_eq)
(prod_le_prod_of_subset' <| by simpa only [subset_iff, mem_filter, and_imp] )
#align finset.prod_le_prod_of_ne_one' Finset.prod_le_prod_of_ne_one'
#align finset.sum_le_sum_of_ne_zero Finset.sum_le_sum_of_ne_zero
end CanonicallyOrderedCommMonoid
section OrderedCancelCommMonoid
variable [OrderedCancelCommMonoid M] {f g : ι → M} {s t : Finset ι}
@[to_additive sum_lt_sum]
theorem prod_lt_prod' (hle : ∀ i ∈ s, f i ≤ g i) (hlt : ∃ i ∈ s, f i < g i) :
∏ i ∈ s, f i < ∏ i ∈ s, g i :=
Multiset.prod_lt_prod' hle hlt
#align finset.prod_lt_prod' Finset.prod_lt_prod'
#align finset.sum_lt_sum Finset.sum_lt_sum
@[to_additive sum_lt_sum_of_nonempty]
theorem prod_lt_prod_of_nonempty' (hs : s.Nonempty) (hlt : ∀ i ∈ s, f i < g i) :
∏ i ∈ s, f i < ∏ i ∈ s, g i :=
Multiset.prod_lt_prod_of_nonempty' (by aesop) hlt
#align finset.prod_lt_prod_of_nonempty' Finset.prod_lt_prod_of_nonempty'
#align finset.sum_lt_sum_of_nonempty Finset.sum_lt_sum_of_nonempty
/-- In an ordered commutative monoid, if each factor `f i` of one nontrivial finite product is
strictly less than the corresponding factor `g i` of another nontrivial finite product, then
`s.prod f < s.prod g`.
This is a variant (beta-reduced) version of the standard lemma `Finset.prod_lt_prod_of_nonempty'`,
convenient for the `gcongr` tactic. -/
@[to_additive (attr := gcongr) GCongr.sum_lt_sum_of_nonempty]
theorem _root_.GCongr.prod_lt_prod_of_nonempty' (hs : s.Nonempty) (Hlt : ∀ i ∈ s, f i < g i) :
s.prod f < s.prod g :=
s.prod_lt_prod_of_nonempty' hs Hlt
/-- In an ordered additive commutative monoid, if each summand `f i` of one nontrivial finite sum is
strictly less than the corresponding summand `g i` of another nontrivial finite sum, then
`s.sum f < s.sum g`.
This is a variant (beta-reduced) version of the standard lemma `Finset.sum_lt_sum_of_nonempty`,
convenient for the `gcongr` tactic. -/
add_decl_doc GCongr.sum_lt_sum_of_nonempty
-- Porting note (#11215): TODO -- calc indentation
@[to_additive sum_lt_sum_of_subset]
theorem prod_lt_prod_of_subset' (h : s ⊆ t) {i : ι} (ht : i ∈ t) (hs : i ∉ s) (hlt : 1 < f i)
(hle : ∀ j ∈ t, j ∉ s → 1 ≤ f j) : ∏ j ∈ s, f j < ∏ j ∈ t, f j := by
classical calc
∏ j ∈ s, f j < ∏ j ∈ insert i s, f j := by
rw [prod_insert hs]
exact lt_mul_of_one_lt_left' (∏ j ∈ s, f j) hlt
_ ≤ ∏ j ∈ t, f j := by
apply prod_le_prod_of_subset_of_one_le'
· simp [Finset.insert_subset_iff, h, ht]
· intro x hx h'x
simp only [mem_insert, not_or] at h'x
exact hle x hx h'x.2
#align finset.prod_lt_prod_of_subset' Finset.prod_lt_prod_of_subset'
#align finset.sum_lt_sum_of_subset Finset.sum_lt_sum_of_subset
@[to_additive single_lt_sum]
| Mathlib/Algebra/Order/BigOperators/Group/Finset.lean | 496 | 502 | theorem single_lt_prod' {i j : ι} (hij : j ≠ i) (hi : i ∈ s) (hj : j ∈ s) (hlt : 1 < f j)
(hle : ∀ k ∈ s, k ≠ i → 1 ≤ f k) : f i < ∏ k ∈ s, f k :=
calc
f i = ∏ k ∈ {i}, f k := by | rw [prod_singleton]
_ < ∏ k ∈ s, f k :=
prod_lt_prod_of_subset' (singleton_subset_iff.2 hi) hj (mt mem_singleton.1 hij) hlt
fun k hks hki ↦ hle k hks (mt mem_singleton.2 hki)
|
/-
Copyright (c) 2021 Benjamin Davidson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Benjamin Davidson
-/
import Mathlib.MeasureTheory.Integral.FundThmCalculus
import Mathlib.Analysis.SpecialFunctions.Trigonometric.ArctanDeriv
import Mathlib.Analysis.SpecialFunctions.NonIntegrable
import Mathlib.Analysis.SpecialFunctions.Pow.Deriv
#align_import analysis.special_functions.integrals from "leanprover-community/mathlib"@"011cafb4a5bc695875d186e245d6b3df03bf6c40"
/-!
# Integration of specific interval integrals
This file contains proofs of the integrals of various specific functions. This includes:
* Integrals of simple functions, such as `id`, `pow`, `inv`, `exp`, `log`
* Integrals of some trigonometric functions, such as `sin`, `cos`, `1 / (1 + x^2)`
* The integral of `cos x ^ 2 - sin x ^ 2`
* Reduction formulae for the integrals of `sin x ^ n` and `cos x ^ n` for `n ≥ 2`
* The computation of `∫ x in 0..π, sin x ^ n` as a product for even and odd `n` (used in proving the
Wallis product for pi)
* Integrals of the form `sin x ^ m * cos x ^ n`
With these lemmas, many simple integrals can be computed by `simp` or `norm_num`.
See `test/integration.lean` for specific examples.
This file also contains some facts about the interval integrability of specific functions.
This file is still being developed.
## Tags
integrate, integration, integrable, integrability
-/
open Real Nat Set Finset
open scoped Real Interval
variable {a b : ℝ} (n : ℕ)
namespace intervalIntegral
open MeasureTheory
variable {f : ℝ → ℝ} {μ ν : Measure ℝ} [IsLocallyFiniteMeasure μ] (c d : ℝ)
/-! ### Interval integrability -/
@[simp]
theorem intervalIntegrable_pow : IntervalIntegrable (fun x => x ^ n) μ a b :=
(continuous_pow n).intervalIntegrable a b
#align interval_integral.interval_integrable_pow intervalIntegral.intervalIntegrable_pow
theorem intervalIntegrable_zpow {n : ℤ} (h : 0 ≤ n ∨ (0 : ℝ) ∉ [[a, b]]) :
IntervalIntegrable (fun x => x ^ n) μ a b :=
(continuousOn_id.zpow₀ n fun _ hx => h.symm.imp (ne_of_mem_of_not_mem hx) id).intervalIntegrable
#align interval_integral.interval_integrable_zpow intervalIntegral.intervalIntegrable_zpow
/-- See `intervalIntegrable_rpow'` for a version with a weaker hypothesis on `r`, but assuming the
measure is volume. -/
theorem intervalIntegrable_rpow {r : ℝ} (h : 0 ≤ r ∨ (0 : ℝ) ∉ [[a, b]]) :
IntervalIntegrable (fun x => x ^ r) μ a b :=
(continuousOn_id.rpow_const fun _ hx =>
h.symm.imp (ne_of_mem_of_not_mem hx) id).intervalIntegrable
#align interval_integral.interval_integrable_rpow intervalIntegral.intervalIntegrable_rpow
/-- See `intervalIntegrable_rpow` for a version applying to any locally finite measure, but with a
stronger hypothesis on `r`. -/
theorem intervalIntegrable_rpow' {r : ℝ} (h : -1 < r) :
IntervalIntegrable (fun x => x ^ r) volume a b := by
suffices ∀ c : ℝ, IntervalIntegrable (fun x => x ^ r) volume 0 c by
exact IntervalIntegrable.trans (this a).symm (this b)
have : ∀ c : ℝ, 0 ≤ c → IntervalIntegrable (fun x => x ^ r) volume 0 c := by
intro c hc
rw [intervalIntegrable_iff, uIoc_of_le hc]
have hderiv : ∀ x ∈ Ioo 0 c, HasDerivAt (fun x : ℝ => x ^ (r + 1) / (r + 1)) (x ^ r) x := by
intro x hx
convert (Real.hasDerivAt_rpow_const (p := r + 1) (Or.inl hx.1.ne')).div_const (r + 1) using 1
field_simp [(by linarith : r + 1 ≠ 0)]
apply integrableOn_deriv_of_nonneg _ hderiv
· intro x hx; apply rpow_nonneg hx.1.le
· refine (continuousOn_id.rpow_const ?_).div_const _; intro x _; right; linarith
intro c; rcases le_total 0 c with (hc | hc)
· exact this c hc
· rw [IntervalIntegrable.iff_comp_neg, neg_zero]
have m := (this (-c) (by linarith)).smul (cos (r * π))
rw [intervalIntegrable_iff] at m ⊢
refine m.congr_fun ?_ measurableSet_Ioc; intro x hx
rw [uIoc_of_le (by linarith : 0 ≤ -c)] at hx
simp only [Pi.smul_apply, Algebra.id.smul_eq_mul, log_neg_eq_log, mul_comm,
rpow_def_of_pos hx.1, rpow_def_of_neg (by linarith [hx.1] : -x < 0)]
#align interval_integral.interval_integrable_rpow' intervalIntegral.intervalIntegrable_rpow'
/-- The power function `x ↦ x^s` is integrable on `(0, t)` iff `-1 < s`. -/
lemma integrableOn_Ioo_rpow_iff {s t : ℝ} (ht : 0 < t) :
IntegrableOn (fun x ↦ x ^ s) (Ioo (0 : ℝ) t) ↔ -1 < s := by
refine ⟨fun h ↦ ?_, fun h ↦ by simpa [intervalIntegrable_iff_integrableOn_Ioo_of_le ht.le]
using intervalIntegrable_rpow' h (a := 0) (b := t)⟩
contrapose! h
intro H
have I : 0 < min 1 t := lt_min zero_lt_one ht
have H' : IntegrableOn (fun x ↦ x ^ s) (Ioo 0 (min 1 t)) :=
H.mono (Set.Ioo_subset_Ioo le_rfl (min_le_right _ _)) le_rfl
have : IntegrableOn (fun x ↦ x⁻¹) (Ioo 0 (min 1 t)) := by
apply H'.mono' measurable_inv.aestronglyMeasurable
filter_upwards [ae_restrict_mem measurableSet_Ioo] with x hx
simp only [norm_inv, Real.norm_eq_abs, abs_of_nonneg (le_of_lt hx.1)]
rwa [← Real.rpow_neg_one x, Real.rpow_le_rpow_left_iff_of_base_lt_one hx.1]
exact lt_of_lt_of_le hx.2 (min_le_left _ _)
have : IntervalIntegrable (fun x ↦ x⁻¹) volume 0 (min 1 t) := by
rwa [intervalIntegrable_iff_integrableOn_Ioo_of_le I.le]
simp [intervalIntegrable_inv_iff, I.ne] at this
/-- See `intervalIntegrable_cpow'` for a version with a weaker hypothesis on `r`, but assuming the
measure is volume. -/
theorem intervalIntegrable_cpow {r : ℂ} (h : 0 ≤ r.re ∨ (0 : ℝ) ∉ [[a, b]]) :
IntervalIntegrable (fun x : ℝ => (x : ℂ) ^ r) μ a b := by
by_cases h2 : (0 : ℝ) ∉ [[a, b]]
· -- Easy case #1: 0 ∉ [a, b] -- use continuity.
refine (ContinuousAt.continuousOn fun x hx => ?_).intervalIntegrable
exact Complex.continuousAt_ofReal_cpow_const _ _ (Or.inr <| ne_of_mem_of_not_mem hx h2)
rw [eq_false h2, or_false_iff] at h
rcases lt_or_eq_of_le h with (h' | h')
· -- Easy case #2: 0 < re r -- again use continuity
exact (Complex.continuous_ofReal_cpow_const h').intervalIntegrable _ _
-- Now the hard case: re r = 0 and 0 is in the interval.
refine (IntervalIntegrable.intervalIntegrable_norm_iff ?_).mp ?_
· refine (measurable_of_continuousOn_compl_singleton (0 : ℝ) ?_).aestronglyMeasurable
exact ContinuousAt.continuousOn fun x hx =>
Complex.continuousAt_ofReal_cpow_const x r (Or.inr hx)
-- reduce to case of integral over `[0, c]`
suffices ∀ c : ℝ, IntervalIntegrable (fun x : ℝ => ‖(x:ℂ) ^ r‖) μ 0 c from
(this a).symm.trans (this b)
intro c
rcases le_or_lt 0 c with (hc | hc)
· -- case `0 ≤ c`: integrand is identically 1
have : IntervalIntegrable (fun _ => 1 : ℝ → ℝ) μ 0 c := intervalIntegrable_const
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hc] at this ⊢
refine IntegrableOn.congr_fun this (fun x hx => ?_) measurableSet_Ioc
dsimp only
rw [Complex.norm_eq_abs, Complex.abs_cpow_eq_rpow_re_of_pos hx.1, ← h', rpow_zero]
· -- case `c < 0`: integrand is identically constant, *except* at `x = 0` if `r ≠ 0`.
apply IntervalIntegrable.symm
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hc.le]
have : Ioc c 0 = Ioo c 0 ∪ {(0 : ℝ)} := by
rw [← Ioo_union_Icc_eq_Ioc hc (le_refl 0), ← Icc_def]
simp_rw [← le_antisymm_iff, setOf_eq_eq_singleton']
rw [this, integrableOn_union, and_comm]; constructor
· refine integrableOn_singleton_iff.mpr (Or.inr ?_)
exact isFiniteMeasureOnCompacts_of_isLocallyFiniteMeasure.lt_top_of_isCompact
isCompact_singleton
· have : ∀ x : ℝ, x ∈ Ioo c 0 → ‖Complex.exp (↑π * Complex.I * r)‖ = ‖(x : ℂ) ^ r‖ := by
intro x hx
rw [Complex.ofReal_cpow_of_nonpos hx.2.le, norm_mul, ← Complex.ofReal_neg,
Complex.norm_eq_abs (_ ^ _), Complex.abs_cpow_eq_rpow_re_of_pos (neg_pos.mpr hx.2), ← h',
rpow_zero, one_mul]
refine IntegrableOn.congr_fun ?_ this measurableSet_Ioo
rw [integrableOn_const]
refine Or.inr ((measure_mono Set.Ioo_subset_Icc_self).trans_lt ?_)
exact isFiniteMeasureOnCompacts_of_isLocallyFiniteMeasure.lt_top_of_isCompact isCompact_Icc
#align interval_integral.interval_integrable_cpow intervalIntegral.intervalIntegrable_cpow
/-- See `intervalIntegrable_cpow` for a version applying to any locally finite measure, but with a
stronger hypothesis on `r`. -/
theorem intervalIntegrable_cpow' {r : ℂ} (h : -1 < r.re) :
IntervalIntegrable (fun x : ℝ => (x : ℂ) ^ r) volume a b := by
suffices ∀ c : ℝ, IntervalIntegrable (fun x => (x : ℂ) ^ r) volume 0 c by
exact IntervalIntegrable.trans (this a).symm (this b)
have : ∀ c : ℝ, 0 ≤ c → IntervalIntegrable (fun x => (x : ℂ) ^ r) volume 0 c := by
intro c hc
rw [← IntervalIntegrable.intervalIntegrable_norm_iff]
· rw [intervalIntegrable_iff]
apply IntegrableOn.congr_fun
· rw [← intervalIntegrable_iff]; exact intervalIntegral.intervalIntegrable_rpow' h
· intro x hx
rw [uIoc_of_le hc] at hx
dsimp only
rw [Complex.norm_eq_abs, Complex.abs_cpow_eq_rpow_re_of_pos hx.1]
· exact measurableSet_uIoc
· refine ContinuousOn.aestronglyMeasurable ?_ measurableSet_uIoc
refine ContinuousAt.continuousOn fun x hx => ?_
rw [uIoc_of_le hc] at hx
refine (continuousAt_cpow_const (Or.inl ?_)).comp Complex.continuous_ofReal.continuousAt
rw [Complex.ofReal_re]
exact hx.1
intro c; rcases le_total 0 c with (hc | hc)
· exact this c hc
· rw [IntervalIntegrable.iff_comp_neg, neg_zero]
have m := (this (-c) (by linarith)).const_mul (Complex.exp (π * Complex.I * r))
rw [intervalIntegrable_iff, uIoc_of_le (by linarith : 0 ≤ -c)] at m ⊢
refine m.congr_fun (fun x hx => ?_) measurableSet_Ioc
dsimp only
have : -x ≤ 0 := by linarith [hx.1]
rw [Complex.ofReal_cpow_of_nonpos this, mul_comm]
simp
#align interval_integral.interval_integrable_cpow' intervalIntegral.intervalIntegrable_cpow'
/-- The complex power function `x ↦ x^s` is integrable on `(0, t)` iff `-1 < s.re`. -/
theorem integrableOn_Ioo_cpow_iff {s : ℂ} {t : ℝ} (ht : 0 < t) :
IntegrableOn (fun x : ℝ ↦ (x : ℂ) ^ s) (Ioo (0 : ℝ) t) ↔ -1 < s.re := by
refine ⟨fun h ↦ ?_, fun h ↦ by simpa [intervalIntegrable_iff_integrableOn_Ioo_of_le ht.le]
using intervalIntegrable_cpow' h (a := 0) (b := t)⟩
have B : IntegrableOn (fun a ↦ a ^ s.re) (Ioo 0 t) := by
apply (integrableOn_congr_fun _ measurableSet_Ioo).1 h.norm
intro a ha
simp [Complex.abs_cpow_eq_rpow_re_of_pos ha.1]
rwa [integrableOn_Ioo_rpow_iff ht] at B
@[simp]
theorem intervalIntegrable_id : IntervalIntegrable (fun x => x) μ a b :=
continuous_id.intervalIntegrable a b
#align interval_integral.interval_integrable_id intervalIntegral.intervalIntegrable_id
-- @[simp] -- Porting note (#10618): simp can prove this
theorem intervalIntegrable_const : IntervalIntegrable (fun _ => c) μ a b :=
continuous_const.intervalIntegrable a b
#align interval_integral.interval_integrable_const intervalIntegral.intervalIntegrable_const
theorem intervalIntegrable_one_div (h : ∀ x : ℝ, x ∈ [[a, b]] → f x ≠ 0)
(hf : ContinuousOn f [[a, b]]) : IntervalIntegrable (fun x => 1 / f x) μ a b :=
(continuousOn_const.div hf h).intervalIntegrable
#align interval_integral.interval_integrable_one_div intervalIntegral.intervalIntegrable_one_div
@[simp]
theorem intervalIntegrable_inv (h : ∀ x : ℝ, x ∈ [[a, b]] → f x ≠ 0)
(hf : ContinuousOn f [[a, b]]) : IntervalIntegrable (fun x => (f x)⁻¹) μ a b := by
simpa only [one_div] using intervalIntegrable_one_div h hf
#align interval_integral.interval_integrable_inv intervalIntegral.intervalIntegrable_inv
@[simp]
theorem intervalIntegrable_exp : IntervalIntegrable exp μ a b :=
continuous_exp.intervalIntegrable a b
#align interval_integral.interval_integrable_exp intervalIntegral.intervalIntegrable_exp
@[simp]
theorem _root_.IntervalIntegrable.log (hf : ContinuousOn f [[a, b]])
(h : ∀ x : ℝ, x ∈ [[a, b]] → f x ≠ 0) :
IntervalIntegrable (fun x => log (f x)) μ a b :=
(ContinuousOn.log hf h).intervalIntegrable
#align interval_integrable.log IntervalIntegrable.log
@[simp]
theorem intervalIntegrable_log (h : (0 : ℝ) ∉ [[a, b]]) : IntervalIntegrable log μ a b :=
IntervalIntegrable.log continuousOn_id fun _ hx => ne_of_mem_of_not_mem hx h
#align interval_integral.interval_integrable_log intervalIntegral.intervalIntegrable_log
@[simp]
theorem intervalIntegrable_sin : IntervalIntegrable sin μ a b :=
continuous_sin.intervalIntegrable a b
#align interval_integral.interval_integrable_sin intervalIntegral.intervalIntegrable_sin
@[simp]
theorem intervalIntegrable_cos : IntervalIntegrable cos μ a b :=
continuous_cos.intervalIntegrable a b
#align interval_integral.interval_integrable_cos intervalIntegral.intervalIntegrable_cos
theorem intervalIntegrable_one_div_one_add_sq :
IntervalIntegrable (fun x : ℝ => 1 / (↑1 + x ^ 2)) μ a b := by
refine (continuous_const.div ?_ fun x => ?_).intervalIntegrable a b
· continuity
· nlinarith
#align interval_integral.interval_integrable_one_div_one_add_sq intervalIntegral.intervalIntegrable_one_div_one_add_sq
@[simp]
theorem intervalIntegrable_inv_one_add_sq :
IntervalIntegrable (fun x : ℝ => (↑1 + x ^ 2)⁻¹) μ a b := by
field_simp; exact mod_cast intervalIntegrable_one_div_one_add_sq
#align interval_integral.interval_integrable_inv_one_add_sq intervalIntegral.intervalIntegrable_inv_one_add_sq
/-! ### Integrals of the form `c * ∫ x in a..b, f (c * x + d)` -/
-- Porting note (#10618): was @[simp];
-- simpNF says LHS does not simplify when applying lemma on itself
theorem mul_integral_comp_mul_right : (c * ∫ x in a..b, f (x * c)) = ∫ x in a * c..b * c, f x :=
smul_integral_comp_mul_right f c
#align interval_integral.mul_integral_comp_mul_right intervalIntegral.mul_integral_comp_mul_right
-- Porting note (#10618): was @[simp]
theorem mul_integral_comp_mul_left : (c * ∫ x in a..b, f (c * x)) = ∫ x in c * a..c * b, f x :=
smul_integral_comp_mul_left f c
#align interval_integral.mul_integral_comp_mul_left intervalIntegral.mul_integral_comp_mul_left
-- Porting note (#10618): was @[simp]
theorem inv_mul_integral_comp_div : (c⁻¹ * ∫ x in a..b, f (x / c)) = ∫ x in a / c..b / c, f x :=
inv_smul_integral_comp_div f c
#align interval_integral.inv_mul_integral_comp_div intervalIntegral.inv_mul_integral_comp_div
-- Porting note (#10618): was @[simp]
theorem mul_integral_comp_mul_add :
(c * ∫ x in a..b, f (c * x + d)) = ∫ x in c * a + d..c * b + d, f x :=
smul_integral_comp_mul_add f c d
#align interval_integral.mul_integral_comp_mul_add intervalIntegral.mul_integral_comp_mul_add
-- Porting note (#10618): was @[simp]
theorem mul_integral_comp_add_mul :
(c * ∫ x in a..b, f (d + c * x)) = ∫ x in d + c * a..d + c * b, f x :=
smul_integral_comp_add_mul f c d
#align interval_integral.mul_integral_comp_add_mul intervalIntegral.mul_integral_comp_add_mul
-- Porting note (#10618): was @[simp]
theorem inv_mul_integral_comp_div_add :
(c⁻¹ * ∫ x in a..b, f (x / c + d)) = ∫ x in a / c + d..b / c + d, f x :=
inv_smul_integral_comp_div_add f c d
#align interval_integral.inv_mul_integral_comp_div_add intervalIntegral.inv_mul_integral_comp_div_add
-- Porting note (#10618): was @[simp]
theorem inv_mul_integral_comp_add_div :
(c⁻¹ * ∫ x in a..b, f (d + x / c)) = ∫ x in d + a / c..d + b / c, f x :=
inv_smul_integral_comp_add_div f c d
#align interval_integral.inv_mul_integral_comp_add_div intervalIntegral.inv_mul_integral_comp_add_div
-- Porting note (#10618): was @[simp]
theorem mul_integral_comp_mul_sub :
(c * ∫ x in a..b, f (c * x - d)) = ∫ x in c * a - d..c * b - d, f x :=
smul_integral_comp_mul_sub f c d
#align interval_integral.mul_integral_comp_mul_sub intervalIntegral.mul_integral_comp_mul_sub
-- Porting note (#10618): was @[simp]
theorem mul_integral_comp_sub_mul :
(c * ∫ x in a..b, f (d - c * x)) = ∫ x in d - c * b..d - c * a, f x :=
smul_integral_comp_sub_mul f c d
#align interval_integral.mul_integral_comp_sub_mul intervalIntegral.mul_integral_comp_sub_mul
-- Porting note (#10618): was @[simp]
theorem inv_mul_integral_comp_div_sub :
(c⁻¹ * ∫ x in a..b, f (x / c - d)) = ∫ x in a / c - d..b / c - d, f x :=
inv_smul_integral_comp_div_sub f c d
#align interval_integral.inv_mul_integral_comp_div_sub intervalIntegral.inv_mul_integral_comp_div_sub
-- Porting note (#10618): was @[simp]
theorem inv_mul_integral_comp_sub_div :
(c⁻¹ * ∫ x in a..b, f (d - x / c)) = ∫ x in d - b / c..d - a / c, f x :=
inv_smul_integral_comp_sub_div f c d
#align interval_integral.inv_mul_integral_comp_sub_div intervalIntegral.inv_mul_integral_comp_sub_div
end intervalIntegral
open intervalIntegral
/-! ### Integrals of simple functions -/
theorem integral_cpow {r : ℂ} (h : -1 < r.re ∨ r ≠ -1 ∧ (0 : ℝ) ∉ [[a, b]]) :
(∫ x : ℝ in a..b, (x : ℂ) ^ r) = ((b:ℂ) ^ (r + 1) - (a:ℂ) ^ (r + 1)) / (r + 1) := by
rw [sub_div]
have hr : r + 1 ≠ 0 := by
cases' h with h h
· apply_fun Complex.re
rw [Complex.add_re, Complex.one_re, Complex.zero_re, Ne, add_eq_zero_iff_eq_neg]
exact h.ne'
· rw [Ne, ← add_eq_zero_iff_eq_neg] at h; exact h.1
by_cases hab : (0 : ℝ) ∉ [[a, b]]
· apply integral_eq_sub_of_hasDerivAt (fun x hx => ?_)
(intervalIntegrable_cpow (r := r) <| Or.inr hab)
refine hasDerivAt_ofReal_cpow (ne_of_mem_of_not_mem hx hab) ?_
contrapose! hr; rwa [add_eq_zero_iff_eq_neg]
replace h : -1 < r.re := by tauto
suffices ∀ c : ℝ, (∫ x : ℝ in (0)..c, (x : ℂ) ^ r) =
(c:ℂ) ^ (r + 1) / (r + 1) - (0:ℂ) ^ (r + 1) / (r + 1) by
rw [← integral_add_adjacent_intervals (@intervalIntegrable_cpow' a 0 r h)
(@intervalIntegrable_cpow' 0 b r h), integral_symm, this a, this b, Complex.zero_cpow hr]
ring
intro c
apply integral_eq_sub_of_hasDeriv_right
· refine ((Complex.continuous_ofReal_cpow_const ?_).div_const _).continuousOn
rwa [Complex.add_re, Complex.one_re, ← neg_lt_iff_pos_add]
· refine fun x hx => (hasDerivAt_ofReal_cpow ?_ ?_).hasDerivWithinAt
· rcases le_total c 0 with (hc | hc)
· rw [max_eq_left hc] at hx; exact hx.2.ne
· rw [min_eq_left hc] at hx; exact hx.1.ne'
· contrapose! hr; rw [hr]; ring
· exact intervalIntegrable_cpow' h
#align integral_cpow integral_cpow
theorem integral_rpow {r : ℝ} (h : -1 < r ∨ r ≠ -1 ∧ (0 : ℝ) ∉ [[a, b]]) :
∫ x in a..b, x ^ r = (b ^ (r + 1) - a ^ (r + 1)) / (r + 1) := by
have h' : -1 < (r : ℂ).re ∨ (r : ℂ) ≠ -1 ∧ (0 : ℝ) ∉ [[a, b]] := by
cases h
· left; rwa [Complex.ofReal_re]
· right; rwa [← Complex.ofReal_one, ← Complex.ofReal_neg, Ne, Complex.ofReal_inj]
have :
(∫ x in a..b, (x : ℂ) ^ (r : ℂ)) = ((b : ℂ) ^ (r + 1 : ℂ) - (a : ℂ) ^ (r + 1 : ℂ)) / (r + 1) :=
integral_cpow h'
apply_fun Complex.re at this; convert this
· simp_rw [intervalIntegral_eq_integral_uIoc, Complex.real_smul, Complex.re_ofReal_mul]
-- Porting note: was `change ... with ...`
have : Complex.re = RCLike.re := rfl
rw [this, ← integral_re]
· rfl
refine intervalIntegrable_iff.mp ?_
cases' h' with h' h'
· exact intervalIntegrable_cpow' h'
· exact intervalIntegrable_cpow (Or.inr h'.2)
· rw [(by push_cast; rfl : (r : ℂ) + 1 = ((r + 1 : ℝ) : ℂ))]
simp_rw [div_eq_inv_mul, ← Complex.ofReal_inv, Complex.re_ofReal_mul, Complex.sub_re]
rfl
#align integral_rpow integral_rpow
theorem integral_zpow {n : ℤ} (h : 0 ≤ n ∨ n ≠ -1 ∧ (0 : ℝ) ∉ [[a, b]]) :
∫ x in a..b, x ^ n = (b ^ (n + 1) - a ^ (n + 1)) / (n + 1) := by
replace h : -1 < (n : ℝ) ∨ (n : ℝ) ≠ -1 ∧ (0 : ℝ) ∉ [[a, b]] := mod_cast h
exact mod_cast integral_rpow h
#align integral_zpow integral_zpow
@[simp]
theorem integral_pow : ∫ x in a..b, x ^ n = (b ^ (n + 1) - a ^ (n + 1)) / (n + 1) := by
simpa only [← Int.ofNat_succ, zpow_natCast] using integral_zpow (Or.inl n.cast_nonneg)
#align integral_pow integral_pow
/-- Integral of `|x - a| ^ n` over `Ι a b`. This integral appears in the proof of the
Picard-Lindelöf/Cauchy-Lipschitz theorem. -/
theorem integral_pow_abs_sub_uIoc : ∫ x in Ι a b, |x - a| ^ n = |b - a| ^ (n + 1) / (n + 1) := by
rcases le_or_lt a b with hab | hab
· calc
∫ x in Ι a b, |x - a| ^ n = ∫ x in a..b, |x - a| ^ n := by
rw [uIoc_of_le hab, ← integral_of_le hab]
_ = ∫ x in (0)..(b - a), x ^ n := by
simp only [integral_comp_sub_right fun x => |x| ^ n, sub_self]
refine integral_congr fun x hx => congr_arg₂ Pow.pow (abs_of_nonneg <| ?_) rfl
rw [uIcc_of_le (sub_nonneg.2 hab)] at hx
exact hx.1
_ = |b - a| ^ (n + 1) / (n + 1) := by simp [abs_of_nonneg (sub_nonneg.2 hab)]
· calc
∫ x in Ι a b, |x - a| ^ n = ∫ x in b..a, |x - a| ^ n := by
rw [uIoc_of_lt hab, ← integral_of_le hab.le]
_ = ∫ x in b - a..0, (-x) ^ n := by
simp only [integral_comp_sub_right fun x => |x| ^ n, sub_self]
refine integral_congr fun x hx => congr_arg₂ Pow.pow (abs_of_nonpos <| ?_) rfl
rw [uIcc_of_le (sub_nonpos.2 hab.le)] at hx
exact hx.2
_ = |b - a| ^ (n + 1) / (n + 1) := by
simp [integral_comp_neg fun x => x ^ n, abs_of_neg (sub_neg.2 hab)]
#align integral_pow_abs_sub_uIoc integral_pow_abs_sub_uIoc
@[simp]
theorem integral_id : ∫ x in a..b, x = (b ^ 2 - a ^ 2) / 2 := by
have := @integral_pow a b 1
norm_num at this
exact this
#align integral_id integral_id
-- @[simp] -- Porting note (#10618): simp can prove this
theorem integral_one : (∫ _ in a..b, (1 : ℝ)) = b - a := by
simp only [mul_one, smul_eq_mul, integral_const]
#align integral_one integral_one
theorem integral_const_on_unit_interval : ∫ _ in a..a + 1, b = b := by simp
#align integral_const_on_unit_interval integral_const_on_unit_interval
@[simp]
theorem integral_inv (h : (0 : ℝ) ∉ [[a, b]]) : ∫ x in a..b, x⁻¹ = log (b / a) := by
have h' := fun x (hx : x ∈ [[a, b]]) => ne_of_mem_of_not_mem hx h
rw [integral_deriv_eq_sub' _ deriv_log' (fun x hx => differentiableAt_log (h' x hx))
(continuousOn_inv₀.mono <| subset_compl_singleton_iff.mpr h),
log_div (h' b right_mem_uIcc) (h' a left_mem_uIcc)]
#align integral_inv integral_inv
@[simp]
theorem integral_inv_of_pos (ha : 0 < a) (hb : 0 < b) : ∫ x in a..b, x⁻¹ = log (b / a) :=
integral_inv <| not_mem_uIcc_of_lt ha hb
#align integral_inv_of_pos integral_inv_of_pos
@[simp]
theorem integral_inv_of_neg (ha : a < 0) (hb : b < 0) : ∫ x in a..b, x⁻¹ = log (b / a) :=
integral_inv <| not_mem_uIcc_of_gt ha hb
#align integral_inv_of_neg integral_inv_of_neg
theorem integral_one_div (h : (0 : ℝ) ∉ [[a, b]]) : ∫ x : ℝ in a..b, 1 / x = log (b / a) := by
simp only [one_div, integral_inv h]
#align integral_one_div integral_one_div
theorem integral_one_div_of_pos (ha : 0 < a) (hb : 0 < b) :
∫ x : ℝ in a..b, 1 / x = log (b / a) := by simp only [one_div, integral_inv_of_pos ha hb]
#align integral_one_div_of_pos integral_one_div_of_pos
theorem integral_one_div_of_neg (ha : a < 0) (hb : b < 0) :
∫ x : ℝ in a..b, 1 / x = log (b / a) := by simp only [one_div, integral_inv_of_neg ha hb]
#align integral_one_div_of_neg integral_one_div_of_neg
@[simp]
theorem integral_exp : ∫ x in a..b, exp x = exp b - exp a := by
rw [integral_deriv_eq_sub']
· simp
· exact fun _ _ => differentiableAt_exp
· exact continuousOn_exp
#align integral_exp integral_exp
theorem integral_exp_mul_complex {c : ℂ} (hc : c ≠ 0) :
(∫ x in a..b, Complex.exp (c * x)) = (Complex.exp (c * b) - Complex.exp (c * a)) / c := by
have D : ∀ x : ℝ, HasDerivAt (fun y : ℝ => Complex.exp (c * y) / c) (Complex.exp (c * x)) x := by
intro x
conv => congr
rw [← mul_div_cancel_right₀ (Complex.exp (c * x)) hc]
apply ((Complex.hasDerivAt_exp _).comp x _).div_const c
simpa only [mul_one] using ((hasDerivAt_id (x : ℂ)).const_mul _).comp_ofReal
rw [integral_deriv_eq_sub' _ (funext fun x => (D x).deriv) fun x _ => (D x).differentiableAt]
· ring
· apply Continuous.continuousOn; continuity
#align integral_exp_mul_complex integral_exp_mul_complex
@[simp]
theorem integral_log (h : (0 : ℝ) ∉ [[a, b]]) :
∫ x in a..b, log x = b * log b - a * log a - b + a := by
have h' := fun x (hx : x ∈ [[a, b]]) => ne_of_mem_of_not_mem hx h
have heq := fun x hx => mul_inv_cancel (h' x hx)
convert integral_mul_deriv_eq_deriv_mul (fun x hx => hasDerivAt_log (h' x hx))
(fun x _ => hasDerivAt_id x) (continuousOn_inv₀.mono <|
subset_compl_singleton_iff.mpr h).intervalIntegrable
continuousOn_const.intervalIntegrable using 1 <;>
simp [integral_congr heq, mul_comm, ← sub_add]
#align integral_log integral_log
@[simp]
theorem integral_log_of_pos (ha : 0 < a) (hb : 0 < b) :
∫ x in a..b, log x = b * log b - a * log a - b + a :=
integral_log <| not_mem_uIcc_of_lt ha hb
#align integral_log_of_pos integral_log_of_pos
@[simp]
theorem integral_log_of_neg (ha : a < 0) (hb : b < 0) :
∫ x in a..b, log x = b * log b - a * log a - b + a :=
integral_log <| not_mem_uIcc_of_gt ha hb
#align integral_log_of_neg integral_log_of_neg
@[simp]
theorem integral_sin : ∫ x in a..b, sin x = cos a - cos b := by
rw [integral_deriv_eq_sub' fun x => -cos x]
· ring
· norm_num
· simp only [differentiableAt_neg_iff, differentiableAt_cos, implies_true]
· exact continuousOn_sin
#align integral_sin integral_sin
@[simp]
| Mathlib/Analysis/SpecialFunctions/Integrals.lean | 540 | 544 | theorem integral_cos : ∫ x in a..b, cos x = sin b - sin a := by |
rw [integral_deriv_eq_sub']
· norm_num
· simp only [differentiableAt_sin, implies_true]
· exact continuousOn_cos
|
/-
Copyright (c) 2020 Frédéric Dupuis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Frédéric Dupuis
-/
import Mathlib.Analysis.Convex.Function
import Mathlib.Topology.Algebra.Affine
import Mathlib.Topology.MetricSpace.PseudoMetric
import Mathlib.Topology.Order.LocalExtr
#align_import analysis.convex.extrema from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# Minima and maxima of convex functions
We show that if a function `f : E → β` is convex, then a local minimum is also
a global minimum, and likewise for concave functions.
-/
variable {E β : Type*} [AddCommGroup E] [TopologicalSpace E] [Module ℝ E] [TopologicalAddGroup E]
[ContinuousSMul ℝ E] [OrderedAddCommGroup β] [Module ℝ β] [OrderedSMul ℝ β] {s : Set E}
open Set Filter Function
open scoped Classical
open Topology
/-- Helper lemma for the more general case: `IsMinOn.of_isLocalMinOn_of_convexOn`.
-/
theorem IsMinOn.of_isLocalMinOn_of_convexOn_Icc {f : ℝ → β} {a b : ℝ} (a_lt_b : a < b)
(h_local_min : IsLocalMinOn f (Icc a b) a) (h_conv : ConvexOn ℝ (Icc a b) f) :
IsMinOn f (Icc a b) a := by
rintro c hc
dsimp only [mem_setOf_eq]
rw [IsLocalMinOn, nhdsWithin_Icc_eq_nhdsWithin_Ici a_lt_b] at h_local_min
rcases hc.1.eq_or_lt with (rfl | a_lt_c)
· exact le_rfl
have H₁ : ∀ᶠ y in 𝓝[>] a, f a ≤ f y :=
h_local_min.filter_mono (nhdsWithin_mono _ Ioi_subset_Ici_self)
have H₂ : ∀ᶠ y in 𝓝[>] a, y ∈ Ioc a c := Ioc_mem_nhdsWithin_Ioi (left_mem_Ico.2 a_lt_c)
rcases (H₁.and H₂).exists with ⟨y, hfy, hy_ac⟩
rcases (Convex.mem_Ioc a_lt_c).mp hy_ac with ⟨ya, yc, ya₀, yc₀, yac, rfl⟩
suffices ya • f a + yc • f a ≤ ya • f a + yc • f c from
(smul_le_smul_iff_of_pos_left yc₀).1 (le_of_add_le_add_left this)
calc
ya • f a + yc • f a = f a := by rw [← add_smul, yac, one_smul]
_ ≤ f (ya * a + yc * c) := hfy
_ ≤ ya • f a + yc • f c := h_conv.2 (left_mem_Icc.2 a_lt_b.le) hc ya₀ yc₀.le yac
#align is_min_on.of_is_local_min_on_of_convex_on_Icc IsMinOn.of_isLocalMinOn_of_convexOn_Icc
/-- A local minimum of a convex function is a global minimum, restricted to a set `s`.
-/
| Mathlib/Analysis/Convex/Extrema.lean | 54 | 69 | theorem IsMinOn.of_isLocalMinOn_of_convexOn {f : E → β} {a : E} (a_in_s : a ∈ s)
(h_localmin : IsLocalMinOn f s a) (h_conv : ConvexOn ℝ s f) : IsMinOn f s a := by |
intro x x_in_s
let g : ℝ →ᵃ[ℝ] E := AffineMap.lineMap a x
have hg0 : g 0 = a := AffineMap.lineMap_apply_zero a x
have hg1 : g 1 = x := AffineMap.lineMap_apply_one a x
have hgc : Continuous g := AffineMap.lineMap_continuous
have h_maps : MapsTo g (Icc 0 1) s := by
simpa only [g, mapsTo', ← segment_eq_image_lineMap] using h_conv.1.segment_subset a_in_s x_in_s
have fg_local_min_on : IsLocalMinOn (f ∘ g) (Icc 0 1) 0 := by
rw [← hg0] at h_localmin
exact h_localmin.comp_continuousOn h_maps hgc.continuousOn (left_mem_Icc.2 zero_le_one)
have fg_min_on : IsMinOn (f ∘ g) (Icc 0 1 : Set ℝ) 0 := by
refine IsMinOn.of_isLocalMinOn_of_convexOn_Icc one_pos fg_local_min_on ?_
exact (h_conv.comp_affineMap g).subset h_maps (convex_Icc 0 1)
simpa only [hg0, hg1, comp_apply, mem_setOf_eq] using fg_min_on (right_mem_Icc.2 zero_le_one)
|
/-
Copyright (c) 2021 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Data.Matrix.Basis
import Mathlib.Data.Matrix.DMatrix
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
import Mathlib.LinearAlgebra.Matrix.Reindex
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.matrix.transvection from "leanprover-community/mathlib"@"0e2aab2b0d521f060f62a14d2cf2e2c54e8491d6"
/-!
# Transvections
Transvections are matrices of the form `1 + StdBasisMatrix i j c`, where `StdBasisMatrix i j c`
is the basic matrix with a `c` at position `(i, j)`. Multiplying by such a transvection on the left
(resp. on the right) amounts to adding `c` times the `j`-th row to the `i`-th row
(resp `c` times the `i`-th column to the `j`-th column). Therefore, they are useful to present
algorithms operating on rows and columns.
Transvections are a special case of *elementary matrices* (according to most references, these also
contain the matrices exchanging rows, and the matrices multiplying a row by a constant).
We show that, over a field, any matrix can be written as `L * D * L'`, where `L` and `L'` are
products of transvections and `D` is diagonal. In other words, one can reduce a matrix to diagonal
form by operations on its rows and columns, a variant of Gauss' pivot algorithm.
## Main definitions and results
* `Transvection i j c` is the matrix equal to `1 + StdBasisMatrix i j c`.
* `TransvectionStruct n R` is a structure containing the data of `i, j, c` and a proof that
`i ≠ j`. These are often easier to manipulate than straight matrices, especially in inductive
arguments.
* `exists_list_transvec_mul_diagonal_mul_list_transvec` states that any matrix `M` over a field can
be written in the form `t_1 * ... * t_k * D * t'_1 * ... * t'_l`, where `D` is diagonal and
the `t_i`, `t'_j` are transvections.
* `diagonal_transvection_induction` shows that a property which is true for diagonal matrices and
transvections, and invariant under product, is true for all matrices.
* `diagonal_transvection_induction_of_det_ne_zero` is the same statement over invertible matrices.
## Implementation details
The proof of the reduction results is done inductively on the size of the matrices, reducing an
`(r + 1) × (r + 1)` matrix to a matrix whose last row and column are zeroes, except possibly for
the last diagonal entry. This step is done as follows.
If all the coefficients on the last row and column are zero, there is nothing to do. Otherwise,
one can put a nonzero coefficient in the last diagonal entry by a row or column operation, and then
subtract this last diagonal entry from the other entries in the last row and column to make them
vanish.
This step is done in the type `Fin r ⊕ Unit`, where `Fin r` is useful to choose arbitrarily some
order in which we cancel the coefficients, and the sum structure is useful to use the formalism of
block matrices.
To proceed with the induction, we reindex our matrices to reduce to the above situation.
-/
universe u₁ u₂
namespace Matrix
open Matrix
variable (n p : Type*) (R : Type u₂) {𝕜 : Type*} [Field 𝕜]
variable [DecidableEq n] [DecidableEq p]
variable [CommRing R]
section Transvection
variable {R n} (i j : n)
/-- The transvection matrix `Transvection i j c` is equal to the identity plus `c` at position
`(i, j)`. Multiplying by it on the left (as in `Transvection i j c * M`) corresponds to adding
`c` times the `j`-th line of `M` to its `i`-th line. Multiplying by it on the right corresponds
to adding `c` times the `i`-th column to the `j`-th column. -/
def transvection (c : R) : Matrix n n R :=
1 + Matrix.stdBasisMatrix i j c
#align matrix.transvection Matrix.transvection
@[simp]
theorem transvection_zero : transvection i j (0 : R) = 1 := by simp [transvection]
#align matrix.transvection_zero Matrix.transvection_zero
section
/-- A transvection matrix is obtained from the identity by adding `c` times the `j`-th row to
the `i`-th row. -/
theorem updateRow_eq_transvection [Finite n] (c : R) :
updateRow (1 : Matrix n n R) i ((1 : Matrix n n R) i + c • (1 : Matrix n n R) j) =
transvection i j c := by
cases nonempty_fintype n
ext a b
by_cases ha : i = a
· by_cases hb : j = b
· simp only [updateRow_self, transvection, ha, hb, Pi.add_apply, StdBasisMatrix.apply_same,
one_apply_eq, Pi.smul_apply, mul_one, Algebra.id.smul_eq_mul, add_apply]
· simp only [updateRow_self, transvection, ha, hb, StdBasisMatrix.apply_of_ne, Pi.add_apply,
Ne, not_false_iff, Pi.smul_apply, and_false_iff, one_apply_ne, Algebra.id.smul_eq_mul,
mul_zero, add_apply]
· simp only [updateRow_ne, transvection, ha, Ne.symm ha, StdBasisMatrix.apply_of_ne, add_zero,
Algebra.id.smul_eq_mul, Ne, not_false_iff, DMatrix.add_apply, Pi.smul_apply,
mul_zero, false_and_iff, add_apply]
#align matrix.update_row_eq_transvection Matrix.updateRow_eq_transvection
variable [Fintype n]
| Mathlib/LinearAlgebra/Matrix/Transvection.lean | 113 | 116 | theorem transvection_mul_transvection_same (h : i ≠ j) (c d : R) :
transvection i j c * transvection i j d = transvection i j (c + d) := by |
simp [transvection, Matrix.add_mul, Matrix.mul_add, h, h.symm, add_smul, add_assoc,
stdBasisMatrix_add]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Kevin Buzzard, Yury Kudryashov, Eric Wieser
-/
import Mathlib.Algebra.Algebra.Prod
import Mathlib.LinearAlgebra.Basic
import Mathlib.LinearAlgebra.Span
import Mathlib.Order.PartialSups
#align_import linear_algebra.prod from "leanprover-community/mathlib"@"cd391184c85986113f8c00844cfe6dda1d34be3d"
/-! ### Products of modules
This file defines constructors for linear maps whose domains or codomains are products.
It contains theorems relating these to each other, as well as to `Submodule.prod`, `Submodule.map`,
`Submodule.comap`, `LinearMap.range`, and `LinearMap.ker`.
## Main definitions
- products in the domain:
- `LinearMap.fst`
- `LinearMap.snd`
- `LinearMap.coprod`
- `LinearMap.prod_ext`
- products in the codomain:
- `LinearMap.inl`
- `LinearMap.inr`
- `LinearMap.prod`
- products in both domain and codomain:
- `LinearMap.prodMap`
- `LinearEquiv.prodMap`
- `LinearEquiv.skewProd`
-/
universe u v w x y z u' v' w' 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}
variable {M₅ M₆ : Type*}
section Prod
namespace LinearMap
variable (S : Type*) [Semiring R] [Semiring S]
variable [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃] [AddCommMonoid M₄]
variable [AddCommMonoid M₅] [AddCommMonoid M₆]
variable [Module R M] [Module R M₂] [Module R M₃] [Module R M₄]
variable [Module R M₅] [Module R M₆]
variable (f : M →ₗ[R] M₂)
section
variable (R M M₂)
/-- The first projection of a product is a linear map. -/
def fst : M × M₂ →ₗ[R] M where
toFun := Prod.fst
map_add' _x _y := rfl
map_smul' _x _y := rfl
#align linear_map.fst LinearMap.fst
/-- The second projection of a product is a linear map. -/
def snd : M × M₂ →ₗ[R] M₂ where
toFun := Prod.snd
map_add' _x _y := rfl
map_smul' _x _y := rfl
#align linear_map.snd LinearMap.snd
end
@[simp]
theorem fst_apply (x : M × M₂) : fst R M M₂ x = x.1 :=
rfl
#align linear_map.fst_apply LinearMap.fst_apply
@[simp]
theorem snd_apply (x : M × M₂) : snd R M M₂ x = x.2 :=
rfl
#align linear_map.snd_apply LinearMap.snd_apply
theorem fst_surjective : Function.Surjective (fst R M M₂) := fun x => ⟨(x, 0), rfl⟩
#align linear_map.fst_surjective LinearMap.fst_surjective
theorem snd_surjective : Function.Surjective (snd R M M₂) := fun x => ⟨(0, x), rfl⟩
#align linear_map.snd_surjective LinearMap.snd_surjective
/-- The prod of two linear maps is a linear map. -/
@[simps]
def prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : M →ₗ[R] M₂ × M₃ where
toFun := Pi.prod f g
map_add' x y := by simp only [Pi.prod, Prod.mk_add_mk, map_add]
map_smul' c x := by simp only [Pi.prod, Prod.smul_mk, map_smul, RingHom.id_apply]
#align linear_map.prod LinearMap.prod
theorem coe_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : ⇑(f.prod g) = Pi.prod f g :=
rfl
#align linear_map.coe_prod LinearMap.coe_prod
@[simp]
theorem fst_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : (fst R M₂ M₃).comp (prod f g) = f := rfl
#align linear_map.fst_prod LinearMap.fst_prod
@[simp]
theorem snd_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : (snd R M₂ M₃).comp (prod f g) = g := rfl
#align linear_map.snd_prod LinearMap.snd_prod
@[simp]
theorem pair_fst_snd : prod (fst R M M₂) (snd R M M₂) = LinearMap.id := rfl
#align linear_map.pair_fst_snd LinearMap.pair_fst_snd
theorem prod_comp (f : M₂ →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄)
(h : M →ₗ[R] M₂) : (f.prod g).comp h = (f.comp h).prod (g.comp h) :=
rfl
/-- Taking the product of two maps with the same domain is equivalent to taking the product of
their codomains.
See note [bundled maps over different rings] for why separate `R` and `S` semirings are used. -/
@[simps]
def prodEquiv [Module S M₂] [Module S M₃] [SMulCommClass R S M₂] [SMulCommClass R S M₃] :
((M →ₗ[R] M₂) × (M →ₗ[R] M₃)) ≃ₗ[S] M →ₗ[R] M₂ × M₃ where
toFun f := f.1.prod f.2
invFun f := ((fst _ _ _).comp f, (snd _ _ _).comp f)
left_inv f := by ext <;> rfl
right_inv f := by ext <;> rfl
map_add' a b := rfl
map_smul' r a := rfl
#align linear_map.prod_equiv LinearMap.prodEquiv
section
variable (R M M₂)
/-- The left injection into a product is a linear map. -/
def inl : M →ₗ[R] M × M₂ :=
prod LinearMap.id 0
#align linear_map.inl LinearMap.inl
/-- The right injection into a product is a linear map. -/
def inr : M₂ →ₗ[R] M × M₂ :=
prod 0 LinearMap.id
#align linear_map.inr LinearMap.inr
theorem range_inl : range (inl R M M₂) = ker (snd R M M₂) := by
ext x
simp only [mem_ker, mem_range]
constructor
· rintro ⟨y, rfl⟩
rfl
· intro h
exact ⟨x.fst, Prod.ext rfl h.symm⟩
#align linear_map.range_inl LinearMap.range_inl
theorem ker_snd : ker (snd R M M₂) = range (inl R M M₂) :=
Eq.symm <| range_inl R M M₂
#align linear_map.ker_snd LinearMap.ker_snd
theorem range_inr : range (inr R M M₂) = ker (fst R M M₂) := by
ext x
simp only [mem_ker, mem_range]
constructor
· rintro ⟨y, rfl⟩
rfl
· intro h
exact ⟨x.snd, Prod.ext h.symm rfl⟩
#align linear_map.range_inr LinearMap.range_inr
theorem ker_fst : ker (fst R M M₂) = range (inr R M M₂) :=
Eq.symm <| range_inr R M M₂
#align linear_map.ker_fst LinearMap.ker_fst
@[simp] theorem fst_comp_inl : fst R M M₂ ∘ₗ inl R M M₂ = id := rfl
@[simp] theorem snd_comp_inl : snd R M M₂ ∘ₗ inl R M M₂ = 0 := rfl
@[simp] theorem fst_comp_inr : fst R M M₂ ∘ₗ inr R M M₂ = 0 := rfl
@[simp] theorem snd_comp_inr : snd R M M₂ ∘ₗ inr R M M₂ = id := rfl
end
@[simp]
theorem coe_inl : (inl R M M₂ : M → M × M₂) = fun x => (x, 0) :=
rfl
#align linear_map.coe_inl LinearMap.coe_inl
theorem inl_apply (x : M) : inl R M M₂ x = (x, 0) :=
rfl
#align linear_map.inl_apply LinearMap.inl_apply
@[simp]
theorem coe_inr : (inr R M M₂ : M₂ → M × M₂) = Prod.mk 0 :=
rfl
#align linear_map.coe_inr LinearMap.coe_inr
theorem inr_apply (x : M₂) : inr R M M₂ x = (0, x) :=
rfl
#align linear_map.inr_apply LinearMap.inr_apply
theorem inl_eq_prod : inl R M M₂ = prod LinearMap.id 0 :=
rfl
#align linear_map.inl_eq_prod LinearMap.inl_eq_prod
theorem inr_eq_prod : inr R M M₂ = prod 0 LinearMap.id :=
rfl
#align linear_map.inr_eq_prod LinearMap.inr_eq_prod
theorem inl_injective : Function.Injective (inl R M M₂) := fun _ => by simp
#align linear_map.inl_injective LinearMap.inl_injective
theorem inr_injective : Function.Injective (inr R M M₂) := fun _ => by simp
#align linear_map.inr_injective LinearMap.inr_injective
/-- The coprod function `x : M × M₂ ↦ f x.1 + g x.2` is a linear map. -/
def coprod (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) : M × M₂ →ₗ[R] M₃ :=
f.comp (fst _ _ _) + g.comp (snd _ _ _)
#align linear_map.coprod LinearMap.coprod
@[simp]
theorem coprod_apply (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) (x : M × M₂) :
coprod f g x = f x.1 + g x.2 :=
rfl
#align linear_map.coprod_apply LinearMap.coprod_apply
@[simp]
theorem coprod_inl (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) : (coprod f g).comp (inl R M M₂) = f := by
ext; simp only [map_zero, add_zero, coprod_apply, inl_apply, comp_apply]
#align linear_map.coprod_inl LinearMap.coprod_inl
@[simp]
theorem coprod_inr (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) : (coprod f g).comp (inr R M M₂) = g := by
ext; simp only [map_zero, coprod_apply, inr_apply, zero_add, comp_apply]
#align linear_map.coprod_inr LinearMap.coprod_inr
@[simp]
theorem coprod_inl_inr : coprod (inl R M M₂) (inr R M M₂) = LinearMap.id := by
ext <;>
simp only [Prod.mk_add_mk, add_zero, id_apply, coprod_apply, inl_apply, inr_apply, zero_add]
#align linear_map.coprod_inl_inr LinearMap.coprod_inl_inr
theorem coprod_zero_left (g : M₂ →ₗ[R] M₃) : (0 : M →ₗ[R] M₃).coprod g = g.comp (snd R M M₂) :=
zero_add _
theorem coprod_zero_right (f : M →ₗ[R] M₃) : f.coprod (0 : M₂ →ₗ[R] M₃) = f.comp (fst R M M₂) :=
add_zero _
theorem comp_coprod (f : M₃ →ₗ[R] M₄) (g₁ : M →ₗ[R] M₃) (g₂ : M₂ →ₗ[R] M₃) :
f.comp (g₁.coprod g₂) = (f.comp g₁).coprod (f.comp g₂) :=
ext fun x => f.map_add (g₁ x.1) (g₂ x.2)
#align linear_map.comp_coprod LinearMap.comp_coprod
theorem fst_eq_coprod : fst R M M₂ = coprod LinearMap.id 0 := by ext; simp
#align linear_map.fst_eq_coprod LinearMap.fst_eq_coprod
theorem snd_eq_coprod : snd R M M₂ = coprod 0 LinearMap.id := by ext; simp
#align linear_map.snd_eq_coprod LinearMap.snd_eq_coprod
@[simp]
theorem coprod_comp_prod (f : M₂ →ₗ[R] M₄) (g : M₃ →ₗ[R] M₄) (f' : M →ₗ[R] M₂) (g' : M →ₗ[R] M₃) :
(f.coprod g).comp (f'.prod g') = f.comp f' + g.comp g' :=
rfl
#align linear_map.coprod_comp_prod LinearMap.coprod_comp_prod
@[simp]
theorem coprod_map_prod (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) (S : Submodule R M)
(S' : Submodule R M₂) : (Submodule.prod S S').map (LinearMap.coprod f g) = S.map f ⊔ S'.map g :=
SetLike.coe_injective <| by
simp only [LinearMap.coprod_apply, Submodule.coe_sup, Submodule.map_coe]
rw [← Set.image2_add, Set.image2_image_left, Set.image2_image_right]
exact Set.image_prod fun m m₂ => f m + g m₂
#align linear_map.coprod_map_prod LinearMap.coprod_map_prod
/-- Taking the product of two maps with the same codomain is equivalent to taking the product of
their domains.
See note [bundled maps over different rings] for why separate `R` and `S` semirings are used. -/
@[simps]
def coprodEquiv [Module S M₃] [SMulCommClass R S M₃] :
((M →ₗ[R] M₃) × (M₂ →ₗ[R] M₃)) ≃ₗ[S] M × M₂ →ₗ[R] M₃ where
toFun f := f.1.coprod f.2
invFun f := (f.comp (inl _ _ _), f.comp (inr _ _ _))
left_inv f := by simp only [coprod_inl, coprod_inr]
right_inv f := by simp only [← comp_coprod, comp_id, coprod_inl_inr]
map_add' a b := by
ext
simp only [Prod.snd_add, add_apply, coprod_apply, Prod.fst_add, add_add_add_comm]
map_smul' r a := by
dsimp
ext
simp only [smul_add, smul_apply, Prod.smul_snd, Prod.smul_fst, coprod_apply]
#align linear_map.coprod_equiv LinearMap.coprodEquiv
theorem prod_ext_iff {f g : M × M₂ →ₗ[R] M₃} :
f = g ↔ f.comp (inl _ _ _) = g.comp (inl _ _ _) ∧ f.comp (inr _ _ _) = g.comp (inr _ _ _) :=
(coprodEquiv ℕ).symm.injective.eq_iff.symm.trans Prod.ext_iff
#align linear_map.prod_ext_iff LinearMap.prod_ext_iff
/--
Split equality of linear maps from a product into linear maps over each component, to allow `ext`
to apply lemmas specific to `M →ₗ M₃` and `M₂ →ₗ M₃`.
See note [partially-applied ext lemmas]. -/
@[ext 1100]
theorem prod_ext {f g : M × M₂ →ₗ[R] M₃} (hl : f.comp (inl _ _ _) = g.comp (inl _ _ _))
(hr : f.comp (inr _ _ _) = g.comp (inr _ _ _)) : f = g :=
prod_ext_iff.2 ⟨hl, hr⟩
#align linear_map.prod_ext LinearMap.prod_ext
/-- `prod.map` of two linear maps. -/
def prodMap (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄) : M × M₂ →ₗ[R] M₃ × M₄ :=
(f.comp (fst R M M₂)).prod (g.comp (snd R M M₂))
#align linear_map.prod_map LinearMap.prodMap
theorem coe_prodMap (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄) : ⇑(f.prodMap g) = Prod.map f g :=
rfl
#align linear_map.coe_prod_map LinearMap.coe_prodMap
@[simp]
theorem prodMap_apply (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄) (x) : f.prodMap g x = (f x.1, g x.2) :=
rfl
#align linear_map.prod_map_apply LinearMap.prodMap_apply
theorem prodMap_comap_prod (f : M →ₗ[R] M₂) (g : M₃ →ₗ[R] M₄) (S : Submodule R M₂)
(S' : Submodule R M₄) :
(Submodule.prod S S').comap (LinearMap.prodMap f g) = (S.comap f).prod (S'.comap g) :=
SetLike.coe_injective <| Set.preimage_prod_map_prod f g _ _
#align linear_map.prod_map_comap_prod LinearMap.prodMap_comap_prod
theorem ker_prodMap (f : M →ₗ[R] M₂) (g : M₃ →ₗ[R] M₄) :
ker (LinearMap.prodMap f g) = Submodule.prod (ker f) (ker g) := by
dsimp only [ker]
rw [← prodMap_comap_prod, Submodule.prod_bot]
#align linear_map.ker_prod_map LinearMap.ker_prodMap
@[simp]
theorem prodMap_id : (id : M →ₗ[R] M).prodMap (id : M₂ →ₗ[R] M₂) = id :=
rfl
#align linear_map.prod_map_id LinearMap.prodMap_id
@[simp]
theorem prodMap_one : (1 : M →ₗ[R] M).prodMap (1 : M₂ →ₗ[R] M₂) = 1 :=
rfl
#align linear_map.prod_map_one LinearMap.prodMap_one
theorem prodMap_comp (f₁₂ : M →ₗ[R] M₂) (f₂₃ : M₂ →ₗ[R] M₃) (g₁₂ : M₄ →ₗ[R] M₅)
(g₂₃ : M₅ →ₗ[R] M₆) :
f₂₃.prodMap g₂₃ ∘ₗ f₁₂.prodMap g₁₂ = (f₂₃ ∘ₗ f₁₂).prodMap (g₂₃ ∘ₗ g₁₂) :=
rfl
#align linear_map.prod_map_comp LinearMap.prodMap_comp
theorem prodMap_mul (f₁₂ : M →ₗ[R] M) (f₂₃ : M →ₗ[R] M) (g₁₂ : M₂ →ₗ[R] M₂) (g₂₃ : M₂ →ₗ[R] M₂) :
f₂₃.prodMap g₂₃ * f₁₂.prodMap g₁₂ = (f₂₃ * f₁₂).prodMap (g₂₃ * g₁₂) :=
rfl
#align linear_map.prod_map_mul LinearMap.prodMap_mul
theorem prodMap_add (f₁ : M →ₗ[R] M₃) (f₂ : M →ₗ[R] M₃) (g₁ : M₂ →ₗ[R] M₄) (g₂ : M₂ →ₗ[R] M₄) :
(f₁ + f₂).prodMap (g₁ + g₂) = f₁.prodMap g₁ + f₂.prodMap g₂ :=
rfl
#align linear_map.prod_map_add LinearMap.prodMap_add
@[simp]
theorem prodMap_zero : (0 : M →ₗ[R] M₂).prodMap (0 : M₃ →ₗ[R] M₄) = 0 :=
rfl
#align linear_map.prod_map_zero LinearMap.prodMap_zero
@[simp]
theorem prodMap_smul [Module S M₃] [Module S M₄] [SMulCommClass R S M₃] [SMulCommClass R S M₄]
(s : S) (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄) : prodMap (s • f) (s • g) = s • prodMap f g :=
rfl
#align linear_map.prod_map_smul LinearMap.prodMap_smul
variable (R M M₂ M₃ M₄)
/-- `LinearMap.prodMap` as a `LinearMap` -/
@[simps]
def prodMapLinear [Module S M₃] [Module S M₄] [SMulCommClass R S M₃] [SMulCommClass R S M₄] :
(M →ₗ[R] M₃) × (M₂ →ₗ[R] M₄) →ₗ[S] M × M₂ →ₗ[R] M₃ × M₄ where
toFun f := prodMap f.1 f.2
map_add' _ _ := rfl
map_smul' _ _ := rfl
#align linear_map.prod_map_linear LinearMap.prodMapLinear
/-- `LinearMap.prodMap` as a `RingHom` -/
@[simps]
def prodMapRingHom : (M →ₗ[R] M) × (M₂ →ₗ[R] M₂) →+* M × M₂ →ₗ[R] M × M₂ where
toFun f := prodMap f.1 f.2
map_one' := prodMap_one
map_zero' := rfl
map_add' _ _ := rfl
map_mul' _ _ := rfl
#align linear_map.prod_map_ring_hom LinearMap.prodMapRingHom
variable {R M M₂ M₃ M₄}
section map_mul
variable {A : Type*} [NonUnitalNonAssocSemiring A] [Module R A]
variable {B : Type*} [NonUnitalNonAssocSemiring B] [Module R B]
theorem inl_map_mul (a₁ a₂ : A) :
LinearMap.inl R A B (a₁ * a₂) = LinearMap.inl R A B a₁ * LinearMap.inl R A B a₂ :=
Prod.ext rfl (by simp)
#align linear_map.inl_map_mul LinearMap.inl_map_mul
theorem inr_map_mul (b₁ b₂ : B) :
LinearMap.inr R A B (b₁ * b₂) = LinearMap.inr R A B b₁ * LinearMap.inr R A B b₂ :=
Prod.ext (by simp) rfl
#align linear_map.inr_map_mul LinearMap.inr_map_mul
end map_mul
end LinearMap
end Prod
namespace LinearMap
variable (R M M₂)
variable [CommSemiring R]
variable [AddCommMonoid M] [AddCommMonoid M₂]
variable [Module R M] [Module R M₂]
/-- `LinearMap.prodMap` as an `AlgHom` -/
@[simps!]
def prodMapAlgHom : Module.End R M × Module.End R M₂ →ₐ[R] Module.End R (M × M₂) :=
{ prodMapRingHom R M M₂ with commutes' := fun _ => rfl }
#align linear_map.prod_map_alg_hom LinearMap.prodMapAlgHom
end LinearMap
namespace LinearMap
open Submodule
variable [Semiring R] [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃] [AddCommMonoid M₄]
[Module R M] [Module R M₂] [Module R M₃] [Module R M₄]
theorem range_coprod (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) : range (f.coprod g) = range f ⊔ range g :=
Submodule.ext fun x => by simp [mem_sup]
#align linear_map.range_coprod LinearMap.range_coprod
theorem isCompl_range_inl_inr : IsCompl (range <| inl R M M₂) (range <| inr R M M₂) := by
constructor
· rw [disjoint_def]
rintro ⟨_, _⟩ ⟨x, hx⟩ ⟨y, hy⟩
simp only [Prod.ext_iff, inl_apply, inr_apply, mem_bot] at hx hy ⊢
exact ⟨hy.1.symm, hx.2.symm⟩
· rw [codisjoint_iff_le_sup]
rintro ⟨x, y⟩ -
simp only [mem_sup, mem_range, exists_prop]
refine ⟨(x, 0), ⟨x, rfl⟩, (0, y), ⟨y, rfl⟩, ?_⟩
simp
#align linear_map.is_compl_range_inl_inr LinearMap.isCompl_range_inl_inr
theorem sup_range_inl_inr : (range <| inl R M M₂) ⊔ (range <| inr R M M₂) = ⊤ :=
IsCompl.sup_eq_top isCompl_range_inl_inr
#align linear_map.sup_range_inl_inr LinearMap.sup_range_inl_inr
theorem disjoint_inl_inr : Disjoint (range <| inl R M M₂) (range <| inr R M M₂) := by
simp (config := { contextual := true }) [disjoint_def, @eq_comm M 0, @eq_comm M₂ 0]
#align linear_map.disjoint_inl_inr LinearMap.disjoint_inl_inr
theorem map_coprod_prod (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) (p : Submodule R M)
(q : Submodule R M₂) : map (coprod f g) (p.prod q) = map f p ⊔ map g q := by
refine le_antisymm ?_ (sup_le (map_le_iff_le_comap.2 ?_) (map_le_iff_le_comap.2 ?_))
· rw [SetLike.le_def]
rintro _ ⟨x, ⟨h₁, h₂⟩, rfl⟩
exact mem_sup.2 ⟨_, ⟨_, h₁, rfl⟩, _, ⟨_, h₂, rfl⟩, rfl⟩
· exact fun x hx => ⟨(x, 0), by simp [hx]⟩
· exact fun x hx => ⟨(0, x), by simp [hx]⟩
#align linear_map.map_coprod_prod LinearMap.map_coprod_prod
theorem comap_prod_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) (p : Submodule R M₂)
(q : Submodule R M₃) : comap (prod f g) (p.prod q) = comap f p ⊓ comap g q :=
Submodule.ext fun _x => Iff.rfl
#align linear_map.comap_prod_prod LinearMap.comap_prod_prod
theorem prod_eq_inf_comap (p : Submodule R M) (q : Submodule R M₂) :
p.prod q = p.comap (LinearMap.fst R M M₂) ⊓ q.comap (LinearMap.snd R M M₂) :=
Submodule.ext fun _x => Iff.rfl
#align linear_map.prod_eq_inf_comap LinearMap.prod_eq_inf_comap
theorem prod_eq_sup_map (p : Submodule R M) (q : Submodule R M₂) :
p.prod q = p.map (LinearMap.inl R M M₂) ⊔ q.map (LinearMap.inr R M M₂) := by
rw [← map_coprod_prod, coprod_inl_inr, map_id]
#align linear_map.prod_eq_sup_map LinearMap.prod_eq_sup_map
theorem span_inl_union_inr {s : Set M} {t : Set M₂} :
span R (inl R M M₂ '' s ∪ inr R M M₂ '' t) = (span R s).prod (span R t) := by
rw [span_union, prod_eq_sup_map, ← span_image, ← span_image]
#align linear_map.span_inl_union_inr LinearMap.span_inl_union_inr
@[simp]
theorem ker_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : ker (prod f g) = ker f ⊓ ker g := by
rw [ker, ← prod_bot, comap_prod_prod]; rfl
#align linear_map.ker_prod LinearMap.ker_prod
theorem range_prod_le (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) :
range (prod f g) ≤ (range f).prod (range g) := by
simp only [SetLike.le_def, prod_apply, mem_range, SetLike.mem_coe, mem_prod, exists_imp]
rintro _ x rfl
exact ⟨⟨x, rfl⟩, ⟨x, rfl⟩⟩
#align linear_map.range_prod_le LinearMap.range_prod_le
theorem ker_prod_ker_le_ker_coprod {M₂ : Type*} [AddCommGroup M₂] [Module R M₂] {M₃ : Type*}
[AddCommGroup M₃] [Module R M₃] (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) :
(ker f).prod (ker g) ≤ ker (f.coprod g) := by
rintro ⟨y, z⟩
simp (config := { contextual := true })
#align linear_map.ker_prod_ker_le_ker_coprod LinearMap.ker_prod_ker_le_ker_coprod
theorem ker_coprod_of_disjoint_range {M₂ : Type*} [AddCommGroup M₂] [Module R M₂] {M₃ : Type*}
[AddCommGroup M₃] [Module R M₃] (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃)
(hd : Disjoint (range f) (range g)) : ker (f.coprod g) = (ker f).prod (ker g) := by
apply le_antisymm _ (ker_prod_ker_le_ker_coprod f g)
rintro ⟨y, z⟩ h
simp only [mem_ker, mem_prod, coprod_apply] at h ⊢
have : f y ∈ (range f) ⊓ (range g) := by
simp only [true_and_iff, mem_range, mem_inf, exists_apply_eq_apply]
use -z
rwa [eq_comm, map_neg, ← sub_eq_zero, sub_neg_eq_add]
rw [hd.eq_bot, mem_bot] at this
rw [this] at h
simpa [this] using h
#align linear_map.ker_coprod_of_disjoint_range LinearMap.ker_coprod_of_disjoint_range
end LinearMap
namespace Submodule
open LinearMap
variable [Semiring R]
variable [AddCommMonoid M] [AddCommMonoid M₂]
variable [Module R M] [Module R M₂]
theorem sup_eq_range (p q : Submodule R M) : p ⊔ q = range (p.subtype.coprod q.subtype) :=
Submodule.ext fun x => by simp [Submodule.mem_sup, SetLike.exists]
#align submodule.sup_eq_range Submodule.sup_eq_range
variable (p : Submodule R M) (q : Submodule R M₂)
@[simp]
theorem map_inl : p.map (inl R M M₂) = prod p ⊥ := by
ext ⟨x, y⟩
simp only [and_left_comm, eq_comm, mem_map, Prod.mk.inj_iff, inl_apply, mem_bot, exists_eq_left',
mem_prod]
#align submodule.map_inl Submodule.map_inl
@[simp]
theorem map_inr : q.map (inr R M M₂) = prod ⊥ q := by
ext ⟨x, y⟩; simp [and_left_comm, eq_comm, and_comm]
#align submodule.map_inr Submodule.map_inr
@[simp]
theorem comap_fst : p.comap (fst R M M₂) = prod p ⊤ := by ext ⟨x, y⟩; simp
#align submodule.comap_fst Submodule.comap_fst
@[simp]
theorem comap_snd : q.comap (snd R M M₂) = prod ⊤ q := by ext ⟨x, y⟩; simp
#align submodule.comap_snd Submodule.comap_snd
@[simp]
theorem prod_comap_inl : (prod p q).comap (inl R M M₂) = p := by ext; simp
#align submodule.prod_comap_inl Submodule.prod_comap_inl
@[simp]
theorem prod_comap_inr : (prod p q).comap (inr R M M₂) = q := by ext; simp
#align submodule.prod_comap_inr Submodule.prod_comap_inr
@[simp]
theorem prod_map_fst : (prod p q).map (fst R M M₂) = p := by
ext x; simp [(⟨0, zero_mem _⟩ : ∃ x, x ∈ q)]
#align submodule.prod_map_fst Submodule.prod_map_fst
@[simp]
theorem prod_map_snd : (prod p q).map (snd R M M₂) = q := by
ext x; simp [(⟨0, zero_mem _⟩ : ∃ x, x ∈ p)]
#align submodule.prod_map_snd Submodule.prod_map_snd
@[simp]
theorem ker_inl : ker (inl R M M₂) = ⊥ := by rw [ker, ← prod_bot, prod_comap_inl]
#align submodule.ker_inl Submodule.ker_inl
@[simp]
theorem ker_inr : ker (inr R M M₂) = ⊥ := by rw [ker, ← prod_bot, prod_comap_inr]
#align submodule.ker_inr Submodule.ker_inr
@[simp]
theorem range_fst : range (fst R M M₂) = ⊤ := by rw [range_eq_map, ← prod_top, prod_map_fst]
#align submodule.range_fst Submodule.range_fst
@[simp]
theorem range_snd : range (snd R M M₂) = ⊤ := by rw [range_eq_map, ← prod_top, prod_map_snd]
#align submodule.range_snd Submodule.range_snd
variable (R M M₂)
/-- `M` as a submodule of `M × N`. -/
def fst : Submodule R (M × M₂) :=
(⊥ : Submodule R M₂).comap (LinearMap.snd R M M₂)
#align submodule.fst Submodule.fst
/-- `M` as a submodule of `M × N` is isomorphic to `M`. -/
@[simps]
def fstEquiv : Submodule.fst R M M₂ ≃ₗ[R] M where
-- Porting note: proofs were `tidy` or `simp`
toFun x := x.1.1
invFun m := ⟨⟨m, 0⟩, by simp only [fst, comap_bot, mem_ker, snd_apply]⟩
map_add' := by simp only [AddSubmonoid.coe_add, coe_toAddSubmonoid, Prod.fst_add, Subtype.forall,
implies_true, Prod.forall, forall_const]
map_smul' := by simp only [SetLike.val_smul, Prod.smul_fst, RingHom.id_apply, Subtype.forall,
implies_true, Prod.forall, forall_const]
left_inv := by
rintro ⟨⟨x, y⟩, hy⟩
simp only [fst, comap_bot, mem_ker, snd_apply] at hy
simpa only [Subtype.mk.injEq, Prod.mk.injEq, true_and] using hy.symm
right_inv := by rintro x; rfl
#align submodule.fst_equiv Submodule.fstEquiv
theorem fst_map_fst : (Submodule.fst R M M₂).map (LinearMap.fst R M M₂) = ⊤ := by
-- Porting note (#10936): was `tidy`
rw [eq_top_iff]; rintro x -
simp only [fst, comap_bot, mem_map, mem_ker, snd_apply, fst_apply,
Prod.exists, exists_eq_left, exists_eq]
#align submodule.fst_map_fst Submodule.fst_map_fst
theorem fst_map_snd : (Submodule.fst R M M₂).map (LinearMap.snd R M M₂) = ⊥ := by
-- Porting note (#10936): was `tidy`
rw [eq_bot_iff]; intro x
simp only [fst, comap_bot, mem_map, mem_ker, snd_apply, eq_comm, Prod.exists, exists_eq_left,
exists_const, mem_bot, imp_self]
#align submodule.fst_map_snd Submodule.fst_map_snd
/-- `N` as a submodule of `M × N`. -/
def snd : Submodule R (M × M₂) :=
(⊥ : Submodule R M).comap (LinearMap.fst R M M₂)
#align submodule.snd Submodule.snd
/-- `N` as a submodule of `M × N` is isomorphic to `N`. -/
@[simps]
def sndEquiv : Submodule.snd R M M₂ ≃ₗ[R] M₂ where
-- Porting note: proofs were `tidy` or `simp`
toFun x := x.1.2
invFun n := ⟨⟨0, n⟩, by simp only [snd, comap_bot, mem_ker, fst_apply]⟩
map_add' := by simp only [AddSubmonoid.coe_add, coe_toAddSubmonoid, Prod.snd_add, Subtype.forall,
implies_true, Prod.forall, forall_const]
map_smul' := by simp only [SetLike.val_smul, Prod.smul_snd, RingHom.id_apply, Subtype.forall,
implies_true, Prod.forall, forall_const]
left_inv := by
rintro ⟨⟨x, y⟩, hx⟩
simp only [snd, comap_bot, mem_ker, fst_apply] at hx
simpa only [Subtype.mk.injEq, Prod.mk.injEq, and_true] using hx.symm
right_inv := by rintro x; rfl
#align submodule.snd_equiv Submodule.sndEquiv
theorem snd_map_fst : (Submodule.snd R M M₂).map (LinearMap.fst R M M₂) = ⊥ := by
-- Porting note (#10936): was `tidy`
rw [eq_bot_iff]; intro x
simp only [snd, comap_bot, mem_map, mem_ker, fst_apply, eq_comm, Prod.exists, exists_eq_left,
exists_const, mem_bot, imp_self]
#align submodule.snd_map_fst Submodule.snd_map_fst
theorem snd_map_snd : (Submodule.snd R M M₂).map (LinearMap.snd R M M₂) = ⊤ := by
-- Porting note (#10936): was `tidy`
rw [eq_top_iff]; rintro x -
simp only [snd, comap_bot, mem_map, mem_ker, snd_apply, fst_apply,
Prod.exists, exists_eq_right, exists_eq]
#align submodule.snd_map_snd Submodule.snd_map_snd
theorem fst_sup_snd : Submodule.fst R M M₂ ⊔ Submodule.snd R M M₂ = ⊤ := by
rw [eq_top_iff]
rintro ⟨m, n⟩ -
rw [show (m, n) = (m, 0) + (0, n) by simp]
apply Submodule.add_mem (Submodule.fst R M M₂ ⊔ Submodule.snd R M M₂)
· exact Submodule.mem_sup_left (Submodule.mem_comap.mpr (by simp))
· exact Submodule.mem_sup_right (Submodule.mem_comap.mpr (by simp))
#align submodule.fst_sup_snd Submodule.fst_sup_snd
theorem fst_inf_snd : Submodule.fst R M M₂ ⊓ Submodule.snd R M M₂ = ⊥ := by
-- Porting note (#10936): was `tidy`
rw [eq_bot_iff]; rintro ⟨x, y⟩
simp only [fst, comap_bot, snd, ge_iff_le, mem_inf, mem_ker, snd_apply, fst_apply, mem_bot,
Prod.mk_eq_zero, and_comm, imp_self]
#align submodule.fst_inf_snd Submodule.fst_inf_snd
theorem le_prod_iff {p₁ : Submodule R M} {p₂ : Submodule R M₂} {q : Submodule R (M × M₂)} :
q ≤ p₁.prod p₂ ↔ map (LinearMap.fst R M M₂) q ≤ p₁ ∧ map (LinearMap.snd R M M₂) q ≤ p₂ := by
constructor
· intro h
constructor
· rintro x ⟨⟨y1, y2⟩, ⟨hy1, rfl⟩⟩
exact (h hy1).1
· rintro x ⟨⟨y1, y2⟩, ⟨hy1, rfl⟩⟩
exact (h hy1).2
· rintro ⟨hH, hK⟩ ⟨x1, x2⟩ h
exact ⟨hH ⟨_, h, rfl⟩, hK ⟨_, h, rfl⟩⟩
#align submodule.le_prod_iff Submodule.le_prod_iff
theorem prod_le_iff {p₁ : Submodule R M} {p₂ : Submodule R M₂} {q : Submodule R (M × M₂)} :
p₁.prod p₂ ≤ q ↔ map (LinearMap.inl R M M₂) p₁ ≤ q ∧ map (LinearMap.inr R M M₂) p₂ ≤ q := by
constructor
· intro h
constructor
· rintro _ ⟨x, hx, rfl⟩
apply h
exact ⟨hx, zero_mem p₂⟩
· rintro _ ⟨x, hx, rfl⟩
apply h
exact ⟨zero_mem p₁, hx⟩
· rintro ⟨hH, hK⟩ ⟨x1, x2⟩ ⟨h1, h2⟩
have h1' : (LinearMap.inl R _ _) x1 ∈ q := by
apply hH
simpa using h1
have h2' : (LinearMap.inr R _ _) x2 ∈ q := by
apply hK
simpa using h2
simpa using add_mem h1' h2'
#align submodule.prod_le_iff Submodule.prod_le_iff
theorem prod_eq_bot_iff {p₁ : Submodule R M} {p₂ : Submodule R M₂} :
p₁.prod p₂ = ⊥ ↔ p₁ = ⊥ ∧ p₂ = ⊥ := by
simp only [eq_bot_iff, prod_le_iff, (gc_map_comap _).le_iff_le, comap_bot, ker_inl, ker_inr]
#align submodule.prod_eq_bot_iff Submodule.prod_eq_bot_iff
theorem prod_eq_top_iff {p₁ : Submodule R M} {p₂ : Submodule R M₂} :
p₁.prod p₂ = ⊤ ↔ p₁ = ⊤ ∧ p₂ = ⊤ := by
simp only [eq_top_iff, le_prod_iff, ← (gc_map_comap _).le_iff_le, map_top, range_fst, range_snd]
#align submodule.prod_eq_top_iff Submodule.prod_eq_top_iff
end Submodule
namespace LinearEquiv
/-- Product of modules is commutative up to linear isomorphism. -/
@[simps apply]
def prodComm (R M N : Type*) [Semiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M]
[Module R N] : (M × N) ≃ₗ[R] N × M :=
{ AddEquiv.prodComm with
toFun := Prod.swap
map_smul' := fun _r ⟨_m, _n⟩ => rfl }
#align linear_equiv.prod_comm LinearEquiv.prodComm
section prodComm
variable [Semiring R] [AddCommMonoid M] [AddCommMonoid M₂] [Module R M] [Module R M₂]
theorem fst_comp_prodComm :
(LinearMap.fst R M₂ M).comp (prodComm R M M₂).toLinearMap = (LinearMap.snd R M M₂) := by
ext <;> simp
theorem snd_comp_prodComm :
(LinearMap.snd R M₂ M).comp (prodComm R M M₂).toLinearMap = (LinearMap.fst R M M₂) := by
ext <;> simp
end prodComm
section
variable (R M M₂ M₃ M₄)
variable [Semiring R]
variable [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃] [AddCommMonoid M₄]
variable [Module R M] [Module R M₂] [Module R M₃] [Module R M₄]
/-- Four-way commutativity of `prod`. The name matches `mul_mul_mul_comm`. -/
@[simps apply]
def prodProdProdComm : ((M × M₂) × M₃ × M₄) ≃ₗ[R] (M × M₃) × M₂ × M₄ :=
{ AddEquiv.prodProdProdComm M M₂ M₃ M₄ with
toFun := fun mnmn => ((mnmn.1.1, mnmn.2.1), (mnmn.1.2, mnmn.2.2))
invFun := fun mmnn => ((mmnn.1.1, mmnn.2.1), (mmnn.1.2, mmnn.2.2))
map_smul' := fun _c _mnmn => rfl }
#align linear_equiv.prod_prod_prod_comm LinearEquiv.prodProdProdComm
@[simp]
theorem prodProdProdComm_symm :
(prodProdProdComm R M M₂ M₃ M₄).symm = prodProdProdComm R M M₃ M₂ M₄ :=
rfl
#align linear_equiv.prod_prod_prod_comm_symm LinearEquiv.prodProdProdComm_symm
@[simp]
theorem prodProdProdComm_toAddEquiv :
(prodProdProdComm R M M₂ M₃ M₄ : _ ≃+ _) = AddEquiv.prodProdProdComm M M₂ M₃ M₄ :=
rfl
#align linear_equiv.prod_prod_prod_comm_to_add_equiv LinearEquiv.prodProdProdComm_toAddEquiv
end
section
variable [Semiring R]
variable [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃] [AddCommMonoid M₄]
variable {module_M : Module R M} {module_M₂ : Module R M₂}
variable {module_M₃ : Module R M₃} {module_M₄ : Module R M₄}
variable (e₁ : M ≃ₗ[R] M₂) (e₂ : M₃ ≃ₗ[R] M₄)
/-- Product of linear equivalences; the maps come from `Equiv.prodCongr`. -/
protected def prod : (M × M₃) ≃ₗ[R] M₂ × M₄ :=
{ e₁.toAddEquiv.prodCongr e₂.toAddEquiv with
map_smul' := fun c _x => Prod.ext (e₁.map_smulₛₗ c _) (e₂.map_smulₛₗ c _) }
#align linear_equiv.prod LinearEquiv.prod
theorem prod_symm : (e₁.prod e₂).symm = e₁.symm.prod e₂.symm :=
rfl
#align linear_equiv.prod_symm LinearEquiv.prod_symm
@[simp]
theorem prod_apply (p) : e₁.prod e₂ p = (e₁ p.1, e₂ p.2) :=
rfl
#align linear_equiv.prod_apply LinearEquiv.prod_apply
@[simp, norm_cast]
theorem coe_prod :
(e₁.prod e₂ : M × M₃ →ₗ[R] M₂ × M₄) = (e₁ : M →ₗ[R] M₂).prodMap (e₂ : M₃ →ₗ[R] M₄) :=
rfl
#align linear_equiv.coe_prod LinearEquiv.coe_prod
end
section
variable [Semiring R]
variable [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃] [AddCommGroup M₄]
variable {module_M : Module R M} {module_M₂ : Module R M₂}
variable {module_M₃ : Module R M₃} {module_M₄ : Module R M₄}
variable (e₁ : M ≃ₗ[R] M₂) (e₂ : M₃ ≃ₗ[R] M₄)
/-- Equivalence given by a block lower diagonal matrix. `e₁` and `e₂` are diagonal square blocks,
and `f` is a rectangular block below the diagonal. -/
protected def skewProd (f : M →ₗ[R] M₄) : (M × M₃) ≃ₗ[R] M₂ × M₄ :=
{ ((e₁ : M →ₗ[R] M₂).comp (LinearMap.fst R M M₃)).prod
((e₂ : M₃ →ₗ[R] M₄).comp (LinearMap.snd R M M₃) +
f.comp (LinearMap.fst R M M₃)) with
invFun := fun p : M₂ × M₄ => (e₁.symm p.1, e₂.symm (p.2 - f (e₁.symm p.1)))
left_inv := fun p => by simp
right_inv := fun p => by simp }
#align linear_equiv.skew_prod LinearEquiv.skewProd
@[simp]
theorem skewProd_apply (f : M →ₗ[R] M₄) (x) : e₁.skewProd e₂ f x = (e₁ x.1, e₂ x.2 + f x.1) :=
rfl
#align linear_equiv.skew_prod_apply LinearEquiv.skewProd_apply
@[simp]
theorem skewProd_symm_apply (f : M →ₗ[R] M₄) (x) :
(e₁.skewProd e₂ f).symm x = (e₁.symm x.1, e₂.symm (x.2 - f (e₁.symm x.1))) :=
rfl
#align linear_equiv.skew_prod_symm_apply LinearEquiv.skewProd_symm_apply
end
end LinearEquiv
namespace LinearMap
open Submodule
variable [Ring R]
variable [AddCommGroup M] [AddCommGroup M₂] [AddCommGroup M₃]
variable [Module R M] [Module R M₂] [Module R M₃]
/-- If the union of the kernels `ker f` and `ker g` spans the domain, then the range of
`Prod f g` is equal to the product of `range f` and `range g`. -/
theorem range_prod_eq {f : M →ₗ[R] M₂} {g : M →ₗ[R] M₃} (h : ker f ⊔ ker g = ⊤) :
range (prod f g) = (range f).prod (range g) := by
refine le_antisymm (f.range_prod_le g) ?_
simp only [SetLike.le_def, prod_apply, mem_range, SetLike.mem_coe, mem_prod, exists_imp, and_imp,
Prod.forall, Pi.prod]
rintro _ _ x rfl y rfl
-- Note: #8386 had to specify `(f := f)`
simp only [Prod.mk.inj_iff, ← sub_mem_ker_iff (f := f)]
have : y - x ∈ ker f ⊔ ker g := by simp only [h, mem_top]
rcases mem_sup.1 this with ⟨x', hx', y', hy', H⟩
refine ⟨x' + x, ?_, ?_⟩
· rwa [add_sub_cancel_right]
· simp [← eq_sub_iff_add_eq.1 H, map_add, add_left_inj, self_eq_add_right, mem_ker.mp hy']
#align linear_map.range_prod_eq LinearMap.range_prod_eq
end LinearMap
namespace LinearMap
/-!
## Tunnels and tailings
NOTE: The proof of strong rank condition for noetherian rings is changed.
`LinearMap.tunnel` and `LinearMap.tailing` are not used in mathlib anymore.
These are marked as deprecated with no replacements.
If you use them in external projects, please consider using other arguments instead.
Some preliminary work for establishing the strong rank condition for noetherian rings.
Given a morphism `f : M × N →ₗ[R] M` which is `i : Injective f`,
we can find an infinite decreasing `tunnel f i n` of copies of `M` inside `M`,
and sitting beside these, an infinite sequence of copies of `N`.
We picturesquely name these as `tailing f i n` for each individual copy of `N`,
and `tailings f i n` for the supremum of the first `n+1` copies:
they are the pieces left behind, sitting inside the tunnel.
By construction, each `tailing f i (n+1)` is disjoint from `tailings f i n`;
later, when we assume `M` is noetherian, this implies that `N` must be trivial,
and establishes the strong rank condition for any left-noetherian ring.
-/
noncomputable section Tunnel
-- (This doesn't work over a semiring: we need to use that `Submodule R M` is a modular lattice,
-- which requires cancellation.)
variable [Ring R]
variable {N : Type*} [AddCommGroup M] [Module R M] [AddCommGroup N] [Module R N]
open Function
set_option linter.deprecated false
/-- An auxiliary construction for `tunnel`.
The composition of `f`, followed by the isomorphism back to `K`,
followed by the inclusion of this submodule back into `M`. -/
@[deprecated (since := "2024-06-05")]
def tunnelAux (f : M × N →ₗ[R] M) (Kφ : ΣK : Submodule R M, K ≃ₗ[R] M) : M × N →ₗ[R] M :=
(Kφ.1.subtype.comp Kφ.2.symm.toLinearMap).comp f
#align linear_map.tunnel_aux LinearMap.tunnelAux
@[deprecated (since := "2024-06-05")]
theorem tunnelAux_injective (f : M × N →ₗ[R] M) (i : Injective f)
(Kφ : ΣK : Submodule R M, K ≃ₗ[R] M) : Injective (tunnelAux f Kφ) :=
(Subtype.val_injective.comp Kφ.2.symm.injective).comp i
#align linear_map.tunnel_aux_injective LinearMap.tunnelAux_injective
/-- Auxiliary definition for `tunnel`. -/
@[deprecated (since := "2024-06-05")]
def tunnel' (f : M × N →ₗ[R] M) (i : Injective f) : ℕ → ΣK : Submodule R M, K ≃ₗ[R] M
| 0 => ⟨⊤, LinearEquiv.ofTop ⊤ rfl⟩
| n + 1 =>
⟨(Submodule.fst R M N).map (tunnelAux f (tunnel' f i n)),
((Submodule.fst R M N).equivMapOfInjective _
(tunnelAux_injective f i (tunnel' f i n))).symm.trans (Submodule.fstEquiv R M N)⟩
#align linear_map.tunnel' LinearMap.tunnel'ₓ -- Porting note: different universes
/-- Give an injective map `f : M × N →ₗ[R] M` we can find a nested sequence of submodules
all isomorphic to `M`.
-/
@[deprecated (since := "2024-06-05")]
def tunnel (f : M × N →ₗ[R] M) (i : Injective f) : ℕ →o (Submodule R M)ᵒᵈ :=
-- Note: the hint `(α := _)` had to be added in #8386
⟨fun n => OrderDual.toDual (α := Submodule R M) (tunnel' f i n).1,
monotone_nat_of_le_succ fun n => by
dsimp [tunnel', tunnelAux]
rw [Submodule.map_comp, Submodule.map_comp]
apply Submodule.map_subtype_le⟩
#align linear_map.tunnel LinearMap.tunnel
/-- Give an injective map `f : M × N →ₗ[R] M` we can find a sequence of submodules
all isomorphic to `N`.
-/
@[deprecated (since := "2024-06-05")]
def tailing (f : M × N →ₗ[R] M) (i : Injective f) (n : ℕ) : Submodule R M :=
(Submodule.snd R M N).map (tunnelAux f (tunnel' f i n))
#align linear_map.tailing LinearMap.tailing
/-- Each `tailing f i n` is a copy of `N`. -/
@[deprecated (since := "2024-06-05")]
def tailingLinearEquiv (f : M × N →ₗ[R] M) (i : Injective f) (n : ℕ) : tailing f i n ≃ₗ[R] N :=
((Submodule.snd R M N).equivMapOfInjective _ (tunnelAux_injective f i (tunnel' f i n))).symm.trans
(Submodule.sndEquiv R M N)
#align linear_map.tailing_linear_equiv LinearMap.tailingLinearEquiv
@[deprecated (since := "2024-06-05")]
theorem tailing_le_tunnel (f : M × N →ₗ[R] M) (i : Injective f) (n : ℕ) :
tailing f i n ≤ OrderDual.ofDual (α := Submodule R M) (tunnel f i n) := by
dsimp [tailing, tunnelAux]
rw [Submodule.map_comp, Submodule.map_comp]
apply Submodule.map_subtype_le
#align linear_map.tailing_le_tunnel LinearMap.tailing_le_tunnel
@[deprecated (since := "2024-06-05")]
theorem tailing_disjoint_tunnel_succ (f : M × N →ₗ[R] M) (i : Injective f) (n : ℕ) :
Disjoint (tailing f i n) (OrderDual.ofDual (α := Submodule R M) <| tunnel f i (n + 1)) := by
rw [disjoint_iff]
dsimp [tailing, tunnel, tunnel']
erw [Submodule.map_inf_eq_map_inf_comap,
Submodule.comap_map_eq_of_injective (tunnelAux_injective _ i _), inf_comm,
Submodule.fst_inf_snd, Submodule.map_bot]
#align linear_map.tailing_disjoint_tunnel_succ LinearMap.tailing_disjoint_tunnel_succ
@[deprecated (since := "2024-06-05")]
| Mathlib/LinearAlgebra/Prod.lean | 992 | 997 | theorem tailing_sup_tunnel_succ_le_tunnel (f : M × N →ₗ[R] M) (i : Injective f) (n : ℕ) :
tailing f i n ⊔ (OrderDual.ofDual (α := Submodule R M) $ tunnel f i (n + 1)) ≤
(OrderDual.ofDual (α := Submodule R M) <| tunnel f i n) := by |
dsimp [tailing, tunnel, tunnel', tunnelAux]
erw [← Submodule.map_sup, sup_comm, Submodule.fst_sup_snd, Submodule.map_comp, Submodule.map_comp]
apply Submodule.map_subtype_le
|
/-
Copyright (c) 2019 Gabriel Ebner. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Gabriel Ebner, Sébastien Gouëzel
-/
import Mathlib.Analysis.Calculus.FDeriv.Basic
import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace
#align_import analysis.calculus.deriv.basic from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
/-!
# One-dimensional derivatives
This file defines the derivative of a function `f : 𝕜 → F` where `𝕜` is a
normed field and `F` is a normed space over this field. The derivative of
such a function `f` at a point `x` is given by an element `f' : F`.
The theory is developed analogously to the [Fréchet
derivatives](./fderiv.html). We first introduce predicates defined in terms
of the corresponding predicates for Fréchet derivatives:
- `HasDerivAtFilter f f' x L` states that the function `f` has the
derivative `f'` at the point `x` as `x` goes along the filter `L`.
- `HasDerivWithinAt f f' s x` states that the function `f` has the
derivative `f'` at the point `x` within the subset `s`.
- `HasDerivAt f f' x` states that the function `f` has the derivative `f'`
at the point `x`.
- `HasStrictDerivAt f f' x` states that the function `f` has the derivative `f'`
at the point `x` in the sense of strict differentiability, i.e.,
`f y - f z = (y - z) • f' + o (y - z)` as `y, z → x`.
For the last two notions we also define a functional version:
- `derivWithin f s x` is a derivative of `f` at `x` within `s`. If the
derivative does not exist, then `derivWithin f s x` equals zero.
- `deriv f x` is a derivative of `f` at `x`. If the derivative does not
exist, then `deriv f x` equals zero.
The theorems `fderivWithin_derivWithin` and `fderiv_deriv` show that the
one-dimensional derivatives coincide with the general Fréchet derivatives.
We also show the existence and compute the derivatives of:
- constants
- the identity function
- linear maps (in `Linear.lean`)
- addition (in `Add.lean`)
- sum of finitely many functions (in `Add.lean`)
- negation (in `Add.lean`)
- subtraction (in `Add.lean`)
- star (in `Star.lean`)
- multiplication of two functions in `𝕜 → 𝕜` (in `Mul.lean`)
- multiplication of a function in `𝕜 → 𝕜` and of a function in `𝕜 → E` (in `Mul.lean`)
- powers of a function (in `Pow.lean` and `ZPow.lean`)
- inverse `x → x⁻¹` (in `Inv.lean`)
- division (in `Inv.lean`)
- composition of a function in `𝕜 → F` with a function in `𝕜 → 𝕜` (in `Comp.lean`)
- composition of a function in `F → E` with a function in `𝕜 → F` (in `Comp.lean`)
- inverse function (assuming that it exists; the inverse function theorem is in `Inverse.lean`)
- polynomials (in `Polynomial.lean`)
For most binary operations we also define `const_op` and `op_const` theorems for the cases when
the first or second argument is a constant. This makes writing chains of `HasDerivAt`'s easier,
and they more frequently lead to the desired result.
We set up the simplifier so that it can compute the derivative of simple functions. For instance,
```lean
example (x : ℝ) :
deriv (fun x ↦ cos (sin x) * exp x) x = (cos(sin(x))-sin(sin(x))*cos(x))*exp(x) := by
simp; ring
```
The relationship between the derivative of a function and its definition from a standard
undergraduate course as the limit of the slope `(f y - f x) / (y - x)` as `y` tends to `𝓝[≠] x`
is developed in the file `Slope.lean`.
## Implementation notes
Most of the theorems are direct restatements of the corresponding theorems
for Fréchet derivatives.
The strategy to construct simp lemmas that give the simplifier the possibility to compute
derivatives is the same as the one for differentiability statements, as explained in
`FDeriv/Basic.lean`. See the explanations there.
-/
universe u v w
noncomputable section
open scoped Classical Topology Filter ENNReal NNReal
open Filter Asymptotics Set
open ContinuousLinearMap (smulRight smulRight_one_eq_iff)
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
/-- `f` has the derivative `f'` at the point `x` as `x` goes along the filter `L`.
That is, `f x' = f x + (x' - x) • f' + o(x' - x)` where `x'` converges along the filter `L`.
-/
def HasDerivAtFilter (f : 𝕜 → F) (f' : F) (x : 𝕜) (L : Filter 𝕜) :=
HasFDerivAtFilter f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x L
#align has_deriv_at_filter HasDerivAtFilter
/-- `f` has the derivative `f'` at the point `x` within the subset `s`.
That is, `f x' = f x + (x' - x) • f' + o(x' - x)` where `x'` converges to `x` inside `s`.
-/
def HasDerivWithinAt (f : 𝕜 → F) (f' : F) (s : Set 𝕜) (x : 𝕜) :=
HasDerivAtFilter f f' x (𝓝[s] x)
#align has_deriv_within_at HasDerivWithinAt
/-- `f` has the derivative `f'` at the point `x`.
That is, `f x' = f x + (x' - x) • f' + o(x' - x)` where `x'` converges to `x`.
-/
def HasDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) :=
HasDerivAtFilter f f' x (𝓝 x)
#align has_deriv_at HasDerivAt
/-- `f` has the derivative `f'` at the point `x` in the sense of strict differentiability.
That is, `f y - f z = (y - z) • f' + o(y - z)` as `y, z → x`. -/
def HasStrictDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) :=
HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x
#align has_strict_deriv_at HasStrictDerivAt
/-- Derivative of `f` at the point `x` within the set `s`, if it exists. Zero otherwise.
If the derivative exists (i.e., `∃ f', HasDerivWithinAt f f' s x`), then
`f x' = f x + (x' - x) • derivWithin f s x + o(x' - x)` where `x'` converges to `x` inside `s`.
-/
def derivWithin (f : 𝕜 → F) (s : Set 𝕜) (x : 𝕜) :=
fderivWithin 𝕜 f s x 1
#align deriv_within derivWithin
/-- Derivative of `f` at the point `x`, if it exists. Zero otherwise.
If the derivative exists (i.e., `∃ f', HasDerivAt f f' x`), then
`f x' = f x + (x' - x) • deriv f x + o(x' - x)` where `x'` converges to `x`.
-/
def deriv (f : 𝕜 → F) (x : 𝕜) :=
fderiv 𝕜 f x 1
#align deriv deriv
variable {f f₀ f₁ g : 𝕜 → F}
variable {f' f₀' f₁' g' : F}
variable {x : 𝕜}
variable {s t : Set 𝕜}
variable {L L₁ L₂ : Filter 𝕜}
/-- Expressing `HasFDerivAtFilter f f' x L` in terms of `HasDerivAtFilter` -/
theorem hasFDerivAtFilter_iff_hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} :
HasFDerivAtFilter f f' x L ↔ HasDerivAtFilter f (f' 1) x L := by simp [HasDerivAtFilter]
#align has_fderiv_at_filter_iff_has_deriv_at_filter hasFDerivAtFilter_iff_hasDerivAtFilter
theorem HasFDerivAtFilter.hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} :
HasFDerivAtFilter f f' x L → HasDerivAtFilter f (f' 1) x L :=
hasFDerivAtFilter_iff_hasDerivAtFilter.mp
#align has_fderiv_at_filter.has_deriv_at_filter HasFDerivAtFilter.hasDerivAtFilter
/-- Expressing `HasFDerivWithinAt f f' s x` in terms of `HasDerivWithinAt` -/
theorem hasFDerivWithinAt_iff_hasDerivWithinAt {f' : 𝕜 →L[𝕜] F} :
HasFDerivWithinAt f f' s x ↔ HasDerivWithinAt f (f' 1) s x :=
hasFDerivAtFilter_iff_hasDerivAtFilter
#align has_fderiv_within_at_iff_has_deriv_within_at hasFDerivWithinAt_iff_hasDerivWithinAt
/-- Expressing `HasDerivWithinAt f f' s x` in terms of `HasFDerivWithinAt` -/
theorem hasDerivWithinAt_iff_hasFDerivWithinAt {f' : F} :
HasDerivWithinAt f f' s x ↔ HasFDerivWithinAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') s x :=
Iff.rfl
#align has_deriv_within_at_iff_has_fderiv_within_at hasDerivWithinAt_iff_hasFDerivWithinAt
theorem HasFDerivWithinAt.hasDerivWithinAt {f' : 𝕜 →L[𝕜] F} :
HasFDerivWithinAt f f' s x → HasDerivWithinAt f (f' 1) s x :=
hasFDerivWithinAt_iff_hasDerivWithinAt.mp
#align has_fderiv_within_at.has_deriv_within_at HasFDerivWithinAt.hasDerivWithinAt
theorem HasDerivWithinAt.hasFDerivWithinAt {f' : F} :
HasDerivWithinAt f f' s x → HasFDerivWithinAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') s x :=
hasDerivWithinAt_iff_hasFDerivWithinAt.mp
#align has_deriv_within_at.has_fderiv_within_at HasDerivWithinAt.hasFDerivWithinAt
/-- Expressing `HasFDerivAt f f' x` in terms of `HasDerivAt` -/
theorem hasFDerivAt_iff_hasDerivAt {f' : 𝕜 →L[𝕜] F} : HasFDerivAt f f' x ↔ HasDerivAt f (f' 1) x :=
hasFDerivAtFilter_iff_hasDerivAtFilter
#align has_fderiv_at_iff_has_deriv_at hasFDerivAt_iff_hasDerivAt
theorem HasFDerivAt.hasDerivAt {f' : 𝕜 →L[𝕜] F} : HasFDerivAt f f' x → HasDerivAt f (f' 1) x :=
hasFDerivAt_iff_hasDerivAt.mp
#align has_fderiv_at.has_deriv_at HasFDerivAt.hasDerivAt
theorem hasStrictFDerivAt_iff_hasStrictDerivAt {f' : 𝕜 →L[𝕜] F} :
HasStrictFDerivAt f f' x ↔ HasStrictDerivAt f (f' 1) x := by
simp [HasStrictDerivAt, HasStrictFDerivAt]
#align has_strict_fderiv_at_iff_has_strict_deriv_at hasStrictFDerivAt_iff_hasStrictDerivAt
protected theorem HasStrictFDerivAt.hasStrictDerivAt {f' : 𝕜 →L[𝕜] F} :
HasStrictFDerivAt f f' x → HasStrictDerivAt f (f' 1) x :=
hasStrictFDerivAt_iff_hasStrictDerivAt.mp
#align has_strict_fderiv_at.has_strict_deriv_at HasStrictFDerivAt.hasStrictDerivAt
theorem hasStrictDerivAt_iff_hasStrictFDerivAt :
HasStrictDerivAt f f' x ↔ HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x :=
Iff.rfl
#align has_strict_deriv_at_iff_has_strict_fderiv_at hasStrictDerivAt_iff_hasStrictFDerivAt
alias ⟨HasStrictDerivAt.hasStrictFDerivAt, _⟩ := hasStrictDerivAt_iff_hasStrictFDerivAt
#align has_strict_deriv_at.has_strict_fderiv_at HasStrictDerivAt.hasStrictFDerivAt
/-- Expressing `HasDerivAt f f' x` in terms of `HasFDerivAt` -/
theorem hasDerivAt_iff_hasFDerivAt {f' : F} :
HasDerivAt f f' x ↔ HasFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x :=
Iff.rfl
#align has_deriv_at_iff_has_fderiv_at hasDerivAt_iff_hasFDerivAt
alias ⟨HasDerivAt.hasFDerivAt, _⟩ := hasDerivAt_iff_hasFDerivAt
#align has_deriv_at.has_fderiv_at HasDerivAt.hasFDerivAt
theorem derivWithin_zero_of_not_differentiableWithinAt (h : ¬DifferentiableWithinAt 𝕜 f s x) :
derivWithin f s x = 0 := by
unfold derivWithin
rw [fderivWithin_zero_of_not_differentiableWithinAt h]
simp
#align deriv_within_zero_of_not_differentiable_within_at derivWithin_zero_of_not_differentiableWithinAt
theorem derivWithin_zero_of_isolated (h : 𝓝[s \ {x}] x = ⊥) : derivWithin f s x = 0 := by
rw [derivWithin, fderivWithin_zero_of_isolated h, ContinuousLinearMap.zero_apply]
theorem derivWithin_zero_of_nmem_closure (h : x ∉ closure s) : derivWithin f s x = 0 := by
rw [derivWithin, fderivWithin_zero_of_nmem_closure h, ContinuousLinearMap.zero_apply]
theorem differentiableWithinAt_of_derivWithin_ne_zero (h : derivWithin f s x ≠ 0) :
DifferentiableWithinAt 𝕜 f s x :=
not_imp_comm.1 derivWithin_zero_of_not_differentiableWithinAt h
#align differentiable_within_at_of_deriv_within_ne_zero differentiableWithinAt_of_derivWithin_ne_zero
theorem deriv_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : deriv f x = 0 := by
unfold deriv
rw [fderiv_zero_of_not_differentiableAt h]
simp
#align deriv_zero_of_not_differentiable_at deriv_zero_of_not_differentiableAt
theorem differentiableAt_of_deriv_ne_zero (h : deriv f x ≠ 0) : DifferentiableAt 𝕜 f x :=
not_imp_comm.1 deriv_zero_of_not_differentiableAt h
#align differentiable_at_of_deriv_ne_zero differentiableAt_of_deriv_ne_zero
theorem UniqueDiffWithinAt.eq_deriv (s : Set 𝕜) (H : UniqueDiffWithinAt 𝕜 s x)
(h : HasDerivWithinAt f f' s x) (h₁ : HasDerivWithinAt f f₁' s x) : f' = f₁' :=
smulRight_one_eq_iff.mp <| UniqueDiffWithinAt.eq H h h₁
#align unique_diff_within_at.eq_deriv UniqueDiffWithinAt.eq_deriv
theorem hasDerivAtFilter_iff_isLittleO :
HasDerivAtFilter f f' x L ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[L] fun x' => x' - x :=
hasFDerivAtFilter_iff_isLittleO ..
#align has_deriv_at_filter_iff_is_o hasDerivAtFilter_iff_isLittleO
theorem hasDerivAtFilter_iff_tendsto :
HasDerivAtFilter f f' x L ↔
Tendsto (fun x' : 𝕜 => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) L (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
#align has_deriv_at_filter_iff_tendsto hasDerivAtFilter_iff_tendsto
theorem hasDerivWithinAt_iff_isLittleO :
HasDerivWithinAt f f' s x ↔
(fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[𝓝[s] x] fun x' => x' - x :=
hasFDerivAtFilter_iff_isLittleO ..
#align has_deriv_within_at_iff_is_o hasDerivWithinAt_iff_isLittleO
theorem hasDerivWithinAt_iff_tendsto :
HasDerivWithinAt f f' s x ↔
Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) (𝓝[s] x) (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
#align has_deriv_within_at_iff_tendsto hasDerivWithinAt_iff_tendsto
theorem hasDerivAt_iff_isLittleO :
HasDerivAt f f' x ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[𝓝 x] fun x' => x' - x :=
hasFDerivAtFilter_iff_isLittleO ..
#align has_deriv_at_iff_is_o hasDerivAt_iff_isLittleO
theorem hasDerivAt_iff_tendsto :
HasDerivAt f f' x ↔ Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) (𝓝 x) (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
#align has_deriv_at_iff_tendsto hasDerivAt_iff_tendsto
theorem HasDerivAtFilter.isBigO_sub (h : HasDerivAtFilter f f' x L) :
(fun x' => f x' - f x) =O[L] fun x' => x' - x :=
HasFDerivAtFilter.isBigO_sub h
set_option linter.uppercaseLean3 false in
#align has_deriv_at_filter.is_O_sub HasDerivAtFilter.isBigO_sub
nonrec theorem HasDerivAtFilter.isBigO_sub_rev (hf : HasDerivAtFilter f f' x L) (hf' : f' ≠ 0) :
(fun x' => x' - x) =O[L] fun x' => f x' - f x :=
suffices AntilipschitzWith ‖f'‖₊⁻¹ (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') from hf.isBigO_sub_rev this
AddMonoidHomClass.antilipschitz_of_bound (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') fun x => by
simp [norm_smul, ← div_eq_inv_mul, mul_div_cancel_right₀ _ (mt norm_eq_zero.1 hf')]
set_option linter.uppercaseLean3 false in
#align has_deriv_at_filter.is_O_sub_rev HasDerivAtFilter.isBigO_sub_rev
theorem HasStrictDerivAt.hasDerivAt (h : HasStrictDerivAt f f' x) : HasDerivAt f f' x :=
h.hasFDerivAt
#align has_strict_deriv_at.has_deriv_at HasStrictDerivAt.hasDerivAt
theorem hasDerivWithinAt_congr_set' {s t : Set 𝕜} (y : 𝕜) (h : s =ᶠ[𝓝[{y}ᶜ] x] t) :
HasDerivWithinAt f f' s x ↔ HasDerivWithinAt f f' t x :=
hasFDerivWithinAt_congr_set' y h
#align has_deriv_within_at_congr_set' hasDerivWithinAt_congr_set'
theorem hasDerivWithinAt_congr_set {s t : Set 𝕜} (h : s =ᶠ[𝓝 x] t) :
HasDerivWithinAt f f' s x ↔ HasDerivWithinAt f f' t x :=
hasFDerivWithinAt_congr_set h
#align has_deriv_within_at_congr_set hasDerivWithinAt_congr_set
alias ⟨HasDerivWithinAt.congr_set, _⟩ := hasDerivWithinAt_congr_set
#align has_deriv_within_at.congr_set HasDerivWithinAt.congr_set
@[simp]
theorem hasDerivWithinAt_diff_singleton :
HasDerivWithinAt f f' (s \ {x}) x ↔ HasDerivWithinAt f f' s x :=
hasFDerivWithinAt_diff_singleton _
#align has_deriv_within_at_diff_singleton hasDerivWithinAt_diff_singleton
@[simp]
theorem hasDerivWithinAt_Ioi_iff_Ici [PartialOrder 𝕜] :
HasDerivWithinAt f f' (Ioi x) x ↔ HasDerivWithinAt f f' (Ici x) x := by
rw [← Ici_diff_left, hasDerivWithinAt_diff_singleton]
#align has_deriv_within_at_Ioi_iff_Ici hasDerivWithinAt_Ioi_iff_Ici
alias ⟨HasDerivWithinAt.Ici_of_Ioi, HasDerivWithinAt.Ioi_of_Ici⟩ := hasDerivWithinAt_Ioi_iff_Ici
#align has_deriv_within_at.Ici_of_Ioi HasDerivWithinAt.Ici_of_Ioi
#align has_deriv_within_at.Ioi_of_Ici HasDerivWithinAt.Ioi_of_Ici
@[simp]
| Mathlib/Analysis/Calculus/Deriv/Basic.lean | 342 | 344 | theorem hasDerivWithinAt_Iio_iff_Iic [PartialOrder 𝕜] :
HasDerivWithinAt f f' (Iio x) x ↔ HasDerivWithinAt f f' (Iic x) x := by |
rw [← Iic_diff_right, hasDerivWithinAt_diff_singleton]
|
/-
Copyright (c) 2020 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.normed_space.enorm from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2"
/-!
# Extended norm
In this file we define a structure `ENorm 𝕜 V` representing an extended norm (i.e., a norm that can
take the value `∞`) on a vector space `V` over a normed field `𝕜`. We do not use `class` for
an `ENorm` because the same space can have more than one extended norm. For example, the space of
measurable functions `f : α → ℝ` has a family of `L_p` extended norms.
We prove some basic inequalities, then define
* `EMetricSpace` structure on `V` corresponding to `e : ENorm 𝕜 V`;
* the subspace of vectors with finite norm, called `e.finiteSubspace`;
* a `NormedSpace` structure on this space.
The last definition is an instance because the type involves `e`.
## Implementation notes
We do not define extended normed groups. They can be added to the chain once someone will need them.
## Tags
normed space, extended norm
-/
noncomputable section
attribute [local instance] Classical.propDecidable
open ENNReal
/-- Extended norm on a vector space. As in the case of normed spaces, we require only
`‖c • x‖ ≤ ‖c‖ * ‖x‖` in the definition, then prove an equality in `map_smul`. -/
structure ENorm (𝕜 : Type*) (V : Type*) [NormedField 𝕜] [AddCommGroup V] [Module 𝕜 V] where
toFun : V → ℝ≥0∞
eq_zero' : ∀ x, toFun x = 0 → x = 0
map_add_le' : ∀ x y : V, toFun (x + y) ≤ toFun x + toFun y
map_smul_le' : ∀ (c : 𝕜) (x : V), toFun (c • x) ≤ ‖c‖₊ * toFun x
#align enorm ENorm
namespace ENorm
variable {𝕜 : Type*} {V : Type*} [NormedField 𝕜] [AddCommGroup V] [Module 𝕜 V] (e : ENorm 𝕜 V)
-- Porting note: added to appease norm_cast complaints
attribute [coe] ENorm.toFun
instance : CoeFun (ENorm 𝕜 V) fun _ => V → ℝ≥0∞ :=
⟨ENorm.toFun⟩
theorem coeFn_injective : Function.Injective ((↑) : ENorm 𝕜 V → V → ℝ≥0∞) := fun e₁ e₂ h => by
cases e₁
cases e₂
congr
#align enorm.coe_fn_injective ENorm.coeFn_injective
@[ext]
theorem ext {e₁ e₂ : ENorm 𝕜 V} (h : ∀ x, e₁ x = e₂ x) : e₁ = e₂ :=
coeFn_injective <| funext h
#align enorm.ext ENorm.ext
theorem ext_iff {e₁ e₂ : ENorm 𝕜 V} : e₁ = e₂ ↔ ∀ x, e₁ x = e₂ x :=
⟨fun h _ => h ▸ rfl, ext⟩
#align enorm.ext_iff ENorm.ext_iff
@[simp, norm_cast]
theorem coe_inj {e₁ e₂ : ENorm 𝕜 V} : (e₁ : V → ℝ≥0∞) = e₂ ↔ e₁ = e₂ :=
coeFn_injective.eq_iff
#align enorm.coe_inj ENorm.coe_inj
@[simp]
theorem map_smul (c : 𝕜) (x : V) : e (c • x) = ‖c‖₊ * e x := by
apply le_antisymm (e.map_smul_le' c x)
by_cases hc : c = 0
· simp [hc]
calc
(‖c‖₊ : ℝ≥0∞) * e x = ‖c‖₊ * e (c⁻¹ • c • x) := by rw [inv_smul_smul₀ hc]
_ ≤ ‖c‖₊ * (‖c⁻¹‖₊ * e (c • x)) := mul_le_mul_left' (e.map_smul_le' _ _) _
_ = e (c • x) := by
rw [← mul_assoc, nnnorm_inv, ENNReal.coe_inv, ENNReal.mul_inv_cancel _ ENNReal.coe_ne_top,
one_mul]
<;> simp [hc]
#align enorm.map_smul ENorm.map_smul
@[simp]
theorem map_zero : e 0 = 0 := by
rw [← zero_smul 𝕜 (0 : V), e.map_smul]
norm_num
#align enorm.map_zero ENorm.map_zero
@[simp]
theorem eq_zero_iff {x : V} : e x = 0 ↔ x = 0 :=
⟨e.eq_zero' x, fun h => h.symm ▸ e.map_zero⟩
#align enorm.eq_zero_iff ENorm.eq_zero_iff
@[simp]
| Mathlib/Analysis/NormedSpace/ENorm.lean | 107 | 110 | theorem map_neg (x : V) : e (-x) = e x :=
calc
e (-x) = ‖(-1 : 𝕜)‖₊ * e x := by | rw [← map_smul, neg_one_smul]
_ = e x := by simp
|
/-
Copyright (c) 2022 Michael Stoll. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Stoll, Thomas Zhu, Mario Carneiro
-/
import Mathlib.NumberTheory.LegendreSymbol.QuadraticReciprocity
#align_import number_theory.legendre_symbol.jacobi_symbol from "leanprover-community/mathlib"@"74a27133cf29446a0983779e37c8f829a85368f3"
/-!
# The Jacobi Symbol
We define the Jacobi symbol and prove its main properties.
## Main definitions
We define the Jacobi symbol, `jacobiSym a b`, for integers `a` and natural numbers `b`
as the product over the prime factors `p` of `b` of the Legendre symbols `legendreSym p a`.
This agrees with the mathematical definition when `b` is odd.
The prime factors are obtained via `Nat.factors`. Since `Nat.factors 0 = []`,
this implies in particular that `jacobiSym a 0 = 1` for all `a`.
## Main statements
We prove the main properties of the Jacobi symbol, including the following.
* Multiplicativity in both arguments (`jacobiSym.mul_left`, `jacobiSym.mul_right`)
* The value of the symbol is `1` or `-1` when the arguments are coprime
(`jacobiSym.eq_one_or_neg_one`)
* The symbol vanishes if and only if `b ≠ 0` and the arguments are not coprime
(`jacobiSym.eq_zero_iff_not_coprime`)
* If the symbol has the value `-1`, then `a : ZMod b` is not a square
(`ZMod.nonsquare_of_jacobiSym_eq_neg_one`); the converse holds when `b = p` is a prime
(`ZMod.nonsquare_iff_jacobiSym_eq_neg_one`); in particular, in this case `a` is a
square mod `p` when the symbol has the value `1` (`ZMod.isSquare_of_jacobiSym_eq_one`).
* Quadratic reciprocity (`jacobiSym.quadratic_reciprocity`,
`jacobiSym.quadratic_reciprocity_one_mod_four`,
`jacobiSym.quadratic_reciprocity_three_mod_four`)
* The supplementary laws for `a = -1`, `a = 2`, `a = -2` (`jacobiSym.at_neg_one`,
`jacobiSym.at_two`, `jacobiSym.at_neg_two`)
* The symbol depends on `a` only via its residue class mod `b` (`jacobiSym.mod_left`)
and on `b` only via its residue class mod `4*a` (`jacobiSym.mod_right`)
* A `csimp` rule for `jacobiSym` and `legendreSym` that evaluates `J(a | b)` efficiently by
reducing to the case `0 ≤ a < b` and `a`, `b` odd, and then swaps `a`, `b` and recurses using
quadratic reciprocity.
## Notations
We define the notation `J(a | b)` for `jacobiSym a b`, localized to `NumberTheorySymbols`.
## Tags
Jacobi symbol, quadratic reciprocity
-/
section Jacobi
/-!
### Definition of the Jacobi symbol
We define the Jacobi symbol $\Bigl(\frac{a}{b}\Bigr)$ for integers `a` and natural numbers `b`
as the product of the Legendre symbols $\Bigl(\frac{a}{p}\Bigr)$, where `p` runs through the
prime divisors (with multiplicity) of `b`, as provided by `b.factors`. This agrees with the
Jacobi symbol when `b` is odd and gives less meaningful values when it is not (e.g., the symbol
is `1` when `b = 0`). This is called `jacobiSym a b`.
We define localized notation (locale `NumberTheorySymbols`) `J(a | b)` for the Jacobi
symbol `jacobiSym a b`.
-/
open Nat ZMod
-- Since we need the fact that the factors are prime, we use `List.pmap`.
/-- The Jacobi symbol of `a` and `b` -/
def jacobiSym (a : ℤ) (b : ℕ) : ℤ :=
(b.factors.pmap (fun p pp => @legendreSym p ⟨pp⟩ a) fun _ pf => prime_of_mem_factors pf).prod
#align jacobi_sym jacobiSym
-- Notation for the Jacobi symbol.
@[inherit_doc]
scoped[NumberTheorySymbols] notation "J(" a " | " b ")" => jacobiSym a b
-- Porting note: Without the following line, Lean expected `|` on several lines, e.g. line 102.
open NumberTheorySymbols
/-!
### Properties of the Jacobi symbol
-/
namespace jacobiSym
/-- The symbol `J(a | 0)` has the value `1`. -/
@[simp]
theorem zero_right (a : ℤ) : J(a | 0) = 1 := by
simp only [jacobiSym, factors_zero, List.prod_nil, List.pmap]
#align jacobi_sym.zero_right jacobiSym.zero_right
/-- The symbol `J(a | 1)` has the value `1`. -/
@[simp]
theorem one_right (a : ℤ) : J(a | 1) = 1 := by
simp only [jacobiSym, factors_one, List.prod_nil, List.pmap]
#align jacobi_sym.one_right jacobiSym.one_right
/-- The Legendre symbol `legendreSym p a` with an integer `a` and a prime number `p`
is the same as the Jacobi symbol `J(a | p)`. -/
theorem legendreSym.to_jacobiSym (p : ℕ) [fp : Fact p.Prime] (a : ℤ) :
legendreSym p a = J(a | p) := by
simp only [jacobiSym, factors_prime fp.1, List.prod_cons, List.prod_nil, mul_one, List.pmap]
#align legendre_sym.to_jacobi_sym jacobiSym.legendreSym.to_jacobiSym
/-- The Jacobi symbol is multiplicative in its second argument. -/
theorem mul_right' (a : ℤ) {b₁ b₂ : ℕ} (hb₁ : b₁ ≠ 0) (hb₂ : b₂ ≠ 0) :
J(a | b₁ * b₂) = J(a | b₁) * J(a | b₂) := by
rw [jacobiSym, ((perm_factors_mul hb₁ hb₂).pmap _).prod_eq, List.pmap_append, List.prod_append]
case h => exact fun p hp => (List.mem_append.mp hp).elim prime_of_mem_factors prime_of_mem_factors
case _ => rfl
#align jacobi_sym.mul_right' jacobiSym.mul_right'
/-- The Jacobi symbol is multiplicative in its second argument. -/
theorem mul_right (a : ℤ) (b₁ b₂ : ℕ) [NeZero b₁] [NeZero b₂] :
J(a | b₁ * b₂) = J(a | b₁) * J(a | b₂) :=
mul_right' a (NeZero.ne b₁) (NeZero.ne b₂)
#align jacobi_sym.mul_right jacobiSym.mul_right
/-- The Jacobi symbol takes only the values `0`, `1` and `-1`. -/
theorem trichotomy (a : ℤ) (b : ℕ) : J(a | b) = 0 ∨ J(a | b) = 1 ∨ J(a | b) = -1 :=
((@SignType.castHom ℤ _ _).toMonoidHom.mrange.copy {0, 1, -1} <| by
rw [Set.pair_comm];
exact (SignType.range_eq SignType.castHom).symm).list_prod_mem
(by
intro _ ha'
rcases List.mem_pmap.mp ha' with ⟨p, hp, rfl⟩
haveI : Fact p.Prime := ⟨prime_of_mem_factors hp⟩
exact quadraticChar_isQuadratic (ZMod p) a)
#align jacobi_sym.trichotomy jacobiSym.trichotomy
/-- The symbol `J(1 | b)` has the value `1`. -/
@[simp]
theorem one_left (b : ℕ) : J(1 | b) = 1 :=
List.prod_eq_one fun z hz => by
let ⟨p, hp, he⟩ := List.mem_pmap.1 hz
-- Porting note: The line 150 was added because Lean does not synthesize the instance
-- `[Fact (Nat.Prime p)]` automatically (it is needed for `legendreSym.at_one`)
letI : Fact p.Prime := ⟨prime_of_mem_factors hp⟩
rw [← he, legendreSym.at_one]
#align jacobi_sym.one_left jacobiSym.one_left
/-- The Jacobi symbol is multiplicative in its first argument. -/
theorem mul_left (a₁ a₂ : ℤ) (b : ℕ) : J(a₁ * a₂ | b) = J(a₁ | b) * J(a₂ | b) := by
simp_rw [jacobiSym, List.pmap_eq_map_attach, legendreSym.mul _ _ _];
exact List.prod_map_mul (α := ℤ) (l := (factors b).attach)
(f := fun x ↦ @legendreSym x {out := prime_of_mem_factors x.2} a₁)
(g := fun x ↦ @legendreSym x {out := prime_of_mem_factors x.2} a₂)
#align jacobi_sym.mul_left jacobiSym.mul_left
/-- The symbol `J(a | b)` vanishes iff `a` and `b` are not coprime (assuming `b ≠ 0`). -/
theorem eq_zero_iff_not_coprime {a : ℤ} {b : ℕ} [NeZero b] : J(a | b) = 0 ↔ a.gcd b ≠ 1 :=
List.prod_eq_zero_iff.trans
(by
rw [List.mem_pmap, Int.gcd_eq_natAbs, Ne, Prime.not_coprime_iff_dvd]
-- Porting note: Initially, `and_assoc'` and `and_comm'` were used on line 164 but they have
-- been deprecated so we replace them with `and_assoc` and `and_comm`
simp_rw [legendreSym.eq_zero_iff _ _, intCast_zmod_eq_zero_iff_dvd,
mem_factors (NeZero.ne b), ← Int.natCast_dvd, Int.natCast_dvd_natCast, exists_prop,
and_assoc, and_comm])
#align jacobi_sym.eq_zero_iff_not_coprime jacobiSym.eq_zero_iff_not_coprime
/-- The symbol `J(a | b)` is nonzero when `a` and `b` are coprime. -/
protected theorem ne_zero {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a | b) ≠ 0 := by
cases' eq_zero_or_neZero b with hb
· rw [hb, zero_right]
exact one_ne_zero
· contrapose! h; exact eq_zero_iff_not_coprime.1 h
#align jacobi_sym.ne_zero jacobiSym.ne_zero
/-- The symbol `J(a | b)` vanishes if and only if `b ≠ 0` and `a` and `b` are not coprime. -/
theorem eq_zero_iff {a : ℤ} {b : ℕ} : J(a | b) = 0 ↔ b ≠ 0 ∧ a.gcd b ≠ 1 :=
⟨fun h => by
rcases eq_or_ne b 0 with hb | hb
· rw [hb, zero_right] at h; cases h
exact ⟨hb, mt jacobiSym.ne_zero <| Classical.not_not.2 h⟩, fun ⟨hb, h⟩ => by
rw [← neZero_iff] at hb; exact eq_zero_iff_not_coprime.2 h⟩
#align jacobi_sym.eq_zero_iff jacobiSym.eq_zero_iff
/-- The symbol `J(0 | b)` vanishes when `b > 1`. -/
theorem zero_left {b : ℕ} (hb : 1 < b) : J(0 | b) = 0 :=
(@eq_zero_iff_not_coprime 0 b ⟨ne_zero_of_lt hb⟩).mpr <| by
rw [Int.gcd_zero_left, Int.natAbs_ofNat]; exact hb.ne'
#align jacobi_sym.zero_left jacobiSym.zero_left
/-- The symbol `J(a | b)` takes the value `1` or `-1` if `a` and `b` are coprime. -/
theorem eq_one_or_neg_one {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a | b) = 1 ∨ J(a | b) = -1 :=
(trichotomy a b).resolve_left <| jacobiSym.ne_zero h
#align jacobi_sym.eq_one_or_neg_one jacobiSym.eq_one_or_neg_one
/-- We have that `J(a^e | b) = J(a | b)^e`. -/
theorem pow_left (a : ℤ) (e b : ℕ) : J(a ^ e | b) = J(a | b) ^ e :=
Nat.recOn e (by rw [_root_.pow_zero, _root_.pow_zero, one_left]) fun _ ih => by
rw [_root_.pow_succ, _root_.pow_succ, mul_left, ih]
#align jacobi_sym.pow_left jacobiSym.pow_left
/-- We have that `J(a | b^e) = J(a | b)^e`. -/
theorem pow_right (a : ℤ) (b e : ℕ) : J(a | b ^ e) = J(a | b) ^ e := by
induction' e with e ih
· rw [Nat.pow_zero, _root_.pow_zero, one_right]
· cases' eq_zero_or_neZero b with hb
· rw [hb, zero_pow e.succ_ne_zero, zero_right, one_pow]
· rw [_root_.pow_succ, _root_.pow_succ, mul_right, ih]
#align jacobi_sym.pow_right jacobiSym.pow_right
/-- The square of `J(a | b)` is `1` when `a` and `b` are coprime. -/
theorem sq_one {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a | b) ^ 2 = 1 := by
cases' eq_one_or_neg_one h with h₁ h₁ <;> rw [h₁] <;> rfl
#align jacobi_sym.sq_one jacobiSym.sq_one
/-- The symbol `J(a^2 | b)` is `1` when `a` and `b` are coprime. -/
theorem sq_one' {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a ^ 2 | b) = 1 := by rw [pow_left, sq_one h]
#align jacobi_sym.sq_one' jacobiSym.sq_one'
/-- The symbol `J(a | b)` depends only on `a` mod `b`. -/
theorem mod_left (a : ℤ) (b : ℕ) : J(a | b) = J(a % b | b) :=
congr_arg List.prod <|
List.pmap_congr _
(by
-- Porting note: Lean does not synthesize the instance [Fact (Nat.Prime p)] automatically
-- (it is needed for `legendreSym.mod` on line 227). Thus, we name the hypothesis
-- `Nat.Prime p` explicitly on line 224 and prove `Fact (Nat.Prime p)` on line 225.
rintro p hp _ h₂
letI : Fact p.Prime := ⟨h₂⟩
conv_rhs =>
rw [legendreSym.mod, Int.emod_emod_of_dvd _ (Int.natCast_dvd_natCast.2 <|
dvd_of_mem_factors hp), ← legendreSym.mod])
#align jacobi_sym.mod_left jacobiSym.mod_left
/-- The symbol `J(a | b)` depends only on `a` mod `b`. -/
theorem mod_left' {a₁ a₂ : ℤ} {b : ℕ} (h : a₁ % b = a₂ % b) : J(a₁ | b) = J(a₂ | b) := by
rw [mod_left, h, ← mod_left]
#align jacobi_sym.mod_left' jacobiSym.mod_left'
/-- If `p` is prime, `J(a | p) = -1` and `p` divides `x^2 - a*y^2`, then `p` must divide
`x` and `y`. -/
theorem prime_dvd_of_eq_neg_one {p : ℕ} [Fact p.Prime] {a : ℤ} (h : J(a | p) = -1) {x y : ℤ}
(hxy : ↑p ∣ (x ^ 2 - a * y ^ 2 : ℤ)) : ↑p ∣ x ∧ ↑p ∣ y := by
rw [← legendreSym.to_jacobiSym] at h
exact legendreSym.prime_dvd_of_eq_neg_one h hxy
#align jacobi_sym.prime_dvd_of_eq_neg_one jacobiSym.prime_dvd_of_eq_neg_one
/-- We can pull out a product over a list in the first argument of the Jacobi symbol. -/
theorem list_prod_left {l : List ℤ} {n : ℕ} : J(l.prod | n) = (l.map fun a => J(a | n)).prod := by
induction' l with n l' ih
· simp only [List.prod_nil, List.map_nil, one_left]
· rw [List.map, List.prod_cons, List.prod_cons, mul_left, ih]
#align jacobi_sym.list_prod_left jacobiSym.list_prod_left
/-- We can pull out a product over a list in the second argument of the Jacobi symbol. -/
theorem list_prod_right {a : ℤ} {l : List ℕ} (hl : ∀ n ∈ l, n ≠ 0) :
J(a | l.prod) = (l.map fun n => J(a | n)).prod := by
induction' l with n l' ih
· simp only [List.prod_nil, one_right, List.map_nil]
· have hn := hl n (List.mem_cons_self n l')
-- `n ≠ 0`
have hl' := List.prod_ne_zero fun hf => hl 0 (List.mem_cons_of_mem _ hf) rfl
-- `l'.prod ≠ 0`
have h := fun m hm => hl m (List.mem_cons_of_mem _ hm)
-- `∀ (m : ℕ), m ∈ l' → m ≠ 0`
rw [List.map, List.prod_cons, List.prod_cons, mul_right' a hn hl', ih h]
#align jacobi_sym.list_prod_right jacobiSym.list_prod_right
/-- If `J(a | n) = -1`, then `n` has a prime divisor `p` such that `J(a | p) = -1`. -/
theorem eq_neg_one_at_prime_divisor_of_eq_neg_one {a : ℤ} {n : ℕ} (h : J(a | n) = -1) :
∃ p : ℕ, p.Prime ∧ p ∣ n ∧ J(a | p) = -1 := by
have hn₀ : n ≠ 0 := by
rintro rfl
rw [zero_right, eq_neg_self_iff] at h
exact one_ne_zero h
have hf₀ : ∀ p ∈ n.factors, p ≠ 0 := fun p hp => (Nat.pos_of_mem_factors hp).ne.symm
rw [← Nat.prod_factors hn₀, list_prod_right hf₀] at h
obtain ⟨p, hmem, hj⟩ := List.mem_map.mp (List.neg_one_mem_of_prod_eq_neg_one h)
exact ⟨p, Nat.prime_of_mem_factors hmem, Nat.dvd_of_mem_factors hmem, hj⟩
#align jacobi_sym.eq_neg_one_at_prime_divisor_of_eq_neg_one jacobiSym.eq_neg_one_at_prime_divisor_of_eq_neg_one
end jacobiSym
namespace ZMod
open jacobiSym
/-- If `J(a | b)` is `-1`, then `a` is not a square modulo `b`. -/
theorem nonsquare_of_jacobiSym_eq_neg_one {a : ℤ} {b : ℕ} (h : J(a | b) = -1) :
¬IsSquare (a : ZMod b) := fun ⟨r, ha⟩ => by
rw [← r.coe_valMinAbs, ← Int.cast_mul, intCast_eq_intCast_iff', ← sq] at ha
apply (by norm_num : ¬(0 : ℤ) ≤ -1)
rw [← h, mod_left, ha, ← mod_left, pow_left]
apply sq_nonneg
#align zmod.nonsquare_of_jacobi_sym_eq_neg_one ZMod.nonsquare_of_jacobiSym_eq_neg_one
/-- If `p` is prime, then `J(a | p)` is `-1` iff `a` is not a square modulo `p`. -/
| Mathlib/NumberTheory/LegendreSymbol/JacobiSymbol.lean | 308 | 311 | theorem nonsquare_iff_jacobiSym_eq_neg_one {a : ℤ} {p : ℕ} [Fact p.Prime] :
J(a | p) = -1 ↔ ¬IsSquare (a : ZMod p) := by |
rw [← legendreSym.to_jacobiSym];
exact legendreSym.eq_neg_one_iff p
|
/-
Copyright (c) 2021 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
[`data.finset.sym`@`98e83c3d541c77cdb7da20d79611a780ff8e7d90`..`02ba8949f486ebecf93fe7460f1ed0564b5e442c`](https://leanprover-community.github.io/mathlib-port-status/file/data/finset/sym?range=98e83c3d541c77cdb7da20d79611a780ff8e7d90..02ba8949f486ebecf93fe7460f1ed0564b5e442c)
-/
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Fintype.Vector
import Mathlib.Data.Multiset.Sym
#align_import data.finset.sym from "leanprover-community/mathlib"@"02ba8949f486ebecf93fe7460f1ed0564b5e442c"
/-!
# Symmetric powers of a finset
This file defines the symmetric powers of a finset as `Finset (Sym α n)` and `Finset (Sym2 α)`.
## Main declarations
* `Finset.sym`: The symmetric power of a finset. `s.sym n` is all the multisets of cardinality `n`
whose elements are in `s`.
* `Finset.sym2`: The symmetric square of a finset. `s.sym2` is all the pairs whose elements are in
`s`.
* A `Fintype (Sym2 α)` instance that does not require `DecidableEq α`.
## TODO
`Finset.sym` forms a Galois connection between `Finset α` and `Finset (Sym α n)`. Similar for
`Finset.sym2`.
-/
namespace Finset
variable {α : Type*}
/-- `s.sym2` is the finset of all unordered pairs of elements from `s`.
It is the image of `s ×ˢ s` under the quotient `α × α → Sym2 α`. -/
@[simps]
protected def sym2 (s : Finset α) : Finset (Sym2 α) := ⟨s.1.sym2, s.2.sym2⟩
#align finset.sym2 Finset.sym2
section
variable {s t : Finset α} {a b : α}
theorem mk_mem_sym2_iff : s(a, b) ∈ s.sym2 ↔ a ∈ s ∧ b ∈ s := by
rw [mem_mk, sym2_val, Multiset.mk_mem_sym2_iff, mem_mk, mem_mk]
#align finset.mk_mem_sym2_iff Finset.mk_mem_sym2_iff
@[simp]
theorem mem_sym2_iff {m : Sym2 α} : m ∈ s.sym2 ↔ ∀ a ∈ m, a ∈ s := by
rw [mem_mk, sym2_val, Multiset.mem_sym2_iff]
simp only [mem_val]
#align finset.mem_sym2_iff Finset.mem_sym2_iff
instance _root_.Sym2.instFintype [Fintype α] : Fintype (Sym2 α) where
elems := Finset.univ.sym2
complete := fun x ↦ by rw [mem_sym2_iff]; exact (fun a _ ↦ mem_univ a)
-- Note(kmill): Using a default argument to make this simp lemma more general.
@[simp]
theorem sym2_univ [Fintype α] (inst : Fintype (Sym2 α) := Sym2.instFintype) :
(univ : Finset α).sym2 = univ := by
ext
simp only [mem_sym2_iff, mem_univ, implies_true]
#align finset.sym2_univ Finset.sym2_univ
@[simp, mono]
theorem sym2_mono (h : s ⊆ t) : s.sym2 ⊆ t.sym2 := by
rw [← val_le_iff, sym2_val, sym2_val]
apply Multiset.sym2_mono
rwa [val_le_iff]
#align finset.sym2_mono Finset.sym2_mono
theorem monotone_sym2 : Monotone (Finset.sym2 : Finset α → _) := fun _ _ => sym2_mono
theorem injective_sym2 : Function.Injective (Finset.sym2 : Finset α → _) := by
intro s t h
ext x
simpa using congr(s(x, x) ∈ $h)
theorem strictMono_sym2 : StrictMono (Finset.sym2 : Finset α → _) :=
monotone_sym2.strictMono_of_injective injective_sym2
theorem sym2_toFinset [DecidableEq α] (m : Multiset α) :
m.toFinset.sym2 = m.sym2.toFinset := by
ext z
refine z.ind fun x y ↦ ?_
simp only [mk_mem_sym2_iff, Multiset.mem_toFinset, Multiset.mk_mem_sym2_iff]
@[simp]
theorem sym2_empty : (∅ : Finset α).sym2 = ∅ := rfl
#align finset.sym2_empty Finset.sym2_empty
@[simp]
theorem sym2_eq_empty : s.sym2 = ∅ ↔ s = ∅ := by
rw [← val_eq_zero, sym2_val, Multiset.sym2_eq_zero_iff, val_eq_zero]
#align finset.sym2_eq_empty Finset.sym2_eq_empty
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem sym2_nonempty : s.sym2.Nonempty ↔ s.Nonempty := by
rw [← not_iff_not]
simp_rw [not_nonempty_iff_eq_empty, sym2_eq_empty]
#align finset.sym2_nonempty Finset.sym2_nonempty
protected alias ⟨_, Nonempty.sym2⟩ := sym2_nonempty
#align finset.nonempty.sym2 Finset.Nonempty.sym2
@[simp]
theorem sym2_singleton (a : α) : ({a} : Finset α).sym2 = {Sym2.diag a} := rfl
#align finset.sym2_singleton Finset.sym2_singleton
/-- Finset **stars and bars** for the case `n = 2`. -/
theorem card_sym2 (s : Finset α) : s.sym2.card = Nat.choose (s.card + 1) 2 := by
rw [card_def, sym2_val, Multiset.card_sym2, ← card_def]
#align finset.card_sym2 Finset.card_sym2
end
variable [DecidableEq α] {s t : Finset α} {a b : α}
theorem sym2_eq_image : s.sym2 = (s ×ˢ s).image Sym2.mk := by
ext z
refine z.ind fun x y ↦ ?_
rw [mk_mem_sym2_iff, mem_image]
constructor
· intro h
use (x, y)
simp only [mem_product, h, and_self, true_and]
· rintro ⟨⟨a, b⟩, h⟩
simp only [mem_product, Sym2.eq_iff] at h
obtain ⟨h, (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩)⟩ := h
<;> simp [h]
theorem isDiag_mk_of_mem_diag {a : α × α} (h : a ∈ s.diag) : (Sym2.mk a).IsDiag :=
(Sym2.isDiag_iff_proj_eq _).2 (mem_diag.1 h).2
#align finset.is_diag_mk_of_mem_diag Finset.isDiag_mk_of_mem_diag
theorem not_isDiag_mk_of_mem_offDiag {a : α × α} (h : a ∈ s.offDiag) :
¬ (Sym2.mk a).IsDiag := by
rw [Sym2.isDiag_iff_proj_eq]
exact (mem_offDiag.1 h).2.2
#align finset.not_is_diag_mk_of_mem_off_diag Finset.not_isDiag_mk_of_mem_offDiag
section Sym2
variable {m : Sym2 α}
-- Porting note: add this lemma and remove simp in the next lemma since simpNF lint
-- warns that its LHS is not in normal form
@[simp]
theorem diag_mem_sym2_mem_iff : (∀ b, b ∈ Sym2.diag a → b ∈ s) ↔ a ∈ s := by
rw [← mem_sym2_iff]
exact mk_mem_sym2_iff.trans <| and_self_iff
| Mathlib/Data/Finset/Sym.lean | 156 | 156 | theorem diag_mem_sym2_iff : Sym2.diag a ∈ s.sym2 ↔ a ∈ s := by | simp [diag_mem_sym2_mem_iff]
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.Algebra.Polynomial.Splits
import Mathlib.RingTheory.Adjoin.Basic
import Mathlib.RingTheory.AdjoinRoot
#align_import ring_theory.adjoin.field from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23"
/-!
# Adjoining elements to a field
Some lemmas on the ring generated by adjoining an element to a field.
## Main statements
* `lift_of_splits`: If `K` and `L` are field extensions of `F` and we have `s : Finset K` such that
the minimal polynomial of each `x ∈ s` splits in `L` then `Algebra.adjoin F s` embeds in `L`.
-/
noncomputable section
open Polynomial
section Embeddings
variable (F : Type*) [Field F]
open AdjoinRoot in
/-- If `p` is the minimal polynomial of `a` over `F` then `F[a] ≃ₐ[F] F[x]/(p)` -/
def AlgEquiv.adjoinSingletonEquivAdjoinRootMinpoly {R : Type*} [CommRing R] [Algebra F R] (x : R) :
Algebra.adjoin F ({x} : Set R) ≃ₐ[F] AdjoinRoot (minpoly F x) :=
AlgEquiv.symm <| AlgEquiv.ofBijective (Minpoly.toAdjoin F x) <| by
refine ⟨(injective_iff_map_eq_zero _).2 fun P₁ hP₁ ↦ ?_, Minpoly.toAdjoin.surjective F x⟩
obtain ⟨P, rfl⟩ := mk_surjective P₁
refine AdjoinRoot.mk_eq_zero.mpr (minpoly.dvd F x ?_)
rwa [Minpoly.toAdjoin_apply', liftHom_mk, ← Subalgebra.coe_eq_zero, aeval_subalgebra_coe] at hP₁
#align alg_equiv.adjoin_singleton_equiv_adjoin_root_minpoly AlgEquiv.adjoinSingletonEquivAdjoinRootMinpoly
/-- Produce an algebra homomorphism `Adjoin R {x} →ₐ[R] T` sending `x` to
a root of `x`'s minimal polynomial in `T`. -/
noncomputable def Algebra.adjoin.liftSingleton {S T : Type*}
[CommRing S] [CommRing T] [Algebra F S] [Algebra F T]
(x : S) (y : T) (h : aeval y (minpoly F x) = 0) :
Algebra.adjoin F {x} →ₐ[F] T :=
(AdjoinRoot.liftHom _ y h).comp (AlgEquiv.adjoinSingletonEquivAdjoinRootMinpoly F x).toAlgHom
open Finset
/-- If `K` and `L` are field extensions of `F` and we have `s : Finset K` such that
the minimal polynomial of each `x ∈ s` splits in `L` then `Algebra.adjoin F s` embeds in `L`. -/
theorem Polynomial.lift_of_splits {F K L : Type*} [Field F] [Field K] [Field L] [Algebra F K]
[Algebra F L] (s : Finset K) : (∀ x ∈ s, IsIntegral F x ∧
Splits (algebraMap F L) (minpoly F x)) → Nonempty (Algebra.adjoin F (s : Set K) →ₐ[F] L) := by
classical
refine Finset.induction_on s (fun _ ↦ ?_) fun a s _ ih H ↦ ?_
· rw [coe_empty, Algebra.adjoin_empty]
exact ⟨(Algebra.ofId F L).comp (Algebra.botEquiv F K)⟩
rw [forall_mem_insert] at H
rcases H with ⟨⟨H1, H2⟩, H3⟩
cases' ih H3 with f
choose H3 _ using H3
rw [coe_insert, Set.insert_eq, Set.union_comm, Algebra.adjoin_union_eq_adjoin_adjoin]
set Ks := Algebra.adjoin F (s : Set K)
haveI : FiniteDimensional F Ks := ((Submodule.fg_iff_finiteDimensional _).1
(fg_adjoin_of_finite s.finite_toSet H3)).of_subalgebra_toSubmodule
letI := fieldOfFiniteDimensional F Ks
letI := (f : Ks →+* L).toAlgebra
have H5 : IsIntegral Ks a := H1.tower_top
have H6 : (minpoly Ks a).Splits (algebraMap Ks L) := by
refine splits_of_splits_of_dvd _ ((minpoly.monic H1).map (algebraMap F Ks)).ne_zero
((splits_map_iff _ _).2 ?_) (minpoly.dvd _ _ ?_)
· rw [← IsScalarTower.algebraMap_eq]
exact H2
· rw [Polynomial.aeval_map_algebraMap, minpoly.aeval]
obtain ⟨y, hy⟩ := Polynomial.exists_root_of_splits _ H6 (minpoly.degree_pos H5).ne'
exact ⟨Subalgebra.ofRestrictScalars F _ <| Algebra.adjoin.liftSingleton Ks a y hy⟩
#align lift_of_splits Polynomial.lift_of_splits
end Embeddings
variable {R K L M : Type*} [CommRing R] [Field K] [Field L] [CommRing M] [Algebra R K] [Algebra R L]
[Algebra R M] {x : L} (int : IsIntegral R x) (h : Splits (algebraMap R K) (minpoly R x))
theorem IsIntegral.mem_range_algHom_of_minpoly_splits (f : K →ₐ[R] L) : x ∈ f.range :=
show x ∈ Set.range f from Set.image_subset_range _ _ <| by
rw [image_rootSet h f, mem_rootSet']
exact ⟨((minpoly.monic int).map _).ne_zero, minpoly.aeval R x⟩
theorem IsIntegral.mem_range_algebraMap_of_minpoly_splits [Algebra K L] [IsScalarTower R K L] :
x ∈ (algebraMap K L).range :=
int.mem_range_algHom_of_minpoly_splits h (IsScalarTower.toAlgHom R K L)
variable [Algebra K M] [IsScalarTower R K M] {x : M} (int : IsIntegral R x)
theorem IsIntegral.minpoly_splits_tower_top' {f : K →+* L}
(h : Splits (f.comp <| algebraMap R K) (minpoly R x)) :
Splits f (minpoly K x) :=
splits_of_splits_of_dvd _ ((minpoly.monic int).map _).ne_zero
((splits_map_iff _ _).mpr h) (minpoly.dvd_map_of_isScalarTower R _ x)
| Mathlib/RingTheory/Adjoin/Field.lean | 106 | 110 | theorem IsIntegral.minpoly_splits_tower_top [Algebra K L] [IsScalarTower R K L]
(h : Splits (algebraMap R L) (minpoly R x)) :
Splits (algebraMap K L) (minpoly K x) := by |
rw [IsScalarTower.algebraMap_eq R K L] at h
exact int.minpoly_splits_tower_top' h
|
/-
Copyright (c) 2018 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Mario Carneiro, Simon Hudon
-/
import Mathlib.Data.Fin.Fin2
import Mathlib.Logic.Function.Basic
import Mathlib.Tactic.Common
#align_import data.typevec from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4"
/-!
# Tuples of types, and their categorical structure.
## Features
* `TypeVec n` - n-tuples of types
* `α ⟹ β` - n-tuples of maps
* `f ⊚ g` - composition
Also, support functions for operating with n-tuples of types, such as:
* `append1 α β` - append type `β` to n-tuple `α` to obtain an (n+1)-tuple
* `drop α` - drops the last element of an (n+1)-tuple
* `last α` - returns the last element of an (n+1)-tuple
* `appendFun f g` - appends a function g to an n-tuple of functions
* `dropFun f` - drops the last function from an n+1-tuple
* `lastFun f` - returns the last function of a tuple.
Since e.g. `append1 α.drop α.last` is propositionally equal to `α` but not definitionally equal
to it, we need support functions and lemmas to mediate between constructions.
-/
universe u v w
/-- n-tuples of types, as a category -/
@[pp_with_univ]
def TypeVec (n : ℕ) :=
Fin2 n → Type*
#align typevec TypeVec
instance {n} : Inhabited (TypeVec.{u} n) :=
⟨fun _ => PUnit⟩
namespace TypeVec
variable {n : ℕ}
/-- arrow in the category of `TypeVec` -/
def Arrow (α β : TypeVec n) :=
∀ i : Fin2 n, α i → β i
#align typevec.arrow TypeVec.Arrow
@[inherit_doc] scoped[MvFunctor] infixl:40 " ⟹ " => TypeVec.Arrow
open MvFunctor
/-- Extensionality for arrows -/
@[ext]
theorem Arrow.ext {α β : TypeVec n} (f g : α ⟹ β) :
(∀ i, f i = g i) → f = g := by
intro h; funext i; apply h
instance Arrow.inhabited (α β : TypeVec n) [∀ i, Inhabited (β i)] : Inhabited (α ⟹ β) :=
⟨fun _ _ => default⟩
#align typevec.arrow.inhabited TypeVec.Arrow.inhabited
/-- identity of arrow composition -/
def id {α : TypeVec n} : α ⟹ α := fun _ x => x
#align typevec.id TypeVec.id
/-- arrow composition in the category of `TypeVec` -/
def comp {α β γ : TypeVec n} (g : β ⟹ γ) (f : α ⟹ β) : α ⟹ γ := fun i x => g i (f i x)
#align typevec.comp TypeVec.comp
@[inherit_doc] scoped[MvFunctor] infixr:80 " ⊚ " => TypeVec.comp -- type as \oo
@[simp]
theorem id_comp {α β : TypeVec n} (f : α ⟹ β) : id ⊚ f = f :=
rfl
#align typevec.id_comp TypeVec.id_comp
@[simp]
theorem comp_id {α β : TypeVec n} (f : α ⟹ β) : f ⊚ id = f :=
rfl
#align typevec.comp_id TypeVec.comp_id
theorem comp_assoc {α β γ δ : TypeVec n} (h : γ ⟹ δ) (g : β ⟹ γ) (f : α ⟹ β) :
(h ⊚ g) ⊚ f = h ⊚ g ⊚ f :=
rfl
#align typevec.comp_assoc TypeVec.comp_assoc
/-- Support for extending a `TypeVec` by one element. -/
def append1 (α : TypeVec n) (β : Type*) : TypeVec (n + 1)
| Fin2.fs i => α i
| Fin2.fz => β
#align typevec.append1 TypeVec.append1
@[inherit_doc] infixl:67 " ::: " => append1
/-- retain only a `n-length` prefix of the argument -/
def drop (α : TypeVec.{u} (n + 1)) : TypeVec n := fun i => α i.fs
#align typevec.drop TypeVec.drop
/-- take the last value of a `(n+1)-length` vector -/
def last (α : TypeVec.{u} (n + 1)) : Type _ :=
α Fin2.fz
#align typevec.last TypeVec.last
instance last.inhabited (α : TypeVec (n + 1)) [Inhabited (α Fin2.fz)] : Inhabited (last α) :=
⟨show α Fin2.fz from default⟩
#align typevec.last.inhabited TypeVec.last.inhabited
theorem drop_append1 {α : TypeVec n} {β : Type*} {i : Fin2 n} : drop (append1 α β) i = α i :=
rfl
#align typevec.drop_append1 TypeVec.drop_append1
theorem drop_append1' {α : TypeVec n} {β : Type*} : drop (append1 α β) = α :=
funext fun _ => drop_append1
#align typevec.drop_append1' TypeVec.drop_append1'
theorem last_append1 {α : TypeVec n} {β : Type*} : last (append1 α β) = β :=
rfl
#align typevec.last_append1 TypeVec.last_append1
@[simp]
theorem append1_drop_last (α : TypeVec (n + 1)) : append1 (drop α) (last α) = α :=
funext fun i => by cases i <;> rfl
#align typevec.append1_drop_last TypeVec.append1_drop_last
/-- cases on `(n+1)-length` vectors -/
@[elab_as_elim]
def append1Cases {C : TypeVec (n + 1) → Sort u} (H : ∀ α β, C (append1 α β)) (γ) : C γ := by
rw [← @append1_drop_last _ γ]; apply H
#align typevec.append1_cases TypeVec.append1Cases
@[simp]
theorem append1_cases_append1 {C : TypeVec (n + 1) → Sort u} (H : ∀ α β, C (append1 α β)) (α β) :
@append1Cases _ C H (append1 α β) = H α β :=
rfl
#align typevec.append1_cases_append1 TypeVec.append1_cases_append1
/-- append an arrow and a function for arbitrary source and target type vectors -/
def splitFun {α α' : TypeVec (n + 1)} (f : drop α ⟹ drop α') (g : last α → last α') : α ⟹ α'
| Fin2.fs i => f i
| Fin2.fz => g
#align typevec.split_fun TypeVec.splitFun
/-- append an arrow and a function as well as their respective source and target types / typevecs -/
def appendFun {α α' : TypeVec n} {β β' : Type*} (f : α ⟹ α') (g : β → β') :
append1 α β ⟹ append1 α' β' :=
splitFun f g
#align typevec.append_fun TypeVec.appendFun
@[inherit_doc] infixl:0 " ::: " => appendFun
/-- split off the prefix of an arrow -/
def dropFun {α β : TypeVec (n + 1)} (f : α ⟹ β) : drop α ⟹ drop β := fun i => f i.fs
#align typevec.drop_fun TypeVec.dropFun
/-- split off the last function of an arrow -/
def lastFun {α β : TypeVec (n + 1)} (f : α ⟹ β) : last α → last β :=
f Fin2.fz
#align typevec.last_fun TypeVec.lastFun
-- Porting note: Lean wasn't able to infer the motive in term mode
/-- arrow in the category of `0-length` vectors -/
def nilFun {α : TypeVec 0} {β : TypeVec 0} : α ⟹ β := fun i => by apply Fin2.elim0 i
#align typevec.nil_fun TypeVec.nilFun
theorem eq_of_drop_last_eq {α β : TypeVec (n + 1)} {f g : α ⟹ β} (h₀ : dropFun f = dropFun g)
(h₁ : lastFun f = lastFun g) : f = g := by
-- Porting note: FIXME: congr_fun h₀ <;> ext1 ⟨⟩ <;> apply_assumption
refine funext (fun x => ?_)
cases x
· apply h₁
· apply congr_fun h₀
#align typevec.eq_of_drop_last_eq TypeVec.eq_of_drop_last_eq
@[simp]
theorem dropFun_splitFun {α α' : TypeVec (n + 1)} (f : drop α ⟹ drop α') (g : last α → last α') :
dropFun (splitFun f g) = f :=
rfl
#align typevec.drop_fun_split_fun TypeVec.dropFun_splitFun
/-- turn an equality into an arrow -/
def Arrow.mp {α β : TypeVec n} (h : α = β) : α ⟹ β
| _ => Eq.mp (congr_fun h _)
#align typevec.arrow.mp TypeVec.Arrow.mp
/-- turn an equality into an arrow, with reverse direction -/
def Arrow.mpr {α β : TypeVec n} (h : α = β) : β ⟹ α
| _ => Eq.mpr (congr_fun h _)
#align typevec.arrow.mpr TypeVec.Arrow.mpr
/-- decompose a vector into its prefix appended with its last element -/
def toAppend1DropLast {α : TypeVec (n + 1)} : α ⟹ (drop α ::: last α) :=
Arrow.mpr (append1_drop_last _)
#align typevec.to_append1_drop_last TypeVec.toAppend1DropLast
/-- stitch two bits of a vector back together -/
def fromAppend1DropLast {α : TypeVec (n + 1)} : (drop α ::: last α) ⟹ α :=
Arrow.mp (append1_drop_last _)
#align typevec.from_append1_drop_last TypeVec.fromAppend1DropLast
@[simp]
theorem lastFun_splitFun {α α' : TypeVec (n + 1)} (f : drop α ⟹ drop α') (g : last α → last α') :
lastFun (splitFun f g) = g :=
rfl
#align typevec.last_fun_split_fun TypeVec.lastFun_splitFun
@[simp]
theorem dropFun_appendFun {α α' : TypeVec n} {β β' : Type*} (f : α ⟹ α') (g : β → β') :
dropFun (f ::: g) = f :=
rfl
#align typevec.drop_fun_append_fun TypeVec.dropFun_appendFun
@[simp]
theorem lastFun_appendFun {α α' : TypeVec n} {β β' : Type*} (f : α ⟹ α') (g : β → β') :
lastFun (f ::: g) = g :=
rfl
#align typevec.last_fun_append_fun TypeVec.lastFun_appendFun
theorem split_dropFun_lastFun {α α' : TypeVec (n + 1)} (f : α ⟹ α') :
splitFun (dropFun f) (lastFun f) = f :=
eq_of_drop_last_eq rfl rfl
#align typevec.split_drop_fun_last_fun TypeVec.split_dropFun_lastFun
theorem splitFun_inj {α α' : TypeVec (n + 1)} {f f' : drop α ⟹ drop α'} {g g' : last α → last α'}
(H : splitFun f g = splitFun f' g') : f = f' ∧ g = g' := by
rw [← dropFun_splitFun f g, H, ← lastFun_splitFun f g, H]; simp
#align typevec.split_fun_inj TypeVec.splitFun_inj
theorem appendFun_inj {α α' : TypeVec n} {β β' : Type*} {f f' : α ⟹ α'} {g g' : β → β'} :
(f ::: g : (α ::: β) ⟹ _) = (f' ::: g' : (α ::: β) ⟹ _)
→ f = f' ∧ g = g' :=
splitFun_inj
#align typevec.append_fun_inj TypeVec.appendFun_inj
theorem splitFun_comp {α₀ α₁ α₂ : TypeVec (n + 1)} (f₀ : drop α₀ ⟹ drop α₁)
(f₁ : drop α₁ ⟹ drop α₂) (g₀ : last α₀ → last α₁) (g₁ : last α₁ → last α₂) :
splitFun (f₁ ⊚ f₀) (g₁ ∘ g₀) = splitFun f₁ g₁ ⊚ splitFun f₀ g₀ :=
eq_of_drop_last_eq rfl rfl
#align typevec.split_fun_comp TypeVec.splitFun_comp
theorem appendFun_comp_splitFun {α γ : TypeVec n} {β δ : Type*} {ε : TypeVec (n + 1)}
(f₀ : drop ε ⟹ α) (f₁ : α ⟹ γ) (g₀ : last ε → β) (g₁ : β → δ) :
appendFun f₁ g₁ ⊚ splitFun f₀ g₀ = splitFun (α' := γ.append1 δ) (f₁ ⊚ f₀) (g₁ ∘ g₀) :=
(splitFun_comp _ _ _ _).symm
#align typevec.append_fun_comp_split_fun TypeVec.appendFun_comp_splitFun
theorem appendFun_comp {α₀ α₁ α₂ : TypeVec n}
{β₀ β₁ β₂ : Type*}
(f₀ : α₀ ⟹ α₁) (f₁ : α₁ ⟹ α₂)
(g₀ : β₀ → β₁) (g₁ : β₁ → β₂) :
(f₁ ⊚ f₀ ::: g₁ ∘ g₀) = (f₁ ::: g₁) ⊚ (f₀ ::: g₀) :=
eq_of_drop_last_eq rfl rfl
#align typevec.append_fun_comp TypeVec.appendFun_comp
theorem appendFun_comp' {α₀ α₁ α₂ : TypeVec n} {β₀ β₁ β₂ : Type*}
(f₀ : α₀ ⟹ α₁) (f₁ : α₁ ⟹ α₂) (g₀ : β₀ → β₁) (g₁ : β₁ → β₂) :
(f₁ ::: g₁) ⊚ (f₀ ::: g₀) = (f₁ ⊚ f₀ ::: g₁ ∘ g₀) :=
eq_of_drop_last_eq rfl rfl
#align typevec.append_fun_comp' TypeVec.appendFun_comp'
theorem nilFun_comp {α₀ : TypeVec 0} (f₀ : α₀ ⟹ Fin2.elim0) : nilFun ⊚ f₀ = f₀ :=
funext fun x => by apply Fin2.elim0 x -- Porting note: `by apply` is necessary?
#align typevec.nil_fun_comp TypeVec.nilFun_comp
theorem appendFun_comp_id {α : TypeVec n} {β₀ β₁ β₂ : Type u} (g₀ : β₀ → β₁) (g₁ : β₁ → β₂) :
(@id _ α ::: g₁ ∘ g₀) = (id ::: g₁) ⊚ (id ::: g₀) :=
eq_of_drop_last_eq rfl rfl
#align typevec.append_fun_comp_id TypeVec.appendFun_comp_id
@[simp]
theorem dropFun_comp {α₀ α₁ α₂ : TypeVec (n + 1)} (f₀ : α₀ ⟹ α₁) (f₁ : α₁ ⟹ α₂) :
dropFun (f₁ ⊚ f₀) = dropFun f₁ ⊚ dropFun f₀ :=
rfl
#align typevec.drop_fun_comp TypeVec.dropFun_comp
@[simp]
theorem lastFun_comp {α₀ α₁ α₂ : TypeVec (n + 1)} (f₀ : α₀ ⟹ α₁) (f₁ : α₁ ⟹ α₂) :
lastFun (f₁ ⊚ f₀) = lastFun f₁ ∘ lastFun f₀ :=
rfl
#align typevec.last_fun_comp TypeVec.lastFun_comp
theorem appendFun_aux {α α' : TypeVec n} {β β' : Type*} (f : (α ::: β) ⟹ (α' ::: β')) :
(dropFun f ::: lastFun f) = f :=
eq_of_drop_last_eq rfl rfl
#align typevec.append_fun_aux TypeVec.appendFun_aux
theorem appendFun_id_id {α : TypeVec n} {β : Type*} :
(@TypeVec.id n α ::: @_root_.id β) = TypeVec.id :=
eq_of_drop_last_eq rfl rfl
#align typevec.append_fun_id_id TypeVec.appendFun_id_id
instance subsingleton0 : Subsingleton (TypeVec 0) :=
⟨fun a b => funext fun a => by apply Fin2.elim0 a⟩ -- Porting note: `by apply` necessary?
#align typevec.subsingleton0 TypeVec.subsingleton0
-- Porting note: `simp` attribute `TypeVec` moved to file `Tactic/Attr/Register.lean`
/-- cases distinction for 0-length type vector -/
protected def casesNil {β : TypeVec 0 → Sort*} (f : β Fin2.elim0) : ∀ v, β v :=
fun v => cast (by congr; funext i; cases i) f
#align typevec.cases_nil TypeVec.casesNil
/-- cases distinction for (n+1)-length type vector -/
protected def casesCons (n : ℕ) {β : TypeVec (n + 1) → Sort*}
(f : ∀ (t) (v : TypeVec n), β (v ::: t)) :
∀ v, β v :=
fun v : TypeVec (n + 1) => cast (by simp) (f v.last v.drop)
#align typevec.cases_cons TypeVec.casesCons
protected theorem casesNil_append1 {β : TypeVec 0 → Sort*} (f : β Fin2.elim0) :
TypeVec.casesNil f Fin2.elim0 = f :=
rfl
#align typevec.cases_nil_append1 TypeVec.casesNil_append1
protected theorem casesCons_append1 (n : ℕ) {β : TypeVec (n + 1) → Sort*}
(f : ∀ (t) (v : TypeVec n), β (v ::: t)) (v : TypeVec n) (α) :
TypeVec.casesCons n f (v ::: α) = f α v :=
rfl
#align typevec.cases_cons_append1 TypeVec.casesCons_append1
/-- cases distinction for an arrow in the category of 0-length type vectors -/
def typevecCasesNil₃ {β : ∀ v v' : TypeVec 0, v ⟹ v' → Sort*}
(f : β Fin2.elim0 Fin2.elim0 nilFun) :
∀ v v' fs, β v v' fs := fun v v' fs => by
refine cast ?_ f
have eq₁ : v = Fin2.elim0 := by funext i; contradiction
have eq₂ : v' = Fin2.elim0 := by funext i; contradiction
have eq₃ : fs = nilFun := by funext i; contradiction
cases eq₁; cases eq₂; cases eq₃; rfl
#align typevec.typevec_cases_nil₃ TypeVec.typevecCasesNil₃
/-- cases distinction for an arrow in the category of (n+1)-length type vectors -/
def typevecCasesCons₃ (n : ℕ) {β : ∀ v v' : TypeVec (n + 1), v ⟹ v' → Sort*}
(F : ∀ (t t') (f : t → t') (v v' : TypeVec n) (fs : v ⟹ v'),
β (v ::: t) (v' ::: t') (fs ::: f)) :
∀ v v' fs, β v v' fs := by
intro v v'
rw [← append1_drop_last v, ← append1_drop_last v']
intro fs
rw [← split_dropFun_lastFun fs]
apply F
#align typevec.typevec_cases_cons₃ TypeVec.typevecCasesCons₃
/-- specialized cases distinction for an arrow in the category of 0-length type vectors -/
def typevecCasesNil₂ {β : Fin2.elim0 ⟹ Fin2.elim0 → Sort*} (f : β nilFun) : ∀ f, β f := by
intro g
suffices g = nilFun by rwa [this]
ext ⟨⟩
#align typevec.typevec_cases_nil₂ TypeVec.typevecCasesNil₂
/-- specialized cases distinction for an arrow in the category of (n+1)-length type vectors -/
def typevecCasesCons₂ (n : ℕ) (t t' : Type*) (v v' : TypeVec n)
{β : (v ::: t) ⟹ (v' ::: t') → Sort*}
(F : ∀ (f : t → t') (fs : v ⟹ v'), β (fs ::: f)) : ∀ fs, β fs := by
intro fs
rw [← split_dropFun_lastFun fs]
apply F
#align typevec.typevec_cases_cons₂ TypeVec.typevecCasesCons₂
theorem typevecCasesNil₂_appendFun {β : Fin2.elim0 ⟹ Fin2.elim0 → Sort*} (f : β nilFun) :
typevecCasesNil₂ f nilFun = f :=
rfl
#align typevec.typevec_cases_nil₂_append_fun TypeVec.typevecCasesNil₂_appendFun
theorem typevecCasesCons₂_appendFun (n : ℕ) (t t' : Type*) (v v' : TypeVec n)
{β : (v ::: t) ⟹ (v' ::: t') → Sort*}
(F : ∀ (f : t → t') (fs : v ⟹ v'), β (fs ::: f))
(f fs) :
typevecCasesCons₂ n t t' v v' F (fs ::: f) = F f fs :=
rfl
#align typevec.typevec_cases_cons₂_append_fun TypeVec.typevecCasesCons₂_appendFun
-- for lifting predicates and relations
/-- `PredLast α p x` predicates `p` of the last element of `x : α.append1 β`. -/
def PredLast (α : TypeVec n) {β : Type*} (p : β → Prop) : ∀ ⦃i⦄, (α.append1 β) i → Prop
| Fin2.fs _ => fun _ => True
| Fin2.fz => p
#align typevec.pred_last TypeVec.PredLast
/-- `RelLast α r x y` says that `p` the last elements of `x y : α.append1 β` are related by `r` and
all the other elements are equal. -/
def RelLast (α : TypeVec n) {β γ : Type u} (r : β → γ → Prop) :
∀ ⦃i⦄, (α.append1 β) i → (α.append1 γ) i → Prop
| Fin2.fs _ => Eq
| Fin2.fz => r
#align typevec.rel_last TypeVec.RelLast
section Liftp'
open Nat
/-- `repeat n t` is a `n-length` type vector that contains `n` occurrences of `t` -/
def «repeat» : ∀ (n : ℕ), Sort _ → TypeVec n
| 0, _ => Fin2.elim0
| Nat.succ i, t => append1 («repeat» i t) t
#align typevec.repeat TypeVec.repeat
/-- `prod α β` is the pointwise product of the components of `α` and `β` -/
def prod : ∀ {n}, TypeVec.{u} n → TypeVec.{u} n → TypeVec n
| 0, _, _ => Fin2.elim0
| n + 1, α, β => (@prod n (drop α) (drop β)) ::: (last α × last β)
#align typevec.prod TypeVec.prod
@[inherit_doc] scoped[MvFunctor] infixl:45 " ⊗ " => TypeVec.prod
/- porting note: the order of universes in `const` is reversed w.r.t. mathlib3 -/
/-- `const x α` is an arrow that ignores its source and constructs a `TypeVec` that
contains nothing but `x` -/
protected def const {β} (x : β) : ∀ {n} (α : TypeVec n), α ⟹ «repeat» _ β
| succ _, α, Fin2.fs _ => TypeVec.const x (drop α) _
| succ _, _, Fin2.fz => fun _ => x
#align typevec.const TypeVec.const
open Function (uncurry)
/-- vector of equality on a product of vectors -/
def repeatEq : ∀ {n} (α : TypeVec n), (α ⊗ α) ⟹ «repeat» _ Prop
| 0, _ => nilFun
| succ _, α => repeatEq (drop α) ::: uncurry Eq
#align typevec.repeat_eq TypeVec.repeatEq
theorem const_append1 {β γ} (x : γ) {n} (α : TypeVec n) :
TypeVec.const x (α ::: β) = appendFun (TypeVec.const x α) fun _ => x := by
ext i : 1; cases i <;> rfl
#align typevec.const_append1 TypeVec.const_append1
theorem eq_nilFun {α β : TypeVec 0} (f : α ⟹ β) : f = nilFun := by
ext x; cases x
#align typevec.eq_nil_fun TypeVec.eq_nilFun
theorem id_eq_nilFun {α : TypeVec 0} : @id _ α = nilFun := by
ext x; cases x
#align typevec.id_eq_nil_fun TypeVec.id_eq_nilFun
theorem const_nil {β} (x : β) (α : TypeVec 0) : TypeVec.const x α = nilFun := by
ext i : 1; cases i
#align typevec.const_nil TypeVec.const_nil
@[typevec]
theorem repeat_eq_append1 {β} {n} (α : TypeVec n) :
repeatEq (α ::: β) = splitFun (α := (α ⊗ α) ::: _ )
(α' := («repeat» n Prop) ::: _) (repeatEq α) (uncurry Eq) := by
induction n <;> rfl
#align typevec.repeat_eq_append1 TypeVec.repeat_eq_append1
@[typevec]
theorem repeat_eq_nil (α : TypeVec 0) : repeatEq α = nilFun := by ext i; cases i
#align typevec.repeat_eq_nil TypeVec.repeat_eq_nil
/-- predicate on a type vector to constrain only the last object -/
def PredLast' (α : TypeVec n) {β : Type*} (p : β → Prop) :
(α ::: β) ⟹ «repeat» (n + 1) Prop :=
splitFun (TypeVec.const True α) p
#align typevec.pred_last' TypeVec.PredLast'
/-- predicate on the product of two type vectors to constrain only their last object -/
def RelLast' (α : TypeVec n) {β : Type*} (p : β → β → Prop) :
(α ::: β) ⊗ (α ::: β) ⟹ «repeat» (n + 1) Prop :=
splitFun (repeatEq α) (uncurry p)
#align typevec.rel_last' TypeVec.RelLast'
/-- given `F : TypeVec.{u} (n+1) → Type u`, `curry F : Type u → TypeVec.{u} → Type u`,
i.e. its first argument can be fed in separately from the rest of the vector of arguments -/
def Curry (F : TypeVec.{u} (n + 1) → Type*) (α : Type u) (β : TypeVec.{u} n) : Type _ :=
F (β ::: α)
#align typevec.curry TypeVec.Curry
instance Curry.inhabited (F : TypeVec.{u} (n + 1) → Type*) (α : Type u) (β : TypeVec.{u} n)
[I : Inhabited (F <| (β ::: α))] : Inhabited (Curry F α β) :=
I
#align typevec.curry.inhabited TypeVec.Curry.inhabited
/-- arrow to remove one element of a `repeat` vector -/
def dropRepeat (α : Type*) : ∀ {n}, drop («repeat» (succ n) α) ⟹ «repeat» n α
| succ _, Fin2.fs i => dropRepeat α i
| succ _, Fin2.fz => fun (a : α) => a
#align typevec.drop_repeat TypeVec.dropRepeat
/-- projection for a repeat vector -/
def ofRepeat {α : Sort _} : ∀ {n i}, «repeat» n α i → α
| _, Fin2.fz => fun (a : α) => a
| _, Fin2.fs i => @ofRepeat _ _ i
#align typevec.of_repeat TypeVec.ofRepeat
theorem const_iff_true {α : TypeVec n} {i x p} : ofRepeat (TypeVec.const p α i x) ↔ p := by
induction i with
| fz => rfl
| fs _ ih => erw [TypeVec.const, @ih (drop α) x]
#align typevec.const_iff_true TypeVec.const_iff_true
section
variable {α β γ : TypeVec.{u} n}
variable (p : α ⟹ «repeat» n Prop) (r : α ⊗ α ⟹ «repeat» n Prop)
/-- left projection of a `prod` vector -/
def prod.fst : ∀ {n} {α β : TypeVec.{u} n}, α ⊗ β ⟹ α
| succ _, α, β, Fin2.fs i => @prod.fst _ (drop α) (drop β) i
| succ _, _, _, Fin2.fz => Prod.fst
#align typevec.prod.fst TypeVec.prod.fst
/-- right projection of a `prod` vector -/
def prod.snd : ∀ {n} {α β : TypeVec.{u} n}, α ⊗ β ⟹ β
| succ _, α, β, Fin2.fs i => @prod.snd _ (drop α) (drop β) i
| succ _, _, _, Fin2.fz => Prod.snd
#align typevec.prod.snd TypeVec.prod.snd
/-- introduce a product where both components are the same -/
def prod.diag : ∀ {n} {α : TypeVec.{u} n}, α ⟹ α ⊗ α
| succ _, α, Fin2.fs _, x => @prod.diag _ (drop α) _ x
| succ _, _, Fin2.fz, x => (x, x)
#align typevec.prod.diag TypeVec.prod.diag
/-- constructor for `prod` -/
def prod.mk : ∀ {n} {α β : TypeVec.{u} n} (i : Fin2 n), α i → β i → (α ⊗ β) i
| succ _, α, β, Fin2.fs i => mk (α := fun i => α i.fs) (β := fun i => β i.fs) i
| succ _, _, _, Fin2.fz => Prod.mk
#align typevec.prod.mk TypeVec.prod.mk
end
@[simp]
theorem prod_fst_mk {α β : TypeVec n} (i : Fin2 n) (a : α i) (b : β i) :
TypeVec.prod.fst i (prod.mk i a b) = a := by
induction' i with _ _ _ i_ih
· simp_all only [prod.fst, prod.mk]
apply i_ih
#align typevec.prod_fst_mk TypeVec.prod_fst_mk
@[simp]
theorem prod_snd_mk {α β : TypeVec n} (i : Fin2 n) (a : α i) (b : β i) :
TypeVec.prod.snd i (prod.mk i a b) = b := by
induction' i with _ _ _ i_ih
· simp_all [prod.snd, prod.mk]
apply i_ih
#align typevec.prod_snd_mk TypeVec.prod_snd_mk
/-- `prod` is functorial -/
protected def prod.map : ∀ {n} {α α' β β' : TypeVec.{u} n}, α ⟹ β → α' ⟹ β' → α ⊗ α' ⟹ β ⊗ β'
| succ _, α, α', β, β', x, y, Fin2.fs _, a =>
@prod.map _ (drop α) (drop α') (drop β) (drop β') (dropFun x) (dropFun y) _ a
| succ _, _, _, _, _, x, y, Fin2.fz, a => (x _ a.1, y _ a.2)
#align typevec.prod.map TypeVec.prod.map
@[inherit_doc] scoped[MvFunctor] infixl:45 " ⊗' " => TypeVec.prod.map
theorem fst_prod_mk {α α' β β' : TypeVec n} (f : α ⟹ β) (g : α' ⟹ β') :
TypeVec.prod.fst ⊚ (f ⊗' g) = f ⊚ TypeVec.prod.fst := by
funext i; induction i with
| fz => rfl
| fs _ i_ih => apply i_ih
#align typevec.fst_prod_mk TypeVec.fst_prod_mk
theorem snd_prod_mk {α α' β β' : TypeVec n} (f : α ⟹ β) (g : α' ⟹ β') :
TypeVec.prod.snd ⊚ (f ⊗' g) = g ⊚ TypeVec.prod.snd := by
funext i; induction i with
| fz => rfl
| fs _ i_ih => apply i_ih
#align typevec.snd_prod_mk TypeVec.snd_prod_mk
theorem fst_diag {α : TypeVec n} : TypeVec.prod.fst ⊚ (prod.diag : α ⟹ _) = id := by
funext i; induction i with
| fz => rfl
| fs _ i_ih => apply i_ih
#align typevec.fst_diag TypeVec.fst_diag
theorem snd_diag {α : TypeVec n} : TypeVec.prod.snd ⊚ (prod.diag : α ⟹ _) = id := by
funext i; induction i with
| fz => rfl
| fs _ i_ih => apply i_ih
#align typevec.snd_diag TypeVec.snd_diag
theorem repeatEq_iff_eq {α : TypeVec n} {i x y} :
ofRepeat (repeatEq α i (prod.mk _ x y)) ↔ x = y := by
induction' i with _ _ _ i_ih
· rfl
erw [repeatEq, i_ih]
#align typevec.repeat_eq_iff_eq TypeVec.repeatEq_iff_eq
/-- given a predicate vector `p` over vector `α`, `Subtype_ p` is the type of vectors
that contain an `α` that satisfies `p` -/
def Subtype_ : ∀ {n} {α : TypeVec.{u} n}, (α ⟹ «repeat» n Prop) → TypeVec n
| _, _, p, Fin2.fz => Subtype fun x => p Fin2.fz x
| _, _, p, Fin2.fs i => Subtype_ (dropFun p) i
#align typevec.subtype_ TypeVec.Subtype_
/-- projection on `Subtype_` -/
def subtypeVal : ∀ {n} {α : TypeVec.{u} n} (p : α ⟹ «repeat» n Prop), Subtype_ p ⟹ α
| succ n, _, _, Fin2.fs i => @subtypeVal n _ _ i
| succ _, _, _, Fin2.fz => Subtype.val
#align typevec.subtype_val TypeVec.subtypeVal
/-- arrow that rearranges the type of `Subtype_` to turn a subtype of vector into
a vector of subtypes -/
def toSubtype :
∀ {n} {α : TypeVec.{u} n} (p : α ⟹ «repeat» n Prop),
(fun i : Fin2 n => { x // ofRepeat <| p i x }) ⟹ Subtype_ p
| succ _, _, p, Fin2.fs i, x => toSubtype (dropFun p) i x
| succ _, _, _, Fin2.fz, x => x
#align typevec.to_subtype TypeVec.toSubtype
/-- arrow that rearranges the type of `Subtype_` to turn a vector of subtypes
into a subtype of vector -/
def ofSubtype {n} {α : TypeVec.{u} n} (p : α ⟹ «repeat» n Prop) :
Subtype_ p ⟹ fun i : Fin2 n => { x // ofRepeat <| p i x }
| Fin2.fs i, x => ofSubtype _ i x
| Fin2.fz, x => x
#align typevec.of_subtype TypeVec.ofSubtype
/-- similar to `toSubtype` adapted to relations (i.e. predicate on product) -/
def toSubtype' {n} {α : TypeVec.{u} n} (p : α ⊗ α ⟹ «repeat» n Prop) :
(fun i : Fin2 n => { x : α i × α i // ofRepeat <| p i (prod.mk _ x.1 x.2) }) ⟹ Subtype_ p
| Fin2.fs i, x => toSubtype' (dropFun p) i x
| Fin2.fz, x => ⟨x.val, cast (by congr) x.property⟩
#align typevec.to_subtype' TypeVec.toSubtype'
/-- similar to `of_subtype` adapted to relations (i.e. predicate on product) -/
def ofSubtype' {n} {α : TypeVec.{u} n} (p : α ⊗ α ⟹ «repeat» n Prop) :
Subtype_ p ⟹ fun i : Fin2 n => { x : α i × α i // ofRepeat <| p i (prod.mk _ x.1 x.2) }
| Fin2.fs i, x => ofSubtype' _ i x
| Fin2.fz, x => ⟨x.val, cast (by congr) x.property⟩
#align typevec.of_subtype' TypeVec.ofSubtype'
/-- similar to `diag` but the target vector is a `Subtype_`
guaranteeing the equality of the components -/
def diagSub {n} {α : TypeVec.{u} n} : α ⟹ Subtype_ (repeatEq α)
| Fin2.fs _, x => @diagSub _ (drop α) _ x
| Fin2.fz, x => ⟨(x, x), rfl⟩
#align typevec.diag_sub TypeVec.diagSub
theorem subtypeVal_nil {α : TypeVec.{u} 0} (ps : α ⟹ «repeat» 0 Prop) :
TypeVec.subtypeVal ps = nilFun :=
funext <| by rintro ⟨⟩
#align typevec.subtype_val_nil TypeVec.subtypeVal_nil
theorem diag_sub_val {n} {α : TypeVec.{u} n} : subtypeVal (repeatEq α) ⊚ diagSub = prod.diag := by
ext i x
induction' i with _ _ _ i_ih
· simp only [comp, subtypeVal, repeatEq.eq_2, diagSub, prod.diag]
apply @i_ih (drop α)
#align typevec.diag_sub_val TypeVec.diag_sub_val
| Mathlib/Data/TypeVec.lean | 652 | 658 | theorem prod_id : ∀ {n} {α β : TypeVec.{u} n}, (id ⊗' id) = (id : α ⊗ β ⟹ _) := by |
intros
ext i a
induction' i with _ _ _ i_ih
· cases a
rfl
· apply i_ih
|
/-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Scott Morrison, Adam Topaz
-/
import Mathlib.Topology.Sheaves.SheafOfFunctions
import Mathlib.Topology.Sheaves.Stalks
import Mathlib.Topology.Sheaves.SheafCondition.UniqueGluing
#align_import topology.sheaves.local_predicate from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8"
/-!
# Functions satisfying a local predicate form a sheaf.
At this stage, in `Mathlib/Topology/Sheaves/SheafOfFunctions.lean`
we've proved that not-necessarily-continuous functions from a topological space
into some type (or type family) form a sheaf.
Why do the continuous functions form a sheaf?
The point is just that continuity is a local condition,
so one can use the lifting condition for functions to provide a candidate lift,
then verify that the lift is actually continuous by using the factorisation condition for the lift
(which guarantees that on each open set it agrees with the functions being lifted,
which were assumed to be continuous).
This file abstracts this argument to work for
any collection of dependent functions on a topological space
satisfying a "local predicate".
As an application, we check that continuity is a local predicate in this sense, and provide
* `TopCat.sheafToTop`: continuous functions into a topological space form a sheaf
A sheaf constructed in this way has a natural map `stalkToFiber` from the stalks
to the types in the ambient type family.
We give conditions sufficient to show that this map is injective and/or surjective.
-/
universe v
noncomputable section
variable {X : TopCat.{v}}
variable (T : X → Type v)
open TopologicalSpace
open Opposite
open CategoryTheory
open CategoryTheory.Limits
open CategoryTheory.Limits.Types
namespace TopCat
/-- Given a topological space `X : TopCat` and a type family `T : X → Type`,
a `P : PrelocalPredicate T` consists of:
* a family of predicates `P.pred`, one for each `U : Opens X`, of the form `(Π x : U, T x) → Prop`
* a proof that if `f : Π x : V, T x` satisfies the predicate on `V : Opens X`, then
the restriction of `f` to any open subset `U` also satisfies the predicate.
-/
structure PrelocalPredicate where
/-- The underlying predicate of a prelocal predicate -/
pred : ∀ {U : Opens X}, (∀ x : U, T x) → Prop
/-- The underlying predicate should be invariant under restriction -/
res : ∀ {U V : Opens X} (i : U ⟶ V) (f : ∀ x : V, T x) (_ : pred f), pred fun x : U => f (i x)
set_option linter.uppercaseLean3 false in
#align Top.prelocal_predicate TopCat.PrelocalPredicate
variable (X)
/-- Continuity is a "prelocal" predicate on functions to a fixed topological space `T`.
-/
@[simps!]
def continuousPrelocal (T : TopCat.{v}) : PrelocalPredicate fun _ : X => T where
pred {_} f := Continuous f
res {_ _} i _ h := Continuous.comp h (Opens.openEmbedding_of_le i.le).continuous
set_option linter.uppercaseLean3 false in
#align Top.continuous_prelocal TopCat.continuousPrelocal
/-- Satisfying the inhabited linter. -/
instance inhabitedPrelocalPredicate (T : TopCat.{v}) :
Inhabited (PrelocalPredicate fun _ : X => T) :=
⟨continuousPrelocal X T⟩
set_option linter.uppercaseLean3 false in
#align Top.inhabited_prelocal_predicate TopCat.inhabitedPrelocalPredicate
variable {X}
/-- Given a topological space `X : TopCat` and a type family `T : X → Type`,
a `P : LocalPredicate T` consists of:
* a family of predicates `P.pred`, one for each `U : Opens X`, of the form `(Π x : U, T x) → Prop`
* a proof that if `f : Π x : V, T x` satisfies the predicate on `V : Opens X`, then
the restriction of `f` to any open subset `U` also satisfies the predicate, and
* a proof that given some `f : Π x : U, T x`,
if for every `x : U` we can find an open set `x ∈ V ≤ U`
so that the restriction of `f` to `V` satisfies the predicate,
then `f` itself satisfies the predicate.
-/
structure LocalPredicate extends PrelocalPredicate T where
/-- A local predicate must be local --- provided that it is locally satisfied, it is also globally
satisfied -/
locality :
∀ {U : Opens X} (f : ∀ x : U, T x)
(_ : ∀ x : U, ∃ (V : Opens X) (_ : x.1 ∈ V) (i : V ⟶ U),
pred fun x : V => f (i x : U)), pred f
set_option linter.uppercaseLean3 false in
#align Top.local_predicate TopCat.LocalPredicate
variable (X)
/-- Continuity is a "local" predicate on functions to a fixed topological space `T`.
-/
def continuousLocal (T : TopCat.{v}) : LocalPredicate fun _ : X => T :=
{ continuousPrelocal X T with
locality := fun {U} f w => by
apply continuous_iff_continuousAt.2
intro x
specialize w x
rcases w with ⟨V, m, i, w⟩
dsimp at w
rw [continuous_iff_continuousAt] at w
specialize w ⟨x, m⟩
simpa using (Opens.openEmbedding_of_le i.le).continuousAt_iff.1 w }
set_option linter.uppercaseLean3 false in
#align Top.continuous_local TopCat.continuousLocal
/-- Satisfying the inhabited linter. -/
instance inhabitedLocalPredicate (T : TopCat.{v}) : Inhabited (LocalPredicate fun _ : X => T) :=
⟨continuousLocal X T⟩
set_option linter.uppercaseLean3 false in
#align Top.inhabited_local_predicate TopCat.inhabitedLocalPredicate
variable {X T}
/-- Given a `P : PrelocalPredicate`, we can always construct a `LocalPredicate`
by asking that the condition from `P` holds locally near every point.
-/
def PrelocalPredicate.sheafify {T : X → Type v} (P : PrelocalPredicate T) : LocalPredicate T where
pred {U} f := ∀ x : U, ∃ (V : Opens X) (_ : x.1 ∈ V) (i : V ⟶ U), P.pred fun x : V => f (i x : U)
res {V U} i f w x := by
specialize w (i x)
rcases w with ⟨V', m', i', p⟩
refine ⟨V ⊓ V', ⟨x.2, m'⟩, Opens.infLELeft _ _, ?_⟩
convert P.res (Opens.infLERight V V') _ p
locality {U} f w x := by
specialize w x
rcases w with ⟨V, m, i, p⟩
specialize p ⟨x.1, m⟩
rcases p with ⟨V', m', i', p'⟩
exact ⟨V', m', i' ≫ i, p'⟩
set_option linter.uppercaseLean3 false in
#align Top.prelocal_predicate.sheafify TopCat.PrelocalPredicate.sheafify
theorem PrelocalPredicate.sheafifyOf {T : X → Type v} {P : PrelocalPredicate T} {U : Opens X}
{f : ∀ x : U, T x} (h : P.pred f) : P.sheafify.pred f := fun x =>
⟨U, x.2, 𝟙 _, by convert h⟩
set_option linter.uppercaseLean3 false in
#align Top.prelocal_predicate.sheafify_of TopCat.PrelocalPredicate.sheafifyOf
/-- The subpresheaf of dependent functions on `X` satisfying the "pre-local" predicate `P`.
-/
@[simps!]
def subpresheafToTypes (P : PrelocalPredicate T) : Presheaf (Type v) X where
obj U := { f : ∀ x : U.unop , T x // P.pred f }
map {U V} i f := ⟨fun x => f.1 (i.unop x), P.res i.unop f.1 f.2⟩
set_option linter.uppercaseLean3 false in
#align Top.subpresheaf_to_Types TopCat.subpresheafToTypes
namespace subpresheafToTypes
variable (P : PrelocalPredicate T)
/-- The natural transformation including the subpresheaf of functions satisfying a local predicate
into the presheaf of all functions.
-/
def subtype : subpresheafToTypes P ⟶ presheafToTypes X T where app U f := f.1
set_option linter.uppercaseLean3 false in
#align Top.subpresheaf_to_Types.subtype TopCat.subpresheafToTypes.subtype
open TopCat.Presheaf
/-- The functions satisfying a local predicate satisfy the sheaf condition.
-/
theorem isSheaf (P : LocalPredicate T) : (subpresheafToTypes P.toPrelocalPredicate).IsSheaf :=
Presheaf.isSheaf_of_isSheafUniqueGluing_types.{v} _ fun ι U sf sf_comp => by
-- We show the sheaf condition in terms of unique gluing.
-- First we obtain a family of sections for the underlying sheaf of functions,
-- by forgetting that the predicate holds
let sf' : ∀ i : ι, (presheafToTypes X T).obj (op (U i)) := fun i => (sf i).val
-- Since our original family is compatible, this one is as well
have sf'_comp : (presheafToTypes X T).IsCompatible U sf' := fun i j =>
congr_arg Subtype.val (sf_comp i j)
-- So, we can obtain a unique gluing
obtain ⟨gl, gl_spec, gl_uniq⟩ := (sheafToTypes X T).existsUnique_gluing U sf' sf'_comp
refine ⟨⟨gl, ?_⟩, ?_, ?_⟩
· -- Our first goal is to show that this chosen gluing satisfies the
-- predicate. Of course, we use locality of the predicate.
apply P.locality
rintro ⟨x, mem⟩
-- Once we're at a particular point `x`, we can select some open set `x ∈ U i`.
choose i hi using Opens.mem_iSup.mp mem
-- We claim that the predicate holds in `U i`
use U i, hi, Opens.leSupr U i
-- This follows, since our original family `sf` satisfies the predicate
convert (sf i).property using 1
exact gl_spec i
-- It remains to show that the chosen lift is really a gluing for the subsheaf and
-- that it is unique. Both of which follow immediately from the corresponding facts
-- in the sheaf of functions without the local predicate.
· exact fun i => Subtype.ext (gl_spec i)
· intro gl' hgl'
refine Subtype.ext ?_
exact gl_uniq gl'.1 fun i => congr_arg Subtype.val (hgl' i)
set_option linter.uppercaseLean3 false in
#align Top.subpresheaf_to_Types.is_sheaf TopCat.subpresheafToTypes.isSheaf
end subpresheafToTypes
/-- The subsheaf of the sheaf of all dependently typed functions satisfying the local predicate `P`.
-/
@[simps]
def subsheafToTypes (P : LocalPredicate T) : Sheaf (Type v) X :=
⟨subpresheafToTypes P.toPrelocalPredicate, subpresheafToTypes.isSheaf P⟩
set_option linter.uppercaseLean3 false in
#align Top.subsheaf_to_Types TopCat.subsheafToTypes
/-- There is a canonical map from the stalk to the original fiber, given by evaluating sections.
-/
def stalkToFiber (P : LocalPredicate T) (x : X) : (subsheafToTypes P).presheaf.stalk x ⟶ T x := by
refine
colimit.desc _
{ pt := T x
ι :=
{ app := fun U f => ?_
naturality := ?_ } }
· exact f.1 ⟨x, (unop U).2⟩
· aesop
set_option linter.uppercaseLean3 false in
#align Top.stalk_to_fiber TopCat.stalkToFiber
-- Porting note (#11119): removed `simp` attribute,
-- due to left hand side is not in simple normal form.
| Mathlib/Topology/Sheaves/LocalPredicate.lean | 248 | 252 | theorem stalkToFiber_germ (P : LocalPredicate T) (U : Opens X) (x : U) (f) :
stalkToFiber P x ((subsheafToTypes P).presheaf.germ x f) = f.1 x := by |
dsimp [Presheaf.germ, stalkToFiber]
cases x
simp
|
/-
Copyright (c) 2018 Sean Leather. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sean Leather, Mario Carneiro
-/
import Mathlib.Data.List.Sigma
#align_import data.list.alist from "leanprover-community/mathlib"@"f808feb6c18afddb25e66a71d317643cf7fb5fbb"
/-!
# Association Lists
This file defines association lists. An association list is a list where every element consists of
a key and a value, and no two entries have the same key. The type of the value is allowed to be
dependent on the type of the key.
This type dependence is implemented using `Sigma`: The elements of the list are of type `Sigma β`,
for some type index `β`.
## Main definitions
Association lists are represented by the `AList` structure. This file defines this structure and
provides ways to access, modify, and combine `AList`s.
* `AList.keys` returns a list of keys of the alist.
* `AList.membership` returns membership in the set of keys.
* `AList.erase` removes a certain key.
* `AList.insert` adds a key-value mapping to the list.
* `AList.union` combines two association lists.
## References
* <https://en.wikipedia.org/wiki/Association_list>
-/
universe u v w
open List
variable {α : Type u} {β : α → Type v}
/-- `AList β` is a key-value map stored as a `List` (i.e. a linked list).
It is a wrapper around certain `List` functions with the added constraint
that the list have unique keys. -/
structure AList (β : α → Type v) : Type max u v where
/-- The underlying `List` of an `AList` -/
entries : List (Sigma β)
/-- There are no duplicate keys in `entries` -/
nodupKeys : entries.NodupKeys
#align alist AList
/-- Given `l : List (Sigma β)`, create a term of type `AList β` by removing
entries with duplicate keys. -/
def List.toAList [DecidableEq α] {β : α → Type v} (l : List (Sigma β)) : AList β where
entries := _
nodupKeys := nodupKeys_dedupKeys l
#align list.to_alist List.toAList
namespace AList
@[ext]
theorem ext : ∀ {s t : AList β}, s.entries = t.entries → s = t
| ⟨l₁, h₁⟩, ⟨l₂, _⟩, H => by congr
#align alist.ext AList.ext
theorem ext_iff {s t : AList β} : s = t ↔ s.entries = t.entries :=
⟨congr_arg _, ext⟩
#align alist.ext_iff AList.ext_iff
instance [DecidableEq α] [∀ a, DecidableEq (β a)] : DecidableEq (AList β) := fun xs ys => by
rw [ext_iff]; infer_instance
/-! ### keys -/
/-- The list of keys of an association list. -/
def keys (s : AList β) : List α :=
s.entries.keys
#align alist.keys AList.keys
theorem keys_nodup (s : AList β) : s.keys.Nodup :=
s.nodupKeys
#align alist.keys_nodup AList.keys_nodup
/-! ### mem -/
/-- The predicate `a ∈ s` means that `s` has a value associated to the key `a`. -/
instance : Membership α (AList β) :=
⟨fun a s => a ∈ s.keys⟩
theorem mem_keys {a : α} {s : AList β} : a ∈ s ↔ a ∈ s.keys :=
Iff.rfl
#align alist.mem_keys AList.mem_keys
theorem mem_of_perm {a : α} {s₁ s₂ : AList β} (p : s₁.entries ~ s₂.entries) : a ∈ s₁ ↔ a ∈ s₂ :=
(p.map Sigma.fst).mem_iff
#align alist.mem_of_perm AList.mem_of_perm
/-! ### empty -/
/-- The empty association list. -/
instance : EmptyCollection (AList β) :=
⟨⟨[], nodupKeys_nil⟩⟩
instance : Inhabited (AList β) :=
⟨∅⟩
@[simp]
theorem not_mem_empty (a : α) : a ∉ (∅ : AList β) :=
not_mem_nil a
#align alist.not_mem_empty AList.not_mem_empty
@[simp]
theorem empty_entries : (∅ : AList β).entries = [] :=
rfl
#align alist.empty_entries AList.empty_entries
@[simp]
theorem keys_empty : (∅ : AList β).keys = [] :=
rfl
#align alist.keys_empty AList.keys_empty
/-! ### singleton -/
/-- The singleton association list. -/
def singleton (a : α) (b : β a) : AList β :=
⟨[⟨a, b⟩], nodupKeys_singleton _⟩
#align alist.singleton AList.singleton
@[simp]
theorem singleton_entries (a : α) (b : β a) : (singleton a b).entries = [Sigma.mk a b] :=
rfl
#align alist.singleton_entries AList.singleton_entries
@[simp]
theorem keys_singleton (a : α) (b : β a) : (singleton a b).keys = [a] :=
rfl
#align alist.keys_singleton AList.keys_singleton
/-! ### lookup -/
section
variable [DecidableEq α]
/-- Look up the value associated to a key in an association list. -/
def lookup (a : α) (s : AList β) : Option (β a) :=
s.entries.dlookup a
#align alist.lookup AList.lookup
@[simp]
theorem lookup_empty (a) : lookup a (∅ : AList β) = none :=
rfl
#align alist.lookup_empty AList.lookup_empty
theorem lookup_isSome {a : α} {s : AList β} : (s.lookup a).isSome ↔ a ∈ s :=
dlookup_isSome
#align alist.lookup_is_some AList.lookup_isSome
theorem lookup_eq_none {a : α} {s : AList β} : lookup a s = none ↔ a ∉ s :=
dlookup_eq_none
#align alist.lookup_eq_none AList.lookup_eq_none
theorem mem_lookup_iff {a : α} {b : β a} {s : AList β} :
b ∈ lookup a s ↔ Sigma.mk a b ∈ s.entries :=
mem_dlookup_iff s.nodupKeys
#align alist.mem_lookup_iff AList.mem_lookup_iff
theorem perm_lookup {a : α} {s₁ s₂ : AList β} (p : s₁.entries ~ s₂.entries) :
s₁.lookup a = s₂.lookup a :=
perm_dlookup _ s₁.nodupKeys s₂.nodupKeys p
#align alist.perm_lookup AList.perm_lookup
instance (a : α) (s : AList β) : Decidable (a ∈ s) :=
decidable_of_iff _ lookup_isSome
theorem keys_subset_keys_of_entries_subset_entries
{s₁ s₂ : AList β} (h : s₁.entries ⊆ s₂.entries) : s₁.keys ⊆ s₂.keys := by
intro k hk
letI : DecidableEq α := Classical.decEq α
have := h (mem_lookup_iff.1 (Option.get_mem (lookup_isSome.2 hk)))
rw [← mem_lookup_iff, Option.mem_def] at this
rw [← mem_keys, ← lookup_isSome, this]
exact Option.isSome_some
/-! ### replace -/
/-- Replace a key with a given value in an association list.
If the key is not present it does nothing. -/
def replace (a : α) (b : β a) (s : AList β) : AList β :=
⟨kreplace a b s.entries, (kreplace_nodupKeys a b).2 s.nodupKeys⟩
#align alist.replace AList.replace
@[simp]
theorem keys_replace (a : α) (b : β a) (s : AList β) : (replace a b s).keys = s.keys :=
keys_kreplace _ _ _
#align alist.keys_replace AList.keys_replace
@[simp]
| Mathlib/Data/List/AList.lean | 207 | 208 | theorem mem_replace {a a' : α} {b : β a} {s : AList β} : a' ∈ replace a b s ↔ a' ∈ s := by |
rw [mem_keys, keys_replace, ← mem_keys]
|
/-
Copyright (c) 2020 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers
-/
import Mathlib.Algebra.Module.BigOperators
import Mathlib.Data.Fintype.BigOperators
import Mathlib.LinearAlgebra.AffineSpace.AffineMap
import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.Tactic.FinCases
#align_import linear_algebra.affine_space.combination from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
/-!
# Affine combinations of points
This file defines affine combinations of points.
## Main definitions
* `weightedVSubOfPoint` is a general weighted combination of
subtractions with an explicit base point, yielding a vector.
* `weightedVSub` uses an arbitrary choice of base point and is intended
to be used when the sum of weights is 0, in which case the result is
independent of the choice of base point.
* `affineCombination` adds the weighted combination to the arbitrary
base point, yielding a point rather than a vector, and is intended
to be used when the sum of weights is 1, in which case the result is
independent of the choice of base point.
These definitions are for sums over a `Finset`; versions for a
`Fintype` may be obtained using `Finset.univ`, while versions for a
`Finsupp` may be obtained using `Finsupp.support`.
## References
* https://en.wikipedia.org/wiki/Affine_space
-/
noncomputable section
open Affine
namespace Finset
theorem univ_fin2 : (univ : Finset (Fin 2)) = {0, 1} := by
ext x
fin_cases x <;> simp
#align finset.univ_fin2 Finset.univ_fin2
variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [S : AffineSpace V P]
variable {ι : Type*} (s : Finset ι)
variable {ι₂ : Type*} (s₂ : Finset ι₂)
/-- A weighted sum of the results of subtracting a base point from the
given points, as a linear map on the weights. The main cases of
interest are where the sum of the weights is 0, in which case the sum
is independent of the choice of base point, and where the sum of the
weights is 1, in which case the sum added to the base point is
independent of the choice of base point. -/
def weightedVSubOfPoint (p : ι → P) (b : P) : (ι → k) →ₗ[k] V :=
∑ i ∈ s, (LinearMap.proj i : (ι → k) →ₗ[k] k).smulRight (p i -ᵥ b)
#align finset.weighted_vsub_of_point Finset.weightedVSubOfPoint
@[simp]
theorem weightedVSubOfPoint_apply (w : ι → k) (p : ι → P) (b : P) :
s.weightedVSubOfPoint p b w = ∑ i ∈ s, w i • (p i -ᵥ b) := by
simp [weightedVSubOfPoint, LinearMap.sum_apply]
#align finset.weighted_vsub_of_point_apply Finset.weightedVSubOfPoint_apply
/-- The value of `weightedVSubOfPoint`, where the given points are equal. -/
@[simp (high)]
theorem weightedVSubOfPoint_apply_const (w : ι → k) (p : P) (b : P) :
s.weightedVSubOfPoint (fun _ => p) b w = (∑ i ∈ s, w i) • (p -ᵥ b) := by
rw [weightedVSubOfPoint_apply, sum_smul]
#align finset.weighted_vsub_of_point_apply_const Finset.weightedVSubOfPoint_apply_const
/-- `weightedVSubOfPoint` gives equal results for two families of weights and two families of
points that are equal on `s`. -/
theorem weightedVSubOfPoint_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P}
(hp : ∀ i ∈ s, p₁ i = p₂ i) (b : P) :
s.weightedVSubOfPoint p₁ b w₁ = s.weightedVSubOfPoint p₂ b w₂ := by
simp_rw [weightedVSubOfPoint_apply]
refine sum_congr rfl fun i hi => ?_
rw [hw i hi, hp i hi]
#align finset.weighted_vsub_of_point_congr Finset.weightedVSubOfPoint_congr
/-- Given a family of points, if we use a member of the family as a base point, the
`weightedVSubOfPoint` does not depend on the value of the weights at this point. -/
theorem weightedVSubOfPoint_eq_of_weights_eq (p : ι → P) (j : ι) (w₁ w₂ : ι → k)
(hw : ∀ i, i ≠ j → w₁ i = w₂ i) :
s.weightedVSubOfPoint p (p j) w₁ = s.weightedVSubOfPoint p (p j) w₂ := by
simp only [Finset.weightedVSubOfPoint_apply]
congr
ext i
rcases eq_or_ne i j with h | h
· simp [h]
· simp [hw i h]
#align finset.weighted_vsub_of_point_eq_of_weights_eq Finset.weightedVSubOfPoint_eq_of_weights_eq
/-- The weighted sum is independent of the base point when the sum of
the weights is 0. -/
theorem weightedVSubOfPoint_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0)
(b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w = s.weightedVSubOfPoint p b₂ w := by
apply eq_of_sub_eq_zero
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_sub_distrib]
conv_lhs =>
congr
· skip
· ext
rw [← smul_sub, vsub_sub_vsub_cancel_left]
rw [← sum_smul, h, zero_smul]
#align finset.weighted_vsub_of_point_eq_of_sum_eq_zero Finset.weightedVSubOfPoint_eq_of_sum_eq_zero
/-- The weighted sum, added to the base point, is independent of the
base point when the sum of the weights is 1. -/
theorem weightedVSubOfPoint_vadd_eq_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1)
(b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w +ᵥ b₁ = s.weightedVSubOfPoint p b₂ w +ᵥ b₂ := by
erw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← @vsub_eq_zero_iff_eq V,
vadd_vsub_assoc, vsub_vadd_eq_vsub_sub, ← add_sub_assoc, add_comm, add_sub_assoc, ←
sum_sub_distrib]
conv_lhs =>
congr
· skip
· congr
· skip
· ext
rw [← smul_sub, vsub_sub_vsub_cancel_left]
rw [← sum_smul, h, one_smul, vsub_add_vsub_cancel, vsub_self]
#align finset.weighted_vsub_of_point_vadd_eq_of_sum_eq_one Finset.weightedVSubOfPoint_vadd_eq_of_sum_eq_one
/-- The weighted sum is unaffected by removing the base point, if
present, from the set of points. -/
@[simp (high)]
theorem weightedVSubOfPoint_erase [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) :
(s.erase i).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
apply sum_erase
rw [vsub_self, smul_zero]
#align finset.weighted_vsub_of_point_erase Finset.weightedVSubOfPoint_erase
/-- The weighted sum is unaffected by adding the base point, whether
or not present, to the set of points. -/
@[simp (high)]
theorem weightedVSubOfPoint_insert [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) :
(insert i s).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
apply sum_insert_zero
rw [vsub_self, smul_zero]
#align finset.weighted_vsub_of_point_insert Finset.weightedVSubOfPoint_insert
/-- The weighted sum is unaffected by changing the weights to the
corresponding indicator function and adding points to the set. -/
theorem weightedVSubOfPoint_indicator_subset (w : ι → k) (p : ι → P) (b : P) {s₁ s₂ : Finset ι}
(h : s₁ ⊆ s₂) :
s₁.weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint p b (Set.indicator (↑s₁) w) := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
exact Eq.symm <|
sum_indicator_subset_of_eq_zero w (fun i wi => wi • (p i -ᵥ b : V)) h fun i => zero_smul k _
#align finset.weighted_vsub_of_point_indicator_subset Finset.weightedVSubOfPoint_indicator_subset
/-- A weighted sum, over the image of an embedding, equals a weighted
sum with the same points and weights over the original
`Finset`. -/
| Mathlib/LinearAlgebra/AffineSpace/Combination.lean | 171 | 174 | theorem weightedVSubOfPoint_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) (b : P) :
(s₂.map e).weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint (p ∘ e) b (w ∘ e) := by |
simp_rw [weightedVSubOfPoint_apply]
exact Finset.sum_map _ _ _
|
/-
Copyright (c) 2022 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Data.Finset.Prod
import Mathlib.Data.Set.Finite
#align_import data.finset.n_ary from "leanprover-community/mathlib"@"eba7871095e834365616b5e43c8c7bb0b37058d0"
/-!
# N-ary images of finsets
This file defines `Finset.image₂`, the binary image of finsets. This is the finset version of
`Set.image2`. This is mostly useful to define pointwise operations.
## Notes
This file is very similar to `Data.Set.NAry`, `Order.Filter.NAry` and `Data.Option.NAry`. Please
keep them in sync.
We do not define `Finset.image₃` as its only purpose would be to prove properties of `Finset.image₂`
and `Set.image2` already fulfills this task.
-/
open Function Set
variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*}
namespace Finset
variable [DecidableEq α'] [DecidableEq β'] [DecidableEq γ] [DecidableEq γ'] [DecidableEq δ]
[DecidableEq δ'] [DecidableEq ε] [DecidableEq ε'] {f f' : α → β → γ} {g g' : α → β → γ → δ}
{s s' : Finset α} {t t' : Finset β} {u u' : Finset γ} {a a' : α} {b b' : β} {c : γ}
/-- The image of a binary function `f : α → β → γ` as a function `Finset α → Finset β → Finset γ`.
Mathematically this should be thought of as the image of the corresponding function `α × β → γ`. -/
def image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) : Finset γ :=
(s ×ˢ t).image <| uncurry f
#align finset.image₂ Finset.image₂
@[simp]
theorem mem_image₂ : c ∈ image₂ f s t ↔ ∃ a ∈ s, ∃ b ∈ t, f a b = c := by
simp [image₂, and_assoc]
#align finset.mem_image₂ Finset.mem_image₂
@[simp, norm_cast]
theorem coe_image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) :
(image₂ f s t : Set γ) = Set.image2 f s t :=
Set.ext fun _ => mem_image₂
#align finset.coe_image₂ Finset.coe_image₂
theorem card_image₂_le (f : α → β → γ) (s : Finset α) (t : Finset β) :
(image₂ f s t).card ≤ s.card * t.card :=
card_image_le.trans_eq <| card_product _ _
#align finset.card_image₂_le Finset.card_image₂_le
theorem card_image₂_iff :
(image₂ f s t).card = s.card * t.card ↔ (s ×ˢ t : Set (α × β)).InjOn fun x => f x.1 x.2 := by
rw [← card_product, ← coe_product]
exact card_image_iff
#align finset.card_image₂_iff Finset.card_image₂_iff
theorem card_image₂ (hf : Injective2 f) (s : Finset α) (t : Finset β) :
(image₂ f s t).card = s.card * t.card :=
(card_image_of_injective _ hf.uncurry).trans <| card_product _ _
#align finset.card_image₂ Finset.card_image₂
theorem mem_image₂_of_mem (ha : a ∈ s) (hb : b ∈ t) : f a b ∈ image₂ f s t :=
mem_image₂.2 ⟨a, ha, b, hb, rfl⟩
#align finset.mem_image₂_of_mem Finset.mem_image₂_of_mem
theorem mem_image₂_iff (hf : Injective2 f) : f a b ∈ image₂ f s t ↔ a ∈ s ∧ b ∈ t := by
rw [← mem_coe, coe_image₂, mem_image2_iff hf, mem_coe, mem_coe]
#align finset.mem_image₂_iff Finset.mem_image₂_iff
theorem image₂_subset (hs : s ⊆ s') (ht : t ⊆ t') : image₂ f s t ⊆ image₂ f s' t' := by
rw [← coe_subset, coe_image₂, coe_image₂]
exact image2_subset hs ht
#align finset.image₂_subset Finset.image₂_subset
theorem image₂_subset_left (ht : t ⊆ t') : image₂ f s t ⊆ image₂ f s t' :=
image₂_subset Subset.rfl ht
#align finset.image₂_subset_left Finset.image₂_subset_left
theorem image₂_subset_right (hs : s ⊆ s') : image₂ f s t ⊆ image₂ f s' t :=
image₂_subset hs Subset.rfl
#align finset.image₂_subset_right Finset.image₂_subset_right
theorem image_subset_image₂_left (hb : b ∈ t) : s.image (fun a => f a b) ⊆ image₂ f s t :=
image_subset_iff.2 fun _ ha => mem_image₂_of_mem ha hb
#align finset.image_subset_image₂_left Finset.image_subset_image₂_left
theorem image_subset_image₂_right (ha : a ∈ s) : t.image (fun b => f a b) ⊆ image₂ f s t :=
image_subset_iff.2 fun _ => mem_image₂_of_mem ha
#align finset.image_subset_image₂_right Finset.image_subset_image₂_right
theorem forall_image₂_iff {p : γ → Prop} :
(∀ z ∈ image₂ f s t, p z) ↔ ∀ x ∈ s, ∀ y ∈ t, p (f x y) := by
simp_rw [← mem_coe, coe_image₂, forall_image2_iff]
#align finset.forall_image₂_iff Finset.forall_image₂_iff
@[simp]
theorem image₂_subset_iff : image₂ f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u :=
forall_image₂_iff
#align finset.image₂_subset_iff Finset.image₂_subset_iff
theorem image₂_subset_iff_left : image₂ f s t ⊆ u ↔ ∀ a ∈ s, (t.image fun b => f a b) ⊆ u := by
simp_rw [image₂_subset_iff, image_subset_iff]
#align finset.image₂_subset_iff_left Finset.image₂_subset_iff_left
theorem image₂_subset_iff_right : image₂ f s t ⊆ u ↔ ∀ b ∈ t, (s.image fun a => f a b) ⊆ u := by
simp_rw [image₂_subset_iff, image_subset_iff, @forall₂_swap α]
#align finset.image₂_subset_iff_right Finset.image₂_subset_iff_right
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem image₂_nonempty_iff : (image₂ f s t).Nonempty ↔ s.Nonempty ∧ t.Nonempty := by
rw [← coe_nonempty, coe_image₂]
exact image2_nonempty_iff
#align finset.image₂_nonempty_iff Finset.image₂_nonempty_iff
theorem Nonempty.image₂ (hs : s.Nonempty) (ht : t.Nonempty) : (image₂ f s t).Nonempty :=
image₂_nonempty_iff.2 ⟨hs, ht⟩
#align finset.nonempty.image₂ Finset.Nonempty.image₂
theorem Nonempty.of_image₂_left (h : (s.image₂ f t).Nonempty) : s.Nonempty :=
(image₂_nonempty_iff.1 h).1
#align finset.nonempty.of_image₂_left Finset.Nonempty.of_image₂_left
theorem Nonempty.of_image₂_right (h : (s.image₂ f t).Nonempty) : t.Nonempty :=
(image₂_nonempty_iff.1 h).2
#align finset.nonempty.of_image₂_right Finset.Nonempty.of_image₂_right
@[simp]
theorem image₂_empty_left : image₂ f ∅ t = ∅ :=
coe_injective <| by simp
#align finset.image₂_empty_left Finset.image₂_empty_left
@[simp]
theorem image₂_empty_right : image₂ f s ∅ = ∅ :=
coe_injective <| by simp
#align finset.image₂_empty_right Finset.image₂_empty_right
@[simp]
theorem image₂_eq_empty_iff : image₂ f s t = ∅ ↔ s = ∅ ∨ t = ∅ := by
simp_rw [← not_nonempty_iff_eq_empty, image₂_nonempty_iff, not_and_or]
#align finset.image₂_eq_empty_iff Finset.image₂_eq_empty_iff
@[simp]
theorem image₂_singleton_left : image₂ f {a} t = t.image fun b => f a b :=
ext fun x => by simp
#align finset.image₂_singleton_left Finset.image₂_singleton_left
@[simp]
theorem image₂_singleton_right : image₂ f s {b} = s.image fun a => f a b :=
ext fun x => by simp
#align finset.image₂_singleton_right Finset.image₂_singleton_right
theorem image₂_singleton_left' : image₂ f {a} t = t.image (f a) :=
image₂_singleton_left
#align finset.image₂_singleton_left' Finset.image₂_singleton_left'
theorem image₂_singleton : image₂ f {a} {b} = {f a b} := by simp
#align finset.image₂_singleton Finset.image₂_singleton
theorem image₂_union_left [DecidableEq α] : image₂ f (s ∪ s') t = image₂ f s t ∪ image₂ f s' t :=
coe_injective <| by
push_cast
exact image2_union_left
#align finset.image₂_union_left Finset.image₂_union_left
theorem image₂_union_right [DecidableEq β] : image₂ f s (t ∪ t') = image₂ f s t ∪ image₂ f s t' :=
coe_injective <| by
push_cast
exact image2_union_right
#align finset.image₂_union_right Finset.image₂_union_right
@[simp]
theorem image₂_insert_left [DecidableEq α] :
image₂ f (insert a s) t = (t.image fun b => f a b) ∪ image₂ f s t :=
coe_injective <| by
push_cast
exact image2_insert_left
#align finset.image₂_insert_left Finset.image₂_insert_left
@[simp]
theorem image₂_insert_right [DecidableEq β] :
image₂ f s (insert b t) = (s.image fun a => f a b) ∪ image₂ f s t :=
coe_injective <| by
push_cast
exact image2_insert_right
#align finset.image₂_insert_right Finset.image₂_insert_right
theorem image₂_inter_left [DecidableEq α] (hf : Injective2 f) :
image₂ f (s ∩ s') t = image₂ f s t ∩ image₂ f s' t :=
coe_injective <| by
push_cast
exact image2_inter_left hf
#align finset.image₂_inter_left Finset.image₂_inter_left
theorem image₂_inter_right [DecidableEq β] (hf : Injective2 f) :
image₂ f s (t ∩ t') = image₂ f s t ∩ image₂ f s t' :=
coe_injective <| by
push_cast
exact image2_inter_right hf
#align finset.image₂_inter_right Finset.image₂_inter_right
theorem image₂_inter_subset_left [DecidableEq α] :
image₂ f (s ∩ s') t ⊆ image₂ f s t ∩ image₂ f s' t :=
coe_subset.1 <| by
push_cast
exact image2_inter_subset_left
#align finset.image₂_inter_subset_left Finset.image₂_inter_subset_left
theorem image₂_inter_subset_right [DecidableEq β] :
image₂ f s (t ∩ t') ⊆ image₂ f s t ∩ image₂ f s t' :=
coe_subset.1 <| by
push_cast
exact image2_inter_subset_right
#align finset.image₂_inter_subset_right Finset.image₂_inter_subset_right
theorem image₂_congr (h : ∀ a ∈ s, ∀ b ∈ t, f a b = f' a b) : image₂ f s t = image₂ f' s t :=
coe_injective <| by
push_cast
exact image2_congr h
#align finset.image₂_congr Finset.image₂_congr
/-- A common special case of `image₂_congr` -/
theorem image₂_congr' (h : ∀ a b, f a b = f' a b) : image₂ f s t = image₂ f' s t :=
image₂_congr fun a _ b _ => h a b
#align finset.image₂_congr' Finset.image₂_congr'
variable (s t)
theorem card_image₂_singleton_left (hf : Injective (f a)) : (image₂ f {a} t).card = t.card := by
rw [image₂_singleton_left, card_image_of_injective _ hf]
#align finset.card_image₂_singleton_left Finset.card_image₂_singleton_left
theorem card_image₂_singleton_right (hf : Injective fun a => f a b) :
(image₂ f s {b}).card = s.card := by rw [image₂_singleton_right, card_image_of_injective _ hf]
#align finset.card_image₂_singleton_right Finset.card_image₂_singleton_right
theorem image₂_singleton_inter [DecidableEq β] (t₁ t₂ : Finset β) (hf : Injective (f a)) :
image₂ f {a} (t₁ ∩ t₂) = image₂ f {a} t₁ ∩ image₂ f {a} t₂ := by
simp_rw [image₂_singleton_left, image_inter _ _ hf]
#align finset.image₂_singleton_inter Finset.image₂_singleton_inter
| Mathlib/Data/Finset/NAry.lean | 248 | 250 | theorem image₂_inter_singleton [DecidableEq α] (s₁ s₂ : Finset α) (hf : Injective fun a => f a b) :
image₂ f (s₁ ∩ s₂) {b} = image₂ f s₁ {b} ∩ image₂ f s₂ {b} := by |
simp_rw [image₂_singleton_right, image_inter _ _ hf]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Johan Commelin, Mario Carneiro
-/
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Algebra.MvPolynomial.Rename
import Mathlib.Algebra.MvPolynomial.Degrees
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Data.Finsupp.Fin
import Mathlib.Logic.Equiv.Fin
#align_import data.mv_polynomial.equiv from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
/-!
# Equivalences between polynomial rings
This file establishes a number of equivalences between polynomial rings,
based on equivalences between the underlying types.
## Notation
As in other polynomial files, we typically use the notation:
+ `σ : Type*` (indexing the variables)
+ `R : Type*` `[CommSemiring R]` (the coefficients)
+ `s : σ →₀ ℕ`, a function from `σ` to `ℕ` which is zero away from a finite set.
This will give rise to a monomial in `MvPolynomial σ R` which mathematicians might call `X^s`
+ `a : R`
+ `i : σ`, with corresponding monomial `X i`, often denoted `X_i` by mathematicians
+ `p : MvPolynomial σ R`
## Tags
equivalence, isomorphism, morphism, ring hom, hom
-/
noncomputable section
open Polynomial Set Function Finsupp AddMonoidAlgebra
universe u v w x
variable {R : Type u} {S₁ : Type v} {S₂ : Type w} {S₃ : Type x}
namespace MvPolynomial
variable {σ : Type*} {a a' a₁ a₂ : R} {e : ℕ} {s : σ →₀ ℕ}
section Equiv
variable (R) [CommSemiring R]
/-- The ring isomorphism between multivariable polynomials in a single variable and
polynomials over the ground ring.
-/
@[simps]
def pUnitAlgEquiv : MvPolynomial PUnit R ≃ₐ[R] R[X] where
toFun := eval₂ Polynomial.C fun _ => Polynomial.X
invFun := Polynomial.eval₂ MvPolynomial.C (X PUnit.unit)
left_inv := by
let f : R[X] →+* MvPolynomial PUnit R := Polynomial.eval₂RingHom MvPolynomial.C (X PUnit.unit)
let g : MvPolynomial PUnit R →+* R[X] := eval₂Hom Polynomial.C fun _ => Polynomial.X
show ∀ p, f.comp g p = p
apply is_id
· ext a
dsimp [f, g]
rw [eval₂_C, Polynomial.eval₂_C]
· rintro ⟨⟩
dsimp [f, g]
rw [eval₂_X, Polynomial.eval₂_X]
right_inv p :=
Polynomial.induction_on p (fun a => by rw [Polynomial.eval₂_C, MvPolynomial.eval₂_C])
(fun p q hp hq => by rw [Polynomial.eval₂_add, MvPolynomial.eval₂_add, hp, hq]) fun p n _ => by
rw [Polynomial.eval₂_mul, Polynomial.eval₂_pow, Polynomial.eval₂_X, Polynomial.eval₂_C,
eval₂_mul, eval₂_C, eval₂_pow, eval₂_X]
map_mul' _ _ := eval₂_mul _ _
map_add' _ _ := eval₂_add _ _
commutes' _ := eval₂_C _ _ _
#align mv_polynomial.punit_alg_equiv MvPolynomial.pUnitAlgEquiv
section Map
variable {R} (σ)
/-- If `e : A ≃+* B` is an isomorphism of rings, then so is `map e`. -/
@[simps apply]
def mapEquiv [CommSemiring S₁] [CommSemiring S₂] (e : S₁ ≃+* S₂) :
MvPolynomial σ S₁ ≃+* MvPolynomial σ S₂ :=
{ map (e : S₁ →+* S₂) with
toFun := map (e : S₁ →+* S₂)
invFun := map (e.symm : S₂ →+* S₁)
left_inv := map_leftInverse e.left_inv
right_inv := map_rightInverse e.right_inv }
#align mv_polynomial.map_equiv MvPolynomial.mapEquiv
@[simp]
theorem mapEquiv_refl : mapEquiv σ (RingEquiv.refl R) = RingEquiv.refl _ :=
RingEquiv.ext map_id
#align mv_polynomial.map_equiv_refl MvPolynomial.mapEquiv_refl
@[simp]
theorem mapEquiv_symm [CommSemiring S₁] [CommSemiring S₂] (e : S₁ ≃+* S₂) :
(mapEquiv σ e).symm = mapEquiv σ e.symm :=
rfl
#align mv_polynomial.map_equiv_symm MvPolynomial.mapEquiv_symm
@[simp]
theorem mapEquiv_trans [CommSemiring S₁] [CommSemiring S₂] [CommSemiring S₃] (e : S₁ ≃+* S₂)
(f : S₂ ≃+* S₃) : (mapEquiv σ e).trans (mapEquiv σ f) = mapEquiv σ (e.trans f) :=
RingEquiv.ext fun p => by
simp only [RingEquiv.coe_trans, comp_apply, mapEquiv_apply, RingEquiv.coe_ringHom_trans,
map_map]
#align mv_polynomial.map_equiv_trans MvPolynomial.mapEquiv_trans
variable {A₁ A₂ A₃ : Type*} [CommSemiring A₁] [CommSemiring A₂] [CommSemiring A₃]
variable [Algebra R A₁] [Algebra R A₂] [Algebra R A₃]
/-- If `e : A ≃ₐ[R] B` is an isomorphism of `R`-algebras, then so is `map e`. -/
@[simps apply]
def mapAlgEquiv (e : A₁ ≃ₐ[R] A₂) : MvPolynomial σ A₁ ≃ₐ[R] MvPolynomial σ A₂ :=
{ mapAlgHom (e : A₁ →ₐ[R] A₂), mapEquiv σ (e : A₁ ≃+* A₂) with toFun := map (e : A₁ →+* A₂) }
#align mv_polynomial.map_alg_equiv MvPolynomial.mapAlgEquiv
@[simp]
theorem mapAlgEquiv_refl : mapAlgEquiv σ (AlgEquiv.refl : A₁ ≃ₐ[R] A₁) = AlgEquiv.refl :=
AlgEquiv.ext map_id
#align mv_polynomial.map_alg_equiv_refl MvPolynomial.mapAlgEquiv_refl
@[simp]
theorem mapAlgEquiv_symm (e : A₁ ≃ₐ[R] A₂) : (mapAlgEquiv σ e).symm = mapAlgEquiv σ e.symm :=
rfl
#align mv_polynomial.map_alg_equiv_symm MvPolynomial.mapAlgEquiv_symm
@[simp]
theorem mapAlgEquiv_trans (e : A₁ ≃ₐ[R] A₂) (f : A₂ ≃ₐ[R] A₃) :
(mapAlgEquiv σ e).trans (mapAlgEquiv σ f) = mapAlgEquiv σ (e.trans f) := by
ext
simp only [AlgEquiv.trans_apply, mapAlgEquiv_apply, map_map]
rfl
#align mv_polynomial.map_alg_equiv_trans MvPolynomial.mapAlgEquiv_trans
end Map
section
variable (S₁ S₂ S₃)
/-- The function from multivariable polynomials in a sum of two types,
to multivariable polynomials in one of the types,
with coefficients in multivariable polynomials in the other type.
See `sumRingEquiv` for the ring isomorphism.
-/
def sumToIter : MvPolynomial (Sum S₁ S₂) R →+* MvPolynomial S₁ (MvPolynomial S₂ R) :=
eval₂Hom (C.comp C) fun bc => Sum.recOn bc X (C ∘ X)
#align mv_polynomial.sum_to_iter MvPolynomial.sumToIter
@[simp]
theorem sumToIter_C (a : R) : sumToIter R S₁ S₂ (C a) = C (C a) :=
eval₂_C _ _ a
set_option linter.uppercaseLean3 false in
#align mv_polynomial.sum_to_iter_C MvPolynomial.sumToIter_C
@[simp]
theorem sumToIter_Xl (b : S₁) : sumToIter R S₁ S₂ (X (Sum.inl b)) = X b :=
eval₂_X _ _ (Sum.inl b)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.sum_to_iter_Xl MvPolynomial.sumToIter_Xl
@[simp]
theorem sumToIter_Xr (c : S₂) : sumToIter R S₁ S₂ (X (Sum.inr c)) = C (X c) :=
eval₂_X _ _ (Sum.inr c)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.sum_to_iter_Xr MvPolynomial.sumToIter_Xr
/-- The function from multivariable polynomials in one type,
with coefficients in multivariable polynomials in another type,
to multivariable polynomials in the sum of the two types.
See `sumRingEquiv` for the ring isomorphism.
-/
def iterToSum : MvPolynomial S₁ (MvPolynomial S₂ R) →+* MvPolynomial (Sum S₁ S₂) R :=
eval₂Hom (eval₂Hom C (X ∘ Sum.inr)) (X ∘ Sum.inl)
#align mv_polynomial.iter_to_sum MvPolynomial.iterToSum
@[simp]
theorem iterToSum_C_C (a : R) : iterToSum R S₁ S₂ (C (C a)) = C a :=
Eq.trans (eval₂_C _ _ (C a)) (eval₂_C _ _ _)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.iter_to_sum_C_C MvPolynomial.iterToSum_C_C
@[simp]
theorem iterToSum_X (b : S₁) : iterToSum R S₁ S₂ (X b) = X (Sum.inl b) :=
eval₂_X _ _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.iter_to_sum_X MvPolynomial.iterToSum_X
@[simp]
theorem iterToSum_C_X (c : S₂) : iterToSum R S₁ S₂ (C (X c)) = X (Sum.inr c) :=
Eq.trans (eval₂_C _ _ (X c)) (eval₂_X _ _ _)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.iter_to_sum_C_X MvPolynomial.iterToSum_C_X
variable (σ)
/-- The algebra isomorphism between multivariable polynomials in no variables
and the ground ring. -/
@[simps!]
def isEmptyAlgEquiv [he : IsEmpty σ] : MvPolynomial σ R ≃ₐ[R] R :=
AlgEquiv.ofAlgHom (aeval (IsEmpty.elim he)) (Algebra.ofId _ _)
(by ext)
(by
ext i m
exact IsEmpty.elim' he i)
#align mv_polynomial.is_empty_alg_equiv MvPolynomial.isEmptyAlgEquiv
/-- The ring isomorphism between multivariable polynomials in no variables
and the ground ring. -/
@[simps!]
def isEmptyRingEquiv [IsEmpty σ] : MvPolynomial σ R ≃+* R :=
(isEmptyAlgEquiv R σ).toRingEquiv
#align mv_polynomial.is_empty_ring_equiv MvPolynomial.isEmptyRingEquiv
variable {σ}
/-- A helper function for `sumRingEquiv`. -/
@[simps]
def mvPolynomialEquivMvPolynomial [CommSemiring S₃] (f : MvPolynomial S₁ R →+* MvPolynomial S₂ S₃)
(g : MvPolynomial S₂ S₃ →+* MvPolynomial S₁ R) (hfgC : (f.comp g).comp C = C)
(hfgX : ∀ n, f (g (X n)) = X n) (hgfC : (g.comp f).comp C = C) (hgfX : ∀ n, g (f (X n)) = X n) :
MvPolynomial S₁ R ≃+* MvPolynomial S₂ S₃ where
toFun := f
invFun := g
left_inv := is_id (RingHom.comp _ _) hgfC hgfX
right_inv := is_id (RingHom.comp _ _) hfgC hfgX
map_mul' := f.map_mul
map_add' := f.map_add
#align mv_polynomial.mv_polynomial_equiv_mv_polynomial MvPolynomial.mvPolynomialEquivMvPolynomial
/-- The ring isomorphism between multivariable polynomials in a sum of two types,
and multivariable polynomials in one of the types,
with coefficients in multivariable polynomials in the other type.
-/
def sumRingEquiv : MvPolynomial (Sum S₁ S₂) R ≃+* MvPolynomial S₁ (MvPolynomial S₂ R) := by
apply mvPolynomialEquivMvPolynomial R (Sum S₁ S₂) _ _ (sumToIter R S₁ S₂) (iterToSum R S₁ S₂)
· refine RingHom.ext (hom_eq_hom _ _ ?hC ?hX)
case hC => ext1; simp only [RingHom.comp_apply, iterToSum_C_C, sumToIter_C]
case hX => intro; simp only [RingHom.comp_apply, iterToSum_C_X, sumToIter_Xr]
· simp [iterToSum_X, sumToIter_Xl]
· ext1; simp only [RingHom.comp_apply, sumToIter_C, iterToSum_C_C]
· rintro ⟨⟩ <;> simp only [sumToIter_Xl, iterToSum_X, sumToIter_Xr, iterToSum_C_X]
#align mv_polynomial.sum_ring_equiv MvPolynomial.sumRingEquiv
/-- The algebra isomorphism between multivariable polynomials in a sum of two types,
and multivariable polynomials in one of the types,
with coefficients in multivariable polynomials in the other type.
-/
@[simps!]
def sumAlgEquiv : MvPolynomial (Sum S₁ S₂) R ≃ₐ[R] MvPolynomial S₁ (MvPolynomial S₂ R) :=
{ sumRingEquiv R S₁ S₂ with
commutes' := by
intro r
have A : algebraMap R (MvPolynomial S₁ (MvPolynomial S₂ R)) r = (C (C r) : _) := rfl
have B : algebraMap R (MvPolynomial (Sum S₁ S₂) R) r = C r := rfl
simp only [sumRingEquiv, mvPolynomialEquivMvPolynomial, Equiv.toFun_as_coe,
Equiv.coe_fn_mk, B, sumToIter_C, A] }
#align mv_polynomial.sum_alg_equiv MvPolynomial.sumAlgEquiv
section
-- this speeds up typeclass search in the lemma below
attribute [local instance] IsScalarTower.right
/-- The algebra isomorphism between multivariable polynomials in `Option S₁` and
polynomials with coefficients in `MvPolynomial S₁ R`.
-/
@[simps!]
def optionEquivLeft : MvPolynomial (Option S₁) R ≃ₐ[R] Polynomial (MvPolynomial S₁ R) :=
AlgEquiv.ofAlgHom (MvPolynomial.aeval fun o => o.elim Polynomial.X fun s => Polynomial.C (X s))
(Polynomial.aevalTower (MvPolynomial.rename some) (X none))
(by ext : 2 <;> simp) (by ext i : 2; cases i <;> simp)
#align mv_polynomial.option_equiv_left MvPolynomial.optionEquivLeft
lemma optionEquivLeft_X_some (x : S₁) : optionEquivLeft R S₁ (X (some x)) = Polynomial.C (X x) := by
simp only [optionEquivLeft_apply, aeval_X]
lemma optionEquivLeft_X_none : optionEquivLeft R S₁ (X none) = Polynomial.X := by
simp only [optionEquivLeft_apply, aeval_X]
lemma optionEquivLeft_C (r : R) : optionEquivLeft R S₁ (C r) = Polynomial.C (C r) := by
simp only [optionEquivLeft_apply, aeval_C, Polynomial.algebraMap_apply, algebraMap_eq]
end
/-- The algebra isomorphism between multivariable polynomials in `Option S₁` and
multivariable polynomials with coefficients in polynomials.
-/
@[simps!]
def optionEquivRight : MvPolynomial (Option S₁) R ≃ₐ[R] MvPolynomial S₁ R[X] :=
AlgEquiv.ofAlgHom (MvPolynomial.aeval fun o => o.elim (C Polynomial.X) X)
(MvPolynomial.aevalTower (Polynomial.aeval (X none)) fun i => X (Option.some i))
(by
ext : 2 <;>
simp only [MvPolynomial.algebraMap_eq, Option.elim, AlgHom.coe_comp, AlgHom.id_comp,
IsScalarTower.coe_toAlgHom', comp_apply, aevalTower_C, Polynomial.aeval_X, aeval_X,
Option.elim', aevalTower_X, AlgHom.coe_id, id, eq_self_iff_true, imp_true_iff])
(by
ext ⟨i⟩ : 2 <;>
simp only [Option.elim, AlgHom.coe_comp, comp_apply, aeval_X, aevalTower_C,
Polynomial.aeval_X, AlgHom.coe_id, id, aevalTower_X])
#align mv_polynomial.option_equiv_right MvPolynomial.optionEquivRight
lemma optionEquivRight_X_some (x : S₁) : optionEquivRight R S₁ (X (some x)) = X x := by
simp only [optionEquivRight_apply, aeval_X]
lemma optionEquivRight_X_none : optionEquivRight R S₁ (X none) = C Polynomial.X := by
simp only [optionEquivRight_apply, aeval_X]
lemma optionEquivRight_C (r : R) : optionEquivRight R S₁ (C r) = C (Polynomial.C r) := by
simp only [optionEquivRight_apply, aeval_C, algebraMap_apply, Polynomial.algebraMap_eq]
variable (n : ℕ)
/-- The algebra isomorphism between multivariable polynomials in `Fin (n + 1)` and
polynomials over multivariable polynomials in `Fin n`.
-/
def finSuccEquiv : MvPolynomial (Fin (n + 1)) R ≃ₐ[R] Polynomial (MvPolynomial (Fin n) R) :=
(renameEquiv R (_root_.finSuccEquiv n)).trans (optionEquivLeft R (Fin n))
#align mv_polynomial.fin_succ_equiv MvPolynomial.finSuccEquiv
theorem finSuccEquiv_eq :
(finSuccEquiv R n : MvPolynomial (Fin (n + 1)) R →+* Polynomial (MvPolynomial (Fin n) R)) =
eval₂Hom (Polynomial.C.comp (C : R →+* MvPolynomial (Fin n) R)) fun i : Fin (n + 1) =>
Fin.cases Polynomial.X (fun k => Polynomial.C (X k)) i := by
ext i : 2
· simp only [finSuccEquiv, optionEquivLeft_apply, aeval_C, AlgEquiv.coe_trans, RingHom.coe_coe,
coe_eval₂Hom, comp_apply, renameEquiv_apply, eval₂_C, RingHom.coe_comp, rename_C]
rfl
· refine Fin.cases ?_ ?_ i <;> simp [finSuccEquiv]
#align mv_polynomial.fin_succ_equiv_eq MvPolynomial.finSuccEquiv_eq
@[simp]
theorem finSuccEquiv_apply (p : MvPolynomial (Fin (n + 1)) R) :
finSuccEquiv R n p =
eval₂Hom (Polynomial.C.comp (C : R →+* MvPolynomial (Fin n) R))
(fun i : Fin (n + 1) => Fin.cases Polynomial.X (fun k => Polynomial.C (X k)) i) p := by
rw [← finSuccEquiv_eq, RingHom.coe_coe]
#align mv_polynomial.fin_succ_equiv_apply MvPolynomial.finSuccEquiv_apply
theorem finSuccEquiv_comp_C_eq_C {R : Type u} [CommSemiring R] (n : ℕ) :
(↑(MvPolynomial.finSuccEquiv R n).symm : Polynomial (MvPolynomial (Fin n) R) →+* _).comp
(Polynomial.C.comp MvPolynomial.C) =
(MvPolynomial.C : R →+* MvPolynomial (Fin n.succ) R) := by
refine RingHom.ext fun x => ?_
rw [RingHom.comp_apply]
refine
(MvPolynomial.finSuccEquiv R n).injective
(Trans.trans ((MvPolynomial.finSuccEquiv R n).apply_symm_apply _) ?_)
simp only [MvPolynomial.finSuccEquiv_apply, MvPolynomial.eval₂Hom_C]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.fin_succ_equiv_comp_C_eq_C MvPolynomial.finSuccEquiv_comp_C_eq_C
variable {n} {R}
theorem finSuccEquiv_X_zero : finSuccEquiv R n (X 0) = Polynomial.X := by simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.fin_succ_equiv_X_zero MvPolynomial.finSuccEquiv_X_zero
theorem finSuccEquiv_X_succ {j : Fin n} : finSuccEquiv R n (X j.succ) = Polynomial.C (X j) := by
simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.fin_succ_equiv_X_succ MvPolynomial.finSuccEquiv_X_succ
/-- The coefficient of `m` in the `i`-th coefficient of `finSuccEquiv R n f` equals the
coefficient of `Finsupp.cons i m` in `f`. -/
theorem finSuccEquiv_coeff_coeff (m : Fin n →₀ ℕ) (f : MvPolynomial (Fin (n + 1)) R) (i : ℕ) :
coeff m (Polynomial.coeff (finSuccEquiv R n f) i) = coeff (m.cons i) f := by
induction' f using MvPolynomial.induction_on' with j r p q hp hq generalizing i m
swap
· simp only [(finSuccEquiv R n).map_add, Polynomial.coeff_add, coeff_add, hp, hq]
simp only [finSuccEquiv_apply, coe_eval₂Hom, eval₂_monomial, RingHom.coe_comp, prod_pow,
Polynomial.coeff_C_mul, coeff_C_mul, coeff_monomial, Fin.prod_univ_succ, Fin.cases_zero,
Fin.cases_succ, ← map_prod, ← RingHom.map_pow, Function.comp_apply]
rw [← mul_boole, mul_comm (Polynomial.X ^ j 0), Polynomial.coeff_C_mul_X_pow]; congr 1
obtain rfl | hjmi := eq_or_ne j (m.cons i)
· simpa only [cons_zero, cons_succ, if_pos rfl, monomial_eq, C_1, one_mul, prod_pow] using
coeff_monomial m m (1 : R)
· simp only [hjmi, if_false]
obtain hij | rfl := ne_or_eq i (j 0)
· simp only [hij, if_false, coeff_zero]
simp only [eq_self_iff_true, if_true]
have hmj : m ≠ j.tail := by
rintro rfl
rw [cons_tail] at hjmi
contradiction
simpa only [monomial_eq, C_1, one_mul, prod_pow, Finsupp.tail_apply, if_neg hmj.symm] using
coeff_monomial m j.tail (1 : R)
#align mv_polynomial.fin_succ_equiv_coeff_coeff MvPolynomial.finSuccEquiv_coeff_coeff
theorem eval_eq_eval_mv_eval' (s : Fin n → R) (y : R) (f : MvPolynomial (Fin (n + 1)) R) :
eval (Fin.cons y s : Fin (n + 1) → R) f =
Polynomial.eval y (Polynomial.map (eval s) (finSuccEquiv R n f)) := by
-- turn this into a def `Polynomial.mapAlgHom`
let φ : (MvPolynomial (Fin n) R)[X] →ₐ[R] R[X] :=
{ Polynomial.mapRingHom (eval s) with
commutes' := fun r => by
convert Polynomial.map_C (eval s)
exact (eval_C _).symm }
show
aeval (Fin.cons y s : Fin (n + 1) → R) f =
(Polynomial.aeval y).comp (φ.comp (finSuccEquiv R n).toAlgHom) f
congr 2
apply MvPolynomial.algHom_ext
rw [Fin.forall_fin_succ]
simp only [φ, aeval_X, Fin.cons_zero, AlgEquiv.toAlgHom_eq_coe, AlgHom.coe_comp,
Polynomial.coe_aeval_eq_eval, Polynomial.map_C, AlgHom.coe_mk, RingHom.toFun_eq_coe,
Polynomial.coe_mapRingHom, comp_apply, finSuccEquiv_apply, eval₂Hom_X',
Fin.cases_zero, Polynomial.map_X, Polynomial.eval_X, Fin.cons_succ,
Fin.cases_succ, eval_X, Polynomial.eval_C,
RingHom.coe_mk, MonoidHom.coe_coe, AlgHom.coe_coe, implies_true, and_self,
RingHom.toMonoidHom_eq_coe]
#align mv_polynomial.eval_eq_eval_mv_eval' MvPolynomial.eval_eq_eval_mv_eval'
theorem coeff_eval_eq_eval_coeff (s' : Fin n → R) (f : Polynomial (MvPolynomial (Fin n) R))
(i : ℕ) : Polynomial.coeff (Polynomial.map (eval s') f) i = eval s' (Polynomial.coeff f i) := by
simp only [Polynomial.coeff_map]
#align mv_polynomial.coeff_eval_eq_eval_coeff MvPolynomial.coeff_eval_eq_eval_coeff
theorem support_coeff_finSuccEquiv {f : MvPolynomial (Fin (n + 1)) R} {i : ℕ} {m : Fin n →₀ ℕ} :
m ∈ (Polynomial.coeff ((finSuccEquiv R n) f) i).support ↔ Finsupp.cons i m ∈ f.support := by
apply Iff.intro
· intro h
simpa [← finSuccEquiv_coeff_coeff] using h
· intro h
simpa [mem_support_iff, ← finSuccEquiv_coeff_coeff m f i] using h
#align mv_polynomial.support_coeff_fin_succ_equiv MvPolynomial.support_coeff_finSuccEquiv
/--
The `totalDegree` of a multivariable polynomial `p` is at least `i` more than the `totalDegree` of
the `i`th coefficient of `finSuccEquiv` applied to `p`, if this is nonzero.
