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/-
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, Kim Morrison, Jens Wagemaker
-/
import Mathlib.Algebra.MonoidAlgebra.Support
import Mathlib.Algebra.Polynomial.Basic
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.Algebra.CharP.Defs
/-!
# Theory of univariate polynomials
The theorems include formulas for computing coefficients, such as
`coeff_add`, `coeff_sum`, `coeff_mul`
-/
noncomputable section
open Finsupp Finset AddMonoidAlgebra
open Polynomial
namespace Polynomial
universe u v
variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ}
variable [Semiring R] {p q r : R[X]}
section Coeff
@[simp]
theorem coeff_add (p q : R[X]) (n : ℕ) : coeff (p + q) n = coeff p n + coeff q n := by
rcases p with ⟨⟩
rcases q with ⟨⟩
simp_rw [← ofFinsupp_add, coeff]
exact Finsupp.add_apply _ _ _
@[simp]
theorem coeff_smul [SMulZeroClass S R] (r : S) (p : R[X]) (n : ℕ) :
coeff (r • p) n = r • coeff p n := by
rcases p with ⟨⟩
simp_rw [← ofFinsupp_smul, coeff]
exact Finsupp.smul_apply _ _ _
theorem support_smul [SMulZeroClass S R] (r : S) (p : R[X]) :
support (r • p) ⊆ support p := by
intro i hi
simp? [mem_support_iff] at hi ⊢ says simp only [mem_support_iff, coeff_smul, ne_eq] at hi ⊢
contrapose! hi
simp [hi]
open scoped Pointwise in
theorem card_support_mul_le : #(p * q).support ≤ #p.support * #q.support := by
calc #(p * q).support
_ = #(p.toFinsupp * q.toFinsupp).support := by rw [← support_toFinsupp, toFinsupp_mul]
_ ≤ #(p.toFinsupp.support + q.toFinsupp.support) :=
Finset.card_le_card (AddMonoidAlgebra.support_mul p.toFinsupp q.toFinsupp)
_ ≤ #p.support * #q.support := Finset.card_image₂_le ..
/-- `Polynomial.sum` as a linear map. -/
@[simps]
def lsum {R A M : Type*} [Semiring R] [Semiring A] [AddCommMonoid M] [Module R A] [Module R M]
(f : ℕ → A →ₗ[R] M) : A[X] →ₗ[R] M where
toFun p := p.sum (f · ·)
map_add' p q := sum_add_index p q _ (fun n => (f n).map_zero) fun n _ _ => (f n).map_add _ _
map_smul' c p := by
rw [sum_eq_of_subset (f · ·) (fun n => (f n).map_zero) (support_smul c p)]
simp only [sum_def, Finset.smul_sum, coeff_smul, LinearMap.map_smul, RingHom.id_apply]
variable (R) in
/-- The nth coefficient, as a linear map. -/
def lcoeff (n : ℕ) : R[X] →ₗ[R] R where
toFun p := coeff p n
map_add' p q := coeff_add p q n
map_smul' r p := coeff_smul r p n
@[simp]
theorem lcoeff_apply (n : ℕ) (f : R[X]) : lcoeff R n f = coeff f n :=
rfl
@[simp]
theorem finset_sum_coeff {ι : Type*} (s : Finset ι) (f : ι → R[X]) (n : ℕ) :
coeff (∑ b ∈ s, f b) n = ∑ b ∈ s, coeff (f b) n :=
map_sum (lcoeff R n) _ _
lemma coeff_list_sum (l : List R[X]) (n : ℕ) :
l.sum.coeff n = (l.map (lcoeff R n)).sum :=
map_list_sum (lcoeff R n) _
lemma coeff_list_sum_map {ι : Type*} (l : List ι) (f : ι → R[X]) (n : ℕ) :
(l.map f).sum.coeff n = (l.map (fun a => (f a).coeff n)).sum := by
simp_rw [coeff_list_sum, List.map_map, Function.comp_def, lcoeff_apply]
@[simp]
theorem coeff_sum [Semiring S] (n : ℕ) (f : ℕ → R → S[X]) :
coeff (p.sum f) n = p.sum fun a b => coeff (f a b) n := by
rcases p with ⟨⟩
simp [Polynomial.sum, support_ofFinsupp, coeff_ofFinsupp]
/-- Decomposes the coefficient of the product `p * q` as a sum
over `antidiagonal`. A version which sums over `range (n + 1)` can be obtained
by using `Finset.Nat.sum_antidiagonal_eq_sum_range_succ`. -/
theorem coeff_mul (p q : R[X]) (n : ℕ) :
coeff (p * q) n = ∑ x ∈ antidiagonal n, coeff p x.1 * coeff q x.2 := by
rcases p with ⟨p⟩; rcases q with ⟨q⟩
simp_rw [← ofFinsupp_mul, coeff]
exact AddMonoidAlgebra.mul_apply_antidiagonal p q n _ Finset.mem_antidiagonal
@[simp]
theorem mul_coeff_zero (p q : R[X]) : coeff (p * q) 0 = coeff p 0 * coeff q 0 := by simp [coeff_mul]
theorem mul_coeff_one (p q : R[X]) :
coeff (p * q) 1 = coeff p 0 * coeff q 1 + coeff p 1 * coeff q 0 := by
rw [coeff_mul, Nat.antidiagonal_eq_map]
simp [sum_range_succ]
/-- `constantCoeff p` returns the constant term of the polynomial `p`,
defined as `coeff p 0`. This is a ring homomorphism. -/
@[simps]
def constantCoeff : R[X] →+* R where
toFun p := coeff p 0
map_one' := coeff_one_zero
map_mul' := mul_coeff_zero
map_zero' := coeff_zero 0
map_add' p q := coeff_add p q 0
theorem isUnit_C {x : R} : IsUnit (C x) ↔ IsUnit x :=
⟨fun h => (congr_arg IsUnit coeff_C_zero).mp (h.map <| @constantCoeff R _), fun h => h.map C⟩
| theorem coeff_mul_X_zero (p : R[X]) : coeff (p * X) 0 = 0 := by simp
| Mathlib/Algebra/Polynomial/Coeff.lean | 135 | 135 |
/-
Copyright (c) 2021 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen, Ashvni Narayanan
-/
import Mathlib.FieldTheory.RatFunc.Degree
import Mathlib.RingTheory.DedekindDomain.IntegralClosure
import Mathlib.RingTheory.IntegralClosure.IntegrallyClosed
import Mathlib.Topology.Algebra.Valued.ValuedField
/-!
# Function fields
This file defines a function field and the ring of integers corresponding to it.
## Main definitions
- `FunctionField Fq F` states that `F` is a function field over the (finite) field `Fq`,
i.e. it is a finite extension of the field of rational functions in one variable over `Fq`.
- `FunctionField.ringOfIntegers` defines the ring of integers corresponding to a function field
as the integral closure of `Fq[X]` in the function field.
- `FunctionField.inftyValuation` : The place at infinity on `Fq(t)` is the nonarchimedean
valuation on `Fq(t)` with uniformizer `1/t`.
- `FunctionField.FqtInfty` : The completion `Fq((t⁻¹))` of `Fq(t)` with respect to the
valuation at infinity.
## Implementation notes
The definitions that involve a field of fractions choose a canonical field of fractions,
but are independent of that choice. We also omit assumptions like `Finite Fq` or
`IsScalarTower Fq[X] (FractionRing Fq[X]) F` in definitions,
adding them back in lemmas when they are needed.
## References
* [D. Marcus, *Number Fields*][marcus1977number]
* [J.W.S. Cassels, A. Fröhlich, *Algebraic Number Theory*][cassels1967algebraic]
* [P. Samuel, *Algebraic Theory of Numbers*][samuel1967]
## Tags
function field, ring of integers
-/
noncomputable section
open scoped nonZeroDivisors Polynomial Multiplicative
variable (Fq F : Type*) [Field Fq] [Field F]
/-- `F` is a function field over the finite field `Fq` if it is a finite
extension of the field of rational functions in one variable over `Fq`.
Note that `F` can be a function field over multiple, non-isomorphic, `Fq`.
-/
abbrev FunctionField [Algebra (RatFunc Fq) F] : Prop :=
FiniteDimensional (RatFunc Fq) F
/-- `F` is a function field over `Fq` iff it is a finite extension of `Fq(t)`. -/
theorem functionField_iff (Fqt : Type*) [Field Fqt] [Algebra Fq[X] Fqt]
[IsFractionRing Fq[X] Fqt] [Algebra (RatFunc Fq) F] [Algebra Fqt F] [Algebra Fq[X] F]
[IsScalarTower Fq[X] Fqt F] [IsScalarTower Fq[X] (RatFunc Fq) F] :
FunctionField Fq F ↔ FiniteDimensional Fqt F := by
let e := IsLocalization.algEquiv Fq[X]⁰ (RatFunc Fq) Fqt
have : ∀ (c) (x : F), e c • x = c • x := by
intro c x
rw [Algebra.smul_def, Algebra.smul_def]
congr
refine congr_fun (f := fun c => algebraMap Fqt F (e c)) ?_ c
refine IsLocalization.ext (nonZeroDivisors Fq[X]) _ _ ?_ ?_ ?_ ?_ ?_ <;> intros <;>
simp only [map_one, map_mul, AlgEquiv.commutes, ← IsScalarTower.algebraMap_apply]
constructor <;> intro h
· let b := Module.finBasis (RatFunc Fq) F
exact FiniteDimensional.of_fintype_basis (b.mapCoeffs e this)
· let b := Module.finBasis Fqt F
refine FiniteDimensional.of_fintype_basis (b.mapCoeffs e.symm ?_)
intro c x; convert (this (e.symm c) x).symm; simp only [e.apply_symm_apply]
namespace FunctionField
theorem algebraMap_injective [Algebra Fq[X] F] [Algebra (RatFunc Fq) F]
[IsScalarTower Fq[X] (RatFunc Fq) F] : Function.Injective (⇑(algebraMap Fq[X] F)) := by
rw [IsScalarTower.algebraMap_eq Fq[X] (RatFunc Fq) F]
exact (algebraMap (RatFunc Fq) F).injective.comp (IsFractionRing.injective Fq[X] (RatFunc Fq))
|
@[deprecated (since := "2025-03-03")]
alias _root_.algebraMap_injective := FunctionField.algebraMap_injective
| Mathlib/NumberTheory/FunctionField.lean | 82 | 85 |
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Joey van Langen, Casper Putz
-/
import Mathlib.Algebra.CharP.Algebra
import Mathlib.Algebra.CharP.Reduced
import Mathlib.Algebra.Field.ZMod
import Mathlib.Data.Nat.Prime.Int
import Mathlib.Data.ZMod.ValMinAbs
import Mathlib.LinearAlgebra.FreeModule.Finite.Matrix
import Mathlib.FieldTheory.Finiteness
import Mathlib.FieldTheory.Perfect
import Mathlib.FieldTheory.Separable
import Mathlib.RingTheory.IntegralDomain
/-!
# Finite fields
This file contains basic results about finite fields.
Throughout most of this file, `K` denotes a finite field
and `q` is notation for the cardinality of `K`.
See `RingTheory.IntegralDomain` for the fact that the unit group of a finite field is a
cyclic group, as well as the fact that every finite integral domain is a field
(`Fintype.fieldOfDomain`).
## Main results
1. `Fintype.card_units`: The unit group of a finite field has cardinality `q - 1`.
2. `sum_pow_units`: The sum of `x^i`, where `x` ranges over the units of `K`, is
- `q-1` if `q-1 ∣ i`
- `0` otherwise
3. `FiniteField.card`: The cardinality `q` is a power of the characteristic of `K`.
See `FiniteField.card'` for a variant.
## Notation
Throughout most of this file, `K` denotes a finite field
and `q` is notation for the cardinality of `K`.
## Implementation notes
While `Fintype Kˣ` can be inferred from `Fintype K` in the presence of `DecidableEq K`,
in this file we take the `Fintype Kˣ` argument directly to reduce the chance of typeclass
diamonds, as `Fintype` carries data.
-/
variable {K : Type*} {R : Type*}
local notation "q" => Fintype.card K
open Finset
open scoped Polynomial
namespace FiniteField
section Polynomial
variable [CommRing R] [IsDomain R]
open Polynomial
/-- The cardinality of a field is at most `n` times the cardinality of the image of a degree `n`
polynomial -/
theorem card_image_polynomial_eval [DecidableEq R] [Fintype R] {p : R[X]} (hp : 0 < p.degree) :
Fintype.card R ≤ natDegree p * #(univ.image fun x => eval x p) :=
Finset.card_le_mul_card_image _ _ (fun a _ =>
calc
_ = #(p - C a).roots.toFinset :=
congr_arg card (by simp [Finset.ext_iff, ← mem_roots_sub_C hp])
_ ≤ Multiset.card (p - C a).roots := Multiset.toFinset_card_le _
_ ≤ _ := card_roots_sub_C' hp)
/-- If `f` and `g` are quadratic polynomials, then the `f.eval a + g.eval b = 0` has a solution. -/
theorem exists_root_sum_quadratic [Fintype R] {f g : R[X]} (hf2 : degree f = 2) (hg2 : degree g = 2)
(hR : Fintype.card R % 2 = 1) : ∃ a b, f.eval a + g.eval b = 0 :=
letI := Classical.decEq R
suffices ¬Disjoint (univ.image fun x : R => eval x f)
(univ.image fun x : R => eval x (-g)) by
simp only [disjoint_left, mem_image] at this
push_neg at this
rcases this with ⟨x, ⟨a, _, ha⟩, ⟨b, _, hb⟩⟩
exact ⟨a, b, by rw [ha, ← hb, eval_neg, neg_add_cancel]⟩
fun hd : Disjoint _ _ =>
lt_irrefl (2 * #((univ.image fun x : R => eval x f) ∪ univ.image fun x : R => eval x (-g))) <|
calc 2 * #((univ.image fun x : R => eval x f) ∪ univ.image fun x : R => eval x (-g))
≤ 2 * Fintype.card R := Nat.mul_le_mul_left _ (Finset.card_le_univ _)
_ = Fintype.card R + Fintype.card R := two_mul _
_ < natDegree f * #(univ.image fun x : R => eval x f) +
natDegree (-g) * #(univ.image fun x : R => eval x (-g)) :=
(add_lt_add_of_lt_of_le
(lt_of_le_of_ne (card_image_polynomial_eval (by rw [hf2]; decide))
(mt (congr_arg (· % 2)) (by simp [natDegree_eq_of_degree_eq_some hf2, hR])))
(card_image_polynomial_eval (by rw [degree_neg, hg2]; decide)))
_ = 2 * #((univ.image fun x : R => eval x f) ∪ univ.image fun x : R => eval x (-g)) := by
rw [card_union_of_disjoint hd]
simp [natDegree_eq_of_degree_eq_some hf2, natDegree_eq_of_degree_eq_some hg2, mul_add]
end Polynomial
theorem prod_univ_units_id_eq_neg_one [CommRing K] [IsDomain K] [Fintype Kˣ] :
∏ x : Kˣ, x = (-1 : Kˣ) := by
classical
have : (∏ x ∈ (@univ Kˣ _).erase (-1), x) = 1 :=
prod_involution (fun x _ => x⁻¹) (by simp)
(fun a => by simp +contextual [Units.inv_eq_self_iff])
(fun a => by simp [@inv_eq_iff_eq_inv _ _ a]) (by simp)
rw [← insert_erase (mem_univ (-1 : Kˣ)), prod_insert (not_mem_erase _ _), this, mul_one]
theorem card_cast_subgroup_card_ne_zero [Ring K] [NoZeroDivisors K] [Nontrivial K]
(G : Subgroup Kˣ) [Fintype G] : (Fintype.card G : K) ≠ 0 := by
let n := Fintype.card G
intro nzero
have ⟨p, char_p⟩ := CharP.exists K
have hd : p ∣ n := (CharP.cast_eq_zero_iff K p n).mp nzero
cases CharP.char_is_prime_or_zero K p with
| inr pzero =>
exact (Fintype.card_pos).ne' <| Nat.eq_zero_of_zero_dvd <| pzero ▸ hd
| inl pprime =>
have fact_pprime := Fact.mk pprime
-- G has an element x of order p by Cauchy's theorem
have ⟨x, hx⟩ := exists_prime_orderOf_dvd_card p hd
-- F has an element u (= ↑↑x) of order p
let u := ((x : Kˣ) : K)
have hu : orderOf u = p := by rwa [orderOf_units, Subgroup.orderOf_coe]
-- u ^ p = 1 implies (u - 1) ^ p = 0 and hence u = 1 ...
have h : u = 1 := by
rw [← sub_left_inj, sub_self 1]
apply pow_eq_zero (n := p)
rw [sub_pow_char_of_commute, one_pow, ← hu, pow_orderOf_eq_one, sub_self]
exact Commute.one_right u
-- ... meaning x didn't have order p after all, contradiction
apply pprime.one_lt.ne
rw [← hu, h, orderOf_one]
/-- The sum of a nontrivial subgroup of the units of a field is zero. -/
theorem sum_subgroup_units_eq_zero [Ring K] [NoZeroDivisors K]
{G : Subgroup Kˣ} [Fintype G] (hg : G ≠ ⊥) :
∑ x : G, (x.val : K) = 0 := by
rw [Subgroup.ne_bot_iff_exists_ne_one] at hg
rcases hg with ⟨a, ha⟩
-- The action of a on G as an embedding
let a_mul_emb : G ↪ G := mulLeftEmbedding a
-- ... and leaves G unchanged
have h_unchanged : Finset.univ.map a_mul_emb = Finset.univ := by simp
-- Therefore the sum of x over a G is the sum of a x over G
have h_sum_map := Finset.univ.sum_map a_mul_emb fun x => ((x : Kˣ) : K)
-- ... and the former is the sum of x over G.
-- By algebraic manipulation, we have Σ G, x = ∑ G, a x = a ∑ G, x
simp only [h_unchanged, mulLeftEmbedding_apply, Subgroup.coe_mul, Units.val_mul, ← mul_sum,
a_mul_emb] at h_sum_map
-- thus one of (a - 1) or ∑ G, x is zero
have hzero : (((a : Kˣ) : K) - 1) = 0 ∨ ∑ x : ↥G, ((x : Kˣ) : K) = 0 := by
rw [← mul_eq_zero, sub_mul, ← h_sum_map, one_mul, sub_self]
apply Or.resolve_left hzero
contrapose! ha
ext
rwa [← sub_eq_zero]
/-- The sum of a subgroup of the units of a field is 1 if the subgroup is trivial and 1 otherwise -/
@[simp]
theorem sum_subgroup_units [Ring K] [NoZeroDivisors K]
{G : Subgroup Kˣ} [Fintype G] [Decidable (G = ⊥)] :
∑ x : G, (x.val : K) = if G = ⊥ then 1 else 0 := by
by_cases G_bot : G = ⊥
· subst G_bot
simp only [univ_unique, sum_singleton, ↓reduceIte, Units.val_eq_one, OneMemClass.coe_eq_one]
rw [Set.default_coe_singleton]
rfl
· simp only [G_bot, ite_false]
exact sum_subgroup_units_eq_zero G_bot
@[simp]
theorem sum_subgroup_pow_eq_zero [CommRing K] [NoZeroDivisors K]
{G : Subgroup Kˣ} [Fintype G] {k : ℕ} (k_pos : k ≠ 0) (k_lt_card_G : k < Fintype.card G) :
∑ x : G, ((x : Kˣ) : K) ^ k = 0 := by
rw [← Nat.card_eq_fintype_card] at k_lt_card_G
nontriviality K
have := NoZeroDivisors.to_isDomain K
rcases (exists_pow_ne_one_of_isCyclic k_pos k_lt_card_G) with ⟨a, ha⟩
rw [Finset.sum_eq_multiset_sum]
have h_multiset_map :
Finset.univ.val.map (fun x : G => ((x : Kˣ) : K) ^ k) =
Finset.univ.val.map (fun x : G => ((x : Kˣ) : K) ^ k * ((a : Kˣ) : K) ^ k) := by
simp_rw [← mul_pow]
have as_comp :
(fun x : ↥G => (((x : Kˣ) : K) * ((a : Kˣ) : K)) ^ k)
= (fun x : ↥G => ((x : Kˣ) : K) ^ k) ∘ fun x : ↥G => x * a := by
funext x
simp only [Function.comp_apply, Subgroup.coe_mul, Units.val_mul]
rw [as_comp, ← Multiset.map_map]
congr
rw [eq_comm]
exact Multiset.map_univ_val_equiv (Equiv.mulRight a)
have h_multiset_map_sum : (Multiset.map (fun x : G => ((x : Kˣ) : K) ^ k) Finset.univ.val).sum =
(Multiset.map (fun x : G => ((x : Kˣ) : K) ^ k * ((a : Kˣ) : K) ^ k) Finset.univ.val).sum := by
rw [h_multiset_map]
rw [Multiset.sum_map_mul_right] at h_multiset_map_sum
have hzero : (((a : Kˣ) : K) ^ k - 1 : K)
* (Multiset.map (fun i : G => (i.val : K) ^ k) Finset.univ.val).sum = 0 := by
rw [sub_mul, mul_comm, ← h_multiset_map_sum, one_mul, sub_self]
rw [mul_eq_zero] at hzero
refine hzero.resolve_left fun h => ha ?_
ext
rw [← sub_eq_zero]
simp_rw [SubmonoidClass.coe_pow, Units.val_pow_eq_pow_val, OneMemClass.coe_one, Units.val_one, h]
section
variable [GroupWithZero K] [Fintype K]
theorem pow_card_sub_one_eq_one (a : K) (ha : a ≠ 0) : a ^ (q - 1) = 1 := by
calc
a ^ (Fintype.card K - 1) = (Units.mk0 a ha ^ (Fintype.card K - 1) : Kˣ).1 := by
rw [Units.val_pow_eq_pow_val, Units.val_mk0]
_ = 1 := by
classical
rw [← Fintype.card_units, pow_card_eq_one]
rfl
theorem pow_card (a : K) : a ^ q = a := by
by_cases h : a = 0; · rw [h]; apply zero_pow Fintype.card_ne_zero
rw [← Nat.succ_pred_eq_of_pos Fintype.card_pos, pow_succ, Nat.pred_eq_sub_one,
pow_card_sub_one_eq_one a h, one_mul]
theorem pow_card_pow (n : ℕ) (a : K) : a ^ q ^ n = a := by
induction n with
| zero => simp
| succ n ih => simp [pow_succ, pow_mul, ih, pow_card]
end
variable (K) [Field K] [Fintype K]
/-- The cardinality `q` is a power of the characteristic of `K`. -/
@[stacks 09HY "first part"]
theorem card (p : ℕ) [CharP K p] : ∃ n : ℕ+, Nat.Prime p ∧ q = p ^ (n : ℕ) := by
haveI hp : Fact p.Prime := ⟨CharP.char_is_prime K p⟩
letI : Module (ZMod p) K := { (ZMod.castHom dvd_rfl K : ZMod p →+* _).toModule with }
obtain ⟨n, h⟩ := VectorSpace.card_fintype (ZMod p) K
rw [ZMod.card] at h
refine ⟨⟨n, ?_⟩, hp.1, h⟩
apply Or.resolve_left (Nat.eq_zero_or_pos n)
rintro rfl
rw [pow_zero] at h
have : (0 : K) = 1 := by apply Fintype.card_le_one_iff.mp (le_of_eq h)
exact absurd this zero_ne_one
-- this statement doesn't use `q` because we want `K` to be an explicit parameter
theorem card' : ∃ (p : ℕ), CharP K p ∧ ∃ (n : ℕ+), Nat.Prime p ∧ Fintype.card K = p ^ (n : ℕ) :=
let ⟨p, hc⟩ := CharP.exists K
⟨p, hc, @FiniteField.card K _ _ p hc⟩
lemma isPrimePow_card : IsPrimePow (Fintype.card K) := by
obtain ⟨p, _, n, hp, hn⟩ := card' K
exact ⟨p, n, Nat.prime_iff.mp hp, n.prop, hn.symm⟩
theorem cast_card_eq_zero : (q : K) = 0 := by
simp
theorem forall_pow_eq_one_iff (i : ℕ) : (∀ x : Kˣ, x ^ i = 1) ↔ q - 1 ∣ i := by
classical
obtain ⟨x, hx⟩ := IsCyclic.exists_generator (α := Kˣ)
rw [← Nat.card_eq_fintype_card, ← Nat.card_units, ← orderOf_eq_card_of_forall_mem_zpowers hx,
orderOf_dvd_iff_pow_eq_one]
constructor
· intro h; apply h
· intro h y
simp_rw [← mem_powers_iff_mem_zpowers] at hx
rcases hx y with ⟨j, rfl⟩
rw [← pow_mul, mul_comm, pow_mul, h, one_pow]
/-- The sum of `x ^ i` as `x` ranges over the units of a finite field of cardinality `q`
is equal to `0` unless `(q - 1) ∣ i`, in which case the sum is `q - 1`. -/
theorem sum_pow_units [DecidableEq K] (i : ℕ) :
(∑ x : Kˣ, (x ^ i : K)) = if q - 1 ∣ i then -1 else 0 := by
let φ : Kˣ →* K :=
{ toFun := fun x => x ^ i
map_one' := by simp
map_mul' := by intros; simp [mul_pow] }
have : Decidable (φ = 1) := by classical infer_instance
calc (∑ x : Kˣ, φ x) = if φ = 1 then Fintype.card Kˣ else 0 := sum_hom_units φ
_ = if q - 1 ∣ i then -1 else 0 := by
suffices q - 1 ∣ i ↔ φ = 1 by
simp only [this]
split_ifs; swap
· exact Nat.cast_zero
· rw [Fintype.card_units, Nat.cast_sub,
cast_card_eq_zero, Nat.cast_one, zero_sub]
show 1 ≤ q; exact Fintype.card_pos_iff.mpr ⟨0⟩
rw [← forall_pow_eq_one_iff, DFunLike.ext_iff]
apply forall_congr'; intro x; simp [φ, Units.ext_iff]
/-- The sum of `x ^ i` as `x` ranges over a finite field of cardinality `q`
is equal to `0` if `i < q - 1`. -/
theorem sum_pow_lt_card_sub_one (i : ℕ) (h : i < q - 1) : ∑ x : K, x ^ i = 0 := by
by_cases hi : i = 0
· simp only [hi, nsmul_one, sum_const, pow_zero, card_univ, cast_card_eq_zero]
classical
have hiq : ¬q - 1 ∣ i := by contrapose! h; exact Nat.le_of_dvd (Nat.pos_of_ne_zero hi) h
let φ : Kˣ ↪ K := ⟨fun x ↦ x, Units.ext⟩
have : univ.map φ = univ \ {0} := by
ext x
simpa only [mem_map, mem_univ, Function.Embedding.coeFn_mk, true_and, mem_sdiff,
mem_singleton, φ] using isUnit_iff_ne_zero
calc
∑ x : K, x ^ i = ∑ x ∈ univ \ {(0 : K)}, x ^ i := by
rw [← sum_sdiff ({0} : Finset K).subset_univ, sum_singleton, zero_pow hi, add_zero]
_ = ∑ x : Kˣ, (x ^ i : K) := by simp [φ, ← this, univ.sum_map φ]
_ = 0 := by rw [sum_pow_units K i, if_neg]; exact hiq
section frobenius
variable (R) [CommRing R] [Algebra K R]
/-- If `R` is an algebra over a finite field `K`, the Frobenius `K`-algebra endomorphism of `R` is
given by raising every element of `R` to its `#K`-th power. -/
@[simps!] def frobeniusAlgHom : R →ₐ[K] R where
__ := powMonoidHom q
map_zero' := zero_pow Fintype.card_pos.ne'
map_add' _ _ := by
obtain ⟨p, _, _, hp, card_eq⟩ := card' K
nontriviality R
have : CharP R p := charP_of_injective_algebraMap' K R p
have : ExpChar R p := .prime hp
simp only [OneHom.toFun_eq_coe, MonoidHom.toOneHom_coe, powMonoidHom_apply, card_eq]
exact add_pow_expChar_pow ..
commutes' _ := by simp [← RingHom.map_pow, pow_card]
theorem coe_frobeniusAlgHom : ⇑(frobeniusAlgHom K R) = (· ^ q) := rfl
/-- If `R` is a perfect ring and an algebra over a finite field `K`, the Frobenius `K`-algebra
endomorphism of `R` is an automorphism. -/
@[simps!] noncomputable def frobeniusAlgEquiv (p : ℕ) [ExpChar R p] [PerfectRing R p] : R ≃ₐ[K] R :=
.ofBijective (frobeniusAlgHom K R) <| by
obtain ⟨p', _, n, hp, card_eq⟩ := card' K
rw [coe_frobeniusAlgHom, card_eq]
have : ExpChar K p' := ExpChar.prime hp
nontriviality R
have := ExpChar.eq ‹_› (expChar_of_injective_algebraMap (algebraMap K R).injective p')
subst this
apply bijective_iterateFrobenius
variable (L : Type*) [Field L] [Algebra K L]
/-- If `L/K` is an algebraic extension of a finite field, the Frobenius `K`-algebra endomorphism
of `L` is an automorphism. -/
@[simps!] noncomputable def frobeniusAlgEquivOfAlgebraic [Algebra.IsAlgebraic K L] : L ≃ₐ[K] L :=
(Algebra.IsAlgebraic.algEquivEquivAlgHom K L).symm (frobeniusAlgHom K L)
theorem coe_frobeniusAlgEquivOfAlgebraic [Algebra.IsAlgebraic K L] :
⇑(frobeniusAlgEquivOfAlgebraic K L) = (· ^ q) := rfl
variable [Finite L]
open Polynomial in
theorem orderOf_frobeniusAlgHom : orderOf (frobeniusAlgHom K L) = Module.finrank K L :=
(orderOf_eq_iff Module.finrank_pos).mpr <| by
have := Fintype.ofFinite L
refine ⟨DFunLike.ext _ _ fun x ↦ ?_, fun m lt pos eq ↦ ?_⟩
· simp_rw [AlgHom.coe_pow, coe_frobeniusAlgHom, pow_iterate, AlgHom.one_apply,
← Module.card_eq_pow_finrank, pow_card]
have := card_le_degree_of_subset_roots (R := L) (p := X ^ q ^ m - X) (Z := univ) fun x _ ↦ by
simp_rw [mem_roots', IsRoot, eval_sub, eval_pow, eval_X]
have := DFunLike.congr_fun eq x
rw [AlgHom.coe_pow, coe_frobeniusAlgHom, pow_iterate, AlgHom.one_apply, ← sub_eq_zero] at this
refine ⟨fun h ↦ ?_, this⟩
simpa [if_neg (Nat.one_lt_pow pos.ne' Fintype.one_lt_card).ne] using congr_arg (coeff · 1) h
refine this.not_lt (((natDegree_sub_le ..).trans_eq ?_).trans_lt <|
(Nat.pow_lt_pow_right Fintype.one_lt_card lt).trans_eq Module.card_eq_pow_finrank.symm)
simp [Nat.one_le_pow _ _ Fintype.card_pos]
theorem orderOf_frobeniusAlgEquivOfAlgebraic :
orderOf (frobeniusAlgEquivOfAlgebraic K L) = Module.finrank K L := by
simpa [orderOf_eq_iff Module.finrank_pos, DFunLike.ext_iff] using orderOf_frobeniusAlgHom K L
theorem bijective_frobeniusAlgHom_pow :
Function.Bijective fun n : Fin (Module.finrank K L) ↦ frobeniusAlgHom K L ^ n.1 :=
let e := (finCongr <| orderOf_frobeniusAlgHom K L).symm.trans <|
finEquivPowers (orderOf_pos_iff.mp <| orderOf_frobeniusAlgHom K L ▸ Module.finrank_pos)
(Subtype.val_injective.comp e.injective).bijective_of_nat_card_le
((card_algHom_le_finrank K L L).trans_eq <| by simp)
theorem bijective_frobeniusAlgEquivOfAlgebraic_pow :
Function.Bijective fun n : Fin (Module.finrank K L) ↦ frobeniusAlgEquivOfAlgebraic K L ^ n.1 :=
((Algebra.IsAlgebraic.algEquivEquivAlgHom K L).bijective.of_comp_iff' _).mp <| by
simpa only [Function.comp_def, map_pow] using bijective_frobeniusAlgHom_pow K L
instance (K L) [Finite L] [Field K] [Field L] [Algebra K L] : IsCyclic (L ≃ₐ[K] L) where
exists_zpow_surjective :=
have := Finite.of_injective _ (algebraMap K L).injective
have := Fintype.ofFinite K
⟨frobeniusAlgEquivOfAlgebraic K L,
fun f ↦ have ⟨n, hn⟩ := (bijective_frobeniusAlgEquivOfAlgebraic_pow K L).2 f; ⟨n, hn⟩⟩
end frobenius
open Polynomial
section
variable [Fintype K] (K' : Type*) [Field K'] {p n : ℕ}
theorem X_pow_card_sub_X_natDegree_eq (hp : 1 < p) : (X ^ p - X : K'[X]).natDegree = p := by
have h1 : (X : K'[X]).degree < (X ^ p : K'[X]).degree := by
rw [degree_X_pow, degree_X]
exact mod_cast hp
rw [natDegree_eq_of_degree_eq (degree_sub_eq_left_of_degree_lt h1), natDegree_X_pow]
theorem X_pow_card_pow_sub_X_natDegree_eq (hn : n ≠ 0) (hp : 1 < p) :
(X ^ p ^ n - X : K'[X]).natDegree = p ^ n :=
X_pow_card_sub_X_natDegree_eq K' <| Nat.one_lt_pow hn hp
theorem X_pow_card_sub_X_ne_zero (hp : 1 < p) : (X ^ p - X : K'[X]) ≠ 0 :=
ne_zero_of_natDegree_gt <|
calc
1 < _ := hp
_ = _ := (X_pow_card_sub_X_natDegree_eq K' hp).symm
theorem X_pow_card_pow_sub_X_ne_zero (hn : n ≠ 0) (hp : 1 < p) : (X ^ p ^ n - X : K'[X]) ≠ 0 :=
X_pow_card_sub_X_ne_zero K' <| Nat.one_lt_pow hn hp
end
theorem roots_X_pow_card_sub_X : roots (X ^ q - X : K[X]) = Finset.univ.val := by
classical
have aux : (X ^ q - X : K[X]) ≠ 0 := X_pow_card_sub_X_ne_zero K Fintype.one_lt_card
have : (roots (X ^ q - X : K[X])).toFinset = Finset.univ := by
rw [eq_univ_iff_forall]
intro x
rw [Multiset.mem_toFinset, mem_roots aux, IsRoot.def, eval_sub, eval_pow, eval_X,
sub_eq_zero, pow_card]
rw [← this, Multiset.toFinset_val, eq_comm, Multiset.dedup_eq_self]
apply nodup_roots
rw [separable_def]
convert isCoprime_one_right.neg_right (R := K[X]) using 1
rw [derivative_sub, derivative_X, derivative_X_pow, Nat.cast_card_eq_zero K, C_0,
zero_mul, zero_sub]
variable {K}
theorem frobenius_pow {p : ℕ} [Fact p.Prime] [CharP K p] {n : ℕ} (hcard : q = p ^ n) :
frobenius K p ^ n = 1 := by
ext x; conv_rhs => rw [RingHom.one_def, RingHom.id_apply, ← pow_card x, hcard]
clear hcard
induction n with
| zero => simp
| succ n hn =>
rw [pow_succ', pow_succ, pow_mul, RingHom.mul_def, RingHom.comp_apply, frobenius_def, hn]
open Polynomial
theorem expand_card (f : K[X]) : expand K q f = f ^ q := by
obtain ⟨p, hp⟩ := CharP.exists K
letI := hp
rcases FiniteField.card K p with ⟨⟨n, npos⟩, ⟨hp, hn⟩⟩
haveI : Fact p.Prime := ⟨hp⟩
dsimp at hn
rw [hn, ← map_expand_pow_char, frobenius_pow hn, RingHom.one_def, map_id]
end FiniteField
namespace ZMod
open FiniteField Polynomial
theorem sq_add_sq (p : ℕ) [hp : Fact p.Prime] (x : ZMod p) : ∃ a b : ZMod p, a ^ 2 + b ^ 2 = x := by
rcases hp.1.eq_two_or_odd with hp2 | hp_odd
· subst p
change Fin 2 at x
fin_cases x
· use 0; simp
· use 0, 1; simp
let f : (ZMod p)[X] := X ^ 2
let g : (ZMod p)[X] := X ^ 2 - C x
obtain ⟨a, b, hab⟩ : ∃ a b, f.eval a + g.eval b = 0 :=
@exists_root_sum_quadratic _ _ _ _ f g (degree_X_pow 2) (degree_X_pow_sub_C (by decide) _)
(by rw [ZMod.card, hp_odd])
refine ⟨a, b, ?_⟩
rw [← sub_eq_zero]
simpa only [f, g, eval_C, eval_X, eval_pow, eval_sub, ← add_sub_assoc] using hab
end ZMod
/-- If `p` is a prime natural number and `x` is an integer number, then there exist natural numbers
`a ≤ p / 2` and `b ≤ p / 2` such that `a ^ 2 + b ^ 2 ≡ x [ZMOD p]`. This is a version of
`ZMod.sq_add_sq` with estimates on `a` and `b`. -/
theorem Nat.sq_add_sq_zmodEq (p : ℕ) [Fact p.Prime] (x : ℤ) :
∃ a b : ℕ, a ≤ p / 2 ∧ b ≤ p / 2 ∧ (a : ℤ) ^ 2 + (b : ℤ) ^ 2 ≡ x [ZMOD p] := by
rcases ZMod.sq_add_sq p x with ⟨a, b, hx⟩
refine ⟨a.valMinAbs.natAbs, b.valMinAbs.natAbs, ZMod.natAbs_valMinAbs_le _,
ZMod.natAbs_valMinAbs_le _, ?_⟩
rw [← a.coe_valMinAbs, ← b.coe_valMinAbs] at hx
push_cast
rw [sq_abs, sq_abs, ← ZMod.intCast_eq_intCast_iff]
exact mod_cast hx
|
/-- If `p` is a prime natural number and `x` is a natural number, then there exist natural numbers
| Mathlib/FieldTheory/Finite/Basic.lean | 501 | 502 |
/-
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.Multiset.Dedup
/-!
# The fold operation for a commutative associative operation over a multiset.
-/
namespace Multiset
variable {α β : Type*}
/-! ### fold -/
section Fold
variable (op : α → α → α) [hc : Std.Commutative op] [ha : Std.Associative op]
local notation a " * " b => op a b
/-- `fold op b s` folds a commutative associative operation `op` over
the multiset `s`. -/
def fold : α → Multiset α → α :=
foldr op
theorem fold_eq_foldr (b : α) (s : Multiset α) :
fold op b s = foldr op b s :=
rfl
@[simp]
theorem coe_fold_r (b : α) (l : List α) : fold op b l = l.foldr op b :=
rfl
theorem coe_fold_l (b : α) (l : List α) : fold op b l = l.foldl op b :=
(coe_foldr_swap op b l).trans <| by simp [hc.comm]
theorem fold_eq_foldl (b : α) (s : Multiset α) :
fold op b s = foldl op b s :=
Quot.inductionOn s fun _ => coe_fold_l _ _ _
@[simp]
theorem fold_zero (b : α) : (0 : Multiset α).fold op b = b :=
rfl
@[simp]
theorem fold_cons_left : ∀ (b a : α) (s : Multiset α), (a ::ₘ s).fold op b = a * s.fold op b :=
foldr_cons _
theorem fold_cons_right (b a : α) (s : Multiset α) : (a ::ₘ s).fold op b = s.fold op b * a := by
simp [hc.comm]
theorem fold_cons'_right (b a : α) (s : Multiset α) : (a ::ₘ s).fold op b = s.fold op (b * a) := by
rw [fold_eq_foldl, foldl_cons, ← fold_eq_foldl]
theorem fold_cons'_left (b a : α) (s : Multiset α) : (a ::ₘ s).fold op b = s.fold op (a * b) := by
rw [fold_cons'_right, hc.comm]
theorem fold_add (b₁ b₂ : α) (s₁ s₂ : Multiset α) :
(s₁ + s₂).fold op (b₁ * b₂) = s₁.fold op b₁ * s₂.fold op b₂ :=
Multiset.induction_on s₂
(by rw [Multiset.add_zero, fold_zero, ← fold_cons'_right, ← fold_cons_right op])
(fun a b h => by rw [fold_cons_left, add_cons, fold_cons_left, h, ← ha.assoc, hc.comm a,
| ha.assoc])
| Mathlib/Data/Multiset/Fold.lean | 67 | 68 |
/-
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, Patrick Massot, Yury Kudryashov, Rémy Degenne
-/
import Mathlib.Data.Set.Subsingleton
import Mathlib.Order.Interval.Set.Defs
/-!
# Intervals
In any preorder, we define intervals (which on each side can be either infinite, open or closed)
using the following naming conventions:
- `i`: infinite
- `o`: open
- `c`: closed
Each interval has the name `I` + letter for left side + letter for right side.
For instance, `Ioc a b` denotes the interval `(a, b]`.
The definitions can be found in `Mathlib.Order.Interval.Set.Defs`.
This file contains basic facts on inclusion of and set operations on intervals
(where the precise statements depend on the order's properties;
statements requiring `LinearOrder` are in `Mathlib.Order.Interval.Set.LinearOrder`).
TODO: This is just the beginning; a lot of rules are missing
-/
assert_not_exists RelIso
open Function
open OrderDual (toDual ofDual)
variable {α : Type*}
namespace Set
section Preorder
variable [Preorder α] {a a₁ a₂ b b₁ b₂ c x : α}
instance decidableMemIoo [Decidable (a < x ∧ x < b)] : Decidable (x ∈ Ioo a b) := by assumption
instance decidableMemIco [Decidable (a ≤ x ∧ x < b)] : Decidable (x ∈ Ico a b) := by assumption
instance decidableMemIio [Decidable (x < b)] : Decidable (x ∈ Iio b) := by assumption
instance decidableMemIcc [Decidable (a ≤ x ∧ x ≤ b)] : Decidable (x ∈ Icc a b) := by assumption
instance decidableMemIic [Decidable (x ≤ b)] : Decidable (x ∈ Iic b) := by assumption
instance decidableMemIoc [Decidable (a < x ∧ x ≤ b)] : Decidable (x ∈ Ioc a b) := by assumption
instance decidableMemIci [Decidable (a ≤ x)] : Decidable (x ∈ Ici a) := by assumption
instance decidableMemIoi [Decidable (a < x)] : Decidable (x ∈ Ioi a) := by assumption
theorem left_mem_Ioo : a ∈ Ioo a b ↔ False := by simp [lt_irrefl]
theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp [le_refl]
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp [le_refl]
theorem left_mem_Ioc : a ∈ Ioc a b ↔ False := by simp [lt_irrefl]
theorem left_mem_Ici : a ∈ Ici a := by simp
theorem right_mem_Ioo : b ∈ Ioo a b ↔ False := by simp [lt_irrefl]
theorem right_mem_Ico : b ∈ Ico a b ↔ False := by simp [lt_irrefl]
theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp [le_refl]
theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by simp [le_refl]
theorem right_mem_Iic : a ∈ Iic a := by simp
@[simp]
theorem Ici_toDual : Ici (toDual a) = ofDual ⁻¹' Iic a :=
rfl
@[deprecated (since := "2025-03-20")]
alias dual_Ici := Ici_toDual
@[simp]
theorem Iic_toDual : Iic (toDual a) = ofDual ⁻¹' Ici a :=
rfl
@[deprecated (since := "2025-03-20")]
alias dual_Iic := Iic_toDual
@[simp]
theorem Ioi_toDual : Ioi (toDual a) = ofDual ⁻¹' Iio a :=
rfl
@[deprecated (since := "2025-03-20")]
alias dual_Ioi := Ioi_toDual
@[simp]
theorem Iio_toDual : Iio (toDual a) = ofDual ⁻¹' Ioi a :=
rfl
@[deprecated (since := "2025-03-20")]
alias dual_Iio := Iio_toDual
@[simp]
theorem Icc_toDual : Icc (toDual a) (toDual b) = ofDual ⁻¹' Icc b a :=
Set.ext fun _ => and_comm
@[deprecated (since := "2025-03-20")]
alias dual_Icc := Icc_toDual
@[simp]
theorem Ioc_toDual : Ioc (toDual a) (toDual b) = ofDual ⁻¹' Ico b a :=
Set.ext fun _ => and_comm
@[deprecated (since := "2025-03-20")]
alias dual_Ioc := Ioc_toDual
@[simp]
theorem Ico_toDual : Ico (toDual a) (toDual b) = ofDual ⁻¹' Ioc b a :=
Set.ext fun _ => and_comm
@[deprecated (since := "2025-03-20")]
alias dual_Ico := Ico_toDual
@[simp]
theorem Ioo_toDual : Ioo (toDual a) (toDual b) = ofDual ⁻¹' Ioo b a :=
Set.ext fun _ => and_comm
@[deprecated (since := "2025-03-20")]
alias dual_Ioo := Ioo_toDual
@[simp]
theorem Ici_ofDual {x : αᵒᵈ} : Ici (ofDual x) = toDual ⁻¹' Iic x :=
rfl
@[simp]
theorem Iic_ofDual {x : αᵒᵈ} : Iic (ofDual x) = toDual ⁻¹' Ici x :=
rfl
@[simp]
theorem Ioi_ofDual {x : αᵒᵈ} : Ioi (ofDual x) = toDual ⁻¹' Iio x :=
rfl
@[simp]
theorem Iio_ofDual {x : αᵒᵈ} : Iio (ofDual x) = toDual ⁻¹' Ioi x :=
rfl
@[simp]
theorem Icc_ofDual {x y : αᵒᵈ} : Icc (ofDual y) (ofDual x) = toDual ⁻¹' Icc x y :=
Set.ext fun _ => and_comm
@[simp]
theorem Ico_ofDual {x y : αᵒᵈ} : Ico (ofDual y) (ofDual x) = toDual ⁻¹' Ioc x y :=
Set.ext fun _ => and_comm
@[simp]
theorem Ioc_ofDual {x y : αᵒᵈ} : Ioc (ofDual y) (ofDual x) = toDual ⁻¹' Ico x y :=
Set.ext fun _ => and_comm
@[simp]
theorem Ioo_ofDual {x y : αᵒᵈ} : Ioo (ofDual y) (ofDual x) = toDual ⁻¹' Ioo x y :=
Set.ext fun _ => and_comm
@[simp]
theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b :=
⟨fun ⟨_, hx⟩ => hx.1.trans hx.2, fun h => ⟨a, left_mem_Icc.2 h⟩⟩
@[simp]
theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b :=
⟨fun ⟨_, hx⟩ => hx.1.trans_lt hx.2, fun h => ⟨a, left_mem_Ico.2 h⟩⟩
@[simp]
theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b :=
⟨fun ⟨_, hx⟩ => hx.1.trans_le hx.2, fun h => ⟨b, right_mem_Ioc.2 h⟩⟩
@[simp]
theorem nonempty_Ici : (Ici a).Nonempty :=
⟨a, left_mem_Ici⟩
@[simp]
theorem nonempty_Iic : (Iic a).Nonempty :=
⟨a, right_mem_Iic⟩
@[simp]
theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b :=
⟨fun ⟨_, ha, hb⟩ => ha.trans hb, exists_between⟩
@[simp]
theorem nonempty_Ioi [NoMaxOrder α] : (Ioi a).Nonempty :=
exists_gt a
@[simp]
theorem nonempty_Iio [NoMinOrder α] : (Iio a).Nonempty :=
exists_lt a
theorem nonempty_Icc_subtype (h : a ≤ b) : Nonempty (Icc a b) :=
Nonempty.to_subtype (nonempty_Icc.mpr h)
theorem nonempty_Ico_subtype (h : a < b) : Nonempty (Ico a b) :=
Nonempty.to_subtype (nonempty_Ico.mpr h)
theorem nonempty_Ioc_subtype (h : a < b) : Nonempty (Ioc a b) :=
Nonempty.to_subtype (nonempty_Ioc.mpr h)
/-- An interval `Ici a` is nonempty. -/
instance nonempty_Ici_subtype : Nonempty (Ici a) :=
Nonempty.to_subtype nonempty_Ici
/-- An interval `Iic a` is nonempty. -/
instance nonempty_Iic_subtype : Nonempty (Iic a) :=
Nonempty.to_subtype nonempty_Iic
theorem nonempty_Ioo_subtype [DenselyOrdered α] (h : a < b) : Nonempty (Ioo a b) :=
Nonempty.to_subtype (nonempty_Ioo.mpr h)
/-- In an order without maximal elements, the intervals `Ioi` are nonempty. -/
instance nonempty_Ioi_subtype [NoMaxOrder α] : Nonempty (Ioi a) :=
Nonempty.to_subtype nonempty_Ioi
/-- In an order without minimal elements, the intervals `Iio` are nonempty. -/
instance nonempty_Iio_subtype [NoMinOrder α] : Nonempty (Iio a) :=
Nonempty.to_subtype nonempty_Iio
instance [NoMinOrder α] : NoMinOrder (Iio a) :=
⟨fun a =>
let ⟨b, hb⟩ := exists_lt (a : α)
⟨⟨b, lt_trans hb a.2⟩, hb⟩⟩
instance [NoMinOrder α] : NoMinOrder (Iic a) :=
⟨fun a =>
let ⟨b, hb⟩ := exists_lt (a : α)
⟨⟨b, hb.le.trans a.2⟩, hb⟩⟩
instance [NoMaxOrder α] : NoMaxOrder (Ioi a) :=
OrderDual.noMaxOrder (α := Iio (toDual a))
instance [NoMaxOrder α] : NoMaxOrder (Ici a) :=
OrderDual.noMaxOrder (α := Iic (toDual a))
@[simp]
theorem Icc_eq_empty (h : ¬a ≤ b) : Icc a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ ⟨ha, hb⟩ => h (ha.trans hb)
@[simp]
theorem Ico_eq_empty (h : ¬a < b) : Ico a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ ⟨ha, hb⟩ => h (ha.trans_lt hb)
@[simp]
theorem Ioc_eq_empty (h : ¬a < b) : Ioc a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ ⟨ha, hb⟩ => h (ha.trans_le hb)
@[simp]
theorem Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ ⟨ha, hb⟩ => h (ha.trans hb)
@[simp]
theorem Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ :=
Icc_eq_empty h.not_le
@[simp]
theorem Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ :=
Ico_eq_empty h.not_lt
@[simp]
theorem Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ :=
Ioc_eq_empty h.not_lt
@[simp]
theorem Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ :=
Ioo_eq_empty h.not_lt
theorem Ico_self (a : α) : Ico a a = ∅ :=
Ico_eq_empty <| lt_irrefl _
theorem Ioc_self (a : α) : Ioc a a = ∅ :=
Ioc_eq_empty <| lt_irrefl _
theorem Ioo_self (a : α) : Ioo a a = ∅ :=
Ioo_eq_empty <| lt_irrefl _
@[simp]
theorem Ici_subset_Ici : Ici a ⊆ Ici b ↔ b ≤ a :=
⟨fun h => h <| left_mem_Ici, fun h _ hx => h.trans hx⟩
@[gcongr] alias ⟨_, _root_.GCongr.Ici_subset_Ici_of_le⟩ := Ici_subset_Ici
@[simp]
theorem Ici_ssubset_Ici : Ici a ⊂ Ici b ↔ b < a where
mp h := by
obtain ⟨ab, c, cb, ac⟩ := ssubset_iff_exists.mp h
exact lt_of_le_not_le (Ici_subset_Ici.mp ab) (fun h' ↦ ac (h'.trans cb))
mpr h := (ssubset_iff_of_subset (Ici_subset_Ici.mpr h.le)).mpr
⟨b, right_mem_Iic, fun h' => h.not_le h'⟩
@[gcongr] alias ⟨_, _root_.GCongr.Ici_ssubset_Ici_of_le⟩ := Ici_ssubset_Ici
@[simp]
theorem Iic_subset_Iic : Iic a ⊆ Iic b ↔ a ≤ b :=
@Ici_subset_Ici αᵒᵈ _ _ _
@[gcongr] alias ⟨_, _root_.GCongr.Iic_subset_Iic_of_le⟩ := Iic_subset_Iic
@[simp]
theorem Iic_ssubset_Iic : Iic a ⊂ Iic b ↔ a < b :=
@Ici_ssubset_Ici αᵒᵈ _ _ _
@[gcongr] alias ⟨_, _root_.GCongr.Iic_ssubset_Iic_of_le⟩ := Iic_ssubset_Iic
@[simp]
theorem Ici_subset_Ioi : Ici a ⊆ Ioi b ↔ b < a :=
⟨fun h => h left_mem_Ici, fun h _ hx => h.trans_le hx⟩
@[simp]
theorem Iic_subset_Iio : Iic a ⊆ Iio b ↔ a < b :=
⟨fun h => h right_mem_Iic, fun h _ hx => lt_of_le_of_lt hx h⟩
@[gcongr]
theorem Ioo_subset_Ioo (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) : Ioo a₁ b₁ ⊆ Ioo a₂ b₂ := fun _ ⟨hx₁, hx₂⟩ =>
⟨h₁.trans_lt hx₁, hx₂.trans_le h₂⟩
@[gcongr]
theorem Ioo_subset_Ioo_left (h : a₁ ≤ a₂) : Ioo a₂ b ⊆ Ioo a₁ b :=
Ioo_subset_Ioo h le_rfl
@[gcongr]
theorem Ioo_subset_Ioo_right (h : b₁ ≤ b₂) : Ioo a b₁ ⊆ Ioo a b₂ :=
Ioo_subset_Ioo le_rfl h
@[gcongr]
theorem Ico_subset_Ico (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) : Ico a₁ b₁ ⊆ Ico a₂ b₂ := fun _ ⟨hx₁, hx₂⟩ =>
⟨h₁.trans hx₁, hx₂.trans_le h₂⟩
@[gcongr]
theorem Ico_subset_Ico_left (h : a₁ ≤ a₂) : Ico a₂ b ⊆ Ico a₁ b :=
Ico_subset_Ico h le_rfl
@[gcongr]
theorem Ico_subset_Ico_right (h : b₁ ≤ b₂) : Ico a b₁ ⊆ Ico a b₂ :=
Ico_subset_Ico le_rfl h
@[gcongr]
theorem Icc_subset_Icc (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) : Icc a₁ b₁ ⊆ Icc a₂ b₂ := fun _ ⟨hx₁, hx₂⟩ =>
⟨h₁.trans hx₁, le_trans hx₂ h₂⟩
@[gcongr]
theorem Icc_subset_Icc_left (h : a₁ ≤ a₂) : Icc a₂ b ⊆ Icc a₁ b :=
Icc_subset_Icc h le_rfl
@[gcongr]
theorem Icc_subset_Icc_right (h : b₁ ≤ b₂) : Icc a b₁ ⊆ Icc a b₂ :=
Icc_subset_Icc le_rfl h
theorem Icc_subset_Ioo (ha : a₂ < a₁) (hb : b₁ < b₂) : Icc a₁ b₁ ⊆ Ioo a₂ b₂ := fun _ hx =>
⟨ha.trans_le hx.1, hx.2.trans_lt hb⟩
theorem Icc_subset_Ici_self : Icc a b ⊆ Ici a := fun _ => And.left
theorem Icc_subset_Iic_self : Icc a b ⊆ Iic b := fun _ => And.right
theorem Ioc_subset_Iic_self : Ioc a b ⊆ Iic b := fun _ => And.right
@[gcongr]
theorem Ioc_subset_Ioc (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) : Ioc a₁ b₁ ⊆ Ioc a₂ b₂ := fun _ ⟨hx₁, hx₂⟩ =>
⟨h₁.trans_lt hx₁, hx₂.trans h₂⟩
@[gcongr]
theorem Ioc_subset_Ioc_left (h : a₁ ≤ a₂) : Ioc a₂ b ⊆ Ioc a₁ b :=
Ioc_subset_Ioc h le_rfl
@[gcongr]
theorem Ioc_subset_Ioc_right (h : b₁ ≤ b₂) : Ioc a b₁ ⊆ Ioc a b₂ :=
Ioc_subset_Ioc le_rfl h
theorem Ico_subset_Ioo_left (h₁ : a₁ < a₂) : Ico a₂ b ⊆ Ioo a₁ b := fun _ =>
And.imp_left h₁.trans_le
theorem Ioc_subset_Ioo_right (h : b₁ < b₂) : Ioc a b₁ ⊆ Ioo a b₂ := fun _ =>
And.imp_right fun h' => h'.trans_lt h
theorem Icc_subset_Ico_right (h₁ : b₁ < b₂) : Icc a b₁ ⊆ Ico a b₂ := fun _ =>
And.imp_right fun h₂ => h₂.trans_lt h₁
theorem Ioo_subset_Ico_self : Ioo a b ⊆ Ico a b := fun _ => And.imp_left le_of_lt
theorem Ioo_subset_Ioc_self : Ioo a b ⊆ Ioc a b := fun _ => And.imp_right le_of_lt
theorem Ico_subset_Icc_self : Ico a b ⊆ Icc a b := fun _ => And.imp_right le_of_lt
theorem Ioc_subset_Icc_self : Ioc a b ⊆ Icc a b := fun _ => And.imp_left le_of_lt
theorem Ioo_subset_Icc_self : Ioo a b ⊆ Icc a b :=
Subset.trans Ioo_subset_Ico_self Ico_subset_Icc_self
theorem Ico_subset_Iio_self : Ico a b ⊆ Iio b := fun _ => And.right
theorem Ioo_subset_Iio_self : Ioo a b ⊆ Iio b := fun _ => And.right
theorem Ioc_subset_Ioi_self : Ioc a b ⊆ Ioi a := fun _ => And.left
theorem Ioo_subset_Ioi_self : Ioo a b ⊆ Ioi a := fun _ => And.left
theorem Ioi_subset_Ici_self : Ioi a ⊆ Ici a := fun _ hx => le_of_lt hx
theorem Iio_subset_Iic_self : Iio a ⊆ Iic a := fun _ hx => le_of_lt hx
theorem Ico_subset_Ici_self : Ico a b ⊆ Ici a := fun _ => And.left
theorem Ioi_ssubset_Ici_self : Ioi a ⊂ Ici a :=
⟨Ioi_subset_Ici_self, fun h => lt_irrefl a (h le_rfl)⟩
theorem Iio_ssubset_Iic_self : Iio a ⊂ Iic a :=
@Ioi_ssubset_Ici_self αᵒᵈ _ _
theorem Icc_subset_Icc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Icc a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ :=
⟨fun h => ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩, fun ⟨h, h'⟩ _ ⟨hx, hx'⟩ =>
⟨h.trans hx, hx'.trans h'⟩⟩
theorem Icc_subset_Ioo_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioo a₂ b₂ ↔ a₂ < a₁ ∧ b₁ < b₂ :=
⟨fun h => ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩, fun ⟨h, h'⟩ _ ⟨hx, hx'⟩ =>
⟨h.trans_le hx, hx'.trans_lt h'⟩⟩
theorem Icc_subset_Ico_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ico a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ < b₂ :=
⟨fun h => ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩, fun ⟨h, h'⟩ _ ⟨hx, hx'⟩ =>
⟨h.trans hx, hx'.trans_lt h'⟩⟩
theorem Icc_subset_Ioc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioc a₂ b₂ ↔ a₂ < a₁ ∧ b₁ ≤ b₂ :=
⟨fun h => ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩, fun ⟨h, h'⟩ _ ⟨hx, hx'⟩ =>
⟨h.trans_le hx, hx'.trans h'⟩⟩
theorem Icc_subset_Iio_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Iio b₂ ↔ b₁ < b₂ :=
⟨fun h => h ⟨h₁, le_rfl⟩, fun h _ ⟨_, hx'⟩ => hx'.trans_lt h⟩
theorem Icc_subset_Ioi_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioi a₂ ↔ a₂ < a₁ :=
⟨fun h => h ⟨le_rfl, h₁⟩, fun h _ ⟨hx, _⟩ => h.trans_le hx⟩
theorem Icc_subset_Iic_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Iic b₂ ↔ b₁ ≤ b₂ :=
⟨fun h => h ⟨h₁, le_rfl⟩, fun h _ ⟨_, hx'⟩ => hx'.trans h⟩
theorem Icc_subset_Ici_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ici a₂ ↔ a₂ ≤ a₁ :=
⟨fun h => h ⟨le_rfl, h₁⟩, fun h _ ⟨hx, _⟩ => h.trans hx⟩
theorem Icc_ssubset_Icc_left (hI : a₂ ≤ b₂) (ha : a₂ < a₁) (hb : b₁ ≤ b₂) : Icc a₁ b₁ ⊂ Icc a₂ b₂ :=
(ssubset_iff_of_subset (Icc_subset_Icc (le_of_lt ha) hb)).mpr
⟨a₂, left_mem_Icc.mpr hI, not_and.mpr fun f _ => lt_irrefl a₂ (ha.trans_le f)⟩
theorem Icc_ssubset_Icc_right (hI : a₂ ≤ b₂) (ha : a₂ ≤ a₁) (hb : b₁ < b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ :=
(ssubset_iff_of_subset (Icc_subset_Icc ha (le_of_lt hb))).mpr
⟨b₂, right_mem_Icc.mpr hI, fun f => lt_irrefl b₁ (hb.trans_le f.2)⟩
/-- If `a ≤ b`, then `(b, +∞) ⊆ (a, +∞)`. In preorders, this is just an implication. If you need
the equivalence in linear orders, use `Ioi_subset_Ioi_iff`. -/
@[gcongr]
theorem Ioi_subset_Ioi (h : a ≤ b) : Ioi b ⊆ Ioi a := fun _ hx => h.trans_lt hx
/-- If `a < b`, then `(b, +∞) ⊂ (a, +∞)`. In preorders, this is just an implication. If you need
the equivalence in linear orders, use `Ioi_ssubset_Ioi_iff`. -/
@[gcongr]
theorem Ioi_ssubset_Ioi (h : a < b) : Ioi b ⊂ Ioi a :=
(ssubset_iff_of_subset (Ioi_subset_Ioi h.le)).mpr ⟨b, h, lt_irrefl b⟩
/-- If `a ≤ b`, then `(b, +∞) ⊆ [a, +∞)`. In preorders, this is just an implication. If you need
the equivalence in dense linear orders, use `Ioi_subset_Ici_iff`. -/
theorem Ioi_subset_Ici (h : a ≤ b) : Ioi b ⊆ Ici a :=
Subset.trans (Ioi_subset_Ioi h) Ioi_subset_Ici_self
/-- If `a ≤ b`, then `(-∞, a) ⊆ (-∞, b)`. In preorders, this is just an implication. If you need
the equivalence in linear orders, use `Iio_subset_Iio_iff`. -/
@[gcongr]
theorem Iio_subset_Iio (h : a ≤ b) : Iio a ⊆ Iio b := fun _ hx => lt_of_lt_of_le hx h
/-- If `a < b`, then `(-∞, a) ⊂ (-∞, b)`. In preorders, this is just an implication. If you need
the equivalence in linear orders, use `Iio_ssubset_Iio_iff`. -/
@[gcongr]
theorem Iio_ssubset_Iio (h : a < b) : Iio a ⊂ Iio b :=
(ssubset_iff_of_subset (Iio_subset_Iio h.le)).mpr ⟨a, h, lt_irrefl a⟩
/-- If `a ≤ b`, then `(-∞, a) ⊆ (-∞, b]`. In preorders, this is just an implication. If you need
the equivalence in dense linear orders, use `Iio_subset_Iic_iff`. -/
theorem Iio_subset_Iic (h : a ≤ b) : Iio a ⊆ Iic b :=
Subset.trans (Iio_subset_Iio h) Iio_subset_Iic_self
theorem Ici_inter_Iic : Ici a ∩ Iic b = Icc a b :=
rfl
theorem Ici_inter_Iio : Ici a ∩ Iio b = Ico a b :=
rfl
theorem Ioi_inter_Iic : Ioi a ∩ Iic b = Ioc a b :=
rfl
theorem Ioi_inter_Iio : Ioi a ∩ Iio b = Ioo a b :=
rfl
theorem Iic_inter_Ici : Iic a ∩ Ici b = Icc b a :=
inter_comm _ _
theorem Iio_inter_Ici : Iio a ∩ Ici b = Ico b a :=
inter_comm _ _
theorem Iic_inter_Ioi : Iic a ∩ Ioi b = Ioc b a :=
inter_comm _ _
theorem Iio_inter_Ioi : Iio a ∩ Ioi b = Ioo b a :=
inter_comm _ _
theorem mem_Icc_of_Ioo (h : x ∈ Ioo a b) : x ∈ Icc a b :=
Ioo_subset_Icc_self h
theorem mem_Ico_of_Ioo (h : x ∈ Ioo a b) : x ∈ Ico a b :=
Ioo_subset_Ico_self h
theorem mem_Ioc_of_Ioo (h : x ∈ Ioo a b) : x ∈ Ioc a b :=
Ioo_subset_Ioc_self h
theorem mem_Icc_of_Ico (h : x ∈ Ico a b) : x ∈ Icc a b :=
Ico_subset_Icc_self h
theorem mem_Icc_of_Ioc (h : x ∈ Ioc a b) : x ∈ Icc a b :=
Ioc_subset_Icc_self h
theorem mem_Ici_of_Ioi (h : x ∈ Ioi a) : x ∈ Ici a :=
Ioi_subset_Ici_self h
theorem mem_Iic_of_Iio (h : x ∈ Iio a) : x ∈ Iic a :=
Iio_subset_Iic_self h
theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by
rw [← not_nonempty_iff_eq_empty, not_iff_not, nonempty_Icc]
theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by
rw [← not_nonempty_iff_eq_empty, not_iff_not, nonempty_Ico]
theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by
rw [← not_nonempty_iff_eq_empty, not_iff_not, nonempty_Ioc]
theorem Ioo_eq_empty_iff [DenselyOrdered α] : Ioo a b = ∅ ↔ ¬a < b := by
rw [← not_nonempty_iff_eq_empty, not_iff_not, nonempty_Ioo]
theorem _root_.IsTop.Iic_eq (h : IsTop a) : Iic a = univ :=
eq_univ_of_forall h
theorem _root_.IsBot.Ici_eq (h : IsBot a) : Ici a = univ :=
eq_univ_of_forall h
@[simp] theorem Ioi_eq_empty_iff : Ioi a = ∅ ↔ IsMax a := by
simp only [isMax_iff_forall_not_lt, eq_empty_iff_forall_not_mem, mem_Ioi]
@[simp] theorem Iio_eq_empty_iff : Iio a = ∅ ↔ IsMin a := Ioi_eq_empty_iff (α := αᵒᵈ)
@[simp] alias ⟨_, _root_.IsMax.Ioi_eq⟩ := Ioi_eq_empty_iff
@[simp] alias ⟨_, _root_.IsMin.Iio_eq⟩ := Iio_eq_empty_iff
@[simp] lemma Iio_nonempty : (Iio a).Nonempty ↔ ¬ IsMin a := by simp [nonempty_iff_ne_empty]
@[simp] lemma Ioi_nonempty : (Ioi a).Nonempty ↔ ¬ IsMax a := by simp [nonempty_iff_ne_empty]
theorem Iic_inter_Ioc_of_le (h : a ≤ c) : Iic a ∩ Ioc b c = Ioc b a :=
ext fun _ => ⟨fun H => ⟨H.2.1, H.1⟩, fun H => ⟨H.2, H.1, H.2.trans h⟩⟩
theorem not_mem_Icc_of_lt (ha : c < a) : c ∉ Icc a b := fun h => ha.not_le h.1
theorem not_mem_Icc_of_gt (hb : b < c) : c ∉ Icc a b := fun h => hb.not_le h.2
theorem not_mem_Ico_of_lt (ha : c < a) : c ∉ Ico a b := fun h => ha.not_le h.1
theorem not_mem_Ioc_of_gt (hb : b < c) : c ∉ Ioc a b := fun h => hb.not_le h.2
theorem not_mem_Ioi_self : a ∉ Ioi a := lt_irrefl _
theorem not_mem_Iio_self : b ∉ Iio b := lt_irrefl _
theorem not_mem_Ioc_of_le (ha : c ≤ a) : c ∉ Ioc a b := fun h => lt_irrefl _ <| h.1.trans_le ha
theorem not_mem_Ico_of_ge (hb : b ≤ c) : c ∉ Ico a b := fun h => lt_irrefl _ <| h.2.trans_le hb
theorem not_mem_Ioo_of_le (ha : c ≤ a) : c ∉ Ioo a b := fun h => lt_irrefl _ <| h.1.trans_le ha
theorem not_mem_Ioo_of_ge (hb : b ≤ c) : c ∉ Ioo a b := fun h => lt_irrefl _ <| h.2.trans_le hb
section matched_intervals
@[simp] theorem Icc_eq_Ioc_same_iff : Icc a b = Ioc a b ↔ ¬a ≤ b where
mp h := by simpa using Set.ext_iff.mp h a
mpr h := by rw [Icc_eq_empty h, Ioc_eq_empty (mt le_of_lt h)]
@[simp] theorem Icc_eq_Ico_same_iff : Icc a b = Ico a b ↔ ¬a ≤ b where
mp h := by simpa using Set.ext_iff.mp h b
mpr h := by rw [Icc_eq_empty h, Ico_eq_empty (mt le_of_lt h)]
@[simp] theorem Icc_eq_Ioo_same_iff : Icc a b = Ioo a b ↔ ¬a ≤ b where
mp h := by simpa using Set.ext_iff.mp h b
mpr h := by rw [Icc_eq_empty h, Ioo_eq_empty (mt le_of_lt h)]
@[simp] theorem Ioc_eq_Ico_same_iff : Ioc a b = Ico a b ↔ ¬a < b where
mp h := by simpa using Set.ext_iff.mp h a
mpr h := by rw [Ioc_eq_empty h, Ico_eq_empty h]
@[simp] theorem Ioo_eq_Ioc_same_iff : Ioo a b = Ioc a b ↔ ¬a < b where
mp h := by simpa using Set.ext_iff.mp h b
mpr h := by rw [Ioo_eq_empty h, Ioc_eq_empty h]
@[simp] theorem Ioo_eq_Ico_same_iff : Ioo a b = Ico a b ↔ ¬a < b where
mp h := by simpa using Set.ext_iff.mp h a
mpr h := by rw [Ioo_eq_empty h, Ico_eq_empty h]
-- Mirrored versions of the above for `simp`.
@[simp] theorem Ioc_eq_Icc_same_iff : Ioc a b = Icc a b ↔ ¬a ≤ b :=
eq_comm.trans Icc_eq_Ioc_same_iff
@[simp] theorem Ico_eq_Icc_same_iff : Ico a b = Icc a b ↔ ¬a ≤ b :=
eq_comm.trans Icc_eq_Ico_same_iff
@[simp] theorem Ioo_eq_Icc_same_iff : Ioo a b = Icc a b ↔ ¬a ≤ b :=
eq_comm.trans Icc_eq_Ioo_same_iff
@[simp] theorem Ico_eq_Ioc_same_iff : Ico a b = Ioc a b ↔ ¬a < b :=
eq_comm.trans Ioc_eq_Ico_same_iff
@[simp] theorem Ioc_eq_Ioo_same_iff : Ioc a b = Ioo a b ↔ ¬a < b :=
eq_comm.trans Ioo_eq_Ioc_same_iff
@[simp] theorem Ico_eq_Ioo_same_iff : Ico a b = Ioo a b ↔ ¬a < b :=
eq_comm.trans Ioo_eq_Ico_same_iff
end matched_intervals
end Preorder
section PartialOrder
variable [PartialOrder α] {a b c : α}
@[simp]
theorem Icc_self (a : α) : Icc a a = {a} :=
Set.ext <| by simp [Icc, le_antisymm_iff, and_comm]
instance instIccUnique : Unique (Set.Icc a a) where
default := ⟨a, by simp⟩
uniq y := Subtype.ext <| by simpa using y.2
@[simp]
theorem Icc_eq_singleton_iff : Icc a b = {c} ↔ a = c ∧ b = c := by
refine ⟨fun h => ?_, ?_⟩
· have hab : a ≤ b := nonempty_Icc.1 (h.symm.subst <| singleton_nonempty c)
exact
⟨eq_of_mem_singleton <| h ▸ left_mem_Icc.2 hab,
eq_of_mem_singleton <| h ▸ right_mem_Icc.2 hab⟩
· rintro ⟨rfl, rfl⟩
exact Icc_self _
lemma subsingleton_Icc_of_ge (hba : b ≤ a) : Set.Subsingleton (Icc a b) :=
fun _x ⟨hax, hxb⟩ _y ⟨hay, hyb⟩ ↦ le_antisymm
(le_implies_le_of_le_of_le hxb hay hba) (le_implies_le_of_le_of_le hyb hax hba)
@[simp] lemma subsingleton_Icc_iff {α : Type*} [LinearOrder α] {a b : α} :
Set.Subsingleton (Icc a b) ↔ b ≤ a := by
refine ⟨fun h ↦ ?_, subsingleton_Icc_of_ge⟩
contrapose! h
simp only [gt_iff_lt, not_subsingleton_iff]
exact ⟨a, ⟨le_refl _, h.le⟩, b, ⟨h.le, le_refl _⟩, h.ne⟩
@[simp]
theorem Icc_diff_left : Icc a b \ {a} = Ioc a b :=
ext fun x => by simp [lt_iff_le_and_ne, eq_comm, and_right_comm]
@[simp]
theorem Icc_diff_right : Icc a b \ {b} = Ico a b :=
ext fun x => by simp [lt_iff_le_and_ne, and_assoc]
@[simp]
theorem Ico_diff_left : Ico a b \ {a} = Ioo a b :=
ext fun x => by simp [and_right_comm, ← lt_iff_le_and_ne, eq_comm]
@[simp]
theorem Ioc_diff_right : Ioc a b \ {b} = Ioo a b :=
ext fun x => by simp [and_assoc, ← lt_iff_le_and_ne]
@[simp]
theorem Icc_diff_both : Icc a b \ {a, b} = Ioo a b := by
rw [insert_eq, ← diff_diff, Icc_diff_left, Ioc_diff_right]
@[simp]
theorem Ici_diff_left : Ici a \ {a} = Ioi a :=
ext fun x => by simp [lt_iff_le_and_ne, eq_comm]
@[simp]
theorem Iic_diff_right : Iic a \ {a} = Iio a :=
ext fun x => by simp [lt_iff_le_and_ne]
@[simp]
theorem Ico_diff_Ioo_same (h : a < b) : Ico a b \ Ioo a b = {a} := by
rw [← Ico_diff_left, diff_diff_cancel_left (singleton_subset_iff.2 <| left_mem_Ico.2 h)]
@[simp]
theorem Ioc_diff_Ioo_same (h : a < b) : Ioc a b \ Ioo a b = {b} := by
rw [← Ioc_diff_right, diff_diff_cancel_left (singleton_subset_iff.2 <| right_mem_Ioc.2 h)]
@[simp]
theorem Icc_diff_Ico_same (h : a ≤ b) : Icc a b \ Ico a b = {b} := by
rw [← Icc_diff_right, diff_diff_cancel_left (singleton_subset_iff.2 <| right_mem_Icc.2 h)]
@[simp]
theorem Icc_diff_Ioc_same (h : a ≤ b) : Icc a b \ Ioc a b = {a} := by
rw [← Icc_diff_left, diff_diff_cancel_left (singleton_subset_iff.2 <| left_mem_Icc.2 h)]
@[simp]
theorem Icc_diff_Ioo_same (h : a ≤ b) : Icc a b \ Ioo a b = {a, b} := by
rw [← Icc_diff_both, diff_diff_cancel_left]
simp [insert_subset_iff, h]
@[simp]
theorem Ici_diff_Ioi_same : Ici a \ Ioi a = {a} := by
rw [← Ici_diff_left, diff_diff_cancel_left (singleton_subset_iff.2 left_mem_Ici)]
@[simp]
theorem Iic_diff_Iio_same : Iic a \ Iio a = {a} := by
rw [← Iic_diff_right, diff_diff_cancel_left (singleton_subset_iff.2 right_mem_Iic)]
theorem Ioi_union_left : Ioi a ∪ {a} = Ici a :=
ext fun x => by simp [eq_comm, le_iff_eq_or_lt]
theorem Iio_union_right : Iio a ∪ {a} = Iic a :=
ext fun _ => le_iff_lt_or_eq.symm
theorem Ioo_union_left (hab : a < b) : Ioo a b ∪ {a} = Ico a b := by
rw [← Ico_diff_left, diff_union_self,
union_eq_self_of_subset_right (singleton_subset_iff.2 <| left_mem_Ico.2 hab)]
theorem Ioo_union_right (hab : a < b) : Ioo a b ∪ {b} = Ioc a b := by
simpa only [Ioo_toDual, Ico_toDual] using Ioo_union_left hab.dual
theorem Ioo_union_both (h : a ≤ b) : Ioo a b ∪ {a, b} = Icc a b := by
have : (Icc a b \ {a, b}) ∪ {a, b} = Icc a b := diff_union_of_subset fun
| x, .inl rfl => left_mem_Icc.mpr h
| x, .inr rfl => right_mem_Icc.mpr h
rw [← this, Icc_diff_both]
theorem Ioc_union_left (hab : a ≤ b) : Ioc a b ∪ {a} = Icc a b := by
rw [← Icc_diff_left, diff_union_self,
union_eq_self_of_subset_right (singleton_subset_iff.2 <| left_mem_Icc.2 hab)]
theorem Ico_union_right (hab : a ≤ b) : Ico a b ∪ {b} = Icc a b := by
simpa only [Ioc_toDual, Icc_toDual] using Ioc_union_left hab.dual
@[simp]
theorem Ico_insert_right (h : a ≤ b) : insert b (Ico a b) = Icc a b := by
rw [insert_eq, union_comm, Ico_union_right h]
@[simp]
theorem Ioc_insert_left (h : a ≤ b) : insert a (Ioc a b) = Icc a b := by
rw [insert_eq, union_comm, Ioc_union_left h]
@[simp]
theorem Ioo_insert_left (h : a < b) : insert a (Ioo a b) = Ico a b := by
rw [insert_eq, union_comm, Ioo_union_left h]
@[simp]
theorem Ioo_insert_right (h : a < b) : insert b (Ioo a b) = Ioc a b := by
rw [insert_eq, union_comm, Ioo_union_right h]
@[simp]
theorem Iio_insert : insert a (Iio a) = Iic a :=
ext fun _ => le_iff_eq_or_lt.symm
@[simp]
theorem Ioi_insert : insert a (Ioi a) = Ici a :=
ext fun _ => (or_congr_left eq_comm).trans le_iff_eq_or_lt.symm
theorem mem_Ici_Ioi_of_subset_of_subset {s : Set α} (ho : Ioi a ⊆ s) (hc : s ⊆ Ici a) :
s ∈ ({Ici a, Ioi a} : Set (Set α)) :=
by_cases
(fun h : a ∈ s =>
Or.inl <| Subset.antisymm hc <| by rw [← Ioi_union_left, union_subset_iff]; simp [*])
fun h =>
Or.inr <| Subset.antisymm (fun _ hx => lt_of_le_of_ne (hc hx) fun heq => h <| heq.symm ▸ hx) ho
theorem mem_Iic_Iio_of_subset_of_subset {s : Set α} (ho : Iio a ⊆ s) (hc : s ⊆ Iic a) :
s ∈ ({Iic a, Iio a} : Set (Set α)) :=
@mem_Ici_Ioi_of_subset_of_subset αᵒᵈ _ a s ho hc
theorem mem_Icc_Ico_Ioc_Ioo_of_subset_of_subset {s : Set α} (ho : Ioo a b ⊆ s) (hc : s ⊆ Icc a b) :
s ∈ ({Icc a b, Ico a b, Ioc a b, Ioo a b} : Set (Set α)) := by
classical
by_cases ha : a ∈ s <;> by_cases hb : b ∈ s
· refine Or.inl (Subset.antisymm hc ?_)
rwa [← Ico_diff_left, diff_singleton_subset_iff, insert_eq_of_mem ha, ← Icc_diff_right,
diff_singleton_subset_iff, insert_eq_of_mem hb] at ho
· refine Or.inr <| Or.inl <| Subset.antisymm ?_ ?_
· rw [← Icc_diff_right]
exact subset_diff_singleton hc hb
· rwa [← Ico_diff_left, diff_singleton_subset_iff, insert_eq_of_mem ha] at ho
· refine Or.inr <| Or.inr <| Or.inl <| Subset.antisymm ?_ ?_
· rw [← Icc_diff_left]
exact subset_diff_singleton hc ha
· rwa [← Ioc_diff_right, diff_singleton_subset_iff, insert_eq_of_mem hb] at ho
· refine Or.inr <| Or.inr <| Or.inr <| Subset.antisymm ?_ ho
rw [← Ico_diff_left, ← Icc_diff_right]
apply_rules [subset_diff_singleton]
theorem eq_left_or_mem_Ioo_of_mem_Ico {x : α} (hmem : x ∈ Ico a b) : x = a ∨ x ∈ Ioo a b :=
hmem.1.eq_or_gt.imp_right fun h => ⟨h, hmem.2⟩
theorem eq_right_or_mem_Ioo_of_mem_Ioc {x : α} (hmem : x ∈ Ioc a b) : x = b ∨ x ∈ Ioo a b :=
hmem.2.eq_or_lt.imp_right <| And.intro hmem.1
theorem eq_endpoints_or_mem_Ioo_of_mem_Icc {x : α} (hmem : x ∈ Icc a b) :
x = a ∨ x = b ∨ x ∈ Ioo a b :=
hmem.1.eq_or_gt.imp_right fun h => eq_right_or_mem_Ioo_of_mem_Ioc ⟨h, hmem.2⟩
theorem _root_.IsMax.Ici_eq (h : IsMax a) : Ici a = {a} :=
eq_singleton_iff_unique_mem.2 ⟨left_mem_Ici, fun _ => h.eq_of_ge⟩
theorem _root_.IsMin.Iic_eq (h : IsMin a) : Iic a = {a} :=
h.toDual.Ici_eq
theorem Ici_injective : Injective (Ici : α → Set α) := fun _ _ =>
eq_of_forall_ge_iff ∘ Set.ext_iff.1
theorem Iic_injective : Injective (Iic : α → Set α) := fun _ _ =>
eq_of_forall_le_iff ∘ Set.ext_iff.1
theorem Ici_inj : Ici a = Ici b ↔ a = b :=
Ici_injective.eq_iff
theorem Iic_inj : Iic a = Iic b ↔ a = b :=
Iic_injective.eq_iff
@[simp]
theorem Icc_inter_Icc_eq_singleton (hab : a ≤ b) (hbc : b ≤ c) : Icc a b ∩ Icc b c = {b} := by
rw [← Ici_inter_Iic, ← Iic_inter_Ici, inter_inter_inter_comm, Iic_inter_Ici]
simp [hab, hbc]
lemma Icc_eq_Icc_iff {d : α} (h : a ≤ b) :
Icc a b = Icc c d ↔ a = c ∧ b = d := by
refine ⟨fun heq ↦ ?_, by rintro ⟨rfl, rfl⟩; rfl⟩
have h' : c ≤ d := by
by_contra contra; rw [Icc_eq_empty_iff.mpr contra, Icc_eq_empty_iff] at heq; contradiction
simp only [Set.ext_iff, mem_Icc] at heq
obtain ⟨-, h₁⟩ := (heq b).mp ⟨h, le_refl _⟩
obtain ⟨h₂, -⟩ := (heq a).mp ⟨le_refl _, h⟩
obtain ⟨h₃, -⟩ := (heq c).mpr ⟨le_refl _, h'⟩
obtain ⟨-, h₄⟩ := (heq d).mpr ⟨h', le_refl _⟩
exact ⟨le_antisymm h₃ h₂, le_antisymm h₁ h₄⟩
end PartialOrder
section OrderTop
@[simp]
theorem Ici_top [PartialOrder α] [OrderTop α] : Ici (⊤ : α) = {⊤} :=
isMax_top.Ici_eq
variable [Preorder α] [OrderTop α] {a : α}
theorem Ioi_top : Ioi (⊤ : α) = ∅ :=
isMax_top.Ioi_eq
@[simp]
theorem Iic_top : Iic (⊤ : α) = univ :=
isTop_top.Iic_eq
@[simp]
theorem Icc_top : Icc a ⊤ = Ici a := by simp [← Ici_inter_Iic]
@[simp]
theorem Ioc_top : Ioc a ⊤ = Ioi a := by simp [← Ioi_inter_Iic]
end OrderTop
section OrderBot
@[simp]
theorem Iic_bot [PartialOrder α] [OrderBot α] : Iic (⊥ : α) = {⊥} :=
isMin_bot.Iic_eq
variable [Preorder α] [OrderBot α] {a : α}
theorem Iio_bot : Iio (⊥ : α) = ∅ :=
isMin_bot.Iio_eq
@[simp]
theorem Ici_bot : Ici (⊥ : α) = univ :=
isBot_bot.Ici_eq
@[simp]
theorem Icc_bot : Icc ⊥ a = Iic a := by simp [← Ici_inter_Iic]
@[simp]
theorem Ico_bot : Ico ⊥ a = Iio a := by simp [← Ici_inter_Iio]
end OrderBot
theorem Icc_bot_top [Preorder α] [BoundedOrder α] : Icc (⊥ : α) ⊤ = univ := by simp
section Lattice
section Inf
variable [SemilatticeInf α]
@[simp]
theorem Iic_inter_Iic {a b : α} : Iic a ∩ Iic b = Iic (a ⊓ b) := by
ext x
simp [Iic]
@[simp]
theorem Ioc_inter_Iic (a b c : α) : Ioc a b ∩ Iic c = Ioc a (b ⊓ c) := by
rw [← Ioi_inter_Iic, ← Ioi_inter_Iic, inter_assoc, Iic_inter_Iic]
end Inf
section Sup
variable [SemilatticeSup α]
@[simp]
theorem Ici_inter_Ici {a b : α} : Ici a ∩ Ici b = Ici (a ⊔ b) := by
ext x
simp [Ici]
@[simp]
theorem Ico_inter_Ici (a b c : α) : Ico a b ∩ Ici c = Ico (a ⊔ c) b := by
rw [← Ici_inter_Iio, ← Ici_inter_Iio, ← Ici_inter_Ici, inter_right_comm]
end Sup
section Both
variable [Lattice α] {a b c a₁ a₂ b₁ b₂ : α}
theorem Icc_inter_Icc : Icc a₁ b₁ ∩ Icc a₂ b₂ = Icc (a₁ ⊔ a₂) (b₁ ⊓ b₂) := by
simp only [Ici_inter_Iic.symm, Ici_inter_Ici.symm, Iic_inter_Iic.symm]; ac_rfl
end Both
end Lattice
/-! ### Closed intervals in `α × β` -/
section Prod
variable {β : Type*} [Preorder α] [Preorder β]
@[simp]
theorem Iic_prod_Iic (a : α) (b : β) : Iic a ×ˢ Iic b = Iic (a, b) :=
rfl
@[simp]
theorem Ici_prod_Ici (a : α) (b : β) : Ici a ×ˢ Ici b = Ici (a, b) :=
rfl
theorem Ici_prod_eq (a : α × β) : Ici a = Ici a.1 ×ˢ Ici a.2 :=
rfl
theorem Iic_prod_eq (a : α × β) : Iic a = Iic a.1 ×ˢ Iic a.2 :=
rfl
@[simp]
theorem Icc_prod_Icc (a₁ a₂ : α) (b₁ b₂ : β) : Icc a₁ a₂ ×ˢ Icc b₁ b₂ = Icc (a₁, b₁) (a₂, b₂) := by
ext ⟨x, y⟩
simp [and_assoc, and_comm, and_left_comm]
theorem Icc_prod_eq (a b : α × β) : Icc a b = Icc a.1 b.1 ×ˢ Icc a.2 b.2 := by simp
end Prod
end Set
/-! ### Lemmas about intervals in dense orders -/
section Dense
variable (α) [Preorder α] [DenselyOrdered α] {x y : α}
instance : NoMinOrder (Set.Ioo x y) :=
⟨fun ⟨a, ha₁, ha₂⟩ => by
rcases exists_between ha₁ with ⟨b, hb₁, hb₂⟩
exact ⟨⟨b, hb₁, hb₂.trans ha₂⟩, hb₂⟩⟩
instance : NoMinOrder (Set.Ioc x y) :=
⟨fun ⟨a, ha₁, ha₂⟩ => by
rcases exists_between ha₁ with ⟨b, hb₁, hb₂⟩
exact ⟨⟨b, hb₁, hb₂.le.trans ha₂⟩, hb₂⟩⟩
instance : NoMinOrder (Set.Ioi x) :=
⟨fun ⟨a, ha⟩ => by
rcases exists_between ha with ⟨b, hb₁, hb₂⟩
exact ⟨⟨b, hb₁⟩, hb₂⟩⟩
instance : NoMaxOrder (Set.Ioo x y) :=
⟨fun ⟨a, ha₁, ha₂⟩ => by
rcases exists_between ha₂ with ⟨b, hb₁, hb₂⟩
exact ⟨⟨b, ha₁.trans hb₁, hb₂⟩, hb₁⟩⟩
instance : NoMaxOrder (Set.Ico x y) :=
⟨fun ⟨a, ha₁, ha₂⟩ => by
rcases exists_between ha₂ with ⟨b, hb₁, hb₂⟩
exact ⟨⟨b, ha₁.trans hb₁.le, hb₂⟩, hb₁⟩⟩
instance : NoMaxOrder (Set.Iio x) :=
⟨fun ⟨a, ha⟩ => by
rcases exists_between ha with ⟨b, hb₁, hb₂⟩
exact ⟨⟨b, hb₂⟩, hb₁⟩⟩
end Dense
/-! ### Intervals in `Prop` -/
namespace Set
@[simp] lemma Iic_False : Iic False = {False} := by aesop
@[simp] lemma Iic_True : Iic True = univ := by aesop
@[simp] lemma Ici_False : Ici False = univ := by aesop
@[simp] lemma Ici_True : Ici True = {True} := by aesop
lemma Iio_False : Iio False = ∅ := by aesop
@[simp] lemma Iio_True : Iio True = {False} := by aesop (add simp [Ioi, lt_iff_le_not_le])
@[simp] lemma Ioi_False : Ioi False = {True} := by aesop (add simp [Ioi, lt_iff_le_not_le])
lemma Ioi_True : Ioi True = ∅ := by aesop
end Set
| Mathlib/Order/Interval/Set/Basic.lean | 1,435 | 1,438 | |
/-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Yury Kudryashov
-/
import Mathlib.Logic.Function.Basic
import Mathlib.Tactic.MkIffOfInductiveProp
/-!
# Additional lemmas about sum types
Most of the former contents of this file have been moved to Batteries.
-/
universe u v w x
variable {α : Type u} {α' : Type w} {β : Type v} {β' : Type x} {γ δ : Type*}
lemma not_isLeft_and_isRight {x : α ⊕ β} : ¬(x.isLeft ∧ x.isRight) := by simp
namespace Sum
-- Lean has removed the `@[simp]` attribute on these. For now Mathlib adds it back.
attribute [simp] Sum.forall Sum.exists
| theorem exists_sum {γ : α ⊕ β → Sort*} (p : (∀ ab, γ ab) → Prop) :
(∃ fab, p fab) ↔ (∃ fa fb, p (Sum.rec fa fb)) := by
rw [← not_forall_not, forall_sum]
simp
| Mathlib/Data/Sum/Basic.lean | 27 | 30 |
/-
Copyright (c) 2022 Markus Himmel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel
-/
import Mathlib.CategoryTheory.EpiMono
import Mathlib.CategoryTheory.Limits.Shapes.StrongEpi
import Mathlib.CategoryTheory.LiftingProperties.Adjunction
/-!
# Preservation and reflection of monomorphisms and epimorphisms
We provide typeclasses that state that a functor preserves or reflects monomorphisms or
epimorphisms.
-/
open CategoryTheory
universe v₁ v₂ v₃ u₁ u₂ u₃
namespace CategoryTheory.Functor
variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] {E : Type u₃}
[Category.{v₃} E]
/-- A functor preserves monomorphisms if it maps monomorphisms to monomorphisms. -/
class PreservesMonomorphisms (F : C ⥤ D) : Prop where
/-- A functor preserves monomorphisms if it maps monomorphisms to monomorphisms. -/
preserves : ∀ {X Y : C} (f : X ⟶ Y) [Mono f], Mono (F.map f)
instance map_mono (F : C ⥤ D) [PreservesMonomorphisms F] {X Y : C} (f : X ⟶ Y) [Mono f] :
Mono (F.map f) :=
PreservesMonomorphisms.preserves f
/-- A functor preserves epimorphisms if it maps epimorphisms to epimorphisms. -/
class PreservesEpimorphisms (F : C ⥤ D) : Prop where
/-- A functor preserves epimorphisms if it maps epimorphisms to epimorphisms. -/
preserves : ∀ {X Y : C} (f : X ⟶ Y) [Epi f], Epi (F.map f)
instance map_epi (F : C ⥤ D) [PreservesEpimorphisms F] {X Y : C} (f : X ⟶ Y) [Epi f] :
Epi (F.map f) :=
PreservesEpimorphisms.preserves f
/-- A functor reflects monomorphisms if morphisms that are mapped to monomorphisms are themselves
monomorphisms. -/
class ReflectsMonomorphisms (F : C ⥤ D) : Prop where
/-- A functor reflects monomorphisms if morphisms that are mapped to monomorphisms are themselves
monomorphisms. -/
reflects : ∀ {X Y : C} (f : X ⟶ Y), Mono (F.map f) → Mono f
theorem mono_of_mono_map (F : C ⥤ D) [ReflectsMonomorphisms F] {X Y : C} {f : X ⟶ Y}
(h : Mono (F.map f)) : Mono f :=
ReflectsMonomorphisms.reflects f h
/-- A functor reflects epimorphisms if morphisms that are mapped to epimorphisms are themselves
epimorphisms. -/
class ReflectsEpimorphisms (F : C ⥤ D) : Prop where
/-- A functor reflects epimorphisms if morphisms that are mapped to epimorphisms are themselves
epimorphisms. -/
reflects : ∀ {X Y : C} (f : X ⟶ Y), Epi (F.map f) → Epi f
theorem epi_of_epi_map (F : C ⥤ D) [ReflectsEpimorphisms F] {X Y : C} {f : X ⟶ Y}
(h : Epi (F.map f)) : Epi f :=
ReflectsEpimorphisms.reflects f h
instance preservesMonomorphisms_comp (F : C ⥤ D) (G : D ⥤ E) [PreservesMonomorphisms F]
[PreservesMonomorphisms G] : PreservesMonomorphisms (F ⋙ G) where
preserves f h := by
rw [comp_map]
exact inferInstance
instance preservesEpimorphisms_comp (F : C ⥤ D) (G : D ⥤ E) [PreservesEpimorphisms F]
[PreservesEpimorphisms G] : PreservesEpimorphisms (F ⋙ G) where
preserves f h := by
rw [comp_map]
exact inferInstance
instance reflectsMonomorphisms_comp (F : C ⥤ D) (G : D ⥤ E) [ReflectsMonomorphisms F]
[ReflectsMonomorphisms G] : ReflectsMonomorphisms (F ⋙ G) where
reflects _ h := F.mono_of_mono_map (G.mono_of_mono_map h)
instance reflectsEpimorphisms_comp (F : C ⥤ D) (G : D ⥤ E) [ReflectsEpimorphisms F]
[ReflectsEpimorphisms G] : ReflectsEpimorphisms (F ⋙ G) where
reflects _ h := F.epi_of_epi_map (G.epi_of_epi_map h)
theorem preservesEpimorphisms_of_preserves_of_reflects (F : C ⥤ D) (G : D ⥤ E)
[PreservesEpimorphisms (F ⋙ G)] [ReflectsEpimorphisms G] : PreservesEpimorphisms F :=
⟨fun f _ => G.epi_of_epi_map <| show Epi ((F ⋙ G).map f) from inferInstance⟩
theorem preservesMonomorphisms_of_preserves_of_reflects (F : C ⥤ D) (G : D ⥤ E)
[PreservesMonomorphisms (F ⋙ G)] [ReflectsMonomorphisms G] : PreservesMonomorphisms F :=
⟨fun f _ => G.mono_of_mono_map <| show Mono ((F ⋙ G).map f) from inferInstance⟩
theorem reflectsEpimorphisms_of_preserves_of_reflects (F : C ⥤ D) (G : D ⥤ E)
[PreservesEpimorphisms G] [ReflectsEpimorphisms (F ⋙ G)] : ReflectsEpimorphisms F :=
⟨fun f _ => (F ⋙ G).epi_of_epi_map <| show Epi (G.map (F.map f)) from inferInstance⟩
theorem reflectsMonomorphisms_of_preserves_of_reflects (F : C ⥤ D) (G : D ⥤ E)
[PreservesMonomorphisms G] [ReflectsMonomorphisms (F ⋙ G)] : ReflectsMonomorphisms F :=
⟨fun f _ => (F ⋙ G).mono_of_mono_map <| show Mono (G.map (F.map f)) from inferInstance⟩
theorem preservesMonomorphisms.of_iso {F G : C ⥤ D} [PreservesMonomorphisms F] (α : F ≅ G) :
PreservesMonomorphisms G :=
{ preserves := fun {X} {Y} f h => by
suffices G.map f = (α.app X).inv ≫ F.map f ≫ (α.app Y).hom from this ▸ mono_comp _ _
rw [Iso.eq_inv_comp, Iso.app_hom, Iso.app_hom, NatTrans.naturality] }
theorem preservesMonomorphisms.iso_iff {F G : C ⥤ D} (α : F ≅ G) :
PreservesMonomorphisms F ↔ PreservesMonomorphisms G :=
⟨fun _ => preservesMonomorphisms.of_iso α, fun _ => preservesMonomorphisms.of_iso α.symm⟩
theorem preservesEpimorphisms.of_iso {F G : C ⥤ D} [PreservesEpimorphisms F] (α : F ≅ G) :
PreservesEpimorphisms G :=
{ preserves := fun {X} {Y} f h => by
suffices G.map f = (α.app X).inv ≫ F.map f ≫ (α.app Y).hom from this ▸ epi_comp _ _
rw [Iso.eq_inv_comp, Iso.app_hom, Iso.app_hom, NatTrans.naturality] }
theorem preservesEpimorphisms.iso_iff {F G : C ⥤ D} (α : F ≅ G) :
PreservesEpimorphisms F ↔ PreservesEpimorphisms G :=
⟨fun _ => preservesEpimorphisms.of_iso α, fun _ => preservesEpimorphisms.of_iso α.symm⟩
theorem reflectsMonomorphisms.of_iso {F G : C ⥤ D} [ReflectsMonomorphisms F] (α : F ≅ G) :
ReflectsMonomorphisms G :=
{ reflects := fun {X} {Y} f h => by
apply F.mono_of_mono_map
suffices F.map f = (α.app X).hom ≫ G.map f ≫ (α.app Y).inv from this ▸ mono_comp _ _
rw [← Category.assoc, Iso.eq_comp_inv, Iso.app_hom, Iso.app_hom, NatTrans.naturality] }
theorem reflectsMonomorphisms.iso_iff {F G : C ⥤ D} (α : F ≅ G) :
ReflectsMonomorphisms F ↔ ReflectsMonomorphisms G :=
⟨fun _ => reflectsMonomorphisms.of_iso α, fun _ => reflectsMonomorphisms.of_iso α.symm⟩
theorem reflectsEpimorphisms.of_iso {F G : C ⥤ D} [ReflectsEpimorphisms F] (α : F ≅ G) :
ReflectsEpimorphisms G :=
{ reflects := fun {X} {Y} f h => by
apply F.epi_of_epi_map
suffices F.map f = (α.app X).hom ≫ G.map f ≫ (α.app Y).inv from this ▸ epi_comp _ _
rw [← Category.assoc, Iso.eq_comp_inv, Iso.app_hom, Iso.app_hom, NatTrans.naturality] }
theorem reflectsEpimorphisms.iso_iff {F G : C ⥤ D} (α : F ≅ G) :
ReflectsEpimorphisms F ↔ ReflectsEpimorphisms G :=
⟨fun _ => reflectsEpimorphisms.of_iso α, fun _ => reflectsEpimorphisms.of_iso α.symm⟩
theorem preservesEpimorphsisms_of_adjunction {F : C ⥤ D} {G : D ⥤ C} (adj : F ⊣ G) :
PreservesEpimorphisms F :=
{ preserves := fun {X} {Y} f hf =>
⟨by
intro Z g h H
replace H := congr_arg (adj.homEquiv X Z) H
rwa [adj.homEquiv_naturality_left, adj.homEquiv_naturality_left, cancel_epi,
Equiv.apply_eq_iff_eq] at H⟩ }
instance (priority := 100) preservesEpimorphisms_of_isLeftAdjoint (F : C ⥤ D) [IsLeftAdjoint F] :
PreservesEpimorphisms F :=
preservesEpimorphsisms_of_adjunction (Adjunction.ofIsLeftAdjoint F)
theorem preservesMonomorphisms_of_adjunction {F : C ⥤ D} {G : D ⥤ C} (adj : F ⊣ G) :
PreservesMonomorphisms G :=
{ preserves := fun {X} {Y} f hf =>
⟨by
intro Z g h H
replace H := congr_arg (adj.homEquiv Z Y).symm H
rwa [adj.homEquiv_naturality_right_symm, adj.homEquiv_naturality_right_symm, cancel_mono,
Equiv.apply_eq_iff_eq] at H⟩ }
instance (priority := 100) preservesMonomorphisms_of_isRightAdjoint (F : C ⥤ D) [IsRightAdjoint F] :
PreservesMonomorphisms F :=
preservesMonomorphisms_of_adjunction (Adjunction.ofIsRightAdjoint F)
instance (priority := 100) reflectsMonomorphisms_of_faithful (F : C ⥤ D) [Faithful F] :
ReflectsMonomorphisms F where
reflects {X} {Y} f _ :=
⟨fun {Z} g h hgh =>
F.map_injective ((cancel_mono (F.map f)).1 (by rw [← F.map_comp, hgh, F.map_comp]))⟩
instance (priority := 100) reflectsEpimorphisms_of_faithful (F : C ⥤ D) [Faithful F] :
ReflectsEpimorphisms F where
reflects {X} {Y} f _ :=
⟨fun {Z} g h hgh =>
F.map_injective ((cancel_epi (F.map f)).1 (by rw [← F.map_comp, hgh, F.map_comp]))⟩
section
variable (F : C ⥤ D) {X Y : C} (f : X ⟶ Y)
/-- If `F` is a fully faithful functor, split epimorphisms are preserved and reflected by `F`. -/
noncomputable def splitEpiEquiv [Full F] [Faithful F] : SplitEpi f ≃ SplitEpi (F.map f) where
toFun f := f.map F
invFun s := ⟨F.preimage s.section_, by
apply F.map_injective
simp only [map_comp, map_preimage, map_id]
apply SplitEpi.id⟩
left_inv := by aesop_cat
right_inv x := by aesop_cat
@[simp]
theorem isSplitEpi_iff [Full F] [Faithful F] : IsSplitEpi (F.map f) ↔ IsSplitEpi f := by
constructor
· intro h
exact IsSplitEpi.mk' ((splitEpiEquiv F f).invFun h.exists_splitEpi.some)
· intro h
exact IsSplitEpi.mk' ((splitEpiEquiv F f).toFun h.exists_splitEpi.some)
/-- If `F` is a fully faithful functor, split monomorphisms are preserved and reflected by `F`. -/
noncomputable def splitMonoEquiv [Full F] [Faithful F] : SplitMono f ≃ SplitMono (F.map f) where
toFun f := f.map F
invFun s := ⟨F.preimage s.retraction, by
apply F.map_injective
simp only [map_comp, map_preimage, map_id]
apply SplitMono.id⟩
left_inv := by aesop_cat
right_inv x := by aesop_cat
@[simp]
theorem isSplitMono_iff [Full F] [Faithful F] : IsSplitMono (F.map f) ↔ IsSplitMono f := by
constructor
· intro h
exact IsSplitMono.mk' ((splitMonoEquiv F f).invFun h.exists_splitMono.some)
· intro h
exact IsSplitMono.mk' ((splitMonoEquiv F f).toFun h.exists_splitMono.some)
@[simp]
theorem epi_map_iff_epi [hF₁ : PreservesEpimorphisms F] [hF₂ : ReflectsEpimorphisms F] :
Epi (F.map f) ↔ Epi f := by
constructor
· exact F.epi_of_epi_map
· intro h
exact F.map_epi f
@[simp]
theorem mono_map_iff_mono [hF₁ : PreservesMonomorphisms F] [hF₂ : ReflectsMonomorphisms F] :
Mono (F.map f) ↔ Mono f := by
constructor
· exact F.mono_of_mono_map
· intro h
exact F.map_mono f
/-- If `F : C ⥤ D` is an equivalence of categories and `C` is a `split_epi_category`,
then `D` also is. -/
theorem splitEpiCategoryImpOfIsEquivalence [IsEquivalence F] [SplitEpiCategory C] :
SplitEpiCategory D :=
⟨fun {X} {Y} f => by
intro
rw [← F.inv.isSplitEpi_iff f]
apply isSplitEpi_of_epi⟩
end
end CategoryTheory.Functor
namespace CategoryTheory.Adjunction
variable {C D : Type*} [Category C] [Category D] {F : C ⥤ D} {F' : D ⥤ C} {A B : C}
theorem strongEpi_map_of_strongEpi (adj : F ⊣ F') (f : A ⟶ B) [F'.PreservesMonomorphisms]
[F.PreservesEpimorphisms] [StrongEpi f] : StrongEpi (F.map f) :=
⟨inferInstance, fun X Y Z => by
intro
rw [adj.hasLiftingProperty_iff]
infer_instance⟩
instance strongEpi_map_of_isEquivalence [F.IsEquivalence] (f : A ⟶ B) [_h : StrongEpi f] :
StrongEpi (F.map f) :=
F.asEquivalence.toAdjunction.strongEpi_map_of_strongEpi f
instance (adj : F ⊣ F') {X : C} {Y : D} (f : F.obj X ⟶ Y) [hf : Mono f] [F.ReflectsMonomorphisms] :
Mono (adj.homEquiv _ _ f) :=
F.mono_of_mono_map <| by
rw [← (homEquiv adj X Y).symm_apply_apply f] at hf
exact mono_of_mono_fac (adj.homEquiv_counit _ _ _).symm
end CategoryTheory.Adjunction
namespace CategoryTheory.Functor
variable {C D : Type*} [Category C] [Category D] {F : C ⥤ D} {A B : C} (f : A ⟶ B)
@[simp]
theorem strongEpi_map_iff_strongEpi_of_isEquivalence [IsEquivalence F] :
StrongEpi (F.map f) ↔ StrongEpi f := by
constructor
| · intro
have e : Arrow.mk f ≅ Arrow.mk (F.inv.map (F.map f)) :=
Arrow.isoOfNatIso F.asEquivalence.unitIso (Arrow.mk f)
rw [StrongEpi.iff_of_arrow_iso e]
infer_instance
· intro
| Mathlib/CategoryTheory/Functor/EpiMono.lean | 283 | 288 |
/-
Copyright (c) 2022 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker
-/
import Mathlib.Topology.UniformSpace.UniformConvergenceTopology
/-!
# Equicontinuity of a family of functions
Let `X` be a topological space and `α` a `UniformSpace`. A family of functions `F : ι → X → α`
is said to be *equicontinuous at a point `x₀ : X`* when, for any entourage `U` in `α`, there is a
neighborhood `V` of `x₀` such that, for all `x ∈ V`, and *for all `i`*, `F i x` is `U`-close to
`F i x₀`. In other words, one has `∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝 x₀, ∀ i, (F i x₀, F i x) ∈ U`.
For maps between metric spaces, this corresponds to
`∀ ε > 0, ∃ δ > 0, ∀ x, ∀ i, dist x₀ x < δ → dist (F i x₀) (F i x) < ε`.
`F` is said to be *equicontinuous* if it is equicontinuous at each point.
A closely related concept is that of ***uniform*** *equicontinuity* of a family of functions
`F : ι → β → α` between uniform spaces, which means that, for any entourage `U` in `α`, there is an
entourage `V` in `β` such that, if `x` and `y` are `V`-close, then *for all `i`*, `F i x` and
`F i y` are `U`-close. In other words, one has
`∀ U ∈ 𝓤 α, ∀ᶠ xy in 𝓤 β, ∀ i, (F i xy.1, F i xy.2) ∈ U`.
For maps between metric spaces, this corresponds to
`∀ ε > 0, ∃ δ > 0, ∀ x y, ∀ i, dist x y < δ → dist (F i x₀) (F i x) < ε`.
## Main definitions
* `EquicontinuousAt`: equicontinuity of a family of functions at a point
* `Equicontinuous`: equicontinuity of a family of functions on the whole domain
* `UniformEquicontinuous`: uniform equicontinuity of a family of functions on the whole domain
We also introduce relative versions, namely `EquicontinuousWithinAt`, `EquicontinuousOn` and
`UniformEquicontinuousOn`, akin to `ContinuousWithinAt`, `ContinuousOn` and `UniformContinuousOn`
respectively.
## Main statements
* `equicontinuous_iff_continuous`: equicontinuity can be expressed as a simple continuity
condition between well-chosen function spaces. This is really useful for building up the theory.
* `Equicontinuous.closure`: if a set of functions is equicontinuous, its closure
*for the topology of pointwise convergence* is also equicontinuous.
## Notations
Throughout this file, we use :
- `ι`, `κ` for indexing types
- `X`, `Y`, `Z` for topological spaces
- `α`, `β`, `γ` for uniform spaces
## Implementation details
We choose to express equicontinuity as a properties of indexed families of functions rather
than sets of functions for the following reasons:
- it is really easy to express equicontinuity of `H : Set (X → α)` using our setup: it is just
equicontinuity of the family `(↑) : ↥H → (X → α)`. On the other hand, going the other way around
would require working with the range of the family, which is always annoying because it
introduces useless existentials.
- in most applications, one doesn't work with bare functions but with a more specific hom type
`hom`. Equicontinuity of a set `H : Set hom` would then have to be expressed as equicontinuity
of `coe_fn '' H`, which is super annoying to work with. This is much simpler with families,
because equicontinuity of a family `𝓕 : ι → hom` would simply be expressed as equicontinuity
of `coe_fn ∘ 𝓕`, which doesn't introduce any nasty existentials.
To simplify statements, we do provide abbreviations `Set.EquicontinuousAt`, `Set.Equicontinuous`
and `Set.UniformEquicontinuous` asserting the corresponding fact about the family
`(↑) : ↥H → (X → α)` where `H : Set (X → α)`. Note however that these won't work for sets of hom
types, and in that case one should go back to the family definition rather than using `Set.image`.
## References
* [N. Bourbaki, *General Topology, Chapter X*][bourbaki1966]
## Tags
equicontinuity, uniform convergence, ascoli
-/
section
open UniformSpace Filter Set Uniformity Topology UniformConvergence Function
variable {ι κ X X' Y α α' β β' γ : Type*} [tX : TopologicalSpace X] [tY : TopologicalSpace Y]
[uα : UniformSpace α] [uβ : UniformSpace β] [uγ : UniformSpace γ]
/-- A family `F : ι → X → α` of functions from a topological space to a uniform space is
*equicontinuous at `x₀ : X`* if, for all entourages `U ∈ 𝓤 α`, there is a neighborhood `V` of `x₀`
such that, for all `x ∈ V` and for all `i : ι`, `F i x` is `U`-close to `F i x₀`. -/
def EquicontinuousAt (F : ι → X → α) (x₀ : X) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝 x₀, ∀ i, (F i x₀, F i x) ∈ U
/-- We say that a set `H : Set (X → α)` of functions is equicontinuous at a point if the family
`(↑) : ↥H → (X → α)` is equicontinuous at that point. -/
protected abbrev Set.EquicontinuousAt (H : Set <| X → α) (x₀ : X) : Prop :=
EquicontinuousAt ((↑) : H → X → α) x₀
/-- A family `F : ι → X → α` of functions from a topological space to a uniform space is
*equicontinuous at `x₀ : X` within `S : Set X`* if, for all entourages `U ∈ 𝓤 α`, there is a
neighborhood `V` of `x₀` within `S` such that, for all `x ∈ V` and for all `i : ι`, `F i x` is
`U`-close to `F i x₀`. -/
def EquicontinuousWithinAt (F : ι → X → α) (S : Set X) (x₀ : X) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝[S] x₀, ∀ i, (F i x₀, F i x) ∈ U
/-- We say that a set `H : Set (X → α)` of functions is equicontinuous at a point within a subset
if the family `(↑) : ↥H → (X → α)` is equicontinuous at that point within that same subset. -/
protected abbrev Set.EquicontinuousWithinAt (H : Set <| X → α) (S : Set X) (x₀ : X) : Prop :=
EquicontinuousWithinAt ((↑) : H → X → α) S x₀
/-- A family `F : ι → X → α` of functions from a topological space to a uniform space is
*equicontinuous* on all of `X` if it is equicontinuous at each point of `X`. -/
def Equicontinuous (F : ι → X → α) : Prop :=
∀ x₀, EquicontinuousAt F x₀
/-- We say that a set `H : Set (X → α)` of functions is equicontinuous if the family
`(↑) : ↥H → (X → α)` is equicontinuous. -/
protected abbrev Set.Equicontinuous (H : Set <| X → α) : Prop :=
Equicontinuous ((↑) : H → X → α)
/-- A family `F : ι → X → α` of functions from a topological space to a uniform space is
*equicontinuous on `S : Set X`* if it is equicontinuous *within `S`* at each point of `S`. -/
def EquicontinuousOn (F : ι → X → α) (S : Set X) : Prop :=
∀ x₀ ∈ S, EquicontinuousWithinAt F S x₀
/-- We say that a set `H : Set (X → α)` of functions is equicontinuous on a subset if the family
`(↑) : ↥H → (X → α)` is equicontinuous on that subset. -/
protected abbrev Set.EquicontinuousOn (H : Set <| X → α) (S : Set X) : Prop :=
EquicontinuousOn ((↑) : H → X → α) S
/-- A family `F : ι → β → α` of functions between uniform spaces is *uniformly equicontinuous* if,
for all entourages `U ∈ 𝓤 α`, there is an entourage `V ∈ 𝓤 β` such that, whenever `x` and `y` are
`V`-close, we have that, *for all `i : ι`*, `F i x` is `U`-close to `F i y`. -/
def UniformEquicontinuous (F : ι → β → α) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β, ∀ i, (F i xy.1, F i xy.2) ∈ U
/-- We say that a set `H : Set (X → α)` of functions is uniformly equicontinuous if the family
`(↑) : ↥H → (X → α)` is uniformly equicontinuous. -/
protected abbrev Set.UniformEquicontinuous (H : Set <| β → α) : Prop :=
UniformEquicontinuous ((↑) : H → β → α)
/-- A family `F : ι → β → α` of functions between uniform spaces is
*uniformly equicontinuous on `S : Set β`* if, for all entourages `U ∈ 𝓤 α`, there is a relative
entourage `V ∈ 𝓤 β ⊓ 𝓟 (S ×ˢ S)` such that, whenever `x` and `y` are `V`-close, we have that,
*for all `i : ι`*, `F i x` is `U`-close to `F i y`. -/
def UniformEquicontinuousOn (F : ι → β → α) (S : Set β) : Prop :=
∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β ⊓ 𝓟 (S ×ˢ S), ∀ i, (F i xy.1, F i xy.2) ∈ U
/-- We say that a set `H : Set (X → α)` of functions is uniformly equicontinuous on a subset if the
family `(↑) : ↥H → (X → α)` is uniformly equicontinuous on that subset. -/
protected abbrev Set.UniformEquicontinuousOn (H : Set <| β → α) (S : Set β) : Prop :=
UniformEquicontinuousOn ((↑) : H → β → α) S
lemma EquicontinuousAt.equicontinuousWithinAt {F : ι → X → α} {x₀ : X} (H : EquicontinuousAt F x₀)
(S : Set X) : EquicontinuousWithinAt F S x₀ :=
fun U hU ↦ (H U hU).filter_mono inf_le_left
lemma EquicontinuousWithinAt.mono {F : ι → X → α} {x₀ : X} {S T : Set X}
(H : EquicontinuousWithinAt F T x₀) (hST : S ⊆ T) : EquicontinuousWithinAt F S x₀ :=
fun U hU ↦ (H U hU).filter_mono <| nhdsWithin_mono x₀ hST
@[simp] lemma equicontinuousWithinAt_univ (F : ι → X → α) (x₀ : X) :
EquicontinuousWithinAt F univ x₀ ↔ EquicontinuousAt F x₀ := by
rw [EquicontinuousWithinAt, EquicontinuousAt, nhdsWithin_univ]
lemma equicontinuousAt_restrict_iff (F : ι → X → α) {S : Set X} (x₀ : S) :
EquicontinuousAt (S.restrict ∘ F) x₀ ↔ EquicontinuousWithinAt F S x₀ := by
simp [EquicontinuousWithinAt, EquicontinuousAt,
← eventually_nhds_subtype_iff]
lemma Equicontinuous.equicontinuousOn {F : ι → X → α} (H : Equicontinuous F)
(S : Set X) : EquicontinuousOn F S :=
fun x _ ↦ (H x).equicontinuousWithinAt S
lemma EquicontinuousOn.mono {F : ι → X → α} {S T : Set X}
(H : EquicontinuousOn F T) (hST : S ⊆ T) : EquicontinuousOn F S :=
fun x hx ↦ (H x (hST hx)).mono hST
lemma equicontinuousOn_univ (F : ι → X → α) :
EquicontinuousOn F univ ↔ Equicontinuous F := by
simp [EquicontinuousOn, Equicontinuous]
lemma equicontinuous_restrict_iff (F : ι → X → α) {S : Set X} :
Equicontinuous (S.restrict ∘ F) ↔ EquicontinuousOn F S := by
simp [Equicontinuous, EquicontinuousOn, equicontinuousAt_restrict_iff]
lemma UniformEquicontinuous.uniformEquicontinuousOn {F : ι → β → α} (H : UniformEquicontinuous F)
(S : Set β) : UniformEquicontinuousOn F S :=
fun U hU ↦ (H U hU).filter_mono inf_le_left
lemma UniformEquicontinuousOn.mono {F : ι → β → α} {S T : Set β}
(H : UniformEquicontinuousOn F T) (hST : S ⊆ T) : UniformEquicontinuousOn F S :=
fun U hU ↦ (H U hU).filter_mono <| by gcongr
lemma uniformEquicontinuousOn_univ (F : ι → β → α) :
UniformEquicontinuousOn F univ ↔ UniformEquicontinuous F := by
simp [UniformEquicontinuousOn, UniformEquicontinuous]
lemma uniformEquicontinuous_restrict_iff (F : ι → β → α) {S : Set β} :
UniformEquicontinuous (S.restrict ∘ F) ↔ UniformEquicontinuousOn F S := by
rw [UniformEquicontinuous, UniformEquicontinuousOn]
conv in _ ⊓ _ => rw [← Subtype.range_val (s := S), ← range_prodMap, ← map_comap]
rfl
/-!
### Empty index type
-/
@[simp]
lemma equicontinuousAt_empty [h : IsEmpty ι] (F : ι → X → α) (x₀ : X) :
EquicontinuousAt F x₀ :=
fun _ _ ↦ Eventually.of_forall (fun _ ↦ h.elim)
@[simp]
lemma equicontinuousWithinAt_empty [h : IsEmpty ι] (F : ι → X → α) (S : Set X) (x₀ : X) :
EquicontinuousWithinAt F S x₀ :=
fun _ _ ↦ Eventually.of_forall (fun _ ↦ h.elim)
@[simp]
lemma equicontinuous_empty [IsEmpty ι] (F : ι → X → α) :
Equicontinuous F :=
equicontinuousAt_empty F
@[simp]
lemma equicontinuousOn_empty [IsEmpty ι] (F : ι → X → α) (S : Set X) :
EquicontinuousOn F S :=
fun x₀ _ ↦ equicontinuousWithinAt_empty F S x₀
@[simp]
lemma uniformEquicontinuous_empty [h : IsEmpty ι] (F : ι → β → α) :
UniformEquicontinuous F :=
fun _ _ ↦ Eventually.of_forall (fun _ ↦ h.elim)
@[simp]
lemma uniformEquicontinuousOn_empty [h : IsEmpty ι] (F : ι → β → α) (S : Set β) :
UniformEquicontinuousOn F S :=
fun _ _ ↦ Eventually.of_forall (fun _ ↦ h.elim)
/-!
### Finite index type
-/
theorem equicontinuousAt_finite [Finite ι] {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔ ∀ i, ContinuousAt (F i) x₀ := by
simp [EquicontinuousAt, ContinuousAt, (nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff,
UniformSpace.ball, @forall_swap _ ι]
theorem equicontinuousWithinAt_finite [Finite ι] {F : ι → X → α} {S : Set X} {x₀ : X} :
EquicontinuousWithinAt F S x₀ ↔ ∀ i, ContinuousWithinAt (F i) S x₀ := by
simp [EquicontinuousWithinAt, ContinuousWithinAt,
(nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff, UniformSpace.ball,
@forall_swap _ ι]
theorem equicontinuous_finite [Finite ι] {F : ι → X → α} :
Equicontinuous F ↔ ∀ i, Continuous (F i) := by
simp only [Equicontinuous, equicontinuousAt_finite, continuous_iff_continuousAt, @forall_swap ι]
theorem equicontinuousOn_finite [Finite ι] {F : ι → X → α} {S : Set X} :
EquicontinuousOn F S ↔ ∀ i, ContinuousOn (F i) S := by
simp only [EquicontinuousOn, equicontinuousWithinAt_finite, ContinuousOn, @forall_swap ι]
theorem uniformEquicontinuous_finite [Finite ι] {F : ι → β → α} :
UniformEquicontinuous F ↔ ∀ i, UniformContinuous (F i) := by
simp only [UniformEquicontinuous, eventually_all, @forall_swap _ ι]; rfl
theorem uniformEquicontinuousOn_finite [Finite ι] {F : ι → β → α} {S : Set β} :
UniformEquicontinuousOn F S ↔ ∀ i, UniformContinuousOn (F i) S := by
simp only [UniformEquicontinuousOn, eventually_all, @forall_swap _ ι]; rfl
/-!