-/
lemma totalDegree_coeff_finSuccEquiv_add_le (f : MvPolynomial (Fin (n + 1)) R) (i : ℕ)
(hi : (finSuccEquiv R n f).coeff i ≠ 0) :
totalDegree ((finSuccEquiv R n f).coeff i) + i ≤ totalDegree f := by
have hf'_sup : ((finSuccEquiv R n f).coeff i).support.Nonempty := by
rw [Finset.nonempty_iff_ne_empty, ne_eq, support_eq_empty]
exact hi
-- Let σ be a monomial index of ((finSuccEquiv R n p).coeff i) of maximal total degree
have ⟨σ, hσ1, hσ2⟩ := Finset.exists_mem_eq_sup (support _) hf'_sup
(fun s => Finsupp.sum s fun _ e => e)
-- Then cons i σ is a monomial index of p with total degree equal to the desired bound
let σ' : Fin (n+1) →₀ ℕ := cons i σ
convert le_totalDegree (s := σ') _
· rw [totalDegree, hσ2, sum_cons, add_comm]
· rw [← support_coeff_finSuccEquiv]
exact hσ1
| Mathlib/Algebra/MvPolynomial/Equiv.lean | 466 | 477 | theorem finSuccEquiv_support (f : MvPolynomial (Fin (n + 1)) R) :
(finSuccEquiv R n f).support = Finset.image (fun m : Fin (n + 1) →₀ ℕ => m 0) f.support := by |
ext i
rw [Polynomial.mem_support_iff, Finset.mem_image, Finsupp.ne_iff]
constructor
· rintro ⟨m, hm⟩
refine ⟨cons i m, ?_, cons_zero _ _⟩
rw [← support_coeff_finSuccEquiv]
simpa using hm
· rintro ⟨m, h, rfl⟩
refine ⟨tail m, ?_⟩
rwa [← coeff, zero_apply, ← mem_support_iff, support_coeff_finSuccEquiv, cons_tail]
|
/-
Copyright (c) 2021 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Algebra.Lie.Submodule
#align_import algebra.lie.ideal_operations from "leanprover-community/mathlib"@"8983bec7cdf6cb2dd1f21315c8a34ab00d7b2f6d"
/-!
# Ideal operations for Lie algebras
Given a Lie module `M` over a Lie algebra `L`, there is a natural action of the Lie ideals of `L`
on the Lie submodules of `M`. In the special case that `M = L` with the adjoint action, this
provides a pairing of Lie ideals which is especially important. For example, it can be used to
define solvability / nilpotency of a Lie algebra via the derived / lower-central series.
## Main definitions
* `LieSubmodule.hasBracket`
* `LieSubmodule.lieIdeal_oper_eq_linear_span`
* `LieIdeal.map_bracket_le`
* `LieIdeal.comap_bracket_le`
## Notation
Given a Lie module `M` over a Lie algebra `L`, together with a Lie submodule `N ⊆ M` and a Lie
ideal `I ⊆ L`, we introduce the notation `⁅I, N⁆` for the Lie submodule of `M` corresponding to
the action defined in this file.
## Tags
lie algebra, ideal operation
-/
universe u v w w₁ w₂
namespace LieSubmodule
variable {R : Type u} {L : Type v} {M : Type w} {M₂ : Type w₁}
variable [CommRing R] [LieRing L] [LieAlgebra R L]
variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M]
variable [AddCommGroup M₂] [Module R M₂] [LieRingModule L M₂] [LieModule R L M₂]
variable (N N' : LieSubmodule R L M) (I J : LieIdeal R L) (N₂ : LieSubmodule R L M₂)
section LieIdealOperations
/-- Given a Lie module `M` over a Lie algebra `L`, the set of Lie ideals of `L` acts on the set
of submodules of `M`. -/
instance hasBracket : Bracket (LieIdeal R L) (LieSubmodule R L M) :=
⟨fun I N => lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m }⟩
#align lie_submodule.has_bracket LieSubmodule.hasBracket
theorem lieIdeal_oper_eq_span :
⁅I, N⁆ = lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } :=
rfl
#align lie_submodule.lie_ideal_oper_eq_span LieSubmodule.lieIdeal_oper_eq_span
/-- See also `LieSubmodule.lieIdeal_oper_eq_linear_span'` and
`LieSubmodule.lieIdeal_oper_eq_tensor_map_range`. -/
theorem lieIdeal_oper_eq_linear_span :
(↑⁅I, N⁆ : Submodule R M) =
Submodule.span R { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := by
apply le_antisymm
· let s := { m : M | ∃ (x : ↥I) (n : ↥N), ⁅(x : L), (n : M)⁆ = m }
have aux : ∀ (y : L), ∀ m' ∈ Submodule.span R s, ⁅y, m'⁆ ∈ Submodule.span R s := by
intro y m' hm'
refine Submodule.span_induction (R := R) (M := M) (s := s)
(p := fun m' ↦ ⁅y, m'⁆ ∈ Submodule.span R s) hm' ?_ ?_ ?_ ?_
· rintro m'' ⟨x, n, hm''⟩; rw [← hm'', leibniz_lie]
refine Submodule.add_mem _ ?_ ?_ <;> apply Submodule.subset_span
· use ⟨⁅y, ↑x⁆, I.lie_mem x.property⟩, n
· use x, ⟨⁅y, ↑n⁆, N.lie_mem n.property⟩
· simp only [lie_zero, Submodule.zero_mem]
· intro m₁ m₂ hm₁ hm₂; rw [lie_add]; exact Submodule.add_mem _ hm₁ hm₂
· intro t m'' hm''; rw [lie_smul]; exact Submodule.smul_mem _ t hm''
change _ ≤ ({ Submodule.span R s with lie_mem := fun hm' => aux _ _ hm' } : LieSubmodule R L M)
rw [lieIdeal_oper_eq_span, lieSpan_le]
exact Submodule.subset_span
· rw [lieIdeal_oper_eq_span]; apply submodule_span_le_lieSpan
#align lie_submodule.lie_ideal_oper_eq_linear_span LieSubmodule.lieIdeal_oper_eq_linear_span
theorem lieIdeal_oper_eq_linear_span' :
(↑⁅I, N⁆ : Submodule R M) = Submodule.span R { m | ∃ x ∈ I, ∃ n ∈ N, ⁅x, n⁆ = m } := by
rw [lieIdeal_oper_eq_linear_span]
congr
ext m
constructor
· rintro ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩
exact ⟨x, hx, n, hn, rfl⟩
· rintro ⟨x, hx, n, hn, rfl⟩
exact ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩
#align lie_submodule.lie_ideal_oper_eq_linear_span' LieSubmodule.lieIdeal_oper_eq_linear_span'
theorem lie_le_iff : ⁅I, N⁆ ≤ N' ↔ ∀ x ∈ I, ∀ m ∈ N, ⁅x, m⁆ ∈ N' := by
rw [lieIdeal_oper_eq_span, LieSubmodule.lieSpan_le]
refine ⟨fun h x hx m hm => h ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩, ?_⟩
rintro h _ ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩
exact h x hx m hm
#align lie_submodule.lie_le_iff LieSubmodule.lie_le_iff
theorem lie_coe_mem_lie (x : I) (m : N) : ⁅(x : L), (m : M)⁆ ∈ ⁅I, N⁆ := by
rw [lieIdeal_oper_eq_span]; apply subset_lieSpan; use x, m
#align lie_submodule.lie_coe_mem_lie LieSubmodule.lie_coe_mem_lie
theorem lie_mem_lie {x : L} {m : M} (hx : x ∈ I) (hm : m ∈ N) : ⁅x, m⁆ ∈ ⁅I, N⁆ :=
N.lie_coe_mem_lie I ⟨x, hx⟩ ⟨m, hm⟩
#align lie_submodule.lie_mem_lie LieSubmodule.lie_mem_lie
theorem lie_comm : ⁅I, J⁆ = ⁅J, I⁆ := by
suffices ∀ I J : LieIdeal R L, ⁅I, J⁆ ≤ ⁅J, I⁆ by exact le_antisymm (this I J) (this J I)
clear! I J; intro I J
rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro x ⟨y, z, h⟩; rw [← h]
rw [← lie_skew, ← lie_neg, ← LieSubmodule.coe_neg]
apply lie_coe_mem_lie
#align lie_submodule.lie_comm LieSubmodule.lie_comm
theorem lie_le_right : ⁅I, N⁆ ≤ N := by
rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro m ⟨x, n, hn⟩; rw [← hn]
exact N.lie_mem n.property
#align lie_submodule.lie_le_right LieSubmodule.lie_le_right
theorem lie_le_left : ⁅I, J⁆ ≤ I := by rw [lie_comm]; exact lie_le_right I J
#align lie_submodule.lie_le_left LieSubmodule.lie_le_left
theorem lie_le_inf : ⁅I, J⁆ ≤ I ⊓ J := by rw [le_inf_iff]; exact ⟨lie_le_left I J, lie_le_right J I⟩
#align lie_submodule.lie_le_inf LieSubmodule.lie_le_inf
@[simp]
theorem lie_bot : ⁅I, (⊥ : LieSubmodule R L M)⁆ = ⊥ := by rw [eq_bot_iff]; apply lie_le_right
#align lie_submodule.lie_bot LieSubmodule.lie_bot
@[simp]
theorem bot_lie : ⁅(⊥ : LieIdeal R L), N⁆ = ⊥ := by
suffices ⁅(⊥ : LieIdeal R L), N⁆ ≤ ⊥ by exact le_bot_iff.mp this
rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro m ⟨⟨x, hx⟩, n, hn⟩; rw [← hn]
change x ∈ (⊥ : LieIdeal R L) at hx; rw [mem_bot] at hx; simp [hx]
#align lie_submodule.bot_lie LieSubmodule.bot_lie
theorem lie_eq_bot_iff : ⁅I, N⁆ = ⊥ ↔ ∀ x ∈ I, ∀ m ∈ N, ⁅(x : L), m⁆ = 0 := by
rw [lieIdeal_oper_eq_span, LieSubmodule.lieSpan_eq_bot_iff]
refine ⟨fun h x hx m hm => h ⁅x, m⁆ ⟨⟨x, hx⟩, ⟨m, hm⟩, rfl⟩, ?_⟩
rintro h - ⟨⟨x, hx⟩, ⟨⟨n, hn⟩, rfl⟩⟩
exact h x hx n hn
#align lie_submodule.lie_eq_bot_iff LieSubmodule.lie_eq_bot_iff
theorem mono_lie (h₁ : I ≤ J) (h₂ : N ≤ N') : ⁅I, N⁆ ≤ ⁅J, N'⁆ := by
intro m h
rw [lieIdeal_oper_eq_span, mem_lieSpan] at h; rw [lieIdeal_oper_eq_span, mem_lieSpan]
intro N hN; apply h; rintro m' ⟨⟨x, hx⟩, ⟨n, hn⟩, hm⟩; rw [← hm]; apply hN
use ⟨x, h₁ hx⟩, ⟨n, h₂ hn⟩
#align lie_submodule.mono_lie LieSubmodule.mono_lie
theorem mono_lie_left (h : I ≤ J) : ⁅I, N⁆ ≤ ⁅J, N⁆ :=
mono_lie _ _ _ _ h (le_refl N)
#align lie_submodule.mono_lie_left LieSubmodule.mono_lie_left
theorem mono_lie_right (h : N ≤ N') : ⁅I, N⁆ ≤ ⁅I, N'⁆ :=
mono_lie _ _ _ _ (le_refl I) h
#align lie_submodule.mono_lie_right LieSubmodule.mono_lie_right
@[simp]
theorem lie_sup : ⁅I, N ⊔ N'⁆ = ⁅I, N⁆ ⊔ ⁅I, N'⁆ := by
have h : ⁅I, N⁆ ⊔ ⁅I, N'⁆ ≤ ⁅I, N ⊔ N'⁆ := by
rw [sup_le_iff]; constructor <;>
apply mono_lie_right <;> [exact le_sup_left; exact le_sup_right]
suffices ⁅I, N ⊔ N'⁆ ≤ ⁅I, N⁆ ⊔ ⁅I, N'⁆ by exact le_antisymm this h
rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro m ⟨x, ⟨n, hn⟩, h⟩; erw [LieSubmodule.mem_sup]
erw [LieSubmodule.mem_sup] at hn; rcases hn with ⟨n₁, hn₁, n₂, hn₂, hn'⟩
use ⁅(x : L), (⟨n₁, hn₁⟩ : N)⁆; constructor; · apply lie_coe_mem_lie
use ⁅(x : L), (⟨n₂, hn₂⟩ : N')⁆; constructor; · apply lie_coe_mem_lie
simp [← h, ← hn']
#align lie_submodule.lie_sup LieSubmodule.lie_sup
@[simp]
theorem sup_lie : ⁅I ⊔ J, N⁆ = ⁅I, N⁆ ⊔ ⁅J, N⁆ := by
have h : ⁅I, N⁆ ⊔ ⁅J, N⁆ ≤ ⁅I ⊔ J, N⁆ := by
rw [sup_le_iff]; constructor <;>
apply mono_lie_left <;> [exact le_sup_left; exact le_sup_right]
suffices ⁅I ⊔ J, N⁆ ≤ ⁅I, N⁆ ⊔ ⁅J, N⁆ by exact le_antisymm this h
rw [lieIdeal_oper_eq_span, lieSpan_le]; rintro m ⟨⟨x, hx⟩, n, h⟩; erw [LieSubmodule.mem_sup]
erw [LieSubmodule.mem_sup] at hx; rcases hx with ⟨x₁, hx₁, x₂, hx₂, hx'⟩
use ⁅((⟨x₁, hx₁⟩ : I) : L), (n : N)⁆; constructor; · apply lie_coe_mem_lie
use ⁅((⟨x₂, hx₂⟩ : J) : L), (n : N)⁆; constructor; · apply lie_coe_mem_lie
simp [← h, ← hx']
#align lie_submodule.sup_lie LieSubmodule.sup_lie
-- @[simp] -- Porting note: not in simpNF
theorem lie_inf : ⁅I, N ⊓ N'⁆ ≤ ⁅I, N⁆ ⊓ ⁅I, N'⁆ := by
rw [le_inf_iff]; constructor <;>
apply mono_lie_right <;> [exact inf_le_left; exact inf_le_right]
#align lie_submodule.lie_inf LieSubmodule.lie_inf
-- @[simp] -- Porting note: not in simpNF
theorem inf_lie : ⁅I ⊓ J, N⁆ ≤ ⁅I, N⁆ ⊓ ⁅J, N⁆ := by
rw [le_inf_iff]; constructor <;>
apply mono_lie_left <;> [exact inf_le_left; exact inf_le_right]
#align lie_submodule.inf_lie LieSubmodule.inf_lie
variable (f : M →ₗ⁅R,L⁆ M₂)
theorem map_bracket_eq : map f ⁅I, N⁆ = ⁅I, map f N⁆ := by
rw [← coe_toSubmodule_eq_iff, coeSubmodule_map, lieIdeal_oper_eq_linear_span,
lieIdeal_oper_eq_linear_span, Submodule.map_span]
congr
ext m
constructor
· rintro ⟨-, ⟨⟨x, ⟨n, hn⟩, rfl⟩, hm⟩⟩
simp only [LieModuleHom.coe_toLinearMap, LieModuleHom.map_lie] at hm
exact ⟨x, ⟨f n, (mem_map (f n)).mpr ⟨n, hn, rfl⟩⟩, hm⟩
· rintro ⟨x, ⟨m₂, hm₂ : m₂ ∈ map f N⟩, rfl⟩
obtain ⟨n, hn, rfl⟩ := (mem_map m₂).mp hm₂
exact ⟨⁅x, n⁆, ⟨x, ⟨n, hn⟩, rfl⟩, by simp⟩
#align lie_submodule.map_bracket_eq LieSubmodule.map_bracket_eq
theorem map_comap_le : map f (comap f N₂) ≤ N₂ :=
(N₂ : Set M₂).image_preimage_subset f
#align lie_submodule.map_comap_le LieSubmodule.map_comap_le
theorem map_comap_eq (hf : N₂ ≤ f.range) : map f (comap f N₂) = N₂ := by
rw [SetLike.ext'_iff]
exact Set.image_preimage_eq_of_subset hf
#align lie_submodule.map_comap_eq LieSubmodule.map_comap_eq
theorem le_comap_map : N ≤ comap f (map f N) :=
(N : Set M).subset_preimage_image f
#align lie_submodule.le_comap_map LieSubmodule.le_comap_map
theorem comap_map_eq (hf : f.ker = ⊥) : comap f (map f N) = N := by
rw [SetLike.ext'_iff]
exact (N : Set M).preimage_image_eq (f.ker_eq_bot.mp hf)
#align lie_submodule.comap_map_eq LieSubmodule.comap_map_eq
theorem comap_bracket_eq (hf₁ : f.ker = ⊥) (hf₂ : N₂ ≤ f.range) :
comap f ⁅I, N₂⁆ = ⁅I, comap f N₂⁆ := by
conv_lhs => rw [← map_comap_eq N₂ f hf₂]
rw [← map_bracket_eq, comap_map_eq _ f hf₁]
#align lie_submodule.comap_bracket_eq LieSubmodule.comap_bracket_eq
@[simp]
theorem map_comap_incl : map N.incl (comap N.incl N') = N ⊓ N' := by
rw [← coe_toSubmodule_eq_iff]
exact (N : Submodule R M).map_comap_subtype N'
#align lie_submodule.map_comap_incl LieSubmodule.map_comap_incl
end LieIdealOperations
end LieSubmodule
namespace LieIdeal
open LieAlgebra
variable {R : Type u} {L : Type v} {L' : Type w₂}
variable [CommRing R] [LieRing L] [LieAlgebra R L] [LieRing L'] [LieAlgebra R L']
variable (f : L →ₗ⁅R⁆ L') (I : LieIdeal R L) (J : LieIdeal R L')
/-- Note that the inequality can be strict; e.g., the inclusion of an Abelian subalgebra of a
simple algebra. -/
theorem map_bracket_le {I₁ I₂ : LieIdeal R L} : map f ⁅I₁, I₂⁆ ≤ ⁅map f I₁, map f I₂⁆ := by
rw [map_le_iff_le_comap]; erw [LieSubmodule.lieSpan_le]
intro x hx; obtain ⟨⟨y₁, hy₁⟩, ⟨y₂, hy₂⟩, hx⟩ := hx; rw [← hx]
let fy₁ : ↥(map f I₁) := ⟨f y₁, mem_map hy₁⟩
let fy₂ : ↥(map f I₂) := ⟨f y₂, mem_map hy₂⟩
change _ ∈ comap f ⁅map f I₁, map f I₂⁆
simp only [Submodule.coe_mk, mem_comap, LieHom.map_lie]
exact LieSubmodule.lie_coe_mem_lie _ _ fy₁ fy₂
#align lie_ideal.map_bracket_le LieIdeal.map_bracket_le
theorem map_bracket_eq {I₁ I₂ : LieIdeal R L} (h : Function.Surjective f) :
map f ⁅I₁, I₂⁆ = ⁅map f I₁, map f I₂⁆ := by
suffices ⁅map f I₁, map f I₂⁆ ≤ map f ⁅I₁, I₂⁆ by exact le_antisymm (map_bracket_le f) this
rw [← LieSubmodule.coeSubmodule_le_coeSubmodule, coe_map_of_surjective h,
LieSubmodule.lieIdeal_oper_eq_linear_span, LieSubmodule.lieIdeal_oper_eq_linear_span,
LinearMap.map_span]
apply Submodule.span_mono
rintro x ⟨⟨z₁, h₁⟩, ⟨z₂, h₂⟩, rfl⟩
obtain ⟨y₁, rfl⟩ := mem_map_of_surjective h h₁
obtain ⟨y₂, rfl⟩ := mem_map_of_surjective h h₂
exact ⟨⁅(y₁ : L), (y₂ : L)⁆, ⟨y₁, y₂, rfl⟩, by apply f.map_lie⟩
#align lie_ideal.map_bracket_eq LieIdeal.map_bracket_eq
theorem comap_bracket_le {J₁ J₂ : LieIdeal R L'} : ⁅comap f J₁, comap f J₂⁆ ≤ comap f ⁅J₁, J₂⁆ := by
rw [← map_le_iff_le_comap]
exact le_trans (map_bracket_le f) (LieSubmodule.mono_lie _ _ _ _ map_comap_le map_comap_le)
#align lie_ideal.comap_bracket_le LieIdeal.comap_bracket_le
variable {f}
| Mathlib/Algebra/Lie/IdealOperations.lean | 291 | 294 | theorem map_comap_incl {I₁ I₂ : LieIdeal R L} : map I₁.incl (comap I₁.incl I₂) = I₁ ⊓ I₂ := by |
conv_rhs => rw [← I₁.incl_idealRange]
rw [← map_comap_eq]
exact I₁.incl_isIdealMorphism
|
/-
Copyright (c) 2019 Alexander Bentkamp. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp, Yury Kudriashov, Yaël Dillies
-/
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Analysis.Convex.Star
import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace
#align_import analysis.convex.basic from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
/-!
# Convex sets and functions in vector spaces
In a 𝕜-vector space, we define the following objects and properties.
* `Convex 𝕜 s`: A set `s` is convex if for any two points `x y ∈ s` it includes `segment 𝕜 x y`.
* `stdSimplex 𝕜 ι`: The standard simplex in `ι → 𝕜` (currently requires `Fintype ι`). It is the
intersection of the positive quadrant with the hyperplane `s.sum = 1`.
We also provide various equivalent versions of the definitions above, prove that some specific sets
are convex.
## TODO
Generalize all this file to affine spaces.
-/
variable {𝕜 E F β : Type*}
open LinearMap Set
open scoped Convex Pointwise
/-! ### Convexity of sets -/
section OrderedSemiring
variable [OrderedSemiring 𝕜]
section AddCommMonoid
variable [AddCommMonoid E] [AddCommMonoid F]
section SMul
variable (𝕜) [SMul 𝕜 E] [SMul 𝕜 F] (s : Set E) {x : E}
/-- Convexity of sets. -/
def Convex : Prop :=
∀ ⦃x : E⦄, x ∈ s → StarConvex 𝕜 x s
#align convex Convex
variable {𝕜 s}
theorem Convex.starConvex (hs : Convex 𝕜 s) (hx : x ∈ s) : StarConvex 𝕜 x s :=
hs hx
#align convex.star_convex Convex.starConvex
theorem convex_iff_segment_subset : Convex 𝕜 s ↔ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → [x -[𝕜] y] ⊆ s :=
forall₂_congr fun _ _ => starConvex_iff_segment_subset
#align convex_iff_segment_subset convex_iff_segment_subset
theorem Convex.segment_subset (h : Convex 𝕜 s) {x y : E} (hx : x ∈ s) (hy : y ∈ s) :
[x -[𝕜] y] ⊆ s :=
convex_iff_segment_subset.1 h hx hy
#align convex.segment_subset Convex.segment_subset
theorem Convex.openSegment_subset (h : Convex 𝕜 s) {x y : E} (hx : x ∈ s) (hy : y ∈ s) :
openSegment 𝕜 x y ⊆ s :=
(openSegment_subset_segment 𝕜 x y).trans (h.segment_subset hx hy)
#align convex.open_segment_subset Convex.openSegment_subset
/-- Alternative definition of set convexity, in terms of pointwise set operations. -/
theorem convex_iff_pointwise_add_subset :
Convex 𝕜 s ↔ ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → a + b = 1 → a • s + b • s ⊆ s :=
Iff.intro
(by
rintro hA a b ha hb hab w ⟨au, ⟨u, hu, rfl⟩, bv, ⟨v, hv, rfl⟩, rfl⟩
exact hA hu hv ha hb hab)
fun h x hx y hy a b ha hb hab => (h ha hb hab) (Set.add_mem_add ⟨_, hx, rfl⟩ ⟨_, hy, rfl⟩)
#align convex_iff_pointwise_add_subset convex_iff_pointwise_add_subset
alias ⟨Convex.set_combo_subset, _⟩ := convex_iff_pointwise_add_subset
#align convex.set_combo_subset Convex.set_combo_subset
theorem convex_empty : Convex 𝕜 (∅ : Set E) := fun _ => False.elim
#align convex_empty convex_empty
theorem convex_univ : Convex 𝕜 (Set.univ : Set E) := fun _ _ => starConvex_univ _
#align convex_univ convex_univ
theorem Convex.inter {t : Set E} (hs : Convex 𝕜 s) (ht : Convex 𝕜 t) : Convex 𝕜 (s ∩ t) :=
fun _ hx => (hs hx.1).inter (ht hx.2)
#align convex.inter Convex.inter
theorem convex_sInter {S : Set (Set E)} (h : ∀ s ∈ S, Convex 𝕜 s) : Convex 𝕜 (⋂₀ S) := fun _ hx =>
starConvex_sInter fun _ hs => h _ hs <| hx _ hs
#align convex_sInter convex_sInter
theorem convex_iInter {ι : Sort*} {s : ι → Set E} (h : ∀ i, Convex 𝕜 (s i)) :
Convex 𝕜 (⋂ i, s i) :=
sInter_range s ▸ convex_sInter <| forall_mem_range.2 h
#align convex_Inter convex_iInter
theorem convex_iInter₂ {ι : Sort*} {κ : ι → Sort*} {s : ∀ i, κ i → Set E}
(h : ∀ i j, Convex 𝕜 (s i j)) : Convex 𝕜 (⋂ (i) (j), s i j) :=
convex_iInter fun i => convex_iInter <| h i
#align convex_Inter₂ convex_iInter₂
theorem Convex.prod {s : Set E} {t : Set F} (hs : Convex 𝕜 s) (ht : Convex 𝕜 t) :
Convex 𝕜 (s ×ˢ t) := fun _ hx => (hs hx.1).prod (ht hx.2)
#align convex.prod Convex.prod
theorem convex_pi {ι : Type*} {E : ι → Type*} [∀ i, AddCommMonoid (E i)] [∀ i, SMul 𝕜 (E i)]
{s : Set ι} {t : ∀ i, Set (E i)} (ht : ∀ ⦃i⦄, i ∈ s → Convex 𝕜 (t i)) : Convex 𝕜 (s.pi t) :=
fun _ hx => starConvex_pi fun _ hi => ht hi <| hx _ hi
#align convex_pi convex_pi
theorem Directed.convex_iUnion {ι : Sort*} {s : ι → Set E} (hdir : Directed (· ⊆ ·) s)
(hc : ∀ ⦃i : ι⦄, Convex 𝕜 (s i)) : Convex 𝕜 (⋃ i, s i) := by
rintro x hx y hy a b ha hb hab
rw [mem_iUnion] at hx hy ⊢
obtain ⟨i, hx⟩ := hx
obtain ⟨j, hy⟩ := hy
obtain ⟨k, hik, hjk⟩ := hdir i j
exact ⟨k, hc (hik hx) (hjk hy) ha hb hab⟩
#align directed.convex_Union Directed.convex_iUnion
theorem DirectedOn.convex_sUnion {c : Set (Set E)} (hdir : DirectedOn (· ⊆ ·) c)
(hc : ∀ ⦃A : Set E⦄, A ∈ c → Convex 𝕜 A) : Convex 𝕜 (⋃₀ c) := by
rw [sUnion_eq_iUnion]
exact (directedOn_iff_directed.1 hdir).convex_iUnion fun A => hc A.2
#align directed_on.convex_sUnion DirectedOn.convex_sUnion
end SMul
section Module
variable [Module 𝕜 E] [Module 𝕜 F] {s : Set E} {x : E}
theorem convex_iff_openSegment_subset :
Convex 𝕜 s ↔ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → openSegment 𝕜 x y ⊆ s :=
forall₂_congr fun _ => starConvex_iff_openSegment_subset
#align convex_iff_open_segment_subset convex_iff_openSegment_subset
theorem convex_iff_forall_pos :
Convex 𝕜 s ↔
∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1 → a • x + b • y ∈ s :=
forall₂_congr fun _ => starConvex_iff_forall_pos
#align convex_iff_forall_pos convex_iff_forall_pos
theorem convex_iff_pairwise_pos : Convex 𝕜 s ↔
s.Pairwise fun x y => ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1 → a • x + b • y ∈ s := by
refine convex_iff_forall_pos.trans ⟨fun h x hx y hy _ => h hx hy, ?_⟩
intro h x hx y hy a b ha hb hab
obtain rfl | hxy := eq_or_ne x y
· rwa [Convex.combo_self hab]
· exact h hx hy hxy ha hb hab
#align convex_iff_pairwise_pos convex_iff_pairwise_pos
theorem Convex.starConvex_iff (hs : Convex 𝕜 s) (h : s.Nonempty) : StarConvex 𝕜 x s ↔ x ∈ s :=
⟨fun hxs => hxs.mem h, hs.starConvex⟩
#align convex.star_convex_iff Convex.starConvex_iff
protected theorem Set.Subsingleton.convex {s : Set E} (h : s.Subsingleton) : Convex 𝕜 s :=
convex_iff_pairwise_pos.mpr (h.pairwise _)
#align set.subsingleton.convex Set.Subsingleton.convex
theorem convex_singleton (c : E) : Convex 𝕜 ({c} : Set E) :=
subsingleton_singleton.convex
#align convex_singleton convex_singleton
theorem convex_zero : Convex 𝕜 (0 : Set E) :=
convex_singleton _
#align convex_zero convex_zero
theorem convex_segment (x y : E) : Convex 𝕜 [x -[𝕜] y] := by
rintro p ⟨ap, bp, hap, hbp, habp, rfl⟩ q ⟨aq, bq, haq, hbq, habq, rfl⟩ a b ha hb hab
refine
⟨a * ap + b * aq, a * bp + b * bq, add_nonneg (mul_nonneg ha hap) (mul_nonneg hb haq),
add_nonneg (mul_nonneg ha hbp) (mul_nonneg hb hbq), ?_, ?_⟩
· rw [add_add_add_comm, ← mul_add, ← mul_add, habp, habq, mul_one, mul_one, hab]
· simp_rw [add_smul, mul_smul, smul_add]
exact add_add_add_comm _ _ _ _
#align convex_segment convex_segment
theorem Convex.linear_image (hs : Convex 𝕜 s) (f : E →ₗ[𝕜] F) : Convex 𝕜 (f '' s) := by
rintro _ ⟨x, hx, rfl⟩ _ ⟨y, hy, rfl⟩ a b ha hb hab
exact ⟨a • x + b • y, hs hx hy ha hb hab, by rw [f.map_add, f.map_smul, f.map_smul]⟩
#align convex.linear_image Convex.linear_image
theorem Convex.is_linear_image (hs : Convex 𝕜 s) {f : E → F} (hf : IsLinearMap 𝕜 f) :
Convex 𝕜 (f '' s) :=
hs.linear_image <| hf.mk' f
#align convex.is_linear_image Convex.is_linear_image
theorem Convex.linear_preimage {s : Set F} (hs : Convex 𝕜 s) (f : E →ₗ[𝕜] F) :
Convex 𝕜 (f ⁻¹' s) := by
intro x hx y hy a b ha hb hab
rw [mem_preimage, f.map_add, f.map_smul, f.map_smul]
exact hs hx hy ha hb hab
#align convex.linear_preimage Convex.linear_preimage
theorem Convex.is_linear_preimage {s : Set F} (hs : Convex 𝕜 s) {f : E → F} (hf : IsLinearMap 𝕜 f) :
Convex 𝕜 (f ⁻¹' s) :=
hs.linear_preimage <| hf.mk' f
#align convex.is_linear_preimage Convex.is_linear_preimage
theorem Convex.add {t : Set E} (hs : Convex 𝕜 s) (ht : Convex 𝕜 t) : Convex 𝕜 (s + t) := by
rw [← add_image_prod]
exact (hs.prod ht).is_linear_image IsLinearMap.isLinearMap_add
#align convex.add Convex.add
variable (𝕜 E)
/-- The convex sets form an additive submonoid under pointwise addition. -/
def convexAddSubmonoid : AddSubmonoid (Set E) where
carrier := {s : Set E | Convex 𝕜 s}
zero_mem' := convex_zero
add_mem' := Convex.add
#align convex_add_submonoid convexAddSubmonoid
@[simp, norm_cast]
theorem coe_convexAddSubmonoid : ↑(convexAddSubmonoid 𝕜 E) = {s : Set E | Convex 𝕜 s} :=
rfl
#align coe_convex_add_submonoid coe_convexAddSubmonoid
variable {𝕜 E}
@[simp]
theorem mem_convexAddSubmonoid {s : Set E} : s ∈ convexAddSubmonoid 𝕜 E ↔ Convex 𝕜 s :=
Iff.rfl
#align mem_convex_add_submonoid mem_convexAddSubmonoid
theorem convex_list_sum {l : List (Set E)} (h : ∀ i ∈ l, Convex 𝕜 i) : Convex 𝕜 l.sum :=
(convexAddSubmonoid 𝕜 E).list_sum_mem h
#align convex_list_sum convex_list_sum
theorem convex_multiset_sum {s : Multiset (Set E)} (h : ∀ i ∈ s, Convex 𝕜 i) : Convex 𝕜 s.sum :=
(convexAddSubmonoid 𝕜 E).multiset_sum_mem _ h
#align convex_multiset_sum convex_multiset_sum
theorem convex_sum {ι} {s : Finset ι} (t : ι → Set E) (h : ∀ i ∈ s, Convex 𝕜 (t i)) :
Convex 𝕜 (∑ i ∈ s, t i) :=
(convexAddSubmonoid 𝕜 E).sum_mem h
#align convex_sum convex_sum
theorem Convex.vadd (hs : Convex 𝕜 s) (z : E) : Convex 𝕜 (z +ᵥ s) := by
simp_rw [← image_vadd, vadd_eq_add, ← singleton_add]
exact (convex_singleton _).add hs
#align convex.vadd Convex.vadd
theorem Convex.translate (hs : Convex 𝕜 s) (z : E) : Convex 𝕜 ((fun x => z + x) '' s) :=
hs.vadd _
#align convex.translate Convex.translate
/-- The translation of a convex set is also convex. -/
theorem Convex.translate_preimage_right (hs : Convex 𝕜 s) (z : E) :
Convex 𝕜 ((fun x => z + x) ⁻¹' s) := by
intro x hx y hy a b ha hb hab
have h := hs hx hy ha hb hab
rwa [smul_add, smul_add, add_add_add_comm, ← add_smul, hab, one_smul] at h
#align convex.translate_preimage_right Convex.translate_preimage_right
/-- The translation of a convex set is also convex. -/
theorem Convex.translate_preimage_left (hs : Convex 𝕜 s) (z : E) :
Convex 𝕜 ((fun x => x + z) ⁻¹' s) := by
simpa only [add_comm] using hs.translate_preimage_right z
#align convex.translate_preimage_left Convex.translate_preimage_left
section OrderedAddCommMonoid
variable [OrderedAddCommMonoid β] [Module 𝕜 β] [OrderedSMul 𝕜 β]
theorem convex_Iic (r : β) : Convex 𝕜 (Iic r) := fun x hx y hy a b ha hb hab =>
calc
a • x + b • y ≤ a • r + b • r :=
add_le_add (smul_le_smul_of_nonneg_left hx ha) (smul_le_smul_of_nonneg_left hy hb)
_ = r := Convex.combo_self hab _
#align convex_Iic convex_Iic
theorem convex_Ici (r : β) : Convex 𝕜 (Ici r) :=
@convex_Iic 𝕜 βᵒᵈ _ _ _ _ r
#align convex_Ici convex_Ici
theorem convex_Icc (r s : β) : Convex 𝕜 (Icc r s) :=
Ici_inter_Iic.subst ((convex_Ici r).inter <| convex_Iic s)
#align convex_Icc convex_Icc
theorem convex_halfspace_le {f : E → β} (h : IsLinearMap 𝕜 f) (r : β) : Convex 𝕜 { w | f w ≤ r } :=
(convex_Iic r).is_linear_preimage h
#align convex_halfspace_le convex_halfspace_le
theorem convex_halfspace_ge {f : E → β} (h : IsLinearMap 𝕜 f) (r : β) : Convex 𝕜 { w | r ≤ f w } :=
(convex_Ici r).is_linear_preimage h
#align convex_halfspace_ge convex_halfspace_ge
theorem convex_hyperplane {f : E → β} (h : IsLinearMap 𝕜 f) (r : β) : Convex 𝕜 { w | f w = r } := by
simp_rw [le_antisymm_iff]
exact (convex_halfspace_le h r).inter (convex_halfspace_ge h r)
#align convex_hyperplane convex_hyperplane
end OrderedAddCommMonoid
section OrderedCancelAddCommMonoid
variable [OrderedCancelAddCommMonoid β] [Module 𝕜 β] [OrderedSMul 𝕜 β]
theorem convex_Iio (r : β) : Convex 𝕜 (Iio r) := by
intro x hx y hy a b ha hb hab
obtain rfl | ha' := ha.eq_or_lt
· rw [zero_add] at hab
rwa [zero_smul, zero_add, hab, one_smul]
rw [mem_Iio] at hx hy
calc
a • x + b • y < a • r + b • r := add_lt_add_of_lt_of_le
(smul_lt_smul_of_pos_left hx ha') (smul_le_smul_of_nonneg_left hy.le hb)
_ = r := Convex.combo_self hab _
#align convex_Iio convex_Iio
theorem convex_Ioi (r : β) : Convex 𝕜 (Ioi r) :=
@convex_Iio 𝕜 βᵒᵈ _ _ _ _ r
#align convex_Ioi convex_Ioi
theorem convex_Ioo (r s : β) : Convex 𝕜 (Ioo r s) :=
Ioi_inter_Iio.subst ((convex_Ioi r).inter <| convex_Iio s)
#align convex_Ioo convex_Ioo
theorem convex_Ico (r s : β) : Convex 𝕜 (Ico r s) :=
Ici_inter_Iio.subst ((convex_Ici r).inter <| convex_Iio s)
#align convex_Ico convex_Ico
theorem convex_Ioc (r s : β) : Convex 𝕜 (Ioc r s) :=
Ioi_inter_Iic.subst ((convex_Ioi r).inter <| convex_Iic s)
#align convex_Ioc convex_Ioc
theorem convex_halfspace_lt {f : E → β} (h : IsLinearMap 𝕜 f) (r : β) : Convex 𝕜 { w | f w < r } :=
(convex_Iio r).is_linear_preimage h
#align convex_halfspace_lt convex_halfspace_lt
theorem convex_halfspace_gt {f : E → β} (h : IsLinearMap 𝕜 f) (r : β) : Convex 𝕜 { w | r < f w } :=
(convex_Ioi r).is_linear_preimage h
#align convex_halfspace_gt convex_halfspace_gt
end OrderedCancelAddCommMonoid
section LinearOrderedAddCommMonoid
variable [LinearOrderedAddCommMonoid β] [Module 𝕜 β] [OrderedSMul 𝕜 β]
theorem convex_uIcc (r s : β) : Convex 𝕜 (uIcc r s) :=
convex_Icc _ _
#align convex_uIcc convex_uIcc
end LinearOrderedAddCommMonoid
end Module
end AddCommMonoid
section LinearOrderedAddCommMonoid
variable [LinearOrderedAddCommMonoid E] [OrderedAddCommMonoid β] [Module 𝕜 E] [OrderedSMul 𝕜 E]
{s : Set E} {f : E → β}
theorem MonotoneOn.convex_le (hf : MonotoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | f x ≤ r }) := fun x hx y hy _ _ ha hb hab =>
⟨hs hx.1 hy.1 ha hb hab,
(hf (hs hx.1 hy.1 ha hb hab) (max_rec' s hx.1 hy.1) (Convex.combo_le_max x y ha hb hab)).trans
(max_rec' { x | f x ≤ r } hx.2 hy.2)⟩
#align monotone_on.convex_le MonotoneOn.convex_le
theorem MonotoneOn.convex_lt (hf : MonotoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | f x < r }) := fun x hx y hy _ _ ha hb hab =>
⟨hs hx.1 hy.1 ha hb hab,
(hf (hs hx.1 hy.1 ha hb hab) (max_rec' s hx.1 hy.1)
(Convex.combo_le_max x y ha hb hab)).trans_lt
(max_rec' { x | f x < r } hx.2 hy.2)⟩
#align monotone_on.convex_lt MonotoneOn.convex_lt
theorem MonotoneOn.convex_ge (hf : MonotoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | r ≤ f x }) :=
@MonotoneOn.convex_le 𝕜 Eᵒᵈ βᵒᵈ _ _ _ _ _ _ _ hf.dual hs r
#align monotone_on.convex_ge MonotoneOn.convex_ge
theorem MonotoneOn.convex_gt (hf : MonotoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | r < f x }) :=
@MonotoneOn.convex_lt 𝕜 Eᵒᵈ βᵒᵈ _ _ _ _ _ _ _ hf.dual hs r
#align monotone_on.convex_gt MonotoneOn.convex_gt
theorem AntitoneOn.convex_le (hf : AntitoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | f x ≤ r }) :=
@MonotoneOn.convex_ge 𝕜 E βᵒᵈ _ _ _ _ _ _ _ hf hs r
#align antitone_on.convex_le AntitoneOn.convex_le
theorem AntitoneOn.convex_lt (hf : AntitoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | f x < r }) :=
@MonotoneOn.convex_gt 𝕜 E βᵒᵈ _ _ _ _ _ _ _ hf hs r
#align antitone_on.convex_lt AntitoneOn.convex_lt
theorem AntitoneOn.convex_ge (hf : AntitoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | r ≤ f x }) :=
@MonotoneOn.convex_le 𝕜 E βᵒᵈ _ _ _ _ _ _ _ hf hs r
#align antitone_on.convex_ge AntitoneOn.convex_ge
theorem AntitoneOn.convex_gt (hf : AntitoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | r < f x }) :=
@MonotoneOn.convex_lt 𝕜 E βᵒᵈ _ _ _ _ _ _ _ hf hs r
#align antitone_on.convex_gt AntitoneOn.convex_gt
theorem Monotone.convex_le (hf : Monotone f) (r : β) : Convex 𝕜 { x | f x ≤ r } :=
Set.sep_univ.subst ((hf.monotoneOn univ).convex_le convex_univ r)
#align monotone.convex_le Monotone.convex_le
theorem Monotone.convex_lt (hf : Monotone f) (r : β) : Convex 𝕜 { x | f x ≤ r } :=
Set.sep_univ.subst ((hf.monotoneOn univ).convex_le convex_univ r)
#align monotone.convex_lt Monotone.convex_lt
theorem Monotone.convex_ge (hf : Monotone f) (r : β) : Convex 𝕜 { x | r ≤ f x } :=
Set.sep_univ.subst ((hf.monotoneOn univ).convex_ge convex_univ r)
#align monotone.convex_ge Monotone.convex_ge
theorem Monotone.convex_gt (hf : Monotone f) (r : β) : Convex 𝕜 { x | f x ≤ r } :=
Set.sep_univ.subst ((hf.monotoneOn univ).convex_le convex_univ r)
#align monotone.convex_gt Monotone.convex_gt
theorem Antitone.convex_le (hf : Antitone f) (r : β) : Convex 𝕜 { x | f x ≤ r } :=
Set.sep_univ.subst ((hf.antitoneOn univ).convex_le convex_univ r)
#align antitone.convex_le Antitone.convex_le
theorem Antitone.convex_lt (hf : Antitone f) (r : β) : Convex 𝕜 { x | f x < r } :=
Set.sep_univ.subst ((hf.antitoneOn univ).convex_lt convex_univ r)
#align antitone.convex_lt Antitone.convex_lt
theorem Antitone.convex_ge (hf : Antitone f) (r : β) : Convex 𝕜 { x | r ≤ f x } :=
Set.sep_univ.subst ((hf.antitoneOn univ).convex_ge convex_univ r)
#align antitone.convex_ge Antitone.convex_ge
theorem Antitone.convex_gt (hf : Antitone f) (r : β) : Convex 𝕜 { x | r < f x } :=
Set.sep_univ.subst ((hf.antitoneOn univ).convex_gt convex_univ r)
#align antitone.convex_gt Antitone.convex_gt
end LinearOrderedAddCommMonoid
end OrderedSemiring
section OrderedCommSemiring
variable [OrderedCommSemiring 𝕜]
section AddCommMonoid
variable [AddCommMonoid E] [AddCommMonoid F] [Module 𝕜 E] [Module 𝕜 F] {s : Set E}
theorem Convex.smul (hs : Convex 𝕜 s) (c : 𝕜) : Convex 𝕜 (c • s) :=
hs.linear_image (LinearMap.lsmul _ _ c)
#align convex.smul Convex.smul
theorem Convex.smul_preimage (hs : Convex 𝕜 s) (c : 𝕜) : Convex 𝕜 ((fun z => c • z) ⁻¹' s) :=
hs.linear_preimage (LinearMap.lsmul _ _ c)
#align convex.smul_preimage Convex.smul_preimage
theorem Convex.affinity (hs : Convex 𝕜 s) (z : E) (c : 𝕜) :
Convex 𝕜 ((fun x => z + c • x) '' s) := by
simpa only [← image_smul, ← image_vadd, image_image] using (hs.smul c).vadd z
#align convex.affinity Convex.affinity
end AddCommMonoid
end OrderedCommSemiring
section StrictOrderedCommSemiring
variable [StrictOrderedCommSemiring 𝕜] [AddCommGroup E] [Module 𝕜 E]
theorem convex_openSegment (a b : E) : Convex 𝕜 (openSegment 𝕜 a b) := by
rw [convex_iff_openSegment_subset]
rintro p ⟨ap, bp, hap, hbp, habp, rfl⟩ q ⟨aq, bq, haq, hbq, habq, rfl⟩ z ⟨a, b, ha, hb, hab, rfl⟩
refine ⟨a * ap + b * aq, a * bp + b * bq, by positivity, by positivity, ?_, ?_⟩
· rw [add_add_add_comm, ← mul_add, ← mul_add, habp, habq, mul_one, mul_one, hab]
· simp_rw [add_smul, mul_smul, smul_add, add_add_add_comm]
#align convex_open_segment convex_openSegment
end StrictOrderedCommSemiring
section OrderedRing
variable [OrderedRing 𝕜]
section AddCommGroup
variable [AddCommGroup E] [AddCommGroup F] [Module 𝕜 E] [Module 𝕜 F] {s t : Set E}
@[simp]
theorem convex_vadd (a : E) : Convex 𝕜 (a +ᵥ s) ↔ Convex 𝕜 s :=
⟨fun h ↦ by simpa using h.vadd (-a), fun h ↦ h.vadd _⟩
| Mathlib/Analysis/Convex/Basic.lean | 500 | 505 | theorem Convex.add_smul_mem (hs : Convex 𝕜 s) {x y : E} (hx : x ∈ s) (hy : x + y ∈ s) {t : 𝕜}
(ht : t ∈ Icc (0 : 𝕜) 1) : x + t • y ∈ s := by |
have h : x + t • y = (1 - t) • x + t • (x + y) := by
rw [smul_add, ← add_assoc, ← add_smul, sub_add_cancel, one_smul]
rw [h]
exact hs hx hy (sub_nonneg_of_le ht.2) ht.1 (sub_add_cancel _ _)
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Floris van Doorn
-/
import Mathlib.Data.Finsupp.Multiset
import Mathlib.Order.Bounded
import Mathlib.SetTheory.Cardinal.PartENat
import Mathlib.SetTheory.Ordinal.Principal
import Mathlib.Tactic.Linarith
#align_import set_theory.cardinal.ordinal from "leanprover-community/mathlib"@"7c2ce0c2da15516b4e65d0c9e254bb6dc93abd1f"
/-!
# Cardinals and ordinals
Relationships between cardinals and ordinals, properties of cardinals that are proved
using ordinals.
## Main definitions
* The function `Cardinal.aleph'` gives the cardinals listed by their ordinal
index, and is the inverse of `Cardinal.aleph/idx`.
`aleph' n = n`, `aleph' ω = ℵ₀`, `aleph' (ω + 1) = succ ℵ₀`, etc.
It is an order isomorphism between ordinals and cardinals.
* The function `Cardinal.aleph` gives the infinite cardinals listed by their
ordinal index. `aleph 0 = ℵ₀`, `aleph 1 = succ ℵ₀` is the first
uncountable cardinal, and so on. The notation `ω_` combines the latter with `Cardinal.ord`,
giving an enumeration of (infinite) initial ordinals.
Thus `ω_ 0 = ω` and `ω₁ = ω_ 1` is the first uncountable ordinal.
* The function `Cardinal.beth` enumerates the Beth cardinals. `beth 0 = ℵ₀`,
`beth (succ o) = 2 ^ beth o`, and for a limit ordinal `o`, `beth o` is the supremum of `beth a`
for `a < o`.
## Main Statements
* `Cardinal.mul_eq_max` and `Cardinal.add_eq_max` state that the product (resp. sum) of two infinite
cardinals is just their maximum. Several variations around this fact are also given.
* `Cardinal.mk_list_eq_mk` : when `α` is infinite, `α` and `List α` have the same cardinality.
* simp lemmas for inequalities between `bit0 a` and `bit1 b` are registered, making `simp`
able to prove inequalities about numeral cardinals.
## Tags
cardinal arithmetic (for infinite cardinals)
-/
noncomputable section
open Function Set Cardinal Equiv Order Ordinal
open scoped Classical
universe u v w
namespace Cardinal
section UsingOrdinals
theorem ord_isLimit {c} (co : ℵ₀ ≤ c) : (ord c).IsLimit := by
refine ⟨fun h => aleph0_ne_zero ?_, fun a => lt_imp_lt_of_le_imp_le fun h => ?_⟩
· rw [← Ordinal.le_zero, ord_le] at h
simpa only [card_zero, nonpos_iff_eq_zero] using co.trans h
· rw [ord_le] at h ⊢
rwa [← @add_one_of_aleph0_le (card a), ← card_succ]
rw [← ord_le, ← le_succ_of_isLimit, ord_le]
· exact co.trans h
· rw [ord_aleph0]
exact omega_isLimit
#align cardinal.ord_is_limit Cardinal.ord_isLimit
theorem noMaxOrder {c} (h : ℵ₀ ≤ c) : NoMaxOrder c.ord.out.α :=
Ordinal.out_no_max_of_succ_lt (ord_isLimit h).2
/-! ### Aleph cardinals -/
section aleph
/-- The `aleph'` index function, which gives the ordinal index of a cardinal.
(The `aleph'` part is because unlike `aleph` this counts also the
finite stages. So `alephIdx n = n`, `alephIdx ω = ω`,
`alephIdx ℵ₁ = ω + 1` and so on.)
In this definition, we register additionally that this function is an initial segment,
i.e., it is order preserving and its range is an initial segment of the ordinals.
For the basic function version, see `alephIdx`.
For an upgraded version stating that the range is everything, see `AlephIdx.rel_iso`. -/
def alephIdx.initialSeg : @InitialSeg Cardinal Ordinal (· < ·) (· < ·) :=
@RelEmbedding.collapse Cardinal Ordinal (· < ·) (· < ·) _ Cardinal.ord.orderEmbedding.ltEmbedding
#align cardinal.aleph_idx.initial_seg Cardinal.alephIdx.initialSeg
/-- The `aleph'` index function, which gives the ordinal index of a cardinal.
(The `aleph'` part is because unlike `aleph` this counts also the
finite stages. So `alephIdx n = n`, `alephIdx ω = ω`,
`alephIdx ℵ₁ = ω + 1` and so on.)
For an upgraded version stating that the range is everything, see `AlephIdx.rel_iso`. -/
def alephIdx : Cardinal → Ordinal :=
alephIdx.initialSeg
#align cardinal.aleph_idx Cardinal.alephIdx
@[simp]
theorem alephIdx.initialSeg_coe : (alephIdx.initialSeg : Cardinal → Ordinal) = alephIdx :=
rfl
#align cardinal.aleph_idx.initial_seg_coe Cardinal.alephIdx.initialSeg_coe
@[simp]
theorem alephIdx_lt {a b} : alephIdx a < alephIdx b ↔ a < b :=
alephIdx.initialSeg.toRelEmbedding.map_rel_iff
#align cardinal.aleph_idx_lt Cardinal.alephIdx_lt
@[simp]
theorem alephIdx_le {a b} : alephIdx a ≤ alephIdx b ↔ a ≤ b := by
rw [← not_lt, ← not_lt, alephIdx_lt]
#align cardinal.aleph_idx_le Cardinal.alephIdx_le
theorem alephIdx.init {a b} : b < alephIdx a → ∃ c, alephIdx c = b :=
alephIdx.initialSeg.init
#align cardinal.aleph_idx.init Cardinal.alephIdx.init
/-- The `aleph'` index function, which gives the ordinal index of a cardinal.
(The `aleph'` part is because unlike `aleph` this counts also the
finite stages. So `alephIdx n = n`, `alephIdx ℵ₀ = ω`,
`alephIdx ℵ₁ = ω + 1` and so on.)
In this version, we register additionally that this function is an order isomorphism
between cardinals and ordinals.
For the basic function version, see `alephIdx`. -/
def alephIdx.relIso : @RelIso Cardinal.{u} Ordinal.{u} (· < ·) (· < ·) :=
@RelIso.ofSurjective Cardinal.{u} Ordinal.{u} (· < ·) (· < ·) alephIdx.initialSeg.{u} <|
(InitialSeg.eq_or_principal alephIdx.initialSeg.{u}).resolve_right fun ⟨o, e⟩ => by
have : ∀ c, alephIdx c < o := fun c => (e _).2 ⟨_, rfl⟩
refine Ordinal.inductionOn o ?_ this; intro α r _ h
let s := ⨆ a, invFun alephIdx (Ordinal.typein r a)
apply (lt_succ s).not_le
have I : Injective.{u+2, u+2} alephIdx := alephIdx.initialSeg.toEmbedding.injective
simpa only [typein_enum, leftInverse_invFun I (succ s)] using
le_ciSup
(Cardinal.bddAbove_range.{u, u} fun a : α => invFun alephIdx (Ordinal.typein r a))
(Ordinal.enum r _ (h (succ s)))
#align cardinal.aleph_idx.rel_iso Cardinal.alephIdx.relIso
@[simp]
theorem alephIdx.relIso_coe : (alephIdx.relIso : Cardinal → Ordinal) = alephIdx :=
rfl
#align cardinal.aleph_idx.rel_iso_coe Cardinal.alephIdx.relIso_coe
@[simp]
theorem type_cardinal : @type Cardinal (· < ·) _ = Ordinal.univ.{u, u + 1} := by
rw [Ordinal.univ_id]; exact Quotient.sound ⟨alephIdx.relIso⟩
#align cardinal.type_cardinal Cardinal.type_cardinal
@[simp]
theorem mk_cardinal : #Cardinal = univ.{u, u + 1} := by
simpa only [card_type, card_univ] using congr_arg card type_cardinal
#align cardinal.mk_cardinal Cardinal.mk_cardinal
/-- The `aleph'` function gives the cardinals listed by their ordinal
index, and is the inverse of `aleph_idx`.
`aleph' n = n`, `aleph' ω = ω`, `aleph' (ω + 1) = succ ℵ₀`, etc.
In this version, we register additionally that this function is an order isomorphism
between ordinals and cardinals.
For the basic function version, see `aleph'`. -/
def Aleph'.relIso :=
Cardinal.alephIdx.relIso.symm
#align cardinal.aleph'.rel_iso Cardinal.Aleph'.relIso
/-- The `aleph'` function gives the cardinals listed by their ordinal
index, and is the inverse of `aleph_idx`.
`aleph' n = n`, `aleph' ω = ω`, `aleph' (ω + 1) = succ ℵ₀`, etc. -/
def aleph' : Ordinal → Cardinal :=
Aleph'.relIso
#align cardinal.aleph' Cardinal.aleph'
@[simp]
theorem aleph'.relIso_coe : (Aleph'.relIso : Ordinal → Cardinal) = aleph' :=
rfl
#align cardinal.aleph'.rel_iso_coe Cardinal.aleph'.relIso_coe
@[simp]
theorem aleph'_lt {o₁ o₂ : Ordinal} : aleph' o₁ < aleph' o₂ ↔ o₁ < o₂ :=
Aleph'.relIso.map_rel_iff
#align cardinal.aleph'_lt Cardinal.aleph'_lt
@[simp]
theorem aleph'_le {o₁ o₂ : Ordinal} : aleph' o₁ ≤ aleph' o₂ ↔ o₁ ≤ o₂ :=
le_iff_le_iff_lt_iff_lt.2 aleph'_lt
#align cardinal.aleph'_le Cardinal.aleph'_le
@[simp]
theorem aleph'_alephIdx (c : Cardinal) : aleph' c.alephIdx = c :=
Cardinal.alephIdx.relIso.toEquiv.symm_apply_apply c
#align cardinal.aleph'_aleph_idx Cardinal.aleph'_alephIdx
@[simp]
theorem alephIdx_aleph' (o : Ordinal) : (aleph' o).alephIdx = o :=
Cardinal.alephIdx.relIso.toEquiv.apply_symm_apply o
#align cardinal.aleph_idx_aleph' Cardinal.alephIdx_aleph'
@[simp]
theorem aleph'_zero : aleph' 0 = 0 := by
rw [← nonpos_iff_eq_zero, ← aleph'_alephIdx 0, aleph'_le]
apply Ordinal.zero_le
#align cardinal.aleph'_zero Cardinal.aleph'_zero
@[simp]
theorem aleph'_succ {o : Ordinal} : aleph' (succ o) = succ (aleph' o) := by
apply (succ_le_of_lt <| aleph'_lt.2 <| lt_succ o).antisymm' (Cardinal.alephIdx_le.1 <| _)
rw [alephIdx_aleph', succ_le_iff, ← aleph'_lt, aleph'_alephIdx]
apply lt_succ
#align cardinal.aleph'_succ Cardinal.aleph'_succ
@[simp]
theorem aleph'_nat : ∀ n : ℕ, aleph' n = n
| 0 => aleph'_zero
| n + 1 => show aleph' (succ n) = n.succ by rw [aleph'_succ, aleph'_nat n, nat_succ]
#align cardinal.aleph'_nat Cardinal.aleph'_nat
theorem aleph'_le_of_limit {o : Ordinal} (l : o.IsLimit) {c} :
aleph' o ≤ c ↔ ∀ o' < o, aleph' o' ≤ c :=
⟨fun h o' h' => (aleph'_le.2 <| h'.le).trans h, fun h => by
rw [← aleph'_alephIdx c, aleph'_le, limit_le l]
intro x h'
rw [← aleph'_le, aleph'_alephIdx]
exact h _ h'⟩
#align cardinal.aleph'_le_of_limit Cardinal.aleph'_le_of_limit
theorem aleph'_limit {o : Ordinal} (ho : o.IsLimit) : aleph' o = ⨆ a : Iio o, aleph' a := by
refine le_antisymm ?_ (ciSup_le' fun i => aleph'_le.2 (le_of_lt i.2))
rw [aleph'_le_of_limit ho]
exact fun a ha => le_ciSup (bddAbove_of_small _) (⟨a, ha⟩ : Iio o)
#align cardinal.aleph'_limit Cardinal.aleph'_limit
@[simp]
theorem aleph'_omega : aleph' ω = ℵ₀ :=
eq_of_forall_ge_iff fun c => by
simp only [aleph'_le_of_limit omega_isLimit, lt_omega, exists_imp, aleph0_le]
exact forall_swap.trans (forall_congr' fun n => by simp only [forall_eq, aleph'_nat])
#align cardinal.aleph'_omega Cardinal.aleph'_omega
/-- `aleph'` and `aleph_idx` form an equivalence between `Ordinal` and `Cardinal` -/
@[simp]
def aleph'Equiv : Ordinal ≃ Cardinal :=
⟨aleph', alephIdx, alephIdx_aleph', aleph'_alephIdx⟩
#align cardinal.aleph'_equiv Cardinal.aleph'Equiv
/-- The `aleph` function gives the infinite cardinals listed by their
ordinal index. `aleph 0 = ℵ₀`, `aleph 1 = succ ℵ₀` is the first
uncountable cardinal, and so on. -/
def aleph (o : Ordinal) : Cardinal :=
aleph' (ω + o)
#align cardinal.aleph Cardinal.aleph
@[simp]
theorem aleph_lt {o₁ o₂ : Ordinal} : aleph o₁ < aleph o₂ ↔ o₁ < o₂ :=
aleph'_lt.trans (add_lt_add_iff_left _)
#align cardinal.aleph_lt Cardinal.aleph_lt
@[simp]
theorem aleph_le {o₁ o₂ : Ordinal} : aleph o₁ ≤ aleph o₂ ↔ o₁ ≤ o₂ :=
le_iff_le_iff_lt_iff_lt.2 aleph_lt
#align cardinal.aleph_le Cardinal.aleph_le
@[simp]
theorem max_aleph_eq (o₁ o₂ : Ordinal) : max (aleph o₁) (aleph o₂) = aleph (max o₁ o₂) := by
rcases le_total (aleph o₁) (aleph o₂) with h | h
· rw [max_eq_right h, max_eq_right (aleph_le.1 h)]
· rw [max_eq_left h, max_eq_left (aleph_le.1 h)]
#align cardinal.max_aleph_eq Cardinal.max_aleph_eq
@[simp]
theorem aleph_succ {o : Ordinal} : aleph (succ o) = succ (aleph o) := by
rw [aleph, add_succ, aleph'_succ, aleph]
#align cardinal.aleph_succ Cardinal.aleph_succ
@[simp]
theorem aleph_zero : aleph 0 = ℵ₀ := by rw [aleph, add_zero, aleph'_omega]
#align cardinal.aleph_zero Cardinal.aleph_zero
theorem aleph_limit {o : Ordinal} (ho : o.IsLimit) : aleph o = ⨆ a : Iio o, aleph a := by
apply le_antisymm _ (ciSup_le' _)
· rw [aleph, aleph'_limit (ho.add _)]
refine ciSup_mono' (bddAbove_of_small _) ?_
rintro ⟨i, hi⟩
cases' lt_or_le i ω with h h
· rcases lt_omega.1 h with ⟨n, rfl⟩
use ⟨0, ho.pos⟩
simpa using (nat_lt_aleph0 n).le
· exact ⟨⟨_, (sub_lt_of_le h).2 hi⟩, aleph'_le.2 (le_add_sub _ _)⟩
· exact fun i => aleph_le.2 (le_of_lt i.2)
#align cardinal.aleph_limit Cardinal.aleph_limit
theorem aleph0_le_aleph' {o : Ordinal} : ℵ₀ ≤ aleph' o ↔ ω ≤ o := by rw [← aleph'_omega, aleph'_le]
#align cardinal.aleph_0_le_aleph' Cardinal.aleph0_le_aleph'
theorem aleph0_le_aleph (o : Ordinal) : ℵ₀ ≤ aleph o := by
rw [aleph, aleph0_le_aleph']
apply Ordinal.le_add_right
#align cardinal.aleph_0_le_aleph Cardinal.aleph0_le_aleph
theorem aleph'_pos {o : Ordinal} (ho : 0 < o) : 0 < aleph' o := by rwa [← aleph'_zero, aleph'_lt]
#align cardinal.aleph'_pos Cardinal.aleph'_pos
theorem aleph_pos (o : Ordinal) : 0 < aleph o :=
aleph0_pos.trans_le (aleph0_le_aleph o)
#align cardinal.aleph_pos Cardinal.aleph_pos
@[simp]
theorem aleph_toNat (o : Ordinal) : toNat (aleph o) = 0 :=
toNat_apply_of_aleph0_le <| aleph0_le_aleph o
#align cardinal.aleph_to_nat Cardinal.aleph_toNat
@[simp]
theorem aleph_toPartENat (o : Ordinal) : toPartENat (aleph o) = ⊤ :=
toPartENat_apply_of_aleph0_le <| aleph0_le_aleph o
#align cardinal.aleph_to_part_enat Cardinal.aleph_toPartENat
instance nonempty_out_aleph (o : Ordinal) : Nonempty (aleph o).ord.out.α := by
rw [out_nonempty_iff_ne_zero, ← ord_zero]
exact fun h => (ord_injective h).not_gt (aleph_pos o)
#align cardinal.nonempty_out_aleph Cardinal.nonempty_out_aleph
theorem ord_aleph_isLimit (o : Ordinal) : (aleph o).ord.IsLimit :=
ord_isLimit <| aleph0_le_aleph _
#align cardinal.ord_aleph_is_limit Cardinal.ord_aleph_isLimit
instance (o : Ordinal) : NoMaxOrder (aleph o).ord.out.α :=
out_no_max_of_succ_lt (ord_aleph_isLimit o).2
theorem exists_aleph {c : Cardinal} : ℵ₀ ≤ c ↔ ∃ o, c = aleph o :=
⟨fun h =>
⟨alephIdx c - ω, by
rw [aleph, Ordinal.add_sub_cancel_of_le, aleph'_alephIdx]
rwa [← aleph0_le_aleph', aleph'_alephIdx]⟩,
fun ⟨o, e⟩ => e.symm ▸ aleph0_le_aleph _⟩
#align cardinal.exists_aleph Cardinal.exists_aleph
theorem aleph'_isNormal : IsNormal (ord ∘ aleph') :=
⟨fun o => ord_lt_ord.2 <| aleph'_lt.2 <| lt_succ o, fun o l a => by
simp [ord_le, aleph'_le_of_limit l]⟩
#align cardinal.aleph'_is_normal Cardinal.aleph'_isNormal
theorem aleph_isNormal : IsNormal (ord ∘ aleph) :=
aleph'_isNormal.trans <| add_isNormal ω
#align cardinal.aleph_is_normal Cardinal.aleph_isNormal
theorem succ_aleph0 : succ ℵ₀ = aleph 1 := by rw [← aleph_zero, ← aleph_succ, Ordinal.succ_zero]
#align cardinal.succ_aleph_0 Cardinal.succ_aleph0
theorem aleph0_lt_aleph_one : ℵ₀ < aleph 1 := by
rw [← succ_aleph0]
apply lt_succ
#align cardinal.aleph_0_lt_aleph_one Cardinal.aleph0_lt_aleph_one
theorem countable_iff_lt_aleph_one {α : Type*} (s : Set α) : s.Countable ↔ #s < aleph 1 := by
rw [← succ_aleph0, lt_succ_iff, le_aleph0_iff_set_countable]
#align cardinal.countable_iff_lt_aleph_one Cardinal.countable_iff_lt_aleph_one
/-- Ordinals that are cardinals are unbounded. -/
theorem ord_card_unbounded : Unbounded (· < ·) { b : Ordinal | b.card.ord = b } :=
unbounded_lt_iff.2 fun a =>
⟨_,
⟨by
dsimp
rw [card_ord], (lt_ord_succ_card a).le⟩⟩
#align cardinal.ord_card_unbounded Cardinal.ord_card_unbounded
theorem eq_aleph'_of_eq_card_ord {o : Ordinal} (ho : o.card.ord = o) : ∃ a, (aleph' a).ord = o :=
⟨Cardinal.alephIdx.relIso o.card, by simpa using ho⟩
#align cardinal.eq_aleph'_of_eq_card_ord Cardinal.eq_aleph'_of_eq_card_ord
/-- `ord ∘ aleph'` enumerates the ordinals that are cardinals. -/
theorem ord_aleph'_eq_enum_card : ord ∘ aleph' = enumOrd { b : Ordinal | b.card.ord = b } := by
rw [← eq_enumOrd _ ord_card_unbounded, range_eq_iff]
exact
⟨aleph'_isNormal.strictMono,
⟨fun a => by
dsimp
rw [card_ord], fun b hb => eq_aleph'_of_eq_card_ord hb⟩⟩
#align cardinal.ord_aleph'_eq_enum_card Cardinal.ord_aleph'_eq_enum_card
/-- Infinite ordinals that are cardinals are unbounded. -/
theorem ord_card_unbounded' : Unbounded (· < ·) { b : Ordinal | b.card.ord = b ∧ ω ≤ b } :=
(unbounded_lt_inter_le ω).2 ord_card_unbounded
#align cardinal.ord_card_unbounded' Cardinal.ord_card_unbounded'
theorem eq_aleph_of_eq_card_ord {o : Ordinal} (ho : o.card.ord = o) (ho' : ω ≤ o) :
∃ a, (aleph a).ord = o := by
cases' eq_aleph'_of_eq_card_ord ho with a ha
use a - ω
unfold aleph
rwa [Ordinal.add_sub_cancel_of_le]
rwa [← aleph0_le_aleph', ← ord_le_ord, ha, ord_aleph0]
#align cardinal.eq_aleph_of_eq_card_ord Cardinal.eq_aleph_of_eq_card_ord
/-- `ord ∘ aleph` enumerates the infinite ordinals that are cardinals. -/
theorem ord_aleph_eq_enum_card :
ord ∘ aleph = enumOrd { b : Ordinal | b.card.ord = b ∧ ω ≤ b } := by
rw [← eq_enumOrd _ ord_card_unbounded']
use aleph_isNormal.strictMono
rw [range_eq_iff]
refine ⟨fun a => ⟨?_, ?_⟩, fun b hb => eq_aleph_of_eq_card_ord hb.1 hb.2⟩
· rw [Function.comp_apply, card_ord]
· rw [← ord_aleph0, Function.comp_apply, ord_le_ord]
exact aleph0_le_aleph _
#align cardinal.ord_aleph_eq_enum_card Cardinal.ord_aleph_eq_enum_card
end aleph
/-! ### Beth cardinals -/
section beth
/-- Beth numbers are defined so that `beth 0 = ℵ₀`, `beth (succ o) = 2 ^ (beth o)`, and when `o` is
a limit ordinal, `beth o` is the supremum of `beth o'` for `o' < o`.
Assuming the generalized continuum hypothesis, which is undecidable in ZFC, `beth o = aleph o` for
every `o`. -/
def beth (o : Ordinal.{u}) : Cardinal.{u} :=
limitRecOn o aleph0 (fun _ x => (2 : Cardinal) ^ x) fun a _ IH => ⨆ b : Iio a, IH b.1 b.2
#align cardinal.beth Cardinal.beth
@[simp]
theorem beth_zero : beth 0 = aleph0 :=
limitRecOn_zero _ _ _
#align cardinal.beth_zero Cardinal.beth_zero
@[simp]
theorem beth_succ (o : Ordinal) : beth (succ o) = 2 ^ beth o :=
limitRecOn_succ _ _ _ _
#align cardinal.beth_succ Cardinal.beth_succ
theorem beth_limit {o : Ordinal} : o.IsLimit → beth o = ⨆ a : Iio o, beth a :=
limitRecOn_limit _ _ _ _
#align cardinal.beth_limit Cardinal.beth_limit
theorem beth_strictMono : StrictMono beth := by
intro a b
induction' b using Ordinal.induction with b IH generalizing a
intro h
rcases zero_or_succ_or_limit b with (rfl | ⟨c, rfl⟩ | hb)
· exact (Ordinal.not_lt_zero a h).elim
· rw [lt_succ_iff] at h
rw [beth_succ]
apply lt_of_le_of_lt _ (cantor _)
rcases eq_or_lt_of_le h with (rfl | h)
· rfl
exact (IH c (lt_succ c) h).le
· apply (cantor _).trans_le
rw [beth_limit hb, ← beth_succ]
exact le_ciSup (bddAbove_of_small _) (⟨_, hb.succ_lt h⟩ : Iio b)
#align cardinal.beth_strict_mono Cardinal.beth_strictMono
theorem beth_mono : Monotone beth :=
beth_strictMono.monotone
#align cardinal.beth_mono Cardinal.beth_mono
@[simp]
theorem beth_lt {o₁ o₂ : Ordinal} : beth o₁ < beth o₂ ↔ o₁ < o₂ :=
beth_strictMono.lt_iff_lt
#align cardinal.beth_lt Cardinal.beth_lt
@[simp]
theorem beth_le {o₁ o₂ : Ordinal} : beth o₁ ≤ beth o₂ ↔ o₁ ≤ o₂ :=
beth_strictMono.le_iff_le
#align cardinal.beth_le Cardinal.beth_le
theorem aleph_le_beth (o : Ordinal) : aleph o ≤ beth o := by
induction o using limitRecOn with
| H₁ => simp
| H₂ o h =>
rw [aleph_succ, beth_succ, succ_le_iff]
exact (cantor _).trans_le (power_le_power_left two_ne_zero h)
| H₃ o ho IH =>
rw [aleph_limit ho, beth_limit ho]
exact ciSup_mono (bddAbove_of_small _) fun x => IH x.1 x.2
#align cardinal.aleph_le_beth Cardinal.aleph_le_beth
theorem aleph0_le_beth (o : Ordinal) : ℵ₀ ≤ beth o :=
(aleph0_le_aleph o).trans <| aleph_le_beth o
#align cardinal.aleph_0_le_beth Cardinal.aleph0_le_beth
theorem beth_pos (o : Ordinal) : 0 < beth o :=
aleph0_pos.trans_le <| aleph0_le_beth o
#align cardinal.beth_pos Cardinal.beth_pos
theorem beth_ne_zero (o : Ordinal) : beth o ≠ 0 :=
(beth_pos o).ne'
#align cardinal.beth_ne_zero Cardinal.beth_ne_zero
theorem beth_normal : IsNormal.{u} fun o => (beth o).ord :=
(isNormal_iff_strictMono_limit _).2
⟨ord_strictMono.comp beth_strictMono, fun o ho a ha => by
rw [beth_limit ho, ord_le]
exact ciSup_le' fun b => ord_le.1 (ha _ b.2)⟩
#align cardinal.beth_normal Cardinal.beth_normal
end beth
/-! ### Properties of `mul` -/
section mulOrdinals
/-- If `α` is an infinite type, then `α × α` and `α` have the same cardinality. -/
theorem mul_eq_self {c : Cardinal} (h : ℵ₀ ≤ c) : c * c = c := by
refine le_antisymm ?_ (by simpa only [mul_one] using mul_le_mul_left' (one_le_aleph0.trans h) c)
-- the only nontrivial part is `c * c ≤ c`. We prove it inductively.
refine Acc.recOn (Cardinal.lt_wf.apply c) (fun c _ => Quotient.inductionOn c fun α IH ol => ?_) h
-- consider the minimal well-order `r` on `α` (a type with cardinality `c`).
rcases ord_eq α with ⟨r, wo, e⟩
letI := linearOrderOfSTO r
haveI : IsWellOrder α (· < ·) := wo
-- Define an order `s` on `α × α` by writing `(a, b) < (c, d)` if `max a b < max c d`, or
-- the max are equal and `a < c`, or the max are equal and `a = c` and `b < d`.
let g : α × α → α := fun p => max p.1 p.2
let f : α × α ↪ Ordinal × α × α :=
⟨fun p : α × α => (typein (· < ·) (g p), p), fun p q => congr_arg Prod.snd⟩
let s := f ⁻¹'o Prod.Lex (· < ·) (Prod.Lex (· < ·) (· < ·))
-- this is a well order on `α × α`.
haveI : IsWellOrder _ s := (RelEmbedding.preimage _ _).isWellOrder
/- it suffices to show that this well order is smaller than `r`
if it were larger, then `r` would be a strict prefix of `s`. It would be contained in
`β × β` for some `β` of cardinality `< c`. By the inductive assumption, this set has the
same cardinality as `β` (or it is finite if `β` is finite), so it is `< c`, which is a
contradiction. -/
suffices type s ≤ type r by exact card_le_card this
refine le_of_forall_lt fun o h => ?_
rcases typein_surj s h with ⟨p, rfl⟩
rw [← e, lt_ord]
refine lt_of_le_of_lt
(?_ : _ ≤ card (succ (typein (· < ·) (g p))) * card (succ (typein (· < ·) (g p)))) ?_
· have : { q | s q p } ⊆ insert (g p) { x | x < g p } ×ˢ insert (g p) { x | x < g p } := by
intro q h
simp only [s, f, Preimage, ge_iff_le, Embedding.coeFn_mk, Prod.lex_def, typein_lt_typein,
typein_inj, mem_setOf_eq] at h
exact max_le_iff.1 (le_iff_lt_or_eq.2 <| h.imp_right And.left)
suffices H : (insert (g p) { x | r x (g p) } : Set α) ≃ Sum { x | r x (g p) } PUnit from
⟨(Set.embeddingOfSubset _ _ this).trans
((Equiv.Set.prod _ _).trans (H.prodCongr H)).toEmbedding⟩
refine (Equiv.Set.insert ?_).trans ((Equiv.refl _).sumCongr punitEquivPUnit)
apply @irrefl _ r
cases' lt_or_le (card (succ (typein (· < ·) (g p)))) ℵ₀ with qo qo
· exact (mul_lt_aleph0 qo qo).trans_le ol
· suffices (succ (typein LT.lt (g p))).card < ⟦α⟧ from (IH _ this qo).trans_lt this
rw [← lt_ord]
apply (ord_isLimit ol).2
rw [mk'_def, e]
apply typein_lt_type
#align cardinal.mul_eq_self Cardinal.mul_eq_self
end mulOrdinals
end UsingOrdinals
/-! Properties of `mul`, not requiring ordinals -/
section mul
/-- If `α` and `β` are infinite types, then the cardinality of `α × β` is the maximum
of the cardinalities of `α` and `β`. -/
theorem mul_eq_max {a b : Cardinal} (ha : ℵ₀ ≤ a) (hb : ℵ₀ ≤ b) : a * b = max a b :=
le_antisymm
(mul_eq_self (ha.trans (le_max_left a b)) ▸
mul_le_mul' (le_max_left _ _) (le_max_right _ _)) <|
max_le (by simpa only [mul_one] using mul_le_mul_left' (one_le_aleph0.trans hb) a)
(by simpa only [one_mul] using mul_le_mul_right' (one_le_aleph0.trans ha) b)
#align cardinal.mul_eq_max Cardinal.mul_eq_max
@[simp]
theorem mul_mk_eq_max {α β : Type u} [Infinite α] [Infinite β] : #α * #β = max #α #β :=
mul_eq_max (aleph0_le_mk α) (aleph0_le_mk β)
#align cardinal.mul_mk_eq_max Cardinal.mul_mk_eq_max
@[simp]
theorem aleph_mul_aleph (o₁ o₂ : Ordinal) : aleph o₁ * aleph o₂ = aleph (max o₁ o₂) := by
rw [Cardinal.mul_eq_max (aleph0_le_aleph o₁) (aleph0_le_aleph o₂), max_aleph_eq]
#align cardinal.aleph_mul_aleph Cardinal.aleph_mul_aleph
@[simp]
theorem aleph0_mul_eq {a : Cardinal} (ha : ℵ₀ ≤ a) : ℵ₀ * a = a :=
(mul_eq_max le_rfl ha).trans (max_eq_right ha)
#align cardinal.aleph_0_mul_eq Cardinal.aleph0_mul_eq
@[simp]
theorem mul_aleph0_eq {a : Cardinal} (ha : ℵ₀ ≤ a) : a * ℵ₀ = a :=
(mul_eq_max ha le_rfl).trans (max_eq_left ha)
#align cardinal.mul_aleph_0_eq Cardinal.mul_aleph0_eq
-- Porting note (#10618): removed `simp`, `simp` can prove it
theorem aleph0_mul_mk_eq {α : Type*} [Infinite α] : ℵ₀ * #α = #α :=
aleph0_mul_eq (aleph0_le_mk α)
#align cardinal.aleph_0_mul_mk_eq Cardinal.aleph0_mul_mk_eq
-- Porting note (#10618): removed `simp`, `simp` can prove it
theorem mk_mul_aleph0_eq {α : Type*} [Infinite α] : #α * ℵ₀ = #α :=
mul_aleph0_eq (aleph0_le_mk α)
#align cardinal.mk_mul_aleph_0_eq Cardinal.mk_mul_aleph0_eq
@[simp]
theorem aleph0_mul_aleph (o : Ordinal) : ℵ₀ * aleph o = aleph o :=
aleph0_mul_eq (aleph0_le_aleph o)
#align cardinal.aleph_0_mul_aleph Cardinal.aleph0_mul_aleph
@[simp]
theorem aleph_mul_aleph0 (o : Ordinal) : aleph o * ℵ₀ = aleph o :=
mul_aleph0_eq (aleph0_le_aleph o)
#align cardinal.aleph_mul_aleph_0 Cardinal.aleph_mul_aleph0
theorem mul_lt_of_lt {a b c : Cardinal} (hc : ℵ₀ ≤ c) (h1 : a < c) (h2 : b < c) : a * b < c :=
(mul_le_mul' (le_max_left a b) (le_max_right a b)).trans_lt <|
(lt_or_le (max a b) ℵ₀).elim (fun h => (mul_lt_aleph0 h h).trans_le hc) fun h => by
rw [mul_eq_self h]
exact max_lt h1 h2
#align cardinal.mul_lt_of_lt Cardinal.mul_lt_of_lt
theorem mul_le_max_of_aleph0_le_left {a b : Cardinal} (h : ℵ₀ ≤ a) : a * b ≤ max a b := by
convert mul_le_mul' (le_max_left a b) (le_max_right a b) using 1
rw [mul_eq_self]
exact h.trans (le_max_left a b)
#align cardinal.mul_le_max_of_aleph_0_le_left Cardinal.mul_le_max_of_aleph0_le_left
theorem mul_eq_max_of_aleph0_le_left {a b : Cardinal} (h : ℵ₀ ≤ a) (h' : b ≠ 0) :
a * b = max a b := by
rcases le_or_lt ℵ₀ b with hb | hb
· exact mul_eq_max h hb
refine (mul_le_max_of_aleph0_le_left h).antisymm ?_
have : b ≤ a := hb.le.trans h
rw [max_eq_left this]
convert mul_le_mul_left' (one_le_iff_ne_zero.mpr h') a
rw [mul_one]
#align cardinal.mul_eq_max_of_aleph_0_le_left Cardinal.mul_eq_max_of_aleph0_le_left
theorem mul_le_max_of_aleph0_le_right {a b : Cardinal} (h : ℵ₀ ≤ b) : a * b ≤ max a b := by
simpa only [mul_comm b, max_comm b] using mul_le_max_of_aleph0_le_left h
#align cardinal.mul_le_max_of_aleph_0_le_right Cardinal.mul_le_max_of_aleph0_le_right
theorem mul_eq_max_of_aleph0_le_right {a b : Cardinal} (h' : a ≠ 0) (h : ℵ₀ ≤ b) :
a * b = max a b := by
rw [mul_comm, max_comm]
exact mul_eq_max_of_aleph0_le_left h h'
#align cardinal.mul_eq_max_of_aleph_0_le_right Cardinal.mul_eq_max_of_aleph0_le_right
theorem mul_eq_max' {a b : Cardinal} (h : ℵ₀ ≤ a * b) : a * b = max a b := by
rcases aleph0_le_mul_iff.mp h with ⟨ha, hb, ha' | hb'⟩
· exact mul_eq_max_of_aleph0_le_left ha' hb
· exact mul_eq_max_of_aleph0_le_right ha hb'
#align cardinal.mul_eq_max' Cardinal.mul_eq_max'
theorem mul_le_max (a b : Cardinal) : a * b ≤ max (max a b) ℵ₀ := by
rcases eq_or_ne a 0 with (rfl | ha0); · simp
rcases eq_or_ne b 0 with (rfl | hb0); · simp
rcases le_or_lt ℵ₀ a with ha | ha
· rw [mul_eq_max_of_aleph0_le_left ha hb0]
exact le_max_left _ _
· rcases le_or_lt ℵ₀ b with hb | hb
· rw [mul_comm, mul_eq_max_of_aleph0_le_left hb ha0, max_comm]
exact le_max_left _ _
· exact le_max_of_le_right (mul_lt_aleph0 ha hb).le
#align cardinal.mul_le_max Cardinal.mul_le_max
theorem mul_eq_left {a b : Cardinal} (ha : ℵ₀ ≤ a) (hb : b ≤ a) (hb' : b ≠ 0) : a * b = a := by
rw [mul_eq_max_of_aleph0_le_left ha hb', max_eq_left hb]
#align cardinal.mul_eq_left Cardinal.mul_eq_left
theorem mul_eq_right {a b : Cardinal} (hb : ℵ₀ ≤ b) (ha : a ≤ b) (ha' : a ≠ 0) : a * b = b := by
rw [mul_comm, mul_eq_left hb ha ha']
#align cardinal.mul_eq_right Cardinal.mul_eq_right
theorem le_mul_left {a b : Cardinal} (h : b ≠ 0) : a ≤ b * a := by
convert mul_le_mul_right' (one_le_iff_ne_zero.mpr h) a
rw [one_mul]
#align cardinal.le_mul_left Cardinal.le_mul_left
theorem le_mul_right {a b : Cardinal} (h : b ≠ 0) : a ≤ a * b := by
rw [mul_comm]
exact le_mul_left h
#align cardinal.le_mul_right Cardinal.le_mul_right
theorem mul_eq_left_iff {a b : Cardinal} : a * b = a ↔ max ℵ₀ b ≤ a ∧ b ≠ 0 ∨ b = 1 ∨ a = 0 := by
rw [max_le_iff]
refine ⟨fun h => ?_, ?_⟩
· rcases le_or_lt ℵ₀ a with ha | ha
· have : a ≠ 0 := by
rintro rfl
exact ha.not_lt aleph0_pos
left
rw [and_assoc]
use ha
constructor
· rw [← not_lt]
exact fun hb => ne_of_gt (hb.trans_le (le_mul_left this)) h
· rintro rfl
apply this
rw [mul_zero] at h
exact h.symm
right
by_cases h2a : a = 0
· exact Or.inr h2a
have hb : b ≠ 0 := by
rintro rfl
apply h2a
rw [mul_zero] at h
exact h.symm
left
rw [← h, mul_lt_aleph0_iff, lt_aleph0, lt_aleph0] at ha
rcases ha with (rfl | rfl | ⟨⟨n, rfl⟩, ⟨m, rfl⟩⟩)
· contradiction
· contradiction
rw [← Ne] at h2a
rw [← one_le_iff_ne_zero] at h2a hb
norm_cast at h2a hb h ⊢
apply le_antisymm _ hb
rw [← not_lt]
apply fun h2b => ne_of_gt _ h
conv_rhs => left; rw [← mul_one n]
rw [mul_lt_mul_left]
· exact id
apply Nat.lt_of_succ_le h2a
· rintro (⟨⟨ha, hab⟩, hb⟩ | rfl | rfl)
· rw [mul_eq_max_of_aleph0_le_left ha hb, max_eq_left hab]
all_goals simp
#align cardinal.mul_eq_left_iff Cardinal.mul_eq_left_iff
end mul
/-! ### Properties of `add` -/
section add
/-- If `α` is an infinite type, then `α ⊕ α` and `α` have the same cardinality. -/
theorem add_eq_self {c : Cardinal} (h : ℵ₀ ≤ c) : c + c = c :=
le_antisymm
(by
convert mul_le_mul_right' ((nat_lt_aleph0 2).le.trans h) c using 1
<;> simp [two_mul, mul_eq_self h])
(self_le_add_left c c)
#align cardinal.add_eq_self Cardinal.add_eq_self
/-- If `α` is an infinite type, then the cardinality of `α ⊕ β` is the maximum
of the cardinalities of `α` and `β`. -/
theorem add_eq_max {a b : Cardinal} (ha : ℵ₀ ≤ a) : a + b = max a b :=
le_antisymm
(add_eq_self (ha.trans (le_max_left a b)) ▸
add_le_add (le_max_left _ _) (le_max_right _ _)) <|
max_le (self_le_add_right _ _) (self_le_add_left _ _)
#align cardinal.add_eq_max Cardinal.add_eq_max
theorem add_eq_max' {a b : Cardinal} (ha : ℵ₀ ≤ b) : a + b = max a b := by
rw [add_comm, max_comm, add_eq_max ha]
#align cardinal.add_eq_max' Cardinal.add_eq_max'
@[simp]
theorem add_mk_eq_max {α β : Type u} [Infinite α] : #α + #β = max #α #β :=
add_eq_max (aleph0_le_mk α)
#align cardinal.add_mk_eq_max Cardinal.add_mk_eq_max
@[simp]
theorem add_mk_eq_max' {α β : Type u} [Infinite β] : #α + #β = max #α #β :=
add_eq_max' (aleph0_le_mk β)
#align cardinal.add_mk_eq_max' Cardinal.add_mk_eq_max'
theorem add_le_max (a b : Cardinal) : a + b ≤ max (max a b) ℵ₀ := by
rcases le_or_lt ℵ₀ a with ha | ha
· rw [add_eq_max ha]
exact le_max_left _ _
· rcases le_or_lt ℵ₀ b with hb | hb
· rw [add_comm, add_eq_max hb, max_comm]
exact le_max_left _ _
· exact le_max_of_le_right (add_lt_aleph0 ha hb).le
#align cardinal.add_le_max Cardinal.add_le_max
theorem add_le_of_le {a b c : Cardinal} (hc : ℵ₀ ≤ c) (h1 : a ≤ c) (h2 : b ≤ c) : a + b ≤ c :=
(add_le_add h1 h2).trans <| le_of_eq <| add_eq_self hc
#align cardinal.add_le_of_le Cardinal.add_le_of_le
theorem add_lt_of_lt {a b c : Cardinal} (hc : ℵ₀ ≤ c) (h1 : a < c) (h2 : b < c) : a + b < c :=
(add_le_add (le_max_left a b) (le_max_right a b)).trans_lt <|
(lt_or_le (max a b) ℵ₀).elim (fun h => (add_lt_aleph0 h h).trans_le hc) fun h => by
rw [add_eq_self h]; exact max_lt h1 h2
#align cardinal.add_lt_of_lt Cardinal.add_lt_of_lt
theorem eq_of_add_eq_of_aleph0_le {a b c : Cardinal} (h : a + b = c) (ha : a < c) (hc : ℵ₀ ≤ c) :
b = c := by
apply le_antisymm
· rw [← h]
apply self_le_add_left
rw [← not_lt]; intro hb
have : a + b < c := add_lt_of_lt hc ha hb
simp [h, lt_irrefl] at this
#align cardinal.eq_of_add_eq_of_aleph_0_le Cardinal.eq_of_add_eq_of_aleph0_le
theorem add_eq_left {a b : Cardinal} (ha : ℵ₀ ≤ a) (hb : b ≤ a) : a + b = a := by
rw [add_eq_max ha, max_eq_left hb]
#align cardinal.add_eq_left Cardinal.add_eq_left
theorem add_eq_right {a b : Cardinal} (hb : ℵ₀ ≤ b) (ha : a ≤ b) : a + b = b := by
rw [add_comm, add_eq_left hb ha]
#align cardinal.add_eq_right Cardinal.add_eq_right
theorem add_eq_left_iff {a b : Cardinal} : a + b = a ↔ max ℵ₀ b ≤ a ∨ b = 0 := by
rw [max_le_iff]
refine ⟨fun h => ?_, ?_⟩
· rcases le_or_lt ℵ₀ a with ha | ha
· left
use ha
rw [← not_lt]
apply fun hb => ne_of_gt _ h
intro hb
exact hb.trans_le (self_le_add_left b a)
right
rw [← h, add_lt_aleph0_iff, lt_aleph0, lt_aleph0] at ha
rcases ha with ⟨⟨n, rfl⟩, ⟨m, rfl⟩⟩
norm_cast at h ⊢
rw [← add_right_inj, h, add_zero]
· rintro (⟨h1, h2⟩ | h3)
· rw [add_eq_max h1, max_eq_left h2]
· rw [h3, add_zero]
#align cardinal.add_eq_left_iff Cardinal.add_eq_left_iff
theorem add_eq_right_iff {a b : Cardinal} : a + b = b ↔ max ℵ₀ a ≤ b ∨ a = 0 := by
rw [add_comm, add_eq_left_iff]
#align cardinal.add_eq_right_iff Cardinal.add_eq_right_iff
theorem add_nat_eq {a : Cardinal} (n : ℕ) (ha : ℵ₀ ≤ a) : a + n = a :=
add_eq_left ha ((nat_lt_aleph0 _).le.trans ha)
#align cardinal.add_nat_eq Cardinal.add_nat_eq
theorem nat_add_eq {a : Cardinal} (n : ℕ) (ha : ℵ₀ ≤ a) : n + a = a := by
rw [add_comm, add_nat_eq n ha]
theorem add_one_eq {a : Cardinal} (ha : ℵ₀ ≤ a) : a + 1 = a :=
add_one_of_aleph0_le ha
#align cardinal.add_one_eq Cardinal.add_one_eq
-- Porting note (#10618): removed `simp`, `simp` can prove it
theorem mk_add_one_eq {α : Type*} [Infinite α] : #α + 1 = #α :=
add_one_eq (aleph0_le_mk α)
#align cardinal.mk_add_one_eq Cardinal.mk_add_one_eq
protected theorem eq_of_add_eq_add_left {a b c : Cardinal} (h : a + b = a + c) (ha : a < ℵ₀) :
b = c := by
rcases le_or_lt ℵ₀ b with hb | hb
· have : a < b := ha.trans_le hb
rw [add_eq_right hb this.le, eq_comm] at h
rw [eq_of_add_eq_of_aleph0_le h this hb]
· have hc : c < ℵ₀ := by
rw [← not_le]
intro hc
apply lt_irrefl ℵ₀
apply (hc.trans (self_le_add_left _ a)).trans_lt
rw [← h]
apply add_lt_aleph0 ha hb
rw [lt_aleph0] at *
rcases ha with ⟨n, rfl⟩
rcases hb with ⟨m, rfl⟩
rcases hc with ⟨k, rfl⟩
norm_cast at h ⊢
apply add_left_cancel h
#align cardinal.eq_of_add_eq_add_left Cardinal.eq_of_add_eq_add_left
protected theorem eq_of_add_eq_add_right {a b c : Cardinal} (h : a + b = c + b) (hb : b < ℵ₀) :
a = c := by
rw [add_comm a b, add_comm c b] at h
exact Cardinal.eq_of_add_eq_add_left h hb
#align cardinal.eq_of_add_eq_add_right Cardinal.eq_of_add_eq_add_right
end add
section ciSup
variable {ι : Type u} {ι' : Type w} (f : ι → Cardinal.{v})
section add
variable [Nonempty ι] [Nonempty ι'] (hf : BddAbove (range f))
protected theorem ciSup_add (c : Cardinal.{v}) : (⨆ i, f i) + c = ⨆ i, f i + c := by
have : ∀ i, f i + c ≤ (⨆ i, f i) + c := fun i ↦ add_le_add_right (le_ciSup hf i) c
refine le_antisymm ?_ (ciSup_le' this)
have bdd : BddAbove (range (f · + c)) := ⟨_, forall_mem_range.mpr this⟩
obtain hs | hs := lt_or_le (⨆ i, f i) ℵ₀
· obtain ⟨i, hi⟩ := exists_eq_of_iSup_eq_of_not_isLimit
f hf _ (fun h ↦ hs.not_le h.aleph0_le) rfl
exact hi ▸ le_ciSup bdd i
rw [add_eq_max hs, max_le_iff]
exact ⟨ciSup_mono bdd fun i ↦ self_le_add_right _ c,
(self_le_add_left _ _).trans (le_ciSup bdd <| Classical.arbitrary ι)⟩
protected theorem add_ciSup (c : Cardinal.{v}) : c + (⨆ i, f i) = ⨆ i, c + f i := by
rw [add_comm, Cardinal.ciSup_add f hf]; simp_rw [add_comm]
protected theorem ciSup_add_ciSup (g : ι' → Cardinal.{v}) (hg : BddAbove (range g)) :
(⨆ i, f i) + (⨆ j, g j) = ⨆ (i) (j), f i + g j := by
simp_rw [Cardinal.ciSup_add f hf, Cardinal.add_ciSup g hg]
end add
protected theorem ciSup_mul (c : Cardinal.{v}) : (⨆ i, f i) * c = ⨆ i, f i * c := by
cases isEmpty_or_nonempty ι; · simp
obtain rfl | h0 := eq_or_ne c 0; · simp
by_cases hf : BddAbove (range f); swap
· have hfc : ¬ BddAbove (range (f · * c)) := fun bdd ↦ hf
⟨⨆ i, f i * c, forall_mem_range.mpr fun i ↦ (le_mul_right h0).trans (le_ciSup bdd i)⟩
simp [iSup, csSup_of_not_bddAbove, hf, hfc]
have : ∀ i, f i * c ≤ (⨆ i, f i) * c := fun i ↦ mul_le_mul_right' (le_ciSup hf i) c
refine le_antisymm ?_ (ciSup_le' this)
have bdd : BddAbove (range (f · * c)) := ⟨_, forall_mem_range.mpr this⟩
obtain hs | hs := lt_or_le (⨆ i, f i) ℵ₀
· obtain ⟨i, hi⟩ := exists_eq_of_iSup_eq_of_not_isLimit
f hf _ (fun h ↦ hs.not_le h.aleph0_le) rfl
exact hi ▸ le_ciSup bdd i
rw [mul_eq_max_of_aleph0_le_left hs h0, max_le_iff]
obtain ⟨i, hi⟩ := exists_lt_of_lt_ciSup' (one_lt_aleph0.trans_le hs)
exact ⟨ciSup_mono bdd fun i ↦ le_mul_right h0,
(le_mul_left (zero_lt_one.trans hi).ne').trans (le_ciSup bdd i)⟩
protected theorem mul_ciSup (c : Cardinal.{v}) : c * (⨆ i, f i) = ⨆ i, c * f i := by
rw [mul_comm, Cardinal.ciSup_mul f]; simp_rw [mul_comm]
protected theorem ciSup_mul_ciSup (g : ι' → Cardinal.{v}) :
(⨆ i, f i) * (⨆ j, g j) = ⨆ (i) (j), f i * g j := by
simp_rw [Cardinal.ciSup_mul f, Cardinal.mul_ciSup g]
end ciSup
@[simp]
theorem aleph_add_aleph (o₁ o₂ : Ordinal) : aleph o₁ + aleph o₂ = aleph (max o₁ o₂) := by
rw [Cardinal.add_eq_max (aleph0_le_aleph o₁), max_aleph_eq]
#align cardinal.aleph_add_aleph Cardinal.aleph_add_aleph
theorem principal_add_ord {c : Cardinal} (hc : ℵ₀ ≤ c) : Ordinal.Principal (· + ·) c.ord :=
fun a b ha hb => by
rw [lt_ord, Ordinal.card_add] at *
exact add_lt_of_lt hc ha hb
#align cardinal.principal_add_ord Cardinal.principal_add_ord
theorem principal_add_aleph (o : Ordinal) : Ordinal.Principal (· + ·) (aleph o).ord :=
principal_add_ord <| aleph0_le_aleph o
#align cardinal.principal_add_aleph Cardinal.principal_add_aleph
theorem add_right_inj_of_lt_aleph0 {α β γ : Cardinal} (γ₀ : γ < aleph0) : α + γ = β + γ ↔ α = β :=
⟨fun h => Cardinal.eq_of_add_eq_add_right h γ₀, fun h => congr_arg (· + γ) h⟩
#align cardinal.add_right_inj_of_lt_aleph_0 Cardinal.add_right_inj_of_lt_aleph0
@[simp]
theorem add_nat_inj {α β : Cardinal} (n : ℕ) : α + n = β + n ↔ α = β :=
add_right_inj_of_lt_aleph0 (nat_lt_aleph0 _)
#align cardinal.add_nat_inj Cardinal.add_nat_inj
@[simp]
theorem add_one_inj {α β : Cardinal} : α + 1 = β + 1 ↔ α = β :=
add_right_inj_of_lt_aleph0 one_lt_aleph0
#align cardinal.add_one_inj Cardinal.add_one_inj
theorem add_le_add_iff_of_lt_aleph0 {α β γ : Cardinal} (γ₀ : γ < Cardinal.aleph0) :
α + γ ≤ β + γ ↔ α ≤ β := by
refine ⟨fun h => ?_, fun h => add_le_add_right h γ⟩
contrapose h
rw [not_le, lt_iff_le_and_ne, Ne] at h ⊢
exact ⟨add_le_add_right h.1 γ, mt (add_right_inj_of_lt_aleph0 γ₀).1 h.2⟩
#align cardinal.add_le_add_iff_of_lt_aleph_0 Cardinal.add_le_add_iff_of_lt_aleph0
@[simp]
theorem add_nat_le_add_nat_iff {α β : Cardinal} (n : ℕ) : α + n ≤ β + n ↔ α ≤ β :=
add_le_add_iff_of_lt_aleph0 (nat_lt_aleph0 n)
#align cardinal.add_nat_le_add_nat_iff_of_lt_aleph_0 Cardinal.add_nat_le_add_nat_iff
@[deprecated (since := "2024-02-12")]
alias add_nat_le_add_nat_iff_of_lt_aleph_0 := add_nat_le_add_nat_iff
@[simp]
theorem add_one_le_add_one_iff {α β : Cardinal} : α + 1 ≤ β + 1 ↔ α ≤ β :=
add_le_add_iff_of_lt_aleph0 one_lt_aleph0
#align cardinal.add_one_le_add_one_iff_of_lt_aleph_0 Cardinal.add_one_le_add_one_iff
@[deprecated (since := "2024-02-12")]
alias add_one_le_add_one_iff_of_lt_aleph_0 := add_one_le_add_one_iff
/-! ### Properties about power -/
section pow
theorem pow_le {κ μ : Cardinal.{u}} (H1 : ℵ₀ ≤ κ) (H2 : μ < ℵ₀) : κ ^ μ ≤ κ :=
let ⟨n, H3⟩ := lt_aleph0.1 H2
H3.symm ▸
Quotient.inductionOn κ
(fun α H1 =>
Nat.recOn n
(lt_of_lt_of_le
(by
rw [Nat.cast_zero, power_zero]
exact one_lt_aleph0)
H1).le
fun n ih =>
le_of_le_of_eq
(by
rw [Nat.cast_succ, power_add, power_one]
exact mul_le_mul_right' ih _)
(mul_eq_self H1))
H1
#align cardinal.pow_le Cardinal.pow_le
theorem pow_eq {κ μ : Cardinal.{u}} (H1 : ℵ₀ ≤ κ) (H2 : 1 ≤ μ) (H3 : μ < ℵ₀) : κ ^ μ = κ :=
(pow_le H1 H3).antisymm <| self_le_power κ H2
#align cardinal.pow_eq Cardinal.pow_eq
theorem power_self_eq {c : Cardinal} (h : ℵ₀ ≤ c) : c ^ c = 2 ^ c := by
apply ((power_le_power_right <| (cantor c).le).trans _).antisymm
· exact power_le_power_right ((nat_lt_aleph0 2).le.trans h)
· rw [← power_mul, mul_eq_self h]
#align cardinal.power_self_eq Cardinal.power_self_eq
theorem prod_eq_two_power {ι : Type u} [Infinite ι] {c : ι → Cardinal.{v}} (h₁ : ∀ i, 2 ≤ c i)
(h₂ : ∀ i, lift.{u} (c i) ≤ lift.{v} #ι) : prod c = 2 ^ lift.{v} #ι := by
rw [← lift_id'.{u, v} (prod.{u, v} c), lift_prod, ← lift_two_power]
apply le_antisymm
· refine (prod_le_prod _ _ h₂).trans_eq ?_
rw [prod_const, lift_lift, ← lift_power, power_self_eq (aleph0_le_mk ι), lift_umax.{u, v}]
· rw [← prod_const', lift_prod]
refine prod_le_prod _ _ fun i => ?_
rw [lift_two, ← lift_two.{u, v}, lift_le]
exact h₁ i
#align cardinal.prod_eq_two_power Cardinal.prod_eq_two_power
theorem power_eq_two_power {c₁ c₂ : Cardinal} (h₁ : ℵ₀ ≤ c₁) (h₂ : 2 ≤ c₂) (h₂' : c₂ ≤ c₁) :
c₂ ^ c₁ = 2 ^ c₁ :=
le_antisymm (power_self_eq h₁ ▸ power_le_power_right h₂') (power_le_power_right h₂)
#align cardinal.power_eq_two_power Cardinal.power_eq_two_power
theorem nat_power_eq {c : Cardinal.{u}} (h : ℵ₀ ≤ c) {n : ℕ} (hn : 2 ≤ n) :
(n : Cardinal.{u}) ^ c = 2 ^ c :=
power_eq_two_power h (by assumption_mod_cast) ((nat_lt_aleph0 n).le.trans h)
#align cardinal.nat_power_eq Cardinal.nat_power_eq
theorem power_nat_le {c : Cardinal.{u}} {n : ℕ} (h : ℵ₀ ≤ c) : c ^ n ≤ c :=
pow_le h (nat_lt_aleph0 n)
#align cardinal.power_nat_le Cardinal.power_nat_le
theorem power_nat_eq {c : Cardinal.{u}} {n : ℕ} (h1 : ℵ₀ ≤ c) (h2 : 1 ≤ n) : c ^ n = c :=
pow_eq h1 (mod_cast h2) (nat_lt_aleph0 n)
#align cardinal.power_nat_eq Cardinal.power_nat_eq
theorem power_nat_le_max {c : Cardinal.{u}} {n : ℕ} : c ^ (n : Cardinal.{u}) ≤ max c ℵ₀ := by
rcases le_or_lt ℵ₀ c with hc | hc
· exact le_max_of_le_left (power_nat_le hc)
· exact le_max_of_le_right (power_lt_aleph0 hc (nat_lt_aleph0 _)).le
#align cardinal.power_nat_le_max Cardinal.power_nat_le_max
theorem powerlt_aleph0 {c : Cardinal} (h : ℵ₀ ≤ c) : c ^< ℵ₀ = c := by
apply le_antisymm
· rw [powerlt_le]
intro c'
rw [lt_aleph0]
rintro ⟨n, rfl⟩
apply power_nat_le h
convert le_powerlt c one_lt_aleph0; rw [power_one]
#align cardinal.powerlt_aleph_0 Cardinal.powerlt_aleph0
theorem powerlt_aleph0_le (c : Cardinal) : c ^< ℵ₀ ≤ max c ℵ₀ := by
rcases le_or_lt ℵ₀ c with h | h
· rw [powerlt_aleph0 h]
apply le_max_left
rw [powerlt_le]
exact fun c' hc' => (power_lt_aleph0 h hc').le.trans (le_max_right _ _)
#align cardinal.powerlt_aleph_0_le Cardinal.powerlt_aleph0_le
end pow
/-! ### Computing cardinality of various types -/
section computing
section Function
variable {α β : Type u} {β' : Type v}
theorem mk_equiv_eq_zero_iff_lift_ne : #(α ≃ β') = 0 ↔ lift.{v} #α ≠ lift.{u} #β' := by
rw [mk_eq_zero_iff, ← not_nonempty_iff, ← lift_mk_eq']
theorem mk_equiv_eq_zero_iff_ne : #(α ≃ β) = 0 ↔ #α ≠ #β := by
rw [mk_equiv_eq_zero_iff_lift_ne, lift_id, lift_id]
/-- This lemma makes lemmas assuming `Infinite α` applicable to the situation where we have
`Infinite β` instead. -/
theorem mk_equiv_comm : #(α ≃ β') = #(β' ≃ α) :=
(ofBijective _ symm_bijective).cardinal_eq
theorem mk_embedding_eq_zero_iff_lift_lt : #(α ↪ β') = 0 ↔ lift.{u} #β' < lift.{v} #α := by
rw [mk_eq_zero_iff, ← not_nonempty_iff, ← lift_mk_le', not_le]
theorem mk_embedding_eq_zero_iff_lt : #(α ↪ β) = 0 ↔ #β < #α := by
rw [mk_embedding_eq_zero_iff_lift_lt, lift_lt]
theorem mk_arrow_eq_zero_iff : #(α → β') = 0 ↔ #α ≠ 0 ∧ #β' = 0 := by
simp_rw [mk_eq_zero_iff, mk_ne_zero_iff, isEmpty_fun]
theorem mk_surjective_eq_zero_iff_lift :
#{f : α → β' | Surjective f} = 0 ↔ lift.{v} #α < lift.{u} #β' ∨ (#α ≠ 0 ∧ #β' = 0) := by
rw [← not_iff_not, not_or, not_lt, lift_mk_le', ← Ne, not_and_or, not_ne_iff, and_comm]
simp_rw [mk_ne_zero_iff, mk_eq_zero_iff, nonempty_coe_sort,
Set.Nonempty, mem_setOf, exists_surjective_iff, nonempty_fun]
theorem mk_surjective_eq_zero_iff :
#{f : α → β | Surjective f} = 0 ↔ #α < #β ∨ (#α ≠ 0 ∧ #β = 0) := by
rw [mk_surjective_eq_zero_iff_lift, lift_lt]
variable (α β')
theorem mk_equiv_le_embedding : #(α ≃ β') ≤ #(α ↪ β') := ⟨⟨_, Equiv.toEmbedding_injective⟩⟩
theorem mk_embedding_le_arrow : #(α ↪ β') ≤ #(α → β') := ⟨⟨_, DFunLike.coe_injective⟩⟩
variable [Infinite α] {α β'}
theorem mk_perm_eq_self_power : #(Equiv.Perm α) = #α ^ #α :=
((mk_equiv_le_embedding α α).trans (mk_embedding_le_arrow α α)).antisymm <| by
suffices Nonempty ((α → Bool) ↪ Equiv.Perm (α × Bool)) by
obtain ⟨e⟩ : Nonempty (α ≃ α × Bool) := by
erw [← Cardinal.eq, mk_prod, lift_uzero, mk_bool,
lift_natCast, mul_two, add_eq_self (aleph0_le_mk α)]
erw [← le_def, mk_arrow, lift_uzero, mk_bool, lift_natCast 2] at this
rwa [← power_def, power_self_eq (aleph0_le_mk α), e.permCongr.cardinal_eq]
refine ⟨⟨fun f ↦ Involutive.toPerm (fun x ↦ ⟨x.1, xor (f x.1) x.2⟩) fun x ↦ ?_, fun f g h ↦ ?_⟩⟩
· simp_rw [← Bool.xor_assoc, Bool.xor_self, Bool.false_xor]
· ext a; rw [← (f a).xor_false, ← (g a).xor_false]; exact congr(($h ⟨a, false⟩).2)
theorem mk_perm_eq_two_power : #(Equiv.Perm α) = 2 ^ #α := by
rw [mk_perm_eq_self_power, power_self_eq (aleph0_le_mk α)]
variable (leq : lift.{v} #α = lift.{u} #β') (eq : #α = #β)
theorem mk_equiv_eq_arrow_of_lift_eq : #(α ≃ β') = #(α → β') := by
obtain ⟨e⟩ := lift_mk_eq'.mp leq
have e₁ := lift_mk_eq'.mpr ⟨.equivCongr (.refl α) e⟩
have e₂ := lift_mk_eq'.mpr ⟨.arrowCongr (.refl α) e⟩
rw [lift_id'.{u,v}] at e₁ e₂
rw [← e₁, ← e₂, lift_inj, mk_perm_eq_self_power, power_def]
theorem mk_equiv_eq_arrow_of_eq : #(α ≃ β) = #(α → β) :=
mk_equiv_eq_arrow_of_lift_eq congr(lift $eq)
theorem mk_equiv_of_lift_eq : #(α ≃ β') = 2 ^ lift.{v} #α := by
erw [← (lift_mk_eq'.2 ⟨.equivCongr (.refl α) (lift_mk_eq'.1 leq).some⟩).trans (lift_id'.{u,v} _),
lift_umax.{u,v}, mk_perm_eq_two_power, lift_power, lift_natCast]; rfl
theorem mk_equiv_of_eq : #(α ≃ β) = 2 ^ #α := by rw [mk_equiv_of_lift_eq (lift_inj.mpr eq), lift_id]
variable (lle : lift.{u} #β' ≤ lift.{v} #α) (le : #β ≤ #α)
theorem mk_embedding_eq_arrow_of_lift_le : #(β' ↪ α) = #(β' → α) :=
(mk_embedding_le_arrow _ _).antisymm <| by
conv_rhs => rw [← (Equiv.embeddingCongr (.refl _)
(Cardinal.eq.mp <| mul_eq_self <| aleph0_le_mk α).some).cardinal_eq]
obtain ⟨e⟩ := lift_mk_le'.mp lle
exact ⟨⟨fun f ↦ ⟨fun b ↦ ⟨e b, f b⟩, fun _ _ h ↦ e.injective congr(Prod.fst $h)⟩,
fun f g h ↦ funext fun b ↦ congr(Prod.snd <| $h b)⟩⟩
theorem mk_embedding_eq_arrow_of_le : #(β ↪ α) = #(β → α) :=
mk_embedding_eq_arrow_of_lift_le (lift_le.mpr le)
theorem mk_surjective_eq_arrow_of_lift_le : #{f : α → β' | Surjective f} = #(α → β') :=
(mk_set_le _).antisymm <|
have ⟨e⟩ : Nonempty (α ≃ α ⊕ β') := by
simp_rw [← lift_mk_eq', mk_sum, lift_add, lift_lift]; rw [lift_umax.{u,v}, eq_comm]
exact add_eq_left (aleph0_le_lift.mpr <| aleph0_le_mk α) lle
⟨⟨fun f ↦ ⟨fun a ↦ (e a).elim f id, fun b ↦ ⟨e.symm (.inr b), congr_arg _ (e.right_inv _)⟩⟩,
fun f g h ↦ funext fun a ↦ by
simpa only [e.apply_symm_apply] using congr_fun (Subtype.ext_iff.mp h) (e.symm <| .inl a)⟩⟩
theorem mk_surjective_eq_arrow_of_le : #{f : α → β | Surjective f} = #(α → β) :=
mk_surjective_eq_arrow_of_lift_le (lift_le.mpr le)
end Function
@[simp]
theorem mk_list_eq_mk (α : Type u) [Infinite α] : #(List α) = #α :=
have H1 : ℵ₀ ≤ #α := aleph0_le_mk α
Eq.symm <|
le_antisymm ((le_def _ _).2 ⟨⟨fun a => [a], fun _ => by simp⟩⟩) <|
calc
#(List α) = sum fun n : ℕ => #α ^ (n : Cardinal.{u}) := mk_list_eq_sum_pow α
_ ≤ sum fun _ : ℕ => #α := sum_le_sum _ _ fun n => pow_le H1 <| nat_lt_aleph0 n
_ = #α := by simp [H1]
#align cardinal.mk_list_eq_mk Cardinal.mk_list_eq_mk
theorem mk_list_eq_aleph0 (α : Type u) [Countable α] [Nonempty α] : #(List α) = ℵ₀ :=
mk_le_aleph0.antisymm (aleph0_le_mk _)
#align cardinal.mk_list_eq_aleph_0 Cardinal.mk_list_eq_aleph0
theorem mk_list_eq_max_mk_aleph0 (α : Type u) [Nonempty α] : #(List α) = max #α ℵ₀ := by
cases finite_or_infinite α
· rw [mk_list_eq_aleph0, eq_comm, max_eq_right]
exact mk_le_aleph0
· rw [mk_list_eq_mk, eq_comm, max_eq_left]
exact aleph0_le_mk α
#align cardinal.mk_list_eq_max_mk_aleph_0 Cardinal.mk_list_eq_max_mk_aleph0
theorem mk_list_le_max (α : Type u) : #(List α) ≤ max ℵ₀ #α := by
cases finite_or_infinite α
· exact mk_le_aleph0.trans (le_max_left _ _)
· rw [mk_list_eq_mk]
apply le_max_right
#align cardinal.mk_list_le_max Cardinal.mk_list_le_max
@[simp]
theorem mk_finset_of_infinite (α : Type u) [Infinite α] : #(Finset α) = #α :=
Eq.symm <|
le_antisymm (mk_le_of_injective fun _ _ => Finset.singleton_inj.1) <|
calc
#(Finset α) ≤ #(List α) := mk_le_of_surjective List.toFinset_surjective
_ = #α := mk_list_eq_mk α
#align cardinal.mk_finset_of_infinite Cardinal.mk_finset_of_infinite
@[simp]
theorem mk_finsupp_lift_of_infinite (α : Type u) (β : Type v) [Infinite α] [Zero β] [Nontrivial β] :
#(α →₀ β) = max (lift.{v} #α) (lift.{u} #β) := by
apply le_antisymm
· calc
#(α →₀ β) ≤ #(Finset (α × β)) := mk_le_of_injective (Finsupp.graph_injective α β)
_ = #(α × β) := mk_finset_of_infinite _
_ = max (lift.{v} #α) (lift.{u} #β) := by
rw [mk_prod, mul_eq_max_of_aleph0_le_left] <;> simp
· apply max_le <;> rw [← lift_id #(α →₀ β), ← lift_umax]
· cases' exists_ne (0 : β) with b hb
exact lift_mk_le.{v}.2 ⟨⟨_, Finsupp.single_left_injective hb⟩⟩
· inhabit α
exact lift_mk_le.{u}.2 ⟨⟨_, Finsupp.single_injective default⟩⟩
#align cardinal.mk_finsupp_lift_of_infinite Cardinal.mk_finsupp_lift_of_infinite
theorem mk_finsupp_of_infinite (α β : Type u) [Infinite α] [Zero β] [Nontrivial β] :
#(α →₀ β) = max #α #β := by simp
#align cardinal.mk_finsupp_of_infinite Cardinal.mk_finsupp_of_infinite
@[simp]
theorem mk_finsupp_lift_of_infinite' (α : Type u) (β : Type v) [Nonempty α] [Zero β] [Infinite β] :
#(α →₀ β) = max (lift.{v} #α) (lift.{u} #β) := by
cases fintypeOrInfinite α
· rw [mk_finsupp_lift_of_fintype]
have : ℵ₀ ≤ (#β).lift := aleph0_le_lift.2 (aleph0_le_mk β)
rw [max_eq_right (le_trans _ this), power_nat_eq this]
exacts [Fintype.card_pos, lift_le_aleph0.2 (lt_aleph0_of_finite _).le]
· apply mk_finsupp_lift_of_infinite
#align cardinal.mk_finsupp_lift_of_infinite' Cardinal.mk_finsupp_lift_of_infinite'
theorem mk_finsupp_of_infinite' (α β : Type u) [Nonempty α] [Zero β] [Infinite β] :
#(α →₀ β) = max #α #β := by simp
#align cardinal.mk_finsupp_of_infinite' Cardinal.mk_finsupp_of_infinite'
theorem mk_finsupp_nat (α : Type u) [Nonempty α] : #(α →₀ ℕ) = max #α ℵ₀ := by simp
#align cardinal.mk_finsupp_nat Cardinal.mk_finsupp_nat
@[simp]
theorem mk_multiset_of_nonempty (α : Type u) [Nonempty α] : #(Multiset α) = max #α ℵ₀ :=
Multiset.toFinsupp.toEquiv.cardinal_eq.trans (mk_finsupp_nat α)
#align cardinal.mk_multiset_of_nonempty Cardinal.mk_multiset_of_nonempty
theorem mk_multiset_of_infinite (α : Type u) [Infinite α] : #(Multiset α) = #α := by simp
#align cardinal.mk_multiset_of_infinite Cardinal.mk_multiset_of_infinite
theorem mk_multiset_of_isEmpty (α : Type u) [IsEmpty α] : #(Multiset α) = 1 :=
Multiset.toFinsupp.toEquiv.cardinal_eq.trans (by simp)
#align cardinal.mk_multiset_of_is_empty Cardinal.mk_multiset_of_isEmpty
theorem mk_multiset_of_countable (α : Type u) [Countable α] [Nonempty α] : #(Multiset α) = ℵ₀ :=
Multiset.toFinsupp.toEquiv.cardinal_eq.trans (by simp)
#align cardinal.mk_multiset_of_countable Cardinal.mk_multiset_of_countable
theorem mk_bounded_set_le_of_infinite (α : Type u) [Infinite α] (c : Cardinal) :
#{ t : Set α // #t ≤ c } ≤ #α ^ c := by
refine le_trans ?_ (by rw [← add_one_eq (aleph0_le_mk α)])
induction' c using Cardinal.inductionOn with β
fapply mk_le_of_surjective
· intro f
use Sum.inl ⁻¹' range f
refine le_trans (mk_preimage_of_injective _ _ fun x y => Sum.inl.inj) ?_
apply mk_range_le
rintro ⟨s, ⟨g⟩⟩
use fun y => if h : ∃ x : s, g x = y then Sum.inl (Classical.choose h).val
else Sum.inr (ULift.up 0)
apply Subtype.eq; ext x
constructor
· rintro ⟨y, h⟩
dsimp only at h
by_cases h' : ∃ z : s, g z = y
· rw [dif_pos h'] at h
cases Sum.inl.inj h
exact (Classical.choose h').2
· rw [dif_neg h'] at h
cases h
· intro h
have : ∃ z : s, g z = g ⟨x, h⟩ := ⟨⟨x, h⟩, rfl⟩
use g ⟨x, h⟩
dsimp only
rw [dif_pos this]
congr
suffices Classical.choose this = ⟨x, h⟩ from congr_arg Subtype.val this
apply g.2
exact Classical.choose_spec this
#align cardinal.mk_bounded_set_le_of_infinite Cardinal.mk_bounded_set_le_of_infinite
theorem mk_bounded_set_le (α : Type u) (c : Cardinal) :
#{ t : Set α // #t ≤ c } ≤ max #α ℵ₀ ^ c := by
trans #{ t : Set (Sum (ULift.{u} ℕ) α) // #t ≤ c }
· refine ⟨Embedding.subtypeMap ?_ ?_⟩
· apply Embedding.image
use Sum.inr
apply Sum.inr.inj
intro s hs
exact mk_image_le.trans hs
apply (mk_bounded_set_le_of_infinite (Sum (ULift.{u} ℕ) α) c).trans
rw [max_comm, ← add_eq_max] <;> rfl
#align cardinal.mk_bounded_set_le Cardinal.mk_bounded_set_le
theorem mk_bounded_subset_le {α : Type u} (s : Set α) (c : Cardinal.{u}) :
#{ t : Set α // t ⊆ s ∧ #t ≤ c } ≤ max #s ℵ₀ ^ c := by
refine le_trans ?_ (mk_bounded_set_le s c)
refine ⟨Embedding.codRestrict _ ?_ ?_⟩
· use fun t => (↑) ⁻¹' t.1
rintro ⟨t, ht1, ht2⟩ ⟨t', h1t', h2t'⟩ h
apply Subtype.eq
dsimp only at h ⊢
refine (preimage_eq_preimage' ?_ ?_).1 h <;> rw [Subtype.range_coe] <;> assumption
rintro ⟨t, _, h2t⟩; exact (mk_preimage_of_injective _ _ Subtype.val_injective).trans h2t
#align cardinal.mk_bounded_subset_le Cardinal.mk_bounded_subset_le
end computing
/-! ### Properties of `compl` -/
section compl
theorem mk_compl_of_infinite {α : Type*} [Infinite α] (s : Set α) (h2 : #s < #α) :
#(sᶜ : Set α) = #α := by
refine eq_of_add_eq_of_aleph0_le ?_ h2 (aleph0_le_mk α)
exact mk_sum_compl s
#align cardinal.mk_compl_of_infinite Cardinal.mk_compl_of_infinite
theorem mk_compl_finset_of_infinite {α : Type*} [Infinite α] (s : Finset α) :
#((↑s)ᶜ : Set α) = #α := by
apply mk_compl_of_infinite
exact (finset_card_lt_aleph0 s).trans_le (aleph0_le_mk α)
#align cardinal.mk_compl_finset_of_infinite Cardinal.mk_compl_finset_of_infinite
theorem mk_compl_eq_mk_compl_infinite {α : Type*} [Infinite α] {s t : Set α} (hs : #s < #α)
(ht : #t < #α) : #(sᶜ : Set α) = #(tᶜ : Set α) := by
rw [mk_compl_of_infinite s hs, mk_compl_of_infinite t ht]
#align cardinal.mk_compl_eq_mk_compl_infinite Cardinal.mk_compl_eq_mk_compl_infinite
theorem mk_compl_eq_mk_compl_finite_lift {α : Type u} {β : Type v} [Finite α] {s : Set α}
{t : Set β} (h1 : (lift.{max v w, u} #α) = (lift.{max u w, v} #β))
(h2 : lift.{max v w, u} #s = lift.{max u w, v} #t) :
lift.{max v w} #(sᶜ : Set α) = lift.{max u w} #(tᶜ : Set β) := by
cases nonempty_fintype α
rcases lift_mk_eq.{u, v, w}.1 h1 with ⟨e⟩; letI : Fintype β := Fintype.ofEquiv α e
replace h1 : Fintype.card α = Fintype.card β := (Fintype.ofEquiv_card _).symm
classical
lift s to Finset α using s.toFinite
lift t to Finset β using t.toFinite
simp only [Finset.coe_sort_coe, mk_fintype, Fintype.card_coe, lift_natCast, Nat.cast_inj] at h2
simp only [← Finset.coe_compl, Finset.coe_sort_coe, mk_coe_finset, Finset.card_compl,
lift_natCast, Nat.cast_inj, h1, h2]
#align cardinal.mk_compl_eq_mk_compl_finite_lift Cardinal.mk_compl_eq_mk_compl_finite_lift
theorem mk_compl_eq_mk_compl_finite {α β : Type u} [Finite α] {s : Set α} {t : Set β}
(h1 : #α = #β) (h : #s = #t) : #(sᶜ : Set α) = #(tᶜ : Set β) := by
rw [← lift_inj.{u, max u v}]
apply mk_compl_eq_mk_compl_finite_lift.{u, u, max u v}
<;> rwa [lift_inj]
#align cardinal.mk_compl_eq_mk_compl_finite Cardinal.mk_compl_eq_mk_compl_finite
theorem mk_compl_eq_mk_compl_finite_same {α : Type u} [Finite α] {s t : Set α} (h : #s = #t) :
#(sᶜ : Set α) = #(tᶜ : Set α) :=
mk_compl_eq_mk_compl_finite.{u, u} rfl h
#align cardinal.mk_compl_eq_mk_compl_finite_same Cardinal.mk_compl_eq_mk_compl_finite_same
end compl
/-! ### Extending an injection to an equiv -/
theorem extend_function {α β : Type*} {s : Set α} (f : s ↪ β)
(h : Nonempty ((sᶜ : Set α) ≃ ((range f)ᶜ : Set β))) : ∃ g : α ≃ β, ∀ x : s, g x = f x := by
have := h; cases' this with g
let h : α ≃ β :=
(Set.sumCompl (s : Set α)).symm.trans
((sumCongr (Equiv.ofInjective f f.2) g).trans (Set.sumCompl (range f)))
refine ⟨h, ?_⟩; rintro ⟨x, hx⟩; simp [h, Set.sumCompl_symm_apply_of_mem, hx]
#align cardinal.extend_function Cardinal.extend_function
theorem extend_function_finite {α : Type u} {β : Type v} [Finite α] {s : Set α} (f : s ↪ β)
(h : Nonempty (α ≃ β)) : ∃ g : α ≃ β, ∀ x : s, g x = f x := by
apply extend_function.{v, u} f
cases' id h with g
rw [← lift_mk_eq.{u, v, max u v}] at h
rw [← lift_mk_eq.{u, v, max u v}, mk_compl_eq_mk_compl_finite_lift.{u, v, max u v} h]
rw [mk_range_eq_lift.{u, v, max u v}]; exact f.2
#align cardinal.extend_function_finite Cardinal.extend_function_finite
| Mathlib/SetTheory/Cardinal/Ordinal.lean | 1,389 | 1,398 | theorem extend_function_of_lt {α β : Type*} {s : Set α} (f : s ↪ β) (hs : #s < #α)
(h : Nonempty (α ≃ β)) : ∃ g : α ≃ β, ∀ x : s, g x = f x := by |
cases fintypeOrInfinite α
· exact extend_function_finite f h
· apply extend_function f
cases' id h with g
haveI := Infinite.of_injective _ g.injective
rw [← lift_mk_eq'] at h ⊢
rwa [mk_compl_of_infinite s hs, mk_compl_of_infinite]
rwa [← lift_lt, mk_range_eq_of_injective f.injective, ← h, lift_lt]
|
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jan-David Salchow, Sébastien Gouëzel, Jean Lo, Yury Kudryashov, Frédéric Dupuis,
Heather Macbeth
-/
import Mathlib.Topology.Algebra.Ring.Basic
import Mathlib.Topology.Algebra.MulAction
import Mathlib.Topology.Algebra.UniformGroup
import Mathlib.Topology.ContinuousFunction.Basic
import Mathlib.Topology.UniformSpace.UniformEmbedding
import Mathlib.Algebra.Algebra.Defs
import Mathlib.LinearAlgebra.Projection
import Mathlib.LinearAlgebra.Pi
import Mathlib.LinearAlgebra.Finsupp
#align_import topology.algebra.module.basic from "leanprover-community/mathlib"@"6285167a053ad0990fc88e56c48ccd9fae6550eb"
/-!
# Theory of topological modules and continuous linear maps.
We use the class `ContinuousSMul` for topological (semi) modules and topological vector spaces.
In this file we define continuous (semi-)linear maps, as semilinear maps between topological
modules which are continuous. The set of continuous semilinear maps between the topological
`R₁`-module `M` and `R₂`-module `M₂` with respect to the `RingHom` `σ` is denoted by `M →SL[σ] M₂`.
Plain linear maps are denoted by `M →L[R] M₂` and star-linear maps by `M →L⋆[R] M₂`.
The corresponding notation for equivalences is `M ≃SL[σ] M₂`, `M ≃L[R] M₂` and `M ≃L⋆[R] M₂`.
-/
open LinearMap (ker range)
open Topology Filter Pointwise
universe u v w u'
section
variable {R : Type*} {M : Type*} [Ring R] [TopologicalSpace R] [TopologicalSpace M]
[AddCommGroup M] [Module R M]
theorem ContinuousSMul.of_nhds_zero [TopologicalRing R] [TopologicalAddGroup M]
(hmul : Tendsto (fun p : R × M => p.1 • p.2) (𝓝 0 ×ˢ 𝓝 0) (𝓝 0))
(hmulleft : ∀ m : M, Tendsto (fun a : R => a • m) (𝓝 0) (𝓝 0))
(hmulright : ∀ a : R, Tendsto (fun m : M => a • m) (𝓝 0) (𝓝 0)) : ContinuousSMul R M where
continuous_smul := by
refine continuous_of_continuousAt_zero₂ (AddMonoidHom.smul : R →+ M →+ M) ?_ ?_ ?_ <;>
simpa [ContinuousAt, nhds_prod_eq]
#align has_continuous_smul.of_nhds_zero ContinuousSMul.of_nhds_zero
end
section
variable {R : Type*} {M : Type*} [Ring R] [TopologicalSpace R] [TopologicalSpace M]
[AddCommGroup M] [ContinuousAdd M] [Module R M] [ContinuousSMul R M]
/-- If `M` is a topological module over `R` and `0` is a limit of invertible elements of `R`, then
`⊤` is the only submodule of `M` with a nonempty interior.
This is the case, e.g., if `R` is a nontrivially normed field. -/
theorem Submodule.eq_top_of_nonempty_interior' [NeBot (𝓝[{ x : R | IsUnit x }] 0)]
(s : Submodule R M) (hs : (interior (s : Set M)).Nonempty) : s = ⊤ := by
rcases hs with ⟨y, hy⟩
refine Submodule.eq_top_iff'.2 fun x => ?_
rw [mem_interior_iff_mem_nhds] at hy
have : Tendsto (fun c : R => y + c • x) (𝓝[{ x : R | IsUnit x }] 0) (𝓝 (y + (0 : R) • x)) :=
tendsto_const_nhds.add ((tendsto_nhdsWithin_of_tendsto_nhds tendsto_id).smul tendsto_const_nhds)
rw [zero_smul, add_zero] at this
obtain ⟨_, hu : y + _ • _ ∈ s, u, rfl⟩ :=
nonempty_of_mem (inter_mem (Filter.mem_map.1 (this hy)) self_mem_nhdsWithin)
have hy' : y ∈ ↑s := mem_of_mem_nhds hy
rwa [s.add_mem_iff_right hy', ← Units.smul_def, s.smul_mem_iff' u] at hu
#align submodule.eq_top_of_nonempty_interior' Submodule.eq_top_of_nonempty_interior'
variable (R M)
/-- Let `R` be a topological ring such that zero is not an isolated point (e.g., a nontrivially
normed field, see `NormedField.punctured_nhds_neBot`). Let `M` be a nontrivial module over `R`
such that `c • x = 0` implies `c = 0 ∨ x = 0`. Then `M` has no isolated points. We formulate this
using `NeBot (𝓝[≠] x)`.
This lemma is not an instance because Lean would need to find `[ContinuousSMul ?m_1 M]` with
unknown `?m_1`. We register this as an instance for `R = ℝ` in `Real.punctured_nhds_module_neBot`.
One can also use `haveI := Module.punctured_nhds_neBot R M` in a proof.
-/
theorem Module.punctured_nhds_neBot [Nontrivial M] [NeBot (𝓝[≠] (0 : R))] [NoZeroSMulDivisors R M]
(x : M) : NeBot (𝓝[≠] x) := by
rcases exists_ne (0 : M) with ⟨y, hy⟩
suffices Tendsto (fun c : R => x + c • y) (𝓝[≠] 0) (𝓝[≠] x) from this.neBot
refine Tendsto.inf ?_ (tendsto_principal_principal.2 <| ?_)
· convert tendsto_const_nhds.add ((@tendsto_id R _).smul_const y)
rw [zero_smul, add_zero]
· intro c hc
simpa [hy] using hc
#align module.punctured_nhds_ne_bot Module.punctured_nhds_neBot
end
section LatticeOps
variable {ι R M₁ M₂ : Type*} [Semiring R] [AddCommMonoid M₁] [AddCommMonoid M₂] [Module R M₁]
[Module R M₂] [u : TopologicalSpace R] {t : TopologicalSpace M₂} [ContinuousSMul R M₂]
(f : M₁ →ₗ[R] M₂)
theorem continuousSMul_induced : @ContinuousSMul R M₁ _ u (t.induced f) :=
let _ : TopologicalSpace M₁ := t.induced f
Inducing.continuousSMul ⟨rfl⟩ continuous_id (map_smul f _ _)
#align has_continuous_smul_induced continuousSMul_induced
end LatticeOps
/-- The span of a separable subset with respect to a separable scalar ring is again separable. -/
lemma TopologicalSpace.IsSeparable.span {R M : Type*} [AddCommMonoid M] [Semiring R] [Module R M]
[TopologicalSpace M] [TopologicalSpace R] [SeparableSpace R]
[ContinuousAdd M] [ContinuousSMul R M] {s : Set M} (hs : IsSeparable s) :
IsSeparable (Submodule.span R s : Set M) := by
rw [span_eq_iUnion_nat]
refine .iUnion fun n ↦ .image ?_ ?_
· have : IsSeparable {f : Fin n → R × M | ∀ (i : Fin n), f i ∈ Set.univ ×ˢ s} := by
apply isSeparable_pi (fun i ↦ .prod (.of_separableSpace Set.univ) hs)
rwa [Set.univ_prod] at this
· apply continuous_finset_sum _ (fun i _ ↦ ?_)
exact (continuous_fst.comp (continuous_apply i)).smul (continuous_snd.comp (continuous_apply i))
namespace Submodule
variable {α β : Type*} [TopologicalSpace β]
#align submodule.has_continuous_smul SMulMemClass.continuousSMul
instance topologicalAddGroup [Ring α] [AddCommGroup β] [Module α β] [TopologicalAddGroup β]
(S : Submodule α β) : TopologicalAddGroup S :=
inferInstanceAs (TopologicalAddGroup S.toAddSubgroup)
#align submodule.topological_add_group Submodule.topologicalAddGroup
end Submodule
section closure
variable {R R' : Type u} {M M' : Type v} [Semiring R] [Ring R']
[TopologicalSpace M] [AddCommMonoid M] [TopologicalSpace M'] [AddCommGroup M'] [Module R M]
[ContinuousConstSMul R M] [Module R' M'] [ContinuousConstSMul R' M']
theorem Submodule.mapsTo_smul_closure (s : Submodule R M) (c : R) :
Set.MapsTo (c • ·) (closure s : Set M) (closure s) :=
have : Set.MapsTo (c • ·) (s : Set M) s := fun _ h ↦ s.smul_mem c h
this.closure (continuous_const_smul c)
theorem Submodule.smul_closure_subset (s : Submodule R M) (c : R) :
c • closure (s : Set M) ⊆ closure (s : Set M) :=
(s.mapsTo_smul_closure c).image_subset
variable [ContinuousAdd M]
/-- The (topological-space) closure of a submodule of a topological `R`-module `M` is itself
a submodule. -/
def Submodule.topologicalClosure (s : Submodule R M) : Submodule R M :=
{ s.toAddSubmonoid.topologicalClosure with
smul_mem' := s.mapsTo_smul_closure }
#align submodule.topological_closure Submodule.topologicalClosure
@[simp]
theorem Submodule.topologicalClosure_coe (s : Submodule R M) :
(s.topologicalClosure : Set M) = closure (s : Set M) :=
rfl
#align submodule.topological_closure_coe Submodule.topologicalClosure_coe
theorem Submodule.le_topologicalClosure (s : Submodule R M) : s ≤ s.topologicalClosure :=
subset_closure
#align submodule.le_topological_closure Submodule.le_topologicalClosure
theorem Submodule.closure_subset_topologicalClosure_span (s : Set M) :
closure s ⊆ (span R s).topologicalClosure := by
rw [Submodule.topologicalClosure_coe]
exact closure_mono subset_span
theorem Submodule.isClosed_topologicalClosure (s : Submodule R M) :
IsClosed (s.topologicalClosure : Set M) := isClosed_closure
#align submodule.is_closed_topological_closure Submodule.isClosed_topologicalClosure
theorem Submodule.topologicalClosure_minimal (s : Submodule R M) {t : Submodule R M} (h : s ≤ t)
(ht : IsClosed (t : Set M)) : s.topologicalClosure ≤ t :=
closure_minimal h ht
#align submodule.topological_closure_minimal Submodule.topologicalClosure_minimal
theorem Submodule.topologicalClosure_mono {s : Submodule R M} {t : Submodule R M} (h : s ≤ t) :
s.topologicalClosure ≤ t.topologicalClosure :=
closure_mono h
#align submodule.topological_closure_mono Submodule.topologicalClosure_mono
/-- The topological closure of a closed submodule `s` is equal to `s`. -/
theorem IsClosed.submodule_topologicalClosure_eq {s : Submodule R M} (hs : IsClosed (s : Set M)) :
s.topologicalClosure = s :=
SetLike.ext' hs.closure_eq
#align is_closed.submodule_topological_closure_eq IsClosed.submodule_topologicalClosure_eq
/-- A subspace is dense iff its topological closure is the entire space. -/
| Mathlib/Topology/Algebra/Module/Basic.lean | 198 | 201 | theorem Submodule.dense_iff_topologicalClosure_eq_top {s : Submodule R M} :
Dense (s : Set M) ↔ s.topologicalClosure = ⊤ := by |
rw [← SetLike.coe_set_eq, dense_iff_closure_eq]
simp
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Floris van Doorn
-/
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.Finsupp.Defs
import Mathlib.Data.Nat.Cast.Order
import Mathlib.Data.Set.Countable
import Mathlib.Logic.Small.Set
import Mathlib.Order.SuccPred.CompleteLinearOrder
import Mathlib.SetTheory.Cardinal.SchroederBernstein
#align_import set_theory.cardinal.basic from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8"
/-!
# Cardinal Numbers
We define cardinal numbers as a quotient of types under the equivalence relation of equinumerity.
## Main definitions
* `Cardinal` is the type of cardinal numbers (in a given universe).
* `Cardinal.mk α` or `#α` is the cardinality of `α`. The notation `#` lives in the locale
`Cardinal`.
* Addition `c₁ + c₂` is defined by `Cardinal.add_def α β : #α + #β = #(α ⊕ β)`.
* Multiplication `c₁ * c₂` is defined by `Cardinal.mul_def : #α * #β = #(α × β)`.
* The order `c₁ ≤ c₂` is defined by `Cardinal.le_def α β : #α ≤ #β ↔ Nonempty (α ↪ β)`.
* Exponentiation `c₁ ^ c₂` is defined by `Cardinal.power_def α β : #α ^ #β = #(β → α)`.
* `Cardinal.isLimit c` means that `c` is a (weak) limit cardinal: `c ≠ 0 ∧ ∀ x < c, succ x < c`.
* `Cardinal.aleph0` or `ℵ₀` is the cardinality of `ℕ`. This definition is universe polymorphic:
`Cardinal.aleph0.{u} : Cardinal.{u}` (contrast with `ℕ : Type`, which lives in a specific
universe). In some cases the universe level has to be given explicitly.
* `Cardinal.sum` is the sum of an indexed family of cardinals, i.e. the cardinality of the
corresponding sigma type.
* `Cardinal.prod` is the product of an indexed family of cardinals, i.e. the cardinality of the
corresponding pi type.
* `Cardinal.powerlt a b` or `a ^< b` is defined as the supremum of `a ^ c` for `c < b`.
## Main instances
* Cardinals form a `CanonicallyOrderedCommSemiring` with the aforementioned sum and product.
* Cardinals form a `SuccOrder`. Use `Order.succ c` for the smallest cardinal greater than `c`.
* The less than relation on cardinals forms a well-order.
* Cardinals form a `ConditionallyCompleteLinearOrderBot`. Bounded sets for cardinals in universe
`u` are precisely the sets indexed by some type in universe `u`, see
`Cardinal.bddAbove_iff_small`. One can use `sSup` for the cardinal supremum, and `sInf` for the
minimum of a set of cardinals.
## Main Statements
* Cantor's theorem: `Cardinal.cantor c : c < 2 ^ c`.
* König's theorem: `Cardinal.sum_lt_prod`
## Implementation notes
* There is a type of cardinal numbers in every universe level:
`Cardinal.{u} : Type (u + 1)` is the quotient of types in `Type u`.
The operation `Cardinal.lift` lifts cardinal numbers to a higher level.
* Cardinal arithmetic specifically for infinite cardinals (like `κ * κ = κ`) is in the file
`Mathlib/SetTheory/Cardinal/Ordinal.lean`.
* There is an instance `Pow Cardinal`, but this will only fire if Lean already knows that both
the base and the exponent live in the same universe. As a workaround, you can add
```
local infixr:80 " ^' " => @HPow.hPow Cardinal Cardinal Cardinal _
```
to a file. This notation will work even if Lean doesn't know yet that the base and the exponent
live in the same universe (but no exponents in other types can be used).
(Porting note: This last point might need to be updated.)
## References
* <https://en.wikipedia.org/wiki/Cardinal_number>
## Tags
cardinal number, cardinal arithmetic, cardinal exponentiation, aleph,
Cantor's theorem, König's theorem, Konig's theorem
-/
assert_not_exists Field
assert_not_exists Module
open scoped Classical
open Function Set Order
noncomputable section
universe u v w
variable {α β : Type u}
/-- The equivalence relation on types given by equivalence (bijective correspondence) of types.
Quotienting by this equivalence relation gives the cardinal numbers.
-/
instance Cardinal.isEquivalent : Setoid (Type u) where
r α β := Nonempty (α ≃ β)
iseqv := ⟨
fun α => ⟨Equiv.refl α⟩,
fun ⟨e⟩ => ⟨e.symm⟩,
fun ⟨e₁⟩ ⟨e₂⟩ => ⟨e₁.trans e₂⟩⟩
#align cardinal.is_equivalent Cardinal.isEquivalent
/-- `Cardinal.{u}` is the type of cardinal numbers in `Type u`,
defined as the quotient of `Type u` by existence of an equivalence
(a bijection with explicit inverse). -/
@[pp_with_univ]
def Cardinal : Type (u + 1) :=
Quotient Cardinal.isEquivalent
#align cardinal Cardinal
namespace Cardinal
/-- The cardinal number of a type -/
def mk : Type u → Cardinal :=
Quotient.mk'
#align cardinal.mk Cardinal.mk
@[inherit_doc]
scoped prefix:max "#" => Cardinal.mk
instance canLiftCardinalType : CanLift Cardinal.{u} (Type u) mk fun _ => True :=
⟨fun c _ => Quot.inductionOn c fun α => ⟨α, rfl⟩⟩
#align cardinal.can_lift_cardinal_Type Cardinal.canLiftCardinalType
@[elab_as_elim]
theorem inductionOn {p : Cardinal → Prop} (c : Cardinal) (h : ∀ α, p #α) : p c :=
Quotient.inductionOn c h
#align cardinal.induction_on Cardinal.inductionOn
@[elab_as_elim]
theorem inductionOn₂ {p : Cardinal → Cardinal → Prop} (c₁ : Cardinal) (c₂ : Cardinal)
(h : ∀ α β, p #α #β) : p c₁ c₂ :=
Quotient.inductionOn₂ c₁ c₂ h
#align cardinal.induction_on₂ Cardinal.inductionOn₂
@[elab_as_elim]
theorem inductionOn₃ {p : Cardinal → Cardinal → Cardinal → Prop} (c₁ : Cardinal) (c₂ : Cardinal)
(c₃ : Cardinal) (h : ∀ α β γ, p #α #β #γ) : p c₁ c₂ c₃ :=
Quotient.inductionOn₃ c₁ c₂ c₃ h
#align cardinal.induction_on₃ Cardinal.inductionOn₃
protected theorem eq : #α = #β ↔ Nonempty (α ≃ β) :=
Quotient.eq'
#align cardinal.eq Cardinal.eq
@[simp]
theorem mk'_def (α : Type u) : @Eq Cardinal ⟦α⟧ #α :=
rfl
#align cardinal.mk_def Cardinal.mk'_def
@[simp]
theorem mk_out (c : Cardinal) : #c.out = c :=
Quotient.out_eq _
#align cardinal.mk_out Cardinal.mk_out
/-- The representative of the cardinal of a type is equivalent to the original type. -/
def outMkEquiv {α : Type v} : (#α).out ≃ α :=
Nonempty.some <| Cardinal.eq.mp (by simp)
#align cardinal.out_mk_equiv Cardinal.outMkEquiv
theorem mk_congr (e : α ≃ β) : #α = #β :=
Quot.sound ⟨e⟩
#align cardinal.mk_congr Cardinal.mk_congr
alias _root_.Equiv.cardinal_eq := mk_congr
#align equiv.cardinal_eq Equiv.cardinal_eq
/-- Lift a function between `Type*`s to a function between `Cardinal`s. -/
def map (f : Type u → Type v) (hf : ∀ α β, α ≃ β → f α ≃ f β) : Cardinal.{u} → Cardinal.{v} :=
Quotient.map f fun α β ⟨e⟩ => ⟨hf α β e⟩
#align cardinal.map Cardinal.map
@[simp]
theorem map_mk (f : Type u → Type v) (hf : ∀ α β, α ≃ β → f α ≃ f β) (α : Type u) :
map f hf #α = #(f α) :=
rfl
#align cardinal.map_mk Cardinal.map_mk
/-- Lift a binary operation `Type* → Type* → Type*` to a binary operation on `Cardinal`s. -/
def map₂ (f : Type u → Type v → Type w) (hf : ∀ α β γ δ, α ≃ β → γ ≃ δ → f α γ ≃ f β δ) :
Cardinal.{u} → Cardinal.{v} → Cardinal.{w} :=
Quotient.map₂ f fun α β ⟨e₁⟩ γ δ ⟨e₂⟩ => ⟨hf α β γ δ e₁ e₂⟩
#align cardinal.map₂ Cardinal.map₂
/-- The universe lift operation on cardinals. You can specify the universes explicitly with
`lift.{u v} : Cardinal.{v} → Cardinal.{max v u}` -/
@[pp_with_univ]
def lift (c : Cardinal.{v}) : Cardinal.{max v u} :=
map ULift.{u, v} (fun _ _ e => Equiv.ulift.trans <| e.trans Equiv.ulift.symm) c
#align cardinal.lift Cardinal.lift
@[simp]
theorem mk_uLift (α) : #(ULift.{v, u} α) = lift.{v} #α :=
rfl
#align cardinal.mk_ulift Cardinal.mk_uLift
-- Porting note: simpNF is not happy with universe levels, but this is needed as simp lemma
-- further down in this file
/-- `lift.{max u v, u}` equals `lift.{v, u}`. -/
@[simp, nolint simpNF]
theorem lift_umax : lift.{max u v, u} = lift.{v, u} :=
funext fun a => inductionOn a fun _ => (Equiv.ulift.trans Equiv.ulift.symm).cardinal_eq
#align cardinal.lift_umax Cardinal.lift_umax
-- Porting note: simpNF is not happy with universe levels, but this is needed as simp lemma
-- further down in this file
/-- `lift.{max v u, u}` equals `lift.{v, u}`. -/
@[simp, nolint simpNF]
theorem lift_umax' : lift.{max v u, u} = lift.{v, u} :=
lift_umax
#align cardinal.lift_umax' Cardinal.lift_umax'
-- Porting note: simpNF is not happy with universe levels, but this is needed as simp lemma
-- further down in this file
/-- A cardinal lifted to a lower or equal universe equals itself. -/
@[simp, nolint simpNF]
theorem lift_id' (a : Cardinal.{max u v}) : lift.{u} a = a :=
inductionOn a fun _ => mk_congr Equiv.ulift
#align cardinal.lift_id' Cardinal.lift_id'
/-- A cardinal lifted to the same universe equals itself. -/
@[simp]
theorem lift_id (a : Cardinal) : lift.{u, u} a = a :=
lift_id'.{u, u} a
#align cardinal.lift_id Cardinal.lift_id
/-- A cardinal lifted to the zero universe equals itself. -/
-- porting note (#10618): simp can prove this
-- @[simp]
theorem lift_uzero (a : Cardinal.{u}) : lift.{0} a = a :=
lift_id'.{0, u} a
#align cardinal.lift_uzero Cardinal.lift_uzero
@[simp]
theorem lift_lift.{u_1} (a : Cardinal.{u_1}) : lift.{w} (lift.{v} a) = lift.{max v w} a :=
inductionOn a fun _ => (Equiv.ulift.trans <| Equiv.ulift.trans Equiv.ulift.symm).cardinal_eq
#align cardinal.lift_lift Cardinal.lift_lift
/-- We define the order on cardinal numbers by `#α ≤ #β` if and only if
there exists an embedding (injective function) from α to β. -/
instance : LE Cardinal.{u} :=
⟨fun q₁ q₂ =>
Quotient.liftOn₂ q₁ q₂ (fun α β => Nonempty <| α ↪ β) fun _ _ _ _ ⟨e₁⟩ ⟨e₂⟩ =>
propext ⟨fun ⟨e⟩ => ⟨e.congr e₁ e₂⟩, fun ⟨e⟩ => ⟨e.congr e₁.symm e₂.symm⟩⟩⟩
instance partialOrder : PartialOrder Cardinal.{u} where
le := (· ≤ ·)
le_refl := by
rintro ⟨α⟩
exact ⟨Embedding.refl _⟩
le_trans := by
rintro ⟨α⟩ ⟨β⟩ ⟨γ⟩ ⟨e₁⟩ ⟨e₂⟩
exact ⟨e₁.trans e₂⟩
le_antisymm := by
rintro ⟨α⟩ ⟨β⟩ ⟨e₁⟩ ⟨e₂⟩
exact Quotient.sound (e₁.antisymm e₂)
instance linearOrder : LinearOrder Cardinal.{u} :=
{ Cardinal.partialOrder with
le_total := by
rintro ⟨α⟩ ⟨β⟩
apply Embedding.total
decidableLE := Classical.decRel _ }
theorem le_def (α β : Type u) : #α ≤ #β ↔ Nonempty (α ↪ β) :=
Iff.rfl
#align cardinal.le_def Cardinal.le_def
theorem mk_le_of_injective {α β : Type u} {f : α → β} (hf : Injective f) : #α ≤ #β :=
⟨⟨f, hf⟩⟩
#align cardinal.mk_le_of_injective Cardinal.mk_le_of_injective
theorem _root_.Function.Embedding.cardinal_le {α β : Type u} (f : α ↪ β) : #α ≤ #β :=
⟨f⟩
#align function.embedding.cardinal_le Function.Embedding.cardinal_le
theorem mk_le_of_surjective {α β : Type u} {f : α → β} (hf : Surjective f) : #β ≤ #α :=
⟨Embedding.ofSurjective f hf⟩
#align cardinal.mk_le_of_surjective Cardinal.mk_le_of_surjective
theorem le_mk_iff_exists_set {c : Cardinal} {α : Type u} : c ≤ #α ↔ ∃ p : Set α, #p = c :=
⟨inductionOn c fun _ ⟨⟨f, hf⟩⟩ => ⟨Set.range f, (Equiv.ofInjective f hf).cardinal_eq.symm⟩,
fun ⟨_, e⟩ => e ▸ ⟨⟨Subtype.val, fun _ _ => Subtype.eq⟩⟩⟩
#align cardinal.le_mk_iff_exists_set Cardinal.le_mk_iff_exists_set
theorem mk_subtype_le {α : Type u} (p : α → Prop) : #(Subtype p) ≤ #α :=
⟨Embedding.subtype p⟩
#align cardinal.mk_subtype_le Cardinal.mk_subtype_le
theorem mk_set_le (s : Set α) : #s ≤ #α :=
mk_subtype_le s
#align cardinal.mk_set_le Cardinal.mk_set_le
@[simp]
lemma mk_preimage_down {s : Set α} : #(ULift.down.{v} ⁻¹' s) = lift.{v} (#s) := by
rw [← mk_uLift, Cardinal.eq]
constructor
let f : ULift.down ⁻¹' s → ULift s := fun x ↦ ULift.up (restrictPreimage s ULift.down x)
have : Function.Bijective f :=
ULift.up_bijective.comp (restrictPreimage_bijective _ (ULift.down_bijective))
exact Equiv.ofBijective f this
theorem out_embedding {c c' : Cardinal} : c ≤ c' ↔ Nonempty (c.out ↪ c'.out) := by
trans
· rw [← Quotient.out_eq c, ← Quotient.out_eq c']
· rw [mk'_def, mk'_def, le_def]
#align cardinal.out_embedding Cardinal.out_embedding
theorem lift_mk_le {α : Type v} {β : Type w} :
lift.{max u w} #α ≤ lift.{max u v} #β ↔ Nonempty (α ↪ β) :=
⟨fun ⟨f⟩ => ⟨Embedding.congr Equiv.ulift Equiv.ulift f⟩, fun ⟨f⟩ =>
⟨Embedding.congr Equiv.ulift.symm Equiv.ulift.symm f⟩⟩
#align cardinal.lift_mk_le Cardinal.lift_mk_le
/-- A variant of `Cardinal.lift_mk_le` with specialized universes.
Because Lean often can not realize it should use this specialization itself,
we provide this statement separately so you don't have to solve the specialization problem either.
-/
theorem lift_mk_le' {α : Type u} {β : Type v} : lift.{v} #α ≤ lift.{u} #β ↔ Nonempty (α ↪ β) :=
lift_mk_le.{0}
#align cardinal.lift_mk_le' Cardinal.lift_mk_le'
theorem lift_mk_eq {α : Type u} {β : Type v} :
lift.{max v w} #α = lift.{max u w} #β ↔ Nonempty (α ≃ β) :=
Quotient.eq'.trans
⟨fun ⟨f⟩ => ⟨Equiv.ulift.symm.trans <| f.trans Equiv.ulift⟩, fun ⟨f⟩ =>
⟨Equiv.ulift.trans <| f.trans Equiv.ulift.symm⟩⟩
#align cardinal.lift_mk_eq Cardinal.lift_mk_eq
/-- A variant of `Cardinal.lift_mk_eq` with specialized universes.
Because Lean often can not realize it should use this specialization itself,
we provide this statement separately so you don't have to solve the specialization problem either.
-/
theorem lift_mk_eq' {α : Type u} {β : Type v} : lift.{v} #α = lift.{u} #β ↔ Nonempty (α ≃ β) :=
lift_mk_eq.{u, v, 0}
#align cardinal.lift_mk_eq' Cardinal.lift_mk_eq'
@[simp]
theorem lift_le {a b : Cardinal.{v}} : lift.{u, v} a ≤ lift.{u, v} b ↔ a ≤ b :=
inductionOn₂ a b fun α β => by
rw [← lift_umax]
exact lift_mk_le.{u}
#align cardinal.lift_le Cardinal.lift_le
-- Porting note: changed `simps` to `simps!` because the linter told to do so.
/-- `Cardinal.lift` as an `OrderEmbedding`. -/
@[simps! (config := .asFn)]
def liftOrderEmbedding : Cardinal.{v} ↪o Cardinal.{max v u} :=
OrderEmbedding.ofMapLEIff lift.{u, v} fun _ _ => lift_le
#align cardinal.lift_order_embedding Cardinal.liftOrderEmbedding
theorem lift_injective : Injective lift.{u, v} :=
liftOrderEmbedding.injective
#align cardinal.lift_injective Cardinal.lift_injective
@[simp]
theorem lift_inj {a b : Cardinal.{u}} : lift.{v, u} a = lift.{v, u} b ↔ a = b :=
lift_injective.eq_iff
#align cardinal.lift_inj Cardinal.lift_inj
@[simp]
theorem lift_lt {a b : Cardinal.{u}} : lift.{v, u} a < lift.{v, u} b ↔ a < b :=
liftOrderEmbedding.lt_iff_lt
#align cardinal.lift_lt Cardinal.lift_lt
theorem lift_strictMono : StrictMono lift := fun _ _ => lift_lt.2
#align cardinal.lift_strict_mono Cardinal.lift_strictMono
theorem lift_monotone : Monotone lift :=
lift_strictMono.monotone
#align cardinal.lift_monotone Cardinal.lift_monotone
instance : Zero Cardinal.{u} :=
-- `PEmpty` might be more canonical, but this is convenient for defeq with natCast
⟨lift #(Fin 0)⟩
instance : Inhabited Cardinal.{u} :=
⟨0⟩
@[simp]
theorem mk_eq_zero (α : Type u) [IsEmpty α] : #α = 0 :=
(Equiv.equivOfIsEmpty α (ULift (Fin 0))).cardinal_eq
#align cardinal.mk_eq_zero Cardinal.mk_eq_zero
@[simp]
theorem lift_zero : lift 0 = 0 := mk_eq_zero _
#align cardinal.lift_zero Cardinal.lift_zero
@[simp]
theorem lift_eq_zero {a : Cardinal.{v}} : lift.{u} a = 0 ↔ a = 0 :=
lift_injective.eq_iff' lift_zero
#align cardinal.lift_eq_zero Cardinal.lift_eq_zero
theorem mk_eq_zero_iff {α : Type u} : #α = 0 ↔ IsEmpty α :=
⟨fun e =>
let ⟨h⟩ := Quotient.exact e
h.isEmpty,
@mk_eq_zero α⟩
#align cardinal.mk_eq_zero_iff Cardinal.mk_eq_zero_iff
theorem mk_ne_zero_iff {α : Type u} : #α ≠ 0 ↔ Nonempty α :=
(not_iff_not.2 mk_eq_zero_iff).trans not_isEmpty_iff
#align cardinal.mk_ne_zero_iff Cardinal.mk_ne_zero_iff
@[simp]
theorem mk_ne_zero (α : Type u) [Nonempty α] : #α ≠ 0 :=
mk_ne_zero_iff.2 ‹_›
#align cardinal.mk_ne_zero Cardinal.mk_ne_zero
instance : One Cardinal.{u} :=
-- `PUnit` might be more canonical, but this is convenient for defeq with natCast
⟨lift #(Fin 1)⟩
instance : Nontrivial Cardinal.{u} :=
⟨⟨1, 0, mk_ne_zero _⟩⟩
theorem mk_eq_one (α : Type u) [Unique α] : #α = 1 :=
(Equiv.equivOfUnique α (ULift (Fin 1))).cardinal_eq
#align cardinal.mk_eq_one Cardinal.mk_eq_one
theorem le_one_iff_subsingleton {α : Type u} : #α ≤ 1 ↔ Subsingleton α :=
⟨fun ⟨f⟩ => ⟨fun _ _ => f.injective (Subsingleton.elim _ _)⟩, fun ⟨h⟩ =>
⟨fun _ => ULift.up 0, fun _ _ _ => h _ _⟩⟩
#align cardinal.le_one_iff_subsingleton Cardinal.le_one_iff_subsingleton
@[simp]
theorem mk_le_one_iff_set_subsingleton {s : Set α} : #s ≤ 1 ↔ s.Subsingleton :=
le_one_iff_subsingleton.trans s.subsingleton_coe
#align cardinal.mk_le_one_iff_set_subsingleton Cardinal.mk_le_one_iff_set_subsingleton
alias ⟨_, _root_.Set.Subsingleton.cardinal_mk_le_one⟩ := mk_le_one_iff_set_subsingleton
#align set.subsingleton.cardinal_mk_le_one Set.Subsingleton.cardinal_mk_le_one
instance : Add Cardinal.{u} :=
⟨map₂ Sum fun _ _ _ _ => Equiv.sumCongr⟩
theorem add_def (α β : Type u) : #α + #β = #(Sum α β) :=
rfl
#align cardinal.add_def Cardinal.add_def
instance : NatCast Cardinal.{u} :=
⟨fun n => lift #(Fin n)⟩
@[simp]
theorem mk_sum (α : Type u) (β : Type v) : #(α ⊕ β) = lift.{v, u} #α + lift.{u, v} #β :=
mk_congr (Equiv.ulift.symm.sumCongr Equiv.ulift.symm)
#align cardinal.mk_sum Cardinal.mk_sum
@[simp]
theorem mk_option {α : Type u} : #(Option α) = #α + 1 := by
rw [(Equiv.optionEquivSumPUnit.{u, u} α).cardinal_eq, mk_sum, mk_eq_one PUnit, lift_id, lift_id]
#align cardinal.mk_option Cardinal.mk_option
@[simp]
theorem mk_psum (α : Type u) (β : Type v) : #(PSum α β) = lift.{v} #α + lift.{u} #β :=
(mk_congr (Equiv.psumEquivSum α β)).trans (mk_sum α β)
#align cardinal.mk_psum Cardinal.mk_psum
@[simp]
theorem mk_fintype (α : Type u) [h : Fintype α] : #α = Fintype.card α :=
mk_congr (Fintype.equivOfCardEq (by simp))
protected theorem cast_succ (n : ℕ) : ((n + 1 : ℕ) : Cardinal.{u}) = n + 1 := by
change #(ULift.{u} (Fin (n+1))) = # (ULift.{u} (Fin n)) + 1
rw [← mk_option, mk_fintype, mk_fintype]
simp only [Fintype.card_ulift, Fintype.card_fin, Fintype.card_option]
instance : Mul Cardinal.{u} :=
⟨map₂ Prod fun _ _ _ _ => Equiv.prodCongr⟩
theorem mul_def (α β : Type u) : #α * #β = #(α × β) :=
rfl
#align cardinal.mul_def Cardinal.mul_def
@[simp]
theorem mk_prod (α : Type u) (β : Type v) : #(α × β) = lift.{v, u} #α * lift.{u, v} #β :=
mk_congr (Equiv.ulift.symm.prodCongr Equiv.ulift.symm)
#align cardinal.mk_prod Cardinal.mk_prod
private theorem mul_comm' (a b : Cardinal.{u}) : a * b = b * a :=
inductionOn₂ a b fun α β => mk_congr <| Equiv.prodComm α β
/-- The cardinal exponential. `#α ^ #β` is the cardinal of `β → α`. -/
instance instPowCardinal : Pow Cardinal.{u} Cardinal.{u} :=
⟨map₂ (fun α β => β → α) fun _ _ _ _ e₁ e₂ => e₂.arrowCongr e₁⟩
theorem power_def (α β : Type u) : #α ^ #β = #(β → α) :=
rfl
#align cardinal.power_def Cardinal.power_def
theorem mk_arrow (α : Type u) (β : Type v) : #(α → β) = (lift.{u} #β^lift.{v} #α) :=
mk_congr (Equiv.ulift.symm.arrowCongr Equiv.ulift.symm)
#align cardinal.mk_arrow Cardinal.mk_arrow
@[simp]
theorem lift_power (a b : Cardinal.{u}) : lift.{v} (a ^ b) = lift.{v} a ^ lift.{v} b :=
inductionOn₂ a b fun _ _ =>
mk_congr <| Equiv.ulift.trans (Equiv.ulift.arrowCongr Equiv.ulift).symm
#align cardinal.lift_power Cardinal.lift_power
@[simp]
theorem power_zero {a : Cardinal} : a ^ (0 : Cardinal) = 1 :=
inductionOn a fun _ => mk_eq_one _
#align cardinal.power_zero Cardinal.power_zero
@[simp]
theorem power_one {a : Cardinal.{u}} : a ^ (1 : Cardinal) = a :=
inductionOn a fun α => mk_congr (Equiv.funUnique (ULift.{u} (Fin 1)) α)
#align cardinal.power_one Cardinal.power_one
theorem power_add {a b c : Cardinal} : a ^ (b + c) = a ^ b * a ^ c :=
inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.sumArrowEquivProdArrow β γ α
#align cardinal.power_add Cardinal.power_add
instance commSemiring : CommSemiring Cardinal.{u} where
zero := 0
one := 1
add := (· + ·)
mul := (· * ·)
zero_add a := inductionOn a fun α => mk_congr <| Equiv.emptySum (ULift (Fin 0)) α
add_zero a := inductionOn a fun α => mk_congr <| Equiv.sumEmpty α (ULift (Fin 0))
add_assoc a b c := inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.sumAssoc α β γ
add_comm a b := inductionOn₂ a b fun α β => mk_congr <| Equiv.sumComm α β
zero_mul a := inductionOn a fun α => mk_eq_zero _
mul_zero a := inductionOn a fun α => mk_eq_zero _
one_mul a := inductionOn a fun α => mk_congr <| Equiv.uniqueProd α (ULift (Fin 1))
mul_one a := inductionOn a fun α => mk_congr <| Equiv.prodUnique α (ULift (Fin 1))
mul_assoc a b c := inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.prodAssoc α β γ
mul_comm := mul_comm'
left_distrib a b c := inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.prodSumDistrib α β γ
right_distrib a b c := inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.sumProdDistrib α β γ
nsmul := nsmulRec
npow n c := c ^ (n : Cardinal)
npow_zero := @power_zero
npow_succ n c := show c ^ (↑(n + 1) : Cardinal) = c ^ (↑n : Cardinal) * c
by rw [Cardinal.cast_succ, power_add, power_one, mul_comm']
natCast := (fun n => lift.{u} #(Fin n) : ℕ → Cardinal.{u})
natCast_zero := rfl
natCast_succ := Cardinal.cast_succ
/-! Porting note (#11229): Deprecated section. Remove. -/
section deprecated
set_option linter.deprecated false
@[deprecated (since := "2023-02-11")]
theorem power_bit0 (a b : Cardinal) : a ^ bit0 b = a ^ b * a ^ b :=
power_add
#align cardinal.power_bit0 Cardinal.power_bit0
@[deprecated (since := "2023-02-11")]
theorem power_bit1 (a b : Cardinal) : a ^ bit1 b = a ^ b * a ^ b * a := by
rw [bit1, ← power_bit0, power_add, power_one]
#align cardinal.power_bit1 Cardinal.power_bit1
end deprecated
@[simp]
theorem one_power {a : Cardinal} : (1 : Cardinal) ^ a = 1 :=
inductionOn a fun _ => mk_eq_one _
#align cardinal.one_power Cardinal.one_power
-- porting note (#10618): simp can prove this
-- @[simp]
theorem mk_bool : #Bool = 2 := by simp
#align cardinal.mk_bool Cardinal.mk_bool
-- porting note (#10618): simp can prove this
-- @[simp]
theorem mk_Prop : #Prop = 2 := by simp
#align cardinal.mk_Prop Cardinal.mk_Prop
@[simp]
theorem zero_power {a : Cardinal} : a ≠ 0 → (0 : Cardinal) ^ a = 0 :=
inductionOn a fun _ heq =>
mk_eq_zero_iff.2 <|
isEmpty_pi.2 <|
let ⟨a⟩ := mk_ne_zero_iff.1 heq
⟨a, inferInstance⟩
#align cardinal.zero_power Cardinal.zero_power
theorem power_ne_zero {a : Cardinal} (b : Cardinal) : a ≠ 0 → a ^ b ≠ 0 :=
inductionOn₂ a b fun _ _ h =>
let ⟨a⟩ := mk_ne_zero_iff.1 h
mk_ne_zero_iff.2 ⟨fun _ => a⟩
#align cardinal.power_ne_zero Cardinal.power_ne_zero
theorem mul_power {a b c : Cardinal} : (a * b) ^ c = a ^ c * b ^ c :=
inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.arrowProdEquivProdArrow α β γ
#align cardinal.mul_power Cardinal.mul_power
theorem power_mul {a b c : Cardinal} : a ^ (b * c) = (a ^ b) ^ c := by
rw [mul_comm b c]
exact inductionOn₃ a b c fun α β γ => mk_congr <| Equiv.curry γ β α
#align cardinal.power_mul Cardinal.power_mul
@[simp]
theorem pow_cast_right (a : Cardinal.{u}) (n : ℕ) : a ^ (↑n : Cardinal.{u}) = a ^ n :=
rfl
#align cardinal.pow_cast_right Cardinal.pow_cast_right
@[simp]
theorem lift_one : lift 1 = 1 := mk_eq_one _
#align cardinal.lift_one Cardinal.lift_one
@[simp]
theorem lift_eq_one {a : Cardinal.{v}} : lift.{u} a = 1 ↔ a = 1 :=
lift_injective.eq_iff' lift_one
@[simp]
theorem lift_add (a b : Cardinal.{u}) : lift.{v} (a + b) = lift.{v} a + lift.{v} b :=
inductionOn₂ a b fun _ _ =>
mk_congr <| Equiv.ulift.trans (Equiv.sumCongr Equiv.ulift Equiv.ulift).symm
#align cardinal.lift_add Cardinal.lift_add
@[simp]
theorem lift_mul (a b : Cardinal.{u}) : lift.{v} (a * b) = lift.{v} a * lift.{v} b :=
inductionOn₂ a b fun _ _ =>
mk_congr <| Equiv.ulift.trans (Equiv.prodCongr Equiv.ulift Equiv.ulift).symm
#align cardinal.lift_mul Cardinal.lift_mul
/-! Porting note (#11229): Deprecated section. Remove. -/
section deprecated
set_option linter.deprecated false
@[simp, deprecated (since := "2023-02-11")]
theorem lift_bit0 (a : Cardinal) : lift.{v} (bit0 a) = bit0 (lift.{v} a) :=
lift_add a a
#align cardinal.lift_bit0 Cardinal.lift_bit0
@[simp, deprecated (since := "2023-02-11")]
theorem lift_bit1 (a : Cardinal) : lift.{v} (bit1 a) = bit1 (lift.{v} a) := by simp [bit1]
#align cardinal.lift_bit1 Cardinal.lift_bit1
end deprecated
-- Porting note: Proof used to be simp, needed to remind simp that 1 + 1 = 2
theorem lift_two : lift.{u, v} 2 = 2 := by simp [← one_add_one_eq_two]
#align cardinal.lift_two Cardinal.lift_two
@[simp]
theorem mk_set {α : Type u} : #(Set α) = 2 ^ #α := by simp [← one_add_one_eq_two, Set, mk_arrow]
#align cardinal.mk_set Cardinal.mk_set
/-- A variant of `Cardinal.mk_set` expressed in terms of a `Set` instead of a `Type`. -/
@[simp]
theorem mk_powerset {α : Type u} (s : Set α) : #(↥(𝒫 s)) = 2 ^ #(↥s) :=
(mk_congr (Equiv.Set.powerset s)).trans mk_set
#align cardinal.mk_powerset Cardinal.mk_powerset
theorem lift_two_power (a : Cardinal) : lift.{v} (2 ^ a) = 2 ^ lift.{v} a := by
simp [← one_add_one_eq_two]
#align cardinal.lift_two_power Cardinal.lift_two_power
section OrderProperties
open Sum
protected theorem zero_le : ∀ a : Cardinal, 0 ≤ a := by
rintro ⟨α⟩
exact ⟨Embedding.ofIsEmpty⟩
#align cardinal.zero_le Cardinal.zero_le
private theorem add_le_add' : ∀ {a b c d : Cardinal}, a ≤ b → c ≤ d → a + c ≤ b + d := by
rintro ⟨α⟩ ⟨β⟩ ⟨γ⟩ ⟨δ⟩ ⟨e₁⟩ ⟨e₂⟩; exact ⟨e₁.sumMap e₂⟩
-- #align cardinal.add_le_add' Cardinal.add_le_add'
instance add_covariantClass : CovariantClass Cardinal Cardinal (· + ·) (· ≤ ·) :=
⟨fun _ _ _ => add_le_add' le_rfl⟩
#align cardinal.add_covariant_class Cardinal.add_covariantClass
instance add_swap_covariantClass : CovariantClass Cardinal Cardinal (swap (· + ·)) (· ≤ ·) :=
⟨fun _ _ _ h => add_le_add' h le_rfl⟩
#align cardinal.add_swap_covariant_class Cardinal.add_swap_covariantClass
instance canonicallyOrderedCommSemiring : CanonicallyOrderedCommSemiring Cardinal.{u} :=
{ Cardinal.commSemiring,
Cardinal.partialOrder with
bot := 0
bot_le := Cardinal.zero_le
add_le_add_left := fun a b => add_le_add_left
exists_add_of_le := fun {a b} =>
inductionOn₂ a b fun α β ⟨⟨f, hf⟩⟩ =>
have : Sum α ((range f)ᶜ : Set β) ≃ β :=
(Equiv.sumCongr (Equiv.ofInjective f hf) (Equiv.refl _)).trans <|
Equiv.Set.sumCompl (range f)
⟨#(↥(range f)ᶜ), mk_congr this.symm⟩
le_self_add := fun a b => (add_zero a).ge.trans <| add_le_add_left (Cardinal.zero_le _) _
eq_zero_or_eq_zero_of_mul_eq_zero := fun {a b} =>
inductionOn₂ a b fun α β => by
simpa only [mul_def, mk_eq_zero_iff, isEmpty_prod] using id }
instance : CanonicallyLinearOrderedAddCommMonoid Cardinal.{u} :=
{ Cardinal.canonicallyOrderedCommSemiring, Cardinal.linearOrder with }
-- Computable instance to prevent a non-computable one being found via the one above
instance : CanonicallyOrderedAddCommMonoid Cardinal.{u} :=
{ Cardinal.canonicallyOrderedCommSemiring with }
instance : LinearOrderedCommMonoidWithZero Cardinal.{u} :=
{ Cardinal.commSemiring,
Cardinal.linearOrder with
mul_le_mul_left := @mul_le_mul_left' _ _ _ _
zero_le_one := zero_le _ }
-- Computable instance to prevent a non-computable one being found via the one above
instance : CommMonoidWithZero Cardinal.{u} :=
{ Cardinal.canonicallyOrderedCommSemiring with }
-- Porting note: new
-- Computable instance to prevent a non-computable one being found via the one above
instance : CommMonoid Cardinal.{u} :=
{ Cardinal.canonicallyOrderedCommSemiring with }
theorem zero_power_le (c : Cardinal.{u}) : (0 : Cardinal.{u}) ^ c ≤ 1 := by
by_cases h : c = 0
· rw [h, power_zero]
· rw [zero_power h]
apply zero_le
#align cardinal.zero_power_le Cardinal.zero_power_le
theorem power_le_power_left : ∀ {a b c : Cardinal}, a ≠ 0 → b ≤ c → a ^ b ≤ a ^ c := by
rintro ⟨α⟩ ⟨β⟩ ⟨γ⟩ hα ⟨e⟩
let ⟨a⟩ := mk_ne_zero_iff.1 hα
exact ⟨@Function.Embedding.arrowCongrLeft _ _ _ ⟨a⟩ e⟩
#align cardinal.power_le_power_left Cardinal.power_le_power_left
theorem self_le_power (a : Cardinal) {b : Cardinal} (hb : 1 ≤ b) : a ≤ a ^ b := by
rcases eq_or_ne a 0 with (rfl | ha)
· exact zero_le _
· convert power_le_power_left ha hb
exact power_one.symm
#align cardinal.self_le_power Cardinal.self_le_power
/-- **Cantor's theorem** -/
theorem cantor (a : Cardinal.{u}) : a < 2 ^ a := by
induction' a using Cardinal.inductionOn with α
rw [← mk_set]
refine ⟨⟨⟨singleton, fun a b => singleton_eq_singleton_iff.1⟩⟩, ?_⟩
rintro ⟨⟨f, hf⟩⟩
exact cantor_injective f hf
#align cardinal.cantor Cardinal.cantor
instance : NoMaxOrder Cardinal.{u} where exists_gt a := ⟨_, cantor a⟩
-- short-circuit type class inference
instance : DistribLattice Cardinal.{u} := inferInstance
theorem one_lt_iff_nontrivial {α : Type u} : 1 < #α ↔ Nontrivial α := by
rw [← not_le, le_one_iff_subsingleton, ← not_nontrivial_iff_subsingleton, Classical.not_not]
#align cardinal.one_lt_iff_nontrivial Cardinal.one_lt_iff_nontrivial
theorem power_le_max_power_one {a b c : Cardinal} (h : b ≤ c) : a ^ b ≤ max (a ^ c) 1 := by
by_cases ha : a = 0
· simp [ha, zero_power_le]
· exact (power_le_power_left ha h).trans (le_max_left _ _)
#align cardinal.power_le_max_power_one Cardinal.power_le_max_power_one
theorem power_le_power_right {a b c : Cardinal} : a ≤ b → a ^ c ≤ b ^ c :=
inductionOn₃ a b c fun _ _ _ ⟨e⟩ => ⟨Embedding.arrowCongrRight e⟩
#align cardinal.power_le_power_right Cardinal.power_le_power_right
theorem power_pos {a : Cardinal} (b : Cardinal) (ha : 0 < a) : 0 < a ^ b :=
(power_ne_zero _ ha.ne').bot_lt
#align cardinal.power_pos Cardinal.power_pos
end OrderProperties
protected theorem lt_wf : @WellFounded Cardinal.{u} (· < ·) :=
⟨fun a =>
by_contradiction fun h => by
let ι := { c : Cardinal // ¬Acc (· < ·) c }
let f : ι → Cardinal := Subtype.val
haveI hι : Nonempty ι := ⟨⟨_, h⟩⟩
obtain ⟨⟨c : Cardinal, hc : ¬Acc (· < ·) c⟩, ⟨h_1 : ∀ j, (f ⟨c, hc⟩).out ↪ (f j).out⟩⟩ :=
Embedding.min_injective fun i => (f i).out
refine hc (Acc.intro _ fun j h' => by_contradiction fun hj => h'.2 ?_)
have : #_ ≤ #_ := ⟨h_1 ⟨j, hj⟩⟩
simpa only [mk_out] using this⟩
#align cardinal.lt_wf Cardinal.lt_wf
instance : WellFoundedRelation Cardinal.{u} :=
⟨(· < ·), Cardinal.lt_wf⟩
-- Porting note: this no longer is automatically inferred.
instance : WellFoundedLT Cardinal.{u} :=
⟨Cardinal.lt_wf⟩
instance wo : @IsWellOrder Cardinal.{u} (· < ·) where
#align cardinal.wo Cardinal.wo
instance : ConditionallyCompleteLinearOrderBot Cardinal :=
IsWellOrder.conditionallyCompleteLinearOrderBot _
@[simp]
theorem sInf_empty : sInf (∅ : Set Cardinal.{u}) = 0 :=
dif_neg Set.not_nonempty_empty
#align cardinal.Inf_empty Cardinal.sInf_empty
lemma sInf_eq_zero_iff {s : Set Cardinal} : sInf s = 0 ↔ s = ∅ ∨ ∃ a ∈ s, a = 0 := by
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· rcases s.eq_empty_or_nonempty with rfl | hne
· exact Or.inl rfl
· exact Or.inr ⟨sInf s, csInf_mem hne, h⟩
· rcases h with rfl | ⟨a, ha, rfl⟩
· exact Cardinal.sInf_empty
· exact eq_bot_iff.2 (csInf_le' ha)
lemma iInf_eq_zero_iff {ι : Sort*} {f : ι → Cardinal} :
(⨅ i, f i) = 0 ↔ IsEmpty ι ∨ ∃ i, f i = 0 := by
simp [iInf, sInf_eq_zero_iff]
/-- Note that the successor of `c` is not the same as `c + 1` except in the case of finite `c`. -/
instance : SuccOrder Cardinal :=
SuccOrder.ofSuccLeIff (fun c => sInf { c' | c < c' })
-- Porting note: Needed to insert `by apply` in the next line
⟨by apply lt_of_lt_of_le <| csInf_mem <| exists_gt _,
-- Porting note used to be just `csInf_le'`
fun h ↦ csInf_le' h⟩
theorem succ_def (c : Cardinal) : succ c = sInf { c' | c < c' } :=
rfl
#align cardinal.succ_def Cardinal.succ_def
theorem succ_pos : ∀ c : Cardinal, 0 < succ c :=
bot_lt_succ
#align cardinal.succ_pos Cardinal.succ_pos
theorem succ_ne_zero (c : Cardinal) : succ c ≠ 0 :=
(succ_pos _).ne'
#align cardinal.succ_ne_zero Cardinal.succ_ne_zero
theorem add_one_le_succ (c : Cardinal.{u}) : c + 1 ≤ succ c := by
-- Porting note: rewrote the next three lines to avoid defeq abuse.
have : Set.Nonempty { c' | c < c' } := exists_gt c
simp_rw [succ_def, le_csInf_iff'' this, mem_setOf]
intro b hlt
rcases b, c with ⟨⟨β⟩, ⟨γ⟩⟩
cases' le_of_lt hlt with f
have : ¬Surjective f := fun hn => (not_le_of_lt hlt) (mk_le_of_surjective hn)
simp only [Surjective, not_forall] at this
rcases this with ⟨b, hb⟩
calc
#γ + 1 = #(Option γ) := mk_option.symm
_ ≤ #β := (f.optionElim b hb).cardinal_le
#align cardinal.add_one_le_succ Cardinal.add_one_le_succ
/-- A cardinal is a limit if it is not zero or a successor cardinal. Note that `ℵ₀` is a limit
cardinal by this definition, but `0` isn't.
Use `IsSuccLimit` if you want to include the `c = 0` case. -/
def IsLimit (c : Cardinal) : Prop :=
c ≠ 0 ∧ IsSuccLimit c
#align cardinal.is_limit Cardinal.IsLimit
protected theorem IsLimit.ne_zero {c} (h : IsLimit c) : c ≠ 0 :=
h.1
#align cardinal.is_limit.ne_zero Cardinal.IsLimit.ne_zero
protected theorem IsLimit.isSuccLimit {c} (h : IsLimit c) : IsSuccLimit c :=
h.2
#align cardinal.is_limit.is_succ_limit Cardinal.IsLimit.isSuccLimit
theorem IsLimit.succ_lt {x c} (h : IsLimit c) : x < c → succ x < c :=
h.isSuccLimit.succ_lt
#align cardinal.is_limit.succ_lt Cardinal.IsLimit.succ_lt
theorem isSuccLimit_zero : IsSuccLimit (0 : Cardinal) :=
isSuccLimit_bot
#align cardinal.is_succ_limit_zero Cardinal.isSuccLimit_zero
/-- The indexed sum of cardinals is the cardinality of the
indexed disjoint union, i.e. sigma type. -/
def sum {ι} (f : ι → Cardinal) : Cardinal :=
mk (Σi, (f i).out)
#align cardinal.sum Cardinal.sum
theorem le_sum {ι} (f : ι → Cardinal) (i) : f i ≤ sum f := by
rw [← Quotient.out_eq (f i)]
exact ⟨⟨fun a => ⟨i, a⟩, fun a b h => by injection h⟩⟩
#align cardinal.le_sum Cardinal.le_sum
@[simp]
theorem mk_sigma {ι} (f : ι → Type*) : #(Σ i, f i) = sum fun i => #(f i) :=
mk_congr <| Equiv.sigmaCongrRight fun _ => outMkEquiv.symm
#align cardinal.mk_sigma Cardinal.mk_sigma
@[simp]
theorem sum_const (ι : Type u) (a : Cardinal.{v}) :
(sum fun _ : ι => a) = lift.{v} #ι * lift.{u} a :=
inductionOn a fun α =>
mk_congr <|
calc
(Σ _ : ι, Quotient.out #α) ≃ ι × Quotient.out #α := Equiv.sigmaEquivProd _ _
_ ≃ ULift ι × ULift α := Equiv.ulift.symm.prodCongr (outMkEquiv.trans Equiv.ulift.symm)
#align cardinal.sum_const Cardinal.sum_const
theorem sum_const' (ι : Type u) (a : Cardinal.{u}) : (sum fun _ : ι => a) = #ι * a := by simp
#align cardinal.sum_const' Cardinal.sum_const'
@[simp]
theorem sum_add_distrib {ι} (f g : ι → Cardinal) : sum (f + g) = sum f + sum g := by
have := mk_congr (Equiv.sigmaSumDistrib (Quotient.out ∘ f) (Quotient.out ∘ g))
simp only [comp_apply, mk_sigma, mk_sum, mk_out, lift_id] at this
exact this
#align cardinal.sum_add_distrib Cardinal.sum_add_distrib
@[simp]
theorem sum_add_distrib' {ι} (f g : ι → Cardinal) :
(Cardinal.sum fun i => f i + g i) = sum f + sum g :=
sum_add_distrib f g
#align cardinal.sum_add_distrib' Cardinal.sum_add_distrib'
@[simp]
theorem lift_sum {ι : Type u} (f : ι → Cardinal.{v}) :
Cardinal.lift.{w} (Cardinal.sum f) = Cardinal.sum fun i => Cardinal.lift.{w} (f i) :=
Equiv.cardinal_eq <|
Equiv.ulift.trans <|
Equiv.sigmaCongrRight fun a =>
-- Porting note: Inserted universe hint .{_,_,v} below
Nonempty.some <| by rw [← lift_mk_eq.{_,_,v}, mk_out, mk_out, lift_lift]
#align cardinal.lift_sum Cardinal.lift_sum
theorem sum_le_sum {ι} (f g : ι → Cardinal) (H : ∀ i, f i ≤ g i) : sum f ≤ sum g :=
⟨(Embedding.refl _).sigmaMap fun i =>
Classical.choice <| by have := H i; rwa [← Quot.out_eq (f i), ← Quot.out_eq (g i)] at this⟩
#align cardinal.sum_le_sum Cardinal.sum_le_sum
theorem mk_le_mk_mul_of_mk_preimage_le {c : Cardinal} (f : α → β) (hf : ∀ b : β, #(f ⁻¹' {b}) ≤ c) :
#α ≤ #β * c := by
simpa only [← mk_congr (@Equiv.sigmaFiberEquiv α β f), mk_sigma, ← sum_const'] using
sum_le_sum _ _ hf
#align cardinal.mk_le_mk_mul_of_mk_preimage_le Cardinal.mk_le_mk_mul_of_mk_preimage_le
theorem lift_mk_le_lift_mk_mul_of_lift_mk_preimage_le {α : Type u} {β : Type v} {c : Cardinal}
(f : α → β) (hf : ∀ b : β, lift.{v} #(f ⁻¹' {b}) ≤ c) : lift.{v} #α ≤ lift.{u} #β * c :=
(mk_le_mk_mul_of_mk_preimage_le fun x : ULift.{v} α => ULift.up.{u} (f x.1)) <|
ULift.forall.2 fun b =>
(mk_congr <|
(Equiv.ulift.image _).trans
(Equiv.trans
(by
rw [Equiv.image_eq_preimage]
/- Porting note: Need to insert the following `have` b/c bad fun coercion
behaviour for Equivs -/
have : DFunLike.coe (Equiv.symm (Equiv.ulift (α := α))) = ULift.up (α := α) := rfl
rw [this]
simp only [preimage, mem_singleton_iff, ULift.up_inj, mem_setOf_eq, coe_setOf]
exact Equiv.refl _)
Equiv.ulift.symm)).trans_le
(hf b)
#align cardinal.lift_mk_le_lift_mk_mul_of_lift_mk_preimage_le Cardinal.lift_mk_le_lift_mk_mul_of_lift_mk_preimage_le
/-- The range of an indexed cardinal function, whose outputs live in a higher universe than the
inputs, is always bounded above. -/
theorem bddAbove_range {ι : Type u} (f : ι → Cardinal.{max u v}) : BddAbove (Set.range f) :=
⟨_, by
rintro a ⟨i, rfl⟩
-- Porting note: Added universe reference below
exact le_sum.{v,u} f i⟩
#align cardinal.bdd_above_range Cardinal.bddAbove_range
instance (a : Cardinal.{u}) : Small.{u} (Set.Iic a) := by
rw [← mk_out a]
apply @small_of_surjective (Set a.out) (Iic #a.out) _ fun x => ⟨#x, mk_set_le x⟩
rintro ⟨x, hx⟩
simpa using le_mk_iff_exists_set.1 hx
instance (a : Cardinal.{u}) : Small.{u} (Set.Iio a) :=
small_subset Iio_subset_Iic_self
/-- A set of cardinals is bounded above iff it's small, i.e. it corresponds to a usual ZFC set. -/
theorem bddAbove_iff_small {s : Set Cardinal.{u}} : BddAbove s ↔ Small.{u} s :=
⟨fun ⟨a, ha⟩ => @small_subset _ (Iic a) s (fun x h => ha h) _, by
rintro ⟨ι, ⟨e⟩⟩
suffices (range fun x : ι => (e.symm x).1) = s by
rw [← this]
apply bddAbove_range.{u, u}
ext x
refine ⟨?_, fun hx => ⟨e ⟨x, hx⟩, ?_⟩⟩
· rintro ⟨a, rfl⟩
exact (e.symm a).2
· simp_rw [Equiv.symm_apply_apply]⟩
#align cardinal.bdd_above_iff_small Cardinal.bddAbove_iff_small
theorem bddAbove_of_small (s : Set Cardinal.{u}) [h : Small.{u} s] : BddAbove s :=
bddAbove_iff_small.2 h
#align cardinal.bdd_above_of_small Cardinal.bddAbove_of_small
theorem bddAbove_image (f : Cardinal.{u} → Cardinal.{max u v}) {s : Set Cardinal.{u}}
(hs : BddAbove s) : BddAbove (f '' s) := by
rw [bddAbove_iff_small] at hs ⊢
-- Porting note: added universes below
exact small_lift.{_,v,_} _
#align cardinal.bdd_above_image Cardinal.bddAbove_image
theorem bddAbove_range_comp {ι : Type u} {f : ι → Cardinal.{v}} (hf : BddAbove (range f))
(g : Cardinal.{v} → Cardinal.{max v w}) : BddAbove (range (g ∘ f)) := by
rw [range_comp]
exact bddAbove_image.{v,w} g hf
#align cardinal.bdd_above_range_comp Cardinal.bddAbove_range_comp
theorem iSup_le_sum {ι} (f : ι → Cardinal) : iSup f ≤ sum f :=
ciSup_le' <| le_sum.{u_2,u_1} _
#align cardinal.supr_le_sum Cardinal.iSup_le_sum
-- Porting note: Added universe hint .{v,_} below
theorem sum_le_iSup_lift {ι : Type u}
(f : ι → Cardinal.{max u v}) : sum f ≤ Cardinal.lift.{v,_} #ι * iSup f := by
rw [← (iSup f).lift_id, ← lift_umax, lift_umax.{max u v, u}, ← sum_const]
exact sum_le_sum _ _ (le_ciSup <| bddAbove_range.{u, v} f)
#align cardinal.sum_le_supr_lift Cardinal.sum_le_iSup_lift
theorem sum_le_iSup {ι : Type u} (f : ι → Cardinal.{u}) : sum f ≤ #ι * iSup f := by
rw [← lift_id #ι]
exact sum_le_iSup_lift f
#align cardinal.sum_le_supr Cardinal.sum_le_iSup
theorem sum_nat_eq_add_sum_succ (f : ℕ → Cardinal.{u}) :
Cardinal.sum f = f 0 + Cardinal.sum fun i => f (i + 1) := by
refine (Equiv.sigmaNatSucc fun i => Quotient.out (f i)).cardinal_eq.trans ?_
simp only [mk_sum, mk_out, lift_id, mk_sigma]
#align cardinal.sum_nat_eq_add_sum_succ Cardinal.sum_nat_eq_add_sum_succ
-- Porting note: LFS is not in normal form.
-- @[simp]
/-- A variant of `ciSup_of_empty` but with `0` on the RHS for convenience -/
protected theorem iSup_of_empty {ι} (f : ι → Cardinal) [IsEmpty ι] : iSup f = 0 :=
ciSup_of_empty f
#align cardinal.supr_of_empty Cardinal.iSup_of_empty
lemma exists_eq_of_iSup_eq_of_not_isSuccLimit
{ι : Type u} (f : ι → Cardinal.{v}) (ω : Cardinal.{v})
(hω : ¬ Order.IsSuccLimit ω)
(h : ⨆ i : ι, f i = ω) : ∃ i, f i = ω := by
subst h
refine (isLUB_csSup' ?_).exists_of_not_isSuccLimit hω
contrapose! hω with hf
rw [iSup, csSup_of_not_bddAbove hf, csSup_empty]
exact Order.isSuccLimit_bot
lemma exists_eq_of_iSup_eq_of_not_isLimit
{ι : Type u} [hι : Nonempty ι] (f : ι → Cardinal.{v}) (hf : BddAbove (range f))
(ω : Cardinal.{v}) (hω : ¬ ω.IsLimit)
(h : ⨆ i : ι, f i = ω) : ∃ i, f i = ω := by
refine (not_and_or.mp hω).elim (fun e ↦ ⟨hι.some, ?_⟩)
(Cardinal.exists_eq_of_iSup_eq_of_not_isSuccLimit.{u, v} f ω · h)
cases not_not.mp e
rw [← le_zero_iff] at h ⊢
exact (le_ciSup hf _).trans h
-- Porting note: simpNF is not happy with universe levels.
@[simp, nolint simpNF]
theorem lift_mk_shrink (α : Type u) [Small.{v} α] :
Cardinal.lift.{max u w} #(Shrink.{v} α) = Cardinal.lift.{max v w} #α :=
-- Porting note: Added .{v,u,w} universe hint below
lift_mk_eq.{v,u,w}.2 ⟨(equivShrink α).symm⟩
#align cardinal.lift_mk_shrink Cardinal.lift_mk_shrink
@[simp]
theorem lift_mk_shrink' (α : Type u) [Small.{v} α] :
Cardinal.lift.{u} #(Shrink.{v} α) = Cardinal.lift.{v} #α :=
lift_mk_shrink.{u, v, 0} α
#align cardinal.lift_mk_shrink' Cardinal.lift_mk_shrink'
@[simp]
theorem lift_mk_shrink'' (α : Type max u v) [Small.{v} α] :
Cardinal.lift.{u} #(Shrink.{v} α) = #α := by
rw [← lift_umax', lift_mk_shrink.{max u v, v, 0} α, ← lift_umax, lift_id]
#align cardinal.lift_mk_shrink'' Cardinal.lift_mk_shrink''
/-- The indexed product of cardinals is the cardinality of the Pi type
(dependent product). -/
def prod {ι : Type u} (f : ι → Cardinal) : Cardinal :=
#(∀ i, (f i).out)
#align cardinal.prod Cardinal.prod
@[simp]
theorem mk_pi {ι : Type u} (α : ι → Type v) : #(∀ i, α i) = prod fun i => #(α i) :=
mk_congr <| Equiv.piCongrRight fun _ => outMkEquiv.symm
#align cardinal.mk_pi Cardinal.mk_pi
@[simp]
theorem prod_const (ι : Type u) (a : Cardinal.{v}) :
(prod fun _ : ι => a) = lift.{u} a ^ lift.{v} #ι :=
inductionOn a fun _ =>
mk_congr <| Equiv.piCongr Equiv.ulift.symm fun _ => outMkEquiv.trans Equiv.ulift.symm
#align cardinal.prod_const Cardinal.prod_const
theorem prod_const' (ι : Type u) (a : Cardinal.{u}) : (prod fun _ : ι => a) = a ^ #ι :=
inductionOn a fun _ => (mk_pi _).symm
#align cardinal.prod_const' Cardinal.prod_const'
theorem prod_le_prod {ι} (f g : ι → Cardinal) (H : ∀ i, f i ≤ g i) : prod f ≤ prod g :=
⟨Embedding.piCongrRight fun i =>
Classical.choice <| by have := H i; rwa [← mk_out (f i), ← mk_out (g i)] at this⟩
#align cardinal.prod_le_prod Cardinal.prod_le_prod
@[simp]
theorem prod_eq_zero {ι} (f : ι → Cardinal.{u}) : prod f = 0 ↔ ∃ i, f i = 0 := by
lift f to ι → Type u using fun _ => trivial
simp only [mk_eq_zero_iff, ← mk_pi, isEmpty_pi]
#align cardinal.prod_eq_zero Cardinal.prod_eq_zero
theorem prod_ne_zero {ι} (f : ι → Cardinal) : prod f ≠ 0 ↔ ∀ i, f i ≠ 0 := by simp [prod_eq_zero]
#align cardinal.prod_ne_zero Cardinal.prod_ne_zero
@[simp]
theorem lift_prod {ι : Type u} (c : ι → Cardinal.{v}) :
lift.{w} (prod c) = prod fun i => lift.{w} (c i) := by
lift c to ι → Type v using fun _ => trivial
simp only [← mk_pi, ← mk_uLift]
exact mk_congr (Equiv.ulift.trans <| Equiv.piCongrRight fun i => Equiv.ulift.symm)
#align cardinal.lift_prod Cardinal.lift_prod
theorem prod_eq_of_fintype {α : Type u} [h : Fintype α] (f : α → Cardinal.{v}) :
prod f = Cardinal.lift.{u} (∏ i, f i) := by
revert f
refine Fintype.induction_empty_option ?_ ?_ ?_ α (h_fintype := h)
· intro α β hβ e h f
letI := Fintype.ofEquiv β e.symm
rw [← e.prod_comp f, ← h]
exact mk_congr (e.piCongrLeft _).symm
· intro f
rw [Fintype.univ_pempty, Finset.prod_empty, lift_one, Cardinal.prod, mk_eq_one]
· intro α hα h f
rw [Cardinal.prod, mk_congr Equiv.piOptionEquivProd, mk_prod, lift_umax'.{v, u}, mk_out, ←
Cardinal.prod, lift_prod, Fintype.prod_option, lift_mul, ← h fun a => f (some a)]
simp only [lift_id]
#align cardinal.prod_eq_of_fintype Cardinal.prod_eq_of_fintype
-- Porting note: Inserted .{u,v} below
@[simp]
theorem lift_sInf (s : Set Cardinal) : lift.{u,v} (sInf s) = sInf (lift.{u,v} '' s) := by
rcases eq_empty_or_nonempty s with (rfl | hs)
· simp
· exact lift_monotone.map_csInf hs
#align cardinal.lift_Inf Cardinal.lift_sInf
-- Porting note: Inserted .{u,v} below
@[simp]
theorem lift_iInf {ι} (f : ι → Cardinal) : lift.{u,v} (iInf f) = ⨅ i, lift.{u,v} (f i) := by
unfold iInf
convert lift_sInf (range f)
simp_rw [← comp_apply (f := lift), range_comp]
#align cardinal.lift_infi Cardinal.lift_iInf
theorem lift_down {a : Cardinal.{u}} {b : Cardinal.{max u v}} :
b ≤ lift.{v,u} a → ∃ a', lift.{v,u} a' = b :=
inductionOn₂ a b fun α β => by
rw [← lift_id #β, ← lift_umax, ← lift_umax.{u, v}, lift_mk_le.{v}]
exact fun ⟨f⟩ =>
⟨#(Set.range f),
Eq.symm <| lift_mk_eq.{_, _, v}.2
⟨Function.Embedding.equivOfSurjective (Embedding.codRestrict _ f Set.mem_range_self)
fun ⟨a, ⟨b, e⟩⟩ => ⟨b, Subtype.eq e⟩⟩⟩
#align cardinal.lift_down Cardinal.lift_down
-- Porting note: Inserted .{u,v} below
theorem le_lift_iff {a : Cardinal.{u}} {b : Cardinal.{max u v}} :
b ≤ lift.{v,u} a ↔ ∃ a', lift.{v,u} a' = b ∧ a' ≤ a :=
⟨fun h =>
let ⟨a', e⟩ := lift_down h
⟨a', e, lift_le.1 <| e.symm ▸ h⟩,
fun ⟨_, e, h⟩ => e ▸ lift_le.2 h⟩
#align cardinal.le_lift_iff Cardinal.le_lift_iff
-- Porting note: Inserted .{u,v} below
theorem lt_lift_iff {a : Cardinal.{u}} {b : Cardinal.{max u v}} :
b < lift.{v,u} a ↔ ∃ a', lift.{v,u} a' = b ∧ a' < a :=
⟨fun h =>
let ⟨a', e⟩ := lift_down h.le
⟨a', e, lift_lt.1 <| e.symm ▸ h⟩,
fun ⟨_, e, h⟩ => e ▸ lift_lt.2 h⟩
#align cardinal.lt_lift_iff Cardinal.lt_lift_iff
-- Porting note: Inserted .{u,v} below
@[simp]
theorem lift_succ (a) : lift.{v,u} (succ a) = succ (lift.{v,u} a) :=
le_antisymm
(le_of_not_gt fun h => by
rcases lt_lift_iff.1 h with ⟨b, e, h⟩
rw [lt_succ_iff, ← lift_le, e] at h
exact h.not_lt (lt_succ _))
(succ_le_of_lt <| lift_lt.2 <| lt_succ a)
#align cardinal.lift_succ Cardinal.lift_succ
-- Porting note: simpNF is not happy with universe levels.
-- Porting note: Inserted .{u,v} below
@[simp, nolint simpNF]
theorem lift_umax_eq {a : Cardinal.{u}} {b : Cardinal.{v}} :
lift.{max v w} a = lift.{max u w} b ↔ lift.{v} a = lift.{u} b := by
rw [← lift_lift.{v, w, u}, ← lift_lift.{u, w, v}, lift_inj]
#align cardinal.lift_umax_eq Cardinal.lift_umax_eq
-- Porting note: Inserted .{u,v} below
@[simp]
theorem lift_min {a b : Cardinal} : lift.{u,v} (min a b) = min (lift.{u,v} a) (lift.{u,v} b) :=
lift_monotone.map_min
#align cardinal.lift_min Cardinal.lift_min
-- Porting note: Inserted .{u,v} below
@[simp]
theorem lift_max {a b : Cardinal} : lift.{u,v} (max a b) = max (lift.{u,v} a) (lift.{u,v} b) :=
lift_monotone.map_max
#align cardinal.lift_max Cardinal.lift_max
/-- The lift of a supremum is the supremum of the lifts. -/
theorem lift_sSup {s : Set Cardinal} (hs : BddAbove s) :
lift.{u} (sSup s) = sSup (lift.{u} '' s) := by
apply ((le_csSup_iff' (bddAbove_image.{_,u} _ hs)).2 fun c hc => _).antisymm (csSup_le' _)
· intro c hc
by_contra h
obtain ⟨d, rfl⟩ := Cardinal.lift_down (not_le.1 h).le
simp_rw [lift_le] at h hc
rw [csSup_le_iff' hs] at h
exact h fun a ha => lift_le.1 <| hc (mem_image_of_mem _ ha)
· rintro i ⟨j, hj, rfl⟩
exact lift_le.2 (le_csSup hs hj)
#align cardinal.lift_Sup Cardinal.lift_sSup
/-- The lift of a supremum is the supremum of the lifts. -/
theorem lift_iSup {ι : Type v} {f : ι → Cardinal.{w}} (hf : BddAbove (range f)) :
lift.{u} (iSup f) = ⨆ i, lift.{u} (f i) := by
rw [iSup, iSup, lift_sSup hf, ← range_comp]
simp [Function.comp]
#align cardinal.lift_supr Cardinal.lift_iSup
/-- To prove that the lift of a supremum is bounded by some cardinal `t`,
it suffices to show that the lift of each cardinal is bounded by `t`. -/
theorem lift_iSup_le {ι : Type v} {f : ι → Cardinal.{w}} {t : Cardinal} (hf : BddAbove (range f))
(w : ∀ i, lift.{u} (f i) ≤ t) : lift.{u} (iSup f) ≤ t := by
rw [lift_iSup hf]
exact ciSup_le' w
#align cardinal.lift_supr_le Cardinal.lift_iSup_le
@[simp]
theorem lift_iSup_le_iff {ι : Type v} {f : ι → Cardinal.{w}} (hf : BddAbove (range f))
{t : Cardinal} : lift.{u} (iSup f) ≤ t ↔ ∀ i, lift.{u} (f i) ≤ t := by
rw [lift_iSup hf]
exact ciSup_le_iff' (bddAbove_range_comp.{_,_,u} hf _)
#align cardinal.lift_supr_le_iff Cardinal.lift_iSup_le_iff
universe v' w'
/-- To prove an inequality between the lifts to a common universe of two different supremums,
it suffices to show that the lift of each cardinal from the smaller supremum
if bounded by the lift of some cardinal from the larger supremum.
-/
theorem lift_iSup_le_lift_iSup {ι : Type v} {ι' : Type v'} {f : ι → Cardinal.{w}}
{f' : ι' → Cardinal.{w'}} (hf : BddAbove (range f)) (hf' : BddAbove (range f')) {g : ι → ι'}
(h : ∀ i, lift.{w'} (f i) ≤ lift.{w} (f' (g i))) : lift.{w'} (iSup f) ≤ lift.{w} (iSup f') := by
rw [lift_iSup hf, lift_iSup hf']
exact ciSup_mono' (bddAbove_range_comp.{_,_,w} hf' _) fun i => ⟨_, h i⟩
#align cardinal.lift_supr_le_lift_supr Cardinal.lift_iSup_le_lift_iSup
/-- A variant of `lift_iSup_le_lift_iSup` with universes specialized via `w = v` and `w' = v'`.
This is sometimes necessary to avoid universe unification issues. -/
theorem lift_iSup_le_lift_iSup' {ι : Type v} {ι' : Type v'} {f : ι → Cardinal.{v}}
{f' : ι' → Cardinal.{v'}} (hf : BddAbove (range f)) (hf' : BddAbove (range f')) (g : ι → ι')
(h : ∀ i, lift.{v'} (f i) ≤ lift.{v} (f' (g i))) : lift.{v'} (iSup f) ≤ lift.{v} (iSup f') :=
lift_iSup_le_lift_iSup hf hf' h
#align cardinal.lift_supr_le_lift_supr' Cardinal.lift_iSup_le_lift_iSup'
/-- `ℵ₀` is the smallest infinite cardinal. -/
def aleph0 : Cardinal.{u} :=
lift #ℕ
#align cardinal.aleph_0 Cardinal.aleph0
@[inherit_doc]
scoped notation "ℵ₀" => Cardinal.aleph0
theorem mk_nat : #ℕ = ℵ₀ :=
(lift_id _).symm
#align cardinal.mk_nat Cardinal.mk_nat
theorem aleph0_ne_zero : ℵ₀ ≠ 0 :=
mk_ne_zero _
#align cardinal.aleph_0_ne_zero Cardinal.aleph0_ne_zero
theorem aleph0_pos : 0 < ℵ₀ :=
pos_iff_ne_zero.2 aleph0_ne_zero
#align cardinal.aleph_0_pos Cardinal.aleph0_pos
@[simp]
theorem lift_aleph0 : lift ℵ₀ = ℵ₀ :=
lift_lift _
#align cardinal.lift_aleph_0 Cardinal.lift_aleph0
@[simp]
theorem aleph0_le_lift {c : Cardinal.{u}} : ℵ₀ ≤ lift.{v} c ↔ ℵ₀ ≤ c := by
rw [← lift_aleph0.{u,v}, lift_le]
#align cardinal.aleph_0_le_lift Cardinal.aleph0_le_lift
@[simp]
theorem lift_le_aleph0 {c : Cardinal.{u}} : lift.{v} c ≤ ℵ₀ ↔ c ≤ ℵ₀ := by
rw [← lift_aleph0.{u,v}, lift_le]
#align cardinal.lift_le_aleph_0 Cardinal.lift_le_aleph0
@[simp]
theorem aleph0_lt_lift {c : Cardinal.{u}} : ℵ₀ < lift.{v} c ↔ ℵ₀ < c := by
rw [← lift_aleph0.{u,v}, lift_lt]
#align cardinal.aleph_0_lt_lift Cardinal.aleph0_lt_lift
@[simp]
theorem lift_lt_aleph0 {c : Cardinal.{u}} : lift.{v} c < ℵ₀ ↔ c < ℵ₀ := by
rw [← lift_aleph0.{u,v}, lift_lt]
#align cardinal.lift_lt_aleph_0 Cardinal.lift_lt_aleph0
/-! ### Properties about the cast from `ℕ` -/
section castFromN
-- porting note (#10618): simp can prove this
-- @[simp]
theorem mk_fin (n : ℕ) : #(Fin n) = n := by simp
#align cardinal.mk_fin Cardinal.mk_fin
@[simp]
theorem lift_natCast (n : ℕ) : lift.{u} (n : Cardinal.{v}) = n := by induction n <;> simp [*]
#align cardinal.lift_nat_cast Cardinal.lift_natCast
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem lift_ofNat (n : ℕ) [n.AtLeastTwo] :
lift.{u} (no_index (OfNat.ofNat n : Cardinal.{v})) = OfNat.ofNat n :=
lift_natCast n
@[simp]
theorem lift_eq_nat_iff {a : Cardinal.{u}} {n : ℕ} : lift.{v} a = n ↔ a = n :=
lift_injective.eq_iff' (lift_natCast n)
#align cardinal.lift_eq_nat_iff Cardinal.lift_eq_nat_iff
@[simp]
theorem lift_eq_ofNat_iff {a : Cardinal.{u}} {n : ℕ} [n.AtLeastTwo] :
lift.{v} a = (no_index (OfNat.ofNat n)) ↔ a = OfNat.ofNat n :=
lift_eq_nat_iff
@[simp]
theorem nat_eq_lift_iff {n : ℕ} {a : Cardinal.{u}} :
(n : Cardinal) = lift.{v} a ↔ (n : Cardinal) = a := by
rw [← lift_natCast.{v,u} n, lift_inj]
#align cardinal.nat_eq_lift_iff Cardinal.nat_eq_lift_iff
@[simp]
theorem zero_eq_lift_iff {a : Cardinal.{u}} :
(0 : Cardinal) = lift.{v} a ↔ 0 = a := by
simpa using nat_eq_lift_iff (n := 0)
@[simp]
theorem one_eq_lift_iff {a : Cardinal.{u}} :
(1 : Cardinal) = lift.{v} a ↔ 1 = a := by
simpa using nat_eq_lift_iff (n := 1)
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem ofNat_eq_lift_iff {a : Cardinal.{u}} {n : ℕ} [n.AtLeastTwo] :
(no_index (OfNat.ofNat n : Cardinal)) = lift.{v} a ↔ (OfNat.ofNat n : Cardinal) = a :=
nat_eq_lift_iff
@[simp]
theorem lift_le_nat_iff {a : Cardinal.{u}} {n : ℕ} : lift.{v} a ≤ n ↔ a ≤ n := by
rw [← lift_natCast.{v,u}, lift_le]
#align cardinal.lift_le_nat_iff Cardinal.lift_le_nat_iff
@[simp]
theorem lift_le_one_iff {a : Cardinal.{u}} :
lift.{v} a ≤ 1 ↔ a ≤ 1 := by
simpa using lift_le_nat_iff (n := 1)
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem lift_le_ofNat_iff {a : Cardinal.{u}} {n : ℕ} [n.AtLeastTwo] :
lift.{v} a ≤ (no_index (OfNat.ofNat n)) ↔ a ≤ OfNat.ofNat n :=
lift_le_nat_iff
@[simp]
theorem nat_le_lift_iff {n : ℕ} {a : Cardinal.{u}} : n ≤ lift.{v} a ↔ n ≤ a := by
rw [← lift_natCast.{v,u}, lift_le]
#align cardinal.nat_le_lift_iff Cardinal.nat_le_lift_iff
@[simp]
theorem one_le_lift_iff {a : Cardinal.{u}} :
(1 : Cardinal) ≤ lift.{v} a ↔ 1 ≤ a := by
simpa using nat_le_lift_iff (n := 1)
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem ofNat_le_lift_iff {a : Cardinal.{u}} {n : ℕ} [n.AtLeastTwo] :
(no_index (OfNat.ofNat n : Cardinal)) ≤ lift.{v} a ↔ (OfNat.ofNat n : Cardinal) ≤ a :=
nat_le_lift_iff
@[simp]
theorem lift_lt_nat_iff {a : Cardinal.{u}} {n : ℕ} : lift.{v} a < n ↔ a < n := by
rw [← lift_natCast.{v,u}, lift_lt]
#align cardinal.lift_lt_nat_iff Cardinal.lift_lt_nat_iff
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem lift_lt_ofNat_iff {a : Cardinal.{u}} {n : ℕ} [n.AtLeastTwo] :
lift.{v} a < (no_index (OfNat.ofNat n)) ↔ a < OfNat.ofNat n :=
lift_lt_nat_iff
@[simp]
theorem nat_lt_lift_iff {n : ℕ} {a : Cardinal.{u}} : n < lift.{v} a ↔ n < a := by
rw [← lift_natCast.{v,u}, lift_lt]
#align cardinal.nat_lt_lift_iff Cardinal.nat_lt_lift_iff
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem zero_lt_lift_iff {a : Cardinal.{u}} :
(0 : Cardinal) < lift.{v} a ↔ 0 < a := by
simpa using nat_lt_lift_iff (n := 0)
@[simp]
theorem one_lt_lift_iff {a : Cardinal.{u}} :
(1 : Cardinal) < lift.{v} a ↔ 1 < a := by
simpa using nat_lt_lift_iff (n := 1)
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem ofNat_lt_lift_iff {a : Cardinal.{u}} {n : ℕ} [n.AtLeastTwo] :
(no_index (OfNat.ofNat n : Cardinal)) < lift.{v} a ↔ (OfNat.ofNat n : Cardinal) < a :=
nat_lt_lift_iff
theorem lift_mk_fin (n : ℕ) : lift #(Fin n) = n := rfl
#align cardinal.lift_mk_fin Cardinal.lift_mk_fin
theorem mk_coe_finset {α : Type u} {s : Finset α} : #s = ↑(Finset.card s) := by simp
#align cardinal.mk_coe_finset Cardinal.mk_coe_finset
theorem mk_finset_of_fintype [Fintype α] : #(Finset α) = 2 ^ Fintype.card α := by
simp [Pow.pow]
#align cardinal.mk_finset_of_fintype Cardinal.mk_finset_of_fintype
@[simp]
theorem mk_finsupp_lift_of_fintype (α : Type u) (β : Type v) [Fintype α] [Zero β] :
#(α →₀ β) = lift.{u} #β ^ Fintype.card α := by
simpa using (@Finsupp.equivFunOnFinite α β _ _).cardinal_eq
#align cardinal.mk_finsupp_lift_of_fintype Cardinal.mk_finsupp_lift_of_fintype
theorem mk_finsupp_of_fintype (α β : Type u) [Fintype α] [Zero β] :
#(α →₀ β) = #β ^ Fintype.card α := by simp
#align cardinal.mk_finsupp_of_fintype Cardinal.mk_finsupp_of_fintype
theorem card_le_of_finset {α} (s : Finset α) : (s.card : Cardinal) ≤ #α :=
@mk_coe_finset _ s ▸ mk_set_le _
#align cardinal.card_le_of_finset Cardinal.card_le_of_finset
-- Porting note: was `simp`. LHS is not normal form.
-- @[simp, norm_cast]
@[norm_cast]
theorem natCast_pow {m n : ℕ} : (↑(m ^ n) : Cardinal) = (↑m : Cardinal) ^ (↑n : Cardinal) := by
induction n <;> simp [pow_succ, power_add, *, Pow.pow]
#align cardinal.nat_cast_pow Cardinal.natCast_pow
-- porting note (#10618): simp can prove this
-- @[simp, norm_cast]
@[norm_cast]
theorem natCast_le {m n : ℕ} : (m : Cardinal) ≤ n ↔ m ≤ n := by
rw [← lift_mk_fin, ← lift_mk_fin, lift_le, le_def, Function.Embedding.nonempty_iff_card_le,
Fintype.card_fin, Fintype.card_fin]
#align cardinal.nat_cast_le Cardinal.natCast_le
-- porting note (#10618): simp can prove this
-- @[simp, norm_cast]
@[norm_cast]
theorem natCast_lt {m n : ℕ} : (m : Cardinal) < n ↔ m < n := by
rw [lt_iff_le_not_le, ← not_le]
simp only [natCast_le, not_le, and_iff_right_iff_imp]
exact fun h ↦ le_of_lt h
#align cardinal.nat_cast_lt Cardinal.natCast_lt
instance : CharZero Cardinal :=
⟨StrictMono.injective fun _ _ => natCast_lt.2⟩
theorem natCast_inj {m n : ℕ} : (m : Cardinal) = n ↔ m = n :=
Nat.cast_inj
#align cardinal.nat_cast_inj Cardinal.natCast_inj
theorem natCast_injective : Injective ((↑) : ℕ → Cardinal) :=
Nat.cast_injective
#align cardinal.nat_cast_injective Cardinal.natCast_injective
@[norm_cast]
theorem nat_succ (n : ℕ) : (n.succ : Cardinal) = succ ↑n := by
rw [Nat.cast_succ]
refine (add_one_le_succ _).antisymm (succ_le_of_lt ?_)
rw [← Nat.cast_succ]
exact natCast_lt.2 (Nat.lt_succ_self _)
lemma succ_natCast (n : ℕ) : Order.succ (n : Cardinal) = n + 1 := by
rw [← Cardinal.nat_succ]
norm_cast
lemma natCast_add_one_le_iff {n : ℕ} {c : Cardinal} : n + 1 ≤ c ↔ n < c := by
rw [← Order.succ_le_iff, Cardinal.succ_natCast]
lemma two_le_iff_one_lt {c : Cardinal} : 2 ≤ c ↔ 1 < c := by
convert natCast_add_one_le_iff
norm_cast
@[simp]
theorem succ_zero : succ (0 : Cardinal) = 1 := by norm_cast
#align cardinal.succ_zero Cardinal.succ_zero
theorem exists_finset_le_card (α : Type*) (n : ℕ) (h : n ≤ #α) :
∃ s : Finset α, n ≤ s.card := by
obtain hα|hα := finite_or_infinite α
· let hα := Fintype.ofFinite α
use Finset.univ
simpa only [mk_fintype, Nat.cast_le] using h
· obtain ⟨s, hs⟩ := Infinite.exists_subset_card_eq α n
exact ⟨s, hs.ge⟩
theorem card_le_of {α : Type u} {n : ℕ} (H : ∀ s : Finset α, s.card ≤ n) : #α ≤ n := by
contrapose! H
apply exists_finset_le_card α (n+1)
simpa only [nat_succ, succ_le_iff] using H
#align cardinal.card_le_of Cardinal.card_le_of
theorem cantor' (a) {b : Cardinal} (hb : 1 < b) : a < b ^ a := by
rw [← succ_le_iff, (by norm_cast : succ (1 : Cardinal) = 2)] at hb
exact (cantor a).trans_le (power_le_power_right hb)
#align cardinal.cantor' Cardinal.cantor'
theorem one_le_iff_pos {c : Cardinal} : 1 ≤ c ↔ 0 < c := by
rw [← succ_zero, succ_le_iff]
#align cardinal.one_le_iff_pos Cardinal.one_le_iff_pos
theorem one_le_iff_ne_zero {c : Cardinal} : 1 ≤ c ↔ c ≠ 0 := by
rw [one_le_iff_pos, pos_iff_ne_zero]
#align cardinal.one_le_iff_ne_zero Cardinal.one_le_iff_ne_zero
@[simp]
theorem lt_one_iff_zero {c : Cardinal} : c < 1 ↔ c = 0 := by
simpa using lt_succ_bot_iff (a := c)
theorem nat_lt_aleph0 (n : ℕ) : (n : Cardinal.{u}) < ℵ₀ :=
succ_le_iff.1
(by
rw [← nat_succ, ← lift_mk_fin, aleph0, lift_mk_le.{u}]
exact ⟨⟨(↑), fun a b => Fin.ext⟩⟩)
#align cardinal.nat_lt_aleph_0 Cardinal.nat_lt_aleph0
@[simp]
theorem one_lt_aleph0 : 1 < ℵ₀ := by simpa using nat_lt_aleph0 1
#align cardinal.one_lt_aleph_0 Cardinal.one_lt_aleph0
theorem one_le_aleph0 : 1 ≤ ℵ₀ :=
one_lt_aleph0.le
#align cardinal.one_le_aleph_0 Cardinal.one_le_aleph0
theorem lt_aleph0 {c : Cardinal} : c < ℵ₀ ↔ ∃ n : ℕ, c = n :=
⟨fun h => by
rcases lt_lift_iff.1 h with ⟨c, rfl, h'⟩
rcases le_mk_iff_exists_set.1 h'.1 with ⟨S, rfl⟩
suffices S.Finite by
lift S to Finset ℕ using this
simp
contrapose! h'
haveI := Infinite.to_subtype h'
exact ⟨Infinite.natEmbedding S⟩, fun ⟨n, e⟩ => e.symm ▸ nat_lt_aleph0 _⟩
#align cardinal.lt_aleph_0 Cardinal.lt_aleph0
lemma succ_eq_of_lt_aleph0 {c : Cardinal} (h : c < ℵ₀) : Order.succ c = c + 1 := by
obtain ⟨n, hn⟩ := Cardinal.lt_aleph0.mp h
rw [hn, succ_natCast]
theorem aleph0_le {c : Cardinal} : ℵ₀ ≤ c ↔ ∀ n : ℕ, ↑n ≤ c :=
⟨fun h n => (nat_lt_aleph0 _).le.trans h, fun h =>
le_of_not_lt fun hn => by
rcases lt_aleph0.1 hn with ⟨n, rfl⟩
exact (Nat.lt_succ_self _).not_le (natCast_le.1 (h (n + 1)))⟩
#align cardinal.aleph_0_le Cardinal.aleph0_le
theorem isSuccLimit_aleph0 : IsSuccLimit ℵ₀ :=
isSuccLimit_of_succ_lt fun a ha => by
rcases lt_aleph0.1 ha with ⟨n, rfl⟩
rw [← nat_succ]
apply nat_lt_aleph0
#align cardinal.is_succ_limit_aleph_0 Cardinal.isSuccLimit_aleph0
theorem isLimit_aleph0 : IsLimit ℵ₀ :=
⟨aleph0_ne_zero, isSuccLimit_aleph0⟩
#align cardinal.is_limit_aleph_0 Cardinal.isLimit_aleph0
lemma not_isLimit_natCast : (n : ℕ) → ¬ IsLimit (n : Cardinal.{u})
| 0, e => e.1 rfl
| Nat.succ n, e => Order.not_isSuccLimit_succ _ (nat_succ n ▸ e.2)
theorem IsLimit.aleph0_le {c : Cardinal} (h : IsLimit c) : ℵ₀ ≤ c := by
by_contra! h'
rcases lt_aleph0.1 h' with ⟨n, rfl⟩
exact not_isLimit_natCast n h
lemma exists_eq_natCast_of_iSup_eq {ι : Type u} [Nonempty ι] (f : ι → Cardinal.{v})
(hf : BddAbove (range f)) (n : ℕ) (h : ⨆ i, f i = n) : ∃ i, f i = n :=
exists_eq_of_iSup_eq_of_not_isLimit.{u, v} f hf _ (not_isLimit_natCast n) h
@[simp]
theorem range_natCast : range ((↑) : ℕ → Cardinal) = Iio ℵ₀ :=
ext fun x => by simp only [mem_Iio, mem_range, eq_comm, lt_aleph0]
#align cardinal.range_nat_cast Cardinal.range_natCast
theorem mk_eq_nat_iff {α : Type u} {n : ℕ} : #α = n ↔ Nonempty (α ≃ Fin n) := by
rw [← lift_mk_fin, ← lift_uzero #α, lift_mk_eq']
#align cardinal.mk_eq_nat_iff Cardinal.mk_eq_nat_iff
theorem lt_aleph0_iff_finite {α : Type u} : #α < ℵ₀ ↔ Finite α := by
simp only [lt_aleph0, mk_eq_nat_iff, finite_iff_exists_equiv_fin]
#align cardinal.lt_aleph_0_iff_finite Cardinal.lt_aleph0_iff_finite
theorem lt_aleph0_iff_fintype {α : Type u} : #α < ℵ₀ ↔ Nonempty (Fintype α) :=
lt_aleph0_iff_finite.trans (finite_iff_nonempty_fintype _)
#align cardinal.lt_aleph_0_iff_fintype Cardinal.lt_aleph0_iff_fintype
theorem lt_aleph0_of_finite (α : Type u) [Finite α] : #α < ℵ₀ :=
lt_aleph0_iff_finite.2 ‹_›
#align cardinal.lt_aleph_0_of_finite Cardinal.lt_aleph0_of_finite
-- porting note (#10618): simp can prove this
-- @[simp]
theorem lt_aleph0_iff_set_finite {S : Set α} : #S < ℵ₀ ↔ S.Finite :=
lt_aleph0_iff_finite.trans finite_coe_iff
#align cardinal.lt_aleph_0_iff_set_finite Cardinal.lt_aleph0_iff_set_finite
alias ⟨_, _root_.Set.Finite.lt_aleph0⟩ := lt_aleph0_iff_set_finite
#align set.finite.lt_aleph_0 Set.Finite.lt_aleph0
@[simp]
theorem lt_aleph0_iff_subtype_finite {p : α → Prop} : #{ x // p x } < ℵ₀ ↔ { x | p x }.Finite :=
lt_aleph0_iff_set_finite
#align cardinal.lt_aleph_0_iff_subtype_finite Cardinal.lt_aleph0_iff_subtype_finite
theorem mk_le_aleph0_iff : #α ≤ ℵ₀ ↔ Countable α := by
rw [countable_iff_nonempty_embedding, aleph0, ← lift_uzero #α, lift_mk_le']
#align cardinal.mk_le_aleph_0_iff Cardinal.mk_le_aleph0_iff
@[simp]
theorem mk_le_aleph0 [Countable α] : #α ≤ ℵ₀ :=
mk_le_aleph0_iff.mpr ‹_›
#align cardinal.mk_le_aleph_0 Cardinal.mk_le_aleph0
-- porting note (#10618): simp can prove this
-- @[simp]
theorem le_aleph0_iff_set_countable {s : Set α} : #s ≤ ℵ₀ ↔ s.Countable := mk_le_aleph0_iff
#align cardinal.le_aleph_0_iff_set_countable Cardinal.le_aleph0_iff_set_countable
alias ⟨_, _root_.Set.Countable.le_aleph0⟩ := le_aleph0_iff_set_countable
#align set.countable.le_aleph_0 Set.Countable.le_aleph0
@[simp]
theorem le_aleph0_iff_subtype_countable {p : α → Prop} :
#{ x // p x } ≤ ℵ₀ ↔ { x | p x }.Countable :=
le_aleph0_iff_set_countable
#align cardinal.le_aleph_0_iff_subtype_countable Cardinal.le_aleph0_iff_subtype_countable
instance canLiftCardinalNat : CanLift Cardinal ℕ (↑) fun x => x < ℵ₀ :=
⟨fun _ hx =>
let ⟨n, hn⟩ := lt_aleph0.mp hx
⟨n, hn.symm⟩⟩
#align cardinal.can_lift_cardinal_nat Cardinal.canLiftCardinalNat
theorem add_lt_aleph0 {a b : Cardinal} (ha : a < ℵ₀) (hb : b < ℵ₀) : a + b < ℵ₀ :=
match a, b, lt_aleph0.1 ha, lt_aleph0.1 hb with
| _, _, ⟨m, rfl⟩, ⟨n, rfl⟩ => by rw [← Nat.cast_add]; apply nat_lt_aleph0
#align cardinal.add_lt_aleph_0 Cardinal.add_lt_aleph0
theorem add_lt_aleph0_iff {a b : Cardinal} : a + b < ℵ₀ ↔ a < ℵ₀ ∧ b < ℵ₀ :=
⟨fun h => ⟨(self_le_add_right _ _).trans_lt h, (self_le_add_left _ _).trans_lt h⟩,
fun ⟨h1, h2⟩ => add_lt_aleph0 h1 h2⟩
#align cardinal.add_lt_aleph_0_iff Cardinal.add_lt_aleph0_iff
theorem aleph0_le_add_iff {a b : Cardinal} : ℵ₀ ≤ a + b ↔ ℵ₀ ≤ a ∨ ℵ₀ ≤ b := by
simp only [← not_lt, add_lt_aleph0_iff, not_and_or]
#align cardinal.aleph_0_le_add_iff Cardinal.aleph0_le_add_iff
/-- See also `Cardinal.nsmul_lt_aleph0_iff_of_ne_zero` if you already have `n ≠ 0`. -/
theorem nsmul_lt_aleph0_iff {n : ℕ} {a : Cardinal} : n • a < ℵ₀ ↔ n = 0 ∨ a < ℵ₀ := by
cases n with
| zero => simpa using nat_lt_aleph0 0
| succ n =>
simp only [Nat.succ_ne_zero, false_or_iff]
induction' n with n ih
· simp
rw [succ_nsmul, add_lt_aleph0_iff, ih, and_self_iff]
#align cardinal.nsmul_lt_aleph_0_iff Cardinal.nsmul_lt_aleph0_iff
/-- See also `Cardinal.nsmul_lt_aleph0_iff` for a hypothesis-free version. -/
theorem nsmul_lt_aleph0_iff_of_ne_zero {n : ℕ} {a : Cardinal} (h : n ≠ 0) : n • a < ℵ₀ ↔ a < ℵ₀ :=
nsmul_lt_aleph0_iff.trans <| or_iff_right h
#align cardinal.nsmul_lt_aleph_0_iff_of_ne_zero Cardinal.nsmul_lt_aleph0_iff_of_ne_zero
theorem mul_lt_aleph0 {a b : Cardinal} (ha : a < ℵ₀) (hb : b < ℵ₀) : a * b < ℵ₀ :=
match a, b, lt_aleph0.1 ha, lt_aleph0.1 hb with
| _, _, ⟨m, rfl⟩, ⟨n, rfl⟩ => by rw [← Nat.cast_mul]; apply nat_lt_aleph0
#align cardinal.mul_lt_aleph_0 Cardinal.mul_lt_aleph0
| Mathlib/SetTheory/Cardinal/Basic.lean | 1,699 | 1,713 | theorem mul_lt_aleph0_iff {a b : Cardinal} : a * b < ℵ₀ ↔ a = 0 ∨ b = 0 ∨ a < ℵ₀ ∧ b < ℵ₀ := by |
refine ⟨fun h => ?_, ?_⟩
· by_cases ha : a = 0
· exact Or.inl ha
right
by_cases hb : b = 0
· exact Or.inl hb
right
rw [← Ne, ← one_le_iff_ne_zero] at ha hb
constructor
· rw [← mul_one a]
exact (mul_le_mul' le_rfl hb).trans_lt h
· rw [← one_mul b]
exact (mul_le_mul' ha le_rfl).trans_lt h
rintro (rfl | rfl | ⟨ha, hb⟩) <;> simp only [*, mul_lt_aleph0, aleph0_pos, zero_mul, mul_zero]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Johannes Hölzl, Yury G. Kudryashov, Patrick Massot
-/
import Mathlib.Algebra.GeomSum
import Mathlib.Order.Filter.Archimedean
import Mathlib.Order.Iterate
import Mathlib.Topology.Algebra.Algebra
import Mathlib.Topology.Algebra.InfiniteSum.Real
#align_import analysis.specific_limits.basic from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2"
/-!
# A collection of specific limit computations
This file, by design, is independent of `NormedSpace` in the import hierarchy. It contains
important specific limit computations in metric spaces, in ordered rings/fields, and in specific
instances of these such as `ℝ`, `ℝ≥0` and `ℝ≥0∞`.
-/
noncomputable section
open scoped Classical
open Set Function Filter Finset Metric
open scoped Classical
open Topology Nat uniformity NNReal ENNReal
variable {α : Type*} {β : Type*} {ι : Type*}
theorem tendsto_inverse_atTop_nhds_zero_nat : Tendsto (fun n : ℕ ↦ (n : ℝ)⁻¹) atTop (𝓝 0) :=
tendsto_inv_atTop_zero.comp tendsto_natCast_atTop_atTop
#align tendsto_inverse_at_top_nhds_0_nat tendsto_inverse_atTop_nhds_zero_nat
@[deprecated (since := "2024-01-31")]
alias tendsto_inverse_atTop_nhds_0_nat := tendsto_inverse_atTop_nhds_zero_nat
theorem tendsto_const_div_atTop_nhds_zero_nat (C : ℝ) :
Tendsto (fun n : ℕ ↦ C / n) atTop (𝓝 0) := by
simpa only [mul_zero] using tendsto_const_nhds.mul tendsto_inverse_atTop_nhds_zero_nat
#align tendsto_const_div_at_top_nhds_0_nat tendsto_const_div_atTop_nhds_zero_nat
@[deprecated (since := "2024-01-31")]
alias tendsto_const_div_atTop_nhds_0_nat := tendsto_const_div_atTop_nhds_zero_nat
theorem tendsto_one_div_atTop_nhds_zero_nat : Tendsto (fun n : ℕ ↦ 1/(n : ℝ)) atTop (𝓝 0) :=
tendsto_const_div_atTop_nhds_zero_nat 1
@[deprecated (since := "2024-01-31")]
alias tendsto_one_div_atTop_nhds_0_nat := tendsto_one_div_atTop_nhds_zero_nat
theorem NNReal.tendsto_inverse_atTop_nhds_zero_nat :
Tendsto (fun n : ℕ ↦ (n : ℝ≥0)⁻¹) atTop (𝓝 0) := by
rw [← NNReal.tendsto_coe]
exact _root_.tendsto_inverse_atTop_nhds_zero_nat
#align nnreal.tendsto_inverse_at_top_nhds_0_nat NNReal.tendsto_inverse_atTop_nhds_zero_nat
@[deprecated (since := "2024-01-31")]
alias NNReal.tendsto_inverse_atTop_nhds_0_nat := NNReal.tendsto_inverse_atTop_nhds_zero_nat
theorem NNReal.tendsto_const_div_atTop_nhds_zero_nat (C : ℝ≥0) :
Tendsto (fun n : ℕ ↦ C / n) atTop (𝓝 0) := by
simpa using tendsto_const_nhds.mul NNReal.tendsto_inverse_atTop_nhds_zero_nat
#align nnreal.tendsto_const_div_at_top_nhds_0_nat NNReal.tendsto_const_div_atTop_nhds_zero_nat
@[deprecated (since := "2024-01-31")]
alias NNReal.tendsto_const_div_atTop_nhds_0_nat := NNReal.tendsto_const_div_atTop_nhds_zero_nat
theorem tendsto_one_div_add_atTop_nhds_zero_nat :
Tendsto (fun n : ℕ ↦ 1 / ((n : ℝ) + 1)) atTop (𝓝 0) :=
suffices Tendsto (fun n : ℕ ↦ 1 / (↑(n + 1) : ℝ)) atTop (𝓝 0) by simpa
(tendsto_add_atTop_iff_nat 1).2 (_root_.tendsto_const_div_atTop_nhds_zero_nat 1)
#align tendsto_one_div_add_at_top_nhds_0_nat tendsto_one_div_add_atTop_nhds_zero_nat
@[deprecated (since := "2024-01-31")]
alias tendsto_one_div_add_atTop_nhds_0_nat := tendsto_one_div_add_atTop_nhds_zero_nat
theorem NNReal.tendsto_algebraMap_inverse_atTop_nhds_zero_nat (𝕜 : Type*) [Semiring 𝕜]
[Algebra ℝ≥0 𝕜] [TopologicalSpace 𝕜] [ContinuousSMul ℝ≥0 𝕜] :
Tendsto (algebraMap ℝ≥0 𝕜 ∘ fun n : ℕ ↦ (n : ℝ≥0)⁻¹) atTop (𝓝 0) := by
convert (continuous_algebraMap ℝ≥0 𝕜).continuousAt.tendsto.comp
tendsto_inverse_atTop_nhds_zero_nat
rw [map_zero]
@[deprecated (since := "2024-01-31")]
alias NNReal.tendsto_algebraMap_inverse_atTop_nhds_0_nat :=
NNReal.tendsto_algebraMap_inverse_atTop_nhds_zero_nat
theorem tendsto_algebraMap_inverse_atTop_nhds_zero_nat (𝕜 : Type*) [Semiring 𝕜] [Algebra ℝ 𝕜]
[TopologicalSpace 𝕜] [ContinuousSMul ℝ 𝕜] :
Tendsto (algebraMap ℝ 𝕜 ∘ fun n : ℕ ↦ (n : ℝ)⁻¹) atTop (𝓝 0) :=
NNReal.tendsto_algebraMap_inverse_atTop_nhds_zero_nat 𝕜
@[deprecated (since := "2024-01-31")]
alias tendsto_algebraMap_inverse_atTop_nhds_0_nat :=
_root_.tendsto_algebraMap_inverse_atTop_nhds_zero_nat
/-- The limit of `n / (n + x)` is 1, for any constant `x` (valid in `ℝ` or any topological division
algebra over `ℝ`, e.g., `ℂ`).