### Index type with a unique element
-/
theorem equicontinuousAt_unique [Unique ι] {F : ι → X → α} {x : X} :
EquicontinuousAt F x ↔ ContinuousAt (F default) x :=
equicontinuousAt_finite.trans Unique.forall_iff
theorem equicontinuousWithinAt_unique [Unique ι] {F : ι → X → α} {S : Set X} {x : X} :
EquicontinuousWithinAt F S x ↔ ContinuousWithinAt (F default) S x :=
equicontinuousWithinAt_finite.trans Unique.forall_iff
theorem equicontinuous_unique [Unique ι] {F : ι → X → α} :
Equicontinuous F ↔ Continuous (F default) :=
equicontinuous_finite.trans Unique.forall_iff
theorem equicontinuousOn_unique [Unique ι] {F : ι → X → α} {S : Set X} :
EquicontinuousOn F S ↔ ContinuousOn (F default) S :=
equicontinuousOn_finite.trans Unique.forall_iff
theorem uniformEquicontinuous_unique [Unique ι] {F : ι → β → α} :
UniformEquicontinuous F ↔ UniformContinuous (F default) :=
uniformEquicontinuous_finite.trans Unique.forall_iff
theorem uniformEquicontinuousOn_unique [Unique ι] {F : ι → β → α} {S : Set β} :
UniformEquicontinuousOn F S ↔ UniformContinuousOn (F default) S :=
uniformEquicontinuousOn_finite.trans Unique.forall_iff
/-- Reformulation of equicontinuity at `x₀` within a set `S`, comparing two variables near `x₀`
instead of comparing only one with `x₀`. -/
theorem equicontinuousWithinAt_iff_pair {F : ι → X → α} {S : Set X} {x₀ : X} (hx₀ : x₀ ∈ S) :
EquicontinuousWithinAt F S x₀ ↔
∀ U ∈ 𝓤 α, ∃ V ∈ 𝓝[S] x₀, ∀ x ∈ V, ∀ y ∈ V, ∀ i, (F i x, F i y) ∈ U := by
constructor <;> intro H U hU
· rcases comp_symm_mem_uniformity_sets hU with ⟨V, hV, hVsymm, hVU⟩
refine ⟨_, H V hV, fun x hx y hy i => hVU (prodMk_mem_compRel ?_ (hy i))⟩
exact hVsymm.mk_mem_comm.mp (hx i)
· rcases H U hU with ⟨V, hV, hVU⟩
filter_upwards [hV] using fun x hx i => hVU x₀ (mem_of_mem_nhdsWithin hx₀ hV) x hx i
/-- Reformulation of equicontinuity at `x₀` comparing two variables near `x₀` instead of comparing
only one with `x₀`. -/
theorem equicontinuousAt_iff_pair {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔
∀ U ∈ 𝓤 α, ∃ V ∈ 𝓝 x₀, ∀ x ∈ V, ∀ y ∈ V, ∀ i, (F i x, F i y) ∈ U := by
simp_rw [← equicontinuousWithinAt_univ, equicontinuousWithinAt_iff_pair (mem_univ x₀),
nhdsWithin_univ]
/-- Uniform equicontinuity implies equicontinuity. -/
theorem UniformEquicontinuous.equicontinuous {F : ι → β → α} (h : UniformEquicontinuous F) :
Equicontinuous F := fun x₀ U hU ↦
mem_of_superset (ball_mem_nhds x₀ (h U hU)) fun _ hx i ↦ hx i
/-- Uniform equicontinuity on a subset implies equicontinuity on that subset. -/
theorem UniformEquicontinuousOn.equicontinuousOn {F : ι → β → α} {S : Set β}
(h : UniformEquicontinuousOn F S) :
EquicontinuousOn F S := fun _ hx₀ U hU ↦
mem_of_superset (ball_mem_nhdsWithin hx₀ (h U hU)) fun _ hx i ↦ hx i
/-- Each function of a family equicontinuous at `x₀` is continuous at `x₀`. -/
theorem EquicontinuousAt.continuousAt {F : ι → X → α} {x₀ : X} (h : EquicontinuousAt F x₀) (i : ι) :
ContinuousAt (F i) x₀ :=
(UniformSpace.hasBasis_nhds _).tendsto_right_iff.2 fun U ⟨hU, _⟩ ↦ (h U hU).mono fun _x hx ↦ hx i
/-- Each function of a family equicontinuous at `x₀` within `S` is continuous at `x₀` within `S`. -/
theorem EquicontinuousWithinAt.continuousWithinAt {F : ι → X → α} {S : Set X} {x₀ : X}
(h : EquicontinuousWithinAt F S x₀) (i : ι) :
ContinuousWithinAt (F i) S x₀ :=
(UniformSpace.hasBasis_nhds _).tendsto_right_iff.2 fun U ⟨hU, _⟩ ↦ (h U hU).mono fun _x hx ↦ hx i
protected theorem Set.EquicontinuousAt.continuousAt_of_mem {H : Set <| X → α} {x₀ : X}
(h : H.EquicontinuousAt x₀) {f : X → α} (hf : f ∈ H) : ContinuousAt f x₀ :=
h.continuousAt ⟨f, hf⟩
protected theorem Set.EquicontinuousWithinAt.continuousWithinAt_of_mem {H : Set <| X → α}
{S : Set X} {x₀ : X} (h : H.EquicontinuousWithinAt S x₀) {f : X → α} (hf : f ∈ H) :
ContinuousWithinAt f S x₀ :=
h.continuousWithinAt ⟨f, hf⟩
/-- Each function of an equicontinuous family is continuous. -/
theorem Equicontinuous.continuous {F : ι → X → α} (h : Equicontinuous F) (i : ι) :
Continuous (F i) :=
continuous_iff_continuousAt.mpr fun x => (h x).continuousAt i
/-- Each function of a family equicontinuous on `S` is continuous on `S`. -/
theorem EquicontinuousOn.continuousOn {F : ι → X → α} {S : Set X} (h : EquicontinuousOn F S)
(i : ι) : ContinuousOn (F i) S :=
fun x hx ↦ (h x hx).continuousWithinAt i
protected theorem Set.Equicontinuous.continuous_of_mem {H : Set <| X → α} (h : H.Equicontinuous)
{f : X → α} (hf : f ∈ H) : Continuous f :=
h.continuous ⟨f, hf⟩
protected theorem Set.EquicontinuousOn.continuousOn_of_mem {H : Set <| X → α} {S : Set X}
(h : H.EquicontinuousOn S) {f : X → α} (hf : f ∈ H) : ContinuousOn f S :=
h.continuousOn ⟨f, hf⟩
/-- Each function of a uniformly equicontinuous family is uniformly continuous. -/
theorem UniformEquicontinuous.uniformContinuous {F : ι → β → α} (h : UniformEquicontinuous F)
(i : ι) : UniformContinuous (F i) := fun U hU =>
mem_map.mpr (mem_of_superset (h U hU) fun _ hxy => hxy i)
/-- Each function of a family uniformly equicontinuous on `S` is uniformly continuous on `S`. -/
theorem UniformEquicontinuousOn.uniformContinuousOn {F : ι → β → α} {S : Set β}
(h : UniformEquicontinuousOn F S) (i : ι) :
UniformContinuousOn (F i) S := fun U hU =>
mem_map.mpr (mem_of_superset (h U hU) fun _ hxy => hxy i)
protected theorem Set.UniformEquicontinuous.uniformContinuous_of_mem {H : Set <| β → α}
(h : H.UniformEquicontinuous) {f : β → α} (hf : f ∈ H) : UniformContinuous f :=
h.uniformContinuous ⟨f, hf⟩
protected theorem Set.UniformEquicontinuousOn.uniformContinuousOn_of_mem {H : Set <| β → α}
{S : Set β} (h : H.UniformEquicontinuousOn S) {f : β → α} (hf : f ∈ H) :
UniformContinuousOn f S :=
h.uniformContinuousOn ⟨f, hf⟩
/-- Taking sub-families preserves equicontinuity at a point. -/
theorem EquicontinuousAt.comp {F : ι → X → α} {x₀ : X} (h : EquicontinuousAt F x₀) (u : κ → ι) :
EquicontinuousAt (F ∘ u) x₀ := fun U hU => (h U hU).mono fun _ H k => H (u k)
/-- Taking sub-families preserves equicontinuity at a point within a subset. -/
theorem EquicontinuousWithinAt.comp {F : ι → X → α} {S : Set X} {x₀ : X}
(h : EquicontinuousWithinAt F S x₀) (u : κ → ι) :
EquicontinuousWithinAt (F ∘ u) S x₀ :=
fun U hU ↦ (h U hU).mono fun _ H k => H (u k)
protected theorem Set.EquicontinuousAt.mono {H H' : Set <| X → α} {x₀ : X}
(h : H.EquicontinuousAt x₀) (hH : H' ⊆ H) : H'.EquicontinuousAt x₀ :=
h.comp (inclusion hH)
protected theorem Set.EquicontinuousWithinAt.mono {H H' : Set <| X → α} {S : Set X} {x₀ : X}
(h : H.EquicontinuousWithinAt S x₀) (hH : H' ⊆ H) : H'.EquicontinuousWithinAt S x₀ :=
h.comp (inclusion hH)
/-- Taking sub-families preserves equicontinuity. -/
theorem Equicontinuous.comp {F : ι → X → α} (h : Equicontinuous F) (u : κ → ι) :
Equicontinuous (F ∘ u) := fun x => (h x).comp u
/-- Taking sub-families preserves equicontinuity on a subset. -/
theorem EquicontinuousOn.comp {F : ι → X → α} {S : Set X} (h : EquicontinuousOn F S) (u : κ → ι) :
EquicontinuousOn (F ∘ u) S := fun x hx ↦ (h x hx).comp u
protected theorem Set.Equicontinuous.mono {H H' : Set <| X → α} (h : H.Equicontinuous)
(hH : H' ⊆ H) : H'.Equicontinuous :=
h.comp (inclusion hH)
protected theorem Set.EquicontinuousOn.mono {H H' : Set <| X → α} {S : Set X}
(h : H.EquicontinuousOn S) (hH : H' ⊆ H) : H'.EquicontinuousOn S :=
h.comp (inclusion hH)
/-- Taking sub-families preserves uniform equicontinuity. -/
theorem UniformEquicontinuous.comp {F : ι → β → α} (h : UniformEquicontinuous F) (u : κ → ι) :
UniformEquicontinuous (F ∘ u) := fun U hU => (h U hU).mono fun _ H k => H (u k)
/-- Taking sub-families preserves uniform equicontinuity on a subset. -/
theorem UniformEquicontinuousOn.comp {F : ι → β → α} {S : Set β} (h : UniformEquicontinuousOn F S)
(u : κ → ι) : UniformEquicontinuousOn (F ∘ u) S :=
fun U hU ↦ (h U hU).mono fun _ H k => H (u k)
protected theorem Set.UniformEquicontinuous.mono {H H' : Set <| β → α} (h : H.UniformEquicontinuous)
(hH : H' ⊆ H) : H'.UniformEquicontinuous :=
h.comp (inclusion hH)
protected theorem Set.UniformEquicontinuousOn.mono {H H' : Set <| β → α} {S : Set β}
(h : H.UniformEquicontinuousOn S) (hH : H' ⊆ H) : H'.UniformEquicontinuousOn S :=
h.comp (inclusion hH)
/-- A family `𝓕 : ι → X → α` is equicontinuous at `x₀` iff `range 𝓕` is equicontinuous at `x₀`,
i.e the family `(↑) : range F → X → α` is equicontinuous at `x₀`. -/
theorem equicontinuousAt_iff_range {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔ EquicontinuousAt ((↑) : range F → X → α) x₀ := by
simp only [EquicontinuousAt, forall_subtype_range_iff]
/-- A family `𝓕 : ι → X → α` is equicontinuous at `x₀` within `S` iff `range 𝓕` is equicontinuous
at `x₀` within `S`, i.e the family `(↑) : range F → X → α` is equicontinuous at `x₀` within `S`. -/
theorem equicontinuousWithinAt_iff_range {F : ι → X → α} {S : Set X} {x₀ : X} :
EquicontinuousWithinAt F S x₀ ↔ EquicontinuousWithinAt ((↑) : range F → X → α) S x₀ := by
simp only [EquicontinuousWithinAt, forall_subtype_range_iff]
/-- A family `𝓕 : ι → X → α` is equicontinuous iff `range 𝓕` is equicontinuous,
i.e the family `(↑) : range F → X → α` is equicontinuous. -/
theorem equicontinuous_iff_range {F : ι → X → α} :
Equicontinuous F ↔ Equicontinuous ((↑) : range F → X → α) :=
forall_congr' fun _ => equicontinuousAt_iff_range
/-- A family `𝓕 : ι → X → α` is equicontinuous on `S` iff `range 𝓕` is equicontinuous on `S`,
i.e the family `(↑) : range F → X → α` is equicontinuous on `S`. -/
theorem equicontinuousOn_iff_range {F : ι → X → α} {S : Set X} :
EquicontinuousOn F S ↔ EquicontinuousOn ((↑) : range F → X → α) S :=
forall_congr' fun _ ↦ forall_congr' fun _ ↦ equicontinuousWithinAt_iff_range
/-- A family `𝓕 : ι → β → α` is uniformly equicontinuous iff `range 𝓕` is uniformly equicontinuous,
i.e the family `(↑) : range F → β → α` is uniformly equicontinuous. -/
theorem uniformEquicontinuous_iff_range {F : ι → β → α} :
UniformEquicontinuous F ↔ UniformEquicontinuous ((↑) : range F → β → α) :=
⟨fun h => by rw [← comp_rangeSplitting F]; exact h.comp _, fun h =>
h.comp (rangeFactorization F)⟩
/-- A family `𝓕 : ι → β → α` is uniformly equicontinuous on `S` iff `range 𝓕` is uniformly
equicontinuous on `S`, i.e the family `(↑) : range F → β → α` is uniformly equicontinuous on `S`. -/
theorem uniformEquicontinuousOn_iff_range {F : ι → β → α} {S : Set β} :
UniformEquicontinuousOn F S ↔ UniformEquicontinuousOn ((↑) : range F → β → α) S :=
⟨fun h => by rw [← comp_rangeSplitting F]; exact h.comp _, fun h =>
h.comp (rangeFactorization F)⟩
section
open UniformFun
/-- A family `𝓕 : ι → X → α` is equicontinuous at `x₀` iff the function `swap 𝓕 : X → ι → α` is
continuous at `x₀` *when `ι → α` is equipped with the topology of uniform convergence*. This is
very useful for developing the equicontinuity API, but it should not be used directly for other
purposes. -/
theorem equicontinuousAt_iff_continuousAt {F : ι → X → α} {x₀ : X} :
EquicontinuousAt F x₀ ↔ ContinuousAt (ofFun ∘ Function.swap F : X → ι →ᵤ α) x₀ := by
rw [ContinuousAt, (UniformFun.hasBasis_nhds ι α _).tendsto_right_iff]
rfl
/-- A family `𝓕 : ι → X → α` is equicontinuous at `x₀` within `S` iff the function
`swap 𝓕 : X → ι → α` is continuous at `x₀` within `S`
*when `ι → α` is equipped with the topology of uniform convergence*. This is very useful for
developing the equicontinuity API, but it should not be used directly for other purposes. -/
theorem equicontinuousWithinAt_iff_continuousWithinAt {F : ι → X → α} {S : Set X} {x₀ : X} :
EquicontinuousWithinAt F S x₀ ↔
ContinuousWithinAt (ofFun ∘ Function.swap F : X → ι →ᵤ α) S x₀ := by
rw [ContinuousWithinAt, (UniformFun.hasBasis_nhds ι α _).tendsto_right_iff]
rfl
/-- A family `𝓕 : ι → X → α` is equicontinuous iff the function `swap 𝓕 : X → ι → α` is
continuous *when `ι → α` is equipped with the topology of uniform convergence*. This is
very useful for developing the equicontinuity API, but it should not be used directly for other
purposes. -/
theorem equicontinuous_iff_continuous {F : ι → X → α} :
Equicontinuous F ↔ Continuous (ofFun ∘ Function.swap F : X → ι →ᵤ α) := by
simp_rw [Equicontinuous, continuous_iff_continuousAt, equicontinuousAt_iff_continuousAt]
/-- A family `𝓕 : ι → X → α` is equicontinuous on `S` iff the function `swap 𝓕 : X → ι → α` is
continuous on `S` *when `ι → α` is equipped with the topology of uniform convergence*. This is
very useful for developing the equicontinuity API, but it should not be used directly for other
purposes. -/
theorem equicontinuousOn_iff_continuousOn {F : ι → X → α} {S : Set X} :
EquicontinuousOn F S ↔ ContinuousOn (ofFun ∘ Function.swap F : X → ι →ᵤ α) S := by
simp_rw [EquicontinuousOn, ContinuousOn, equicontinuousWithinAt_iff_continuousWithinAt]
/-- A family `𝓕 : ι → β → α` is uniformly equicontinuous iff the function `swap 𝓕 : β → ι → α` is
uniformly continuous *when `ι → α` is equipped with the uniform structure of uniform convergence*.
This is very useful for developing the equicontinuity API, but it should not be used directly
for other purposes. -/
theorem uniformEquicontinuous_iff_uniformContinuous {F : ι → β → α} :
UniformEquicontinuous F ↔ UniformContinuous (ofFun ∘ Function.swap F : β → ι →ᵤ α) := by
rw [UniformContinuous, (UniformFun.hasBasis_uniformity ι α).tendsto_right_iff]
rfl
/-- A family `𝓕 : ι → β → α` is uniformly equicontinuous on `S` iff the function
`swap 𝓕 : β → ι → α` is uniformly continuous on `S`
*when `ι → α` is equipped with the uniform structure of uniform convergence*. This is very useful
for developing the equicontinuity API, but it should not be used directly for other purposes. -/
theorem uniformEquicontinuousOn_iff_uniformContinuousOn {F : ι → β → α} {S : Set β} :
UniformEquicontinuousOn F S ↔ UniformContinuousOn (ofFun ∘ Function.swap F : β → ι →ᵤ α) S := by
rw [UniformContinuousOn, (UniformFun.hasBasis_uniformity ι α).tendsto_right_iff]
rfl
theorem equicontinuousWithinAt_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'}
{S : Set X} {x₀ : X} : EquicontinuousWithinAt (uα := ⨅ k, u k) F S x₀ ↔
∀ k, EquicontinuousWithinAt (uα := u k) F S x₀ := by
simp only [equicontinuousWithinAt_iff_continuousWithinAt (uα := _), topologicalSpace]
unfold ContinuousWithinAt
rw [UniformFun.iInf_eq, toTopologicalSpace_iInf, nhds_iInf, tendsto_iInf]
theorem equicontinuousAt_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'}
{x₀ : X} :
EquicontinuousAt (uα := ⨅ k, u k) F x₀ ↔ ∀ k, EquicontinuousAt (uα := u k) F x₀ := by
simp only [← equicontinuousWithinAt_univ (uα := _), equicontinuousWithinAt_iInf_rng]
theorem equicontinuous_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'} :
Equicontinuous (uα := ⨅ k, u k) F ↔ ∀ k, Equicontinuous (uα := u k) F := by
simp_rw [equicontinuous_iff_continuous (uα := _), UniformFun.topologicalSpace]
rw [UniformFun.iInf_eq, toTopologicalSpace_iInf, continuous_iInf_rng]
theorem equicontinuousOn_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'}
{S : Set X} :
EquicontinuousOn (uα := ⨅ k, u k) F S ↔ ∀ k, EquicontinuousOn (uα := u k) F S := by
simp_rw [EquicontinuousOn, equicontinuousWithinAt_iInf_rng, @forall_swap _ κ]
theorem uniformEquicontinuous_iInf_rng {u : κ → UniformSpace α'} {F : ι → β → α'} :
UniformEquicontinuous (uα := ⨅ k, u k) F ↔ ∀ k, UniformEquicontinuous (uα := u k) F := by
simp_rw [uniformEquicontinuous_iff_uniformContinuous (uα := _)]
rw [UniformFun.iInf_eq, uniformContinuous_iInf_rng]
theorem uniformEquicontinuousOn_iInf_rng {u : κ → UniformSpace α'} {F : ι → β → α'}
{S : Set β} : UniformEquicontinuousOn (uα := ⨅ k, u k) F S ↔
∀ k, UniformEquicontinuousOn (uα := u k) F S := by
simp_rw [uniformEquicontinuousOn_iff_uniformContinuousOn (uα := _)]
unfold UniformContinuousOn
rw [UniformFun.iInf_eq, iInf_uniformity, tendsto_iInf]
theorem equicontinuousWithinAt_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α}
{S : Set X'} {x₀ : X'} {k : κ} (hk : EquicontinuousWithinAt (tX := t k) F S x₀) :
EquicontinuousWithinAt (tX := ⨅ k, t k) F S x₀ := by
simp only [equicontinuousWithinAt_iff_continuousWithinAt (tX := _)] at hk ⊢
unfold ContinuousWithinAt nhdsWithin at hk ⊢
rw [nhds_iInf]
exact hk.mono_left <| inf_le_inf_right _ <| iInf_le _ k
theorem equicontinuousAt_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α}
{x₀ : X'} {k : κ} (hk : EquicontinuousAt (tX := t k) F x₀) :
EquicontinuousAt (tX := ⨅ k, t k) F x₀ := by
rw [← equicontinuousWithinAt_univ (tX := _)] at hk ⊢
exact equicontinuousWithinAt_iInf_dom hk
theorem equicontinuous_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α}
{k : κ} (hk : Equicontinuous (tX := t k) F) :
Equicontinuous (tX := ⨅ k, t k) F :=
fun x ↦ equicontinuousAt_iInf_dom (hk x)
theorem equicontinuousOn_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α}
{S : Set X'} {k : κ} (hk : EquicontinuousOn (tX := t k) F S) :
EquicontinuousOn (tX := ⨅ k, t k) F S :=
fun x hx ↦ equicontinuousWithinAt_iInf_dom (hk x hx)
theorem uniformEquicontinuous_iInf_dom {u : κ → UniformSpace β'} {F : ι → β' → α}
{k : κ} (hk : UniformEquicontinuous (uβ := u k) F) :
UniformEquicontinuous (uβ := ⨅ k, u k) F := by
simp_rw [uniformEquicontinuous_iff_uniformContinuous (uβ := _)] at hk ⊢
exact uniformContinuous_iInf_dom hk
theorem uniformEquicontinuousOn_iInf_dom {u : κ → UniformSpace β'} {F : ι → β' → α}
{S : Set β'} {k : κ} (hk : UniformEquicontinuousOn (uβ := u k) F S) :
UniformEquicontinuousOn (uβ := ⨅ k, u k) F S := by
simp_rw [uniformEquicontinuousOn_iff_uniformContinuousOn (uβ := _)] at hk ⊢
unfold UniformContinuousOn
rw [iInf_uniformity]
exact hk.mono_left <| inf_le_inf_right _ <| iInf_le _ k
theorem Filter.HasBasis.equicontinuousAt_iff_left {p : κ → Prop} {s : κ → Set X}
{F : ι → X → α} {x₀ : X} (hX : (𝓝 x₀).HasBasis p s) :
EquicontinuousAt F x₀ ↔ ∀ U ∈ 𝓤 α, ∃ k, p k ∧ ∀ x ∈ s k, ∀ i, (F i x₀, F i x) ∈ U := by
rw [equicontinuousAt_iff_continuousAt, ContinuousAt,
hX.tendsto_iff (UniformFun.hasBasis_nhds ι α _)]
rfl
theorem Filter.HasBasis.equicontinuousWithinAt_iff_left {p : κ → Prop} {s : κ → Set X}
{F : ι → X → α} {S : Set X} {x₀ : X} (hX : (𝓝[S] x₀).HasBasis p s) :
EquicontinuousWithinAt F S x₀ ↔ ∀ U ∈ 𝓤 α, ∃ k, p k ∧ ∀ x ∈ s k, ∀ i, (F i x₀, F i x) ∈ U := by
rw [equicontinuousWithinAt_iff_continuousWithinAt, ContinuousWithinAt,
hX.tendsto_iff (UniformFun.hasBasis_nhds ι α _)]
rfl
theorem Filter.HasBasis.equicontinuousAt_iff_right {p : κ → Prop} {s : κ → Set (α × α)}
{F : ι → X → α} {x₀ : X} (hα : (𝓤 α).HasBasis p s) :
EquicontinuousAt F x₀ ↔ ∀ k, p k → ∀ᶠ x in 𝓝 x₀, ∀ i, (F i x₀, F i x) ∈ s k := by
rw [equicontinuousAt_iff_continuousAt, ContinuousAt,
(UniformFun.hasBasis_nhds_of_basis ι α _ hα).tendsto_right_iff]
rfl
theorem Filter.HasBasis.equicontinuousWithinAt_iff_right {p : κ → Prop}
{s : κ → Set (α × α)} {F : ι → X → α} {S : Set X} {x₀ : X} (hα : (𝓤 α).HasBasis p s) :
EquicontinuousWithinAt F S x₀ ↔ ∀ k, p k → ∀ᶠ x in 𝓝[S] x₀, ∀ i, (F i x₀, F i x) ∈ s k := by
rw [equicontinuousWithinAt_iff_continuousWithinAt, ContinuousWithinAt,
(UniformFun.hasBasis_nhds_of_basis ι α _ hα).tendsto_right_iff]
rfl
theorem Filter.HasBasis.equicontinuousAt_iff {κ₁ κ₂ : Type*} {p₁ : κ₁ → Prop} {s₁ : κ₁ → Set X}
{p₂ : κ₂ → Prop} {s₂ : κ₂ → Set (α × α)} {F : ι → X → α} {x₀ : X} (hX : (𝓝 x₀).HasBasis p₁ s₁)
(hα : (𝓤 α).HasBasis p₂ s₂) :
EquicontinuousAt F x₀ ↔
∀ k₂, p₂ k₂ → ∃ k₁, p₁ k₁ ∧ ∀ x ∈ s₁ k₁, ∀ i, (F i x₀, F i x) ∈ s₂ k₂ := by
rw [equicontinuousAt_iff_continuousAt, ContinuousAt,
hX.tendsto_iff (UniformFun.hasBasis_nhds_of_basis ι α _ hα)]
rfl
theorem Filter.HasBasis.equicontinuousWithinAt_iff {κ₁ κ₂ : Type*} {p₁ : κ₁ → Prop}
{s₁ : κ₁ → Set X} {p₂ : κ₂ → Prop} {s₂ : κ₂ → Set (α × α)} {F : ι → X → α} {S : Set X} {x₀ : X}
(hX : (𝓝[S] x₀).HasBasis p₁ s₁) (hα : (𝓤 α).HasBasis p₂ s₂) :
EquicontinuousWithinAt F S x₀ ↔
∀ k₂, p₂ k₂ → ∃ k₁, p₁ k₁ ∧ ∀ x ∈ s₁ k₁, ∀ i, (F i x₀, F i x) ∈ s₂ k₂ := by
rw [equicontinuousWithinAt_iff_continuousWithinAt, ContinuousWithinAt,
hX.tendsto_iff (UniformFun.hasBasis_nhds_of_basis ι α _ hα)]
rfl
theorem Filter.HasBasis.uniformEquicontinuous_iff_left {p : κ → Prop}
{s : κ → Set (β × β)} {F : ι → β → α} (hβ : (𝓤 β).HasBasis p s) :
UniformEquicontinuous F ↔
∀ U ∈ 𝓤 α, ∃ k, p k ∧ ∀ x y, (x, y) ∈ s k → ∀ i, (F i x, F i y) ∈ U := by
rw [uniformEquicontinuous_iff_uniformContinuous, UniformContinuous,
hβ.tendsto_iff (UniformFun.hasBasis_uniformity ι α)]
simp only [Prod.forall]
rfl
theorem Filter.HasBasis.uniformEquicontinuousOn_iff_left {p : κ → Prop}
{s : κ → Set (β × β)} {F : ι → β → α} {S : Set β} (hβ : (𝓤 β ⊓ 𝓟 (S ×ˢ S)).HasBasis p s) :
UniformEquicontinuousOn F S ↔
∀ U ∈ 𝓤 α, ∃ k, p k ∧ ∀ x y, (x, y) ∈ s k → ∀ i, (F i x, F i y) ∈ U := by
rw [uniformEquicontinuousOn_iff_uniformContinuousOn, UniformContinuousOn,
hβ.tendsto_iff (UniformFun.hasBasis_uniformity ι α)]
simp only [Prod.forall]
rfl
theorem Filter.HasBasis.uniformEquicontinuous_iff_right {p : κ → Prop}
{s : κ → Set (α × α)} {F : ι → β → α} (hα : (𝓤 α).HasBasis p s) :
UniformEquicontinuous F ↔ ∀ k, p k → ∀ᶠ xy : β × β in 𝓤 β, ∀ i, (F i xy.1, F i xy.2) ∈ s k := by
rw [uniformEquicontinuous_iff_uniformContinuous, UniformContinuous,
(UniformFun.hasBasis_uniformity_of_basis ι α hα).tendsto_right_iff]
rfl
theorem Filter.HasBasis.uniformEquicontinuousOn_iff_right {p : κ → Prop}
{s : κ → Set (α × α)} {F : ι → β → α} {S : Set β} (hα : (𝓤 α).HasBasis p s) :
UniformEquicontinuousOn F S ↔
∀ k, p k → ∀ᶠ xy : β × β in 𝓤 β ⊓ 𝓟 (S ×ˢ S), ∀ i, (F i xy.1, F i xy.2) ∈ s k := by
rw [uniformEquicontinuousOn_iff_uniformContinuousOn, UniformContinuousOn,
(UniformFun.hasBasis_uniformity_of_basis ι α hα).tendsto_right_iff]
rfl
theorem Filter.HasBasis.uniformEquicontinuous_iff {κ₁ κ₂ : Type*} {p₁ : κ₁ → Prop}
{s₁ : κ₁ → Set (β × β)} {p₂ : κ₂ → Prop} {s₂ : κ₂ → Set (α × α)} {F : ι → β → α}
(hβ : (𝓤 β).HasBasis p₁ s₁) (hα : (𝓤 α).HasBasis p₂ s₂) :
UniformEquicontinuous F ↔
∀ k₂, p₂ k₂ → ∃ k₁, p₁ k₁ ∧ ∀ x y, (x, y) ∈ s₁ k₁ → ∀ i, (F i x, F i y) ∈ s₂ k₂ := by
rw [uniformEquicontinuous_iff_uniformContinuous, UniformContinuous,
hβ.tendsto_iff (UniformFun.hasBasis_uniformity_of_basis ι α hα)]
simp only [Prod.forall]
rfl
theorem Filter.HasBasis.uniformEquicontinuousOn_iff {κ₁ κ₂ : Type*} {p₁ : κ₁ → Prop}
{s₁ : κ₁ → Set (β × β)} {p₂ : κ₂ → Prop} {s₂ : κ₂ → Set (α × α)} {F : ι → β → α}
{S : Set β} (hβ : (𝓤 β ⊓ 𝓟 (S ×ˢ S)).HasBasis p₁ s₁) (hα : (𝓤 α).HasBasis p₂ s₂) :
UniformEquicontinuousOn F S ↔
∀ k₂, p₂ k₂ → ∃ k₁, p₁ k₁ ∧ ∀ x y, (x, y) ∈ s₁ k₁ → ∀ i, (F i x, F i y) ∈ s₂ k₂ := by
rw [uniformEquicontinuousOn_iff_uniformContinuousOn, UniformContinuousOn,
hβ.tendsto_iff (UniformFun.hasBasis_uniformity_of_basis ι α hα)]
simp only [Prod.forall]
rfl
/-- Given `u : α → β` a uniform inducing map, a family `𝓕 : ι → X → α` is equicontinuous at a point
`x₀ : X` iff the family `𝓕'`, obtained by composing each function of `𝓕` by `u`, is
equicontinuous at `x₀`. -/
theorem IsUniformInducing.equicontinuousAt_iff {F : ι → X → α} {x₀ : X} {u : α → β}
(hu : IsUniformInducing u) : EquicontinuousAt F x₀ ↔ EquicontinuousAt ((u ∘ ·) ∘ F) x₀ := by
have := (UniformFun.postcomp_isUniformInducing (α := ι) hu).isInducing
rw [equicontinuousAt_iff_continuousAt, equicontinuousAt_iff_continuousAt, this.continuousAt_iff]
rfl
/-- Given `u : α → β` a uniform inducing map, a family `𝓕 : ι → X → α` is equicontinuous at a point
`x₀ : X` within a subset `S : Set X` iff the family `𝓕'`, obtained by composing each function
of `𝓕` by `u`, is equicontinuous at `x₀` within `S`. -/
lemma IsUniformInducing.equicontinuousWithinAt_iff {F : ι → X → α} {S : Set X} {x₀ : X} {u : α → β}
(hu : IsUniformInducing u) : EquicontinuousWithinAt F S x₀ ↔
EquicontinuousWithinAt ((u ∘ ·) ∘ F) S x₀ := by
have := (UniformFun.postcomp_isUniformInducing (α := ι) hu).isInducing
simp only [equicontinuousWithinAt_iff_continuousWithinAt, this.continuousWithinAt_iff]
rfl
/-- Given `u : α → β` a uniform inducing map, a family `𝓕 : ι → X → α` is equicontinuous iff the
family `𝓕'`, obtained by composing each function of `𝓕` by `u`, is equicontinuous. -/
lemma IsUniformInducing.equicontinuous_iff {F : ι → X → α} {u : α → β} (hu : IsUniformInducing u) :
Equicontinuous F ↔ Equicontinuous ((u ∘ ·) ∘ F) := by
congrm ∀ x, ?_
rw [hu.equicontinuousAt_iff]
/-- Given `u : α → β` a uniform inducing map, a family `𝓕 : ι → X → α` is equicontinuous on a
subset `S : Set X` iff the family `𝓕'`, obtained by composing each function of `𝓕` by `u`, is
equicontinuous on `S`. -/
theorem IsUniformInducing.equicontinuousOn_iff {F : ι → X → α} {S : Set X} {u : α → β}
(hu : IsUniformInducing u) : EquicontinuousOn F S ↔ EquicontinuousOn ((u ∘ ·) ∘ F) S := by
congrm ∀ x ∈ S, ?_
rw [hu.equicontinuousWithinAt_iff]
/-- Given `u : α → γ` a uniform inducing map, a family `𝓕 : ι → β → α` is uniformly equicontinuous
iff the family `𝓕'`, obtained by composing each function of `𝓕` by `u`, is uniformly
equicontinuous. -/
theorem IsUniformInducing.uniformEquicontinuous_iff {F : ι → β → α} {u : α → γ}
(hu : IsUniformInducing u) : UniformEquicontinuous F ↔ UniformEquicontinuous ((u ∘ ·) ∘ F) := by
have := UniformFun.postcomp_isUniformInducing (α := ι) hu
simp only [uniformEquicontinuous_iff_uniformContinuous, this.uniformContinuous_iff]
rfl
/-- Given `u : α → γ` a uniform inducing map, a family `𝓕 : ι → β → α` is uniformly equicontinuous
on a subset `S : Set β` iff the family `𝓕'`, obtained by composing each function of `𝓕` by `u`,
is uniformly equicontinuous on `S`. -/
theorem IsUniformInducing.uniformEquicontinuousOn_iff {F : ι → β → α} {S : Set β} {u : α → γ}
(hu : IsUniformInducing u) :
UniformEquicontinuousOn F S ↔ UniformEquicontinuousOn ((u ∘ ·) ∘ F) S := by
have := UniformFun.postcomp_isUniformInducing (α := ι) hu
simp only [uniformEquicontinuousOn_iff_uniformContinuousOn, this.uniformContinuousOn_iff]
rfl
/-- If a set of functions is equicontinuous at some `x₀` within a set `S`, the same is true for its
closure in *any* topology for which evaluation at any `x ∈ S ∪ {x₀}` is continuous. Since
this will be applied to `DFunLike` types, we state it for any topological space with a map
to `X → α` satisfying the right continuity conditions. See also `Set.EquicontinuousWithinAt.closure`
for a more familiar (but weaker) statement.
Note: This could *technically* be called `EquicontinuousWithinAt.closure` without name clashes
with `Set.EquicontinuousWithinAt.closure`, but we don't do it because, even with a `protected`
marker, it would introduce ambiguities while working in namespace `Set` (e.g, in the proof of
any theorem called `Set.something`). -/
theorem EquicontinuousWithinAt.closure' {A : Set Y} {u : Y → X → α} {S : Set X} {x₀ : X}
(hA : EquicontinuousWithinAt (u ∘ (↑) : A → X → α) S x₀) (hu₁ : Continuous (S.restrict ∘ u))
(hu₂ : Continuous (eval x₀ ∘ u)) :
EquicontinuousWithinAt (u ∘ (↑) : closure A → X → α) S x₀ := by
intro U hU
rcases mem_uniformity_isClosed hU with ⟨V, hV, hVclosed, hVU⟩
filter_upwards [hA V hV, eventually_mem_nhdsWithin] with x hx hxS
rw [SetCoe.forall] at *
change A ⊆ (fun f => (u f x₀, u f x)) ⁻¹' V at hx
refine (closure_minimal hx <| hVclosed.preimage <| hu₂.prodMk ?_).trans (preimage_mono hVU)
exact (continuous_apply ⟨x, hxS⟩).comp hu₁
/-- If a set of functions is equicontinuous at some `x₀`, the same is true for its closure in *any*
topology for which evaluation at any point is continuous. Since this will be applied to
`DFunLike` types, we state it for any topological space with a map to `X → α` satisfying the right
continuity conditions. See also `Set.EquicontinuousAt.closure` for a more familiar statement. -/
theorem EquicontinuousAt.closure' {A : Set Y} {u : Y → X → α} {x₀ : X}
(hA : EquicontinuousAt (u ∘ (↑) : A → X → α) x₀) (hu : Continuous u) :
EquicontinuousAt (u ∘ (↑) : closure A → X → α) x₀ := by
rw [← equicontinuousWithinAt_univ] at hA ⊢
exact hA.closure' (Pi.continuous_restrict _ |>.comp hu) (continuous_apply x₀ |>.comp hu)
/-- If a set of functions is equicontinuous at some `x₀`, its closure for the product topology is
also equicontinuous at `x₀`. -/
protected theorem Set.EquicontinuousAt.closure {A : Set (X → α)} {x₀ : X}
(hA : A.EquicontinuousAt x₀) : (closure A).EquicontinuousAt x₀ :=
hA.closure' (u := id) continuous_id
/-- If a set of functions is equicontinuous at some `x₀` within a set `S`, its closure for the
product topology is also equicontinuous at `x₀` within `S`. This would also be true for the coarser
topology of pointwise convergence on `S ∪ {x₀}`, see `Set.EquicontinuousWithinAt.closure'`. -/
protected theorem Set.EquicontinuousWithinAt.closure {A : Set (X → α)} {S : Set X} {x₀ : X}
(hA : A.EquicontinuousWithinAt S x₀) :
(closure A).EquicontinuousWithinAt S x₀ :=
hA.closure' (u := id) (Pi.continuous_restrict _) (continuous_apply _)
/-- If a set of functions is equicontinuous, the same is true for its closure in *any*
topology for which evaluation at any point is continuous. Since this will be applied to
`DFunLike` types, we state it for any topological space with a map to `X → α` satisfying the right
continuity conditions. See also `Set.Equicontinuous.closure` for a more familiar statement. -/
theorem Equicontinuous.closure' {A : Set Y} {u : Y → X → α}
(hA : Equicontinuous (u ∘ (↑) : A → X → α)) (hu : Continuous u) :
Equicontinuous (u ∘ (↑) : closure A → X → α) := fun x ↦ (hA x).closure' hu
/-- If a set of functions is equicontinuous on a set `S`, the same is true for its closure in *any*
topology for which evaluation at any `x ∈ S` is continuous. Since this will be applied to
`DFunLike` types, we state it for any topological space with a map to `X → α` satisfying the right
continuity conditions. See also `Set.EquicontinuousOn.closure` for a more familiar
(but weaker) statement. -/
theorem EquicontinuousOn.closure' {A : Set Y} {u : Y → X → α} {S : Set X}
(hA : EquicontinuousOn (u ∘ (↑) : A → X → α) S) (hu : Continuous (S.restrict ∘ u)) :
EquicontinuousOn (u ∘ (↑) : closure A → X → α) S :=
fun x hx ↦ (hA x hx).closure' hu <| by exact continuous_apply ⟨x, hx⟩ |>.comp hu
/-- If a set of functions is equicontinuous, its closure for the product topology is also
equicontinuous. -/
protected theorem Set.Equicontinuous.closure {A : Set <| X → α} (hA : A.Equicontinuous) :
(closure A).Equicontinuous := fun x ↦ Set.EquicontinuousAt.closure (hA x)
/-- If a set of functions is equicontinuous, its closure for the product topology is also
equicontinuous. This would also be true for the coarser topology of pointwise convergence on `S`,
see `EquicontinuousOn.closure'`. -/
protected theorem Set.EquicontinuousOn.closure {A : Set <| X → α} {S : Set X}
(hA : A.EquicontinuousOn S) : (closure A).EquicontinuousOn S :=
fun x hx ↦ Set.EquicontinuousWithinAt.closure (hA x hx)
/-- If a set of functions is uniformly equicontinuous on a set `S`, the same is true for its
closure in *any* topology for which evaluation at any `x ∈ S` i continuous. Since this will be
applied to `DFunLike` types, we state it for any topological space with a map to `β → α` satisfying
the right continuity conditions. See also `Set.UniformEquicontinuousOn.closure` for a more familiar
(but weaker) statement. -/
theorem UniformEquicontinuousOn.closure' {A : Set Y} {u : Y → β → α} {S : Set β}
(hA : UniformEquicontinuousOn (u ∘ (↑) : A → β → α) S) (hu : Continuous (S.restrict ∘ u)) :
UniformEquicontinuousOn (u ∘ (↑) : closure A → β → α) S := by
intro U hU
rcases mem_uniformity_isClosed hU with ⟨V, hV, hVclosed, hVU⟩
filter_upwards [hA V hV, mem_inf_of_right (mem_principal_self _)]
rintro ⟨x, y⟩ hxy ⟨hxS, hyS⟩
rw [SetCoe.forall] at *
change A ⊆ (fun f => (u f x, u f y)) ⁻¹' V at hxy
refine (closure_minimal hxy <| hVclosed.preimage <| .prodMk ?_ ?_).trans (preimage_mono hVU)
· exact (continuous_apply ⟨x, hxS⟩).comp hu
· exact (continuous_apply ⟨y, hyS⟩).comp hu
/-- If a set of functions is uniformly equicontinuous, the same is true for its closure in *any*
topology for which evaluation at any point is continuous. Since this will be applied to
`DFunLike` types, we state it for any topological space with a map to `β → α` satisfying the right
continuity conditions. See also `Set.UniformEquicontinuous.closure` for a more familiar statement.
-/
| theorem UniformEquicontinuous.closure' {A : Set Y} {u : Y → β → α}
(hA : UniformEquicontinuous (u ∘ (↑) : A → β → α)) (hu : Continuous u) :
UniformEquicontinuous (u ∘ (↑) : closure A → β → α) := by
rw [← uniformEquicontinuousOn_univ] at hA ⊢
| Mathlib/Topology/UniformSpace/Equicontinuity.lean | 856 | 859 |
/-
Copyright (c) 2024 Brendan Murphy. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Brendan Murphy
-/
import Mathlib.RingTheory.Regular.IsSMulRegular
import Mathlib.RingTheory.Artinian.Module
import Mathlib.RingTheory.Nakayama
import Mathlib.Algebra.Equiv.TransferInstance
import Mathlib.RingTheory.LocalRing.MaximalIdeal.Basic
import Mathlib.RingTheory.Noetherian.Basic
/-!
# Regular sequences and weakly regular sequences
The notion of a regular sequence is fundamental in commutative algebra.
Properties of regular sequences encode information about singularities of a
ring and regularity of a sequence can be tested homologically.
However the notion of a regular sequence is only really sensible for Noetherian local rings.
TODO: Koszul regular sequences, H_1-regular sequences, quasi-regular sequences, depth.
## Tags
module, regular element, regular sequence, commutative algebra
-/
universe u v
open scoped Pointwise
variable {R S M M₂ M₃ M₄ : Type*}
namespace Ideal
variable [Semiring R] [Semiring S]
/-- The ideal generated by a list of elements. -/
abbrev ofList (rs : List R) := span { r | r ∈ rs }
@[simp] lemma ofList_nil : (ofList [] : Ideal R) = ⊥ :=
have : { r | r ∈ [] } = ∅ := Set.eq_empty_of_forall_not_mem (fun _ => List.not_mem_nil)
Eq.trans (congrArg span this) span_empty
@[simp] lemma ofList_append (rs₁ rs₂ : List R) :
ofList (rs₁ ++ rs₂) = ofList rs₁ ⊔ ofList rs₂ :=
have : { r | r ∈ rs₁ ++ rs₂ } = _ := Set.ext (fun _ => List.mem_append)
Eq.trans (congrArg span this) (span_union _ _)
lemma ofList_singleton (r : R) : ofList [r] = span {r} :=
congrArg span (Set.ext fun _ => List.mem_singleton)
@[simp] lemma ofList_cons (r : R) (rs : List R) :
ofList (r::rs) = span {r} ⊔ ofList rs :=
Eq.trans (ofList_append [r] rs) (congrArg (· ⊔ _) (ofList_singleton r))
@[simp] lemma map_ofList (f : R →+* S) (rs : List R) :
map f (ofList rs) = ofList (rs.map f) :=
Eq.trans (map_span f { r | r ∈ rs }) <| congrArg span <|
Set.ext (fun _ => List.mem_map.symm)
lemma ofList_cons_smul {R} [CommSemiring R] (r : R) (rs : List R) {M}
[AddCommMonoid M] [Module R M] (N : Submodule R M) :
ofList (r :: rs) • N = r • N ⊔ ofList rs • N := by
rw [ofList_cons, Submodule.sup_smul, Submodule.ideal_span_singleton_smul]
end Ideal
namespace Submodule
lemma smul_top_le_comap_smul_top [Semiring R] [AddCommMonoid M]
[AddCommMonoid M₂] [Module R M] [Module R M₂] (I : Ideal R)
(f : M →ₗ[R] M₂) : I • ⊤ ≤ comap f (I • ⊤) :=
map_le_iff_le_comap.mp <| le_of_eq_of_le (map_smul'' _ _ _) <|
smul_mono_right _ le_top
variable (M) [CommRing R] [AddCommGroup M] [AddCommGroup M₂]
[Module R M] [Module R M₂] (r : R) (rs : List R)
/-- The equivalence between M ⧸ (r₀, r₁, …, rₙ)M and (M ⧸ r₀M) ⧸ (r₁, …, rₙ) (M ⧸ r₀M). -/
def quotOfListConsSMulTopEquivQuotSMulTopInner :
(M ⧸ (Ideal.ofList (r :: rs) • ⊤ : Submodule R M)) ≃ₗ[R]
QuotSMulTop r M ⧸ (Ideal.ofList rs • ⊤ : Submodule R (QuotSMulTop r M)) :=
quotEquivOfEq _ _ (Ideal.ofList_cons_smul r rs ⊤) ≪≫ₗ
(quotientQuotientEquivQuotientSup (r • ⊤) (Ideal.ofList rs • ⊤)).symm ≪≫ₗ
quotEquivOfEq _ _ (by rw [map_smul'', map_top, range_mkQ])
/-- The equivalence between M ⧸ (r₀, r₁, …, rₙ)M and (M ⧸ (r₁, …, rₙ)) ⧸ r₀ (M ⧸ (r₁, …, rₙ)). -/
def quotOfListConsSMulTopEquivQuotSMulTopOuter :
(M ⧸ (Ideal.ofList (r :: rs) • ⊤ : Submodule R M)) ≃ₗ[R]
QuotSMulTop r (M ⧸ (Ideal.ofList rs • ⊤ : Submodule R M)) :=
quotEquivOfEq _ _ (Eq.trans (Ideal.ofList_cons_smul r rs ⊤) (sup_comm _ _)) ≪≫ₗ
(quotientQuotientEquivQuotientSup (Ideal.ofList rs • ⊤) (r • ⊤)).symm ≪≫ₗ
quotEquivOfEq _ _ (by rw [map_pointwise_smul, map_top, range_mkQ])
variable {M}
lemma quotOfListConsSMulTopEquivQuotSMulTopInner_naturality (f : M →ₗ[R] M₂) :
(quotOfListConsSMulTopEquivQuotSMulTopInner M₂ r rs).toLinearMap ∘ₗ
mapQ _ _ _ (smul_top_le_comap_smul_top (Ideal.ofList (r :: rs)) f) =
mapQ _ _ _ (smul_top_le_comap_smul_top _ (QuotSMulTop.map r f)) ∘ₗ
(quotOfListConsSMulTopEquivQuotSMulTopInner M r rs).toLinearMap :=
quot_hom_ext _ _ _ fun _ => rfl
lemma top_eq_ofList_cons_smul_iff :
(⊤ : Submodule R M) = Ideal.ofList (r :: rs) • ⊤ ↔
(⊤ : Submodule R (QuotSMulTop r M)) = Ideal.ofList rs • ⊤ := by
conv => congr <;> rw [eq_comm, ← subsingleton_quotient_iff_eq_top]
exact (quotOfListConsSMulTopEquivQuotSMulTopInner M r rs).toEquiv.subsingleton_congr
end Submodule
namespace RingTheory.Sequence
open scoped TensorProduct List
open Function Submodule QuotSMulTop
variable (S M)
section Definitions
/-
In theory, regularity of `rs : List α` on `M` makes sense as soon as
`[Monoid α]`, `[AddCommGroup M]`, and `[DistribMulAction α M]`.
Instead of `Ideal.ofList (rs.take i) • (⊤ : Submodule R M)` we use
`⨆ (j : Fin i), rs[j] • (⊤ : AddSubgroup M)`.
However it's not clear that this is a useful generalization.
If we add the assumption `[SMulCommClass α α M]` this is essentially the same
as focusing on the commutative ring case, by passing to the monoid ring
`ℤ[abelianization of α]`.
-/
variable [CommRing R] [AddCommGroup M] [Module R M]
open Ideal
/-- A sequence `[r₁, …, rₙ]` is weakly regular on `M` iff `rᵢ` is regular on
`M⧸(r₁, …, rᵢ₋₁)M` for all `1 ≤ i ≤ n`. -/
@[mk_iff]
structure IsWeaklyRegular (rs : List R) : Prop where
regular_mod_prev : ∀ i (h : i < rs.length),
IsSMulRegular (M ⧸ (ofList (rs.take i) • ⊤ : Submodule R M)) rs[i]
lemma isWeaklyRegular_iff_Fin (rs : List R) :
IsWeaklyRegular M rs ↔ ∀ (i : Fin rs.length),
IsSMulRegular (M ⧸ (ofList (rs.take i) • ⊤ : Submodule R M)) rs[i] :=
Iff.trans (isWeaklyRegular_iff M rs) (Iff.symm Fin.forall_iff)
/-- A weakly regular sequence `rs` on `M` is regular if also `M/rsM ≠ 0`. -/
@[mk_iff]
structure IsRegular (rs : List R) : Prop extends IsWeaklyRegular M rs where
top_ne_smul : (⊤ : Submodule R M) ≠ Ideal.ofList rs • ⊤
end Definitions
section Congr
variable {S M} [CommRing R] [CommRing S] [AddCommGroup M] [AddCommGroup M₂]
[Module R M] [Module S M₂]
{σ : R →+* S} {σ' : S →+* R} [RingHomInvPair σ σ'] [RingHomInvPair σ' σ]
open DistribMulAction AddSubgroup in
private lemma _root_.AddHom.map_smul_top_toAddSubgroup_of_surjective
{f : M →+ M₂} {as : List R} {bs : List S} (hf : Function.Surjective f)
(h : List.Forall₂ (fun r s => ∀ x, f (r • x) = s • f x) as bs) :
(Ideal.ofList as • ⊤ : Submodule R M).toAddSubgroup.map f =
(Ideal.ofList bs • ⊤ : Submodule S M₂).toAddSubgroup := by
induction h with
| nil =>
convert AddSubgroup.map_bot f using 1 <;>
rw [Ideal.ofList_nil, bot_smul, bot_toAddSubgroup]
| @cons r s _ _ h _ ih =>
conv => congr <;> rw [Ideal.ofList_cons, sup_smul, sup_toAddSubgroup,
ideal_span_singleton_smul, pointwise_smul_toAddSubgroup,
top_toAddSubgroup, pointwise_smul_def]
apply DFunLike.ext (f.comp (toAddMonoidEnd R M r))
((toAddMonoidEnd S M₂ s).comp f) at h
rw [AddSubgroup.map_sup, ih, map_map, h, ← map_map,
map_top_of_surjective f hf]
lemma _root_.AddEquiv.isWeaklyRegular_congr {e : M ≃+ M₂} {as bs}
(h : List.Forall₂ (fun (r : R) (s : S) => ∀ x, e (r • x) = s • e x) as bs) :
IsWeaklyRegular M as ↔ IsWeaklyRegular M₂ bs := by
conv => congr <;> rw [isWeaklyRegular_iff_Fin]
let e' i : (M ⧸ (Ideal.ofList (as.take i) • ⊤ : Submodule R M)) ≃+
M₂ ⧸ (Ideal.ofList (bs.take i) • ⊤ : Submodule S M₂) :=
QuotientAddGroup.congr _ _ e <|
AddHom.map_smul_top_toAddSubgroup_of_surjective e.surjective <|
List.forall₂_take i h
refine (finCongr h.length_eq).forall_congr @fun _ => (e' _).isSMulRegular_congr ?_
exact (mkQ_surjective _).forall.mpr fun _ => congrArg (mkQ _) (h.get _ _ _)
lemma _root_.LinearEquiv.isWeaklyRegular_congr' (e : M ≃ₛₗ[σ] M₂) (rs : List R) :
IsWeaklyRegular M rs ↔ IsWeaklyRegular M₂ (rs.map σ) :=
e.toAddEquiv.isWeaklyRegular_congr <| List.forall₂_map_right_iff.mpr <|
List.forall₂_same.mpr fun r _ x => e.map_smul' r x
lemma _root_.LinearEquiv.isWeaklyRegular_congr [Module R M₂] (e : M ≃ₗ[R] M₂) (rs : List R) :
IsWeaklyRegular M rs ↔ IsWeaklyRegular M₂ rs :=
Iff.trans (e.isWeaklyRegular_congr' rs) <| iff_of_eq <| congrArg _ rs.map_id
lemma _root_.AddEquiv.isRegular_congr {e : M ≃+ M₂} {as bs}
(h : List.Forall₂ (fun (r : R) (s : S) => ∀ x, e (r • x) = s • e x) as bs) :
IsRegular M as ↔ IsRegular M₂ bs := by
conv => congr <;> rw [isRegular_iff, ne_eq, eq_comm,
← subsingleton_quotient_iff_eq_top]
let e' := QuotientAddGroup.congr _ _ e <|
AddHom.map_smul_top_toAddSubgroup_of_surjective e.surjective h
exact and_congr (e.isWeaklyRegular_congr h) e'.subsingleton_congr.not
lemma _root_.LinearEquiv.isRegular_congr' (e : M ≃ₛₗ[σ] M₂) (rs : List R) :
IsRegular M rs ↔ IsRegular M₂ (rs.map σ) :=
e.toAddEquiv.isRegular_congr <| List.forall₂_map_right_iff.mpr <|
List.forall₂_same.mpr fun r _ x => e.map_smul' r x
lemma _root_.LinearEquiv.isRegular_congr [Module R M₂] (e : M ≃ₗ[R] M₂) (rs : List R) :
IsRegular M rs ↔ IsRegular M₂ rs :=
Iff.trans (e.isRegular_congr' rs) <| iff_of_eq <| congrArg _ rs.map_id
end Congr
lemma isWeaklyRegular_map_algebraMap_iff [CommRing R] [CommRing S]
[Algebra R S] [AddCommGroup M] [Module R M] [Module S M]
[IsScalarTower R S M] (rs : List R) :
IsWeaklyRegular M (rs.map (algebraMap R S)) ↔ IsWeaklyRegular M rs :=
(AddEquiv.refl M).isWeaklyRegular_congr <| List.forall₂_map_left_iff.mpr <|
List.forall₂_same.mpr fun r _ => algebraMap_smul S r
variable [CommRing R] [AddCommGroup M] [AddCommGroup M₂] [AddCommGroup M₃]
[AddCommGroup M₄] [Module R M] [Module R M₂] [Module R M₃] [Module R M₄]
@[simp]
lemma isWeaklyRegular_cons_iff (r : R) (rs : List R) :
IsWeaklyRegular M (r :: rs) ↔
IsSMulRegular M r ∧ IsWeaklyRegular (QuotSMulTop r M) rs :=
have := Eq.trans (congrArg (· • ⊤) Ideal.ofList_nil) (bot_smul ⊤)
let e i := quotOfListConsSMulTopEquivQuotSMulTopInner M r (rs.take i)
Iff.trans (isWeaklyRegular_iff_Fin _ _) <| Iff.trans Fin.forall_iff_succ <|
and_congr ((quotEquivOfEqBot _ this).isSMulRegular_congr r) <|
Iff.trans (forall_congr' fun i => (e i).isSMulRegular_congr (rs.get i))
(isWeaklyRegular_iff_Fin _ _).symm
lemma isWeaklyRegular_cons_iff' (r : R) (rs : List R) :
IsWeaklyRegular M (r :: rs) ↔
IsSMulRegular M r ∧
IsWeaklyRegular (QuotSMulTop r M)
(rs.map (Ideal.Quotient.mk (Ideal.span {r}))) :=
Iff.trans (isWeaklyRegular_cons_iff M r rs) <| and_congr_right' <|
Iff.symm <| isWeaklyRegular_map_algebraMap_iff (R ⧸ Ideal.span {r}) _ rs
@[simp]
lemma isRegular_cons_iff (r : R) (rs : List R) :
IsRegular M (r :: rs) ↔
IsSMulRegular M r ∧ IsRegular (QuotSMulTop r M) rs := by
rw [isRegular_iff, isRegular_iff, isWeaklyRegular_cons_iff M r rs,
ne_eq, top_eq_ofList_cons_smul_iff, and_assoc]
lemma isRegular_cons_iff' (r : R) (rs : List R) :
IsRegular M (r :: rs) ↔
IsSMulRegular M r ∧ IsRegular (QuotSMulTop r M)
(rs.map (Ideal.Quotient.mk (Ideal.span {r}))) := by
conv => congr <;> rw [isRegular_iff, ne_eq]
rw [isWeaklyRegular_cons_iff', ← restrictScalars_inj R (R ⧸ _),
← Ideal.map_ofList, ← Ideal.Quotient.algebraMap_eq, Ideal.smul_restrictScalars,
restrictScalars_top, top_eq_ofList_cons_smul_iff, and_assoc]
variable {M}
namespace IsWeaklyRegular
variable (R M) in
@[simp] lemma nil : IsWeaklyRegular M ([] : List R) :=
.mk (False.elim <| Nat.not_lt_zero · ·)
lemma cons {r : R} {rs : List R} (h1 : IsSMulRegular M r)
(h2 : IsWeaklyRegular (QuotSMulTop r M) rs) : IsWeaklyRegular M (r :: rs) :=
(isWeaklyRegular_cons_iff M r rs).mpr ⟨h1, h2⟩
lemma cons' {r : R} {rs : List R} (h1 : IsSMulRegular M r)
(h2 : IsWeaklyRegular (QuotSMulTop r M)
(rs.map (Ideal.Quotient.mk (Ideal.span {r})))) :
IsWeaklyRegular M (r :: rs) :=
(isWeaklyRegular_cons_iff' M r rs).mpr ⟨h1, h2⟩
/-- Weakly regular sequences can be inductively characterized by:
* The empty sequence is weakly regular on any module.
* If `r` is regular on `M` and `rs` is a weakly regular sequence on `M⧸rM` then
the sequence obtained from `rs` by prepending `r` is weakly regular on `M`.
This is the induction principle produced by the inductive definition above.
The motive will usually be valued in `Prop`, but `Sort*` works too. -/
@[induction_eliminator]
def recIterModByRegular
{motive : (M : Type v) → [AddCommGroup M] → [Module R M] → (rs : List R) →
IsWeaklyRegular M rs → Sort*}
(nil : (M : Type v) → [AddCommGroup M] → [Module R M] → motive M [] (nil R M))
(cons : {M : Type v} → [AddCommGroup M] → [Module R M] → (r : R) →
(rs : List R) → (h1 : IsSMulRegular M r) →
(h2 : IsWeaklyRegular (QuotSMulTop r M) rs) →
(ih : motive (QuotSMulTop r M) rs h2) → motive M (r :: rs) (cons h1 h2)) :
{M : Type v} → [AddCommGroup M] → [Module R M] → {rs : List R} →
(h : IsWeaklyRegular M rs) → motive M rs h
| M, _, _, [], _ => nil M
| M, _, _, r :: rs, h =>
let ⟨h1, h2⟩ := (isWeaklyRegular_cons_iff M r rs).mp h
cons r rs h1 h2 (recIterModByRegular nil cons h2)
/-- A simplified version of `IsWeaklyRegular.recIterModByRegular` where the
motive is not allowed to depend on the proof of `IsWeaklyRegular`. -/
def ndrecIterModByRegular
{motive : (M : Type v) → [AddCommGroup M] → [Module R M] → (rs : List R) → Sort*}
(nil : (M : Type v) → [AddCommGroup M] → [Module R M] → motive M [])
(cons : {M : Type v} → [AddCommGroup M] → [Module R M] → (r : R) →
(rs : List R) → IsSMulRegular M r → IsWeaklyRegular (QuotSMulTop r M) rs →
motive (QuotSMulTop r M) rs → motive M (r :: rs))
{M} [AddCommGroup M] [Module R M] {rs} :
IsWeaklyRegular M rs → motive M rs :=
recIterModByRegular (motive := fun M _ _ rs _ => motive M rs) nil cons
/-- An alternate induction principle from `IsWeaklyRegular.recIterModByRegular`
where we mod out by successive elements in both the module and the base ring.
This is useful for propagating certain properties of the initial `M`, e.g.
faithfulness or freeness, throughout the induction. -/
def recIterModByRegularWithRing
{motive : (R : Type u) → [CommRing R] → (M : Type v) → [AddCommGroup M] →
[Module R M] → (rs : List R) → IsWeaklyRegular M rs → Sort*}
(nil : (R : Type u) → [CommRing R] → (M : Type v) → [AddCommGroup M] →
[Module R M] → motive R M [] (nil R M))
(cons : {R : Type u} → [CommRing R] → {M : Type v} → [AddCommGroup M] →
[Module R M] → (r : R) → (rs : List R) → (h1 : IsSMulRegular M r) →
(h2 : IsWeaklyRegular (QuotSMulTop r M)
(rs.map (Ideal.Quotient.mk (Ideal.span {r})))) →
(ih : motive (R ⧸ Ideal.span {r}) (QuotSMulTop r M)
(rs.map (Ideal.Quotient.mk (Ideal.span {r}))) h2) →
motive R M (r :: rs) (cons' h1 h2)) :
{R : Type u} → [CommRing R] → {M : Type v} → [AddCommGroup M] →
[Module R M] → {rs : List R} → (h : IsWeaklyRegular M rs) → motive R M rs h
| R, _, M, _, _, [], _ => nil R M
| _, _, M, _, _, r :: rs, h =>
let ⟨h1, h2⟩ := (isWeaklyRegular_cons_iff' M r rs).mp h
cons r rs h1 h2 (recIterModByRegularWithRing nil cons h2)
termination_by _ _ _ _ _ rs => List.length rs
/-- A simplified version of `IsWeaklyRegular.recIterModByRegularWithRing` where
the motive is not allowed to depend on the proof of `IsWeaklyRegular`. -/
def ndrecWithRing
{motive : (R : Type u) → [CommRing R] → (M : Type v) →
[AddCommGroup M] → [Module R M] → (rs : List R) → Sort*}
(nil : (R : Type u) → [CommRing R] → (M : Type v) →
[AddCommGroup M] → [Module R M] → motive R M [])
(cons : {R : Type u} → [CommRing R] → {M : Type v} → [AddCommGroup M] →
[Module R M] → (r : R) → (rs : List R) → IsSMulRegular M r →
IsWeaklyRegular (QuotSMulTop r M)
(rs.map (Ideal.Quotient.mk (Ideal.span {r}))) →
motive (R ⧸ Ideal.span {r}) (QuotSMulTop r M)
(rs.map (Ideal.Quotient.mk (Ideal.span {r}))) → motive R M (r :: rs))
{R} [CommRing R] {M} [AddCommGroup M] [Module R M] {rs} :
IsWeaklyRegular M rs → motive R M rs :=
recIterModByRegularWithRing (motive := fun R _ M _ _ rs _ => motive R M rs)
nil cons
end IsWeaklyRegular
section
variable (M)
lemma isWeaklyRegular_singleton_iff (r : R) :
IsWeaklyRegular M [r] ↔ IsSMulRegular M r :=
Iff.trans (isWeaklyRegular_cons_iff M r []) (and_iff_left (.nil R _))
lemma isWeaklyRegular_append_iff (rs₁ rs₂ : List R) :
IsWeaklyRegular M (rs₁ ++ rs₂) ↔
IsWeaklyRegular M rs₁ ∧
IsWeaklyRegular (M ⧸ (Ideal.ofList rs₁ • ⊤ : Submodule R M)) rs₂ := by
induction rs₁ generalizing M with
| nil =>
refine Iff.symm <| Iff.trans (and_iff_right (.nil R M)) ?_
refine (quotEquivOfEqBot _ ?_).isWeaklyRegular_congr rs₂
rw [Ideal.ofList_nil, bot_smul]
| cons r rs₁ ih =>
let e := quotOfListConsSMulTopEquivQuotSMulTopInner M r rs₁
rw [List.cons_append, isWeaklyRegular_cons_iff, isWeaklyRegular_cons_iff,
ih, ← and_assoc, ← e.isWeaklyRegular_congr rs₂]
lemma isWeaklyRegular_append_iff' (rs₁ rs₂ : List R) :
IsWeaklyRegular M (rs₁ ++ rs₂) ↔
IsWeaklyRegular M rs₁ ∧
IsWeaklyRegular (M ⧸ (Ideal.ofList rs₁ • ⊤ : Submodule R M))
(rs₂.map (Ideal.Quotient.mk (Ideal.ofList rs₁))) :=
Iff.trans (isWeaklyRegular_append_iff M rs₁ rs₂) <| and_congr_right' <|
Iff.symm <| isWeaklyRegular_map_algebraMap_iff (R ⧸ Ideal.ofList rs₁) _ rs₂
end
namespace IsRegular
variable (R M) in
lemma nil [Nontrivial M] : IsRegular M ([] : List R) where
toIsWeaklyRegular := IsWeaklyRegular.nil R M
top_ne_smul h := by
rw [Ideal.ofList_nil, bot_smul, eq_comm, subsingleton_iff_bot_eq_top] at h
exact not_subsingleton M ((Submodule.subsingleton_iff _).mp h)
lemma cons {r : R} {rs : List R} (h1 : IsSMulRegular M r)
(h2 : IsRegular (QuotSMulTop r M) rs) : IsRegular M (r :: rs) :=
(isRegular_cons_iff M r rs).mpr ⟨h1, h2⟩
lemma cons' {r : R} {rs : List R} (h1 : IsSMulRegular M r)
(h2 : IsRegular (QuotSMulTop r M) (rs.map (Ideal.Quotient.mk (Ideal.span {r})))) :
IsRegular M (r :: rs) :=
(isRegular_cons_iff' M r rs).mpr ⟨h1, h2⟩
/-- Regular sequences can be inductively characterized by:
* The empty sequence is regular on any nonzero module.
* If `r` is regular on `M` and `rs` is a regular sequence on `M⧸rM` then the
sequence obtained from `rs` by prepending `r` is regular on `M`.
This is the induction principle produced by the inductive definition above.
The motive will usually be valued in `Prop`, but `Sort*` works too. -/
@[induction_eliminator]
def recIterModByRegular
{motive : (M : Type v) → [AddCommGroup M] → [Module R M] → (rs : List R) →
IsRegular M rs → Sort*}
(nil : (M : Type v) → [AddCommGroup M] → [Module R M] → [Nontrivial M] →
motive M [] (nil R M))
(cons : {M : Type v} → [AddCommGroup M] → [Module R M] → (r : R) →
(rs : List R) → (h1 : IsSMulRegular M r) → (h2 : IsRegular (QuotSMulTop r M) rs) →
(ih : motive (QuotSMulTop r M) rs h2) → motive M (r :: rs) (cons h1 h2))
{M} [AddCommGroup M] [Module R M] {rs} (h : IsRegular M rs) : motive M rs h :=
h.toIsWeaklyRegular.recIterModByRegular
(motive := fun N _ _ rs' h' => ∀ h'', motive N rs' ⟨h', h''⟩)
(fun N _ _ h' =>
haveI := (nontrivial_iff R).mp (nontrivial_of_ne _ _ h'); nil N)
(fun r rs' h1 h2 h3 h4 =>
have ⟨h5, h6⟩ := (isRegular_cons_iff _ _ _).mp ⟨h2.cons h1, h4⟩
cons r rs' h5 h6 (h3 h6.top_ne_smul))
h.top_ne_smul
/-- A simplified version of `IsRegular.recIterModByRegular` where the motive is
not allowed to depend on the proof of `IsRegular`. -/
def ndrecIterModByRegular
{motive : (M : Type v) → [AddCommGroup M] → [Module R M] → (rs : List R) → Sort*}
(nil : (M : Type v) → [AddCommGroup M] → [Module R M] → [Nontrivial M] → motive M [])
(cons : {M : Type v} → [AddCommGroup M] → [Module R M] → (r : R) →
(rs : List R) → IsSMulRegular M r → IsRegular (QuotSMulTop r M) rs →
motive (QuotSMulTop r M) rs → motive M (r :: rs))
{M} [AddCommGroup M] [Module R M] {rs} : IsRegular M rs → motive M rs :=
recIterModByRegular (motive := fun M _ _ rs _ => motive M rs) nil cons
/-- An alternate induction principle from `IsRegular.recIterModByRegular` where
we mod out by successive elements in both the module and the base ring. This is
useful for propagating certain properties of the initial `M`, e.g. faithfulness
or freeness, throughout the induction. -/
def recIterModByRegularWithRing
{motive : (R : Type u) → [CommRing R] → (M : Type v) → [AddCommGroup M] →
[Module R M] → (rs : List R) → IsRegular M rs → Sort*}
(nil : (R : Type u) → [CommRing R] → (M : Type v) → [AddCommGroup M] →
[Module R M] → [Nontrivial M] → motive R M [] (nil R M))
(cons : {R : Type u} → [CommRing R] → {M : Type v} → [AddCommGroup M] →
[Module R M] → (r : R) → (rs : List R) → (h1 : IsSMulRegular M r) →
(h2 : IsRegular (QuotSMulTop r M)
(rs.map (Ideal.Quotient.mk (Ideal.span {r})))) →
(ih : motive (R ⧸ Ideal.span {r}) (QuotSMulTop r M)
(rs.map (Ideal.Quotient.mk (Ideal.span {r}))) h2) →
motive R M (r :: rs) (cons' h1 h2))
{R} [CommRing R] {M} [AddCommGroup M] [Module R M] {rs}
(h : IsRegular M rs) : motive R M rs h :=
h.toIsWeaklyRegular.recIterModByRegularWithRing
(motive := fun R _ N _ _ rs' h' => ∀ h'', motive R N rs' ⟨h', h''⟩)
(fun R _ N _ _ h' =>
haveI := (nontrivial_iff R).mp (nontrivial_of_ne _ _ h'); nil R N)
(fun r rs' h1 h2 h3 h4 =>
have ⟨h5, h6⟩ := (isRegular_cons_iff' _ _ _).mp ⟨h2.cons' h1, h4⟩
cons r rs' h5 h6 <| h3 h6.top_ne_smul)
h.top_ne_smul
/-- A simplified version of `IsRegular.recIterModByRegularWithRing` where the
motive is not allowed to depend on the proof of `IsRegular`. -/
def ndrecIterModByRegularWithRing
{motive : (R : Type u) → [CommRing R] → (M : Type v) →
[AddCommGroup M] → [Module R M] → (rs : List R) → Sort*}
(nil : (R : Type u) → [CommRing R] → (M : Type v) →
[AddCommGroup M] → [Module R M] → [Nontrivial M] → motive R M [])
(cons : {R : Type u} → [CommRing R] → {M : Type v} →
[AddCommGroup M] → [Module R M] → (r : R) → (rs : List R) →
IsSMulRegular M r →
IsRegular (QuotSMulTop r M)
(rs.map (Ideal.Quotient.mk (Ideal.span {r}))) →
motive (R ⧸ Ideal.span {r}) (QuotSMulTop r M)
(rs.map (Ideal.Quotient.mk (Ideal.span {r}))) →
motive R M (r :: rs))
{R} [CommRing R] {M} [AddCommGroup M] [Module R M] {rs} :
IsRegular M rs → motive R M rs :=
recIterModByRegularWithRing (motive := fun R _ M _ _ rs _ => motive R M rs)
nil cons
lemma quot_ofList_smul_nontrivial {rs : List R} (h : IsRegular M rs)
(N : Submodule R M) : Nontrivial (M ⧸ Ideal.ofList rs • N) :=
Submodule.Quotient.nontrivial_of_lt_top _ <|
lt_of_le_of_lt (smul_mono_right _ le_top) h.top_ne_smul.symm.lt_top
lemma nontrivial {rs : List R} (h : IsRegular M rs) : Nontrivial M :=
haveI := quot_ofList_smul_nontrivial h ⊤
(mkQ_surjective (Ideal.ofList rs • ⊤ : Submodule R M)).nontrivial
end IsRegular
lemma isRegular_iff_isWeaklyRegular_of_subset_jacobson_annihilator
[Nontrivial M] [Module.Finite R M] {rs : List R}
(h : ∀ r ∈ rs, r ∈ Ideal.jacobson (Module.annihilator R M)) :
IsRegular M rs ↔ IsWeaklyRegular M rs :=
Iff.trans (isRegular_iff M rs) <| and_iff_left <|
top_ne_ideal_smul_of_le_jacobson_annihilator <| Ideal.span_le.mpr h
lemma _root_.IsLocalRing.isRegular_iff_isWeaklyRegular_of_subset_maximalIdeal
[IsLocalRing R] [Nontrivial M] [Module.Finite R M] {rs : List R}
(h : ∀ r ∈ rs, r ∈ IsLocalRing.maximalIdeal R) :
IsRegular M rs ↔ IsWeaklyRegular M rs :=
have H h' := bot_ne_top.symm <| annihilator_eq_top_iff.mp <|
Eq.trans annihilator_top h'
isRegular_iff_isWeaklyRegular_of_subset_jacobson_annihilator fun r hr =>
IsLocalRing.jacobson_eq_maximalIdeal (Module.annihilator R M) H ▸ h r hr
|
open IsWeaklyRegular IsArtinian in
lemma eq_nil_of_isRegular_on_artinian [IsArtinian R M] :
{rs : List R} → IsRegular M rs → rs = []
| [], _ => rfl
| r :: rs, h => by
rw [isRegular_iff, ne_comm, ← lt_top_iff_ne_top, Ideal.ofList_cons,
sup_smul, ideal_span_singleton_smul, isWeaklyRegular_cons_iff] at h
refine absurd ?_ (ne_of_lt (lt_of_le_of_lt le_sup_left h.right))
| Mathlib/RingTheory/Regular/RegularSequence.lean | 523 | 531 |
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Abhimanyu Pallavi Sudhir
-/
import Mathlib.Algebra.CharP.Defs
import Mathlib.Algebra.Order.CauSeq.BigOperators
import Mathlib.Algebra.Order.Star.Basic
import Mathlib.Data.Complex.BigOperators
import Mathlib.Data.Complex.Norm
import Mathlib.Data.Nat.Choose.Sum
/-!
# Exponential Function
This file contains the definitions of the real and complex exponential function.
## Main definitions
* `Complex.exp`: The complex exponential function, defined via its Taylor series
* `Real.exp`: The real exponential function, defined as the real part of the complex exponential
-/
open CauSeq Finset IsAbsoluteValue
open scoped ComplexConjugate
namespace Complex
theorem isCauSeq_norm_exp (z : ℂ) :
IsCauSeq abs fun n => ∑ m ∈ range n, ‖z ^ m / m.factorial‖ :=
let ⟨n, hn⟩ := exists_nat_gt ‖z‖
have hn0 : (0 : ℝ) < n := lt_of_le_of_lt (norm_nonneg _) hn
IsCauSeq.series_ratio_test n (‖z‖ / n) (div_nonneg (norm_nonneg _) (le_of_lt hn0))
(by rwa [div_lt_iff₀ hn0, one_mul]) fun m hm => by
rw [abs_norm, abs_norm, Nat.factorial_succ, pow_succ', mul_comm m.succ, Nat.cast_mul,
← div_div, mul_div_assoc, mul_div_right_comm, Complex.norm_mul, Complex.norm_div,
norm_natCast]
gcongr
exact le_trans hm (Nat.le_succ _)
@[deprecated (since := "2025-02-16")] alias isCauSeq_abs_exp := isCauSeq_norm_exp
noncomputable section
theorem isCauSeq_exp (z : ℂ) : IsCauSeq (‖·‖) fun n => ∑ m ∈ range n, z ^ m / m.factorial :=
(isCauSeq_norm_exp z).of_abv
/-- The Cauchy sequence consisting of partial sums of the Taylor series of
the complex exponential function -/
@[pp_nodot]
def exp' (z : ℂ) : CauSeq ℂ (‖·‖) :=
⟨fun n => ∑ m ∈ range n, z ^ m / m.factorial, isCauSeq_exp z⟩
/-- The complex exponential function, defined via its Taylor series -/
@[pp_nodot]
def exp (z : ℂ) : ℂ :=
CauSeq.lim (exp' z)
/-- scoped notation for the complex exponential function -/
scoped notation "cexp" => Complex.exp
end
end Complex
namespace Real
open Complex
noncomputable section
/-- The real exponential function, defined as the real part of the complex exponential -/
@[pp_nodot]
nonrec def exp (x : ℝ) : ℝ :=
(exp x).re
/-- scoped notation for the real exponential function -/
scoped notation "rexp" => Real.exp
end
end Real
namespace Complex
variable (x y : ℂ)
@[simp]
theorem exp_zero : exp 0 = 1 := by
rw [exp]
refine lim_eq_of_equiv_const fun ε ε0 => ⟨1, fun j hj => ?_⟩
convert (config := .unfoldSameFun) ε0 -- ε0 : ε > 0 but goal is _ < ε
rcases j with - | j
· exact absurd hj (not_le_of_gt zero_lt_one)
· dsimp [exp']
induction' j with j ih
· dsimp [exp']; simp [show Nat.succ 0 = 1 from rfl]
· rw [← ih (by simp [Nat.succ_le_succ])]
simp only [sum_range_succ, pow_succ]
simp
theorem exp_add : exp (x + y) = exp x * exp y := by
have hj : ∀ j : ℕ, (∑ m ∈ range j, (x + y) ^ m / m.factorial) =
∑ i ∈ range j, ∑ k ∈ range (i + 1), x ^ k / k.factorial *
(y ^ (i - k) / (i - k).factorial) := by
intro j
refine Finset.sum_congr rfl fun m _ => ?_
rw [add_pow, div_eq_mul_inv, sum_mul]
refine Finset.sum_congr rfl fun I hi => ?_
have h₁ : (m.choose I : ℂ) ≠ 0 :=
Nat.cast_ne_zero.2 (pos_iff_ne_zero.1 (Nat.choose_pos (Nat.le_of_lt_succ (mem_range.1 hi))))
have h₂ := Nat.choose_mul_factorial_mul_factorial (Nat.le_of_lt_succ <| Finset.mem_range.1 hi)
rw [← h₂, Nat.cast_mul, Nat.cast_mul, mul_inv, mul_inv]
simp only [mul_left_comm (m.choose I : ℂ), mul_assoc, mul_left_comm (m.choose I : ℂ)⁻¹,
mul_comm (m.choose I : ℂ)]
rw [inv_mul_cancel₀ h₁]
simp [div_eq_mul_inv, mul_comm, mul_assoc, mul_left_comm]
simp_rw [exp, exp', lim_mul_lim]
apply (lim_eq_lim_of_equiv _).symm
simp only [hj]
exact cauchy_product (isCauSeq_norm_exp x) (isCauSeq_exp y)
/-- the exponential function as a monoid hom from `Multiplicative ℂ` to `ℂ` -/
@[simps]
noncomputable def expMonoidHom : MonoidHom (Multiplicative ℂ) ℂ :=
{ toFun := fun z => exp z.toAdd,
map_one' := by simp,
map_mul' := by simp [exp_add] }
theorem exp_list_sum (l : List ℂ) : exp l.sum = (l.map exp).prod :=
map_list_prod (M := Multiplicative ℂ) expMonoidHom l
theorem exp_multiset_sum (s : Multiset ℂ) : exp s.sum = (s.map exp).prod :=
@MonoidHom.map_multiset_prod (Multiplicative ℂ) ℂ _ _ expMonoidHom s
theorem exp_sum {α : Type*} (s : Finset α) (f : α → ℂ) :
exp (∑ x ∈ s, f x) = ∏ x ∈ s, exp (f x) :=
map_prod (β := Multiplicative ℂ) expMonoidHom f s
lemma exp_nsmul (x : ℂ) (n : ℕ) : exp (n • x) = exp x ^ n :=
@MonoidHom.map_pow (Multiplicative ℂ) ℂ _ _ expMonoidHom _ _
theorem exp_nat_mul (x : ℂ) : ∀ n : ℕ, exp (n * x) = exp x ^ n
| 0 => by rw [Nat.cast_zero, zero_mul, exp_zero, pow_zero]
| Nat.succ n => by rw [pow_succ, Nat.cast_add_one, add_mul, exp_add, ← exp_nat_mul _ n, one_mul]
@[simp]
theorem exp_ne_zero : exp x ≠ 0 := fun h =>
zero_ne_one (α := ℂ) <| by rw [← exp_zero, ← add_neg_cancel x, exp_add, h]; simp
theorem exp_neg : exp (-x) = (exp x)⁻¹ := by
rw [← mul_right_inj' (exp_ne_zero x), ← exp_add]; simp [mul_inv_cancel₀ (exp_ne_zero x)]
theorem exp_sub : exp (x - y) = exp x / exp y := by
simp [sub_eq_add_neg, exp_add, exp_neg, div_eq_mul_inv]
theorem exp_int_mul (z : ℂ) (n : ℤ) : Complex.exp (n * z) = Complex.exp z ^ n := by
cases n
· simp [exp_nat_mul]
· simp [exp_add, add_mul, pow_add, exp_neg, exp_nat_mul]
@[simp]
theorem exp_conj : exp (conj x) = conj (exp x) := by
dsimp [exp]
rw [← lim_conj]
refine congr_arg CauSeq.lim (CauSeq.ext fun _ => ?_)
dsimp [exp', Function.comp_def, cauSeqConj]
rw [map_sum (starRingEnd _)]
refine sum_congr rfl fun n _ => ?_
rw [map_div₀, map_pow, ← ofReal_natCast, conj_ofReal]
@[simp]
theorem ofReal_exp_ofReal_re (x : ℝ) : ((exp x).re : ℂ) = exp x :=
conj_eq_iff_re.1 <| by rw [← exp_conj, conj_ofReal]
@[simp, norm_cast]
theorem ofReal_exp (x : ℝ) : (Real.exp x : ℂ) = exp x :=
ofReal_exp_ofReal_re _
@[simp]
theorem exp_ofReal_im (x : ℝ) : (exp x).im = 0 := by rw [← ofReal_exp_ofReal_re, ofReal_im]
theorem exp_ofReal_re (x : ℝ) : (exp x).re = Real.exp x :=
rfl
end Complex
namespace Real
open Complex
variable (x y : ℝ)
@[simp]
theorem exp_zero : exp 0 = 1 := by simp [Real.exp]
nonrec theorem exp_add : exp (x + y) = exp x * exp y := by simp [exp_add, exp]
/-- the exponential function as a monoid hom from `Multiplicative ℝ` to `ℝ` -/
@[simps]
noncomputable def expMonoidHom : MonoidHom (Multiplicative ℝ) ℝ :=
{ toFun := fun x => exp x.toAdd,
map_one' := by simp,
map_mul' := by simp [exp_add] }
theorem exp_list_sum (l : List ℝ) : exp l.sum = (l.map exp).prod :=
map_list_prod (M := Multiplicative ℝ) expMonoidHom l
theorem exp_multiset_sum (s : Multiset ℝ) : exp s.sum = (s.map exp).prod :=
@MonoidHom.map_multiset_prod (Multiplicative ℝ) ℝ _ _ expMonoidHom s
theorem exp_sum {α : Type*} (s : Finset α) (f : α → ℝ) :
exp (∑ x ∈ s, f x) = ∏ x ∈ s, exp (f x) :=
map_prod (β := Multiplicative ℝ) expMonoidHom f s
lemma exp_nsmul (x : ℝ) (n : ℕ) : exp (n • x) = exp x ^ n :=
@MonoidHom.map_pow (Multiplicative ℝ) ℝ _ _ expMonoidHom _ _
nonrec theorem exp_nat_mul (x : ℝ) (n : ℕ) : exp (n * x) = exp x ^ n :=
ofReal_injective (by simp [exp_nat_mul])
@[simp]
nonrec theorem exp_ne_zero : exp x ≠ 0 := fun h =>
exp_ne_zero x <| by rw [exp, ← ofReal_inj] at h; simp_all
nonrec theorem exp_neg : exp (-x) = (exp x)⁻¹ :=
ofReal_injective <| by simp [exp_neg]
theorem exp_sub : exp (x - y) = exp x / exp y := by
simp [sub_eq_add_neg, exp_add, exp_neg, div_eq_mul_inv]
open IsAbsoluteValue Nat
theorem sum_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) (n : ℕ) : ∑ i ∈ range n, x ^ i / i ! ≤ exp x :=
calc
∑ i ∈ range n, x ^ i / i ! ≤ lim (⟨_, isCauSeq_re (exp' x)⟩ : CauSeq ℝ abs) := by
refine le_lim (CauSeq.le_of_exists ⟨n, fun j hj => ?_⟩)
simp only [exp', const_apply, re_sum]
norm_cast
refine sum_le_sum_of_subset_of_nonneg (range_mono hj) fun _ _ _ ↦ ?_
positivity
_ = exp x := by rw [exp, Complex.exp, ← cauSeqRe, lim_re]
lemma pow_div_factorial_le_exp (hx : 0 ≤ x) (n : ℕ) : x ^ n / n ! ≤ exp x :=
calc
x ^ n / n ! ≤ ∑ k ∈ range (n + 1), x ^ k / k ! :=
single_le_sum (f := fun k ↦ x ^ k / k !) (fun k _ ↦ by positivity) (self_mem_range_succ n)
_ ≤ exp x := sum_le_exp_of_nonneg hx _
theorem quadratic_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) : 1 + x + x ^ 2 / 2 ≤ exp x :=
calc
1 + x + x ^ 2 / 2 = ∑ i ∈ range 3, x ^ i / i ! := by
simp only [sum_range_succ, range_one, sum_singleton, _root_.pow_zero, factorial, cast_one,
ne_eq, one_ne_zero, not_false_eq_true, div_self, pow_one, mul_one, div_one, Nat.mul_one,
cast_succ, add_right_inj]
ring_nf
_ ≤ exp x := sum_le_exp_of_nonneg hx 3
private theorem add_one_lt_exp_of_pos {x : ℝ} (hx : 0 < x) : x + 1 < exp x :=
(by nlinarith : x + 1 < 1 + x + x ^ 2 / 2).trans_le (quadratic_le_exp_of_nonneg hx.le)
private theorem add_one_le_exp_of_nonneg {x : ℝ} (hx : 0 ≤ x) : x + 1 ≤ exp x := by
| rcases eq_or_lt_of_le hx with (rfl | h)
· simp
| Mathlib/Data/Complex/Exponential.lean | 265 | 266 |
/-
Copyright (c) 2021 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Data.Finset.Preimage
import Mathlib.Data.Finset.Prod
import Mathlib.Order.Hom.WithTopBot
import Mathlib.Order.Interval.Set.UnorderedInterval
/-!
# Locally finite orders
This file defines locally finite orders.
A locally finite order is an order for which all bounded intervals are finite. This allows to make
sense of `Icc`/`Ico`/`Ioc`/`Ioo` as lists, multisets, or finsets.
Further, if the order is bounded above (resp. below), then we can also make sense of the
"unbounded" intervals `Ici`/`Ioi` (resp. `Iic`/`Iio`).
Many theorems about these intervals can be found in `Mathlib.Order.Interval.Finset.Basic`.
## Examples
Naturally occurring locally finite orders are `ℕ`, `ℤ`, `ℕ+`, `Fin n`, `α × β` the product of two
locally finite orders, `α →₀ β` the finitely supported functions to a locally finite order `β`...
## Main declarations
In a `LocallyFiniteOrder`,
* `Finset.Icc`: Closed-closed interval as a finset.
* `Finset.Ico`: Closed-open interval as a finset.
* `Finset.Ioc`: Open-closed interval as a finset.
* `Finset.Ioo`: Open-open interval as a finset.
* `Finset.uIcc`: Unordered closed interval as a finset.
In a `LocallyFiniteOrderTop`,
* `Finset.Ici`: Closed-infinite interval as a finset.
* `Finset.Ioi`: Open-infinite interval as a finset.
In a `LocallyFiniteOrderBot`,
* `Finset.Iic`: Infinite-open interval as a finset.
* `Finset.Iio`: Infinite-closed interval as a finset.
## Instances
A `LocallyFiniteOrder` instance can be built
* for a subtype of a locally finite order. See `Subtype.locallyFiniteOrder`.
* for the product of two locally finite orders. See `Prod.locallyFiniteOrder`.
* for any fintype (but not as an instance). See `Fintype.toLocallyFiniteOrder`.
* from a definition of `Finset.Icc` alone. See `LocallyFiniteOrder.ofIcc`.
* by pulling back `LocallyFiniteOrder β` through an order embedding `f : α →o β`. See
`OrderEmbedding.locallyFiniteOrder`.
Instances for concrete types are proved in their respective files:
* `ℕ` is in `Order.Interval.Finset.Nat`
* `ℤ` is in `Data.Int.Interval`
* `ℕ+` is in `Data.PNat.Interval`
* `Fin n` is in `Order.Interval.Finset.Fin`
* `Finset α` is in `Data.Finset.Interval`
* `Σ i, α i` is in `Data.Sigma.Interval`
Along, you will find lemmas about the cardinality of those finite intervals.
## TODO
Provide the `LocallyFiniteOrder` instance for `α ×ₗ β` where `LocallyFiniteOrder α` and
`Fintype β`.
Provide the `LocallyFiniteOrder` instance for `α →₀ β` where `β` is locally finite. Provide the
`LocallyFiniteOrder` instance for `Π₀ i, β i` where all the `β i` are locally finite.
From `LinearOrder α`, `NoMaxOrder α`, `LocallyFiniteOrder α`, we can also define an
order isomorphism `α ≃ ℕ` or `α ≃ ℤ`, depending on whether we have `OrderBot α` or
`NoMinOrder α` and `Nonempty α`. When `OrderBot α`, we can match `a : α` to `#(Iio a)`.
We can provide `SuccOrder α` from `LinearOrder α` and `LocallyFiniteOrder α` using
```lean
lemma exists_min_greater [LinearOrder α] [LocallyFiniteOrder α] {x ub : α} (hx : x < ub) :
∃ lub, x < lub ∧ ∀ y, x < y → lub ≤ y := by
-- very non golfed
have h : (Finset.Ioc x ub).Nonempty := ⟨ub, Finset.mem_Ioc.2 ⟨hx, le_rfl⟩⟩
use Finset.min' (Finset.Ioc x ub) h
constructor
· exact (Finset.mem_Ioc.mp <| Finset.min'_mem _ h).1
rintro y hxy
obtain hy | hy := le_total y ub
· refine Finset.min'_le (Ioc x ub) y ?_
simp [*] at *
· exact (Finset.min'_le _ _ (Finset.mem_Ioc.2 ⟨hx, le_rfl⟩)).trans hy
```
Note that the converse is not true. Consider `{-2^z | z : ℤ} ∪ {2^z | z : ℤ}`. Any element has a
successor (and actually a predecessor as well), so it is a `SuccOrder`, but it's not locally finite
as `Icc (-1) 1` is infinite.
-/
open Finset Function
/-- This is a mixin class describing a locally finite order,
that is, is an order where bounded intervals are finite.
When you don't care too much about definitional equality, you can use `LocallyFiniteOrder.ofIcc` or
`LocallyFiniteOrder.ofFiniteIcc` to build a locally finite order from just `Finset.Icc`. -/
class LocallyFiniteOrder (α : Type*) [Preorder α] where
/-- Left-closed right-closed interval -/
finsetIcc : α → α → Finset α
/-- Left-closed right-open interval -/
finsetIco : α → α → Finset α
/-- Left-open right-closed interval -/
finsetIoc : α → α → Finset α
/-- Left-open right-open interval -/
finsetIoo : α → α → Finset α
/-- `x ∈ finsetIcc a b ↔ a ≤ x ∧ x ≤ b` -/
finset_mem_Icc : ∀ a b x : α, x ∈ finsetIcc a b ↔ a ≤ x ∧ x ≤ b
/-- `x ∈ finsetIco a b ↔ a ≤ x ∧ x < b` -/
finset_mem_Ico : ∀ a b x : α, x ∈ finsetIco a b ↔ a ≤ x ∧ x < b
/-- `x ∈ finsetIoc a b ↔ a < x ∧ x ≤ b` -/
finset_mem_Ioc : ∀ a b x : α, x ∈ finsetIoc a b ↔ a < x ∧ x ≤ b
/-- `x ∈ finsetIoo a b ↔ a < x ∧ x < b` -/
finset_mem_Ioo : ∀ a b x : α, x ∈ finsetIoo a b ↔ a < x ∧ x < b
/-- This mixin class describes an order where all intervals bounded below are finite. This is
slightly weaker than `LocallyFiniteOrder` + `OrderTop` as it allows empty types. -/
class LocallyFiniteOrderTop (α : Type*) [Preorder α] where
/-- Left-open right-infinite interval -/
finsetIoi : α → Finset α
/-- Left-closed right-infinite interval -/
finsetIci : α → Finset α
/-- `x ∈ finsetIci a ↔ a ≤ x` -/
finset_mem_Ici : ∀ a x : α, x ∈ finsetIci a ↔ a ≤ x
/-- `x ∈ finsetIoi a ↔ a < x` -/
finset_mem_Ioi : ∀ a x : α, x ∈ finsetIoi a ↔ a < x
/-- This mixin class describes an order where all intervals bounded above are finite. This is
slightly weaker than `LocallyFiniteOrder` + `OrderBot` as it allows empty types. -/
class LocallyFiniteOrderBot (α : Type*) [Preorder α] where
/-- Left-infinite right-open interval -/
finsetIio : α → Finset α
/-- Left-infinite right-closed interval -/
finsetIic : α → Finset α
/-- `x ∈ finsetIic a ↔ x ≤ a` -/
finset_mem_Iic : ∀ a x : α, x ∈ finsetIic a ↔ x ≤ a
/-- `x ∈ finsetIio a ↔ x < a` -/
finset_mem_Iio : ∀ a x : α, x ∈ finsetIio a ↔ x < a
/-- A constructor from a definition of `Finset.Icc` alone, the other ones being derived by removing
the ends. As opposed to `LocallyFiniteOrder.ofIcc`, this one requires `DecidableLE` but
only `Preorder`. -/
def LocallyFiniteOrder.ofIcc' (α : Type*) [Preorder α] [DecidableLE α]
(finsetIcc : α → α → Finset α) (mem_Icc : ∀ a b x, x ∈ finsetIcc a b ↔ a ≤ x ∧ x ≤ b) :
LocallyFiniteOrder α where
finsetIcc := finsetIcc
finsetIco a b := {x ∈ finsetIcc a b | ¬b ≤ x}
finsetIoc a b := {x ∈ finsetIcc a b | ¬x ≤ a}
finsetIoo a b := {x ∈ finsetIcc a b | ¬x ≤ a ∧ ¬b ≤ x}
finset_mem_Icc := mem_Icc
finset_mem_Ico a b x := by rw [Finset.mem_filter, mem_Icc, and_assoc, lt_iff_le_not_le]
finset_mem_Ioc a b x := by rw [Finset.mem_filter, mem_Icc, and_right_comm, lt_iff_le_not_le]
finset_mem_Ioo a b x := by
rw [Finset.mem_filter, mem_Icc, and_and_and_comm, lt_iff_le_not_le, lt_iff_le_not_le]
/-- A constructor from a definition of `Finset.Icc` alone, the other ones being derived by removing
the ends. As opposed to `LocallyFiniteOrder.ofIcc'`, this one requires `PartialOrder` but only
`DecidableEq`. -/
def LocallyFiniteOrder.ofIcc (α : Type*) [PartialOrder α] [DecidableEq α]
(finsetIcc : α → α → Finset α) (mem_Icc : ∀ a b x, x ∈ finsetIcc a b ↔ a ≤ x ∧ x ≤ b) :
LocallyFiniteOrder α where
finsetIcc := finsetIcc
finsetIco a b := {x ∈ finsetIcc a b | x ≠ b}
finsetIoc a b := {x ∈ finsetIcc a b | a ≠ x}
finsetIoo a b := {x ∈ finsetIcc a b | a ≠ x ∧ x ≠ b}
finset_mem_Icc := mem_Icc
finset_mem_Ico a b x := by rw [Finset.mem_filter, mem_Icc, and_assoc, lt_iff_le_and_ne]
finset_mem_Ioc a b x := by rw [Finset.mem_filter, mem_Icc, and_right_comm, lt_iff_le_and_ne]
finset_mem_Ioo a b x := by
rw [Finset.mem_filter, mem_Icc, and_and_and_comm, lt_iff_le_and_ne, lt_iff_le_and_ne]
/-- A constructor from a definition of `Finset.Ici` alone, the other ones being derived by removing
the ends. As opposed to `LocallyFiniteOrderTop.ofIci`, this one requires `DecidableLE` but
only `Preorder`. -/
def LocallyFiniteOrderTop.ofIci' (α : Type*) [Preorder α] [DecidableLE α]
(finsetIci : α → Finset α) (mem_Ici : ∀ a x, x ∈ finsetIci a ↔ a ≤ x) :
LocallyFiniteOrderTop α where
finsetIci := finsetIci
finsetIoi a := {x ∈ finsetIci a | ¬x ≤ a}
finset_mem_Ici := mem_Ici
finset_mem_Ioi a x := by rw [mem_filter, mem_Ici, lt_iff_le_not_le]
/-- A constructor from a definition of `Finset.Ici` alone, the other ones being derived by removing
the ends. As opposed to `LocallyFiniteOrderTop.ofIci'`, this one requires `PartialOrder` but
only `DecidableEq`. -/
def LocallyFiniteOrderTop.ofIci (α : Type*) [PartialOrder α] [DecidableEq α]
(finsetIci : α → Finset α) (mem_Ici : ∀ a x, x ∈ finsetIci a ↔ a ≤ x) :
LocallyFiniteOrderTop α where
finsetIci := finsetIci
finsetIoi a := {x ∈ finsetIci a | a ≠ x}
finset_mem_Ici := mem_Ici
finset_mem_Ioi a x := by rw [mem_filter, mem_Ici, lt_iff_le_and_ne]
/-- A constructor from a definition of `Finset.Iic` alone, the other ones being derived by removing
the ends. As opposed to `LocallyFiniteOrderBot.ofIic`, this one requires `DecidableLE` but
only `Preorder`. -/
def LocallyFiniteOrderBot.ofIic' (α : Type*) [Preorder α] [DecidableLE α]
(finsetIic : α → Finset α) (mem_Iic : ∀ a x, x ∈ finsetIic a ↔ x ≤ a) :
LocallyFiniteOrderBot α where
finsetIic := finsetIic
finsetIio a := {x ∈ finsetIic a | ¬a ≤ x}
finset_mem_Iic := mem_Iic
finset_mem_Iio a x := by rw [mem_filter, mem_Iic, lt_iff_le_not_le]
/-- A constructor from a definition of `Finset.Iic` alone, the other ones being derived by removing
the ends. As opposed to `LocallyFiniteOrderBot.ofIic'`, this one requires `PartialOrder` but
only `DecidableEq`. -/
def LocallyFiniteOrderBot.ofIic (α : Type*) [PartialOrder α] [DecidableEq α]
(finsetIic : α → Finset α) (mem_Iic : ∀ a x, x ∈ finsetIic a ↔ x ≤ a) :
LocallyFiniteOrderBot α where
finsetIic := finsetIic
finsetIio a := {x ∈ finsetIic a | x ≠ a}
finset_mem_Iic := mem_Iic
finset_mem_Iio a x := by rw [mem_filter, mem_Iic, lt_iff_le_and_ne]
variable {α β : Type*}
-- See note [reducible non-instances]
/-- An empty type is locally finite.
This is not an instance as it would not be defeq to more specific instances. -/
protected abbrev IsEmpty.toLocallyFiniteOrder [Preorder α] [IsEmpty α] : LocallyFiniteOrder α where
finsetIcc := isEmptyElim
finsetIco := isEmptyElim
finsetIoc := isEmptyElim
finsetIoo := isEmptyElim
finset_mem_Icc := isEmptyElim
finset_mem_Ico := isEmptyElim
finset_mem_Ioc := isEmptyElim
finset_mem_Ioo := isEmptyElim
-- See note [reducible non-instances]
/-- An empty type is locally finite.
This is not an instance as it would not be defeq to more specific instances. -/
protected abbrev IsEmpty.toLocallyFiniteOrderTop [Preorder α] [IsEmpty α] :
LocallyFiniteOrderTop α where
finsetIci := isEmptyElim
finsetIoi := isEmptyElim
finset_mem_Ici := isEmptyElim
finset_mem_Ioi := isEmptyElim
-- See note [reducible non-instances]
/-- An empty type is locally finite.
This is not an instance as it would not be defeq to more specific instances. -/
protected abbrev IsEmpty.toLocallyFiniteOrderBot [Preorder α] [IsEmpty α] :
LocallyFiniteOrderBot α where
finsetIic := isEmptyElim
finsetIio := isEmptyElim
finset_mem_Iic := isEmptyElim
finset_mem_Iio := isEmptyElim
/-! ### Intervals as finsets -/
namespace Finset
section Preorder
variable [Preorder α]
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] {a b x : α}
/-- The finset $[a, b]$ of elements `x` such that `a ≤ x` and `x ≤ b`. Basically `Set.Icc a b` as a
finset. -/
def Icc (a b : α) : Finset α :=
LocallyFiniteOrder.finsetIcc a b
/-- The finset $[a, b)$ of elements `x` such that `a ≤ x` and `x < b`. Basically `Set.Ico a b` as a
finset. -/
def Ico (a b : α) : Finset α :=
LocallyFiniteOrder.finsetIco a b
/-- The finset $(a, b]$ of elements `x` such that `a < x` and `x ≤ b`. Basically `Set.Ioc a b` as a
finset. -/
def Ioc (a b : α) : Finset α :=
LocallyFiniteOrder.finsetIoc a b
/-- The finset $(a, b)$ of elements `x` such that `a < x` and `x < b`. Basically `Set.Ioo a b` as a
finset. -/
def Ioo (a b : α) : Finset α :=
LocallyFiniteOrder.finsetIoo a b
@[simp]
theorem mem_Icc : x ∈ Icc a b ↔ a ≤ x ∧ x ≤ b :=
LocallyFiniteOrder.finset_mem_Icc a b x
@[simp]
theorem mem_Ico : x ∈ Ico a b ↔ a ≤ x ∧ x < b :=
LocallyFiniteOrder.finset_mem_Ico a b x
@[simp]
theorem mem_Ioc : x ∈ Ioc a b ↔ a < x ∧ x ≤ b :=
LocallyFiniteOrder.finset_mem_Ioc a b x
@[simp]
theorem mem_Ioo : x ∈ Ioo a b ↔ a < x ∧ x < b :=
LocallyFiniteOrder.finset_mem_Ioo a b x
@[simp, norm_cast]
theorem coe_Icc (a b : α) : (Icc a b : Set α) = Set.Icc a b :=
Set.ext fun _ => mem_Icc
@[simp, norm_cast]
theorem coe_Ico (a b : α) : (Ico a b : Set α) = Set.Ico a b :=
Set.ext fun _ => mem_Ico
@[simp, norm_cast]
theorem coe_Ioc (a b : α) : (Ioc a b : Set α) = Set.Ioc a b :=
Set.ext fun _ => mem_Ioc
@[simp, norm_cast]
theorem coe_Ioo (a b : α) : (Ioo a b : Set α) = Set.Ioo a b :=
Set.ext fun _ => mem_Ioo
@[simp]
theorem _root_.Fintype.card_Icc (a b : α) [Fintype (Set.Icc a b)] :
Fintype.card (Set.Icc a b) = #(Icc a b) :=
Fintype.card_of_finset' _ fun _ ↦ by simp
@[simp]
theorem _root_.Fintype.card_Ico (a b : α) [Fintype (Set.Ico a b)] :
Fintype.card (Set.Ico a b) = #(Ico a b) :=
Fintype.card_of_finset' _ fun _ ↦ by simp
@[simp]
theorem _root_.Fintype.card_Ioc (a b : α) [Fintype (Set.Ioc a b)] :
Fintype.card (Set.Ioc a b) = #(Ioc a b) :=
Fintype.card_of_finset' _ fun _ ↦ by simp
@[simp]
theorem _root_.Fintype.card_Ioo (a b : α) [Fintype (Set.Ioo a b)] :
Fintype.card (Set.Ioo a b) = #(Ioo a b) :=
Fintype.card_of_finset' _ fun _ ↦ by simp
end LocallyFiniteOrder
section LocallyFiniteOrderTop
variable [LocallyFiniteOrderTop α] {a x : α}
/-- The finset $[a, ∞)$ of elements `x` such that `a ≤ x`. Basically `Set.Ici a` as a finset. -/
def Ici (a : α) : Finset α :=
LocallyFiniteOrderTop.finsetIci a
/-- The finset $(a, ∞)$ of elements `x` such that `a < x`. Basically `Set.Ioi a` as a finset. -/
def Ioi (a : α) : Finset α :=
LocallyFiniteOrderTop.finsetIoi a
@[simp]
theorem mem_Ici : x ∈ Ici a ↔ a ≤ x :=
LocallyFiniteOrderTop.finset_mem_Ici _ _
@[simp]
theorem mem_Ioi : x ∈ Ioi a ↔ a < x :=
LocallyFiniteOrderTop.finset_mem_Ioi _ _
@[simp, norm_cast]
theorem coe_Ici (a : α) : (Ici a : Set α) = Set.Ici a :=
Set.ext fun _ => mem_Ici
@[simp, norm_cast]
theorem coe_Ioi (a : α) : (Ioi a : Set α) = Set.Ioi a :=
Set.ext fun _ => mem_Ioi
@[simp]
theorem _root_.Fintype.card_Ici (a : α) [Fintype (Set.Ici a)] :
Fintype.card (Set.Ici a) = #(Ici a) :=
Fintype.card_of_finset' _ fun _ ↦ by simp
@[simp]
theorem _root_.Fintype.card_Ioi (a : α) [Fintype (Set.Ioi a)] :
Fintype.card (Set.Ioi a) = #(Ioi a) :=
Fintype.card_of_finset' _ fun _ ↦ by simp
end LocallyFiniteOrderTop
section LocallyFiniteOrderBot
variable [LocallyFiniteOrderBot α] {a x : α}
/-- The finset $(-∞, b]$ of elements `x` such that `x ≤ b`. Basically `Set.Iic b` as a finset. -/
def Iic (b : α) : Finset α :=
LocallyFiniteOrderBot.finsetIic b
/-- The finset $(-∞, b)$ of elements `x` such that `x < b`. Basically `Set.Iio b` as a finset. -/
def Iio (b : α) : Finset α :=
LocallyFiniteOrderBot.finsetIio b
@[simp]
theorem mem_Iic : x ∈ Iic a ↔ x ≤ a :=
LocallyFiniteOrderBot.finset_mem_Iic _ _
@[simp]
theorem mem_Iio : x ∈ Iio a ↔ x < a :=
LocallyFiniteOrderBot.finset_mem_Iio _ _
@[simp, norm_cast]
theorem coe_Iic (a : α) : (Iic a : Set α) = Set.Iic a :=
Set.ext fun _ => mem_Iic
@[simp, norm_cast]
theorem coe_Iio (a : α) : (Iio a : Set α) = Set.Iio a :=
Set.ext fun _ => mem_Iio
@[simp]
theorem _root_.Fintype.card_Iic (a : α) [Fintype (Set.Iic a)] :
Fintype.card (Set.Iic a) = #(Iic a) :=
Fintype.card_of_finset' _ fun _ ↦ by simp
@[simp]
theorem _root_.Fintype.card_Iio (a : α) [Fintype (Set.Iio a)] :
Fintype.card (Set.Iio a) = #(Iio a) :=
Fintype.card_of_finset' _ fun _ ↦ by simp
end LocallyFiniteOrderBot
section OrderTop
variable [LocallyFiniteOrder α] [OrderTop α] {a x : α}
-- See note [lower priority instance]
instance (priority := 100) _root_.LocallyFiniteOrder.toLocallyFiniteOrderTop :
LocallyFiniteOrderTop α where
finsetIci b := Icc b ⊤
finsetIoi b := Ioc b ⊤
finset_mem_Ici a x := by rw [mem_Icc, and_iff_left le_top]
finset_mem_Ioi a x := by rw [mem_Ioc, and_iff_left le_top]
theorem Ici_eq_Icc (a : α) : Ici a = Icc a ⊤ :=
rfl
theorem Ioi_eq_Ioc (a : α) : Ioi a = Ioc a ⊤ :=
rfl
end OrderTop
section OrderBot
variable [OrderBot α] [LocallyFiniteOrder α] {b x : α}
-- See note [lower priority instance]
instance (priority := 100) LocallyFiniteOrder.toLocallyFiniteOrderBot :
LocallyFiniteOrderBot α where
finsetIic := Icc ⊥
finsetIio := Ico ⊥
finset_mem_Iic a x := by rw [mem_Icc, and_iff_right bot_le]
finset_mem_Iio a x := by rw [mem_Ico, and_iff_right bot_le]
theorem Iic_eq_Icc : Iic = Icc (⊥ : α) :=
rfl
theorem Iio_eq_Ico : Iio = Ico (⊥ : α) :=
rfl
end OrderBot
end Preorder
section Lattice
variable [Lattice α] [LocallyFiniteOrder α] {a b x : α}
/-- `Finset.uIcc a b` is the set of elements lying between `a` and `b`, with `a` and `b` included.
Note that we define it more generally in a lattice as `Finset.Icc (a ⊓ b) (a ⊔ b)`. In a
product type, `Finset.uIcc` corresponds to the bounding box of the two elements. -/
def uIcc (a b : α) : Finset α :=
Icc (a ⊓ b) (a ⊔ b)
@[inherit_doc]
scoped[FinsetInterval] notation "[[" a ", " b "]]" => Finset.uIcc a b
@[simp]
theorem mem_uIcc : x ∈ uIcc a b ↔ a ⊓ b ≤ x ∧ x ≤ a ⊔ b :=
mem_Icc
@[simp, norm_cast]
theorem coe_uIcc (a b : α) : (Finset.uIcc a b : Set α) = Set.uIcc a b :=
coe_Icc _ _
@[simp]
theorem _root_.Fintype.card_uIcc (a b : α) [Fintype (Set.uIcc a b)] :
Fintype.card (Set.uIcc a b) = #(uIcc a b) :=
Fintype.card_of_finset' _ fun _ ↦ by simp [Set.uIcc]
end Lattice
end Finset
namespace Mathlib.Meta
open Lean Elab Term Meta Batteries.ExtendedBinder
/-- Elaborate set builder notation for `Finset`.
* `{x ≤ a | p x}` is elaborated as `Finset.filter (fun x ↦ p x) (Finset.Iic a)` if the expected type
is `Finset ?α`.
* `{x ≥ a | p x}` is elaborated as `Finset.filter (fun x ↦ p x) (Finset.Ici a)` if the expected type
is `Finset ?α`.
* `{x < a | p x}` is elaborated as `Finset.filter (fun x ↦ p x) (Finset.Iio a)` if the expected type
is `Finset ?α`.
* `{x > a | p x}` is elaborated as `Finset.filter (fun x ↦ p x) (Finset.Ioi a)` if the expected type
is `Finset ?α`.
See also
* `Data.Set.Defs` for the `Set` builder notation elaborator that this elaborator partly overrides.
* `Data.Finset.Basic` for the `Finset` builder notation elaborator partly overriding this one for
syntax of the form `{x ∈ s | p x}`.
* `Data.Fintype.Basic` for the `Finset` builder notation elaborator handling syntax of the form
`{x | p x}`, `{x : α | p x}`, `{x ∉ s | p x}`, `{x ≠ a | p x}`.
TODO: Write a delaborator
-/
@[term_elab setBuilder]
def elabFinsetBuilderIxx : TermElab
| `({ $x:ident ≤ $a | $p }), expectedType? => do
-- If the expected type is not known to be `Finset ?α`, give up.
unless ← knownToBeFinsetNotSet expectedType? do throwUnsupportedSyntax
elabTerm (← `(Finset.filter (fun $x:ident ↦ $p) (Finset.Iic $a))) expectedType?
| `({ $x:ident ≥ $a | $p }), expectedType? => do
-- If the expected type is not known to be `Finset ?α`, give up.
unless ← knownToBeFinsetNotSet expectedType? do throwUnsupportedSyntax
elabTerm (← `(Finset.filter (fun $x:ident ↦ $p) (Finset.Ici $a))) expectedType?
| `({ $x:ident < $a | $p }), expectedType? => do
-- If the expected type is not known to be `Finset ?α`, give up.
unless ← knownToBeFinsetNotSet expectedType? do throwUnsupportedSyntax
elabTerm (← `(Finset.filter (fun $x:ident ↦ $p) (Finset.Iio $a))) expectedType?
| `({ $x:ident > $a | $p }), expectedType? => do
-- If the expected type is not known to be `Finset ?α`, give up.
unless ← knownToBeFinsetNotSet expectedType? do throwUnsupportedSyntax
elabTerm (← `(Finset.filter (fun $x:ident ↦ $p) (Finset.Ioi $a))) expectedType?
| _, _ => throwUnsupportedSyntax
end Mathlib.Meta
/-! ### Finiteness of `Set` intervals -/
namespace Set
section Preorder
variable [Preorder α] [LocallyFiniteOrder α] (a b : α)
instance instFintypeIcc : Fintype (Icc a b) := .ofFinset (Finset.Icc a b) fun _ => Finset.mem_Icc
instance instFintypeIco : Fintype (Ico a b) := .ofFinset (Finset.Ico a b) fun _ => Finset.mem_Ico
instance instFintypeIoc : Fintype (Ioc a b) := .ofFinset (Finset.Ioc a b) fun _ => Finset.mem_Ioc
instance instFintypeIoo : Fintype (Ioo a b) := .ofFinset (Finset.Ioo a b) fun _ => Finset.mem_Ioo
theorem finite_Icc : (Icc a b).Finite :=
(Icc a b).toFinite
theorem finite_Ico : (Ico a b).Finite :=
(Ico a b).toFinite
theorem finite_Ioc : (Ioc a b).Finite :=
(Ioc a b).toFinite
theorem finite_Ioo : (Ioo a b).Finite :=
(Ioo a b).toFinite
end Preorder
section OrderTop
variable [Preorder α] [LocallyFiniteOrderTop α] (a : α)
instance instFintypeIci : Fintype (Ici a) := .ofFinset (Finset.Ici a) fun _ => Finset.mem_Ici
instance instFintypeIoi : Fintype (Ioi a) := .ofFinset (Finset.Ioi a) fun _ => Finset.mem_Ioi
theorem finite_Ici : (Ici a).Finite :=
(Ici a).toFinite
theorem finite_Ioi : (Ioi a).Finite :=
(Ioi a).toFinite
end OrderTop
section OrderBot
variable [Preorder α] [LocallyFiniteOrderBot α] (b : α)
instance instFintypeIic : Fintype (Iic b) := .ofFinset (Finset.Iic b) fun _ => Finset.mem_Iic
instance instFintypeIio : Fintype (Iio b) := .ofFinset (Finset.Iio b) fun _ => Finset.mem_Iio
theorem finite_Iic : (Iic b).Finite :=
(Iic b).toFinite
theorem finite_Iio : (Iio b).Finite :=
(Iio b).toFinite
end OrderBot
section Lattice
variable [Lattice α] [LocallyFiniteOrder α] (a b : α)
instance fintypeUIcc : Fintype (uIcc a b) :=
Fintype.ofFinset (Finset.uIcc a b) fun _ => Finset.mem_uIcc
@[simp]
theorem finite_interval : (uIcc a b).Finite := (uIcc _ _).toFinite
end Lattice
end Set
/-! ### Instances -/
open Finset
section Preorder
variable [Preorder α] [Preorder β]
/-- A noncomputable constructor from the finiteness of all closed intervals. -/
noncomputable def LocallyFiniteOrder.ofFiniteIcc (h : ∀ a b : α, (Set.Icc a b).Finite) :
LocallyFiniteOrder α :=
@LocallyFiniteOrder.ofIcc' α _ (Classical.decRel _) (fun a b => (h a b).toFinset) fun a b x => by
rw [Set.Finite.mem_toFinset, Set.mem_Icc]
/-- A fintype is a locally finite order.
This is not an instance as it would not be defeq to better instances such as
`Fin.locallyFiniteOrder`.
-/
abbrev Fintype.toLocallyFiniteOrder [Fintype α] [DecidableLT α] [DecidableLE α] :
LocallyFiniteOrder α where
finsetIcc a b := (Set.Icc a b).toFinset
finsetIco a b := (Set.Ico a b).toFinset
finsetIoc a b := (Set.Ioc a b).toFinset
finsetIoo a b := (Set.Ioo a b).toFinset
finset_mem_Icc a b x := by simp only [Set.mem_toFinset, Set.mem_Icc]
finset_mem_Ico a b x := by simp only [Set.mem_toFinset, Set.mem_Ico]
finset_mem_Ioc a b x := by simp only [Set.mem_toFinset, Set.mem_Ioc]
finset_mem_Ioo a b x := by simp only [Set.mem_toFinset, Set.mem_Ioo]
instance : Subsingleton (LocallyFiniteOrder α) :=
Subsingleton.intro fun h₀ h₁ => by
obtain ⟨h₀_finset_Icc, h₀_finset_Ico, h₀_finset_Ioc, h₀_finset_Ioo,
h₀_finset_mem_Icc, h₀_finset_mem_Ico, h₀_finset_mem_Ioc, h₀_finset_mem_Ioo⟩ := h₀
obtain ⟨h₁_finset_Icc, h₁_finset_Ico, h₁_finset_Ioc, h₁_finset_Ioo,
h₁_finset_mem_Icc, h₁_finset_mem_Ico, h₁_finset_mem_Ioc, h₁_finset_mem_Ioo⟩ := h₁
have hIcc : h₀_finset_Icc = h₁_finset_Icc := by
ext a b x
rw [h₀_finset_mem_Icc, h₁_finset_mem_Icc]
have hIco : h₀_finset_Ico = h₁_finset_Ico := by
ext a b x
rw [h₀_finset_mem_Ico, h₁_finset_mem_Ico]
have hIoc : h₀_finset_Ioc = h₁_finset_Ioc := by
ext a b x
rw [h₀_finset_mem_Ioc, h₁_finset_mem_Ioc]
have hIoo : h₀_finset_Ioo = h₁_finset_Ioo := by
ext a b x
rw [h₀_finset_mem_Ioo, h₁_finset_mem_Ioo]
simp_rw [hIcc, hIco, hIoc, hIoo]
instance : Subsingleton (LocallyFiniteOrderTop α) :=
Subsingleton.intro fun h₀ h₁ => by
obtain ⟨h₀_finset_Ioi, h₀_finset_Ici, h₀_finset_mem_Ici, h₀_finset_mem_Ioi⟩ := h₀
obtain ⟨h₁_finset_Ioi, h₁_finset_Ici, h₁_finset_mem_Ici, h₁_finset_mem_Ioi⟩ := h₁
have hIci : h₀_finset_Ici = h₁_finset_Ici := by
ext a b
rw [h₀_finset_mem_Ici, h₁_finset_mem_Ici]
have hIoi : h₀_finset_Ioi = h₁_finset_Ioi := by
ext a b
rw [h₀_finset_mem_Ioi, h₁_finset_mem_Ioi]
simp_rw [hIci, hIoi]
instance : Subsingleton (LocallyFiniteOrderBot α) :=
Subsingleton.intro fun h₀ h₁ => by
obtain ⟨h₀_finset_Iio, h₀_finset_Iic, h₀_finset_mem_Iic, h₀_finset_mem_Iio⟩ := h₀
obtain ⟨h₁_finset_Iio, h₁_finset_Iic, h₁_finset_mem_Iic, h₁_finset_mem_Iio⟩ := h₁
have hIic : h₀_finset_Iic = h₁_finset_Iic := by
ext a b
rw [h₀_finset_mem_Iic, h₁_finset_mem_Iic]
have hIio : h₀_finset_Iio = h₁_finset_Iio := by
ext a b
rw [h₀_finset_mem_Iio, h₁_finset_mem_Iio]
simp_rw [hIic, hIio]
-- Should this be called `LocallyFiniteOrder.lift`?