TODO: introduce a typeclass saying that `1 / n` tends to 0 at top, making it possible to get this
statement simultaneously on `ℚ`, `ℝ` and `ℂ`. -/
theorem tendsto_natCast_div_add_atTop {𝕜 : Type*} [DivisionRing 𝕜] [TopologicalSpace 𝕜]
[CharZero 𝕜] [Algebra ℝ 𝕜] [ContinuousSMul ℝ 𝕜] [TopologicalDivisionRing 𝕜] (x : 𝕜) :
Tendsto (fun n : ℕ ↦ (n : 𝕜) / (n + x)) atTop (𝓝 1) := by
convert Tendsto.congr' ((eventually_ne_atTop 0).mp (eventually_of_forall fun n hn ↦ _)) _
· exact fun n : ℕ ↦ 1 / (1 + x / n)
· field_simp [Nat.cast_ne_zero.mpr hn]
· have : 𝓝 (1 : 𝕜) = 𝓝 (1 / (1 + x * (0 : 𝕜))) := by
rw [mul_zero, add_zero, div_one]
rw [this]
refine tendsto_const_nhds.div (tendsto_const_nhds.add ?_) (by simp)
simp_rw [div_eq_mul_inv]
refine tendsto_const_nhds.mul ?_
have := ((continuous_algebraMap ℝ 𝕜).tendsto _).comp tendsto_inverse_atTop_nhds_zero_nat
rw [map_zero, Filter.tendsto_atTop'] at this
refine Iff.mpr tendsto_atTop' ?_
intros
simp_all only [comp_apply, map_inv₀, map_natCast]
#align tendsto_coe_nat_div_add_at_top tendsto_natCast_div_add_atTop
/-! ### Powers -/
theorem tendsto_add_one_pow_atTop_atTop_of_pos [LinearOrderedSemiring α] [Archimedean α] {r : α}
(h : 0 < r) : Tendsto (fun n : ℕ ↦ (r + 1) ^ n) atTop atTop :=
tendsto_atTop_atTop_of_monotone' (fun _ _ ↦ pow_le_pow_right <| le_add_of_nonneg_left h.le) <|
not_bddAbove_iff.2 fun _ ↦ Set.exists_range_iff.2 <| add_one_pow_unbounded_of_pos _ h
#align tendsto_add_one_pow_at_top_at_top_of_pos tendsto_add_one_pow_atTop_atTop_of_pos
theorem tendsto_pow_atTop_atTop_of_one_lt [LinearOrderedRing α] [Archimedean α] {r : α}
(h : 1 < r) : Tendsto (fun n : ℕ ↦ r ^ n) atTop atTop :=
sub_add_cancel r 1 ▸ tendsto_add_one_pow_atTop_atTop_of_pos (sub_pos.2 h)
#align tendsto_pow_at_top_at_top_of_one_lt tendsto_pow_atTop_atTop_of_one_lt
theorem Nat.tendsto_pow_atTop_atTop_of_one_lt {m : ℕ} (h : 1 < m) :
Tendsto (fun n : ℕ ↦ m ^ n) atTop atTop :=
tsub_add_cancel_of_le (le_of_lt h) ▸ tendsto_add_one_pow_atTop_atTop_of_pos (tsub_pos_of_lt h)
#align nat.tendsto_pow_at_top_at_top_of_one_lt Nat.tendsto_pow_atTop_atTop_of_one_lt
theorem tendsto_pow_atTop_nhds_zero_of_lt_one {𝕜 : Type*} [LinearOrderedField 𝕜] [Archimedean 𝕜]
[TopologicalSpace 𝕜] [OrderTopology 𝕜] {r : 𝕜} (h₁ : 0 ≤ r) (h₂ : r < 1) :
Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝 0) :=
h₁.eq_or_lt.elim
(fun hr ↦ (tendsto_add_atTop_iff_nat 1).mp <| by
simp [_root_.pow_succ, ← hr, tendsto_const_nhds])
(fun hr ↦
have := one_lt_inv hr h₂ |> tendsto_pow_atTop_atTop_of_one_lt
(tendsto_inv_atTop_zero.comp this).congr fun n ↦ by simp)
#align tendsto_pow_at_top_nhds_0_of_lt_1 tendsto_pow_atTop_nhds_zero_of_lt_one
@[deprecated (since := "2024-01-31")]
alias tendsto_pow_atTop_nhds_0_of_lt_1 := tendsto_pow_atTop_nhds_zero_of_lt_one
@[simp] theorem tendsto_pow_atTop_nhds_zero_iff {𝕜 : Type*} [LinearOrderedField 𝕜] [Archimedean 𝕜]
[TopologicalSpace 𝕜] [OrderTopology 𝕜] {r : 𝕜} :
Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝 0) ↔ |r| < 1 := by
rw [tendsto_zero_iff_abs_tendsto_zero]
refine ⟨fun h ↦ by_contra (fun hr_le ↦ ?_), fun h ↦ ?_⟩
· by_cases hr : 1 = |r|
· replace h : Tendsto (fun n : ℕ ↦ |r|^n) atTop (𝓝 0) := by simpa only [← abs_pow, h]
simp only [hr.symm, one_pow] at h
exact zero_ne_one <| tendsto_nhds_unique h tendsto_const_nhds
· apply @not_tendsto_nhds_of_tendsto_atTop 𝕜 ℕ _ _ _ _ atTop _ (fun n ↦ |r| ^ n) _ 0 _
· refine (pow_right_strictMono <| lt_of_le_of_ne (le_of_not_lt hr_le)
hr).monotone.tendsto_atTop_atTop (fun b ↦ ?_)
obtain ⟨n, hn⟩ := (pow_unbounded_of_one_lt b (lt_of_le_of_ne (le_of_not_lt hr_le) hr))
exact ⟨n, le_of_lt hn⟩
· simpa only [← abs_pow]
· simpa only [← abs_pow] using (tendsto_pow_atTop_nhds_zero_of_lt_one (abs_nonneg r)) h
@[deprecated (since := "2024-01-31")]
alias tendsto_pow_atTop_nhds_0_iff := tendsto_pow_atTop_nhds_zero_iff
theorem tendsto_pow_atTop_nhdsWithin_zero_of_lt_one {𝕜 : Type*} [LinearOrderedField 𝕜]
[Archimedean 𝕜] [TopologicalSpace 𝕜] [OrderTopology 𝕜] {r : 𝕜} (h₁ : 0 < r) (h₂ : r < 1) :
Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝[>] 0) :=
tendsto_inf.2
⟨tendsto_pow_atTop_nhds_zero_of_lt_one h₁.le h₂,
tendsto_principal.2 <| eventually_of_forall fun _ ↦ pow_pos h₁ _⟩
#align tendsto_pow_at_top_nhds_within_0_of_lt_1 tendsto_pow_atTop_nhdsWithin_zero_of_lt_one
@[deprecated (since := "2024-01-31")]
alias tendsto_pow_atTop_nhdsWithin_0_of_lt_1 := tendsto_pow_atTop_nhdsWithin_zero_of_lt_one
theorem uniformity_basis_dist_pow_of_lt_one {α : Type*} [PseudoMetricSpace α] {r : ℝ} (h₀ : 0 < r)
(h₁ : r < 1) :
(uniformity α).HasBasis (fun _ : ℕ ↦ True) fun k ↦ { p : α × α | dist p.1 p.2 < r ^ k } :=
Metric.mk_uniformity_basis (fun _ _ ↦ pow_pos h₀ _) fun _ ε0 ↦
(exists_pow_lt_of_lt_one ε0 h₁).imp fun _ hk ↦ ⟨trivial, hk.le⟩
#align uniformity_basis_dist_pow_of_lt_1 uniformity_basis_dist_pow_of_lt_one
@[deprecated (since := "2024-01-31")]
alias uniformity_basis_dist_pow_of_lt_1 := uniformity_basis_dist_pow_of_lt_one
theorem geom_lt {u : ℕ → ℝ} {c : ℝ} (hc : 0 ≤ c) {n : ℕ} (hn : 0 < n)
(h : ∀ k < n, c * u k < u (k + 1)) : c ^ n * u 0 < u n := by
apply (monotone_mul_left_of_nonneg hc).seq_pos_lt_seq_of_le_of_lt hn _ _ h
· simp
· simp [_root_.pow_succ', mul_assoc, le_refl]
#align geom_lt geom_lt
theorem geom_le {u : ℕ → ℝ} {c : ℝ} (hc : 0 ≤ c) (n : ℕ) (h : ∀ k < n, c * u k ≤ u (k + 1)) :
c ^ n * u 0 ≤ u n := by
apply (monotone_mul_left_of_nonneg hc).seq_le_seq n _ _ h <;>
simp [_root_.pow_succ', mul_assoc, le_refl]
#align geom_le geom_le
theorem lt_geom {u : ℕ → ℝ} {c : ℝ} (hc : 0 ≤ c) {n : ℕ} (hn : 0 < n)
(h : ∀ k < n, u (k + 1) < c * u k) : u n < c ^ n * u 0 := by
apply (monotone_mul_left_of_nonneg hc).seq_pos_lt_seq_of_lt_of_le hn _ h _
· simp
· simp [_root_.pow_succ', mul_assoc, le_refl]
#align lt_geom lt_geom
theorem le_geom {u : ℕ → ℝ} {c : ℝ} (hc : 0 ≤ c) (n : ℕ) (h : ∀ k < n, u (k + 1) ≤ c * u k) :
u n ≤ c ^ n * u 0 := by
apply (monotone_mul_left_of_nonneg hc).seq_le_seq n _ h _ <;>
simp [_root_.pow_succ', mul_assoc, le_refl]
#align le_geom le_geom
/-- If a sequence `v` of real numbers satisfies `k * v n ≤ v (n+1)` with `1 < k`,
then it goes to +∞. -/
theorem tendsto_atTop_of_geom_le {v : ℕ → ℝ} {c : ℝ} (h₀ : 0 < v 0) (hc : 1 < c)
(hu : ∀ n, c * v n ≤ v (n + 1)) : Tendsto v atTop atTop :=
(tendsto_atTop_mono fun n ↦ geom_le (zero_le_one.trans hc.le) n fun k _ ↦ hu k) <|
(tendsto_pow_atTop_atTop_of_one_lt hc).atTop_mul_const h₀
#align tendsto_at_top_of_geom_le tendsto_atTop_of_geom_le
theorem NNReal.tendsto_pow_atTop_nhds_zero_of_lt_one {r : ℝ≥0} (hr : r < 1) :
Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝 0) :=
NNReal.tendsto_coe.1 <| by
simp only [NNReal.coe_pow, NNReal.coe_zero,
_root_.tendsto_pow_atTop_nhds_zero_of_lt_one r.coe_nonneg hr]
#align nnreal.tendsto_pow_at_top_nhds_0_of_lt_1 NNReal.tendsto_pow_atTop_nhds_zero_of_lt_one
@[deprecated (since := "2024-01-31")]
alias NNReal.tendsto_pow_atTop_nhds_0_of_lt_1 := NNReal.tendsto_pow_atTop_nhds_zero_of_lt_one
@[simp]
protected theorem NNReal.tendsto_pow_atTop_nhds_zero_iff {r : ℝ≥0} :
Tendsto (fun n : ℕ => r ^ n) atTop (𝓝 0) ↔ r < 1 :=
⟨fun h => by simpa [coe_pow, coe_zero, abs_eq, coe_lt_one, val_eq_coe] using
tendsto_pow_atTop_nhds_zero_iff.mp <| tendsto_coe.mpr h, tendsto_pow_atTop_nhds_zero_of_lt_one⟩
theorem ENNReal.tendsto_pow_atTop_nhds_zero_of_lt_one {r : ℝ≥0∞} (hr : r < 1) :
Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝 0) := by
rcases ENNReal.lt_iff_exists_coe.1 hr with ⟨r, rfl, hr'⟩
rw [← ENNReal.coe_zero]
norm_cast at *
apply NNReal.tendsto_pow_atTop_nhds_zero_of_lt_one hr
#align ennreal.tendsto_pow_at_top_nhds_0_of_lt_1 ENNReal.tendsto_pow_atTop_nhds_zero_of_lt_one
@[deprecated (since := "2024-01-31")]
alias ENNReal.tendsto_pow_atTop_nhds_0_of_lt_1 := ENNReal.tendsto_pow_atTop_nhds_zero_of_lt_one
@[simp]
protected theorem ENNReal.tendsto_pow_atTop_nhds_zero_iff {r : ℝ≥0∞} :
Tendsto (fun n : ℕ => r ^ n) atTop (𝓝 0) ↔ r < 1 := by
refine ⟨fun h ↦ ?_, tendsto_pow_atTop_nhds_zero_of_lt_one⟩
lift r to NNReal
· refine fun hr ↦ top_ne_zero (tendsto_nhds_unique (EventuallyEq.tendsto ?_) (hr ▸ h))
exact eventually_atTop.mpr ⟨1, fun _ hn ↦ pow_eq_top_iff.mpr ⟨rfl, Nat.pos_iff_ne_zero.mp hn⟩⟩
rw [← coe_zero] at h
norm_cast at h ⊢
exact NNReal.tendsto_pow_atTop_nhds_zero_iff.mp h
/-! ### Geometric series-/
section Geometric
theorem hasSum_geometric_of_lt_one {r : ℝ} (h₁ : 0 ≤ r) (h₂ : r < 1) :
HasSum (fun n : ℕ ↦ r ^ n) (1 - r)⁻¹ :=
have : r ≠ 1 := ne_of_lt h₂
have : Tendsto (fun n ↦ (r ^ n - 1) * (r - 1)⁻¹) atTop (𝓝 ((0 - 1) * (r - 1)⁻¹)) :=
((tendsto_pow_atTop_nhds_zero_of_lt_one h₁ h₂).sub tendsto_const_nhds).mul tendsto_const_nhds
(hasSum_iff_tendsto_nat_of_nonneg (pow_nonneg h₁) _).mpr <| by
simp_all [neg_inv, geom_sum_eq, div_eq_mul_inv]
#align has_sum_geometric_of_lt_1 hasSum_geometric_of_lt_one
@[deprecated (since := "2024-01-31")] alias hasSum_geometric_of_lt_1 := hasSum_geometric_of_lt_one
theorem summable_geometric_of_lt_one {r : ℝ} (h₁ : 0 ≤ r) (h₂ : r < 1) :
Summable fun n : ℕ ↦ r ^ n :=
⟨_, hasSum_geometric_of_lt_one h₁ h₂⟩
#align summable_geometric_of_lt_1 summable_geometric_of_lt_one
@[deprecated (since := "2024-01-31")]
alias summable_geometric_of_lt_1 := summable_geometric_of_lt_one
theorem tsum_geometric_of_lt_one {r : ℝ} (h₁ : 0 ≤ r) (h₂ : r < 1) : ∑' n : ℕ, r ^ n = (1 - r)⁻¹ :=
(hasSum_geometric_of_lt_one h₁ h₂).tsum_eq
#align tsum_geometric_of_lt_1 tsum_geometric_of_lt_one
@[deprecated (since := "2024-01-31")] alias tsum_geometric_of_lt_1 := tsum_geometric_of_lt_one
theorem hasSum_geometric_two : HasSum (fun n : ℕ ↦ ((1 : ℝ) / 2) ^ n) 2 := by
convert hasSum_geometric_of_lt_one _ _ <;> norm_num
#align has_sum_geometric_two hasSum_geometric_two
theorem summable_geometric_two : Summable fun n : ℕ ↦ ((1 : ℝ) / 2) ^ n :=
⟨_, hasSum_geometric_two⟩
#align summable_geometric_two summable_geometric_two
theorem summable_geometric_two_encode {ι : Type*} [Encodable ι] :
Summable fun i : ι ↦ (1 / 2 : ℝ) ^ Encodable.encode i :=
summable_geometric_two.comp_injective Encodable.encode_injective
#align summable_geometric_two_encode summable_geometric_two_encode
theorem tsum_geometric_two : (∑' n : ℕ, ((1 : ℝ) / 2) ^ n) = 2 :=
hasSum_geometric_two.tsum_eq
#align tsum_geometric_two tsum_geometric_two
theorem sum_geometric_two_le (n : ℕ) : (∑ i ∈ range n, (1 / (2 : ℝ)) ^ i) ≤ 2 := by
have : ∀ i, 0 ≤ (1 / (2 : ℝ)) ^ i := by
intro i
apply pow_nonneg
norm_num
convert sum_le_tsum (range n) (fun i _ ↦ this i) summable_geometric_two
exact tsum_geometric_two.symm
#align sum_geometric_two_le sum_geometric_two_le
theorem tsum_geometric_inv_two : (∑' n : ℕ, (2 : ℝ)⁻¹ ^ n) = 2 :=
(inv_eq_one_div (2 : ℝ)).symm ▸ tsum_geometric_two
#align tsum_geometric_inv_two tsum_geometric_inv_two
/-- The sum of `2⁻¹ ^ i` for `n ≤ i` equals `2 * 2⁻¹ ^ n`. -/
theorem tsum_geometric_inv_two_ge (n : ℕ) :
(∑' i, ite (n ≤ i) ((2 : ℝ)⁻¹ ^ i) 0) = 2 * 2⁻¹ ^ n := by
have A : Summable fun i : ℕ ↦ ite (n ≤ i) ((2⁻¹ : ℝ) ^ i) 0 := by
simpa only [← piecewise_eq_indicator, one_div]
using summable_geometric_two.indicator {i | n ≤ i}
have B : ((Finset.range n).sum fun i : ℕ ↦ ite (n ≤ i) ((2⁻¹ : ℝ) ^ i) 0) = 0 :=
Finset.sum_eq_zero fun i hi ↦
ite_eq_right_iff.2 fun h ↦ (lt_irrefl _ ((Finset.mem_range.1 hi).trans_le h)).elim
simp only [← _root_.sum_add_tsum_nat_add n A, B, if_true, zero_add, zero_le',
le_add_iff_nonneg_left, pow_add, _root_.tsum_mul_right, tsum_geometric_inv_two]
#align tsum_geometric_inv_two_ge tsum_geometric_inv_two_ge
theorem hasSum_geometric_two' (a : ℝ) : HasSum (fun n : ℕ ↦ a / 2 / 2 ^ n) a := by
convert HasSum.mul_left (a / 2)
(hasSum_geometric_of_lt_one (le_of_lt one_half_pos) one_half_lt_one) using 1
· funext n
simp only [one_div, inv_pow]
rfl
· norm_num
#align has_sum_geometric_two' hasSum_geometric_two'
theorem summable_geometric_two' (a : ℝ) : Summable fun n : ℕ ↦ a / 2 / 2 ^ n :=
⟨a, hasSum_geometric_two' a⟩
#align summable_geometric_two' summable_geometric_two'
theorem tsum_geometric_two' (a : ℝ) : ∑' n : ℕ, a / 2 / 2 ^ n = a :=
(hasSum_geometric_two' a).tsum_eq
#align tsum_geometric_two' tsum_geometric_two'
/-- **Sum of a Geometric Series** -/
theorem NNReal.hasSum_geometric {r : ℝ≥0} (hr : r < 1) : HasSum (fun n : ℕ ↦ r ^ n) (1 - r)⁻¹ := by
apply NNReal.hasSum_coe.1
push_cast
rw [NNReal.coe_sub (le_of_lt hr)]
exact hasSum_geometric_of_lt_one r.coe_nonneg hr
#align nnreal.has_sum_geometric NNReal.hasSum_geometric
theorem NNReal.summable_geometric {r : ℝ≥0} (hr : r < 1) : Summable fun n : ℕ ↦ r ^ n :=
⟨_, NNReal.hasSum_geometric hr⟩
#align nnreal.summable_geometric NNReal.summable_geometric
theorem tsum_geometric_nnreal {r : ℝ≥0} (hr : r < 1) : ∑' n : ℕ, r ^ n = (1 - r)⁻¹ :=
(NNReal.hasSum_geometric hr).tsum_eq
#align tsum_geometric_nnreal tsum_geometric_nnreal
/-- The series `pow r` converges to `(1-r)⁻¹`. For `r < 1` the RHS is a finite number,
and for `1 ≤ r` the RHS equals `∞`. -/
@[simp]
theorem ENNReal.tsum_geometric (r : ℝ≥0∞) : ∑' n : ℕ, r ^ n = (1 - r)⁻¹ := by
cases' lt_or_le r 1 with hr hr
· rcases ENNReal.lt_iff_exists_coe.1 hr with ⟨r, rfl, hr'⟩
norm_cast at *
convert ENNReal.tsum_coe_eq (NNReal.hasSum_geometric hr)
rw [ENNReal.coe_inv <| ne_of_gt <| tsub_pos_iff_lt.2 hr, coe_sub, coe_one]
· rw [tsub_eq_zero_iff_le.mpr hr, ENNReal.inv_zero, ENNReal.tsum_eq_iSup_nat, iSup_eq_top]
refine fun a ha ↦
(ENNReal.exists_nat_gt (lt_top_iff_ne_top.1 ha)).imp fun n hn ↦ lt_of_lt_of_le hn ?_
calc
(n : ℝ≥0∞) = ∑ i ∈ range n, 1 := by rw [sum_const, nsmul_one, card_range]
_ ≤ ∑ i ∈ range n, r ^ i := by gcongr; apply one_le_pow_of_one_le' hr
#align ennreal.tsum_geometric ENNReal.tsum_geometric
theorem ENNReal.tsum_geometric_add_one (r : ℝ≥0∞) : ∑' n : ℕ, r ^ (n + 1) = r * (1 - r)⁻¹ := by
simp only [_root_.pow_succ', ENNReal.tsum_mul_left, ENNReal.tsum_geometric]
end Geometric
/-!
### Sequences with geometrically decaying distance in metric spaces
In this paragraph, we discuss sequences in metric spaces or emetric spaces for which the distance
between two consecutive terms decays geometrically. We show that such sequences are Cauchy
sequences, and bound their distances to the limit. We also discuss series with geometrically
decaying terms.
-/
section EdistLeGeometric
variable [PseudoEMetricSpace α] (r C : ℝ≥0∞) (hr : r < 1) (hC : C ≠ ⊤) {f : ℕ → α}
(hu : ∀ n, edist (f n) (f (n + 1)) ≤ C * r ^ n)
/-- If `edist (f n) (f (n+1))` is bounded by `C * r^n`, `C ≠ ∞`, `r < 1`,
then `f` is a Cauchy sequence. -/
theorem cauchySeq_of_edist_le_geometric : CauchySeq f := by
refine cauchySeq_of_edist_le_of_tsum_ne_top _ hu ?_
rw [ENNReal.tsum_mul_left, ENNReal.tsum_geometric]
refine ENNReal.mul_ne_top hC (ENNReal.inv_ne_top.2 ?_)
exact (tsub_pos_iff_lt.2 hr).ne'
#align cauchy_seq_of_edist_le_geometric cauchySeq_of_edist_le_geometric
/-- If `edist (f n) (f (n+1))` is bounded by `C * r^n`, then the distance from
`f n` to the limit of `f` is bounded above by `C * r^n / (1 - r)`. -/
theorem edist_le_of_edist_le_geometric_of_tendsto {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) :
edist (f n) a ≤ C * r ^ n / (1 - r) := by
convert edist_le_tsum_of_edist_le_of_tendsto _ hu ha _
simp only [pow_add, ENNReal.tsum_mul_left, ENNReal.tsum_geometric, div_eq_mul_inv, mul_assoc]
#align edist_le_of_edist_le_geometric_of_tendsto edist_le_of_edist_le_geometric_of_tendsto
/-- If `edist (f n) (f (n+1))` is bounded by `C * r^n`, then the distance from
`f 0` to the limit of `f` is bounded above by `C / (1 - r)`. -/
theorem edist_le_of_edist_le_geometric_of_tendsto₀ {a : α} (ha : Tendsto f atTop (𝓝 a)) :
edist (f 0) a ≤ C / (1 - r) := by
simpa only [_root_.pow_zero, mul_one] using edist_le_of_edist_le_geometric_of_tendsto r C hu ha 0
#align edist_le_of_edist_le_geometric_of_tendsto₀ edist_le_of_edist_le_geometric_of_tendsto₀
end EdistLeGeometric
section EdistLeGeometricTwo
variable [PseudoEMetricSpace α] (C : ℝ≥0∞) (hC : C ≠ ⊤) {f : ℕ → α}
(hu : ∀ n, edist (f n) (f (n + 1)) ≤ C / 2 ^ n) {a : α} (ha : Tendsto f atTop (𝓝 a))
/-- If `edist (f n) (f (n+1))` is bounded by `C * 2^-n`, then `f` is a Cauchy sequence. -/
theorem cauchySeq_of_edist_le_geometric_two : CauchySeq f := by
simp only [div_eq_mul_inv, ENNReal.inv_pow] at hu
refine cauchySeq_of_edist_le_geometric 2⁻¹ C ?_ hC hu
simp [ENNReal.one_lt_two]
#align cauchy_seq_of_edist_le_geometric_two cauchySeq_of_edist_le_geometric_two
/-- If `edist (f n) (f (n+1))` is bounded by `C * 2^-n`, then the distance from
`f n` to the limit of `f` is bounded above by `2 * C * 2^-n`. -/
theorem edist_le_of_edist_le_geometric_two_of_tendsto (n : ℕ) : edist (f n) a ≤ 2 * C / 2 ^ n := by
simp only [div_eq_mul_inv, ENNReal.inv_pow] at *
rw [mul_assoc, mul_comm]
convert edist_le_of_edist_le_geometric_of_tendsto 2⁻¹ C hu ha n using 1
rw [ENNReal.one_sub_inv_two, div_eq_mul_inv, inv_inv]
#align edist_le_of_edist_le_geometric_two_of_tendsto edist_le_of_edist_le_geometric_two_of_tendsto
/-- If `edist (f n) (f (n+1))` is bounded by `C * 2^-n`, then the distance from
`f 0` to the limit of `f` is bounded above by `2 * C`. -/
theorem edist_le_of_edist_le_geometric_two_of_tendsto₀ : edist (f 0) a ≤ 2 * C := by
simpa only [_root_.pow_zero, div_eq_mul_inv, inv_one, mul_one] using
edist_le_of_edist_le_geometric_two_of_tendsto C hu ha 0
#align edist_le_of_edist_le_geometric_two_of_tendsto₀ edist_le_of_edist_le_geometric_two_of_tendsto₀
end EdistLeGeometricTwo
section LeGeometric
variable [PseudoMetricSpace α] {r C : ℝ} (hr : r < 1) {f : ℕ → α}
(hu : ∀ n, dist (f n) (f (n + 1)) ≤ C * r ^ n)
theorem aux_hasSum_of_le_geometric : HasSum (fun n : ℕ ↦ C * r ^ n) (C / (1 - r)) := by
rcases sign_cases_of_C_mul_pow_nonneg fun n ↦ dist_nonneg.trans (hu n) with (rfl | ⟨_, r₀⟩)
· simp [hasSum_zero]
· refine HasSum.mul_left C ?_
simpa using hasSum_geometric_of_lt_one r₀ hr
#align aux_has_sum_of_le_geometric aux_hasSum_of_le_geometric
variable (r C)
/-- If `dist (f n) (f (n+1))` is bounded by `C * r^n`, `r < 1`, then `f` is a Cauchy sequence.
Note that this lemma does not assume `0 ≤ C` or `0 ≤ r`. -/
theorem cauchySeq_of_le_geometric : CauchySeq f :=
cauchySeq_of_dist_le_of_summable _ hu ⟨_, aux_hasSum_of_le_geometric hr hu⟩
#align cauchy_seq_of_le_geometric cauchySeq_of_le_geometric
/-- If `dist (f n) (f (n+1))` is bounded by `C * r^n`, `r < 1`, then the distance from
`f n` to the limit of `f` is bounded above by `C * r^n / (1 - r)`. -/
theorem dist_le_of_le_geometric_of_tendsto₀ {a : α} (ha : Tendsto f atTop (𝓝 a)) :
dist (f 0) a ≤ C / (1 - r) :=
(aux_hasSum_of_le_geometric hr hu).tsum_eq ▸
dist_le_tsum_of_dist_le_of_tendsto₀ _ hu ⟨_, aux_hasSum_of_le_geometric hr hu⟩ ha
#align dist_le_of_le_geometric_of_tendsto₀ dist_le_of_le_geometric_of_tendsto₀
/-- If `dist (f n) (f (n+1))` is bounded by `C * r^n`, `r < 1`, then the distance from
`f 0` to the limit of `f` is bounded above by `C / (1 - r)`. -/
theorem dist_le_of_le_geometric_of_tendsto {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) :
dist (f n) a ≤ C * r ^ n / (1 - r) := by
have := aux_hasSum_of_le_geometric hr hu
convert dist_le_tsum_of_dist_le_of_tendsto _ hu ⟨_, this⟩ ha n
simp only [pow_add, mul_left_comm C, mul_div_right_comm]
rw [mul_comm]
exact (this.mul_left _).tsum_eq.symm
#align dist_le_of_le_geometric_of_tendsto dist_le_of_le_geometric_of_tendsto
variable (hu₂ : ∀ n, dist (f n) (f (n + 1)) ≤ C / 2 / 2 ^ n)
/-- If `dist (f n) (f (n+1))` is bounded by `(C / 2) / 2^n`, then `f` is a Cauchy sequence. -/
theorem cauchySeq_of_le_geometric_two : CauchySeq f :=
cauchySeq_of_dist_le_of_summable _ hu₂ <| ⟨_, hasSum_geometric_two' C⟩
#align cauchy_seq_of_le_geometric_two cauchySeq_of_le_geometric_two
/-- If `dist (f n) (f (n+1))` is bounded by `(C / 2) / 2^n`, then the distance from
`f 0` to the limit of `f` is bounded above by `C`. -/
theorem dist_le_of_le_geometric_two_of_tendsto₀ {a : α} (ha : Tendsto f atTop (𝓝 a)) :
dist (f 0) a ≤ C :=
tsum_geometric_two' C ▸ dist_le_tsum_of_dist_le_of_tendsto₀ _ hu₂ (summable_geometric_two' C) ha
#align dist_le_of_le_geometric_two_of_tendsto₀ dist_le_of_le_geometric_two_of_tendsto₀
/-- If `dist (f n) (f (n+1))` is bounded by `(C / 2) / 2^n`, then the distance from
`f n` to the limit of `f` is bounded above by `C / 2^n`. -/
theorem dist_le_of_le_geometric_two_of_tendsto {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) :
dist (f n) a ≤ C / 2 ^ n := by
convert dist_le_tsum_of_dist_le_of_tendsto _ hu₂ (summable_geometric_two' C) ha n
simp only [add_comm n, pow_add, ← div_div]
symm
exact ((hasSum_geometric_two' C).div_const _).tsum_eq
#align dist_le_of_le_geometric_two_of_tendsto dist_le_of_le_geometric_two_of_tendsto
end LeGeometric
/-! ### Summability tests based on comparison with geometric series -/
/-- A series whose terms are bounded by the terms of a converging geometric series converges. -/
| Mathlib/Analysis/SpecificLimits/Basic.lean | 524 | 531 | theorem summable_one_div_pow_of_le {m : ℝ} {f : ℕ → ℕ} (hm : 1 < m) (fi : ∀ i, i ≤ f i) :
Summable fun i ↦ 1 / m ^ f i := by |
refine .of_nonneg_of_le (fun a ↦ by positivity) (fun a ↦ ?_)
(summable_geometric_of_lt_one (one_div_nonneg.mpr (zero_le_one.trans hm.le))
((one_div_lt (zero_lt_one.trans hm) zero_lt_one).mpr (one_div_one.le.trans_lt hm)))
rw [div_pow, one_pow]
refine (one_div_le_one_div ?_ ?_).mpr (pow_le_pow_right hm.le (fi a)) <;>
exact pow_pos (zero_lt_one.trans hm) _
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.Data.Bool.Set
import Mathlib.Data.Nat.Set
import Mathlib.Data.Set.Prod
import Mathlib.Data.ULift
import Mathlib.Order.Bounds.Basic
import Mathlib.Order.Hom.Set
import Mathlib.Order.SetNotation
#align_import order.complete_lattice from "leanprover-community/mathlib"@"5709b0d8725255e76f47debca6400c07b5c2d8e6"
/-!
# Theory of complete lattices
## Main definitions
* `sSup` and `sInf` are the supremum and the infimum of a set;
* `iSup (f : ι → α)` and `iInf (f : ι → α)` are indexed supremum and infimum of a function,
defined as `sSup` and `sInf` of the range of this function;
* class `CompleteLattice`: a bounded lattice such that `sSup s` is always the least upper boundary
of `s` and `sInf s` is always the greatest lower boundary of `s`;
* class `CompleteLinearOrder`: a linear ordered complete lattice.
## Naming conventions
In lemma names,
* `sSup` is called `sSup`
* `sInf` is called `sInf`
* `⨆ i, s i` is called `iSup`
* `⨅ i, s i` is called `iInf`
* `⨆ i j, s i j` is called `iSup₂`. This is an `iSup` inside an `iSup`.
* `⨅ i j, s i j` is called `iInf₂`. This is an `iInf` inside an `iInf`.
* `⨆ i ∈ s, t i` is called `biSup` for "bounded `iSup`". This is the special case of `iSup₂`
where `j : i ∈ s`.
* `⨅ i ∈ s, t i` is called `biInf` for "bounded `iInf`". This is the special case of `iInf₂`
where `j : i ∈ s`.
## Notation
* `⨆ i, f i` : `iSup f`, the supremum of the range of `f`;
* `⨅ i, f i` : `iInf f`, the infimum of the range of `f`.
-/
open Function OrderDual Set
variable {α β β₂ γ : Type*} {ι ι' : Sort*} {κ : ι → Sort*} {κ' : ι' → Sort*}
instance OrderDual.supSet (α) [InfSet α] : SupSet αᵒᵈ :=
⟨(sInf : Set α → α)⟩
instance OrderDual.infSet (α) [SupSet α] : InfSet αᵒᵈ :=
⟨(sSup : Set α → α)⟩
/-- Note that we rarely use `CompleteSemilatticeSup`
(in fact, any such object is always a `CompleteLattice`, so it's usually best to start there).
Nevertheless it is sometimes a useful intermediate step in constructions.
-/
class CompleteSemilatticeSup (α : Type*) extends PartialOrder α, SupSet α where
/-- Any element of a set is less than the set supremum. -/
le_sSup : ∀ s, ∀ a ∈ s, a ≤ sSup s
/-- Any upper bound is more than the set supremum. -/
sSup_le : ∀ s a, (∀ b ∈ s, b ≤ a) → sSup s ≤ a
#align complete_semilattice_Sup CompleteSemilatticeSup
section
variable [CompleteSemilatticeSup α] {s t : Set α} {a b : α}
theorem le_sSup : a ∈ s → a ≤ sSup s :=
CompleteSemilatticeSup.le_sSup s a
#align le_Sup le_sSup
theorem sSup_le : (∀ b ∈ s, b ≤ a) → sSup s ≤ a :=
CompleteSemilatticeSup.sSup_le s a
#align Sup_le sSup_le
theorem isLUB_sSup (s : Set α) : IsLUB s (sSup s) :=
⟨fun _ ↦ le_sSup, fun _ ↦ sSup_le⟩
#align is_lub_Sup isLUB_sSup
lemma isLUB_iff_sSup_eq : IsLUB s a ↔ sSup s = a :=
⟨(isLUB_sSup s).unique, by rintro rfl; exact isLUB_sSup _⟩
alias ⟨IsLUB.sSup_eq, _⟩ := isLUB_iff_sSup_eq
#align is_lub.Sup_eq IsLUB.sSup_eq
theorem le_sSup_of_le (hb : b ∈ s) (h : a ≤ b) : a ≤ sSup s :=
le_trans h (le_sSup hb)
#align le_Sup_of_le le_sSup_of_le
@[gcongr]
theorem sSup_le_sSup (h : s ⊆ t) : sSup s ≤ sSup t :=
(isLUB_sSup s).mono (isLUB_sSup t) h
#align Sup_le_Sup sSup_le_sSup
@[simp]
theorem sSup_le_iff : sSup s ≤ a ↔ ∀ b ∈ s, b ≤ a :=
isLUB_le_iff (isLUB_sSup s)
#align Sup_le_iff sSup_le_iff
theorem le_sSup_iff : a ≤ sSup s ↔ ∀ b ∈ upperBounds s, a ≤ b :=
⟨fun h _ hb => le_trans h (sSup_le hb), fun hb => hb _ fun _ => le_sSup⟩
#align le_Sup_iff le_sSup_iff
theorem le_iSup_iff {s : ι → α} : a ≤ iSup s ↔ ∀ b, (∀ i, s i ≤ b) → a ≤ b := by
simp [iSup, le_sSup_iff, upperBounds]
#align le_supr_iff le_iSup_iff
theorem sSup_le_sSup_of_forall_exists_le (h : ∀ x ∈ s, ∃ y ∈ t, x ≤ y) : sSup s ≤ sSup t :=
le_sSup_iff.2 fun _ hb =>
sSup_le fun a ha =>
let ⟨_, hct, hac⟩ := h a ha
hac.trans (hb hct)
#align Sup_le_Sup_of_forall_exists_le sSup_le_sSup_of_forall_exists_le
-- We will generalize this to conditionally complete lattices in `csSup_singleton`.
theorem sSup_singleton {a : α} : sSup {a} = a :=
isLUB_singleton.sSup_eq
#align Sup_singleton sSup_singleton
end
/-- Note that we rarely use `CompleteSemilatticeInf`
(in fact, any such object is always a `CompleteLattice`, so it's usually best to start there).
Nevertheless it is sometimes a useful intermediate step in constructions.
-/
class CompleteSemilatticeInf (α : Type*) extends PartialOrder α, InfSet α where
/-- Any element of a set is more than the set infimum. -/
sInf_le : ∀ s, ∀ a ∈ s, sInf s ≤ a
/-- Any lower bound is less than the set infimum. -/
le_sInf : ∀ s a, (∀ b ∈ s, a ≤ b) → a ≤ sInf s
#align complete_semilattice_Inf CompleteSemilatticeInf
section
variable [CompleteSemilatticeInf α] {s t : Set α} {a b : α}
theorem sInf_le : a ∈ s → sInf s ≤ a :=
CompleteSemilatticeInf.sInf_le s a
#align Inf_le sInf_le
theorem le_sInf : (∀ b ∈ s, a ≤ b) → a ≤ sInf s :=
CompleteSemilatticeInf.le_sInf s a
#align le_Inf le_sInf
theorem isGLB_sInf (s : Set α) : IsGLB s (sInf s) :=
⟨fun _ => sInf_le, fun _ => le_sInf⟩
#align is_glb_Inf isGLB_sInf
lemma isGLB_iff_sInf_eq : IsGLB s a ↔ sInf s = a :=
⟨(isGLB_sInf s).unique, by rintro rfl; exact isGLB_sInf _⟩
alias ⟨IsGLB.sInf_eq, _⟩ := isGLB_iff_sInf_eq
#align is_glb.Inf_eq IsGLB.sInf_eq
theorem sInf_le_of_le (hb : b ∈ s) (h : b ≤ a) : sInf s ≤ a :=
le_trans (sInf_le hb) h
#align Inf_le_of_le sInf_le_of_le
@[gcongr]
theorem sInf_le_sInf (h : s ⊆ t) : sInf t ≤ sInf s :=
(isGLB_sInf s).mono (isGLB_sInf t) h
#align Inf_le_Inf sInf_le_sInf
@[simp]
theorem le_sInf_iff : a ≤ sInf s ↔ ∀ b ∈ s, a ≤ b :=
le_isGLB_iff (isGLB_sInf s)
#align le_Inf_iff le_sInf_iff
theorem sInf_le_iff : sInf s ≤ a ↔ ∀ b ∈ lowerBounds s, b ≤ a :=
⟨fun h _ hb => le_trans (le_sInf hb) h, fun hb => hb _ fun _ => sInf_le⟩
#align Inf_le_iff sInf_le_iff
theorem iInf_le_iff {s : ι → α} : iInf s ≤ a ↔ ∀ b, (∀ i, b ≤ s i) → b ≤ a := by
simp [iInf, sInf_le_iff, lowerBounds]
#align infi_le_iff iInf_le_iff
theorem sInf_le_sInf_of_forall_exists_le (h : ∀ x ∈ s, ∃ y ∈ t, y ≤ x) : sInf t ≤ sInf s :=
le_sInf fun x hx ↦ let ⟨_y, hyt, hyx⟩ := h x hx; sInf_le_of_le hyt hyx
#align Inf_le_Inf_of_forall_exists_le sInf_le_sInf_of_forall_exists_le
-- We will generalize this to conditionally complete lattices in `csInf_singleton`.
theorem sInf_singleton {a : α} : sInf {a} = a :=
isGLB_singleton.sInf_eq
#align Inf_singleton sInf_singleton
end
/-- A complete lattice is a bounded lattice which has suprema and infima for every subset. -/
class CompleteLattice (α : Type*) extends Lattice α, CompleteSemilatticeSup α,
CompleteSemilatticeInf α, Top α, Bot α where
/-- Any element is less than the top one. -/
protected le_top : ∀ x : α, x ≤ ⊤
/-- Any element is more than the bottom one. -/
protected bot_le : ∀ x : α, ⊥ ≤ x
#align complete_lattice CompleteLattice
-- see Note [lower instance priority]
instance (priority := 100) CompleteLattice.toBoundedOrder [h : CompleteLattice α] :
BoundedOrder α :=
{ h with }
#align complete_lattice.to_bounded_order CompleteLattice.toBoundedOrder
/-- Create a `CompleteLattice` from a `PartialOrder` and `InfSet`
that returns the greatest lower bound of a set. Usually this constructor provides
poor definitional equalities. If other fields are known explicitly, they should be
provided; for example, if `inf` is known explicitly, construct the `CompleteLattice`
instance as
```
instance : CompleteLattice my_T where
inf := better_inf
le_inf := ...
inf_le_right := ...
inf_le_left := ...
-- don't care to fix sup, sSup, bot, top
__ := completeLatticeOfInf my_T _
```
-/
def completeLatticeOfInf (α : Type*) [H1 : PartialOrder α] [H2 : InfSet α]
(isGLB_sInf : ∀ s : Set α, IsGLB s (sInf s)) : CompleteLattice α where
__ := H1; __ := H2
bot := sInf univ
bot_le x := (isGLB_sInf univ).1 trivial
top := sInf ∅
le_top a := (isGLB_sInf ∅).2 <| by simp
sup a b := sInf { x : α | a ≤ x ∧ b ≤ x }
inf a b := sInf {a, b}
le_inf a b c hab hac := by
apply (isGLB_sInf _).2
simp [*]
inf_le_right a b := (isGLB_sInf _).1 <| mem_insert_of_mem _ <| mem_singleton _
inf_le_left a b := (isGLB_sInf _).1 <| mem_insert _ _
sup_le a b c hac hbc := (isGLB_sInf _).1 <| by simp [*]
le_sup_left a b := (isGLB_sInf _).2 fun x => And.left
le_sup_right a b := (isGLB_sInf _).2 fun x => And.right
le_sInf s a ha := (isGLB_sInf s).2 ha
sInf_le s a ha := (isGLB_sInf s).1 ha
sSup s := sInf (upperBounds s)
le_sSup s a ha := (isGLB_sInf (upperBounds s)).2 fun b hb => hb ha
sSup_le s a ha := (isGLB_sInf (upperBounds s)).1 ha
#align complete_lattice_of_Inf completeLatticeOfInf
/-- Any `CompleteSemilatticeInf` is in fact a `CompleteLattice`.
Note that this construction has bad definitional properties:
see the doc-string on `completeLatticeOfInf`.
-/
def completeLatticeOfCompleteSemilatticeInf (α : Type*) [CompleteSemilatticeInf α] :
CompleteLattice α :=
completeLatticeOfInf α fun s => isGLB_sInf s
#align complete_lattice_of_complete_semilattice_Inf completeLatticeOfCompleteSemilatticeInf
/-- Create a `CompleteLattice` from a `PartialOrder` and `SupSet`
that returns the least upper bound of a set. Usually this constructor provides
poor definitional equalities. If other fields are known explicitly, they should be
provided; for example, if `inf` is known explicitly, construct the `CompleteLattice`
instance as
```
instance : CompleteLattice my_T where
inf := better_inf
le_inf := ...
inf_le_right := ...
inf_le_left := ...
-- don't care to fix sup, sInf, bot, top
__ := completeLatticeOfSup my_T _
```
-/
def completeLatticeOfSup (α : Type*) [H1 : PartialOrder α] [H2 : SupSet α]
(isLUB_sSup : ∀ s : Set α, IsLUB s (sSup s)) : CompleteLattice α where
__ := H1; __ := H2
top := sSup univ
le_top x := (isLUB_sSup univ).1 trivial
bot := sSup ∅
bot_le x := (isLUB_sSup ∅).2 <| by simp
sup a b := sSup {a, b}
sup_le a b c hac hbc := (isLUB_sSup _).2 (by simp [*])
le_sup_left a b := (isLUB_sSup _).1 <| mem_insert _ _
le_sup_right a b := (isLUB_sSup _).1 <| mem_insert_of_mem _ <| mem_singleton _
inf a b := sSup { x | x ≤ a ∧ x ≤ b }
le_inf a b c hab hac := (isLUB_sSup _).1 <| by simp [*]
inf_le_left a b := (isLUB_sSup _).2 fun x => And.left
inf_le_right a b := (isLUB_sSup _).2 fun x => And.right
sInf s := sSup (lowerBounds s)
sSup_le s a ha := (isLUB_sSup s).2 ha
le_sSup s a ha := (isLUB_sSup s).1 ha
sInf_le s a ha := (isLUB_sSup (lowerBounds s)).2 fun b hb => hb ha
le_sInf s a ha := (isLUB_sSup (lowerBounds s)).1 ha
#align complete_lattice_of_Sup completeLatticeOfSup
/-- Any `CompleteSemilatticeSup` is in fact a `CompleteLattice`.
Note that this construction has bad definitional properties:
see the doc-string on `completeLatticeOfSup`.
-/
def completeLatticeOfCompleteSemilatticeSup (α : Type*) [CompleteSemilatticeSup α] :
CompleteLattice α :=
completeLatticeOfSup α fun s => isLUB_sSup s
#align complete_lattice_of_complete_semilattice_Sup completeLatticeOfCompleteSemilatticeSup
-- Porting note: as we cannot rename fields while extending,
-- `CompleteLinearOrder` does not directly extend `LinearOrder`.
-- Instead we add the fields by hand, and write a manual instance.
/-- A complete linear order is a linear order whose lattice structure is complete. -/
class CompleteLinearOrder (α : Type*) extends CompleteLattice α where
/-- A linear order is total. -/
le_total (a b : α) : a ≤ b ∨ b ≤ a
/-- In a linearly ordered type, we assume the order relations are all decidable. -/
decidableLE : DecidableRel (· ≤ · : α → α → Prop)
/-- In a linearly ordered type, we assume the order relations are all decidable. -/
decidableEq : DecidableEq α := @decidableEqOfDecidableLE _ _ decidableLE
/-- In a linearly ordered type, we assume the order relations are all decidable. -/
decidableLT : DecidableRel (· < · : α → α → Prop) :=
@decidableLTOfDecidableLE _ _ decidableLE
#align complete_linear_order CompleteLinearOrder
instance CompleteLinearOrder.toLinearOrder [i : CompleteLinearOrder α] : LinearOrder α where
__ := i
min := Inf.inf
max := Sup.sup
min_def a b := by
split_ifs with h
· simp [h]
· simp [(CompleteLinearOrder.le_total a b).resolve_left h]
max_def a b := by
split_ifs with h
· simp [h]
· simp [(CompleteLinearOrder.le_total a b).resolve_left h]
namespace OrderDual
instance instCompleteLattice [CompleteLattice α] : CompleteLattice αᵒᵈ where
__ := instBoundedOrder α
le_sSup := @CompleteLattice.sInf_le α _
sSup_le := @CompleteLattice.le_sInf α _
sInf_le := @CompleteLattice.le_sSup α _
le_sInf := @CompleteLattice.sSup_le α _
instance instCompleteLinearOrder [CompleteLinearOrder α] : CompleteLinearOrder αᵒᵈ where
__ := instCompleteLattice
__ := instLinearOrder α
end OrderDual
open OrderDual
section
variable [CompleteLattice α] {s t : Set α} {a b : α}
@[simp]
theorem toDual_sSup (s : Set α) : toDual (sSup s) = sInf (ofDual ⁻¹' s) :=
rfl
#align to_dual_Sup toDual_sSup
@[simp]
theorem toDual_sInf (s : Set α) : toDual (sInf s) = sSup (ofDual ⁻¹' s) :=
rfl
#align to_dual_Inf toDual_sInf
@[simp]
theorem ofDual_sSup (s : Set αᵒᵈ) : ofDual (sSup s) = sInf (toDual ⁻¹' s) :=
rfl
#align of_dual_Sup ofDual_sSup
@[simp]
theorem ofDual_sInf (s : Set αᵒᵈ) : ofDual (sInf s) = sSup (toDual ⁻¹' s) :=
rfl
#align of_dual_Inf ofDual_sInf
@[simp]
theorem toDual_iSup (f : ι → α) : toDual (⨆ i, f i) = ⨅ i, toDual (f i) :=
rfl
#align to_dual_supr toDual_iSup
@[simp]
theorem toDual_iInf (f : ι → α) : toDual (⨅ i, f i) = ⨆ i, toDual (f i) :=
rfl
#align to_dual_infi toDual_iInf
@[simp]
theorem ofDual_iSup (f : ι → αᵒᵈ) : ofDual (⨆ i, f i) = ⨅ i, ofDual (f i) :=
rfl
#align of_dual_supr ofDual_iSup
@[simp]
theorem ofDual_iInf (f : ι → αᵒᵈ) : ofDual (⨅ i, f i) = ⨆ i, ofDual (f i) :=
rfl
#align of_dual_infi ofDual_iInf
theorem sInf_le_sSup (hs : s.Nonempty) : sInf s ≤ sSup s :=
isGLB_le_isLUB (isGLB_sInf s) (isLUB_sSup s) hs
#align Inf_le_Sup sInf_le_sSup
theorem sSup_union {s t : Set α} : sSup (s ∪ t) = sSup s ⊔ sSup t :=
((isLUB_sSup s).union (isLUB_sSup t)).sSup_eq
#align Sup_union sSup_union
theorem sInf_union {s t : Set α} : sInf (s ∪ t) = sInf s ⊓ sInf t :=
((isGLB_sInf s).union (isGLB_sInf t)).sInf_eq
#align Inf_union sInf_union
theorem sSup_inter_le {s t : Set α} : sSup (s ∩ t) ≤ sSup s ⊓ sSup t :=
sSup_le fun _ hb => le_inf (le_sSup hb.1) (le_sSup hb.2)
#align Sup_inter_le sSup_inter_le
theorem le_sInf_inter {s t : Set α} : sInf s ⊔ sInf t ≤ sInf (s ∩ t) :=
@sSup_inter_le αᵒᵈ _ _ _
#align le_Inf_inter le_sInf_inter
@[simp]
theorem sSup_empty : sSup ∅ = (⊥ : α) :=
(@isLUB_empty α _ _).sSup_eq
#align Sup_empty sSup_empty
@[simp]
theorem sInf_empty : sInf ∅ = (⊤ : α) :=
(@isGLB_empty α _ _).sInf_eq
#align Inf_empty sInf_empty
@[simp]
theorem sSup_univ : sSup univ = (⊤ : α) :=
(@isLUB_univ α _ _).sSup_eq
#align Sup_univ sSup_univ
@[simp]
theorem sInf_univ : sInf univ = (⊥ : α) :=
(@isGLB_univ α _ _).sInf_eq
#align Inf_univ sInf_univ
-- TODO(Jeremy): get this automatically
@[simp]
theorem sSup_insert {a : α} {s : Set α} : sSup (insert a s) = a ⊔ sSup s :=
((isLUB_sSup s).insert a).sSup_eq
#align Sup_insert sSup_insert
@[simp]
theorem sInf_insert {a : α} {s : Set α} : sInf (insert a s) = a ⊓ sInf s :=
((isGLB_sInf s).insert a).sInf_eq
#align Inf_insert sInf_insert
theorem sSup_le_sSup_of_subset_insert_bot (h : s ⊆ insert ⊥ t) : sSup s ≤ sSup t :=
(sSup_le_sSup h).trans_eq (sSup_insert.trans (bot_sup_eq _))
#align Sup_le_Sup_of_subset_insert_bot sSup_le_sSup_of_subset_insert_bot
theorem sInf_le_sInf_of_subset_insert_top (h : s ⊆ insert ⊤ t) : sInf t ≤ sInf s :=
(sInf_le_sInf h).trans_eq' (sInf_insert.trans (top_inf_eq _)).symm
#align Inf_le_Inf_of_subset_insert_top sInf_le_sInf_of_subset_insert_top
@[simp]
theorem sSup_diff_singleton_bot (s : Set α) : sSup (s \ {⊥}) = sSup s :=
(sSup_le_sSup diff_subset).antisymm <|
sSup_le_sSup_of_subset_insert_bot <| subset_insert_diff_singleton _ _
#align Sup_diff_singleton_bot sSup_diff_singleton_bot
@[simp]
theorem sInf_diff_singleton_top (s : Set α) : sInf (s \ {⊤}) = sInf s :=
@sSup_diff_singleton_bot αᵒᵈ _ s
#align Inf_diff_singleton_top sInf_diff_singleton_top
theorem sSup_pair {a b : α} : sSup {a, b} = a ⊔ b :=
(@isLUB_pair α _ a b).sSup_eq
#align Sup_pair sSup_pair
theorem sInf_pair {a b : α} : sInf {a, b} = a ⊓ b :=
(@isGLB_pair α _ a b).sInf_eq
#align Inf_pair sInf_pair
@[simp]
theorem sSup_eq_bot : sSup s = ⊥ ↔ ∀ a ∈ s, a = ⊥ :=
⟨fun h _ ha => bot_unique <| h ▸ le_sSup ha, fun h =>
bot_unique <| sSup_le fun a ha => le_bot_iff.2 <| h a ha⟩
#align Sup_eq_bot sSup_eq_bot
@[simp]
theorem sInf_eq_top : sInf s = ⊤ ↔ ∀ a ∈ s, a = ⊤ :=
@sSup_eq_bot αᵒᵈ _ _
#align Inf_eq_top sInf_eq_top
theorem eq_singleton_bot_of_sSup_eq_bot_of_nonempty {s : Set α} (h_sup : sSup s = ⊥)
(hne : s.Nonempty) : s = {⊥} := by
rw [Set.eq_singleton_iff_nonempty_unique_mem]
rw [sSup_eq_bot] at h_sup
exact ⟨hne, h_sup⟩
#align eq_singleton_bot_of_Sup_eq_bot_of_nonempty eq_singleton_bot_of_sSup_eq_bot_of_nonempty
theorem eq_singleton_top_of_sInf_eq_top_of_nonempty : sInf s = ⊤ → s.Nonempty → s = {⊤} :=
@eq_singleton_bot_of_sSup_eq_bot_of_nonempty αᵒᵈ _ _
#align eq_singleton_top_of_Inf_eq_top_of_nonempty eq_singleton_top_of_sInf_eq_top_of_nonempty
/-- Introduction rule to prove that `b` is the supremum of `s`: it suffices to check that `b`
is larger than all elements of `s`, and that this is not the case of any `w < b`.
See `csSup_eq_of_forall_le_of_forall_lt_exists_gt` for a version in conditionally complete
lattices. -/
theorem sSup_eq_of_forall_le_of_forall_lt_exists_gt (h₁ : ∀ a ∈ s, a ≤ b)
(h₂ : ∀ w, w < b → ∃ a ∈ s, w < a) : sSup s = b :=
(sSup_le h₁).eq_of_not_lt fun h =>
let ⟨_, ha, ha'⟩ := h₂ _ h
((le_sSup ha).trans_lt ha').false
#align Sup_eq_of_forall_le_of_forall_lt_exists_gt sSup_eq_of_forall_le_of_forall_lt_exists_gt
/-- Introduction rule to prove that `b` is the infimum of `s`: it suffices to check that `b`
is smaller than all elements of `s`, and that this is not the case of any `w > b`.
See `csInf_eq_of_forall_ge_of_forall_gt_exists_lt` for a version in conditionally complete
lattices. -/
theorem sInf_eq_of_forall_ge_of_forall_gt_exists_lt :
(∀ a ∈ s, b ≤ a) → (∀ w, b < w → ∃ a ∈ s, a < w) → sInf s = b :=
@sSup_eq_of_forall_le_of_forall_lt_exists_gt αᵒᵈ _ _ _
#align Inf_eq_of_forall_ge_of_forall_gt_exists_lt sInf_eq_of_forall_ge_of_forall_gt_exists_lt
end
section CompleteLinearOrder
variable [CompleteLinearOrder α] {s t : Set α} {a b : α}
theorem lt_sSup_iff : b < sSup s ↔ ∃ a ∈ s, b < a :=
lt_isLUB_iff <| isLUB_sSup s
#align lt_Sup_iff lt_sSup_iff
theorem sInf_lt_iff : sInf s < b ↔ ∃ a ∈ s, a < b :=
isGLB_lt_iff <| isGLB_sInf s
#align Inf_lt_iff sInf_lt_iff
theorem sSup_eq_top : sSup s = ⊤ ↔ ∀ b < ⊤, ∃ a ∈ s, b < a :=
⟨fun h _ hb => lt_sSup_iff.1 <| hb.trans_eq h.symm, fun h =>
top_unique <|
le_of_not_gt fun h' =>
let ⟨_, ha, h⟩ := h _ h'
(h.trans_le <| le_sSup ha).false⟩
#align Sup_eq_top sSup_eq_top
theorem sInf_eq_bot : sInf s = ⊥ ↔ ∀ b > ⊥, ∃ a ∈ s, a < b :=
@sSup_eq_top αᵒᵈ _ _
#align Inf_eq_bot sInf_eq_bot
theorem lt_iSup_iff {f : ι → α} : a < iSup f ↔ ∃ i, a < f i :=
lt_sSup_iff.trans exists_range_iff
#align lt_supr_iff lt_iSup_iff
theorem iInf_lt_iff {f : ι → α} : iInf f < a ↔ ∃ i, f i < a :=
sInf_lt_iff.trans exists_range_iff
#align infi_lt_iff iInf_lt_iff
end CompleteLinearOrder
/-
### iSup & iInf
-/
section SupSet
variable [SupSet α] {f g : ι → α}
theorem sSup_range : sSup (range f) = iSup f :=
rfl
#align Sup_range sSup_range
theorem sSup_eq_iSup' (s : Set α) : sSup s = ⨆ a : s, (a : α) := by rw [iSup, Subtype.range_coe]
#align Sup_eq_supr' sSup_eq_iSup'
theorem iSup_congr (h : ∀ i, f i = g i) : ⨆ i, f i = ⨆ i, g i :=
congr_arg _ <| funext h
#align supr_congr iSup_congr
theorem biSup_congr {p : ι → Prop} (h : ∀ i, p i → f i = g i) :
⨆ (i) (_ : p i), f i = ⨆ (i) (_ : p i), g i :=
iSup_congr fun i ↦ iSup_congr (h i)
theorem biSup_congr' {p : ι → Prop} {f g : (i : ι) → p i → α}
(h : ∀ i (hi : p i), f i hi = g i hi) :
⨆ i, ⨆ (hi : p i), f i hi = ⨆ i, ⨆ (hi : p i), g i hi := by
congr; ext i; congr; ext hi; exact h i hi
theorem Function.Surjective.iSup_comp {f : ι → ι'} (hf : Surjective f) (g : ι' → α) :
⨆ x, g (f x) = ⨆ y, g y := by
simp only [iSup.eq_1]
congr
exact hf.range_comp g
#align function.surjective.supr_comp Function.Surjective.iSup_comp
theorem Equiv.iSup_comp {g : ι' → α} (e : ι ≃ ι') : ⨆ x, g (e x) = ⨆ y, g y :=
e.surjective.iSup_comp _
#align equiv.supr_comp Equiv.iSup_comp
protected theorem Function.Surjective.iSup_congr {g : ι' → α} (h : ι → ι') (h1 : Surjective h)
(h2 : ∀ x, g (h x) = f x) : ⨆ x, f x = ⨆ y, g y := by
convert h1.iSup_comp g
exact (h2 _).symm
#align function.surjective.supr_congr Function.Surjective.iSup_congr
protected theorem Equiv.iSup_congr {g : ι' → α} (e : ι ≃ ι') (h : ∀ x, g (e x) = f x) :
⨆ x, f x = ⨆ y, g y :=
e.surjective.iSup_congr _ h
#align equiv.supr_congr Equiv.iSup_congr
@[congr]
theorem iSup_congr_Prop {p q : Prop} {f₁ : p → α} {f₂ : q → α} (pq : p ↔ q)
(f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iSup f₁ = iSup f₂ := by
obtain rfl := propext pq
congr with x
apply f
#align supr_congr_Prop iSup_congr_Prop
theorem iSup_plift_up (f : PLift ι → α) : ⨆ i, f (PLift.up i) = ⨆ i, f i :=
(PLift.up_surjective.iSup_congr _) fun _ => rfl
#align supr_plift_up iSup_plift_up
theorem iSup_plift_down (f : ι → α) : ⨆ i, f (PLift.down i) = ⨆ i, f i :=
(PLift.down_surjective.iSup_congr _) fun _ => rfl
#align supr_plift_down iSup_plift_down
theorem iSup_range' (g : β → α) (f : ι → β) : ⨆ b : range f, g b = ⨆ i, g (f i) := by
rw [iSup, iSup, ← image_eq_range, ← range_comp]
rfl
#align supr_range' iSup_range'
theorem sSup_image' {s : Set β} {f : β → α} : sSup (f '' s) = ⨆ a : s, f a := by
rw [iSup, image_eq_range]
#align Sup_image' sSup_image'
end SupSet
section InfSet
variable [InfSet α] {f g : ι → α}
theorem sInf_range : sInf (range f) = iInf f :=
rfl
#align Inf_range sInf_range
theorem sInf_eq_iInf' (s : Set α) : sInf s = ⨅ a : s, (a : α) :=
@sSup_eq_iSup' αᵒᵈ _ _
#align Inf_eq_infi' sInf_eq_iInf'
theorem iInf_congr (h : ∀ i, f i = g i) : ⨅ i, f i = ⨅ i, g i :=
congr_arg _ <| funext h
#align infi_congr iInf_congr
theorem biInf_congr {p : ι → Prop} (h : ∀ i, p i → f i = g i) :
⨅ (i) (_ : p i), f i = ⨅ (i) (_ : p i), g i :=
biSup_congr (α := αᵒᵈ) h
theorem biInf_congr' {p : ι → Prop} {f g : (i : ι) → p i → α}
(h : ∀ i (hi : p i), f i hi = g i hi) :
⨅ i, ⨅ (hi : p i), f i hi = ⨅ i, ⨅ (hi : p i), g i hi := by
congr; ext i; congr; ext hi; exact h i hi
theorem Function.Surjective.iInf_comp {f : ι → ι'} (hf : Surjective f) (g : ι' → α) :
⨅ x, g (f x) = ⨅ y, g y :=
@Function.Surjective.iSup_comp αᵒᵈ _ _ _ f hf g
#align function.surjective.infi_comp Function.Surjective.iInf_comp
theorem Equiv.iInf_comp {g : ι' → α} (e : ι ≃ ι') : ⨅ x, g (e x) = ⨅ y, g y :=
@Equiv.iSup_comp αᵒᵈ _ _ _ _ e
#align equiv.infi_comp Equiv.iInf_comp
protected theorem Function.Surjective.iInf_congr {g : ι' → α} (h : ι → ι') (h1 : Surjective h)
(h2 : ∀ x, g (h x) = f x) : ⨅ x, f x = ⨅ y, g y :=
@Function.Surjective.iSup_congr αᵒᵈ _ _ _ _ _ h h1 h2
#align function.surjective.infi_congr Function.Surjective.iInf_congr
protected theorem Equiv.iInf_congr {g : ι' → α} (e : ι ≃ ι') (h : ∀ x, g (e x) = f x) :
⨅ x, f x = ⨅ y, g y :=
@Equiv.iSup_congr αᵒᵈ _ _ _ _ _ e h
#align equiv.infi_congr Equiv.iInf_congr
@[congr]
theorem iInf_congr_Prop {p q : Prop} {f₁ : p → α} {f₂ : q → α} (pq : p ↔ q)
(f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iInf f₁ = iInf f₂ :=
@iSup_congr_Prop αᵒᵈ _ p q f₁ f₂ pq f
#align infi_congr_Prop iInf_congr_Prop
theorem iInf_plift_up (f : PLift ι → α) : ⨅ i, f (PLift.up i) = ⨅ i, f i :=
(PLift.up_surjective.iInf_congr _) fun _ => rfl
#align infi_plift_up iInf_plift_up
theorem iInf_plift_down (f : ι → α) : ⨅ i, f (PLift.down i) = ⨅ i, f i :=
(PLift.down_surjective.iInf_congr _) fun _ => rfl
#align infi_plift_down iInf_plift_down
theorem iInf_range' (g : β → α) (f : ι → β) : ⨅ b : range f, g b = ⨅ i, g (f i) :=
@iSup_range' αᵒᵈ _ _ _ _ _
#align infi_range' iInf_range'
theorem sInf_image' {s : Set β} {f : β → α} : sInf (f '' s) = ⨅ a : s, f a :=
@sSup_image' αᵒᵈ _ _ _ _
#align Inf_image' sInf_image'
end InfSet
section
variable [CompleteLattice α] {f g s t : ι → α} {a b : α}
theorem le_iSup (f : ι → α) (i : ι) : f i ≤ iSup f :=
le_sSup ⟨i, rfl⟩
#align le_supr le_iSup
theorem iInf_le (f : ι → α) (i : ι) : iInf f ≤ f i :=
sInf_le ⟨i, rfl⟩
#align infi_le iInf_le
theorem le_iSup' (f : ι → α) (i : ι) : f i ≤ iSup f :=
le_sSup ⟨i, rfl⟩
#align le_supr' le_iSup'
theorem iInf_le' (f : ι → α) (i : ι) : iInf f ≤ f i :=
sInf_le ⟨i, rfl⟩
#align infi_le' iInf_le'
theorem isLUB_iSup : IsLUB (range f) (⨆ j, f j) :=
isLUB_sSup _
#align is_lub_supr isLUB_iSup
theorem isGLB_iInf : IsGLB (range f) (⨅ j, f j) :=
isGLB_sInf _
#align is_glb_infi isGLB_iInf
theorem IsLUB.iSup_eq (h : IsLUB (range f) a) : ⨆ j, f j = a :=
h.sSup_eq
#align is_lub.supr_eq IsLUB.iSup_eq
theorem IsGLB.iInf_eq (h : IsGLB (range f) a) : ⨅ j, f j = a :=
h.sInf_eq
#align is_glb.infi_eq IsGLB.iInf_eq
theorem le_iSup_of_le (i : ι) (h : a ≤ f i) : a ≤ iSup f :=
h.trans <| le_iSup _ i
#align le_supr_of_le le_iSup_of_le
theorem iInf_le_of_le (i : ι) (h : f i ≤ a) : iInf f ≤ a :=
(iInf_le _ i).trans h
#align infi_le_of_le iInf_le_of_le
theorem le_iSup₂ {f : ∀ i, κ i → α} (i : ι) (j : κ i) : f i j ≤ ⨆ (i) (j), f i j :=
le_iSup_of_le i <| le_iSup (f i) j
#align le_supr₂ le_iSup₂
theorem iInf₂_le {f : ∀ i, κ i → α} (i : ι) (j : κ i) : ⨅ (i) (j), f i j ≤ f i j :=
iInf_le_of_le i <| iInf_le (f i) j
#align infi₂_le iInf₂_le
theorem le_iSup₂_of_le {f : ∀ i, κ i → α} (i : ι) (j : κ i) (h : a ≤ f i j) :
a ≤ ⨆ (i) (j), f i j :=
h.trans <| le_iSup₂ i j
#align le_supr₂_of_le le_iSup₂_of_le
theorem iInf₂_le_of_le {f : ∀ i, κ i → α} (i : ι) (j : κ i) (h : f i j ≤ a) :
⨅ (i) (j), f i j ≤ a :=
(iInf₂_le i j).trans h
#align infi₂_le_of_le iInf₂_le_of_le
theorem iSup_le (h : ∀ i, f i ≤ a) : iSup f ≤ a :=
sSup_le fun _ ⟨i, Eq⟩ => Eq ▸ h i
#align supr_le iSup_le
theorem le_iInf (h : ∀ i, a ≤ f i) : a ≤ iInf f :=
le_sInf fun _ ⟨i, Eq⟩ => Eq ▸ h i
#align le_infi le_iInf
theorem iSup₂_le {f : ∀ i, κ i → α} (h : ∀ i j, f i j ≤ a) : ⨆ (i) (j), f i j ≤ a :=
iSup_le fun i => iSup_le <| h i
#align supr₂_le iSup₂_le
theorem le_iInf₂ {f : ∀ i, κ i → α} (h : ∀ i j, a ≤ f i j) : a ≤ ⨅ (i) (j), f i j :=
le_iInf fun i => le_iInf <| h i
#align le_infi₂ le_iInf₂
theorem iSup₂_le_iSup (κ : ι → Sort*) (f : ι → α) : ⨆ (i) (_ : κ i), f i ≤ ⨆ i, f i :=
iSup₂_le fun i _ => le_iSup f i
#align supr₂_le_supr iSup₂_le_iSup
theorem iInf_le_iInf₂ (κ : ι → Sort*) (f : ι → α) : ⨅ i, f i ≤ ⨅ (i) (_ : κ i), f i :=
le_iInf₂ fun i _ => iInf_le f i
#align infi_le_infi₂ iInf_le_iInf₂
@[gcongr]
theorem iSup_mono (h : ∀ i, f i ≤ g i) : iSup f ≤ iSup g :=
iSup_le fun i => le_iSup_of_le i <| h i
#align supr_mono iSup_mono
@[gcongr]
theorem iInf_mono (h : ∀ i, f i ≤ g i) : iInf f ≤ iInf g :=
le_iInf fun i => iInf_le_of_le i <| h i
#align infi_mono iInf_mono
theorem iSup₂_mono {f g : ∀ i, κ i → α} (h : ∀ i j, f i j ≤ g i j) :
⨆ (i) (j), f i j ≤ ⨆ (i) (j), g i j :=
iSup_mono fun i => iSup_mono <| h i
#align supr₂_mono iSup₂_mono
theorem iInf₂_mono {f g : ∀ i, κ i → α} (h : ∀ i j, f i j ≤ g i j) :
⨅ (i) (j), f i j ≤ ⨅ (i) (j), g i j :=
iInf_mono fun i => iInf_mono <| h i
#align infi₂_mono iInf₂_mono
theorem iSup_mono' {g : ι' → α} (h : ∀ i, ∃ i', f i ≤ g i') : iSup f ≤ iSup g :=
iSup_le fun i => Exists.elim (h i) le_iSup_of_le
#align supr_mono' iSup_mono'
theorem iInf_mono' {g : ι' → α} (h : ∀ i', ∃ i, f i ≤ g i') : iInf f ≤ iInf g :=
le_iInf fun i' => Exists.elim (h i') iInf_le_of_le
#align infi_mono' iInf_mono'
theorem iSup₂_mono' {f : ∀ i, κ i → α} {g : ∀ i', κ' i' → α} (h : ∀ i j, ∃ i' j', f i j ≤ g i' j') :
⨆ (i) (j), f i j ≤ ⨆ (i) (j), g i j :=
iSup₂_le fun i j =>
let ⟨i', j', h⟩ := h i j
le_iSup₂_of_le i' j' h
#align supr₂_mono' iSup₂_mono'
theorem iInf₂_mono' {f : ∀ i, κ i → α} {g : ∀ i', κ' i' → α} (h : ∀ i j, ∃ i' j', f i' j' ≤ g i j) :
⨅ (i) (j), f i j ≤ ⨅ (i) (j), g i j :=
le_iInf₂ fun i j =>
let ⟨i', j', h⟩ := h i j
iInf₂_le_of_le i' j' h
#align infi₂_mono' iInf₂_mono'
theorem iSup_const_mono (h : ι → ι') : ⨆ _ : ι, a ≤ ⨆ _ : ι', a :=
iSup_le <| le_iSup _ ∘ h
#align supr_const_mono iSup_const_mono
theorem iInf_const_mono (h : ι' → ι) : ⨅ _ : ι, a ≤ ⨅ _ : ι', a :=
le_iInf <| iInf_le _ ∘ h
#align infi_const_mono iInf_const_mono
theorem iSup_iInf_le_iInf_iSup (f : ι → ι' → α) : ⨆ i, ⨅ j, f i j ≤ ⨅ j, ⨆ i, f i j :=
iSup_le fun i => iInf_mono fun j => le_iSup (fun i => f i j) i
#align supr_infi_le_infi_supr iSup_iInf_le_iInf_iSup
theorem biSup_mono {p q : ι → Prop} (hpq : ∀ i, p i → q i) :
⨆ (i) (_ : p i), f i ≤ ⨆ (i) (_ : q i), f i :=
iSup_mono fun i => iSup_const_mono (hpq i)
#align bsupr_mono biSup_mono
theorem biInf_mono {p q : ι → Prop} (hpq : ∀ i, p i → q i) :
⨅ (i) (_ : q i), f i ≤ ⨅ (i) (_ : p i), f i :=
iInf_mono fun i => iInf_const_mono (hpq i)
#align binfi_mono biInf_mono
@[simp]
theorem iSup_le_iff : iSup f ≤ a ↔ ∀ i, f i ≤ a :=
(isLUB_le_iff isLUB_iSup).trans forall_mem_range
#align supr_le_iff iSup_le_iff
@[simp]
theorem le_iInf_iff : a ≤ iInf f ↔ ∀ i, a ≤ f i :=
(le_isGLB_iff isGLB_iInf).trans forall_mem_range
#align le_infi_iff le_iInf_iff
theorem iSup₂_le_iff {f : ∀ i, κ i → α} : ⨆ (i) (j), f i j ≤ a ↔ ∀ i j, f i j ≤ a := by
simp_rw [iSup_le_iff]
#align supr₂_le_iff iSup₂_le_iff
theorem le_iInf₂_iff {f : ∀ i, κ i → α} : (a ≤ ⨅ (i) (j), f i j) ↔ ∀ i j, a ≤ f i j := by
simp_rw [le_iInf_iff]
#align le_infi₂_iff le_iInf₂_iff
theorem iSup_lt_iff : iSup f < a ↔ ∃ b, b < a ∧ ∀ i, f i ≤ b :=
⟨fun h => ⟨iSup f, h, le_iSup f⟩, fun ⟨_, h, hb⟩ => (iSup_le hb).trans_lt h⟩
#align supr_lt_iff iSup_lt_iff
theorem lt_iInf_iff : a < iInf f ↔ ∃ b, a < b ∧ ∀ i, b ≤ f i :=
⟨fun h => ⟨iInf f, h, iInf_le f⟩, fun ⟨_, h, hb⟩ => h.trans_le <| le_iInf hb⟩
#align lt_infi_iff lt_iInf_iff
theorem sSup_eq_iSup {s : Set α} : sSup s = ⨆ a ∈ s, a :=
le_antisymm (sSup_le le_iSup₂) (iSup₂_le fun _ => le_sSup)
#align Sup_eq_supr sSup_eq_iSup
theorem sInf_eq_iInf {s : Set α} : sInf s = ⨅ a ∈ s, a :=
@sSup_eq_iSup αᵒᵈ _ _
#align Inf_eq_infi sInf_eq_iInf
theorem Monotone.le_map_iSup [CompleteLattice β] {f : α → β} (hf : Monotone f) :
⨆ i, f (s i) ≤ f (iSup s) :=
iSup_le fun _ => hf <| le_iSup _ _
#align monotone.le_map_supr Monotone.le_map_iSup
theorem Antitone.le_map_iInf [CompleteLattice β] {f : α → β} (hf : Antitone f) :
⨆ i, f (s i) ≤ f (iInf s) :=
hf.dual_left.le_map_iSup
#align antitone.le_map_infi Antitone.le_map_iInf
theorem Monotone.le_map_iSup₂ [CompleteLattice β] {f : α → β} (hf : Monotone f) (s : ∀ i, κ i → α) :
⨆ (i) (j), f (s i j) ≤ f (⨆ (i) (j), s i j) :=
iSup₂_le fun _ _ => hf <| le_iSup₂ _ _
#align monotone.le_map_supr₂ Monotone.le_map_iSup₂
theorem Antitone.le_map_iInf₂ [CompleteLattice β] {f : α → β} (hf : Antitone f) (s : ∀ i, κ i → α) :
⨆ (i) (j), f (s i j) ≤ f (⨅ (i) (j), s i j) :=
hf.dual_left.le_map_iSup₂ _
#align antitone.le_map_infi₂ Antitone.le_map_iInf₂
theorem Monotone.le_map_sSup [CompleteLattice β] {s : Set α} {f : α → β} (hf : Monotone f) :
⨆ a ∈ s, f a ≤ f (sSup s) := by rw [sSup_eq_iSup]; exact hf.le_map_iSup₂ _
#align monotone.le_map_Sup Monotone.le_map_sSup
theorem Antitone.le_map_sInf [CompleteLattice β] {s : Set α} {f : α → β} (hf : Antitone f) :
⨆ a ∈ s, f a ≤ f (sInf s) :=
hf.dual_left.le_map_sSup
#align antitone.le_map_Inf Antitone.le_map_sInf
theorem OrderIso.map_iSup [CompleteLattice β] (f : α ≃o β) (x : ι → α) :
f (⨆ i, x i) = ⨆ i, f (x i) :=
eq_of_forall_ge_iff <| f.surjective.forall.2
fun x => by simp only [f.le_iff_le, iSup_le_iff]
#align order_iso.map_supr OrderIso.map_iSup
theorem OrderIso.map_iInf [CompleteLattice β] (f : α ≃o β) (x : ι → α) :
f (⨅ i, x i) = ⨅ i, f (x i) :=
OrderIso.map_iSup f.dual _
#align order_iso.map_infi OrderIso.map_iInf
theorem OrderIso.map_sSup [CompleteLattice β] (f : α ≃o β) (s : Set α) :
f (sSup s) = ⨆ a ∈ s, f a := by
simp only [sSup_eq_iSup, OrderIso.map_iSup]
#align order_iso.map_Sup OrderIso.map_sSup
theorem OrderIso.map_sInf [CompleteLattice β] (f : α ≃o β) (s : Set α) :
f (sInf s) = ⨅ a ∈ s, f a :=
OrderIso.map_sSup f.dual _
#align order_iso.map_Inf OrderIso.map_sInf
theorem iSup_comp_le {ι' : Sort*} (f : ι' → α) (g : ι → ι') : ⨆ x, f (g x) ≤ ⨆ y, f y :=
iSup_mono' fun _ => ⟨_, le_rfl⟩
#align supr_comp_le iSup_comp_le
theorem le_iInf_comp {ι' : Sort*} (f : ι' → α) (g : ι → ι') : ⨅ y, f y ≤ ⨅ x, f (g x) :=
iInf_mono' fun _ => ⟨_, le_rfl⟩
#align le_infi_comp le_iInf_comp
theorem Monotone.iSup_comp_eq [Preorder β] {f : β → α} (hf : Monotone f) {s : ι → β}
(hs : ∀ x, ∃ i, x ≤ s i) : ⨆ x, f (s x) = ⨆ y, f y :=
le_antisymm (iSup_comp_le _ _) (iSup_mono' fun x => (hs x).imp fun _ hi => hf hi)
#align monotone.supr_comp_eq Monotone.iSup_comp_eq
theorem Monotone.iInf_comp_eq [Preorder β] {f : β → α} (hf : Monotone f) {s : ι → β}
(hs : ∀ x, ∃ i, s i ≤ x) : ⨅ x, f (s x) = ⨅ y, f y :=
le_antisymm (iInf_mono' fun x => (hs x).imp fun _ hi => hf hi) (le_iInf_comp _ _)
#align monotone.infi_comp_eq Monotone.iInf_comp_eq
theorem Antitone.map_iSup_le [CompleteLattice β] {f : α → β} (hf : Antitone f) :
f (iSup s) ≤ ⨅ i, f (s i) :=
le_iInf fun _ => hf <| le_iSup _ _
#align antitone.map_supr_le Antitone.map_iSup_le
theorem Monotone.map_iInf_le [CompleteLattice β] {f : α → β} (hf : Monotone f) :
f (iInf s) ≤ ⨅ i, f (s i) :=
hf.dual_left.map_iSup_le
#align monotone.map_infi_le Monotone.map_iInf_le
theorem Antitone.map_iSup₂_le [CompleteLattice β] {f : α → β} (hf : Antitone f) (s : ∀ i, κ i → α) :
f (⨆ (i) (j), s i j) ≤ ⨅ (i) (j), f (s i j) :=
hf.dual.le_map_iInf₂ _
#align antitone.map_supr₂_le Antitone.map_iSup₂_le
theorem Monotone.map_iInf₂_le [CompleteLattice β] {f : α → β} (hf : Monotone f) (s : ∀ i, κ i → α) :
f (⨅ (i) (j), s i j) ≤ ⨅ (i) (j), f (s i j) :=
hf.dual.le_map_iSup₂ _
#align monotone.map_infi₂_le Monotone.map_iInf₂_le
theorem Antitone.map_sSup_le [CompleteLattice β] {s : Set α} {f : α → β} (hf : Antitone f) :
f (sSup s) ≤ ⨅ a ∈ s, f a := by
rw [sSup_eq_iSup]
exact hf.map_iSup₂_le _
#align antitone.map_Sup_le Antitone.map_sSup_le
theorem Monotone.map_sInf_le [CompleteLattice β] {s : Set α} {f : α → β} (hf : Monotone f) :
f (sInf s) ≤ ⨅ a ∈ s, f a :=
hf.dual_left.map_sSup_le
#align monotone.map_Inf_le Monotone.map_sInf_le
theorem iSup_const_le : ⨆ _ : ι, a ≤ a :=
iSup_le fun _ => le_rfl
#align supr_const_le iSup_const_le
theorem le_iInf_const : a ≤ ⨅ _ : ι, a :=
le_iInf fun _ => le_rfl
#align le_infi_const le_iInf_const
-- We generalize this to conditionally complete lattices in `ciSup_const` and `ciInf_const`.
| Mathlib/Order/CompleteLattice.lean | 989 | 989 | theorem iSup_const [Nonempty ι] : ⨆ _ : ι, a = a := by | rw [iSup, range_const, sSup_singleton]
|
/-
Copyright (c) 2021 Kexing Ying. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying, Rémy Degenne
-/
import Mathlib.Probability.Process.Adapted
import Mathlib.MeasureTheory.Constructions.BorelSpace.Order
#align_import probability.process.stopping from "leanprover-community/mathlib"@"ba074af83b6cf54c3104e59402b39410ddbd6dca"
/-!
# Stopping times, stopped processes and stopped values
Definition and properties of stopping times.
## Main definitions
* `MeasureTheory.IsStoppingTime`: a stopping time with respect to some filtration `f` is a
function `τ` such that for all `i`, the preimage of `{j | j ≤ i}` along `τ` is
`f i`-measurable
* `MeasureTheory.IsStoppingTime.measurableSpace`: the σ-algebra associated with a stopping time
## Main results
* `ProgMeasurable.stoppedProcess`: the stopped process of a progressively measurable process is
progressively measurable.
* `memℒp_stoppedProcess`: if a process belongs to `ℒp` at every time in `ℕ`, then its stopped
process belongs to `ℒp` as well.
## Tags
stopping time, stochastic process
-/
open Filter Order TopologicalSpace
open scoped Classical MeasureTheory NNReal ENNReal Topology
namespace MeasureTheory
variable {Ω β ι : Type*} {m : MeasurableSpace Ω}
/-! ### Stopping times -/
/-- A stopping time with respect to some filtration `f` is a function
`τ` such that for all `i`, the preimage of `{j | j ≤ i}` along `τ` is measurable
with respect to `f i`.
Intuitively, the stopping time `τ` describes some stopping rule such that at time
`i`, we may determine it with the information we have at time `i`. -/
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
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)
#align measure_theory.is_stopping_time.measurable_set_lt_of_pred MeasureTheory.IsStoppingTime.measurableSet_lt_of_pred
end Preorder
section CountableStoppingTime
namespace IsStoppingTime
variable [PartialOrder ι] {τ : Ω → ι} {f : Filtration ι m}
protected theorem measurableSet_eq_of_countable_range (hτ : IsStoppingTime f τ)
(h_countable : (Set.range τ).Countable) (i : ι) : MeasurableSet[f i] {ω | τ ω = i} := by
have : {ω | τ ω = i} = {ω | τ ω ≤ i} \ ⋃ (j ∈ Set.range τ) (_ : j < i), {ω | τ ω ≤ j} := by
ext1 a
simp only [Set.mem_setOf_eq, Set.mem_range, Set.iUnion_exists, Set.iUnion_iUnion_eq',
Set.mem_diff, Set.mem_iUnion, exists_prop, not_exists, not_and, not_le]
constructor <;> intro h
· simp only [h, lt_iff_le_not_le, le_refl, and_imp, imp_self, imp_true_iff, and_self_iff]
· exact h.1.eq_or_lt.resolve_right fun h_lt => h.2 a h_lt le_rfl
rw [this]
refine (hτ.measurableSet_le i).diff ?_
refine MeasurableSet.biUnion h_countable fun j _ => ?_
rw [Set.iUnion_eq_if]
split_ifs with hji
· exact f.mono hji.le _ (hτ.measurableSet_le j)
· exact @MeasurableSet.empty _ (f i)
#align measure_theory.is_stopping_time.measurable_set_eq_of_countable_range MeasureTheory.IsStoppingTime.measurableSet_eq_of_countable_range
protected theorem measurableSet_eq_of_countable [Countable ι] (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[f i] {ω | τ ω = i} :=
hτ.measurableSet_eq_of_countable_range (Set.to_countable _) i
#align measure_theory.is_stopping_time.measurable_set_eq_of_countable MeasureTheory.IsStoppingTime.measurableSet_eq_of_countable
protected theorem measurableSet_lt_of_countable_range (hτ : IsStoppingTime f τ)
(h_countable : (Set.range τ).Countable) (i : ι) : MeasurableSet[f i] {ω | τ ω < i} := by
have : {ω | τ ω < i} = {ω | τ ω ≤ i} \ {ω | τ ω = i} := by ext1 ω; simp [lt_iff_le_and_ne]
rw [this]
exact (hτ.measurableSet_le i).diff (hτ.measurableSet_eq_of_countable_range h_countable i)
#align measure_theory.is_stopping_time.measurable_set_lt_of_countable_range MeasureTheory.IsStoppingTime.measurableSet_lt_of_countable_range
protected theorem measurableSet_lt_of_countable [Countable ι] (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[f i] {ω | τ ω < i} :=
hτ.measurableSet_lt_of_countable_range (Set.to_countable _) i
#align measure_theory.is_stopping_time.measurable_set_lt_of_countable MeasureTheory.IsStoppingTime.measurableSet_lt_of_countable
protected theorem measurableSet_ge_of_countable_range {ι} [LinearOrder ι] {τ : Ω → ι}
{f : Filtration ι m} (hτ : IsStoppingTime f τ) (h_countable : (Set.range τ).Countable) (i : ι) :
MeasurableSet[f i] {ω | i ≤ τ ω} := by
have : {ω | i ≤ τ ω} = {ω | τ ω < i}ᶜ := by
ext1 ω; simp only [Set.mem_setOf_eq, Set.mem_compl_iff, not_lt]
rw [this]
exact (hτ.measurableSet_lt_of_countable_range h_countable i).compl
#align measure_theory.is_stopping_time.measurable_set_ge_of_countable_range MeasureTheory.IsStoppingTime.measurableSet_ge_of_countable_range
protected theorem measurableSet_ge_of_countable {ι} [LinearOrder ι] {τ : Ω → ι} {f : Filtration ι m}
[Countable ι] (hτ : IsStoppingTime f τ) (i : ι) : MeasurableSet[f i] {ω | i ≤ τ ω} :=
hτ.measurableSet_ge_of_countable_range (Set.to_countable _) i
#align measure_theory.is_stopping_time.measurable_set_ge_of_countable MeasureTheory.IsStoppingTime.measurableSet_ge_of_countable
end IsStoppingTime
end CountableStoppingTime
section LinearOrder
variable [LinearOrder ι] {f : Filtration ι m} {τ : Ω → ι}
theorem IsStoppingTime.measurableSet_gt (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[f i] {ω | i < τ ω} := by
have : {ω | i < τ ω} = {ω | τ ω ≤ i}ᶜ := by
ext1 ω; simp only [Set.mem_setOf_eq, Set.mem_compl_iff, not_le]
rw [this]
exact (hτ.measurableSet_le i).compl
#align measure_theory.is_stopping_time.measurable_set_gt MeasureTheory.IsStoppingTime.measurableSet_gt
section TopologicalSpace
variable [TopologicalSpace ι] [OrderTopology ι] [FirstCountableTopology ι]
/-- Auxiliary lemma for `MeasureTheory.IsStoppingTime.measurableSet_lt`. -/
theorem IsStoppingTime.measurableSet_lt_of_isLUB (hτ : IsStoppingTime f τ) (i : ι)
(h_lub : IsLUB (Set.Iio i) i) : MeasurableSet[f i] {ω | τ ω < i} := by
by_cases hi_min : IsMin i
· suffices {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]
exact isMin_iff_forall_not_lt.mp hi_min (τ ω)
obtain ⟨seq, -, -, h_tendsto, h_bound⟩ :
∃ seq : ℕ → ι, Monotone seq ∧ (∀ j, seq j ≤ i) ∧ Tendsto seq atTop (𝓝 i) ∧ ∀ j, seq j < i :=
h_lub.exists_seq_monotone_tendsto (not_isMin_iff.mp hi_min)
have h_Ioi_eq_Union : Set.Iio i = ⋃ j, {k | k ≤ seq j} := by
ext1 k
simp only [Set.mem_Iio, Set.mem_iUnion, Set.mem_setOf_eq]
refine ⟨fun hk_lt_i => ?_, fun h_exists_k_le_seq => ?_⟩
· rw [tendsto_atTop'] at h_tendsto
have h_nhds : Set.Ici k ∈ 𝓝 i :=
mem_nhds_iff.mpr ⟨Set.Ioi k, Set.Ioi_subset_Ici le_rfl, isOpen_Ioi, hk_lt_i⟩
obtain ⟨a, ha⟩ : ∃ a : ℕ, ∀ b : ℕ, b ≥ a → k ≤ seq b := h_tendsto (Set.Ici k) h_nhds
exact ⟨a, ha a le_rfl⟩
· obtain ⟨j, hk_seq_j⟩ := h_exists_k_le_seq
exact hk_seq_j.trans_lt (h_bound j)
have h_lt_eq_preimage : {ω | τ ω < i} = τ ⁻¹' Set.Iio i := by
ext1 ω; simp only [Set.mem_setOf_eq, Set.mem_preimage, Set.mem_Iio]
rw [h_lt_eq_preimage, h_Ioi_eq_Union]
simp only [Set.preimage_iUnion, Set.preimage_setOf_eq]
exact MeasurableSet.iUnion fun n => f.mono (h_bound n).le _ (hτ.measurableSet_le (seq n))
#align measure_theory.is_stopping_time.measurable_set_lt_of_is_lub MeasureTheory.IsStoppingTime.measurableSet_lt_of_isLUB
theorem IsStoppingTime.measurableSet_lt (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[f i] {ω | τ ω < i} := by
obtain ⟨i', hi'_lub⟩ : ∃ i', IsLUB (Set.Iio i) i' := exists_lub_Iio i
cases' lub_Iio_eq_self_or_Iio_eq_Iic i hi'_lub with hi'_eq_i h_Iio_eq_Iic
· rw [← hi'_eq_i] at hi'_lub ⊢
exact hτ.measurableSet_lt_of_isLUB i' hi'_lub
· have h_lt_eq_preimage : {ω : Ω | τ ω < i} = τ ⁻¹' Set.Iio i := rfl
rw [h_lt_eq_preimage, h_Iio_eq_Iic]
exact f.mono (lub_Iio_le i hi'_lub) _ (hτ.measurableSet_le i')
#align measure_theory.is_stopping_time.measurable_set_lt MeasureTheory.IsStoppingTime.measurableSet_lt
theorem IsStoppingTime.measurableSet_ge (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[f i] {ω | i ≤ τ ω} := by
have : {ω | i ≤ τ ω} = {ω | τ ω < i}ᶜ := by
ext1 ω; simp only [Set.mem_setOf_eq, Set.mem_compl_iff, not_lt]
rw [this]
exact (hτ.measurableSet_lt i).compl
#align measure_theory.is_stopping_time.measurable_set_ge MeasureTheory.IsStoppingTime.measurableSet_ge
theorem IsStoppingTime.measurableSet_eq (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[f i] {ω | τ ω = i} := by
have : {ω | τ ω = i} = {ω | τ ω ≤ i} ∩ {ω | τ ω ≥ i} := by
ext1 ω; simp only [Set.mem_setOf_eq, ge_iff_le, Set.mem_inter_iff, le_antisymm_iff]
rw [this]
exact (hτ.measurableSet_le i).inter (hτ.measurableSet_ge i)
#align measure_theory.is_stopping_time.measurable_set_eq MeasureTheory.IsStoppingTime.measurableSet_eq
theorem IsStoppingTime.measurableSet_eq_le (hτ : IsStoppingTime f τ) {i j : ι} (hle : i ≤ j) :
MeasurableSet[f j] {ω | τ ω = i} :=
f.mono hle _ <| hτ.measurableSet_eq i
#align measure_theory.is_stopping_time.measurable_set_eq_le MeasureTheory.IsStoppingTime.measurableSet_eq_le
theorem IsStoppingTime.measurableSet_lt_le (hτ : IsStoppingTime f τ) {i j : ι} (hle : i ≤ j) :
MeasurableSet[f j] {ω | τ ω < i} :=
f.mono hle _ <| hτ.measurableSet_lt i
#align measure_theory.is_stopping_time.measurable_set_lt_le MeasureTheory.IsStoppingTime.measurableSet_lt_le
end TopologicalSpace
end LinearOrder
section Countable
theorem isStoppingTime_of_measurableSet_eq [Preorder ι] [Countable ι] {f : Filtration ι m}
{τ : Ω → ι} (hτ : ∀ i, MeasurableSet[f i] {ω | τ ω = i}) : IsStoppingTime f τ := by
intro i
rw [show {ω | τ ω ≤ i} = ⋃ k ≤ i, {ω | τ ω = k} by ext; simp]
refine MeasurableSet.biUnion (Set.to_countable _) fun k hk => ?_
exact f.mono hk _ (hτ k)
#align measure_theory.is_stopping_time_of_measurable_set_eq MeasureTheory.isStoppingTime_of_measurableSet_eq
end Countable
end MeasurableSet
namespace IsStoppingTime
protected theorem max [LinearOrder ι] {f : Filtration ι m} {τ π : Ω → ι} (hτ : IsStoppingTime f τ)
(hπ : IsStoppingTime f π) : IsStoppingTime f fun ω => max (τ ω) (π ω) := by
intro i
simp_rw [max_le_iff, Set.setOf_and]
exact (hτ i).inter (hπ i)
#align measure_theory.is_stopping_time.max MeasureTheory.IsStoppingTime.max
protected theorem max_const [LinearOrder ι] {f : Filtration ι m} {τ : Ω → ι}
(hτ : IsStoppingTime f τ) (i : ι) : IsStoppingTime f fun ω => max (τ ω) i :=
hτ.max (isStoppingTime_const f i)
#align measure_theory.is_stopping_time.max_const MeasureTheory.IsStoppingTime.max_const
protected theorem min [LinearOrder ι] {f : Filtration ι m} {τ π : Ω → ι} (hτ : IsStoppingTime f τ)
(hπ : IsStoppingTime f π) : IsStoppingTime f fun ω => min (τ ω) (π ω) := by
intro i
simp_rw [min_le_iff, Set.setOf_or]
exact (hτ i).union (hπ i)
#align measure_theory.is_stopping_time.min MeasureTheory.IsStoppingTime.min
protected theorem min_const [LinearOrder ι] {f : Filtration ι m} {τ : Ω → ι}
(hτ : IsStoppingTime f τ) (i : ι) : IsStoppingTime f fun ω => min (τ ω) i :=
hτ.min (isStoppingTime_const f i)
#align measure_theory.is_stopping_time.min_const MeasureTheory.IsStoppingTime.min_const
theorem add_const [AddGroup ι] [Preorder ι] [CovariantClass ι ι (Function.swap (· + ·)) (· ≤ ·)]
[CovariantClass ι ι (· + ·) (· ≤ ·)] {f : Filtration ι m} {τ : Ω → ι} (hτ : IsStoppingTime f τ)
{i : ι} (hi : 0 ≤ i) : IsStoppingTime f fun ω => τ ω + i := by
intro j
simp_rw [← le_sub_iff_add_le]
exact f.mono (sub_le_self j hi) _ (hτ (j - i))
#align measure_theory.is_stopping_time.add_const MeasureTheory.IsStoppingTime.add_const
theorem add_const_nat {f : Filtration ℕ m} {τ : Ω → ℕ} (hτ : IsStoppingTime f τ) {i : ℕ} :
IsStoppingTime f fun ω => τ ω + i := by
refine isStoppingTime_of_measurableSet_eq fun j => ?_
by_cases hij : i ≤ j
· simp_rw [eq_comm, ← Nat.sub_eq_iff_eq_add hij, eq_comm]
exact f.mono (j.sub_le i) _ (hτ.measurableSet_eq (j - i))
· rw [not_le] at hij
convert @MeasurableSet.empty _ (f.1 j)
ext ω
simp only [Set.mem_empty_iff_false, iff_false_iff, Set.mem_setOf]
omega
#align measure_theory.is_stopping_time.add_const_nat MeasureTheory.IsStoppingTime.add_const_nat
-- generalize to certain countable type?
theorem add {f : Filtration ℕ m} {τ π : Ω → ℕ} (hτ : IsStoppingTime f τ) (hπ : IsStoppingTime f π) :
IsStoppingTime f (τ + π) := by
intro i
rw [(_ : {ω | (τ + π) ω ≤ i} = ⋃ k ≤ i, {ω | π ω = k} ∩ {ω | τ ω + k ≤ i})]
· exact MeasurableSet.iUnion fun k =>
MeasurableSet.iUnion fun hk => (hπ.measurableSet_eq_le hk).inter (hτ.add_const_nat i)
ext ω
simp only [Pi.add_apply, Set.mem_setOf_eq, Set.mem_iUnion, Set.mem_inter_iff, exists_prop]
refine ⟨fun h => ⟨π ω, by omega, rfl, h⟩, ?_⟩
rintro ⟨j, hj, rfl, h⟩
assumption
#align measure_theory.is_stopping_time.add MeasureTheory.IsStoppingTime.add
section Preorder
variable [Preorder ι] {f : Filtration ι m} {τ π : Ω → ι}
/-- The associated σ-algebra with a stopping time. -/
protected def measurableSpace (hτ : IsStoppingTime f τ) : MeasurableSpace Ω where
MeasurableSet' s := ∀ i : ι, MeasurableSet[f i] (s ∩ {ω | τ ω ≤ i})
measurableSet_empty i := (Set.empty_inter {ω | τ ω ≤ i}).symm ▸ @MeasurableSet.empty _ (f i)
measurableSet_compl s hs i := by
rw [(_ : sᶜ ∩ {ω | τ ω ≤ i} = (sᶜ ∪ {ω | τ ω ≤ i}ᶜ) ∩ {ω | τ ω ≤ i})]
· refine MeasurableSet.inter ?_ ?_
· rw [← Set.compl_inter]
exact (hs i).compl
· exact hτ i
· rw [Set.union_inter_distrib_right]
simp only [Set.compl_inter_self, Set.union_empty]
measurableSet_iUnion s hs i := by
rw [forall_swap] at hs
rw [Set.iUnion_inter]
exact MeasurableSet.iUnion (hs i)
#align measure_theory.is_stopping_time.measurable_space MeasureTheory.IsStoppingTime.measurableSpace
protected theorem measurableSet (hτ : IsStoppingTime f τ) (s : Set Ω) :
MeasurableSet[hτ.measurableSpace] s ↔ ∀ i : ι, MeasurableSet[f i] (s ∩ {ω | τ ω ≤ i}) :=
Iff.rfl
#align measure_theory.is_stopping_time.measurable_set MeasureTheory.IsStoppingTime.measurableSet
theorem measurableSpace_mono (hτ : IsStoppingTime f τ) (hπ : IsStoppingTime f π) (hle : τ ≤ π) :
hτ.measurableSpace ≤ hπ.measurableSpace := by
intro s hs i
rw [(_ : s ∩ {ω | π ω ≤ i} = s ∩ {ω | τ ω ≤ i} ∩ {ω | π ω ≤ i})]
· exact (hs i).inter (hπ i)
· ext
simp only [Set.mem_inter_iff, iff_self_and, and_congr_left_iff, Set.mem_setOf_eq]
intro hle' _
exact le_trans (hle _) hle'
#align measure_theory.is_stopping_time.measurable_space_mono MeasureTheory.IsStoppingTime.measurableSpace_mono
theorem measurableSpace_le_of_countable [Countable ι] (hτ : IsStoppingTime f τ) :
hτ.measurableSpace ≤ m := by
intro s hs
change ∀ i, MeasurableSet[f i] (s ∩ {ω | τ ω ≤ i}) at hs
rw [(_ : s = ⋃ i, s ∩ {ω | τ ω ≤ i})]
· exact MeasurableSet.iUnion fun i => f.le i _ (hs i)
· ext ω; constructor <;> rw [Set.mem_iUnion]
· exact fun hx => ⟨τ ω, hx, le_rfl⟩
· rintro ⟨_, hx, _⟩
exact hx
#align measure_theory.is_stopping_time.measurable_space_le_of_countable MeasureTheory.IsStoppingTime.measurableSpace_le_of_countable
theorem measurableSpace_le' [IsCountablyGenerated (atTop : Filter ι)] [(atTop : Filter ι).NeBot]
(hτ : IsStoppingTime f τ) : hτ.measurableSpace ≤ m := by
intro s hs
change ∀ i, MeasurableSet[f i] (s ∩ {ω | τ ω ≤ i}) at hs
obtain ⟨seq : ℕ → ι, h_seq_tendsto⟩ := (atTop : Filter ι).exists_seq_tendsto
rw [(_ : s = ⋃ n, s ∩ {ω | τ ω ≤ seq n})]
· exact MeasurableSet.iUnion fun i => f.le (seq i) _ (hs (seq i))
· ext ω; constructor <;> rw [Set.mem_iUnion]
· intro hx
suffices ∃ i, τ ω ≤ seq i from ⟨this.choose, hx, this.choose_spec⟩
rw [tendsto_atTop] at h_seq_tendsto
exact (h_seq_tendsto (τ ω)).exists
· rintro ⟨_, hx, _⟩
exact hx
#align measure_theory.is_stopping_time.measurable_space_le' MeasureTheory.IsStoppingTime.measurableSpace_le'
theorem measurableSpace_le {ι} [SemilatticeSup ι] {f : Filtration ι m} {τ : Ω → ι}
[IsCountablyGenerated (atTop : Filter ι)] (hτ : IsStoppingTime f τ) :
hτ.measurableSpace ≤ m := by
cases isEmpty_or_nonempty ι
· haveI : IsEmpty Ω := ⟨fun ω => IsEmpty.false (τ ω)⟩
intro s _
suffices hs : s = ∅ by rw [hs]; exact MeasurableSet.empty
haveI : Unique (Set Ω) := Set.uniqueEmpty
rw [Unique.eq_default s, Unique.eq_default ∅]
exact measurableSpace_le' hτ
#align measure_theory.is_stopping_time.measurable_space_le MeasureTheory.IsStoppingTime.measurableSpace_le
example {f : Filtration ℕ m} {τ : Ω → ℕ} (hτ : IsStoppingTime f τ) : hτ.measurableSpace ≤ m :=
hτ.measurableSpace_le
example {f : Filtration ℝ m} {τ : Ω → ℝ} (hτ : IsStoppingTime f τ) : hτ.measurableSpace ≤ m :=
hτ.measurableSpace_le
@[simp]
theorem measurableSpace_const (f : Filtration ι m) (i : ι) :
(isStoppingTime_const f i).measurableSpace = f i := by
ext1 s
change MeasurableSet[(isStoppingTime_const f i).measurableSpace] s ↔ MeasurableSet[f i] s
rw [IsStoppingTime.measurableSet]
constructor <;> intro h
· specialize h i
simpa only [le_refl, Set.setOf_true, Set.inter_univ] using h
· intro j
by_cases hij : i ≤ j
· simp only [hij, Set.setOf_true, Set.inter_univ]
exact f.mono hij _ h
· simp only [hij, Set.setOf_false, Set.inter_empty, @MeasurableSet.empty _ (f.1 j)]
#align measure_theory.is_stopping_time.measurable_space_const MeasureTheory.IsStoppingTime.measurableSpace_const
theorem measurableSet_inter_eq_iff (hτ : IsStoppingTime f τ) (s : Set Ω) (i : ι) :
MeasurableSet[hτ.measurableSpace] (s ∩ {ω | τ ω = i}) ↔
MeasurableSet[f i] (s ∩ {ω | τ ω = i}) := by
have : ∀ j, {ω : Ω | τ ω = i} ∩ {ω : Ω | τ ω ≤ j} = {ω : Ω | τ ω = i} ∩ {_ω | i ≤ j} := by
intro j
ext1 ω
simp only [Set.mem_inter_iff, Set.mem_setOf_eq, and_congr_right_iff]
intro hxi
rw [hxi]
constructor <;> intro h
· specialize h i
simpa only [Set.inter_assoc, this, le_refl, Set.setOf_true, Set.inter_univ] using h
· intro j
rw [Set.inter_assoc, this]
by_cases hij : i ≤ j
· simp only [hij, Set.setOf_true, Set.inter_univ]
exact f.mono hij _ h
· set_option tactic.skipAssignedInstances false in simp [hij]
convert @MeasurableSet.empty _ (Filtration.seq f j)
#align measure_theory.is_stopping_time.measurable_set_inter_eq_iff MeasureTheory.IsStoppingTime.measurableSet_inter_eq_iff
theorem measurableSpace_le_of_le_const (hτ : IsStoppingTime f τ) {i : ι} (hτ_le : ∀ ω, τ ω ≤ i) :
hτ.measurableSpace ≤ f i :=
(measurableSpace_mono hτ _ hτ_le).trans (measurableSpace_const _ _).le
#align measure_theory.is_stopping_time.measurable_space_le_of_le_const MeasureTheory.IsStoppingTime.measurableSpace_le_of_le_const
theorem measurableSpace_le_of_le (hτ : IsStoppingTime f τ) {n : ι} (hτ_le : ∀ ω, τ ω ≤ n) :
hτ.measurableSpace ≤ m :=
(hτ.measurableSpace_le_of_le_const hτ_le).trans (f.le n)
#align measure_theory.is_stopping_time.measurable_space_le_of_le MeasureTheory.IsStoppingTime.measurableSpace_le_of_le
theorem le_measurableSpace_of_const_le (hτ : IsStoppingTime f τ) {i : ι} (hτ_le : ∀ ω, i ≤ τ ω) :
f i ≤ hτ.measurableSpace :=
(measurableSpace_const _ _).symm.le.trans (measurableSpace_mono _ hτ hτ_le)
#align measure_theory.is_stopping_time.le_measurable_space_of_const_le MeasureTheory.IsStoppingTime.le_measurableSpace_of_const_le
end Preorder
instance sigmaFinite_stopping_time {ι} [SemilatticeSup ι] [OrderBot ι]
[(Filter.atTop : Filter ι).IsCountablyGenerated] {μ : Measure Ω} {f : Filtration ι m}
{τ : Ω → ι} [SigmaFiniteFiltration μ f] (hτ : IsStoppingTime f τ) :
SigmaFinite (μ.trim hτ.measurableSpace_le) := by
refine @sigmaFiniteTrim_mono _ _ ?_ _ _ _ ?_ ?_
· exact f ⊥
· exact hτ.le_measurableSpace_of_const_le fun _ => bot_le
· infer_instance
#align measure_theory.is_stopping_time.sigma_finite_stopping_time MeasureTheory.IsStoppingTime.sigmaFinite_stopping_time
instance sigmaFinite_stopping_time_of_le {ι} [SemilatticeSup ι] [OrderBot ι] {μ : Measure Ω}
{f : Filtration ι m} {τ : Ω → ι} [SigmaFiniteFiltration μ f] (hτ : IsStoppingTime f τ) {n : ι}
(hτ_le : ∀ ω, τ ω ≤ n) : SigmaFinite (μ.trim (hτ.measurableSpace_le_of_le hτ_le)) := by
refine @sigmaFiniteTrim_mono _ _ ?_ _ _ _ ?_ ?_
· exact f ⊥
· exact hτ.le_measurableSpace_of_const_le fun _ => bot_le
· infer_instance
#align measure_theory.is_stopping_time.sigma_finite_stopping_time_of_le MeasureTheory.IsStoppingTime.sigmaFinite_stopping_time_of_le
section LinearOrder
variable [LinearOrder ι] {f : Filtration ι m} {τ π : Ω → ι}
protected theorem measurableSet_le' (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[hτ.measurableSpace] {ω | τ ω ≤ i} := by
intro j
have : {ω : Ω | τ ω ≤ i} ∩ {ω : Ω | τ ω ≤ j} = {ω : Ω | τ ω ≤ min i j} := by
ext1 ω; simp only [Set.mem_inter_iff, Set.mem_setOf_eq, le_min_iff]
rw [this]
exact f.mono (min_le_right i j) _ (hτ _)
#align measure_theory.is_stopping_time.measurable_set_le' MeasureTheory.IsStoppingTime.measurableSet_le'
protected theorem measurableSet_gt' (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[hτ.measurableSpace] {ω | i < τ ω} := by
have : {ω : Ω | i < τ ω} = {ω : Ω | τ ω ≤ i}ᶜ := by ext1 ω; simp
rw [this]
exact (hτ.measurableSet_le' i).compl
#align measure_theory.is_stopping_time.measurable_set_gt' MeasureTheory.IsStoppingTime.measurableSet_gt'
protected theorem measurableSet_eq' [TopologicalSpace ι] [OrderTopology ι]
[FirstCountableTopology ι] (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[hτ.measurableSpace] {ω | τ ω = i} := by
rw [← Set.univ_inter {ω | τ ω = i}, measurableSet_inter_eq_iff, Set.univ_inter]
exact hτ.measurableSet_eq i
#align measure_theory.is_stopping_time.measurable_set_eq' MeasureTheory.IsStoppingTime.measurableSet_eq'
protected theorem measurableSet_ge' [TopologicalSpace ι] [OrderTopology ι]
[FirstCountableTopology ι] (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[hτ.measurableSpace] {ω | i ≤ τ ω} := by
have : {ω | i ≤ τ ω} = {ω | τ ω = i} ∪ {ω | i < τ ω} := by
ext1 ω
simp only [le_iff_lt_or_eq, Set.mem_setOf_eq, Set.mem_union]
rw [@eq_comm _ i, or_comm]
rw [this]
exact (hτ.measurableSet_eq' i).union (hτ.measurableSet_gt' i)
#align measure_theory.is_stopping_time.measurable_set_ge' MeasureTheory.IsStoppingTime.measurableSet_ge'
protected theorem measurableSet_lt' [TopologicalSpace ι] [OrderTopology ι]
[FirstCountableTopology ι] (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[hτ.measurableSpace] {ω | τ ω < i} := by
have : {ω | τ ω < i} = {ω | τ ω ≤ i} \ {ω | τ ω = i} := by
ext1 ω
simp only [lt_iff_le_and_ne, Set.mem_setOf_eq, Set.mem_diff]
rw [this]
exact (hτ.measurableSet_le' i).diff (hτ.measurableSet_eq' i)
#align measure_theory.is_stopping_time.measurable_set_lt' MeasureTheory.IsStoppingTime.measurableSet_lt'
section Countable
protected theorem measurableSet_eq_of_countable_range' (hτ : IsStoppingTime f τ)
(h_countable : (Set.range τ).Countable) (i : ι) :
MeasurableSet[hτ.measurableSpace] {ω | τ ω = i} := by
rw [← Set.univ_inter {ω | τ ω = i}, measurableSet_inter_eq_iff, Set.univ_inter]
exact hτ.measurableSet_eq_of_countable_range h_countable i
#align measure_theory.is_stopping_time.measurable_set_eq_of_countable_range' MeasureTheory.IsStoppingTime.measurableSet_eq_of_countable_range'
protected theorem measurableSet_eq_of_countable' [Countable ι] (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[hτ.measurableSpace] {ω | τ ω = i} :=
hτ.measurableSet_eq_of_countable_range' (Set.to_countable _) i
#align measure_theory.is_stopping_time.measurable_set_eq_of_countable' MeasureTheory.IsStoppingTime.measurableSet_eq_of_countable'
protected theorem measurableSet_ge_of_countable_range' (hτ : IsStoppingTime f τ)
(h_countable : (Set.range τ).Countable) (i : ι) :
MeasurableSet[hτ.measurableSpace] {ω | i ≤ τ ω} := by
have : {ω | i ≤ τ ω} = {ω | τ ω = i} ∪ {ω | i < τ ω} := by
ext1 ω
simp only [le_iff_lt_or_eq, Set.mem_setOf_eq, Set.mem_union]
rw [@eq_comm _ i, or_comm]
rw [this]
exact (hτ.measurableSet_eq_of_countable_range' h_countable i).union (hτ.measurableSet_gt' i)
#align measure_theory.is_stopping_time.measurable_set_ge_of_countable_range' MeasureTheory.IsStoppingTime.measurableSet_ge_of_countable_range'
protected theorem measurableSet_ge_of_countable' [Countable ι] (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[hτ.measurableSpace] {ω | i ≤ τ ω} :=
hτ.measurableSet_ge_of_countable_range' (Set.to_countable _) i
#align measure_theory.is_stopping_time.measurable_set_ge_of_countable' MeasureTheory.IsStoppingTime.measurableSet_ge_of_countable'
protected theorem measurableSet_lt_of_countable_range' (hτ : IsStoppingTime f τ)
(h_countable : (Set.range τ).Countable) (i : ι) :
MeasurableSet[hτ.measurableSpace] {ω | τ ω < i} := by
have : {ω | τ ω < i} = {ω | τ ω ≤ i} \ {ω | τ ω = i} := by
ext1 ω
simp only [lt_iff_le_and_ne, Set.mem_setOf_eq, Set.mem_diff]
rw [this]
exact (hτ.measurableSet_le' i).diff (hτ.measurableSet_eq_of_countable_range' h_countable i)
#align measure_theory.is_stopping_time.measurable_set_lt_of_countable_range' MeasureTheory.IsStoppingTime.measurableSet_lt_of_countable_range'
protected theorem measurableSet_lt_of_countable' [Countable ι] (hτ : IsStoppingTime f τ) (i : ι) :
MeasurableSet[hτ.measurableSpace] {ω | τ ω < i} :=
hτ.measurableSet_lt_of_countable_range' (Set.to_countable _) i
#align measure_theory.is_stopping_time.measurable_set_lt_of_countable' MeasureTheory.IsStoppingTime.measurableSet_lt_of_countable'
protected theorem measurableSpace_le_of_countable_range (hτ : IsStoppingTime f τ)
(h_countable : (Set.range τ).Countable) : hτ.measurableSpace ≤ m := by
intro s hs
change ∀ i, MeasurableSet[f i] (s ∩ {ω | τ ω ≤ i}) at hs
rw [(_ : s = ⋃ i ∈ Set.range τ, s ∩ {ω | τ ω ≤ i})]
· exact MeasurableSet.biUnion h_countable fun i _ => f.le i _ (hs i)
· ext ω
constructor <;> rw [Set.mem_iUnion]
· exact fun hx => ⟨τ ω, by simpa using hx⟩
· rintro ⟨i, hx⟩
simp only [Set.mem_range, Set.iUnion_exists, Set.mem_iUnion, Set.mem_inter_iff,
Set.mem_setOf_eq, exists_prop, exists_and_right] at hx
exact hx.2.1
#align measure_theory.is_stopping_time.measurable_space_le_of_countable_range MeasureTheory.IsStoppingTime.measurableSpace_le_of_countable_range
end Countable
protected theorem measurable [TopologicalSpace ι] [MeasurableSpace ι] [BorelSpace ι]
[OrderTopology ι] [SecondCountableTopology ι] (hτ : IsStoppingTime f τ) :
Measurable[hτ.measurableSpace] τ :=
@measurable_of_Iic ι Ω _ _ _ hτ.measurableSpace _ _ _ _ fun i => hτ.measurableSet_le' i
#align measure_theory.is_stopping_time.measurable MeasureTheory.IsStoppingTime.measurable
protected theorem measurable_of_le [TopologicalSpace ι] [MeasurableSpace ι] [BorelSpace ι]
[OrderTopology ι] [SecondCountableTopology ι] (hτ : IsStoppingTime f τ) {i : ι}
(hτ_le : ∀ ω, τ ω ≤ i) : Measurable[f i] τ :=
hτ.measurable.mono (measurableSpace_le_of_le_const _ hτ_le) le_rfl
#align measure_theory.is_stopping_time.measurable_of_le MeasureTheory.IsStoppingTime.measurable_of_le
theorem measurableSpace_min (hτ : IsStoppingTime f τ) (hπ : IsStoppingTime f π) :
(hτ.min hπ).measurableSpace = hτ.measurableSpace ⊓ hπ.measurableSpace := by
refine le_antisymm ?_ ?_
· exact le_inf (measurableSpace_mono _ hτ fun _ => min_le_left _ _)
(measurableSpace_mono _ hπ fun _ => min_le_right _ _)
· intro s
change MeasurableSet[hτ.measurableSpace] s ∧ MeasurableSet[hπ.measurableSpace] s →
MeasurableSet[(hτ.min hπ).measurableSpace] s
simp_rw [IsStoppingTime.measurableSet]
have : ∀ i, {ω | min (τ ω) (π ω) ≤ i} = {ω | τ ω ≤ i} ∪ {ω | π ω ≤ i} := by
intro i; ext1 ω; simp
simp_rw [this, Set.inter_union_distrib_left]
exact fun h i => (h.left i).union (h.right i)
#align measure_theory.is_stopping_time.measurable_space_min MeasureTheory.IsStoppingTime.measurableSpace_min
theorem measurableSet_min_iff (hτ : IsStoppingTime f τ) (hπ : IsStoppingTime f π) (s : Set Ω) :
MeasurableSet[(hτ.min hπ).measurableSpace] s ↔
MeasurableSet[hτ.measurableSpace] s ∧ MeasurableSet[hπ.measurableSpace] s := by
rw [measurableSpace_min hτ hπ]; rfl
#align measure_theory.is_stopping_time.measurable_set_min_iff MeasureTheory.IsStoppingTime.measurableSet_min_iff
theorem measurableSpace_min_const (hτ : IsStoppingTime f τ) {i : ι} :
(hτ.min_const i).measurableSpace = hτ.measurableSpace ⊓ f i := by
rw [hτ.measurableSpace_min (isStoppingTime_const _ i), measurableSpace_const]
#align measure_theory.is_stopping_time.measurable_space_min_const MeasureTheory.IsStoppingTime.measurableSpace_min_const
theorem measurableSet_min_const_iff (hτ : IsStoppingTime f τ) (s : Set Ω) {i : ι} :
MeasurableSet[(hτ.min_const i).measurableSpace] s ↔
MeasurableSet[hτ.measurableSpace] s ∧ MeasurableSet[f i] s := by
rw [measurableSpace_min_const hτ]; apply MeasurableSpace.measurableSet_inf
#align measure_theory.is_stopping_time.measurable_set_min_const_iff MeasureTheory.IsStoppingTime.measurableSet_min_const_iff
theorem measurableSet_inter_le [TopologicalSpace ι] [SecondCountableTopology ι] [OrderTopology ι]
[MeasurableSpace ι] [BorelSpace ι] (hτ : IsStoppingTime f τ) (hπ : IsStoppingTime f π)
(s : Set Ω) (hs : MeasurableSet[hτ.measurableSpace] s) :
MeasurableSet[(hτ.min hπ).measurableSpace] (s ∩ {ω | τ ω ≤ π ω}) := by
simp_rw [IsStoppingTime.measurableSet] at hs ⊢
intro i
have : s ∩ {ω | τ ω ≤ π ω} ∩ {ω | min (τ ω) (π ω) ≤ i} =
s ∩ {ω | τ ω ≤ i} ∩ {ω | min (τ ω) (π ω) ≤ i} ∩
{ω | min (τ ω) i ≤ min (min (τ ω) (π ω)) i} := by
ext1 ω
simp only [min_le_iff, Set.mem_inter_iff, Set.mem_setOf_eq, le_min_iff, le_refl, true_and_iff,
and_true_iff, true_or_iff, or_true_iff]
by_cases hτi : τ ω ≤ i
· simp only [hτi, true_or_iff, and_true_iff, and_congr_right_iff]
intro
constructor <;> intro h
· exact Or.inl h
· cases' h with h h
· exact h
· exact hτi.trans h
simp only [hτi, false_or_iff, and_false_iff, false_and_iff, iff_false_iff, not_and, not_le,
and_imp]
refine fun _ hτ_le_π => lt_of_lt_of_le ?_ hτ_le_π
rw [← not_le]
exact hτi
rw [this]
refine ((hs i).inter ((hτ.min hπ) i)).inter ?_
apply @measurableSet_le _ _ _ _ _ (Filtration.seq f i) _ _ _ _ _ ?_ ?_
· exact (hτ.min_const i).measurable_of_le fun _ => min_le_right _ _
· exact ((hτ.min hπ).min_const i).measurable_of_le fun _ => min_le_right _ _
#align measure_theory.is_stopping_time.measurable_set_inter_le MeasureTheory.IsStoppingTime.measurableSet_inter_le
theorem measurableSet_inter_le_iff [TopologicalSpace ι] [SecondCountableTopology ι]
[OrderTopology ι] [MeasurableSpace ι] [BorelSpace ι] (hτ : IsStoppingTime f τ)
(hπ : IsStoppingTime f π) (s : Set Ω) :
MeasurableSet[hτ.measurableSpace] (s ∩ {ω | τ ω ≤ π ω}) ↔
MeasurableSet[(hτ.min hπ).measurableSpace] (s ∩ {ω | τ ω ≤ π ω}) := by
constructor <;> intro h
· have : s ∩ {ω | τ ω ≤ π ω} = s ∩ {ω | τ ω ≤ π ω} ∩ {ω | τ ω ≤ π ω} := by
rw [Set.inter_assoc, Set.inter_self]
rw [this]
exact measurableSet_inter_le _ hπ _ h
· rw [measurableSet_min_iff hτ hπ] at h
exact h.1
#align measure_theory.is_stopping_time.measurable_set_inter_le_iff MeasureTheory.IsStoppingTime.measurableSet_inter_le_iff
theorem measurableSet_inter_le_const_iff (hτ : IsStoppingTime f τ) (s : Set Ω) (i : ι) :
MeasurableSet[hτ.measurableSpace] (s ∩ {ω | τ ω ≤ i}) ↔
MeasurableSet[(hτ.min_const i).measurableSpace] (s ∩ {ω | τ ω ≤ i}) := by
rw [IsStoppingTime.measurableSet_min_iff hτ (isStoppingTime_const _ i),
IsStoppingTime.measurableSpace_const, IsStoppingTime.measurableSet]
refine ⟨fun h => ⟨h, ?_⟩, fun h j => h.1 j⟩
specialize h i
rwa [Set.inter_assoc, Set.inter_self] at h
#align measure_theory.is_stopping_time.measurable_set_inter_le_const_iff MeasureTheory.IsStoppingTime.measurableSet_inter_le_const_iff
theorem measurableSet_le_stopping_time [TopologicalSpace ι] [SecondCountableTopology ι]
[OrderTopology ι] [MeasurableSpace ι] [BorelSpace ι] (hτ : IsStoppingTime f τ)
(hπ : IsStoppingTime f π) : MeasurableSet[hτ.measurableSpace] {ω | τ ω ≤ π ω} := by
rw [hτ.measurableSet]
intro j
have : {ω | τ ω ≤ π ω} ∩ {ω | τ ω ≤ j} = {ω | min (τ ω) j ≤ min (π ω) j} ∩ {ω | τ ω ≤ j} := by
ext1 ω
simp only [Set.mem_inter_iff, Set.mem_setOf_eq, min_le_iff, le_min_iff, le_refl, and_true_iff,
and_congr_left_iff]
intro h
simp only [h, or_self_iff, and_true_iff]
rw [Iff.comm, or_iff_left_iff_imp]
exact h.trans
rw [this]
refine MeasurableSet.inter ?_ (hτ.measurableSet_le j)
apply @measurableSet_le _ _ _ _ _ (Filtration.seq f j) _ _ _ _ _ ?_ ?_
· exact (hτ.min_const j).measurable_of_le fun _ => min_le_right _ _
· exact (hπ.min_const j).measurable_of_le fun _ => min_le_right _ _
#align measure_theory.is_stopping_time.measurable_set_le_stopping_time MeasureTheory.IsStoppingTime.measurableSet_le_stopping_time
theorem measurableSet_stopping_time_le [TopologicalSpace ι] [SecondCountableTopology ι]
[OrderTopology ι] [MeasurableSpace ι] [BorelSpace ι] (hτ : IsStoppingTime f τ)
(hπ : IsStoppingTime f π) : MeasurableSet[hπ.measurableSpace] {ω | τ ω ≤ π ω} := by
suffices MeasurableSet[(hτ.min hπ).measurableSpace] {ω : Ω | τ ω ≤ π ω} by
rw [measurableSet_min_iff hτ hπ] at this; exact this.2
rw [← Set.univ_inter {ω : Ω | τ ω ≤ π ω}, ← hτ.measurableSet_inter_le_iff hπ, Set.univ_inter]
exact measurableSet_le_stopping_time hτ hπ
#align measure_theory.is_stopping_time.measurable_set_stopping_time_le MeasureTheory.IsStoppingTime.measurableSet_stopping_time_le
theorem measurableSet_eq_stopping_time [AddGroup ι] [TopologicalSpace ι] [MeasurableSpace ι]
[BorelSpace ι] [OrderTopology ι] [MeasurableSingletonClass ι] [SecondCountableTopology ι]
[MeasurableSub₂ ι] (hτ : IsStoppingTime f τ) (hπ : IsStoppingTime f π) :
MeasurableSet[hτ.measurableSpace] {ω | τ ω = π ω} := by
rw [hτ.measurableSet]
intro j
have : {ω | τ ω = π ω} ∩ {ω | τ ω ≤ j} =
{ω | min (τ ω) j = min (π ω) j} ∩ {ω | τ ω ≤ j} ∩ {ω | π ω ≤ j} := by
ext1 ω
simp only [Set.mem_inter_iff, Set.mem_setOf_eq]
refine ⟨fun h => ⟨⟨?_, h.2⟩, ?_⟩, fun h => ⟨?_, h.1.2⟩⟩
· rw [h.1]
· rw [← h.1]; exact h.2
· cases' h with h' hσ_le
cases' h' with h_eq hτ_le
rwa [min_eq_left hτ_le, min_eq_left hσ_le] at h_eq
rw [this]
refine
MeasurableSet.inter (MeasurableSet.inter ?_ (hτ.measurableSet_le j)) (hπ.measurableSet_le j)
apply measurableSet_eq_fun
· exact (hτ.min_const j).measurable_of_le fun _ => min_le_right _ _
· exact (hπ.min_const j).measurable_of_le fun _ => min_le_right _ _
#align measure_theory.is_stopping_time.measurable_set_eq_stopping_time MeasureTheory.IsStoppingTime.measurableSet_eq_stopping_time
theorem measurableSet_eq_stopping_time_of_countable [Countable ι] [TopologicalSpace ι]
[MeasurableSpace ι] [BorelSpace ι] [OrderTopology ι] [MeasurableSingletonClass ι]
[SecondCountableTopology ι] (hτ : IsStoppingTime f τ) (hπ : IsStoppingTime f π) :
MeasurableSet[hτ.measurableSpace] {ω | τ ω = π ω} := by
rw [hτ.measurableSet]
intro j
have : {ω | τ ω = π ω} ∩ {ω | τ ω ≤ j} =
{ω | min (τ ω) j = min (π ω) j} ∩ {ω | τ ω ≤ j} ∩ {ω | π ω ≤ j} := by
ext1 ω
simp only [Set.mem_inter_iff, Set.mem_setOf_eq]
refine ⟨fun h => ⟨⟨?_, h.2⟩, ?_⟩, fun h => ⟨?_, h.1.2⟩⟩
· rw [h.1]
· rw [← h.1]; exact h.2
· cases' h with h' hπ_le
cases' h' with h_eq hτ_le
rwa [min_eq_left hτ_le, min_eq_left hπ_le] at h_eq
rw [this]
refine
MeasurableSet.inter (MeasurableSet.inter ?_ (hτ.measurableSet_le j)) (hπ.measurableSet_le j)
apply measurableSet_eq_fun_of_countable
· exact (hτ.min_const j).measurable_of_le fun _ => min_le_right _ _
· exact (hπ.min_const j).measurable_of_le fun _ => min_le_right _ _
#align measure_theory.is_stopping_time.measurable_set_eq_stopping_time_of_countable MeasureTheory.IsStoppingTime.measurableSet_eq_stopping_time_of_countable
end LinearOrder
end IsStoppingTime
section LinearOrder
/-! ## Stopped value and stopped process -/
/-- Given a map `u : ι → Ω → E`, its stopped value with respect to the stopping
time `τ` is the map `x ↦ u (τ ω) ω`. -/
def stoppedValue (u : ι → Ω → β) (τ : Ω → ι) : Ω → β := fun ω => u (τ ω) ω
#align measure_theory.stopped_value MeasureTheory.stoppedValue
theorem stoppedValue_const (u : ι → Ω → β) (i : ι) : (stoppedValue u fun _ => i) = u i :=
rfl
#align measure_theory.stopped_value_const MeasureTheory.stoppedValue_const
variable [LinearOrder ι]
/-- Given a map `u : ι → Ω → E`, the stopped process with respect to `τ` is `u i ω` if
`i ≤ τ ω`, and `u (τ ω) ω` otherwise.
Intuitively, the stopped process stops evolving once the stopping time has occured. -/
def stoppedProcess (u : ι → Ω → β) (τ : Ω → ι) : ι → Ω → β := fun i ω => u (min i (τ ω)) ω
#align measure_theory.stopped_process MeasureTheory.stoppedProcess
theorem stoppedProcess_eq_stoppedValue {u : ι → Ω → β} {τ : Ω → ι} :
stoppedProcess u τ = fun i => stoppedValue u fun ω => min i (τ ω) :=
rfl
#align measure_theory.stopped_process_eq_stopped_value MeasureTheory.stoppedProcess_eq_stoppedValue
theorem stoppedValue_stoppedProcess {u : ι → Ω → β} {τ σ : Ω → ι} :
stoppedValue (stoppedProcess u τ) σ = stoppedValue u fun ω => min (σ ω) (τ ω) :=
rfl
#align measure_theory.stopped_value_stopped_process MeasureTheory.stoppedValue_stoppedProcess
theorem stoppedProcess_eq_of_le {u : ι → Ω → β} {τ : Ω → ι} {i : ι} {ω : Ω} (h : i ≤ τ ω) :
stoppedProcess u τ i ω = u i ω := by simp [stoppedProcess, min_eq_left h]
#align measure_theory.stopped_process_eq_of_le MeasureTheory.stoppedProcess_eq_of_le
theorem stoppedProcess_eq_of_ge {u : ι → Ω → β} {τ : Ω → ι} {i : ι} {ω : Ω} (h : τ ω ≤ i) :
stoppedProcess u τ i ω = u (τ ω) ω := by simp [stoppedProcess, min_eq_right h]
#align measure_theory.stopped_process_eq_of_ge MeasureTheory.stoppedProcess_eq_of_ge
section ProgMeasurable
variable [MeasurableSpace ι] [TopologicalSpace ι] [OrderTopology ι] [SecondCountableTopology ι]
[BorelSpace ι] [TopologicalSpace β] {u : ι → Ω → β} {τ : Ω → ι} {f : Filtration ι m}
theorem progMeasurable_min_stopping_time [MetrizableSpace ι] (hτ : IsStoppingTime f τ) :
ProgMeasurable f fun i ω => min i (τ ω) := by
intro i
let m_prod : MeasurableSpace (Set.Iic i × Ω) := Subtype.instMeasurableSpace.prod (f i)
let m_set : ∀ t : Set (Set.Iic i × Ω), MeasurableSpace t := fun _ =>
@Subtype.instMeasurableSpace (Set.Iic i × Ω) _ m_prod
let s := {p : Set.Iic i × Ω | τ p.2 ≤ i}
have hs : MeasurableSet[m_prod] s := @measurable_snd (Set.Iic i) Ω _ (f i) _ (hτ i)
have h_meas_fst : ∀ t : Set (Set.Iic i × Ω),
Measurable[m_set t] fun x : t => ((x : Set.Iic i × Ω).fst : ι) :=
fun t => (@measurable_subtype_coe (Set.Iic i × Ω) m_prod _).fst.subtype_val
apply Measurable.stronglyMeasurable
refine measurable_of_restrict_of_restrict_compl hs ?_ ?_
· refine @Measurable.min _ _ _ _ _ (m_set s) _ _ _ _ _ (h_meas_fst s) ?_
refine @measurable_of_Iic ι s _ _ _ (m_set s) _ _ _ _ fun j => ?_
have h_set_eq : (fun x : s => τ (x : Set.Iic i × Ω).snd) ⁻¹' Set.Iic j =
(fun x : s => (x : Set.Iic i × Ω).snd) ⁻¹' {ω | τ ω ≤ min i j} := by
ext1 ω
simp only [Set.mem_preimage, Set.mem_Iic, iff_and_self, le_min_iff, Set.mem_setOf_eq]
exact fun _ => ω.prop
rw [h_set_eq]
suffices h_meas : @Measurable _ _ (m_set s) (f i) fun x : s ↦ (x : Set.Iic i × Ω).snd from
h_meas (f.mono (min_le_left _ _) _ (hτ.measurableSet_le (min i j)))
exact measurable_snd.comp (@measurable_subtype_coe _ m_prod _)
· letI sc := sᶜ
suffices h_min_eq_left :
(fun x : sc => min (↑(x : Set.Iic i × Ω).fst) (τ (x : Set.Iic i × Ω).snd)) = fun x : sc =>
↑(x : Set.Iic i × Ω).fst by
simp (config := { unfoldPartialApp := true }) only [Set.restrict, h_min_eq_left]
exact h_meas_fst _
ext1 ω
rw [min_eq_left]
have hx_fst_le : ↑(ω : Set.Iic i × Ω).fst ≤ i := (ω : Set.Iic i × Ω).fst.prop
refine hx_fst_le.trans (le_of_lt ?_)
convert ω.prop
simp only [sc, s, not_le, Set.mem_compl_iff, Set.mem_setOf_eq]
#align measure_theory.prog_measurable_min_stopping_time MeasureTheory.progMeasurable_min_stopping_time
theorem ProgMeasurable.stoppedProcess [MetrizableSpace ι] (h : ProgMeasurable f u)
(hτ : IsStoppingTime f τ) : ProgMeasurable f (stoppedProcess u τ) :=
h.comp (progMeasurable_min_stopping_time hτ) fun _ _ => min_le_left _ _
#align measure_theory.prog_measurable.stopped_process MeasureTheory.ProgMeasurable.stoppedProcess
theorem ProgMeasurable.adapted_stoppedProcess [MetrizableSpace ι] (h : ProgMeasurable f u)
(hτ : IsStoppingTime f τ) : Adapted f (MeasureTheory.stoppedProcess u τ) :=
(h.stoppedProcess hτ).adapted
#align measure_theory.prog_measurable.adapted_stopped_process MeasureTheory.ProgMeasurable.adapted_stoppedProcess
theorem ProgMeasurable.stronglyMeasurable_stoppedProcess [MetrizableSpace ι]
(hu : ProgMeasurable f u) (hτ : IsStoppingTime f τ) (i : ι) :
StronglyMeasurable (MeasureTheory.stoppedProcess u τ i) :=
(hu.adapted_stoppedProcess hτ i).mono (f.le _)
#align measure_theory.prog_measurable.strongly_measurable_stopped_process MeasureTheory.ProgMeasurable.stronglyMeasurable_stoppedProcess
theorem stronglyMeasurable_stoppedValue_of_le (h : ProgMeasurable f u) (hτ : IsStoppingTime f τ)
{n : ι} (hτ_le : ∀ ω, τ ω ≤ n) : StronglyMeasurable[f n] (stoppedValue u τ) := by
have : stoppedValue u τ =
(fun p : Set.Iic n × Ω => u (↑p.fst) p.snd) ∘ fun ω => (⟨τ ω, hτ_le ω⟩, ω) := by
ext1 ω; simp only [stoppedValue, Function.comp_apply, Subtype.coe_mk]
rw [this]
refine StronglyMeasurable.comp_measurable (h n) ?_
exact (hτ.measurable_of_le hτ_le).subtype_mk.prod_mk measurable_id
#align measure_theory.strongly_measurable_stopped_value_of_le MeasureTheory.stronglyMeasurable_stoppedValue_of_le
theorem measurable_stoppedValue [MetrizableSpace β] [MeasurableSpace β] [BorelSpace β]
(hf_prog : ProgMeasurable f u) (hτ : IsStoppingTime f τ) :
Measurable[hτ.measurableSpace] (stoppedValue u τ) := by
have h_str_meas : ∀ i, StronglyMeasurable[f i] (stoppedValue u fun ω => min (τ ω) i) := fun i =>
stronglyMeasurable_stoppedValue_of_le hf_prog (hτ.min_const i) fun _ => min_le_right _ _
intro t ht i
suffices stoppedValue u τ ⁻¹' t ∩ {ω : Ω | τ ω ≤ i} =
(stoppedValue u fun ω => min (τ ω) i) ⁻¹' t ∩ {ω : Ω | τ ω ≤ i} by
rw [this]; exact ((h_str_meas i).measurable ht).inter (hτ.measurableSet_le i)
ext1 ω
simp only [stoppedValue, Set.mem_inter_iff, Set.mem_preimage, Set.mem_setOf_eq,
and_congr_left_iff]
intro h
rw [min_eq_left h]
#align measure_theory.measurable_stopped_value MeasureTheory.measurable_stoppedValue
end ProgMeasurable
end LinearOrder
section StoppedValueOfMemFinset
variable {μ : Measure Ω} {τ σ : Ω → ι} {E : Type*} {p : ℝ≥0∞} {u : ι → Ω → E}
theorem stoppedValue_eq_of_mem_finset [AddCommMonoid E] {s : Finset ι} (hbdd : ∀ ω, τ ω ∈ s) :
stoppedValue u τ = ∑ i ∈ s, Set.indicator {ω | τ ω = i} (u i) := by
ext y
rw [stoppedValue, Finset.sum_apply, Finset.sum_indicator_eq_sum_filter]
suffices Finset.filter (fun i => y ∈ {ω : Ω | τ ω = i}) s = ({τ y} : Finset ι) by
rw [this, Finset.sum_singleton]
ext1 ω
simp only [Set.mem_setOf_eq, Finset.mem_filter, Finset.mem_singleton]
constructor <;> intro h
· exact h.2.symm
· refine ⟨?_, h.symm⟩; rw [h]; exact hbdd y
#align measure_theory.stopped_value_eq_of_mem_finset MeasureTheory.stoppedValue_eq_of_mem_finset
theorem stoppedValue_eq' [Preorder ι] [LocallyFiniteOrderBot ι] [AddCommMonoid E] {N : ι}
(hbdd : ∀ ω, τ ω ≤ N) :
stoppedValue u τ = ∑ i ∈ Finset.Iic N, Set.indicator {ω | τ ω = i} (u i) :=
stoppedValue_eq_of_mem_finset fun ω => Finset.mem_Iic.mpr (hbdd ω)
#align measure_theory.stopped_value_eq' MeasureTheory.stoppedValue_eq'
theorem stoppedProcess_eq_of_mem_finset [LinearOrder ι] [AddCommMonoid E] {s : Finset ι} (n : ι)
(hbdd : ∀ ω, τ ω < n → τ ω ∈ s) : stoppedProcess u τ n = Set.indicator {a | n ≤ τ a} (u n) +
∑ i ∈ s.filter (· < n), Set.indicator {ω | τ ω = i} (u i) := by
ext ω
rw [Pi.add_apply, Finset.sum_apply]
rcases le_or_lt n (τ ω) with h | h
· rw [stoppedProcess_eq_of_le h, Set.indicator_of_mem, Finset.sum_eq_zero, add_zero]
· intro m hm
refine Set.indicator_of_not_mem ?_ _
rw [Finset.mem_filter] at hm
exact (hm.2.trans_le h).ne'
· exact h
· rw [stoppedProcess_eq_of_ge (le_of_lt h), Finset.sum_eq_single_of_mem (τ ω)]
· rw [Set.indicator_of_not_mem, zero_add, Set.indicator_of_mem] <;> rw [Set.mem_setOf]
exact not_le.2 h
· rw [Finset.mem_filter]
exact ⟨hbdd ω h, h⟩
· intro b _ hneq
rw [Set.indicator_of_not_mem]
rw [Set.mem_setOf]
exact hneq.symm
#align measure_theory.stopped_process_eq_of_mem_finset MeasureTheory.stoppedProcess_eq_of_mem_finset
theorem stoppedProcess_eq'' [LinearOrder ι] [LocallyFiniteOrderBot ι] [AddCommMonoid E] (n : ι) :
stoppedProcess u τ n = Set.indicator {a | n ≤ τ a} (u n) +
∑ i ∈ Finset.Iio n, Set.indicator {ω | τ ω = i} (u i) := by
have h_mem : ∀ ω, τ ω < n → τ ω ∈ Finset.Iio n := fun ω h => Finset.mem_Iio.mpr h
rw [stoppedProcess_eq_of_mem_finset n h_mem]
congr with i
simp
#align measure_theory.stopped_process_eq'' MeasureTheory.stoppedProcess_eq''
section StoppedValue
variable [PartialOrder ι] {ℱ : Filtration ι m} [NormedAddCommGroup E]
theorem memℒp_stoppedValue_of_mem_finset (hτ : IsStoppingTime ℱ τ) (hu : ∀ n, Memℒp (u n) p μ)
{s : Finset ι} (hbdd : ∀ ω, τ ω ∈ s) : Memℒp (stoppedValue u τ) p μ := by
rw [stoppedValue_eq_of_mem_finset hbdd]
refine memℒp_finset_sum' _ fun i _ => Memℒp.indicator ?_ (hu i)
refine ℱ.le i {a : Ω | τ a = i} (hτ.measurableSet_eq_of_countable_range ?_ i)
refine ((Finset.finite_toSet s).subset fun ω hω => ?_).countable
obtain ⟨y, rfl⟩ := hω
exact hbdd y
#align measure_theory.mem_ℒp_stopped_value_of_mem_finset MeasureTheory.memℒp_stoppedValue_of_mem_finset
theorem memℒp_stoppedValue [LocallyFiniteOrderBot ι] (hτ : IsStoppingTime ℱ τ)
(hu : ∀ n, Memℒp (u n) p μ) {N : ι} (hbdd : ∀ ω, τ ω ≤ N) : Memℒp (stoppedValue u τ) p μ :=
memℒp_stoppedValue_of_mem_finset hτ hu fun ω => Finset.mem_Iic.mpr (hbdd ω)
#align measure_theory.mem_ℒp_stopped_value MeasureTheory.memℒp_stoppedValue
theorem integrable_stoppedValue_of_mem_finset (hτ : IsStoppingTime ℱ τ)
(hu : ∀ n, Integrable (u n) μ) {s : Finset ι} (hbdd : ∀ ω, τ ω ∈ s) :
Integrable (stoppedValue u τ) μ := by
simp_rw [← memℒp_one_iff_integrable] at hu ⊢
exact memℒp_stoppedValue_of_mem_finset hτ hu hbdd
#align measure_theory.integrable_stopped_value_of_mem_finset MeasureTheory.integrable_stoppedValue_of_mem_finset
variable (ι)
theorem integrable_stoppedValue [LocallyFiniteOrderBot ι] (hτ : IsStoppingTime ℱ τ)
(hu : ∀ n, Integrable (u n) μ) {N : ι} (hbdd : ∀ ω, τ ω ≤ N) :
Integrable (stoppedValue u τ) μ :=
integrable_stoppedValue_of_mem_finset hτ hu fun ω => Finset.mem_Iic.mpr (hbdd ω)
#align measure_theory.integrable_stopped_value MeasureTheory.integrable_stoppedValue
end StoppedValue
section StoppedProcess
variable [LinearOrder ι] [TopologicalSpace ι] [OrderTopology ι] [FirstCountableTopology ι]
{ℱ : Filtration ι m} [NormedAddCommGroup E]
theorem memℒp_stoppedProcess_of_mem_finset (hτ : IsStoppingTime ℱ τ) (hu : ∀ n, Memℒp (u n) p μ)
(n : ι) {s : Finset ι} (hbdd : ∀ ω, τ ω < n → τ ω ∈ s) : Memℒp (stoppedProcess u τ n) p μ := by
rw [stoppedProcess_eq_of_mem_finset n hbdd]
refine Memℒp.add ?_ ?_
· exact Memℒp.indicator (ℱ.le n {a : Ω | n ≤ τ a} (hτ.measurableSet_ge n)) (hu n)
· suffices Memℒp (fun ω => ∑ i ∈ s.filter (· < n), {a : Ω | τ a = i}.indicator (u i) ω) p μ by
convert this using 1; ext1 ω; simp only [Finset.sum_apply]
refine memℒp_finset_sum _ fun i _ => Memℒp.indicator ?_ (hu i)
exact ℱ.le i {a : Ω | τ a = i} (hτ.measurableSet_eq i)
#align measure_theory.mem_ℒp_stopped_process_of_mem_finset MeasureTheory.memℒp_stoppedProcess_of_mem_finset
theorem memℒp_stoppedProcess [LocallyFiniteOrderBot ι] (hτ : IsStoppingTime ℱ τ)
(hu : ∀ n, Memℒp (u n) p μ) (n : ι) : Memℒp (stoppedProcess u τ n) p μ :=
memℒp_stoppedProcess_of_mem_finset hτ hu n fun _ h => Finset.mem_Iio.mpr h
#align measure_theory.mem_ℒp_stopped_process MeasureTheory.memℒp_stoppedProcess
theorem integrable_stoppedProcess_of_mem_finset (hτ : IsStoppingTime ℱ τ)
(hu : ∀ n, Integrable (u n) μ) (n : ι) {s : Finset ι} (hbdd : ∀ ω, τ ω < n → τ ω ∈ s) :
Integrable (stoppedProcess u τ n) μ := by
simp_rw [← memℒp_one_iff_integrable] at hu ⊢
exact memℒp_stoppedProcess_of_mem_finset hτ hu n hbdd
#align measure_theory.integrable_stopped_process_of_mem_finset MeasureTheory.integrable_stoppedProcess_of_mem_finset
theorem integrable_stoppedProcess [LocallyFiniteOrderBot ι] (hτ : IsStoppingTime ℱ τ)
(hu : ∀ n, Integrable (u n) μ) (n : ι) : Integrable (stoppedProcess u τ n) μ :=
integrable_stoppedProcess_of_mem_finset hτ hu n fun _ h => Finset.mem_Iio.mpr h
#align measure_theory.integrable_stopped_process MeasureTheory.integrable_stoppedProcess
end StoppedProcess
end StoppedValueOfMemFinset
section AdaptedStoppedProcess
variable [TopologicalSpace β] [PseudoMetrizableSpace β] [LinearOrder ι] [TopologicalSpace ι]
[SecondCountableTopology ι] [OrderTopology ι] [MeasurableSpace ι] [BorelSpace ι]
{f : Filtration ι m} {u : ι → Ω → β} {τ : Ω → ι}
/-- The stopped process of an adapted process with continuous paths is adapted. -/
theorem Adapted.stoppedProcess [MetrizableSpace ι] (hu : Adapted f u)
(hu_cont : ∀ ω, Continuous fun i => u i ω) (hτ : IsStoppingTime f τ) :
Adapted f (stoppedProcess u τ) :=
((hu.progMeasurable_of_continuous hu_cont).stoppedProcess hτ).adapted
#align measure_theory.adapted.stopped_process MeasureTheory.Adapted.stoppedProcess
/-- If the indexing order has the discrete topology, then the stopped process of an adapted process
is adapted. -/
theorem Adapted.stoppedProcess_of_discrete [DiscreteTopology ι] (hu : Adapted f u)
(hτ : IsStoppingTime f τ) : Adapted f (MeasureTheory.stoppedProcess u τ) :=
(hu.progMeasurable_of_discrete.stoppedProcess hτ).adapted
#align measure_theory.adapted.stopped_process_of_discrete MeasureTheory.Adapted.stoppedProcess_of_discrete
theorem Adapted.stronglyMeasurable_stoppedProcess [MetrizableSpace ι] (hu : Adapted f u)
(hu_cont : ∀ ω, Continuous fun i => u i ω) (hτ : IsStoppingTime f τ) (n : ι) :
StronglyMeasurable (MeasureTheory.stoppedProcess u τ n) :=
(hu.progMeasurable_of_continuous hu_cont).stronglyMeasurable_stoppedProcess hτ n
#align measure_theory.adapted.strongly_measurable_stopped_process MeasureTheory.Adapted.stronglyMeasurable_stoppedProcess
theorem Adapted.stronglyMeasurable_stoppedProcess_of_discrete [DiscreteTopology ι]
(hu : Adapted f u) (hτ : IsStoppingTime f τ) (n : ι) :
StronglyMeasurable (MeasureTheory.stoppedProcess u τ n) :=
hu.progMeasurable_of_discrete.stronglyMeasurable_stoppedProcess hτ n
#align measure_theory.adapted.strongly_measurable_stopped_process_of_discrete MeasureTheory.Adapted.stronglyMeasurable_stoppedProcess_of_discrete
end AdaptedStoppedProcess
section Nat
/-! ### Filtrations indexed by `ℕ` -/
open Filtration
variable {f : Filtration ℕ m} {u : ℕ → Ω → β} {τ π : Ω → ℕ}
theorem stoppedValue_sub_eq_sum [AddCommGroup β] (hle : τ ≤ π) :
stoppedValue u π - stoppedValue u τ = fun ω =>
(∑ i ∈ Finset.Ico (τ ω) (π ω), (u (i + 1) - u i)) ω := by
ext ω
rw [Finset.sum_Ico_eq_sub _ (hle ω), Finset.sum_range_sub, Finset.sum_range_sub]
simp [stoppedValue]
#align measure_theory.stopped_value_sub_eq_sum MeasureTheory.stoppedValue_sub_eq_sum
theorem stoppedValue_sub_eq_sum' [AddCommGroup β] (hle : τ ≤ π) {N : ℕ} (hbdd : ∀ ω, π ω ≤ N) :
stoppedValue u π - stoppedValue u τ = fun ω =>
(∑ i ∈ Finset.range (N + 1), Set.indicator {ω | τ ω ≤ i ∧ i < π ω} (u (i + 1) - u i)) ω := by
rw [stoppedValue_sub_eq_sum hle]
ext ω
simp only [Finset.sum_apply, Finset.sum_indicator_eq_sum_filter]
refine Finset.sum_congr ?_ fun _ _ => rfl
ext i
simp only [Finset.mem_filter, Set.mem_setOf_eq, Finset.mem_range, Finset.mem_Ico]
exact ⟨fun h => ⟨lt_trans h.2 (Nat.lt_succ_iff.2 <| hbdd _), h⟩, fun h => h.2⟩
#align measure_theory.stopped_value_sub_eq_sum' MeasureTheory.stoppedValue_sub_eq_sum'
section AddCommMonoid
variable [AddCommMonoid β]
theorem stoppedValue_eq {N : ℕ} (hbdd : ∀ ω, τ ω ≤ N) : stoppedValue u τ = fun x =>
(∑ i ∈ Finset.range (N + 1), Set.indicator {ω | τ ω = i} (u i)) x :=
stoppedValue_eq_of_mem_finset fun ω => Finset.mem_range_succ_iff.mpr (hbdd ω)
#align measure_theory.stopped_value_eq MeasureTheory.stoppedValue_eq
theorem stoppedProcess_eq (n : ℕ) : stoppedProcess u τ n = Set.indicator {a | n ≤ τ a} (u n) +
∑ i ∈ Finset.range n, Set.indicator {ω | τ ω = i} (u i) := by
rw [stoppedProcess_eq'' n]
congr with i
rw [Finset.mem_Iio, Finset.mem_range]
#align measure_theory.stopped_process_eq MeasureTheory.stoppedProcess_eq
theorem stoppedProcess_eq' (n : ℕ) : stoppedProcess u τ n = Set.indicator {a | n + 1 ≤ τ a} (u n) +
∑ i ∈ Finset.range (n + 1), Set.indicator {a | τ a = i} (u i) := by
have : {a | n ≤ τ a}.indicator (u n) =
{a | n + 1 ≤ τ a}.indicator (u n) + {a | τ a = n}.indicator (u n) := by
ext x
rw [add_comm, Pi.add_apply, ← Set.indicator_union_of_not_mem_inter]
· simp_rw [@eq_comm _ _ n, @le_iff_eq_or_lt _ _ n, Nat.succ_le_iff, Set.setOf_or]
· rintro ⟨h₁, h₂⟩
rw [Set.mem_setOf] at h₁ h₂
exact (Nat.succ_le_iff.1 h₂).ne h₁.symm
rw [stoppedProcess_eq, this, Finset.sum_range_succ_comm, ← add_assoc]
#align measure_theory.stopped_process_eq' MeasureTheory.stoppedProcess_eq'
end AddCommMonoid
end Nat
section PiecewiseConst
variable [Preorder ι] {𝒢 : Filtration ι m} {τ η : Ω → ι} {i j : ι} {s : Set Ω}
[DecidablePred (· ∈ s)]
/-- Given stopping times `τ` and `η` which are bounded below, `Set.piecewise s τ η` is also
a stopping time with respect to the same filtration. -/
theorem IsStoppingTime.piecewise_of_le (hτ_st : IsStoppingTime 𝒢 τ) (hη_st : IsStoppingTime 𝒢 η)
(hτ : ∀ ω, i ≤ τ ω) (hη : ∀ ω, i ≤ η ω) (hs : MeasurableSet[𝒢 i] s) :
IsStoppingTime 𝒢 (s.piecewise τ η) := by
intro n
have : {ω | s.piecewise τ η ω ≤ n} = s ∩ {ω | τ ω ≤ n} ∪ sᶜ ∩ {ω | η ω ≤ n} := by
ext1 ω
simp only [Set.piecewise, Set.mem_inter_iff, Set.mem_setOf_eq, and_congr_right_iff]
by_cases hx : ω ∈ s <;> simp [hx]
rw [this]
by_cases hin : i ≤ n
· have hs_n : MeasurableSet[𝒢 n] s := 𝒢.mono hin _ hs
exact (hs_n.inter (hτ_st n)).union (hs_n.compl.inter (hη_st n))
· have hτn : ∀ ω, ¬τ ω ≤ n := fun ω hτn => hin ((hτ ω).trans hτn)
have hηn : ∀ ω, ¬η ω ≤ n := fun ω hηn => hin ((hη ω).trans hηn)
simp [hτn, hηn, @MeasurableSet.empty _ _]
#align measure_theory.is_stopping_time.piecewise_of_le MeasureTheory.IsStoppingTime.piecewise_of_le
theorem isStoppingTime_piecewise_const (hij : i ≤ j) (hs : MeasurableSet[𝒢 i] s) :
IsStoppingTime 𝒢 (s.piecewise (fun _ => i) fun _ => j) :=
(isStoppingTime_const 𝒢 i).piecewise_of_le (isStoppingTime_const 𝒢 j) (fun _ => le_rfl)
(fun _ => hij) hs
#align measure_theory.is_stopping_time_piecewise_const MeasureTheory.isStoppingTime_piecewise_const
theorem stoppedValue_piecewise_const {ι' : Type*} {i j : ι'} {f : ι' → Ω → ℝ} :
stoppedValue f (s.piecewise (fun _ => i) fun _ => j) = s.piecewise (f i) (f j) := by
ext ω; rw [stoppedValue]; by_cases hx : ω ∈ s <;> simp [hx]
#align measure_theory.stopped_value_piecewise_const MeasureTheory.stoppedValue_piecewise_const
theorem stoppedValue_piecewise_const' {ι' : Type*} {i j : ι'} {f : ι' → Ω → ℝ} :
stoppedValue f (s.piecewise (fun _ => i) fun _ => j) =
s.indicator (f i) + sᶜ.indicator (f j) := by
ext ω; rw [stoppedValue]; by_cases hx : ω ∈ s <;> simp [hx]
#align measure_theory.stopped_value_piecewise_const' MeasureTheory.stoppedValue_piecewise_const'
end PiecewiseConst
section Condexp
/-! ### Conditional expectation with respect to the σ-algebra generated by a stopping time -/
variable [LinearOrder ι] {μ : Measure Ω} {ℱ : Filtration ι m} {τ σ : Ω → ι} {E : Type*}
[NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {f : Ω → E}
theorem condexp_stopping_time_ae_eq_restrict_eq_of_countable_range [SigmaFiniteFiltration μ ℱ]
(hτ : IsStoppingTime ℱ τ) (h_countable : (Set.range τ).Countable)
[SigmaFinite (μ.trim (hτ.measurableSpace_le_of_countable_range h_countable))] (i : ι) :
μ[f|hτ.measurableSpace] =ᵐ[μ.restrict {x | τ x = i}] μ[f|ℱ i] := by
refine condexp_ae_eq_restrict_of_measurableSpace_eq_on
(hτ.measurableSpace_le_of_countable_range h_countable) (ℱ.le i)
(hτ.measurableSet_eq_of_countable_range' h_countable i) fun t => ?_
rw [Set.inter_comm _ t, IsStoppingTime.measurableSet_inter_eq_iff]
#align measure_theory.condexp_stopping_time_ae_eq_restrict_eq_of_countable_range MeasureTheory.condexp_stopping_time_ae_eq_restrict_eq_of_countable_range
theorem condexp_stopping_time_ae_eq_restrict_eq_of_countable [Countable ι]
[SigmaFiniteFiltration μ ℱ] (hτ : IsStoppingTime ℱ τ)
[SigmaFinite (μ.trim hτ.measurableSpace_le_of_countable)] (i : ι) :
μ[f|hτ.measurableSpace] =ᵐ[μ.restrict {x | τ x = i}] μ[f|ℱ i] :=
condexp_stopping_time_ae_eq_restrict_eq_of_countable_range hτ (Set.to_countable _) i
#align measure_theory.condexp_stopping_time_ae_eq_restrict_eq_of_countable MeasureTheory.condexp_stopping_time_ae_eq_restrict_eq_of_countable
variable [(Filter.atTop : Filter ι).IsCountablyGenerated]
theorem condexp_min_stopping_time_ae_eq_restrict_le_const (hτ : IsStoppingTime ℱ τ) (i : ι)
[SigmaFinite (μ.trim (hτ.min_const i).measurableSpace_le)] :
μ[f|(hτ.min_const i).measurableSpace] =ᵐ[μ.restrict {x | τ x ≤ i}] μ[f|hτ.measurableSpace] := by
have : SigmaFinite (μ.trim hτ.measurableSpace_le) :=
haveI h_le : (hτ.min_const i).measurableSpace ≤ hτ.measurableSpace := by
rw [IsStoppingTime.measurableSpace_min_const]
exact inf_le_left
sigmaFiniteTrim_mono _ h_le
refine (condexp_ae_eq_restrict_of_measurableSpace_eq_on hτ.measurableSpace_le
(hτ.min_const i).measurableSpace_le (hτ.measurableSet_le' i) fun t => ?_).symm
rw [Set.inter_comm _ t, hτ.measurableSet_inter_le_const_iff]
#align measure_theory.condexp_min_stopping_time_ae_eq_restrict_le_const MeasureTheory.condexp_min_stopping_time_ae_eq_restrict_le_const
variable [TopologicalSpace ι] [OrderTopology ι]
theorem condexp_stopping_time_ae_eq_restrict_eq [FirstCountableTopology ι]
[SigmaFiniteFiltration μ ℱ] (hτ : IsStoppingTime ℱ τ)
[SigmaFinite (μ.trim hτ.measurableSpace_le)] (i : ι) :
μ[f|hτ.measurableSpace] =ᵐ[μ.restrict {x | τ x = i}] μ[f|ℱ i] := by
refine condexp_ae_eq_restrict_of_measurableSpace_eq_on hτ.measurableSpace_le (ℱ.le i)
(hτ.measurableSet_eq' i) fun t => ?_
rw [Set.inter_comm _ t, IsStoppingTime.measurableSet_inter_eq_iff]
#align measure_theory.condexp_stopping_time_ae_eq_restrict_eq MeasureTheory.condexp_stopping_time_ae_eq_restrict_eq
| Mathlib/Probability/Process/Stopping.lean | 1,203 | 1,215 | theorem condexp_min_stopping_time_ae_eq_restrict_le [MeasurableSpace ι] [SecondCountableTopology ι]
[BorelSpace ι] (hτ : IsStoppingTime ℱ τ) (hσ : IsStoppingTime ℱ σ)
[SigmaFinite (μ.trim (hτ.min hσ).measurableSpace_le)] :
μ[f|(hτ.min hσ).measurableSpace] =ᵐ[μ.restrict {x | τ x ≤ σ x}] μ[f|hτ.measurableSpace] := by |
have : SigmaFinite (μ.trim hτ.measurableSpace_le) :=
haveI h_le : (hτ.min hσ).measurableSpace ≤ hτ.measurableSpace := by
rw [IsStoppingTime.measurableSpace_min]
· exact inf_le_left
· simp_all only
sigmaFiniteTrim_mono _ h_le
refine (condexp_ae_eq_restrict_of_measurableSpace_eq_on hτ.measurableSpace_le
(hτ.min hσ).measurableSpace_le (hτ.measurableSet_le_stopping_time hσ) fun t => ?_).symm
rw [Set.inter_comm _ t, IsStoppingTime.measurableSet_inter_le_iff]; simp_all only
|
/-
Copyright (c) 2018 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Johannes Hölzl, Yaël Dillies
-/
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"
/-!
# Normed (semi)groups
In this file we define 10 classes:
* `Norm`, `NNNorm`: auxiliary classes endowing a type `α` with a function `norm : α → ℝ`
(notation: `‖x‖`) and `nnnorm : α → ℝ≥0` (notation: `‖x‖₊`), respectively;
* `Seminormed...Group`: A seminormed (additive) (commutative) group is an (additive) (commutative)
group with a norm and a compatible pseudometric space structure:
`∀ x y, dist x y = ‖x / y‖` or `∀ x y, dist x y = ‖x - y‖`, depending on the group operation.
* `Normed...Group`: A normed (additive) (commutative) group is an (additive) (commutative) group
with a norm and a compatible metric space structure.
We also prove basic properties of (semi)normed groups and provide some instances.
## TODO
This file is huge; move material into separate files,
such as `Mathlib/Analysis/Normed/Group/Lemmas.lean`.
## Notes
The current convention `dist x y = ‖x - y‖` means that the distance is invariant under right
addition, but actions in mathlib are usually from the left. This means we might want to change it to
`dist x y = ‖-x + y‖`.
The normed group hierarchy would lend itself well to a mixin design (that is, having
`SeminormedGroup` and `SeminormedAddGroup` not extend `Group` and `AddGroup`), but we choose not
to for performance concerns.
## Tags
normed group
-/
variable {𝓕 𝕜 α ι κ E F G : Type*}
open Filter Function Metric Bornology
open ENNReal Filter NNReal Uniformity Pointwise Topology
/-- Auxiliary class, endowing a type `E` with a function `norm : E → ℝ` with notation `‖x‖`. This
class is designed to be extended in more interesting classes specifying the properties of the norm.
-/
@[notation_class]
class Norm (E : Type*) where
/-- the `ℝ`-valued norm function. -/
norm : E → ℝ
#align has_norm Norm
/-- Auxiliary class, endowing a type `α` with a function `nnnorm : α → ℝ≥0` with notation `‖x‖₊`. -/
@[notation_class]
class NNNorm (E : Type*) where
/-- the `ℝ≥0`-valued norm function. -/
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
/-- A seminormed group is an additive group endowed with a norm for which `dist x y = ‖x - y‖`
defines a pseudometric space structure. -/
class SeminormedAddGroup (E : Type*) extends Norm E, AddGroup E, PseudoMetricSpace E where
dist := fun x y => ‖x - y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align seminormed_add_group SeminormedAddGroup
/-- A seminormed group is a group endowed with a norm for which `dist x y = ‖x / y‖` defines a
pseudometric space structure. -/
@[to_additive]
class SeminormedGroup (E : Type*) extends Norm E, Group E, PseudoMetricSpace E where
dist := fun x y => ‖x / y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align seminormed_group SeminormedGroup
/-- A normed group is an additive group endowed with a norm for which `dist x y = ‖x - y‖` defines a
metric space structure. -/
class NormedAddGroup (E : Type*) extends Norm E, AddGroup E, MetricSpace E where
dist := fun x y => ‖x - y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align normed_add_group NormedAddGroup
/-- A normed group is a group endowed with a norm for which `dist x y = ‖x / y‖` defines a metric
space structure. -/
@[to_additive]
class NormedGroup (E : Type*) extends Norm E, Group E, MetricSpace E where
dist := fun x y => ‖x / y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align normed_group NormedGroup
/-- A seminormed group is an additive group endowed with a norm for which `dist x y = ‖x - y‖`
defines a pseudometric space structure. -/
class SeminormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E,
PseudoMetricSpace E where
dist := fun x y => ‖x - y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align seminormed_add_comm_group SeminormedAddCommGroup
/-- A seminormed group is a group endowed with a norm for which `dist x y = ‖x / y‖`
defines a pseudometric space structure. -/
@[to_additive]
class SeminormedCommGroup (E : Type*) extends Norm E, CommGroup E, PseudoMetricSpace E where
dist := fun x y => ‖x / y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align seminormed_comm_group SeminormedCommGroup
/-- A normed group is an additive group endowed with a norm for which `dist x y = ‖x - y‖` defines a
metric space structure. -/
class NormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, MetricSpace E where
dist := fun x y => ‖x - y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align normed_add_comm_group NormedAddCommGroup
/-- A normed group is a group endowed with a norm for which `dist x y = ‖x / y‖` defines a metric
space structure. -/
@[to_additive]
class NormedCommGroup (E : Type*) extends Norm E, CommGroup E, MetricSpace E where
dist := fun x y => ‖x / y‖
/-- The distance function is induced by the norm. -/
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]
/-- Construct a `NormedGroup` from a `SeminormedGroup` satisfying `∀ x, ‖x‖ = 0 → x = 1`. This
avoids having to go back to the `(Pseudo)MetricSpace` level when declaring a `NormedGroup`
instance as a special case of a more general `SeminormedGroup` instance. -/
@[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]
/-- Construct a `NormedCommGroup` from a `SeminormedCommGroup` satisfying
`∀ x, ‖x‖ = 0 → x = 1`. This avoids having to go back to the `(Pseudo)MetricSpace` level when
declaring a `NormedCommGroup` instance as a special case of a more general `SeminormedCommGroup`
instance. -/
@[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]
/-- Construct a seminormed group from a multiplication-invariant distance. -/
@[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]
/-- Construct a seminormed group from a multiplication-invariant pseudodistance. -/
@[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]
/-- Construct a seminormed group from a multiplication-invariant pseudodistance. -/
@[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]
/-- Construct a seminormed group from a multiplication-invariant pseudodistance. -/
@[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]
/-- Construct a normed group from a multiplication-invariant distance. -/
@[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]
/-- Construct a normed group from a multiplication-invariant pseudodistance. -/
@[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]
/-- Construct a normed group from a multiplication-invariant pseudodistance. -/
@[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]
/-- Construct a normed group from a multiplication-invariant pseudodistance. -/
@[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]
/-- 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`). -/
@[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]
/-- 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`). -/
@[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]
/-- 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`). -/
@[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]
/-- 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`). -/
@[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']
/-- In a (semi)normed group, inversion `x ↦ x⁻¹` tends to infinity at infinity. -/
@[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
/-- **Triangle inequality** for the norm. -/
@[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
namespace Mathlib.Meta.Positivity
open Lean Meta Qq Function
/-- Extension for the `positivity` tactic: multiplicative norms are nonnegative, via
`norm_nonneg'`. -/
@[positivity Norm.norm _]
def evalMulNorm : PositivityExt where eval {u α} _zα _pα e := do
match u, α, e with
| 0, ~q(ℝ), ~q(@Norm.norm $β $instDist $a) =>
let _inst ← synthInstanceQ q(SeminormedGroup $β)
assertInstancesCommute
pure (.nonnegative q(norm_nonneg' $a))
| _, _, _ => throwError "not ‖ · ‖"
/-- Extension for the `positivity` tactic: additive norms are nonnegative, via `norm_nonneg`. -/
@[positivity Norm.norm _]
def evalAddNorm : PositivityExt where eval {u α} _zα _pα e := do
match u, α, e with
| 0, ~q(ℝ), ~q(@Norm.norm $β $instDist $a) =>
let _inst ← synthInstanceQ q(SeminormedAddGroup $β)
assertInstancesCommute
pure (.nonnegative q(norm_nonneg $a))
| _, _, _ => throwError "not ‖ · ‖"
end Mathlib.Meta.Positivity
@[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]
| Mathlib/Analysis/Normed/Group/Basic.lean | 609 | 610 | theorem zero_lt_one_add_norm_sq' (x : E) : 0 < 1 + ‖x‖ ^ 2 := by |
positivity
|
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.Algebra.CharP.Two
import Mathlib.Algebra.CharP.Reduced
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.GroupTheory.SpecificGroups.Cyclic
import Mathlib.NumberTheory.Divisors
import Mathlib.RingTheory.IntegralDomain
import Mathlib.Tactic.Zify
#align_import ring_theory.roots_of_unity.basic from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f"
/-!
# Roots of unity and primitive roots of unity
We define roots of unity in the context of an arbitrary commutative monoid,
as a subgroup of the group of units. We also define a predicate `IsPrimitiveRoot` on commutative
monoids, expressing that an element is a primitive root of unity.
## Main definitions
* `rootsOfUnity n M`, for `n : ℕ+` is the subgroup of the units of a commutative monoid `M`
consisting of elements `x` that satisfy `x ^ n = 1`.
* `IsPrimitiveRoot ζ k`: an element `ζ` is a primitive `k`-th root of unity if `ζ ^ k = 1`,
and if `l` satisfies `ζ ^ l = 1` then `k ∣ l`.
* `primitiveRoots k R`: the finset of primitive `k`-th roots of unity in an integral domain `R`.
* `IsPrimitiveRoot.autToPow`: the monoid hom that takes an automorphism of a ring to the power
it sends that specific primitive root, as a member of `(ZMod n)ˣ`.
## Main results
* `rootsOfUnity.isCyclic`: the roots of unity in an integral domain form a cyclic group.
* `IsPrimitiveRoot.zmodEquivZPowers`: `ZMod k` is equivalent to
the subgroup generated by a primitive `k`-th root of unity.
* `IsPrimitiveRoot.zpowers_eq`: in an integral domain, the subgroup generated by
a primitive `k`-th root of unity is equal to the `k`-th roots of unity.
* `IsPrimitiveRoot.card_primitiveRoots`: if an integral domain
has a primitive `k`-th root of unity, then it has `φ k` of them.
## Implementation details
It is desirable that `rootsOfUnity` is a subgroup,
and it will mainly be applied to rings (e.g. the ring of integers in a number field) and fields.
We therefore implement it as a subgroup of the units of a commutative monoid.
We have chosen to define `rootsOfUnity n` for `n : ℕ+`, instead of `n : ℕ`,
because almost all lemmas need the positivity assumption,
and in particular the type class instances for `Fintype` and `IsCyclic`.
On the other hand, for primitive roots of unity, it is desirable to have a predicate
not just on units, but directly on elements of the ring/field.
For example, we want to say that `exp (2 * pi * I / n)` is a primitive `n`-th root of unity
in the complex numbers, without having to turn that number into a unit first.
This creates a little bit of friction, but lemmas like `IsPrimitiveRoot.isUnit` and
`IsPrimitiveRoot.coe_units_iff` should provide the necessary glue.
-/
open scoped Classical Polynomial
noncomputable section
open Polynomial
open Finset
variable {M N G R S F : Type*}
variable [CommMonoid M] [CommMonoid N] [DivisionCommMonoid G]
section rootsOfUnity
variable {k l : ℕ+}
/-- `rootsOfUnity k M` is the subgroup of elements `m : Mˣ` that satisfy `m ^ k = 1`. -/
def rootsOfUnity (k : ℕ+) (M : Type*) [CommMonoid M] : Subgroup Mˣ where
carrier := {ζ | ζ ^ (k : ℕ) = 1}
one_mem' := one_pow _
mul_mem' _ _ := by simp_all only [Set.mem_setOf_eq, mul_pow, one_mul]
inv_mem' _ := by simp_all only [Set.mem_setOf_eq, inv_pow, inv_one]
#align roots_of_unity rootsOfUnity
@[simp]
theorem mem_rootsOfUnity (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ ζ ^ (k : ℕ) = 1 :=
Iff.rfl
#align mem_roots_of_unity mem_rootsOfUnity
theorem mem_rootsOfUnity' (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ (ζ : M) ^ (k : ℕ) = 1 := by
rw [mem_rootsOfUnity]; norm_cast
#align mem_roots_of_unity' mem_rootsOfUnity'
@[simp]
theorem rootsOfUnity_one (M : Type*) [CommMonoid M] : rootsOfUnity 1 M = ⊥ := by ext; simp
theorem rootsOfUnity.coe_injective {n : ℕ+} :
Function.Injective (fun x : rootsOfUnity n M ↦ x.val.val) :=
Units.ext.comp fun _ _ => Subtype.eq
#align roots_of_unity.coe_injective rootsOfUnity.coe_injective
/-- Make an element of `rootsOfUnity` from a member of the base ring, and a proof that it has
a positive power equal to one. -/
@[simps! coe_val]
def rootsOfUnity.mkOfPowEq (ζ : M) {n : ℕ+} (h : ζ ^ (n : ℕ) = 1) : rootsOfUnity n M :=
⟨Units.ofPowEqOne ζ n h n.ne_zero, Units.pow_ofPowEqOne _ _⟩
#align roots_of_unity.mk_of_pow_eq rootsOfUnity.mkOfPowEq
#align roots_of_unity.mk_of_pow_eq_coe_coe rootsOfUnity.val_mkOfPowEq_coe
@[simp]
theorem rootsOfUnity.coe_mkOfPowEq {ζ : M} {n : ℕ+} (h : ζ ^ (n : ℕ) = 1) :
((rootsOfUnity.mkOfPowEq _ h : Mˣ) : M) = ζ :=
rfl
#align roots_of_unity.coe_mk_of_pow_eq rootsOfUnity.coe_mkOfPowEq
theorem rootsOfUnity_le_of_dvd (h : k ∣ l) : rootsOfUnity k M ≤ rootsOfUnity l M := by
obtain ⟨d, rfl⟩ := h
intro ζ h
simp_all only [mem_rootsOfUnity, PNat.mul_coe, pow_mul, one_pow]
#align roots_of_unity_le_of_dvd rootsOfUnity_le_of_dvd
theorem map_rootsOfUnity (f : Mˣ →* Nˣ) (k : ℕ+) : (rootsOfUnity k M).map f ≤ rootsOfUnity k N := by
rintro _ ⟨ζ, h, rfl⟩
simp_all only [← map_pow, mem_rootsOfUnity, SetLike.mem_coe, MonoidHom.map_one]
#align map_roots_of_unity map_rootsOfUnity
@[norm_cast]
theorem rootsOfUnity.coe_pow [CommMonoid R] (ζ : rootsOfUnity k R) (m : ℕ) :
(((ζ ^ m :) : Rˣ) : R) = ((ζ : Rˣ) : R) ^ m := by
rw [Subgroup.coe_pow, Units.val_pow_eq_pow_val]
#align roots_of_unity.coe_pow rootsOfUnity.coe_pow
section CommMonoid
variable [CommMonoid R] [CommMonoid S] [FunLike F R S]
/-- Restrict a ring homomorphism to the nth roots of unity. -/
def restrictRootsOfUnity [MonoidHomClass F R S] (σ : F) (n : ℕ+) :
rootsOfUnity n R →* rootsOfUnity n S :=
let h : ∀ ξ : rootsOfUnity n R, (σ (ξ : Rˣ)) ^ (n : ℕ) = 1 := fun ξ => by
rw [← map_pow, ← Units.val_pow_eq_pow_val, show (ξ : Rˣ) ^ (n : ℕ) = 1 from ξ.2, Units.val_one,
map_one σ]
{ toFun := fun ξ =>
⟨@unitOfInvertible _ _ _ (invertibleOfPowEqOne _ _ (h ξ) n.ne_zero), by
ext; rw [Units.val_pow_eq_pow_val]; exact h ξ⟩
map_one' := by ext; exact map_one σ
map_mul' := fun ξ₁ ξ₂ => by ext; rw [Subgroup.coe_mul, Units.val_mul]; exact map_mul σ _ _ }
#align restrict_roots_of_unity restrictRootsOfUnity
@[simp]
theorem restrictRootsOfUnity_coe_apply [MonoidHomClass F R S] (σ : F) (ζ : rootsOfUnity k R) :
(restrictRootsOfUnity σ k ζ : Sˣ) = σ (ζ : Rˣ) :=
rfl
#align restrict_roots_of_unity_coe_apply restrictRootsOfUnity_coe_apply
/-- Restrict a monoid isomorphism to the nth roots of unity. -/
nonrec def MulEquiv.restrictRootsOfUnity (σ : R ≃* S) (n : ℕ+) :
rootsOfUnity n R ≃* rootsOfUnity n S where
toFun := restrictRootsOfUnity σ n
invFun := restrictRootsOfUnity σ.symm n
left_inv ξ := by ext; exact σ.symm_apply_apply (ξ : Rˣ)
right_inv ξ := by ext; exact σ.apply_symm_apply (ξ : Sˣ)
map_mul' := (restrictRootsOfUnity _ n).map_mul
#align ring_equiv.restrict_roots_of_unity MulEquiv.restrictRootsOfUnity
@[simp]
theorem MulEquiv.restrictRootsOfUnity_coe_apply (σ : R ≃* S) (ζ : rootsOfUnity k R) :
(σ.restrictRootsOfUnity k ζ : Sˣ) = σ (ζ : Rˣ) :=
rfl
#align ring_equiv.restrict_roots_of_unity_coe_apply MulEquiv.restrictRootsOfUnity_coe_apply
@[simp]
theorem MulEquiv.restrictRootsOfUnity_symm (σ : R ≃* S) :
(σ.restrictRootsOfUnity k).symm = σ.symm.restrictRootsOfUnity k :=
rfl
#align ring_equiv.restrict_roots_of_unity_symm MulEquiv.restrictRootsOfUnity_symm
end CommMonoid
section IsDomain
variable [CommRing R] [IsDomain R]
theorem mem_rootsOfUnity_iff_mem_nthRoots {ζ : Rˣ} :
ζ ∈ rootsOfUnity k R ↔ (ζ : R) ∈ nthRoots k (1 : R) := by
simp only [mem_rootsOfUnity, mem_nthRoots k.pos, Units.ext_iff, Units.val_one,
Units.val_pow_eq_pow_val]
#align mem_roots_of_unity_iff_mem_nth_roots mem_rootsOfUnity_iff_mem_nthRoots
variable (k R)
/-- Equivalence between the `k`-th roots of unity in `R` and the `k`-th roots of `1`.
This is implemented as equivalence of subtypes,
because `rootsOfUnity` is a subgroup of the group of units,
whereas `nthRoots` is a multiset. -/
def rootsOfUnityEquivNthRoots : rootsOfUnity k R ≃ { x // x ∈ nthRoots k (1 : R) } where
toFun x := ⟨(x : Rˣ), mem_rootsOfUnity_iff_mem_nthRoots.mp x.2⟩
invFun x := by
refine ⟨⟨x, ↑x ^ (k - 1 : ℕ), ?_, ?_⟩, ?_⟩
all_goals
rcases x with ⟨x, hx⟩; rw [mem_nthRoots k.pos] at hx
simp only [Subtype.coe_mk, ← pow_succ, ← pow_succ', hx,
tsub_add_cancel_of_le (show 1 ≤ (k : ℕ) from k.one_le)]
show (_ : Rˣ) ^ (k : ℕ) = 1
simp only [Units.ext_iff, hx, Units.val_mk, Units.val_one, Subtype.coe_mk,
Units.val_pow_eq_pow_val]
left_inv := by rintro ⟨x, hx⟩; ext; rfl
right_inv := by rintro ⟨x, hx⟩; ext; rfl
#align roots_of_unity_equiv_nth_roots rootsOfUnityEquivNthRoots
variable {k R}
@[simp]
theorem rootsOfUnityEquivNthRoots_apply (x : rootsOfUnity k R) :
(rootsOfUnityEquivNthRoots R k x : R) = ((x : Rˣ) : R) :=
rfl
#align roots_of_unity_equiv_nth_roots_apply rootsOfUnityEquivNthRoots_apply
@[simp]
theorem rootsOfUnityEquivNthRoots_symm_apply (x : { x // x ∈ nthRoots k (1 : R) }) :
(((rootsOfUnityEquivNthRoots R k).symm x : Rˣ) : R) = (x : R) :=
rfl
#align roots_of_unity_equiv_nth_roots_symm_apply rootsOfUnityEquivNthRoots_symm_apply
variable (k R)
instance rootsOfUnity.fintype : Fintype (rootsOfUnity k R) :=
Fintype.ofEquiv { x // x ∈ nthRoots k (1 : R) } <| (rootsOfUnityEquivNthRoots R k).symm
#align roots_of_unity.fintype rootsOfUnity.fintype
instance rootsOfUnity.isCyclic : IsCyclic (rootsOfUnity k R) :=
isCyclic_of_subgroup_isDomain ((Units.coeHom R).comp (rootsOfUnity k R).subtype)
(Units.ext.comp Subtype.val_injective)
#align roots_of_unity.is_cyclic rootsOfUnity.isCyclic
theorem card_rootsOfUnity : Fintype.card (rootsOfUnity k R) ≤ k :=
calc
Fintype.card (rootsOfUnity k R) = Fintype.card { x // x ∈ nthRoots k (1 : R) } :=
Fintype.card_congr (rootsOfUnityEquivNthRoots R k)
_ ≤ Multiset.card (nthRoots k (1 : R)).attach := Multiset.card_le_card (Multiset.dedup_le _)
_ = Multiset.card (nthRoots k (1 : R)) := Multiset.card_attach
_ ≤ k := card_nthRoots k 1
#align card_roots_of_unity card_rootsOfUnity
variable {k R}
theorem map_rootsOfUnity_eq_pow_self [FunLike F R R] [RingHomClass F R R] (σ : F)
(ζ : rootsOfUnity k R) :
∃ m : ℕ, σ (ζ : Rˣ) = ((ζ : Rˣ) : R) ^ m := by
obtain ⟨m, hm⟩ := MonoidHom.map_cyclic (restrictRootsOfUnity σ k)
rw [← restrictRootsOfUnity_coe_apply, hm, ← zpow_mod_orderOf, ← Int.toNat_of_nonneg
(m.emod_nonneg (Int.natCast_ne_zero.mpr (pos_iff_ne_zero.mp (orderOf_pos ζ)))),
zpow_natCast, rootsOfUnity.coe_pow]
exact ⟨(m % orderOf ζ).toNat, rfl⟩
#align map_root_of_unity_eq_pow_self map_rootsOfUnity_eq_pow_self
end IsDomain
section Reduced
variable (R) [CommRing R] [IsReduced R]
-- @[simp] -- Porting note: simp normal form is `mem_rootsOfUnity_prime_pow_mul_iff'`
theorem mem_rootsOfUnity_prime_pow_mul_iff (p k : ℕ) (m : ℕ+) [ExpChar R p]
{ζ : Rˣ} : ζ ∈ rootsOfUnity (⟨p, expChar_pos R p⟩ ^ k * m) R ↔ ζ ∈ rootsOfUnity m R := by
simp only [mem_rootsOfUnity', PNat.mul_coe, PNat.pow_coe, PNat.mk_coe,
ExpChar.pow_prime_pow_mul_eq_one_iff]
#align mem_roots_of_unity_prime_pow_mul_iff mem_rootsOfUnity_prime_pow_mul_iff
@[simp]
theorem mem_rootsOfUnity_prime_pow_mul_iff' (p k : ℕ) (m : ℕ+) [ExpChar R p]
{ζ : Rˣ} : ζ ^ (p ^ k * ↑m) = 1 ↔ ζ ∈ rootsOfUnity m R := by
rw [← PNat.mk_coe p (expChar_pos R p), ← PNat.pow_coe, ← PNat.mul_coe, ← mem_rootsOfUnity,
mem_rootsOfUnity_prime_pow_mul_iff]
end Reduced
end rootsOfUnity
/-- An element `ζ` is a primitive `k`-th root of unity if `ζ ^ k = 1`,
and if `l` satisfies `ζ ^ l = 1` then `k ∣ l`. -/
@[mk_iff IsPrimitiveRoot.iff_def]
structure IsPrimitiveRoot (ζ : M) (k : ℕ) : Prop where
pow_eq_one : ζ ^ (k : ℕ) = 1
dvd_of_pow_eq_one : ∀ l : ℕ, ζ ^ l = 1 → k ∣ l
#align is_primitive_root IsPrimitiveRoot
#align is_primitive_root.iff_def IsPrimitiveRoot.iff_def
/-- Turn a primitive root μ into a member of the `rootsOfUnity` subgroup. -/
@[simps!]
def IsPrimitiveRoot.toRootsOfUnity {μ : M} {n : ℕ+} (h : IsPrimitiveRoot μ n) : rootsOfUnity n M :=
rootsOfUnity.mkOfPowEq μ h.pow_eq_one
#align is_primitive_root.to_roots_of_unity IsPrimitiveRoot.toRootsOfUnity
#align is_primitive_root.coe_to_roots_of_unity_coe IsPrimitiveRoot.val_toRootsOfUnity_coe
#align is_primitive_root.coe_inv_to_roots_of_unity_coe IsPrimitiveRoot.val_inv_toRootsOfUnity_coe
section primitiveRoots
variable {k : ℕ}
/-- `primitiveRoots k R` is the finset of primitive `k`-th roots of unity
in the integral domain `R`. -/
def primitiveRoots (k : ℕ) (R : Type*) [CommRing R] [IsDomain R] : Finset R :=
(nthRoots k (1 : R)).toFinset.filter fun ζ => IsPrimitiveRoot ζ k
#align primitive_roots primitiveRoots
variable [CommRing R] [IsDomain R]
@[simp]
theorem mem_primitiveRoots {ζ : R} (h0 : 0 < k) : ζ ∈ primitiveRoots k R ↔ IsPrimitiveRoot ζ k := by
rw [primitiveRoots, mem_filter, Multiset.mem_toFinset, mem_nthRoots h0, and_iff_right_iff_imp]
exact IsPrimitiveRoot.pow_eq_one
#align mem_primitive_roots mem_primitiveRoots
@[simp]
theorem primitiveRoots_zero : primitiveRoots 0 R = ∅ := by
rw [primitiveRoots, nthRoots_zero, Multiset.toFinset_zero, Finset.filter_empty]
#align primitive_roots_zero primitiveRoots_zero
theorem isPrimitiveRoot_of_mem_primitiveRoots {ζ : R} (h : ζ ∈ primitiveRoots k R) :
IsPrimitiveRoot ζ k :=
k.eq_zero_or_pos.elim (fun hk => by simp [hk] at h) fun hk => (mem_primitiveRoots hk).1 h
#align is_primitive_root_of_mem_primitive_roots isPrimitiveRoot_of_mem_primitiveRoots
end primitiveRoots
namespace IsPrimitiveRoot
variable {k l : ℕ}
theorem mk_of_lt (ζ : M) (hk : 0 < k) (h1 : ζ ^ k = 1) (h : ∀ l : ℕ, 0 < l → l < k → ζ ^ l ≠ 1) :
IsPrimitiveRoot ζ k := by
refine ⟨h1, fun l hl => ?_⟩
suffices k.gcd l = k by exact this ▸ k.gcd_dvd_right l
rw [eq_iff_le_not_lt]
refine ⟨Nat.le_of_dvd hk (k.gcd_dvd_left l), ?_⟩
intro h'; apply h _ (Nat.gcd_pos_of_pos_left _ hk) h'
exact pow_gcd_eq_one _ h1 hl
#align is_primitive_root.mk_of_lt IsPrimitiveRoot.mk_of_lt
section CommMonoid
variable {ζ : M} {f : F} (h : IsPrimitiveRoot ζ k)
@[nontriviality]
theorem of_subsingleton [Subsingleton M] (x : M) : IsPrimitiveRoot x 1 :=
⟨Subsingleton.elim _ _, fun _ _ => one_dvd _⟩
#align is_primitive_root.of_subsingleton IsPrimitiveRoot.of_subsingleton
theorem pow_eq_one_iff_dvd (l : ℕ) : ζ ^ l = 1 ↔ k ∣ l :=
⟨h.dvd_of_pow_eq_one l, by
rintro ⟨i, rfl⟩; simp only [pow_mul, h.pow_eq_one, one_pow, PNat.mul_coe]⟩
#align is_primitive_root.pow_eq_one_iff_dvd IsPrimitiveRoot.pow_eq_one_iff_dvd
theorem isUnit (h : IsPrimitiveRoot ζ k) (h0 : 0 < k) : IsUnit ζ := by
apply isUnit_of_mul_eq_one ζ (ζ ^ (k - 1))
rw [← pow_succ', tsub_add_cancel_of_le h0.nat_succ_le, h.pow_eq_one]
#align is_primitive_root.is_unit IsPrimitiveRoot.isUnit
theorem pow_ne_one_of_pos_of_lt (h0 : 0 < l) (hl : l < k) : ζ ^ l ≠ 1 :=
mt (Nat.le_of_dvd h0 ∘ h.dvd_of_pow_eq_one _) <| not_le_of_lt hl
#align is_primitive_root.pow_ne_one_of_pos_of_lt IsPrimitiveRoot.pow_ne_one_of_pos_of_lt
theorem ne_one (hk : 1 < k) : ζ ≠ 1 :=
h.pow_ne_one_of_pos_of_lt zero_lt_one hk ∘ (pow_one ζ).trans
#align is_primitive_root.ne_one IsPrimitiveRoot.ne_one
theorem pow_inj (h : IsPrimitiveRoot ζ k) ⦃i j : ℕ⦄ (hi : i < k) (hj : j < k) (H : ζ ^ i = ζ ^ j) :
i = j := by
wlog hij : i ≤ j generalizing i j
· exact (this hj hi H.symm (le_of_not_le hij)).symm
apply le_antisymm hij
rw [← tsub_eq_zero_iff_le]
apply Nat.eq_zero_of_dvd_of_lt _ (lt_of_le_of_lt tsub_le_self hj)
apply h.dvd_of_pow_eq_one
rw [← ((h.isUnit (lt_of_le_of_lt (Nat.zero_le _) hi)).pow i).mul_left_inj, ← pow_add,
tsub_add_cancel_of_le hij, H, one_mul]
#align is_primitive_root.pow_inj IsPrimitiveRoot.pow_inj
theorem one : IsPrimitiveRoot (1 : M) 1 :=
{ pow_eq_one := pow_one _
dvd_of_pow_eq_one := fun _ _ => one_dvd _ }
#align is_primitive_root.one IsPrimitiveRoot.one
@[simp]
theorem one_right_iff : IsPrimitiveRoot ζ 1 ↔ ζ = 1 := by
clear h
constructor
· intro h; rw [← pow_one ζ, h.pow_eq_one]
· rintro rfl; exact one
#align is_primitive_root.one_right_iff IsPrimitiveRoot.one_right_iff
@[simp]
theorem coe_submonoidClass_iff {M B : Type*} [CommMonoid M] [SetLike B M] [SubmonoidClass B M]
{N : B} {ζ : N} : IsPrimitiveRoot (ζ : M) k ↔ IsPrimitiveRoot ζ k := by
simp_rw [iff_def]
norm_cast
#align is_primitive_root.coe_submonoid_class_iff IsPrimitiveRoot.coe_submonoidClass_iff
@[simp]
theorem coe_units_iff {ζ : Mˣ} : IsPrimitiveRoot (ζ : M) k ↔ IsPrimitiveRoot ζ k := by
simp only [iff_def, Units.ext_iff, Units.val_pow_eq_pow_val, Units.val_one]
#align is_primitive_root.coe_units_iff IsPrimitiveRoot.coe_units_iff
lemma isUnit_unit {ζ : M} {n} (hn) (hζ : IsPrimitiveRoot ζ n) :
IsPrimitiveRoot (hζ.isUnit hn).unit n := coe_units_iff.mp hζ
lemma isUnit_unit' {ζ : G} {n} (hn) (hζ : IsPrimitiveRoot ζ n) :
IsPrimitiveRoot (hζ.isUnit hn).unit' n := coe_units_iff.mp hζ
-- Porting note `variable` above already contains `(h : IsPrimitiveRoot ζ k)`
theorem pow_of_coprime (i : ℕ) (hi : i.Coprime k) : IsPrimitiveRoot (ζ ^ i) k := by
by_cases h0 : k = 0
· subst k; simp_all only [pow_one, Nat.coprime_zero_right]
rcases h.isUnit (Nat.pos_of_ne_zero h0) with ⟨ζ, rfl⟩
rw [← Units.val_pow_eq_pow_val]
rw [coe_units_iff] at h ⊢
refine
{ pow_eq_one := by rw [← pow_mul', pow_mul, h.pow_eq_one, one_pow]
dvd_of_pow_eq_one := ?_ }
intro l hl
apply h.dvd_of_pow_eq_one
rw [← pow_one ζ, ← zpow_natCast ζ, ← hi.gcd_eq_one, Nat.gcd_eq_gcd_ab, zpow_add, mul_pow,
← zpow_natCast, ← zpow_mul, mul_right_comm]
simp only [zpow_mul, hl, h.pow_eq_one, one_zpow, one_pow, one_mul, zpow_natCast]
#align is_primitive_root.pow_of_coprime IsPrimitiveRoot.pow_of_coprime
theorem pow_of_prime (h : IsPrimitiveRoot ζ k) {p : ℕ} (hprime : Nat.Prime p) (hdiv : ¬p ∣ k) :
IsPrimitiveRoot (ζ ^ p) k :=
h.pow_of_coprime p (hprime.coprime_iff_not_dvd.2 hdiv)
#align is_primitive_root.pow_of_prime IsPrimitiveRoot.pow_of_prime
theorem pow_iff_coprime (h : IsPrimitiveRoot ζ k) (h0 : 0 < k) (i : ℕ) :
IsPrimitiveRoot (ζ ^ i) k ↔ i.Coprime k := by
refine ⟨?_, h.pow_of_coprime i⟩
intro hi
obtain ⟨a, ha⟩ := i.gcd_dvd_left k
obtain ⟨b, hb⟩ := i.gcd_dvd_right k
suffices b = k by
-- Porting note: was `rwa [this, ← one_mul k, mul_left_inj' h0.ne', eq_comm] at hb`
rw [this, eq_comm, Nat.mul_left_eq_self_iff h0] at hb
rwa [Nat.Coprime]
rw [ha] at hi
rw [mul_comm] at hb
apply Nat.dvd_antisymm ⟨i.gcd k, hb⟩ (hi.dvd_of_pow_eq_one b _)
rw [← pow_mul', ← mul_assoc, ← hb, pow_mul, h.pow_eq_one, one_pow]
#align is_primitive_root.pow_iff_coprime IsPrimitiveRoot.pow_iff_coprime
protected theorem orderOf (ζ : M) : IsPrimitiveRoot ζ (orderOf ζ) :=
⟨pow_orderOf_eq_one ζ, fun _ => orderOf_dvd_of_pow_eq_one⟩
#align is_primitive_root.order_of IsPrimitiveRoot.orderOf
theorem unique {ζ : M} (hk : IsPrimitiveRoot ζ k) (hl : IsPrimitiveRoot ζ l) : k = l :=
Nat.dvd_antisymm (hk.2 _ hl.1) (hl.2 _ hk.1)
#align is_primitive_root.unique IsPrimitiveRoot.unique
theorem eq_orderOf : k = orderOf ζ :=
h.unique (IsPrimitiveRoot.orderOf ζ)
#align is_primitive_root.eq_order_of IsPrimitiveRoot.eq_orderOf
protected theorem iff (hk : 0 < k) :
IsPrimitiveRoot ζ k ↔ ζ ^ k = 1 ∧ ∀ l : ℕ, 0 < l → l < k → ζ ^ l ≠ 1 := by
refine ⟨fun h => ⟨h.pow_eq_one, fun l hl' hl => ?_⟩,
fun ⟨hζ, hl⟩ => IsPrimitiveRoot.mk_of_lt ζ hk hζ hl⟩
rw [h.eq_orderOf] at hl
exact pow_ne_one_of_lt_orderOf' hl'.ne' hl
#align is_primitive_root.iff IsPrimitiveRoot.iff
protected theorem not_iff : ¬IsPrimitiveRoot ζ k ↔ orderOf ζ ≠ k :=
⟨fun h hk => h <| hk ▸ IsPrimitiveRoot.orderOf ζ,
fun h hk => h.symm <| hk.unique <| IsPrimitiveRoot.orderOf ζ⟩
#align is_primitive_root.not_iff IsPrimitiveRoot.not_iff
theorem pow_mul_pow_lcm {ζ' : M} {k' : ℕ} (hζ : IsPrimitiveRoot ζ k) (hζ' : IsPrimitiveRoot ζ' k')
(hk : k ≠ 0) (hk' : k' ≠ 0) :
IsPrimitiveRoot
(ζ ^ (k / Nat.factorizationLCMLeft k k') * ζ' ^ (k' / Nat.factorizationLCMRight k k'))
(Nat.lcm k k') := by
convert IsPrimitiveRoot.orderOf _
convert ((Commute.all ζ ζ').orderOf_mul_pow_eq_lcm
(by simpa [← hζ.eq_orderOf]) (by simpa [← hζ'.eq_orderOf])).symm using 2
all_goals simp [hζ.eq_orderOf, hζ'.eq_orderOf]
theorem pow_of_dvd (h : IsPrimitiveRoot ζ k) {p : ℕ} (hp : p ≠ 0) (hdiv : p ∣ k) :
IsPrimitiveRoot (ζ ^ p) (k / p) := by
suffices orderOf (ζ ^ p) = k / p by exact this ▸ IsPrimitiveRoot.orderOf (ζ ^ p)
rw [orderOf_pow' _ hp, ← eq_orderOf h, Nat.gcd_eq_right hdiv]
#align is_primitive_root.pow_of_dvd IsPrimitiveRoot.pow_of_dvd
protected theorem mem_rootsOfUnity {ζ : Mˣ} {n : ℕ+} (h : IsPrimitiveRoot ζ n) :
ζ ∈ rootsOfUnity n M :=
h.pow_eq_one
#align is_primitive_root.mem_roots_of_unity IsPrimitiveRoot.mem_rootsOfUnity
/-- If there is an `n`-th primitive root of unity in `R` and `b` divides `n`,
then there is a `b`-th primitive root of unity in `R`. -/
theorem pow {n : ℕ} {a b : ℕ} (hn : 0 < n) (h : IsPrimitiveRoot ζ n) (hprod : n = a * b) :
IsPrimitiveRoot (ζ ^ a) b := by
subst n
simp only [iff_def, ← pow_mul, h.pow_eq_one, eq_self_iff_true, true_and_iff]
intro l hl
-- Porting note: was `by rintro rfl; simpa only [Nat.not_lt_zero, zero_mul] using hn`
have ha0 : a ≠ 0 := left_ne_zero_of_mul hn.ne'
rw [← mul_dvd_mul_iff_left ha0]
exact h.dvd_of_pow_eq_one _ hl
#align is_primitive_root.pow IsPrimitiveRoot.pow
lemma injOn_pow {n : ℕ} {ζ : M} (hζ : IsPrimitiveRoot ζ n) :
Set.InjOn (ζ ^ ·) (Finset.range n) := by
obtain (rfl|hn) := n.eq_zero_or_pos; · simp
intros i hi j hj e
rw [Finset.coe_range, Set.mem_Iio] at hi hj
have : (hζ.isUnit hn).unit ^ i = (hζ.isUnit hn).unit ^ j := Units.ext (by simpa using e)
rw [pow_inj_mod, ← orderOf_injective ⟨⟨Units.val, Units.val_one⟩, Units.val_mul⟩
Units.ext (hζ.isUnit hn).unit] at this
simpa [← hζ.eq_orderOf, Nat.mod_eq_of_lt, hi, hj] using this
section Maps
open Function
variable [FunLike F M N]
theorem map_of_injective [MonoidHomClass F M N] (h : IsPrimitiveRoot ζ k) (hf : Injective f) :
IsPrimitiveRoot (f ζ) k where
pow_eq_one := by rw [← map_pow, h.pow_eq_one, _root_.map_one]
dvd_of_pow_eq_one := by
rw [h.eq_orderOf]
intro l hl
rw [← map_pow, ← map_one f] at hl
exact orderOf_dvd_of_pow_eq_one (hf hl)
#align is_primitive_root.map_of_injective IsPrimitiveRoot.map_of_injective
theorem of_map_of_injective [MonoidHomClass F M N] (h : IsPrimitiveRoot (f ζ) k)
(hf : Injective f) : IsPrimitiveRoot ζ k where
pow_eq_one := by apply_fun f; rw [map_pow, _root_.map_one, h.pow_eq_one]
dvd_of_pow_eq_one := by
rw [h.eq_orderOf]
intro l hl
apply_fun f at hl
rw [map_pow, _root_.map_one] at hl
exact orderOf_dvd_of_pow_eq_one hl
#align is_primitive_root.of_map_of_injective IsPrimitiveRoot.of_map_of_injective
theorem map_iff_of_injective [MonoidHomClass F M N] (hf : Injective f) :
IsPrimitiveRoot (f ζ) k ↔ IsPrimitiveRoot ζ k :=
⟨fun h => h.of_map_of_injective hf, fun h => h.map_of_injective hf⟩
#align is_primitive_root.map_iff_of_injective IsPrimitiveRoot.map_iff_of_injective
end Maps
end CommMonoid
section CommMonoidWithZero
variable {M₀ : Type*} [CommMonoidWithZero M₀]
theorem zero [Nontrivial M₀] : IsPrimitiveRoot (0 : M₀) 0 :=
⟨pow_zero 0, fun l hl => by
simpa [zero_pow_eq, show ∀ p, ¬p → False ↔ p from @Classical.not_not] using hl⟩
#align is_primitive_root.zero IsPrimitiveRoot.zero
protected theorem ne_zero [Nontrivial M₀] {ζ : M₀} (h : IsPrimitiveRoot ζ k) : k ≠ 0 → ζ ≠ 0 :=
mt fun hn => h.unique (hn.symm ▸ IsPrimitiveRoot.zero)
#align is_primitive_root.ne_zero IsPrimitiveRoot.ne_zero
end CommMonoidWithZero
section CancelCommMonoidWithZero
variable {M₀ : Type*} [CancelCommMonoidWithZero M₀]
lemma injOn_pow_mul {n : ℕ} {ζ : M₀} (hζ : IsPrimitiveRoot ζ n)
{α : M₀} (hα : α ≠ 0) :
Set.InjOn (ζ ^ · * α) (Finset.range n) := fun i hi j hj e ↦
hζ.injOn_pow hi hj (by simpa [mul_eq_mul_right_iff, or_iff_left hα] using e)
end CancelCommMonoidWithZero
section DivisionCommMonoid
variable {ζ : G}
theorem zpow_eq_one (h : IsPrimitiveRoot ζ k) : ζ ^ (k : ℤ) = 1 := by
rw [zpow_natCast]; exact h.pow_eq_one
#align is_primitive_root.zpow_eq_one IsPrimitiveRoot.zpow_eq_one
theorem zpow_eq_one_iff_dvd (h : IsPrimitiveRoot ζ k) (l : ℤ) : ζ ^ l = 1 ↔ (k : ℤ) ∣ l := by
by_cases h0 : 0 ≤ l
· lift l to ℕ using h0; rw [zpow_natCast]; norm_cast; exact h.pow_eq_one_iff_dvd l
· have : 0 ≤ -l := by simp only [not_le, neg_nonneg] at h0 ⊢; exact le_of_lt h0
lift -l to ℕ using this with l' hl'
rw [← dvd_neg, ← hl']
norm_cast
rw [← h.pow_eq_one_iff_dvd, ← inv_inj, ← zpow_neg, ← hl', zpow_natCast, inv_one]
#align is_primitive_root.zpow_eq_one_iff_dvd IsPrimitiveRoot.zpow_eq_one_iff_dvd
theorem inv (h : IsPrimitiveRoot ζ k) : IsPrimitiveRoot ζ⁻¹ k :=
{ pow_eq_one := by simp only [h.pow_eq_one, inv_one, eq_self_iff_true, inv_pow]
dvd_of_pow_eq_one := by
intro l hl
apply h.dvd_of_pow_eq_one l
rw [← inv_inj, ← inv_pow, hl, inv_one] }
#align is_primitive_root.inv IsPrimitiveRoot.inv
@[simp]
theorem inv_iff : IsPrimitiveRoot ζ⁻¹ k ↔ IsPrimitiveRoot ζ k := by
refine ⟨?_, fun h => inv h⟩; intro h; rw [← inv_inv ζ]; exact inv h
#align is_primitive_root.inv_iff IsPrimitiveRoot.inv_iff
theorem zpow_of_gcd_eq_one (h : IsPrimitiveRoot ζ k) (i : ℤ) (hi : i.gcd k = 1) :
IsPrimitiveRoot (ζ ^ i) k := by
by_cases h0 : 0 ≤ i
· lift i to ℕ using h0
rw [zpow_natCast]
exact h.pow_of_coprime i hi
have : 0 ≤ -i := by simp only [not_le, neg_nonneg] at h0 ⊢; exact le_of_lt h0
lift -i to ℕ using this with i' hi'
rw [← inv_iff, ← zpow_neg, ← hi', zpow_natCast]
apply h.pow_of_coprime
rw [Int.gcd, ← Int.natAbs_neg, ← hi'] at hi
exact hi
#align is_primitive_root.zpow_of_gcd_eq_one IsPrimitiveRoot.zpow_of_gcd_eq_one
end DivisionCommMonoid
section CommRing
variable [CommRing R] {n : ℕ} (hn : 1 < n) {ζ : R} (hζ : IsPrimitiveRoot ζ n)
theorem sub_one_ne_zero : ζ - 1 ≠ 0 := sub_ne_zero.mpr <| hζ.ne_one hn
end CommRing
section IsDomain
variable {ζ : R}
variable [CommRing R] [IsDomain R]
@[simp]
theorem primitiveRoots_one : primitiveRoots 1 R = {(1 : R)} := by
apply Finset.eq_singleton_iff_unique_mem.2
constructor
· simp only [IsPrimitiveRoot.one_right_iff, mem_primitiveRoots zero_lt_one]
· intro x hx
rw [mem_primitiveRoots zero_lt_one, IsPrimitiveRoot.one_right_iff] at hx
exact hx
#align is_primitive_root.primitive_roots_one IsPrimitiveRoot.primitiveRoots_one
theorem neZero' {n : ℕ+} (hζ : IsPrimitiveRoot ζ n) : NeZero ((n : ℕ) : R) := by
let p := ringChar R
have hfin := multiplicity.finite_nat_iff.2 ⟨CharP.char_ne_one R p, n.pos⟩
obtain ⟨m, hm⟩ := multiplicity.exists_eq_pow_mul_and_not_dvd hfin
by_cases hp : p ∣ n
· obtain ⟨k, hk⟩ := Nat.exists_eq_succ_of_ne_zero (multiplicity.pos_of_dvd hfin hp).ne'
haveI : NeZero p := NeZero.of_pos (Nat.pos_of_dvd_of_pos hp n.pos)
haveI hpri : Fact p.Prime := CharP.char_is_prime_of_pos R p
have := hζ.pow_eq_one
rw [hm.1, hk, pow_succ', mul_assoc, pow_mul', ← frobenius_def, ← frobenius_one p] at this
exfalso
have hpos : 0 < p ^ k * m := by
refine mul_pos (pow_pos hpri.1.pos _) (Nat.pos_of_ne_zero fun h => ?_)
have H := hm.1
rw [h] at H
simp at H
refine hζ.pow_ne_one_of_pos_of_lt hpos ?_ (frobenius_inj R p this)
rw [hm.1, hk, pow_succ', mul_assoc, mul_comm p]
exact lt_mul_of_one_lt_right hpos hpri.1.one_lt
· exact NeZero.of_not_dvd R hp
#align is_primitive_root.ne_zero' IsPrimitiveRoot.neZero'
nonrec theorem mem_nthRootsFinset (hζ : IsPrimitiveRoot ζ k) (hk : 0 < k) :
ζ ∈ nthRootsFinset k R :=
(mem_nthRootsFinset hk).2 hζ.pow_eq_one
#align is_primitive_root.mem_nth_roots_finset IsPrimitiveRoot.mem_nthRootsFinset
end IsDomain
section IsDomain
variable [CommRing R]
variable {ζ : Rˣ} (h : IsPrimitiveRoot ζ k)
theorem eq_neg_one_of_two_right [NoZeroDivisors R] {ζ : R} (h : IsPrimitiveRoot ζ 2) : ζ = -1 := by
apply (eq_or_eq_neg_of_sq_eq_sq ζ 1 _).resolve_left
· rw [← pow_one ζ]; apply h.pow_ne_one_of_pos_of_lt <;> decide
· simp only [h.pow_eq_one, one_pow]
#align is_primitive_root.eq_neg_one_of_two_right IsPrimitiveRoot.eq_neg_one_of_two_right
theorem neg_one (p : ℕ) [Nontrivial R] [h : CharP R p] (hp : p ≠ 2) :
IsPrimitiveRoot (-1 : R) 2 := by
convert IsPrimitiveRoot.orderOf (-1 : R)
rw [orderOf_neg_one, if_neg]
rwa [ringChar.eq_iff.mpr h]
#align is_primitive_root.neg_one IsPrimitiveRoot.neg_one
/-- If `1 < k` then `(∑ i ∈ range k, ζ ^ i) = 0`. -/
theorem geom_sum_eq_zero [IsDomain R] {ζ : R} (hζ : IsPrimitiveRoot ζ k) (hk : 1 < k) :
∑ i ∈ range k, ζ ^ i = 0 := by
refine eq_zero_of_ne_zero_of_mul_left_eq_zero (sub_ne_zero_of_ne (hζ.ne_one hk).symm) ?_
rw [mul_neg_geom_sum, hζ.pow_eq_one, sub_self]
#align is_primitive_root.geom_sum_eq_zero IsPrimitiveRoot.geom_sum_eq_zero
/-- If `1 < k`, then `ζ ^ k.pred = -(∑ i ∈ range k.pred, ζ ^ i)`. -/
theorem pow_sub_one_eq [IsDomain R] {ζ : R} (hζ : IsPrimitiveRoot ζ k) (hk : 1 < k) :
ζ ^ k.pred = -∑ i ∈ range k.pred, ζ ^ i := by
rw [eq_neg_iff_add_eq_zero, add_comm, ← sum_range_succ, ← Nat.succ_eq_add_one,
Nat.succ_pred_eq_of_pos (pos_of_gt hk), hζ.geom_sum_eq_zero hk]
#align is_primitive_root.pow_sub_one_eq IsPrimitiveRoot.pow_sub_one_eq
/-- The (additive) monoid equivalence between `ZMod k`
and the powers of a primitive root of unity `ζ`. -/
def zmodEquivZPowers (h : IsPrimitiveRoot ζ k) : ZMod k ≃+ Additive (Subgroup.zpowers ζ) :=
AddEquiv.ofBijective
(AddMonoidHom.liftOfRightInverse (Int.castAddHom <| ZMod k) _ ZMod.intCast_rightInverse
⟨{ toFun := fun i => Additive.ofMul (⟨_, i, rfl⟩ : Subgroup.zpowers ζ)
map_zero' := by simp only [zpow_zero]; rfl
map_add' := by intro i j; simp only [zpow_add]; rfl }, fun i hi => by
simp only [AddMonoidHom.mem_ker, CharP.intCast_eq_zero_iff (ZMod k) k, AddMonoidHom.coe_mk,
Int.coe_castAddHom] at hi ⊢
obtain ⟨i, rfl⟩ := hi
simp [zpow_mul, h.pow_eq_one, one_zpow, zpow_natCast]⟩)
(by
constructor
· rw [injective_iff_map_eq_zero]
intro i hi
rw [Subtype.ext_iff] at hi
have := (h.zpow_eq_one_iff_dvd _).mp hi
rw [← (CharP.intCast_eq_zero_iff (ZMod k) k _).mpr this, eq_comm]
exact ZMod.intCast_rightInverse i
· rintro ⟨ξ, i, rfl⟩
refine ⟨Int.castAddHom (ZMod k) i, ?_⟩
rw [AddMonoidHom.liftOfRightInverse_comp_apply]
rfl)
#align is_primitive_root.zmod_equiv_zpowers IsPrimitiveRoot.zmodEquivZPowers
@[simp]
theorem zmodEquivZPowers_apply_coe_int (i : ℤ) :
h.zmodEquivZPowers i = Additive.ofMul (⟨ζ ^ i, i, rfl⟩ : Subgroup.zpowers ζ) := by
rw [zmodEquivZPowers, AddEquiv.ofBijective_apply] -- Porting note: Original proof didn't have `rw`
exact AddMonoidHom.liftOfRightInverse_comp_apply _ _ ZMod.intCast_rightInverse _ _
#align is_primitive_root.zmod_equiv_zpowers_apply_coe_int IsPrimitiveRoot.zmodEquivZPowers_apply_coe_int
@[simp]
theorem zmodEquivZPowers_apply_coe_nat (i : ℕ) :
h.zmodEquivZPowers i = Additive.ofMul (⟨ζ ^ i, i, rfl⟩ : Subgroup.zpowers ζ) := by
have : (i : ZMod k) = (i : ℤ) := by norm_cast
simp only [this, zmodEquivZPowers_apply_coe_int, zpow_natCast]
#align is_primitive_root.zmod_equiv_zpowers_apply_coe_nat IsPrimitiveRoot.zmodEquivZPowers_apply_coe_nat
@[simp]
theorem zmodEquivZPowers_symm_apply_zpow (i : ℤ) :
h.zmodEquivZPowers.symm (Additive.ofMul (⟨ζ ^ i, i, rfl⟩ : Subgroup.zpowers ζ)) = i := by
rw [← h.zmodEquivZPowers.symm_apply_apply i, zmodEquivZPowers_apply_coe_int]
#align is_primitive_root.zmod_equiv_zpowers_symm_apply_zpow IsPrimitiveRoot.zmodEquivZPowers_symm_apply_zpow
@[simp]
theorem zmodEquivZPowers_symm_apply_zpow' (i : ℤ) : h.zmodEquivZPowers.symm ⟨ζ ^ i, i, rfl⟩ = i :=
h.zmodEquivZPowers_symm_apply_zpow i
#align is_primitive_root.zmod_equiv_zpowers_symm_apply_zpow' IsPrimitiveRoot.zmodEquivZPowers_symm_apply_zpow'
@[simp]
theorem zmodEquivZPowers_symm_apply_pow (i : ℕ) :
h.zmodEquivZPowers.symm (Additive.ofMul (⟨ζ ^ i, i, rfl⟩ : Subgroup.zpowers ζ)) = i := by
rw [← h.zmodEquivZPowers.symm_apply_apply i, zmodEquivZPowers_apply_coe_nat]
#align is_primitive_root.zmod_equiv_zpowers_symm_apply_pow IsPrimitiveRoot.zmodEquivZPowers_symm_apply_pow
@[simp]
theorem zmodEquivZPowers_symm_apply_pow' (i : ℕ) : h.zmodEquivZPowers.symm ⟨ζ ^ i, i, rfl⟩ = i :=
h.zmodEquivZPowers_symm_apply_pow i
#align is_primitive_root.zmod_equiv_zpowers_symm_apply_pow' IsPrimitiveRoot.zmodEquivZPowers_symm_apply_pow'
variable [IsDomain R]
theorem zpowers_eq {k : ℕ+} {ζ : Rˣ} (h : IsPrimitiveRoot ζ k) :
Subgroup.zpowers ζ = rootsOfUnity k R := by
apply SetLike.coe_injective
haveI F : Fintype (Subgroup.zpowers ζ) := Fintype.ofEquiv _ h.zmodEquivZPowers.toEquiv
refine
@Set.eq_of_subset_of_card_le Rˣ (Subgroup.zpowers ζ) (rootsOfUnity k R) F
(rootsOfUnity.fintype R k)
(Subgroup.zpowers_le_of_mem <| show ζ ∈ rootsOfUnity k R from h.pow_eq_one) ?_
calc
Fintype.card (rootsOfUnity k R) ≤ k := card_rootsOfUnity R k
_ = Fintype.card (ZMod k) := (ZMod.card k).symm
_ = Fintype.card (Subgroup.zpowers ζ) := Fintype.card_congr h.zmodEquivZPowers.toEquiv
#align is_primitive_root.zpowers_eq IsPrimitiveRoot.zpowers_eq
lemma map_rootsOfUnity {S F} [CommRing S] [IsDomain S] [FunLike F R S] [MonoidHomClass F R S]
{ζ : R} {n : ℕ+} (hζ : IsPrimitiveRoot ζ n) {f : F} (hf : Function.Injective f) :
(rootsOfUnity n R).map (Units.map f) = rootsOfUnity n S := by
letI : CommMonoid Sˣ := inferInstance
replace hζ := hζ.isUnit_unit n.2
rw [← hζ.zpowers_eq,
← (hζ.map_of_injective (Units.map_injective (f := (f : R →* S)) hf)).zpowers_eq,
MonoidHom.map_zpowers]
/-- If `R` contains a `n`-th primitive root, and `S/R` is a ring extension,
then the `n`-th roots of unity in `R` and `S` are isomorphic.
Also see `IsPrimitiveRoot.map_rootsOfUnity` for the equality as `Subgroup Sˣ`. -/
@[simps! (config := .lemmasOnly) apply_coe_val apply_coe_inv_val]
noncomputable
def _root_.rootsOfUnityEquivOfPrimitiveRoots {S F} [CommRing S] [IsDomain S]
[FunLike F R S] [MonoidHomClass F R S]
{n : ℕ+} {f : F} (hf : Function.Injective f) (hζ : (primitiveRoots n R).Nonempty) :
(rootsOfUnity n R) ≃* rootsOfUnity n S :=
(Subgroup.equivMapOfInjective _ _ (Units.map_injective hf)).trans (MulEquiv.subgroupCongr
(((mem_primitiveRoots (k := n) n.2).mp hζ.choose_spec).map_rootsOfUnity hf))
lemma _root_.rootsOfUnityEquivOfPrimitiveRoots_symm_apply
{S F} [CommRing S] [IsDomain S] [FunLike F R S] [MonoidHomClass F R S]
{n : ℕ+} {f : F} (hf : Function.Injective f) (hζ : (primitiveRoots n R).Nonempty) (η) :
f ((rootsOfUnityEquivOfPrimitiveRoots hf hζ).symm η : Rˣ) = (η : Sˣ) := by
obtain ⟨ε, rfl⟩ := (rootsOfUnityEquivOfPrimitiveRoots hf hζ).surjective η
rw [MulEquiv.symm_apply_apply, val_rootsOfUnityEquivOfPrimitiveRoots_apply_coe]
-- Porting note: rephrased the next few lemmas to avoid `∃ (Prop)`
theorem eq_pow_of_mem_rootsOfUnity {k : ℕ+} {ζ ξ : Rˣ} (h : IsPrimitiveRoot ζ k)
(hξ : ξ ∈ rootsOfUnity k R) : ∃ (i : ℕ), i < k ∧ ζ ^ i = ξ := by
obtain ⟨n, rfl⟩ : ∃ n : ℤ, ζ ^ n = ξ := by rwa [← h.zpowers_eq] at hξ
have hk0 : (0 : ℤ) < k := mod_cast k.pos
let i := n % k
have hi0 : 0 ≤ i := Int.emod_nonneg _ (ne_of_gt hk0)
lift i to ℕ using hi0 with i₀ hi₀
refine ⟨i₀, ?_, ?_⟩
· zify; rw [hi₀]; exact Int.emod_lt_of_pos _ hk0
· rw [← zpow_natCast, hi₀, ← Int.emod_add_ediv n k, zpow_add, zpow_mul, h.zpow_eq_one, one_zpow,
mul_one]
#align is_primitive_root.eq_pow_of_mem_roots_of_unity IsPrimitiveRoot.eq_pow_of_mem_rootsOfUnity
/-- A version of `IsPrimitiveRoot.eq_pow_of_mem_rootsOfUnity` that takes a natural number `k`
as argument instead of a `PNat` (and `ζ : R` instead of `ζ : Rˣ`). -/
lemma eq_pow_of_mem_rootsOfUnity' {k : ℕ} (hk : 0 < k) {ζ : R} (hζ : IsPrimitiveRoot ζ k) {ξ : Rˣ}
(hξ : ξ ∈ rootsOfUnity (⟨k, hk⟩ : ℕ+) R) :
∃ i < k, ζ ^ i = ξ := by
have hζ' : IsPrimitiveRoot (hζ.isUnit hk).unit (⟨k, hk⟩ : ℕ+) := isUnit_unit hk hζ
obtain ⟨i, hi₁, hi₂⟩ := hζ'.eq_pow_of_mem_rootsOfUnity hξ
simpa only [Units.val_pow_eq_pow_val, IsUnit.unit_spec]
using ⟨i, hi₁, congrArg ((↑) : Rˣ → R) hi₂⟩
theorem eq_pow_of_pow_eq_one {k : ℕ} {ζ ξ : R} (h : IsPrimitiveRoot ζ k) (hξ : ξ ^ k = 1)
(h0 : 0 < k) : ∃ i < k, ζ ^ i = ξ := by
lift ζ to Rˣ using h.isUnit h0
lift ξ to Rˣ using isUnit_ofPowEqOne hξ h0.ne'
lift k to ℕ+ using h0
simp only [← Units.val_pow_eq_pow_val, ← Units.ext_iff]
rw [coe_units_iff] at h
apply h.eq_pow_of_mem_rootsOfUnity
rw [mem_rootsOfUnity, Units.ext_iff, Units.val_pow_eq_pow_val, hξ, Units.val_one]
#align is_primitive_root.eq_pow_of_pow_eq_one IsPrimitiveRoot.eq_pow_of_pow_eq_one
theorem isPrimitiveRoot_iff' {k : ℕ+} {ζ ξ : Rˣ} (h : IsPrimitiveRoot ζ k) :
IsPrimitiveRoot ξ k ↔ ∃ i < (k : ℕ), i.Coprime k ∧ ζ ^ i = ξ := by
constructor
· intro hξ
obtain ⟨i, hik, rfl⟩ := h.eq_pow_of_mem_rootsOfUnity hξ.pow_eq_one
rw [h.pow_iff_coprime k.pos] at hξ
exact ⟨i, hik, hξ, rfl⟩
· rintro ⟨i, -, hi, rfl⟩; exact h.pow_of_coprime i hi
#align is_primitive_root.is_primitive_root_iff' IsPrimitiveRoot.isPrimitiveRoot_iff'
theorem isPrimitiveRoot_iff {k : ℕ} {ζ ξ : R} (h : IsPrimitiveRoot ζ k) (h0 : 0 < k) :
IsPrimitiveRoot ξ k ↔ ∃ i < k, i.Coprime k ∧ ζ ^ i = ξ := by
constructor
· intro hξ
obtain ⟨i, hik, rfl⟩ := h.eq_pow_of_pow_eq_one hξ.pow_eq_one h0
rw [h.pow_iff_coprime h0] at hξ
exact ⟨i, hik, hξ, rfl⟩
· rintro ⟨i, -, hi, rfl⟩; exact h.pow_of_coprime i hi
#align is_primitive_root.is_primitive_root_iff IsPrimitiveRoot.isPrimitiveRoot_iff
theorem nthRoots_eq {n : ℕ} {ζ : R} (hζ : IsPrimitiveRoot ζ n)
{α a : R} (e : α ^ n = a) :
nthRoots n a = (Multiset.range n).map (ζ ^ · * α) := by
obtain (rfl|hn) := n.eq_zero_or_pos; · simp
by_cases hα : α = 0
· rw [hα, zero_pow hn.ne'] at e
simp only [hα, e.symm, nthRoots_zero_right, mul_zero,
Finset.range_val, Multiset.map_const', Multiset.card_range]
classical
symm; apply Multiset.eq_of_le_of_card_le
· rw [← Finset.range_val,
← Finset.image_val_of_injOn (hζ.injOn_pow_mul hα), Finset.val_le_iff_val_subset]
intro x hx
simp only [Finset.image_val, Finset.range_val, Multiset.mem_dedup, Multiset.mem_map,
Multiset.mem_range] at hx
obtain ⟨m, _, rfl⟩ := hx
rw [mem_nthRoots hn, mul_pow, e, ← pow_mul, mul_comm m,
pow_mul, hζ.pow_eq_one, one_pow, one_mul]
· simpa only [Multiset.card_map, Multiset.card_range] using card_nthRoots n a
| Mathlib/RingTheory/RootsOfUnity/Basic.lean | 896 | 903 | theorem card_nthRoots {n : ℕ} {ζ : R} (hζ : IsPrimitiveRoot ζ n) (a : R) :
Multiset.card (nthRoots n a) = if ∃ α, α ^ n = a then n else 0 := by |
split_ifs with h
· obtain ⟨α, hα⟩ := h
rw [nthRoots_eq hζ hα, Multiset.card_map, Multiset.card_range]
· obtain (rfl|hn) := n.eq_zero_or_pos; · simp
push_neg at h
simpa only [Multiset.card_eq_zero, Multiset.eq_zero_iff_forall_not_mem, mem_nthRoots hn]
|
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Johannes Hölzl, Mario Carneiro, Patrick Massot
-/
import Mathlib.Data.Prod.PProd
import Mathlib.Data.Set.Countable
import Mathlib.Order.Filter.Prod
import Mathlib.Order.Filter.Ker
#align_import order.filter.bases from "leanprover-community/mathlib"@"996b0ff959da753a555053a480f36e5f264d4207"
/-!
# Filter bases
A filter basis `B : FilterBasis α` on a type `α` is a nonempty collection of sets of `α`
such that the intersection of two elements of this collection contains some element of
the collection. Compared to filters, filter bases do not require that any set containing
an element of `B` belongs to `B`.
A filter basis `B` can be used to construct `B.filter : Filter α` such that a set belongs
to `B.filter` if and only if it contains an element of `B`.
Given an indexing type `ι`, a predicate `p : ι → Prop`, and a map `s : ι → Set α`,
the proposition `h : Filter.IsBasis p s` makes sure the range of `s` bounded by `p`
(ie. `s '' setOf p`) defines a filter basis `h.filterBasis`.
If one already has a filter `l` on `α`, `Filter.HasBasis l p s` (where `p : ι → Prop`
and `s : ι → Set α` as above) means that a set belongs to `l` if and
only if it contains some `s i` with `p i`. It implies `h : Filter.IsBasis p s`, and
`l = h.filterBasis.filter`. The point of this definition is that checking statements
involving elements of `l` often reduces to checking them on the basis elements.
We define a function `HasBasis.index (h : Filter.HasBasis l p s) (t) (ht : t ∈ l)` that returns
some index `i` such that `p i` and `s i ⊆ t`. This function can be useful to avoid manual
destruction of `h.mem_iff.mpr ht` using `cases` or `let`.
This file also introduces more restricted classes of bases, involving monotonicity or
countability. In particular, for `l : Filter α`, `l.IsCountablyGenerated` means
there is a countable set of sets which generates `s`. This is reformulated in term of bases,
and consequences are derived.
## Main statements
* `Filter.HasBasis.mem_iff`, `HasBasis.mem_of_superset`, `HasBasis.mem_of_mem` : restate `t ∈ f` in
terms of a basis;
* `Filter.basis_sets` : all sets of a filter form a basis;
* `Filter.HasBasis.inf`, `Filter.HasBasis.inf_principal`, `Filter.HasBasis.prod`,
`Filter.HasBasis.prod_self`, `Filter.HasBasis.map`, `Filter.HasBasis.comap` : combinators to
construct filters of `l ⊓ l'`, `l ⊓ 𝓟 t`, `l ×ˢ l'`, `l ×ˢ l`, `l.map f`, `l.comap f`
respectively;
* `Filter.HasBasis.le_iff`, `Filter.HasBasis.ge_iff`, `Filter.HasBasis.le_basis_iff` : restate
`l ≤ l'` in terms of bases.
* `Filter.HasBasis.tendsto_right_iff`, `Filter.HasBasis.tendsto_left_iff`,
`Filter.HasBasis.tendsto_iff` : restate `Tendsto f l l'` in terms of bases.
* `isCountablyGenerated_iff_exists_antitone_basis` : proves a filter is countably generated if and
only if it admits a basis parametrized by a decreasing sequence of sets indexed by `ℕ`.
* `tendsto_iff_seq_tendsto` : an abstract version of "sequentially continuous implies continuous".
## Implementation notes
As with `Set.iUnion`/`biUnion`/`Set.sUnion`, there are three different approaches to filter bases:
* `Filter.HasBasis l s`, `s : Set (Set α)`;
* `Filter.HasBasis l s`, `s : ι → Set α`;
* `Filter.HasBasis l p s`, `p : ι → Prop`, `s : ι → Set α`.
We use the latter one because, e.g., `𝓝 x` in an `EMetricSpace` or in a `MetricSpace` has a basis
of this form. The other two can be emulated using `s = id` or `p = fun _ ↦ True`.
With this approach sometimes one needs to `simp` the statement provided by the `Filter.HasBasis`
machinery, e.g., `simp only [true_and]` or `simp only [forall_const]` can help with the case
`p = fun _ ↦ True`.
-/
set_option autoImplicit true
open Set Filter
open scoped Classical
open Filter
section sort
variable {α β γ : Type*} {ι ι' : Sort*}
/-- A filter basis `B` on a type `α` is a nonempty collection of sets of `α`
such that the intersection of two elements of this collection contains some element
of the collection. -/
structure FilterBasis (α : Type*) where
/-- Sets of a filter basis. -/
sets : Set (Set α)
/-- The set of filter basis sets is nonempty. -/
nonempty : sets.Nonempty
/-- The set of filter basis sets is directed downwards. -/
inter_sets {x y} : x ∈ sets → y ∈ sets → ∃ z ∈ sets, z ⊆ x ∩ y
#align filter_basis FilterBasis
instance FilterBasis.nonempty_sets (B : FilterBasis α) : Nonempty B.sets :=
B.nonempty.to_subtype
#align filter_basis.nonempty_sets FilterBasis.nonempty_sets
-- Porting note: this instance was reducible but it doesn't work the same way in Lean 4
/-- If `B` is a filter basis on `α`, and `U` a subset of `α` then we can write `U ∈ B` as
on paper. -/
instance {α : Type*} : Membership (Set α) (FilterBasis α) :=
⟨fun U B => U ∈ B.sets⟩
@[simp] theorem FilterBasis.mem_sets {s : Set α} {B : FilterBasis α} : s ∈ B.sets ↔ s ∈ B := Iff.rfl
-- For illustration purposes, the filter basis defining `(atTop : Filter ℕ)`
instance : Inhabited (FilterBasis ℕ) :=
⟨{ sets := range Ici
nonempty := ⟨Ici 0, mem_range_self 0⟩
inter_sets := by
rintro _ _ ⟨n, rfl⟩ ⟨m, rfl⟩
exact ⟨Ici (max n m), mem_range_self _, Ici_inter_Ici.symm.subset⟩ }⟩
/-- View a filter as a filter basis. -/
def Filter.asBasis (f : Filter α) : FilterBasis α :=
⟨f.sets, ⟨univ, univ_mem⟩, fun {x y} hx hy => ⟨x ∩ y, inter_mem hx hy, subset_rfl⟩⟩
#align filter.as_basis Filter.asBasis
-- Porting note: was `protected` in Lean 3 but `protected` didn't work; removed
/-- `is_basis p s` means the image of `s` bounded by `p` is a filter basis. -/
structure Filter.IsBasis (p : ι → Prop) (s : ι → Set α) : Prop where
/-- There exists at least one `i` that satisfies `p`. -/
nonempty : ∃ i, p i
/-- `s` is directed downwards on `i` such that `p i`. -/
inter : ∀ {i j}, p i → p j → ∃ k, p k ∧ s k ⊆ s i ∩ s j
#align filter.is_basis Filter.IsBasis
namespace Filter
namespace IsBasis
/-- Constructs a filter basis from an indexed family of sets satisfying `IsBasis`. -/
protected def filterBasis {p : ι → Prop} {s : ι → Set α} (h : IsBasis p s) : FilterBasis α where
sets := { t | ∃ i, p i ∧ s i = t }
nonempty :=
let ⟨i, hi⟩ := h.nonempty
⟨s i, ⟨i, hi, rfl⟩⟩
inter_sets := by
rintro _ _ ⟨i, hi, rfl⟩ ⟨j, hj, rfl⟩
rcases h.inter hi hj with ⟨k, hk, hk'⟩
exact ⟨_, ⟨k, hk, rfl⟩, hk'⟩
#align filter.is_basis.filter_basis Filter.IsBasis.filterBasis
variable {p : ι → Prop} {s : ι → Set α} (h : IsBasis p s)
theorem mem_filterBasis_iff {U : Set α} : U ∈ h.filterBasis ↔ ∃ i, p i ∧ s i = U :=
Iff.rfl
#align filter.is_basis.mem_filter_basis_iff Filter.IsBasis.mem_filterBasis_iff
end IsBasis
end Filter
namespace FilterBasis
/-- The filter associated to a filter basis. -/
protected def filter (B : FilterBasis α) : Filter α where
sets := { s | ∃ t ∈ B, t ⊆ s }
univ_sets := B.nonempty.imp fun s s_in => ⟨s_in, s.subset_univ⟩
sets_of_superset := fun ⟨s, s_in, h⟩ hxy => ⟨s, s_in, Set.Subset.trans h hxy⟩
inter_sets := fun ⟨_s, s_in, hs⟩ ⟨_t, t_in, ht⟩ =>
let ⟨u, u_in, u_sub⟩ := B.inter_sets s_in t_in
⟨u, u_in, u_sub.trans (inter_subset_inter hs ht)⟩
#align filter_basis.filter FilterBasis.filter
theorem mem_filter_iff (B : FilterBasis α) {U : Set α} : U ∈ B.filter ↔ ∃ s ∈ B, s ⊆ U :=
Iff.rfl
#align filter_basis.mem_filter_iff FilterBasis.mem_filter_iff
theorem mem_filter_of_mem (B : FilterBasis α) {U : Set α} : U ∈ B → U ∈ B.filter := fun U_in =>
⟨U, U_in, Subset.refl _⟩
#align filter_basis.mem_filter_of_mem FilterBasis.mem_filter_of_mem
theorem eq_iInf_principal (B : FilterBasis α) : B.filter = ⨅ s : B.sets, 𝓟 s := by
have : Directed (· ≥ ·) fun s : B.sets => 𝓟 (s : Set α) := by
rintro ⟨U, U_in⟩ ⟨V, V_in⟩
rcases B.inter_sets U_in V_in with ⟨W, W_in, W_sub⟩
use ⟨W, W_in⟩
simp only [ge_iff_le, le_principal_iff, mem_principal, Subtype.coe_mk]
exact subset_inter_iff.mp W_sub
ext U
simp [mem_filter_iff, mem_iInf_of_directed this]
#align filter_basis.eq_infi_principal FilterBasis.eq_iInf_principal
protected theorem generate (B : FilterBasis α) : generate B.sets = B.filter := by
apply le_antisymm
· intro U U_in
rcases B.mem_filter_iff.mp U_in with ⟨V, V_in, h⟩
exact GenerateSets.superset (GenerateSets.basic V_in) h
· rw [le_generate_iff]
apply mem_filter_of_mem
#align filter_basis.generate FilterBasis.generate
end FilterBasis
namespace Filter
namespace IsBasis
variable {p : ι → Prop} {s : ι → Set α}
/-- Constructs a filter from an indexed family of sets satisfying `IsBasis`. -/
protected def filter (h : IsBasis p s) : Filter α :=
h.filterBasis.filter
#align filter.is_basis.filter Filter.IsBasis.filter
protected theorem mem_filter_iff (h : IsBasis p s) {U : Set α} :
U ∈ h.filter ↔ ∃ i, p i ∧ s i ⊆ U := by
simp only [IsBasis.filter, FilterBasis.mem_filter_iff, mem_filterBasis_iff,
exists_exists_and_eq_and]
#align filter.is_basis.mem_filter_iff Filter.IsBasis.mem_filter_iff
theorem filter_eq_generate (h : IsBasis p s) : h.filter = generate { U | ∃ i, p i ∧ s i = U } := by
erw [h.filterBasis.generate]; rfl
#align filter.is_basis.filter_eq_generate Filter.IsBasis.filter_eq_generate
end IsBasis
-- Porting note: was `protected` in Lean 3 but `protected` didn't work; removed
/-- We say that a filter `l` has a basis `s : ι → Set α` bounded by `p : ι → Prop`,
if `t ∈ l` if and only if `t` includes `s i` for some `i` such that `p i`. -/
structure HasBasis (l : Filter α) (p : ι → Prop) (s : ι → Set α) : Prop where
/-- A set `t` belongs to a filter `l` iff it includes an element of the basis. -/
mem_iff' : ∀ t : Set α, t ∈ l ↔ ∃ i, p i ∧ s i ⊆ t
#align filter.has_basis Filter.HasBasis
section SameType
variable {l l' : Filter α} {p : ι → Prop} {s : ι → Set α} {t : Set α} {i : ι} {p' : ι' → Prop}
{s' : ι' → Set α} {i' : ι'}
theorem hasBasis_generate (s : Set (Set α)) :
(generate s).HasBasis (fun t => Set.Finite t ∧ t ⊆ s) fun t => ⋂₀ t :=
⟨fun U => by simp only [mem_generate_iff, exists_prop, and_assoc, and_left_comm]⟩
#align filter.has_basis_generate Filter.hasBasis_generate
/-- The smallest filter basis containing a given collection of sets. -/
def FilterBasis.ofSets (s : Set (Set α)) : FilterBasis α where
sets := sInter '' { t | Set.Finite t ∧ t ⊆ s }
nonempty := ⟨univ, ∅, ⟨⟨finite_empty, empty_subset s⟩, sInter_empty⟩⟩
inter_sets := by
rintro _ _ ⟨a, ⟨fina, suba⟩, rfl⟩ ⟨b, ⟨finb, subb⟩, rfl⟩
exact ⟨⋂₀ (a ∪ b), mem_image_of_mem _ ⟨fina.union finb, union_subset suba subb⟩,
(sInter_union _ _).subset⟩
#align filter.filter_basis.of_sets Filter.FilterBasis.ofSets
lemma FilterBasis.ofSets_sets (s : Set (Set α)) :
(FilterBasis.ofSets s).sets = sInter '' { t | Set.Finite t ∧ t ⊆ s } :=
rfl
-- Porting note: use `∃ i, p i ∧ _` instead of `∃ i (hi : p i), _`.