/-- Given an order embedding `α ↪o β`, pulls back the `LocallyFiniteOrder` on `β` to `α`. -/
protected noncomputable def OrderEmbedding.locallyFiniteOrder [LocallyFiniteOrder β] (f : α ↪o β) :
LocallyFiniteOrder α where
finsetIcc a b := (Icc (f a) (f b)).preimage f f.toEmbedding.injective.injOn
finsetIco a b := (Ico (f a) (f b)).preimage f f.toEmbedding.injective.injOn
finsetIoc a b := (Ioc (f a) (f b)).preimage f f.toEmbedding.injective.injOn
finsetIoo a b := (Ioo (f a) (f b)).preimage f f.toEmbedding.injective.injOn
finset_mem_Icc a b x := by rw [mem_preimage, mem_Icc, f.le_iff_le, f.le_iff_le]
finset_mem_Ico a b x := by rw [mem_preimage, mem_Ico, f.le_iff_le, f.lt_iff_lt]
finset_mem_Ioc a b x := by rw [mem_preimage, mem_Ioc, f.lt_iff_lt, f.le_iff_le]
finset_mem_Ioo a b x := by rw [mem_preimage, mem_Ioo, f.lt_iff_lt, f.lt_iff_lt]
/-! ### `OrderDual` -/
open OrderDual
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] (a b : α)
/-- Note we define `Icc (toDual a) (toDual b)` as `Icc α _ _ b a` (which has type `Finset α` not
`Finset αᵒᵈ`!) instead of `(Icc b a).map toDual.toEmbedding` as this means the
following is defeq:
```
lemma this : (Icc (toDual (toDual a)) (toDual (toDual b)) :) = (Icc a b :) := rfl
```
-/
instance OrderDual.instLocallyFiniteOrder : LocallyFiniteOrder αᵒᵈ where
finsetIcc a b := @Icc α _ _ (ofDual b) (ofDual a)
finsetIco a b := @Ioc α _ _ (ofDual b) (ofDual a)
finsetIoc a b := @Ico α _ _ (ofDual b) (ofDual a)
finsetIoo a b := @Ioo α _ _ (ofDual b) (ofDual a)
finset_mem_Icc _ _ _ := (mem_Icc (α := α)).trans and_comm
finset_mem_Ico _ _ _ := (mem_Ioc (α := α)).trans and_comm
finset_mem_Ioc _ _ _ := (mem_Ico (α := α)).trans and_comm
finset_mem_Ioo _ _ _ := (mem_Ioo (α := α)).trans and_comm
lemma Finset.Icc_orderDual_def (a b : αᵒᵈ) :
Icc a b = (Icc (ofDual b) (ofDual a)).map toDual.toEmbedding := map_refl.symm
lemma Finset.Ico_orderDual_def (a b : αᵒᵈ) :
Ico a b = (Ioc (ofDual b) (ofDual a)).map toDual.toEmbedding := map_refl.symm
lemma Finset.Ioc_orderDual_def (a b : αᵒᵈ) :
Ioc a b = (Ico (ofDual b) (ofDual a)).map toDual.toEmbedding := map_refl.symm
lemma Finset.Ioo_orderDual_def (a b : αᵒᵈ) :
Ioo a b = (Ioo (ofDual b) (ofDual a)).map toDual.toEmbedding := map_refl.symm
lemma Finset.Icc_toDual : Icc (toDual a) (toDual b) = (Icc b a).map toDual.toEmbedding :=
map_refl.symm
lemma Finset.Ico_toDual : Ico (toDual a) (toDual b) = (Ioc b a).map toDual.toEmbedding :=
map_refl.symm
lemma Finset.Ioc_toDual : Ioc (toDual a) (toDual b) = (Ico b a).map toDual.toEmbedding :=
map_refl.symm
lemma Finset.Ioo_toDual : Ioo (toDual a) (toDual b) = (Ioo b a).map toDual.toEmbedding :=
map_refl.symm
lemma Finset.Icc_ofDual (a b : αᵒᵈ) :
Icc (ofDual a) (ofDual b) = (Icc b a).map ofDual.toEmbedding := map_refl.symm
lemma Finset.Ico_ofDual (a b : αᵒᵈ) :
Ico (ofDual a) (ofDual b) = (Ioc b a).map ofDual.toEmbedding := map_refl.symm
lemma Finset.Ioc_ofDual (a b : αᵒᵈ) :
Ioc (ofDual a) (ofDual b) = (Ico b a).map ofDual.toEmbedding := map_refl.symm
lemma Finset.Ioo_ofDual (a b : αᵒᵈ) :
Ioo (ofDual a) (ofDual b) = (Ioo b a).map ofDual.toEmbedding := map_refl.symm
end LocallyFiniteOrder
section LocallyFiniteOrderTop
variable [LocallyFiniteOrderTop α]
/-- Note we define `Iic (toDual a)` as `Ici a` (which has type `Finset α` not `Finset αᵒᵈ`!)
instead of `(Ici a).map toDual.toEmbedding` as this means the following is defeq:
```
lemma this : (Iic (toDual (toDual a)) :) = (Iic a :) := rfl
```
-/
instance OrderDual.instLocallyFiniteOrderBot : LocallyFiniteOrderBot αᵒᵈ where
finsetIic a := @Ici α _ _ (ofDual a)
finsetIio a := @Ioi α _ _ (ofDual a)
finset_mem_Iic _ _ := mem_Ici (α := α)
finset_mem_Iio _ _ := mem_Ioi (α := α)
lemma Iic_orderDual_def (a : αᵒᵈ) : Iic a = (Ici (ofDual a)).map toDual.toEmbedding := map_refl.symm
lemma Iio_orderDual_def (a : αᵒᵈ) : Iio a = (Ioi (ofDual a)).map toDual.toEmbedding := map_refl.symm
lemma Finset.Iic_toDual (a : α) : Iic (toDual a) = (Ici a).map toDual.toEmbedding :=
map_refl.symm
lemma Finset.Iio_toDual (a : α) : Iio (toDual a) = (Ioi a).map toDual.toEmbedding :=
map_refl.symm
lemma Finset.Ici_ofDual (a : αᵒᵈ) : Ici (ofDual a) = (Iic a).map ofDual.toEmbedding :=
map_refl.symm
lemma Finset.Ioi_ofDual (a : αᵒᵈ) : Ioi (ofDual a) = (Iio a).map ofDual.toEmbedding :=
map_refl.symm
end LocallyFiniteOrderTop
section LocallyFiniteOrderTop
variable [LocallyFiniteOrderBot α]
/-- Note we define `Ici (toDual a)` as `Iic a` (which has type `Finset α` not `Finset αᵒᵈ`!)
instead of `(Iic a).map toDual.toEmbedding` as this means the following is defeq:
```
lemma this : (Ici (toDual (toDual a)) :) = (Ici a :) := rfl
```
-/
instance OrderDual.instLocallyFiniteOrderTop : LocallyFiniteOrderTop αᵒᵈ where
finsetIci a := @Iic α _ _ (ofDual a)
finsetIoi a := @Iio α _ _ (ofDual a)
finset_mem_Ici _ _ := mem_Iic (α := α)
finset_mem_Ioi _ _ := mem_Iio (α := α)
lemma Ici_orderDual_def (a : αᵒᵈ) : Ici a = (Iic (ofDual a)).map toDual.toEmbedding := map_refl.symm
lemma Ioi_orderDual_def (a : αᵒᵈ) : Ioi a = (Iio (ofDual a)).map toDual.toEmbedding := map_refl.symm
lemma Finset.Ici_toDual (a : α) : Ici (toDual a) = (Iic a).map toDual.toEmbedding :=
map_refl.symm
lemma Finset.Ioi_toDual (a : α) : Ioi (toDual a) = (Iio a).map toDual.toEmbedding :=
map_refl.symm
lemma Finset.Iic_ofDual (a : αᵒᵈ) : Iic (ofDual a) = (Ici a).map ofDual.toEmbedding :=
map_refl.symm
lemma Finset.Iio_ofDual (a : αᵒᵈ) : Iio (ofDual a) = (Ioi a).map ofDual.toEmbedding :=
map_refl.symm
end LocallyFiniteOrderTop
/-! ### `Prod` -/
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] [LocallyFiniteOrder β] [DecidableLE (α × β)]
instance Prod.instLocallyFiniteOrder : LocallyFiniteOrder (α × β) :=
LocallyFiniteOrder.ofIcc' (α × β) (fun x y ↦ Icc x.1 y.1 ×ˢ Icc x.2 y.2) fun a b x => by
rw [mem_product, mem_Icc, mem_Icc, and_and_and_comm, le_def, le_def]
lemma Finset.Icc_prod_def (x y : α × β) : Icc x y = Icc x.1 y.1 ×ˢ Icc x.2 y.2 := rfl
lemma Finset.Icc_product_Icc (a₁ a₂ : α) (b₁ b₂ : β) :
Icc a₁ a₂ ×ˢ Icc b₁ b₂ = Icc (a₁, b₁) (a₂, b₂) := rfl
lemma Finset.card_Icc_prod (x y : α × β) : #(Icc x y) = #(Icc x.1 y.1) * #(Icc x.2 y.2) :=
card_product ..
end LocallyFiniteOrder
section LocallyFiniteOrderTop
variable [LocallyFiniteOrderTop α] [LocallyFiniteOrderTop β] [DecidableLE (α × β)]
instance Prod.instLocallyFiniteOrderTop : LocallyFiniteOrderTop (α × β) :=
LocallyFiniteOrderTop.ofIci' (α × β) (fun x => Ici x.1 ×ˢ Ici x.2) fun a x => by
rw [mem_product, mem_Ici, mem_Ici, le_def]
lemma Finset.Ici_prod_def (x : α × β) : Ici x = Ici x.1 ×ˢ Ici x.2 := rfl
lemma Finset.Ici_product_Ici (a : α) (b : β) : Ici a ×ˢ Ici b = Ici (a, b) := rfl
lemma Finset.card_Ici_prod (x : α × β) : #(Ici x) = #(Ici x.1) * #(Ici x.2) :=
card_product _ _
end LocallyFiniteOrderTop
section LocallyFiniteOrderBot
variable [LocallyFiniteOrderBot α] [LocallyFiniteOrderBot β] [DecidableLE (α × β)]
instance Prod.instLocallyFiniteOrderBot : LocallyFiniteOrderBot (α × β) :=
LocallyFiniteOrderBot.ofIic' (α × β) (fun x ↦ Iic x.1 ×ˢ Iic x.2) fun a x ↦ by
rw [mem_product, mem_Iic, mem_Iic, le_def]
lemma Finset.Iic_prod_def (x : α × β) : Iic x = Iic x.1 ×ˢ Iic x.2 := rfl
lemma Finset.Iic_product_Iic (a : α) (b : β) : Iic a ×ˢ Iic b = Iic (a, b) := rfl
lemma Finset.card_Iic_prod (x : α × β) : #(Iic x) = #(Iic x.1) * #(Iic x.2) := card_product ..
end LocallyFiniteOrderBot
end Preorder
section Lattice
variable [Lattice α] [Lattice β] [LocallyFiniteOrder α] [LocallyFiniteOrder β] [DecidableLE (α × β)]
lemma Finset.uIcc_prod_def (x y : α × β) : uIcc x y = uIcc x.1 y.1 ×ˢ uIcc x.2 y.2 := rfl
lemma Finset.uIcc_product_uIcc (a₁ a₂ : α) (b₁ b₂ : β) :
uIcc a₁ a₂ ×ˢ uIcc b₁ b₂ = uIcc (a₁, b₁) (a₂, b₂) := rfl
lemma Finset.card_uIcc_prod (x y : α × β) : #(uIcc x y) = #(uIcc x.1 y.1) * #(uIcc x.2 y.2) :=
card_product ..
end Lattice
/-!
#### `WithTop`, `WithBot`
Adding a `⊤` to a locally finite `OrderTop` keeps it locally finite.
Adding a `⊥` to a locally finite `OrderBot` keeps it locally finite.
-/
namespace WithTop
/-- Given a finset on `α`, lift it to being a finset on `WithTop α`
using `WithTop.some` and then insert `⊤`. -/
def insertTop : Finset α ↪o Finset (WithTop α) :=
OrderEmbedding.ofMapLEIff
(fun s => cons ⊤ (s.map Embedding.coeWithTop) <| by simp)
(fun s t => by rw [le_iff_subset, cons_subset_cons, map_subset_map, le_iff_subset])
@[simp]
theorem some_mem_insertTop {s : Finset α} {a : α} : ↑a ∈ insertTop s ↔ a ∈ s := by
simp [insertTop]
@[simp]
theorem top_mem_insertTop {s : Finset α} : ⊤ ∈ insertTop s := by
simp [insertTop]
variable (α) [PartialOrder α] [OrderTop α] [LocallyFiniteOrder α]
instance locallyFiniteOrder : LocallyFiniteOrder (WithTop α) where
finsetIcc a b :=
match a, b with
| ⊤, ⊤ => {⊤}
| ⊤, (b : α) => ∅
| (a : α), ⊤ => insertTop (Ici a)
| (a : α), (b : α) => (Icc a b).map Embedding.coeWithTop
finsetIco a b :=
match a, b with
| ⊤, _ => ∅
| (a : α), ⊤ => (Ici a).map Embedding.coeWithTop
| (a : α), (b : α) => (Ico a b).map Embedding.coeWithTop
finsetIoc a b :=
match a, b with
| ⊤, _ => ∅
| (a : α), ⊤ => insertTop (Ioi a)
| (a : α), (b : α) => (Ioc a b).map Embedding.coeWithTop
finsetIoo a b :=
match a, b with
| ⊤, _ => ∅
| (a : α), ⊤ => (Ioi a).map Embedding.coeWithTop
| (a : α), (b : α) => (Ioo a b).map Embedding.coeWithTop
finset_mem_Icc a b x := by
cases a <;> cases b <;> cases x <;> simp
finset_mem_Ico a b x := by
cases a <;> cases b <;> cases x <;> simp
finset_mem_Ioc a b x := by
cases a <;> cases b <;> cases x <;> simp
finset_mem_Ioo a b x := by
cases a <;> cases b <;> cases x <;> simp
variable (a b : α)
theorem Icc_coe_top : Icc (a : WithTop α) ⊤ = insertNone (Ici a) :=
rfl
theorem Icc_coe_coe : Icc (a : WithTop α) b = (Icc a b).map Embedding.some :=
rfl
theorem Ico_coe_top : Ico (a : WithTop α) ⊤ = (Ici a).map Embedding.some :=
rfl
theorem Ico_coe_coe : Ico (a : WithTop α) b = (Ico a b).map Embedding.some :=
rfl
theorem Ioc_coe_top : Ioc (a : WithTop α) ⊤ = insertNone (Ioi a) :=
rfl
theorem Ioc_coe_coe : Ioc (a : WithTop α) b = (Ioc a b).map Embedding.some :=
rfl
theorem Ioo_coe_top : Ioo (a : WithTop α) ⊤ = (Ioi a).map Embedding.some :=
rfl
theorem Ioo_coe_coe : Ioo (a : WithTop α) b = (Ioo a b).map Embedding.some :=
rfl
end WithTop
namespace WithBot
/-- Given a finset on `α`, lift it to being a finset on `WithBot α`
using `WithBot.some` and then insert `⊥`. -/
def insertBot : Finset α ↪o Finset (WithBot α) :=
OrderEmbedding.ofMapLEIff
(fun s => cons ⊥ (s.map Embedding.coeWithBot) <| by simp)
(fun s t => by rw [le_iff_subset, cons_subset_cons, map_subset_map, le_iff_subset])
@[simp]
theorem some_mem_insertBot {s : Finset α} {a : α} : ↑a ∈ insertBot s ↔ a ∈ s := by
simp [insertBot]
@[simp]
theorem bot_mem_insertBot {s : Finset α} : ⊥ ∈ insertBot s := by
simp [insertBot]
variable (α) [PartialOrder α] [OrderBot α] [LocallyFiniteOrder α]
instance instLocallyFiniteOrder : LocallyFiniteOrder (WithBot α) :=
OrderDual.instLocallyFiniteOrder (α := WithTop αᵒᵈ)
variable (a b : α)
theorem Icc_bot_coe : Icc (⊥ : WithBot α) b = insertNone (Iic b) :=
rfl
theorem Icc_coe_coe : Icc (a : WithBot α) b = (Icc a b).map Embedding.some :=
rfl
theorem Ico_bot_coe : Ico (⊥ : WithBot α) b = insertNone (Iio b) :=
rfl
theorem Ico_coe_coe : Ico (a : WithBot α) b = (Ico a b).map Embedding.some :=
rfl
theorem Ioc_bot_coe : Ioc (⊥ : WithBot α) b = (Iic b).map Embedding.some :=
rfl
theorem Ioc_coe_coe : Ioc (a : WithBot α) b = (Ioc a b).map Embedding.some :=
rfl
theorem Ioo_bot_coe : Ioo (⊥ : WithBot α) b = (Iio b).map Embedding.some :=
rfl
theorem Ioo_coe_coe : Ioo (a : WithBot α) b = (Ioo a b).map Embedding.some :=
rfl
end WithBot
namespace OrderIso
variable [Preorder α] [Preorder β]
/-! #### Transfer locally finite orders across order isomorphisms -/
-- See note [reducible non-instances]
/-- Transfer `LocallyFiniteOrder` across an `OrderIso`. -/
abbrev locallyFiniteOrder [LocallyFiniteOrder β] (f : α ≃o β) : LocallyFiniteOrder α where
finsetIcc a b := (Icc (f a) (f b)).map f.symm.toEquiv.toEmbedding
finsetIco a b := (Ico (f a) (f b)).map f.symm.toEquiv.toEmbedding
finsetIoc a b := (Ioc (f a) (f b)).map f.symm.toEquiv.toEmbedding
finsetIoo a b := (Ioo (f a) (f b)).map f.symm.toEquiv.toEmbedding
finset_mem_Icc := by simp
finset_mem_Ico := by simp
finset_mem_Ioc := by simp
finset_mem_Ioo := by simp
-- See note [reducible non-instances]
/-- Transfer `LocallyFiniteOrderTop` across an `OrderIso`. -/
abbrev locallyFiniteOrderTop [LocallyFiniteOrderTop β] (f : α ≃o β) : LocallyFiniteOrderTop α where
finsetIci a := (Ici (f a)).map f.symm.toEquiv.toEmbedding
finsetIoi a := (Ioi (f a)).map f.symm.toEquiv.toEmbedding
finset_mem_Ici := by simp
finset_mem_Ioi := by simp
-- See note [reducible non-instances]
/-- Transfer `LocallyFiniteOrderBot` across an `OrderIso`. -/
abbrev locallyFiniteOrderBot [LocallyFiniteOrderBot β] (f : α ≃o β) : LocallyFiniteOrderBot α where
finsetIic a := (Iic (f a)).map f.symm.toEquiv.toEmbedding
finsetIio a := (Iio (f a)).map f.symm.toEquiv.toEmbedding
finset_mem_Iic := by simp
finset_mem_Iio := by simp
end OrderIso
/-! #### Subtype of a locally finite order -/
variable [Preorder α] (p : α → Prop) [DecidablePred p]
instance Subtype.instLocallyFiniteOrder [LocallyFiniteOrder α] :
LocallyFiniteOrder (Subtype p) where
finsetIcc a b := (Icc (a : α) b).subtype p
finsetIco a b := (Ico (a : α) b).subtype p
finsetIoc a b := (Ioc (a : α) b).subtype p
finsetIoo a b := (Ioo (a : α) b).subtype p
finset_mem_Icc a b x := by simp_rw [Finset.mem_subtype, mem_Icc, Subtype.coe_le_coe]
finset_mem_Ico a b x := by
simp_rw [Finset.mem_subtype, mem_Ico, Subtype.coe_le_coe, Subtype.coe_lt_coe]
finset_mem_Ioc a b x := by
simp_rw [Finset.mem_subtype, mem_Ioc, Subtype.coe_le_coe, Subtype.coe_lt_coe]
finset_mem_Ioo a b x := by simp_rw [Finset.mem_subtype, mem_Ioo, Subtype.coe_lt_coe]
instance Subtype.instLocallyFiniteOrderTop [LocallyFiniteOrderTop α] :
LocallyFiniteOrderTop (Subtype p) where
finsetIci a := (Ici (a : α)).subtype p
finsetIoi a := (Ioi (a : α)).subtype p
finset_mem_Ici a x := by simp_rw [Finset.mem_subtype, mem_Ici, Subtype.coe_le_coe]
finset_mem_Ioi a x := by simp_rw [Finset.mem_subtype, mem_Ioi, Subtype.coe_lt_coe]
instance Subtype.instLocallyFiniteOrderBot [LocallyFiniteOrderBot α] :
LocallyFiniteOrderBot (Subtype p) where
finsetIic a := (Iic (a : α)).subtype p
finsetIio a := (Iio (a : α)).subtype p
finset_mem_Iic a x := by simp_rw [Finset.mem_subtype, mem_Iic, Subtype.coe_le_coe]
finset_mem_Iio a x := by simp_rw [Finset.mem_subtype, mem_Iio, Subtype.coe_lt_coe]
namespace Finset
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] (a b : Subtype p)
theorem subtype_Icc_eq : Icc a b = (Icc (a : α) b).subtype p :=
rfl
theorem subtype_Ico_eq : Ico a b = (Ico (a : α) b).subtype p :=
rfl
theorem subtype_Ioc_eq : Ioc a b = (Ioc (a : α) b).subtype p :=
rfl
theorem subtype_Ioo_eq : Ioo a b = (Ioo (a : α) b).subtype p :=
rfl
theorem map_subtype_embedding_Icc (hp : ∀ ⦃a b x⦄, a ≤ x → x ≤ b → p a → p b → p x):
(Icc a b).map (Embedding.subtype p) = (Icc a b : Finset α) := by
rw [subtype_Icc_eq]
refine Finset.subtype_map_of_mem fun x hx => ?_
rw [mem_Icc] at hx
exact hp hx.1 hx.2 a.prop b.prop
theorem map_subtype_embedding_Ico (hp : ∀ ⦃a b x⦄, a ≤ x → x ≤ b → p a → p b → p x):
(Ico a b).map (Embedding.subtype p) = (Ico a b : Finset α) := by
rw [subtype_Ico_eq]
refine Finset.subtype_map_of_mem fun x hx => ?_
rw [mem_Ico] at hx
exact hp hx.1 hx.2.le a.prop b.prop
theorem map_subtype_embedding_Ioc (hp : ∀ ⦃a b x⦄, a ≤ x → x ≤ b → p a → p b → p x):
(Ioc a b).map (Embedding.subtype p) = (Ioc a b : Finset α) := by
rw [subtype_Ioc_eq]
refine Finset.subtype_map_of_mem fun x hx => ?_
rw [mem_Ioc] at hx
exact hp hx.1.le hx.2 a.prop b.prop
theorem map_subtype_embedding_Ioo (hp : ∀ ⦃a b x⦄, a ≤ x → x ≤ b → p a → p b → p x):
(Ioo a b).map (Embedding.subtype p) = (Ioo a b : Finset α) := by
rw [subtype_Ioo_eq]
refine Finset.subtype_map_of_mem fun x hx => ?_
rw [mem_Ioo] at hx
exact hp hx.1.le hx.2.le a.prop b.prop
end LocallyFiniteOrder
section LocallyFiniteOrderTop
variable [LocallyFiniteOrderTop α] (a : Subtype p)
theorem subtype_Ici_eq : Ici a = (Ici (a : α)).subtype p :=
rfl
theorem subtype_Ioi_eq : Ioi a = (Ioi (a : α)).subtype p :=
rfl
theorem map_subtype_embedding_Ici (hp : ∀ ⦃a x⦄, a ≤ x → p a → p x) :
(Ici a).map (Embedding.subtype p) = (Ici a : Finset α) := by
rw [subtype_Ici_eq]
exact Finset.subtype_map_of_mem fun x hx => hp (mem_Ici.1 hx) a.prop
theorem map_subtype_embedding_Ioi (hp : ∀ ⦃a x⦄, a ≤ x → p a → p x) :
(Ioi a).map (Embedding.subtype p) = (Ioi a : Finset α) := by
rw [subtype_Ioi_eq]
exact Finset.subtype_map_of_mem fun x hx => hp (mem_Ioi.1 hx).le a.prop
end LocallyFiniteOrderTop
section LocallyFiniteOrderBot
variable [LocallyFiniteOrderBot α] (a : Subtype p)
theorem subtype_Iic_eq : Iic a = (Iic (a : α)).subtype p :=
rfl
theorem subtype_Iio_eq : Iio a = (Iio (a : α)).subtype p :=
rfl
theorem map_subtype_embedding_Iic (hp : ∀ ⦃a x⦄, x ≤ a → p a → p x) :
(Iic a).map (Embedding.subtype p) = (Iic a : Finset α) := by
rw [subtype_Iic_eq]
exact Finset.subtype_map_of_mem fun x hx => hp (mem_Iic.1 hx) a.prop
theorem map_subtype_embedding_Iio (hp : ∀ ⦃a x⦄, x ≤ a → p a → p x) :
(Iio a).map (Embedding.subtype p) = (Iio a : Finset α) := by
rw [subtype_Iio_eq]
exact Finset.subtype_map_of_mem fun x hx => hp (mem_Iio.1 hx).le a.prop
end LocallyFiniteOrderBot
end Finset
section Finite
variable {α : Type*} {s : Set α}
theorem BddBelow.finite_of_bddAbove [Preorder α] [LocallyFiniteOrder α]
| {s : Set α} (h₀ : BddBelow s) (h₁ : BddAbove s) :
s.Finite :=
let ⟨a, ha⟩ := h₀
| Mathlib/Order/Interval/Finset/Defs.lean | 1,198 | 1,200 |
/-
Copyright (c) 2020 Kyle Miller. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kyle Miller
-/
import Mathlib.Algebra.Group.End
import Mathlib.Data.ZMod.Defs
import Mathlib.Tactic.Ring
/-!
# Racks and Quandles
This file defines racks and quandles, algebraic structures for sets
that bijectively act on themselves with a self-distributivity
property. If `R` is a rack and `act : R → (R ≃ R)` is the self-action,
then the self-distributivity is, equivalently, that
```
act (act x y) = act x * act y * (act x)⁻¹
```
where multiplication is composition in `R ≃ R` as a group.
Quandles are racks such that `act x x = x` for all `x`.
One example of a quandle (not yet in mathlib) is the action of a Lie
algebra on itself, defined by `act x y = Ad (exp x) y`.
Quandles and racks were independently developed by multiple
mathematicians. David Joyce introduced quandles in his thesis
[Joyce1982] to define an algebraic invariant of knot and link
complements that is analogous to the fundamental group of the
exterior, and he showed that the quandle associated to an oriented
knot is invariant up to orientation-reversed mirror image. Racks were
used by Fenn and Rourke for framed codimension-2 knots and
links in [FennRourke1992]. Unital shelves are discussed in [crans2017].
The name "rack" came from wordplay by Conway and Wraith for the "wrack
and ruin" of forgetting everything but the conjugation operation for a
group.
## Main definitions
* `Shelf` is a type with a self-distributive action
* `UnitalShelf` is a shelf with a left and right unit
* `Rack` is a shelf whose action for each element is invertible
* `Quandle` is a rack whose action for an element fixes that element
* `Quandle.conj` defines a quandle of a group acting on itself by conjugation.
* `ShelfHom` is homomorphisms of shelves, racks, and quandles.
* `Rack.EnvelGroup` gives the universal group the rack maps to as a conjugation quandle.
* `Rack.oppositeRack` gives the rack with the action replaced by its inverse.
## Main statements
* `Rack.EnvelGroup` is left adjoint to `Quandle.Conj` (`toEnvelGroup.map`).
The universality statements are `toEnvelGroup.univ` and `toEnvelGroup.univ_uniq`.
## Implementation notes
"Unital racks" are uninteresting (see `Rack.assoc_iff_id`, `UnitalShelf.assoc`), so we do not
define them.
## Notation
The following notation is localized in `quandles`:
* `x ◃ y` is `Shelf.act x y`
* `x ◃⁻¹ y` is `Rack.inv_act x y`
* `S →◃ S'` is `ShelfHom S S'`
Use `open quandles` to use these.
## TODO
* If `g` is the Lie algebra of a Lie group `G`, then `(x ◃ y) = Ad (exp x) x` forms a quandle.
* If `X` is a symmetric space, then each point has a corresponding involution that acts on `X`,
forming a quandle.
* Alexander quandle with `a ◃ b = t * b + (1 - t) * b`, with `a` and `b` elements
of a module over `Z[t,t⁻¹]`.
* If `G` is a group, `H` a subgroup, and `z` in `H`, then there is a quandle `(G/H;z)` defined by
`yH ◃ xH = yzy⁻¹xH`. Every homogeneous quandle (i.e., a quandle `Q` whose automorphism group acts
transitively on `Q` as a set) is isomorphic to such a quandle.
There is a generalization to this arbitrary quandles in [Joyce's paper (Theorem 7.2)][Joyce1982].
## Tags
rack, quandle
-/
open MulOpposite
universe u v
/-- A *Shelf* is a structure with a self-distributive binary operation.
The binary operation is regarded as a left action of the type on itself.
-/
class Shelf (α : Type u) where
/-- The action of the `Shelf` over `α` -/
act : α → α → α
/-- A verification that `act` is self-distributive -/
self_distrib : ∀ {x y z : α}, act x (act y z) = act (act x y) (act x z)
/--
A *unital shelf* is a shelf equipped with an element `1` such that, for all elements `x`,
we have both `x ◃ 1` and `1 ◃ x` equal `x`.
-/
class UnitalShelf (α : Type u) extends Shelf α, One α where
one_act : ∀ a : α, act 1 a = a
act_one : ∀ a : α, act a 1 = a
/-- The type of homomorphisms between shelves.
This is also the notion of rack and quandle homomorphisms.
-/
@[ext]
structure ShelfHom (S₁ : Type*) (S₂ : Type*) [Shelf S₁] [Shelf S₂] where
/-- The function under the Shelf Homomorphism -/
toFun : S₁ → S₂
/-- The homomorphism property of a Shelf Homomorphism -/
map_act' : ∀ {x y : S₁}, toFun (Shelf.act x y) = Shelf.act (toFun x) (toFun y)
/-- A *rack* is an automorphic set (a set with an action on itself by
bijections) that is self-distributive. It is a shelf such that each
element's action is invertible.
The notations `x ◃ y` and `x ◃⁻¹ y` denote the action and the
inverse action, respectively, and they are right associative.
-/
class Rack (α : Type u) extends Shelf α where
/-- The inverse actions of the elements -/
invAct : α → α → α
/-- Proof of left inverse -/
left_inv : ∀ x, Function.LeftInverse (invAct x) (act x)
/-- Proof of right inverse -/
right_inv : ∀ x, Function.RightInverse (invAct x) (act x)
/-- Action of a Shelf -/
scoped[Quandles] infixr:65 " ◃ " => Shelf.act
/-- Inverse Action of a Rack -/
scoped[Quandles] infixr:65 " ◃⁻¹ " => Rack.invAct
/-- Shelf Homomorphism -/
scoped[Quandles] infixr:25 " →◃ " => ShelfHom
open Quandles
namespace UnitalShelf
open Shelf
variable {S : Type*} [UnitalShelf S]
/--
A monoid is *graphic* if, for all `x` and `y`, the *graphic identity*
`(x * y) * x = x * y` holds. For a unital shelf, this graphic
identity holds.
-/
lemma act_act_self_eq (x y : S) : (x ◃ y) ◃ x = x ◃ y := by
have h : (x ◃ y) ◃ x = (x ◃ y) ◃ (x ◃ 1) := by rw [act_one]
rw [h, ← Shelf.self_distrib, act_one]
lemma act_idem (x : S) : (x ◃ x) = x := by rw [← act_one x, ← Shelf.self_distrib, act_one]
lemma act_self_act_eq (x y : S) : x ◃ (x ◃ y) = x ◃ y := by
have h : x ◃ (x ◃ y) = (x ◃ 1) ◃ (x ◃ y) := by rw [act_one]
rw [h, ← Shelf.self_distrib, one_act]
/--
The associativity of a unital shelf comes for free.
-/
| lemma assoc (x y z : S) : (x ◃ y) ◃ z = x ◃ y ◃ z := by
| Mathlib/Algebra/Quandle.lean | 166 | 166 |
/-
Copyright (c) 2020 Riccardo Brasca. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Riccardo Brasca
-/
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Eval.Subring
import Mathlib.Algebra.Polynomial.Monic
/-!
# Polynomials that lift
Given semirings `R` and `S` with a morphism `f : R →+* S`, we define a subsemiring `lifts` of
`S[X]` by the image of `RingHom.of (map f)`.
Then, we prove that a polynomial that lifts can always be lifted to a polynomial of the same degree
and that a monic polynomial that lifts can be lifted to a monic polynomial (of the same degree).
## Main definition
* `lifts (f : R →+* S)` : the subsemiring of polynomials that lift.
## Main results
* `lifts_and_degree_eq` : A polynomial lifts if and only if it can be lifted to a polynomial
of the same degree.
* `lifts_and_degree_eq_and_monic` : A monic polynomial lifts if and only if it can be lifted to a
monic polynomial of the same degree.
* `lifts_iff_alg` : if `R` is commutative, a polynomial lifts if and only if it is in the image of
`mapAlg`, where `mapAlg : R[X] →ₐ[R] S[X]` is the only `R`-algebra map
that sends `X` to `X`.
## Implementation details
In general `R` and `S` are semiring, so `lifts` is a semiring. In the case of rings, see
`lifts_iff_lifts_ring`.
Since we do not assume `R` to be commutative, we cannot say in general that the set of polynomials
that lift is a subalgebra. (By `lift_iff` this is true if `R` is commutative.)
-/
open Polynomial
noncomputable section
namespace Polynomial
universe u v w
section Semiring
variable {R : Type u} [Semiring R] {S : Type v} [Semiring S] {f : R →+* S}
/-- We define the subsemiring of polynomials that lifts as the image of `RingHom.of (map f)`. -/
def lifts (f : R →+* S) : Subsemiring S[X] :=
RingHom.rangeS (mapRingHom f)
theorem mem_lifts (p : S[X]) : p ∈ lifts f ↔ ∃ q : R[X], map f q = p := by
simp only [coe_mapRingHom, lifts, RingHom.mem_rangeS]
theorem lifts_iff_set_range (p : S[X]) : p ∈ lifts f ↔ p ∈ Set.range (map f) := by
simp only [coe_mapRingHom, lifts, Set.mem_range, RingHom.mem_rangeS]
theorem lifts_iff_ringHom_rangeS (p : S[X]) : p ∈ lifts f ↔ p ∈ (mapRingHom f).rangeS := by
simp only [coe_mapRingHom, lifts, Set.mem_range, RingHom.mem_rangeS]
theorem lifts_iff_coeff_lifts (p : S[X]) : p ∈ lifts f ↔ ∀ n : ℕ, p.coeff n ∈ Set.range f := by
rw [lifts_iff_ringHom_rangeS, mem_map_rangeS f]
rfl
theorem lifts_iff_coeffs_subset_range (p : S[X]) :
p ∈ lifts f ↔ (p.coeffs : Set S) ⊆ Set.range f := by
rw [lifts_iff_coeff_lifts]
constructor
· intro h _ hc
obtain ⟨n, ⟨-, hn⟩⟩ := mem_coeffs_iff.mp hc
exact hn ▸ h n
· intro h n
by_cases hn : p.coeff n = 0
· exact ⟨0, by simp [hn]⟩
· exact h <| coeff_mem_coeffs _ _ hn
/-- If `(r : R)`, then `C (f r)` lifts. -/
theorem C_mem_lifts (f : R →+* S) (r : R) : C (f r) ∈ lifts f :=
⟨C r, by
simp only [coe_mapRingHom, map_C, Set.mem_univ, Subsemiring.coe_top, eq_self_iff_true,
and_self_iff]⟩
/-- If `(s : S)` is in the image of `f`, then `C s` lifts. -/
theorem C'_mem_lifts {f : R →+* S} {s : S} (h : s ∈ Set.range f) : C s ∈ lifts f := by
obtain ⟨r, rfl⟩ := Set.mem_range.1 h
use C r
simp only [coe_mapRingHom, map_C, Set.mem_univ, Subsemiring.coe_top, eq_self_iff_true,
and_self_iff]
/-- The polynomial `X` lifts. -/
theorem X_mem_lifts (f : R →+* S) : (X : S[X]) ∈ lifts f :=
⟨X, by
simp only [coe_mapRingHom, Set.mem_univ, Subsemiring.coe_top, eq_self_iff_true, map_X,
and_self_iff]⟩
/-- The polynomial `X ^ n` lifts. -/
theorem X_pow_mem_lifts (f : R →+* S) (n : ℕ) : (X ^ n : S[X]) ∈ lifts f :=
⟨X ^ n, by
simp only [coe_mapRingHom, map_pow, Set.mem_univ, Subsemiring.coe_top, eq_self_iff_true,
map_X, and_self_iff]⟩
/-- If `p` lifts and `(r : R)` then `r * p` lifts. -/
theorem base_mul_mem_lifts {p : S[X]} (r : R) (hp : p ∈ lifts f) : C (f r) * p ∈ lifts f := by
simp only [lifts, RingHom.mem_rangeS] at hp ⊢
obtain ⟨p₁, rfl⟩ := hp
use C r * p₁
simp only [coe_mapRingHom, map_C, map_mul]
/-- If `(s : S)` is in the image of `f`, then `monomial n s` lifts. -/
theorem monomial_mem_lifts {s : S} (n : ℕ) (h : s ∈ Set.range f) : monomial n s ∈ lifts f := by
obtain ⟨r, rfl⟩ := Set.mem_range.1 h
use monomial n r
simp only [coe_mapRingHom, Set.mem_univ, map_monomial, Subsemiring.coe_top, eq_self_iff_true,
and_self_iff]
/-- If `p` lifts then `p.erase n` lifts. -/
theorem erase_mem_lifts {p : S[X]} (n : ℕ) (h : p ∈ lifts f) : p.erase n ∈ lifts f := by
rw [lifts_iff_ringHom_rangeS, mem_map_rangeS] at h ⊢
intro k
by_cases hk : k = n
| · use 0
simp only [hk, RingHom.map_zero, erase_same]
obtain ⟨i, hi⟩ := h k
use i
simp only [hi, hk, erase_ne, Ne, not_false_iff]
section LiftDeg
theorem monomial_mem_lifts_and_degree_eq {s : S} {n : ℕ} (hl : monomial n s ∈ lifts f) :
| Mathlib/Algebra/Polynomial/Lifts.lean | 128 | 136 |
/-
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.OfAssociative
import Mathlib.Algebra.Lie.IdealOperations
/-!
# Trivial Lie modules and Abelian Lie algebras
The action of a Lie algebra `L` on a module `M` is trivial if `⁅x, m⁆ = 0` for all `x ∈ L` and
`m ∈ M`. In the special case that `M = L` with the adjoint action, triviality corresponds to the
concept of an Abelian Lie algebra.
In this file we define these concepts and provide some related definitions and results.
## Main definitions
* `LieModule.IsTrivial`
* `IsLieAbelian`
* `commutative_ring_iff_abelian_lie_ring`
* `LieModule.ker`
* `LieModule.maxTrivSubmodule`
* `LieAlgebra.center`
## Tags
lie algebra, abelian, commutative, center
-/
universe u v w w₁ w₂
/-- A Lie (ring) module is trivial iff all brackets vanish. -/
class LieModule.IsTrivial (L : Type v) (M : Type w) [Bracket L M] [Zero M] : Prop where
trivial : ∀ (x : L) (m : M), ⁅x, m⁆ = 0
@[simp]
theorem trivial_lie_zero (L : Type v) (M : Type w) [Bracket L M] [Zero M] [LieModule.IsTrivial L M]
(x : L) (m : M) : ⁅x, m⁆ = 0 :=
LieModule.IsTrivial.trivial x m
instance LieModule.instIsTrivialOfSubsingleton {L M : Type*}
[LieRing L] [AddCommGroup M] [LieRingModule L M] [Subsingleton L] : LieModule.IsTrivial L M :=
⟨fun x m ↦ by rw [Subsingleton.eq_zero x, zero_lie]⟩
instance LieModule.instIsTrivialOfSubsingleton' {L M : Type*}
[LieRing L] [AddCommGroup M] [LieRingModule L M] [Subsingleton M] : LieModule.IsTrivial L M :=
⟨fun x m ↦ by simp_rw [Subsingleton.eq_zero m, lie_zero]⟩
/-- A Lie algebra is Abelian iff it is trivial as a Lie module over itself. -/
abbrev IsLieAbelian (L : Type v) [Bracket L L] [Zero L] : Prop :=
LieModule.IsTrivial L L
instance LieIdeal.isLieAbelian_of_trivial (R : Type u) (L : Type v) [CommRing R] [LieRing L]
[LieAlgebra R L] (I : LieIdeal R L) [h : LieModule.IsTrivial L I] : IsLieAbelian I where
trivial x y := by apply h.trivial
theorem Function.Injective.isLieAbelian {R : Type u} {L₁ : Type v} {L₂ : Type w} [CommRing R]
[LieRing L₁] [LieRing L₂] [LieAlgebra R L₁] [LieAlgebra R L₂] {f : L₁ →ₗ⁅R⁆ L₂}
(h₁ : Function.Injective f) (_ : IsLieAbelian L₂) : IsLieAbelian L₁ :=
{ trivial := fun x y => h₁ <|
calc
f ⁅x, y⁆ = ⁅f x, f y⁆ := LieHom.map_lie f x y
_ = 0 := trivial_lie_zero _ _ _ _
_ = f 0 := f.map_zero.symm}
theorem Function.Surjective.isLieAbelian {R : Type u} {L₁ : Type v} {L₂ : Type w} [CommRing R]
[LieRing L₁] [LieRing L₂] [LieAlgebra R L₁] [LieAlgebra R L₂] {f : L₁ →ₗ⁅R⁆ L₂}
(h₁ : Function.Surjective f) (h₂ : IsLieAbelian L₁) : IsLieAbelian L₂ :=
{ trivial := fun x y => by
obtain ⟨u, rfl⟩ := h₁ x
obtain ⟨v, rfl⟩ := h₁ y
rw [← LieHom.map_lie, trivial_lie_zero, LieHom.map_zero] }
theorem lie_abelian_iff_equiv_lie_abelian {R : Type u} {L₁ : Type v} {L₂ : Type w} [CommRing R]
[LieRing L₁] [LieRing L₂] [LieAlgebra R L₁] [LieAlgebra R L₂] (e : L₁ ≃ₗ⁅R⁆ L₂) :
IsLieAbelian L₁ ↔ IsLieAbelian L₂ :=
⟨e.symm.injective.isLieAbelian, e.injective.isLieAbelian⟩
theorem commutative_ring_iff_abelian_lie_ring {A : Type v} [Ring A] :
Std.Commutative (α := A) (· * ·) ↔ IsLieAbelian A := by
have h₁ : Std.Commutative (α := A) (· * ·) ↔ ∀ a b : A, a * b = b * a :=
⟨fun h => h.1, fun h => ⟨h⟩⟩
have h₂ : IsLieAbelian A ↔ ∀ a b : A, ⁅a, b⁆ = 0 := ⟨fun h => h.1, fun h => ⟨h⟩⟩
simp only [h₁, h₂, LieRing.of_associative_ring_bracket, sub_eq_zero]
section Center
variable (R : Type u) (L : Type v) (M : Type w) (N : 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 N] [Module R N] [LieRingModule L N] [LieModule R L N]
namespace LieModule
/-- The kernel of the action of a Lie algebra `L` on a Lie module `M` as a Lie ideal in `L`. -/
protected def ker : LieIdeal R L :=
(toEnd R L M).ker
@[simp]
protected theorem mem_ker (x : L) : x ∈ LieModule.ker R L M ↔ ∀ m : M, ⁅x, m⁆ = 0 := by
simp only [LieModule.ker, LieHom.mem_ker, LinearMap.ext_iff, LinearMap.zero_apply,
toEnd_apply_apply]
lemma isFaithful_iff_ker_eq_bot : IsFaithful R L M ↔ LieModule.ker R L M = ⊥ := by
rw [isFaithful_iff', LieSubmodule.ext_iff]
aesop
@[simp] lemma ker_eq_bot [IsFaithful R L M] :
LieModule.ker R L M = ⊥ :=
(isFaithful_iff_ker_eq_bot R L M).mp inferInstance
/-- The largest submodule of a Lie module `M` on which the Lie algebra `L` acts trivially. -/
def maxTrivSubmodule : LieSubmodule R L M where
carrier := { m | ∀ x : L, ⁅x, m⁆ = 0 }
zero_mem' x := lie_zero x
add_mem' {x y} hx hy z := by rw [lie_add, hx, hy, add_zero]
smul_mem' c x hx y := by rw [lie_smul, hx, smul_zero]
lie_mem {x m} hm y := by rw [hm, lie_zero]
@[simp]
theorem mem_maxTrivSubmodule (m : M) : m ∈ maxTrivSubmodule R L M ↔ ∀ x : L, ⁅x, m⁆ = 0 :=
Iff.rfl
instance : IsTrivial L (maxTrivSubmodule R L M) where trivial x m := Subtype.ext (m.property x)
@[simp]
theorem ideal_oper_maxTrivSubmodule_eq_bot (I : LieIdeal R L) :
⁅I, maxTrivSubmodule R L M⁆ = ⊥ := by
rw [← LieSubmodule.toSubmodule_inj, LieSubmodule.lieIdeal_oper_eq_linear_span,
LieSubmodule.bot_toSubmodule, Submodule.span_eq_bot]
rintro m ⟨⟨x, hx⟩, ⟨⟨m, hm⟩, rfl⟩⟩
exact hm x
|
theorem le_max_triv_iff_bracket_eq_bot {N : LieSubmodule R L M} :
N ≤ maxTrivSubmodule R L M ↔ ⁅(⊤ : LieIdeal R L), N⁆ = ⊥ := by
refine ⟨fun h => ?_, fun h m hm => ?_⟩
· rw [← le_bot_iff, ← ideal_oper_maxTrivSubmodule_eq_bot R L M ⊤]
exact LieSubmodule.mono_lie_right ⊤ h
| Mathlib/Algebra/Lie/Abelian.lean | 136 | 141 |
/-
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.Algebra.ModEq
import Mathlib.Algebra.Order.Archimedean.Basic
import Mathlib.Algebra.Ring.Periodic
import Mathlib.Data.Int.SuccPred
import Mathlib.Order.Circular
/-!
# Reducing to an interval modulo its length
This file defines operations that reduce a number (in an `Archimedean`
`LinearOrderedAddCommGroup`) to a number in a given interval, modulo the length of that
interval.
## Main definitions
* `toIcoDiv hp a b` (where `hp : 0 < p`): The unique integer such that this multiple of `p`,
subtracted from `b`, is in `Ico a (a + p)`.
* `toIcoMod hp a b` (where `hp : 0 < p`): Reduce `b` to the interval `Ico a (a + p)`.
* `toIocDiv hp a b` (where `hp : 0 < p`): The unique integer such that this multiple of `p`,
subtracted from `b`, is in `Ioc a (a + p)`.
* `toIocMod hp a b` (where `hp : 0 < p`): Reduce `b` to the interval `Ioc a (a + p)`.
-/
assert_not_exists TwoSidedIdeal
noncomputable section
section LinearOrderedAddCommGroup
variable {α : Type*} [AddCommGroup α] [LinearOrder α] [IsOrderedAddMonoid α] [hα : Archimedean α]
{p : α} (hp : 0 < p)
{a b c : α} {n : ℤ}
section
include hp
/--
The unique integer such that this multiple of `p`, subtracted from `b`, is in `Ico a (a + p)`. -/
def toIcoDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose
theorem sub_toIcoDiv_zsmul_mem_Ico (a b : α) : b - toIcoDiv hp a b • p ∈ Set.Ico a (a + p) :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.1
theorem toIcoDiv_eq_of_sub_zsmul_mem_Ico (h : b - n • p ∈ Set.Ico a (a + p)) :
toIcoDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.2 _ h).symm
/--
The unique integer such that this multiple of `p`, subtracted from `b`, is in `Ioc a (a + p)`. -/
def toIocDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose
theorem sub_toIocDiv_zsmul_mem_Ioc (a b : α) : b - toIocDiv hp a b • p ∈ Set.Ioc a (a + p) :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.1
theorem toIocDiv_eq_of_sub_zsmul_mem_Ioc (h : b - n • p ∈ Set.Ioc a (a + p)) :
toIocDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.2 _ h).symm
/-- Reduce `b` to the interval `Ico a (a + p)`. -/
def toIcoMod (a b : α) : α :=
b - toIcoDiv hp a b • p
/-- Reduce `b` to the interval `Ioc a (a + p)`. -/
def toIocMod (a b : α) : α :=
b - toIocDiv hp a b • p
theorem toIcoMod_mem_Ico (a b : α) : toIcoMod hp a b ∈ Set.Ico a (a + p) :=
sub_toIcoDiv_zsmul_mem_Ico hp a b
theorem toIcoMod_mem_Ico' (b : α) : toIcoMod hp 0 b ∈ Set.Ico 0 p := by
convert toIcoMod_mem_Ico hp 0 b
exact (zero_add p).symm
theorem toIocMod_mem_Ioc (a b : α) : toIocMod hp a b ∈ Set.Ioc a (a + p) :=
sub_toIocDiv_zsmul_mem_Ioc hp a b
theorem left_le_toIcoMod (a b : α) : a ≤ toIcoMod hp a b :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).1
theorem left_lt_toIocMod (a b : α) : a < toIocMod hp a b :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).1
theorem toIcoMod_lt_right (a b : α) : toIcoMod hp a b < a + p :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).2
theorem toIocMod_le_right (a b : α) : toIocMod hp a b ≤ a + p :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).2
@[simp]
theorem self_sub_toIcoDiv_zsmul (a b : α) : b - toIcoDiv hp a b • p = toIcoMod hp a b :=
rfl
@[simp]
theorem self_sub_toIocDiv_zsmul (a b : α) : b - toIocDiv hp a b • p = toIocMod hp a b :=
rfl
@[simp]
theorem toIcoDiv_zsmul_sub_self (a b : α) : toIcoDiv hp a b • p - b = -toIcoMod hp a b := by
rw [toIcoMod, neg_sub]
@[simp]
theorem toIocDiv_zsmul_sub_self (a b : α) : toIocDiv hp a b • p - b = -toIocMod hp a b := by
rw [toIocMod, neg_sub]
@[simp]
theorem toIcoMod_sub_self (a b : α) : toIcoMod hp a b - b = -toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel_left, neg_smul]
@[simp]
theorem toIocMod_sub_self (a b : α) : toIocMod hp a b - b = -toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel_left, neg_smul]
@[simp]
theorem self_sub_toIcoMod (a b : α) : b - toIcoMod hp a b = toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel]
@[simp]
theorem self_sub_toIocMod (a b : α) : b - toIocMod hp a b = toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel]
@[simp]
theorem toIcoMod_add_toIcoDiv_zsmul (a b : α) : toIcoMod hp a b + toIcoDiv hp a b • p = b := by
rw [toIcoMod, sub_add_cancel]
@[simp]
theorem toIocMod_add_toIocDiv_zsmul (a b : α) : toIocMod hp a b + toIocDiv hp a b • p = b := by
rw [toIocMod, sub_add_cancel]
@[simp]
theorem toIcoDiv_zsmul_sub_toIcoMod (a b : α) : toIcoDiv hp a b • p + toIcoMod hp a b = b := by
rw [add_comm, toIcoMod_add_toIcoDiv_zsmul]
@[simp]
theorem toIocDiv_zsmul_sub_toIocMod (a b : α) : toIocDiv hp a b • p + toIocMod hp a b = b := by
rw [add_comm, toIocMod_add_toIocDiv_zsmul]
theorem toIcoMod_eq_iff : toIcoMod hp a b = c ↔ c ∈ Set.Ico a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIcoMod_mem_Ico hp a b, toIcoDiv hp a b, h ▸ (toIcoMod_add_toIcoDiv_zsmul _ _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIcoDiv_eq_of_sub_zsmul_mem_Ico hp hc, toIcoMod]
theorem toIocMod_eq_iff : toIocMod hp a b = c ↔ c ∈ Set.Ioc a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIocMod_mem_Ioc hp a b, toIocDiv hp a b, h ▸ (toIocMod_add_toIocDiv_zsmul hp _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIocDiv_eq_of_sub_zsmul_mem_Ioc hp hc, toIocMod]
@[simp]
theorem toIcoDiv_apply_left (a : α) : toIcoDiv hp a a = 0 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
@[simp]
theorem toIocDiv_apply_left (a : α) : toIocDiv hp a a = -1 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
@[simp]
theorem toIcoMod_apply_left (a : α) : toIcoMod hp a a = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
@[simp]
theorem toIocMod_apply_left (a : α) : toIocMod hp a a = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, -1, by simp⟩
theorem toIcoDiv_apply_right (a : α) : toIcoDiv hp a (a + p) = 1 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
theorem toIocDiv_apply_right (a : α) : toIocDiv hp a (a + p) = 0 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
theorem toIcoMod_apply_right (a : α) : toIcoMod hp a (a + p) = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 1, by simp⟩
theorem toIocMod_apply_right (a : α) : toIocMod hp a (a + p) = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
@[simp]
theorem toIcoDiv_add_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b + m • p) = toIcoDiv hp a b + m :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIcoDiv_zsmul_mem_Ico hp a b
@[simp]
theorem toIcoDiv_add_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a + m • p) b = toIcoDiv hp a b - m := by
refine toIcoDiv_eq_of_sub_zsmul_mem_Ico _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIcoDiv_zsmul_mem_Ico hp a b
@[simp]
theorem toIocDiv_add_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b + m • p) = toIocDiv hp a b + m :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIocDiv_zsmul_mem_Ioc hp a b
@[simp]
theorem toIocDiv_add_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a + m • p) b = toIocDiv hp a b - m := by
refine toIocDiv_eq_of_sub_zsmul_mem_Ioc _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIocDiv_zsmul_mem_Ioc hp a b
@[simp]
theorem toIcoDiv_zsmul_add (a b : α) (m : ℤ) : toIcoDiv hp a (m • p + b) = m + toIcoDiv hp a b := by
rw [add_comm, toIcoDiv_add_zsmul, add_comm]
/-! Note we omit `toIcoDiv_zsmul_add'` as `-m + toIcoDiv hp a b` is not very convenient. -/
@[simp]
theorem toIocDiv_zsmul_add (a b : α) (m : ℤ) : toIocDiv hp a (m • p + b) = m + toIocDiv hp a b := by
rw [add_comm, toIocDiv_add_zsmul, add_comm]
/-! Note we omit `toIocDiv_zsmul_add'` as `-m + toIocDiv hp a b` is not very convenient. -/
@[simp]
theorem toIcoDiv_sub_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b - m • p) = toIcoDiv hp a b - m := by
rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul, sub_eq_add_neg]
@[simp]
theorem toIcoDiv_sub_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a - m • p) b = toIcoDiv hp a b + m := by
rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul', sub_neg_eq_add]
@[simp]
theorem toIocDiv_sub_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b - m • p) = toIocDiv hp a b - m := by
rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul, sub_eq_add_neg]
@[simp]
theorem toIocDiv_sub_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a - m • p) b = toIocDiv hp a b + m := by
rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul', sub_neg_eq_add]
@[simp]
theorem toIcoDiv_add_right (a b : α) : toIcoDiv hp a (b + p) = toIcoDiv hp a b + 1 := by
simpa only [one_zsmul] using toIcoDiv_add_zsmul hp a b 1
@[simp]
theorem toIcoDiv_add_right' (a b : α) : toIcoDiv hp (a + p) b = toIcoDiv hp a b - 1 := by
simpa only [one_zsmul] using toIcoDiv_add_zsmul' hp a b 1
@[simp]
theorem toIocDiv_add_right (a b : α) : toIocDiv hp a (b + p) = toIocDiv hp a b + 1 := by
simpa only [one_zsmul] using toIocDiv_add_zsmul hp a b 1
@[simp]
theorem toIocDiv_add_right' (a b : α) : toIocDiv hp (a + p) b = toIocDiv hp a b - 1 := by
simpa only [one_zsmul] using toIocDiv_add_zsmul' hp a b 1
@[simp]
theorem toIcoDiv_add_left (a b : α) : toIcoDiv hp a (p + b) = toIcoDiv hp a b + 1 := by
rw [add_comm, toIcoDiv_add_right]
@[simp]
theorem toIcoDiv_add_left' (a b : α) : toIcoDiv hp (p + a) b = toIcoDiv hp a b - 1 := by
rw [add_comm, toIcoDiv_add_right']
@[simp]
theorem toIocDiv_add_left (a b : α) : toIocDiv hp a (p + b) = toIocDiv hp a b + 1 := by
rw [add_comm, toIocDiv_add_right]
@[simp]
theorem toIocDiv_add_left' (a b : α) : toIocDiv hp (p + a) b = toIocDiv hp a b - 1 := by
rw [add_comm, toIocDiv_add_right']
@[simp]
theorem toIcoDiv_sub (a b : α) : toIcoDiv hp a (b - p) = toIcoDiv hp a b - 1 := by
simpa only [one_zsmul] using toIcoDiv_sub_zsmul hp a b 1
@[simp]
theorem toIcoDiv_sub' (a b : α) : toIcoDiv hp (a - p) b = toIcoDiv hp a b + 1 := by
simpa only [one_zsmul] using toIcoDiv_sub_zsmul' hp a b 1
@[simp]
theorem toIocDiv_sub (a b : α) : toIocDiv hp a (b - p) = toIocDiv hp a b - 1 := by
simpa only [one_zsmul] using toIocDiv_sub_zsmul hp a b 1
@[simp]
theorem toIocDiv_sub' (a b : α) : toIocDiv hp (a - p) b = toIocDiv hp a b + 1 := by
simpa only [one_zsmul] using toIocDiv_sub_zsmul' hp a b 1
theorem toIcoDiv_sub_eq_toIcoDiv_add (a b c : α) :
toIcoDiv hp a (b - c) = toIcoDiv hp (a + c) b := by
apply toIcoDiv_eq_of_sub_zsmul_mem_Ico
rw [← sub_right_comm, Set.sub_mem_Ico_iff_left, add_right_comm]
exact sub_toIcoDiv_zsmul_mem_Ico hp (a + c) b
theorem toIocDiv_sub_eq_toIocDiv_add (a b c : α) :
toIocDiv hp a (b - c) = toIocDiv hp (a + c) b := by
apply toIocDiv_eq_of_sub_zsmul_mem_Ioc
rw [← sub_right_comm, Set.sub_mem_Ioc_iff_left, add_right_comm]
exact sub_toIocDiv_zsmul_mem_Ioc hp (a + c) b
theorem toIcoDiv_sub_eq_toIcoDiv_add' (a b c : α) :
toIcoDiv hp (a - c) b = toIcoDiv hp a (b + c) := by
rw [← sub_neg_eq_add, toIcoDiv_sub_eq_toIcoDiv_add, sub_eq_add_neg]
theorem toIocDiv_sub_eq_toIocDiv_add' (a b c : α) :
toIocDiv hp (a - c) b = toIocDiv hp a (b + c) := by
rw [← sub_neg_eq_add, toIocDiv_sub_eq_toIocDiv_add, sub_eq_add_neg]
theorem toIcoDiv_neg (a b : α) : toIcoDiv hp a (-b) = -(toIocDiv hp (-a) b + 1) := by
suffices toIcoDiv hp a (-b) = -toIocDiv hp (-(a + p)) b by
rwa [neg_add, ← sub_eq_add_neg, toIocDiv_sub_eq_toIocDiv_add', toIocDiv_add_right] at this
rw [← neg_eq_iff_eq_neg, eq_comm]
apply toIocDiv_eq_of_sub_zsmul_mem_Ioc
obtain ⟨hc, ho⟩ := sub_toIcoDiv_zsmul_mem_Ico hp a (-b)
rw [← neg_lt_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at ho
rw [← neg_le_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at hc
refine ⟨ho, hc.trans_eq ?_⟩
rw [neg_add, neg_add_cancel_right]
theorem toIcoDiv_neg' (a b : α) : toIcoDiv hp (-a) b = -(toIocDiv hp a (-b) + 1) := by
simpa only [neg_neg] using toIcoDiv_neg hp (-a) (-b)
theorem toIocDiv_neg (a b : α) : toIocDiv hp a (-b) = -(toIcoDiv hp (-a) b + 1) := by
rw [← neg_neg b, toIcoDiv_neg, neg_neg, neg_neg, neg_add', neg_neg, add_sub_cancel_right]
theorem toIocDiv_neg' (a b : α) : toIocDiv hp (-a) b = -(toIcoDiv hp a (-b) + 1) := by
simpa only [neg_neg] using toIocDiv_neg hp (-a) (-b)
@[simp]
theorem toIcoMod_add_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b + m • p) = toIcoMod hp a b := by
rw [toIcoMod, toIcoDiv_add_zsmul, toIcoMod, add_smul]
abel
@[simp]
theorem toIcoMod_add_zsmul' (a b : α) (m : ℤ) :
toIcoMod hp (a + m • p) b = toIcoMod hp a b + m • p := by
simp only [toIcoMod, toIcoDiv_add_zsmul', sub_smul, sub_add]
@[simp]
theorem toIocMod_add_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b + m • p) = toIocMod hp a b := by
rw [toIocMod, toIocDiv_add_zsmul, toIocMod, add_smul]
abel
@[simp]
theorem toIocMod_add_zsmul' (a b : α) (m : ℤ) :
toIocMod hp (a + m • p) b = toIocMod hp a b + m • p := by
simp only [toIocMod, toIocDiv_add_zsmul', sub_smul, sub_add]
@[simp]
theorem toIcoMod_zsmul_add (a b : α) (m : ℤ) : toIcoMod hp a (m • p + b) = toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_zsmul]
@[simp]
theorem toIcoMod_zsmul_add' (a b : α) (m : ℤ) :
toIcoMod hp (m • p + a) b = m • p + toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_zsmul', add_comm]
@[simp]
theorem toIocMod_zsmul_add (a b : α) (m : ℤ) : toIocMod hp a (m • p + b) = toIocMod hp a b := by
rw [add_comm, toIocMod_add_zsmul]
@[simp]
theorem toIocMod_zsmul_add' (a b : α) (m : ℤ) :
toIocMod hp (m • p + a) b = m • p + toIocMod hp a b := by
rw [add_comm, toIocMod_add_zsmul', add_comm]
@[simp]
theorem toIcoMod_sub_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b - m • p) = toIcoMod hp a b := by
rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul]
@[simp]
theorem toIcoMod_sub_zsmul' (a b : α) (m : ℤ) :
toIcoMod hp (a - m • p) b = toIcoMod hp a b - m • p := by
simp_rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul']
@[simp]
theorem toIocMod_sub_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b - m • p) = toIocMod hp a b := by
rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul]
@[simp]
theorem toIocMod_sub_zsmul' (a b : α) (m : ℤ) :
toIocMod hp (a - m • p) b = toIocMod hp a b - m • p := by
simp_rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul']
@[simp]
theorem toIcoMod_add_right (a b : α) : toIcoMod hp a (b + p) = toIcoMod hp a b := by
simpa only [one_zsmul] using toIcoMod_add_zsmul hp a b 1
@[simp]
theorem toIcoMod_add_right' (a b : α) : toIcoMod hp (a + p) b = toIcoMod hp a b + p := by
simpa only [one_zsmul] using toIcoMod_add_zsmul' hp a b 1
@[simp]
theorem toIocMod_add_right (a b : α) : toIocMod hp a (b + p) = toIocMod hp a b := by
simpa only [one_zsmul] using toIocMod_add_zsmul hp a b 1
@[simp]
theorem toIocMod_add_right' (a b : α) : toIocMod hp (a + p) b = toIocMod hp a b + p := by
simpa only [one_zsmul] using toIocMod_add_zsmul' hp a b 1
@[simp]
theorem toIcoMod_add_left (a b : α) : toIcoMod hp a (p + b) = toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_right]
@[simp]
theorem toIcoMod_add_left' (a b : α) : toIcoMod hp (p + a) b = p + toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_right', add_comm]
@[simp]
theorem toIocMod_add_left (a b : α) : toIocMod hp a (p + b) = toIocMod hp a b := by
rw [add_comm, toIocMod_add_right]
@[simp]
theorem toIocMod_add_left' (a b : α) : toIocMod hp (p + a) b = p + toIocMod hp a b := by
rw [add_comm, toIocMod_add_right', add_comm]
@[simp]
theorem toIcoMod_sub (a b : α) : toIcoMod hp a (b - p) = toIcoMod hp a b := by
simpa only [one_zsmul] using toIcoMod_sub_zsmul hp a b 1
@[simp]
theorem toIcoMod_sub' (a b : α) : toIcoMod hp (a - p) b = toIcoMod hp a b - p := by
simpa only [one_zsmul] using toIcoMod_sub_zsmul' hp a b 1
@[simp]
theorem toIocMod_sub (a b : α) : toIocMod hp a (b - p) = toIocMod hp a b := by
simpa only [one_zsmul] using toIocMod_sub_zsmul hp a b 1
@[simp]
theorem toIocMod_sub' (a b : α) : toIocMod hp (a - p) b = toIocMod hp a b - p := by
simpa only [one_zsmul] using toIocMod_sub_zsmul' hp a b 1
theorem toIcoMod_sub_eq_sub (a b c : α) : toIcoMod hp a (b - c) = toIcoMod hp (a + c) b - c := by
simp_rw [toIcoMod, toIcoDiv_sub_eq_toIcoDiv_add, sub_right_comm]
theorem toIocMod_sub_eq_sub (a b c : α) : toIocMod hp a (b - c) = toIocMod hp (a + c) b - c := by
simp_rw [toIocMod, toIocDiv_sub_eq_toIocDiv_add, sub_right_comm]
theorem toIcoMod_add_right_eq_add (a b c : α) :
toIcoMod hp a (b + c) = toIcoMod hp (a - c) b + c := by
simp_rw [toIcoMod, toIcoDiv_sub_eq_toIcoDiv_add', sub_add_eq_add_sub]
theorem toIocMod_add_right_eq_add (a b c : α) :
toIocMod hp a (b + c) = toIocMod hp (a - c) b + c := by
simp_rw [toIocMod, toIocDiv_sub_eq_toIocDiv_add', sub_add_eq_add_sub]
theorem toIcoMod_neg (a b : α) : toIcoMod hp a (-b) = p - toIocMod hp (-a) b := by
simp_rw [toIcoMod, toIocMod, toIcoDiv_neg, neg_smul, add_smul]
abel
theorem toIcoMod_neg' (a b : α) : toIcoMod hp (-a) b = p - toIocMod hp a (-b) := by
simpa only [neg_neg] using toIcoMod_neg hp (-a) (-b)
theorem toIocMod_neg (a b : α) : toIocMod hp a (-b) = p - toIcoMod hp (-a) b := by
simp_rw [toIocMod, toIcoMod, toIocDiv_neg, neg_smul, add_smul]
abel
theorem toIocMod_neg' (a b : α) : toIocMod hp (-a) b = p - toIcoMod hp a (-b) := by
simpa only [neg_neg] using toIocMod_neg hp (-a) (-b)
theorem toIcoMod_eq_toIcoMod : toIcoMod hp a b = toIcoMod hp a c ↔ ∃ n : ℤ, c - b = n • p := by
refine ⟨fun h => ⟨toIcoDiv hp a c - toIcoDiv hp a b, ?_⟩, fun h => ?_⟩
· conv_lhs => rw [← toIcoMod_add_toIcoDiv_zsmul hp a b, ← toIcoMod_add_toIcoDiv_zsmul hp a c]
rw [h, sub_smul]
abel
· rcases h with ⟨z, hz⟩
rw [sub_eq_iff_eq_add] at hz
rw [hz, toIcoMod_zsmul_add]
theorem toIocMod_eq_toIocMod : toIocMod hp a b = toIocMod hp a c ↔ ∃ n : ℤ, c - b = n • p := by
refine ⟨fun h => ⟨toIocDiv hp a c - toIocDiv hp a b, ?_⟩, fun h => ?_⟩
· conv_lhs => rw [← toIocMod_add_toIocDiv_zsmul hp a b, ← toIocMod_add_toIocDiv_zsmul hp a c]
rw [h, sub_smul]
abel
· rcases h with ⟨z, hz⟩
rw [sub_eq_iff_eq_add] at hz
rw [hz, toIocMod_zsmul_add]
/-! ### Links between the `Ico` and `Ioc` variants applied to the same element -/
section IcoIoc
namespace AddCommGroup
theorem modEq_iff_toIcoMod_eq_left : a ≡ b [PMOD p] ↔ toIcoMod hp a b = a :=
modEq_iff_eq_add_zsmul.trans
⟨by
rintro ⟨n, rfl⟩
rw [toIcoMod_add_zsmul, toIcoMod_apply_left], fun h => ⟨toIcoDiv hp a b, eq_add_of_sub_eq h⟩⟩
theorem modEq_iff_toIocMod_eq_right : a ≡ b [PMOD p] ↔ toIocMod hp a b = a + p := by
refine modEq_iff_eq_add_zsmul.trans ⟨?_, fun h => ⟨toIocDiv hp a b + 1, ?_⟩⟩
· rintro ⟨z, rfl⟩
rw [toIocMod_add_zsmul, toIocMod_apply_left]
· rwa [add_one_zsmul, add_left_comm, ← sub_eq_iff_eq_add']
alias ⟨ModEq.toIcoMod_eq_left, _⟩ := modEq_iff_toIcoMod_eq_left
alias ⟨ModEq.toIcoMod_eq_right, _⟩ := modEq_iff_toIocMod_eq_right
variable (a b)
open List in
theorem tfae_modEq :
TFAE
[a ≡ b [PMOD p], ∀ z : ℤ, b - z • p ∉ Set.Ioo a (a + p), toIcoMod hp a b ≠ toIocMod hp a b,
toIcoMod hp a b + p = toIocMod hp a b] := by
rw [modEq_iff_toIcoMod_eq_left hp]
tfae_have 3 → 2 := by
rw [← not_exists, not_imp_not]
exact fun ⟨i, hi⟩ =>
((toIcoMod_eq_iff hp).2 ⟨Set.Ioo_subset_Ico_self hi, i, (sub_add_cancel b _).symm⟩).trans
((toIocMod_eq_iff hp).2 ⟨Set.Ioo_subset_Ioc_self hi, i, (sub_add_cancel b _).symm⟩).symm
tfae_have 4 → 3
| h => by
rw [← h, Ne, eq_comm, add_eq_left]
exact hp.ne'
tfae_have 1 → 4
| h => by
rw [h, eq_comm, toIocMod_eq_iff, Set.right_mem_Ioc]
refine ⟨lt_add_of_pos_right a hp, toIcoDiv hp a b - 1, ?_⟩
rw [sub_one_zsmul, add_add_add_comm, add_neg_cancel, add_zero]
conv_lhs => rw [← toIcoMod_add_toIcoDiv_zsmul hp a b, h]
tfae_have 2 → 1 := by
rw [← not_exists, not_imp_comm]
have h' := toIcoMod_mem_Ico hp a b
exact fun h => ⟨_, h'.1.lt_of_ne' h, h'.2⟩
tfae_finish
variable {a b}
theorem modEq_iff_not_forall_mem_Ioo_mod :
a ≡ b [PMOD p] ↔ ∀ z : ℤ, b - z • p ∉ Set.Ioo a (a + p) :=
(tfae_modEq hp a b).out 0 1
theorem modEq_iff_toIcoMod_ne_toIocMod : a ≡ b [PMOD p] ↔ toIcoMod hp a b ≠ toIocMod hp a b :=
(tfae_modEq hp a b).out 0 2
theorem modEq_iff_toIcoMod_add_period_eq_toIocMod :
a ≡ b [PMOD p] ↔ toIcoMod hp a b + p = toIocMod hp a b :=
(tfae_modEq hp a b).out 0 3
theorem not_modEq_iff_toIcoMod_eq_toIocMod : ¬a ≡ b [PMOD p] ↔ toIcoMod hp a b = toIocMod hp a b :=
(modEq_iff_toIcoMod_ne_toIocMod _).not_left
theorem not_modEq_iff_toIcoDiv_eq_toIocDiv :
¬a ≡ b [PMOD p] ↔ toIcoDiv hp a b = toIocDiv hp a b := by
rw [not_modEq_iff_toIcoMod_eq_toIocMod hp, toIcoMod, toIocMod, sub_right_inj,
zsmul_left_inj hp]
theorem modEq_iff_toIcoDiv_eq_toIocDiv_add_one :
a ≡ b [PMOD p] ↔ toIcoDiv hp a b = toIocDiv hp a b + 1 := by
rw [modEq_iff_toIcoMod_add_period_eq_toIocMod hp, toIcoMod, toIocMod, ← eq_sub_iff_add_eq,
sub_sub, sub_right_inj, ← add_one_zsmul, zsmul_left_inj hp]
end AddCommGroup
open AddCommGroup
/-- If `a` and `b` fall within the same cycle WRT `c`, then they are congruent modulo `p`. -/
@[simp]
theorem toIcoMod_inj {c : α} : toIcoMod hp c a = toIcoMod hp c b ↔ a ≡ b [PMOD p] := by
simp_rw [toIcoMod_eq_toIcoMod, modEq_iff_eq_add_zsmul, sub_eq_iff_eq_add']
alias ⟨_, AddCommGroup.ModEq.toIcoMod_eq_toIcoMod⟩ := toIcoMod_inj
theorem Ico_eq_locus_Ioc_eq_iUnion_Ioo :
{ b | toIcoMod hp a b = toIocMod hp a b } = ⋃ z : ℤ, Set.Ioo (a + z • p) (a + p + z • p) := by
ext1
simp_rw [Set.mem_setOf, Set.mem_iUnion, ← Set.sub_mem_Ioo_iff_left, ←
not_modEq_iff_toIcoMod_eq_toIocMod, modEq_iff_not_forall_mem_Ioo_mod hp, not_forall,
Classical.not_not]
theorem toIocDiv_wcovBy_toIcoDiv (a b : α) : toIocDiv hp a b ⩿ toIcoDiv hp a b := by
suffices toIocDiv hp a b = toIcoDiv hp a b ∨ toIocDiv hp a b + 1 = toIcoDiv hp a b by
rwa [wcovBy_iff_eq_or_covBy, ← Order.succ_eq_iff_covBy]
rw [eq_comm, ← not_modEq_iff_toIcoDiv_eq_toIocDiv, eq_comm, ←
modEq_iff_toIcoDiv_eq_toIocDiv_add_one]
exact em' _
theorem toIcoMod_le_toIocMod (a b : α) : toIcoMod hp a b ≤ toIocMod hp a b := by
rw [toIcoMod, toIocMod, sub_le_sub_iff_left]
exact zsmul_left_mono hp.le (toIocDiv_wcovBy_toIcoDiv _ _ _).le
theorem toIocMod_le_toIcoMod_add (a b : α) : toIocMod hp a b ≤ toIcoMod hp a b + p := by
rw [toIcoMod, toIocMod, sub_add, sub_le_sub_iff_left, sub_le_iff_le_add, ← add_one_zsmul,
(zsmul_left_strictMono hp).le_iff_le]
apply (toIocDiv_wcovBy_toIcoDiv _ _ _).le_succ
end IcoIoc
open AddCommGroup
theorem toIcoMod_eq_self : toIcoMod hp a b = b ↔ b ∈ Set.Ico a (a + p) := by
rw [toIcoMod_eq_iff, and_iff_left]
exact ⟨0, by simp⟩
theorem toIocMod_eq_self : toIocMod hp a b = b ↔ b ∈ Set.Ioc a (a + p) := by
rw [toIocMod_eq_iff, and_iff_left]
exact ⟨0, by simp⟩
@[simp]
theorem toIcoMod_toIcoMod (a₁ a₂ b : α) : toIcoMod hp a₁ (toIcoMod hp a₂ b) = toIcoMod hp a₁ b :=
(toIcoMod_eq_toIcoMod _).2 ⟨toIcoDiv hp a₂ b, self_sub_toIcoMod hp a₂ b⟩
@[simp]
theorem toIcoMod_toIocMod (a₁ a₂ b : α) : toIcoMod hp a₁ (toIocMod hp a₂ b) = toIcoMod hp a₁ b :=
(toIcoMod_eq_toIcoMod _).2 ⟨toIocDiv hp a₂ b, self_sub_toIocMod hp a₂ b⟩
@[simp]
theorem toIocMod_toIocMod (a₁ a₂ b : α) : toIocMod hp a₁ (toIocMod hp a₂ b) = toIocMod hp a₁ b :=
(toIocMod_eq_toIocMod _).2 ⟨toIocDiv hp a₂ b, self_sub_toIocMod hp a₂ b⟩
@[simp]
theorem toIocMod_toIcoMod (a₁ a₂ b : α) : toIocMod hp a₁ (toIcoMod hp a₂ b) = toIocMod hp a₁ b :=
(toIocMod_eq_toIocMod _).2 ⟨toIcoDiv hp a₂ b, self_sub_toIcoMod hp a₂ b⟩
theorem toIcoMod_periodic (a : α) : Function.Periodic (toIcoMod hp a) p :=
toIcoMod_add_right hp a
theorem toIocMod_periodic (a : α) : Function.Periodic (toIocMod hp a) p :=
toIocMod_add_right hp a
-- helper lemmas for when `a = 0`
section Zero
theorem toIcoMod_zero_sub_comm (a b : α) : toIcoMod hp 0 (a - b) = p - toIocMod hp 0 (b - a) := by
rw [← neg_sub, toIcoMod_neg, neg_zero]
theorem toIocMod_zero_sub_comm (a b : α) : toIocMod hp 0 (a - b) = p - toIcoMod hp 0 (b - a) := by
rw [← neg_sub, toIocMod_neg, neg_zero]
theorem toIcoDiv_eq_sub (a b : α) : toIcoDiv hp a b = toIcoDiv hp 0 (b - a) := by
rw [toIcoDiv_sub_eq_toIcoDiv_add, zero_add]
theorem toIocDiv_eq_sub (a b : α) : toIocDiv hp a b = toIocDiv hp 0 (b - a) := by
rw [toIocDiv_sub_eq_toIocDiv_add, zero_add]
theorem toIcoMod_eq_sub (a b : α) : toIcoMod hp a b = toIcoMod hp 0 (b - a) + a := by
rw [toIcoMod_sub_eq_sub, zero_add, sub_add_cancel]
theorem toIocMod_eq_sub (a b : α) : toIocMod hp a b = toIocMod hp 0 (b - a) + a := by
rw [toIocMod_sub_eq_sub, zero_add, sub_add_cancel]
theorem toIcoMod_add_toIocMod_zero (a b : α) :
toIcoMod hp 0 (a - b) + toIocMod hp 0 (b - a) = p := by
rw [toIcoMod_zero_sub_comm, sub_add_cancel]
theorem toIocMod_add_toIcoMod_zero (a b : α) :
toIocMod hp 0 (a - b) + toIcoMod hp 0 (b - a) = p := by
rw [_root_.add_comm, toIcoMod_add_toIocMod_zero]
end Zero
/-- `toIcoMod` as an equiv from the quotient. -/
@[simps symm_apply]
def QuotientAddGroup.equivIcoMod (a : α) : α ⧸ AddSubgroup.zmultiples p ≃ Set.Ico a (a + p) where
toFun b :=
⟨(toIcoMod_periodic hp a).lift b, QuotientAddGroup.induction_on b <| toIcoMod_mem_Ico hp a⟩
invFun := (↑)
right_inv b := Subtype.ext <| (toIcoMod_eq_self hp).mpr b.prop
left_inv b := by
induction b using QuotientAddGroup.induction_on
dsimp
rw [QuotientAddGroup.eq_iff_sub_mem, toIcoMod_sub_self]
apply AddSubgroup.zsmul_mem_zmultiples
@[simp]
theorem QuotientAddGroup.equivIcoMod_coe (a b : α) :
QuotientAddGroup.equivIcoMod hp a ↑b = ⟨toIcoMod hp a b, toIcoMod_mem_Ico hp a _⟩ :=
rfl
@[simp]
theorem QuotientAddGroup.equivIcoMod_zero (a : α) :
QuotientAddGroup.equivIcoMod hp a 0 = ⟨toIcoMod hp a 0, toIcoMod_mem_Ico hp a _⟩ :=
rfl
/-- `toIocMod` as an equiv from the quotient. -/
@[simps symm_apply]
def QuotientAddGroup.equivIocMod (a : α) : α ⧸ AddSubgroup.zmultiples p ≃ Set.Ioc a (a + p) where
toFun b :=
⟨(toIocMod_periodic hp a).lift b, QuotientAddGroup.induction_on b <| toIocMod_mem_Ioc hp a⟩
invFun := (↑)
right_inv b := Subtype.ext <| (toIocMod_eq_self hp).mpr b.prop
left_inv b := by
induction b using QuotientAddGroup.induction_on
dsimp
rw [QuotientAddGroup.eq_iff_sub_mem, toIocMod_sub_self]
apply AddSubgroup.zsmul_mem_zmultiples
@[simp]
theorem QuotientAddGroup.equivIocMod_coe (a b : α) :
QuotientAddGroup.equivIocMod hp a ↑b = ⟨toIocMod hp a b, toIocMod_mem_Ioc hp a _⟩ :=
rfl
@[simp]
theorem QuotientAddGroup.equivIocMod_zero (a : α) :
QuotientAddGroup.equivIocMod hp a 0 = ⟨toIocMod hp a 0, toIocMod_mem_Ioc hp a _⟩ :=
rfl
end
/-!
### The circular order structure on `α ⧸ AddSubgroup.zmultiples p`
-/
section Circular
open AddCommGroup
private theorem toIxxMod_iff (x₁ x₂ x₃ : α) : toIcoMod hp x₁ x₂ ≤ toIocMod hp x₁ x₃ ↔
toIcoMod hp 0 (x₂ - x₁) + toIcoMod hp 0 (x₁ - x₃) ≤ p := by
rw [toIcoMod_eq_sub, toIocMod_eq_sub _ x₁, add_le_add_iff_right, ← neg_sub x₁ x₃, toIocMod_neg,
neg_zero, le_sub_iff_add_le]
private theorem toIxxMod_cyclic_left {x₁ x₂ x₃ : α} (h : toIcoMod hp x₁ x₂ ≤ toIocMod hp x₁ x₃) :
toIcoMod hp x₂ x₃ ≤ toIocMod hp x₂ x₁ := by
let x₂' := toIcoMod hp x₁ x₂
let x₃' := toIcoMod hp x₂' x₃
have h : x₂' ≤ toIocMod hp x₁ x₃' := by simpa [x₃']
have h₂₁ : x₂' < x₁ + p := toIcoMod_lt_right _ _ _
have h₃₂ : x₃' - p < x₂' := sub_lt_iff_lt_add.2 (toIcoMod_lt_right _ _ _)
suffices hequiv : x₃' ≤ toIocMod hp x₂' x₁ by
obtain ⟨z, hd⟩ : ∃ z : ℤ, x₂ = x₂' + z • p := ((toIcoMod_eq_iff hp).1 rfl).2
simpa [hd, toIocMod_add_zsmul', toIcoMod_add_zsmul', add_le_add_iff_right]
rcases le_or_lt x₃' (x₁ + p) with h₃₁ | h₁₃
· suffices hIoc₂₁ : toIocMod hp x₂' x₁ = x₁ + p from hIoc₂₁.symm.trans_ge h₃₁
apply (toIocMod_eq_iff hp).2
exact ⟨⟨h₂₁, by simp [x₂', left_le_toIcoMod]⟩, -1, by simp⟩
have hIoc₁₃ : toIocMod hp x₁ x₃' = x₃' - p := by
apply (toIocMod_eq_iff hp).2
exact ⟨⟨lt_sub_iff_add_lt.2 h₁₃, le_of_lt (h₃₂.trans h₂₁)⟩, 1, by simp⟩
have not_h₃₂ := (h.trans hIoc₁₃.le).not_lt
contradiction
private theorem toIxxMod_antisymm (h₁₂₃ : toIcoMod hp a b ≤ toIocMod hp a c)
(h₁₃₂ : toIcoMod hp a c ≤ toIocMod hp a b) :
b ≡ a [PMOD p] ∨ c ≡ b [PMOD p] ∨ a ≡ c [PMOD p] := by
by_contra! h
rw [modEq_comm] at h
rw [← (not_modEq_iff_toIcoMod_eq_toIocMod hp).mp h.2.2] at h₁₂₃
rw [← (not_modEq_iff_toIcoMod_eq_toIocMod hp).mp h.1] at h₁₃₂
exact h.2.1 ((toIcoMod_inj _).1 <| h₁₃₂.antisymm h₁₂₃)
private theorem toIxxMod_total' (a b c : α) :
toIcoMod hp b a ≤ toIocMod hp b c ∨ toIcoMod hp b c ≤ toIocMod hp b a := by
/- an essential ingredient is the lemma saying {a-b} + {b-a} = period if a ≠ b (and = 0 if a = b).
Thus if a ≠ b and b ≠ c then ({a-b} + {b-c}) + ({c-b} + {b-a}) = 2 * period, so one of
`{a-b} + {b-c}` and `{c-b} + {b-a}` must be `≤ period` -/
have := congr_arg₂ (· + ·) (toIcoMod_add_toIocMod_zero hp a b) (toIcoMod_add_toIocMod_zero hp c b)
simp only [add_add_add_comm] at this
rw [_root_.add_comm (toIocMod _ _ _), add_add_add_comm, ← two_nsmul] at this
replace := min_le_of_add_le_two_nsmul this.le
rw [min_le_iff] at this
rw [toIxxMod_iff, toIxxMod_iff]
refine this.imp (le_trans <| add_le_add_left ?_ _) (le_trans <| add_le_add_left ?_ _)
· apply toIcoMod_le_toIocMod
· apply toIcoMod_le_toIocMod
private theorem toIxxMod_total (a b c : α) :
toIcoMod hp a b ≤ toIocMod hp a c ∨ toIcoMod hp c b ≤ toIocMod hp c a :=
(toIxxMod_total' _ _ _ _).imp_right <| toIxxMod_cyclic_left _
private theorem toIxxMod_trans {x₁ x₂ x₃ x₄ : α}
(h₁₂₃ : toIcoMod hp x₁ x₂ ≤ toIocMod hp x₁ x₃ ∧ ¬toIcoMod hp x₃ x₂ ≤ toIocMod hp x₃ x₁)
(h₂₃₄ : toIcoMod hp x₂ x₄ ≤ toIocMod hp x₂ x₃ ∧ ¬toIcoMod hp x₃ x₄ ≤ toIocMod hp x₃ x₂) :
toIcoMod hp x₁ x₄ ≤ toIocMod hp x₁ x₃ ∧ ¬toIcoMod hp x₃ x₄ ≤ toIocMod hp x₃ x₁ := by
constructor
· suffices h : ¬x₃ ≡ x₂ [PMOD p] by
have h₁₂₃' := toIxxMod_cyclic_left _ (toIxxMod_cyclic_left _ h₁₂₃.1)
have h₂₃₄' := toIxxMod_cyclic_left _ (toIxxMod_cyclic_left _ h₂₃₄.1)
rw [(not_modEq_iff_toIcoMod_eq_toIocMod hp).1 h] at h₂₃₄'
exact toIxxMod_cyclic_left _ (h₁₂₃'.trans h₂₃₄')
by_contra h
rw [(modEq_iff_toIcoMod_eq_left hp).1 h] at h₁₂₃
exact h₁₂₃.2 (left_lt_toIocMod _ _ _).le
· rw [not_le] at h₁₂₃ h₂₃₄ ⊢
exact (h₁₂₃.2.trans_le (toIcoMod_le_toIocMod _ x₃ x₂)).trans h₂₃₄.2
namespace QuotientAddGroup
variable [hp' : Fact (0 < p)]
instance : Btw (α ⧸ AddSubgroup.zmultiples p) where
btw x₁ x₂ x₃ := (equivIcoMod hp'.out 0 (x₂ - x₁) : α) ≤ equivIocMod hp'.out 0 (x₃ - x₁)
theorem btw_coe_iff' {x₁ x₂ x₃ : α} :
Btw.btw (x₁ : α ⧸ AddSubgroup.zmultiples p) x₂ x₃ ↔
toIcoMod hp'.out 0 (x₂ - x₁) ≤ toIocMod hp'.out 0 (x₃ - x₁) :=
Iff.rfl
-- maybe harder to use than the primed one?
theorem btw_coe_iff {x₁ x₂ x₃ : α} :
Btw.btw (x₁ : α ⧸ AddSubgroup.zmultiples p) x₂ x₃ ↔
toIcoMod hp'.out x₁ x₂ ≤ toIocMod hp'.out x₁ x₃ := by
rw [btw_coe_iff', toIocMod_sub_eq_sub, toIcoMod_sub_eq_sub, zero_add, sub_le_sub_iff_right]
instance circularPreorder : CircularPreorder (α ⧸ AddSubgroup.zmultiples p) where
btw_refl x := show _ ≤ _ by simp [sub_self, hp'.out.le]
btw_cyclic_left {x₁ x₂ x₃} h := by
induction x₁ using QuotientAddGroup.induction_on
induction x₂ using QuotientAddGroup.induction_on
induction x₃ using QuotientAddGroup.induction_on
simp_rw [btw_coe_iff] at h ⊢
apply toIxxMod_cyclic_left _ h
sbtw := _
sbtw_iff_btw_not_btw := Iff.rfl
sbtw_trans_left {x₁ x₂ x₃ x₄} (h₁₂₃ : _ ∧ _) (h₂₃₄ : _ ∧ _) :=
show _ ∧ _ by
induction x₁ using QuotientAddGroup.induction_on
induction x₂ using QuotientAddGroup.induction_on
induction x₃ using QuotientAddGroup.induction_on
induction x₄ using QuotientAddGroup.induction_on
simp_rw [btw_coe_iff] at h₁₂₃ h₂₃₄ ⊢
apply toIxxMod_trans _ h₁₂₃ h₂₃₄
instance circularOrder : CircularOrder (α ⧸ AddSubgroup.zmultiples p) :=
{ QuotientAddGroup.circularPreorder with
btw_antisymm := fun {x₁ x₂ x₃} h₁₂₃ h₃₂₁ => by
induction x₁ using QuotientAddGroup.induction_on
induction x₂ using QuotientAddGroup.induction_on
induction x₃ using QuotientAddGroup.induction_on
rw [btw_cyclic] at h₃₂₁
simp_rw [btw_coe_iff] at h₁₂₃ h₃₂₁
simp_rw [← modEq_iff_eq_mod_zmultiples]
exact toIxxMod_antisymm _ h₁₂₃ h₃₂₁
btw_total := fun x₁ x₂ x₃ => by
induction x₁ using QuotientAddGroup.induction_on
induction x₂ using QuotientAddGroup.induction_on
induction x₃ using QuotientAddGroup.induction_on
simp_rw [btw_coe_iff]
apply toIxxMod_total }
end QuotientAddGroup
end Circular
end LinearOrderedAddCommGroup
/-!
### Connections to `Int.floor` and `Int.fract`
-/
section LinearOrderedField
variable {α : Type*} [Field α] [LinearOrder α] [IsStrictOrderedRing α] [FloorRing α]
{p : α} (hp : 0 < p)
theorem toIcoDiv_eq_floor (a b : α) : toIcoDiv hp a b = ⌊(b - a) / p⌋ := by
refine toIcoDiv_eq_of_sub_zsmul_mem_Ico hp ?_
rw [Set.mem_Ico, zsmul_eq_mul, ← sub_nonneg, add_comm, sub_right_comm, ← sub_lt_iff_lt_add,
sub_right_comm _ _ a]
exact ⟨Int.sub_floor_div_mul_nonneg _ hp, Int.sub_floor_div_mul_lt _ hp⟩
theorem toIocDiv_eq_neg_floor (a b : α) : toIocDiv hp a b = -⌊(a + p - b) / p⌋ := by
refine toIocDiv_eq_of_sub_zsmul_mem_Ioc hp ?_
rw [Set.mem_Ioc, zsmul_eq_mul, Int.cast_neg, neg_mul, sub_neg_eq_add, ← sub_nonneg,
sub_add_eq_sub_sub]
refine ⟨?_, Int.sub_floor_div_mul_nonneg _ hp⟩
rw [← add_lt_add_iff_right p, add_assoc, add_comm b, ← sub_lt_iff_lt_add, add_comm (_ * _), ←
sub_lt_iff_lt_add]
exact Int.sub_floor_div_mul_lt _ hp
theorem toIcoDiv_zero_one (b : α) : toIcoDiv (zero_lt_one' α) 0 b = ⌊b⌋ := by
simp [toIcoDiv_eq_floor]
theorem toIcoMod_eq_add_fract_mul (a b : α) :
toIcoMod hp a b = a + Int.fract ((b - a) / p) * p := by
rw [toIcoMod, toIcoDiv_eq_floor, Int.fract]
field_simp
ring
theorem toIcoMod_eq_fract_mul (b : α) : toIcoMod hp 0 b = Int.fract (b / p) * p := by
simp [toIcoMod_eq_add_fract_mul]
theorem toIocMod_eq_sub_fract_mul (a b : α) :
toIocMod hp a b = a + p - Int.fract ((a + p - b) / p) * p := by
rw [toIocMod, toIocDiv_eq_neg_floor, Int.fract]
field_simp
ring
theorem toIcoMod_zero_one (b : α) : toIcoMod (zero_lt_one' α) 0 b = Int.fract b := by
simp [toIcoMod_eq_add_fract_mul]
end LinearOrderedField
/-! ### Lemmas about unions of translates of intervals -/
section Union
open Set Int
section LinearOrderedAddCommGroup
variable {α : Type*} [AddCommGroup α] [LinearOrder α] [IsOrderedAddMonoid α] [Archimedean α]
{p : α} (hp : 0 < p) (a : α)
include hp
theorem iUnion_Ioc_add_zsmul : ⋃ n : ℤ, Ioc (a + n • p) (a + (n + 1) • p) = univ := by
refine eq_univ_iff_forall.mpr fun b => mem_iUnion.mpr ?_
rcases sub_toIocDiv_zsmul_mem_Ioc hp a b with ⟨hl, hr⟩
refine ⟨toIocDiv hp a b, ⟨lt_sub_iff_add_lt.mp hl, ?_⟩⟩
rw [add_smul, one_smul, ← add_assoc]
convert sub_le_iff_le_add.mp hr using 1; abel
theorem iUnion_Ico_add_zsmul : ⋃ n : ℤ, Ico (a + n • p) (a + (n + 1) • p) = univ := by
refine eq_univ_iff_forall.mpr fun b => mem_iUnion.mpr ?_
rcases sub_toIcoDiv_zsmul_mem_Ico hp a b with ⟨hl, hr⟩
refine ⟨toIcoDiv hp a b, ⟨le_sub_iff_add_le.mp hl, ?_⟩⟩
rw [add_smul, one_smul, ← add_assoc]
convert sub_lt_iff_lt_add.mp hr using 1; abel
theorem iUnion_Icc_add_zsmul : ⋃ n : ℤ, Icc (a + n • p) (a + (n + 1) • p) = univ := by
simpa only [iUnion_Ioc_add_zsmul hp a, univ_subset_iff] using
iUnion_mono fun n : ℤ => (Ioc_subset_Icc_self : Ioc (a + n • p) (a + (n + 1) • p) ⊆ Icc _ _)
theorem iUnion_Ioc_zsmul : ⋃ n : ℤ, Ioc (n • p) ((n + 1) • p) = univ := by
simpa only [zero_add] using iUnion_Ioc_add_zsmul hp 0
theorem iUnion_Ico_zsmul : ⋃ n : ℤ, Ico (n • p) ((n + 1) • p) = univ := by
simpa only [zero_add] using iUnion_Ico_add_zsmul hp 0
theorem iUnion_Icc_zsmul : ⋃ n : ℤ, Icc (n • p) ((n + 1) • p) = univ := by
simpa only [zero_add] using iUnion_Icc_add_zsmul hp 0
end LinearOrderedAddCommGroup
section LinearOrderedRing
variable {α : Type*} [Ring α] [LinearOrder α] [IsStrictOrderedRing α] [Archimedean α] (a : α)
theorem iUnion_Ioc_add_intCast : ⋃ n : ℤ, Ioc (a + n) (a + n + 1) = Set.univ := by
simpa only [zsmul_one, Int.cast_add, Int.cast_one, ← add_assoc] using
iUnion_Ioc_add_zsmul zero_lt_one a
theorem iUnion_Ico_add_intCast : ⋃ n : ℤ, Ico (a + n) (a + n + 1) = Set.univ := by
simpa only [zsmul_one, Int.cast_add, Int.cast_one, ← add_assoc] using
iUnion_Ico_add_zsmul zero_lt_one a
theorem iUnion_Icc_add_intCast : ⋃ n : ℤ, Icc (a + n) (a + n + 1) = Set.univ := by
simpa only [zsmul_one, Int.cast_add, Int.cast_one, ← add_assoc] using
iUnion_Icc_add_zsmul zero_lt_one a
variable (α)
theorem iUnion_Ioc_intCast : ⋃ n : ℤ, Ioc (n : α) (n + 1) = Set.univ := by
simpa only [zero_add] using iUnion_Ioc_add_intCast (0 : α)
theorem iUnion_Ico_intCast : ⋃ n : ℤ, Ico (n : α) (n + 1) = Set.univ := by
simpa only [zero_add] using iUnion_Ico_add_intCast (0 : α)
theorem iUnion_Icc_intCast : ⋃ n : ℤ, Icc (n : α) (n + 1) = Set.univ := by
simpa only [zero_add] using iUnion_Icc_add_intCast (0 : α)
end LinearOrderedRing
end Union
| Mathlib/Algebra/Order/ToIntervalMod.lean | 1,079 | 1,080 | |
/-
Copyright (c) 2023 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Analysis.Calculus.Deriv.Comp
import Mathlib.Analysis.Calculus.Deriv.Add
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Slope
/-!
# Line derivatives
We define the line derivative of a function `f : E → F`, at a point `x : E` along a vector `v : E`,
as the element `f' : F` such that `f (x + t • v) = f x + t • f' + o (t)` as `t` tends to `0` in
the scalar field `𝕜`, if it exists. It is denoted by `lineDeriv 𝕜 f x v`.
This notion is generally less well behaved than the full Fréchet derivative (for instance, the
composition of functions which are line-differentiable is not line-differentiable in general).
The Fréchet derivative should therefore be favored over this one in general, although the line
derivative may sometimes prove handy.
The line derivative in direction `v` is also called the Gateaux derivative in direction `v`,
although the term "Gateaux derivative" is sometimes reserved for the situation where there is
such a derivative in all directions, for the map `v ↦ lineDeriv 𝕜 f x v` (which doesn't have to be
linear in general).
## Main definition and results
We mimic the definitions and statements for the Fréchet derivative and the one-dimensional
derivative. We define in particular the following objects:
* `LineDifferentiableWithinAt 𝕜 f s x v`
* `LineDifferentiableAt 𝕜 f x v`
* `HasLineDerivWithinAt 𝕜 f f' s x v`
* `HasLineDerivAt 𝕜 f s x v`
* `lineDerivWithin 𝕜 f s x v`
* `lineDeriv 𝕜 f x v`
and develop about them a basic API inspired by the one for the Fréchet derivative.
We depart from the Fréchet derivative in two places, as the dependence of the following predicates
on the direction would make them barely usable:
* We do not define an analogue of the predicate `UniqueDiffOn`;
* We do not define `LineDifferentiableOn` nor `LineDifferentiable`.
-/
noncomputable section
open scoped Topology Filter ENNReal NNReal
open Filter Asymptotics Set
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
section Module
/-!
Results that do not rely on a topological structure on `E`
-/
variable (𝕜)
variable {E : Type*} [AddCommGroup E] [Module 𝕜 E]
/-- `f` has the derivative `f'` at the point `x` along the direction `v` in the set `s`.
That is, `f (x + t v) = f x + t • f' + o (t)` when `t` tends to `0` and `x + t v ∈ s`.
Note that this definition is less well behaved than the total Fréchet derivative, which
should generally be favored over this one. -/
def HasLineDerivWithinAt (f : E → F) (f' : F) (s : Set E) (x : E) (v : E) :=
HasDerivWithinAt (fun t ↦ f (x + t • v)) f' ((fun t ↦ x + t • v) ⁻¹' s) (0 : 𝕜)
/-- `f` has the derivative `f'` at the point `x` along the direction `v`.
That is, `f (x + t v) = f x + t • f' + o (t)` when `t` tends to `0`.
Note that this definition is less well behaved than the total Fréchet derivative, which
should generally be favored over this one. -/
def HasLineDerivAt (f : E → F) (f' : F) (x : E) (v : E) :=
HasDerivAt (fun t ↦ f (x + t • v)) f' (0 : 𝕜)
/-- `f` is line-differentiable at the point `x` in the direction `v` in the set `s` if there
exists `f'` such that `f (x + t v) = f x + t • f' + o (t)` when `t` tends to `0` and `x + t v ∈ s`.
-/
def LineDifferentiableWithinAt (f : E → F) (s : Set E) (x : E) (v : E) : Prop :=
DifferentiableWithinAt 𝕜 (fun t ↦ f (x + t • v)) ((fun t ↦ x + t • v) ⁻¹' s) (0 : 𝕜)
/-- `f` is line-differentiable at the point `x` in the direction `v` if there
exists `f'` such that `f (x + t v) = f x + t • f' + o (t)` when `t` tends to `0`. -/
def LineDifferentiableAt (f : E → F) (x : E) (v : E) : Prop :=
DifferentiableAt 𝕜 (fun t ↦ f (x + t • v)) (0 : 𝕜)
/-- Line derivative of `f` at the point `x` in the direction `v` within the set `s`, if it exists.
Zero otherwise.
If the line derivative exists (i.e., `∃ f', HasLineDerivWithinAt 𝕜 f f' s x v`), then
`f (x + t v) = f x + t lineDerivWithin 𝕜 f s x v + o (t)` when `t` tends to `0` and `x + t v ∈ s`.
-/
def lineDerivWithin (f : E → F) (s : Set E) (x : E) (v : E) : F :=
derivWithin (fun t ↦ f (x + t • v)) ((fun t ↦ x + t • v) ⁻¹' s) (0 : 𝕜)
/-- Line derivative of `f` at the point `x` in the direction `v`, if it exists. Zero otherwise.
If the line derivative exists (i.e., `∃ f', HasLineDerivAt 𝕜 f f' x v`), then
`f (x + t v) = f x + t lineDeriv 𝕜 f x v + o (t)` when `t` tends to `0`.
-/
def lineDeriv (f : E → F) (x : E) (v : E) : F :=
deriv (fun t ↦ f (x + t • v)) (0 : 𝕜)
variable {𝕜}
variable {f f₁ : E → F} {f' f₀' f₁' : F} {s t : Set E} {x v : E}
lemma HasLineDerivWithinAt.mono (hf : HasLineDerivWithinAt 𝕜 f f' s x v) (hst : t ⊆ s) :
HasLineDerivWithinAt 𝕜 f f' t x v :=
HasDerivWithinAt.mono hf (preimage_mono hst)
lemma HasLineDerivAt.hasLineDerivWithinAt (hf : HasLineDerivAt 𝕜 f f' x v) (s : Set E) :
HasLineDerivWithinAt 𝕜 f f' s x v :=
HasDerivAt.hasDerivWithinAt hf
lemma HasLineDerivWithinAt.lineDifferentiableWithinAt (hf : HasLineDerivWithinAt 𝕜 f f' s x v) :
LineDifferentiableWithinAt 𝕜 f s x v :=
HasDerivWithinAt.differentiableWithinAt hf
theorem HasLineDerivAt.lineDifferentiableAt (hf : HasLineDerivAt 𝕜 f f' x v) :
LineDifferentiableAt 𝕜 f x v :=
HasDerivAt.differentiableAt hf
theorem LineDifferentiableWithinAt.hasLineDerivWithinAt (h : LineDifferentiableWithinAt 𝕜 f s x v) :
HasLineDerivWithinAt 𝕜 f (lineDerivWithin 𝕜 f s x v) s x v :=
DifferentiableWithinAt.hasDerivWithinAt h
theorem LineDifferentiableAt.hasLineDerivAt (h : LineDifferentiableAt 𝕜 f x v) :
HasLineDerivAt 𝕜 f (lineDeriv 𝕜 f x v) x v :=
DifferentiableAt.hasDerivAt h
@[simp] lemma hasLineDerivWithinAt_univ :
HasLineDerivWithinAt 𝕜 f f' univ x v ↔ HasLineDerivAt 𝕜 f f' x v := by
simp only [HasLineDerivWithinAt, HasLineDerivAt, preimage_univ, hasDerivWithinAt_univ]
theorem lineDerivWithin_zero_of_not_lineDifferentiableWithinAt
(h : ¬LineDifferentiableWithinAt 𝕜 f s x v) :
lineDerivWithin 𝕜 f s x v = 0 :=
derivWithin_zero_of_not_differentiableWithinAt h
theorem lineDeriv_zero_of_not_lineDifferentiableAt (h : ¬LineDifferentiableAt 𝕜 f x v) :
lineDeriv 𝕜 f x v = 0 :=
deriv_zero_of_not_differentiableAt h
theorem hasLineDerivAt_iff_isLittleO_nhds_zero :
HasLineDerivAt 𝕜 f f' x v ↔
(fun t : 𝕜 => f (x + t • v) - f x - t • f') =o[𝓝 0] fun t => t := by
simp only [HasLineDerivAt, hasDerivAt_iff_isLittleO_nhds_zero, zero_add, zero_smul, add_zero]
theorem HasLineDerivAt.unique (h₀ : HasLineDerivAt 𝕜 f f₀' x v) (h₁ : HasLineDerivAt 𝕜 f f₁' x v) :
f₀' = f₁' :=
HasDerivAt.unique h₀ h₁
protected theorem HasLineDerivAt.lineDeriv (h : HasLineDerivAt 𝕜 f f' x v) :
lineDeriv 𝕜 f x v = f' := by
rw [h.unique h.lineDifferentiableAt.hasLineDerivAt]
theorem lineDifferentiableWithinAt_univ :
LineDifferentiableWithinAt 𝕜 f univ x v ↔ LineDifferentiableAt 𝕜 f x v := by
simp only [LineDifferentiableWithinAt, LineDifferentiableAt, preimage_univ,
differentiableWithinAt_univ]
theorem LineDifferentiableAt.lineDifferentiableWithinAt (h : LineDifferentiableAt 𝕜 f x v) :
LineDifferentiableWithinAt 𝕜 f s x v :=
(differentiableWithinAt_univ.2 h).mono (subset_univ _)
@[simp]
theorem lineDerivWithin_univ : lineDerivWithin 𝕜 f univ x v = lineDeriv 𝕜 f x v := by
simp [lineDerivWithin, lineDeriv]
theorem LineDifferentiableWithinAt.mono (h : LineDifferentiableWithinAt 𝕜 f t x v) (st : s ⊆ t) :
LineDifferentiableWithinAt 𝕜 f s x v :=
(h.hasLineDerivWithinAt.mono st).lineDifferentiableWithinAt
theorem HasLineDerivWithinAt.congr_mono (h : HasLineDerivWithinAt 𝕜 f f' s x v) (ht : EqOn f₁ f t)
(hx : f₁ x = f x) (h₁ : t ⊆ s) : HasLineDerivWithinAt 𝕜 f₁ f' t x v :=
HasDerivWithinAt.congr_mono h (fun _ hy ↦ ht hy) (by simpa using hx) (preimage_mono h₁)
theorem HasLineDerivWithinAt.congr (h : HasLineDerivWithinAt 𝕜 f f' s x v) (hs : EqOn f₁ f s)
(hx : f₁ x = f x) : HasLineDerivWithinAt 𝕜 f₁ f' s x v :=
h.congr_mono hs hx (Subset.refl _)
theorem HasLineDerivWithinAt.congr' (h : HasLineDerivWithinAt 𝕜 f f' s x v)
(hs : EqOn f₁ f s) (hx : x ∈ s) :
HasLineDerivWithinAt 𝕜 f₁ f' s x v :=
h.congr hs (hs hx)
theorem LineDifferentiableWithinAt.congr_mono (h : LineDifferentiableWithinAt 𝕜 f s x v)
(ht : EqOn f₁ f t) (hx : f₁ x = f x) (h₁ : t ⊆ s) :
LineDifferentiableWithinAt 𝕜 f₁ t x v :=
(HasLineDerivWithinAt.congr_mono h.hasLineDerivWithinAt ht hx h₁).differentiableWithinAt
theorem LineDifferentiableWithinAt.congr (h : LineDifferentiableWithinAt 𝕜 f s x v)
(ht : ∀ x ∈ s, f₁ x = f x) (hx : f₁ x = f x) :
LineDifferentiableWithinAt 𝕜 f₁ s x v :=
LineDifferentiableWithinAt.congr_mono h ht hx (Subset.refl _)
theorem lineDerivWithin_congr (hs : EqOn f₁ f s) (hx : f₁ x = f x) :
lineDerivWithin 𝕜 f₁ s x v = lineDerivWithin 𝕜 f s x v :=
derivWithin_congr (fun _ hy ↦ hs hy) (by simpa using hx)
theorem lineDerivWithin_congr' (hs : EqOn f₁ f s) (hx : x ∈ s) :
lineDerivWithin 𝕜 f₁ s x v = lineDerivWithin 𝕜 f s x v :=
lineDerivWithin_congr hs (hs hx)
theorem hasLineDerivAt_iff_tendsto_slope_zero :
HasLineDerivAt 𝕜 f f' x v ↔
Tendsto (fun (t : 𝕜) ↦ t⁻¹ • (f (x + t • v) - f x)) (𝓝[≠] 0) (𝓝 f') := by
simp only [HasLineDerivAt, hasDerivAt_iff_tendsto_slope_zero, zero_add,
zero_smul, add_zero]
alias ⟨HasLineDerivAt.tendsto_slope_zero, _⟩ := hasLineDerivAt_iff_tendsto_slope_zero
theorem HasLineDerivAt.tendsto_slope_zero_right [Preorder 𝕜] (h : HasLineDerivAt 𝕜 f f' x v) :
Tendsto (fun (t : 𝕜) ↦ t⁻¹ • (f (x + t • v) - f x)) (𝓝[>] 0) (𝓝 f') :=
h.tendsto_slope_zero.mono_left (nhdsGT_le_nhdsNE 0)
theorem HasLineDerivAt.tendsto_slope_zero_left [Preorder 𝕜] (h : HasLineDerivAt 𝕜 f f' x v) :
Tendsto (fun (t : 𝕜) ↦ t⁻¹ • (f (x + t • v) - f x)) (𝓝[<] 0) (𝓝 f') :=
h.tendsto_slope_zero.mono_left (nhdsLT_le_nhdsNE 0)
theorem HasLineDerivWithinAt.hasLineDerivAt'
(h : HasLineDerivWithinAt 𝕜 f f' s x v) (hs : ∀ᶠ t : 𝕜 in 𝓝 0, x + t • v ∈ s) :
HasLineDerivAt 𝕜 f f' x v :=
h.hasDerivAt hs
end Module
section NormedSpace
/-!
Results that need a normed space structure on `E`
| -/
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
{f f₀ f₁ : E → F} {f' : F} {s t : Set E} {x v : E} {L : E →L[𝕜] F}
theorem HasLineDerivWithinAt.mono_of_mem_nhdsWithin
| Mathlib/Analysis/Calculus/LineDeriv/Basic.lean | 235 | 240 |
/-
Copyright (c) 2022 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.ParametricIntegral
import Mathlib.MeasureTheory.Integral.Prod
import Mathlib.MeasureTheory.Function.LocallyIntegrable
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Group.Prod
import Mathlib.MeasureTheory.Integral.IntervalIntegral.Basic
/-!
# Convolution of functions
This file defines the convolution on two functions, i.e. `x ↦ ∫ f(t)g(x - t) ∂t`.
In the general case, these functions can be vector-valued, and have an arbitrary (additive)
group as domain. We use a continuous bilinear operation `L` on these function values as
"multiplication". The domain must be equipped with a Haar measure `μ`
(though many individual results have weaker conditions on `μ`).
For many applications we can take `L = ContinuousLinearMap.lsmul ℝ ℝ` or
`L = ContinuousLinearMap.mul ℝ ℝ`.
We also define `ConvolutionExists` and `ConvolutionExistsAt` to state that the convolution is
well-defined (everywhere or at a single point). These conditions are needed for pointwise
computations (e.g. `ConvolutionExistsAt.distrib_add`), but are generally not strong enough for any
local (or global) properties of the convolution. For this we need stronger assumptions on `f`
and/or `g`, and generally if we impose stronger conditions on one of the functions, we can impose
weaker conditions on the other.
We have proven many of the properties of the convolution assuming one of these functions
has compact support (in which case the other function only needs to be locally integrable).
We still need to prove the properties for other pairs of conditions (e.g. both functions are
rapidly decreasing)
# Design Decisions
We use a bilinear map `L` to "multiply" the two functions in the integrand.
This generality has several advantages
* This allows us to compute the total derivative of the convolution, in case the functions are
multivariate. The total derivative is again a convolution, but where the codomains of the
functions can be higher-dimensional. See `HasCompactSupport.hasFDerivAt_convolution_right`.
* This allows us to use `@[to_additive]` everywhere (which would not be possible if we would use
`mul`/`smul` in the integral, since `@[to_additive]` will incorrectly also try to additivize
those definitions).
* We need to support the case where at least one of the functions is vector-valued, but if we use
`smul` to multiply the functions, that would be an asymmetric definition.
# Main Definitions
* `MeasureTheory.convolution f g L μ x = (f ⋆[L, μ] g) x = ∫ t, L (f t) (g (x - t)) ∂μ`
is the convolution of `f` and `g` w.r.t. the continuous bilinear map `L` and measure `μ`.
* `MeasureTheory.ConvolutionExistsAt f g x L μ` states that the convolution `(f ⋆[L, μ] g) x`
is well-defined (i.e. the integral exists).
* `MeasureTheory.ConvolutionExists f g L μ` states that the convolution `f ⋆[L, μ] g`
is well-defined at each point.
# Main Results
* `HasCompactSupport.hasFDerivAt_convolution_right` and
`HasCompactSupport.hasFDerivAt_convolution_left`: we can compute the total derivative
of the convolution as a convolution with the total derivative of the right (left) function.
* `HasCompactSupport.contDiff_convolution_right` and
`HasCompactSupport.contDiff_convolution_left`: the convolution is `𝒞ⁿ` if one of the functions
is `𝒞ⁿ` with compact support and the other function in locally integrable.
Versions of these statements for functions depending on a parameter are also given.
* `MeasureTheory.convolution_tendsto_right`: Given a sequence of nonnegative normalized functions
whose support tends to a small neighborhood around `0`, the convolution tends to the right
argument. This is specialized to bump functions in `ContDiffBump.convolution_tendsto_right`.
# Notation
The following notations are localized in the locale `Convolution`:
* `f ⋆[L, μ] g` for the convolution. Note: you have to use parentheses to apply the convolution
to an argument: `(f ⋆[L, μ] g) x`.
* `f ⋆[L] g := f ⋆[L, volume] g`
* `f ⋆ g := f ⋆[lsmul ℝ ℝ] g`
# To do
* Existence and (uniform) continuity of the convolution if
one of the maps is in `ℒ^p` and the other in `ℒ^q` with `1 / p + 1 / q = 1`.
This might require a generalization of `MeasureTheory.MemLp.smul` where `smul` is generalized
to a continuous bilinear map.
(see e.g. [Fremlin, *Measure Theory* (volume 2)][fremlin_vol2], 255K)
* The convolution is an `AEStronglyMeasurable` function
(see e.g. [Fremlin, *Measure Theory* (volume 2)][fremlin_vol2], 255I).
* Prove properties about the convolution if both functions are rapidly decreasing.
* Use `@[to_additive]` everywhere (this likely requires changes in `to_additive`)
-/
open Set Function Filter MeasureTheory MeasureTheory.Measure TopologicalSpace
open Bornology ContinuousLinearMap Metric Topology
open scoped Pointwise NNReal Filter
universe u𝕜 uG uE uE' uE'' uF uF' uF'' uP
variable {𝕜 : Type u𝕜} {G : Type uG} {E : Type uE} {E' : Type uE'} {E'' : Type uE''} {F : Type uF}
{F' : Type uF'} {F'' : Type uF''} {P : Type uP}
variable [NormedAddCommGroup E] [NormedAddCommGroup E'] [NormedAddCommGroup E'']
[NormedAddCommGroup F] {f f' : G → E} {g g' : G → E'} {x x' : G} {y y' : E}
namespace MeasureTheory
section NontriviallyNormedField
variable [NontriviallyNormedField 𝕜]
variable [NormedSpace 𝕜 E] [NormedSpace 𝕜 E'] [NormedSpace 𝕜 E''] [NormedSpace 𝕜 F]
variable (L : E →L[𝕜] E' →L[𝕜] F)
section NoMeasurability
variable [AddGroup G] [TopologicalSpace G]
theorem convolution_integrand_bound_right_of_le_of_subset {C : ℝ} (hC : ∀ i, ‖g i‖ ≤ C) {x t : G}
{s u : Set G} (hx : x ∈ s) (hu : -tsupport g + s ⊆ u) :
‖L (f t) (g (x - t))‖ ≤ u.indicator (fun t => ‖L‖ * ‖f t‖ * C) t := by
-- Porting note: had to add `f := _`
refine le_indicator (f := fun t ↦ ‖L (f t) (g (x - t))‖) (fun t _ => ?_) (fun t ht => ?_) t
· apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl]
· have : x - t ∉ support g := by
refine mt (fun hxt => hu ?_) ht
refine ⟨_, Set.neg_mem_neg.mpr (subset_closure hxt), _, hx, ?_⟩
simp only [neg_sub, sub_add_cancel]
simp only [nmem_support.mp this, (L _).map_zero, norm_zero, le_rfl]
theorem _root_.HasCompactSupport.convolution_integrand_bound_right_of_subset
(hcg : HasCompactSupport g) (hg : Continuous g)
{x t : G} {s u : Set G} (hx : x ∈ s) (hu : -tsupport g + s ⊆ u) :
‖L (f t) (g (x - t))‖ ≤ u.indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i, ‖g i‖) t := by
refine convolution_integrand_bound_right_of_le_of_subset _ (fun i => ?_) hx hu
exact le_ciSup (hg.norm.bddAbove_range_of_hasCompactSupport hcg.norm) _
theorem _root_.HasCompactSupport.convolution_integrand_bound_right (hcg : HasCompactSupport g)
(hg : Continuous g) {x t : G} {s : Set G} (hx : x ∈ s) :
‖L (f t) (g (x - t))‖ ≤ (-tsupport g + s).indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i, ‖g i‖) t :=
hcg.convolution_integrand_bound_right_of_subset L hg hx Subset.rfl
theorem _root_.Continuous.convolution_integrand_fst [ContinuousSub G] (hg : Continuous g) (t : G) :
Continuous fun x => L (f t) (g (x - t)) :=
L.continuous₂.comp₂ continuous_const <| hg.comp <| continuous_id.sub continuous_const
theorem _root_.HasCompactSupport.convolution_integrand_bound_left (hcf : HasCompactSupport f)
(hf : Continuous f) {x t : G} {s : Set G} (hx : x ∈ s) :
‖L (f (x - t)) (g t)‖ ≤
(-tsupport f + s).indicator (fun t => (‖L‖ * ⨆ i, ‖f i‖) * ‖g t‖) t := by
convert hcf.convolution_integrand_bound_right L.flip hf hx using 1
simp_rw [L.opNorm_flip, mul_right_comm]
end NoMeasurability
section Measurability
variable [MeasurableSpace G] {μ ν : Measure G}
/-- The convolution of `f` and `g` exists at `x` when the function `t ↦ L (f t) (g (x - t))` is
integrable. There are various conditions on `f` and `g` to prove this. -/
def ConvolutionExistsAt [Sub G] (f : G → E) (g : G → E') (x : G) (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : Prop :=
Integrable (fun t => L (f t) (g (x - t))) μ
/-- The convolution of `f` and `g` exists when the function `t ↦ L (f t) (g (x - t))` is integrable
for all `x : G`. There are various conditions on `f` and `g` to prove this. -/
def ConvolutionExists [Sub G] (f : G → E) (g : G → E') (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : Prop :=
∀ x : G, ConvolutionExistsAt f g x L μ
section ConvolutionExists
variable {L} in
theorem ConvolutionExistsAt.integrable [Sub G] {x : G} (h : ConvolutionExistsAt f g x L μ) :
Integrable (fun t => L (f t) (g (x - t))) μ :=
h
section Group
variable [AddGroup G]
theorem AEStronglyMeasurable.convolution_integrand' [MeasurableAdd₂ G]
[MeasurableNeg G] (hf : AEStronglyMeasurable f ν)
(hg : AEStronglyMeasurable g <| map (fun p : G × G => p.1 - p.2) (μ.prod ν)) :
AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
L.aestronglyMeasurable_comp₂ hf.snd <| hg.comp_measurable measurable_sub
section
variable [MeasurableAdd G] [MeasurableNeg G]
theorem AEStronglyMeasurable.convolution_integrand_snd'
(hf : AEStronglyMeasurable f μ) {x : G}
(hg : AEStronglyMeasurable g <| map (fun t => x - t) μ) :
AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ :=
L.aestronglyMeasurable_comp₂ hf <| hg.comp_measurable <| measurable_id.const_sub x
theorem AEStronglyMeasurable.convolution_integrand_swap_snd' {x : G}
(hf : AEStronglyMeasurable f <| map (fun t => x - t) μ) (hg : AEStronglyMeasurable g μ) :
AEStronglyMeasurable (fun t => L (f (x - t)) (g t)) μ :=
L.aestronglyMeasurable_comp₂ (hf.comp_measurable <| measurable_id.const_sub x) hg
/-- A sufficient condition to prove that `f ⋆[L, μ] g` exists.
We assume that `f` is integrable on a set `s` and `g` is bounded and ae strongly measurable
on `x₀ - s` (note that both properties hold if `g` is continuous with compact support). -/
theorem _root_.BddAbove.convolutionExistsAt' {x₀ : G} {s : Set G}
(hbg : BddAbove ((fun i => ‖g i‖) '' ((fun t => -t + x₀) ⁻¹' s))) (hs : MeasurableSet s)
(h2s : (support fun t => L (f t) (g (x₀ - t))) ⊆ s) (hf : IntegrableOn f s μ)
(hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) (μ.restrict s)) :
ConvolutionExistsAt f g x₀ L μ := by
rw [ConvolutionExistsAt]
rw [← integrableOn_iff_integrable_of_support_subset h2s]
set s' := (fun t => -t + x₀) ⁻¹' s
have : ∀ᵐ t : G ∂μ.restrict s,
‖L (f t) (g (x₀ - t))‖ ≤ s.indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i : s', ‖g i‖) t := by
filter_upwards
refine le_indicator (fun t ht => ?_) fun t ht => ?_
· apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl]
refine (le_ciSup_set hbg <| mem_preimage.mpr ?_)
rwa [neg_sub, sub_add_cancel]
· have : t ∉ support fun t => L (f t) (g (x₀ - t)) := mt (fun h => h2s h) ht
rw [nmem_support.mp this, norm_zero]
refine Integrable.mono' ?_ ?_ this
· rw [integrable_indicator_iff hs]; exact ((hf.norm.const_mul _).mul_const _).integrableOn
· exact hf.aestronglyMeasurable.convolution_integrand_snd' L hmg
/-- If `‖f‖ *[μ] ‖g‖` exists, then `f *[L, μ] g` exists. -/
theorem ConvolutionExistsAt.of_norm' {x₀ : G}
(h : ConvolutionExistsAt (fun x => ‖f x‖) (fun x => ‖g x‖) x₀ (mul ℝ ℝ) μ)
(hmf : AEStronglyMeasurable f μ) (hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) μ) :
ConvolutionExistsAt f g x₀ L μ := by
refine (h.const_mul ‖L‖).mono'
(hmf.convolution_integrand_snd' L hmg) (Eventually.of_forall fun x => ?_)
rw [mul_apply', ← mul_assoc]
apply L.le_opNorm₂
@[deprecated (since := "2025-02-07")]
alias ConvolutionExistsAt.ofNorm' := ConvolutionExistsAt.of_norm'
end
section Left
variable [MeasurableAdd₂ G] [MeasurableNeg G] [SFinite μ] [IsAddRightInvariant μ]
theorem AEStronglyMeasurable.convolution_integrand_snd (hf : AEStronglyMeasurable f μ)
(hg : AEStronglyMeasurable g μ) (x : G) :
AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ :=
hf.convolution_integrand_snd' L <|
hg.mono_ac <| (quasiMeasurePreserving_sub_left_of_right_invariant μ x).absolutelyContinuous
theorem AEStronglyMeasurable.convolution_integrand_swap_snd
(hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (x : G) :
AEStronglyMeasurable (fun t => L (f (x - t)) (g t)) μ :=
(hf.mono_ac
(quasiMeasurePreserving_sub_left_of_right_invariant μ
x).absolutelyContinuous).convolution_integrand_swap_snd'
L hg
/-- If `‖f‖ *[μ] ‖g‖` exists, then `f *[L, μ] g` exists. -/
theorem ConvolutionExistsAt.of_norm {x₀ : G}
(h : ConvolutionExistsAt (fun x => ‖f x‖) (fun x => ‖g x‖) x₀ (mul ℝ ℝ) μ)
(hmf : AEStronglyMeasurable f μ) (hmg : AEStronglyMeasurable g μ) :
ConvolutionExistsAt f g x₀ L μ :=
h.of_norm' L hmf <|
hmg.mono_ac (quasiMeasurePreserving_sub_left_of_right_invariant μ x₀).absolutelyContinuous
@[deprecated (since := "2025-02-07")]
alias ConvolutionExistsAt.ofNorm := ConvolutionExistsAt.of_norm
end Left
section Right
variable [MeasurableAdd₂ G] [MeasurableNeg G] [SFinite μ] [IsAddRightInvariant μ] [SFinite ν]
theorem AEStronglyMeasurable.convolution_integrand (hf : AEStronglyMeasurable f ν)
(hg : AEStronglyMeasurable g μ) :
AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
hf.convolution_integrand' L <|
hg.mono_ac (quasiMeasurePreserving_sub_of_right_invariant μ ν).absolutelyContinuous
theorem Integrable.convolution_integrand (hf : Integrable f ν) (hg : Integrable g μ) :
Integrable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) := by
have h_meas : AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
hf.aestronglyMeasurable.convolution_integrand L hg.aestronglyMeasurable
have h2_meas : AEStronglyMeasurable (fun y : G => ∫ x : G, ‖L (f y) (g (x - y))‖ ∂μ) ν :=
h_meas.prod_swap.norm.integral_prod_right'
simp_rw [integrable_prod_iff' h_meas]
refine ⟨Eventually.of_forall fun t => (L (f t)).integrable_comp (hg.comp_sub_right t), ?_⟩
refine Integrable.mono' ?_ h2_meas
(Eventually.of_forall fun t => (?_ : _ ≤ ‖L‖ * ‖f t‖ * ∫ x, ‖g (x - t)‖ ∂μ))
· simp only [integral_sub_right_eq_self (‖g ·‖)]
exact (hf.norm.const_mul _).mul_const _
· simp_rw [← integral_const_mul]
rw [Real.norm_of_nonneg (by positivity)]
exact integral_mono_of_nonneg (Eventually.of_forall fun t => norm_nonneg _)
((hg.comp_sub_right t).norm.const_mul _) (Eventually.of_forall fun t => L.le_opNorm₂ _ _)
theorem Integrable.ae_convolution_exists (hf : Integrable f ν) (hg : Integrable g μ) :
∀ᵐ x ∂μ, ConvolutionExistsAt f g x L ν :=
((integrable_prod_iff <|
hf.aestronglyMeasurable.convolution_integrand L hg.aestronglyMeasurable).mp <|
hf.convolution_integrand L hg).1
end Right
variable [TopologicalSpace G] [IsTopologicalAddGroup G] [BorelSpace G]
theorem _root_.HasCompactSupport.convolutionExistsAt {x₀ : G}
(h : HasCompactSupport fun t => L (f t) (g (x₀ - t))) (hf : LocallyIntegrable f μ)
(hg : Continuous g) : ConvolutionExistsAt f g x₀ L μ := by
let u := (Homeomorph.neg G).trans (Homeomorph.addRight x₀)
let v := (Homeomorph.neg G).trans (Homeomorph.addLeft x₀)
apply ((u.isCompact_preimage.mpr h).bddAbove_image hg.norm.continuousOn).convolutionExistsAt' L
isClosed_closure.measurableSet subset_closure (hf.integrableOn_isCompact h)
have A : AEStronglyMeasurable (g ∘ v)
(μ.restrict (tsupport fun t : G => L (f t) (g (x₀ - t)))) := by
apply (hg.comp v.continuous).continuousOn.aestronglyMeasurable_of_isCompact h
exact (isClosed_tsupport _).measurableSet
convert ((v.continuous.measurable.measurePreserving
(μ.restrict (tsupport fun t => L (f t) (g (x₀ - t))))).aestronglyMeasurable_comp_iff
v.measurableEmbedding).1 A
ext x
simp only [v, Homeomorph.neg, sub_eq_add_neg, val_toAddUnits_apply, Homeomorph.trans_apply,
Equiv.neg_apply, Equiv.toFun_as_coe, Homeomorph.homeomorph_mk_coe, Equiv.coe_fn_mk,
Homeomorph.coe_addLeft]
theorem _root_.HasCompactSupport.convolutionExists_right (hcg : HasCompactSupport g)
(hf : LocallyIntegrable f μ) (hg : Continuous g) : ConvolutionExists f g L μ := by
intro x₀
refine HasCompactSupport.convolutionExistsAt L ?_ hf hg
refine (hcg.comp_homeomorph (Homeomorph.subLeft x₀)).mono ?_
refine fun t => mt fun ht : g (x₀ - t) = 0 => ?_
simp_rw [ht, (L _).map_zero]
theorem _root_.HasCompactSupport.convolutionExists_left_of_continuous_right
(hcf : HasCompactSupport f) (hf : LocallyIntegrable f μ) (hg : Continuous g) :
ConvolutionExists f g L μ := by
intro x₀
refine HasCompactSupport.convolutionExistsAt L ?_ hf hg
refine hcf.mono ?_
refine fun t => mt fun ht : f t = 0 => ?_
simp_rw [ht, L.map_zero₂]
end Group
section CommGroup
variable [AddCommGroup G]
section MeasurableGroup
variable [MeasurableNeg G] [IsAddLeftInvariant μ]
/-- A sufficient condition to prove that `f ⋆[L, μ] g` exists.
We assume that the integrand has compact support and `g` is bounded on this support (note that
both properties hold if `g` is continuous with compact support). We also require that `f` is
integrable on the support of the integrand, and that both functions are strongly measurable.
This is a variant of `BddAbove.convolutionExistsAt'` in an abelian group with a left-invariant
measure. This allows us to state the boundedness and measurability of `g` in a more natural way. -/
theorem _root_.BddAbove.convolutionExistsAt [MeasurableAdd₂ G] [SFinite μ] {x₀ : G} {s : Set G}
(hbg : BddAbove ((fun i => ‖g i‖) '' ((fun t => x₀ - t) ⁻¹' s))) (hs : MeasurableSet s)
(h2s : (support fun t => L (f t) (g (x₀ - t))) ⊆ s) (hf : IntegrableOn f s μ)
(hmg : AEStronglyMeasurable g μ) : ConvolutionExistsAt f g x₀ L μ := by
refine BddAbove.convolutionExistsAt' L ?_ hs h2s hf ?_
· simp_rw [← sub_eq_neg_add, hbg]
· have : AEStronglyMeasurable g (map (fun t : G => x₀ - t) μ) :=
hmg.mono_ac (quasiMeasurePreserving_sub_left_of_right_invariant μ x₀).absolutelyContinuous
apply this.mono_measure
exact map_mono restrict_le_self (measurable_const.sub measurable_id')
variable {L} [MeasurableAdd G] [IsNegInvariant μ]
theorem convolutionExistsAt_flip :
ConvolutionExistsAt g f x L.flip μ ↔ ConvolutionExistsAt f g x L μ := by
simp_rw [ConvolutionExistsAt, ← integrable_comp_sub_left (fun t => L (f t) (g (x - t))) x,
sub_sub_cancel, flip_apply]
theorem ConvolutionExistsAt.integrable_swap (h : ConvolutionExistsAt f g x L μ) :
Integrable (fun t => L (f (x - t)) (g t)) μ := by
convert h.comp_sub_left x
simp_rw [sub_sub_self]
theorem convolutionExistsAt_iff_integrable_swap :
ConvolutionExistsAt f g x L μ ↔ Integrable (fun t => L (f (x - t)) (g t)) μ :=
convolutionExistsAt_flip.symm
end MeasurableGroup
variable [TopologicalSpace G] [IsTopologicalAddGroup G] [BorelSpace G]
variable [IsAddLeftInvariant μ] [IsNegInvariant μ]
theorem _root_.HasCompactSupport.convolutionExists_left
(hcf : HasCompactSupport f) (hf : Continuous f)
(hg : LocallyIntegrable g μ) : ConvolutionExists f g L μ := fun x₀ =>
convolutionExistsAt_flip.mp <| hcf.convolutionExists_right L.flip hg hf x₀
@[deprecated (since := "2025-02-06")]
alias _root_.HasCompactSupport.convolutionExistsLeft := HasCompactSupport.convolutionExists_left
theorem _root_.HasCompactSupport.convolutionExists_right_of_continuous_left
(hcg : HasCompactSupport g) (hf : Continuous f) (hg : LocallyIntegrable g μ) :
ConvolutionExists f g L μ := fun x₀ =>
convolutionExistsAt_flip.mp <| hcg.convolutionExists_left_of_continuous_right L.flip hg hf x₀
@[deprecated (since := "2025-02-06")]
alias _root_.HasCompactSupport.convolutionExistsRightOfContinuousLeft :=
HasCompactSupport.convolutionExists_right_of_continuous_left
end CommGroup
end ConvolutionExists
variable [NormedSpace ℝ F]
/-- The convolution of two functions `f` and `g` with respect to a continuous bilinear map `L` and
measure `μ`. It is defined to be `(f ⋆[L, μ] g) x = ∫ t, L (f t) (g (x - t)) ∂μ`. -/
noncomputable def convolution [Sub G] (f : G → E) (g : G → E') (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : G → F := fun x =>
∫ t, L (f t) (g (x - t)) ∂μ
/-- The convolution of two functions with respect to a bilinear operation `L` and a measure `μ`. -/
scoped[Convolution] notation:67 f " ⋆[" L:67 ", " μ:67 "] " g:66 => convolution f g L μ
/-- The convolution of two functions with respect to a bilinear operation `L` and the volume. -/
scoped[Convolution]
notation:67 f " ⋆[" L:67 "]" g:66 => convolution f g L MeasureSpace.volume
/-- The convolution of two real-valued functions with respect to volume. -/
scoped[Convolution]
notation:67 f " ⋆ " g:66 =>
convolution f g (ContinuousLinearMap.lsmul ℝ ℝ) MeasureSpace.volume
open scoped Convolution
theorem convolution_def [Sub G] : (f ⋆[L, μ] g) x = ∫ t, L (f t) (g (x - t)) ∂μ :=
rfl
/-- The definition of convolution where the bilinear operator is scalar multiplication.
Note: it often helps the elaborator to give the type of the convolution explicitly. -/
theorem convolution_lsmul [Sub G] {f : G → 𝕜} {g : G → F} :
(f ⋆[lsmul 𝕜 𝕜, μ] g : G → F) x = ∫ t, f t • g (x - t) ∂μ :=
rfl
/-- The definition of convolution where the bilinear operator is multiplication. -/
theorem convolution_mul [Sub G] [NormedSpace ℝ 𝕜] {f : G → 𝕜} {g : G → 𝕜} :
(f ⋆[mul 𝕜 𝕜, μ] g) x = ∫ t, f t * g (x - t) ∂μ :=
rfl
section Group
variable {L} [AddGroup G]
theorem smul_convolution [SMulCommClass ℝ 𝕜 F] {y : 𝕜} : y • f ⋆[L, μ] g = y • (f ⋆[L, μ] g) := by
ext; simp only [Pi.smul_apply, convolution_def, ← integral_smul, L.map_smul₂]
theorem convolution_smul [SMulCommClass ℝ 𝕜 F] {y : 𝕜} : f ⋆[L, μ] y • g = y • (f ⋆[L, μ] g) := by
ext; simp only [Pi.smul_apply, convolution_def, ← integral_smul, (L _).map_smul]
@[simp]
theorem zero_convolution : 0 ⋆[L, μ] g = 0 := by
ext
simp_rw [convolution_def, Pi.zero_apply, L.map_zero₂, integral_zero]
@[simp]
theorem convolution_zero : f ⋆[L, μ] 0 = 0 := by
ext
simp_rw [convolution_def, Pi.zero_apply, (L _).map_zero, integral_zero]
theorem ConvolutionExistsAt.distrib_add {x : G} (hfg : ConvolutionExistsAt f g x L μ)
(hfg' : ConvolutionExistsAt f g' x L μ) :
(f ⋆[L, μ] (g + g')) x = (f ⋆[L, μ] g) x + (f ⋆[L, μ] g') x := by
simp only [convolution_def, (L _).map_add, Pi.add_apply, integral_add hfg hfg']
theorem ConvolutionExists.distrib_add (hfg : ConvolutionExists f g L μ)
(hfg' : ConvolutionExists f g' L μ) : f ⋆[L, μ] (g + g') = f ⋆[L, μ] g + f ⋆[L, μ] g' := by
ext x
exact (hfg x).distrib_add (hfg' x)
theorem ConvolutionExistsAt.add_distrib {x : G} (hfg : ConvolutionExistsAt f g x L μ)
(hfg' : ConvolutionExistsAt f' g x L μ) :
((f + f') ⋆[L, μ] g) x = (f ⋆[L, μ] g) x + (f' ⋆[L, μ] g) x := by
simp only [convolution_def, L.map_add₂, Pi.add_apply, integral_add hfg hfg']
theorem ConvolutionExists.add_distrib (hfg : ConvolutionExists f g L μ)
(hfg' : ConvolutionExists f' g L μ) : (f + f') ⋆[L, μ] g = f ⋆[L, μ] g + f' ⋆[L, μ] g := by
ext x
exact (hfg x).add_distrib (hfg' x)
theorem convolution_mono_right {f g g' : G → ℝ} (hfg : ConvolutionExistsAt f g x (lsmul ℝ ℝ) μ)
(hfg' : ConvolutionExistsAt f g' x (lsmul ℝ ℝ) μ) (hf : ∀ x, 0 ≤ f x) (hg : ∀ x, g x ≤ g' x) :
(f ⋆[lsmul ℝ ℝ, μ] g) x ≤ (f ⋆[lsmul ℝ ℝ, μ] g') x := by
apply integral_mono hfg hfg'
simp only [lsmul_apply, Algebra.id.smul_eq_mul]
intro t
apply mul_le_mul_of_nonneg_left (hg _) (hf _)
theorem convolution_mono_right_of_nonneg {f g g' : G → ℝ}
(hfg' : ConvolutionExistsAt f g' x (lsmul ℝ ℝ) μ) (hf : ∀ x, 0 ≤ f x) (hg : ∀ x, g x ≤ g' x)
(hg' : ∀ x, 0 ≤ g' x) : (f ⋆[lsmul ℝ ℝ, μ] g) x ≤ (f ⋆[lsmul ℝ ℝ, μ] g') x := by
by_cases H : ConvolutionExistsAt f g x (lsmul ℝ ℝ) μ
· exact convolution_mono_right H hfg' hf hg
have : (f ⋆[lsmul ℝ ℝ, μ] g) x = 0 := integral_undef H
rw [this]
exact integral_nonneg fun y => mul_nonneg (hf y) (hg' (x - y))
variable (L)
theorem convolution_congr [MeasurableAdd₂ G] [MeasurableNeg G] [SFinite μ]
[IsAddRightInvariant μ] (h1 : f =ᵐ[μ] f') (h2 : g =ᵐ[μ] g') : f ⋆[L, μ] g = f' ⋆[L, μ] g' := by
ext x
apply integral_congr_ae
exact (h1.prodMk <| h2.comp_tendsto
(quasiMeasurePreserving_sub_left_of_right_invariant μ x).tendsto_ae).fun_comp ↿fun x y ↦ L x y
theorem support_convolution_subset_swap : support (f ⋆[L, μ] g) ⊆ support g + support f := by
intro x h2x
by_contra hx
apply h2x
simp_rw [Set.mem_add, ← exists_and_left, not_exists, not_and_or, nmem_support] at hx
rw [convolution_def]
convert integral_zero G F using 2
ext t
rcases hx (x - t) t with (h | h | h)
· rw [h, (L _).map_zero]
· rw [h, L.map_zero₂]
· exact (h <| sub_add_cancel x t).elim
section
variable [MeasurableAdd₂ G] [MeasurableNeg G] [SFinite μ] [IsAddRightInvariant μ]
theorem Integrable.integrable_convolution (hf : Integrable f μ)
(hg : Integrable g μ) : Integrable (f ⋆[L, μ] g) μ :=
(hf.convolution_integrand L hg).integral_prod_left
end
variable [TopologicalSpace G]
variable [IsTopologicalAddGroup G]
protected theorem _root_.HasCompactSupport.convolution [T2Space G] (hcf : HasCompactSupport f)
(hcg : HasCompactSupport g) : HasCompactSupport (f ⋆[L, μ] g) :=
(hcg.isCompact.add hcf).of_isClosed_subset isClosed_closure <|
closure_minimal
((support_convolution_subset_swap L).trans <| add_subset_add subset_closure subset_closure)
(hcg.isCompact.add hcf).isClosed
variable [BorelSpace G] [TopologicalSpace P]
/-- The convolution `f * g` is continuous if `f` is locally integrable and `g` is continuous and
compactly supported. Version where `g` depends on an additional parameter in a subset `s` of
a parameter space `P` (and the compact support `k` is independent of the parameter in `s`). -/
theorem continuousOn_convolution_right_with_param {g : P → G → E'} {s : Set P} {k : Set G}
(hk : IsCompact k) (hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0)
(hf : LocallyIntegrable f μ) (hg : ContinuousOn (↿g) (s ×ˢ univ)) :
ContinuousOn (fun q : P × G => (f ⋆[L, μ] g q.1) q.2) (s ×ˢ univ) := by
/- First get rid of the case where the space is not locally compact. Then `g` vanishes everywhere
and the conclusion is trivial. -/
by_cases H : ∀ p ∈ s, ∀ x, g p x = 0
· apply (continuousOn_const (c := 0)).congr
rintro ⟨p, x⟩ ⟨hp, -⟩
apply integral_eq_zero_of_ae (Eventually.of_forall (fun y ↦ ?_))
simp [H p hp _]
have : LocallyCompactSpace G := by
push_neg at H
rcases H with ⟨p, hp, x, hx⟩
have A : support (g p) ⊆ k := support_subset_iff'.2 (fun y hy ↦ hgs p y hp hy)
have B : Continuous (g p) := by
refine hg.comp_continuous (.prodMk_right _) fun x => ?_
simpa only [prodMk_mem_set_prod_eq, mem_univ, and_true] using hp
rcases eq_zero_or_locallyCompactSpace_of_support_subset_isCompact_of_addGroup hk A B with H|H
· simp [H] at hx
· exact H
/- Since `G` is locally compact, one may thicken `k` a little bit into a larger compact set
`(-k) + t`, outside of which all functions that appear in the convolution vanish. Then we can
apply a continuity statement for integrals depending on a parameter, with respect to
locally integrable functions and compactly supported continuous functions. -/
rintro ⟨q₀, x₀⟩ ⟨hq₀, -⟩
obtain ⟨t, t_comp, ht⟩ : ∃ t, IsCompact t ∧ t ∈ 𝓝 x₀ := exists_compact_mem_nhds x₀
let k' : Set G := (-k) +ᵥ t
have k'_comp : IsCompact k' := IsCompact.vadd_set hk.neg t_comp
let g' : (P × G) → G → E' := fun p x ↦ g p.1 (p.2 - x)
let s' : Set (P × G) := s ×ˢ t
have A : ContinuousOn g'.uncurry (s' ×ˢ univ) := by
have : g'.uncurry = g.uncurry ∘ (fun w ↦ (w.1.1, w.1.2 - w.2)) := by ext y; rfl
rw [this]
refine hg.comp (by fun_prop) ?_
simp +contextual [s', MapsTo]
have B : ContinuousOn (fun a ↦ ∫ x, L (f x) (g' a x) ∂μ) s' := by
apply continuousOn_integral_bilinear_of_locally_integrable_of_compact_support L k'_comp A _
(hf.integrableOn_isCompact k'_comp)
rintro ⟨p, x⟩ y ⟨hp, hx⟩ hy
apply hgs p _ hp
contrapose! hy
exact ⟨y - x, by simpa using hy, x, hx, by simp⟩
apply ContinuousWithinAt.mono_of_mem_nhdsWithin (B (q₀, x₀) ⟨hq₀, mem_of_mem_nhds ht⟩)
exact mem_nhdsWithin_prod_iff.2 ⟨s, self_mem_nhdsWithin, t, nhdsWithin_le_nhds ht, Subset.rfl⟩
/-- The convolution `f * g` is continuous if `f` is locally integrable and `g` is continuous and
compactly supported. Version where `g` depends on an additional parameter in an open subset `s` of
a parameter space `P` (and the compact support `k` is independent of the parameter in `s`),
given in terms of compositions with an additional continuous map. -/
theorem continuousOn_convolution_right_with_param_comp {s : Set P} {v : P → G}
(hv : ContinuousOn v s) {g : P → G → E'} {k : Set G} (hk : IsCompact k)
(hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0) (hf : LocallyIntegrable f μ)
(hg : ContinuousOn (↿g) (s ×ˢ univ)) : ContinuousOn (fun x => (f ⋆[L, μ] g x) (v x)) s := by
apply
(continuousOn_convolution_right_with_param L hk hgs hf hg).comp (continuousOn_id.prodMk hv)
intro x hx
simp only [hx, prodMk_mem_set_prod_eq, mem_univ, and_self_iff, _root_.id]
/-- The convolution is continuous if one function is locally integrable and the other has compact
support and is continuous. -/
theorem _root_.HasCompactSupport.continuous_convolution_right (hcg : HasCompactSupport g)
(hf : LocallyIntegrable f μ) (hg : Continuous g) : Continuous (f ⋆[L, μ] g) := by
rw [continuous_iff_continuousOn_univ]
let g' : G → G → E' := fun _ q => g q
have : ContinuousOn (↿g') (univ ×ˢ univ) := (hg.comp continuous_snd).continuousOn
exact continuousOn_convolution_right_with_param_comp L
(continuous_iff_continuousOn_univ.1 continuous_id) hcg
(fun p x _ hx => image_eq_zero_of_nmem_tsupport hx) hf this
/-- The convolution is continuous if one function is integrable and the other is bounded and
continuous. -/
theorem _root_.BddAbove.continuous_convolution_right_of_integrable
[FirstCountableTopology G] [SecondCountableTopologyEither G E']
(hbg : BddAbove (range fun x => ‖g x‖)) (hf : Integrable f μ) (hg : Continuous g) :
Continuous (f ⋆[L, μ] g) := by
refine continuous_iff_continuousAt.mpr fun x₀ => ?_
have : ∀ᶠ x in 𝓝 x₀, ∀ᵐ t : G ∂μ, ‖L (f t) (g (x - t))‖ ≤ ‖L‖ * ‖f t‖ * ⨆ i, ‖g i‖ := by
filter_upwards with x; filter_upwards with t
apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl, le_ciSup hbg (x - t)]
refine continuousAt_of_dominated ?_ this ?_ ?_
· exact Eventually.of_forall fun x =>
hf.aestronglyMeasurable.convolution_integrand_snd' L hg.aestronglyMeasurable
· exact (hf.norm.const_mul _).mul_const _
· exact Eventually.of_forall fun t => (L.continuous₂.comp₂ continuous_const <|
hg.comp <| continuous_id.sub continuous_const).continuousAt
end Group
section CommGroup
variable [AddCommGroup G]
theorem support_convolution_subset : support (f ⋆[L, μ] g) ⊆ support f + support g :=
(support_convolution_subset_swap L).trans (add_comm _ _).subset
variable [IsAddLeftInvariant μ] [IsNegInvariant μ]
section Measurable
variable [MeasurableNeg G]
variable [MeasurableAdd G]
/-- Commutativity of convolution -/
theorem convolution_flip : g ⋆[L.flip, μ] f = f ⋆[L, μ] g := by
ext1 x
simp_rw [convolution_def]
rw [← integral_sub_left_eq_self _ μ x]
simp_rw [sub_sub_self, flip_apply]
/-- The symmetric definition of convolution. -/
theorem convolution_eq_swap : (f ⋆[L, μ] g) x = ∫ t, L (f (x - t)) (g t) ∂μ := by
rw [← convolution_flip]; rfl
/-- The symmetric definition of convolution where the bilinear operator is scalar multiplication. -/
theorem convolution_lsmul_swap {f : G → 𝕜} {g : G → F} :
(f ⋆[lsmul 𝕜 𝕜, μ] g : G → F) x = ∫ t, f (x - t) • g t ∂μ :=
convolution_eq_swap _
/-- The symmetric definition of convolution where the bilinear operator is multiplication. -/
theorem convolution_mul_swap [NormedSpace ℝ 𝕜] {f : G → 𝕜} {g : G → 𝕜} :
(f ⋆[mul 𝕜 𝕜, μ] g) x = ∫ t, f (x - t) * g t ∂μ :=
convolution_eq_swap _
/-- The convolution of two even functions is also even. -/
theorem convolution_neg_of_neg_eq (h1 : ∀ᵐ x ∂μ, f (-x) = f x) (h2 : ∀ᵐ x ∂μ, g (-x) = g x) :
(f ⋆[L, μ] g) (-x) = (f ⋆[L, μ] g) x :=
calc
∫ t : G, (L (f t)) (g (-x - t)) ∂μ = ∫ t : G, (L (f (-t))) (g (x + t)) ∂μ := by
apply integral_congr_ae
filter_upwards [h1, (eventually_add_left_iff μ x).2 h2] with t ht h't
simp_rw [ht, ← h't, neg_add']
_ = ∫ t : G, (L (f t)) (g (x - t)) ∂μ := by
rw [← integral_neg_eq_self]
simp only [neg_neg, ← sub_eq_add_neg]
end Measurable
variable [TopologicalSpace G]
variable [IsTopologicalAddGroup G]
variable [BorelSpace G]
theorem _root_.HasCompactSupport.continuous_convolution_left
(hcf : HasCompactSupport f) (hf : Continuous f) (hg : LocallyIntegrable g μ) :
Continuous (f ⋆[L, μ] g) := by
rw [← convolution_flip]
exact hcf.continuous_convolution_right L.flip hg hf
theorem _root_.BddAbove.continuous_convolution_left_of_integrable
[FirstCountableTopology G] [SecondCountableTopologyEither G E]
(hbf : BddAbove (range fun x => ‖f x‖)) (hf : Continuous f) (hg : Integrable g μ) :
Continuous (f ⋆[L, μ] g) := by
rw [← convolution_flip]
exact hbf.continuous_convolution_right_of_integrable L.flip hg hf
end CommGroup
section NormedAddCommGroup
variable [SeminormedAddCommGroup G]
/-- Compute `(f ⋆ g) x₀` if the support of the `f` is within `Metric.ball 0 R`, and `g` is constant
on `Metric.ball x₀ R`.
We can simplify the RHS further if we assume `f` is integrable, but also if `L = (•)` or more
generally if `L` has an `AntilipschitzWith`-condition. -/
theorem convolution_eq_right' {x₀ : G} {R : ℝ} (hf : support f ⊆ ball (0 : G) R)
(hg : ∀ x ∈ ball x₀ R, g x = g x₀) : (f ⋆[L, μ] g) x₀ = ∫ t, L (f t) (g x₀) ∂μ := by
have h2 : ∀ t, L (f t) (g (x₀ - t)) = L (f t) (g x₀) := fun t ↦ by
by_cases ht : t ∈ support f
· have h2t := hf ht
rw [mem_ball_zero_iff] at h2t
specialize hg (x₀ - t)
rw [sub_eq_add_neg, add_mem_ball_iff_norm, norm_neg, ← sub_eq_add_neg] at hg
rw [hg h2t]
· rw [nmem_support] at ht
simp_rw [ht, L.map_zero₂]
simp_rw [convolution_def, h2]
variable [BorelSpace G] [SecondCountableTopology G]
variable [IsAddLeftInvariant μ] [SFinite μ]
/-- Approximate `(f ⋆ g) x₀` if the support of the `f` is bounded within a ball, and `g` is near
`g x₀` on a ball with the same radius around `x₀`. See `dist_convolution_le` for a special case.
We can simplify the second argument of `dist` further if we add some extra type-classes on `E`
and `𝕜` or if `L` is scalar multiplication. -/
theorem dist_convolution_le' {x₀ : G} {R ε : ℝ} {z₀ : E'} (hε : 0 ≤ ε) (hif : Integrable f μ)
(hf : support f ⊆ ball (0 : G) R) (hmg : AEStronglyMeasurable g μ)
(hg : ∀ x ∈ ball x₀ R, dist (g x) z₀ ≤ ε) :
dist ((f ⋆[L, μ] g : G → F) x₀) (∫ t, L (f t) z₀ ∂μ) ≤ (‖L‖ * ∫ x, ‖f x‖ ∂μ) * ε := by
have hfg : ConvolutionExistsAt f g x₀ L μ := by
refine BddAbove.convolutionExistsAt L ?_ Metric.isOpen_ball.measurableSet (Subset.trans ?_ hf)
hif.integrableOn hmg
swap; · refine fun t => mt fun ht : f t = 0 => ?_; simp_rw [ht, L.map_zero₂]
rw [bddAbove_def]
refine ⟨‖z₀‖ + ε, ?_⟩
rintro _ ⟨x, hx, rfl⟩
refine norm_le_norm_add_const_of_dist_le (hg x ?_)
rwa [mem_ball_iff_norm, norm_sub_rev, ← mem_ball_zero_iff]
have h2 : ∀ t, dist (L (f t) (g (x₀ - t))) (L (f t) z₀) ≤ ‖L (f t)‖ * ε := by
intro t; by_cases ht : t ∈ support f
· have h2t := hf ht
rw [mem_ball_zero_iff] at h2t
specialize hg (x₀ - t)
rw [sub_eq_add_neg, add_mem_ball_iff_norm, norm_neg, ← sub_eq_add_neg] at hg
refine ((L (f t)).dist_le_opNorm _ _).trans ?_
exact mul_le_mul_of_nonneg_left (hg h2t) (norm_nonneg _)
· rw [nmem_support] at ht
simp_rw [ht, L.map_zero₂, L.map_zero, norm_zero, zero_mul, dist_self]
rfl
simp_rw [convolution_def]
simp_rw [dist_eq_norm] at h2 ⊢
rw [← integral_sub hfg.integrable]; swap; · exact (L.flip z₀).integrable_comp hif
refine (norm_integral_le_of_norm_le ((L.integrable_comp hif).norm.mul_const ε)
(Eventually.of_forall h2)).trans ?_
rw [integral_mul_const]
refine mul_le_mul_of_nonneg_right ?_ hε
have h3 : ∀ t, ‖L (f t)‖ ≤ ‖L‖ * ‖f t‖ := by
intro t
exact L.le_opNorm (f t)
refine (integral_mono (L.integrable_comp hif).norm (hif.norm.const_mul _) h3).trans_eq ?_
rw [integral_const_mul]
variable [NormedSpace ℝ E] [NormedSpace ℝ E'] [CompleteSpace E']
/-- Approximate `f ⋆ g` if the support of the `f` is bounded within a ball, and `g` is near `g x₀`
on a ball with the same radius around `x₀`.
This is a special case of `dist_convolution_le'` where `L` is `(•)`, `f` has integral 1 and `f` is
nonnegative. -/
theorem dist_convolution_le {f : G → ℝ} {x₀ : G} {R ε : ℝ} {z₀ : E'} (hε : 0 ≤ ε)
(hf : support f ⊆ ball (0 : G) R) (hnf : ∀ x, 0 ≤ f x) (hintf : ∫ x, f x ∂μ = 1)
(hmg : AEStronglyMeasurable g μ) (hg : ∀ x ∈ ball x₀ R, dist (g x) z₀ ≤ ε) :
dist ((f ⋆[lsmul ℝ ℝ, μ] g : G → E') x₀) z₀ ≤ ε := by
have hif : Integrable f μ := integrable_of_integral_eq_one hintf
convert (dist_convolution_le' (lsmul ℝ ℝ) hε hif hf hmg hg).trans _
· simp_rw [lsmul_apply, integral_smul_const, hintf, one_smul]
· simp_rw [Real.norm_of_nonneg (hnf _), hintf, mul_one]
exact (mul_le_mul_of_nonneg_right opNorm_lsmul_le hε).trans_eq (one_mul ε)
/-- `(φ i ⋆ g i) (k i)` tends to `z₀` as `i` tends to some filter `l` if
* `φ` is a sequence of nonnegative functions with integral `1` as `i` tends to `l`;
* The support of `φ` tends to small neighborhoods around `(0 : G)` as `i` tends to `l`;
* `g i` is `mu`-a.e. strongly measurable as `i` tends to `l`;
* `g i x` tends to `z₀` as `(i, x)` tends to `l ×ˢ 𝓝 x₀`;
* `k i` tends to `x₀`.
See also `ContDiffBump.convolution_tendsto_right`.
-/
theorem convolution_tendsto_right {ι} {g : ι → G → E'} {l : Filter ι} {x₀ : G} {z₀ : E'}
{φ : ι → G → ℝ} {k : ι → G} (hnφ : ∀ᶠ i in l, ∀ x, 0 ≤ φ i x)
(hiφ : ∀ᶠ i in l, ∫ x, φ i x ∂μ = 1)
-- todo: we could weaken this to "the integral tends to 1"
(hφ : Tendsto (fun n => support (φ n)) l (𝓝 0).smallSets)
(hmg : ∀ᶠ i in l, AEStronglyMeasurable (g i) μ) (hcg : Tendsto (uncurry g) (l ×ˢ 𝓝 x₀) (𝓝 z₀))
(hk : Tendsto k l (𝓝 x₀)) :
Tendsto (fun i : ι => (φ i ⋆[lsmul ℝ ℝ, μ] g i : G → E') (k i)) l (𝓝 z₀) := by
simp_rw [tendsto_smallSets_iff] at hφ
rw [Metric.tendsto_nhds] at hcg ⊢
simp_rw [Metric.eventually_prod_nhds_iff] at hcg
intro ε hε
have h2ε : 0 < ε / 3 := div_pos hε (by norm_num)
obtain ⟨p, hp, δ, hδ, hgδ⟩ := hcg _ h2ε
dsimp only [uncurry] at hgδ
have h2k := hk.eventually (ball_mem_nhds x₀ <| half_pos hδ)
have h2φ := hφ (ball (0 : G) _) <| ball_mem_nhds _ (half_pos hδ)
filter_upwards [hp, h2k, h2φ, hnφ, hiφ, hmg] with i hpi hki hφi hnφi hiφi hmgi
have hgi : dist (g i (k i)) z₀ < ε / 3 := hgδ hpi (hki.trans <| half_lt_self hδ)
have h1 : ∀ x' ∈ ball (k i) (δ / 2), dist (g i x') (g i (k i)) ≤ ε / 3 + ε / 3 := by
intro x' hx'
refine (dist_triangle_right _ _ _).trans (add_le_add (hgδ hpi ?_).le hgi.le)
exact ((dist_triangle _ _ _).trans_lt (add_lt_add hx'.out hki)).trans_eq (add_halves δ)
have := dist_convolution_le (add_pos h2ε h2ε).le hφi hnφi hiφi hmgi h1
refine ((dist_triangle _ _ _).trans_lt (add_lt_add_of_le_of_lt this hgi)).trans_eq ?_
field_simp; ring_nf
end NormedAddCommGroup
end Measurability
end NontriviallyNormedField
open scoped Convolution
section RCLike
variable [RCLike 𝕜]
variable [NormedSpace 𝕜 E]
variable [NormedSpace 𝕜 E']
variable [NormedSpace 𝕜 E'']
variable [NormedSpace ℝ F] [NormedSpace 𝕜 F]
variable {n : ℕ∞}
variable [MeasurableSpace G] {μ ν : Measure G}
variable (L : E →L[𝕜] E' →L[𝕜] F)
section Assoc
variable [CompleteSpace F]
variable [NormedAddCommGroup F'] [NormedSpace ℝ F'] [NormedSpace 𝕜 F'] [CompleteSpace F']
variable [NormedAddCommGroup F''] [NormedSpace ℝ F''] [NormedSpace 𝕜 F''] [CompleteSpace F'']
variable {k : G → E''}
variable (L₂ : F →L[𝕜] E'' →L[𝕜] F')
variable (L₃ : E →L[𝕜] F'' →L[𝕜] F')
variable (L₄ : E' →L[𝕜] E'' →L[𝕜] F'')
variable [AddGroup G]
variable [SFinite μ] [SFinite ν] [IsAddRightInvariant μ]
theorem integral_convolution [MeasurableAdd₂ G] [MeasurableNeg G] [NormedSpace ℝ E]
[NormedSpace ℝ E'] [CompleteSpace E] [CompleteSpace E'] (hf : Integrable f ν)
(hg : Integrable g μ) : ∫ x, (f ⋆[L, ν] g) x ∂μ = L (∫ x, f x ∂ν) (∫ x, g x ∂μ) := by
refine (integral_integral_swap (by apply hf.convolution_integrand L hg)).trans ?_
simp_rw [integral_comp_comm _ (hg.comp_sub_right _), integral_sub_right_eq_self]
exact (L.flip (∫ x, g x ∂μ)).integral_comp_comm hf
variable [MeasurableAdd₂ G] [IsAddRightInvariant ν] [MeasurableNeg G]
/-- Convolution is associative. This has a weak but inconvenient integrability condition.
See also `MeasureTheory.convolution_assoc`. -/
theorem convolution_assoc' (hL : ∀ (x : E) (y : E') (z : E''), L₂ (L x y) z = L₃ x (L₄ y z))
{x₀ : G} (hfg : ∀ᵐ y ∂μ, ConvolutionExistsAt f g y L ν)
(hgk : ∀ᵐ x ∂ν, ConvolutionExistsAt g k x L₄ μ)
(hi : Integrable (uncurry fun x y => (L₃ (f y)) ((L₄ (g (x - y))) (k (x₀ - x)))) (μ.prod ν)) :
((f ⋆[L, ν] g) ⋆[L₂, μ] k) x₀ = (f ⋆[L₃, ν] g ⋆[L₄, μ] k) x₀ :=
calc
((f ⋆[L, ν] g) ⋆[L₂, μ] k) x₀ = ∫ t, L₂ (∫ s, L (f s) (g (t - s)) ∂ν) (k (x₀ - t)) ∂μ := rfl
_ = ∫ t, ∫ s, L₂ (L (f s) (g (t - s))) (k (x₀ - t)) ∂ν ∂μ :=
(integral_congr_ae (hfg.mono fun t ht => ((L₂.flip (k (x₀ - t))).integral_comp_comm ht).symm))
_ = ∫ t, ∫ s, L₃ (f s) (L₄ (g (t - s)) (k (x₀ - t))) ∂ν ∂μ := by simp_rw [hL]
_ = ∫ s, ∫ t, L₃ (f s) (L₄ (g (t - s)) (k (x₀ - t))) ∂μ ∂ν := by rw [integral_integral_swap hi]
_ = ∫ s, ∫ u, L₃ (f s) (L₄ (g u) (k (x₀ - s - u))) ∂μ ∂ν := by
congr; ext t
rw [eq_comm, ← integral_sub_right_eq_self _ t]
simp_rw [sub_sub_sub_cancel_right]
_ = ∫ s, L₃ (f s) (∫ u, L₄ (g u) (k (x₀ - s - u)) ∂μ) ∂ν := by
refine integral_congr_ae ?_
refine ((quasiMeasurePreserving_sub_left_of_right_invariant ν x₀).ae hgk).mono fun t ht => ?_
exact (L₃ (f t)).integral_comp_comm ht
_ = (f ⋆[L₃, ν] g ⋆[L₄, μ] k) x₀ := rfl
/-- Convolution is associative. This requires that
* all maps are a.e. strongly measurable w.r.t one of the measures
* `f ⋆[L, ν] g` exists almost everywhere
* `‖g‖ ⋆[μ] ‖k‖` exists almost everywhere
* `‖f‖ ⋆[ν] (‖g‖ ⋆[μ] ‖k‖)` exists at `x₀` -/
theorem convolution_assoc (hL : ∀ (x : E) (y : E') (z : E''), L₂ (L x y) z = L₃ x (L₄ y z)) {x₀ : G}
(hf : AEStronglyMeasurable f ν) (hg : AEStronglyMeasurable g μ) (hk : AEStronglyMeasurable k μ)
(hfg : ∀ᵐ y ∂μ, ConvolutionExistsAt f g y L ν)
(hgk : ∀ᵐ x ∂ν, ConvolutionExistsAt (fun x => ‖g x‖) (fun x => ‖k x‖) x (mul ℝ ℝ) μ)
(hfgk :
ConvolutionExistsAt (fun x => ‖f x‖) ((fun x => ‖g x‖) ⋆[mul ℝ ℝ, μ] fun x => ‖k x‖) x₀
(mul ℝ ℝ) ν) :
((f ⋆[L, ν] g) ⋆[L₂, μ] k) x₀ = (f ⋆[L₃, ν] g ⋆[L₄, μ] k) x₀ := by
refine convolution_assoc' L L₂ L₃ L₄ hL hfg (hgk.mono fun x hx => hx.of_norm L₄ hg hk) ?_
-- the following is similar to `Integrable.convolution_integrand`
have h_meas :
AEStronglyMeasurable (uncurry fun x y => L₃ (f y) (L₄ (g x) (k (x₀ - y - x))))
(μ.prod ν) := by
refine L₃.aestronglyMeasurable_comp₂ hf.snd ?_
refine L₄.aestronglyMeasurable_comp₂ hg.fst ?_
refine (hk.mono_ac ?_).comp_measurable
((measurable_const.sub measurable_snd).sub measurable_fst)
refine QuasiMeasurePreserving.absolutelyContinuous ?_
refine QuasiMeasurePreserving.prod_of_left
((measurable_const.sub measurable_snd).sub measurable_fst) (Eventually.of_forall fun y => ?_)
dsimp only
exact quasiMeasurePreserving_sub_left_of_right_invariant μ _
have h2_meas :
AEStronglyMeasurable (fun y => ∫ x, ‖L₃ (f y) (L₄ (g x) (k (x₀ - y - x)))‖ ∂μ) ν :=
h_meas.prod_swap.norm.integral_prod_right'
have h3 : map (fun z : G × G => (z.1 - z.2, z.2)) (μ.prod ν) = μ.prod ν :=
(measurePreserving_sub_prod μ ν).map_eq
suffices Integrable (uncurry fun x y => L₃ (f y) (L₄ (g x) (k (x₀ - y - x)))) (μ.prod ν) by
rw [← h3] at this
convert this.comp_measurable (measurable_sub.prodMk measurable_snd)
ext ⟨x, y⟩
simp +unfoldPartialApp only [uncurry, Function.comp_apply,
sub_sub_sub_cancel_right]
simp_rw [integrable_prod_iff' h_meas]
refine ⟨((quasiMeasurePreserving_sub_left_of_right_invariant ν x₀).ae hgk).mono fun t ht =>
(L₃ (f t)).integrable_comp <| ht.of_norm L₄ hg hk, ?_⟩
refine (hfgk.const_mul (‖L₃‖ * ‖L₄‖)).mono' h2_meas
(((quasiMeasurePreserving_sub_left_of_right_invariant ν x₀).ae hgk).mono fun t ht => ?_)
simp_rw [convolution_def, mul_apply', mul_mul_mul_comm ‖L₃‖ ‖L₄‖, ← integral_const_mul]
rw [Real.norm_of_nonneg (by positivity)]
refine integral_mono_of_nonneg (Eventually.of_forall fun t => norm_nonneg _)
((ht.const_mul _).const_mul _) (Eventually.of_forall fun s => ?_)
simp only [← mul_assoc ‖L₄‖]
apply_rules [ContinuousLinearMap.le_of_opNorm₂_le_of_le, le_rfl]
end Assoc
variable [NormedAddCommGroup G] [BorelSpace G]
theorem convolution_precompR_apply {g : G → E'' →L[𝕜] E'} (hf : LocallyIntegrable f μ)
(hcg : HasCompactSupport g) (hg : Continuous g) (x₀ : G) (x : E'') :
(f ⋆[L.precompR E'', μ] g) x₀ x = (f ⋆[L, μ] fun a => g a x) x₀ := by
have := hcg.convolutionExists_right (L.precompR E'' :) hf hg x₀
simp_rw [convolution_def, ContinuousLinearMap.integral_apply this]
rfl
variable [NormedSpace 𝕜 G] [SFinite μ] [IsAddLeftInvariant μ]
/-- Compute the total derivative of `f ⋆ g` if `g` is `C^1` with compact support and `f` is locally
integrable. To write down the total derivative as a convolution, we use
`ContinuousLinearMap.precompR`. -/
theorem _root_.HasCompactSupport.hasFDerivAt_convolution_right (hcg : HasCompactSupport g)
(hf : LocallyIntegrable f μ) (hg : ContDiff 𝕜 1 g) (x₀ : G) :
HasFDerivAt (f ⋆[L, μ] g) ((f ⋆[L.precompR G, μ] fderiv 𝕜 g) x₀) x₀ := by
rcases hcg.eq_zero_or_finiteDimensional 𝕜 hg.continuous with (rfl | fin_dim)
· have : fderiv 𝕜 (0 : G → E') = 0 := fderiv_const (0 : E')
simp only [this, convolution_zero, Pi.zero_apply]
exact hasFDerivAt_const (0 : F) x₀
have : ProperSpace G := FiniteDimensional.proper_rclike 𝕜 G
set L' := L.precompR G
have h1 : ∀ᶠ x in 𝓝 x₀, AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ :=
Eventually.of_forall
(hf.aestronglyMeasurable.convolution_integrand_snd L hg.continuous.aestronglyMeasurable)
have h2 : ∀ x, AEStronglyMeasurable (fun t => L' (f t) (fderiv 𝕜 g (x - t))) μ :=
hf.aestronglyMeasurable.convolution_integrand_snd L'
(hg.continuous_fderiv le_rfl).aestronglyMeasurable
have h3 : ∀ x t, HasFDerivAt (fun x => g (x - t)) (fderiv 𝕜 g (x - t)) x := fun x t ↦ by
simpa using
(hg.differentiable le_rfl).differentiableAt.hasFDerivAt.comp x
((hasFDerivAt_id x).sub (hasFDerivAt_const t x))
let K' := -tsupport (fderiv 𝕜 g) + closedBall x₀ 1
have hK' : IsCompact K' := (hcg.fderiv 𝕜).neg.add (isCompact_closedBall x₀ 1)
apply hasFDerivAt_integral_of_dominated_of_fderiv_le zero_lt_one h1 _ (h2 x₀)
· filter_upwards with t x hx using
(hcg.fderiv 𝕜).convolution_integrand_bound_right L' (hg.continuous_fderiv le_rfl)
(ball_subset_closedBall hx)
· rw [integrable_indicator_iff hK'.measurableSet]
exact ((hf.integrableOn_isCompact hK').norm.const_mul _).mul_const _
· exact Eventually.of_forall fun t x _ => (L _).hasFDerivAt.comp x (h3 x t)
· exact hcg.convolutionExists_right L hf hg.continuous x₀
theorem _root_.HasCompactSupport.hasFDerivAt_convolution_left [IsNegInvariant μ]
(hcf : HasCompactSupport f) (hf : ContDiff 𝕜 1 f) (hg : LocallyIntegrable g μ) (x₀ : G) :
HasFDerivAt (f ⋆[L, μ] g) ((fderiv 𝕜 f ⋆[L.precompL G, μ] g) x₀) x₀ := by
simp +singlePass only [← convolution_flip]
exact hcf.hasFDerivAt_convolution_right L.flip hg hf x₀
end RCLike
section Real
/-! The one-variable case -/
variable [RCLike 𝕜]
variable [NormedSpace 𝕜 E]
variable [NormedSpace 𝕜 E']
variable [NormedSpace ℝ F] [NormedSpace 𝕜 F]
variable {f₀ : 𝕜 → E} {g₀ : 𝕜 → E'}
variable {n : ℕ∞}
variable (L : E →L[𝕜] E' →L[𝕜] F)
variable {μ : Measure 𝕜}
variable [IsAddLeftInvariant μ] [SFinite μ]
theorem _root_.HasCompactSupport.hasDerivAt_convolution_right (hf : LocallyIntegrable f₀ μ)
(hcg : HasCompactSupport g₀) (hg : ContDiff 𝕜 1 g₀) (x₀ : 𝕜) :
HasDerivAt (f₀ ⋆[L, μ] g₀) ((f₀ ⋆[L, μ] deriv g₀) x₀) x₀ := by
convert (hcg.hasFDerivAt_convolution_right L hf hg x₀).hasDerivAt using 1
rw [convolution_precompR_apply L hf (hcg.fderiv 𝕜) (hg.continuous_fderiv le_rfl)]
rfl
theorem _root_.HasCompactSupport.hasDerivAt_convolution_left [IsNegInvariant μ]
(hcf : HasCompactSupport f₀) (hf : ContDiff 𝕜 1 f₀) (hg : LocallyIntegrable g₀ μ) (x₀ : 𝕜) :
HasDerivAt (f₀ ⋆[L, μ] g₀) ((deriv f₀ ⋆[L, μ] g₀) x₀) x₀ := by
simp +singlePass only [← convolution_flip]
exact hcf.hasDerivAt_convolution_right L.flip hg hf x₀
end Real
section WithParam
variable [RCLike 𝕜] [NormedSpace 𝕜 E] [NormedSpace 𝕜 E'] [NormedSpace 𝕜 E''] [NormedSpace ℝ F]
[NormedSpace 𝕜 F] [MeasurableSpace G] [NormedAddCommGroup G] [BorelSpace G]
[NormedSpace 𝕜 G] [NormedAddCommGroup P] [NormedSpace 𝕜 P] {μ : Measure G}
(L : E →L[𝕜] E' →L[𝕜] F)
/-- The derivative of the convolution `f * g` is given by `f * Dg`, when `f` is locally integrable
and `g` is `C^1` and compactly supported. Version where `g` depends on an additional parameter in an
open subset `s` of a parameter space `P` (and the compact support `k` is independent of the
parameter in `s`). -/
theorem hasFDerivAt_convolution_right_with_param {g : P → G → E'} {s : Set P} {k : Set G}
(hs : IsOpen s) (hk : IsCompact k) (hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0)
(hf : LocallyIntegrable f μ) (hg : ContDiffOn 𝕜 1 (↿g) (s ×ˢ univ)) (q₀ : P × G)
(hq₀ : q₀.1 ∈ s) :
HasFDerivAt (fun q : P × G => (f ⋆[L, μ] g q.1) q.2)
((f ⋆[L.precompR (P × G), μ] fun x : G => fderiv 𝕜 (↿g) (q₀.1, x)) q₀.2) q₀ := by
let g' := fderiv 𝕜 ↿g
have A : ∀ p ∈ s, Continuous (g p) := fun p hp ↦ by
refine hg.continuousOn.comp_continuous (.prodMk_right _) fun x => ?_
simpa only [prodMk_mem_set_prod_eq, mem_univ, and_true] using hp
have A' : ∀ q : P × G, q.1 ∈ s → s ×ˢ univ ∈ 𝓝 q := fun q hq ↦ by
apply (hs.prod isOpen_univ).mem_nhds
simpa only [mem_prod, mem_univ, and_true] using hq
-- The derivative of `g` vanishes away from `k`.
have g'_zero : ∀ p x, p ∈ s → x ∉ k → g' (p, x) = 0 := by
intro p x hp hx
refine (hasFDerivAt_zero_of_eventually_const 0 ?_).fderiv
have M2 : kᶜ ∈ 𝓝 x := hk.isClosed.isOpen_compl.mem_nhds hx
have M1 : s ∈ 𝓝 p := hs.mem_nhds hp
rw [nhds_prod_eq]
filter_upwards [prod_mem_prod M1 M2]
rintro ⟨p, y⟩ ⟨hp, hy⟩
exact hgs p y hp hy
/- We find a small neighborhood of `{q₀.1} × k` on which the derivative is uniformly bounded. This
follows from the continuity at all points of the compact set `k`. -/
obtain ⟨ε, C, εpos, h₀ε, hε⟩ :
∃ ε C, 0 < ε ∧ ball q₀.1 ε ⊆ s ∧ ∀ p x, ‖p - q₀.1‖ < ε → ‖g' (p, x)‖ ≤ C := by
have A : IsCompact ({q₀.1} ×ˢ k) := isCompact_singleton.prod hk
obtain ⟨t, kt, t_open, ht⟩ : ∃ t, {q₀.1} ×ˢ k ⊆ t ∧ IsOpen t ∧ IsBounded (g' '' t) := by
have B : ContinuousOn g' (s ×ˢ univ) :=
hg.continuousOn_fderiv_of_isOpen (hs.prod isOpen_univ) le_rfl
apply exists_isOpen_isBounded_image_of_isCompact_of_continuousOn A (hs.prod isOpen_univ) _ B
simp only [prod_subset_prod_iff, hq₀, singleton_subset_iff, subset_univ, and_self_iff,
true_or]
obtain ⟨ε, εpos, hε, h'ε⟩ :
∃ ε : ℝ, 0 < ε ∧ thickening ε ({q₀.fst} ×ˢ k) ⊆ t ∧ ball q₀.1 ε ⊆ s := by
obtain ⟨ε, εpos, hε⟩ : ∃ ε : ℝ, 0 < ε ∧ thickening ε (({q₀.fst} : Set P) ×ˢ k) ⊆ t :=
A.exists_thickening_subset_open t_open kt
obtain ⟨δ, δpos, hδ⟩ : ∃ δ : ℝ, 0 < δ ∧ ball q₀.1 δ ⊆ s := Metric.isOpen_iff.1 hs _ hq₀
refine ⟨min ε δ, lt_min εpos δpos, ?_, ?_⟩
· exact Subset.trans (thickening_mono (min_le_left _ _) _) hε
· exact Subset.trans (ball_subset_ball (min_le_right _ _)) hδ
obtain ⟨C, Cpos, hC⟩ : ∃ C, 0 < C ∧ g' '' t ⊆ closedBall 0 C := ht.subset_closedBall_lt 0 0
refine ⟨ε, C, εpos, h'ε, fun p x hp => ?_⟩
have hps : p ∈ s := h'ε (mem_ball_iff_norm.2 hp)
by_cases hx : x ∈ k
· have H : (p, x) ∈ t := by
apply hε
refine mem_thickening_iff.2 ⟨(q₀.1, x), ?_, ?_⟩
· simp only [hx, singleton_prod, mem_image, Prod.mk_inj, eq_self_iff_true, true_and,
exists_eq_right]
· rw [← dist_eq_norm] at hp
simpa only [Prod.dist_eq, εpos, dist_self, max_lt_iff, and_true] using hp
have : g' (p, x) ∈ closedBall (0 : P × G →L[𝕜] E') C := hC (mem_image_of_mem _ H)
rwa [mem_closedBall_zero_iff] at this
· have : g' (p, x) = 0 := g'_zero _ _ hps hx
rw [this]
simpa only [norm_zero] using Cpos.le
/- Now, we wish to apply a theorem on differentiation of integrals. For this, we need to check
trivial measurability or integrability assumptions (in `I1`, `I2`, `I3`), as well as a uniform
integrability assumption over the derivative (in `I4` and `I5`) and pointwise differentiability
in `I6`. -/
have I1 :
∀ᶠ x : P × G in 𝓝 q₀, AEStronglyMeasurable (fun a : G => L (f a) (g x.1 (x.2 - a))) μ := by
filter_upwards [A' q₀ hq₀]
rintro ⟨p, x⟩ ⟨hp, -⟩
refine (HasCompactSupport.convolutionExists_right L ?_ hf (A _ hp) _).1
apply hk.of_isClosed_subset (isClosed_tsupport _)
exact closure_minimal (support_subset_iff'.2 fun z hz => hgs _ _ hp hz) hk.isClosed
have I2 : Integrable (fun a : G => L (f a) (g q₀.1 (q₀.2 - a))) μ := by
have M : HasCompactSupport (g q₀.1) := HasCompactSupport.intro hk fun x hx => hgs q₀.1 x hq₀ hx
apply M.convolutionExists_right L hf (A q₀.1 hq₀) q₀.2
have I3 : AEStronglyMeasurable (fun a : G => (L (f a)).comp (g' (q₀.fst, q₀.snd - a))) μ := by
have T : HasCompactSupport fun y => g' (q₀.1, y) :=
HasCompactSupport.intro hk fun x hx => g'_zero q₀.1 x hq₀ hx
apply (HasCompactSupport.convolutionExists_right (L.precompR (P × G) :) T hf _ q₀.2).1
have : ContinuousOn g' (s ×ˢ univ) :=
hg.continuousOn_fderiv_of_isOpen (hs.prod isOpen_univ) le_rfl
apply this.comp_continuous (.prodMk_right _)
intro x
simpa only [prodMk_mem_set_prod_eq, mem_univ, and_true] using hq₀
set K' := (-k + {q₀.2} : Set G) with K'_def
have hK' : IsCompact K' := hk.neg.add isCompact_singleton
obtain ⟨U, U_open, K'U, hU⟩ : ∃ U, IsOpen U ∧ K' ⊆ U ∧ IntegrableOn f U μ :=
hf.integrableOn_nhds_isCompact hK'
obtain ⟨δ, δpos, δε, hδ⟩ : ∃ δ, (0 : ℝ) < δ ∧ δ ≤ ε ∧ K' + ball 0 δ ⊆ U := by
obtain ⟨V, V_mem, hV⟩ : ∃ V ∈ 𝓝 (0 : G), K' + V ⊆ U :=
compact_open_separated_add_right hK' U_open K'U
rcases Metric.mem_nhds_iff.1 V_mem with ⟨δ, δpos, hδ⟩
refine ⟨min δ ε, lt_min δpos εpos, min_le_right δ ε, ?_⟩
exact (add_subset_add_left ((ball_subset_ball (min_le_left _ _)).trans hδ)).trans hV
letI := ContinuousLinearMap.hasOpNorm (𝕜 := 𝕜) (𝕜₂ := 𝕜) (E := E)
(F := (P × G →L[𝕜] E') →L[𝕜] P × G →L[𝕜] F) (σ₁₂ := RingHom.id 𝕜)
let bound : G → ℝ := indicator U fun t => ‖(L.precompR (P × G))‖ * ‖f t‖ * C
have I4 : ∀ᵐ a : G ∂μ, ∀ x : P × G, dist x q₀ < δ →
‖L.precompR (P × G) (f a) (g' (x.fst, x.snd - a))‖ ≤ bound a := by
filter_upwards with a x hx
rw [Prod.dist_eq, dist_eq_norm, dist_eq_norm] at hx
have : (-tsupport fun a => g' (x.1, a)) + ball q₀.2 δ ⊆ U := by
apply Subset.trans _ hδ
rw [K'_def, add_assoc]
apply add_subset_add
· rw [neg_subset_neg]
refine closure_minimal (support_subset_iff'.2 fun z hz => ?_) hk.isClosed
apply g'_zero x.1 z (h₀ε _) hz
rw [mem_ball_iff_norm]
exact ((le_max_left _ _).trans_lt hx).trans_le δε
· simp only [add_ball, thickening_singleton, zero_vadd, subset_rfl]
apply convolution_integrand_bound_right_of_le_of_subset _ _ _ this
· intro y
exact hε _ _ (((le_max_left _ _).trans_lt hx).trans_le δε)
· rw [mem_ball_iff_norm]
exact (le_max_right _ _).trans_lt hx
have I5 : Integrable bound μ := by
rw [integrable_indicator_iff U_open.measurableSet]
exact (hU.norm.const_mul _).mul_const _
have I6 : ∀ᵐ a : G ∂μ, ∀ x : P × G, dist x q₀ < δ →
HasFDerivAt (fun x : P × G => L (f a) (g x.1 (x.2 - a)))
((L (f a)).comp (g' (x.fst, x.snd - a))) x := by
filter_upwards with a x hx
apply (L _).hasFDerivAt.comp x
have N : s ×ˢ univ ∈ 𝓝 (x.1, x.2 - a) := by
apply A'
apply h₀ε
rw [Prod.dist_eq] at hx
exact lt_of_lt_of_le (lt_of_le_of_lt (le_max_left _ _) hx) δε
have Z := ((hg.differentiableOn le_rfl).differentiableAt N).hasFDerivAt
have Z' :
HasFDerivAt (fun x : P × G => (x.1, x.2 - a)) (ContinuousLinearMap.id 𝕜 (P × G)) x := by
have : (fun x : P × G => (x.1, x.2 - a)) = _root_.id - fun x => (0, a) := by
ext x <;> simp only [Pi.sub_apply, _root_.id, Prod.fst_sub, sub_zero, Prod.snd_sub]
rw [this]
exact (hasFDerivAt_id x).sub_const (0, a)
exact Z.comp x Z'
exact hasFDerivAt_integral_of_dominated_of_fderiv_le δpos I1 I2 I3 I4 I5 I6
/-- The convolution `f * g` is `C^n` when `f` is locally integrable and `g` is `C^n` and compactly
supported. Version where `g` depends on an additional parameter in an open subset `s` of a
parameter space `P` (and the compact support `k` is independent of the parameter in `s`).
In this version, all the types belong to the same universe (to get an induction working in the
proof). Use instead `contDiffOn_convolution_right_with_param`, which removes this restriction. -/
theorem contDiffOn_convolution_right_with_param_aux {G : Type uP} {E' : Type uP} {F : Type uP}
{P : Type uP} [NormedAddCommGroup E'] [NormedAddCommGroup F] [NormedSpace 𝕜 E']
[NormedSpace ℝ F] [NormedSpace 𝕜 F] [MeasurableSpace G]
{μ : Measure G}
[NormedAddCommGroup G] [BorelSpace G] [NormedSpace 𝕜 G] [NormedAddCommGroup P] [NormedSpace 𝕜 P]
{f : G → E} {n : ℕ∞} (L : E →L[𝕜] E' →L[𝕜] F) {g : P → G → E'} {s : Set P} {k : Set G}
(hs : IsOpen s) (hk : IsCompact k) (hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0)
(hf : LocallyIntegrable f μ) (hg : ContDiffOn 𝕜 n (↿g) (s ×ˢ univ)) :
ContDiffOn 𝕜 n (fun q : P × G => (f ⋆[L, μ] g q.1) q.2) (s ×ˢ univ) := by
/- We have a formula for the derivation of `f * g`, which is of the same form, thanks to
`hasFDerivAt_convolution_right_with_param`. Therefore, we can prove the result by induction on
`n` (but for this we need the spaces at the different steps of the induction to live in the same
universe, which is why we make the assumption in the lemma that all the relevant spaces
come from the same universe). -/
induction n using ENat.nat_induction generalizing g E' F with
| h0 =>
rw [WithTop.coe_zero, contDiffOn_zero] at hg ⊢
exact continuousOn_convolution_right_with_param L hk hgs hf hg
| hsuc n ih =>
simp only [Nat.succ_eq_add_one, Nat.cast_add, Nat.cast_one, WithTop.coe_add,
WithTop.coe_natCast, WithTop.coe_one] at hg ⊢
let f' : P → G → P × G →L[𝕜] F := fun p a =>
(f ⋆[L.precompR (P × G), μ] fun x : G => fderiv 𝕜 (uncurry g) (p, x)) a
have A : ∀ q₀ : P × G, q₀.1 ∈ s →
HasFDerivAt (fun q : P × G => (f ⋆[L, μ] g q.1) q.2) (f' q₀.1 q₀.2) q₀ :=
hasFDerivAt_convolution_right_with_param L hs hk hgs hf hg.one_of_succ
rw [contDiffOn_succ_iff_fderiv_of_isOpen (hs.prod (@isOpen_univ G _))] at hg ⊢
refine ⟨?_, by simp, ?_⟩
· rintro ⟨p, x⟩ ⟨hp, -⟩
exact (A (p, x) hp).differentiableAt.differentiableWithinAt
· suffices H : ContDiffOn 𝕜 n (↿f') (s ×ˢ univ) by
apply H.congr
rintro ⟨p, x⟩ ⟨hp, -⟩
exact (A (p, x) hp).fderiv
have B : ∀ (p : P) (x : G), p ∈ s → x ∉ k → fderiv 𝕜 (uncurry g) (p, x) = 0 := by
intro p x hp hx
apply (hasFDerivAt_zero_of_eventually_const (0 : E') _).fderiv
have M2 : kᶜ ∈ 𝓝 x := IsOpen.mem_nhds hk.isClosed.isOpen_compl hx
have M1 : s ∈ 𝓝 p := hs.mem_nhds hp
rw [nhds_prod_eq]
filter_upwards [prod_mem_prod M1 M2]
rintro ⟨p, y⟩ ⟨hp, hy⟩
exact hgs p y hp hy
apply ih (L.precompR (P × G) :) B
convert hg.2.2
| htop ih =>
rw [contDiffOn_infty] at hg ⊢
exact fun n ↦ ih n L hgs (hg n)
/-- The convolution `f * g` is `C^n` when `f` is locally integrable and `g` is `C^n` and compactly
supported. Version where `g` depends on an additional parameter in an open subset `s` of a
parameter space `P` (and the compact support `k` is independent of the parameter in `s`). -/
theorem contDiffOn_convolution_right_with_param {f : G → E} {n : ℕ∞} (L : E →L[𝕜] E' →L[𝕜] F)
{g : P → G → E'} {s : Set P} {k : Set G} (hs : IsOpen s) (hk : IsCompact k)
(hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0) (hf : LocallyIntegrable f μ)
(hg : ContDiffOn 𝕜 n (↿g) (s ×ˢ univ)) :
ContDiffOn 𝕜 n (fun q : P × G => (f ⋆[L, μ] g q.1) q.2) (s ×ˢ univ) := by
/- The result is known when all the universes are the same, from
`contDiffOn_convolution_right_with_param_aux`. We reduce to this situation by pushing
everything through `ULift` continuous linear equivalences. -/
let eG : Type max uG uE' uF uP := ULift.{max uE' uF uP} G
borelize eG
let eE' : Type max uE' uG uF uP := ULift.{max uG uF uP} E'
let eF : Type max uF uG uE' uP := ULift.{max uG uE' uP} F
let eP : Type max uP uG uE' uF := ULift.{max uG uE' uF} P
let isoG : eG ≃L[𝕜] G := ContinuousLinearEquiv.ulift
let isoE' : eE' ≃L[𝕜] E' := ContinuousLinearEquiv.ulift
let isoF : eF ≃L[𝕜] F := ContinuousLinearEquiv.ulift
let isoP : eP ≃L[𝕜] P := ContinuousLinearEquiv.ulift
let ef := f ∘ isoG
let eμ : Measure eG := Measure.map isoG.symm μ
let eg : eP → eG → eE' := fun ep ex => isoE'.symm (g (isoP ep) (isoG ex))
let eL :=
ContinuousLinearMap.comp
((ContinuousLinearEquiv.arrowCongr isoE' isoF).symm : (E' →L[𝕜] F) →L[𝕜] eE' →L[𝕜] eF) L
let R := fun q : eP × eG => (ef ⋆[eL, eμ] eg q.1) q.2
have R_contdiff : ContDiffOn 𝕜 n R ((isoP ⁻¹' s) ×ˢ univ) := by
have hek : IsCompact (isoG ⁻¹' k) := isoG.toHomeomorph.isClosedEmbedding.isCompact_preimage hk
have hes : IsOpen (isoP ⁻¹' s) := isoP.continuous.isOpen_preimage _ hs
refine contDiffOn_convolution_right_with_param_aux eL hes hek ?_ ?_ ?_
· intro p x hp hx
simp only [eg, (· ∘ ·), ContinuousLinearEquiv.prod_apply, LinearIsometryEquiv.coe_coe,
ContinuousLinearEquiv.map_eq_zero_iff]
exact hgs _ _ hp hx
· exact (locallyIntegrable_map_homeomorph isoG.symm.toHomeomorph).2 hf
· apply isoE'.symm.contDiff.comp_contDiffOn
apply hg.comp (isoP.prod isoG).contDiff.contDiffOn
rintro ⟨p, x⟩ ⟨hp, -⟩
simpa only [mem_preimage, ContinuousLinearEquiv.prod_apply, prodMk_mem_set_prod_eq, mem_univ,
and_true] using hp
have A : ContDiffOn 𝕜 n (isoF ∘ R ∘ (isoP.prod isoG).symm) (s ×ˢ univ) := by
apply isoF.contDiff.comp_contDiffOn
apply R_contdiff.comp (ContinuousLinearEquiv.contDiff _).contDiffOn
rintro ⟨p, x⟩ ⟨hp, -⟩
simpa only [mem_preimage, mem_prod, mem_univ, and_true, ContinuousLinearEquiv.prod_symm,
ContinuousLinearEquiv.prod_apply, ContinuousLinearEquiv.apply_symm_apply] using hp
have : isoF ∘ R ∘ (isoP.prod isoG).symm = fun q : P × G => (f ⋆[L, μ] g q.1) q.2 := by
apply funext
rintro ⟨p, x⟩
simp only [LinearIsometryEquiv.coe_coe, (· ∘ ·), ContinuousLinearEquiv.prod_symm,
ContinuousLinearEquiv.prod_apply]
simp only [R, convolution, coe_comp', ContinuousLinearEquiv.coe_coe, (· ∘ ·)]
rw [IsClosedEmbedding.integral_map, ← isoF.integral_comp_comm]
· rfl
· exact isoG.symm.toHomeomorph.isClosedEmbedding
simp_rw [this] at A
exact A
/-- The convolution `f * g` is `C^n` when `f` is locally integrable and `g` is `C^n` and compactly
supported. Version where `g` depends on an additional parameter in an open subset `s` of a
parameter space `P` (and the compact support `k` is independent of the parameter in `s`),
given in terms of composition with an additional `C^n` function. -/
theorem contDiffOn_convolution_right_with_param_comp {n : ℕ∞} (L : E →L[𝕜] E' →L[𝕜] F) {s : Set P}
{v : P → G} (hv : ContDiffOn 𝕜 n v s) {f : G → E} {g : P → G → E'} {k : Set G} (hs : IsOpen s)
(hk : IsCompact k) (hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0) (hf : LocallyIntegrable f μ)
(hg : ContDiffOn 𝕜 n (↿g) (s ×ˢ univ)) : ContDiffOn 𝕜 n (fun x => (f ⋆[L, μ] g x) (v x)) s := by
apply (contDiffOn_convolution_right_with_param L hs hk hgs hf hg).comp (contDiffOn_id.prodMk hv)
intro x hx
simp only [hx, mem_preimage, prodMk_mem_set_prod_eq, mem_univ, and_self_iff, _root_.id]
/-- The convolution `g * f` is `C^n` when `f` is locally integrable and `g` is `C^n` and compactly
supported. Version where `g` depends on an additional parameter in an open subset `s` of a
parameter space `P` (and the compact support `k` is independent of the parameter in `s`). -/
theorem contDiffOn_convolution_left_with_param [μ.IsAddLeftInvariant] [μ.IsNegInvariant]
(L : E' →L[𝕜] E →L[𝕜] F) {f : G → E} {n : ℕ∞} {g : P → G → E'} {s : Set P} {k : Set G}
(hs : IsOpen s) (hk : IsCompact k) (hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0)
(hf : LocallyIntegrable f μ) (hg : ContDiffOn 𝕜 n (↿g) (s ×ˢ univ)) :
ContDiffOn 𝕜 n (fun q : P × G => (g q.1 ⋆[L, μ] f) q.2) (s ×ˢ univ) := by
simpa only [convolution_flip] using contDiffOn_convolution_right_with_param L.flip hs hk hgs hf hg
/-- The convolution `g * f` is `C^n` when `f` is locally integrable and `g` is `C^n` and compactly
supported. Version where `g` depends on an additional parameter in an open subset `s` of a
parameter space `P` (and the compact support `k` is independent of the parameter in `s`),
given in terms of composition with additional `C^n` functions. -/
theorem contDiffOn_convolution_left_with_param_comp [μ.IsAddLeftInvariant] [μ.IsNegInvariant]
(L : E' →L[𝕜] E →L[𝕜] F) {s : Set P} {n : ℕ∞} {v : P → G} (hv : ContDiffOn 𝕜 n v s) {f : G → E}
{g : P → G → E'} {k : Set G} (hs : IsOpen s) (hk : IsCompact k)
(hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0) (hf : LocallyIntegrable f μ)
(hg : ContDiffOn 𝕜 n (↿g) (s ×ˢ univ)) : ContDiffOn 𝕜 n (fun x => (g x ⋆[L, μ] f) (v x)) s := by
apply (contDiffOn_convolution_left_with_param L hs hk hgs hf hg).comp (contDiffOn_id.prodMk hv)
intro x hx
simp only [hx, mem_preimage, prodMk_mem_set_prod_eq, mem_univ, and_self_iff, _root_.id]
theorem _root_.HasCompactSupport.contDiff_convolution_right {n : ℕ∞} (hcg : HasCompactSupport g)
(hf : LocallyIntegrable f μ) (hg : ContDiff 𝕜 n g) : ContDiff 𝕜 n (f ⋆[L, μ] g) := by
rcases exists_compact_iff_hasCompactSupport.2 hcg with ⟨k, hk, h'k⟩
rw [← contDiffOn_univ]
exact contDiffOn_convolution_right_with_param_comp L contDiffOn_id isOpen_univ hk
(fun p x _ hx => h'k x hx) hf (hg.comp contDiff_snd).contDiffOn
theorem _root_.HasCompactSupport.contDiff_convolution_left [μ.IsAddLeftInvariant] [μ.IsNegInvariant]
{n : ℕ∞} (hcf : HasCompactSupport f) (hf : ContDiff 𝕜 n f) (hg : LocallyIntegrable g μ) :
ContDiff 𝕜 n (f ⋆[L, μ] g) := by
rw [← convolution_flip]
exact hcf.contDiff_convolution_right L.flip hg hf
end WithParam
section Nonneg
variable [NormedSpace ℝ E] [NormedSpace ℝ E'] [NormedSpace ℝ F]
/-- The forward convolution of two functions `f` and `g` on `ℝ`, with respect to a continuous
bilinear map `L` and measure `ν`. It is defined to be the function mapping `x` to
`∫ t in 0..x, L (f t) (g (x - t)) ∂ν` if `0 < x`, and 0 otherwise. -/
noncomputable def posConvolution (f : ℝ → E) (g : ℝ → E') (L : E →L[ℝ] E' →L[ℝ] F)
(ν : Measure ℝ := by volume_tac) : ℝ → F :=
indicator (Ioi (0 : ℝ)) fun x => ∫ t in (0)..x, L (f t) (g (x - t)) ∂ν
theorem posConvolution_eq_convolution_indicator (f : ℝ → E) (g : ℝ → E') (L : E →L[ℝ] E' →L[ℝ] F)
(ν : Measure ℝ := by volume_tac) [NoAtoms ν] :
posConvolution f g L ν = convolution (indicator (Ioi 0) f) (indicator (Ioi 0) g) L ν := by
ext1 x
rw [convolution, posConvolution, indicator]
split_ifs with h
· rw [intervalIntegral.integral_of_le (le_of_lt h), integral_Ioc_eq_integral_Ioo, ←
integral_indicator (measurableSet_Ioo : MeasurableSet (Ioo 0 x))]
congr 1 with t : 1
have : t ≤ 0 ∨ t ∈ Ioo 0 x ∨ x ≤ t := by
rcases le_or_lt t 0 with (h | h)
· exact Or.inl h
· rcases lt_or_le t x with (h' | h')
exacts [Or.inr (Or.inl ⟨h, h'⟩), Or.inr (Or.inr h')]
rcases this with (ht | ht | ht)
· rw [indicator_of_not_mem (not_mem_Ioo_of_le ht), indicator_of_not_mem (not_mem_Ioi.mpr ht),
ContinuousLinearMap.map_zero, ContinuousLinearMap.zero_apply]
· rw [indicator_of_mem ht, indicator_of_mem (mem_Ioi.mpr ht.1),
indicator_of_mem (mem_Ioi.mpr <| sub_pos.mpr ht.2)]
· rw [indicator_of_not_mem (not_mem_Ioo_of_ge ht),
indicator_of_not_mem (not_mem_Ioi.mpr (sub_nonpos_of_le ht)),
ContinuousLinearMap.map_zero]
· convert (integral_zero ℝ F).symm with t
by_cases ht : 0 < t
· rw [indicator_of_not_mem (_ : x - t ∉ Ioi 0), ContinuousLinearMap.map_zero]
rw [not_mem_Ioi] at h ⊢
exact sub_nonpos.mpr (h.trans ht.le)
· rw [indicator_of_not_mem (mem_Ioi.not.mpr ht), ContinuousLinearMap.map_zero,
ContinuousLinearMap.zero_apply]
theorem integrable_posConvolution {f : ℝ → E} {g : ℝ → E'} {μ ν : Measure ℝ} [SFinite μ]
[SFinite ν] [IsAddRightInvariant μ] [NoAtoms ν] (hf : IntegrableOn f (Ioi 0) ν)
(hg : IntegrableOn g (Ioi 0) μ) (L : E →L[ℝ] E' →L[ℝ] F) :
Integrable (posConvolution f g L ν) μ := by
rw [← integrable_indicator_iff (measurableSet_Ioi : MeasurableSet (Ioi (0 : ℝ)))] at hf hg
rw [posConvolution_eq_convolution_indicator f g L ν]
exact (hf.convolution_integrand L hg).integral_prod_left
/-- The integral over `Ioi 0` of a forward convolution of two functions is equal to the product
of their integrals over this set. (Compare `integral_convolution` for the two-sided convolution.) -/
theorem integral_posConvolution [CompleteSpace E] [CompleteSpace E'] [CompleteSpace F]
{μ ν : Measure ℝ}
[SFinite μ] [SFinite ν] [IsAddRightInvariant μ] [NoAtoms ν] {f : ℝ → E} {g : ℝ → E'}
(hf : IntegrableOn f (Ioi 0) ν) (hg : IntegrableOn g (Ioi 0) μ) (L : E →L[ℝ] E' →L[ℝ] F) :
∫ x : ℝ in Ioi 0, ∫ t : ℝ in (0)..x, L (f t) (g (x - t)) ∂ν ∂μ =
L (∫ x : ℝ in Ioi 0, f x ∂ν) (∫ x : ℝ in Ioi 0, g x ∂μ) := by
rw [← integrable_indicator_iff measurableSet_Ioi] at hf hg
simp_rw [← integral_indicator measurableSet_Ioi]
convert integral_convolution L hf hg using 4 with x
apply posConvolution_eq_convolution_indicator
end Nonneg
end MeasureTheory
| Mathlib/Analysis/Convolution.lean | 1,410 | 1,414 | |
/-
Copyright (c) 2020 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Computability.Halting
import Mathlib.Computability.TuringMachine
import Mathlib.Data.Num.Lemmas
import Mathlib.Tactic.DeriveFintype
import Mathlib.Computability.TMConfig
/-!
# Modelling partial recursive functions using Turing machines
The files `TMConfig` and `TMToPartrec` define a simplified basis for partial recursive functions,
and a `Turing.TM2` model
Turing machine for evaluating these functions. This amounts to a constructive proof that every
`Partrec` function can be evaluated by a Turing machine.
## Main definitions
* `PartrecToTM2.tr`: A TM2 turing machine which can evaluate `code` programs
-/
open List (Vector)
open Function (update)
open Relation
namespace Turing
/-!
## Simulating sequentialized partial recursive functions in TM2
At this point we have a sequential model of partial recursive functions: the `Cfg` type and
`step : Cfg → Option Cfg` function from `TMConfig.lean`. The key feature of this model is that
it does a finite amount of computation (in fact, an amount which is statically bounded by the size
of the program) between each step, and no individual step can diverge (unlike the compositional
semantics, where every sub-part of the computation is potentially divergent). So we can utilize the
same techniques as in the other TM simulations in `Computability.TuringMachine` to prove that
each step corresponds to a finite number of steps in a lower level model. (We don't prove it here,
but in anticipation of the complexity class P, the simulation is actually polynomial-time as well.)
The target model is `Turing.TM2`, which has a fixed finite set of stacks, a bit of local storage,
with programs selected from a potentially infinite (but finitely accessible) set of program
positions, or labels `Λ`, each of which executes a finite sequence of basic stack commands.
For this program we will need four stacks, each on an alphabet `Γ'` like so:
inductive Γ' | consₗ | cons | bit0 | bit1
We represent a number as a bit sequence, lists of numbers by putting `cons` after each element, and
lists of lists of natural numbers by putting `consₗ` after each list. For example:
0 ~> []
1 ~> [bit1]
6 ~> [bit0, bit1, bit1]
[1, 2] ~> [bit1, cons, bit0, bit1, cons]
[[], [1, 2]] ~> [consₗ, bit1, cons, bit0, bit1, cons, consₗ]
The four stacks are `main`, `rev`, `aux`, `stack`. In normal mode, `main` contains the input to the
current program (a `List ℕ`) and `stack` contains data (a `List (List ℕ)`) associated to the
current continuation, and in `ret` mode `main` contains the value that is being passed to the
continuation and `stack` contains the data for the continuation. The `rev` and `aux` stacks are
usually empty; `rev` is used to store reversed data when e.g. moving a value from one stack to
another, while `aux` is used as a temporary for a `main`/`stack` swap that happens during `cons₁`
evaluation.
The only local store we need is `Option Γ'`, which stores the result of the last pop
operation. (Most of our working data are natural numbers, which are too large to fit in the local
store.)
The continuations from the previous section are data-carrying, containing all the values that have
been computed and are awaiting other arguments. In order to have only a finite number of
continuations appear in the program so that they can be used in machine states, we separate the
data part (anything with type `List ℕ`) from the `Cont` type, producing a `Cont'` type that lacks
this information. The data is kept on the `stack` stack.
Because we want to have subroutines for e.g. moving an entire stack to another place, we use an
infinite inductive type `Λ'` so that we can execute a program and then return to do something else
without having to define too many different kinds of intermediate states. (We must nevertheless
prove that only finitely many labels are accessible.) The labels are:
* `move p k₁ k₂ q`: move elements from stack `k₁` to `k₂` while `p` holds of the value being moved.
The last element, that fails `p`, is placed in neither stack but left in the local store.
At the end of the operation, `k₂` will have the elements of `k₁` in reverse order. Then do `q`.
* `clear p k q`: delete elements from stack `k` until `p` is true. Like `move`, the last element is
left in the local storage. Then do `q`.
* `copy q`: Move all elements from `rev` to both `main` and `stack` (in reverse order),
then do `q`. That is, it takes `(a, b, c, d)` to `(b.reverse ++ a, [], c, b.reverse ++ d)`.
* `push k f q`: push `f s`, where `s` is the local store, to stack `k`, then do `q`. This is a
duplicate of the `push` instruction that is part of the TM2 model, but by having a subroutine
just for this purpose we can build up programs to execute inside a `goto` statement, where we
have the flexibility to be general recursive.
* `read (f : Option Γ' → Λ')`: go to state `f s` where `s` is the local store. Again this is only
here for convenience.
* `succ q`: perform a successor operation. Assuming `[n]` is encoded on `main` before,
`[n+1]` will be on main after. This implements successor for binary natural numbers.
* `pred q₁ q₂`: perform a predecessor operation or `case` statement. If `[]` is encoded on
`main` before, then we transition to `q₁` with `[]` on main; if `(0 :: v)` is on `main` before
then `v` will be on `main` after and we transition to `q₁`; and if `(n+1 :: v)` is on `main`
before then `n :: v` will be on `main` after and we transition to `q₂`.
* `ret k`: call continuation `k`. Each continuation has its own interpretation of the data in
`stack` and sets up the data for the next continuation.
* `ret (cons₁ fs k)`: `v :: KData` on `stack` and `ns` on `main`, and the next step expects
`v` on `main` and `ns :: KData` on `stack`. So we have to do a little dance here with six
reverse-moves using the `aux` stack to perform a three-point swap, each of which involves two
reversals.
* `ret (cons₂ k)`: `ns :: KData` is on `stack` and `v` is on `main`, and we have to put
`ns.headI :: v` on `main` and `KData` on `stack`. This is done using the `head` subroutine.
* `ret (fix f k)`: This stores no data, so we just check if `main` starts with `0` and
if so, remove it and call `k`, otherwise `clear` the first value and call `f`.
* `ret halt`: the stack is empty, and `main` has the output. Do nothing and halt.
In addition to these basic states, we define some additional subroutines that are used in the
above:
* `push'`, `peek'`, `pop'` are special versions of the builtins that use the local store to supply
inputs and outputs.
* `unrev`: special case `move false rev main` to move everything from `rev` back to `main`. Used as
a cleanup operation in several functions.
* `moveExcl p k₁ k₂ q`: same as `move` but pushes the last value read back onto the source stack.
* `move₂ p k₁ k₂ q`: double `move`, so that the result comes out in the right order at the target
stack. Implemented as `moveExcl p k rev; move false rev k₂`. Assumes that neither `k₁` nor `k₂`
is `rev` and `rev` is initially empty.
* `head k q`: get the first natural number from stack `k` and reverse-move it to `rev`, then clear
the rest of the list at `k` and then `unrev` to reverse-move the head value to `main`. This is
used with `k = main` to implement regular `head`, i.e. if `v` is on `main` before then `[v.headI]`
will be on `main` after; and also with `k = stack` for the `cons` operation, which has `v` on
`main` and `ns :: KData` on `stack`, and results in `KData` on `stack` and `ns.headI :: v` on
`main`.
* `trNormal` is the main entry point, defining states that perform a given `code` computation.
It mostly just dispatches to functions written above.
The main theorem of this section is `tr_eval`, which asserts that for each that for each code `c`,
the state `init c v` steps to `halt v'` in finitely many steps if and only if
`Code.eval c v = some v'`.
-/
namespace PartrecToTM2
section
open ToPartrec
/-- The alphabet for the stacks in the program. `bit0` and `bit1` are used to represent `ℕ` values
as lists of binary digits, `cons` is used to separate `List ℕ` values, and `consₗ` is used to
separate `List (List ℕ)` values. See the section documentation. -/
inductive Γ'
| consₗ
| cons
| bit0
| bit1
deriving DecidableEq, Inhabited, Fintype
/-- The four stacks used by the program. `main` is used to store the input value in `trNormal`
mode and the output value in `Λ'.ret` mode, while `stack` is used to keep all the data for the
continuations. `rev` is used to store reversed lists when transferring values between stacks, and
`aux` is only used once in `cons₁`. See the section documentation. -/
inductive K'
| main
| rev
| aux
| stack
deriving DecidableEq, Inhabited
open K'
/-- Continuations as in `ToPartrec.Cont` but with the data removed. This is done because we want
the set of all continuations in the program to be finite (so that it can ultimately be encoded into
the finite state machine of a Turing machine), but a continuation can handle a potentially infinite
number of data values during execution. -/
inductive Cont'
| halt
| cons₁ : Code → Cont' → Cont'
| cons₂ : Cont' → Cont'
| comp : Code → Cont' → Cont'
| fix : Code → Cont' → Cont'
deriving DecidableEq, Inhabited
/-- The set of program positions. We make extensive use of inductive types here to let us describe
"subroutines"; for example `clear p k q` is a program that clears stack `k`, then does `q` where
`q` is another label. In order to prevent this from resulting in an infinite number of distinct
accessible states, we are careful to be non-recursive (although loops are okay). See the section
documentation for a description of all the programs. -/
inductive Λ'
| move (p : Γ' → Bool) (k₁ k₂ : K') (q : Λ')
| clear (p : Γ' → Bool) (k : K') (q : Λ')
| copy (q : Λ')
| push (k : K') (s : Option Γ' → Option Γ') (q : Λ')
| read (f : Option Γ' → Λ')
| succ (q : Λ')
| pred (q₁ q₂ : Λ')
| ret (k : Cont')
compile_inductive% Code
compile_inductive% Cont'
compile_inductive% K'
compile_inductive% Λ'
instance Λ'.instInhabited : Inhabited Λ' :=
⟨Λ'.ret Cont'.halt⟩
instance Λ'.instDecidableEq : DecidableEq Λ' := fun a b => by
induction a generalizing b <;> cases b <;> first
| apply Decidable.isFalse; rintro ⟨⟨⟩⟩; done
| exact decidable_of_iff' _ (by simp [funext_iff]; rfl)
/-- The type of TM2 statements used by this machine. -/
def Stmt' :=
TM2.Stmt (fun _ : K' => Γ') Λ' (Option Γ') deriving Inhabited
/-- The type of TM2 configurations used by this machine. -/
def Cfg' :=
TM2.Cfg (fun _ : K' => Γ') Λ' (Option Γ') deriving Inhabited
open TM2.Stmt
/-- A predicate that detects the end of a natural number, either `Γ'.cons` or `Γ'.consₗ` (or
implicitly the end of the list), for use in predicate-taking functions like `move` and `clear`. -/
@[simp]
def natEnd : Γ' → Bool
| Γ'.consₗ => true
| Γ'.cons => true
| _ => false
attribute [nolint simpNF] natEnd.eq_3
/-- Pop a value from the stack and place the result in local store. -/
@[simp]
def pop' (k : K') : Stmt' → Stmt' :=
pop k fun _ v => v
/-- Peek a value from the stack and place the result in local store. -/
@[simp]
def peek' (k : K') : Stmt' → Stmt' :=
peek k fun _ v => v
/-- Push the value in the local store to the given stack. -/
@[simp]
def push' (k : K') : Stmt' → Stmt' :=
push k fun x => x.iget
/-- Move everything from the `rev` stack to the `main` stack (reversed). -/
def unrev :=
Λ'.move (fun _ => false) rev main
/-- Move elements from `k₁` to `k₂` while `p` holds, with the last element being left on `k₁`. -/
def moveExcl (p k₁ k₂ q) :=
Λ'.move p k₁ k₂ <| Λ'.push k₁ id q
/-- Move elements from `k₁` to `k₂` without reversion, by performing a double move via the `rev`
stack. -/
def move₂ (p k₁ k₂ q) :=
moveExcl p k₁ rev <| Λ'.move (fun _ => false) rev k₂ q
/-- Assuming `trList v` is on the front of stack `k`, remove it, and push `v.headI` onto `main`.
See the section documentation. -/
def head (k : K') (q : Λ') : Λ' :=
Λ'.move natEnd k rev <|
(Λ'.push rev fun _ => some Γ'.cons) <|
Λ'.read fun s =>
(if s = some Γ'.consₗ then id else Λ'.clear (fun x => x = Γ'.consₗ) k) <| unrev q
/-- The program that evaluates code `c` with continuation `k`. This expects an initial state where
`trList v` is on `main`, `trContStack k` is on `stack`, and `aux` and `rev` are empty.
See the section documentation for details. -/
@[simp]
def trNormal : Code → Cont' → Λ'
| Code.zero', k => (Λ'.push main fun _ => some Γ'.cons) <| Λ'.ret k
| Code.succ, k => head main <| Λ'.succ <| Λ'.ret k
| Code.tail, k => Λ'.clear natEnd main <| Λ'.ret k
| Code.cons f fs, k =>
(Λ'.push stack fun _ => some Γ'.consₗ) <|
Λ'.move (fun _ => false) main rev <| Λ'.copy <| trNormal f (Cont'.cons₁ fs k)
| Code.comp f g, k => trNormal g (Cont'.comp f k)
| Code.case f g, k => Λ'.pred (trNormal f k) (trNormal g k)
| Code.fix f, k => trNormal f (Cont'.fix f k)
/-- The main program. See the section documentation for details. -/
def tr : Λ' → Stmt'
| Λ'.move p k₁ k₂ q =>
pop' k₁ <|
branch (fun s => s.elim true p) (goto fun _ => q)
(push' k₂ <| goto fun _ => Λ'.move p k₁ k₂ q)
| Λ'.push k f q =>
branch (fun s => (f s).isSome) ((push k fun s => (f s).iget) <| goto fun _ => q)
(goto fun _ => q)
| Λ'.read q => goto q
| Λ'.clear p k q =>
pop' k <| branch (fun s => s.elim true p) (goto fun _ => q) (goto fun _ => Λ'.clear p k q)
| Λ'.copy q =>
pop' rev <|
branch Option.isSome (push' main <| push' stack <| goto fun _ => Λ'.copy q) (goto fun _ => q)
| Λ'.succ q =>
pop' main <|
branch (fun s => s = some Γ'.bit1) ((push rev fun _ => Γ'.bit0) <| goto fun _ => Λ'.succ q) <|
branch (fun s => s = some Γ'.cons)
((push main fun _ => Γ'.cons) <| (push main fun _ => Γ'.bit1) <| goto fun _ => unrev q)
((push main fun _ => Γ'.bit1) <| goto fun _ => unrev q)
| Λ'.pred q₁ q₂ =>
pop' main <|
branch (fun s => s = some Γ'.bit0)
((push rev fun _ => Γ'.bit1) <| goto fun _ => Λ'.pred q₁ q₂) <|
branch (fun s => natEnd s.iget) (goto fun _ => q₁)
(peek' main <|
branch (fun s => natEnd s.iget) (goto fun _ => unrev q₂)
((push rev fun _ => Γ'.bit0) <| goto fun _ => unrev q₂))
| Λ'.ret (Cont'.cons₁ fs k) =>
goto fun _ =>
move₂ (fun _ => false) main aux <|
move₂ (fun s => s = Γ'.consₗ) stack main <|
move₂ (fun _ => false) aux stack <| trNormal fs (Cont'.cons₂ k)
| Λ'.ret (Cont'.cons₂ k) => goto fun _ => head stack <| Λ'.ret k
| Λ'.ret (Cont'.comp f k) => goto fun _ => trNormal f k
| Λ'.ret (Cont'.fix f k) =>
pop' main <|
goto fun s =>
cond (natEnd s.iget) (Λ'.ret k) <| Λ'.clear natEnd main <| trNormal f (Cont'.fix f k)
| Λ'.ret Cont'.halt => (load fun _ => none) <| halt
@[simp]
theorem tr_move (p k₁ k₂ q) : tr (Λ'.move p k₁ k₂ q) =
pop' k₁ (branch (fun s => s.elim true p) (goto fun _ => q)
(push' k₂ <| goto fun _ => Λ'.move p k₁ k₂ q)) := rfl
@[simp]
theorem tr_push (k f q) : tr (Λ'.push k f q) = branch (fun s => (f s).isSome)
((push k fun s => (f s).iget) <| goto fun _ => q) (goto fun _ => q) := rfl
@[simp]
theorem tr_read (q) : tr (Λ'.read q) = goto q := rfl
@[simp]
theorem tr_clear (p k q) : tr (Λ'.clear p k q) = pop' k (branch
(fun s => s.elim true p) (goto fun _ => q) (goto fun _ => Λ'.clear p k q)) := rfl
@[simp]
theorem tr_copy (q) : tr (Λ'.copy q) = pop' rev (branch Option.isSome
(push' main <| push' stack <| goto fun _ => Λ'.copy q) (goto fun _ => q)) := rfl
@[simp]
theorem tr_succ (q) : tr (Λ'.succ q) = pop' main (branch (fun s => s = some Γ'.bit1)
((push rev fun _ => Γ'.bit0) <| goto fun _ => Λ'.succ q) <|
branch (fun s => s = some Γ'.cons)
((push main fun _ => Γ'.cons) <| (push main fun _ => Γ'.bit1) <| goto fun _ => unrev q)
((push main fun _ => Γ'.bit1) <| goto fun _ => unrev q)) := rfl
@[simp]
theorem tr_pred (q₁ q₂) : tr (Λ'.pred q₁ q₂) = pop' main (branch (fun s => s = some Γ'.bit0)
((push rev fun _ => Γ'.bit1) <| goto fun _ => Λ'.pred q₁ q₂) <|
branch (fun s => natEnd s.iget) (goto fun _ => q₁)
(peek' main <|
branch (fun s => natEnd s.iget) (goto fun _ => unrev q₂)
((push rev fun _ => Γ'.bit0) <| goto fun _ => unrev q₂))) := rfl
@[simp]
theorem tr_ret_cons₁ (fs k) : tr (Λ'.ret (Cont'.cons₁ fs k)) = goto fun _ =>
move₂ (fun _ => false) main aux <|
move₂ (fun s => s = Γ'.consₗ) stack main <|
move₂ (fun _ => false) aux stack <| trNormal fs (Cont'.cons₂ k) := rfl
@[simp]
theorem tr_ret_cons₂ (k) : tr (Λ'.ret (Cont'.cons₂ k)) =
goto fun _ => head stack <| Λ'.ret k := rfl
@[simp]
theorem tr_ret_comp (f k) : tr (Λ'.ret (Cont'.comp f k)) = goto fun _ => trNormal f k := rfl
@[simp]
theorem tr_ret_fix (f k) : tr (Λ'.ret (Cont'.fix f k)) = pop' main (goto fun s =>
cond (natEnd s.iget) (Λ'.ret k) <| Λ'.clear natEnd main <| trNormal f (Cont'.fix f k)) := rfl
@[simp]
theorem tr_ret_halt : tr (Λ'.ret Cont'.halt) = (load fun _ => none) halt := rfl
/-- Translating a `Cont` continuation to a `Cont'` continuation simply entails dropping all the
data. This data is instead encoded in `trContStack` in the configuration. -/
def trCont : Cont → Cont'
| Cont.halt => Cont'.halt
| Cont.cons₁ c _ k => Cont'.cons₁ c (trCont k)
| Cont.cons₂ _ k => Cont'.cons₂ (trCont k)
| Cont.comp c k => Cont'.comp c (trCont k)
| Cont.fix c k => Cont'.fix c (trCont k)
/-- We use `PosNum` to define the translation of binary natural numbers. A natural number is
represented as a little-endian list of `bit0` and `bit1` elements:
1 = [bit1]
2 = [bit0, bit1]
3 = [bit1, bit1]
4 = [bit0, bit0, bit1]
In particular, this representation guarantees no trailing `bit0`'s at the end of the list. -/
def trPosNum : PosNum → List Γ'
| PosNum.one => [Γ'.bit1]
| PosNum.bit0 n => Γ'.bit0 :: trPosNum n
| PosNum.bit1 n => Γ'.bit1 :: trPosNum n
/-- We use `Num` to define the translation of binary natural numbers. Positive numbers are
translated using `trPosNum`, and `trNum 0 = []`. So there are never any trailing `bit0`'s in
a translated `Num`.
0 = []
1 = [bit1]
2 = [bit0, bit1]
3 = [bit1, bit1]
4 = [bit0, bit0, bit1]
-/
def trNum : Num → List Γ'
| Num.zero => []
| Num.pos n => trPosNum n
/-- Because we use binary encoding, we define `trNat` in terms of `trNum`, using `Num`, which are
binary natural numbers. (We could also use `Nat.binaryRecOn`, but `Num` and `PosNum` make for
easy inductions.) -/
def trNat (n : ℕ) : List Γ' :=
trNum n
@[simp]
theorem trNat_zero : trNat 0 = [] := by rw [trNat, Nat.cast_zero]; rfl
theorem trNat_default : trNat default = [] :=
trNat_zero
/-- Lists are translated with a `cons` after each encoded number.
For example:
[] = []
[0] = [cons]
[1] = [bit1, cons]
[6, 0] = [bit0, bit1, bit1, cons, cons]
-/
@[simp]
def trList : List ℕ → List Γ'
| [] => []
| n::ns => trNat n ++ Γ'.cons :: trList ns
/-- Lists of lists are translated with a `consₗ` after each encoded list.
For example:
[] = []
[[]] = [consₗ]
[[], []] = [consₗ, consₗ]
[[0]] = [cons, consₗ]
[[1, 2], [0]] = [bit1, cons, bit0, bit1, cons, consₗ, cons, consₗ]
-/
@[simp]
def trLList : List (List ℕ) → List Γ'
| [] => []
| l::ls => trList l ++ Γ'.consₗ :: trLList ls
/-- The data part of a continuation is a list of lists, which is encoded on the `stack` stack
using `trLList`. -/
@[simp]
def contStack : Cont → List (List ℕ)
| Cont.halt => []
| Cont.cons₁ _ ns k => ns :: contStack k
| Cont.cons₂ ns k => ns :: contStack k
| Cont.comp _ k => contStack k
| Cont.fix _ k => contStack k
/-- The data part of a continuation is a list of lists, which is encoded on the `stack` stack
using `trLList`. -/
def trContStack (k : Cont) :=
trLList (contStack k)
/-- This is the nondependent eliminator for `K'`, but we use it specifically here in order to
represent the stack data as four lists rather than as a function `K' → List Γ'`, because this makes
rewrites easier. The theorems `K'.elim_update_main` et. al. show how such a function is updated
after an `update` to one of the components. -/
def K'.elim (a b c d : List Γ') : K' → List Γ'
| K'.main => a
| K'.rev => b
| K'.aux => c
| K'.stack => d
-- The equation lemma of `elim` simplifies to `match` structures.
theorem K'.elim_main (a b c d) : K'.elim a b c d K'.main = a := rfl
theorem K'.elim_rev (a b c d) : K'.elim a b c d K'.rev = b := rfl
theorem K'.elim_aux (a b c d) : K'.elim a b c d K'.aux = c := rfl
theorem K'.elim_stack (a b c d) : K'.elim a b c d K'.stack = d := rfl
attribute [simp] K'.elim
@[simp]
theorem K'.elim_update_main {a b c d a'} : update (K'.elim a b c d) main a' = K'.elim a' b c d := by
funext x; cases x <;> rfl
@[simp]
theorem K'.elim_update_rev {a b c d b'} : update (K'.elim a b c d) rev b' = K'.elim a b' c d := by
funext x; cases x <;> rfl
@[simp]
theorem K'.elim_update_aux {a b c d c'} : update (K'.elim a b c d) aux c' = K'.elim a b c' d := by
funext x; cases x <;> rfl
@[simp]
theorem K'.elim_update_stack {a b c d d'} :
update (K'.elim a b c d) stack d' = K'.elim a b c d' := by funext x; cases x <;> rfl
/-- The halting state corresponding to a `List ℕ` output value. -/
def halt (v : List ℕ) : Cfg' :=
⟨none, none, K'.elim (trList v) [] [] []⟩
/-- The `Cfg` states map to `Cfg'` states almost one to one, except that in normal operation the
local store contains an arbitrary garbage value. To make the final theorem cleaner we explicitly
clear it in the halt state so that there is exactly one configuration corresponding to output `v`.
-/
def TrCfg : Cfg → Cfg' → Prop
| Cfg.ret k v, c' =>
∃ s, c' = ⟨some (Λ'.ret (trCont k)), s, K'.elim (trList v) [] [] (trContStack k)⟩
| Cfg.halt v, c' => c' = halt v
/-- This could be a general list definition, but it is also somewhat specialized to this
application. `splitAtPred p L` will search `L` for the first element satisfying `p`.
If it is found, say `L = l₁ ++ a :: l₂` where `a` satisfies `p` but `l₁` does not, then it returns
`(l₁, some a, l₂)`. Otherwise, if there is no such element, it returns `(L, none, [])`. -/
def splitAtPred {α} (p : α → Bool) : List α → List α × Option α × List α
| [] => ([], none, [])
| a :: as =>
cond (p a) ([], some a, as) <|
let ⟨l₁, o, l₂⟩ := splitAtPred p as
⟨a::l₁, o, l₂⟩
theorem splitAtPred_eq {α} (p : α → Bool) :
∀ L l₁ o l₂,
(∀ x ∈ l₁, p x = false) →
Option.elim' (L = l₁ ∧ l₂ = []) (fun a => p a = true ∧ L = l₁ ++ a::l₂) o →
splitAtPred p L = (l₁, o, l₂)
| [], _, none, _, _, ⟨rfl, rfl⟩ => rfl
| [], l₁, some o, l₂, _, ⟨_, h₃⟩ => by simp at h₃
| a :: L, l₁, o, l₂, h₁, h₂ => by
rw [splitAtPred]
have IH := splitAtPred_eq p L
rcases o with - | o
· rcases l₁ with - | ⟨a', l₁⟩ <;> rcases h₂ with ⟨⟨⟩, rfl⟩
rw [h₁ a (List.Mem.head _), cond, IH L none [] _ ⟨rfl, rfl⟩]
exact fun x h => h₁ x (List.Mem.tail _ h)
· rcases l₁ with - | ⟨a', l₁⟩ <;> rcases h₂ with ⟨h₂, ⟨⟩⟩
· rw [h₂, cond]
rw [h₁ a (List.Mem.head _), cond, IH l₁ (some o) l₂ _ ⟨h₂, _⟩] <;> try rfl
exact fun x h => h₁ x (List.Mem.tail _ h)
theorem splitAtPred_false {α} (L : List α) : splitAtPred (fun _ => false) L = (L, none, []) :=
splitAtPred_eq _ _ _ _ _ (fun _ _ => rfl) ⟨rfl, rfl⟩
theorem move_ok {p k₁ k₂ q s L₁ o L₂} {S : K' → List Γ'} (h₁ : k₁ ≠ k₂)
(e : splitAtPred p (S k₁) = (L₁, o, L₂)) :
Reaches₁ (TM2.step tr) ⟨some (Λ'.move p k₁ k₂ q), s, S⟩
⟨some q, o, update (update S k₁ L₂) k₂ (L₁.reverseAux (S k₂))⟩ := by
induction' L₁ with a L₁ IH generalizing S s
· rw [(_ : [].reverseAux _ = _), Function.update_eq_self]
swap
· rw [Function.update_of_ne h₁.symm, List.reverseAux_nil]
refine TransGen.head' rfl ?_
rw [tr]; simp only [pop', TM2.stepAux]
revert e; rcases S k₁ with - | ⟨a, Sk⟩ <;> intro e
· cases e
rfl
simp only [splitAtPred, Option.elim, List.head?, List.tail_cons, Option.iget_some] at e ⊢
revert e; cases p a <;> intro e <;>
simp only [cond_false, cond_true, Prod.mk.injEq, true_and, false_and, reduceCtorEq] at e ⊢
simp only [e]
rfl
· refine TransGen.head rfl ?_
rw [tr]; simp only [pop', Option.elim, TM2.stepAux, push']
rcases e₁ : S k₁ with - | ⟨a', Sk⟩ <;> rw [e₁, splitAtPred] at e
· cases e
cases e₂ : p a' <;> simp only [e₂, cond] at e
swap
· cases e
rcases e₃ : splitAtPred p Sk with ⟨_, _, _⟩
rw [e₃] at e
cases e
simp only [List.head?_cons, e₂, List.tail_cons, ne_eq, cond_false]
convert @IH _ (update (update S k₁ Sk) k₂ (a :: S k₂)) _ using 2 <;>
simp [Function.update_of_ne, h₁, h₁.symm, e₃, List.reverseAux]
simp [Function.update_comm h₁.symm]
theorem unrev_ok {q s} {S : K' → List Γ'} :
Reaches₁ (TM2.step tr) ⟨some (unrev q), s, S⟩
⟨some q, none, update (update S rev []) main (List.reverseAux (S rev) (S main))⟩ :=
move_ok (by decide) <| splitAtPred_false _
theorem move₂_ok {p k₁ k₂ q s L₁ o L₂} {S : K' → List Γ'} (h₁ : k₁ ≠ rev ∧ k₂ ≠ rev ∧ k₁ ≠ k₂)
(h₂ : S rev = []) (e : splitAtPred p (S k₁) = (L₁, o, L₂)) :
Reaches₁ (TM2.step tr) ⟨some (move₂ p k₁ k₂ q), s, S⟩
⟨some q, none, update (update S k₁ (o.elim id List.cons L₂)) k₂ (L₁ ++ S k₂)⟩ := by
refine (move_ok h₁.1 e).trans (TransGen.head rfl ?_)
simp only [TM2.step, Option.mem_def, TM2.stepAux, id_eq, ne_eq, Option.elim]
cases o <;> simp only [Option.elim] <;> rw [tr]
<;> simp only [id, TM2.stepAux, Option.isSome, cond_true, cond_false]
· convert move_ok h₁.2.1.symm (splitAtPred_false _) using 2
simp only [Function.update_comm h₁.1, Function.update_idem]
rw [show update S rev [] = S by rw [← h₂, Function.update_eq_self]]
simp only [Function.update_of_ne h₁.2.2.symm, Function.update_of_ne h₁.2.1,
Function.update_of_ne h₁.1.symm, List.reverseAux_eq, h₂, Function.update_self,
List.append_nil, List.reverse_reverse]
· convert move_ok h₁.2.1.symm (splitAtPred_false _) using 2
simp only [h₂, Function.update_comm h₁.1, List.reverseAux_eq, Function.update_self,
List.append_nil, Function.update_idem]
rw [show update S rev [] = S by rw [← h₂, Function.update_eq_self]]
simp only [Function.update_of_ne h₁.1.symm, Function.update_of_ne h₁.2.2.symm,
Function.update_of_ne h₁.2.1, Function.update_self, List.reverse_reverse]
theorem clear_ok {p k q s L₁ o L₂} {S : K' → List Γ'} (e : splitAtPred p (S k) = (L₁, o, L₂)) :
Reaches₁ (TM2.step tr) ⟨some (Λ'.clear p k q), s, S⟩ ⟨some q, o, update S k L₂⟩ := by
induction' L₁ with a L₁ IH generalizing S s
· refine TransGen.head' rfl ?_
rw [tr]; simp only [pop', TM2.step, Option.mem_def, TM2.stepAux, Option.elim]
revert e; rcases S k with - | ⟨a, Sk⟩ <;> intro e
· cases e
rfl
simp only [splitAtPred, Option.elim, List.head?, List.tail_cons] at e ⊢
revert e; cases p a <;> intro e <;>
simp only [cond_false, cond_true, Prod.mk.injEq, true_and, false_and, reduceCtorEq] at e ⊢
rcases e with ⟨e₁, e₂⟩
rw [e₁, e₂]
· refine TransGen.head rfl ?_
rw [tr]; simp only [pop', TM2.step, Option.mem_def, TM2.stepAux, Option.elim]
rcases e₁ : S k with - | ⟨a', Sk⟩ <;> rw [e₁, splitAtPred] at e
· cases e
cases e₂ : p a' <;> simp only [e₂, cond] at e
swap
· cases e
rcases e₃ : splitAtPred p Sk with ⟨_, _, _⟩
rw [e₃] at e
cases e
simp only [List.head?_cons, e₂, List.tail_cons, cond_false]
convert @IH _ (update S k Sk) _ using 2 <;> simp [e₃]
theorem copy_ok (q s a b c d) :
Reaches₁ (TM2.step tr) ⟨some (Λ'.copy q), s, K'.elim a b c d⟩
⟨some q, none, K'.elim (List.reverseAux b a) [] c (List.reverseAux b d)⟩ := by
induction' b with x b IH generalizing a d s
· refine TransGen.single ?_
simp
refine TransGen.head rfl ?_
rw [tr]
simp only [TM2.step, Option.mem_def, TM2.stepAux, elim_rev, List.head?_cons, Option.isSome_some,
List.tail_cons, elim_update_rev, ne_eq, Function.update_of_ne, elim_main, elim_update_main,
elim_stack, elim_update_stack, cond_true, List.reverseAux_cons, pop', push']
exact IH _ _ _
theorem trPosNum_natEnd : ∀ (n), ∀ x ∈ trPosNum n, natEnd x = false
| PosNum.one, _, List.Mem.head _ => rfl
| PosNum.bit0 _, _, List.Mem.head _ => rfl
| PosNum.bit0 n, _, List.Mem.tail _ h => trPosNum_natEnd n _ h
| PosNum.bit1 _, _, List.Mem.head _ => rfl
| PosNum.bit1 n, _, List.Mem.tail _ h => trPosNum_natEnd n _ h
theorem trNum_natEnd : ∀ (n), ∀ x ∈ trNum n, natEnd x = false
| Num.pos n, x, h => trPosNum_natEnd n x h
theorem trNat_natEnd (n) : ∀ x ∈ trNat n, natEnd x = false :=
trNum_natEnd _
theorem trList_ne_consₗ : ∀ (l), ∀ x ∈ trList l, x ≠ Γ'.consₗ
| a :: l, x, h => by
simp only [trList, List.mem_append, List.mem_cons] at h
obtain h | rfl | h := h
· rintro rfl
cases trNat_natEnd _ _ h
· rintro ⟨⟩
· exact trList_ne_consₗ l _ h
theorem head_main_ok {q s L} {c d : List Γ'} :
Reaches₁ (TM2.step tr) ⟨some (head main q), s, K'.elim (trList L) [] c d⟩
⟨some q, none, K'.elim (trList [L.headI]) [] c d⟩ := by
let o : Option Γ' := List.casesOn L none fun _ _ => some Γ'.cons
refine
(move_ok (by decide)
(splitAtPred_eq _ _ (trNat L.headI) o (trList L.tail) (trNat_natEnd _) ?_)).trans
(TransGen.head rfl (TransGen.head rfl ?_))
· cases L <;> simp [o]
rw [tr]
simp only [TM2.step, Option.mem_def, TM2.stepAux, elim_update_main, elim_rev, elim_update_rev,
Function.update_self, trList]
rw [if_neg (show o ≠ some Γ'.consₗ by cases L <;> simp [o])]
refine (clear_ok (splitAtPred_eq _ _ _ none [] ?_ ⟨rfl, rfl⟩)).trans ?_
· exact fun x h => Bool.decide_false (trList_ne_consₗ _ _ h)
convert unrev_ok using 2; simp [List.reverseAux_eq]
theorem head_stack_ok {q s L₁ L₂ L₃} :
Reaches₁ (TM2.step tr)
⟨some (head stack q), s, K'.elim (trList L₁) [] [] (trList L₂ ++ Γ'.consₗ :: L₃)⟩
⟨some q, none, K'.elim (trList (L₂.headI :: L₁)) [] [] L₃⟩ := by
rcases L₂ with - | ⟨a, L₂⟩
· refine
| TransGen.trans
(move_ok (by decide)
(splitAtPred_eq _ _ [] (some Γ'.consₗ) L₃ (by rintro _ ⟨⟩) ⟨rfl, rfl⟩))
(TransGen.head rfl (TransGen.head rfl ?_))
rw [tr]
simp only [TM2.step, Option.mem_def, TM2.stepAux, ite_true, id_eq, trList, List.nil_append,
elim_update_stack, elim_rev, List.reverseAux_nil, elim_update_rev, Function.update_self,
List.headI_nil, trNat_default]
convert unrev_ok using 2
simp
· refine
TransGen.trans
(move_ok (by decide)
(splitAtPred_eq _ _ (trNat a) (some Γ'.cons) (trList L₂ ++ Γ'.consₗ :: L₃)
(trNat_natEnd _) ⟨rfl, by simp⟩))
(TransGen.head rfl (TransGen.head rfl ?_))
simp only [TM2.step, Option.mem_def, TM2.stepAux, ite_false, trList, List.append_assoc,
List.cons_append, elim_update_stack, elim_rev, elim_update_rev, Function.update_self,
List.headI_cons]
refine
TransGen.trans
| Mathlib/Computability/TMToPartrec.lean | 699 | 719 |
/-
Copyright (c) 2015, 2017 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Robert Y. Lewis, Johannes Hölzl, Mario Carneiro, Sébastien Gouëzel
-/
import Mathlib.Topology.Order.Compact
import Mathlib.Topology.MetricSpace.ProperSpace
import Mathlib.Topology.MetricSpace.Cauchy
import Mathlib.Topology.EMetricSpace.Diam
/-!
## Boundedness in (pseudo)-metric spaces
This file contains one definition, and various results on boundedness in pseudo-metric spaces.
* `Metric.diam s` : The `iSup` of the distances of members of `s`.
Defined in terms of `EMetric.diam`, for better handling of the case when it should be infinite.
* `isBounded_iff_subset_closedBall`: a non-empty set is bounded if and only if
it is included in some closed ball
* describing the cobounded filter, relating to the cocompact filter
* `IsCompact.isBounded`: compact sets are bounded
* `TotallyBounded.isBounded`: totally bounded sets are bounded
* `isCompact_iff_isClosed_bounded`, the **Heine–Borel theorem**:
in a proper space, a set is compact if and only if it is closed and bounded.