/-- Definition of `HasBasis` unfolded with implicit set argument. -/
theorem HasBasis.mem_iff (hl : l.HasBasis p s) : t ∈ l ↔ ∃ i, p i ∧ s i ⊆ t :=
hl.mem_iff' t
#align filter.has_basis.mem_iff Filter.HasBasis.mem_iffₓ
theorem HasBasis.eq_of_same_basis (hl : l.HasBasis p s) (hl' : l'.HasBasis p s) : l = l' := by
ext t
rw [hl.mem_iff, hl'.mem_iff]
#align filter.has_basis.eq_of_same_basis Filter.HasBasis.eq_of_same_basis
-- Porting note: use `∃ i, p i ∧ _` instead of `∃ i (hi : p i), _`.
theorem hasBasis_iff : l.HasBasis p s ↔ ∀ t, t ∈ l ↔ ∃ i, p i ∧ s i ⊆ t :=
⟨fun ⟨h⟩ => h, fun h => ⟨h⟩⟩
#align filter.has_basis_iff Filter.hasBasis_iffₓ
theorem HasBasis.ex_mem (h : l.HasBasis p s) : ∃ i, p i :=
(h.mem_iff.mp univ_mem).imp fun _ => And.left
#align filter.has_basis.ex_mem Filter.HasBasis.ex_mem
protected theorem HasBasis.nonempty (h : l.HasBasis p s) : Nonempty ι :=
nonempty_of_exists h.ex_mem
#align filter.has_basis.nonempty Filter.HasBasis.nonempty
protected theorem IsBasis.hasBasis (h : IsBasis p s) : HasBasis h.filter p s :=
⟨fun t => by simp only [h.mem_filter_iff, exists_prop]⟩
#align filter.is_basis.has_basis Filter.IsBasis.hasBasis
protected theorem HasBasis.mem_of_superset (hl : l.HasBasis p s) (hi : p i) (ht : s i ⊆ t) :
t ∈ l :=
hl.mem_iff.2 ⟨i, hi, ht⟩
#align filter.has_basis.mem_of_superset Filter.HasBasis.mem_of_superset
theorem HasBasis.mem_of_mem (hl : l.HasBasis p s) (hi : p i) : s i ∈ l :=
hl.mem_of_superset hi Subset.rfl
#align filter.has_basis.mem_of_mem Filter.HasBasis.mem_of_mem
/-- Index of a basis set such that `s i ⊆ t` as an element of `Subtype p`. -/
noncomputable def HasBasis.index (h : l.HasBasis p s) (t : Set α) (ht : t ∈ l) : { i : ι // p i } :=
⟨(h.mem_iff.1 ht).choose, (h.mem_iff.1 ht).choose_spec.1⟩
#align filter.has_basis.index Filter.HasBasis.index
theorem HasBasis.property_index (h : l.HasBasis p s) (ht : t ∈ l) : p (h.index t ht) :=
(h.index t ht).2
#align filter.has_basis.property_index Filter.HasBasis.property_index
theorem HasBasis.set_index_mem (h : l.HasBasis p s) (ht : t ∈ l) : s (h.index t ht) ∈ l :=
h.mem_of_mem <| h.property_index _
#align filter.has_basis.set_index_mem Filter.HasBasis.set_index_mem
theorem HasBasis.set_index_subset (h : l.HasBasis p s) (ht : t ∈ l) : s (h.index t ht) ⊆ t :=
(h.mem_iff.1 ht).choose_spec.2
#align filter.has_basis.set_index_subset Filter.HasBasis.set_index_subset
theorem HasBasis.isBasis (h : l.HasBasis p s) : IsBasis p s where
nonempty := h.ex_mem
inter hi hj := by
simpa only [h.mem_iff] using inter_mem (h.mem_of_mem hi) (h.mem_of_mem hj)
#align filter.has_basis.is_basis Filter.HasBasis.isBasis
theorem HasBasis.filter_eq (h : l.HasBasis p s) : h.isBasis.filter = l := by
ext U
simp [h.mem_iff, IsBasis.mem_filter_iff]
#align filter.has_basis.filter_eq Filter.HasBasis.filter_eq
theorem HasBasis.eq_generate (h : l.HasBasis p s) : l = generate { U | ∃ i, p i ∧ s i = U } := by
rw [← h.isBasis.filter_eq_generate, h.filter_eq]
#align filter.has_basis.eq_generate Filter.HasBasis.eq_generate
theorem generate_eq_generate_inter (s : Set (Set α)) :
generate s = generate (sInter '' { t | Set.Finite t ∧ t ⊆ s }) := by
rw [← FilterBasis.ofSets_sets, FilterBasis.generate, ← (hasBasis_generate s).filter_eq]; rfl
#align filter.generate_eq_generate_inter Filter.generate_eq_generate_inter
theorem ofSets_filter_eq_generate (s : Set (Set α)) :
(FilterBasis.ofSets s).filter = generate s := by
rw [← (FilterBasis.ofSets s).generate, FilterBasis.ofSets_sets, ← generate_eq_generate_inter]
#align filter.of_sets_filter_eq_generate Filter.ofSets_filter_eq_generate
protected theorem _root_.FilterBasis.hasBasis (B : FilterBasis α) :
HasBasis B.filter (fun s : Set α => s ∈ B) id :=
⟨fun _ => B.mem_filter_iff⟩
#align filter_basis.has_basis FilterBasis.hasBasis
theorem HasBasis.to_hasBasis' (hl : l.HasBasis p s) (h : ∀ i, p i → ∃ i', p' i' ∧ s' i' ⊆ s i)
(h' : ∀ i', p' i' → s' i' ∈ l) : l.HasBasis p' s' := by
refine ⟨fun t => ⟨fun ht => ?_, fun ⟨i', hi', ht⟩ => mem_of_superset (h' i' hi') ht⟩⟩
rcases hl.mem_iff.1 ht with ⟨i, hi, ht⟩
rcases h i hi with ⟨i', hi', hs's⟩
exact ⟨i', hi', hs's.trans ht⟩
#align filter.has_basis.to_has_basis' Filter.HasBasis.to_hasBasis'
theorem HasBasis.to_hasBasis (hl : l.HasBasis p s) (h : ∀ i, p i → ∃ i', p' i' ∧ s' i' ⊆ s i)
(h' : ∀ i', p' i' → ∃ i, p i ∧ s i ⊆ s' i') : l.HasBasis p' s' :=
hl.to_hasBasis' h fun i' hi' =>
let ⟨i, hi, hss'⟩ := h' i' hi'
hl.mem_iff.2 ⟨i, hi, hss'⟩
#align filter.has_basis.to_has_basis Filter.HasBasis.to_hasBasis
protected lemma HasBasis.congr (hl : l.HasBasis p s) {p' s'} (hp : ∀ i, p i ↔ p' i)
(hs : ∀ i, p i → s i = s' i) : l.HasBasis p' s' :=
⟨fun t ↦ by simp only [hl.mem_iff, ← hp]; exact exists_congr fun i ↦
and_congr_right fun hi ↦ hs i hi ▸ Iff.rfl⟩
theorem HasBasis.to_subset (hl : l.HasBasis p s) {t : ι → Set α} (h : ∀ i, p i → t i ⊆ s i)
(ht : ∀ i, p i → t i ∈ l) : l.HasBasis p t :=
hl.to_hasBasis' (fun i hi => ⟨i, hi, h i hi⟩) ht
#align filter.has_basis.to_subset Filter.HasBasis.to_subset
theorem HasBasis.eventually_iff (hl : l.HasBasis p s) {q : α → Prop} :
(∀ᶠ x in l, q x) ↔ ∃ i, p i ∧ ∀ ⦃x⦄, x ∈ s i → q x := by simpa using hl.mem_iff
#align filter.has_basis.eventually_iff Filter.HasBasis.eventually_iff
theorem HasBasis.frequently_iff (hl : l.HasBasis p s) {q : α → Prop} :
(∃ᶠ x in l, q x) ↔ ∀ i, p i → ∃ x ∈ s i, q x := by
simp only [Filter.Frequently, hl.eventually_iff]; push_neg; rfl
#align filter.has_basis.frequently_iff Filter.HasBasis.frequently_iff
-- Porting note: use `∃ i, p i ∧ _` instead of `∃ i (hi : p i), _`.
theorem HasBasis.exists_iff (hl : l.HasBasis p s) {P : Set α → Prop}
(mono : ∀ ⦃s t⦄, s ⊆ t → P t → P s) : (∃ s ∈ l, P s) ↔ ∃ i, p i ∧ P (s i) :=
⟨fun ⟨_s, hs, hP⟩ =>
let ⟨i, hi, his⟩ := hl.mem_iff.1 hs
⟨i, hi, mono his hP⟩,
fun ⟨i, hi, hP⟩ => ⟨s i, hl.mem_of_mem hi, hP⟩⟩
#align filter.has_basis.exists_iff Filter.HasBasis.exists_iffₓ
theorem HasBasis.forall_iff (hl : l.HasBasis p s) {P : Set α → Prop}
(mono : ∀ ⦃s t⦄, s ⊆ t → P s → P t) : (∀ s ∈ l, P s) ↔ ∀ i, p i → P (s i) :=
⟨fun H i hi => H (s i) <| hl.mem_of_mem hi, fun H _s hs =>
let ⟨i, hi, his⟩ := hl.mem_iff.1 hs
mono his (H i hi)⟩
#align filter.has_basis.forall_iff Filter.HasBasis.forall_iff
protected theorem HasBasis.neBot_iff (hl : l.HasBasis p s) :
NeBot l ↔ ∀ {i}, p i → (s i).Nonempty :=
forall_mem_nonempty_iff_neBot.symm.trans <| hl.forall_iff fun _ _ => Nonempty.mono
#align filter.has_basis.ne_bot_iff Filter.HasBasis.neBot_iff
theorem HasBasis.eq_bot_iff (hl : l.HasBasis p s) : l = ⊥ ↔ ∃ i, p i ∧ s i = ∅ :=
not_iff_not.1 <| neBot_iff.symm.trans <|
hl.neBot_iff.trans <| by simp only [not_exists, not_and, nonempty_iff_ne_empty]
#align filter.has_basis.eq_bot_iff Filter.HasBasis.eq_bot_iff
theorem generate_neBot_iff {s : Set (Set α)} :
NeBot (generate s) ↔ ∀ t, t ⊆ s → t.Finite → (⋂₀ t).Nonempty :=
(hasBasis_generate s).neBot_iff.trans <| by simp only [← and_imp, and_comm]
#align filter.generate_ne_bot_iff Filter.generate_neBot_iff
theorem basis_sets (l : Filter α) : l.HasBasis (fun s : Set α => s ∈ l) id :=
⟨fun _ => exists_mem_subset_iff.symm⟩
#align filter.basis_sets Filter.basis_sets
theorem asBasis_filter (f : Filter α) : f.asBasis.filter = f :=
Filter.ext fun _ => exists_mem_subset_iff
#align filter.as_basis_filter Filter.asBasis_filter
theorem hasBasis_self {l : Filter α} {P : Set α → Prop} :
HasBasis l (fun s => s ∈ l ∧ P s) id ↔ ∀ t ∈ l, ∃ r ∈ l, P r ∧ r ⊆ t := by
simp only [hasBasis_iff, id, and_assoc]
exact forall_congr' fun s =>
⟨fun h => h.1, fun h => ⟨h, fun ⟨t, hl, _, hts⟩ => mem_of_superset hl hts⟩⟩
#align filter.has_basis_self Filter.hasBasis_self
theorem HasBasis.comp_surjective (h : l.HasBasis p s) {g : ι' → ι} (hg : Function.Surjective g) :
l.HasBasis (p ∘ g) (s ∘ g) :=
⟨fun _ => h.mem_iff.trans hg.exists⟩
#align filter.has_basis.comp_surjective Filter.HasBasis.comp_surjective
theorem HasBasis.comp_equiv (h : l.HasBasis p s) (e : ι' ≃ ι) : l.HasBasis (p ∘ e) (s ∘ e) :=
h.comp_surjective e.surjective
#align filter.has_basis.comp_equiv Filter.HasBasis.comp_equiv
theorem HasBasis.to_image_id' (h : l.HasBasis p s) : l.HasBasis (fun t ↦ ∃ i, p i ∧ s i = t) id :=
⟨fun _ ↦ by simp [h.mem_iff]⟩
theorem HasBasis.to_image_id {ι : Type*} {p : ι → Prop} {s : ι → Set α} (h : l.HasBasis p s) :
l.HasBasis (· ∈ s '' {i | p i}) id :=
h.to_image_id'
/-- If `{s i | p i}` is a basis of a filter `l` and each `s i` includes `s j` such that
`p j ∧ q j`, then `{s j | p j ∧ q j}` is a basis of `l`. -/
theorem HasBasis.restrict (h : l.HasBasis p s) {q : ι → Prop}
(hq : ∀ i, p i → ∃ j, p j ∧ q j ∧ s j ⊆ s i) : l.HasBasis (fun i => p i ∧ q i) s := by
refine ⟨fun t => ⟨fun ht => ?_, fun ⟨i, hpi, hti⟩ => h.mem_iff.2 ⟨i, hpi.1, hti⟩⟩⟩
rcases h.mem_iff.1 ht with ⟨i, hpi, hti⟩
rcases hq i hpi with ⟨j, hpj, hqj, hji⟩
exact ⟨j, ⟨hpj, hqj⟩, hji.trans hti⟩
#align filter.has_basis.restrict Filter.HasBasis.restrict
/-- If `{s i | p i}` is a basis of a filter `l` and `V ∈ l`, then `{s i | p i ∧ s i ⊆ V}`
is a basis of `l`. -/
theorem HasBasis.restrict_subset (h : l.HasBasis p s) {V : Set α} (hV : V ∈ l) :
l.HasBasis (fun i => p i ∧ s i ⊆ V) s :=
h.restrict fun _i hi => (h.mem_iff.1 (inter_mem hV (h.mem_of_mem hi))).imp fun _j hj =>
⟨hj.1, subset_inter_iff.1 hj.2⟩
#align filter.has_basis.restrict_subset Filter.HasBasis.restrict_subset
theorem HasBasis.hasBasis_self_subset {p : Set α → Prop} (h : l.HasBasis (fun s => s ∈ l ∧ p s) id)
{V : Set α} (hV : V ∈ l) : l.HasBasis (fun s => s ∈ l ∧ p s ∧ s ⊆ V) id := by
simpa only [and_assoc] using h.restrict_subset hV
#align filter.has_basis.has_basis_self_subset Filter.HasBasis.hasBasis_self_subset
theorem HasBasis.ge_iff (hl' : l'.HasBasis p' s') : l ≤ l' ↔ ∀ i', p' i' → s' i' ∈ l :=
⟨fun h _i' hi' => h <| hl'.mem_of_mem hi', fun h _s hs =>
let ⟨_i', hi', hs⟩ := hl'.mem_iff.1 hs
mem_of_superset (h _ hi') hs⟩
#align filter.has_basis.ge_iff Filter.HasBasis.ge_iff
-- Porting note: use `∃ i, p i ∧ _` instead of `∃ i (hi : p i), _`.
theorem HasBasis.le_iff (hl : l.HasBasis p s) : l ≤ l' ↔ ∀ t ∈ l', ∃ i, p i ∧ s i ⊆ t := by
simp only [le_def, hl.mem_iff]
#align filter.has_basis.le_iff Filter.HasBasis.le_iffₓ
-- Porting note: use `∃ i, p i ∧ _` instead of `∃ i (hi : p i), _`.
theorem HasBasis.le_basis_iff (hl : l.HasBasis p s) (hl' : l'.HasBasis p' s') :
l ≤ l' ↔ ∀ i', p' i' → ∃ i, p i ∧ s i ⊆ s' i' := by
simp only [hl'.ge_iff, hl.mem_iff]
#align filter.has_basis.le_basis_iff Filter.HasBasis.le_basis_iffₓ
-- Porting note: use `∃ i, p i ∧ _` instead of `∃ i (hi : p i), _`.
theorem HasBasis.ext (hl : l.HasBasis p s) (hl' : l'.HasBasis p' s')
(h : ∀ i, p i → ∃ i', p' i' ∧ s' i' ⊆ s i) (h' : ∀ i', p' i' → ∃ i, p i ∧ s i ⊆ s' i') :
l = l' := by
apply le_antisymm
· rw [hl.le_basis_iff hl']
simpa using h'
· rw [hl'.le_basis_iff hl]
simpa using h
#align filter.has_basis.ext Filter.HasBasis.extₓ
theorem HasBasis.inf' (hl : l.HasBasis p s) (hl' : l'.HasBasis p' s') :
(l ⊓ l').HasBasis (fun i : PProd ι ι' => p i.1 ∧ p' i.2) fun i => s i.1 ∩ s' i.2 :=
⟨by
intro t
constructor
· simp only [mem_inf_iff, hl.mem_iff, hl'.mem_iff]
rintro ⟨t, ⟨i, hi, ht⟩, t', ⟨i', hi', ht'⟩, rfl⟩
exact ⟨⟨i, i'⟩, ⟨hi, hi'⟩, inter_subset_inter ht ht'⟩
· rintro ⟨⟨i, i'⟩, ⟨hi, hi'⟩, H⟩
exact mem_inf_of_inter (hl.mem_of_mem hi) (hl'.mem_of_mem hi') H⟩
#align filter.has_basis.inf' Filter.HasBasis.inf'
theorem HasBasis.inf {ι ι' : Type*} {p : ι → Prop} {s : ι → Set α} {p' : ι' → Prop}
{s' : ι' → Set α} (hl : l.HasBasis p s) (hl' : l'.HasBasis p' s') :
(l ⊓ l').HasBasis (fun i : ι × ι' => p i.1 ∧ p' i.2) fun i => s i.1 ∩ s' i.2 :=
(hl.inf' hl').comp_equiv Equiv.pprodEquivProd.symm
#align filter.has_basis.inf Filter.HasBasis.inf
theorem hasBasis_iInf' {ι : Type*} {ι' : ι → Type*} {l : ι → Filter α} {p : ∀ i, ι' i → Prop}
{s : ∀ i, ι' i → Set α} (hl : ∀ i, (l i).HasBasis (p i) (s i)) :
(⨅ i, l i).HasBasis (fun If : Set ι × ∀ i, ι' i => If.1.Finite ∧ ∀ i ∈ If.1, p i (If.2 i))
fun If : Set ι × ∀ i, ι' i => ⋂ i ∈ If.1, s i (If.2 i) :=
⟨by
intro t
constructor
· simp only [mem_iInf', (hl _).mem_iff]
rintro ⟨I, hI, V, hV, -, rfl, -⟩
choose u hu using hV
exact ⟨⟨I, u⟩, ⟨hI, fun i _ => (hu i).1⟩, iInter₂_mono fun i _ => (hu i).2⟩
· rintro ⟨⟨I, f⟩, ⟨hI₁, hI₂⟩, hsub⟩
refine mem_of_superset ?_ hsub
exact (biInter_mem hI₁).mpr fun i hi => mem_iInf_of_mem i <| (hl i).mem_of_mem <| hI₂ _ hi⟩
#align filter.has_basis_infi' Filter.hasBasis_iInf'
theorem hasBasis_iInf {ι : Type*} {ι' : ι → Type*} {l : ι → Filter α} {p : ∀ i, ι' i → Prop}
{s : ∀ i, ι' i → Set α} (hl : ∀ i, (l i).HasBasis (p i) (s i)) :
(⨅ i, l i).HasBasis
(fun If : Σ I : Set ι, ∀ i : I, ι' i => If.1.Finite ∧ ∀ i : If.1, p i (If.2 i)) fun If =>
⋂ i : If.1, s i (If.2 i) := by
refine ⟨fun t => ⟨fun ht => ?_, ?_⟩⟩
· rcases (hasBasis_iInf' hl).mem_iff.mp ht with ⟨⟨I, f⟩, ⟨hI, hf⟩, hsub⟩
exact ⟨⟨I, fun i => f i⟩, ⟨hI, Subtype.forall.mpr hf⟩, trans (iInter_subtype _ _) hsub⟩
· rintro ⟨⟨I, f⟩, ⟨hI, hf⟩, hsub⟩
refine mem_of_superset ?_ hsub
cases hI.nonempty_fintype
exact iInter_mem.2 fun i => mem_iInf_of_mem ↑i <| (hl i).mem_of_mem <| hf _
#align filter.has_basis_infi Filter.hasBasis_iInf
theorem hasBasis_iInf_of_directed' {ι : Type*} {ι' : ι → Sort _} [Nonempty ι] {l : ι → Filter α}
(s : ∀ i, ι' i → Set α) (p : ∀ i, ι' i → Prop) (hl : ∀ i, (l i).HasBasis (p i) (s i))
(h : Directed (· ≥ ·) l) :
(⨅ i, l i).HasBasis (fun ii' : Σi, ι' i => p ii'.1 ii'.2) fun ii' => s ii'.1 ii'.2 := by
refine ⟨fun t => ?_⟩
rw [mem_iInf_of_directed h, Sigma.exists]
exact exists_congr fun i => (hl i).mem_iff
#align filter.has_basis_infi_of_directed' Filter.hasBasis_iInf_of_directed'
theorem hasBasis_iInf_of_directed {ι : Type*} {ι' : Sort _} [Nonempty ι] {l : ι → Filter α}
(s : ι → ι' → Set α) (p : ι → ι' → Prop) (hl : ∀ i, (l i).HasBasis (p i) (s i))
(h : Directed (· ≥ ·) l) :
(⨅ i, l i).HasBasis (fun ii' : ι × ι' => p ii'.1 ii'.2) fun ii' => s ii'.1 ii'.2 := by
refine ⟨fun t => ?_⟩
rw [mem_iInf_of_directed h, Prod.exists]
exact exists_congr fun i => (hl i).mem_iff
#align filter.has_basis_infi_of_directed Filter.hasBasis_iInf_of_directed
theorem hasBasis_biInf_of_directed' {ι : Type*} {ι' : ι → Sort _} {dom : Set ι}
(hdom : dom.Nonempty) {l : ι → Filter α} (s : ∀ i, ι' i → Set α) (p : ∀ i, ι' i → Prop)
(hl : ∀ i ∈ dom, (l i).HasBasis (p i) (s i)) (h : DirectedOn (l ⁻¹'o GE.ge) dom) :
(⨅ i ∈ dom, l i).HasBasis (fun ii' : Σi, ι' i => ii'.1 ∈ dom ∧ p ii'.1 ii'.2) fun ii' =>
s ii'.1 ii'.2 := by
refine ⟨fun t => ?_⟩
rw [mem_biInf_of_directed h hdom, Sigma.exists]
refine exists_congr fun i => ⟨?_, ?_⟩
· rintro ⟨hi, hti⟩
rcases (hl i hi).mem_iff.mp hti with ⟨b, hb, hbt⟩
exact ⟨b, ⟨hi, hb⟩, hbt⟩
· rintro ⟨b, ⟨hi, hb⟩, hibt⟩
exact ⟨hi, (hl i hi).mem_iff.mpr ⟨b, hb, hibt⟩⟩
#align filter.has_basis_binfi_of_directed' Filter.hasBasis_biInf_of_directed'
theorem hasBasis_biInf_of_directed {ι : Type*} {ι' : Sort _} {dom : Set ι} (hdom : dom.Nonempty)
{l : ι → Filter α} (s : ι → ι' → Set α) (p : ι → ι' → Prop)
(hl : ∀ i ∈ dom, (l i).HasBasis (p i) (s i)) (h : DirectedOn (l ⁻¹'o GE.ge) dom) :
(⨅ i ∈ dom, l i).HasBasis (fun ii' : ι × ι' => ii'.1 ∈ dom ∧ p ii'.1 ii'.2) fun ii' =>
s ii'.1 ii'.2 := by
refine ⟨fun t => ?_⟩
rw [mem_biInf_of_directed h hdom, Prod.exists]
refine exists_congr fun i => ⟨?_, ?_⟩
· rintro ⟨hi, hti⟩
rcases (hl i hi).mem_iff.mp hti with ⟨b, hb, hbt⟩
exact ⟨b, ⟨hi, hb⟩, hbt⟩
· rintro ⟨b, ⟨hi, hb⟩, hibt⟩
exact ⟨hi, (hl i hi).mem_iff.mpr ⟨b, hb, hibt⟩⟩
#align filter.has_basis_binfi_of_directed Filter.hasBasis_biInf_of_directed
theorem hasBasis_principal (t : Set α) : (𝓟 t).HasBasis (fun _ : Unit => True) fun _ => t :=
⟨fun U => by simp⟩
#align filter.has_basis_principal Filter.hasBasis_principal
theorem hasBasis_pure (x : α) :
(pure x : Filter α).HasBasis (fun _ : Unit => True) fun _ => {x} := by
simp only [← principal_singleton, hasBasis_principal]
#align filter.has_basis_pure Filter.hasBasis_pure
theorem HasBasis.sup' (hl : l.HasBasis p s) (hl' : l'.HasBasis p' s') :
(l ⊔ l').HasBasis (fun i : PProd ι ι' => p i.1 ∧ p' i.2) fun i => s i.1 ∪ s' i.2 :=
⟨by
intro t
simp_rw [mem_sup, hl.mem_iff, hl'.mem_iff, PProd.exists, union_subset_iff,
← exists_and_right, ← exists_and_left]
simp only [and_assoc, and_left_comm]⟩
#align filter.has_basis.sup' Filter.HasBasis.sup'
theorem HasBasis.sup {ι ι' : Type*} {p : ι → Prop} {s : ι → Set α} {p' : ι' → Prop}
{s' : ι' → Set α} (hl : l.HasBasis p s) (hl' : l'.HasBasis p' s') :
(l ⊔ l').HasBasis (fun i : ι × ι' => p i.1 ∧ p' i.2) fun i => s i.1 ∪ s' i.2 :=
(hl.sup' hl').comp_equiv Equiv.pprodEquivProd.symm
#align filter.has_basis.sup Filter.HasBasis.sup
theorem hasBasis_iSup {ι : Sort*} {ι' : ι → Type*} {l : ι → Filter α} {p : ∀ i, ι' i → Prop}
{s : ∀ i, ι' i → Set α} (hl : ∀ i, (l i).HasBasis (p i) (s i)) :
(⨆ i, l i).HasBasis (fun f : ∀ i, ι' i => ∀ i, p i (f i)) fun f : ∀ i, ι' i => ⋃ i, s i (f i) :=
hasBasis_iff.mpr fun t => by
simp only [hasBasis_iff, (hl _).mem_iff, Classical.skolem, forall_and, iUnion_subset_iff,
mem_iSup]
#align filter.has_basis_supr Filter.hasBasis_iSup
theorem HasBasis.sup_principal (hl : l.HasBasis p s) (t : Set α) :
(l ⊔ 𝓟 t).HasBasis p fun i => s i ∪ t :=
⟨fun u => by
simp only [(hl.sup' (hasBasis_principal t)).mem_iff, PProd.exists, exists_prop, and_true_iff,
Unique.exists_iff]⟩
#align filter.has_basis.sup_principal Filter.HasBasis.sup_principal
theorem HasBasis.sup_pure (hl : l.HasBasis p s) (x : α) :
(l ⊔ pure x).HasBasis p fun i => s i ∪ {x} := by
simp only [← principal_singleton, hl.sup_principal]
#align filter.has_basis.sup_pure Filter.HasBasis.sup_pure
theorem HasBasis.inf_principal (hl : l.HasBasis p s) (s' : Set α) :
(l ⊓ 𝓟 s').HasBasis p fun i => s i ∩ s' :=
⟨fun t => by
simp only [mem_inf_principal, hl.mem_iff, subset_def, mem_setOf_eq, mem_inter_iff, and_imp]⟩
#align filter.has_basis.inf_principal Filter.HasBasis.inf_principal
theorem HasBasis.principal_inf (hl : l.HasBasis p s) (s' : Set α) :
(𝓟 s' ⊓ l).HasBasis p fun i => s' ∩ s i := by
simpa only [inf_comm, inter_comm] using hl.inf_principal s'
#align filter.has_basis.principal_inf Filter.HasBasis.principal_inf
theorem HasBasis.inf_basis_neBot_iff (hl : l.HasBasis p s) (hl' : l'.HasBasis p' s') :
NeBot (l ⊓ l') ↔ ∀ ⦃i⦄, p i → ∀ ⦃i'⦄, p' i' → (s i ∩ s' i').Nonempty :=
(hl.inf' hl').neBot_iff.trans <| by simp [@forall_swap _ ι']
#align filter.has_basis.inf_basis_ne_bot_iff Filter.HasBasis.inf_basis_neBot_iff
theorem HasBasis.inf_neBot_iff (hl : l.HasBasis p s) :
NeBot (l ⊓ l') ↔ ∀ ⦃i⦄, p i → ∀ ⦃s'⦄, s' ∈ l' → (s i ∩ s').Nonempty :=
hl.inf_basis_neBot_iff l'.basis_sets
#align filter.has_basis.inf_ne_bot_iff Filter.HasBasis.inf_neBot_iff
theorem HasBasis.inf_principal_neBot_iff (hl : l.HasBasis p s) {t : Set α} :
NeBot (l ⊓ 𝓟 t) ↔ ∀ ⦃i⦄, p i → (s i ∩ t).Nonempty :=
(hl.inf_principal t).neBot_iff
#align filter.has_basis.inf_principal_ne_bot_iff Filter.HasBasis.inf_principal_neBot_iff
-- Porting note: use `∃ i, p i ∧ _` instead of `∃ i (hi : p i), _`.
theorem HasBasis.disjoint_iff (hl : l.HasBasis p s) (hl' : l'.HasBasis p' s') :
Disjoint l l' ↔ ∃ i, p i ∧ ∃ i', p' i' ∧ Disjoint (s i) (s' i') :=
not_iff_not.mp <| by simp only [_root_.disjoint_iff, ← Ne.eq_def, ← neBot_iff, inf_eq_inter,
hl.inf_basis_neBot_iff hl', not_exists, not_and, bot_eq_empty, ← nonempty_iff_ne_empty]
#align filter.has_basis.disjoint_iff Filter.HasBasis.disjoint_iffₓ
-- Porting note: use `∃ i, p i ∧ _` instead of `∃ i (hi : p i), _`.
theorem _root_.Disjoint.exists_mem_filter_basis (h : Disjoint l l') (hl : l.HasBasis p s)
(hl' : l'.HasBasis p' s') : ∃ i, p i ∧ ∃ i', p' i' ∧ Disjoint (s i) (s' i') :=
(hl.disjoint_iff hl').1 h
#align disjoint.exists_mem_filter_basis Disjoint.exists_mem_filter_basisₓ
theorem _root_.Pairwise.exists_mem_filter_basis_of_disjoint {I} [Finite I] {l : I → Filter α}
{ι : I → Sort*} {p : ∀ i, ι i → Prop} {s : ∀ i, ι i → Set α} (hd : Pairwise (Disjoint on l))
(h : ∀ i, (l i).HasBasis (p i) (s i)) :
∃ ind : ∀ i, ι i, (∀ i, p i (ind i)) ∧ Pairwise (Disjoint on fun i => s i (ind i)) := by
rcases hd.exists_mem_filter_of_disjoint with ⟨t, htl, hd⟩
choose ind hp ht using fun i => (h i).mem_iff.1 (htl i)
exact ⟨ind, hp, hd.mono fun i j hij => hij.mono (ht _) (ht _)⟩
#align pairwise.exists_mem_filter_basis_of_disjoint Pairwise.exists_mem_filter_basis_of_disjoint
theorem _root_.Set.PairwiseDisjoint.exists_mem_filter_basis {I : Type*} {l : I → Filter α}
{ι : I → Sort*} {p : ∀ i, ι i → Prop} {s : ∀ i, ι i → Set α} {S : Set I}
(hd : S.PairwiseDisjoint l) (hS : S.Finite) (h : ∀ i, (l i).HasBasis (p i) (s i)) :
∃ ind : ∀ i, ι i, (∀ i, p i (ind i)) ∧ S.PairwiseDisjoint fun i => s i (ind i) := by
rcases hd.exists_mem_filter hS with ⟨t, htl, hd⟩
choose ind hp ht using fun i => (h i).mem_iff.1 (htl i)
exact ⟨ind, hp, hd.mono ht⟩
#align set.pairwise_disjoint.exists_mem_filter_basis Set.PairwiseDisjoint.exists_mem_filter_basis
theorem inf_neBot_iff :
NeBot (l ⊓ l') ↔ ∀ ⦃s : Set α⦄, s ∈ l → ∀ ⦃s'⦄, s' ∈ l' → (s ∩ s').Nonempty :=
l.basis_sets.inf_neBot_iff
#align filter.inf_ne_bot_iff Filter.inf_neBot_iff
theorem inf_principal_neBot_iff {s : Set α} : NeBot (l ⊓ 𝓟 s) ↔ ∀ U ∈ l, (U ∩ s).Nonempty :=
l.basis_sets.inf_principal_neBot_iff
#align filter.inf_principal_ne_bot_iff Filter.inf_principal_neBot_iff
theorem mem_iff_inf_principal_compl {f : Filter α} {s : Set α} : s ∈ f ↔ f ⊓ 𝓟 sᶜ = ⊥ := by
refine not_iff_not.1 ((inf_principal_neBot_iff.trans ?_).symm.trans neBot_iff)
exact
⟨fun h hs => by simpa [Set.not_nonempty_empty] using h s hs, fun hs t ht =>
inter_compl_nonempty_iff.2 fun hts => hs <| mem_of_superset ht hts⟩
#align filter.mem_iff_inf_principal_compl Filter.mem_iff_inf_principal_compl
theorem not_mem_iff_inf_principal_compl {f : Filter α} {s : Set α} : s ∉ f ↔ NeBot (f ⊓ 𝓟 sᶜ) :=
(not_congr mem_iff_inf_principal_compl).trans neBot_iff.symm
#align filter.not_mem_iff_inf_principal_compl Filter.not_mem_iff_inf_principal_compl
@[simp]
theorem disjoint_principal_right {f : Filter α} {s : Set α} : Disjoint f (𝓟 s) ↔ sᶜ ∈ f := by
rw [mem_iff_inf_principal_compl, compl_compl, disjoint_iff]
#align filter.disjoint_principal_right Filter.disjoint_principal_right
@[simp]
theorem disjoint_principal_left {f : Filter α} {s : Set α} : Disjoint (𝓟 s) f ↔ sᶜ ∈ f := by
rw [disjoint_comm, disjoint_principal_right]
#align filter.disjoint_principal_left Filter.disjoint_principal_left
@[simp 1100] -- Porting note: higher priority for linter
theorem disjoint_principal_principal {s t : Set α} : Disjoint (𝓟 s) (𝓟 t) ↔ Disjoint s t := by
rw [← subset_compl_iff_disjoint_left, disjoint_principal_left, mem_principal]
#align filter.disjoint_principal_principal Filter.disjoint_principal_principal
alias ⟨_, _root_.Disjoint.filter_principal⟩ := disjoint_principal_principal
#align disjoint.filter_principal Disjoint.filter_principal
@[simp]
theorem disjoint_pure_pure {x y : α} : Disjoint (pure x : Filter α) (pure y) ↔ x ≠ y := by
simp only [← principal_singleton, disjoint_principal_principal, disjoint_singleton]
#align filter.disjoint_pure_pure Filter.disjoint_pure_pure
@[simp]
| Mathlib/Order/Filter/Bases.lean | 734 | 735 | theorem compl_diagonal_mem_prod {l₁ l₂ : Filter α} : (diagonal α)ᶜ ∈ l₁ ×ˢ l₂ ↔ Disjoint l₁ l₂ := by |
simp only [mem_prod_iff, Filter.disjoint_iff, prod_subset_compl_diagonal_iff_disjoint]
|
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp, Yury Kudryashov
-/
import Mathlib.Analysis.Convex.Between
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.Topology
import Mathlib.Analysis.Normed.Group.Pointwise
import Mathlib.Analysis.NormedSpace.AddTorsor
#align_import analysis.convex.normed from "leanprover-community/mathlib"@"a63928c34ec358b5edcda2bf7513c50052a5230f"
/-!
# Topological and metric properties of convex sets in normed spaces
We prove the following facts:
* `convexOn_norm`, `convexOn_dist` : norm and distance to a fixed point is convex on any convex
set;
* `convexOn_univ_norm`, `convexOn_univ_dist` : norm and distance to a fixed point is convex on
the whole space;
* `convexHull_ediam`, `convexHull_diam` : convex hull of a set has the same (e)metric diameter
as the original set;
* `bounded_convexHull` : convex hull of a set is bounded if and only if the original set
is bounded.
-/
variable {ι : Type*} {E P : Type*}
open Metric Set
open scoped Convex
variable [SeminormedAddCommGroup E] [NormedSpace ℝ E] [PseudoMetricSpace P] [NormedAddTorsor E P]
variable {s t : Set E}
/-- The norm on a real normed space is convex on any convex set. See also `Seminorm.convexOn`
and `convexOn_univ_norm`. -/
theorem convexOn_norm (hs : Convex ℝ s) : ConvexOn ℝ s norm :=
⟨hs, fun x _ y _ a b ha hb _ =>
calc
‖a • x + b • y‖ ≤ ‖a • x‖ + ‖b • y‖ := norm_add_le _ _
_ = a * ‖x‖ + b * ‖y‖ := by
rw [norm_smul, norm_smul, Real.norm_of_nonneg ha, Real.norm_of_nonneg hb]⟩
#align convex_on_norm convexOn_norm
/-- The norm on a real normed space is convex on the whole space. See also `Seminorm.convexOn`
and `convexOn_norm`. -/
theorem convexOn_univ_norm : ConvexOn ℝ univ (norm : E → ℝ) :=
convexOn_norm convex_univ
#align convex_on_univ_norm convexOn_univ_norm
theorem convexOn_dist (z : E) (hs : Convex ℝ s) : ConvexOn ℝ s fun z' => dist z' z := by
simpa [dist_eq_norm, preimage_preimage] using
(convexOn_norm (hs.translate (-z))).comp_affineMap (AffineMap.id ℝ E - AffineMap.const ℝ E z)
#align convex_on_dist convexOn_dist
theorem convexOn_univ_dist (z : E) : ConvexOn ℝ univ fun z' => dist z' z :=
convexOn_dist z convex_univ
#align convex_on_univ_dist convexOn_univ_dist
theorem convex_ball (a : E) (r : ℝ) : Convex ℝ (Metric.ball a r) := by
simpa only [Metric.ball, sep_univ] using (convexOn_univ_dist a).convex_lt r
#align convex_ball convex_ball
theorem convex_closedBall (a : E) (r : ℝ) : Convex ℝ (Metric.closedBall a r) := by
simpa only [Metric.closedBall, sep_univ] using (convexOn_univ_dist a).convex_le r
#align convex_closed_ball convex_closedBall
theorem Convex.thickening (hs : Convex ℝ s) (δ : ℝ) : Convex ℝ (thickening δ s) := by
rw [← add_ball_zero]
exact hs.add (convex_ball 0 _)
#align convex.thickening Convex.thickening
theorem Convex.cthickening (hs : Convex ℝ s) (δ : ℝ) : Convex ℝ (cthickening δ s) := by
obtain hδ | hδ := le_total 0 δ
· rw [cthickening_eq_iInter_thickening hδ]
exact convex_iInter₂ fun _ _ => hs.thickening _
· rw [cthickening_of_nonpos hδ]
exact hs.closure
#align convex.cthickening Convex.cthickening
/-- Given a point `x` in the convex hull of `s` and a point `y`, there exists a point
of `s` at distance at least `dist x y` from `y`. -/
theorem convexHull_exists_dist_ge {s : Set E} {x : E} (hx : x ∈ convexHull ℝ s) (y : E) :
∃ x' ∈ s, dist x y ≤ dist x' y :=
(convexOn_dist y (convex_convexHull ℝ _)).exists_ge_of_mem_convexHull hx
#align convex_hull_exists_dist_ge convexHull_exists_dist_ge
/-- Given a point `x` in the convex hull of `s` and a point `y` in the convex hull of `t`,
there exist points `x' ∈ s` and `y' ∈ t` at distance at least `dist x y`. -/
theorem convexHull_exists_dist_ge2 {s t : Set E} {x y : E} (hx : x ∈ convexHull ℝ s)
(hy : y ∈ convexHull ℝ t) : ∃ x' ∈ s, ∃ y' ∈ t, dist x y ≤ dist x' y' := by
rcases convexHull_exists_dist_ge hx y with ⟨x', hx', Hx'⟩
rcases convexHull_exists_dist_ge hy x' with ⟨y', hy', Hy'⟩
use x', hx', y', hy'
exact le_trans Hx' (dist_comm y x' ▸ dist_comm y' x' ▸ Hy')
#align convex_hull_exists_dist_ge2 convexHull_exists_dist_ge2
/-- Emetric diameter of the convex hull of a set `s` equals the emetric diameter of `s`. -/
@[simp]
theorem convexHull_ediam (s : Set E) : EMetric.diam (convexHull ℝ s) = EMetric.diam s := by
refine (EMetric.diam_le fun x hx y hy => ?_).antisymm (EMetric.diam_mono <| subset_convexHull ℝ s)
rcases convexHull_exists_dist_ge2 hx hy with ⟨x', hx', y', hy', H⟩
rw [edist_dist]
apply le_trans (ENNReal.ofReal_le_ofReal H)
rw [← edist_dist]
exact EMetric.edist_le_diam_of_mem hx' hy'
#align convex_hull_ediam convexHull_ediam
/-- Diameter of the convex hull of a set `s` equals the emetric diameter of `s`. -/
@[simp]
theorem convexHull_diam (s : Set E) : Metric.diam (convexHull ℝ s) = Metric.diam s := by
simp only [Metric.diam, convexHull_ediam]
#align convex_hull_diam convexHull_diam
/-- Convex hull of `s` is bounded if and only if `s` is bounded. -/
@[simp]
theorem isBounded_convexHull {s : Set E} :
Bornology.IsBounded (convexHull ℝ s) ↔ Bornology.IsBounded s := by
simp only [Metric.isBounded_iff_ediam_ne_top, convexHull_ediam]
#align bounded_convex_hull isBounded_convexHull
instance (priority := 100) NormedSpace.instPathConnectedSpace : PathConnectedSpace E :=
TopologicalAddGroup.pathConnectedSpace
#align normed_space.path_connected NormedSpace.instPathConnectedSpace
instance (priority := 100) NormedSpace.instLocPathConnectedSpace : LocPathConnectedSpace E :=
locPathConnected_of_bases (fun x => Metric.nhds_basis_ball) fun x r r_pos =>
(convex_ball x r).isPathConnected <| by simp [r_pos]
#align normed_space.loc_path_connected NormedSpace.instLocPathConnectedSpace
| Mathlib/Analysis/Convex/Normed.lean | 133 | 136 | theorem Wbtw.dist_add_dist {x y z : P} (h : Wbtw ℝ x y z) :
dist x y + dist y z = dist x z := by |
obtain ⟨a, ⟨ha₀, ha₁⟩, rfl⟩ := h
simp [abs_of_nonneg, ha₀, ha₁, sub_mul]
|
/-
Copyright (c) 2016 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Mario Carneiro, Johannes Hölzl
-/
import Mathlib.Order.BoundedOrder
import Mathlib.Order.MinMax
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Order.Monoid.Defs
#align_import algebra.order.monoid.canonical.defs from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
/-!
# Canonically ordered monoids
-/
universe u
variable {α : Type u}
/-- An `OrderedCommMonoid` with one-sided 'division' in the sense that
if `a ≤ b`, there is some `c` for which `a * c = b`. This is a weaker version
of the condition on canonical orderings defined by `CanonicallyOrderedCommMonoid`. -/
class ExistsMulOfLE (α : Type u) [Mul α] [LE α] : Prop where
/-- For `a ≤ b`, `a` left divides `b` -/
exists_mul_of_le : ∀ {a b : α}, a ≤ b → ∃ c : α, b = a * c
#align has_exists_mul_of_le ExistsMulOfLE
/-- An `OrderedAddCommMonoid` with one-sided 'subtraction' in the sense that
if `a ≤ b`, then there is some `c` for which `a + c = b`. This is a weaker version
of the condition on canonical orderings defined by `CanonicallyOrderedAddCommMonoid`. -/
class ExistsAddOfLE (α : Type u) [Add α] [LE α] : Prop where
/-- For `a ≤ b`, there is a `c` so `b = a + c`. -/
exists_add_of_le : ∀ {a b : α}, a ≤ b → ∃ c : α, b = a + c
#align has_exists_add_of_le ExistsAddOfLE
attribute [to_additive] ExistsMulOfLE
export ExistsMulOfLE (exists_mul_of_le)
export ExistsAddOfLE (exists_add_of_le)
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) Group.existsMulOfLE (α : Type u) [Group α] [LE α] : ExistsMulOfLE α :=
⟨fun {a b} _ => ⟨a⁻¹ * b, (mul_inv_cancel_left _ _).symm⟩⟩
#align group.has_exists_mul_of_le Group.existsMulOfLE
#align add_group.has_exists_add_of_le AddGroup.existsAddOfLE
section MulOneClass
variable [MulOneClass α] [Preorder α] [ContravariantClass α α (· * ·) (· < ·)] [ExistsMulOfLE α]
{a b : α}
@[to_additive]
theorem exists_one_lt_mul_of_lt' (h : a < b) : ∃ c, 1 < c ∧ a * c = b := by
obtain ⟨c, rfl⟩ := exists_mul_of_le h.le
exact ⟨c, one_lt_of_lt_mul_right h, rfl⟩
#align exists_one_lt_mul_of_lt' exists_one_lt_mul_of_lt'
#align exists_pos_add_of_lt' exists_pos_add_of_lt'
end MulOneClass
section ExistsMulOfLE
variable [LinearOrder α] [DenselyOrdered α] [Monoid α] [ExistsMulOfLE α]
[CovariantClass α α (· * ·) (· < ·)] [ContravariantClass α α (· * ·) (· < ·)] {a b : α}
@[to_additive]
theorem le_of_forall_one_lt_le_mul (h : ∀ ε : α, 1 < ε → a ≤ b * ε) : a ≤ b :=
le_of_forall_le_of_dense fun x hxb => by
obtain ⟨ε, rfl⟩ := exists_mul_of_le hxb.le
exact h _ ((lt_mul_iff_one_lt_right' b).1 hxb)
#align le_of_forall_one_lt_le_mul le_of_forall_one_lt_le_mul
#align le_of_forall_pos_le_add le_of_forall_pos_le_add
@[to_additive]
theorem le_of_forall_one_lt_lt_mul' (h : ∀ ε : α, 1 < ε → a < b * ε) : a ≤ b :=
le_of_forall_one_lt_le_mul fun ε hε => (h ε hε).le
#align le_of_forall_one_lt_lt_mul' le_of_forall_one_lt_lt_mul'
#align le_of_forall_pos_lt_add' le_of_forall_pos_lt_add'
@[to_additive]
theorem le_iff_forall_one_lt_lt_mul' : a ≤ b ↔ ∀ ε, 1 < ε → a < b * ε :=
⟨fun h _ => lt_mul_of_le_of_one_lt h, le_of_forall_one_lt_lt_mul'⟩
#align le_iff_forall_one_lt_lt_mul' le_iff_forall_one_lt_lt_mul'
#align le_iff_forall_pos_lt_add' le_iff_forall_pos_lt_add'
end ExistsMulOfLE
/-- A canonically ordered additive monoid is an ordered commutative additive monoid
in which the ordering coincides with the subtractibility relation,
which is to say, `a ≤ b` iff there exists `c` with `b = a + c`.
This is satisfied by the natural numbers, for example, but not
the integers or other nontrivial `OrderedAddCommGroup`s. -/
class CanonicallyOrderedAddCommMonoid (α : Type*) extends OrderedAddCommMonoid α, OrderBot α where
/-- For `a ≤ b`, there is a `c` so `b = a + c`. -/
protected exists_add_of_le : ∀ {a b : α}, a ≤ b → ∃ c, b = a + c
/-- For any `a` and `b`, `a ≤ a + b` -/
protected le_self_add : ∀ a b : α, a ≤ a + b
#align canonically_ordered_add_monoid CanonicallyOrderedAddCommMonoid
#align canonically_ordered_add_monoid.to_order_bot CanonicallyOrderedAddCommMonoid.toOrderBot
-- see Note [lower instance priority]
attribute [instance 100] CanonicallyOrderedAddCommMonoid.toOrderBot
/-- A canonically ordered monoid is an ordered commutative monoid
in which the ordering coincides with the divisibility relation,
which is to say, `a ≤ b` iff there exists `c` with `b = a * c`.
Examples seem rare; it seems more likely that the `OrderDual`
of a naturally-occurring lattice satisfies this than the lattice
itself (for example, dual of the lattice of ideals of a PID or
Dedekind domain satisfy this; collections of all things ≤ 1 seem to
be more natural that collections of all things ≥ 1).
-/
@[to_additive]
class CanonicallyOrderedCommMonoid (α : Type*) extends OrderedCommMonoid α, OrderBot α where
/-- For `a ≤ b`, there is a `c` so `b = a * c`. -/
protected exists_mul_of_le : ∀ {a b : α}, a ≤ b → ∃ c, b = a * c
/-- For any `a` and `b`, `a ≤ a * b` -/
protected le_self_mul : ∀ a b : α, a ≤ a * b
#align canonically_ordered_monoid CanonicallyOrderedAddCommMonoid
#align canonically_ordered_monoid.to_order_bot CanonicallyOrderedCommMonoid.toOrderBot
-- see Note [lower instance priority]
attribute [instance 100] CanonicallyOrderedCommMonoid.toOrderBot
-- see Note [lower instance priority]
@[to_additive]
instance (priority := 100) CanonicallyOrderedCommMonoid.existsMulOfLE (α : Type u)
[h : CanonicallyOrderedCommMonoid α] : ExistsMulOfLE α :=
{ h with }
#align canonically_ordered_monoid.has_exists_mul_of_le CanonicallyOrderedCommMonoid.existsMulOfLE
#align canonically_ordered_add_monoid.has_exists_add_of_le CanonicallyOrderedAddCommMonoid.existsAddOfLE
section CanonicallyOrderedCommMonoid
variable [CanonicallyOrderedCommMonoid α] {a b c d : α}
@[to_additive]
theorem le_self_mul : a ≤ a * c :=
CanonicallyOrderedCommMonoid.le_self_mul _ _
#align le_self_mul le_self_mul
#align le_self_add le_self_add
@[to_additive]
theorem le_mul_self : a ≤ b * a := by
rw [mul_comm]
exact le_self_mul
#align le_mul_self le_mul_self
#align le_add_self le_add_self
@[to_additive (attr := simp)]
theorem self_le_mul_right (a b : α) : a ≤ a * b :=
le_self_mul
#align self_le_mul_right self_le_mul_right
#align self_le_add_right self_le_add_right
@[to_additive (attr := simp)]
theorem self_le_mul_left (a b : α) : a ≤ b * a :=
le_mul_self
#align self_le_mul_left self_le_mul_left
#align self_le_add_left self_le_add_left
@[to_additive]
theorem le_of_mul_le_left : a * b ≤ c → a ≤ c :=
le_self_mul.trans
#align le_of_mul_le_left le_of_mul_le_left
#align le_of_add_le_left le_of_add_le_left
@[to_additive]
theorem le_of_mul_le_right : a * b ≤ c → b ≤ c :=
le_mul_self.trans
#align le_of_mul_le_right le_of_mul_le_right
#align le_of_add_le_right le_of_add_le_right
@[to_additive]
theorem le_mul_of_le_left : a ≤ b → a ≤ b * c :=
le_self_mul.trans'
#align le_mul_of_le_left le_mul_of_le_left
#align le_add_of_le_left le_add_of_le_left
@[to_additive]
theorem le_mul_of_le_right : a ≤ c → a ≤ b * c :=
le_mul_self.trans'
#align le_mul_of_le_right le_mul_of_le_right
#align le_add_of_le_right le_add_of_le_right
@[to_additive]
theorem le_iff_exists_mul : a ≤ b ↔ ∃ c, b = a * c :=
⟨exists_mul_of_le, by
rintro ⟨c, rfl⟩
exact le_self_mul⟩
#align le_iff_exists_mul le_iff_exists_mul
#align le_iff_exists_add le_iff_exists_add
@[to_additive]
theorem le_iff_exists_mul' : a ≤ b ↔ ∃ c, b = c * a := by
simp only [mul_comm _ a, le_iff_exists_mul]
#align le_iff_exists_mul' le_iff_exists_mul'
#align le_iff_exists_add' le_iff_exists_add'
@[to_additive (attr := simp) zero_le]
theorem one_le (a : α) : 1 ≤ a :=
le_iff_exists_mul.mpr ⟨a, (one_mul _).symm⟩
#align one_le one_le
#align zero_le zero_le
@[to_additive]
theorem bot_eq_one : (⊥ : α) = 1 :=
le_antisymm bot_le (one_le ⊥)
#align bot_eq_one bot_eq_one
#align bot_eq_zero bot_eq_zero
--TODO: This is a special case of `mul_eq_one`. We need the instance
-- `CanonicallyOrderedCommMonoid α → Unique αˣ`
@[to_additive (attr := simp)]
theorem mul_eq_one_iff : a * b = 1 ↔ a = 1 ∧ b = 1 :=
mul_eq_one_iff' (one_le _) (one_le _)
#align mul_eq_one_iff mul_eq_one_iff
#align add_eq_zero_iff add_eq_zero_iff
@[to_additive (attr := simp)]
theorem le_one_iff_eq_one : a ≤ 1 ↔ a = 1 :=
(one_le a).le_iff_eq
#align le_one_iff_eq_one le_one_iff_eq_one
#align nonpos_iff_eq_zero nonpos_iff_eq_zero
@[to_additive]
theorem one_lt_iff_ne_one : 1 < a ↔ a ≠ 1 :=
(one_le a).lt_iff_ne.trans ne_comm
#align one_lt_iff_ne_one one_lt_iff_ne_one
#align pos_iff_ne_zero pos_iff_ne_zero
@[to_additive]
theorem eq_one_or_one_lt (a : α) : a = 1 ∨ 1 < a := (one_le a).eq_or_lt.imp_left Eq.symm
#align eq_one_or_one_lt eq_one_or_one_lt
#align eq_zero_or_pos eq_zero_or_pos
@[to_additive (attr := simp) add_pos_iff]
theorem one_lt_mul_iff : 1 < a * b ↔ 1 < a ∨ 1 < b := by
simp only [one_lt_iff_ne_one, Ne, mul_eq_one_iff, not_and_or]
#align one_lt_mul_iff one_lt_mul_iff
#align add_pos_iff add_pos_iff
@[to_additive]
theorem exists_one_lt_mul_of_lt (h : a < b) : ∃ (c : _) (_ : 1 < c), a * c = b := by
obtain ⟨c, hc⟩ := le_iff_exists_mul.1 h.le
refine ⟨c, one_lt_iff_ne_one.2 ?_, hc.symm⟩
rintro rfl
simp [hc, lt_irrefl] at h
#align exists_one_lt_mul_of_lt exists_one_lt_mul_of_lt
#align exists_pos_add_of_lt exists_pos_add_of_lt
@[to_additive]
theorem le_mul_left (h : a ≤ c) : a ≤ b * c :=
calc
a = 1 * a := by simp
_ ≤ b * c := mul_le_mul' (one_le _) h
#align le_mul_left le_mul_left
#align le_add_left le_add_left
@[to_additive]
theorem le_mul_right (h : a ≤ b) : a ≤ b * c :=
calc
a = a * 1 := by simp
_ ≤ b * c := mul_le_mul' h (one_le _)
#align le_mul_right le_mul_right
#align le_add_right le_add_right
@[to_additive]
| Mathlib/Algebra/Order/Monoid/Canonical/Defs.lean | 273 | 285 | theorem lt_iff_exists_mul [CovariantClass α α (· * ·) (· < ·)] : a < b ↔ ∃ c > 1, b = a * c := by |
rw [lt_iff_le_and_ne, le_iff_exists_mul, ← exists_and_right]
apply exists_congr
intro c
rw [and_comm, and_congr_left_iff, gt_iff_lt]
rintro rfl
constructor
· rw [one_lt_iff_ne_one]
apply mt
rintro rfl
rw [mul_one]
· rw [← (self_le_mul_right a c).lt_iff_ne]
apply lt_mul_of_one_lt_right'
|
/-
Copyright (c) 2020 Nicolò Cavalleri. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Nicolò Cavalleri
-/
import Mathlib.RingTheory.Derivation.Lie
import Mathlib.Geometry.Manifold.DerivationBundle
#align_import geometry.manifold.algebra.left_invariant_derivation from "leanprover-community/mathlib"@"b608348ffaeb7f557f2fd46876037abafd326ff3"
/-!
# Left invariant derivations
In this file we define the concept of left invariant derivation for a Lie group. The concept is
analogous to the more classical concept of left invariant vector fields, and it holds that the
derivation associated to a vector field is left invariant iff the field is.
Moreover we prove that `LeftInvariantDerivation I G` has the structure of a Lie algebra, hence
implementing one of the possible definitions of the Lie algebra attached to a Lie group.
-/
noncomputable section
open scoped LieGroup Manifold Derivation
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) (G : Type*)
[TopologicalSpace G] [ChartedSpace H G] [Monoid G] [SmoothMul I G] (g h : G)
-- Generate trivial has_sizeof instance. It prevents weird type class inference timeout problems
-- Porting note(#12096): removed @[nolint instance_priority], linter not ported yet
-- @[local nolint instance_priority, local instance 10000]
-- private def disable_has_sizeof {α} : SizeOf α :=
-- ⟨fun _ => 0⟩
/-- Left-invariant global derivations.
A global derivation is left-invariant if it is equal to its pullback along left multiplication by
an arbitrary element of `G`.
-/
structure LeftInvariantDerivation extends Derivation 𝕜 C^∞⟮I, G; 𝕜⟯ C^∞⟮I, G; 𝕜⟯ where
left_invariant'' :
∀ g, 𝒅ₕ (smoothLeftMul_one I g) (Derivation.evalAt 1 toDerivation) =
Derivation.evalAt g toDerivation
#align left_invariant_derivation LeftInvariantDerivation
variable {I G}
namespace LeftInvariantDerivation
instance : Coe (LeftInvariantDerivation I G) (Derivation 𝕜 C^∞⟮I, G; 𝕜⟯ C^∞⟮I, G; 𝕜⟯) :=
⟨toDerivation⟩
attribute [coe] toDerivation
theorem toDerivation_injective :
Function.Injective (toDerivation : LeftInvariantDerivation I G → _) :=
fun X Y h => by cases X; cases Y; congr
#align left_invariant_derivation.coe_derivation_injective LeftInvariantDerivation.toDerivation_injective
instance : FunLike (LeftInvariantDerivation I G) C^∞⟮I, G; 𝕜⟯ C^∞⟮I, G; 𝕜⟯ where
coe f := f.toDerivation
coe_injective' _ _ h := toDerivation_injective <| DFunLike.ext' h
instance : LinearMapClass (LeftInvariantDerivation I G) 𝕜 C^∞⟮I, G; 𝕜⟯ C^∞⟮I, G; 𝕜⟯ where
map_add f := map_add f.1
map_smulₛₗ f := map_smul f.1.1
variable {M : Type*} [TopologicalSpace M] [ChartedSpace H M] {x : M} {r : 𝕜}
{X Y : LeftInvariantDerivation I G} {f f' : C^∞⟮I, G; 𝕜⟯}
theorem toFun_eq_coe : X.toFun = ⇑X :=
rfl
#align left_invariant_derivation.to_fun_eq_coe LeftInvariantDerivation.toFun_eq_coe
#noalign left_invariant_derivation.coe_to_linear_map
-- Porting note: now LHS is the same as RHS
#noalign left_invariant_derivation.to_derivation_eq_coe
theorem coe_injective :
@Function.Injective (LeftInvariantDerivation I G) (_ → C^∞⟮I, G; 𝕜⟯) DFunLike.coe :=
DFunLike.coe_injective
#align left_invariant_derivation.coe_injective LeftInvariantDerivation.coe_injective
@[ext]
theorem ext (h : ∀ f, X f = Y f) : X = Y := DFunLike.ext _ _ h
#align left_invariant_derivation.ext LeftInvariantDerivation.ext
variable (X Y f)
theorem coe_derivation :
⇑(X : Derivation 𝕜 C^∞⟮I, G; 𝕜⟯ C^∞⟮I, G; 𝕜⟯) = (X : C^∞⟮I, G; 𝕜⟯ → C^∞⟮I, G; 𝕜⟯) :=
rfl
#align left_invariant_derivation.coe_derivation LeftInvariantDerivation.coe_derivation
/-- Premature version of the lemma. Prefer using `left_invariant` instead. -/
theorem left_invariant' :
𝒅ₕ (smoothLeftMul_one I g) (Derivation.evalAt (1 : G) ↑X) = Derivation.evalAt g ↑X :=
left_invariant'' X g
#align left_invariant_derivation.left_invariant' LeftInvariantDerivation.left_invariant'
-- Porting note: was `@[simp]` but `_root_.map_add` can prove it now
protected theorem map_add : X (f + f') = X f + X f' := map_add X f f'
#align left_invariant_derivation.map_add LeftInvariantDerivation.map_add
-- Porting note: was `@[simp]` but `_root_.map_zero` can prove it now
protected theorem map_zero : X 0 = 0 := map_zero X
#align left_invariant_derivation.map_zero LeftInvariantDerivation.map_zero
-- Porting note: was `@[simp]` but `_root_.map_neg` can prove it now
protected theorem map_neg : X (-f) = -X f := map_neg X f
#align left_invariant_derivation.map_neg LeftInvariantDerivation.map_neg
-- Porting note: was `@[simp]` but `_root_.map_sub` can prove it now
protected theorem map_sub : X (f - f') = X f - X f' := map_sub X f f'
#align left_invariant_derivation.map_sub LeftInvariantDerivation.map_sub
-- Porting note: was `@[simp]` but `_root_.map_smul` can prove it now
protected theorem map_smul : X (r • f) = r • X f := map_smul X r f
#align left_invariant_derivation.map_smul LeftInvariantDerivation.map_smul
@[simp]
theorem leibniz : X (f * f') = f • X f' + f' • X f :=
X.leibniz' _ _
#align left_invariant_derivation.leibniz LeftInvariantDerivation.leibniz
instance : Zero (LeftInvariantDerivation I G) :=
⟨⟨0, fun g => by simp only [_root_.map_zero]⟩⟩
instance : Inhabited (LeftInvariantDerivation I G) :=
⟨0⟩
instance : Add (LeftInvariantDerivation I G) where
add X Y :=
⟨X + Y, fun g => by
simp only [map_add, Derivation.coe_add, left_invariant', Pi.add_apply]⟩
instance : Neg (LeftInvariantDerivation I G) where
neg X := ⟨-X, fun g => by simp [left_invariant']⟩
instance : Sub (LeftInvariantDerivation I G) where
sub X Y := ⟨X - Y, fun g => by simp [left_invariant']⟩
@[simp]
theorem coe_add : ⇑(X + Y) = X + Y :=
rfl
#align left_invariant_derivation.coe_add LeftInvariantDerivation.coe_add
@[simp]
theorem coe_zero : ⇑(0 : LeftInvariantDerivation I G) = 0 :=
rfl
#align left_invariant_derivation.coe_zero LeftInvariantDerivation.coe_zero
@[simp]
theorem coe_neg : ⇑(-X) = -X :=
rfl
#align left_invariant_derivation.coe_neg LeftInvariantDerivation.coe_neg
@[simp]
theorem coe_sub : ⇑(X - Y) = X - Y :=
rfl
#align left_invariant_derivation.coe_sub LeftInvariantDerivation.coe_sub
@[simp, norm_cast]
theorem lift_add : (↑(X + Y) : Derivation 𝕜 C^∞⟮I, G; 𝕜⟯ C^∞⟮I, G; 𝕜⟯) = X + Y :=
rfl
#align left_invariant_derivation.lift_add LeftInvariantDerivation.lift_add
@[simp, norm_cast]
theorem lift_zero :
(↑(0 : LeftInvariantDerivation I G) : Derivation 𝕜 C^∞⟮I, G; 𝕜⟯ C^∞⟮I, G; 𝕜⟯) = 0 :=
rfl
#align left_invariant_derivation.lift_zero LeftInvariantDerivation.lift_zero
instance hasNatScalar : SMul ℕ (LeftInvariantDerivation I G) where
smul r X := ⟨r • X.1, fun g => by simp_rw [LinearMap.map_smul_of_tower _ r, left_invariant']⟩
#align left_invariant_derivation.has_nat_scalar LeftInvariantDerivation.hasNatScalar
instance hasIntScalar : SMul ℤ (LeftInvariantDerivation I G) where
smul r X := ⟨r • X.1, fun g => by simp_rw [LinearMap.map_smul_of_tower _ r, left_invariant']⟩
#align left_invariant_derivation.has_int_scalar LeftInvariantDerivation.hasIntScalar
instance : AddCommGroup (LeftInvariantDerivation I G) :=
coe_injective.addCommGroup _ coe_zero coe_add coe_neg coe_sub (fun _ _ => rfl) fun _ _ => rfl
instance : SMul 𝕜 (LeftInvariantDerivation I G) where
smul r X := ⟨r • X.1, fun g => by simp_rw [LinearMap.map_smul, left_invariant']⟩
variable (r)
@[simp]
theorem coe_smul : ⇑(r • X) = r • ⇑X :=
rfl
#align left_invariant_derivation.coe_smul LeftInvariantDerivation.coe_smul
@[simp]
theorem lift_smul (k : 𝕜) : (k • X).1 = k • X.1 :=
rfl
#align left_invariant_derivation.lift_smul LeftInvariantDerivation.lift_smul
variable (I G)
/-- The coercion to function is a monoid homomorphism. -/
@[simps]
def coeFnAddMonoidHom : LeftInvariantDerivation I G →+ C^∞⟮I, G; 𝕜⟯ → C^∞⟮I, G; 𝕜⟯ :=
⟨⟨DFunLike.coe, coe_zero⟩, coe_add⟩
#align left_invariant_derivation.coe_fn_add_monoid_hom LeftInvariantDerivation.coeFnAddMonoidHom
variable {I G}
instance : Module 𝕜 (LeftInvariantDerivation I G) :=
coe_injective.module _ (coeFnAddMonoidHom I G) coe_smul
/-- Evaluation at a point for left invariant derivation. Same thing as for generic global
derivations (`Derivation.evalAt`). -/
def evalAt : LeftInvariantDerivation I G →ₗ[𝕜] PointDerivation I g where
toFun X := Derivation.evalAt g X.1
map_add' _ _ := rfl
map_smul' _ _ := rfl
#align left_invariant_derivation.eval_at LeftInvariantDerivation.evalAt
theorem evalAt_apply : evalAt g X f = (X f) g :=
rfl
#align left_invariant_derivation.eval_at_apply LeftInvariantDerivation.evalAt_apply
@[simp]
theorem evalAt_coe : Derivation.evalAt g ↑X = evalAt g X :=
rfl
#align left_invariant_derivation.eval_at_coe LeftInvariantDerivation.evalAt_coe
theorem left_invariant : 𝒅ₕ (smoothLeftMul_one I g) (evalAt (1 : G) X) = evalAt g X :=
X.left_invariant'' g
#align left_invariant_derivation.left_invariant LeftInvariantDerivation.left_invariant
| Mathlib/Geometry/Manifold/Algebra/LeftInvariantDerivation.lean | 239 | 246 | theorem evalAt_mul : evalAt (g * h) X = 𝒅ₕ (L_apply I g h) (evalAt h X) := by |
ext f
rw [← left_invariant, apply_hfdifferential, apply_hfdifferential, L_mul, fdifferential_comp,
apply_fdifferential]
-- Porting note: more agressive here
erw [LinearMap.comp_apply]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [apply_fdifferential, ← apply_hfdifferential, left_invariant]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Yury Kudryashov
-/
import Mathlib.MeasureTheory.Constructions.BorelSpace.Order
#align_import measure_theory.constructions.borel_space.basic from "leanprover-community/mathlib"@"9f55d0d4363ae59948c33864cbc52e0b12e0e8ce"
/-!
# Borel (measurable) spaces ℝ, ℝ≥0, ℝ≥0∞
## Main statements
* `borel_eq_generateFrom_Ixx_rat` (where Ixx is one of {Ioo, Ioi, Iio, Ici, Iic):
the Borel sigma algebra on ℝ is generated by intervals with rational endpoints;
* `isPiSystem_Ixx_rat` (where Ixx is one of {Ioo, Ioi, Iio, Ici, Iic):
intervals with rational endpoints form a pi system on ℝ;
* `measurable_real_toNNReal`, `measurable_coe_nnreal_real`, `measurable_coe_nnreal_ennreal`,
`ENNReal.measurable_ofReal`, `ENNReal.measurable_toReal`:
measurability of various coercions between ℝ, ℝ≥0, and ℝ≥0∞;
* `Measurable.real_toNNReal`, `Measurable.coe_nnreal_real`, `Measurable.coe_nnreal_ennreal`,
`Measurable.ennreal_ofReal`, `Measurable.ennreal_toNNReal`, `Measurable.ennreal_toReal`:
measurability of functions composed with various coercions between ℝ, ℝ≥0, and ℝ≥0∞
(also similar results for a.e.-measurability);
* `Measurable.ennreal*` : measurability of special cases for arithmetic operations on `ℝ≥0∞`.
-/
open Set Filter MeasureTheory MeasurableSpace
open scoped Classical Topology NNReal ENNReal MeasureTheory
universe u v w x y
variable {α β γ δ : Type*} {ι : Sort y} {s t u : Set α}
namespace Real
theorem borel_eq_generateFrom_Ioo_rat :
borel ℝ = .generateFrom (⋃ (a : ℚ) (b : ℚ) (_ : a < b), {Ioo (a : ℝ) (b : ℝ)}) :=
isTopologicalBasis_Ioo_rat.borel_eq_generateFrom
#align real.borel_eq_generate_from_Ioo_rat Real.borel_eq_generateFrom_Ioo_rat
theorem borel_eq_generateFrom_Iio_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Iio (a : ℝ)}) := by
rw [borel_eq_generateFrom_Iio]
refine le_antisymm
(generateFrom_le ?_)
(generateFrom_mono <| iUnion_subset fun q ↦ singleton_subset_iff.mpr <| mem_range_self _)
rintro _ ⟨a, rfl⟩
have : IsLUB (range ((↑) : ℚ → ℝ) ∩ Iio a) a := by
simp [isLUB_iff_le_iff, mem_upperBounds, ← le_iff_forall_rat_lt_imp_le]
rw [← this.biUnion_Iio_eq, ← image_univ, ← image_inter_preimage, univ_inter, biUnion_image]
exact MeasurableSet.biUnion (to_countable _)
fun b _ => GenerateMeasurable.basic (Iio (b : ℝ)) (by simp)
theorem borel_eq_generateFrom_Ioi_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Ioi (a : ℝ)}) := by
rw [borel_eq_generateFrom_Ioi]
refine le_antisymm
(generateFrom_le ?_)
(generateFrom_mono <| iUnion_subset fun q ↦ singleton_subset_iff.mpr <| mem_range_self _)
rintro _ ⟨a, rfl⟩
have : IsGLB (range ((↑) : ℚ → ℝ) ∩ Ioi a) a := by
simp [isGLB_iff_le_iff, mem_lowerBounds, ← le_iff_forall_lt_rat_imp_le]
rw [← this.biUnion_Ioi_eq, ← image_univ, ← image_inter_preimage, univ_inter, biUnion_image]
exact MeasurableSet.biUnion (to_countable _)
fun b _ => GenerateMeasurable.basic (Ioi (b : ℝ)) (by simp)
theorem borel_eq_generateFrom_Iic_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Iic (a : ℝ)}) := by
rw [borel_eq_generateFrom_Ioi_rat, iUnion_singleton_eq_range, iUnion_singleton_eq_range]
refine le_antisymm (generateFrom_le ?_) (generateFrom_le ?_) <;>
rintro _ ⟨q, rfl⟩ <;>
dsimp only <;>
[rw [← compl_Iic]; rw [← compl_Ioi]] <;>
exact MeasurableSet.compl (GenerateMeasurable.basic _ (mem_range_self q))
theorem borel_eq_generateFrom_Ici_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Ici (a : ℝ)}) := by
rw [borel_eq_generateFrom_Iio_rat, iUnion_singleton_eq_range, iUnion_singleton_eq_range]
refine le_antisymm (generateFrom_le ?_) (generateFrom_le ?_) <;>
rintro _ ⟨q, rfl⟩ <;>
dsimp only <;>
[rw [← compl_Ici]; rw [← compl_Iio]] <;>
exact MeasurableSet.compl (GenerateMeasurable.basic _ (mem_range_self q))
theorem isPiSystem_Ioo_rat :
IsPiSystem (⋃ (a : ℚ) (b : ℚ) (_ : a < b), {Ioo (a : ℝ) (b : ℝ)}) := by
convert isPiSystem_Ioo ((↑) : ℚ → ℝ) ((↑) : ℚ → ℝ)
ext x
simp [eq_comm]
#align real.is_pi_system_Ioo_rat Real.isPiSystem_Ioo_rat
theorem isPiSystem_Iio_rat : IsPiSystem (⋃ a : ℚ, {Iio (a : ℝ)}) := by
convert isPiSystem_image_Iio (((↑) : ℚ → ℝ) '' univ)
ext x
simp only [iUnion_singleton_eq_range, mem_range, image_univ, mem_image, exists_exists_eq_and]
theorem isPiSystem_Ioi_rat : IsPiSystem (⋃ a : ℚ, {Ioi (a : ℝ)}) := by
convert isPiSystem_image_Ioi (((↑) : ℚ → ℝ) '' univ)
ext x
simp only [iUnion_singleton_eq_range, mem_range, image_univ, mem_image, exists_exists_eq_and]
theorem isPiSystem_Iic_rat : IsPiSystem (⋃ a : ℚ, {Iic (a : ℝ)}) := by
convert isPiSystem_image_Iic (((↑) : ℚ → ℝ) '' univ)
ext x
simp only [iUnion_singleton_eq_range, mem_range, image_univ, mem_image, exists_exists_eq_and]
theorem isPiSystem_Ici_rat : IsPiSystem (⋃ a : ℚ, {Ici (a : ℝ)}) := by
convert isPiSystem_image_Ici (((↑) : ℚ → ℝ) '' univ)
ext x
simp only [iUnion_singleton_eq_range, mem_range, image_univ, mem_image, exists_exists_eq_and]
/-- The intervals `(-(n + 1), (n + 1))` form a finite spanning sets in the set of open intervals
with rational endpoints for a locally finite measure `μ` on `ℝ`. -/
def finiteSpanningSetsInIooRat (μ : Measure ℝ) [IsLocallyFiniteMeasure μ] :
μ.FiniteSpanningSetsIn (⋃ (a : ℚ) (b : ℚ) (_ : a < b), {Ioo (a : ℝ) (b : ℝ)}) where
set n := Ioo (-(n + 1)) (n + 1)
set_mem n := by
simp only [mem_iUnion, mem_singleton_iff]
refine ⟨-(n + 1 : ℕ), n + 1, ?_, by simp⟩
-- TODO: norm_cast fails here?
push_cast
exact neg_lt_self n.cast_add_one_pos
finite n := measure_Ioo_lt_top
spanning :=
iUnion_eq_univ_iff.2 fun x =>
⟨⌊|x|⌋₊, neg_lt.1 ((neg_le_abs x).trans_lt (Nat.lt_floor_add_one _)),
(le_abs_self x).trans_lt (Nat.lt_floor_add_one _)⟩
#align real.finite_spanning_sets_in_Ioo_rat Real.finiteSpanningSetsInIooRat
theorem measure_ext_Ioo_rat {μ ν : Measure ℝ} [IsLocallyFiniteMeasure μ]
(h : ∀ a b : ℚ, μ (Ioo a b) = ν (Ioo a b)) : μ = ν :=
(finiteSpanningSetsInIooRat μ).ext borel_eq_generateFrom_Ioo_rat isPiSystem_Ioo_rat <| by
simp only [mem_iUnion, mem_singleton_iff]
rintro _ ⟨a, b, -, rfl⟩
apply h
#align real.measure_ext_Ioo_rat Real.measure_ext_Ioo_rat
end Real
variable [MeasurableSpace α]
@[measurability]
theorem measurable_real_toNNReal : Measurable Real.toNNReal :=
continuous_real_toNNReal.measurable
#align measurable_real_to_nnreal measurable_real_toNNReal
@[measurability]
theorem Measurable.real_toNNReal {f : α → ℝ} (hf : Measurable f) :
Measurable fun x => Real.toNNReal (f x) :=
measurable_real_toNNReal.comp hf
#align measurable.real_to_nnreal Measurable.real_toNNReal
@[measurability]
theorem AEMeasurable.real_toNNReal {f : α → ℝ} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x => Real.toNNReal (f x)) μ :=
measurable_real_toNNReal.comp_aemeasurable hf
#align ae_measurable.real_to_nnreal AEMeasurable.real_toNNReal
@[measurability]
theorem measurable_coe_nnreal_real : Measurable ((↑) : ℝ≥0 → ℝ) :=
NNReal.continuous_coe.measurable
#align measurable_coe_nnreal_real measurable_coe_nnreal_real
@[measurability]
theorem Measurable.coe_nnreal_real {f : α → ℝ≥0} (hf : Measurable f) :
Measurable fun x => (f x : ℝ) :=
measurable_coe_nnreal_real.comp hf
#align measurable.coe_nnreal_real Measurable.coe_nnreal_real
@[measurability]
theorem AEMeasurable.coe_nnreal_real {f : α → ℝ≥0} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x => (f x : ℝ)) μ :=
measurable_coe_nnreal_real.comp_aemeasurable hf
#align ae_measurable.coe_nnreal_real AEMeasurable.coe_nnreal_real
@[measurability]
theorem measurable_coe_nnreal_ennreal : Measurable ((↑) : ℝ≥0 → ℝ≥0∞) :=
ENNReal.continuous_coe.measurable
#align measurable_coe_nnreal_ennreal measurable_coe_nnreal_ennreal
@[measurability]
theorem Measurable.coe_nnreal_ennreal {f : α → ℝ≥0} (hf : Measurable f) :
Measurable fun x => (f x : ℝ≥0∞) :=
ENNReal.continuous_coe.measurable.comp hf
#align measurable.coe_nnreal_ennreal Measurable.coe_nnreal_ennreal
@[measurability]
theorem AEMeasurable.coe_nnreal_ennreal {f : α → ℝ≥0} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x => (f x : ℝ≥0∞)) μ :=
ENNReal.continuous_coe.measurable.comp_aemeasurable hf
#align ae_measurable.coe_nnreal_ennreal AEMeasurable.coe_nnreal_ennreal
@[measurability]
theorem Measurable.ennreal_ofReal {f : α → ℝ} (hf : Measurable f) :
Measurable fun x => ENNReal.ofReal (f x) :=
ENNReal.continuous_ofReal.measurable.comp hf
#align measurable.ennreal_of_real Measurable.ennreal_ofReal
@[measurability]
lemma AEMeasurable.ennreal_ofReal {f : α → ℝ} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x ↦ ENNReal.ofReal (f x)) μ :=
ENNReal.continuous_ofReal.measurable.comp_aemeasurable hf
@[simp, norm_cast]
theorem measurable_coe_nnreal_real_iff {f : α → ℝ≥0} :
Measurable (fun x => f x : α → ℝ) ↔ Measurable f :=
⟨fun h => by simpa only [Real.toNNReal_coe] using h.real_toNNReal, Measurable.coe_nnreal_real⟩
#align measurable_coe_nnreal_real_iff measurable_coe_nnreal_real_iff
@[simp, norm_cast]
theorem aemeasurable_coe_nnreal_real_iff {f : α → ℝ≥0} {μ : Measure α} :
AEMeasurable (fun x => f x : α → ℝ) μ ↔ AEMeasurable f μ :=
⟨fun h ↦ by simpa only [Real.toNNReal_coe] using h.real_toNNReal, AEMeasurable.coe_nnreal_real⟩
#align ae_measurable_coe_nnreal_real_iff aemeasurable_coe_nnreal_real_iff
@[deprecated (since := "2024-03-02")]
alias aEMeasurable_coe_nnreal_real_iff := aemeasurable_coe_nnreal_real_iff
/-- The set of finite `ℝ≥0∞` numbers is `MeasurableEquiv` to `ℝ≥0`. -/
def MeasurableEquiv.ennrealEquivNNReal : { r : ℝ≥0∞ | r ≠ ∞ } ≃ᵐ ℝ≥0 :=
ENNReal.neTopHomeomorphNNReal.toMeasurableEquiv
#align measurable_equiv.ennreal_equiv_nnreal MeasurableEquiv.ennrealEquivNNReal
namespace ENNReal
theorem measurable_of_measurable_nnreal {f : ℝ≥0∞ → α} (h : Measurable fun p : ℝ≥0 => f p) :
Measurable f :=
measurable_of_measurable_on_compl_singleton ∞
(MeasurableEquiv.ennrealEquivNNReal.symm.measurable_comp_iff.1 h)
#align ennreal.measurable_of_measurable_nnreal ENNReal.measurable_of_measurable_nnreal
/-- `ℝ≥0∞` is `MeasurableEquiv` to `ℝ≥0 ⊕ Unit`. -/
def ennrealEquivSum : ℝ≥0∞ ≃ᵐ Sum ℝ≥0 Unit :=
{ Equiv.optionEquivSumPUnit ℝ≥0 with
measurable_toFun := measurable_of_measurable_nnreal measurable_inl
measurable_invFun :=
measurable_sum measurable_coe_nnreal_ennreal (@measurable_const ℝ≥0∞ Unit _ _ ∞) }
#align ennreal.ennreal_equiv_sum ENNReal.ennrealEquivSum
open Function (uncurry)
theorem measurable_of_measurable_nnreal_prod [MeasurableSpace β] [MeasurableSpace γ]
{f : ℝ≥0∞ × β → γ} (H₁ : Measurable fun p : ℝ≥0 × β => f (p.1, p.2))
(H₂ : Measurable fun x => f (∞, x)) : Measurable f :=
let e : ℝ≥0∞ × β ≃ᵐ Sum (ℝ≥0 × β) (Unit × β) :=
(ennrealEquivSum.prodCongr (MeasurableEquiv.refl β)).trans
(MeasurableEquiv.sumProdDistrib _ _ _)
e.symm.measurable_comp_iff.1 <| measurable_sum H₁ (H₂.comp measurable_id.snd)
#align ennreal.measurable_of_measurable_nnreal_prod ENNReal.measurable_of_measurable_nnreal_prod
theorem measurable_of_measurable_nnreal_nnreal [MeasurableSpace β] {f : ℝ≥0∞ × ℝ≥0∞ → β}
(h₁ : Measurable fun p : ℝ≥0 × ℝ≥0 => f (p.1, p.2)) (h₂ : Measurable fun r : ℝ≥0 => f (∞, r))
(h₃ : Measurable fun r : ℝ≥0 => f (r, ∞)) : Measurable f :=
measurable_of_measurable_nnreal_prod
(measurable_swap_iff.1 <| measurable_of_measurable_nnreal_prod (h₁.comp measurable_swap) h₃)
(measurable_of_measurable_nnreal h₂)
#align ennreal.measurable_of_measurable_nnreal_nnreal ENNReal.measurable_of_measurable_nnreal_nnreal
@[measurability]
theorem measurable_ofReal : Measurable ENNReal.ofReal :=
ENNReal.continuous_ofReal.measurable
#align ennreal.measurable_of_real ENNReal.measurable_ofReal
@[measurability]
theorem measurable_toReal : Measurable ENNReal.toReal :=
ENNReal.measurable_of_measurable_nnreal measurable_coe_nnreal_real
#align ennreal.measurable_to_real ENNReal.measurable_toReal
@[measurability]
theorem measurable_toNNReal : Measurable ENNReal.toNNReal :=
ENNReal.measurable_of_measurable_nnreal measurable_id
#align ennreal.measurable_to_nnreal ENNReal.measurable_toNNReal
instance instMeasurableMul₂ : MeasurableMul₂ ℝ≥0∞ := by
refine ⟨measurable_of_measurable_nnreal_nnreal ?_ ?_ ?_⟩
· simp only [← ENNReal.coe_mul, measurable_mul.coe_nnreal_ennreal]
· simp only [ENNReal.top_mul', ENNReal.coe_eq_zero]
exact measurable_const.piecewise (measurableSet_singleton _) measurable_const
· simp only [ENNReal.mul_top', ENNReal.coe_eq_zero]
exact measurable_const.piecewise (measurableSet_singleton _) measurable_const
#align ennreal.has_measurable_mul₂ ENNReal.instMeasurableMul₂
instance instMeasurableSub₂ : MeasurableSub₂ ℝ≥0∞ :=
⟨by
apply measurable_of_measurable_nnreal_nnreal <;>
simp [← WithTop.coe_sub]; exact continuous_sub.measurable.coe_nnreal_ennreal⟩
#align ennreal.has_measurable_sub₂ ENNReal.instMeasurableSub₂
instance instMeasurableInv : MeasurableInv ℝ≥0∞ :=
⟨continuous_inv.measurable⟩
#align ennreal.has_measurable_inv ENNReal.instMeasurableInv
instance : MeasurableSMul ℝ≥0 ℝ≥0∞ where
measurable_const_smul := by
simp_rw [ENNReal.smul_def]
exact fun _ ↦ MeasurableSMul.measurable_const_smul _
measurable_smul_const := fun x ↦ by
simp_rw [ENNReal.smul_def]
exact measurable_coe_nnreal_ennreal.mul_const _
/-- A limit (over a general filter) of measurable `ℝ≥0∞` valued functions is measurable. -/
theorem measurable_of_tendsto' {ι : Type*} {f : ι → α → ℝ≥0∞} {g : α → ℝ≥0∞} (u : Filter ι)
[NeBot u] [IsCountablyGenerated u] (hf : ∀ i, Measurable (f i)) (lim : Tendsto f u (𝓝 g)) :
Measurable g := by
rcases u.exists_seq_tendsto with ⟨x, hx⟩
rw [tendsto_pi_nhds] at lim
have : (fun y => liminf (fun n => (f (x n) y : ℝ≥0∞)) atTop) = g := by
ext1 y
exact ((lim y).comp hx).liminf_eq
rw [← this]
show Measurable fun y => liminf (fun n => (f (x n) y : ℝ≥0∞)) atTop
exact measurable_liminf fun n => hf (x n)
#align measurable_of_tendsto_ennreal' ENNReal.measurable_of_tendsto'
@[deprecated (since := "2024-03-09")] alias
_root_.measurable_of_tendsto_ennreal' := ENNReal.measurable_of_tendsto'
/-- A sequential limit of measurable `ℝ≥0∞` valued functions is measurable. -/
theorem measurable_of_tendsto {f : ℕ → α → ℝ≥0∞} {g : α → ℝ≥0∞} (hf : ∀ i, Measurable (f i))
(lim : Tendsto f atTop (𝓝 g)) : Measurable g :=
measurable_of_tendsto' atTop hf lim
#align measurable_of_tendsto_ennreal ENNReal.measurable_of_tendsto
@[deprecated (since := "2024-03-09")] alias
_root_.measurable_of_tendsto_ennreal := ENNReal.measurable_of_tendsto
/-- A limit (over a general filter) of a.e.-measurable `ℝ≥0∞` valued functions is
a.e.-measurable. -/
lemma aemeasurable_of_tendsto' {ι : Type*} {f : ι → α → ℝ≥0∞} {g : α → ℝ≥0∞}
{μ : Measure α} (u : Filter ι) [NeBot u] [IsCountablyGenerated u]
(hf : ∀ i, AEMeasurable (f i) μ) (hlim : ∀ᵐ a ∂μ, Tendsto (fun i ↦ f i a) u (𝓝 (g a))) :
AEMeasurable g μ := by
rcases u.exists_seq_tendsto with ⟨v, hv⟩
have h'f : ∀ n, AEMeasurable (f (v n)) μ := fun n ↦ hf (v n)
set p : α → (ℕ → ℝ≥0∞) → Prop := fun x f' ↦ Tendsto f' atTop (𝓝 (g x))
have hp : ∀ᵐ x ∂μ, p x fun n ↦ f (v n) x := by
filter_upwards [hlim] with x hx using hx.comp hv
set aeSeqLim := fun x ↦ ite (x ∈ aeSeqSet h'f p) (g x) (⟨f (v 0) x⟩ : Nonempty ℝ≥0∞).some
refine ⟨aeSeqLim, measurable_of_tendsto' atTop (aeSeq.measurable h'f p)
(tendsto_pi_nhds.mpr fun x ↦ ?_), ?_⟩
· unfold_let aeSeqLim
simp_rw [aeSeq]
split_ifs with hx
· simp_rw [aeSeq.mk_eq_fun_of_mem_aeSeqSet h'f hx]
exact aeSeq.fun_prop_of_mem_aeSeqSet h'f hx
· exact tendsto_const_nhds
· exact (ite_ae_eq_of_measure_compl_zero g (fun x ↦ (⟨f (v 0) x⟩ : Nonempty ℝ≥0∞).some)
(aeSeqSet h'f p) (aeSeq.measure_compl_aeSeqSet_eq_zero h'f hp)).symm
/-- A limit of a.e.-measurable `ℝ≥0∞` valued functions is a.e.-measurable. -/
lemma aemeasurable_of_tendsto {f : ℕ → α → ℝ≥0∞} {g : α → ℝ≥0∞} {μ : Measure α}
(hf : ∀ i, AEMeasurable (f i) μ) (hlim : ∀ᵐ a ∂μ, Tendsto (fun i ↦ f i a) atTop (𝓝 (g a))) :
AEMeasurable g μ :=
aemeasurable_of_tendsto' atTop hf hlim
end ENNReal
@[measurability]
theorem Measurable.ennreal_toNNReal {f : α → ℝ≥0∞} (hf : Measurable f) :
Measurable fun x => (f x).toNNReal :=
ENNReal.measurable_toNNReal.comp hf
#align measurable.ennreal_to_nnreal Measurable.ennreal_toNNReal
@[measurability]
theorem AEMeasurable.ennreal_toNNReal {f : α → ℝ≥0∞} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x => (f x).toNNReal) μ :=
ENNReal.measurable_toNNReal.comp_aemeasurable hf
#align ae_measurable.ennreal_to_nnreal AEMeasurable.ennreal_toNNReal
@[simp, norm_cast]
theorem measurable_coe_nnreal_ennreal_iff {f : α → ℝ≥0} :
(Measurable fun x => (f x : ℝ≥0∞)) ↔ Measurable f :=
⟨fun h => h.ennreal_toNNReal, fun h => h.coe_nnreal_ennreal⟩
#align measurable_coe_nnreal_ennreal_iff measurable_coe_nnreal_ennreal_iff
@[simp, norm_cast]
theorem aemeasurable_coe_nnreal_ennreal_iff {f : α → ℝ≥0} {μ : Measure α} :
AEMeasurable (fun x => (f x : ℝ≥0∞)) μ ↔ AEMeasurable f μ :=
⟨fun h => h.ennreal_toNNReal, fun h => h.coe_nnreal_ennreal⟩
#align ae_measurable_coe_nnreal_ennreal_iff aemeasurable_coe_nnreal_ennreal_iff
@[measurability]
theorem Measurable.ennreal_toReal {f : α → ℝ≥0∞} (hf : Measurable f) :
Measurable fun x => ENNReal.toReal (f x) :=
ENNReal.measurable_toReal.comp hf
#align measurable.ennreal_to_real Measurable.ennreal_toReal
@[measurability]
theorem AEMeasurable.ennreal_toReal {f : α → ℝ≥0∞} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x => ENNReal.toReal (f x)) μ :=
ENNReal.measurable_toReal.comp_aemeasurable hf
#align ae_measurable.ennreal_to_real AEMeasurable.ennreal_toReal
/-- note: `ℝ≥0∞` can probably be generalized in a future version of this lemma. -/
@[measurability]
theorem Measurable.ennreal_tsum {ι} [Countable ι] {f : ι → α → ℝ≥0∞} (h : ∀ i, Measurable (f i)) :
Measurable fun x => ∑' i, f i x := by
simp_rw [ENNReal.tsum_eq_iSup_sum]
apply measurable_iSup
exact fun s => s.measurable_sum fun i _ => h i
#align measurable.ennreal_tsum Measurable.ennreal_tsum
@[measurability]
theorem Measurable.ennreal_tsum' {ι} [Countable ι] {f : ι → α → ℝ≥0∞} (h : ∀ i, Measurable (f i)) :
Measurable (∑' i, f i) := by
convert Measurable.ennreal_tsum h with x
exact tsum_apply (Pi.summable.2 fun _ => ENNReal.summable)
#align measurable.ennreal_tsum' Measurable.ennreal_tsum'
@[measurability]
theorem Measurable.nnreal_tsum {ι} [Countable ι] {f : ι → α → ℝ≥0} (h : ∀ i, Measurable (f i)) :
Measurable fun x => ∑' i, f i x := by
simp_rw [NNReal.tsum_eq_toNNReal_tsum]
exact (Measurable.ennreal_tsum fun i => (h i).coe_nnreal_ennreal).ennreal_toNNReal
#align measurable.nnreal_tsum Measurable.nnreal_tsum
@[measurability]
theorem AEMeasurable.ennreal_tsum {ι} [Countable ι] {f : ι → α → ℝ≥0∞} {μ : Measure α}
(h : ∀ i, AEMeasurable (f i) μ) : AEMeasurable (fun x => ∑' i, f i x) μ := by
simp_rw [ENNReal.tsum_eq_iSup_sum]
apply aemeasurable_iSup
exact fun s => Finset.aemeasurable_sum s fun i _ => h i
#align ae_measurable.ennreal_tsum AEMeasurable.ennreal_tsum
@[measurability]
theorem AEMeasurable.nnreal_tsum {α : Type*} [MeasurableSpace α] {ι : Type*} [Countable ι]
{f : ι → α → NNReal} {μ : MeasureTheory.Measure α} (h : ∀ i : ι, AEMeasurable (f i) μ) :
AEMeasurable (fun x : α => ∑' i : ι, f i x) μ := by
simp_rw [NNReal.tsum_eq_toNNReal_tsum]
exact (AEMeasurable.ennreal_tsum fun i => (h i).coe_nnreal_ennreal).ennreal_toNNReal
#align ae_measurable.nnreal_tsum AEMeasurable.nnreal_tsum
@[measurability]
theorem measurable_coe_real_ereal : Measurable ((↑) : ℝ → EReal) :=
continuous_coe_real_ereal.measurable
#align measurable_coe_real_ereal measurable_coe_real_ereal
@[measurability]
theorem Measurable.coe_real_ereal {f : α → ℝ} (hf : Measurable f) :
Measurable fun x => (f x : EReal) :=
measurable_coe_real_ereal.comp hf
#align measurable.coe_real_ereal Measurable.coe_real_ereal
@[measurability]
theorem AEMeasurable.coe_real_ereal {f : α → ℝ} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x => (f x : EReal)) μ :=
measurable_coe_real_ereal.comp_aemeasurable hf
#align ae_measurable.coe_real_ereal AEMeasurable.coe_real_ereal
/-- The set of finite `EReal` numbers is `MeasurableEquiv` to `ℝ`. -/
def MeasurableEquiv.erealEquivReal : ({⊥, ⊤}ᶜ : Set EReal) ≃ᵐ ℝ :=
EReal.neBotTopHomeomorphReal.toMeasurableEquiv
#align measurable_equiv.ereal_equiv_real MeasurableEquiv.erealEquivReal
theorem EReal.measurable_of_measurable_real {f : EReal → α} (h : Measurable fun p : ℝ => f p) :
Measurable f :=
measurable_of_measurable_on_compl_finite {⊥, ⊤} (by simp)
(MeasurableEquiv.erealEquivReal.symm.measurable_comp_iff.1 h)
#align ereal.measurable_of_measurable_real EReal.measurable_of_measurable_real
@[measurability]
theorem measurable_ereal_toReal : Measurable EReal.toReal :=
EReal.measurable_of_measurable_real (by simpa using measurable_id)
#align measurable_ereal_to_real measurable_ereal_toReal
@[measurability]
theorem Measurable.ereal_toReal {f : α → EReal} (hf : Measurable f) :
Measurable fun x => (f x).toReal :=
measurable_ereal_toReal.comp hf
#align measurable.ereal_to_real Measurable.ereal_toReal
@[measurability]
theorem AEMeasurable.ereal_toReal {f : α → EReal} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x => (f x).toReal) μ :=
measurable_ereal_toReal.comp_aemeasurable hf
#align ae_measurable.ereal_to_real AEMeasurable.ereal_toReal
@[measurability]
theorem measurable_coe_ennreal_ereal : Measurable ((↑) : ℝ≥0∞ → EReal) :=
continuous_coe_ennreal_ereal.measurable
#align measurable_coe_ennreal_ereal measurable_coe_ennreal_ereal
@[measurability]
theorem Measurable.coe_ereal_ennreal {f : α → ℝ≥0∞} (hf : Measurable f) :
Measurable fun x => (f x : EReal) :=
measurable_coe_ennreal_ereal.comp hf
#align measurable.coe_ereal_ennreal Measurable.coe_ereal_ennreal
@[measurability]
theorem AEMeasurable.coe_ereal_ennreal {f : α → ℝ≥0∞} {μ : Measure α} (hf : AEMeasurable f μ) :
AEMeasurable (fun x => (f x : EReal)) μ :=
measurable_coe_ennreal_ereal.comp_aemeasurable hf
#align ae_measurable.coe_ereal_ennreal AEMeasurable.coe_ereal_ennreal
namespace NNReal
/-- A limit (over a general filter) of measurable `ℝ≥0` valued functions is measurable. -/
| Mathlib/MeasureTheory/Constructions/BorelSpace/Real.lean | 497 | 503 | theorem measurable_of_tendsto' {ι} {f : ι → α → ℝ≥0} {g : α → ℝ≥0} (u : Filter ι) [NeBot u]
[IsCountablyGenerated u] (hf : ∀ i, Measurable (f i)) (lim : Tendsto f u (𝓝 g)) :
Measurable g := by |
simp_rw [← measurable_coe_nnreal_ennreal_iff] at hf ⊢
refine ENNReal.measurable_of_tendsto' u hf ?_
rw [tendsto_pi_nhds] at lim ⊢
exact fun x => (ENNReal.continuous_coe.tendsto (g x)).comp (lim x)
|
/-
Copyright (c) 2022 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Analysis.Calculus.SmoothSeries
import Mathlib.Analysis.Calculus.BumpFunction.InnerProduct
import Mathlib.Analysis.Convolution
import Mathlib.Analysis.InnerProductSpace.EuclideanDist
import Mathlib.Data.Set.Pointwise.Support
import Mathlib.MeasureTheory.Measure.Haar.NormedSpace
import Mathlib.MeasureTheory.Measure.Haar.Unique
#align_import analysis.calculus.bump_function_findim from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
/-!
# Bump functions in finite-dimensional vector spaces
Let `E` be a finite-dimensional real normed vector space. We show that any open set `s` in `E` is
exactly the support of a smooth function taking values in `[0, 1]`,
in `IsOpen.exists_smooth_support_eq`.
Then we use this construction to construct bump functions with nice behavior, by convolving
the indicator function of `closedBall 0 1` with a function as above with `s = ball 0 D`.
-/
noncomputable section
open Set Metric TopologicalSpace Function Asymptotics MeasureTheory FiniteDimensional
ContinuousLinearMap Filter MeasureTheory.Measure Bornology
open scoped Pointwise Topology NNReal Convolution
variable {E : Type*} [NormedAddCommGroup E]
section
variable [NormedSpace ℝ E] [FiniteDimensional ℝ E]
/-- If a set `s` is a neighborhood of `x`, then there exists a smooth function `f` taking
values in `[0, 1]`, supported in `s` and with `f x = 1`. -/
theorem exists_smooth_tsupport_subset {s : Set E} {x : E} (hs : s ∈ 𝓝 x) :
∃ f : E → ℝ,
tsupport f ⊆ s ∧ HasCompactSupport f ∧ ContDiff ℝ ⊤ f ∧ range f ⊆ Icc 0 1 ∧ f x = 1 := by
obtain ⟨d : ℝ, d_pos : 0 < d, hd : Euclidean.closedBall x d ⊆ s⟩ :=
Euclidean.nhds_basis_closedBall.mem_iff.1 hs
let c : ContDiffBump (toEuclidean x) :=
{ rIn := d / 2
rOut := d
rIn_pos := half_pos d_pos
rIn_lt_rOut := half_lt_self d_pos }
let f : E → ℝ := c ∘ toEuclidean
have f_supp : f.support ⊆ Euclidean.ball x d := by
intro y hy
have : toEuclidean y ∈ Function.support c := by
simpa only [Function.mem_support, Function.comp_apply, Ne] using hy
rwa [c.support_eq] at this
have f_tsupp : tsupport f ⊆ Euclidean.closedBall x d := by
rw [tsupport, ← Euclidean.closure_ball _ d_pos.ne']
exact closure_mono f_supp
refine ⟨f, f_tsupp.trans hd, ?_, ?_, ?_, ?_⟩
· refine isCompact_of_isClosed_isBounded isClosed_closure ?_
have : IsBounded (Euclidean.closedBall x d) := Euclidean.isCompact_closedBall.isBounded
refine this.subset (Euclidean.isClosed_closedBall.closure_subset_iff.2 ?_)
exact f_supp.trans Euclidean.ball_subset_closedBall
· apply c.contDiff.comp
exact ContinuousLinearEquiv.contDiff _
· rintro t ⟨y, rfl⟩
exact ⟨c.nonneg, c.le_one⟩
· apply c.one_of_mem_closedBall
apply mem_closedBall_self
exact (half_pos d_pos).le
#align exists_smooth_tsupport_subset exists_smooth_tsupport_subset
/-- Given an open set `s` in a finite-dimensional real normed vector space, there exists a smooth
function with values in `[0, 1]` whose support is exactly `s`. -/
theorem IsOpen.exists_smooth_support_eq {s : Set E} (hs : IsOpen s) :
∃ f : E → ℝ, f.support = s ∧ ContDiff ℝ ⊤ f ∧ Set.range f ⊆ Set.Icc 0 1 := by
/- For any given point `x` in `s`, one can construct a smooth function with support in `s` and
nonzero at `x`. By second-countability, it follows that we may cover `s` with the supports of
countably many such functions, say `g i`.
Then `∑ i, r i • g i` will be the desired function if `r i` is a sequence of positive numbers
tending quickly enough to zero. Indeed, this ensures that, for any `k ≤ i`, the `k`-th
derivative of `r i • g i` is bounded by a prescribed (summable) sequence `u i`. From this, the
summability of the series and of its successive derivatives follows. -/
rcases eq_empty_or_nonempty s with (rfl | h's)
· exact
⟨fun _ => 0, Function.support_zero, contDiff_const, by
simp only [range_const, singleton_subset_iff, left_mem_Icc, zero_le_one]⟩
let ι := { f : E → ℝ // f.support ⊆ s ∧ HasCompactSupport f ∧ ContDiff ℝ ⊤ f ∧ range f ⊆ Icc 0 1 }
obtain ⟨T, T_count, hT⟩ : ∃ T : Set ι, T.Countable ∧ ⋃ f ∈ T, support (f : E → ℝ) = s := by
have : ⋃ f : ι, (f : E → ℝ).support = s := by
refine Subset.antisymm (iUnion_subset fun f => f.2.1) ?_
intro x hx
rcases exists_smooth_tsupport_subset (hs.mem_nhds hx) with ⟨f, hf⟩
let g : ι := ⟨f, (subset_tsupport f).trans hf.1, hf.2.1, hf.2.2.1, hf.2.2.2.1⟩
have : x ∈ support (g : E → ℝ) := by
simp only [hf.2.2.2.2, Subtype.coe_mk, mem_support, Ne, one_ne_zero, not_false_iff]
exact mem_iUnion_of_mem _ this
simp_rw [← this]
apply isOpen_iUnion_countable
rintro ⟨f, hf⟩
exact hf.2.2.1.continuous.isOpen_support
obtain ⟨g0, hg⟩ : ∃ g0 : ℕ → ι, T = range g0 := by
apply Countable.exists_eq_range T_count
rcases eq_empty_or_nonempty T with (rfl | hT)
· simp only [ι, iUnion_false, iUnion_empty] at hT
simp only [← hT, mem_empty_iff_false, iUnion_of_empty, iUnion_empty, Set.not_nonempty_empty]
at h's
· exact hT
let g : ℕ → E → ℝ := fun n => (g0 n).1
have g_s : ∀ n, support (g n) ⊆ s := fun n => (g0 n).2.1
have s_g : ∀ x ∈ s, ∃ n, x ∈ support (g n) := fun x hx ↦ by
rw [← hT] at hx
obtain ⟨i, iT, hi⟩ : ∃ i ∈ T, x ∈ support (i : E → ℝ) := by
simpa only [mem_iUnion, exists_prop] using hx
rw [hg, mem_range] at iT
rcases iT with ⟨n, hn⟩
rw [← hn] at hi
exact ⟨n, hi⟩
have g_smooth : ∀ n, ContDiff ℝ ⊤ (g n) := fun n => (g0 n).2.2.2.1
have g_comp_supp : ∀ n, HasCompactSupport (g n) := fun n => (g0 n).2.2.1
have g_nonneg : ∀ n x, 0 ≤ g n x := fun n x => ((g0 n).2.2.2.2 (mem_range_self x)).1
obtain ⟨δ, δpos, c, δc, c_lt⟩ :
∃ δ : ℕ → ℝ≥0, (∀ i : ℕ, 0 < δ i) ∧ ∃ c : NNReal, HasSum δ c ∧ c < 1 :=
NNReal.exists_pos_sum_of_countable one_ne_zero ℕ
have : ∀ n : ℕ, ∃ r : ℝ, 0 < r ∧ ∀ i ≤ n, ∀ x, ‖iteratedFDeriv ℝ i (r • g n) x‖ ≤ δ n := by
intro n
have : ∀ i, ∃ R, ∀ x, ‖iteratedFDeriv ℝ i (fun x => g n x) x‖ ≤ R := by
intro i
have : BddAbove (range fun x => ‖iteratedFDeriv ℝ i (fun x : E => g n x) x‖) := by
apply
((g_smooth n).continuous_iteratedFDeriv le_top).norm.bddAbove_range_of_hasCompactSupport
apply HasCompactSupport.comp_left _ norm_zero
apply (g_comp_supp n).iteratedFDeriv
rcases this with ⟨R, hR⟩
exact ⟨R, fun x => hR (mem_range_self _)⟩
choose R hR using this
let M := max (((Finset.range (n + 1)).image R).max' (by simp)) 1
have δnpos : 0 < δ n := δpos n
have IR : ∀ i ≤ n, R i ≤ M := by
intro i hi
refine le_trans ?_ (le_max_left _ _)
apply Finset.le_max'
apply Finset.mem_image_of_mem
-- Porting note: was
-- simp only [Finset.mem_range]
-- linarith
simpa only [Finset.mem_range, Nat.lt_add_one_iff]
refine ⟨M⁻¹ * δ n, by positivity, fun i hi x => ?_⟩
calc
‖iteratedFDeriv ℝ i ((M⁻¹ * δ n) • g n) x‖ = ‖(M⁻¹ * δ n) • iteratedFDeriv ℝ i (g n) x‖ := by
rw [iteratedFDeriv_const_smul_apply]; exact (g_smooth n).of_le le_top
_ = M⁻¹ * δ n * ‖iteratedFDeriv ℝ i (g n) x‖ := by
rw [norm_smul _ (iteratedFDeriv ℝ i (g n) x), Real.norm_of_nonneg]; positivity
_ ≤ M⁻¹ * δ n * M := (mul_le_mul_of_nonneg_left ((hR i x).trans (IR i hi)) (by positivity))
_ = δ n := by field_simp
choose r rpos hr using this
have S : ∀ x, Summable fun n => (r n • g n) x := fun x ↦ by
refine .of_nnnorm_bounded _ δc.summable fun n => ?_
rw [← NNReal.coe_le_coe, coe_nnnorm]
simpa only [norm_iteratedFDeriv_zero] using hr n 0 (zero_le n) x
refine ⟨fun x => ∑' n, (r n • g n) x, ?_, ?_, ?_⟩
· apply Subset.antisymm
· intro x hx
simp only [Pi.smul_apply, Algebra.id.smul_eq_mul, mem_support, Ne] at hx
contrapose! hx
have : ∀ n, g n x = 0 := by
intro n
contrapose! hx
exact g_s n hx
simp only [this, mul_zero, tsum_zero]
· intro x hx
obtain ⟨n, hn⟩ : ∃ n, x ∈ support (g n) := s_g x hx
have I : 0 < r n * g n x := mul_pos (rpos n) (lt_of_le_of_ne (g_nonneg n x) (Ne.symm hn))
exact ne_of_gt (tsum_pos (S x) (fun i => mul_nonneg (rpos i).le (g_nonneg i x)) n I)
· refine
contDiff_tsum_of_eventually (fun n => (g_smooth n).const_smul (r n))
(fun k _ => (NNReal.hasSum_coe.2 δc).summable) ?_
intro i _
simp only [Nat.cofinite_eq_atTop, Pi.smul_apply, Algebra.id.smul_eq_mul,
Filter.eventually_atTop, ge_iff_le]
exact ⟨i, fun n hn x => hr _ _ hn _⟩
· rintro - ⟨y, rfl⟩
refine ⟨tsum_nonneg fun n => mul_nonneg (rpos n).le (g_nonneg n y), le_trans ?_ c_lt.le⟩
have A : HasSum (fun n => (δ n : ℝ)) c := NNReal.hasSum_coe.2 δc
simp only [Pi.smul_apply, smul_eq_mul, NNReal.val_eq_coe, ← A.tsum_eq, ge_iff_le]
apply tsum_le_tsum _ (S y) A.summable
intro n
apply (le_abs_self _).trans
simpa only [norm_iteratedFDeriv_zero] using hr n 0 (zero_le n) y
#align is_open.exists_smooth_support_eq IsOpen.exists_smooth_support_eq
end
section
namespace ExistsContDiffBumpBase
/-- An auxiliary function to construct partitions of unity on finite-dimensional real vector spaces.
It is the characteristic function of the closed unit ball. -/
def φ : E → ℝ :=
(closedBall (0 : E) 1).indicator fun _ => (1 : ℝ)
#align exists_cont_diff_bump_base.φ ExistsContDiffBumpBase.φ
variable [NormedSpace ℝ E] [FiniteDimensional ℝ E]
section HelperDefinitions
variable (E)
theorem u_exists :
∃ u : E → ℝ,
ContDiff ℝ ⊤ u ∧ (∀ x, u x ∈ Icc (0 : ℝ) 1) ∧ support u = ball 0 1 ∧ ∀ x, u (-x) = u x := by
have A : IsOpen (ball (0 : E) 1) := isOpen_ball
obtain ⟨f, f_support, f_smooth, f_range⟩ :
∃ f : E → ℝ, f.support = ball (0 : E) 1 ∧ ContDiff ℝ ⊤ f ∧ Set.range f ⊆ Set.Icc 0 1 :=
A.exists_smooth_support_eq
have B : ∀ x, f x ∈ Icc (0 : ℝ) 1 := fun x => f_range (mem_range_self x)
refine ⟨fun x => (f x + f (-x)) / 2, ?_, ?_, ?_, ?_⟩
· exact (f_smooth.add (f_smooth.comp contDiff_neg)).div_const _
· intro x
simp only [mem_Icc]
constructor
· linarith [(B x).1, (B (-x)).1]
· linarith [(B x).2, (B (-x)).2]
· refine support_eq_iff.2 ⟨fun x hx => ?_, fun x hx => ?_⟩
· apply ne_of_gt
have : 0 < f x := by
apply lt_of_le_of_ne (B x).1 (Ne.symm _)
rwa [← f_support] at hx
linarith [(B (-x)).1]
· have I1 : x ∉ support f := by rwa [f_support]
have I2 : -x ∉ support f := by
rw [f_support]
simpa using hx
simp only [mem_support, Classical.not_not] at I1 I2
simp only [I1, I2, add_zero, zero_div]
· intro x; simp only [add_comm, neg_neg]
#align exists_cont_diff_bump_base.u_exists ExistsContDiffBumpBase.u_exists
variable {E}
/-- An auxiliary function to construct partitions of unity on finite-dimensional real vector spaces,
which is smooth, symmetric, and with support equal to the unit ball. -/
def u (x : E) : ℝ :=
Classical.choose (u_exists E) x
#align exists_cont_diff_bump_base.u ExistsContDiffBumpBase.u
variable (E)
theorem u_smooth : ContDiff ℝ ⊤ (u : E → ℝ) :=
(Classical.choose_spec (u_exists E)).1
#align exists_cont_diff_bump_base.u_smooth ExistsContDiffBumpBase.u_smooth
theorem u_continuous : Continuous (u : E → ℝ) :=
(u_smooth E).continuous
#align exists_cont_diff_bump_base.u_continuous ExistsContDiffBumpBase.u_continuous
theorem u_support : support (u : E → ℝ) = ball 0 1 :=
(Classical.choose_spec (u_exists E)).2.2.1
#align exists_cont_diff_bump_base.u_support ExistsContDiffBumpBase.u_support
theorem u_compact_support : HasCompactSupport (u : E → ℝ) := by
rw [hasCompactSupport_def, u_support, closure_ball (0 : E) one_ne_zero]
exact isCompact_closedBall _ _
#align exists_cont_diff_bump_base.u_compact_support ExistsContDiffBumpBase.u_compact_support
variable {E}
theorem u_nonneg (x : E) : 0 ≤ u x :=
((Classical.choose_spec (u_exists E)).2.1 x).1
#align exists_cont_diff_bump_base.u_nonneg ExistsContDiffBumpBase.u_nonneg
theorem u_le_one (x : E) : u x ≤ 1 :=
((Classical.choose_spec (u_exists E)).2.1 x).2
#align exists_cont_diff_bump_base.u_le_one ExistsContDiffBumpBase.u_le_one
theorem u_neg (x : E) : u (-x) = u x :=
(Classical.choose_spec (u_exists E)).2.2.2 x
#align exists_cont_diff_bump_base.u_neg ExistsContDiffBumpBase.u_neg
variable [MeasurableSpace E] [BorelSpace E]
local notation "μ" => MeasureTheory.Measure.addHaar
variable (E)
theorem u_int_pos : 0 < ∫ x : E, u x ∂μ := by
refine (integral_pos_iff_support_of_nonneg u_nonneg ?_).mpr ?_
· exact (u_continuous E).integrable_of_hasCompactSupport (u_compact_support E)
· rw [u_support]; exact measure_ball_pos _ _ zero_lt_one
#align exists_cont_diff_bump_base.u_int_pos ExistsContDiffBumpBase.u_int_pos
variable {E}
-- Porting note: `W` upper case
set_option linter.uppercaseLean3 false
/-- An auxiliary function to construct partitions of unity on finite-dimensional real vector spaces,
which is smooth, symmetric, with support equal to the ball of radius `D` and integral `1`. -/
def w (D : ℝ) (x : E) : ℝ :=
((∫ x : E, u x ∂μ) * |D| ^ finrank ℝ E)⁻¹ • u (D⁻¹ • x)
#align exists_cont_diff_bump_base.W ExistsContDiffBumpBase.w
theorem w_def (D : ℝ) :
(w D : E → ℝ) = fun x => ((∫ x : E, u x ∂μ) * |D| ^ finrank ℝ E)⁻¹ • u (D⁻¹ • x) := by
ext1 x; rfl
#align exists_cont_diff_bump_base.W_def ExistsContDiffBumpBase.w_def
theorem w_nonneg (D : ℝ) (x : E) : 0 ≤ w D x := by
apply mul_nonneg _ (u_nonneg _)
apply inv_nonneg.2
apply mul_nonneg (u_int_pos E).le
norm_cast
apply pow_nonneg (abs_nonneg D)
#align exists_cont_diff_bump_base.W_nonneg ExistsContDiffBumpBase.w_nonneg
theorem w_mul_φ_nonneg (D : ℝ) (x y : E) : 0 ≤ w D y * φ (x - y) :=
mul_nonneg (w_nonneg D y) (indicator_nonneg (by simp only [zero_le_one, imp_true_iff]) _)
#align exists_cont_diff_bump_base.W_mul_φ_nonneg ExistsContDiffBumpBase.w_mul_φ_nonneg
variable (E)
theorem w_integral {D : ℝ} (Dpos : 0 < D) : ∫ x : E, w D x ∂μ = 1 := by
simp_rw [w, integral_smul]
rw [integral_comp_inv_smul_of_nonneg μ (u : E → ℝ) Dpos.le, abs_of_nonneg Dpos.le, mul_comm]
field_simp [(u_int_pos E).ne']
#align exists_cont_diff_bump_base.W_integral ExistsContDiffBumpBase.w_integral
theorem w_support {D : ℝ} (Dpos : 0 < D) : support (w D : E → ℝ) = ball 0 D := by
have B : D • ball (0 : E) 1 = ball 0 D := by
rw [smul_unitBall Dpos.ne', Real.norm_of_nonneg Dpos.le]
have C : D ^ finrank ℝ E ≠ 0 := by
norm_cast
exact pow_ne_zero _ Dpos.ne'
simp only [w_def, Algebra.id.smul_eq_mul, support_mul, support_inv, univ_inter,
support_comp_inv_smul₀ Dpos.ne', u_support, B, support_const (u_int_pos E).ne', support_const C,
abs_of_nonneg Dpos.le]
#align exists_cont_diff_bump_base.W_support ExistsContDiffBumpBase.w_support
theorem w_compact_support {D : ℝ} (Dpos : 0 < D) : HasCompactSupport (w D : E → ℝ) := by
rw [hasCompactSupport_def, w_support E Dpos, closure_ball (0 : E) Dpos.ne']
exact isCompact_closedBall _ _
#align exists_cont_diff_bump_base.W_compact_support ExistsContDiffBumpBase.w_compact_support
variable {E}
/-- An auxiliary function to construct partitions of unity on finite-dimensional real vector spaces.
It is the convolution between a smooth function of integral `1` supported in the ball of radius `D`,
with the indicator function of the closed unit ball. Therefore, it is smooth, equal to `1` on the
ball of radius `1 - D`, with support equal to the ball of radius `1 + D`. -/
def y (D : ℝ) : E → ℝ :=
w D ⋆[lsmul ℝ ℝ, μ] φ
#align exists_cont_diff_bump_base.Y ExistsContDiffBumpBase.y
theorem y_neg (D : ℝ) (x : E) : y D (-x) = y D x := by
apply convolution_neg_of_neg_eq
· filter_upwards with x
simp only [w_def, Real.rpow_natCast, mul_inv_rev, smul_neg, u_neg, smul_eq_mul, forall_const]
· filter_upwards with x
simp only [φ, indicator, mem_closedBall, dist_zero_right, norm_neg, forall_const]
#align exists_cont_diff_bump_base.Y_neg ExistsContDiffBumpBase.y_neg
| Mathlib/Analysis/Calculus/BumpFunction/FiniteDimension.lean | 365 | 381 | theorem y_eq_one_of_mem_closedBall {D : ℝ} {x : E} (Dpos : 0 < D)
(hx : x ∈ closedBall (0 : E) (1 - D)) : y D x = 1 := by |
change (w D ⋆[lsmul ℝ ℝ, μ] φ) x = 1
have B : ∀ y : E, y ∈ ball x D → φ y = 1 := by
have C : ball x D ⊆ ball 0 1 := by
apply ball_subset_ball'
simp only [mem_closedBall] at hx
linarith only [hx]
intro y hy
simp only [φ, indicator, mem_closedBall, ite_eq_left_iff, not_le, zero_ne_one]
intro h'y
linarith only [mem_ball.1 (C hy), h'y]
have Bx : φ x = 1 := B _ (mem_ball_self Dpos)
have B' : ∀ y, y ∈ ball x D → φ y = φ x := by rw [Bx]; exact B
rw [convolution_eq_right' _ (le_of_eq (w_support E Dpos)) B']
simp only [lsmul_apply, Algebra.id.smul_eq_mul, integral_mul_right, w_integral E Dpos, Bx,
one_mul]
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Johannes Hölzl, Scott Morrison, Jens Wagemaker, Johan Commelin
-/
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.RingTheory.Localization.FractionRing
#align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8"
/-!
# Theory of univariate polynomials
We define the multiset of roots of a polynomial, and prove basic results about it.
## Main definitions
* `Polynomial.roots p`: The multiset containing all the roots of `p`, including their
multiplicities.
* `Polynomial.rootSet p E`: The set of distinct roots of `p` in an algebra `E`.
## Main statements
* `Polynomial.C_leadingCoeff_mul_prod_multiset_X_sub_C`: If a polynomial has as many roots as its
degree, it can be written as the product of its leading coefficient with `∏ (X - a)` where `a`
ranges through its roots.
-/
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
/-- `roots p` noncomputably gives a multiset containing all the roots of `p`,
including their multiplicities. -/
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
section NthRoots
/-- `nthRoots n a` noncomputably returns the solutions to `x ^ n = a`-/
def nthRoots (n : ℕ) (a : R) : Multiset R :=
roots ((X : R[X]) ^ n - C a)
#align polynomial.nth_roots Polynomial.nthRoots
@[simp]
theorem mem_nthRoots {n : ℕ} (hn : 0 < n) {a x : R} : x ∈ nthRoots n a ↔ x ^ n = a := by
rw [nthRoots, mem_roots (X_pow_sub_C_ne_zero hn a), IsRoot.def, eval_sub, eval_C, eval_pow,
eval_X, sub_eq_zero]
#align polynomial.mem_nth_roots Polynomial.mem_nthRoots
@[simp]
theorem nthRoots_zero (r : R) : nthRoots 0 r = 0 := by
simp only [empty_eq_zero, pow_zero, nthRoots, ← C_1, ← C_sub, roots_C]
#align polynomial.nth_roots_zero Polynomial.nthRoots_zero
@[simp]
theorem nthRoots_zero_right {R} [CommRing R] [IsDomain R] (n : ℕ) :
nthRoots n (0 : R) = Multiset.replicate n 0 := by
rw [nthRoots, C.map_zero, sub_zero, roots_pow, roots_X, Multiset.nsmul_singleton]
theorem card_nthRoots (n : ℕ) (a : R) : Multiset.card (nthRoots n a) ≤ n := by
classical exact
(if hn : n = 0 then
if h : (X : R[X]) ^ n - C a = 0 then by
simp [Nat.zero_le, nthRoots, roots, h, dif_pos rfl, empty_eq_zero, Multiset.card_zero]
else
WithBot.coe_le_coe.1
(le_trans (card_roots h)
(by
rw [hn, pow_zero, ← C_1, ← RingHom.map_sub]
exact degree_C_le))
else by
rw [← Nat.cast_le (α := WithBot ℕ)]
rw [← degree_X_pow_sub_C (Nat.pos_of_ne_zero hn) a]
exact card_roots (X_pow_sub_C_ne_zero (Nat.pos_of_ne_zero hn) a))
#align polynomial.card_nth_roots Polynomial.card_nthRoots
@[simp]
theorem nthRoots_two_eq_zero_iff {r : R} : nthRoots 2 r = 0 ↔ ¬IsSquare r := by
simp_rw [isSquare_iff_exists_sq, eq_zero_iff_forall_not_mem, mem_nthRoots (by norm_num : 0 < 2),
← not_exists, eq_comm]
#align polynomial.nth_roots_two_eq_zero_iff Polynomial.nthRoots_two_eq_zero_iff
/-- The multiset `nthRoots ↑n (1 : R)` as a Finset. -/
def nthRootsFinset (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : Finset R :=
haveI := Classical.decEq R
Multiset.toFinset (nthRoots n (1 : R))
#align polynomial.nth_roots_finset Polynomial.nthRootsFinset
-- Porting note (#10756): new lemma
lemma nthRootsFinset_def (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] [DecidableEq R] :
nthRootsFinset n R = Multiset.toFinset (nthRoots n (1 : R)) := by
unfold nthRootsFinset
convert rfl
@[simp]
theorem mem_nthRootsFinset {n : ℕ} (h : 0 < n) {x : R} :
x ∈ nthRootsFinset n R ↔ x ^ (n : ℕ) = 1 := by
classical
rw [nthRootsFinset_def, mem_toFinset, mem_nthRoots h]
#align polynomial.mem_nth_roots_finset Polynomial.mem_nthRootsFinset
@[simp]
theorem nthRootsFinset_zero : nthRootsFinset 0 R = ∅ := by classical simp [nthRootsFinset_def]
#align polynomial.nth_roots_finset_zero Polynomial.nthRootsFinset_zero
theorem mul_mem_nthRootsFinset
{η₁ η₂ : R} (hη₁ : η₁ ∈ nthRootsFinset n R) (hη₂ : η₂ ∈ nthRootsFinset n R) :
η₁ * η₂ ∈ nthRootsFinset n R := by
cases n with
| zero =>
simp only [Nat.zero_eq, nthRootsFinset_zero, not_mem_empty] at hη₁
| succ n =>
rw [mem_nthRootsFinset n.succ_pos] at hη₁ hη₂ ⊢
rw [mul_pow, hη₁, hη₂, one_mul]
theorem ne_zero_of_mem_nthRootsFinset {η : R} (hη : η ∈ nthRootsFinset n R) : η ≠ 0 := by
nontriviality R
rintro rfl
cases n with
| zero =>
simp only [Nat.zero_eq, nthRootsFinset_zero, not_mem_empty] at hη
| succ n =>
rw [mem_nthRootsFinset n.succ_pos, zero_pow n.succ_ne_zero] at hη
exact zero_ne_one hη
theorem one_mem_nthRootsFinset (hn : 0 < n) : 1 ∈ nthRootsFinset n R := by
rw [mem_nthRootsFinset hn, one_pow]
end NthRoots
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]
/-- Given a polynomial `p` with coefficients in a ring `T` and a `T`-algebra `S`, `aroots p S` is
the multiset of roots of `p` regarded as a polynomial over `S`. -/
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]
| Mathlib/Algebra/Polynomial/Roots.lean | 443 | 445 | theorem aroots_X [CommRing S] [IsDomain S] [Algebra T S] :
aroots (X : T[X]) S = {0} := by |
rw [aroots_def, map_X, roots_X]
|
/-
Copyright (c) 2023 David Loeffler. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Loeffler
-/
import Mathlib.Analysis.SpecialFunctions.Gaussian.FourierTransform
import Mathlib.Analysis.Fourier.PoissonSummation
/-!
# Poisson summation applied to the Gaussian
In `Real.tsum_exp_neg_mul_int_sq` and `Complex.tsum_exp_neg_mul_int_sq`, we use Poisson summation
to prove the identity
`∑' (n : ℤ), exp (-π * a * n ^ 2) = 1 / a ^ (1 / 2) * ∑' (n : ℤ), exp (-π / a * n ^ 2)`
for positive real `a`, or complex `a` with positive real part. (See also
`NumberTheory.ModularForms.JacobiTheta`.)
-/
open Real Set MeasureTheory Filter Asymptotics intervalIntegral
open scoped Real Topology FourierTransform RealInnerProductSpace
open Complex hiding exp continuous_exp abs_of_nonneg sq_abs
noncomputable section
section GaussianPoisson
variable {E : Type*} [NormedAddCommGroup E]
/-! First we show that Gaussian-type functions have rapid decay along `cocompact ℝ`. -/
lemma rexp_neg_quadratic_isLittleO_rpow_atTop {a : ℝ} (ha : a < 0) (b s : ℝ) :
(fun x ↦ rexp (a * x ^ 2 + b * x)) =o[atTop] (· ^ s) := by
suffices (fun x ↦ rexp (a * x ^ 2 + b * x)) =o[atTop] (fun x ↦ rexp (-x)) by
refine this.trans ?_
simpa only [neg_one_mul] using isLittleO_exp_neg_mul_rpow_atTop zero_lt_one s
rw [isLittleO_exp_comp_exp_comp]
have : (fun x ↦ -x - (a * x ^ 2 + b * x)) = fun x ↦ x * (-a * x - (b + 1)) := by
ext1 x; ring_nf
rw [this]
exact tendsto_id.atTop_mul_atTop <|
Filter.tendsto_atTop_add_const_right _ _ <| tendsto_id.const_mul_atTop (neg_pos.mpr ha)
lemma cexp_neg_quadratic_isLittleO_rpow_atTop {a : ℂ} (ha : a.re < 0) (b : ℂ) (s : ℝ) :
(fun x : ℝ ↦ cexp (a * x ^ 2 + b * x)) =o[atTop] (· ^ s) := by
apply Asymptotics.IsLittleO.of_norm_left
convert rexp_neg_quadratic_isLittleO_rpow_atTop ha b.re s with x
simp_rw [Complex.norm_eq_abs, Complex.abs_exp, add_re, ← ofReal_pow, mul_comm (_ : ℂ) ↑(_ : ℝ),
re_ofReal_mul, mul_comm _ (re _)]
lemma cexp_neg_quadratic_isLittleO_abs_rpow_cocompact {a : ℂ} (ha : a.re < 0) (b : ℂ) (s : ℝ) :
(fun x : ℝ ↦ cexp (a * x ^ 2 + b * x)) =o[cocompact ℝ] (|·| ^ s) := by
rw [cocompact_eq_atBot_atTop, isLittleO_sup]
constructor
· refine ((cexp_neg_quadratic_isLittleO_rpow_atTop ha (-b) s).comp_tendsto
Filter.tendsto_neg_atBot_atTop).congr' (eventually_of_forall fun x ↦ ?_) ?_
· simp only [neg_mul, Function.comp_apply, ofReal_neg, neg_sq, mul_neg, neg_neg]
· refine (eventually_lt_atBot 0).mp (eventually_of_forall fun x hx ↦ ?_)
simp only [Function.comp_apply, abs_of_neg hx]
· refine (cexp_neg_quadratic_isLittleO_rpow_atTop ha b s).congr' EventuallyEq.rfl ?_
refine (eventually_gt_atTop 0).mp (eventually_of_forall fun x hx ↦ ?_)
simp_rw [abs_of_pos hx]
theorem tendsto_rpow_abs_mul_exp_neg_mul_sq_cocompact {a : ℝ} (ha : 0 < a) (s : ℝ) :
Tendsto (fun x : ℝ => |x| ^ s * rexp (-a * x ^ 2)) (cocompact ℝ) (𝓝 0) := by
conv in rexp _ => rw [← sq_abs]
erw [cocompact_eq_atBot_atTop, ← comap_abs_atTop,
@tendsto_comap'_iff _ _ _ (fun y => y ^ s * rexp (-a * y ^ 2)) _ _ _
(mem_atTop_sets.mpr ⟨0, fun b hb => ⟨b, abs_of_nonneg hb⟩⟩)]
exact
(rpow_mul_exp_neg_mul_sq_isLittleO_exp_neg ha s).tendsto_zero_of_tendsto
(tendsto_exp_atBot.comp <| tendsto_id.const_mul_atTop_of_neg (neg_lt_zero.mpr one_half_pos))
#align tendsto_rpow_abs_mul_exp_neg_mul_sq_cocompact tendsto_rpow_abs_mul_exp_neg_mul_sq_cocompact
| Mathlib/Analysis/SpecialFunctions/Gaussian/PoissonSummation.lean | 79 | 83 | theorem isLittleO_exp_neg_mul_sq_cocompact {a : ℂ} (ha : 0 < a.re) (s : ℝ) :
(fun x : ℝ => Complex.exp (-a * x ^ 2)) =o[cocompact ℝ] fun x : ℝ => |x| ^ s := by |
convert cexp_neg_quadratic_isLittleO_abs_rpow_cocompact (?_ : (-a).re < 0) 0 s using 1
· simp_rw [zero_mul, add_zero]
· rwa [neg_re, neg_lt_zero]
|
/-
Copyright (c) 2020 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta
-/
import Mathlib.CategoryTheory.Sites.SheafOfTypes
import Mathlib.Order.Closure
#align_import category_theory.sites.closed from "leanprover-community/mathlib"@"4cfc30e317caad46858393f1a7a33f609296cc30"
/-!
# Closed sieves
A natural closure operator on sieves is a closure operator on `Sieve X` for each `X` which commutes
with pullback.
We show that a Grothendieck topology `J` induces a natural closure operator, and define what the
closed sieves are. The collection of `J`-closed sieves forms a presheaf which is a sheaf for `J`,
and further this presheaf can be used to determine the Grothendieck topology from the sheaf
predicate.
Finally we show that a natural closure operator on sieves induces a Grothendieck topology, and hence
that natural closure operators are in bijection with Grothendieck topologies.
## Main definitions
* `CategoryTheory.GrothendieckTopology.close`: Sends a sieve `S` on `X` to the set of arrows
which it covers. This has all the usual properties of a closure operator, as well as commuting
with pullback.
* `CategoryTheory.GrothendieckTopology.closureOperator`: The bundled `ClosureOperator` given
by `CategoryTheory.GrothendieckTopology.close`.
* `CategoryTheory.GrothendieckTopology.IsClosed`: A sieve `S` on `X` is closed for the topology `J`
if it contains every arrow it covers.
* `CategoryTheory.Functor.closedSieves`: The presheaf sending `X` to the collection of `J`-closed
sieves on `X`. This is additionally shown to be a sheaf for `J`, and if this is a sheaf for a
different topology `J'`, then `J' ≤ J`.
* `CategoryTheory.topologyOfClosureOperator`: A closure operator on the
set of sieves on every object which commutes with pullback additionally induces a Grothendieck
topology, giving a bijection with `CategoryTheory.GrothendieckTopology.closureOperator`.
## Tags
closed sieve, closure, Grothendieck topology
## References
* [S. MacLane, I. Moerdijk, *Sheaves in Geometry and Logic*][MM92]
-/
universe v u
namespace CategoryTheory
variable {C : Type u} [Category.{v} C]
variable (J₁ J₂ : GrothendieckTopology C)
namespace GrothendieckTopology
/-- The `J`-closure of a sieve is the collection of arrows which it covers. -/
@[simps]
def close {X : C} (S : Sieve X) : Sieve X where
arrows _ f := J₁.Covers S f
downward_closed hS := J₁.arrow_stable _ _ hS
#align category_theory.grothendieck_topology.close CategoryTheory.GrothendieckTopology.close
/-- Any sieve is smaller than its closure. -/
theorem le_close {X : C} (S : Sieve X) : S ≤ J₁.close S :=
fun _ _ hg => J₁.covering_of_eq_top (S.pullback_eq_top_of_mem hg)
#align category_theory.grothendieck_topology.le_close CategoryTheory.GrothendieckTopology.le_close
/-- A sieve is closed for the Grothendieck topology if it contains every arrow it covers.
In the case of the usual topology on a topological space, this means that the open cover contains
every open set which it covers.
Note this has no relation to a closed subset of a topological space.
-/
def IsClosed {X : C} (S : Sieve X) : Prop :=
∀ ⦃Y : C⦄ (f : Y ⟶ X), J₁.Covers S f → S f
#align category_theory.grothendieck_topology.is_closed CategoryTheory.GrothendieckTopology.IsClosed
/-- If `S` is `J₁`-closed, then `S` covers exactly the arrows it contains. -/
theorem covers_iff_mem_of_isClosed {X : C} {S : Sieve X} (h : J₁.IsClosed S) {Y : C} (f : Y ⟶ X) :
J₁.Covers S f ↔ S f :=
⟨h _, J₁.arrow_max _ _⟩
#align category_theory.grothendieck_topology.covers_iff_mem_of_closed CategoryTheory.GrothendieckTopology.covers_iff_mem_of_isClosed
/-- Being `J`-closed is stable under pullback. -/
theorem isClosed_pullback {X Y : C} (f : Y ⟶ X) (S : Sieve X) :
J₁.IsClosed S → J₁.IsClosed (S.pullback f) :=
fun hS Z g hg => hS (g ≫ f) (by rwa [J₁.covers_iff, Sieve.pullback_comp])
#align category_theory.grothendieck_topology.is_closed_pullback CategoryTheory.GrothendieckTopology.isClosed_pullback
/-- The closure of a sieve `S` is the largest closed sieve which contains `S` (justifying the name
"closure").
-/
theorem le_close_of_isClosed {X : C} {S T : Sieve X} (h : S ≤ T) (hT : J₁.IsClosed T) :
J₁.close S ≤ T :=
fun _ f hf => hT _ (J₁.superset_covering (Sieve.pullback_monotone f h) hf)
#align category_theory.grothendieck_topology.le_close_of_is_closed CategoryTheory.GrothendieckTopology.le_close_of_isClosed
/-- The closure of a sieve is closed. -/
theorem close_isClosed {X : C} (S : Sieve X) : J₁.IsClosed (J₁.close S) :=
fun _ g hg => J₁.arrow_trans g _ S hg fun _ hS => hS
#align category_theory.grothendieck_topology.close_is_closed CategoryTheory.GrothendieckTopology.close_isClosed
/-- A Grothendieck topology induces a natural family of closure operators on sieves. -/
@[simps! isClosed]
def closureOperator (X : C) : ClosureOperator (Sieve X) :=
.ofPred J₁.close J₁.IsClosed J₁.le_close J₁.close_isClosed fun _ _ ↦ J₁.le_close_of_isClosed
#align category_theory.grothendieck_topology.closure_operator CategoryTheory.GrothendieckTopology.closureOperator
#align category_theory.grothendieck_topology.closed_iff_closed CategoryTheory.GrothendieckTopology.closureOperator_isClosed
/-- The sieve `S` is closed iff its closure is equal to itself. -/
theorem isClosed_iff_close_eq_self {X : C} (S : Sieve X) : J₁.IsClosed S ↔ J₁.close S = S :=
(J₁.closureOperator _).isClosed_iff
#align category_theory.grothendieck_topology.is_closed_iff_close_eq_self CategoryTheory.GrothendieckTopology.isClosed_iff_close_eq_self
theorem close_eq_self_of_isClosed {X : C} {S : Sieve X} (hS : J₁.IsClosed S) : J₁.close S = S :=
(J₁.isClosed_iff_close_eq_self S).1 hS
#align category_theory.grothendieck_topology.close_eq_self_of_is_closed CategoryTheory.GrothendieckTopology.close_eq_self_of_isClosed
/-- Closing under `J` is stable under pullback. -/
| Mathlib/CategoryTheory/Sites/Closed.lean | 124 | 132 | theorem pullback_close {X Y : C} (f : Y ⟶ X) (S : Sieve X) :
J₁.close (S.pullback f) = (J₁.close S).pullback f := by |
apply le_antisymm
· refine J₁.le_close_of_isClosed (Sieve.pullback_monotone _ (J₁.le_close S)) ?_
apply J₁.isClosed_pullback _ _ (J₁.close_isClosed _)
· intro Z g hg
change _ ∈ J₁ _
rw [← Sieve.pullback_comp]
apply hg
|
/-
Copyright (c) 2022 Bolton Bailey. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bolton Bailey, Chris Hughes, Abhimanyu Pallavi Sudhir, Jean Lo, Calle Sönne
-/
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Mathlib.Data.Int.Log
#align_import analysis.special_functions.log.base from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690"
/-!
# Real logarithm base `b`
In this file we define `Real.logb` to be the logarithm of a real number in a given base `b`. We
define this as the division of the natural logarithms of the argument and the base, so that we have
a globally defined function with `logb b 0 = 0`, `logb b (-x) = logb b x` `logb 0 x = 0` and
`logb (-b) x = logb b x`.
We prove some basic properties of this function and its relation to `rpow`.
## Tags
logarithm, continuity
-/
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {b x y : ℝ}
/-- The real logarithm in a given base. As with the natural logarithm, we define `logb b x` to
be `logb b |x|` for `x < 0`, and `0` for `x = 0`. -/
-- @[pp_nodot] -- Porting note: removed
noncomputable def logb (b x : ℝ) : ℝ :=
log x / log b
#align real.logb Real.logb
theorem log_div_log : log x / log b = logb b x :=
rfl
#align real.log_div_log Real.log_div_log
@[simp]
theorem logb_zero : logb b 0 = 0 := by simp [logb]
#align real.logb_zero Real.logb_zero
@[simp]
theorem logb_one : logb b 1 = 0 := by simp [logb]
#align real.logb_one Real.logb_one
@[simp]
lemma logb_self_eq_one (hb : 1 < b) : logb b b = 1 :=
div_self (log_pos hb).ne'
lemma logb_self_eq_one_iff : logb b b = 1 ↔ b ≠ 0 ∧ b ≠ 1 ∧ b ≠ -1 :=
Iff.trans ⟨fun h h' => by simp [logb, h'] at h, div_self⟩ log_ne_zero
@[simp]
theorem logb_abs (x : ℝ) : logb b |x| = logb b x := by rw [logb, logb, log_abs]
#align real.logb_abs Real.logb_abs
@[simp]
theorem logb_neg_eq_logb (x : ℝ) : logb b (-x) = logb b x := by
rw [← logb_abs x, ← logb_abs (-x), abs_neg]
#align real.logb_neg_eq_logb Real.logb_neg_eq_logb
theorem logb_mul (hx : x ≠ 0) (hy : y ≠ 0) : logb b (x * y) = logb b x + logb b y := by
simp_rw [logb, log_mul hx hy, add_div]
#align real.logb_mul Real.logb_mul
theorem logb_div (hx : x ≠ 0) (hy : y ≠ 0) : logb b (x / y) = logb b x - logb b y := by
simp_rw [logb, log_div hx hy, sub_div]
#align real.logb_div Real.logb_div
@[simp]
theorem logb_inv (x : ℝ) : logb b x⁻¹ = -logb b x := by simp [logb, neg_div]
#align real.logb_inv Real.logb_inv
theorem inv_logb (a b : ℝ) : (logb a b)⁻¹ = logb b a := by simp_rw [logb, inv_div]
#align real.inv_logb Real.inv_logb
theorem inv_logb_mul_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) :
(logb (a * b) c)⁻¹ = (logb a c)⁻¹ + (logb b c)⁻¹ := by
simp_rw [inv_logb]; exact logb_mul h₁ h₂
#align real.inv_logb_mul_base Real.inv_logb_mul_base
theorem inv_logb_div_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) :
(logb (a / b) c)⁻¹ = (logb a c)⁻¹ - (logb b c)⁻¹ := by
simp_rw [inv_logb]; exact logb_div h₁ h₂
#align real.inv_logb_div_base Real.inv_logb_div_base
theorem logb_mul_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) :
logb (a * b) c = ((logb a c)⁻¹ + (logb b c)⁻¹)⁻¹ := by rw [← inv_logb_mul_base h₁ h₂ c, inv_inv]
#align real.logb_mul_base Real.logb_mul_base
theorem logb_div_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) :
logb (a / b) c = ((logb a c)⁻¹ - (logb b c)⁻¹)⁻¹ := by rw [← inv_logb_div_base h₁ h₂ c, inv_inv]
#align real.logb_div_base Real.logb_div_base
theorem mul_logb {a b c : ℝ} (h₁ : b ≠ 0) (h₂ : b ≠ 1) (h₃ : b ≠ -1) :
logb a b * logb b c = logb a c := by
unfold logb
rw [mul_comm, div_mul_div_cancel _ (log_ne_zero.mpr ⟨h₁, h₂, h₃⟩)]
#align real.mul_logb Real.mul_logb
theorem div_logb {a b c : ℝ} (h₁ : c ≠ 0) (h₂ : c ≠ 1) (h₃ : c ≠ -1) :
logb a c / logb b c = logb a b :=
div_div_div_cancel_left' _ _ <| log_ne_zero.mpr ⟨h₁, h₂, h₃⟩
#align real.div_logb Real.div_logb
theorem logb_rpow_eq_mul_logb_of_pos (hx : 0 < x) : logb b (x ^ y) = y * logb b x := by
rw [logb, log_rpow hx, logb, mul_div_assoc]
theorem logb_pow {k : ℕ} (hx : 0 < x) : logb b (x ^ k) = k * logb b x := by
rw [← rpow_natCast, logb_rpow_eq_mul_logb_of_pos hx]
section BPosAndNeOne
variable (b_pos : 0 < b) (b_ne_one : b ≠ 1)
private theorem log_b_ne_zero : log b ≠ 0 := by
have b_ne_zero : b ≠ 0 := by linarith
have b_ne_minus_one : b ≠ -1 := by linarith
simp [b_ne_one, b_ne_zero, b_ne_minus_one]
@[simp]
theorem logb_rpow : logb b (b ^ x) = x := by
rw [logb, div_eq_iff, log_rpow b_pos]
exact log_b_ne_zero b_pos b_ne_one
#align real.logb_rpow Real.logb_rpow
theorem rpow_logb_eq_abs (hx : x ≠ 0) : b ^ logb b x = |x| := by
apply log_injOn_pos
· simp only [Set.mem_Ioi]
apply rpow_pos_of_pos b_pos
· simp only [abs_pos, mem_Ioi, Ne, hx, not_false_iff]
rw [log_rpow b_pos, logb, log_abs]
field_simp [log_b_ne_zero b_pos b_ne_one]
#align real.rpow_logb_eq_abs Real.rpow_logb_eq_abs
@[simp]
theorem rpow_logb (hx : 0 < x) : b ^ logb b x = x := by
rw [rpow_logb_eq_abs b_pos b_ne_one hx.ne']
exact abs_of_pos hx
#align real.rpow_logb Real.rpow_logb
theorem rpow_logb_of_neg (hx : x < 0) : b ^ logb b x = -x := by
rw [rpow_logb_eq_abs b_pos b_ne_one (ne_of_lt hx)]
exact abs_of_neg hx
#align real.rpow_logb_of_neg Real.rpow_logb_of_neg
theorem logb_eq_iff_rpow_eq (hy : 0 < y) : logb b y = x ↔ b ^ x = y := by
constructor <;> rintro rfl
· exact rpow_logb b_pos b_ne_one hy
· exact logb_rpow b_pos b_ne_one
theorem surjOn_logb : SurjOn (logb b) (Ioi 0) univ := fun x _ =>
⟨b ^ x, rpow_pos_of_pos b_pos x, logb_rpow b_pos b_ne_one⟩
#align real.surj_on_logb Real.surjOn_logb
theorem logb_surjective : Surjective (logb b) := fun x => ⟨b ^ x, logb_rpow b_pos b_ne_one⟩
#align real.logb_surjective Real.logb_surjective
@[simp]
theorem range_logb : range (logb b) = univ :=
(logb_surjective b_pos b_ne_one).range_eq
#align real.range_logb Real.range_logb
theorem surjOn_logb' : SurjOn (logb b) (Iio 0) univ := by
intro x _
use -b ^ x
constructor
· simp only [Right.neg_neg_iff, Set.mem_Iio]
apply rpow_pos_of_pos b_pos
· rw [logb_neg_eq_logb, logb_rpow b_pos b_ne_one]
#align real.surj_on_logb' Real.surjOn_logb'
end BPosAndNeOne
section OneLtB
variable (hb : 1 < b)
private theorem b_pos : 0 < b := by linarith
-- Porting note: prime added to avoid clashing with `b_ne_one` further down the file
private theorem b_ne_one' : b ≠ 1 := by linarith
@[simp]
theorem logb_le_logb (h : 0 < x) (h₁ : 0 < y) : logb b x ≤ logb b y ↔ x ≤ y := by
rw [logb, logb, div_le_div_right (log_pos hb), log_le_log_iff h h₁]
#align real.logb_le_logb Real.logb_le_logb
@[gcongr]
theorem logb_le_logb_of_le (h : 0 < x) (hxy : x ≤ y) : logb b x ≤ logb b y :=
(logb_le_logb hb h (by linarith)).mpr hxy
@[gcongr]
theorem logb_lt_logb (hx : 0 < x) (hxy : x < y) : logb b x < logb b y := by
rw [logb, logb, div_lt_div_right (log_pos hb)]
exact log_lt_log hx hxy
#align real.logb_lt_logb Real.logb_lt_logb
@[simp]
theorem logb_lt_logb_iff (hx : 0 < x) (hy : 0 < y) : logb b x < logb b y ↔ x < y := by
rw [logb, logb, div_lt_div_right (log_pos hb)]
exact log_lt_log_iff hx hy
#align real.logb_lt_logb_iff Real.logb_lt_logb_iff
theorem logb_le_iff_le_rpow (hx : 0 < x) : logb b x ≤ y ↔ x ≤ b ^ y := by
rw [← rpow_le_rpow_left_iff hb, rpow_logb (b_pos hb) (b_ne_one' hb) hx]
#align real.logb_le_iff_le_rpow Real.logb_le_iff_le_rpow
theorem logb_lt_iff_lt_rpow (hx : 0 < x) : logb b x < y ↔ x < b ^ y := by
rw [← rpow_lt_rpow_left_iff hb, rpow_logb (b_pos hb) (b_ne_one' hb) hx]
#align real.logb_lt_iff_lt_rpow Real.logb_lt_iff_lt_rpow
theorem le_logb_iff_rpow_le (hy : 0 < y) : x ≤ logb b y ↔ b ^ x ≤ y := by
rw [← rpow_le_rpow_left_iff hb, rpow_logb (b_pos hb) (b_ne_one' hb) hy]
#align real.le_logb_iff_rpow_le Real.le_logb_iff_rpow_le
theorem lt_logb_iff_rpow_lt (hy : 0 < y) : x < logb b y ↔ b ^ x < y := by
rw [← rpow_lt_rpow_left_iff hb, rpow_logb (b_pos hb) (b_ne_one' hb) hy]
#align real.lt_logb_iff_rpow_lt Real.lt_logb_iff_rpow_lt
theorem logb_pos_iff (hx : 0 < x) : 0 < logb b x ↔ 1 < x := by
rw [← @logb_one b]
rw [logb_lt_logb_iff hb zero_lt_one hx]
#align real.logb_pos_iff Real.logb_pos_iff
theorem logb_pos (hx : 1 < x) : 0 < logb b x := by
rw [logb_pos_iff hb (lt_trans zero_lt_one hx)]
exact hx
#align real.logb_pos Real.logb_pos
theorem logb_neg_iff (h : 0 < x) : logb b x < 0 ↔ x < 1 := by
rw [← logb_one]
exact logb_lt_logb_iff hb h zero_lt_one
#align real.logb_neg_iff Real.logb_neg_iff
theorem logb_neg (h0 : 0 < x) (h1 : x < 1) : logb b x < 0 :=
(logb_neg_iff hb h0).2 h1
#align real.logb_neg Real.logb_neg
theorem logb_nonneg_iff (hx : 0 < x) : 0 ≤ logb b x ↔ 1 ≤ x := by
rw [← not_lt, logb_neg_iff hb hx, not_lt]
#align real.logb_nonneg_iff Real.logb_nonneg_iff
theorem logb_nonneg (hx : 1 ≤ x) : 0 ≤ logb b x :=
(logb_nonneg_iff hb (zero_lt_one.trans_le hx)).2 hx
#align real.logb_nonneg Real.logb_nonneg
theorem logb_nonpos_iff (hx : 0 < x) : logb b x ≤ 0 ↔ x ≤ 1 := by
rw [← not_lt, logb_pos_iff hb hx, not_lt]
#align real.logb_nonpos_iff Real.logb_nonpos_iff
theorem logb_nonpos_iff' (hx : 0 ≤ x) : logb b x ≤ 0 ↔ x ≤ 1 := by
rcases hx.eq_or_lt with (rfl | hx)
· simp [le_refl, zero_le_one]
exact logb_nonpos_iff hb hx
#align real.logb_nonpos_iff' Real.logb_nonpos_iff'
theorem logb_nonpos (hx : 0 ≤ x) (h'x : x ≤ 1) : logb b x ≤ 0 :=
(logb_nonpos_iff' hb hx).2 h'x
#align real.logb_nonpos Real.logb_nonpos
theorem strictMonoOn_logb : StrictMonoOn (logb b) (Set.Ioi 0) := fun _ hx _ _ hxy =>
logb_lt_logb hb hx hxy
#align real.strict_mono_on_logb Real.strictMonoOn_logb
theorem strictAntiOn_logb : StrictAntiOn (logb b) (Set.Iio 0) := by
rintro x (hx : x < 0) y (hy : y < 0) hxy
rw [← logb_abs y, ← logb_abs x]
refine logb_lt_logb hb (abs_pos.2 hy.ne) ?_
rwa [abs_of_neg hy, abs_of_neg hx, neg_lt_neg_iff]
#align real.strict_anti_on_logb Real.strictAntiOn_logb
theorem logb_injOn_pos : Set.InjOn (logb b) (Set.Ioi 0) :=
(strictMonoOn_logb hb).injOn
#align real.logb_inj_on_pos Real.logb_injOn_pos
theorem eq_one_of_pos_of_logb_eq_zero (h₁ : 0 < x) (h₂ : logb b x = 0) : x = 1 :=
logb_injOn_pos hb (Set.mem_Ioi.2 h₁) (Set.mem_Ioi.2 zero_lt_one) (h₂.trans Real.logb_one.symm)
#align real.eq_one_of_pos_of_logb_eq_zero Real.eq_one_of_pos_of_logb_eq_zero
theorem logb_ne_zero_of_pos_of_ne_one (hx_pos : 0 < x) (hx : x ≠ 1) : logb b x ≠ 0 :=
mt (eq_one_of_pos_of_logb_eq_zero hb hx_pos) hx
#align real.logb_ne_zero_of_pos_of_ne_one Real.logb_ne_zero_of_pos_of_ne_one
theorem tendsto_logb_atTop : Tendsto (logb b) atTop atTop :=
Tendsto.atTop_div_const (log_pos hb) tendsto_log_atTop
#align real.tendsto_logb_at_top Real.tendsto_logb_atTop
end OneLtB
section BPosAndBLtOne
variable (b_pos : 0 < b) (b_lt_one : b < 1)
private theorem b_ne_one : b ≠ 1 := by linarith
@[simp]
theorem logb_le_logb_of_base_lt_one (h : 0 < x) (h₁ : 0 < y) : logb b x ≤ logb b y ↔ y ≤ x := by
rw [logb, logb, div_le_div_right_of_neg (log_neg b_pos b_lt_one), log_le_log_iff h₁ h]
#align real.logb_le_logb_of_base_lt_one Real.logb_le_logb_of_base_lt_one
| Mathlib/Analysis/SpecialFunctions/Log/Base.lean | 312 | 314 | theorem logb_lt_logb_of_base_lt_one (hx : 0 < x) (hxy : x < y) : logb b y < logb b x := by |
rw [logb, logb, div_lt_div_right_of_neg (log_neg b_pos b_lt_one)]
exact log_lt_log hx hxy
|
/-
Copyright (c) 2022 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import Mathlib.AlgebraicGeometry.Gluing
import Mathlib.CategoryTheory.Limits.Opposites
import Mathlib.AlgebraicGeometry.AffineScheme
import Mathlib.CategoryTheory.Limits.Shapes.Diagonal
#align_import algebraic_geometry.pullbacks from "leanprover-community/mathlib"@"7316286ff2942aa14e540add9058c6b0aa1c8070"
/-!
# Fibred products of schemes
In this file we construct the fibred product of schemes via gluing.
We roughly follow [har77] Theorem 3.3.
In particular, the main construction is to show that for an open cover `{ Uᵢ }` of `X`, if there
exist fibred products `Uᵢ ×[Z] Y` for each `i`, then there exists a fibred product `X ×[Z] Y`.
Then, for constructing the fibred product for arbitrary schemes `X, Y, Z`, we can use the
construction to reduce to the case where `X, Y, Z` are all affine, where fibred products are
constructed via tensor products.
-/
set_option linter.uppercaseLean3 false
universe v u
noncomputable section
open CategoryTheory CategoryTheory.Limits AlgebraicGeometry
namespace AlgebraicGeometry.Scheme
namespace Pullback
variable {C : Type u} [Category.{v} C]
variable {X Y Z : Scheme.{u}} (𝒰 : OpenCover.{u} X) (f : X ⟶ Z) (g : Y ⟶ Z)
variable [∀ i, HasPullback (𝒰.map i ≫ f) g]
/-- The intersection of `Uᵢ ×[Z] Y` and `Uⱼ ×[Z] Y` is given by (Uᵢ ×[Z] Y) ×[X] Uⱼ -/
def v (i j : 𝒰.J) : Scheme :=
pullback ((pullback.fst : pullback (𝒰.map i ≫ f) g ⟶ _) ≫ 𝒰.map i) (𝒰.map j)
#align algebraic_geometry.Scheme.pullback.V AlgebraicGeometry.Scheme.Pullback.v
/-- The canonical transition map `(Uᵢ ×[Z] Y) ×[X] Uⱼ ⟶ (Uⱼ ×[Z] Y) ×[X] Uᵢ` given by the fact
that pullbacks are associative and symmetric. -/
def t (i j : 𝒰.J) : v 𝒰 f g i j ⟶ v 𝒰 f g j i := by
have : HasPullback (pullback.snd ≫ 𝒰.map i ≫ f) g :=
hasPullback_assoc_symm (𝒰.map j) (𝒰.map i) (𝒰.map i ≫ f) g
have : HasPullback (pullback.snd ≫ 𝒰.map j ≫ f) g :=
hasPullback_assoc_symm (𝒰.map i) (𝒰.map j) (𝒰.map j ≫ f) g
refine (pullbackSymmetry ..).hom ≫ (pullbackAssoc ..).inv ≫ ?_
refine ?_ ≫ (pullbackAssoc ..).hom ≫ (pullbackSymmetry ..).hom
refine pullback.map _ _ _ _ (pullbackSymmetry _ _).hom (𝟙 _) (𝟙 _) ?_ ?_
· rw [pullbackSymmetry_hom_comp_snd_assoc, pullback.condition_assoc, Category.comp_id]
· rw [Category.comp_id, Category.id_comp]
#align algebraic_geometry.Scheme.pullback.t AlgebraicGeometry.Scheme.Pullback.t
@[simp, reassoc]
theorem t_fst_fst (i j : 𝒰.J) : t 𝒰 f g i j ≫ pullback.fst ≫ pullback.fst = pullback.snd := by
simp only [t, Category.assoc, pullbackSymmetry_hom_comp_fst_assoc, pullbackAssoc_hom_snd_fst,
pullback.lift_fst_assoc, pullbackSymmetry_hom_comp_snd, pullbackAssoc_inv_fst_fst,
pullbackSymmetry_hom_comp_fst]
#align algebraic_geometry.Scheme.pullback.t_fst_fst AlgebraicGeometry.Scheme.Pullback.t_fst_fst
@[simp, reassoc]
theorem t_fst_snd (i j : 𝒰.J) :
t 𝒰 f g i j ≫ pullback.fst ≫ pullback.snd = pullback.fst ≫ pullback.snd := by
simp only [t, Category.assoc, pullbackSymmetry_hom_comp_fst_assoc, pullbackAssoc_hom_snd_snd,
pullback.lift_snd, Category.comp_id, pullbackAssoc_inv_snd, pullbackSymmetry_hom_comp_snd_assoc]
#align algebraic_geometry.Scheme.pullback.t_fst_snd AlgebraicGeometry.Scheme.Pullback.t_fst_snd
@[simp, reassoc]
theorem t_snd (i j : 𝒰.J) : t 𝒰 f g i j ≫ pullback.snd = pullback.fst ≫ pullback.fst := by
simp only [t, Category.assoc, pullbackSymmetry_hom_comp_snd, pullbackAssoc_hom_fst,
pullback.lift_fst_assoc, pullbackSymmetry_hom_comp_fst, pullbackAssoc_inv_fst_snd,
pullbackSymmetry_hom_comp_snd_assoc]
#align algebraic_geometry.Scheme.pullback.t_snd AlgebraicGeometry.Scheme.Pullback.t_snd
theorem t_id (i : 𝒰.J) : t 𝒰 f g i i = 𝟙 _ := by
apply pullback.hom_ext <;> rw [Category.id_comp]
· apply pullback.hom_ext
· rw [← cancel_mono (𝒰.map i)]; simp only [pullback.condition, Category.assoc, t_fst_fst]
· simp only [Category.assoc, t_fst_snd]
· rw [← cancel_mono (𝒰.map i)]; simp only [pullback.condition, t_snd, Category.assoc]
#align algebraic_geometry.Scheme.pullback.t_id AlgebraicGeometry.Scheme.Pullback.t_id
/-- The inclusion map of `V i j = (Uᵢ ×[Z] Y) ×[X] Uⱼ ⟶ Uᵢ ×[Z] Y`-/
abbrev fV (i j : 𝒰.J) : v 𝒰 f g i j ⟶ pullback (𝒰.map i ≫ f) g :=
pullback.fst
#align algebraic_geometry.Scheme.pullback.fV AlgebraicGeometry.Scheme.Pullback.fV
/-- The map `((Xᵢ ×[Z] Y) ×[X] Xⱼ) ×[Xᵢ ×[Z] Y] ((Xᵢ ×[Z] Y) ×[X] Xₖ)` ⟶
`((Xⱼ ×[Z] Y) ×[X] Xₖ) ×[Xⱼ ×[Z] Y] ((Xⱼ ×[Z] Y) ×[X] Xᵢ)` needed for gluing -/
def t' (i j k : 𝒰.J) :
pullback (fV 𝒰 f g i j) (fV 𝒰 f g i k) ⟶ pullback (fV 𝒰 f g j k) (fV 𝒰 f g j i) := by
refine (pullbackRightPullbackFstIso ..).hom ≫ ?_
refine ?_ ≫ (pullbackSymmetry _ _).hom
refine ?_ ≫ (pullbackRightPullbackFstIso ..).inv
refine pullback.map _ _ _ _ (t 𝒰 f g i j) (𝟙 _) (𝟙 _) ?_ ?_
· simp_rw [Category.comp_id, t_fst_fst_assoc, ← pullback.condition]
· rw [Category.comp_id, Category.id_comp]
#align algebraic_geometry.Scheme.pullback.t' AlgebraicGeometry.Scheme.Pullback.t'
@[simp, reassoc]
theorem t'_fst_fst_fst (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.fst ≫ pullback.fst ≫ pullback.fst = pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_fst_assoc,
pullbackRightPullbackFstIso_inv_snd_fst_assoc, pullback.lift_fst_assoc, t_fst_fst,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_fst_fst_fst AlgebraicGeometry.Scheme.Pullback.t'_fst_fst_fst
@[simp, reassoc]
theorem t'_fst_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.fst ≫ pullback.fst ≫ pullback.snd =
pullback.fst ≫ pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_fst_assoc,
pullbackRightPullbackFstIso_inv_snd_fst_assoc, pullback.lift_fst_assoc, t_fst_snd,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_fst_fst_snd AlgebraicGeometry.Scheme.Pullback.t'_fst_fst_snd
@[simp, reassoc]
theorem t'_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.fst ≫ pullback.snd = pullback.snd ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_fst_assoc,
pullbackRightPullbackFstIso_inv_snd_snd, pullback.lift_snd, Category.comp_id,
pullbackRightPullbackFstIso_hom_snd]
#align algebraic_geometry.Scheme.pullback.t'_fst_snd AlgebraicGeometry.Scheme.Pullback.t'_fst_snd
@[simp, reassoc]
theorem t'_snd_fst_fst (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.snd ≫ pullback.fst ≫ pullback.fst = pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_snd_assoc,
pullbackRightPullbackFstIso_inv_fst_assoc, pullback.lift_fst_assoc, t_fst_fst,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_snd_fst_fst AlgebraicGeometry.Scheme.Pullback.t'_snd_fst_fst
@[simp, reassoc]
theorem t'_snd_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.snd ≫ pullback.fst ≫ pullback.snd =
pullback.fst ≫ pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_snd_assoc,
pullbackRightPullbackFstIso_inv_fst_assoc, pullback.lift_fst_assoc, t_fst_snd,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_snd_fst_snd AlgebraicGeometry.Scheme.Pullback.t'_snd_fst_snd
@[simp, reassoc]
theorem t'_snd_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.snd ≫ pullback.snd = pullback.fst ≫ pullback.fst ≫ pullback.fst := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_snd_assoc,
pullbackRightPullbackFstIso_inv_fst_assoc, pullback.lift_fst_assoc, t_snd,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_snd_snd AlgebraicGeometry.Scheme.Pullback.t'_snd_snd
theorem cocycle_fst_fst_fst (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.fst ≫ pullback.fst ≫ pullback.fst =
pullback.fst ≫ pullback.fst ≫ pullback.fst := by
simp only [t'_fst_fst_fst, t'_fst_snd, t'_snd_snd]
#align algebraic_geometry.Scheme.pullback.cocycle_fst_fst_fst AlgebraicGeometry.Scheme.Pullback.cocycle_fst_fst_fst
theorem cocycle_fst_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.fst ≫ pullback.fst ≫ pullback.snd =
pullback.fst ≫ pullback.fst ≫ pullback.snd := by
simp only [t'_fst_fst_snd]
#align algebraic_geometry.Scheme.pullback.cocycle_fst_fst_snd AlgebraicGeometry.Scheme.Pullback.cocycle_fst_fst_snd
theorem cocycle_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.fst ≫ pullback.snd =
pullback.fst ≫ pullback.snd := by
simp only [t'_fst_snd, t'_snd_snd, t'_fst_fst_fst]
#align algebraic_geometry.Scheme.pullback.cocycle_fst_snd AlgebraicGeometry.Scheme.Pullback.cocycle_fst_snd
theorem cocycle_snd_fst_fst (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.snd ≫ pullback.fst ≫ pullback.fst =
pullback.snd ≫ pullback.fst ≫ pullback.fst := by
rw [← cancel_mono (𝒰.map i)]
simp only [pullback.condition_assoc, t'_snd_fst_fst, t'_fst_snd, t'_snd_snd]
#align algebraic_geometry.Scheme.pullback.cocycle_snd_fst_fst AlgebraicGeometry.Scheme.Pullback.cocycle_snd_fst_fst
theorem cocycle_snd_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.snd ≫ pullback.fst ≫ pullback.snd =
pullback.snd ≫ pullback.fst ≫ pullback.snd := by
simp only [pullback.condition_assoc, t'_snd_fst_snd]
#align algebraic_geometry.Scheme.pullback.cocycle_snd_fst_snd AlgebraicGeometry.Scheme.Pullback.cocycle_snd_fst_snd
theorem cocycle_snd_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.snd ≫ pullback.snd =
pullback.snd ≫ pullback.snd := by
simp only [t'_snd_snd, t'_fst_fst_fst, t'_fst_snd]
#align algebraic_geometry.Scheme.pullback.cocycle_snd_snd AlgebraicGeometry.Scheme.Pullback.cocycle_snd_snd
-- `by tidy` should solve it, but it times out.
theorem cocycle (i j k : 𝒰.J) : t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j = 𝟙 _ := by
apply pullback.hom_ext <;> rw [Category.id_comp]
· apply pullback.hom_ext
· apply pullback.hom_ext
· simp_rw [Category.assoc, cocycle_fst_fst_fst 𝒰 f g i j k]
· simp_rw [Category.assoc, cocycle_fst_fst_snd 𝒰 f g i j k]
· simp_rw [Category.assoc, cocycle_fst_snd 𝒰 f g i j k]
· apply pullback.hom_ext
· apply pullback.hom_ext
· simp_rw [Category.assoc, cocycle_snd_fst_fst 𝒰 f g i j k]
· simp_rw [Category.assoc, cocycle_snd_fst_snd 𝒰 f g i j k]
· simp_rw [Category.assoc, cocycle_snd_snd 𝒰 f g i j k]
#align algebraic_geometry.Scheme.pullback.cocycle AlgebraicGeometry.Scheme.Pullback.cocycle
/-- Given `Uᵢ ×[Z] Y`, this is the glued fibered product `X ×[Z] Y`. -/
@[simps U V f t t', simps (config := .lemmasOnly) J]
def gluing : Scheme.GlueData.{u} where
J := 𝒰.J
U i := pullback (𝒰.map i ≫ f) g
V := fun ⟨i, j⟩ => v 𝒰 f g i j
-- `p⁻¹(Uᵢ ∩ Uⱼ)` where `p : Uᵢ ×[Z] Y ⟶ Uᵢ ⟶ X`.
f i j := pullback.fst
f_id i := inferInstance
f_open := inferInstance
t i j := t 𝒰 f g i j
t_id i := t_id 𝒰 f g i
t' i j k := t' 𝒰 f g i j k
t_fac i j k := by
apply pullback.hom_ext
on_goal 1 => apply pullback.hom_ext
all_goals
simp only [t'_snd_fst_fst, t'_snd_fst_snd, t'_snd_snd, t_fst_fst, t_fst_snd, t_snd,
Category.assoc]
cocycle i j k := cocycle 𝒰 f g i j k
#align algebraic_geometry.Scheme.pullback.gluing AlgebraicGeometry.Scheme.Pullback.gluing
@[simp]
lemma gluing_ι (j : 𝒰.J) :
(gluing 𝒰 f g).ι j = Multicoequalizer.π (gluing 𝒰 f g).diagram j := rfl
/-- The first projection from the glued scheme into `X`. -/
def p1 : (gluing 𝒰 f g).glued ⟶ X := by
apply Multicoequalizer.desc (gluing 𝒰 f g).diagram _ fun i ↦ pullback.fst ≫ 𝒰.map i
simp [t_fst_fst_assoc, ← pullback.condition]
#align algebraic_geometry.Scheme.pullback.p1 AlgebraicGeometry.Scheme.Pullback.p1
/-- The second projection from the glued scheme into `Y`. -/
def p2 : (gluing 𝒰 f g).glued ⟶ Y := by
apply Multicoequalizer.desc _ _ fun i ↦ pullback.snd
simp [t_fst_snd]
#align algebraic_geometry.Scheme.pullback.p2 AlgebraicGeometry.Scheme.Pullback.p2
theorem p_comm : p1 𝒰 f g ≫ f = p2 𝒰 f g ≫ g := by
apply Multicoequalizer.hom_ext
simp [p1, p2, pullback.condition]
#align algebraic_geometry.Scheme.pullback.p_comm AlgebraicGeometry.Scheme.Pullback.p_comm
variable (s : PullbackCone f g)
/-- (Implementation)
The canonical map `(s.X ×[X] Uᵢ) ×[s.X] (s.X ×[X] Uⱼ) ⟶ (Uᵢ ×[Z] Y) ×[X] Uⱼ`
This is used in `gluedLift`. -/
def gluedLiftPullbackMap (i j : 𝒰.J) :
pullback ((𝒰.pullbackCover s.fst).map i) ((𝒰.pullbackCover s.fst).map j) ⟶
(gluing 𝒰 f g).V ⟨i, j⟩ := by
refine (pullbackRightPullbackFstIso _ _ _).hom ≫ ?_
refine pullback.map _ _ _ _ ?_ (𝟙 _) (𝟙 _) ?_ ?_
· exact (pullbackSymmetry _ _).hom ≫
pullback.map _ _ _ _ (𝟙 _) s.snd f (Category.id_comp _).symm s.condition
· simpa using pullback.condition
· simp only [Category.comp_id, Category.id_comp]
#align algebraic_geometry.Scheme.pullback.glued_lift_pullback_map AlgebraicGeometry.Scheme.Pullback.gluedLiftPullbackMap
@[reassoc]
theorem gluedLiftPullbackMap_fst (i j : 𝒰.J) :
gluedLiftPullbackMap 𝒰 f g s i j ≫ pullback.fst =
pullback.fst ≫
(pullbackSymmetry _ _).hom ≫
pullback.map _ _ _ _ (𝟙 _) s.snd f (Category.id_comp _).symm s.condition := by
simp [gluedLiftPullbackMap]
#align algebraic_geometry.Scheme.pullback.glued_lift_pullback_map_fst AlgebraicGeometry.Scheme.Pullback.gluedLiftPullbackMap_fst
@[reassoc]
theorem gluedLiftPullbackMap_snd (i j : 𝒰.J) :
gluedLiftPullbackMap 𝒰 f g s i j ≫ pullback.snd = pullback.snd ≫ pullback.snd := by
simp [gluedLiftPullbackMap]
#align algebraic_geometry.Scheme.pullback.glued_lift_pullback_map_snd AlgebraicGeometry.Scheme.Pullback.gluedLiftPullbackMap_snd
/-- The lifted map `s.X ⟶ (gluing 𝒰 f g).glued` in order to show that `(gluing 𝒰 f g).glued` is
indeed the pullback.
Given a pullback cone `s`, we have the maps `s.fst ⁻¹' Uᵢ ⟶ Uᵢ` and
`s.fst ⁻¹' Uᵢ ⟶ s.X ⟶ Y` that we may lift to a map `s.fst ⁻¹' Uᵢ ⟶ Uᵢ ×[Z] Y`.
to glue these into a map `s.X ⟶ Uᵢ ×[Z] Y`, we need to show that the maps agree on
`(s.fst ⁻¹' Uᵢ) ×[s.X] (s.fst ⁻¹' Uⱼ) ⟶ Uᵢ ×[Z] Y`. This is achieved by showing that both of these
maps factors through `gluedLiftPullbackMap`.
-/
def gluedLift : s.pt ⟶ (gluing 𝒰 f g).glued := by
fapply (𝒰.pullbackCover s.fst).glueMorphisms
· exact fun i ↦ (pullbackSymmetry _ _).hom ≫
pullback.map _ _ _ _ (𝟙 _) s.snd f (Category.id_comp _).symm s.condition ≫ (gluing 𝒰 f g).ι i
intro i j
rw [← gluedLiftPullbackMap_fst_assoc, ← gluing_f, ← (gluing 𝒰 f g).glue_condition i j,
gluing_t, gluing_f]
simp_rw [← Category.assoc]
congr 1
apply pullback.hom_ext <;> simp_rw [Category.assoc]
· rw [t_fst_fst, gluedLiftPullbackMap_snd]
congr 1
rw [← Iso.inv_comp_eq, pullbackSymmetry_inv_comp_snd, pullback.lift_fst, Category.comp_id]
· rw [t_fst_snd, gluedLiftPullbackMap_fst_assoc, pullback.lift_snd, pullback.lift_snd]
simp_rw [pullbackSymmetry_hom_comp_snd_assoc]
exact pullback.condition_assoc _
#align algebraic_geometry.Scheme.pullback.glued_lift AlgebraicGeometry.Scheme.Pullback.gluedLift
| Mathlib/AlgebraicGeometry/Pullbacks.lean | 314 | 320 | theorem gluedLift_p1 : gluedLift 𝒰 f g s ≫ p1 𝒰 f g = s.fst := by |
rw [← cancel_epi (𝒰.pullbackCover s.fst).fromGlued]
apply Multicoequalizer.hom_ext
intro b
simp_rw [OpenCover.fromGlued, Multicoequalizer.π_desc_assoc, gluedLift, ← Category.assoc]
simp_rw [(𝒰.pullbackCover s.fst).ι_glueMorphisms]
simp [p1, pullback.condition]
|
/-
Copyright (c) 2018 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Johannes Hölzl, Yaël Dillies
-/
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"
/-!
# Normed (semi)groups
In this file we define 10 classes:
* `Norm`, `NNNorm`: auxiliary classes endowing a type `α` with a function `norm : α → ℝ`
(notation: `‖x‖`) and `nnnorm : α → ℝ≥0` (notation: `‖x‖₊`), respectively;
* `Seminormed...Group`: A seminormed (additive) (commutative) group is an (additive) (commutative)
group with a norm and a compatible pseudometric space structure:
`∀ x y, dist x y = ‖x / y‖` or `∀ x y, dist x y = ‖x - y‖`, depending on the group operation.
* `Normed...Group`: A normed (additive) (commutative) group is an (additive) (commutative) group
with a norm and a compatible metric space structure.
We also prove basic properties of (semi)normed groups and provide some instances.
## TODO
This file is huge; move material into separate files,
such as `Mathlib/Analysis/Normed/Group/Lemmas.lean`.
## Notes
The current convention `dist x y = ‖x - y‖` means that the distance is invariant under right
addition, but actions in mathlib are usually from the left. This means we might want to change it to
`dist x y = ‖-x + y‖`.
The normed group hierarchy would lend itself well to a mixin design (that is, having
`SeminormedGroup` and `SeminormedAddGroup` not extend `Group` and `AddGroup`), but we choose not
to for performance concerns.
## Tags
normed group
-/
variable {𝓕 𝕜 α ι κ E F G : Type*}
open Filter Function Metric Bornology
open ENNReal Filter NNReal Uniformity Pointwise Topology
/-- Auxiliary class, endowing a type `E` with a function `norm : E → ℝ` with notation `‖x‖`. This
class is designed to be extended in more interesting classes specifying the properties of the norm.
-/
@[notation_class]
class Norm (E : Type*) where
/-- the `ℝ`-valued norm function. -/
norm : E → ℝ
#align has_norm Norm
/-- Auxiliary class, endowing a type `α` with a function `nnnorm : α → ℝ≥0` with notation `‖x‖₊`. -/
@[notation_class]
class NNNorm (E : Type*) where
/-- the `ℝ≥0`-valued norm function. -/
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
/-- A seminormed group is an additive group endowed with a norm for which `dist x y = ‖x - y‖`
defines a pseudometric space structure. -/
class SeminormedAddGroup (E : Type*) extends Norm E, AddGroup E, PseudoMetricSpace E where
dist := fun x y => ‖x - y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align seminormed_add_group SeminormedAddGroup
/-- A seminormed group is a group endowed with a norm for which `dist x y = ‖x / y‖` defines a
pseudometric space structure. -/
@[to_additive]
class SeminormedGroup (E : Type*) extends Norm E, Group E, PseudoMetricSpace E where
dist := fun x y => ‖x / y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align seminormed_group SeminormedGroup
/-- A normed group is an additive group endowed with a norm for which `dist x y = ‖x - y‖` defines a
metric space structure. -/
class NormedAddGroup (E : Type*) extends Norm E, AddGroup E, MetricSpace E where
dist := fun x y => ‖x - y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align normed_add_group NormedAddGroup
/-- A normed group is a group endowed with a norm for which `dist x y = ‖x / y‖` defines a metric
space structure. -/
@[to_additive]
class NormedGroup (E : Type*) extends Norm E, Group E, MetricSpace E where
dist := fun x y => ‖x / y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align normed_group NormedGroup
/-- A seminormed group is an additive group endowed with a norm for which `dist x y = ‖x - y‖`
defines a pseudometric space structure. -/
class SeminormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E,
PseudoMetricSpace E where
dist := fun x y => ‖x - y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align seminormed_add_comm_group SeminormedAddCommGroup
/-- A seminormed group is a group endowed with a norm for which `dist x y = ‖x / y‖`
defines a pseudometric space structure. -/
@[to_additive]
class SeminormedCommGroup (E : Type*) extends Norm E, CommGroup E, PseudoMetricSpace E where
dist := fun x y => ‖x / y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop
#align seminormed_comm_group SeminormedCommGroup
/-- A normed group is an additive group endowed with a norm for which `dist x y = ‖x - y‖` defines a
metric space structure. -/
class NormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, MetricSpace E where
dist := fun x y => ‖x - y‖
/-- The distance function is induced by the norm. -/
dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop
#align normed_add_comm_group NormedAddCommGroup
/-- A normed group is a group endowed with a norm for which `dist x y = ‖x / y‖` defines a metric
space structure. -/
@[to_additive]
class NormedCommGroup (E : Type*) extends Norm E, CommGroup E, MetricSpace E where
dist := fun x y => ‖x / y‖
/-- The distance function is induced by the norm. -/
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]
/-- Construct a `NormedGroup` from a `SeminormedGroup` satisfying `∀ x, ‖x‖ = 0 → x = 1`. This
avoids having to go back to the `(Pseudo)MetricSpace` level when declaring a `NormedGroup`
instance as a special case of a more general `SeminormedGroup` instance. -/
@[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]
/-- Construct a `NormedCommGroup` from a `SeminormedCommGroup` satisfying
`∀ x, ‖x‖ = 0 → x = 1`. This avoids having to go back to the `(Pseudo)MetricSpace` level when
declaring a `NormedCommGroup` instance as a special case of a more general `SeminormedCommGroup`
instance. -/
@[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]
/-- Construct a seminormed group from a multiplication-invariant distance. -/
@[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]
/-- Construct a seminormed group from a multiplication-invariant pseudodistance. -/
@[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]
/-- Construct a seminormed group from a multiplication-invariant pseudodistance. -/
@[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]
/-- Construct a seminormed group from a multiplication-invariant pseudodistance. -/
@[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]
/-- Construct a normed group from a multiplication-invariant distance. -/
@[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]
/-- Construct a normed group from a multiplication-invariant pseudodistance. -/
@[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]
/-- Construct a normed group from a multiplication-invariant pseudodistance. -/
@[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]
/-- Construct a normed group from a multiplication-invariant pseudodistance. -/
@[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]
/-- 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`). -/
@[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]
/-- 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`). -/
@[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]
/-- 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`). -/
@[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]
/-- 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`). -/
@[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']
/-- In a (semi)normed group, inversion `x ↦ x⁻¹` tends to infinity at infinity. -/
@[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
/-- **Triangle inequality** for the norm. -/
@[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
namespace Mathlib.Meta.Positivity
open Lean Meta Qq Function
/-- Extension for the `positivity` tactic: multiplicative norms are nonnegative, via
`norm_nonneg'`. -/
@[positivity Norm.norm _]
def evalMulNorm : PositivityExt where eval {u α} _zα _pα e := do
match u, α, e with
| 0, ~q(ℝ), ~q(@Norm.norm $β $instDist $a) =>
let _inst ← synthInstanceQ q(SeminormedGroup $β)
assertInstancesCommute
pure (.nonnegative q(norm_nonneg' $a))
| _, _, _ => throwError "not ‖ · ‖"
/-- Extension for the `positivity` tactic: additive norms are nonnegative, via `norm_nonneg`. -/
@[positivity Norm.norm _]
def evalAddNorm : PositivityExt where eval {u α} _zα _pα e := do
match u, α, e with
| 0, ~q(ℝ), ~q(@Norm.norm $β $instDist $a) =>
let _inst ← synthInstanceQ q(SeminormedAddGroup $β)
assertInstancesCommute
pure (.nonnegative q(norm_nonneg $a))
| _, _, _ => throwError "not ‖ · ‖"
end Mathlib.Meta.Positivity
@[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)
/-- The norm of a seminormed group as a group seminorm. -/
@[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]
/-- 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`. -/
@[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
/-- 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‖`. -/
@[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
section NNNorm
-- See note [lower instance priority]
@[to_additive]
instance (priority := 100) SeminormedGroup.toNNNorm : NNNorm E :=
⟨fun a => ⟨‖a‖, norm_nonneg' a⟩⟩
#align seminormed_group.to_has_nnnorm SeminormedGroup.toNNNorm
#align seminormed_add_group.to_has_nnnorm SeminormedAddGroup.toNNNorm
@[to_additive (attr := simp, norm_cast) coe_nnnorm]
theorem coe_nnnorm' (a : E) : (‖a‖₊ : ℝ) = ‖a‖ :=
rfl
#align coe_nnnorm' coe_nnnorm'
#align coe_nnnorm coe_nnnorm
@[to_additive (attr := simp) coe_comp_nnnorm]
theorem coe_comp_nnnorm' : (toReal : ℝ≥0 → ℝ) ∘ (nnnorm : E → ℝ≥0) = norm :=
rfl
#align coe_comp_nnnorm' coe_comp_nnnorm'
#align coe_comp_nnnorm coe_comp_nnnorm
@[to_additive norm_toNNReal]
theorem norm_toNNReal' : ‖a‖.toNNReal = ‖a‖₊ :=
@Real.toNNReal_coe ‖a‖₊
#align norm_to_nnreal' norm_toNNReal'
#align norm_to_nnreal norm_toNNReal
@[to_additive]
theorem nndist_eq_nnnorm_div (a b : E) : nndist a b = ‖a / b‖₊ :=
NNReal.eq <| dist_eq_norm_div _ _
#align nndist_eq_nnnorm_div nndist_eq_nnnorm_div
#align nndist_eq_nnnorm_sub nndist_eq_nnnorm_sub
alias nndist_eq_nnnorm := nndist_eq_nnnorm_sub
#align nndist_eq_nnnorm nndist_eq_nnnorm
@[to_additive (attr := simp) nnnorm_zero]
theorem nnnorm_one' : ‖(1 : E)‖₊ = 0 :=
NNReal.eq norm_one'
#align nnnorm_one' nnnorm_one'
#align nnnorm_zero nnnorm_zero
@[to_additive]
theorem ne_one_of_nnnorm_ne_zero {a : E} : ‖a‖₊ ≠ 0 → a ≠ 1 :=
mt <| by
rintro rfl
exact nnnorm_one'
#align ne_one_of_nnnorm_ne_zero ne_one_of_nnnorm_ne_zero
#align ne_zero_of_nnnorm_ne_zero ne_zero_of_nnnorm_ne_zero
@[to_additive nnnorm_add_le]
theorem nnnorm_mul_le' (a b : E) : ‖a * b‖₊ ≤ ‖a‖₊ + ‖b‖₊ :=
NNReal.coe_le_coe.1 <| norm_mul_le' a b
#align nnnorm_mul_le' nnnorm_mul_le'
#align nnnorm_add_le nnnorm_add_le
@[to_additive (attr := simp) nnnorm_neg]
theorem nnnorm_inv' (a : E) : ‖a⁻¹‖₊ = ‖a‖₊ :=
NNReal.eq <| norm_inv' a
#align nnnorm_inv' nnnorm_inv'
#align nnnorm_neg nnnorm_neg
open scoped symmDiff in
@[to_additive]
theorem nndist_mulIndicator (s t : Set α) (f : α → E) (x : α) :
nndist (s.mulIndicator f x) (t.mulIndicator f x) = ‖(s ∆ t).mulIndicator f x‖₊ :=
NNReal.eq <| dist_mulIndicator s t f x
@[to_additive]
theorem nnnorm_div_le (a b : E) : ‖a / b‖₊ ≤ ‖a‖₊ + ‖b‖₊ :=
NNReal.coe_le_coe.1 <| norm_div_le _ _
#align nnnorm_div_le nnnorm_div_le
#align nnnorm_sub_le nnnorm_sub_le
@[to_additive nndist_nnnorm_nnnorm_le]
theorem nndist_nnnorm_nnnorm_le' (a b : E) : nndist ‖a‖₊ ‖b‖₊ ≤ ‖a / b‖₊ :=
NNReal.coe_le_coe.1 <| dist_norm_norm_le' a b
#align nndist_nnnorm_nnnorm_le' nndist_nnnorm_nnnorm_le'
#align nndist_nnnorm_nnnorm_le nndist_nnnorm_nnnorm_le
@[to_additive]
theorem nnnorm_le_nnnorm_add_nnnorm_div (a b : E) : ‖b‖₊ ≤ ‖a‖₊ + ‖a / b‖₊ :=
norm_le_norm_add_norm_div _ _
#align nnnorm_le_nnnorm_add_nnnorm_div nnnorm_le_nnnorm_add_nnnorm_div
#align nnnorm_le_nnnorm_add_nnnorm_sub nnnorm_le_nnnorm_add_nnnorm_sub
@[to_additive]
theorem nnnorm_le_nnnorm_add_nnnorm_div' (a b : E) : ‖a‖₊ ≤ ‖b‖₊ + ‖a / b‖₊ :=
norm_le_norm_add_norm_div' _ _
#align nnnorm_le_nnnorm_add_nnnorm_div' nnnorm_le_nnnorm_add_nnnorm_div'
#align nnnorm_le_nnnorm_add_nnnorm_sub' nnnorm_le_nnnorm_add_nnnorm_sub'
alias nnnorm_le_insert' := nnnorm_le_nnnorm_add_nnnorm_sub'
#align nnnorm_le_insert' nnnorm_le_insert'
alias nnnorm_le_insert := nnnorm_le_nnnorm_add_nnnorm_sub
#align nnnorm_le_insert nnnorm_le_insert
@[to_additive]
theorem nnnorm_le_mul_nnnorm_add (a b : E) : ‖a‖₊ ≤ ‖a * b‖₊ + ‖b‖₊ :=
norm_le_mul_norm_add _ _
#align nnnorm_le_mul_nnnorm_add nnnorm_le_mul_nnnorm_add
#align nnnorm_le_add_nnnorm_add nnnorm_le_add_nnnorm_add
@[to_additive ofReal_norm_eq_coe_nnnorm]
theorem ofReal_norm_eq_coe_nnnorm' (a : E) : ENNReal.ofReal ‖a‖ = ‖a‖₊ :=
ENNReal.ofReal_eq_coe_nnreal _
#align of_real_norm_eq_coe_nnnorm' ofReal_norm_eq_coe_nnnorm'
#align of_real_norm_eq_coe_nnnorm ofReal_norm_eq_coe_nnnorm
/-- The non negative norm seen as an `ENNReal` and then as a `Real` is equal to the norm. -/
@[to_additive toReal_coe_nnnorm "The non negative norm seen as an `ENNReal` and
then as a `Real` is equal to the norm."]
theorem toReal_coe_nnnorm' (a : E) : (‖a‖₊ : ℝ≥0∞).toReal = ‖a‖ := rfl
@[to_additive]
theorem edist_eq_coe_nnnorm_div (a b : E) : edist a b = ‖a / b‖₊ := by
rw [edist_dist, dist_eq_norm_div, ofReal_norm_eq_coe_nnnorm']
#align edist_eq_coe_nnnorm_div edist_eq_coe_nnnorm_div
#align edist_eq_coe_nnnorm_sub edist_eq_coe_nnnorm_sub
@[to_additive edist_eq_coe_nnnorm]
theorem edist_eq_coe_nnnorm' (x : E) : edist x 1 = (‖x‖₊ : ℝ≥0∞) := by
rw [edist_eq_coe_nnnorm_div, div_one]
#align edist_eq_coe_nnnorm' edist_eq_coe_nnnorm'
#align edist_eq_coe_nnnorm edist_eq_coe_nnnorm
open scoped symmDiff in
@[to_additive]
theorem edist_mulIndicator (s t : Set α) (f : α → E) (x : α) :
edist (s.mulIndicator f x) (t.mulIndicator f x) = ‖(s ∆ t).mulIndicator f x‖₊ := by
rw [edist_nndist, nndist_mulIndicator]
@[to_additive]
theorem mem_emetric_ball_one_iff {r : ℝ≥0∞} : a ∈ EMetric.ball (1 : E) r ↔ ↑‖a‖₊ < r := by
rw [EMetric.mem_ball, edist_eq_coe_nnnorm']
#align mem_emetric_ball_one_iff mem_emetric_ball_one_iff
#align mem_emetric_ball_zero_iff mem_emetric_ball_zero_iff
@[to_additive]
theorem MonoidHomClass.lipschitz_of_bound_nnnorm [MonoidHomClass 𝓕 E F] (f : 𝓕) (C : ℝ≥0)
(h : ∀ x, ‖f x‖₊ ≤ C * ‖x‖₊) : LipschitzWith C f :=
@Real.toNNReal_coe C ▸ MonoidHomClass.lipschitz_of_bound f C h
#align monoid_hom_class.lipschitz_of_bound_nnnorm MonoidHomClass.lipschitz_of_bound_nnnorm
#align add_monoid_hom_class.lipschitz_of_bound_nnnorm AddMonoidHomClass.lipschitz_of_bound_nnnorm
@[to_additive]
theorem MonoidHomClass.antilipschitz_of_bound [MonoidHomClass 𝓕 E F] (f : 𝓕) {K : ℝ≥0}
(h : ∀ x, ‖x‖ ≤ K * ‖f x‖) : AntilipschitzWith K f :=
AntilipschitzWith.of_le_mul_dist fun x y => by
simpa only [dist_eq_norm_div, map_div] using h (x / y)
#align monoid_hom_class.antilipschitz_of_bound MonoidHomClass.antilipschitz_of_bound
#align add_monoid_hom_class.antilipschitz_of_bound AddMonoidHomClass.antilipschitz_of_bound
@[to_additive LipschitzWith.norm_le_mul]
theorem LipschitzWith.norm_le_mul' {f : E → F} {K : ℝ≥0} (h : LipschitzWith K f) (hf : f 1 = 1)
(x) : ‖f x‖ ≤ K * ‖x‖ := by simpa only [dist_one_right, hf] using h.dist_le_mul x 1
#align lipschitz_with.norm_le_mul' LipschitzWith.norm_le_mul'
#align lipschitz_with.norm_le_mul LipschitzWith.norm_le_mul
@[to_additive LipschitzWith.nnorm_le_mul]
theorem LipschitzWith.nnorm_le_mul' {f : E → F} {K : ℝ≥0} (h : LipschitzWith K f) (hf : f 1 = 1)
(x) : ‖f x‖₊ ≤ K * ‖x‖₊ :=
h.norm_le_mul' hf x
#align lipschitz_with.nnorm_le_mul' LipschitzWith.nnorm_le_mul'
#align lipschitz_with.nnorm_le_mul LipschitzWith.nnorm_le_mul
@[to_additive AntilipschitzWith.le_mul_norm]
theorem AntilipschitzWith.le_mul_norm' {f : E → F} {K : ℝ≥0} (h : AntilipschitzWith K f)
(hf : f 1 = 1) (x) : ‖x‖ ≤ K * ‖f x‖ := by
simpa only [dist_one_right, hf] using h.le_mul_dist x 1
#align antilipschitz_with.le_mul_norm' AntilipschitzWith.le_mul_norm'
#align antilipschitz_with.le_mul_norm AntilipschitzWith.le_mul_norm
@[to_additive AntilipschitzWith.le_mul_nnnorm]
theorem AntilipschitzWith.le_mul_nnnorm' {f : E → F} {K : ℝ≥0} (h : AntilipschitzWith K f)
(hf : f 1 = 1) (x) : ‖x‖₊ ≤ K * ‖f x‖₊ :=
h.le_mul_norm' hf x
#align antilipschitz_with.le_mul_nnnorm' AntilipschitzWith.le_mul_nnnorm'
#align antilipschitz_with.le_mul_nnnorm AntilipschitzWith.le_mul_nnnorm
@[to_additive]
theorem OneHomClass.bound_of_antilipschitz [OneHomClass 𝓕 E F] (f : 𝓕) {K : ℝ≥0}
(h : AntilipschitzWith K f) (x) : ‖x‖ ≤ K * ‖f x‖ :=
h.le_mul_nnnorm' (map_one f) x
#align one_hom_class.bound_of_antilipschitz OneHomClass.bound_of_antilipschitz
#align zero_hom_class.bound_of_antilipschitz ZeroHomClass.bound_of_antilipschitz
@[to_additive]
theorem Isometry.nnnorm_map_of_map_one {f : E → F} (hi : Isometry f) (h₁ : f 1 = 1) (x : E) :
‖f x‖₊ = ‖x‖₊ :=
Subtype.ext <| hi.norm_map_of_map_one h₁ x
end NNNorm
@[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
/-- 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 `1` (neutral element of `SeminormedGroup`).
In this pair of lemmas (`squeeze_one_norm'` and `squeeze_one_norm`), following a convention of
similar lemmas in `Topology.MetricSpace.Basic` and `Topology.Algebra.Order`, the `'` version is
phrased using "eventually" and the non-`'` version is phrased absolutely. -/
@[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'
/-- 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 `1`. -/
@[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]
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) _)
#align tendsto_norm_div_self tendsto_norm_div_self
#align tendsto_norm_sub_self tendsto_norm_sub_self
@[to_additive tendsto_norm]
theorem tendsto_norm' {x : E} : Tendsto (fun a => ‖a‖) (𝓝 x) (𝓝 ‖x‖) := by
simpa using tendsto_id.dist (tendsto_const_nhds : Tendsto (fun _a => (1 : E)) _ _)
#align tendsto_norm' tendsto_norm'
#align tendsto_norm tendsto_norm
@[to_additive]
theorem tendsto_norm_one : Tendsto (fun a : E => ‖a‖) (𝓝 1) (𝓝 0) := by
simpa using tendsto_norm_div_self (1 : E)
#align tendsto_norm_one tendsto_norm_one
#align tendsto_norm_zero tendsto_norm_zero
@[to_additive (attr := continuity) continuous_norm]
theorem continuous_norm' : Continuous fun a : E => ‖a‖ := by
simpa using continuous_id.dist (continuous_const : Continuous fun _a => (1 : E))
#align continuous_norm' continuous_norm'
#align continuous_norm continuous_norm
@[to_additive (attr := continuity) continuous_nnnorm]
theorem continuous_nnnorm' : Continuous fun a : E => ‖a‖₊ :=
continuous_norm'.subtype_mk _
#align continuous_nnnorm' continuous_nnnorm'
#align continuous_nnnorm continuous_nnnorm
@[to_additive lipschitzWith_one_norm]
theorem lipschitzWith_one_norm' : LipschitzWith 1 (norm : E → ℝ) := by
simpa only [dist_one_left] using LipschitzWith.dist_right (1 : E)
#align lipschitz_with_one_norm' lipschitzWith_one_norm'
#align lipschitz_with_one_norm lipschitzWith_one_norm
@[to_additive lipschitzWith_one_nnnorm]
theorem lipschitzWith_one_nnnorm' : LipschitzWith 1 (NNNorm.nnnorm : E → ℝ≥0) :=
lipschitzWith_one_norm'
#align lipschitz_with_one_nnnorm' lipschitzWith_one_nnnorm'
#align lipschitz_with_one_nnnorm lipschitzWith_one_nnnorm
@[to_additive uniformContinuous_norm]
theorem uniformContinuous_norm' : UniformContinuous (norm : E → ℝ) :=
lipschitzWith_one_norm'.uniformContinuous
#align uniform_continuous_norm' uniformContinuous_norm'
#align uniform_continuous_norm uniformContinuous_norm
@[to_additive uniformContinuous_nnnorm]
theorem uniformContinuous_nnnorm' : UniformContinuous fun a : E => ‖a‖₊ :=
uniformContinuous_norm'.subtype_mk _
#align uniform_continuous_nnnorm' uniformContinuous_nnnorm'
#align uniform_continuous_nnnorm uniformContinuous_nnnorm
@[to_additive]
theorem mem_closure_one_iff_norm {x : E} : x ∈ closure ({1} : Set E) ↔ ‖x‖ = 0 := by
rw [← closedBall_zero', mem_closedBall_one_iff, (norm_nonneg' x).le_iff_eq]
#align mem_closure_one_iff_norm mem_closure_one_iff_norm
#align mem_closure_zero_iff_norm mem_closure_zero_iff_norm
@[to_additive]
theorem closure_one_eq : closure ({1} : Set E) = { x | ‖x‖ = 0 } :=
Set.ext fun _x => mem_closure_one_iff_norm
#align closure_one_eq closure_one_eq
#align closure_zero_eq closure_zero_eq
/-- A helper lemma used to prove that the (scalar or usual) product of a function that tends to one
and a bounded function tends to one. This lemma is formulated for any binary operation
`op : E → F → G` with an estimate `‖op x y‖ ≤ A * ‖x‖ * ‖y‖` for some constant A instead of
multiplication so that it can be applied to `(*)`, `flip (*)`, `(•)`, and `flip (•)`. -/
@[to_additive "A helper lemma used to prove that the (scalar or usual) product of a function that
tends to zero and a bounded function tends to zero. This lemma is formulated for any binary
operation `op : E → F → G` with an estimate `‖op x y‖ ≤ A * ‖x‖ * ‖y‖` for some constant A instead
of multiplication so that it can be applied to `(*)`, `flip (*)`, `(•)`, and `flip (•)`."]
theorem Filter.Tendsto.op_one_isBoundedUnder_le' {f : α → E} {g : α → F} {l : Filter α}
(hf : Tendsto f l (𝓝 1)) (hg : IsBoundedUnder (· ≤ ·) l (norm ∘ g)) (op : E → F → G)
(h_op : ∃ A, ∀ x y, ‖op x y‖ ≤ A * ‖x‖ * ‖y‖) : Tendsto (fun x => op (f x) (g x)) l (𝓝 1) := by
cases' h_op with A h_op
rcases hg with ⟨C, hC⟩; rw [eventually_map] at hC
rw [NormedCommGroup.tendsto_nhds_one] at hf ⊢
intro ε ε₀
rcases exists_pos_mul_lt ε₀ (A * C) with ⟨δ, δ₀, hδ⟩
filter_upwards [hf δ δ₀, hC] with i hf hg
refine (h_op _ _).trans_lt ?_
rcases le_total A 0 with hA | hA
· exact (mul_nonpos_of_nonpos_of_nonneg (mul_nonpos_of_nonpos_of_nonneg hA <| norm_nonneg' _) <|
norm_nonneg' _).trans_lt ε₀
calc
A * ‖f i‖ * ‖g i‖ ≤ A * δ * C := by gcongr; exact hg
_ = A * C * δ := mul_right_comm _ _ _
_ < ε := hδ
#align filter.tendsto.op_one_is_bounded_under_le' Filter.Tendsto.op_one_isBoundedUnder_le'
#align filter.tendsto.op_zero_is_bounded_under_le' Filter.Tendsto.op_zero_isBoundedUnder_le'
/-- A helper lemma used to prove that the (scalar or usual) product of a function that tends to one
and a bounded function tends to one. This lemma is formulated for any binary operation
`op : E → F → G` with an estimate `‖op x y‖ ≤ ‖x‖ * ‖y‖` instead of multiplication so that it
can be applied to `(*)`, `flip (*)`, `(•)`, and `flip (•)`. -/
@[to_additive "A helper lemma used to prove that the (scalar or usual) product of a function that
tends to zero and a bounded function tends to zero. This lemma is formulated for any binary
operation `op : E → F → G` with an estimate `‖op x y‖ ≤ ‖x‖ * ‖y‖` instead of multiplication so
that it can be applied to `(*)`, `flip (*)`, `(•)`, and `flip (•)`."]
theorem Filter.Tendsto.op_one_isBoundedUnder_le {f : α → E} {g : α → F} {l : Filter α}
(hf : Tendsto f l (𝓝 1)) (hg : IsBoundedUnder (· ≤ ·) l (norm ∘ g)) (op : E → F → G)
(h_op : ∀ x y, ‖op x y‖ ≤ ‖x‖ * ‖y‖) : Tendsto (fun x => op (f x) (g x)) l (𝓝 1) :=
hf.op_one_isBoundedUnder_le' hg op ⟨1, fun x y => (one_mul ‖x‖).symm ▸ h_op x y⟩
#align filter.tendsto.op_one_is_bounded_under_le Filter.Tendsto.op_one_isBoundedUnder_le
#align filter.tendsto.op_zero_is_bounded_under_le Filter.Tendsto.op_zero_isBoundedUnder_le
section
variable {l : Filter α} {f : α → E}
@[to_additive Filter.Tendsto.norm]
theorem Filter.Tendsto.norm' (h : Tendsto f l (𝓝 a)) : Tendsto (fun x => ‖f x‖) l (𝓝 ‖a‖) :=
tendsto_norm'.comp h
#align filter.tendsto.norm' Filter.Tendsto.norm'
#align filter.tendsto.norm Filter.Tendsto.norm
@[to_additive Filter.Tendsto.nnnorm]
theorem Filter.Tendsto.nnnorm' (h : Tendsto f l (𝓝 a)) : Tendsto (fun x => ‖f x‖₊) l (𝓝 ‖a‖₊) :=
Tendsto.comp continuous_nnnorm'.continuousAt h
#align filter.tendsto.nnnorm' Filter.Tendsto.nnnorm'
#align filter.tendsto.nnnorm Filter.Tendsto.nnnorm
end
section
variable [TopologicalSpace α] {f : α → E}
@[to_additive (attr := fun_prop) Continuous.norm]
theorem Continuous.norm' : Continuous f → Continuous fun x => ‖f x‖ :=
continuous_norm'.comp
#align continuous.norm' Continuous.norm'
#align continuous.norm Continuous.norm
@[to_additive (attr := fun_prop) Continuous.nnnorm]
theorem Continuous.nnnorm' : Continuous f → Continuous fun x => ‖f x‖₊ :=
continuous_nnnorm'.comp
#align continuous.nnnorm' Continuous.nnnorm'
#align continuous.nnnorm Continuous.nnnorm
@[to_additive (attr := fun_prop) ContinuousAt.norm]
theorem ContinuousAt.norm' {a : α} (h : ContinuousAt f a) : ContinuousAt (fun x => ‖f x‖) a :=
Tendsto.norm' h
#align continuous_at.norm' ContinuousAt.norm'
#align continuous_at.norm ContinuousAt.norm
@[to_additive (attr := fun_prop) ContinuousAt.nnnorm]
theorem ContinuousAt.nnnorm' {a : α} (h : ContinuousAt f a) : ContinuousAt (fun x => ‖f x‖₊) a :=
Tendsto.nnnorm' h
#align continuous_at.nnnorm' ContinuousAt.nnnorm'
#align continuous_at.nnnorm ContinuousAt.nnnorm
@[to_additive ContinuousWithinAt.norm]
theorem ContinuousWithinAt.norm' {s : Set α} {a : α} (h : ContinuousWithinAt f s a) :
ContinuousWithinAt (fun x => ‖f x‖) s a :=
Tendsto.norm' h
#align continuous_within_at.norm' ContinuousWithinAt.norm'
#align continuous_within_at.norm ContinuousWithinAt.norm
@[to_additive ContinuousWithinAt.nnnorm]
theorem ContinuousWithinAt.nnnorm' {s : Set α} {a : α} (h : ContinuousWithinAt f s a) :
ContinuousWithinAt (fun x => ‖f x‖₊) s a :=
Tendsto.nnnorm' h
#align continuous_within_at.nnnorm' ContinuousWithinAt.nnnorm'
#align continuous_within_at.nnnorm ContinuousWithinAt.nnnorm
@[to_additive (attr := fun_prop) ContinuousOn.norm]
theorem ContinuousOn.norm' {s : Set α} (h : ContinuousOn f s) : ContinuousOn (fun x => ‖f x‖) s :=
fun x hx => (h x hx).norm'
#align continuous_on.norm' ContinuousOn.norm'
#align continuous_on.norm ContinuousOn.norm
@[to_additive (attr := fun_prop) ContinuousOn.nnnorm]
theorem ContinuousOn.nnnorm' {s : Set α} (h : ContinuousOn f s) :
ContinuousOn (fun x => ‖f x‖₊) s := fun x hx => (h x hx).nnnorm'
#align continuous_on.nnnorm' ContinuousOn.nnnorm'
#align continuous_on.nnnorm ContinuousOn.nnnorm
end
/-- If `‖y‖ → ∞`, then we can assume `y ≠ x` for any fixed `x`. -/
@[to_additive eventually_ne_of_tendsto_norm_atTop "If `‖y‖→∞`, then we can assume `y≠x` for any
fixed `x`"]
theorem eventually_ne_of_tendsto_norm_atTop' {l : Filter α} {f : α → E}
(h : Tendsto (fun y => ‖f y‖) l atTop) (x : E) : ∀ᶠ y in l, f y ≠ x :=
(h.eventually_ne_atTop _).mono fun _x => ne_of_apply_ne norm
#align eventually_ne_of_tendsto_norm_at_top' eventually_ne_of_tendsto_norm_atTop'
#align eventually_ne_of_tendsto_norm_at_top eventually_ne_of_tendsto_norm_atTop
@[to_additive]
theorem SeminormedCommGroup.mem_closure_iff :
a ∈ closure s ↔ ∀ ε, 0 < ε → ∃ b ∈ s, ‖a / b‖ < ε := by
simp [Metric.mem_closure_iff, dist_eq_norm_div]
#align seminormed_comm_group.mem_closure_iff SeminormedCommGroup.mem_closure_iff
#align seminormed_add_comm_group.mem_closure_iff SeminormedAddCommGroup.mem_closure_iff
@[to_additive norm_le_zero_iff']
theorem norm_le_zero_iff''' [T0Space E] {a : E} : ‖a‖ ≤ 0 ↔ a = 1 := by
letI : NormedGroup E :=
{ ‹SeminormedGroup E› with toMetricSpace := MetricSpace.ofT0PseudoMetricSpace E }
rw [← dist_one_right, dist_le_zero]
#align norm_le_zero_iff''' norm_le_zero_iff'''
#align norm_le_zero_iff' norm_le_zero_iff'
@[to_additive norm_eq_zero']
theorem norm_eq_zero''' [T0Space E] {a : E} : ‖a‖ = 0 ↔ a = 1 :=
(norm_nonneg' a).le_iff_eq.symm.trans norm_le_zero_iff'''
#align norm_eq_zero''' norm_eq_zero'''
#align norm_eq_zero' norm_eq_zero'
@[to_additive norm_pos_iff']
theorem norm_pos_iff''' [T0Space E] {a : E} : 0 < ‖a‖ ↔ a ≠ 1 := by
rw [← not_le, norm_le_zero_iff''']
#align norm_pos_iff''' norm_pos_iff'''
#align norm_pos_iff' norm_pos_iff'
@[to_additive]
theorem SeminormedGroup.tendstoUniformlyOn_one {f : ι → κ → G} {s : Set κ} {l : Filter ι} :
TendstoUniformlyOn f 1 l s ↔ ∀ ε > 0, ∀ᶠ i in l, ∀ x ∈ s, ‖f i x‖ < ε := by
#adaptation_note /-- nightly-2024-03-11.
Originally this was `simp_rw` instead of `simp only`,
but this creates a bad proof term with nested `OfNat.ofNat` that trips up `@[to_additive]`. -/
simp only [tendstoUniformlyOn_iff, Pi.one_apply, dist_one_left]
#align seminormed_group.tendsto_uniformly_on_one SeminormedGroup.tendstoUniformlyOn_one
#align seminormed_add_group.tendsto_uniformly_on_zero SeminormedAddGroup.tendstoUniformlyOn_zero
@[to_additive]
theorem SeminormedGroup.uniformCauchySeqOnFilter_iff_tendstoUniformlyOnFilter_one {f : ι → κ → G}
{l : Filter ι} {l' : Filter κ} :
UniformCauchySeqOnFilter f l l' ↔
TendstoUniformlyOnFilter (fun n : ι × ι => fun z => f n.fst z / f n.snd z) 1 (l ×ˢ l) l' := by
refine ⟨fun hf u hu => ?_, fun hf u hu => ?_⟩
· obtain ⟨ε, hε, H⟩ := uniformity_basis_dist.mem_uniformity_iff.mp hu
refine
(hf { p : G × G | dist p.fst p.snd < ε } <| dist_mem_uniformity hε).mono fun x hx =>
H 1 (f x.fst.fst x.snd / f x.fst.snd x.snd) ?_
simpa [dist_eq_norm_div, norm_div_rev] using hx
· obtain ⟨ε, hε, H⟩ := uniformity_basis_dist.mem_uniformity_iff.mp hu
refine
(hf { p : G × G | dist p.fst p.snd < ε } <| dist_mem_uniformity hε).mono fun x hx =>
H (f x.fst.fst x.snd) (f x.fst.snd x.snd) ?_
simpa [dist_eq_norm_div, norm_div_rev] using hx
#align seminormed_group.uniform_cauchy_seq_on_filter_iff_tendsto_uniformly_on_filter_one SeminormedGroup.uniformCauchySeqOnFilter_iff_tendstoUniformlyOnFilter_one
#align seminormed_add_group.uniform_cauchy_seq_on_filter_iff_tendsto_uniformly_on_filter_zero SeminormedAddGroup.uniformCauchySeqOnFilter_iff_tendstoUniformlyOnFilter_zero
@[to_additive]
theorem SeminormedGroup.uniformCauchySeqOn_iff_tendstoUniformlyOn_one {f : ι → κ → G} {s : Set κ}
{l : Filter ι} :
UniformCauchySeqOn f l s ↔
TendstoUniformlyOn (fun n : ι × ι => fun z => f n.fst z / f n.snd z) 1 (l ×ˢ l) s := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter,
uniformCauchySeqOn_iff_uniformCauchySeqOnFilter,
SeminormedGroup.uniformCauchySeqOnFilter_iff_tendstoUniformlyOnFilter_one]
#align seminormed_group.uniform_cauchy_seq_on_iff_tendsto_uniformly_on_one SeminormedGroup.uniformCauchySeqOn_iff_tendstoUniformlyOn_one
#align seminormed_add_group.uniform_cauchy_seq_on_iff_tendsto_uniformly_on_zero SeminormedAddGroup.uniformCauchySeqOn_iff_tendstoUniformlyOn_zero
end SeminormedGroup
section Induced
variable (E F)
variable [FunLike 𝓕 E F]
-- See note [reducible non-instances]
/-- A group homomorphism from a `Group` to a `SeminormedGroup` induces a `SeminormedGroup`
structure on the domain. -/
@[to_additive (attr := reducible) "A group homomorphism from an `AddGroup` to a
`SeminormedAddGroup` induces a `SeminormedAddGroup` structure on the domain."]
def SeminormedGroup.induced [Group E] [SeminormedGroup F] [MonoidHomClass 𝓕 E F] (f : 𝓕) :
SeminormedGroup E :=
{ PseudoMetricSpace.induced f toPseudoMetricSpace with
-- Porting note: needed to add the instance explicitly, and `‹PseudoMetricSpace F›` failed
norm := fun x => ‖f x‖
dist_eq := fun x y => by simp only [map_div, ← dist_eq_norm_div]; rfl }
#align seminormed_group.induced SeminormedGroup.induced
#align seminormed_add_group.induced SeminormedAddGroup.induced
-- See note [reducible non-instances]
/-- A group homomorphism from a `CommGroup` to a `SeminormedGroup` induces a
`SeminormedCommGroup` structure on the domain. -/
@[to_additive (attr := reducible) "A group homomorphism from an `AddCommGroup` to a
`SeminormedAddGroup` induces a `SeminormedAddCommGroup` structure on the domain."]
def SeminormedCommGroup.induced
[CommGroup E] [SeminormedGroup F] [MonoidHomClass 𝓕 E F] (f : 𝓕) :
SeminormedCommGroup E :=
{ SeminormedGroup.induced E F f with
mul_comm := mul_comm }
#align seminormed_comm_group.induced SeminormedCommGroup.induced
#align seminormed_add_comm_group.induced SeminormedAddCommGroup.induced
-- See note [reducible non-instances].
/-- An injective group homomorphism from a `Group` to a `NormedGroup` induces a `NormedGroup`
structure on the domain. -/
@[to_additive (attr := reducible) "An injective group homomorphism from an `AddGroup` to a
`NormedAddGroup` induces a `NormedAddGroup` structure on the domain."]
def NormedGroup.induced
[Group E] [NormedGroup F] [MonoidHomClass 𝓕 E F] (f : 𝓕) (h : Injective f) :
NormedGroup E :=
{ SeminormedGroup.induced E F f, MetricSpace.induced f h _ with }
#align normed_group.induced NormedGroup.induced
#align normed_add_group.induced NormedAddGroup.induced
-- See note [reducible non-instances].
/-- An injective group homomorphism from a `CommGroup` to a `NormedGroup` induces a
`NormedCommGroup` structure on the domain. -/
@[to_additive (attr := reducible) "An injective group homomorphism from a `CommGroup` to a
`NormedCommGroup` induces a `NormedCommGroup` structure on the domain."]
def NormedCommGroup.induced [CommGroup E] [NormedGroup F] [MonoidHomClass 𝓕 E F] (f : 𝓕)
(h : Injective f) : NormedCommGroup E :=
{ SeminormedGroup.induced E F f, MetricSpace.induced f h _ with
mul_comm := mul_comm }
#align normed_comm_group.induced NormedCommGroup.induced
#align normed_add_comm_group.induced NormedAddCommGroup.induced
end Induced
section SeminormedCommGroup
variable [SeminormedCommGroup E] [SeminormedCommGroup F] {a a₁ a₂ b b₁ b₂ : E} {r r₁ r₂ : ℝ}
@[to_additive]
instance NormedGroup.to_isometricSMul_left : IsometricSMul E E :=
⟨fun a => Isometry.of_dist_eq fun b c => by simp [dist_eq_norm_div]⟩
#align normed_group.to_has_isometric_smul_left NormedGroup.to_isometricSMul_left
#align normed_add_group.to_has_isometric_vadd_left NormedAddGroup.to_isometricVAdd_left
@[to_additive]
theorem dist_inv (x y : E) : dist x⁻¹ y = dist x y⁻¹ := by
simp_rw [dist_eq_norm_div, ← norm_inv' (x⁻¹ / y), inv_div, div_inv_eq_mul, mul_comm]
#align dist_inv dist_inv
#align dist_neg dist_neg
@[to_additive (attr := simp)]
theorem dist_self_mul_right (a b : E) : dist a (a * b) = ‖b‖ := by
rw [← dist_one_left, ← dist_mul_left a 1 b, mul_one]
#align dist_self_mul_right dist_self_mul_right
#align dist_self_add_right dist_self_add_right
@[to_additive (attr := simp)]
theorem dist_self_mul_left (a b : E) : dist (a * b) a = ‖b‖ := by
rw [dist_comm, dist_self_mul_right]
#align dist_self_mul_left dist_self_mul_left
#align dist_self_add_left dist_self_add_left
@[to_additive (attr := simp 1001)]
-- porting note (#10618): increase priority because `simp` can prove this
theorem dist_self_div_right (a b : E) : dist a (a / b) = ‖b‖ := by
rw [div_eq_mul_inv, dist_self_mul_right, norm_inv']
#align dist_self_div_right dist_self_div_right
#align dist_self_sub_right dist_self_sub_right
@[to_additive (attr := simp 1001)]
-- porting note (#10618): increase priority because `simp` can prove this
theorem dist_self_div_left (a b : E) : dist (a / b) a = ‖b‖ := by
rw [dist_comm, dist_self_div_right]
#align dist_self_div_left dist_self_div_left
#align dist_self_sub_left dist_self_sub_left
@[to_additive]
theorem dist_mul_mul_le (a₁ a₂ b₁ b₂ : E) : dist (a₁ * a₂) (b₁ * b₂) ≤ dist a₁ b₁ + dist a₂ b₂ := by
simpa only [dist_mul_left, dist_mul_right] using dist_triangle (a₁ * a₂) (b₁ * a₂) (b₁ * b₂)
#align dist_mul_mul_le dist_mul_mul_le
#align dist_add_add_le dist_add_add_le
@[to_additive]
theorem dist_mul_mul_le_of_le (h₁ : dist a₁ b₁ ≤ r₁) (h₂ : dist a₂ b₂ ≤ r₂) :
dist (a₁ * a₂) (b₁ * b₂) ≤ r₁ + r₂ :=
(dist_mul_mul_le a₁ a₂ b₁ b₂).trans <| add_le_add h₁ h₂
#align dist_mul_mul_le_of_le dist_mul_mul_le_of_le
#align dist_add_add_le_of_le dist_add_add_le_of_le
@[to_additive]
theorem dist_div_div_le (a₁ a₂ b₁ b₂ : E) : dist (a₁ / a₂) (b₁ / b₂) ≤ dist a₁ b₁ + dist a₂ b₂ := by
simpa only [div_eq_mul_inv, dist_inv_inv] using dist_mul_mul_le a₁ a₂⁻¹ b₁ b₂⁻¹
#align dist_div_div_le dist_div_div_le
#align dist_sub_sub_le dist_sub_sub_le
@[to_additive]
theorem dist_div_div_le_of_le (h₁ : dist a₁ b₁ ≤ r₁) (h₂ : dist a₂ b₂ ≤ r₂) :
dist (a₁ / a₂) (b₁ / b₂) ≤ r₁ + r₂ :=
(dist_div_div_le a₁ a₂ b₁ b₂).trans <| add_le_add h₁ h₂
#align dist_div_div_le_of_le dist_div_div_le_of_le
#align dist_sub_sub_le_of_le dist_sub_sub_le_of_le
@[to_additive]
theorem abs_dist_sub_le_dist_mul_mul (a₁ a₂ b₁ b₂ : E) :
|dist a₁ b₁ - dist a₂ b₂| ≤ dist (a₁ * a₂) (b₁ * b₂) := by
simpa only [dist_mul_left, dist_mul_right, dist_comm b₂] using
abs_dist_sub_le (a₁ * a₂) (b₁ * b₂) (b₁ * a₂)
#align abs_dist_sub_le_dist_mul_mul abs_dist_sub_le_dist_mul_mul
#align abs_dist_sub_le_dist_add_add abs_dist_sub_le_dist_add_add
theorem norm_multiset_sum_le {E} [SeminormedAddCommGroup E] (m : Multiset E) :
‖m.sum‖ ≤ (m.map fun x => ‖x‖).sum :=
m.le_sum_of_subadditive norm norm_zero norm_add_le
#align norm_multiset_sum_le norm_multiset_sum_le
@[to_additive existing]
theorem norm_multiset_prod_le (m : Multiset E) : ‖m.prod‖ ≤ (m.map fun x => ‖x‖).sum := by
rw [← Multiplicative.ofAdd_le, ofAdd_multiset_prod, Multiset.map_map]
refine Multiset.le_prod_of_submultiplicative (Multiplicative.ofAdd ∘ norm) ?_ (fun x y => ?_) _
· simp only [comp_apply, norm_one', ofAdd_zero]
· exact norm_mul_le' x y
#align norm_multiset_prod_le norm_multiset_prod_le
-- Porting note: had to add `ι` here because otherwise the universe order gets switched compared to
-- `norm_prod_le` below
theorem norm_sum_le {ι E} [SeminormedAddCommGroup E] (s : Finset ι) (f : ι → E) :
‖∑ i ∈ s, f i‖ ≤ ∑ i ∈ s, ‖f i‖ :=
s.le_sum_of_subadditive norm norm_zero norm_add_le f
#align norm_sum_le norm_sum_le
@[to_additive existing]
theorem norm_prod_le (s : Finset ι) (f : ι → E) : ‖∏ i ∈ s, f i‖ ≤ ∑ i ∈ s, ‖f i‖ := by
rw [← Multiplicative.ofAdd_le, ofAdd_sum]
refine Finset.le_prod_of_submultiplicative (Multiplicative.ofAdd ∘ norm) ?_ (fun x y => ?_) _ _
· simp only [comp_apply, norm_one', ofAdd_zero]
· exact norm_mul_le' x y
#align norm_prod_le norm_prod_le
@[to_additive]
theorem norm_prod_le_of_le (s : Finset ι) {f : ι → E} {n : ι → ℝ} (h : ∀ b ∈ s, ‖f b‖ ≤ n b) :
‖∏ b ∈ s, f b‖ ≤ ∑ b ∈ s, n b :=
(norm_prod_le s f).trans <| Finset.sum_le_sum h
#align norm_prod_le_of_le norm_prod_le_of_le
#align norm_sum_le_of_le norm_sum_le_of_le
@[to_additive]
theorem dist_prod_prod_le_of_le (s : Finset ι) {f a : ι → E} {d : ι → ℝ}
(h : ∀ b ∈ s, dist (f b) (a b) ≤ d b) :
dist (∏ b ∈ s, f b) (∏ b ∈ s, a b) ≤ ∑ b ∈ s, d b := by
simp only [dist_eq_norm_div, ← Finset.prod_div_distrib] at *
exact norm_prod_le_of_le s h
#align dist_prod_prod_le_of_le dist_prod_prod_le_of_le
#align dist_sum_sum_le_of_le dist_sum_sum_le_of_le
@[to_additive]
theorem dist_prod_prod_le (s : Finset ι) (f a : ι → E) :
dist (∏ b ∈ s, f b) (∏ b ∈ s, a b) ≤ ∑ b ∈ s, dist (f b) (a b) :=
dist_prod_prod_le_of_le s fun _ _ => le_rfl
#align dist_prod_prod_le dist_prod_prod_le
#align dist_sum_sum_le dist_sum_sum_le
@[to_additive]
theorem mul_mem_ball_iff_norm : a * b ∈ ball a r ↔ ‖b‖ < r := by
rw [mem_ball_iff_norm'', mul_div_cancel_left]
#align mul_mem_ball_iff_norm mul_mem_ball_iff_norm
#align add_mem_ball_iff_norm add_mem_ball_iff_norm
@[to_additive]
theorem mul_mem_closedBall_iff_norm : a * b ∈ closedBall a r ↔ ‖b‖ ≤ r := by
rw [mem_closedBall_iff_norm'', mul_div_cancel_left]
#align mul_mem_closed_ball_iff_norm mul_mem_closedBall_iff_norm
#align add_mem_closed_ball_iff_norm add_mem_closedBall_iff_norm
@[to_additive (attr := simp 1001)]
-- Porting note: increase priority so that the left-hand side doesn't simplify
theorem preimage_mul_ball (a b : E) (r : ℝ) : (b * ·) ⁻¹' ball a r = ball (a / b) r := by
ext c
simp only [dist_eq_norm_div, Set.mem_preimage, mem_ball, div_div_eq_mul_div, mul_comm]
#align preimage_mul_ball preimage_mul_ball
#align preimage_add_ball preimage_add_ball
@[to_additive (attr := simp 1001)]
-- Porting note: increase priority so that the left-hand side doesn't simplify
theorem preimage_mul_closedBall (a b : E) (r : ℝ) :
(b * ·) ⁻¹' closedBall a r = closedBall (a / b) r := by
ext c
simp only [dist_eq_norm_div, Set.mem_preimage, mem_closedBall, div_div_eq_mul_div, mul_comm]
#align preimage_mul_closed_ball preimage_mul_closedBall
#align preimage_add_closed_ball preimage_add_closedBall
@[to_additive (attr := simp)]
theorem preimage_mul_sphere (a b : E) (r : ℝ) : (b * ·) ⁻¹' sphere a r = sphere (a / b) r := by
ext c
simp only [Set.mem_preimage, mem_sphere_iff_norm', div_div_eq_mul_div, mul_comm]
#align preimage_mul_sphere preimage_mul_sphere
#align preimage_add_sphere preimage_add_sphere
@[to_additive norm_nsmul_le]
theorem norm_pow_le_mul_norm (n : ℕ) (a : E) : ‖a ^ n‖ ≤ n * ‖a‖ := by
induction' n with n ih; · simp
simpa only [pow_succ, Nat.cast_succ, add_mul, one_mul] using norm_mul_le_of_le ih le_rfl
#align norm_pow_le_mul_norm norm_pow_le_mul_norm
#align norm_nsmul_le norm_nsmul_le
@[to_additive nnnorm_nsmul_le]
theorem nnnorm_pow_le_mul_norm (n : ℕ) (a : E) : ‖a ^ n‖₊ ≤ n * ‖a‖₊ := by
simpa only [← NNReal.coe_le_coe, NNReal.coe_mul, NNReal.coe_natCast] using
norm_pow_le_mul_norm n a
#align nnnorm_pow_le_mul_norm nnnorm_pow_le_mul_norm
#align nnnorm_nsmul_le nnnorm_nsmul_le
@[to_additive]
theorem pow_mem_closedBall {n : ℕ} (h : a ∈ closedBall b r) :
a ^ n ∈ closedBall (b ^ n) (n • r) := by
simp only [mem_closedBall, dist_eq_norm_div, ← div_pow] at h ⊢
refine (norm_pow_le_mul_norm n (a / b)).trans ?_
simpa only [nsmul_eq_mul] using mul_le_mul_of_nonneg_left h n.cast_nonneg
#align pow_mem_closed_ball pow_mem_closedBall
#align nsmul_mem_closed_ball nsmul_mem_closedBall
@[to_additive]
theorem pow_mem_ball {n : ℕ} (hn : 0 < n) (h : a ∈ ball b r) : a ^ n ∈ ball (b ^ n) (n • r) := by
simp only [mem_ball, dist_eq_norm_div, ← div_pow] at h ⊢
refine lt_of_le_of_lt (norm_pow_le_mul_norm n (a / b)) ?_
replace hn : 0 < (n : ℝ) := by norm_cast
rw [nsmul_eq_mul]
nlinarith
#align pow_mem_ball pow_mem_ball
#align nsmul_mem_ball nsmul_mem_ball
@[to_additive] -- Porting note (#10618): `simp` can prove this
theorem mul_mem_closedBall_mul_iff {c : E} : a * c ∈ closedBall (b * c) r ↔ a ∈ closedBall b r := by
simp only [mem_closedBall, dist_eq_norm_div, mul_div_mul_right_eq_div]
#align mul_mem_closed_ball_mul_iff mul_mem_closedBall_mul_iff
#align add_mem_closed_ball_add_iff add_mem_closedBall_add_iff
@[to_additive] -- Porting note (#10618): `simp` can prove this
theorem mul_mem_ball_mul_iff {c : E} : a * c ∈ ball (b * c) r ↔ a ∈ ball b r := by
simp only [mem_ball, dist_eq_norm_div, mul_div_mul_right_eq_div]
#align mul_mem_ball_mul_iff mul_mem_ball_mul_iff
#align add_mem_ball_add_iff add_mem_ball_add_iff
@[to_additive]
theorem smul_closedBall'' : a • closedBall b r = closedBall (a • b) r := by
ext
simp [mem_closedBall, Set.mem_smul_set, dist_eq_norm_div, _root_.div_eq_inv_mul, ←
eq_inv_mul_iff_mul_eq, mul_assoc]
-- Porting note: `ENNReal.div_eq_inv_mul` should be `protected`?
#align smul_closed_ball'' smul_closedBall''
#align vadd_closed_ball'' vadd_closedBall''
@[to_additive]
theorem smul_ball'' : a • ball b r = ball (a • b) r := by
ext
simp [mem_ball, Set.mem_smul_set, dist_eq_norm_div, _root_.div_eq_inv_mul,
← eq_inv_mul_iff_mul_eq, mul_assoc]
#align smul_ball'' smul_ball''
#align vadd_ball'' vadd_ball''
open Finset
@[to_additive]
theorem controlled_prod_of_mem_closure {s : Subgroup E} (hg : a ∈ closure (s : Set E)) {b : ℕ → ℝ}
(b_pos : ∀ n, 0 < b n) :
∃ v : ℕ → E,
Tendsto (fun n => ∏ i ∈ range (n + 1), v i) atTop (𝓝 a) ∧
(∀ n, v n ∈ s) ∧ ‖v 0 / a‖ < b 0 ∧ ∀ n, 0 < n → ‖v n‖ < b n := by
obtain ⟨u : ℕ → E, u_in : ∀ n, u n ∈ s, lim_u : Tendsto u atTop (𝓝 a)⟩ :=
mem_closure_iff_seq_limit.mp hg
obtain ⟨n₀, hn₀⟩ : ∃ n₀, ∀ n ≥ n₀, ‖u n / a‖ < b 0 :=
haveI : { x | ‖x / a‖ < b 0 } ∈ 𝓝 a := by
simp_rw [← dist_eq_norm_div]
exact Metric.ball_mem_nhds _ (b_pos _)
Filter.tendsto_atTop'.mp lim_u _ this
set z : ℕ → E := fun n => u (n + n₀)
have lim_z : Tendsto z atTop (𝓝 a) := lim_u.comp (tendsto_add_atTop_nat n₀)
have mem_𝓤 : ∀ n, { p : E × E | ‖p.1 / p.2‖ < b (n + 1) } ∈ 𝓤 E := fun n => by
simpa [← dist_eq_norm_div] using Metric.dist_mem_uniformity (b_pos <| n + 1)
obtain ⟨φ : ℕ → ℕ, φ_extr : StrictMono φ, hφ : ∀ n, ‖z (φ <| n + 1) / z (φ n)‖ < b (n + 1)⟩ :=
lim_z.cauchySeq.subseq_mem mem_𝓤
set w : ℕ → E := z ∘ φ
have hw : Tendsto w atTop (𝓝 a) := lim_z.comp φ_extr.tendsto_atTop
set v : ℕ → E := fun i => if i = 0 then w 0 else w i / w (i - 1)
refine ⟨v, Tendsto.congr (Finset.eq_prod_range_div' w) hw, ?_, hn₀ _ (n₀.le_add_left _), ?_⟩
· rintro ⟨⟩
· change w 0 ∈ s
apply u_in
· apply s.div_mem <;> apply u_in
· intro l hl
obtain ⟨k, rfl⟩ : ∃ k, l = k + 1 := Nat.exists_eq_succ_of_ne_zero hl.ne'
apply hφ
#align controlled_prod_of_mem_closure controlled_prod_of_mem_closure
#align controlled_sum_of_mem_closure controlled_sum_of_mem_closure
@[to_additive]
theorem controlled_prod_of_mem_closure_range {j : E →* F} {b : F}
(hb : b ∈ closure (j.range : Set F)) {f : ℕ → ℝ} (b_pos : ∀ n, 0 < f n) :
∃ a : ℕ → E,
Tendsto (fun n => ∏ i ∈ range (n + 1), j (a i)) atTop (𝓝 b) ∧
‖j (a 0) / b‖ < f 0 ∧ ∀ n, 0 < n → ‖j (a n)‖ < f n := by
obtain ⟨v, sum_v, v_in, hv₀, hv_pos⟩ := controlled_prod_of_mem_closure hb b_pos
choose g hg using v_in
exact
⟨g, by simpa [← hg] using sum_v, by simpa [hg 0] using hv₀,
fun n hn => by simpa [hg] using hv_pos n hn⟩
#align controlled_prod_of_mem_closure_range controlled_prod_of_mem_closure_range
#align controlled_sum_of_mem_closure_range controlled_sum_of_mem_closure_range
@[to_additive]
theorem nndist_mul_mul_le (a₁ a₂ b₁ b₂ : E) :
nndist (a₁ * a₂) (b₁ * b₂) ≤ nndist a₁ b₁ + nndist a₂ b₂ :=
NNReal.coe_le_coe.1 <| dist_mul_mul_le a₁ a₂ b₁ b₂
#align nndist_mul_mul_le nndist_mul_mul_le
#align nndist_add_add_le nndist_add_add_le
@[to_additive]
theorem edist_mul_mul_le (a₁ a₂ b₁ b₂ : E) :
edist (a₁ * a₂) (b₁ * b₂) ≤ edist a₁ b₁ + edist a₂ b₂ := by
simp only [edist_nndist]
norm_cast
apply nndist_mul_mul_le
#align edist_mul_mul_le edist_mul_mul_le
#align edist_add_add_le edist_add_add_le
@[to_additive]
theorem nnnorm_multiset_prod_le (m : Multiset E) : ‖m.prod‖₊ ≤ (m.map fun x => ‖x‖₊).sum :=
NNReal.coe_le_coe.1 <| by
push_cast
rw [Multiset.map_map]
exact norm_multiset_prod_le _
#align nnnorm_multiset_prod_le nnnorm_multiset_prod_le
#align nnnorm_multiset_sum_le nnnorm_multiset_sum_le
@[to_additive]
theorem nnnorm_prod_le (s : Finset ι) (f : ι → E) : ‖∏ a ∈ s, f a‖₊ ≤ ∑ a ∈ s, ‖f a‖₊ :=
NNReal.coe_le_coe.1 <| by
push_cast
exact norm_prod_le _ _
#align nnnorm_prod_le nnnorm_prod_le
#align nnnorm_sum_le nnnorm_sum_le
@[to_additive]
theorem nnnorm_prod_le_of_le (s : Finset ι) {f : ι → E} {n : ι → ℝ≥0} (h : ∀ b ∈ s, ‖f b‖₊ ≤ n b) :
‖∏ b ∈ s, f b‖₊ ≤ ∑ b ∈ s, n b :=
(norm_prod_le_of_le s h).trans_eq NNReal.coe_sum.symm
#align nnnorm_prod_le_of_le nnnorm_prod_le_of_le
#align nnnorm_sum_le_of_le nnnorm_sum_le_of_le
namespace Real
instance norm : Norm ℝ where
norm r := |r|
@[simp]
theorem norm_eq_abs (r : ℝ) : ‖r‖ = |r| :=
rfl
#align real.norm_eq_abs Real.norm_eq_abs
instance normedAddCommGroup : NormedAddCommGroup ℝ :=
⟨fun _r _y => rfl⟩
theorem norm_of_nonneg (hr : 0 ≤ r) : ‖r‖ = r :=
abs_of_nonneg hr
#align real.norm_of_nonneg Real.norm_of_nonneg
theorem norm_of_nonpos (hr : r ≤ 0) : ‖r‖ = -r :=
abs_of_nonpos hr
#align real.norm_of_nonpos Real.norm_of_nonpos
theorem le_norm_self (r : ℝ) : r ≤ ‖r‖ :=
le_abs_self r
#align real.le_norm_self Real.le_norm_self
-- Porting note (#10618): `simp` can prove this
theorem norm_natCast (n : ℕ) : ‖(n : ℝ)‖ = n :=
abs_of_nonneg n.cast_nonneg
#align real.norm_coe_nat Real.norm_natCast
@[simp]
theorem nnnorm_natCast (n : ℕ) : ‖(n : ℝ)‖₊ = n :=
NNReal.eq <| norm_natCast _
#align real.nnnorm_coe_nat Real.nnnorm_natCast
-- 2024-04-05
@[deprecated] alias norm_coe_nat := norm_natCast
@[deprecated] alias nnnorm_coe_nat := nnnorm_natCast
-- Porting note (#10618): `simp` can prove this
theorem norm_two : ‖(2 : ℝ)‖ = 2 :=
abs_of_pos zero_lt_two
#align real.norm_two Real.norm_two
@[simp]
theorem nnnorm_two : ‖(2 : ℝ)‖₊ = 2 :=
NNReal.eq <| by simp
#align real.nnnorm_two Real.nnnorm_two
theorem nnnorm_of_nonneg (hr : 0 ≤ r) : ‖r‖₊ = ⟨r, hr⟩ :=
NNReal.eq <| norm_of_nonneg hr
#align real.nnnorm_of_nonneg Real.nnnorm_of_nonneg
@[simp]
theorem nnnorm_abs (r : ℝ) : ‖|r|‖₊ = ‖r‖₊ := by simp [nnnorm]
#align real.nnnorm_abs Real.nnnorm_abs
| Mathlib/Analysis/Normed/Group/Basic.lean | 1,897 | 1,898 | theorem ennnorm_eq_ofReal (hr : 0 ≤ r) : (‖r‖₊ : ℝ≥0∞) = ENNReal.ofReal r := by |
rw [← ofReal_norm_eq_coe_nnnorm, norm_of_nonneg hr]
|
/-
Copyright (c) 2021 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker
-/
import Mathlib.Analysis.Normed.Order.Basic
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.asymptotics.specific_asymptotics from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# A collection of specific asymptotic results
This file contains specific lemmas about asymptotics which don't have their place in the general
theory developed in `Mathlib.Analysis.Asymptotics.Asymptotics`.
-/
open Filter Asymptotics
open Topology
section NormedField
/-- If `f : 𝕜 → E` is bounded in a punctured neighborhood of `a`, then `f(x) = o((x - a)⁻¹)` as
`x → a`, `x ≠ a`. -/
theorem Filter.IsBoundedUnder.isLittleO_sub_self_inv {𝕜 E : Type*} [NormedField 𝕜] [Norm E] {a : 𝕜}
{f : 𝕜 → E} (h : IsBoundedUnder (· ≤ ·) (𝓝[≠] a) (norm ∘ f)) :
f =o[𝓝[≠] a] fun x => (x - a)⁻¹ := by
refine (h.isBigO_const (one_ne_zero' ℝ)).trans_isLittleO (isLittleO_const_left.2 <| Or.inr ?_)
simp only [(· ∘ ·), norm_inv]
exact (tendsto_norm_sub_self_punctured_nhds a).inv_tendsto_zero
#align filter.is_bounded_under.is_o_sub_self_inv Filter.IsBoundedUnder.isLittleO_sub_self_inv
end NormedField
section LinearOrderedField
variable {𝕜 : Type*} [LinearOrderedField 𝕜]
theorem pow_div_pow_eventuallyEq_atTop {p q : ℕ} :
(fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atTop] fun x => x ^ ((p : ℤ) - q) := by
apply (eventually_gt_atTop (0 : 𝕜)).mono fun x hx => _
intro x hx
simp [zpow_sub₀ hx.ne']
#align pow_div_pow_eventually_eq_at_top pow_div_pow_eventuallyEq_atTop
theorem pow_div_pow_eventuallyEq_atBot {p q : ℕ} :
(fun x : 𝕜 => x ^ p / x ^ q) =ᶠ[atBot] fun x => x ^ ((p : ℤ) - q) := by
apply (eventually_lt_atBot (0 : 𝕜)).mono fun x hx => _
intro x hx
simp [zpow_sub₀ hx.ne]
#align pow_div_pow_eventually_eq_at_bot pow_div_pow_eventuallyEq_atBot
| Mathlib/Analysis/Asymptotics/SpecificAsymptotics.lean | 56 | 60 | theorem tendsto_pow_div_pow_atTop_atTop {p q : ℕ} (hpq : q < p) :
Tendsto (fun x : 𝕜 => x ^ p / x ^ q) atTop atTop := by |
rw [tendsto_congr' pow_div_pow_eventuallyEq_atTop]
apply tendsto_zpow_atTop_atTop
omega
|
/-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
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"
/-!
# Stalks for presheaved spaces
This file lifts constructions of stalks and pushforwards of stalks to work with
the category of presheafed spaces. Additionally, we prove that restriction of
presheafed spaces does not change the stalks.
-/
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
/-- The stalk at `x` of a `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
/-- A morphism of presheafed spaces induces a morphism of stalks.
-/
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⟩
section Restrict
/-- For an open embedding `f : U ⟶ X` and a point `x : U`, we get an isomorphism between the stalk
of `X` at `f x` and the stalk of the restriction of `X` along `f` at t `x`.
-/
def restrictStalkIso {U : TopCat} (X : PresheafedSpace.{_, _, v} C) {f : U ⟶ (X : TopCat.{v})}
(h : OpenEmbedding f) (x : U) : (X.restrict h).stalk x ≅ X.stalk (f x) :=
haveI := initial_of_adjunction (h.isOpenMap.adjunctionNhds x)
Final.colimitIso (h.isOpenMap.functorNhds x).op ((OpenNhds.inclusion (f x)).op ⋙ X.presheaf)
-- As a left adjoint, the functor `h.is_open_map.functor_nhds x` is initial.
-- Typeclass resolution knows that the opposite of an initial functor is final. The result
-- follows from the general fact that postcomposing with a final functor doesn't change colimits.
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.restrict_stalk_iso AlgebraicGeometry.PresheafedSpace.restrictStalkIso
-- Porting note (#11119): removed `simp` attribute, for left hand side is not in simple normal form.
@[elementwise, reassoc]
theorem restrictStalkIso_hom_eq_germ {U : TopCat} (X : PresheafedSpace.{_, _, v} C)
{f : U ⟶ (X : TopCat.{v})} (h : OpenEmbedding f) (V : Opens U) (x : U) (hx : x ∈ V) :
(X.restrict h).presheaf.germ ⟨x, hx⟩ ≫ (restrictStalkIso X h x).hom =
X.presheaf.germ ⟨f x, show f x ∈ h.isOpenMap.functor.obj V from ⟨x, hx, rfl⟩⟩ :=
colimit.ι_pre ((OpenNhds.inclusion (f x)).op ⋙ X.presheaf) (h.isOpenMap.functorNhds x).op
(op ⟨V, hx⟩)
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.restrict_stalk_iso_hom_eq_germ AlgebraicGeometry.PresheafedSpace.restrictStalkIso_hom_eq_germ
-- We intentionally leave `simp` off the lemmas generated by `elementwise` and `reassoc`,
-- as the simpNF linter claims they never apply.
@[simp, elementwise, reassoc]
theorem restrictStalkIso_inv_eq_germ {U : TopCat} (X : PresheafedSpace.{_, _, v} C)
{f : U ⟶ (X : TopCat.{v})} (h : OpenEmbedding f) (V : Opens U) (x : U) (hx : x ∈ V) :
X.presheaf.germ ⟨f x, show f x ∈ h.isOpenMap.functor.obj V from ⟨x, hx, rfl⟩⟩ ≫
(restrictStalkIso X h x).inv =
(X.restrict h).presheaf.germ ⟨x, hx⟩ := by
rw [← restrictStalkIso_hom_eq_germ, Category.assoc, Iso.hom_inv_id, Category.comp_id]
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.restrict_stalk_iso_inv_eq_germ AlgebraicGeometry.PresheafedSpace.restrictStalkIso_inv_eq_germ
theorem restrictStalkIso_inv_eq_ofRestrict {U : TopCat} (X : PresheafedSpace.{_, _, v} C)
{f : U ⟶ (X : TopCat.{v})} (h : OpenEmbedding f) (x : U) :
(X.restrictStalkIso h x).inv = stalkMap (X.ofRestrict h) x := by
-- We can't use `ext` here due to https://github.com/leanprover/std4/pull/159
refine colimit.hom_ext fun V => ?_
induction V with | h V => ?_
let i : (h.isOpenMap.functorNhds x).obj ((OpenNhds.map f x).obj V) ⟶ V :=
homOfLE (Set.image_preimage_subset f _)
erw [Iso.comp_inv_eq, colimit.ι_map_assoc, colimit.ι_map_assoc, colimit.ι_pre]
simp_rw [Category.assoc]
erw [colimit.ι_pre ((OpenNhds.inclusion (f x)).op ⋙ X.presheaf)
(h.isOpenMap.functorNhds x).op]
erw [← X.presheaf.map_comp_assoc]
exact (colimit.w ((OpenNhds.inclusion (f x)).op ⋙ X.presheaf) i.op).symm
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.restrict_stalk_iso_inv_eq_of_restrict AlgebraicGeometry.PresheafedSpace.restrictStalkIso_inv_eq_ofRestrict
instance ofRestrict_stalkMap_isIso {U : TopCat} (X : PresheafedSpace.{_, _, v} C)
{f : U ⟶ (X : TopCat.{v})} (h : OpenEmbedding f) (x : U) :
IsIso (stalkMap (X.ofRestrict h) x) := by
rw [← restrictStalkIso_inv_eq_ofRestrict]; infer_instance
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.of_restrict_stalk_map_is_iso AlgebraicGeometry.PresheafedSpace.ofRestrict_stalkMap_isIso
end Restrict
namespace stalkMap
@[simp]
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
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map.id AlgebraicGeometry.PresheafedSpace.stalkMap.id
@[simp]
theorem comp {X Y Z : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (β : Y ⟶ Z) (x : X) :
stalkMap (α ≫ β) x =
(stalkMap β (α.base x) : Z.stalk (β.base (α.base x)) ⟶ Y.stalk (α.base x)) ≫
(stalkMap α x : Y.stalk (α.base x) ⟶ X.stalk x) := by
dsimp [stalkMap, stalkFunctor, stalkPushforward]
-- We can't use `ext` here due to https://github.com/leanprover/std4/pull/159
refine colimit.hom_ext fun U => ?_
induction U with | h U => ?_
cases U
simp only [whiskeringLeft_obj_obj, comp_obj, op_obj, unop_op, OpenNhds.inclusion_obj,
ι_colimMap_assoc, pushforwardObj_obj, Opens.map_comp_obj, whiskerLeft_app, comp_c_app,
OpenNhds.map_obj, whiskerRight_app, NatTrans.id_app, map_id, colimit.ι_pre, id_comp, assoc,
colimit.ι_pre_assoc]
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map.comp AlgebraicGeometry.PresheafedSpace.stalkMap.comp
/-- If `α = β` and `x = x'`, we would like to say that `stalk_map α x = stalk_map β x'`.
Unfortunately, this equality is not well-formed, as their types are not _definitionally_ the same.
To get a proper congruence lemma, we therefore have to introduce these `eqToHom` arrows on
either side of the equality.
-/
theorem congr {X Y : PresheafedSpace.{_, _, v} C} (α β : X ⟶ Y)
(h₁ : α = β) (x x' : X) (h₂ : x = x') :
stalkMap α x ≫ eqToHom (show X.stalk x = X.stalk x' by rw [h₂]) =
eqToHom (show Y.stalk (α.base x) = Y.stalk (β.base x') by rw [h₁, h₂]) ≫ stalkMap β x' := by
ext
substs h₁ h₂
simp
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map.congr AlgebraicGeometry.PresheafedSpace.stalkMap.congr
theorem congr_hom {X Y : PresheafedSpace.{_, _, v} C} (α β : X ⟶ Y) (h : α = β) (x : X) :
stalkMap α x =
eqToHom (show Y.stalk (α.base x) = Y.stalk (β.base x) by rw [h]) ≫ stalkMap β x := by
rw [← stalkMap.congr α β h x x rfl, eqToHom_refl, Category.comp_id]
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map.congr_hom AlgebraicGeometry.PresheafedSpace.stalkMap.congr_hom
theorem congr_point {X Y : PresheafedSpace.{_, _, v} C}
(α : X ⟶ Y) (x x' : X) (h : x = x') :
stalkMap α x ≫ eqToHom (show X.stalk x = X.stalk x' by rw [h]) =
eqToHom (show Y.stalk (α.base x) = Y.stalk (α.base x') by rw [h]) ≫ stalkMap α x' := by
rw [stalkMap.congr α α rfl x x' h]
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map.congr_point AlgebraicGeometry.PresheafedSpace.stalkMap.congr_point
instance isIso {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) [IsIso α] (x : X) :
IsIso (stalkMap α x) where
out := by
let β : Y ⟶ X := CategoryTheory.inv α
have h_eq : (α ≫ β).base x = x := by rw [IsIso.hom_inv_id α, id_base, TopCat.id_app]
-- Intuitively, the inverse of the stalk map of `α` at `x` should just be the stalk map of `β`
-- at `α x`. Unfortunately, we have a problem with dependent type theory here: Because `x`
-- is not *definitionally* equal to `β (α x)`, the map `stalk_map β (α x)` has not the correct
-- type for an inverse.
-- To get a proper inverse, we need to compose with the `eqToHom` arrow
-- `X.stalk x ⟶ X.stalk ((α ≫ β).base x)`.
refine
⟨eqToHom (show X.stalk x = X.stalk ((α ≫ β).base x) by rw [h_eq]) ≫
(stalkMap β (α.base x) : _),
?_, ?_⟩
· rw [← Category.assoc, congr_point α x ((α ≫ β).base x) h_eq.symm, Category.assoc]
erw [← stalkMap.comp β α (α.base x)]
rw [congr_hom _ _ (IsIso.inv_hom_id α), stalkMap.id, eqToHom_trans_assoc, eqToHom_refl,
Category.id_comp]
· rw [Category.assoc, ← stalkMap.comp, congr_hom _ _ (IsIso.hom_inv_id α), stalkMap.id,
eqToHom_trans_assoc, eqToHom_refl, Category.id_comp]
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map.is_iso AlgebraicGeometry.PresheafedSpace.stalkMap.isIso
/-- An isomorphism between presheafed spaces induces an isomorphism of stalks.
-/
def stalkIso {X Y : PresheafedSpace.{_, _, v} C} (α : X ≅ Y) (x : X) :
Y.stalk (α.hom.base x) ≅ X.stalk x :=
asIso (stalkMap α.hom x)
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map.stalk_iso AlgebraicGeometry.PresheafedSpace.stalkMap.stalkIso
@[reassoc, elementwise, simp, nolint simpNF] -- see std4#365 for the simpNF issue
| Mathlib/Geometry/RingedSpace/Stalks.lean | 229 | 246 | theorem stalkSpecializes_stalkMap {X Y : PresheafedSpace.{_, _, v} C}
(f : X ⟶ Y) {x y : X} (h : x ⤳ y) :
Y.presheaf.stalkSpecializes (f.base.map_specializes h) ≫ stalkMap f x =
stalkMap f y ≫ X.presheaf.stalkSpecializes h := by |
-- Porting note: the original one liner `dsimp [stalkMap]; simp [stalkMap]` doesn't work,
-- I had to uglify this
dsimp [stalkSpecializes, stalkMap, stalkFunctor, stalkPushforward]
-- We can't use `ext` here due to https://github.com/leanprover/std4/pull/159
refine colimit.hom_ext fun j => ?_
induction j with | h j => ?_
dsimp
simp only [colimit.ι_desc_assoc, comp_obj, op_obj, unop_op, ι_colimMap_assoc, colimit.map_desc,
OpenNhds.inclusion_obj, pushforwardObj_obj, whiskerLeft_app, OpenNhds.map_obj, whiskerRight_app,
NatTrans.id_app, map_id, colimit.ι_pre, id_comp, assoc, colimit.pre_desc]
erw [colimit.ι_desc]
dsimp
erw [X.presheaf.map_id, id_comp]
rfl
|
/-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Sophie Morel, Yury Kudryashov
-/
import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace
import Mathlib.Logic.Embedding.Basic
import Mathlib.Data.Fintype.CardEmbedding
import Mathlib.Topology.Algebra.Module.Multilinear.Topology
#align_import analysis.normed_space.multilinear from "leanprover-community/mathlib"@"f40476639bac089693a489c9e354ebd75dc0f886"
/-!
# Operator norm on the space of continuous multilinear maps
When `f` is a continuous multilinear map in finitely many variables, we define its norm `‖f‖` as the
smallest number such that `‖f m‖ ≤ ‖f‖ * ∏ i, ‖m i‖` for all `m`.
We show that it is indeed a norm, and prove its basic properties.
## Main results
Let `f` be a multilinear map in finitely many variables.
* `exists_bound_of_continuous` asserts that, if `f` is continuous, then there exists `C > 0`
with `‖f m‖ ≤ C * ∏ i, ‖m i‖` for all `m`.
* `continuous_of_bound`, conversely, asserts that this bound implies continuity.
* `mkContinuous` constructs the associated continuous multilinear map.
Let `f` be a continuous multilinear map in finitely many variables.
* `‖f‖` is its norm, i.e., the smallest number such that `‖f m‖ ≤ ‖f‖ * ∏ i, ‖m i‖` for
all `m`.
* `le_opNorm f m` asserts the fundamental inequality `‖f m‖ ≤ ‖f‖ * ∏ i, ‖m i‖`.
* `norm_image_sub_le f m₁ m₂` gives a control of the difference `f m₁ - f m₂` in terms of
`‖f‖` and `‖m₁ - m₂‖`.
## Implementation notes
We mostly follow the API (and the proofs) of `OperatorNorm.lean`, with the additional complexity
that we should deal with multilinear maps in several variables. The currying/uncurrying
constructions are based on those in `Multilinear.lean`.
From the mathematical point of view, all the results follow from the results on operator norm in
one variable, by applying them to one variable after the other through currying. However, this
is only well defined when there is an order on the variables (for instance on `Fin n`) although
the final result is independent of the order. While everything could be done following this
approach, it turns out that direct proofs are easier and more efficient.
-/
suppress_compilation
noncomputable section
open scoped NNReal Topology Uniformity
open Finset Metric Function Filter
/-
Porting note: These lines are not required in Mathlib4.
```lean
attribute [local instance 1001]
AddCommGroup.toAddCommMonoid NormedAddCommGroup.toAddCommGroup NormedSpace.toModule'
```
-/
/-!
### Type variables
We use the following type variables in this file:
* `𝕜` : a `NontriviallyNormedField`;
* `ι`, `ι'` : finite index types with decidable equality;
* `E`, `E₁` : families of normed vector spaces over `𝕜` indexed by `i : ι`;
* `E'` : a family of normed vector spaces over `𝕜` indexed by `i' : ι'`;
* `Ei` : a family of normed vector spaces over `𝕜` indexed by `i : Fin (Nat.succ n)`;
* `G`, `G'` : normed vector spaces over `𝕜`.
-/
universe u v v' wE wE₁ wE' wG wG'
section Seminorm
variable {𝕜 : Type u} {ι : Type v} {ι' : Type v'} {E : ι → Type wE} {E₁ : ι → Type wE₁}
{E' : ι' → Type wE'} {G : Type wG} {G' : Type wG'} [Fintype ι]
[Fintype ι'] [NontriviallyNormedField 𝕜] [∀ i, SeminormedAddCommGroup (E i)]
[∀ i, NormedSpace 𝕜 (E i)] [∀ i, SeminormedAddCommGroup (E₁ i)] [∀ i, NormedSpace 𝕜 (E₁ i)]
[∀ i, SeminormedAddCommGroup (E' i)] [∀ i, NormedSpace 𝕜 (E' i)]
[SeminormedAddCommGroup G] [NormedSpace 𝕜 G] [SeminormedAddCommGroup G'] [NormedSpace 𝕜 G']
/-!
### Continuity properties of multilinear maps
We relate continuity of multilinear maps to the inequality `‖f m‖ ≤ C * ∏ i, ‖m i‖`, in
both directions. Along the way, we prove useful bounds on the difference `‖f m₁ - f m₂‖`.
-/
namespace MultilinearMap
variable (f : MultilinearMap 𝕜 E G)
/-- If `f` is a continuous multilinear map in finitely many variables on `E` and `m` is an element
of `∀ i, E i` such that one of the `m i` has norm `0`, then `f m` has norm `0`.
Note that we cannot drop the continuity assumption because `f (m : Unit → E) = f (m ())`,
where the domain has zero norm and the codomain has a nonzero norm
does not satisfy this condition. -/
lemma norm_map_coord_zero (hf : Continuous f) {m : ∀ i, E i} {i : ι} (hi : ‖m i‖ = 0) :
‖f m‖ = 0 := by
classical
rw [← inseparable_zero_iff_norm] at hi ⊢
have : Inseparable (update m i 0) m := inseparable_pi.2 <|
(forall_update_iff m fun i a ↦ Inseparable a (m i)).2 ⟨hi.symm, fun _ _ ↦ rfl⟩
simpa only [map_update_zero] using this.symm.map hf
theorem bound_of_shell_of_norm_map_coord_zero (hf₀ : ∀ {m i}, ‖m i‖ = 0 → ‖f m‖ = 0)
{ε : ι → ℝ} {C : ℝ} (hε : ∀ i, 0 < ε i) {c : ι → 𝕜} (hc : ∀ i, 1 < ‖c i‖)
(hf : ∀ m : ∀ i, E i, (∀ i, ε i / ‖c i‖ ≤ ‖m i‖) → (∀ i, ‖m i‖ < ε i) → ‖f m‖ ≤ C * ∏ i, ‖m i‖)
(m : ∀ i, E i) : ‖f m‖ ≤ C * ∏ i, ‖m i‖ := by
rcases em (∃ i, ‖m i‖ = 0) with (⟨i, hi⟩ | hm)
· rw [hf₀ hi, prod_eq_zero (mem_univ i) hi, mul_zero]
push_neg at hm
choose δ hδ0 hδm_lt hle_δm _ using fun i => rescale_to_shell_semi_normed (hc i) (hε i) (hm i)
have hδ0 : 0 < ∏ i, ‖δ i‖ := prod_pos fun i _ => norm_pos_iff.2 (hδ0 i)
simpa [map_smul_univ, norm_smul, prod_mul_distrib, mul_left_comm C, mul_le_mul_left hδ0] using
hf (fun i => δ i • m i) hle_δm hδm_lt
/-- If a continuous multilinear map in finitely many variables on normed spaces satisfies
the inequality `‖f m‖ ≤ C * ∏ i, ‖m i‖` on a shell `ε i / ‖c i‖ < ‖m i‖ < ε i` for some positive
numbers `ε i` and elements `c i : 𝕜`, `1 < ‖c i‖`, then it satisfies this inequality for all `m`. -/
theorem bound_of_shell_of_continuous (hfc : Continuous f)
{ε : ι → ℝ} {C : ℝ} (hε : ∀ i, 0 < ε i) {c : ι → 𝕜} (hc : ∀ i, 1 < ‖c i‖)
(hf : ∀ m : ∀ i, E i, (∀ i, ε i / ‖c i‖ ≤ ‖m i‖) → (∀ i, ‖m i‖ < ε i) → ‖f m‖ ≤ C * ∏ i, ‖m i‖)
(m : ∀ i, E i) : ‖f m‖ ≤ C * ∏ i, ‖m i‖ :=
bound_of_shell_of_norm_map_coord_zero f (norm_map_coord_zero f hfc) hε hc hf m
/-- If a multilinear map in finitely many variables on normed spaces is continuous, then it
satisfies the inequality `‖f m‖ ≤ C * ∏ i, ‖m i‖`, for some `C` which can be chosen to be
positive. -/
theorem exists_bound_of_continuous (hf : Continuous f) :
∃ C : ℝ, 0 < C ∧ ∀ m, ‖f m‖ ≤ C * ∏ i, ‖m i‖ := by
cases isEmpty_or_nonempty ι
· refine ⟨‖f 0‖ + 1, add_pos_of_nonneg_of_pos (norm_nonneg _) zero_lt_one, fun m => ?_⟩
obtain rfl : m = 0 := funext (IsEmpty.elim ‹_›)
simp [univ_eq_empty, zero_le_one]
obtain ⟨ε : ℝ, ε0 : 0 < ε, hε : ∀ m : ∀ i, E i, ‖m - 0‖ < ε → ‖f m - f 0‖ < 1⟩ :=
NormedAddCommGroup.tendsto_nhds_nhds.1 (hf.tendsto 0) 1 zero_lt_one
simp only [sub_zero, f.map_zero] at hε
rcases NormedField.exists_one_lt_norm 𝕜 with ⟨c, hc⟩
have : 0 < (‖c‖ / ε) ^ Fintype.card ι := pow_pos (div_pos (zero_lt_one.trans hc) ε0) _
refine ⟨_, this, ?_⟩
refine f.bound_of_shell_of_continuous hf (fun _ => ε0) (fun _ => hc) fun m hcm hm => ?_
refine (hε m ((pi_norm_lt_iff ε0).2 hm)).le.trans ?_
rw [← div_le_iff' this, one_div, ← inv_pow, inv_div, Fintype.card, ← prod_const]
exact prod_le_prod (fun _ _ => div_nonneg ε0.le (norm_nonneg _)) fun i _ => hcm i
#align multilinear_map.exists_bound_of_continuous MultilinearMap.exists_bound_of_continuous
/-- If `f` satisfies a boundedness property around `0`, one can deduce a bound on `f m₁ - f m₂`
using the multilinearity. Here, we give a precise but hard to use version. See
`norm_image_sub_le_of_bound` for a less precise but more usable version. The bound reads
`‖f m - f m'‖ ≤
C * ‖m 1 - m' 1‖ * max ‖m 2‖ ‖m' 2‖ * max ‖m 3‖ ‖m' 3‖ * ... * max ‖m n‖ ‖m' n‖ + ...`,
where the other terms in the sum are the same products where `1` is replaced by any `i`. -/
theorem norm_image_sub_le_of_bound' [DecidableEq ι] {C : ℝ} (hC : 0 ≤ C)
(H : ∀ m, ‖f m‖ ≤ C * ∏ i, ‖m i‖) (m₁ m₂ : ∀ i, E i) :
‖f m₁ - f m₂‖ ≤ C * ∑ i, ∏ j, if j = i then ‖m₁ i - m₂ i‖ else max ‖m₁ j‖ ‖m₂ j‖ := by
have A :
∀ s : Finset ι,
‖f m₁ - f (s.piecewise m₂ m₁)‖ ≤
C * ∑ i ∈ s, ∏ j, if j = i then ‖m₁ i - m₂ i‖ else max ‖m₁ j‖ ‖m₂ j‖ := by
intro s
induction' s using Finset.induction with i s his Hrec
· simp
have I :
‖f (s.piecewise m₂ m₁) - f ((insert i s).piecewise m₂ m₁)‖ ≤
C * ∏ j, if j = i then ‖m₁ i - m₂ i‖ else max ‖m₁ j‖ ‖m₂ j‖ := by
have A : (insert i s).piecewise m₂ m₁ = Function.update (s.piecewise m₂ m₁) i (m₂ i) :=
s.piecewise_insert _ _ _
have B : s.piecewise m₂ m₁ = Function.update (s.piecewise m₂ m₁) i (m₁ i) := by
simp [eq_update_iff, his]
rw [B, A, ← f.map_sub]
apply le_trans (H _)
gcongr with j
· exact fun j _ => norm_nonneg _
by_cases h : j = i
· rw [h]
simp
· by_cases h' : j ∈ s <;> simp [h', h, le_refl]
calc
‖f m₁ - f ((insert i s).piecewise m₂ m₁)‖ ≤
‖f m₁ - f (s.piecewise m₂ m₁)‖ +
‖f (s.piecewise m₂ m₁) - f ((insert i s).piecewise m₂ m₁)‖ := by
rw [← dist_eq_norm, ← dist_eq_norm, ← dist_eq_norm]
exact dist_triangle _ _ _
_ ≤ (C * ∑ i ∈ s, ∏ j, if j = i then ‖m₁ i - m₂ i‖ else max ‖m₁ j‖ ‖m₂ j‖) +
C * ∏ j, if j = i then ‖m₁ i - m₂ i‖ else max ‖m₁ j‖ ‖m₂ j‖ :=
(add_le_add Hrec I)
_ = C * ∑ i ∈ insert i s, ∏ j, if j = i then ‖m₁ i - m₂ i‖ else max ‖m₁ j‖ ‖m₂ j‖ := by
simp [his, add_comm, left_distrib]
convert A univ
simp
#align multilinear_map.norm_image_sub_le_of_bound' MultilinearMap.norm_image_sub_le_of_bound'
/-- If `f` satisfies a boundedness property around `0`, one can deduce a bound on `f m₁ - f m₂`
using the multilinearity. Here, we give a usable but not very precise version. See
`norm_image_sub_le_of_bound'` for a more precise but less usable version. The bound is
`‖f m - f m'‖ ≤ C * card ι * ‖m - m'‖ * (max ‖m‖ ‖m'‖) ^ (card ι - 1)`. -/
theorem norm_image_sub_le_of_bound {C : ℝ} (hC : 0 ≤ C) (H : ∀ m, ‖f m‖ ≤ C * ∏ i, ‖m i‖)
(m₁ m₂ : ∀ i, E i) :
‖f m₁ - f m₂‖ ≤ C * Fintype.card ι * max ‖m₁‖ ‖m₂‖ ^ (Fintype.card ι - 1) * ‖m₁ - m₂‖ := by
classical
have A :
∀ i : ι,
∏ j, (if j = i then ‖m₁ i - m₂ i‖ else max ‖m₁ j‖ ‖m₂ j‖) ≤
‖m₁ - m₂‖ * max ‖m₁‖ ‖m₂‖ ^ (Fintype.card ι - 1) := by
intro i
calc
∏ j, (if j = i then ‖m₁ i - m₂ i‖ else max ‖m₁ j‖ ‖m₂ j‖) ≤
∏ j : ι, Function.update (fun _ => max ‖m₁‖ ‖m₂‖) i ‖m₁ - m₂‖ j := by
apply Finset.prod_le_prod
· intro j _
by_cases h : j = i <;> simp [h, norm_nonneg]
· intro j _
by_cases h : j = i
· rw [h]
simp only [ite_true, Function.update_same]
exact norm_le_pi_norm (m₁ - m₂) i
· simp [h, -le_max_iff, -max_le_iff, max_le_max, norm_le_pi_norm (_ : ∀ i, E i)]
_ = ‖m₁ - m₂‖ * max ‖m₁‖ ‖m₂‖ ^ (Fintype.card ι - 1) := by
rw [prod_update_of_mem (Finset.mem_univ _)]
simp [card_univ_diff]
calc
‖f m₁ - f m₂‖ ≤ C * ∑ i, ∏ j, if j = i then ‖m₁ i - m₂ i‖ else max ‖m₁ j‖ ‖m₂ j‖ :=
f.norm_image_sub_le_of_bound' hC H m₁ m₂
_ ≤ C * ∑ _i, ‖m₁ - m₂‖ * max ‖m₁‖ ‖m₂‖ ^ (Fintype.card ι - 1) := by gcongr; apply A
_ = C * Fintype.card ι * max ‖m₁‖ ‖m₂‖ ^ (Fintype.card ι - 1) * ‖m₁ - m₂‖ := by
rw [sum_const, card_univ, nsmul_eq_mul]
ring
#align multilinear_map.norm_image_sub_le_of_bound MultilinearMap.norm_image_sub_le_of_bound
/-- If a multilinear map satisfies an inequality `‖f m‖ ≤ C * ∏ i, ‖m i‖`, then it is
continuous. -/
theorem continuous_of_bound (C : ℝ) (H : ∀ m, ‖f m‖ ≤ C * ∏ i, ‖m i‖) : Continuous f := by
let D := max C 1
have D_pos : 0 ≤ D := le_trans zero_le_one (le_max_right _ _)
replace H (m) : ‖f m‖ ≤ D * ∏ i, ‖m i‖ :=
(H m).trans (mul_le_mul_of_nonneg_right (le_max_left _ _) <| by positivity)
refine continuous_iff_continuousAt.2 fun m => ?_
refine
continuousAt_of_locally_lipschitz zero_lt_one
(D * Fintype.card ι * (‖m‖ + 1) ^ (Fintype.card ι - 1)) fun m' h' => ?_
rw [dist_eq_norm, dist_eq_norm]
have : max ‖m'‖ ‖m‖ ≤ ‖m‖ + 1 := by
simp [zero_le_one, norm_le_of_mem_closedBall (le_of_lt h')]
calc
‖f m' - f m‖ ≤ D * Fintype.card ι * max ‖m'‖ ‖m‖ ^ (Fintype.card ι - 1) * ‖m' - m‖ :=
f.norm_image_sub_le_of_bound D_pos H m' m
_ ≤ D * Fintype.card ι * (‖m‖ + 1) ^ (Fintype.card ι - 1) * ‖m' - m‖ := by gcongr
#align multilinear_map.continuous_of_bound MultilinearMap.continuous_of_bound
/-- Constructing a continuous multilinear map from a multilinear map satisfying a boundedness
condition. -/
def mkContinuous (C : ℝ) (H : ∀ m, ‖f m‖ ≤ C * ∏ i, ‖m i‖) : ContinuousMultilinearMap 𝕜 E G :=
{ f with cont := f.continuous_of_bound C H }
#align multilinear_map.mk_continuous MultilinearMap.mkContinuous
@[simp]
theorem coe_mkContinuous (C : ℝ) (H : ∀ m, ‖f m‖ ≤ C * ∏ i, ‖m i‖) : ⇑(f.mkContinuous C H) = f :=
rfl
#align multilinear_map.coe_mk_continuous MultilinearMap.coe_mkContinuous
/-- Given a multilinear map in `n` variables, if one restricts it to `k` variables putting `z` on
the other coordinates, then the resulting restricted function satisfies an inequality
`‖f.restr v‖ ≤ C * ‖z‖^(n-k) * Π ‖v i‖` if the original function satisfies `‖f v‖ ≤ C * Π ‖v i‖`. -/
theorem restr_norm_le {k n : ℕ} (f : (MultilinearMap 𝕜 (fun _ : Fin n => G) G' : _))
(s : Finset (Fin n)) (hk : s.card = k) (z : G) {C : ℝ} (H : ∀ m, ‖f m‖ ≤ C * ∏ i, ‖m i‖)
(v : Fin k → G) : ‖f.restr s hk z v‖ ≤ C * ‖z‖ ^ (n - k) * ∏ i, ‖v i‖ := by
rw [mul_right_comm, mul_assoc]
convert H _ using 2
simp only [apply_dite norm, Fintype.prod_dite, prod_const ‖z‖, Finset.card_univ,
Fintype.card_of_subtype sᶜ fun _ => mem_compl, card_compl, Fintype.card_fin, hk, mk_coe, ←
(s.orderIsoOfFin hk).symm.bijective.prod_comp fun x => ‖v x‖]
convert rfl
#align multilinear_map.restr_norm_le MultilinearMap.restr_norm_le
end MultilinearMap
/-!
### Continuous multilinear maps
We define the norm `‖f‖` of a continuous multilinear map `f` in finitely many variables as the
smallest number such that `‖f m‖ ≤ ‖f‖ * ∏ i, ‖m i‖` for all `m`. We show that this
defines a normed space structure on `ContinuousMultilinearMap 𝕜 E G`.
-/
namespace ContinuousMultilinearMap
variable (c : 𝕜) (f g : ContinuousMultilinearMap 𝕜 E G) (m : ∀ i, E i)
theorem bound : ∃ C : ℝ, 0 < C ∧ ∀ m, ‖f m‖ ≤ C * ∏ i, ‖m i‖ :=
f.toMultilinearMap.exists_bound_of_continuous f.2
#align continuous_multilinear_map.bound ContinuousMultilinearMap.bound
open Real
/-- The operator norm of a continuous multilinear map is the inf of all its bounds. -/
def opNorm :=
sInf { c | 0 ≤ (c : ℝ) ∧ ∀ m, ‖f m‖ ≤ c * ∏ i, ‖m i‖ }
#align continuous_multilinear_map.op_norm ContinuousMultilinearMap.opNorm
instance hasOpNorm : Norm (ContinuousMultilinearMap 𝕜 E G) :=
⟨opNorm⟩
#align continuous_multilinear_map.has_op_norm ContinuousMultilinearMap.hasOpNorm
/-- An alias of `ContinuousMultilinearMap.hasOpNorm` with non-dependent types to help typeclass
search. -/
instance hasOpNorm' : Norm (ContinuousMultilinearMap 𝕜 (fun _ : ι => G) G') :=
ContinuousMultilinearMap.hasOpNorm
#align continuous_multilinear_map.has_op_norm' ContinuousMultilinearMap.hasOpNorm'
theorem norm_def : ‖f‖ = sInf { c | 0 ≤ (c : ℝ) ∧ ∀ m, ‖f m‖ ≤ c * ∏ i, ‖m i‖ } :=
rfl
#align continuous_multilinear_map.norm_def ContinuousMultilinearMap.norm_def
-- So that invocations of `le_csInf` make sense: we show that the set of
-- bounds is nonempty and bounded below.
theorem bounds_nonempty {f : ContinuousMultilinearMap 𝕜 E G} :
∃ c, c ∈ { c | 0 ≤ c ∧ ∀ m, ‖f m‖ ≤ c * ∏ i, ‖m i‖ } :=
let ⟨M, hMp, hMb⟩ := f.bound
⟨M, le_of_lt hMp, hMb⟩
#align continuous_multilinear_map.bounds_nonempty ContinuousMultilinearMap.bounds_nonempty
theorem bounds_bddBelow {f : ContinuousMultilinearMap 𝕜 E G} :
BddBelow { c | 0 ≤ c ∧ ∀ m, ‖f m‖ ≤ c * ∏ i, ‖m i‖ } :=
⟨0, fun _ ⟨hn, _⟩ => hn⟩
#align continuous_multilinear_map.bounds_bdd_below ContinuousMultilinearMap.bounds_bddBelow
theorem isLeast_opNorm : IsLeast {c : ℝ | 0 ≤ c ∧ ∀ m, ‖f m‖ ≤ c * ∏ i, ‖m i‖} ‖f‖ := by
refine IsClosed.isLeast_csInf ?_ bounds_nonempty bounds_bddBelow
simp only [Set.setOf_and, Set.setOf_forall]
exact isClosed_Ici.inter (isClosed_iInter fun m ↦
isClosed_le continuous_const (continuous_id.mul continuous_const))
@[deprecated (since := "2024-02-02")] alias isLeast_op_norm := isLeast_opNorm
theorem opNorm_nonneg : 0 ≤ ‖f‖ :=
Real.sInf_nonneg _ fun _ ⟨hx, _⟩ => hx
#align continuous_multilinear_map.op_norm_nonneg ContinuousMultilinearMap.opNorm_nonneg
@[deprecated (since := "2024-02-02")] alias op_norm_nonneg := opNorm_nonneg
/-- The fundamental property of the operator norm of a continuous multilinear map:
`‖f m‖` is bounded by `‖f‖` times the product of the `‖m i‖`. -/
theorem le_opNorm : ‖f m‖ ≤ ‖f‖ * ∏ i, ‖m i‖ := f.isLeast_opNorm.1.2 m
#align continuous_multilinear_map.le_op_norm ContinuousMultilinearMap.le_opNorm
@[deprecated (since := "2024-02-02")] alias le_op_norm := le_opNorm
variable {f m}
theorem le_mul_prod_of_le_opNorm_of_le {C : ℝ} {b : ι → ℝ} (hC : ‖f‖ ≤ C) (hm : ∀ i, ‖m i‖ ≤ b i) :
‖f m‖ ≤ C * ∏ i, b i :=
(f.le_opNorm m).trans <| mul_le_mul hC (prod_le_prod (fun _ _ ↦ norm_nonneg _) fun _ _ ↦ hm _)
(by positivity) ((opNorm_nonneg _).trans hC)
@[deprecated (since := "2024-02-02")]
alias le_mul_prod_of_le_op_norm_of_le := le_mul_prod_of_le_opNorm_of_le
variable (f)
theorem le_opNorm_mul_prod_of_le {b : ι → ℝ} (hm : ∀ i, ‖m i‖ ≤ b i) : ‖f m‖ ≤ ‖f‖ * ∏ i, b i :=
le_mul_prod_of_le_opNorm_of_le le_rfl hm
#align continuous_multilinear_map.le_op_norm_mul_prod_of_le ContinuousMultilinearMap.le_opNorm_mul_prod_of_le
@[deprecated (since := "2024-02-02")] alias le_op_norm_mul_prod_of_le := le_opNorm_mul_prod_of_le
theorem le_opNorm_mul_pow_card_of_le {b : ℝ} (hm : ‖m‖ ≤ b) :
‖f m‖ ≤ ‖f‖ * b ^ Fintype.card ι := by
simpa only [prod_const] using f.le_opNorm_mul_prod_of_le fun i => (norm_le_pi_norm m i).trans hm
#align continuous_multilinear_map.le_op_norm_mul_pow_card_of_le ContinuousMultilinearMap.le_opNorm_mul_pow_card_of_le
@[deprecated (since := "2024-02-02")]
alias le_op_norm_mul_pow_card_of_le := le_opNorm_mul_pow_card_of_le
theorem le_opNorm_mul_pow_of_le {n : ℕ} {Ei : Fin n → Type*} [∀ i, SeminormedAddCommGroup (Ei i)]
[∀ i, NormedSpace 𝕜 (Ei i)] (f : ContinuousMultilinearMap 𝕜 Ei G) {m : ∀ i, Ei i} {b : ℝ}
(hm : ‖m‖ ≤ b) : ‖f m‖ ≤ ‖f‖ * b ^ n := by
simpa only [Fintype.card_fin] using f.le_opNorm_mul_pow_card_of_le hm
#align continuous_multilinear_map.le_op_norm_mul_pow_of_le ContinuousMultilinearMap.le_opNorm_mul_pow_of_le
@[deprecated (since := "2024-02-02")] alias le_op_norm_mul_pow_of_le := le_opNorm_mul_pow_of_le
variable {f} (m)
theorem le_of_opNorm_le {C : ℝ} (h : ‖f‖ ≤ C) : ‖f m‖ ≤ C * ∏ i, ‖m i‖ :=
le_mul_prod_of_le_opNorm_of_le h fun _ ↦ le_rfl
#align continuous_multilinear_map.le_of_op_norm_le ContinuousMultilinearMap.le_of_opNorm_le
@[deprecated (since := "2024-02-02")] alias le_of_op_norm_le := le_of_opNorm_le
variable (f)
theorem ratio_le_opNorm : (‖f m‖ / ∏ i, ‖m i‖) ≤ ‖f‖ :=
div_le_of_nonneg_of_le_mul (by positivity) (opNorm_nonneg _) (f.le_opNorm m)
#align continuous_multilinear_map.ratio_le_op_norm ContinuousMultilinearMap.ratio_le_opNorm
@[deprecated (since := "2024-02-02")] alias ratio_le_op_norm := ratio_le_opNorm
/-- The image of the unit ball under a continuous multilinear map is bounded. -/
theorem unit_le_opNorm (h : ‖m‖ ≤ 1) : ‖f m‖ ≤ ‖f‖ :=
(le_opNorm_mul_pow_card_of_le f h).trans <| by simp
#align continuous_multilinear_map.unit_le_op_norm ContinuousMultilinearMap.unit_le_opNorm
@[deprecated (since := "2024-02-02")] alias unit_le_op_norm := unit_le_opNorm
/-- If one controls the norm of every `f x`, then one controls the norm of `f`. -/
theorem opNorm_le_bound {M : ℝ} (hMp : 0 ≤ M) (hM : ∀ m, ‖f m‖ ≤ M * ∏ i, ‖m i‖) : ‖f‖ ≤ M :=
csInf_le bounds_bddBelow ⟨hMp, hM⟩
#align continuous_multilinear_map.op_norm_le_bound ContinuousMultilinearMap.opNorm_le_bound
@[deprecated (since := "2024-02-02")] alias op_norm_le_bound := opNorm_le_bound
theorem opNorm_le_iff {C : ℝ} (hC : 0 ≤ C) : ‖f‖ ≤ C ↔ ∀ m, ‖f m‖ ≤ C * ∏ i, ‖m i‖ :=
⟨fun h _ ↦ le_of_opNorm_le _ h, opNorm_le_bound _ hC⟩
@[deprecated (since := "2024-02-02")] alias op_norm_le_iff := opNorm_le_iff
/-- The operator norm satisfies the triangle inequality. -/
theorem opNorm_add_le : ‖f + g‖ ≤ ‖f‖ + ‖g‖ :=
opNorm_le_bound _ (add_nonneg (opNorm_nonneg _) (opNorm_nonneg _)) fun x => by
rw [add_mul]
exact norm_add_le_of_le (le_opNorm _ _) (le_opNorm _ _)
#align continuous_multilinear_map.op_norm_add_le ContinuousMultilinearMap.opNorm_add_le
@[deprecated (since := "2024-02-02")] alias op_norm_add_le := opNorm_add_le
theorem opNorm_zero : ‖(0 : ContinuousMultilinearMap 𝕜 E G)‖ = 0 :=
(opNorm_nonneg _).antisymm' <| opNorm_le_bound 0 le_rfl fun m => by simp
#align continuous_multilinear_map.op_norm_zero ContinuousMultilinearMap.opNorm_zero
@[deprecated (since := "2024-02-02")] alias op_norm_zero := opNorm_zero
section
variable {𝕜' : Type*} [NormedField 𝕜'] [NormedSpace 𝕜' G] [SMulCommClass 𝕜 𝕜' G]
theorem opNorm_smul_le (c : 𝕜') : ‖c • f‖ ≤ ‖c‖ * ‖f‖ :=
(c • f).opNorm_le_bound (mul_nonneg (norm_nonneg _) (opNorm_nonneg _)) fun m ↦ by
rw [smul_apply, norm_smul, mul_assoc]
exact mul_le_mul_of_nonneg_left (le_opNorm _ _) (norm_nonneg _)
#align continuous_multilinear_map.op_norm_smul_le ContinuousMultilinearMap.opNorm_smul_le
@[deprecated (since := "2024-02-02")] alias op_norm_smul_le := opNorm_smul_le
theorem opNorm_neg : ‖-f‖ = ‖f‖ := by
rw [norm_def]
apply congr_arg
ext
simp
#align continuous_multilinear_map.op_norm_neg ContinuousMultilinearMap.opNorm_neg
@[deprecated (since := "2024-02-02")] alias op_norm_neg := opNorm_neg
variable (𝕜 E G) in
/-- Operator seminorm on the space of continuous multilinear maps, as `Seminorm`.
We use this seminorm
to define a `SeminormedAddCommGroup` structure on `ContinuousMultilinearMap 𝕜 E G`,
but we have to override the projection `UniformSpace`
so that it is definitionally equal to the one coming from the topologies on `E` and `G`. -/
protected def seminorm : Seminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G) :=
.ofSMulLE norm opNorm_zero opNorm_add_le fun c f ↦ opNorm_smul_le f c
private lemma uniformity_eq_seminorm :
𝓤 (ContinuousMultilinearMap 𝕜 E G) = ⨅ r > 0, 𝓟 {f | ‖f.1 - f.2‖ < r} := by
refine (ContinuousMultilinearMap.seminorm 𝕜 E G).uniformity_eq_of_hasBasis
(ContinuousMultilinearMap.hasBasis_nhds_zero_of_basis Metric.nhds_basis_closedBall)
?_ fun (s, r) ⟨hs, hr⟩ ↦ ?_
· rcases NormedField.exists_lt_norm 𝕜 1 with ⟨c, hc⟩
have hc₀ : 0 < ‖c‖ := one_pos.trans hc
simp only [hasBasis_nhds_zero.mem_iff, Prod.exists]
use 1, closedBall 0 ‖c‖, closedBall 0 1
suffices ∀ f : ContinuousMultilinearMap 𝕜 E G, (∀ x, ‖x‖ ≤ ‖c‖ → ‖f x‖ ≤ 1) → ‖f‖ ≤ 1 by
simpa [NormedSpace.isVonNBounded_closedBall, closedBall_mem_nhds, Set.subset_def, Set.MapsTo]
intro f hf
refine opNorm_le_bound _ (by positivity) <|
f.1.bound_of_shell_of_continuous f.2 (fun _ ↦ hc₀) (fun _ ↦ hc) fun x hcx hx ↦ ?_
calc
‖f x‖ ≤ 1 := hf _ <| (pi_norm_le_iff_of_nonneg (norm_nonneg c)).2 fun i ↦ (hx i).le
_ = ∏ i : ι, 1 := by simp
_ ≤ ∏ i, ‖x i‖ := Finset.prod_le_prod (fun _ _ ↦ zero_le_one) fun i _ ↦ by
simpa only [div_self hc₀.ne'] using hcx i
_ = 1 * ∏ i, ‖x i‖ := (one_mul _).symm
· rcases (NormedSpace.isVonNBounded_iff' _).1 hs with ⟨ε, hε⟩
rcases exists_pos_mul_lt hr (ε ^ Fintype.card ι) with ⟨δ, hδ₀, hδ⟩
refine ⟨δ, hδ₀, fun f hf x hx ↦ ?_⟩
simp only [Seminorm.mem_ball_zero, mem_closedBall_zero_iff] at hf ⊢
replace hf : ‖f‖ ≤ δ := hf.le
replace hx : ‖x‖ ≤ ε := hε x hx
calc
‖f x‖ ≤ ‖f‖ * ε ^ Fintype.card ι := le_opNorm_mul_pow_card_of_le f hx
_ ≤ δ * ε ^ Fintype.card ι := by have := (norm_nonneg x).trans hx; gcongr
_ ≤ r := (mul_comm _ _).trans_le hδ.le
instance instPseudoMetricSpace : PseudoMetricSpace (ContinuousMultilinearMap 𝕜 E G) :=
.replaceUniformity
(ContinuousMultilinearMap.seminorm 𝕜 E G).toSeminormedAddCommGroup.toPseudoMetricSpace
uniformity_eq_seminorm
/-- Continuous multilinear maps themselves form a seminormed space with respect to
the operator norm. -/
instance seminormedAddCommGroup :
SeminormedAddCommGroup (ContinuousMultilinearMap 𝕜 E G) := ⟨fun _ _ ↦ rfl⟩
/-- An alias of `ContinuousMultilinearMap.seminormedAddCommGroup` with non-dependent types to help
typeclass search. -/
instance seminormedAddCommGroup' :
SeminormedAddCommGroup (ContinuousMultilinearMap 𝕜 (fun _ : ι => G) G') :=
ContinuousMultilinearMap.seminormedAddCommGroup
instance normedSpace : NormedSpace 𝕜' (ContinuousMultilinearMap 𝕜 E G) :=
⟨fun c f => f.opNorm_smul_le c⟩
#align continuous_multilinear_map.normed_space ContinuousMultilinearMap.normedSpace
/-- An alias of `ContinuousMultilinearMap.normedSpace` with non-dependent types to help typeclass
search. -/
instance normedSpace' : NormedSpace 𝕜' (ContinuousMultilinearMap 𝕜 (fun _ : ι => G') G) :=
ContinuousMultilinearMap.normedSpace
#align continuous_multilinear_map.normed_space' ContinuousMultilinearMap.normedSpace'
/-- The fundamental property of the operator norm of a continuous multilinear map:
`‖f m‖` is bounded by `‖f‖` times the product of the `‖m i‖`, `nnnorm` version. -/
theorem le_opNNNorm : ‖f m‖₊ ≤ ‖f‖₊ * ∏ i, ‖m i‖₊ :=
NNReal.coe_le_coe.1 <| by
push_cast
exact f.le_opNorm m
#align continuous_multilinear_map.le_op_nnnorm ContinuousMultilinearMap.le_opNNNorm
@[deprecated (since := "2024-02-02")] alias le_op_nnnorm := le_opNNNorm
theorem le_of_opNNNorm_le {C : ℝ≥0} (h : ‖f‖₊ ≤ C) : ‖f m‖₊ ≤ C * ∏ i, ‖m i‖₊ :=
(f.le_opNNNorm m).trans <| mul_le_mul' h le_rfl
#align continuous_multilinear_map.le_of_op_nnnorm_le ContinuousMultilinearMap.le_of_opNNNorm_le
@[deprecated (since := "2024-02-02")] alias le_of_op_nnnorm_le := le_of_opNNNorm_le
theorem opNNNorm_le_iff {C : ℝ≥0} : ‖f‖₊ ≤ C ↔ ∀ m, ‖f m‖₊ ≤ C * ∏ i, ‖m i‖₊ := by
simp only [← NNReal.coe_le_coe]; simp [opNorm_le_iff _ C.coe_nonneg, NNReal.coe_prod]
@[deprecated (since := "2024-02-02")] alias op_nnnorm_le_iff := opNNNorm_le_iff
theorem isLeast_opNNNorm : IsLeast {C : ℝ≥0 | ∀ m, ‖f m‖₊ ≤ C * ∏ i, ‖m i‖₊} ‖f‖₊ := by
simpa only [← opNNNorm_le_iff] using isLeast_Ici
@[deprecated (since := "2024-02-02")] alias isLeast_op_nnnorm := isLeast_opNNNorm
theorem opNNNorm_prod (f : ContinuousMultilinearMap 𝕜 E G) (g : ContinuousMultilinearMap 𝕜 E G') :
‖f.prod g‖₊ = max ‖f‖₊ ‖g‖₊ :=
eq_of_forall_ge_iff fun _ ↦ by
simp only [opNNNorm_le_iff, prod_apply, Prod.nnnorm_def', max_le_iff, forall_and]
@[deprecated (since := "2024-02-02")] alias op_nnnorm_prod := opNNNorm_prod
theorem opNorm_prod (f : ContinuousMultilinearMap 𝕜 E G) (g : ContinuousMultilinearMap 𝕜 E G') :
‖f.prod g‖ = max ‖f‖ ‖g‖ :=
congr_arg NNReal.toReal (opNNNorm_prod f g)
#align continuous_multilinear_map.op_norm_prod ContinuousMultilinearMap.opNorm_prod
@[deprecated (since := "2024-02-02")] alias op_norm_prod := opNorm_prod
theorem opNNNorm_pi
[∀ i', SeminormedAddCommGroup (E' i')] [∀ i', NormedSpace 𝕜 (E' i')]
(f : ∀ i', ContinuousMultilinearMap 𝕜 E (E' i')) : ‖pi f‖₊ = ‖f‖₊ :=
eq_of_forall_ge_iff fun _ ↦ by simpa [opNNNorm_le_iff, pi_nnnorm_le_iff] using forall_swap
theorem opNorm_pi {ι' : Type v'} [Fintype ι'] {E' : ι' → Type wE'}
[∀ i', SeminormedAddCommGroup (E' i')] [∀ i', NormedSpace 𝕜 (E' i')]
(f : ∀ i', ContinuousMultilinearMap 𝕜 E (E' i')) :
‖pi f‖ = ‖f‖ :=
congr_arg NNReal.toReal (opNNNorm_pi f)
#align continuous_multilinear_map.norm_pi ContinuousMultilinearMap.opNorm_pi
@[deprecated (since := "2024-02-02")] alias op_norm_pi := opNorm_pi
section
@[simp]
theorem norm_ofSubsingleton [Subsingleton ι] (i : ι) (f : G →L[𝕜] G') :
‖ofSubsingleton 𝕜 G G' i f‖ = ‖f‖ := by
letI : Unique ι := uniqueOfSubsingleton i
simp [norm_def, ContinuousLinearMap.norm_def, (Equiv.funUnique _ _).symm.surjective.forall]
@[simp]
theorem nnnorm_ofSubsingleton [Subsingleton ι] (i : ι) (f : G →L[𝕜] G') :
‖ofSubsingleton 𝕜 G G' i f‖₊ = ‖f‖₊ :=
NNReal.eq <| norm_ofSubsingleton i f
variable (𝕜 G)
/-- Linear isometry between continuous linear maps from `G` to `G'`
and continuous `1`-multilinear maps from `G` to `G'`. -/
@[simps apply symm_apply]
def ofSubsingletonₗᵢ [Subsingleton ι] (i : ι) :
(G →L[𝕜] G') ≃ₗᵢ[𝕜] ContinuousMultilinearMap 𝕜 (fun _ : ι ↦ G) G' :=
{ ofSubsingleton 𝕜 G G' i with
map_add' := fun _ _ ↦ rfl
map_smul' := fun _ _ ↦ rfl
norm_map' := norm_ofSubsingleton i }
theorem norm_ofSubsingleton_id_le [Subsingleton ι] (i : ι) :
‖ofSubsingleton 𝕜 G G i (.id _ _)‖ ≤ 1 := by
rw [norm_ofSubsingleton]
apply ContinuousLinearMap.norm_id_le
#align continuous_multilinear_map.norm_of_subsingleton_le ContinuousMultilinearMap.norm_ofSubsingleton_id_le
theorem nnnorm_ofSubsingleton_id_le [Subsingleton ι] (i : ι) :
‖ofSubsingleton 𝕜 G G i (.id _ _)‖₊ ≤ 1 :=
norm_ofSubsingleton_id_le _ _ _
#align continuous_multilinear_map.nnnorm_of_subsingleton_le ContinuousMultilinearMap.nnnorm_ofSubsingleton_id_le
variable {G} (E)
@[simp]
theorem norm_constOfIsEmpty [IsEmpty ι] (x : G) : ‖constOfIsEmpty 𝕜 E x‖ = ‖x‖ := by
apply le_antisymm
· refine opNorm_le_bound _ (norm_nonneg _) fun x => ?_
rw [Fintype.prod_empty, mul_one, constOfIsEmpty_apply]
· simpa using (constOfIsEmpty 𝕜 E x).le_opNorm 0
#align continuous_multilinear_map.norm_const_of_is_empty ContinuousMultilinearMap.norm_constOfIsEmpty
@[simp]
theorem nnnorm_constOfIsEmpty [IsEmpty ι] (x : G) : ‖constOfIsEmpty 𝕜 E x‖₊ = ‖x‖₊ :=
NNReal.eq <| norm_constOfIsEmpty _ _ _
#align continuous_multilinear_map.nnnorm_const_of_is_empty ContinuousMultilinearMap.nnnorm_constOfIsEmpty
end
section
variable (𝕜 E E' G G')
/-- `ContinuousMultilinearMap.prod` as a `LinearIsometryEquiv`. -/
def prodL :
ContinuousMultilinearMap 𝕜 E G × ContinuousMultilinearMap 𝕜 E G' ≃ₗᵢ[𝕜]
ContinuousMultilinearMap 𝕜 E (G × G') where
toFun f := f.1.prod f.2
invFun f :=
((ContinuousLinearMap.fst 𝕜 G G').compContinuousMultilinearMap f,
(ContinuousLinearMap.snd 𝕜 G G').compContinuousMultilinearMap f)
map_add' f g := rfl
map_smul' c f := rfl
left_inv f := by ext <;> rfl
right_inv f := by ext <;> rfl
norm_map' f := opNorm_prod f.1 f.2
set_option linter.uppercaseLean3 false in
#align continuous_multilinear_map.prodL ContinuousMultilinearMap.prodL
/-- `ContinuousMultilinearMap.pi` as a `LinearIsometryEquiv`. -/
def piₗᵢ {ι' : Type v'} [Fintype ι'] {E' : ι' → Type wE'} [∀ i', NormedAddCommGroup (E' i')]
[∀ i', NormedSpace 𝕜 (E' i')] :
@LinearIsometryEquiv 𝕜 𝕜 _ _ (RingHom.id 𝕜) _ _ _ (∀ i', ContinuousMultilinearMap 𝕜 E (E' i'))
(ContinuousMultilinearMap 𝕜 E (∀ i, E' i)) _ _ (@Pi.module ι' _ 𝕜 _ _ fun _ => inferInstance)
_ where
toLinearEquiv := piLinearEquiv
norm_map' := opNorm_pi
#align continuous_multilinear_map.piₗᵢ ContinuousMultilinearMap.piₗᵢ
end
end
section RestrictScalars
variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜' 𝕜]
variable [NormedSpace 𝕜' G] [IsScalarTower 𝕜' 𝕜 G]
variable [∀ i, NormedSpace 𝕜' (E i)] [∀ i, IsScalarTower 𝕜' 𝕜 (E i)]
@[simp]
theorem norm_restrictScalars : ‖f.restrictScalars 𝕜'‖ = ‖f‖ := rfl
#align continuous_multilinear_map.norm_restrict_scalars ContinuousMultilinearMap.norm_restrictScalars
variable (𝕜')
/-- `ContinuousMultilinearMap.restrictScalars` as a `LinearIsometry`. -/
def restrictScalarsₗᵢ : ContinuousMultilinearMap 𝕜 E G →ₗᵢ[𝕜'] ContinuousMultilinearMap 𝕜' E G where
toFun := restrictScalars 𝕜'
map_add' _ _ := rfl
map_smul' _ _ := rfl
norm_map' _ := rfl
#align continuous_multilinear_map.restrict_scalarsₗᵢ ContinuousMultilinearMap.restrictScalarsₗᵢ
/-- `ContinuousMultilinearMap.restrictScalars` as a `ContinuousLinearMap`. -/
def restrictScalarsLinear : ContinuousMultilinearMap 𝕜 E G →L[𝕜'] ContinuousMultilinearMap 𝕜' E G :=
(restrictScalarsₗᵢ 𝕜').toContinuousLinearMap
#align continuous_multilinear_map.restrict_scalars_linear ContinuousMultilinearMap.restrictScalarsLinear
variable {𝕜'}
theorem continuous_restrictScalars :
Continuous
(restrictScalars 𝕜' : ContinuousMultilinearMap 𝕜 E G → ContinuousMultilinearMap 𝕜' E G) :=
(restrictScalarsLinear 𝕜').continuous
#align continuous_multilinear_map.continuous_restrict_scalars ContinuousMultilinearMap.continuous_restrictScalars
end RestrictScalars
/-- The difference `f m₁ - f m₂` is controlled in terms of `‖f‖` and `‖m₁ - m₂‖`, precise version.
For a less precise but more usable version, see `norm_image_sub_le`. The bound reads
`‖f m - f m'‖ ≤
‖f‖ * ‖m 1 - m' 1‖ * max ‖m 2‖ ‖m' 2‖ * max ‖m 3‖ ‖m' 3‖ * ... * max ‖m n‖ ‖m' n‖ + ...`,
where the other terms in the sum are the same products where `1` is replaced by any `i`. -/
theorem norm_image_sub_le' [DecidableEq ι] (m₁ m₂ : ∀ i, E i) :
‖f m₁ - f m₂‖ ≤ ‖f‖ * ∑ i, ∏ j, if j = i then ‖m₁ i - m₂ i‖ else max ‖m₁ j‖ ‖m₂ j‖ :=
f.toMultilinearMap.norm_image_sub_le_of_bound' (norm_nonneg _) f.le_opNorm _ _
#align continuous_multilinear_map.norm_image_sub_le' ContinuousMultilinearMap.norm_image_sub_le'
/-- The difference `f m₁ - f m₂` is controlled in terms of `‖f‖` and `‖m₁ - m₂‖`, less precise
version. For a more precise but less usable version, see `norm_image_sub_le'`.
The bound is `‖f m - f m'‖ ≤ ‖f‖ * card ι * ‖m - m'‖ * (max ‖m‖ ‖m'‖) ^ (card ι - 1)`. -/
theorem norm_image_sub_le (m₁ m₂ : ∀ i, E i) :
‖f m₁ - f m₂‖ ≤ ‖f‖ * Fintype.card ι * max ‖m₁‖ ‖m₂‖ ^ (Fintype.card ι - 1) * ‖m₁ - m₂‖ :=
f.toMultilinearMap.norm_image_sub_le_of_bound (norm_nonneg _) f.le_opNorm _ _
#align continuous_multilinear_map.norm_image_sub_le ContinuousMultilinearMap.norm_image_sub_le
/-- Applying a multilinear map to a vector is continuous in both coordinates. -/
theorem continuous_eval : Continuous
fun p : ContinuousMultilinearMap 𝕜 E G × ∀ i, E i => p.1 p.2 := by
apply continuous_iff_continuousAt.2 fun p => ?_
apply
continuousAt_of_locally_lipschitz zero_lt_one
((‖p‖ + 1) * Fintype.card ι * (‖p‖ + 1) ^ (Fintype.card ι - 1) + ∏ i, ‖p.2 i‖) fun q hq => ?_
have : 0 ≤ max ‖q.2‖ ‖p.2‖ := by simp
have : 0 ≤ ‖p‖ + 1 := zero_le_one.trans ((le_add_iff_nonneg_left 1).2 <| norm_nonneg p)
have A : ‖q‖ ≤ ‖p‖ + 1 := norm_le_of_mem_closedBall hq.le
have : max ‖q.2‖ ‖p.2‖ ≤ ‖p‖ + 1 :=
(max_le_max (norm_snd_le q) (norm_snd_le p)).trans (by simp [A, zero_le_one])
have : ∀ i : ι, i ∈ univ → 0 ≤ ‖p.2 i‖ := fun i _ => norm_nonneg _
calc
dist (q.1 q.2) (p.1 p.2) ≤ dist (q.1 q.2) (q.1 p.2) + dist (q.1 p.2) (p.1 p.2) :=
dist_triangle _ _ _
_ = ‖q.1 q.2 - q.1 p.2‖ + ‖q.1 p.2 - p.1 p.2‖ := by rw [dist_eq_norm, dist_eq_norm]
_ ≤ ‖q.1‖ * Fintype.card ι * max ‖q.2‖ ‖p.2‖ ^ (Fintype.card ι - 1) * ‖q.2 - p.2‖ +
‖q.1 - p.1‖ * ∏ i, ‖p.2 i‖ :=
(add_le_add (norm_image_sub_le _ _ _) ((q.1 - p.1).le_opNorm p.2))
_ ≤ (‖p‖ + 1) * Fintype.card ι * (‖p‖ + 1) ^ (Fintype.card ι - 1) * ‖q - p‖ +
‖q - p‖ * ∏ i, ‖p.2 i‖ := by
apply_rules [add_le_add, mul_le_mul, le_refl, le_trans (norm_fst_le q) A, Nat.cast_nonneg,
mul_nonneg, pow_le_pow_left, pow_nonneg, norm_snd_le (q - p), norm_nonneg,
norm_fst_le (q - p), prod_nonneg]
_ = ((‖p‖ + 1) * Fintype.card ι * (‖p‖ + 1) ^ (Fintype.card ι - 1) + ∏ i, ‖p.2 i‖)
* dist q p := by
rw [dist_eq_norm]
ring
#align continuous_multilinear_map.continuous_eval ContinuousMultilinearMap.continuous_eval
end ContinuousMultilinearMap
/-- If a continuous multilinear map is constructed from a multilinear map via the constructor
`mkContinuous`, then its norm is bounded by the bound given to the constructor if it is
nonnegative. -/
theorem MultilinearMap.mkContinuous_norm_le (f : MultilinearMap 𝕜 E G) {C : ℝ} (hC : 0 ≤ C)
(H : ∀ m, ‖f m‖ ≤ C * ∏ i, ‖m i‖) : ‖f.mkContinuous C H‖ ≤ C :=
ContinuousMultilinearMap.opNorm_le_bound _ hC fun m => H m
#align multilinear_map.mk_continuous_norm_le MultilinearMap.mkContinuous_norm_le
/-- If a continuous multilinear map is constructed from a multilinear map via the constructor
`mkContinuous`, then its norm is bounded by the bound given to the constructor if it is
nonnegative. -/
theorem MultilinearMap.mkContinuous_norm_le' (f : MultilinearMap 𝕜 E G) {C : ℝ}
(H : ∀ m, ‖f m‖ ≤ C * ∏ i, ‖m i‖) : ‖f.mkContinuous C H‖ ≤ max C 0 :=
ContinuousMultilinearMap.opNorm_le_bound _ (le_max_right _ _) fun m ↦ (H m).trans <|
mul_le_mul_of_nonneg_right (le_max_left _ _) <| by positivity
#align multilinear_map.mk_continuous_norm_le' MultilinearMap.mkContinuous_norm_le'
namespace ContinuousMultilinearMap
/-- Given a continuous multilinear map `f` on `n` variables (parameterized by `Fin n`) and a subset
`s` of `k` of these variables, one gets a new continuous multilinear map on `Fin k` by varying
these variables, and fixing the other ones equal to a given value `z`. It is denoted by
`f.restr s hk z`, where `hk` is a proof that the cardinality of `s` is `k`. The implicit
identification between `Fin k` and `s` that we use is the canonical (increasing) bijection. -/
def restr {k n : ℕ} (f : (G[×n]→L[𝕜] G' : _)) (s : Finset (Fin n)) (hk : s.card = k) (z : G) :
G[×k]→L[𝕜] G' :=
(f.toMultilinearMap.restr s hk z).mkContinuous (‖f‖ * ‖z‖ ^ (n - k)) fun _ =>
MultilinearMap.restr_norm_le _ _ _ _ f.le_opNorm _
#align continuous_multilinear_map.restr ContinuousMultilinearMap.restr
theorem norm_restr {k n : ℕ} (f : G[×n]→L[𝕜] G') (s : Finset (Fin n)) (hk : s.card = k) (z : G) :
‖f.restr s hk z‖ ≤ ‖f‖ * ‖z‖ ^ (n - k) := by
apply MultilinearMap.mkContinuous_norm_le
exact mul_nonneg (norm_nonneg _) (pow_nonneg (norm_nonneg _) _)
#align continuous_multilinear_map.norm_restr ContinuousMultilinearMap.norm_restr
section
variable {A : Type*} [NormedCommRing A] [NormedAlgebra 𝕜 A]
@[simp]
theorem norm_mkPiAlgebra_le [Nonempty ι] : ‖ContinuousMultilinearMap.mkPiAlgebra 𝕜 ι A‖ ≤ 1 := by
refine opNorm_le_bound _ zero_le_one fun m => ?_
simp only [ContinuousMultilinearMap.mkPiAlgebra_apply, one_mul]
exact norm_prod_le' _ univ_nonempty _
#align continuous_multilinear_map.norm_mk_pi_algebra_le ContinuousMultilinearMap.norm_mkPiAlgebra_le
theorem norm_mkPiAlgebra_of_empty [IsEmpty ι] :
‖ContinuousMultilinearMap.mkPiAlgebra 𝕜 ι A‖ = ‖(1 : A)‖ := by
apply le_antisymm
· apply opNorm_le_bound <;> simp
· -- Porting note: have to annotate types to get mvars to unify
convert ratio_le_opNorm (ContinuousMultilinearMap.mkPiAlgebra 𝕜 ι A) fun _ => (1 : A)
simp [eq_empty_of_isEmpty (univ : Finset ι)]
#align continuous_multilinear_map.norm_mk_pi_algebra_of_empty ContinuousMultilinearMap.norm_mkPiAlgebra_of_empty
@[simp]
theorem norm_mkPiAlgebra [NormOneClass A] : ‖ContinuousMultilinearMap.mkPiAlgebra 𝕜 ι A‖ = 1 := by
cases isEmpty_or_nonempty ι
· simp [norm_mkPiAlgebra_of_empty]
· refine le_antisymm norm_mkPiAlgebra_le ?_
convert ratio_le_opNorm (ContinuousMultilinearMap.mkPiAlgebra 𝕜 ι A) fun _ => 1
simp
#align continuous_multilinear_map.norm_mk_pi_algebra ContinuousMultilinearMap.norm_mkPiAlgebra
end
section
variable {n : ℕ} {A : Type*} [NormedRing A] [NormedAlgebra 𝕜 A]
theorem norm_mkPiAlgebraFin_succ_le : ‖ContinuousMultilinearMap.mkPiAlgebraFin 𝕜 n.succ A‖ ≤ 1 := by
refine opNorm_le_bound _ zero_le_one fun m => ?_
simp only [ContinuousMultilinearMap.mkPiAlgebraFin_apply, one_mul, List.ofFn_eq_map,
Fin.prod_univ_def, Multiset.map_coe, Multiset.prod_coe]
refine (List.norm_prod_le' ?_).trans_eq ?_
· rw [Ne, List.map_eq_nil, List.finRange_eq_nil]
exact Nat.succ_ne_zero _
rw [List.map_map, Function.comp_def]
#align continuous_multilinear_map.norm_mk_pi_algebra_fin_succ_le ContinuousMultilinearMap.norm_mkPiAlgebraFin_succ_le
| Mathlib/Analysis/NormedSpace/Multilinear/Basic.lean | 837 | 840 | theorem norm_mkPiAlgebraFin_le_of_pos (hn : 0 < n) :
‖ContinuousMultilinearMap.mkPiAlgebraFin 𝕜 n A‖ ≤ 1 := by |
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero hn.ne'
exact norm_mkPiAlgebraFin_succ_le
|
/-
Copyright (c) 2020 Alena Gusakov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alena Gusakov, Arthur Paulino, Kyle Miller
-/
import Mathlib.Combinatorics.SimpleGraph.DegreeSum
import Mathlib.Combinatorics.SimpleGraph.Subgraph
#align_import combinatorics.simple_graph.matching from "leanprover-community/mathlib"@"138448ae98f529ef34eeb61114191975ee2ca508"
/-!
# Matchings
A *matching* for a simple graph is a set of disjoint pairs of adjacent vertices, and the set of all
the vertices in a matching is called its *support* (and sometimes the vertices in the support are
said to be *saturated* by the matching). A *perfect matching* is a matching whose support contains
every vertex of the graph.
In this module, we represent a matching as a subgraph whose vertices are each incident to at most
one edge, and the edges of the subgraph represent the paired vertices.
## Main definitions
* `SimpleGraph.Subgraph.IsMatching`: `M.IsMatching` means that `M` is a matching of its
underlying graph.
denoted `M.is_matching`.
* `SimpleGraph.Subgraph.IsPerfectMatching` defines when a subgraph `M` of a simple graph is a
perfect matching, denoted `M.IsPerfectMatching`.
## TODO
* Define an `other` function and prove useful results about it (https://leanprover.zulipchat.com/#narrow/stream/252551-graph-theory/topic/matchings/near/266205863)
* Provide a bicoloring for matchings (https://leanprover.zulipchat.com/#narrow/stream/252551-graph-theory/topic/matchings/near/265495120)
* Tutte's Theorem
* Hall's Marriage Theorem (see combinatorics.hall)
-/
universe u
namespace SimpleGraph
variable {V : Type u} {G : SimpleGraph V} (M : Subgraph G)
namespace Subgraph
/--
The subgraph `M` of `G` is a matching if every vertex of `M` is incident to exactly one edge in `M`.
We say that the vertices in `M.support` are *matched* or *saturated*.
-/
def IsMatching : Prop := ∀ ⦃v⦄, v ∈ M.verts → ∃! w, M.Adj v w
#align simple_graph.subgraph.is_matching SimpleGraph.Subgraph.IsMatching
/-- Given a vertex, returns the unique edge of the matching it is incident to. -/
noncomputable def IsMatching.toEdge {M : Subgraph G} (h : M.IsMatching) (v : M.verts) : M.edgeSet :=
⟨s(v, (h v.property).choose), (h v.property).choose_spec.1⟩
#align simple_graph.subgraph.is_matching.to_edge SimpleGraph.Subgraph.IsMatching.toEdge
theorem IsMatching.toEdge_eq_of_adj {M : Subgraph G} (h : M.IsMatching) {v w : V} (hv : v ∈ M.verts)
(hvw : M.Adj v w) : h.toEdge ⟨v, hv⟩ = ⟨s(v, w), hvw⟩ := by
simp only [IsMatching.toEdge, Subtype.mk_eq_mk]
congr
exact ((h (M.edge_vert hvw)).choose_spec.2 w hvw).symm
#align simple_graph.subgraph.is_matching.to_edge_eq_of_adj SimpleGraph.Subgraph.IsMatching.toEdge_eq_of_adj
| Mathlib/Combinatorics/SimpleGraph/Matching.lean | 70 | 74 | theorem IsMatching.toEdge.surjective {M : Subgraph G} (h : M.IsMatching) :
Function.Surjective h.toEdge := by |
rintro ⟨e, he⟩
refine Sym2.ind (fun x y he => ?_) e he
exact ⟨⟨x, M.edge_vert he⟩, h.toEdge_eq_of_adj _ he⟩
|
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Data.Sigma.Basic
import Mathlib.Algebra.Order.Ring.Nat
#align_import set_theory.lists from "leanprover-community/mathlib"@"497d1e06409995dd8ec95301fa8d8f3480187f4c"
/-!
# A computable model of ZFA without infinity
In this file we define finite hereditary lists. This is useful for calculations in naive set theory.
We distinguish two kinds of ZFA lists:
* Atoms. Directly correspond to an element of the original type.
* Proper ZFA lists. Can be thought of (but aren't implemented) as a list of ZFA lists (not
necessarily proper).
For example, `Lists ℕ` contains stuff like `23`, `[]`, `[37]`, `[1, [[2], 3], 4]`.
## Implementation note
As we want to be able to append both atoms and proper ZFA lists to proper ZFA lists, it's handy that
atoms and proper ZFA lists belong to the same type, even though atoms of `α` could be modelled as
`α` directly. But we don't want to be able to append anything to atoms.
This calls for a two-steps definition of ZFA lists:
* First, define ZFA prelists as atoms and proper ZFA prelists. Those proper ZFA prelists are defined
by inductive appending of (not necessarily proper) ZFA lists.
* Second, define ZFA lists by rubbing out the distinction between atoms and proper lists.
## Main declarations
* `Lists' α false`: Atoms as ZFA prelists. Basically a copy of `α`.
* `Lists' α true`: Proper ZFA prelists. Defined inductively from the empty ZFA prelist
(`Lists'.nil`) and from appending a ZFA prelist to a proper ZFA prelist (`Lists'.cons a l`).
* `Lists α`: ZFA lists. Sum of the atoms and proper ZFA prelists.
* `Finsets α`: ZFA sets. Defined as `Lists` quotiented by `Lists.Equiv`, the extensional
equivalence.
-/
variable {α : Type*}
/-- Prelists, helper type to define `Lists`. `Lists' α false` are the "atoms", a copy of `α`.
`Lists' α true` are the "proper" ZFA prelists, inductively defined from the empty ZFA prelist and
from appending a ZFA prelist to a proper ZFA prelist. It is made so that you can't append anything
to an atom while having only one appending function for appending both atoms and proper ZFC prelists
to a proper ZFA prelist. -/
inductive Lists'.{u} (α : Type u) : Bool → Type u
| atom : α → Lists' α false
| nil : Lists' α true
| cons' {b} : Lists' α b → Lists' α true → Lists' α true
deriving DecidableEq
#align lists' Lists'
compile_inductive% Lists'
/-- Hereditarily finite list, aka ZFA list. A ZFA list is either an "atom" (`b = false`),
corresponding to an element of `α`, or a "proper" ZFA list, inductively defined from the empty ZFA
list and from appending a ZFA list to a proper ZFA list. -/
def Lists (α : Type*) :=
Σb, Lists' α b
#align lists Lists
namespace Lists'
instance [Inhabited α] : ∀ b, Inhabited (Lists' α b)
| true => ⟨nil⟩
| false => ⟨atom default⟩
/-- Appending a ZFA list to a proper ZFA prelist. -/
def cons : Lists α → Lists' α true → Lists' α true
| ⟨_, a⟩, l => cons' a l
#align lists'.cons Lists'.cons
/-- Converts a ZFA prelist to a `List` of ZFA lists. Atoms are sent to `[]`. -/
@[simp]
def toList : ∀ {b}, Lists' α b → List (Lists α)
| _, atom _ => []
| _, nil => []
| _, cons' a l => ⟨_, a⟩ :: l.toList
#align lists'.to_list Lists'.toList
-- Porting note (#10618): removed @[simp]
-- simp can prove this: by simp only [@Lists'.toList, @Sigma.eta]
theorem toList_cons (a : Lists α) (l) : toList (cons a l) = a :: l.toList := by simp
#align lists'.to_list_cons Lists'.toList_cons
/-- Converts a `List` of ZFA lists to a proper ZFA prelist. -/
@[simp]
def ofList : List (Lists α) → Lists' α true
| [] => nil
| a :: l => cons a (ofList l)
#align lists'.of_list Lists'.ofList
@[simp]
theorem to_ofList (l : List (Lists α)) : toList (ofList l) = l := by induction l <;> simp [*]
#align lists'.to_of_list Lists'.to_ofList
@[simp]
theorem of_toList : ∀ l : Lists' α true, ofList (toList l) = l :=
suffices
∀ (b) (h : true = b) (l : Lists' α b),
let l' : Lists' α true := by rw [h]; exact l
ofList (toList l') = l'
from this _ rfl
fun b h l => by
induction l with
| atom => cases h
-- Porting note: case nil was not covered.
| nil => simp
| cons' b a _ IH =>
intro l'
-- Porting note: Previous code was:
-- change l' with cons' a l
--
-- This can be removed.
simpa [cons, l'] using IH rfl
#align lists'.of_to_list Lists'.of_toList
end Lists'
mutual
/-- Equivalence of ZFA lists. Defined inductively. -/
inductive Lists.Equiv : Lists α → Lists α → Prop
| refl (l) : Lists.Equiv l l
| antisymm {l₁ l₂ : Lists' α true} :
Lists'.Subset l₁ l₂ → Lists'.Subset l₂ l₁ → Lists.Equiv ⟨_, l₁⟩ ⟨_, l₂⟩
/-- Subset relation for ZFA lists. Defined inductively. -/
inductive Lists'.Subset : Lists' α true → Lists' α true → Prop
| nil {l} : Lists'.Subset Lists'.nil l
| cons {a a' l l'} :
Lists.Equiv a a' →
a' ∈ Lists'.toList l' → Lists'.Subset l l' → Lists'.Subset (Lists'.cons a l) l'
end
#align lists.equiv Lists.Equiv
#align lists'.subset Lists'.Subset
local infixl:50 " ~ " => Lists.Equiv
namespace Lists'
instance : HasSubset (Lists' α true) :=
⟨Lists'.Subset⟩
/-- ZFA prelist membership. A ZFA list is in a ZFA prelist if some element of this ZFA prelist is
equivalent as a ZFA list to this ZFA list. -/
instance {b} : Membership (Lists α) (Lists' α b) :=
⟨fun a l => ∃ a' ∈ l.toList, a ~ a'⟩
theorem mem_def {b a} {l : Lists' α b} : a ∈ l ↔ ∃ a' ∈ l.toList, a ~ a' :=
Iff.rfl
#align lists'.mem_def Lists'.mem_def
@[simp]
theorem mem_cons {a y l} : a ∈ @cons α y l ↔ a ~ y ∨ a ∈ l := by
simp [mem_def, or_and_right, exists_or]
#align lists'.mem_cons Lists'.mem_cons
theorem cons_subset {a} {l₁ l₂ : Lists' α true} : Lists'.cons a l₁ ⊆ l₂ ↔ a ∈ l₂ ∧ l₁ ⊆ l₂ := by
refine ⟨fun h => ?_, fun ⟨⟨a', m, e⟩, s⟩ => Subset.cons e m s⟩
generalize h' : Lists'.cons a l₁ = l₁' at h
cases' h with l a' a'' l l' e m s;
· cases a
cases h'
cases a; cases a'; cases h'; exact ⟨⟨_, m, e⟩, s⟩
#align lists'.cons_subset Lists'.cons_subset
theorem ofList_subset {l₁ l₂ : List (Lists α)} (h : l₁ ⊆ l₂) :
Lists'.ofList l₁ ⊆ Lists'.ofList l₂ := by
induction' l₁ with _ _ l₁_ih; · exact Subset.nil
refine Subset.cons (Lists.Equiv.refl _) ?_ (l₁_ih (List.subset_of_cons_subset h))
simp only [List.cons_subset] at h; simp [h]
#align lists'.of_list_subset Lists'.ofList_subset
@[refl]
theorem Subset.refl {l : Lists' α true} : l ⊆ l := by
rw [← Lists'.of_toList l]; exact ofList_subset (List.Subset.refl _)
#align lists'.subset.refl Lists'.Subset.refl
| Mathlib/SetTheory/Lists.lean | 184 | 188 | theorem subset_nil {l : Lists' α true} : l ⊆ Lists'.nil → l = Lists'.nil := by |
rw [← of_toList l]
induction toList l <;> intro h
· rfl
· rcases cons_subset.1 h with ⟨⟨_, ⟨⟩, _⟩, _⟩
|
/-
Copyright (c) 2020 Kexing Ying and Kevin Buzzard. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying, Kevin Buzzard, Yury Kudryashov
-/
import Mathlib.Algebra.BigOperators.GroupWithZero.Finset
import Mathlib.Algebra.Group.FiniteSupport
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Set.Subsingleton
#align_import algebra.big_operators.finprod from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
/-!
# Finite products and sums over types and sets
We define products and sums over types and subsets of types, with no finiteness hypotheses.
All infinite products and sums are defined to be junk values (i.e. one or zero).
This approach is sometimes easier to use than `Finset.sum`,
when issues arise with `Finset` and `Fintype` being data.
## Main definitions
We use the following variables:
* `α`, `β` - types with no structure;
* `s`, `t` - sets
* `M`, `N` - additive or multiplicative commutative monoids
* `f`, `g` - functions
Definitions in this file:
* `finsum f : M` : the sum of `f x` as `x` ranges over the support of `f`, if it's finite.
Zero otherwise.
* `finprod f : M` : the product of `f x` as `x` ranges over the multiplicative support of `f`, if
it's finite. One otherwise.
## Notation
* `∑ᶠ i, f i` and `∑ᶠ i : α, f i` for `finsum f`
* `∏ᶠ i, f i` and `∏ᶠ i : α, f i` for `finprod f`
This notation works for functions `f : p → M`, where `p : Prop`, so the following works:
* `∑ᶠ i ∈ s, f i`, where `f : α → M`, `s : Set α` : sum over the set `s`;
* `∑ᶠ n < 5, f n`, where `f : ℕ → M` : same as `f 0 + f 1 + f 2 + f 3 + f 4`;
* `∏ᶠ (n >= -2) (hn : n < 3), f n`, where `f : ℤ → M` : same as `f (-2) * f (-1) * f 0 * f 1 * f 2`.
## Implementation notes
`finsum` and `finprod` is "yet another way of doing finite sums and products in Lean". However
experiments in the wild (e.g. with matroids) indicate that it is a helpful approach in settings
where the user is not interested in computability and wants to do reasoning without running into
typeclass diamonds caused by the constructive finiteness used in definitions such as `Finset` and
`Fintype`. By sticking solely to `Set.Finite` we avoid these problems. We are aware that there are
other solutions but for beginner mathematicians this approach is easier in practice.
Another application is the construction of a partition of unity from a collection of “bump”
function. In this case the finite set depends on the point and it's convenient to have a definition
that does not mention the set explicitly.
The first arguments in all definitions and lemmas is the codomain of the function of the big
operator. This is necessary for the heuristic in `@[to_additive]`.
See the documentation of `to_additive.attr` for more information.
We did not add `IsFinite (X : Type) : Prop`, because it is simply `Nonempty (Fintype X)`.
## Tags
finsum, finprod, finite sum, finite product
-/
open Function Set
/-!
### Definition and relation to `Finset.sum` and `Finset.prod`
-/
-- Porting note: Used to be section Sort
section sort
variable {G M N : Type*} {α β ι : Sort*} [CommMonoid M] [CommMonoid N]
section
/- Note: we use classical logic only for these definitions, to ensure that we do not write lemmas
with `Classical.dec` in their statement. -/
open scoped Classical
/-- Sum of `f x` as `x` ranges over the elements of the support of `f`, if it's finite. Zero
otherwise. -/
noncomputable irreducible_def finsum (lemma := finsum_def') [AddCommMonoid M] (f : α → M) : M :=
if h : (support (f ∘ PLift.down)).Finite then ∑ i ∈ h.toFinset, f i.down else 0
#align finsum finsum
/-- Product of `f x` as `x` ranges over the elements of the multiplicative support of `f`, if it's
finite. One otherwise. -/
@[to_additive existing]
noncomputable irreducible_def finprod (lemma := finprod_def') (f : α → M) : M :=
if h : (mulSupport (f ∘ PLift.down)).Finite then ∏ i ∈ h.toFinset, f i.down else 1
#align finprod finprod
attribute [to_additive existing] finprod_def'
end
open Batteries.ExtendedBinder
/-- `∑ᶠ x, f x` is notation for `finsum f`. It is the sum of `f x`, where `x` ranges over the
support of `f`, if it's finite, zero otherwise. Taking the sum over multiple arguments or
conditions is possible, e.g. `∏ᶠ (x) (y), f x y` and `∏ᶠ (x) (h: x ∈ s), f x`-/
notation3"∑ᶠ "(...)", "r:67:(scoped f => finsum f) => r
/-- `∏ᶠ x, f x` is notation for `finprod f`. It is the product of `f x`, where `x` ranges over the
multiplicative support of `f`, if it's finite, one otherwise. Taking the product over multiple
arguments or conditions is possible, e.g. `∏ᶠ (x) (y), f x y` and `∏ᶠ (x) (h: x ∈ s), f x`-/
notation3"∏ᶠ "(...)", "r:67:(scoped f => finprod f) => r
-- Porting note: The following ports the lean3 notation for this file, but is currently very fickle.
-- syntax (name := bigfinsum) "∑ᶠ" extBinders ", " term:67 : term
-- macro_rules (kind := bigfinsum)
-- | `(∑ᶠ $x:ident, $p) => `(finsum (fun $x:ident ↦ $p))
-- | `(∑ᶠ $x:ident : $t, $p) => `(finsum (fun $x:ident : $t ↦ $p))
-- | `(∑ᶠ $x:ident $b:binderPred, $p) =>
-- `(finsum fun $x => (finsum (α := satisfies_binder_pred% $x $b) (fun _ => $p)))
-- | `(∑ᶠ ($x:ident) ($h:ident : $t), $p) =>
-- `(finsum fun ($x) => finsum (α := $t) (fun $h => $p))
-- | `(∑ᶠ ($x:ident : $_) ($h:ident : $t), $p) =>
-- `(finsum fun ($x) => finsum (α := $t) (fun $h => $p))
-- | `(∑ᶠ ($x:ident) ($y:ident), $p) =>
-- `(finsum fun $x => (finsum fun $y => $p))
-- | `(∑ᶠ ($x:ident) ($y:ident) ($h:ident : $t), $p) =>
-- `(finsum fun $x => (finsum fun $y => (finsum (α := $t) fun $h => $p)))
-- | `(∑ᶠ ($x:ident) ($y:ident) ($z:ident), $p) =>
-- `(finsum fun $x => (finsum fun $y => (finsum fun $z => $p)))
-- | `(∑ᶠ ($x:ident) ($y:ident) ($z:ident) ($h:ident : $t), $p) =>
-- `(finsum fun $x => (finsum fun $y => (finsum fun $z => (finsum (α := $t) fun $h => $p))))
--
--
-- syntax (name := bigfinprod) "∏ᶠ " extBinders ", " term:67 : term
-- macro_rules (kind := bigfinprod)
-- | `(∏ᶠ $x:ident, $p) => `(finprod (fun $x:ident ↦ $p))
-- | `(∏ᶠ $x:ident : $t, $p) => `(finprod (fun $x:ident : $t ↦ $p))
-- | `(∏ᶠ $x:ident $b:binderPred, $p) =>
-- `(finprod fun $x => (finprod (α := satisfies_binder_pred% $x $b) (fun _ => $p)))
-- | `(∏ᶠ ($x:ident) ($h:ident : $t), $p) =>
-- `(finprod fun ($x) => finprod (α := $t) (fun $h => $p))
-- | `(∏ᶠ ($x:ident : $_) ($h:ident : $t), $p) =>
-- `(finprod fun ($x) => finprod (α := $t) (fun $h => $p))
-- | `(∏ᶠ ($x:ident) ($y:ident), $p) =>
-- `(finprod fun $x => (finprod fun $y => $p))
-- | `(∏ᶠ ($x:ident) ($y:ident) ($h:ident : $t), $p) =>
-- `(finprod fun $x => (finprod fun $y => (finprod (α := $t) fun $h => $p)))
-- | `(∏ᶠ ($x:ident) ($y:ident) ($z:ident), $p) =>
-- `(finprod fun $x => (finprod fun $y => (finprod fun $z => $p)))
-- | `(∏ᶠ ($x:ident) ($y:ident) ($z:ident) ($h:ident : $t), $p) =>
-- `(finprod fun $x => (finprod fun $y => (finprod fun $z =>
-- (finprod (α := $t) fun $h => $p))))
@[to_additive]
theorem finprod_eq_prod_plift_of_mulSupport_toFinset_subset {f : α → M}
(hf : (mulSupport (f ∘ PLift.down)).Finite) {s : Finset (PLift α)} (hs : hf.toFinset ⊆ s) :
∏ᶠ i, f i = ∏ i ∈ s, f i.down := by
rw [finprod, dif_pos]
refine Finset.prod_subset hs fun x _ hxf => ?_
rwa [hf.mem_toFinset, nmem_mulSupport] at hxf
#align finprod_eq_prod_plift_of_mul_support_to_finset_subset finprod_eq_prod_plift_of_mulSupport_toFinset_subset
#align finsum_eq_sum_plift_of_support_to_finset_subset finsum_eq_sum_plift_of_support_toFinset_subset
@[to_additive]
theorem finprod_eq_prod_plift_of_mulSupport_subset {f : α → M} {s : Finset (PLift α)}
(hs : mulSupport (f ∘ PLift.down) ⊆ s) : ∏ᶠ i, f i = ∏ i ∈ s, f i.down :=
finprod_eq_prod_plift_of_mulSupport_toFinset_subset (s.finite_toSet.subset hs) fun x hx => by
rw [Finite.mem_toFinset] at hx
exact hs hx
#align finprod_eq_prod_plift_of_mul_support_subset finprod_eq_prod_plift_of_mulSupport_subset
#align finsum_eq_sum_plift_of_support_subset finsum_eq_sum_plift_of_support_subset
@[to_additive (attr := simp)]
theorem finprod_one : (∏ᶠ _ : α, (1 : M)) = 1 := by
have : (mulSupport fun x : PLift α => (fun _ => 1 : α → M) x.down) ⊆ (∅ : Finset (PLift α)) :=
fun x h => by simp at h
rw [finprod_eq_prod_plift_of_mulSupport_subset this, Finset.prod_empty]
#align finprod_one finprod_one
#align finsum_zero finsum_zero
@[to_additive]
theorem finprod_of_isEmpty [IsEmpty α] (f : α → M) : ∏ᶠ i, f i = 1 := by
rw [← finprod_one]
congr
simp [eq_iff_true_of_subsingleton]
#align finprod_of_is_empty finprod_of_isEmpty
#align finsum_of_is_empty finsum_of_isEmpty
@[to_additive (attr := simp)]
theorem finprod_false (f : False → M) : ∏ᶠ i, f i = 1 :=
finprod_of_isEmpty _
#align finprod_false finprod_false
#align finsum_false finsum_false
@[to_additive]
theorem finprod_eq_single (f : α → M) (a : α) (ha : ∀ x, x ≠ a → f x = 1) :
∏ᶠ x, f x = f a := by
have : mulSupport (f ∘ PLift.down) ⊆ ({PLift.up a} : Finset (PLift α)) := by
intro x
contrapose
simpa [PLift.eq_up_iff_down_eq] using ha x.down
rw [finprod_eq_prod_plift_of_mulSupport_subset this, Finset.prod_singleton]
#align finprod_eq_single finprod_eq_single
#align finsum_eq_single finsum_eq_single
@[to_additive]
theorem finprod_unique [Unique α] (f : α → M) : ∏ᶠ i, f i = f default :=
finprod_eq_single f default fun _x hx => (hx <| Unique.eq_default _).elim
#align finprod_unique finprod_unique
#align finsum_unique finsum_unique
@[to_additive (attr := simp)]
theorem finprod_true (f : True → M) : ∏ᶠ i, f i = f trivial :=
@finprod_unique M True _ ⟨⟨trivial⟩, fun _ => rfl⟩ f
#align finprod_true finprod_true
#align finsum_true finsum_true
@[to_additive]
theorem finprod_eq_dif {p : Prop} [Decidable p] (f : p → M) :
∏ᶠ i, f i = if h : p then f h else 1 := by
split_ifs with h
· haveI : Unique p := ⟨⟨h⟩, fun _ => rfl⟩
exact finprod_unique f
· haveI : IsEmpty p := ⟨h⟩
exact finprod_of_isEmpty f
#align finprod_eq_dif finprod_eq_dif
#align finsum_eq_dif finsum_eq_dif
@[to_additive]
theorem finprod_eq_if {p : Prop} [Decidable p] {x : M} : ∏ᶠ _ : p, x = if p then x else 1 :=
finprod_eq_dif fun _ => x
#align finprod_eq_if finprod_eq_if
#align finsum_eq_if finsum_eq_if
@[to_additive]
theorem finprod_congr {f g : α → M} (h : ∀ x, f x = g x) : finprod f = finprod g :=
congr_arg _ <| funext h
#align finprod_congr finprod_congr
#align finsum_congr finsum_congr
@[to_additive (attr := congr)]
theorem finprod_congr_Prop {p q : Prop} {f : p → M} {g : q → M} (hpq : p = q)
(hfg : ∀ h : q, f (hpq.mpr h) = g h) : finprod f = finprod g := by
subst q
exact finprod_congr hfg
#align finprod_congr_Prop finprod_congr_Prop
#align finsum_congr_Prop finsum_congr_Prop
/-- To prove a property of a finite product, it suffices to prove that the property is
multiplicative and holds on the factors. -/
@[to_additive
"To prove a property of a finite sum, it suffices to prove that the property is
additive and holds on the summands."]
theorem finprod_induction {f : α → M} (p : M → Prop) (hp₀ : p 1)
(hp₁ : ∀ x y, p x → p y → p (x * y)) (hp₂ : ∀ i, p (f i)) : p (∏ᶠ i, f i) := by
rw [finprod]
split_ifs
exacts [Finset.prod_induction _ _ hp₁ hp₀ fun i _ => hp₂ _, hp₀]
#align finprod_induction finprod_induction
#align finsum_induction finsum_induction
theorem finprod_nonneg {R : Type*} [OrderedCommSemiring R] {f : α → R} (hf : ∀ x, 0 ≤ f x) :
0 ≤ ∏ᶠ x, f x :=
finprod_induction (fun x => 0 ≤ x) zero_le_one (fun _ _ => mul_nonneg) hf
#align finprod_nonneg finprod_nonneg
@[to_additive finsum_nonneg]
theorem one_le_finprod' {M : Type*} [OrderedCommMonoid M] {f : α → M} (hf : ∀ i, 1 ≤ f i) :
1 ≤ ∏ᶠ i, f i :=
finprod_induction _ le_rfl (fun _ _ => one_le_mul) hf
#align one_le_finprod' one_le_finprod'
#align finsum_nonneg finsum_nonneg
@[to_additive]
theorem MonoidHom.map_finprod_plift (f : M →* N) (g : α → M)
(h : (mulSupport <| g ∘ PLift.down).Finite) : f (∏ᶠ x, g x) = ∏ᶠ x, f (g x) := by
rw [finprod_eq_prod_plift_of_mulSupport_subset h.coe_toFinset.ge,
finprod_eq_prod_plift_of_mulSupport_subset, map_prod]
rw [h.coe_toFinset]
exact mulSupport_comp_subset f.map_one (g ∘ PLift.down)
#align monoid_hom.map_finprod_plift MonoidHom.map_finprod_plift
#align add_monoid_hom.map_finsum_plift AddMonoidHom.map_finsum_plift
@[to_additive]
theorem MonoidHom.map_finprod_Prop {p : Prop} (f : M →* N) (g : p → M) :
f (∏ᶠ x, g x) = ∏ᶠ x, f (g x) :=
f.map_finprod_plift g (Set.toFinite _)
#align monoid_hom.map_finprod_Prop MonoidHom.map_finprod_Prop
#align add_monoid_hom.map_finsum_Prop AddMonoidHom.map_finsum_Prop
@[to_additive]
theorem MonoidHom.map_finprod_of_preimage_one (f : M →* N) (hf : ∀ x, f x = 1 → x = 1) (g : α → M) :
f (∏ᶠ i, g i) = ∏ᶠ i, f (g i) := by
by_cases hg : (mulSupport <| g ∘ PLift.down).Finite; · exact f.map_finprod_plift g hg
rw [finprod, dif_neg, f.map_one, finprod, dif_neg]
exacts [Infinite.mono (fun x hx => mt (hf (g x.down)) hx) hg, hg]
#align monoid_hom.map_finprod_of_preimage_one MonoidHom.map_finprod_of_preimage_one
#align add_monoid_hom.map_finsum_of_preimage_zero AddMonoidHom.map_finsum_of_preimage_zero
@[to_additive]
theorem MonoidHom.map_finprod_of_injective (g : M →* N) (hg : Injective g) (f : α → M) :
g (∏ᶠ i, f i) = ∏ᶠ i, g (f i) :=
g.map_finprod_of_preimage_one (fun _ => (hg.eq_iff' g.map_one).mp) f
#align monoid_hom.map_finprod_of_injective MonoidHom.map_finprod_of_injective
#align add_monoid_hom.map_finsum_of_injective AddMonoidHom.map_finsum_of_injective
@[to_additive]
theorem MulEquiv.map_finprod (g : M ≃* N) (f : α → M) : g (∏ᶠ i, f i) = ∏ᶠ i, g (f i) :=
g.toMonoidHom.map_finprod_of_injective (EquivLike.injective g) f
#align mul_equiv.map_finprod MulEquiv.map_finprod
#align add_equiv.map_finsum AddEquiv.map_finsum
/-- The `NoZeroSMulDivisors` makes sure that the result holds even when the support of `f` is
infinite. For a more usual version assuming `(support f).Finite` instead, see `finsum_smul'`. -/
theorem finsum_smul {R M : Type*} [Ring R] [AddCommGroup M] [Module R M] [NoZeroSMulDivisors R M]
(f : ι → R) (x : M) : (∑ᶠ i, f i) • x = ∑ᶠ i, f i • x := by
rcases eq_or_ne x 0 with (rfl | hx)
· simp
· exact ((smulAddHom R M).flip x).map_finsum_of_injective (smul_left_injective R hx) _
#align finsum_smul finsum_smul
/-- The `NoZeroSMulDivisors` makes sure that the result holds even when the support of `f` is
infinite. For a more usual version assuming `(support f).Finite` instead, see `smul_finsum'`. -/
theorem smul_finsum {R M : Type*} [Ring R] [AddCommGroup M] [Module R M] [NoZeroSMulDivisors R M]
(c : R) (f : ι → M) : (c • ∑ᶠ i, f i) = ∑ᶠ i, c • f i := by
rcases eq_or_ne c 0 with (rfl | hc)
· simp
· exact (smulAddHom R M c).map_finsum_of_injective (smul_right_injective M hc) _
#align smul_finsum smul_finsum
@[to_additive]
theorem finprod_inv_distrib [DivisionCommMonoid G] (f : α → G) : (∏ᶠ x, (f x)⁻¹) = (∏ᶠ x, f x)⁻¹ :=
((MulEquiv.inv G).map_finprod f).symm
#align finprod_inv_distrib finprod_inv_distrib
#align finsum_neg_distrib finsum_neg_distrib
end sort
-- Porting note: Used to be section Type
section type
variable {α β ι G M N : Type*} [CommMonoid M] [CommMonoid N]
@[to_additive]
| Mathlib/Algebra/BigOperators/Finprod.lean | 361 | 363 | theorem finprod_eq_mulIndicator_apply (s : Set α) (f : α → M) (a : α) :
∏ᶠ _ : a ∈ s, f a = mulIndicator s f a := by |
classical convert finprod_eq_if (M := M) (p := a ∈ s) (x := f a)
|
/-
Copyright (c) 2022 Tian Chen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Tian Chen, Mantas Bakšys
-/
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Algebra.Ring.Int
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.RingTheory.Ideal.Quotient
#align_import number_theory.multiplicity from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
/-!
# Multiplicity in Number Theory
This file contains results in number theory relating to multiplicity.
## Main statements
* `multiplicity.Int.pow_sub_pow` is the lifting the exponent lemma for odd primes.
We also prove several variations of the lemma.
## References
* [Wikipedia, *Lifting-the-exponent lemma*]
(https://en.wikipedia.org/wiki/Lifting-the-exponent_lemma)
-/
open Ideal Ideal.Quotient Finset
variable {R : Type*} {n : ℕ}
section CommRing
variable [CommRing R] {a b x y : R}
theorem dvd_geom_sum₂_iff_of_dvd_sub {x y p : R} (h : p ∣ x - y) :
(p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i)) ↔ p ∣ n * y ^ (n - 1) := by
rw [← mem_span_singleton, ← Ideal.Quotient.eq] at h
simp only [← mem_span_singleton, ← eq_zero_iff_mem, RingHom.map_geom_sum₂, h, geom_sum₂_self,
_root_.map_mul, map_pow, map_natCast]
#align dvd_geom_sum₂_iff_of_dvd_sub dvd_geom_sum₂_iff_of_dvd_sub
theorem dvd_geom_sum₂_iff_of_dvd_sub' {x y p : R} (h : p ∣ x - y) :
(p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i)) ↔ p ∣ n * x ^ (n - 1) := by
rw [geom_sum₂_comm, dvd_geom_sum₂_iff_of_dvd_sub]; simpa using h.neg_right
#align dvd_geom_sum₂_iff_of_dvd_sub' dvd_geom_sum₂_iff_of_dvd_sub'
theorem dvd_geom_sum₂_self {x y : R} (h : ↑n ∣ x - y) :
↑n ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i) :=
(dvd_geom_sum₂_iff_of_dvd_sub h).mpr (dvd_mul_right _ _)
#align dvd_geom_sum₂_self dvd_geom_sum₂_self
theorem sq_dvd_add_pow_sub_sub (p x : R) (n : ℕ) :
p ^ 2 ∣ (x + p) ^ n - x ^ (n - 1) * p * n - x ^ n := by
cases' n with n n
· simp only [pow_zero, Nat.cast_zero, sub_zero, sub_self, dvd_zero, Nat.zero_eq, mul_zero]
· simp only [Nat.succ_sub_succ_eq_sub, tsub_zero, Nat.cast_succ, add_pow, Finset.sum_range_succ,
Nat.choose_self, Nat.succ_sub _, tsub_self, pow_one, Nat.choose_succ_self_right, pow_zero,
mul_one, Nat.cast_zero, zero_add, Nat.succ_eq_add_one, add_tsub_cancel_left]
suffices p ^ 2 ∣ ∑ i ∈ range n, x ^ i * p ^ (n + 1 - i) * ↑((n + 1).choose i) by
convert this; abel
apply Finset.dvd_sum
intro y hy
calc
p ^ 2 ∣ p ^ (n + 1 - y) :=
pow_dvd_pow p (le_tsub_of_add_le_left (by linarith [Finset.mem_range.mp hy]))
_ ∣ x ^ y * p ^ (n + 1 - y) * ↑((n + 1).choose y) :=
dvd_mul_of_dvd_left (dvd_mul_left _ _) _
#align sq_dvd_add_pow_sub_sub sq_dvd_add_pow_sub_sub
theorem not_dvd_geom_sum₂ {p : R} (hp : Prime p) (hxy : p ∣ x - y) (hx : ¬p ∣ x) (hn : ¬p ∣ n) :
¬p ∣ ∑ i ∈ range n, x ^ i * y ^ (n - 1 - i) := fun h =>
hx <|
hp.dvd_of_dvd_pow <| (hp.dvd_or_dvd <| (dvd_geom_sum₂_iff_of_dvd_sub' hxy).mp h).resolve_left hn
#align not_dvd_geom_sum₂ not_dvd_geom_sum₂
variable {p : ℕ} (a b)
theorem odd_sq_dvd_geom_sum₂_sub (hp : Odd p) :
(p : R) ^ 2 ∣ (∑ i ∈ range p, (a + p * b) ^ i * a ^ (p - 1 - i)) - p * a ^ (p - 1) := by
have h1 : ∀ (i : ℕ),
(p : R) ^ 2 ∣ (a + ↑p * b) ^ i - (a ^ (i - 1) * (↑p * b) * i + a ^ i) := by
intro i
calc
↑p ^ 2 ∣ (↑p * b) ^ 2 := by simp only [mul_pow, dvd_mul_right]
_ ∣ (a + ↑p * b) ^ i - (a ^ (i - 1) * (↑p * b) * ↑i + a ^ i) := by
simp only [sq_dvd_add_pow_sub_sub (↑p * b) a i, ← sub_sub]
simp_rw [← mem_span_singleton, ← Ideal.Quotient.eq] at *
let s : R := (p : R)^2
calc
(Ideal.Quotient.mk (span {s})) (∑ i ∈ range p, (a + (p : R) * b) ^ i * a ^ (p - 1 - i)) =
∑ i ∈ Finset.range p,
mk (span {s}) ((a ^ (i - 1) * (↑p * b) * ↑i + a ^ i) * a ^ (p - 1 - i)) := by
simp_rw [RingHom.map_geom_sum₂, ← map_pow, h1, ← _root_.map_mul]
_ =
mk (span {s})
(∑ x ∈ Finset.range p, a ^ (x - 1) * (a ^ (p - 1 - x) * (↑p * (b * ↑x)))) +
mk (span {s}) (∑ x ∈ Finset.range p, a ^ (x + (p - 1 - x))) := by
ring_nf
simp only [← pow_add, map_add, Finset.sum_add_distrib, ← map_sum]
congr
simp [pow_add a, mul_assoc]
_ =
mk (span {s})
(∑ x ∈ Finset.range p, a ^ (x - 1) * (a ^ (p - 1 - x) * (↑p * (b * ↑x)))) +
mk (span {s}) (∑ _x ∈ Finset.range p, a ^ (p - 1)) := by
rw [add_right_inj]
have : ∀ (x : ℕ), (hx : x ∈ range p) → a ^ (x + (p - 1 - x)) = a ^ (p - 1) := by
intro x hx
rw [← Nat.add_sub_assoc _ x, Nat.add_sub_cancel_left]
exact Nat.le_sub_one_of_lt (Finset.mem_range.mp hx)
rw [Finset.sum_congr rfl this]
_ =
mk (span {s})
(∑ x ∈ Finset.range p, a ^ (x - 1) * (a ^ (p - 1 - x) * (↑p * (b * ↑x)))) +
mk (span {s}) (↑p * a ^ (p - 1)) := by
simp only [add_right_inj, Finset.sum_const, Finset.card_range, nsmul_eq_mul]
_ =
mk (span {s}) (↑p * b * ∑ x ∈ Finset.range p, a ^ (p - 2) * x) +
mk (span {s}) (↑p * a ^ (p - 1)) := by
simp only [Finset.mul_sum, ← mul_assoc, ← pow_add]
rw [Finset.sum_congr rfl]
rintro (⟨⟩ | ⟨x⟩) hx
· rw [Nat.cast_zero, mul_zero, mul_zero]
· have : x.succ - 1 + (p - 1 - x.succ) = p - 2 := by
rw [← Nat.add_sub_assoc (Nat.le_sub_one_of_lt (Finset.mem_range.mp hx))]
exact congr_arg Nat.pred (Nat.add_sub_cancel_left _ _)
rw [this]
ring1
_ = mk (span {s}) (↑p * a ^ (p - 1)) := by
have : Finset.sum (range p) (fun (x : ℕ) ↦ (x : R)) =
((Finset.sum (range p) (fun (x : ℕ) ↦ (x : ℕ)))) := by simp only [Nat.cast_sum]
simp only [add_left_eq_self, ← Finset.mul_sum, this]
norm_cast
simp only [Finset.sum_range_id]
norm_cast
simp only [Nat.cast_mul, _root_.map_mul,
Nat.mul_div_assoc p (even_iff_two_dvd.mp (Nat.Odd.sub_odd hp odd_one))]
ring_nf
rw [mul_assoc, mul_assoc]
refine mul_eq_zero_of_left ?_ _
refine Ideal.Quotient.eq_zero_iff_mem.mpr ?_
simp [mem_span_singleton]
#align odd_sq_dvd_geom_sum₂_sub odd_sq_dvd_geom_sum₂_sub
namespace multiplicity
section IntegralDomain
variable [IsDomain R] [@DecidableRel R (· ∣ ·)]
theorem pow_sub_pow_of_prime {p : R} (hp : Prime p) {x y : R} (hxy : p ∣ x - y) (hx : ¬p ∣ x)
{n : ℕ} (hn : ¬p ∣ n) : multiplicity p (x ^ n - y ^ n) = multiplicity p (x - y) := by
rw [← geom_sum₂_mul, multiplicity.mul hp, multiplicity_eq_zero.2 (not_dvd_geom_sum₂ hp hxy hx hn),
zero_add]
#align multiplicity.pow_sub_pow_of_prime multiplicity.pow_sub_pow_of_prime
variable (hp : Prime (p : R)) (hp1 : Odd p) (hxy : ↑p ∣ x - y) (hx : ¬↑p ∣ x)
theorem geom_sum₂_eq_one : multiplicity (↑p) (∑ i ∈ range p, x ^ i * y ^ (p - 1 - i)) = 1 := by
rw [← Nat.cast_one]
refine multiplicity.eq_coe_iff.2 ⟨?_, ?_⟩
· rw [pow_one]
exact dvd_geom_sum₂_self hxy
rw [dvd_iff_dvd_of_dvd_sub hxy] at hx
cases' hxy with k hk
rw [one_add_one_eq_two, eq_add_of_sub_eq' hk]
refine mt (dvd_iff_dvd_of_dvd_sub (@odd_sq_dvd_geom_sum₂_sub _ _ y k _ hp1)).mp ?_
rw [pow_two, mul_dvd_mul_iff_left hp.ne_zero]
exact mt hp.dvd_of_dvd_pow hx
#align multiplicity.geom_sum₂_eq_one multiplicity.geom_sum₂_eq_one
theorem pow_prime_sub_pow_prime :
multiplicity (↑p) (x ^ p - y ^ p) = multiplicity (↑p) (x - y) + 1 := by
rw [← geom_sum₂_mul, multiplicity.mul hp, geom_sum₂_eq_one hp hp1 hxy hx, add_comm]
#align multiplicity.pow_prime_sub_pow_prime multiplicity.pow_prime_sub_pow_prime
theorem pow_prime_pow_sub_pow_prime_pow (a : ℕ) :
multiplicity (↑p) (x ^ p ^ a - y ^ p ^ a) = multiplicity (↑p) (x - y) + a := by
induction' a with a h_ind
· rw [Nat.cast_zero, add_zero, pow_zero, pow_one, pow_one]
rw [Nat.cast_add, Nat.cast_one, ← add_assoc, ← h_ind, pow_succ, pow_mul, pow_mul]
apply pow_prime_sub_pow_prime hp hp1
· rw [← geom_sum₂_mul]
exact dvd_mul_of_dvd_right hxy _
· exact fun h => hx (hp.dvd_of_dvd_pow h)
#align multiplicity.pow_prime_pow_sub_pow_prime_pow multiplicity.pow_prime_pow_sub_pow_prime_pow
end IntegralDomain
section LiftingTheExponent
variable (hp : Nat.Prime p) (hp1 : Odd p)
/-- **Lifting the exponent lemma** for odd primes. -/
| Mathlib/NumberTheory/Multiplicity.lean | 199 | 215 | theorem Int.pow_sub_pow {x y : ℤ} (hxy : ↑p ∣ x - y) (hx : ¬↑p ∣ x) (n : ℕ) :
multiplicity (↑p) (x ^ n - y ^ n) = multiplicity (↑p) (x - y) + multiplicity p n := by |
cases' n with n
· simp only [multiplicity.zero, add_top, pow_zero, sub_self, Nat.zero_eq]
have h : (multiplicity _ _).Dom := finite_nat_iff.mpr ⟨hp.ne_one, n.succ_pos⟩
simp only [Nat.succ_eq_add_one] at h
rcases eq_coe_iff.mp (PartENat.natCast_get h).symm with ⟨⟨k, hk⟩, hpn⟩
conv_lhs => rw [hk, pow_mul, pow_mul]
rw [Nat.prime_iff_prime_int] at hp
rw [pow_sub_pow_of_prime hp, pow_prime_pow_sub_pow_prime_pow hp hp1 hxy hx, PartENat.natCast_get]
· rw [← geom_sum₂_mul]
exact dvd_mul_of_dvd_right hxy _
· exact fun h => hx (hp.dvd_of_dvd_pow h)
· rw [Int.natCast_dvd_natCast]
rintro ⟨c, rfl⟩
refine hpn ⟨c, ?_⟩
rwa [pow_succ, mul_assoc]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.Topology.Order.MonotoneContinuity
import Mathlib.Topology.Algebra.Order.LiminfLimsup
import Mathlib.Topology.Instances.NNReal
import Mathlib.Topology.EMetricSpace.Lipschitz
import Mathlib.Topology.Metrizable.Basic
import Mathlib.Topology.Order.T5
#align_import topology.instances.ennreal from "leanprover-community/mathlib"@"ec4b2eeb50364487f80421c0b4c41328a611f30d"
/-!
# Topology on extended non-negative reals
-/
noncomputable section
open Set Filter Metric Function
open scoped Classical Topology ENNReal NNReal Filter
variable {α : Type*} {β : Type*} {γ : Type*}
namespace ENNReal
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} {x y z : ℝ≥0∞} {ε ε₁ ε₂ : ℝ≥0∞} {s : Set ℝ≥0∞}
section TopologicalSpace
open TopologicalSpace
/-- Topology on `ℝ≥0∞`.
Note: this is different from the `EMetricSpace` topology. The `EMetricSpace` topology has
`IsOpen {∞}`, while this topology doesn't have singleton elements. -/
instance : TopologicalSpace ℝ≥0∞ := Preorder.topology ℝ≥0∞
instance : OrderTopology ℝ≥0∞ := ⟨rfl⟩
-- short-circuit type class inference
instance : T2Space ℝ≥0∞ := inferInstance
instance : T5Space ℝ≥0∞ := inferInstance
instance : T4Space ℝ≥0∞ := inferInstance
instance : SecondCountableTopology ℝ≥0∞ :=
orderIsoUnitIntervalBirational.toHomeomorph.embedding.secondCountableTopology
instance : MetrizableSpace ENNReal :=
orderIsoUnitIntervalBirational.toHomeomorph.embedding.metrizableSpace
theorem embedding_coe : Embedding ((↑) : ℝ≥0 → ℝ≥0∞) :=
coe_strictMono.embedding_of_ordConnected <| by rw [range_coe']; exact ordConnected_Iio
#align ennreal.embedding_coe ENNReal.embedding_coe
theorem isOpen_ne_top : IsOpen { a : ℝ≥0∞ | a ≠ ∞ } := isOpen_ne
#align ennreal.is_open_ne_top ENNReal.isOpen_ne_top
theorem isOpen_Ico_zero : IsOpen (Ico 0 b) := by
rw [ENNReal.Ico_eq_Iio]
exact isOpen_Iio
#align ennreal.is_open_Ico_zero ENNReal.isOpen_Ico_zero
theorem openEmbedding_coe : OpenEmbedding ((↑) : ℝ≥0 → ℝ≥0∞) :=
⟨embedding_coe, by rw [range_coe']; exact isOpen_Iio⟩
#align ennreal.open_embedding_coe ENNReal.openEmbedding_coe
theorem coe_range_mem_nhds : range ((↑) : ℝ≥0 → ℝ≥0∞) ∈ 𝓝 (r : ℝ≥0∞) :=
IsOpen.mem_nhds openEmbedding_coe.isOpen_range <| mem_range_self _
#align ennreal.coe_range_mem_nhds ENNReal.coe_range_mem_nhds
@[norm_cast]
theorem tendsto_coe {f : Filter α} {m : α → ℝ≥0} {a : ℝ≥0} :
Tendsto (fun a => (m a : ℝ≥0∞)) f (𝓝 ↑a) ↔ Tendsto m f (𝓝 a) :=
embedding_coe.tendsto_nhds_iff.symm
#align ennreal.tendsto_coe ENNReal.tendsto_coe
theorem continuous_coe : Continuous ((↑) : ℝ≥0 → ℝ≥0∞) :=
embedding_coe.continuous
#align ennreal.continuous_coe ENNReal.continuous_coe
theorem continuous_coe_iff {α} [TopologicalSpace α] {f : α → ℝ≥0} :
(Continuous fun a => (f a : ℝ≥0∞)) ↔ Continuous f :=
embedding_coe.continuous_iff.symm
#align ennreal.continuous_coe_iff ENNReal.continuous_coe_iff
theorem nhds_coe {r : ℝ≥0} : 𝓝 (r : ℝ≥0∞) = (𝓝 r).map (↑) :=
(openEmbedding_coe.map_nhds_eq r).symm
#align ennreal.nhds_coe ENNReal.nhds_coe
theorem tendsto_nhds_coe_iff {α : Type*} {l : Filter α} {x : ℝ≥0} {f : ℝ≥0∞ → α} :
Tendsto f (𝓝 ↑x) l ↔ Tendsto (f ∘ (↑) : ℝ≥0 → α) (𝓝 x) l := by
rw [nhds_coe, tendsto_map'_iff]
#align ennreal.tendsto_nhds_coe_iff ENNReal.tendsto_nhds_coe_iff
theorem continuousAt_coe_iff {α : Type*} [TopologicalSpace α] {x : ℝ≥0} {f : ℝ≥0∞ → α} :
ContinuousAt f ↑x ↔ ContinuousAt (f ∘ (↑) : ℝ≥0 → α) x :=
tendsto_nhds_coe_iff
#align ennreal.continuous_at_coe_iff ENNReal.continuousAt_coe_iff
theorem nhds_coe_coe {r p : ℝ≥0} :
𝓝 ((r : ℝ≥0∞), (p : ℝ≥0∞)) = (𝓝 (r, p)).map fun p : ℝ≥0 × ℝ≥0 => (↑p.1, ↑p.2) :=
((openEmbedding_coe.prod openEmbedding_coe).map_nhds_eq (r, p)).symm
#align ennreal.nhds_coe_coe ENNReal.nhds_coe_coe
theorem continuous_ofReal : Continuous ENNReal.ofReal :=
(continuous_coe_iff.2 continuous_id).comp continuous_real_toNNReal
#align ennreal.continuous_of_real ENNReal.continuous_ofReal
theorem tendsto_ofReal {f : Filter α} {m : α → ℝ} {a : ℝ} (h : Tendsto m f (𝓝 a)) :
Tendsto (fun a => ENNReal.ofReal (m a)) f (𝓝 (ENNReal.ofReal a)) :=
(continuous_ofReal.tendsto a).comp h
#align ennreal.tendsto_of_real ENNReal.tendsto_ofReal
theorem tendsto_toNNReal {a : ℝ≥0∞} (ha : a ≠ ∞) :
Tendsto ENNReal.toNNReal (𝓝 a) (𝓝 a.toNNReal) := by
lift a to ℝ≥0 using ha
rw [nhds_coe, tendsto_map'_iff]
exact tendsto_id
#align ennreal.tendsto_to_nnreal ENNReal.tendsto_toNNReal
theorem eventuallyEq_of_toReal_eventuallyEq {l : Filter α} {f g : α → ℝ≥0∞}
(hfi : ∀ᶠ x in l, f x ≠ ∞) (hgi : ∀ᶠ x in l, g x ≠ ∞)
(hfg : (fun x => (f x).toReal) =ᶠ[l] fun x => (g x).toReal) : f =ᶠ[l] g := by
filter_upwards [hfi, hgi, hfg] with _ hfx hgx _
rwa [← ENNReal.toReal_eq_toReal hfx hgx]
#align ennreal.eventually_eq_of_to_real_eventually_eq ENNReal.eventuallyEq_of_toReal_eventuallyEq
theorem continuousOn_toNNReal : ContinuousOn ENNReal.toNNReal { a | a ≠ ∞ } := fun _a ha =>
ContinuousAt.continuousWithinAt (tendsto_toNNReal ha)
#align ennreal.continuous_on_to_nnreal ENNReal.continuousOn_toNNReal
theorem tendsto_toReal {a : ℝ≥0∞} (ha : a ≠ ∞) : Tendsto ENNReal.toReal (𝓝 a) (𝓝 a.toReal) :=
NNReal.tendsto_coe.2 <| tendsto_toNNReal ha
#align ennreal.tendsto_to_real ENNReal.tendsto_toReal
lemma continuousOn_toReal : ContinuousOn ENNReal.toReal { a | a ≠ ∞ } :=
NNReal.continuous_coe.comp_continuousOn continuousOn_toNNReal
lemma continuousAt_toReal (hx : x ≠ ∞) : ContinuousAt ENNReal.toReal x :=
continuousOn_toReal.continuousAt (isOpen_ne_top.mem_nhds_iff.mpr hx)
/-- The set of finite `ℝ≥0∞` numbers is homeomorphic to `ℝ≥0`. -/
def neTopHomeomorphNNReal : { a | a ≠ ∞ } ≃ₜ ℝ≥0 where
toEquiv := neTopEquivNNReal
continuous_toFun := continuousOn_iff_continuous_restrict.1 continuousOn_toNNReal
continuous_invFun := continuous_coe.subtype_mk _
#align ennreal.ne_top_homeomorph_nnreal ENNReal.neTopHomeomorphNNReal
/-- The set of finite `ℝ≥0∞` numbers is homeomorphic to `ℝ≥0`. -/
def ltTopHomeomorphNNReal : { a | a < ∞ } ≃ₜ ℝ≥0 := by
refine (Homeomorph.setCongr ?_).trans neTopHomeomorphNNReal
simp only [mem_setOf_eq, lt_top_iff_ne_top]
#align ennreal.lt_top_homeomorph_nnreal ENNReal.ltTopHomeomorphNNReal
theorem nhds_top : 𝓝 ∞ = ⨅ (a) (_ : a ≠ ∞), 𝓟 (Ioi a) :=
nhds_top_order.trans <| by simp [lt_top_iff_ne_top, Ioi]
#align ennreal.nhds_top ENNReal.nhds_top
theorem nhds_top' : 𝓝 ∞ = ⨅ r : ℝ≥0, 𝓟 (Ioi ↑r) :=
nhds_top.trans <| iInf_ne_top _
#align ennreal.nhds_top' ENNReal.nhds_top'
theorem nhds_top_basis : (𝓝 ∞).HasBasis (fun a => a < ∞) fun a => Ioi a :=
_root_.nhds_top_basis
#align ennreal.nhds_top_basis ENNReal.nhds_top_basis
theorem tendsto_nhds_top_iff_nnreal {m : α → ℝ≥0∞} {f : Filter α} :
Tendsto m f (𝓝 ∞) ↔ ∀ x : ℝ≥0, ∀ᶠ a in f, ↑x < m a := by
simp only [nhds_top', tendsto_iInf, tendsto_principal, mem_Ioi]
#align ennreal.tendsto_nhds_top_iff_nnreal ENNReal.tendsto_nhds_top_iff_nnreal
theorem tendsto_nhds_top_iff_nat {m : α → ℝ≥0∞} {f : Filter α} :
Tendsto m f (𝓝 ∞) ↔ ∀ n : ℕ, ∀ᶠ a in f, ↑n < m a :=
tendsto_nhds_top_iff_nnreal.trans
⟨fun h n => by simpa only [ENNReal.coe_natCast] using h n, fun h x =>
let ⟨n, hn⟩ := exists_nat_gt x
(h n).mono fun y => lt_trans <| by rwa [← ENNReal.coe_natCast, coe_lt_coe]⟩
#align ennreal.tendsto_nhds_top_iff_nat ENNReal.tendsto_nhds_top_iff_nat
theorem tendsto_nhds_top {m : α → ℝ≥0∞} {f : Filter α} (h : ∀ n : ℕ, ∀ᶠ a in f, ↑n < m a) :
Tendsto m f (𝓝 ∞) :=
tendsto_nhds_top_iff_nat.2 h
#align ennreal.tendsto_nhds_top ENNReal.tendsto_nhds_top
theorem tendsto_nat_nhds_top : Tendsto (fun n : ℕ => ↑n) atTop (𝓝 ∞) :=
tendsto_nhds_top fun n =>
mem_atTop_sets.2 ⟨n + 1, fun _m hm => mem_setOf.2 <| Nat.cast_lt.2 <| Nat.lt_of_succ_le hm⟩
#align ennreal.tendsto_nat_nhds_top ENNReal.tendsto_nat_nhds_top
@[simp, norm_cast]
theorem tendsto_coe_nhds_top {f : α → ℝ≥0} {l : Filter α} :
Tendsto (fun x => (f x : ℝ≥0∞)) l (𝓝 ∞) ↔ Tendsto f l atTop := by
rw [tendsto_nhds_top_iff_nnreal, atTop_basis_Ioi.tendsto_right_iff]; simp
#align ennreal.tendsto_coe_nhds_top ENNReal.tendsto_coe_nhds_top
theorem tendsto_ofReal_atTop : Tendsto ENNReal.ofReal atTop (𝓝 ∞) :=
tendsto_coe_nhds_top.2 tendsto_real_toNNReal_atTop
#align ennreal.tendsto_of_real_at_top ENNReal.tendsto_ofReal_atTop
theorem nhds_zero : 𝓝 (0 : ℝ≥0∞) = ⨅ (a) (_ : a ≠ 0), 𝓟 (Iio a) :=
nhds_bot_order.trans <| by simp [pos_iff_ne_zero, Iio]
#align ennreal.nhds_zero ENNReal.nhds_zero
theorem nhds_zero_basis : (𝓝 (0 : ℝ≥0∞)).HasBasis (fun a : ℝ≥0∞ => 0 < a) fun a => Iio a :=
nhds_bot_basis
#align ennreal.nhds_zero_basis ENNReal.nhds_zero_basis
theorem nhds_zero_basis_Iic : (𝓝 (0 : ℝ≥0∞)).HasBasis (fun a : ℝ≥0∞ => 0 < a) Iic :=
nhds_bot_basis_Iic
#align ennreal.nhds_zero_basis_Iic ENNReal.nhds_zero_basis_Iic
-- Porting note (#11215): TODO: add a TC for `≠ ∞`?
@[instance]
theorem nhdsWithin_Ioi_coe_neBot {r : ℝ≥0} : (𝓝[>] (r : ℝ≥0∞)).NeBot :=
nhdsWithin_Ioi_self_neBot' ⟨∞, ENNReal.coe_lt_top⟩
#align ennreal.nhds_within_Ioi_coe_ne_bot ENNReal.nhdsWithin_Ioi_coe_neBot
@[instance]
theorem nhdsWithin_Ioi_zero_neBot : (𝓝[>] (0 : ℝ≥0∞)).NeBot :=
nhdsWithin_Ioi_coe_neBot
#align ennreal.nhds_within_Ioi_zero_ne_bot ENNReal.nhdsWithin_Ioi_zero_neBot
@[instance]
theorem nhdsWithin_Ioi_one_neBot : (𝓝[>] (1 : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot
@[instance]
theorem nhdsWithin_Ioi_nat_neBot (n : ℕ) : (𝓝[>] (n : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot
@[instance]
theorem nhdsWithin_Ioi_ofNat_nebot (n : ℕ) [n.AtLeastTwo] :
(𝓝[>] (OfNat.ofNat n : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot
@[instance]
theorem nhdsWithin_Iio_neBot [NeZero x] : (𝓝[<] x).NeBot :=
nhdsWithin_Iio_self_neBot' ⟨0, NeZero.pos x⟩
/-- Closed intervals `Set.Icc (x - ε) (x + ε)`, `ε ≠ 0`, form a basis of neighborhoods of an
extended nonnegative real number `x ≠ ∞`. We use `Set.Icc` instead of `Set.Ioo` because this way the
statement works for `x = 0`.
-/
theorem hasBasis_nhds_of_ne_top' (xt : x ≠ ∞) :
(𝓝 x).HasBasis (· ≠ 0) (fun ε => Icc (x - ε) (x + ε)) := by
rcases (zero_le x).eq_or_gt with rfl | x0
· simp_rw [zero_tsub, zero_add, ← bot_eq_zero, Icc_bot, ← bot_lt_iff_ne_bot]
exact nhds_bot_basis_Iic
· refine (nhds_basis_Ioo' ⟨_, x0⟩ ⟨_, xt.lt_top⟩).to_hasBasis ?_ fun ε ε0 => ?_
· rintro ⟨a, b⟩ ⟨ha, hb⟩
rcases exists_between (tsub_pos_of_lt ha) with ⟨ε, ε0, hε⟩
rcases lt_iff_exists_add_pos_lt.1 hb with ⟨δ, δ0, hδ⟩
refine ⟨min ε δ, (lt_min ε0 (coe_pos.2 δ0)).ne', Icc_subset_Ioo ?_ ?_⟩
· exact lt_tsub_comm.2 ((min_le_left _ _).trans_lt hε)
· exact (add_le_add_left (min_le_right _ _) _).trans_lt hδ
· exact ⟨(x - ε, x + ε), ⟨ENNReal.sub_lt_self xt x0.ne' ε0,
lt_add_right xt ε0⟩, Ioo_subset_Icc_self⟩
theorem hasBasis_nhds_of_ne_top (xt : x ≠ ∞) :
(𝓝 x).HasBasis (0 < ·) (fun ε => Icc (x - ε) (x + ε)) := by
simpa only [pos_iff_ne_zero] using hasBasis_nhds_of_ne_top' xt
theorem Icc_mem_nhds (xt : x ≠ ∞) (ε0 : ε ≠ 0) : Icc (x - ε) (x + ε) ∈ 𝓝 x :=
(hasBasis_nhds_of_ne_top' xt).mem_of_mem ε0
#align ennreal.Icc_mem_nhds ENNReal.Icc_mem_nhds
theorem nhds_of_ne_top (xt : x ≠ ∞) : 𝓝 x = ⨅ ε > 0, 𝓟 (Icc (x - ε) (x + ε)) :=
(hasBasis_nhds_of_ne_top xt).eq_biInf
#align ennreal.nhds_of_ne_top ENNReal.nhds_of_ne_top
theorem biInf_le_nhds : ∀ x : ℝ≥0∞, ⨅ ε > 0, 𝓟 (Icc (x - ε) (x + ε)) ≤ 𝓝 x
| ∞ => iInf₂_le_of_le 1 one_pos <| by
simpa only [← coe_one, top_sub_coe, top_add, Icc_self, principal_singleton] using pure_le_nhds _
| (x : ℝ≥0) => (nhds_of_ne_top coe_ne_top).ge
-- Porting note (#10756): new lemma
protected theorem tendsto_nhds_of_Icc {f : Filter α} {u : α → ℝ≥0∞} {a : ℝ≥0∞}
(h : ∀ ε > 0, ∀ᶠ x in f, u x ∈ Icc (a - ε) (a + ε)) : Tendsto u f (𝓝 a) := by
refine Tendsto.mono_right ?_ (biInf_le_nhds _)
simpa only [tendsto_iInf, tendsto_principal]
/-- Characterization of neighborhoods for `ℝ≥0∞` numbers. See also `tendsto_order`
for a version with strict inequalities. -/
protected theorem tendsto_nhds {f : Filter α} {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha : a ≠ ∞) :
Tendsto u f (𝓝 a) ↔ ∀ ε > 0, ∀ᶠ x in f, u x ∈ Icc (a - ε) (a + ε) := by
simp only [nhds_of_ne_top ha, tendsto_iInf, tendsto_principal]
#align ennreal.tendsto_nhds ENNReal.tendsto_nhds
protected theorem tendsto_nhds_zero {f : Filter α} {u : α → ℝ≥0∞} :
Tendsto u f (𝓝 0) ↔ ∀ ε > 0, ∀ᶠ x in f, u x ≤ ε :=
nhds_zero_basis_Iic.tendsto_right_iff
#align ennreal.tendsto_nhds_zero ENNReal.tendsto_nhds_zero
protected theorem tendsto_atTop [Nonempty β] [SemilatticeSup β] {f : β → ℝ≥0∞} {a : ℝ≥0∞}
(ha : a ≠ ∞) : Tendsto f atTop (𝓝 a) ↔ ∀ ε > 0, ∃ N, ∀ n ≥ N, f n ∈ Icc (a - ε) (a + ε) :=
.trans (atTop_basis.tendsto_iff (hasBasis_nhds_of_ne_top ha)) (by simp only [true_and]; rfl)
#align ennreal.tendsto_at_top ENNReal.tendsto_atTop
instance : ContinuousAdd ℝ≥0∞ := by
refine ⟨continuous_iff_continuousAt.2 ?_⟩
rintro ⟨_ | a, b⟩
· exact tendsto_nhds_top_mono' continuousAt_fst fun p => le_add_right le_rfl
rcases b with (_ | b)
· exact tendsto_nhds_top_mono' continuousAt_snd fun p => le_add_left le_rfl
simp only [ContinuousAt, some_eq_coe, nhds_coe_coe, ← coe_add, tendsto_map'_iff, (· ∘ ·),
tendsto_coe, tendsto_add]
protected theorem tendsto_atTop_zero [Nonempty β] [SemilatticeSup β] {f : β → ℝ≥0∞} :
Tendsto f atTop (𝓝 0) ↔ ∀ ε > 0, ∃ N, ∀ n ≥ N, f n ≤ ε :=
.trans (atTop_basis.tendsto_iff nhds_zero_basis_Iic) (by simp only [true_and]; rfl)
#align ennreal.tendsto_at_top_zero ENNReal.tendsto_atTop_zero
theorem tendsto_sub : ∀ {a b : ℝ≥0∞}, (a ≠ ∞ ∨ b ≠ ∞) →
Tendsto (fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 - p.2) (𝓝 (a, b)) (𝓝 (a - b))
| ∞, ∞, h => by simp only [ne_eq, not_true_eq_false, or_self] at h
| ∞, (b : ℝ≥0), _ => by
rw [top_sub_coe, tendsto_nhds_top_iff_nnreal]
refine fun x => ((lt_mem_nhds <| @coe_lt_top (b + 1 + x)).prod_nhds
(ge_mem_nhds <| coe_lt_coe.2 <| lt_add_one b)).mono fun y hy => ?_
rw [lt_tsub_iff_left]
calc y.2 + x ≤ ↑(b + 1) + x := add_le_add_right hy.2 _
_ < y.1 := hy.1
| (a : ℝ≥0), ∞, _ => by
rw [sub_top]
refine (tendsto_pure.2 ?_).mono_right (pure_le_nhds _)
exact ((gt_mem_nhds <| coe_lt_coe.2 <| lt_add_one a).prod_nhds
(lt_mem_nhds <| @coe_lt_top (a + 1))).mono fun x hx =>
tsub_eq_zero_iff_le.2 (hx.1.trans hx.2).le
| (a : ℝ≥0), (b : ℝ≥0), _ => by
simp only [nhds_coe_coe, tendsto_map'_iff, ← ENNReal.coe_sub, (· ∘ ·), tendsto_coe]
exact continuous_sub.tendsto (a, b)
#align ennreal.tendsto_sub ENNReal.tendsto_sub
protected theorem Tendsto.sub {f : Filter α} {ma : α → ℝ≥0∞} {mb : α → ℝ≥0∞} {a b : ℝ≥0∞}
(hma : Tendsto ma f (𝓝 a)) (hmb : Tendsto mb f (𝓝 b)) (h : a ≠ ∞ ∨ b ≠ ∞) :
Tendsto (fun a => ma a - mb a) f (𝓝 (a - b)) :=
show Tendsto ((fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 - p.2) ∘ fun a => (ma a, mb a)) f (𝓝 (a - b)) from
Tendsto.comp (ENNReal.tendsto_sub h) (hma.prod_mk_nhds hmb)
#align ennreal.tendsto.sub ENNReal.Tendsto.sub
protected theorem tendsto_mul (ha : a ≠ 0 ∨ b ≠ ∞) (hb : b ≠ 0 ∨ a ≠ ∞) :
Tendsto (fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 * p.2) (𝓝 (a, b)) (𝓝 (a * b)) := by
have ht : ∀ b : ℝ≥0∞, b ≠ 0 →
Tendsto (fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 * p.2) (𝓝 (∞, b)) (𝓝 ∞) := fun b hb => by
refine tendsto_nhds_top_iff_nnreal.2 fun n => ?_
rcases lt_iff_exists_nnreal_btwn.1 (pos_iff_ne_zero.2 hb) with ⟨ε, hε, hεb⟩
have : ∀ᶠ c : ℝ≥0∞ × ℝ≥0∞ in 𝓝 (∞, b), ↑n / ↑ε < c.1 ∧ ↑ε < c.2 :=
(lt_mem_nhds <| div_lt_top coe_ne_top hε.ne').prod_nhds (lt_mem_nhds hεb)
refine this.mono fun c hc => ?_
exact (ENNReal.div_mul_cancel hε.ne' coe_ne_top).symm.trans_lt (mul_lt_mul hc.1 hc.2)
induction a with
| top => simp only [ne_eq, or_false, not_true_eq_false] at hb; simp [ht b hb, top_mul hb]
| coe a =>
induction b with
| top =>
simp only [ne_eq, or_false, not_true_eq_false] at ha
simpa [(· ∘ ·), mul_comm, mul_top ha]
using (ht a ha).comp (continuous_swap.tendsto (ofNNReal a, ∞))
| coe b =>
simp only [nhds_coe_coe, ← coe_mul, tendsto_coe, tendsto_map'_iff, (· ∘ ·), tendsto_mul]
#align ennreal.tendsto_mul ENNReal.tendsto_mul
protected theorem Tendsto.mul {f : Filter α} {ma : α → ℝ≥0∞} {mb : α → ℝ≥0∞} {a b : ℝ≥0∞}
(hma : Tendsto ma f (𝓝 a)) (ha : a ≠ 0 ∨ b ≠ ∞) (hmb : Tendsto mb f (𝓝 b))
(hb : b ≠ 0 ∨ a ≠ ∞) : Tendsto (fun a => ma a * mb a) f (𝓝 (a * b)) :=
show Tendsto ((fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 * p.2) ∘ fun a => (ma a, mb a)) f (𝓝 (a * b)) from
Tendsto.comp (ENNReal.tendsto_mul ha hb) (hma.prod_mk_nhds hmb)
#align ennreal.tendsto.mul ENNReal.Tendsto.mul
theorem _root_.ContinuousOn.ennreal_mul [TopologicalSpace α] {f g : α → ℝ≥0∞} {s : Set α}
(hf : ContinuousOn f s) (hg : ContinuousOn g s) (h₁ : ∀ x ∈ s, f x ≠ 0 ∨ g x ≠ ∞)
(h₂ : ∀ x ∈ s, g x ≠ 0 ∨ f x ≠ ∞) : ContinuousOn (fun x => f x * g x) s := fun x hx =>
ENNReal.Tendsto.mul (hf x hx) (h₁ x hx) (hg x hx) (h₂ x hx)
#align continuous_on.ennreal_mul ContinuousOn.ennreal_mul
theorem _root_.Continuous.ennreal_mul [TopologicalSpace α] {f g : α → ℝ≥0∞} (hf : Continuous f)
(hg : Continuous g) (h₁ : ∀ x, f x ≠ 0 ∨ g x ≠ ∞) (h₂ : ∀ x, g x ≠ 0 ∨ f x ≠ ∞) :
Continuous fun x => f x * g x :=
continuous_iff_continuousAt.2 fun x =>
ENNReal.Tendsto.mul hf.continuousAt (h₁ x) hg.continuousAt (h₂ x)
#align continuous.ennreal_mul Continuous.ennreal_mul
protected theorem Tendsto.const_mul {f : Filter α} {m : α → ℝ≥0∞} {a b : ℝ≥0∞}
(hm : Tendsto m f (𝓝 b)) (hb : b ≠ 0 ∨ a ≠ ∞) : Tendsto (fun b => a * m b) f (𝓝 (a * b)) :=
by_cases (fun (this : a = 0) => by simp [this, tendsto_const_nhds]) fun ha : a ≠ 0 =>
ENNReal.Tendsto.mul tendsto_const_nhds (Or.inl ha) hm hb
#align ennreal.tendsto.const_mul ENNReal.Tendsto.const_mul
protected theorem Tendsto.mul_const {f : Filter α} {m : α → ℝ≥0∞} {a b : ℝ≥0∞}
(hm : Tendsto m f (𝓝 a)) (ha : a ≠ 0 ∨ b ≠ ∞) : Tendsto (fun x => m x * b) f (𝓝 (a * b)) := by
simpa only [mul_comm] using ENNReal.Tendsto.const_mul hm ha
#align ennreal.tendsto.mul_const ENNReal.Tendsto.mul_const
theorem tendsto_finset_prod_of_ne_top {ι : Type*} {f : ι → α → ℝ≥0∞} {x : Filter α} {a : ι → ℝ≥0∞}
(s : Finset ι) (h : ∀ i ∈ s, Tendsto (f i) x (𝓝 (a i))) (h' : ∀ i ∈ s, a i ≠ ∞) :
Tendsto (fun b => ∏ c ∈ s, f c b) x (𝓝 (∏ c ∈ s, a c)) := by
induction' s using Finset.induction with a s has IH
· simp [tendsto_const_nhds]
simp only [Finset.prod_insert has]
apply Tendsto.mul (h _ (Finset.mem_insert_self _ _))
· right
exact (prod_lt_top fun i hi => h' _ (Finset.mem_insert_of_mem hi)).ne
· exact IH (fun i hi => h _ (Finset.mem_insert_of_mem hi)) fun i hi =>
h' _ (Finset.mem_insert_of_mem hi)
· exact Or.inr (h' _ (Finset.mem_insert_self _ _))
#align ennreal.tendsto_finset_prod_of_ne_top ENNReal.tendsto_finset_prod_of_ne_top
protected theorem continuousAt_const_mul {a b : ℝ≥0∞} (h : a ≠ ∞ ∨ b ≠ 0) :
ContinuousAt (a * ·) b :=
Tendsto.const_mul tendsto_id h.symm
#align ennreal.continuous_at_const_mul ENNReal.continuousAt_const_mul
protected theorem continuousAt_mul_const {a b : ℝ≥0∞} (h : a ≠ ∞ ∨ b ≠ 0) :
ContinuousAt (fun x => x * a) b :=
Tendsto.mul_const tendsto_id h.symm
#align ennreal.continuous_at_mul_const ENNReal.continuousAt_mul_const
protected theorem continuous_const_mul {a : ℝ≥0∞} (ha : a ≠ ∞) : Continuous (a * ·) :=
continuous_iff_continuousAt.2 fun _ => ENNReal.continuousAt_const_mul (Or.inl ha)
#align ennreal.continuous_const_mul ENNReal.continuous_const_mul
protected theorem continuous_mul_const {a : ℝ≥0∞} (ha : a ≠ ∞) : Continuous fun x => x * a :=
continuous_iff_continuousAt.2 fun _ => ENNReal.continuousAt_mul_const (Or.inl ha)
#align ennreal.continuous_mul_const ENNReal.continuous_mul_const
protected theorem continuous_div_const (c : ℝ≥0∞) (c_ne_zero : c ≠ 0) :
Continuous fun x : ℝ≥0∞ => x / c := by
simp_rw [div_eq_mul_inv, continuous_iff_continuousAt]
intro x
exact ENNReal.continuousAt_mul_const (Or.intro_left _ (inv_ne_top.mpr c_ne_zero))
#align ennreal.continuous_div_const ENNReal.continuous_div_const
@[continuity]
theorem continuous_pow (n : ℕ) : Continuous fun a : ℝ≥0∞ => a ^ n := by
induction' n with n IH
· simp [continuous_const]
simp_rw [pow_add, pow_one, continuous_iff_continuousAt]
intro x
refine ENNReal.Tendsto.mul (IH.tendsto _) ?_ tendsto_id ?_ <;> by_cases H : x = 0
· simp only [H, zero_ne_top, Ne, or_true_iff, not_false_iff]
· exact Or.inl fun h => H (pow_eq_zero h)
· simp only [H, pow_eq_top_iff, zero_ne_top, false_or_iff, eq_self_iff_true, not_true, Ne,
not_false_iff, false_and_iff]
· simp only [H, true_or_iff, Ne, not_false_iff]
#align ennreal.continuous_pow ENNReal.continuous_pow
theorem continuousOn_sub :
ContinuousOn (fun p : ℝ≥0∞ × ℝ≥0∞ => p.fst - p.snd) { p : ℝ≥0∞ × ℝ≥0∞ | p ≠ ⟨∞, ∞⟩ } := by
rw [ContinuousOn]
rintro ⟨x, y⟩ hp
simp only [Ne, Set.mem_setOf_eq, Prod.mk.inj_iff] at hp
exact tendsto_nhdsWithin_of_tendsto_nhds (tendsto_sub (not_and_or.mp hp))
#align ennreal.continuous_on_sub ENNReal.continuousOn_sub
theorem continuous_sub_left {a : ℝ≥0∞} (a_ne_top : a ≠ ∞) : Continuous (a - ·) := by
change Continuous (Function.uncurry Sub.sub ∘ (a, ·))
refine continuousOn_sub.comp_continuous (Continuous.Prod.mk a) fun x => ?_
simp only [a_ne_top, Ne, mem_setOf_eq, Prod.mk.inj_iff, false_and_iff, not_false_iff]
#align ennreal.continuous_sub_left ENNReal.continuous_sub_left
theorem continuous_nnreal_sub {a : ℝ≥0} : Continuous fun x : ℝ≥0∞ => (a : ℝ≥0∞) - x :=
continuous_sub_left coe_ne_top
#align ennreal.continuous_nnreal_sub ENNReal.continuous_nnreal_sub
theorem continuousOn_sub_left (a : ℝ≥0∞) : ContinuousOn (a - ·) { x : ℝ≥0∞ | x ≠ ∞ } := by
rw [show (fun x => a - x) = (fun p : ℝ≥0∞ × ℝ≥0∞ => p.fst - p.snd) ∘ fun x => ⟨a, x⟩ by rfl]
apply ContinuousOn.comp continuousOn_sub (Continuous.continuousOn (Continuous.Prod.mk a))
rintro _ h (_ | _)
exact h none_eq_top
#align ennreal.continuous_on_sub_left ENNReal.continuousOn_sub_left
theorem continuous_sub_right (a : ℝ≥0∞) : Continuous fun x : ℝ≥0∞ => x - a := by
by_cases a_infty : a = ∞
· simp [a_infty, continuous_const]
· rw [show (fun x => x - a) = (fun p : ℝ≥0∞ × ℝ≥0∞ => p.fst - p.snd) ∘ fun x => ⟨x, a⟩ by rfl]
apply ContinuousOn.comp_continuous continuousOn_sub (continuous_id'.prod_mk continuous_const)
intro x
simp only [a_infty, Ne, mem_setOf_eq, Prod.mk.inj_iff, and_false_iff, not_false_iff]
#align ennreal.continuous_sub_right ENNReal.continuous_sub_right
protected theorem Tendsto.pow {f : Filter α} {m : α → ℝ≥0∞} {a : ℝ≥0∞} {n : ℕ}
(hm : Tendsto m f (𝓝 a)) : Tendsto (fun x => m x ^ n) f (𝓝 (a ^ n)) :=
((continuous_pow n).tendsto a).comp hm
#align ennreal.tendsto.pow ENNReal.Tendsto.pow
theorem le_of_forall_lt_one_mul_le {x y : ℝ≥0∞} (h : ∀ a < 1, a * x ≤ y) : x ≤ y := by
have : Tendsto (· * x) (𝓝[<] 1) (𝓝 (1 * x)) :=
(ENNReal.continuousAt_mul_const (Or.inr one_ne_zero)).mono_left inf_le_left
rw [one_mul] at this
exact le_of_tendsto this (eventually_nhdsWithin_iff.2 <| eventually_of_forall h)
#align ennreal.le_of_forall_lt_one_mul_le ENNReal.le_of_forall_lt_one_mul_le
theorem iInf_mul_left' {ι} {f : ι → ℝ≥0∞} {a : ℝ≥0∞} (h : a = ∞ → ⨅ i, f i = 0 → ∃ i, f i = 0)
(h0 : a = 0 → Nonempty ι) : ⨅ i, a * f i = a * ⨅ i, f i := by
by_cases H : a = ∞ ∧ ⨅ i, f i = 0
· rcases h H.1 H.2 with ⟨i, hi⟩
rw [H.2, mul_zero, ← bot_eq_zero, iInf_eq_bot]
exact fun b hb => ⟨i, by rwa [hi, mul_zero, ← bot_eq_zero]⟩
· rw [not_and_or] at H
cases isEmpty_or_nonempty ι
· rw [iInf_of_empty, iInf_of_empty, mul_top]
exact mt h0 (not_nonempty_iff.2 ‹_›)
· exact (ENNReal.mul_left_mono.map_iInf_of_continuousAt'
(ENNReal.continuousAt_const_mul H)).symm
#align ennreal.infi_mul_left' ENNReal.iInf_mul_left'
theorem iInf_mul_left {ι} [Nonempty ι] {f : ι → ℝ≥0∞} {a : ℝ≥0∞}
(h : a = ∞ → ⨅ i, f i = 0 → ∃ i, f i = 0) : ⨅ i, a * f i = a * ⨅ i, f i :=
iInf_mul_left' h fun _ => ‹Nonempty ι›
#align ennreal.infi_mul_left ENNReal.iInf_mul_left
theorem iInf_mul_right' {ι} {f : ι → ℝ≥0∞} {a : ℝ≥0∞} (h : a = ∞ → ⨅ i, f i = 0 → ∃ i, f i = 0)
(h0 : a = 0 → Nonempty ι) : ⨅ i, f i * a = (⨅ i, f i) * a := by
simpa only [mul_comm a] using iInf_mul_left' h h0
#align ennreal.infi_mul_right' ENNReal.iInf_mul_right'
theorem iInf_mul_right {ι} [Nonempty ι] {f : ι → ℝ≥0∞} {a : ℝ≥0∞}
(h : a = ∞ → ⨅ i, f i = 0 → ∃ i, f i = 0) : ⨅ i, f i * a = (⨅ i, f i) * a :=
iInf_mul_right' h fun _ => ‹Nonempty ι›
#align ennreal.infi_mul_right ENNReal.iInf_mul_right
theorem inv_map_iInf {ι : Sort*} {x : ι → ℝ≥0∞} : (iInf x)⁻¹ = ⨆ i, (x i)⁻¹ :=
OrderIso.invENNReal.map_iInf x
#align ennreal.inv_map_infi ENNReal.inv_map_iInf
theorem inv_map_iSup {ι : Sort*} {x : ι → ℝ≥0∞} : (iSup x)⁻¹ = ⨅ i, (x i)⁻¹ :=
OrderIso.invENNReal.map_iSup x
#align ennreal.inv_map_supr ENNReal.inv_map_iSup
theorem inv_limsup {ι : Sort _} {x : ι → ℝ≥0∞} {l : Filter ι} :
(limsup x l)⁻¹ = liminf (fun i => (x i)⁻¹) l :=
OrderIso.invENNReal.limsup_apply
#align ennreal.inv_limsup ENNReal.inv_limsup
theorem inv_liminf {ι : Sort _} {x : ι → ℝ≥0∞} {l : Filter ι} :
(liminf x l)⁻¹ = limsup (fun i => (x i)⁻¹) l :=
OrderIso.invENNReal.liminf_apply
#align ennreal.inv_liminf ENNReal.inv_liminf
instance : ContinuousInv ℝ≥0∞ := ⟨OrderIso.invENNReal.continuous⟩
@[simp] -- Porting note (#11215): TODO: generalize to `[InvolutiveInv _] [ContinuousInv _]`
protected theorem tendsto_inv_iff {f : Filter α} {m : α → ℝ≥0∞} {a : ℝ≥0∞} :
Tendsto (fun x => (m x)⁻¹) f (𝓝 a⁻¹) ↔ Tendsto m f (𝓝 a) :=
⟨fun h => by simpa only [inv_inv] using Tendsto.inv h, Tendsto.inv⟩
#align ennreal.tendsto_inv_iff ENNReal.tendsto_inv_iff
protected theorem Tendsto.div {f : Filter α} {ma : α → ℝ≥0∞} {mb : α → ℝ≥0∞} {a b : ℝ≥0∞}
(hma : Tendsto ma f (𝓝 a)) (ha : a ≠ 0 ∨ b ≠ 0) (hmb : Tendsto mb f (𝓝 b))
(hb : b ≠ ∞ ∨ a ≠ ∞) : Tendsto (fun a => ma a / mb a) f (𝓝 (a / b)) := by
apply Tendsto.mul hma _ (ENNReal.tendsto_inv_iff.2 hmb) _ <;> simp [ha, hb]
#align ennreal.tendsto.div ENNReal.Tendsto.div
protected theorem Tendsto.const_div {f : Filter α} {m : α → ℝ≥0∞} {a b : ℝ≥0∞}
(hm : Tendsto m f (𝓝 b)) (hb : b ≠ ∞ ∨ a ≠ ∞) : Tendsto (fun b => a / m b) f (𝓝 (a / b)) := by
apply Tendsto.const_mul (ENNReal.tendsto_inv_iff.2 hm)
simp [hb]
#align ennreal.tendsto.const_div ENNReal.Tendsto.const_div
protected theorem Tendsto.div_const {f : Filter α} {m : α → ℝ≥0∞} {a b : ℝ≥0∞}
(hm : Tendsto m f (𝓝 a)) (ha : a ≠ 0 ∨ b ≠ 0) : Tendsto (fun x => m x / b) f (𝓝 (a / b)) := by
apply Tendsto.mul_const hm
simp [ha]
#align ennreal.tendsto.div_const ENNReal.Tendsto.div_const
protected theorem tendsto_inv_nat_nhds_zero : Tendsto (fun n : ℕ => (n : ℝ≥0∞)⁻¹) atTop (𝓝 0) :=
ENNReal.inv_top ▸ ENNReal.tendsto_inv_iff.2 tendsto_nat_nhds_top
#align ennreal.tendsto_inv_nat_nhds_zero ENNReal.tendsto_inv_nat_nhds_zero
theorem iSup_add {ι : Sort*} {s : ι → ℝ≥0∞} [Nonempty ι] : iSup s + a = ⨆ b, s b + a :=
Monotone.map_iSup_of_continuousAt' (continuousAt_id.add continuousAt_const) <|
monotone_id.add monotone_const
#align ennreal.supr_add ENNReal.iSup_add
theorem biSup_add' {ι : Sort*} {p : ι → Prop} (h : ∃ i, p i) {f : ι → ℝ≥0∞} :
(⨆ (i) (_ : p i), f i) + a = ⨆ (i) (_ : p i), f i + a := by
haveI : Nonempty { i // p i } := nonempty_subtype.2 h
simp only [iSup_subtype', iSup_add]
#align ennreal.bsupr_add' ENNReal.biSup_add'
theorem add_biSup' {ι : Sort*} {p : ι → Prop} (h : ∃ i, p i) {f : ι → ℝ≥0∞} :
(a + ⨆ (i) (_ : p i), f i) = ⨆ (i) (_ : p i), a + f i := by
simp only [add_comm a, biSup_add' h]
#align ennreal.add_bsupr' ENNReal.add_biSup'
theorem biSup_add {ι} {s : Set ι} (hs : s.Nonempty) {f : ι → ℝ≥0∞} :
(⨆ i ∈ s, f i) + a = ⨆ i ∈ s, f i + a :=
biSup_add' hs
#align ennreal.bsupr_add ENNReal.biSup_add
theorem add_biSup {ι} {s : Set ι} (hs : s.Nonempty) {f : ι → ℝ≥0∞} :
(a + ⨆ i ∈ s, f i) = ⨆ i ∈ s, a + f i :=
add_biSup' hs
#align ennreal.add_bsupr ENNReal.add_biSup
theorem sSup_add {s : Set ℝ≥0∞} (hs : s.Nonempty) : sSup s + a = ⨆ b ∈ s, b + a := by
rw [sSup_eq_iSup, biSup_add hs]
#align ennreal.Sup_add ENNReal.sSup_add
theorem add_iSup {ι : Sort*} {s : ι → ℝ≥0∞} [Nonempty ι] : a + iSup s = ⨆ b, a + s b := by
rw [add_comm, iSup_add]; simp [add_comm]
#align ennreal.add_supr ENNReal.add_iSup
theorem iSup_add_iSup_le {ι ι' : Sort*} [Nonempty ι] [Nonempty ι'] {f : ι → ℝ≥0∞} {g : ι' → ℝ≥0∞}
{a : ℝ≥0∞} (h : ∀ i j, f i + g j ≤ a) : iSup f + iSup g ≤ a := by
simp_rw [iSup_add, add_iSup]; exact iSup₂_le h
#align ennreal.supr_add_supr_le ENNReal.iSup_add_iSup_le
theorem biSup_add_biSup_le' {ι ι'} {p : ι → Prop} {q : ι' → Prop} (hp : ∃ i, p i) (hq : ∃ j, q j)
{f : ι → ℝ≥0∞} {g : ι' → ℝ≥0∞} {a : ℝ≥0∞} (h : ∀ i, p i → ∀ j, q j → f i + g j ≤ a) :
((⨆ (i) (_ : p i), f i) + ⨆ (j) (_ : q j), g j) ≤ a := by
simp_rw [biSup_add' hp, add_biSup' hq]
exact iSup₂_le fun i hi => iSup₂_le (h i hi)
#align ennreal.bsupr_add_bsupr_le' ENNReal.biSup_add_biSup_le'
theorem biSup_add_biSup_le {ι ι'} {s : Set ι} {t : Set ι'} (hs : s.Nonempty) (ht : t.Nonempty)
{f : ι → ℝ≥0∞} {g : ι' → ℝ≥0∞} {a : ℝ≥0∞} (h : ∀ i ∈ s, ∀ j ∈ t, f i + g j ≤ a) :
((⨆ i ∈ s, f i) + ⨆ j ∈ t, g j) ≤ a :=
biSup_add_biSup_le' hs ht h
#align ennreal.bsupr_add_bsupr_le ENNReal.biSup_add_biSup_le
theorem iSup_add_iSup {ι : Sort*} {f g : ι → ℝ≥0∞} (h : ∀ i j, ∃ k, f i + g j ≤ f k + g k) :
iSup f + iSup g = ⨆ a, f a + g a := by
cases isEmpty_or_nonempty ι
· simp only [iSup_of_empty, bot_eq_zero, zero_add]
· refine le_antisymm ?_ (iSup_le fun a => add_le_add (le_iSup _ _) (le_iSup _ _))
refine iSup_add_iSup_le fun i j => ?_
rcases h i j with ⟨k, hk⟩
exact le_iSup_of_le k hk
#align ennreal.supr_add_supr ENNReal.iSup_add_iSup
theorem iSup_add_iSup_of_monotone {ι : Type*} [SemilatticeSup ι] {f g : ι → ℝ≥0∞} (hf : Monotone f)
(hg : Monotone g) : iSup f + iSup g = ⨆ a, f a + g a :=
iSup_add_iSup fun i j => ⟨i ⊔ j, add_le_add (hf <| le_sup_left) (hg <| le_sup_right)⟩
#align ennreal.supr_add_supr_of_monotone ENNReal.iSup_add_iSup_of_monotone
theorem finset_sum_iSup_nat {α} {ι} [SemilatticeSup ι] {s : Finset α} {f : α → ι → ℝ≥0∞}
(hf : ∀ a, Monotone (f a)) : (∑ a ∈ s, iSup (f a)) = ⨆ n, ∑ a ∈ s, f a n := by
refine Finset.induction_on s ?_ ?_
· simp
· intro a s has ih
simp only [Finset.sum_insert has]
rw [ih, iSup_add_iSup_of_monotone (hf a)]
intro i j h
exact Finset.sum_le_sum fun a _ => hf a h
#align ennreal.finset_sum_supr_nat ENNReal.finset_sum_iSup_nat
theorem mul_iSup {ι : Sort*} {f : ι → ℝ≥0∞} {a : ℝ≥0∞} : a * iSup f = ⨆ i, a * f i := by
by_cases hf : ∀ i, f i = 0
· obtain rfl : f = fun _ => 0 := funext hf
simp only [iSup_zero_eq_zero, mul_zero]
· refine (monotone_id.const_mul' _).map_iSup_of_continuousAt ?_ (mul_zero a)
refine ENNReal.Tendsto.const_mul tendsto_id (Or.inl ?_)
exact mt iSup_eq_zero.1 hf
#align ennreal.mul_supr ENNReal.mul_iSup
theorem mul_sSup {s : Set ℝ≥0∞} {a : ℝ≥0∞} : a * sSup s = ⨆ i ∈ s, a * i := by
simp only [sSup_eq_iSup, mul_iSup]
#align ennreal.mul_Sup ENNReal.mul_sSup
theorem iSup_mul {ι : Sort*} {f : ι → ℝ≥0∞} {a : ℝ≥0∞} : iSup f * a = ⨆ i, f i * a := by
rw [mul_comm, mul_iSup]; congr; funext; rw [mul_comm]
#align ennreal.supr_mul ENNReal.iSup_mul
theorem smul_iSup {ι : Sort*} {R} [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞] (f : ι → ℝ≥0∞)
(c : R) : (c • ⨆ i, f i) = ⨆ i, c • f i := by
-- Porting note: replaced `iSup _` with `iSup f`
simp only [← smul_one_mul c (f _), ← smul_one_mul c (iSup f), ENNReal.mul_iSup]
#align ennreal.smul_supr ENNReal.smul_iSup
theorem smul_sSup {R} [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞] (s : Set ℝ≥0∞) (c : R) :
c • sSup s = ⨆ i ∈ s, c • i := by
-- Porting note: replaced `_` with `s`
simp_rw [← smul_one_mul c (sSup s), ENNReal.mul_sSup, smul_one_mul]
#align ennreal.smul_Sup ENNReal.smul_sSup
theorem iSup_div {ι : Sort*} {f : ι → ℝ≥0∞} {a : ℝ≥0∞} : iSup f / a = ⨆ i, f i / a :=
iSup_mul
#align ennreal.supr_div ENNReal.iSup_div
protected theorem tendsto_coe_sub {b : ℝ≥0∞} :
Tendsto (fun b : ℝ≥0∞ => ↑r - b) (𝓝 b) (𝓝 (↑r - b)) :=
continuous_nnreal_sub.tendsto _
#align ennreal.tendsto_coe_sub ENNReal.tendsto_coe_sub
theorem sub_iSup {ι : Sort*} [Nonempty ι] {b : ι → ℝ≥0∞} (hr : a < ∞) :
(a - ⨆ i, b i) = ⨅ i, a - b i :=
antitone_const_tsub.map_iSup_of_continuousAt' (continuous_sub_left hr.ne).continuousAt
#align ennreal.sub_supr ENNReal.sub_iSup
theorem exists_countable_dense_no_zero_top :
∃ s : Set ℝ≥0∞, s.Countable ∧ Dense s ∧ 0 ∉ s ∧ ∞ ∉ s := by
obtain ⟨s, s_count, s_dense, hs⟩ :
∃ s : Set ℝ≥0∞, s.Countable ∧ Dense s ∧ (∀ x, IsBot x → x ∉ s) ∧ ∀ x, IsTop x → x ∉ s :=
exists_countable_dense_no_bot_top ℝ≥0∞
exact ⟨s, s_count, s_dense, fun h => hs.1 0 (by simp) h, fun h => hs.2 ∞ (by simp) h⟩
#align ennreal.exists_countable_dense_no_zero_top ENNReal.exists_countable_dense_no_zero_top
theorem exists_lt_add_of_lt_add {x y z : ℝ≥0∞} (h : x < y + z) (hy : y ≠ 0) (hz : z ≠ 0) :
∃ y' z', y' < y ∧ z' < z ∧ x < y' + z' := by
have : NeZero y := ⟨hy⟩
have : NeZero z := ⟨hz⟩
have A : Tendsto (fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 + p.2) (𝓝[<] y ×ˢ 𝓝[<] z) (𝓝 (y + z)) := by
apply Tendsto.mono_left _ (Filter.prod_mono nhdsWithin_le_nhds nhdsWithin_le_nhds)
rw [← nhds_prod_eq]
exact tendsto_add
rcases ((A.eventually (lt_mem_nhds h)).and
(Filter.prod_mem_prod self_mem_nhdsWithin self_mem_nhdsWithin)).exists with
⟨⟨y', z'⟩, hx, hy', hz'⟩
exact ⟨y', z', hy', hz', hx⟩
#align ennreal.exists_lt_add_of_lt_add ENNReal.exists_lt_add_of_lt_add
theorem ofReal_cinfi (f : α → ℝ) [Nonempty α] :
ENNReal.ofReal (⨅ i, f i) = ⨅ i, ENNReal.ofReal (f i) := by
by_cases hf : BddBelow (range f)
· exact
Monotone.map_ciInf_of_continuousAt ENNReal.continuous_ofReal.continuousAt
(fun i j hij => ENNReal.ofReal_le_ofReal hij) hf
· symm
rw [Real.iInf_of_not_bddBelow hf, ENNReal.ofReal_zero, ← ENNReal.bot_eq_zero, iInf_eq_bot]
obtain ⟨y, hy_mem, hy_neg⟩ := not_bddBelow_iff.mp hf 0
obtain ⟨i, rfl⟩ := mem_range.mpr hy_mem
refine fun x hx => ⟨i, ?_⟩
rwa [ENNReal.ofReal_of_nonpos hy_neg.le]
#align ennreal.of_real_cinfi ENNReal.ofReal_cinfi
end TopologicalSpace
section Liminf
theorem exists_frequently_lt_of_liminf_ne_top {ι : Type*} {l : Filter ι} {x : ι → ℝ}
(hx : liminf (fun n => (Real.nnabs (x n) : ℝ≥0∞)) l ≠ ∞) : ∃ R, ∃ᶠ n in l, x n < R := by
by_contra h
simp_rw [not_exists, not_frequently, not_lt] at h
refine hx (ENNReal.eq_top_of_forall_nnreal_le fun r => le_limsInf_of_le (by isBoundedDefault) ?_)
simp only [eventually_map, ENNReal.coe_le_coe]
filter_upwards [h r] with i hi using hi.trans (le_abs_self (x i))
#align ennreal.exists_frequently_lt_of_liminf_ne_top ENNReal.exists_frequently_lt_of_liminf_ne_top
theorem exists_frequently_lt_of_liminf_ne_top' {ι : Type*} {l : Filter ι} {x : ι → ℝ}
(hx : liminf (fun n => (Real.nnabs (x n) : ℝ≥0∞)) l ≠ ∞) : ∃ R, ∃ᶠ n in l, R < x n := by
by_contra h
simp_rw [not_exists, not_frequently, not_lt] at h
refine hx (ENNReal.eq_top_of_forall_nnreal_le fun r => le_limsInf_of_le (by isBoundedDefault) ?_)
simp only [eventually_map, ENNReal.coe_le_coe]
filter_upwards [h (-r)] with i hi using(le_neg.1 hi).trans (neg_le_abs _)
#align ennreal.exists_frequently_lt_of_liminf_ne_top' ENNReal.exists_frequently_lt_of_liminf_ne_top'
theorem exists_upcrossings_of_not_bounded_under {ι : Type*} {l : Filter ι} {x : ι → ℝ}
(hf : liminf (fun i => (Real.nnabs (x i) : ℝ≥0∞)) l ≠ ∞)
(hbdd : ¬IsBoundedUnder (· ≤ ·) l fun i => |x i|) :
∃ a b : ℚ, a < b ∧ (∃ᶠ i in l, x i < a) ∧ ∃ᶠ i in l, ↑b < x i := by
rw [isBoundedUnder_le_abs, not_and_or] at hbdd
obtain hbdd | hbdd := hbdd
· obtain ⟨R, hR⟩ := exists_frequently_lt_of_liminf_ne_top hf
obtain ⟨q, hq⟩ := exists_rat_gt R
refine ⟨q, q + 1, (lt_add_iff_pos_right _).2 zero_lt_one, ?_, ?_⟩
· refine fun hcon => hR ?_
filter_upwards [hcon] with x hx using not_lt.2 (lt_of_lt_of_le hq (not_lt.1 hx)).le
· simp only [IsBoundedUnder, IsBounded, eventually_map, eventually_atTop, ge_iff_le,
not_exists, not_forall, not_le, exists_prop] at hbdd
refine fun hcon => hbdd ↑(q + 1) ?_
filter_upwards [hcon] with x hx using not_lt.1 hx
· obtain ⟨R, hR⟩ := exists_frequently_lt_of_liminf_ne_top' hf
obtain ⟨q, hq⟩ := exists_rat_lt R
refine ⟨q - 1, q, (sub_lt_self_iff _).2 zero_lt_one, ?_, ?_⟩
· simp only [IsBoundedUnder, IsBounded, eventually_map, eventually_atTop, ge_iff_le,
not_exists, not_forall, not_le, exists_prop] at hbdd
refine fun hcon => hbdd ↑(q - 1) ?_
filter_upwards [hcon] with x hx using not_lt.1 hx
· refine fun hcon => hR ?_
filter_upwards [hcon] with x hx using not_lt.2 ((not_lt.1 hx).trans hq.le)
#align ennreal.exists_upcrossings_of_not_bounded_under ENNReal.exists_upcrossings_of_not_bounded_under
end Liminf
section tsum
variable {f g : α → ℝ≥0∞}
@[norm_cast]
protected theorem hasSum_coe {f : α → ℝ≥0} {r : ℝ≥0} :
HasSum (fun a => (f a : ℝ≥0∞)) ↑r ↔ HasSum f r := by
simp only [HasSum, ← coe_finset_sum, tendsto_coe]
#align ennreal.has_sum_coe ENNReal.hasSum_coe
protected theorem tsum_coe_eq {f : α → ℝ≥0} (h : HasSum f r) : (∑' a, (f a : ℝ≥0∞)) = r :=
(ENNReal.hasSum_coe.2 h).tsum_eq
#align ennreal.tsum_coe_eq ENNReal.tsum_coe_eq
protected theorem coe_tsum {f : α → ℝ≥0} : Summable f → ↑(tsum f) = ∑' a, (f a : ℝ≥0∞)
| ⟨r, hr⟩ => by rw [hr.tsum_eq, ENNReal.tsum_coe_eq hr]
#align ennreal.coe_tsum ENNReal.coe_tsum
protected theorem hasSum : HasSum f (⨆ s : Finset α, ∑ a ∈ s, f a) :=
tendsto_atTop_iSup fun _ _ => Finset.sum_le_sum_of_subset
#align ennreal.has_sum ENNReal.hasSum
@[simp]
protected theorem summable : Summable f :=
⟨_, ENNReal.hasSum⟩
#align ennreal.summable ENNReal.summable
theorem tsum_coe_ne_top_iff_summable {f : β → ℝ≥0} : (∑' b, (f b : ℝ≥0∞)) ≠ ∞ ↔ Summable f := by
refine ⟨fun h => ?_, fun h => ENNReal.coe_tsum h ▸ ENNReal.coe_ne_top⟩
lift ∑' b, (f b : ℝ≥0∞) to ℝ≥0 using h with a ha
refine ⟨a, ENNReal.hasSum_coe.1 ?_⟩
rw [ha]
exact ENNReal.summable.hasSum
#align ennreal.tsum_coe_ne_top_iff_summable ENNReal.tsum_coe_ne_top_iff_summable
protected theorem tsum_eq_iSup_sum : ∑' a, f a = ⨆ s : Finset α, ∑ a ∈ s, f a :=
ENNReal.hasSum.tsum_eq
#align ennreal.tsum_eq_supr_sum ENNReal.tsum_eq_iSup_sum
protected theorem tsum_eq_iSup_sum' {ι : Type*} (s : ι → Finset α) (hs : ∀ t, ∃ i, t ⊆ s i) :
∑' a, f a = ⨆ i, ∑ a ∈ s i, f a := by
rw [ENNReal.tsum_eq_iSup_sum]
symm
change ⨆ i : ι, (fun t : Finset α => ∑ a ∈ t, f a) (s i) = ⨆ s : Finset α, ∑ a ∈ s, f a
exact (Finset.sum_mono_set f).iSup_comp_eq hs
#align ennreal.tsum_eq_supr_sum' ENNReal.tsum_eq_iSup_sum'
protected theorem tsum_sigma {β : α → Type*} (f : ∀ a, β a → ℝ≥0∞) :
∑' p : Σa, β a, f p.1 p.2 = ∑' (a) (b), f a b :=
tsum_sigma' (fun _ => ENNReal.summable) ENNReal.summable
#align ennreal.tsum_sigma ENNReal.tsum_sigma
protected theorem tsum_sigma' {β : α → Type*} (f : (Σa, β a) → ℝ≥0∞) :
∑' p : Σa, β a, f p = ∑' (a) (b), f ⟨a, b⟩ :=
tsum_sigma' (fun _ => ENNReal.summable) ENNReal.summable
#align ennreal.tsum_sigma' ENNReal.tsum_sigma'
protected theorem tsum_prod {f : α → β → ℝ≥0∞} : ∑' p : α × β, f p.1 p.2 = ∑' (a) (b), f a b :=
tsum_prod' ENNReal.summable fun _ => ENNReal.summable
#align ennreal.tsum_prod ENNReal.tsum_prod
protected theorem tsum_prod' {f : α × β → ℝ≥0∞} : ∑' p : α × β, f p = ∑' (a) (b), f (a, b) :=
tsum_prod' ENNReal.summable fun _ => ENNReal.summable
#align ennreal.tsum_prod' ENNReal.tsum_prod'
protected theorem tsum_comm {f : α → β → ℝ≥0∞} : ∑' a, ∑' b, f a b = ∑' b, ∑' a, f a b :=
tsum_comm' ENNReal.summable (fun _ => ENNReal.summable) fun _ => ENNReal.summable
#align ennreal.tsum_comm ENNReal.tsum_comm
protected theorem tsum_add : ∑' a, (f a + g a) = ∑' a, f a + ∑' a, g a :=
tsum_add ENNReal.summable ENNReal.summable
#align ennreal.tsum_add ENNReal.tsum_add
protected theorem tsum_le_tsum (h : ∀ a, f a ≤ g a) : ∑' a, f a ≤ ∑' a, g a :=
tsum_le_tsum h ENNReal.summable ENNReal.summable
#align ennreal.tsum_le_tsum ENNReal.tsum_le_tsum
@[gcongr]
protected theorem _root_.GCongr.ennreal_tsum_le_tsum (h : ∀ a, f a ≤ g a) : tsum f ≤ tsum g :=
ENNReal.tsum_le_tsum h
protected theorem sum_le_tsum {f : α → ℝ≥0∞} (s : Finset α) : ∑ x ∈ s, f x ≤ ∑' x, f x :=
sum_le_tsum s (fun _ _ => zero_le _) ENNReal.summable
#align ennreal.sum_le_tsum ENNReal.sum_le_tsum
protected theorem tsum_eq_iSup_nat' {f : ℕ → ℝ≥0∞} {N : ℕ → ℕ} (hN : Tendsto N atTop atTop) :
∑' i : ℕ, f i = ⨆ i : ℕ, ∑ a ∈ Finset.range (N i), f a :=
ENNReal.tsum_eq_iSup_sum' _ fun t =>
let ⟨n, hn⟩ := t.exists_nat_subset_range
let ⟨k, _, hk⟩ := exists_le_of_tendsto_atTop hN 0 n
⟨k, Finset.Subset.trans hn (Finset.range_mono hk)⟩
#align ennreal.tsum_eq_supr_nat' ENNReal.tsum_eq_iSup_nat'
protected theorem tsum_eq_iSup_nat {f : ℕ → ℝ≥0∞} :
∑' i : ℕ, f i = ⨆ i : ℕ, ∑ a ∈ Finset.range i, f a :=
ENNReal.tsum_eq_iSup_sum' _ Finset.exists_nat_subset_range
#align ennreal.tsum_eq_supr_nat ENNReal.tsum_eq_iSup_nat
protected theorem tsum_eq_liminf_sum_nat {f : ℕ → ℝ≥0∞} :
∑' i, f i = liminf (fun n => ∑ i ∈ Finset.range n, f i) atTop :=
ENNReal.summable.hasSum.tendsto_sum_nat.liminf_eq.symm
#align ennreal.tsum_eq_liminf_sum_nat ENNReal.tsum_eq_liminf_sum_nat
protected theorem tsum_eq_limsup_sum_nat {f : ℕ → ℝ≥0∞} :
∑' i, f i = limsup (fun n => ∑ i ∈ Finset.range n, f i) atTop :=
ENNReal.summable.hasSum.tendsto_sum_nat.limsup_eq.symm
protected theorem le_tsum (a : α) : f a ≤ ∑' a, f a :=
le_tsum' ENNReal.summable a
#align ennreal.le_tsum ENNReal.le_tsum
@[simp]
protected theorem tsum_eq_zero : ∑' i, f i = 0 ↔ ∀ i, f i = 0 :=
tsum_eq_zero_iff ENNReal.summable
#align ennreal.tsum_eq_zero ENNReal.tsum_eq_zero
protected theorem tsum_eq_top_of_eq_top : (∃ a, f a = ∞) → ∑' a, f a = ∞
| ⟨a, ha⟩ => top_unique <| ha ▸ ENNReal.le_tsum a
#align ennreal.tsum_eq_top_of_eq_top ENNReal.tsum_eq_top_of_eq_top
protected theorem lt_top_of_tsum_ne_top {a : α → ℝ≥0∞} (tsum_ne_top : ∑' i, a i ≠ ∞) (j : α) :
a j < ∞ := by
contrapose! tsum_ne_top with h
exact ENNReal.tsum_eq_top_of_eq_top ⟨j, top_unique h⟩
#align ennreal.lt_top_of_tsum_ne_top ENNReal.lt_top_of_tsum_ne_top
@[simp]
protected theorem tsum_top [Nonempty α] : ∑' _ : α, ∞ = ∞ :=
let ⟨a⟩ := ‹Nonempty α›
ENNReal.tsum_eq_top_of_eq_top ⟨a, rfl⟩
#align ennreal.tsum_top ENNReal.tsum_top
theorem tsum_const_eq_top_of_ne_zero {α : Type*} [Infinite α] {c : ℝ≥0∞} (hc : c ≠ 0) :
∑' _ : α, c = ∞ := by
have A : Tendsto (fun n : ℕ => (n : ℝ≥0∞) * c) atTop (𝓝 (∞ * c)) := by
apply ENNReal.Tendsto.mul_const tendsto_nat_nhds_top
simp only [true_or_iff, top_ne_zero, Ne, not_false_iff]
have B : ∀ n : ℕ, (n : ℝ≥0∞) * c ≤ ∑' _ : α, c := fun n => by
rcases Infinite.exists_subset_card_eq α n with ⟨s, hs⟩
simpa [hs] using @ENNReal.sum_le_tsum α (fun _ => c) s
simpa [hc] using le_of_tendsto' A B
#align ennreal.tsum_const_eq_top_of_ne_zero ENNReal.tsum_const_eq_top_of_ne_zero
protected theorem ne_top_of_tsum_ne_top (h : ∑' a, f a ≠ ∞) (a : α) : f a ≠ ∞ := fun ha =>
h <| ENNReal.tsum_eq_top_of_eq_top ⟨a, ha⟩
#align ennreal.ne_top_of_tsum_ne_top ENNReal.ne_top_of_tsum_ne_top
protected theorem tsum_mul_left : ∑' i, a * f i = a * ∑' i, f i := by
by_cases hf : ∀ i, f i = 0
· simp [hf]
· rw [← ENNReal.tsum_eq_zero] at hf
have : Tendsto (fun s : Finset α => ∑ j ∈ s, a * f j) atTop (𝓝 (a * ∑' i, f i)) := by
simp only [← Finset.mul_sum]
exact ENNReal.Tendsto.const_mul ENNReal.summable.hasSum (Or.inl hf)
exact HasSum.tsum_eq this
#align ennreal.tsum_mul_left ENNReal.tsum_mul_left
protected theorem tsum_mul_right : ∑' i, f i * a = (∑' i, f i) * a := by
simp [mul_comm, ENNReal.tsum_mul_left]
#align ennreal.tsum_mul_right ENNReal.tsum_mul_right
protected theorem tsum_const_smul {R} [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞] (a : R) :
∑' i, a • f i = a • ∑' i, f i := by
simpa only [smul_one_mul] using @ENNReal.tsum_mul_left _ (a • (1 : ℝ≥0∞)) _
#align ennreal.tsum_const_smul ENNReal.tsum_const_smul
@[simp]
theorem tsum_iSup_eq {α : Type*} (a : α) {f : α → ℝ≥0∞} : (∑' b : α, ⨆ _ : a = b, f b) = f a :=
(tsum_eq_single a fun _ h => by simp [h.symm]).trans <| by simp
#align ennreal.tsum_supr_eq ENNReal.tsum_iSup_eq
theorem hasSum_iff_tendsto_nat {f : ℕ → ℝ≥0∞} (r : ℝ≥0∞) :
HasSum f r ↔ Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop (𝓝 r) := by
refine ⟨HasSum.tendsto_sum_nat, fun h => ?_⟩
rw [← iSup_eq_of_tendsto _ h, ← ENNReal.tsum_eq_iSup_nat]
· exact ENNReal.summable.hasSum
· exact fun s t hst => Finset.sum_le_sum_of_subset (Finset.range_subset.2 hst)
#align ennreal.has_sum_iff_tendsto_nat ENNReal.hasSum_iff_tendsto_nat
theorem tendsto_nat_tsum (f : ℕ → ℝ≥0∞) :
Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop (𝓝 (∑' n, f n)) := by
rw [← hasSum_iff_tendsto_nat]
exact ENNReal.summable.hasSum
#align ennreal.tendsto_nat_tsum ENNReal.tendsto_nat_tsum
theorem toNNReal_apply_of_tsum_ne_top {α : Type*} {f : α → ℝ≥0∞} (hf : ∑' i, f i ≠ ∞) (x : α) :
(((ENNReal.toNNReal ∘ f) x : ℝ≥0) : ℝ≥0∞) = f x :=
coe_toNNReal <| ENNReal.ne_top_of_tsum_ne_top hf _
#align ennreal.to_nnreal_apply_of_tsum_ne_top ENNReal.toNNReal_apply_of_tsum_ne_top
theorem summable_toNNReal_of_tsum_ne_top {α : Type*} {f : α → ℝ≥0∞} (hf : ∑' i, f i ≠ ∞) :
Summable (ENNReal.toNNReal ∘ f) := by
simpa only [← tsum_coe_ne_top_iff_summable, toNNReal_apply_of_tsum_ne_top hf] using hf
#align ennreal.summable_to_nnreal_of_tsum_ne_top ENNReal.summable_toNNReal_of_tsum_ne_top
theorem tendsto_cofinite_zero_of_tsum_ne_top {α} {f : α → ℝ≥0∞} (hf : ∑' x, f x ≠ ∞) :
Tendsto f cofinite (𝓝 0) := by
have f_ne_top : ∀ n, f n ≠ ∞ := ENNReal.ne_top_of_tsum_ne_top hf
have h_f_coe : f = fun n => ((f n).toNNReal : ENNReal) :=
funext fun n => (coe_toNNReal (f_ne_top n)).symm
rw [h_f_coe, ← @coe_zero, tendsto_coe]
exact NNReal.tendsto_cofinite_zero_of_summable (summable_toNNReal_of_tsum_ne_top hf)
#align ennreal.tendsto_cofinite_zero_of_tsum_ne_top ENNReal.tendsto_cofinite_zero_of_tsum_ne_top
theorem tendsto_atTop_zero_of_tsum_ne_top {f : ℕ → ℝ≥0∞} (hf : ∑' x, f x ≠ ∞) :
Tendsto f atTop (𝓝 0) := by
rw [← Nat.cofinite_eq_atTop]
exact tendsto_cofinite_zero_of_tsum_ne_top hf
#align ennreal.tendsto_at_top_zero_of_tsum_ne_top ENNReal.tendsto_atTop_zero_of_tsum_ne_top
/-- The sum over the complement of a finset tends to `0` when the finset grows to cover the whole
space. This does not need a summability assumption, as otherwise all sums are zero. -/
theorem tendsto_tsum_compl_atTop_zero {α : Type*} {f : α → ℝ≥0∞} (hf : ∑' x, f x ≠ ∞) :
Tendsto (fun s : Finset α => ∑' b : { x // x ∉ s }, f b) atTop (𝓝 0) := by
lift f to α → ℝ≥0 using ENNReal.ne_top_of_tsum_ne_top hf
convert ENNReal.tendsto_coe.2 (NNReal.tendsto_tsum_compl_atTop_zero f)
rw [ENNReal.coe_tsum]
exact NNReal.summable_comp_injective (tsum_coe_ne_top_iff_summable.1 hf) Subtype.coe_injective
#align ennreal.tendsto_tsum_compl_at_top_zero ENNReal.tendsto_tsum_compl_atTop_zero
protected theorem tsum_apply {ι α : Type*} {f : ι → α → ℝ≥0∞} {x : α} :
(∑' i, f i) x = ∑' i, f i x :=
tsum_apply <| Pi.summable.mpr fun _ => ENNReal.summable
#align ennreal.tsum_apply ENNReal.tsum_apply
theorem tsum_sub {f : ℕ → ℝ≥0∞} {g : ℕ → ℝ≥0∞} (h₁ : ∑' i, g i ≠ ∞) (h₂ : g ≤ f) :
∑' i, (f i - g i) = ∑' i, f i - ∑' i, g i :=
have : ∀ i, f i - g i + g i = f i := fun i => tsub_add_cancel_of_le (h₂ i)
ENNReal.eq_sub_of_add_eq h₁ <| by simp only [← ENNReal.tsum_add, this]
#align ennreal.tsum_sub ENNReal.tsum_sub
theorem tsum_comp_le_tsum_of_injective {f : α → β} (hf : Injective f) (g : β → ℝ≥0∞) :
∑' x, g (f x) ≤ ∑' y, g y :=
tsum_le_tsum_of_inj f hf (fun _ _ => zero_le _) (fun _ => le_rfl) ENNReal.summable
ENNReal.summable
theorem tsum_le_tsum_comp_of_surjective {f : α → β} (hf : Surjective f) (g : β → ℝ≥0∞) :
∑' y, g y ≤ ∑' x, g (f x) :=
calc ∑' y, g y = ∑' y, g (f (surjInv hf y)) := by simp only [surjInv_eq hf]
_ ≤ ∑' x, g (f x) := tsum_comp_le_tsum_of_injective (injective_surjInv hf) _
theorem tsum_mono_subtype (f : α → ℝ≥0∞) {s t : Set α} (h : s ⊆ t) :
∑' x : s, f x ≤ ∑' x : t, f x :=
tsum_comp_le_tsum_of_injective (inclusion_injective h) _
#align ennreal.tsum_mono_subtype ENNReal.tsum_mono_subtype
theorem tsum_iUnion_le_tsum {ι : Type*} (f : α → ℝ≥0∞) (t : ι → Set α) :
∑' x : ⋃ i, t i, f x ≤ ∑' i, ∑' x : t i, f x :=
calc ∑' x : ⋃ i, t i, f x ≤ ∑' x : Σ i, t i, f x.2 :=
tsum_le_tsum_comp_of_surjective (sigmaToiUnion_surjective t) _
_ = ∑' i, ∑' x : t i, f x := ENNReal.tsum_sigma' _
theorem tsum_biUnion_le_tsum {ι : Type*} (f : α → ℝ≥0∞) (s : Set ι) (t : ι → Set α) :
∑' x : ⋃ i ∈ s , t i, f x ≤ ∑' i : s, ∑' x : t i, f x :=
calc ∑' x : ⋃ i ∈ s, t i, f x = ∑' x : ⋃ i : s, t i, f x := tsum_congr_set_coe _ <| by simp
_ ≤ ∑' i : s, ∑' x : t i, f x := tsum_iUnion_le_tsum _ _
theorem tsum_biUnion_le {ι : Type*} (f : α → ℝ≥0∞) (s : Finset ι) (t : ι → Set α) :
∑' x : ⋃ i ∈ s, t i, f x ≤ ∑ i ∈ s, ∑' x : t i, f x :=
(tsum_biUnion_le_tsum f s.toSet t).trans_eq (Finset.tsum_subtype s fun i => ∑' x : t i, f x)
#align ennreal.tsum_bUnion_le ENNReal.tsum_biUnion_le
theorem tsum_iUnion_le {ι : Type*} [Fintype ι] (f : α → ℝ≥0∞) (t : ι → Set α) :
∑' x : ⋃ i, t i, f x ≤ ∑ i, ∑' x : t i, f x := by
rw [← tsum_fintype]
exact tsum_iUnion_le_tsum f t
#align ennreal.tsum_Union_le ENNReal.tsum_iUnion_le
theorem tsum_union_le (f : α → ℝ≥0∞) (s t : Set α) :
∑' x : ↑(s ∪ t), f x ≤ ∑' x : s, f x + ∑' x : t, f x :=
calc ∑' x : ↑(s ∪ t), f x = ∑' x : ⋃ b, cond b s t, f x := tsum_congr_set_coe _ union_eq_iUnion
_ ≤ _ := by simpa using tsum_iUnion_le f (cond · s t)
#align ennreal.tsum_union_le ENNReal.tsum_union_le
theorem tsum_eq_add_tsum_ite {f : β → ℝ≥0∞} (b : β) :
∑' x, f x = f b + ∑' x, ite (x = b) 0 (f x) :=
tsum_eq_add_tsum_ite' b ENNReal.summable
#align ennreal.tsum_eq_add_tsum_ite ENNReal.tsum_eq_add_tsum_ite
theorem tsum_add_one_eq_top {f : ℕ → ℝ≥0∞} (hf : ∑' n, f n = ∞) (hf0 : f 0 ≠ ∞) :
∑' n, f (n + 1) = ∞ := by
rw [tsum_eq_zero_add' ENNReal.summable, add_eq_top] at hf
exact hf.resolve_left hf0
#align ennreal.tsum_add_one_eq_top ENNReal.tsum_add_one_eq_top
/-- A sum of extended nonnegative reals which is finite can have only finitely many terms
above any positive threshold. -/
theorem finite_const_le_of_tsum_ne_top {ι : Type*} {a : ι → ℝ≥0∞} (tsum_ne_top : ∑' i, a i ≠ ∞)
{ε : ℝ≥0∞} (ε_ne_zero : ε ≠ 0) : { i : ι | ε ≤ a i }.Finite := by
by_contra h
have := Infinite.to_subtype h
refine tsum_ne_top (top_unique ?_)
calc ∞ = ∑' _ : { i | ε ≤ a i }, ε := (tsum_const_eq_top_of_ne_zero ε_ne_zero).symm
_ ≤ ∑' i, a i := tsum_le_tsum_of_inj (↑) Subtype.val_injective (fun _ _ => zero_le _)
(fun i => i.2) ENNReal.summable ENNReal.summable
#align ennreal.finite_const_le_of_tsum_ne_top ENNReal.finite_const_le_of_tsum_ne_top
/-- Markov's inequality for `Finset.card` and `tsum` in `ℝ≥0∞`. -/
theorem finset_card_const_le_le_of_tsum_le {ι : Type*} {a : ι → ℝ≥0∞} {c : ℝ≥0∞} (c_ne_top : c ≠ ∞)
(tsum_le_c : ∑' i, a i ≤ c) {ε : ℝ≥0∞} (ε_ne_zero : ε ≠ 0) :
∃ hf : { i : ι | ε ≤ a i }.Finite, ↑hf.toFinset.card ≤ c / ε := by
have hf : { i : ι | ε ≤ a i }.Finite :=
finite_const_le_of_tsum_ne_top (ne_top_of_le_ne_top c_ne_top tsum_le_c) ε_ne_zero
refine ⟨hf, (ENNReal.le_div_iff_mul_le (.inl ε_ne_zero) (.inr c_ne_top)).2 ?_⟩
calc ↑hf.toFinset.card * ε = ∑ _i ∈ hf.toFinset, ε := by rw [Finset.sum_const, nsmul_eq_mul]
_ ≤ ∑ i ∈ hf.toFinset, a i := Finset.sum_le_sum fun i => hf.mem_toFinset.1
_ ≤ ∑' i, a i := ENNReal.sum_le_tsum _
_ ≤ c := tsum_le_c
#align ennreal.finset_card_const_le_le_of_tsum_le ENNReal.finset_card_const_le_le_of_tsum_le
theorem tsum_fiberwise (f : β → ℝ≥0∞) (g : β → γ) :
∑' x, ∑' b : g ⁻¹' {x}, f b = ∑' i, f i := by
apply HasSum.tsum_eq
let equiv := Equiv.sigmaFiberEquiv g
apply (equiv.hasSum_iff.mpr ENNReal.summable.hasSum).sigma
exact fun _ ↦ ENNReal.summable.hasSum_iff.mpr rfl
end tsum
theorem tendsto_toReal_iff {ι} {fi : Filter ι} {f : ι → ℝ≥0∞} (hf : ∀ i, f i ≠ ∞) {x : ℝ≥0∞}
(hx : x ≠ ∞) : Tendsto (fun n => (f n).toReal) fi (𝓝 x.toReal) ↔ Tendsto f fi (𝓝 x) := by
lift f to ι → ℝ≥0 using hf
lift x to ℝ≥0 using hx
simp [tendsto_coe]
#align ennreal.tendsto_to_real_iff ENNReal.tendsto_toReal_iff
theorem tsum_coe_ne_top_iff_summable_coe {f : α → ℝ≥0} :
(∑' a, (f a : ℝ≥0∞)) ≠ ∞ ↔ Summable fun a => (f a : ℝ) := by
rw [NNReal.summable_coe]
exact tsum_coe_ne_top_iff_summable
#align ennreal.tsum_coe_ne_top_iff_summable_coe ENNReal.tsum_coe_ne_top_iff_summable_coe
theorem tsum_coe_eq_top_iff_not_summable_coe {f : α → ℝ≥0} :
(∑' a, (f a : ℝ≥0∞)) = ∞ ↔ ¬Summable fun a => (f a : ℝ) :=
tsum_coe_ne_top_iff_summable_coe.not_right
#align ennreal.tsum_coe_eq_top_iff_not_summable_coe ENNReal.tsum_coe_eq_top_iff_not_summable_coe
theorem hasSum_toReal {f : α → ℝ≥0∞} (hsum : ∑' x, f x ≠ ∞) :
HasSum (fun x => (f x).toReal) (∑' x, (f x).toReal) := by
lift f to α → ℝ≥0 using ENNReal.ne_top_of_tsum_ne_top hsum
simp only [coe_toReal, ← NNReal.coe_tsum, NNReal.hasSum_coe]
exact (tsum_coe_ne_top_iff_summable.1 hsum).hasSum
#align ennreal.has_sum_to_real ENNReal.hasSum_toReal
theorem summable_toReal {f : α → ℝ≥0∞} (hsum : ∑' x, f x ≠ ∞) : Summable fun x => (f x).toReal :=
(hasSum_toReal hsum).summable
#align ennreal.summable_to_real ENNReal.summable_toReal
end ENNReal
namespace NNReal
theorem tsum_eq_toNNReal_tsum {f : β → ℝ≥0} : ∑' b, f b = (∑' b, (f b : ℝ≥0∞)).toNNReal := by
by_cases h : Summable f
· rw [← ENNReal.coe_tsum h, ENNReal.toNNReal_coe]
· have A := tsum_eq_zero_of_not_summable h
simp only [← ENNReal.tsum_coe_ne_top_iff_summable, Classical.not_not] at h
simp only [h, ENNReal.top_toNNReal, A]
#align nnreal.tsum_eq_to_nnreal_tsum NNReal.tsum_eq_toNNReal_tsum
/-- Comparison test of convergence of `ℝ≥0`-valued series. -/
theorem exists_le_hasSum_of_le {f g : β → ℝ≥0} {r : ℝ≥0} (hgf : ∀ b, g b ≤ f b) (hfr : HasSum f r) :
∃ p ≤ r, HasSum g p :=
have : (∑' b, (g b : ℝ≥0∞)) ≤ r := by
refine hasSum_le (fun b => ?_) ENNReal.summable.hasSum (ENNReal.hasSum_coe.2 hfr)
exact ENNReal.coe_le_coe.2 (hgf _)
let ⟨p, Eq, hpr⟩ := ENNReal.le_coe_iff.1 this
⟨p, hpr, ENNReal.hasSum_coe.1 <| Eq ▸ ENNReal.summable.hasSum⟩
#align nnreal.exists_le_has_sum_of_le NNReal.exists_le_hasSum_of_le
/-- Comparison test of convergence of `ℝ≥0`-valued series. -/
theorem summable_of_le {f g : β → ℝ≥0} (hgf : ∀ b, g b ≤ f b) : Summable f → Summable g
| ⟨_r, hfr⟩ =>
let ⟨_p, _, hp⟩ := exists_le_hasSum_of_le hgf hfr
hp.summable
#align nnreal.summable_of_le NNReal.summable_of_le
/-- Summable non-negative functions have countable support -/
theorem _root_.Summable.countable_support_nnreal (f : α → ℝ≥0) (h : Summable f) :
f.support.Countable := by
rw [← NNReal.summable_coe] at h
simpa [support] using h.countable_support
/-- A series of non-negative real numbers converges to `r` in the sense of `HasSum` if and only if
the sequence of partial sum converges to `r`. -/
theorem hasSum_iff_tendsto_nat {f : ℕ → ℝ≥0} {r : ℝ≥0} :
HasSum f r ↔ Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop (𝓝 r) := by
rw [← ENNReal.hasSum_coe, ENNReal.hasSum_iff_tendsto_nat]
simp only [← ENNReal.coe_finset_sum]
exact ENNReal.tendsto_coe
#align nnreal.has_sum_iff_tendsto_nat NNReal.hasSum_iff_tendsto_nat
theorem not_summable_iff_tendsto_nat_atTop {f : ℕ → ℝ≥0} :
¬Summable f ↔ Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by
constructor
· intro h
refine ((tendsto_of_monotone ?_).resolve_right h).comp ?_
exacts [Finset.sum_mono_set _, tendsto_finset_range]
· rintro hnat ⟨r, hr⟩
exact not_tendsto_nhds_of_tendsto_atTop hnat _ (hasSum_iff_tendsto_nat.1 hr)
#align nnreal.not_summable_iff_tendsto_nat_at_top NNReal.not_summable_iff_tendsto_nat_atTop
theorem summable_iff_not_tendsto_nat_atTop {f : ℕ → ℝ≥0} :
Summable f ↔ ¬Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by
rw [← not_iff_not, Classical.not_not, not_summable_iff_tendsto_nat_atTop]
#align nnreal.summable_iff_not_tendsto_nat_at_top NNReal.summable_iff_not_tendsto_nat_atTop
theorem summable_of_sum_range_le {f : ℕ → ℝ≥0} {c : ℝ≥0}
(h : ∀ n, ∑ i ∈ Finset.range n, f i ≤ c) : Summable f := by
refine summable_iff_not_tendsto_nat_atTop.2 fun H => ?_
rcases exists_lt_of_tendsto_atTop H 0 c with ⟨n, -, hn⟩
exact lt_irrefl _ (hn.trans_le (h n))
#align nnreal.summable_of_sum_range_le NNReal.summable_of_sum_range_le
theorem tsum_le_of_sum_range_le {f : ℕ → ℝ≥0} {c : ℝ≥0}
(h : ∀ n, ∑ i ∈ Finset.range n, f i ≤ c) : ∑' n, f n ≤ c :=
_root_.tsum_le_of_sum_range_le (summable_of_sum_range_le h) h
#align nnreal.tsum_le_of_sum_range_le NNReal.tsum_le_of_sum_range_le
theorem tsum_comp_le_tsum_of_inj {β : Type*} {f : α → ℝ≥0} (hf : Summable f) {i : β → α}
(hi : Function.Injective i) : (∑' x, f (i x)) ≤ ∑' x, f x :=
tsum_le_tsum_of_inj i hi (fun _ _ => zero_le _) (fun _ => le_rfl) (summable_comp_injective hf hi)
hf
#align nnreal.tsum_comp_le_tsum_of_inj NNReal.tsum_comp_le_tsum_of_inj
theorem summable_sigma {β : α → Type*} {f : (Σ x, β x) → ℝ≥0} :
Summable f ↔ (∀ x, Summable fun y => f ⟨x, y⟩) ∧ Summable fun x => ∑' y, f ⟨x, y⟩ := by
constructor
· simp only [← NNReal.summable_coe, NNReal.coe_tsum]
exact fun h => ⟨h.sigma_factor, h.sigma⟩
· rintro ⟨h₁, h₂⟩
simpa only [← ENNReal.tsum_coe_ne_top_iff_summable, ENNReal.tsum_sigma',
ENNReal.coe_tsum (h₁ _)] using h₂
#align nnreal.summable_sigma NNReal.summable_sigma
theorem indicator_summable {f : α → ℝ≥0} (hf : Summable f) (s : Set α) :
Summable (s.indicator f) := by
refine NNReal.summable_of_le (fun a => le_trans (le_of_eq (s.indicator_apply f a)) ?_) hf
split_ifs
· exact le_refl (f a)
· exact zero_le_coe
#align nnreal.indicator_summable NNReal.indicator_summable
theorem tsum_indicator_ne_zero {f : α → ℝ≥0} (hf : Summable f) {s : Set α} (h : ∃ a ∈ s, f a ≠ 0) :
(∑' x, (s.indicator f) x) ≠ 0 := fun h' =>
let ⟨a, ha, hap⟩ := h
hap ((Set.indicator_apply_eq_self.mpr (absurd ha)).symm.trans
((tsum_eq_zero_iff (indicator_summable hf s)).1 h' a))
#align nnreal.tsum_indicator_ne_zero NNReal.tsum_indicator_ne_zero
open Finset
/-- For `f : ℕ → ℝ≥0`, then `∑' k, f (k + i)` tends to zero. This does not require a summability
assumption on `f`, as otherwise all sums are zero. -/
theorem tendsto_sum_nat_add (f : ℕ → ℝ≥0) : Tendsto (fun i => ∑' k, f (k + i)) atTop (𝓝 0) := by
rw [← tendsto_coe]
convert _root_.tendsto_sum_nat_add fun i => (f i : ℝ)
norm_cast
#align nnreal.tendsto_sum_nat_add NNReal.tendsto_sum_nat_add
nonrec theorem hasSum_lt {f g : α → ℝ≥0} {sf sg : ℝ≥0} {i : α} (h : ∀ a : α, f a ≤ g a)
(hi : f i < g i) (hf : HasSum f sf) (hg : HasSum g sg) : sf < sg := by
have A : ∀ a : α, (f a : ℝ) ≤ g a := fun a => NNReal.coe_le_coe.2 (h a)
have : (sf : ℝ) < sg := hasSum_lt A (NNReal.coe_lt_coe.2 hi) (hasSum_coe.2 hf) (hasSum_coe.2 hg)
exact NNReal.coe_lt_coe.1 this
#align nnreal.has_sum_lt NNReal.hasSum_lt
@[mono]
theorem hasSum_strict_mono {f g : α → ℝ≥0} {sf sg : ℝ≥0} (hf : HasSum f sf) (hg : HasSum g sg)
(h : f < g) : sf < sg :=
let ⟨hle, _i, hi⟩ := Pi.lt_def.mp h
hasSum_lt hle hi hf hg
#align nnreal.has_sum_strict_mono NNReal.hasSum_strict_mono
theorem tsum_lt_tsum {f g : α → ℝ≥0} {i : α} (h : ∀ a : α, f a ≤ g a) (hi : f i < g i)
(hg : Summable g) : ∑' n, f n < ∑' n, g n :=
hasSum_lt h hi (summable_of_le h hg).hasSum hg.hasSum
#align nnreal.tsum_lt_tsum NNReal.tsum_lt_tsum
@[mono]
theorem tsum_strict_mono {f g : α → ℝ≥0} (hg : Summable g) (h : f < g) : ∑' n, f n < ∑' n, g n :=
let ⟨hle, _i, hi⟩ := Pi.lt_def.mp h
tsum_lt_tsum hle hi hg
#align nnreal.tsum_strict_mono NNReal.tsum_strict_mono
theorem tsum_pos {g : α → ℝ≥0} (hg : Summable g) (i : α) (hi : 0 < g i) : 0 < ∑' b, g b := by
rw [← tsum_zero]
exact tsum_lt_tsum (fun a => zero_le _) hi hg
#align nnreal.tsum_pos NNReal.tsum_pos
theorem tsum_eq_add_tsum_ite {f : α → ℝ≥0} (hf : Summable f) (i : α) :
∑' x, f x = f i + ∑' x, ite (x = i) 0 (f x) := by
refine tsum_eq_add_tsum_ite' i (NNReal.summable_of_le (fun i' => ?_) hf)
rw [Function.update_apply]
split_ifs <;> simp only [zero_le', le_rfl]
#align nnreal.tsum_eq_add_tsum_ite NNReal.tsum_eq_add_tsum_ite
end NNReal
namespace ENNReal
theorem tsum_toNNReal_eq {f : α → ℝ≥0∞} (hf : ∀ a, f a ≠ ∞) :
(∑' a, f a).toNNReal = ∑' a, (f a).toNNReal :=
(congr_arg ENNReal.toNNReal (tsum_congr fun x => (coe_toNNReal (hf x)).symm)).trans
NNReal.tsum_eq_toNNReal_tsum.symm
#align ennreal.tsum_to_nnreal_eq ENNReal.tsum_toNNReal_eq
theorem tsum_toReal_eq {f : α → ℝ≥0∞} (hf : ∀ a, f a ≠ ∞) :
(∑' a, f a).toReal = ∑' a, (f a).toReal := by
simp only [ENNReal.toReal, tsum_toNNReal_eq hf, NNReal.coe_tsum]
#align ennreal.tsum_to_real_eq ENNReal.tsum_toReal_eq
theorem tendsto_sum_nat_add (f : ℕ → ℝ≥0∞) (hf : ∑' i, f i ≠ ∞) :
Tendsto (fun i => ∑' k, f (k + i)) atTop (𝓝 0) := by
lift f to ℕ → ℝ≥0 using ENNReal.ne_top_of_tsum_ne_top hf
replace hf : Summable f := tsum_coe_ne_top_iff_summable.1 hf
simp only [← ENNReal.coe_tsum, NNReal.summable_nat_add _ hf, ← ENNReal.coe_zero]
exact mod_cast NNReal.tendsto_sum_nat_add f
#align ennreal.tendsto_sum_nat_add ENNReal.tendsto_sum_nat_add
theorem tsum_le_of_sum_range_le {f : ℕ → ℝ≥0∞} {c : ℝ≥0∞}
(h : ∀ n, ∑ i ∈ Finset.range n, f i ≤ c) : ∑' n, f n ≤ c :=
_root_.tsum_le_of_sum_range_le ENNReal.summable h
#align ennreal.tsum_le_of_sum_range_le ENNReal.tsum_le_of_sum_range_le
theorem hasSum_lt {f g : α → ℝ≥0∞} {sf sg : ℝ≥0∞} {i : α} (h : ∀ a : α, f a ≤ g a) (hi : f i < g i)
(hsf : sf ≠ ∞) (hf : HasSum f sf) (hg : HasSum g sg) : sf < sg := by
by_cases hsg : sg = ∞
· exact hsg.symm ▸ lt_of_le_of_ne le_top hsf
· have hg' : ∀ x, g x ≠ ∞ := ENNReal.ne_top_of_tsum_ne_top (hg.tsum_eq.symm ▸ hsg)
lift f to α → ℝ≥0 using fun x =>
ne_of_lt (lt_of_le_of_lt (h x) <| lt_of_le_of_ne le_top (hg' x))
lift g to α → ℝ≥0 using hg'
lift sf to ℝ≥0 using hsf
lift sg to ℝ≥0 using hsg
simp only [coe_le_coe, coe_lt_coe] at h hi ⊢
exact NNReal.hasSum_lt h hi (ENNReal.hasSum_coe.1 hf) (ENNReal.hasSum_coe.1 hg)
#align ennreal.has_sum_lt ENNReal.hasSum_lt
theorem tsum_lt_tsum {f g : α → ℝ≥0∞} {i : α} (hfi : tsum f ≠ ∞) (h : ∀ a : α, f a ≤ g a)
(hi : f i < g i) : ∑' x, f x < ∑' x, g x :=
hasSum_lt h hi hfi ENNReal.summable.hasSum ENNReal.summable.hasSum
#align ennreal.tsum_lt_tsum ENNReal.tsum_lt_tsum
end ENNReal
theorem tsum_comp_le_tsum_of_inj {β : Type*} {f : α → ℝ} (hf : Summable f) (hn : ∀ a, 0 ≤ f a)
{i : β → α} (hi : Function.Injective i) : tsum (f ∘ i) ≤ tsum f := by
lift f to α → ℝ≥0 using hn
rw [NNReal.summable_coe] at hf
simpa only [(· ∘ ·), ← NNReal.coe_tsum] using NNReal.tsum_comp_le_tsum_of_inj hf hi
#align tsum_comp_le_tsum_of_inj tsum_comp_le_tsum_of_inj
/-- Comparison test of convergence of series of non-negative real numbers. -/
theorem Summable.of_nonneg_of_le {f g : β → ℝ} (hg : ∀ b, 0 ≤ g b) (hgf : ∀ b, g b ≤ f b)
(hf : Summable f) : Summable g := by
lift f to β → ℝ≥0 using fun b => (hg b).trans (hgf b)
lift g to β → ℝ≥0 using hg
rw [NNReal.summable_coe] at hf ⊢
exact NNReal.summable_of_le (fun b => NNReal.coe_le_coe.1 (hgf b)) hf
#align summable_of_nonneg_of_le Summable.of_nonneg_of_le
theorem Summable.toNNReal {f : α → ℝ} (hf : Summable f) : Summable fun n => (f n).toNNReal := by
apply NNReal.summable_coe.1
refine .of_nonneg_of_le (fun n => NNReal.coe_nonneg _) (fun n => ?_) hf.abs
simp only [le_abs_self, Real.coe_toNNReal', max_le_iff, abs_nonneg, and_self_iff]
#align summable.to_nnreal Summable.toNNReal
/-- Finitely summable non-negative functions have countable support -/
theorem _root_.Summable.countable_support_ennreal {f : α → ℝ≥0∞} (h : ∑' (i : α), f i ≠ ∞) :
f.support.Countable := by
lift f to α → ℝ≥0 using ENNReal.ne_top_of_tsum_ne_top h
simpa [support] using (ENNReal.tsum_coe_ne_top_iff_summable.1 h).countable_support_nnreal
/-- A series of non-negative real numbers converges to `r` in the sense of `HasSum` if and only if
the sequence of partial sum converges to `r`. -/
theorem hasSum_iff_tendsto_nat_of_nonneg {f : ℕ → ℝ} (hf : ∀ i, 0 ≤ f i) (r : ℝ) :
HasSum f r ↔ Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop (𝓝 r) := by
lift f to ℕ → ℝ≥0 using hf
simp only [HasSum, ← NNReal.coe_sum, NNReal.tendsto_coe']
exact exists_congr fun hr => NNReal.hasSum_iff_tendsto_nat
#align has_sum_iff_tendsto_nat_of_nonneg hasSum_iff_tendsto_nat_of_nonneg
theorem ENNReal.ofReal_tsum_of_nonneg {f : α → ℝ} (hf_nonneg : ∀ n, 0 ≤ f n) (hf : Summable f) :
ENNReal.ofReal (∑' n, f n) = ∑' n, ENNReal.ofReal (f n) := by
simp_rw [ENNReal.ofReal, ENNReal.tsum_coe_eq (NNReal.hasSum_real_toNNReal_of_nonneg hf_nonneg hf)]
#align ennreal.of_real_tsum_of_nonneg ENNReal.ofReal_tsum_of_nonneg
section
variable [EMetricSpace β]
open ENNReal Filter EMetric
/-- In an emetric ball, the distance between points is everywhere finite -/
theorem edist_ne_top_of_mem_ball {a : β} {r : ℝ≥0∞} (x y : ball a r) : edist x.1 y.1 ≠ ∞ :=
ne_of_lt <|
calc
edist x y ≤ edist a x + edist a y := edist_triangle_left x.1 y.1 a
_ < r + r := by rw [edist_comm a x, edist_comm a y]; exact add_lt_add x.2 y.2
_ ≤ ∞ := le_top
#align edist_ne_top_of_mem_ball edist_ne_top_of_mem_ball
/-- Each ball in an extended metric space gives us a metric space, as the edist
is everywhere finite. -/
def metricSpaceEMetricBall (a : β) (r : ℝ≥0∞) : MetricSpace (ball a r) :=
EMetricSpace.toMetricSpace edist_ne_top_of_mem_ball
#align metric_space_emetric_ball metricSpaceEMetricBall
theorem nhds_eq_nhds_emetric_ball (a x : β) (r : ℝ≥0∞) (h : x ∈ ball a r) :
𝓝 x = map ((↑) : ball a r → β) (𝓝 ⟨x, h⟩) :=
(map_nhds_subtype_coe_eq_nhds _ <| IsOpen.mem_nhds EMetric.isOpen_ball h).symm
#align nhds_eq_nhds_emetric_ball nhds_eq_nhds_emetric_ball
end
section
variable [PseudoEMetricSpace α]
open EMetric
theorem tendsto_iff_edist_tendsto_0 {l : Filter β} {f : β → α} {y : α} :
Tendsto f l (𝓝 y) ↔ Tendsto (fun x => edist (f x) y) l (𝓝 0) := by
simp only [EMetric.nhds_basis_eball.tendsto_right_iff, EMetric.mem_ball,
@tendsto_order ℝ≥0∞ β _ _, forall_prop_of_false ENNReal.not_lt_zero, forall_const, true_and_iff]
#align tendsto_iff_edist_tendsto_0 tendsto_iff_edist_tendsto_0
/-- Yet another metric characterization of Cauchy sequences on integers. This one is often the
most efficient. -/
theorem EMetric.cauchySeq_iff_le_tendsto_0 [Nonempty β] [SemilatticeSup β] {s : β → α} :
CauchySeq s ↔ ∃ b : β → ℝ≥0∞, (∀ n m N : β, N ≤ n → N ≤ m → edist (s n) (s m) ≤ b N) ∧
Tendsto b atTop (𝓝 0) := EMetric.cauchySeq_iff.trans <| by
constructor
· intro hs
/- `s` is Cauchy sequence. Let `b n` be the diameter of the set `s '' Set.Ici n`. -/
refine ⟨fun N => EMetric.diam (s '' Ici N), fun n m N hn hm => ?_, ?_⟩
-- Prove that it bounds the distances of points in the Cauchy sequence
· exact EMetric.edist_le_diam_of_mem (mem_image_of_mem _ hn) (mem_image_of_mem _ hm)
-- Prove that it tends to `0`, by using the Cauchy property of `s`
· refine ENNReal.tendsto_nhds_zero.2 fun ε ε0 => ?_
rcases hs ε ε0 with ⟨N, hN⟩
refine (eventually_ge_atTop N).mono fun n hn => EMetric.diam_le ?_
rintro _ ⟨k, hk, rfl⟩ _ ⟨l, hl, rfl⟩
exact (hN _ (hn.trans hk) _ (hn.trans hl)).le
· rintro ⟨b, ⟨b_bound, b_lim⟩⟩ ε εpos
have : ∀ᶠ n in atTop, b n < ε := b_lim.eventually (gt_mem_nhds εpos)
rcases this.exists with ⟨N, hN⟩
refine ⟨N, fun m hm n hn => ?_⟩
calc edist (s m) (s n) ≤ b N := b_bound m n N hm hn
_ < ε := hN
#align emetric.cauchy_seq_iff_le_tendsto_0 EMetric.cauchySeq_iff_le_tendsto_0
theorem continuous_of_le_add_edist {f : α → ℝ≥0∞} (C : ℝ≥0∞) (hC : C ≠ ∞)
(h : ∀ x y, f x ≤ f y + C * edist x y) : Continuous f := by
refine continuous_iff_continuousAt.2 fun x => ENNReal.tendsto_nhds_of_Icc fun ε ε0 => ?_
rcases ENNReal.exists_nnreal_pos_mul_lt hC ε0.ne' with ⟨δ, δ0, hδ⟩
rw [mul_comm] at hδ
filter_upwards [EMetric.closedBall_mem_nhds x (ENNReal.coe_pos.2 δ0)] with y hy
refine ⟨tsub_le_iff_right.2 <| (h x y).trans ?_, (h y x).trans ?_⟩ <;>
refine add_le_add_left (le_trans (mul_le_mul_left' ?_ _) hδ.le) _
exacts [EMetric.mem_closedBall'.1 hy, EMetric.mem_closedBall.1 hy]
#align continuous_of_le_add_edist continuous_of_le_add_edist
theorem continuous_edist : Continuous fun p : α × α => edist p.1 p.2 := by
apply continuous_of_le_add_edist 2 (by decide)
rintro ⟨x, y⟩ ⟨x', y'⟩
calc
edist x y ≤ edist x x' + edist x' y' + edist y' y := edist_triangle4 _ _ _ _
_ = edist x' y' + (edist x x' + edist y y') := by simp only [edist_comm]; ac_rfl
_ ≤ edist x' y' + (edist (x, y) (x', y') + edist (x, y) (x', y')) :=
(add_le_add_left (add_le_add (le_max_left _ _) (le_max_right _ _)) _)
_ = edist x' y' + 2 * edist (x, y) (x', y') := by rw [← mul_two, mul_comm]
#align continuous_edist continuous_edist
@[continuity, fun_prop]
theorem Continuous.edist [TopologicalSpace β] {f g : β → α} (hf : Continuous f)
(hg : Continuous g) : Continuous fun b => edist (f b) (g b) :=
continuous_edist.comp (hf.prod_mk hg : _)
#align continuous.edist Continuous.edist
theorem Filter.Tendsto.edist {f g : β → α} {x : Filter β} {a b : α} (hf : Tendsto f x (𝓝 a))
(hg : Tendsto g x (𝓝 b)) : Tendsto (fun x => edist (f x) (g x)) x (𝓝 (edist a b)) :=
(continuous_edist.tendsto (a, b)).comp (hf.prod_mk_nhds hg)
#align filter.tendsto.edist Filter.Tendsto.edist
/-- If the extended distance between consecutive points of a sequence is estimated
by a summable series of `NNReal`s, then the original sequence is a Cauchy sequence. -/
theorem cauchySeq_of_edist_le_of_summable [PseudoEMetricSpace α] {f : ℕ → α} (d : ℕ → ℝ≥0)
(hf : ∀ n, edist (f n) (f n.succ) ≤ d n) (hd : Summable d) : CauchySeq f := by
refine EMetric.cauchySeq_iff_NNReal.2 fun ε εpos ↦ ?_
-- Actually we need partial sums of `d` to be a Cauchy sequence.
replace hd : CauchySeq fun n : ℕ ↦ ∑ x ∈ Finset.range n, d x :=
let ⟨_, H⟩ := hd
H.tendsto_sum_nat.cauchySeq
-- Now we take the same `N` as in one of the definitions of a Cauchy sequence.
refine (Metric.cauchySeq_iff'.1 hd ε (NNReal.coe_pos.2 εpos)).imp fun N hN n hn ↦ ?_
specialize hN n hn
-- We simplify the known inequality.
rw [dist_nndist, NNReal.nndist_eq, ← Finset.sum_range_add_sum_Ico _ hn, add_tsub_cancel_left,
NNReal.coe_lt_coe, max_lt_iff] at hN
rw [edist_comm]
-- Then use `hf` to simplify the goal to the same form.
refine lt_of_le_of_lt (edist_le_Ico_sum_of_edist_le hn fun _ _ ↦ hf _) ?_
exact mod_cast hN.1
#align cauchy_seq_of_edist_le_of_summable cauchySeq_of_edist_le_of_summable
theorem cauchySeq_of_edist_le_of_tsum_ne_top {f : ℕ → α} (d : ℕ → ℝ≥0∞)
(hf : ∀ n, edist (f n) (f n.succ) ≤ d n) (hd : tsum d ≠ ∞) : CauchySeq f := by
lift d to ℕ → NNReal using fun i => ENNReal.ne_top_of_tsum_ne_top hd i
rw [ENNReal.tsum_coe_ne_top_iff_summable] at hd
exact cauchySeq_of_edist_le_of_summable d hf hd
#align cauchy_seq_of_edist_le_of_tsum_ne_top cauchySeq_of_edist_le_of_tsum_ne_top
theorem EMetric.isClosed_ball {a : α} {r : ℝ≥0∞} : IsClosed (closedBall a r) :=
isClosed_le (continuous_id.edist continuous_const) continuous_const
#align emetric.is_closed_ball EMetric.isClosed_ball
@[simp]
theorem EMetric.diam_closure (s : Set α) : diam (closure s) = diam s := by
refine le_antisymm (diam_le fun x hx y hy => ?_) (diam_mono subset_closure)
have : edist x y ∈ closure (Iic (diam s)) :=
map_mem_closure₂ continuous_edist hx hy fun x hx y hy => edist_le_diam_of_mem hx hy
rwa [closure_Iic] at this
#align emetric.diam_closure EMetric.diam_closure
@[simp]
theorem Metric.diam_closure {α : Type*} [PseudoMetricSpace α] (s : Set α) :
Metric.diam (closure s) = diam s := by simp only [Metric.diam, EMetric.diam_closure]
#align metric.diam_closure Metric.diam_closure
theorem isClosed_setOf_lipschitzOnWith {α β} [PseudoEMetricSpace α] [PseudoEMetricSpace β] (K : ℝ≥0)
(s : Set α) : IsClosed { f : α → β | LipschitzOnWith K f s } := by
simp only [LipschitzOnWith, setOf_forall]
refine isClosed_biInter fun x _ => isClosed_biInter fun y _ => isClosed_le ?_ ?_
exacts [.edist (continuous_apply x) (continuous_apply y), continuous_const]
#align is_closed_set_of_lipschitz_on_with isClosed_setOf_lipschitzOnWith
theorem isClosed_setOf_lipschitzWith {α β} [PseudoEMetricSpace α] [PseudoEMetricSpace β] (K : ℝ≥0) :
IsClosed { f : α → β | LipschitzWith K f } := by
simp only [← lipschitzOn_univ, isClosed_setOf_lipschitzOnWith]
#align is_closed_set_of_lipschitz_with isClosed_setOf_lipschitzWith
namespace Real
/-- For a bounded set `s : Set ℝ`, its `EMetric.diam` is equal to `sSup s - sInf s` reinterpreted as
`ℝ≥0∞`. -/
| Mathlib/Topology/Instances/ENNReal.lean | 1,523 | 1,533 | theorem ediam_eq {s : Set ℝ} (h : Bornology.IsBounded s) :
EMetric.diam s = ENNReal.ofReal (sSup s - sInf s) := by |
rcases eq_empty_or_nonempty s with (rfl | hne)
· simp
refine le_antisymm (Metric.ediam_le_of_forall_dist_le fun x hx y hy => ?_) ?_
· exact Real.dist_le_of_mem_Icc (h.subset_Icc_sInf_sSup hx) (h.subset_Icc_sInf_sSup hy)
· apply ENNReal.ofReal_le_of_le_toReal
rw [← Metric.diam, ← Metric.diam_closure]
calc sSup s - sInf s ≤ dist (sSup s) (sInf s) := le_abs_self _
_ ≤ Metric.diam (closure s) := dist_le_diam_of_mem h.closure (csSup_mem_closure hne h.bddAbove)
(csInf_mem_closure hne h.bddBelow)
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Scott Morrison
-/
import Mathlib.Algebra.BigOperators.Finsupp
import Mathlib.Algebra.Module.Basic
import Mathlib.Algebra.Regular.SMul
import Mathlib.Data.Finset.Preimage
import Mathlib.Data.Rat.BigOperators
import Mathlib.GroupTheory.GroupAction.Hom
import Mathlib.Data.Set.Subsingleton
#align_import data.finsupp.basic from "leanprover-community/mathlib"@"f69db8cecc668e2d5894d7e9bfc491da60db3b9f"
/-!
# Miscellaneous definitions, lemmas, and constructions using finsupp
## Main declarations
* `Finsupp.graph`: the finset of input and output pairs with non-zero outputs.
* `Finsupp.mapRange.equiv`: `Finsupp.mapRange` as an equiv.
* `Finsupp.mapDomain`: maps the domain of a `Finsupp` by a function and by summing.
* `Finsupp.comapDomain`: postcomposition of a `Finsupp` with a function injective on the preimage
of its support.
* `Finsupp.some`: restrict a finitely supported function on `Option α` to a finitely supported
function on `α`.
* `Finsupp.filter`: `filter p f` is the finitely supported function that is `f a` if `p a` is true
and 0 otherwise.
* `Finsupp.frange`: the image of a finitely supported function on its support.
* `Finsupp.subtype_domain`: the restriction of a finitely supported function `f` to a subtype.
## Implementation notes
This file is a `noncomputable theory` and uses classical logic throughout.
## TODO
* This file is currently ~1600 lines long and is quite a miscellany of definitions and lemmas,
so it should be divided into smaller pieces.
* Expand the list of definitions and important lemmas to the module docstring.
-/
noncomputable section
open Finset Function
variable {α β γ ι M M' N P G H R S : Type*}
namespace Finsupp
/-! ### Declarations about `graph` -/
section Graph
variable [Zero M]
/-- The graph of a finitely supported function over its support, i.e. the finset of input and output
pairs with non-zero outputs. -/
def graph (f : α →₀ M) : Finset (α × M) :=
f.support.map ⟨fun a => Prod.mk a (f a), fun _ _ h => (Prod.mk.inj h).1⟩
#align finsupp.graph Finsupp.graph
theorem mk_mem_graph_iff {a : α} {m : M} {f : α →₀ M} : (a, m) ∈ f.graph ↔ f a = m ∧ m ≠ 0 := by
simp_rw [graph, mem_map, mem_support_iff]
constructor
· rintro ⟨b, ha, rfl, -⟩
exact ⟨rfl, ha⟩
· rintro ⟨rfl, ha⟩
exact ⟨a, ha, rfl⟩
#align finsupp.mk_mem_graph_iff Finsupp.mk_mem_graph_iff
@[simp]
theorem mem_graph_iff {c : α × M} {f : α →₀ M} : c ∈ f.graph ↔ f c.1 = c.2 ∧ c.2 ≠ 0 := by
cases c
exact mk_mem_graph_iff
#align finsupp.mem_graph_iff Finsupp.mem_graph_iff
theorem mk_mem_graph (f : α →₀ M) {a : α} (ha : a ∈ f.support) : (a, f a) ∈ f.graph :=
mk_mem_graph_iff.2 ⟨rfl, mem_support_iff.1 ha⟩
#align finsupp.mk_mem_graph Finsupp.mk_mem_graph
theorem apply_eq_of_mem_graph {a : α} {m : M} {f : α →₀ M} (h : (a, m) ∈ f.graph) : f a = m :=
(mem_graph_iff.1 h).1
#align finsupp.apply_eq_of_mem_graph Finsupp.apply_eq_of_mem_graph
@[simp 1100] -- Porting note: change priority to appease `simpNF`
theorem not_mem_graph_snd_zero (a : α) (f : α →₀ M) : (a, (0 : M)) ∉ f.graph := fun h =>
(mem_graph_iff.1 h).2.irrefl
#align finsupp.not_mem_graph_snd_zero Finsupp.not_mem_graph_snd_zero
@[simp]
theorem image_fst_graph [DecidableEq α] (f : α →₀ M) : f.graph.image Prod.fst = f.support := by
classical simp only [graph, map_eq_image, image_image, Embedding.coeFn_mk, (· ∘ ·), image_id']
#align finsupp.image_fst_graph Finsupp.image_fst_graph
theorem graph_injective (α M) [Zero M] : Injective (@graph α M _) := by
intro f g h
classical
have hsup : f.support = g.support := by rw [← image_fst_graph, h, image_fst_graph]
refine ext_iff'.2 ⟨hsup, fun x hx => apply_eq_of_mem_graph <| h.symm ▸ ?_⟩
exact mk_mem_graph _ (hsup ▸ hx)
#align finsupp.graph_injective Finsupp.graph_injective
@[simp]
theorem graph_inj {f g : α →₀ M} : f.graph = g.graph ↔ f = g :=
(graph_injective α M).eq_iff
#align finsupp.graph_inj Finsupp.graph_inj
@[simp]
theorem graph_zero : graph (0 : α →₀ M) = ∅ := by simp [graph]
#align finsupp.graph_zero Finsupp.graph_zero
@[simp]
theorem graph_eq_empty {f : α →₀ M} : f.graph = ∅ ↔ f = 0 :=
(graph_injective α M).eq_iff' graph_zero
#align finsupp.graph_eq_empty Finsupp.graph_eq_empty
end Graph
end Finsupp
/-! ### Declarations about `mapRange` -/
section MapRange
namespace Finsupp
section Equiv
variable [Zero M] [Zero N] [Zero P]
/-- `Finsupp.mapRange` as an equiv. -/
@[simps apply]
def mapRange.equiv (f : M ≃ N) (hf : f 0 = 0) (hf' : f.symm 0 = 0) : (α →₀ M) ≃ (α →₀ N) where
toFun := (mapRange f hf : (α →₀ M) → α →₀ N)
invFun := (mapRange f.symm hf' : (α →₀ N) → α →₀ M)
left_inv x := by
rw [← mapRange_comp _ _ _ _] <;> simp_rw [Equiv.symm_comp_self]
· exact mapRange_id _
· rfl
right_inv x := by
rw [← mapRange_comp _ _ _ _] <;> simp_rw [Equiv.self_comp_symm]
· exact mapRange_id _
· rfl
#align finsupp.map_range.equiv Finsupp.mapRange.equiv
@[simp]
theorem mapRange.equiv_refl : mapRange.equiv (Equiv.refl M) rfl rfl = Equiv.refl (α →₀ M) :=
Equiv.ext mapRange_id
#align finsupp.map_range.equiv_refl Finsupp.mapRange.equiv_refl
theorem mapRange.equiv_trans (f : M ≃ N) (hf : f 0 = 0) (hf') (f₂ : N ≃ P) (hf₂ : f₂ 0 = 0) (hf₂') :
(mapRange.equiv (f.trans f₂) (by rw [Equiv.trans_apply, hf, hf₂])
(by rw [Equiv.symm_trans_apply, hf₂', hf']) :
(α →₀ _) ≃ _) =
(mapRange.equiv f hf hf').trans (mapRange.equiv f₂ hf₂ hf₂') :=
Equiv.ext <| mapRange_comp f₂ hf₂ f hf ((congrArg f₂ hf).trans hf₂)
#align finsupp.map_range.equiv_trans Finsupp.mapRange.equiv_trans
@[simp]
theorem mapRange.equiv_symm (f : M ≃ N) (hf hf') :
((mapRange.equiv f hf hf').symm : (α →₀ _) ≃ _) = mapRange.equiv f.symm hf' hf :=
Equiv.ext fun _ => rfl
#align finsupp.map_range.equiv_symm Finsupp.mapRange.equiv_symm
end Equiv
section ZeroHom
variable [Zero M] [Zero N] [Zero P]
/-- Composition with a fixed zero-preserving homomorphism is itself a zero-preserving homomorphism
on functions. -/
@[simps]
def mapRange.zeroHom (f : ZeroHom M N) : ZeroHom (α →₀ M) (α →₀ N) where
toFun := (mapRange f f.map_zero : (α →₀ M) → α →₀ N)
map_zero' := mapRange_zero
#align finsupp.map_range.zero_hom Finsupp.mapRange.zeroHom
@[simp]
theorem mapRange.zeroHom_id : mapRange.zeroHom (ZeroHom.id M) = ZeroHom.id (α →₀ M) :=
ZeroHom.ext mapRange_id
#align finsupp.map_range.zero_hom_id Finsupp.mapRange.zeroHom_id
theorem mapRange.zeroHom_comp (f : ZeroHom N P) (f₂ : ZeroHom M N) :
(mapRange.zeroHom (f.comp f₂) : ZeroHom (α →₀ _) _) =
(mapRange.zeroHom f).comp (mapRange.zeroHom f₂) :=
ZeroHom.ext <| mapRange_comp f (map_zero f) f₂ (map_zero f₂) (by simp only [comp_apply, map_zero])
#align finsupp.map_range.zero_hom_comp Finsupp.mapRange.zeroHom_comp
end ZeroHom
section AddMonoidHom
variable [AddCommMonoid M] [AddCommMonoid N] [AddCommMonoid P]
variable {F : Type*} [FunLike F M N] [AddMonoidHomClass F M N]
/-- Composition with a fixed additive homomorphism is itself an additive homomorphism on functions.
-/
@[simps]
def mapRange.addMonoidHom (f : M →+ N) : (α →₀ M) →+ α →₀ N where
toFun := (mapRange f f.map_zero : (α →₀ M) → α →₀ N)
map_zero' := mapRange_zero
map_add' a b := by dsimp only; exact mapRange_add f.map_add _ _; -- Porting note: `dsimp` needed
#align finsupp.map_range.add_monoid_hom Finsupp.mapRange.addMonoidHom
@[simp]
theorem mapRange.addMonoidHom_id :
mapRange.addMonoidHom (AddMonoidHom.id M) = AddMonoidHom.id (α →₀ M) :=
AddMonoidHom.ext mapRange_id
#align finsupp.map_range.add_monoid_hom_id Finsupp.mapRange.addMonoidHom_id
theorem mapRange.addMonoidHom_comp (f : N →+ P) (f₂ : M →+ N) :
(mapRange.addMonoidHom (f.comp f₂) : (α →₀ _) →+ _) =
(mapRange.addMonoidHom f).comp (mapRange.addMonoidHom f₂) :=
AddMonoidHom.ext <|
mapRange_comp f (map_zero f) f₂ (map_zero f₂) (by simp only [comp_apply, map_zero])
#align finsupp.map_range.add_monoid_hom_comp Finsupp.mapRange.addMonoidHom_comp
@[simp]
theorem mapRange.addMonoidHom_toZeroHom (f : M →+ N) :
(mapRange.addMonoidHom f).toZeroHom = (mapRange.zeroHom f.toZeroHom : ZeroHom (α →₀ _) _) :=
ZeroHom.ext fun _ => rfl
#align finsupp.map_range.add_monoid_hom_to_zero_hom Finsupp.mapRange.addMonoidHom_toZeroHom
theorem mapRange_multiset_sum (f : F) (m : Multiset (α →₀ M)) :
mapRange f (map_zero f) m.sum = (m.map fun x => mapRange f (map_zero f) x).sum :=
(mapRange.addMonoidHom (f : M →+ N) : (α →₀ _) →+ _).map_multiset_sum _
#align finsupp.map_range_multiset_sum Finsupp.mapRange_multiset_sum
theorem mapRange_finset_sum (f : F) (s : Finset ι) (g : ι → α →₀ M) :
mapRange f (map_zero f) (∑ x ∈ s, g x) = ∑ x ∈ s, mapRange f (map_zero f) (g x) :=
map_sum (mapRange.addMonoidHom (f : M →+ N)) _ _
#align finsupp.map_range_finset_sum Finsupp.mapRange_finset_sum
/-- `Finsupp.mapRange.AddMonoidHom` as an equiv. -/
@[simps apply]
def mapRange.addEquiv (f : M ≃+ N) : (α →₀ M) ≃+ (α →₀ N) :=
{ mapRange.addMonoidHom f.toAddMonoidHom with
toFun := (mapRange f f.map_zero : (α →₀ M) → α →₀ N)
invFun := (mapRange f.symm f.symm.map_zero : (α →₀ N) → α →₀ M)
left_inv := fun x => by
rw [← mapRange_comp _ _ _ _] <;> simp_rw [AddEquiv.symm_comp_self]
· exact mapRange_id _
· rfl
right_inv := fun x => by
rw [← mapRange_comp _ _ _ _] <;> simp_rw [AddEquiv.self_comp_symm]
· exact mapRange_id _
· rfl }
#align finsupp.map_range.add_equiv Finsupp.mapRange.addEquiv
@[simp]
theorem mapRange.addEquiv_refl : mapRange.addEquiv (AddEquiv.refl M) = AddEquiv.refl (α →₀ M) :=
AddEquiv.ext mapRange_id
#align finsupp.map_range.add_equiv_refl Finsupp.mapRange.addEquiv_refl
theorem mapRange.addEquiv_trans (f : M ≃+ N) (f₂ : N ≃+ P) :
(mapRange.addEquiv (f.trans f₂) : (α →₀ M) ≃+ (α →₀ P)) =
(mapRange.addEquiv f).trans (mapRange.addEquiv f₂) :=
AddEquiv.ext (mapRange_comp _ f₂.map_zero _ f.map_zero (by simp))
#align finsupp.map_range.add_equiv_trans Finsupp.mapRange.addEquiv_trans
@[simp]
theorem mapRange.addEquiv_symm (f : M ≃+ N) :
((mapRange.addEquiv f).symm : (α →₀ _) ≃+ _) = mapRange.addEquiv f.symm :=
AddEquiv.ext fun _ => rfl
#align finsupp.map_range.add_equiv_symm Finsupp.mapRange.addEquiv_symm
@[simp]
theorem mapRange.addEquiv_toAddMonoidHom (f : M ≃+ N) :
((mapRange.addEquiv f : (α →₀ _) ≃+ _) : _ →+ _) =
(mapRange.addMonoidHom f.toAddMonoidHom : (α →₀ _) →+ _) :=
AddMonoidHom.ext fun _ => rfl
#align finsupp.map_range.add_equiv_to_add_monoid_hom Finsupp.mapRange.addEquiv_toAddMonoidHom
@[simp]
theorem mapRange.addEquiv_toEquiv (f : M ≃+ N) :
↑(mapRange.addEquiv f : (α →₀ _) ≃+ _) =
(mapRange.equiv (f : M ≃ N) f.map_zero f.symm.map_zero : (α →₀ _) ≃ _) :=
Equiv.ext fun _ => rfl
#align finsupp.map_range.add_equiv_to_equiv Finsupp.mapRange.addEquiv_toEquiv
end AddMonoidHom
end Finsupp
end MapRange
/-! ### Declarations about `equivCongrLeft` -/
section EquivCongrLeft
variable [Zero M]
namespace Finsupp
/-- Given `f : α ≃ β`, we can map `l : α →₀ M` to `equivMapDomain f l : β →₀ M` (computably)
by mapping the support forwards and the function backwards. -/
def equivMapDomain (f : α ≃ β) (l : α →₀ M) : β →₀ M where
support := l.support.map f.toEmbedding
toFun a := l (f.symm a)
mem_support_toFun a := by simp only [Finset.mem_map_equiv, mem_support_toFun]; rfl
#align finsupp.equiv_map_domain Finsupp.equivMapDomain
@[simp]
theorem equivMapDomain_apply (f : α ≃ β) (l : α →₀ M) (b : β) :
equivMapDomain f l b = l (f.symm b) :=
rfl
#align finsupp.equiv_map_domain_apply Finsupp.equivMapDomain_apply
theorem equivMapDomain_symm_apply (f : α ≃ β) (l : β →₀ M) (a : α) :
equivMapDomain f.symm l a = l (f a) :=
rfl
#align finsupp.equiv_map_domain_symm_apply Finsupp.equivMapDomain_symm_apply
@[simp]
theorem equivMapDomain_refl (l : α →₀ M) : equivMapDomain (Equiv.refl _) l = l := by ext x; rfl
#align finsupp.equiv_map_domain_refl Finsupp.equivMapDomain_refl
theorem equivMapDomain_refl' : equivMapDomain (Equiv.refl _) = @id (α →₀ M) := by ext x; rfl
#align finsupp.equiv_map_domain_refl' Finsupp.equivMapDomain_refl'
theorem equivMapDomain_trans (f : α ≃ β) (g : β ≃ γ) (l : α →₀ M) :
equivMapDomain (f.trans g) l = equivMapDomain g (equivMapDomain f l) := by ext x; rfl
#align finsupp.equiv_map_domain_trans Finsupp.equivMapDomain_trans
theorem equivMapDomain_trans' (f : α ≃ β) (g : β ≃ γ) :
@equivMapDomain _ _ M _ (f.trans g) = equivMapDomain g ∘ equivMapDomain f := by ext x; rfl
#align finsupp.equiv_map_domain_trans' Finsupp.equivMapDomain_trans'
@[simp]
theorem equivMapDomain_single (f : α ≃ β) (a : α) (b : M) :
equivMapDomain f (single a b) = single (f a) b := by
classical
ext x
simp only [single_apply, Equiv.apply_eq_iff_eq_symm_apply, equivMapDomain_apply]
#align finsupp.equiv_map_domain_single Finsupp.equivMapDomain_single
@[simp]
theorem equivMapDomain_zero {f : α ≃ β} : equivMapDomain f (0 : α →₀ M) = (0 : β →₀ M) := by
ext; simp only [equivMapDomain_apply, coe_zero, Pi.zero_apply]
#align finsupp.equiv_map_domain_zero Finsupp.equivMapDomain_zero
@[to_additive (attr := simp)]
theorem prod_equivMapDomain [CommMonoid N] (f : α ≃ β) (l : α →₀ M) (g : β → M → N):
prod (equivMapDomain f l) g = prod l (fun a m => g (f a) m) := by
simp [prod, equivMapDomain]
/-- Given `f : α ≃ β`, the finitely supported function spaces are also in bijection:
`(α →₀ M) ≃ (β →₀ M)`.
This is the finitely-supported version of `Equiv.piCongrLeft`. -/
def equivCongrLeft (f : α ≃ β) : (α →₀ M) ≃ (β →₀ M) := by
refine ⟨equivMapDomain f, equivMapDomain f.symm, fun f => ?_, fun f => ?_⟩ <;> ext x <;>
simp only [equivMapDomain_apply, Equiv.symm_symm, Equiv.symm_apply_apply,
Equiv.apply_symm_apply]
#align finsupp.equiv_congr_left Finsupp.equivCongrLeft
@[simp]
theorem equivCongrLeft_apply (f : α ≃ β) (l : α →₀ M) : equivCongrLeft f l = equivMapDomain f l :=
rfl
#align finsupp.equiv_congr_left_apply Finsupp.equivCongrLeft_apply
@[simp]
theorem equivCongrLeft_symm (f : α ≃ β) :
(@equivCongrLeft _ _ M _ f).symm = equivCongrLeft f.symm :=
rfl
#align finsupp.equiv_congr_left_symm Finsupp.equivCongrLeft_symm
end Finsupp
end EquivCongrLeft
section CastFinsupp
variable [Zero M] (f : α →₀ M)
namespace Nat
@[simp, norm_cast]
theorem cast_finsupp_prod [CommSemiring R] (g : α → M → ℕ) :
(↑(f.prod g) : R) = f.prod fun a b => ↑(g a b) :=
Nat.cast_prod _ _
#align nat.cast_finsupp_prod Nat.cast_finsupp_prod
@[simp, norm_cast]
theorem cast_finsupp_sum [CommSemiring R] (g : α → M → ℕ) :
(↑(f.sum g) : R) = f.sum fun a b => ↑(g a b) :=
Nat.cast_sum _ _
#align nat.cast_finsupp_sum Nat.cast_finsupp_sum
end Nat
namespace Int
@[simp, norm_cast]
theorem cast_finsupp_prod [CommRing R] (g : α → M → ℤ) :
(↑(f.prod g) : R) = f.prod fun a b => ↑(g a b) :=
Int.cast_prod _ _
#align int.cast_finsupp_prod Int.cast_finsupp_prod
@[simp, norm_cast]
theorem cast_finsupp_sum [CommRing R] (g : α → M → ℤ) :
(↑(f.sum g) : R) = f.sum fun a b => ↑(g a b) :=
Int.cast_sum _ _
#align int.cast_finsupp_sum Int.cast_finsupp_sum
end Int
namespace Rat
@[simp, norm_cast]
theorem cast_finsupp_sum [DivisionRing R] [CharZero R] (g : α → M → ℚ) :
(↑(f.sum g) : R) = f.sum fun a b => ↑(g a b) :=
cast_sum _ _
#align rat.cast_finsupp_sum Rat.cast_finsupp_sum
@[simp, norm_cast]
theorem cast_finsupp_prod [Field R] [CharZero R] (g : α → M → ℚ) :
(↑(f.prod g) : R) = f.prod fun a b => ↑(g a b) :=
cast_prod _ _
#align rat.cast_finsupp_prod Rat.cast_finsupp_prod
end Rat
end CastFinsupp
/-! ### Declarations about `mapDomain` -/
namespace Finsupp
section MapDomain
variable [AddCommMonoid M] {v v₁ v₂ : α →₀ M}
/-- Given `f : α → β` and `v : α →₀ M`, `mapDomain f v : β →₀ M`
is the finitely supported function whose value at `a : β` is the sum
of `v x` over all `x` such that `f x = a`. -/
def mapDomain (f : α → β) (v : α →₀ M) : β →₀ M :=
v.sum fun a => single (f a)
#align finsupp.map_domain Finsupp.mapDomain
theorem mapDomain_apply {f : α → β} (hf : Function.Injective f) (x : α →₀ M) (a : α) :
mapDomain f x (f a) = x a := by
rw [mapDomain, sum_apply, sum_eq_single a, single_eq_same]
· intro b _ hba
exact single_eq_of_ne (hf.ne hba)
· intro _
rw [single_zero, coe_zero, Pi.zero_apply]
#align finsupp.map_domain_apply Finsupp.mapDomain_apply
theorem mapDomain_notin_range {f : α → β} (x : α →₀ M) (a : β) (h : a ∉ Set.range f) :
mapDomain f x a = 0 := by
rw [mapDomain, sum_apply, sum]
exact Finset.sum_eq_zero fun a' _ => single_eq_of_ne fun eq => h <| eq ▸ Set.mem_range_self _
#align finsupp.map_domain_notin_range Finsupp.mapDomain_notin_range
@[simp]
theorem mapDomain_id : mapDomain id v = v :=
sum_single _
#align finsupp.map_domain_id Finsupp.mapDomain_id
theorem mapDomain_comp {f : α → β} {g : β → γ} :
mapDomain (g ∘ f) v = mapDomain g (mapDomain f v) := by
refine ((sum_sum_index ?_ ?_).trans ?_).symm
· intro
exact single_zero _
· intro
exact single_add _
refine sum_congr fun _ _ => sum_single_index ?_
exact single_zero _
#align finsupp.map_domain_comp Finsupp.mapDomain_comp
@[simp]
theorem mapDomain_single {f : α → β} {a : α} {b : M} : mapDomain f (single a b) = single (f a) b :=
sum_single_index <| single_zero _
#align finsupp.map_domain_single Finsupp.mapDomain_single
@[simp]
theorem mapDomain_zero {f : α → β} : mapDomain f (0 : α →₀ M) = (0 : β →₀ M) :=
sum_zero_index
#align finsupp.map_domain_zero Finsupp.mapDomain_zero
theorem mapDomain_congr {f g : α → β} (h : ∀ x ∈ v.support, f x = g x) :
v.mapDomain f = v.mapDomain g :=
Finset.sum_congr rfl fun _ H => by simp only [h _ H]
#align finsupp.map_domain_congr Finsupp.mapDomain_congr
theorem mapDomain_add {f : α → β} : mapDomain f (v₁ + v₂) = mapDomain f v₁ + mapDomain f v₂ :=
sum_add_index' (fun _ => single_zero _) fun _ => single_add _
#align finsupp.map_domain_add Finsupp.mapDomain_add
@[simp]
theorem mapDomain_equiv_apply {f : α ≃ β} (x : α →₀ M) (a : β) :
mapDomain f x a = x (f.symm a) := by
conv_lhs => rw [← f.apply_symm_apply a]
exact mapDomain_apply f.injective _ _
#align finsupp.map_domain_equiv_apply Finsupp.mapDomain_equiv_apply
/-- `Finsupp.mapDomain` is an `AddMonoidHom`. -/
@[simps]
def mapDomain.addMonoidHom (f : α → β) : (α →₀ M) →+ β →₀ M where
toFun := mapDomain f
map_zero' := mapDomain_zero
map_add' _ _ := mapDomain_add
#align finsupp.map_domain.add_monoid_hom Finsupp.mapDomain.addMonoidHom
@[simp]
theorem mapDomain.addMonoidHom_id : mapDomain.addMonoidHom id = AddMonoidHom.id (α →₀ M) :=
AddMonoidHom.ext fun _ => mapDomain_id
#align finsupp.map_domain.add_monoid_hom_id Finsupp.mapDomain.addMonoidHom_id
theorem mapDomain.addMonoidHom_comp (f : β → γ) (g : α → β) :
(mapDomain.addMonoidHom (f ∘ g) : (α →₀ M) →+ γ →₀ M) =
(mapDomain.addMonoidHom f).comp (mapDomain.addMonoidHom g) :=
AddMonoidHom.ext fun _ => mapDomain_comp
#align finsupp.map_domain.add_monoid_hom_comp Finsupp.mapDomain.addMonoidHom_comp
theorem mapDomain_finset_sum {f : α → β} {s : Finset ι} {v : ι → α →₀ M} :
mapDomain f (∑ i ∈ s, v i) = ∑ i ∈ s, mapDomain f (v i) :=
map_sum (mapDomain.addMonoidHom f) _ _
#align finsupp.map_domain_finset_sum Finsupp.mapDomain_finset_sum
theorem mapDomain_sum [Zero N] {f : α → β} {s : α →₀ N} {v : α → N → α →₀ M} :
mapDomain f (s.sum v) = s.sum fun a b => mapDomain f (v a b) :=
map_finsupp_sum (mapDomain.addMonoidHom f : (α →₀ M) →+ β →₀ M) _ _
#align finsupp.map_domain_sum Finsupp.mapDomain_sum
theorem mapDomain_support [DecidableEq β] {f : α → β} {s : α →₀ M} :
(s.mapDomain f).support ⊆ s.support.image f :=
Finset.Subset.trans support_sum <|
Finset.Subset.trans (Finset.biUnion_mono fun a _ => support_single_subset) <| by
rw [Finset.biUnion_singleton]
#align finsupp.map_domain_support Finsupp.mapDomain_support
theorem mapDomain_apply' (S : Set α) {f : α → β} (x : α →₀ M) (hS : (x.support : Set α) ⊆ S)
(hf : Set.InjOn f S) {a : α} (ha : a ∈ S) : mapDomain f x (f a) = x a := by
classical
rw [mapDomain, sum_apply, sum]
simp_rw [single_apply]
by_cases hax : a ∈ x.support
· rw [← Finset.add_sum_erase _ _ hax, if_pos rfl]
convert add_zero (x a)
refine Finset.sum_eq_zero fun i hi => if_neg ?_
exact (hf.mono hS).ne (Finset.mem_of_mem_erase hi) hax (Finset.ne_of_mem_erase hi)
· rw [not_mem_support_iff.1 hax]
refine Finset.sum_eq_zero fun i hi => if_neg ?_
exact hf.ne (hS hi) ha (ne_of_mem_of_not_mem hi hax)
#align finsupp.map_domain_apply' Finsupp.mapDomain_apply'
theorem mapDomain_support_of_injOn [DecidableEq β] {f : α → β} (s : α →₀ M)
(hf : Set.InjOn f s.support) : (mapDomain f s).support = Finset.image f s.support :=
Finset.Subset.antisymm mapDomain_support <| by
intro x hx
simp only [mem_image, exists_prop, mem_support_iff, Ne] at hx
rcases hx with ⟨hx_w, hx_h_left, rfl⟩
simp only [mem_support_iff, Ne]
rw [mapDomain_apply' (↑s.support : Set _) _ _ hf]
· exact hx_h_left
· simp only [mem_coe, mem_support_iff, Ne]
exact hx_h_left
· exact Subset.refl _
#align finsupp.map_domain_support_of_inj_on Finsupp.mapDomain_support_of_injOn
theorem mapDomain_support_of_injective [DecidableEq β] {f : α → β} (hf : Function.Injective f)
(s : α →₀ M) : (mapDomain f s).support = Finset.image f s.support :=
mapDomain_support_of_injOn s hf.injOn
#align finsupp.map_domain_support_of_injective Finsupp.mapDomain_support_of_injective
@[to_additive]
theorem prod_mapDomain_index [CommMonoid N] {f : α → β} {s : α →₀ M} {h : β → M → N}
(h_zero : ∀ b, h b 0 = 1) (h_add : ∀ b m₁ m₂, h b (m₁ + m₂) = h b m₁ * h b m₂) :
(mapDomain f s).prod h = s.prod fun a m => h (f a) m :=
(prod_sum_index h_zero h_add).trans <| prod_congr fun _ _ => prod_single_index (h_zero _)
#align finsupp.prod_map_domain_index Finsupp.prod_mapDomain_index
#align finsupp.sum_map_domain_index Finsupp.sum_mapDomain_index
-- Note that in `prod_mapDomain_index`, `M` is still an additive monoid,
-- so there is no analogous version in terms of `MonoidHom`.
/-- A version of `sum_mapDomain_index` that takes a bundled `AddMonoidHom`,
rather than separate linearity hypotheses.
-/
@[simp]
theorem sum_mapDomain_index_addMonoidHom [AddCommMonoid N] {f : α → β} {s : α →₀ M}
(h : β → M →+ N) : ((mapDomain f s).sum fun b m => h b m) = s.sum fun a m => h (f a) m :=
sum_mapDomain_index (fun b => (h b).map_zero) (fun b _ _ => (h b).map_add _ _)
#align finsupp.sum_map_domain_index_add_monoid_hom Finsupp.sum_mapDomain_index_addMonoidHom
theorem embDomain_eq_mapDomain (f : α ↪ β) (v : α →₀ M) : embDomain f v = mapDomain f v := by
ext a
by_cases h : a ∈ Set.range f
· rcases h with ⟨a, rfl⟩
rw [mapDomain_apply f.injective, embDomain_apply]
· rw [mapDomain_notin_range, embDomain_notin_range] <;> assumption
#align finsupp.emb_domain_eq_map_domain Finsupp.embDomain_eq_mapDomain
@[to_additive]
theorem prod_mapDomain_index_inj [CommMonoid N] {f : α → β} {s : α →₀ M} {h : β → M → N}
(hf : Function.Injective f) : (s.mapDomain f).prod h = s.prod fun a b => h (f a) b := by
rw [← Function.Embedding.coeFn_mk f hf, ← embDomain_eq_mapDomain, prod_embDomain]
#align finsupp.prod_map_domain_index_inj Finsupp.prod_mapDomain_index_inj
#align finsupp.sum_map_domain_index_inj Finsupp.sum_mapDomain_index_inj
theorem mapDomain_injective {f : α → β} (hf : Function.Injective f) :
Function.Injective (mapDomain f : (α →₀ M) → β →₀ M) := by
intro v₁ v₂ eq
ext a
have : mapDomain f v₁ (f a) = mapDomain f v₂ (f a) := by rw [eq]
rwa [mapDomain_apply hf, mapDomain_apply hf] at this
#align finsupp.map_domain_injective Finsupp.mapDomain_injective
/-- When `f` is an embedding we have an embedding `(α →₀ ℕ) ↪ (β →₀ ℕ)` given by `mapDomain`. -/
@[simps]
def mapDomainEmbedding {α β : Type*} (f : α ↪ β) : (α →₀ ℕ) ↪ β →₀ ℕ :=
⟨Finsupp.mapDomain f, Finsupp.mapDomain_injective f.injective⟩
#align finsupp.map_domain_embedding Finsupp.mapDomainEmbedding
theorem mapDomain.addMonoidHom_comp_mapRange [AddCommMonoid N] (f : α → β) (g : M →+ N) :
(mapDomain.addMonoidHom f).comp (mapRange.addMonoidHom g) =
(mapRange.addMonoidHom g).comp (mapDomain.addMonoidHom f) := by
ext
simp only [AddMonoidHom.coe_comp, Finsupp.mapRange_single, Finsupp.mapDomain.addMonoidHom_apply,
Finsupp.singleAddHom_apply, eq_self_iff_true, Function.comp_apply, Finsupp.mapDomain_single,
Finsupp.mapRange.addMonoidHom_apply]
#align finsupp.map_domain.add_monoid_hom_comp_map_range Finsupp.mapDomain.addMonoidHom_comp_mapRange
/-- When `g` preserves addition, `mapRange` and `mapDomain` commute. -/
theorem mapDomain_mapRange [AddCommMonoid N] (f : α → β) (v : α →₀ M) (g : M → N) (h0 : g 0 = 0)
(hadd : ∀ x y, g (x + y) = g x + g y) :
mapDomain f (mapRange g h0 v) = mapRange g h0 (mapDomain f v) :=
let g' : M →+ N :=
{ toFun := g
map_zero' := h0
map_add' := hadd }
DFunLike.congr_fun (mapDomain.addMonoidHom_comp_mapRange f g') v
#align finsupp.map_domain_map_range Finsupp.mapDomain_mapRange
theorem sum_update_add [AddCommMonoid α] [AddCommMonoid β] (f : ι →₀ α) (i : ι) (a : α)
(g : ι → α → β) (hg : ∀ i, g i 0 = 0)
(hgg : ∀ (j : ι) (a₁ a₂ : α), g j (a₁ + a₂) = g j a₁ + g j a₂) :
(f.update i a).sum g + g i (f i) = f.sum g + g i a := by
rw [update_eq_erase_add_single, sum_add_index' hg hgg]
conv_rhs => rw [← Finsupp.update_self f i]
rw [update_eq_erase_add_single, sum_add_index' hg hgg, add_assoc, add_assoc]
congr 1
rw [add_comm, sum_single_index (hg _), sum_single_index (hg _)]
#align finsupp.sum_update_add Finsupp.sum_update_add
theorem mapDomain_injOn (S : Set α) {f : α → β} (hf : Set.InjOn f S) :
Set.InjOn (mapDomain f : (α →₀ M) → β →₀ M) { w | (w.support : Set α) ⊆ S } := by
intro v₁ hv₁ v₂ hv₂ eq
ext a
classical
by_cases h : a ∈ v₁.support ∪ v₂.support
· rw [← mapDomain_apply' S _ hv₁ hf _, ← mapDomain_apply' S _ hv₂ hf _, eq] <;>
· apply Set.union_subset hv₁ hv₂
exact mod_cast h
· simp only [not_or, mem_union, not_not, mem_support_iff] at h
simp [h]
#align finsupp.map_domain_inj_on Finsupp.mapDomain_injOn
theorem equivMapDomain_eq_mapDomain {M} [AddCommMonoid M] (f : α ≃ β) (l : α →₀ M) :
equivMapDomain f l = mapDomain f l := by ext x; simp [mapDomain_equiv_apply]
#align finsupp.equiv_map_domain_eq_map_domain Finsupp.equivMapDomain_eq_mapDomain
end MapDomain
/-! ### Declarations about `comapDomain` -/
section ComapDomain
/-- Given `f : α → β`, `l : β →₀ M` and a proof `hf` that `f` is injective on
the preimage of `l.support`, `comapDomain f l hf` is the finitely supported function
from `α` to `M` given by composing `l` with `f`. -/
@[simps support]
def comapDomain [Zero M] (f : α → β) (l : β →₀ M) (hf : Set.InjOn f (f ⁻¹' ↑l.support)) :
α →₀ M where
support := l.support.preimage f hf
toFun a := l (f a)
mem_support_toFun := by
intro a
simp only [Finset.mem_def.symm, Finset.mem_preimage]
exact l.mem_support_toFun (f a)
#align finsupp.comap_domain Finsupp.comapDomain
@[simp]
theorem comapDomain_apply [Zero M] (f : α → β) (l : β →₀ M) (hf : Set.InjOn f (f ⁻¹' ↑l.support))
(a : α) : comapDomain f l hf a = l (f a) :=
rfl
#align finsupp.comap_domain_apply Finsupp.comapDomain_apply
theorem sum_comapDomain [Zero M] [AddCommMonoid N] (f : α → β) (l : β →₀ M) (g : β → M → N)
(hf : Set.BijOn f (f ⁻¹' ↑l.support) ↑l.support) :
(comapDomain f l hf.injOn).sum (g ∘ f) = l.sum g := by
simp only [sum, comapDomain_apply, (· ∘ ·), comapDomain]
exact Finset.sum_preimage_of_bij f _ hf fun x => g x (l x)
#align finsupp.sum_comap_domain Finsupp.sum_comapDomain
theorem eq_zero_of_comapDomain_eq_zero [AddCommMonoid M] (f : α → β) (l : β →₀ M)
(hf : Set.BijOn f (f ⁻¹' ↑l.support) ↑l.support) : comapDomain f l hf.injOn = 0 → l = 0 := by
rw [← support_eq_empty, ← support_eq_empty, comapDomain]
simp only [Finset.ext_iff, Finset.not_mem_empty, iff_false_iff, mem_preimage]
intro h a ha
cases' hf.2.2 ha with b hb
exact h b (hb.2.symm ▸ ha)
#align finsupp.eq_zero_of_comap_domain_eq_zero Finsupp.eq_zero_of_comapDomain_eq_zero
section FInjective
section Zero
variable [Zero M]
lemma embDomain_comapDomain {f : α ↪ β} {g : β →₀ M} (hg : ↑g.support ⊆ Set.range f) :
embDomain f (comapDomain f g f.injective.injOn) = g := by
ext b
by_cases hb : b ∈ Set.range f
· obtain ⟨a, rfl⟩ := hb
rw [embDomain_apply, comapDomain_apply]
· replace hg : g b = 0 := not_mem_support_iff.mp <| mt (hg ·) hb
rw [embDomain_notin_range _ _ _ hb, hg]
/-- Note the `hif` argument is needed for this to work in `rw`. -/
@[simp]
| Mathlib/Data/Finsupp/Basic.lean | 734 | 738 | theorem comapDomain_zero (f : α → β)
(hif : Set.InjOn f (f ⁻¹' ↑(0 : β →₀ M).support) := Finset.coe_empty ▸ (Set.injOn_empty f)) :
comapDomain f (0 : β →₀ M) hif = (0 : α →₀ M) := by |
ext
rfl
|
/-
Copyright (c) 2022 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import Mathlib.Algebra.Ring.Action.Basic
import Mathlib.Algebra.Ring.Hom.Defs
import Mathlib.Algebra.Ring.InjSurj
import Mathlib.GroupTheory.Congruence.Basic
#align_import ring_theory.congruence from "leanprover-community/mathlib"@"2f39bcbc98f8255490f8d4562762c9467694c809"
/-!
# Congruence relations on rings
This file defines congruence relations on rings, which extend `Con` and `AddCon` on monoids and
additive monoids.
Most of the time you likely want to use the `Ideal.Quotient` API that is built on top of this.
## Main Definitions
* `RingCon R`: the type of congruence relations respecting `+` and `*`.
* `RingConGen r`: the inductively defined smallest ring congruence relation containing a given
binary relation.
## TODO
* Use this for `RingQuot` too.
* Copy across more API from `Con` and `AddCon` in `GroupTheory/Congruence.lean`.
-/
/-- A congruence relation on a type with an addition and multiplication is an equivalence relation
which preserves both. -/
structure RingCon (R : Type*) [Add R] [Mul R] extends Con R, AddCon R where
#align ring_con RingCon
/-- The induced multiplicative congruence from a `RingCon`. -/
add_decl_doc RingCon.toCon
/-- The induced additive congruence from a `RingCon`. -/
add_decl_doc RingCon.toAddCon
variable {α R : Type*}
/-- The inductively defined smallest ring congruence relation containing a given binary
relation. -/
inductive RingConGen.Rel [Add R] [Mul R] (r : R → R → Prop) : R → R → Prop
| of : ∀ x y, r x y → RingConGen.Rel r x y
| refl : ∀ x, RingConGen.Rel r x x
| symm : ∀ {x y}, RingConGen.Rel r x y → RingConGen.Rel r y x
| trans : ∀ {x y z}, RingConGen.Rel r x y → RingConGen.Rel r y z → RingConGen.Rel r x z
| add : ∀ {w x y z}, RingConGen.Rel r w x → RingConGen.Rel r y z →
RingConGen.Rel r (w + y) (x + z)
| mul : ∀ {w x y z}, RingConGen.Rel r w x → RingConGen.Rel r y z →
RingConGen.Rel r (w * y) (x * z)
#align ring_con_gen.rel RingConGen.Rel
/-- The inductively defined smallest ring congruence relation containing a given binary
relation. -/
def ringConGen [Add R] [Mul R] (r : R → R → Prop) : RingCon R where
r := RingConGen.Rel r
iseqv := ⟨RingConGen.Rel.refl, @RingConGen.Rel.symm _ _ _ _, @RingConGen.Rel.trans _ _ _ _⟩
add' := RingConGen.Rel.add
mul' := RingConGen.Rel.mul
#align ring_con_gen ringConGen
namespace RingCon
section Basic
variable [Add R] [Mul R] (c : RingCon R)
-- Porting note: upgrade to `FunLike`
/-- A coercion from a congruence relation to its underlying binary relation. -/
instance : FunLike (RingCon R) R (R → Prop) :=
{ coe := fun c => c.r,
coe_injective' := fun x y h => by
rcases x with ⟨⟨x, _⟩, _⟩
rcases y with ⟨⟨y, _⟩, _⟩
congr!
rw [Setoid.ext_iff,(show x.Rel = y.Rel from h)]
simp}
theorem rel_eq_coe : c.r = c :=
rfl
#align ring_con.rel_eq_coe RingCon.rel_eq_coe
@[simp]
theorem toCon_coe_eq_coe : (c.toCon : R → R → Prop) = c :=
rfl
protected theorem refl (x) : c x x :=
c.refl' x
#align ring_con.refl RingCon.refl
protected theorem symm {x y} : c x y → c y x :=
c.symm'
#align ring_con.symm RingCon.symm
protected theorem trans {x y z} : c x y → c y z → c x z :=
c.trans'
#align ring_con.trans RingCon.trans
protected theorem add {w x y z} : c w x → c y z → c (w + y) (x + z) :=
c.add'
#align ring_con.add RingCon.add
protected theorem mul {w x y z} : c w x → c y z → c (w * y) (x * z) :=
c.mul'
#align ring_con.mul RingCon.mul
instance : Inhabited (RingCon R) :=
⟨ringConGen EmptyRelation⟩
@[simp]
theorem rel_mk {s : Con R} {h a b} : RingCon.mk s h a b ↔ s a b :=
Iff.rfl
/-- The map sending a congruence relation to its underlying binary relation is injective. -/
theorem ext' {c d : RingCon R} (H : ⇑c = ⇑d) : c = d := DFunLike.coe_injective H
/-- Extensionality rule for congruence relations. -/
theorem ext {c d : RingCon R} (H : ∀ x y, c x y ↔ d x y) : c = d :=
ext' <| by ext; apply H
end Basic
section Quotient
section Basic
variable [Add R] [Mul R] (c : RingCon R)
/-- Defining the quotient by a congruence relation of a type with addition and multiplication. -/
protected def Quotient :=
Quotient c.toSetoid
#align ring_con.quotient RingCon.Quotient
variable {c}
/-- The morphism into the quotient by a congruence relation -/
@[coe] def toQuotient (r : R) : c.Quotient :=
@Quotient.mk'' _ c.toSetoid r
variable (c)
/-- Coercion from a type with addition and multiplication to its quotient by a congruence relation.