* `cobounded_eq_cocompact`: in a proper space, cobounded and compact sets are the same
diameter of a subset, and its relation to boundedness
## Tags
metric, pseudo_metric, bounded, diameter, Heine-Borel theorem
-/
assert_not_exists Basis
open Set Filter Bornology
open scoped ENNReal Uniformity Topology Pointwise
universe u v w
variable {α : Type u} {β : Type v} {X ι : Type*}
variable [PseudoMetricSpace α]
namespace Metric
section Bounded
variable {x : α} {s t : Set α} {r : ℝ}
/-- Closed balls are bounded -/
theorem isBounded_closedBall : IsBounded (closedBall x r) :=
isBounded_iff.2 ⟨r + r, fun y hy z hz =>
calc dist y z ≤ dist y x + dist z x := dist_triangle_right _ _ _
_ ≤ r + r := add_le_add hy hz⟩
/-- Open balls are bounded -/
theorem isBounded_ball : IsBounded (ball x r) :=
isBounded_closedBall.subset ball_subset_closedBall
/-- Spheres are bounded -/
theorem isBounded_sphere : IsBounded (sphere x r) :=
isBounded_closedBall.subset sphere_subset_closedBall
/-- Given a point, a bounded subset is included in some ball around this point -/
theorem isBounded_iff_subset_closedBall (c : α) : IsBounded s ↔ ∃ r, s ⊆ closedBall c r :=
⟨fun h ↦ (isBounded_iff.1 (h.insert c)).imp fun _r hr _x hx ↦ hr (.inr hx) (mem_insert _ _),
fun ⟨_r, hr⟩ ↦ isBounded_closedBall.subset hr⟩
theorem _root_.Bornology.IsBounded.subset_closedBall (h : IsBounded s) (c : α) :
∃ r, s ⊆ closedBall c r :=
(isBounded_iff_subset_closedBall c).1 h
theorem _root_.Bornology.IsBounded.subset_ball_lt (h : IsBounded s) (a : ℝ) (c : α) :
∃ r, a < r ∧ s ⊆ ball c r :=
let ⟨r, hr⟩ := h.subset_closedBall c
⟨max r a + 1, (le_max_right _ _).trans_lt (lt_add_one _), hr.trans <| closedBall_subset_ball <|
(le_max_left _ _).trans_lt (lt_add_one _)⟩
theorem _root_.Bornology.IsBounded.subset_ball (h : IsBounded s) (c : α) : ∃ r, s ⊆ ball c r :=
(h.subset_ball_lt 0 c).imp fun _ ↦ And.right
theorem isBounded_iff_subset_ball (c : α) : IsBounded s ↔ ∃ r, s ⊆ ball c r :=
⟨(IsBounded.subset_ball · c), fun ⟨_r, hr⟩ ↦ isBounded_ball.subset hr⟩
theorem _root_.Bornology.IsBounded.subset_closedBall_lt (h : IsBounded s) (a : ℝ) (c : α) :
∃ r, a < r ∧ s ⊆ closedBall c r :=
let ⟨r, har, hr⟩ := h.subset_ball_lt a c
⟨r, har, hr.trans ball_subset_closedBall⟩
theorem isBounded_closure_of_isBounded (h : IsBounded s) : IsBounded (closure s) :=
let ⟨C, h⟩ := isBounded_iff.1 h
isBounded_iff.2 ⟨C, fun _a ha _b hb => isClosed_Iic.closure_subset <|
map_mem_closure₂ continuous_dist ha hb h⟩
protected theorem _root_.Bornology.IsBounded.closure (h : IsBounded s) : IsBounded (closure s) :=
isBounded_closure_of_isBounded h
@[simp]
theorem isBounded_closure_iff : IsBounded (closure s) ↔ IsBounded s :=
⟨fun h => h.subset subset_closure, fun h => h.closure⟩
theorem hasBasis_cobounded_compl_closedBall (c : α) :
(cobounded α).HasBasis (fun _ ↦ True) (fun r ↦ (closedBall c r)ᶜ) :=
⟨compl_surjective.forall.2 fun _ ↦ (isBounded_iff_subset_closedBall c).trans <| by simp⟩
theorem hasAntitoneBasis_cobounded_compl_closedBall (c : α) :
(cobounded α).HasAntitoneBasis (fun r ↦ (closedBall c r)ᶜ) :=
⟨Metric.hasBasis_cobounded_compl_closedBall _, fun _ _ hr _ ↦ by simpa using hr.trans_lt⟩
theorem hasBasis_cobounded_compl_ball (c : α) :
(cobounded α).HasBasis (fun _ ↦ True) (fun r ↦ (ball c r)ᶜ) :=
⟨compl_surjective.forall.2 fun _ ↦ (isBounded_iff_subset_ball c).trans <| by simp⟩
theorem hasAntitoneBasis_cobounded_compl_ball (c : α) :
(cobounded α).HasAntitoneBasis (fun r ↦ (ball c r)ᶜ) :=
⟨Metric.hasBasis_cobounded_compl_ball _, fun _ _ hr _ ↦ by simpa using hr.trans⟩
@[simp]
theorem comap_dist_right_atTop (c : α) : comap (dist · c) atTop = cobounded α :=
(atTop_basis.comap _).eq_of_same_basis <| by
simpa only [compl_def, mem_ball, not_lt] using hasBasis_cobounded_compl_ball c
@[simp]
theorem comap_dist_left_atTop (c : α) : comap (dist c) atTop = cobounded α := by
simpa only [dist_comm _ c] using comap_dist_right_atTop c
@[simp]
theorem tendsto_dist_right_atTop_iff (c : α) {f : β → α} {l : Filter β} :
Tendsto (fun x ↦ dist (f x) c) l atTop ↔ Tendsto f l (cobounded α) := by
rw [← comap_dist_right_atTop c, tendsto_comap_iff, Function.comp_def]
@[simp]
theorem tendsto_dist_left_atTop_iff (c : α) {f : β → α} {l : Filter β} :
Tendsto (fun x ↦ dist c (f x)) l atTop ↔ Tendsto f l (cobounded α) := by
simp only [dist_comm c, tendsto_dist_right_atTop_iff]
theorem tendsto_dist_right_cobounded_atTop (c : α) : Tendsto (dist · c) (cobounded α) atTop :=
tendsto_iff_comap.2 (comap_dist_right_atTop c).ge
theorem tendsto_dist_left_cobounded_atTop (c : α) : Tendsto (dist c) (cobounded α) atTop :=
tendsto_iff_comap.2 (comap_dist_left_atTop c).ge
/-- A totally bounded set is bounded -/
theorem _root_.TotallyBounded.isBounded {s : Set α} (h : TotallyBounded s) : IsBounded s :=
-- We cover the totally bounded set by finitely many balls of radius 1,
-- and then argue that a finite union of bounded sets is bounded
let ⟨_t, fint, subs⟩ := (totallyBounded_iff.mp h) 1 zero_lt_one
((isBounded_biUnion fint).2 fun _ _ => isBounded_ball).subset subs
/-- A compact set is bounded -/
theorem _root_.IsCompact.isBounded {s : Set α} (h : IsCompact s) : IsBounded s :=
-- A compact set is totally bounded, thus bounded
h.totallyBounded.isBounded
theorem cobounded_le_cocompact : cobounded α ≤ cocompact α :=
hasBasis_cocompact.ge_iff.2 fun _s hs ↦ hs.isBounded
theorem isCobounded_iff_closedBall_compl_subset {s : Set α} (c : α) :
IsCobounded s ↔ ∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s := by
rw [← isBounded_compl_iff, isBounded_iff_subset_closedBall c]
apply exists_congr
intro r
rw [compl_subset_comm]
theorem _root_.Bornology.IsCobounded.closedBall_compl_subset {s : Set α} (hs : IsCobounded s)
(c : α) : ∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s :=
(isCobounded_iff_closedBall_compl_subset c).mp hs
theorem closedBall_compl_subset_of_mem_cocompact {s : Set α} (hs : s ∈ cocompact α) (c : α) :
∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s :=
IsCobounded.closedBall_compl_subset (cobounded_le_cocompact hs) c
theorem mem_cocompact_of_closedBall_compl_subset [ProperSpace α] (c : α)
(h : ∃ r, (closedBall c r)ᶜ ⊆ s) : s ∈ cocompact α := by
rcases h with ⟨r, h⟩
rw [Filter.mem_cocompact]
exact ⟨closedBall c r, isCompact_closedBall c r, h⟩
theorem mem_cocompact_iff_closedBall_compl_subset [ProperSpace α] (c : α) :
s ∈ cocompact α ↔ ∃ r, (closedBall c r)ᶜ ⊆ s :=
⟨(closedBall_compl_subset_of_mem_cocompact · _), mem_cocompact_of_closedBall_compl_subset _⟩
/-- Characterization of the boundedness of the range of a function -/
theorem isBounded_range_iff {f : β → α} : IsBounded (range f) ↔ ∃ C, ∀ x y, dist (f x) (f y) ≤ C :=
isBounded_iff.trans <| by simp only [forall_mem_range]
theorem isBounded_image_iff {f : β → α} {s : Set β} :
IsBounded (f '' s) ↔ ∃ C, ∀ x ∈ s, ∀ y ∈ s, dist (f x) (f y) ≤ C :=
isBounded_iff.trans <| by simp only [forall_mem_image]
theorem isBounded_range_of_tendsto_cofinite_uniformity {f : β → α}
(hf : Tendsto (Prod.map f f) (.cofinite ×ˢ .cofinite) (𝓤 α)) : IsBounded (range f) := by
rcases (hasBasis_cofinite.prod_self.tendsto_iff uniformity_basis_dist).1 hf 1 zero_lt_one with
⟨s, hsf, hs1⟩
rw [← image_union_image_compl_eq_range]
refine (hsf.image f).isBounded.union (isBounded_image_iff.2 ⟨1, fun x hx y hy ↦ ?_⟩)
exact le_of_lt (hs1 (x, y) ⟨hx, hy⟩)
theorem isBounded_range_of_cauchy_map_cofinite {f : β → α} (hf : Cauchy (map f cofinite)) :
IsBounded (range f) :=
isBounded_range_of_tendsto_cofinite_uniformity <| (cauchy_map_iff.1 hf).2
|
theorem _root_.CauchySeq.isBounded_range {f : ℕ → α} (hf : CauchySeq f) : IsBounded (range f) :=
| Mathlib/Topology/MetricSpace/Bounded.lean | 201 | 202 |
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Iterate
import Mathlib.Order.SemiconjSup
import Mathlib.Topology.Order.MonotoneContinuity
import Mathlib.Algebra.CharP.Defs
/-!
# Translation number of a monotone real map that commutes with `x ↦ x + 1`
Let `f : ℝ → ℝ` be a monotone map such that `f (x + 1) = f x + 1` for all `x`. Then the limit
$$
\tau(f)=\lim_{n\to\infty}{f^n(x)-x}{n}
$$
exists and does not depend on `x`. This number is called the *translation number* of `f`.
Different authors use different notation for this number: `τ`, `ρ`, `rot`, etc
In this file we define a structure `CircleDeg1Lift` for bundled maps with these properties, define
translation number of `f : CircleDeg1Lift`, prove some estimates relating `f^n(x)-x` to `τ(f)`. In
case of a continuous map `f` we also prove that `f` admits a point `x` such that `f^n(x)=x+m` if and
only if `τ(f)=m/n`.
Maps of this type naturally appear as lifts of orientation preserving circle homeomorphisms. More
precisely, let `f` be an orientation preserving homeomorphism of the circle $S^1=ℝ/ℤ$, and
consider a real number `a` such that
`⟦a⟧ = f 0`, where `⟦⟧` means the natural projection `ℝ → ℝ/ℤ`. Then there exists a unique
continuous function `F : ℝ → ℝ` such that `F 0 = a` and `⟦F x⟧ = f ⟦x⟧` for all `x` (this fact is
not formalized yet). This function is strictly monotone, continuous, and satisfies
`F (x + 1) = F x + 1`. The number `⟦τ F⟧ : ℝ / ℤ` is called the *rotation number* of `f`.
It does not depend on the choice of `a`.
## Main definitions
* `CircleDeg1Lift`: a monotone map `f : ℝ → ℝ` such that `f (x + 1) = f x + 1` for all `x`;
the type `CircleDeg1Lift` is equipped with `Lattice` and `Monoid` structures; the
multiplication is given by composition: `(f * g) x = f (g x)`.
* `CircleDeg1Lift.translationNumber`: translation number of `f : CircleDeg1Lift`.
## Main statements
We prove the following properties of `CircleDeg1Lift.translationNumber`.
* `CircleDeg1Lift.translationNumber_eq_of_dist_bounded`: if the distance between `(f^n) 0`
and `(g^n) 0` is bounded from above uniformly in `n : ℕ`, then `f` and `g` have equal
translation numbers.
* `CircleDeg1Lift.translationNumber_eq_of_semiconjBy`: if two `CircleDeg1Lift` maps `f`, `g`
are semiconjugate by a `CircleDeg1Lift` map, then `τ f = τ g`.
* `CircleDeg1Lift.translationNumber_units_inv`: if `f` is an invertible `CircleDeg1Lift` map
(equivalently, `f` is a lift of an orientation-preserving circle homeomorphism), then
the translation number of `f⁻¹` is the negative of the translation number of `f`.
* `CircleDeg1Lift.translationNumber_mul_of_commute`: if `f` and `g` commute, then
`τ (f * g) = τ f + τ g`.
* `CircleDeg1Lift.translationNumber_eq_rat_iff`: the translation number of `f` is equal to
a rational number `m / n` if and only if `(f^n) x = x + m` for some `x`.
* `CircleDeg1Lift.semiconj_of_bijective_of_translationNumber_eq`: if `f` and `g` are two
bijective `CircleDeg1Lift` maps and their translation numbers are equal, then these
maps are semiconjugate to each other.
* `CircleDeg1Lift.semiconj_of_group_action_of_forall_translationNumber_eq`: let `f₁` and `f₂` be
two actions of a group `G` on the circle by degree 1 maps (formally, `f₁` and `f₂` are two
homomorphisms from `G →* CircleDeg1Lift`). If the translation numbers of `f₁ g` and `f₂ g` are
equal to each other for all `g : G`, then these two actions are semiconjugate by some
`F : CircleDeg1Lift`. This is a version of Proposition 5.4 from [Étienne Ghys, Groupes
d'homeomorphismes du cercle et cohomologie bornee][ghys87:groupes].
## Notation
We use a local notation `τ` for the translation number of `f : CircleDeg1Lift`.
## Implementation notes
We define the translation number of `f : CircleDeg1Lift` to be the limit of the sequence
`(f ^ (2 ^ n)) 0 / (2 ^ n)`, then prove that `((f ^ n) x - x) / n` tends to this number for any `x`.
This way it is much easier to prove that the limit exists and basic properties of the limit.
We define translation number for a wider class of maps `f : ℝ → ℝ` instead of lifts of orientation
preserving circle homeomorphisms for two reasons:
* non-strictly monotone circle self-maps with discontinuities naturally appear as Poincaré maps
for some flows on the two-torus (e.g., one can take a constant flow and glue in a few Cherry
cells);
* definition and some basic properties still work for this class.
## References
* [Étienne Ghys, Groupes d'homeomorphismes du cercle et cohomologie bornee][ghys87:groupes]
## TODO
Here are some short-term goals.
* Introduce a structure or a typeclass for lifts of circle homeomorphisms. We use
`Units CircleDeg1Lift` for now, but it's better to have a dedicated type (or a typeclass?).
* Prove that the `SemiconjBy` relation on circle homeomorphisms is an equivalence relation.
* Introduce `ConditionallyCompleteLattice` structure, use it in the proof of
`CircleDeg1Lift.semiconj_of_group_action_of_forall_translationNumber_eq`.
* Prove that the orbits of the irrational rotation are dense in the circle. Deduce that a
homeomorphism with an irrational rotation is semiconjugate to the corresponding irrational
translation by a continuous `CircleDeg1Lift`.
## Tags
circle homeomorphism, rotation number
-/
open Filter Set Int Topology
open Function hiding Commute
/-!
### Definition and monoid structure
-/
/-- A lift of a monotone degree one map `S¹ → S¹`. -/
structure CircleDeg1Lift : Type extends ℝ →o ℝ where
map_add_one' : ∀ x, toFun (x + 1) = toFun x + 1
namespace CircleDeg1Lift
instance : FunLike CircleDeg1Lift ℝ ℝ where
coe f := f.toFun
coe_injective' | ⟨⟨_, _⟩, _⟩, ⟨⟨_, _⟩, _⟩, rfl => rfl
instance : OrderHomClass CircleDeg1Lift ℝ ℝ where
map_rel f _ _ h := f.monotone' h
@[simp] theorem coe_mk (f h) : ⇑(mk f h) = f := rfl
variable (f g : CircleDeg1Lift)
@[simp] theorem coe_toOrderHom : ⇑f.toOrderHom = f := rfl
protected theorem monotone : Monotone f := f.monotone'
@[mono] theorem mono {x y} (h : x ≤ y) : f x ≤ f y := f.monotone h
theorem strictMono_iff_injective : StrictMono f ↔ Injective f :=
f.monotone.strictMono_iff_injective
@[simp]
theorem map_add_one : ∀ x, f (x + 1) = f x + 1 :=
f.map_add_one'
@[simp]
theorem map_one_add (x : ℝ) : f (1 + x) = 1 + f x := by rw [add_comm, map_add_one, add_comm 1]
@[ext]
theorem ext ⦃f g : CircleDeg1Lift⦄ (h : ∀ x, f x = g x) : f = g :=
DFunLike.ext f g h
instance : Monoid CircleDeg1Lift where
mul f g :=
{ toOrderHom := f.1.comp g.1
map_add_one' := fun x => by simp [map_add_one] }
one := ⟨.id, fun _ => rfl⟩
mul_one _ := rfl
one_mul _ := rfl
mul_assoc _ _ _ := DFunLike.coe_injective rfl
instance : Inhabited CircleDeg1Lift := ⟨1⟩
@[simp]
theorem coe_mul : ⇑(f * g) = f ∘ g :=
rfl
theorem mul_apply (x) : (f * g) x = f (g x) :=
rfl
@[simp]
theorem coe_one : ⇑(1 : CircleDeg1Lift) = id :=
rfl
instance unitsHasCoeToFun : CoeFun CircleDeg1Liftˣ fun _ => ℝ → ℝ :=
⟨fun f => ⇑(f : CircleDeg1Lift)⟩
@[simp]
theorem units_inv_apply_apply (f : CircleDeg1Liftˣ) (x : ℝ) :
(f⁻¹ : CircleDeg1Liftˣ) (f x) = x := by simp only [← mul_apply, f.inv_mul, coe_one, id]
@[simp]
theorem units_apply_inv_apply (f : CircleDeg1Liftˣ) (x : ℝ) :
f ((f⁻¹ : CircleDeg1Liftˣ) x) = x := by simp only [← mul_apply, f.mul_inv, coe_one, id]
/-- If a lift of a circle map is bijective, then it is an order automorphism of the line. -/
def toOrderIso : CircleDeg1Liftˣ →* ℝ ≃o ℝ where
toFun f :=
{ toFun := f
invFun := ⇑f⁻¹
left_inv := units_inv_apply_apply f
right_inv := units_apply_inv_apply f
map_rel_iff' := ⟨fun h => by simpa using mono (↑f⁻¹) h, mono f⟩ }
map_one' := rfl
map_mul' _ _ := rfl
@[simp]
theorem coe_toOrderIso (f : CircleDeg1Liftˣ) : ⇑(toOrderIso f) = f :=
rfl
@[simp]
theorem coe_toOrderIso_symm (f : CircleDeg1Liftˣ) :
⇑(toOrderIso f).symm = (f⁻¹ : CircleDeg1Liftˣ) :=
rfl
@[simp]
theorem coe_toOrderIso_inv (f : CircleDeg1Liftˣ) : ⇑(toOrderIso f)⁻¹ = (f⁻¹ : CircleDeg1Liftˣ) :=
rfl
theorem isUnit_iff_bijective {f : CircleDeg1Lift} : IsUnit f ↔ Bijective f :=
⟨fun ⟨u, h⟩ => h ▸ (toOrderIso u).bijective, fun h =>
Units.isUnit
{ val := f
inv :=
{ toFun := (Equiv.ofBijective f h).symm
monotone' := fun x y hxy =>
(f.strictMono_iff_injective.2 h.1).le_iff_le.1
(by simp only [Equiv.ofBijective_apply_symm_apply f h, hxy])
map_add_one' := fun x =>
h.1 <| by simp only [Equiv.ofBijective_apply_symm_apply f, f.map_add_one] }
val_inv := ext <| Equiv.ofBijective_apply_symm_apply f h
inv_val := ext <| Equiv.ofBijective_symm_apply_apply f h }⟩
theorem coe_pow : ∀ n : ℕ, ⇑(f ^ n) = f^[n]
| 0 => rfl
| n + 1 => by
ext x
simp [coe_pow n, pow_succ]
theorem semiconjBy_iff_semiconj {f g₁ g₂ : CircleDeg1Lift} :
SemiconjBy f g₁ g₂ ↔ Semiconj f g₁ g₂ :=
CircleDeg1Lift.ext_iff
theorem commute_iff_commute {f g : CircleDeg1Lift} : Commute f g ↔ Function.Commute f g :=
CircleDeg1Lift.ext_iff
/-!
### Translate by a constant
-/
/-- The map `y ↦ x + y` as a `CircleDeg1Lift`. More precisely, we define a homomorphism from
`Multiplicative ℝ` to `CircleDeg1Liftˣ`, so the translation by `x` is
`translation (Multiplicative.ofAdd x)`. -/
def translate : Multiplicative ℝ →* CircleDeg1Liftˣ := MonoidHom.toHomUnits <|
{ toFun := fun x =>
⟨⟨fun y => x.toAdd + y, fun _ _ h => add_le_add_left h _⟩, fun _ =>
(add_assoc _ _ _).symm⟩
map_one' := ext <| zero_add
map_mul' := fun _ _ => ext <| add_assoc _ _ }
@[simp]
theorem translate_apply (x y : ℝ) : translate (Multiplicative.ofAdd x) y = x + y :=
rfl
@[simp]
theorem translate_inv_apply (x y : ℝ) : (translate <| Multiplicative.ofAdd x)⁻¹ y = -x + y :=
rfl
@[simp]
theorem translate_zpow (x : ℝ) (n : ℤ) :
translate (Multiplicative.ofAdd x) ^ n = translate (Multiplicative.ofAdd <| ↑n * x) := by
simp only [← zsmul_eq_mul, ofAdd_zsmul, MonoidHom.map_zpow]
@[simp]
theorem translate_pow (x : ℝ) (n : ℕ) :
translate (Multiplicative.ofAdd x) ^ n = translate (Multiplicative.ofAdd <| ↑n * x) :=
translate_zpow x n
@[simp]
theorem translate_iterate (x : ℝ) (n : ℕ) :
(translate (Multiplicative.ofAdd x))^[n] = translate (Multiplicative.ofAdd <| ↑n * x) := by
rw [← coe_pow, ← Units.val_pow_eq_pow_val, translate_pow]
/-!
### Commutativity with integer translations
In this section we prove that `f` commutes with translations by an integer number.
First we formulate these statements (for a natural or an integer number,
addition on the left or on the right, addition or subtraction) using `Function.Commute`,
then reformulate as `simp` lemmas `map_int_add` etc.
-/
theorem commute_nat_add (n : ℕ) : Function.Commute f (n + ·) := by
simpa only [nsmul_one, add_left_iterate] using Function.Commute.iterate_right f.map_one_add n
theorem commute_add_nat (n : ℕ) : Function.Commute f (· + n) := by
simp only [add_comm _ (n : ℝ), f.commute_nat_add n]
theorem commute_sub_nat (n : ℕ) : Function.Commute f (· - n) := by
simpa only [sub_eq_add_neg] using
(f.commute_add_nat n).inverses_right (Equiv.addRight _).right_inv (Equiv.addRight _).left_inv
theorem commute_add_int : ∀ n : ℤ, Function.Commute f (· + n)
| (n : ℕ) => f.commute_add_nat n
| -[n+1] => by simpa [sub_eq_add_neg] using f.commute_sub_nat (n + 1)
theorem commute_int_add (n : ℤ) : Function.Commute f (n + ·) := by
simpa only [add_comm _ (n : ℝ)] using f.commute_add_int n
theorem commute_sub_int (n : ℤ) : Function.Commute f (· - n) := by
simpa only [sub_eq_add_neg] using
(f.commute_add_int n).inverses_right (Equiv.addRight _).right_inv (Equiv.addRight _).left_inv
@[simp]
theorem map_int_add (m : ℤ) (x : ℝ) : f (m + x) = m + f x :=
f.commute_int_add m x
@[simp]
theorem map_add_int (x : ℝ) (m : ℤ) : f (x + m) = f x + m :=
f.commute_add_int m x
@[simp]
theorem map_sub_int (x : ℝ) (n : ℤ) : f (x - n) = f x - n :=
f.commute_sub_int n x
@[simp]
theorem map_add_nat (x : ℝ) (n : ℕ) : f (x + n) = f x + n :=
f.map_add_int x n
@[simp]
theorem map_nat_add (n : ℕ) (x : ℝ) : f (n + x) = n + f x :=
f.map_int_add n x
@[simp]
theorem map_sub_nat (x : ℝ) (n : ℕ) : f (x - n) = f x - n :=
f.map_sub_int x n
theorem map_int_of_map_zero (n : ℤ) : f n = f 0 + n := by rw [← f.map_add_int, zero_add]
@[simp]
theorem map_fract_sub_fract_eq (x : ℝ) : f (fract x) - fract x = f x - x := by
rw [Int.fract, f.map_sub_int, sub_sub_sub_cancel_right]
/-!
### Pointwise order on circle maps
-/
/-- Monotone circle maps form a lattice with respect to the pointwise order -/
noncomputable instance : Lattice CircleDeg1Lift where
sup f g :=
{ toFun := fun x => max (f x) (g x)
monotone' := fun _ _ h => max_le_max (f.mono h) (g.mono h)
-- TODO: generalize to `Monotone.max`
map_add_one' := fun x => by simp [max_add_add_right] }
le f g := ∀ x, f x ≤ g x
le_refl f x := le_refl (f x)
le_trans _ _ _ h₁₂ h₂₃ x := le_trans (h₁₂ x) (h₂₃ x)
le_antisymm _ _ h₁₂ h₂₁ := ext fun x => le_antisymm (h₁₂ x) (h₂₁ x)
le_sup_left f g x := le_max_left (f x) (g x)
le_sup_right f g x := le_max_right (f x) (g x)
sup_le _ _ _ h₁ h₂ x := max_le (h₁ x) (h₂ x)
inf f g :=
{ toFun := fun x => min (f x) (g x)
monotone' := fun _ _ h => min_le_min (f.mono h) (g.mono h)
map_add_one' := fun x => by simp [min_add_add_right] }
inf_le_left f g x := min_le_left (f x) (g x)
inf_le_right f g x := min_le_right (f x) (g x)
le_inf _ _ _ h₂ h₃ x := le_min (h₂ x) (h₃ x)
@[simp]
theorem sup_apply (x : ℝ) : (f ⊔ g) x = max (f x) (g x) :=
rfl
@[simp]
theorem inf_apply (x : ℝ) : (f ⊓ g) x = min (f x) (g x) :=
rfl
theorem iterate_monotone (n : ℕ) : Monotone fun f : CircleDeg1Lift => f^[n] := fun f _ h =>
f.monotone.iterate_le_of_le h _
theorem iterate_mono {f g : CircleDeg1Lift} (h : f ≤ g) (n : ℕ) : f^[n] ≤ g^[n] :=
iterate_monotone n h
theorem pow_mono {f g : CircleDeg1Lift} (h : f ≤ g) (n : ℕ) : f ^ n ≤ g ^ n := fun x => by
simp only [coe_pow, iterate_mono h n x]
theorem pow_monotone (n : ℕ) : Monotone fun f : CircleDeg1Lift => f ^ n := fun _ _ h => pow_mono h n
/-!
### Estimates on `(f * g) 0`
We prove the estimates `f 0 + ⌊g 0⌋ ≤ f (g 0) ≤ f 0 + ⌈g 0⌉` and some corollaries with added/removed
floors and ceils.
We also prove that for two semiconjugate maps `g₁`, `g₂`, the distance between `g₁ 0` and `g₂ 0`
is less than two.
-/
theorem map_le_of_map_zero (x : ℝ) : f x ≤ f 0 + ⌈x⌉ :=
calc
f x ≤ f ⌈x⌉ := f.monotone <| le_ceil _
_ = f 0 + ⌈x⌉ := f.map_int_of_map_zero _
theorem map_map_zero_le : f (g 0) ≤ f 0 + ⌈g 0⌉ :=
f.map_le_of_map_zero (g 0)
theorem floor_map_map_zero_le : ⌊f (g 0)⌋ ≤ ⌊f 0⌋ + ⌈g 0⌉ :=
calc
⌊f (g 0)⌋ ≤ ⌊f 0 + ⌈g 0⌉⌋ := floor_mono <| f.map_map_zero_le g
_ = ⌊f 0⌋ + ⌈g 0⌉ := floor_add_intCast _ _
theorem ceil_map_map_zero_le : ⌈f (g 0)⌉ ≤ ⌈f 0⌉ + ⌈g 0⌉ :=
calc
⌈f (g 0)⌉ ≤ ⌈f 0 + ⌈g 0⌉⌉ := ceil_mono <| f.map_map_zero_le g
_ = ⌈f 0⌉ + ⌈g 0⌉ := ceil_add_intCast _ _
theorem map_map_zero_lt : f (g 0) < f 0 + g 0 + 1 :=
calc
f (g 0) ≤ f 0 + ⌈g 0⌉ := f.map_map_zero_le g
_ < f 0 + (g 0 + 1) := add_lt_add_left (ceil_lt_add_one _) _
_ = f 0 + g 0 + 1 := (add_assoc _ _ _).symm
theorem le_map_of_map_zero (x : ℝ) : f 0 + ⌊x⌋ ≤ f x :=
calc
f 0 + ⌊x⌋ = f ⌊x⌋ := (f.map_int_of_map_zero _).symm
_ ≤ f x := f.monotone <| floor_le _
theorem le_map_map_zero : f 0 + ⌊g 0⌋ ≤ f (g 0) :=
f.le_map_of_map_zero (g 0)
theorem le_floor_map_map_zero : ⌊f 0⌋ + ⌊g 0⌋ ≤ ⌊f (g 0)⌋ :=
calc
⌊f 0⌋ + ⌊g 0⌋ = ⌊f 0 + ⌊g 0⌋⌋ := (floor_add_intCast _ _).symm
_ ≤ ⌊f (g 0)⌋ := floor_mono <| f.le_map_map_zero g
theorem le_ceil_map_map_zero : ⌈f 0⌉ + ⌊g 0⌋ ≤ ⌈(f * g) 0⌉ :=
calc
⌈f 0⌉ + ⌊g 0⌋ = ⌈f 0 + ⌊g 0⌋⌉ := (ceil_add_intCast _ _).symm
_ ≤ ⌈f (g 0)⌉ := ceil_mono <| f.le_map_map_zero g
theorem lt_map_map_zero : f 0 + g 0 - 1 < f (g 0) :=
calc
f 0 + g 0 - 1 = f 0 + (g 0 - 1) := add_sub_assoc _ _ _
_ < f 0 + ⌊g 0⌋ := add_lt_add_left (sub_one_lt_floor _) _
_ ≤ f (g 0) := f.le_map_map_zero g
theorem dist_map_map_zero_lt : dist (f 0 + g 0) (f (g 0)) < 1 := by
rw [dist_comm, Real.dist_eq, abs_lt, lt_sub_iff_add_lt', sub_lt_iff_lt_add', ← sub_eq_add_neg]
exact ⟨f.lt_map_map_zero g, f.map_map_zero_lt g⟩
theorem dist_map_zero_lt_of_semiconj {f g₁ g₂ : CircleDeg1Lift} (h : Function.Semiconj f g₁ g₂) :
dist (g₁ 0) (g₂ 0) < 2 :=
calc
dist (g₁ 0) (g₂ 0) ≤ dist (g₁ 0) (f (g₁ 0) - f 0) + dist _ (g₂ 0) := dist_triangle _ _ _
_ = dist (f 0 + g₁ 0) (f (g₁ 0)) + dist (g₂ 0 + f 0) (g₂ (f 0)) := by
simp only [h.eq, Real.dist_eq, sub_sub, add_comm (f 0), sub_sub_eq_add_sub,
abs_sub_comm (g₂ (f 0))]
_ < 1 + 1 := add_lt_add (f.dist_map_map_zero_lt g₁) (g₂.dist_map_map_zero_lt f)
_ = 2 := one_add_one_eq_two
theorem dist_map_zero_lt_of_semiconjBy {f g₁ g₂ : CircleDeg1Lift} (h : SemiconjBy f g₁ g₂) :
dist (g₁ 0) (g₂ 0) < 2 :=
dist_map_zero_lt_of_semiconj <| semiconjBy_iff_semiconj.1 h
/-!
### Limits at infinities and continuity
-/
protected theorem tendsto_atBot : Tendsto f atBot atBot :=
tendsto_atBot_mono f.map_le_of_map_zero <| tendsto_atBot_add_const_left _ _ <|
(tendsto_atBot_mono fun x => (ceil_lt_add_one x).le) <|
tendsto_atBot_add_const_right _ _ tendsto_id
protected theorem tendsto_atTop : Tendsto f atTop atTop :=
tendsto_atTop_mono f.le_map_of_map_zero <| tendsto_atTop_add_const_left _ _ <|
(tendsto_atTop_mono fun x => (sub_one_lt_floor x).le) <| by
simpa [sub_eq_add_neg] using tendsto_atTop_add_const_right _ _ tendsto_id
theorem continuous_iff_surjective : Continuous f ↔ Function.Surjective f :=
⟨fun h => h.surjective f.tendsto_atTop f.tendsto_atBot, f.monotone.continuous_of_surjective⟩
/-!
### Estimates on `(f^n) x`
If we know that `f x` is `≤`/`<`/`≥`/`>`/`=` to `x + m`, then we have a similar estimate on
`f^[n] x` and `x + n * m`.
For `≤`, `≥`, and `=` we formulate both `of` (implication) and `iff` versions because implications
work for `n = 0`. For `<` and `>` we formulate only `iff` versions.
-/
theorem iterate_le_of_map_le_add_int {x : ℝ} {m : ℤ} (h : f x ≤ x + m) (n : ℕ) :
f^[n] x ≤ x + n * m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_le_of_map_le f.monotone (monotone_id.add_const (m : ℝ)) h n
theorem le_iterate_of_add_int_le_map {x : ℝ} {m : ℤ} (h : x + m ≤ f x) (n : ℕ) :
x + n * m ≤ f^[n] x := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).symm.iterate_le_of_map_le (monotone_id.add_const (m : ℝ)) f.monotone h n
theorem iterate_eq_of_map_eq_add_int {x : ℝ} {m : ℤ} (h : f x = x + m) (n : ℕ) :
f^[n] x = x + n * m := by
simpa only [nsmul_eq_mul, add_right_iterate] using (f.commute_add_int m).iterate_eq_of_map_eq n h
theorem iterate_pos_le_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x ≤ x + n * m ↔ f x ≤ x + m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_pos_le_iff_map_le f.monotone (strictMono_id.add_const (m : ℝ)) hn
theorem iterate_pos_lt_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x < x + n * m ↔ f x < x + m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_pos_lt_iff_map_lt f.monotone (strictMono_id.add_const (m : ℝ)) hn
theorem iterate_pos_eq_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x = x + n * m ↔ f x = x + m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_pos_eq_iff_map_eq f.monotone (strictMono_id.add_const (m : ℝ)) hn
theorem le_iterate_pos_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
x + n * m ≤ f^[n] x ↔ x + m ≤ f x := by
simpa only [not_lt] using not_congr (f.iterate_pos_lt_iff hn)
theorem lt_iterate_pos_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
x + n * m < f^[n] x ↔ x + m < f x := by
simpa only [not_le] using not_congr (f.iterate_pos_le_iff hn)
theorem mul_floor_map_zero_le_floor_iterate_zero (n : ℕ) : ↑n * ⌊f 0⌋ ≤ ⌊f^[n] 0⌋ := by
rw [le_floor, Int.cast_mul, Int.cast_natCast, ← zero_add ((n : ℝ) * _)]
apply le_iterate_of_add_int_le_map
simp [floor_le]
/-!
### Definition of translation number
-/
noncomputable section
/-- An auxiliary sequence used to define the translation number. -/
def transnumAuxSeq (n : ℕ) : ℝ :=
(f ^ (2 ^ n : ℕ)) 0 / 2 ^ n
/-- The translation number of a `CircleDeg1Lift`, $τ(f)=\lim_{n→∞}\frac{f^n(x)-x}{n}$. We use
an auxiliary sequence `\frac{f^{2^n}(0)}{2^n}` to define `τ(f)` because some proofs are simpler
this way. -/
def translationNumber : ℝ :=
limUnder atTop f.transnumAuxSeq
end
-- TODO: choose two different symbols for `CircleDeg1Lift.translationNumber` and the future
-- `circle_mono_homeo.rotation_number`, then make them `localized notation`s
local notation "τ" => translationNumber
theorem transnumAuxSeq_def : f.transnumAuxSeq = fun n : ℕ => (f ^ (2 ^ n : ℕ)) 0 / 2 ^ n :=
rfl
theorem translationNumber_eq_of_tendsto_aux {τ' : ℝ} (h : Tendsto f.transnumAuxSeq atTop (𝓝 τ')) :
τ f = τ' :=
h.limUnder_eq
theorem translationNumber_eq_of_tendsto₀ {τ' : ℝ}
(h : Tendsto (fun n : ℕ => f^[n] 0 / n) atTop (𝓝 τ')) : τ f = τ' :=
f.translationNumber_eq_of_tendsto_aux <| by
simpa [Function.comp_def, transnumAuxSeq_def, coe_pow] using
h.comp (Nat.tendsto_pow_atTop_atTop_of_one_lt one_lt_two)
theorem translationNumber_eq_of_tendsto₀' {τ' : ℝ}
(h : Tendsto (fun n : ℕ => f^[n + 1] 0 / (n + 1)) atTop (𝓝 τ')) : τ f = τ' :=
f.translationNumber_eq_of_tendsto₀ <| (tendsto_add_atTop_iff_nat 1).1 (mod_cast h)
theorem transnumAuxSeq_zero : f.transnumAuxSeq 0 = f 0 := by simp [transnumAuxSeq]
theorem transnumAuxSeq_dist_lt (n : ℕ) :
dist (f.transnumAuxSeq n) (f.transnumAuxSeq (n + 1)) < 1 / 2 / 2 ^ n := by
have : 0 < (2 ^ (n + 1) : ℝ) := pow_pos zero_lt_two _
rw [div_div, ← pow_succ', ← abs_of_pos this]
calc
_ = dist ((f ^ 2 ^ n) 0 + (f ^ 2 ^ n) 0) ((f ^ 2 ^ n) ((f ^ 2 ^ n) 0)) / |2 ^ (n + 1)| := by
simp_rw [transnumAuxSeq, Real.dist_eq]
rw [← abs_div, sub_div, pow_succ, pow_succ', ← two_mul, mul_div_mul_left _ _ (two_ne_zero' ℝ),
pow_mul, sq, mul_apply]
_ < _ := by gcongr; exact (f ^ 2 ^ n).dist_map_map_zero_lt (f ^ 2 ^ n)
theorem tendsto_translationNumber_aux : Tendsto f.transnumAuxSeq atTop (𝓝 <| τ f) :=
(cauchySeq_of_le_geometric_two fun n => le_of_lt <| f.transnumAuxSeq_dist_lt n).tendsto_limUnder
theorem dist_map_zero_translationNumber_le : dist (f 0) (τ f) ≤ 1 :=
f.transnumAuxSeq_zero ▸
dist_le_of_le_geometric_two_of_tendsto₀ (fun n => le_of_lt <| f.transnumAuxSeq_dist_lt n)
f.tendsto_translationNumber_aux
theorem tendsto_translationNumber_of_dist_bounded_aux (x : ℕ → ℝ) (C : ℝ)
(H : ∀ n : ℕ, dist ((f ^ n) 0) (x n) ≤ C) :
Tendsto (fun n : ℕ => x (2 ^ n) / 2 ^ n) atTop (𝓝 <| τ f) := by
apply f.tendsto_translationNumber_aux.congr_dist (squeeze_zero (fun _ => dist_nonneg) _ _)
· exact fun n => C / 2 ^ n
· intro n
have : 0 < (2 ^ n : ℝ) := pow_pos zero_lt_two _
convert (div_le_div_iff_of_pos_right this).2 (H (2 ^ n)) using 1
rw [transnumAuxSeq, Real.dist_eq, ← sub_div, abs_div, abs_of_pos this, Real.dist_eq]
· exact mul_zero C ▸ tendsto_const_nhds.mul <| tendsto_inv_atTop_zero.comp <|
tendsto_pow_atTop_atTop_of_one_lt one_lt_two
theorem translationNumber_eq_of_dist_bounded {f g : CircleDeg1Lift} (C : ℝ)
(H : ∀ n : ℕ, dist ((f ^ n) 0) ((g ^ n) 0) ≤ C) : τ f = τ g :=
Eq.symm <| g.translationNumber_eq_of_tendsto_aux <|
f.tendsto_translationNumber_of_dist_bounded_aux (fun n ↦ (g ^ n) 0) C H
@[simp]
theorem translationNumber_one : τ 1 = 0 :=
translationNumber_eq_of_tendsto₀ _ <| by simp [tendsto_const_nhds]
theorem translationNumber_eq_of_semiconjBy {f g₁ g₂ : CircleDeg1Lift} (H : SemiconjBy f g₁ g₂) :
τ g₁ = τ g₂ :=
translationNumber_eq_of_dist_bounded 2 fun n =>
le_of_lt <| dist_map_zero_lt_of_semiconjBy <| H.pow_right n
theorem translationNumber_eq_of_semiconj {f g₁ g₂ : CircleDeg1Lift}
(H : Function.Semiconj f g₁ g₂) : τ g₁ = τ g₂ :=
translationNumber_eq_of_semiconjBy <| semiconjBy_iff_semiconj.2 H
theorem translationNumber_mul_of_commute {f g : CircleDeg1Lift} (h : Commute f g) :
τ (f * g) = τ f + τ g := by
refine tendsto_nhds_unique ?_
(f.tendsto_translationNumber_aux.add g.tendsto_translationNumber_aux)
simp only [transnumAuxSeq, ← add_div]
refine (f * g).tendsto_translationNumber_of_dist_bounded_aux
(fun n ↦ (f ^ n) 0 + (g ^ n) 0) 1 fun n ↦ ?_
rw [h.mul_pow, dist_comm]
exact le_of_lt ((f ^ n).dist_map_map_zero_lt (g ^ n))
@[simp]
theorem translationNumber_units_inv (f : CircleDeg1Liftˣ) : τ ↑f⁻¹ = -τ f :=
eq_neg_iff_add_eq_zero.2 <| by
simp [← translationNumber_mul_of_commute (Commute.refl _).units_inv_left]
@[simp]
theorem translationNumber_pow : ∀ n : ℕ, τ (f ^ n) = n * τ f
| 0 => by simp
| n + 1 => by
rw [pow_succ, translationNumber_mul_of_commute (Commute.pow_self f n),
translationNumber_pow n, Nat.cast_add_one, add_mul, one_mul]
@[simp]
theorem translationNumber_zpow (f : CircleDeg1Liftˣ) : ∀ n : ℤ, τ (f ^ n : Units _) = n * τ f
| (n : ℕ) => by simp [translationNumber_pow f n]
| -[n+1] => by simp; ring
@[simp]
theorem translationNumber_conj_eq (f : CircleDeg1Liftˣ) (g : CircleDeg1Lift) :
τ (↑f * g * ↑f⁻¹) = τ g :=
(translationNumber_eq_of_semiconjBy (f.mk_semiconjBy g)).symm
@[simp]
theorem translationNumber_conj_eq' (f : CircleDeg1Liftˣ) (g : CircleDeg1Lift) :
τ (↑f⁻¹ * g * f) = τ g :=
translationNumber_conj_eq f⁻¹ g
theorem dist_pow_map_zero_mul_translationNumber_le (n : ℕ) :
dist ((f ^ n) 0) (n * f.translationNumber) ≤ 1 :=
f.translationNumber_pow n ▸ (f ^ n).dist_map_zero_translationNumber_le
theorem tendsto_translation_number₀' :
Tendsto (fun n : ℕ => (f ^ (n + 1) : CircleDeg1Lift) 0 / ((n : ℝ) + 1)) atTop (𝓝 <| τ f) := by
refine
tendsto_iff_dist_tendsto_zero.2 <|
squeeze_zero (fun _ => dist_nonneg) (fun n => ?_)
((tendsto_const_div_atTop_nhds_zero_nat 1).comp (tendsto_add_atTop_nat 1))
dsimp
have : (0 : ℝ) < n + 1 := n.cast_add_one_pos
rw [Real.dist_eq, div_sub' (ne_of_gt this), abs_div, ← Real.dist_eq, abs_of_pos this,
Nat.cast_add_one, div_le_div_iff_of_pos_right this, ← Nat.cast_add_one]
apply dist_pow_map_zero_mul_translationNumber_le
theorem tendsto_translation_number₀ : Tendsto (fun n : ℕ => (f ^ n) 0 / n) atTop (𝓝 <| τ f) :=
(tendsto_add_atTop_iff_nat 1).1 (mod_cast f.tendsto_translation_number₀')
/-- For any `x : ℝ` the sequence $\frac{f^n(x)-x}{n}$ tends to the translation number of `f`.
In particular, this limit does not depend on `x`. -/
theorem tendsto_translationNumber (x : ℝ) :
Tendsto (fun n : ℕ => ((f ^ n) x - x) / n) atTop (𝓝 <| τ f) := by
rw [← translationNumber_conj_eq' (translate <| Multiplicative.ofAdd x)]
refine (tendsto_translation_number₀ _).congr fun n ↦ ?_
simp [sub_eq_neg_add, Units.conj_pow']
theorem tendsto_translation_number' (x : ℝ) :
Tendsto (fun n : ℕ => ((f ^ (n + 1) : CircleDeg1Lift) x - x) / (n + 1)) atTop (𝓝 <| τ f) :=
mod_cast (tendsto_add_atTop_iff_nat 1).2 (f.tendsto_translationNumber x)
theorem translationNumber_mono : Monotone τ := fun f g h =>
le_of_tendsto_of_tendsto' f.tendsto_translation_number₀ g.tendsto_translation_number₀ fun n => by
gcongr; exact pow_mono h _ _
theorem translationNumber_translate (x : ℝ) : τ (translate <| Multiplicative.ofAdd x) = x :=
translationNumber_eq_of_tendsto₀' _ <| by
simp only [translate_iterate, translate_apply, add_zero, Nat.cast_succ,
mul_div_cancel_left₀ (M₀ := ℝ) _ (Nat.cast_add_one_ne_zero _), tendsto_const_nhds]
theorem translationNumber_le_of_le_add {z : ℝ} (hz : ∀ x, f x ≤ x + z) : τ f ≤ z :=
translationNumber_translate z ▸ translationNumber_mono fun x => (hz x).trans_eq (add_comm _ _)
theorem le_translationNumber_of_add_le {z : ℝ} (hz : ∀ x, x + z ≤ f x) : z ≤ τ f :=
translationNumber_translate z ▸ translationNumber_mono fun x => (add_comm _ _).trans_le (hz x)
theorem translationNumber_le_of_le_add_int {x : ℝ} {m : ℤ} (h : f x ≤ x + m) : τ f ≤ m :=
le_of_tendsto' (f.tendsto_translation_number' x) fun n =>
(div_le_iff₀' (n.cast_add_one_pos : (0 : ℝ) < _)).mpr <| sub_le_iff_le_add'.2 <|
(coe_pow f (n + 1)).symm ▸ @Nat.cast_add_one ℝ _ n ▸ f.iterate_le_of_map_le_add_int h (n + 1)
theorem translationNumber_le_of_le_add_nat {x : ℝ} {m : ℕ} (h : f x ≤ x + m) : τ f ≤ m :=
@translationNumber_le_of_le_add_int f x m h
theorem le_translationNumber_of_add_int_le {x : ℝ} {m : ℤ} (h : x + m ≤ f x) : ↑m ≤ τ f :=
ge_of_tendsto' (f.tendsto_translation_number' x) fun n =>
(le_div_iff₀ (n.cast_add_one_pos : (0 : ℝ) < _)).mpr <| le_sub_iff_add_le'.2 <| by
simp only [coe_pow, mul_comm (m : ℝ), ← Nat.cast_add_one, f.le_iterate_of_add_int_le_map h]
theorem le_translationNumber_of_add_nat_le {x : ℝ} {m : ℕ} (h : x + m ≤ f x) : ↑m ≤ τ f :=
@le_translationNumber_of_add_int_le f x m h
/-- If `f x - x` is an integer number `m` for some point `x`, then `τ f = m`.
On the circle this means that a map with a fixed point has rotation number zero. -/
theorem translationNumber_of_eq_add_int {x : ℝ} {m : ℤ} (h : f x = x + m) : τ f = m :=
le_antisymm (translationNumber_le_of_le_add_int f <| le_of_eq h)
(le_translationNumber_of_add_int_le f <| le_of_eq h.symm)
theorem floor_sub_le_translationNumber (x : ℝ) : ↑⌊f x - x⌋ ≤ τ f :=
le_translationNumber_of_add_int_le f <| le_sub_iff_add_le'.1 (floor_le <| f x - x)
theorem translationNumber_le_ceil_sub (x : ℝ) : τ f ≤ ⌈f x - x⌉ :=
translationNumber_le_of_le_add_int f <| sub_le_iff_le_add'.1 (le_ceil <| f x - x)
theorem map_lt_of_translationNumber_lt_int {n : ℤ} (h : τ f < n) (x : ℝ) : f x < x + n :=
not_le.1 <| mt f.le_translationNumber_of_add_int_le <| not_le.2 h
theorem map_lt_of_translationNumber_lt_nat {n : ℕ} (h : τ f < n) (x : ℝ) : f x < x + n :=
@map_lt_of_translationNumber_lt_int f n h x
theorem map_lt_add_floor_translationNumber_add_one (x : ℝ) : f x < x + ⌊τ f⌋ + 1 := by
rw [add_assoc]
norm_cast
refine map_lt_of_translationNumber_lt_int _ ?_ _
push_cast
exact lt_floor_add_one _
theorem map_lt_add_translationNumber_add_one (x : ℝ) : f x < x + τ f + 1 :=
calc
f x < x + ⌊τ f⌋ + 1 := f.map_lt_add_floor_translationNumber_add_one x
_ ≤ x + τ f + 1 := by gcongr; apply floor_le
theorem lt_map_of_int_lt_translationNumber {n : ℤ} (h : ↑n < τ f) (x : ℝ) : x + n < f x :=
not_le.1 <| mt f.translationNumber_le_of_le_add_int <| not_le.2 h
theorem lt_map_of_nat_lt_translationNumber {n : ℕ} (h : ↑n < τ f) (x : ℝ) : x + n < f x :=
@lt_map_of_int_lt_translationNumber f n h x
/-- If `f^n x - x`, `n > 0`, is an integer number `m` for some point `x`, then
`τ f = m / n`. On the circle this means that a map with a periodic orbit has
a rational rotation number. -/
theorem translationNumber_of_map_pow_eq_add_int {x : ℝ} {n : ℕ} {m : ℤ} (h : (f ^ n) x = x + m)
(hn : 0 < n) : τ f = m / n := by
have := (f ^ n).translationNumber_of_eq_add_int h
rwa [translationNumber_pow, mul_comm, ← eq_div_iff] at this
exact Nat.cast_ne_zero.2 (ne_of_gt hn)
/-- If a predicate depends only on `f x - x` and holds for all `0 ≤ x ≤ 1`,
then it holds for all `x`. -/
theorem forall_map_sub_of_Icc (P : ℝ → Prop) (h : ∀ x ∈ Icc (0 : ℝ) 1, P (f x - x)) (x : ℝ) :
P (f x - x) :=
f.map_fract_sub_fract_eq x ▸ h _ ⟨fract_nonneg _, le_of_lt (fract_lt_one _)⟩
theorem translationNumber_lt_of_forall_lt_add (hf : Continuous f) {z : ℝ} (hz : ∀ x, f x < x + z) :
τ f < z := by
obtain ⟨x, -, hx⟩ : ∃ x ∈ Icc (0 : ℝ) 1, ∀ y ∈ Icc (0 : ℝ) 1, f y - y ≤ f x - x :=
isCompact_Icc.exists_isMaxOn (nonempty_Icc.2 zero_le_one)
(hf.sub continuous_id).continuousOn
refine lt_of_le_of_lt ?_ (sub_lt_iff_lt_add'.2 <| hz x)
apply translationNumber_le_of_le_add
simp only [← sub_le_iff_le_add']
exact f.forall_map_sub_of_Icc (fun a => a ≤ f x - x) hx
theorem lt_translationNumber_of_forall_add_lt (hf : Continuous f) {z : ℝ} (hz : ∀ x, x + z < f x) :
z < τ f := by
obtain ⟨x, -, hx⟩ : ∃ x ∈ Icc (0 : ℝ) 1, ∀ y ∈ Icc (0 : ℝ) 1, f x - x ≤ f y - y :=
isCompact_Icc.exists_isMinOn (nonempty_Icc.2 zero_le_one) (hf.sub continuous_id).continuousOn
refine lt_of_lt_of_le (lt_sub_iff_add_lt'.2 <| hz x) ?_
apply le_translationNumber_of_add_le
simp only [← le_sub_iff_add_le']
exact f.forall_map_sub_of_Icc _ hx
/-- If `f` is a continuous monotone map `ℝ → ℝ`, `f (x + 1) = f x + 1`, then there exists `x`
such that `f x = x + τ f`. -/
theorem exists_eq_add_translationNumber (hf : Continuous f) : ∃ x, f x = x + τ f := by
obtain ⟨a, ha⟩ : ∃ x, f x ≤ x + τ f := by
by_contra! H
exact lt_irrefl _ (f.lt_translationNumber_of_forall_add_lt hf H)
obtain ⟨b, hb⟩ : ∃ x, x + τ f ≤ f x := by
by_contra! H
exact lt_irrefl _ (f.translationNumber_lt_of_forall_lt_add hf H)
| exact intermediate_value_univ₂ hf (continuous_id.add continuous_const) ha hb
theorem translationNumber_eq_int_iff (hf : Continuous f) {m : ℤ} :
| Mathlib/Dynamics/Circle/RotationNumber/TranslationNumber.lean | 804 | 806 |
/-
Copyright (c) 2020 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Logic.Encodable.Pi
import Mathlib.MeasureTheory.Group.Measure
import Mathlib.MeasureTheory.MeasurableSpace.Pi
import Mathlib.MeasureTheory.Measure.Prod
import Mathlib.Topology.Constructions
/-!
# Indexed product measures
In this file we define and prove properties about finite products of measures
(and at some point, countable products of measures).
## Main definition
* `MeasureTheory.Measure.pi`: The product of finitely many σ-finite measures.
Given `μ : (i : ι) → Measure (α i)` for `[Fintype ι]` it has type `Measure ((i : ι) → α i)`.
To apply Fubini's theorem or Tonelli's theorem along some subset, we recommend using the marginal
construction `MeasureTheory.lmarginal` and (todo) `MeasureTheory.marginal`. This allows you to
apply the theorems without any bookkeeping with measurable equivalences.
## Implementation Notes
We define `MeasureTheory.OuterMeasure.pi`, the product of finitely many outer measures, as the
maximal outer measure `n` with the property that `n (pi univ s) ≤ ∏ i, m i (s i)`,
where `pi univ s` is the product of the sets `{s i | i : ι}`.
We then show that this induces a product of measures, called `MeasureTheory.Measure.pi`.
For a collection of σ-finite measures `μ` and a collection of measurable sets `s` we show that
`Measure.pi μ (pi univ s) = ∏ i, m i (s i)`. To do this, we follow the following steps:
* We know that there is some ordering on `ι`, given by an element of `[Countable ι]`.
* Using this, we have an equivalence `MeasurableEquiv.piMeasurableEquivTProd` between
`∀ ι, α i` and an iterated product of `α i`, called `List.tprod α l` for some list `l`.
* On this iterated product we can easily define a product measure `MeasureTheory.Measure.tprod`
by iterating `MeasureTheory.Measure.prod`
* Using the previous two steps we construct `MeasureTheory.Measure.pi'` on `(i : ι) → α i` for
countable `ι`.
* We know that `MeasureTheory.Measure.pi'` sends products of sets to products of measures, and
since `MeasureTheory.Measure.pi` is the maximal such measure (or at least, it comes from an outer
measure which is the maximal such outer measure), we get the same rule for
`MeasureTheory.Measure.pi`.
## Tags
finitary product measure
-/
noncomputable section
open Function Set MeasureTheory.OuterMeasure Filter MeasurableSpace Encodable
open scoped Topology ENNReal
universe u v
variable {ι ι' : Type*} {α : ι → Type*}
namespace MeasureTheory
variable [Fintype ι] {m : ∀ i, OuterMeasure (α i)}
/-- An upper bound for the measure in a finite product space.
It is defined to by taking the image of the set under all projections, and taking the product
of the measures of these images.
For measurable boxes it is equal to the correct measure. -/
@[simp]
def piPremeasure (m : ∀ i, OuterMeasure (α i)) (s : Set (∀ i, α i)) : ℝ≥0∞ :=
∏ i, m i (eval i '' s)
theorem piPremeasure_pi {s : ∀ i, Set (α i)} (hs : (pi univ s).Nonempty) :
piPremeasure m (pi univ s) = ∏ i, m i (s i) := by simp [hs, piPremeasure]
theorem piPremeasure_pi' {s : ∀ i, Set (α i)} : piPremeasure m (pi univ s) = ∏ i, m i (s i) := by
cases isEmpty_or_nonempty ι
· simp [piPremeasure]
rcases (pi univ s).eq_empty_or_nonempty with h | h
· rcases univ_pi_eq_empty_iff.mp h with ⟨i, hi⟩
have : ∃ i, m i (s i) = 0 := ⟨i, by simp [hi]⟩
simpa [h, Finset.card_univ, zero_pow Fintype.card_ne_zero, @eq_comm _ (0 : ℝ≥0∞),
Finset.prod_eq_zero_iff, piPremeasure]
· simp [h, piPremeasure]
theorem piPremeasure_pi_mono {s t : Set (∀ i, α i)} (h : s ⊆ t) :
piPremeasure m s ≤ piPremeasure m t :=
Finset.prod_le_prod' fun _ _ => measure_mono (image_subset _ h)
theorem piPremeasure_pi_eval {s : Set (∀ i, α i)} :
piPremeasure m (pi univ fun i => eval i '' s) = piPremeasure m s := by
simp only [eval, piPremeasure_pi']; rfl
namespace OuterMeasure
/-- `OuterMeasure.pi m` is the finite product of the outer measures `{m i | i : ι}`.
It is defined to be the maximal outer measure `n` with the property that
`n (pi univ s) ≤ ∏ i, m i (s i)`, where `pi univ s` is the product of the sets
`{s i | i : ι}`. -/
protected def pi (m : ∀ i, OuterMeasure (α i)) : OuterMeasure (∀ i, α i) :=
boundedBy (piPremeasure m)
theorem pi_pi_le (m : ∀ i, OuterMeasure (α i)) (s : ∀ i, Set (α i)) :
OuterMeasure.pi m (pi univ s) ≤ ∏ i, m i (s i) := by
rcases (pi univ s).eq_empty_or_nonempty with h | h
· simp [h]
exact (boundedBy_le _).trans_eq (piPremeasure_pi h)
theorem le_pi {m : ∀ i, OuterMeasure (α i)} {n : OuterMeasure (∀ i, α i)} :
n ≤ OuterMeasure.pi m ↔
∀ s : ∀ i, Set (α i), (pi univ s).Nonempty → n (pi univ s) ≤ ∏ i, m i (s i) := by
rw [OuterMeasure.pi, le_boundedBy']; constructor
· intro h s hs; refine (h _ hs).trans_eq (piPremeasure_pi hs)
· intro h s hs; refine le_trans (n.mono <| subset_pi_eval_image univ s) (h _ ?_)
simp [univ_pi_nonempty_iff, hs]
end OuterMeasure
namespace Measure
variable [∀ i, MeasurableSpace (α i)] (μ : ∀ i, Measure (α i))
section Tprod
open List
variable {δ : Type*} {X : δ → Type*} [∀ i, MeasurableSpace (X i)]
|
-- for some reason the equation compiler doesn't like this definition
/-- A product of measures in `tprod α l`. -/
protected def tprod (l : List δ) (μ : ∀ i, Measure (X i)) : Measure (TProd X l) := by
| Mathlib/MeasureTheory/Constructions/Pi.lean | 132 | 135 |
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura
-/
import Mathlib.Data.Set.Operations
import Mathlib.Order.Basic
import Mathlib.Order.BooleanAlgebra
import Mathlib.Tactic.Tauto
import Mathlib.Tactic.ByContra
import Mathlib.Util.Delaborators
import Mathlib.Tactic.Lift
/-!
# Basic properties of sets
Sets in Lean are homogeneous; all their elements have the same type. Sets whose elements
have type `X` are thus defined as `Set X := X → Prop`. Note that this function need not
be decidable. The definition is in the module `Mathlib.Data.Set.Defs`.
This file provides some basic definitions related to sets and functions not present in the
definitions file, as well as extra lemmas for functions defined in the definitions file and
`Mathlib.Data.Set.Operations` (empty set, univ, union, intersection, insert, singleton,
set-theoretic difference, complement, and powerset).
Note that a set is a term, not a type. There is a coercion from `Set α` to `Type*` sending
`s` to the corresponding subtype `↥s`.
See also the file `SetTheory/ZFC.lean`, which contains an encoding of ZFC set theory in Lean.
## Main definitions
Notation used here:
- `f : α → β` is a function,
- `s : Set α` and `s₁ s₂ : Set α` are subsets of `α`
- `t : Set β` is a subset of `β`.
Definitions in the file:
* `Nonempty s : Prop` : the predicate `s ≠ ∅`. Note that this is the preferred way to express the
fact that `s` has an element (see the Implementation Notes).
* `inclusion s₁ s₂ : ↥s₁ → ↥s₂` : the map `↥s₁ → ↥s₂` induced by an inclusion `s₁ ⊆ s₂`.
## Notation
* `sᶜ` for the complement of `s`
## Implementation notes
* `s.Nonempty` is to be preferred to `s ≠ ∅` or `∃ x, x ∈ s`. It has the advantage that
the `s.Nonempty` dot notation can be used.
* For `s : Set α`, do not use `Subtype s`. Instead use `↥s` or `(s : Type*)` or `s`.
## Tags
set, sets, subset, subsets, union, intersection, insert, singleton, complement, powerset
-/
assert_not_exists RelIso
/-! ### Set coercion to a type -/
open Function
universe u v
namespace Set
variable {α : Type u} {s t : Set α}
instance instBooleanAlgebra : BooleanAlgebra (Set α) :=
{ (inferInstance : BooleanAlgebra (α → Prop)) with
sup := (· ∪ ·),
le := (· ≤ ·),
lt := fun s t => s ⊆ t ∧ ¬t ⊆ s,
inf := (· ∩ ·),
bot := ∅,
compl := (·ᶜ),
top := univ,
sdiff := (· \ ·) }
instance : HasSSubset (Set α) :=
⟨(· < ·)⟩
@[simp]
theorem top_eq_univ : (⊤ : Set α) = univ :=
rfl
@[simp]
theorem bot_eq_empty : (⊥ : Set α) = ∅ :=
rfl
@[simp]
theorem sup_eq_union : ((· ⊔ ·) : Set α → Set α → Set α) = (· ∪ ·) :=
rfl
@[simp]
theorem inf_eq_inter : ((· ⊓ ·) : Set α → Set α → Set α) = (· ∩ ·) :=
rfl
@[simp]
theorem le_eq_subset : ((· ≤ ·) : Set α → Set α → Prop) = (· ⊆ ·) :=
rfl
@[simp]
theorem lt_eq_ssubset : ((· < ·) : Set α → Set α → Prop) = (· ⊂ ·) :=
rfl
theorem le_iff_subset : s ≤ t ↔ s ⊆ t :=
Iff.rfl
theorem lt_iff_ssubset : s < t ↔ s ⊂ t :=
Iff.rfl
alias ⟨_root_.LE.le.subset, _root_.HasSubset.Subset.le⟩ := le_iff_subset
alias ⟨_root_.LT.lt.ssubset, _root_.HasSSubset.SSubset.lt⟩ := lt_iff_ssubset
instance PiSetCoe.canLift (ι : Type u) (α : ι → Type v) [∀ i, Nonempty (α i)] (s : Set ι) :
CanLift (∀ i : s, α i) (∀ i, α i) (fun f i => f i) fun _ => True :=
PiSubtype.canLift ι α s
instance PiSetCoe.canLift' (ι : Type u) (α : Type v) [Nonempty α] (s : Set ι) :
CanLift (s → α) (ι → α) (fun f i => f i) fun _ => True :=
PiSetCoe.canLift ι (fun _ => α) s
end Set
section SetCoe
variable {α : Type u}
instance (s : Set α) : CoeTC s α := ⟨fun x => x.1⟩
theorem Set.coe_eq_subtype (s : Set α) : ↥s = { x // x ∈ s } :=
rfl
@[simp]
theorem Set.coe_setOf (p : α → Prop) : ↥{ x | p x } = { x // p x } :=
rfl
theorem SetCoe.forall {s : Set α} {p : s → Prop} : (∀ x : s, p x) ↔ ∀ (x) (h : x ∈ s), p ⟨x, h⟩ :=
Subtype.forall
theorem SetCoe.exists {s : Set α} {p : s → Prop} :
(∃ x : s, p x) ↔ ∃ (x : _) (h : x ∈ s), p ⟨x, h⟩ :=
Subtype.exists
theorem SetCoe.exists' {s : Set α} {p : ∀ x, x ∈ s → Prop} :
(∃ (x : _) (h : x ∈ s), p x h) ↔ ∃ x : s, p x.1 x.2 :=
(@SetCoe.exists _ _ fun x => p x.1 x.2).symm
theorem SetCoe.forall' {s : Set α} {p : ∀ x, x ∈ s → Prop} :
(∀ (x) (h : x ∈ s), p x h) ↔ ∀ x : s, p x.1 x.2 :=
(@SetCoe.forall _ _ fun x => p x.1 x.2).symm
@[simp]
theorem set_coe_cast :
∀ {s t : Set α} (H' : s = t) (H : ↥s = ↥t) (x : s), cast H x = ⟨x.1, H' ▸ x.2⟩
| _, _, rfl, _, _ => rfl
theorem SetCoe.ext {s : Set α} {a b : s} : (a : α) = b → a = b :=
Subtype.eq
theorem SetCoe.ext_iff {s : Set α} {a b : s} : (↑a : α) = ↑b ↔ a = b :=
Iff.intro SetCoe.ext fun h => h ▸ rfl
end SetCoe
/-- See also `Subtype.prop` -/
theorem Subtype.mem {α : Type*} {s : Set α} (p : s) : (p : α) ∈ s :=
p.prop
/-- Duplicate of `Eq.subset'`, which currently has elaboration problems. -/
theorem Eq.subset {α} {s t : Set α} : s = t → s ⊆ t :=
fun h₁ _ h₂ => by rw [← h₁]; exact h₂
namespace Set
variable {α : Type u} {β : Type v} {a b : α} {s s₁ s₂ t t₁ t₂ u : Set α}
instance : Inhabited (Set α) :=
⟨∅⟩
@[trans]
theorem mem_of_mem_of_subset {x : α} {s t : Set α} (hx : x ∈ s) (h : s ⊆ t) : x ∈ t :=
h hx
theorem forall_in_swap {p : α → β → Prop} : (∀ a ∈ s, ∀ (b), p a b) ↔ ∀ (b), ∀ a ∈ s, p a b := by
tauto
theorem setOf_injective : Function.Injective (@setOf α) := injective_id
theorem setOf_inj {p q : α → Prop} : { x | p x } = { x | q x } ↔ p = q := Iff.rfl
/-! ### Lemmas about `mem` and `setOf` -/
theorem mem_setOf {a : α} {p : α → Prop} : a ∈ { x | p x } ↔ p a :=
Iff.rfl
/-- This lemma is intended for use with `rw` where a membership predicate is needed,
hence the explicit argument and the equality in the reverse direction from normal.
See also `Set.mem_setOf_eq` for the reverse direction applied to an argument. -/
theorem eq_mem_setOf (p : α → Prop) : p = (· ∈ {a | p a}) := rfl
/-- If `h : a ∈ {x | p x}` then `h.out : p x`. These are definitionally equal, but this can
nevertheless be useful for various reasons, e.g. to apply further projection notation or in an
argument to `simp`. -/
theorem _root_.Membership.mem.out {p : α → Prop} {a : α} (h : a ∈ { x | p x }) : p a :=
h
theorem nmem_setOf_iff {a : α} {p : α → Prop} : a ∉ { x | p x } ↔ ¬p a :=
Iff.rfl
@[simp]
theorem setOf_mem_eq {s : Set α} : { x | x ∈ s } = s :=
rfl
theorem setOf_set {s : Set α} : setOf s = s :=
rfl
theorem setOf_app_iff {p : α → Prop} {x : α} : { x | p x } x ↔ p x :=
Iff.rfl
theorem mem_def {a : α} {s : Set α} : a ∈ s ↔ s a :=
Iff.rfl
theorem setOf_bijective : Bijective (setOf : (α → Prop) → Set α) :=
bijective_id
theorem subset_setOf {p : α → Prop} {s : Set α} : s ⊆ setOf p ↔ ∀ x, x ∈ s → p x :=
Iff.rfl
theorem setOf_subset {p : α → Prop} {s : Set α} : setOf p ⊆ s ↔ ∀ x, p x → x ∈ s :=
Iff.rfl
@[simp]
theorem setOf_subset_setOf {p q : α → Prop} : { a | p a } ⊆ { a | q a } ↔ ∀ a, p a → q a :=
Iff.rfl
theorem setOf_and {p q : α → Prop} : { a | p a ∧ q a } = { a | p a } ∩ { a | q a } :=
rfl
theorem setOf_or {p q : α → Prop} : { a | p a ∨ q a } = { a | p a } ∪ { a | q a } :=
rfl
/-! ### Subset and strict subset relations -/
instance : IsRefl (Set α) (· ⊆ ·) :=
show IsRefl (Set α) (· ≤ ·) by infer_instance
instance : IsTrans (Set α) (· ⊆ ·) :=
show IsTrans (Set α) (· ≤ ·) by infer_instance
instance : Trans ((· ⊆ ·) : Set α → Set α → Prop) (· ⊆ ·) (· ⊆ ·) :=
show Trans (· ≤ ·) (· ≤ ·) (· ≤ ·) by infer_instance
instance : IsAntisymm (Set α) (· ⊆ ·) :=
show IsAntisymm (Set α) (· ≤ ·) by infer_instance
instance : IsIrrefl (Set α) (· ⊂ ·) :=
show IsIrrefl (Set α) (· < ·) by infer_instance
instance : IsTrans (Set α) (· ⊂ ·) :=
show IsTrans (Set α) (· < ·) by infer_instance
instance : Trans ((· ⊂ ·) : Set α → Set α → Prop) (· ⊂ ·) (· ⊂ ·) :=
show Trans (· < ·) (· < ·) (· < ·) by infer_instance
instance : Trans ((· ⊂ ·) : Set α → Set α → Prop) (· ⊆ ·) (· ⊂ ·) :=
show Trans (· < ·) (· ≤ ·) (· < ·) by infer_instance
instance : Trans ((· ⊆ ·) : Set α → Set α → Prop) (· ⊂ ·) (· ⊂ ·) :=
show Trans (· ≤ ·) (· < ·) (· < ·) by infer_instance
instance : IsAsymm (Set α) (· ⊂ ·) :=
show IsAsymm (Set α) (· < ·) by infer_instance
instance : IsNonstrictStrictOrder (Set α) (· ⊆ ·) (· ⊂ ·) :=
⟨fun _ _ => Iff.rfl⟩
-- TODO(Jeremy): write a tactic to unfold specific instances of generic notation?
theorem subset_def : (s ⊆ t) = ∀ x, x ∈ s → x ∈ t :=
rfl
theorem ssubset_def : (s ⊂ t) = (s ⊆ t ∧ ¬t ⊆ s) :=
rfl
@[refl]
theorem Subset.refl (a : Set α) : a ⊆ a := fun _ => id
theorem Subset.rfl {s : Set α} : s ⊆ s :=
Subset.refl s
@[trans]
theorem Subset.trans {a b c : Set α} (ab : a ⊆ b) (bc : b ⊆ c) : a ⊆ c := fun _ h => bc <| ab h
@[trans]
theorem mem_of_eq_of_mem {x y : α} {s : Set α} (hx : x = y) (h : y ∈ s) : x ∈ s :=
hx.symm ▸ h
theorem Subset.antisymm {a b : Set α} (h₁ : a ⊆ b) (h₂ : b ⊆ a) : a = b :=
Set.ext fun _ => ⟨@h₁ _, @h₂ _⟩
theorem Subset.antisymm_iff {a b : Set α} : a = b ↔ a ⊆ b ∧ b ⊆ a :=
⟨fun e => ⟨e.subset, e.symm.subset⟩, fun ⟨h₁, h₂⟩ => Subset.antisymm h₁ h₂⟩
-- an alternative name
theorem eq_of_subset_of_subset {a b : Set α} : a ⊆ b → b ⊆ a → a = b :=
Subset.antisymm
theorem mem_of_subset_of_mem {s₁ s₂ : Set α} {a : α} (h : s₁ ⊆ s₂) : a ∈ s₁ → a ∈ s₂ :=
@h _
theorem not_mem_subset (h : s ⊆ t) : a ∉ t → a ∉ s :=
mt <| mem_of_subset_of_mem h
theorem not_subset : ¬s ⊆ t ↔ ∃ a ∈ s, a ∉ t := by
simp only [subset_def, not_forall, exists_prop]
theorem not_top_subset : ¬⊤ ⊆ s ↔ ∃ a, a ∉ s := by
simp [not_subset]
lemma eq_of_forall_subset_iff (h : ∀ u, s ⊆ u ↔ t ⊆ u) : s = t := eq_of_forall_ge_iff h
/-! ### Definition of strict subsets `s ⊂ t` and basic properties. -/
protected theorem eq_or_ssubset_of_subset (h : s ⊆ t) : s = t ∨ s ⊂ t :=
eq_or_lt_of_le h
theorem exists_of_ssubset {s t : Set α} (h : s ⊂ t) : ∃ x ∈ t, x ∉ s :=
not_subset.1 h.2
protected theorem ssubset_iff_subset_ne {s t : Set α} : s ⊂ t ↔ s ⊆ t ∧ s ≠ t :=
@lt_iff_le_and_ne (Set α) _ s t
theorem ssubset_iff_of_subset {s t : Set α} (h : s ⊆ t) : s ⊂ t ↔ ∃ x ∈ t, x ∉ s :=
⟨exists_of_ssubset, fun ⟨_, hxt, hxs⟩ => ⟨h, fun h => hxs <| h hxt⟩⟩
theorem ssubset_iff_exists {s t : Set α} : s ⊂ t ↔ s ⊆ t ∧ ∃ x ∈ t, x ∉ s :=
⟨fun h ↦ ⟨h.le, Set.exists_of_ssubset h⟩, fun ⟨h1, h2⟩ ↦ (Set.ssubset_iff_of_subset h1).mpr h2⟩
protected theorem ssubset_of_ssubset_of_subset {s₁ s₂ s₃ : Set α} (hs₁s₂ : s₁ ⊂ s₂)
(hs₂s₃ : s₂ ⊆ s₃) : s₁ ⊂ s₃ :=
⟨Subset.trans hs₁s₂.1 hs₂s₃, fun hs₃s₁ => hs₁s₂.2 (Subset.trans hs₂s₃ hs₃s₁)⟩
protected theorem ssubset_of_subset_of_ssubset {s₁ s₂ s₃ : Set α} (hs₁s₂ : s₁ ⊆ s₂)
(hs₂s₃ : s₂ ⊂ s₃) : s₁ ⊂ s₃ :=
⟨Subset.trans hs₁s₂ hs₂s₃.1, fun hs₃s₁ => hs₂s₃.2 (Subset.trans hs₃s₁ hs₁s₂)⟩
theorem not_mem_empty (x : α) : ¬x ∈ (∅ : Set α) :=
id
theorem not_not_mem : ¬a ∉ s ↔ a ∈ s :=
not_not
/-! ### Non-empty sets -/
theorem nonempty_coe_sort {s : Set α} : Nonempty ↥s ↔ s.Nonempty :=
nonempty_subtype
alias ⟨_, Nonempty.coe_sort⟩ := nonempty_coe_sort
theorem nonempty_def : s.Nonempty ↔ ∃ x, x ∈ s :=
Iff.rfl
theorem nonempty_of_mem {x} (h : x ∈ s) : s.Nonempty :=
⟨x, h⟩
theorem Nonempty.not_subset_empty : s.Nonempty → ¬s ⊆ ∅
| ⟨_, hx⟩, hs => hs hx
/-- Extract a witness from `s.Nonempty`. This function might be used instead of case analysis
on the argument. Note that it makes a proof depend on the `Classical.choice` axiom. -/
protected noncomputable def Nonempty.some (h : s.Nonempty) : α :=
Classical.choose h
protected theorem Nonempty.some_mem (h : s.Nonempty) : h.some ∈ s :=
Classical.choose_spec h
theorem Nonempty.mono (ht : s ⊆ t) (hs : s.Nonempty) : t.Nonempty :=
hs.imp ht
theorem nonempty_of_not_subset (h : ¬s ⊆ t) : (s \ t).Nonempty :=
let ⟨x, xs, xt⟩ := not_subset.1 h
⟨x, xs, xt⟩
theorem nonempty_of_ssubset (ht : s ⊂ t) : (t \ s).Nonempty :=
nonempty_of_not_subset ht.2
theorem Nonempty.of_diff (h : (s \ t).Nonempty) : s.Nonempty :=
h.imp fun _ => And.left
theorem nonempty_of_ssubset' (ht : s ⊂ t) : t.Nonempty :=
(nonempty_of_ssubset ht).of_diff
theorem Nonempty.inl (hs : s.Nonempty) : (s ∪ t).Nonempty :=
hs.imp fun _ => Or.inl
theorem Nonempty.inr (ht : t.Nonempty) : (s ∪ t).Nonempty :=
ht.imp fun _ => Or.inr
@[simp]
theorem union_nonempty : (s ∪ t).Nonempty ↔ s.Nonempty ∨ t.Nonempty :=
exists_or
theorem Nonempty.left (h : (s ∩ t).Nonempty) : s.Nonempty :=
h.imp fun _ => And.left
theorem Nonempty.right (h : (s ∩ t).Nonempty) : t.Nonempty :=
h.imp fun _ => And.right
theorem inter_nonempty : (s ∩ t).Nonempty ↔ ∃ x, x ∈ s ∧ x ∈ t :=
Iff.rfl
theorem inter_nonempty_iff_exists_left : (s ∩ t).Nonempty ↔ ∃ x ∈ s, x ∈ t := by
simp_rw [inter_nonempty]
theorem inter_nonempty_iff_exists_right : (s ∩ t).Nonempty ↔ ∃ x ∈ t, x ∈ s := by
simp_rw [inter_nonempty, and_comm]
theorem nonempty_iff_univ_nonempty : Nonempty α ↔ (univ : Set α).Nonempty :=
⟨fun ⟨x⟩ => ⟨x, trivial⟩, fun ⟨x, _⟩ => ⟨x⟩⟩
@[simp]
theorem univ_nonempty : ∀ [Nonempty α], (univ : Set α).Nonempty
| ⟨x⟩ => ⟨x, trivial⟩
theorem Nonempty.to_subtype : s.Nonempty → Nonempty (↥s) :=
nonempty_subtype.2
theorem Nonempty.to_type : s.Nonempty → Nonempty α := fun ⟨x, _⟩ => ⟨x⟩
instance univ.nonempty [Nonempty α] : Nonempty (↥(Set.univ : Set α)) :=
Set.univ_nonempty.to_subtype
-- Redeclare for refined keys
-- `Nonempty (@Subtype _ (@Membership.mem _ (Set _) _ (@Top.top (Set _) _)))`
instance instNonemptyTop [Nonempty α] : Nonempty (⊤ : Set α) :=
inferInstanceAs (Nonempty (univ : Set α))
theorem Nonempty.of_subtype [Nonempty (↥s)] : s.Nonempty := nonempty_subtype.mp ‹_›
@[deprecated (since := "2024-11-23")] alias nonempty_of_nonempty_subtype := Nonempty.of_subtype
/-! ### Lemmas about the empty set -/
theorem empty_def : (∅ : Set α) = { _x : α | False } :=
rfl
@[simp]
theorem mem_empty_iff_false (x : α) : x ∈ (∅ : Set α) ↔ False :=
Iff.rfl
@[simp]
theorem setOf_false : { _a : α | False } = ∅ :=
rfl
@[simp] theorem setOf_bot : { _x : α | ⊥ } = ∅ := rfl
@[simp]
theorem empty_subset (s : Set α) : ∅ ⊆ s :=
nofun
@[simp]
theorem subset_empty_iff {s : Set α} : s ⊆ ∅ ↔ s = ∅ :=
(Subset.antisymm_iff.trans <| and_iff_left (empty_subset _)).symm
theorem eq_empty_iff_forall_not_mem {s : Set α} : s = ∅ ↔ ∀ x, x ∉ s :=
subset_empty_iff.symm
theorem eq_empty_of_forall_not_mem (h : ∀ x, x ∉ s) : s = ∅ :=
subset_empty_iff.1 h
theorem eq_empty_of_subset_empty {s : Set α} : s ⊆ ∅ → s = ∅ :=
subset_empty_iff.1
theorem eq_empty_of_isEmpty [IsEmpty α] (s : Set α) : s = ∅ :=
eq_empty_of_subset_empty fun x _ => isEmptyElim x
/-- There is exactly one set of a type that is empty. -/
instance uniqueEmpty [IsEmpty α] : Unique (Set α) where
default := ∅
uniq := eq_empty_of_isEmpty
/-- See also `Set.nonempty_iff_ne_empty`. -/
theorem not_nonempty_iff_eq_empty {s : Set α} : ¬s.Nonempty ↔ s = ∅ := by
simp only [Set.Nonempty, not_exists, eq_empty_iff_forall_not_mem]
/-- See also `Set.not_nonempty_iff_eq_empty`. -/
theorem nonempty_iff_ne_empty : s.Nonempty ↔ s ≠ ∅ :=
not_nonempty_iff_eq_empty.not_right
/-- See also `nonempty_iff_ne_empty'`. -/
theorem not_nonempty_iff_eq_empty' : ¬Nonempty s ↔ s = ∅ := by
rw [nonempty_subtype, not_exists, eq_empty_iff_forall_not_mem]
/-- See also `not_nonempty_iff_eq_empty'`. -/
theorem nonempty_iff_ne_empty' : Nonempty s ↔ s ≠ ∅ :=
not_nonempty_iff_eq_empty'.not_right
alias ⟨Nonempty.ne_empty, _⟩ := nonempty_iff_ne_empty
@[simp]
theorem not_nonempty_empty : ¬(∅ : Set α).Nonempty := fun ⟨_, hx⟩ => hx
@[simp]
theorem isEmpty_coe_sort {s : Set α} : IsEmpty (↥s) ↔ s = ∅ :=
not_iff_not.1 <| by simpa using nonempty_iff_ne_empty
theorem eq_empty_or_nonempty (s : Set α) : s = ∅ ∨ s.Nonempty :=
or_iff_not_imp_left.2 nonempty_iff_ne_empty.2
theorem subset_eq_empty {s t : Set α} (h : t ⊆ s) (e : s = ∅) : t = ∅ :=
subset_empty_iff.1 <| e ▸ h
theorem forall_mem_empty {p : α → Prop} : (∀ x ∈ (∅ : Set α), p x) ↔ True :=
iff_true_intro fun _ => False.elim
instance (α : Type u) : IsEmpty.{u + 1} (↥(∅ : Set α)) :=
⟨fun x => x.2⟩
@[simp]
theorem empty_ssubset : ∅ ⊂ s ↔ s.Nonempty :=
(@bot_lt_iff_ne_bot (Set α) _ _ _).trans nonempty_iff_ne_empty.symm
alias ⟨_, Nonempty.empty_ssubset⟩ := empty_ssubset
/-!
### Universal set.
In Lean `@univ α` (or `univ : Set α`) is the set that contains all elements of type `α`.
Mathematically it is the same as `α` but it has a different type.
-/
@[simp]
theorem setOf_true : { _x : α | True } = univ :=
rfl
@[simp] theorem setOf_top : { _x : α | ⊤ } = univ := rfl
@[simp]
theorem univ_eq_empty_iff : (univ : Set α) = ∅ ↔ IsEmpty α :=
eq_empty_iff_forall_not_mem.trans
⟨fun H => ⟨fun x => H x trivial⟩, fun H x _ => @IsEmpty.false α H x⟩
theorem empty_ne_univ [Nonempty α] : (∅ : Set α) ≠ univ := fun e =>
not_isEmpty_of_nonempty α <| univ_eq_empty_iff.1 e.symm
@[simp]
theorem subset_univ (s : Set α) : s ⊆ univ := fun _ _ => trivial
@[simp]
theorem univ_subset_iff {s : Set α} : univ ⊆ s ↔ s = univ :=
@top_le_iff _ _ _ s
alias ⟨eq_univ_of_univ_subset, _⟩ := univ_subset_iff
theorem eq_univ_iff_forall {s : Set α} : s = univ ↔ ∀ x, x ∈ s :=
univ_subset_iff.symm.trans <| forall_congr' fun _ => imp_iff_right trivial
theorem eq_univ_of_forall {s : Set α} : (∀ x, x ∈ s) → s = univ :=
eq_univ_iff_forall.2
theorem Nonempty.eq_univ [Subsingleton α] : s.Nonempty → s = univ := by
rintro ⟨x, hx⟩
exact eq_univ_of_forall fun y => by rwa [Subsingleton.elim y x]
theorem eq_univ_of_subset {s t : Set α} (h : s ⊆ t) (hs : s = univ) : t = univ :=
eq_univ_of_univ_subset <| (hs ▸ h : univ ⊆ t)
theorem exists_mem_of_nonempty (α) : ∀ [Nonempty α], ∃ x : α, x ∈ (univ : Set α)
| ⟨x⟩ => ⟨x, trivial⟩
theorem ne_univ_iff_exists_not_mem {α : Type*} (s : Set α) : s ≠ univ ↔ ∃ a, a ∉ s := by
rw [← not_forall, ← eq_univ_iff_forall]
theorem not_subset_iff_exists_mem_not_mem {α : Type*} {s t : Set α} :
¬s ⊆ t ↔ ∃ x, x ∈ s ∧ x ∉ t := by simp [subset_def]
theorem univ_unique [Unique α] : @Set.univ α = {default} :=
Set.ext fun x => iff_of_true trivial <| Subsingleton.elim x default
theorem ssubset_univ_iff : s ⊂ univ ↔ s ≠ univ :=
lt_top_iff_ne_top
instance nontrivial_of_nonempty [Nonempty α] : Nontrivial (Set α) :=
⟨⟨∅, univ, empty_ne_univ⟩⟩
/-! ### Lemmas about union -/
theorem union_def {s₁ s₂ : Set α} : s₁ ∪ s₂ = { a | a ∈ s₁ ∨ a ∈ s₂ } :=
rfl
theorem mem_union_left {x : α} {a : Set α} (b : Set α) : x ∈ a → x ∈ a ∪ b :=
Or.inl
theorem mem_union_right {x : α} {b : Set α} (a : Set α) : x ∈ b → x ∈ a ∪ b :=
Or.inr
theorem mem_or_mem_of_mem_union {x : α} {a b : Set α} (H : x ∈ a ∪ b) : x ∈ a ∨ x ∈ b :=
H
theorem MemUnion.elim {x : α} {a b : Set α} {P : Prop} (H₁ : x ∈ a ∪ b) (H₂ : x ∈ a → P)
(H₃ : x ∈ b → P) : P :=
Or.elim H₁ H₂ H₃
@[simp]
theorem mem_union (x : α) (a b : Set α) : x ∈ a ∪ b ↔ x ∈ a ∨ x ∈ b :=
Iff.rfl
@[simp]
theorem union_self (a : Set α) : a ∪ a = a :=
ext fun _ => or_self_iff
@[simp]
theorem union_empty (a : Set α) : a ∪ ∅ = a :=
ext fun _ => iff_of_eq (or_false _)
@[simp]
theorem empty_union (a : Set α) : ∅ ∪ a = a :=
ext fun _ => iff_of_eq (false_or _)
theorem union_comm (a b : Set α) : a ∪ b = b ∪ a :=
ext fun _ => or_comm
theorem union_assoc (a b c : Set α) : a ∪ b ∪ c = a ∪ (b ∪ c) :=
ext fun _ => or_assoc
instance union_isAssoc : Std.Associative (α := Set α) (· ∪ ·) :=
⟨union_assoc⟩
instance union_isComm : Std.Commutative (α := Set α) (· ∪ ·) :=
⟨union_comm⟩
theorem union_left_comm (s₁ s₂ s₃ : Set α) : s₁ ∪ (s₂ ∪ s₃) = s₂ ∪ (s₁ ∪ s₃) :=
ext fun _ => or_left_comm
theorem union_right_comm (s₁ s₂ s₃ : Set α) : s₁ ∪ s₂ ∪ s₃ = s₁ ∪ s₃ ∪ s₂ :=
ext fun _ => or_right_comm
@[simp]
theorem union_eq_left {s t : Set α} : s ∪ t = s ↔ t ⊆ s :=
sup_eq_left
@[simp]
theorem union_eq_right {s t : Set α} : s ∪ t = t ↔ s ⊆ t :=
sup_eq_right
theorem union_eq_self_of_subset_left {s t : Set α} (h : s ⊆ t) : s ∪ t = t :=
union_eq_right.mpr h
theorem union_eq_self_of_subset_right {s t : Set α} (h : t ⊆ s) : s ∪ t = s :=
union_eq_left.mpr h
@[simp]
theorem subset_union_left {s t : Set α} : s ⊆ s ∪ t := fun _ => Or.inl
@[simp]
theorem subset_union_right {s t : Set α} : t ⊆ s ∪ t := fun _ => Or.inr
theorem union_subset {s t r : Set α} (sr : s ⊆ r) (tr : t ⊆ r) : s ∪ t ⊆ r := fun _ =>
Or.rec (@sr _) (@tr _)
@[simp]
theorem union_subset_iff {s t u : Set α} : s ∪ t ⊆ u ↔ s ⊆ u ∧ t ⊆ u :=
(forall_congr' fun _ => or_imp).trans forall_and
@[gcongr]
theorem union_subset_union {s₁ s₂ t₁ t₂ : Set α} (h₁ : s₁ ⊆ s₂) (h₂ : t₁ ⊆ t₂) :
s₁ ∪ t₁ ⊆ s₂ ∪ t₂ := fun _ => Or.imp (@h₁ _) (@h₂ _)
@[gcongr]
theorem union_subset_union_left {s₁ s₂ : Set α} (t) (h : s₁ ⊆ s₂) : s₁ ∪ t ⊆ s₂ ∪ t :=
union_subset_union h Subset.rfl
@[gcongr]
theorem union_subset_union_right (s) {t₁ t₂ : Set α} (h : t₁ ⊆ t₂) : s ∪ t₁ ⊆ s ∪ t₂ :=
union_subset_union Subset.rfl h
theorem subset_union_of_subset_left {s t : Set α} (h : s ⊆ t) (u : Set α) : s ⊆ t ∪ u :=
h.trans subset_union_left
theorem subset_union_of_subset_right {s u : Set α} (h : s ⊆ u) (t : Set α) : s ⊆ t ∪ u :=
h.trans subset_union_right
theorem union_congr_left (ht : t ⊆ s ∪ u) (hu : u ⊆ s ∪ t) : s ∪ t = s ∪ u :=
sup_congr_left ht hu
theorem union_congr_right (hs : s ⊆ t ∪ u) (ht : t ⊆ s ∪ u) : s ∪ u = t ∪ u :=
sup_congr_right hs ht
theorem union_eq_union_iff_left : s ∪ t = s ∪ u ↔ t ⊆ s ∪ u ∧ u ⊆ s ∪ t :=
sup_eq_sup_iff_left
theorem union_eq_union_iff_right : s ∪ u = t ∪ u ↔ s ⊆ t ∪ u ∧ t ⊆ s ∪ u :=
sup_eq_sup_iff_right
@[simp]
theorem union_empty_iff {s t : Set α} : s ∪ t = ∅ ↔ s = ∅ ∧ t = ∅ := by
simp only [← subset_empty_iff]
exact union_subset_iff
@[simp]
theorem union_univ (s : Set α) : s ∪ univ = univ := sup_top_eq _
@[simp]
theorem univ_union (s : Set α) : univ ∪ s = univ := top_sup_eq _
@[simp]
theorem ssubset_union_left_iff : s ⊂ s ∪ t ↔ ¬ t ⊆ s :=
left_lt_sup
@[simp]
theorem ssubset_union_right_iff : t ⊂ s ∪ t ↔ ¬ s ⊆ t :=
right_lt_sup
/-! ### Lemmas about intersection -/
theorem inter_def {s₁ s₂ : Set α} : s₁ ∩ s₂ = { a | a ∈ s₁ ∧ a ∈ s₂ } :=
rfl
@[simp, mfld_simps]
theorem mem_inter_iff (x : α) (a b : Set α) : x ∈ a ∩ b ↔ x ∈ a ∧ x ∈ b :=
Iff.rfl
theorem mem_inter {x : α} {a b : Set α} (ha : x ∈ a) (hb : x ∈ b) : x ∈ a ∩ b :=
⟨ha, hb⟩
theorem mem_of_mem_inter_left {x : α} {a b : Set α} (h : x ∈ a ∩ b) : x ∈ a :=
h.left
theorem mem_of_mem_inter_right {x : α} {a b : Set α} (h : x ∈ a ∩ b) : x ∈ b :=
h.right
@[simp]
theorem inter_self (a : Set α) : a ∩ a = a :=
ext fun _ => and_self_iff
@[simp]
theorem inter_empty (a : Set α) : a ∩ ∅ = ∅ :=
ext fun _ => iff_of_eq (and_false _)
@[simp]
theorem empty_inter (a : Set α) : ∅ ∩ a = ∅ :=
ext fun _ => iff_of_eq (false_and _)
theorem inter_comm (a b : Set α) : a ∩ b = b ∩ a :=
ext fun _ => and_comm
theorem inter_assoc (a b c : Set α) : a ∩ b ∩ c = a ∩ (b ∩ c) :=
ext fun _ => and_assoc
instance inter_isAssoc : Std.Associative (α := Set α) (· ∩ ·) :=
⟨inter_assoc⟩
instance inter_isComm : Std.Commutative (α := Set α) (· ∩ ·) :=
⟨inter_comm⟩
theorem inter_left_comm (s₁ s₂ s₃ : Set α) : s₁ ∩ (s₂ ∩ s₃) = s₂ ∩ (s₁ ∩ s₃) :=
ext fun _ => and_left_comm
theorem inter_right_comm (s₁ s₂ s₃ : Set α) : s₁ ∩ s₂ ∩ s₃ = s₁ ∩ s₃ ∩ s₂ :=
ext fun _ => and_right_comm
@[simp, mfld_simps]
theorem inter_subset_left {s t : Set α} : s ∩ t ⊆ s := fun _ => And.left
@[simp]
theorem inter_subset_right {s t : Set α} : s ∩ t ⊆ t := fun _ => And.right
theorem subset_inter {s t r : Set α} (rs : r ⊆ s) (rt : r ⊆ t) : r ⊆ s ∩ t := fun _ h =>
⟨rs h, rt h⟩
@[simp]
theorem subset_inter_iff {s t r : Set α} : r ⊆ s ∩ t ↔ r ⊆ s ∧ r ⊆ t :=
(forall_congr' fun _ => imp_and).trans forall_and
@[simp] lemma inter_eq_left : s ∩ t = s ↔ s ⊆ t := inf_eq_left
@[simp] lemma inter_eq_right : s ∩ t = t ↔ t ⊆ s := inf_eq_right
@[simp] lemma left_eq_inter : s = s ∩ t ↔ s ⊆ t := left_eq_inf
@[simp] lemma right_eq_inter : t = s ∩ t ↔ t ⊆ s := right_eq_inf
theorem inter_eq_self_of_subset_left {s t : Set α} : s ⊆ t → s ∩ t = s :=
inter_eq_left.mpr
theorem inter_eq_self_of_subset_right {s t : Set α} : t ⊆ s → s ∩ t = t :=
inter_eq_right.mpr
theorem inter_congr_left (ht : s ∩ u ⊆ t) (hu : s ∩ t ⊆ u) : s ∩ t = s ∩ u :=
inf_congr_left ht hu
theorem inter_congr_right (hs : t ∩ u ⊆ s) (ht : s ∩ u ⊆ t) : s ∩ u = t ∩ u :=
inf_congr_right hs ht
theorem inter_eq_inter_iff_left : s ∩ t = s ∩ u ↔ s ∩ u ⊆ t ∧ s ∩ t ⊆ u :=
inf_eq_inf_iff_left
theorem inter_eq_inter_iff_right : s ∩ u = t ∩ u ↔ t ∩ u ⊆ s ∧ s ∩ u ⊆ t :=
inf_eq_inf_iff_right
@[simp, mfld_simps]
theorem inter_univ (a : Set α) : a ∩ univ = a := inf_top_eq _
@[simp, mfld_simps]
theorem univ_inter (a : Set α) : univ ∩ a = a := top_inf_eq _
@[gcongr]
theorem inter_subset_inter {s₁ s₂ t₁ t₂ : Set α} (h₁ : s₁ ⊆ t₁) (h₂ : s₂ ⊆ t₂) :
s₁ ∩ s₂ ⊆ t₁ ∩ t₂ := fun _ => And.imp (@h₁ _) (@h₂ _)
@[gcongr]
theorem inter_subset_inter_left {s t : Set α} (u : Set α) (H : s ⊆ t) : s ∩ u ⊆ t ∩ u :=
inter_subset_inter H Subset.rfl
@[gcongr]
theorem inter_subset_inter_right {s t : Set α} (u : Set α) (H : s ⊆ t) : u ∩ s ⊆ u ∩ t :=
inter_subset_inter Subset.rfl H
theorem union_inter_cancel_left {s t : Set α} : (s ∪ t) ∩ s = s :=
inter_eq_self_of_subset_right subset_union_left
theorem union_inter_cancel_right {s t : Set α} : (s ∪ t) ∩ t = t :=
inter_eq_self_of_subset_right subset_union_right
theorem inter_setOf_eq_sep (s : Set α) (p : α → Prop) : s ∩ {a | p a} = {a ∈ s | p a} :=
rfl
theorem setOf_inter_eq_sep (p : α → Prop) (s : Set α) : {a | p a} ∩ s = {a ∈ s | p a} :=
inter_comm _ _
@[simp]
theorem inter_ssubset_right_iff : s ∩ t ⊂ t ↔ ¬ t ⊆ s :=
inf_lt_right
@[simp]
theorem inter_ssubset_left_iff : s ∩ t ⊂ s ↔ ¬ s ⊆ t :=
inf_lt_left
/-! ### Distributivity laws -/
theorem inter_union_distrib_left (s t u : Set α) : s ∩ (t ∪ u) = s ∩ t ∪ s ∩ u :=
inf_sup_left _ _ _
theorem union_inter_distrib_right (s t u : Set α) : (s ∪ t) ∩ u = s ∩ u ∪ t ∩ u :=
inf_sup_right _ _ _
theorem union_inter_distrib_left (s t u : Set α) : s ∪ t ∩ u = (s ∪ t) ∩ (s ∪ u) :=
sup_inf_left _ _ _
theorem inter_union_distrib_right (s t u : Set α) : s ∩ t ∪ u = (s ∪ u) ∩ (t ∪ u) :=
sup_inf_right _ _ _
theorem union_union_distrib_left (s t u : Set α) : s ∪ (t ∪ u) = s ∪ t ∪ (s ∪ u) :=
sup_sup_distrib_left _ _ _
theorem union_union_distrib_right (s t u : Set α) : s ∪ t ∪ u = s ∪ u ∪ (t ∪ u) :=
sup_sup_distrib_right _ _ _
theorem inter_inter_distrib_left (s t u : Set α) : s ∩ (t ∩ u) = s ∩ t ∩ (s ∩ u) :=
inf_inf_distrib_left _ _ _
theorem inter_inter_distrib_right (s t u : Set α) : s ∩ t ∩ u = s ∩ u ∩ (t ∩ u) :=
inf_inf_distrib_right _ _ _
theorem union_union_union_comm (s t u v : Set α) : s ∪ t ∪ (u ∪ v) = s ∪ u ∪ (t ∪ v) :=
sup_sup_sup_comm _ _ _ _
theorem inter_inter_inter_comm (s t u v : Set α) : s ∩ t ∩ (u ∩ v) = s ∩ u ∩ (t ∩ v) :=
inf_inf_inf_comm _ _ _ _
/-! ### Lemmas about sets defined as `{x ∈ s | p x}`. -/
section Sep
variable {p q : α → Prop} {x : α}
theorem mem_sep (xs : x ∈ s) (px : p x) : x ∈ { x ∈ s | p x } :=
⟨xs, px⟩
@[simp]
theorem sep_mem_eq : { x ∈ s | x ∈ t } = s ∩ t :=
rfl
@[simp]
theorem mem_sep_iff : x ∈ { x ∈ s | p x } ↔ x ∈ s ∧ p x :=
Iff.rfl
theorem sep_ext_iff : { x ∈ s | p x } = { x ∈ s | q x } ↔ ∀ x ∈ s, p x ↔ q x := by
simp_rw [Set.ext_iff, mem_sep_iff, and_congr_right_iff]
theorem sep_eq_of_subset (h : s ⊆ t) : { x ∈ t | x ∈ s } = s :=
inter_eq_self_of_subset_right h
@[simp]
theorem sep_subset (s : Set α) (p : α → Prop) : { x ∈ s | p x } ⊆ s := fun _ => And.left
@[simp]
theorem sep_eq_self_iff_mem_true : { x ∈ s | p x } = s ↔ ∀ x ∈ s, p x := by
simp_rw [Set.ext_iff, mem_sep_iff, and_iff_left_iff_imp]
@[simp]
theorem sep_eq_empty_iff_mem_false : { x ∈ s | p x } = ∅ ↔ ∀ x ∈ s, ¬p x := by
simp_rw [Set.ext_iff, mem_sep_iff, mem_empty_iff_false, iff_false, not_and]
theorem sep_true : { x ∈ s | True } = s :=
inter_univ s
theorem sep_false : { x ∈ s | False } = ∅ :=
inter_empty s
theorem sep_empty (p : α → Prop) : { x ∈ (∅ : Set α) | p x } = ∅ :=
empty_inter {x | p x}
theorem sep_univ : { x ∈ (univ : Set α) | p x } = { x | p x } :=
univ_inter {x | p x}
@[simp]
theorem sep_union : { x | (x ∈ s ∨ x ∈ t) ∧ p x } = { x ∈ s | p x } ∪ { x ∈ t | p x } :=
union_inter_distrib_right { x | x ∈ s } { x | x ∈ t } p
@[simp]
theorem sep_inter : { x | (x ∈ s ∧ x ∈ t) ∧ p x } = { x ∈ s | p x } ∩ { x ∈ t | p x } :=
inter_inter_distrib_right s t {x | p x}
@[simp]
theorem sep_and : { x ∈ s | p x ∧ q x } = { x ∈ s | p x } ∩ { x ∈ s | q x } :=
inter_inter_distrib_left s {x | p x} {x | q x}
@[simp]
theorem sep_or : { x ∈ s | p x ∨ q x } = { x ∈ s | p x } ∪ { x ∈ s | q x } :=
inter_union_distrib_left s p q
@[simp]
theorem sep_setOf : { x ∈ { y | p y } | q x } = { x | p x ∧ q x } :=
rfl
end Sep
/-- See also `Set.sdiff_inter_right_comm`. -/
lemma inter_diff_assoc (a b c : Set α) : (a ∩ b) \ c = a ∩ (b \ c) := inf_sdiff_assoc ..
/-- See also `Set.inter_diff_assoc`. -/
lemma sdiff_inter_right_comm (s t u : Set α) : s \ t ∩ u = (s ∩ u) \ t := sdiff_inf_right_comm ..
lemma inter_sdiff_left_comm (s t u : Set α) : s ∩ (t \ u) = t ∩ (s \ u) := inf_sdiff_left_comm ..
theorem diff_union_diff_cancel (hts : t ⊆ s) (hut : u ⊆ t) : s \ t ∪ t \ u = s \ u :=
sdiff_sup_sdiff_cancel hts hut
/-- A version of `diff_union_diff_cancel` with more general hypotheses. -/
theorem diff_union_diff_cancel' (hi : s ∩ u ⊆ t) (hu : t ⊆ s ∪ u) : (s \ t) ∪ (t \ u) = s \ u :=
sdiff_sup_sdiff_cancel' hi hu
theorem diff_diff_eq_sdiff_union (h : u ⊆ s) : s \ (t \ u) = s \ t ∪ u := sdiff_sdiff_eq_sdiff_sup h
theorem inter_diff_distrib_left (s t u : Set α) : s ∩ (t \ u) = (s ∩ t) \ (s ∩ u) :=
inf_sdiff_distrib_left _ _ _
theorem inter_diff_distrib_right (s t u : Set α) : (s \ t) ∩ u = (s ∩ u) \ (t ∩ u) :=
inf_sdiff_distrib_right _ _ _
theorem diff_inter_distrib_right (s t r : Set α) : (t ∩ r) \ s = (t \ s) ∩ (r \ s) :=
inf_sdiff
/-! ### Lemmas about complement -/
theorem compl_def (s : Set α) : sᶜ = { x | x ∉ s } :=
rfl
theorem mem_compl {s : Set α} {x : α} (h : x ∉ s) : x ∈ sᶜ :=
h
theorem compl_setOf {α} (p : α → Prop) : { a | p a }ᶜ = { a | ¬p a } :=
rfl
theorem not_mem_of_mem_compl {s : Set α} {x : α} (h : x ∈ sᶜ) : x ∉ s :=
h
theorem not_mem_compl_iff {x : α} : x ∉ sᶜ ↔ x ∈ s :=
not_not
@[simp]
theorem inter_compl_self (s : Set α) : s ∩ sᶜ = ∅ :=
inf_compl_eq_bot
@[simp]
theorem compl_inter_self (s : Set α) : sᶜ ∩ s = ∅ :=
compl_inf_eq_bot
@[simp]
theorem compl_empty : (∅ : Set α)ᶜ = univ :=
compl_bot
@[simp]
theorem compl_union (s t : Set α) : (s ∪ t)ᶜ = sᶜ ∩ tᶜ :=
compl_sup
theorem compl_inter (s t : Set α) : (s ∩ t)ᶜ = sᶜ ∪ tᶜ :=
compl_inf
@[simp]
theorem compl_univ : (univ : Set α)ᶜ = ∅ :=
compl_top
@[simp]
theorem compl_empty_iff {s : Set α} : sᶜ = ∅ ↔ s = univ :=
compl_eq_bot
@[simp]
theorem compl_univ_iff {s : Set α} : sᶜ = univ ↔ s = ∅ :=
compl_eq_top
theorem compl_ne_univ : sᶜ ≠ univ ↔ s.Nonempty :=
compl_univ_iff.not.trans nonempty_iff_ne_empty.symm
lemma inl_compl_union_inr_compl {α β : Type*} {s : Set α} {t : Set β} :
Sum.inl '' sᶜ ∪ Sum.inr '' tᶜ = (Sum.inl '' s ∪ Sum.inr '' t)ᶜ := by
rw [compl_union]
aesop
theorem nonempty_compl : sᶜ.Nonempty ↔ s ≠ univ :=
(ne_univ_iff_exists_not_mem s).symm
theorem union_eq_compl_compl_inter_compl (s t : Set α) : s ∪ t = (sᶜ ∩ tᶜ)ᶜ :=
ext fun _ => or_iff_not_and_not
theorem inter_eq_compl_compl_union_compl (s t : Set α) : s ∩ t = (sᶜ ∪ tᶜ)ᶜ :=
ext fun _ => and_iff_not_or_not
@[simp]
theorem union_compl_self (s : Set α) : s ∪ sᶜ = univ :=
eq_univ_iff_forall.2 fun _ => em _
@[simp]
theorem compl_union_self (s : Set α) : sᶜ ∪ s = univ := by rw [union_comm, union_compl_self]
theorem compl_subset_comm : sᶜ ⊆ t ↔ tᶜ ⊆ s :=
@compl_le_iff_compl_le _ s _ _
theorem subset_compl_comm : s ⊆ tᶜ ↔ t ⊆ sᶜ :=
@le_compl_iff_le_compl _ _ _ t
@[simp]
theorem compl_subset_compl : sᶜ ⊆ tᶜ ↔ t ⊆ s :=
@compl_le_compl_iff_le (Set α) _ _ _
@[gcongr] theorem compl_subset_compl_of_subset (h : t ⊆ s) : sᶜ ⊆ tᶜ := compl_subset_compl.2 h
theorem subset_union_compl_iff_inter_subset {s t u : Set α} : s ⊆ t ∪ uᶜ ↔ s ∩ u ⊆ t :=
(@isCompl_compl _ u _).le_sup_right_iff_inf_left_le
theorem compl_subset_iff_union {s t : Set α} : sᶜ ⊆ t ↔ s ∪ t = univ :=
Iff.symm <| eq_univ_iff_forall.trans <| forall_congr' fun _ => or_iff_not_imp_left
theorem inter_subset (a b c : Set α) : a ∩ b ⊆ c ↔ a ⊆ bᶜ ∪ c :=
forall_congr' fun _ => and_imp.trans <| imp_congr_right fun _ => imp_iff_not_or
theorem inter_compl_nonempty_iff {s t : Set α} : (s ∩ tᶜ).Nonempty ↔ ¬s ⊆ t :=
(not_subset.trans <| exists_congr fun x => by simp [mem_compl]).symm
/-! ### Lemmas about set difference -/
theorem not_mem_diff_of_mem {s t : Set α} {x : α} (hx : x ∈ t) : x ∉ s \ t := fun h => h.2 hx
theorem mem_of_mem_diff {s t : Set α} {x : α} (h : x ∈ s \ t) : x ∈ s :=
h.left
theorem not_mem_of_mem_diff {s t : Set α} {x : α} (h : x ∈ s \ t) : x ∉ t :=
h.right
theorem diff_eq_compl_inter {s t : Set α} : s \ t = tᶜ ∩ s := by rw [diff_eq, inter_comm]
theorem diff_nonempty {s t : Set α} : (s \ t).Nonempty ↔ ¬s ⊆ t :=
inter_compl_nonempty_iff
theorem diff_subset {s t : Set α} : s \ t ⊆ s := show s \ t ≤ s from sdiff_le
theorem diff_subset_compl (s t : Set α) : s \ t ⊆ tᶜ :=
diff_eq_compl_inter ▸ inter_subset_left
theorem union_diff_cancel' {s t u : Set α} (h₁ : s ⊆ t) (h₂ : t ⊆ u) : t ∪ u \ s = u :=
sup_sdiff_cancel' h₁ h₂
theorem union_diff_cancel {s t : Set α} (h : s ⊆ t) : s ∪ t \ s = t :=
sup_sdiff_cancel_right h
theorem union_diff_cancel_left {s t : Set α} (h : s ∩ t ⊆ ∅) : (s ∪ t) \ s = t :=
Disjoint.sup_sdiff_cancel_left <| disjoint_iff_inf_le.2 h
theorem union_diff_cancel_right {s t : Set α} (h : s ∩ t ⊆ ∅) : (s ∪ t) \ t = s :=
Disjoint.sup_sdiff_cancel_right <| disjoint_iff_inf_le.2 h
@[simp]
theorem union_diff_left {s t : Set α} : (s ∪ t) \ s = t \ s :=
sup_sdiff_left_self
@[simp]
theorem union_diff_right {s t : Set α} : (s ∪ t) \ t = s \ t :=
sup_sdiff_right_self
theorem union_diff_distrib {s t u : Set α} : (s ∪ t) \ u = s \ u ∪ t \ u :=
sup_sdiff
@[simp]
theorem inter_diff_self (a b : Set α) : a ∩ (b \ a) = ∅ :=
inf_sdiff_self_right
@[simp]
theorem inter_union_diff (s t : Set α) : s ∩ t ∪ s \ t = s :=
sup_inf_sdiff s t
@[simp]
theorem diff_union_inter (s t : Set α) : s \ t ∪ s ∩ t = s := by
rw [union_comm]
exact sup_inf_sdiff _ _
@[simp]
theorem inter_union_compl (s t : Set α) : s ∩ t ∪ s ∩ tᶜ = s :=
inter_union_diff _ _
@[gcongr]
theorem diff_subset_diff {s₁ s₂ t₁ t₂ : Set α} : s₁ ⊆ s₂ → t₂ ⊆ t₁ → s₁ \ t₁ ⊆ s₂ \ t₂ :=
show s₁ ≤ s₂ → t₂ ≤ t₁ → s₁ \ t₁ ≤ s₂ \ t₂ from sdiff_le_sdiff
@[gcongr]
theorem diff_subset_diff_left {s₁ s₂ t : Set α} (h : s₁ ⊆ s₂) : s₁ \ t ⊆ s₂ \ t :=
sdiff_le_sdiff_right ‹s₁ ≤ s₂›
@[gcongr]
theorem diff_subset_diff_right {s t u : Set α} (h : t ⊆ u) : s \ u ⊆ s \ t :=
sdiff_le_sdiff_left ‹t ≤ u›
theorem diff_subset_diff_iff_subset {r : Set α} (hs : s ⊆ r) (ht : t ⊆ r) :
r \ s ⊆ r \ t ↔ t ⊆ s :=
sdiff_le_sdiff_iff_le hs ht
theorem compl_eq_univ_diff (s : Set α) : sᶜ = univ \ s :=
top_sdiff.symm
@[simp]
theorem empty_diff (s : Set α) : (∅ \ s : Set α) = ∅ :=
bot_sdiff
theorem diff_eq_empty {s t : Set α} : s \ t = ∅ ↔ s ⊆ t :=
sdiff_eq_bot_iff
@[simp]
theorem diff_empty {s : Set α} : s \ ∅ = s :=
sdiff_bot
@[simp]
theorem diff_univ (s : Set α) : s \ univ = ∅ :=
diff_eq_empty.2 (subset_univ s)
theorem diff_diff {u : Set α} : (s \ t) \ u = s \ (t ∪ u) :=
sdiff_sdiff_left
-- the following statement contains parentheses to help the reader
theorem diff_diff_comm {s t u : Set α} : (s \ t) \ u = (s \ u) \ t :=
sdiff_sdiff_comm
theorem diff_subset_iff {s t u : Set α} : s \ t ⊆ u ↔ s ⊆ t ∪ u :=
show s \ t ≤ u ↔ s ≤ t ∪ u from sdiff_le_iff
theorem subset_diff_union (s t : Set α) : s ⊆ s \ t ∪ t :=
show s ≤ s \ t ∪ t from le_sdiff_sup
theorem diff_union_of_subset {s t : Set α} (h : t ⊆ s) : s \ t ∪ t = s :=
Subset.antisymm (union_subset diff_subset h) (subset_diff_union _ _)
theorem diff_subset_comm {s t u : Set α} : s \ t ⊆ u ↔ s \ u ⊆ t :=
show s \ t ≤ u ↔ s \ u ≤ t from sdiff_le_comm
theorem diff_inter {s t u : Set α} : s \ (t ∩ u) = s \ t ∪ s \ u :=
sdiff_inf
theorem diff_inter_diff : s \ t ∩ (s \ u) = s \ (t ∪ u) :=
sdiff_sup.symm
theorem diff_compl : s \ tᶜ = s ∩ t :=
sdiff_compl
theorem compl_diff : (t \ s)ᶜ = s ∪ tᶜ :=
Eq.trans compl_sdiff himp_eq
theorem diff_diff_right {s t u : Set α} : s \ (t \ u) = s \ t ∪ s ∩ u :=
sdiff_sdiff_right'
theorem inter_diff_right_comm : (s ∩ t) \ u = s \ u ∩ t := by
rw [diff_eq, diff_eq, inter_right_comm]
theorem diff_inter_right_comm : (s \ u) ∩ t = (s ∩ t) \ u := by
rw [diff_eq, diff_eq, inter_right_comm]
@[simp]
theorem union_diff_self {s t : Set α} : s ∪ t \ s = s ∪ t :=
sup_sdiff_self _ _
@[simp]
theorem diff_union_self {s t : Set α} : s \ t ∪ t = s ∪ t :=
sdiff_sup_self _ _
@[simp]
theorem diff_inter_self {a b : Set α} : b \ a ∩ a = ∅ :=
inf_sdiff_self_left
@[simp]
theorem diff_inter_self_eq_diff {s t : Set α} : s \ (t ∩ s) = s \ t :=
sdiff_inf_self_right _ _
@[simp]
theorem diff_self_inter {s t : Set α} : s \ (s ∩ t) = s \ t :=
sdiff_inf_self_left _ _
theorem diff_self {s : Set α} : s \ s = ∅ :=
sdiff_self
theorem diff_diff_right_self (s t : Set α) : s \ (s \ t) = s ∩ t :=
sdiff_sdiff_right_self
theorem diff_diff_cancel_left {s t : Set α} (h : s ⊆ t) : t \ (t \ s) = s :=
sdiff_sdiff_eq_self h
theorem union_eq_diff_union_diff_union_inter (s t : Set α) : s ∪ t = s \ t ∪ t \ s ∪ s ∩ t :=
sup_eq_sdiff_sup_sdiff_sup_inf
/-! ### Powerset -/
theorem mem_powerset {x s : Set α} (h : x ⊆ s) : x ∈ 𝒫 s := @h
theorem subset_of_mem_powerset {x s : Set α} (h : x ∈ 𝒫 s) : x ⊆ s := @h
@[simp]
theorem mem_powerset_iff (x s : Set α) : x ∈ 𝒫 s ↔ x ⊆ s :=
Iff.rfl
theorem powerset_inter (s t : Set α) : 𝒫(s ∩ t) = 𝒫 s ∩ 𝒫 t :=
ext fun _ => subset_inter_iff
@[simp]
theorem powerset_mono : 𝒫 s ⊆ 𝒫 t ↔ s ⊆ t :=
⟨fun h => @h _ (fun _ h => h), fun h _ hu _ ha => h (hu ha)⟩
theorem monotone_powerset : Monotone (powerset : Set α → Set (Set α)) := fun _ _ => powerset_mono.2
@[simp]
theorem powerset_nonempty : (𝒫 s).Nonempty :=
⟨∅, fun _ h => empty_subset s h⟩
@[simp]
theorem powerset_empty : 𝒫(∅ : Set α) = {∅} :=
ext fun _ => subset_empty_iff
@[simp]
theorem powerset_univ : 𝒫(univ : Set α) = univ :=
eq_univ_of_forall subset_univ
/-! ### Sets defined as an if-then-else -/
@[deprecated _root_.mem_dite (since := "2025-01-30")]
protected theorem mem_dite (p : Prop) [Decidable p] (s : p → Set α) (t : ¬ p → Set α) (x : α) :
(x ∈ if h : p then s h else t h) ↔ (∀ h : p, x ∈ s h) ∧ ∀ h : ¬p, x ∈ t h :=
_root_.mem_dite
theorem mem_dite_univ_right (p : Prop) [Decidable p] (t : p → Set α) (x : α) :
(x ∈ if h : p then t h else univ) ↔ ∀ h : p, x ∈ t h := by
simp [mem_dite]
@[simp]
theorem mem_ite_univ_right (p : Prop) [Decidable p] (t : Set α) (x : α) :
x ∈ ite p t Set.univ ↔ p → x ∈ t :=
mem_dite_univ_right p (fun _ => t) x
theorem mem_dite_univ_left (p : Prop) [Decidable p] (t : ¬p → Set α) (x : α) :
(x ∈ if h : p then univ else t h) ↔ ∀ h : ¬p, x ∈ t h := by
split_ifs <;> simp_all
@[simp]
theorem mem_ite_univ_left (p : Prop) [Decidable p] (t : Set α) (x : α) :
x ∈ ite p Set.univ t ↔ ¬p → x ∈ t :=
mem_dite_univ_left p (fun _ => t) x
theorem mem_dite_empty_right (p : Prop) [Decidable p] (t : p → Set α) (x : α) :
(x ∈ if h : p then t h else ∅) ↔ ∃ h : p, x ∈ t h := by
simp only [mem_dite, mem_empty_iff_false, imp_false, not_not]
exact ⟨fun h => ⟨h.2, h.1 h.2⟩, fun ⟨h₁, h₂⟩ => ⟨fun _ => h₂, h₁⟩⟩
@[simp]
theorem mem_ite_empty_right (p : Prop) [Decidable p] (t : Set α) (x : α) :
x ∈ ite p t ∅ ↔ p ∧ x ∈ t :=
(mem_dite_empty_right p (fun _ => t) x).trans (by simp)
theorem mem_dite_empty_left (p : Prop) [Decidable p] (t : ¬p → Set α) (x : α) :
(x ∈ if h : p then ∅ else t h) ↔ ∃ h : ¬p, x ∈ t h := by
simp only [mem_dite, mem_empty_iff_false, imp_false]
exact ⟨fun h => ⟨h.1, h.2 h.1⟩, fun ⟨h₁, h₂⟩ => ⟨fun h => h₁ h, fun _ => h₂⟩⟩
@[simp]
theorem mem_ite_empty_left (p : Prop) [Decidable p] (t : Set α) (x : α) :
x ∈ ite p ∅ t ↔ ¬p ∧ x ∈ t :=
(mem_dite_empty_left p (fun _ => t) x).trans (by simp)
/-! ### If-then-else for sets -/
/-- `ite` for sets: `Set.ite t s s' ∩ t = s ∩ t`, `Set.ite t s s' ∩ tᶜ = s' ∩ tᶜ`.