See Note [use has_coe_t]. -/
instance : CoeTC R c.Quotient :=
⟨toQuotient⟩
-- Lower the priority since it unifies with any quotient type.
/-- The quotient by a decidable congruence relation has decidable equality. -/
instance (priority := 500) [_d : ∀ a b, Decidable (c a b)] : DecidableEq c.Quotient :=
inferInstanceAs (DecidableEq (Quotient c.toSetoid))
@[simp]
theorem quot_mk_eq_coe (x : R) : Quot.mk c x = (x : c.Quotient) :=
rfl
#align ring_con.quot_mk_eq_coe RingCon.quot_mk_eq_coe
/-- Two elements are related by a congruence relation `c` iff they are represented by the same
element of the quotient by `c`. -/
@[simp]
protected theorem eq {a b : R} : (a : c.Quotient) = (b : c.Quotient) ↔ c a b :=
Quotient.eq''
#align ring_con.eq RingCon.eq
end Basic
/-! ### Basic notation
The basic algebraic notation, `0`, `1`, `+`, `*`, `-`, `^`, descend naturally under the quotient
-/
section Data
section add_mul
variable [Add R] [Mul R] (c : RingCon R)
instance : Add c.Quotient := inferInstanceAs (Add c.toAddCon.Quotient)
@[simp, norm_cast]
theorem coe_add (x y : R) : (↑(x + y) : c.Quotient) = ↑x + ↑y :=
rfl
#align ring_con.coe_add RingCon.coe_add
instance : Mul c.Quotient := inferInstanceAs (Mul c.toCon.Quotient)
@[simp, norm_cast]
theorem coe_mul (x y : R) : (↑(x * y) : c.Quotient) = ↑x * ↑y :=
rfl
#align ring_con.coe_mul RingCon.coe_mul
end add_mul
section Zero
variable [AddZeroClass R] [Mul R] (c : RingCon R)
instance : Zero c.Quotient := inferInstanceAs (Zero c.toAddCon.Quotient)
@[simp, norm_cast]
theorem coe_zero : (↑(0 : R) : c.Quotient) = 0 :=
rfl
#align ring_con.coe_zero RingCon.coe_zero
end Zero
section One
variable [Add R] [MulOneClass R] (c : RingCon R)
instance : One c.Quotient := inferInstanceAs (One c.toCon.Quotient)
@[simp, norm_cast]
theorem coe_one : (↑(1 : R) : c.Quotient) = 1 :=
rfl
#align ring_con.coe_one RingCon.coe_one
end One
section SMul
variable [Add R] [MulOneClass R] [SMul α R] [IsScalarTower α R R] (c : RingCon R)
instance : SMul α c.Quotient := inferInstanceAs (SMul α c.toCon.Quotient)
@[simp, norm_cast]
theorem coe_smul (a : α) (x : R) : (↑(a • x) : c.Quotient) = a • (x : c.Quotient) :=
rfl
#align ring_con.coe_smul RingCon.coe_smul
end SMul
section NegSubZSMul
variable [AddGroup R] [Mul R] (c : RingCon R)
instance : Neg c.Quotient := inferInstanceAs (Neg c.toAddCon.Quotient)
@[simp, norm_cast]
theorem coe_neg (x : R) : (↑(-x) : c.Quotient) = -x :=
rfl
#align ring_con.coe_neg RingCon.coe_neg
instance : Sub c.Quotient := inferInstanceAs (Sub c.toAddCon.Quotient)
@[simp, norm_cast]
theorem coe_sub (x y : R) : (↑(x - y) : c.Quotient) = x - y :=
rfl
#align ring_con.coe_sub RingCon.coe_sub
instance hasZSMul : SMul ℤ c.Quotient := inferInstanceAs (SMul ℤ c.toAddCon.Quotient)
#align ring_con.has_zsmul RingCon.hasZSMul
@[simp, norm_cast]
theorem coe_zsmul (z : ℤ) (x : R) : (↑(z • x) : c.Quotient) = z • (x : c.Quotient) :=
rfl
#align ring_con.coe_zsmul RingCon.coe_zsmul
end NegSubZSMul
section NSMul
variable [AddMonoid R] [Mul R] (c : RingCon R)
instance hasNSMul : SMul ℕ c.Quotient := inferInstanceAs (SMul ℕ c.toAddCon.Quotient)
#align ring_con.has_nsmul RingCon.hasNSMul
@[simp, norm_cast]
theorem coe_nsmul (n : ℕ) (x : R) : (↑(n • x) : c.Quotient) = n • (x : c.Quotient) :=
rfl
#align ring_con.coe_nsmul RingCon.coe_nsmul
end NSMul
section Pow
variable [Add R] [Monoid R] (c : RingCon R)
instance : Pow c.Quotient ℕ := inferInstanceAs (Pow c.toCon.Quotient ℕ)
@[simp, norm_cast]
theorem coe_pow (x : R) (n : ℕ) : (↑(x ^ n) : c.Quotient) = (x : c.Quotient) ^ n :=
rfl
#align ring_con.coe_pow RingCon.coe_pow
end Pow
section NatCast
variable [AddMonoidWithOne R] [Mul R] (c : RingCon R)
instance : NatCast c.Quotient :=
⟨fun n => ↑(n : R)⟩
@[simp, norm_cast]
theorem coe_natCast (n : ℕ) : (↑(n : R) : c.Quotient) = n :=
rfl
#align ring_con.coe_nat_cast RingCon.coe_natCast
@[deprecated (since := "2024-04-17")]
alias coe_nat_cast := coe_natCast
end NatCast
section IntCast
variable [AddGroupWithOne R] [Mul R] (c : RingCon R)
instance : IntCast c.Quotient :=
⟨fun z => ↑(z : R)⟩
@[simp, norm_cast]
theorem coe_intCast (n : ℕ) : (↑(n : R) : c.Quotient) = n :=
rfl
#align ring_con.coe_int_cast RingCon.coe_intCast
@[deprecated (since := "2024-04-17")]
alias coe_int_cast := coe_intCast
end IntCast
instance [Inhabited R] [Add R] [Mul R] (c : RingCon R) : Inhabited c.Quotient :=
⟨↑(default : R)⟩
end Data
/-! ### Algebraic structure
The operations above on the quotient by `c : RingCon R` preserve the algebraic structure of `R`.
-/
section Algebraic
instance [NonUnitalNonAssocSemiring R] (c : RingCon R) : NonUnitalNonAssocSemiring c.Quotient :=
Function.Surjective.nonUnitalNonAssocSemiring _ Quotient.surjective_Quotient_mk'' rfl
(fun _ _ => rfl) (fun _ _ => rfl) fun _ _ => rfl
instance [NonAssocSemiring R] (c : RingCon R) : NonAssocSemiring c.Quotient :=
Function.Surjective.nonAssocSemiring _ Quotient.surjective_Quotient_mk'' rfl rfl (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ _ => rfl) fun _ => rfl
instance [NonUnitalSemiring R] (c : RingCon R) : NonUnitalSemiring c.Quotient :=
Function.Surjective.nonUnitalSemiring _ Quotient.surjective_Quotient_mk'' rfl (fun _ _ => rfl)
(fun _ _ => rfl) fun _ _ => rfl
instance [Semiring R] (c : RingCon R) : Semiring c.Quotient :=
Function.Surjective.semiring _ Quotient.surjective_Quotient_mk'' rfl rfl (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ _ => rfl) (fun _ _ => rfl) fun _ => rfl
instance [CommSemiring R] (c : RingCon R) : CommSemiring c.Quotient :=
Function.Surjective.commSemiring _ Quotient.surjective_Quotient_mk'' rfl rfl (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ _ => rfl) (fun _ _ => rfl) fun _ => rfl
instance [NonUnitalNonAssocRing R] (c : RingCon R) : NonUnitalNonAssocRing c.Quotient :=
Function.Surjective.nonUnitalNonAssocRing _ Quotient.surjective_Quotient_mk'' rfl (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ => rfl) (fun _ _ => rfl) (fun _ _ => rfl) fun _ _ => rfl
instance [NonAssocRing R] (c : RingCon R) : NonAssocRing c.Quotient :=
Function.Surjective.nonAssocRing _ Quotient.surjective_Quotient_mk'' rfl rfl (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ => rfl) (fun _ _ => rfl) (fun _ _ => rfl) (fun _ _ => rfl)
(fun _ => rfl) fun _ => rfl
instance [NonUnitalRing R] (c : RingCon R) : NonUnitalRing c.Quotient :=
Function.Surjective.nonUnitalRing _ Quotient.surjective_Quotient_mk'' rfl (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ => rfl) (fun _ _ => rfl) (fun _ _ => rfl) fun _ _ => rfl
instance [Ring R] (c : RingCon R) : Ring c.Quotient :=
Function.Surjective.ring _ Quotient.surjective_Quotient_mk'' rfl rfl (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ => rfl) (fun _ _ => rfl) (fun _ _ => rfl) (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ => rfl) fun _ => rfl
instance [CommRing R] (c : RingCon R) : CommRing c.Quotient :=
Function.Surjective.commRing _ Quotient.surjective_Quotient_mk'' rfl rfl (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ => rfl) (fun _ _ => rfl) (fun _ _ => rfl) (fun _ _ => rfl)
(fun _ _ => rfl) (fun _ => rfl) fun _ => rfl
instance isScalarTower_right [Add R] [MulOneClass R] [SMul α R] [IsScalarTower α R R]
(c : RingCon R) : IsScalarTower α c.Quotient c.Quotient where
smul_assoc _ := Quotient.ind₂' fun _ _ => congr_arg Quotient.mk'' <| smul_mul_assoc _ _ _
#align ring_con.is_scalar_tower_right RingCon.isScalarTower_right
instance smulCommClass [Add R] [MulOneClass R] [SMul α R] [IsScalarTower α R R]
[SMulCommClass α R R] (c : RingCon R) : SMulCommClass α c.Quotient c.Quotient where
smul_comm _ := Quotient.ind₂' fun _ _ => congr_arg Quotient.mk'' <| (mul_smul_comm _ _ _).symm
#align ring_con.smul_comm_class RingCon.smulCommClass
instance smulCommClass' [Add R] [MulOneClass R] [SMul α R] [IsScalarTower α R R]
[SMulCommClass R α R] (c : RingCon R) : SMulCommClass c.Quotient α c.Quotient :=
haveI := SMulCommClass.symm R α R
SMulCommClass.symm _ _ _
#align ring_con.smul_comm_class' RingCon.smulCommClass'
instance [Monoid α] [NonAssocSemiring R] [DistribMulAction α R] [IsScalarTower α R R]
(c : RingCon R) : DistribMulAction α c.Quotient :=
{ c.toCon.mulAction with
smul_zero := fun _ => congr_arg toQuotient <| smul_zero _
smul_add := fun _ => Quotient.ind₂' fun _ _ => congr_arg toQuotient <| smul_add _ _ _ }
instance [Monoid α] [Semiring R] [MulSemiringAction α R] [IsScalarTower α R R] (c : RingCon R) :
MulSemiringAction α c.Quotient :=
{ smul_one := fun _ => congr_arg toQuotient <| smul_one _
smul_mul := fun _ => Quotient.ind₂' fun _ _ => congr_arg toQuotient <|
MulSemiringAction.smul_mul _ _ _ }
end Algebraic
/-- The natural homomorphism from a ring to its quotient by a congruence relation. -/
def mk' [NonAssocSemiring R] (c : RingCon R) : R →+* c.Quotient where
toFun := toQuotient
map_zero' := rfl
map_one' := rfl
map_add' _ _ := rfl
map_mul' _ _ := rfl
#align ring_con.mk' RingCon.mk'
end Quotient
/-! ### Lattice structure
The API in this section is copied from `Mathlib/GroupTheory/Congruence.lean`
-/
section Lattice
variable [Add R] [Mul R]
/-- For congruence relations `c, d` on a type `M` with multiplication and addition, `c ≤ d` iff
`∀ x y ∈ M`, `x` is related to `y` by `d` if `x` is related to `y` by `c`. -/
instance : LE (RingCon R) where
le c d := ∀ ⦃x y⦄, c x y → d x y
/-- Definition of `≤` for congruence relations. -/
theorem le_def {c d : RingCon R} : c ≤ d ↔ ∀ {x y}, c x y → d x y :=
Iff.rfl
/-- The infimum of a set of congruence relations on a given type with multiplication and
addition. -/
instance : InfSet (RingCon R) where
sInf S :=
{ r := fun x y => ∀ c : RingCon R, c ∈ S → c x y
iseqv :=
⟨fun x c _hc => c.refl x, fun h c hc => c.symm <| h c hc, fun h1 h2 c hc =>
c.trans (h1 c hc) <| h2 c hc⟩
add' := fun h1 h2 c hc => c.add (h1 c hc) <| h2 c hc
mul' := fun h1 h2 c hc => c.mul (h1 c hc) <| h2 c hc }
/-- The infimum of a set of congruence relations is the same as the infimum of the set's image
under the map to the underlying equivalence relation. -/
theorem sInf_toSetoid (S : Set (RingCon R)) : (sInf S).toSetoid = sInf ((·.toSetoid) '' S) :=
Setoid.ext' fun x y =>
⟨fun h r ⟨c, hS, hr⟩ => by rw [← hr]; exact h c hS, fun h c hS => h c.toSetoid ⟨c, hS, rfl⟩⟩
/-- The infimum of a set of congruence relations is the same as the infimum of the set's image
under the map to the underlying binary relation. -/
@[simp, norm_cast]
theorem coe_sInf (S : Set (RingCon R)) : ⇑(sInf S) = sInf ((⇑) '' S) := by
ext; simp only [sInf_image, iInf_apply, iInf_Prop_eq]; rfl
@[simp, norm_cast]
theorem coe_iInf {ι : Sort*} (f : ι → RingCon R) : ⇑(iInf f) = ⨅ i, ⇑(f i) := by
rw [iInf, coe_sInf, ← Set.range_comp, sInf_range, Function.comp]
instance : PartialOrder (RingCon R) where
le_refl _c _ _ := id
le_trans _c1 _c2 _c3 h1 h2 _x _y h := h2 <| h1 h
le_antisymm _c _d hc hd := ext fun _x _y => ⟨fun h => hc h, fun h => hd h⟩
/-- The complete lattice of congruence relations on a given type with multiplication and
addition. -/
instance : CompleteLattice (RingCon R) where
__ := completeLatticeOfInf (RingCon R) fun s =>
⟨fun r hr x y h => (h : ∀ r ∈ s, (r : RingCon R) x y) r hr,
fun _r hr _x _y h _r' hr' => hr hr' h⟩
inf c d :=
{ toSetoid := c.toSetoid ⊓ d.toSetoid
mul' := fun h1 h2 => ⟨c.mul h1.1 h2.1, d.mul h1.2 h2.2⟩
add' := fun h1 h2 => ⟨c.add h1.1 h2.1, d.add h1.2 h2.2⟩ }
inf_le_left _ _ := fun _ _ h => h.1
inf_le_right _ _ := fun _ _ h => h.2
le_inf _ _ _ hb hc := fun _ _ h => ⟨hb h, hc h⟩
top :=
{ (⊤ : Setoid R) with
mul' := fun _ _ => trivial
add' := fun _ _ => trivial }
le_top _ := fun _ _ _h => trivial
bot :=
{ (⊥ : Setoid R) with
mul' := congr_arg₂ _
add' := congr_arg₂ _ }
bot_le c := fun x _y h => h ▸ c.refl x
@[simp, norm_cast]
theorem coe_top : ⇑(⊤ : RingCon R) = ⊤ := rfl
@[simp, norm_cast]
theorem coe_bot : ⇑(⊥ : RingCon R) = Eq := rfl
/-- The infimum of two congruence relations equals the infimum of the underlying binary
operations. -/
@[simp, norm_cast]
theorem coe_inf {c d : RingCon R} : ⇑(c ⊓ d) = ⇑c ⊓ ⇑d := rfl
/-- Definition of the infimum of two congruence relations. -/
theorem inf_iff_and {c d : RingCon R} {x y} : (c ⊓ d) x y ↔ c x y ∧ d x y :=
Iff.rfl
instance [Nontrivial R] : Nontrivial (RingCon R) where
exists_pair_ne :=
let ⟨x, y, ne⟩ := exists_pair_ne R
⟨⊥, ⊤, ne_of_apply_ne (· x y) <| by simp [ne]⟩
/-- The inductively defined smallest congruence relation containing a binary relation `r` equals
the infimum of the set of congruence relations containing `r`. -/
theorem ringConGen_eq (r : R → R → Prop) :
ringConGen r = sInf {s : RingCon R | ∀ x y, r x y → s x y} :=
le_antisymm
(fun _x _y H =>
RingConGen.Rel.recOn H (fun _ _ h _ hs => hs _ _ h) (RingCon.refl _)
(fun _ => RingCon.symm _) (fun _ _ => RingCon.trans _)
(fun _ _ h1 h2 c hc => c.add (h1 c hc) <| h2 c hc)
(fun _ _ h1 h2 c hc => c.mul (h1 c hc) <| h2 c hc))
(sInf_le fun _ _ => RingConGen.Rel.of _ _)
/-- The smallest congruence relation containing a binary relation `r` is contained in any
congruence relation containing `r`. -/
theorem ringConGen_le {r : R → R → Prop} {c : RingCon R}
(h : ∀ x y, r x y → c x y) : ringConGen r ≤ c := by
rw [ringConGen_eq]; exact sInf_le h
/-- Given binary relations `r, s` with `r` contained in `s`, the smallest congruence relation
containing `s` contains the smallest congruence relation containing `r`. -/
theorem ringConGen_mono {r s : R → R → Prop} (h : ∀ x y, r x y → s x y) :
ringConGen r ≤ ringConGen s :=
ringConGen_le fun x y hr => RingConGen.Rel.of _ _ <| h x y hr
/-- Congruence relations equal the smallest congruence relation in which they are contained. -/
theorem ringConGen_of_ringCon (c : RingCon R) : ringConGen c = c :=
le_antisymm (by rw [ringConGen_eq]; exact sInf_le fun _ _ => id) RingConGen.Rel.of
/-- The map sending a binary relation to the smallest congruence relation in which it is
contained is idempotent. -/
theorem ringConGen_idem (r : R → R → Prop) : ringConGen (ringConGen r) = ringConGen r :=
ringConGen_of_ringCon _
/-- The supremum of congruence relations `c, d` equals the smallest congruence relation containing
the binary relation '`x` is related to `y` by `c` or `d`'. -/
theorem sup_eq_ringConGen (c d : RingCon R) : c ⊔ d = ringConGen fun x y => c x y ∨ d x y := by
rw [ringConGen_eq]
apply congr_arg sInf
simp only [le_def, or_imp, ← forall_and]
/-- The supremum of two congruence relations equals the smallest congruence relation containing
the supremum of the underlying binary operations. -/
theorem sup_def {c d : RingCon R} : c ⊔ d = ringConGen (⇑c ⊔ ⇑d) := by
rw [sup_eq_ringConGen]; rfl
/-- The supremum of a set of congruence relations `S` equals the smallest congruence relation
containing the binary relation 'there exists `c ∈ S` such that `x` is related to `y` by
`c`'. -/
theorem sSup_eq_ringConGen (S : Set (RingCon R)) :
sSup S = ringConGen fun x y => ∃ c : RingCon R, c ∈ S ∧ c x y := by
rw [ringConGen_eq]
apply congr_arg sInf
ext
exact ⟨fun h _ _ ⟨r, hr⟩ => h hr.1 hr.2, fun h r hS _ _ hr => h _ _ ⟨r, hS, hr⟩⟩
/-- The supremum of a set of congruence relations is the same as the smallest congruence relation
containing the supremum of the set's image under the map to the underlying binary relation. -/
| Mathlib/RingTheory/Congruence.lean | 579 | 583 | theorem sSup_def {S : Set (RingCon R)} :
sSup S = ringConGen (sSup (@Set.image (RingCon R) (R → R → Prop) (⇑) S)) := by |
rw [sSup_eq_ringConGen, sSup_image]
congr with (x y)
simp only [sSup_image, iSup_apply, iSup_Prop_eq, exists_prop, rel_eq_coe]
|
/-
Copyright (c) 2020 Thomas Browning. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Thomas Browning
-/
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"
/-!
# Cycle Types
In this file we define the cycle type of a permutation.
## Main definitions
- `Equiv.Perm.cycleType σ` where `σ` is a permutation of a `Fintype`
- `Equiv.Perm.partition σ` where `σ` is a permutation of a `Fintype`
## Main results
- `sum_cycleType` : The sum of `σ.cycleType` equals `σ.support.card`
- `lcm_cycleType` : The lcm of `σ.cycleType` equals `orderOf σ`
- `isConj_iff_cycleType_eq` : Two permutations are conjugate if and only if they have the same
cycle type.
- `exists_prime_orderOf_dvd_card`: For every prime `p` dividing the order of a finite group `G`
there exists an element of order `p` in `G`. This is known as Cauchy's theorem.
-/
namespace Equiv.Perm
open Equiv List Multiset
variable {α : Type*} [Fintype α]
section CycleType
variable [DecidableEq α]
/-- The cycle type of a permutation -/
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
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]
#align equiv.perm.sign_of_cycle_type' Equiv.Perm.sign_of_cycleType'
theorem sign_of_cycleType (f : Perm α) :
sign f = (-1 : ℤˣ) ^ (f.cycleType.sum + Multiset.card f.cycleType) := by
rw [sign_of_cycleType']
induction' f.cycleType using Multiset.induction_on with a s ihs
· rfl
· rw [Multiset.map_cons, Multiset.prod_cons, Multiset.sum_cons, Multiset.card_cons, ihs]
simp only [pow_add, pow_one, mul_neg_one, neg_mul, mul_neg, mul_assoc, mul_one]
#align equiv.perm.sign_of_cycle_type Equiv.Perm.sign_of_cycleType
@[simp] -- Porting note: new attr
theorem lcm_cycleType (σ : Perm α) : σ.cycleType.lcm = orderOf σ := by
induction σ using cycle_induction_on with
| base_one => simp
| base_cycles σ hσ => simp [hσ.cycleType, hσ.orderOf]
| induction_disjoint σ τ hd _ hσ hτ => simp [hd.cycleType, hd.orderOf, lcm_eq_nat_lcm, hσ, hτ]
#align equiv.perm.lcm_cycle_type Equiv.Perm.lcm_cycleType
theorem dvd_of_mem_cycleType {σ : Perm α} {n : ℕ} (h : n ∈ σ.cycleType) : n ∣ orderOf σ := by
rw [← lcm_cycleType]
exact dvd_lcm h
#align equiv.perm.dvd_of_mem_cycle_type Equiv.Perm.dvd_of_mem_cycleType
theorem orderOf_cycleOf_dvd_orderOf (f : Perm α) (x : α) : orderOf (cycleOf f x) ∣ orderOf f := by
by_cases hx : f x = x
· rw [← cycleOf_eq_one_iff] at hx
simp [hx]
· refine dvd_of_mem_cycleType ?_
rw [cycleType, Multiset.mem_map]
refine ⟨f.cycleOf x, ?_, ?_⟩
· rwa [← Finset.mem_def, cycleOf_mem_cycleFactorsFinset_iff, mem_support]
· simp [(isCycle_cycleOf _ hx).orderOf]
#align equiv.perm.order_of_cycle_of_dvd_order_of Equiv.Perm.orderOf_cycleOf_dvd_orderOf
theorem two_dvd_card_support {σ : Perm α} (hσ : σ ^ 2 = 1) : 2 ∣ σ.support.card :=
(congr_arg (Dvd.dvd 2) σ.sum_cycleType).mp
(Multiset.dvd_sum fun n hn => by
rw [_root_.le_antisymm
(Nat.le_of_dvd zero_lt_two <|
(dvd_of_mem_cycleType hn).trans <| orderOf_dvd_of_pow_eq_one hσ)
(two_le_of_mem_cycleType hn)])
#align equiv.perm.two_dvd_card_support Equiv.Perm.two_dvd_card_support
theorem cycleType_prime_order {σ : Perm α} (hσ : (orderOf σ).Prime) :
∃ n : ℕ, σ.cycleType = Multiset.replicate (n + 1) (orderOf σ) := by
refine ⟨Multiset.card σ.cycleType - 1, eq_replicate.2 ⟨?_, fun n hn ↦ ?_⟩⟩
· rw [tsub_add_cancel_of_le]
rw [Nat.succ_le_iff, card_cycleType_pos, Ne, ← orderOf_eq_one_iff]
exact hσ.ne_one
· exact (hσ.eq_one_or_self_of_dvd n (dvd_of_mem_cycleType hn)).resolve_left
(one_lt_of_mem_cycleType hn).ne'
#align equiv.perm.cycle_type_prime_order Equiv.Perm.cycleType_prime_order
theorem isCycle_of_prime_order {σ : Perm α} (h1 : (orderOf σ).Prime)
(h2 : σ.support.card < 2 * orderOf σ) : σ.IsCycle := by
obtain ⟨n, hn⟩ := cycleType_prime_order h1
rw [← σ.sum_cycleType, hn, Multiset.sum_replicate, nsmul_eq_mul, Nat.cast_id,
mul_lt_mul_right (orderOf_pos σ), Nat.succ_lt_succ_iff, Nat.lt_succ_iff, Nat.le_zero] at h2
rw [← card_cycleType_eq_one, hn, card_replicate, h2]
#align equiv.perm.is_cycle_of_prime_order Equiv.Perm.isCycle_of_prime_order
theorem cycleType_le_of_mem_cycleFactorsFinset {f g : Perm α} (hf : f ∈ g.cycleFactorsFinset) :
f.cycleType ≤ g.cycleType := by
have hf' := mem_cycleFactorsFinset_iff.1 hf
rw [cycleType_def, cycleType_def, hf'.left.cycleFactorsFinset_eq_singleton]
refine map_le_map ?_
simpa only [Finset.singleton_val, singleton_le, Finset.mem_val] using hf
#align equiv.perm.cycle_type_le_of_mem_cycle_factors_finset Equiv.Perm.cycleType_le_of_mem_cycleFactorsFinset
theorem cycleType_mul_inv_mem_cycleFactorsFinset_eq_sub
{f g : Perm α} (hf : f ∈ g.cycleFactorsFinset) :
(g * f⁻¹).cycleType = g.cycleType - f.cycleType :=
add_right_cancel (b := f.cycleType) <| by
rw [← (disjoint_mul_inv_of_mem_cycleFactorsFinset hf).cycleType, inv_mul_cancel_right,
tsub_add_cancel_of_le (cycleType_le_of_mem_cycleFactorsFinset hf)]
#align equiv.perm.cycle_type_mul_mem_cycle_factors_finset_eq_sub Equiv.Perm.cycleType_mul_inv_mem_cycleFactorsFinset_eq_sub
theorem isConj_of_cycleType_eq {σ τ : Perm α} (h : cycleType σ = cycleType τ) : IsConj σ τ := by
induction σ using cycle_induction_on generalizing τ with
| base_one =>
rw [cycleType_one, eq_comm, cycleType_eq_zero] at h
rw [h]
| base_cycles σ hσ =>
have hτ := card_cycleType_eq_one.2 hσ
rw [h, card_cycleType_eq_one] at hτ
apply hσ.isConj hτ
rw [hσ.cycleType, hτ.cycleType, coe_eq_coe, List.singleton_perm] at h
exact List.singleton_injective h
| induction_disjoint σ π hd hc hσ hπ =>
rw [hd.cycleType] at h
have h' : σ.support.card ∈ τ.cycleType := by
simp [← h, hc.cycleType]
obtain ⟨σ', hσ'l, hσ'⟩ := Multiset.mem_map.mp h'
have key : IsConj (σ' * τ * σ'⁻¹) τ := (isConj_iff.2 ⟨σ', rfl⟩).symm
refine IsConj.trans ?_ key
rw [mul_assoc]
have hs : σ.cycleType = σ'.cycleType := by
rw [← Finset.mem_def, mem_cycleFactorsFinset_iff] at hσ'l
rw [hc.cycleType, ← hσ', hσ'l.left.cycleType]; rfl
refine hd.isConj_mul (hσ hs) (hπ ?_) ?_
· rw [cycleType_mul_inv_mem_cycleFactorsFinset_eq_sub, ← h, add_comm, hs,
add_tsub_cancel_right]
rwa [Finset.mem_def]
· exact (disjoint_mul_inv_of_mem_cycleFactorsFinset hσ'l).symm
#align equiv.perm.is_conj_of_cycle_type_eq Equiv.Perm.isConj_of_cycleType_eq
theorem isConj_iff_cycleType_eq {σ τ : Perm α} : IsConj σ τ ↔ σ.cycleType = τ.cycleType :=
⟨fun h => by
obtain ⟨π, rfl⟩ := isConj_iff.1 h
rw [cycleType_conj], isConj_of_cycleType_eq⟩
#align equiv.perm.is_conj_iff_cycle_type_eq Equiv.Perm.isConj_iff_cycleType_eq
@[simp]
theorem cycleType_extendDomain {β : Type*} [Fintype β] [DecidableEq β] {p : β → Prop}
[DecidablePred p] (f : α ≃ Subtype p) {g : Perm α} :
cycleType (g.extendDomain f) = cycleType g := by
induction g using cycle_induction_on with
| base_one => rw [extendDomain_one, cycleType_one, cycleType_one]
| base_cycles σ hσ =>
rw [(hσ.extendDomain f).cycleType, hσ.cycleType, card_support_extend_domain]
| induction_disjoint σ τ hd _ hσ hτ =>
rw [hd.cycleType, ← extendDomain_mul, (hd.extendDomain f).cycleType, hσ, hτ]
#align equiv.perm.cycle_type_extend_domain Equiv.Perm.cycleType_extendDomain
theorem cycleType_ofSubtype {p : α → Prop} [DecidablePred p] {g : Perm (Subtype p)} :
cycleType (ofSubtype g) = cycleType g :=
cycleType_extendDomain (Equiv.refl (Subtype p))
#align equiv.perm.cycle_type_of_subtype Equiv.Perm.cycleType_ofSubtype
theorem mem_cycleType_iff {n : ℕ} {σ : Perm α} :
n ∈ cycleType σ ↔ ∃ c τ, σ = c * τ ∧ Disjoint c τ ∧ IsCycle c ∧ c.support.card = n := by
constructor
· intro h
obtain ⟨l, rfl, hlc, hld⟩ := truncCycleFactors σ
rw [cycleType_eq _ rfl hlc hld, Multiset.mem_coe, List.mem_map] at h
obtain ⟨c, cl, rfl⟩ := h
rw [(List.perm_cons_erase cl).pairwise_iff @(Disjoint.symmetric)] at hld
refine ⟨c, (l.erase c).prod, ?_, ?_, hlc _ cl, rfl⟩
· rw [← List.prod_cons, (List.perm_cons_erase cl).symm.prod_eq' (hld.imp Disjoint.commute)]
· exact disjoint_prod_right _ fun g => List.rel_of_pairwise_cons hld
· rintro ⟨c, t, rfl, hd, hc, rfl⟩
simp [hd.cycleType, hc.cycleType]
#align equiv.perm.mem_cycle_type_iff Equiv.Perm.mem_cycleType_iff
theorem le_card_support_of_mem_cycleType {n : ℕ} {σ : Perm α} (h : n ∈ cycleType σ) :
n ≤ σ.support.card :=
(le_sum_of_mem h).trans (le_of_eq σ.sum_cycleType)
#align equiv.perm.le_card_support_of_mem_cycle_type Equiv.Perm.le_card_support_of_mem_cycleType
theorem cycleType_of_card_le_mem_cycleType_add_two {n : ℕ} {g : Perm α}
(hn2 : Fintype.card α < n + 2) (hng : n ∈ g.cycleType) : g.cycleType = {n} := by
obtain ⟨c, g', rfl, hd, hc, rfl⟩ := mem_cycleType_iff.1 hng
suffices g'1 : g' = 1 by
rw [hd.cycleType, hc.cycleType, coe_singleton, g'1, cycleType_one, add_zero]
contrapose! hn2 with g'1
apply le_trans _ (c * g').support.card_le_univ
rw [hd.card_support_mul]
exact add_le_add_left (two_le_card_support_of_ne_one g'1) _
#align equiv.perm.cycle_type_of_card_le_mem_cycle_type_add_two Equiv.Perm.cycleType_of_card_le_mem_cycleType_add_two
end CycleType
theorem card_compl_support_modEq [DecidableEq α] {p n : ℕ} [hp : Fact p.Prime] {σ : Perm α}
(hσ : σ ^ p ^ n = 1) : σ.supportᶜ.card ≡ Fintype.card α [MOD p] := by
rw [Nat.modEq_iff_dvd', ← Finset.card_compl, compl_compl, ← sum_cycleType]
· refine Multiset.dvd_sum fun k hk => ?_
obtain ⟨m, -, hm⟩ := (Nat.dvd_prime_pow hp.out).mp (orderOf_dvd_of_pow_eq_one hσ)
obtain ⟨l, -, rfl⟩ := (Nat.dvd_prime_pow hp.out).mp
((congr_arg _ hm).mp (dvd_of_mem_cycleType hk))
exact dvd_pow_self _ fun h => (one_lt_of_mem_cycleType hk).ne <| by rw [h, pow_zero]
· exact Finset.card_le_univ _
#align equiv.perm.card_compl_support_modeq Equiv.Perm.card_compl_support_modEq
open Function in
/-- The number of fixed points of a `p ^ n`-th root of the identity function over a finite set
and the set's cardinality have the same residue modulo `p`, where `p` is a prime. -/
theorem card_fixedPoints_modEq [DecidableEq α] {f : Function.End α} {p n : ℕ}
[hp : Fact p.Prime] (hf : f ^ p ^ n = 1) :
Fintype.card α ≡ Fintype.card f.fixedPoints [MOD p] := by
let σ : α ≃ α := ⟨f, f ^ (p ^ n - 1),
leftInverse_iff_comp.mpr ((pow_sub_mul_pow f (Nat.one_le_pow n p hp.out.pos)).trans hf),
leftInverse_iff_comp.mpr ((pow_mul_pow_sub f (Nat.one_le_pow n p hp.out.pos)).trans hf)⟩
have hσ : σ ^ p ^ n = 1 := by
rw [DFunLike.ext'_iff, coe_pow]
exact (hom_coe_pow (fun g : Function.End α ↦ g) rfl (fun g h ↦ rfl) f (p ^ n)).symm.trans hf
suffices Fintype.card f.fixedPoints = (support σ)ᶜ.card from
this ▸ (card_compl_support_modEq hσ).symm
suffices f.fixedPoints = (support σ)ᶜ by
simp only [this]; apply Fintype.card_coe
simp [σ, Set.ext_iff, IsFixedPt]
theorem exists_fixed_point_of_prime {p n : ℕ} [hp : Fact p.Prime] (hα : ¬p ∣ Fintype.card α)
{σ : Perm α} (hσ : σ ^ p ^ n = 1) : ∃ a : α, σ a = a := by
classical
contrapose! hα
simp_rw [← mem_support, ← Finset.eq_univ_iff_forall] at hα
exact Nat.modEq_zero_iff_dvd.1 ((congr_arg _ (Finset.card_eq_zero.2 (compl_eq_bot.2 hα))).mp
(card_compl_support_modEq hσ).symm)
#align equiv.perm.exists_fixed_point_of_prime Equiv.Perm.exists_fixed_point_of_prime
theorem exists_fixed_point_of_prime' {p n : ℕ} [hp : Fact p.Prime] (hα : p ∣ Fintype.card α)
{σ : Perm α} (hσ : σ ^ p ^ n = 1) {a : α} (ha : σ a = a) : ∃ b : α, σ b = b ∧ b ≠ a := by
classical
have h : ∀ b : α, b ∈ σ.supportᶜ ↔ σ b = b := fun b => by
rw [Finset.mem_compl, mem_support, Classical.not_not]
obtain ⟨b, hb1, hb2⟩ := Finset.exists_ne_of_one_lt_card (hp.out.one_lt.trans_le
(Nat.le_of_dvd (Finset.card_pos.mpr ⟨a, (h a).mpr ha⟩) (Nat.modEq_zero_iff_dvd.mp
((card_compl_support_modEq hσ).trans (Nat.modEq_zero_iff_dvd.mpr hα))))) a
exact ⟨b, (h b).mp hb1, hb2⟩
#align equiv.perm.exists_fixed_point_of_prime' Equiv.Perm.exists_fixed_point_of_prime'
theorem isCycle_of_prime_order' {σ : Perm α} (h1 : (orderOf σ).Prime)
(h2 : Fintype.card α < 2 * orderOf σ) : σ.IsCycle := by
classical exact isCycle_of_prime_order h1 (lt_of_le_of_lt σ.support.card_le_univ h2)
#align equiv.perm.is_cycle_of_prime_order' Equiv.Perm.isCycle_of_prime_order'
theorem isCycle_of_prime_order'' {σ : Perm α} (h1 : (Fintype.card α).Prime)
(h2 : orderOf σ = Fintype.card α) : σ.IsCycle :=
isCycle_of_prime_order' ((congr_arg Nat.Prime h2).mpr h1) <| by
rw [← one_mul (Fintype.card α), ← h2, mul_lt_mul_right (orderOf_pos σ)]
exact one_lt_two
#align equiv.perm.is_cycle_of_prime_order'' Equiv.Perm.isCycle_of_prime_order''
section Cauchy
variable (G : Type*) [Group G] (n : ℕ)
/-- The type of vectors with terms from `G`, length `n`, and product equal to `1:G`. -/
def vectorsProdEqOne : Set (Vector G n) :=
{ v | v.toList.prod = 1 }
#align equiv.perm.vectors_prod_eq_one Equiv.Perm.vectorsProdEqOne
namespace VectorsProdEqOne
theorem mem_iff {n : ℕ} (v : Vector G n) : v ∈ vectorsProdEqOne G n ↔ v.toList.prod = 1 :=
Iff.rfl
#align equiv.perm.vectors_prod_eq_one.mem_iff Equiv.Perm.VectorsProdEqOne.mem_iff
theorem zero_eq : vectorsProdEqOne G 0 = {Vector.nil} :=
Set.eq_singleton_iff_unique_mem.mpr ⟨Eq.refl (1 : G), fun v _ => v.eq_nil⟩
#align equiv.perm.vectors_prod_eq_one.zero_eq Equiv.Perm.VectorsProdEqOne.zero_eq
theorem one_eq : vectorsProdEqOne G 1 = {Vector.nil.cons 1} := by
simp_rw [Set.eq_singleton_iff_unique_mem, mem_iff, Vector.toList_singleton, List.prod_singleton,
Vector.head_cons, true_and]
exact fun v hv => v.cons_head_tail.symm.trans (congr_arg₂ Vector.cons hv v.tail.eq_nil)
#align equiv.perm.vectors_prod_eq_one.one_eq Equiv.Perm.VectorsProdEqOne.one_eq
instance zeroUnique : Unique (vectorsProdEqOne G 0) := by
rw [zero_eq]
exact Set.uniqueSingleton Vector.nil
#align equiv.perm.vectors_prod_eq_one.zero_unique Equiv.Perm.VectorsProdEqOne.zeroUnique
instance oneUnique : Unique (vectorsProdEqOne G 1) := by
rw [one_eq]
exact Set.uniqueSingleton (Vector.nil.cons 1)
#align equiv.perm.vectors_prod_eq_one.one_unique Equiv.Perm.VectorsProdEqOne.oneUnique
/-- Given a vector `v` of length `n`, make a vector of length `n + 1` whose product is `1`,
by appending the inverse of the product of `v`. -/
@[simps]
def vectorEquiv : Vector G n ≃ vectorsProdEqOne G (n + 1) where
toFun v := ⟨v.toList.prod⁻¹ ::ᵥ v, by
rw [mem_iff, Vector.toList_cons, List.prod_cons, inv_mul_self]⟩
invFun v := v.1.tail
left_inv v := v.tail_cons v.toList.prod⁻¹
right_inv v := Subtype.ext <|
calc
v.1.tail.toList.prod⁻¹ ::ᵥ v.1.tail = v.1.head ::ᵥ v.1.tail :=
congr_arg (· ::ᵥ v.1.tail) <| Eq.symm <| eq_inv_of_mul_eq_one_left <| by
rw [← List.prod_cons, ← Vector.toList_cons, v.1.cons_head_tail]
exact v.2
_ = v.1 := v.1.cons_head_tail
#align equiv.perm.vectors_prod_eq_one.vector_equiv Equiv.Perm.VectorsProdEqOne.vectorEquiv
/-- Given a vector `v` of length `n` whose product is 1, make a vector of length `n - 1`,
by deleting the last entry of `v`. -/
def equivVector : ∀ n, vectorsProdEqOne G n ≃ Vector G (n - 1)
| 0 => (equivOfUnique (vectorsProdEqOne G 0) (vectorsProdEqOne G 1)).trans (vectorEquiv G 0).symm
| (n + 1) => (vectorEquiv G n).symm
#align equiv.perm.vectors_prod_eq_one.equiv_vector Equiv.Perm.VectorsProdEqOne.equivVector
instance [Fintype G] : Fintype (vectorsProdEqOne G n) :=
Fintype.ofEquiv (Vector G (n - 1)) (equivVector G n).symm
theorem card [Fintype G] : Fintype.card (vectorsProdEqOne G n) = Fintype.card G ^ (n - 1) :=
(Fintype.card_congr (equivVector G n)).trans (card_vector (n - 1))
#align equiv.perm.vectors_prod_eq_one.card Equiv.Perm.VectorsProdEqOne.card
variable {G n} {g : G}
variable (v : vectorsProdEqOne G n) (j k : ℕ)
/-- Rotate a vector whose product is 1. -/
def rotate : vectorsProdEqOne G n :=
⟨⟨_, (v.1.1.length_rotate k).trans v.1.2⟩, List.prod_rotate_eq_one_of_prod_eq_one v.2 k⟩
#align equiv.perm.vectors_prod_eq_one.rotate Equiv.Perm.VectorsProdEqOne.rotate
theorem rotate_zero : rotate v 0 = v :=
Subtype.ext (Subtype.ext v.1.1.rotate_zero)
#align equiv.perm.vectors_prod_eq_one.rotate_zero Equiv.Perm.VectorsProdEqOne.rotate_zero
theorem rotate_rotate : rotate (rotate v j) k = rotate v (j + k) :=
Subtype.ext (Subtype.ext (v.1.1.rotate_rotate j k))
#align equiv.perm.vectors_prod_eq_one.rotate_rotate Equiv.Perm.VectorsProdEqOne.rotate_rotate
theorem rotate_length : rotate v n = v :=
Subtype.ext (Subtype.ext ((congr_arg _ v.1.2.symm).trans v.1.1.rotate_length))
#align equiv.perm.vectors_prod_eq_one.rotate_length Equiv.Perm.VectorsProdEqOne.rotate_length
end VectorsProdEqOne
/-- For every prime `p` dividing the order of a finite group `G` there exists an element of order
`p` in `G`. This is known as Cauchy's theorem. -/
theorem _root_.exists_prime_orderOf_dvd_card {G : Type*} [Group G] [Fintype G] (p : ℕ)
[hp : Fact p.Prime] (hdvd : p ∣ Fintype.card G) : ∃ x : G, orderOf x = p := by
have hp' : p - 1 ≠ 0 := mt tsub_eq_zero_iff_le.mp (not_le_of_lt hp.out.one_lt)
have Scard :=
calc
p ∣ Fintype.card G ^ (p - 1) := hdvd.trans (dvd_pow (dvd_refl _) hp')
_ = Fintype.card (vectorsProdEqOne G p) := (VectorsProdEqOne.card G p).symm
let f : ℕ → vectorsProdEqOne G p → vectorsProdEqOne G p := fun k v =>
VectorsProdEqOne.rotate v k
have hf1 : ∀ v, f 0 v = v := VectorsProdEqOne.rotate_zero
have hf2 : ∀ j k v, f k (f j v) = f (j + k) v := fun j k v =>
VectorsProdEqOne.rotate_rotate v j k
have hf3 : ∀ v, f p v = v := VectorsProdEqOne.rotate_length
let σ :=
Equiv.mk (f 1) (f (p - 1)) (fun s => by rw [hf2, add_tsub_cancel_of_le hp.out.one_lt.le, hf3])
fun s => by rw [hf2, tsub_add_cancel_of_le hp.out.one_lt.le, hf3]
have hσ : ∀ k v, (σ ^ k) v = f k v := fun k =>
Nat.rec (fun v => (hf1 v).symm) (fun k hk v => by
rw [pow_succ, Perm.mul_apply, hk (σ v), Nat.succ_eq_one_add, ← hf2 1 k]
simp only [σ, coe_fn_mk]) k
replace hσ : σ ^ p ^ 1 = 1 := Perm.ext fun v => by rw [pow_one, hσ, hf3, one_apply]
let v₀ : vectorsProdEqOne G p :=
⟨Vector.replicate p 1, (List.prod_replicate p 1).trans (one_pow p)⟩
have hv₀ : σ v₀ = v₀ := Subtype.ext (Subtype.ext (List.rotate_replicate (1 : G) p 1))
obtain ⟨v, hv1, hv2⟩ := exists_fixed_point_of_prime' Scard hσ hv₀
refine
Exists.imp (fun g hg => orderOf_eq_prime ?_ fun hg' => hv2 ?_)
(List.rotate_one_eq_self_iff_eq_replicate.mp (Subtype.ext_iff.mp (Subtype.ext_iff.mp hv1)))
· rw [← List.prod_replicate, ← v.1.2, ← hg, show v.val.val.prod = 1 from v.2]
· rw [Subtype.ext_iff_val, Subtype.ext_iff_val, hg, hg', v.1.2]
simp only [v₀, Vector.replicate]
#align exists_prime_order_of_dvd_card exists_prime_orderOf_dvd_card
/-- For every prime `p` dividing the order of a finite additive group `G` there exists an element of
order `p` in `G`. This is the additive version of Cauchy's theorem. -/
theorem _root_.exists_prime_addOrderOf_dvd_card {G : Type*} [AddGroup G] [Fintype G] (p : ℕ)
[hp : Fact p.Prime] (hdvd : p ∣ Fintype.card G) : ∃ x : G, addOrderOf x = p :=
@exists_prime_orderOf_dvd_card (Multiplicative G) _ _ _ _ (by convert hdvd)
#align exists_prime_add_order_of_dvd_card exists_prime_addOrderOf_dvd_card
attribute [to_additive existing] exists_prime_orderOf_dvd_card
end Cauchy
theorem subgroup_eq_top_of_swap_mem [DecidableEq α] {H : Subgroup (Perm α)}
[d : DecidablePred (· ∈ H)] {τ : Perm α} (h0 : (Fintype.card α).Prime)
(h1 : Fintype.card α ∣ Fintype.card H) (h2 : τ ∈ H) (h3 : IsSwap τ) : H = ⊤ := by
haveI : Fact (Fintype.card α).Prime := ⟨h0⟩
obtain ⟨σ, hσ⟩ := exists_prime_orderOf_dvd_card (Fintype.card α) h1
have hσ1 : orderOf (σ : Perm α) = Fintype.card α := (Subgroup.orderOf_coe σ).trans hσ
have hσ2 : IsCycle ↑σ := isCycle_of_prime_order'' h0 hσ1
have hσ3 : (σ : Perm α).support = ⊤ :=
Finset.eq_univ_of_card (σ : Perm α).support (hσ2.orderOf.symm.trans hσ1)
have hσ4 : Subgroup.closure {↑σ, τ} = ⊤ := closure_prime_cycle_swap h0 hσ2 hσ3 h3
rw [eq_top_iff, ← hσ4, Subgroup.closure_le, Set.insert_subset_iff, Set.singleton_subset_iff]
exact ⟨Subtype.mem σ, h2⟩
#align equiv.perm.subgroup_eq_top_of_swap_mem Equiv.Perm.subgroup_eq_top_of_swap_mem
section Partition
variable [DecidableEq α]
/-- The partition corresponding to a permutation -/
def partition (σ : Perm α) : (Fintype.card α).Partition where
parts := σ.cycleType + Multiset.replicate (Fintype.card α - σ.support.card) 1
parts_pos {n hn} := by
cases' mem_add.mp hn with hn hn
· exact zero_lt_one.trans (one_lt_of_mem_cycleType hn)
· exact lt_of_lt_of_le zero_lt_one (ge_of_eq (Multiset.eq_of_mem_replicate hn))
parts_sum := by
rw [sum_add, sum_cycleType, Multiset.sum_replicate, nsmul_eq_mul, Nat.cast_id, mul_one,
add_tsub_cancel_of_le σ.support.card_le_univ]
#align equiv.perm.partition Equiv.Perm.partition
theorem parts_partition {σ : Perm α} :
σ.partition.parts = σ.cycleType + Multiset.replicate (Fintype.card α - σ.support.card) 1 :=
rfl
#align equiv.perm.parts_partition Equiv.Perm.parts_partition
theorem filter_parts_partition_eq_cycleType {σ : Perm α} :
((partition σ).parts.filter fun n => 2 ≤ n) = σ.cycleType := by
rw [parts_partition, filter_add, Multiset.filter_eq_self.2 fun _ => two_le_of_mem_cycleType,
Multiset.filter_eq_nil.2 fun a h => ?_, add_zero]
rw [Multiset.eq_of_mem_replicate h]
decide
#align equiv.perm.filter_parts_partition_eq_cycle_type Equiv.Perm.filter_parts_partition_eq_cycleType
theorem partition_eq_of_isConj {σ τ : Perm α} : IsConj σ τ ↔ σ.partition = τ.partition := by
rw [isConj_iff_cycleType_eq]
refine ⟨fun h => ?_, fun h => ?_⟩
· rw [Nat.Partition.ext_iff, parts_partition, parts_partition, ← sum_cycleType, ← sum_cycleType,
h]
· rw [← filter_parts_partition_eq_cycleType, ← filter_parts_partition_eq_cycleType, h]
#align equiv.perm.partition_eq_of_is_conj Equiv.Perm.partition_eq_of_isConj
end Partition
/-!
### 3-cycles
-/
/-- A three-cycle is a cycle of length 3. -/
def IsThreeCycle [DecidableEq α] (σ : Perm α) : Prop :=
σ.cycleType = {3}
#align equiv.perm.is_three_cycle Equiv.Perm.IsThreeCycle
namespace IsThreeCycle
variable [DecidableEq α] {σ : Perm α}
theorem cycleType (h : IsThreeCycle σ) : σ.cycleType = {3} :=
h
#align equiv.perm.is_three_cycle.cycle_type Equiv.Perm.IsThreeCycle.cycleType
theorem card_support (h : IsThreeCycle σ) : σ.support.card = 3 := by
rw [← sum_cycleType, h.cycleType, Multiset.sum_singleton]
#align equiv.perm.is_three_cycle.card_support Equiv.Perm.IsThreeCycle.card_support
theorem _root_.card_support_eq_three_iff : σ.support.card = 3 ↔ σ.IsThreeCycle := by
refine ⟨fun h => ?_, IsThreeCycle.card_support⟩
by_cases h0 : σ.cycleType = 0
· rw [← sum_cycleType, h0, sum_zero] at h
exact (ne_of_lt zero_lt_three h).elim
obtain ⟨n, hn⟩ := exists_mem_of_ne_zero h0
by_cases h1 : σ.cycleType.erase n = 0
· rw [← sum_cycleType, ← cons_erase hn, h1, cons_zero, Multiset.sum_singleton] at h
rw [IsThreeCycle, ← cons_erase hn, h1, h, ← cons_zero]
obtain ⟨m, hm⟩ := exists_mem_of_ne_zero h1
rw [← sum_cycleType, ← cons_erase hn, ← cons_erase hm, Multiset.sum_cons, Multiset.sum_cons] at h
have : ∀ {k}, 2 ≤ m → 2 ≤ n → n + (m + k) = 3 → False := by omega
cases this (two_le_of_mem_cycleType (mem_of_mem_erase hm)) (two_le_of_mem_cycleType hn) h
#align card_support_eq_three_iff card_support_eq_three_iff
theorem isCycle (h : IsThreeCycle σ) : IsCycle σ := by
rw [← card_cycleType_eq_one, h.cycleType, card_singleton]
#align equiv.perm.is_three_cycle.is_cycle Equiv.Perm.IsThreeCycle.isCycle
theorem sign (h : IsThreeCycle σ) : sign σ = 1 := by
rw [Equiv.Perm.sign_of_cycleType, h.cycleType]
rfl
#align equiv.perm.is_three_cycle.sign Equiv.Perm.IsThreeCycle.sign
theorem inv {f : Perm α} (h : IsThreeCycle f) : IsThreeCycle f⁻¹ := by
rwa [IsThreeCycle, cycleType_inv]
#align equiv.perm.is_three_cycle.inv Equiv.Perm.IsThreeCycle.inv
@[simp]
theorem inv_iff {f : Perm α} : IsThreeCycle f⁻¹ ↔ IsThreeCycle f :=
⟨by
rw [← inv_inv f]
apply inv, inv⟩
#align equiv.perm.is_three_cycle.inv_iff Equiv.Perm.IsThreeCycle.inv_iff
| Mathlib/GroupTheory/Perm/Cycle/Type.lean | 628 | 629 | theorem orderOf {g : Perm α} (ht : IsThreeCycle g) : orderOf g = 3 := by |
rw [← lcm_cycleType, ht.cycleType, Multiset.lcm_singleton, normalize_eq]
|
/-
Copyright (c) 2022 Michael Stoll. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Stoll
-/
import Mathlib.Algebra.CharP.Basic
import Mathlib.Data.Fintype.Units
import Mathlib.GroupTheory.OrderOfElement
#align_import number_theory.legendre_symbol.mul_character from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
/-!
# Multiplicative characters of finite rings and fields
Let `R` and `R'` be a commutative rings.
A *multiplicative character* of `R` with values in `R'` is a morphism of
monoids from the multiplicative monoid of `R` into that of `R'`
that sends non-units to zero.
We use the namespace `MulChar` for the definitions and results.
## Main results
We show that the multiplicative characters form a group (if `R'` is commutative);
see `MulChar.commGroup`. We also provide an equivalence with the
homomorphisms `Rˣ →* R'ˣ`; see `MulChar.equivToUnitHom`.
We define a multiplicative character to be *quadratic* if its values
are among `0`, `1` and `-1`, and we prove some properties of quadratic characters.
Finally, we show that the sum of all values of a nontrivial multiplicative
character vanishes; see `MulChar.IsNontrivial.sum_eq_zero`.
## Tags
multiplicative character
-/
/-!
### Definitions related to multiplicative characters
Even though the intended use is when domain and target of the characters
are commutative rings, we define them in the more general setting when
the domain is a commutative monoid and the target is a commutative monoid
with zero. (We need a zero in the target, since non-units are supposed
to map to zero.)
In this setting, there is an equivalence between multiplicative characters
`R → R'` and group homomorphisms `Rˣ → R'ˣ`, and the multiplicative characters
have a natural structure as a commutative group.
-/
section Defi
-- The domain of our multiplicative characters
variable (R : Type*) [CommMonoid R]
-- The target
variable (R' : Type*) [CommMonoidWithZero R']
/-- Define a structure for multiplicative characters.
A multiplicative character from a commutative monoid `R` to a commutative monoid with zero `R'`
is a homomorphism of (multiplicative) monoids that sends non-units to zero. -/
structure MulChar extends MonoidHom R R' where
map_nonunit' : ∀ a : R, ¬IsUnit a → toFun a = 0
#align mul_char MulChar
instance MulChar.instFunLike : FunLike (MulChar R R') R R' :=
⟨fun χ => χ.toFun,
fun χ₀ χ₁ h => by cases χ₀; cases χ₁; congr; apply MonoidHom.ext (fun _ => congr_fun h _)⟩
/-- This is the corresponding extension of `MonoidHomClass`. -/
class MulCharClass (F : Type*) (R R' : outParam Type*) [CommMonoid R]
[CommMonoidWithZero R'] [FunLike F R R'] extends MonoidHomClass F R R' : Prop where
map_nonunit : ∀ (χ : F) {a : R} (_ : ¬IsUnit a), χ a = 0
#align mul_char_class MulCharClass
initialize_simps_projections MulChar (toFun → apply, -toMonoidHom)
attribute [simp] MulCharClass.map_nonunit
end Defi
namespace MulChar
section Group
-- The domain of our multiplicative characters
variable {R : Type*} [CommMonoid R]
-- The target
variable {R' : Type*} [CommMonoidWithZero R']
variable (R R') in
/-- The trivial multiplicative character. It takes the value `0` on non-units and
the value `1` on units. -/
@[simps]
noncomputable def trivial : MulChar R R' where
toFun := by classical exact fun x => if IsUnit x then 1 else 0
map_nonunit' := by
intro a ha
simp only [ha, if_false]
map_one' := by simp only [isUnit_one, if_true]
map_mul' := by
intro x y
classical
simp only [IsUnit.mul_iff, boole_mul]
split_ifs <;> tauto
#align mul_char.trivial MulChar.trivial
@[simp]
theorem coe_mk (f : R →* R') (hf) : (MulChar.mk f hf : R → R') = f :=
rfl
#align mul_char.coe_mk MulChar.coe_mk
/-- Extensionality. See `ext` below for the version that will actually be used. -/
theorem ext' {χ χ' : MulChar R R'} (h : ∀ a, χ a = χ' a) : χ = χ' := by
cases χ
cases χ'
congr
exact MonoidHom.ext h
#align mul_char.ext' MulChar.ext'
instance : MulCharClass (MulChar R R') R R' where
map_mul χ := χ.map_mul'
map_one χ := χ.map_one'
map_nonunit χ := χ.map_nonunit' _
theorem map_nonunit (χ : MulChar R R') {a : R} (ha : ¬IsUnit a) : χ a = 0 :=
χ.map_nonunit' a ha
#align mul_char.map_nonunit MulChar.map_nonunit
/-- Extensionality. Since `MulChar`s always take the value zero on non-units, it is sufficient
to compare the values on units. -/
@[ext]
theorem ext {χ χ' : MulChar R R'} (h : ∀ a : Rˣ, χ a = χ' a) : χ = χ' := by
apply ext'
intro a
by_cases ha : IsUnit a
· exact h ha.unit
· rw [map_nonunit χ ha, map_nonunit χ' ha]
#align mul_char.ext MulChar.ext
theorem ext_iff {χ χ' : MulChar R R'} : χ = χ' ↔ ∀ a : Rˣ, χ a = χ' a :=
⟨by
rintro rfl a
rfl, ext⟩
#align mul_char.ext_iff MulChar.ext_iff
/-!
### Equivalence of multiplicative characters with homomorphisms on units
We show that restriction / extension by zero gives an equivalence
between `MulChar R R'` and `Rˣ →* R'ˣ`.
-/
/-- Turn a `MulChar` into a homomorphism between the unit groups. -/
def toUnitHom (χ : MulChar R R') : Rˣ →* R'ˣ :=
Units.map χ
#align mul_char.to_unit_hom MulChar.toUnitHom
theorem coe_toUnitHom (χ : MulChar R R') (a : Rˣ) : ↑(χ.toUnitHom a) = χ a :=
rfl
#align mul_char.coe_to_unit_hom MulChar.coe_toUnitHom
/-- Turn a homomorphism between unit groups into a `MulChar`. -/
noncomputable def ofUnitHom (f : Rˣ →* R'ˣ) : MulChar R R' where
toFun := by classical exact fun x => if hx : IsUnit x then f hx.unit else 0
map_one' := by
have h1 : (isUnit_one.unit : Rˣ) = 1 := Units.eq_iff.mp rfl
simp only [h1, dif_pos, Units.val_eq_one, map_one, isUnit_one]
map_mul' := by
classical
intro x y
by_cases hx : IsUnit x
· simp only [hx, IsUnit.mul_iff, true_and_iff, dif_pos]
by_cases hy : IsUnit y
· simp only [hy, dif_pos]
have hm : (IsUnit.mul_iff.mpr ⟨hx, hy⟩).unit = hx.unit * hy.unit := Units.eq_iff.mp rfl
rw [hm, map_mul]
norm_cast
· simp only [hy, not_false_iff, dif_neg, mul_zero]
· simp only [hx, IsUnit.mul_iff, false_and_iff, not_false_iff, dif_neg, zero_mul]
map_nonunit' := by
intro a ha
simp only [ha, not_false_iff, dif_neg]
#align mul_char.of_unit_hom MulChar.ofUnitHom
theorem ofUnitHom_coe (f : Rˣ →* R'ˣ) (a : Rˣ) : ofUnitHom f ↑a = f a := by simp [ofUnitHom]
#align mul_char.of_unit_hom_coe MulChar.ofUnitHom_coe
/-- The equivalence between multiplicative characters and homomorphisms of unit groups. -/
noncomputable def equivToUnitHom : MulChar R R' ≃ (Rˣ →* R'ˣ) where
toFun := toUnitHom
invFun := ofUnitHom
left_inv := by
intro χ
ext x
rw [ofUnitHom_coe, coe_toUnitHom]
right_inv := by
intro f
ext x
simp only [coe_toUnitHom, ofUnitHom_coe]
#align mul_char.equiv_to_unit_hom MulChar.equivToUnitHom
@[simp]
theorem toUnitHom_eq (χ : MulChar R R') : toUnitHom χ = equivToUnitHom χ :=
rfl
#align mul_char.to_unit_hom_eq MulChar.toUnitHom_eq
@[simp]
theorem ofUnitHom_eq (χ : Rˣ →* R'ˣ) : ofUnitHom χ = equivToUnitHom.symm χ :=
rfl
#align mul_char.of_unit_hom_eq MulChar.ofUnitHom_eq
@[simp]
theorem coe_equivToUnitHom (χ : MulChar R R') (a : Rˣ) : ↑(equivToUnitHom χ a) = χ a :=
coe_toUnitHom χ a
#align mul_char.coe_equiv_to_unit_hom MulChar.coe_equivToUnitHom
@[simp]
theorem equivToUnitHom_symm_coe (f : Rˣ →* R'ˣ) (a : Rˣ) : equivToUnitHom.symm f ↑a = f a :=
ofUnitHom_coe f a
#align mul_char.equiv_unit_hom_symm_coe MulChar.equivToUnitHom_symm_coe
@[simp]
lemma coe_toMonoidHom [CommMonoid R] (χ : MulChar R R')
(x : R) : χ.toMonoidHom x = χ x := rfl
/-!
### Commutative group structure on multiplicative characters
The multiplicative characters `R → R'` form a commutative group.
-/
protected theorem map_one (χ : MulChar R R') : χ (1 : R) = 1 :=
χ.map_one'
#align mul_char.map_one MulChar.map_one
/-- If the domain has a zero (and is nontrivial), then `χ 0 = 0`. -/
protected theorem map_zero {R : Type*} [CommMonoidWithZero R] [Nontrivial R] (χ : MulChar R R') :
χ (0 : R) = 0 := by rw [map_nonunit χ not_isUnit_zero]
#align mul_char.map_zero MulChar.map_zero
/-- We can convert a multiplicative character into a homomorphism of monoids with zero when
the source has a zero and another element. -/
@[coe, simps]
def toMonoidWithZeroHom {R : Type*} [CommMonoidWithZero R] [Nontrivial R] (χ : MulChar R R') :
R →*₀ R' where
toFun := χ.toFun
map_zero' := χ.map_zero
map_one' := χ.map_one'
map_mul' := χ.map_mul'
/-- If the domain is a ring `R`, then `χ (ringChar R) = 0`. -/
theorem map_ringChar {R : Type*} [CommRing R] [Nontrivial R] (χ : MulChar R R') :
χ (ringChar R) = 0 := by rw [ringChar.Nat.cast_ringChar, χ.map_zero]
#align mul_char.map_ring_char MulChar.map_ringChar
noncomputable instance hasOne : One (MulChar R R') :=
⟨trivial R R'⟩
#align mul_char.has_one MulChar.hasOne
noncomputable instance inhabited : Inhabited (MulChar R R') :=
⟨1⟩
#align mul_char.inhabited MulChar.inhabited
/-- Evaluation of the trivial character -/
@[simp]
theorem one_apply_coe (a : Rˣ) : (1 : MulChar R R') a = 1 := by classical exact dif_pos a.isUnit
#align mul_char.one_apply_coe MulChar.one_apply_coe
/-- Evaluation of the trivial character -/
lemma one_apply {x : R} (hx : IsUnit x) : (1 : MulChar R R') x = 1 := one_apply_coe hx.unit
/-- Multiplication of multiplicative characters. (This needs the target to be commutative.) -/
def mul (χ χ' : MulChar R R') : MulChar R R' :=
{ χ.toMonoidHom * χ'.toMonoidHom with
toFun := χ * χ'
map_nonunit' := fun a ha => by simp only [map_nonunit χ ha, zero_mul, Pi.mul_apply] }
#align mul_char.mul MulChar.mul
instance hasMul : Mul (MulChar R R') :=
⟨mul⟩
#align mul_char.has_mul MulChar.hasMul
theorem mul_apply (χ χ' : MulChar R R') (a : R) : (χ * χ') a = χ a * χ' a :=
rfl
#align mul_char.mul_apply MulChar.mul_apply
@[simp]
theorem coeToFun_mul (χ χ' : MulChar R R') : ⇑(χ * χ') = χ * χ' :=
rfl
#align mul_char.coe_to_fun_mul MulChar.coeToFun_mul
protected theorem one_mul (χ : MulChar R R') : (1 : MulChar R R') * χ = χ := by
ext
simp only [one_mul, Pi.mul_apply, MulChar.coeToFun_mul, MulChar.one_apply_coe]
#align mul_char.one_mul MulChar.one_mul
protected theorem mul_one (χ : MulChar R R') : χ * 1 = χ := by
ext
simp only [mul_one, Pi.mul_apply, MulChar.coeToFun_mul, MulChar.one_apply_coe]
#align mul_char.mul_one MulChar.mul_one
/-- The inverse of a multiplicative character. We define it as `inverse ∘ χ`. -/
noncomputable def inv (χ : MulChar R R') : MulChar R R' :=
{ MonoidWithZero.inverse.toMonoidHom.comp χ.toMonoidHom with
toFun := fun a => MonoidWithZero.inverse (χ a)
map_nonunit' := fun a ha => by simp [map_nonunit _ ha] }
#align mul_char.inv MulChar.inv
noncomputable instance hasInv : Inv (MulChar R R') :=
⟨inv⟩
#align mul_char.has_inv MulChar.hasInv
/-- The inverse of a multiplicative character `χ`, applied to `a`, is the inverse of `χ a`. -/
theorem inv_apply_eq_inv (χ : MulChar R R') (a : R) : χ⁻¹ a = Ring.inverse (χ a) :=
Eq.refl <| inv χ a
#align mul_char.inv_apply_eq_inv MulChar.inv_apply_eq_inv
/-- The inverse of a multiplicative character `χ`, applied to `a`, is the inverse of `χ a`.
Variant when the target is a field -/
theorem inv_apply_eq_inv' {R' : Type*} [Field R'] (χ : MulChar R R') (a : R) : χ⁻¹ a = (χ a)⁻¹ :=
(inv_apply_eq_inv χ a).trans <| Ring.inverse_eq_inv (χ a)
#align mul_char.inv_apply_eq_inv' MulChar.inv_apply_eq_inv'
/-- When the domain has a zero, then the inverse of a multiplicative character `χ`,
applied to `a`, is `χ` applied to the inverse of `a`. -/
theorem inv_apply {R : Type*} [CommMonoidWithZero R] (χ : MulChar R R') (a : R) :
χ⁻¹ a = χ (Ring.inverse a) := by
by_cases ha : IsUnit a
· rw [inv_apply_eq_inv]
have h := IsUnit.map χ ha
apply_fun (χ a * ·) using IsUnit.mul_right_injective h
dsimp only
rw [Ring.mul_inverse_cancel _ h, ← map_mul, Ring.mul_inverse_cancel _ ha, map_one]
· revert ha
nontriviality R
intro ha
-- `nontriviality R` by itself doesn't do it
rw [map_nonunit _ ha, Ring.inverse_non_unit a ha, MulChar.map_zero χ]
#align mul_char.inv_apply MulChar.inv_apply
/-- When the domain has a zero, then the inverse of a multiplicative character `χ`,
applied to `a`, is `χ` applied to the inverse of `a`. -/
theorem inv_apply' {R : Type*} [Field R] (χ : MulChar R R') (a : R) : χ⁻¹ a = χ a⁻¹ :=
(inv_apply χ a).trans <| congr_arg _ (Ring.inverse_eq_inv a)
#align mul_char.inv_apply' MulChar.inv_apply'
/-- The product of a character with its inverse is the trivial character. -/
-- Porting note (#10618): @[simp] can prove this (later)
theorem inv_mul (χ : MulChar R R') : χ⁻¹ * χ = 1 := by
ext x
rw [coeToFun_mul, Pi.mul_apply, inv_apply_eq_inv]
simp only [Ring.inverse_mul_cancel _ (IsUnit.map χ x.isUnit)]
rw [one_apply_coe]
#align mul_char.inv_mul MulChar.inv_mul
/-- The commutative group structure on `MulChar R R'`. -/
noncomputable instance commGroup : CommGroup (MulChar R R') :=
{ one := 1
mul := (· * ·)
inv := Inv.inv
mul_left_inv := inv_mul
mul_assoc := by
intro χ₁ χ₂ χ₃
ext a
simp only [mul_assoc, Pi.mul_apply, MulChar.coeToFun_mul]
mul_comm := by
intro χ₁ χ₂
ext a
simp only [mul_comm, Pi.mul_apply, MulChar.coeToFun_mul]
one_mul := MulChar.one_mul
mul_one := MulChar.mul_one }
#align mul_char.comm_group MulChar.commGroup
/-- If `a` is a unit and `n : ℕ`, then `(χ ^ n) a = (χ a) ^ n`. -/
theorem pow_apply_coe (χ : MulChar R R') (n : ℕ) (a : Rˣ) : (χ ^ n) a = χ a ^ n := by
induction' n with n ih
· rw [pow_zero, pow_zero, one_apply_coe]
· rw [pow_succ, pow_succ, mul_apply, ih]
#align mul_char.pow_apply_coe MulChar.pow_apply_coe
/-- If `n` is positive, then `(χ ^ n) a = (χ a) ^ n`. -/
theorem pow_apply' (χ : MulChar R R') {n : ℕ} (hn : n ≠ 0) (a : R) : (χ ^ n) a = χ a ^ n := by
by_cases ha : IsUnit a
· exact pow_apply_coe χ n ha.unit
· rw [map_nonunit (χ ^ n) ha, map_nonunit χ ha, zero_pow hn]
#align mul_char.pow_apply' MulChar.pow_apply'
lemma equivToUnitHom_mul_apply (χ₁ χ₂ : MulChar R R') (a : Rˣ) :
equivToUnitHom (χ₁ * χ₂) a = equivToUnitHom χ₁ a * equivToUnitHom χ₂ a := by
apply_fun ((↑) : R'ˣ → R') using Units.ext
push_cast
simp_rw [coe_equivToUnitHom]
rfl
/-- The equivalence between multiplicative characters and homomorphisms of unit groups
as a multiplicative equivalence. -/
noncomputable
def mulEquivToUnitHom : MulChar R R' ≃* (Rˣ →* R'ˣ) :=
{ equivToUnitHom with
map_mul' := by
intro χ ψ
ext
simp only [Equiv.toFun_as_coe, coe_equivToUnitHom, coeToFun_mul, Pi.mul_apply,
MonoidHom.mul_apply, Units.val_mul]
}
end Group
/-!
### Properties of multiplicative characters
We introduce the properties of being nontrivial or quadratic and prove
some basic facts about them.
We now (mostly) assume that the target is a commutative ring.
-/
section Properties
section nontrivial
variable {R : Type*} [CommMonoid R] {R' : Type*} [CommMonoidWithZero R']
/-- A multiplicative character is *nontrivial* if it takes a value `≠ 1` on a unit. -/
def IsNontrivial (χ : MulChar R R') : Prop :=
∃ a : Rˣ, χ a ≠ 1
#align mul_char.is_nontrivial MulChar.IsNontrivial
/-- A multiplicative character is nontrivial iff it is not the trivial character. -/
theorem isNontrivial_iff (χ : MulChar R R') : χ.IsNontrivial ↔ χ ≠ 1 := by
simp only [IsNontrivial, Ne, ext_iff, not_forall, one_apply_coe]
#align mul_char.is_nontrivial_iff MulChar.isNontrivial_iff
end nontrivial
section quadratic_and_comp
variable {R : Type*} [CommMonoid R] {R' : Type*} [CommRing R'] {R'' : Type*} [CommRing R'']
/-- A multiplicative character is *quadratic* if it takes only the values `0`, `1`, `-1`. -/
def IsQuadratic (χ : MulChar R R') : Prop :=
∀ a, χ a = 0 ∨ χ a = 1 ∨ χ a = -1
#align mul_char.is_quadratic MulChar.IsQuadratic
/-- If two values of quadratic characters with target `ℤ` agree after coercion into a ring
of characteristic not `2`, then they agree in `ℤ`. -/
theorem IsQuadratic.eq_of_eq_coe {χ : MulChar R ℤ} (hχ : IsQuadratic χ) {χ' : MulChar R' ℤ}
(hχ' : IsQuadratic χ') [Nontrivial R''] (hR'' : ringChar R'' ≠ 2) {a : R} {a' : R'}
(h : (χ a : R'') = χ' a') : χ a = χ' a' :=
Int.cast_injOn_of_ringChar_ne_two hR'' (hχ a) (hχ' a') h
#align mul_char.is_quadratic.eq_of_eq_coe MulChar.IsQuadratic.eq_of_eq_coe
/-- We can post-compose a multiplicative character with a ring homomorphism. -/
@[simps]
def ringHomComp (χ : MulChar R R') (f : R' →+* R'') : MulChar R R'' :=
{ f.toMonoidHom.comp χ.toMonoidHom with
toFun := fun a => f (χ a)
map_nonunit' := fun a ha => by simp only [map_nonunit χ ha, map_zero] }
#align mul_char.ring_hom_comp MulChar.ringHomComp
/-- Composition with an injective ring homomorphism preserves nontriviality. -/
theorem IsNontrivial.comp {χ : MulChar R R'} (hχ : χ.IsNontrivial) {f : R' →+* R''}
(hf : Function.Injective f) : (χ.ringHomComp f).IsNontrivial := by
obtain ⟨a, ha⟩ := hχ
use a
simp_rw [ringHomComp_apply, ← RingHom.map_one f]
exact fun h => ha (hf h)
#align mul_char.is_nontrivial.comp MulChar.IsNontrivial.comp
/-- Composition with a ring homomorphism preserves the property of being a quadratic character. -/
theorem IsQuadratic.comp {χ : MulChar R R'} (hχ : χ.IsQuadratic) (f : R' →+* R'') :
(χ.ringHomComp f).IsQuadratic := by
intro a
rcases hχ a with (ha | ha | ha) <;> simp [ha]
#align mul_char.is_quadratic.comp MulChar.IsQuadratic.comp
/-- The inverse of a quadratic character is itself. → -/
theorem IsQuadratic.inv {χ : MulChar R R'} (hχ : χ.IsQuadratic) : χ⁻¹ = χ := by
ext x
rw [inv_apply_eq_inv]
rcases hχ x with (h₀ | h₁ | h₂)
· rw [h₀, Ring.inverse_zero]
· rw [h₁, Ring.inverse_one]
· -- Porting note: was `by norm_cast`
have : (-1 : R') = (-1 : R'ˣ) := by rw [Units.val_neg, Units.val_one]
rw [h₂, this, Ring.inverse_unit (-1 : R'ˣ)]
rfl
#align mul_char.is_quadratic.inv MulChar.IsQuadratic.inv
/-- The square of a quadratic character is the trivial character. -/
| Mathlib/NumberTheory/MulChar/Basic.lean | 501 | 502 | theorem IsQuadratic.sq_eq_one {χ : MulChar R R'} (hχ : χ.IsQuadratic) : χ ^ 2 = 1 := by |
rw [← mul_left_inv χ, pow_two, hχ.inv]
|
/-
Copyright (c) 2014 Robert Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Lewis, Leonardo de Moura, Mario Carneiro, Floris van Doorn
-/
import Mathlib.Algebra.Field.Basic
import Mathlib.Algebra.GroupWithZero.Units.Equiv
import Mathlib.Algebra.Order.Field.Defs
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Order.Bounds.OrderIso
import Mathlib.Tactic.Positivity.Core
#align_import algebra.order.field.basic from "leanprover-community/mathlib"@"84771a9f5f0bd5e5d6218811556508ddf476dcbd"
/-!
# Lemmas about linear ordered (semi)fields
-/
open Function OrderDual
variable {ι α β : Type*}
section LinearOrderedSemifield
variable [LinearOrderedSemifield α] {a b c d e : α} {m n : ℤ}
/-- `Equiv.mulLeft₀` as an order_iso. -/
@[simps! (config := { simpRhs := true })]
def OrderIso.mulLeft₀ (a : α) (ha : 0 < a) : α ≃o α :=
{ Equiv.mulLeft₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_left ha }
#align order_iso.mul_left₀ OrderIso.mulLeft₀
#align order_iso.mul_left₀_symm_apply OrderIso.mulLeft₀_symm_apply
#align order_iso.mul_left₀_apply OrderIso.mulLeft₀_apply
/-- `Equiv.mulRight₀` as an order_iso. -/
@[simps! (config := { simpRhs := true })]
def OrderIso.mulRight₀ (a : α) (ha : 0 < a) : α ≃o α :=
{ Equiv.mulRight₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_right ha }
#align order_iso.mul_right₀ OrderIso.mulRight₀
#align order_iso.mul_right₀_symm_apply OrderIso.mulRight₀_symm_apply
#align order_iso.mul_right₀_apply OrderIso.mulRight₀_apply
/-!
### Relating one division with another term.
-/
theorem le_div_iff (hc : 0 < c) : a ≤ b / c ↔ a * c ≤ b :=
⟨fun h => div_mul_cancel₀ b (ne_of_lt hc).symm ▸ mul_le_mul_of_nonneg_right h hc.le, fun h =>
calc
a = a * c * (1 / c) := mul_mul_div a (ne_of_lt hc).symm
_ ≤ b * (1 / c) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hc).le
_ = b / c := (div_eq_mul_one_div b c).symm
⟩
#align le_div_iff le_div_iff
theorem le_div_iff' (hc : 0 < c) : a ≤ b / c ↔ c * a ≤ b := by rw [mul_comm, le_div_iff hc]
#align le_div_iff' le_div_iff'
theorem div_le_iff (hb : 0 < b) : a / b ≤ c ↔ a ≤ c * b :=
⟨fun h =>
calc
a = a / b * b := by rw [div_mul_cancel₀ _ (ne_of_lt hb).symm]
_ ≤ c * b := mul_le_mul_of_nonneg_right h hb.le
,
fun h =>
calc
a / b = a * (1 / b) := div_eq_mul_one_div a b
_ ≤ c * b * (1 / b) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hb).le
_ = c * b / b := (div_eq_mul_one_div (c * b) b).symm
_ = c := by refine (div_eq_iff (ne_of_gt hb)).mpr rfl
⟩
#align div_le_iff div_le_iff
theorem div_le_iff' (hb : 0 < b) : a / b ≤ c ↔ a ≤ b * c := by rw [mul_comm, div_le_iff hb]
#align div_le_iff' div_le_iff'
lemma div_le_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b ≤ c ↔ a / c ≤ b := by
rw [div_le_iff hb, div_le_iff' hc]
theorem lt_div_iff (hc : 0 < c) : a < b / c ↔ a * c < b :=
lt_iff_lt_of_le_iff_le <| div_le_iff hc
#align lt_div_iff lt_div_iff
theorem lt_div_iff' (hc : 0 < c) : a < b / c ↔ c * a < b := by rw [mul_comm, lt_div_iff hc]
#align lt_div_iff' lt_div_iff'
theorem div_lt_iff (hc : 0 < c) : b / c < a ↔ b < a * c :=
lt_iff_lt_of_le_iff_le (le_div_iff hc)
#align div_lt_iff div_lt_iff
theorem div_lt_iff' (hc : 0 < c) : b / c < a ↔ b < c * a := by rw [mul_comm, div_lt_iff hc]
#align div_lt_iff' div_lt_iff'
lemma div_lt_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b < c ↔ a / c < b := by
rw [div_lt_iff hb, div_lt_iff' hc]
theorem inv_mul_le_iff (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ b * c := by
rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div]
exact div_le_iff' h
#align inv_mul_le_iff inv_mul_le_iff
theorem inv_mul_le_iff' (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ c * b := by rw [inv_mul_le_iff h, mul_comm]
#align inv_mul_le_iff' inv_mul_le_iff'
theorem mul_inv_le_iff (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ b * c := by rw [mul_comm, inv_mul_le_iff h]
#align mul_inv_le_iff mul_inv_le_iff
theorem mul_inv_le_iff' (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ c * b := by rw [mul_comm, inv_mul_le_iff' h]
#align mul_inv_le_iff' mul_inv_le_iff'
theorem div_self_le_one (a : α) : a / a ≤ 1 :=
if h : a = 0 then by simp [h] else by simp [h]
#align div_self_le_one div_self_le_one
theorem inv_mul_lt_iff (h : 0 < b) : b⁻¹ * a < c ↔ a < b * c := by
rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div]
exact div_lt_iff' h
#align inv_mul_lt_iff inv_mul_lt_iff
theorem inv_mul_lt_iff' (h : 0 < b) : b⁻¹ * a < c ↔ a < c * b := by rw [inv_mul_lt_iff h, mul_comm]
#align inv_mul_lt_iff' inv_mul_lt_iff'
theorem mul_inv_lt_iff (h : 0 < b) : a * b⁻¹ < c ↔ a < b * c := by rw [mul_comm, inv_mul_lt_iff h]
#align mul_inv_lt_iff mul_inv_lt_iff
theorem mul_inv_lt_iff' (h : 0 < b) : a * b⁻¹ < c ↔ a < c * b := by rw [mul_comm, inv_mul_lt_iff' h]
#align mul_inv_lt_iff' mul_inv_lt_iff'
theorem inv_pos_le_iff_one_le_mul (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ b * a := by
rw [inv_eq_one_div]
exact div_le_iff ha
#align inv_pos_le_iff_one_le_mul inv_pos_le_iff_one_le_mul
theorem inv_pos_le_iff_one_le_mul' (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ a * b := by
rw [inv_eq_one_div]
exact div_le_iff' ha
#align inv_pos_le_iff_one_le_mul' inv_pos_le_iff_one_le_mul'
theorem inv_pos_lt_iff_one_lt_mul (ha : 0 < a) : a⁻¹ < b ↔ 1 < b * a := by
rw [inv_eq_one_div]
exact div_lt_iff ha
#align inv_pos_lt_iff_one_lt_mul inv_pos_lt_iff_one_lt_mul
theorem inv_pos_lt_iff_one_lt_mul' (ha : 0 < a) : a⁻¹ < b ↔ 1 < a * b := by
rw [inv_eq_one_div]
exact div_lt_iff' ha
#align inv_pos_lt_iff_one_lt_mul' inv_pos_lt_iff_one_lt_mul'
/-- One direction of `div_le_iff` where `b` is allowed to be `0` (but `c` must be nonnegative) -/
theorem div_le_of_nonneg_of_le_mul (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ c * b) : a / b ≤ c := by
rcases eq_or_lt_of_le hb with (rfl | hb')
· simp only [div_zero, hc]
· rwa [div_le_iff hb']
#align div_le_of_nonneg_of_le_mul div_le_of_nonneg_of_le_mul
/-- One direction of `div_le_iff` where `c` is allowed to be `0` (but `b` must be nonnegative) -/
lemma mul_le_of_nonneg_of_le_div (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ b / c) : a * c ≤ b := by
obtain rfl | hc := hc.eq_or_lt
· simpa using hb
· rwa [le_div_iff hc] at h
#align mul_le_of_nonneg_of_le_div mul_le_of_nonneg_of_le_div
theorem div_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a / b ≤ 1 :=
div_le_of_nonneg_of_le_mul hb zero_le_one <| by rwa [one_mul]
#align div_le_one_of_le div_le_one_of_le
lemma mul_inv_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a * b⁻¹ ≤ 1 := by
simpa only [← div_eq_mul_inv] using div_le_one_of_le h hb
lemma inv_mul_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : b⁻¹ * a ≤ 1 := by
simpa only [← div_eq_inv_mul] using div_le_one_of_le h hb
/-!
### Bi-implications of inequalities using inversions
-/
@[gcongr]
theorem inv_le_inv_of_le (ha : 0 < a) (h : a ≤ b) : b⁻¹ ≤ a⁻¹ := by
rwa [← one_div a, le_div_iff' ha, ← div_eq_mul_inv, div_le_iff (ha.trans_le h), one_mul]
#align inv_le_inv_of_le inv_le_inv_of_le
/-- See `inv_le_inv_of_le` for the implication from right-to-left with one fewer assumption. -/
theorem inv_le_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b⁻¹ ↔ b ≤ a := by
rw [← one_div, div_le_iff ha, ← div_eq_inv_mul, le_div_iff hb, one_mul]
#align inv_le_inv inv_le_inv
/-- In a linear ordered field, for positive `a` and `b` we have `a⁻¹ ≤ b ↔ b⁻¹ ≤ a`.
See also `inv_le_of_inv_le` for a one-sided implication with one fewer assumption. -/
theorem inv_le (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b ↔ b⁻¹ ≤ a := by
rw [← inv_le_inv hb (inv_pos.2 ha), inv_inv]
#align inv_le inv_le
theorem inv_le_of_inv_le (ha : 0 < a) (h : a⁻¹ ≤ b) : b⁻¹ ≤ a :=
(inv_le ha ((inv_pos.2 ha).trans_le h)).1 h
#align inv_le_of_inv_le inv_le_of_inv_le
theorem le_inv (ha : 0 < a) (hb : 0 < b) : a ≤ b⁻¹ ↔ b ≤ a⁻¹ := by
rw [← inv_le_inv (inv_pos.2 hb) ha, inv_inv]
#align le_inv le_inv
/-- See `inv_lt_inv_of_lt` for the implication from right-to-left with one fewer assumption. -/
theorem inv_lt_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b⁻¹ ↔ b < a :=
lt_iff_lt_of_le_iff_le (inv_le_inv hb ha)
#align inv_lt_inv inv_lt_inv
@[gcongr]
theorem inv_lt_inv_of_lt (hb : 0 < b) (h : b < a) : a⁻¹ < b⁻¹ :=
(inv_lt_inv (hb.trans h) hb).2 h
#align inv_lt_inv_of_lt inv_lt_inv_of_lt
/-- In a linear ordered field, for positive `a` and `b` we have `a⁻¹ < b ↔ b⁻¹ < a`.
See also `inv_lt_of_inv_lt` for a one-sided implication with one fewer assumption. -/
theorem inv_lt (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b ↔ b⁻¹ < a :=
lt_iff_lt_of_le_iff_le (le_inv hb ha)
#align inv_lt inv_lt
theorem inv_lt_of_inv_lt (ha : 0 < a) (h : a⁻¹ < b) : b⁻¹ < a :=
(inv_lt ha ((inv_pos.2 ha).trans h)).1 h
#align inv_lt_of_inv_lt inv_lt_of_inv_lt
theorem lt_inv (ha : 0 < a) (hb : 0 < b) : a < b⁻¹ ↔ b < a⁻¹ :=
lt_iff_lt_of_le_iff_le (inv_le hb ha)
#align lt_inv lt_inv
theorem inv_lt_one (ha : 1 < a) : a⁻¹ < 1 := by
rwa [inv_lt (zero_lt_one.trans ha) zero_lt_one, inv_one]
#align inv_lt_one inv_lt_one
theorem one_lt_inv (h₁ : 0 < a) (h₂ : a < 1) : 1 < a⁻¹ := by
rwa [lt_inv (@zero_lt_one α _ _ _ _ _) h₁, inv_one]
#align one_lt_inv one_lt_inv
theorem inv_le_one (ha : 1 ≤ a) : a⁻¹ ≤ 1 := by
rwa [inv_le (zero_lt_one.trans_le ha) zero_lt_one, inv_one]
#align inv_le_one inv_le_one
theorem one_le_inv (h₁ : 0 < a) (h₂ : a ≤ 1) : 1 ≤ a⁻¹ := by
rwa [le_inv (@zero_lt_one α _ _ _ _ _) h₁, inv_one]
#align one_le_inv one_le_inv
theorem inv_lt_one_iff_of_pos (h₀ : 0 < a) : a⁻¹ < 1 ↔ 1 < a :=
⟨fun h₁ => inv_inv a ▸ one_lt_inv (inv_pos.2 h₀) h₁, inv_lt_one⟩
#align inv_lt_one_iff_of_pos inv_lt_one_iff_of_pos
theorem inv_lt_one_iff : a⁻¹ < 1 ↔ a ≤ 0 ∨ 1 < a := by
rcases le_or_lt a 0 with ha | ha
· simp [ha, (inv_nonpos.2 ha).trans_lt zero_lt_one]
· simp only [ha.not_le, false_or_iff, inv_lt_one_iff_of_pos ha]
#align inv_lt_one_iff inv_lt_one_iff
theorem one_lt_inv_iff : 1 < a⁻¹ ↔ 0 < a ∧ a < 1 :=
⟨fun h => ⟨inv_pos.1 (zero_lt_one.trans h), inv_inv a ▸ inv_lt_one h⟩, and_imp.2 one_lt_inv⟩
#align one_lt_inv_iff one_lt_inv_iff
theorem inv_le_one_iff : a⁻¹ ≤ 1 ↔ a ≤ 0 ∨ 1 ≤ a := by
rcases em (a = 1) with (rfl | ha)
· simp [le_rfl]
· simp only [Ne.le_iff_lt (Ne.symm ha), Ne.le_iff_lt (mt inv_eq_one.1 ha), inv_lt_one_iff]
#align inv_le_one_iff inv_le_one_iff
theorem one_le_inv_iff : 1 ≤ a⁻¹ ↔ 0 < a ∧ a ≤ 1 :=
⟨fun h => ⟨inv_pos.1 (zero_lt_one.trans_le h), inv_inv a ▸ inv_le_one h⟩, and_imp.2 one_le_inv⟩
#align one_le_inv_iff one_le_inv_iff
/-!
### Relating two divisions.
-/
@[mono, gcongr]
lemma div_le_div_of_nonneg_right (hab : a ≤ b) (hc : 0 ≤ c) : a / c ≤ b / c := by
rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c]
exact mul_le_mul_of_nonneg_right hab (one_div_nonneg.2 hc)
#align div_le_div_of_le_of_nonneg div_le_div_of_nonneg_right
@[gcongr]
lemma div_lt_div_of_pos_right (h : a < b) (hc : 0 < c) : a / c < b / c := by
rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c]
exact mul_lt_mul_of_pos_right h (one_div_pos.2 hc)
#align div_lt_div_of_lt div_lt_div_of_pos_right
-- Not a `mono` lemma b/c `div_le_div` is strictly more general
@[gcongr]
lemma div_le_div_of_nonneg_left (ha : 0 ≤ a) (hc : 0 < c) (h : c ≤ b) : a / b ≤ a / c := by
rw [div_eq_mul_inv, div_eq_mul_inv]
exact mul_le_mul_of_nonneg_left ((inv_le_inv (hc.trans_le h) hc).mpr h) ha
#align div_le_div_of_le_left div_le_div_of_nonneg_left
@[gcongr]
lemma div_lt_div_of_pos_left (ha : 0 < a) (hc : 0 < c) (h : c < b) : a / b < a / c := by
simpa only [div_eq_mul_inv, mul_lt_mul_left ha, inv_lt_inv (hc.trans h) hc]
#align div_lt_div_of_lt_left div_lt_div_of_pos_left
-- 2024-02-16
@[deprecated] alias div_le_div_of_le_of_nonneg := div_le_div_of_nonneg_right
@[deprecated] alias div_lt_div_of_lt := div_lt_div_of_pos_right
@[deprecated] alias div_le_div_of_le_left := div_le_div_of_nonneg_left
@[deprecated] alias div_lt_div_of_lt_left := div_lt_div_of_pos_left
@[deprecated div_le_div_of_nonneg_right (since := "2024-02-16")]
lemma div_le_div_of_le (hc : 0 ≤ c) (hab : a ≤ b) : a / c ≤ b / c :=
div_le_div_of_nonneg_right hab hc
#align div_le_div_of_le div_le_div_of_le
theorem div_le_div_right (hc : 0 < c) : a / c ≤ b / c ↔ a ≤ b :=
⟨le_imp_le_of_lt_imp_lt fun hab ↦ div_lt_div_of_pos_right hab hc,
fun hab ↦ div_le_div_of_nonneg_right hab hc.le⟩
#align div_le_div_right div_le_div_right
theorem div_lt_div_right (hc : 0 < c) : a / c < b / c ↔ a < b :=
lt_iff_lt_of_le_iff_le <| div_le_div_right hc
#align div_lt_div_right div_lt_div_right
theorem div_lt_div_left (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) : a / b < a / c ↔ c < b := by
simp only [div_eq_mul_inv, mul_lt_mul_left ha, inv_lt_inv hb hc]
#align div_lt_div_left div_lt_div_left
theorem div_le_div_left (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) : a / b ≤ a / c ↔ c ≤ b :=
le_iff_le_iff_lt_iff_lt.2 (div_lt_div_left ha hc hb)
#align div_le_div_left div_le_div_left
theorem div_lt_div_iff (b0 : 0 < b) (d0 : 0 < d) : a / b < c / d ↔ a * d < c * b := by
rw [lt_div_iff d0, div_mul_eq_mul_div, div_lt_iff b0]
#align div_lt_div_iff div_lt_div_iff
theorem div_le_div_iff (b0 : 0 < b) (d0 : 0 < d) : a / b ≤ c / d ↔ a * d ≤ c * b := by
rw [le_div_iff d0, div_mul_eq_mul_div, div_le_iff b0]
#align div_le_div_iff div_le_div_iff
@[mono, gcongr]
theorem div_le_div (hc : 0 ≤ c) (hac : a ≤ c) (hd : 0 < d) (hbd : d ≤ b) : a / b ≤ c / d := by
rw [div_le_div_iff (hd.trans_le hbd) hd]
exact mul_le_mul hac hbd hd.le hc
#align div_le_div div_le_div
@[gcongr]
theorem div_lt_div (hac : a < c) (hbd : d ≤ b) (c0 : 0 ≤ c) (d0 : 0 < d) : a / b < c / d :=
(div_lt_div_iff (d0.trans_le hbd) d0).2 (mul_lt_mul hac hbd d0 c0)
#align div_lt_div div_lt_div
theorem div_lt_div' (hac : a ≤ c) (hbd : d < b) (c0 : 0 < c) (d0 : 0 < d) : a / b < c / d :=
(div_lt_div_iff (d0.trans hbd) d0).2 (mul_lt_mul' hac hbd d0.le c0)
#align div_lt_div' div_lt_div'
/-!
### Relating one division and involving `1`
-/
theorem div_le_self (ha : 0 ≤ a) (hb : 1 ≤ b) : a / b ≤ a := by
simpa only [div_one] using div_le_div_of_nonneg_left ha zero_lt_one hb
#align div_le_self div_le_self
theorem div_lt_self (ha : 0 < a) (hb : 1 < b) : a / b < a := by
simpa only [div_one] using div_lt_div_of_pos_left ha zero_lt_one hb
#align div_lt_self div_lt_self
theorem le_div_self (ha : 0 ≤ a) (hb₀ : 0 < b) (hb₁ : b ≤ 1) : a ≤ a / b := by
simpa only [div_one] using div_le_div_of_nonneg_left ha hb₀ hb₁
#align le_div_self le_div_self
theorem one_le_div (hb : 0 < b) : 1 ≤ a / b ↔ b ≤ a := by rw [le_div_iff hb, one_mul]
#align one_le_div one_le_div
theorem div_le_one (hb : 0 < b) : a / b ≤ 1 ↔ a ≤ b := by rw [div_le_iff hb, one_mul]
#align div_le_one div_le_one
theorem one_lt_div (hb : 0 < b) : 1 < a / b ↔ b < a := by rw [lt_div_iff hb, one_mul]
#align one_lt_div one_lt_div
| Mathlib/Algebra/Order/Field/Basic.lean | 373 | 373 | theorem div_lt_one (hb : 0 < b) : a / b < 1 ↔ a < b := by | rw [div_lt_iff hb, one_mul]
|
/-
Copyright (c) 2020 Fox Thomson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Fox Thomson
-/
import Mathlib.Computability.DFA
import Mathlib.Data.Fintype.Powerset
#align_import computability.NFA from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514"
/-!
# Nondeterministic Finite Automata
This file contains the definition of a Nondeterministic Finite Automaton (NFA), a state machine
which determines whether a string (implemented as a list over an arbitrary alphabet) is in a regular
set by evaluating the string over every possible path.
We show that DFA's are equivalent to NFA's however the construction from NFA to DFA uses an
exponential number of states.
Note that this definition allows for Automaton with infinite states; a `Fintype` instance must be
supplied for true NFA's.
-/
open Set
open Computability
universe u v
-- Porting note: Required as `NFA` is used in mathlib3
set_option linter.uppercaseLean3 false
/-- An NFA is a set of states (`σ`), a transition function from state to state labelled by the
alphabet (`step`), a set of starting states (`start`) and a set of acceptance states (`accept`).
Note the transition function sends a state to a `Set` of states. These are the states that it
may be sent to. -/
structure NFA (α : Type u) (σ : Type v) where
step : σ → α → Set σ
start : Set σ
accept : Set σ
#align NFA NFA
variable {α : Type u} {σ σ' : Type v} (M : NFA α σ)
namespace NFA
instance : Inhabited (NFA α σ) :=
⟨NFA.mk (fun _ _ => ∅) ∅ ∅⟩
/-- `M.stepSet S a` is the union of `M.step s a` for all `s ∈ S`. -/
def stepSet (S : Set σ) (a : α) : Set σ :=
⋃ s ∈ S, M.step s a
#align NFA.step_set NFA.stepSet
theorem mem_stepSet (s : σ) (S : Set σ) (a : α) : s ∈ M.stepSet S a ↔ ∃ t ∈ S, s ∈ M.step t a := by
simp [stepSet]
#align NFA.mem_step_set NFA.mem_stepSet
@[simp]
theorem stepSet_empty (a : α) : M.stepSet ∅ a = ∅ := by simp [stepSet]
#align NFA.step_set_empty NFA.stepSet_empty
/-- `M.evalFrom S x` computes all possible paths though `M` with input `x` starting at an element
of `S`. -/
def evalFrom (start : Set σ) : List α → Set σ :=
List.foldl M.stepSet start
#align NFA.eval_from NFA.evalFrom
@[simp]
theorem evalFrom_nil (S : Set σ) : M.evalFrom S [] = S :=
rfl
#align NFA.eval_from_nil NFA.evalFrom_nil
@[simp]
theorem evalFrom_singleton (S : Set σ) (a : α) : M.evalFrom S [a] = M.stepSet S a :=
rfl
#align NFA.eval_from_singleton NFA.evalFrom_singleton
@[simp]
| Mathlib/Computability/NFA.lean | 78 | 80 | theorem evalFrom_append_singleton (S : Set σ) (x : List α) (a : α) :
M.evalFrom S (x ++ [a]) = M.stepSet (M.evalFrom S x) a := by |
simp only [evalFrom, List.foldl_append, List.foldl_cons, List.foldl_nil]
|
/-
Copyright (c) 2022 Michael Stoll. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Stoll
-/
import Mathlib.NumberTheory.Cyclotomic.PrimitiveRoots
import Mathlib.FieldTheory.Finite.Trace
import Mathlib.Algebra.Group.AddChar
import Mathlib.Data.ZMod.Units
import Mathlib.Analysis.Complex.Polynomial
#align_import number_theory.legendre_symbol.add_character from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472"
/-!
# Additive characters of finite rings and fields
This file collects some results on additive characters whose domain is (the additive group of)
a finite ring or field.
## Main definitions and results
We define an additive character `ψ` to be *primitive* if `mulShift ψ a` is trivial only when
`a = 0`.
We show that when `ψ` is primitive, then the map `a ↦ mulShift ψ a` is injective
(`AddChar.to_mulShift_inj_of_isPrimitive`) and that `ψ` is primitive when `R` is a field
and `ψ` is nontrivial (`AddChar.IsNontrivial.isPrimitive`).
We also show that there are primitive additive characters on `R` (with suitable
target `R'`) when `R` is a field or `R = ZMod n` (`AddChar.primitiveCharFiniteField`
and `AddChar.primitiveZModChar`).
Finally, we show that the sum of all character values is zero when the character
is nontrivial (and the target is a domain); see `AddChar.sum_eq_zero_of_isNontrivial`.
## Tags
additive character
-/
universe u v
namespace AddChar
section Additive
-- The domain and target of our additive characters. Now we restrict to a ring in the domain.
variable {R : Type u} [CommRing R] {R' : Type v} [CommMonoid R']
/-- The values of an additive character on a ring of positive characteristic are roots of unity. -/
lemma val_mem_rootsOfUnity (φ : AddChar R R') (a : R) (h : 0 < ringChar R) :
(φ.val_isUnit a).unit ∈ rootsOfUnity (ringChar R).toPNat' R' := by
simp only [mem_rootsOfUnity', IsUnit.unit_spec, Nat.toPNat'_coe, h, ↓reduceIte,
← map_nsmul_eq_pow, nsmul_eq_mul, CharP.cast_eq_zero, zero_mul, map_zero_eq_one]
/-- An additive character is *primitive* iff all its multiplicative shifts by nonzero
elements are nontrivial. -/
def IsPrimitive (ψ : AddChar R R') : Prop :=
∀ a : R, a ≠ 0 → IsNontrivial (mulShift ψ a)
#align add_char.is_primitive AddChar.IsPrimitive
/-- The composition of a primitive additive character with an injective mooid homomorphism
is also primitive. -/
lemma IsPrimitive.compMulHom_of_isPrimitive {R'' : Type*} [CommMonoid R''] {φ : AddChar R R'}
{f : R' →* R''} (hφ : φ.IsPrimitive) (hf : Function.Injective f) :
(f.compAddChar φ).IsPrimitive := by
intro a a_ne_zero
obtain ⟨r, ne_one⟩ := hφ a a_ne_zero
rw [mulShift_apply] at ne_one
simp only [IsNontrivial, mulShift_apply, f.coe_compAddChar, Function.comp_apply]
exact ⟨r, fun H ↦ ne_one <| hf <| f.map_one ▸ H⟩
/-- The map associating to `a : R` the multiplicative shift of `ψ` by `a`
is injective when `ψ` is primitive. -/
theorem to_mulShift_inj_of_isPrimitive {ψ : AddChar R R'} (hψ : IsPrimitive ψ) :
Function.Injective ψ.mulShift := by
intro a b h
apply_fun fun x => x * mulShift ψ (-b) at h
simp only [mulShift_mul, mulShift_zero, add_right_neg] at h
have h₂ := hψ (a + -b)
rw [h, isNontrivial_iff_ne_trivial, ← sub_eq_add_neg, sub_ne_zero] at h₂
exact not_not.mp fun h => h₂ h rfl
#align add_char.to_mul_shift_inj_of_is_primitive AddChar.to_mulShift_inj_of_isPrimitive
-- `AddCommGroup.equiv_direct_sum_zmod_of_fintype`
-- gives the structure theorem for finite abelian groups.
-- This could be used to show that the map above is a bijection.
-- We leave this for a later occasion.
/-- When `R` is a field `F`, then a nontrivial additive character is primitive -/
theorem IsNontrivial.isPrimitive {F : Type u} [Field F] {ψ : AddChar F R'} (hψ : IsNontrivial ψ) :
IsPrimitive ψ := by
intro a ha
cases' hψ with x h
use a⁻¹ * x
rwa [mulShift_apply, mul_inv_cancel_left₀ ha]
#align add_char.is_nontrivial.is_primitive AddChar.IsNontrivial.isPrimitive
/-- If `r` is not a unit, then `e.mulShift r` is not primitive. -/
lemma not_isPrimitive_mulShift [Finite R] (e : AddChar R R') {r : R}
(hr : ¬ IsUnit r) : ¬ IsPrimitive (e.mulShift r) := by
simp only [IsPrimitive, not_forall]
simp only [isUnit_iff_mem_nonZeroDivisors_of_finite, mem_nonZeroDivisors_iff, not_forall] at hr
rcases hr with ⟨x, h, h'⟩
exact ⟨x, h', by simp only [mulShift_mulShift, mul_comm r, h, mulShift_zero, not_ne_iff,
isNontrivial_iff_ne_trivial]⟩
/-- Definition for a primitive additive character on a finite ring `R` into a cyclotomic extension
of a field `R'`. It records which cyclotomic extension it is, the character, and the
fact that the character is primitive. -/
-- Porting note(#5171): this linter isn't ported yet.
-- can't prove that they always exist (referring to providing an `Inhabited` instance)
-- @[nolint has_nonempty_instance]
structure PrimitiveAddChar (R : Type u) [CommRing R] (R' : Type v) [Field R'] where
/-- The first projection from `PrimitiveAddChar`, giving the cyclotomic field. -/
n : ℕ+
/-- The second projection from `PrimitiveAddChar`, giving the character. -/
char : AddChar R (CyclotomicField n R')
/-- The third projection from `PrimitiveAddChar`, showing that `χ.char` is primitive. -/
prim : IsPrimitive char
#align add_char.primitive_add_char AddChar.PrimitiveAddChar
#align add_char.primitive_add_char.n AddChar.PrimitiveAddChar.n
#align add_char.primitive_add_char.char AddChar.PrimitiveAddChar.char
#align add_char.primitive_add_char.prim AddChar.PrimitiveAddChar.prim
/-!
### Additive characters on `ZMod n`
-/
section ZMod
variable {N : ℕ+} {R : Type*} [CommRing R] (e : AddChar (ZMod N) R)
/-- If `e` is not primitive, then `e.mulShift d = 1` for some proper divisor `d` of `N`. -/
lemma exists_divisor_of_not_isPrimitive (he : ¬e.IsPrimitive) :
∃ d : ℕ, d ∣ N ∧ d < N ∧ e.mulShift d = 1 := by
simp_rw [IsPrimitive, not_forall, isNontrivial_iff_ne_trivial, not_ne_iff] at he
rcases he with ⟨b, hb_ne, hb⟩
-- We have `AddChar.mulShift e b = 1`, but `b ≠ 0`.
obtain ⟨d, hd, u, hu, rfl⟩ := b.eq_unit_mul_divisor
refine ⟨d, hd, lt_of_le_of_ne (Nat.le_of_dvd N.pos hd) ?_, ?_⟩
· exact fun h ↦ by simp only [h, ZMod.natCast_self, mul_zero, ne_eq, not_true_eq_false] at hb_ne
· rw [← mulShift_unit_eq_one_iff _ hu, ← hb, mul_comm]
ext1 y
rw [mulShift_apply, mulShift_apply, mulShift_apply, mul_assoc]
end ZMod
section ZModChar
variable {C : Type v} [CommMonoid C]
section ZModCharDef
/-- We can define an additive character on `ZMod n` when we have an `n`th root of unity `ζ : C`. -/
def zmodChar (n : ℕ+) {ζ : C} (hζ : ζ ^ (n : ℕ) = 1) : AddChar (ZMod n) C where
toFun a := ζ ^ a.val
map_zero_eq_one' := by simp only [ZMod.val_zero, pow_zero]
map_add_eq_mul' x y := by simp only [ZMod.val_add, ← pow_eq_pow_mod _ hζ, ← pow_add]
#align add_char.zmod_char AddChar.zmodChar
/-- The additive character on `ZMod n` defined using `ζ` sends `a` to `ζ^a`. -/
theorem zmodChar_apply {n : ℕ+} {ζ : C} (hζ : ζ ^ (n : ℕ) = 1) (a : ZMod n) :
zmodChar n hζ a = ζ ^ a.val :=
rfl
#align add_char.zmod_char_apply AddChar.zmodChar_apply
theorem zmodChar_apply' {n : ℕ+} {ζ : C} (hζ : ζ ^ (n : ℕ) = 1) (a : ℕ) :
zmodChar n hζ a = ζ ^ a := by
rw [pow_eq_pow_mod a hζ, zmodChar_apply, ZMod.val_natCast a]
#align add_char.zmod_char_apply' AddChar.zmodChar_apply'
end ZModCharDef
/-- An additive character on `ZMod n` is nontrivial iff it takes a value `≠ 1` on `1`. -/
theorem zmod_char_isNontrivial_iff (n : ℕ+) (ψ : AddChar (ZMod n) C) :
IsNontrivial ψ ↔ ψ 1 ≠ 1 := by
refine ⟨?_, fun h => ⟨1, h⟩⟩
contrapose!
rintro h₁ ⟨a, ha⟩
have ha₁ : a = a.val • (1 : ZMod ↑n) := by
rw [nsmul_eq_mul, mul_one]; exact (ZMod.natCast_zmod_val a).symm
rw [ha₁, map_nsmul_eq_pow, h₁, one_pow] at ha
exact ha rfl
#align add_char.zmod_char_is_nontrivial_iff AddChar.zmod_char_isNontrivial_iff
/-- A primitive additive character on `ZMod n` takes the value `1` only at `0`. -/
theorem IsPrimitive.zmod_char_eq_one_iff (n : ℕ+) {ψ : AddChar (ZMod n) C} (hψ : IsPrimitive ψ)
(a : ZMod n) : ψ a = 1 ↔ a = 0 := by
refine ⟨fun h => not_imp_comm.mp (hψ a) ?_, fun ha => by rw [ha, map_zero_eq_one]⟩
rw [zmod_char_isNontrivial_iff n (mulShift ψ a), mulShift_apply, mul_one, h, Classical.not_not]
#align add_char.is_primitive.zmod_char_eq_one_iff AddChar.IsPrimitive.zmod_char_eq_one_iff
/-- The converse: if the additive character takes the value `1` only at `0`,
then it is primitive. -/
| Mathlib/NumberTheory/LegendreSymbol/AddCharacter.lean | 197 | 203 | theorem zmod_char_primitive_of_eq_one_only_at_zero (n : ℕ) (ψ : AddChar (ZMod n) C)
(hψ : ∀ a, ψ a = 1 → a = 0) : IsPrimitive ψ := by |
refine fun a ha => (isNontrivial_iff_ne_trivial _).mpr fun hf => ?_
have h : mulShift ψ a 1 = (1 : AddChar (ZMod n) C) (1 : ZMod n) :=
congr_fun (congr_arg (↑) hf) 1
rw [mulShift_apply, mul_one] at h; norm_cast at h
exact ha (hψ a h)
|
/-
Copyright (c) 2021 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Algebra.Lie.BaseChange
import Mathlib.Algebra.Lie.Solvable
import Mathlib.Algebra.Lie.Quotient
import Mathlib.Algebra.Lie.Normalizer
import Mathlib.LinearAlgebra.Eigenspace.Basic
import Mathlib.Order.Filter.AtTopBot
import Mathlib.RingTheory.Artinian
import Mathlib.RingTheory.Nilpotent.Lemmas
import Mathlib.Tactic.Monotonicity
#align_import algebra.lie.nilpotent from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1"
/-!
# Nilpotent Lie algebras
Like groups, Lie algebras admit a natural concept of nilpotency. More generally, any Lie module
carries a natural concept of nilpotency. We define these here via the lower central series.
## Main definitions
* `LieModule.lowerCentralSeries`
* `LieModule.IsNilpotent`
## Tags
lie algebra, lower central series, nilpotent
-/
universe u v w w₁ w₂
section NilpotentModules
variable {R : Type u} {L : Type v} {M : Type w}
variable [CommRing R] [LieRing L] [LieAlgebra R L] [AddCommGroup M] [Module R M]
variable [LieRingModule L M] [LieModule R L M]
variable (k : ℕ) (N : LieSubmodule R L M)
namespace LieSubmodule
/-- A generalisation of the lower central series. The zeroth term is a specified Lie submodule of
a Lie module. In the case when we specify the top ideal `⊤` of the Lie algebra, regarded as a Lie
module over itself, we get the usual lower central series of a Lie algebra.
It can be more convenient to work with this generalisation when considering the lower central series
of a Lie submodule, regarded as a Lie module in its own right, since it provides a type-theoretic
expression of the fact that the terms of the Lie submodule's lower central series are also Lie
submodules of the enclosing Lie module.
See also `LieSubmodule.lowerCentralSeries_eq_lcs_comap` and
`LieSubmodule.lowerCentralSeries_map_eq_lcs` below, as well as `LieSubmodule.ucs`. -/
def lcs : LieSubmodule R L M → LieSubmodule R L M :=
(fun N => ⁅(⊤ : LieIdeal R L), N⁆)^[k]
#align lie_submodule.lcs LieSubmodule.lcs
@[simp]
theorem lcs_zero (N : LieSubmodule R L M) : N.lcs 0 = N :=
rfl
#align lie_submodule.lcs_zero LieSubmodule.lcs_zero
@[simp]
theorem lcs_succ : N.lcs (k + 1) = ⁅(⊤ : LieIdeal R L), N.lcs k⁆ :=
Function.iterate_succ_apply' (fun N' => ⁅⊤, N'⁆) k N
#align lie_submodule.lcs_succ LieSubmodule.lcs_succ
@[simp]
lemma lcs_sup {N₁ N₂ : LieSubmodule R L M} {k : ℕ} :
(N₁ ⊔ N₂).lcs k = N₁.lcs k ⊔ N₂.lcs k := by
induction' k with k ih
· simp
· simp only [LieSubmodule.lcs_succ, ih, LieSubmodule.lie_sup]
end LieSubmodule
namespace LieModule
variable (R L M)
/-- The lower central series of Lie submodules of a Lie module. -/
def lowerCentralSeries : LieSubmodule R L M :=
(⊤ : LieSubmodule R L M).lcs k
#align lie_module.lower_central_series LieModule.lowerCentralSeries
@[simp]
theorem lowerCentralSeries_zero : lowerCentralSeries R L M 0 = ⊤ :=
rfl
#align lie_module.lower_central_series_zero LieModule.lowerCentralSeries_zero
@[simp]
theorem lowerCentralSeries_succ :
lowerCentralSeries R L M (k + 1) = ⁅(⊤ : LieIdeal R L), lowerCentralSeries R L M k⁆ :=
(⊤ : LieSubmodule R L M).lcs_succ k
#align lie_module.lower_central_series_succ LieModule.lowerCentralSeries_succ
end LieModule
namespace LieSubmodule
open LieModule
theorem lcs_le_self : N.lcs k ≤ N := by
induction' k with k ih
· simp
· simp only [lcs_succ]
exact (LieSubmodule.mono_lie_right _ _ ⊤ ih).trans (N.lie_le_right ⊤)
#align lie_submodule.lcs_le_self LieSubmodule.lcs_le_self
theorem lowerCentralSeries_eq_lcs_comap : lowerCentralSeries R L N k = (N.lcs k).comap N.incl := by
induction' k with k ih
· simp
· simp only [lcs_succ, lowerCentralSeries_succ] at ih ⊢
have : N.lcs k ≤ N.incl.range := by
rw [N.range_incl]
apply lcs_le_self
rw [ih, LieSubmodule.comap_bracket_eq _ _ N.incl N.ker_incl this]
#align lie_submodule.lower_central_series_eq_lcs_comap LieSubmodule.lowerCentralSeries_eq_lcs_comap
theorem lowerCentralSeries_map_eq_lcs : (lowerCentralSeries R L N k).map N.incl = N.lcs k := by
rw [lowerCentralSeries_eq_lcs_comap, LieSubmodule.map_comap_incl, inf_eq_right]
apply lcs_le_self
#align lie_submodule.lower_central_series_map_eq_lcs LieSubmodule.lowerCentralSeries_map_eq_lcs
end LieSubmodule
namespace LieModule
variable {M₂ : Type w₁} [AddCommGroup M₂] [Module R M₂] [LieRingModule L M₂] [LieModule R L M₂]
variable (R L M)
theorem antitone_lowerCentralSeries : Antitone <| lowerCentralSeries R L M := by
intro l k
induction' k with k ih generalizing l <;> intro h
· exact (Nat.le_zero.mp h).symm ▸ le_rfl
· rcases Nat.of_le_succ h with (hk | hk)
· rw [lowerCentralSeries_succ]
exact (LieSubmodule.mono_lie_right _ _ ⊤ (ih hk)).trans (LieSubmodule.lie_le_right _ _)
· exact hk.symm ▸ le_rfl
#align lie_module.antitone_lower_central_series LieModule.antitone_lowerCentralSeries
theorem eventually_iInf_lowerCentralSeries_eq [IsArtinian R M] :
∀ᶠ l in Filter.atTop, ⨅ k, lowerCentralSeries R L M k = lowerCentralSeries R L M l := by
have h_wf : WellFounded ((· > ·) : (LieSubmodule R L M)ᵒᵈ → (LieSubmodule R L M)ᵒᵈ → Prop) :=
LieSubmodule.wellFounded_of_isArtinian R L M
obtain ⟨n, hn : ∀ m, n ≤ m → lowerCentralSeries R L M n = lowerCentralSeries R L M m⟩ :=
WellFounded.monotone_chain_condition.mp h_wf ⟨_, antitone_lowerCentralSeries R L M⟩
refine Filter.eventually_atTop.mpr ⟨n, fun l hl ↦ le_antisymm (iInf_le _ _) (le_iInf fun m ↦ ?_)⟩
rcases le_or_lt l m with h | h
· rw [← hn _ hl, ← hn _ (hl.trans h)]
· exact antitone_lowerCentralSeries R L M (le_of_lt h)
theorem trivial_iff_lower_central_eq_bot : IsTrivial L M ↔ lowerCentralSeries R L M 1 = ⊥ := by
constructor <;> intro h
· erw [eq_bot_iff, LieSubmodule.lieSpan_le]; rintro m ⟨x, n, hn⟩; rw [← hn, h.trivial]; simp
· rw [LieSubmodule.eq_bot_iff] at h; apply IsTrivial.mk; intro x m; apply h
apply LieSubmodule.subset_lieSpan
-- Porting note: was `use x, m; rfl`
simp only [LieSubmodule.top_coe, Subtype.exists, LieSubmodule.mem_top, exists_prop, true_and,
Set.mem_setOf]
exact ⟨x, m, rfl⟩
#align lie_module.trivial_iff_lower_central_eq_bot LieModule.trivial_iff_lower_central_eq_bot
theorem iterate_toEnd_mem_lowerCentralSeries (x : L) (m : M) (k : ℕ) :
(toEnd R L M x)^[k] m ∈ lowerCentralSeries R L M k := by
induction' k with k ih
· simp only [Nat.zero_eq, Function.iterate_zero, lowerCentralSeries_zero, LieSubmodule.mem_top]
· simp only [lowerCentralSeries_succ, Function.comp_apply, Function.iterate_succ',
toEnd_apply_apply]
exact LieSubmodule.lie_mem_lie _ _ (LieSubmodule.mem_top x) ih
#align lie_module.iterate_to_endomorphism_mem_lower_central_series LieModule.iterate_toEnd_mem_lowerCentralSeries
theorem iterate_toEnd_mem_lowerCentralSeries₂ (x y : L) (m : M) (k : ℕ) :
(toEnd R L M x ∘ₗ toEnd R L M y)^[k] m ∈
lowerCentralSeries R L M (2 * k) := by
induction' k with k ih
· simp
have hk : 2 * k.succ = (2 * k + 1) + 1 := rfl
simp only [lowerCentralSeries_succ, Function.comp_apply, Function.iterate_succ', hk,
toEnd_apply_apply, LinearMap.coe_comp, toEnd_apply_apply]
refine LieSubmodule.lie_mem_lie _ _ (LieSubmodule.mem_top x) ?_
exact LieSubmodule.lie_mem_lie _ _ (LieSubmodule.mem_top y) ih
variable {R L M}
theorem map_lowerCentralSeries_le (f : M →ₗ⁅R,L⁆ M₂) :
(lowerCentralSeries R L M k).map f ≤ lowerCentralSeries R L M₂ k := by
induction' k with k ih
· simp only [Nat.zero_eq, lowerCentralSeries_zero, le_top]
· simp only [LieModule.lowerCentralSeries_succ, LieSubmodule.map_bracket_eq]
exact LieSubmodule.mono_lie_right _ _ ⊤ ih
#align lie_module.map_lower_central_series_le LieModule.map_lowerCentralSeries_le
lemma map_lowerCentralSeries_eq {f : M →ₗ⁅R,L⁆ M₂} (hf : Function.Surjective f) :
(lowerCentralSeries R L M k).map f = lowerCentralSeries R L M₂ k := by
apply le_antisymm (map_lowerCentralSeries_le k f)
induction' k with k ih
· rwa [lowerCentralSeries_zero, lowerCentralSeries_zero, top_le_iff, f.map_top, f.range_eq_top]
· simp only [lowerCentralSeries_succ, LieSubmodule.map_bracket_eq]
apply LieSubmodule.mono_lie_right
assumption
variable (R L M)
open LieAlgebra
theorem derivedSeries_le_lowerCentralSeries (k : ℕ) :
derivedSeries R L k ≤ lowerCentralSeries R L L k := by
induction' k with k h
· rw [derivedSeries_def, derivedSeriesOfIdeal_zero, lowerCentralSeries_zero]
· have h' : derivedSeries R L k ≤ ⊤ := by simp only [le_top]
rw [derivedSeries_def, derivedSeriesOfIdeal_succ, lowerCentralSeries_succ]
exact LieSubmodule.mono_lie _ _ _ _ h' h
#align lie_module.derived_series_le_lower_central_series LieModule.derivedSeries_le_lowerCentralSeries
/-- A Lie module is nilpotent if its lower central series reaches 0 (in a finite number of
steps). -/
class IsNilpotent : Prop where
nilpotent : ∃ k, lowerCentralSeries R L M k = ⊥
#align lie_module.is_nilpotent LieModule.IsNilpotent
theorem exists_lowerCentralSeries_eq_bot_of_isNilpotent [IsNilpotent R L M] :
∃ k, lowerCentralSeries R L M k = ⊥ :=
IsNilpotent.nilpotent
@[simp] lemma iInf_lowerCentralSeries_eq_bot_of_isNilpotent [IsNilpotent R L M] :
⨅ k, lowerCentralSeries R L M k = ⊥ := by
obtain ⟨k, hk⟩ := exists_lowerCentralSeries_eq_bot_of_isNilpotent R L M
rw [eq_bot_iff, ← hk]
exact iInf_le _ _
/-- See also `LieModule.isNilpotent_iff_exists_ucs_eq_top`. -/
theorem isNilpotent_iff : IsNilpotent R L M ↔ ∃ k, lowerCentralSeries R L M k = ⊥ :=
⟨fun h => h.nilpotent, fun h => ⟨h⟩⟩
#align lie_module.is_nilpotent_iff LieModule.isNilpotent_iff
variable {R L M}
theorem _root_.LieSubmodule.isNilpotent_iff_exists_lcs_eq_bot (N : LieSubmodule R L M) :
LieModule.IsNilpotent R L N ↔ ∃ k, N.lcs k = ⊥ := by
rw [isNilpotent_iff]
refine exists_congr fun k => ?_
rw [N.lowerCentralSeries_eq_lcs_comap k, LieSubmodule.comap_incl_eq_bot,
inf_eq_right.mpr (N.lcs_le_self k)]
#align lie_submodule.is_nilpotent_iff_exists_lcs_eq_bot LieSubmodule.isNilpotent_iff_exists_lcs_eq_bot
variable (R L M)
instance (priority := 100) trivialIsNilpotent [IsTrivial L M] : IsNilpotent R L M :=
⟨by use 1; change ⁅⊤, ⊤⁆ = ⊥; simp⟩
#align lie_module.trivial_is_nilpotent LieModule.trivialIsNilpotent
theorem exists_forall_pow_toEnd_eq_zero [hM : IsNilpotent R L M] :
∃ k : ℕ, ∀ x : L, toEnd R L M x ^ k = 0 := by
obtain ⟨k, hM⟩ := hM
use k
intro x; ext m
rw [LinearMap.pow_apply, LinearMap.zero_apply, ← @LieSubmodule.mem_bot R L M, ← hM]
exact iterate_toEnd_mem_lowerCentralSeries R L M x m k
#align lie_module.nilpotent_endo_of_nilpotent_module LieModule.exists_forall_pow_toEnd_eq_zero
theorem isNilpotent_toEnd_of_isNilpotent [IsNilpotent R L M] (x : L) :
_root_.IsNilpotent (toEnd R L M x) := by
change ∃ k, toEnd R L M x ^ k = 0
have := exists_forall_pow_toEnd_eq_zero R L M
tauto
theorem isNilpotent_toEnd_of_isNilpotent₂ [IsNilpotent R L M] (x y : L) :
_root_.IsNilpotent (toEnd R L M x ∘ₗ toEnd R L M y) := by
obtain ⟨k, hM⟩ := exists_lowerCentralSeries_eq_bot_of_isNilpotent R L M
replace hM : lowerCentralSeries R L M (2 * k) = ⊥ := by
rw [eq_bot_iff, ← hM]; exact antitone_lowerCentralSeries R L M (by omega)
use k
ext m
rw [LinearMap.pow_apply, LinearMap.zero_apply, ← LieSubmodule.mem_bot (R := R) (L := L), ← hM]
exact iterate_toEnd_mem_lowerCentralSeries₂ R L M x y m k
@[simp] lemma maxGenEigenSpace_toEnd_eq_top [IsNilpotent R L M] (x : L) :
((toEnd R L M x).maxGenEigenspace 0) = ⊤ := by
ext m
simp only [Module.End.mem_maxGenEigenspace, zero_smul, sub_zero, Submodule.mem_top,
iff_true]
obtain ⟨k, hk⟩ := exists_forall_pow_toEnd_eq_zero R L M
exact ⟨k, by simp [hk x]⟩
/-- If the quotient of a Lie module `M` by a Lie submodule on which the Lie algebra acts trivially
is nilpotent then `M` is nilpotent.
This is essentially the Lie module equivalent of the fact that a central
extension of nilpotent Lie algebras is nilpotent. See `LieAlgebra.nilpotent_of_nilpotent_quotient`
below for the corresponding result for Lie algebras. -/
theorem nilpotentOfNilpotentQuotient {N : LieSubmodule R L M} (h₁ : N ≤ maxTrivSubmodule R L M)
(h₂ : IsNilpotent R L (M ⧸ N)) : IsNilpotent R L M := by
obtain ⟨k, hk⟩ := h₂
use k + 1
simp only [lowerCentralSeries_succ]
suffices lowerCentralSeries R L M k ≤ N by
replace this := LieSubmodule.mono_lie_right _ _ ⊤ (le_trans this h₁)
rwa [ideal_oper_maxTrivSubmodule_eq_bot, le_bot_iff] at this
rw [← LieSubmodule.Quotient.map_mk'_eq_bot_le, ← le_bot_iff, ← hk]
exact map_lowerCentralSeries_le k (LieSubmodule.Quotient.mk' N)
#align lie_module.nilpotent_of_nilpotent_quotient LieModule.nilpotentOfNilpotentQuotient
theorem isNilpotent_quotient_iff :
IsNilpotent R L (M ⧸ N) ↔ ∃ k, lowerCentralSeries R L M k ≤ N := by
rw [LieModule.isNilpotent_iff]
refine exists_congr fun k ↦ ?_
rw [← LieSubmodule.Quotient.map_mk'_eq_bot_le, map_lowerCentralSeries_eq k
(LieSubmodule.Quotient.surjective_mk' N)]
theorem iInf_lcs_le_of_isNilpotent_quot (h : IsNilpotent R L (M ⧸ N)) :
⨅ k, lowerCentralSeries R L M k ≤ N := by
obtain ⟨k, hk⟩ := (isNilpotent_quotient_iff R L M N).mp h
exact iInf_le_of_le k hk
/-- Given a nilpotent Lie module `M` with lower central series `M = C₀ ≥ C₁ ≥ ⋯ ≥ Cₖ = ⊥`, this is
the natural number `k` (the number of inclusions).
For a non-nilpotent module, we use the junk value 0. -/
noncomputable def nilpotencyLength : ℕ :=
sInf {k | lowerCentralSeries R L M k = ⊥}
#align lie_module.nilpotency_length LieModule.nilpotencyLength
@[simp]
theorem nilpotencyLength_eq_zero_iff [IsNilpotent R L M] :
nilpotencyLength R L M = 0 ↔ Subsingleton M := by
let s := {k | lowerCentralSeries R L M k = ⊥}
have hs : s.Nonempty := by
obtain ⟨k, hk⟩ := (by infer_instance : IsNilpotent R L M)
exact ⟨k, hk⟩
change sInf s = 0 ↔ _
rw [← LieSubmodule.subsingleton_iff R L M, ← subsingleton_iff_bot_eq_top, ←
lowerCentralSeries_zero, @eq_comm (LieSubmodule R L M)]
refine ⟨fun h => h ▸ Nat.sInf_mem hs, fun h => ?_⟩
rw [Nat.sInf_eq_zero]
exact Or.inl h
#align lie_module.nilpotency_length_eq_zero_iff LieModule.nilpotencyLength_eq_zero_iff
theorem nilpotencyLength_eq_succ_iff (k : ℕ) :
nilpotencyLength R L M = k + 1 ↔
lowerCentralSeries R L M (k + 1) = ⊥ ∧ lowerCentralSeries R L M k ≠ ⊥ := by
let s := {k | lowerCentralSeries R L M k = ⊥}
change sInf s = k + 1 ↔ k + 1 ∈ s ∧ k ∉ s
have hs : ∀ k₁ k₂, k₁ ≤ k₂ → k₁ ∈ s → k₂ ∈ s := by
rintro k₁ k₂ h₁₂ (h₁ : lowerCentralSeries R L M k₁ = ⊥)
exact eq_bot_iff.mpr (h₁ ▸ antitone_lowerCentralSeries R L M h₁₂)
exact Nat.sInf_upward_closed_eq_succ_iff hs k
#align lie_module.nilpotency_length_eq_succ_iff LieModule.nilpotencyLength_eq_succ_iff
@[simp]
theorem nilpotencyLength_eq_one_iff [Nontrivial M] :
nilpotencyLength R L M = 1 ↔ IsTrivial L M := by
rw [nilpotencyLength_eq_succ_iff, ← trivial_iff_lower_central_eq_bot]
simp
theorem isTrivial_of_nilpotencyLength_le_one [IsNilpotent R L M] (h : nilpotencyLength R L M ≤ 1) :
IsTrivial L M := by
nontriviality M
cases' Nat.le_one_iff_eq_zero_or_eq_one.mp h with h h
· rw [nilpotencyLength_eq_zero_iff] at h; infer_instance
· rwa [nilpotencyLength_eq_one_iff] at h
/-- Given a non-trivial nilpotent Lie module `M` with lower central series
`M = C₀ ≥ C₁ ≥ ⋯ ≥ Cₖ = ⊥`, this is the `k-1`th term in the lower central series (the last
non-trivial term).
For a trivial or non-nilpotent module, this is the bottom submodule, `⊥`. -/
noncomputable def lowerCentralSeriesLast : LieSubmodule R L M :=
match nilpotencyLength R L M with
| 0 => ⊥
| k + 1 => lowerCentralSeries R L M k
#align lie_module.lower_central_series_last LieModule.lowerCentralSeriesLast
theorem lowerCentralSeriesLast_le_max_triv :
lowerCentralSeriesLast R L M ≤ maxTrivSubmodule R L M := by
rw [lowerCentralSeriesLast]
cases' h : nilpotencyLength R L M with k
· exact bot_le
· rw [le_max_triv_iff_bracket_eq_bot]
rw [nilpotencyLength_eq_succ_iff, lowerCentralSeries_succ] at h
exact h.1
#align lie_module.lower_central_series_last_le_max_triv LieModule.lowerCentralSeriesLast_le_max_triv
theorem nontrivial_lowerCentralSeriesLast [Nontrivial M] [IsNilpotent R L M] :
Nontrivial (lowerCentralSeriesLast R L M) := by
rw [LieSubmodule.nontrivial_iff_ne_bot, lowerCentralSeriesLast]
cases h : nilpotencyLength R L M
· rw [nilpotencyLength_eq_zero_iff, ← not_nontrivial_iff_subsingleton] at h
contradiction
· rw [nilpotencyLength_eq_succ_iff] at h
exact h.2
#align lie_module.nontrivial_lower_central_series_last LieModule.nontrivial_lowerCentralSeriesLast
theorem lowerCentralSeriesLast_le_of_not_isTrivial [IsNilpotent R L M] (h : ¬ IsTrivial L M) :
lowerCentralSeriesLast R L M ≤ lowerCentralSeries R L M 1 := by
rw [lowerCentralSeriesLast]
replace h : 1 < nilpotencyLength R L M := by
by_contra contra
have := isTrivial_of_nilpotencyLength_le_one R L M (not_lt.mp contra)
contradiction
cases' hk : nilpotencyLength R L M with k <;> rw [hk] at h
· contradiction
· exact antitone_lowerCentralSeries _ _ _ (Nat.lt_succ.mp h)
/-- For a nilpotent Lie module `M` of a Lie algebra `L`, the first term in the lower central series
of `M` contains a non-zero element on which `L` acts trivially unless the entire action is trivial.
Taking `M = L`, this provides a useful characterisation of Abelian-ness for nilpotent Lie
algebras. -/
lemma disjoint_lowerCentralSeries_maxTrivSubmodule_iff [IsNilpotent R L M] :
Disjoint (lowerCentralSeries R L M 1) (maxTrivSubmodule R L M) ↔ IsTrivial L M := by
refine ⟨fun h ↦ ?_, fun h ↦ by simp⟩
nontriviality M
by_contra contra
have : lowerCentralSeriesLast R L M ≤ lowerCentralSeries R L M 1 ⊓ maxTrivSubmodule R L M :=
le_inf_iff.mpr ⟨lowerCentralSeriesLast_le_of_not_isTrivial R L M contra,
lowerCentralSeriesLast_le_max_triv R L M⟩
suffices ¬ Nontrivial (lowerCentralSeriesLast R L M) by
exact this (nontrivial_lowerCentralSeriesLast R L M)
rw [h.eq_bot, le_bot_iff] at this
exact this ▸ not_nontrivial _
theorem nontrivial_max_triv_of_isNilpotent [Nontrivial M] [IsNilpotent R L M] :
Nontrivial (maxTrivSubmodule R L M) :=
Set.nontrivial_mono (lowerCentralSeriesLast_le_max_triv R L M)
(nontrivial_lowerCentralSeriesLast R L M)
#align lie_module.nontrivial_max_triv_of_is_nilpotent LieModule.nontrivial_max_triv_of_isNilpotent
@[simp]
theorem coe_lcs_range_toEnd_eq (k : ℕ) :
(lowerCentralSeries R (toEnd R L M).range M k : Submodule R M) =
lowerCentralSeries R L M k := by
induction' k with k ih
· simp
· simp only [lowerCentralSeries_succ, LieSubmodule.lieIdeal_oper_eq_linear_span', ←
(lowerCentralSeries R (toEnd R L M).range M k).mem_coeSubmodule, ih]
congr
ext m
constructor
· rintro ⟨⟨-, ⟨y, rfl⟩⟩, -, n, hn, rfl⟩
exact ⟨y, LieSubmodule.mem_top _, n, hn, rfl⟩
· rintro ⟨x, -, n, hn, rfl⟩
exact
⟨⟨toEnd R L M x, LieHom.mem_range_self _ x⟩, LieSubmodule.mem_top _, n, hn, rfl⟩
#align lie_module.coe_lcs_range_to_endomorphism_eq LieModule.coe_lcs_range_toEnd_eq
@[simp]
theorem isNilpotent_range_toEnd_iff :
IsNilpotent R (toEnd R L M).range M ↔ IsNilpotent R L M := by
constructor <;> rintro ⟨k, hk⟩ <;> use k <;>
rw [← LieSubmodule.coe_toSubmodule_eq_iff] at hk ⊢ <;>
simpa using hk
#align lie_module.is_nilpotent_range_to_endomorphism_iff LieModule.isNilpotent_range_toEnd_iff
end LieModule
namespace LieSubmodule
variable {N₁ N₂ : LieSubmodule R L M}
/-- The upper (aka ascending) central series.
See also `LieSubmodule.lcs`. -/
def ucs (k : ℕ) : LieSubmodule R L M → LieSubmodule R L M :=
normalizer^[k]
#align lie_submodule.ucs LieSubmodule.ucs
@[simp]
theorem ucs_zero : N.ucs 0 = N :=
rfl
#align lie_submodule.ucs_zero LieSubmodule.ucs_zero
@[simp]
theorem ucs_succ (k : ℕ) : N.ucs (k + 1) = (N.ucs k).normalizer :=
Function.iterate_succ_apply' normalizer k N
#align lie_submodule.ucs_succ LieSubmodule.ucs_succ
theorem ucs_add (k l : ℕ) : N.ucs (k + l) = (N.ucs l).ucs k :=
Function.iterate_add_apply normalizer k l N
#align lie_submodule.ucs_add LieSubmodule.ucs_add
@[mono]
| Mathlib/Algebra/Lie/Nilpotent.lean | 485 | 490 | theorem ucs_mono (k : ℕ) (h : N₁ ≤ N₂) : N₁.ucs k ≤ N₂.ucs k := by |
induction' k with k ih
· simpa
simp only [ucs_succ]
-- Porting note: `mono` makes no progress
apply monotone_normalizer ih
|
/-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import Mathlib.Algebra.Polynomial.Degree.Definitions
import Mathlib.Algebra.Polynomial.Eval
import Mathlib.Algebra.Polynomial.Monic
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.Tactic.Abel
#align_import ring_theory.polynomial.pochhammer from "leanprover-community/mathlib"@"53b216bcc1146df1c4a0a86877890ea9f1f01589"
/-!
# The Pochhammer polynomials
We define and prove some basic relations about
`ascPochhammer S n : S[X] := X * (X + 1) * ... * (X + n - 1)`
which is also known as the rising factorial and about
`descPochhammer R n : R[X] := X * (X - 1) * ... * (X - n + 1)`
which is also known as the falling factorial. Versions of this definition
that are focused on `Nat` can be found in `Data.Nat.Factorial` as `Nat.ascFactorial` and
`Nat.descFactorial`.
## Implementation
As with many other families of polynomials, even though the coefficients are always in `ℕ` or `ℤ` ,
we define the polynomial with coefficients in any `[Semiring S]` or `[Ring R]`.
## TODO
There is lots more in this direction:
* q-factorials, q-binomials, q-Pochhammer.
-/
universe u v
open Polynomial
open Polynomial
section Semiring
variable (S : Type u) [Semiring S]
/-- `ascPochhammer S n` is the polynomial `X * (X + 1) * ... * (X + n - 1)`,
with coefficients in the semiring `S`.
-/
noncomputable def ascPochhammer : ℕ → S[X]
| 0 => 1
| n + 1 => X * (ascPochhammer n).comp (X + 1)
#align pochhammer ascPochhammer
@[simp]
theorem ascPochhammer_zero : ascPochhammer S 0 = 1 :=
rfl
#align pochhammer_zero ascPochhammer_zero
@[simp]
theorem ascPochhammer_one : ascPochhammer S 1 = X := by simp [ascPochhammer]
#align pochhammer_one ascPochhammer_one
theorem ascPochhammer_succ_left (n : ℕ) :
ascPochhammer S (n + 1) = X * (ascPochhammer S n).comp (X + 1) := by
rw [ascPochhammer]
#align pochhammer_succ_left ascPochhammer_succ_left
theorem monic_ascPochhammer (n : ℕ) [Nontrivial S] [NoZeroDivisors S] :
Monic <| ascPochhammer S n := by
induction' n with n hn
· simp
· have : leadingCoeff (X + 1 : S[X]) = 1 := leadingCoeff_X_add_C 1
rw [ascPochhammer_succ_left, Monic.def, leadingCoeff_mul,
leadingCoeff_comp (ne_zero_of_eq_one <| natDegree_X_add_C 1 : natDegree (X + 1) ≠ 0), hn,
monic_X, one_mul, one_mul, this, one_pow]
section
variable {S} {T : Type v} [Semiring T]
@[simp]
theorem ascPochhammer_map (f : S →+* T) (n : ℕ) :
(ascPochhammer S n).map f = ascPochhammer T n := by
induction' n with n ih
· simp
· simp [ih, ascPochhammer_succ_left, map_comp]
#align pochhammer_map ascPochhammer_map
theorem ascPochhammer_eval₂ (f : S →+* T) (n : ℕ) (t : T) :
(ascPochhammer T n).eval t = (ascPochhammer S n).eval₂ f t := by
rw [← ascPochhammer_map f]
exact eval_map f t
theorem ascPochhammer_eval_comp {R : Type*} [CommSemiring R] (n : ℕ) (p : R[X]) [Algebra R S]
(x : S) : ((ascPochhammer S n).comp (p.map (algebraMap R S))).eval x =
(ascPochhammer S n).eval (p.eval₂ (algebraMap R S) x) := by
rw [ascPochhammer_eval₂ (algebraMap R S), ← eval₂_comp', ← ascPochhammer_map (algebraMap R S),
← map_comp, eval_map]
end
@[simp, norm_cast]
theorem ascPochhammer_eval_cast (n k : ℕ) :
(((ascPochhammer ℕ n).eval k : ℕ) : S) = ((ascPochhammer S n).eval k : S) := by
rw [← ascPochhammer_map (algebraMap ℕ S), eval_map, ← eq_natCast (algebraMap ℕ S),
eval₂_at_natCast,Nat.cast_id]
#align pochhammer_eval_cast ascPochhammer_eval_cast
| Mathlib/RingTheory/Polynomial/Pochhammer.lean | 110 | 113 | theorem ascPochhammer_eval_zero {n : ℕ} : (ascPochhammer S n).eval 0 = if n = 0 then 1 else 0 := by |
cases n
· simp
· simp [X_mul, Nat.succ_ne_zero, ascPochhammer_succ_left]
|
/-
Copyright (c) 2022 Damiano Testa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Damiano Testa
-/
import Mathlib.Algebra.Polynomial.Degree.Definitions
#align_import ring_theory.polynomial.opposites from "leanprover-community/mathlib"@"63417e01fbc711beaf25fa73b6edb395c0cfddd0"
/-! # Interactions between `R[X]` and `Rᵐᵒᵖ[X]`
This file contains the basic API for "pushing through" the isomorphism
`opRingEquiv : R[X]ᵐᵒᵖ ≃+* Rᵐᵒᵖ[X]`. It allows going back and forth between a polynomial ring
over a semiring and the polynomial ring over the opposite semiring. -/
open Polynomial
open Polynomial MulOpposite
variable {R : Type*} [Semiring R]
noncomputable section
namespace Polynomial
/-- Ring isomorphism between `R[X]ᵐᵒᵖ` and `Rᵐᵒᵖ[X]` sending each coefficient of a polynomial
to the corresponding element of the opposite ring. -/
def opRingEquiv (R : Type*) [Semiring R] : R[X]ᵐᵒᵖ ≃+* Rᵐᵒᵖ[X] :=
((toFinsuppIso R).op.trans AddMonoidAlgebra.opRingEquiv).trans (toFinsuppIso _).symm
#align polynomial.op_ring_equiv Polynomial.opRingEquiv
/-! Lemmas to get started, using `opRingEquiv R` on the various expressions of
`Finsupp.single`: `monomial`, `C a`, `X`, `C a * X ^ n`. -/
@[simp]
| Mathlib/RingTheory/Polynomial/Opposites.lean | 38 | 42 | theorem opRingEquiv_op_monomial (n : ℕ) (r : R) :
opRingEquiv R (op (monomial n r : R[X])) = monomial n (op r) := by |
simp only [opRingEquiv, RingEquiv.coe_trans, Function.comp_apply,
AddMonoidAlgebra.opRingEquiv_apply, RingEquiv.op_apply_apply, toFinsuppIso_apply, unop_op,
toFinsupp_monomial, Finsupp.mapRange_single, toFinsuppIso_symm_apply, ofFinsupp_single]
|
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp, Yury Kudryashov
-/
import Mathlib.Analysis.Convex.Between
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.Topology
import Mathlib.Analysis.Normed.Group.Pointwise
import Mathlib.Analysis.NormedSpace.AddTorsor
#align_import analysis.convex.normed from "leanprover-community/mathlib"@"a63928c34ec358b5edcda2bf7513c50052a5230f"
/-!
# Topological and metric properties of convex sets in normed spaces
We prove the following facts:
* `convexOn_norm`, `convexOn_dist` : norm and distance to a fixed point is convex on any convex
set;
* `convexOn_univ_norm`, `convexOn_univ_dist` : norm and distance to a fixed point is convex on
the whole space;
* `convexHull_ediam`, `convexHull_diam` : convex hull of a set has the same (e)metric diameter
as the original set;
* `bounded_convexHull` : convex hull of a set is bounded if and only if the original set
is bounded.
-/
variable {ι : Type*} {E P : Type*}
open Metric Set
open scoped Convex
variable [SeminormedAddCommGroup E] [NormedSpace ℝ E] [PseudoMetricSpace P] [NormedAddTorsor E P]
variable {s t : Set E}
/-- The norm on a real normed space is convex on any convex set. See also `Seminorm.convexOn`
and `convexOn_univ_norm`. -/
theorem convexOn_norm (hs : Convex ℝ s) : ConvexOn ℝ s norm :=
⟨hs, fun x _ y _ a b ha hb _ =>
calc
‖a • x + b • y‖ ≤ ‖a • x‖ + ‖b • y‖ := norm_add_le _ _
_ = a * ‖x‖ + b * ‖y‖ := by
rw [norm_smul, norm_smul, Real.norm_of_nonneg ha, Real.norm_of_nonneg hb]⟩
#align convex_on_norm convexOn_norm
/-- The norm on a real normed space is convex on the whole space. See also `Seminorm.convexOn`
and `convexOn_norm`. -/
theorem convexOn_univ_norm : ConvexOn ℝ univ (norm : E → ℝ) :=
convexOn_norm convex_univ
#align convex_on_univ_norm convexOn_univ_norm
theorem convexOn_dist (z : E) (hs : Convex ℝ s) : ConvexOn ℝ s fun z' => dist z' z := by
simpa [dist_eq_norm, preimage_preimage] using
(convexOn_norm (hs.translate (-z))).comp_affineMap (AffineMap.id ℝ E - AffineMap.const ℝ E z)
#align convex_on_dist convexOn_dist
theorem convexOn_univ_dist (z : E) : ConvexOn ℝ univ fun z' => dist z' z :=
convexOn_dist z convex_univ
#align convex_on_univ_dist convexOn_univ_dist
theorem convex_ball (a : E) (r : ℝ) : Convex ℝ (Metric.ball a r) := by
simpa only [Metric.ball, sep_univ] using (convexOn_univ_dist a).convex_lt r
#align convex_ball convex_ball
theorem convex_closedBall (a : E) (r : ℝ) : Convex ℝ (Metric.closedBall a r) := by
simpa only [Metric.closedBall, sep_univ] using (convexOn_univ_dist a).convex_le r
#align convex_closed_ball convex_closedBall
theorem Convex.thickening (hs : Convex ℝ s) (δ : ℝ) : Convex ℝ (thickening δ s) := by
rw [← add_ball_zero]
exact hs.add (convex_ball 0 _)
#align convex.thickening Convex.thickening
theorem Convex.cthickening (hs : Convex ℝ s) (δ : ℝ) : Convex ℝ (cthickening δ s) := by
obtain hδ | hδ := le_total 0 δ
· rw [cthickening_eq_iInter_thickening hδ]
exact convex_iInter₂ fun _ _ => hs.thickening _
· rw [cthickening_of_nonpos hδ]
exact hs.closure
#align convex.cthickening Convex.cthickening
/-- Given a point `x` in the convex hull of `s` and a point `y`, there exists a point
of `s` at distance at least `dist x y` from `y`. -/
theorem convexHull_exists_dist_ge {s : Set E} {x : E} (hx : x ∈ convexHull ℝ s) (y : E) :
∃ x' ∈ s, dist x y ≤ dist x' y :=
(convexOn_dist y (convex_convexHull ℝ _)).exists_ge_of_mem_convexHull hx
#align convex_hull_exists_dist_ge convexHull_exists_dist_ge
/-- Given a point `x` in the convex hull of `s` and a point `y` in the convex hull of `t`,
there exist points `x' ∈ s` and `y' ∈ t` at distance at least `dist x y`. -/
theorem convexHull_exists_dist_ge2 {s t : Set E} {x y : E} (hx : x ∈ convexHull ℝ s)
(hy : y ∈ convexHull ℝ t) : ∃ x' ∈ s, ∃ y' ∈ t, dist x y ≤ dist x' y' := by
rcases convexHull_exists_dist_ge hx y with ⟨x', hx', Hx'⟩
rcases convexHull_exists_dist_ge hy x' with ⟨y', hy', Hy'⟩
use x', hx', y', hy'
exact le_trans Hx' (dist_comm y x' ▸ dist_comm y' x' ▸ Hy')
#align convex_hull_exists_dist_ge2 convexHull_exists_dist_ge2
/-- Emetric diameter of the convex hull of a set `s` equals the emetric diameter of `s`. -/
@[simp]
theorem convexHull_ediam (s : Set E) : EMetric.diam (convexHull ℝ s) = EMetric.diam s := by
refine (EMetric.diam_le fun x hx y hy => ?_).antisymm (EMetric.diam_mono <| subset_convexHull ℝ s)
rcases convexHull_exists_dist_ge2 hx hy with ⟨x', hx', y', hy', H⟩
rw [edist_dist]
apply le_trans (ENNReal.ofReal_le_ofReal H)
rw [← edist_dist]
exact EMetric.edist_le_diam_of_mem hx' hy'
#align convex_hull_ediam convexHull_ediam
/-- Diameter of the convex hull of a set `s` equals the emetric diameter of `s`. -/
@[simp]
theorem convexHull_diam (s : Set E) : Metric.diam (convexHull ℝ s) = Metric.diam s := by
simp only [Metric.diam, convexHull_ediam]
#align convex_hull_diam convexHull_diam
/-- Convex hull of `s` is bounded if and only if `s` is bounded. -/
@[simp]
theorem isBounded_convexHull {s : Set E} :
Bornology.IsBounded (convexHull ℝ s) ↔ Bornology.IsBounded s := by
simp only [Metric.isBounded_iff_ediam_ne_top, convexHull_ediam]
#align bounded_convex_hull isBounded_convexHull
instance (priority := 100) NormedSpace.instPathConnectedSpace : PathConnectedSpace E :=
TopologicalAddGroup.pathConnectedSpace
#align normed_space.path_connected NormedSpace.instPathConnectedSpace
instance (priority := 100) NormedSpace.instLocPathConnectedSpace : LocPathConnectedSpace E :=
locPathConnected_of_bases (fun x => Metric.nhds_basis_ball) fun x r r_pos =>
(convex_ball x r).isPathConnected <| by simp [r_pos]
#align normed_space.loc_path_connected NormedSpace.instLocPathConnectedSpace
theorem Wbtw.dist_add_dist {x y z : P} (h : Wbtw ℝ x y z) :
dist x y + dist y z = dist x z := by
obtain ⟨a, ⟨ha₀, ha₁⟩, rfl⟩ := h
simp [abs_of_nonneg, ha₀, ha₁, sub_mul]
theorem dist_add_dist_of_mem_segment {x y z : E} (h : y ∈ [x -[ℝ] z]) :
dist x y + dist y z = dist x z :=
(mem_segment_iff_wbtw.1 h).dist_add_dist
#align dist_add_dist_of_mem_segment dist_add_dist_of_mem_segment
/-- The set of vectors in the same ray as `x` is connected. -/
theorem isConnected_setOf_sameRay (x : E) : IsConnected { y | SameRay ℝ x y } := by
by_cases hx : x = 0; · simpa [hx] using isConnected_univ (α := E)
simp_rw [← exists_nonneg_left_iff_sameRay hx]
exact isConnected_Ici.image _ (continuous_id.smul continuous_const).continuousOn
#align is_connected_set_of_same_ray isConnected_setOf_sameRay
/-- The set of nonzero vectors in the same ray as the nonzero vector `x` is connected. -/
| Mathlib/Analysis/Convex/Normed.lean | 151 | 154 | theorem isConnected_setOf_sameRay_and_ne_zero {x : E} (hx : x ≠ 0) :
IsConnected { y | SameRay ℝ x y ∧ y ≠ 0 } := by |
simp_rw [← exists_pos_left_iff_sameRay_and_ne_zero hx]
exact isConnected_Ioi.image _ (continuous_id.smul continuous_const).continuousOn
|
/-
Copyright (c) 2019 Johannes Hölzl, Zhouhang Zhou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Zhouhang Zhou
-/
import Mathlib.MeasureTheory.Integral.Lebesgue
import Mathlib.Order.Filter.Germ
import Mathlib.Topology.ContinuousFunction.Algebra
import Mathlib.MeasureTheory.Function.StronglyMeasurable.Basic
#align_import measure_theory.function.ae_eq_fun from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# Almost everywhere equal functions
We build a space of equivalence classes of functions, where two functions are treated as identical
if they are almost everywhere equal. We form the set of equivalence classes under the relation of
being almost everywhere equal, which is sometimes known as the `L⁰` space.
To use this space as a basis for the `L^p` spaces and for the Bochner integral, we consider
equivalence classes of strongly measurable functions (or, equivalently, of almost everywhere
strongly measurable functions.)
See `L1Space.lean` for `L¹` space.
## Notation
* `α →ₘ[μ] β` is the type of `L⁰` space, where `α` is a measurable space, `β` is a topological
space, and `μ` is a measure on `α`. `f : α →ₘ β` is a "function" in `L⁰`.
In comments, `[f]` is also used to denote an `L⁰` function.
`ₘ` can be typed as `\_m`. Sometimes it is shown as a box if font is missing.
## Main statements
* The linear structure of `L⁰` :
Addition and scalar multiplication are defined on `L⁰` in the natural way, i.e.,
`[f] + [g] := [f + g]`, `c • [f] := [c • f]`. So defined, `α →ₘ β` inherits the linear structure
of `β`. For example, if `β` is a module, then `α →ₘ β` is a module over the same ring.
See `mk_add_mk`, `neg_mk`, `mk_sub_mk`, `smul_mk`,
`add_toFun`, `neg_toFun`, `sub_toFun`, `smul_toFun`
* The order structure of `L⁰` :
`≤` can be defined in a similar way: `[f] ≤ [g]` if `f a ≤ g a` for almost all `a` in domain.
And `α →ₘ β` inherits the preorder and partial order of `β`.
TODO: Define `sup` and `inf` on `L⁰` so that it forms a lattice. It seems that `β` must be a
linear order, since otherwise `f ⊔ g` may not be a measurable function.
## Implementation notes
* `f.toFun` : To find a representative of `f : α →ₘ β`, use the coercion `(f : α → β)`, which
is implemented as `f.toFun`.
For each operation `op` in `L⁰`, there is a lemma called `coe_fn_op`,
characterizing, say, `(f op g : α → β)`.
* `ae_eq_fun.mk` : To constructs an `L⁰` function `α →ₘ β` from an almost everywhere strongly
measurable function `f : α → β`, use `ae_eq_fun.mk`
* `comp` : Use `comp g f` to get `[g ∘ f]` from `g : β → γ` and `[f] : α →ₘ γ` when `g` is
continuous. Use `comp_measurable` if `g` is only measurable (this requires the
target space to be second countable).
* `comp₂` : Use `comp₂ g f₁ f₂` to get `[fun a ↦ g (f₁ a) (f₂ a)]`.
For example, `[f + g]` is `comp₂ (+)`
## Tags
function space, almost everywhere equal, `L⁰`, ae_eq_fun
-/
noncomputable section
open scoped Classical
open ENNReal Topology
open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory Function
variable {α β γ δ : Type*} [MeasurableSpace α] {μ ν : Measure α}
namespace MeasureTheory
section MeasurableSpace
variable [TopologicalSpace β]
variable (β)
/-- The equivalence relation of being almost everywhere equal for almost everywhere strongly
measurable functions. -/
def Measure.aeEqSetoid (μ : Measure α) : Setoid { f : α → β // AEStronglyMeasurable f μ } :=
⟨fun f g => (f : α → β) =ᵐ[μ] g, fun {f} => ae_eq_refl f.val, fun {_ _} => ae_eq_symm,
fun {_ _ _} => ae_eq_trans⟩
#align measure_theory.measure.ae_eq_setoid MeasureTheory.Measure.aeEqSetoid
variable (α)
/-- The space of equivalence classes of almost everywhere strongly measurable functions, where two
strongly measurable functions are equivalent if they agree almost everywhere, i.e.,
they differ on a set of measure `0`. -/
def AEEqFun (μ : Measure α) : Type _ :=
Quotient (μ.aeEqSetoid β)
#align measure_theory.ae_eq_fun MeasureTheory.AEEqFun
variable {α β}
@[inherit_doc MeasureTheory.AEEqFun]
notation:25 α " →ₘ[" μ "] " β => AEEqFun α β μ
end MeasurableSpace
namespace AEEqFun
variable [TopologicalSpace β] [TopologicalSpace γ] [TopologicalSpace δ]
/-- Construct the equivalence class `[f]` of an almost everywhere measurable function `f`, based
on the equivalence relation of being almost everywhere equal. -/
def mk {β : Type*} [TopologicalSpace β] (f : α → β) (hf : AEStronglyMeasurable f μ) : α →ₘ[μ] β :=
Quotient.mk'' ⟨f, hf⟩
#align measure_theory.ae_eq_fun.mk MeasureTheory.AEEqFun.mk
/-- Coercion from a space of equivalence classes of almost everywhere strongly measurable
functions to functions. -/
@[coe]
def cast (f : α →ₘ[μ] β) : α → β :=
AEStronglyMeasurable.mk _ (Quotient.out' f : { f : α → β // AEStronglyMeasurable f μ }).2
/-- A measurable representative of an `AEEqFun` [f] -/
instance instCoeFun : CoeFun (α →ₘ[μ] β) fun _ => α → β := ⟨cast⟩
#align measure_theory.ae_eq_fun.has_coe_to_fun MeasureTheory.AEEqFun.instCoeFun
protected theorem stronglyMeasurable (f : α →ₘ[μ] β) : StronglyMeasurable f :=
AEStronglyMeasurable.stronglyMeasurable_mk _
#align measure_theory.ae_eq_fun.strongly_measurable MeasureTheory.AEEqFun.stronglyMeasurable
protected theorem aestronglyMeasurable (f : α →ₘ[μ] β) : AEStronglyMeasurable f μ :=
f.stronglyMeasurable.aestronglyMeasurable
#align measure_theory.ae_eq_fun.ae_strongly_measurable MeasureTheory.AEEqFun.aestronglyMeasurable
protected theorem measurable [PseudoMetrizableSpace β] [MeasurableSpace β] [BorelSpace β]
(f : α →ₘ[μ] β) : Measurable f :=
AEStronglyMeasurable.measurable_mk _
#align measure_theory.ae_eq_fun.measurable MeasureTheory.AEEqFun.measurable
protected theorem aemeasurable [PseudoMetrizableSpace β] [MeasurableSpace β] [BorelSpace β]
(f : α →ₘ[μ] β) : AEMeasurable f μ :=
f.measurable.aemeasurable
#align measure_theory.ae_eq_fun.ae_measurable MeasureTheory.AEEqFun.aemeasurable
@[simp]
theorem quot_mk_eq_mk (f : α → β) (hf) :
(Quot.mk (@Setoid.r _ <| μ.aeEqSetoid β) ⟨f, hf⟩ : α →ₘ[μ] β) = mk f hf :=
rfl
#align measure_theory.ae_eq_fun.quot_mk_eq_mk MeasureTheory.AEEqFun.quot_mk_eq_mk
@[simp]
theorem mk_eq_mk {f g : α → β} {hf hg} : (mk f hf : α →ₘ[μ] β) = mk g hg ↔ f =ᵐ[μ] g :=
Quotient.eq''
#align measure_theory.ae_eq_fun.mk_eq_mk MeasureTheory.AEEqFun.mk_eq_mk
@[simp]
theorem mk_coeFn (f : α →ₘ[μ] β) : mk f f.aestronglyMeasurable = f := by
conv_rhs => rw [← Quotient.out_eq' f]
set g : { f : α → β // AEStronglyMeasurable f μ } := Quotient.out' f
have : g = ⟨g.1, g.2⟩ := Subtype.eq rfl
rw [this, ← mk, mk_eq_mk]
exact (AEStronglyMeasurable.ae_eq_mk _).symm
#align measure_theory.ae_eq_fun.mk_coe_fn MeasureTheory.AEEqFun.mk_coeFn
@[ext]
theorem ext {f g : α →ₘ[μ] β} (h : f =ᵐ[μ] g) : f = g := by
rwa [← f.mk_coeFn, ← g.mk_coeFn, mk_eq_mk]
#align measure_theory.ae_eq_fun.ext MeasureTheory.AEEqFun.ext
theorem ext_iff {f g : α →ₘ[μ] β} : f = g ↔ f =ᵐ[μ] g :=
⟨fun h => by rw [h], fun h => ext h⟩
#align measure_theory.ae_eq_fun.ext_iff MeasureTheory.AEEqFun.ext_iff
theorem coeFn_mk (f : α → β) (hf) : (mk f hf : α →ₘ[μ] β) =ᵐ[μ] f := by
apply (AEStronglyMeasurable.ae_eq_mk _).symm.trans
exact @Quotient.mk_out' _ (μ.aeEqSetoid β) (⟨f, hf⟩ : { f // AEStronglyMeasurable f μ })
#align measure_theory.ae_eq_fun.coe_fn_mk MeasureTheory.AEEqFun.coeFn_mk
@[elab_as_elim]
theorem induction_on (f : α →ₘ[μ] β) {p : (α →ₘ[μ] β) → Prop} (H : ∀ f hf, p (mk f hf)) : p f :=
Quotient.inductionOn' f <| Subtype.forall.2 H
#align measure_theory.ae_eq_fun.induction_on MeasureTheory.AEEqFun.induction_on
@[elab_as_elim]
theorem induction_on₂ {α' β' : Type*} [MeasurableSpace α'] [TopologicalSpace β'] {μ' : Measure α'}
(f : α →ₘ[μ] β) (f' : α' →ₘ[μ'] β') {p : (α →ₘ[μ] β) → (α' →ₘ[μ'] β') → Prop}
(H : ∀ f hf f' hf', p (mk f hf) (mk f' hf')) : p f f' :=
induction_on f fun f hf => induction_on f' <| H f hf
#align measure_theory.ae_eq_fun.induction_on₂ MeasureTheory.AEEqFun.induction_on₂
@[elab_as_elim]
theorem induction_on₃ {α' β' : Type*} [MeasurableSpace α'] [TopologicalSpace β'] {μ' : Measure α'}
{α'' β'' : Type*} [MeasurableSpace α''] [TopologicalSpace β''] {μ'' : Measure α''}
(f : α →ₘ[μ] β) (f' : α' →ₘ[μ'] β') (f'' : α'' →ₘ[μ''] β'')
{p : (α →ₘ[μ] β) → (α' →ₘ[μ'] β') → (α'' →ₘ[μ''] β'') → Prop}
(H : ∀ f hf f' hf' f'' hf'', p (mk f hf) (mk f' hf') (mk f'' hf'')) : p f f' f'' :=
induction_on f fun f hf => induction_on₂ f' f'' <| H f hf
#align measure_theory.ae_eq_fun.induction_on₃ MeasureTheory.AEEqFun.induction_on₃
/-!
### Composition of an a.e. equal function with a (quasi) measure preserving function
-/
section compQuasiMeasurePreserving
variable [MeasurableSpace β] {ν : MeasureTheory.Measure β} {f : α → β}
open MeasureTheory.Measure (QuasiMeasurePreserving)
/-- Composition of an almost everywhere equal function and a quasi measure preserving function.
See also `AEEqFun.compMeasurePreserving`. -/
def compQuasiMeasurePreserving (g : β →ₘ[ν] γ) (f : α → β) (hf : QuasiMeasurePreserving f μ ν) :
α →ₘ[μ] γ :=
Quotient.liftOn' g (fun g ↦ mk (g ∘ f) <| g.2.comp_quasiMeasurePreserving hf) fun _ _ h ↦
mk_eq_mk.2 <| h.comp_tendsto hf.tendsto_ae
@[simp]
theorem compQuasiMeasurePreserving_mk {g : β → γ} (hg : AEStronglyMeasurable g ν)
(hf : QuasiMeasurePreserving f μ ν) :
(mk g hg).compQuasiMeasurePreserving f hf = mk (g ∘ f) (hg.comp_quasiMeasurePreserving hf) :=
rfl
theorem compQuasiMeasurePreserving_eq_mk (g : β →ₘ[ν] γ) (hf : QuasiMeasurePreserving f μ ν) :
g.compQuasiMeasurePreserving f hf =
mk (g ∘ f) (g.aestronglyMeasurable.comp_quasiMeasurePreserving hf) := by
rw [← compQuasiMeasurePreserving_mk g.aestronglyMeasurable hf, mk_coeFn]
theorem coeFn_compQuasiMeasurePreserving (g : β →ₘ[ν] γ) (hf : QuasiMeasurePreserving f μ ν) :
g.compQuasiMeasurePreserving f hf =ᵐ[μ] g ∘ f := by
rw [compQuasiMeasurePreserving_eq_mk]
apply coeFn_mk
end compQuasiMeasurePreserving
section compMeasurePreserving
variable [MeasurableSpace β] {ν : MeasureTheory.Measure β} {f : α → β} {g : β → γ}
/-- Composition of an almost everywhere equal function and a quasi measure preserving function.
This is an important special case of `AEEqFun.compQuasiMeasurePreserving`. We use a separate
definition so that lemmas that need `f` to be measure preserving can be `@[simp]` lemmas. -/
def compMeasurePreserving (g : β →ₘ[ν] γ) (f : α → β) (hf : MeasurePreserving f μ ν) : α →ₘ[μ] γ :=
g.compQuasiMeasurePreserving f hf.quasiMeasurePreserving
@[simp]
theorem compMeasurePreserving_mk (hg : AEStronglyMeasurable g ν) (hf : MeasurePreserving f μ ν) :
(mk g hg).compMeasurePreserving f hf =
mk (g ∘ f) (hg.comp_quasiMeasurePreserving hf.quasiMeasurePreserving) :=
rfl
theorem compMeasurePreserving_eq_mk (g : β →ₘ[ν] γ) (hf : MeasurePreserving f μ ν) :
g.compMeasurePreserving f hf =
mk (g ∘ f) (g.aestronglyMeasurable.comp_quasiMeasurePreserving hf.quasiMeasurePreserving) :=
g.compQuasiMeasurePreserving_eq_mk _
theorem coeFn_compMeasurePreserving (g : β →ₘ[ν] γ) (hf : MeasurePreserving f μ ν) :
g.compMeasurePreserving f hf =ᵐ[μ] g ∘ f :=
g.coeFn_compQuasiMeasurePreserving _
end compMeasurePreserving
/-- Given a continuous function `g : β → γ`, and an almost everywhere equal function `[f] : α →ₘ β`,
return the equivalence class of `g ∘ f`, i.e., the almost everywhere equal function
`[g ∘ f] : α →ₘ γ`. -/
def comp (g : β → γ) (hg : Continuous g) (f : α →ₘ[μ] β) : α →ₘ[μ] γ :=
Quotient.liftOn' f (fun f => mk (g ∘ (f : α → β)) (hg.comp_aestronglyMeasurable f.2))
fun _ _ H => mk_eq_mk.2 <| H.fun_comp g
#align measure_theory.ae_eq_fun.comp MeasureTheory.AEEqFun.comp
@[simp]
theorem comp_mk (g : β → γ) (hg : Continuous g) (f : α → β) (hf) :
comp g hg (mk f hf : α →ₘ[μ] β) = mk (g ∘ f) (hg.comp_aestronglyMeasurable hf) :=
rfl
#align measure_theory.ae_eq_fun.comp_mk MeasureTheory.AEEqFun.comp_mk
theorem comp_eq_mk (g : β → γ) (hg : Continuous g) (f : α →ₘ[μ] β) :
comp g hg f = mk (g ∘ f) (hg.comp_aestronglyMeasurable f.aestronglyMeasurable) := by
rw [← comp_mk g hg f f.aestronglyMeasurable, mk_coeFn]
#align measure_theory.ae_eq_fun.comp_eq_mk MeasureTheory.AEEqFun.comp_eq_mk
theorem coeFn_comp (g : β → γ) (hg : Continuous g) (f : α →ₘ[μ] β) : comp g hg f =ᵐ[μ] g ∘ f := by
rw [comp_eq_mk]
apply coeFn_mk
#align measure_theory.ae_eq_fun.coe_fn_comp MeasureTheory.AEEqFun.coeFn_comp
theorem comp_compQuasiMeasurePreserving [MeasurableSpace β] {ν} (g : γ → δ) (hg : Continuous g)
(f : β →ₘ[ν] γ) {φ : α → β} (hφ : Measure.QuasiMeasurePreserving φ μ ν) :
(comp g hg f).compQuasiMeasurePreserving φ hφ =
comp g hg (f.compQuasiMeasurePreserving φ hφ) := by
rcases f; rfl
section CompMeasurable
variable [MeasurableSpace β] [PseudoMetrizableSpace β] [BorelSpace β] [MeasurableSpace γ]
[PseudoMetrizableSpace γ] [OpensMeasurableSpace γ] [SecondCountableTopology γ]
/-- Given a measurable function `g : β → γ`, and an almost everywhere equal function `[f] : α →ₘ β`,
return the equivalence class of `g ∘ f`, i.e., the almost everywhere equal function
`[g ∘ f] : α →ₘ γ`. This requires that `γ` has a second countable topology. -/
def compMeasurable (g : β → γ) (hg : Measurable g) (f : α →ₘ[μ] β) : α →ₘ[μ] γ :=
Quotient.liftOn' f
(fun f' => mk (g ∘ (f' : α → β)) (hg.comp_aemeasurable f'.2.aemeasurable).aestronglyMeasurable)
fun _ _ H => mk_eq_mk.2 <| H.fun_comp g
#align measure_theory.ae_eq_fun.comp_measurable MeasureTheory.AEEqFun.compMeasurable
@[simp]
theorem compMeasurable_mk (g : β → γ) (hg : Measurable g) (f : α → β)
(hf : AEStronglyMeasurable f μ) :
compMeasurable g hg (mk f hf : α →ₘ[μ] β) =
mk (g ∘ f) (hg.comp_aemeasurable hf.aemeasurable).aestronglyMeasurable :=
rfl
#align measure_theory.ae_eq_fun.comp_measurable_mk MeasureTheory.AEEqFun.compMeasurable_mk
theorem compMeasurable_eq_mk (g : β → γ) (hg : Measurable g) (f : α →ₘ[μ] β) :
compMeasurable g hg f =
mk (g ∘ f) (hg.comp_aemeasurable f.aemeasurable).aestronglyMeasurable := by
rw [← compMeasurable_mk g hg f f.aestronglyMeasurable, mk_coeFn]
#align measure_theory.ae_eq_fun.comp_measurable_eq_mk MeasureTheory.AEEqFun.compMeasurable_eq_mk
theorem coeFn_compMeasurable (g : β → γ) (hg : Measurable g) (f : α →ₘ[μ] β) :
compMeasurable g hg f =ᵐ[μ] g ∘ f := by
rw [compMeasurable_eq_mk]
apply coeFn_mk
#align measure_theory.ae_eq_fun.coe_fn_comp_measurable MeasureTheory.AEEqFun.coeFn_compMeasurable
end CompMeasurable
/-- The class of `x ↦ (f x, g x)`. -/
def pair (f : α →ₘ[μ] β) (g : α →ₘ[μ] γ) : α →ₘ[μ] β × γ :=
Quotient.liftOn₂' f g (fun f g => mk (fun x => (f.1 x, g.1 x)) (f.2.prod_mk g.2))
fun _f _g _f' _g' Hf Hg => mk_eq_mk.2 <| Hf.prod_mk Hg
#align measure_theory.ae_eq_fun.pair MeasureTheory.AEEqFun.pair
@[simp]
theorem pair_mk_mk (f : α → β) (hf) (g : α → γ) (hg) :
(mk f hf : α →ₘ[μ] β).pair (mk g hg) = mk (fun x => (f x, g x)) (hf.prod_mk hg) :=
rfl
#align measure_theory.ae_eq_fun.pair_mk_mk MeasureTheory.AEEqFun.pair_mk_mk
theorem pair_eq_mk (f : α →ₘ[μ] β) (g : α →ₘ[μ] γ) :
f.pair g =
mk (fun x => (f x, g x)) (f.aestronglyMeasurable.prod_mk g.aestronglyMeasurable) := by
simp only [← pair_mk_mk, mk_coeFn, f.aestronglyMeasurable, g.aestronglyMeasurable]
#align measure_theory.ae_eq_fun.pair_eq_mk MeasureTheory.AEEqFun.pair_eq_mk
theorem coeFn_pair (f : α →ₘ[μ] β) (g : α →ₘ[μ] γ) : f.pair g =ᵐ[μ] fun x => (f x, g x) := by
rw [pair_eq_mk]
apply coeFn_mk
#align measure_theory.ae_eq_fun.coe_fn_pair MeasureTheory.AEEqFun.coeFn_pair
/-- Given a continuous function `g : β → γ → δ`, and almost everywhere equal functions
`[f₁] : α →ₘ β` and `[f₂] : α →ₘ γ`, return the equivalence class of the function
`fun a => g (f₁ a) (f₂ a)`, i.e., the almost everywhere equal function
`[fun a => g (f₁ a) (f₂ a)] : α →ₘ γ` -/
def comp₂ (g : β → γ → δ) (hg : Continuous (uncurry g)) (f₁ : α →ₘ[μ] β) (f₂ : α →ₘ[μ] γ) :
α →ₘ[μ] δ :=
comp _ hg (f₁.pair f₂)
#align measure_theory.ae_eq_fun.comp₂ MeasureTheory.AEEqFun.comp₂
@[simp]
theorem comp₂_mk_mk (g : β → γ → δ) (hg : Continuous (uncurry g)) (f₁ : α → β) (f₂ : α → γ)
(hf₁ hf₂) :
comp₂ g hg (mk f₁ hf₁ : α →ₘ[μ] β) (mk f₂ hf₂) =
mk (fun a => g (f₁ a) (f₂ a)) (hg.comp_aestronglyMeasurable (hf₁.prod_mk hf₂)) :=
rfl
#align measure_theory.ae_eq_fun.comp₂_mk_mk MeasureTheory.AEEqFun.comp₂_mk_mk
theorem comp₂_eq_pair (g : β → γ → δ) (hg : Continuous (uncurry g)) (f₁ : α →ₘ[μ] β)
(f₂ : α →ₘ[μ] γ) : comp₂ g hg f₁ f₂ = comp _ hg (f₁.pair f₂) :=
rfl
#align measure_theory.ae_eq_fun.comp₂_eq_pair MeasureTheory.AEEqFun.comp₂_eq_pair
theorem comp₂_eq_mk (g : β → γ → δ) (hg : Continuous (uncurry g)) (f₁ : α →ₘ[μ] β)
(f₂ : α →ₘ[μ] γ) : comp₂ g hg f₁ f₂ = mk (fun a => g (f₁ a) (f₂ a))
(hg.comp_aestronglyMeasurable (f₁.aestronglyMeasurable.prod_mk f₂.aestronglyMeasurable)) := by
rw [comp₂_eq_pair, pair_eq_mk, comp_mk]; rfl
#align measure_theory.ae_eq_fun.comp₂_eq_mk MeasureTheory.AEEqFun.comp₂_eq_mk
theorem coeFn_comp₂ (g : β → γ → δ) (hg : Continuous (uncurry g)) (f₁ : α →ₘ[μ] β)
(f₂ : α →ₘ[μ] γ) : comp₂ g hg f₁ f₂ =ᵐ[μ] fun a => g (f₁ a) (f₂ a) := by
rw [comp₂_eq_mk]
apply coeFn_mk
#align measure_theory.ae_eq_fun.coe_fn_comp₂ MeasureTheory.AEEqFun.coeFn_comp₂
section
variable [MeasurableSpace β] [PseudoMetrizableSpace β] [BorelSpace β]
[MeasurableSpace γ] [PseudoMetrizableSpace γ] [BorelSpace γ] [SecondCountableTopologyEither β γ]
[MeasurableSpace δ] [PseudoMetrizableSpace δ] [OpensMeasurableSpace δ] [SecondCountableTopology δ]
/-- Given a measurable function `g : β → γ → δ`, and almost everywhere equal functions
`[f₁] : α →ₘ β` and `[f₂] : α →ₘ γ`, return the equivalence class of the function
`fun a => g (f₁ a) (f₂ a)`, i.e., the almost everywhere equal function
`[fun a => g (f₁ a) (f₂ a)] : α →ₘ γ`. This requires `δ` to have second-countable topology. -/
def comp₂Measurable (g : β → γ → δ) (hg : Measurable (uncurry g)) (f₁ : α →ₘ[μ] β)
(f₂ : α →ₘ[μ] γ) : α →ₘ[μ] δ :=
compMeasurable _ hg (f₁.pair f₂)
#align measure_theory.ae_eq_fun.comp₂_measurable MeasureTheory.AEEqFun.comp₂Measurable
@[simp]
theorem comp₂Measurable_mk_mk (g : β → γ → δ) (hg : Measurable (uncurry g)) (f₁ : α → β)
(f₂ : α → γ) (hf₁ hf₂) :
comp₂Measurable g hg (mk f₁ hf₁ : α →ₘ[μ] β) (mk f₂ hf₂) =
mk (fun a => g (f₁ a) (f₂ a))
(hg.comp_aemeasurable (hf₁.aemeasurable.prod_mk hf₂.aemeasurable)).aestronglyMeasurable :=
rfl
#align measure_theory.ae_eq_fun.comp₂_measurable_mk_mk MeasureTheory.AEEqFun.comp₂Measurable_mk_mk
theorem comp₂Measurable_eq_pair (g : β → γ → δ) (hg : Measurable (uncurry g)) (f₁ : α →ₘ[μ] β)
(f₂ : α →ₘ[μ] γ) : comp₂Measurable g hg f₁ f₂ = compMeasurable _ hg (f₁.pair f₂) :=
rfl
#align measure_theory.ae_eq_fun.comp₂_measurable_eq_pair MeasureTheory.AEEqFun.comp₂Measurable_eq_pair
theorem comp₂Measurable_eq_mk (g : β → γ → δ) (hg : Measurable (uncurry g)) (f₁ : α →ₘ[μ] β)
(f₂ : α →ₘ[μ] γ) :
comp₂Measurable g hg f₁ f₂ =
mk (fun a => g (f₁ a) (f₂ a))
(hg.comp_aemeasurable (f₁.aemeasurable.prod_mk f₂.aemeasurable)).aestronglyMeasurable := by
rw [comp₂Measurable_eq_pair, pair_eq_mk, compMeasurable_mk]; rfl
#align measure_theory.ae_eq_fun.comp₂_measurable_eq_mk MeasureTheory.AEEqFun.comp₂Measurable_eq_mk
| Mathlib/MeasureTheory/Function/AEEqFun.lean | 428 | 431 | theorem coeFn_comp₂Measurable (g : β → γ → δ) (hg : Measurable (uncurry g)) (f₁ : α →ₘ[μ] β)
(f₂ : α →ₘ[μ] γ) : comp₂Measurable g hg f₁ f₂ =ᵐ[μ] fun a => g (f₁ a) (f₂ a) := by |
rw [comp₂Measurable_eq_mk]
apply coeFn_mk
|
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import Mathlib.Algebra.Algebra.Operations
import Mathlib.Data.Fintype.Lattice
import Mathlib.RingTheory.Coprime.Lemmas
#align_import ring_theory.ideal.operations from "leanprover-community/mathlib"@"e7f0ddbf65bd7181a85edb74b64bdc35ba4bdc74"
/-!
# More operations on modules and ideals
-/
assert_not_exists Basis -- See `RingTheory.Ideal.Basis`
assert_not_exists Submodule.hasQuotient -- See `RingTheory.Ideal.QuotientOperations`
universe u v w x
open Pointwise
namespace Submodule
variable {R : Type u} {M : Type v} {M' F G : Type*}
section CommSemiring
variable [CommSemiring R] [AddCommMonoid M] [Module R M] [AddCommMonoid M'] [Module R M']
open Pointwise
instance hasSMul' : SMul (Ideal R) (Submodule R M) :=
⟨Submodule.map₂ (LinearMap.lsmul R M)⟩
#align submodule.has_smul' Submodule.hasSMul'
/-- This duplicates the global `smul_eq_mul`, but doesn't have to unfold anywhere near as much to
apply. -/
protected theorem _root_.Ideal.smul_eq_mul (I J : Ideal R) : I • J = I * J :=
rfl
#align ideal.smul_eq_mul Ideal.smul_eq_mul
variable (R M) in
/-- `Module.annihilator R M` is the ideal of all elements `r : R` such that `r • M = 0`. -/
def _root_.Module.annihilator : Ideal R := LinearMap.ker (LinearMap.lsmul R M)
theorem _root_.Module.mem_annihilator {r} : r ∈ Module.annihilator R M ↔ ∀ m : M, r • m = 0 :=
⟨fun h ↦ (congr($h ·)), (LinearMap.ext ·)⟩
theorem _root_.LinearMap.annihilator_le_of_injective (f : M →ₗ[R] M') (hf : Function.Injective f) :
Module.annihilator R M' ≤ Module.annihilator R M := fun x h ↦ by
rw [Module.mem_annihilator] at h ⊢; exact fun m ↦ hf (by rw [map_smul, h, f.map_zero])
theorem _root_.LinearMap.annihilator_le_of_surjective (f : M →ₗ[R] M')
(hf : Function.Surjective f) : Module.annihilator R M ≤ Module.annihilator R M' := fun x h ↦ by
rw [Module.mem_annihilator] at h ⊢
intro m; obtain ⟨m, rfl⟩ := hf m
rw [← map_smul, h, f.map_zero]
theorem _root_.LinearEquiv.annihilator_eq (e : M ≃ₗ[R] M') :
Module.annihilator R M = Module.annihilator R M' :=
(e.annihilator_le_of_surjective e.surjective).antisymm (e.annihilator_le_of_injective e.injective)
/-- `N.annihilator` is the ideal of all elements `r : R` such that `r • N = 0`. -/
abbrev annihilator (N : Submodule R M) : Ideal R :=
Module.annihilator R N
#align submodule.annihilator Submodule.annihilator
theorem annihilator_top : (⊤ : Submodule R M).annihilator = Module.annihilator R M :=
topEquiv.annihilator_eq
variable {I J : Ideal R} {N P : Submodule R M}
theorem mem_annihilator {r} : r ∈ N.annihilator ↔ ∀ n ∈ N, r • n = (0 : M) := by
simp_rw [annihilator, Module.mem_annihilator, Subtype.forall, Subtype.ext_iff]; rfl
#align submodule.mem_annihilator Submodule.mem_annihilator
theorem mem_annihilator' {r} : r ∈ N.annihilator ↔ N ≤ comap (r • (LinearMap.id : M →ₗ[R] M)) ⊥ :=
mem_annihilator.trans ⟨fun H n hn => (mem_bot R).2 <| H n hn, fun H _ hn => (mem_bot R).1 <| H hn⟩
#align submodule.mem_annihilator' Submodule.mem_annihilator'
theorem mem_annihilator_span (s : Set M) (r : R) :
r ∈ (Submodule.span R s).annihilator ↔ ∀ n : s, r • (n : M) = 0 := by
rw [Submodule.mem_annihilator]
constructor
· intro h n
exact h _ (Submodule.subset_span n.prop)
· intro h n hn
refine Submodule.span_induction hn ?_ ?_ ?_ ?_
· intro x hx
exact h ⟨x, hx⟩
· exact smul_zero _
· intro x y hx hy
rw [smul_add, hx, hy, zero_add]
· intro a x hx
rw [smul_comm, hx, smul_zero]
#align submodule.mem_annihilator_span Submodule.mem_annihilator_span
theorem mem_annihilator_span_singleton (g : M) (r : R) :
r ∈ (Submodule.span R ({g} : Set M)).annihilator ↔ r • g = 0 := by simp [mem_annihilator_span]
#align submodule.mem_annihilator_span_singleton Submodule.mem_annihilator_span_singleton
theorem annihilator_bot : (⊥ : Submodule R M).annihilator = ⊤ :=
(Ideal.eq_top_iff_one _).2 <| mem_annihilator'.2 bot_le
#align submodule.annihilator_bot Submodule.annihilator_bot
theorem annihilator_eq_top_iff : N.annihilator = ⊤ ↔ N = ⊥ :=
⟨fun H =>
eq_bot_iff.2 fun (n : M) hn =>
(mem_bot R).2 <| one_smul R n ▸ mem_annihilator.1 ((Ideal.eq_top_iff_one _).1 H) n hn,
fun H => H.symm ▸ annihilator_bot⟩
#align submodule.annihilator_eq_top_iff Submodule.annihilator_eq_top_iff
theorem annihilator_mono (h : N ≤ P) : P.annihilator ≤ N.annihilator := fun _ hrp =>
mem_annihilator.2 fun n hn => mem_annihilator.1 hrp n <| h hn
#align submodule.annihilator_mono Submodule.annihilator_mono
theorem annihilator_iSup (ι : Sort w) (f : ι → Submodule R M) :
annihilator (⨆ i, f i) = ⨅ i, annihilator (f i) :=
le_antisymm (le_iInf fun _ => annihilator_mono <| le_iSup _ _) fun _ H =>
mem_annihilator'.2 <|
iSup_le fun i =>
have := (mem_iInf _).1 H i
mem_annihilator'.1 this
#align submodule.annihilator_supr Submodule.annihilator_iSup
theorem smul_mem_smul {r} {n} (hr : r ∈ I) (hn : n ∈ N) : r • n ∈ I • N :=
apply_mem_map₂ _ hr hn
#align submodule.smul_mem_smul Submodule.smul_mem_smul
theorem smul_le {P : Submodule R M} : I • N ≤ P ↔ ∀ r ∈ I, ∀ n ∈ N, r • n ∈ P :=
map₂_le
#align submodule.smul_le Submodule.smul_le
@[simp, norm_cast]
lemma coe_set_smul : (I : Set R) • N = I • N :=
Submodule.set_smul_eq_of_le _ _ _
(fun _ _ hr hx => smul_mem_smul hr hx)
(smul_le.mpr fun _ hr _ hx => mem_set_smul_of_mem_mem hr hx)
@[elab_as_elim]
theorem smul_induction_on {p : M → Prop} {x} (H : x ∈ I • N) (smul : ∀ r ∈ I, ∀ n ∈ N, p (r • n))
(add : ∀ x y, p x → p y → p (x + y)) : p x := by
have H0 : p 0 := by simpa only [zero_smul] using smul 0 I.zero_mem 0 N.zero_mem
refine Submodule.iSup_induction (x := x) _ H ?_ H0 add
rintro ⟨i, hi⟩ m ⟨j, hj, hj'⟩
rw [← hj']
exact smul _ hi _ hj
#align submodule.smul_induction_on Submodule.smul_induction_on
/-- Dependent version of `Submodule.smul_induction_on`. -/
@[elab_as_elim]
theorem smul_induction_on' {x : M} (hx : x ∈ I • N) {p : ∀ x, x ∈ I • N → Prop}
(smul : ∀ (r : R) (hr : r ∈ I) (n : M) (hn : n ∈ N), p (r • n) (smul_mem_smul hr hn))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›)) : p x hx := by
refine Exists.elim ?_ fun (h : x ∈ I • N) (H : p x h) => H
exact
smul_induction_on hx (fun a ha x hx => ⟨_, smul _ ha _ hx⟩) fun x y ⟨_, hx⟩ ⟨_, hy⟩ =>
⟨_, add _ _ _ _ hx hy⟩
#align submodule.smul_induction_on' Submodule.smul_induction_on'
theorem mem_smul_span_singleton {I : Ideal R} {m : M} {x : M} :
x ∈ I • span R ({m} : Set M) ↔ ∃ y ∈ I, y • m = x :=
⟨fun hx =>
smul_induction_on hx
(fun r hri n hnm =>
let ⟨s, hs⟩ := mem_span_singleton.1 hnm
⟨r * s, I.mul_mem_right _ hri, hs ▸ mul_smul r s m⟩)
fun m1 m2 ⟨y1, hyi1, hy1⟩ ⟨y2, hyi2, hy2⟩ =>
⟨y1 + y2, I.add_mem hyi1 hyi2, by rw [add_smul, hy1, hy2]⟩,
fun ⟨y, hyi, hy⟩ => hy ▸ smul_mem_smul hyi (subset_span <| Set.mem_singleton m)⟩
#align submodule.mem_smul_span_singleton Submodule.mem_smul_span_singleton
theorem smul_le_right : I • N ≤ N :=
smul_le.2 fun r _ _ => N.smul_mem r
#align submodule.smul_le_right Submodule.smul_le_right
theorem smul_mono (hij : I ≤ J) (hnp : N ≤ P) : I • N ≤ J • P :=
map₂_le_map₂ hij hnp
#align submodule.smul_mono Submodule.smul_mono
theorem smul_mono_left (h : I ≤ J) : I • N ≤ J • N :=
map₂_le_map₂_left h
#align submodule.smul_mono_left Submodule.smul_mono_left
instance : CovariantClass (Ideal R) (Submodule R M) HSMul.hSMul LE.le :=
⟨fun _ _ => map₂_le_map₂_right⟩
@[deprecated smul_mono_right (since := "2024-03-31")]
protected theorem smul_mono_right (h : N ≤ P) : I • N ≤ I • P :=
_root_.smul_mono_right I h
#align submodule.smul_mono_right Submodule.smul_mono_right
theorem map_le_smul_top (I : Ideal R) (f : R →ₗ[R] M) :
Submodule.map f I ≤ I • (⊤ : Submodule R M) := by
rintro _ ⟨y, hy, rfl⟩
rw [← mul_one y, ← smul_eq_mul, f.map_smul]
exact smul_mem_smul hy mem_top
#align submodule.map_le_smul_top Submodule.map_le_smul_top
@[simp]
theorem annihilator_smul (N : Submodule R M) : annihilator N • N = ⊥ :=
eq_bot_iff.2 (smul_le.2 fun _ => mem_annihilator.1)
#align submodule.annihilator_smul Submodule.annihilator_smul
@[simp]
theorem annihilator_mul (I : Ideal R) : annihilator I * I = ⊥ :=
annihilator_smul I
#align submodule.annihilator_mul Submodule.annihilator_mul
@[simp]
theorem mul_annihilator (I : Ideal R) : I * annihilator I = ⊥ := by rw [mul_comm, annihilator_mul]
#align submodule.mul_annihilator Submodule.mul_annihilator
variable (I J N P)
@[simp]
theorem smul_bot : I • (⊥ : Submodule R M) = ⊥ :=
map₂_bot_right _ _
#align submodule.smul_bot Submodule.smul_bot
@[simp]
theorem bot_smul : (⊥ : Ideal R) • N = ⊥ :=
map₂_bot_left _ _
#align submodule.bot_smul Submodule.bot_smul
@[simp]
theorem top_smul : (⊤ : Ideal R) • N = N :=
le_antisymm smul_le_right fun r hri => one_smul R r ▸ smul_mem_smul mem_top hri
#align submodule.top_smul Submodule.top_smul
theorem smul_sup : I • (N ⊔ P) = I • N ⊔ I • P :=
map₂_sup_right _ _ _ _
#align submodule.smul_sup Submodule.smul_sup
theorem sup_smul : (I ⊔ J) • N = I • N ⊔ J • N :=
map₂_sup_left _ _ _ _
#align submodule.sup_smul Submodule.sup_smul
protected theorem smul_assoc : (I • J) • N = I • J • N :=
le_antisymm
(smul_le.2 fun _ hrsij t htn =>
smul_induction_on hrsij
(fun r hr s hs =>
(@smul_eq_mul R _ r s).symm ▸ smul_smul r s t ▸ smul_mem_smul hr (smul_mem_smul hs htn))
fun x y => (add_smul x y t).symm ▸ Submodule.add_mem _)
(smul_le.2 fun r hr _ hsn =>
suffices J • N ≤ Submodule.comap (r • (LinearMap.id : M →ₗ[R] M)) ((I • J) • N) from this hsn
smul_le.2 fun s hs n hn =>
show r • s • n ∈ (I • J) • N from mul_smul r s n ▸ smul_mem_smul (smul_mem_smul hr hs) hn)
#align submodule.smul_assoc Submodule.smul_assoc
@[deprecated smul_inf_le (since := "2024-03-31")]
protected theorem smul_inf_le (M₁ M₂ : Submodule R M) :
I • (M₁ ⊓ M₂) ≤ I • M₁ ⊓ I • M₂ := smul_inf_le _ _ _
#align submodule.smul_inf_le Submodule.smul_inf_le
theorem smul_iSup {ι : Sort*} {I : Ideal R} {t : ι → Submodule R M} : I • iSup t = ⨆ i, I • t i :=
map₂_iSup_right _ _ _
#align submodule.smul_supr Submodule.smul_iSup
@[deprecated smul_iInf_le (since := "2024-03-31")]
protected theorem smul_iInf_le {ι : Sort*} {I : Ideal R} {t : ι → Submodule R M} :
I • iInf t ≤ ⨅ i, I • t i :=
smul_iInf_le
#align submodule.smul_infi_le Submodule.smul_iInf_le
variable (S : Set R) (T : Set M)
theorem span_smul_span : Ideal.span S • span R T = span R (⋃ (s ∈ S) (t ∈ T), {s • t}) :=
(map₂_span_span _ _ _ _).trans <| congr_arg _ <| Set.image2_eq_iUnion _ _ _
#align submodule.span_smul_span Submodule.span_smul_span
theorem ideal_span_singleton_smul (r : R) (N : Submodule R M) :
(Ideal.span {r} : Ideal R) • N = r • N := by
have : span R (⋃ (t : M) (_ : t ∈ N), {r • t}) = r • N := by
convert span_eq (r • N)
exact (Set.image_eq_iUnion _ (N : Set M)).symm
conv_lhs => rw [← span_eq N, span_smul_span]
simpa
#align submodule.ideal_span_singleton_smul Submodule.ideal_span_singleton_smul
theorem mem_of_span_top_of_smul_mem (M' : Submodule R M) (s : Set R) (hs : Ideal.span s = ⊤) (x : M)
(H : ∀ r : s, (r : R) • x ∈ M') : x ∈ M' := by
suffices (⊤ : Ideal R) • span R ({x} : Set M) ≤ M' by
rw [top_smul] at this
exact this (subset_span (Set.mem_singleton x))
rw [← hs, span_smul_span, span_le]
simpa using H
#align submodule.mem_of_span_top_of_smul_mem Submodule.mem_of_span_top_of_smul_mem
/-- Given `s`, a generating set of `R`, to check that an `x : M` falls in a
submodule `M'` of `x`, we only need to show that `r ^ n • x ∈ M'` for some `n` for each `r : s`. -/
theorem mem_of_span_eq_top_of_smul_pow_mem (M' : Submodule R M) (s : Set R) (hs : Ideal.span s = ⊤)
(x : M) (H : ∀ r : s, ∃ n : ℕ, ((r : R) ^ n : R) • x ∈ M') : x ∈ M' := by
obtain ⟨s', hs₁, hs₂⟩ := (Ideal.span_eq_top_iff_finite _).mp hs
replace H : ∀ r : s', ∃ n : ℕ, ((r : R) ^ n : R) • x ∈ M' := fun r => H ⟨_, hs₁ r.2⟩
choose n₁ n₂ using H
let N := s'.attach.sup n₁
have hs' := Ideal.span_pow_eq_top (s' : Set R) hs₂ N
apply M'.mem_of_span_top_of_smul_mem _ hs'
rintro ⟨_, r, hr, rfl⟩
convert M'.smul_mem (r ^ (N - n₁ ⟨r, hr⟩)) (n₂ ⟨r, hr⟩) using 1
simp only [Subtype.coe_mk, smul_smul, ← pow_add]
rw [tsub_add_cancel_of_le (Finset.le_sup (s'.mem_attach _) : n₁ ⟨r, hr⟩ ≤ N)]
#align submodule.mem_of_span_eq_top_of_smul_pow_mem Submodule.mem_of_span_eq_top_of_smul_pow_mem
variable {M' : Type w} [AddCommMonoid M'] [Module R M']
@[simp]
theorem map_smul'' (f : M →ₗ[R] M') : (I • N).map f = I • N.map f :=
le_antisymm
(map_le_iff_le_comap.2 <|
smul_le.2 fun r hr n hn =>
show f (r • n) ∈ I • N.map f from
(f.map_smul r n).symm ▸ smul_mem_smul hr (mem_map_of_mem hn)) <|
smul_le.2 fun r hr _ hn =>
let ⟨p, hp, hfp⟩ := mem_map.1 hn
hfp ▸ f.map_smul r p ▸ mem_map_of_mem (smul_mem_smul hr hp)
#align submodule.map_smul'' Submodule.map_smul''
open Pointwise in
@[simp]
theorem map_pointwise_smul (r : R) (N : Submodule R M) (f : M →ₗ[R] M') :
(r • N).map f = r • N.map f := by
simp_rw [← ideal_span_singleton_smul, map_smul'']
variable {I}
theorem mem_smul_span {s : Set M} {x : M} :
x ∈ I • Submodule.span R s ↔ x ∈ Submodule.span R (⋃ (a ∈ I) (b ∈ s), ({a • b} : Set M)) := by
rw [← I.span_eq, Submodule.span_smul_span, I.span_eq]
rfl
#align submodule.mem_smul_span Submodule.mem_smul_span
variable (I)
/-- If `x` is an `I`-multiple of the submodule spanned by `f '' s`,
then we can write `x` as an `I`-linear combination of the elements of `f '' s`. -/
theorem mem_ideal_smul_span_iff_exists_sum {ι : Type*} (f : ι → M) (x : M) :
x ∈ I • span R (Set.range f) ↔
∃ (a : ι →₀ R) (_ : ∀ i, a i ∈ I), (a.sum fun i c => c • f i) = x := by
constructor; swap
· rintro ⟨a, ha, rfl⟩
exact Submodule.sum_mem _ fun c _ => smul_mem_smul (ha c) <| subset_span <| Set.mem_range_self _
refine fun hx => span_induction (mem_smul_span.mp hx) ?_ ?_ ?_ ?_
· simp only [Set.mem_iUnion, Set.mem_range, Set.mem_singleton_iff]
rintro x ⟨y, hy, x, ⟨i, rfl⟩, rfl⟩
refine ⟨Finsupp.single i y, fun j => ?_, ?_⟩
· letI := Classical.decEq ι
rw [Finsupp.single_apply]
split_ifs
· assumption
· exact I.zero_mem
refine @Finsupp.sum_single_index ι R M _ _ i _ (fun i y => y • f i) ?_
simp
· exact ⟨0, fun _ => I.zero_mem, Finsupp.sum_zero_index⟩
· rintro x y ⟨ax, hax, rfl⟩ ⟨ay, hay, rfl⟩
refine ⟨ax + ay, fun i => I.add_mem (hax i) (hay i), Finsupp.sum_add_index' ?_ ?_⟩ <;>
intros <;> simp only [zero_smul, add_smul]
· rintro c x ⟨a, ha, rfl⟩
refine ⟨c • a, fun i => I.mul_mem_left c (ha i), ?_⟩
rw [Finsupp.sum_smul_index, Finsupp.smul_sum] <;> intros <;> simp only [zero_smul, mul_smul]
#align submodule.mem_ideal_smul_span_iff_exists_sum Submodule.mem_ideal_smul_span_iff_exists_sum
theorem mem_ideal_smul_span_iff_exists_sum' {ι : Type*} (s : Set ι) (f : ι → M) (x : M) :
x ∈ I • span R (f '' s) ↔
∃ (a : s →₀ R) (_ : ∀ i, a i ∈ I), (a.sum fun i c => c • f i) = x := by
rw [← Submodule.mem_ideal_smul_span_iff_exists_sum, ← Set.image_eq_range]
#align submodule.mem_ideal_smul_span_iff_exists_sum' Submodule.mem_ideal_smul_span_iff_exists_sum'
theorem mem_smul_top_iff (N : Submodule R M) (x : N) :
x ∈ I • (⊤ : Submodule R N) ↔ (x : M) ∈ I • N := by
change _ ↔ N.subtype x ∈ I • N
have : Submodule.map N.subtype (I • ⊤) = I • N := by
rw [Submodule.map_smul'', Submodule.map_top, Submodule.range_subtype]
rw [← this]
exact (Function.Injective.mem_set_image N.injective_subtype).symm
#align submodule.mem_smul_top_iff Submodule.mem_smul_top_iff
@[simp]
theorem smul_comap_le_comap_smul (f : M →ₗ[R] M') (S : Submodule R M') (I : Ideal R) :
I • S.comap f ≤ (I • S).comap f := by
refine Submodule.smul_le.mpr fun r hr x hx => ?_
rw [Submodule.mem_comap] at hx ⊢
rw [f.map_smul]
exact Submodule.smul_mem_smul hr hx
#align submodule.smul_comap_le_comap_smul Submodule.smul_comap_le_comap_smul
end CommSemiring
end Submodule
namespace Ideal
section Add
variable {R : Type u} [Semiring R]
@[simp]
theorem add_eq_sup {I J : Ideal R} : I + J = I ⊔ J :=
rfl
#align ideal.add_eq_sup Ideal.add_eq_sup
@[simp]
theorem zero_eq_bot : (0 : Ideal R) = ⊥ :=
rfl
#align ideal.zero_eq_bot Ideal.zero_eq_bot
@[simp]
theorem sum_eq_sup {ι : Type*} (s : Finset ι) (f : ι → Ideal R) : s.sum f = s.sup f :=
rfl
#align ideal.sum_eq_sup Ideal.sum_eq_sup
end Add
section MulAndRadical
variable {R : Type u} {ι : Type*} [CommSemiring R]
variable {I J K L : Ideal R}
instance : Mul (Ideal R) :=
⟨(· • ·)⟩
@[simp]
theorem one_eq_top : (1 : Ideal R) = ⊤ := by erw [Submodule.one_eq_range, LinearMap.range_id]
#align ideal.one_eq_top Ideal.one_eq_top
| Mathlib/RingTheory/Ideal/Operations.lean | 429 | 430 | theorem add_eq_one_iff : I + J = 1 ↔ ∃ i ∈ I, ∃ j ∈ J, i + j = 1 := by |
rw [one_eq_top, eq_top_iff_one, add_eq_sup, Submodule.mem_sup]
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.Algebra.Group.Aut
import Mathlib.Algebra.Group.Invertible.Basic
import Mathlib.Algebra.GroupWithZero.Units.Basic
import Mathlib.GroupTheory.GroupAction.Units
#align_import group_theory.group_action.group from "leanprover-community/mathlib"@"3b52265189f3fb43aa631edffce5d060fafaf82f"
/-!
# Group actions applied to various types of group
This file contains lemmas about `SMul` on `GroupWithZero`, and `Group`.
-/
universe u v w
variable {α : Type u} {β : Type v} {γ : Type w}
section MulAction
section Group
variable [Group α] [MulAction α β]
@[to_additive (attr := simp)]
theorem inv_smul_smul (c : α) (x : β) : c⁻¹ • c • x = x := by rw [smul_smul, mul_left_inv, one_smul]
#align inv_smul_smul inv_smul_smul
#align neg_vadd_vadd neg_vadd_vadd
@[to_additive (attr := simp)]
theorem smul_inv_smul (c : α) (x : β) : c • c⁻¹ • x = x := by
rw [smul_smul, mul_right_inv, one_smul]
#align smul_inv_smul smul_inv_smul
#align vadd_neg_vadd vadd_neg_vadd
/-- Given an action of a group `α` on `β`, each `g : α` defines a permutation of `β`. -/
@[to_additive (attr := simps)]
def MulAction.toPerm (a : α) : Equiv.Perm β :=
⟨fun x => a • x, fun x => a⁻¹ • x, inv_smul_smul a, smul_inv_smul a⟩
#align mul_action.to_perm MulAction.toPerm
#align add_action.to_perm AddAction.toPerm
#align add_action.to_perm_apply AddAction.toPerm_apply
#align mul_action.to_perm_apply MulAction.toPerm_apply
#align add_action.to_perm_symm_apply AddAction.toPerm_symm_apply
#align mul_action.to_perm_symm_apply MulAction.toPerm_symm_apply
/-- Given an action of an additive group `α` on `β`, each `g : α` defines a permutation of `β`. -/
add_decl_doc AddAction.toPerm
/-- `MulAction.toPerm` is injective on faithful actions. -/
@[to_additive "`AddAction.toPerm` is injective on faithful actions."]
theorem MulAction.toPerm_injective [FaithfulSMul α β] :
Function.Injective (MulAction.toPerm : α → Equiv.Perm β) :=
(show Function.Injective (Equiv.toFun ∘ MulAction.toPerm) from smul_left_injective').of_comp
#align mul_action.to_perm_injective MulAction.toPerm_injective
#align add_action.to_perm_injective AddAction.toPerm_injective
variable (α) (β)
/-- Given an action of a group `α` on a set `β`, each `g : α` defines a permutation of `β`. -/
@[simps]
def MulAction.toPermHom : α →* Equiv.Perm β where
toFun := MulAction.toPerm
map_one' := Equiv.ext <| one_smul α
map_mul' u₁ u₂ := Equiv.ext <| mul_smul (u₁ : α) u₂
#align mul_action.to_perm_hom MulAction.toPermHom
#align mul_action.to_perm_hom_apply MulAction.toPermHom_apply
/-- Given an action of an additive group `α` on a set `β`, each `g : α` defines a permutation of
`β`. -/
@[simps!]
def AddAction.toPermHom (α : Type*) [AddGroup α] [AddAction α β] :
α →+ Additive (Equiv.Perm β) :=
MonoidHom.toAdditive'' <| MulAction.toPermHom (Multiplicative α) β
#align add_action.to_perm_hom AddAction.toPermHom
/-- The tautological action by `Equiv.Perm α` on `α`.
This generalizes `Function.End.applyMulAction`. -/
instance Equiv.Perm.applyMulAction (α : Type*) : MulAction (Equiv.Perm α) α where
smul f a := f a
one_smul _ := rfl
mul_smul _ _ _ := rfl
#align equiv.perm.apply_mul_action Equiv.Perm.applyMulAction
@[simp]
protected theorem Equiv.Perm.smul_def {α : Type*} (f : Equiv.Perm α) (a : α) : f • a = f a :=
rfl
#align equiv.perm.smul_def Equiv.Perm.smul_def
/-- `Equiv.Perm.applyMulAction` is faithful. -/
instance Equiv.Perm.applyFaithfulSMul (α : Type*) : FaithfulSMul (Equiv.Perm α) α :=
⟨Equiv.ext⟩
#align equiv.perm.apply_has_faithful_smul Equiv.Perm.applyFaithfulSMul
variable {α} {β}
@[to_additive]
theorem inv_smul_eq_iff {a : α} {x y : β} : a⁻¹ • x = y ↔ x = a • y :=
(MulAction.toPerm a).symm_apply_eq
#align inv_smul_eq_iff inv_smul_eq_iff
#align neg_vadd_eq_iff neg_vadd_eq_iff
@[to_additive]
theorem eq_inv_smul_iff {a : α} {x y : β} : x = a⁻¹ • y ↔ a • x = y :=
(MulAction.toPerm a).eq_symm_apply
#align eq_inv_smul_iff eq_inv_smul_iff
#align eq_neg_vadd_iff eq_neg_vadd_iff
theorem smul_inv [Group β] [SMulCommClass α β β] [IsScalarTower α β β] (c : α) (x : β) :
(c • x)⁻¹ = c⁻¹ • x⁻¹ := by
rw [inv_eq_iff_mul_eq_one, smul_mul_smul, mul_right_inv, mul_right_inv, one_smul]
#align smul_inv smul_inv
theorem smul_zpow [Group β] [SMulCommClass α β β] [IsScalarTower α β β] (c : α) (x : β) (p : ℤ) :
(c • x) ^ p = c ^ p • x ^ p := by
cases p <;>
simp [smul_pow, smul_inv]
#align smul_zpow smul_zpow
@[simp]
theorem Commute.smul_right_iff [Mul β] [SMulCommClass α β β] [IsScalarTower α β β] {a b : β}
(r : α) : Commute a (r • b) ↔ Commute a b :=
⟨fun h => inv_smul_smul r b ▸ h.smul_right r⁻¹, fun h => h.smul_right r⟩
#align commute.smul_right_iff Commute.smul_right_iff
@[simp]
theorem Commute.smul_left_iff [Mul β] [SMulCommClass α β β] [IsScalarTower α β β] {a b : β}
(r : α) : Commute (r • a) b ↔ Commute a b := by
rw [Commute.symm_iff, Commute.smul_right_iff, Commute.symm_iff]
#align commute.smul_left_iff Commute.smul_left_iff
@[to_additive]
protected theorem MulAction.bijective (g : α) : Function.Bijective (g • · : β → β) :=
(MulAction.toPerm g).bijective
#align mul_action.bijective MulAction.bijective
#align add_action.bijective AddAction.bijective
@[to_additive]
protected theorem MulAction.injective (g : α) : Function.Injective (g • · : β → β) :=
(MulAction.bijective g).injective
#align mul_action.injective MulAction.injective
#align add_action.injective AddAction.injective
@[to_additive]
protected theorem MulAction.surjective (g : α) : Function.Surjective (g • · : β → β) :=
(MulAction.bijective g).surjective
#align mul_action.surjective MulAction.surjective
#align add_action.surjective AddAction.surjective
@[to_additive]
theorem smul_left_cancel (g : α) {x y : β} (h : g • x = g • y) : x = y :=
MulAction.injective g h
#align smul_left_cancel smul_left_cancel
#align vadd_left_cancel vadd_left_cancel
@[to_additive (attr := simp)]
theorem smul_left_cancel_iff (g : α) {x y : β} : g • x = g • y ↔ x = y :=
(MulAction.injective g).eq_iff
#align smul_left_cancel_iff smul_left_cancel_iff
#align vadd_left_cancel_iff vadd_left_cancel_iff
@[to_additive]
theorem smul_eq_iff_eq_inv_smul (g : α) {x y : β} : g • x = y ↔ x = g⁻¹ • y :=
(MulAction.toPerm g).apply_eq_iff_eq_symm_apply
#align smul_eq_iff_eq_inv_smul smul_eq_iff_eq_inv_smul
#align vadd_eq_iff_eq_neg_vadd vadd_eq_iff_eq_neg_vadd
end Group
section Monoid
variable [Monoid α] [MulAction α β]
variable (c : α) (x y : β) [Invertible c]
@[simp]
theorem invOf_smul_smul : ⅟c • c • x = x := inv_smul_smul (unitOfInvertible c) _
@[simp]
theorem smul_invOf_smul : c • (⅟ c • x) = x := smul_inv_smul (unitOfInvertible c) _
variable {c x y}
theorem invOf_smul_eq_iff : ⅟c • x = y ↔ x = c • y :=
inv_smul_eq_iff (a := unitOfInvertible c)
theorem smul_eq_iff_eq_invOf_smul : c • x = y ↔ x = ⅟c • y :=
smul_eq_iff_eq_inv_smul (g := unitOfInvertible c)
end Monoid
/-- `Monoid.toMulAction` is faithful on nontrivial cancellative monoids with zero. -/
instance CancelMonoidWithZero.faithfulSMul [CancelMonoidWithZero α] [Nontrivial α] :
FaithfulSMul α α :=
⟨fun h => mul_left_injective₀ one_ne_zero (h 1)⟩
#align cancel_monoid_with_zero.to_has_faithful_smul CancelMonoidWithZero.faithfulSMul
section Gwz
variable [GroupWithZero α] [MulAction α β] {a : α}
@[simp]
theorem inv_smul_smul₀ {c : α} (hc : c ≠ 0) (x : β) : c⁻¹ • c • x = x :=
inv_smul_smul (Units.mk0 c hc) x
#align inv_smul_smul₀ inv_smul_smul₀
@[simp]
theorem smul_inv_smul₀ {c : α} (hc : c ≠ 0) (x : β) : c • c⁻¹ • x = x :=
smul_inv_smul (Units.mk0 c hc) x
#align smul_inv_smul₀ smul_inv_smul₀
theorem inv_smul_eq_iff₀ {a : α} (ha : a ≠ 0) {x y : β} : a⁻¹ • x = y ↔ x = a • y :=
⟨fun h => by rw [← h, smul_inv_smul₀ ha], fun h => by rw [h, inv_smul_smul₀ ha]⟩
#align inv_smul_eq_iff₀ inv_smul_eq_iff₀
theorem eq_inv_smul_iff₀ {a : α} (ha : a ≠ 0) {x y : β} : x = a⁻¹ • y ↔ a • x = y :=
(MulAction.toPerm (Units.mk0 a ha)).eq_symm_apply
#align eq_inv_smul_iff₀ eq_inv_smul_iff₀
@[simp]
theorem Commute.smul_right_iff₀ [Mul β] [SMulCommClass α β β] [IsScalarTower α β β] {a b : β}
{c : α} (hc : c ≠ 0) : Commute a (c • b) ↔ Commute a b :=
Commute.smul_right_iff (Units.mk0 c hc)
#align commute.smul_right_iff₀ Commute.smul_right_iff₀
@[simp]
theorem Commute.smul_left_iff₀ [Mul β] [SMulCommClass α β β] [IsScalarTower α β β] {a b : β} {c : α}
(hc : c ≠ 0) : Commute (c • a) b ↔ Commute a b :=
Commute.smul_left_iff (Units.mk0 c hc)
#align commute.smul_left_iff₀ Commute.smul_left_iff₀
/-- Right scalar multiplication as an order isomorphism. -/
@[simps] def Equiv.smulRight (ha : a ≠ 0) : β ≃ β where
toFun b := a • b
invFun b := a⁻¹ • b
left_inv := inv_smul_smul₀ ha
right_inv := smul_inv_smul₀ ha
protected theorem MulAction.bijective₀ (ha : a ≠ 0) : Function.Bijective (a • · : β → β) :=
MulAction.bijective <| Units.mk0 a ha
#align mul_action.bijective₀ MulAction.bijective₀
protected theorem MulAction.injective₀ (ha : a ≠ 0) : Function.Injective (a • · : β → β) :=
(MulAction.bijective₀ ha).injective
#align mul_action.injective₀ MulAction.injective₀
protected theorem MulAction.surjective₀ (ha : a ≠ 0) : Function.Surjective (a • · : β → β) :=
(MulAction.bijective₀ ha).surjective
#align mul_action.surjective₀ MulAction.surjective₀
end Gwz
end MulAction
section DistribMulAction
section Group
variable [Group α] [AddMonoid β] [DistribMulAction α β]
variable (β)
/-- Each element of the group defines an additive monoid isomorphism.
This is a stronger version of `MulAction.toPerm`. -/
@[simps (config := { simpRhs := true })]
def DistribMulAction.toAddEquiv (x : α) : β ≃+ β :=
{ DistribMulAction.toAddMonoidHom β x, MulAction.toPermHom α β x with }
#align distrib_mul_action.to_add_equiv DistribMulAction.toAddEquiv
#align distrib_mul_action.to_add_equiv_apply DistribMulAction.toAddEquiv_apply
#align distrib_mul_action.to_add_equiv_symm_apply DistribMulAction.toAddEquiv_symm_apply
variable (α)
/-- Each element of the group defines an additive monoid isomorphism.
This is a stronger version of `MulAction.toPermHom`. -/
@[simps]
def DistribMulAction.toAddAut : α →* AddAut β where
toFun := DistribMulAction.toAddEquiv β
map_one' := AddEquiv.ext (one_smul _)
map_mul' _ _ := AddEquiv.ext (mul_smul _ _)
#align distrib_mul_action.to_add_aut DistribMulAction.toAddAut
#align distrib_mul_action.to_add_aut_apply DistribMulAction.toAddAut_apply
/-- Each non-zero element of a `GroupWithZero` defines an additive monoid isomorphism of an
`AddMonoid` on which it acts distributively.
This is a stronger version of `DistribMulAction.toAddMonoidHom`. -/
def DistribMulAction.toAddEquiv₀ {α : Type*} (β : Type*) [GroupWithZero α] [AddMonoid β]
[DistribMulAction α β] (x : α) (hx : x ≠ 0) : β ≃+ β :=
{ DistribMulAction.toAddMonoidHom β x with
invFun := fun b ↦ x⁻¹ • b
left_inv := fun b ↦ inv_smul_smul₀ hx b
right_inv := fun b ↦ smul_inv_smul₀ hx b }
variable {α β}
theorem smul_eq_zero_iff_eq (a : α) {x : β} : a • x = 0 ↔ x = 0 :=
⟨fun h => by rw [← inv_smul_smul a x, h, smul_zero], fun h => h.symm ▸ smul_zero _⟩
#align smul_eq_zero_iff_eq smul_eq_zero_iff_eq
theorem smul_ne_zero_iff_ne (a : α) {x : β} : a • x ≠ 0 ↔ x ≠ 0 :=
not_congr <| smul_eq_zero_iff_eq a
#align smul_ne_zero_iff_ne smul_ne_zero_iff_ne
end Group
end DistribMulAction
section MulDistribMulAction
variable [Group α] [Monoid β] [MulDistribMulAction α β]
variable (β)
/-- Each element of the group defines a multiplicative monoid isomorphism.
This is a stronger version of `MulAction.toPerm`. -/
@[simps (config := { simpRhs := true })]
def MulDistribMulAction.toMulEquiv (x : α) : β ≃* β :=
{ MulDistribMulAction.toMonoidHom β x, MulAction.toPermHom α β x with }
#align mul_distrib_mul_action.to_mul_equiv MulDistribMulAction.toMulEquiv
#align mul_distrib_mul_action.to_mul_equiv_symm_apply MulDistribMulAction.toMulEquiv_symm_apply
#align mul_distrib_mul_action.to_mul_equiv_apply MulDistribMulAction.toMulEquiv_apply
variable (α)
/-- Each element of the group defines a multiplicative monoid isomorphism.
This is a stronger version of `MulAction.toPermHom`. -/
@[simps]
def MulDistribMulAction.toMulAut : α →* MulAut β where
toFun := MulDistribMulAction.toMulEquiv β
map_one' := MulEquiv.ext (one_smul _)
map_mul' _ _ := MulEquiv.ext (mul_smul _ _)
#align mul_distrib_mul_action.to_mul_aut MulDistribMulAction.toMulAut
#align mul_distrib_mul_action.to_mul_aut_apply MulDistribMulAction.toMulAut_apply
variable {α β}
end MulDistribMulAction
section Arrow
/-- If `G` acts on `A`, then it acts also on `A → B`, by `(g • F) a = F (g⁻¹ • a)`. -/
@[to_additive (attr := simps) arrowAddAction
"If `G` acts on `A`, then it acts also on `A → B`, by `(g +ᵥ F) a = F (g⁻¹ +ᵥ a)`"]
def arrowAction {G A B : Type*} [DivisionMonoid G] [MulAction G A] : MulAction G (A → B) where
smul g F a := F (g⁻¹ • a)
one_smul := by
intro f
show (fun x => f ((1 : G)⁻¹ • x)) = f
simp only [inv_one, one_smul]
mul_smul := by
intros x y f
show (fun a => f ((x*y)⁻¹ • a)) = (fun a => f (y⁻¹ • x⁻¹ • a))
simp only [mul_smul, mul_inv_rev]
#align arrow_action arrowAction
#align arrow_add_action arrowAddAction
attribute [local instance] arrowAction
/-- When `B` is a monoid, `ArrowAction` is additionally a `MulDistribMulAction`. -/
def arrowMulDistribMulAction {G A B : Type*} [Group G] [MulAction G A] [Monoid B] :
MulDistribMulAction G (A → B) where
smul_one _ := rfl
smul_mul _ _ _ := rfl
#align arrow_mul_distrib_mul_action arrowMulDistribMulAction
attribute [local instance] arrowMulDistribMulAction
/-- Given groups `G H` with `G` acting on `A`, `G` acts by
multiplicative automorphisms on `A → H`. -/
@[simps!]
def mulAutArrow {G A H} [Group G] [MulAction G A] [Monoid H] : G →* MulAut (A → H) :=
MulDistribMulAction.toMulAut _ _
#align mul_aut_arrow mulAutArrow
#align mul_aut_arrow_apply_apply mulAutArrow_apply_apply
#align mul_aut_arrow_apply_symm_apply mulAutArrow_apply_symm_apply
end Arrow
namespace IsUnit
section MulAction
variable [Monoid α] [MulAction α β]
@[to_additive]
theorem smul_left_cancel {a : α} (ha : IsUnit a) {x y : β} : a • x = a • y ↔ x = y :=
let ⟨u, hu⟩ := ha
hu ▸ smul_left_cancel_iff u
#align is_unit.smul_left_cancel IsUnit.smul_left_cancel
#align is_add_unit.vadd_left_cancel IsAddUnit.vadd_left_cancel
end MulAction
section DistribMulAction
variable [Monoid α] [AddMonoid β] [DistribMulAction α β]
@[simp]
theorem smul_eq_zero {u : α} (hu : IsUnit u) {x : β} : u • x = 0 ↔ x = 0 :=
(Exists.elim hu) fun u hu => hu ▸ show u • x = 0 ↔ x = 0 from smul_eq_zero_iff_eq u
#align is_unit.smul_eq_zero IsUnit.smul_eq_zero
end DistribMulAction
end IsUnit
section SMul
variable [Group α] [Monoid β]
@[simp]
theorem isUnit_smul_iff [MulAction α β] [SMulCommClass α β β] [IsScalarTower α β β] (g : α)
(m : β) : IsUnit (g • m) ↔ IsUnit m :=
⟨fun h => inv_smul_smul g m ▸ h.smul g⁻¹, IsUnit.smul g⟩
#align is_unit_smul_iff isUnit_smul_iff
| Mathlib/GroupTheory/GroupAction/Group.lean | 423 | 425 | theorem IsUnit.smul_sub_iff_sub_inv_smul [AddGroup β] [DistribMulAction α β] [IsScalarTower α β β]
[SMulCommClass α β β] (r : α) (a : β) : IsUnit (r • (1 : β) - a) ↔ IsUnit (1 - r⁻¹ • a) := by |
rw [← isUnit_smul_iff r (1 - r⁻¹ • a), smul_sub, smul_inv_smul]
|
/-
Copyright (c) 2021 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.MeasureTheory.Measure.MeasureSpace
#align_import measure_theory.covering.vitali_family from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# Vitali families
On a metric space `X` with a measure `μ`, consider for each `x : X` a family of measurable sets with
nonempty interiors, called `setsAt x`. This family is a Vitali family if it satisfies the following
property: consider a (possibly non-measurable) set `s`, and for any `x` in `s` a
subfamily `f x` of `setsAt x` containing sets of arbitrarily small diameter. Then one can extract
a disjoint subfamily covering almost all `s`.
Vitali families are provided by covering theorems such as the Besicovitch covering theorem or the
Vitali covering theorem. They make it possible to formulate general versions of theorems on
differentiations of measure that apply in both contexts.
This file gives the basic definition of Vitali families. More interesting developments of this
notion are deferred to other files:
* constructions of specific Vitali families are provided by the Besicovitch covering theorem, in
`Besicovitch.vitaliFamily`, and by the Vitali covering theorem, in `Vitali.vitaliFamily`.
* The main theorem on differentiation of measures along a Vitali family is proved in
`VitaliFamily.ae_tendsto_rnDeriv`.
## Main definitions
* `VitaliFamily μ` is a structure made, for each `x : X`, of a family of sets around `x`, such that
one can extract an almost everywhere disjoint covering from any subfamily containing sets of
arbitrarily small diameters.
Let `v` be such a Vitali family.
* `v.FineSubfamilyOn` describes the subfamilies of `v` from which one can extract almost
everywhere disjoint coverings. This property, called
`v.FineSubfamilyOn.exists_disjoint_covering_ae`, is essentially a restatement of the definition
of a Vitali family. We also provide an API to use efficiently such a disjoint covering.
* `v.filterAt x` is a filter on sets of `X`, such that convergence with respect to this filter
means convergence when sets in the Vitali family shrink towards `x`.
## References
* [Herbert Federer, Geometric Measure Theory, Chapter 2.8][Federer1996] (Vitali families are called
Vitali relations there)
-/
open MeasureTheory Metric Set Filter TopologicalSpace MeasureTheory.Measure
open Filter MeasureTheory Topology
variable {α : Type*} [MetricSpace α]
/-- On a metric space `X` with a measure `μ`, consider for each `x : X` a family of measurable sets
with nonempty interiors, called `setsAt x`. This family is a Vitali family if it satisfies the
following property: consider a (possibly non-measurable) set `s`, and for any `x` in `s` a
subfamily `f x` of `setsAt x` containing sets of arbitrarily small diameter. Then one can extract
a disjoint subfamily covering almost all `s`.
Vitali families are provided by covering theorems such as the Besicovitch covering theorem or the
Vitali covering theorem. They make it possible to formulate general versions of theorems on
differentiations of measure that apply in both contexts.
-/
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure VitaliFamily {m : MeasurableSpace α} (μ : Measure α) where
/-- Sets of the family "centered" at a given point. -/
setsAt : α → Set (Set α)
/-- All sets of the family are measurable. -/
measurableSet : ∀ x : α, ∀ s ∈ setsAt x, MeasurableSet s
/-- All sets of the family have nonempty interior. -/
nonempty_interior : ∀ x : α, ∀ s ∈ setsAt x, (interior s).Nonempty
/-- For any closed ball around `x`, there exists a set of the family contained in this ball. -/
nontrivial : ∀ (x : α), ∀ ε > (0 : ℝ), ∃ s ∈ setsAt x, s ⊆ closedBall x ε
/-- Consider a (possibly non-measurable) set `s`,
and for any `x` in `s` a subfamily `f x` of `setsAt x`
containing sets of arbitrarily small diameter.
Then one can extract a disjoint subfamily covering almost all `s`. -/
covering : ∀ (s : Set α) (f : α → Set (Set α)),
(∀ x ∈ s, f x ⊆ setsAt x) → (∀ x ∈ s, ∀ ε > (0 : ℝ), ∃ a ∈ f x, a ⊆ closedBall x ε) →
∃ t : Set (α × Set α), (∀ p ∈ t, p.1 ∈ s) ∧ (t.PairwiseDisjoint fun p ↦ p.2) ∧
(∀ p ∈ t, p.2 ∈ f p.1) ∧ μ (s \ ⋃ p ∈ t, p.2) = 0
#align vitali_family VitaliFamily
namespace VitaliFamily
variable {m0 : MeasurableSpace α} {μ : Measure α}
/-- A Vitali family for a measure `μ` is also a Vitali family for any measure absolutely continuous
with respect to `μ`. -/
def mono (v : VitaliFamily μ) (ν : Measure α) (hν : ν ≪ μ) : VitaliFamily ν where
__ := v
covering s f h h' :=
let ⟨t, ts, disj, mem_f, hμ⟩ := v.covering s f h h'
⟨t, ts, disj, mem_f, hν hμ⟩
#align vitali_family.mono VitaliFamily.mono
/-- Given a Vitali family `v` for a measure `μ`, a family `f` is a fine subfamily on a set `s` if
every point `x` in `s` belongs to arbitrarily small sets in `v.setsAt x ∩ f x`. This is precisely
the subfamilies for which the Vitali family definition ensures that one can extract a disjoint
covering of almost all `s`. -/
def FineSubfamilyOn (v : VitaliFamily μ) (f : α → Set (Set α)) (s : Set α) : Prop :=
∀ x ∈ s, ∀ ε > 0, ∃ a ∈ v.setsAt x ∩ f x, a ⊆ closedBall x ε
#align vitali_family.fine_subfamily_on VitaliFamily.FineSubfamilyOn
namespace FineSubfamilyOn
variable {v : VitaliFamily μ} {f : α → Set (Set α)} {s : Set α} (h : v.FineSubfamilyOn f s)
theorem exists_disjoint_covering_ae :
∃ t : Set (α × Set α),
(∀ p : α × Set α, p ∈ t → p.1 ∈ s) ∧
(t.PairwiseDisjoint fun p => p.2) ∧
(∀ p : α × Set α, p ∈ t → p.2 ∈ v.setsAt p.1 ∩ f p.1) ∧
μ (s \ ⋃ (p : α × Set α) (_ : p ∈ t), p.2) = 0 :=
v.covering s (fun x => v.setsAt x ∩ f x) (fun _ _ => inter_subset_left) h
#align vitali_family.fine_subfamily_on.exists_disjoint_covering_ae VitaliFamily.FineSubfamilyOn.exists_disjoint_covering_ae
/-- Given `h : v.FineSubfamilyOn f s`, then `h.index` is a set parametrizing a disjoint
covering of almost every `s`. -/
protected def index : Set (α × Set α) :=
h.exists_disjoint_covering_ae.choose
#align vitali_family.fine_subfamily_on.index VitaliFamily.FineSubfamilyOn.index
-- Porting note: Needed to add `(_h : FineSubfamilyOn v f s)`
/-- Given `h : v.FineSubfamilyOn f s`, then `h.covering p` is a set in the family,
for `p ∈ h.index`, such that these sets form a disjoint covering of almost every `s`. -/
@[nolint unusedArguments]
protected def covering (_h : FineSubfamilyOn v f s) : α × Set α → Set α :=
fun p => p.2
#align vitali_family.fine_subfamily_on.covering VitaliFamily.FineSubfamilyOn.covering
theorem index_subset : ∀ p : α × Set α, p ∈ h.index → p.1 ∈ s :=
h.exists_disjoint_covering_ae.choose_spec.1
#align vitali_family.fine_subfamily_on.index_subset VitaliFamily.FineSubfamilyOn.index_subset
theorem covering_disjoint : h.index.PairwiseDisjoint h.covering :=
h.exists_disjoint_covering_ae.choose_spec.2.1
#align vitali_family.fine_subfamily_on.covering_disjoint VitaliFamily.FineSubfamilyOn.covering_disjoint
theorem covering_disjoint_subtype : Pairwise (Disjoint on fun x : h.index => h.covering x) :=
(pairwise_subtype_iff_pairwise_set _ _).2 h.covering_disjoint
#align vitali_family.fine_subfamily_on.covering_disjoint_subtype VitaliFamily.FineSubfamilyOn.covering_disjoint_subtype
theorem covering_mem {p : α × Set α} (hp : p ∈ h.index) : h.covering p ∈ f p.1 :=
(h.exists_disjoint_covering_ae.choose_spec.2.2.1 p hp).2
#align vitali_family.fine_subfamily_on.covering_mem VitaliFamily.FineSubfamilyOn.covering_mem
theorem covering_mem_family {p : α × Set α} (hp : p ∈ h.index) : h.covering p ∈ v.setsAt p.1 :=
(h.exists_disjoint_covering_ae.choose_spec.2.2.1 p hp).1
#align vitali_family.fine_subfamily_on.covering_mem_family VitaliFamily.FineSubfamilyOn.covering_mem_family
theorem measure_diff_biUnion : μ (s \ ⋃ p ∈ h.index, h.covering p) = 0 :=
h.exists_disjoint_covering_ae.choose_spec.2.2.2
#align vitali_family.fine_subfamily_on.measure_diff_bUnion VitaliFamily.FineSubfamilyOn.measure_diff_biUnion
theorem index_countable [SecondCountableTopology α] : h.index.Countable :=
h.covering_disjoint.countable_of_nonempty_interior fun _ hx =>
v.nonempty_interior _ _ (h.covering_mem_family hx)
#align vitali_family.fine_subfamily_on.index_countable VitaliFamily.FineSubfamilyOn.index_countable
protected theorem measurableSet_u {p : α × Set α} (hp : p ∈ h.index) :
MeasurableSet (h.covering p) :=
v.measurableSet p.1 _ (h.covering_mem_family hp)
#align vitali_family.fine_subfamily_on.measurable_set_u VitaliFamily.FineSubfamilyOn.measurableSet_u
| Mathlib/MeasureTheory/Covering/VitaliFamily.lean | 170 | 179 | theorem measure_le_tsum_of_absolutelyContinuous [SecondCountableTopology α] {ρ : Measure α}
(hρ : ρ ≪ μ) : ρ s ≤ ∑' p : h.index, ρ (h.covering p) :=
calc
ρ s ≤ ρ ((s \ ⋃ p ∈ h.index, h.covering p) ∪ ⋃ p ∈ h.index, h.covering p) :=
measure_mono (by simp only [subset_union_left, diff_union_self])
_ ≤ ρ (s \ ⋃ p ∈ h.index, h.covering p) + ρ (⋃ p ∈ h.index, h.covering p) :=
(measure_union_le _ _)
_ = ∑' p : h.index, ρ (h.covering p) := by |
rw [hρ h.measure_diff_biUnion, zero_add,
measure_biUnion h.index_countable h.covering_disjoint fun x hx => h.measurableSet_u hx]
|
/-
Copyright (c) 2021 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.ModelTheory.Ultraproducts
import Mathlib.ModelTheory.Bundled
import Mathlib.ModelTheory.Skolem
#align_import model_theory.satisfiability from "leanprover-community/mathlib"@"d565b3df44619c1498326936be16f1a935df0728"
/-!
# First-Order Satisfiability
This file deals with the satisfiability of first-order theories, as well as equivalence over them.
## Main Definitions
* `FirstOrder.Language.Theory.IsSatisfiable`: `T.IsSatisfiable` indicates that `T` has a nonempty
model.
* `FirstOrder.Language.Theory.IsFinitelySatisfiable`: `T.IsFinitelySatisfiable` indicates that
every finite subset of `T` is satisfiable.
* `FirstOrder.Language.Theory.IsComplete`: `T.IsComplete` indicates that `T` is satisfiable and
models each sentence or its negation.
* `FirstOrder.Language.Theory.SemanticallyEquivalent`: `T.SemanticallyEquivalent φ ψ` indicates
that `φ` and `ψ` are equivalent formulas or sentences in models of `T`.
* `Cardinal.Categorical`: A theory is `κ`-categorical if all models of size `κ` are isomorphic.
## Main Results
* The Compactness Theorem, `FirstOrder.Language.Theory.isSatisfiable_iff_isFinitelySatisfiable`,
shows that a theory is satisfiable iff it is finitely satisfiable.
* `FirstOrder.Language.completeTheory.isComplete`: The complete theory of a structure is
complete.
* `FirstOrder.Language.Theory.exists_large_model_of_infinite_model` shows that any theory with an
infinite model has arbitrarily large models.
* `FirstOrder.Language.Theory.exists_elementaryEmbedding_card_eq`: The Upward Löwenheim–Skolem
Theorem: If `κ` is a cardinal greater than the cardinalities of `L` and an infinite `L`-structure
`M`, then `M` has an elementary extension of cardinality `κ`.
## Implementation Details
* Satisfiability of an `L.Theory` `T` is defined in the minimal universe containing all the symbols
of `L`. By Löwenheim-Skolem, this is equivalent to satisfiability in any universe.
-/
set_option linter.uppercaseLean3 false
universe u v w w'
open Cardinal CategoryTheory
open Cardinal FirstOrder
namespace FirstOrder
namespace Language
variable {L : Language.{u, v}} {T : L.Theory} {α : Type w} {n : ℕ}
namespace Theory
variable (T)
/-- A theory is satisfiable if a structure models it. -/
def IsSatisfiable : Prop :=
Nonempty (ModelType.{u, v, max u v} T)
#align first_order.language.Theory.is_satisfiable FirstOrder.Language.Theory.IsSatisfiable
/-- A theory is finitely satisfiable if all of its finite subtheories are satisfiable. -/
def IsFinitelySatisfiable : Prop :=
∀ T0 : Finset L.Sentence, (T0 : L.Theory) ⊆ T → IsSatisfiable (T0 : L.Theory)
#align first_order.language.Theory.is_finitely_satisfiable FirstOrder.Language.Theory.IsFinitelySatisfiable
variable {T} {T' : L.Theory}
theorem Model.isSatisfiable (M : Type w) [Nonempty M] [L.Structure M] [M ⊨ T] :
T.IsSatisfiable :=
⟨((⊥ : Substructure _ (ModelType.of T M)).elementarySkolem₁Reduct.toModel T).shrink⟩
#align first_order.language.Theory.model.is_satisfiable FirstOrder.Language.Theory.Model.isSatisfiable
theorem IsSatisfiable.mono (h : T'.IsSatisfiable) (hs : T ⊆ T') : T.IsSatisfiable :=
⟨(Theory.Model.mono (ModelType.is_model h.some) hs).bundled⟩
#align first_order.language.Theory.is_satisfiable.mono FirstOrder.Language.Theory.IsSatisfiable.mono
theorem isSatisfiable_empty (L : Language.{u, v}) : IsSatisfiable (∅ : L.Theory) :=
⟨default⟩
#align first_order.language.Theory.is_satisfiable_empty FirstOrder.Language.Theory.isSatisfiable_empty
theorem isSatisfiable_of_isSatisfiable_onTheory {L' : Language.{w, w'}} (φ : L →ᴸ L')
(h : (φ.onTheory T).IsSatisfiable) : T.IsSatisfiable :=
Model.isSatisfiable (h.some.reduct φ)
#align first_order.language.Theory.is_satisfiable_of_is_satisfiable_on_Theory FirstOrder.Language.Theory.isSatisfiable_of_isSatisfiable_onTheory
theorem isSatisfiable_onTheory_iff {L' : Language.{w, w'}} {φ : L →ᴸ L'} (h : φ.Injective) :
(φ.onTheory T).IsSatisfiable ↔ T.IsSatisfiable := by
classical
refine ⟨isSatisfiable_of_isSatisfiable_onTheory φ, fun h' => ?_⟩
haveI : Inhabited h'.some := Classical.inhabited_of_nonempty'
exact Model.isSatisfiable (h'.some.defaultExpansion h)
#align first_order.language.Theory.is_satisfiable_on_Theory_iff FirstOrder.Language.Theory.isSatisfiable_onTheory_iff
theorem IsSatisfiable.isFinitelySatisfiable (h : T.IsSatisfiable) : T.IsFinitelySatisfiable :=
fun _ => h.mono
#align first_order.language.Theory.is_satisfiable.is_finitely_satisfiable FirstOrder.Language.Theory.IsSatisfiable.isFinitelySatisfiable
/-- The **Compactness Theorem of first-order logic**: A theory is satisfiable if and only if it is
finitely satisfiable. -/
| Mathlib/ModelTheory/Satisfiability.lean | 107 | 126 | theorem isSatisfiable_iff_isFinitelySatisfiable {T : L.Theory} :
T.IsSatisfiable ↔ T.IsFinitelySatisfiable :=
⟨Theory.IsSatisfiable.isFinitelySatisfiable, fun h => by
classical
set M : Finset T → Type max u v := fun T0 : Finset T =>
(h (T0.map (Function.Embedding.subtype fun x => x ∈ T)) T0.map_subtype_subset).some.Carrier
let M' := Filter.Product (Ultrafilter.of (Filter.atTop : Filter (Finset T))) M
have h' : M' ⊨ T := by |
refine ⟨fun φ hφ => ?_⟩
rw [Ultraproduct.sentence_realize]
refine
Filter.Eventually.filter_mono (Ultrafilter.of_le _)
(Filter.eventually_atTop.2
⟨{⟨φ, hφ⟩}, fun s h' =>
Theory.realize_sentence_of_mem (s.map (Function.Embedding.subtype fun x => x ∈ T))
?_⟩)
simp only [Finset.coe_map, Function.Embedding.coe_subtype, Set.mem_image, Finset.mem_coe,
Subtype.exists, Subtype.coe_mk, exists_and_right, exists_eq_right]
exact ⟨hφ, h' (Finset.mem_singleton_self _)⟩
exact ⟨ModelType.of T M'⟩⟩
|
/-
Copyright (c) 2022 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers
-/
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"
/-!
# Oriented angles in right-angled triangles.
This file proves basic geometrical results about distances and oriented angles in (possibly
degenerate) right-angled triangles in real inner product spaces and Euclidean affine spaces.
-/
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))
/-- An angle in a right-angled triangle expressed using `arccos`. -/
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
/-- An angle in a right-angled triangle expressed using `arccos`. -/
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
/-- An angle in a right-angled triangle expressed using `arcsin`. -/
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
/-- An angle in a right-angled triangle expressed using `arcsin`. -/
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
/-- An angle in a right-angled triangle expressed using `arctan`. -/
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
/-- An angle in a right-angled triangle expressed using `arctan`. -/
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
/-- The cosine of an angle in a right-angled triangle as a ratio of sides. -/
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
/-- The cosine of an angle in a right-angled triangle as a ratio of sides. -/
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
/-- The sine of an angle in a right-angled triangle as a ratio of sides. -/
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
/-- The sine of an angle in a right-angled triangle as a ratio of sides. -/
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
/-- The tangent of an angle in a right-angled triangle as a ratio of sides. -/
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
/-- The tangent of an angle in a right-angled triangle as a ratio of sides. -/
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
/-- The cosine of an angle in a right-angled triangle multiplied by the hypotenuse equals the
adjacent side. -/
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
/-- The cosine of an angle in a right-angled triangle multiplied by the hypotenuse equals the
adjacent side. -/
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
/-- The sine of an angle in a right-angled triangle multiplied by the hypotenuse equals the
opposite side. -/
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
/-- The sine of an angle in a right-angled triangle multiplied by the hypotenuse equals the
opposite side. -/
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
/-- The tangent of an angle in a right-angled triangle multiplied by the adjacent side equals
the opposite side. -/
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
/-- The tangent of an angle in a right-angled triangle multiplied by the adjacent side equals
the opposite side. -/
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
/-- A side of a right-angled triangle divided by the cosine of the adjacent angle equals the
hypotenuse. -/
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
/-- A side of a right-angled triangle divided by the cosine of the adjacent angle equals the
hypotenuse. -/
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
/-- A side of a right-angled triangle divided by the sine of the opposite angle equals the
hypotenuse. -/
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
/-- A side of a right-angled triangle divided by the sine of the opposite angle equals the
hypotenuse. -/
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
/-- A side of a right-angled triangle divided by the tangent of the opposite angle equals the
adjacent side. -/
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
/-- A side of a right-angled triangle divided by the tangent of the opposite angle equals the
adjacent side. -/
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
/-- An angle in a right-angled triangle expressed using `arccos`, version subtracting vectors. -/
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
/-- An angle in a right-angled triangle expressed using `arccos`, version subtracting vectors. -/
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
/-- An angle in a right-angled triangle expressed using `arcsin`, version subtracting vectors. -/
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
/-- An angle in a right-angled triangle expressed using `arcsin`, version subtracting vectors. -/
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
/-- An angle in a right-angled triangle expressed using `arctan`, version subtracting vectors. -/
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
/-- An angle in a right-angled triangle expressed using `arctan`, version subtracting vectors. -/
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
/-- The cosine of an angle in a right-angled triangle as a ratio of sides, version subtracting
vectors. -/
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
/-- The cosine of an angle in a right-angled triangle as a ratio of sides, version subtracting
vectors. -/
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
/-- The sine of an angle in a right-angled triangle as a ratio of sides, version subtracting
vectors. -/
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
/-- The sine of an angle in a right-angled triangle as a ratio of sides, version subtracting
vectors. -/
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
/-- The tangent of an angle in a right-angled triangle as a ratio of sides, version subtracting
vectors. -/
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)]
#align orientation.tan_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.tan_oangle_sub_right_of_oangle_eq_pi_div_two
/-- The tangent of an angle in a right-angled triangle as a ratio of sides, version subtracting
vectors. -/
theorem tan_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.tan (o.oangle (x - y) x) = ‖y‖ / ‖x‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).tan_oangle_sub_right_of_oangle_eq_pi_div_two h
#align orientation.tan_oangle_sub_left_of_oangle_eq_pi_div_two Orientation.tan_oangle_sub_left_of_oangle_eq_pi_div_two
/-- The cosine of an angle in a right-angled triangle multiplied by the hypotenuse equals the
adjacent side, version subtracting vectors. -/
theorem cos_oangle_sub_right_mul_norm_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 - 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.cos_coe,
InnerProductGeometry.cos_angle_sub_mul_norm_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.cos_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two
/-- The cosine of an angle in a right-angled triangle multiplied by the hypotenuse equals the
adjacent side, version subtracting vectors. -/
theorem cos_oangle_sub_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) x) * ‖x - y‖ = ‖x‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).cos_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two h
#align orientation.cos_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two
/-- The sine of an angle in a right-angled triangle multiplied by the hypotenuse equals the
opposite side, version subtracting vectors. -/
theorem sin_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle y (y - x)) * ‖y - x‖ = ‖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_mul_norm_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.sin_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two
/-- The sine of an angle in a right-angled triangle multiplied by the hypotenuse equals the
opposite side, version subtracting vectors. -/
theorem sin_oangle_sub_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) x) * ‖x - y‖ = ‖y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).sin_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two h
#align orientation.sin_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two
/-- The tangent of an angle in a right-angled triangle multiplied by the adjacent side equals
the opposite side, version subtracting vectors. -/
theorem tan_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle y (y - 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.tan_coe,
InnerProductGeometry.tan_angle_sub_mul_norm_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.tan_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two Orientation.tan_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two
/-- The tangent of an angle in a right-angled triangle multiplied by the adjacent side equals
the opposite side, version subtracting vectors. -/
theorem tan_oangle_sub_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) x) * ‖x‖ = ‖y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).tan_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two h
#align orientation.tan_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two Orientation.tan_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two
/-- A side of a right-angled triangle divided by the cosine of the adjacent angle equals the
hypotenuse, version subtracting vectors. -/
theorem norm_div_cos_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.cos (o.oangle y (y - 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.cos_coe,
InnerProductGeometry.norm_div_cos_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.norm_div_cos_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.norm_div_cos_oangle_sub_right_of_oangle_eq_pi_div_two
/-- A side of a right-angled triangle divided by the cosine of the adjacent angle equals the
hypotenuse, version subtracting vectors. -/
theorem norm_div_cos_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.cos (o.oangle (x - y) x) = ‖x - y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).norm_div_cos_oangle_sub_right_of_oangle_eq_pi_div_two h
#align orientation.norm_div_cos_oangle_sub_left_of_oangle_eq_pi_div_two Orientation.norm_div_cos_oangle_sub_left_of_oangle_eq_pi_div_two
/-- A side of a right-angled triangle divided by the sine of the opposite angle equals the
hypotenuse, version subtracting vectors. -/
theorem norm_div_sin_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.sin (o.oangle y (y - 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.norm_div_sin_angle_sub_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inr (o.left_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.norm_div_sin_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.norm_div_sin_oangle_sub_right_of_oangle_eq_pi_div_two
/-- A side of a right-angled triangle divided by the sine of the opposite angle equals the
hypotenuse, version subtracting vectors. -/
theorem norm_div_sin_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.sin (o.oangle (x - y) x) = ‖x - y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).norm_div_sin_oangle_sub_right_of_oangle_eq_pi_div_two h
#align orientation.norm_div_sin_oangle_sub_left_of_oangle_eq_pi_div_two Orientation.norm_div_sin_oangle_sub_left_of_oangle_eq_pi_div_two
/-- A side of a right-angled triangle divided by the tangent of the opposite angle equals the
adjacent side, version subtracting vectors. -/
theorem norm_div_tan_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.tan (o.oangle y (y - 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.norm_div_tan_angle_sub_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inr (o.left_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.norm_div_tan_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.norm_div_tan_oangle_sub_right_of_oangle_eq_pi_div_two
/-- A side of a right-angled triangle divided by the tangent of the opposite angle equals the
adjacent side, version subtracting vectors. -/
theorem norm_div_tan_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.tan (o.oangle (x - y) x) = ‖x‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).norm_div_tan_oangle_sub_right_of_oangle_eq_pi_div_two h
#align orientation.norm_div_tan_oangle_sub_left_of_oangle_eq_pi_div_two Orientation.norm_div_tan_oangle_sub_left_of_oangle_eq_pi_div_two
/-- An angle in a right-angled triangle expressed using `arctan`, where one side is a multiple
of a rotation of another by `π / 2`. -/
theorem oangle_add_right_smul_rotation_pi_div_two {x : V} (h : x ≠ 0) (r : ℝ) :
o.oangle x (x + r • o.rotation (π / 2 : ℝ) x) = Real.arctan r := by
rcases lt_trichotomy r 0 with (hr | rfl | hr)
· have ha : o.oangle x (r • o.rotation (π / 2 : ℝ) x) = -(π / 2 : ℝ) := by
rw [o.oangle_smul_right_of_neg _ _ hr, o.oangle_neg_right h, o.oangle_rotation_self_right h, ←
sub_eq_zero, add_comm, sub_neg_eq_add, ← Real.Angle.coe_add, ← Real.Angle.coe_add,
add_assoc, add_halves, ← two_mul, Real.Angle.coe_two_pi]
simpa using h
-- Porting note: if the type is not given in `neg_neg` then Lean "forgets" about the instance
-- `Neg (Orientation ℝ V (Fin 2))`
rw [← neg_inj, ← oangle_neg_orientation_eq_neg, @neg_neg Real.Angle] at ha
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj, oangle_rev,
(-o).oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two ha, norm_smul,
LinearIsometryEquiv.norm_map, mul_div_assoc, div_self (norm_ne_zero_iff.2 h), mul_one,
Real.norm_eq_abs, abs_of_neg hr, Real.arctan_neg, Real.Angle.coe_neg, neg_neg]
· rw [zero_smul, add_zero, oangle_self, Real.arctan_zero, Real.Angle.coe_zero]
· have ha : o.oangle x (r • o.rotation (π / 2 : ℝ) x) = (π / 2 : ℝ) := by
rw [o.oangle_smul_right_of_pos _ _ hr, o.oangle_rotation_self_right h]
rw [o.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two ha, norm_smul,
LinearIsometryEquiv.norm_map, mul_div_assoc, div_self (norm_ne_zero_iff.2 h), mul_one,
Real.norm_eq_abs, abs_of_pos hr]
#align orientation.oangle_add_right_smul_rotation_pi_div_two Orientation.oangle_add_right_smul_rotation_pi_div_two
/-- An angle in a right-angled triangle expressed using `arctan`, where one side is a multiple
of a rotation of another by `π / 2`. -/
theorem oangle_add_left_smul_rotation_pi_div_two {x : V} (h : x ≠ 0) (r : ℝ) :
o.oangle (x + r • o.rotation (π / 2 : ℝ) x) (r • o.rotation (π / 2 : ℝ) x)
= Real.arctan r⁻¹ := by
by_cases hr : r = 0; · simp [hr]
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj, ←
neg_neg ((π / 2 : ℝ) : Real.Angle), ← rotation_neg_orientation_eq_neg, add_comm]
have hx : x = r⁻¹ • (-o).rotation (π / 2 : ℝ) (r • (-o).rotation (-(π / 2 : ℝ)) x) := by simp [hr]
nth_rw 3 [hx]
refine (-o).oangle_add_right_smul_rotation_pi_div_two ?_ _
simp [hr, h]
#align orientation.oangle_add_left_smul_rotation_pi_div_two Orientation.oangle_add_left_smul_rotation_pi_div_two
/-- The tangent of an angle in a right-angled triangle, where one side is a multiple of a
rotation of another by `π / 2`. -/
theorem tan_oangle_add_right_smul_rotation_pi_div_two {x : V} (h : x ≠ 0) (r : ℝ) :
Real.Angle.tan (o.oangle x (x + r • o.rotation (π / 2 : ℝ) x)) = r := by
rw [o.oangle_add_right_smul_rotation_pi_div_two h, Real.Angle.tan_coe, Real.tan_arctan]
#align orientation.tan_oangle_add_right_smul_rotation_pi_div_two Orientation.tan_oangle_add_right_smul_rotation_pi_div_two
/-- The tangent of an angle in a right-angled triangle, where one side is a multiple of a
rotation of another by `π / 2`. -/
theorem tan_oangle_add_left_smul_rotation_pi_div_two {x : V} (h : x ≠ 0) (r : ℝ) :
Real.Angle.tan (o.oangle (x + r • o.rotation (π / 2 : ℝ) x) (r • o.rotation (π / 2 : ℝ) x)) =
r⁻¹ := by
rw [o.oangle_add_left_smul_rotation_pi_div_two h, Real.Angle.tan_coe, Real.tan_arctan]
#align orientation.tan_oangle_add_left_smul_rotation_pi_div_two Orientation.tan_oangle_add_left_smul_rotation_pi_div_two
/-- An angle in a right-angled triangle expressed using `arctan`, where one side is a multiple
of a rotation of another by `π / 2`, version subtracting vectors. -/
theorem oangle_sub_right_smul_rotation_pi_div_two {x : V} (h : x ≠ 0) (r : ℝ) :
o.oangle (r • o.rotation (π / 2 : ℝ) x) (r • o.rotation (π / 2 : ℝ) x - x)
= Real.arctan r⁻¹ := by
by_cases hr : r = 0; · simp [hr]
have hx : -x = r⁻¹ • o.rotation (π / 2 : ℝ) (r • o.rotation (π / 2 : ℝ) x) := by
simp [hr, ← Real.Angle.coe_add]
rw [sub_eq_add_neg, hx, o.oangle_add_right_smul_rotation_pi_div_two]
simpa [hr] using h
#align orientation.oangle_sub_right_smul_rotation_pi_div_two Orientation.oangle_sub_right_smul_rotation_pi_div_two
/-- An angle in a right-angled triangle expressed using `arctan`, where one side is a multiple
of a rotation of another by `π / 2`, version subtracting vectors. -/
theorem oangle_sub_left_smul_rotation_pi_div_two {x : V} (h : x ≠ 0) (r : ℝ) :
o.oangle (x - r • o.rotation (π / 2 : ℝ) x) x = Real.arctan r := by
by_cases hr : r = 0; · simp [hr]
have hx : x = r⁻¹ • o.rotation (π / 2 : ℝ) (-(r • o.rotation (π / 2 : ℝ) x)) := by
simp [hr, ← Real.Angle.coe_add]
rw [sub_eq_add_neg, add_comm]
nth_rw 3 [hx]
nth_rw 2 [hx]
rw [o.oangle_add_left_smul_rotation_pi_div_two, inv_inv]
simpa [hr] using h
#align orientation.oangle_sub_left_smul_rotation_pi_div_two Orientation.oangle_sub_left_smul_rotation_pi_div_two
end Orientation
namespace EuclideanGeometry
open FiniteDimensional
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)]
/-- An angle in a right-angled triangle expressed using `arccos`. -/
theorem oangle_right_eq_arccos_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
∡ p₂ p₃ p₁ = Real.arccos (dist p₃ p₂ / dist p₁ p₃) := by
have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs,
angle_eq_arccos_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)]
#align euclidean_geometry.oangle_right_eq_arccos_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_right_eq_arccos_of_oangle_eq_pi_div_two
/-- An angle in a right-angled triangle expressed using `arccos`. -/
theorem oangle_left_eq_arccos_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
∡ p₃ p₁ p₂ = Real.arccos (dist p₁ p₂ / dist p₁ p₃) := by
have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm,
angle_eq_arccos_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h),
dist_comm p₁ p₃]
#align euclidean_geometry.oangle_left_eq_arccos_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_left_eq_arccos_of_oangle_eq_pi_div_two
/-- An angle in a right-angled triangle expressed using `arcsin`. -/
theorem oangle_right_eq_arcsin_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
∡ p₂ p₃ p₁ = Real.arcsin (dist p₁ p₂ / dist p₁ p₃) := by
have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs,
angle_eq_arcsin_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)
(Or.inl (left_ne_of_oangle_eq_pi_div_two h))]
#align euclidean_geometry.oangle_right_eq_arcsin_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_right_eq_arcsin_of_oangle_eq_pi_div_two
/-- An angle in a right-angled triangle expressed using `arcsin`. -/
theorem oangle_left_eq_arcsin_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
∡ p₃ p₁ p₂ = Real.arcsin (dist p₃ p₂ / dist p₁ p₃) := by
have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm,
angle_eq_arcsin_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h)
(Or.inr (left_ne_of_oangle_eq_pi_div_two h)),
dist_comm p₁ p₃]
#align euclidean_geometry.oangle_left_eq_arcsin_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_left_eq_arcsin_of_oangle_eq_pi_div_two
/-- An angle in a right-angled triangle expressed using `arctan`. -/
theorem oangle_right_eq_arctan_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
∡ p₂ p₃ p₁ = Real.arctan (dist p₁ p₂ / dist p₃ p₂) := by
have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs,
angle_eq_arctan_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)
(right_ne_of_oangle_eq_pi_div_two h)]
#align euclidean_geometry.oangle_right_eq_arctan_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_right_eq_arctan_of_oangle_eq_pi_div_two
/-- An angle in a right-angled triangle expressed using `arctan`. -/
theorem oangle_left_eq_arctan_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
∡ p₃ p₁ p₂ = Real.arctan (dist p₃ p₂ / dist p₁ p₂) := by
have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm,
angle_eq_arctan_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h)
(left_ne_of_oangle_eq_pi_div_two h)]
#align euclidean_geometry.oangle_left_eq_arctan_of_oangle_eq_pi_div_two EuclideanGeometry.oangle_left_eq_arctan_of_oangle_eq_pi_div_two
/-- The cosine of an angle in a right-angled triangle as a ratio of sides. -/
theorem cos_oangle_right_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
Real.Angle.cos (∡ p₂ p₃ p₁) = dist p₃ p₂ / dist p₁ p₃ := by
have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
cos_angle_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)]
#align euclidean_geometry.cos_oangle_right_of_oangle_eq_pi_div_two EuclideanGeometry.cos_oangle_right_of_oangle_eq_pi_div_two
/-- The cosine of an angle in a right-angled triangle as a ratio of sides. -/
theorem cos_oangle_left_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
Real.Angle.cos (∡ p₃ p₁ p₂) = dist p₁ p₂ / dist p₁ p₃ := by
have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm, Real.Angle.cos_coe,
cos_angle_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h),
dist_comm p₁ p₃]
#align euclidean_geometry.cos_oangle_left_of_oangle_eq_pi_div_two EuclideanGeometry.cos_oangle_left_of_oangle_eq_pi_div_two
/-- The sine of an angle in a right-angled triangle as a ratio of sides. -/
theorem sin_oangle_right_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
Real.Angle.sin (∡ p₂ p₃ p₁) = dist p₁ p₂ / dist p₁ p₃ := by
have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe,
sin_angle_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)
(Or.inl (left_ne_of_oangle_eq_pi_div_two h))]
#align euclidean_geometry.sin_oangle_right_of_oangle_eq_pi_div_two EuclideanGeometry.sin_oangle_right_of_oangle_eq_pi_div_two
/-- The sine of an angle in a right-angled triangle as a ratio of sides. -/
theorem sin_oangle_left_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
Real.Angle.sin (∡ p₃ p₁ p₂) = dist p₃ p₂ / dist p₁ p₃ := by
have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm, Real.Angle.sin_coe,
sin_angle_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h)
(Or.inr (left_ne_of_oangle_eq_pi_div_two h)),
dist_comm p₁ p₃]
#align euclidean_geometry.sin_oangle_left_of_oangle_eq_pi_div_two EuclideanGeometry.sin_oangle_left_of_oangle_eq_pi_div_two
/-- The tangent of an angle in a right-angled triangle as a ratio of sides. -/
theorem tan_oangle_right_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
Real.Angle.tan (∡ p₂ p₃ p₁) = dist p₁ p₂ / dist p₃ p₂ := by
have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe,
tan_angle_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)]
#align euclidean_geometry.tan_oangle_right_of_oangle_eq_pi_div_two EuclideanGeometry.tan_oangle_right_of_oangle_eq_pi_div_two
/-- The tangent of an angle in a right-angled triangle as a ratio of sides. -/
theorem tan_oangle_left_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
Real.Angle.tan (∡ p₃ p₁ p₂) = dist p₃ p₂ / dist p₁ p₂ := by
have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm, Real.Angle.tan_coe,
tan_angle_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h)]
#align euclidean_geometry.tan_oangle_left_of_oangle_eq_pi_div_two EuclideanGeometry.tan_oangle_left_of_oangle_eq_pi_div_two
/-- The cosine of an angle in a right-angled triangle multiplied by the hypotenuse equals the
adjacent side. -/
theorem cos_oangle_right_mul_dist_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : Real.Angle.cos (∡ p₂ p₃ p₁) * dist p₁ p₃ = dist p₃ p₂ := by
have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
cos_angle_mul_dist_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)]
#align euclidean_geometry.cos_oangle_right_mul_dist_of_oangle_eq_pi_div_two EuclideanGeometry.cos_oangle_right_mul_dist_of_oangle_eq_pi_div_two
/-- The cosine of an angle in a right-angled triangle multiplied by the hypotenuse equals the
adjacent side. -/
theorem cos_oangle_left_mul_dist_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : Real.Angle.cos (∡ p₃ p₁ p₂) * dist p₁ p₃ = dist p₁ p₂ := by
have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm, Real.Angle.cos_coe, dist_comm p₁ p₃,
cos_angle_mul_dist_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h)]
#align euclidean_geometry.cos_oangle_left_mul_dist_of_oangle_eq_pi_div_two EuclideanGeometry.cos_oangle_left_mul_dist_of_oangle_eq_pi_div_two
/-- The sine of an angle in a right-angled triangle multiplied by the hypotenuse equals the
opposite side. -/
theorem sin_oangle_right_mul_dist_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : Real.Angle.sin (∡ p₂ p₃ p₁) * dist p₁ p₃ = dist p₁ p₂ := by
have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe,
sin_angle_mul_dist_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)]
#align euclidean_geometry.sin_oangle_right_mul_dist_of_oangle_eq_pi_div_two EuclideanGeometry.sin_oangle_right_mul_dist_of_oangle_eq_pi_div_two
/-- The sine of an angle in a right-angled triangle multiplied by the hypotenuse equals the
opposite side. -/
theorem sin_oangle_left_mul_dist_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : Real.Angle.sin (∡ p₃ p₁ p₂) * dist p₁ p₃ = dist p₃ p₂ := by
have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm, Real.Angle.sin_coe, dist_comm p₁ p₃,
sin_angle_mul_dist_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h)]
#align euclidean_geometry.sin_oangle_left_mul_dist_of_oangle_eq_pi_div_two EuclideanGeometry.sin_oangle_left_mul_dist_of_oangle_eq_pi_div_two
/-- The tangent of an angle in a right-angled triangle multiplied by the adjacent side equals
the opposite side. -/
theorem tan_oangle_right_mul_dist_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : Real.Angle.tan (∡ p₂ p₃ p₁) * dist p₃ p₂ = dist p₁ p₂ := by
have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe,
tan_angle_mul_dist_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)
(Or.inr (right_ne_of_oangle_eq_pi_div_two h))]
#align euclidean_geometry.tan_oangle_right_mul_dist_of_oangle_eq_pi_div_two EuclideanGeometry.tan_oangle_right_mul_dist_of_oangle_eq_pi_div_two
/-- The tangent of an angle in a right-angled triangle multiplied by the adjacent side equals
the opposite side. -/
theorem tan_oangle_left_mul_dist_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : Real.Angle.tan (∡ p₃ p₁ p₂) * dist p₁ p₂ = dist p₃ p₂ := by
have hs : (∡ p₃ p₁ p₂).sign = 1 := by rw [← oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, angle_comm, Real.Angle.tan_coe,
tan_angle_mul_dist_of_angle_eq_pi_div_two (angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two h)
(Or.inr (left_ne_of_oangle_eq_pi_div_two h))]
#align euclidean_geometry.tan_oangle_left_mul_dist_of_oangle_eq_pi_div_two EuclideanGeometry.tan_oangle_left_mul_dist_of_oangle_eq_pi_div_two
/-- A side of a right-angled triangle divided by the cosine of the adjacent angle equals the
hypotenuse. -/
| Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean | 747 | 752 | theorem dist_div_cos_oangle_right_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(π / 2)) : dist p₃ p₂ / Real.Angle.cos (∡ p₂ p₃ p₁) = dist p₁ p₃ := by |
have hs : (∡ p₂ p₃ p₁).sign = 1 := by rw [oangle_rotate_sign, h, Real.Angle.sign_coe_pi_div_two]
rw [oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
dist_div_cos_angle_of_angle_eq_pi_div_two (angle_eq_pi_div_two_of_oangle_eq_pi_div_two h)
(Or.inr (right_ne_of_oangle_eq_pi_div_two h))]
|
/-
Copyright (c) 2021 Adam Topaz. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Adam Topaz
-/
import Mathlib.CategoryTheory.Sites.CompatiblePlus
import Mathlib.CategoryTheory.Sites.ConcreteSheafification
#align_import category_theory.sites.compatible_sheafification from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
/-!
In this file, we prove that sheafification is compatible with functors which
preserve the correct limits and colimits.
-/
namespace CategoryTheory.GrothendieckTopology
open CategoryTheory
open CategoryTheory.Limits
open Opposite
universe w₁ w₂ v u
variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C)
variable {D : Type w₁} [Category.{max v u} D]
variable {E : Type w₂} [Category.{max v u} E]
variable (F : D ⥤ E)
-- Porting note: Removed this and made whatever necessary noncomputable
-- noncomputable section
variable [∀ (α β : Type max v u) (fst snd : β → α), HasLimitsOfShape (WalkingMulticospan fst snd) D]
variable [∀ (α β : Type max v u) (fst snd : β → α), HasLimitsOfShape (WalkingMulticospan fst snd) E]
variable [∀ X : C, HasColimitsOfShape (J.Cover X)ᵒᵖ D]
variable [∀ X : C, HasColimitsOfShape (J.Cover X)ᵒᵖ E]
variable [∀ X : C, PreservesColimitsOfShape (J.Cover X)ᵒᵖ F]
variable [∀ (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D), PreservesLimit (W.index P).multicospan F]
variable (P : Cᵒᵖ ⥤ D)
/-- The isomorphism between the sheafification of `P` composed with `F` and
the sheafification of `P ⋙ F`.
Use the lemmas `whisker_right_to_sheafify_sheafify_comp_iso_hom`,
`to_sheafify_comp_sheafify_comp_iso_inv` and `sheafify_comp_iso_inv_eq_sheafify_lift` to reduce
the components of this isomorphisms to a state that can be handled using the universal property
of sheafification. -/
noncomputable def sheafifyCompIso : J.sheafify P ⋙ F ≅ J.sheafify (P ⋙ F) :=
J.plusCompIso _ _ ≪≫ (J.plusFunctor _).mapIso (J.plusCompIso _ _)
#align category_theory.grothendieck_topology.sheafify_comp_iso CategoryTheory.GrothendieckTopology.sheafifyCompIso
/-- The isomorphism between the sheafification of `P` composed with `F` and
the sheafification of `P ⋙ F`, functorially in `F`. -/
noncomputable def sheafificationWhiskerLeftIso (P : Cᵒᵖ ⥤ D)
[∀ (F : D ⥤ E) (X : C), PreservesColimitsOfShape (J.Cover X)ᵒᵖ F]
[∀ (F : D ⥤ E) (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D),
PreservesLimit (W.index P).multicospan F] :
(whiskeringLeft _ _ E).obj (J.sheafify P) ≅
(whiskeringLeft _ _ _).obj P ⋙ J.sheafification E := by
refine J.plusFunctorWhiskerLeftIso _ ≪≫ ?_ ≪≫ Functor.associator _ _ _
refine isoWhiskerRight ?_ _
exact J.plusFunctorWhiskerLeftIso _
#align category_theory.grothendieck_topology.sheafification_whisker_left_iso CategoryTheory.GrothendieckTopology.sheafificationWhiskerLeftIso
@[simp]
theorem sheafificationWhiskerLeftIso_hom_app (P : Cᵒᵖ ⥤ D) (F : D ⥤ E)
[∀ (F : D ⥤ E) (X : C), PreservesColimitsOfShape (J.Cover X)ᵒᵖ F]
[∀ (F : D ⥤ E) (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D),
PreservesLimit (W.index P).multicospan F] :
(sheafificationWhiskerLeftIso J P).hom.app F = (J.sheafifyCompIso F P).hom := by
dsimp [sheafificationWhiskerLeftIso, sheafifyCompIso]
rw [Category.comp_id]
#align category_theory.grothendieck_topology.sheafification_whisker_left_iso_hom_app CategoryTheory.GrothendieckTopology.sheafificationWhiskerLeftIso_hom_app
@[simp]
theorem sheafificationWhiskerLeftIso_inv_app (P : Cᵒᵖ ⥤ D) (F : D ⥤ E)
[∀ (F : D ⥤ E) (X : C), PreservesColimitsOfShape (J.Cover X)ᵒᵖ F]
[∀ (F : D ⥤ E) (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D),
PreservesLimit (W.index P).multicospan F] :
(sheafificationWhiskerLeftIso J P).inv.app F = (J.sheafifyCompIso F P).inv := by
dsimp [sheafificationWhiskerLeftIso, sheafifyCompIso]
erw [Category.id_comp]
#align category_theory.grothendieck_topology.sheafification_whisker_left_iso_inv_app CategoryTheory.GrothendieckTopology.sheafificationWhiskerLeftIso_inv_app
/-- The isomorphism between the sheafification of `P` composed with `F` and
the sheafification of `P ⋙ F`, functorially in `P`. -/
noncomputable def sheafificationWhiskerRightIso :
J.sheafification D ⋙ (whiskeringRight _ _ _).obj F ≅
(whiskeringRight _ _ _).obj F ⋙ J.sheafification E := by
refine Functor.associator _ _ _ ≪≫ ?_
refine isoWhiskerLeft (J.plusFunctor D) (J.plusFunctorWhiskerRightIso _) ≪≫ ?_
refine ?_ ≪≫ Functor.associator _ _ _
refine (Functor.associator _ _ _).symm ≪≫ ?_
exact isoWhiskerRight (J.plusFunctorWhiskerRightIso _) (J.plusFunctor E)
#align category_theory.grothendieck_topology.sheafification_whisker_right_iso CategoryTheory.GrothendieckTopology.sheafificationWhiskerRightIso
@[simp]
theorem sheafificationWhiskerRightIso_hom_app :
(J.sheafificationWhiskerRightIso F).hom.app P = (J.sheafifyCompIso F P).hom := by
dsimp [sheafificationWhiskerRightIso, sheafifyCompIso]
simp only [Category.id_comp, Category.comp_id]
erw [Category.id_comp]
#align category_theory.grothendieck_topology.sheafification_whisker_right_iso_hom_app CategoryTheory.GrothendieckTopology.sheafificationWhiskerRightIso_hom_app
@[simp]
| Mathlib/CategoryTheory/Sites/CompatibleSheafification.lean | 110 | 114 | theorem sheafificationWhiskerRightIso_inv_app :
(J.sheafificationWhiskerRightIso F).inv.app P = (J.sheafifyCompIso F P).inv := by |
dsimp [sheafificationWhiskerRightIso, sheafifyCompIso]
simp only [Category.id_comp, Category.comp_id]
erw [Category.id_comp]
|
/-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Data.List.Basic
#align_import data.list.infix from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2"
/-!
# Prefixes, suffixes, infixes
This file proves properties about
* `List.isPrefix`: `l₁` is a prefix of `l₂` if `l₂` starts with `l₁`.
* `List.isSuffix`: `l₁` is a suffix of `l₂` if `l₂` ends with `l₁`.
* `List.isInfix`: `l₁` is an infix of `l₂` if `l₁` is a prefix of some suffix of `l₂`.
* `List.inits`: The list of prefixes of a list.
* `List.tails`: The list of prefixes of a list.
* `insert` on lists
All those (except `insert`) are defined in `Mathlib.Data.List.Defs`.
## Notation
* `l₁ <+: l₂`: `l₁` is a prefix of `l₂`.
* `l₁ <:+ l₂`: `l₁` is a suffix of `l₂`.
* `l₁ <:+: l₂`: `l₁` is an infix of `l₂`.
-/
open Nat
variable {α β : Type*}
namespace List
variable {l l₁ l₂ l₃ : List α} {a b : α} {m n : ℕ}
/-! ### prefix, suffix, infix -/
section Fix
#align list.prefix_append List.prefix_append
#align list.suffix_append List.suffix_append
#align list.infix_append List.infix_append
#align list.infix_append' List.infix_append'
#align list.is_prefix.is_infix List.IsPrefix.isInfix
#align list.is_suffix.is_infix List.IsSuffix.isInfix
#align list.nil_prefix List.nil_prefix
#align list.nil_suffix List.nil_suffix
#align list.nil_infix List.nil_infix
#align list.prefix_refl List.prefix_refl
#align list.suffix_refl List.suffix_refl
#align list.infix_refl List.infix_refl
theorem prefix_rfl : l <+: l :=
prefix_refl _
#align list.prefix_rfl List.prefix_rfl
theorem suffix_rfl : l <:+ l :=
suffix_refl _
#align list.suffix_rfl List.suffix_rfl
theorem infix_rfl : l <:+: l :=
infix_refl _
#align list.infix_rfl List.infix_rfl
#align list.suffix_cons List.suffix_cons
theorem prefix_concat (a : α) (l) : l <+: concat l a := by simp
#align list.prefix_concat List.prefix_concat
theorem prefix_concat_iff {l₁ l₂ : List α} {a : α} :
l₁ <+: l₂ ++ [a] ↔ l₁ = l₂ ++ [a] ∨ l₁ <+: l₂ := by
simpa only [← reverse_concat', reverse_inj, reverse_suffix] using
suffix_cons_iff (l₁ := l₁.reverse) (l₂ := l₂.reverse)
#align list.infix_cons List.infix_cons
#align list.infix_concat List.infix_concat
#align list.is_prefix.trans List.IsPrefix.trans
#align list.is_suffix.trans List.IsSuffix.trans
#align list.is_infix.trans List.IsInfix.trans
#align list.is_infix.sublist List.IsInfix.sublist
#align list.is_infix.subset List.IsInfix.subset
#align list.is_prefix.sublist List.IsPrefix.sublist
#align list.is_prefix.subset List.IsPrefix.subset
#align list.is_suffix.sublist List.IsSuffix.sublist
#align list.is_suffix.subset List.IsSuffix.subset
#align list.reverse_suffix List.reverse_suffix
#align list.reverse_prefix List.reverse_prefix
#align list.reverse_infix List.reverse_infix
protected alias ⟨_, isSuffix.reverse⟩ := reverse_prefix
#align list.is_suffix.reverse List.isSuffix.reverse
protected alias ⟨_, isPrefix.reverse⟩ := reverse_suffix
#align list.is_prefix.reverse List.isPrefix.reverse
protected alias ⟨_, isInfix.reverse⟩ := reverse_infix
#align list.is_infix.reverse List.isInfix.reverse
#align list.is_infix.length_le List.IsInfix.length_le
#align list.is_prefix.length_le List.IsPrefix.length_le
#align list.is_suffix.length_le List.IsSuffix.length_le
#align list.infix_nil_iff List.infix_nil
#align list.prefix_nil_iff List.prefix_nil
#align list.suffix_nil_iff List.suffix_nil
alias ⟨eq_nil_of_infix_nil, _⟩ := infix_nil
#align list.eq_nil_of_infix_nil List.eq_nil_of_infix_nil
alias ⟨eq_nil_of_prefix_nil, _⟩ := prefix_nil
#align list.eq_nil_of_prefix_nil List.eq_nil_of_prefix_nil
alias ⟨eq_nil_of_suffix_nil, _⟩ := suffix_nil
#align list.eq_nil_of_suffix_nil List.eq_nil_of_suffix_nil
#align list.infix_iff_prefix_suffix List.infix_iff_prefix_suffix
theorem eq_of_infix_of_length_eq (h : l₁ <:+: l₂) : l₁.length = l₂.length → l₁ = l₂ :=
h.sublist.eq_of_length
#align list.eq_of_infix_of_length_eq List.eq_of_infix_of_length_eq
theorem eq_of_prefix_of_length_eq (h : l₁ <+: l₂) : l₁.length = l₂.length → l₁ = l₂ :=
h.sublist.eq_of_length
#align list.eq_of_prefix_of_length_eq List.eq_of_prefix_of_length_eq
theorem eq_of_suffix_of_length_eq (h : l₁ <:+ l₂) : l₁.length = l₂.length → l₁ = l₂ :=
h.sublist.eq_of_length
#align list.eq_of_suffix_of_length_eq List.eq_of_suffix_of_length_eq
#align list.prefix_of_prefix_length_le List.prefix_of_prefix_length_le
#align list.prefix_or_prefix_of_prefix List.prefix_or_prefix_of_prefix
#align list.suffix_of_suffix_length_le List.suffix_of_suffix_length_le
#align list.suffix_or_suffix_of_suffix List.suffix_or_suffix_of_suffix
#align list.suffix_cons_iff List.suffix_cons_iff
#align list.infix_cons_iff List.infix_cons_iff
#align list.infix_of_mem_join List.infix_of_mem_join
#align list.prefix_append_right_inj List.prefix_append_right_inj
#align list.prefix_cons_inj List.prefix_cons_inj
#align list.take_prefix List.take_prefix
#align list.drop_suffix List.drop_suffix
#align list.take_sublist List.take_sublist
#align list.drop_sublist List.drop_sublist
#align list.take_subset List.take_subset
#align list.drop_subset List.drop_subset
#align list.mem_of_mem_take List.mem_of_mem_take
#align list.mem_of_mem_drop List.mem_of_mem_drop
lemma dropSlice_sublist (n m : ℕ) (l : List α) : l.dropSlice n m <+ l :=
calc
l.dropSlice n m = take n l ++ drop m (drop n l) := by rw [dropSlice_eq, drop_drop, Nat.add_comm]
_ <+ take n l ++ drop n l := (Sublist.refl _).append (drop_sublist _ _)
_ = _ := take_append_drop _ _
#align list.slice_sublist List.dropSlice_sublist
lemma dropSlice_subset (n m : ℕ) (l : List α) : l.dropSlice n m ⊆ l :=
(dropSlice_sublist n m l).subset
#align list.slice_subset List.dropSlice_subset
lemma mem_of_mem_dropSlice {n m : ℕ} {l : List α} {a : α} (h : a ∈ l.dropSlice n m) : a ∈ l :=
dropSlice_subset n m l h
#align list.mem_of_mem_slice List.mem_of_mem_dropSlice
theorem takeWhile_prefix (p : α → Bool) : l.takeWhile p <+: l :=
⟨l.dropWhile p, takeWhile_append_dropWhile p l⟩
#align list.take_while_prefix List.takeWhile_prefix
theorem dropWhile_suffix (p : α → Bool) : l.dropWhile p <:+ l :=
⟨l.takeWhile p, takeWhile_append_dropWhile p l⟩
#align list.drop_while_suffix List.dropWhile_suffix
theorem dropLast_prefix : ∀ l : List α, l.dropLast <+: l
| [] => ⟨nil, by rw [dropLast, List.append_nil]⟩
| a :: l => ⟨_, dropLast_append_getLast (cons_ne_nil a l)⟩
#align list.init_prefix List.dropLast_prefix
theorem tail_suffix (l : List α) : tail l <:+ l := by rw [← drop_one]; apply drop_suffix
#align list.tail_suffix List.tail_suffix
theorem dropLast_sublist (l : List α) : l.dropLast <+ l :=
(dropLast_prefix l).sublist
#align list.init_sublist List.dropLast_sublist
@[gcongr]
theorem drop_sublist_drop_left (l : List α) {m n : ℕ} (h : m ≤ n) : drop n l <+ drop m l := by
rw [← Nat.sub_add_cancel h, drop_add]
apply drop_sublist
theorem dropLast_subset (l : List α) : l.dropLast ⊆ l :=
(dropLast_sublist l).subset
#align list.init_subset List.dropLast_subset
theorem tail_subset (l : List α) : tail l ⊆ l :=
(tail_sublist l).subset
#align list.tail_subset List.tail_subset
theorem mem_of_mem_dropLast (h : a ∈ l.dropLast) : a ∈ l :=
dropLast_subset l h
#align list.mem_of_mem_init List.mem_of_mem_dropLast
theorem mem_of_mem_tail (h : a ∈ l.tail) : a ∈ l :=
tail_subset l h
#align list.mem_of_mem_tail List.mem_of_mem_tail
@[gcongr]
protected theorem Sublist.drop : ∀ {l₁ l₂ : List α}, l₁ <+ l₂ → ∀ n, l₁.drop n <+ l₂.drop n
| _, _, h, 0 => h
| _, _, h, n + 1 => by rw [← drop_tail, ← drop_tail]; exact h.tail.drop n
theorem prefix_iff_eq_append : l₁ <+: l₂ ↔ l₁ ++ drop (length l₁) l₂ = l₂ :=
⟨by rintro ⟨r, rfl⟩; rw [drop_left], fun e => ⟨_, e⟩⟩
#align list.prefix_iff_eq_append List.prefix_iff_eq_append
theorem suffix_iff_eq_append : l₁ <:+ l₂ ↔ take (length l₂ - length l₁) l₂ ++ l₁ = l₂ :=
⟨by rintro ⟨r, rfl⟩; simp only [length_append, Nat.add_sub_cancel_right, take_left], fun e =>
⟨_, e⟩⟩
#align list.suffix_iff_eq_append List.suffix_iff_eq_append
theorem prefix_iff_eq_take : l₁ <+: l₂ ↔ l₁ = take (length l₁) l₂ :=
⟨fun h => append_cancel_right <| (prefix_iff_eq_append.1 h).trans (take_append_drop _ _).symm,
fun e => e.symm ▸ take_prefix _ _⟩
#align list.prefix_iff_eq_take List.prefix_iff_eq_take
| Mathlib/Data/List/Infix.lean | 225 | 237 | theorem prefix_take_iff {x y : List α} {n : ℕ} : x <+: y.take n ↔ x <+: y ∧ x.length ≤ n := by |
constructor
· intro h
constructor
· exact List.IsPrefix.trans h <| List.take_prefix n y
· replace h := h.length_le
rw [length_take, Nat.le_min] at h
exact h.left
· intro ⟨hp, hl⟩
have hl' := hp.length_le
rw [List.prefix_iff_eq_take] at *
rw [hp, List.take_take]
simp [min_eq_left, hl, hl']
|
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Data.Complex.Exponential
import Mathlib.Data.Complex.Module
import Mathlib.RingTheory.Polynomial.Chebyshev
#align_import analysis.special_functions.trigonometric.chebyshev from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1"
/-!
# Multiple angle formulas in terms of Chebyshev polynomials
This file gives the trigonometric characterizations of Chebyshev polynomials, for both the real
(`Real.cos`) and complex (`Complex.cos`) cosine.
-/
set_option linter.uppercaseLean3 false
namespace Polynomial.Chebyshev
open Polynomial
variable {R A : Type*} [CommRing R] [CommRing A] [Algebra R A]
@[simp]
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Chebyshev.lean | 29 | 30 | theorem aeval_T (x : A) (n : ℤ) : aeval x (T R n) = (T A n).eval x := by |
rw [aeval_def, eval₂_eq_eval_map, map_T]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Jeremy Avigad
-/
import Mathlib.Order.Filter.Lift
import Mathlib.Topology.Defs.Filter
#align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40"
/-!
# Basic theory of topological spaces.
The main definition is the type class `TopologicalSpace X` which endows a type `X` with a topology.
Then `Set X` gets predicates `IsOpen`, `IsClosed` and functions `interior`, `closure` and
`frontier`. Each point `x` of `X` gets a neighborhood filter `𝓝 x`. A filter `F` on `X` has
`x` as a cluster point if `ClusterPt x F : 𝓝 x ⊓ F ≠ ⊥`. A map `f : α → X` clusters at `x`
along `F : Filter α` if `MapClusterPt x F f : ClusterPt x (map f F)`. In particular
the notion of cluster point of a sequence `u` is `MapClusterPt x atTop u`.
For topological spaces `X` and `Y`, a function `f : X → Y` and a point `x : X`,
`ContinuousAt f x` means `f` is continuous at `x`, and global continuity is
`Continuous f`. There is also a version of continuity `PContinuous` for
partially defined functions.
## Notation
The following notation is introduced elsewhere and it heavily used in this file.
* `𝓝 x`: the filter `nhds x` of neighborhoods of a point `x`;
* `𝓟 s`: the principal filter of a set `s`;
* `𝓝[s] x`: the filter `nhdsWithin x s` of neighborhoods of a point `x` within a set `s`;
* `𝓝[≠] x`: the filter `nhdsWithin x {x}ᶜ` of punctured neighborhoods of `x`.
## Implementation notes
Topology in mathlib heavily uses filters (even more than in Bourbaki). See explanations in
<https://leanprover-community.github.io/theories/topology.html>.
## References
* [N. Bourbaki, *General Topology*][bourbaki1966]
* [I. M. James, *Topologies and Uniformities*][james1999]
## Tags
topological space, interior, closure, frontier, neighborhood, continuity, continuous function
-/
noncomputable section
open Set Filter
universe u v w x
/-!
### Topological spaces
-/
/-- A constructor for topologies by specifying the closed sets,
and showing that they satisfy the appropriate conditions. -/
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
/-!
### Interior of a set
-/
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
| Mathlib/Topology/Basic.lean | 274 | 275 | 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]
|
/-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Yakov Pechersky
-/
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.Zip
import Mathlib.Data.Nat.Defs
import Mathlib.Data.List.Infix
#align_import data.list.rotate from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
/-!
# List rotation
This file proves basic results about `List.rotate`, the list rotation.
## Main declarations
* `List.IsRotated l₁ l₂`: States that `l₁` is a rotated version of `l₂`.
* `List.cyclicPermutations l`: The list of all cyclic permutants of `l`, up to the length of `l`.
## Tags
rotated, rotation, permutation, cycle
-/
universe u
variable {α : Type u}
open Nat Function
namespace List
theorem rotate_mod (l : List α) (n : ℕ) : l.rotate (n % l.length) = l.rotate n := by simp [rotate]
#align list.rotate_mod List.rotate_mod
@[simp]
theorem rotate_nil (n : ℕ) : ([] : List α).rotate n = [] := by simp [rotate]
#align list.rotate_nil List.rotate_nil
@[simp]
theorem rotate_zero (l : List α) : l.rotate 0 = l := by simp [rotate]
#align list.rotate_zero List.rotate_zero
-- Porting note: removing simp, simp can prove it
theorem rotate'_nil (n : ℕ) : ([] : List α).rotate' n = [] := by cases n <;> rfl
#align list.rotate'_nil List.rotate'_nil
@[simp]
theorem rotate'_zero (l : List α) : l.rotate' 0 = l := by cases l <;> rfl
#align list.rotate'_zero List.rotate'_zero
theorem rotate'_cons_succ (l : List α) (a : α) (n : ℕ) :
(a :: l : List α).rotate' n.succ = (l ++ [a]).rotate' n := by simp [rotate']
#align list.rotate'_cons_succ List.rotate'_cons_succ
@[simp]
theorem length_rotate' : ∀ (l : List α) (n : ℕ), (l.rotate' n).length = l.length
| [], _ => by simp
| a :: l, 0 => rfl
| a :: l, n + 1 => by rw [List.rotate', length_rotate' (l ++ [a]) n]; simp
#align list.length_rotate' List.length_rotate'
theorem rotate'_eq_drop_append_take :
∀ {l : List α} {n : ℕ}, n ≤ l.length → l.rotate' n = l.drop n ++ l.take n
| [], n, h => by simp [drop_append_of_le_length h]
| l, 0, h => by simp [take_append_of_le_length h]
| a :: l, n + 1, h => by
have hnl : n ≤ l.length := le_of_succ_le_succ h
have hnl' : n ≤ (l ++ [a]).length := by
rw [length_append, length_cons, List.length]; exact le_of_succ_le h
rw [rotate'_cons_succ, rotate'_eq_drop_append_take hnl', drop, take,
drop_append_of_le_length hnl, take_append_of_le_length hnl]; simp
#align list.rotate'_eq_drop_append_take List.rotate'_eq_drop_append_take
theorem rotate'_rotate' : ∀ (l : List α) (n m : ℕ), (l.rotate' n).rotate' m = l.rotate' (n + m)
| a :: l, 0, m => by simp
| [], n, m => by simp
| a :: l, n + 1, m => by
rw [rotate'_cons_succ, rotate'_rotate' _ n, Nat.add_right_comm, ← rotate'_cons_succ,
Nat.succ_eq_add_one]
#align list.rotate'_rotate' List.rotate'_rotate'
@[simp]
theorem rotate'_length (l : List α) : rotate' l l.length = l := by
rw [rotate'_eq_drop_append_take le_rfl]; simp
#align list.rotate'_length List.rotate'_length
@[simp]
theorem rotate'_length_mul (l : List α) : ∀ n : ℕ, l.rotate' (l.length * n) = l
| 0 => by simp
| n + 1 =>
calc
l.rotate' (l.length * (n + 1)) =
(l.rotate' (l.length * n)).rotate' (l.rotate' (l.length * n)).length := by
simp [-rotate'_length, Nat.mul_succ, rotate'_rotate']
_ = l := by rw [rotate'_length, rotate'_length_mul l n]
#align list.rotate'_length_mul List.rotate'_length_mul
theorem rotate'_mod (l : List α) (n : ℕ) : l.rotate' (n % l.length) = l.rotate' n :=
calc
l.rotate' (n % l.length) =
(l.rotate' (n % l.length)).rotate' ((l.rotate' (n % l.length)).length * (n / l.length)) :=
by rw [rotate'_length_mul]
_ = l.rotate' n := by rw [rotate'_rotate', length_rotate', Nat.mod_add_div]
#align list.rotate'_mod List.rotate'_mod
theorem rotate_eq_rotate' (l : List α) (n : ℕ) : l.rotate n = l.rotate' n :=
if h : l.length = 0 then by simp_all [length_eq_zero]
else by
rw [← rotate'_mod,
rotate'_eq_drop_append_take (le_of_lt (Nat.mod_lt _ (Nat.pos_of_ne_zero h)))];
simp [rotate]
#align list.rotate_eq_rotate' List.rotate_eq_rotate'
theorem rotate_cons_succ (l : List α) (a : α) (n : ℕ) :
(a :: l : List α).rotate (n + 1) = (l ++ [a]).rotate n := by
rw [rotate_eq_rotate', rotate_eq_rotate', rotate'_cons_succ]
#align list.rotate_cons_succ List.rotate_cons_succ
@[simp]
theorem mem_rotate : ∀ {l : List α} {a : α} {n : ℕ}, a ∈ l.rotate n ↔ a ∈ l
| [], _, n => by simp
| a :: l, _, 0 => by simp
| a :: l, _, n + 1 => by simp [rotate_cons_succ, mem_rotate, or_comm]
#align list.mem_rotate List.mem_rotate
@[simp]
theorem length_rotate (l : List α) (n : ℕ) : (l.rotate n).length = l.length := by
rw [rotate_eq_rotate', length_rotate']
#align list.length_rotate List.length_rotate
@[simp]
theorem rotate_replicate (a : α) (n : ℕ) (k : ℕ) : (replicate n a).rotate k = replicate n a :=
eq_replicate.2 ⟨by rw [length_rotate, length_replicate], fun b hb =>
eq_of_mem_replicate <| mem_rotate.1 hb⟩
#align list.rotate_replicate List.rotate_replicate
theorem rotate_eq_drop_append_take {l : List α} {n : ℕ} :
n ≤ l.length → l.rotate n = l.drop n ++ l.take n := by
rw [rotate_eq_rotate']; exact rotate'_eq_drop_append_take
#align list.rotate_eq_drop_append_take List.rotate_eq_drop_append_take
theorem rotate_eq_drop_append_take_mod {l : List α} {n : ℕ} :
l.rotate n = l.drop (n % l.length) ++ l.take (n % l.length) := by
rcases l.length.zero_le.eq_or_lt with hl | hl
· simp [eq_nil_of_length_eq_zero hl.symm]
rw [← rotate_eq_drop_append_take (n.mod_lt hl).le, rotate_mod]
#align list.rotate_eq_drop_append_take_mod List.rotate_eq_drop_append_take_mod
@[simp]
theorem rotate_append_length_eq (l l' : List α) : (l ++ l').rotate l.length = l' ++ l := by
rw [rotate_eq_rotate']
induction l generalizing l'
· simp
· simp_all [rotate']
#align list.rotate_append_length_eq List.rotate_append_length_eq
theorem rotate_rotate (l : List α) (n m : ℕ) : (l.rotate n).rotate m = l.rotate (n + m) := by
rw [rotate_eq_rotate', rotate_eq_rotate', rotate_eq_rotate', rotate'_rotate']
#align list.rotate_rotate List.rotate_rotate
@[simp]
theorem rotate_length (l : List α) : rotate l l.length = l := by
rw [rotate_eq_rotate', rotate'_length]
#align list.rotate_length List.rotate_length
@[simp]
theorem rotate_length_mul (l : List α) (n : ℕ) : l.rotate (l.length * n) = l := by
rw [rotate_eq_rotate', rotate'_length_mul]
#align list.rotate_length_mul List.rotate_length_mul
theorem rotate_perm (l : List α) (n : ℕ) : l.rotate n ~ l := by
rw [rotate_eq_rotate']
induction' n with n hn generalizing l
· simp
· cases' l with hd tl
· simp
· rw [rotate'_cons_succ]
exact (hn _).trans (perm_append_singleton _ _)
#align list.rotate_perm List.rotate_perm
@[simp]
theorem nodup_rotate {l : List α} {n : ℕ} : Nodup (l.rotate n) ↔ Nodup l :=
(rotate_perm l n).nodup_iff
#align list.nodup_rotate List.nodup_rotate
@[simp]
theorem rotate_eq_nil_iff {l : List α} {n : ℕ} : l.rotate n = [] ↔ l = [] := by
induction' n with n hn generalizing l
· simp
· cases' l with hd tl
· simp
· simp [rotate_cons_succ, hn]
#align list.rotate_eq_nil_iff List.rotate_eq_nil_iff
@[simp]
theorem nil_eq_rotate_iff {l : List α} {n : ℕ} : [] = l.rotate n ↔ [] = l := by
rw [eq_comm, rotate_eq_nil_iff, eq_comm]
#align list.nil_eq_rotate_iff List.nil_eq_rotate_iff
@[simp]
theorem rotate_singleton (x : α) (n : ℕ) : [x].rotate n = [x] :=
rotate_replicate x 1 n
#align list.rotate_singleton List.rotate_singleton
theorem zipWith_rotate_distrib {β γ : Type*} (f : α → β → γ) (l : List α) (l' : List β) (n : ℕ)
(h : l.length = l'.length) :
(zipWith f l l').rotate n = zipWith f (l.rotate n) (l'.rotate n) := by
rw [rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod,
rotate_eq_drop_append_take_mod, h, zipWith_append, ← zipWith_distrib_drop, ←
zipWith_distrib_take, List.length_zipWith, h, min_self]
rw [length_drop, length_drop, h]
#align list.zip_with_rotate_distrib List.zipWith_rotate_distrib
attribute [local simp] rotate_cons_succ
-- Porting note: removing @[simp], simp can prove it
theorem zipWith_rotate_one {β : Type*} (f : α → α → β) (x y : α) (l : List α) :
zipWith f (x :: y :: l) ((x :: y :: l).rotate 1) = f x y :: zipWith f (y :: l) (l ++ [x]) := by
simp
#align list.zip_with_rotate_one List.zipWith_rotate_one
theorem get?_rotate {l : List α} {n m : ℕ} (hml : m < l.length) :
(l.rotate n).get? m = l.get? ((m + n) % l.length) := by
rw [rotate_eq_drop_append_take_mod]
rcases lt_or_le m (l.drop (n % l.length)).length with hm | hm
· rw [get?_append hm, get?_drop, ← add_mod_mod]
rw [length_drop, Nat.lt_sub_iff_add_lt] at hm
rw [mod_eq_of_lt hm, Nat.add_comm]
· have hlt : n % length l < length l := mod_lt _ (m.zero_le.trans_lt hml)
rw [get?_append_right hm, get?_take, length_drop]
· congr 1
rw [length_drop] at hm
have hm' := Nat.sub_le_iff_le_add'.1 hm
have : n % length l + m - length l < length l := by
rw [Nat.sub_lt_iff_lt_add' hm']
exact Nat.add_lt_add hlt hml
conv_rhs => rw [Nat.add_comm m, ← mod_add_mod, mod_eq_sub_mod hm', mod_eq_of_lt this]
rw [← Nat.add_right_inj, ← Nat.add_sub_assoc, Nat.add_sub_sub_cancel, Nat.add_sub_cancel',
Nat.add_comm]
exacts [hm', hlt.le, hm]
· rwa [Nat.sub_lt_iff_lt_add hm, length_drop, Nat.sub_add_cancel hlt.le]
#align list.nth_rotate List.get?_rotate
-- Porting note (#10756): new lemma
| Mathlib/Data/List/Rotate.lean | 250 | 254 | theorem get_rotate (l : List α) (n : ℕ) (k : Fin (l.rotate n).length) :
(l.rotate n).get k =
l.get ⟨(k + n) % l.length, mod_lt _ (length_rotate l n ▸ k.1.zero_le.trans_lt k.2)⟩ := by |
rw [← Option.some_inj, ← get?_eq_get, ← get?_eq_get, get?_rotate]
exact k.2.trans_eq (length_rotate _ _)
|
/-
Copyright (c) 2018 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis
-/
import Mathlib.Algebra.Polynomial.Identities
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.NumberTheory.Padics.PadicIntegers
import Mathlib.Topology.Algebra.Polynomial
import Mathlib.Topology.MetricSpace.CauSeqFilter
#align_import number_theory.padics.hensel from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# Hensel's lemma on ℤ_p
This file proves Hensel's lemma on ℤ_p, roughly following Keith Conrad's writeup:
<http://www.math.uconn.edu/~kconrad/blurbs/gradnumthy/hensel.pdf>
Hensel's lemma gives a simple condition for the existence of a root of a polynomial.
The proof and motivation are described in the paper
[R. Y. Lewis, *A formal proof of Hensel's lemma over the p-adic integers*][lewis2019].
## References
* <http://www.math.uconn.edu/~kconrad/blurbs/gradnumthy/hensel.pdf>
* [R. Y. Lewis, *A formal proof of Hensel's lemma over the p-adic integers*][lewis2019]
* <https://en.wikipedia.org/wiki/Hensel%27s_lemma>
## Tags
p-adic, p adic, padic, p-adic integer
-/
noncomputable section
open scoped Classical
open Topology
-- We begin with some general lemmas that are used below in the computation.
| Mathlib/NumberTheory/Padics/Hensel.lean | 43 | 49 | theorem padic_polynomial_dist {p : ℕ} [Fact p.Prime] (F : Polynomial ℤ_[p]) (x y : ℤ_[p]) :
‖F.eval x - F.eval y‖ ≤ ‖x - y‖ :=
let ⟨z, hz⟩ := F.evalSubFactor x y
calc
‖F.eval x - F.eval y‖ = ‖z‖ * ‖x - y‖ := by | simp [hz]
_ ≤ 1 * ‖x - y‖ := by gcongr; apply PadicInt.norm_le_one
_ = ‖x - y‖ := by simp
|
/-
Copyright (c) 2022 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov, Yaël Dillies
-/
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.integral.average from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
/-!
# Integral average of a function
In this file we define `MeasureTheory.average μ f` (notation: `⨍ x, f x ∂μ`) to be the average
value of `f` with respect to measure `μ`. It is defined as `∫ x, f x ∂((μ univ)⁻¹ • μ)`, so it
is equal to zero if `f` is not integrable or if `μ` is an infinite measure. If `μ` is a probability
measure, then the average of any function is equal to its integral.
For the average on a set, we use `⨍ x in s, f x ∂μ` (notation for `⨍ x, f x ∂(μ.restrict s)`). For
average w.r.t. the volume, one can omit `∂volume`.
Both have a version for the Lebesgue integral rather than Bochner.
We prove several version of the first moment method: An integrable function is below/above its
average on a set of positive measure.
## Implementation notes
The average is defined as an integral over `(μ univ)⁻¹ • μ` so that all theorems about Bochner
integrals work for the average without modifications. For theorems that require integrability of a
function, we provide a convenience lemma `MeasureTheory.Integrable.to_average`.
## TODO
Provide the first moment method for the Lebesgue integral as well. A draft is available on branch
`first_moment_lintegral` in mathlib3 repository.
## Tags
integral, center mass, average value
-/
open ENNReal MeasureTheory MeasureTheory.Measure Metric Set Filter TopologicalSpace Function
open scoped Topology ENNReal Convex
variable {α E F : Type*} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E]
[CompleteSpace E] [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] {μ ν : Measure α}
{s t : Set α}
/-!
### Average value of a function w.r.t. a measure
The (Bochner, Lebesgue) average value of a function `f` w.r.t. a measure `μ` (notation:
`⨍ x, f x ∂μ`, `⨍⁻ x, f x ∂μ`) is defined as the (Bochner, Lebesgue) integral divided by the total
measure, so it is equal to zero if `μ` is an infinite measure, and (typically) equal to infinity if
`f` is not integrable. If `μ` is a probability measure, then the average of any function is equal to
its integral.
-/
namespace MeasureTheory
section ENNReal
variable (μ) {f g : α → ℝ≥0∞}
/-- Average value of an `ℝ≥0∞`-valued function `f` w.r.t. a measure `μ`, denoted `⨍⁻ x, f x ∂μ`.
It is equal to `(μ univ)⁻¹ * ∫⁻ x, f x ∂μ`, so it takes value zero if `μ` is an infinite measure. If
`μ` is a probability measure, then the average of any function is equal to its integral.
For the average on a set, use `⨍⁻ x in s, f x ∂μ`, defined as `⨍⁻ x, f x ∂(μ.restrict s)`. For the
average w.r.t. the volume, one can omit `∂volume`. -/
noncomputable def laverage (f : α → ℝ≥0∞) := ∫⁻ x, f x ∂(μ univ)⁻¹ • μ
#align measure_theory.laverage MeasureTheory.laverage
/-- Average value of an `ℝ≥0∞`-valued function `f` w.r.t. a measure `μ`.
It is equal to `(μ univ)⁻¹ * ∫⁻ x, f x ∂μ`, so it takes value zero if `μ` is an infinite measure. If
`μ` is a probability measure, then the average of any function is equal to its integral.
For the average on a set, use `⨍⁻ x in s, f x ∂μ`, defined as `⨍⁻ x, f x ∂(μ.restrict s)`. For the
average w.r.t. the volume, one can omit `∂volume`. -/
notation3 "⨍⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => laverage μ r
/-- Average value of an `ℝ≥0∞`-valued function `f` w.r.t. to the standard measure.
It is equal to `(volume univ)⁻¹ * ∫⁻ x, f x`, so it takes value zero if the space has infinite
measure. In a probability space, the average of any function is equal to its integral.
For the average on a set, use `⨍⁻ x in s, f x`, defined as `⨍⁻ x, f x ∂(volume.restrict s)`. -/
notation3 "⨍⁻ "(...)", "r:60:(scoped f => laverage volume f) => r
/-- Average value of an `ℝ≥0∞`-valued function `f` w.r.t. a measure `μ` on a set `s`.
It is equal to `(μ s)⁻¹ * ∫⁻ x, f x ∂μ`, so it takes value zero if `s` has infinite measure. If `s`
has measure `1`, then the average of any function is equal to its integral.
For the average w.r.t. the volume, one can omit `∂volume`. -/
notation3 "⨍⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => laverage (Measure.restrict μ s) r
/-- Average value of an `ℝ≥0∞`-valued function `f` w.r.t. to the standard measure on a set `s`.
It is equal to `(volume s)⁻¹ * ∫⁻ x, f x`, so it takes value zero if `s` has infinite measure. If
`s` has measure `1`, then the average of any function is equal to its integral. -/
notation3 (prettyPrint := false)
"⨍⁻ "(...)" in "s", "r:60:(scoped f => laverage Measure.restrict volume s f) => r
@[simp]
theorem laverage_zero : ⨍⁻ _x, (0 : ℝ≥0∞) ∂μ = 0 := by rw [laverage, lintegral_zero]
#align measure_theory.laverage_zero MeasureTheory.laverage_zero
@[simp]
theorem laverage_zero_measure (f : α → ℝ≥0∞) : ⨍⁻ x, f x ∂(0 : Measure α) = 0 := by simp [laverage]
#align measure_theory.laverage_zero_measure MeasureTheory.laverage_zero_measure
theorem laverage_eq' (f : α → ℝ≥0∞) : ⨍⁻ x, f x ∂μ = ∫⁻ x, f x ∂(μ univ)⁻¹ • μ := rfl
#align measure_theory.laverage_eq' MeasureTheory.laverage_eq'
theorem laverage_eq (f : α → ℝ≥0∞) : ⨍⁻ x, f x ∂μ = (∫⁻ x, f x ∂μ) / μ univ := by
rw [laverage_eq', lintegral_smul_measure, ENNReal.div_eq_inv_mul]
#align measure_theory.laverage_eq MeasureTheory.laverage_eq
theorem laverage_eq_lintegral [IsProbabilityMeasure μ] (f : α → ℝ≥0∞) :
⨍⁻ x, f x ∂μ = ∫⁻ x, f x ∂μ := by rw [laverage, measure_univ, inv_one, one_smul]
#align measure_theory.laverage_eq_lintegral MeasureTheory.laverage_eq_lintegral
@[simp]
theorem measure_mul_laverage [IsFiniteMeasure μ] (f : α → ℝ≥0∞) :
μ univ * ⨍⁻ x, f x ∂μ = ∫⁻ x, f x ∂μ := by
rcases eq_or_ne μ 0 with hμ | hμ
· rw [hμ, lintegral_zero_measure, laverage_zero_measure, mul_zero]
· rw [laverage_eq, ENNReal.mul_div_cancel' (measure_univ_ne_zero.2 hμ) (measure_ne_top _ _)]
#align measure_theory.measure_mul_laverage MeasureTheory.measure_mul_laverage
theorem setLaverage_eq (f : α → ℝ≥0∞) (s : Set α) :
⨍⁻ x in s, f x ∂μ = (∫⁻ x in s, f x ∂μ) / μ s := by rw [laverage_eq, restrict_apply_univ]
#align measure_theory.set_laverage_eq MeasureTheory.setLaverage_eq
theorem setLaverage_eq' (f : α → ℝ≥0∞) (s : Set α) :
⨍⁻ x in s, f x ∂μ = ∫⁻ x, f x ∂(μ s)⁻¹ • μ.restrict s := by
simp only [laverage_eq', restrict_apply_univ]
#align measure_theory.set_laverage_eq' MeasureTheory.setLaverage_eq'
variable {μ}
theorem laverage_congr {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) : ⨍⁻ x, f x ∂μ = ⨍⁻ x, g x ∂μ := by
simp only [laverage_eq, lintegral_congr_ae h]
#align measure_theory.laverage_congr MeasureTheory.laverage_congr
theorem setLaverage_congr (h : s =ᵐ[μ] t) : ⨍⁻ x in s, f x ∂μ = ⨍⁻ x in t, f x ∂μ := by
simp only [setLaverage_eq, set_lintegral_congr h, measure_congr h]
#align measure_theory.set_laverage_congr MeasureTheory.setLaverage_congr
theorem setLaverage_congr_fun (hs : MeasurableSet s) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) :
⨍⁻ x in s, f x ∂μ = ⨍⁻ x in s, g x ∂μ := by
simp only [laverage_eq, set_lintegral_congr_fun hs h]
#align measure_theory.set_laverage_congr_fun MeasureTheory.setLaverage_congr_fun
theorem laverage_lt_top (hf : ∫⁻ x, f x ∂μ ≠ ∞) : ⨍⁻ x, f x ∂μ < ∞ := by
obtain rfl | hμ := eq_or_ne μ 0
· simp
· rw [laverage_eq]
exact div_lt_top hf (measure_univ_ne_zero.2 hμ)
#align measure_theory.laverage_lt_top MeasureTheory.laverage_lt_top
theorem setLaverage_lt_top : ∫⁻ x in s, f x ∂μ ≠ ∞ → ⨍⁻ x in s, f x ∂μ < ∞ :=
laverage_lt_top
#align measure_theory.set_laverage_lt_top MeasureTheory.setLaverage_lt_top
theorem laverage_add_measure :
⨍⁻ x, f x ∂(μ + ν) =
μ univ / (μ univ + ν univ) * ⨍⁻ x, f x ∂μ + ν univ / (μ univ + ν univ) * ⨍⁻ x, f x ∂ν := by
by_cases hμ : IsFiniteMeasure μ; swap
· rw [not_isFiniteMeasure_iff] at hμ
simp [laverage_eq, hμ]
by_cases hν : IsFiniteMeasure ν; swap
· rw [not_isFiniteMeasure_iff] at hν
simp [laverage_eq, hν]
haveI := hμ; haveI := hν
simp only [← ENNReal.mul_div_right_comm, measure_mul_laverage, ← ENNReal.add_div,
← lintegral_add_measure, ← Measure.add_apply, ← laverage_eq]
#align measure_theory.laverage_add_measure MeasureTheory.laverage_add_measure
theorem measure_mul_setLaverage (f : α → ℝ≥0∞) (h : μ s ≠ ∞) :
μ s * ⨍⁻ x in s, f x ∂μ = ∫⁻ x in s, f x ∂μ := by
have := Fact.mk h.lt_top
rw [← measure_mul_laverage, restrict_apply_univ]
#align measure_theory.measure_mul_set_laverage MeasureTheory.measure_mul_setLaverage
theorem laverage_union (hd : AEDisjoint μ s t) (ht : NullMeasurableSet t μ) :
⨍⁻ x in s ∪ t, f x ∂μ =
μ s / (μ s + μ t) * ⨍⁻ x in s, f x ∂μ + μ t / (μ s + μ t) * ⨍⁻ x in t, f x ∂μ := by
rw [restrict_union₀ hd ht, laverage_add_measure, restrict_apply_univ, restrict_apply_univ]
#align measure_theory.laverage_union MeasureTheory.laverage_union
theorem laverage_union_mem_openSegment (hd : AEDisjoint μ s t) (ht : NullMeasurableSet t μ)
(hs₀ : μ s ≠ 0) (ht₀ : μ t ≠ 0) (hsμ : μ s ≠ ∞) (htμ : μ t ≠ ∞) :
⨍⁻ x in s ∪ t, f x ∂μ ∈ openSegment ℝ≥0∞ (⨍⁻ x in s, f x ∂μ) (⨍⁻ x in t, f x ∂μ) := by
refine
⟨μ s / (μ s + μ t), μ t / (μ s + μ t), ENNReal.div_pos hs₀ <| add_ne_top.2 ⟨hsμ, htμ⟩,
ENNReal.div_pos ht₀ <| add_ne_top.2 ⟨hsμ, htμ⟩, ?_, (laverage_union hd ht).symm⟩
rw [← ENNReal.add_div,
ENNReal.div_self (add_eq_zero.not.2 fun h => hs₀ h.1) (add_ne_top.2 ⟨hsμ, htμ⟩)]
#align measure_theory.laverage_union_mem_open_segment MeasureTheory.laverage_union_mem_openSegment
theorem laverage_union_mem_segment (hd : AEDisjoint μ s t) (ht : NullMeasurableSet t μ)
(hsμ : μ s ≠ ∞) (htμ : μ t ≠ ∞) :
⨍⁻ x in s ∪ t, f x ∂μ ∈ [⨍⁻ x in s, f x ∂μ -[ℝ≥0∞] ⨍⁻ x in t, f x ∂μ] := by
by_cases hs₀ : μ s = 0
· rw [← ae_eq_empty] at hs₀
rw [restrict_congr_set (hs₀.union EventuallyEq.rfl), empty_union]
exact right_mem_segment _ _ _
· refine
⟨μ s / (μ s + μ t), μ t / (μ s + μ t), zero_le _, zero_le _, ?_, (laverage_union hd ht).symm⟩
rw [← ENNReal.add_div,
ENNReal.div_self (add_eq_zero.not.2 fun h => hs₀ h.1) (add_ne_top.2 ⟨hsμ, htμ⟩)]
#align measure_theory.laverage_union_mem_segment MeasureTheory.laverage_union_mem_segment
theorem laverage_mem_openSegment_compl_self [IsFiniteMeasure μ] (hs : NullMeasurableSet s μ)
(hs₀ : μ s ≠ 0) (hsc₀ : μ sᶜ ≠ 0) :
⨍⁻ x, f x ∂μ ∈ openSegment ℝ≥0∞ (⨍⁻ x in s, f x ∂μ) (⨍⁻ x in sᶜ, f x ∂μ) := by
simpa only [union_compl_self, restrict_univ] using
laverage_union_mem_openSegment aedisjoint_compl_right hs.compl hs₀ hsc₀ (measure_ne_top _ _)
(measure_ne_top _ _)
#align measure_theory.laverage_mem_open_segment_compl_self MeasureTheory.laverage_mem_openSegment_compl_self
@[simp]
theorem laverage_const (μ : Measure α) [IsFiniteMeasure μ] [h : NeZero μ] (c : ℝ≥0∞) :
⨍⁻ _x, c ∂μ = c := by
simp only [laverage, lintegral_const, measure_univ, mul_one]
#align measure_theory.laverage_const MeasureTheory.laverage_const
theorem setLaverage_const (hs₀ : μ s ≠ 0) (hs : μ s ≠ ∞) (c : ℝ≥0∞) : ⨍⁻ _x in s, c ∂μ = c := by
simp only [setLaverage_eq, lintegral_const, Measure.restrict_apply, MeasurableSet.univ,
univ_inter, div_eq_mul_inv, mul_assoc, ENNReal.mul_inv_cancel hs₀ hs, mul_one]
#align measure_theory.set_laverage_const MeasureTheory.setLaverage_const
theorem laverage_one [IsFiniteMeasure μ] [NeZero μ] : ⨍⁻ _x, (1 : ℝ≥0∞) ∂μ = 1 :=
laverage_const _ _
#align measure_theory.laverage_one MeasureTheory.laverage_one
theorem setLaverage_one (hs₀ : μ s ≠ 0) (hs : μ s ≠ ∞) : ⨍⁻ _x in s, (1 : ℝ≥0∞) ∂μ = 1 :=
setLaverage_const hs₀ hs _
#align measure_theory.set_laverage_one MeasureTheory.setLaverage_one
-- Porting note: Dropped `simp` because of `simp` seeing through `1 : α → ℝ≥0∞` and applying
-- `lintegral_const`. This is suboptimal.
theorem lintegral_laverage (μ : Measure α) [IsFiniteMeasure μ] (f : α → ℝ≥0∞) :
∫⁻ _x, ⨍⁻ a, f a ∂μ ∂μ = ∫⁻ x, f x ∂μ := by
obtain rfl | hμ := eq_or_ne μ 0
· simp
· rw [lintegral_const, laverage_eq,
ENNReal.div_mul_cancel (measure_univ_ne_zero.2 hμ) (measure_ne_top _ _)]
#align measure_theory.lintegral_laverage MeasureTheory.lintegral_laverage
theorem setLintegral_setLaverage (μ : Measure α) [IsFiniteMeasure μ] (f : α → ℝ≥0∞) (s : Set α) :
∫⁻ _x in s, ⨍⁻ a in s, f a ∂μ ∂μ = ∫⁻ x in s, f x ∂μ :=
lintegral_laverage _ _
#align measure_theory.set_lintegral_set_laverage MeasureTheory.setLintegral_setLaverage
end ENNReal
section NormedAddCommGroup
variable (μ)
variable {f g : α → E}
/-- Average value of a function `f` w.r.t. a measure `μ`, denoted `⨍ x, f x ∂μ`.
It is equal to `(μ univ).toReal⁻¹ • ∫ x, f x ∂μ`, so it takes value zero if `f` is not integrable or
if `μ` is an infinite measure. If `μ` is a probability measure, then the average of any function is
equal to its integral.
For the average on a set, use `⨍ x in s, f x ∂μ`, defined as `⨍ x, f x ∂(μ.restrict s)`. For the
average w.r.t. the volume, one can omit `∂volume`. -/
noncomputable def average (f : α → E) :=
∫ x, f x ∂(μ univ)⁻¹ • μ
#align measure_theory.average MeasureTheory.average
/-- Average value of a function `f` w.r.t. a measure `μ`.
It is equal to `(μ univ).toReal⁻¹ • ∫ x, f x ∂μ`, so it takes value zero if `f` is not integrable or
if `μ` is an infinite measure. If `μ` is a probability measure, then the average of any function is
equal to its integral.
For the average on a set, use `⨍ x in s, f x ∂μ`, defined as `⨍ x, f x ∂(μ.restrict s)`. For the
average w.r.t. the volume, one can omit `∂volume`. -/
notation3 "⨍ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => average μ r
/-- Average value of a function `f` w.r.t. to the standard measure.
It is equal to `(volume univ).toReal⁻¹ * ∫ x, f x`, so it takes value zero if `f` is not integrable
or if the space has infinite measure. In a probability space, the average of any function is equal
to its integral.
For the average on a set, use `⨍ x in s, f x`, defined as `⨍ x, f x ∂(volume.restrict s)`. -/
notation3 "⨍ "(...)", "r:60:(scoped f => average volume f) => r
/-- Average value of a function `f` w.r.t. a measure `μ` on a set `s`.
It is equal to `(μ s).toReal⁻¹ * ∫ x, f x ∂μ`, so it takes value zero if `f` is not integrable on
`s` or if `s` has infinite measure. If `s` has measure `1`, then the average of any function is
equal to its integral.
For the average w.r.t. the volume, one can omit `∂volume`. -/
notation3 "⨍ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => average (Measure.restrict μ s) r
/-- Average value of a function `f` w.r.t. to the standard measure on a set `s`.
It is equal to `(volume s).toReal⁻¹ * ∫ x, f x`, so it takes value zero `f` is not integrable on `s`
or if `s` has infinite measure. If `s` has measure `1`, then the average of any function is equal to
its integral. -/
notation3 "⨍ "(...)" in "s", "r:60:(scoped f => average (Measure.restrict volume s) f) => r
@[simp]
theorem average_zero : ⨍ _, (0 : E) ∂μ = 0 := by rw [average, integral_zero]
#align measure_theory.average_zero MeasureTheory.average_zero
@[simp]
theorem average_zero_measure (f : α → E) : ⨍ x, f x ∂(0 : Measure α) = 0 := by
rw [average, smul_zero, integral_zero_measure]
#align measure_theory.average_zero_measure MeasureTheory.average_zero_measure
@[simp]
theorem average_neg (f : α → E) : ⨍ x, -f x ∂μ = -⨍ x, f x ∂μ :=
integral_neg f
#align measure_theory.average_neg MeasureTheory.average_neg
theorem average_eq' (f : α → E) : ⨍ x, f x ∂μ = ∫ x, f x ∂(μ univ)⁻¹ • μ :=
rfl
#align measure_theory.average_eq' MeasureTheory.average_eq'
theorem average_eq (f : α → E) : ⨍ x, f x ∂μ = (μ univ).toReal⁻¹ • ∫ x, f x ∂μ := by
rw [average_eq', integral_smul_measure, ENNReal.toReal_inv]
#align measure_theory.average_eq MeasureTheory.average_eq
theorem average_eq_integral [IsProbabilityMeasure μ] (f : α → E) : ⨍ x, f x ∂μ = ∫ x, f x ∂μ := by
rw [average, measure_univ, inv_one, one_smul]
#align measure_theory.average_eq_integral MeasureTheory.average_eq_integral
@[simp]
theorem measure_smul_average [IsFiniteMeasure μ] (f : α → E) :
(μ univ).toReal • ⨍ x, f x ∂μ = ∫ x, f x ∂μ := by
rcases eq_or_ne μ 0 with hμ | hμ
· rw [hμ, integral_zero_measure, average_zero_measure, smul_zero]
· rw [average_eq, smul_inv_smul₀]
refine (ENNReal.toReal_pos ?_ <| measure_ne_top _ _).ne'
rwa [Ne, measure_univ_eq_zero]
#align measure_theory.measure_smul_average MeasureTheory.measure_smul_average
| Mathlib/MeasureTheory/Integral/Average.lean | 350 | 351 | theorem setAverage_eq (f : α → E) (s : Set α) :
⨍ x in s, f x ∂μ = (μ s).toReal⁻¹ • ∫ x in s, f x ∂μ := by | rw [average_eq, restrict_apply_univ]
|
/-
Copyright (c) 2019 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Data.List.Perm
import Mathlib.Data.List.Range
#align_import data.list.sublists from "leanprover-community/mathlib"@"ccad6d5093bd2f5c6ca621fc74674cce51355af6"
/-! # sublists
`List.Sublists` gives a list of all (not necessarily contiguous) sublists of a list.
This file contains basic results on this function.
-/
/-
Porting note: various auxiliary definitions such as `sublists'_aux` were left out of the port
because they were only used to prove properties of `sublists`, and these proofs have changed.
-/
universe u v w
variable {α : Type u} {β : Type v} {γ : Type w}
open Nat
namespace List
/-! ### sublists -/
@[simp]
theorem sublists'_nil : sublists' (@nil α) = [[]] :=
rfl
#align list.sublists'_nil List.sublists'_nil
@[simp]
theorem sublists'_singleton (a : α) : sublists' [a] = [[], [a]] :=
rfl
#align list.sublists'_singleton List.sublists'_singleton
#noalign list.map_sublists'_aux
#noalign list.sublists'_aux_append
#noalign list.sublists'_aux_eq_sublists'
-- Porting note: Not the same as `sublists'_aux` from Lean3
/-- Auxiliary helper definition for `sublists'` -/
def sublists'Aux (a : α) (r₁ r₂ : List (List α)) : List (List α) :=
r₁.foldl (init := r₂) fun r l => r ++ [a :: l]
#align list.sublists'_aux List.sublists'Aux
theorem sublists'Aux_eq_array_foldl (a : α) : ∀ (r₁ r₂ : List (List α)),
sublists'Aux a r₁ r₂ = ((r₁.toArray).foldl (init := r₂.toArray)
(fun r l => r.push (a :: l))).toList := by
intro r₁ r₂
rw [sublists'Aux, Array.foldl_eq_foldl_data]
have := List.foldl_hom Array.toList (fun r l => r.push (a :: l))
(fun r l => r ++ [a :: l]) r₁ r₂.toArray (by simp)
simpa using this
theorem sublists'_eq_sublists'Aux (l : List α) :
sublists' l = l.foldr (fun a r => sublists'Aux a r r) [[]] := by
simp only [sublists', sublists'Aux_eq_array_foldl]
rw [← List.foldr_hom Array.toList]
· rfl
· intros _ _; congr <;> simp
theorem sublists'Aux_eq_map (a : α) (r₁ : List (List α)) : ∀ (r₂ : List (List α)),
sublists'Aux a r₁ r₂ = r₂ ++ map (cons a) r₁ :=
List.reverseRecOn r₁ (fun _ => by simp [sublists'Aux]) fun r₁ l ih r₂ => by
rw [map_append, map_singleton, ← append_assoc, ← ih, sublists'Aux, foldl_append, foldl]
simp [sublists'Aux]
-- Porting note: simp can prove `sublists'_singleton`
@[simp 900]
theorem sublists'_cons (a : α) (l : List α) :
sublists' (a :: l) = sublists' l ++ map (cons a) (sublists' l) := by
simp [sublists'_eq_sublists'Aux, foldr_cons, sublists'Aux_eq_map]
#align list.sublists'_cons List.sublists'_cons
@[simp]
theorem mem_sublists' {s t : List α} : s ∈ sublists' t ↔ s <+ t := by
induction' t with a t IH generalizing s
· simp only [sublists'_nil, mem_singleton]
exact ⟨fun h => by rw [h], eq_nil_of_sublist_nil⟩
simp only [sublists'_cons, mem_append, IH, mem_map]
constructor <;> intro h
· rcases h with (h | ⟨s, h, rfl⟩)
· exact sublist_cons_of_sublist _ h
· exact h.cons_cons _
· cases' h with _ _ _ h s _ _ h
· exact Or.inl h
· exact Or.inr ⟨s, h, rfl⟩
#align list.mem_sublists' List.mem_sublists'
@[simp]
theorem length_sublists' : ∀ l : List α, length (sublists' l) = 2 ^ length l
| [] => rfl
| a :: l => by
simp_arith only [sublists'_cons, length_append, length_sublists' l,
length_map, length, Nat.pow_succ']
#align list.length_sublists' List.length_sublists'
@[simp]
theorem sublists_nil : sublists (@nil α) = [[]] :=
rfl
#align list.sublists_nil List.sublists_nil
@[simp]
theorem sublists_singleton (a : α) : sublists [a] = [[], [a]] :=
rfl
#align list.sublists_singleton List.sublists_singleton
-- Porting note: Not the same as `sublists_aux` from Lean3
/-- Auxiliary helper function for `sublists` -/
def sublistsAux (a : α) (r : List (List α)) : List (List α) :=
r.foldl (init := []) fun r l => r ++ [l, a :: l]
#align list.sublists_aux List.sublistsAux
theorem sublistsAux_eq_array_foldl :
sublistsAux = fun (a : α) (r : List (List α)) =>
(r.toArray.foldl (init := #[])
fun r l => (r.push l).push (a :: l)).toList := by
funext a r
simp only [sublistsAux, Array.foldl_eq_foldl_data, Array.mkEmpty]
have := foldl_hom Array.toList (fun r l => (r.push l).push (a :: l))
(fun (r : List (List α)) l => r ++ [l, a :: l]) r #[]
(by simp)
simpa using this
theorem sublistsAux_eq_bind :
sublistsAux = fun (a : α) (r : List (List α)) => r.bind fun l => [l, a :: l] :=
funext fun a => funext fun r =>
List.reverseRecOn r
(by simp [sublistsAux])
(fun r l ih => by
rw [append_bind, ← ih, bind_singleton, sublistsAux, foldl_append]
simp [sublistsAux])
@[csimp] theorem sublists_eq_sublistsFast : @sublists = @sublistsFast := by
ext α l : 2
trans l.foldr sublistsAux [[]]
· rw [sublistsAux_eq_bind, sublists]
· simp only [sublistsFast, sublistsAux_eq_array_foldl, Array.foldr_eq_foldr_data]
rw [← foldr_hom Array.toList]
· rfl
· intros _ _; congr <;> simp
#noalign list.sublists_aux₁_eq_sublists_aux
#noalign list.sublists_aux_cons_eq_sublists_aux₁
#noalign list.sublists_aux_eq_foldr.aux
#noalign list.sublists_aux_eq_foldr
#noalign list.sublists_aux_cons_cons
#noalign list.sublists_aux₁_append
#noalign list.sublists_aux₁_concat
#noalign list.sublists_aux₁_bind
#noalign list.sublists_aux_cons_append
theorem sublists_append (l₁ l₂ : List α) :
sublists (l₁ ++ l₂) = (sublists l₂) >>= (fun x => (sublists l₁).map (· ++ x)) := by
simp only [sublists, foldr_append]
induction l₁ with
| nil => simp
| cons a l₁ ih =>
rw [foldr_cons, ih]
simp [List.bind, join_join, Function.comp]
#align list.sublists_append List.sublists_append
-- Porting note (#10756): new theorem
theorem sublists_cons (a : α) (l : List α) :
sublists (a :: l) = sublists l >>= (fun x => [x, a :: x]) :=
show sublists ([a] ++ l) = _ by
rw [sublists_append]
simp only [sublists_singleton, map_cons, bind_eq_bind, nil_append, cons_append, map_nil]
@[simp]
theorem sublists_concat (l : List α) (a : α) :
sublists (l ++ [a]) = sublists l ++ map (fun x => x ++ [a]) (sublists l) := by
rw [sublists_append, sublists_singleton, bind_eq_bind, cons_bind, cons_bind, nil_bind,
map_id'' append_nil, append_nil]
#align list.sublists_concat List.sublists_concat
theorem sublists_reverse (l : List α) : sublists (reverse l) = map reverse (sublists' l) := by
induction' l with hd tl ih <;> [rfl;
simp only [reverse_cons, sublists_append, sublists'_cons, map_append, ih, sublists_singleton,
map_eq_map, bind_eq_bind, map_map, cons_bind, append_nil, nil_bind, (· ∘ ·)]]
#align list.sublists_reverse List.sublists_reverse
theorem sublists_eq_sublists' (l : List α) : sublists l = map reverse (sublists' (reverse l)) := by
rw [← sublists_reverse, reverse_reverse]
#align list.sublists_eq_sublists' List.sublists_eq_sublists'
theorem sublists'_reverse (l : List α) : sublists' (reverse l) = map reverse (sublists l) := by
simp only [sublists_eq_sublists', map_map, map_id'' reverse_reverse, Function.comp]
#align list.sublists'_reverse List.sublists'_reverse
theorem sublists'_eq_sublists (l : List α) : sublists' l = map reverse (sublists (reverse l)) := by
rw [← sublists'_reverse, reverse_reverse]
#align list.sublists'_eq_sublists List.sublists'_eq_sublists
#noalign list.sublists_aux_ne_nil
@[simp]
| Mathlib/Data/List/Sublists.lean | 204 | 206 | theorem mem_sublists {s t : List α} : s ∈ sublists t ↔ s <+ t := by |
rw [← reverse_sublist, ← mem_sublists', sublists'_reverse,
mem_map_of_injective reverse_injective]
|
/-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.Data.Multiset.Bind
#align_import data.multiset.pi from "leanprover-community/mathlib"@"b2c89893177f66a48daf993b7ba5ef7cddeff8c9"
/-!
# The cartesian product of multisets
-/
namespace Multiset
section Pi
variable {α : Type*}
open Function
/-- Given `δ : α → Type*`, `Pi.empty δ` is the trivial dependent function out of the empty
multiset. -/
def Pi.empty (δ : α → Sort*) : ∀ a ∈ (0 : Multiset α), δ a :=
nofun
#align multiset.pi.empty Multiset.Pi.empty
universe u v
variable [DecidableEq α] {β : α → Type u} {δ : α → Sort v}
/-- Given `δ : α → Type*`, a multiset `m` and a term `a`, as well as a term `b : δ a` and a
function `f` such that `f a' : δ a'` for all `a'` in `m`, `Pi.cons m a b f` is a function `g` such
that `g a'' : δ a''` for all `a''` in `a ::ₘ m`. -/
def Pi.cons (m : Multiset α) (a : α) (b : δ a) (f : ∀ a ∈ m, δ a) : ∀ a' ∈ a ::ₘ m, δ a' :=
fun a' ha' => if h : a' = a then Eq.ndrec b h.symm else f a' <| (mem_cons.1 ha').resolve_left h
#align multiset.pi.cons Multiset.Pi.cons
theorem Pi.cons_same {m : Multiset α} {a : α} {b : δ a} {f : ∀ a ∈ m, δ a} (h : a ∈ a ::ₘ m) :
Pi.cons m a b f a h = b :=
dif_pos rfl
#align multiset.pi.cons_same Multiset.Pi.cons_same
theorem Pi.cons_ne {m : Multiset α} {a a' : α} {b : δ a} {f : ∀ a ∈ m, δ a} (h' : a' ∈ a ::ₘ m)
(h : a' ≠ a) : Pi.cons m a b f a' h' = f a' ((mem_cons.1 h').resolve_left h) :=
dif_neg h
#align multiset.pi.cons_ne Multiset.Pi.cons_ne
theorem Pi.cons_swap {a a' : α} {b : δ a} {b' : δ a'} {m : Multiset α} {f : ∀ a ∈ m, δ a}
(h : a ≠ a') : HEq (Pi.cons (a' ::ₘ m) a b (Pi.cons m a' b' f))
(Pi.cons (a ::ₘ m) a' b' (Pi.cons m a b f)) := by
apply hfunext rfl
simp only [heq_iff_eq]
rintro a'' _ rfl
refine hfunext (by rw [Multiset.cons_swap]) fun ha₁ ha₂ _ => ?_
rcases ne_or_eq a'' a with (h₁ | rfl)
on_goal 1 => rcases eq_or_ne a'' a' with (rfl | h₂)
all_goals simp [*, Pi.cons_same, Pi.cons_ne]
#align multiset.pi.cons_swap Multiset.Pi.cons_swap
@[simp, nolint simpNF] -- Porting note: false positive, this lemma can prove itself
theorem pi.cons_eta {m : Multiset α} {a : α} (f : ∀ a' ∈ a ::ₘ m, δ a') :
(Pi.cons m a (f _ (mem_cons_self _ _)) fun a' ha' => f a' (mem_cons_of_mem ha')) = f := by
ext a' h'
by_cases h : a' = a
· subst h
rw [Pi.cons_same]
· rw [Pi.cons_ne _ h]
#align multiset.pi.cons_eta Multiset.pi.cons_eta
| Mathlib/Data/Multiset/Pi.lean | 71 | 80 | theorem Pi.cons_injective {a : α} {b : δ a} {s : Multiset α} (hs : a ∉ s) :
Function.Injective (Pi.cons s a b) := fun f₁ f₂ eq =>
funext fun a' =>
funext fun h' =>
have ne : a ≠ a' := fun h => hs <| h.symm ▸ h'
have : a' ∈ a ::ₘ s := mem_cons_of_mem h'
calc
f₁ a' h' = Pi.cons s a b f₁ a' this := by | rw [Pi.cons_ne this ne.symm]
_ = Pi.cons s a b f₂ a' this := by rw [eq]
_ = f₂ a' h' := by rw [Pi.cons_ne this ne.symm]
|
/-
Copyright (c) 2021 Hunter Monroe. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Hunter Monroe, Kyle Miller, Alena Gusakov
-/
import Mathlib.Combinatorics.SimpleGraph.Finite
import Mathlib.Combinatorics.SimpleGraph.Maps
#align_import combinatorics.simple_graph.subgraph from "leanprover-community/mathlib"@"c6ef6387ede9983aee397d442974e61f89dfd87b"
/-!
# Subgraphs of a simple graph
A subgraph of a simple graph consists of subsets of the graph's vertices and edges such that the
endpoints of each edge are present in the vertex subset. The edge subset is formalized as a
sub-relation of the adjacency relation of the simple graph.
## Main definitions
* `Subgraph G` is the type of subgraphs of a `G : SimpleGraph V`.
* `Subgraph.neighborSet`, `Subgraph.incidenceSet`, and `Subgraph.degree` are like their
`SimpleGraph` counterparts, but they refer to vertices from `G` to avoid subtype coercions.
* `Subgraph.coe` is the coercion from a `G' : Subgraph G` to a `SimpleGraph G'.verts`.
(In Lean 3 this could not be a `Coe` instance since the destination type depends on `G'`.)
* `Subgraph.IsSpanning` for whether a subgraph is a spanning subgraph and
`Subgraph.IsInduced` for whether a subgraph is an induced subgraph.
* Instances for `Lattice (Subgraph G)` and `BoundedOrder (Subgraph G)`.
* `SimpleGraph.toSubgraph`: If a `SimpleGraph` is a subgraph of another, then you can turn it
into a member of the larger graph's `SimpleGraph.Subgraph` type.
* Graph homomorphisms from a subgraph to a graph (`Subgraph.map_top`) and between subgraphs
(`Subgraph.map`).
## Implementation notes
* Recall that subgraphs are not determined by their vertex sets, so `SetLike` does not apply to
this kind of subobject.
## Todo
* Images of graph homomorphisms as subgraphs.
-/
universe u v
namespace SimpleGraph
/-- A subgraph of a `SimpleGraph` is a subset of vertices along with a restriction of the adjacency
relation that is symmetric and is supported by the vertex subset. They also form a bounded lattice.
Thinking of `V → V → Prop` as `Set (V × V)`, a set of darts (i.e., half-edges), then
`Subgraph.adj_sub` is that the darts of a subgraph are a subset of the darts of `G`. -/
@[ext]
structure Subgraph {V : Type u} (G : SimpleGraph V) where
verts : Set V
Adj : V → V → Prop
adj_sub : ∀ {v w : V}, Adj v w → G.Adj v w
edge_vert : ∀ {v w : V}, Adj v w → v ∈ verts
symm : Symmetric Adj := by aesop_graph -- Porting note: Originally `by obviously`
#align simple_graph.subgraph SimpleGraph.Subgraph
initialize_simps_projections SimpleGraph.Subgraph (Adj → adj)
variable {ι : Sort*} {V : Type u} {W : Type v}
/-- The one-vertex subgraph. -/
@[simps]
protected def singletonSubgraph (G : SimpleGraph V) (v : V) : G.Subgraph where
verts := {v}
Adj := ⊥
adj_sub := False.elim
edge_vert := False.elim
symm _ _ := False.elim
#align simple_graph.singleton_subgraph SimpleGraph.singletonSubgraph
/-- The one-edge subgraph. -/
@[simps]
def subgraphOfAdj (G : SimpleGraph V) {v w : V} (hvw : G.Adj v w) : G.Subgraph where
verts := {v, w}
Adj a b := s(v, w) = s(a, b)
adj_sub h := by
rw [← G.mem_edgeSet, ← h]
exact hvw
edge_vert {a b} h := by
apply_fun fun e ↦ a ∈ e at h
simp only [Sym2.mem_iff, true_or, eq_iff_iff, iff_true] at h
exact h
#align simple_graph.subgraph_of_adj SimpleGraph.subgraphOfAdj
namespace Subgraph
variable {G : SimpleGraph V} {G₁ G₂ : G.Subgraph} {a b : V}
protected theorem loopless (G' : Subgraph G) : Irreflexive G'.Adj :=
fun v h ↦ G.loopless v (G'.adj_sub h)
#align simple_graph.subgraph.loopless SimpleGraph.Subgraph.loopless
theorem adj_comm (G' : Subgraph G) (v w : V) : G'.Adj v w ↔ G'.Adj w v :=
⟨fun x ↦ G'.symm x, fun x ↦ G'.symm x⟩
#align simple_graph.subgraph.adj_comm SimpleGraph.Subgraph.adj_comm
@[symm]
theorem adj_symm (G' : Subgraph G) {u v : V} (h : G'.Adj u v) : G'.Adj v u :=
G'.symm h
#align simple_graph.subgraph.adj_symm SimpleGraph.Subgraph.adj_symm
protected theorem Adj.symm {G' : Subgraph G} {u v : V} (h : G'.Adj u v) : G'.Adj v u :=
G'.symm h
#align simple_graph.subgraph.adj.symm SimpleGraph.Subgraph.Adj.symm
protected theorem Adj.adj_sub {H : G.Subgraph} {u v : V} (h : H.Adj u v) : G.Adj u v :=
H.adj_sub h
#align simple_graph.subgraph.adj.adj_sub SimpleGraph.Subgraph.Adj.adj_sub
protected theorem Adj.fst_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ∈ H.verts :=
H.edge_vert h
#align simple_graph.subgraph.adj.fst_mem SimpleGraph.Subgraph.Adj.fst_mem
protected theorem Adj.snd_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : v ∈ H.verts :=
h.symm.fst_mem
#align simple_graph.subgraph.adj.snd_mem SimpleGraph.Subgraph.Adj.snd_mem
protected theorem Adj.ne {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ≠ v :=
h.adj_sub.ne
#align simple_graph.subgraph.adj.ne SimpleGraph.Subgraph.Adj.ne
/-- Coercion from `G' : Subgraph G` to a `SimpleGraph G'.verts`. -/
@[simps]
protected def coe (G' : Subgraph G) : SimpleGraph G'.verts where
Adj v w := G'.Adj v w
symm _ _ h := G'.symm h
loopless v h := loopless G v (G'.adj_sub h)
#align simple_graph.subgraph.coe SimpleGraph.Subgraph.coe
@[simp]
theorem coe_adj_sub (G' : Subgraph G) (u v : G'.verts) (h : G'.coe.Adj u v) : G.Adj u v :=
G'.adj_sub h
#align simple_graph.subgraph.coe_adj_sub SimpleGraph.Subgraph.coe_adj_sub
-- Given `h : H.Adj u v`, then `h.coe : H.coe.Adj ⟨u, _⟩ ⟨v, _⟩`.
protected theorem Adj.coe {H : G.Subgraph} {u v : V} (h : H.Adj u v) :
H.coe.Adj ⟨u, H.edge_vert h⟩ ⟨v, H.edge_vert h.symm⟩ := h
#align simple_graph.subgraph.adj.coe SimpleGraph.Subgraph.Adj.coe
/-- A subgraph is called a *spanning subgraph* if it contains all the vertices of `G`. -/
def IsSpanning (G' : Subgraph G) : Prop :=
∀ v : V, v ∈ G'.verts
#align simple_graph.subgraph.is_spanning SimpleGraph.Subgraph.IsSpanning
theorem isSpanning_iff {G' : Subgraph G} : G'.IsSpanning ↔ G'.verts = Set.univ :=
Set.eq_univ_iff_forall.symm
#align simple_graph.subgraph.is_spanning_iff SimpleGraph.Subgraph.isSpanning_iff
/-- Coercion from `Subgraph G` to `SimpleGraph V`. If `G'` is a spanning
subgraph, then `G'.spanningCoe` yields an isomorphic graph.
In general, this adds in all vertices from `V` as isolated vertices. -/
@[simps]
protected def spanningCoe (G' : Subgraph G) : SimpleGraph V where
Adj := G'.Adj
symm := G'.symm
loopless v hv := G.loopless v (G'.adj_sub hv)
#align simple_graph.subgraph.spanning_coe SimpleGraph.Subgraph.spanningCoe
@[simp]
theorem Adj.of_spanningCoe {G' : Subgraph G} {u v : G'.verts} (h : G'.spanningCoe.Adj u v) :
G.Adj u v :=
G'.adj_sub h
#align simple_graph.subgraph.adj.of_spanning_coe SimpleGraph.Subgraph.Adj.of_spanningCoe
theorem spanningCoe_inj : G₁.spanningCoe = G₂.spanningCoe ↔ G₁.Adj = G₂.Adj := by
simp [Subgraph.spanningCoe]
#align simple_graph.subgraph.spanning_coe_inj SimpleGraph.Subgraph.spanningCoe_inj
/-- `spanningCoe` is equivalent to `coe` for a subgraph that `IsSpanning`. -/
@[simps]
def spanningCoeEquivCoeOfSpanning (G' : Subgraph G) (h : G'.IsSpanning) :
G'.spanningCoe ≃g G'.coe where
toFun v := ⟨v, h v⟩
invFun v := v
left_inv _ := rfl
right_inv _ := rfl
map_rel_iff' := Iff.rfl
#align simple_graph.subgraph.spanning_coe_equiv_coe_of_spanning SimpleGraph.Subgraph.spanningCoeEquivCoeOfSpanning
/-- A subgraph is called an *induced subgraph* if vertices of `G'` are adjacent if
they are adjacent in `G`. -/
def IsInduced (G' : Subgraph G) : Prop :=
∀ {v w : V}, v ∈ G'.verts → w ∈ G'.verts → G.Adj v w → G'.Adj v w
#align simple_graph.subgraph.is_induced SimpleGraph.Subgraph.IsInduced
/-- `H.support` is the set of vertices that form edges in the subgraph `H`. -/
def support (H : Subgraph G) : Set V := Rel.dom H.Adj
#align simple_graph.subgraph.support SimpleGraph.Subgraph.support
theorem mem_support (H : Subgraph G) {v : V} : v ∈ H.support ↔ ∃ w, H.Adj v w := Iff.rfl
#align simple_graph.subgraph.mem_support SimpleGraph.Subgraph.mem_support
theorem support_subset_verts (H : Subgraph G) : H.support ⊆ H.verts :=
fun _ ⟨_, h⟩ ↦ H.edge_vert h
#align simple_graph.subgraph.support_subset_verts SimpleGraph.Subgraph.support_subset_verts
/-- `G'.neighborSet v` is the set of vertices adjacent to `v` in `G'`. -/
def neighborSet (G' : Subgraph G) (v : V) : Set V := {w | G'.Adj v w}
#align simple_graph.subgraph.neighbor_set SimpleGraph.Subgraph.neighborSet
theorem neighborSet_subset (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G.neighborSet v :=
fun _ ↦ G'.adj_sub
#align simple_graph.subgraph.neighbor_set_subset SimpleGraph.Subgraph.neighborSet_subset
theorem neighborSet_subset_verts (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G'.verts :=
fun _ h ↦ G'.edge_vert (adj_symm G' h)
#align simple_graph.subgraph.neighbor_set_subset_verts SimpleGraph.Subgraph.neighborSet_subset_verts
@[simp]
theorem mem_neighborSet (G' : Subgraph G) (v w : V) : w ∈ G'.neighborSet v ↔ G'.Adj v w := Iff.rfl
#align simple_graph.subgraph.mem_neighbor_set SimpleGraph.Subgraph.mem_neighborSet
/-- A subgraph as a graph has equivalent neighbor sets. -/
def coeNeighborSetEquiv {G' : Subgraph G} (v : G'.verts) :
G'.coe.neighborSet v ≃ G'.neighborSet v where
toFun w := ⟨w, w.2⟩
invFun w := ⟨⟨w, G'.edge_vert (G'.adj_symm w.2)⟩, w.2⟩
left_inv _ := rfl
right_inv _ := rfl
#align simple_graph.subgraph.coe_neighbor_set_equiv SimpleGraph.Subgraph.coeNeighborSetEquiv
/-- The edge set of `G'` consists of a subset of edges of `G`. -/
def edgeSet (G' : Subgraph G) : Set (Sym2 V) := Sym2.fromRel G'.symm
#align simple_graph.subgraph.edge_set SimpleGraph.Subgraph.edgeSet
theorem edgeSet_subset (G' : Subgraph G) : G'.edgeSet ⊆ G.edgeSet :=
Sym2.ind (fun _ _ ↦ G'.adj_sub)
#align simple_graph.subgraph.edge_set_subset SimpleGraph.Subgraph.edgeSet_subset
@[simp]
theorem mem_edgeSet {G' : Subgraph G} {v w : V} : s(v, w) ∈ G'.edgeSet ↔ G'.Adj v w := Iff.rfl
#align simple_graph.subgraph.mem_edge_set SimpleGraph.Subgraph.mem_edgeSet
theorem mem_verts_if_mem_edge {G' : Subgraph G} {e : Sym2 V} {v : V} (he : e ∈ G'.edgeSet)
(hv : v ∈ e) : v ∈ G'.verts := by
revert hv
refine Sym2.ind (fun v w he ↦ ?_) e he
intro hv
rcases Sym2.mem_iff.mp hv with (rfl | rfl)
· exact G'.edge_vert he
· exact G'.edge_vert (G'.symm he)
#align simple_graph.subgraph.mem_verts_if_mem_edge SimpleGraph.Subgraph.mem_verts_if_mem_edge
/-- The `incidenceSet` is the set of edges incident to a given vertex. -/
def incidenceSet (G' : Subgraph G) (v : V) : Set (Sym2 V) := {e ∈ G'.edgeSet | v ∈ e}
#align simple_graph.subgraph.incidence_set SimpleGraph.Subgraph.incidenceSet
theorem incidenceSet_subset_incidenceSet (G' : Subgraph G) (v : V) :
G'.incidenceSet v ⊆ G.incidenceSet v :=
fun _ h ↦ ⟨G'.edgeSet_subset h.1, h.2⟩
#align simple_graph.subgraph.incidence_set_subset_incidence_set SimpleGraph.Subgraph.incidenceSet_subset_incidenceSet
theorem incidenceSet_subset (G' : Subgraph G) (v : V) : G'.incidenceSet v ⊆ G'.edgeSet :=
fun _ h ↦ h.1
#align simple_graph.subgraph.incidence_set_subset SimpleGraph.Subgraph.incidenceSet_subset
/-- Give a vertex as an element of the subgraph's vertex type. -/
abbrev vert (G' : Subgraph G) (v : V) (h : v ∈ G'.verts) : G'.verts := ⟨v, h⟩
#align simple_graph.subgraph.vert SimpleGraph.Subgraph.vert
/--
Create an equal copy of a subgraph (see `copy_eq`) with possibly different definitional equalities.
See Note [range copy pattern].
-/
def copy (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts)
(adj' : V → V → Prop) (hadj : adj' = G'.Adj) : Subgraph G where
verts := V''
Adj := adj'
adj_sub := hadj.symm ▸ G'.adj_sub
edge_vert := hV.symm ▸ hadj.symm ▸ G'.edge_vert
symm := hadj.symm ▸ G'.symm
#align simple_graph.subgraph.copy SimpleGraph.Subgraph.copy
theorem copy_eq (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts)
(adj' : V → V → Prop) (hadj : adj' = G'.Adj) : G'.copy V'' hV adj' hadj = G' :=
Subgraph.ext _ _ hV hadj
#align simple_graph.subgraph.copy_eq SimpleGraph.Subgraph.copy_eq
/-- The union of two subgraphs. -/
instance : Sup G.Subgraph where
sup G₁ G₂ :=
{ verts := G₁.verts ∪ G₂.verts
Adj := G₁.Adj ⊔ G₂.Adj
adj_sub := fun hab => Or.elim hab (fun h => G₁.adj_sub h) fun h => G₂.adj_sub h
edge_vert := Or.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h
symm := fun _ _ => Or.imp G₁.adj_symm G₂.adj_symm }
/-- The intersection of two subgraphs. -/
instance : Inf G.Subgraph where
inf G₁ G₂ :=
{ verts := G₁.verts ∩ G₂.verts
Adj := G₁.Adj ⊓ G₂.Adj
adj_sub := fun hab => G₁.adj_sub hab.1
edge_vert := And.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h
symm := fun _ _ => And.imp G₁.adj_symm G₂.adj_symm }
/-- The `top` subgraph is `G` as a subgraph of itself. -/
instance : Top G.Subgraph where
top :=
{ verts := Set.univ
Adj := G.Adj
adj_sub := id
edge_vert := @fun v _ _ => Set.mem_univ v
symm := G.symm }
/-- The `bot` subgraph is the subgraph with no vertices or edges. -/
instance : Bot G.Subgraph where
bot :=
{ verts := ∅
Adj := ⊥
adj_sub := False.elim
edge_vert := False.elim
symm := fun _ _ => id }
instance : SupSet G.Subgraph where
sSup s :=
{ verts := ⋃ G' ∈ s, verts G'
Adj := fun a b => ∃ G' ∈ s, Adj G' a b
adj_sub := by
rintro a b ⟨G', -, hab⟩
exact G'.adj_sub hab
edge_vert := by
rintro a b ⟨G', hG', hab⟩
exact Set.mem_iUnion₂_of_mem hG' (G'.edge_vert hab)
symm := fun a b h => by simpa [adj_comm] using h }
instance : InfSet G.Subgraph where
sInf s :=
{ verts := ⋂ G' ∈ s, verts G'
Adj := fun a b => (∀ ⦃G'⦄, G' ∈ s → Adj G' a b) ∧ G.Adj a b
adj_sub := And.right
edge_vert := fun hab => Set.mem_iInter₂_of_mem fun G' hG' => G'.edge_vert <| hab.1 hG'
symm := fun _ _ => And.imp (forall₂_imp fun _ _ => Adj.symm) G.adj_symm }
@[simp]
theorem sup_adj : (G₁ ⊔ G₂).Adj a b ↔ G₁.Adj a b ∨ G₂.Adj a b :=
Iff.rfl
#align simple_graph.subgraph.sup_adj SimpleGraph.Subgraph.sup_adj
@[simp]
theorem inf_adj : (G₁ ⊓ G₂).Adj a b ↔ G₁.Adj a b ∧ G₂.Adj a b :=
Iff.rfl
#align simple_graph.subgraph.inf_adj SimpleGraph.Subgraph.inf_adj
@[simp]
theorem top_adj : (⊤ : Subgraph G).Adj a b ↔ G.Adj a b :=
Iff.rfl
#align simple_graph.subgraph.top_adj SimpleGraph.Subgraph.top_adj
@[simp]
theorem not_bot_adj : ¬ (⊥ : Subgraph G).Adj a b :=
not_false
#align simple_graph.subgraph.not_bot_adj SimpleGraph.Subgraph.not_bot_adj
@[simp]
theorem verts_sup (G₁ G₂ : G.Subgraph) : (G₁ ⊔ G₂).verts = G₁.verts ∪ G₂.verts :=
rfl
#align simple_graph.subgraph.verts_sup SimpleGraph.Subgraph.verts_sup
@[simp]
theorem verts_inf (G₁ G₂ : G.Subgraph) : (G₁ ⊓ G₂).verts = G₁.verts ∩ G₂.verts :=
rfl
#align simple_graph.subgraph.verts_inf SimpleGraph.Subgraph.verts_inf
@[simp]
theorem verts_top : (⊤ : G.Subgraph).verts = Set.univ :=
rfl
#align simple_graph.subgraph.verts_top SimpleGraph.Subgraph.verts_top
@[simp]
theorem verts_bot : (⊥ : G.Subgraph).verts = ∅ :=
rfl
#align simple_graph.subgraph.verts_bot SimpleGraph.Subgraph.verts_bot
@[simp]
theorem sSup_adj {s : Set G.Subgraph} : (sSup s).Adj a b ↔ ∃ G ∈ s, Adj G a b :=
Iff.rfl
#align simple_graph.subgraph.Sup_adj SimpleGraph.Subgraph.sSup_adj
@[simp]
theorem sInf_adj {s : Set G.Subgraph} : (sInf s).Adj a b ↔ (∀ G' ∈ s, Adj G' a b) ∧ G.Adj a b :=
Iff.rfl
#align simple_graph.subgraph.Inf_adj SimpleGraph.Subgraph.sInf_adj
@[simp]
theorem iSup_adj {f : ι → G.Subgraph} : (⨆ i, f i).Adj a b ↔ ∃ i, (f i).Adj a b := by
simp [iSup]
#align simple_graph.subgraph.supr_adj SimpleGraph.Subgraph.iSup_adj
@[simp]
theorem iInf_adj {f : ι → G.Subgraph} : (⨅ i, f i).Adj a b ↔ (∀ i, (f i).Adj a b) ∧ G.Adj a b := by
simp [iInf]
#align simple_graph.subgraph.infi_adj SimpleGraph.Subgraph.iInf_adj
theorem sInf_adj_of_nonempty {s : Set G.Subgraph} (hs : s.Nonempty) :
(sInf s).Adj a b ↔ ∀ G' ∈ s, Adj G' a b :=
sInf_adj.trans <|
and_iff_left_of_imp <| by
obtain ⟨G', hG'⟩ := hs
exact fun h => G'.adj_sub (h _ hG')
#align simple_graph.subgraph.Inf_adj_of_nonempty SimpleGraph.Subgraph.sInf_adj_of_nonempty
theorem iInf_adj_of_nonempty [Nonempty ι] {f : ι → G.Subgraph} :
(⨅ i, f i).Adj a b ↔ ∀ i, (f i).Adj a b := by
rw [iInf, sInf_adj_of_nonempty (Set.range_nonempty _)]
simp
#align simple_graph.subgraph.infi_adj_of_nonempty SimpleGraph.Subgraph.iInf_adj_of_nonempty
@[simp]
theorem verts_sSup (s : Set G.Subgraph) : (sSup s).verts = ⋃ G' ∈ s, verts G' :=
rfl
#align simple_graph.subgraph.verts_Sup SimpleGraph.Subgraph.verts_sSup
@[simp]
theorem verts_sInf (s : Set G.Subgraph) : (sInf s).verts = ⋂ G' ∈ s, verts G' :=
rfl
#align simple_graph.subgraph.verts_Inf SimpleGraph.Subgraph.verts_sInf
@[simp]
theorem verts_iSup {f : ι → G.Subgraph} : (⨆ i, f i).verts = ⋃ i, (f i).verts := by simp [iSup]
#align simple_graph.subgraph.verts_supr SimpleGraph.Subgraph.verts_iSup
@[simp]
theorem verts_iInf {f : ι → G.Subgraph} : (⨅ i, f i).verts = ⋂ i, (f i).verts := by simp [iInf]
#align simple_graph.subgraph.verts_infi SimpleGraph.Subgraph.verts_iInf
theorem verts_spanningCoe_injective :
(fun G' : Subgraph G => (G'.verts, G'.spanningCoe)).Injective := by
intro G₁ G₂ h
rw [Prod.ext_iff] at h
exact Subgraph.ext _ _ h.1 (spanningCoe_inj.1 h.2)
/-- For subgraphs `G₁`, `G₂`, `G₁ ≤ G₂` iff `G₁.verts ⊆ G₂.verts` and
`∀ a b, G₁.adj a b → G₂.adj a b`. -/
instance distribLattice : DistribLattice G.Subgraph :=
{ show DistribLattice G.Subgraph from
verts_spanningCoe_injective.distribLattice _
(fun _ _ => rfl) fun _ _ => rfl with
le := fun x y => x.verts ⊆ y.verts ∧ ∀ ⦃v w : V⦄, x.Adj v w → y.Adj v w }
instance : BoundedOrder (Subgraph G) where
top := ⊤
bot := ⊥
le_top x := ⟨Set.subset_univ _, fun _ _ => x.adj_sub⟩
bot_le _ := ⟨Set.empty_subset _, fun _ _ => False.elim⟩
-- Note that subgraphs do not form a Boolean algebra, because of `verts`.
instance : CompletelyDistribLattice G.Subgraph :=
{ Subgraph.distribLattice with
le := (· ≤ ·)
sup := (· ⊔ ·)
inf := (· ⊓ ·)
top := ⊤
bot := ⊥
le_top := fun G' => ⟨Set.subset_univ _, fun a b => G'.adj_sub⟩
bot_le := fun G' => ⟨Set.empty_subset _, fun a b => False.elim⟩
sSup := sSup
-- Porting note: needed `apply` here to modify elaboration; previously the term itself was fine.
le_sSup := fun s G' hG' => ⟨by apply Set.subset_iUnion₂ G' hG', fun a b hab => ⟨G', hG', hab⟩⟩
sSup_le := fun s G' hG' =>
⟨Set.iUnion₂_subset fun H hH => (hG' _ hH).1, by
rintro a b ⟨H, hH, hab⟩
exact (hG' _ hH).2 hab⟩
sInf := sInf
sInf_le := fun s G' hG' => ⟨Set.iInter₂_subset G' hG', fun a b hab => hab.1 hG'⟩
le_sInf := fun s G' hG' =>
⟨Set.subset_iInter₂ fun H hH => (hG' _ hH).1, fun a b hab =>
⟨fun H hH => (hG' _ hH).2 hab, G'.adj_sub hab⟩⟩
iInf_iSup_eq := fun f => Subgraph.ext _ _ (by simpa using iInf_iSup_eq)
(by ext; simp [Classical.skolem]) }
@[simps]
instance subgraphInhabited : Inhabited (Subgraph G) := ⟨⊥⟩
#align simple_graph.subgraph.subgraph_inhabited SimpleGraph.Subgraph.subgraphInhabited
@[simp]
theorem neighborSet_sup {H H' : G.Subgraph} (v : V) :
(H ⊔ H').neighborSet v = H.neighborSet v ∪ H'.neighborSet v := rfl
#align simple_graph.subgraph.neighbor_set_sup SimpleGraph.Subgraph.neighborSet_sup
@[simp]
theorem neighborSet_inf {H H' : G.Subgraph} (v : V) :
(H ⊓ H').neighborSet v = H.neighborSet v ∩ H'.neighborSet v := rfl
#align simple_graph.subgraph.neighbor_set_inf SimpleGraph.Subgraph.neighborSet_inf
@[simp]
theorem neighborSet_top (v : V) : (⊤ : G.Subgraph).neighborSet v = G.neighborSet v := rfl
#align simple_graph.subgraph.neighbor_set_top SimpleGraph.Subgraph.neighborSet_top
@[simp]
theorem neighborSet_bot (v : V) : (⊥ : G.Subgraph).neighborSet v = ∅ := rfl
#align simple_graph.subgraph.neighbor_set_bot SimpleGraph.Subgraph.neighborSet_bot
@[simp]
theorem neighborSet_sSup (s : Set G.Subgraph) (v : V) :
(sSup s).neighborSet v = ⋃ G' ∈ s, neighborSet G' v := by
ext
simp
#align simple_graph.subgraph.neighbor_set_Sup SimpleGraph.Subgraph.neighborSet_sSup
@[simp]
theorem neighborSet_sInf (s : Set G.Subgraph) (v : V) :
(sInf s).neighborSet v = (⋂ G' ∈ s, neighborSet G' v) ∩ G.neighborSet v := by
ext
simp
#align simple_graph.subgraph.neighbor_set_Inf SimpleGraph.Subgraph.neighborSet_sInf
@[simp]
theorem neighborSet_iSup (f : ι → G.Subgraph) (v : V) :
(⨆ i, f i).neighborSet v = ⋃ i, (f i).neighborSet v := by simp [iSup]
#align simple_graph.subgraph.neighbor_set_supr SimpleGraph.Subgraph.neighborSet_iSup
@[simp]
theorem neighborSet_iInf (f : ι → G.Subgraph) (v : V) :
(⨅ i, f i).neighborSet v = (⋂ i, (f i).neighborSet v) ∩ G.neighborSet v := by simp [iInf]
#align simple_graph.subgraph.neighbor_set_infi SimpleGraph.Subgraph.neighborSet_iInf
@[simp]
theorem edgeSet_top : (⊤ : Subgraph G).edgeSet = G.edgeSet := rfl
#align simple_graph.subgraph.edge_set_top SimpleGraph.Subgraph.edgeSet_top
@[simp]
theorem edgeSet_bot : (⊥ : Subgraph G).edgeSet = ∅ :=
Set.ext <| Sym2.ind (by simp)
#align simple_graph.subgraph.edge_set_bot SimpleGraph.Subgraph.edgeSet_bot
@[simp]
theorem edgeSet_inf {H₁ H₂ : Subgraph G} : (H₁ ⊓ H₂).edgeSet = H₁.edgeSet ∩ H₂.edgeSet :=
Set.ext <| Sym2.ind (by simp)
#align simple_graph.subgraph.edge_set_inf SimpleGraph.Subgraph.edgeSet_inf
@[simp]
theorem edgeSet_sup {H₁ H₂ : Subgraph G} : (H₁ ⊔ H₂).edgeSet = H₁.edgeSet ∪ H₂.edgeSet :=
Set.ext <| Sym2.ind (by simp)
#align simple_graph.subgraph.edge_set_sup SimpleGraph.Subgraph.edgeSet_sup
@[simp]
theorem edgeSet_sSup (s : Set G.Subgraph) : (sSup s).edgeSet = ⋃ G' ∈ s, edgeSet G' := by
ext e
induction e using Sym2.ind
simp
#align simple_graph.subgraph.edge_set_Sup SimpleGraph.Subgraph.edgeSet_sSup
@[simp]
theorem edgeSet_sInf (s : Set G.Subgraph) :
(sInf s).edgeSet = (⋂ G' ∈ s, edgeSet G') ∩ G.edgeSet := by
ext e
induction e using Sym2.ind
simp
#align simple_graph.subgraph.edge_set_Inf SimpleGraph.Subgraph.edgeSet_sInf
@[simp]
theorem edgeSet_iSup (f : ι → G.Subgraph) :
(⨆ i, f i).edgeSet = ⋃ i, (f i).edgeSet := by simp [iSup]
#align simple_graph.subgraph.edge_set_supr SimpleGraph.Subgraph.edgeSet_iSup
@[simp]
theorem edgeSet_iInf (f : ι → G.Subgraph) :
(⨅ i, f i).edgeSet = (⋂ i, (f i).edgeSet) ∩ G.edgeSet := by
simp [iInf]
#align simple_graph.subgraph.edge_set_infi SimpleGraph.Subgraph.edgeSet_iInf
@[simp]
theorem spanningCoe_top : (⊤ : Subgraph G).spanningCoe = G := rfl
#align simple_graph.subgraph.spanning_coe_top SimpleGraph.Subgraph.spanningCoe_top
@[simp]
theorem spanningCoe_bot : (⊥ : Subgraph G).spanningCoe = ⊥ := rfl
#align simple_graph.subgraph.spanning_coe_bot SimpleGraph.Subgraph.spanningCoe_bot
/-- Turn a subgraph of a `SimpleGraph` into a member of its subgraph type. -/
@[simps]
def _root_.SimpleGraph.toSubgraph (H : SimpleGraph V) (h : H ≤ G) : G.Subgraph where
verts := Set.univ
Adj := H.Adj
adj_sub e := h e
edge_vert _ := Set.mem_univ _
symm := H.symm
#align simple_graph.to_subgraph SimpleGraph.toSubgraph
theorem support_mono {H H' : Subgraph G} (h : H ≤ H') : H.support ⊆ H'.support :=
Rel.dom_mono h.2
#align simple_graph.subgraph.support_mono SimpleGraph.Subgraph.support_mono
theorem _root_.SimpleGraph.toSubgraph.isSpanning (H : SimpleGraph V) (h : H ≤ G) :
(toSubgraph H h).IsSpanning :=
Set.mem_univ
#align simple_graph.to_subgraph.is_spanning SimpleGraph.toSubgraph.isSpanning
theorem spanningCoe_le_of_le {H H' : Subgraph G} (h : H ≤ H') : H.spanningCoe ≤ H'.spanningCoe :=
h.2
#align simple_graph.subgraph.spanning_coe_le_of_le SimpleGraph.Subgraph.spanningCoe_le_of_le
/-- The top of the `Subgraph G` lattice is equivalent to the graph itself. -/
def topEquiv : (⊤ : Subgraph G).coe ≃g G where
toFun v := ↑v
invFun v := ⟨v, trivial⟩
left_inv _ := rfl
right_inv _ := rfl
map_rel_iff' := Iff.rfl
#align simple_graph.subgraph.top_equiv SimpleGraph.Subgraph.topEquiv
/-- The bottom of the `Subgraph G` lattice is equivalent to the empty graph on the empty
vertex type. -/
def botEquiv : (⊥ : Subgraph G).coe ≃g (⊥ : SimpleGraph Empty) where
toFun v := v.property.elim
invFun v := v.elim
left_inv := fun ⟨_, h⟩ ↦ h.elim
right_inv v := v.elim
map_rel_iff' := Iff.rfl
#align simple_graph.subgraph.bot_equiv SimpleGraph.Subgraph.botEquiv
theorem edgeSet_mono {H₁ H₂ : Subgraph G} (h : H₁ ≤ H₂) : H₁.edgeSet ≤ H₂.edgeSet :=
Sym2.ind h.2
#align simple_graph.subgraph.edge_set_mono SimpleGraph.Subgraph.edgeSet_mono
theorem _root_.Disjoint.edgeSet {H₁ H₂ : Subgraph G} (h : Disjoint H₁ H₂) :
Disjoint H₁.edgeSet H₂.edgeSet :=
disjoint_iff_inf_le.mpr <| by simpa using edgeSet_mono h.le_bot
#align disjoint.edge_set Disjoint.edgeSet
/-- Graph homomorphisms induce a covariant function on subgraphs. -/
@[simps]
protected def map {G' : SimpleGraph W} (f : G →g G') (H : G.Subgraph) : G'.Subgraph where
verts := f '' H.verts
Adj := Relation.Map H.Adj f f
adj_sub := by
rintro _ _ ⟨u, v, h, rfl, rfl⟩
exact f.map_rel (H.adj_sub h)
edge_vert := by
rintro _ _ ⟨u, v, h, rfl, rfl⟩
exact Set.mem_image_of_mem _ (H.edge_vert h)
symm := by
rintro _ _ ⟨u, v, h, rfl, rfl⟩
exact ⟨v, u, H.symm h, rfl, rfl⟩
#align simple_graph.subgraph.map SimpleGraph.Subgraph.map
theorem map_monotone {G' : SimpleGraph W} (f : G →g G') : Monotone (Subgraph.map f) := by
intro H H' h
constructor
· intro
simp only [map_verts, Set.mem_image, forall_exists_index, and_imp]
rintro v hv rfl
exact ⟨_, h.1 hv, rfl⟩
· rintro _ _ ⟨u, v, ha, rfl, rfl⟩
exact ⟨_, _, h.2 ha, rfl, rfl⟩
#align simple_graph.subgraph.map_monotone SimpleGraph.Subgraph.map_monotone
theorem map_sup {G : SimpleGraph V} {G' : SimpleGraph W} (f : G →g G') {H H' : G.Subgraph} :
(H ⊔ H').map f = H.map f ⊔ H'.map f := by
ext1
· simp only [Set.image_union, map_verts, verts_sup]
· ext
simp only [Relation.Map, map_adj, sup_adj]
constructor
· rintro ⟨a, b, h | h, rfl, rfl⟩
· exact Or.inl ⟨_, _, h, rfl, rfl⟩
· exact Or.inr ⟨_, _, h, rfl, rfl⟩
· rintro (⟨a, b, h, rfl, rfl⟩ | ⟨a, b, h, rfl, rfl⟩)
· exact ⟨_, _, Or.inl h, rfl, rfl⟩
· exact ⟨_, _, Or.inr h, rfl, rfl⟩
#align simple_graph.subgraph.map_sup SimpleGraph.Subgraph.map_sup
/-- Graph homomorphisms induce a contravariant function on subgraphs. -/
@[simps]
protected def comap {G' : SimpleGraph W} (f : G →g G') (H : G'.Subgraph) : G.Subgraph where
verts := f ⁻¹' H.verts
Adj u v := G.Adj u v ∧ H.Adj (f u) (f v)
adj_sub h := h.1
edge_vert h := Set.mem_preimage.1 (H.edge_vert h.2)
symm _ _ h := ⟨G.symm h.1, H.symm h.2⟩
#align simple_graph.subgraph.comap SimpleGraph.Subgraph.comap
theorem comap_monotone {G' : SimpleGraph W} (f : G →g G') : Monotone (Subgraph.comap f) := by
intro H H' h
constructor
· intro
simp only [comap_verts, Set.mem_preimage]
apply h.1
· intro v w
simp (config := { contextual := true }) only [comap_adj, and_imp, true_and_iff]
intro
apply h.2
#align simple_graph.subgraph.comap_monotone SimpleGraph.Subgraph.comap_monotone
theorem map_le_iff_le_comap {G' : SimpleGraph W} (f : G →g G') (H : G.Subgraph) (H' : G'.Subgraph) :
H.map f ≤ H' ↔ H ≤ H'.comap f := by
refine ⟨fun h ↦ ⟨fun v hv ↦ ?_, fun v w hvw ↦ ?_⟩, fun h ↦ ⟨fun v ↦ ?_, fun v w ↦ ?_⟩⟩
· simp only [comap_verts, Set.mem_preimage]
exact h.1 ⟨v, hv, rfl⟩
· simp only [H.adj_sub hvw, comap_adj, true_and_iff]
exact h.2 ⟨v, w, hvw, rfl, rfl⟩
· simp only [map_verts, Set.mem_image, forall_exists_index, and_imp]
rintro w hw rfl
exact h.1 hw
· simp only [Relation.Map, map_adj, forall_exists_index, and_imp]
rintro u u' hu rfl rfl
exact (h.2 hu).2
#align simple_graph.subgraph.map_le_iff_le_comap SimpleGraph.Subgraph.map_le_iff_le_comap
/-- Given two subgraphs, one a subgraph of the other, there is an induced injective homomorphism of
the subgraphs as graphs. -/
@[simps]
def inclusion {x y : Subgraph G} (h : x ≤ y) : x.coe →g y.coe where
toFun v := ⟨↑v, And.left h v.property⟩
map_rel' hvw := h.2 hvw
#align simple_graph.subgraph.inclusion SimpleGraph.Subgraph.inclusion
theorem inclusion.injective {x y : Subgraph G} (h : x ≤ y) : Function.Injective (inclusion h) := by
intro v w h
rw [inclusion, DFunLike.coe, Subtype.mk_eq_mk] at h
exact Subtype.ext h
#align simple_graph.subgraph.inclusion.injective SimpleGraph.Subgraph.inclusion.injective
/-- There is an induced injective homomorphism of a subgraph of `G` into `G`. -/
@[simps]
protected def hom (x : Subgraph G) : x.coe →g G where
toFun v := v
map_rel' := x.adj_sub
#align simple_graph.subgraph.hom SimpleGraph.Subgraph.hom
@[simp] lemma coe_hom (x : Subgraph G) :
(x.hom : x.verts → V) = (fun (v : x.verts) => (v : V)) := rfl
theorem hom.injective {x : Subgraph G} : Function.Injective x.hom :=
fun _ _ ↦ Subtype.ext
#align simple_graph.subgraph.hom.injective SimpleGraph.Subgraph.hom.injective
/-- There is an induced injective homomorphism of a subgraph of `G` as
a spanning subgraph into `G`. -/
@[simps]
def spanningHom (x : Subgraph G) : x.spanningCoe →g G where
toFun := id
map_rel' := x.adj_sub
#align simple_graph.subgraph.spanning_hom SimpleGraph.Subgraph.spanningHom
theorem spanningHom.injective {x : Subgraph G} : Function.Injective x.spanningHom :=
fun _ _ ↦ id
#align simple_graph.subgraph.spanning_hom.injective SimpleGraph.Subgraph.spanningHom.injective
theorem neighborSet_subset_of_subgraph {x y : Subgraph G} (h : x ≤ y) (v : V) :
x.neighborSet v ⊆ y.neighborSet v :=
fun _ h' ↦ h.2 h'
#align simple_graph.subgraph.neighbor_set_subset_of_subgraph SimpleGraph.Subgraph.neighborSet_subset_of_subgraph
instance neighborSet.decidablePred (G' : Subgraph G) [h : DecidableRel G'.Adj] (v : V) :
DecidablePred (· ∈ G'.neighborSet v) :=
h v
#align simple_graph.subgraph.neighbor_set.decidable_pred SimpleGraph.Subgraph.neighborSet.decidablePred
/-- If a graph is locally finite at a vertex, then so is a subgraph of that graph. -/
instance finiteAt {G' : Subgraph G} (v : G'.verts) [DecidableRel G'.Adj]
[Fintype (G.neighborSet v)] : Fintype (G'.neighborSet v) :=
Set.fintypeSubset (G.neighborSet v) (G'.neighborSet_subset v)
#align simple_graph.subgraph.finite_at SimpleGraph.Subgraph.finiteAt
/-- If a subgraph is locally finite at a vertex, then so are subgraphs of that subgraph.
This is not an instance because `G''` cannot be inferred. -/
def finiteAtOfSubgraph {G' G'' : Subgraph G} [DecidableRel G'.Adj] (h : G' ≤ G'') (v : G'.verts)
[Fintype (G''.neighborSet v)] : Fintype (G'.neighborSet v) :=
Set.fintypeSubset (G''.neighborSet v) (neighborSet_subset_of_subgraph h v)
#align simple_graph.subgraph.finite_at_of_subgraph SimpleGraph.Subgraph.finiteAtOfSubgraph
instance (G' : Subgraph G) [Fintype G'.verts] (v : V) [DecidablePred (· ∈ G'.neighborSet v)] :
Fintype (G'.neighborSet v) :=
Set.fintypeSubset G'.verts (neighborSet_subset_verts G' v)
instance coeFiniteAt {G' : Subgraph G} (v : G'.verts) [Fintype (G'.neighborSet v)] :
Fintype (G'.coe.neighborSet v) :=
Fintype.ofEquiv _ (coeNeighborSetEquiv v).symm
#align simple_graph.subgraph.coe_finite_at SimpleGraph.Subgraph.coeFiniteAt
theorem IsSpanning.card_verts [Fintype V] {G' : Subgraph G} [Fintype G'.verts] (h : G'.IsSpanning) :
G'.verts.toFinset.card = Fintype.card V := by
simp only [isSpanning_iff.1 h, Set.toFinset_univ]
congr
#align simple_graph.subgraph.is_spanning.card_verts SimpleGraph.Subgraph.IsSpanning.card_verts
/-- The degree of a vertex in a subgraph. It's zero for vertices outside the subgraph. -/
def degree (G' : Subgraph G) (v : V) [Fintype (G'.neighborSet v)] : ℕ :=
Fintype.card (G'.neighborSet v)
#align simple_graph.subgraph.degree SimpleGraph.Subgraph.degree
theorem finset_card_neighborSet_eq_degree {G' : Subgraph G} {v : V} [Fintype (G'.neighborSet v)] :
(G'.neighborSet v).toFinset.card = G'.degree v := by
rw [degree, Set.toFinset_card]
#align simple_graph.subgraph.finset_card_neighbor_set_eq_degree SimpleGraph.Subgraph.finset_card_neighborSet_eq_degree
theorem degree_le (G' : Subgraph G) (v : V) [Fintype (G'.neighborSet v)]
[Fintype (G.neighborSet v)] : G'.degree v ≤ G.degree v := by
rw [← card_neighborSet_eq_degree]
exact Set.card_le_card (G'.neighborSet_subset v)
#align simple_graph.subgraph.degree_le SimpleGraph.Subgraph.degree_le
theorem degree_le' (G' G'' : Subgraph G) (h : G' ≤ G'') (v : V) [Fintype (G'.neighborSet v)]
[Fintype (G''.neighborSet v)] : G'.degree v ≤ G''.degree v :=
Set.card_le_card (neighborSet_subset_of_subgraph h v)
#align simple_graph.subgraph.degree_le' SimpleGraph.Subgraph.degree_le'
@[simp]
theorem coe_degree (G' : Subgraph G) (v : G'.verts) [Fintype (G'.coe.neighborSet v)]
[Fintype (G'.neighborSet v)] : G'.coe.degree v = G'.degree v := by
rw [← card_neighborSet_eq_degree]
exact Fintype.card_congr (coeNeighborSetEquiv v)
#align simple_graph.subgraph.coe_degree SimpleGraph.Subgraph.coe_degree
@[simp]
theorem degree_spanningCoe {G' : G.Subgraph} (v : V) [Fintype (G'.neighborSet v)]
[Fintype (G'.spanningCoe.neighborSet v)] : G'.spanningCoe.degree v = G'.degree v := by
rw [← card_neighborSet_eq_degree, Subgraph.degree]
congr!
#align simple_graph.subgraph.degree_spanning_coe SimpleGraph.Subgraph.degree_spanningCoe
theorem degree_eq_one_iff_unique_adj {G' : Subgraph G} {v : V} [Fintype (G'.neighborSet v)] :
G'.degree v = 1 ↔ ∃! w : V, G'.Adj v w := by
rw [← finset_card_neighborSet_eq_degree, Finset.card_eq_one, Finset.singleton_iff_unique_mem]
simp only [Set.mem_toFinset, mem_neighborSet]
#align simple_graph.subgraph.degree_eq_one_iff_unique_adj SimpleGraph.Subgraph.degree_eq_one_iff_unique_adj
end Subgraph
section MkProperties
/-! ### Properties of `singletonSubgraph` and `subgraphOfAdj` -/
variable {G : SimpleGraph V} {G' : SimpleGraph W}
instance nonempty_singletonSubgraph_verts (v : V) : Nonempty (G.singletonSubgraph v).verts :=
⟨⟨v, Set.mem_singleton v⟩⟩
#align simple_graph.nonempty_singleton_subgraph_verts SimpleGraph.nonempty_singletonSubgraph_verts
@[simp]
theorem singletonSubgraph_le_iff (v : V) (H : G.Subgraph) :
G.singletonSubgraph v ≤ H ↔ v ∈ H.verts := by
refine ⟨fun h ↦ h.1 (Set.mem_singleton v), ?_⟩
intro h
constructor
· rwa [singletonSubgraph_verts, Set.singleton_subset_iff]
· exact fun _ _ ↦ False.elim
#align simple_graph.singleton_subgraph_le_iff SimpleGraph.singletonSubgraph_le_iff
@[simp]
theorem map_singletonSubgraph (f : G →g G') {v : V} :
Subgraph.map f (G.singletonSubgraph v) = G'.singletonSubgraph (f v) := by
ext <;> simp only [Relation.Map, Subgraph.map_adj, singletonSubgraph_adj, Pi.bot_apply,
exists_and_left, and_iff_left_iff_imp, IsEmpty.forall_iff, Subgraph.map_verts,
singletonSubgraph_verts, Set.image_singleton]
exact False.elim
#align simple_graph.map_singleton_subgraph SimpleGraph.map_singletonSubgraph
@[simp]
theorem neighborSet_singletonSubgraph (v w : V) : (G.singletonSubgraph v).neighborSet w = ∅ :=
rfl
#align simple_graph.neighbor_set_singleton_subgraph SimpleGraph.neighborSet_singletonSubgraph
@[simp]
theorem edgeSet_singletonSubgraph (v : V) : (G.singletonSubgraph v).edgeSet = ∅ :=
Sym2.fromRel_bot
#align simple_graph.edge_set_singleton_subgraph SimpleGraph.edgeSet_singletonSubgraph
theorem eq_singletonSubgraph_iff_verts_eq (H : G.Subgraph) {v : V} :
H = G.singletonSubgraph v ↔ H.verts = {v} := by
refine ⟨fun h ↦ by rw [h, singletonSubgraph_verts], fun h ↦ ?_⟩
ext
· rw [h, singletonSubgraph_verts]
· simp only [Prop.bot_eq_false, singletonSubgraph_adj, Pi.bot_apply, iff_false_iff]
intro ha
have ha1 := ha.fst_mem
have ha2 := ha.snd_mem
rw [h, Set.mem_singleton_iff] at ha1 ha2
subst_vars
exact ha.ne rfl
#align simple_graph.eq_singleton_subgraph_iff_verts_eq SimpleGraph.eq_singletonSubgraph_iff_verts_eq
instance nonempty_subgraphOfAdj_verts {v w : V} (hvw : G.Adj v w) :
Nonempty (G.subgraphOfAdj hvw).verts :=
⟨⟨v, by simp⟩⟩
#align simple_graph.nonempty_subgraph_of_adj_verts SimpleGraph.nonempty_subgraphOfAdj_verts
@[simp]
theorem edgeSet_subgraphOfAdj {v w : V} (hvw : G.Adj v w) :
(G.subgraphOfAdj hvw).edgeSet = {s(v, w)} := by
ext e
refine e.ind ?_
simp only [eq_comm, Set.mem_singleton_iff, Subgraph.mem_edgeSet, subgraphOfAdj_adj, iff_self_iff,
forall₂_true_iff]
#align simple_graph.edge_set_subgraph_of_adj SimpleGraph.edgeSet_subgraphOfAdj
lemma subgraphOfAdj_le_of_adj {v w : V} (H : G.Subgraph) (h : H.Adj v w) :
G.subgraphOfAdj (H.adj_sub h) ≤ H := by
constructor
· intro x
rintro (rfl | rfl) <;> simp [H.edge_vert h, H.edge_vert h.symm]
· simp only [subgraphOfAdj_adj, Sym2.eq, Sym2.rel_iff]
rintro _ _ (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩) <;> simp [h, h.symm]
theorem subgraphOfAdj_symm {v w : V} (hvw : G.Adj v w) :
G.subgraphOfAdj hvw.symm = G.subgraphOfAdj hvw := by
ext <;> simp [or_comm, and_comm]
#align simple_graph.subgraph_of_adj_symm SimpleGraph.subgraphOfAdj_symm
@[simp]
theorem map_subgraphOfAdj (f : G →g G') {v w : V} (hvw : G.Adj v w) :
Subgraph.map f (G.subgraphOfAdj hvw) = G'.subgraphOfAdj (f.map_adj hvw) := by
ext
· simp only [Subgraph.map_verts, subgraphOfAdj_verts, Set.mem_image, Set.mem_insert_iff,
Set.mem_singleton_iff]
constructor
· rintro ⟨u, rfl | rfl, rfl⟩ <;> simp
· rintro (rfl | rfl)
· use v
simp
· use w
simp
· simp only [Relation.Map, Subgraph.map_adj, subgraphOfAdj_adj, Sym2.eq, Sym2.rel_iff]
constructor
· rintro ⟨a, b, ⟨rfl, rfl⟩ | ⟨rfl, rfl⟩, rfl, rfl⟩ <;> simp
· rintro (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩)
· use v, w
simp
· use w, v
simp
#align simple_graph.map_subgraph_of_adj SimpleGraph.map_subgraphOfAdj
theorem neighborSet_subgraphOfAdj_subset {u v w : V} (hvw : G.Adj v w) :
(G.subgraphOfAdj hvw).neighborSet u ⊆ {v, w} :=
(G.subgraphOfAdj hvw).neighborSet_subset_verts _
#align simple_graph.neighbor_set_subgraph_of_adj_subset SimpleGraph.neighborSet_subgraphOfAdj_subset
@[simp]
theorem neighborSet_fst_subgraphOfAdj {v w : V} (hvw : G.Adj v w) :
(G.subgraphOfAdj hvw).neighborSet v = {w} := by
ext u
suffices w = u ↔ u = w by simpa [hvw.ne.symm] using this
rw [eq_comm]
#align simple_graph.neighbor_set_fst_subgraph_of_adj SimpleGraph.neighborSet_fst_subgraphOfAdj
@[simp]
theorem neighborSet_snd_subgraphOfAdj {v w : V} (hvw : G.Adj v w) :
(G.subgraphOfAdj hvw).neighborSet w = {v} := by
rw [subgraphOfAdj_symm hvw.symm]
exact neighborSet_fst_subgraphOfAdj hvw.symm
#align simple_graph.neighbor_set_snd_subgraph_of_adj SimpleGraph.neighborSet_snd_subgraphOfAdj
@[simp]
theorem neighborSet_subgraphOfAdj_of_ne_of_ne {u v w : V} (hvw : G.Adj v w) (hv : u ≠ v)
(hw : u ≠ w) : (G.subgraphOfAdj hvw).neighborSet u = ∅ := by
ext
simp [hv.symm, hw.symm]
#align simple_graph.neighbor_set_subgraph_of_adj_of_ne_of_ne SimpleGraph.neighborSet_subgraphOfAdj_of_ne_of_ne
theorem neighborSet_subgraphOfAdj [DecidableEq V] {u v w : V} (hvw : G.Adj v w) :
(G.subgraphOfAdj hvw).neighborSet u =
(if u = v then {w} else ∅) ∪ if u = w then {v} else ∅ := by
split_ifs <;> subst_vars <;> simp [*, Set.singleton_def]
#align simple_graph.neighbor_set_subgraph_of_adj SimpleGraph.neighborSet_subgraphOfAdj
theorem singletonSubgraph_fst_le_subgraphOfAdj {u v : V} {h : G.Adj u v} :
G.singletonSubgraph u ≤ G.subgraphOfAdj h := by
simp
#align simple_graph.singleton_subgraph_fst_le_subgraph_of_adj SimpleGraph.singletonSubgraph_fst_le_subgraphOfAdj
theorem singletonSubgraph_snd_le_subgraphOfAdj {u v : V} {h : G.Adj u v} :
G.singletonSubgraph v ≤ G.subgraphOfAdj h := by
simp
#align simple_graph.singleton_subgraph_snd_le_subgraph_of_adj SimpleGraph.singletonSubgraph_snd_le_subgraphOfAdj
end MkProperties
namespace Subgraph
variable {G : SimpleGraph V}
/-! ### Subgraphs of subgraphs -/
/-- Given a subgraph of a subgraph of `G`, construct a subgraph of `G`. -/
protected abbrev coeSubgraph {G' : G.Subgraph} : G'.coe.Subgraph → G.Subgraph :=
Subgraph.map G'.hom
#align simple_graph.subgraph.coe_subgraph SimpleGraph.Subgraph.coeSubgraph
/-- Given a subgraph of `G`, restrict it to being a subgraph of another subgraph `G'` by
taking the portion of `G` that intersects `G'`. -/
protected abbrev restrict {G' : G.Subgraph} : G.Subgraph → G'.coe.Subgraph :=
Subgraph.comap G'.hom
#align simple_graph.subgraph.restrict SimpleGraph.Subgraph.restrict
lemma coeSubgraph_adj {G' : G.Subgraph} (G'' : G'.coe.Subgraph) (v w : V) :
(G'.coeSubgraph G'').Adj v w ↔
∃ (hv : v ∈ G'.verts) (hw : w ∈ G'.verts), G''.Adj ⟨v, hv⟩ ⟨w, hw⟩ := by
simp [Relation.Map]
lemma restrict_adj {G' G'' : G.Subgraph} (v w : G'.verts) :
(G'.restrict G'').Adj v w ↔ G'.Adj v w ∧ G''.Adj v w := Iff.rfl
theorem restrict_coeSubgraph {G' : G.Subgraph} (G'' : G'.coe.Subgraph) :
Subgraph.restrict (Subgraph.coeSubgraph G'') = G'' := by
ext
· simp
· rw [restrict_adj, coeSubgraph_adj]
simpa using G''.adj_sub
#align simple_graph.subgraph.restrict_coe_subgraph SimpleGraph.Subgraph.restrict_coeSubgraph
theorem coeSubgraph_injective (G' : G.Subgraph) :
Function.Injective (Subgraph.coeSubgraph : G'.coe.Subgraph → G.Subgraph) :=
Function.LeftInverse.injective restrict_coeSubgraph
#align simple_graph.subgraph.coe_subgraph_injective SimpleGraph.Subgraph.coeSubgraph_injective
lemma coeSubgraph_le {H : G.Subgraph} (H' : H.coe.Subgraph) :
Subgraph.coeSubgraph H' ≤ H := by
constructor
· simp
· rintro v w ⟨_, _, h, rfl, rfl⟩
exact H'.adj_sub h
lemma coeSubgraph_restrict_eq {H : G.Subgraph} (H' : G.Subgraph) :
Subgraph.coeSubgraph (H.restrict H') = H ⊓ H' := by
ext
· simp [and_comm]
· simp_rw [coeSubgraph_adj, restrict_adj]
simp only [exists_and_left, exists_prop, ge_iff_le, inf_adj, and_congr_right_iff]
intro h
simp [H.edge_vert h, H.edge_vert h.symm]
/-! ### Edge deletion -/
/-- Given a subgraph `G'` and a set of vertex pairs, remove all of the corresponding edges
from its edge set, if present.
See also: `SimpleGraph.deleteEdges`. -/
def deleteEdges (G' : G.Subgraph) (s : Set (Sym2 V)) : G.Subgraph where
verts := G'.verts
Adj := G'.Adj \ Sym2.ToRel s
adj_sub h' := G'.adj_sub h'.1
edge_vert h' := G'.edge_vert h'.1
symm a b := by simp [G'.adj_comm, Sym2.eq_swap]
#align simple_graph.subgraph.delete_edges SimpleGraph.Subgraph.deleteEdges
section DeleteEdges
variable {G' : G.Subgraph} (s : Set (Sym2 V))
@[simp]
theorem deleteEdges_verts : (G'.deleteEdges s).verts = G'.verts :=
rfl
#align simple_graph.subgraph.delete_edges_verts SimpleGraph.Subgraph.deleteEdges_verts
@[simp]
theorem deleteEdges_adj (v w : V) : (G'.deleteEdges s).Adj v w ↔ G'.Adj v w ∧ ¬s(v, w) ∈ s :=
Iff.rfl
#align simple_graph.subgraph.delete_edges_adj SimpleGraph.Subgraph.deleteEdges_adj
@[simp]
theorem deleteEdges_deleteEdges (s s' : Set (Sym2 V)) :
(G'.deleteEdges s).deleteEdges s' = G'.deleteEdges (s ∪ s') := by
ext <;> simp [and_assoc, not_or]
#align simple_graph.subgraph.delete_edges_delete_edges SimpleGraph.Subgraph.deleteEdges_deleteEdges
@[simp]
theorem deleteEdges_empty_eq : G'.deleteEdges ∅ = G' := by
ext <;> simp
#align simple_graph.subgraph.delete_edges_empty_eq SimpleGraph.Subgraph.deleteEdges_empty_eq
@[simp]
theorem deleteEdges_spanningCoe_eq :
G'.spanningCoe.deleteEdges s = (G'.deleteEdges s).spanningCoe := by
ext
simp
#align simple_graph.subgraph.delete_edges_spanning_coe_eq SimpleGraph.Subgraph.deleteEdges_spanningCoe_eq
theorem deleteEdges_coe_eq (s : Set (Sym2 G'.verts)) :
G'.coe.deleteEdges s = (G'.deleteEdges (Sym2.map (↑) '' s)).coe := by
ext ⟨v, hv⟩ ⟨w, hw⟩
simp only [SimpleGraph.deleteEdges_adj, coe_adj, deleteEdges_adj, Set.mem_image, not_exists,
not_and, and_congr_right_iff]
intro
constructor
· intro hs
refine Sym2.ind ?_
rintro ⟨v', hv'⟩ ⟨w', hw'⟩
simp only [Sym2.map_pair_eq, Sym2.eq]
contrapose!
rintro (_ | _) <;> simpa only [Sym2.eq_swap]
· intro h' hs
exact h' _ hs rfl
#align simple_graph.subgraph.delete_edges_coe_eq SimpleGraph.Subgraph.deleteEdges_coe_eq
theorem coe_deleteEdges_eq (s : Set (Sym2 V)) :
(G'.deleteEdges s).coe = G'.coe.deleteEdges (Sym2.map (↑) ⁻¹' s) := by
ext ⟨v, hv⟩ ⟨w, hw⟩
simp
#align simple_graph.subgraph.coe_delete_edges_eq SimpleGraph.Subgraph.coe_deleteEdges_eq
theorem deleteEdges_le : G'.deleteEdges s ≤ G' := by
constructor <;> simp (config := { contextual := true }) [subset_rfl]
#align simple_graph.subgraph.delete_edges_le SimpleGraph.Subgraph.deleteEdges_le
theorem deleteEdges_le_of_le {s s' : Set (Sym2 V)} (h : s ⊆ s') :
G'.deleteEdges s' ≤ G'.deleteEdges s := by
constructor <;> simp (config := { contextual := true }) only [deleteEdges_verts, deleteEdges_adj,
true_and_iff, and_imp, subset_rfl]
exact fun _ _ _ hs' hs ↦ hs' (h hs)
#align simple_graph.subgraph.delete_edges_le_of_le SimpleGraph.Subgraph.deleteEdges_le_of_le
@[simp]
theorem deleteEdges_inter_edgeSet_left_eq :
G'.deleteEdges (G'.edgeSet ∩ s) = G'.deleteEdges s := by
ext <;> simp (config := { contextual := true }) [imp_false]
#align simple_graph.subgraph.delete_edges_inter_edge_set_left_eq SimpleGraph.Subgraph.deleteEdges_inter_edgeSet_left_eq
@[simp]
theorem deleteEdges_inter_edgeSet_right_eq :
G'.deleteEdges (s ∩ G'.edgeSet) = G'.deleteEdges s := by
ext <;> simp (config := { contextual := true }) [imp_false]
#align simple_graph.subgraph.delete_edges_inter_edge_set_right_eq SimpleGraph.Subgraph.deleteEdges_inter_edgeSet_right_eq
theorem coe_deleteEdges_le : (G'.deleteEdges s).coe ≤ (G'.coe : SimpleGraph G'.verts) := by
intro v w
simp (config := { contextual := true })
#align simple_graph.subgraph.coe_delete_edges_le SimpleGraph.Subgraph.coe_deleteEdges_le
theorem spanningCoe_deleteEdges_le (G' : G.Subgraph) (s : Set (Sym2 V)) :
(G'.deleteEdges s).spanningCoe ≤ G'.spanningCoe :=
spanningCoe_le_of_le (deleteEdges_le s)
#align simple_graph.subgraph.spanning_coe_delete_edges_le SimpleGraph.Subgraph.spanningCoe_deleteEdges_le
end DeleteEdges
/-! ### Induced subgraphs -/
/- Given a subgraph, we can change its vertex set while removing any invalid edges, which
gives induced subgraphs. See also `SimpleGraph.induce` for the `SimpleGraph` version, which,
unlike for subgraphs, results in a graph with a different vertex type. -/
/-- The induced subgraph of a subgraph. The expectation is that `s ⊆ G'.verts` for the usual
notion of an induced subgraph, but, in general, `s` is taken to be the new vertex set and edges
are induced from the subgraph `G'`. -/
@[simps]
def induce (G' : G.Subgraph) (s : Set V) : G.Subgraph where
verts := s
Adj u v := u ∈ s ∧ v ∈ s ∧ G'.Adj u v
adj_sub h := G'.adj_sub h.2.2
edge_vert h := h.1
symm _ _ h := ⟨h.2.1, h.1, G'.symm h.2.2⟩
#align simple_graph.subgraph.induce SimpleGraph.Subgraph.induce
theorem _root_.SimpleGraph.induce_eq_coe_induce_top (s : Set V) :
G.induce s = ((⊤ : G.Subgraph).induce s).coe := by
ext
simp
#align simple_graph.induce_eq_coe_induce_top SimpleGraph.induce_eq_coe_induce_top
section Induce
variable {G' G'' : G.Subgraph} {s s' : Set V}
theorem induce_mono (hg : G' ≤ G'') (hs : s ⊆ s') : G'.induce s ≤ G''.induce s' := by
constructor
· simp [hs]
· simp (config := { contextual := true }) only [induce_adj, true_and_iff, and_imp]
intro v w hv hw ha
exact ⟨hs hv, hs hw, hg.2 ha⟩
#align simple_graph.subgraph.induce_mono SimpleGraph.Subgraph.induce_mono
@[mono]
theorem induce_mono_left (hg : G' ≤ G'') : G'.induce s ≤ G''.induce s :=
induce_mono hg subset_rfl
#align simple_graph.subgraph.induce_mono_left SimpleGraph.Subgraph.induce_mono_left
@[mono]
theorem induce_mono_right (hs : s ⊆ s') : G'.induce s ≤ G'.induce s' :=
induce_mono le_rfl hs
#align simple_graph.subgraph.induce_mono_right SimpleGraph.Subgraph.induce_mono_right
@[simp]
| Mathlib/Combinatorics/SimpleGraph/Subgraph.lean | 1,191 | 1,192 | theorem induce_empty : G'.induce ∅ = ⊥ := by |
ext <;> simp
|
/-
Copyright (c) 2022 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta, Yaël Dillies
-/
import Mathlib.Analysis.Convex.Cone.Extension
import Mathlib.Analysis.Convex.Gauge
import Mathlib.Topology.Algebra.Module.FiniteDimension
import Mathlib.Topology.Algebra.Module.LocallyConvex
#align_import analysis.normed_space.hahn_banach.separation from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4"
/-!
# Separation Hahn-Banach theorem
In this file we prove the geometric Hahn-Banach theorem. For any two disjoint convex sets, there
exists a continuous linear functional separating them, geometrically meaning that we can intercalate
a plane between them.
We provide many variations to stricten the result under more assumptions on the convex sets:
* `geometric_hahn_banach_open`: One set is open. Weak separation.
* `geometric_hahn_banach_open_point`, `geometric_hahn_banach_point_open`: One set is open, the
other is a singleton. Weak separation.
* `geometric_hahn_banach_open_open`: Both sets are open. Semistrict separation.
* `geometric_hahn_banach_compact_closed`, `geometric_hahn_banach_closed_compact`: One set is closed,
the other one is compact. Strict separation.
* `geometric_hahn_banach_point_closed`, `geometric_hahn_banach_closed_point`: One set is closed, the
other one is a singleton. Strict separation.
* `geometric_hahn_banach_point_point`: Both sets are singletons. Strict separation.
## TODO
* Eidelheit's theorem
* `Convex ℝ s → interior (closure s) ⊆ s`
-/
open Set
open Pointwise
variable {𝕜 E : Type*}
/-- Given a set `s` which is a convex neighbourhood of `0` and a point `x₀` outside of it, there is
a continuous linear functional `f` separating `x₀` and `s`, in the sense that it sends `x₀` to 1 and
all of `s` to values strictly below `1`. -/
theorem separate_convex_open_set [TopologicalSpace E] [AddCommGroup E] [TopologicalAddGroup E]
[Module ℝ E] [ContinuousSMul ℝ E] {s : Set E} (hs₀ : (0 : E) ∈ s) (hs₁ : Convex ℝ s)
(hs₂ : IsOpen s) {x₀ : E} (hx₀ : x₀ ∉ s) : ∃ f : E →L[ℝ] ℝ, f x₀ = 1 ∧ ∀ x ∈ s, f x < 1 := by
let f : E →ₗ.[ℝ] ℝ := LinearPMap.mkSpanSingleton x₀ 1 (ne_of_mem_of_not_mem hs₀ hx₀).symm
have := exists_extension_of_le_sublinear f (gauge s) (fun c hc => gauge_smul_of_nonneg hc.le)
(gauge_add_le hs₁ <| absorbent_nhds_zero <| hs₂.mem_nhds hs₀) ?_
· obtain ⟨φ, hφ₁, hφ₂⟩ := this
have hφ₃ : φ x₀ = 1 := by
rw [← f.domain.coe_mk x₀ (Submodule.mem_span_singleton_self _), hφ₁,
LinearPMap.mkSpanSingleton'_apply_self]
have hφ₄ : ∀ x ∈ s, φ x < 1 := fun x hx =>
(hφ₂ x).trans_lt (gauge_lt_one_of_mem_of_isOpen hs₂ hx)
refine ⟨⟨φ, ?_⟩, hφ₃, hφ₄⟩
refine
φ.continuous_of_nonzero_on_open _ (hs₂.vadd (-x₀)) (Nonempty.vadd_set ⟨0, hs₀⟩)
(vadd_set_subset_iff.mpr fun x hx => ?_)
change φ (-x₀ + x) ≠ 0
rw [map_add, map_neg]
specialize hφ₄ x hx
linarith
rintro ⟨x, hx⟩
obtain ⟨y, rfl⟩ := Submodule.mem_span_singleton.1 hx
rw [LinearPMap.mkSpanSingleton'_apply]
simp only [mul_one, Algebra.id.smul_eq_mul, Submodule.coe_mk]
obtain h | h := le_or_lt y 0
· exact h.trans (gauge_nonneg _)
· rw [gauge_smul_of_nonneg h.le, smul_eq_mul, le_mul_iff_one_le_right h]
exact
one_le_gauge_of_not_mem (hs₁.starConvex hs₀)
(absorbent_nhds_zero <| hs₂.mem_nhds hs₀).absorbs hx₀
#align separate_convex_open_set separate_convex_open_set
variable [TopologicalSpace E] [AddCommGroup E] [TopologicalAddGroup E] [Module ℝ E]
[ContinuousSMul ℝ E] {s t : Set E} {x y : E}
/-- A version of the **Hahn-Banach theorem**: given disjoint convex sets `s`, `t` where `s` is open,
there is a continuous linear functional which separates them. -/
theorem geometric_hahn_banach_open (hs₁ : Convex ℝ s) (hs₂ : IsOpen s) (ht : Convex ℝ t)
(disj : Disjoint s t) : ∃ (f : E →L[ℝ] ℝ) (u : ℝ), (∀ a ∈ s, f a < u) ∧ ∀ b ∈ t, u ≤ f b := by
obtain rfl | ⟨a₀, ha₀⟩ := s.eq_empty_or_nonempty
· exact ⟨0, 0, by simp, fun b _hb => le_rfl⟩
obtain rfl | ⟨b₀, hb₀⟩ := t.eq_empty_or_nonempty
· exact ⟨0, 1, fun a _ha => zero_lt_one, by simp⟩
let x₀ := b₀ - a₀
let C := x₀ +ᵥ (s - t)
have : (0 : E) ∈ C :=
⟨a₀ - b₀, sub_mem_sub ha₀ hb₀, by simp_rw [x₀, vadd_eq_add, sub_add_sub_cancel', sub_self]⟩
have : Convex ℝ C := (hs₁.sub ht).vadd _
have : x₀ ∉ C := by
intro hx₀
rw [← add_zero x₀] at hx₀
exact disj.zero_not_mem_sub_set (vadd_mem_vadd_set_iff.1 hx₀)
obtain ⟨f, hf₁, hf₂⟩ := separate_convex_open_set ‹0 ∈ C› ‹_› (hs₂.sub_right.vadd _) ‹x₀ ∉ C›
have : f b₀ = f a₀ + 1 := by simp [x₀, ← hf₁]
have forall_le : ∀ a ∈ s, ∀ b ∈ t, f a ≤ f b := by
intro a ha b hb
have := hf₂ (x₀ + (a - b)) (vadd_mem_vadd_set <| sub_mem_sub ha hb)
simp only [f.map_add, f.map_sub, hf₁] at this
linarith
refine ⟨f, sInf (f '' t), image_subset_iff.1 (?_ : f '' s ⊆ Iio (sInf (f '' t))), fun b hb => ?_⟩
· rw [← interior_Iic]
refine interior_maximal (image_subset_iff.2 fun a ha => ?_) (f.isOpenMap_of_ne_zero ?_ _ hs₂)
· exact le_csInf (Nonempty.image _ ⟨_, hb₀⟩) (forall_mem_image.2 <| forall_le _ ha)
· rintro rfl
simp at hf₁
· exact csInf_le ⟨f a₀, forall_mem_image.2 <| forall_le _ ha₀⟩ (mem_image_of_mem _ hb)
#align geometric_hahn_banach_open geometric_hahn_banach_open
theorem geometric_hahn_banach_open_point (hs₁ : Convex ℝ s) (hs₂ : IsOpen s) (disj : x ∉ s) :
∃ f : E →L[ℝ] ℝ, ∀ a ∈ s, f a < f x :=
let ⟨f, _s, hs, hx⟩ :=
geometric_hahn_banach_open hs₁ hs₂ (convex_singleton x) (disjoint_singleton_right.2 disj)
⟨f, fun a ha => lt_of_lt_of_le (hs a ha) (hx x (mem_singleton _))⟩
#align geometric_hahn_banach_open_point geometric_hahn_banach_open_point
theorem geometric_hahn_banach_point_open (ht₁ : Convex ℝ t) (ht₂ : IsOpen t) (disj : x ∉ t) :
∃ f : E →L[ℝ] ℝ, ∀ b ∈ t, f x < f b :=
let ⟨f, hf⟩ := geometric_hahn_banach_open_point ht₁ ht₂ disj
⟨-f, by simpa⟩
#align geometric_hahn_banach_point_open geometric_hahn_banach_point_open
| Mathlib/Analysis/NormedSpace/HahnBanach/Separation.lean | 128 | 146 | theorem geometric_hahn_banach_open_open (hs₁ : Convex ℝ s) (hs₂ : IsOpen s) (ht₁ : Convex ℝ t)
(ht₃ : IsOpen t) (disj : Disjoint s t) :
∃ (f : E →L[ℝ] ℝ) (u : ℝ), (∀ a ∈ s, f a < u) ∧ ∀ b ∈ t, u < f b := by |
obtain rfl | ⟨a₀, ha₀⟩ := s.eq_empty_or_nonempty
· exact ⟨0, -1, by simp, fun b _hb => by norm_num⟩
obtain rfl | ⟨b₀, hb₀⟩ := t.eq_empty_or_nonempty
· exact ⟨0, 1, fun a _ha => by norm_num, by simp⟩
obtain ⟨f, s, hf₁, hf₂⟩ := geometric_hahn_banach_open hs₁ hs₂ ht₁ disj
have hf : IsOpenMap f := by
refine f.isOpenMap_of_ne_zero ?_
rintro rfl
simp_rw [ContinuousLinearMap.zero_apply] at hf₁ hf₂
exact (hf₁ _ ha₀).not_le (hf₂ _ hb₀)
refine ⟨f, s, hf₁, image_subset_iff.1 (?_ : f '' t ⊆ Ioi s)⟩
rw [← interior_Ici]
refine interior_maximal (image_subset_iff.2 hf₂) (f.isOpenMap_of_ne_zero ?_ _ ht₃)
rintro rfl
simp_rw [ContinuousLinearMap.zero_apply] at hf₁ hf₂
exact (hf₁ _ ha₀).not_le (hf₂ _ hb₀)
|
/-
Copyright (c) 2018 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Order.Bounds.Basic
import Mathlib.Order.WellFounded
import Mathlib.Data.Set.Image
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Data.Set.Lattice
#align_import order.conditionally_complete_lattice.basic from "leanprover-community/mathlib"@"29cb56a7b35f72758b05a30490e1f10bd62c35c1"
/-!
# Theory of conditionally complete lattices.
A conditionally complete lattice is a lattice in which every non-empty bounded subset `s`
has a least upper bound and a greatest lower bound, denoted below by `sSup s` and `sInf s`.
Typical examples are `ℝ`, `ℕ`, and `ℤ` with their usual orders.
The theory is very comparable to the theory of complete lattices, except that suitable
boundedness and nonemptiness assumptions have to be added to most statements.
We introduce two predicates `BddAbove` and `BddBelow` to express this boundedness, prove
their basic properties, and then go on to prove most useful properties of `sSup` and `sInf`
in conditionally complete lattices.
To differentiate the statements between complete lattices and conditionally complete
lattices, we prefix `sInf` and `sSup` in the statements by `c`, giving `csInf` and `csSup`.
For instance, `sInf_le` is a statement in complete lattices ensuring `sInf s ≤ x`,
while `csInf_le` is the same statement in conditionally complete lattices
with an additional assumption that `s` is bounded below.
-/
open Function OrderDual Set
variable {α β γ : Type*} {ι : Sort*}
section
/-!
Extension of `sSup` and `sInf` from a preorder `α` to `WithTop α` and `WithBot α`
-/
variable [Preorder α]
open scoped Classical
noncomputable instance WithTop.instSupSet [SupSet α] :
SupSet (WithTop α) :=
⟨fun S =>
if ⊤ ∈ S then ⊤ else if BddAbove ((fun (a : α) ↦ ↑a) ⁻¹' S : Set α) then
↑(sSup ((fun (a : α) ↦ (a : WithTop α)) ⁻¹' S : Set α)) else ⊤⟩
noncomputable instance WithTop.instInfSet [InfSet α] : InfSet (WithTop α) :=
⟨fun S => if S ⊆ {⊤} ∨ ¬BddBelow S then ⊤ else ↑(sInf ((fun (a : α) ↦ ↑a) ⁻¹' S : Set α))⟩
noncomputable instance WithBot.instSupSet [SupSet α] : SupSet (WithBot α) :=
⟨(WithTop.instInfSet (α := αᵒᵈ)).sInf⟩
noncomputable instance WithBot.instInfSet [InfSet α] :
InfSet (WithBot α) :=
⟨(WithTop.instSupSet (α := αᵒᵈ)).sSup⟩
theorem WithTop.sSup_eq [SupSet α] {s : Set (WithTop α)} (hs : ⊤ ∉ s)
(hs' : BddAbove ((↑) ⁻¹' s : Set α)) : sSup s = ↑(sSup ((↑) ⁻¹' s) : α) :=
(if_neg hs).trans <| if_pos hs'
#align with_top.Sup_eq WithTop.sSup_eq
theorem WithTop.sInf_eq [InfSet α] {s : Set (WithTop α)} (hs : ¬s ⊆ {⊤}) (h's : BddBelow s) :
sInf s = ↑(sInf ((↑) ⁻¹' s) : α) :=
if_neg <| by simp [hs, h's]
#align with_top.Inf_eq WithTop.sInf_eq
theorem WithBot.sInf_eq [InfSet α] {s : Set (WithBot α)} (hs : ⊥ ∉ s)
(hs' : BddBelow ((↑) ⁻¹' s : Set α)) : sInf s = ↑(sInf ((↑) ⁻¹' s) : α) :=
(if_neg hs).trans <| if_pos hs'
#align with_bot.Inf_eq WithBot.sInf_eq
theorem WithBot.sSup_eq [SupSet α] {s : Set (WithBot α)} (hs : ¬s ⊆ {⊥}) (h's : BddAbove s) :
sSup s = ↑(sSup ((↑) ⁻¹' s) : α) :=
WithTop.sInf_eq (α := αᵒᵈ) hs h's
#align with_bot.Sup_eq WithBot.sSup_eq
@[simp]
theorem WithTop.sInf_empty [InfSet α] : sInf (∅ : Set (WithTop α)) = ⊤ :=
if_pos <| by simp
#align with_top.cInf_empty WithTop.sInf_empty
@[simp]
| Mathlib/Order/ConditionallyCompleteLattice/Basic.lean | 91 | 92 | theorem WithTop.iInf_empty [IsEmpty ι] [InfSet α] (f : ι → WithTop α) :
⨅ i, f i = ⊤ := by | rw [iInf, range_eq_empty, WithTop.sInf_empty]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.Init.Function
import Mathlib.Logic.Function.Basic
#align_import data.sigma.basic from "leanprover-community/mathlib"@"a148d797a1094ab554ad4183a4ad6f130358ef64"
/-!
# Sigma types
This file proves basic results about sigma types.
A sigma type is a dependent pair type. Like `α × β` but where the type of the second component
depends on the first component. More precisely, given `β : ι → Type*`, `Sigma β` is made of stuff
which is of type `β i` for some `i : ι`, so the sigma type is a disjoint union of types.
For example, the sum type `X ⊕ Y` can be emulated using a sigma type, by taking `ι` with
exactly two elements (see `Equiv.sumEquivSigmaBool`).
`Σ x, A x` is notation for `Sigma A` (note that this is `\Sigma`, not the sum operator `∑`).
`Σ x y z ..., A x y z ...` is notation for `Σ x, Σ y, Σ z, ..., A x y z ...`. Here we have
`α : Type*`, `β : α → Type*`, `γ : Π a : α, β a → Type*`, ...,
`A : Π (a : α) (b : β a) (c : γ a b) ..., Type*` with `x : α` `y : β x`, `z : γ x y`, ...
## Notes
The definition of `Sigma` takes values in `Type*`. This effectively forbids `Prop`- valued sigma
types. To that effect, we have `PSigma`, which takes value in `Sort*` and carries a more
complicated universe signature as a consequence.
-/
open Function
section Sigma
variable {α α₁ α₂ : Type*} {β : α → Type*} {β₁ : α₁ → Type*} {β₂ : α₂ → Type*}
namespace Sigma
instance instInhabitedSigma [Inhabited α] [Inhabited (β default)] : Inhabited (Sigma β) :=
⟨⟨default, default⟩⟩
instance instDecidableEqSigma [h₁ : DecidableEq α] [h₂ : ∀ a, DecidableEq (β a)] :
DecidableEq (Sigma β)
| ⟨a₁, b₁⟩, ⟨a₂, b₂⟩ =>
match a₁, b₁, a₂, b₂, h₁ a₁ a₂ with
| _, b₁, _, b₂, isTrue (Eq.refl _) =>
match b₁, b₂, h₂ _ b₁ b₂ with
| _, _, isTrue (Eq.refl _) => isTrue rfl
| _, _, isFalse n => isFalse fun h ↦ Sigma.noConfusion h fun _ e₂ ↦ n <| eq_of_heq e₂
| _, _, _, _, isFalse n => isFalse fun h ↦ Sigma.noConfusion h fun e₁ _ ↦ n e₁
-- sometimes the built-in injectivity support does not work
@[simp] -- @[nolint simpNF]
theorem mk.inj_iff {a₁ a₂ : α} {b₁ : β a₁} {b₂ : β a₂} :
Sigma.mk a₁ b₁ = ⟨a₂, b₂⟩ ↔ a₁ = a₂ ∧ HEq b₁ b₂ :=
⟨fun h ↦ by cases h; simp,
fun ⟨h₁, h₂⟩ ↦ by subst h₁; rw [eq_of_heq h₂]⟩
#align sigma.mk.inj_iff Sigma.mk.inj_iff
@[simp]
theorem eta : ∀ x : Σa, β a, Sigma.mk x.1 x.2 = x
| ⟨_, _⟩ => rfl
#align sigma.eta Sigma.eta
#align sigma.ext Sigma.ext
theorem ext_iff {x₀ x₁ : Sigma β} : x₀ = x₁ ↔ x₀.1 = x₁.1 ∧ HEq x₀.2 x₁.2 := by
cases x₀; cases x₁; exact Sigma.mk.inj_iff
#align sigma.ext_iff Sigma.ext_iff
/-- A version of `Iff.mp Sigma.ext_iff` for functions from a nonempty type to a sigma type. -/
| Mathlib/Data/Sigma/Basic.lean | 75 | 80 | theorem _root_.Function.eq_of_sigmaMk_comp {γ : Type*} [Nonempty γ]
{a b : α} {f : γ → β a} {g : γ → β b} (h : Sigma.mk a ∘ f = Sigma.mk b ∘ g) :
a = b ∧ HEq f g := by |
rcases ‹Nonempty γ› with ⟨i⟩
obtain rfl : a = b := congr_arg Sigma.fst (congr_fun h i)
simpa [funext_iff] using h
|
/-
Copyright (c) 2022 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Analysis.Normed.Group.Quotient
import Mathlib.Topology.Instances.AddCircle
#align_import analysis.normed.group.add_circle from "leanprover-community/mathlib"@"084f76e20c88eae536222583331abd9468b08e1c"
/-!
# The additive circle as a normed group
We define the normed group structure on `AddCircle p`, for `p : ℝ`. For example if `p = 1` then:
`‖(x : AddCircle 1)‖ = |x - round x|` for any `x : ℝ` (see `UnitAddCircle.norm_eq`).
## Main definitions:
* `AddCircle.norm_eq`: a characterisation of the norm on `AddCircle p`
## TODO
* The fact `InnerProductGeometry.angle (Real.cos θ) (Real.sin θ) = ‖(θ : Real.Angle)‖`
-/
noncomputable section
open Set
open Int hiding mem_zmultiples_iff
open AddSubgroup
namespace AddCircle
variable (p : ℝ)
instance : NormedAddCommGroup (AddCircle p) :=
AddSubgroup.normedAddCommGroupQuotient _
@[simp]
theorem norm_coe_mul (x : ℝ) (t : ℝ) :
‖(↑(t * x) : AddCircle (t * p))‖ = |t| * ‖(x : AddCircle p)‖ := by
have aux : ∀ {a b c : ℝ}, a ∈ zmultiples b → c * a ∈ zmultiples (c * b) := fun {a b c} h => by
simp only [mem_zmultiples_iff] at h ⊢
obtain ⟨n, rfl⟩ := h
exact ⟨n, (mul_smul_comm n c b).symm⟩
rcases eq_or_ne t 0 with (rfl | ht); · simp
have ht' : |t| ≠ 0 := (not_congr abs_eq_zero).mpr ht
simp only [quotient_norm_eq, Real.norm_eq_abs]
conv_rhs => rw [← smul_eq_mul, ← Real.sInf_smul_of_nonneg (abs_nonneg t)]
simp only [QuotientAddGroup.mk'_apply, QuotientAddGroup.eq_iff_sub_mem]
congr 1
ext z
rw [mem_smul_set_iff_inv_smul_mem₀ ht']
show
(∃ y, y - t * x ∈ zmultiples (t * p) ∧ |y| = z) ↔ ∃ w, w - x ∈ zmultiples p ∧ |w| = |t|⁻¹ * z
constructor
· rintro ⟨y, hy, rfl⟩
refine ⟨t⁻¹ * y, ?_, by rw [abs_mul, abs_inv]⟩
rw [← inv_mul_cancel_left₀ ht x, ← inv_mul_cancel_left₀ ht p, ← mul_sub]
exact aux hy
· rintro ⟨w, hw, hw'⟩
refine ⟨t * w, ?_, by rw [← (eq_inv_mul_iff_mul_eq₀ ht').mp hw', abs_mul]⟩
rw [← mul_sub]
exact aux hw
#align add_circle.norm_coe_mul AddCircle.norm_coe_mul
theorem norm_neg_period (x : ℝ) : ‖(x : AddCircle (-p))‖ = ‖(x : AddCircle p)‖ := by
suffices ‖(↑(-1 * x) : AddCircle (-1 * p))‖ = ‖(x : AddCircle p)‖ by
rw [← this, neg_one_mul]
simp
simp only [norm_coe_mul, abs_neg, abs_one, one_mul]
#align add_circle.norm_neg_period AddCircle.norm_neg_period
@[simp]
theorem norm_eq_of_zero {x : ℝ} : ‖(x : AddCircle (0 : ℝ))‖ = |x| := by
suffices { y : ℝ | (y : AddCircle (0 : ℝ)) = (x : AddCircle (0 : ℝ)) } = {x} by
rw [quotient_norm_eq, this, image_singleton, Real.norm_eq_abs, csInf_singleton]
ext y
simp [QuotientAddGroup.eq_iff_sub_mem, mem_zmultiples_iff, sub_eq_zero]
#align add_circle.norm_eq_of_zero AddCircle.norm_eq_of_zero
theorem norm_eq {x : ℝ} : ‖(x : AddCircle p)‖ = |x - round (p⁻¹ * x) * p| := by
suffices ∀ x : ℝ, ‖(x : AddCircle (1 : ℝ))‖ = |x - round x| by
rcases eq_or_ne p 0 with (rfl | hp)
· simp
have hx := norm_coe_mul p x p⁻¹
rw [abs_inv, eq_inv_mul_iff_mul_eq₀ ((not_congr abs_eq_zero).mpr hp)] at hx
rw [← hx, inv_mul_cancel hp, this, ← abs_mul, mul_sub, mul_inv_cancel_left₀ hp, mul_comm p]
clear! x p
intros x
rw [quotient_norm_eq, abs_sub_round_eq_min]
have h₁ : BddBelow (abs '' { m : ℝ | (m : AddCircle (1 : ℝ)) = x }) :=
⟨0, by simp [mem_lowerBounds]⟩
have h₂ : (abs '' { m : ℝ | (m : AddCircle (1 : ℝ)) = x }).Nonempty := ⟨|x|, ⟨x, rfl, rfl⟩⟩
apply le_antisymm
· simp_rw [Real.norm_eq_abs, csInf_le_iff h₁ h₂, le_min_iff]
intro b h
refine
⟨mem_lowerBounds.1 h _ ⟨fract x, ?_, abs_fract⟩,
mem_lowerBounds.1 h _ ⟨fract x - 1, ?_, by rw [abs_sub_comm, abs_one_sub_fract]⟩⟩
· simp only [mem_setOf, fract, sub_eq_self, QuotientAddGroup.mk_sub,
QuotientAddGroup.eq_zero_iff, intCast_mem_zmultiples_one]
· simp only [mem_setOf, fract, sub_eq_self, QuotientAddGroup.mk_sub,
QuotientAddGroup.eq_zero_iff, intCast_mem_zmultiples_one, sub_sub,
(by norm_cast : (⌊x⌋ : ℝ) + 1 = (↑(⌊x⌋ + 1) : ℝ))]
· simp only [QuotientAddGroup.mk'_apply, Real.norm_eq_abs, le_csInf_iff h₁ h₂]
rintro b' ⟨b, hb, rfl⟩
simp only [mem_setOf, QuotientAddGroup.eq_iff_sub_mem, mem_zmultiples_iff,
smul_one_eq_cast] at hb
obtain ⟨z, hz⟩ := hb
rw [(by rw [hz]; abel : x = b - z), fract_sub_int, ← abs_sub_round_eq_min]
convert round_le b 0
simp
#align add_circle.norm_eq AddCircle.norm_eq
theorem norm_eq' (hp : 0 < p) {x : ℝ} : ‖(x : AddCircle p)‖ = p * |p⁻¹ * x - round (p⁻¹ * x)| := by
conv_rhs =>
congr
rw [← abs_eq_self.mpr hp.le]
rw [← abs_mul, mul_sub, mul_inv_cancel_left₀ hp.ne.symm, norm_eq, mul_comm p]
#align add_circle.norm_eq' AddCircle.norm_eq'
theorem norm_le_half_period {x : AddCircle p} (hp : p ≠ 0) : ‖x‖ ≤ |p| / 2 := by
obtain ⟨x⟩ := x
change ‖(x : AddCircle p)‖ ≤ |p| / 2
rw [norm_eq, ← mul_le_mul_left (abs_pos.mpr (inv_ne_zero hp)), ← abs_mul, mul_sub, mul_left_comm,
← mul_div_assoc, ← abs_mul, inv_mul_cancel hp, mul_one, abs_one]
exact abs_sub_round (p⁻¹ * x)
#align add_circle.norm_le_half_period AddCircle.norm_le_half_period
@[simp]
theorem norm_half_period_eq : ‖(↑(p / 2) : AddCircle p)‖ = |p| / 2 := by
rcases eq_or_ne p 0 with (rfl | hp); · simp
rw [norm_eq, ← mul_div_assoc, inv_mul_cancel hp, one_div, round_two_inv, Int.cast_one,
one_mul, (by linarith : p / 2 - p = -(p / 2)), abs_neg, abs_div, abs_two]
#align add_circle.norm_half_period_eq AddCircle.norm_half_period_eq
theorem norm_coe_eq_abs_iff {x : ℝ} (hp : p ≠ 0) : ‖(x : AddCircle p)‖ = |x| ↔ |x| ≤ |p| / 2 := by
refine ⟨fun hx => hx ▸ norm_le_half_period p hp, fun hx => ?_⟩
suffices ∀ p : ℝ, 0 < p → |x| ≤ p / 2 → ‖(x : AddCircle p)‖ = |x| by
-- Porting note: replaced `lt_trichotomy` which had trouble substituting `p = 0`.
rcases hp.symm.lt_or_lt with (hp | hp)
· rw [abs_eq_self.mpr hp.le] at hx
exact this p hp hx
· rw [← norm_neg_period]
rw [abs_eq_neg_self.mpr hp.le] at hx
exact this (-p) (neg_pos.mpr hp) hx
clear hx
intro p hp hx
rcases eq_or_ne x (p / (2 : ℝ)) with (rfl | hx')
· simp [abs_div, abs_two]
suffices round (p⁻¹ * x) = 0 by simp [norm_eq, this]
rw [round_eq_zero_iff]
obtain ⟨hx₁, hx₂⟩ := abs_le.mp hx
replace hx₂ := Ne.lt_of_le hx' hx₂
constructor
· rwa [← mul_le_mul_left hp, ← mul_assoc, mul_inv_cancel hp.ne.symm, one_mul, mul_neg, ←
mul_div_assoc, mul_one]
· rwa [← mul_lt_mul_left hp, ← mul_assoc, mul_inv_cancel hp.ne.symm, one_mul, ← mul_div_assoc,
mul_one]
#align add_circle.norm_coe_eq_abs_iff AddCircle.norm_coe_eq_abs_iff
open Metric
theorem closedBall_eq_univ_of_half_period_le (hp : p ≠ 0) (x : AddCircle p) {ε : ℝ}
(hε : |p| / 2 ≤ ε) : closedBall x ε = univ :=
eq_univ_iff_forall.mpr fun x => by
simpa only [mem_closedBall, dist_eq_norm] using (norm_le_half_period p hp).trans hε
#align add_circle.closed_ball_eq_univ_of_half_period_le AddCircle.closedBall_eq_univ_of_half_period_le
@[simp]
theorem coe_real_preimage_closedBall_period_zero (x ε : ℝ) :
(↑) ⁻¹' closedBall (x : AddCircle (0 : ℝ)) ε = closedBall x ε := by
ext y
-- Porting note: squeezed the simp
simp only [Set.mem_preimage, dist_eq_norm, AddCircle.norm_eq_of_zero, iff_self,
← QuotientAddGroup.mk_sub, Metric.mem_closedBall, Real.norm_eq_abs]
#align add_circle.coe_real_preimage_closed_ball_period_zero AddCircle.coe_real_preimage_closedBall_period_zero
| Mathlib/Analysis/Normed/Group/AddCircle.lean | 184 | 195 | theorem coe_real_preimage_closedBall_eq_iUnion (x ε : ℝ) :
(↑) ⁻¹' closedBall (x : AddCircle p) ε = ⋃ z : ℤ, closedBall (x + z • p) ε := by |
rcases eq_or_ne p 0 with (rfl | hp)
· simp [iUnion_const]
ext y
simp only [dist_eq_norm, mem_preimage, mem_closedBall, zsmul_eq_mul, mem_iUnion, Real.norm_eq_abs,
← QuotientAddGroup.mk_sub, norm_eq, ← sub_sub]
refine ⟨fun h => ⟨round (p⁻¹ * (y - x)), h⟩, ?_⟩
rintro ⟨n, hn⟩
rw [← mul_le_mul_left (abs_pos.mpr <| inv_ne_zero hp), ← abs_mul, mul_sub, mul_comm _ p,
inv_mul_cancel_left₀ hp] at hn ⊢
exact (round_le (p⁻¹ * (y - x)) n).trans hn
|
/-
Copyright (c) 2023 Emily Witt. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Emily Witt, Scott Morrison, Jake Levinson, Sam van Gool
-/
import Mathlib.RingTheory.Ideal.Basic
import Mathlib.Algebra.Category.ModuleCat.Colimits
import Mathlib.Algebra.Category.ModuleCat.Projective
import Mathlib.CategoryTheory.Abelian.Ext
import Mathlib.RingTheory.Finiteness
import Mathlib.CategoryTheory.Limits.Final
import Mathlib.RingTheory.Noetherian
#align_import algebra.homology.local_cohomology from "leanprover-community/mathlib"@"893964fc28cefbcffc7cb784ed00a2895b4e65cf"
/-!
# Local cohomology.
This file defines the `i`-th local cohomology module of an `R`-module `M` with support in an
ideal `I` of `R`, where `R` is a commutative ring, as the direct limit of Ext modules:
Given a collection of ideals cofinal with the powers of `I`, consider the directed system of
quotients of `R` by these ideals, and take the direct limit of the system induced on the `i`-th
Ext into `M`. One can, of course, take the collection to simply be the integral powers of `I`.
## References
* [M. Hochster, *Local cohomology*][hochsterunpublished]
<https://dept.math.lsa.umich.edu/~hochster/615W22/lcc.pdf>
* [R. Hartshorne, *Local cohomology: A seminar given by A. Grothendieck*][hartshorne61]
* [M. Brodmann and R. Sharp, *Local cohomology: An algebraic introduction with geometric
applications*][brodmannsharp13]
* [S. Iyengar, G. Leuschke, A. Leykin, Anton, C. Miller, E. Miller, A. Singh, U. Walther,
*Twenty-four hours of local cohomology*][iyengaretal13]
## Tags
local cohomology, local cohomology modules
## Future work
* Prove that this definition is equivalent to:
* the right-derived functor definition
* the characterization as the limit of Koszul homology
* the characterization as the cohomology of a Cech-like complex
* Establish long exact sequence(s) in local cohomology
-/
open Opposite
open CategoryTheory
open CategoryTheory.Limits
noncomputable section
universe u v v'
namespace localCohomology
-- We define local cohomology, implemented as a direct limit of `Ext(R/J, -)`.
section
variable {R : Type u} [CommRing R] {D : Type v} [SmallCategory D]
/-- The directed system of `R`-modules of the form `R/J`, where `J` is an ideal of `R`,
determined by the functor `I` -/
def ringModIdeals (I : D ⥤ Ideal R) : D ⥤ ModuleCat.{u} R where
obj t := ModuleCat.of R <| R ⧸ I.obj t
map w := Submodule.mapQ _ _ LinearMap.id (I.map w).down.down
-- Porting note: was 'obviously'
map_comp f g := by apply Submodule.linearMap_qext; rfl
#align local_cohomology.ring_mod_ideals localCohomology.ringModIdeals
-- Porting note (#11215): TODO: Once this file is ported, move this instance to the right location.
instance moduleCat_enoughProjectives' : EnoughProjectives (ModuleCat.{u} R) :=
ModuleCat.moduleCat_enoughProjectives.{u}
set_option linter.uppercaseLean3 false in
#align local_cohomology.Module_enough_projectives' localCohomology.moduleCat_enoughProjectives'
/-- The diagram we will take the colimit of to define local cohomology, corresponding to the
directed system determined by the functor `I` -/
def diagram (I : D ⥤ Ideal R) (i : ℕ) : Dᵒᵖ ⥤ ModuleCat.{u} R ⥤ ModuleCat.{u} R :=
(ringModIdeals I).op ⋙ Ext R (ModuleCat.{u} R) i
#align local_cohomology.diagram localCohomology.diagram
end
section
-- We momentarily need to work with a type inequality, as later we will take colimits
-- along diagrams either in Type, or in the same universe as the ring, and we need to cover both.
variable {R : Type max u v} [CommRing R] {D : Type v} [SmallCategory D]
lemma hasColimitDiagram (I : D ⥤ Ideal R) (i : ℕ) :
HasColimit (diagram I i) := by
have : HasColimitsOfShape Dᵒᵖ (AddCommGroupCatMax.{u, v}) := inferInstance
infer_instance
/-
In this definition we do not assume any special property of the diagram `I`, but the relevant case
will be where `I` is (cofinal with) the diagram of powers of a single given ideal.
Below, we give two equivalent definitions of the usual local cohomology with support
in an ideal `J`, `localCohomology` and `localCohomology.ofSelfLERadical`.
-/
/-- `localCohomology.ofDiagram I i` is the functor sending a module `M` over a commutative
ring `R` to the direct limit of `Ext^i(R/J, M)`, where `J` ranges over a collection of ideals
of `R`, represented as a functor `I`. -/
def ofDiagram (I : D ⥤ Ideal R) (i : ℕ) : ModuleCatMax.{u, v} R ⥤ ModuleCatMax.{u, v} R :=
have := hasColimitDiagram.{u, v} I i
colimit (diagram I i)
#align local_cohomology.of_diagram localCohomology.ofDiagram
end
section
variable {R : Type max u v v'} [CommRing R] {D : Type v} [SmallCategory D]
variable {E : Type v'} [SmallCategory E] (I' : E ⥤ D) (I : D ⥤ Ideal R)
/-- Local cohomology along a composition of diagrams. -/
def diagramComp (i : ℕ) : diagram (I' ⋙ I) i ≅ I'.op ⋙ diagram I i :=
Iso.refl _
#align local_cohomology.diagram_comp localCohomology.diagramComp
/-- Local cohomology agrees along precomposition with a cofinal diagram. -/
@[nolint unusedHavesSuffices]
def isoOfFinal [Functor.Initial I'] (i : ℕ) :
ofDiagram.{max u v, v'} (I' ⋙ I) i ≅ ofDiagram.{max u v', v} I i :=
have := hasColimitDiagram.{max u v', v} I i
have := hasColimitDiagram.{max u v, v'} (I' ⋙ I) i
HasColimit.isoOfNatIso (diagramComp.{u} I' I i) ≪≫ Functor.Final.colimitIso _ _
#align local_cohomology.iso_of_final localCohomology.isoOfFinal
end
section Diagrams
variable {R : Type u} [CommRing R]
/-- The functor sending a natural number `i` to the `i`-th power of the ideal `J` -/
def idealPowersDiagram (J : Ideal R) : ℕᵒᵖ ⥤ Ideal R where
obj t := J ^ unop t
map w := ⟨⟨Ideal.pow_le_pow_right w.unop.down.down⟩⟩
#align local_cohomology.ideal_powers_diagram localCohomology.idealPowersDiagram
/-- The full subcategory of all ideals with radical containing `J` -/
def SelfLERadical (J : Ideal R) : Type u :=
FullSubcategory fun J' : Ideal R => J ≤ J'.radical
#align local_cohomology.self_le_radical localCohomology.SelfLERadical
-- Porting note: `deriving Category` is not able to derive this instance
-- https://github.com/leanprover-community/mathlib4/issues/5020
instance (J : Ideal R) : Category (SelfLERadical J) :=
(FullSubcategory.category _)
instance SelfLERadical.inhabited (J : Ideal R) : Inhabited (SelfLERadical J) where
default := ⟨J, Ideal.le_radical⟩
#align local_cohomology.self_le_radical.inhabited localCohomology.SelfLERadical.inhabited
/-- The diagram of all ideals with radical containing `J`, represented as a functor.
This is the "largest" diagram that computes local cohomology with support in `J`. -/
def selfLERadicalDiagram (J : Ideal R) : SelfLERadical J ⥤ Ideal R :=
fullSubcategoryInclusion _
#align local_cohomology.self_le_radical_diagram localCohomology.selfLERadicalDiagram
end Diagrams
end localCohomology
/-! We give two models for the local cohomology with support in an ideal `J`: first in terms of
the powers of `J` (`localCohomology`), then in terms of *all* ideals with radical
containing `J` (`localCohomology.ofSelfLERadical`). -/
section ModelsForLocalCohomology
open localCohomology
variable {R : Type u} [CommRing R]
/-- `localCohomology J i` is `i`-th the local cohomology module of a module `M` over
a commutative ring `R` with support in the ideal `J` of `R`, defined as the direct limit
of `Ext^i(R/J^t, M)` over all powers `t : ℕ`. -/
def localCohomology (J : Ideal R) (i : ℕ) : ModuleCat.{u} R ⥤ ModuleCat.{u} R :=
ofDiagram (idealPowersDiagram J) i
#align local_cohomology localCohomology
/-- Local cohomology as the direct limit of `Ext^i(R/J', M)` over *all* ideals `J'` with radical
containing `J`. -/
def localCohomology.ofSelfLERadical (J : Ideal R) (i : ℕ) : ModuleCat.{u} R ⥤ ModuleCat.{u} R :=
ofDiagram.{u} (selfLERadicalDiagram.{u} J) i
#align local_cohomology.of_self_le_radical localCohomology.ofSelfLERadical
end ModelsForLocalCohomology
namespace localCohomology
/-!
Showing equivalence of different definitions of local cohomology.
* `localCohomology.isoSelfLERadical` gives the isomorphism
`localCohomology J i ≅ localCohomology.ofSelfLERadical J i`
* `localCohomology.isoOfSameRadical` gives the isomorphism
`localCohomology J i ≅ localCohomology K i` when `J.radical = K.radical`.
-/
section LocalCohomologyEquiv
variable {R : Type u} [CommRing R]
/-- Lifting `idealPowersDiagram J` from a diagram valued in `ideals R` to a diagram
valued in `SelfLERadical J`. -/
def idealPowersToSelfLERadical (J : Ideal R) : ℕᵒᵖ ⥤ SelfLERadical J :=
FullSubcategory.lift _ (idealPowersDiagram J) fun k => by
change _ ≤ (J ^ unop k).radical
cases' unop k with n
· simp [Ideal.radical_top, pow_zero, Ideal.one_eq_top, le_top, Nat.zero_eq]
· simp only [J.radical_pow n.succ_ne_zero, Ideal.le_radical]
#align local_cohomology.ideal_powers_to_self_le_radical localCohomology.idealPowersToSelfLERadical
variable {I J K : Ideal R}
/-- The lemma below essentially says that `idealPowersToSelfLERadical I` is initial in
`selfLERadicalDiagram I`.
Porting note: This lemma should probably be moved to `Mathlib/RingTheory/Finiteness`
to be near `Ideal.exists_radical_pow_le_of_fg`, which it generalizes. -/
| Mathlib/Algebra/Homology/LocalCohomology.lean | 231 | 237 | theorem Ideal.exists_pow_le_of_le_radical_of_fG (hIJ : I ≤ J.radical) (hJ : J.radical.FG) :
∃ k : ℕ, I ^ k ≤ J := by |
obtain ⟨k, hk⟩ := J.exists_radical_pow_le_of_fg hJ
use k
calc
I ^ k ≤ J.radical ^ k := Ideal.pow_right_mono hIJ _
_ ≤ J := hk
|
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Analysis.Calculus.Deriv.Comp
import Mathlib.Analysis.Calculus.FDeriv.Equiv
#align_import analysis.calculus.deriv.inverse from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
/-!
# Inverse function theorem - the easy half
In this file we prove that `g' (f x) = (f' x)⁻¹` provided that `f` is strictly differentiable at
`x`, `f' x ≠ 0`, and `g` is a local left inverse of `f` that is continuous at `f x`. This is the
easy half of the inverse function theorem: the harder half states that `g` exists.
For a more detailed overview of one-dimensional derivatives in mathlib, see the module docstring of
`Analysis/Calculus/Deriv/Basic`.
## Keywords
derivative, inverse function
-/
universe u v w
open scoped Classical
open Topology Filter ENNReal
open Filter Asymptotics Set
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {f f₀ f₁ g : 𝕜 → F}
variable {f' f₀' f₁' g' : F}
variable {x : 𝕜}
variable {s t : Set 𝕜}
variable {L L₁ L₂ : Filter 𝕜}
theorem HasStrictDerivAt.hasStrictFDerivAt_equiv {f : 𝕜 → 𝕜} {f' x : 𝕜}
(hf : HasStrictDerivAt f f' x) (hf' : f' ≠ 0) :
HasStrictFDerivAt f (ContinuousLinearEquiv.unitsEquivAut 𝕜 (Units.mk0 f' hf') : 𝕜 →L[𝕜] 𝕜) x :=
hf
#align has_strict_deriv_at.has_strict_fderiv_at_equiv HasStrictDerivAt.hasStrictFDerivAt_equiv
theorem HasDerivAt.hasFDerivAt_equiv {f : 𝕜 → 𝕜} {f' x : 𝕜} (hf : HasDerivAt f f' x)
(hf' : f' ≠ 0) :
HasFDerivAt f (ContinuousLinearEquiv.unitsEquivAut 𝕜 (Units.mk0 f' hf') : 𝕜 →L[𝕜] 𝕜) x :=
hf
#align has_deriv_at.has_fderiv_at_equiv HasDerivAt.hasFDerivAt_equiv
/-- If `f (g y) = y` for `y` in some neighborhood of `a`, `g` is continuous at `a`, and `f` has an
invertible derivative `f'` at `g a` in the strict sense, then `g` has the derivative `f'⁻¹` at `a`
in the strict sense.
This is one of the easy parts of the inverse function theorem: it assumes that we already have an
inverse function. -/
theorem HasStrictDerivAt.of_local_left_inverse {f g : 𝕜 → 𝕜} {f' a : 𝕜} (hg : ContinuousAt g a)
(hf : HasStrictDerivAt f f' (g a)) (hf' : f' ≠ 0) (hfg : ∀ᶠ y in 𝓝 a, f (g y) = y) :
HasStrictDerivAt g f'⁻¹ a :=
(hf.hasStrictFDerivAt_equiv hf').of_local_left_inverse hg hfg
#align has_strict_deriv_at.of_local_left_inverse HasStrictDerivAt.of_local_left_inverse
/-- If `f` is a partial homeomorphism defined on a neighbourhood of `f.symm a`, and `f` has a
nonzero derivative `f'` at `f.symm a` in the strict sense, then `f.symm` has the derivative `f'⁻¹`
at `a` in the strict sense.
This is one of the easy parts of the inverse function theorem: it assumes that we already have
an inverse function. -/
theorem PartialHomeomorph.hasStrictDerivAt_symm (f : PartialHomeomorph 𝕜 𝕜) {a f' : 𝕜}
(ha : a ∈ f.target) (hf' : f' ≠ 0) (htff' : HasStrictDerivAt f f' (f.symm a)) :
HasStrictDerivAt f.symm f'⁻¹ a :=
htff'.of_local_left_inverse (f.symm.continuousAt ha) hf' (f.eventually_right_inverse ha)
#align local_homeomorph.has_strict_deriv_at_symm PartialHomeomorph.hasStrictDerivAt_symm
/-- If `f (g y) = y` for `y` in some neighborhood of `a`, `g` is continuous at `a`, and `f` has an
invertible derivative `f'` at `g a`, then `g` has the derivative `f'⁻¹` at `a`.
This is one of the easy parts of the inverse function theorem: it assumes that we already have
an inverse function. -/
theorem HasDerivAt.of_local_left_inverse {f g : 𝕜 → 𝕜} {f' a : 𝕜} (hg : ContinuousAt g a)
(hf : HasDerivAt f f' (g a)) (hf' : f' ≠ 0) (hfg : ∀ᶠ y in 𝓝 a, f (g y) = y) :
HasDerivAt g f'⁻¹ a :=
(hf.hasFDerivAt_equiv hf').of_local_left_inverse hg hfg
#align has_deriv_at.of_local_left_inverse HasDerivAt.of_local_left_inverse
/-- If `f` is a partial homeomorphism defined on a neighbourhood of `f.symm a`, and `f` has a
nonzero derivative `f'` at `f.symm a`, then `f.symm` has the derivative `f'⁻¹` at `a`.
This is one of the easy parts of the inverse function theorem: it assumes that we already have
an inverse function. -/
theorem PartialHomeomorph.hasDerivAt_symm (f : PartialHomeomorph 𝕜 𝕜) {a f' : 𝕜} (ha : a ∈ f.target)
(hf' : f' ≠ 0) (htff' : HasDerivAt f f' (f.symm a)) : HasDerivAt f.symm f'⁻¹ a :=
htff'.of_local_left_inverse (f.symm.continuousAt ha) hf' (f.eventually_right_inverse ha)
#align local_homeomorph.has_deriv_at_symm PartialHomeomorph.hasDerivAt_symm
theorem HasDerivAt.eventually_ne (h : HasDerivAt f f' x) (hf' : f' ≠ 0) :
∀ᶠ z in 𝓝[≠] x, f z ≠ f x :=
(hasDerivAt_iff_hasFDerivAt.1 h).eventually_ne
⟨‖f'‖⁻¹, fun z => by field_simp [norm_smul, mt norm_eq_zero.1 hf']⟩
#align has_deriv_at.eventually_ne HasDerivAt.eventually_ne
theorem HasDerivAt.tendsto_punctured_nhds (h : HasDerivAt f f' x) (hf' : f' ≠ 0) :
Tendsto f (𝓝[≠] x) (𝓝[≠] f x) :=
tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ h.continuousAt.continuousWithinAt
(h.eventually_ne hf')
#align has_deriv_at.tendsto_punctured_nhds HasDerivAt.tendsto_punctured_nhds
| Mathlib/Analysis/Calculus/Deriv/Inverse.lean | 112 | 117 | theorem not_differentiableWithinAt_of_local_left_inverse_hasDerivWithinAt_zero {f g : 𝕜 → 𝕜} {a : 𝕜}
{s t : Set 𝕜} (ha : a ∈ s) (hsu : UniqueDiffWithinAt 𝕜 s a) (hf : HasDerivWithinAt f 0 t (g a))
(hst : MapsTo g s t) (hfg : f ∘ g =ᶠ[𝓝[s] a] id) : ¬DifferentiableWithinAt 𝕜 g s a := by |
intro hg
have := (hf.comp a hg.hasDerivWithinAt hst).congr_of_eventuallyEq_of_mem hfg.symm ha
simpa using hsu.eq_deriv _ this (hasDerivWithinAt_id _ _)
|
/-
Copyright (c) 2022 Michael Stoll. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Stoll, Thomas Zhu, Mario Carneiro
-/
import Mathlib.NumberTheory.LegendreSymbol.QuadraticReciprocity
#align_import number_theory.legendre_symbol.jacobi_symbol from "leanprover-community/mathlib"@"74a27133cf29446a0983779e37c8f829a85368f3"
/-!
# The Jacobi Symbol
We define the Jacobi symbol and prove its main properties.
## Main definitions
We define the Jacobi symbol, `jacobiSym a b`, for integers `a` and natural numbers `b`
as the product over the prime factors `p` of `b` of the Legendre symbols `legendreSym p a`.
This agrees with the mathematical definition when `b` is odd.
The prime factors are obtained via `Nat.factors`. Since `Nat.factors 0 = []`,
this implies in particular that `jacobiSym a 0 = 1` for all `a`.
## Main statements
We prove the main properties of the Jacobi symbol, including the following.
* Multiplicativity in both arguments (`jacobiSym.mul_left`, `jacobiSym.mul_right`)
* The value of the symbol is `1` or `-1` when the arguments are coprime
(`jacobiSym.eq_one_or_neg_one`)
* The symbol vanishes if and only if `b ≠ 0` and the arguments are not coprime
(`jacobiSym.eq_zero_iff_not_coprime`)
* If the symbol has the value `-1`, then `a : ZMod b` is not a square
(`ZMod.nonsquare_of_jacobiSym_eq_neg_one`); the converse holds when `b = p` is a prime
(`ZMod.nonsquare_iff_jacobiSym_eq_neg_one`); in particular, in this case `a` is a
square mod `p` when the symbol has the value `1` (`ZMod.isSquare_of_jacobiSym_eq_one`).
* Quadratic reciprocity (`jacobiSym.quadratic_reciprocity`,
`jacobiSym.quadratic_reciprocity_one_mod_four`,
`jacobiSym.quadratic_reciprocity_three_mod_four`)
* The supplementary laws for `a = -1`, `a = 2`, `a = -2` (`jacobiSym.at_neg_one`,
`jacobiSym.at_two`, `jacobiSym.at_neg_two`)
* The symbol depends on `a` only via its residue class mod `b` (`jacobiSym.mod_left`)
and on `b` only via its residue class mod `4*a` (`jacobiSym.mod_right`)
* A `csimp` rule for `jacobiSym` and `legendreSym` that evaluates `J(a | b)` efficiently by
reducing to the case `0 ≤ a < b` and `a`, `b` odd, and then swaps `a`, `b` and recurses using
quadratic reciprocity.
## Notations
We define the notation `J(a | b)` for `jacobiSym a b`, localized to `NumberTheorySymbols`.
## Tags
Jacobi symbol, quadratic reciprocity
-/
section Jacobi
/-!
### Definition of the Jacobi symbol
We define the Jacobi symbol $\Bigl(\frac{a}{b}\Bigr)$ for integers `a` and natural numbers `b`
as the product of the Legendre symbols $\Bigl(\frac{a}{p}\Bigr)$, where `p` runs through the
prime divisors (with multiplicity) of `b`, as provided by `b.factors`. This agrees with the
Jacobi symbol when `b` is odd and gives less meaningful values when it is not (e.g., the symbol
is `1` when `b = 0`). This is called `jacobiSym a b`.
We define localized notation (locale `NumberTheorySymbols`) `J(a | b)` for the Jacobi
symbol `jacobiSym a b`.
-/
open Nat ZMod
-- Since we need the fact that the factors are prime, we use `List.pmap`.
/-- The Jacobi symbol of `a` and `b` -/
def jacobiSym (a : ℤ) (b : ℕ) : ℤ :=
(b.factors.pmap (fun p pp => @legendreSym p ⟨pp⟩ a) fun _ pf => prime_of_mem_factors pf).prod
#align jacobi_sym jacobiSym
-- Notation for the Jacobi symbol.
@[inherit_doc]
scoped[NumberTheorySymbols] notation "J(" a " | " b ")" => jacobiSym a b
-- Porting note: Without the following line, Lean expected `|` on several lines, e.g. line 102.
open NumberTheorySymbols
/-!
### Properties of the Jacobi symbol
-/
namespace jacobiSym
/-- The symbol `J(a | 0)` has the value `1`. -/
@[simp]
theorem zero_right (a : ℤ) : J(a | 0) = 1 := by
simp only [jacobiSym, factors_zero, List.prod_nil, List.pmap]
#align jacobi_sym.zero_right jacobiSym.zero_right
/-- The symbol `J(a | 1)` has the value `1`. -/
@[simp]
theorem one_right (a : ℤ) : J(a | 1) = 1 := by
simp only [jacobiSym, factors_one, List.prod_nil, List.pmap]
#align jacobi_sym.one_right jacobiSym.one_right
/-- The Legendre symbol `legendreSym p a` with an integer `a` and a prime number `p`
is the same as the Jacobi symbol `J(a | p)`. -/
theorem legendreSym.to_jacobiSym (p : ℕ) [fp : Fact p.Prime] (a : ℤ) :
legendreSym p a = J(a | p) := by
simp only [jacobiSym, factors_prime fp.1, List.prod_cons, List.prod_nil, mul_one, List.pmap]
#align legendre_sym.to_jacobi_sym jacobiSym.legendreSym.to_jacobiSym
/-- The Jacobi symbol is multiplicative in its second argument. -/
theorem mul_right' (a : ℤ) {b₁ b₂ : ℕ} (hb₁ : b₁ ≠ 0) (hb₂ : b₂ ≠ 0) :
J(a | b₁ * b₂) = J(a | b₁) * J(a | b₂) := by
rw [jacobiSym, ((perm_factors_mul hb₁ hb₂).pmap _).prod_eq, List.pmap_append, List.prod_append]
case h => exact fun p hp => (List.mem_append.mp hp).elim prime_of_mem_factors prime_of_mem_factors
case _ => rfl
#align jacobi_sym.mul_right' jacobiSym.mul_right'
/-- The Jacobi symbol is multiplicative in its second argument. -/
theorem mul_right (a : ℤ) (b₁ b₂ : ℕ) [NeZero b₁] [NeZero b₂] :
J(a | b₁ * b₂) = J(a | b₁) * J(a | b₂) :=
mul_right' a (NeZero.ne b₁) (NeZero.ne b₂)
#align jacobi_sym.mul_right jacobiSym.mul_right
/-- The Jacobi symbol takes only the values `0`, `1` and `-1`. -/
theorem trichotomy (a : ℤ) (b : ℕ) : J(a | b) = 0 ∨ J(a | b) = 1 ∨ J(a | b) = -1 :=
((@SignType.castHom ℤ _ _).toMonoidHom.mrange.copy {0, 1, -1} <| by
rw [Set.pair_comm];
exact (SignType.range_eq SignType.castHom).symm).list_prod_mem
(by
intro _ ha'
rcases List.mem_pmap.mp ha' with ⟨p, hp, rfl⟩
haveI : Fact p.Prime := ⟨prime_of_mem_factors hp⟩
exact quadraticChar_isQuadratic (ZMod p) a)
#align jacobi_sym.trichotomy jacobiSym.trichotomy
/-- The symbol `J(1 | b)` has the value `1`. -/
@[simp]
theorem one_left (b : ℕ) : J(1 | b) = 1 :=
List.prod_eq_one fun z hz => by
let ⟨p, hp, he⟩ := List.mem_pmap.1 hz
-- Porting note: The line 150 was added because Lean does not synthesize the instance
-- `[Fact (Nat.Prime p)]` automatically (it is needed for `legendreSym.at_one`)
letI : Fact p.Prime := ⟨prime_of_mem_factors hp⟩
rw [← he, legendreSym.at_one]
#align jacobi_sym.one_left jacobiSym.one_left
/-- The Jacobi symbol is multiplicative in its first argument. -/
theorem mul_left (a₁ a₂ : ℤ) (b : ℕ) : J(a₁ * a₂ | b) = J(a₁ | b) * J(a₂ | b) := by
simp_rw [jacobiSym, List.pmap_eq_map_attach, legendreSym.mul _ _ _];
exact List.prod_map_mul (α := ℤ) (l := (factors b).attach)
(f := fun x ↦ @legendreSym x {out := prime_of_mem_factors x.2} a₁)
(g := fun x ↦ @legendreSym x {out := prime_of_mem_factors x.2} a₂)
#align jacobi_sym.mul_left jacobiSym.mul_left
/-- The symbol `J(a | b)` vanishes iff `a` and `b` are not coprime (assuming `b ≠ 0`). -/
theorem eq_zero_iff_not_coprime {a : ℤ} {b : ℕ} [NeZero b] : J(a | b) = 0 ↔ a.gcd b ≠ 1 :=
List.prod_eq_zero_iff.trans
(by
rw [List.mem_pmap, Int.gcd_eq_natAbs, Ne, Prime.not_coprime_iff_dvd]
-- Porting note: Initially, `and_assoc'` and `and_comm'` were used on line 164 but they have
-- been deprecated so we replace them with `and_assoc` and `and_comm`
simp_rw [legendreSym.eq_zero_iff _ _, intCast_zmod_eq_zero_iff_dvd,
mem_factors (NeZero.ne b), ← Int.natCast_dvd, Int.natCast_dvd_natCast, exists_prop,
and_assoc, and_comm])
#align jacobi_sym.eq_zero_iff_not_coprime jacobiSym.eq_zero_iff_not_coprime
/-- The symbol `J(a | b)` is nonzero when `a` and `b` are coprime. -/
protected theorem ne_zero {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a | b) ≠ 0 := by
cases' eq_zero_or_neZero b with hb
· rw [hb, zero_right]
exact one_ne_zero
· contrapose! h; exact eq_zero_iff_not_coprime.1 h
#align jacobi_sym.ne_zero jacobiSym.ne_zero
/-- The symbol `J(a | b)` vanishes if and only if `b ≠ 0` and `a` and `b` are not coprime. -/
theorem eq_zero_iff {a : ℤ} {b : ℕ} : J(a | b) = 0 ↔ b ≠ 0 ∧ a.gcd b ≠ 1 :=
⟨fun h => by
rcases eq_or_ne b 0 with hb | hb
· rw [hb, zero_right] at h; cases h
exact ⟨hb, mt jacobiSym.ne_zero <| Classical.not_not.2 h⟩, fun ⟨hb, h⟩ => by
rw [← neZero_iff] at hb; exact eq_zero_iff_not_coprime.2 h⟩
#align jacobi_sym.eq_zero_iff jacobiSym.eq_zero_iff
/-- The symbol `J(0 | b)` vanishes when `b > 1`. -/
theorem zero_left {b : ℕ} (hb : 1 < b) : J(0 | b) = 0 :=
(@eq_zero_iff_not_coprime 0 b ⟨ne_zero_of_lt hb⟩).mpr <| by
rw [Int.gcd_zero_left, Int.natAbs_ofNat]; exact hb.ne'
#align jacobi_sym.zero_left jacobiSym.zero_left
/-- The symbol `J(a | b)` takes the value `1` or `-1` if `a` and `b` are coprime. -/
theorem eq_one_or_neg_one {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a | b) = 1 ∨ J(a | b) = -1 :=
(trichotomy a b).resolve_left <| jacobiSym.ne_zero h
#align jacobi_sym.eq_one_or_neg_one jacobiSym.eq_one_or_neg_one
/-- We have that `J(a^e | b) = J(a | b)^e`. -/
theorem pow_left (a : ℤ) (e b : ℕ) : J(a ^ e | b) = J(a | b) ^ e :=
Nat.recOn e (by rw [_root_.pow_zero, _root_.pow_zero, one_left]) fun _ ih => by
rw [_root_.pow_succ, _root_.pow_succ, mul_left, ih]
#align jacobi_sym.pow_left jacobiSym.pow_left
/-- We have that `J(a | b^e) = J(a | b)^e`. -/
theorem pow_right (a : ℤ) (b e : ℕ) : J(a | b ^ e) = J(a | b) ^ e := by
induction' e with e ih
· rw [Nat.pow_zero, _root_.pow_zero, one_right]
· cases' eq_zero_or_neZero b with hb
· rw [hb, zero_pow e.succ_ne_zero, zero_right, one_pow]
· rw [_root_.pow_succ, _root_.pow_succ, mul_right, ih]
#align jacobi_sym.pow_right jacobiSym.pow_right
/-- The square of `J(a | b)` is `1` when `a` and `b` are coprime. -/
theorem sq_one {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a | b) ^ 2 = 1 := by
cases' eq_one_or_neg_one h with h₁ h₁ <;> rw [h₁] <;> rfl
#align jacobi_sym.sq_one jacobiSym.sq_one
/-- The symbol `J(a^2 | b)` is `1` when `a` and `b` are coprime. -/
theorem sq_one' {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a ^ 2 | b) = 1 := by rw [pow_left, sq_one h]
#align jacobi_sym.sq_one' jacobiSym.sq_one'
/-- The symbol `J(a | b)` depends only on `a` mod `b`. -/
theorem mod_left (a : ℤ) (b : ℕ) : J(a | b) = J(a % b | b) :=
congr_arg List.prod <|
List.pmap_congr _
(by
-- Porting note: Lean does not synthesize the instance [Fact (Nat.Prime p)] automatically
-- (it is needed for `legendreSym.mod` on line 227). Thus, we name the hypothesis
-- `Nat.Prime p` explicitly on line 224 and prove `Fact (Nat.Prime p)` on line 225.
rintro p hp _ h₂
letI : Fact p.Prime := ⟨h₂⟩
conv_rhs =>
rw [legendreSym.mod, Int.emod_emod_of_dvd _ (Int.natCast_dvd_natCast.2 <|
dvd_of_mem_factors hp), ← legendreSym.mod])
#align jacobi_sym.mod_left jacobiSym.mod_left
/-- The symbol `J(a | b)` depends only on `a` mod `b`. -/
theorem mod_left' {a₁ a₂ : ℤ} {b : ℕ} (h : a₁ % b = a₂ % b) : J(a₁ | b) = J(a₂ | b) := by
rw [mod_left, h, ← mod_left]
#align jacobi_sym.mod_left' jacobiSym.mod_left'
/-- If `p` is prime, `J(a | p) = -1` and `p` divides `x^2 - a*y^2`, then `p` must divide
`x` and `y`. -/
theorem prime_dvd_of_eq_neg_one {p : ℕ} [Fact p.Prime] {a : ℤ} (h : J(a | p) = -1) {x y : ℤ}
(hxy : ↑p ∣ (x ^ 2 - a * y ^ 2 : ℤ)) : ↑p ∣ x ∧ ↑p ∣ y := by
rw [← legendreSym.to_jacobiSym] at h
exact legendreSym.prime_dvd_of_eq_neg_one h hxy
#align jacobi_sym.prime_dvd_of_eq_neg_one jacobiSym.prime_dvd_of_eq_neg_one
/-- We can pull out a product over a list in the first argument of the Jacobi symbol. -/
theorem list_prod_left {l : List ℤ} {n : ℕ} : J(l.prod | n) = (l.map fun a => J(a | n)).prod := by
induction' l with n l' ih
· simp only [List.prod_nil, List.map_nil, one_left]
· rw [List.map, List.prod_cons, List.prod_cons, mul_left, ih]
#align jacobi_sym.list_prod_left jacobiSym.list_prod_left
/-- We can pull out a product over a list in the second argument of the Jacobi symbol. -/
theorem list_prod_right {a : ℤ} {l : List ℕ} (hl : ∀ n ∈ l, n ≠ 0) :
J(a | l.prod) = (l.map fun n => J(a | n)).prod := by
induction' l with n l' ih
· simp only [List.prod_nil, one_right, List.map_nil]
· have hn := hl n (List.mem_cons_self n l')
-- `n ≠ 0`
have hl' := List.prod_ne_zero fun hf => hl 0 (List.mem_cons_of_mem _ hf) rfl
-- `l'.prod ≠ 0`
have h := fun m hm => hl m (List.mem_cons_of_mem _ hm)
-- `∀ (m : ℕ), m ∈ l' → m ≠ 0`
rw [List.map, List.prod_cons, List.prod_cons, mul_right' a hn hl', ih h]
#align jacobi_sym.list_prod_right jacobiSym.list_prod_right
/-- If `J(a | n) = -1`, then `n` has a prime divisor `p` such that `J(a | p) = -1`. -/
theorem eq_neg_one_at_prime_divisor_of_eq_neg_one {a : ℤ} {n : ℕ} (h : J(a | n) = -1) :
∃ p : ℕ, p.Prime ∧ p ∣ n ∧ J(a | p) = -1 := by
have hn₀ : n ≠ 0 := by
rintro rfl
rw [zero_right, eq_neg_self_iff] at h
exact one_ne_zero h
have hf₀ : ∀ p ∈ n.factors, p ≠ 0 := fun p hp => (Nat.pos_of_mem_factors hp).ne.symm
rw [← Nat.prod_factors hn₀, list_prod_right hf₀] at h
obtain ⟨p, hmem, hj⟩ := List.mem_map.mp (List.neg_one_mem_of_prod_eq_neg_one h)
exact ⟨p, Nat.prime_of_mem_factors hmem, Nat.dvd_of_mem_factors hmem, hj⟩
#align jacobi_sym.eq_neg_one_at_prime_divisor_of_eq_neg_one jacobiSym.eq_neg_one_at_prime_divisor_of_eq_neg_one
end jacobiSym
namespace ZMod
open jacobiSym
/-- If `J(a | b)` is `-1`, then `a` is not a square modulo `b`. -/
theorem nonsquare_of_jacobiSym_eq_neg_one {a : ℤ} {b : ℕ} (h : J(a | b) = -1) :
¬IsSquare (a : ZMod b) := fun ⟨r, ha⟩ => by
rw [← r.coe_valMinAbs, ← Int.cast_mul, intCast_eq_intCast_iff', ← sq] at ha
apply (by norm_num : ¬(0 : ℤ) ≤ -1)
rw [← h, mod_left, ha, ← mod_left, pow_left]
apply sq_nonneg
#align zmod.nonsquare_of_jacobi_sym_eq_neg_one ZMod.nonsquare_of_jacobiSym_eq_neg_one
/-- If `p` is prime, then `J(a | p)` is `-1` iff `a` is not a square modulo `p`. -/
theorem nonsquare_iff_jacobiSym_eq_neg_one {a : ℤ} {p : ℕ} [Fact p.Prime] :
J(a | p) = -1 ↔ ¬IsSquare (a : ZMod p) := by
rw [← legendreSym.to_jacobiSym];
exact legendreSym.eq_neg_one_iff p
#align zmod.nonsquare_iff_jacobi_sym_eq_neg_one ZMod.nonsquare_iff_jacobiSym_eq_neg_one
/-- If `p` is prime and `J(a | p) = 1`, then `a` is a square mod `p`. -/
theorem isSquare_of_jacobiSym_eq_one {a : ℤ} {p : ℕ} [Fact p.Prime] (h : J(a | p) = 1) :
IsSquare (a : ZMod p) :=
Classical.not_not.mp <| by rw [← nonsquare_iff_jacobiSym_eq_neg_one, h]; decide
#align zmod.is_square_of_jacobi_sym_eq_one ZMod.isSquare_of_jacobiSym_eq_one
end ZMod
/-!
### Values at `-1`, `2` and `-2`
-/
namespace jacobiSym
/-- If `χ` is a multiplicative function such that `J(a | p) = χ p` for all odd primes `p`,
then `J(a | b)` equals `χ b` for all odd natural numbers `b`. -/
theorem value_at (a : ℤ) {R : Type*} [CommSemiring R] (χ : R →* ℤ)
(hp : ∀ (p : ℕ) (pp : p.Prime), p ≠ 2 → @legendreSym p ⟨pp⟩ a = χ p) {b : ℕ} (hb : Odd b) :
J(a | b) = χ b := by
conv_rhs => rw [← prod_factors hb.pos.ne', cast_list_prod, map_list_prod χ]
rw [jacobiSym, List.map_map, ← List.pmap_eq_map Nat.Prime _ _ fun _ => prime_of_mem_factors]
congr 1; apply List.pmap_congr
exact fun p h pp _ => hp p pp (hb.ne_two_of_dvd_nat <| dvd_of_mem_factors h)
#align jacobi_sym.value_at jacobiSym.value_at
/-- If `b` is odd, then `J(-1 | b)` is given by `χ₄ b`. -/
theorem at_neg_one {b : ℕ} (hb : Odd b) : J(-1 | b) = χ₄ b :=
-- Porting note: In mathlib3, it was written `χ₄` and Lean could guess that it had to use
-- `χ₄.to_monoid_hom`. This is not the case with Lean 4.
value_at (-1) χ₄.toMonoidHom (fun p pp => @legendreSym.at_neg_one p ⟨pp⟩) hb
#align jacobi_sym.at_neg_one jacobiSym.at_neg_one
/-- If `b` is odd, then `J(-a | b) = χ₄ b * J(a | b)`. -/
protected theorem neg (a : ℤ) {b : ℕ} (hb : Odd b) : J(-a | b) = χ₄ b * J(a | b) := by
rw [neg_eq_neg_one_mul, mul_left, at_neg_one hb]
#align jacobi_sym.neg jacobiSym.neg
/-- If `b` is odd, then `J(2 | b)` is given by `χ₈ b`. -/
theorem at_two {b : ℕ} (hb : Odd b) : J(2 | b) = χ₈ b :=
value_at 2 χ₈.toMonoidHom (fun p pp => @legendreSym.at_two p ⟨pp⟩) hb
#align jacobi_sym.at_two jacobiSym.at_two
/-- If `b` is odd, then `J(-2 | b)` is given by `χ₈' b`. -/
theorem at_neg_two {b : ℕ} (hb : Odd b) : J(-2 | b) = χ₈' b :=
value_at (-2) χ₈'.toMonoidHom (fun p pp => @legendreSym.at_neg_two p ⟨pp⟩) hb
#align jacobi_sym.at_neg_two jacobiSym.at_neg_two
theorem div_four_left {a : ℤ} {b : ℕ} (ha4 : a % 4 = 0) (hb2 : b % 2 = 1) :
J(a / 4 | b) = J(a | b) := by
obtain ⟨a, rfl⟩ := Int.dvd_of_emod_eq_zero ha4
have : Int.gcd (2 : ℕ) b = 1 := by
rw [Int.gcd_natCast_natCast, ← b.mod_add_div 2, hb2, Nat.gcd_add_mul_left_right,
Nat.gcd_one_right]
rw [Int.mul_ediv_cancel_left _ (by decide), jacobiSym.mul_left,
(by decide : (4 : ℤ) = (2 : ℕ) ^ 2), jacobiSym.sq_one' this, one_mul]
theorem even_odd {a : ℤ} {b : ℕ} (ha2 : a % 2 = 0) (hb2 : b % 2 = 1) :
(if b % 8 = 3 ∨ b % 8 = 5 then -J(a / 2 | b) else J(a / 2 | b)) = J(a | b) := by
obtain ⟨a, rfl⟩ := Int.dvd_of_emod_eq_zero ha2
rw [Int.mul_ediv_cancel_left _ (by decide), jacobiSym.mul_left,
jacobiSym.at_two (Nat.odd_iff.mpr hb2), ZMod.χ₈_nat_eq_if_mod_eight,
if_neg (Nat.mod_two_ne_zero.mpr hb2)]
have := Nat.mod_lt b (by decide : 0 < 8)
interval_cases h : b % 8 <;> simp_all <;>
· have := hb2 ▸ h ▸ Nat.mod_mod_of_dvd b (by decide : 2 ∣ 8)
simp_all
end jacobiSym
/-!
### Quadratic Reciprocity
-/
/-- The bi-multiplicative map giving the sign in the Law of Quadratic Reciprocity -/
def qrSign (m n : ℕ) : ℤ :=
J(χ₄ m | n)
#align qr_sign qrSign
namespace qrSign
/-- We can express `qrSign m n` as a power of `-1` when `m` and `n` are odd. -/
theorem neg_one_pow {m n : ℕ} (hm : Odd m) (hn : Odd n) :
qrSign m n = (-1) ^ (m / 2 * (n / 2)) := by
rw [qrSign, pow_mul, ← χ₄_eq_neg_one_pow (odd_iff.mp hm)]
cases' odd_mod_four_iff.mp (odd_iff.mp hm) with h h
· rw [χ₄_nat_one_mod_four h, jacobiSym.one_left, one_pow]
· rw [χ₄_nat_three_mod_four h, ← χ₄_eq_neg_one_pow (odd_iff.mp hn), jacobiSym.at_neg_one hn]
#align qr_sign.neg_one_pow qrSign.neg_one_pow
/-- When `m` and `n` are odd, then the square of `qrSign m n` is `1`. -/
theorem sq_eq_one {m n : ℕ} (hm : Odd m) (hn : Odd n) : qrSign m n ^ 2 = 1 := by
rw [neg_one_pow hm hn, ← pow_mul, mul_comm, pow_mul, neg_one_sq, one_pow]
#align qr_sign.sq_eq_one qrSign.sq_eq_one
/-- `qrSign` is multiplicative in the first argument. -/
theorem mul_left (m₁ m₂ n : ℕ) : qrSign (m₁ * m₂) n = qrSign m₁ n * qrSign m₂ n := by
simp_rw [qrSign, Nat.cast_mul, map_mul, jacobiSym.mul_left]
#align qr_sign.mul_left qrSign.mul_left
/-- `qrSign` is multiplicative in the second argument. -/
theorem mul_right (m n₁ n₂ : ℕ) [NeZero n₁] [NeZero n₂] :
qrSign m (n₁ * n₂) = qrSign m n₁ * qrSign m n₂ :=
jacobiSym.mul_right (χ₄ m) n₁ n₂
#align qr_sign.mul_right qrSign.mul_right
/-- `qrSign` is symmetric when both arguments are odd. -/
protected theorem symm {m n : ℕ} (hm : Odd m) (hn : Odd n) : qrSign m n = qrSign n m := by
rw [neg_one_pow hm hn, neg_one_pow hn hm, mul_comm (m / 2)]
#align qr_sign.symm qrSign.symm
/-- We can move `qrSign m n` from one side of an equality to the other when `m` and `n` are odd. -/
theorem eq_iff_eq {m n : ℕ} (hm : Odd m) (hn : Odd n) (x y : ℤ) :
qrSign m n * x = y ↔ x = qrSign m n * y := by
refine
⟨fun h' =>
let h := h'.symm
?_,
fun h => ?_⟩ <;>
rw [h, ← mul_assoc, ← pow_two, sq_eq_one hm hn, one_mul]
#align qr_sign.eq_iff_eq qrSign.eq_iff_eq
end qrSign
namespace jacobiSym
/-- The **Law of Quadratic Reciprocity for the Jacobi symbol**, version with `qrSign` -/
| Mathlib/NumberTheory/LegendreSymbol/JacobiSymbol.lean | 442 | 460 | theorem quadratic_reciprocity' {a b : ℕ} (ha : Odd a) (hb : Odd b) :
J(a | b) = qrSign b a * J(b | a) := by |
-- define the right hand side for fixed `a` as a `ℕ →* ℤ`
let rhs : ℕ → ℕ →* ℤ := fun a =>
{ toFun := fun x => qrSign x a * J(x | a)
map_one' := by convert ← mul_one (M := ℤ) _; (on_goal 1 => symm); all_goals apply one_left
map_mul' := fun x y => by
-- Porting note: `simp_rw` on line 423 replaces `rw` to allow the rewrite rules to be
-- applied under the binder `fun ↦ ...`
simp_rw [qrSign.mul_left x y a, Nat.cast_mul, mul_left, mul_mul_mul_comm] }
have rhs_apply : ∀ a b : ℕ, rhs a b = qrSign b a * J(b | a) := fun a b => rfl
refine value_at a (rhs a) (fun p pp hp => Eq.symm ?_) hb
have hpo := pp.eq_two_or_odd'.resolve_left hp
rw [@legendreSym.to_jacobiSym p ⟨pp⟩, rhs_apply, Nat.cast_id, qrSign.eq_iff_eq hpo ha,
qrSign.symm hpo ha]
refine value_at p (rhs p) (fun q pq hq => ?_) ha
have hqo := pq.eq_two_or_odd'.resolve_left hq
rw [rhs_apply, Nat.cast_id, ← @legendreSym.to_jacobiSym p ⟨pp⟩, qrSign.symm hqo hpo,
qrSign.neg_one_pow hpo hqo, @legendreSym.quadratic_reciprocity' p q ⟨pp⟩ ⟨pq⟩ hp hq]
|
/-
Copyright (c) 2022 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison, Joël Riou
-/
import Mathlib.CategoryTheory.CommSq
import Mathlib.CategoryTheory.Limits.Opposites
import Mathlib.CategoryTheory.Limits.Shapes.Biproducts
import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms
import Mathlib.CategoryTheory.Limits.Constructions.BinaryProducts
import Mathlib.CategoryTheory.Limits.Constructions.ZeroObjects
#align_import category_theory.limits.shapes.comm_sq from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
/-!
# Pullback and pushout squares, and bicartesian squares
We provide another API for pullbacks and pushouts.
`IsPullback fst snd f g` is the proposition that
```
P --fst--> X
| |
snd f
| |
v v
Y ---g---> Z
```
is a pullback square.
(And similarly for `IsPushout`.)
We provide the glue to go back and forth to the usual `IsLimit` API for pullbacks, and prove
`IsPullback (pullback.fst : pullback f g ⟶ X) (pullback.snd : pullback f g ⟶ Y) f g`
for the usual `pullback f g` provided by the `HasLimit` API.
We don't attempt to restate everything we know about pullbacks in this language,
but do restate the pasting lemmas.
We define bicartesian squares, and
show that the pullback and pushout squares for a biproduct are bicartesian.
-/
noncomputable section
open CategoryTheory
open CategoryTheory.Limits
universe v₁ v₂ u₁ u₂
namespace CategoryTheory
variable {C : Type u₁} [Category.{v₁} C]
attribute [simp] CommSq.mk
namespace CommSq
variable {W X Y Z : C} {f : W ⟶ X} {g : W ⟶ Y} {h : X ⟶ Z} {i : Y ⟶ Z}
/-- The (not necessarily limiting) `PullbackCone h i` implicit in the statement
that we have `CommSq f g h i`.
-/
def cone (s : CommSq f g h i) : PullbackCone h i :=
PullbackCone.mk _ _ s.w
#align category_theory.comm_sq.cone CategoryTheory.CommSq.cone
/-- The (not necessarily limiting) `PushoutCocone f g` implicit in the statement
that we have `CommSq f g h i`.
-/
def cocone (s : CommSq f g h i) : PushoutCocone f g :=
PushoutCocone.mk _ _ s.w
#align category_theory.comm_sq.cocone CategoryTheory.CommSq.cocone
@[simp]
theorem cone_fst (s : CommSq f g h i) : s.cone.fst = f :=
rfl
#align category_theory.comm_sq.cone_fst CategoryTheory.CommSq.cone_fst
@[simp]
theorem cone_snd (s : CommSq f g h i) : s.cone.snd = g :=
rfl
#align category_theory.comm_sq.cone_snd CategoryTheory.CommSq.cone_snd
@[simp]
theorem cocone_inl (s : CommSq f g h i) : s.cocone.inl = h :=
rfl
#align category_theory.comm_sq.cocone_inl CategoryTheory.CommSq.cocone_inl
@[simp]
theorem cocone_inr (s : CommSq f g h i) : s.cocone.inr = i :=
rfl
#align category_theory.comm_sq.cocone_inr CategoryTheory.CommSq.cocone_inr
/-- The pushout cocone in the opposite category associated to the cone of
a commutative square identifies to the cocone of the flipped commutative square in
the opposite category -/
def coneOp (p : CommSq f g h i) : p.cone.op ≅ p.flip.op.cocone :=
PushoutCocone.ext (Iso.refl _) (by aesop_cat) (by aesop_cat)
#align category_theory.comm_sq.cone_op CategoryTheory.CommSq.coneOp
/-- The pullback cone in the opposite category associated to the cocone of
a commutative square identifies to the cone of the flipped commutative square in
the opposite category -/
def coconeOp (p : CommSq f g h i) : p.cocone.op ≅ p.flip.op.cone :=
PullbackCone.ext (Iso.refl _) (by aesop_cat) (by aesop_cat)
#align category_theory.comm_sq.cocone_op CategoryTheory.CommSq.coconeOp
/-- The pushout cocone obtained from the pullback cone associated to a
commutative square in the opposite category identifies to the cocone associated
to the flipped square. -/
def coneUnop {W X Y Z : Cᵒᵖ} {f : W ⟶ X} {g : W ⟶ Y} {h : X ⟶ Z} {i : Y ⟶ Z} (p : CommSq f g h i) :
p.cone.unop ≅ p.flip.unop.cocone :=
PushoutCocone.ext (Iso.refl _) (by aesop_cat) (by aesop_cat)
#align category_theory.comm_sq.cone_unop CategoryTheory.CommSq.coneUnop
/-- The pullback cone obtained from the pushout cone associated to a
commutative square in the opposite category identifies to the cone associated
to the flipped square. -/
def coconeUnop {W X Y Z : Cᵒᵖ} {f : W ⟶ X} {g : W ⟶ Y} {h : X ⟶ Z} {i : Y ⟶ Z}
(p : CommSq f g h i) : p.cocone.unop ≅ p.flip.unop.cone :=
PullbackCone.ext (Iso.refl _) (by aesop_cat) (by aesop_cat)
#align category_theory.comm_sq.cocone_unop CategoryTheory.CommSq.coconeUnop
end CommSq
/-- The proposition that a square
```
P --fst--> X
| |
snd f
| |
v v
Y ---g---> Z
```
is a pullback square. (Also known as a fibered product or cartesian square.)
-/
structure IsPullback {P X Y Z : C} (fst : P ⟶ X) (snd : P ⟶ Y) (f : X ⟶ Z) (g : Y ⟶ Z) extends
CommSq fst snd f g : Prop where
/-- the pullback cone is a limit -/
isLimit' : Nonempty (IsLimit (PullbackCone.mk _ _ w))
#align category_theory.is_pullback CategoryTheory.IsPullback
/-- The proposition that a square
```
Z ---f---> X
| |
g inl
| |
v v
Y --inr--> P
```
is a pushout square. (Also known as a fiber coproduct or cocartesian square.)
-/
structure IsPushout {Z X Y P : C} (f : Z ⟶ X) (g : Z ⟶ Y) (inl : X ⟶ P) (inr : Y ⟶ P) extends
CommSq f g inl inr : Prop where
/-- the pushout cocone is a colimit -/
isColimit' : Nonempty (IsColimit (PushoutCocone.mk _ _ w))
#align category_theory.is_pushout CategoryTheory.IsPushout
section
/-- A *bicartesian* square is a commutative square
```
W ---f---> X
| |
g h
| |
v v
Y ---i---> Z
```
that is both a pullback square and a pushout square.
-/
structure BicartesianSq {W X Y Z : C} (f : W ⟶ X) (g : W ⟶ Y) (h : X ⟶ Z) (i : Y ⟶ Z) extends
IsPullback f g h i, IsPushout f g h i : Prop
#align category_theory.bicartesian_sq CategoryTheory.BicartesianSq
-- Lean should make these parent projections as `lemma`, not `def`.
attribute [nolint defLemma docBlame] BicartesianSq.toIsPullback BicartesianSq.toIsPushout
end
/-!
We begin by providing some glue between `IsPullback` and the `IsLimit` and `HasLimit` APIs.
(And similarly for `IsPushout`.)
-/
namespace IsPullback
variable {P X Y Z : C} {fst : P ⟶ X} {snd : P ⟶ Y} {f : X ⟶ Z} {g : Y ⟶ Z}
/-- The (limiting) `PullbackCone f g` implicit in the statement
that we have an `IsPullback fst snd f g`.
-/
def cone (h : IsPullback fst snd f g) : PullbackCone f g :=
h.toCommSq.cone
#align category_theory.is_pullback.cone CategoryTheory.IsPullback.cone
@[simp]
theorem cone_fst (h : IsPullback fst snd f g) : h.cone.fst = fst :=
rfl
#align category_theory.is_pullback.cone_fst CategoryTheory.IsPullback.cone_fst
@[simp]
theorem cone_snd (h : IsPullback fst snd f g) : h.cone.snd = snd :=
rfl
#align category_theory.is_pullback.cone_snd CategoryTheory.IsPullback.cone_snd
/-- The cone obtained from `IsPullback fst snd f g` is a limit cone.
-/
noncomputable def isLimit (h : IsPullback fst snd f g) : IsLimit h.cone :=
h.isLimit'.some
#align category_theory.is_pullback.is_limit CategoryTheory.IsPullback.isLimit
/-- If `c` is a limiting pullback cone, then we have an `IsPullback c.fst c.snd f g`. -/
theorem of_isLimit {c : PullbackCone f g} (h : Limits.IsLimit c) : IsPullback c.fst c.snd f g :=
{ w := c.condition
isLimit' := ⟨IsLimit.ofIsoLimit h (Limits.PullbackCone.ext (Iso.refl _)
(by aesop_cat) (by aesop_cat))⟩ }
#align category_theory.is_pullback.of_is_limit CategoryTheory.IsPullback.of_isLimit
/-- A variant of `of_isLimit` that is more useful with `apply`. -/
theorem of_isLimit' (w : CommSq fst snd f g) (h : Limits.IsLimit w.cone) :
IsPullback fst snd f g :=
of_isLimit h
#align category_theory.is_pullback.of_is_limit' CategoryTheory.IsPullback.of_isLimit'
/-- The pullback provided by `HasPullback f g` fits into an `IsPullback`. -/
theorem of_hasPullback (f : X ⟶ Z) (g : Y ⟶ Z) [HasPullback f g] :
IsPullback (pullback.fst : pullback f g ⟶ X) (pullback.snd : pullback f g ⟶ Y) f g :=
of_isLimit (limit.isLimit (cospan f g))
#align category_theory.is_pullback.of_has_pullback CategoryTheory.IsPullback.of_hasPullback
/-- If `c` is a limiting binary product cone, and we have a terminal object,
then we have `IsPullback c.fst c.snd 0 0`
(where each `0` is the unique morphism to the terminal object). -/
theorem of_is_product {c : BinaryFan X Y} (h : Limits.IsLimit c) (t : IsTerminal Z) :
IsPullback c.fst c.snd (t.from _) (t.from _) :=
of_isLimit
(isPullbackOfIsTerminalIsProduct _ _ _ _ t
(IsLimit.ofIsoLimit h
(Limits.Cones.ext (Iso.refl c.pt)
(by
rintro ⟨⟨⟩⟩ <;>
· dsimp
simp))))
#align category_theory.is_pullback.of_is_product CategoryTheory.IsPullback.of_is_product
/-- A variant of `of_is_product` that is more useful with `apply`. -/
theorem of_is_product' (h : Limits.IsLimit (BinaryFan.mk fst snd)) (t : IsTerminal Z) :
IsPullback fst snd (t.from _) (t.from _) :=
of_is_product h t
#align category_theory.is_pullback.of_is_product' CategoryTheory.IsPullback.of_is_product'
variable (X Y)
theorem of_hasBinaryProduct' [HasBinaryProduct X Y] [HasTerminal C] :
IsPullback Limits.prod.fst Limits.prod.snd (terminal.from X) (terminal.from Y) :=
of_is_product (limit.isLimit _) terminalIsTerminal
#align category_theory.is_pullback.of_has_binary_product' CategoryTheory.IsPullback.of_hasBinaryProduct'
open ZeroObject
theorem of_hasBinaryProduct [HasBinaryProduct X Y] [HasZeroObject C] [HasZeroMorphisms C] :
IsPullback Limits.prod.fst Limits.prod.snd (0 : X ⟶ 0) (0 : Y ⟶ 0) := by
convert @of_is_product _ _ X Y 0 _ (limit.isLimit _) HasZeroObject.zeroIsTerminal
<;> apply Subsingleton.elim
#align category_theory.is_pullback.of_has_binary_product CategoryTheory.IsPullback.of_hasBinaryProduct
variable {X Y}
/-- Any object at the top left of a pullback square is
isomorphic to the pullback provided by the `HasLimit` API. -/
noncomputable def isoPullback (h : IsPullback fst snd f g) [HasPullback f g] : P ≅ pullback f g :=
(limit.isoLimitCone ⟨_, h.isLimit⟩).symm
#align category_theory.is_pullback.iso_pullback CategoryTheory.IsPullback.isoPullback
@[simp]
theorem isoPullback_hom_fst (h : IsPullback fst snd f g) [HasPullback f g] :
h.isoPullback.hom ≫ pullback.fst = fst := by
dsimp [isoPullback, cone, CommSq.cone]
simp
#align category_theory.is_pullback.iso_pullback_hom_fst CategoryTheory.IsPullback.isoPullback_hom_fst
@[simp]
theorem isoPullback_hom_snd (h : IsPullback fst snd f g) [HasPullback f g] :
h.isoPullback.hom ≫ pullback.snd = snd := by
dsimp [isoPullback, cone, CommSq.cone]
simp
#align category_theory.is_pullback.iso_pullback_hom_snd CategoryTheory.IsPullback.isoPullback_hom_snd
@[simp]
theorem isoPullback_inv_fst (h : IsPullback fst snd f g) [HasPullback f g] :
h.isoPullback.inv ≫ fst = pullback.fst := by simp [Iso.inv_comp_eq]
#align category_theory.is_pullback.iso_pullback_inv_fst CategoryTheory.IsPullback.isoPullback_inv_fst
@[simp]
theorem isoPullback_inv_snd (h : IsPullback fst snd f g) [HasPullback f g] :
h.isoPullback.inv ≫ snd = pullback.snd := by simp [Iso.inv_comp_eq]
#align category_theory.is_pullback.iso_pullback_inv_snd CategoryTheory.IsPullback.isoPullback_inv_snd
theorem of_iso_pullback (h : CommSq fst snd f g) [HasPullback f g] (i : P ≅ pullback f g)
(w₁ : i.hom ≫ pullback.fst = fst) (w₂ : i.hom ≫ pullback.snd = snd) : IsPullback fst snd f g :=
of_isLimit' h
(Limits.IsLimit.ofIsoLimit (limit.isLimit _)
(@PullbackCone.ext _ _ _ _ _ _ _ (PullbackCone.mk _ _ _) _ i w₁.symm w₂.symm).symm)
#align category_theory.is_pullback.of_iso_pullback CategoryTheory.IsPullback.of_iso_pullback
theorem of_horiz_isIso [IsIso fst] [IsIso g] (sq : CommSq fst snd f g) : IsPullback fst snd f g :=
of_isLimit' sq
(by
refine
PullbackCone.IsLimit.mk _ (fun s => s.fst ≫ inv fst) (by aesop_cat)
(fun s => ?_) (by aesop_cat)
simp only [← cancel_mono g, Category.assoc, ← sq.w, IsIso.inv_hom_id_assoc, s.condition])
#align category_theory.is_pullback.of_horiz_is_iso CategoryTheory.IsPullback.of_horiz_isIso
end IsPullback
namespace IsPushout
variable {Z X Y P : C} {f : Z ⟶ X} {g : Z ⟶ Y} {inl : X ⟶ P} {inr : Y ⟶ P}
/-- The (colimiting) `PushoutCocone f g` implicit in the statement
that we have an `IsPushout f g inl inr`.
-/
def cocone (h : IsPushout f g inl inr) : PushoutCocone f g :=
h.toCommSq.cocone
#align category_theory.is_pushout.cocone CategoryTheory.IsPushout.cocone
@[simp]
theorem cocone_inl (h : IsPushout f g inl inr) : h.cocone.inl = inl :=
rfl
#align category_theory.is_pushout.cocone_inl CategoryTheory.IsPushout.cocone_inl
@[simp]
theorem cocone_inr (h : IsPushout f g inl inr) : h.cocone.inr = inr :=
rfl
#align category_theory.is_pushout.cocone_inr CategoryTheory.IsPushout.cocone_inr
/-- The cocone obtained from `IsPushout f g inl inr` is a colimit cocone.