Defined as `s ∩ t ∪ s' \ t`. -/
protected def ite (t s s' : Set α) : Set α :=
s ∩ t ∪ s' \ t
@[simp]
theorem ite_inter_self (t s s' : Set α) : t.ite s s' ∩ t = s ∩ t := by
rw [Set.ite, union_inter_distrib_right, diff_inter_self, inter_assoc, inter_self, union_empty]
@[simp]
theorem ite_compl (t s s' : Set α) : tᶜ.ite s s' = t.ite s' s := by
rw [Set.ite, Set.ite, diff_compl, union_comm, diff_eq]
@[simp]
theorem ite_inter_compl_self (t s s' : Set α) : t.ite s s' ∩ tᶜ = s' ∩ tᶜ := by
rw [← ite_compl, ite_inter_self]
@[simp]
theorem ite_diff_self (t s s' : Set α) : t.ite s s' \ t = s' \ t :=
ite_inter_compl_self t s s'
@[simp]
theorem ite_same (t s : Set α) : t.ite s s = s :=
inter_union_diff _ _
@[simp]
theorem ite_left (s t : Set α) : s.ite s t = s ∪ t := by simp [Set.ite]
@[simp]
theorem ite_right (s t : Set α) : s.ite t s = t ∩ s := by simp [Set.ite]
@[simp]
theorem ite_empty (s s' : Set α) : Set.ite ∅ s s' = s' := by simp [Set.ite]
@[simp]
theorem ite_univ (s s' : Set α) : Set.ite univ s s' = s := by simp [Set.ite]
@[simp]
theorem ite_empty_left (t s : Set α) : t.ite ∅ s = s \ t := by simp [Set.ite]
@[simp]
theorem ite_empty_right (t s : Set α) : t.ite s ∅ = s ∩ t := by simp [Set.ite]
theorem ite_mono (t : Set α) {s₁ s₁' s₂ s₂' : Set α} (h : s₁ ⊆ s₂) (h' : s₁' ⊆ s₂') :
t.ite s₁ s₁' ⊆ t.ite s₂ s₂' :=
union_subset_union (inter_subset_inter_left _ h) (inter_subset_inter_left _ h')
theorem ite_subset_union (t s s' : Set α) : t.ite s s' ⊆ s ∪ s' :=
union_subset_union inter_subset_left diff_subset
theorem inter_subset_ite (t s s' : Set α) : s ∩ s' ⊆ t.ite s s' :=
ite_same t (s ∩ s') ▸ ite_mono _ inter_subset_left inter_subset_right
theorem ite_inter_inter (t s₁ s₂ s₁' s₂' : Set α) :
t.ite (s₁ ∩ s₂) (s₁' ∩ s₂') = t.ite s₁ s₁' ∩ t.ite s₂ s₂' := by
ext x
simp only [Set.ite, Set.mem_inter_iff, Set.mem_diff, Set.mem_union]
tauto
theorem ite_inter (t s₁ s₂ s : Set α) : t.ite (s₁ ∩ s) (s₂ ∩ s) = t.ite s₁ s₂ ∩ s := by
rw [ite_inter_inter, ite_same]
theorem ite_inter_of_inter_eq (t : Set α) {s₁ s₂ s : Set α} (h : s₁ ∩ s = s₂ ∩ s) :
t.ite s₁ s₂ ∩ s = s₁ ∩ s := by rw [← ite_inter, ← h, ite_same]
theorem subset_ite {t s s' u : Set α} : u ⊆ t.ite s s' ↔ u ∩ t ⊆ s ∧ u \ t ⊆ s' := by
simp only [subset_def, ← forall_and]
refine forall_congr' fun x => ?_
by_cases hx : x ∈ t <;> simp [*, Set.ite]
theorem ite_eq_of_subset_left (t : Set α) {s₁ s₂ : Set α} (h : s₁ ⊆ s₂) :
t.ite s₁ s₂ = s₁ ∪ (s₂ \ t) := by
ext x
by_cases hx : x ∈ t <;> simp [*, Set.ite, or_iff_right_of_imp (@h x)]
theorem ite_eq_of_subset_right (t : Set α) {s₁ s₂ : Set α} (h : s₂ ⊆ s₁) :
t.ite s₁ s₂ = (s₁ ∩ t) ∪ s₂ := by
ext x
by_cases hx : x ∈ t <;> simp [*, Set.ite, or_iff_left_of_imp (@h x)]
end Set
open Set
namespace Function
variable {α : Type*} {β : Type*}
theorem Injective.nonempty_apply_iff {f : Set α → Set β} (hf : Injective f) (h2 : f ∅ = ∅)
{s : Set α} : (f s).Nonempty ↔ s.Nonempty := by
rw [nonempty_iff_ne_empty, ← h2, nonempty_iff_ne_empty, hf.ne_iff]
end Function
namespace Subsingleton
variable {α : Type*} [Subsingleton α]
theorem eq_univ_of_nonempty {s : Set α} : s.Nonempty → s = univ := fun ⟨x, hx⟩ =>
eq_univ_of_forall fun y => Subsingleton.elim x y ▸ hx
@[elab_as_elim]
theorem set_cases {p : Set α → Prop} (h0 : p ∅) (h1 : p univ) (s) : p s :=
(s.eq_empty_or_nonempty.elim fun h => h.symm ▸ h0) fun h => (eq_univ_of_nonempty h).symm ▸ h1
theorem mem_iff_nonempty {α : Type*} [Subsingleton α] {s : Set α} {x : α} : x ∈ s ↔ s.Nonempty :=
⟨fun hx => ⟨x, hx⟩, fun ⟨y, hy⟩ => Subsingleton.elim y x ▸ hy⟩
end Subsingleton
/-! ### Decidability instances for sets -/
namespace Set
variable {α : Type u} (s t : Set α) (a b : α)
instance decidableSdiff [Decidable (a ∈ s)] [Decidable (a ∈ t)] : Decidable (a ∈ s \ t) :=
inferInstanceAs (Decidable (a ∈ s ∧ a ∉ t))
instance decidableInter [Decidable (a ∈ s)] [Decidable (a ∈ t)] : Decidable (a ∈ s ∩ t) :=
inferInstanceAs (Decidable (a ∈ s ∧ a ∈ t))
instance decidableUnion [Decidable (a ∈ s)] [Decidable (a ∈ t)] : Decidable (a ∈ s ∪ t) :=
inferInstanceAs (Decidable (a ∈ s ∨ a ∈ t))
instance decidableCompl [Decidable (a ∈ s)] : Decidable (a ∈ sᶜ) :=
inferInstanceAs (Decidable (a ∉ s))
instance decidableEmptyset : Decidable (a ∈ (∅ : Set α)) := Decidable.isFalse (by simp)
instance decidableUniv : Decidable (a ∈ univ) := Decidable.isTrue (by simp)
instance decidableInsert [Decidable (a = b)] [Decidable (a ∈ s)] : Decidable (a ∈ insert b s) :=
inferInstanceAs (Decidable (_ ∨ _))
instance decidableSetOf (p : α → Prop) [Decidable (p a)] : Decidable (a ∈ { a | p a }) := by
assumption
end Set
variable {α : Type*} {s t u : Set α}
namespace Equiv
/-- Given a predicate `p : α → Prop`, produces an equivalence between
`Set {a : α // p a}` and `{s : Set α // ∀ a ∈ s, p a}`. -/
protected def setSubtypeComm (p : α → Prop) :
Set {a : α // p a} ≃ {s : Set α // ∀ a ∈ s, p a} where
toFun s := ⟨{a | ∃ h : p a, s ⟨a, h⟩}, fun _ h ↦ h.1⟩
invFun s := {a | a.val ∈ s.val}
left_inv s := by ext a; exact ⟨fun h ↦ h.2, fun h ↦ ⟨a.property, h⟩⟩
right_inv s := by ext; exact ⟨fun h ↦ h.2, fun h ↦ ⟨s.property _ h, h⟩⟩
@[simp]
protected lemma setSubtypeComm_apply (p : α → Prop) (s : Set {a // p a}) :
(Equiv.setSubtypeComm p) s = ⟨{a | ∃ h : p a, ⟨a, h⟩ ∈ s}, fun _ h ↦ h.1⟩ :=
rfl
@[simp]
protected lemma setSubtypeComm_symm_apply (p : α → Prop) (s : {s // ∀ a ∈ s, p a}) :
(Equiv.setSubtypeComm p).symm s = {a | a.val ∈ s.val} :=
rfl
end Equiv
| Mathlib/Data/Set/Basic.lean | 2,193 | 2,195 | |
/-
Copyright (c) 2022 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang, Joël Riou
-/
import Mathlib.CategoryTheory.Limits.Shapes.Pullback.CommSq
import Mathlib.CategoryTheory.Limits.Shapes.Diagonal
import Mathlib.CategoryTheory.Limits.Final
import Mathlib.CategoryTheory.MorphismProperty.Composition
/-!
# Relation of morphism properties with limits
The following predicates are introduces for morphism properties `P`:
* `IsStableUnderBaseChange`: `P` is stable under base change if in all pullback
squares, the left map satisfies `P` if the right map satisfies it.
* `IsStableUnderCobaseChange`: `P` is stable under cobase change if in all pushout
squares, the right map satisfies `P` if the left map satisfies it.
We define `P.universally` for the class of morphisms which satisfy `P` after any base change.
We also introduce properties `IsStableUnderProductsOfShape`, `IsStableUnderLimitsOfShape`,
`IsStableUnderFiniteProducts`, and similar properties for colimits and coproducts.
-/
universe w w' v u
namespace CategoryTheory
open Category Limits
namespace MorphismProperty
variable {C : Type u} [Category.{v} C]
section
variable (P : MorphismProperty C)
/-- Given a class of morphisms `P`, this is the class of pullbacks
of morphisms in `P`. -/
def pullbacks : MorphismProperty C := fun A B q ↦
∃ (X Y : C) (p : X ⟶ Y) (f : A ⟶ X) (g : B ⟶ Y) (_ : P p),
IsPullback f q p g
lemma pullbacks_mk {A B X Y : C} {f : A ⟶ X} {q : A ⟶ B} {p : X ⟶ Y} {g : B ⟶ Y}
(sq : IsPullback f q p g) (hp : P p) :
P.pullbacks q :=
⟨_, _, _, _, _, hp, sq⟩
lemma le_pullbacks : P ≤ P.pullbacks := by
intro A B q hq
exact P.pullbacks_mk IsPullback.of_id_fst hq
lemma pullbacks_monotone : Monotone (pullbacks (C := C)) := by
rintro _ _ h _ _ _ ⟨_, _, _, _, _, hp, sq⟩
exact ⟨_, _, _, _, _, h _ hp, sq⟩
/-- Given a class of morphisms `P`, this is the class of pushouts
of morphisms in `P`. -/
def pushouts : MorphismProperty C := fun X Y q ↦
∃ (A B : C) (p : A ⟶ B) (f : A ⟶ X) (g : B ⟶ Y) (_ : P p),
IsPushout f p q g
lemma pushouts_mk {A B X Y : C} {f : A ⟶ X} {q : A ⟶ B} {p : X ⟶ Y} {g : B ⟶ Y}
(sq : IsPushout f q p g) (hq : P q) :
P.pushouts p :=
⟨_, _, _, _, _, hq, sq⟩
lemma le_pushouts : P ≤ P.pushouts := by
intro X Y p hp
exact P.pushouts_mk IsPushout.of_id_fst hp
lemma pushouts_monotone : Monotone (pushouts (C := C)) := by
rintro _ _ h _ _ _ ⟨_, _, _, _, _, hp, sq⟩
exact ⟨_, _, _, _, _, h _ hp, sq⟩
instance : P.pushouts.RespectsIso :=
RespectsIso.of_respects_arrow_iso _ (by
rintro q q' e ⟨A, B, p, f, g, hp, h⟩
exact ⟨A, B, p, f ≫ e.hom.left, g ≫ e.hom.right, hp,
| IsPushout.paste_horiz h (IsPushout.of_horiz_isIso ⟨e.hom.w⟩)⟩)
instance : P.pullbacks.RespectsIso :=
RespectsIso.of_respects_arrow_iso _ (by
rintro q q' e ⟨X, Y, p, f, g, hp, h⟩
exact ⟨X, Y, p, e.inv.left ≫ f, e.inv.right ≫ g, hp,
IsPullback.paste_horiz (IsPullback.of_horiz_isIso ⟨e.inv.w⟩) h⟩)
/-- If `P : MorphismPropety C` is such that any object in `C` maps to the
target of some morphism in `P`, then `P.pushouts` contains the isomorphisms. -/
| Mathlib/CategoryTheory/MorphismProperty/Limits.lean | 83 | 92 |
/-
Copyright (c) 2021 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison
-/
import Mathlib.Data.Complex.Norm
/-!
# The partial order on the complex numbers
This order is defined by `z ≤ w ↔ z.re ≤ w.re ∧ z.im = w.im`.
This is a natural order on `ℂ` because, as is well-known, there does not exist an order on `ℂ`
making it into a `LinearOrderedField`. However, the order described above is the canonical order
stemming from the structure of `ℂ` as a ⋆-ring (i.e., it becomes a `StarOrderedRing`). Moreover,
with this order `ℂ` is a `StrictOrderedCommRing` and the coercion `(↑) : ℝ → ℂ` is an order
embedding.
This file only provides `Complex.partialOrder` and lemmas about it. Further structural classes are
provided by `Mathlib/Data/RCLike/Basic.lean` as
* `RCLike.toStrictOrderedCommRing`
* `RCLike.toStarOrderedRing`
* `RCLike.toOrderedSMul`
These are all only available with `open scoped ComplexOrder`.
-/
namespace Complex
/-- We put a partial order on ℂ so that `z ≤ w` exactly if `w - z` is real and nonnegative.
Complex numbers with different imaginary parts are incomparable.
-/
protected def partialOrder : PartialOrder ℂ where
le z w := z.re ≤ w.re ∧ z.im = w.im
lt z w := z.re < w.re ∧ z.im = w.im
lt_iff_le_not_le z w := by
rw [lt_iff_le_not_le]
tauto
le_refl _ := ⟨le_rfl, rfl⟩
le_trans _ _ _ h₁ h₂ := ⟨h₁.1.trans h₂.1, h₁.2.trans h₂.2⟩
le_antisymm _ _ h₁ h₂ := ext (h₁.1.antisymm h₂.1) h₁.2
namespace _root_.ComplexOrder
scoped[ComplexOrder] attribute [instance] Complex.partialOrder
end _root_.ComplexOrder
open ComplexOrder
theorem le_def {z w : ℂ} : z ≤ w ↔ z.re ≤ w.re ∧ z.im = w.im :=
Iff.rfl
theorem lt_def {z w : ℂ} : z < w ↔ z.re < w.re ∧ z.im = w.im :=
Iff.rfl
theorem nonneg_iff {z : ℂ} : 0 ≤ z ↔ 0 ≤ z.re ∧ 0 = z.im :=
le_def
theorem pos_iff {z : ℂ} : 0 < z ↔ 0 < z.re ∧ 0 = z.im :=
lt_def
theorem nonpos_iff {z : ℂ} : z ≤ 0 ↔ z.re ≤ 0 ∧ z.im = 0 :=
le_def
theorem neg_iff {z : ℂ} : z < 0 ↔ z.re < 0 ∧ z.im = 0 :=
lt_def
| @[simp, norm_cast]
| Mathlib/Data/Complex/Order.lean | 70 | 70 |
/-
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.Data.Nat.ModEq
/-!
# Congruences modulo an integer
This file defines the equivalence relation `a ≡ b [ZMOD n]` on the integers, similarly to how
`Data.Nat.ModEq` defines them for the natural numbers. The notation is short for `n.ModEq a b`,
which is defined to be `a % n = b % n` for integers `a b n`.
## Tags
modeq, congruence, mod, MOD, modulo, integers
-/
namespace Int
/-- `a ≡ b [ZMOD n]` when `a % n = b % n`. -/
def ModEq (n a b : ℤ) :=
a % n = b % n
@[inherit_doc]
notation:50 a " ≡ " b " [ZMOD " n "]" => ModEq n a b
variable {m n a b c d : ℤ}
instance : Decidable (ModEq n a b) := decEq (a % n) (b % n)
namespace ModEq
@[refl, simp]
protected theorem refl (a : ℤ) : a ≡ a [ZMOD n] :=
@rfl _ _
protected theorem rfl : a ≡ a [ZMOD n] :=
ModEq.refl _
instance : IsRefl _ (ModEq n) :=
⟨ModEq.refl⟩
@[symm]
protected theorem symm : a ≡ b [ZMOD n] → b ≡ a [ZMOD n] :=
Eq.symm
@[trans]
protected theorem trans : a ≡ b [ZMOD n] → b ≡ c [ZMOD n] → a ≡ c [ZMOD n] :=
Eq.trans
instance : IsTrans ℤ (ModEq n) where
trans := @Int.ModEq.trans n
protected theorem eq : a ≡ b [ZMOD n] → a % n = b % n := id
end ModEq
theorem modEq_comm : a ≡ b [ZMOD n] ↔ b ≡ a [ZMOD n] := ⟨ModEq.symm, ModEq.symm⟩
theorem natCast_modEq_iff {a b n : ℕ} : a ≡ b [ZMOD n] ↔ a ≡ b [MOD n] := by
unfold ModEq Nat.ModEq; rw [← Int.ofNat_inj]; simp [natCast_mod]
theorem modEq_zero_iff_dvd : a ≡ 0 [ZMOD n] ↔ n ∣ a := by
rw [ModEq, zero_emod, dvd_iff_emod_eq_zero]
theorem _root_.Dvd.dvd.modEq_zero_int (h : n ∣ a) : a ≡ 0 [ZMOD n] :=
modEq_zero_iff_dvd.2 h
theorem _root_.Dvd.dvd.zero_modEq_int (h : n ∣ a) : 0 ≡ a [ZMOD n] :=
h.modEq_zero_int.symm
theorem modEq_iff_dvd : a ≡ b [ZMOD n] ↔ n ∣ b - a := by
rw [ModEq, eq_comm]
simp [emod_eq_emod_iff_emod_sub_eq_zero, dvd_iff_emod_eq_zero]
theorem modEq_iff_add_fac {a b n : ℤ} : a ≡ b [ZMOD n] ↔ ∃ t, b = a + n * t := by
rw [modEq_iff_dvd]
exact exists_congr fun t => sub_eq_iff_eq_add'
alias ⟨ModEq.dvd, modEq_of_dvd⟩ := modEq_iff_dvd
theorem mod_modEq (a n) : a % n ≡ a [ZMOD n] :=
emod_emod _ _
@[simp]
theorem neg_modEq_neg : -a ≡ -b [ZMOD n] ↔ a ≡ b [ZMOD n] := by
simp only [modEq_iff_dvd, (by omega : -b - -a = -(b - a)), Int.dvd_neg]
@[simp]
theorem modEq_neg : a ≡ b [ZMOD -n] ↔ a ≡ b [ZMOD n] := by simp [modEq_iff_dvd]
namespace ModEq
protected theorem of_dvd (d : m ∣ n) (h : a ≡ b [ZMOD n]) : a ≡ b [ZMOD m] :=
modEq_iff_dvd.2 <| d.trans h.dvd
protected theorem mul_left' (h : a ≡ b [ZMOD n]) : c * a ≡ c * b [ZMOD c * n] := by
obtain hc | rfl | hc := lt_trichotomy c 0
· rw [← neg_modEq_neg, ← modEq_neg, ← Int.neg_mul, ← Int.neg_mul, ← Int.neg_mul]
simp only [ModEq, mul_emod_mul_of_pos _ _ (neg_pos.2 hc), h.eq]
· simp only [Int.zero_mul, ModEq.rfl]
· simp only [ModEq, mul_emod_mul_of_pos _ _ hc, h.eq]
protected theorem mul_right' (h : a ≡ b [ZMOD n]) : a * c ≡ b * c [ZMOD n * c] := by
rw [mul_comm a, mul_comm b, mul_comm n]; exact h.mul_left'
@[gcongr]
protected theorem add (h₁ : a ≡ b [ZMOD n]) (h₂ : c ≡ d [ZMOD n]) : a + c ≡ b + d [ZMOD n] :=
modEq_iff_dvd.2 <| by convert Int.dvd_add h₁.dvd h₂.dvd using 1; omega
@[gcongr] protected theorem add_left (c : ℤ) (h : a ≡ b [ZMOD n]) : c + a ≡ c + b [ZMOD n] :=
ModEq.rfl.add h
@[gcongr] protected theorem add_right (c : ℤ) (h : a ≡ b [ZMOD n]) : a + c ≡ b + c [ZMOD n] :=
h.add ModEq.rfl
protected theorem add_left_cancel (h₁ : a ≡ b [ZMOD n]) (h₂ : a + c ≡ b + d [ZMOD n]) :
c ≡ d [ZMOD n] :=
have : d - c = b + d - (a + c) - (b - a) := by omega
modEq_iff_dvd.2 <| by
rw [this]
exact Int.dvd_sub h₂.dvd h₁.dvd
protected theorem add_left_cancel' (c : ℤ) (h : c + a ≡ c + b [ZMOD n]) : a ≡ b [ZMOD n] :=
ModEq.rfl.add_left_cancel h
protected theorem add_right_cancel (h₁ : c ≡ d [ZMOD n]) (h₂ : a + c ≡ b + d [ZMOD n]) :
a ≡ b [ZMOD n] := by
rw [add_comm a, add_comm b] at h₂
exact h₁.add_left_cancel h₂
protected theorem add_right_cancel' (c : ℤ) (h : a + c ≡ b + c [ZMOD n]) : a ≡ b [ZMOD n] :=
ModEq.rfl.add_right_cancel h
@[gcongr] protected theorem neg (h : a ≡ b [ZMOD n]) : -a ≡ -b [ZMOD n] :=
h.add_left_cancel (by simp_rw [← sub_eq_add_neg, sub_self]; rfl)
@[gcongr]
protected theorem sub (h₁ : a ≡ b [ZMOD n]) (h₂ : c ≡ d [ZMOD n]) : a - c ≡ b - d [ZMOD n] := by
rw [sub_eq_add_neg, sub_eq_add_neg]
exact h₁.add h₂.neg
@[gcongr] protected theorem sub_left (c : ℤ) (h : a ≡ b [ZMOD n]) : c - a ≡ c - b [ZMOD n] :=
ModEq.rfl.sub h
@[gcongr] protected theorem sub_right (c : ℤ) (h : a ≡ b [ZMOD n]) : a - c ≡ b - c [ZMOD n] :=
| h.sub ModEq.rfl
@[gcongr] protected theorem mul_left (c : ℤ) (h : a ≡ b [ZMOD n]) : c * a ≡ c * b [ZMOD n] :=
h.mul_left'.of_dvd <| dvd_mul_left _ _
@[gcongr] protected theorem mul_right (c : ℤ) (h : a ≡ b [ZMOD n]) : a * c ≡ b * c [ZMOD n] :=
| Mathlib/Data/Int/ModEq.lean | 152 | 157 |
/-
Copyright (c) 2022 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.ParametricIntegral
import Mathlib.MeasureTheory.Integral.Prod
import Mathlib.MeasureTheory.Function.LocallyIntegrable
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Group.Prod
import Mathlib.MeasureTheory.Integral.IntervalIntegral.Basic
/-!
# Convolution of functions
This file defines the convolution on two functions, i.e. `x ↦ ∫ f(t)g(x - t) ∂t`.
In the general case, these functions can be vector-valued, and have an arbitrary (additive)
group as domain. We use a continuous bilinear operation `L` on these function values as
"multiplication". The domain must be equipped with a Haar measure `μ`
(though many individual results have weaker conditions on `μ`).
For many applications we can take `L = ContinuousLinearMap.lsmul ℝ ℝ` or
`L = ContinuousLinearMap.mul ℝ ℝ`.
We also define `ConvolutionExists` and `ConvolutionExistsAt` to state that the convolution is
well-defined (everywhere or at a single point). These conditions are needed for pointwise
computations (e.g. `ConvolutionExistsAt.distrib_add`), but are generally not strong enough for any
local (or global) properties of the convolution. For this we need stronger assumptions on `f`
and/or `g`, and generally if we impose stronger conditions on one of the functions, we can impose
weaker conditions on the other.
We have proven many of the properties of the convolution assuming one of these functions
has compact support (in which case the other function only needs to be locally integrable).
We still need to prove the properties for other pairs of conditions (e.g. both functions are
rapidly decreasing)
# Design Decisions
We use a bilinear map `L` to "multiply" the two functions in the integrand.
This generality has several advantages
* This allows us to compute the total derivative of the convolution, in case the functions are
multivariate. The total derivative is again a convolution, but where the codomains of the
functions can be higher-dimensional. See `HasCompactSupport.hasFDerivAt_convolution_right`.
* This allows us to use `@[to_additive]` everywhere (which would not be possible if we would use
`mul`/`smul` in the integral, since `@[to_additive]` will incorrectly also try to additivize
those definitions).
* We need to support the case where at least one of the functions is vector-valued, but if we use
`smul` to multiply the functions, that would be an asymmetric definition.
# Main Definitions
* `MeasureTheory.convolution f g L μ x = (f ⋆[L, μ] g) x = ∫ t, L (f t) (g (x - t)) ∂μ`
is the convolution of `f` and `g` w.r.t. the continuous bilinear map `L` and measure `μ`.
* `MeasureTheory.ConvolutionExistsAt f g x L μ` states that the convolution `(f ⋆[L, μ] g) x`
is well-defined (i.e. the integral exists).
* `MeasureTheory.ConvolutionExists f g L μ` states that the convolution `f ⋆[L, μ] g`
is well-defined at each point.
# Main Results
* `HasCompactSupport.hasFDerivAt_convolution_right` and
`HasCompactSupport.hasFDerivAt_convolution_left`: we can compute the total derivative
of the convolution as a convolution with the total derivative of the right (left) function.
* `HasCompactSupport.contDiff_convolution_right` and
`HasCompactSupport.contDiff_convolution_left`: the convolution is `𝒞ⁿ` if one of the functions
is `𝒞ⁿ` with compact support and the other function in locally integrable.
Versions of these statements for functions depending on a parameter are also given.
* `MeasureTheory.convolution_tendsto_right`: Given a sequence of nonnegative normalized functions
whose support tends to a small neighborhood around `0`, the convolution tends to the right
argument. This is specialized to bump functions in `ContDiffBump.convolution_tendsto_right`.
# Notation
The following notations are localized in the locale `Convolution`:
* `f ⋆[L, μ] g` for the convolution. Note: you have to use parentheses to apply the convolution
to an argument: `(f ⋆[L, μ] g) x`.
* `f ⋆[L] g := f ⋆[L, volume] g`
* `f ⋆ g := f ⋆[lsmul ℝ ℝ] g`
# To do
* Existence and (uniform) continuity of the convolution if
one of the maps is in `ℒ^p` and the other in `ℒ^q` with `1 / p + 1 / q = 1`.
This might require a generalization of `MeasureTheory.MemLp.smul` where `smul` is generalized
to a continuous bilinear map.
(see e.g. [Fremlin, *Measure Theory* (volume 2)][fremlin_vol2], 255K)
* The convolution is an `AEStronglyMeasurable` function
(see e.g. [Fremlin, *Measure Theory* (volume 2)][fremlin_vol2], 255I).
* Prove properties about the convolution if both functions are rapidly decreasing.
* Use `@[to_additive]` everywhere (this likely requires changes in `to_additive`)
-/
open Set Function Filter MeasureTheory MeasureTheory.Measure TopologicalSpace
open Bornology ContinuousLinearMap Metric Topology
open scoped Pointwise NNReal Filter
universe u𝕜 uG uE uE' uE'' uF uF' uF'' uP
variable {𝕜 : Type u𝕜} {G : Type uG} {E : Type uE} {E' : Type uE'} {E'' : Type uE''} {F : Type uF}
{F' : Type uF'} {F'' : Type uF''} {P : Type uP}
variable [NormedAddCommGroup E] [NormedAddCommGroup E'] [NormedAddCommGroup E'']
[NormedAddCommGroup F] {f f' : G → E} {g g' : G → E'} {x x' : G} {y y' : E}
namespace MeasureTheory
section NontriviallyNormedField
variable [NontriviallyNormedField 𝕜]
variable [NormedSpace 𝕜 E] [NormedSpace 𝕜 E'] [NormedSpace 𝕜 E''] [NormedSpace 𝕜 F]
variable (L : E →L[𝕜] E' →L[𝕜] F)
section NoMeasurability
variable [AddGroup G] [TopologicalSpace G]
theorem convolution_integrand_bound_right_of_le_of_subset {C : ℝ} (hC : ∀ i, ‖g i‖ ≤ C) {x t : G}
{s u : Set G} (hx : x ∈ s) (hu : -tsupport g + s ⊆ u) :
‖L (f t) (g (x - t))‖ ≤ u.indicator (fun t => ‖L‖ * ‖f t‖ * C) t := by
-- Porting note: had to add `f := _`
refine le_indicator (f := fun t ↦ ‖L (f t) (g (x - t))‖) (fun t _ => ?_) (fun t ht => ?_) t
· apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl]
· have : x - t ∉ support g := by
refine mt (fun hxt => hu ?_) ht
refine ⟨_, Set.neg_mem_neg.mpr (subset_closure hxt), _, hx, ?_⟩
simp only [neg_sub, sub_add_cancel]
simp only [nmem_support.mp this, (L _).map_zero, norm_zero, le_rfl]
theorem _root_.HasCompactSupport.convolution_integrand_bound_right_of_subset
(hcg : HasCompactSupport g) (hg : Continuous g)
{x t : G} {s u : Set G} (hx : x ∈ s) (hu : -tsupport g + s ⊆ u) :
‖L (f t) (g (x - t))‖ ≤ u.indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i, ‖g i‖) t := by
refine convolution_integrand_bound_right_of_le_of_subset _ (fun i => ?_) hx hu
exact le_ciSup (hg.norm.bddAbove_range_of_hasCompactSupport hcg.norm) _
theorem _root_.HasCompactSupport.convolution_integrand_bound_right (hcg : HasCompactSupport g)
(hg : Continuous g) {x t : G} {s : Set G} (hx : x ∈ s) :
‖L (f t) (g (x - t))‖ ≤ (-tsupport g + s).indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i, ‖g i‖) t :=
hcg.convolution_integrand_bound_right_of_subset L hg hx Subset.rfl
theorem _root_.Continuous.convolution_integrand_fst [ContinuousSub G] (hg : Continuous g) (t : G) :
Continuous fun x => L (f t) (g (x - t)) :=
L.continuous₂.comp₂ continuous_const <| hg.comp <| continuous_id.sub continuous_const
theorem _root_.HasCompactSupport.convolution_integrand_bound_left (hcf : HasCompactSupport f)
(hf : Continuous f) {x t : G} {s : Set G} (hx : x ∈ s) :
‖L (f (x - t)) (g t)‖ ≤
(-tsupport f + s).indicator (fun t => (‖L‖ * ⨆ i, ‖f i‖) * ‖g t‖) t := by
convert hcf.convolution_integrand_bound_right L.flip hf hx using 1
simp_rw [L.opNorm_flip, mul_right_comm]
end NoMeasurability
section Measurability
variable [MeasurableSpace G] {μ ν : Measure G}
/-- The convolution of `f` and `g` exists at `x` when the function `t ↦ L (f t) (g (x - t))` is
integrable. There are various conditions on `f` and `g` to prove this. -/
def ConvolutionExistsAt [Sub G] (f : G → E) (g : G → E') (x : G) (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : Prop :=
Integrable (fun t => L (f t) (g (x - t))) μ
/-- The convolution of `f` and `g` exists when the function `t ↦ L (f t) (g (x - t))` is integrable
for all `x : G`. There are various conditions on `f` and `g` to prove this. -/
def ConvolutionExists [Sub G] (f : G → E) (g : G → E') (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : Prop :=
∀ x : G, ConvolutionExistsAt f g x L μ
section ConvolutionExists
variable {L} in
theorem ConvolutionExistsAt.integrable [Sub G] {x : G} (h : ConvolutionExistsAt f g x L μ) :
Integrable (fun t => L (f t) (g (x - t))) μ :=
h
section Group
variable [AddGroup G]
theorem AEStronglyMeasurable.convolution_integrand' [MeasurableAdd₂ G]
[MeasurableNeg G] (hf : AEStronglyMeasurable f ν)
(hg : AEStronglyMeasurable g <| map (fun p : G × G => p.1 - p.2) (μ.prod ν)) :
AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
L.aestronglyMeasurable_comp₂ hf.snd <| hg.comp_measurable measurable_sub
section
variable [MeasurableAdd G] [MeasurableNeg G]
theorem AEStronglyMeasurable.convolution_integrand_snd'
(hf : AEStronglyMeasurable f μ) {x : G}
(hg : AEStronglyMeasurable g <| map (fun t => x - t) μ) :
AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ :=
L.aestronglyMeasurable_comp₂ hf <| hg.comp_measurable <| measurable_id.const_sub x
theorem AEStronglyMeasurable.convolution_integrand_swap_snd' {x : G}
(hf : AEStronglyMeasurable f <| map (fun t => x - t) μ) (hg : AEStronglyMeasurable g μ) :
AEStronglyMeasurable (fun t => L (f (x - t)) (g t)) μ :=
L.aestronglyMeasurable_comp₂ (hf.comp_measurable <| measurable_id.const_sub x) hg
/-- A sufficient condition to prove that `f ⋆[L, μ] g` exists.
We assume that `f` is integrable on a set `s` and `g` is bounded and ae strongly measurable
on `x₀ - s` (note that both properties hold if `g` is continuous with compact support). -/
theorem _root_.BddAbove.convolutionExistsAt' {x₀ : G} {s : Set G}
(hbg : BddAbove ((fun i => ‖g i‖) '' ((fun t => -t + x₀) ⁻¹' s))) (hs : MeasurableSet s)
(h2s : (support fun t => L (f t) (g (x₀ - t))) ⊆ s) (hf : IntegrableOn f s μ)
(hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) (μ.restrict s)) :
ConvolutionExistsAt f g x₀ L μ := by
rw [ConvolutionExistsAt]
rw [← integrableOn_iff_integrable_of_support_subset h2s]
set s' := (fun t => -t + x₀) ⁻¹' s
have : ∀ᵐ t : G ∂μ.restrict s,
‖L (f t) (g (x₀ - t))‖ ≤ s.indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i : s', ‖g i‖) t := by
filter_upwards
refine le_indicator (fun t ht => ?_) fun t ht => ?_
· apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl]
refine (le_ciSup_set hbg <| mem_preimage.mpr ?_)
rwa [neg_sub, sub_add_cancel]
· have : t ∉ support fun t => L (f t) (g (x₀ - t)) := mt (fun h => h2s h) ht
rw [nmem_support.mp this, norm_zero]
refine Integrable.mono' ?_ ?_ this
· rw [integrable_indicator_iff hs]; exact ((hf.norm.const_mul _).mul_const _).integrableOn
· exact hf.aestronglyMeasurable.convolution_integrand_snd' L hmg
/-- If `‖f‖ *[μ] ‖g‖` exists, then `f *[L, μ] g` exists. -/
theorem ConvolutionExistsAt.of_norm' {x₀ : G}
(h : ConvolutionExistsAt (fun x => ‖f x‖) (fun x => ‖g x‖) x₀ (mul ℝ ℝ) μ)
(hmf : AEStronglyMeasurable f μ) (hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) μ) :
ConvolutionExistsAt f g x₀ L μ := by
refine (h.const_mul ‖L‖).mono'
(hmf.convolution_integrand_snd' L hmg) (Eventually.of_forall fun x => ?_)
rw [mul_apply', ← mul_assoc]
apply L.le_opNorm₂
@[deprecated (since := "2025-02-07")]
alias ConvolutionExistsAt.ofNorm' := ConvolutionExistsAt.of_norm'
end
section Left
variable [MeasurableAdd₂ G] [MeasurableNeg G] [SFinite μ] [IsAddRightInvariant μ]
theorem AEStronglyMeasurable.convolution_integrand_snd (hf : AEStronglyMeasurable f μ)
(hg : AEStronglyMeasurable g μ) (x : G) :
AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ :=
hf.convolution_integrand_snd' L <|
hg.mono_ac <| (quasiMeasurePreserving_sub_left_of_right_invariant μ x).absolutelyContinuous
theorem AEStronglyMeasurable.convolution_integrand_swap_snd
(hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (x : G) :
AEStronglyMeasurable (fun t => L (f (x - t)) (g t)) μ :=
(hf.mono_ac
(quasiMeasurePreserving_sub_left_of_right_invariant μ
x).absolutelyContinuous).convolution_integrand_swap_snd'
L hg
/-- If `‖f‖ *[μ] ‖g‖` exists, then `f *[L, μ] g` exists. -/
theorem ConvolutionExistsAt.of_norm {x₀ : G}
(h : ConvolutionExistsAt (fun x => ‖f x‖) (fun x => ‖g x‖) x₀ (mul ℝ ℝ) μ)
(hmf : AEStronglyMeasurable f μ) (hmg : AEStronglyMeasurable g μ) :
ConvolutionExistsAt f g x₀ L μ :=
h.of_norm' L hmf <|
hmg.mono_ac (quasiMeasurePreserving_sub_left_of_right_invariant μ x₀).absolutelyContinuous
@[deprecated (since := "2025-02-07")]
alias ConvolutionExistsAt.ofNorm := ConvolutionExistsAt.of_norm
end Left
section Right
variable [MeasurableAdd₂ G] [MeasurableNeg G] [SFinite μ] [IsAddRightInvariant μ] [SFinite ν]
theorem AEStronglyMeasurable.convolution_integrand (hf : AEStronglyMeasurable f ν)
(hg : AEStronglyMeasurable g μ) :
AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
hf.convolution_integrand' L <|
hg.mono_ac (quasiMeasurePreserving_sub_of_right_invariant μ ν).absolutelyContinuous
theorem Integrable.convolution_integrand (hf : Integrable f ν) (hg : Integrable g μ) :
Integrable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) := by
have h_meas : AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) :=
hf.aestronglyMeasurable.convolution_integrand L hg.aestronglyMeasurable
have h2_meas : AEStronglyMeasurable (fun y : G => ∫ x : G, ‖L (f y) (g (x - y))‖ ∂μ) ν :=
h_meas.prod_swap.norm.integral_prod_right'
simp_rw [integrable_prod_iff' h_meas]
refine ⟨Eventually.of_forall fun t => (L (f t)).integrable_comp (hg.comp_sub_right t), ?_⟩
refine Integrable.mono' ?_ h2_meas
(Eventually.of_forall fun t => (?_ : _ ≤ ‖L‖ * ‖f t‖ * ∫ x, ‖g (x - t)‖ ∂μ))
· simp only [integral_sub_right_eq_self (‖g ·‖)]
exact (hf.norm.const_mul _).mul_const _
· simp_rw [← integral_const_mul]
rw [Real.norm_of_nonneg (by positivity)]
exact integral_mono_of_nonneg (Eventually.of_forall fun t => norm_nonneg _)
((hg.comp_sub_right t).norm.const_mul _) (Eventually.of_forall fun t => L.le_opNorm₂ _ _)
theorem Integrable.ae_convolution_exists (hf : Integrable f ν) (hg : Integrable g μ) :
∀ᵐ x ∂μ, ConvolutionExistsAt f g x L ν :=
((integrable_prod_iff <|
hf.aestronglyMeasurable.convolution_integrand L hg.aestronglyMeasurable).mp <|
hf.convolution_integrand L hg).1
end Right
variable [TopologicalSpace G] [IsTopologicalAddGroup G] [BorelSpace G]
theorem _root_.HasCompactSupport.convolutionExistsAt {x₀ : G}
(h : HasCompactSupport fun t => L (f t) (g (x₀ - t))) (hf : LocallyIntegrable f μ)
(hg : Continuous g) : ConvolutionExistsAt f g x₀ L μ := by
let u := (Homeomorph.neg G).trans (Homeomorph.addRight x₀)
let v := (Homeomorph.neg G).trans (Homeomorph.addLeft x₀)
apply ((u.isCompact_preimage.mpr h).bddAbove_image hg.norm.continuousOn).convolutionExistsAt' L
isClosed_closure.measurableSet subset_closure (hf.integrableOn_isCompact h)
have A : AEStronglyMeasurable (g ∘ v)
(μ.restrict (tsupport fun t : G => L (f t) (g (x₀ - t)))) := by
apply (hg.comp v.continuous).continuousOn.aestronglyMeasurable_of_isCompact h
exact (isClosed_tsupport _).measurableSet
convert ((v.continuous.measurable.measurePreserving
(μ.restrict (tsupport fun t => L (f t) (g (x₀ - t))))).aestronglyMeasurable_comp_iff
v.measurableEmbedding).1 A
ext x
simp only [v, Homeomorph.neg, sub_eq_add_neg, val_toAddUnits_apply, Homeomorph.trans_apply,
Equiv.neg_apply, Equiv.toFun_as_coe, Homeomorph.homeomorph_mk_coe, Equiv.coe_fn_mk,
Homeomorph.coe_addLeft]
theorem _root_.HasCompactSupport.convolutionExists_right (hcg : HasCompactSupport g)
(hf : LocallyIntegrable f μ) (hg : Continuous g) : ConvolutionExists f g L μ := by
intro x₀
refine HasCompactSupport.convolutionExistsAt L ?_ hf hg
refine (hcg.comp_homeomorph (Homeomorph.subLeft x₀)).mono ?_
refine fun t => mt fun ht : g (x₀ - t) = 0 => ?_
simp_rw [ht, (L _).map_zero]
theorem _root_.HasCompactSupport.convolutionExists_left_of_continuous_right
(hcf : HasCompactSupport f) (hf : LocallyIntegrable f μ) (hg : Continuous g) :
ConvolutionExists f g L μ := by
intro x₀
refine HasCompactSupport.convolutionExistsAt L ?_ hf hg
refine hcf.mono ?_
refine fun t => mt fun ht : f t = 0 => ?_
simp_rw [ht, L.map_zero₂]
end Group
section CommGroup
variable [AddCommGroup G]
section MeasurableGroup
variable [MeasurableNeg G] [IsAddLeftInvariant μ]
/-- A sufficient condition to prove that `f ⋆[L, μ] g` exists.
We assume that the integrand has compact support and `g` is bounded on this support (note that
both properties hold if `g` is continuous with compact support). We also require that `f` is
integrable on the support of the integrand, and that both functions are strongly measurable.
This is a variant of `BddAbove.convolutionExistsAt'` in an abelian group with a left-invariant
measure. This allows us to state the boundedness and measurability of `g` in a more natural way. -/
theorem _root_.BddAbove.convolutionExistsAt [MeasurableAdd₂ G] [SFinite μ] {x₀ : G} {s : Set G}
(hbg : BddAbove ((fun i => ‖g i‖) '' ((fun t => x₀ - t) ⁻¹' s))) (hs : MeasurableSet s)
(h2s : (support fun t => L (f t) (g (x₀ - t))) ⊆ s) (hf : IntegrableOn f s μ)
(hmg : AEStronglyMeasurable g μ) : ConvolutionExistsAt f g x₀ L μ := by
refine BddAbove.convolutionExistsAt' L ?_ hs h2s hf ?_
· simp_rw [← sub_eq_neg_add, hbg]
· have : AEStronglyMeasurable g (map (fun t : G => x₀ - t) μ) :=
hmg.mono_ac (quasiMeasurePreserving_sub_left_of_right_invariant μ x₀).absolutelyContinuous
apply this.mono_measure
exact map_mono restrict_le_self (measurable_const.sub measurable_id')
variable {L} [MeasurableAdd G] [IsNegInvariant μ]
theorem convolutionExistsAt_flip :
ConvolutionExistsAt g f x L.flip μ ↔ ConvolutionExistsAt f g x L μ := by
simp_rw [ConvolutionExistsAt, ← integrable_comp_sub_left (fun t => L (f t) (g (x - t))) x,
sub_sub_cancel, flip_apply]
theorem ConvolutionExistsAt.integrable_swap (h : ConvolutionExistsAt f g x L μ) :
Integrable (fun t => L (f (x - t)) (g t)) μ := by
convert h.comp_sub_left x
simp_rw [sub_sub_self]
theorem convolutionExistsAt_iff_integrable_swap :
ConvolutionExistsAt f g x L μ ↔ Integrable (fun t => L (f (x - t)) (g t)) μ :=
convolutionExistsAt_flip.symm
end MeasurableGroup
variable [TopologicalSpace G] [IsTopologicalAddGroup G] [BorelSpace G]
variable [IsAddLeftInvariant μ] [IsNegInvariant μ]
theorem _root_.HasCompactSupport.convolutionExists_left
(hcf : HasCompactSupport f) (hf : Continuous f)
(hg : LocallyIntegrable g μ) : ConvolutionExists f g L μ := fun x₀ =>
convolutionExistsAt_flip.mp <| hcf.convolutionExists_right L.flip hg hf x₀
@[deprecated (since := "2025-02-06")]
alias _root_.HasCompactSupport.convolutionExistsLeft := HasCompactSupport.convolutionExists_left
theorem _root_.HasCompactSupport.convolutionExists_right_of_continuous_left
(hcg : HasCompactSupport g) (hf : Continuous f) (hg : LocallyIntegrable g μ) :
ConvolutionExists f g L μ := fun x₀ =>
convolutionExistsAt_flip.mp <| hcg.convolutionExists_left_of_continuous_right L.flip hg hf x₀
@[deprecated (since := "2025-02-06")]
alias _root_.HasCompactSupport.convolutionExistsRightOfContinuousLeft :=
HasCompactSupport.convolutionExists_right_of_continuous_left
end CommGroup
end ConvolutionExists
variable [NormedSpace ℝ F]
/-- The convolution of two functions `f` and `g` with respect to a continuous bilinear map `L` and
measure `μ`. It is defined to be `(f ⋆[L, μ] g) x = ∫ t, L (f t) (g (x - t)) ∂μ`. -/
noncomputable def convolution [Sub G] (f : G → E) (g : G → E') (L : E →L[𝕜] E' →L[𝕜] F)
(μ : Measure G := by volume_tac) : G → F := fun x =>
∫ t, L (f t) (g (x - t)) ∂μ
/-- The convolution of two functions with respect to a bilinear operation `L` and a measure `μ`. -/
scoped[Convolution] notation:67 f " ⋆[" L:67 ", " μ:67 "] " g:66 => convolution f g L μ
/-- The convolution of two functions with respect to a bilinear operation `L` and the volume. -/
scoped[Convolution]
notation:67 f " ⋆[" L:67 "]" g:66 => convolution f g L MeasureSpace.volume
/-- The convolution of two real-valued functions with respect to volume. -/
scoped[Convolution]
notation:67 f " ⋆ " g:66 =>
convolution f g (ContinuousLinearMap.lsmul ℝ ℝ) MeasureSpace.volume
open scoped Convolution
theorem convolution_def [Sub G] : (f ⋆[L, μ] g) x = ∫ t, L (f t) (g (x - t)) ∂μ :=
rfl
/-- The definition of convolution where the bilinear operator is scalar multiplication.
Note: it often helps the elaborator to give the type of the convolution explicitly. -/
theorem convolution_lsmul [Sub G] {f : G → 𝕜} {g : G → F} :
(f ⋆[lsmul 𝕜 𝕜, μ] g : G → F) x = ∫ t, f t • g (x - t) ∂μ :=
rfl
/-- The definition of convolution where the bilinear operator is multiplication. -/
theorem convolution_mul [Sub G] [NormedSpace ℝ 𝕜] {f : G → 𝕜} {g : G → 𝕜} :
(f ⋆[mul 𝕜 𝕜, μ] g) x = ∫ t, f t * g (x - t) ∂μ :=
rfl
section Group
variable {L} [AddGroup G]
theorem smul_convolution [SMulCommClass ℝ 𝕜 F] {y : 𝕜} : y • f ⋆[L, μ] g = y • (f ⋆[L, μ] g) := by
ext; simp only [Pi.smul_apply, convolution_def, ← integral_smul, L.map_smul₂]
theorem convolution_smul [SMulCommClass ℝ 𝕜 F] {y : 𝕜} : f ⋆[L, μ] y • g = y • (f ⋆[L, μ] g) := by
ext; simp only [Pi.smul_apply, convolution_def, ← integral_smul, (L _).map_smul]
@[simp]
theorem zero_convolution : 0 ⋆[L, μ] g = 0 := by
ext
simp_rw [convolution_def, Pi.zero_apply, L.map_zero₂, integral_zero]
@[simp]
theorem convolution_zero : f ⋆[L, μ] 0 = 0 := by
ext
simp_rw [convolution_def, Pi.zero_apply, (L _).map_zero, integral_zero]
theorem ConvolutionExistsAt.distrib_add {x : G} (hfg : ConvolutionExistsAt f g x L μ)
(hfg' : ConvolutionExistsAt f g' x L μ) :
(f ⋆[L, μ] (g + g')) x = (f ⋆[L, μ] g) x + (f ⋆[L, μ] g') x := by
simp only [convolution_def, (L _).map_add, Pi.add_apply, integral_add hfg hfg']
theorem ConvolutionExists.distrib_add (hfg : ConvolutionExists f g L μ)
(hfg' : ConvolutionExists f g' L μ) : f ⋆[L, μ] (g + g') = f ⋆[L, μ] g + f ⋆[L, μ] g' := by
ext x
exact (hfg x).distrib_add (hfg' x)
theorem ConvolutionExistsAt.add_distrib {x : G} (hfg : ConvolutionExistsAt f g x L μ)
(hfg' : ConvolutionExistsAt f' g x L μ) :
((f + f') ⋆[L, μ] g) x = (f ⋆[L, μ] g) x + (f' ⋆[L, μ] g) x := by
simp only [convolution_def, L.map_add₂, Pi.add_apply, integral_add hfg hfg']
theorem ConvolutionExists.add_distrib (hfg : ConvolutionExists f g L μ)
(hfg' : ConvolutionExists f' g L μ) : (f + f') ⋆[L, μ] g = f ⋆[L, μ] g + f' ⋆[L, μ] g := by
ext x
exact (hfg x).add_distrib (hfg' x)
theorem convolution_mono_right {f g g' : G → ℝ} (hfg : ConvolutionExistsAt f g x (lsmul ℝ ℝ) μ)
(hfg' : ConvolutionExistsAt f g' x (lsmul ℝ ℝ) μ) (hf : ∀ x, 0 ≤ f x) (hg : ∀ x, g x ≤ g' x) :
(f ⋆[lsmul ℝ ℝ, μ] g) x ≤ (f ⋆[lsmul ℝ ℝ, μ] g') x := by
apply integral_mono hfg hfg'
simp only [lsmul_apply, Algebra.id.smul_eq_mul]
intro t
apply mul_le_mul_of_nonneg_left (hg _) (hf _)
theorem convolution_mono_right_of_nonneg {f g g' : G → ℝ}
(hfg' : ConvolutionExistsAt f g' x (lsmul ℝ ℝ) μ) (hf : ∀ x, 0 ≤ f x) (hg : ∀ x, g x ≤ g' x)
(hg' : ∀ x, 0 ≤ g' x) : (f ⋆[lsmul ℝ ℝ, μ] g) x ≤ (f ⋆[lsmul ℝ ℝ, μ] g') x := by
by_cases H : ConvolutionExistsAt f g x (lsmul ℝ ℝ) μ
· exact convolution_mono_right H hfg' hf hg
have : (f ⋆[lsmul ℝ ℝ, μ] g) x = 0 := integral_undef H
rw [this]
exact integral_nonneg fun y => mul_nonneg (hf y) (hg' (x - y))
variable (L)
theorem convolution_congr [MeasurableAdd₂ G] [MeasurableNeg G] [SFinite μ]
[IsAddRightInvariant μ] (h1 : f =ᵐ[μ] f') (h2 : g =ᵐ[μ] g') : f ⋆[L, μ] g = f' ⋆[L, μ] g' := by
ext x
apply integral_congr_ae
exact (h1.prodMk <| h2.comp_tendsto
(quasiMeasurePreserving_sub_left_of_right_invariant μ x).tendsto_ae).fun_comp ↿fun x y ↦ L x y
theorem support_convolution_subset_swap : support (f ⋆[L, μ] g) ⊆ support g + support f := by
intro x h2x
by_contra hx
apply h2x
simp_rw [Set.mem_add, ← exists_and_left, not_exists, not_and_or, nmem_support] at hx
rw [convolution_def]
convert integral_zero G F using 2
ext t
rcases hx (x - t) t with (h | h | h)
· rw [h, (L _).map_zero]
· rw [h, L.map_zero₂]
· exact (h <| sub_add_cancel x t).elim
section
variable [MeasurableAdd₂ G] [MeasurableNeg G] [SFinite μ] [IsAddRightInvariant μ]
theorem Integrable.integrable_convolution (hf : Integrable f μ)
(hg : Integrable g μ) : Integrable (f ⋆[L, μ] g) μ :=
(hf.convolution_integrand L hg).integral_prod_left
end
variable [TopologicalSpace G]
variable [IsTopologicalAddGroup G]
protected theorem _root_.HasCompactSupport.convolution [T2Space G] (hcf : HasCompactSupport f)
(hcg : HasCompactSupport g) : HasCompactSupport (f ⋆[L, μ] g) :=
(hcg.isCompact.add hcf).of_isClosed_subset isClosed_closure <|
closure_minimal
((support_convolution_subset_swap L).trans <| add_subset_add subset_closure subset_closure)
(hcg.isCompact.add hcf).isClosed
variable [BorelSpace G] [TopologicalSpace P]
/-- The convolution `f * g` is continuous if `f` is locally integrable and `g` is continuous and
compactly supported. Version where `g` depends on an additional parameter in a subset `s` of
a parameter space `P` (and the compact support `k` is independent of the parameter in `s`). -/
theorem continuousOn_convolution_right_with_param {g : P → G → E'} {s : Set P} {k : Set G}
(hk : IsCompact k) (hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0)
(hf : LocallyIntegrable f μ) (hg : ContinuousOn (↿g) (s ×ˢ univ)) :
ContinuousOn (fun q : P × G => (f ⋆[L, μ] g q.1) q.2) (s ×ˢ univ) := by
/- First get rid of the case where the space is not locally compact. Then `g` vanishes everywhere
and the conclusion is trivial. -/
by_cases H : ∀ p ∈ s, ∀ x, g p x = 0
· apply (continuousOn_const (c := 0)).congr
rintro ⟨p, x⟩ ⟨hp, -⟩
apply integral_eq_zero_of_ae (Eventually.of_forall (fun y ↦ ?_))
simp [H p hp _]
have : LocallyCompactSpace G := by
push_neg at H
rcases H with ⟨p, hp, x, hx⟩
have A : support (g p) ⊆ k := support_subset_iff'.2 (fun y hy ↦ hgs p y hp hy)
have B : Continuous (g p) := by
refine hg.comp_continuous (.prodMk_right _) fun x => ?_
simpa only [prodMk_mem_set_prod_eq, mem_univ, and_true] using hp
rcases eq_zero_or_locallyCompactSpace_of_support_subset_isCompact_of_addGroup hk A B with H|H
· simp [H] at hx
· exact H
/- Since `G` is locally compact, one may thicken `k` a little bit into a larger compact set
`(-k) + t`, outside of which all functions that appear in the convolution vanish. Then we can
apply a continuity statement for integrals depending on a parameter, with respect to
locally integrable functions and compactly supported continuous functions. -/
rintro ⟨q₀, x₀⟩ ⟨hq₀, -⟩
obtain ⟨t, t_comp, ht⟩ : ∃ t, IsCompact t ∧ t ∈ 𝓝 x₀ := exists_compact_mem_nhds x₀
let k' : Set G := (-k) +ᵥ t
have k'_comp : IsCompact k' := IsCompact.vadd_set hk.neg t_comp
let g' : (P × G) → G → E' := fun p x ↦ g p.1 (p.2 - x)
let s' : Set (P × G) := s ×ˢ t
have A : ContinuousOn g'.uncurry (s' ×ˢ univ) := by
have : g'.uncurry = g.uncurry ∘ (fun w ↦ (w.1.1, w.1.2 - w.2)) := by ext y; rfl
rw [this]
refine hg.comp (by fun_prop) ?_
simp +contextual [s', MapsTo]
have B : ContinuousOn (fun a ↦ ∫ x, L (f x) (g' a x) ∂μ) s' := by
apply continuousOn_integral_bilinear_of_locally_integrable_of_compact_support L k'_comp A _
(hf.integrableOn_isCompact k'_comp)
rintro ⟨p, x⟩ y ⟨hp, hx⟩ hy
apply hgs p _ hp
contrapose! hy
exact ⟨y - x, by simpa using hy, x, hx, by simp⟩
apply ContinuousWithinAt.mono_of_mem_nhdsWithin (B (q₀, x₀) ⟨hq₀, mem_of_mem_nhds ht⟩)
exact mem_nhdsWithin_prod_iff.2 ⟨s, self_mem_nhdsWithin, t, nhdsWithin_le_nhds ht, Subset.rfl⟩
/-- The convolution `f * g` is continuous if `f` is locally integrable and `g` is continuous and
compactly supported. Version where `g` depends on an additional parameter in an open subset `s` of
a parameter space `P` (and the compact support `k` is independent of the parameter in `s`),
given in terms of compositions with an additional continuous map. -/
theorem continuousOn_convolution_right_with_param_comp {s : Set P} {v : P → G}
(hv : ContinuousOn v s) {g : P → G → E'} {k : Set G} (hk : IsCompact k)
(hgs : ∀ p, ∀ x, p ∈ s → x ∉ k → g p x = 0) (hf : LocallyIntegrable f μ)
(hg : ContinuousOn (↿g) (s ×ˢ univ)) : ContinuousOn (fun x => (f ⋆[L, μ] g x) (v x)) s := by
apply
(continuousOn_convolution_right_with_param L hk hgs hf hg).comp (continuousOn_id.prodMk hv)
intro x hx
simp only [hx, prodMk_mem_set_prod_eq, mem_univ, and_self_iff, _root_.id]
/-- The convolution is continuous if one function is locally integrable and the other has compact
support and is continuous. -/
theorem _root_.HasCompactSupport.continuous_convolution_right (hcg : HasCompactSupport g)
(hf : LocallyIntegrable f μ) (hg : Continuous g) : Continuous (f ⋆[L, μ] g) := by
rw [continuous_iff_continuousOn_univ]
let g' : G → G → E' := fun _ q => g q
have : ContinuousOn (↿g') (univ ×ˢ univ) := (hg.comp continuous_snd).continuousOn
exact continuousOn_convolution_right_with_param_comp L
(continuous_iff_continuousOn_univ.1 continuous_id) hcg
(fun p x _ hx => image_eq_zero_of_nmem_tsupport hx) hf this
/-- The convolution is continuous if one function is integrable and the other is bounded and
continuous. -/
theorem _root_.BddAbove.continuous_convolution_right_of_integrable
[FirstCountableTopology G] [SecondCountableTopologyEither G E']
(hbg : BddAbove (range fun x => ‖g x‖)) (hf : Integrable f μ) (hg : Continuous g) :
Continuous (f ⋆[L, μ] g) := by
refine continuous_iff_continuousAt.mpr fun x₀ => ?_
have : ∀ᶠ x in 𝓝 x₀, ∀ᵐ t : G ∂μ, ‖L (f t) (g (x - t))‖ ≤ ‖L‖ * ‖f t‖ * ⨆ i, ‖g i‖ := by
filter_upwards with x; filter_upwards with t
apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl, le_ciSup hbg (x - t)]
refine continuousAt_of_dominated ?_ this ?_ ?_
· exact Eventually.of_forall fun x =>
hf.aestronglyMeasurable.convolution_integrand_snd' L hg.aestronglyMeasurable
· exact (hf.norm.const_mul _).mul_const _
· exact Eventually.of_forall fun t => (L.continuous₂.comp₂ continuous_const <|
hg.comp <| continuous_id.sub continuous_const).continuousAt
end Group
section CommGroup
variable [AddCommGroup G]
theorem support_convolution_subset : support (f ⋆[L, μ] g) ⊆ support f + support g :=
(support_convolution_subset_swap L).trans (add_comm _ _).subset
variable [IsAddLeftInvariant μ] [IsNegInvariant μ]
section Measurable
variable [MeasurableNeg G]
variable [MeasurableAdd G]
/-- Commutativity of convolution -/
theorem convolution_flip : g ⋆[L.flip, μ] f = f ⋆[L, μ] g := by
ext1 x
simp_rw [convolution_def]
rw [← integral_sub_left_eq_self _ μ x]
simp_rw [sub_sub_self, flip_apply]
/-- The symmetric definition of convolution. -/
theorem convolution_eq_swap : (f ⋆[L, μ] g) x = ∫ t, L (f (x - t)) (g t) ∂μ := by
rw [← convolution_flip]; rfl
/-- The symmetric definition of convolution where the bilinear operator is scalar multiplication. -/
theorem convolution_lsmul_swap {f : G → 𝕜} {g : G → F} :
(f ⋆[lsmul 𝕜 𝕜, μ] g : G → F) x = ∫ t, f (x - t) • g t ∂μ :=
convolution_eq_swap _
/-- The symmetric definition of convolution where the bilinear operator is multiplication. -/
theorem convolution_mul_swap [NormedSpace ℝ 𝕜] {f : G → 𝕜} {g : G → 𝕜} :
(f ⋆[mul 𝕜 𝕜, μ] g) x = ∫ t, f (x - t) * g t ∂μ :=
convolution_eq_swap _
/-- The convolution of two even functions is also even. -/
theorem convolution_neg_of_neg_eq (h1 : ∀ᵐ x ∂μ, f (-x) = f x) (h2 : ∀ᵐ x ∂μ, g (-x) = g x) :
(f ⋆[L, μ] g) (-x) = (f ⋆[L, μ] g) x :=
calc
∫ t : G, (L (f t)) (g (-x - t)) ∂μ = ∫ t : G, (L (f (-t))) (g (x + t)) ∂μ := by
apply integral_congr_ae
filter_upwards [h1, (eventually_add_left_iff μ x).2 h2] with t ht h't
simp_rw [ht, ← h't, neg_add']
_ = ∫ t : G, (L (f t)) (g (x - t)) ∂μ := by
rw [← integral_neg_eq_self]
simp only [neg_neg, ← sub_eq_add_neg]
end Measurable
variable [TopologicalSpace G]
variable [IsTopologicalAddGroup G]
variable [BorelSpace G]
theorem _root_.HasCompactSupport.continuous_convolution_left
(hcf : HasCompactSupport f) (hf : Continuous f) (hg : LocallyIntegrable g μ) :
Continuous (f ⋆[L, μ] g) := by
rw [← convolution_flip]
exact hcf.continuous_convolution_right L.flip hg hf
theorem _root_.BddAbove.continuous_convolution_left_of_integrable
[FirstCountableTopology G] [SecondCountableTopologyEither G E]
(hbf : BddAbove (range fun x => ‖f x‖)) (hf : Continuous f) (hg : Integrable g μ) :
Continuous (f ⋆[L, μ] g) := by
rw [← convolution_flip]
exact hbf.continuous_convolution_right_of_integrable L.flip hg hf
end CommGroup
section NormedAddCommGroup
variable [SeminormedAddCommGroup G]
/-- Compute `(f ⋆ g) x₀` if the support of the `f` is within `Metric.ball 0 R`, and `g` is constant
on `Metric.ball x₀ R`.
We can simplify the RHS further if we assume `f` is integrable, but also if `L = (•)` or more
generally if `L` has an `AntilipschitzWith`-condition. -/
theorem convolution_eq_right' {x₀ : G} {R : ℝ} (hf : support f ⊆ ball (0 : G) R)
(hg : ∀ x ∈ ball x₀ R, g x = g x₀) : (f ⋆[L, μ] g) x₀ = ∫ t, L (f t) (g x₀) ∂μ := by
have h2 : ∀ t, L (f t) (g (x₀ - t)) = L (f t) (g x₀) := fun t ↦ by
by_cases ht : t ∈ support f
· have h2t := hf ht
rw [mem_ball_zero_iff] at h2t
specialize hg (x₀ - t)
rw [sub_eq_add_neg, add_mem_ball_iff_norm, norm_neg, ← sub_eq_add_neg] at hg
rw [hg h2t]
· rw [nmem_support] at ht
simp_rw [ht, L.map_zero₂]
simp_rw [convolution_def, h2]
variable [BorelSpace G] [SecondCountableTopology G]
variable [IsAddLeftInvariant μ] [SFinite μ]
/-- Approximate `(f ⋆ g) x₀` if the support of the `f` is bounded within a ball, and `g` is near
`g x₀` on a ball with the same radius around `x₀`. See `dist_convolution_le` for a special case.
We can simplify the second argument of `dist` further if we add some extra type-classes on `E`
and `𝕜` or if `L` is scalar multiplication. -/
theorem dist_convolution_le' {x₀ : G} {R ε : ℝ} {z₀ : E'} (hε : 0 ≤ ε) (hif : Integrable f μ)
(hf : support f ⊆ ball (0 : G) R) (hmg : AEStronglyMeasurable g μ)
(hg : ∀ x ∈ ball x₀ R, dist (g x) z₀ ≤ ε) :
dist ((f ⋆[L, μ] g : G → F) x₀) (∫ t, L (f t) z₀ ∂μ) ≤ (‖L‖ * ∫ x, ‖f x‖ ∂μ) * ε := by
have hfg : ConvolutionExistsAt f g x₀ L μ := by
refine BddAbove.convolutionExistsAt L ?_ Metric.isOpen_ball.measurableSet (Subset.trans ?_ hf)
hif.integrableOn hmg
swap; · refine fun t => mt fun ht : f t = 0 => ?_; simp_rw [ht, L.map_zero₂]
rw [bddAbove_def]
refine ⟨‖z₀‖ + ε, ?_⟩
rintro _ ⟨x, hx, rfl⟩
refine norm_le_norm_add_const_of_dist_le (hg x ?_)
rwa [mem_ball_iff_norm, norm_sub_rev, ← mem_ball_zero_iff]
have h2 : ∀ t, dist (L (f t) (g (x₀ - t))) (L (f t) z₀) ≤ ‖L (f t)‖ * ε := by
intro t; by_cases ht : t ∈ support f
· have h2t := hf ht
rw [mem_ball_zero_iff] at h2t
specialize hg (x₀ - t)
rw [sub_eq_add_neg, add_mem_ball_iff_norm, norm_neg, ← sub_eq_add_neg] at hg
refine ((L (f t)).dist_le_opNorm _ _).trans ?_
exact mul_le_mul_of_nonneg_left (hg h2t) (norm_nonneg _)
· rw [nmem_support] at ht
simp_rw [ht, L.map_zero₂, L.map_zero, norm_zero, zero_mul, dist_self]
rfl
simp_rw [convolution_def]
simp_rw [dist_eq_norm] at h2 ⊢
rw [← integral_sub hfg.integrable]; swap; · exact (L.flip z₀).integrable_comp hif
refine (norm_integral_le_of_norm_le ((L.integrable_comp hif).norm.mul_const ε)
(Eventually.of_forall h2)).trans ?_
rw [integral_mul_const]
refine mul_le_mul_of_nonneg_right ?_ hε
have h3 : ∀ t, ‖L (f t)‖ ≤ ‖L‖ * ‖f t‖ := by
intro t
exact L.le_opNorm (f t)
refine (integral_mono (L.integrable_comp hif).norm (hif.norm.const_mul _) h3).trans_eq ?_
rw [integral_const_mul]
variable [NormedSpace ℝ E] [NormedSpace ℝ E'] [CompleteSpace E']
/-- Approximate `f ⋆ g` if the support of the `f` is bounded within a ball, and `g` is near `g x₀`
on a ball with the same radius around `x₀`.
This is a special case of `dist_convolution_le'` where `L` is `(•)`, `f` has integral 1 and `f` is
nonnegative. -/
theorem dist_convolution_le {f : G → ℝ} {x₀ : G} {R ε : ℝ} {z₀ : E'} (hε : 0 ≤ ε)
(hf : support f ⊆ ball (0 : G) R) (hnf : ∀ x, 0 ≤ f x) (hintf : ∫ x, f x ∂μ = 1)
(hmg : AEStronglyMeasurable g μ) (hg : ∀ x ∈ ball x₀ R, dist (g x) z₀ ≤ ε) :
dist ((f ⋆[lsmul ℝ ℝ, μ] g : G → E') x₀) z₀ ≤ ε := by
have hif : Integrable f μ := integrable_of_integral_eq_one hintf
convert (dist_convolution_le' (lsmul ℝ ℝ) hε hif hf hmg hg).trans _
· simp_rw [lsmul_apply, integral_smul_const, hintf, one_smul]
· simp_rw [Real.norm_of_nonneg (hnf _), hintf, mul_one]
exact (mul_le_mul_of_nonneg_right opNorm_lsmul_le hε).trans_eq (one_mul ε)
/-- `(φ i ⋆ g i) (k i)` tends to `z₀` as `i` tends to some filter `l` if
* `φ` is a sequence of nonnegative functions with integral `1` as `i` tends to `l`;
* The support of `φ` tends to small neighborhoods around `(0 : G)` as `i` tends to `l`;
* `g i` is `mu`-a.e. strongly measurable as `i` tends to `l`;
* `g i x` tends to `z₀` as `(i, x)` tends to `l ×ˢ 𝓝 x₀`;
* `k i` tends to `x₀`.
See also `ContDiffBump.convolution_tendsto_right`.
-/
theorem convolution_tendsto_right {ι} {g : ι → G → E'} {l : Filter ι} {x₀ : G} {z₀ : E'}
{φ : ι → G → ℝ} {k : ι → G} (hnφ : ∀ᶠ i in l, ∀ x, 0 ≤ φ i x)
(hiφ : ∀ᶠ i in l, ∫ x, φ i x ∂μ = 1)
-- todo: we could weaken this to "the integral tends to 1"
(hφ : Tendsto (fun n => support (φ n)) l (𝓝 0).smallSets)
(hmg : ∀ᶠ i in l, AEStronglyMeasurable (g i) μ) (hcg : Tendsto (uncurry g) (l ×ˢ 𝓝 x₀) (𝓝 z₀))
(hk : Tendsto k l (𝓝 x₀)) :
Tendsto (fun i : ι => (φ i ⋆[lsmul ℝ ℝ, μ] g i : G → E') (k i)) l (𝓝 z₀) := by
simp_rw [tendsto_smallSets_iff] at hφ
rw [Metric.tendsto_nhds] at hcg ⊢
simp_rw [Metric.eventually_prod_nhds_iff] at hcg
intro ε hε
have h2ε : 0 < ε / 3 := div_pos hε (by norm_num)
obtain ⟨p, hp, δ, hδ, hgδ⟩ := hcg _ h2ε
dsimp only [uncurry] at hgδ
have h2k := hk.eventually (ball_mem_nhds x₀ <| half_pos hδ)
have h2φ := hφ (ball (0 : G) _) <| ball_mem_nhds _ (half_pos hδ)
filter_upwards [hp, h2k, h2φ, hnφ, hiφ, hmg] with i hpi hki hφi hnφi hiφi hmgi
have hgi : dist (g i (k i)) z₀ < ε / 3 := hgδ hpi (hki.trans <| half_lt_self hδ)
have h1 : ∀ x' ∈ ball (k i) (δ / 2), dist (g i x') (g i (k i)) ≤ ε / 3 + ε / 3 := by
intro x' hx'
refine (dist_triangle_right _ _ _).trans (add_le_add (hgδ hpi ?_).le hgi.le)
exact ((dist_triangle _ _ _).trans_lt (add_lt_add hx'.out hki)).trans_eq (add_halves δ)
have := dist_convolution_le (add_pos h2ε h2ε).le hφi hnφi hiφi hmgi h1
refine ((dist_triangle _ _ _).trans_lt (add_lt_add_of_le_of_lt this hgi)).trans_eq ?_
field_simp; ring_nf
end NormedAddCommGroup
end Measurability
end NontriviallyNormedField
open scoped Convolution
section RCLike
variable [RCLike 𝕜]
variable [NormedSpace 𝕜 E]
variable [NormedSpace 𝕜 E']
variable [NormedSpace 𝕜 E'']
variable [NormedSpace ℝ F] [NormedSpace 𝕜 F]
variable {n : ℕ∞}
variable [MeasurableSpace G] {μ ν : Measure G}
variable (L : E →L[𝕜] E' →L[𝕜] F)
section Assoc
variable [CompleteSpace F]
variable [NormedAddCommGroup F'] [NormedSpace ℝ F'] [NormedSpace 𝕜 F'] [CompleteSpace F']
variable [NormedAddCommGroup F''] [NormedSpace ℝ F''] [NormedSpace 𝕜 F''] [CompleteSpace F'']
variable {k : G → E''}
variable (L₂ : F →L[𝕜] E'' →L[𝕜] F')
variable (L₃ : E →L[𝕜] F'' →L[𝕜] F')
variable (L₄ : E' →L[𝕜] E'' →L[𝕜] F'')
variable [AddGroup G]
variable [SFinite μ] [SFinite ν] [IsAddRightInvariant μ]
theorem integral_convolution [MeasurableAdd₂ G] [MeasurableNeg G] [NormedSpace ℝ E]
[NormedSpace ℝ E'] [CompleteSpace E] [CompleteSpace E'] (hf : Integrable f ν)
(hg : Integrable g μ) : ∫ x, (f ⋆[L, ν] g) x ∂μ = L (∫ x, f x ∂ν) (∫ x, g x ∂μ) := by
refine (integral_integral_swap (by apply hf.convolution_integrand L hg)).trans ?_
simp_rw [integral_comp_comm _ (hg.comp_sub_right _), integral_sub_right_eq_self]
exact (L.flip (∫ x, g x ∂μ)).integral_comp_comm hf
variable [MeasurableAdd₂ G] [IsAddRightInvariant ν] [MeasurableNeg G]
/-- Convolution is associative. This has a weak but inconvenient integrability condition.
See also `MeasureTheory.convolution_assoc`. -/
theorem convolution_assoc' (hL : ∀ (x : E) (y : E') (z : E''), L₂ (L x y) z = L₃ x (L₄ y z))
{x₀ : G} (hfg : ∀ᵐ y ∂μ, ConvolutionExistsAt f g y L ν)
(hgk : ∀ᵐ x ∂ν, ConvolutionExistsAt g k x L₄ μ)
(hi : Integrable (uncurry fun x y => (L₃ (f y)) ((L₄ (g (x - y))) (k (x₀ - x)))) (μ.prod ν)) :
((f ⋆[L, ν] g) ⋆[L₂, μ] k) x₀ = (f ⋆[L₃, ν] g ⋆[L₄, μ] k) x₀ :=
calc
((f ⋆[L, ν] g) ⋆[L₂, μ] k) x₀ = ∫ t, L₂ (∫ s, L (f s) (g (t - s)) ∂ν) (k (x₀ - t)) ∂μ := rfl
_ = ∫ t, ∫ s, L₂ (L (f s) (g (t - s))) (k (x₀ - t)) ∂ν ∂μ :=
(integral_congr_ae (hfg.mono fun t ht => ((L₂.flip (k (x₀ - t))).integral_comp_comm ht).symm))
_ = ∫ t, ∫ s, L₃ (f s) (L₄ (g (t - s)) (k (x₀ - t))) ∂ν ∂μ := by simp_rw [hL]
_ = ∫ s, ∫ t, L₃ (f s) (L₄ (g (t - s)) (k (x₀ - t))) ∂μ ∂ν := by rw [integral_integral_swap hi]
_ = ∫ s, ∫ u, L₃ (f s) (L₄ (g u) (k (x₀ - s - u))) ∂μ ∂ν := by
congr; ext t
rw [eq_comm, ← integral_sub_right_eq_self _ t]
simp_rw [sub_sub_sub_cancel_right]
_ = ∫ s, L₃ (f s) (∫ u, L₄ (g u) (k (x₀ - s - u)) ∂μ) ∂ν := by
refine integral_congr_ae ?_
refine ((quasiMeasurePreserving_sub_left_of_right_invariant ν x₀).ae hgk).mono fun t ht => ?_
exact (L₃ (f t)).integral_comp_comm ht
_ = (f ⋆[L₃, ν] g ⋆[L₄, μ] k) x₀ := rfl
/-- Convolution is associative. This requires that
* all maps are a.e. strongly measurable w.r.t one of the measures
* `f ⋆[L, ν] g` exists almost everywhere
* `‖g‖ ⋆[μ] ‖k‖` exists almost everywhere
* `‖f‖ ⋆[ν] (‖g‖ ⋆[μ] ‖k‖)` exists at `x₀` -/
theorem convolution_assoc (hL : ∀ (x : E) (y : E') (z : E''), L₂ (L x y) z = L₃ x (L₄ y z)) {x₀ : G}
(hf : AEStronglyMeasurable f ν) (hg : AEStronglyMeasurable g μ) (hk : AEStronglyMeasurable k μ)
(hfg : ∀ᵐ y ∂μ, ConvolutionExistsAt f g y L ν)
(hgk : ∀ᵐ x ∂ν, ConvolutionExistsAt (fun x => ‖g x‖) (fun x => ‖k x‖) x (mul ℝ ℝ) μ)
(hfgk :
ConvolutionExistsAt (fun x => ‖f x‖) ((fun x => ‖g x‖) ⋆[mul ℝ ℝ, μ] fun x => ‖k x‖) x₀
(mul ℝ ℝ) ν) :
((f ⋆[L, ν] g) ⋆[L₂, μ] k) x₀ = (f ⋆[L₃, ν] g ⋆[L₄, μ] k) x₀ := by
refine convolution_assoc' L L₂ L₃ L₄ hL hfg (hgk.mono fun x hx => hx.of_norm L₄ hg hk) ?_
-- the following is similar to `Integrable.convolution_integrand`
have h_meas :
AEStronglyMeasurable (uncurry fun x y => L₃ (f y) (L₄ (g x) (k (x₀ - y - x))))
(μ.prod ν) := by
refine L₃.aestronglyMeasurable_comp₂ hf.snd ?_
refine L₄.aestronglyMeasurable_comp₂ hg.fst ?_
refine (hk.mono_ac ?_).comp_measurable
((measurable_const.sub measurable_snd).sub measurable_fst)
refine QuasiMeasurePreserving.absolutelyContinuous ?_
refine QuasiMeasurePreserving.prod_of_left
((measurable_const.sub measurable_snd).sub measurable_fst) (Eventually.of_forall fun y => ?_)
dsimp only
exact quasiMeasurePreserving_sub_left_of_right_invariant μ _
have h2_meas :
AEStronglyMeasurable (fun y => ∫ x, ‖L₃ (f y) (L₄ (g x) (k (x₀ - y - x)))‖ ∂μ) ν :=
h_meas.prod_swap.norm.integral_prod_right'
have h3 : map (fun z : G × G => (z.1 - z.2, z.2)) (μ.prod ν) = μ.prod ν :=
(measurePreserving_sub_prod μ ν).map_eq
suffices Integrable (uncurry fun x y => L₃ (f y) (L₄ (g x) (k (x₀ - y - x)))) (μ.prod ν) by
rw [← h3] at this
convert this.comp_measurable (measurable_sub.prodMk measurable_snd)
ext ⟨x, y⟩
simp +unfoldPartialApp only [uncurry, Function.comp_apply,
sub_sub_sub_cancel_right]
simp_rw [integrable_prod_iff' h_meas]
| refine ⟨((quasiMeasurePreserving_sub_left_of_right_invariant ν x₀).ae hgk).mono fun t ht =>
(L₃ (f t)).integrable_comp <| ht.of_norm L₄ hg hk, ?_⟩
refine (hfgk.const_mul (‖L₃‖ * ‖L₄‖)).mono' h2_meas
(((quasiMeasurePreserving_sub_left_of_right_invariant ν x₀).ae hgk).mono fun t ht => ?_)
simp_rw [convolution_def, mul_apply', mul_mul_mul_comm ‖L₃‖ ‖L₄‖, ← integral_const_mul]
rw [Real.norm_of_nonneg (by positivity)]
refine integral_mono_of_nonneg (Eventually.of_forall fun t => norm_nonneg _)
((ht.const_mul _).const_mul _) (Eventually.of_forall fun s => ?_)
simp only [← mul_assoc ‖L₄‖]
apply_rules [ContinuousLinearMap.le_of_opNorm₂_le_of_le, le_rfl]
end Assoc
variable [NormedAddCommGroup G] [BorelSpace G]
theorem convolution_precompR_apply {g : G → E'' →L[𝕜] E'} (hf : LocallyIntegrable f μ)
(hcg : HasCompactSupport g) (hg : Continuous g) (x₀ : G) (x : E'') :
(f ⋆[L.precompR E'', μ] g) x₀ x = (f ⋆[L, μ] fun a => g a x) x₀ := by
have := hcg.convolutionExists_right (L.precompR E'' :) hf hg x₀
simp_rw [convolution_def, ContinuousLinearMap.integral_apply this]
| Mathlib/Analysis/Convolution.lean | 929 | 948 |
/-
Copyright (c) 2023 Joël Riou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joël Riou
-/
import Mathlib.Algebra.Homology.ShortComplex.QuasiIso
import Mathlib.CategoryTheory.Limits.Preserves.Finite
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Kernels
/-!
# Functors which preserves homology
If `F : C ⥤ D` is a functor between categories with zero morphisms, we shall
say that `F` preserves homology when `F` preserves both kernels and cokernels.
This typeclass is named `[F.PreservesHomology]`, and is automatically
satisfied when `F` preserves both finite limits and finite colimits.
If `S : ShortComplex C` and `[F.PreservesHomology]`, then there is an
isomorphism `S.mapHomologyIso F : (S.map F).homology ≅ F.obj S.homology`, which
is part of the natural isomorphism `homologyFunctorIso F` between the functors
`F.mapShortComplex ⋙ homologyFunctor D` and `homologyFunctor C ⋙ F`.
-/
namespace CategoryTheory
open Category Limits
variable {C D : Type*} [Category C] [Category D] [HasZeroMorphisms C] [HasZeroMorphisms D]
namespace Functor
variable (F : C ⥤ D)
/-- A functor preserves homology when it preserves both kernels and cokernels. -/
class PreservesHomology (F : C ⥤ D) [PreservesZeroMorphisms F] : Prop where
/-- the functor preserves kernels -/
preservesKernels ⦃X Y : C⦄ (f : X ⟶ Y) : PreservesLimit (parallelPair f 0) F := by
infer_instance
/-- the functor preserves cokernels -/
preservesCokernels ⦃X Y : C⦄ (f : X ⟶ Y) : PreservesColimit (parallelPair f 0) F := by
infer_instance
variable [PreservesZeroMorphisms F]
/-- A functor which preserves homology preserves kernels. -/
lemma PreservesHomology.preservesKernel [F.PreservesHomology] {X Y : C} (f : X ⟶ Y) :
PreservesLimit (parallelPair f 0) F :=
PreservesHomology.preservesKernels _
/-- A functor which preserves homology preserves cokernels. -/
lemma PreservesHomology.preservesCokernel [F.PreservesHomology] {X Y : C} (f : X ⟶ Y) :
PreservesColimit (parallelPair f 0) F :=
PreservesHomology.preservesCokernels _
noncomputable instance preservesHomologyOfExact
[PreservesFiniteLimits F] [PreservesFiniteColimits F] :
F.PreservesHomology where
end Functor
namespace ShortComplex
variable {S S₁ S₂ : ShortComplex C}
namespace LeftHomologyData
variable (h : S.LeftHomologyData) (F : C ⥤ D)
/-- A left homology data `h` of a short complex `S` is preserved by a functor `F` is
`F` preserves the kernel of `S.g : S.X₂ ⟶ S.X₃` and the cokernel of `h.f' : S.X₁ ⟶ h.K`. -/
class IsPreservedBy [F.PreservesZeroMorphisms] : Prop where
/-- the functor preserves the kernel of `S.g : S.X₂ ⟶ S.X₃`. -/
g : PreservesLimit (parallelPair S.g 0) F
/-- the functor preserves the cokernel of `h.f' : S.X₁ ⟶ h.K`. -/
f' : PreservesColimit (parallelPair h.f' 0) F
variable [F.PreservesZeroMorphisms]
noncomputable instance isPreservedBy_of_preservesHomology [F.PreservesHomology] :
h.IsPreservedBy F where
g := Functor.PreservesHomology.preservesKernel _ _
f' := Functor.PreservesHomology.preservesCokernel _ _
variable [h.IsPreservedBy F]
include h in
/-- When a left homology data is preserved by a functor `F`, this functor
preserves the kernel of `S.g : S.X₂ ⟶ S.X₃`. -/
lemma IsPreservedBy.hg : PreservesLimit (parallelPair S.g 0) F :=
@IsPreservedBy.g _ _ _ _ _ _ _ h F _ _
/-- When a left homology data `h` is preserved by a functor `F`, this functor
preserves the cokernel of `h.f' : S.X₁ ⟶ h.K`. -/
lemma IsPreservedBy.hf' : PreservesColimit (parallelPair h.f' 0) F := IsPreservedBy.f'
/-- When a left homology data `h` of a short complex `S` is preserved by a functor `F`,
this is the induced left homology data `h.map F` for the short complex `S.map F`. -/
@[simps]
noncomputable def map : (S.map F).LeftHomologyData := by
have := IsPreservedBy.hg h F
have := IsPreservedBy.hf' h F
have wi : F.map h.i ≫ F.map S.g = 0 := by rw [← F.map_comp, h.wi, F.map_zero]
have hi := KernelFork.mapIsLimit _ h.hi F
let f' : F.obj S.X₁ ⟶ F.obj h.K := hi.lift (KernelFork.ofι (S.map F).f (S.map F).zero)
have hf' : f' = F.map h.f' := Fork.IsLimit.hom_ext hi (by
rw [Fork.IsLimit.lift_ι hi]
simp only [KernelFork.map_ι, Fork.ι_ofι, map_f, ← F.map_comp, f'_i])
have wπ : f' ≫ F.map h.π = 0 := by rw [hf', ← F.map_comp, f'_π, F.map_zero]
have hπ : IsColimit (CokernelCofork.ofπ (F.map h.π) wπ) := by
let e : parallelPair f' 0 ≅ parallelPair (F.map h.f') 0 :=
parallelPair.ext (Iso.refl _) (Iso.refl _) (by simpa using hf') (by simp)
refine IsColimit.precomposeInvEquiv e _
(IsColimit.ofIsoColimit (CokernelCofork.mapIsColimit _ h.hπ' F) ?_)
exact Cofork.ext (Iso.refl _) (by simp [e])
exact
{ K := F.obj h.K
H := F.obj h.H
i := F.map h.i
π := F.map h.π
wi := wi
hi := hi
wπ := wπ
hπ := hπ }
@[simp]
lemma map_f' : (h.map F).f' = F.map h.f' := by
rw [← cancel_mono (h.map F).i, f'_i, map_f, map_i, ← F.map_comp, f'_i]
end LeftHomologyData
/-- Given a left homology map data `ψ : LeftHomologyMapData φ h₁ h₂` such that
both left homology data `h₁` and `h₂` are preserved by a functor `F`, this is
the induced left homology map data for the morphism `F.mapShortComplex.map φ`. -/
@[simps]
def LeftHomologyMapData.map {φ : S₁ ⟶ S₂} {h₁ : S₁.LeftHomologyData}
{h₂ : S₂.LeftHomologyData} (ψ : LeftHomologyMapData φ h₁ h₂) (F : C ⥤ D)
[F.PreservesZeroMorphisms] [h₁.IsPreservedBy F] [h₂.IsPreservedBy F] :
LeftHomologyMapData (F.mapShortComplex.map φ) (h₁.map F) (h₂.map F) where
φK := F.map ψ.φK
φH := F.map ψ.φH
commi := by simpa only [F.map_comp] using F.congr_map ψ.commi
commf' := by simpa only [LeftHomologyData.map_f', F.map_comp] using F.congr_map ψ.commf'
commπ := by simpa only [F.map_comp] using F.congr_map ψ.commπ
namespace RightHomologyData
variable (h : S.RightHomologyData) (F : C ⥤ D)
/-- A right homology data `h` of a short complex `S` is preserved by a functor `F` is
`F` preserves the cokernel of `S.f : S.X₁ ⟶ S.X₂` and the kernel of `h.g' : h.Q ⟶ S.X₃`. -/
class IsPreservedBy [F.PreservesZeroMorphisms] : Prop where
/-- the functor preserves the cokernel of `S.f : S.X₁ ⟶ S.X₂`. -/
f : PreservesColimit (parallelPair S.f 0) F
/-- the functor preserves the kernel of `h.g' : h.Q ⟶ S.X₃`. -/
g' : PreservesLimit (parallelPair h.g' 0) F
variable [F.PreservesZeroMorphisms]
noncomputable instance isPreservedBy_of_preservesHomology [F.PreservesHomology] :
h.IsPreservedBy F where
f := Functor.PreservesHomology.preservesCokernel F _
g' := Functor.PreservesHomology.preservesKernel F _
variable [h.IsPreservedBy F]
include h in
/-- When a right homology data is preserved by a functor `F`, this functor
preserves the cokernel of `S.f : S.X₁ ⟶ S.X₂`. -/
lemma IsPreservedBy.hf : PreservesColimit (parallelPair S.f 0) F :=
@IsPreservedBy.f _ _ _ _ _ _ _ h F _ _
/-- When a right homology data `h` is preserved by a functor `F`, this functor
preserves the kernel of `h.g' : h.Q ⟶ S.X₃`. -/
lemma IsPreservedBy.hg' : PreservesLimit (parallelPair h.g' 0) F :=
@IsPreservedBy.g' _ _ _ _ _ _ _ h F _ _
/-- When a right homology data `h` of a short complex `S` is preserved by a functor `F`,
this is the induced right homology data `h.map F` for the short complex `S.map F`. -/
@[simps]
noncomputable def map : (S.map F).RightHomologyData := by
have := IsPreservedBy.hf h F
have := IsPreservedBy.hg' h F
have wp : F.map S.f ≫ F.map h.p = 0 := by rw [← F.map_comp, h.wp, F.map_zero]
have hp := CokernelCofork.mapIsColimit _ h.hp F
let g' : F.obj h.Q ⟶ F.obj S.X₃ := hp.desc (CokernelCofork.ofπ (S.map F).g (S.map F).zero)
have hg' : g' = F.map h.g' := by
apply Cofork.IsColimit.hom_ext hp
rw [Cofork.IsColimit.π_desc hp]
simp only [Cofork.π_ofπ, CokernelCofork.map_π, map_g, ← F.map_comp, p_g']
have wι : F.map h.ι ≫ g' = 0 := by rw [hg', ← F.map_comp, ι_g', F.map_zero]
have hι : IsLimit (KernelFork.ofι (F.map h.ι) wι) := by
let e : parallelPair g' 0 ≅ parallelPair (F.map h.g') 0 :=
parallelPair.ext (Iso.refl _) (Iso.refl _) (by simpa using hg') (by simp)
refine IsLimit.postcomposeHomEquiv e _
(IsLimit.ofIsoLimit (KernelFork.mapIsLimit _ h.hι' F) ?_)
exact Fork.ext (Iso.refl _) (by simp [e])
exact
{ Q := F.obj h.Q
H := F.obj h.H
p := F.map h.p
ι := F.map h.ι
wp := wp
hp := hp
wι := wι
hι := hι }
@[simp]
lemma map_g' : (h.map F).g' = F.map h.g' := by
rw [← cancel_epi (h.map F).p, p_g', map_g, map_p, ← F.map_comp, p_g']
end RightHomologyData
/-- Given a right homology map data `ψ : RightHomologyMapData φ h₁ h₂` such that
both right homology data `h₁` and `h₂` are preserved by a functor `F`, this is
the induced right homology map data for the morphism `F.mapShortComplex.map φ`. -/
@[simps]
def RightHomologyMapData.map {φ : S₁ ⟶ S₂} {h₁ : S₁.RightHomologyData}
{h₂ : S₂.RightHomologyData} (ψ : RightHomologyMapData φ h₁ h₂) (F : C ⥤ D)
[F.PreservesZeroMorphisms] [h₁.IsPreservedBy F] [h₂.IsPreservedBy F] :
RightHomologyMapData (F.mapShortComplex.map φ) (h₁.map F) (h₂.map F) where
φQ := F.map ψ.φQ
φH := F.map ψ.φH
commp := by simpa only [F.map_comp] using F.congr_map ψ.commp
commg' := by simpa only [RightHomologyData.map_g', F.map_comp] using F.congr_map ψ.commg'
commι := by simpa only [F.map_comp] using F.congr_map ψ.commι
/-- When a homology data `h` of a short complex `S` is such that both `h.left` and
`h.right` are preserved by a functor `F`, this is the induced homology data
`h.map F` for the short complex `S.map F`. -/
@[simps]
noncomputable def HomologyData.map (h : S.HomologyData) (F : C ⥤ D) [F.PreservesZeroMorphisms]
[h.left.IsPreservedBy F] [h.right.IsPreservedBy F] :
(S.map F).HomologyData where
left := h.left.map F
right := h.right.map F
iso := F.mapIso h.iso
comm := by simpa only [F.map_comp] using F.congr_map h.comm
/-- Given a homology map data `ψ : HomologyMapData φ h₁ h₂` such that
`h₁.left`, `h₁.right`, `h₂.left` and `h₂.right` are all preserved by a functor `F`, this is
the induced homology map data for the morphism `F.mapShortComplex.map φ`. -/
@[simps]
def HomologyMapData.map {φ : S₁ ⟶ S₂} {h₁ : S₁.HomologyData} {h₂ : S₂.HomologyData}
(ψ : HomologyMapData φ h₁ h₂) (F : C ⥤ D) [F.PreservesZeroMorphisms]
[h₁.left.IsPreservedBy F] [h₁.right.IsPreservedBy F]
[h₂.left.IsPreservedBy F] [h₂.right.IsPreservedBy F] :
HomologyMapData (F.mapShortComplex.map φ) (h₁.map F) (h₂.map F) where
left := ψ.left.map F
right := ψ.right.map F
end ShortComplex
namespace Functor
variable (F : C ⥤ D) [PreservesZeroMorphisms F] (S : ShortComplex C) {S₁ S₂ : ShortComplex C}
/-- A functor preserves the left homology of a short complex `S` if it preserves all the
left homology data of `S`. -/
class PreservesLeftHomologyOf : Prop where
/-- the functor preserves all the left homology data of the short complex -/
isPreservedBy : ∀ (h : S.LeftHomologyData), h.IsPreservedBy F
/-- A functor preserves the right homology of a short complex `S` if it preserves all the
right homology data of `S`. -/
class PreservesRightHomologyOf : Prop where
/-- the functor preserves all the right homology data of the short complex -/
isPreservedBy : ∀ (h : S.RightHomologyData), h.IsPreservedBy F
instance PreservesHomology.preservesLeftHomologyOf [F.PreservesHomology] :
F.PreservesLeftHomologyOf S := ⟨inferInstance⟩
instance PreservesHomology.preservesRightHomologyOf [F.PreservesHomology] :
F.PreservesRightHomologyOf S := ⟨inferInstance⟩
variable {S}
/-- If a functor preserves a certain left homology data of a short complex `S`, then it
preserves the left homology of `S`. -/
lemma PreservesLeftHomologyOf.mk' (h : S.LeftHomologyData) [h.IsPreservedBy F] :
F.PreservesLeftHomologyOf S where
isPreservedBy h' :=
{ g := ShortComplex.LeftHomologyData.IsPreservedBy.hg h F
f' := by
have := ShortComplex.LeftHomologyData.IsPreservedBy.hf' h F
let e : parallelPair h.f' 0 ≅ parallelPair h'.f' 0 :=
parallelPair.ext (Iso.refl _) (ShortComplex.cyclesMapIso' (Iso.refl S) h h')
(by simp) (by simp)
exact preservesColimit_of_iso_diagram F e }
/-- If a functor preserves a certain right homology data of a short complex `S`, then it
preserves the right homology of `S`. -/
lemma PreservesRightHomologyOf.mk' (h : S.RightHomologyData) [h.IsPreservedBy F] :
F.PreservesRightHomologyOf S where
isPreservedBy h' :=
{ f := ShortComplex.RightHomologyData.IsPreservedBy.hf h F
g' := by
have := ShortComplex.RightHomologyData.IsPreservedBy.hg' h F
let e : parallelPair h.g' 0 ≅ parallelPair h'.g' 0 :=
parallelPair.ext (ShortComplex.opcyclesMapIso' (Iso.refl S) h h') (Iso.refl _)
(by simp) (by simp)
exact preservesLimit_of_iso_diagram F e }
end Functor
namespace ShortComplex
variable {S : ShortComplex C} (h₁ : S.LeftHomologyData) (h₂ : S.RightHomologyData)
(F : C ⥤ D) [F.PreservesZeroMorphisms]
instance LeftHomologyData.isPreservedBy_of_preserves [F.PreservesLeftHomologyOf S] :
h₁.IsPreservedBy F :=
Functor.PreservesLeftHomologyOf.isPreservedBy _
instance RightHomologyData.isPreservedBy_of_preserves [F.PreservesRightHomologyOf S] :
h₂.IsPreservedBy F :=
Functor.PreservesRightHomologyOf.isPreservedBy _
variable (S)
instance hasLeftHomology_of_preserves [S.HasLeftHomology] [F.PreservesLeftHomologyOf S] :
(S.map F).HasLeftHomology :=
HasLeftHomology.mk' (S.leftHomologyData.map F)
instance hasLeftHomology_of_preserves' [S.HasLeftHomology] [F.PreservesLeftHomologyOf S] :
(F.mapShortComplex.obj S).HasLeftHomology := by
dsimp; infer_instance
instance hasRightHomology_of_preserves [S.HasRightHomology] [F.PreservesRightHomologyOf S] :
(S.map F).HasRightHomology :=
HasRightHomology.mk' (S.rightHomologyData.map F)
instance hasRightHomology_of_preserves' [S.HasRightHomology] [F.PreservesRightHomologyOf S] :
(F.mapShortComplex.obj S).HasRightHomology := by
dsimp; infer_instance
instance hasHomology_of_preserves [S.HasHomology] [F.PreservesLeftHomologyOf S]
[F.PreservesRightHomologyOf S] :
(S.map F).HasHomology :=
HasHomology.mk' (S.homologyData.map F)
instance hasHomology_of_preserves' [S.HasHomology] [F.PreservesLeftHomologyOf S]
[F.PreservesRightHomologyOf S] :
(F.mapShortComplex.obj S).HasHomology := by
dsimp; infer_instance
section
variable
(hl : S.LeftHomologyData) (hr : S.RightHomologyData)
{S₁ S₂ : ShortComplex C} (φ : S₁ ⟶ S₂)
(hl₁ : S₁.LeftHomologyData) (hr₁ : S₁.RightHomologyData)
(hl₂ : S₂.LeftHomologyData) (hr₂ : S₂.RightHomologyData)
(h₁ : S₁.HomologyData) (h₂ : S₂.HomologyData)
(F : C ⥤ D) [F.PreservesZeroMorphisms]
namespace LeftHomologyData
variable [hl₁.IsPreservedBy F] [hl₂.IsPreservedBy F]
lemma map_cyclesMap' : F.map (ShortComplex.cyclesMap' φ hl₁ hl₂) =
ShortComplex.cyclesMap' (F.mapShortComplex.map φ) (hl₁.map F) (hl₂.map F) := by
have γ : ShortComplex.LeftHomologyMapData φ hl₁ hl₂ := default
rw [γ.cyclesMap'_eq, (γ.map F).cyclesMap'_eq, ShortComplex.LeftHomologyMapData.map_φK]
lemma map_leftHomologyMap' : F.map (ShortComplex.leftHomologyMap' φ hl₁ hl₂) =
ShortComplex.leftHomologyMap' (F.mapShortComplex.map φ) (hl₁.map F) (hl₂.map F) := by
have γ : ShortComplex.LeftHomologyMapData φ hl₁ hl₂ := default
rw [γ.leftHomologyMap'_eq, (γ.map F).leftHomologyMap'_eq,
ShortComplex.LeftHomologyMapData.map_φH]
end LeftHomologyData
namespace RightHomologyData
variable [hr₁.IsPreservedBy F] [hr₂.IsPreservedBy F]
lemma map_opcyclesMap' : F.map (ShortComplex.opcyclesMap' φ hr₁ hr₂) =
ShortComplex.opcyclesMap' (F.mapShortComplex.map φ) (hr₁.map F) (hr₂.map F) := by
have γ : ShortComplex.RightHomologyMapData φ hr₁ hr₂ := default
rw [γ.opcyclesMap'_eq, (γ.map F).opcyclesMap'_eq, ShortComplex.RightHomologyMapData.map_φQ]
lemma map_rightHomologyMap' : F.map (ShortComplex.rightHomologyMap' φ hr₁ hr₂) =
ShortComplex.rightHomologyMap' (F.mapShortComplex.map φ) (hr₁.map F) (hr₂.map F) := by
have γ : ShortComplex.RightHomologyMapData φ hr₁ hr₂ := default
rw [γ.rightHomologyMap'_eq, (γ.map F).rightHomologyMap'_eq,
ShortComplex.RightHomologyMapData.map_φH]
end RightHomologyData
lemma HomologyData.map_homologyMap'
[h₁.left.IsPreservedBy F] [h₁.right.IsPreservedBy F]
[h₂.left.IsPreservedBy F] [h₂.right.IsPreservedBy F] :
F.map (ShortComplex.homologyMap' φ h₁ h₂) =
ShortComplex.homologyMap' (F.mapShortComplex.map φ) (h₁.map F) (h₂.map F) :=
LeftHomologyData.map_leftHomologyMap' _ _ _ _
/-- When a functor `F` preserves the left homology of a short complex `S`, this is the
canonical isomorphism `(S.map F).cycles ≅ F.obj S.cycles`. -/
noncomputable def mapCyclesIso [S.HasLeftHomology] [F.PreservesLeftHomologyOf S] :
(S.map F).cycles ≅ F.obj S.cycles :=
(S.leftHomologyData.map F).cyclesIso
@[reassoc (attr := simp)]
lemma mapCyclesIso_hom_iCycles [S.HasLeftHomology] [F.PreservesLeftHomologyOf S] :
(S.mapCyclesIso F).hom ≫ F.map S.iCycles = (S.map F).iCycles := by
apply LeftHomologyData.cyclesIso_hom_comp_i
/-- When a functor `F` preserves the left homology of a short complex `S`, this is the
canonical isomorphism `(S.map F).leftHomology ≅ F.obj S.leftHomology`. -/
noncomputable def mapLeftHomologyIso [S.HasLeftHomology] [F.PreservesLeftHomologyOf S] :
(S.map F).leftHomology ≅ F.obj S.leftHomology :=
(S.leftHomologyData.map F).leftHomologyIso
/-- When a functor `F` preserves the right homology of a short complex `S`, this is the
canonical isomorphism `(S.map F).opcycles ≅ F.obj S.opcycles`. -/
noncomputable def mapOpcyclesIso [S.HasRightHomology] [F.PreservesRightHomologyOf S] :
(S.map F).opcycles ≅ F.obj S.opcycles :=
(S.rightHomologyData.map F).opcyclesIso
/-- When a functor `F` preserves the right homology of a short complex `S`, this is the
canonical isomorphism `(S.map F).rightHomology ≅ F.obj S.rightHomology`. -/
noncomputable def mapRightHomologyIso [S.HasRightHomology] [F.PreservesRightHomologyOf S] :
(S.map F).rightHomology ≅ F.obj S.rightHomology :=
(S.rightHomologyData.map F).rightHomologyIso
/-- When a functor `F` preserves the left homology of a short complex `S`, this is the
canonical isomorphism `(S.map F).homology ≅ F.obj S.homology`. -/
noncomputable def mapHomologyIso [S.HasHomology] [(S.map F).HasHomology]
[F.PreservesLeftHomologyOf S] :
(S.map F).homology ≅ F.obj S.homology :=
(S.homologyData.left.map F).homologyIso
/-- When a functor `F` preserves the right homology of a short complex `S`, this is the
canonical isomorphism `(S.map F).homology ≅ F.obj S.homology`. -/
noncomputable def mapHomologyIso' [S.HasHomology] [(S.map F).HasHomology]
[F.PreservesRightHomologyOf S] :
(S.map F).homology ≅ F.obj S.homology :=
(S.homologyData.right.map F).homologyIso ≪≫ F.mapIso S.homologyData.right.homologyIso.symm
variable {S}
lemma LeftHomologyData.mapCyclesIso_eq [S.HasLeftHomology]
[F.PreservesLeftHomologyOf S] :
S.mapCyclesIso F = (hl.map F).cyclesIso ≪≫ F.mapIso hl.cyclesIso.symm := by
ext
dsimp [mapCyclesIso, cyclesIso]
simp only [map_cyclesMap', ← cyclesMap'_comp, Functor.map_id, comp_id,
Functor.mapShortComplex_obj]
lemma LeftHomologyData.mapLeftHomologyIso_eq [S.HasLeftHomology]
[F.PreservesLeftHomologyOf S] :
S.mapLeftHomologyIso F = (hl.map F).leftHomologyIso ≪≫ F.mapIso hl.leftHomologyIso.symm := by
ext
dsimp [mapLeftHomologyIso, leftHomologyIso]
simp only [map_leftHomologyMap', ← leftHomologyMap'_comp, Functor.map_id, comp_id,
Functor.mapShortComplex_obj]
lemma RightHomologyData.mapOpcyclesIso_eq [S.HasRightHomology]
[F.PreservesRightHomologyOf S] :
S.mapOpcyclesIso F = (hr.map F).opcyclesIso ≪≫ F.mapIso hr.opcyclesIso.symm := by
ext
dsimp [mapOpcyclesIso, opcyclesIso]
simp only [map_opcyclesMap', ← opcyclesMap'_comp, Functor.map_id, comp_id,
Functor.mapShortComplex_obj]
lemma RightHomologyData.mapRightHomologyIso_eq [S.HasRightHomology]
[F.PreservesRightHomologyOf S] :
S.mapRightHomologyIso F = (hr.map F).rightHomologyIso ≪≫
F.mapIso hr.rightHomologyIso.symm := by
ext
dsimp [mapRightHomologyIso, rightHomologyIso]
simp only [map_rightHomologyMap', ← rightHomologyMap'_comp, Functor.map_id, comp_id,
Functor.mapShortComplex_obj]
lemma LeftHomologyData.mapHomologyIso_eq [S.HasHomology]
[(S.map F).HasHomology] [F.PreservesLeftHomologyOf S] :
S.mapHomologyIso F = (hl.map F).homologyIso ≪≫ F.mapIso hl.homologyIso.symm := by
ext
dsimp only [mapHomologyIso, homologyIso, ShortComplex.leftHomologyIso,
leftHomologyMapIso', leftHomologyIso, Functor.mapIso,
Iso.symm, Iso.trans, Iso.refl]
simp only [F.map_comp, map_leftHomologyMap', ← leftHomologyMap'_comp, comp_id,
Functor.map_id, Functor.mapShortComplex_obj]
lemma RightHomologyData.mapHomologyIso'_eq [S.HasHomology]
[(S.map F).HasHomology] [F.PreservesRightHomologyOf S] :
S.mapHomologyIso' F = (hr.map F).homologyIso ≪≫ F.mapIso hr.homologyIso.symm := by
ext
dsimp only [Iso.trans, Iso.symm, Iso.refl, Functor.mapIso, mapHomologyIso', homologyIso,
rightHomologyIso, rightHomologyMapIso', ShortComplex.rightHomologyIso]
simp only [assoc, F.map_comp, map_rightHomologyMap', ← rightHomologyMap'_comp_assoc]
@[reassoc]
lemma mapCyclesIso_hom_naturality [S₁.HasLeftHomology] [S₂.HasLeftHomology]
[F.PreservesLeftHomologyOf S₁] [F.PreservesLeftHomologyOf S₂] :
cyclesMap (F.mapShortComplex.map φ) ≫ (S₂.mapCyclesIso F).hom =
(S₁.mapCyclesIso F).hom ≫ F.map (cyclesMap φ) := by
dsimp only [cyclesMap, mapCyclesIso, LeftHomologyData.cyclesIso, cyclesMapIso', Iso.refl]
simp only [LeftHomologyData.map_cyclesMap', Functor.mapShortComplex_obj, ← cyclesMap'_comp,
comp_id, id_comp]
@[reassoc]
lemma mapCyclesIso_inv_naturality [S₁.HasLeftHomology] [S₂.HasLeftHomology]
[F.PreservesLeftHomologyOf S₁] [F.PreservesLeftHomologyOf S₂] :
F.map (cyclesMap φ) ≫ (S₂.mapCyclesIso F).inv =
(S₁.mapCyclesIso F).inv ≫ cyclesMap (F.mapShortComplex.map φ) := by
rw [← cancel_epi (S₁.mapCyclesIso F).hom, ← mapCyclesIso_hom_naturality_assoc,
Iso.hom_inv_id, comp_id, Iso.hom_inv_id_assoc]
@[reassoc]
lemma mapLeftHomologyIso_hom_naturality [S₁.HasLeftHomology] [S₂.HasLeftHomology]
[F.PreservesLeftHomologyOf S₁] [F.PreservesLeftHomologyOf S₂] :
leftHomologyMap (F.mapShortComplex.map φ) ≫ (S₂.mapLeftHomologyIso F).hom =
(S₁.mapLeftHomologyIso F).hom ≫ F.map (leftHomologyMap φ) := by
dsimp only [leftHomologyMap, mapLeftHomologyIso, LeftHomologyData.leftHomologyIso,
leftHomologyMapIso', Iso.refl]
simp only [LeftHomologyData.map_leftHomologyMap', Functor.mapShortComplex_obj,
← leftHomologyMap'_comp, comp_id, id_comp]
@[reassoc]
lemma mapLeftHomologyIso_inv_naturality [S₁.HasLeftHomology] [S₂.HasLeftHomology]
[F.PreservesLeftHomologyOf S₁] [F.PreservesLeftHomologyOf S₂] :
F.map (leftHomologyMap φ) ≫ (S₂.mapLeftHomologyIso F).inv =
(S₁.mapLeftHomologyIso F).inv ≫ leftHomologyMap (F.mapShortComplex.map φ) := by
rw [← cancel_epi (S₁.mapLeftHomologyIso F).hom, ← mapLeftHomologyIso_hom_naturality_assoc,
Iso.hom_inv_id, comp_id, Iso.hom_inv_id_assoc]
@[reassoc]
lemma mapOpcyclesIso_hom_naturality [S₁.HasRightHomology] [S₂.HasRightHomology]
[F.PreservesRightHomologyOf S₁] [F.PreservesRightHomologyOf S₂] :
opcyclesMap (F.mapShortComplex.map φ) ≫ (S₂.mapOpcyclesIso F).hom =
(S₁.mapOpcyclesIso F).hom ≫ F.map (opcyclesMap φ) := by
dsimp only [opcyclesMap, mapOpcyclesIso, RightHomologyData.opcyclesIso,
opcyclesMapIso', Iso.refl]
simp only [RightHomologyData.map_opcyclesMap', Functor.mapShortComplex_obj, ← opcyclesMap'_comp,
comp_id, id_comp]
@[reassoc]
lemma mapOpcyclesIso_inv_naturality [S₁.HasRightHomology] [S₂.HasRightHomology]
[F.PreservesRightHomologyOf S₁] [F.PreservesRightHomologyOf S₂] :
F.map (opcyclesMap φ) ≫ (S₂.mapOpcyclesIso F).inv =
(S₁.mapOpcyclesIso F).inv ≫ opcyclesMap (F.mapShortComplex.map φ) := by
rw [← cancel_epi (S₁.mapOpcyclesIso F).hom, ← mapOpcyclesIso_hom_naturality_assoc,
| Iso.hom_inv_id, comp_id, Iso.hom_inv_id_assoc]
@[reassoc]
lemma mapRightHomologyIso_hom_naturality [S₁.HasRightHomology] [S₂.HasRightHomology]
[F.PreservesRightHomologyOf S₁] [F.PreservesRightHomologyOf S₂] :
rightHomologyMap (F.mapShortComplex.map φ) ≫ (S₂.mapRightHomologyIso F).hom =
(S₁.mapRightHomologyIso F).hom ≫ F.map (rightHomologyMap φ) := by
dsimp only [rightHomologyMap, mapRightHomologyIso, RightHomologyData.rightHomologyIso,
rightHomologyMapIso', Iso.refl]
| Mathlib/Algebra/Homology/ShortComplex/PreservesHomology.lean | 546 | 554 |
/-
Copyright (c) 2023 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne, Peter Pfaffelhuber
-/
import Mathlib.Data.Nat.Lattice
import Mathlib.Data.Set.Accumulate
import Mathlib.Data.Set.Pairwise.Lattice
import Mathlib.MeasureTheory.PiSystem
/-! # Semirings and rings of sets
A semi-ring of sets `C` (in the sense of measure theory) is a family of sets containing `∅`,
stable by intersection and such that for all `s, t ∈ C`, `t \ s` is equal to a disjoint union of
finitely many sets in `C`. Note that a semi-ring of sets may not contain unions.
An important example of a semi-ring of sets is intervals in `ℝ`. The intersection of two intervals
is an interval (possibly empty). The union of two intervals may not be an interval.
The set difference of two intervals may not be an interval, but it will be a disjoint union of
two intervals.
A ring of sets is a set of sets containing `∅`, stable by union, set difference and intersection.
## Main definitions
* `MeasureTheory.IsSetSemiring C`: property of being a semi-ring of sets.
* `MeasureTheory.IsSetSemiring.disjointOfDiff hs ht`: for `s, t` in a semi-ring `C`
(with `hC : IsSetSemiring C`) with `hs : s ∈ C`, `ht : t ∈ C`, this is a `Finset` of
pairwise disjoint sets such that `s \ t = ⋃₀ hC.disjointOfDiff hs ht`.
* `MeasureTheory.IsSetSemiring.disjointOfDiffUnion hs hI`: for `hs : s ∈ C` and a finset
`I` of sets in `C` (with `hI : ↑I ⊆ C`), this is a `Finset` of pairwise disjoint sets such that
`s \ ⋃₀ I = ⋃₀ hC.disjointOfDiffUnion hs hI`.
* `MeasureTheory.IsSetSemiring.disjointOfUnion hJ`: for `hJ ⊆ C`, this is a
`Finset` of pairwise disjoint sets such that `⋃₀ J = ⋃₀ hC.disjointOfUnion hJ`.
* `MeasureTheory.IsSetRing`: property of being a ring of sets.
## Main statements
* `MeasureTheory.IsSetSemiring.exists_disjoint_finset_diff_eq`: the existence of the `Finset` given
by the definition `IsSetSemiring.disjointOfDiffUnion` (see above).
* `MeasureTheory.IsSetSemiring.disjointOfUnion_props`: In a `hC : IsSetSemiring C`,
for a `J : Finset (Set α)` with `J ⊆ C`, there is
for every `x in J` some `K x ⊆ C` finite, such that
* `⋃ x ∈ J, K x` are pairwise disjoint and do not contain ∅,
* `⋃ s ∈ K x, s ⊆ x`,
* `⋃ x ∈ J, x = ⋃ x ∈ J, ⋃ s ∈ K x, s`.
-/
open Finset Set
namespace MeasureTheory
variable {α : Type*} {C : Set (Set α)} {s t : Set α}
/-- A semi-ring of sets `C` is a family of sets containing `∅`, stable by intersection and such that
for all `s, t ∈ C`, `s \ t` is equal to a disjoint union of finitely many sets in `C`. -/
structure IsSetSemiring (C : Set (Set α)) : Prop where
empty_mem : ∅ ∈ C
inter_mem : ∀ s ∈ C, ∀ t ∈ C, s ∩ t ∈ C
diff_eq_sUnion' : ∀ s ∈ C, ∀ t ∈ C,
∃ I : Finset (Set α), ↑I ⊆ C ∧ PairwiseDisjoint (I : Set (Set α)) id ∧ s \ t = ⋃₀ I
namespace IsSetSemiring
lemma isPiSystem (hC : IsSetSemiring C) : IsPiSystem C := fun s hs t ht _ ↦ hC.inter_mem s hs t ht
section disjointOfDiff
open scoped Classical in
/-- In a semi-ring of sets `C`, for all sets `s, t ∈ C`, `s \ t` is equal to a disjoint union of
finitely many sets in `C`. The finite set of sets in the union is not unique, but this definition
gives an arbitrary `Finset (Set α)` that satisfies the equality.
We remove the empty set to ensure that `t ∉ hC.disjointOfDiff hs ht` even if `t = ∅`. -/
| noncomputable def disjointOfDiff (hC : IsSetSemiring C) (hs : s ∈ C) (ht : t ∈ C) :
Finset (Set α) :=
(hC.diff_eq_sUnion' s hs t ht).choose \ {∅}
lemma empty_nmem_disjointOfDiff (hC : IsSetSemiring C) (hs : s ∈ C) (ht : t ∈ C) :
| Mathlib/MeasureTheory/SetSemiring.lean | 77 | 81 |
/-
Copyright (c) 2020 Markus Himmel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel, Alex Keizer
-/
import Mathlib.Algebra.Group.Nat.Even
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Ring.Nat
import Mathlib.Data.List.GetD
import Mathlib.Data.Nat.Bits
import Mathlib.Order.Basic
import Mathlib.Tactic.AdaptationNote
import Mathlib.Tactic.Common
/-!
# Bitwise operations on natural numbers
In the first half of this file, we provide theorems for reasoning about natural numbers from their
bitwise properties. In the second half of this file, we show properties of the bitwise operations
`lor`, `land` and `xor`, which are defined in core.
## Main results
* `eq_of_testBit_eq`: two natural numbers are equal if they have equal bits at every position.
* `exists_most_significant_bit`: if `n ≠ 0`, then there is some position `i` that contains the most
significant `1`-bit of `n`.
* `lt_of_testBit`: if `n` and `m` are numbers and `i` is a position such that the `i`-th bit of
of `n` is zero, the `i`-th bit of `m` is one, and all more significant bits are equal, then
`n < m`.
## Future work
There is another way to express bitwise properties of natural number: `digits 2`. The two ways
should be connected.
## Keywords
bitwise, and, or, xor
-/
open Function
namespace Nat
section
variable {f : Bool → Bool → Bool}
@[simp]
lemma bitwise_zero_left (m : Nat) : bitwise f 0 m = if f false true then m else 0 := by
simp [bitwise]
@[simp]
lemma bitwise_zero_right (n : Nat) : bitwise f n 0 = if f true false then n else 0 := by
unfold bitwise
simp only [ite_self, decide_false, Nat.zero_div, ite_true, ite_eq_right_iff]
rintro ⟨⟩
split_ifs <;> rfl
lemma bitwise_zero : bitwise f 0 0 = 0 := by
simp only [bitwise_zero_right, ite_self]
lemma bitwise_of_ne_zero {n m : Nat} (hn : n ≠ 0) (hm : m ≠ 0) :
bitwise f n m = bit (f (bodd n) (bodd m)) (bitwise f (n / 2) (m / 2)) := by
conv_lhs => unfold bitwise
have mod_two_iff_bod x : (x % 2 = 1 : Bool) = bodd x := by
simp only [mod_two_of_bodd, cond]; cases bodd x <;> rfl
simp only [hn, hm, mod_two_iff_bod, ite_false, bit, two_mul, Bool.cond_eq_ite]
theorem binaryRec_of_ne_zero {C : Nat → Sort*} (z : C 0) (f : ∀ b n, C n → C (bit b n)) {n}
(h : n ≠ 0) :
binaryRec z f n = bit_decomp n ▸ f (bodd n) (div2 n) (binaryRec z f (div2 n)) := by
cases n using bitCasesOn with
| h b n =>
rw [binaryRec_eq _ _ (by right; simpa [bit_eq_zero_iff] using h)]
generalize_proofs h; revert h
rw [bodd_bit, div2_bit]
simp
@[simp]
lemma bitwise_bit {f : Bool → Bool → Bool} (h : f false false = false := by rfl) (a m b n) :
bitwise f (bit a m) (bit b n) = bit (f a b) (bitwise f m n) := by
conv_lhs => unfold bitwise
simp only [bit, ite_apply, Bool.cond_eq_ite]
have h4 x : (x + x + 1) / 2 = x := by rw [← two_mul, add_comm]; simp [add_mul_div_left]
cases a <;> cases b <;> simp [h4] <;> split_ifs
<;> simp_all +decide [two_mul]
lemma bit_mod_two_eq_zero_iff (a x) :
bit a x % 2 = 0 ↔ !a := by
simp
lemma bit_mod_two_eq_one_iff (a x) :
bit a x % 2 = 1 ↔ a := by
simp
@[simp]
theorem lor_bit : ∀ a m b n, bit a m ||| bit b n = bit (a || b) (m ||| n) :=
bitwise_bit
@[simp]
theorem land_bit : ∀ a m b n, bit a m &&& bit b n = bit (a && b) (m &&& n) :=
bitwise_bit
@[simp]
theorem ldiff_bit : ∀ a m b n, ldiff (bit a m) (bit b n) = bit (a && not b) (ldiff m n) :=
bitwise_bit
@[simp]
theorem xor_bit : ∀ a m b n, bit a m ^^^ bit b n = bit (bne a b) (m ^^^ n) :=
bitwise_bit
| attribute [simp] Nat.testBit_bitwise
theorem testBit_lor : ∀ m n k, testBit (m ||| n) k = (testBit m k || testBit n k) :=
testBit_bitwise rfl
| Mathlib/Data/Nat/Bitwise.lean | 111 | 114 |
/-
Copyright (c) 2019 Kevin Buzzard. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Buzzard
-/
import Mathlib.Data.EReal.Basic
deprecated_module (since := "2025-04-13")
| Mathlib/Data/Real/EReal.lean | 544 | 547 | |
/-
Copyright (c) 2022 Violeta Hernández Palacios. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Violeta Hernández Palacios
-/
import Mathlib.Order.SuccPred.Archimedean
import Mathlib.Order.BoundedOrder.Lattice
/-!