-/
noncomputable def isColimit (h : IsPushout f g inl inr) : IsColimit h.cocone :=
h.isColimit'.some
#align category_theory.is_pushout.is_colimit CategoryTheory.IsPushout.isColimit
/-- If `c` is a colimiting pushout cocone, then we have an `IsPushout f g c.inl c.inr`. -/
theorem of_isColimit {c : PushoutCocone f g} (h : Limits.IsColimit c) : IsPushout f g c.inl c.inr :=
{ w := c.condition
isColimit' :=
⟨IsColimit.ofIsoColimit h (Limits.PushoutCocone.ext (Iso.refl _)
(by aesop_cat) (by aesop_cat))⟩ }
#align category_theory.is_pushout.of_is_colimit CategoryTheory.IsPushout.of_isColimit
/-- A variant of `of_isColimit` that is more useful with `apply`. -/
theorem of_isColimit' (w : CommSq f g inl inr) (h : Limits.IsColimit w.cocone) :
IsPushout f g inl inr :=
of_isColimit h
#align category_theory.is_pushout.of_is_colimit' CategoryTheory.IsPushout.of_isColimit'
/-- The pushout provided by `HasPushout f g` fits into an `IsPushout`. -/
theorem of_hasPushout (f : Z ⟶ X) (g : Z ⟶ Y) [HasPushout f g] :
IsPushout f g (pushout.inl : X ⟶ pushout f g) (pushout.inr : Y ⟶ pushout f g) :=
of_isColimit (colimit.isColimit (span f g))
#align category_theory.is_pushout.of_has_pushout CategoryTheory.IsPushout.of_hasPushout
/-- If `c` is a colimiting binary coproduct cocone, and we have an initial object,
then we have `IsPushout 0 0 c.inl c.inr`
(where each `0` is the unique morphism from the initial object). -/
theorem of_is_coproduct {c : BinaryCofan X Y} (h : Limits.IsColimit c) (t : IsInitial Z) :
IsPushout (t.to _) (t.to _) c.inl c.inr :=
of_isColimit
(isPushoutOfIsInitialIsCoproduct _ _ _ _ t
(IsColimit.ofIsoColimit h
(Limits.Cocones.ext (Iso.refl c.pt)
(by
rintro ⟨⟨⟩⟩ <;>
· dsimp
simp))))
#align category_theory.is_pushout.of_is_coproduct CategoryTheory.IsPushout.of_is_coproduct
/-- A variant of `of_is_coproduct` that is more useful with `apply`. -/
theorem of_is_coproduct' (h : Limits.IsColimit (BinaryCofan.mk inl inr)) (t : IsInitial Z) :
IsPushout (t.to _) (t.to _) inl inr :=
of_is_coproduct h t
#align category_theory.is_pushout.of_is_coproduct' CategoryTheory.IsPushout.of_is_coproduct'
variable (X Y)
theorem of_hasBinaryCoproduct' [HasBinaryCoproduct X Y] [HasInitial C] :
IsPushout (initial.to _) (initial.to _) (coprod.inl : X ⟶ _) (coprod.inr : Y ⟶ _) :=
of_is_coproduct (colimit.isColimit _) initialIsInitial
#align category_theory.is_pushout.of_has_binary_coproduct' CategoryTheory.IsPushout.of_hasBinaryCoproduct'
open ZeroObject
theorem of_hasBinaryCoproduct [HasBinaryCoproduct X Y] [HasZeroObject C] [HasZeroMorphisms C] :
IsPushout (0 : 0 ⟶ X) (0 : 0 ⟶ Y) coprod.inl coprod.inr := by
convert @of_is_coproduct _ _ 0 X Y _ (colimit.isColimit _) HasZeroObject.zeroIsInitial
<;> apply Subsingleton.elim
#align category_theory.is_pushout.of_has_binary_coproduct CategoryTheory.IsPushout.of_hasBinaryCoproduct
variable {X Y}
/-- Any object at the top left of a pullback square is
isomorphic to the pullback provided by the `HasLimit` API. -/
noncomputable def isoPushout (h : IsPushout f g inl inr) [HasPushout f g] : P ≅ pushout f g :=
(colimit.isoColimitCocone ⟨_, h.isColimit⟩).symm
#align category_theory.is_pushout.iso_pushout CategoryTheory.IsPushout.isoPushout
@[simp]
| Mathlib/CategoryTheory/Limits/Shapes/CommSq.lean | 419 | 422 | theorem inl_isoPushout_inv (h : IsPushout f g inl inr) [HasPushout f g] :
pushout.inl ≫ h.isoPushout.inv = inl := by |
dsimp [isoPushout, cocone, CommSq.cocone]
simp
|
/-
Copyright (c) 2022 Rémy Degenne, Kexing Ying. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne, Kexing Ying
-/
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Mathlib.MeasureTheory.Function.Egorov
import Mathlib.MeasureTheory.Function.LpSpace
#align_import measure_theory.function.convergence_in_measure from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8"
/-!
# Convergence in measure
We define convergence in measure which is one of the many notions of convergence in probability.
A sequence of functions `f` is said to converge in measure to some function `g`
if for all `ε > 0`, the measure of the set `{x | ε ≤ dist (f i x) (g x)}` tends to 0 as `i`
converges along some given filter `l`.
Convergence in measure is most notably used in the formulation of the weak law of large numbers
and is also useful in theorems such as the Vitali convergence theorem. This file provides some
basic lemmas for working with convergence in measure and establishes some relations between
convergence in measure and other notions of convergence.
## Main definitions
* `MeasureTheory.TendstoInMeasure (μ : Measure α) (f : ι → α → E) (g : α → E)`: `f` converges
in `μ`-measure to `g`.
## Main results
* `MeasureTheory.tendstoInMeasure_of_tendsto_ae`: convergence almost everywhere in a finite
measure space implies convergence in measure.
* `MeasureTheory.TendstoInMeasure.exists_seq_tendsto_ae`: if `f` is a sequence of functions
which converges in measure to `g`, then `f` has a subsequence which convergence almost
everywhere to `g`.
* `MeasureTheory.tendstoInMeasure_of_tendsto_snorm`: convergence in Lp implies convergence
in measure.
-/
open TopologicalSpace Filter
open scoped NNReal ENNReal MeasureTheory Topology
namespace MeasureTheory
variable {α ι E : Type*} {m : MeasurableSpace α} {μ : Measure α}
/-- A sequence of functions `f` is said to converge in measure to some function `g` if for all
`ε > 0`, the measure of the set `{x | ε ≤ dist (f i x) (g x)}` tends to 0 as `i` converges along
some given filter `l`. -/
def TendstoInMeasure [Dist E] {_ : MeasurableSpace α} (μ : Measure α) (f : ι → α → E) (l : Filter ι)
(g : α → E) : Prop :=
∀ ε, 0 < ε → Tendsto (fun i => μ { x | ε ≤ dist (f i x) (g x) }) l (𝓝 0)
#align measure_theory.tendsto_in_measure MeasureTheory.TendstoInMeasure
theorem tendstoInMeasure_iff_norm [SeminormedAddCommGroup E] {l : Filter ι} {f : ι → α → E}
{g : α → E} :
TendstoInMeasure μ f l g ↔
∀ ε, 0 < ε → Tendsto (fun i => μ { x | ε ≤ ‖f i x - g x‖ }) l (𝓝 0) := by
simp_rw [TendstoInMeasure, dist_eq_norm]
#align measure_theory.tendsto_in_measure_iff_norm MeasureTheory.tendstoInMeasure_iff_norm
namespace TendstoInMeasure
variable [Dist E] {l : Filter ι} {f f' : ι → α → E} {g g' : α → E}
protected theorem congr' (h_left : ∀ᶠ i in l, f i =ᵐ[μ] f' i) (h_right : g =ᵐ[μ] g')
(h_tendsto : TendstoInMeasure μ f l g) : TendstoInMeasure μ f' l g' := by
intro ε hε
suffices
(fun i => μ { x | ε ≤ dist (f' i x) (g' x) }) =ᶠ[l] fun i => μ { x | ε ≤ dist (f i x) (g x) } by
rw [tendsto_congr' this]
exact h_tendsto ε hε
filter_upwards [h_left] with i h_ae_eq
refine measure_congr ?_
filter_upwards [h_ae_eq, h_right] with x hxf hxg
rw [eq_iff_iff]
change ε ≤ dist (f' i x) (g' x) ↔ ε ≤ dist (f i x) (g x)
rw [hxg, hxf]
#align measure_theory.tendsto_in_measure.congr' MeasureTheory.TendstoInMeasure.congr'
protected theorem congr (h_left : ∀ i, f i =ᵐ[μ] f' i) (h_right : g =ᵐ[μ] g')
(h_tendsto : TendstoInMeasure μ f l g) : TendstoInMeasure μ f' l g' :=
TendstoInMeasure.congr' (eventually_of_forall h_left) h_right h_tendsto
#align measure_theory.tendsto_in_measure.congr MeasureTheory.TendstoInMeasure.congr
theorem congr_left (h : ∀ i, f i =ᵐ[μ] f' i) (h_tendsto : TendstoInMeasure μ f l g) :
TendstoInMeasure μ f' l g :=
h_tendsto.congr h EventuallyEq.rfl
#align measure_theory.tendsto_in_measure.congr_left MeasureTheory.TendstoInMeasure.congr_left
theorem congr_right (h : g =ᵐ[μ] g') (h_tendsto : TendstoInMeasure μ f l g) :
TendstoInMeasure μ f l g' :=
h_tendsto.congr (fun _ => EventuallyEq.rfl) h
#align measure_theory.tendsto_in_measure.congr_right MeasureTheory.TendstoInMeasure.congr_right
end TendstoInMeasure
section ExistsSeqTendstoAe
variable [MetricSpace E]
variable {f : ℕ → α → E} {g : α → E}
/-- Auxiliary lemma for `tendstoInMeasure_of_tendsto_ae`. -/
theorem tendstoInMeasure_of_tendsto_ae_of_stronglyMeasurable [IsFiniteMeasure μ]
(hf : ∀ n, StronglyMeasurable (f n)) (hg : StronglyMeasurable g)
(hfg : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 (g x))) : TendstoInMeasure μ f atTop g := by
refine fun ε hε => ENNReal.tendsto_atTop_zero.mpr fun δ hδ => ?_
by_cases hδi : δ = ∞
· simp only [hδi, imp_true_iff, le_top, exists_const]
lift δ to ℝ≥0 using hδi
rw [gt_iff_lt, ENNReal.coe_pos, ← NNReal.coe_pos] at hδ
obtain ⟨t, _, ht, hunif⟩ := tendstoUniformlyOn_of_ae_tendsto' hf hg hfg hδ
rw [ENNReal.ofReal_coe_nnreal] at ht
rw [Metric.tendstoUniformlyOn_iff] at hunif
obtain ⟨N, hN⟩ := eventually_atTop.1 (hunif ε hε)
refine ⟨N, fun n hn => ?_⟩
suffices { x : α | ε ≤ dist (f n x) (g x) } ⊆ t from (measure_mono this).trans ht
rw [← Set.compl_subset_compl]
intro x hx
rw [Set.mem_compl_iff, Set.nmem_setOf_iff, dist_comm, not_le]
exact hN n hn x hx
#align measure_theory.tendsto_in_measure_of_tendsto_ae_of_strongly_measurable MeasureTheory.tendstoInMeasure_of_tendsto_ae_of_stronglyMeasurable
/-- Convergence a.e. implies convergence in measure in a finite measure space. -/
theorem tendstoInMeasure_of_tendsto_ae [IsFiniteMeasure μ] (hf : ∀ n, AEStronglyMeasurable (f n) μ)
(hfg : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 (g x))) : TendstoInMeasure μ f atTop g := by
have hg : AEStronglyMeasurable g μ := aestronglyMeasurable_of_tendsto_ae _ hf hfg
refine TendstoInMeasure.congr (fun i => (hf i).ae_eq_mk.symm) hg.ae_eq_mk.symm ?_
refine tendstoInMeasure_of_tendsto_ae_of_stronglyMeasurable
(fun i => (hf i).stronglyMeasurable_mk) hg.stronglyMeasurable_mk ?_
have hf_eq_ae : ∀ᵐ x ∂μ, ∀ n, (hf n).mk (f n) x = f n x :=
ae_all_iff.mpr fun n => (hf n).ae_eq_mk.symm
filter_upwards [hf_eq_ae, hg.ae_eq_mk, hfg] with x hxf hxg hxfg
rw [← hxg, funext fun n => hxf n]
exact hxfg
#align measure_theory.tendsto_in_measure_of_tendsto_ae MeasureTheory.tendstoInMeasure_of_tendsto_ae
namespace ExistsSeqTendstoAe
theorem exists_nat_measure_lt_two_inv (hfg : TendstoInMeasure μ f atTop g) (n : ℕ) :
∃ N, ∀ m ≥ N, μ { x | (2 : ℝ)⁻¹ ^ n ≤ dist (f m x) (g x) } ≤ (2⁻¹ : ℝ≥0∞) ^ n := by
specialize hfg ((2⁻¹ : ℝ) ^ n) (by simp only [Real.rpow_natCast, inv_pos, zero_lt_two, pow_pos])
rw [ENNReal.tendsto_atTop_zero] at hfg
exact hfg ((2 : ℝ≥0∞)⁻¹ ^ n) (pos_iff_ne_zero.mpr fun h_zero => by simpa using pow_eq_zero h_zero)
#align measure_theory.exists_seq_tendsto_ae.exists_nat_measure_lt_two_inv MeasureTheory.ExistsSeqTendstoAe.exists_nat_measure_lt_two_inv
/-- Given a sequence of functions `f` which converges in measure to `g`,
`seqTendstoAeSeqAux` is a sequence such that
`∀ m ≥ seqTendstoAeSeqAux n, μ {x | 2⁻¹ ^ n ≤ dist (f m x) (g x)} ≤ 2⁻¹ ^ n`. -/
noncomputable def seqTendstoAeSeqAux (hfg : TendstoInMeasure μ f atTop g) (n : ℕ) :=
Classical.choose (exists_nat_measure_lt_two_inv hfg n)
#align measure_theory.exists_seq_tendsto_ae.seq_tendsto_ae_seq_aux MeasureTheory.ExistsSeqTendstoAe.seqTendstoAeSeqAux
/-- Transformation of `seqTendstoAeSeqAux` to makes sure it is strictly monotone. -/
noncomputable def seqTendstoAeSeq (hfg : TendstoInMeasure μ f atTop g) : ℕ → ℕ
| 0 => seqTendstoAeSeqAux hfg 0
| n + 1 => max (seqTendstoAeSeqAux hfg (n + 1)) (seqTendstoAeSeq hfg n + 1)
#align measure_theory.exists_seq_tendsto_ae.seq_tendsto_ae_seq MeasureTheory.ExistsSeqTendstoAe.seqTendstoAeSeq
theorem seqTendstoAeSeq_succ (hfg : TendstoInMeasure μ f atTop g) {n : ℕ} :
seqTendstoAeSeq hfg (n + 1) =
max (seqTendstoAeSeqAux hfg (n + 1)) (seqTendstoAeSeq hfg n + 1) := by
rw [seqTendstoAeSeq]
#align measure_theory.exists_seq_tendsto_ae.seq_tendsto_ae_seq_succ MeasureTheory.ExistsSeqTendstoAe.seqTendstoAeSeq_succ
| Mathlib/MeasureTheory/Function/ConvergenceInMeasure.lean | 169 | 175 | theorem seqTendstoAeSeq_spec (hfg : TendstoInMeasure μ f atTop g) (n k : ℕ)
(hn : seqTendstoAeSeq hfg n ≤ k) :
μ { x | (2 : ℝ)⁻¹ ^ n ≤ dist (f k x) (g x) } ≤ (2 : ℝ≥0∞)⁻¹ ^ n := by |
cases n
· exact Classical.choose_spec (exists_nat_measure_lt_two_inv hfg 0) k hn
· exact Classical.choose_spec
(exists_nat_measure_lt_two_inv hfg _) _ (le_trans (le_max_left _ _) hn)
|
/-
Copyright (c) 2021 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Riccardo Brasca, Johan Commelin, Scott Morrison
-/
import Mathlib.Analysis.Normed.Group.SemiNormedGroupCat
import Mathlib.Analysis.Normed.Group.Quotient
import Mathlib.CategoryTheory.Limits.Shapes.Kernels
#align_import analysis.normed.group.SemiNormedGroup.kernels from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3"
/-!
# Kernels and cokernels in SemiNormedGroupCat₁ and SemiNormedGroupCat
We show that `SemiNormedGroupCat₁` has cokernels
(for which of course the `cokernel.π f` maps are norm non-increasing),
as well as the easier result that `SemiNormedGroupCat` has cokernels. We also show that
`SemiNormedGroupCat` has kernels.
So far, I don't see a way to state nicely what we really want:
`SemiNormedGroupCat` has cokernels, and `cokernel.π f` is norm non-increasing.
The problem is that the limits API doesn't promise you any particular model of the cokernel,
and in `SemiNormedGroupCat` one can always take a cokernel and rescale its norm
(and hence making `cokernel.π f` arbitrarily large in norm), obtaining another categorical cokernel.
-/
open CategoryTheory CategoryTheory.Limits
universe u
namespace SemiNormedGroupCat₁
noncomputable section
/-- Auxiliary definition for `HasCokernels SemiNormedGroupCat₁`. -/
def cokernelCocone {X Y : SemiNormedGroupCat₁.{u}} (f : X ⟶ Y) : Cofork f 0 :=
Cofork.ofπ
(@SemiNormedGroupCat₁.mkHom _ (SemiNormedGroupCat.of (Y ⧸ NormedAddGroupHom.range f.1))
f.1.range.normedMk (NormedAddGroupHom.isQuotientQuotient _).norm_le)
(by
ext x
-- Porting note(https://github.com/leanprover-community/mathlib4/issues/5026): was
-- simp only [comp_apply, Limits.zero_comp, NormedAddGroupHom.zero_apply,
-- SemiNormedGroupCat₁.mkHom_apply, SemiNormedGroupCat₁.zero_apply,
-- ← NormedAddGroupHom.mem_ker, f.1.range.ker_normedMk, f.1.mem_range]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [Limits.zero_comp, comp_apply, SemiNormedGroupCat₁.mkHom_apply,
SemiNormedGroupCat₁.zero_apply, ← NormedAddGroupHom.mem_ker, f.1.range.ker_normedMk,
f.1.mem_range]
use x
rfl)
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup₁.cokernel_cocone SemiNormedGroupCat₁.cokernelCocone
/-- Auxiliary definition for `HasCokernels SemiNormedGroupCat₁`. -/
def cokernelLift {X Y : SemiNormedGroupCat₁.{u}} (f : X ⟶ Y) (s : CokernelCofork f) :
(cokernelCocone f).pt ⟶ s.pt := by
fconstructor
-- The lift itself:
· apply NormedAddGroupHom.lift _ s.π.1
rintro _ ⟨b, rfl⟩
change (f ≫ s.π) b = 0
simp
-- This used to be the end of the proof before leanprover/lean4#2644
erw [zero_apply]
-- The lift has norm at most one:
exact NormedAddGroupHom.lift_normNoninc _ _ _ s.π.2
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup₁.cokernel_lift SemiNormedGroupCat₁.cokernelLift
instance : HasCokernels SemiNormedGroupCat₁.{u} where
has_colimit f :=
HasColimit.mk
{ cocone := cokernelCocone f
isColimit :=
isColimitAux _ (cokernelLift f)
(fun s => by
ext
apply NormedAddGroupHom.lift_mk f.1.range
rintro _ ⟨b, rfl⟩
change (f ≫ s.π) b = 0
simp
-- This used to be the end of the proof before leanprover/lean4#2644
erw [zero_apply])
fun s m w =>
Subtype.eq
(NormedAddGroupHom.lift_unique f.1.range _ _ _ (congr_arg Subtype.val w : _)) }
-- Sanity check
example : HasCokernels SemiNormedGroupCat₁ := by infer_instance
end
end SemiNormedGroupCat₁
namespace SemiNormedGroupCat
section EqualizersAndKernels
-- Porting note: these weren't needed in Lean 3
instance {V W : SemiNormedGroupCat.{u}} : Sub (V ⟶ W) :=
(inferInstance : Sub (NormedAddGroupHom V W))
noncomputable instance {V W : SemiNormedGroupCat.{u}} : Norm (V ⟶ W) :=
(inferInstance : Norm (NormedAddGroupHom V W))
noncomputable instance {V W : SemiNormedGroupCat.{u}} : NNNorm (V ⟶ W) :=
(inferInstance : NNNorm (NormedAddGroupHom V W))
/-- The equalizer cone for a parallel pair of morphisms of seminormed groups. -/
def fork {V W : SemiNormedGroupCat.{u}} (f g : V ⟶ W) : Fork f g :=
@Fork.ofι _ _ _ _ _ _ (of (f - g : NormedAddGroupHom V W).ker)
(NormedAddGroupHom.incl (f - g).ker) <| by
-- Porting note: not needed in mathlib3
change NormedAddGroupHom V W at f g
ext v
have : v.1 ∈ (f - g).ker := v.2
simpa only [NormedAddGroupHom.incl_apply, Pi.zero_apply, coe_comp, NormedAddGroupHom.coe_zero,
NormedAddGroupHom.mem_ker, NormedAddGroupHom.coe_sub, Pi.sub_apply,
sub_eq_zero] using this
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.fork SemiNormedGroupCat.fork
instance hasLimit_parallelPair {V W : SemiNormedGroupCat.{u}} (f g : V ⟶ W) :
HasLimit (parallelPair f g) where
exists_limit :=
Nonempty.intro
{ cone := fork f g
isLimit :=
Fork.IsLimit.mk _
(fun c =>
NormedAddGroupHom.ker.lift (Fork.ι c) _ <|
show NormedAddGroupHom.compHom (f - g) c.ι = 0 by
rw [AddMonoidHom.map_sub, AddMonoidHom.sub_apply, sub_eq_zero]; exact c.condition)
(fun c => NormedAddGroupHom.ker.incl_comp_lift _ _ _) fun c g h => by
-- Porting note: the `simp_rw` was was `rw [← h]` but motive is not type correct in mathlib4
ext x; dsimp; simp_rw [← h]; rfl}
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.has_limit_parallel_pair SemiNormedGroupCat.hasLimit_parallelPair
instance : Limits.HasEqualizers.{u, u + 1} SemiNormedGroupCat :=
@hasEqualizers_of_hasLimit_parallelPair SemiNormedGroupCat _ fun {_ _ f g} =>
SemiNormedGroupCat.hasLimit_parallelPair f g
end EqualizersAndKernels
section Cokernel
-- PROJECT: can we reuse the work to construct cokernels in `SemiNormedGroupCat₁` here?
-- I don't see a way to do this that is less work than just repeating the relevant parts.
/-- Auxiliary definition for `HasCokernels SemiNormedGroupCat`. -/
noncomputable
def cokernelCocone {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) : Cofork f 0 :=
@Cofork.ofπ _ _ _ _ _ _ (SemiNormedGroupCat.of (Y ⧸ NormedAddGroupHom.range f)) f.range.normedMk
(by
ext a
simp only [comp_apply, Limits.zero_comp]
-- Porting note: `simp` not firing on the below
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [comp_apply, NormedAddGroupHom.zero_apply]
-- Porting note: Lean 3 didn't need this instance
letI : SeminormedAddCommGroup ((forget SemiNormedGroupCat).obj Y) :=
(inferInstance : SeminormedAddCommGroup Y)
-- Porting note: again simp doesn't seem to be firing in the below line
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [← NormedAddGroupHom.mem_ker, f.range.ker_normedMk, f.mem_range]
-- This used to be `simp only [exists_apply_eq_apply]` before leanprover/lean4#2644
convert exists_apply_eq_apply f a)
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.cokernel_cocone SemiNormedGroupCat.cokernelCocone
/-- Auxiliary definition for `HasCokernels SemiNormedGroupCat`. -/
noncomputable
def cokernelLift {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) (s : CokernelCofork f) :
(cokernelCocone f).pt ⟶ s.pt :=
NormedAddGroupHom.lift _ s.π
(by
rintro _ ⟨b, rfl⟩
change (f ≫ s.π) b = 0
simp
-- This used to be the end of the proof before leanprover/lean4#2644
erw [zero_apply])
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.cokernel_lift SemiNormedGroupCat.cokernelLift
/-- Auxiliary definition for `HasCokernels SemiNormedGroupCat`. -/
noncomputable
def isColimitCokernelCocone {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) :
IsColimit (cokernelCocone f) :=
isColimitAux _ (cokernelLift f)
(fun s => by
ext
apply NormedAddGroupHom.lift_mk f.range
rintro _ ⟨b, rfl⟩
change (f ≫ s.π) b = 0
simp
-- This used to be the end of the proof before leanprover/lean4#2644
erw [zero_apply])
fun s m w => NormedAddGroupHom.lift_unique f.range _ _ _ w
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.is_colimit_cokernel_cocone SemiNormedGroupCat.isColimitCokernelCocone
instance : HasCokernels SemiNormedGroupCat.{u} where
has_colimit f :=
HasColimit.mk
{ cocone := cokernelCocone f
isColimit := isColimitCokernelCocone f }
-- Sanity check
example : HasCokernels SemiNormedGroupCat := by infer_instance
section ExplicitCokernel
/-- An explicit choice of cokernel, which has good properties with respect to the norm. -/
noncomputable
def explicitCokernel {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) : SemiNormedGroupCat.{u} :=
(cokernelCocone f).pt
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel SemiNormedGroupCat.explicitCokernel
/-- Descend to the explicit cokernel. -/
noncomputable
def explicitCokernelDesc {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z} (w : f ≫ g = 0) :
explicitCokernel f ⟶ Z :=
(isColimitCokernelCocone f).desc (Cofork.ofπ g (by simp [w]))
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc SemiNormedGroupCat.explicitCokernelDesc
/-- The projection from `Y` to the explicit cokernel of `X ⟶ Y`. -/
noncomputable
def explicitCokernelπ {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) : Y ⟶ explicitCokernel f :=
(cokernelCocone f).ι.app WalkingParallelPair.one
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_π SemiNormedGroupCat.explicitCokernelπ
theorem explicitCokernelπ_surjective {X Y : SemiNormedGroupCat.{u}} {f : X ⟶ Y} :
Function.Surjective (explicitCokernelπ f) :=
surjective_quot_mk _
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_π_surjective SemiNormedGroupCat.explicitCokernelπ_surjective
@[simp, reassoc]
theorem comp_explicitCokernelπ {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) :
f ≫ explicitCokernelπ f = 0 := by
convert (cokernelCocone f).w WalkingParallelPairHom.left
simp
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.comp_explicit_cokernel_π SemiNormedGroupCat.comp_explicitCokernelπ
-- Porting note: wasn't necessary in Lean 3. Is this a bug?
attribute [simp] comp_explicitCokernelπ_assoc
@[simp]
theorem explicitCokernelπ_apply_dom_eq_zero {X Y : SemiNormedGroupCat.{u}} {f : X ⟶ Y} (x : X) :
(explicitCokernelπ f) (f x) = 0 :=
show (f ≫ explicitCokernelπ f) x = 0 by rw [comp_explicitCokernelπ]; rfl
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_π_apply_dom_eq_zero SemiNormedGroupCat.explicitCokernelπ_apply_dom_eq_zero
@[simp, reassoc]
theorem explicitCokernelπ_desc {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
(w : f ≫ g = 0) : explicitCokernelπ f ≫ explicitCokernelDesc w = g :=
(isColimitCokernelCocone f).fac _ _
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_π_desc SemiNormedGroupCat.explicitCokernelπ_desc
@[simp]
theorem explicitCokernelπ_desc_apply {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
{cond : f ≫ g = 0} (x : Y) : explicitCokernelDesc cond (explicitCokernelπ f x) = g x :=
show (explicitCokernelπ f ≫ explicitCokernelDesc cond) x = g x by rw [explicitCokernelπ_desc]
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_π_desc_apply SemiNormedGroupCat.explicitCokernelπ_desc_apply
theorem explicitCokernelDesc_unique {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
(w : f ≫ g = 0) (e : explicitCokernel f ⟶ Z) (he : explicitCokernelπ f ≫ e = g) :
e = explicitCokernelDesc w := by
apply (isColimitCokernelCocone f).uniq (Cofork.ofπ g (by simp [w]))
rintro (_ | _)
· convert w.symm
simp
· exact he
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc_unique SemiNormedGroupCat.explicitCokernelDesc_unique
theorem explicitCokernelDesc_comp_eq_desc {X Y Z W : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
-- Porting note: renamed `cond` to `cond'` to avoid
-- failed to rewrite using equation theorems for 'cond'
{h : Z ⟶ W} {cond' : f ≫ g = 0} :
explicitCokernelDesc cond' ≫ h =
explicitCokernelDesc
(show f ≫ g ≫ h = 0 by rw [← CategoryTheory.Category.assoc, cond', Limits.zero_comp]) := by
refine explicitCokernelDesc_unique _ _ ?_
rw [← CategoryTheory.Category.assoc, explicitCokernelπ_desc]
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc_comp_eq_desc SemiNormedGroupCat.explicitCokernelDesc_comp_eq_desc
@[simp]
theorem explicitCokernelDesc_zero {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} :
explicitCokernelDesc (show f ≫ (0 : Y ⟶ Z) = 0 from CategoryTheory.Limits.comp_zero) = 0 :=
Eq.symm <| explicitCokernelDesc_unique _ _ CategoryTheory.Limits.comp_zero
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc_zero SemiNormedGroupCat.explicitCokernelDesc_zero
@[ext]
theorem explicitCokernel_hom_ext {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y}
(e₁ e₂ : explicitCokernel f ⟶ Z) (h : explicitCokernelπ f ≫ e₁ = explicitCokernelπ f ≫ e₂) :
e₁ = e₂ := by
let g : Y ⟶ Z := explicitCokernelπ f ≫ e₂
have w : f ≫ g = 0 := by simp [g]
have : e₂ = explicitCokernelDesc w := by apply explicitCokernelDesc_unique; rfl
rw [this]
apply explicitCokernelDesc_unique
exact h
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_hom_ext SemiNormedGroupCat.explicitCokernel_hom_ext
instance explicitCokernelπ.epi {X Y : SemiNormedGroupCat.{u}} {f : X ⟶ Y} :
Epi (explicitCokernelπ f) := by
constructor
intro Z g h H
ext x
-- Porting note: no longer needed
-- obtain ⟨x, hx⟩ := explicitCokernelπ_surjective (explicitCokernelπ f x)
-- change (explicitCokernelπ f ≫ g) _ = _
rw [H]
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_π.epi SemiNormedGroupCat.explicitCokernelπ.epi
theorem isQuotient_explicitCokernelπ {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) :
NormedAddGroupHom.IsQuotient (explicitCokernelπ f) :=
NormedAddGroupHom.isQuotientQuotient _
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.is_quotient_explicit_cokernel_π SemiNormedGroupCat.isQuotient_explicitCokernelπ
theorem normNoninc_explicitCokernelπ {X Y : SemiNormedGroupCat.{u}} (f : X ⟶ Y) :
(explicitCokernelπ f).NormNoninc :=
(isQuotient_explicitCokernelπ f).norm_le
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.norm_noninc_explicit_cokernel_π SemiNormedGroupCat.normNoninc_explicitCokernelπ
open scoped NNReal
theorem explicitCokernelDesc_norm_le_of_norm_le {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y}
{g : Y ⟶ Z} (w : f ≫ g = 0) (c : ℝ≥0) (h : ‖g‖ ≤ c) : ‖explicitCokernelDesc w‖ ≤ c :=
NormedAddGroupHom.lift_norm_le _ _ _ h
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc_norm_le_of_norm_le SemiNormedGroupCat.explicitCokernelDesc_norm_le_of_norm_le
theorem explicitCokernelDesc_normNoninc {X Y Z : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
{cond : f ≫ g = 0} (hg : g.NormNoninc) : (explicitCokernelDesc cond).NormNoninc := by
refine NormedAddGroupHom.NormNoninc.normNoninc_iff_norm_le_one.2 ?_
rw [← NNReal.coe_one]
exact
explicitCokernelDesc_norm_le_of_norm_le cond 1
(NormedAddGroupHom.NormNoninc.normNoninc_iff_norm_le_one.1 hg)
set_option linter.uppercaseLean3 false in
#align SemiNormedGroup.explicit_cokernel_desc_norm_noninc SemiNormedGroupCat.explicitCokernelDesc_normNoninc
| Mathlib/Analysis/Normed/Group/SemiNormedGroupCat/Kernels.lean | 358 | 361 | theorem explicitCokernelDesc_comp_eq_zero {X Y Z W : SemiNormedGroupCat.{u}} {f : X ⟶ Y} {g : Y ⟶ Z}
{h : Z ⟶ W} (cond : f ≫ g = 0) (cond2 : g ≫ h = 0) : explicitCokernelDesc cond ≫ h = 0 := by |
rw [← cancel_epi (explicitCokernelπ f), ← Category.assoc, explicitCokernelπ_desc]
simp [cond2]
|
/-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.Data.Finsupp.Encodable
import Mathlib.LinearAlgebra.Pi
import Mathlib.LinearAlgebra.Span
import Mathlib.Data.Set.Countable
#align_import linear_algebra.finsupp from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb"
/-!
# Properties of the module `α →₀ M`
Given an `R`-module `M`, the `R`-module structure on `α →₀ M` is defined in
`Data.Finsupp.Basic`.
In this file we define `Finsupp.supported s` to be the set `{f : α →₀ M | f.support ⊆ s}`
interpreted as a submodule of `α →₀ M`. We also define `LinearMap` versions of various maps:
* `Finsupp.lsingle a : M →ₗ[R] ι →₀ M`: `Finsupp.single a` as a linear map;
* `Finsupp.lapply a : (ι →₀ M) →ₗ[R] M`: the map `fun f ↦ f a` as a linear map;
* `Finsupp.lsubtypeDomain (s : Set α) : (α →₀ M) →ₗ[R] (s →₀ M)`: restriction to a subtype as a
linear map;
* `Finsupp.restrictDom`: `Finsupp.filter` as a linear map to `Finsupp.supported s`;
* `Finsupp.lsum`: `Finsupp.sum` or `Finsupp.liftAddHom` as a `LinearMap`;
* `Finsupp.total α M R (v : ι → M)`: sends `l : ι → R` to the linear combination of `v i` with
coefficients `l i`;
* `Finsupp.totalOn`: a restricted version of `Finsupp.total` with domain `Finsupp.supported R R s`
and codomain `Submodule.span R (v '' s)`;
* `Finsupp.supportedEquivFinsupp`: a linear equivalence between the functions `α →₀ M` supported
on `s` and the functions `s →₀ M`;
* `Finsupp.lmapDomain`: a linear map version of `Finsupp.mapDomain`;
* `Finsupp.domLCongr`: a `LinearEquiv` version of `Finsupp.domCongr`;
* `Finsupp.congr`: if the sets `s` and `t` are equivalent, then `supported M R s` is equivalent to
`supported M R t`;
* `Finsupp.lcongr`: a `LinearEquiv`alence between `α →₀ M` and `β →₀ N` constructed using
`e : α ≃ β` and `e' : M ≃ₗ[R] N`.
## Tags
function with finite support, module, linear algebra
-/
noncomputable section
open Set LinearMap Submodule
namespace Finsupp
section SMul
variable {α : Type*} {β : Type*} {R : Type*} {M : Type*} {M₂ : Type*}
theorem smul_sum [Zero β] [AddCommMonoid M] [DistribSMul R M] {v : α →₀ β} {c : R} {h : α → β → M} :
c • v.sum h = v.sum fun a b => c • h a b :=
Finset.smul_sum
#align finsupp.smul_sum Finsupp.smul_sum
@[simp]
theorem sum_smul_index_linearMap' [Semiring R] [AddCommMonoid M] [Module R M] [AddCommMonoid M₂]
[Module R M₂] {v : α →₀ M} {c : R} {h : α → M →ₗ[R] M₂} :
((c • v).sum fun a => h a) = c • v.sum fun a => h a := by
rw [Finsupp.sum_smul_index', Finsupp.smul_sum]
· simp only [map_smul]
· intro i
exact (h i).map_zero
#align finsupp.sum_smul_index_linear_map' Finsupp.sum_smul_index_linearMap'
end SMul
section LinearEquivFunOnFinite
variable (R : Type*) {S : Type*} (M : Type*) (α : Type*)
variable [Finite α] [AddCommMonoid M] [Semiring R] [Module R M]
/-- Given `Finite α`, `linearEquivFunOnFinite R` is the natural `R`-linear equivalence between
`α →₀ β` and `α → β`. -/
@[simps apply]
noncomputable def linearEquivFunOnFinite : (α →₀ M) ≃ₗ[R] α → M :=
{ equivFunOnFinite with
toFun := (⇑)
map_add' := fun _ _ => rfl
map_smul' := fun _ _ => rfl }
#align finsupp.linear_equiv_fun_on_finite Finsupp.linearEquivFunOnFinite
@[simp]
theorem linearEquivFunOnFinite_single [DecidableEq α] (x : α) (m : M) :
(linearEquivFunOnFinite R M α) (single x m) = Pi.single x m :=
equivFunOnFinite_single x m
#align finsupp.linear_equiv_fun_on_finite_single Finsupp.linearEquivFunOnFinite_single
@[simp]
theorem linearEquivFunOnFinite_symm_single [DecidableEq α] (x : α) (m : M) :
(linearEquivFunOnFinite R M α).symm (Pi.single x m) = single x m :=
equivFunOnFinite_symm_single x m
#align finsupp.linear_equiv_fun_on_finite_symm_single Finsupp.linearEquivFunOnFinite_symm_single
@[simp]
theorem linearEquivFunOnFinite_symm_coe (f : α →₀ M) : (linearEquivFunOnFinite R M α).symm f = f :=
(linearEquivFunOnFinite R M α).symm_apply_apply f
#align finsupp.linear_equiv_fun_on_finite_symm_coe Finsupp.linearEquivFunOnFinite_symm_coe
end LinearEquivFunOnFinite
section LinearEquiv.finsuppUnique
variable (R : Type*) {S : Type*} (M : Type*)
variable [AddCommMonoid M] [Semiring R] [Module R M]
variable (α : Type*) [Unique α]
/-- If `α` has a unique term, then the type of finitely supported functions `α →₀ M` is
`R`-linearly equivalent to `M`. -/
noncomputable def LinearEquiv.finsuppUnique : (α →₀ M) ≃ₗ[R] M :=
{ Finsupp.equivFunOnFinite.trans (Equiv.funUnique α M) with
map_add' := fun _ _ => rfl
map_smul' := fun _ _ => rfl }
#align finsupp.linear_equiv.finsupp_unique Finsupp.LinearEquiv.finsuppUnique
variable {R M}
@[simp]
theorem LinearEquiv.finsuppUnique_apply (f : α →₀ M) :
LinearEquiv.finsuppUnique R M α f = f default :=
rfl
#align finsupp.linear_equiv.finsupp_unique_apply Finsupp.LinearEquiv.finsuppUnique_apply
variable {α}
@[simp]
theorem LinearEquiv.finsuppUnique_symm_apply [Unique α] (m : M) :
(LinearEquiv.finsuppUnique R M α).symm m = Finsupp.single default m := by
ext; simp [LinearEquiv.finsuppUnique, Equiv.funUnique, single, Pi.single,
equivFunOnFinite, Function.update]
#align finsupp.linear_equiv.finsupp_unique_symm_apply Finsupp.LinearEquiv.finsuppUnique_symm_apply
end LinearEquiv.finsuppUnique
variable {α : Type*} {M : Type*} {N : Type*} {P : Type*} {R : Type*} {S : Type*}
variable [Semiring R] [Semiring S] [AddCommMonoid M] [Module R M]
variable [AddCommMonoid N] [Module R N]
variable [AddCommMonoid P] [Module R P]
/-- Interpret `Finsupp.single a` as a linear map. -/
def lsingle (a : α) : M →ₗ[R] α →₀ M :=
{ Finsupp.singleAddHom a with map_smul' := fun _ _ => (smul_single _ _ _).symm }
#align finsupp.lsingle Finsupp.lsingle
/-- Two `R`-linear maps from `Finsupp X M` which agree on each `single x y` agree everywhere. -/
theorem lhom_ext ⦃φ ψ : (α →₀ M) →ₗ[R] N⦄ (h : ∀ a b, φ (single a b) = ψ (single a b)) : φ = ψ :=
LinearMap.toAddMonoidHom_injective <| addHom_ext h
#align finsupp.lhom_ext Finsupp.lhom_ext
/-- Two `R`-linear maps from `Finsupp X M` which agree on each `single x y` agree everywhere.
We formulate this fact using equality of linear maps `φ.comp (lsingle a)` and `ψ.comp (lsingle a)`
so that the `ext` tactic can apply a type-specific extensionality lemma to prove equality of these
maps. E.g., if `M = R`, then it suffices to verify `φ (single a 1) = ψ (single a 1)`. -/
-- Porting note: The priority should be higher than `LinearMap.ext`.
@[ext high]
theorem lhom_ext' ⦃φ ψ : (α →₀ M) →ₗ[R] N⦄ (h : ∀ a, φ.comp (lsingle a) = ψ.comp (lsingle a)) :
φ = ψ :=
lhom_ext fun a => LinearMap.congr_fun (h a)
#align finsupp.lhom_ext' Finsupp.lhom_ext'
/-- Interpret `fun f : α →₀ M ↦ f a` as a linear map. -/
def lapply (a : α) : (α →₀ M) →ₗ[R] M :=
{ Finsupp.applyAddHom a with map_smul' := fun _ _ => rfl }
#align finsupp.lapply Finsupp.lapply
section CompatibleSMul
variable (R S M N ι : Type*)
variable [Semiring S] [AddCommMonoid M] [AddCommMonoid N] [Module S M] [Module S N]
instance _root_.LinearMap.CompatibleSMul.finsupp_dom [SMulZeroClass R M] [DistribSMul R N]
[LinearMap.CompatibleSMul M N R S] : LinearMap.CompatibleSMul (ι →₀ M) N R S where
map_smul f r m := by
conv_rhs => rw [← sum_single m, map_finsupp_sum, smul_sum]
erw [← sum_single (r • m), sum_mapRange_index single_zero, map_finsupp_sum]
congr; ext i m; exact (f.comp <| lsingle i).map_smul_of_tower r m
instance _root_.LinearMap.CompatibleSMul.finsupp_cod [SMul R M] [SMulZeroClass R N]
[LinearMap.CompatibleSMul M N R S] : LinearMap.CompatibleSMul M (ι →₀ N) R S where
map_smul f r m := by ext i; apply ((lapply i).comp f).map_smul_of_tower
end CompatibleSMul
/-- Forget that a function is finitely supported.
This is the linear version of `Finsupp.toFun`. -/
@[simps]
def lcoeFun : (α →₀ M) →ₗ[R] α → M where
toFun := (⇑)
map_add' x y := by
ext
simp
map_smul' x y := by
ext
simp
#align finsupp.lcoe_fun Finsupp.lcoeFun
section LSubtypeDomain
variable (s : Set α)
/-- Interpret `Finsupp.subtypeDomain s` as a linear map. -/
def lsubtypeDomain : (α →₀ M) →ₗ[R] s →₀ M where
toFun := subtypeDomain fun x => x ∈ s
map_add' _ _ := subtypeDomain_add
map_smul' _ _ := ext fun _ => rfl
#align finsupp.lsubtype_domain Finsupp.lsubtypeDomain
theorem lsubtypeDomain_apply (f : α →₀ M) :
(lsubtypeDomain s : (α →₀ M) →ₗ[R] s →₀ M) f = subtypeDomain (fun x => x ∈ s) f :=
rfl
#align finsupp.lsubtype_domain_apply Finsupp.lsubtypeDomain_apply
end LSubtypeDomain
@[simp]
theorem lsingle_apply (a : α) (b : M) : (lsingle a : M →ₗ[R] α →₀ M) b = single a b :=
rfl
#align finsupp.lsingle_apply Finsupp.lsingle_apply
@[simp]
theorem lapply_apply (a : α) (f : α →₀ M) : (lapply a : (α →₀ M) →ₗ[R] M) f = f a :=
rfl
#align finsupp.lapply_apply Finsupp.lapply_apply
@[simp]
theorem lapply_comp_lsingle_same (a : α) : lapply a ∘ₗ lsingle a = (.id : M →ₗ[R] M) := by ext; simp
@[simp]
theorem lapply_comp_lsingle_of_ne (a a' : α) (h : a ≠ a') :
lapply a ∘ₗ lsingle a' = (0 : M →ₗ[R] M) := by ext; simp [h.symm]
@[simp]
theorem ker_lsingle (a : α) : ker (lsingle a : M →ₗ[R] α →₀ M) = ⊥ :=
ker_eq_bot_of_injective (single_injective a)
#align finsupp.ker_lsingle Finsupp.ker_lsingle
theorem lsingle_range_le_ker_lapply (s t : Set α) (h : Disjoint s t) :
⨆ a ∈ s, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M) ≤
⨅ a ∈ t, ker (lapply a : (α →₀ M) →ₗ[R] M) := by
refine iSup_le fun a₁ => iSup_le fun h₁ => range_le_iff_comap.2 ?_
simp only [(ker_comp _ _).symm, eq_top_iff, SetLike.le_def, mem_ker, comap_iInf, mem_iInf]
intro b _ a₂ h₂
have : a₁ ≠ a₂ := fun eq => h.le_bot ⟨h₁, eq.symm ▸ h₂⟩
exact single_eq_of_ne this
#align finsupp.lsingle_range_le_ker_lapply Finsupp.lsingle_range_le_ker_lapply
theorem iInf_ker_lapply_le_bot : ⨅ a, ker (lapply a : (α →₀ M) →ₗ[R] M) ≤ ⊥ := by
simp only [SetLike.le_def, mem_iInf, mem_ker, mem_bot, lapply_apply]
exact fun a h => Finsupp.ext h
#align finsupp.infi_ker_lapply_le_bot Finsupp.iInf_ker_lapply_le_bot
theorem iSup_lsingle_range : ⨆ a, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M) = ⊤ := by
refine eq_top_iff.2 <| SetLike.le_def.2 fun f _ => ?_
rw [← sum_single f]
exact sum_mem fun a _ => Submodule.mem_iSup_of_mem a ⟨_, rfl⟩
#align finsupp.supr_lsingle_range Finsupp.iSup_lsingle_range
theorem disjoint_lsingle_lsingle (s t : Set α) (hs : Disjoint s t) :
Disjoint (⨆ a ∈ s, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M))
(⨆ a ∈ t, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M)) := by
-- Porting note: 2 placeholders are added to prevent timeout.
refine
(Disjoint.mono
(lsingle_range_le_ker_lapply s sᶜ ?_)
(lsingle_range_le_ker_lapply t tᶜ ?_))
?_
· apply disjoint_compl_right
· apply disjoint_compl_right
rw [disjoint_iff_inf_le]
refine le_trans (le_iInf fun i => ?_) iInf_ker_lapply_le_bot
classical
by_cases his : i ∈ s
· by_cases hit : i ∈ t
· exact (hs.le_bot ⟨his, hit⟩).elim
exact inf_le_of_right_le (iInf_le_of_le i <| iInf_le _ hit)
exact inf_le_of_left_le (iInf_le_of_le i <| iInf_le _ his)
#align finsupp.disjoint_lsingle_lsingle Finsupp.disjoint_lsingle_lsingle
theorem span_single_image (s : Set M) (a : α) :
Submodule.span R (single a '' s) = (Submodule.span R s).map (lsingle a : M →ₗ[R] α →₀ M) := by
rw [← span_image]; rfl
#align finsupp.span_single_image Finsupp.span_single_image
variable (M R)
/-- `Finsupp.supported M R s` is the `R`-submodule of all `p : α →₀ M` such that `p.support ⊆ s`. -/
def supported (s : Set α) : Submodule R (α →₀ M) where
carrier := { p | ↑p.support ⊆ s }
add_mem' {p q} hp hq := by
classical
refine Subset.trans (Subset.trans (Finset.coe_subset.2 support_add) ?_) (union_subset hp hq)
rw [Finset.coe_union]
zero_mem' := by
simp only [subset_def, Finset.mem_coe, Set.mem_setOf_eq, mem_support_iff, zero_apply]
intro h ha
exact (ha rfl).elim
smul_mem' a p hp := Subset.trans (Finset.coe_subset.2 support_smul) hp
#align finsupp.supported Finsupp.supported
variable {M}
theorem mem_supported {s : Set α} (p : α →₀ M) : p ∈ supported M R s ↔ ↑p.support ⊆ s :=
Iff.rfl
#align finsupp.mem_supported Finsupp.mem_supported
theorem mem_supported' {s : Set α} (p : α →₀ M) :
p ∈ supported M R s ↔ ∀ x ∉ s, p x = 0 := by
haveI := Classical.decPred fun x : α => x ∈ s; simp [mem_supported, Set.subset_def, not_imp_comm]
#align finsupp.mem_supported' Finsupp.mem_supported'
theorem mem_supported_support (p : α →₀ M) : p ∈ Finsupp.supported M R (p.support : Set α) := by
rw [Finsupp.mem_supported]
#align finsupp.mem_supported_support Finsupp.mem_supported_support
theorem single_mem_supported {s : Set α} {a : α} (b : M) (h : a ∈ s) :
single a b ∈ supported M R s :=
Set.Subset.trans support_single_subset (Finset.singleton_subset_set_iff.2 h)
#align finsupp.single_mem_supported Finsupp.single_mem_supported
theorem supported_eq_span_single (s : Set α) :
supported R R s = span R ((fun i => single i 1) '' s) := by
refine (span_eq_of_le _ ?_ (SetLike.le_def.2 fun l hl => ?_)).symm
· rintro _ ⟨_, hp, rfl⟩
exact single_mem_supported R 1 hp
· rw [← l.sum_single]
refine sum_mem fun i il => ?_
-- Porting note: Needed to help this convert quite a bit replacing underscores
convert smul_mem (M := α →₀ R) (x := single i 1) (span R ((fun i => single i 1) '' s)) (l i) ?_
· simp [span]
· apply subset_span
apply Set.mem_image_of_mem _ (hl il)
#align finsupp.supported_eq_span_single Finsupp.supported_eq_span_single
variable (M)
/-- Interpret `Finsupp.filter s` as a linear map from `α →₀ M` to `supported M R s`. -/
def restrictDom (s : Set α) [DecidablePred (· ∈ s)] : (α →₀ M) →ₗ[R] supported M R s :=
LinearMap.codRestrict _
{ toFun := filter (· ∈ s)
map_add' := fun _ _ => filter_add
map_smul' := fun _ _ => filter_smul } fun l =>
(mem_supported' _ _).2 fun _ => filter_apply_neg (· ∈ s) l
#align finsupp.restrict_dom Finsupp.restrictDom
variable {M R}
section
@[simp]
theorem restrictDom_apply (s : Set α) (l : α →₀ M) [DecidablePred (· ∈ s)]:
(restrictDom M R s l : α →₀ M) = Finsupp.filter (· ∈ s) l := rfl
#align finsupp.restrict_dom_apply Finsupp.restrictDom_apply
end
theorem restrictDom_comp_subtype (s : Set α) [DecidablePred (· ∈ s)] :
(restrictDom M R s).comp (Submodule.subtype _) = LinearMap.id := by
ext l a
by_cases h : a ∈ s <;> simp [h]
exact ((mem_supported' R l.1).1 l.2 a h).symm
#align finsupp.restrict_dom_comp_subtype Finsupp.restrictDom_comp_subtype
theorem range_restrictDom (s : Set α) [DecidablePred (· ∈ s)] :
LinearMap.range (restrictDom M R s) = ⊤ :=
range_eq_top.2 <|
Function.RightInverse.surjective <| LinearMap.congr_fun (restrictDom_comp_subtype s)
#align finsupp.range_restrict_dom Finsupp.range_restrictDom
theorem supported_mono {s t : Set α} (st : s ⊆ t) : supported M R s ≤ supported M R t := fun _ h =>
Set.Subset.trans h st
#align finsupp.supported_mono Finsupp.supported_mono
@[simp]
theorem supported_empty : supported M R (∅ : Set α) = ⊥ :=
eq_bot_iff.2 fun l h => (Submodule.mem_bot R).2 <| by ext; simp_all [mem_supported']
#align finsupp.supported_empty Finsupp.supported_empty
@[simp]
theorem supported_univ : supported M R (Set.univ : Set α) = ⊤ :=
eq_top_iff.2 fun _ _ => Set.subset_univ _
#align finsupp.supported_univ Finsupp.supported_univ
theorem supported_iUnion {δ : Type*} (s : δ → Set α) :
supported M R (⋃ i, s i) = ⨆ i, supported M R (s i) := by
refine le_antisymm ?_ (iSup_le fun i => supported_mono <| Set.subset_iUnion _ _)
haveI := Classical.decPred fun x => x ∈ ⋃ i, s i
suffices
LinearMap.range ((Submodule.subtype _).comp (restrictDom M R (⋃ i, s i))) ≤
⨆ i, supported M R (s i) by
rwa [LinearMap.range_comp, range_restrictDom, Submodule.map_top, range_subtype] at this
rw [range_le_iff_comap, eq_top_iff]
rintro l ⟨⟩
-- Porting note: Was ported as `induction l using Finsupp.induction`
refine Finsupp.induction l ?_ ?_
· exact zero_mem _
· refine fun x a l _ _ => add_mem ?_
by_cases h : ∃ i, x ∈ s i <;> simp [h]
cases' h with i hi
exact le_iSup (fun i => supported M R (s i)) i (single_mem_supported R _ hi)
#align finsupp.supported_Union Finsupp.supported_iUnion
theorem supported_union (s t : Set α) :
supported M R (s ∪ t) = supported M R s ⊔ supported M R t := by
erw [Set.union_eq_iUnion, supported_iUnion, iSup_bool_eq]; rfl
#align finsupp.supported_union Finsupp.supported_union
theorem supported_iInter {ι : Type*} (s : ι → Set α) :
supported M R (⋂ i, s i) = ⨅ i, supported M R (s i) :=
Submodule.ext fun x => by simp [mem_supported, subset_iInter_iff]
#align finsupp.supported_Inter Finsupp.supported_iInter
theorem supported_inter (s t : Set α) :
supported M R (s ∩ t) = supported M R s ⊓ supported M R t := by
rw [Set.inter_eq_iInter, supported_iInter, iInf_bool_eq]; rfl
#align finsupp.supported_inter Finsupp.supported_inter
theorem disjoint_supported_supported {s t : Set α} (h : Disjoint s t) :
Disjoint (supported M R s) (supported M R t) :=
disjoint_iff.2 <| by rw [← supported_inter, disjoint_iff_inter_eq_empty.1 h, supported_empty]
#align finsupp.disjoint_supported_supported Finsupp.disjoint_supported_supported
theorem disjoint_supported_supported_iff [Nontrivial M] {s t : Set α} :
Disjoint (supported M R s) (supported M R t) ↔ Disjoint s t := by
refine ⟨fun h => Set.disjoint_left.mpr fun x hx1 hx2 => ?_, disjoint_supported_supported⟩
rcases exists_ne (0 : M) with ⟨y, hy⟩
have := h.le_bot ⟨single_mem_supported R y hx1, single_mem_supported R y hx2⟩
rw [mem_bot, single_eq_zero] at this
exact hy this
#align finsupp.disjoint_supported_supported_iff Finsupp.disjoint_supported_supported_iff
/-- Interpret `Finsupp.restrictSupportEquiv` as a linear equivalence between
`supported M R s` and `s →₀ M`. -/
def supportedEquivFinsupp (s : Set α) : supported M R s ≃ₗ[R] s →₀ M := by
let F : supported M R s ≃ (s →₀ M) := restrictSupportEquiv s M
refine F.toLinearEquiv ?_
have :
(F : supported M R s → ↥s →₀ M) =
(lsubtypeDomain s : (α →₀ M) →ₗ[R] s →₀ M).comp (Submodule.subtype (supported M R s)) :=
rfl
rw [this]
exact LinearMap.isLinear _
#align finsupp.supported_equiv_finsupp Finsupp.supportedEquivFinsupp
section LSum
variable (S)
variable [Module S N] [SMulCommClass R S N]
/-- Lift a family of linear maps `M →ₗ[R] N` indexed by `x : α` to a linear map from `α →₀ M` to
`N` using `Finsupp.sum`. This is an upgraded version of `Finsupp.liftAddHom`.
See note [bundled maps over different rings] for why separate `R` and `S` semirings are used.
-/
def lsum : (α → M →ₗ[R] N) ≃ₗ[S] (α →₀ M) →ₗ[R] N where
toFun F :=
{ toFun := fun d => d.sum fun i => F i
map_add' := (liftAddHom (α := α) (M := M) (N := N) fun x => (F x).toAddMonoidHom).map_add
map_smul' := fun c f => by simp [sum_smul_index', smul_sum] }
invFun F x := F.comp (lsingle x)
left_inv F := by
ext x y
simp
right_inv F := by
ext x y
simp
map_add' F G := by
ext x y
simp
map_smul' F G := by
ext x y
simp
#align finsupp.lsum Finsupp.lsum
@[simp]
theorem coe_lsum (f : α → M →ₗ[R] N) : (lsum S f : (α →₀ M) → N) = fun d => d.sum fun i => f i :=
rfl
#align finsupp.coe_lsum Finsupp.coe_lsum
theorem lsum_apply (f : α → M →ₗ[R] N) (l : α →₀ M) : Finsupp.lsum S f l = l.sum fun b => f b :=
rfl
#align finsupp.lsum_apply Finsupp.lsum_apply
theorem lsum_single (f : α → M →ₗ[R] N) (i : α) (m : M) :
Finsupp.lsum S f (Finsupp.single i m) = f i m :=
Finsupp.sum_single_index (f i).map_zero
#align finsupp.lsum_single Finsupp.lsum_single
@[simp] theorem lsum_comp_lsingle (f : α → M →ₗ[R] N) (i : α) :
Finsupp.lsum S f ∘ₗ lsingle i = f i := by ext; simp
theorem lsum_symm_apply (f : (α →₀ M) →ₗ[R] N) (x : α) : (lsum S).symm f x = f.comp (lsingle x) :=
rfl
#align finsupp.lsum_symm_apply Finsupp.lsum_symm_apply
end LSum
section
variable (M) (R) (X : Type*) (S)
variable [Module S M] [SMulCommClass R S M]
/-- A slight rearrangement from `lsum` gives us
the bijection underlying the free-forgetful adjunction for R-modules.
-/
noncomputable def lift : (X → M) ≃+ ((X →₀ R) →ₗ[R] M) :=
(AddEquiv.arrowCongr (Equiv.refl X) (ringLmapEquivSelf R ℕ M).toAddEquiv.symm).trans
(lsum _ : _ ≃ₗ[ℕ] _).toAddEquiv
#align finsupp.lift Finsupp.lift
@[simp]
theorem lift_symm_apply (f) (x) : ((lift M R X).symm f) x = f (single x 1) :=
rfl
#align finsupp.lift_symm_apply Finsupp.lift_symm_apply
@[simp]
theorem lift_apply (f) (g) : ((lift M R X) f) g = g.sum fun x r => r • f x :=
rfl
#align finsupp.lift_apply Finsupp.lift_apply
/-- Given compatible `S` and `R`-module structures on `M` and a type `X`, the set of functions
`X → M` is `S`-linearly equivalent to the `R`-linear maps from the free `R`-module
on `X` to `M`. -/
noncomputable def llift : (X → M) ≃ₗ[S] (X →₀ R) →ₗ[R] M :=
{ lift M R X with
map_smul' := by
intros
dsimp
ext
simp only [coe_comp, Function.comp_apply, lsingle_apply, lift_apply, Pi.smul_apply,
sum_single_index, zero_smul, one_smul, LinearMap.smul_apply] }
#align finsupp.llift Finsupp.llift
@[simp]
theorem llift_apply (f : X → M) (x : X →₀ R) : llift M R S X f x = lift M R X f x :=
rfl
#align finsupp.llift_apply Finsupp.llift_apply
@[simp]
theorem llift_symm_apply (f : (X →₀ R) →ₗ[R] M) (x : X) :
(llift M R S X).symm f x = f (single x 1) :=
rfl
#align finsupp.llift_symm_apply Finsupp.llift_symm_apply
end
section LMapDomain
variable {α' : Type*} {α'' : Type*} (M R)
/-- Interpret `Finsupp.mapDomain` as a linear map. -/
def lmapDomain (f : α → α') : (α →₀ M) →ₗ[R] α' →₀ M where
toFun := mapDomain f
map_add' _ _ := mapDomain_add
map_smul' := mapDomain_smul
#align finsupp.lmap_domain Finsupp.lmapDomain
@[simp]
theorem lmapDomain_apply (f : α → α') (l : α →₀ M) :
(lmapDomain M R f : (α →₀ M) →ₗ[R] α' →₀ M) l = mapDomain f l :=
rfl
#align finsupp.lmap_domain_apply Finsupp.lmapDomain_apply
@[simp]
theorem lmapDomain_id : (lmapDomain M R _root_.id : (α →₀ M) →ₗ[R] α →₀ M) = LinearMap.id :=
LinearMap.ext fun _ => mapDomain_id
#align finsupp.lmap_domain_id Finsupp.lmapDomain_id
theorem lmapDomain_comp (f : α → α') (g : α' → α'') :
lmapDomain M R (g ∘ f) = (lmapDomain M R g).comp (lmapDomain M R f) :=
LinearMap.ext fun _ => mapDomain_comp
#align finsupp.lmap_domain_comp Finsupp.lmapDomain_comp
theorem supported_comap_lmapDomain (f : α → α') (s : Set α') :
supported M R (f ⁻¹' s) ≤ (supported M R s).comap (lmapDomain M R f) := by
classical
intro l (hl : (l.support : Set α) ⊆ f ⁻¹' s)
show ↑(mapDomain f l).support ⊆ s
rw [← Set.image_subset_iff, ← Finset.coe_image] at hl
exact Set.Subset.trans mapDomain_support hl
#align finsupp.supported_comap_lmap_domain Finsupp.supported_comap_lmapDomain
theorem lmapDomain_supported (f : α → α') (s : Set α) :
(supported M R s).map (lmapDomain M R f) = supported M R (f '' s) := by
classical
cases isEmpty_or_nonempty α
· simp [s.eq_empty_of_isEmpty]
refine
le_antisymm
(map_le_iff_le_comap.2 <|
le_trans (supported_mono <| Set.subset_preimage_image _ _)
(supported_comap_lmapDomain M R _ _))
?_
intro l hl
refine ⟨(lmapDomain M R (Function.invFunOn f s) : (α' →₀ M) →ₗ[R] α →₀ M) l, fun x hx => ?_, ?_⟩
· rcases Finset.mem_image.1 (mapDomain_support hx) with ⟨c, hc, rfl⟩
exact Function.invFunOn_mem (by simpa using hl hc)
· rw [← LinearMap.comp_apply, ← lmapDomain_comp]
refine (mapDomain_congr fun c hc => ?_).trans mapDomain_id
exact Function.invFunOn_eq (by simpa using hl hc)
#align finsupp.lmap_domain_supported Finsupp.lmapDomain_supported
theorem lmapDomain_disjoint_ker (f : α → α') {s : Set α}
(H : ∀ a ∈ s, ∀ b ∈ s, f a = f b → a = b) :
Disjoint (supported M R s) (ker (lmapDomain M R f)) := by
rw [disjoint_iff_inf_le]
rintro l ⟨h₁, h₂⟩
rw [SetLike.mem_coe, mem_ker, lmapDomain_apply, mapDomain] at h₂
simp; ext x
haveI := Classical.decPred fun x => x ∈ s
by_cases xs : x ∈ s
· have : Finsupp.sum l (fun a => Finsupp.single (f a)) (f x) = 0 := by
rw [h₂]
rfl
rw [Finsupp.sum_apply, Finsupp.sum_eq_single x, single_eq_same] at this
· simpa
· intro y hy xy
simp only [SetLike.mem_coe, mem_supported, subset_def, Finset.mem_coe, mem_support_iff] at h₁
simp [mt (H _ (h₁ _ hy) _ xs) xy]
· simp (config := { contextual := true })
· by_contra h
exact xs (h₁ <| Finsupp.mem_support_iff.2 h)
#align finsupp.lmap_domain_disjoint_ker Finsupp.lmapDomain_disjoint_ker
end LMapDomain
section LComapDomain
variable {β : Type*}
/-- Given `f : α → β` and a proof `hf` that `f` is injective, `lcomapDomain f hf` is the linear map
sending `l : β →₀ M` to the finitely supported function from `α` to `M` given by composing
`l` with `f`.
This is the linear version of `Finsupp.comapDomain`. -/
def lcomapDomain (f : α → β) (hf : Function.Injective f) : (β →₀ M) →ₗ[R] α →₀ M where
toFun l := Finsupp.comapDomain f l hf.injOn
map_add' x y := by ext; simp
map_smul' c x := by ext; simp
#align finsupp.lcomap_domain Finsupp.lcomapDomain
end LComapDomain
section Total
variable (α) (M) (R)
variable {α' : Type*} {M' : Type*} [AddCommMonoid M'] [Module R M'] (v : α → M) {v' : α' → M'}
/-- Interprets (l : α →₀ R) as linear combination of the elements in the family (v : α → M) and
evaluates this linear combination. -/
protected def total : (α →₀ R) →ₗ[R] M :=
Finsupp.lsum ℕ fun i => LinearMap.id.smulRight (v i)
#align finsupp.total Finsupp.total
variable {α M v}
theorem total_apply (l : α →₀ R) : Finsupp.total α M R v l = l.sum fun i a => a • v i :=
rfl
#align finsupp.total_apply Finsupp.total_apply
theorem total_apply_of_mem_supported {l : α →₀ R} {s : Finset α}
(hs : l ∈ supported R R (↑s : Set α)) : Finsupp.total α M R v l = s.sum fun i => l i • v i :=
Finset.sum_subset hs fun x _ hxg =>
show l x • v x = 0 by rw [not_mem_support_iff.1 hxg, zero_smul]
#align finsupp.total_apply_of_mem_supported Finsupp.total_apply_of_mem_supported
@[simp]
theorem total_single (c : R) (a : α) : Finsupp.total α M R v (single a c) = c • v a := by
simp [total_apply, sum_single_index]
#align finsupp.total_single Finsupp.total_single
theorem total_zero_apply (x : α →₀ R) : (Finsupp.total α M R 0) x = 0 := by
simp [Finsupp.total_apply]
#align finsupp.total_zero_apply Finsupp.total_zero_apply
variable (α M)
@[simp]
theorem total_zero : Finsupp.total α M R 0 = 0 :=
LinearMap.ext (total_zero_apply R)
#align finsupp.total_zero Finsupp.total_zero
variable {α M}
theorem apply_total (f : M →ₗ[R] M') (v) (l : α →₀ R) :
f (Finsupp.total α M R v l) = Finsupp.total α M' R (f ∘ v) l := by
apply Finsupp.induction_linear l <;> simp (config := { contextual := true })
#align finsupp.apply_total Finsupp.apply_total
theorem apply_total_id (f : M →ₗ[R] M') (l : M →₀ R) :
f (Finsupp.total M M R _root_.id l) = Finsupp.total M M' R f l :=
apply_total ..
theorem total_unique [Unique α] (l : α →₀ R) (v) :
Finsupp.total α M R v l = l default • v default := by rw [← total_single, ← unique_single l]
#align finsupp.total_unique Finsupp.total_unique
theorem total_surjective (h : Function.Surjective v) :
Function.Surjective (Finsupp.total α M R v) := by
intro x
obtain ⟨y, hy⟩ := h x
exact ⟨Finsupp.single y 1, by simp [hy]⟩
#align finsupp.total_surjective Finsupp.total_surjective
theorem total_range (h : Function.Surjective v) : LinearMap.range (Finsupp.total α M R v) = ⊤ :=
range_eq_top.2 <| total_surjective R h
#align finsupp.total_range Finsupp.total_range
/-- Any module is a quotient of a free module. This is stated as surjectivity of
`Finsupp.total M M R id : (M →₀ R) →ₗ[R] M`. -/
theorem total_id_surjective (M) [AddCommMonoid M] [Module R M] :
Function.Surjective (Finsupp.total M M R _root_.id) :=
total_surjective R Function.surjective_id
#align finsupp.total_id_surjective Finsupp.total_id_surjective
theorem range_total : LinearMap.range (Finsupp.total α M R v) = span R (range v) := by
ext x
constructor
· intro hx
rw [LinearMap.mem_range] at hx
rcases hx with ⟨l, hl⟩
rw [← hl]
rw [Finsupp.total_apply]
exact sum_mem fun i _ => Submodule.smul_mem _ _ (subset_span (mem_range_self i))
· apply span_le.2
intro x hx
rcases hx with ⟨i, hi⟩
rw [SetLike.mem_coe, LinearMap.mem_range]
use Finsupp.single i 1
simp [hi]
#align finsupp.range_total Finsupp.range_total
theorem lmapDomain_total (f : α → α') (g : M →ₗ[R] M') (h : ∀ i, g (v i) = v' (f i)) :
(Finsupp.total α' M' R v').comp (lmapDomain R R f) = g.comp (Finsupp.total α M R v) := by
ext l
simp [total_apply, Finsupp.sum_mapDomain_index, add_smul, h]
#align finsupp.lmap_domain_total Finsupp.lmapDomain_total
theorem total_comp_lmapDomain (f : α → α') :
(Finsupp.total α' M' R v').comp (Finsupp.lmapDomain R R f) = Finsupp.total α M' R (v' ∘ f) := by
ext
simp
#align finsupp.total_comp_lmap_domain Finsupp.total_comp_lmapDomain
@[simp]
theorem total_embDomain (f : α ↪ α') (l : α →₀ R) :
(Finsupp.total α' M' R v') (embDomain f l) = (Finsupp.total α M' R (v' ∘ f)) l := by
simp [total_apply, Finsupp.sum, support_embDomain, embDomain_apply]
#align finsupp.total_emb_domain Finsupp.total_embDomain
@[simp]
theorem total_mapDomain (f : α → α') (l : α →₀ R) :
(Finsupp.total α' M' R v') (mapDomain f l) = (Finsupp.total α M' R (v' ∘ f)) l :=
LinearMap.congr_fun (total_comp_lmapDomain _ _) l
#align finsupp.total_map_domain Finsupp.total_mapDomain
@[simp]
theorem total_equivMapDomain (f : α ≃ α') (l : α →₀ R) :
(Finsupp.total α' M' R v') (equivMapDomain f l) = (Finsupp.total α M' R (v' ∘ f)) l := by
rw [equivMapDomain_eq_mapDomain, total_mapDomain]
#align finsupp.total_equiv_map_domain Finsupp.total_equivMapDomain
/-- A version of `Finsupp.range_total` which is useful for going in the other direction -/
theorem span_eq_range_total (s : Set M) : span R s = LinearMap.range (Finsupp.total s M R (↑)) := by
rw [range_total, Subtype.range_coe_subtype, Set.setOf_mem_eq]
#align finsupp.span_eq_range_total Finsupp.span_eq_range_total
theorem mem_span_iff_total (s : Set M) (x : M) :
x ∈ span R s ↔ ∃ l : s →₀ R, Finsupp.total s M R (↑) l = x :=
(SetLike.ext_iff.1 <| span_eq_range_total _ _) x
#align finsupp.mem_span_iff_total Finsupp.mem_span_iff_total
variable {R}
theorem mem_span_range_iff_exists_finsupp {v : α → M} {x : M} :
x ∈ span R (range v) ↔ ∃ c : α →₀ R, (c.sum fun i a => a • v i) = x := by
simp only [← Finsupp.range_total, LinearMap.mem_range, Finsupp.total_apply]
#align finsupp.mem_span_range_iff_exists_finsupp Finsupp.mem_span_range_iff_exists_finsupp
variable (R)
theorem span_image_eq_map_total (s : Set α) :
span R (v '' s) = Submodule.map (Finsupp.total α M R v) (supported R R s) := by
apply span_eq_of_le
· intro x hx
rw [Set.mem_image] at hx
apply Exists.elim hx
intro i hi
exact ⟨_, Finsupp.single_mem_supported R 1 hi.1, by simp [hi.2]⟩
· refine map_le_iff_le_comap.2 fun z hz => ?_
have : ∀ i, z i • v i ∈ span R (v '' s) := by
intro c
haveI := Classical.decPred fun x => x ∈ s
by_cases h : c ∈ s
· exact smul_mem _ _ (subset_span (Set.mem_image_of_mem _ h))
· simp [(Finsupp.mem_supported' R _).1 hz _ h]
-- Porting note: `rw` is required to infer metavariables in `sum_mem`.
rw [mem_comap, total_apply]
refine sum_mem ?_
simp [this]
#align finsupp.span_image_eq_map_total Finsupp.span_image_eq_map_total
theorem mem_span_image_iff_total {s : Set α} {x : M} :
x ∈ span R (v '' s) ↔ ∃ l ∈ supported R R s, Finsupp.total α M R v l = x := by
rw [span_image_eq_map_total]
simp
#align finsupp.mem_span_image_iff_total Finsupp.mem_span_image_iff_total
theorem total_option (v : Option α → M) (f : Option α →₀ R) :
Finsupp.total (Option α) M R v f =
f none • v none + Finsupp.total α M R (v ∘ Option.some) f.some := by
rw [total_apply, sum_option_index_smul, total_apply]; simp
#align finsupp.total_option Finsupp.total_option
theorem total_total {α β : Type*} (A : α → M) (B : β → α →₀ R) (f : β →₀ R) :
Finsupp.total α M R A (Finsupp.total β (α →₀ R) R B f) =
Finsupp.total β M R (fun b => Finsupp.total α M R A (B b)) f := by
classical
simp only [total_apply]
apply induction_linear f
· simp only [sum_zero_index]
· intro f₁ f₂ h₁ h₂
simp [sum_add_index, h₁, h₂, add_smul]
· simp [sum_single_index, sum_smul_index, smul_sum, mul_smul]
#align finsupp.total_total Finsupp.total_total
@[simp]
theorem total_fin_zero (f : Fin 0 → M) : Finsupp.total (Fin 0) M R f = 0 := by
ext i
apply finZeroElim i
#align finsupp.total_fin_zero Finsupp.total_fin_zero
variable (α) (M) (v)
/-- `Finsupp.totalOn M v s` interprets `p : α →₀ R` as a linear combination of a
subset of the vectors in `v`, mapping it to the span of those vectors.
The subset is indicated by a set `s : Set α` of indices.
-/
protected def totalOn (s : Set α) : supported R R s →ₗ[R] span R (v '' s) :=
LinearMap.codRestrict _ ((Finsupp.total _ _ _ v).comp (Submodule.subtype (supported R R s)))
fun ⟨l, hl⟩ => (mem_span_image_iff_total _).2 ⟨l, hl, rfl⟩
#align finsupp.total_on Finsupp.totalOn
variable {α} {M} {v}
| Mathlib/LinearAlgebra/Finsupp.lean | 854 | 858 | theorem totalOn_range (s : Set α) : LinearMap.range (Finsupp.totalOn α M R v s) = ⊤ := by |
rw [Finsupp.totalOn, LinearMap.range_eq_map, LinearMap.map_codRestrict,
← LinearMap.range_le_iff_comap, range_subtype, Submodule.map_top, LinearMap.range_comp,
range_subtype]
exact (span_image_eq_map_total _ _).le
|
/-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Floris van Doorn
-/
import Mathlib.Geometry.Manifold.MFDeriv.SpecificFunctions
/-!
# Differentiability of models with corners and (extended) charts
In this file, we analyse the differentiability of charts, models with corners and extended charts.
We show that
* models with corners are differentiable
* charts are differentiable on their source
* `mdifferentiableOn_extChartAt`: `extChartAt` is differentiable on its source
Suppose a partial homeomorphism `e` is differentiable. This file shows
* `PartialHomeomorph.MDifferentiable.mfderiv`: its derivative is a continuous linear equivalence
* `PartialHomeomorph.MDifferentiable.mfderiv_bijective`: its derivative is bijective;
there are also spelling with trivial kernel and full range
In particular, (extended) charts have bijective differential.
## Tags
charts, differentiable, bijective
-/
noncomputable section
open scoped Manifold
open Bundle Set Topology
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
{E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M]
{E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H']
(I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M']
{E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H'']
(I'' : ModelWithCorners 𝕜 E'' H'') {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M'']
section ModelWithCorners
namespace ModelWithCorners
/-! #### Model with corners -/
protected theorem hasMFDerivAt {x} : HasMFDerivAt I 𝓘(𝕜, E) I x (ContinuousLinearMap.id _ _) :=
⟨I.continuousAt, (hasFDerivWithinAt_id _ _).congr' I.rightInvOn (mem_range_self _)⟩
#align model_with_corners.has_mfderiv_at ModelWithCorners.hasMFDerivAt
protected theorem hasMFDerivWithinAt {s x} :
HasMFDerivWithinAt I 𝓘(𝕜, E) I s x (ContinuousLinearMap.id _ _) :=
I.hasMFDerivAt.hasMFDerivWithinAt
#align model_with_corners.has_mfderiv_within_at ModelWithCorners.hasMFDerivWithinAt
protected theorem mdifferentiableWithinAt {s x} : MDifferentiableWithinAt I 𝓘(𝕜, E) I s x :=
I.hasMFDerivWithinAt.mdifferentiableWithinAt
#align model_with_corners.mdifferentiable_within_at ModelWithCorners.mdifferentiableWithinAt
protected theorem mdifferentiableAt {x} : MDifferentiableAt I 𝓘(𝕜, E) I x :=
I.hasMFDerivAt.mdifferentiableAt
#align model_with_corners.mdifferentiable_at ModelWithCorners.mdifferentiableAt
protected theorem mdifferentiableOn {s} : MDifferentiableOn I 𝓘(𝕜, E) I s := fun _ _ =>
I.mdifferentiableWithinAt
#align model_with_corners.mdifferentiable_on ModelWithCorners.mdifferentiableOn
protected theorem mdifferentiable : MDifferentiable I 𝓘(𝕜, E) I := fun _ => I.mdifferentiableAt
#align model_with_corners.mdifferentiable ModelWithCorners.mdifferentiable
theorem hasMFDerivWithinAt_symm {x} (hx : x ∈ range I) :
HasMFDerivWithinAt 𝓘(𝕜, E) I I.symm (range I) x (ContinuousLinearMap.id _ _) :=
⟨I.continuousWithinAt_symm,
(hasFDerivWithinAt_id _ _).congr' (fun _y hy => I.rightInvOn hy.1) ⟨hx, mem_range_self _⟩⟩
#align model_with_corners.has_mfderiv_within_at_symm ModelWithCorners.hasMFDerivWithinAt_symm
theorem mdifferentiableOn_symm : MDifferentiableOn 𝓘(𝕜, E) I I.symm (range I) := fun _x hx =>
(I.hasMFDerivWithinAt_symm hx).mdifferentiableWithinAt
#align model_with_corners.mdifferentiable_on_symm ModelWithCorners.mdifferentiableOn_symm
end ModelWithCorners
end ModelWithCorners
section Charts
variable [SmoothManifoldWithCorners I M] [SmoothManifoldWithCorners I' M']
[SmoothManifoldWithCorners I'' M''] {e : PartialHomeomorph M H}
theorem mdifferentiableAt_atlas (h : e ∈ atlas H M) {x : M} (hx : x ∈ e.source) :
MDifferentiableAt I I e x := by
rw [mdifferentiableAt_iff]
refine ⟨(e.continuousOn x hx).continuousAt (e.open_source.mem_nhds hx), ?_⟩
have mem :
I ((chartAt H x : M → H) x) ∈ I.symm ⁻¹' ((chartAt H x).symm ≫ₕ e).source ∩ range I := by
simp only [hx, mfld_simps]
have : (chartAt H x).symm.trans e ∈ contDiffGroupoid ∞ I :=
HasGroupoid.compatible (chart_mem_atlas H x) h
have A :
ContDiffOn 𝕜 ∞ (I ∘ (chartAt H x).symm.trans e ∘ I.symm)
(I.symm ⁻¹' ((chartAt H x).symm.trans e).source ∩ range I) :=
this.1
have B := A.differentiableOn le_top (I ((chartAt H x : M → H) x)) mem
simp only [mfld_simps] at B
rw [inter_comm, differentiableWithinAt_inter] at B
· simpa only [mfld_simps]
· apply IsOpen.mem_nhds ((PartialHomeomorph.open_source _).preimage I.continuous_symm) mem.1
#align mdifferentiable_at_atlas mdifferentiableAt_atlas
theorem mdifferentiableOn_atlas (h : e ∈ atlas H M) : MDifferentiableOn I I e e.source :=
fun _x hx => (mdifferentiableAt_atlas I h hx).mdifferentiableWithinAt
#align mdifferentiable_on_atlas mdifferentiableOn_atlas
theorem mdifferentiableAt_atlas_symm (h : e ∈ atlas H M) {x : H} (hx : x ∈ e.target) :
MDifferentiableAt I I e.symm x := by
rw [mdifferentiableAt_iff]
refine ⟨(e.continuousOn_symm x hx).continuousAt (e.open_target.mem_nhds hx), ?_⟩
have mem : I x ∈ I.symm ⁻¹' (e.symm ≫ₕ chartAt H (e.symm x)).source ∩ range I := by
simp only [hx, mfld_simps]
have : e.symm.trans (chartAt H (e.symm x)) ∈ contDiffGroupoid ∞ I :=
HasGroupoid.compatible h (chart_mem_atlas H _)
have A :
ContDiffOn 𝕜 ∞ (I ∘ e.symm.trans (chartAt H (e.symm x)) ∘ I.symm)
(I.symm ⁻¹' (e.symm.trans (chartAt H (e.symm x))).source ∩ range I) :=
this.1
have B := A.differentiableOn le_top (I x) mem
simp only [mfld_simps] at B
rw [inter_comm, differentiableWithinAt_inter] at B
· simpa only [mfld_simps]
· apply IsOpen.mem_nhds ((PartialHomeomorph.open_source _).preimage I.continuous_symm) mem.1
#align mdifferentiable_at_atlas_symm mdifferentiableAt_atlas_symm
theorem mdifferentiableOn_atlas_symm (h : e ∈ atlas H M) : MDifferentiableOn I I e.symm e.target :=
fun _x hx => (mdifferentiableAt_atlas_symm I h hx).mdifferentiableWithinAt
#align mdifferentiable_on_atlas_symm mdifferentiableOn_atlas_symm
theorem mdifferentiable_of_mem_atlas (h : e ∈ atlas H M) : e.MDifferentiable I I :=
⟨mdifferentiableOn_atlas I h, mdifferentiableOn_atlas_symm I h⟩
#align mdifferentiable_of_mem_atlas mdifferentiable_of_mem_atlas
theorem mdifferentiable_chart (x : M) : (chartAt H x).MDifferentiable I I :=
mdifferentiable_of_mem_atlas _ (chart_mem_atlas _ _)
#align mdifferentiable_chart mdifferentiable_chart
/-- The derivative of the chart at a base point is the chart of the tangent bundle, composed with
the identification between the tangent bundle of the model space and the product space. -/
theorem tangentMap_chart {p q : TangentBundle I M} (h : q.1 ∈ (chartAt H p.1).source) :
tangentMap I I (chartAt H p.1) q =
(TotalSpace.toProd _ _).symm
((chartAt (ModelProd H E) p : TangentBundle I M → ModelProd H E) q) := by
dsimp [tangentMap]
rw [MDifferentiableAt.mfderiv]
· rfl
· exact mdifferentiableAt_atlas _ (chart_mem_atlas _ _) h
#align tangent_map_chart tangentMap_chart
/-- The derivative of the inverse of the chart at a base point is the inverse of the chart of the
tangent bundle, composed with the identification between the tangent bundle of the model space and
the product space. -/
theorem tangentMap_chart_symm {p : TangentBundle I M} {q : TangentBundle I H}
(h : q.1 ∈ (chartAt H p.1).target) :
tangentMap I I (chartAt H p.1).symm q =
(chartAt (ModelProd H E) p).symm (TotalSpace.toProd H E q) := by
dsimp only [tangentMap]
rw [MDifferentiableAt.mfderiv (mdifferentiableAt_atlas_symm _ (chart_mem_atlas _ _) h)]
simp only [ContinuousLinearMap.coe_coe, TangentBundle.chartAt, h, tangentBundleCore,
mfld_simps, (· ∘ ·)]
-- `simp` fails to apply `PartialEquiv.prod_symm` with `ModelProd`
congr
exact ((chartAt H (TotalSpace.proj p)).right_inv h).symm
#align tangent_map_chart_symm tangentMap_chart_symm
lemma mfderiv_chartAt_eq_tangentCoordChange {x y : M} (hsrc : x ∈ (chartAt H y).source) :
mfderiv I I (chartAt H y) x = tangentCoordChange I x y x := by
have := mdifferentiableAt_atlas I (ChartedSpace.chart_mem_atlas _) hsrc
simp [mfderiv, if_pos this, Function.comp.assoc]
end Charts
/-! ### Differentiable partial homeomorphisms -/
namespace PartialHomeomorph.MDifferentiable
variable {I I' I''}
variable {e : PartialHomeomorph M M'} (he : e.MDifferentiable I I') {e' : PartialHomeomorph M' M''}
nonrec theorem symm : e.symm.MDifferentiable I' I := he.symm
#align local_homeomorph.mdifferentiable.symm PartialHomeomorph.MDifferentiable.symm
protected theorem mdifferentiableAt {x : M} (hx : x ∈ e.source) : MDifferentiableAt I I' e x :=
(he.1 x hx).mdifferentiableAt (e.open_source.mem_nhds hx)
#align local_homeomorph.mdifferentiable.mdifferentiable_at PartialHomeomorph.MDifferentiable.mdifferentiableAt
theorem mdifferentiableAt_symm {x : M'} (hx : x ∈ e.target) : MDifferentiableAt I' I e.symm x :=
(he.2 x hx).mdifferentiableAt (e.open_target.mem_nhds hx)
#align local_homeomorph.mdifferentiable.mdifferentiable_at_symm PartialHomeomorph.MDifferentiable.mdifferentiableAt_symm
variable [SmoothManifoldWithCorners I M] [SmoothManifoldWithCorners I' M']
[SmoothManifoldWithCorners I'' M'']
| Mathlib/Geometry/Manifold/MFDeriv/Atlas.lean | 200 | 210 | theorem symm_comp_deriv {x : M} (hx : x ∈ e.source) :
(mfderiv I' I e.symm (e x)).comp (mfderiv I I' e x) =
ContinuousLinearMap.id 𝕜 (TangentSpace I x) := by |
have : mfderiv I I (e.symm ∘ e) x = (mfderiv I' I e.symm (e x)).comp (mfderiv I I' e x) :=
mfderiv_comp x (he.mdifferentiableAt_symm (e.map_source hx)) (he.mdifferentiableAt hx)
rw [← this]
have : mfderiv I I (_root_.id : M → M) x = ContinuousLinearMap.id _ _ := mfderiv_id I
rw [← this]
apply Filter.EventuallyEq.mfderiv_eq
have : e.source ∈ 𝓝 x := e.open_source.mem_nhds hx
exact Filter.mem_of_superset this (by mfld_set_tac)
|
/-
Copyright (c) 2018 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Mario Carneiro, Simon Hudon
-/
import Mathlib.Data.Fin.Fin2
import Mathlib.Logic.Function.Basic
import Mathlib.Tactic.Common
#align_import data.typevec from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4"
/-!
# Tuples of types, and their categorical structure.
## Features
* `TypeVec n` - n-tuples of types
* `α ⟹ β` - n-tuples of maps
* `f ⊚ g` - composition
Also, support functions for operating with n-tuples of types, such as:
* `append1 α β` - append type `β` to n-tuple `α` to obtain an (n+1)-tuple
* `drop α` - drops the last element of an (n+1)-tuple
* `last α` - returns the last element of an (n+1)-tuple
* `appendFun f g` - appends a function g to an n-tuple of functions
* `dropFun f` - drops the last function from an n+1-tuple
* `lastFun f` - returns the last function of a tuple.
Since e.g. `append1 α.drop α.last` is propositionally equal to `α` but not definitionally equal
to it, we need support functions and lemmas to mediate between constructions.
-/
universe u v w
/-- n-tuples of types, as a category -/
@[pp_with_univ]
def TypeVec (n : ℕ) :=
Fin2 n → Type*
#align typevec TypeVec
instance {n} : Inhabited (TypeVec.{u} n) :=
⟨fun _ => PUnit⟩
namespace TypeVec
variable {n : ℕ}
/-- arrow in the category of `TypeVec` -/
def Arrow (α β : TypeVec n) :=
∀ i : Fin2 n, α i → β i
#align typevec.arrow TypeVec.Arrow
@[inherit_doc] scoped[MvFunctor] infixl:40 " ⟹ " => TypeVec.Arrow
open MvFunctor
/-- Extensionality for arrows -/
@[ext]
theorem Arrow.ext {α β : TypeVec n} (f g : α ⟹ β) :
(∀ i, f i = g i) → f = g := by
intro h; funext i; apply h
instance Arrow.inhabited (α β : TypeVec n) [∀ i, Inhabited (β i)] : Inhabited (α ⟹ β) :=
⟨fun _ _ => default⟩
#align typevec.arrow.inhabited TypeVec.Arrow.inhabited
/-- identity of arrow composition -/
def id {α : TypeVec n} : α ⟹ α := fun _ x => x
#align typevec.id TypeVec.id
/-- arrow composition in the category of `TypeVec` -/
def comp {α β γ : TypeVec n} (g : β ⟹ γ) (f : α ⟹ β) : α ⟹ γ := fun i x => g i (f i x)
#align typevec.comp TypeVec.comp
@[inherit_doc] scoped[MvFunctor] infixr:80 " ⊚ " => TypeVec.comp -- type as \oo
@[simp]
theorem id_comp {α β : TypeVec n} (f : α ⟹ β) : id ⊚ f = f :=
rfl
#align typevec.id_comp TypeVec.id_comp
@[simp]
theorem comp_id {α β : TypeVec n} (f : α ⟹ β) : f ⊚ id = f :=
rfl
#align typevec.comp_id TypeVec.comp_id
theorem comp_assoc {α β γ δ : TypeVec n} (h : γ ⟹ δ) (g : β ⟹ γ) (f : α ⟹ β) :
(h ⊚ g) ⊚ f = h ⊚ g ⊚ f :=
rfl
#align typevec.comp_assoc TypeVec.comp_assoc
/-- Support for extending a `TypeVec` by one element. -/
def append1 (α : TypeVec n) (β : Type*) : TypeVec (n + 1)
| Fin2.fs i => α i
| Fin2.fz => β
#align typevec.append1 TypeVec.append1
@[inherit_doc] infixl:67 " ::: " => append1
/-- retain only a `n-length` prefix of the argument -/
def drop (α : TypeVec.{u} (n + 1)) : TypeVec n := fun i => α i.fs
#align typevec.drop TypeVec.drop
/-- take the last value of a `(n+1)-length` vector -/
def last (α : TypeVec.{u} (n + 1)) : Type _ :=
α Fin2.fz
#align typevec.last TypeVec.last
instance last.inhabited (α : TypeVec (n + 1)) [Inhabited (α Fin2.fz)] : Inhabited (last α) :=
⟨show α Fin2.fz from default⟩
#align typevec.last.inhabited TypeVec.last.inhabited
theorem drop_append1 {α : TypeVec n} {β : Type*} {i : Fin2 n} : drop (append1 α β) i = α i :=
rfl
#align typevec.drop_append1 TypeVec.drop_append1
theorem drop_append1' {α : TypeVec n} {β : Type*} : drop (append1 α β) = α :=
funext fun _ => drop_append1
#align typevec.drop_append1' TypeVec.drop_append1'
theorem last_append1 {α : TypeVec n} {β : Type*} : last (append1 α β) = β :=
rfl
#align typevec.last_append1 TypeVec.last_append1
@[simp]
theorem append1_drop_last (α : TypeVec (n + 1)) : append1 (drop α) (last α) = α :=
funext fun i => by cases i <;> rfl
#align typevec.append1_drop_last TypeVec.append1_drop_last
/-- cases on `(n+1)-length` vectors -/
@[elab_as_elim]
def append1Cases {C : TypeVec (n + 1) → Sort u} (H : ∀ α β, C (append1 α β)) (γ) : C γ := by
rw [← @append1_drop_last _ γ]; apply H
#align typevec.append1_cases TypeVec.append1Cases
@[simp]
theorem append1_cases_append1 {C : TypeVec (n + 1) → Sort u} (H : ∀ α β, C (append1 α β)) (α β) :
@append1Cases _ C H (append1 α β) = H α β :=
rfl
#align typevec.append1_cases_append1 TypeVec.append1_cases_append1
/-- append an arrow and a function for arbitrary source and target type vectors -/
def splitFun {α α' : TypeVec (n + 1)} (f : drop α ⟹ drop α') (g : last α → last α') : α ⟹ α'
| Fin2.fs i => f i
| Fin2.fz => g
#align typevec.split_fun TypeVec.splitFun
/-- append an arrow and a function as well as their respective source and target types / typevecs -/
def appendFun {α α' : TypeVec n} {β β' : Type*} (f : α ⟹ α') (g : β → β') :
append1 α β ⟹ append1 α' β' :=
splitFun f g
#align typevec.append_fun TypeVec.appendFun
@[inherit_doc] infixl:0 " ::: " => appendFun
/-- split off the prefix of an arrow -/
def dropFun {α β : TypeVec (n + 1)} (f : α ⟹ β) : drop α ⟹ drop β := fun i => f i.fs
#align typevec.drop_fun TypeVec.dropFun
/-- split off the last function of an arrow -/
def lastFun {α β : TypeVec (n + 1)} (f : α ⟹ β) : last α → last β :=
f Fin2.fz
#align typevec.last_fun TypeVec.lastFun
-- Porting note: Lean wasn't able to infer the motive in term mode
/-- arrow in the category of `0-length` vectors -/
def nilFun {α : TypeVec 0} {β : TypeVec 0} : α ⟹ β := fun i => by apply Fin2.elim0 i
#align typevec.nil_fun TypeVec.nilFun
theorem eq_of_drop_last_eq {α β : TypeVec (n + 1)} {f g : α ⟹ β} (h₀ : dropFun f = dropFun g)
(h₁ : lastFun f = lastFun g) : f = g := by
-- Porting note: FIXME: congr_fun h₀ <;> ext1 ⟨⟩ <;> apply_assumption
refine funext (fun x => ?_)
cases x
· apply h₁
· apply congr_fun h₀
#align typevec.eq_of_drop_last_eq TypeVec.eq_of_drop_last_eq
@[simp]
theorem dropFun_splitFun {α α' : TypeVec (n + 1)} (f : drop α ⟹ drop α') (g : last α → last α') :
dropFun (splitFun f g) = f :=
rfl
#align typevec.drop_fun_split_fun TypeVec.dropFun_splitFun
/-- turn an equality into an arrow -/
def Arrow.mp {α β : TypeVec n} (h : α = β) : α ⟹ β
| _ => Eq.mp (congr_fun h _)
#align typevec.arrow.mp TypeVec.Arrow.mp
/-- turn an equality into an arrow, with reverse direction -/
def Arrow.mpr {α β : TypeVec n} (h : α = β) : β ⟹ α
| _ => Eq.mpr (congr_fun h _)
#align typevec.arrow.mpr TypeVec.Arrow.mpr
/-- decompose a vector into its prefix appended with its last element -/
def toAppend1DropLast {α : TypeVec (n + 1)} : α ⟹ (drop α ::: last α) :=
Arrow.mpr (append1_drop_last _)
#align typevec.to_append1_drop_last TypeVec.toAppend1DropLast
/-- stitch two bits of a vector back together -/
def fromAppend1DropLast {α : TypeVec (n + 1)} : (drop α ::: last α) ⟹ α :=
Arrow.mp (append1_drop_last _)
#align typevec.from_append1_drop_last TypeVec.fromAppend1DropLast
@[simp]
theorem lastFun_splitFun {α α' : TypeVec (n + 1)} (f : drop α ⟹ drop α') (g : last α → last α') :
lastFun (splitFun f g) = g :=
rfl
#align typevec.last_fun_split_fun TypeVec.lastFun_splitFun
@[simp]
theorem dropFun_appendFun {α α' : TypeVec n} {β β' : Type*} (f : α ⟹ α') (g : β → β') :
dropFun (f ::: g) = f :=
rfl
#align typevec.drop_fun_append_fun TypeVec.dropFun_appendFun
@[simp]
theorem lastFun_appendFun {α α' : TypeVec n} {β β' : Type*} (f : α ⟹ α') (g : β → β') :
lastFun (f ::: g) = g :=
rfl
#align typevec.last_fun_append_fun TypeVec.lastFun_appendFun
theorem split_dropFun_lastFun {α α' : TypeVec (n + 1)} (f : α ⟹ α') :
splitFun (dropFun f) (lastFun f) = f :=
eq_of_drop_last_eq rfl rfl
#align typevec.split_drop_fun_last_fun TypeVec.split_dropFun_lastFun
theorem splitFun_inj {α α' : TypeVec (n + 1)} {f f' : drop α ⟹ drop α'} {g g' : last α → last α'}
(H : splitFun f g = splitFun f' g') : f = f' ∧ g = g' := by
rw [← dropFun_splitFun f g, H, ← lastFun_splitFun f g, H]; simp
#align typevec.split_fun_inj TypeVec.splitFun_inj
theorem appendFun_inj {α α' : TypeVec n} {β β' : Type*} {f f' : α ⟹ α'} {g g' : β → β'} :
(f ::: g : (α ::: β) ⟹ _) = (f' ::: g' : (α ::: β) ⟹ _)
→ f = f' ∧ g = g' :=
splitFun_inj
#align typevec.append_fun_inj TypeVec.appendFun_inj
theorem splitFun_comp {α₀ α₁ α₂ : TypeVec (n + 1)} (f₀ : drop α₀ ⟹ drop α₁)
(f₁ : drop α₁ ⟹ drop α₂) (g₀ : last α₀ → last α₁) (g₁ : last α₁ → last α₂) :
splitFun (f₁ ⊚ f₀) (g₁ ∘ g₀) = splitFun f₁ g₁ ⊚ splitFun f₀ g₀ :=
eq_of_drop_last_eq rfl rfl
#align typevec.split_fun_comp TypeVec.splitFun_comp
theorem appendFun_comp_splitFun {α γ : TypeVec n} {β δ : Type*} {ε : TypeVec (n + 1)}
(f₀ : drop ε ⟹ α) (f₁ : α ⟹ γ) (g₀ : last ε → β) (g₁ : β → δ) :
appendFun f₁ g₁ ⊚ splitFun f₀ g₀ = splitFun (α' := γ.append1 δ) (f₁ ⊚ f₀) (g₁ ∘ g₀) :=
(splitFun_comp _ _ _ _).symm
#align typevec.append_fun_comp_split_fun TypeVec.appendFun_comp_splitFun
theorem appendFun_comp {α₀ α₁ α₂ : TypeVec n}
{β₀ β₁ β₂ : Type*}
(f₀ : α₀ ⟹ α₁) (f₁ : α₁ ⟹ α₂)
(g₀ : β₀ → β₁) (g₁ : β₁ → β₂) :
(f₁ ⊚ f₀ ::: g₁ ∘ g₀) = (f₁ ::: g₁) ⊚ (f₀ ::: g₀) :=
eq_of_drop_last_eq rfl rfl
#align typevec.append_fun_comp TypeVec.appendFun_comp
theorem appendFun_comp' {α₀ α₁ α₂ : TypeVec n} {β₀ β₁ β₂ : Type*}
(f₀ : α₀ ⟹ α₁) (f₁ : α₁ ⟹ α₂) (g₀ : β₀ → β₁) (g₁ : β₁ → β₂) :
(f₁ ::: g₁) ⊚ (f₀ ::: g₀) = (f₁ ⊚ f₀ ::: g₁ ∘ g₀) :=
eq_of_drop_last_eq rfl rfl
#align typevec.append_fun_comp' TypeVec.appendFun_comp'
theorem nilFun_comp {α₀ : TypeVec 0} (f₀ : α₀ ⟹ Fin2.elim0) : nilFun ⊚ f₀ = f₀ :=
funext fun x => by apply Fin2.elim0 x -- Porting note: `by apply` is necessary?
#align typevec.nil_fun_comp TypeVec.nilFun_comp
theorem appendFun_comp_id {α : TypeVec n} {β₀ β₁ β₂ : Type u} (g₀ : β₀ → β₁) (g₁ : β₁ → β₂) :
(@id _ α ::: g₁ ∘ g₀) = (id ::: g₁) ⊚ (id ::: g₀) :=
eq_of_drop_last_eq rfl rfl
#align typevec.append_fun_comp_id TypeVec.appendFun_comp_id
@[simp]
theorem dropFun_comp {α₀ α₁ α₂ : TypeVec (n + 1)} (f₀ : α₀ ⟹ α₁) (f₁ : α₁ ⟹ α₂) :
dropFun (f₁ ⊚ f₀) = dropFun f₁ ⊚ dropFun f₀ :=
rfl
#align typevec.drop_fun_comp TypeVec.dropFun_comp
@[simp]
theorem lastFun_comp {α₀ α₁ α₂ : TypeVec (n + 1)} (f₀ : α₀ ⟹ α₁) (f₁ : α₁ ⟹ α₂) :
lastFun (f₁ ⊚ f₀) = lastFun f₁ ∘ lastFun f₀ :=
rfl
#align typevec.last_fun_comp TypeVec.lastFun_comp
theorem appendFun_aux {α α' : TypeVec n} {β β' : Type*} (f : (α ::: β) ⟹ (α' ::: β')) :
(dropFun f ::: lastFun f) = f :=
eq_of_drop_last_eq rfl rfl
#align typevec.append_fun_aux TypeVec.appendFun_aux
theorem appendFun_id_id {α : TypeVec n} {β : Type*} :
(@TypeVec.id n α ::: @_root_.id β) = TypeVec.id :=
eq_of_drop_last_eq rfl rfl
#align typevec.append_fun_id_id TypeVec.appendFun_id_id
instance subsingleton0 : Subsingleton (TypeVec 0) :=
⟨fun a b => funext fun a => by apply Fin2.elim0 a⟩ -- Porting note: `by apply` necessary?
#align typevec.subsingleton0 TypeVec.subsingleton0
-- Porting note: `simp` attribute `TypeVec` moved to file `Tactic/Attr/Register.lean`
/-- cases distinction for 0-length type vector -/
protected def casesNil {β : TypeVec 0 → Sort*} (f : β Fin2.elim0) : ∀ v, β v :=
fun v => cast (by congr; funext i; cases i) f
#align typevec.cases_nil TypeVec.casesNil
/-- cases distinction for (n+1)-length type vector -/
protected def casesCons (n : ℕ) {β : TypeVec (n + 1) → Sort*}
(f : ∀ (t) (v : TypeVec n), β (v ::: t)) :
∀ v, β v :=
fun v : TypeVec (n + 1) => cast (by simp) (f v.last v.drop)
#align typevec.cases_cons TypeVec.casesCons
protected theorem casesNil_append1 {β : TypeVec 0 → Sort*} (f : β Fin2.elim0) :
TypeVec.casesNil f Fin2.elim0 = f :=
rfl
#align typevec.cases_nil_append1 TypeVec.casesNil_append1
protected theorem casesCons_append1 (n : ℕ) {β : TypeVec (n + 1) → Sort*}
(f : ∀ (t) (v : TypeVec n), β (v ::: t)) (v : TypeVec n) (α) :
TypeVec.casesCons n f (v ::: α) = f α v :=
rfl
#align typevec.cases_cons_append1 TypeVec.casesCons_append1
/-- cases distinction for an arrow in the category of 0-length type vectors -/
def typevecCasesNil₃ {β : ∀ v v' : TypeVec 0, v ⟹ v' → Sort*}
(f : β Fin2.elim0 Fin2.elim0 nilFun) :
∀ v v' fs, β v v' fs := fun v v' fs => by
refine cast ?_ f
have eq₁ : v = Fin2.elim0 := by funext i; contradiction
have eq₂ : v' = Fin2.elim0 := by funext i; contradiction
have eq₃ : fs = nilFun := by funext i; contradiction
cases eq₁; cases eq₂; cases eq₃; rfl
#align typevec.typevec_cases_nil₃ TypeVec.typevecCasesNil₃
/-- cases distinction for an arrow in the category of (n+1)-length type vectors -/
def typevecCasesCons₃ (n : ℕ) {β : ∀ v v' : TypeVec (n + 1), v ⟹ v' → Sort*}
(F : ∀ (t t') (f : t → t') (v v' : TypeVec n) (fs : v ⟹ v'),
β (v ::: t) (v' ::: t') (fs ::: f)) :
∀ v v' fs, β v v' fs := by
intro v v'
rw [← append1_drop_last v, ← append1_drop_last v']
intro fs
rw [← split_dropFun_lastFun fs]
apply F
#align typevec.typevec_cases_cons₃ TypeVec.typevecCasesCons₃
/-- specialized cases distinction for an arrow in the category of 0-length type vectors -/
def typevecCasesNil₂ {β : Fin2.elim0 ⟹ Fin2.elim0 → Sort*} (f : β nilFun) : ∀ f, β f := by
intro g
suffices g = nilFun by rwa [this]
ext ⟨⟩
#align typevec.typevec_cases_nil₂ TypeVec.typevecCasesNil₂
/-- specialized cases distinction for an arrow in the category of (n+1)-length type vectors -/
def typevecCasesCons₂ (n : ℕ) (t t' : Type*) (v v' : TypeVec n)
{β : (v ::: t) ⟹ (v' ::: t') → Sort*}
(F : ∀ (f : t → t') (fs : v ⟹ v'), β (fs ::: f)) : ∀ fs, β fs := by
intro fs
rw [← split_dropFun_lastFun fs]
apply F
#align typevec.typevec_cases_cons₂ TypeVec.typevecCasesCons₂
theorem typevecCasesNil₂_appendFun {β : Fin2.elim0 ⟹ Fin2.elim0 → Sort*} (f : β nilFun) :
typevecCasesNil₂ f nilFun = f :=
rfl
#align typevec.typevec_cases_nil₂_append_fun TypeVec.typevecCasesNil₂_appendFun
theorem typevecCasesCons₂_appendFun (n : ℕ) (t t' : Type*) (v v' : TypeVec n)
{β : (v ::: t) ⟹ (v' ::: t') → Sort*}
(F : ∀ (f : t → t') (fs : v ⟹ v'), β (fs ::: f))
(f fs) :
typevecCasesCons₂ n t t' v v' F (fs ::: f) = F f fs :=
rfl
#align typevec.typevec_cases_cons₂_append_fun TypeVec.typevecCasesCons₂_appendFun
-- for lifting predicates and relations
/-- `PredLast α p x` predicates `p` of the last element of `x : α.append1 β`. -/
def PredLast (α : TypeVec n) {β : Type*} (p : β → Prop) : ∀ ⦃i⦄, (α.append1 β) i → Prop
| Fin2.fs _ => fun _ => True
| Fin2.fz => p
#align typevec.pred_last TypeVec.PredLast
/-- `RelLast α r x y` says that `p` the last elements of `x y : α.append1 β` are related by `r` and
all the other elements are equal. -/
def RelLast (α : TypeVec n) {β γ : Type u} (r : β → γ → Prop) :
∀ ⦃i⦄, (α.append1 β) i → (α.append1 γ) i → Prop
| Fin2.fs _ => Eq
| Fin2.fz => r
#align typevec.rel_last TypeVec.RelLast
section Liftp'
open Nat
/-- `repeat n t` is a `n-length` type vector that contains `n` occurrences of `t` -/
def «repeat» : ∀ (n : ℕ), Sort _ → TypeVec n
| 0, _ => Fin2.elim0
| Nat.succ i, t => append1 («repeat» i t) t
#align typevec.repeat TypeVec.repeat
/-- `prod α β` is the pointwise product of the components of `α` and `β` -/
def prod : ∀ {n}, TypeVec.{u} n → TypeVec.{u} n → TypeVec n
| 0, _, _ => Fin2.elim0
| n + 1, α, β => (@prod n (drop α) (drop β)) ::: (last α × last β)
#align typevec.prod TypeVec.prod
@[inherit_doc] scoped[MvFunctor] infixl:45 " ⊗ " => TypeVec.prod
/- porting note: the order of universes in `const` is reversed w.r.t. mathlib3 -/
/-- `const x α` is an arrow that ignores its source and constructs a `TypeVec` that
contains nothing but `x` -/
protected def const {β} (x : β) : ∀ {n} (α : TypeVec n), α ⟹ «repeat» _ β
| succ _, α, Fin2.fs _ => TypeVec.const x (drop α) _
| succ _, _, Fin2.fz => fun _ => x
#align typevec.const TypeVec.const
open Function (uncurry)
/-- vector of equality on a product of vectors -/
def repeatEq : ∀ {n} (α : TypeVec n), (α ⊗ α) ⟹ «repeat» _ Prop
| 0, _ => nilFun
| succ _, α => repeatEq (drop α) ::: uncurry Eq
#align typevec.repeat_eq TypeVec.repeatEq
theorem const_append1 {β γ} (x : γ) {n} (α : TypeVec n) :
TypeVec.const x (α ::: β) = appendFun (TypeVec.const x α) fun _ => x := by
ext i : 1; cases i <;> rfl
#align typevec.const_append1 TypeVec.const_append1
theorem eq_nilFun {α β : TypeVec 0} (f : α ⟹ β) : f = nilFun := by
ext x; cases x
#align typevec.eq_nil_fun TypeVec.eq_nilFun
theorem id_eq_nilFun {α : TypeVec 0} : @id _ α = nilFun := by
ext x; cases x
#align typevec.id_eq_nil_fun TypeVec.id_eq_nilFun
theorem const_nil {β} (x : β) (α : TypeVec 0) : TypeVec.const x α = nilFun := by
ext i : 1; cases i
#align typevec.const_nil TypeVec.const_nil
@[typevec]
theorem repeat_eq_append1 {β} {n} (α : TypeVec n) :
repeatEq (α ::: β) = splitFun (α := (α ⊗ α) ::: _ )
(α' := («repeat» n Prop) ::: _) (repeatEq α) (uncurry Eq) := by
induction n <;> rfl
#align typevec.repeat_eq_append1 TypeVec.repeat_eq_append1
@[typevec]
theorem repeat_eq_nil (α : TypeVec 0) : repeatEq α = nilFun := by ext i; cases i
#align typevec.repeat_eq_nil TypeVec.repeat_eq_nil
/-- predicate on a type vector to constrain only the last object -/
def PredLast' (α : TypeVec n) {β : Type*} (p : β → Prop) :
(α ::: β) ⟹ «repeat» (n + 1) Prop :=
splitFun (TypeVec.const True α) p
#align typevec.pred_last' TypeVec.PredLast'
/-- predicate on the product of two type vectors to constrain only their last object -/
def RelLast' (α : TypeVec n) {β : Type*} (p : β → β → Prop) :
(α ::: β) ⊗ (α ::: β) ⟹ «repeat» (n + 1) Prop :=
splitFun (repeatEq α) (uncurry p)
#align typevec.rel_last' TypeVec.RelLast'
/-- given `F : TypeVec.{u} (n+1) → Type u`, `curry F : Type u → TypeVec.{u} → Type u`,
i.e. its first argument can be fed in separately from the rest of the vector of arguments -/
def Curry (F : TypeVec.{u} (n + 1) → Type*) (α : Type u) (β : TypeVec.{u} n) : Type _ :=
F (β ::: α)
#align typevec.curry TypeVec.Curry
instance Curry.inhabited (F : TypeVec.{u} (n + 1) → Type*) (α : Type u) (β : TypeVec.{u} n)
[I : Inhabited (F <| (β ::: α))] : Inhabited (Curry F α β) :=
I
#align typevec.curry.inhabited TypeVec.Curry.inhabited
/-- arrow to remove one element of a `repeat` vector -/
def dropRepeat (α : Type*) : ∀ {n}, drop («repeat» (succ n) α) ⟹ «repeat» n α
| succ _, Fin2.fs i => dropRepeat α i
| succ _, Fin2.fz => fun (a : α) => a
#align typevec.drop_repeat TypeVec.dropRepeat
/-- projection for a repeat vector -/
def ofRepeat {α : Sort _} : ∀ {n i}, «repeat» n α i → α
| _, Fin2.fz => fun (a : α) => a
| _, Fin2.fs i => @ofRepeat _ _ i
#align typevec.of_repeat TypeVec.ofRepeat
theorem const_iff_true {α : TypeVec n} {i x p} : ofRepeat (TypeVec.const p α i x) ↔ p := by
induction i with
| fz => rfl
| fs _ ih => erw [TypeVec.const, @ih (drop α) x]
#align typevec.const_iff_true TypeVec.const_iff_true
section
variable {α β γ : TypeVec.{u} n}
variable (p : α ⟹ «repeat» n Prop) (r : α ⊗ α ⟹ «repeat» n Prop)
/-- left projection of a `prod` vector -/
def prod.fst : ∀ {n} {α β : TypeVec.{u} n}, α ⊗ β ⟹ α
| succ _, α, β, Fin2.fs i => @prod.fst _ (drop α) (drop β) i
| succ _, _, _, Fin2.fz => Prod.fst
#align typevec.prod.fst TypeVec.prod.fst
/-- right projection of a `prod` vector -/
def prod.snd : ∀ {n} {α β : TypeVec.{u} n}, α ⊗ β ⟹ β
| succ _, α, β, Fin2.fs i => @prod.snd _ (drop α) (drop β) i
| succ _, _, _, Fin2.fz => Prod.snd
#align typevec.prod.snd TypeVec.prod.snd
/-- introduce a product where both components are the same -/
def prod.diag : ∀ {n} {α : TypeVec.{u} n}, α ⟹ α ⊗ α
| succ _, α, Fin2.fs _, x => @prod.diag _ (drop α) _ x
| succ _, _, Fin2.fz, x => (x, x)
#align typevec.prod.diag TypeVec.prod.diag
/-- constructor for `prod` -/
def prod.mk : ∀ {n} {α β : TypeVec.{u} n} (i : Fin2 n), α i → β i → (α ⊗ β) i
| succ _, α, β, Fin2.fs i => mk (α := fun i => α i.fs) (β := fun i => β i.fs) i
| succ _, _, _, Fin2.fz => Prod.mk
#align typevec.prod.mk TypeVec.prod.mk
end
@[simp]
theorem prod_fst_mk {α β : TypeVec n} (i : Fin2 n) (a : α i) (b : β i) :
TypeVec.prod.fst i (prod.mk i a b) = a := by
induction' i with _ _ _ i_ih
· simp_all only [prod.fst, prod.mk]
apply i_ih
#align typevec.prod_fst_mk TypeVec.prod_fst_mk
@[simp]
theorem prod_snd_mk {α β : TypeVec n} (i : Fin2 n) (a : α i) (b : β i) :
TypeVec.prod.snd i (prod.mk i a b) = b := by
induction' i with _ _ _ i_ih
· simp_all [prod.snd, prod.mk]
apply i_ih
#align typevec.prod_snd_mk TypeVec.prod_snd_mk
/-- `prod` is functorial -/
protected def prod.map : ∀ {n} {α α' β β' : TypeVec.{u} n}, α ⟹ β → α' ⟹ β' → α ⊗ α' ⟹ β ⊗ β'
| succ _, α, α', β, β', x, y, Fin2.fs _, a =>
@prod.map _ (drop α) (drop α') (drop β) (drop β') (dropFun x) (dropFun y) _ a
| succ _, _, _, _, _, x, y, Fin2.fz, a => (x _ a.1, y _ a.2)
#align typevec.prod.map TypeVec.prod.map
@[inherit_doc] scoped[MvFunctor] infixl:45 " ⊗' " => TypeVec.prod.map
theorem fst_prod_mk {α α' β β' : TypeVec n} (f : α ⟹ β) (g : α' ⟹ β') :
TypeVec.prod.fst ⊚ (f ⊗' g) = f ⊚ TypeVec.prod.fst := by
funext i; induction i with
| fz => rfl
| fs _ i_ih => apply i_ih
#align typevec.fst_prod_mk TypeVec.fst_prod_mk
theorem snd_prod_mk {α α' β β' : TypeVec n} (f : α ⟹ β) (g : α' ⟹ β') :
TypeVec.prod.snd ⊚ (f ⊗' g) = g ⊚ TypeVec.prod.snd := by
funext i; induction i with
| fz => rfl
| fs _ i_ih => apply i_ih
#align typevec.snd_prod_mk TypeVec.snd_prod_mk
theorem fst_diag {α : TypeVec n} : TypeVec.prod.fst ⊚ (prod.diag : α ⟹ _) = id := by
funext i; induction i with
| fz => rfl
| fs _ i_ih => apply i_ih
#align typevec.fst_diag TypeVec.fst_diag
theorem snd_diag {α : TypeVec n} : TypeVec.prod.snd ⊚ (prod.diag : α ⟹ _) = id := by
funext i; induction i with
| fz => rfl
| fs _ i_ih => apply i_ih
#align typevec.snd_diag TypeVec.snd_diag
theorem repeatEq_iff_eq {α : TypeVec n} {i x y} :
ofRepeat (repeatEq α i (prod.mk _ x y)) ↔ x = y := by
induction' i with _ _ _ i_ih
· rfl
erw [repeatEq, i_ih]
#align typevec.repeat_eq_iff_eq TypeVec.repeatEq_iff_eq
/-- given a predicate vector `p` over vector `α`, `Subtype_ p` is the type of vectors
that contain an `α` that satisfies `p` -/
def Subtype_ : ∀ {n} {α : TypeVec.{u} n}, (α ⟹ «repeat» n Prop) → TypeVec n
| _, _, p, Fin2.fz => Subtype fun x => p Fin2.fz x
| _, _, p, Fin2.fs i => Subtype_ (dropFun p) i
#align typevec.subtype_ TypeVec.Subtype_
/-- projection on `Subtype_` -/
def subtypeVal : ∀ {n} {α : TypeVec.{u} n} (p : α ⟹ «repeat» n Prop), Subtype_ p ⟹ α
| succ n, _, _, Fin2.fs i => @subtypeVal n _ _ i
| succ _, _, _, Fin2.fz => Subtype.val
#align typevec.subtype_val TypeVec.subtypeVal
/-- arrow that rearranges the type of `Subtype_` to turn a subtype of vector into
a vector of subtypes -/
def toSubtype :
∀ {n} {α : TypeVec.{u} n} (p : α ⟹ «repeat» n Prop),
(fun i : Fin2 n => { x // ofRepeat <| p i x }) ⟹ Subtype_ p
| succ _, _, p, Fin2.fs i, x => toSubtype (dropFun p) i x
| succ _, _, _, Fin2.fz, x => x
#align typevec.to_subtype TypeVec.toSubtype
/-- arrow that rearranges the type of `Subtype_` to turn a vector of subtypes
into a subtype of vector -/
def ofSubtype {n} {α : TypeVec.{u} n} (p : α ⟹ «repeat» n Prop) :
Subtype_ p ⟹ fun i : Fin2 n => { x // ofRepeat <| p i x }
| Fin2.fs i, x => ofSubtype _ i x
| Fin2.fz, x => x
#align typevec.of_subtype TypeVec.ofSubtype
/-- similar to `toSubtype` adapted to relations (i.e. predicate on product) -/
def toSubtype' {n} {α : TypeVec.{u} n} (p : α ⊗ α ⟹ «repeat» n Prop) :
(fun i : Fin2 n => { x : α i × α i // ofRepeat <| p i (prod.mk _ x.1 x.2) }) ⟹ Subtype_ p
| Fin2.fs i, x => toSubtype' (dropFun p) i x
| Fin2.fz, x => ⟨x.val, cast (by congr) x.property⟩
#align typevec.to_subtype' TypeVec.toSubtype'
/-- similar to `of_subtype` adapted to relations (i.e. predicate on product) -/
def ofSubtype' {n} {α : TypeVec.{u} n} (p : α ⊗ α ⟹ «repeat» n Prop) :
Subtype_ p ⟹ fun i : Fin2 n => { x : α i × α i // ofRepeat <| p i (prod.mk _ x.1 x.2) }
| Fin2.fs i, x => ofSubtype' _ i x
| Fin2.fz, x => ⟨x.val, cast (by congr) x.property⟩
#align typevec.of_subtype' TypeVec.ofSubtype'
/-- similar to `diag` but the target vector is a `Subtype_`
guaranteeing the equality of the components -/
def diagSub {n} {α : TypeVec.{u} n} : α ⟹ Subtype_ (repeatEq α)
| Fin2.fs _, x => @diagSub _ (drop α) _ x
| Fin2.fz, x => ⟨(x, x), rfl⟩
#align typevec.diag_sub TypeVec.diagSub
theorem subtypeVal_nil {α : TypeVec.{u} 0} (ps : α ⟹ «repeat» 0 Prop) :
TypeVec.subtypeVal ps = nilFun :=
funext <| by rintro ⟨⟩
#align typevec.subtype_val_nil TypeVec.subtypeVal_nil
theorem diag_sub_val {n} {α : TypeVec.{u} n} : subtypeVal (repeatEq α) ⊚ diagSub = prod.diag := by
ext i x
induction' i with _ _ _ i_ih
· simp only [comp, subtypeVal, repeatEq.eq_2, diagSub, prod.diag]
apply @i_ih (drop α)
#align typevec.diag_sub_val TypeVec.diag_sub_val
theorem prod_id : ∀ {n} {α β : TypeVec.{u} n}, (id ⊗' id) = (id : α ⊗ β ⟹ _) := by
intros
ext i a
induction' i with _ _ _ i_ih
· cases a
rfl
· apply i_ih
#align typevec.prod_id TypeVec.prod_id
theorem append_prod_appendFun {n} {α α' β β' : TypeVec.{u} n} {φ φ' ψ ψ' : Type u}
{f₀ : α ⟹ α'} {g₀ : β ⟹ β'} {f₁ : φ → φ'} {g₁ : ψ → ψ'} :
((f₀ ⊗' g₀) ::: (_root_.Prod.map f₁ g₁)) = ((f₀ ::: f₁) ⊗' (g₀ ::: g₁)) := by
ext i a
cases i
· cases a
rfl
· rfl
#align typevec.append_prod_append_fun TypeVec.append_prod_appendFun
end Liftp'
@[simp]
theorem dropFun_diag {α} : dropFun (@prod.diag (n + 1) α) = prod.diag := by
ext i : 2
induction i <;> simp [dropFun, *] <;> rfl
#align typevec.drop_fun_diag TypeVec.dropFun_diag
@[simp]
theorem dropFun_subtypeVal {α} (p : α ⟹ «repeat» (n + 1) Prop) :
dropFun (subtypeVal p) = subtypeVal _ :=
rfl
#align typevec.drop_fun_subtype_val TypeVec.dropFun_subtypeVal
@[simp]
theorem lastFun_subtypeVal {α} (p : α ⟹ «repeat» (n + 1) Prop) :
lastFun (subtypeVal p) = Subtype.val :=
rfl
#align typevec.last_fun_subtype_val TypeVec.lastFun_subtypeVal
@[simp]
theorem dropFun_toSubtype {α} (p : α ⟹ «repeat» (n + 1) Prop) :
dropFun (toSubtype p) = toSubtype _ := by
ext i
induction i <;> simp [dropFun, *] <;> rfl
#align typevec.drop_fun_to_subtype TypeVec.dropFun_toSubtype
@[simp]
theorem lastFun_toSubtype {α} (p : α ⟹ «repeat» (n + 1) Prop) :
lastFun (toSubtype p) = _root_.id := by
ext i : 2
induction i; simp [dropFun, *]; rfl
#align typevec.last_fun_to_subtype TypeVec.lastFun_toSubtype
@[simp]
theorem dropFun_of_subtype {α} (p : α ⟹ «repeat» (n + 1) Prop) :
dropFun (ofSubtype p) = ofSubtype _ := by
ext i : 2
induction i <;> simp [dropFun, *] <;> rfl
#align typevec.drop_fun_of_subtype TypeVec.dropFun_of_subtype
@[simp]
theorem lastFun_of_subtype {α} (p : α ⟹ «repeat» (n + 1) Prop) :
lastFun (ofSubtype p) = _root_.id := by
ext i : 2
induction i; simp [dropFun, *]; rfl
#align typevec.last_fun_of_subtype TypeVec.lastFun_of_subtype
@[simp]
theorem dropFun_RelLast' {α : TypeVec n} {β} (R : β → β → Prop) :
dropFun (RelLast' α R) = repeatEq α :=
rfl
#align typevec.drop_fun_rel_last TypeVec.dropFun_RelLast'
attribute [simp] drop_append1'
open MvFunctor
@[simp]
| Mathlib/Data/TypeVec.lean | 730 | 733 | theorem dropFun_prod {α α' β β' : TypeVec (n + 1)} (f : α ⟹ β) (f' : α' ⟹ β') :
dropFun (f ⊗' f') = (dropFun f ⊗' dropFun f') := by |
ext i : 2
induction i <;> simp [dropFun, *] <;> rfl
|
/-
Copyright (c) 2022 Michael Stoll. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Stoll
-/
import Mathlib.NumberTheory.LegendreSymbol.JacobiSymbol
#align_import number_theory.legendre_symbol.norm_num from "leanprover-community/mathlib"@"e2621d935895abe70071ab828a4ee6e26a52afe4"
/-!
# A `norm_num` extension for Jacobi and Legendre symbols
We extend the `norm_num` tactic so that it can be used to provably compute
the value of the Jacobi symbol `J(a | b)` or the Legendre symbol `legendreSym p a` when
the arguments are numerals.
## Implementation notes
We use the Law of Quadratic Reciprocity for the Jacobi symbol to compute the value of `J(a | b)`
efficiently, roughly comparable in effort with the euclidean algorithm for the computation
of the gcd of `a` and `b`. More precisely, the computation is done in the following steps.
* Use `J(a | 0) = 1` (an artifact of the definition) and `J(a | 1) = 1` to deal
with corner cases.
* Use `J(a | b) = J(a % b | b)` to reduce to the case that `a` is a natural number.
We define a version of the Jacobi symbol restricted to natural numbers for use in
the following steps; see `NormNum.jacobiSymNat`. (But we'll continue to write `J(a | b)`
in this description.)
* Remove powers of two from `b`. This is done via `J(2a | 2b) = 0` and
`J(2a+1 | 2b) = J(2a+1 | b)` (another artifact of the definition).
* Now `0 ≤ a < b` and `b` is odd. If `b = 1`, then the value is `1`.
If `a = 0` (and `b > 1`), then the value is `0`. Otherwise, we remove powers of two from `a`
via `J(4a | b) = J(a | b)` and `J(2a | b) = ±J(a | b)`, where the sign is determined
by the residue class of `b` mod 8, to reduce to `a` odd.
* Once `a` is odd, we use Quadratic Reciprocity (QR) in the form
`J(a | b) = ±J(b % a | a)`, where the sign is determined by the residue classes
of `a` and `b` mod 4. We are then back in the previous case.
We provide customized versions of these results for the various reduction steps,
where we encode the residue classes mod 2, mod 4, or mod 8 by using hypotheses like
`a % n = b`. In this way, the only divisions we have to compute and prove
are the ones occurring in the use of QR above.
-/
section Lemmas
namespace Mathlib.Meta.NormNum
/-- The Jacobi symbol restricted to natural numbers in both arguments. -/
def jacobiSymNat (a b : ℕ) : ℤ :=
jacobiSym a b
#align norm_num.jacobi_sym_nat Mathlib.Meta.NormNum.jacobiSymNat
/-!
### API Lemmas
We repeat part of the API for `jacobiSym` with `NormNum.jacobiSymNat` and without implicit
arguments, in a form that is suitable for constructing proofs in `norm_num`.
-/
/-- Base cases: `b = 0`, `b = 1`, `a = 0`, `a = 1`. -/
| Mathlib/Tactic/NormNum/LegendreSymbol.lean | 68 | 69 | theorem jacobiSymNat.zero_right (a : ℕ) : jacobiSymNat a 0 = 1 := by |
rw [jacobiSymNat, jacobiSym.zero_right]
|
/-
Copyright (c) 2021 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Yury Kudryashov
-/
import Mathlib.Topology.Order.LocalExtr
import Mathlib.Topology.Order.IntermediateValue
import Mathlib.Topology.Support
import Mathlib.Topology.Order.IsLUB
#align_import topology.algebra.order.compact from "leanprover-community/mathlib"@"3efd324a3a31eaa40c9d5bfc669c4fafee5f9423"
/-!
# Compactness of a closed interval
In this file we prove that a closed interval in a conditionally complete linear ordered type with
order topology (or a product of such types) is compact.
We prove the extreme value theorem (`IsCompact.exists_isMinOn`, `IsCompact.exists_isMaxOn`):
a continuous function on a compact set takes its minimum and maximum values. We provide many
variations of this theorem.
We also prove that the image of a closed interval under a continuous map is a closed interval, see
`ContinuousOn.image_Icc`.
## Tags
compact, extreme value theorem
-/
open Filter OrderDual TopologicalSpace Function Set
open scoped Filter Topology
/-!
### Compactness of a closed interval
In this section we define a typeclass `CompactIccSpace α` saying that all closed intervals in `α`
are compact. Then we provide an instance for a `ConditionallyCompleteLinearOrder` and prove that
the product (both `α × β` and an indexed product) of spaces with this property inherits the
property.
We also prove some simple lemmas about spaces with this property.
-/
/-- This typeclass says that all closed intervals in `α` are compact. This is true for all
conditionally complete linear orders with order topology and products (finite or infinite)
of such spaces. -/
class CompactIccSpace (α : Type*) [TopologicalSpace α] [Preorder α] : Prop where
/-- A closed interval `Set.Icc a b` is a compact set for all `a` and `b`. -/
isCompact_Icc : ∀ {a b : α}, IsCompact (Icc a b)
#align compact_Icc_space CompactIccSpace
export CompactIccSpace (isCompact_Icc)
variable {α : Type*}
-- Porting note (#10756): new lemma;
-- Porting note (#11215): TODO: make it the definition
lemma CompactIccSpace.mk' [TopologicalSpace α] [Preorder α]
(h : ∀ {a b : α}, a ≤ b → IsCompact (Icc a b)) : CompactIccSpace α where
isCompact_Icc {a b} := by_cases h fun hab => by rw [Icc_eq_empty hab]; exact isCompact_empty
-- Porting note (#10756): new lemma;
-- Porting note (#11215): TODO: drop one `'`
lemma CompactIccSpace.mk'' [TopologicalSpace α] [PartialOrder α]
(h : ∀ {a b : α}, a < b → IsCompact (Icc a b)) : CompactIccSpace α :=
.mk' fun hab => hab.eq_or_lt.elim (by rintro rfl; simp) h
instance [TopologicalSpace α] [Preorder α] [CompactIccSpace α] : CompactIccSpace (αᵒᵈ) where
isCompact_Icc := by
intro a b
convert isCompact_Icc (α := α) (a := b) (b := a) using 1
exact dual_Icc (α := α)
/-- A closed interval in a conditionally complete linear order is compact. -/
instance (priority := 100) ConditionallyCompleteLinearOrder.toCompactIccSpace (α : Type*)
[ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [OrderTopology α] :
CompactIccSpace α := by
refine .mk'' fun {a b} hlt => ?_
rcases le_or_lt a b with hab | hab
swap
· simp [hab]
refine isCompact_iff_ultrafilter_le_nhds.2 fun f hf => ?_
contrapose! hf
rw [le_principal_iff]
have hpt : ∀ x ∈ Icc a b, {x} ∉ f := fun x hx hxf =>
hf x hx ((le_pure_iff.2 hxf).trans (pure_le_nhds x))
set s := { x ∈ Icc a b | Icc a x ∉ f }
have hsb : b ∈ upperBounds s := fun x hx => hx.1.2
have sbd : BddAbove s := ⟨b, hsb⟩
have ha : a ∈ s := by simp [s, hpt, hab]
rcases hab.eq_or_lt with (rfl | _hlt)
· exact ha.2
-- Porting note: the `obtain` below was instead
-- `set c := Sup s`
-- `have hsc : IsLUB s c := isLUB_csSup ⟨a, ha⟩ sbd`
obtain ⟨c, hsc⟩ : ∃ c, IsLUB s c := ⟨sSup s, isLUB_csSup ⟨a, ha⟩ ⟨b, hsb⟩⟩
have hc : c ∈ Icc a b := ⟨hsc.1 ha, hsc.2 hsb⟩
specialize hf c hc
have hcs : c ∈ s := by
rcases hc.1.eq_or_lt with (rfl | hlt); · assumption
refine ⟨hc, fun hcf => hf fun U hU => ?_⟩
rcases (mem_nhdsWithin_Iic_iff_exists_Ioc_subset' hlt).1 (mem_nhdsWithin_of_mem_nhds hU)
with ⟨x, hxc, hxU⟩
rcases ((hsc.frequently_mem ⟨a, ha⟩).and_eventually
(Ioc_mem_nhdsWithin_Iic ⟨hxc, le_rfl⟩)).exists with ⟨y, ⟨_hyab, hyf⟩, hy⟩
refine mem_of_superset (f.diff_mem_iff.2 ⟨hcf, hyf⟩) (Subset.trans ?_ hxU)
rw [diff_subset_iff]
exact Subset.trans Icc_subset_Icc_union_Ioc <| union_subset_union Subset.rfl <|
Ioc_subset_Ioc_left hy.1.le
rcases hc.2.eq_or_lt with (rfl | hlt)
· exact hcs.2
exfalso
refine hf fun U hU => ?_
rcases (mem_nhdsWithin_Ici_iff_exists_mem_Ioc_Ico_subset hlt).1
(mem_nhdsWithin_of_mem_nhds hU) with
⟨y, hxy, hyU⟩
refine mem_of_superset ?_ hyU; clear! U
have hy : y ∈ Icc a b := ⟨hc.1.trans hxy.1.le, hxy.2⟩
by_cases hay : Icc a y ∈ f
· refine mem_of_superset (f.diff_mem_iff.2 ⟨f.diff_mem_iff.2 ⟨hay, hcs.2⟩, hpt y hy⟩) ?_
rw [diff_subset_iff, union_comm, Ico_union_right hxy.1.le, diff_subset_iff]
exact Icc_subset_Icc_union_Icc
· exact ((hsc.1 ⟨hy, hay⟩).not_lt hxy.1).elim
#align conditionally_complete_linear_order.to_compact_Icc_space ConditionallyCompleteLinearOrder.toCompactIccSpace
instance {ι : Type*} {α : ι → Type*} [∀ i, Preorder (α i)] [∀ i, TopologicalSpace (α i)]
[∀ i, CompactIccSpace (α i)] : CompactIccSpace (∀ i, α i) :=
⟨fun {a b} => (pi_univ_Icc a b ▸ isCompact_univ_pi) fun _ => isCompact_Icc⟩
instance Pi.compact_Icc_space' {α β : Type*} [Preorder β] [TopologicalSpace β]
[CompactIccSpace β] : CompactIccSpace (α → β) :=
inferInstance
#align pi.compact_Icc_space' Pi.compact_Icc_space'
instance {α β : Type*} [Preorder α] [TopologicalSpace α] [CompactIccSpace α] [Preorder β]
[TopologicalSpace β] [CompactIccSpace β] : CompactIccSpace (α × β) :=
⟨fun {a b} => (Icc_prod_eq a b).symm ▸ isCompact_Icc.prod isCompact_Icc⟩
/-- An unordered closed interval is compact. -/
theorem isCompact_uIcc {α : Type*} [LinearOrder α] [TopologicalSpace α] [CompactIccSpace α]
{a b : α} : IsCompact (uIcc a b) :=
isCompact_Icc
#align is_compact_uIcc isCompact_uIcc
-- See note [lower instance priority]
/-- A complete linear order is a compact space.
We do not register an instance for a `[CompactIccSpace α]` because this would only add instances
for products (indexed or not) of complete linear orders, and we have instances with higher priority
that cover these cases. -/
instance (priority := 100) compactSpace_of_completeLinearOrder {α : Type*} [CompleteLinearOrder α]
[TopologicalSpace α] [OrderTopology α] : CompactSpace α :=
⟨by simp only [← Icc_bot_top, isCompact_Icc]⟩
#align compact_space_of_complete_linear_order compactSpace_of_completeLinearOrder
section
variable {α : Type*} [Preorder α] [TopologicalSpace α] [CompactIccSpace α]
instance compactSpace_Icc (a b : α) : CompactSpace (Icc a b) :=
isCompact_iff_compactSpace.mp isCompact_Icc
#align compact_space_Icc compactSpace_Icc
end
/-!
### Extreme value theorem
-/
section LinearOrder
variable {α β γ : Type*} [LinearOrder α] [TopologicalSpace α]
[TopologicalSpace β] [TopologicalSpace γ]
| Mathlib/Topology/Algebra/Order/Compact.lean | 178 | 188 | theorem IsCompact.exists_isLeast [ClosedIicTopology α] {s : Set α} (hs : IsCompact s)
(ne_s : s.Nonempty) : ∃ x, IsLeast s x := by |
haveI : Nonempty s := ne_s.to_subtype
suffices (s ∩ ⋂ x ∈ s, Iic x).Nonempty from
⟨this.choose, this.choose_spec.1, mem_iInter₂.mp this.choose_spec.2⟩
rw [biInter_eq_iInter]
by_contra H
rw [not_nonempty_iff_eq_empty] at H
rcases hs.elim_directed_family_closed (fun x : s => Iic ↑x) (fun x => isClosed_Iic) H
(Monotone.directed_ge fun _ _ h => Iic_subset_Iic.mpr h) with ⟨x, hx⟩
exact not_nonempty_iff_eq_empty.mpr hx ⟨x, x.2, le_rfl⟩
|
/-
Copyright (c) 2020 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import Mathlib.Algebra.Group.Defs
#align_import algebra.invertible from "leanprover-community/mathlib"@"722b3b152ddd5e0cf21c0a29787c76596cb6b422"
/-!
# Invertible elements
This file defines a typeclass `Invertible a` for elements `a` with a two-sided
multiplicative inverse.
The intent of the typeclass is to provide a way to write e.g. `⅟2` in a ring
like `ℤ[1/2]` where some inverses exist but there is no general `⁻¹` operator;
or to specify that a field has characteristic `≠ 2`.
It is the `Type`-valued analogue to the `Prop`-valued `IsUnit`.
For constructions of the invertible element given a characteristic, see
`Algebra/CharP/Invertible` and other lemmas in that file.
## Notation
* `⅟a` is `Invertible.invOf a`, the inverse of `a`
## Implementation notes
The `Invertible` class lives in `Type`, not `Prop`, to make computation easier.
If multiplication is associative, `Invertible` is a subsingleton anyway.
The `simp` normal form tries to normalize `⅟a` to `a ⁻¹`. Otherwise, it pushes
`⅟` inside the expression as much as possible.
Since `Invertible a` is not a `Prop` (but it is a `Subsingleton`), we have to be careful about
coherence issues: we should avoid having multiple non-defeq instances for `Invertible a` in the
same context. This file plays it safe and uses `def` rather than `instance` for most definitions,
users can choose which instances to use at the point of use.
For example, here's how you can use an `Invertible 1` instance:
```lean
variable {α : Type*} [Monoid α]
def something_that_needs_inverses (x : α) [Invertible x] := sorry
section
attribute [local instance] invertibleOne
def something_one := something_that_needs_inverses 1
end
```
### Typeclass search vs. unification for `simp` lemmas
Note that since typeclass search searches the local context first, an instance argument like
`[Invertible a]` might sometimes be filled by a different term than the one we'd find by
unification (i.e., the one that's used as an implicit argument to `⅟`).
This can cause issues with `simp`. Therefore, some lemmas are duplicated, with the `@[simp]`
versions using unification and the user-facing ones using typeclass search.
Since unification can make backwards rewriting (e.g. `rw [← mylemma]`) impractical, we still want
the instance-argument versions; therefore the user-facing versions retain the instance arguments
and the original lemma name, whereas the `@[simp]`/unification ones acquire a `'` at the end of
their name.
We modify this file according to the above pattern only as needed; therefore, most `@[simp]` lemmas
here are not part of such a duplicate pair. This is not (yet) intended as a permanent solution.
See Zulip: [https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/Invertible.201.20simps/near/320558233]
## Tags
invertible, inverse element, invOf, a half, one half, a third, one third, ½, ⅓
-/
assert_not_exists MonoidWithZero
assert_not_exists DenselyOrdered
universe u
variable {α : Type u}
/-- `Invertible a` gives a two-sided multiplicative inverse of `a`. -/
class Invertible [Mul α] [One α] (a : α) : Type u where
/-- The inverse of an `Invertible` element -/
invOf : α
/-- `invOf a` is a left inverse of `a` -/
invOf_mul_self : invOf * a = 1
/-- `invOf a` is a right inverse of `a` -/
mul_invOf_self : a * invOf = 1
#align invertible Invertible
/-- The inverse of an `Invertible` element -/
prefix:max
"⅟" =>-- This notation has the same precedence as `Inv.inv`.
Invertible.invOf
@[simp]
theorem invOf_mul_self' [Mul α] [One α] (a : α) {_ : Invertible a} : ⅟ a * a = 1 :=
Invertible.invOf_mul_self
theorem invOf_mul_self [Mul α] [One α] (a : α) [Invertible a] : ⅟ a * a = 1 :=
Invertible.invOf_mul_self
#align inv_of_mul_self invOf_mul_self
@[simp]
theorem mul_invOf_self' [Mul α] [One α] (a : α) {_ : Invertible a} : a * ⅟ a = 1 :=
Invertible.mul_invOf_self
theorem mul_invOf_self [Mul α] [One α] (a : α) [Invertible a] : a * ⅟ a = 1 :=
Invertible.mul_invOf_self
#align mul_inv_of_self mul_invOf_self
@[simp]
theorem invOf_mul_self_assoc' [Monoid α] (a b : α) {_ : Invertible a} : ⅟ a * (a * b) = b := by
rw [← mul_assoc, invOf_mul_self, one_mul]
theorem invOf_mul_self_assoc [Monoid α] (a b : α) [Invertible a] : ⅟ a * (a * b) = b := by
rw [← mul_assoc, invOf_mul_self, one_mul]
#align inv_of_mul_self_assoc invOf_mul_self_assoc
@[simp]
theorem mul_invOf_self_assoc' [Monoid α] (a b : α) {_ : Invertible a} : a * (⅟ a * b) = b := by
rw [← mul_assoc, mul_invOf_self, one_mul]
theorem mul_invOf_self_assoc [Monoid α] (a b : α) [Invertible a] : a * (⅟ a * b) = b := by
rw [← mul_assoc, mul_invOf_self, one_mul]
#align mul_inv_of_self_assoc mul_invOf_self_assoc
@[simp]
| Mathlib/Algebra/Group/Invertible/Defs.lean | 133 | 134 | theorem mul_invOf_mul_self_cancel' [Monoid α] (a b : α) {_ : Invertible b} : a * ⅟ b * b = a := by |
simp [mul_assoc]
|
/-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Jens Wagemaker
-/
import Mathlib.Algebra.Group.Even
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Algebra.GroupWithZero.Hom
import Mathlib.Algebra.Group.Commute.Units
import Mathlib.Algebra.Group.Units.Hom
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
import Mathlib.Algebra.Ring.Units
#align_import algebra.associated from "leanprover-community/mathlib"@"2f3994e1b117b1e1da49bcfb67334f33460c3ce4"
/-!
# Associated, prime, and irreducible elements.
In this file we define the predicate `Prime p`
saying that an element of a commutative monoid with zero is prime.
Namely, `Prime p` means that `p` isn't zero, it isn't a unit,
and `p ∣ a * b → p ∣ a ∨ p ∣ b` for all `a`, `b`;
In decomposition monoids (e.g., `ℕ`, `ℤ`), this predicate is equivalent to `Irreducible`,
however this is not true in general.
We also define an equivalence relation `Associated`
saying that two elements of a monoid differ by a multiplication by a unit.
Then we show that the quotient type `Associates` is a monoid
and prove basic properties of this quotient.
-/
variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
section Prime
variable [CommMonoidWithZero α]
/-- An element `p` of a commutative monoid with zero (e.g., a ring) is called *prime*,
if it's not zero, not a unit, and `p ∣ a * b → p ∣ a ∨ p ∣ b` for all `a`, `b`. -/
def Prime (p : α) : Prop :=
p ≠ 0 ∧ ¬IsUnit p ∧ ∀ a b, p ∣ a * b → p ∣ a ∨ p ∣ b
#align prime Prime
namespace Prime
variable {p : α} (hp : Prime p)
theorem ne_zero : p ≠ 0 :=
hp.1
#align prime.ne_zero Prime.ne_zero
theorem not_unit : ¬IsUnit p :=
hp.2.1
#align prime.not_unit Prime.not_unit
theorem not_dvd_one : ¬p ∣ 1 :=
mt (isUnit_of_dvd_one ·) hp.not_unit
#align prime.not_dvd_one Prime.not_dvd_one
theorem ne_one : p ≠ 1 := fun h => hp.2.1 (h.symm ▸ isUnit_one)
#align prime.ne_one Prime.ne_one
theorem dvd_or_dvd (hp : Prime p) {a b : α} (h : p ∣ a * b) : p ∣ a ∨ p ∣ b :=
hp.2.2 a b h
#align prime.dvd_or_dvd Prime.dvd_or_dvd
theorem dvd_mul {a b : α} : p ∣ a * b ↔ p ∣ a ∨ p ∣ b :=
⟨hp.dvd_or_dvd, (Or.elim · (dvd_mul_of_dvd_left · _) (dvd_mul_of_dvd_right · _))⟩
theorem isPrimal (hp : Prime p) : IsPrimal p := fun _a _b dvd ↦ (hp.dvd_or_dvd dvd).elim
(fun h ↦ ⟨p, 1, h, one_dvd _, (mul_one p).symm⟩) fun h ↦ ⟨1, p, one_dvd _, h, (one_mul p).symm⟩
theorem not_dvd_mul {a b : α} (ha : ¬ p ∣ a) (hb : ¬ p ∣ b) : ¬ p ∣ a * b :=
hp.dvd_mul.not.mpr <| not_or.mpr ⟨ha, hb⟩
theorem dvd_of_dvd_pow (hp : Prime p) {a : α} {n : ℕ} (h : p ∣ a ^ n) : p ∣ a := by
induction' n with n ih
· rw [pow_zero] at h
have := isUnit_of_dvd_one h
have := not_unit hp
contradiction
rw [pow_succ'] at h
cases' dvd_or_dvd hp h with dvd_a dvd_pow
· assumption
exact ih dvd_pow
#align prime.dvd_of_dvd_pow Prime.dvd_of_dvd_pow
theorem dvd_pow_iff_dvd {a : α} {n : ℕ} (hn : n ≠ 0) : p ∣ a ^ n ↔ p ∣ a :=
⟨hp.dvd_of_dvd_pow, (dvd_pow · hn)⟩
end Prime
@[simp]
theorem not_prime_zero : ¬Prime (0 : α) := fun h => h.ne_zero rfl
#align not_prime_zero not_prime_zero
@[simp]
theorem not_prime_one : ¬Prime (1 : α) := fun h => h.not_unit isUnit_one
#align not_prime_one not_prime_one
section Map
variable [CommMonoidWithZero β] {F : Type*} {G : Type*} [FunLike F α β]
variable [MonoidWithZeroHomClass F α β] [FunLike G β α] [MulHomClass G β α]
variable (f : F) (g : G) {p : α}
theorem comap_prime (hinv : ∀ a, g (f a : β) = a) (hp : Prime (f p)) : Prime p :=
⟨fun h => hp.1 <| by simp [h], fun h => hp.2.1 <| h.map f, fun a b h => by
refine
(hp.2.2 (f a) (f b) <| by
convert map_dvd f h
simp).imp
?_ ?_ <;>
· intro h
convert ← map_dvd g h <;> apply hinv⟩
#align comap_prime comap_prime
theorem MulEquiv.prime_iff (e : α ≃* β) : Prime p ↔ Prime (e p) :=
⟨fun h => (comap_prime e.symm e fun a => by simp) <| (e.symm_apply_apply p).substr h,
comap_prime e e.symm fun a => by simp⟩
#align mul_equiv.prime_iff MulEquiv.prime_iff
end Map
end Prime
theorem Prime.left_dvd_or_dvd_right_of_dvd_mul [CancelCommMonoidWithZero α] {p : α} (hp : Prime p)
{a b : α} : a ∣ p * b → p ∣ a ∨ a ∣ b := by
rintro ⟨c, hc⟩
rcases hp.2.2 a c (hc ▸ dvd_mul_right _ _) with (h | ⟨x, rfl⟩)
· exact Or.inl h
· rw [mul_left_comm, mul_right_inj' hp.ne_zero] at hc
exact Or.inr (hc.symm ▸ dvd_mul_right _ _)
#align prime.left_dvd_or_dvd_right_of_dvd_mul Prime.left_dvd_or_dvd_right_of_dvd_mul
theorem Prime.pow_dvd_of_dvd_mul_left [CancelCommMonoidWithZero α] {p a b : α} (hp : Prime p)
(n : ℕ) (h : ¬p ∣ a) (h' : p ^ n ∣ a * b) : p ^ n ∣ b := by
induction' n with n ih
· rw [pow_zero]
exact one_dvd b
· obtain ⟨c, rfl⟩ := ih (dvd_trans (pow_dvd_pow p n.le_succ) h')
rw [pow_succ]
apply mul_dvd_mul_left _ ((hp.dvd_or_dvd _).resolve_left h)
rwa [← mul_dvd_mul_iff_left (pow_ne_zero n hp.ne_zero), ← pow_succ, mul_left_comm]
#align prime.pow_dvd_of_dvd_mul_left Prime.pow_dvd_of_dvd_mul_left
theorem Prime.pow_dvd_of_dvd_mul_right [CancelCommMonoidWithZero α] {p a b : α} (hp : Prime p)
(n : ℕ) (h : ¬p ∣ b) (h' : p ^ n ∣ a * b) : p ^ n ∣ a := by
rw [mul_comm] at h'
exact hp.pow_dvd_of_dvd_mul_left n h h'
#align prime.pow_dvd_of_dvd_mul_right Prime.pow_dvd_of_dvd_mul_right
theorem Prime.dvd_of_pow_dvd_pow_mul_pow_of_square_not_dvd [CancelCommMonoidWithZero α] {p a b : α}
{n : ℕ} (hp : Prime p) (hpow : p ^ n.succ ∣ a ^ n.succ * b ^ n) (hb : ¬p ^ 2 ∣ b) : p ∣ a := by
-- Suppose `p ∣ b`, write `b = p * x` and `hy : a ^ n.succ * b ^ n = p ^ n.succ * y`.
cases' hp.dvd_or_dvd ((dvd_pow_self p (Nat.succ_ne_zero n)).trans hpow) with H hbdiv
· exact hp.dvd_of_dvd_pow H
obtain ⟨x, rfl⟩ := hp.dvd_of_dvd_pow hbdiv
obtain ⟨y, hy⟩ := hpow
-- Then we can divide out a common factor of `p ^ n` from the equation `hy`.
have : a ^ n.succ * x ^ n = p * y := by
refine mul_left_cancel₀ (pow_ne_zero n hp.ne_zero) ?_
rw [← mul_assoc _ p, ← pow_succ, ← hy, mul_pow, ← mul_assoc (a ^ n.succ), mul_comm _ (p ^ n),
mul_assoc]
-- So `p ∣ a` (and we're done) or `p ∣ x`, which can't be the case since it implies `p^2 ∣ b`.
refine hp.dvd_of_dvd_pow ((hp.dvd_or_dvd ⟨_, this⟩).resolve_right fun hdvdx => hb ?_)
obtain ⟨z, rfl⟩ := hp.dvd_of_dvd_pow hdvdx
rw [pow_two, ← mul_assoc]
exact dvd_mul_right _ _
#align prime.dvd_of_pow_dvd_pow_mul_pow_of_square_not_dvd Prime.dvd_of_pow_dvd_pow_mul_pow_of_square_not_dvd
theorem prime_pow_succ_dvd_mul {α : Type*} [CancelCommMonoidWithZero α] {p x y : α} (h : Prime p)
{i : ℕ} (hxy : p ^ (i + 1) ∣ x * y) : p ^ (i + 1) ∣ x ∨ p ∣ y := by
rw [or_iff_not_imp_right]
intro hy
induction' i with i ih generalizing x
· rw [pow_one] at hxy ⊢
exact (h.dvd_or_dvd hxy).resolve_right hy
rw [pow_succ'] at hxy ⊢
obtain ⟨x', rfl⟩ := (h.dvd_or_dvd (dvd_of_mul_right_dvd hxy)).resolve_right hy
rw [mul_assoc] at hxy
exact mul_dvd_mul_left p (ih ((mul_dvd_mul_iff_left h.ne_zero).mp hxy))
#align prime_pow_succ_dvd_mul prime_pow_succ_dvd_mul
/-- `Irreducible p` states that `p` is non-unit and only factors into units.
We explicitly avoid stating that `p` is non-zero, this would require a semiring. Assuming only a
monoid allows us to reuse irreducible for associated elements.
-/
structure Irreducible [Monoid α] (p : α) : Prop where
/-- `p` is not a unit -/
not_unit : ¬IsUnit p
/-- if `p` factors then one factor is a unit -/
isUnit_or_isUnit' : ∀ a b, p = a * b → IsUnit a ∨ IsUnit b
#align irreducible Irreducible
namespace Irreducible
theorem not_dvd_one [CommMonoid α] {p : α} (hp : Irreducible p) : ¬p ∣ 1 :=
mt (isUnit_of_dvd_one ·) hp.not_unit
#align irreducible.not_dvd_one Irreducible.not_dvd_one
theorem isUnit_or_isUnit [Monoid α] {p : α} (hp : Irreducible p) {a b : α} (h : p = a * b) :
IsUnit a ∨ IsUnit b :=
hp.isUnit_or_isUnit' a b h
#align irreducible.is_unit_or_is_unit Irreducible.isUnit_or_isUnit
end Irreducible
theorem irreducible_iff [Monoid α] {p : α} :
Irreducible p ↔ ¬IsUnit p ∧ ∀ a b, p = a * b → IsUnit a ∨ IsUnit b :=
⟨fun h => ⟨h.1, h.2⟩, fun h => ⟨h.1, h.2⟩⟩
#align irreducible_iff irreducible_iff
@[simp]
theorem not_irreducible_one [Monoid α] : ¬Irreducible (1 : α) := by simp [irreducible_iff]
#align not_irreducible_one not_irreducible_one
theorem Irreducible.ne_one [Monoid α] : ∀ {p : α}, Irreducible p → p ≠ 1
| _, hp, rfl => not_irreducible_one hp
#align irreducible.ne_one Irreducible.ne_one
@[simp]
theorem not_irreducible_zero [MonoidWithZero α] : ¬Irreducible (0 : α)
| ⟨hn0, h⟩ =>
have : IsUnit (0 : α) ∨ IsUnit (0 : α) := h 0 0 (mul_zero 0).symm
this.elim hn0 hn0
#align not_irreducible_zero not_irreducible_zero
theorem Irreducible.ne_zero [MonoidWithZero α] : ∀ {p : α}, Irreducible p → p ≠ 0
| _, hp, rfl => not_irreducible_zero hp
#align irreducible.ne_zero Irreducible.ne_zero
theorem of_irreducible_mul {α} [Monoid α] {x y : α} : Irreducible (x * y) → IsUnit x ∨ IsUnit y
| ⟨_, h⟩ => h _ _ rfl
#align of_irreducible_mul of_irreducible_mul
theorem not_irreducible_pow {α} [Monoid α] {x : α} {n : ℕ} (hn : n ≠ 1) :
¬ Irreducible (x ^ n) := by
cases n with
| zero => simp
| succ n =>
intro ⟨h₁, h₂⟩
have := h₂ _ _ (pow_succ _ _)
rw [isUnit_pow_iff (Nat.succ_ne_succ.mp hn), or_self] at this
exact h₁ (this.pow _)
#noalign of_irreducible_pow
theorem irreducible_or_factor {α} [Monoid α] (x : α) (h : ¬IsUnit x) :
Irreducible x ∨ ∃ a b, ¬IsUnit a ∧ ¬IsUnit b ∧ a * b = x := by
haveI := Classical.dec
refine or_iff_not_imp_right.2 fun H => ?_
simp? [h, irreducible_iff] at H ⊢ says
simp only [exists_and_left, not_exists, not_and, irreducible_iff, h, not_false_eq_true,
true_and] at H ⊢
refine fun a b h => by_contradiction fun o => ?_
simp? [not_or] at o says simp only [not_or] at o
exact H _ o.1 _ o.2 h.symm
#align irreducible_or_factor irreducible_or_factor
/-- If `p` and `q` are irreducible, then `p ∣ q` implies `q ∣ p`. -/
theorem Irreducible.dvd_symm [Monoid α] {p q : α} (hp : Irreducible p) (hq : Irreducible q) :
p ∣ q → q ∣ p := by
rintro ⟨q', rfl⟩
rw [IsUnit.mul_right_dvd (Or.resolve_left (of_irreducible_mul hq) hp.not_unit)]
#align irreducible.dvd_symm Irreducible.dvd_symm
theorem Irreducible.dvd_comm [Monoid α] {p q : α} (hp : Irreducible p) (hq : Irreducible q) :
p ∣ q ↔ q ∣ p :=
⟨hp.dvd_symm hq, hq.dvd_symm hp⟩
#align irreducible.dvd_comm Irreducible.dvd_comm
section
variable [Monoid α]
theorem irreducible_units_mul (a : αˣ) (b : α) : Irreducible (↑a * b) ↔ Irreducible b := by
simp only [irreducible_iff, Units.isUnit_units_mul, and_congr_right_iff]
refine fun _ => ⟨fun h A B HAB => ?_, fun h A B HAB => ?_⟩
· rw [← a.isUnit_units_mul]
apply h
rw [mul_assoc, ← HAB]
· rw [← a⁻¹.isUnit_units_mul]
apply h
rw [mul_assoc, ← HAB, Units.inv_mul_cancel_left]
#align irreducible_units_mul irreducible_units_mul
theorem irreducible_isUnit_mul {a b : α} (h : IsUnit a) : Irreducible (a * b) ↔ Irreducible b :=
let ⟨a, ha⟩ := h
ha ▸ irreducible_units_mul a b
#align irreducible_is_unit_mul irreducible_isUnit_mul
theorem irreducible_mul_units (a : αˣ) (b : α) : Irreducible (b * ↑a) ↔ Irreducible b := by
simp only [irreducible_iff, Units.isUnit_mul_units, and_congr_right_iff]
refine fun _ => ⟨fun h A B HAB => ?_, fun h A B HAB => ?_⟩
· rw [← Units.isUnit_mul_units B a]
apply h
rw [← mul_assoc, ← HAB]
· rw [← Units.isUnit_mul_units B a⁻¹]
apply h
rw [← mul_assoc, ← HAB, Units.mul_inv_cancel_right]
#align irreducible_mul_units irreducible_mul_units
theorem irreducible_mul_isUnit {a b : α} (h : IsUnit a) : Irreducible (b * a) ↔ Irreducible b :=
let ⟨a, ha⟩ := h
ha ▸ irreducible_mul_units a b
#align irreducible_mul_is_unit irreducible_mul_isUnit
theorem irreducible_mul_iff {a b : α} :
Irreducible (a * b) ↔ Irreducible a ∧ IsUnit b ∨ Irreducible b ∧ IsUnit a := by
constructor
· refine fun h => Or.imp (fun h' => ⟨?_, h'⟩) (fun h' => ⟨?_, h'⟩) (h.isUnit_or_isUnit rfl).symm
· rwa [irreducible_mul_isUnit h'] at h
· rwa [irreducible_isUnit_mul h'] at h
· rintro (⟨ha, hb⟩ | ⟨hb, ha⟩)
· rwa [irreducible_mul_isUnit hb]
· rwa [irreducible_isUnit_mul ha]
#align irreducible_mul_iff irreducible_mul_iff
end
section CommMonoid
variable [CommMonoid α] {a : α}
theorem Irreducible.not_square (ha : Irreducible a) : ¬IsSquare a := by
rw [isSquare_iff_exists_sq]
rintro ⟨b, rfl⟩
exact not_irreducible_pow (by decide) ha
#align irreducible.not_square Irreducible.not_square
theorem IsSquare.not_irreducible (ha : IsSquare a) : ¬Irreducible a := fun h => h.not_square ha
#align is_square.not_irreducible IsSquare.not_irreducible
end CommMonoid
section CommMonoidWithZero
variable [CommMonoidWithZero α]
theorem Irreducible.prime_of_isPrimal {a : α}
(irr : Irreducible a) (primal : IsPrimal a) : Prime a :=
⟨irr.ne_zero, irr.not_unit, fun a b dvd ↦ by
obtain ⟨d₁, d₂, h₁, h₂, rfl⟩ := primal dvd
exact (of_irreducible_mul irr).symm.imp (·.mul_right_dvd.mpr h₁) (·.mul_left_dvd.mpr h₂)⟩
theorem Irreducible.prime [DecompositionMonoid α] {a : α} (irr : Irreducible a) : Prime a :=
irr.prime_of_isPrimal (DecompositionMonoid.primal a)
end CommMonoidWithZero
section CancelCommMonoidWithZero
variable [CancelCommMonoidWithZero α] {a p : α}
protected theorem Prime.irreducible (hp : Prime p) : Irreducible p :=
⟨hp.not_unit, fun a b ↦ by
rintro rfl
exact (hp.dvd_or_dvd dvd_rfl).symm.imp
(isUnit_of_dvd_one <| (mul_dvd_mul_iff_right <| right_ne_zero_of_mul hp.ne_zero).mp <|
dvd_mul_of_dvd_right · _)
(isUnit_of_dvd_one <| (mul_dvd_mul_iff_left <| left_ne_zero_of_mul hp.ne_zero).mp <|
dvd_mul_of_dvd_left · _)⟩
#align prime.irreducible Prime.irreducible
theorem irreducible_iff_prime [DecompositionMonoid α] {a : α} : Irreducible a ↔ Prime a :=
⟨Irreducible.prime, Prime.irreducible⟩
theorem succ_dvd_or_succ_dvd_of_succ_sum_dvd_mul (hp : Prime p) {a b : α} {k l : ℕ} :
p ^ k ∣ a → p ^ l ∣ b → p ^ (k + l + 1) ∣ a * b → p ^ (k + 1) ∣ a ∨ p ^ (l + 1) ∣ b :=
fun ⟨x, hx⟩ ⟨y, hy⟩ ⟨z, hz⟩ =>
have h : p ^ (k + l) * (x * y) = p ^ (k + l) * (p * z) := by
simpa [mul_comm, pow_add, hx, hy, mul_assoc, mul_left_comm] using hz
have hp0 : p ^ (k + l) ≠ 0 := pow_ne_zero _ hp.ne_zero
have hpd : p ∣ x * y := ⟨z, by rwa [mul_right_inj' hp0] at h⟩
(hp.dvd_or_dvd hpd).elim
(fun ⟨d, hd⟩ => Or.inl ⟨d, by simp [*, pow_succ, mul_comm, mul_left_comm, mul_assoc]⟩)
fun ⟨d, hd⟩ => Or.inr ⟨d, by simp [*, pow_succ, mul_comm, mul_left_comm, mul_assoc]⟩
#align succ_dvd_or_succ_dvd_of_succ_sum_dvd_mul succ_dvd_or_succ_dvd_of_succ_sum_dvd_mul
theorem Prime.not_square (hp : Prime p) : ¬IsSquare p :=
hp.irreducible.not_square
#align prime.not_square Prime.not_square
theorem IsSquare.not_prime (ha : IsSquare a) : ¬Prime a := fun h => h.not_square ha
#align is_square.not_prime IsSquare.not_prime
theorem not_prime_pow {n : ℕ} (hn : n ≠ 1) : ¬Prime (a ^ n) := fun hp =>
not_irreducible_pow hn hp.irreducible
#align pow_not_prime not_prime_pow
end CancelCommMonoidWithZero
/-- Two elements of a `Monoid` are `Associated` if one of them is another one
multiplied by a unit on the right. -/
def Associated [Monoid α] (x y : α) : Prop :=
∃ u : αˣ, x * u = y
#align associated Associated
/-- Notation for two elements of a monoid are associated, i.e.
if one of them is another one multiplied by a unit on the right. -/
local infixl:50 " ~ᵤ " => Associated
namespace Associated
@[refl]
protected theorem refl [Monoid α] (x : α) : x ~ᵤ x :=
⟨1, by simp⟩
#align associated.refl Associated.refl
protected theorem rfl [Monoid α] {x : α} : x ~ᵤ x :=
.refl x
instance [Monoid α] : IsRefl α Associated :=
⟨Associated.refl⟩
@[symm]
protected theorem symm [Monoid α] : ∀ {x y : α}, x ~ᵤ y → y ~ᵤ x
| x, _, ⟨u, rfl⟩ => ⟨u⁻¹, by rw [mul_assoc, Units.mul_inv, mul_one]⟩
#align associated.symm Associated.symm
instance [Monoid α] : IsSymm α Associated :=
⟨fun _ _ => Associated.symm⟩
protected theorem comm [Monoid α] {x y : α} : x ~ᵤ y ↔ y ~ᵤ x :=
⟨Associated.symm, Associated.symm⟩
#align associated.comm Associated.comm
@[trans]
protected theorem trans [Monoid α] : ∀ {x y z : α}, x ~ᵤ y → y ~ᵤ z → x ~ᵤ z
| x, _, _, ⟨u, rfl⟩, ⟨v, rfl⟩ => ⟨u * v, by rw [Units.val_mul, mul_assoc]⟩
#align associated.trans Associated.trans
instance [Monoid α] : IsTrans α Associated :=
⟨fun _ _ _ => Associated.trans⟩
/-- The setoid of the relation `x ~ᵤ y` iff there is a unit `u` such that `x * u = y` -/
protected def setoid (α : Type*) [Monoid α] :
Setoid α where
r := Associated
iseqv := ⟨Associated.refl, Associated.symm, Associated.trans⟩
#align associated.setoid Associated.setoid
theorem map {M N : Type*} [Monoid M] [Monoid N] {F : Type*} [FunLike F M N] [MonoidHomClass F M N]
(f : F) {x y : M} (ha : Associated x y) : Associated (f x) (f y) := by
obtain ⟨u, ha⟩ := ha
exact ⟨Units.map f u, by rw [← ha, map_mul, Units.coe_map, MonoidHom.coe_coe]⟩
end Associated
attribute [local instance] Associated.setoid
theorem unit_associated_one [Monoid α] {u : αˣ} : (u : α) ~ᵤ 1 :=
⟨u⁻¹, Units.mul_inv u⟩
#align unit_associated_one unit_associated_one
@[simp]
theorem associated_one_iff_isUnit [Monoid α] {a : α} : (a : α) ~ᵤ 1 ↔ IsUnit a :=
Iff.intro
(fun h =>
let ⟨c, h⟩ := h.symm
h ▸ ⟨c, (one_mul _).symm⟩)
fun ⟨c, h⟩ => Associated.symm ⟨c, by simp [h]⟩
#align associated_one_iff_is_unit associated_one_iff_isUnit
@[simp]
theorem associated_zero_iff_eq_zero [MonoidWithZero α] (a : α) : a ~ᵤ 0 ↔ a = 0 :=
Iff.intro
(fun h => by
let ⟨u, h⟩ := h.symm
simpa using h.symm)
fun h => h ▸ Associated.refl a
#align associated_zero_iff_eq_zero associated_zero_iff_eq_zero
theorem associated_one_of_mul_eq_one [CommMonoid α] {a : α} (b : α) (hab : a * b = 1) : a ~ᵤ 1 :=
show (Units.mkOfMulEqOne a b hab : α) ~ᵤ 1 from unit_associated_one
#align associated_one_of_mul_eq_one associated_one_of_mul_eq_one
theorem associated_one_of_associated_mul_one [CommMonoid α] {a b : α} : a * b ~ᵤ 1 → a ~ᵤ 1
| ⟨u, h⟩ => associated_one_of_mul_eq_one (b * u) <| by simpa [mul_assoc] using h
#align associated_one_of_associated_mul_one associated_one_of_associated_mul_one
theorem associated_mul_unit_left {β : Type*} [Monoid β] (a u : β) (hu : IsUnit u) :
Associated (a * u) a :=
let ⟨u', hu⟩ := hu
⟨u'⁻¹, hu ▸ Units.mul_inv_cancel_right _ _⟩
#align associated_mul_unit_left associated_mul_unit_left
theorem associated_unit_mul_left {β : Type*} [CommMonoid β] (a u : β) (hu : IsUnit u) :
Associated (u * a) a := by
rw [mul_comm]
exact associated_mul_unit_left _ _ hu
#align associated_unit_mul_left associated_unit_mul_left
theorem associated_mul_unit_right {β : Type*} [Monoid β] (a u : β) (hu : IsUnit u) :
Associated a (a * u) :=
(associated_mul_unit_left a u hu).symm
#align associated_mul_unit_right associated_mul_unit_right
theorem associated_unit_mul_right {β : Type*} [CommMonoid β] (a u : β) (hu : IsUnit u) :
Associated a (u * a) :=
(associated_unit_mul_left a u hu).symm
#align associated_unit_mul_right associated_unit_mul_right
theorem associated_mul_isUnit_left_iff {β : Type*} [Monoid β] {a u b : β} (hu : IsUnit u) :
Associated (a * u) b ↔ Associated a b :=
⟨(associated_mul_unit_right _ _ hu).trans, (associated_mul_unit_left _ _ hu).trans⟩
#align associated_mul_is_unit_left_iff associated_mul_isUnit_left_iff
theorem associated_isUnit_mul_left_iff {β : Type*} [CommMonoid β] {u a b : β} (hu : IsUnit u) :
Associated (u * a) b ↔ Associated a b := by
rw [mul_comm]
exact associated_mul_isUnit_left_iff hu
#align associated_is_unit_mul_left_iff associated_isUnit_mul_left_iff
theorem associated_mul_isUnit_right_iff {β : Type*} [Monoid β] {a b u : β} (hu : IsUnit u) :
Associated a (b * u) ↔ Associated a b :=
Associated.comm.trans <| (associated_mul_isUnit_left_iff hu).trans Associated.comm
#align associated_mul_is_unit_right_iff associated_mul_isUnit_right_iff
theorem associated_isUnit_mul_right_iff {β : Type*} [CommMonoid β] {a u b : β} (hu : IsUnit u) :
Associated a (u * b) ↔ Associated a b :=
Associated.comm.trans <| (associated_isUnit_mul_left_iff hu).trans Associated.comm
#align associated_is_unit_mul_right_iff associated_isUnit_mul_right_iff
@[simp]
theorem associated_mul_unit_left_iff {β : Type*} [Monoid β] {a b : β} {u : Units β} :
Associated (a * u) b ↔ Associated a b :=
associated_mul_isUnit_left_iff u.isUnit
#align associated_mul_unit_left_iff associated_mul_unit_left_iff
@[simp]
theorem associated_unit_mul_left_iff {β : Type*} [CommMonoid β] {a b : β} {u : Units β} :
Associated (↑u * a) b ↔ Associated a b :=
associated_isUnit_mul_left_iff u.isUnit
#align associated_unit_mul_left_iff associated_unit_mul_left_iff
@[simp]
theorem associated_mul_unit_right_iff {β : Type*} [Monoid β] {a b : β} {u : Units β} :
Associated a (b * u) ↔ Associated a b :=
associated_mul_isUnit_right_iff u.isUnit
#align associated_mul_unit_right_iff associated_mul_unit_right_iff
@[simp]
theorem associated_unit_mul_right_iff {β : Type*} [CommMonoid β] {a b : β} {u : Units β} :
Associated a (↑u * b) ↔ Associated a b :=
associated_isUnit_mul_right_iff u.isUnit
#align associated_unit_mul_right_iff associated_unit_mul_right_iff
theorem Associated.mul_left [Monoid α] (a : α) {b c : α} (h : b ~ᵤ c) : a * b ~ᵤ a * c := by
obtain ⟨d, rfl⟩ := h; exact ⟨d, mul_assoc _ _ _⟩
#align associated.mul_left Associated.mul_left
theorem Associated.mul_right [CommMonoid α] {a b : α} (h : a ~ᵤ b) (c : α) : a * c ~ᵤ b * c := by
obtain ⟨d, rfl⟩ := h; exact ⟨d, mul_right_comm _ _ _⟩
#align associated.mul_right Associated.mul_right
theorem Associated.mul_mul [CommMonoid α] {a₁ a₂ b₁ b₂ : α}
(h₁ : a₁ ~ᵤ b₁) (h₂ : a₂ ~ᵤ b₂) : a₁ * a₂ ~ᵤ b₁ * b₂ := (h₁.mul_right _).trans (h₂.mul_left _)
#align associated.mul_mul Associated.mul_mul
theorem Associated.pow_pow [CommMonoid α] {a b : α} {n : ℕ} (h : a ~ᵤ b) : a ^ n ~ᵤ b ^ n := by
induction' n with n ih
· simp [Associated.refl]
convert h.mul_mul ih <;> rw [pow_succ']
#align associated.pow_pow Associated.pow_pow
protected theorem Associated.dvd [Monoid α] {a b : α} : a ~ᵤ b → a ∣ b := fun ⟨u, hu⟩ =>
⟨u, hu.symm⟩
#align associated.dvd Associated.dvd
protected theorem Associated.dvd' [Monoid α] {a b : α} (h : a ~ᵤ b) : b ∣ a :=
h.symm.dvd
protected theorem Associated.dvd_dvd [Monoid α] {a b : α} (h : a ~ᵤ b) : a ∣ b ∧ b ∣ a :=
⟨h.dvd, h.symm.dvd⟩
#align associated.dvd_dvd Associated.dvd_dvd
theorem associated_of_dvd_dvd [CancelMonoidWithZero α] {a b : α} (hab : a ∣ b) (hba : b ∣ a) :
a ~ᵤ b := by
rcases hab with ⟨c, rfl⟩
rcases hba with ⟨d, a_eq⟩
by_cases ha0 : a = 0
· simp_all
have hac0 : a * c ≠ 0 := by
intro con
rw [con, zero_mul] at a_eq
apply ha0 a_eq
have : a * (c * d) = a * 1 := by rw [← mul_assoc, ← a_eq, mul_one]
have hcd : c * d = 1 := mul_left_cancel₀ ha0 this
have : a * c * (d * c) = a * c * 1 := by rw [← mul_assoc, ← a_eq, mul_one]
have hdc : d * c = 1 := mul_left_cancel₀ hac0 this
exact ⟨⟨c, d, hcd, hdc⟩, rfl⟩
#align associated_of_dvd_dvd associated_of_dvd_dvd
theorem dvd_dvd_iff_associated [CancelMonoidWithZero α] {a b : α} : a ∣ b ∧ b ∣ a ↔ a ~ᵤ b :=
⟨fun ⟨h1, h2⟩ => associated_of_dvd_dvd h1 h2, Associated.dvd_dvd⟩
#align dvd_dvd_iff_associated dvd_dvd_iff_associated
instance [CancelMonoidWithZero α] [DecidableRel ((· ∣ ·) : α → α → Prop)] :
DecidableRel ((· ~ᵤ ·) : α → α → Prop) := fun _ _ => decidable_of_iff _ dvd_dvd_iff_associated
theorem Associated.dvd_iff_dvd_left [Monoid α] {a b c : α} (h : a ~ᵤ b) : a ∣ c ↔ b ∣ c :=
let ⟨_, hu⟩ := h
hu ▸ Units.mul_right_dvd.symm
#align associated.dvd_iff_dvd_left Associated.dvd_iff_dvd_left
theorem Associated.dvd_iff_dvd_right [Monoid α] {a b c : α} (h : b ~ᵤ c) : a ∣ b ↔ a ∣ c :=
let ⟨_, hu⟩ := h
hu ▸ Units.dvd_mul_right.symm
#align associated.dvd_iff_dvd_right Associated.dvd_iff_dvd_right
theorem Associated.eq_zero_iff [MonoidWithZero α] {a b : α} (h : a ~ᵤ b) : a = 0 ↔ b = 0 := by
obtain ⟨u, rfl⟩ := h
rw [← Units.eq_mul_inv_iff_mul_eq, zero_mul]
#align associated.eq_zero_iff Associated.eq_zero_iff
theorem Associated.ne_zero_iff [MonoidWithZero α] {a b : α} (h : a ~ᵤ b) : a ≠ 0 ↔ b ≠ 0 :=
not_congr h.eq_zero_iff
#align associated.ne_zero_iff Associated.ne_zero_iff
theorem Associated.neg_left [Monoid α] [HasDistribNeg α] {a b : α} (h : Associated a b) :
Associated (-a) b :=
let ⟨u, hu⟩ := h; ⟨-u, by simp [hu]⟩
theorem Associated.neg_right [Monoid α] [HasDistribNeg α] {a b : α} (h : Associated a b) :
Associated a (-b) :=
h.symm.neg_left.symm
theorem Associated.neg_neg [Monoid α] [HasDistribNeg α] {a b : α} (h : Associated a b) :
Associated (-a) (-b) :=
h.neg_left.neg_right
protected theorem Associated.prime [CommMonoidWithZero α] {p q : α} (h : p ~ᵤ q) (hp : Prime p) :
Prime q :=
⟨h.ne_zero_iff.1 hp.ne_zero,
let ⟨u, hu⟩ := h
⟨fun ⟨v, hv⟩ => hp.not_unit ⟨v * u⁻¹, by simp [hv, hu.symm]⟩,
hu ▸ by
simp only [IsUnit.mul_iff, Units.isUnit, and_true, IsUnit.mul_right_dvd]
intro a b
exact hp.dvd_or_dvd⟩⟩
#align associated.prime Associated.prime
| Mathlib/Algebra/Associated.lean | 646 | 654 | theorem prime_mul_iff [CancelCommMonoidWithZero α] {x y : α} :
Prime (x * y) ↔ (Prime x ∧ IsUnit y) ∨ (IsUnit x ∧ Prime y) := by |
refine ⟨fun h ↦ ?_, ?_⟩
· rcases of_irreducible_mul h.irreducible with hx | hy
· exact Or.inr ⟨hx, (associated_unit_mul_left y x hx).prime h⟩
· exact Or.inl ⟨(associated_mul_unit_left x y hy).prime h, hy⟩
· rintro (⟨hx, hy⟩ | ⟨hx, hy⟩)
· exact (associated_mul_unit_left x y hy).symm.prime hx
· exact (associated_unit_mul_right y x hx).prime hy
|
/-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Sean Leather
-/
import Mathlib.Algebra.Group.Opposite
import Mathlib.Algebra.FreeMonoid.Basic
import Mathlib.Control.Traversable.Instances
import Mathlib.Control.Traversable.Lemmas
import Mathlib.CategoryTheory.Endomorphism
import Mathlib.CategoryTheory.Types
import Mathlib.CategoryTheory.Category.KleisliCat
import Mathlib.Tactic.AdaptationNote
#align_import control.fold from "leanprover-community/mathlib"@"740acc0e6f9adf4423f92a485d0456fc271482da"
/-!
# List folds generalized to `Traversable`
Informally, we can think of `foldl` as a special case of `traverse` where we do not care about the
reconstructed data structure and, in a state monad, we care about the final state.
The obvious way to define `foldl` would be to use the state monad but it
is nicer to reason about a more abstract interface with `foldMap` as a
primitive and `foldMap_hom` as a defining property.
```
def foldMap {α ω} [One ω] [Mul ω] (f : α → ω) : t α → ω := ...
lemma foldMap_hom (α β) [Monoid α] [Monoid β] (f : α →* β) (g : γ → α) (x : t γ) :
f (foldMap g x) = foldMap (f ∘ g) x :=
...
```
`foldMap` uses a monoid ω to accumulate a value for every element of
a data structure and `foldMap_hom` uses a monoid homomorphism to
substitute the monoid used by `foldMap`. The two are sufficient to
define `foldl`, `foldr` and `toList`. `toList` permits the
formulation of specifications in terms of operations on lists.
Each fold function can be defined using a specialized
monoid. `toList` uses a free monoid represented as a list with
concatenation while `foldl` uses endofunctions together with function
composition.
The definition through monoids uses `traverse` together with the
applicative functor `const m` (where `m` is the monoid). As an
implementation, `const` guarantees that no resource is spent on
reconstructing the structure during traversal.
A special class could be defined for `foldable`, similarly to Haskell,
but the author cannot think of instances of `foldable` that are not also
`Traversable`.
-/
universe u v
open ULift CategoryTheory MulOpposite
namespace Monoid
variable {m : Type u → Type u} [Monad m]
variable {α β : Type u}
/-- For a list, foldl f x [y₀,y₁] reduces as follows:
```
calc foldl f x [y₀,y₁]
= foldl f (f x y₀) [y₁] : rfl
... = foldl f (f (f x y₀) y₁) [] : rfl
... = f (f x y₀) y₁ : rfl
```
with
```
f : α → β → α
x : α
[y₀,y₁] : List β
```
We can view the above as a composition of functions:
```
... = f (f x y₀) y₁ : rfl
... = flip f y₁ (flip f y₀ x) : rfl
... = (flip f y₁ ∘ flip f y₀) x : rfl
```
We can use traverse and const to construct this composition:
```
calc const.run (traverse (fun y ↦ const.mk' (flip f y)) [y₀,y₁]) x
= const.run ((::) <$> const.mk' (flip f y₀) <*>
traverse (fun y ↦ const.mk' (flip f y)) [y₁]) x
... = const.run ((::) <$> const.mk' (flip f y₀) <*>
( (::) <$> const.mk' (flip f y₁) <*> traverse (fun y ↦ const.mk' (flip f y)) [] )) x
... = const.run ((::) <$> const.mk' (flip f y₀) <*>
( (::) <$> const.mk' (flip f y₁) <*> pure [] )) x
... = const.run ( ((::) <$> const.mk' (flip f y₁) <*> pure []) ∘
((::) <$> const.mk' (flip f y₀)) ) x
... = const.run ( const.mk' (flip f y₁) ∘ const.mk' (flip f y₀) ) x
... = const.run ( flip f y₁ ∘ flip f y₀ ) x
... = f (f x y₀) y₁
```
And this is how `const` turns a monoid into an applicative functor and
how the monoid of endofunctions define `Foldl`.
-/
abbrev Foldl (α : Type u) : Type u :=
(End α)ᵐᵒᵖ
#align monoid.foldl Monoid.Foldl
def Foldl.mk (f : α → α) : Foldl α :=
op f
#align monoid.foldl.mk Monoid.Foldl.mk
def Foldl.get (x : Foldl α) : α → α :=
unop x
#align monoid.foldl.get Monoid.Foldl.get
@[simps]
def Foldl.ofFreeMonoid (f : β → α → β) : FreeMonoid α →* Monoid.Foldl β where
toFun xs := op <| flip (List.foldl f) (FreeMonoid.toList xs)
map_one' := rfl
map_mul' := by
intros
#adaptation_note /-- nightly-2024-03-16: simp was
simp only [FreeMonoid.toList_mul, flip, unop_op, List.foldl_append, op_inj] -/
simp only [FreeMonoid.toList_mul, unop_op, List.foldl_append, op_inj, Function.flip_def,
List.foldl_append]
rfl
#align monoid.foldl.of_free_monoid Monoid.Foldl.ofFreeMonoid
abbrev Foldr (α : Type u) : Type u :=
End α
#align monoid.foldr Monoid.Foldr
def Foldr.mk (f : α → α) : Foldr α :=
f
#align monoid.foldr.mk Monoid.Foldr.mk
def Foldr.get (x : Foldr α) : α → α :=
x
#align monoid.foldr.get Monoid.Foldr.get
@[simps]
def Foldr.ofFreeMonoid (f : α → β → β) : FreeMonoid α →* Monoid.Foldr β where
toFun xs := flip (List.foldr f) (FreeMonoid.toList xs)
map_one' := rfl
map_mul' _ _ := funext fun _ => List.foldr_append _ _ _ _
#align monoid.foldr.of_free_monoid Monoid.Foldr.ofFreeMonoid
abbrev foldlM (m : Type u → Type u) [Monad m] (α : Type u) : Type u :=
MulOpposite <| End <| KleisliCat.mk m α
#align monoid.mfoldl Monoid.foldlM
def foldlM.mk (f : α → m α) : foldlM m α :=
op f
#align monoid.mfoldl.mk Monoid.foldlM.mk
def foldlM.get (x : foldlM m α) : α → m α :=
unop x
#align monoid.mfoldl.get Monoid.foldlM.get
@[simps]
def foldlM.ofFreeMonoid [LawfulMonad m] (f : β → α → m β) : FreeMonoid α →* Monoid.foldlM m β where
toFun xs := op <| flip (List.foldlM f) (FreeMonoid.toList xs)
map_one' := rfl
map_mul' := by intros; apply unop_injective; funext; apply List.foldlM_append
#align monoid.mfoldl.of_free_monoid Monoid.foldlM.ofFreeMonoid
abbrev foldrM (m : Type u → Type u) [Monad m] (α : Type u) : Type u :=
End <| KleisliCat.mk m α
#align monoid.mfoldr Monoid.foldrM
def foldrM.mk (f : α → m α) : foldrM m α :=
f
#align monoid.mfoldr.mk Monoid.foldrM.mk
def foldrM.get (x : foldrM m α) : α → m α :=
x
#align monoid.mfoldr.get Monoid.foldrM.get
@[simps]
def foldrM.ofFreeMonoid [LawfulMonad m] (f : α → β → m β) : FreeMonoid α →* Monoid.foldrM m β where
toFun xs := flip (List.foldrM f) (FreeMonoid.toList xs)
map_one' := rfl
map_mul' := by intros; funext; apply List.foldrM_append
#align monoid.mfoldr.of_free_monoid Monoid.foldrM.ofFreeMonoid
end Monoid
namespace Traversable
open Monoid Functor
section Defs
variable {α β : Type u} {t : Type u → Type u} [Traversable t]
def foldMap {α ω} [One ω] [Mul ω] (f : α → ω) : t α → ω :=
traverse (Const.mk' ∘ f)
#align traversable.fold_map Traversable.foldMap
def foldl (f : α → β → α) (x : α) (xs : t β) : α :=
(foldMap (Foldl.mk ∘ flip f) xs).get x
#align traversable.foldl Traversable.foldl
def foldr (f : α → β → β) (x : β) (xs : t α) : β :=
(foldMap (Foldr.mk ∘ f) xs).get x
#align traversable.foldr Traversable.foldr
/-- Conceptually, `toList` collects all the elements of a collection
in a list. This idea is formalized by
`lemma toList_spec (x : t α) : toList x = foldMap FreeMonoid.mk x`.
The definition of `toList` is based on `foldl` and `List.cons` for
speed. It is faster than using `foldMap FreeMonoid.mk` because, by
using `foldl` and `List.cons`, each insertion is done in constant
time. As a consequence, `toList` performs in linear.
On the other hand, `foldMap FreeMonoid.mk` creates a singleton list
around each element and concatenates all the resulting lists. In
`xs ++ ys`, concatenation takes a time proportional to `length xs`. Since
the order in which concatenation is evaluated is unspecified, nothing
prevents each element of the traversable to be appended at the end
`xs ++ [x]` which would yield a `O(n²)` run time. -/
def toList : t α → List α :=
List.reverse ∘ foldl (flip List.cons) []
#align traversable.to_list Traversable.toList
def length (xs : t α) : ℕ :=
down <| foldl (fun l _ => up <| l.down + 1) (up 0) xs
#align traversable.length Traversable.length
variable {m : Type u → Type u} [Monad m]
def foldlm (f : α → β → m α) (x : α) (xs : t β) : m α :=
(foldMap (foldlM.mk ∘ flip f) xs).get x
#align traversable.mfoldl Traversable.foldlm
def foldrm (f : α → β → m β) (x : β) (xs : t α) : m β :=
(foldMap (foldrM.mk ∘ f) xs).get x
#align traversable.mfoldr Traversable.foldrm
end Defs
section ApplicativeTransformation
variable {α β γ : Type u}
open Function hiding const
def mapFold [Monoid α] [Monoid β] (f : α →* β) : ApplicativeTransformation (Const α) (Const β) where
app _ := f
preserves_seq' := by intros; simp only [Seq.seq, map_mul]
preserves_pure' := by intros; simp only [map_one, pure]
#align traversable.map_fold Traversable.mapFold
theorem Free.map_eq_map (f : α → β) (xs : List α) :
f <$> xs = (FreeMonoid.toList (FreeMonoid.map f (FreeMonoid.ofList xs))) :=
rfl
#align traversable.free.map_eq_map Traversable.Free.map_eq_map
theorem foldl.unop_ofFreeMonoid (f : β → α → β) (xs : FreeMonoid α) (a : β) :
unop (Foldl.ofFreeMonoid f xs) a = List.foldl f a (FreeMonoid.toList xs) :=
rfl
#align traversable.foldl.unop_of_free_monoid Traversable.foldl.unop_ofFreeMonoid
variable (m : Type u → Type u) [Monad m] [LawfulMonad m]
variable {t : Type u → Type u} [Traversable t] [LawfulTraversable t]
open LawfulTraversable
theorem foldMap_hom [Monoid α] [Monoid β] (f : α →* β) (g : γ → α) (x : t γ) :
f (foldMap g x) = foldMap (f ∘ g) x :=
calc
f (foldMap g x) = f (traverse (Const.mk' ∘ g) x) := rfl
_ = (mapFold f).app _ (traverse (Const.mk' ∘ g) x) := rfl
_ = traverse ((mapFold f).app _ ∘ Const.mk' ∘ g) x := naturality (mapFold f) _ _
_ = foldMap (f ∘ g) x := rfl
#align traversable.fold_map_hom Traversable.foldMap_hom
theorem foldMap_hom_free [Monoid β] (f : FreeMonoid α →* β) (x : t α) :
f (foldMap FreeMonoid.of x) = foldMap (f ∘ FreeMonoid.of) x :=
foldMap_hom f _ x
#align traversable.fold_map_hom_free Traversable.foldMap_hom_free
end ApplicativeTransformation
section Equalities
open LawfulTraversable
open List (cons)
variable {α β γ : Type u}
variable {t : Type u → Type u} [Traversable t] [LawfulTraversable t]
@[simp]
theorem foldl.ofFreeMonoid_comp_of (f : α → β → α) :
Foldl.ofFreeMonoid f ∘ FreeMonoid.of = Foldl.mk ∘ flip f :=
rfl
#align traversable.foldl.of_free_monoid_comp_of Traversable.foldl.ofFreeMonoid_comp_of
@[simp]
theorem foldr.ofFreeMonoid_comp_of (f : β → α → α) :
Foldr.ofFreeMonoid f ∘ FreeMonoid.of = Foldr.mk ∘ f :=
rfl
#align traversable.foldr.of_free_monoid_comp_of Traversable.foldr.ofFreeMonoid_comp_of
@[simp]
theorem foldlm.ofFreeMonoid_comp_of {m} [Monad m] [LawfulMonad m] (f : α → β → m α) :
foldlM.ofFreeMonoid f ∘ FreeMonoid.of = foldlM.mk ∘ flip f := by
ext1 x
#adaptation_note /-- nightly-2024-03-16: simp was
simp only [foldlM.ofFreeMonoid, flip, MonoidHom.coe_mk, OneHom.coe_mk, Function.comp_apply,
FreeMonoid.toList_of, List.foldlM_cons, List.foldlM_nil, bind_pure, foldlM.mk, op_inj] -/
simp only [foldlM.ofFreeMonoid, Function.flip_def, MonoidHom.coe_mk, OneHom.coe_mk,
Function.comp_apply, FreeMonoid.toList_of, List.foldlM_cons, List.foldlM_nil, bind_pure,
foldlM.mk, op_inj]
rfl
#align traversable.mfoldl.of_free_monoid_comp_of Traversable.foldlm.ofFreeMonoid_comp_of
@[simp]
theorem foldrm.ofFreeMonoid_comp_of {m} [Monad m] [LawfulMonad m] (f : β → α → m α) :
foldrM.ofFreeMonoid f ∘ FreeMonoid.of = foldrM.mk ∘ f := by
ext
#adaptation_note /-- nightly-2024-03-16: simp was
simp [(· ∘ ·), foldrM.ofFreeMonoid, foldrM.mk, flip] -/
simp [(· ∘ ·), foldrM.ofFreeMonoid, foldrM.mk, Function.flip_def]
#align traversable.mfoldr.of_free_monoid_comp_of Traversable.foldrm.ofFreeMonoid_comp_of
theorem toList_spec (xs : t α) : toList xs = FreeMonoid.toList (foldMap FreeMonoid.of xs) :=
Eq.symm <|
calc
FreeMonoid.toList (foldMap FreeMonoid.of xs) =
FreeMonoid.toList (foldMap FreeMonoid.of xs).reverse.reverse := by
simp only [List.reverse_reverse]
_ = FreeMonoid.toList (List.foldr cons [] (foldMap FreeMonoid.of xs).reverse).reverse := by
simp only [List.foldr_eta]
_ = (unop (Foldl.ofFreeMonoid (flip cons) (foldMap FreeMonoid.of xs)) []).reverse := by
#adaptation_note /-- nightly-2024-03-16: simp was
simp [flip, List.foldr_reverse, Foldl.ofFreeMonoid, unop_op] -/
simp [Function.flip_def, List.foldr_reverse, Foldl.ofFreeMonoid, unop_op]
_ = toList xs := by
rw [foldMap_hom_free (Foldl.ofFreeMonoid (flip <| @cons α))]
simp only [toList, foldl, List.reverse_inj, Foldl.get, foldl.ofFreeMonoid_comp_of,
Function.comp_apply]
#align traversable.to_list_spec Traversable.toList_spec
theorem foldMap_map [Monoid γ] (f : α → β) (g : β → γ) (xs : t α) :
foldMap g (f <$> xs) = foldMap (g ∘ f) xs := by simp only [foldMap, traverse_map, Function.comp]
#align traversable.fold_map_map Traversable.foldMap_map
theorem foldl_toList (f : α → β → α) (xs : t β) (x : α) :
foldl f x xs = List.foldl f x (toList xs) := by
rw [← FreeMonoid.toList_ofList (toList xs), ← foldl.unop_ofFreeMonoid]
simp only [foldl, toList_spec, foldMap_hom_free, foldl.ofFreeMonoid_comp_of, Foldl.get,
FreeMonoid.ofList_toList]
#align traversable.foldl_to_list Traversable.foldl_toList
theorem foldr_toList (f : α → β → β) (xs : t α) (x : β) :
foldr f x xs = List.foldr f x (toList xs) := by
change _ = Foldr.ofFreeMonoid _ (FreeMonoid.ofList <| toList xs) _
rw [toList_spec, foldr, Foldr.get, FreeMonoid.ofList_toList, foldMap_hom_free,
foldr.ofFreeMonoid_comp_of]
#align traversable.foldr_to_list Traversable.foldr_toList
theorem toList_map (f : α → β) (xs : t α) : toList (f <$> xs) = f <$> toList xs := by
simp only [toList_spec, Free.map_eq_map, foldMap_hom, foldMap_map, FreeMonoid.ofList_toList,
FreeMonoid.map_of, (· ∘ ·)]
#align traversable.to_list_map Traversable.toList_map
@[simp]
theorem foldl_map (g : β → γ) (f : α → γ → α) (a : α) (l : t β) :
foldl f a (g <$> l) = foldl (fun x y => f x (g y)) a l := by
#adaptation_note /-- nightly-2024-03-16: simp was
simp only [foldl, foldMap_map, (· ∘ ·), flip] -/
simp only [foldl, foldMap_map, (· ∘ ·), Function.flip_def]
#align traversable.foldl_map Traversable.foldl_map
@[simp]
theorem foldr_map (g : β → γ) (f : γ → α → α) (a : α) (l : t β) :
foldr f a (g <$> l) = foldr (f ∘ g) a l := by simp only [foldr, foldMap_map, (· ∘ ·), flip]
#align traversable.foldr_map Traversable.foldr_map
@[simp]
theorem toList_eq_self {xs : List α} : toList xs = xs := by
simp only [toList_spec, foldMap, traverse]
induction xs with
| nil => rfl
| cons _ _ ih => (conv_rhs => rw [← ih]); rfl
#align traversable.to_list_eq_self Traversable.toList_eq_self
theorem length_toList {xs : t α} : length xs = List.length (toList xs) := by
unfold length
rw [foldl_toList]
generalize toList xs = ys
rw [← Nat.add_zero ys.length]
generalize 0 = n
induction' ys with _ _ ih generalizing n
· simp
· simp_arith [ih]
#align traversable.length_to_list Traversable.length_toList
variable {m : Type u → Type u} [Monad m] [LawfulMonad m]
theorem foldlm_toList {f : α → β → m α} {x : α} {xs : t β} :
foldlm f x xs = List.foldlM f x (toList xs) :=
calc foldlm f x xs
_ = unop (foldlM.ofFreeMonoid f (FreeMonoid.ofList <| toList xs)) x := by
simp only [foldlm, toList_spec, foldMap_hom_free (foldlM.ofFreeMonoid f),
foldlm.ofFreeMonoid_comp_of, foldlM.get, FreeMonoid.ofList_toList]
_ = List.foldlM f x (toList xs) := by simp [foldlM.ofFreeMonoid, unop_op, flip]
#align traversable.mfoldl_to_list Traversable.foldlm_toList
| Mathlib/Control/Fold.lean | 418 | 422 | theorem foldrm_toList (f : α → β → m β) (x : β) (xs : t α) :
foldrm f x xs = List.foldrM f x (toList xs) := by |
change _ = foldrM.ofFreeMonoid f (FreeMonoid.ofList <| toList xs) x
simp only [foldrm, toList_spec, foldMap_hom_free (foldrM.ofFreeMonoid f),
foldrm.ofFreeMonoid_comp_of, foldrM.get, FreeMonoid.ofList_toList]
|
/-
Copyright (c) 2022 Anand Rao, Rémi Bottinelli. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anand Rao, Rémi Bottinelli
-/
import Mathlib.CategoryTheory.CofilteredSystem
import Mathlib.Combinatorics.SimpleGraph.Connectivity
import Mathlib.Data.Finite.Set
#align_import combinatorics.simple_graph.ends.defs from "leanprover-community/mathlib"@"b99e2d58a5e6861833fa8de11e51a81144258db4"
/-!
# Ends
This file contains a definition of the ends of a simple graph, as sections of the inverse system
assigning, to each finite set of vertices, the connected components of its complement.
-/
universe u
variable {V : Type u} (G : SimpleGraph V) (K L L' M : Set V)
namespace SimpleGraph
/-- The components outside a given set of vertices `K` -/
abbrev ComponentCompl :=
(G.induce Kᶜ).ConnectedComponent
#align simple_graph.component_compl SimpleGraph.ComponentCompl
variable {G} {K L M}
/-- The connected component of `v` in `G.induce Kᶜ`. -/
abbrev componentComplMk (G : SimpleGraph V) {v : V} (vK : v ∉ K) : G.ComponentCompl K :=
connectedComponentMk (G.induce Kᶜ) ⟨v, vK⟩
#align simple_graph.component_compl_mk SimpleGraph.componentComplMk
/-- The set of vertices of `G` making up the connected component `C` -/
def ComponentCompl.supp (C : G.ComponentCompl K) : Set V :=
{ v : V | ∃ h : v ∉ K, G.componentComplMk h = C }
#align simple_graph.component_compl.supp SimpleGraph.ComponentCompl.supp
@[ext]
theorem ComponentCompl.supp_injective :
Function.Injective (ComponentCompl.supp : G.ComponentCompl K → Set V) := by
refine ConnectedComponent.ind₂ ?_
rintro ⟨v, hv⟩ ⟨w, hw⟩ h
simp only [Set.ext_iff, ConnectedComponent.eq, Set.mem_setOf_eq, ComponentCompl.supp] at h ⊢
exact ((h v).mp ⟨hv, Reachable.refl _⟩).choose_spec
#align simple_graph.component_compl.supp_injective SimpleGraph.ComponentCompl.supp_injective
theorem ComponentCompl.supp_inj {C D : G.ComponentCompl K} : C.supp = D.supp ↔ C = D :=
ComponentCompl.supp_injective.eq_iff
#align simple_graph.component_compl.supp_inj SimpleGraph.ComponentCompl.supp_inj
instance ComponentCompl.setLike : SetLike (G.ComponentCompl K) V where
coe := ComponentCompl.supp
coe_injective' _ _ := ComponentCompl.supp_inj.mp
#align simple_graph.component_compl.set_like SimpleGraph.ComponentCompl.setLike
@[simp]
theorem ComponentCompl.mem_supp_iff {v : V} {C : ComponentCompl G K} :
v ∈ C ↔ ∃ vK : v ∉ K, G.componentComplMk vK = C :=
Iff.rfl
#align simple_graph.component_compl.mem_supp_iff SimpleGraph.ComponentCompl.mem_supp_iff
theorem componentComplMk_mem (G : SimpleGraph V) {v : V} (vK : v ∉ K) : v ∈ G.componentComplMk vK :=
⟨vK, rfl⟩
#align simple_graph.component_compl_mk_mem SimpleGraph.componentComplMk_mem
theorem componentComplMk_eq_of_adj (G : SimpleGraph V) {v w : V} (vK : v ∉ K) (wK : w ∉ K)
(a : G.Adj v w) : G.componentComplMk vK = G.componentComplMk wK := by
rw [ConnectedComponent.eq]
apply Adj.reachable
exact a
#align simple_graph.component_compl_mk_eq_of_adj SimpleGraph.componentComplMk_eq_of_adj
/-- In an infinite graph, the set of components out of a finite set is nonempty. -/
instance componentCompl_nonempty_of_infinite (G : SimpleGraph V) [Infinite V] (K : Finset V) :
Nonempty (G.ComponentCompl K) :=
let ⟨_, kK⟩ := K.finite_toSet.infinite_compl.nonempty
⟨componentComplMk _ kK⟩
namespace ComponentCompl
/-- A `ComponentCompl` specialization of `Quot.lift`, where soundness has to be proved only
for adjacent vertices.
-/
protected def lift {β : Sort*} (f : ∀ ⦃v⦄ (_ : v ∉ K), β)
(h : ∀ ⦃v w⦄ (hv : v ∉ K) (hw : w ∉ K), G.Adj v w → f hv = f hw) : G.ComponentCompl K → β :=
ConnectedComponent.lift (fun vv => f vv.prop) fun v w p => by
induction' p with _ u v w a q ih
· rintro _
rfl
· rintro h'
exact (h u.prop v.prop a).trans (ih h'.of_cons)
#align simple_graph.component_compl.lift SimpleGraph.ComponentCompl.lift
@[elab_as_elim] -- Porting note: added
protected theorem ind {β : G.ComponentCompl K → Prop}
(f : ∀ ⦃v⦄ (hv : v ∉ K), β (G.componentComplMk hv)) : ∀ C : G.ComponentCompl K, β C := by
apply ConnectedComponent.ind
exact fun ⟨v, vnK⟩ => f vnK
#align simple_graph.component_compl.ind SimpleGraph.ComponentCompl.ind
/-- The induced graph on the vertices `C`. -/
protected abbrev coeGraph (C : ComponentCompl G K) : SimpleGraph C :=
G.induce (C : Set V)
#align simple_graph.component_compl.coe_graph SimpleGraph.ComponentCompl.coeGraph
theorem coe_inj {C D : G.ComponentCompl K} : (C : Set V) = (D : Set V) ↔ C = D :=
SetLike.coe_set_eq
#align simple_graph.component_compl.coe_inj SimpleGraph.ComponentCompl.coe_inj
@[simp]
protected theorem nonempty (C : G.ComponentCompl K) : (C : Set V).Nonempty :=
C.ind fun v vnK => ⟨v, vnK, rfl⟩
#align simple_graph.component_compl.nonempty SimpleGraph.ComponentCompl.nonempty
protected theorem exists_eq_mk (C : G.ComponentCompl K) :
∃ (v : _) (h : v ∉ K), G.componentComplMk h = C :=
C.nonempty
#align simple_graph.component_compl.exists_eq_mk SimpleGraph.ComponentCompl.exists_eq_mk
protected theorem disjoint_right (C : G.ComponentCompl K) : Disjoint K C := by
rw [Set.disjoint_iff]
exact fun v ⟨vK, vC⟩ => vC.choose vK
#align simple_graph.component_compl.disjoint_right SimpleGraph.ComponentCompl.disjoint_right
theorem not_mem_of_mem {C : G.ComponentCompl K} {c : V} (cC : c ∈ C) : c ∉ K := fun cK =>
Set.disjoint_iff.mp C.disjoint_right ⟨cK, cC⟩
#align simple_graph.component_compl.not_mem_of_mem SimpleGraph.ComponentCompl.not_mem_of_mem
protected theorem pairwise_disjoint :
Pairwise fun C D : G.ComponentCompl K => Disjoint (C : Set V) (D : Set V) := by
rintro C D ne
rw [Set.disjoint_iff]
exact fun u ⟨uC, uD⟩ => ne (uC.choose_spec.symm.trans uD.choose_spec)
#align simple_graph.component_compl.pairwise_disjoint SimpleGraph.ComponentCompl.pairwise_disjoint
/-- Any vertex adjacent to a vertex of `C` and not lying in `K` must lie in `C`.
-/
theorem mem_of_adj : ∀ {C : G.ComponentCompl K} (c d : V), c ∈ C → d ∉ K → G.Adj c d → d ∈ C :=
fun {C} c d ⟨cnK, h⟩ dnK cd =>
⟨dnK, by
rw [← h, ConnectedComponent.eq]
exact Adj.reachable cd.symm⟩
#align simple_graph.component_compl.mem_of_adj SimpleGraph.ComponentCompl.mem_of_adj
/--
Assuming `G` is preconnected and `K` not empty, given any connected component `C` outside of `K`,
there exists a vertex `k ∈ K` adjacent to a vertex `v ∈ C`.
-/
theorem exists_adj_boundary_pair (Gc : G.Preconnected) (hK : K.Nonempty) :
∀ C : G.ComponentCompl K, ∃ ck : V × V, ck.1 ∈ C ∧ ck.2 ∈ K ∧ G.Adj ck.1 ck.2 := by
refine ComponentCompl.ind fun v vnK => ?_
let C : G.ComponentCompl K := G.componentComplMk vnK
let dis := Set.disjoint_iff.mp C.disjoint_right
by_contra! h
suffices Set.univ = (C : Set V) by exact dis ⟨hK.choose_spec, this ▸ Set.mem_univ hK.some⟩
symm
rw [Set.eq_univ_iff_forall]
rintro u
by_contra unC
obtain ⟨p⟩ := Gc v u
obtain ⟨⟨⟨x, y⟩, xy⟩, -, xC, ynC⟩ :=
p.exists_boundary_dart (C : Set V) (G.componentComplMk_mem vnK) unC
exact ynC (mem_of_adj x y xC (fun yK : y ∈ K => h ⟨x, y⟩ xC yK xy) xy)
#align simple_graph.component_compl.exists_adj_boundary_pair SimpleGraph.ComponentCompl.exists_adj_boundary_pair
/--
If `K ⊆ L`, the components outside of `L` are all contained in a single component outside of `K`.
-/
abbrev hom (h : K ⊆ L) (C : G.ComponentCompl L) : G.ComponentCompl K :=
C.map <| induceHom Hom.id <| Set.compl_subset_compl.2 h
#align simple_graph.component_compl.hom SimpleGraph.ComponentCompl.hom
theorem subset_hom (C : G.ComponentCompl L) (h : K ⊆ L) : (C : Set V) ⊆ (C.hom h : Set V) := by
rintro c ⟨cL, rfl⟩
exact ⟨fun h' => cL (h h'), rfl⟩
#align simple_graph.component_compl.subset_hom SimpleGraph.ComponentCompl.subset_hom
theorem _root_.SimpleGraph.componentComplMk_mem_hom
(G : SimpleGraph V) {v : V} (vK : v ∉ K) (h : L ⊆ K) :
v ∈ (G.componentComplMk vK).hom h :=
subset_hom (G.componentComplMk vK) h (G.componentComplMk_mem vK)
#align simple_graph.component_compl_mk_mem_hom SimpleGraph.componentComplMk_mem_hom
theorem hom_eq_iff_le (C : G.ComponentCompl L) (h : K ⊆ L) (D : G.ComponentCompl K) :
C.hom h = D ↔ (C : Set V) ⊆ (D : Set V) :=
⟨fun h' => h' ▸ C.subset_hom h, C.ind fun _ vnL vD => (vD ⟨vnL, rfl⟩).choose_spec⟩
#align simple_graph.component_compl.hom_eq_iff_le SimpleGraph.ComponentCompl.hom_eq_iff_le
| Mathlib/Combinatorics/SimpleGraph/Ends/Defs.lean | 194 | 204 | theorem hom_eq_iff_not_disjoint (C : G.ComponentCompl L) (h : K ⊆ L) (D : G.ComponentCompl K) :
C.hom h = D ↔ ¬Disjoint (C : Set V) (D : Set V) := by |
rw [Set.not_disjoint_iff]
constructor
· rintro rfl
refine C.ind fun x xnL => ?_
exact ⟨x, ⟨xnL, rfl⟩, ⟨fun xK => xnL (h xK), rfl⟩⟩
· refine C.ind fun x xnL => ?_
rintro ⟨x, ⟨_, e₁⟩, _, rfl⟩
rw [← e₁]
rfl
|
/-
Copyright (c) 2021 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import Mathlib.Logic.Small.Defs
import Mathlib.Logic.Equiv.Set
#align_import logic.small.basic from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105"
/-!
# Instances and theorems for `Small`.
In particular we prove `small_of_injective` and `small_of_surjective`.
-/
universe u w v v'
section
open scoped Classical
instance small_subtype (α : Type v) [Small.{w} α] (P : α → Prop) : Small.{w} { x // P x } :=
small_map (equivShrink α).subtypeEquivOfSubtype'
#align small_subtype small_subtype
theorem small_of_injective {α : Type v} {β : Type w} [Small.{u} β] {f : α → β}
(hf : Function.Injective f) : Small.{u} α :=
small_map (Equiv.ofInjective f hf)
#align small_of_injective small_of_injective
theorem small_of_surjective {α : Type v} {β : Type w} [Small.{u} α] {f : α → β}
(hf : Function.Surjective f) : Small.{u} β :=
small_of_injective (Function.injective_surjInv hf)
#align small_of_surjective small_of_surjective
instance (priority := 100) small_subsingleton (α : Type v) [Subsingleton α] : Small.{w} α := by
rcases isEmpty_or_nonempty α with ⟨⟩
· apply small_map (Equiv.equivPEmpty α)
· apply small_map Equiv.punitOfNonemptyOfSubsingleton
#align small_subsingleton small_subsingleton
/-- This can be seen as a version of `small_of_surjective` in which the function `f` doesn't
actually land in `β` but in some larger type `γ` related to `β` via an injective function `g`.
-/
| Mathlib/Logic/Small/Basic.lean | 46 | 54 | theorem small_of_injective_of_exists {α : Type v} {β : Type w} {γ : Type v'} [Small.{u} α]
(f : α → γ) {g : β → γ} (hg : Function.Injective g) (h : ∀ b : β, ∃ a : α, f a = g b) :
Small.{u} β := by |
by_cases hβ : Nonempty β
· refine small_of_surjective (f := Function.invFun g ∘ f) (fun b => ?_)
obtain ⟨a, ha⟩ := h b
exact ⟨a, by rw [Function.comp_apply, ha, Function.leftInverse_invFun hg]⟩
· simp only [not_nonempty_iff] at hβ
infer_instance
|
/-
Copyright (c) 2020 Johan Commelin, Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Robert Y. Lewis
-/
import Mathlib.NumberTheory.Padics.PadicIntegers
import Mathlib.RingTheory.ZMod
#align_import number_theory.padics.ring_homs from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950"
/-!
# Relating `ℤ_[p]` to `ZMod (p ^ n)`
In this file we establish connections between the `p`-adic integers $\mathbb{Z}_p$
and the integers modulo powers of `p`, $\mathbb{Z}/p^n\mathbb{Z}$.
## Main declarations
We show that $\mathbb{Z}_p$ has a ring hom to $\mathbb{Z}/p^n\mathbb{Z}$ for each `n`.
The case for `n = 1` is handled separately, since it is used in the general construction
and we may want to use it without the `^1` getting in the way.
* `PadicInt.toZMod`: ring hom to `ZMod p`
* `PadicInt.toZModPow`: ring hom to `ZMod (p^n)`
* `PadicInt.ker_toZMod` / `PadicInt.ker_toZModPow`: the kernels of these maps are the ideals
generated by `p^n`
We also establish the universal property of $\mathbb{Z}_p$ as a projective limit.
Given a family of compatible ring homs $f_k : R \to \mathbb{Z}/p^n\mathbb{Z}$,
there is a unique limit $R \to \mathbb{Z}_p$.
* `PadicInt.lift`: the limit function
* `PadicInt.lift_spec` / `PadicInt.lift_unique`: the universal property
## Implementation notes
The ring hom constructions go through an auxiliary constructor `PadicInt.toZModHom`,
which removes some boilerplate code.
-/
noncomputable section
open scoped Classical
open Nat LocalRing Padic
namespace PadicInt
variable {p : ℕ} [hp_prime : Fact p.Prime]
section RingHoms
/-! ### Ring homomorphisms to `ZMod p` and `ZMod (p ^ n)` -/
variable (p) (r : ℚ)
/-- `modPart p r` is an integer that satisfies
`‖(r - modPart p r : ℚ_[p])‖ < 1` when `‖(r : ℚ_[p])‖ ≤ 1`,
see `PadicInt.norm_sub_modPart`.
It is the unique non-negative integer that is `< p` with this property.
(Note that this definition assumes `r : ℚ`.
See `PadicInt.zmodRepr` for a version that takes values in `ℕ`
and works for arbitrary `x : ℤ_[p]`.) -/
def modPart : ℤ :=
r.num * gcdA r.den p % p
#align padic_int.mod_part PadicInt.modPart
variable {p}
theorem modPart_lt_p : modPart p r < p := by
convert Int.emod_lt _ _
· simp
· exact mod_cast hp_prime.1.ne_zero
#align padic_int.mod_part_lt_p PadicInt.modPart_lt_p
theorem modPart_nonneg : 0 ≤ modPart p r :=
Int.emod_nonneg _ <| mod_cast hp_prime.1.ne_zero
#align padic_int.mod_part_nonneg PadicInt.modPart_nonneg
theorem isUnit_den (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) : IsUnit (r.den : ℤ_[p]) := by
rw [isUnit_iff]
apply le_antisymm (r.den : ℤ_[p]).2
rw [← not_lt, coe_natCast]
intro norm_denom_lt
have hr : ‖(r * r.den : ℚ_[p])‖ = ‖(r.num : ℚ_[p])‖ := by
congr
rw_mod_cast [@Rat.mul_den_eq_num r]
rw [padicNormE.mul] at hr
have key : ‖(r.num : ℚ_[p])‖ < 1 := by
calc
_ = _ := hr.symm
_ < 1 * 1 := mul_lt_mul' h norm_denom_lt (norm_nonneg _) zero_lt_one
_ = 1 := mul_one 1
have : ↑p ∣ r.num ∧ (p : ℤ) ∣ r.den := by
simp only [← norm_int_lt_one_iff_dvd, ← padic_norm_e_of_padicInt]
exact ⟨key, norm_denom_lt⟩
apply hp_prime.1.not_dvd_one
rwa [← r.reduced.gcd_eq_one, Nat.dvd_gcd_iff, ← Int.natCast_dvd, ← Int.natCast_dvd_natCast]
#align padic_int.is_unit_denom PadicInt.isUnit_den
theorem norm_sub_modPart_aux (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) :
↑p ∣ r.num - r.num * r.den.gcdA p % p * ↑r.den := by
rw [← ZMod.intCast_zmod_eq_zero_iff_dvd]
simp only [Int.cast_natCast, ZMod.natCast_mod, Int.cast_mul, Int.cast_sub]
have := congr_arg (fun x => x % p : ℤ → ZMod p) (gcd_eq_gcd_ab r.den p)
simp only [Int.cast_natCast, CharP.cast_eq_zero, EuclideanDomain.mod_zero, Int.cast_add,
Int.cast_mul, zero_mul, add_zero] at this
push_cast
rw [mul_right_comm, mul_assoc, ← this]
suffices rdcp : r.den.Coprime p by
rw [rdcp.gcd_eq_one]
simp only [mul_one, cast_one, sub_self]
apply Coprime.symm
apply (coprime_or_dvd_of_prime hp_prime.1 _).resolve_right
rw [← Int.natCast_dvd_natCast, ← norm_int_lt_one_iff_dvd, not_lt]
apply ge_of_eq
rw [← isUnit_iff]
exact isUnit_den r h
#align padic_int.norm_sub_mod_part_aux PadicInt.norm_sub_modPart_aux
theorem norm_sub_modPart (h : ‖(r : ℚ_[p])‖ ≤ 1) : ‖(⟨r, h⟩ - modPart p r : ℤ_[p])‖ < 1 := by
let n := modPart p r
rw [norm_lt_one_iff_dvd, ← (isUnit_den r h).dvd_mul_right]
suffices ↑p ∣ r.num - n * r.den by
convert (Int.castRingHom ℤ_[p]).map_dvd this
simp only [sub_mul, Int.cast_natCast, eq_intCast, Int.cast_mul, sub_left_inj, Int.cast_sub]
apply Subtype.coe_injective
simp only [coe_mul, Subtype.coe_mk, coe_natCast]
rw_mod_cast [@Rat.mul_den_eq_num r]
rfl
exact norm_sub_modPart_aux r h
#align padic_int.norm_sub_mod_part PadicInt.norm_sub_modPart
theorem exists_mem_range_of_norm_rat_le_one (h : ‖(r : ℚ_[p])‖ ≤ 1) :
∃ n : ℤ, 0 ≤ n ∧ n < p ∧ ‖(⟨r, h⟩ - n : ℤ_[p])‖ < 1 :=
⟨modPart p r, modPart_nonneg _, modPart_lt_p _, norm_sub_modPart _ h⟩
#align padic_int.exists_mem_range_of_norm_rat_le_one PadicInt.exists_mem_range_of_norm_rat_le_one
theorem zmod_congr_of_sub_mem_span_aux (n : ℕ) (x : ℤ_[p]) (a b : ℤ)
(ha : x - a ∈ (Ideal.span {(p : ℤ_[p]) ^ n}))
(hb : x - b ∈ (Ideal.span {(p : ℤ_[p]) ^ n})) : (a : ZMod (p ^ n)) = b := by
rw [Ideal.mem_span_singleton] at ha hb
rw [← sub_eq_zero, ← Int.cast_sub, ZMod.intCast_zmod_eq_zero_iff_dvd, Int.natCast_pow]
rw [← dvd_neg, neg_sub] at ha
have := dvd_add ha hb
rwa [sub_eq_add_neg, sub_eq_add_neg, add_assoc, neg_add_cancel_left, ← sub_eq_add_neg, ←
Int.cast_sub, pow_p_dvd_int_iff] at this
#align padic_int.zmod_congr_of_sub_mem_span_aux PadicInt.zmod_congr_of_sub_mem_span_aux
theorem zmod_congr_of_sub_mem_span (n : ℕ) (x : ℤ_[p]) (a b : ℕ)
(ha : x - a ∈ (Ideal.span {(p : ℤ_[p]) ^ n}))
(hb : x - b ∈ (Ideal.span {(p : ℤ_[p]) ^ n})) : (a : ZMod (p ^ n)) = b := by
simpa using zmod_congr_of_sub_mem_span_aux n x a b ha hb
#align padic_int.zmod_congr_of_sub_mem_span PadicInt.zmod_congr_of_sub_mem_span
theorem zmod_congr_of_sub_mem_max_ideal (x : ℤ_[p]) (m n : ℕ) (hm : x - m ∈ maximalIdeal ℤ_[p])
(hn : x - n ∈ maximalIdeal ℤ_[p]) : (m : ZMod p) = n := by
rw [maximalIdeal_eq_span_p] at hm hn
have := zmod_congr_of_sub_mem_span_aux 1 x m n
simp only [pow_one] at this
specialize this hm hn
apply_fun ZMod.castHom (show p ∣ p ^ 1 by rw [pow_one]) (ZMod p) at this
simp only [map_intCast] at this
simpa only [Int.cast_natCast] using this
#align padic_int.zmod_congr_of_sub_mem_max_ideal PadicInt.zmod_congr_of_sub_mem_max_ideal
variable (x : ℤ_[p])
theorem exists_mem_range : ∃ n : ℕ, n < p ∧ x - n ∈ maximalIdeal ℤ_[p] := by
simp only [maximalIdeal_eq_span_p, Ideal.mem_span_singleton, ← norm_lt_one_iff_dvd]
obtain ⟨r, hr⟩ := rat_dense p (x : ℚ_[p]) zero_lt_one
have H : ‖(r : ℚ_[p])‖ ≤ 1 := by
rw [norm_sub_rev] at hr
calc
_ = ‖(r : ℚ_[p]) - x + x‖ := by ring_nf
_ ≤ _ := padicNormE.nonarchimedean _ _
_ ≤ _ := max_le (le_of_lt hr) x.2
obtain ⟨n, hzn, hnp, hn⟩ := exists_mem_range_of_norm_rat_le_one r H
lift n to ℕ using hzn
use n
constructor
· exact mod_cast hnp
simp only [norm_def, coe_sub, Subtype.coe_mk, coe_natCast] at hn ⊢
rw [show (x - n : ℚ_[p]) = x - r + (r - n) by ring]
apply lt_of_le_of_lt (padicNormE.nonarchimedean _ _)
apply max_lt hr
simpa using hn
#align padic_int.exists_mem_range PadicInt.exists_mem_range
/-- `zmod_repr x` is the unique natural number smaller than `p`
satisfying `‖(x - zmod_repr x : ℤ_[p])‖ < 1`.
-/
def zmodRepr : ℕ :=
Classical.choose (exists_mem_range x)
#align padic_int.zmod_repr PadicInt.zmodRepr
theorem zmodRepr_spec : zmodRepr x < p ∧ x - zmodRepr x ∈ maximalIdeal ℤ_[p] :=
Classical.choose_spec (exists_mem_range x)
#align padic_int.zmod_repr_spec PadicInt.zmodRepr_spec
theorem zmodRepr_lt_p : zmodRepr x < p :=
(zmodRepr_spec _).1
#align padic_int.zmod_repr_lt_p PadicInt.zmodRepr_lt_p
theorem sub_zmodRepr_mem : x - zmodRepr x ∈ maximalIdeal ℤ_[p] :=
(zmodRepr_spec _).2
#align padic_int.sub_zmod_repr_mem PadicInt.sub_zmodRepr_mem
/-- `toZModHom` is an auxiliary constructor for creating ring homs from `ℤ_[p]` to `ZMod v`.
-/
def toZModHom (v : ℕ) (f : ℤ_[p] → ℕ) (f_spec : ∀ x, x - f x ∈ (Ideal.span {↑v} : Ideal ℤ_[p]))
(f_congr :
∀ (x : ℤ_[p]) (a b : ℕ),
x - a ∈ (Ideal.span {↑v} : Ideal ℤ_[p]) →
x - b ∈ (Ideal.span {↑v} : Ideal ℤ_[p]) → (a : ZMod v) = b) :
ℤ_[p] →+* ZMod v where
toFun x := f x
map_zero' := by
dsimp only
rw [f_congr (0 : ℤ_[p]) _ 0, cast_zero]
· exact f_spec _
· simp only [sub_zero, cast_zero, Submodule.zero_mem]
map_one' := by
dsimp only
rw [f_congr (1 : ℤ_[p]) _ 1, cast_one]
· exact f_spec _
· simp only [sub_self, cast_one, Submodule.zero_mem]
map_add' := by
intro x y
dsimp only
rw [f_congr (x + y) _ (f x + f y), cast_add]
· exact f_spec _
· convert Ideal.add_mem _ (f_spec x) (f_spec y) using 1
rw [cast_add]
ring
map_mul' := by
intro x y
dsimp only
rw [f_congr (x * y) _ (f x * f y), cast_mul]
· exact f_spec _
· let I : Ideal ℤ_[p] := Ideal.span {↑v}
convert I.add_mem (I.mul_mem_left x (f_spec y)) (I.mul_mem_right ↑(f y) (f_spec x)) using 1
rw [cast_mul]
ring
#align padic_int.to_zmod_hom PadicInt.toZModHom
/-- `toZMod` is a ring hom from `ℤ_[p]` to `ZMod p`,
with the equality `toZMod x = (zmodRepr x : ZMod p)`.
-/
def toZMod : ℤ_[p] →+* ZMod p :=
toZModHom p zmodRepr
(by
rw [← maximalIdeal_eq_span_p]
exact sub_zmodRepr_mem)
(by
rw [← maximalIdeal_eq_span_p]
exact zmod_congr_of_sub_mem_max_ideal)
#align padic_int.to_zmod PadicInt.toZMod
/-- `z - (toZMod z : ℤ_[p])` is contained in the maximal ideal of `ℤ_[p]`, for every `z : ℤ_[p]`.
The coercion from `ZMod p` to `ℤ_[p]` is `ZMod.cast`,
which coerces `ZMod p` into arbitrary rings.
This is unfortunate, but a consequence of the fact that we allow `ZMod p`
to coerce to rings of arbitrary characteristic, instead of only rings of characteristic `p`.
This coercion is only a ring homomorphism if it coerces into a ring whose characteristic divides
`p`. While this is not the case here we can still make use of the coercion.
-/
theorem toZMod_spec : x - (ZMod.cast (toZMod x) : ℤ_[p]) ∈ maximalIdeal ℤ_[p] := by
convert sub_zmodRepr_mem x using 2
dsimp [toZMod, toZModHom]
rcases Nat.exists_eq_add_of_lt hp_prime.1.pos with ⟨p', rfl⟩
change ↑((_ : ZMod (0 + p' + 1)).val) = (_ : ℤ_[0 + p' + 1])
simp only [ZMod.val_natCast, add_zero, add_def, Nat.cast_inj, zero_add]
apply mod_eq_of_lt
simpa only [zero_add] using zmodRepr_lt_p x
#align padic_int.to_zmod_spec PadicInt.toZMod_spec
theorem ker_toZMod : RingHom.ker (toZMod : ℤ_[p] →+* ZMod p) = maximalIdeal ℤ_[p] := by
ext x
rw [RingHom.mem_ker]
constructor
· intro h
simpa only [h, ZMod.cast_zero, sub_zero] using toZMod_spec x
· intro h
rw [← sub_zero x] at h
dsimp [toZMod, toZModHom]
convert zmod_congr_of_sub_mem_max_ideal x _ 0 _ h
· norm_cast
· apply sub_zmodRepr_mem
#align padic_int.ker_to_zmod PadicInt.ker_toZMod
/-- `appr n x` gives a value `v : ℕ` such that `x` and `↑v : ℤ_p` are congruent mod `p^n`.
See `appr_spec`. -/
-- Porting note: removing irreducible solves a lot of problems
noncomputable def appr : ℤ_[p] → ℕ → ℕ
| _x, 0 => 0
| x, n + 1 =>
let y := x - appr x n
if hy : y = 0 then appr x n
else
let u := (unitCoeff hy : ℤ_[p])
appr x n + p ^ n * (toZMod ((u * (p : ℤ_[p]) ^ (y.valuation - n).natAbs) : ℤ_[p])).val
#align padic_int.appr PadicInt.appr
theorem appr_lt (x : ℤ_[p]) (n : ℕ) : x.appr n < p ^ n := by
induction' n with n ih generalizing x
· simp only [appr, zero_eq, _root_.pow_zero, zero_lt_one]
simp only [appr, map_natCast, ZMod.natCast_self, RingHom.map_pow, Int.natAbs, RingHom.map_mul]
have hp : p ^ n < p ^ (n + 1) := by apply pow_lt_pow_right hp_prime.1.one_lt (lt_add_one n)
split_ifs with h
· apply lt_trans (ih _) hp
· calc
_ < p ^ n + p ^ n * (p - 1) := ?_
_ = p ^ (n + 1) := ?_
· apply add_lt_add_of_lt_of_le (ih _)
apply Nat.mul_le_mul_left
apply le_pred_of_lt
apply ZMod.val_lt
· rw [mul_tsub, mul_one, ← _root_.pow_succ]
apply add_tsub_cancel_of_le (le_of_lt hp)
#align padic_int.appr_lt PadicInt.appr_lt
theorem appr_mono (x : ℤ_[p]) : Monotone x.appr := by
apply monotone_nat_of_le_succ
intro n
dsimp [appr]
split_ifs; · rfl
apply Nat.le_add_right
#align padic_int.appr_mono PadicInt.appr_mono
theorem dvd_appr_sub_appr (x : ℤ_[p]) (m n : ℕ) (h : m ≤ n) : p ^ m ∣ x.appr n - x.appr m := by
obtain ⟨k, rfl⟩ := Nat.exists_eq_add_of_le h; clear h
induction' k with k ih
· simp only [zero_eq, add_zero, le_refl, tsub_eq_zero_of_le, ne_eq, Nat.isUnit_iff, dvd_zero]
rw [← add_assoc]
dsimp [appr]
split_ifs with h
· exact ih
rw [add_comm, add_tsub_assoc_of_le (appr_mono _ (Nat.le_add_right m k))]
apply dvd_add _ ih
apply dvd_mul_of_dvd_left
apply pow_dvd_pow _ (Nat.le_add_right m k)
#align padic_int.dvd_appr_sub_appr PadicInt.dvd_appr_sub_appr
theorem appr_spec (n : ℕ) : ∀ x : ℤ_[p], x - appr x n ∈ Ideal.span {(p : ℤ_[p]) ^ n} := by
simp only [Ideal.mem_span_singleton]
induction' n with n ih
· simp only [zero_eq, _root_.pow_zero, isUnit_one, IsUnit.dvd, forall_const]
intro x
dsimp only [appr]
split_ifs with h
· rw [h]
apply dvd_zero
push_cast
rw [sub_add_eq_sub_sub]
obtain ⟨c, hc⟩ := ih x
simp only [map_natCast, ZMod.natCast_self, RingHom.map_pow, RingHom.map_mul, ZMod.natCast_val]
have hc' : c ≠ 0 := by
rintro rfl
simp only [mul_zero] at hc
contradiction
conv_rhs =>
congr
simp only [hc]
rw [show (x - (appr x n : ℤ_[p])).valuation = ((p : ℤ_[p]) ^ n * c).valuation by rw [hc]]
rw [valuation_p_pow_mul _ _ hc', add_sub_cancel_left, _root_.pow_succ, ← mul_sub]
apply mul_dvd_mul_left
obtain hc0 | hc0 := eq_or_ne c.valuation.natAbs 0
· simp only [hc0, mul_one, _root_.pow_zero]
rw [mul_comm, unitCoeff_spec h] at hc
suffices c = unitCoeff h by
rw [← this, ← Ideal.mem_span_singleton, ← maximalIdeal_eq_span_p]
apply toZMod_spec
obtain ⟨c, rfl⟩ : IsUnit c := by
-- TODO: write a `CanLift` instance for units
rw [Int.natAbs_eq_zero] at hc0
rw [isUnit_iff, norm_eq_pow_val hc', hc0, neg_zero, zpow_zero]
rw [DiscreteValuationRing.unit_mul_pow_congr_unit _ _ _ _ _ hc]
exact irreducible_p
· simp only [zero_pow hc0, sub_zero, ZMod.cast_zero, mul_zero]
rw [unitCoeff_spec hc']
exact (dvd_pow_self (p : ℤ_[p]) hc0).mul_left _
#align padic_int.appr_spec PadicInt.appr_spec
/-- A ring hom from `ℤ_[p]` to `ZMod (p^n)`, with underlying function `PadicInt.appr n`. -/
def toZModPow (n : ℕ) : ℤ_[p] →+* ZMod (p ^ n) :=
toZModHom (p ^ n) (fun x => appr x n)
(by
intros
rw [Nat.cast_pow]
exact appr_spec n _)
(by
intro x a b ha hb
apply zmod_congr_of_sub_mem_span n x a b
· simpa using ha
· simpa using hb)
#align padic_int.to_zmod_pow PadicInt.toZModPow
theorem ker_toZModPow (n : ℕ) :
RingHom.ker (toZModPow n : ℤ_[p] →+* ZMod (p ^ n)) = Ideal.span {(p : ℤ_[p]) ^ n} := by
ext x
rw [RingHom.mem_ker]
constructor
· intro h
suffices x.appr n = 0 by
convert appr_spec n x
simp only [this, sub_zero, cast_zero]
dsimp [toZModPow, toZModHom] at h
rw [ZMod.natCast_zmod_eq_zero_iff_dvd] at h
apply eq_zero_of_dvd_of_lt h (appr_lt _ _)
· intro h
rw [← sub_zero x] at h
dsimp [toZModPow, toZModHom]
rw [zmod_congr_of_sub_mem_span n x _ 0 _ h, cast_zero]
apply appr_spec
#align padic_int.ker_to_zmod_pow PadicInt.ker_toZModPow
-- @[simp] -- Porting note: not in simpNF
theorem zmod_cast_comp_toZModPow (m n : ℕ) (h : m ≤ n) :
(ZMod.castHom (pow_dvd_pow p h) (ZMod (p ^ m))).comp (@toZModPow p _ n) = @toZModPow p _ m := by
apply ZMod.ringHom_eq_of_ker_eq
ext x
rw [RingHom.mem_ker, RingHom.mem_ker]
simp only [Function.comp_apply, ZMod.castHom_apply, RingHom.coe_comp]
simp only [toZModPow, toZModHom, RingHom.coe_mk]
dsimp
rw [ZMod.cast_natCast (pow_dvd_pow p h),
zmod_congr_of_sub_mem_span m (x.appr n) (x.appr n) (x.appr m)]
· rw [sub_self]
apply Ideal.zero_mem _
· rw [Ideal.mem_span_singleton]
rcases dvd_appr_sub_appr x m n h with ⟨c, hc⟩
use c
rw [← Nat.cast_sub (appr_mono _ h), hc, Nat.cast_mul, Nat.cast_pow]
#align padic_int.zmod_cast_comp_to_zmod_pow PadicInt.zmod_cast_comp_toZModPow
@[simp]
| Mathlib/NumberTheory/Padics/RingHoms.lean | 444 | 447 | theorem cast_toZModPow (m n : ℕ) (h : m ≤ n) (x : ℤ_[p]) :
ZMod.cast (toZModPow n x) = toZModPow m x := by |
rw [← zmod_cast_comp_toZModPow _ _ h]
rfl
|
/-
Copyright (c) 2022 Yaël Dillies, Sara Rousta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Sara Rousta
-/
import Mathlib.Data.SetLike.Basic
import Mathlib.Order.Interval.Set.OrdConnected
import Mathlib.Order.Interval.Set.OrderIso
import Mathlib.Data.Set.Lattice
#align_import order.upper_lower.basic from "leanprover-community/mathlib"@"c0c52abb75074ed8b73a948341f50521fbf43b4c"
/-!
# Up-sets and down-sets
This file defines upper and lower sets in an order.
## Main declarations
* `IsUpperSet`: Predicate for a set to be an upper set. This means every element greater than a
member of the set is in the set itself.
* `IsLowerSet`: Predicate for a set to be a lower set. This means every element less than a member
of the set is in the set itself.
* `UpperSet`: The type of upper sets.
* `LowerSet`: The type of lower sets.
* `upperClosure`: The greatest upper set containing a set.
* `lowerClosure`: The least lower set containing a set.
* `UpperSet.Ici`: Principal upper set. `Set.Ici` as an upper set.
* `UpperSet.Ioi`: Strict principal upper set. `Set.Ioi` as an upper set.
* `LowerSet.Iic`: Principal lower set. `Set.Iic` as a lower set.
* `LowerSet.Iio`: Strict principal lower set. `Set.Iio` as a lower set.
## Notation
* `×ˢ` is notation for `UpperSet.prod` / `LowerSet.prod`.
## Notes
Upper sets are ordered by **reverse** inclusion. This convention is motivated by the fact that this
makes them order-isomorphic to lower sets and antichains, and matches the convention on `Filter`.
## TODO
Lattice structure on antichains. Order equivalence between upper/lower sets and antichains.
-/
open Function OrderDual Set
variable {α β γ : Type*} {ι : Sort*} {κ : ι → Sort*}
/-! ### Unbundled upper/lower sets -/
section LE
variable [LE α] [LE β] {s t : Set α} {a : α}
/-- An upper set in an order `α` is a set such that any element greater than one of its members is
also a member. Also called up-set, upward-closed set. -/
@[aesop norm unfold]
def IsUpperSet (s : Set α) : Prop :=
∀ ⦃a b : α⦄, a ≤ b → a ∈ s → b ∈ s
#align is_upper_set IsUpperSet
/-- A lower set in an order `α` is a set such that any element less than one of its members is also
a member. Also called down-set, downward-closed set. -/
@[aesop norm unfold]
def IsLowerSet (s : Set α) : Prop :=
∀ ⦃a b : α⦄, b ≤ a → a ∈ s → b ∈ s
#align is_lower_set IsLowerSet
theorem isUpperSet_empty : IsUpperSet (∅ : Set α) := fun _ _ _ => id
#align is_upper_set_empty isUpperSet_empty
theorem isLowerSet_empty : IsLowerSet (∅ : Set α) := fun _ _ _ => id
#align is_lower_set_empty isLowerSet_empty
theorem isUpperSet_univ : IsUpperSet (univ : Set α) := fun _ _ _ => id
#align is_upper_set_univ isUpperSet_univ
theorem isLowerSet_univ : IsLowerSet (univ : Set α) := fun _ _ _ => id
#align is_lower_set_univ isLowerSet_univ
theorem IsUpperSet.compl (hs : IsUpperSet s) : IsLowerSet sᶜ := fun _a _b h hb ha => hb <| hs h ha
#align is_upper_set.compl IsUpperSet.compl
theorem IsLowerSet.compl (hs : IsLowerSet s) : IsUpperSet sᶜ := fun _a _b h hb ha => hb <| hs h ha
#align is_lower_set.compl IsLowerSet.compl
@[simp]
theorem isUpperSet_compl : IsUpperSet sᶜ ↔ IsLowerSet s :=
⟨fun h => by
convert h.compl
rw [compl_compl], IsLowerSet.compl⟩
#align is_upper_set_compl isUpperSet_compl
@[simp]
theorem isLowerSet_compl : IsLowerSet sᶜ ↔ IsUpperSet s :=
⟨fun h => by
convert h.compl
rw [compl_compl], IsUpperSet.compl⟩
#align is_lower_set_compl isLowerSet_compl
theorem IsUpperSet.union (hs : IsUpperSet s) (ht : IsUpperSet t) : IsUpperSet (s ∪ t) :=
fun _ _ h => Or.imp (hs h) (ht h)
#align is_upper_set.union IsUpperSet.union
theorem IsLowerSet.union (hs : IsLowerSet s) (ht : IsLowerSet t) : IsLowerSet (s ∪ t) :=
fun _ _ h => Or.imp (hs h) (ht h)
#align is_lower_set.union IsLowerSet.union
theorem IsUpperSet.inter (hs : IsUpperSet s) (ht : IsUpperSet t) : IsUpperSet (s ∩ t) :=
fun _ _ h => And.imp (hs h) (ht h)
#align is_upper_set.inter IsUpperSet.inter
theorem IsLowerSet.inter (hs : IsLowerSet s) (ht : IsLowerSet t) : IsLowerSet (s ∩ t) :=
fun _ _ h => And.imp (hs h) (ht h)
#align is_lower_set.inter IsLowerSet.inter
theorem isUpperSet_sUnion {S : Set (Set α)} (hf : ∀ s ∈ S, IsUpperSet s) : IsUpperSet (⋃₀ S) :=
fun _ _ h => Exists.imp fun _ hs => ⟨hs.1, hf _ hs.1 h hs.2⟩
#align is_upper_set_sUnion isUpperSet_sUnion
theorem isLowerSet_sUnion {S : Set (Set α)} (hf : ∀ s ∈ S, IsLowerSet s) : IsLowerSet (⋃₀ S) :=
fun _ _ h => Exists.imp fun _ hs => ⟨hs.1, hf _ hs.1 h hs.2⟩
#align is_lower_set_sUnion isLowerSet_sUnion
theorem isUpperSet_iUnion {f : ι → Set α} (hf : ∀ i, IsUpperSet (f i)) : IsUpperSet (⋃ i, f i) :=
isUpperSet_sUnion <| forall_mem_range.2 hf
#align is_upper_set_Union isUpperSet_iUnion
theorem isLowerSet_iUnion {f : ι → Set α} (hf : ∀ i, IsLowerSet (f i)) : IsLowerSet (⋃ i, f i) :=
isLowerSet_sUnion <| forall_mem_range.2 hf
#align is_lower_set_Union isLowerSet_iUnion
theorem isUpperSet_iUnion₂ {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsUpperSet (f i j)) :
IsUpperSet (⋃ (i) (j), f i j) :=
isUpperSet_iUnion fun i => isUpperSet_iUnion <| hf i
#align is_upper_set_Union₂ isUpperSet_iUnion₂
theorem isLowerSet_iUnion₂ {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsLowerSet (f i j)) :
IsLowerSet (⋃ (i) (j), f i j) :=
isLowerSet_iUnion fun i => isLowerSet_iUnion <| hf i
#align is_lower_set_Union₂ isLowerSet_iUnion₂
theorem isUpperSet_sInter {S : Set (Set α)} (hf : ∀ s ∈ S, IsUpperSet s) : IsUpperSet (⋂₀ S) :=
fun _ _ h => forall₂_imp fun s hs => hf s hs h
#align is_upper_set_sInter isUpperSet_sInter
theorem isLowerSet_sInter {S : Set (Set α)} (hf : ∀ s ∈ S, IsLowerSet s) : IsLowerSet (⋂₀ S) :=
fun _ _ h => forall₂_imp fun s hs => hf s hs h
#align is_lower_set_sInter isLowerSet_sInter
theorem isUpperSet_iInter {f : ι → Set α} (hf : ∀ i, IsUpperSet (f i)) : IsUpperSet (⋂ i, f i) :=
isUpperSet_sInter <| forall_mem_range.2 hf
#align is_upper_set_Inter isUpperSet_iInter
theorem isLowerSet_iInter {f : ι → Set α} (hf : ∀ i, IsLowerSet (f i)) : IsLowerSet (⋂ i, f i) :=
isLowerSet_sInter <| forall_mem_range.2 hf
#align is_lower_set_Inter isLowerSet_iInter
theorem isUpperSet_iInter₂ {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsUpperSet (f i j)) :
IsUpperSet (⋂ (i) (j), f i j) :=
isUpperSet_iInter fun i => isUpperSet_iInter <| hf i
#align is_upper_set_Inter₂ isUpperSet_iInter₂
theorem isLowerSet_iInter₂ {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsLowerSet (f i j)) :
IsLowerSet (⋂ (i) (j), f i j) :=
isLowerSet_iInter fun i => isLowerSet_iInter <| hf i
#align is_lower_set_Inter₂ isLowerSet_iInter₂
@[simp]
theorem isLowerSet_preimage_ofDual_iff : IsLowerSet (ofDual ⁻¹' s) ↔ IsUpperSet s :=
Iff.rfl
#align is_lower_set_preimage_of_dual_iff isLowerSet_preimage_ofDual_iff
@[simp]
theorem isUpperSet_preimage_ofDual_iff : IsUpperSet (ofDual ⁻¹' s) ↔ IsLowerSet s :=
Iff.rfl
#align is_upper_set_preimage_of_dual_iff isUpperSet_preimage_ofDual_iff
@[simp]
theorem isLowerSet_preimage_toDual_iff {s : Set αᵒᵈ} : IsLowerSet (toDual ⁻¹' s) ↔ IsUpperSet s :=
Iff.rfl
#align is_lower_set_preimage_to_dual_iff isLowerSet_preimage_toDual_iff
@[simp]
theorem isUpperSet_preimage_toDual_iff {s : Set αᵒᵈ} : IsUpperSet (toDual ⁻¹' s) ↔ IsLowerSet s :=
Iff.rfl
#align is_upper_set_preimage_to_dual_iff isUpperSet_preimage_toDual_iff
alias ⟨_, IsUpperSet.toDual⟩ := isLowerSet_preimage_ofDual_iff
#align is_upper_set.to_dual IsUpperSet.toDual
alias ⟨_, IsLowerSet.toDual⟩ := isUpperSet_preimage_ofDual_iff
#align is_lower_set.to_dual IsLowerSet.toDual
alias ⟨_, IsUpperSet.ofDual⟩ := isLowerSet_preimage_toDual_iff
#align is_upper_set.of_dual IsUpperSet.ofDual
alias ⟨_, IsLowerSet.ofDual⟩ := isUpperSet_preimage_toDual_iff
#align is_lower_set.of_dual IsLowerSet.ofDual
lemma IsUpperSet.isLowerSet_preimage_coe (hs : IsUpperSet s) :
IsLowerSet ((↑) ⁻¹' t : Set s) ↔ ∀ b ∈ s, ∀ c ∈ t, b ≤ c → b ∈ t := by aesop
lemma IsLowerSet.isUpperSet_preimage_coe (hs : IsLowerSet s) :
IsUpperSet ((↑) ⁻¹' t : Set s) ↔ ∀ b ∈ s, ∀ c ∈ t, c ≤ b → b ∈ t := by aesop
lemma IsUpperSet.sdiff (hs : IsUpperSet s) (ht : ∀ b ∈ s, ∀ c ∈ t, b ≤ c → b ∈ t) :
IsUpperSet (s \ t) :=
fun _b _c hbc hb ↦ ⟨hs hbc hb.1, fun hc ↦ hb.2 <| ht _ hb.1 _ hc hbc⟩
lemma IsLowerSet.sdiff (hs : IsLowerSet s) (ht : ∀ b ∈ s, ∀ c ∈ t, c ≤ b → b ∈ t) :
IsLowerSet (s \ t) :=
fun _b _c hcb hb ↦ ⟨hs hcb hb.1, fun hc ↦ hb.2 <| ht _ hb.1 _ hc hcb⟩
lemma IsUpperSet.sdiff_of_isLowerSet (hs : IsUpperSet s) (ht : IsLowerSet t) : IsUpperSet (s \ t) :=
hs.sdiff <| by aesop
lemma IsLowerSet.sdiff_of_isUpperSet (hs : IsLowerSet s) (ht : IsUpperSet t) : IsLowerSet (s \ t) :=
hs.sdiff <| by aesop
lemma IsUpperSet.erase (hs : IsUpperSet s) (has : ∀ b ∈ s, b ≤ a → b = a) : IsUpperSet (s \ {a}) :=
hs.sdiff <| by simpa using has
lemma IsLowerSet.erase (hs : IsLowerSet s) (has : ∀ b ∈ s, a ≤ b → b = a) : IsLowerSet (s \ {a}) :=
hs.sdiff <| by simpa using has
end LE
section Preorder
variable [Preorder α] [Preorder β] {s : Set α} {p : α → Prop} (a : α)
theorem isUpperSet_Ici : IsUpperSet (Ici a) := fun _ _ => ge_trans
#align is_upper_set_Ici isUpperSet_Ici
theorem isLowerSet_Iic : IsLowerSet (Iic a) := fun _ _ => le_trans
#align is_lower_set_Iic isLowerSet_Iic
theorem isUpperSet_Ioi : IsUpperSet (Ioi a) := fun _ _ => flip lt_of_lt_of_le
#align is_upper_set_Ioi isUpperSet_Ioi
theorem isLowerSet_Iio : IsLowerSet (Iio a) := fun _ _ => lt_of_le_of_lt
#align is_lower_set_Iio isLowerSet_Iio
| Mathlib/Order/UpperLower/Basic.lean | 248 | 249 | theorem isUpperSet_iff_Ici_subset : IsUpperSet s ↔ ∀ ⦃a⦄, a ∈ s → Ici a ⊆ s := by |
simp [IsUpperSet, subset_def, @forall_swap (_ ∈ s)]
|
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