# Successor and predecessor limits
We define the predicate `Order.IsSuccPrelimit` for "successor pre-limits", values that don't cover
any others. They are so named since they can't be the successors of anything smaller. We define
`Order.IsPredPrelimit` analogously, and prove basic results.
For some applications, it is desirable to exclude minimal elements from being successor limits, or
maximal elements from being predecessor limits. As such, we also provide `Order.IsSuccLimit` and
`Order.IsPredLimit`, which exclude these cases.
## TODO
The plan is to eventually replace `Ordinal.IsLimit` and `Cardinal.IsLimit` with the common
predicate `Order.IsSuccLimit`.
-/
variable {α : Type*} {a b : α}
namespace Order
open Function Set OrderDual
/-! ### Successor limits -/
section LT
variable [LT α]
/-- A successor pre-limit is a value that doesn't cover any other.
It's so named because in a successor order, a successor pre-limit can't be the successor of anything
smaller.
Use `IsSuccLimit` if you want to exclude the case of a minimal element. -/
def IsSuccPrelimit (a : α) : Prop :=
∀ b, ¬b ⋖ a
theorem not_isSuccPrelimit_iff_exists_covBy (a : α) : ¬IsSuccPrelimit a ↔ ∃ b, b ⋖ a := by
simp [IsSuccPrelimit]
@[simp]
theorem IsSuccPrelimit.of_dense [DenselyOrdered α] (a : α) : IsSuccPrelimit a := fun _ => not_covBy
end LT
section Preorder
variable [Preorder α]
/-- A successor limit is a value that isn't minimal and doesn't cover any other.
It's so named because in a successor order, a successor limit can't be the successor of anything
smaller.
This previously allowed the element to be minimal. This usage is now covered by `IsSuccPrelimit`. -/
def IsSuccLimit (a : α) : Prop :=
¬ IsMin a ∧ IsSuccPrelimit a
protected theorem IsSuccLimit.not_isMin (h : IsSuccLimit a) : ¬ IsMin a := h.1
protected theorem IsSuccLimit.isSuccPrelimit (h : IsSuccLimit a) : IsSuccPrelimit a := h.2
theorem IsSuccPrelimit.isSuccLimit_of_not_isMin (h : IsSuccPrelimit a) (ha : ¬ IsMin a) :
IsSuccLimit a :=
⟨ha, h⟩
theorem IsSuccPrelimit.isSuccLimit [NoMinOrder α] (h : IsSuccPrelimit a) : IsSuccLimit a :=
h.isSuccLimit_of_not_isMin (not_isMin a)
theorem isSuccPrelimit_iff_isSuccLimit_of_not_isMin (h : ¬ IsMin a) :
IsSuccPrelimit a ↔ IsSuccLimit a :=
⟨fun ha ↦ ha.isSuccLimit_of_not_isMin h, IsSuccLimit.isSuccPrelimit⟩
theorem isSuccPrelimit_iff_isSuccLimit [NoMinOrder α] : IsSuccPrelimit a ↔ IsSuccLimit a :=
isSuccPrelimit_iff_isSuccLimit_of_not_isMin (not_isMin a)
protected theorem _root_.IsMin.not_isSuccLimit (h : IsMin a) : ¬ IsSuccLimit a :=
fun ha ↦ ha.not_isMin h
protected theorem _root_.IsMin.isSuccPrelimit : IsMin a → IsSuccPrelimit a := fun h _ hab =>
not_isMin_of_lt hab.lt h
theorem isSuccPrelimit_bot [OrderBot α] : IsSuccPrelimit (⊥ : α) :=
isMin_bot.isSuccPrelimit
theorem not_isSuccLimit_bot [OrderBot α] : ¬ IsSuccLimit (⊥ : α) :=
isMin_bot.not_isSuccLimit
| theorem IsSuccLimit.ne_bot [OrderBot α] (h : IsSuccLimit a) : a ≠ ⊥ := by
rintro rfl
exact not_isSuccLimit_bot h
theorem not_isSuccLimit_iff : ¬ IsSuccLimit a ↔ IsMin a ∨ ¬ IsSuccPrelimit a := by
| Mathlib/Order/SuccPred/Limit.lean | 99 | 103 |
/-
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.Algebra.Order.Group.Abs
import Mathlib.Algebra.Order.Ring.Int
import Mathlib.Data.Nat.Cast.Order.Ring
/-!
# Order properties of cast of integers
This file proves additional properties about the *canonical* homomorphism from
the integers into an additive group with a one (`Int.cast`),
particularly results involving algebraic homomorphisms or the order structure on `ℤ`
which were not available in the import dependencies of `Mathlib.Data.Int.Cast.Basic`.
## TODO
Move order lemmas about `Nat.cast`, `Rat.cast`, `NNRat.cast` here.
-/
open Function Nat
variable {R : Type*}
namespace Int
section OrderedAddCommGroupWithOne
variable [AddCommGroupWithOne R] [PartialOrder R] [AddLeftMono R]
variable [ZeroLEOneClass R]
lemma cast_mono : Monotone (Int.cast : ℤ → R) := by
intro m n h
rw [← sub_nonneg] at h
lift n - m to ℕ using h with k hk
rw [← sub_nonneg, ← cast_sub, ← hk, cast_natCast]
exact k.cast_nonneg'
@[gcongr] protected lemma GCongr.intCast_mono {m n : ℤ} (hmn : m ≤ n) : (m : R) ≤ n := cast_mono hmn
variable [NeZero (1 : R)] {m n : ℤ}
@[simp] lemma cast_nonneg : ∀ {n : ℤ}, (0 : R) ≤ n ↔ 0 ≤ n
| (n : ℕ) => by simp
| -[n+1] => by
have : -(n : R) < 1 := lt_of_le_of_lt (by simp) zero_lt_one
simpa [(negSucc_lt_zero n).not_le, ← sub_eq_add_neg, le_neg] using this.not_le
|
@[simp, norm_cast] lemma cast_le : (m : R) ≤ n ↔ m ≤ n := by
| Mathlib/Algebra/Order/Ring/Cast.lean | 49 | 50 |
/-
Copyright (c) 2021 Damiano Testa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Damiano Testa
-/
import Mathlib.Algebra.Group.Commute.Defs
import Mathlib.Algebra.Group.Units.Defs
import Mathlib.Algebra.GroupWithZero.Defs
import Mathlib.Algebra.Order.Monoid.Unbundled.Basic
import Mathlib.Tactic.NthRewrite
/-!
# Regular elements
We introduce left-regular, right-regular and regular elements, along with their `to_additive`
analogues add-left-regular, add-right-regular and add-regular elements.
By definition, a regular element in a commutative ring is a non-zero divisor.
Lemma `isRegular_of_ne_zero` implies that every non-zero element of an integral domain is regular.
Since it assumes that the ring is a `CancelMonoidWithZero` it applies also, for instance, to `ℕ`.
The lemmas in Section `MulZeroClass` show that the `0` element is (left/right-)regular if and
only if the `MulZeroClass` is trivial. This is useful when figuring out stopping conditions for
regular sequences: if `0` is ever an element of a regular sequence, then we can extend the sequence
by adding one further `0`.
The final goal is to develop part of the API to prove, eventually, results about non-zero-divisors.
-/
variable {R : Type*}
section Mul
variable [Mul R]
/-- A left-regular element is an element `c` such that multiplication on the left by `c`
is injective. -/
@[to_additive "An add-left-regular element is an element `c` such that addition
on the left by `c` is injective."]
def IsLeftRegular (c : R) :=
(c * ·).Injective
/-- A right-regular element is an element `c` such that multiplication on the right by `c`
is injective. -/
@[to_additive "An add-right-regular element is an element `c` such that addition
on the right by `c` is injective."]
def IsRightRegular (c : R) :=
(· * c).Injective
/-- An add-regular element is an element `c` such that addition by `c` both on the left and
on the right is injective. -/
structure IsAddRegular {R : Type*} [Add R] (c : R) : Prop where
/-- An add-regular element `c` is left-regular -/
left : IsAddLeftRegular c -- Porting note: It seems like to_additive is misbehaving
/-- An add-regular element `c` is right-regular -/
right : IsAddRightRegular c
/-- A regular element is an element `c` such that multiplication by `c` both on the left and
on the right is injective. -/
structure IsRegular (c : R) : Prop where
/-- A regular element `c` is left-regular -/
left : IsLeftRegular c
/-- A regular element `c` is right-regular -/
right : IsRightRegular c
attribute [simp] IsRegular.left IsRegular.right
attribute [to_additive] IsRegular
@[to_additive]
theorem isRegular_iff {c : R} : IsRegular c ↔ IsLeftRegular c ∧ IsRightRegular c :=
⟨fun ⟨h1, h2⟩ => ⟨h1, h2⟩, fun ⟨h1, h2⟩ => ⟨h1, h2⟩⟩
@[to_additive]
protected theorem MulLECancellable.isLeftRegular [PartialOrder R] {a : R}
(ha : MulLECancellable a) : IsLeftRegular a :=
ha.Injective
theorem IsLeftRegular.right_of_commute {a : R}
(ca : ∀ b, Commute a b) (h : IsLeftRegular a) : IsRightRegular a :=
fun x y xy => h <| (ca x).trans <| xy.trans <| (ca y).symm
theorem IsRightRegular.left_of_commute {a : R}
(ca : ∀ b, Commute a b) (h : IsRightRegular a) : IsLeftRegular a := by
simp_rw [@Commute.symm_iff R _ a] at ca
exact fun x y xy => h <| (ca x).trans <| xy.trans <| (ca y).symm
theorem Commute.isRightRegular_iff {a : R} (ca : ∀ b, Commute a b) :
IsRightRegular a ↔ IsLeftRegular a :=
⟨IsRightRegular.left_of_commute ca, IsLeftRegular.right_of_commute ca⟩
theorem Commute.isRegular_iff {a : R} (ca : ∀ b, Commute a b) : IsRegular a ↔ IsLeftRegular a :=
⟨fun h => h.left, fun h => ⟨h, h.right_of_commute ca⟩⟩
end Mul
section Semigroup
variable [Semigroup R] {a b : R}
/-- In a semigroup, the product of left-regular elements is left-regular. -/
@[to_additive "In an additive semigroup, the sum of add-left-regular elements is add-left.regular."]
theorem IsLeftRegular.mul (lra : IsLeftRegular a) (lrb : IsLeftRegular b) : IsLeftRegular (a * b) :=
show Function.Injective (((a * b) * ·)) from comp_mul_left a b ▸ lra.comp lrb
/-- In a semigroup, the product of right-regular elements is right-regular. -/
@[to_additive "In an additive semigroup, the sum of add-right-regular elements is
add-right-regular."]
theorem IsRightRegular.mul (rra : IsRightRegular a) (rrb : IsRightRegular b) :
IsRightRegular (a * b) :=
show Function.Injective (· * (a * b)) from comp_mul_right b a ▸ rrb.comp rra
/-- In a semigroup, the product of regular elements is regular. -/
@[to_additive "In an additive semigroup, the sum of add-regular elements is add-regular."]
theorem IsRegular.mul (rra : IsRegular a) (rrb : IsRegular b) :
IsRegular (a * b) :=
⟨rra.left.mul rrb.left, rra.right.mul rrb.right⟩
/-- If an element `b` becomes left-regular after multiplying it on the left by a left-regular
element, then `b` is left-regular. -/
@[to_additive "If an element `b` becomes add-left-regular after adding to it on the left
an add-left-regular element, then `b` is add-left-regular."]
theorem IsLeftRegular.of_mul (ab : IsLeftRegular (a * b)) : IsLeftRegular b :=
Function.Injective.of_comp (f := (a * ·)) (by rwa [comp_mul_left a b])
/-- An element is left-regular if and only if multiplying it on the left by a left-regular element
is left-regular. -/
@[to_additive (attr := simp) "An element is add-left-regular if and only if adding to it on the left
an add-left-regular element is add-left-regular."]
theorem mul_isLeftRegular_iff (b : R) (ha : IsLeftRegular a) :
IsLeftRegular (a * b) ↔ IsLeftRegular b :=
⟨fun ab => IsLeftRegular.of_mul ab, fun ab => IsLeftRegular.mul ha ab⟩
/-- If an element `b` becomes right-regular after multiplying it on the right by a right-regular
element, then `b` is right-regular. -/
@[to_additive "If an element `b` becomes add-right-regular after adding to it on the right
an add-right-regular element, then `b` is add-right-regular."]
theorem IsRightRegular.of_mul (ab : IsRightRegular (b * a)) : IsRightRegular b := by
refine fun x y xy => ab (?_ : x * (b * a) = y * (b * a))
rw [← mul_assoc, ← mul_assoc]
exact congr_arg (· * a) xy
/-- An element is right-regular if and only if multiplying it on the right with a right-regular
element is right-regular. -/
@[to_additive (attr := simp)
"An element is add-right-regular if and only if adding it on the right to
an add-right-regular element is add-right-regular."]
theorem mul_isRightRegular_iff (b : R) (ha : IsRightRegular a) :
IsRightRegular (b * a) ↔ IsRightRegular b :=
⟨fun ab => IsRightRegular.of_mul ab, fun ab => IsRightRegular.mul ab ha⟩
/-- Two elements `a` and `b` are regular if and only if both products `a * b` and `b * a`
are regular. -/
@[to_additive "Two elements `a` and `b` are add-regular if and only if both sums `a + b` and
`b + a` are add-regular."]
theorem isRegular_mul_and_mul_iff :
IsRegular (a * b) ∧ IsRegular (b * a) ↔ IsRegular a ∧ IsRegular b := by
refine ⟨?_, ?_⟩
· rintro ⟨ab, ba⟩
exact
⟨⟨IsLeftRegular.of_mul ba.left, IsRightRegular.of_mul ab.right⟩,
⟨IsLeftRegular.of_mul ab.left, IsRightRegular.of_mul ba.right⟩⟩
· rintro ⟨ha, hb⟩
exact ⟨ha.mul hb, hb.mul ha⟩
/-- The "most used" implication of `mul_and_mul_iff`, with split hypotheses, instead of `∧`. -/
@[to_additive "The \"most used\" implication of `add_and_add_iff`, with split
hypotheses, instead of `∧`."]
theorem IsRegular.and_of_mul_of_mul (ab : IsRegular (a * b)) (ba : IsRegular (b * a)) :
IsRegular a ∧ IsRegular b :=
isRegular_mul_and_mul_iff.mp ⟨ab, ba⟩
end Semigroup
section MulZeroClass
variable [MulZeroClass R] {a b : R}
/-- The element `0` is left-regular if and only if `R` is trivial. -/
theorem IsLeftRegular.subsingleton (h : IsLeftRegular (0 : R)) : Subsingleton R :=
⟨fun a b => h <| Eq.trans (zero_mul a) (zero_mul b).symm⟩
/-- The element `0` is right-regular if and only if `R` is trivial. -/
theorem IsRightRegular.subsingleton (h : IsRightRegular (0 : R)) : Subsingleton R :=
⟨fun a b => h <| Eq.trans (mul_zero a) (mul_zero b).symm⟩
/-- The element `0` is regular if and only if `R` is trivial. -/
theorem IsRegular.subsingleton (h : IsRegular (0 : R)) : Subsingleton R :=
h.left.subsingleton
/-- The element `0` is left-regular if and only if `R` is trivial. -/
theorem isLeftRegular_zero_iff_subsingleton : IsLeftRegular (0 : R) ↔ Subsingleton R :=
⟨fun h => h.subsingleton, fun H a b _ => @Subsingleton.elim _ H a b⟩
/-- In a non-trivial `MulZeroClass`, the `0` element is not left-regular. -/
theorem not_isLeftRegular_zero_iff : ¬IsLeftRegular (0 : R) ↔ Nontrivial R := by
rw [nontrivial_iff, not_iff_comm, isLeftRegular_zero_iff_subsingleton, subsingleton_iff]
push_neg
exact Iff.rfl
/-- The element `0` is right-regular if and only if `R` is trivial. -/
theorem isRightRegular_zero_iff_subsingleton : IsRightRegular (0 : R) ↔ Subsingleton R :=
⟨fun h => h.subsingleton, fun H a b _ => @Subsingleton.elim _ H a b⟩
/-- In a non-trivial `MulZeroClass`, the `0` element is not right-regular. -/
theorem not_isRightRegular_zero_iff : ¬IsRightRegular (0 : R) ↔ Nontrivial R := by
rw [nontrivial_iff, not_iff_comm, isRightRegular_zero_iff_subsingleton, subsingleton_iff]
push_neg
exact Iff.rfl
/-- The element `0` is regular if and only if `R` is trivial. -/
theorem isRegular_iff_subsingleton : IsRegular (0 : R) ↔ Subsingleton R :=
⟨fun h => h.left.subsingleton, fun h =>
⟨isLeftRegular_zero_iff_subsingleton.mpr h, isRightRegular_zero_iff_subsingleton.mpr h⟩⟩
/-- A left-regular element of a `Nontrivial` `MulZeroClass` is non-zero. -/
theorem IsLeftRegular.ne_zero [Nontrivial R] (la : IsLeftRegular a) : a ≠ 0 := by
rintro rfl
rcases exists_pair_ne R with ⟨x, y, xy⟩
refine xy (la (?_ : 0 * x = 0 * y)) -- Porting note: lean4 seems to need the type signature
rw [zero_mul, zero_mul]
/-- A right-regular element of a `Nontrivial` `MulZeroClass` is non-zero. -/
theorem IsRightRegular.ne_zero [Nontrivial R] (ra : IsRightRegular a) : a ≠ 0 := by
rintro rfl
rcases exists_pair_ne R with ⟨x, y, xy⟩
refine xy (ra (?_ : x * 0 = y * 0))
rw [mul_zero, mul_zero]
/-- A regular element of a `Nontrivial` `MulZeroClass` is non-zero. -/
theorem IsRegular.ne_zero [Nontrivial R] (la : IsRegular a) : a ≠ 0 :=
la.left.ne_zero
/-- In a non-trivial ring, the element `0` is not left-regular -- with typeclasses. -/
theorem not_isLeftRegular_zero [nR : Nontrivial R] : ¬IsLeftRegular (0 : R) :=
not_isLeftRegular_zero_iff.mpr nR
/-- In a non-trivial ring, the element `0` is not right-regular -- with typeclasses. -/
theorem not_isRightRegular_zero [nR : Nontrivial R] : ¬IsRightRegular (0 : R) :=
not_isRightRegular_zero_iff.mpr nR
/-- In a non-trivial ring, the element `0` is not regular -- with typeclasses. -/
theorem not_isRegular_zero [Nontrivial R] : ¬IsRegular (0 : R) := fun h => IsRegular.ne_zero h rfl
@[simp] lemma IsLeftRegular.mul_left_eq_zero_iff (hb : IsLeftRegular b) : b * a = 0 ↔ a = 0 := by
nth_rw 1 [← mul_zero b]
exact ⟨fun h ↦ hb h, fun ha ↦ by rw [ha]⟩
@[simp] lemma IsRightRegular.mul_right_eq_zero_iff (hb : IsRightRegular b) : a * b = 0 ↔ a = 0 := by
nth_rw 1 [← zero_mul b]
exact ⟨fun h ↦ hb h, fun ha ↦ by rw [ha]⟩
end MulZeroClass
section MulOneClass
variable [MulOneClass R]
/-- If multiplying by `1` on either side is the identity, `1` is regular. -/
@[to_additive "If adding `0` on either side is the identity, `0` is regular."]
theorem isRegular_one : IsRegular (1 : R) :=
⟨fun a b ab => (one_mul a).symm.trans (Eq.trans ab (one_mul b)), fun a b ab =>
(mul_one a).symm.trans (Eq.trans ab (mul_one b))⟩
end MulOneClass
section CommSemigroup
variable [CommSemigroup R] {a b : R}
/-- A product is regular if and only if the factors are. -/
@[to_additive "A sum is add-regular if and only if the summands are."]
theorem isRegular_mul_iff : IsRegular (a * b) ↔ IsRegular a ∧ IsRegular b := by
refine Iff.trans ?_ isRegular_mul_and_mul_iff
exact ⟨fun ab => ⟨ab, by rwa [mul_comm]⟩, fun rab => rab.1⟩
end CommSemigroup
section Monoid
variable [Monoid R] {a b : R} {n : ℕ}
/-- An element admitting a left inverse is left-regular. -/
@[to_additive "An element admitting a left additive opposite is add-left-regular."]
theorem isLeftRegular_of_mul_eq_one (h : b * a = 1) : IsLeftRegular a :=
IsLeftRegular.of_mul (a := b) (by rw [h]; exact isRegular_one.left)
/-- An element admitting a right inverse is right-regular. -/
@[to_additive "An element admitting a right additive opposite is add-right-regular."]
theorem isRightRegular_of_mul_eq_one (h : a * b = 1) : IsRightRegular a :=
IsRightRegular.of_mul (a := b) (by rw [h]; exact isRegular_one.right)
/-- If `R` is a monoid, an element in `Rˣ` is regular. -/
@[to_additive "If `R` is an additive monoid, an element in `add_units R` is add-regular."]
theorem Units.isRegular (a : Rˣ) : IsRegular (a : R) :=
⟨isLeftRegular_of_mul_eq_one a.inv_mul, isRightRegular_of_mul_eq_one a.mul_inv⟩
/-- A unit in a monoid is regular. -/
@[to_additive "An additive unit in an additive monoid is add-regular."]
theorem IsUnit.isRegular (ua : IsUnit a) : IsRegular a := by
rcases ua with ⟨a, rfl⟩
exact Units.isRegular a
/-- Any power of a left-regular element is left-regular. -/
lemma IsLeftRegular.pow (n : ℕ) (rla : IsLeftRegular a) : IsLeftRegular (a ^ n) := by
simp only [IsLeftRegular, ← mul_left_iterate, rla.iterate n]
/-- Any power of a right-regular element is right-regular. -/
lemma IsRightRegular.pow (n : ℕ) (rra : IsRightRegular a) : IsRightRegular (a ^ n) := by
rw [IsRightRegular, ← mul_right_iterate]
exact rra.iterate n
/-- Any power of a regular element is regular. -/
lemma IsRegular.pow (n : ℕ) (ra : IsRegular a) : IsRegular (a ^ n) :=
⟨IsLeftRegular.pow n ra.left, IsRightRegular.pow n ra.right⟩
/-- An element `a` is left-regular if and only if a positive power of `a` is left-regular. -/
lemma IsLeftRegular.pow_iff (n0 : 0 < n) : IsLeftRegular (a ^ n) ↔ IsLeftRegular a where
mp := by rw [← Nat.succ_pred_eq_of_pos n0, pow_succ]; exact .of_mul
mpr := .pow n
/-- An element `a` is right-regular if and only if a positive power of `a` is right-regular. -/
lemma IsRightRegular.pow_iff (n0 : 0 < n) : IsRightRegular (a ^ n) ↔ IsRightRegular a where
mp := by rw [← Nat.succ_pred_eq_of_pos n0, pow_succ']; exact .of_mul
mpr := .pow n
/-- An element `a` is regular if and only if a positive power of `a` is regular. -/
lemma IsRegular.pow_iff {n : ℕ} (n0 : 0 < n) : IsRegular (a ^ n) ↔ IsRegular a where
mp h := ⟨(IsLeftRegular.pow_iff n0).mp h.left, (IsRightRegular.pow_iff n0).mp h.right⟩
mpr h := ⟨.pow n h.left, .pow n h.right⟩
end Monoid
/-- If all multiplications cancel on the left then every element is left-regular. -/
@[to_additive "If all additions cancel on the left then every element is add-left-regular."]
theorem IsLeftRegular.all [Mul R] [IsLeftCancelMul R] (g : R) : IsLeftRegular g :=
mul_right_injective g
/-- If all multiplications cancel on the right then every element is right-regular. -/
@[to_additive "If all additions cancel on the right then every element is add-right-regular."]
theorem IsRightRegular.all [Mul R] [IsRightCancelMul R] (g : R) : IsRightRegular g :=
mul_left_injective g
/-- If all multiplications cancel then every element is regular. -/
@[to_additive "If all additions cancel then every element is add-regular."]
theorem IsRegular.all [Mul R] [IsCancelMul R] (g : R) : IsRegular g :=
⟨mul_right_injective g, mul_left_injective g⟩
section CancelMonoidWithZero
variable [MulZeroClass R] [IsCancelMulZero R] {a : R}
|
/-- Non-zero elements of an integral domain are regular. -/
theorem isRegular_of_ne_zero (a0 : a ≠ 0) : IsRegular a :=
| Mathlib/Algebra/Regular/Basic.lean | 353 | 355 |
/-
Copyright (c) 2021 Aaron Anderson, Jesse Michael Han, Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson, Jesse Michael Han, Floris van Doorn
-/
import Mathlib.Data.Set.Prod
import Mathlib.Logic.Equiv.Fin.Basic
import Mathlib.ModelTheory.LanguageMap
import Mathlib.Algebra.Order.Group.Nat
/-!
# Basics on First-Order Syntax
This file defines first-order terms, formulas, sentences, and theories in a style inspired by the
[Flypitch project](https://flypitch.github.io/).
## Main Definitions
- A `FirstOrder.Language.Term` is defined so that `L.Term α` is the type of `L`-terms with free
variables indexed by `α`.
- A `FirstOrder.Language.Formula` is defined so that `L.Formula α` is the type of `L`-formulas with
free variables indexed by `α`.
- A `FirstOrder.Language.Sentence` is a formula with no free variables.
- A `FirstOrder.Language.Theory` is a set of sentences.
- The variables of terms and formulas can be relabelled with `FirstOrder.Language.Term.relabel`,
`FirstOrder.Language.BoundedFormula.relabel`, and `FirstOrder.Language.Formula.relabel`.
- Given an operation on terms and an operation on relations,
`FirstOrder.Language.BoundedFormula.mapTermRel` gives an operation on formulas.
- `FirstOrder.Language.BoundedFormula.castLE` adds more `Fin`-indexed variables.
- `FirstOrder.Language.BoundedFormula.liftAt` raises the indexes of the `Fin`-indexed variables
above a particular index.
- `FirstOrder.Language.Term.subst` and `FirstOrder.Language.BoundedFormula.subst` substitute
variables with given terms.
- Language maps can act on syntactic objects with functions such as
`FirstOrder.Language.LHom.onFormula`.
- `FirstOrder.Language.Term.constantsVarsEquiv` and
`FirstOrder.Language.BoundedFormula.constantsVarsEquiv` switch terms and formulas between having
constants in the language and having extra variables indexed by the same type.
## Implementation Notes
- Formulas use a modified version of de Bruijn variables. Specifically, a `L.BoundedFormula α n`
is a formula with some variables indexed by a type `α`, which cannot be quantified over, and some
indexed by `Fin n`, which can. For any `φ : L.BoundedFormula α (n + 1)`, we define the formula
`∀' φ : L.BoundedFormula α n` by universally quantifying over the variable indexed by
`n : Fin (n + 1)`.
## References
For the Flypitch project:
- [J. Han, F. van Doorn, *A formal proof of the independence of the continuum hypothesis*]
[flypitch_cpp]
- [J. Han, F. van Doorn, *A formalization of forcing and the unprovability of
the continuum hypothesis*][flypitch_itp]
-/
universe u v w u' v'
namespace FirstOrder
namespace Language
variable (L : Language.{u, v}) {L' : Language}
variable {M : Type w} {α : Type u'} {β : Type v'} {γ : Type*}
open FirstOrder
open Structure Fin
/-- A term on `α` is either a variable indexed by an element of `α`
or a function symbol applied to simpler terms. -/
inductive Term (α : Type u') : Type max u u'
| var : α → Term α
| func : ∀ {l : ℕ} (_f : L.Functions l) (_ts : Fin l → Term α), Term α
export Term (var func)
variable {L}
namespace Term
instance instDecidableEq [DecidableEq α] [∀ n, DecidableEq (L.Functions n)] : DecidableEq (L.Term α)
| .var a, .var b => decidable_of_iff (a = b) <| by simp
| @Term.func _ _ m f xs, @Term.func _ _ n g ys =>
if h : m = n then
letI : DecidableEq (L.Term α) := instDecidableEq
decidable_of_iff (f = h ▸ g ∧ ∀ i : Fin m, xs i = ys (Fin.cast h i)) <| by
subst h
simp [funext_iff]
else
.isFalse <| by simp [h]
| .var _, .func _ _ | .func _ _, .var _ => .isFalse <| by simp
open Finset
/-- The `Finset` of variables used in a given term. -/
@[simp]
def varFinset [DecidableEq α] : L.Term α → Finset α
| var i => {i}
| func _f ts => univ.biUnion fun i => (ts i).varFinset
/-- The `Finset` of variables from the left side of a sum used in a given term. -/
@[simp]
def varFinsetLeft [DecidableEq α] : L.Term (α ⊕ β) → Finset α
| var (Sum.inl i) => {i}
| var (Sum.inr _i) => ∅
| func _f ts => univ.biUnion fun i => (ts i).varFinsetLeft
/-- Relabels a term's variables along a particular function. -/
@[simp]
def relabel (g : α → β) : L.Term α → L.Term β
| var i => var (g i)
| func f ts => func f fun {i} => (ts i).relabel g
theorem relabel_id (t : L.Term α) : t.relabel id = t := by
induction t with
| var => rfl
| func _ _ ih => simp [ih]
@[simp]
theorem relabel_id_eq_id : (Term.relabel id : L.Term α → L.Term α) = id :=
funext relabel_id
@[simp]
theorem relabel_relabel (f : α → β) (g : β → γ) (t : L.Term α) :
(t.relabel f).relabel g = t.relabel (g ∘ f) := by
induction t with
| var => rfl
| func _ _ ih => simp [ih]
@[simp]
theorem relabel_comp_relabel (f : α → β) (g : β → γ) :
(Term.relabel g ∘ Term.relabel f : L.Term α → L.Term γ) = Term.relabel (g ∘ f) :=
funext (relabel_relabel f g)
/-- Relabels a term's variables along a bijection. -/
@[simps]
def relabelEquiv (g : α ≃ β) : L.Term α ≃ L.Term β :=
⟨relabel g, relabel g.symm, fun t => by simp, fun t => by simp⟩
/-- Restricts a term to use only a set of the given variables. -/
def restrictVar [DecidableEq α] : ∀ (t : L.Term α) (_f : t.varFinset → β), L.Term β
| var a, f => var (f ⟨a, mem_singleton_self a⟩)
| func F ts, f =>
func F fun i => (ts i).restrictVar (f ∘ Set.inclusion
(subset_biUnion_of_mem (fun i => varFinset (ts i)) (mem_univ i)))
/-- Restricts a term to use only a set of the given variables on the left side of a sum. -/
def restrictVarLeft [DecidableEq α] {γ : Type*} :
∀ (t : L.Term (α ⊕ γ)) (_f : t.varFinsetLeft → β), L.Term (β ⊕ γ)
| var (Sum.inl a), f => var (Sum.inl (f ⟨a, mem_singleton_self a⟩))
| var (Sum.inr a), _f => var (Sum.inr a)
| func F ts, f =>
func F fun i =>
(ts i).restrictVarLeft (f ∘ Set.inclusion (subset_biUnion_of_mem
(fun i => varFinsetLeft (ts i)) (mem_univ i)))
end Term
/-- The representation of a constant symbol as a term. -/
def Constants.term (c : L.Constants) : L.Term α :=
func c default
/-- Applies a unary function to a term. -/
def Functions.apply₁ (f : L.Functions 1) (t : L.Term α) : L.Term α :=
func f ![t]
/-- Applies a binary function to two terms. -/
def Functions.apply₂ (f : L.Functions 2) (t₁ t₂ : L.Term α) : L.Term α :=
func f ![t₁, t₂]
namespace Term
/-- Sends a term with constants to a term with extra variables. -/
@[simp]
def constantsToVars : L[[γ]].Term α → L.Term (γ ⊕ α)
| var a => var (Sum.inr a)
| @func _ _ 0 f ts =>
Sum.casesOn f (fun f => func f fun i => (ts i).constantsToVars) fun c => var (Sum.inl c)
| @func _ _ (_n + 1) f ts =>
Sum.casesOn f (fun f => func f fun i => (ts i).constantsToVars) fun c => isEmptyElim c
/-- Sends a term with extra variables to a term with constants. -/
@[simp]
def varsToConstants : L.Term (γ ⊕ α) → L[[γ]].Term α
| var (Sum.inr a) => var a
| var (Sum.inl c) => Constants.term (Sum.inr c)
| func f ts => func (Sum.inl f) fun i => (ts i).varsToConstants
/-- A bijection between terms with constants and terms with extra variables. -/
@[simps]
def constantsVarsEquiv : L[[γ]].Term α ≃ L.Term (γ ⊕ α) :=
⟨constantsToVars, varsToConstants, by
intro t
induction t with
| var => rfl
| @func n f _ ih =>
cases n
· cases f
· simp [constantsToVars, varsToConstants, ih]
· simp [constantsToVars, varsToConstants, Constants.term, eq_iff_true_of_subsingleton]
· obtain - | f := f
· simp [constantsToVars, varsToConstants, ih]
· exact isEmptyElim f, by
intro t
induction t with
| var x => cases x <;> rfl
| @func n f _ ih => cases n <;> · simp [varsToConstants, constantsToVars, ih]⟩
/-- A bijection between terms with constants and terms with extra variables. -/
def constantsVarsEquivLeft : L[[γ]].Term (α ⊕ β) ≃ L.Term ((γ ⊕ α) ⊕ β) :=
constantsVarsEquiv.trans (relabelEquiv (Equiv.sumAssoc _ _ _)).symm
@[simp]
theorem constantsVarsEquivLeft_apply (t : L[[γ]].Term (α ⊕ β)) :
constantsVarsEquivLeft t = (constantsToVars t).relabel (Equiv.sumAssoc _ _ _).symm :=
rfl
@[simp]
theorem constantsVarsEquivLeft_symm_apply (t : L.Term ((γ ⊕ α) ⊕ β)) :
constantsVarsEquivLeft.symm t = varsToConstants (t.relabel (Equiv.sumAssoc _ _ _)) :=
rfl
instance inhabitedOfVar [Inhabited α] : Inhabited (L.Term α) :=
⟨var default⟩
instance inhabitedOfConstant [Inhabited L.Constants] : Inhabited (L.Term α) :=
⟨(default : L.Constants).term⟩
/-- Raises all of the `Fin`-indexed variables of a term greater than or equal to `m` by `n'`. -/
def liftAt {n : ℕ} (n' m : ℕ) : L.Term (α ⊕ (Fin n)) → L.Term (α ⊕ (Fin (n + n'))) :=
relabel (Sum.map id fun i => if ↑i < m then Fin.castAdd n' i else Fin.addNat i n')
/-- Substitutes the variables in a given term with terms. -/
@[simp]
def subst : L.Term α → (α → L.Term β) → L.Term β
| var a, tf => tf a
| func f ts, tf => func f fun i => (ts i).subst tf
end Term
/-- `&n` is notation for the `n`-th free variable of a bounded formula. -/
scoped[FirstOrder] prefix:arg "&" => FirstOrder.Language.Term.var ∘ Sum.inr
namespace LHom
open Term
/-- Maps a term's symbols along a language map. -/
@[simp]
def onTerm (φ : L →ᴸ L') : L.Term α → L'.Term α
| var i => var i
| func f ts => func (φ.onFunction f) fun i => onTerm φ (ts i)
@[simp]
theorem id_onTerm : ((LHom.id L).onTerm : L.Term α → L.Term α) = id := by
ext t
induction t with
| var => rfl
| func _ _ ih => simp_rw [onTerm, ih]; rfl
@[simp]
theorem comp_onTerm {L'' : Language} (φ : L' →ᴸ L'') (ψ : L →ᴸ L') :
((φ.comp ψ).onTerm : L.Term α → L''.Term α) = φ.onTerm ∘ ψ.onTerm := by
ext t
induction t with
| var => rfl
| func _ _ ih => simp_rw [onTerm, ih]; rfl
end LHom
/-- Maps a term's symbols along a language equivalence. -/
@[simps]
def LEquiv.onTerm (φ : L ≃ᴸ L') : L.Term α ≃ L'.Term α where
toFun := φ.toLHom.onTerm
invFun := φ.invLHom.onTerm
left_inv := by
rw [Function.leftInverse_iff_comp, ← LHom.comp_onTerm, φ.left_inv, LHom.id_onTerm]
right_inv := by
rw [Function.rightInverse_iff_comp, ← LHom.comp_onTerm, φ.right_inv, LHom.id_onTerm]
/-- Maps a term's symbols along a language equivalence. Deprecated in favor of `LEquiv.onTerm`. -/
@[deprecated LEquiv.onTerm (since := "2025-03-31")] alias Lequiv.onTerm := LEquiv.onTerm
variable (L) (α)
/-- `BoundedFormula α n` is the type of formulas with free variables indexed by `α` and up to `n`
additional free variables. -/
inductive BoundedFormula : ℕ → Type max u v u'
| falsum {n} : BoundedFormula n
| equal {n} (t₁ t₂ : L.Term (α ⊕ (Fin n))) : BoundedFormula n
| rel {n l : ℕ} (R : L.Relations l) (ts : Fin l → L.Term (α ⊕ (Fin n))) : BoundedFormula n
/-- The implication between two bounded formulas -/
| imp {n} (f₁ f₂ : BoundedFormula n) : BoundedFormula n
/-- The universal quantifier over bounded formulas -/
| all {n} (f : BoundedFormula (n + 1)) : BoundedFormula n
/-- `Formula α` is the type of formulas with all free variables indexed by `α`. -/
abbrev Formula :=
L.BoundedFormula α 0
/-- A sentence is a formula with no free variables. -/
abbrev Sentence :=
L.Formula Empty
/-- A theory is a set of sentences. -/
abbrev Theory :=
Set L.Sentence
variable {L} {α} {n : ℕ}
/-- Applies a relation to terms as a bounded formula. -/
def Relations.boundedFormula {l : ℕ} (R : L.Relations n) (ts : Fin n → L.Term (α ⊕ (Fin l))) :
L.BoundedFormula α l :=
BoundedFormula.rel R ts
/-- Applies a unary relation to a term as a bounded formula. -/
def Relations.boundedFormula₁ (r : L.Relations 1) (t : L.Term (α ⊕ (Fin n))) :
L.BoundedFormula α n :=
r.boundedFormula ![t]
/-- Applies a binary relation to two terms as a bounded formula. -/
def Relations.boundedFormula₂ (r : L.Relations 2) (t₁ t₂ : L.Term (α ⊕ (Fin n))) :
L.BoundedFormula α n :=
r.boundedFormula ![t₁, t₂]
/-- The equality of two terms as a bounded formula. -/
def Term.bdEqual (t₁ t₂ : L.Term (α ⊕ (Fin n))) : L.BoundedFormula α n :=
BoundedFormula.equal t₁ t₂
/-- Applies a relation to terms as a bounded formula. -/
def Relations.formula (R : L.Relations n) (ts : Fin n → L.Term α) : L.Formula α :=
R.boundedFormula fun i => (ts i).relabel Sum.inl
/-- Applies a unary relation to a term as a formula. -/
def Relations.formula₁ (r : L.Relations 1) (t : L.Term α) : L.Formula α :=
r.formula ![t]
/-- Applies a binary relation to two terms as a formula. -/
def Relations.formula₂ (r : L.Relations 2) (t₁ t₂ : L.Term α) : L.Formula α :=
r.formula ![t₁, t₂]
/-- The equality of two terms as a first-order formula. -/
def Term.equal (t₁ t₂ : L.Term α) : L.Formula α :=
(t₁.relabel Sum.inl).bdEqual (t₂.relabel Sum.inl)
namespace BoundedFormula
instance : Inhabited (L.BoundedFormula α n) :=
⟨falsum⟩
instance : Bot (L.BoundedFormula α n) :=
⟨falsum⟩
/-- The negation of a bounded formula is also a bounded formula. -/
@[match_pattern]
protected def not (φ : L.BoundedFormula α n) : L.BoundedFormula α n :=
φ.imp ⊥
/-- Puts an `∃` quantifier on a bounded formula. -/
@[match_pattern]
protected def ex (φ : L.BoundedFormula α (n + 1)) : L.BoundedFormula α n :=
φ.not.all.not
instance : Top (L.BoundedFormula α n) :=
⟨BoundedFormula.not ⊥⟩
instance : Min (L.BoundedFormula α n) :=
⟨fun f g => (f.imp g.not).not⟩
instance : Max (L.BoundedFormula α n) :=
⟨fun f g => f.not.imp g⟩
/-- The biimplication between two bounded formulas. -/
protected def iff (φ ψ : L.BoundedFormula α n) :=
φ.imp ψ ⊓ ψ.imp φ
open Finset
/-- The `Finset` of variables used in a given formula. -/
@[simp]
def freeVarFinset [DecidableEq α] : ∀ {n}, L.BoundedFormula α n → Finset α
| _n, falsum => ∅
| _n, equal t₁ t₂ => t₁.varFinsetLeft ∪ t₂.varFinsetLeft
| _n, rel _R ts => univ.biUnion fun i => (ts i).varFinsetLeft
| _n, imp f₁ f₂ => f₁.freeVarFinset ∪ f₂.freeVarFinset
| _n, all f => f.freeVarFinset
/-- Casts `L.BoundedFormula α m` as `L.BoundedFormula α n`, where `m ≤ n`. -/
@[simp]
def castLE : ∀ {m n : ℕ} (_h : m ≤ n), L.BoundedFormula α m → L.BoundedFormula α n
| _m, _n, _h, falsum => falsum
| _m, _n, h, equal t₁ t₂ =>
equal (t₁.relabel (Sum.map id (Fin.castLE h))) (t₂.relabel (Sum.map id (Fin.castLE h)))
| _m, _n, h, rel R ts => rel R (Term.relabel (Sum.map id (Fin.castLE h)) ∘ ts)
| _m, _n, h, imp f₁ f₂ => (f₁.castLE h).imp (f₂.castLE h)
| _m, _n, h, all f => (f.castLE (add_le_add_right h 1)).all
@[simp]
theorem castLE_rfl {n} (h : n ≤ n) (φ : L.BoundedFormula α n) : φ.castLE h = φ := by
induction φ with
| falsum => rfl
| equal => simp [Fin.castLE_of_eq]
| rel => simp [Fin.castLE_of_eq]
| imp _ _ ih1 ih2 => simp [Fin.castLE_of_eq, ih1, ih2]
| all _ ih3 => simp [Fin.castLE_of_eq, ih3]
@[simp]
theorem castLE_castLE {k m n} (km : k ≤ m) (mn : m ≤ n) (φ : L.BoundedFormula α k) :
(φ.castLE km).castLE mn = φ.castLE (km.trans mn) := by
revert m n
induction φ with
| falsum => intros; rfl
| equal => simp
| rel =>
intros
simp only [castLE, eq_self_iff_true, heq_iff_eq]
rw [← Function.comp_assoc, Term.relabel_comp_relabel]
simp
| imp _ _ ih1 ih2 => simp [ih1, ih2]
| all _ ih3 => intros; simp only [castLE, ih3]
@[simp]
theorem castLE_comp_castLE {k m n} (km : k ≤ m) (mn : m ≤ n) :
(BoundedFormula.castLE mn ∘ BoundedFormula.castLE km :
L.BoundedFormula α k → L.BoundedFormula α n) =
BoundedFormula.castLE (km.trans mn) :=
funext (castLE_castLE km mn)
/-- Restricts a bounded formula to only use a particular set of free variables. -/
def restrictFreeVar [DecidableEq α] :
∀ {n : ℕ} (φ : L.BoundedFormula α n) (_f : φ.freeVarFinset → β), L.BoundedFormula β n
| _n, falsum, _f => falsum
| _n, equal t₁ t₂, f =>
equal (t₁.restrictVarLeft (f ∘ Set.inclusion subset_union_left))
(t₂.restrictVarLeft (f ∘ Set.inclusion subset_union_right))
| _n, rel R ts, f =>
rel R fun i => (ts i).restrictVarLeft (f ∘ Set.inclusion
(subset_biUnion_of_mem (fun i => Term.varFinsetLeft (ts i)) (mem_univ i)))
| _n, imp φ₁ φ₂, f =>
(φ₁.restrictFreeVar (f ∘ Set.inclusion subset_union_left)).imp
(φ₂.restrictFreeVar (f ∘ Set.inclusion subset_union_right))
| _n, all φ, f => (φ.restrictFreeVar f).all
/-- Places universal quantifiers on all extra variables of a bounded formula. -/
def alls : ∀ {n}, L.BoundedFormula α n → L.Formula α
| 0, φ => φ
| _n + 1, φ => φ.all.alls
/-- Places existential quantifiers on all extra variables of a bounded formula. -/
def exs : ∀ {n}, L.BoundedFormula α n → L.Formula α
| 0, φ => φ
| _n + 1, φ => φ.ex.exs
/-- Maps bounded formulas along a map of terms and a map of relations. -/
def mapTermRel {g : ℕ → ℕ} (ft : ∀ n, L.Term (α ⊕ (Fin n)) → L'.Term (β ⊕ (Fin (g n))))
(fr : ∀ n, L.Relations n → L'.Relations n)
(h : ∀ n, L'.BoundedFormula β (g (n + 1)) → L'.BoundedFormula β (g n + 1)) :
∀ {n}, L.BoundedFormula α n → L'.BoundedFormula β (g n)
| _n, falsum => falsum
| _n, equal t₁ t₂ => equal (ft _ t₁) (ft _ t₂)
| _n, rel R ts => rel (fr _ R) fun i => ft _ (ts i)
| _n, imp φ₁ φ₂ => (φ₁.mapTermRel ft fr h).imp (φ₂.mapTermRel ft fr h)
| n, all φ => (h n (φ.mapTermRel ft fr h)).all
/-- Raises all of the `Fin`-indexed variables of a formula greater than or equal to `m` by `n'`. -/
def liftAt : ∀ {n : ℕ} (n' _m : ℕ), L.BoundedFormula α n → L.BoundedFormula α (n + n') :=
fun {_} n' m φ =>
φ.mapTermRel (fun _ t => t.liftAt n' m) (fun _ => id) fun _ =>
castLE (by rw [add_assoc, add_comm 1, add_assoc])
@[simp]
theorem mapTermRel_mapTermRel {L'' : Language}
(ft : ∀ n, L.Term (α ⊕ (Fin n)) → L'.Term (β ⊕ (Fin n)))
(fr : ∀ n, L.Relations n → L'.Relations n)
(ft' : ∀ n, L'.Term (β ⊕ Fin n) → L''.Term (γ ⊕ (Fin n)))
(fr' : ∀ n, L'.Relations n → L''.Relations n) {n} (φ : L.BoundedFormula α n) :
((φ.mapTermRel ft fr fun _ => id).mapTermRel ft' fr' fun _ => id) =
φ.mapTermRel (fun _ => ft' _ ∘ ft _) (fun _ => fr' _ ∘ fr _) fun _ => id := by
induction φ with
| falsum => rfl
| equal => simp [mapTermRel]
| rel => simp [mapTermRel]
| imp _ _ ih1 ih2 => simp [mapTermRel, ih1, ih2]
| all _ ih3 => simp [mapTermRel, ih3]
@[simp]
theorem mapTermRel_id_id_id {n} (φ : L.BoundedFormula α n) :
(φ.mapTermRel (fun _ => id) (fun _ => id) fun _ => id) = φ := by
induction φ with
| falsum => rfl
| equal => simp [mapTermRel]
| rel => simp [mapTermRel]
| imp _ _ ih1 ih2 => simp [mapTermRel, ih1, ih2]
| all _ ih3 => simp [mapTermRel, ih3]
/-- An equivalence of bounded formulas given by an equivalence of terms and an equivalence of
relations. -/
@[simps]
def mapTermRelEquiv (ft : ∀ n, L.Term (α ⊕ (Fin n)) ≃ L'.Term (β ⊕ (Fin n)))
(fr : ∀ n, L.Relations n ≃ L'.Relations n) {n} : L.BoundedFormula α n ≃ L'.BoundedFormula β n :=
⟨mapTermRel (fun n => ft n) (fun n => fr n) fun _ => id,
mapTermRel (fun n => (ft n).symm) (fun n => (fr n).symm) fun _ => id, fun φ => by simp, fun φ =>
by simp⟩
/-- A function to help relabel the variables in bounded formulas. -/
def relabelAux (g : α → β ⊕ (Fin n)) (k : ℕ) : α ⊕ (Fin k) → β ⊕ (Fin (n + k)) :=
Sum.map id finSumFinEquiv ∘ Equiv.sumAssoc _ _ _ ∘ Sum.map g id
@[simp]
theorem sumElim_comp_relabelAux {m : ℕ} {g : α → β ⊕ (Fin n)} {v : β → M}
{xs : Fin (n + m) → M} : Sum.elim v xs ∘ relabelAux g m =
Sum.elim (Sum.elim v (xs ∘ castAdd m) ∘ g) (xs ∘ natAdd n) := by
ext x
rcases x with x | x
· simp only [BoundedFormula.relabelAux, Function.comp_apply, Sum.map_inl, Sum.elim_inl]
rcases g x with l | r <;> simp
· simp [BoundedFormula.relabelAux]
@[deprecated (since := "2025-02-21")] alias sum_elim_comp_relabelAux := sumElim_comp_relabelAux
@[simp]
theorem relabelAux_sumInl (k : ℕ) :
relabelAux (Sum.inl : α → α ⊕ (Fin n)) k = Sum.map id (natAdd n) := by
ext x
cases x <;> · simp [relabelAux]
@[deprecated (since := "2025-02-21")] alias relabelAux_sum_inl := relabelAux_sumInl
/-- Relabels a bounded formula's variables along a particular function. -/
def relabel (g : α → β ⊕ (Fin n)) {k} (φ : L.BoundedFormula α k) : L.BoundedFormula β (n + k) :=
φ.mapTermRel (fun _ t => t.relabel (relabelAux g _)) (fun _ => id) fun _ =>
castLE (ge_of_eq (add_assoc _ _ _))
/-- Relabels a bounded formula's free variables along a bijection. -/
def relabelEquiv (g : α ≃ β) {k} : L.BoundedFormula α k ≃ L.BoundedFormula β k :=
mapTermRelEquiv (fun _n => Term.relabelEquiv (g.sumCongr (_root_.Equiv.refl _)))
fun _n => _root_.Equiv.refl _
| @[simp]
theorem relabel_falsum (g : α → β ⊕ (Fin n)) {k} :
(falsum : L.BoundedFormula α k).relabel g = falsum :=
rfl
@[simp]
theorem relabel_bot (g : α → β ⊕ (Fin n)) {k} : (⊥ : L.BoundedFormula α k).relabel g = ⊥ :=
rfl
| Mathlib/ModelTheory/Syntax.lean | 540 | 547 |
/-
Copyright (c) 2022 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.Data.Fintype.Basic
import Mathlib.ModelTheory.Substructures
/-!
# Elementary Maps Between First-Order Structures
## Main Definitions
- A `FirstOrder.Language.ElementaryEmbedding` is an embedding that commutes with the
realizations of formulas.
- The `FirstOrder.Language.elementaryDiagram` of a structure is the set of all sentences with
parameters that the structure satisfies.
- `FirstOrder.Language.ElementaryEmbedding.ofModelsElementaryDiagram` is the canonical
elementary embedding of any structure into a model of its elementary diagram.
## Main Results
- The Tarski-Vaught Test for embeddings: `FirstOrder.Language.Embedding.isElementary_of_exists`
gives a simple criterion for an embedding to be elementary.
-/
open FirstOrder
namespace FirstOrder
namespace Language
open Structure
variable (L : Language) (M : Type*) (N : Type*) {P : Type*} {Q : Type*}
variable [L.Structure M] [L.Structure N] [L.Structure P] [L.Structure Q]
/-- An elementary embedding of first-order structures is an embedding that commutes with the
realizations of formulas. -/
structure ElementaryEmbedding where
/-- The underlying embedding -/
toFun : M → N
-- Porting note:
-- The autoparam here used to be `obviously`.
-- We have replaced it with `aesop` but that isn't currently sufficient.
-- See https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/Aesop.20and.20cases
-- If that can be improved, we should remove the proofs below.
map_formula' :
∀ ⦃n⦄ (φ : L.Formula (Fin n)) (x : Fin n → M), φ.Realize (toFun ∘ x) ↔ φ.Realize x := by
aesop
@[inherit_doc FirstOrder.Language.ElementaryEmbedding]
scoped[FirstOrder] notation:25 A " ↪ₑ[" L "] " B => FirstOrder.Language.ElementaryEmbedding L A B
variable {L} {M} {N}
namespace ElementaryEmbedding
attribute [coe] toFun
instance instFunLike : FunLike (M ↪ₑ[L] N) M N where
coe f := f.toFun
coe_injective' f g h := by
cases f
cases g
simp only [ElementaryEmbedding.mk.injEq]
ext x
exact funext_iff.1 h x
@[simp]
theorem map_boundedFormula (f : M ↪ₑ[L] N) {α : Type*} {n : ℕ} (φ : L.BoundedFormula α n)
(v : α → M) (xs : Fin n → M) : φ.Realize (f ∘ v) (f ∘ xs) ↔ φ.Realize v xs := by
classical
rw [← BoundedFormula.realize_restrictFreeVar' Set.Subset.rfl, Set.inclusion_eq_id, iff_eq_eq]
have h :=
f.map_formula' ((φ.restrictFreeVar id).toFormula.relabel (Fintype.equivFin _))
| (Sum.elim (v ∘ (↑)) xs ∘ (Fintype.equivFin _).symm)
simp only [Formula.realize_relabel, BoundedFormula.realize_toFormula, iff_eq_eq] at h
rw [← Function.comp_assoc _ _ (Fintype.equivFin _).symm,
Function.comp_assoc _ (Fintype.equivFin _).symm (Fintype.equivFin _),
_root_.Equiv.symm_comp_self, Function.comp_id, Function.comp_assoc, Sum.elim_comp_inl,
Function.comp_assoc _ _ Sum.inr, Sum.elim_comp_inr, ← Function.comp_assoc] at h
refine h.trans ?_
erw [Function.comp_assoc _ _ (Fintype.equivFin _), _root_.Equiv.symm_comp_self,
Function.comp_id, Sum.elim_comp_inl, Sum.elim_comp_inr (v ∘ Subtype.val) xs,
← Set.inclusion_eq_id (s := (BoundedFormula.freeVarFinset φ : Set α)) Set.Subset.rfl,
BoundedFormula.realize_restrictFreeVar' Set.Subset.rfl]
@[simp]
theorem map_formula (f : M ↪ₑ[L] N) {α : Type*} (φ : L.Formula α) (x : α → M) :
φ.Realize (f ∘ x) ↔ φ.Realize x := by
rw [Formula.Realize, Formula.Realize, ← f.map_boundedFormula, Unique.eq_default (f ∘ default)]
| Mathlib/ModelTheory/ElementaryMaps.lean | 78 | 94 |
/-
Copyright (c) 2021 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import Mathlib.FieldTheory.RatFunc.Defs
import Mathlib.RingTheory.EuclideanDomain
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.RingTheory.Polynomial.Content
/-!
# The field structure of rational functions
## Main definitions
Working with rational functions as polynomials:
- `RatFunc.instField` provides a field structure
You can use `IsFractionRing` API to treat `RatFunc` as the field of fractions of polynomials:
* `algebraMap K[X] (RatFunc K)` maps polynomials to rational functions
* `IsFractionRing.algEquiv` maps other fields of fractions of `K[X]` to `RatFunc K`,
in particular:
* `FractionRing.algEquiv K[X] (RatFunc K)` maps the generic field of
fraction construction to `RatFunc K`. Combine this with `AlgEquiv.restrictScalars` to change
the `FractionRing K[X] ≃ₐ[K[X]] RatFunc K` to `FractionRing K[X] ≃ₐ[K] RatFunc K`.
Working with rational functions as fractions:
- `RatFunc.num` and `RatFunc.denom` give the numerator and denominator.
These values are chosen to be coprime and such that `RatFunc.denom` is monic.
Lifting homomorphisms of polynomials to other types, by mapping and dividing, as long
as the homomorphism retains the non-zero-divisor property:
- `RatFunc.liftMonoidWithZeroHom` lifts a `K[X] →*₀ G₀` to
a `RatFunc K →*₀ G₀`, where `[CommRing K] [CommGroupWithZero G₀]`
- `RatFunc.liftRingHom` lifts a `K[X] →+* L` to a `RatFunc K →+* L`,
where `[CommRing K] [Field L]`
- `RatFunc.liftAlgHom` lifts a `K[X] →ₐ[S] L` to a `RatFunc K →ₐ[S] L`,
where `[CommRing K] [Field L] [CommSemiring S] [Algebra S K[X]] [Algebra S L]`
This is satisfied by injective homs.
We also have lifting homomorphisms of polynomials to other polynomials,
with the same condition on retaining the non-zero-divisor property across the map:
- `RatFunc.map` lifts `K[X] →* R[X]` when `[CommRing K] [CommRing R]`
- `RatFunc.mapRingHom` lifts `K[X] →+* R[X]` when `[CommRing K] [CommRing R]`
- `RatFunc.mapAlgHom` lifts `K[X] →ₐ[S] R[X]` when
`[CommRing K] [IsDomain K] [CommRing R] [IsDomain R]`
-/
universe u v
noncomputable section
open scoped nonZeroDivisors Polynomial
variable {K : Type u}
namespace RatFunc
section Field
variable [CommRing K]
/-- The zero rational function. -/
protected irreducible_def zero : RatFunc K :=
⟨0⟩
instance : Zero (RatFunc K) :=
⟨RatFunc.zero⟩
theorem ofFractionRing_zero : (ofFractionRing 0 : RatFunc K) = 0 :=
zero_def.symm
/-- Addition of rational functions. -/
protected irreducible_def add : RatFunc K → RatFunc K → RatFunc K
| ⟨p⟩, ⟨q⟩ => ⟨p + q⟩
instance : Add (RatFunc K) :=
⟨RatFunc.add⟩
theorem ofFractionRing_add (p q : FractionRing K[X]) :
ofFractionRing (p + q) = ofFractionRing p + ofFractionRing q :=
(add_def _ _).symm
/-- Subtraction of rational functions. -/
protected irreducible_def sub : RatFunc K → RatFunc K → RatFunc K
| ⟨p⟩, ⟨q⟩ => ⟨p - q⟩
instance : Sub (RatFunc K) :=
⟨RatFunc.sub⟩
theorem ofFractionRing_sub (p q : FractionRing K[X]) :
ofFractionRing (p - q) = ofFractionRing p - ofFractionRing q :=
(sub_def _ _).symm
/-- Additive inverse of a rational function. -/
protected irreducible_def neg : RatFunc K → RatFunc K
| ⟨p⟩ => ⟨-p⟩
instance : Neg (RatFunc K) :=
⟨RatFunc.neg⟩
theorem ofFractionRing_neg (p : FractionRing K[X]) :
ofFractionRing (-p) = -ofFractionRing p :=
(neg_def _).symm
/-- The multiplicative unit of rational functions. -/
protected irreducible_def one : RatFunc K :=
⟨1⟩
instance : One (RatFunc K) :=
⟨RatFunc.one⟩
theorem ofFractionRing_one : (ofFractionRing 1 : RatFunc K) = 1 :=
one_def.symm
/-- Multiplication of rational functions. -/
protected irreducible_def mul : RatFunc K → RatFunc K → RatFunc K
| ⟨p⟩, ⟨q⟩ => ⟨p * q⟩
instance : Mul (RatFunc K) :=
⟨RatFunc.mul⟩
theorem ofFractionRing_mul (p q : FractionRing K[X]) :
ofFractionRing (p * q) = ofFractionRing p * ofFractionRing q :=
(mul_def _ _).symm
section IsDomain
variable [IsDomain K]
/-- Division of rational functions. -/
protected irreducible_def div : RatFunc K → RatFunc K → RatFunc K
| ⟨p⟩, ⟨q⟩ => ⟨p / q⟩
instance : Div (RatFunc K) :=
⟨RatFunc.div⟩
theorem ofFractionRing_div (p q : FractionRing K[X]) :
ofFractionRing (p / q) = ofFractionRing p / ofFractionRing q :=
(div_def _ _).symm
/-- Multiplicative inverse of a rational function. -/
protected irreducible_def inv : RatFunc K → RatFunc K
| ⟨p⟩ => ⟨p⁻¹⟩
instance : Inv (RatFunc K) :=
⟨RatFunc.inv⟩
theorem ofFractionRing_inv (p : FractionRing K[X]) :
ofFractionRing p⁻¹ = (ofFractionRing p)⁻¹ :=
(inv_def _).symm
-- Auxiliary lemma for the `Field` instance
theorem mul_inv_cancel : ∀ {p : RatFunc K}, p ≠ 0 → p * p⁻¹ = 1
| ⟨p⟩, h => by
have : p ≠ 0 := fun hp => h <| by rw [hp, ofFractionRing_zero]
simpa only [← ofFractionRing_inv, ← ofFractionRing_mul, ← ofFractionRing_one,
ofFractionRing.injEq] using
mul_inv_cancel₀ this
end IsDomain
section SMul
variable {R : Type*}
|
/-- Scalar multiplication of rational functions. -/
protected irreducible_def smul [SMul R (FractionRing K[X])] : R → RatFunc K → RatFunc K
| Mathlib/FieldTheory/RatFunc/Basic.lean | 164 | 166 |
/-
Copyright (c) 2020 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen, Kexing Ying, Eric Wieser
-/
import Mathlib.Data.Finset.Sym
import Mathlib.LinearAlgebra.BilinearMap
import Mathlib.LinearAlgebra.FiniteDimensional.Lemmas
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
import Mathlib.LinearAlgebra.Matrix.SesquilinearForm
import Mathlib.LinearAlgebra.Matrix.Symmetric
/-!
# Quadratic maps
This file defines quadratic maps on an `R`-module `M`, taking values in an `R`-module `N`.
An `N`-valued quadratic map on a module `M` over a commutative ring `R` is a map `Q : M → N` such
that:
* `QuadraticMap.map_smul`: `Q (a • x) = (a * a) • Q x`
* `QuadraticMap.polar_add_left`, `QuadraticMap.polar_add_right`,
`QuadraticMap.polar_smul_left`, `QuadraticMap.polar_smul_right`:
the map `QuadraticMap.polar Q := fun x y ↦ Q (x + y) - Q x - Q y` is bilinear.
This notion generalizes to commutative semirings using the approach in [izhakian2016][] which
requires that there be a (possibly non-unique) companion bilinear map `B` such that
`∀ x y, Q (x + y) = Q x + Q y + B x y`. Over a ring, this `B` is precisely `QuadraticMap.polar Q`.
To build a `QuadraticMap` from the `polar` axioms, use `QuadraticMap.ofPolar`.
Quadratic maps come with a scalar multiplication, `(a • Q) x = a • Q x`,
and composition with linear maps `f`, `Q.comp f x = Q (f x)`.
## Main definitions
* `QuadraticMap.ofPolar`: a more familiar constructor that works on rings
* `QuadraticMap.associated`: associated bilinear map
* `QuadraticMap.PosDef`: positive definite quadratic maps
* `QuadraticMap.Anisotropic`: anisotropic quadratic maps
* `QuadraticMap.discr`: discriminant of a quadratic map
* `QuadraticMap.IsOrtho`: orthogonality of vectors with respect to a quadratic map.
## Main statements
* `QuadraticMap.associated_left_inverse`,
* `QuadraticMap.associated_rightInverse`: in a commutative ring where 2 has
an inverse, there is a correspondence between quadratic maps and symmetric
bilinear forms
* `LinearMap.BilinForm.exists_orthogonal_basis`: There exists an orthogonal basis with
respect to any nondegenerate, symmetric bilinear map `B`.
## Notation
In this file, the variable `R` is used when a `CommSemiring` structure is available.
The variable `S` is used when `R` itself has a `•` action.
## Implementation notes
While the definition and many results make sense if we drop commutativity assumptions,
the correct definition of a quadratic maps in the noncommutative setting would require
substantial refactors from the current version, such that $Q(rm) = rQ(m)r^*$ for some
suitable conjugation $r^*$.
The [Zulip thread](https://leanprover.zulipchat.com/#narrow/stream/116395-maths/topic/Quadratic.20Maps/near/395529867)
has some further discussion.
## References
* https://en.wikipedia.org/wiki/Quadratic_form
* https://en.wikipedia.org/wiki/Discriminant#Quadratic_forms
## Tags
quadratic map, homogeneous polynomial, quadratic polynomial
-/
universe u v w
variable {S T : Type*}
variable {R : Type*} {M N P A : Type*}
open LinearMap (BilinMap BilinForm)
section Polar
variable [CommRing R] [AddCommGroup M] [AddCommGroup N]
namespace QuadraticMap
/-- Up to a factor 2, `Q.polar` is the associated bilinear map for a quadratic map `Q`.
Source of this name: https://en.wikipedia.org/wiki/Quadratic_form#Generalization
-/
def polar (f : M → N) (x y : M) :=
f (x + y) - f x - f y
protected theorem map_add (f : M → N) (x y : M) :
f (x + y) = f x + f y + polar f x y := by
rw [polar]
abel
theorem polar_add (f g : M → N) (x y : M) : polar (f + g) x y = polar f x y + polar g x y := by
simp only [polar, Pi.add_apply]
abel
theorem polar_neg (f : M → N) (x y : M) : polar (-f) x y = -polar f x y := by
simp only [polar, Pi.neg_apply, sub_eq_add_neg, neg_add]
theorem polar_smul [Monoid S] [DistribMulAction S N] (f : M → N) (s : S) (x y : M) :
polar (s • f) x y = s • polar f x y := by simp only [polar, Pi.smul_apply, smul_sub]
theorem polar_comm (f : M → N) (x y : M) : polar f x y = polar f y x := by
rw [polar, polar, add_comm, sub_sub, sub_sub, add_comm (f x) (f y)]
/-- Auxiliary lemma to express bilinearity of `QuadraticMap.polar` without subtraction. -/
theorem polar_add_left_iff {f : M → N} {x x' y : M} :
polar f (x + x') y = polar f x y + polar f x' y ↔
f (x + x' + y) + (f x + f x' + f y) = f (x + x') + f (x' + y) + f (y + x) := by
simp only [← add_assoc]
simp only [polar, sub_eq_iff_eq_add, eq_sub_iff_add_eq, sub_add_eq_add_sub, add_sub]
simp only [add_right_comm _ (f y) _, add_right_comm _ (f x') (f x)]
rw [add_comm y x, add_right_comm _ _ (f (x + y)), add_comm _ (f (x + y)),
add_right_comm (f (x + y)), add_left_inj]
theorem polar_comp {F : Type*} [AddCommGroup S] [FunLike F N S] [AddMonoidHomClass F N S]
(f : M → N) (g : F) (x y : M) :
polar (g ∘ f) x y = g (polar f x y) := by
simp only [polar, Pi.smul_apply, Function.comp_apply, map_sub]
/-- `QuadraticMap.polar` as a function from `Sym2`. -/
def polarSym2 (f : M → N) : Sym2 M → N :=
Sym2.lift ⟨polar f, polar_comm _⟩
@[simp]
lemma polarSym2_sym2Mk (f : M → N) (xy : M × M) : polarSym2 f (.mk xy) = polar f xy.1 xy.2 := rfl
end QuadraticMap
end Polar
/-- A quadratic map on a module.
For a more familiar constructor when `R` is a ring, see `QuadraticMap.ofPolar`. -/
structure QuadraticMap (R : Type u) (M : Type v) (N : Type w) [CommSemiring R] [AddCommMonoid M]
[Module R M] [AddCommMonoid N] [Module R N] where
toFun : M → N
toFun_smul : ∀ (a : R) (x : M), toFun (a • x) = (a * a) • toFun x
exists_companion' : ∃ B : BilinMap R M N, ∀ x y, toFun (x + y) = toFun x + toFun y + B x y
section QuadraticForm
variable (R : Type u) (M : Type v) [CommSemiring R] [AddCommMonoid M] [Module R M]
/-- A quadratic form on a module. -/
abbrev QuadraticForm : Type _ := QuadraticMap R M R
end QuadraticForm
namespace QuadraticMap
section DFunLike
variable [CommSemiring R] [AddCommMonoid M] [Module R M] [AddCommMonoid N] [Module R N]
variable {Q Q' : QuadraticMap R M N}
instance instFunLike : FunLike (QuadraticMap R M N) M N where
coe := toFun
coe_injective' x y h := by cases x; cases y; congr
variable (Q)
/-- The `simp` normal form for a quadratic map is `DFunLike.coe`, not `toFun`. -/
@[simp]
theorem toFun_eq_coe : Q.toFun = ⇑Q :=
rfl
-- this must come after the coe_to_fun definition
initialize_simps_projections QuadraticMap (toFun → apply)
variable {Q}
@[ext]
theorem ext (H : ∀ x : M, Q x = Q' x) : Q = Q' :=
DFunLike.ext _ _ H
theorem congr_fun (h : Q = Q') (x : M) : Q x = Q' x :=
DFunLike.congr_fun h _
/-- Copy of a `QuadraticMap` with a new `toFun` equal to the old one. Useful to fix definitional
equalities. -/
protected def copy (Q : QuadraticMap R M N) (Q' : M → N) (h : Q' = ⇑Q) : QuadraticMap R M N where
toFun := Q'
toFun_smul := h.symm ▸ Q.toFun_smul
exists_companion' := h.symm ▸ Q.exists_companion'
@[simp]
theorem coe_copy (Q : QuadraticMap R M N) (Q' : M → N) (h : Q' = ⇑Q) : ⇑(Q.copy Q' h) = Q' :=
rfl
theorem copy_eq (Q : QuadraticMap R M N) (Q' : M → N) (h : Q' = ⇑Q) : Q.copy Q' h = Q :=
DFunLike.ext' h
end DFunLike
section CommSemiring
variable [CommSemiring R] [AddCommMonoid M] [Module R M] [AddCommMonoid N] [Module R N]
variable (Q : QuadraticMap R M N)
protected theorem map_smul (a : R) (x : M) : Q (a • x) = (a * a) • Q x :=
Q.toFun_smul a x
theorem exists_companion : ∃ B : BilinMap R M N, ∀ x y, Q (x + y) = Q x + Q y + B x y :=
Q.exists_companion'
theorem map_add_add_add_map (x y z : M) :
Q (x + y + z) + (Q x + Q y + Q z) = Q (x + y) + Q (y + z) + Q (z + x) := by
obtain ⟨B, h⟩ := Q.exists_companion
rw [add_comm z x]
simp only [h, LinearMap.map_add₂]
abel
theorem map_add_self (x : M) : Q (x + x) = 4 • Q x := by
rw [← two_smul R x, Q.map_smul, ← Nat.cast_smul_eq_nsmul R]
norm_num
-- not @[simp] because it is superseded by `ZeroHomClass.map_zero`
protected theorem map_zero : Q 0 = 0 := by
rw [← @zero_smul R _ _ _ _ (0 : M), Q.map_smul, zero_mul, zero_smul]
instance zeroHomClass : ZeroHomClass (QuadraticMap R M N) M N :=
{ QuadraticMap.instFunLike (R := R) (M := M) (N := N) with map_zero := QuadraticMap.map_zero }
theorem map_smul_of_tower [CommSemiring S] [Algebra S R] [SMul S M] [IsScalarTower S R M]
[Module S N] [IsScalarTower S R N] (a : S)
(x : M) : Q (a • x) = (a * a) • Q x := by
rw [← IsScalarTower.algebraMap_smul R a x, Q.map_smul, ← RingHom.map_mul, algebraMap_smul]
end CommSemiring
section CommRing
variable [CommRing R] [AddCommGroup M] [AddCommGroup N]
variable [Module R M] [Module R N] (Q : QuadraticMap R M N)
@[simp]
protected theorem map_neg (x : M) : Q (-x) = Q x := by
rw [← @neg_one_smul R _ _ _ _ x, Q.map_smul, neg_one_mul, neg_neg, one_smul]
protected theorem map_sub (x y : M) : Q (x - y) = Q (y - x) := by rw [← neg_sub, Q.map_neg]
@[simp]
theorem polar_zero_left (y : M) : polar Q 0 y = 0 := by
simp only [polar, zero_add, QuadraticMap.map_zero, sub_zero, sub_self]
@[simp]
theorem polar_add_left (x x' y : M) : polar Q (x + x') y = polar Q x y + polar Q x' y :=
polar_add_left_iff.mpr <| Q.map_add_add_add_map x x' y
@[simp]
theorem polar_smul_left (a : R) (x y : M) : polar Q (a • x) y = a • polar Q x y := by
obtain ⟨B, h⟩ := Q.exists_companion
simp_rw [polar, h, Q.map_smul, LinearMap.map_smul₂, sub_sub, add_sub_cancel_left]
@[simp]
theorem polar_neg_left (x y : M) : polar Q (-x) y = -polar Q x y := by
rw [← neg_one_smul R x, polar_smul_left, neg_one_smul]
@[simp]
theorem polar_sub_left (x x' y : M) : polar Q (x - x') y = polar Q x y - polar Q x' y := by
rw [sub_eq_add_neg, sub_eq_add_neg, polar_add_left, polar_neg_left]
@[simp]
theorem polar_zero_right (y : M) : polar Q y 0 = 0 := by
simp only [add_zero, polar, QuadraticMap.map_zero, sub_self]
@[simp]
theorem polar_add_right (x y y' : M) : polar Q x (y + y') = polar Q x y + polar Q x y' := by
rw [polar_comm Q x, polar_comm Q x, polar_comm Q x, polar_add_left]
@[simp]
theorem polar_smul_right (a : R) (x y : M) : polar Q x (a • y) = a • polar Q x y := by
rw [polar_comm Q x, polar_comm Q x, polar_smul_left]
@[simp]
theorem polar_neg_right (x y : M) : polar Q x (-y) = -polar Q x y := by
rw [← neg_one_smul R y, polar_smul_right, neg_one_smul]
@[simp]
theorem polar_sub_right (x y y' : M) : polar Q x (y - y') = polar Q x y - polar Q x y' := by
rw [sub_eq_add_neg, sub_eq_add_neg, polar_add_right, polar_neg_right]
@[simp]
theorem polar_self (x : M) : polar Q x x = 2 • Q x := by
rw [polar, map_add_self, sub_sub, sub_eq_iff_eq_add, ← two_smul ℕ, ← two_smul ℕ, ← mul_smul]
norm_num
/-- `QuadraticMap.polar` as a bilinear map -/
@[simps!]
def polarBilin : BilinMap R M N :=
LinearMap.mk₂ R (polar Q) (polar_add_left Q) (polar_smul_left Q) (polar_add_right Q)
(polar_smul_right Q)
lemma polarSym2_map_smul {ι} (Q : QuadraticMap R M N) (g : ι → M) (l : ι → R) (p : Sym2 ι) :
polarSym2 Q (p.map (l • g)) = (p.map l).mul • polarSym2 Q (p.map g) := by
obtain ⟨_, _⟩ := p; simp [← smul_assoc, mul_comm]
variable [CommSemiring S] [Algebra S R] [Module S M] [IsScalarTower S R M] [Module S N]
[IsScalarTower S R N]
@[simp]
theorem polar_smul_left_of_tower (a : S) (x y : M) : polar Q (a • x) y = a • polar Q x y := by
rw [← IsScalarTower.algebraMap_smul R a x, polar_smul_left, algebraMap_smul]
@[simp]
theorem polar_smul_right_of_tower (a : S) (x y : M) : polar Q x (a • y) = a • polar Q x y := by
rw [← IsScalarTower.algebraMap_smul R a y, polar_smul_right, algebraMap_smul]
/-- An alternative constructor to `QuadraticMap.mk`, for rings where `polar` can be used. -/
@[simps]
def ofPolar (toFun : M → N) (toFun_smul : ∀ (a : R) (x : M), toFun (a • x) = (a * a) • toFun x)
(polar_add_left : ∀ x x' y : M, polar toFun (x + x') y = polar toFun x y + polar toFun x' y)
(polar_smul_left : ∀ (a : R) (x y : M), polar toFun (a • x) y = a • polar toFun x y) :
QuadraticMap R M N :=
{ toFun
toFun_smul
exists_companion' := ⟨LinearMap.mk₂ R (polar toFun) (polar_add_left) (polar_smul_left)
(fun x _ _ ↦ by simp_rw [polar_comm _ x, polar_add_left])
(fun _ _ _ ↦ by rw [polar_comm, polar_smul_left, polar_comm]),
fun _ _ ↦ by
simp only [LinearMap.mk₂_apply]
rw [polar, sub_sub, add_sub_cancel]⟩ }
/-- In a ring the companion bilinear form is unique and equal to `QuadraticMap.polar`. -/
theorem choose_exists_companion : Q.exists_companion.choose = polarBilin Q :=
LinearMap.ext₂ fun x y => by
rw [polarBilin_apply_apply, polar, Q.exists_companion.choose_spec, sub_sub,
add_sub_cancel_left]
protected theorem map_sum {ι} [DecidableEq ι] (Q : QuadraticMap R M N) (s : Finset ι) (f : ι → M) :
Q (∑ i ∈ s, f i) = ∑ i ∈ s, Q (f i)
+ ∑ ij ∈ s.sym2 with ¬ ij.IsDiag, polarSym2 Q (ij.map f) := by
induction s using Finset.cons_induction with
| empty => simp
| cons a s ha ih =>
simp_rw [Finset.sum_cons, QuadraticMap.map_add, ih, add_assoc, Finset.sym2_cons,
Finset.sum_filter, Finset.sum_disjUnion, Finset.sum_map, Finset.sum_cons,
Sym2.mkEmbedding_apply, Sym2.isDiag_iff_proj_eq, not_true, if_false, zero_add,
Sym2.map_pair_eq, polarSym2_sym2Mk, ← polarBilin_apply_apply, _root_.map_sum,
polarBilin_apply_apply]
congr 2
rw [add_comm]
congr! with i hi
rw [if_pos (ne_of_mem_of_not_mem hi ha).symm]
protected theorem map_sum' {ι} (Q : QuadraticMap R M N) (s : Finset ι) (f : ι → M) :
Q (∑ i ∈ s, f i) = ∑ ij ∈ s.sym2, polarSym2 Q (ij.map f) - ∑ i ∈ s, Q (f i) := by
induction s using Finset.cons_induction with
| empty => simp
| cons a s ha ih =>
simp_rw [Finset.sum_cons, QuadraticMap.map_add Q, ih, add_assoc, Finset.sym2_cons,
Finset.sum_disjUnion, Finset.sum_map, Finset.sum_cons, Sym2.mkEmbedding_apply,
Sym2.map_pair_eq, polarSym2_sym2Mk, ← polarBilin_apply_apply, _root_.map_sum,
polarBilin_apply_apply, polar_self]
abel_nf
end CommRing
section SemiringOperators
variable [CommSemiring R] [AddCommMonoid M] [Module R M] [AddCommMonoid N] [Module R N]
section SMul
variable [Monoid S] [Monoid T] [DistribMulAction S N] [DistribMulAction T N]
variable [SMulCommClass S R N] [SMulCommClass T R N]
/-- `QuadraticMap R M N` inherits the scalar action from any algebra over `R`.
This provides an `R`-action via `Algebra.id`. -/
instance : SMul S (QuadraticMap R M N) :=
⟨fun a Q =>
{ toFun := a • ⇑Q
toFun_smul := fun b x => by
rw [Pi.smul_apply, Q.map_smul, Pi.smul_apply, smul_comm]
exists_companion' :=
let ⟨B, h⟩ := Q.exists_companion
letI := SMulCommClass.symm S R N
⟨a • B, by simp [h]⟩ }⟩
@[simp]
theorem coeFn_smul (a : S) (Q : QuadraticMap R M N) : ⇑(a • Q) = a • ⇑Q :=
rfl
@[simp]
theorem smul_apply (a : S) (Q : QuadraticMap R M N) (x : M) : (a • Q) x = a • Q x :=
rfl
instance [SMulCommClass S T N] : SMulCommClass S T (QuadraticMap R M N) where
smul_comm _s _t _q := ext fun _ => smul_comm _ _ _
instance [SMul S T] [IsScalarTower S T N] : IsScalarTower S T (QuadraticMap R M N) where
smul_assoc _s _t _q := ext fun _ => smul_assoc _ _ _
end SMul
instance : Zero (QuadraticMap R M N) :=
⟨{ toFun := fun _ => 0
toFun_smul := fun a _ => by simp only [smul_zero]
exists_companion' := ⟨0, fun _ _ => by simp only [add_zero, LinearMap.zero_apply]⟩ }⟩
@[simp]
theorem coeFn_zero : ⇑(0 : QuadraticMap R M N) = 0 :=
rfl
@[simp]
theorem zero_apply (x : M) : (0 : QuadraticMap R M N) x = 0 :=
rfl
instance : Inhabited (QuadraticMap R M N) :=
⟨0⟩
instance : Add (QuadraticMap R M N) :=
⟨fun Q Q' =>
{ toFun := Q + Q'
toFun_smul := fun a x => by simp only [Pi.add_apply, smul_add, QuadraticMap.map_smul]
exists_companion' :=
let ⟨B, h⟩ := Q.exists_companion
let ⟨B', h'⟩ := Q'.exists_companion
⟨B + B', fun x y => by
simp_rw [Pi.add_apply, h, h', LinearMap.add_apply, add_add_add_comm]⟩ }⟩
@[simp]
theorem coeFn_add (Q Q' : QuadraticMap R M N) : ⇑(Q + Q') = Q + Q' :=
rfl
@[simp]
theorem add_apply (Q Q' : QuadraticMap R M N) (x : M) : (Q + Q') x = Q x + Q' x :=
rfl
instance : AddCommMonoid (QuadraticMap R M N) :=
DFunLike.coe_injective.addCommMonoid _ coeFn_zero coeFn_add fun _ _ => coeFn_smul _ _
/-- `@CoeFn (QuadraticMap R M)` as an `AddMonoidHom`.
This API mirrors `AddMonoidHom.coeFn`. -/
@[simps apply]
def coeFnAddMonoidHom : QuadraticMap R M N →+ M → N where
toFun := DFunLike.coe
map_zero' := coeFn_zero
map_add' := coeFn_add
/-- Evaluation on a particular element of the module `M` is an additive map on quadratic maps. -/
@[simps! apply]
def evalAddMonoidHom (m : M) : QuadraticMap R M N →+ N :=
(Pi.evalAddMonoidHom _ m).comp coeFnAddMonoidHom
section Sum
@[simp]
theorem coeFn_sum {ι : Type*} (Q : ι → QuadraticMap R M N) (s : Finset ι) :
⇑(∑ i ∈ s, Q i) = ∑ i ∈ s, ⇑(Q i) :=
map_sum coeFnAddMonoidHom Q s
@[simp]
theorem sum_apply {ι : Type*} (Q : ι → QuadraticMap R M N) (s : Finset ι) (x : M) :
(∑ i ∈ s, Q i) x = ∑ i ∈ s, Q i x :=
map_sum (evalAddMonoidHom x : _ →+ N) Q s
end Sum
instance [Monoid S] [DistribMulAction S N] [SMulCommClass S R N] :
DistribMulAction S (QuadraticMap R M N) where
mul_smul a b Q := ext fun x => by simp only [smul_apply, mul_smul]
one_smul Q := ext fun x => by simp only [QuadraticMap.smul_apply, one_smul]
smul_add a Q Q' := by
ext
simp only [add_apply, smul_apply, smul_add]
smul_zero a := by
ext
simp only [zero_apply, smul_apply, smul_zero]
instance [Semiring S] [Module S N] [SMulCommClass S R N] :
Module S (QuadraticMap R M N) where
zero_smul Q := by
ext
simp only [zero_apply, smul_apply, zero_smul]
add_smul a b Q := by
ext
simp only [add_apply, smul_apply, add_smul]
end SemiringOperators
section RingOperators
variable [CommRing R] [AddCommGroup M] [Module R M] [AddCommGroup N] [Module R N]
instance : Neg (QuadraticMap R M N) :=
⟨fun Q =>
{ toFun := -Q
toFun_smul := fun a x => by simp only [Pi.neg_apply, Q.map_smul, smul_neg]
exists_companion' :=
let ⟨B, h⟩ := Q.exists_companion
⟨-B, fun x y => by simp_rw [Pi.neg_apply, h, LinearMap.neg_apply, neg_add]⟩ }⟩
@[simp]
theorem coeFn_neg (Q : QuadraticMap R M N) : ⇑(-Q) = -Q :=
rfl
@[simp]
theorem neg_apply (Q : QuadraticMap R M N) (x : M) : (-Q) x = -Q x :=
rfl
instance : Sub (QuadraticMap R M N) :=
⟨fun Q Q' => (Q + -Q').copy (Q - Q') (sub_eq_add_neg _ _)⟩
@[simp]
theorem coeFn_sub (Q Q' : QuadraticMap R M N) : ⇑(Q - Q') = Q - Q' :=
rfl
@[simp]
theorem sub_apply (Q Q' : QuadraticMap R M N) (x : M) : (Q - Q') x = Q x - Q' x :=
rfl
instance : AddCommGroup (QuadraticMap R M N) :=
DFunLike.coe_injective.addCommGroup _ coeFn_zero coeFn_add coeFn_neg coeFn_sub
(fun _ _ => coeFn_smul _ _) fun _ _ => coeFn_smul _ _
end RingOperators
section restrictScalars
variable [CommSemiring R] [CommSemiring S] [AddCommMonoid M] [Module R M] [AddCommMonoid N]
[Module R N] [Module S M] [Module S N] [Algebra S R]
variable [IsScalarTower S R M] [IsScalarTower S R N]
/-- If `Q : M → N` is a quadratic map of `R`-modules and `R` is an `S`-algebra,
then the restriction of scalars is a quadratic map of `S`-modules. -/
@[simps!]
def restrictScalars (Q : QuadraticMap R M N) : QuadraticMap S M N where
toFun x := Q x
toFun_smul a x := by
simp [map_smul_of_tower]
exists_companion' :=
let ⟨B, h⟩ := Q.exists_companion
⟨B.restrictScalars₁₂ (S := R) (R' := S) (S' := S), fun x y => by
simp only [LinearMap.restrictScalars₁₂_apply_apply, h]⟩
end restrictScalars
section Comp
variable [CommSemiring R] [AddCommMonoid M] [Module R M] [AddCommMonoid N] [Module R N]
variable [AddCommMonoid P] [Module R P]
/-- Compose the quadratic map with a linear function on the right. -/
def comp (Q : QuadraticMap R N P) (f : M →ₗ[R] N) : QuadraticMap R M P where
toFun x := Q (f x)
toFun_smul a x := by simp only [Q.map_smul, map_smul]
exists_companion' :=
let ⟨B, h⟩ := Q.exists_companion
⟨B.compl₁₂ f f, fun x y => by simp_rw [f.map_add]; exact h (f x) (f y)⟩
@[simp]
theorem comp_apply (Q : QuadraticMap R N P) (f : M →ₗ[R] N) (x : M) : (Q.comp f) x = Q (f x) :=
rfl
/-- Compose a quadratic map with a linear function on the left. -/
@[simps +simpRhs]
def _root_.LinearMap.compQuadraticMap (f : N →ₗ[R] P) (Q : QuadraticMap R M N) :
QuadraticMap R M P where
toFun x := f (Q x)
toFun_smul b x := by simp only [Q.map_smul, map_smul]
exists_companion' :=
let ⟨B, h⟩ := Q.exists_companion
⟨B.compr₂ f, fun x y => by simp only [h, map_add, LinearMap.compr₂_apply]⟩
/-- Compose a quadratic map with a linear function on the left. -/
@[simps! +simpRhs]
def _root_.LinearMap.compQuadraticMap' [CommSemiring S] [Algebra S R] [Module S N] [Module S M]
[IsScalarTower S R N] [IsScalarTower S R M] [Module S P]
(f : N →ₗ[S] P) (Q : QuadraticMap R M N) : QuadraticMap S M P :=
_root_.LinearMap.compQuadraticMap f Q.restrictScalars
/-- When `N` and `P` are equivalent, quadratic maps on `M` into `N` are equivalent to quadratic
maps on `M` into `P`.
See `LinearMap.BilinMap.congr₂` for the bilinear map version. -/
@[simps]
def _root_.LinearEquiv.congrQuadraticMap (e : N ≃ₗ[R] P) :
QuadraticMap R M N ≃ₗ[R] QuadraticMap R M P where
toFun Q := e.compQuadraticMap Q
invFun Q := e.symm.compQuadraticMap Q
left_inv _ := ext fun _ => e.symm_apply_apply _
right_inv _ := ext fun _ => e.apply_symm_apply _
map_add' _ _ := ext fun _ => map_add e _ _
map_smul' _ _ := ext fun _ => e.map_smul _ _
@[simp]
theorem _root_.LinearEquiv.congrQuadraticMap_refl :
LinearEquiv.congrQuadraticMap (.refl R N) = .refl R (QuadraticMap R M N) := rfl
@[simp]
theorem _root_.LinearEquiv.congrQuadraticMap_symm (e : N ≃ₗ[R] P) :
(LinearEquiv.congrQuadraticMap e (M := M)).symm = e.symm.congrQuadraticMap := rfl
end Comp
section NonUnitalNonAssocSemiring
variable [CommSemiring R] [NonUnitalNonAssocSemiring A] [AddCommMonoid M] [Module R M]
variable [Module R A] [SMulCommClass R A A] [IsScalarTower R A A]
/-- The product of linear maps into an `R`-algebra is a quadratic map. -/
def linMulLin (f g : M →ₗ[R] A) : QuadraticMap R M A where
toFun := f * g
toFun_smul a x := by
rw [Pi.mul_apply, Pi.mul_apply, LinearMap.map_smulₛₗ, RingHom.id_apply, LinearMap.map_smulₛₗ,
RingHom.id_apply, smul_mul_assoc, mul_smul_comm, ← smul_assoc, smul_eq_mul]
exists_companion' :=
⟨(LinearMap.mul R A).compl₁₂ f g + (LinearMap.mul R A).flip.compl₁₂ g f, fun x y => by
simp only [Pi.mul_apply, map_add, left_distrib, right_distrib, LinearMap.add_apply,
LinearMap.compl₁₂_apply, LinearMap.mul_apply', LinearMap.flip_apply]
abel_nf⟩
@[simp]
theorem linMulLin_apply (f g : M →ₗ[R] A) (x) : linMulLin f g x = f x * g x :=
rfl
@[simp]
theorem add_linMulLin (f g h : M →ₗ[R] A) : linMulLin (f + g) h = linMulLin f h + linMulLin g h :=
ext fun _ => add_mul _ _ _
@[simp]
theorem linMulLin_add (f g h : M →ₗ[R] A) : linMulLin f (g + h) = linMulLin f g + linMulLin f h :=
ext fun _ => mul_add _ _ _
variable {N' : Type*} [AddCommMonoid N'] [Module R N']
@[simp]
theorem linMulLin_comp (f g : M →ₗ[R] A) (h : N' →ₗ[R] M) :
(linMulLin f g).comp h = linMulLin (f.comp h) (g.comp h) :=
rfl
variable {n : Type*}
/-- `sq` is the quadratic map sending the vector `x : A` to `x * x` -/
@[simps!]
def sq : QuadraticMap R A A :=
linMulLin LinearMap.id LinearMap.id
/-- `proj i j` is the quadratic map sending the vector `x : n → R` to `x i * x j` -/
def proj (i j : n) : QuadraticMap R (n → A) A :=
linMulLin (@LinearMap.proj _ _ _ (fun _ => A) _ _ i) (@LinearMap.proj _ _ _ (fun _ => A) _ _ j)
@[simp]
theorem proj_apply (i j : n) (x : n → A) : proj (R := R) i j x = x i * x j :=
rfl
end NonUnitalNonAssocSemiring
end QuadraticMap
/-!
### Associated bilinear maps
If multiplication by 2 is invertible on the target module `N` of
`QuadraticMap R M N`, then there is a linear bijection `QuadraticMap.associated`
between quadratic maps `Q` over `R` from `M` to `N` and symmetric bilinear maps
`B : M →ₗ[R] M →ₗ[R] → N` such that `BilinMap.toQuadraticMap B = Q`
(see `QuadraticMap.associated_rightInverse`). The associated bilinear map is half
`Q.polarBilin` (see `QuadraticMap.two_nsmul_associated`); this is where the invertibility condition
comes from. We spell the condition as `[Invertible (2 : Module.End R N)]`.
Note that this makes the bijection available in more cases than the simpler condition
`Invertible (2 : R)`, e.g., when `R = ℤ` and `N = ℝ`.
-/
namespace LinearMap
namespace BilinMap
open QuadraticMap
open LinearMap (BilinMap)
section Semiring
variable [CommSemiring R] [AddCommMonoid M] [Module R M] [AddCommMonoid N] [Module R N]
variable {N' : Type*} [AddCommMonoid N'] [Module R N']
/-- A bilinear map gives a quadratic map by applying the argument twice. -/
def toQuadraticMap (B : BilinMap R M N) : QuadraticMap R M N where
toFun x := B x x
toFun_smul a x := by simp only [map_smul, LinearMap.smul_apply, smul_smul]
exists_companion' := ⟨B + LinearMap.flip B, fun x y => by simp [add_add_add_comm, add_comm]⟩
@[simp]
theorem toQuadraticMap_apply (B : BilinMap R M N) (x : M) : B.toQuadraticMap x = B x x :=
rfl
theorem toQuadraticMap_comp_same (B : BilinMap R M N) (f : N' →ₗ[R] M) :
BilinMap.toQuadraticMap (B.compl₁₂ f f) = B.toQuadraticMap.comp f := rfl
section
variable (R M)
@[simp]
theorem toQuadraticMap_zero : (0 : BilinMap R M N).toQuadraticMap = 0 :=
rfl
end
@[simp]
theorem toQuadraticMap_add (B₁ B₂ : BilinMap R M N) :
(B₁ + B₂).toQuadraticMap = B₁.toQuadraticMap + B₂.toQuadraticMap :=
rfl
@[simp]
theorem toQuadraticMap_smul [Monoid S] [DistribMulAction S N] [SMulCommClass S R N]
[SMulCommClass R S N] (a : S)
(B : BilinMap R M N) : (a • B).toQuadraticMap = a • B.toQuadraticMap :=
rfl
section
variable (S R M)
/-- `LinearMap.BilinMap.toQuadraticMap` as an additive homomorphism -/
@[simps]
def toQuadraticMapAddMonoidHom : (BilinMap R M N) →+ QuadraticMap R M N where
toFun := toQuadraticMap
map_zero' := toQuadraticMap_zero _ _
map_add' := toQuadraticMap_add
/-- `LinearMap.BilinMap.toQuadraticMap` as a linear map -/
@[simps!]
def toQuadraticMapLinearMap [Semiring S] [Module S N] [SMulCommClass S R N] [SMulCommClass R S N] :
(BilinMap R M N) →ₗ[S] QuadraticMap R M N where
toFun := toQuadraticMap
map_smul' := toQuadraticMap_smul
map_add' := toQuadraticMap_add
end
@[simp]
theorem toQuadraticMap_list_sum (B : List (BilinMap R M N)) :
B.sum.toQuadraticMap = (B.map toQuadraticMap).sum :=
map_list_sum (toQuadraticMapAddMonoidHom R M) B
@[simp]
theorem toQuadraticMap_multiset_sum (B : Multiset (BilinMap R M N)) :
B.sum.toQuadraticMap = (B.map toQuadraticMap).sum :=
map_multiset_sum (toQuadraticMapAddMonoidHom R M) B
@[simp]
theorem toQuadraticMap_sum {ι : Type*} (s : Finset ι) (B : ι → (BilinMap R M N)) :
(∑ i ∈ s, B i).toQuadraticMap = ∑ i ∈ s, (B i).toQuadraticMap :=
map_sum (toQuadraticMapAddMonoidHom R M) B s
@[simp]
theorem toQuadraticMap_eq_zero {B : BilinMap R M N} :
B.toQuadraticMap = 0 ↔ B.IsAlt :=
QuadraticMap.ext_iff
end Semiring
section Ring
variable [CommRing R] [AddCommGroup M] [AddCommGroup N] [Module R M] [Module R N]
variable {B : BilinMap R M N}
@[simp]
theorem toQuadraticMap_neg (B : BilinMap R M N) : (-B).toQuadraticMap = -B.toQuadraticMap :=
rfl
@[simp]
theorem toQuadraticMap_sub (B₁ B₂ : BilinMap R M N) :
(B₁ - B₂).toQuadraticMap = B₁.toQuadraticMap - B₂.toQuadraticMap :=
rfl
theorem polar_toQuadraticMap (x y : M) : polar (toQuadraticMap B) x y = B x y + B y x := by
simp only [polar, toQuadraticMap_apply, map_add, add_apply, add_assoc, add_comm (B y x) _,
add_sub_cancel_left, sub_eq_add_neg _ (B y y), add_neg_cancel_left]
theorem polarBilin_toQuadraticMap : polarBilin (toQuadraticMap B) = B + flip B :=
LinearMap.ext₂ polar_toQuadraticMap
@[simp] theorem _root_.QuadraticMap.toQuadraticMap_polarBilin (Q : QuadraticMap R M N) :
toQuadraticMap (polarBilin Q) = 2 • Q :=
QuadraticMap.ext fun x => (polar_self _ x).trans <| by simp
theorem _root_.QuadraticMap.polarBilin_injective (h : IsUnit (2 : R)) :
Function.Injective (polarBilin : QuadraticMap R M N → _) := by
intro Q₁ Q₂ h₁₂
apply h.smul_left_cancel.mp
rw [show (2 : R) = (2 : ℕ) by rfl]
simp_rw [Nat.cast_smul_eq_nsmul R, ← QuadraticMap.toQuadraticMap_polarBilin]
exact congrArg toQuadraticMap h₁₂
section
variable {N' : Type*} [AddCommGroup N'] [Module R N']
theorem _root_.QuadraticMap.polarBilin_comp (Q : QuadraticMap R N' N) (f : M →ₗ[R] N') :
polarBilin (Q.comp f) = LinearMap.compl₁₂ (polarBilin Q) f f :=
LinearMap.ext₂ <| fun x y => by simp [polar]
end
variable {N' : Type*} [AddCommGroup N']
theorem _root_.LinearMap.compQuadraticMap_polar [CommSemiring S] [Algebra S R] [Module S N]
[Module S N'] [IsScalarTower S R N] [Module S M] [IsScalarTower S R M] (f : N →ₗ[S] N')
(Q : QuadraticMap R M N) (x y : M) : polar (f.compQuadraticMap' Q) x y = f (polar Q x y) := by
simp [polar]
variable [Module R N']
theorem _root_.LinearMap.compQuadraticMap_polarBilin (f : N →ₗ[R] N') (Q : QuadraticMap R M N) :
(f.compQuadraticMap' Q).polarBilin = Q.polarBilin.compr₂ f := by
ext
rw [polarBilin_apply_apply, compr₂_apply, polarBilin_apply_apply,
LinearMap.compQuadraticMap_polar]
end Ring
end BilinMap
end LinearMap
namespace QuadraticMap
open LinearMap (BilinMap)
section
variable [Semiring R] [AddCommMonoid M] [Module R M]
|
instance : SMulCommClass R (Submonoid.center R) M where
smul_comm r r' m := by
| Mathlib/LinearAlgebra/QuadraticForm/Basic.lean | 840 | 842 |
/-
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.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Equiv
import Mathlib.Analysis.Calculus.FDeriv.Prod
import Mathlib.Analysis.Calculus.Monotone
import Mathlib.Topology.EMetricSpace.BoundedVariation
/-!
# Almost everywhere differentiability of functions with locally bounded variation
In this file we show that a bounded variation function is differentiable almost everywhere.
This implies that Lipschitz functions from the real line into finite-dimensional vector space
are also differentiable almost everywhere.
## Main definitions and results
* `LocallyBoundedVariationOn.ae_differentiableWithinAt` shows that a bounded variation
function into a finite dimensional real vector space is differentiable almost everywhere.
* `LipschitzOnWith.ae_differentiableWithinAt` is the same result for Lipschitz functions.
We also give several variations around these results.
-/
open scoped NNReal ENNReal Topology
open Set MeasureTheory Filter
variable {α : Type*} [LinearOrder α] {E : Type*} [PseudoEMetricSpace E]
/-! ## -/
variable {V : Type*} [NormedAddCommGroup V] [NormedSpace ℝ V] [FiniteDimensional ℝ V]
namespace LocallyBoundedVariationOn
/-- A bounded variation function into `ℝ` is differentiable almost everywhere. Superseded by
`ae_differentiableWithinAt_of_mem`. -/
theorem ae_differentiableWithinAt_of_mem_real {f : ℝ → ℝ} {s : Set ℝ}
(h : LocallyBoundedVariationOn f s) : ∀ᵐ x, x ∈ s → DifferentiableWithinAt ℝ f s x := by
obtain ⟨p, q, hp, hq, rfl⟩ : ∃ p q, MonotoneOn p s ∧ MonotoneOn q s ∧ f = p - q :=
h.exists_monotoneOn_sub_monotoneOn
filter_upwards [hp.ae_differentiableWithinAt_of_mem, hq.ae_differentiableWithinAt_of_mem] with
x hxp hxq xs
exact (hxp xs).sub (hxq xs)
/-- A bounded variation function into a finite dimensional product vector space is differentiable
almost everywhere. Superseded by `ae_differentiableWithinAt_of_mem`. -/
theorem ae_differentiableWithinAt_of_mem_pi {ι : Type*} [Fintype ι] {f : ℝ → ι → ℝ} {s : Set ℝ}
(h : LocallyBoundedVariationOn f s) : ∀ᵐ x, x ∈ s → DifferentiableWithinAt ℝ f s x := by
have A : ∀ i : ι, LipschitzWith 1 fun x : ι → ℝ => x i := fun i => LipschitzWith.eval i
have : ∀ i : ι, ∀ᵐ x, x ∈ s → DifferentiableWithinAt ℝ (fun x : ℝ => f x i) s x := fun i ↦ by
apply ae_differentiableWithinAt_of_mem_real
exact LipschitzWith.comp_locallyBoundedVariationOn (A i) h
filter_upwards [ae_all_iff.2 this] with x hx xs
exact differentiableWithinAt_pi.2 fun i => hx i xs
/-- A real function into a finite dimensional real vector space with bounded variation on a set
is differentiable almost everywhere in this set. -/
theorem ae_differentiableWithinAt_of_mem {f : ℝ → V} {s : Set ℝ}
(h : LocallyBoundedVariationOn f s) : ∀ᵐ x, x ∈ s → DifferentiableWithinAt ℝ f s x := by
let A := (Basis.ofVectorSpace ℝ V).equivFun.toContinuousLinearEquiv
suffices H : ∀ᵐ x, x ∈ s → DifferentiableWithinAt ℝ (A ∘ f) s x by
filter_upwards [H] with x hx xs
have : f = (A.symm ∘ A) ∘ f := by
simp only [ContinuousLinearEquiv.symm_comp_self, Function.id_comp]
rw [this]
exact A.symm.differentiableAt.comp_differentiableWithinAt x (hx xs)
apply ae_differentiableWithinAt_of_mem_pi
exact A.lipschitz.comp_locallyBoundedVariationOn h
/-- A real function into a finite dimensional real vector space with bounded variation on a set
is differentiable almost everywhere in this set. -/
theorem ae_differentiableWithinAt {f : ℝ → V} {s : Set ℝ} (h : LocallyBoundedVariationOn f s)
(hs : MeasurableSet s) : ∀ᵐ x ∂volume.restrict s, DifferentiableWithinAt ℝ f s x := by
rw [ae_restrict_iff' hs]
exact h.ae_differentiableWithinAt_of_mem
/-- A real function into a finite dimensional real vector space with bounded variation
is differentiable almost everywhere. -/
theorem ae_differentiableAt {f : ℝ → V} (h : LocallyBoundedVariationOn f univ) :
∀ᵐ x, DifferentiableAt ℝ f x := by
filter_upwards [h.ae_differentiableWithinAt_of_mem] with x hx
rw [differentiableWithinAt_univ] at hx
exact hx (mem_univ _)
end LocallyBoundedVariationOn
/-- A real function into a finite dimensional real vector space which is Lipschitz on a set
is differentiable almost everywhere in this set. For the general Rademacher theorem assuming
that the source space is finite dimensional, see `LipschitzOnWith.ae_differentiableWithinAt_of_mem`.
-/
theorem LipschitzOnWith.ae_differentiableWithinAt_of_mem_real {C : ℝ≥0} {f : ℝ → V} {s : Set ℝ}
(h : LipschitzOnWith C f s) : ∀ᵐ x, x ∈ s → DifferentiableWithinAt ℝ f s x :=
h.locallyBoundedVariationOn.ae_differentiableWithinAt_of_mem
/-- A real function into a finite dimensional real vector space which is Lipschitz on a set
is differentiable almost everywhere in this set. For the general Rademacher theorem assuming
that the source space is finite dimensional, see `LipschitzOnWith.ae_differentiableWithinAt`. -/
theorem LipschitzOnWith.ae_differentiableWithinAt_real {C : ℝ≥0} {f : ℝ → V} {s : Set ℝ}
(h : LipschitzOnWith C f s) (hs : MeasurableSet s) :
∀ᵐ x ∂volume.restrict s, DifferentiableWithinAt ℝ f s x :=
h.locallyBoundedVariationOn.ae_differentiableWithinAt hs
/-- A real Lipschitz function into a finite dimensional real vector space is differentiable
almost everywhere. For the general Rademacher theorem assuming
that the source space is finite dimensional, see `LipschitzWith.ae_differentiableAt`. -/
theorem LipschitzWith.ae_differentiableAt_real {C : ℝ≥0} {f : ℝ → V} (h : LipschitzWith C f) :
∀ᵐ x, DifferentiableAt ℝ f x :=
(h.locallyBoundedVariationOn univ).ae_differentiableAt
| Mathlib/Analysis/BoundedVariation.lean | 735 | 739 | |
/-
Copyright (c) 2018 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Reid Barton, Mario Carneiro, Kim Morrison, Floris van Doorn
-/
import Mathlib.CategoryTheory.Limits.IsLimit
import Mathlib.CategoryTheory.Category.ULift
import Mathlib.CategoryTheory.EssentiallySmall
import Mathlib.CategoryTheory.Functor.EpiMono
import Mathlib.Logic.Equiv.Basic
/-!
# Existence of limits and colimits
In `CategoryTheory.Limits.IsLimit` we defined `IsLimit c`,
the data showing that a cone `c` is a limit cone.
The two main structures defined in this file are:
* `LimitCone F`, which consists of a choice of cone for `F` and the fact it is a limit cone, and
* `HasLimit F`, asserting the mere existence of some limit cone for `F`.
`HasLimit` is a propositional typeclass
(it's important that it is a proposition merely asserting the existence of a limit,
as otherwise we would have non-defeq problems from incompatible instances).
While `HasLimit` only asserts the existence of a limit cone,
we happily use the axiom of choice in mathlib,
so there are convenience functions all depending on `HasLimit F`:
* `limit F : C`, producing some limit object (of course all such are isomorphic)
* `limit.π F j : limit F ⟶ F.obj j`, the morphisms out of the limit,
* `limit.lift F c : c.pt ⟶ limit F`, the universal morphism from any other `c : Cone F`, etc.
Key to using the `HasLimit` interface is that there is an `@[ext]` lemma stating that
to check `f = g`, for `f g : Z ⟶ limit F`, it suffices to check `f ≫ limit.π F j = g ≫ limit.π F j`
for every `j`.
This, combined with `@[simp]` lemmas, makes it possible to prove many easy facts about limits using
automation (e.g. `tidy`).
There are abbreviations `HasLimitsOfShape J C` and `HasLimits C`
asserting the existence of classes of limits.
Later more are introduced, for finite limits, special shapes of limits, etc.
Ideally, many results about limits should be stated first in terms of `IsLimit`,
and then a result in terms of `HasLimit` derived from this.
At this point, however, this is far from uniformly achieved in mathlib ---
often statements are only written in terms of `HasLimit`.
## Implementation
At present we simply say everything twice, in order to handle both limits and colimits.
It would be highly desirable to have some automation support,
e.g. a `@[dualize]` attribute that behaves similarly to `@[to_additive]`.
## References
* [Stacks: Limits and colimits](https://stacks.math.columbia.edu/tag/002D)
-/
noncomputable section
open CategoryTheory CategoryTheory.Category CategoryTheory.Functor Opposite
namespace CategoryTheory.Limits
-- morphism levels before object levels. See note [CategoryTheory universes].
universe v₁ u₁ v₂ u₂ v₃ u₃ v v' v'' u u' u''
variable {J : Type u₁} [Category.{v₁} J] {K : Type u₂} [Category.{v₂} K]
variable {C : Type u} [Category.{v} C]
variable {F : J ⥤ C}
section Limit
/-- `LimitCone F` contains a cone over `F` together with the information that it is a limit. -/
structure LimitCone (F : J ⥤ C) where
/-- The cone itself -/
cone : Cone F
/-- The proof that is the limit cone -/
isLimit : IsLimit cone
/-- `HasLimit F` represents the mere existence of a limit for `F`. -/
class HasLimit (F : J ⥤ C) : Prop where mk' ::
/-- There is some limit cone for `F` -/
exists_limit : Nonempty (LimitCone F)
theorem HasLimit.mk {F : J ⥤ C} (d : LimitCone F) : HasLimit F :=
⟨Nonempty.intro d⟩
/-- Use the axiom of choice to extract explicit `LimitCone F` from `HasLimit F`. -/
def getLimitCone (F : J ⥤ C) [HasLimit F] : LimitCone F :=
Classical.choice <| HasLimit.exists_limit
variable (J C)
/-- `C` has limits of shape `J` if there exists a limit for every functor `F : J ⥤ C`. -/
class HasLimitsOfShape : Prop where
/-- All functors `F : J ⥤ C` from `J` have limits -/
has_limit : ∀ F : J ⥤ C, HasLimit F := by infer_instance
/-- `C` has all limits of size `v₁ u₁` (`HasLimitsOfSize.{v₁ u₁} C`)
if it has limits of every shape `J : Type u₁` with `[Category.{v₁} J]`.
-/
@[pp_with_univ]
class HasLimitsOfSize (C : Type u) [Category.{v} C] : Prop where
/-- All functors `F : J ⥤ C` from all small `J` have limits -/
has_limits_of_shape : ∀ (J : Type u₁) [Category.{v₁} J], HasLimitsOfShape J C := by
infer_instance
/-- `C` has all (small) limits if it has limits of every shape that is as big as its hom-sets. -/
abbrev HasLimits (C : Type u) [Category.{v} C] : Prop :=
HasLimitsOfSize.{v, v} C
theorem HasLimits.has_limits_of_shape {C : Type u} [Category.{v} C] [HasLimits C] (J : Type v)
[Category.{v} J] : HasLimitsOfShape J C :=
HasLimitsOfSize.has_limits_of_shape J
variable {J C}
-- see Note [lower instance priority]
instance (priority := 100) hasLimitOfHasLimitsOfShape {J : Type u₁} [Category.{v₁} J]
[HasLimitsOfShape J C] (F : J ⥤ C) : HasLimit F :=
HasLimitsOfShape.has_limit F
-- see Note [lower instance priority]
instance (priority := 100) hasLimitsOfShapeOfHasLimits {J : Type u₁} [Category.{v₁} J]
[HasLimitsOfSize.{v₁, u₁} C] : HasLimitsOfShape J C :=
HasLimitsOfSize.has_limits_of_shape J
-- Interface to the `HasLimit` class.
/-- An arbitrary choice of limit cone for a functor. -/
def limit.cone (F : J ⥤ C) [HasLimit F] : Cone F :=
(getLimitCone F).cone
/-- An arbitrary choice of limit object of a functor. -/
def limit (F : J ⥤ C) [HasLimit F] :=
(limit.cone F).pt
/-- The projection from the limit object to a value of the functor. -/
def limit.π (F : J ⥤ C) [HasLimit F] (j : J) : limit F ⟶ F.obj j :=
(limit.cone F).π.app j
@[reassoc]
theorem limit.π_comp_eqToHom (F : J ⥤ C) [HasLimit F] {j j' : J} (hj : j = j') :
limit.π F j ≫ eqToHom (by subst hj; rfl) = limit.π F j' := by
subst hj
simp
@[simp]
theorem limit.cone_x {F : J ⥤ C} [HasLimit F] : (limit.cone F).pt = limit F :=
rfl
@[simp]
theorem limit.cone_π {F : J ⥤ C} [HasLimit F] : (limit.cone F).π.app = limit.π _ :=
rfl
@[reassoc (attr := simp)]
theorem limit.w (F : J ⥤ C) [HasLimit F] {j j' : J} (f : j ⟶ j') :
limit.π F j ≫ F.map f = limit.π F j' :=
(limit.cone F).w f
/-- Evidence that the arbitrary choice of cone provided by `limit.cone F` is a limit cone. -/
def limit.isLimit (F : J ⥤ C) [HasLimit F] : IsLimit (limit.cone F) :=
(getLimitCone F).isLimit
/-- The morphism from the cone point of any other cone to the limit object. -/
def limit.lift (F : J ⥤ C) [HasLimit F] (c : Cone F) : c.pt ⟶ limit F :=
(limit.isLimit F).lift c
@[simp]
theorem limit.isLimit_lift {F : J ⥤ C} [HasLimit F] (c : Cone F) :
(limit.isLimit F).lift c = limit.lift F c :=
rfl
@[reassoc (attr := simp)]
theorem limit.lift_π {F : J ⥤ C} [HasLimit F] (c : Cone F) (j : J) :
limit.lift F c ≫ limit.π F j = c.π.app j :=
IsLimit.fac _ c j
/-- Functoriality of limits.
Usually this morphism should be accessed through `lim.map`,
but may be needed separately when you have specified limits for the source and target functors,
but not necessarily for all functors of shape `J`.
-/
def limMap {F G : J ⥤ C} [HasLimit F] [HasLimit G] (α : F ⟶ G) : limit F ⟶ limit G :=
IsLimit.map _ (limit.isLimit G) α
@[reassoc (attr := simp)]
theorem limMap_π {F G : J ⥤ C} [HasLimit F] [HasLimit G] (α : F ⟶ G) (j : J) :
limMap α ≫ limit.π G j = limit.π F j ≫ α.app j :=
limit.lift_π _ j
/-- The cone morphism from any cone to the arbitrary choice of limit cone. -/
def limit.coneMorphism {F : J ⥤ C} [HasLimit F] (c : Cone F) : c ⟶ limit.cone F :=
(limit.isLimit F).liftConeMorphism c
@[simp]
theorem limit.coneMorphism_hom {F : J ⥤ C} [HasLimit F] (c : Cone F) :
(limit.coneMorphism c).hom = limit.lift F c :=
rfl
theorem limit.coneMorphism_π {F : J ⥤ C} [HasLimit F] (c : Cone F) (j : J) :
(limit.coneMorphism c).hom ≫ limit.π F j = c.π.app j := by simp
@[reassoc (attr := simp)]
theorem limit.conePointUniqueUpToIso_hom_comp {F : J ⥤ C} [HasLimit F] {c : Cone F} (hc : IsLimit c)
(j : J) : (IsLimit.conePointUniqueUpToIso hc (limit.isLimit _)).hom ≫ limit.π F j = c.π.app j :=
IsLimit.conePointUniqueUpToIso_hom_comp _ _ _
@[reassoc (attr := simp)]
theorem limit.conePointUniqueUpToIso_inv_comp {F : J ⥤ C} [HasLimit F] {c : Cone F} (hc : IsLimit c)
(j : J) : (IsLimit.conePointUniqueUpToIso (limit.isLimit _) hc).inv ≫ limit.π F j = c.π.app j :=
IsLimit.conePointUniqueUpToIso_inv_comp _ _ _
theorem limit.existsUnique {F : J ⥤ C} [HasLimit F] (t : Cone F) :
∃! l : t.pt ⟶ limit F, ∀ j, l ≫ limit.π F j = t.π.app j :=
(limit.isLimit F).existsUnique _
/-- Given any other limit cone for `F`, the chosen `limit F` is isomorphic to the cone point.
-/
def limit.isoLimitCone {F : J ⥤ C} [HasLimit F] (t : LimitCone F) : limit F ≅ t.cone.pt :=
IsLimit.conePointUniqueUpToIso (limit.isLimit F) t.isLimit
@[reassoc (attr := simp)]
theorem limit.isoLimitCone_hom_π {F : J ⥤ C} [HasLimit F] (t : LimitCone F) (j : J) :
(limit.isoLimitCone t).hom ≫ t.cone.π.app j = limit.π F j := by
dsimp [limit.isoLimitCone, IsLimit.conePointUniqueUpToIso]
simp
@[reassoc (attr := simp)]
theorem limit.isoLimitCone_inv_π {F : J ⥤ C} [HasLimit F] (t : LimitCone F) (j : J) :
(limit.isoLimitCone t).inv ≫ limit.π F j = t.cone.π.app j := by
dsimp [limit.isoLimitCone, IsLimit.conePointUniqueUpToIso]
simp
@[ext]
theorem limit.hom_ext {F : J ⥤ C} [HasLimit F] {X : C} {f f' : X ⟶ limit F}
(w : ∀ j, f ≫ limit.π F j = f' ≫ limit.π F j) : f = f' :=
(limit.isLimit F).hom_ext w
@[reassoc (attr := simp)]
theorem limit.lift_map {F G : J ⥤ C} [HasLimit F] [HasLimit G] (c : Cone F) (α : F ⟶ G) :
limit.lift F c ≫ limMap α = limit.lift G ((Cones.postcompose α).obj c) := by
ext
rw [assoc, limMap_π, limit.lift_π_assoc, limit.lift_π]
rfl
@[simp]
theorem limit.lift_cone {F : J ⥤ C} [HasLimit F] : limit.lift F (limit.cone F) = 𝟙 (limit F) :=
(limit.isLimit _).lift_self
/-- The isomorphism (in `Type`) between
morphisms from a specified object `W` to the limit object,
and cones with cone point `W`.
-/
def limit.homIso (F : J ⥤ C) [HasLimit F] (W : C) :
ULift.{u₁} (W ⟶ limit F : Type v) ≅ F.cones.obj (op W) :=
(limit.isLimit F).homIso W
@[simp]
theorem limit.homIso_hom (F : J ⥤ C) [HasLimit F] {W : C} (f : ULift (W ⟶ limit F)) :
(limit.homIso F W).hom f = (const J).map f.down ≫ (limit.cone F).π :=
(limit.isLimit F).homIso_hom f
/-- The isomorphism (in `Type`) between
morphisms from a specified object `W` to the limit object,
and an explicit componentwise description of cones with cone point `W`.
-/
def limit.homIso' (F : J ⥤ C) [HasLimit F] (W : C) :
ULift.{u₁} (W ⟶ limit F : Type v) ≅
{ p : ∀ j, W ⟶ F.obj j // ∀ {j j' : J} (f : j ⟶ j'), p j ≫ F.map f = p j' } :=
(limit.isLimit F).homIso' W
theorem limit.lift_extend {F : J ⥤ C} [HasLimit F] (c : Cone F) {X : C} (f : X ⟶ c.pt) :
limit.lift F (c.extend f) = f ≫ limit.lift F c := by aesop_cat
/-- If a functor `F` has a limit, so does any naturally isomorphic functor.
-/
theorem hasLimit_of_iso {F G : J ⥤ C} [HasLimit F] (α : F ≅ G) : HasLimit G :=
HasLimit.mk
{ cone := (Cones.postcompose α.hom).obj (limit.cone F)
isLimit := (IsLimit.postcomposeHomEquiv _ _).symm (limit.isLimit F) }
@[deprecated (since := "2025-03-03")] alias hasLimitOfIso := hasLimit_of_iso
theorem hasLimit_iff_of_iso {F G : J ⥤ C} (α : F ≅ G) : HasLimit F ↔ HasLimit G :=
⟨fun _ ↦ hasLimit_of_iso α, fun _ ↦ hasLimit_of_iso α.symm⟩
-- See the construction of limits from products and equalizers
-- for an example usage.
/-- If a functor `G` has the same collection of cones as a functor `F`
which has a limit, then `G` also has a limit. -/
theorem HasLimit.ofConesIso {J K : Type u₁} [Category.{v₁} J] [Category.{v₂} K] (F : J ⥤ C)
(G : K ⥤ C) (h : F.cones ≅ G.cones) [HasLimit F] : HasLimit G :=
HasLimit.mk ⟨_, IsLimit.ofNatIso (IsLimit.natIso (limit.isLimit F) ≪≫ h)⟩
/-- The limits of `F : J ⥤ C` and `G : J ⥤ C` are isomorphic,
if the functors are naturally isomorphic.
-/
def HasLimit.isoOfNatIso {F G : J ⥤ C} [HasLimit F] [HasLimit G] (w : F ≅ G) : limit F ≅ limit G :=
IsLimit.conePointsIsoOfNatIso (limit.isLimit F) (limit.isLimit G) w
@[reassoc (attr := simp)]
theorem HasLimit.isoOfNatIso_hom_π {F G : J ⥤ C} [HasLimit F] [HasLimit G] (w : F ≅ G) (j : J) :
(HasLimit.isoOfNatIso w).hom ≫ limit.π G j = limit.π F j ≫ w.hom.app j :=
IsLimit.conePointsIsoOfNatIso_hom_comp _ _ _ _
@[reassoc (attr := simp)]
theorem HasLimit.isoOfNatIso_inv_π {F G : J ⥤ C} [HasLimit F] [HasLimit G] (w : F ≅ G) (j : J) :
(HasLimit.isoOfNatIso w).inv ≫ limit.π F j = limit.π G j ≫ w.inv.app j :=
IsLimit.conePointsIsoOfNatIso_inv_comp _ _ _ _
@[reassoc (attr := simp)]
theorem HasLimit.lift_isoOfNatIso_hom {F G : J ⥤ C} [HasLimit F] [HasLimit G] (t : Cone F)
(w : F ≅ G) :
limit.lift F t ≫ (HasLimit.isoOfNatIso w).hom =
limit.lift G ((Cones.postcompose w.hom).obj _) :=
IsLimit.lift_comp_conePointsIsoOfNatIso_hom _ _ _
@[reassoc (attr := simp)]
theorem HasLimit.lift_isoOfNatIso_inv {F G : J ⥤ C} [HasLimit F] [HasLimit G] (t : Cone G)
(w : F ≅ G) :
limit.lift G t ≫ (HasLimit.isoOfNatIso w).inv =
limit.lift F ((Cones.postcompose w.inv).obj _) :=
IsLimit.lift_comp_conePointsIsoOfNatIso_inv _ _ _
/-- The limits of `F : J ⥤ C` and `G : K ⥤ C` are isomorphic,
if there is an equivalence `e : J ≌ K` making the triangle commute up to natural isomorphism.
-/
def HasLimit.isoOfEquivalence {F : J ⥤ C} [HasLimit F] {G : K ⥤ C} [HasLimit G] (e : J ≌ K)
(w : e.functor ⋙ G ≅ F) : limit F ≅ limit G :=
IsLimit.conePointsIsoOfEquivalence (limit.isLimit F) (limit.isLimit G) e w
@[simp]
theorem HasLimit.isoOfEquivalence_hom_π {F : J ⥤ C} [HasLimit F] {G : K ⥤ C} [HasLimit G]
(e : J ≌ K) (w : e.functor ⋙ G ≅ F) (k : K) :
(HasLimit.isoOfEquivalence e w).hom ≫ limit.π G k =
limit.π F (e.inverse.obj k) ≫ w.inv.app (e.inverse.obj k) ≫ G.map (e.counit.app k) := by
simp only [HasLimit.isoOfEquivalence, IsLimit.conePointsIsoOfEquivalence_hom]
dsimp
simp
@[simp]
theorem HasLimit.isoOfEquivalence_inv_π {F : J ⥤ C} [HasLimit F] {G : K ⥤ C} [HasLimit G]
(e : J ≌ K) (w : e.functor ⋙ G ≅ F) (j : J) :
(HasLimit.isoOfEquivalence e w).inv ≫ limit.π F j =
limit.π G (e.functor.obj j) ≫ w.hom.app j := by
simp only [HasLimit.isoOfEquivalence, IsLimit.conePointsIsoOfEquivalence_hom]
dsimp
simp
section Pre
variable (F)
variable [HasLimit F] (E : K ⥤ J) [HasLimit (E ⋙ F)]
/-- The canonical morphism from the limit of `F` to the limit of `E ⋙ F`.
-/
def limit.pre : limit F ⟶ limit (E ⋙ F) :=
limit.lift (E ⋙ F) ((limit.cone F).whisker E)
@[reassoc (attr := simp)]
theorem limit.pre_π (k : K) : limit.pre F E ≫ limit.π (E ⋙ F) k = limit.π F (E.obj k) := by
erw [IsLimit.fac]
rfl
@[simp]
theorem limit.lift_pre (c : Cone F) :
limit.lift F c ≫ limit.pre F E = limit.lift (E ⋙ F) (c.whisker E) := by ext; simp
variable {L : Type u₃} [Category.{v₃} L]
variable (D : L ⥤ K)
@[simp]
theorem limit.pre_pre [h : HasLimit (D ⋙ E ⋙ F)] : haveI : HasLimit ((D ⋙ E) ⋙ F) := h
limit.pre F E ≫ limit.pre (E ⋙ F) D = limit.pre F (D ⋙ E) := by
haveI : HasLimit ((D ⋙ E) ⋙ F) := h
ext j; erw [assoc, limit.pre_π, limit.pre_π, limit.pre_π]; rfl
variable {E F}
/-- -
If we have particular limit cones available for `E ⋙ F` and for `F`,
we obtain a formula for `limit.pre F E`.
-/
theorem limit.pre_eq (s : LimitCone (E ⋙ F)) (t : LimitCone F) :
limit.pre F E = (limit.isoLimitCone t).hom ≫ s.isLimit.lift (t.cone.whisker E) ≫
(limit.isoLimitCone s).inv := by aesop_cat
end Pre
section Post
variable {D : Type u'} [Category.{v'} D]
variable (F : J ⥤ C) [HasLimit F] (G : C ⥤ D) [HasLimit (F ⋙ G)]
/-- The canonical morphism from `G` applied to the limit of `F` to the limit of `F ⋙ G`.
-/
def limit.post : G.obj (limit F) ⟶ limit (F ⋙ G) :=
limit.lift (F ⋙ G) (G.mapCone (limit.cone F))
@[reassoc (attr := simp)]
theorem limit.post_π (j : J) : limit.post F G ≫ limit.π (F ⋙ G) j = G.map (limit.π F j) := by
erw [IsLimit.fac]
rfl
@[simp]
theorem limit.lift_post (c : Cone F) :
G.map (limit.lift F c) ≫ limit.post F G = limit.lift (F ⋙ G) (G.mapCone c) := by
ext
rw [assoc, limit.post_π, ← G.map_comp, limit.lift_π, limit.lift_π]
rfl
@[simp]
theorem limit.post_post {E : Type u''} [Category.{v''} E] (H : D ⥤ E) [h : HasLimit ((F ⋙ G) ⋙ H)] :
-- H G (limit F) ⟶ H (limit (F ⋙ G)) ⟶ limit ((F ⋙ G) ⋙ H) equals
-- H G (limit F) ⟶ limit (F ⋙ (G ⋙ H))
haveI : HasLimit (F ⋙ G ⋙ H) := h
H.map (limit.post F G) ≫ limit.post (F ⋙ G) H = limit.post F (G ⋙ H) := by
haveI : HasLimit (F ⋙ G ⋙ H) := h
ext; erw [assoc, limit.post_π, ← H.map_comp, limit.post_π, limit.post_π]; rfl
end Post
theorem limit.pre_post {D : Type u'} [Category.{v'} D] (E : K ⥤ J) (F : J ⥤ C) (G : C ⥤ D)
[HasLimit F] [HasLimit (E ⋙ F)] [HasLimit (F ⋙ G)]
[h : HasLimit ((E ⋙ F) ⋙ G)] :-- G (limit F) ⟶ G (limit (E ⋙ F)) ⟶ limit ((E ⋙ F) ⋙ G) vs
-- G (limit F) ⟶ limit F ⋙ G ⟶ limit (E ⋙ (F ⋙ G)) or
haveI : HasLimit (E ⋙ F ⋙ G) := h
G.map (limit.pre F E) ≫ limit.post (E ⋙ F) G = limit.post F G ≫ limit.pre (F ⋙ G) E := by
haveI : HasLimit (E ⋙ F ⋙ G) := h
ext; erw [assoc, limit.post_π, ← G.map_comp, limit.pre_π, assoc, limit.pre_π, limit.post_π]
open CategoryTheory.Equivalence
instance hasLimitEquivalenceComp (e : K ≌ J) [HasLimit F] : HasLimit (e.functor ⋙ F) :=
HasLimit.mk
{ cone := Cone.whisker e.functor (limit.cone F)
isLimit := IsLimit.whiskerEquivalence (limit.isLimit F) e }
-- not entirely sure why this is needed
/-- If a `E ⋙ F` has a limit, and `E` is an equivalence, we can construct a limit of `F`.
-/
theorem hasLimitOfEquivalenceComp (e : K ≌ J) [HasLimit (e.functor ⋙ F)] : HasLimit F := by
haveI : HasLimit (e.inverse ⋙ e.functor ⋙ F) := Limits.hasLimitEquivalenceComp e.symm
apply hasLimit_of_iso (e.invFunIdAssoc F)
-- `hasLimitCompEquivalence` and `hasLimitOfCompEquivalence`
-- are proved in `CategoryTheory/Adjunction/Limits.lean`.
section LimFunctor
variable [HasLimitsOfShape J C]
section
/-- `limit F` is functorial in `F`, when `C` has all limits of shape `J`. -/
@[simps]
def lim : (J ⥤ C) ⥤ C where
obj F := limit F
map α := limMap α
map_id F := by
apply Limits.limit.hom_ext; intro j
simp
map_comp α β := by
apply Limits.limit.hom_ext; intro j
simp [assoc]
end
variable {G : J ⥤ C} (α : F ⟶ G)
theorem limMap_eq : limMap α = lim.map α := rfl
theorem limit.map_pre [HasLimitsOfShape K C] (E : K ⥤ J) :
lim.map α ≫ limit.pre G E = limit.pre F E ≫ lim.map (whiskerLeft E α) := by
ext
simp
theorem limit.map_pre' [HasLimitsOfShape K C] (F : J ⥤ C) {E₁ E₂ : K ⥤ J} (α : E₁ ⟶ E₂) :
limit.pre F E₂ = limit.pre F E₁ ≫ lim.map (whiskerRight α F) := by
ext1; simp [← category.assoc]
theorem limit.id_pre (F : J ⥤ C) : limit.pre F (𝟭 _) = lim.map (Functor.leftUnitor F).inv := by
aesop_cat
theorem limit.map_post {D : Type u'} [Category.{v'} D] [HasLimitsOfShape J D] (H : C ⥤ D) :
/- H (limit F) ⟶ H (limit G) ⟶ limit (G ⋙ H) vs
H (limit F) ⟶ limit (F ⋙ H) ⟶ limit (G ⋙ H) -/
H.map (limMap α) ≫ limit.post G H = limit.post F H ≫ limMap (whiskerRight α H) := by
ext
simp only [whiskerRight_app, limMap_π, assoc, limit.post_π_assoc, limit.post_π, ← H.map_comp]
/-- The isomorphism between
morphisms from `W` to the cone point of the limit cone for `F`
and cones over `F` with cone point `W`
is natural in `F`.
-/
def limYoneda :
lim ⋙ yoneda ⋙ (whiskeringRight _ _ _).obj uliftFunctor.{u₁} ≅ CategoryTheory.cones J C :=
NatIso.ofComponents fun F => NatIso.ofComponents fun W => limit.homIso F (unop W)
/-- The constant functor and limit functor are adjoint to each other -/
def constLimAdj : (const J : C ⥤ J ⥤ C) ⊣ lim := Adjunction.mk' {
homEquiv := fun c g ↦
{ toFun := fun f => limit.lift _ ⟨c, f⟩
invFun := fun f =>
{ app := fun _ => f ≫ limit.π _ _ }
left_inv := by aesop_cat
right_inv := by aesop_cat }
unit := { app := fun _ => limit.lift _ ⟨_, 𝟙 _⟩ }
counit := { app := fun g => { app := limit.π _ } } }
instance : IsRightAdjoint (lim : (J ⥤ C) ⥤ C) :=
⟨_, ⟨constLimAdj⟩⟩
end LimFunctor
instance limMap_mono' {F G : J ⥤ C} [HasLimitsOfShape J C] (α : F ⟶ G) [Mono α] : Mono (limMap α) :=
(lim : (J ⥤ C) ⥤ C).map_mono α
instance limMap_mono {F G : J ⥤ C} [HasLimit F] [HasLimit G] (α : F ⟶ G) [∀ j, Mono (α.app j)] :
Mono (limMap α) :=
⟨fun {Z} u v h =>
limit.hom_ext fun j => (cancel_mono (α.app j)).1 <| by simpa using h =≫ limit.π _ j⟩
section Adjunction
variable {L : (J ⥤ C) ⥤ C} (adj : Functor.const _ ⊣ L)
| /- The fact that the existence of limits of shape `J` is equivalent to the existence
of a right adjoint to the constant functor `C ⥤ (J ⥤ C)` is obtained in
the file `Mathlib.CategoryTheory.Limits.ConeCategory`: see the lemma
`hasLimitsOfShape_iff_isLeftAdjoint_const`. In the definitions below, given an
| Mathlib/CategoryTheory/Limits/HasLimits.lean | 530 | 533 |
/-
Copyright (c) 2019 Gabriel Ebner. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Gabriel Ebner, Anatole Dedecker, Yury Kudryashov
-/
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.FDeriv.Mul
import Mathlib.Analysis.Calculus.FDeriv.Add
/-!
# Derivative of `f x * g x`
In this file we prove formulas for `(f x * g x)'` and `(f x • g x)'`.
For a more detailed overview of one-dimensional derivatives in mathlib, see the module docstring of
`Analysis/Calculus/Deriv/Basic`.
## Keywords
derivative, multiplication
-/
universe u v w
noncomputable section
open scoped Topology Filter ENNReal
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]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {f : 𝕜 → F}
variable {f' : F}
variable {x : 𝕜}
variable {s : Set 𝕜}
variable {L : Filter 𝕜}
/-! ### Derivative of bilinear maps -/
namespace ContinuousLinearMap
variable {B : E →L[𝕜] F →L[𝕜] G} {u : 𝕜 → E} {v : 𝕜 → F} {u' : E} {v' : F}
theorem hasDerivWithinAt_of_bilinear
(hu : HasDerivWithinAt u u' s x) (hv : HasDerivWithinAt v v' s x) :
HasDerivWithinAt (fun x ↦ B (u x) (v x)) (B (u x) v' + B u' (v x)) s x := by
simpa using (B.hasFDerivWithinAt_of_bilinear
hu.hasFDerivWithinAt hv.hasFDerivWithinAt).hasDerivWithinAt
theorem hasDerivAt_of_bilinear (hu : HasDerivAt u u' x) (hv : HasDerivAt v v' x) :
HasDerivAt (fun x ↦ B (u x) (v x)) (B (u x) v' + B u' (v x)) x := by
simpa using (B.hasFDerivAt_of_bilinear hu.hasFDerivAt hv.hasFDerivAt).hasDerivAt
theorem hasStrictDerivAt_of_bilinear (hu : HasStrictDerivAt u u' x) (hv : HasStrictDerivAt v v' x) :
HasStrictDerivAt (fun x ↦ B (u x) (v x)) (B (u x) v' + B u' (v x)) x := by
simpa using
(B.hasStrictFDerivAt_of_bilinear hu.hasStrictFDerivAt hv.hasStrictFDerivAt).hasStrictDerivAt
theorem derivWithin_of_bilinear
(hu : DifferentiableWithinAt 𝕜 u s x) (hv : DifferentiableWithinAt 𝕜 v s x) :
derivWithin (fun y => B (u y) (v y)) s x =
B (u x) (derivWithin v s x) + B (derivWithin u s x) (v x) := by
by_cases hsx : UniqueDiffWithinAt 𝕜 s x
· exact (B.hasDerivWithinAt_of_bilinear hu.hasDerivWithinAt hv.hasDerivWithinAt).derivWithin hsx
· simp [derivWithin_zero_of_not_uniqueDiffWithinAt hsx]
theorem deriv_of_bilinear (hu : DifferentiableAt 𝕜 u x) (hv : DifferentiableAt 𝕜 v x) :
deriv (fun y => B (u y) (v y)) x = B (u x) (deriv v x) + B (deriv u x) (v x) :=
(B.hasDerivAt_of_bilinear hu.hasDerivAt hv.hasDerivAt).deriv
end ContinuousLinearMap
section SMul
/-! ### Derivative of the multiplication of a scalar function and a vector function -/
variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜'] [NormedSpace 𝕜' F]
[IsScalarTower 𝕜 𝕜' F] {c : 𝕜 → 𝕜'} {c' : 𝕜'}
theorem HasDerivWithinAt.smul (hc : HasDerivWithinAt c c' s x) (hf : HasDerivWithinAt f f' s x) :
HasDerivWithinAt (fun y => c y • f y) (c x • f' + c' • f x) s x := by
simpa using (HasFDerivWithinAt.smul hc hf).hasDerivWithinAt
theorem HasDerivAt.smul (hc : HasDerivAt c c' x) (hf : HasDerivAt f f' x) :
HasDerivAt (fun y => c y • f y) (c x • f' + c' • f x) x := by
rw [← hasDerivWithinAt_univ] at *
exact hc.smul hf
nonrec theorem HasStrictDerivAt.smul (hc : HasStrictDerivAt c c' x) (hf : HasStrictDerivAt f f' x) :
HasStrictDerivAt (fun y => c y • f y) (c x • f' + c' • f x) x := by
simpa using (hc.smul hf).hasStrictDerivAt
theorem derivWithin_smul (hc : DifferentiableWithinAt 𝕜 c s x)
(hf : DifferentiableWithinAt 𝕜 f s x) :
derivWithin (fun y => c y • f y) s x = c x • derivWithin f s x + derivWithin c s x • f x := by
by_cases hsx : UniqueDiffWithinAt 𝕜 s x
· exact (hc.hasDerivWithinAt.smul hf.hasDerivWithinAt).derivWithin hsx
· simp [derivWithin_zero_of_not_uniqueDiffWithinAt hsx]
theorem deriv_smul (hc : DifferentiableAt 𝕜 c x) (hf : DifferentiableAt 𝕜 f x) :
deriv (fun y => c y • f y) x = c x • deriv f x + deriv c x • f x :=
(hc.hasDerivAt.smul hf.hasDerivAt).deriv
theorem HasStrictDerivAt.smul_const (hc : HasStrictDerivAt c c' x) (f : F) :
HasStrictDerivAt (fun y => c y • f) (c' • f) x := by
have := hc.smul (hasStrictDerivAt_const x f)
rwa [smul_zero, zero_add] at this
theorem HasDerivWithinAt.smul_const (hc : HasDerivWithinAt c c' s x) (f : F) :
HasDerivWithinAt (fun y => c y • f) (c' • f) s x := by
have := hc.smul (hasDerivWithinAt_const x s f)
rwa [smul_zero, zero_add] at this
theorem HasDerivAt.smul_const (hc : HasDerivAt c c' x) (f : F) :
HasDerivAt (fun y => c y • f) (c' • f) x := by
rw [← hasDerivWithinAt_univ] at *
exact hc.smul_const f
theorem derivWithin_smul_const (hc : DifferentiableWithinAt 𝕜 c s x) (f : F) :
derivWithin (fun y => c y • f) s x = derivWithin c s x • f := by
by_cases hsx : UniqueDiffWithinAt 𝕜 s x
· exact (hc.hasDerivWithinAt.smul_const f).derivWithin hsx
· simp [derivWithin_zero_of_not_uniqueDiffWithinAt hsx]
theorem deriv_smul_const (hc : DifferentiableAt 𝕜 c x) (f : F) :
deriv (fun y => c y • f) x = deriv c x • f :=
(hc.hasDerivAt.smul_const f).deriv
end SMul
section ConstSMul
variable {R : Type*} [Semiring R] [Module R F] [SMulCommClass 𝕜 R F] [ContinuousConstSMul R F]
nonrec theorem HasStrictDerivAt.const_smul (c : R) (hf : HasStrictDerivAt f f' x) :
HasStrictDerivAt (fun y => c • f y) (c • f') x := by
simpa using (hf.const_smul c).hasStrictDerivAt
nonrec theorem HasDerivAtFilter.const_smul (c : R) (hf : HasDerivAtFilter f f' x L) :
HasDerivAtFilter (fun y => c • f y) (c • f') x L := by
simpa using (hf.const_smul c).hasDerivAtFilter
nonrec theorem HasDerivWithinAt.const_smul (c : R) (hf : HasDerivWithinAt f f' s x) :
HasDerivWithinAt (fun y => c • f y) (c • f') s x :=
hf.const_smul c
nonrec theorem HasDerivAt.const_smul (c : R) (hf : HasDerivAt f f' x) :
HasDerivAt (fun y => c • f y) (c • f') x :=
hf.const_smul c
theorem derivWithin_const_smul (c : R) (hf : DifferentiableWithinAt 𝕜 f s x) :
derivWithin (fun y => c • f y) s x = c • derivWithin f s x := by
by_cases hsx : UniqueDiffWithinAt 𝕜 s x
· exact (hf.hasDerivWithinAt.const_smul c).derivWithin hsx
· simp [derivWithin_zero_of_not_uniqueDiffWithinAt hsx]
theorem deriv_const_smul (c : R) (hf : DifferentiableAt 𝕜 f x) :
deriv (fun y => c • f y) x = c • deriv f x :=
(hf.hasDerivAt.const_smul c).deriv
/-- A variant of `deriv_const_smul` without differentiability assumption when the scalar
multiplication is by field elements. -/
lemma deriv_const_smul' {f : 𝕜 → F} {x : 𝕜} {R : Type*} [Field R] [Module R F] [SMulCommClass 𝕜 R F]
[ContinuousConstSMul R F] (c : R) :
deriv (fun y ↦ c • f y) x = c • deriv f x := by
by_cases hf : DifferentiableAt 𝕜 f x
· exact deriv_const_smul c hf
· rcases eq_or_ne c 0 with rfl | hc
· simp only [zero_smul, deriv_const']
· have H : ¬DifferentiableAt 𝕜 (fun y ↦ c • f y) x := by
contrapose! hf
conv => enter [2, y]; rw [← inv_smul_smul₀ hc (f y)]
exact DifferentiableAt.const_smul hf c⁻¹
rw [deriv_zero_of_not_differentiableAt hf, deriv_zero_of_not_differentiableAt H, smul_zero]
end ConstSMul
section Mul
/-! ### Derivative of the multiplication of two functions -/
variable {𝕜' 𝔸 : Type*} [NormedField 𝕜'] [NormedRing 𝔸] [NormedAlgebra 𝕜 𝕜'] [NormedAlgebra 𝕜 𝔸]
{c d : 𝕜 → 𝔸} {c' d' : 𝔸} {u v : 𝕜 → 𝕜'}
theorem HasDerivWithinAt.mul (hc : HasDerivWithinAt c c' s x) (hd : HasDerivWithinAt d d' s x) :
HasDerivWithinAt (fun y => c y * d y) (c' * d x + c x * d') s x := by
have := (HasFDerivWithinAt.mul' hc hd).hasDerivWithinAt
rwa [ContinuousLinearMap.add_apply, ContinuousLinearMap.smul_apply,
ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.smulRight_apply,
ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.one_apply, one_smul, one_smul,
add_comm] at this
theorem HasDerivAt.mul (hc : HasDerivAt c c' x) (hd : HasDerivAt d d' x) :
HasDerivAt (fun y => c y * d y) (c' * d x + c x * d') x := by
rw [← hasDerivWithinAt_univ] at *
exact hc.mul hd
theorem HasStrictDerivAt.mul (hc : HasStrictDerivAt c c' x) (hd : HasStrictDerivAt d d' x) :
HasStrictDerivAt (fun y => c y * d y) (c' * d x + c x * d') x := by
have := (HasStrictFDerivAt.mul' hc hd).hasStrictDerivAt
rwa [ContinuousLinearMap.add_apply, ContinuousLinearMap.smul_apply,
ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.smulRight_apply,
ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.one_apply, one_smul, one_smul,
add_comm] at this
theorem derivWithin_mul (hc : DifferentiableWithinAt 𝕜 c s x)
(hd : DifferentiableWithinAt 𝕜 d s x) :
derivWithin (fun y => c y * d y) s x = derivWithin c s x * d x + c x * derivWithin d s x := by
by_cases hsx : UniqueDiffWithinAt 𝕜 s x
· exact (hc.hasDerivWithinAt.mul hd.hasDerivWithinAt).derivWithin hsx
· simp [derivWithin_zero_of_not_uniqueDiffWithinAt hsx]
@[simp]
| theorem deriv_mul (hc : DifferentiableAt 𝕜 c x) (hd : DifferentiableAt 𝕜 d x) :
deriv (fun y => c y * d y) x = deriv c x * d x + c x * deriv d x :=
(hc.hasDerivAt.mul hd.hasDerivAt).deriv
theorem HasDerivWithinAt.mul_const (hc : HasDerivWithinAt c c' s x) (d : 𝔸) :
HasDerivWithinAt (fun y => c y * d) (c' * d) s x := by
convert hc.mul (hasDerivWithinAt_const x s d) using 1
| Mathlib/Analysis/Calculus/Deriv/Mul.lean | 221 | 227 |
/-
Copyright (c) 2021 Stuart Presnell. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Stuart Presnell
-/
import Mathlib.Data.Nat.PrimeFin
import Mathlib.Data.Nat.Factorization.Defs
import Mathlib.Data.Nat.GCD.BigOperators
import Mathlib.Order.Interval.Finset.Nat
import Mathlib.Tactic.IntervalCases
/-!
# Basic lemmas on prime factorizations
-/
open Finset List Finsupp
namespace Nat
variable {a b m n p : ℕ}
/-! ### Basic facts about factorization -/
/-! ## Lemmas characterising when `n.factorization p = 0` -/
theorem factorization_eq_zero_of_lt {n p : ℕ} (h : n < p) : n.factorization p = 0 :=
Finsupp.not_mem_support_iff.mp (mt le_of_mem_primeFactors (not_le_of_lt h))
@[simp]
theorem factorization_one_right (n : ℕ) : n.factorization 1 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_one
theorem dvd_of_factorization_pos {n p : ℕ} (hn : n.factorization p ≠ 0) : p ∣ n :=
dvd_of_mem_primeFactorsList <| mem_primeFactors_iff_mem_primeFactorsList.1 <| mem_support_iff.2 hn
theorem factorization_eq_zero_iff_remainder {p r : ℕ} (i : ℕ) (pp : p.Prime) (hr0 : r ≠ 0) :
¬p ∣ r ↔ (p * i + r).factorization p = 0 := by
refine ⟨factorization_eq_zero_of_remainder i, fun h => ?_⟩
rw [factorization_eq_zero_iff] at h
contrapose! h
refine ⟨pp, ?_, ?_⟩
· rwa [← Nat.dvd_add_iff_right (dvd_mul_right p i)]
· contrapose! hr0
exact (add_eq_zero.1 hr0).2
/-- The only numbers with empty prime factorization are `0` and `1` -/
theorem factorization_eq_zero_iff' (n : ℕ) : n.factorization = 0 ↔ n = 0 ∨ n = 1 := by
rw [factorization_eq_primeFactorsList_multiset n]
simp [factorization, AddEquiv.map_eq_zero_iff, Multiset.coe_eq_zero]
/-! ## Lemmas about factorizations of products and powers -/
/-- A product over `n.factorization` can be written as a product over `n.primeFactors`; -/
lemma prod_factorization_eq_prod_primeFactors {β : Type*} [CommMonoid β] (f : ℕ → ℕ → β) :
n.factorization.prod f = ∏ p ∈ n.primeFactors, f p (n.factorization p) := rfl
/-- A product over `n.primeFactors` can be written as a product over `n.factorization`; -/
lemma prod_primeFactors_prod_factorization {β : Type*} [CommMonoid β] (f : ℕ → β) :
∏ p ∈ n.primeFactors, f p = n.factorization.prod (fun p _ ↦ f p) := rfl
/-! ## Lemmas about factorizations of primes and prime powers -/
/-- The multiplicity of prime `p` in `p` is `1` -/
@[simp]
theorem Prime.factorization_self {p : ℕ} (hp : Prime p) : p.factorization p = 1 := by simp [hp]
/-- If the factorization of `n` contains just one number `p` then `n` is a power of `p` -/
theorem eq_pow_of_factorization_eq_single {n p k : ℕ} (hn : n ≠ 0)
(h : n.factorization = Finsupp.single p k) : n = p ^ k := by
rw [← Nat.factorization_prod_pow_eq_self hn, h]
simp
/-- The only prime factor of prime `p` is `p` itself. -/
theorem Prime.eq_of_factorization_pos {p q : ℕ} (hp : Prime p) (h : p.factorization q ≠ 0) :
p = q := by simpa [hp.factorization, single_apply] using h
/-! ### Equivalence between `ℕ+` and `ℕ →₀ ℕ` with support in the primes. -/
theorem eq_factorization_iff {n : ℕ} {f : ℕ →₀ ℕ} (hn : n ≠ 0) (hf : ∀ p ∈ f.support, Prime p) :
f = n.factorization ↔ f.prod (· ^ ·) = n :=
⟨fun h => by rw [h, factorization_prod_pow_eq_self hn], fun h => by
rw [← h, prod_pow_factorization_eq_self hf]⟩
theorem factorizationEquiv_inv_apply {f : ℕ →₀ ℕ} (hf : ∀ p ∈ f.support, Prime p) :
(factorizationEquiv.symm ⟨f, hf⟩).1 = f.prod (· ^ ·) :=
rfl
@[simp]
theorem ordProj_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ordProj[p] n = 1 := by
simp [factorization_eq_zero_of_non_prime n hp]
@[deprecated (since := "2024-10-24")] alias ord_proj_of_not_prime := ordProj_of_not_prime
@[simp]
theorem ordCompl_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ordCompl[p] n = n := by
simp [factorization_eq_zero_of_non_prime n hp]
@[deprecated (since := "2024-10-24")] alias ord_compl_of_not_prime := ordCompl_of_not_prime
theorem ordCompl_dvd (n p : ℕ) : ordCompl[p] n ∣ n :=
div_dvd_of_dvd (ordProj_dvd n p)
@[deprecated (since := "2024-10-24")] alias ord_compl_dvd := ordCompl_dvd
theorem ordProj_pos (n p : ℕ) : 0 < ordProj[p] n := by
if pp : p.Prime then simp [pow_pos pp.pos] else simp [pp]
@[deprecated (since := "2024-10-24")] alias ord_proj_pos := ordProj_pos
theorem ordProj_le {n : ℕ} (p : ℕ) (hn : n ≠ 0) : ordProj[p] n ≤ n :=
le_of_dvd hn.bot_lt (Nat.ordProj_dvd n p)
@[deprecated (since := "2024-10-24")] alias ord_proj_le := ordProj_le
theorem ordCompl_pos {n : ℕ} (p : ℕ) (hn : n ≠ 0) : 0 < ordCompl[p] n := by
if pp : p.Prime then
exact Nat.div_pos (ordProj_le p hn) (ordProj_pos n p)
else
simpa [Nat.factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
@[deprecated (since := "2024-10-24")] alias ord_compl_pos := ordCompl_pos
theorem ordCompl_le (n p : ℕ) : ordCompl[p] n ≤ n :=
Nat.div_le_self _ _
@[deprecated (since := "2024-10-24")] alias ord_compl_le := ordCompl_le
theorem ordProj_mul_ordCompl_eq_self (n p : ℕ) : ordProj[p] n * ordCompl[p] n = n :=
Nat.mul_div_cancel' (ordProj_dvd n p)
@[deprecated (since := "2024-10-24")]
alias ord_proj_mul_ord_compl_eq_self := ordProj_mul_ordCompl_eq_self
theorem ordProj_mul {a b : ℕ} (p : ℕ) (ha : a ≠ 0) (hb : b ≠ 0) :
ordProj[p] (a * b) = ordProj[p] a * ordProj[p] b := by
simp [factorization_mul ha hb, pow_add]
@[deprecated (since := "2024-10-24")] alias ord_proj_mul := ordProj_mul
theorem ordCompl_mul (a b p : ℕ) : ordCompl[p] (a * b) = ordCompl[p] a * ordCompl[p] b := by
if ha : a = 0 then simp [ha] else
if hb : b = 0 then simp [hb] else
simp only [ordProj_mul p ha hb]
rw [div_mul_div_comm (ordProj_dvd a p) (ordProj_dvd b p)]
@[deprecated (since := "2024-10-24")] alias ord_compl_mul := ordCompl_mul
/-! ### Factorization and divisibility -/
/-- A crude upper bound on `n.factorization p` -/
theorem factorization_lt {n : ℕ} (p : ℕ) (hn : n ≠ 0) : n.factorization p < n := by
by_cases pp : p.Prime
· exact (Nat.pow_lt_pow_iff_right pp.one_lt).1 <| (ordProj_le p hn).trans_lt <|
Nat.lt_pow_self pp.one_lt
· simpa only [factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
/-- An upper bound on `n.factorization p` -/
theorem factorization_le_of_le_pow {n p b : ℕ} (hb : n ≤ p ^ b) : n.factorization p ≤ b := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then
exact (Nat.pow_le_pow_iff_right pp.one_lt).1 ((ordProj_le p hn).trans hb)
else
simp [factorization_eq_zero_of_non_prime n pp]
theorem factorization_prime_le_iff_dvd {d n : ℕ} (hd : d ≠ 0) (hn : n ≠ 0) :
(∀ p : ℕ, p.Prime → d.factorization p ≤ n.factorization p) ↔ d ∣ n := by
rw [← factorization_le_iff_dvd hd hn]
refine ⟨fun h p => (em p.Prime).elim (h p) fun hp => ?_, fun h p _ => h p⟩
simp_rw [factorization_eq_zero_of_non_prime _ hp]
rfl
theorem factorization_le_factorization_mul_left {a b : ℕ} (hb : b ≠ 0) :
a.factorization ≤ (a * b).factorization := by
rcases eq_or_ne a 0 with (rfl | ha)
· simp
rw [factorization_le_iff_dvd ha <| mul_ne_zero ha hb]
exact Dvd.intro b rfl
theorem factorization_le_factorization_mul_right {a b : ℕ} (ha : a ≠ 0) :
b.factorization ≤ (a * b).factorization := by
rw [mul_comm]
apply factorization_le_factorization_mul_left ha
theorem Prime.pow_dvd_iff_le_factorization {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ k ≤ n.factorization p := by
rw [← factorization_le_iff_dvd (pow_pos pp.pos k).ne' hn, pp.factorization_pow, single_le_iff]
theorem Prime.pow_dvd_iff_dvd_ordProj {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ p ^ k ∣ ordProj[p] n := by
rw [pow_dvd_pow_iff_le_right pp.one_lt, pp.pow_dvd_iff_le_factorization hn]
@[deprecated (since := "2024-10-24")]
alias Prime.pow_dvd_iff_dvd_ord_proj := Prime.pow_dvd_iff_dvd_ordProj
theorem Prime.dvd_iff_one_le_factorization {p n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ∣ n ↔ 1 ≤ n.factorization p :=
Iff.trans (by simp) (pp.pow_dvd_iff_le_factorization hn)
theorem exists_factorization_lt_of_lt {a b : ℕ} (ha : a ≠ 0) (hab : a < b) :
∃ p : ℕ, a.factorization p < b.factorization p := by
have hb : b ≠ 0 := (ha.bot_lt.trans hab).ne'
contrapose! hab
rw [← Finsupp.le_def, factorization_le_iff_dvd hb ha] at hab
exact le_of_dvd ha.bot_lt hab
@[simp]
theorem factorization_div {d n : ℕ} (h : d ∣ n) :
(n / d).factorization = n.factorization - d.factorization := by
rcases eq_or_ne d 0 with (rfl | hd); · simp [zero_dvd_iff.mp h]
rcases eq_or_ne n 0 with (rfl | hn); · simp [tsub_eq_zero_of_le]
apply add_left_injective d.factorization
simp only
rw [tsub_add_cancel_of_le <| (Nat.factorization_le_iff_dvd hd hn).mpr h, ←
Nat.factorization_mul (Nat.div_pos (Nat.le_of_dvd hn.bot_lt h) hd.bot_lt).ne' hd,
Nat.div_mul_cancel h]
theorem dvd_ordProj_of_dvd {n p : ℕ} (hn : n ≠ 0) (pp : p.Prime) (h : p ∣ n) : p ∣ ordProj[p] n :=
dvd_pow_self p (Prime.factorization_pos_of_dvd pp hn h).ne'
@[deprecated (since := "2024-10-24")] alias dvd_ord_proj_of_dvd := dvd_ordProj_of_dvd
theorem not_dvd_ordCompl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : ¬p ∣ ordCompl[p] n := by
rw [Nat.Prime.dvd_iff_one_le_factorization hp (ordCompl_pos p hn).ne']
rw [Nat.factorization_div (Nat.ordProj_dvd n p)]
simp [hp.factorization]
@[deprecated (since := "2024-10-24")] alias not_dvd_ord_compl := not_dvd_ordCompl
theorem coprime_ordCompl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : Coprime p (ordCompl[p] n) :=
(or_iff_left (not_dvd_ordCompl hp hn)).mp <| coprime_or_dvd_of_prime hp _
@[deprecated (since := "2024-10-24")] alias coprime_ord_compl := coprime_ordCompl
theorem factorization_ordCompl (n p : ℕ) :
(ordCompl[p] n).factorization = n.factorization.erase p := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then ?_ else
simp [pp]
ext q
rcases eq_or_ne q p with (rfl | hqp)
· simp only [Finsupp.erase_same, factorization_eq_zero_iff, not_dvd_ordCompl pp hn]
simp
· rw [Finsupp.erase_ne hqp, factorization_div (ordProj_dvd n p)]
simp [pp.factorization, hqp.symm]
@[deprecated (since := "2024-10-24")] alias factorization_ord_compl := factorization_ordCompl
-- `ordCompl[p] n` is the largest divisor of `n` not divisible by `p`.
theorem dvd_ordCompl_of_dvd_not_dvd {p d n : ℕ} (hdn : d ∣ n) (hpd : ¬p ∣ d) :
d ∣ ordCompl[p] n := by
if hn0 : n = 0 then simp [hn0] else
if hd0 : d = 0 then simp [hd0] at hpd else
rw [← factorization_le_iff_dvd hd0 (ordCompl_pos p hn0).ne', factorization_ordCompl]
intro q
if hqp : q = p then
simp [factorization_eq_zero_iff, hqp, hpd]
else
simp [hqp, (factorization_le_iff_dvd hd0 hn0).2 hdn q]
@[deprecated (since := "2024-10-24")]
alias dvd_ord_compl_of_dvd_not_dvd := dvd_ordCompl_of_dvd_not_dvd
/-- If `n` is a nonzero natural number and `p ≠ 1`, then there are natural numbers `e`
and `n'` such that `n'` is not divisible by `p` and `n = p^e * n'`. -/
theorem exists_eq_pow_mul_and_not_dvd {n : ℕ} (hn : n ≠ 0) (p : ℕ) (hp : p ≠ 1) :
∃ e n' : ℕ, ¬p ∣ n' ∧ n = p ^ e * n' :=
let ⟨a', h₁, h₂⟩ :=
(Nat.finiteMultiplicity_iff.mpr ⟨hp, Nat.pos_of_ne_zero hn⟩).exists_eq_pow_mul_and_not_dvd
⟨_, a', h₂, h₁⟩
/-- Any nonzero natural number is the product of an odd part `m` and a power of
two `2 ^ k`. -/
theorem exists_eq_two_pow_mul_odd {n : ℕ} (hn : n ≠ 0) :
∃ k m : ℕ, Odd m ∧ n = 2 ^ k * m :=
let ⟨k, m, hm, hn⟩ := exists_eq_pow_mul_and_not_dvd hn 2 (succ_ne_self 1)
⟨k, m, not_even_iff_odd.1 (mt Even.two_dvd hm), hn⟩
theorem dvd_iff_div_factorization_eq_tsub {d n : ℕ} (hd : d ≠ 0) (hdn : d ≤ n) :
d ∣ n ↔ (n / d).factorization = n.factorization - d.factorization := by
refine ⟨factorization_div, ?_⟩
rcases eq_or_lt_of_le hdn with (rfl | hd_lt_n); · simp
have h1 : n / d ≠ 0 := by simp [*]
intro h
rw [dvd_iff_le_div_mul n d]
by_contra h2
obtain ⟨p, hp⟩ := exists_factorization_lt_of_lt (mul_ne_zero h1 hd) (not_le.mp h2)
rwa [factorization_mul h1 hd, add_apply, ← lt_tsub_iff_right, h, tsub_apply,
lt_self_iff_false] at hp
theorem ordProj_dvd_ordProj_of_dvd {a b : ℕ} (hb0 : b ≠ 0) (hab : a ∣ b) (p : ℕ) :
ordProj[p] a ∣ ordProj[p] b := by
rcases em' p.Prime with (pp | pp); · simp [pp]
rcases eq_or_ne a 0 with (rfl | ha0); · simp
rw [pow_dvd_pow_iff_le_right pp.one_lt]
exact (factorization_le_iff_dvd ha0 hb0).2 hab p
@[deprecated (since := "2024-10-24")]
alias ord_proj_dvd_ord_proj_of_dvd := ordProj_dvd_ordProj_of_dvd
theorem ordProj_dvd_ordProj_iff_dvd {a b : ℕ} (ha0 : a ≠ 0) (hb0 : b ≠ 0) :
(∀ p : ℕ, ordProj[p] a ∣ ordProj[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ordProj_dvd_ordProj_of_dvd hb0 hab p⟩
rw [← factorization_le_iff_dvd ha0 hb0]
intro q
rcases le_or_lt q 1 with (hq_le | hq1)
· interval_cases q <;> simp
exact (pow_dvd_pow_iff_le_right hq1).1 (h q)
@[deprecated (since := "2024-10-24")]
alias ord_proj_dvd_ord_proj_iff_dvd := ordProj_dvd_ordProj_iff_dvd
theorem ordCompl_dvd_ordCompl_of_dvd {a b : ℕ} (hab : a ∣ b) (p : ℕ) :
ordCompl[p] a ∣ ordCompl[p] b := by
rcases em' p.Prime with (pp | pp)
· simp [pp, hab]
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
rcases eq_or_ne a 0 with (rfl | ha0)
· cases hb0 (zero_dvd_iff.1 hab)
have ha := (Nat.div_pos (ordProj_le p ha0) (ordProj_pos a p)).ne'
have hb := (Nat.div_pos (ordProj_le p hb0) (ordProj_pos b p)).ne'
rw [← factorization_le_iff_dvd ha hb, factorization_ordCompl a p, factorization_ordCompl b p]
intro q
rcases eq_or_ne q p with (rfl | hqp)
· simp
simp_rw [erase_ne hqp]
exact (factorization_le_iff_dvd ha0 hb0).2 hab q
@[deprecated (since := "2024-10-24")]
alias ord_compl_dvd_ord_compl_of_dvd := ordCompl_dvd_ordCompl_of_dvd
theorem ordCompl_dvd_ordCompl_iff_dvd (a b : ℕ) :
(∀ p : ℕ, ordCompl[p] a ∣ ordCompl[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ordCompl_dvd_ordCompl_of_dvd hab p⟩
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
if pa : a.Prime then ?_ else simpa [pa] using h a
if pb : b.Prime then ?_ else simpa [pb] using h b
rw [prime_dvd_prime_iff_eq pa pb]
by_contra hab
apply pa.ne_one
rw [← Nat.dvd_one, ← Nat.mul_dvd_mul_iff_left hb0.bot_lt, mul_one]
simpa [Prime.factorization_self pb, Prime.factorization pa, hab] using h b
@[deprecated (since := "2024-10-24")]
alias ord_compl_dvd_ord_compl_iff_dvd := ordCompl_dvd_ordCompl_iff_dvd
theorem dvd_iff_prime_pow_dvd_dvd (n d : ℕ) :
d ∣ n ↔ ∀ p k : ℕ, Prime p → p ^ k ∣ d → p ^ k ∣ n := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rcases eq_or_ne d 0 with (rfl | hd)
· simp only [zero_dvd_iff, hn, false_iff, not_forall]
exact ⟨2, n, prime_two, dvd_zero _, mt (le_of_dvd hn.bot_lt) (n.lt_two_pow_self).not_le⟩
refine ⟨fun h p k _ hpkd => dvd_trans hpkd h, ?_⟩
rw [← factorization_prime_le_iff_dvd hd hn]
intro h p pp
simp_rw [← pp.pow_dvd_iff_le_factorization hn]
exact h p _ pp (ordProj_dvd _ _)
theorem prod_primeFactors_dvd (n : ℕ) : ∏ p ∈ n.primeFactors, p ∣ n := by
by_cases hn : n = 0
· subst hn
simp
· simpa [prod_primeFactorsList hn] using (n.primeFactorsList : Multiset ℕ).toFinset_prod_dvd_prod
theorem factorization_gcd {a b : ℕ} (ha_pos : a ≠ 0) (hb_pos : b ≠ 0) :
(gcd a b).factorization = a.factorization ⊓ b.factorization := by
let dfac := a.factorization ⊓ b.factorization
let d := dfac.prod (· ^ ·)
have dfac_prime : ∀ p : ℕ, p ∈ dfac.support → Prime p := by
intro p hp
have : p ∈ a.primeFactorsList ∧ p ∈ b.primeFactorsList := by simpa [dfac] using hp
exact prime_of_mem_primeFactorsList this.1
have h1 : d.factorization = dfac := prod_pow_factorization_eq_self dfac_prime
have hd_pos : d ≠ 0 := (factorizationEquiv.invFun ⟨dfac, dfac_prime⟩).2.ne'
suffices d = gcd a b by rwa [← this]
apply gcd_greatest
· rw [← factorization_le_iff_dvd hd_pos ha_pos, h1]
exact inf_le_left
· rw [← factorization_le_iff_dvd hd_pos hb_pos, h1]
exact inf_le_right
· intro e hea heb
rcases Decidable.eq_or_ne e 0 with (rfl | he_pos)
· simp only [zero_dvd_iff] at hea
contradiction
have hea' := (factorization_le_iff_dvd he_pos ha_pos).mpr hea
have heb' := (factorization_le_iff_dvd he_pos hb_pos).mpr heb
simp [dfac, ← factorization_le_iff_dvd he_pos hd_pos, h1, hea', heb']
theorem factorization_lcm {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a.lcm b).factorization = a.factorization ⊔ b.factorization := by
rw [← add_right_inj (a.gcd b).factorization, ←
factorization_mul (mt gcd_eq_zero_iff.1 fun h => ha h.1) (lcm_ne_zero ha hb), gcd_mul_lcm,
factorization_gcd ha hb, factorization_mul ha hb]
ext1
exact (min_add_max _ _).symm
variable (a b)
@[simp]
lemma factorizationLCMLeft_zero_left : factorizationLCMLeft 0 b = 1 := by
simp [factorizationLCMLeft]
@[simp]
lemma factorizationLCMLeft_zero_right : factorizationLCMLeft a 0 = 1 := by
simp [factorizationLCMLeft]
@[simp]
lemma factorizationLCRight_zero_left : factorizationLCMRight 0 b = 1 := by
simp [factorizationLCMRight]
@[simp]
lemma factorizationLCMRight_zero_right : factorizationLCMRight a 0 = 1 := by
simp [factorizationLCMRight]
lemma factorizationLCMLeft_pos :
0 < factorizationLCMLeft a b := by
apply Nat.pos_of_ne_zero
rw [factorizationLCMLeft, Finsupp.prod_ne_zero_iff]
intro p _ H
by_cases h : b.factorization p ≤ a.factorization p
· simp only [h, reduceIte, pow_eq_zero_iff', ne_eq] at H
simpa [H.1] using H.2
· simp only [h, reduceIte, one_ne_zero] at H
lemma factorizationLCMRight_pos :
0 < factorizationLCMRight a b := by
apply Nat.pos_of_ne_zero
rw [factorizationLCMRight, Finsupp.prod_ne_zero_iff]
intro p _ H
by_cases h : b.factorization p ≤ a.factorization p
· simp only [h, reduceIte, pow_eq_zero_iff', ne_eq, reduceCtorEq] at H
· simp only [h, ↓reduceIte, pow_eq_zero_iff', ne_eq] at H
simpa [H.1] using H.2
lemma coprime_factorizationLCMLeft_factorizationLCMRight :
(factorizationLCMLeft a b).Coprime (factorizationLCMRight a b) := by
rw [factorizationLCMLeft, factorizationLCMRight]
refine coprime_prod_left_iff.mpr fun p hp ↦ coprime_prod_right_iff.mpr fun q hq ↦ ?_
dsimp only; split_ifs with h h'
any_goals simp only [coprime_one_right_eq_true, coprime_one_left_eq_true]
refine coprime_pow_primes _ _ (prime_of_mem_primeFactors hp) (prime_of_mem_primeFactors hq) ?_
contrapose! h'; rwa [← h']
variable {a b}
lemma factorizationLCMLeft_mul_factorizationLCMRight (ha : a ≠ 0) (hb : b ≠ 0) :
(factorizationLCMLeft a b) * (factorizationLCMRight a b) = lcm a b := by
rw [← factorization_prod_pow_eq_self (lcm_ne_zero ha hb), factorizationLCMLeft,
factorizationLCMRight, ← prod_mul]
congr; ext p n; split_ifs <;> simp
variable (a b)
lemma factorizationLCMLeft_dvd_left : factorizationLCMLeft a b ∣ a := by
rcases eq_or_ne a 0 with rfl | ha
· simp only [dvd_zero]
rcases eq_or_ne b 0 with rfl | hb
· simp [factorizationLCMLeft]
nth_rewrite 2 [← factorization_prod_pow_eq_self ha]
rw [prod_of_support_subset (s := (lcm a b).factorization.support)]
· apply prod_dvd_prod_of_dvd; rintro p -; dsimp only; split_ifs with le
| · rw [factorization_lcm ha hb]; apply pow_dvd_pow; exact sup_le le_rfl le
· apply one_dvd
· intro p hp; rw [mem_support_iff] at hp ⊢
rw [factorization_lcm ha hb]; exact (lt_sup_iff.mpr <| .inl <| Nat.pos_of_ne_zero hp).ne'
· intros; rw [pow_zero]
| Mathlib/Data/Nat/Factorization/Basic.lean | 466 | 471 |
/-
Copyright (c) 2020 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison
-/
import Mathlib.Algebra.BigOperators.Group.Finset.Piecewise
import Mathlib.Algebra.Group.Ext
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Biproducts
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Products
import Mathlib.CategoryTheory.Preadditive.Basic
import Mathlib.Tactic.Abel
/-!
# Basic facts about biproducts in preadditive categories.
In (or between) preadditive categories,
* Any biproduct satisfies the equality
`total : ∑ j : J, biproduct.π f j ≫ biproduct.ι f j = 𝟙 (⨁ f)`,
or, in the binary case, `total : fst ≫ inl + snd ≫ inr = 𝟙 X`.
* Any (binary) `product` or (binary) `coproduct` is a (binary) `biproduct`.
* In any category (with zero morphisms), if `biprod.map f g` is an isomorphism,
then both `f` and `g` are isomorphisms.
* If `f` is a morphism `X₁ ⊞ X₂ ⟶ Y₁ ⊞ Y₂` whose `X₁ ⟶ Y₁` entry is an isomorphism,
then we can construct isomorphisms `L : X₁ ⊞ X₂ ≅ X₁ ⊞ X₂` and `R : Y₁ ⊞ Y₂ ≅ Y₁ ⊞ Y₂`
so that `L.hom ≫ g ≫ R.hom` is diagonal (with `X₁ ⟶ Y₁` component still `f`),
via Gaussian elimination.
* As a corollary of the previous two facts,
if we have an isomorphism `X₁ ⊞ X₂ ≅ Y₁ ⊞ Y₂` whose `X₁ ⟶ Y₁` entry is an isomorphism,
we can construct an isomorphism `X₂ ≅ Y₂`.
* If `f : W ⊞ X ⟶ Y ⊞ Z` is an isomorphism, either `𝟙 W = 0`,
or at least one of the component maps `W ⟶ Y` and `W ⟶ Z` is nonzero.
* If `f : ⨁ S ⟶ ⨁ T` is an isomorphism,
then every column (corresponding to a nonzero summand in the domain)
has some nonzero matrix entry.
* A functor preserves a biproduct if and only if it preserves
the corresponding product if and only if it preserves the corresponding coproduct.
There are connections between this material and the special case of the category whose morphisms are
matrices over a ring, in particular the Schur complement (see
`Mathlib.LinearAlgebra.Matrix.SchurComplement`). In particular, the declarations
`CategoryTheory.Biprod.isoElim`, `CategoryTheory.Biprod.gaussian`
and `Matrix.invertibleOfFromBlocks₁₁Invertible` are all closely related.
-/
open CategoryTheory
open CategoryTheory.Preadditive
open CategoryTheory.Limits
open CategoryTheory.Functor
open CategoryTheory.Preadditive
universe v v' u u'
noncomputable section
namespace CategoryTheory
variable {C : Type u} [Category.{v} C] [Preadditive C]
namespace Limits
section Fintype
variable {J : Type} [Fintype J]
/-- In a preadditive category, we can construct a biproduct for `f : J → C` from
any bicone `b` for `f` satisfying `total : ∑ j : J, b.π j ≫ b.ι j = 𝟙 b.X`.
(That is, such a bicone is a limit cone and a colimit cocone.)
-/
def isBilimitOfTotal {f : J → C} (b : Bicone f) (total : ∑ j : J, b.π j ≫ b.ι j = 𝟙 b.pt) :
b.IsBilimit where
isLimit :=
{ lift := fun s => ∑ j : J, s.π.app ⟨j⟩ ≫ b.ι j
uniq := fun s m h => by
erw [← Category.comp_id m, ← total, comp_sum]
apply Finset.sum_congr rfl
intro j _
have reassoced : m ≫ Bicone.π b j ≫ Bicone.ι b j = s.π.app ⟨j⟩ ≫ Bicone.ι b j := by
erw [← Category.assoc, eq_whisker (h ⟨j⟩)]
rw [reassoced]
fac := fun s j => by
classical
cases j
simp only [sum_comp, Category.assoc, Bicone.toCone_π_app, b.ι_π, comp_dite]
-- See note [dsimp, simp].
dsimp
simp }
isColimit :=
{ desc := fun s => ∑ j : J, b.π j ≫ s.ι.app ⟨j⟩
uniq := fun s m h => by
erw [← Category.id_comp m, ← total, sum_comp]
apply Finset.sum_congr rfl
intro j _
erw [Category.assoc, h ⟨j⟩]
fac := fun s j => by
classical
cases j
simp only [comp_sum, ← Category.assoc, Bicone.toCocone_ι_app, b.ι_π, dite_comp]
dsimp; simp }
theorem IsBilimit.total {f : J → C} {b : Bicone f} (i : b.IsBilimit) :
∑ j : J, b.π j ≫ b.ι j = 𝟙 b.pt :=
i.isLimit.hom_ext fun j => by
classical
cases j
simp [sum_comp, b.ι_π, comp_dite]
/-- In a preadditive category, we can construct a biproduct for `f : J → C` from
any bicone `b` for `f` satisfying `total : ∑ j : J, b.π j ≫ b.ι j = 𝟙 b.X`.
(That is, such a bicone is a limit cone and a colimit cocone.)
-/
theorem hasBiproduct_of_total {f : J → C} (b : Bicone f)
(total : ∑ j : J, b.π j ≫ b.ι j = 𝟙 b.pt) : HasBiproduct f :=
HasBiproduct.mk
{ bicone := b
isBilimit := isBilimitOfTotal b total }
/-- In a preadditive category, any finite bicone which is a limit cone is in fact a bilimit
bicone. -/
def isBilimitOfIsLimit {f : J → C} (t : Bicone f) (ht : IsLimit t.toCone) : t.IsBilimit :=
isBilimitOfTotal _ <|
ht.hom_ext fun j => by
classical
cases j
simp [sum_comp, t.ι_π, dite_comp, comp_dite]
/-- We can turn any limit cone over a pair into a bilimit bicone. -/
def biconeIsBilimitOfLimitConeOfIsLimit {f : J → C} {t : Cone (Discrete.functor f)}
(ht : IsLimit t) : (Bicone.ofLimitCone ht).IsBilimit :=
isBilimitOfIsLimit _ <| IsLimit.ofIsoLimit ht <| Cones.ext (Iso.refl _) (by simp)
/-- In a preadditive category, any finite bicone which is a colimit cocone is in fact a bilimit
bicone. -/
def isBilimitOfIsColimit {f : J → C} (t : Bicone f) (ht : IsColimit t.toCocone) : t.IsBilimit :=
isBilimitOfTotal _ <|
ht.hom_ext fun j => by
classical
cases j
simp_rw [Bicone.toCocone_ι_app, comp_sum, ← Category.assoc, t.ι_π, dite_comp]
simp
/-- We can turn any limit cone over a pair into a bilimit bicone. -/
def biconeIsBilimitOfColimitCoconeOfIsColimit {f : J → C} {t : Cocone (Discrete.functor f)}
(ht : IsColimit t) : (Bicone.ofColimitCocone ht).IsBilimit :=
isBilimitOfIsColimit _ <| IsColimit.ofIsoColimit ht <| Cocones.ext (Iso.refl _) <| by
rintro ⟨j⟩; simp
end Fintype
section Finite
variable {J : Type} [Finite J]
/-- In a preadditive category, if the product over `f : J → C` exists,
then the biproduct over `f` exists. -/
theorem HasBiproduct.of_hasProduct (f : J → C) [HasProduct f] : HasBiproduct f := by
cases nonempty_fintype J
exact HasBiproduct.mk
{ bicone := _
isBilimit := biconeIsBilimitOfLimitConeOfIsLimit (limit.isLimit _) }
/-- In a preadditive category, if the coproduct over `f : J → C` exists,
then the biproduct over `f` exists. -/
theorem HasBiproduct.of_hasCoproduct (f : J → C) [HasCoproduct f] : HasBiproduct f := by
cases nonempty_fintype J
exact HasBiproduct.mk
{ bicone := _
isBilimit := biconeIsBilimitOfColimitCoconeOfIsColimit (colimit.isColimit _) }
end Finite
/-- A preadditive category with finite products has finite biproducts. -/
theorem HasFiniteBiproducts.of_hasFiniteProducts [HasFiniteProducts C] : HasFiniteBiproducts C :=
⟨fun _ => { has_biproduct := fun _ => HasBiproduct.of_hasProduct _ }⟩
/-- A preadditive category with finite coproducts has finite biproducts. -/
theorem HasFiniteBiproducts.of_hasFiniteCoproducts [HasFiniteCoproducts C] :
HasFiniteBiproducts C :=
⟨fun _ => { has_biproduct := fun _ => HasBiproduct.of_hasCoproduct _ }⟩
section HasBiproduct
variable {J : Type} [Fintype J] {f : J → C} [HasBiproduct f]
/-- In any preadditive category, any biproduct satisfies
`∑ j : J, biproduct.π f j ≫ biproduct.ι f j = 𝟙 (⨁ f)`
-/
@[simp]
theorem biproduct.total : ∑ j : J, biproduct.π f j ≫ biproduct.ι f j = 𝟙 (⨁ f) :=
IsBilimit.total (biproduct.isBilimit _)
theorem biproduct.lift_eq {T : C} {g : ∀ j, T ⟶ f j} :
biproduct.lift g = ∑ j, g j ≫ biproduct.ι f j := by
classical
ext j
simp only [sum_comp, biproduct.ι_π, comp_dite, biproduct.lift_π, Category.assoc, comp_zero,
Finset.sum_dite_eq', Finset.mem_univ, eqToHom_refl, Category.comp_id, if_true]
theorem biproduct.desc_eq {T : C} {g : ∀ j, f j ⟶ T} :
biproduct.desc g = ∑ j, biproduct.π f j ≫ g j := by
classical
ext j
simp [comp_sum, biproduct.ι_π_assoc, dite_comp]
@[reassoc]
theorem biproduct.lift_desc {T U : C} {g : ∀ j, T ⟶ f j} {h : ∀ j, f j ⟶ U} :
biproduct.lift g ≫ biproduct.desc h = ∑ j : J, g j ≫ h j := by
classical
simp [biproduct.lift_eq, biproduct.desc_eq, comp_sum, sum_comp, biproduct.ι_π_assoc, comp_dite,
dite_comp]
theorem biproduct.map_eq [HasFiniteBiproducts C] {f g : J → C} {h : ∀ j, f j ⟶ g j} :
biproduct.map h = ∑ j : J, biproduct.π f j ≫ h j ≫ biproduct.ι g j := by
classical
ext
simp [biproduct.ι_π, biproduct.ι_π_assoc, comp_sum, sum_comp, comp_dite, dite_comp]
@[reassoc]
theorem biproduct.lift_matrix {K : Type} [Finite K] [HasFiniteBiproducts C] {f : J → C} {g : K → C}
{P} (x : ∀ j, P ⟶ f j) (m : ∀ j k, f j ⟶ g k) :
biproduct.lift x ≫ biproduct.matrix m = biproduct.lift fun k => ∑ j, x j ≫ m j k := by
ext
simp [biproduct.lift_desc]
end HasBiproduct
section HasFiniteBiproducts
variable {J K : Type} [Finite J] {f : J → C} [HasFiniteBiproducts C]
@[reassoc]
theorem biproduct.matrix_desc [Fintype K] {f : J → C} {g : K → C}
(m : ∀ j k, f j ⟶ g k) {P} (x : ∀ k, g k ⟶ P) :
biproduct.matrix m ≫ biproduct.desc x = biproduct.desc fun j => ∑ k, m j k ≫ x k := by
ext
simp [lift_desc]
variable [Finite K]
@[reassoc]
theorem biproduct.matrix_map {f : J → C} {g : K → C} {h : K → C} (m : ∀ j k, f j ⟶ g k)
(n : ∀ k, g k ⟶ h k) :
biproduct.matrix m ≫ biproduct.map n = biproduct.matrix fun j k => m j k ≫ n k := by
ext
simp
@[reassoc]
theorem biproduct.map_matrix {f : J → C} {g : J → C} {h : K → C} (m : ∀ k, f k ⟶ g k)
(n : ∀ j k, g j ⟶ h k) :
biproduct.map m ≫ biproduct.matrix n = biproduct.matrix fun j k => m j ≫ n j k := by
ext
simp
end HasFiniteBiproducts
/-- Reindex a categorical biproduct via an equivalence of the index types. -/
@[simps]
def biproduct.reindex {β γ : Type} [Finite β] (ε : β ≃ γ)
(f : γ → C) [HasBiproduct f] [HasBiproduct (f ∘ ε)] : ⨁ f ∘ ε ≅ ⨁ f where
hom := biproduct.desc fun b => biproduct.ι f (ε b)
inv := biproduct.lift fun b => biproduct.π f (ε b)
hom_inv_id := by
ext b b'
by_cases h : b' = b
· subst h; simp
· have : ε b' ≠ ε b := by simp [h]
simp [biproduct.ι_π_ne _ h, biproduct.ι_π_ne _ this]
inv_hom_id := by
classical
cases nonempty_fintype β
ext g g'
by_cases h : g' = g <;>
simp [Preadditive.sum_comp, Preadditive.comp_sum, biproduct.lift_desc,
biproduct.ι_π, biproduct.ι_π_assoc, comp_dite, Equiv.apply_eq_iff_eq_symm_apply,
Finset.sum_dite_eq' Finset.univ (ε.symm g') _, h]
/-- In a preadditive category, we can construct a binary biproduct for `X Y : C` from
any binary bicone `b` satisfying `total : b.fst ≫ b.inl + b.snd ≫ b.inr = 𝟙 b.X`.
(That is, such a bicone is a limit cone and a colimit cocone.)
-/
def isBinaryBilimitOfTotal {X Y : C} (b : BinaryBicone X Y)
(total : b.fst ≫ b.inl + b.snd ≫ b.inr = 𝟙 b.pt) : b.IsBilimit where
isLimit :=
{ lift := fun s =>
(BinaryFan.fst s ≫ b.inl : s.pt ⟶ b.pt) + (BinaryFan.snd s ≫ b.inr : s.pt ⟶ b.pt)
uniq := fun s m h => by
have reassoced (j : WalkingPair) {W : C} (h' : _ ⟶ W) :
m ≫ b.toCone.π.app ⟨j⟩ ≫ h' = s.π.app ⟨j⟩ ≫ h' := by
rw [← Category.assoc, eq_whisker (h ⟨j⟩)]
erw [← Category.comp_id m, ← total, comp_add, reassoced WalkingPair.left,
reassoced WalkingPair.right]
fac := fun s j => by rcases j with ⟨⟨⟩⟩ <;> simp }
isColimit :=
{ desc := fun s =>
(b.fst ≫ BinaryCofan.inl s : b.pt ⟶ s.pt) + (b.snd ≫ BinaryCofan.inr s : b.pt ⟶ s.pt)
uniq := fun s m h => by
erw [← Category.id_comp m, ← total, add_comp, Category.assoc, Category.assoc,
h ⟨WalkingPair.left⟩, h ⟨WalkingPair.right⟩]
fac := fun s j => by rcases j with ⟨⟨⟩⟩ <;> simp }
theorem IsBilimit.binary_total {X Y : C} {b : BinaryBicone X Y} (i : b.IsBilimit) :
b.fst ≫ b.inl + b.snd ≫ b.inr = 𝟙 b.pt :=
i.isLimit.hom_ext fun j => by rcases j with ⟨⟨⟩⟩ <;> simp
/-- In a preadditive category, we can construct a binary biproduct for `X Y : C` from
any binary bicone `b` satisfying `total : b.fst ≫ b.inl + b.snd ≫ b.inr = 𝟙 b.X`.
(That is, such a bicone is a limit cone and a colimit cocone.)
-/
theorem hasBinaryBiproduct_of_total {X Y : C} (b : BinaryBicone X Y)
(total : b.fst ≫ b.inl + b.snd ≫ b.inr = 𝟙 b.pt) : HasBinaryBiproduct X Y :=
HasBinaryBiproduct.mk
{ bicone := b
isBilimit := isBinaryBilimitOfTotal b total }
/-- We can turn any limit cone over a pair into a bicone. -/
@[simps]
def BinaryBicone.ofLimitCone {X Y : C} {t : Cone (pair X Y)} (ht : IsLimit t) :
BinaryBicone X Y where
pt := t.pt
fst := t.π.app ⟨WalkingPair.left⟩
snd := t.π.app ⟨WalkingPair.right⟩
inl := ht.lift (BinaryFan.mk (𝟙 X) 0)
inr := ht.lift (BinaryFan.mk 0 (𝟙 Y))
theorem inl_of_isLimit {X Y : C} {t : BinaryBicone X Y} (ht : IsLimit t.toCone) :
t.inl = ht.lift (BinaryFan.mk (𝟙 X) 0) := by
apply ht.uniq (BinaryFan.mk (𝟙 X) 0); rintro ⟨⟨⟩⟩ <;> dsimp <;> simp
theorem inr_of_isLimit {X Y : C} {t : BinaryBicone X Y} (ht : IsLimit t.toCone) :
t.inr = ht.lift (BinaryFan.mk 0 (𝟙 Y)) := by
apply ht.uniq (BinaryFan.mk 0 (𝟙 Y)); rintro ⟨⟨⟩⟩ <;> dsimp <;> simp
/-- In a preadditive category, any binary bicone which is a limit cone is in fact a bilimit
bicone. -/
def isBinaryBilimitOfIsLimit {X Y : C} (t : BinaryBicone X Y) (ht : IsLimit t.toCone) :
t.IsBilimit :=
isBinaryBilimitOfTotal _ (by refine BinaryFan.IsLimit.hom_ext ht ?_ ?_ <;> simp)
/-- We can turn any limit cone over a pair into a bilimit bicone. -/
def binaryBiconeIsBilimitOfLimitConeOfIsLimit {X Y : C} {t : Cone (pair X Y)} (ht : IsLimit t) :
(BinaryBicone.ofLimitCone ht).IsBilimit :=
isBinaryBilimitOfTotal _ <| BinaryFan.IsLimit.hom_ext ht (by simp) (by simp)
/-- In a preadditive category, if the product of `X` and `Y` exists, then the
binary biproduct of `X` and `Y` exists. -/
theorem HasBinaryBiproduct.of_hasBinaryProduct (X Y : C) [HasBinaryProduct X Y] :
HasBinaryBiproduct X Y :=
HasBinaryBiproduct.mk
{ bicone := _
isBilimit := binaryBiconeIsBilimitOfLimitConeOfIsLimit (limit.isLimit _) }
/-- In a preadditive category, if all binary products exist, then all binary biproducts exist. -/
theorem HasBinaryBiproducts.of_hasBinaryProducts [HasBinaryProducts C] : HasBinaryBiproducts C :=
{ has_binary_biproduct := fun X Y => HasBinaryBiproduct.of_hasBinaryProduct X Y }
/-- We can turn any colimit cocone over a pair into a bicone. -/
@[simps]
def BinaryBicone.ofColimitCocone {X Y : C} {t : Cocone (pair X Y)} (ht : IsColimit t) :
BinaryBicone X Y where
pt := t.pt
fst := ht.desc (BinaryCofan.mk (𝟙 X) 0)
snd := ht.desc (BinaryCofan.mk 0 (𝟙 Y))
inl := t.ι.app ⟨WalkingPair.left⟩
inr := t.ι.app ⟨WalkingPair.right⟩
theorem fst_of_isColimit {X Y : C} {t : BinaryBicone X Y} (ht : IsColimit t.toCocone) :
t.fst = ht.desc (BinaryCofan.mk (𝟙 X) 0) := by
apply ht.uniq (BinaryCofan.mk (𝟙 X) 0)
rintro ⟨⟨⟩⟩ <;> dsimp <;> simp
theorem snd_of_isColimit {X Y : C} {t : BinaryBicone X Y} (ht : IsColimit t.toCocone) :
t.snd = ht.desc (BinaryCofan.mk 0 (𝟙 Y)) := by
apply ht.uniq (BinaryCofan.mk 0 (𝟙 Y))
rintro ⟨⟨⟩⟩ <;> dsimp <;> simp
/-- In a preadditive category, any binary bicone which is a colimit cocone is in fact a
bilimit bicone. -/
def isBinaryBilimitOfIsColimit {X Y : C} (t : BinaryBicone X Y) (ht : IsColimit t.toCocone) :
t.IsBilimit :=
isBinaryBilimitOfTotal _ <| by
refine BinaryCofan.IsColimit.hom_ext ht ?_ ?_ <;> simp
/-- We can turn any colimit cocone over a pair into a bilimit bicone. -/
def binaryBiconeIsBilimitOfColimitCoconeOfIsColimit {X Y : C} {t : Cocone (pair X Y)}
(ht : IsColimit t) : (BinaryBicone.ofColimitCocone ht).IsBilimit :=
isBinaryBilimitOfIsColimit (BinaryBicone.ofColimitCocone ht) <|
IsColimit.ofIsoColimit ht <|
Cocones.ext (Iso.refl _) fun j => by
rcases j with ⟨⟨⟩⟩ <;> simp
/-- In a preadditive category, if the coproduct of `X` and `Y` exists, then the
binary biproduct of `X` and `Y` exists. -/
theorem HasBinaryBiproduct.of_hasBinaryCoproduct (X Y : C) [HasBinaryCoproduct X Y] :
HasBinaryBiproduct X Y :=
HasBinaryBiproduct.mk
{ bicone := _
isBilimit := binaryBiconeIsBilimitOfColimitCoconeOfIsColimit (colimit.isColimit _) }
/-- In a preadditive category, if all binary coproducts exist, then all binary biproducts exist. -/
theorem HasBinaryBiproducts.of_hasBinaryCoproducts [HasBinaryCoproducts C] :
HasBinaryBiproducts C :=
{ has_binary_biproduct := fun X Y => HasBinaryBiproduct.of_hasBinaryCoproduct X Y }
section
variable {X Y : C} [HasBinaryBiproduct X Y]
/-- In any preadditive category, any binary biproduct satisfies
`biprod.fst ≫ biprod.inl + biprod.snd ≫ biprod.inr = 𝟙 (X ⊞ Y)`.
-/
@[simp]
theorem biprod.total : biprod.fst ≫ biprod.inl + biprod.snd ≫ biprod.inr = 𝟙 (X ⊞ Y) := by
ext <;> simp [add_comp]
theorem biprod.lift_eq {T : C} {f : T ⟶ X} {g : T ⟶ Y} :
biprod.lift f g = f ≫ biprod.inl + g ≫ biprod.inr := by ext <;> simp [add_comp]
theorem biprod.desc_eq {T : C} {f : X ⟶ T} {g : Y ⟶ T} :
biprod.desc f g = biprod.fst ≫ f + biprod.snd ≫ g := by ext <;> simp [add_comp]
@[reassoc (attr := simp)]
theorem biprod.lift_desc {T U : C} {f : T ⟶ X} {g : T ⟶ Y} {h : X ⟶ U} {i : Y ⟶ U} :
biprod.lift f g ≫ biprod.desc h i = f ≫ h + g ≫ i := by simp [biprod.lift_eq, biprod.desc_eq]
theorem biprod.map_eq [HasBinaryBiproducts C] {W X Y Z : C} {f : W ⟶ Y} {g : X ⟶ Z} :
biprod.map f g = biprod.fst ≫ f ≫ biprod.inl + biprod.snd ≫ g ≫ biprod.inr := by
ext <;> simp
section
variable {Z : C}
lemma biprod.decomp_hom_to (f : Z ⟶ X ⊞ Y) :
∃ f₁ f₂, f = f₁ ≫ biprod.inl + f₂ ≫ biprod.inr :=
⟨f ≫ biprod.fst, f ≫ biprod.snd, by aesop⟩
lemma biprod.ext_to_iff {f g : Z ⟶ X ⊞ Y} :
f = g ↔ f ≫ biprod.fst = g ≫ biprod.fst ∧ f ≫ biprod.snd = g ≫ biprod.snd := by
aesop
lemma biprod.decomp_hom_from (f : X ⊞ Y ⟶ Z) :
∃ f₁ f₂, f = biprod.fst ≫ f₁ + biprod.snd ≫ f₂ :=
⟨biprod.inl ≫ f, biprod.inr ≫ f, by aesop⟩
lemma biprod.ext_from_iff {f g : X ⊞ Y ⟶ Z} :
f = g ↔ biprod.inl ≫ f = biprod.inl ≫ g ∧ biprod.inr ≫ f = biprod.inr ≫ g := by
aesop
end
/-- Every split mono `f` with a cokernel induces a binary bicone with `f` as its `inl` and
the cokernel map as its `snd`.
We will show in `is_bilimit_binary_bicone_of_split_mono_of_cokernel` that this binary bicone is in
fact already a biproduct. -/
@[simps]
def binaryBiconeOfIsSplitMonoOfCokernel {X Y : C} {f : X ⟶ Y} [IsSplitMono f] {c : CokernelCofork f}
(i : IsColimit c) : BinaryBicone X c.pt where
pt := Y
fst := retraction f
snd := c.π
inl := f
inr :=
let c' : CokernelCofork (𝟙 Y - (𝟙 Y - retraction f ≫ f)) :=
CokernelCofork.ofπ (Cofork.π c) (by simp)
let i' : IsColimit c' := isCokernelEpiComp i (retraction f) (by simp)
let i'' := isColimitCoforkOfCokernelCofork i'
(splitEpiOfIdempotentOfIsColimitCofork C (by simp) i'').section_
inl_fst := by simp
inl_snd := by simp
inr_fst := by
dsimp only
rw [splitEpiOfIdempotentOfIsColimitCofork_section_,
isColimitCoforkOfCokernelCofork_desc, isCokernelEpiComp_desc]
dsimp only [cokernelCoforkOfCofork_ofπ]
letI := epi_of_isColimit_cofork i
apply zero_of_epi_comp c.π
simp only [sub_comp, comp_sub, Category.comp_id, Category.assoc, IsSplitMono.id, sub_self,
Cofork.IsColimit.π_desc_assoc, CokernelCofork.π_ofπ, IsSplitMono.id_assoc]
apply sub_eq_zero_of_eq
apply Category.id_comp
inr_snd := by apply SplitEpi.id
/-- The bicone constructed in `binaryBiconeOfSplitMonoOfCokernel` is a bilimit.
This is a version of the splitting lemma that holds in all preadditive categories. -/
def isBilimitBinaryBiconeOfIsSplitMonoOfCokernel {X Y : C} {f : X ⟶ Y} [IsSplitMono f]
{c : CokernelCofork f} (i : IsColimit c) : (binaryBiconeOfIsSplitMonoOfCokernel i).IsBilimit :=
isBinaryBilimitOfTotal _
(by
simp only [binaryBiconeOfIsSplitMonoOfCokernel_fst,
binaryBiconeOfIsSplitMonoOfCokernel_inr,
binaryBiconeOfIsSplitMonoOfCokernel_snd,
splitEpiOfIdempotentOfIsColimitCofork_section_]
dsimp only [binaryBiconeOfIsSplitMonoOfCokernel_pt]
rw [isColimitCoforkOfCokernelCofork_desc, isCokernelEpiComp_desc]
simp only [binaryBiconeOfIsSplitMonoOfCokernel_inl, Cofork.IsColimit.π_desc,
cokernelCoforkOfCofork_π, Cofork.π_ofπ, add_sub_cancel])
/-- If `b` is a binary bicone such that `b.inl` is a kernel of `b.snd`, then `b` is a bilimit
bicone. -/
def BinaryBicone.isBilimitOfKernelInl {X Y : C} (b : BinaryBicone X Y)
(hb : IsLimit b.sndKernelFork) : b.IsBilimit :=
isBinaryBilimitOfIsLimit _ <|
BinaryFan.IsLimit.mk _ (fun f g => f ≫ b.inl + g ≫ b.inr) (fun f g => by simp)
(fun f g => by simp) fun {T} f g m h₁ h₂ => by
dsimp at m
have h₁' : ((m : T ⟶ b.pt) - (f ≫ b.inl + g ≫ b.inr)) ≫ b.fst = 0 := by
simpa using sub_eq_zero.2 h₁
have h₂' : (m - (f ≫ b.inl + g ≫ b.inr)) ≫ b.snd = 0 := by simpa using sub_eq_zero.2 h₂
obtain ⟨q : T ⟶ X, hq : q ≫ b.inl = m - (f ≫ b.inl + g ≫ b.inr)⟩ :=
KernelFork.IsLimit.lift' hb _ h₂'
rw [← sub_eq_zero, ← hq, ← Category.comp_id q, ← b.inl_fst, ← Category.assoc, hq, h₁',
zero_comp]
/-- If `b` is a binary bicone such that `b.inr` is a kernel of `b.fst`, then `b` is a bilimit
bicone. -/
def BinaryBicone.isBilimitOfKernelInr {X Y : C} (b : BinaryBicone X Y)
(hb : IsLimit b.fstKernelFork) : b.IsBilimit :=
isBinaryBilimitOfIsLimit _ <|
BinaryFan.IsLimit.mk _ (fun f g => f ≫ b.inl + g ≫ b.inr) (fun f g => by simp)
(fun f g => by simp) fun {T} f g m h₁ h₂ => by
dsimp at m
have h₁' : (m - (f ≫ b.inl + g ≫ b.inr)) ≫ b.fst = 0 := by simpa using sub_eq_zero.2 h₁
have h₂' : (m - (f ≫ b.inl + g ≫ b.inr)) ≫ b.snd = 0 := by simpa using sub_eq_zero.2 h₂
obtain ⟨q : T ⟶ Y, hq : q ≫ b.inr = m - (f ≫ b.inl + g ≫ b.inr)⟩ :=
KernelFork.IsLimit.lift' hb _ h₁'
rw [← sub_eq_zero, ← hq, ← Category.comp_id q, ← b.inr_snd, ← Category.assoc, hq, h₂',
zero_comp]
/-- If `b` is a binary bicone such that `b.fst` is a cokernel of `b.inr`, then `b` is a bilimit
bicone. -/
def BinaryBicone.isBilimitOfCokernelFst {X Y : C} (b : BinaryBicone X Y)
(hb : IsColimit b.inrCokernelCofork) : b.IsBilimit :=
isBinaryBilimitOfIsColimit _ <|
BinaryCofan.IsColimit.mk _ (fun f g => b.fst ≫ f + b.snd ≫ g) (fun f g => by simp)
(fun f g => by simp) fun {T} f g m h₁ h₂ => by
dsimp at m
have h₁' : b.inl ≫ (m - (b.fst ≫ f + b.snd ≫ g)) = 0 := by simpa using sub_eq_zero.2 h₁
have h₂' : b.inr ≫ (m - (b.fst ≫ f + b.snd ≫ g)) = 0 := by simpa using sub_eq_zero.2 h₂
obtain ⟨q : X ⟶ T, hq : b.fst ≫ q = m - (b.fst ≫ f + b.snd ≫ g)⟩ :=
CokernelCofork.IsColimit.desc' hb _ h₂'
rw [← sub_eq_zero, ← hq, ← Category.id_comp q, ← b.inl_fst, Category.assoc, hq, h₁',
comp_zero]
/-- If `b` is a binary bicone such that `b.snd` is a cokernel of `b.inl`, then `b` is a bilimit
bicone. -/
def BinaryBicone.isBilimitOfCokernelSnd {X Y : C} (b : BinaryBicone X Y)
(hb : IsColimit b.inlCokernelCofork) : b.IsBilimit :=
isBinaryBilimitOfIsColimit _ <|
BinaryCofan.IsColimit.mk _ (fun f g => b.fst ≫ f + b.snd ≫ g) (fun f g => by simp)
(fun f g => by simp) fun {T} f g m h₁ h₂ => by
dsimp at m
have h₁' : b.inl ≫ (m - (b.fst ≫ f + b.snd ≫ g)) = 0 := by simpa using sub_eq_zero.2 h₁
have h₂' : b.inr ≫ (m - (b.fst ≫ f + b.snd ≫ g)) = 0 := by simpa using sub_eq_zero.2 h₂
obtain ⟨q : Y ⟶ T, hq : b.snd ≫ q = m - (b.fst ≫ f + b.snd ≫ g)⟩ :=
CokernelCofork.IsColimit.desc' hb _ h₁'
rw [← sub_eq_zero, ← hq, ← Category.id_comp q, ← b.inr_snd, Category.assoc, hq, h₂',
comp_zero]
/-- Every split epi `f` with a kernel induces a binary bicone with `f` as its `snd` and
the kernel map as its `inl`.
We will show in `binary_bicone_of_is_split_mono_of_cokernel` that this binary bicone is in fact
already a biproduct. -/
@[simps]
def binaryBiconeOfIsSplitEpiOfKernel {X Y : C} {f : X ⟶ Y} [IsSplitEpi f] {c : KernelFork f}
(i : IsLimit c) : BinaryBicone c.pt Y :=
{ pt := X
fst :=
let c' : KernelFork (𝟙 X - (𝟙 X - f ≫ section_ f)) := KernelFork.ofι (Fork.ι c) (by simp)
let i' : IsLimit c' := isKernelCompMono i (section_ f) (by simp)
let i'' := isLimitForkOfKernelFork i'
(splitMonoOfIdempotentOfIsLimitFork C (by simp) i'').retraction
snd := f
inl := c.ι
inr := section_ f
inl_fst := by apply SplitMono.id
inl_snd := by simp
inr_fst := by
dsimp only
rw [splitMonoOfIdempotentOfIsLimitFork_retraction, isLimitForkOfKernelFork_lift,
isKernelCompMono_lift]
dsimp only [kernelForkOfFork_ι]
letI := mono_of_isLimit_fork i
apply zero_of_comp_mono c.ι
simp only [comp_sub, Category.comp_id, Category.assoc, sub_self, Fork.IsLimit.lift_ι,
Fork.ι_ofι, IsSplitEpi.id_assoc]
inr_snd := by simp }
/-- The bicone constructed in `binaryBiconeOfIsSplitEpiOfKernel` is a bilimit.
This is a version of the splitting lemma that holds in all preadditive categories. -/
def isBilimitBinaryBiconeOfIsSplitEpiOfKernel {X Y : C} {f : X ⟶ Y} [IsSplitEpi f]
{c : KernelFork f} (i : IsLimit c) : (binaryBiconeOfIsSplitEpiOfKernel i).IsBilimit :=
BinaryBicone.isBilimitOfKernelInl _ <| i.ofIsoLimit <| Fork.ext (Iso.refl _) (by simp)
end
section
variable {X Y : C} (f g : X ⟶ Y)
/-- The existence of binary biproducts implies that there is at most one preadditive structure. -/
theorem biprod.add_eq_lift_id_desc [HasBinaryBiproduct X X] :
f + g = biprod.lift (𝟙 X) (𝟙 X) ≫ biprod.desc f g := by simp
/-- The existence of binary biproducts implies that there is at most one preadditive structure. -/
theorem biprod.add_eq_lift_desc_id [HasBinaryBiproduct Y Y] :
f + g = biprod.lift f g ≫ biprod.desc (𝟙 Y) (𝟙 Y) := by simp
end
end Limits
open CategoryTheory.Limits
section
attribute [local ext] Preadditive
/-- The existence of binary biproducts implies that there is at most one preadditive structure. -/
instance subsingleton_preadditive_of_hasBinaryBiproducts {C : Type u} [Category.{v} C]
[HasZeroMorphisms C] [HasBinaryBiproducts C] : Subsingleton (Preadditive C) where
allEq := fun a b => by
apply Preadditive.ext; funext X Y; apply AddCommGroup.ext; funext f g
have h₁ := @biprod.add_eq_lift_id_desc _ _ a _ _ f g
(by convert (inferInstance : HasBinaryBiproduct X X); subsingleton)
have h₂ := @biprod.add_eq_lift_id_desc _ _ b _ _ f g
(by convert (inferInstance : HasBinaryBiproduct X X); subsingleton)
refine h₁.trans (Eq.trans ?_ h₂.symm)
congr! 2 <;> subsingleton
end
section
variable [HasBinaryBiproducts.{v} C]
variable {X₁ X₂ Y₁ Y₂ : C}
variable (f₁₁ : X₁ ⟶ Y₁) (f₁₂ : X₁ ⟶ Y₂) (f₂₁ : X₂ ⟶ Y₁) (f₂₂ : X₂ ⟶ Y₂)
/-- The "matrix" morphism `X₁ ⊞ X₂ ⟶ Y₁ ⊞ Y₂` with specified components.
-/
def Biprod.ofComponents : X₁ ⊞ X₂ ⟶ Y₁ ⊞ Y₂ :=
biprod.fst ≫ f₁₁ ≫ biprod.inl + biprod.fst ≫ f₁₂ ≫ biprod.inr + biprod.snd ≫ f₂₁ ≫ biprod.inl +
biprod.snd ≫ f₂₂ ≫ biprod.inr
@[simp]
theorem Biprod.inl_ofComponents :
biprod.inl ≫ Biprod.ofComponents f₁₁ f₁₂ f₂₁ f₂₂ = f₁₁ ≫ biprod.inl + f₁₂ ≫ biprod.inr := by
simp [Biprod.ofComponents]
@[simp]
theorem Biprod.inr_ofComponents :
biprod.inr ≫ Biprod.ofComponents f₁₁ f₁₂ f₂₁ f₂₂ = f₂₁ ≫ biprod.inl + f₂₂ ≫ biprod.inr := by
simp [Biprod.ofComponents]
@[simp]
theorem Biprod.ofComponents_fst :
Biprod.ofComponents f₁₁ f₁₂ f₂₁ f₂₂ ≫ biprod.fst = biprod.fst ≫ f₁₁ + biprod.snd ≫ f₂₁ := by
simp [Biprod.ofComponents]
@[simp]
theorem Biprod.ofComponents_snd :
Biprod.ofComponents f₁₁ f₁₂ f₂₁ f₂₂ ≫ biprod.snd = biprod.fst ≫ f₁₂ + biprod.snd ≫ f₂₂ := by
simp [Biprod.ofComponents]
@[simp]
theorem Biprod.ofComponents_eq (f : X₁ ⊞ X₂ ⟶ Y₁ ⊞ Y₂) :
Biprod.ofComponents (biprod.inl ≫ f ≫ biprod.fst) (biprod.inl ≫ f ≫ biprod.snd)
(biprod.inr ≫ f ≫ biprod.fst) (biprod.inr ≫ f ≫ biprod.snd) =
f := by
ext <;>
simp only [Category.comp_id, biprod.inr_fst, biprod.inr_snd, biprod.inl_snd, add_zero, zero_add,
Biprod.inl_ofComponents, Biprod.inr_ofComponents, eq_self_iff_true, Category.assoc,
comp_zero, biprod.inl_fst, Preadditive.add_comp]
@[simp]
theorem Biprod.ofComponents_comp {X₁ X₂ Y₁ Y₂ Z₁ Z₂ : C} (f₁₁ : X₁ ⟶ Y₁) (f₁₂ : X₁ ⟶ Y₂)
(f₂₁ : X₂ ⟶ Y₁) (f₂₂ : X₂ ⟶ Y₂) (g₁₁ : Y₁ ⟶ Z₁) (g₁₂ : Y₁ ⟶ Z₂) (g₂₁ : Y₂ ⟶ Z₁)
(g₂₂ : Y₂ ⟶ Z₂) :
Biprod.ofComponents f₁₁ f₁₂ f₂₁ f₂₂ ≫ Biprod.ofComponents g₁₁ g₁₂ g₂₁ g₂₂ =
Biprod.ofComponents (f₁₁ ≫ g₁₁ + f₁₂ ≫ g₂₁) (f₁₁ ≫ g₁₂ + f₁₂ ≫ g₂₂) (f₂₁ ≫ g₁₁ + f₂₂ ≫ g₂₁)
(f₂₁ ≫ g₁₂ + f₂₂ ≫ g₂₂) := by
dsimp [Biprod.ofComponents]
ext <;>
| simp only [add_comp, comp_add, add_comp_assoc, add_zero, zero_add, biprod.inl_fst,
biprod.inl_snd, biprod.inr_fst, biprod.inr_snd, biprod.inl_fst_assoc, biprod.inl_snd_assoc,
biprod.inr_fst_assoc, biprod.inr_snd_assoc, comp_zero, zero_comp, Category.assoc]
| Mathlib/CategoryTheory/Preadditive/Biproducts.lean | 701 | 703 |
/-
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.RingTheory.Ideal.BigOperators
import Mathlib.RingTheory.FiniteType
/-!
# Rees algebra
The Rees algebra of an ideal `I` is the subalgebra `R[It]` of `R[t]` defined as `R[It] = ⨁ₙ Iⁿ tⁿ`.
This is used to prove the Artin-Rees lemma, and will potentially enable us to calculate some
blowup in the future.
## Main definition
- `reesAlgebra` : The Rees algebra of an ideal `I`, defined as a subalgebra of `R[X]`.
- `adjoin_monomial_eq_reesAlgebra` : The Rees algebra is generated by the degree one elements.
- `reesAlgebra.fg` : The Rees algebra of a f.g. ideal is of finite type. In particular, this
implies that the rees algebra over a noetherian ring is still noetherian.
-/
universe u v
variable {R M : Type u} [CommRing R] [AddCommGroup M] [Module R M] (I : Ideal R)
open Polynomial
/-- The Rees algebra of an ideal `I`, defined as the subalgebra of `R[X]` whose `i`-th coefficient
falls in `I ^ i`. -/
def reesAlgebra : Subalgebra R R[X] where
carrier := { f | ∀ i, f.coeff i ∈ I ^ i }
mul_mem' hf hg i := by
rw [coeff_mul]
apply Ideal.sum_mem
rintro ⟨j, k⟩ e
rw [← Finset.mem_antidiagonal.mp e, pow_add]
exact Ideal.mul_mem_mul (hf j) (hg k)
one_mem' i := by
rw [coeff_one]
split_ifs with h
· subst h
simp
· simp
add_mem' hf hg i := by
rw [coeff_add]
exact Ideal.add_mem _ (hf i) (hg i)
zero_mem' _ := Ideal.zero_mem _
algebraMap_mem' r i := by
rw [algebraMap_apply, coeff_C]
split_ifs with h
· subst h
simp
· simp
theorem mem_reesAlgebra_iff (f : R[X]) : f ∈ reesAlgebra I ↔ ∀ i, f.coeff i ∈ I ^ i :=
Iff.rfl
theorem mem_reesAlgebra_iff_support (f : R[X]) :
f ∈ reesAlgebra I ↔ ∀ i ∈ f.support, f.coeff i ∈ I ^ i := by
apply forall_congr'
intro a
rw [mem_support_iff, Iff.comm, Classical.imp_iff_right_iff, Ne, ← imp_iff_not_or]
| exact fun e => e.symm ▸ (I ^ a).zero_mem
theorem reesAlgebra.monomial_mem {I : Ideal R} {i : ℕ} {r : R} :
monomial i r ∈ reesAlgebra I ↔ r ∈ I ^ i := by
simp +contextual [mem_reesAlgebra_iff_support, coeff_monomial, ←
imp_iff_not_or]
| Mathlib/RingTheory/ReesAlgebra.lean | 68 | 73 |
/-
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.Sigma
import Mathlib.Algebra.Order.Interval.Finset.Basic
import Mathlib.Order.Interval.Finset.Nat
import Mathlib.Tactic.Linarith
/-!
# Results about big operators over intervals
We prove results about big operators over intervals.
-/
open Nat
variable {α M : Type*}
namespace Finset
section PartialOrder
variable [PartialOrder α] [CommMonoid M] {f : α → M} {a b : α}
section LocallyFiniteOrder
variable [LocallyFiniteOrder α]
@[to_additive]
lemma mul_prod_Ico_eq_prod_Icc (h : a ≤ b) : f b * ∏ x ∈ Ico a b, f x = ∏ x ∈ Icc a b, f x := by
rw [Icc_eq_cons_Ico h, prod_cons]
@[to_additive]
lemma prod_Ico_mul_eq_prod_Icc (h : a ≤ b) : (∏ x ∈ Ico a b, f x) * f b = ∏ x ∈ Icc a b, f x := by
rw [mul_comm, mul_prod_Ico_eq_prod_Icc h]
@[to_additive]
lemma mul_prod_Ioc_eq_prod_Icc (h : a ≤ b) : f a * ∏ x ∈ Ioc a b, f x = ∏ x ∈ Icc a b, f x := by
rw [Icc_eq_cons_Ioc h, prod_cons]
@[to_additive]
lemma prod_Ioc_mul_eq_prod_Icc (h : a ≤ b) : (∏ x ∈ Ioc a b, f x) * f a = ∏ x ∈ Icc a b, f x := by
rw [mul_comm, mul_prod_Ioc_eq_prod_Icc h]
end LocallyFiniteOrder
section LocallyFiniteOrderTop
variable [LocallyFiniteOrderTop α]
@[to_additive]
lemma mul_prod_Ioi_eq_prod_Ici (a : α) : f a * ∏ x ∈ Ioi a, f x = ∏ x ∈ Ici a, f x := by
rw [Ici_eq_cons_Ioi, prod_cons]
@[to_additive]
lemma prod_Ioi_mul_eq_prod_Ici (a : α) : (∏ x ∈ Ioi a, f x) * f a = ∏ x ∈ Ici a, f x := by
rw [mul_comm, mul_prod_Ioi_eq_prod_Ici]
end LocallyFiniteOrderTop
section LocallyFiniteOrderBot
variable [LocallyFiniteOrderBot α]
@[to_additive]
lemma mul_prod_Iio_eq_prod_Iic (a : α) : f a * ∏ x ∈ Iio a, f x = ∏ x ∈ Iic a, f x := by
rw [Iic_eq_cons_Iio, prod_cons]
@[to_additive]
lemma prod_Iio_mul_eq_prod_Iic (a : α) : (∏ x ∈ Iio a, f x) * f a = ∏ x ∈ Iic a, f x := by
rw [mul_comm, mul_prod_Iio_eq_prod_Iic]
end LocallyFiniteOrderBot
end PartialOrder
section LinearOrder
variable [Fintype α] [LinearOrder α] [LocallyFiniteOrderTop α] [LocallyFiniteOrderBot α]
[CommMonoid M]
@[to_additive]
lemma prod_prod_Ioi_mul_eq_prod_prod_off_diag (f : α → α → M) :
∏ i, ∏ j ∈ Ioi i, f j i * f i j = ∏ i, ∏ j ∈ {i}ᶜ, f j i := by
simp_rw [← Ioi_disjUnion_Iio, prod_disjUnion, prod_mul_distrib]
congr 1
rw [prod_sigma', prod_sigma']
refine prod_nbij' (fun i ↦ ⟨i.2, i.1⟩) (fun i ↦ ⟨i.2, i.1⟩) ?_ ?_ ?_ ?_ ?_ <;> simp
end LinearOrder
section Generic
variable [CommMonoid M] {s₂ s₁ s : Finset α} {a : α} {g f : α → M}
@[to_additive]
theorem prod_Ico_add' [AddCommMonoid α] [PartialOrder α] [IsOrderedCancelAddMonoid α]
[ExistsAddOfLE α] [LocallyFiniteOrder α]
(f : α → M) (a b c : α) : (∏ x ∈ Ico a b, f (x + c)) = ∏ x ∈ Ico (a + c) (b + c), f x := by
rw [← map_add_right_Ico, prod_map]
rfl
@[to_additive]
theorem prod_Ico_add [AddCommMonoid α] [PartialOrder α] [IsOrderedCancelAddMonoid α]
[ExistsAddOfLE α] [LocallyFiniteOrder α]
(f : α → M) (a b c : α) : (∏ x ∈ Ico a b, f (c + x)) = ∏ x ∈ Ico (a + c) (b + c), f x := by
convert prod_Ico_add' f a b c using 2
rw [add_comm]
@[to_additive (attr := simp)]
theorem prod_Ico_add_right_sub_eq [AddCommMonoid α] [PartialOrder α] [IsOrderedCancelAddMonoid α]
[ExistsAddOfLE α] [LocallyFiniteOrder α] [Sub α] [OrderedSub α] (a b c : α) :
∏ x ∈ Ico (a + c) (b + c), f (x - c) = ∏ x ∈ Ico a b, f x := by
simp only [← map_add_right_Ico, prod_map, addRightEmbedding_apply, add_tsub_cancel_right]
@[to_additive]
theorem prod_Ico_succ_top {a b : ℕ} (hab : a ≤ b) (f : ℕ → M) :
(∏ k ∈ Ico a (b + 1), f k) = (∏ k ∈ Ico a b, f k) * f b := by
rw [Nat.Ico_succ_right_eq_insert_Ico hab, prod_insert right_not_mem_Ico, mul_comm]
@[to_additive]
theorem prod_eq_prod_Ico_succ_bot {a b : ℕ} (hab : a < b) (f : ℕ → M) :
∏ k ∈ Ico a b, f k = f a * ∏ k ∈ Ico (a + 1) b, f k := by
have ha : a ∉ Ico (a + 1) b := by simp
rw [← prod_insert ha, Nat.Ico_insert_succ_left hab]
@[to_additive]
theorem prod_Ico_consecutive (f : ℕ → M) {m n k : ℕ} (hmn : m ≤ n) (hnk : n ≤ k) :
((∏ i ∈ Ico m n, f i) * ∏ i ∈ Ico n k, f i) = ∏ i ∈ Ico m k, f i :=
Ico_union_Ico_eq_Ico hmn hnk ▸ Eq.symm (prod_union (Ico_disjoint_Ico_consecutive m n k))
@[to_additive]
theorem prod_Ioc_consecutive (f : ℕ → M) {m n k : ℕ} (hmn : m ≤ n) (hnk : n ≤ k) :
((∏ i ∈ Ioc m n, f i) * ∏ i ∈ Ioc n k, f i) = ∏ i ∈ Ioc m k, f i := by
rw [← Ioc_union_Ioc_eq_Ioc hmn hnk, prod_union]
apply disjoint_left.2 fun x hx h'x => _
intros x hx h'x
exact lt_irrefl _ ((mem_Ioc.1 h'x).1.trans_le (mem_Ioc.1 hx).2)
|
@[to_additive]
theorem prod_Ioc_succ_top {a b : ℕ} (hab : a ≤ b) (f : ℕ → M) :
(∏ k ∈ Ioc a (b + 1), f k) = (∏ k ∈ Ioc a b, f k) * f (b + 1) := by
rw [← prod_Ioc_consecutive _ hab (Nat.le_succ b), Nat.Ioc_succ_singleton, prod_singleton]
| Mathlib/Algebra/BigOperators/Intervals.lean | 133 | 138 |
/-
Copyright (c) 2022 Yaël Dillies, Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Bhavik Mehta
-/
import Mathlib.Analysis.InnerProductSpace.Convex
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.Combinatorics.Additive.AP.Three.Defs
import Mathlib.Combinatorics.Pigeonhole
import Mathlib.Data.Complex.ExponentialBounds
/-!
# Behrend's bound on Roth numbers
This file proves Behrend's lower bound on Roth numbers. This says that we can find a subset of
`{1, ..., n}` of size `n / exp (O (sqrt (log n)))` which does not contain arithmetic progressions of
length `3`.
The idea is that the sphere (in the `n` dimensional Euclidean space) doesn't contain arithmetic
progressions (literally) because the corresponding ball is strictly convex. Thus we can take
integer points on that sphere and map them onto `ℕ` in a way that preserves arithmetic progressions
(`Behrend.map`).
## Main declarations
* `Behrend.sphere`: The intersection of the Euclidean sphere with the positive integer quadrant.
This is the set that we will map on `ℕ`.
* `Behrend.map`: Given a natural number `d`, `Behrend.map d : ℕⁿ → ℕ` reads off the coordinates as
digits in base `d`.
* `Behrend.card_sphere_le_rothNumberNat`: Implicit lower bound on Roth numbers in terms of
`Behrend.sphere`.
* `Behrend.roth_lower_bound`: Behrend's explicit lower bound on Roth numbers.
## References
* [Bryan Gillespie, *Behrend’s Construction*]
(http://www.epsilonsmall.com/resources/behrends-construction/behrend.pdf)
* Behrend, F. A., "On sets of integers which contain no three terms in arithmetical progression"
* [Wikipedia, *Salem-Spencer set*](https://en.wikipedia.org/wiki/Salem–Spencer_set)
## Tags
3AP-free, Salem-Spencer, Behrend construction, arithmetic progression, sphere, strictly convex
-/
assert_not_exists IsConformalMap Conformal
open Nat hiding log
open Finset Metric Real
open scoped Pointwise
/-- The frontier of a closed strictly convex set only contains trivial arithmetic progressions.
The idea is that an arithmetic progression is contained on a line and the frontier of a strictly
convex set does not contain lines. -/
lemma threeAPFree_frontier {𝕜 E : Type*} [Field 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜]
[TopologicalSpace E]
[AddCommMonoid E] [Module 𝕜 E] {s : Set E} (hs₀ : IsClosed s) (hs₁ : StrictConvex 𝕜 s) :
ThreeAPFree (frontier s) := by
intro a ha b hb c hc habc
obtain rfl : (1 / 2 : 𝕜) • a + (1 / 2 : 𝕜) • c = b := by
rwa [← smul_add, one_div, inv_smul_eq_iff₀ (show (2 : 𝕜) ≠ 0 by norm_num), two_smul]
have :=
hs₁.eq (hs₀.frontier_subset ha) (hs₀.frontier_subset hc) one_half_pos one_half_pos
(add_halves _) hb.2
simp [this, ← add_smul]
ring_nf
simp
lemma threeAPFree_sphere {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[StrictConvexSpace ℝ E] (x : E) (r : ℝ) : ThreeAPFree (sphere x r) := by
obtain rfl | hr := eq_or_ne r 0
· rw [sphere_zero]
exact threeAPFree_singleton _
· convert threeAPFree_frontier isClosed_closedBall (strictConvex_closedBall ℝ x r)
exact (frontier_closedBall _ hr).symm
namespace Behrend
variable {n d k N : ℕ} {x : Fin n → ℕ}
/-!
### Turning the sphere into 3AP-free set
We define `Behrend.sphere`, the intersection of the $L^2$ sphere with the positive quadrant of
integer points. Because the $L^2$ closed ball is strictly convex, the $L^2$ sphere and
`Behrend.sphere` are 3AP-free (`threeAPFree_sphere`). Then we can turn this set in
`Fin n → ℕ` into a set in `ℕ` using `Behrend.map`, which preserves `ThreeAPFree` because it is
an additive monoid homomorphism.
-/
/-- The box `{0, ..., d - 1}^n` as a `Finset`. -/
def box (n d : ℕ) : Finset (Fin n → ℕ) :=
Fintype.piFinset fun _ => range d
theorem mem_box : x ∈ box n d ↔ ∀ i, x i < d := by simp only [box, Fintype.mem_piFinset, mem_range]
@[simp]
theorem card_box : #(box n d) = d ^ n := by simp [box]
@[simp]
theorem box_zero : box (n + 1) 0 = ∅ := by simp [box]
/-- The intersection of the sphere of radius `√k` with the integer points in the positive
quadrant. -/
def sphere (n d k : ℕ) : Finset (Fin n → ℕ) := {x ∈ box n d | ∑ i, x i ^ 2 = k}
theorem sphere_zero_subset : sphere n d 0 ⊆ 0 := fun x => by simp [sphere, funext_iff]
@[simp]
theorem sphere_zero_right (n k : ℕ) : sphere (n + 1) 0 k = ∅ := by simp [sphere]
theorem sphere_subset_box : sphere n d k ⊆ box n d :=
filter_subset _ _
theorem norm_of_mem_sphere {x : Fin n → ℕ} (hx : x ∈ sphere n d k) :
‖(WithLp.equiv 2 _).symm ((↑) ∘ x : Fin n → ℝ)‖ = √↑k := by
| rw [EuclideanSpace.norm_eq]
| Mathlib/Combinatorics/Additive/AP/Three/Behrend.lean | 118 | 118 |
/-
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.Nat.Totient
import Mathlib.Data.ZMod.Aut
import Mathlib.Data.ZMod.QuotientGroup
import Mathlib.GroupTheory.Exponent
import Mathlib.GroupTheory.Subgroup.Simple
import Mathlib.Tactic.Group
/-!
# Cyclic groups
A group `G` is called cyclic if there exists an element `g : G` such that every element of `G` is of
the form `g ^ n` for some `n : ℕ`. This file only deals with the predicate on a group to be cyclic.
For the concrete cyclic group of order `n`, see `Data.ZMod.Basic`.
## Main definitions
* `IsCyclic` is a predicate on a group stating that the group is cyclic.
## Main statements
* `isCyclic_of_prime_card` proves that a finite group of prime order is cyclic.
* `isSimpleGroup_of_prime_card`, `IsSimpleGroup.isCyclic`,
and `IsSimpleGroup.prime_card` classify finite simple abelian groups.
* `IsCyclic.exponent_eq_card`: For a finite cyclic group `G`, the exponent is equal to
the group's cardinality.
* `IsCyclic.exponent_eq_zero_of_infinite`: Infinite cyclic groups have exponent zero.
* `IsCyclic.iff_exponent_eq_card`: A finite commutative group is cyclic iff its exponent
is equal to its cardinality.
## Tags
cyclic group
-/
assert_not_exists Ideal TwoSidedIdeal
variable {α G G' : Type*} {a : α}
section Cyclic
open Subgroup
@[to_additive]
theorem IsCyclic.exists_generator [Group α] [IsCyclic α] : ∃ g : α, ∀ x, x ∈ zpowers g :=
exists_zpow_surjective α
@[to_additive]
theorem isCyclic_iff_exists_zpowers_eq_top [Group α] : IsCyclic α ↔ ∃ g : α, zpowers g = ⊤ := by
simp only [eq_top_iff', mem_zpowers_iff]
exact ⟨fun ⟨h⟩ ↦ h, fun h ↦ ⟨h⟩⟩
@[to_additive]
protected theorem Subgroup.isCyclic_iff_exists_zpowers_eq_top [Group α] (H : Subgroup α) :
IsCyclic H ↔ ∃ g : α, Subgroup.zpowers g = H := by
rw [isCyclic_iff_exists_zpowers_eq_top]
simp_rw [← (map_injective H.subtype_injective).eq_iff, ← MonoidHom.range_eq_map,
H.range_subtype, MonoidHom.map_zpowers, Subtype.exists, coe_subtype, exists_prop]
exact exists_congr fun g ↦ and_iff_right_of_imp fun h ↦ h ▸ mem_zpowers g
@[to_additive]
instance (priority := 100) isCyclic_of_subsingleton [Group α] [Subsingleton α] : IsCyclic α :=
⟨⟨1, fun _ => ⟨0, Subsingleton.elim _ _⟩⟩⟩
@[simp]
theorem isCyclic_multiplicative_iff [SubNegMonoid α] :
IsCyclic (Multiplicative α) ↔ IsAddCyclic α :=
⟨fun H ↦ ⟨H.1⟩, fun H ↦ ⟨H.1⟩⟩
instance isCyclic_multiplicative [AddGroup α] [IsAddCyclic α] : IsCyclic (Multiplicative α) :=
isCyclic_multiplicative_iff.mpr inferInstance
@[simp]
theorem isAddCyclic_additive_iff [DivInvMonoid α] : IsAddCyclic (Additive α) ↔ IsCyclic α :=
⟨fun H ↦ ⟨H.1⟩, fun H ↦ ⟨H.1⟩⟩
instance isAddCyclic_additive [Group α] [IsCyclic α] : IsAddCyclic (Additive α) :=
isAddCyclic_additive_iff.mpr inferInstance
@[to_additive]
instance IsCyclic.commutative [Group α] [IsCyclic α] :
Std.Commutative (· * · : α → α → α) where
comm x y :=
let ⟨_, hg⟩ := IsCyclic.exists_generator (α := α)
let ⟨_, hx⟩ := hg x
let ⟨_, hy⟩ := hg y
hy ▸ hx ▸ zpow_mul_comm _ _ _
/-- A cyclic group is always commutative. This is not an `instance` because often we have a better
proof of `CommGroup`. -/
@[to_additive
"A cyclic group is always commutative. This is not an `instance` because often we have
a better proof of `AddCommGroup`."]
def IsCyclic.commGroup [hg : Group α] [IsCyclic α] : CommGroup α :=
{ hg with mul_comm := commutative.comm }
instance [Group G] (H : Subgroup G) [IsCyclic H] : IsMulCommutative H :=
⟨IsCyclic.commutative⟩
variable [Group α] [Group G] [Group G']
/-- A non-cyclic multiplicative group is non-trivial. -/
@[to_additive "A non-cyclic additive group is non-trivial."]
theorem Nontrivial.of_not_isCyclic (nc : ¬IsCyclic α) : Nontrivial α := by
contrapose! nc
exact @isCyclic_of_subsingleton _ _ (not_nontrivial_iff_subsingleton.mp nc)
@[to_additive]
theorem MonoidHom.map_cyclic [h : IsCyclic G] (σ : G →* G) :
∃ m : ℤ, ∀ g : G, σ g = g ^ m := by
obtain ⟨h, hG⟩ := IsCyclic.exists_generator (α := G)
obtain ⟨m, hm⟩ := hG (σ h)
refine ⟨m, fun g => ?_⟩
obtain ⟨n, rfl⟩ := hG g
rw [MonoidHom.map_zpow, ← hm, ← zpow_mul, ← zpow_mul']
@[to_additive]
lemma isCyclic_iff_exists_orderOf_eq_natCard [Finite α] :
IsCyclic α ↔ ∃ g : α, orderOf g = Nat.card α := by
simp_rw [isCyclic_iff_exists_zpowers_eq_top, ← card_eq_iff_eq_top, Nat.card_zpowers]
@[to_additive]
lemma isCyclic_iff_exists_natCard_le_orderOf [Finite α] :
IsCyclic α ↔ ∃ g : α, Nat.card α ≤ orderOf g := by
rw [isCyclic_iff_exists_orderOf_eq_natCard]
apply exists_congr
intro g
exact ⟨Eq.ge, le_antisymm orderOf_le_card⟩
@[deprecated (since := "2024-12-20")]
alias isCyclic_iff_exists_ofOrder_eq_natCard := isCyclic_iff_exists_orderOf_eq_natCard
@[deprecated (since := "2024-12-20")]
alias isAddCyclic_iff_exists_ofOrder_eq_natCard := isAddCyclic_iff_exists_addOrderOf_eq_natCard
@[deprecated (since := "2024-12-20")]
alias IsCyclic.iff_exists_ofOrder_eq_natCard_of_Fintype :=
isCyclic_iff_exists_orderOf_eq_natCard
@[deprecated (since := "2024-12-20")]
alias IsAddCyclic.iff_exists_ofOrder_eq_natCard_of_Fintype :=
| isAddCyclic_iff_exists_addOrderOf_eq_natCard
@[to_additive]
theorem isCyclic_of_orderOf_eq_card [Finite α] (x : α) (hx : orderOf x = Nat.card α) :
IsCyclic α :=
| Mathlib/GroupTheory/SpecificGroups/Cyclic.lean | 146 | 150 |
/-
Copyright (c) 2022 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Patrick Massot, Sébastien Gouëzel, Zhouhang Zhou, Reid Barton,
Anatole Dedecker
-/
import Mathlib.Logic.Equiv.Fin.Basic
import Mathlib.Topology.UniformSpace.UniformEmbedding
import Mathlib.Topology.UniformSpace.Pi
/-!
# Uniform isomorphisms
This file defines uniform isomorphisms between two uniform spaces. They are bijections with both
directions uniformly continuous. We denote uniform isomorphisms with the notation `≃ᵤ`.
# Main definitions
* `UniformEquiv α β`: The type of uniform isomorphisms from `α` to `β`.
This type can be denoted using the following notation: `α ≃ᵤ β`.
-/
open Set Filter
universe u v
variable {α : Type u} {β : Type*} {γ : Type*} {δ : Type*}
-- not all spaces are homeomorphic to each other
/-- Uniform isomorphism between `α` and `β` -/
structure UniformEquiv (α : Type*) (β : Type*) [UniformSpace α] [UniformSpace β] extends
α ≃ β where
/-- Uniform continuity of the function -/
uniformContinuous_toFun : UniformContinuous toFun
/-- Uniform continuity of the inverse -/
uniformContinuous_invFun : UniformContinuous invFun
/-- Uniform isomorphism between `α` and `β` -/
infixl:25 " ≃ᵤ " => UniformEquiv
namespace UniformEquiv
variable [UniformSpace α] [UniformSpace β] [UniformSpace γ] [UniformSpace δ]
theorem toEquiv_injective : Function.Injective (toEquiv : α ≃ᵤ β → α ≃ β)
| ⟨e, h₁, h₂⟩, ⟨e', h₁', h₂'⟩, h => by simpa only [mk.injEq]
instance : EquivLike (α ≃ᵤ β) α β where
| coe h := h.toEquiv
inv h := h.toEquiv.symm
| Mathlib/Topology/UniformSpace/Equiv.lean | 51 | 52 |
/-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Mathlib.Data.Stream.Defs
import Mathlib.Logic.Function.Basic
import Mathlib.Data.List.Defs
import Mathlib.Data.Nat.Basic
import Mathlib.Tactic.Common
/-!
# Streams a.k.a. infinite lists a.k.a. infinite sequences
-/
open Nat Function Option
namespace Stream'
universe u v w
variable {α : Type u} {β : Type v} {δ : Type w}
variable (m n : ℕ) (x y : List α) (a b : Stream' α)
instance [Inhabited α] : Inhabited (Stream' α) :=
⟨Stream'.const default⟩
@[simp] protected theorem eta (s : Stream' α) : head s :: tail s = s :=
funext fun i => by cases i <;> rfl
/-- Alias for `Stream'.eta` to match `List` API. -/
alias cons_head_tail := Stream'.eta
@[ext]
protected theorem ext {s₁ s₂ : Stream' α} : (∀ n, get s₁ n = get s₂ n) → s₁ = s₂ :=
fun h => funext h
@[simp]
theorem get_zero_cons (a : α) (s : Stream' α) : get (a::s) 0 = a :=
rfl
@[simp]
theorem head_cons (a : α) (s : Stream' α) : head (a::s) = a :=
rfl
@[simp]
theorem tail_cons (a : α) (s : Stream' α) : tail (a::s) = s :=
rfl
@[simp]
theorem get_drop (n m : ℕ) (s : Stream' α) : get (drop m s) n = get s (m + n) := by
rw [Nat.add_comm]
rfl
theorem tail_eq_drop (s : Stream' α) : tail s = drop 1 s :=
rfl
@[simp]
theorem drop_drop (n m : ℕ) (s : Stream' α) : drop n (drop m s) = drop (m + n) s := by
ext; simp [Nat.add_assoc]
@[simp] theorem get_tail {n : ℕ} {s : Stream' α} : s.tail.get n = s.get (n + 1) := rfl
@[simp] theorem tail_drop' {i : ℕ} {s : Stream' α} : tail (drop i s) = s.drop (i + 1) := by
ext; simp [Nat.add_comm, Nat.add_assoc, Nat.add_left_comm]
@[simp] theorem drop_tail' {i : ℕ} {s : Stream' α} : drop i (tail s) = s.drop (i + 1) := rfl
theorem tail_drop (n : ℕ) (s : Stream' α) : tail (drop n s) = drop n (tail s) := by simp
theorem get_succ (n : ℕ) (s : Stream' α) : get s (succ n) = get (tail s) n :=
rfl
@[simp]
theorem get_succ_cons (n : ℕ) (s : Stream' α) (x : α) : get (x :: s) n.succ = get s n :=
rfl
@[simp] lemma get_cons_append_zero {a : α} {x : List α} {s : Stream' α} :
(a :: x ++ₛ s).get 0 = a := rfl
@[simp] lemma append_eq_cons {a : α} {as : Stream' α} : [a] ++ₛ as = a :: as := by rfl
@[simp] theorem drop_zero {s : Stream' α} : s.drop 0 = s := rfl
theorem drop_succ (n : ℕ) (s : Stream' α) : drop (succ n) s = drop n (tail s) :=
rfl
theorem head_drop (a : Stream' α) (n : ℕ) : (a.drop n).head = a.get n := by simp
theorem cons_injective2 : Function.Injective2 (cons : α → Stream' α → Stream' α) := fun x y s t h =>
⟨by rw [← get_zero_cons x s, h, get_zero_cons],
Stream'.ext fun n => by rw [← get_succ_cons n _ x, h, get_succ_cons]⟩
theorem cons_injective_left (s : Stream' α) : Function.Injective fun x => cons x s :=
cons_injective2.left _
theorem cons_injective_right (x : α) : Function.Injective (cons x) :=
cons_injective2.right _
theorem all_def (p : α → Prop) (s : Stream' α) : All p s = ∀ n, p (get s n) :=
rfl
theorem any_def (p : α → Prop) (s : Stream' α) : Any p s = ∃ n, p (get s n) :=
rfl
@[simp]
theorem mem_cons (a : α) (s : Stream' α) : a ∈ a::s :=
Exists.intro 0 rfl
theorem mem_cons_of_mem {a : α} {s : Stream' α} (b : α) : a ∈ s → a ∈ b::s := fun ⟨n, h⟩ =>
Exists.intro (succ n) (by rw [get_succ, tail_cons, h])
theorem eq_or_mem_of_mem_cons {a b : α} {s : Stream' α} : (a ∈ b::s) → a = b ∨ a ∈ s :=
fun ⟨n, h⟩ => by
rcases n with - | n'
· left
exact h
· right
rw [get_succ, tail_cons] at h
exact ⟨n', h⟩
theorem mem_of_get_eq {n : ℕ} {s : Stream' α} {a : α} : a = get s n → a ∈ s := fun h =>
Exists.intro n h
section Map
variable (f : α → β)
|
theorem drop_map (n : ℕ) (s : Stream' α) : drop n (map f s) = map f (drop n s) :=
Stream'.ext fun _ => rfl
@[simp]
theorem get_map (n : ℕ) (s : Stream' α) : get (map f s) n = f (get s n) :=
rfl
| Mathlib/Data/Stream/Init.lean | 127 | 134 |
/-
Copyright (c) 2022 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import Mathlib.Algebra.Order.Group.Nat
import Mathlib.Data.Countable.Basic
import Mathlib.Data.Finset.Max
import Mathlib.Data.Fintype.Pigeonhole
import Mathlib.Logic.Encodable.Basic
import Mathlib.Order.Interval.Finset.Defs
import Mathlib.Order.SuccPred.Archimedean
/-!
# Linear locally finite orders
We prove that a `LinearOrder` which is a `LocallyFiniteOrder` also verifies
* `SuccOrder`
* `PredOrder`
* `IsSuccArchimedean`
* `IsPredArchimedean`
* `Countable`
Furthermore, we show that there is an `OrderIso` between such an order and a subset of `ℤ`.
## Main definitions
* `toZ i0 i`: in a linear order on which we can define predecessors and successors and which is
succ-archimedean, we can assign a unique integer `toZ i0 i` to each element `i : ι` while
respecting the order, starting from `toZ i0 i0 = 0`.
## Main results
Results about linear locally finite orders:
* `LinearLocallyFiniteOrder.SuccOrder`: a linear locally finite order has a successor function.
* `LinearLocallyFiniteOrder.PredOrder`: a linear locally finite order has a predecessor
function.
* `LinearLocallyFiniteOrder.isSuccArchimedean`: a linear locally finite order is
succ-archimedean.
* `LinearOrder.pred_archimedean_of_succ_archimedean`: a succ-archimedean linear order is also
pred-archimedean.
* `countable_of_linear_succ_pred_arch` : a succ-archimedean linear order is countable.
About `toZ`:
* `orderIsoRangeToZOfLinearSuccPredArch`: `toZ` defines an `OrderIso` between `ι` and its
range.
* `orderIsoNatOfLinearSuccPredArch`: if the order has a bot but no top, `toZ` defines an
`OrderIso` between `ι` and `ℕ`.
* `orderIsoIntOfLinearSuccPredArch`: if the order has neither bot nor top, `toZ` defines an
`OrderIso` between `ι` and `ℤ`.
* `orderIsoRangeOfLinearSuccPredArch`: if the order has both a bot and a top, `toZ` gives an
`OrderIso` between `ι` and `Finset.range ((toZ ⊥ ⊤).toNat + 1)`.
-/
open Order
variable {ι : Type*} [LinearOrder ι]
namespace LinearOrder
variable [SuccOrder ι] [PredOrder ι]
instance (priority := 100) isPredArchimedean_of_isSuccArchimedean [IsSuccArchimedean ι] :
IsPredArchimedean ι where
exists_pred_iterate_of_le {i j} hij := by
have h_exists := exists_succ_iterate_of_le hij
obtain ⟨n, hn_eq, hn_lt_ne⟩ : ∃ n, succ^[n] i = j ∧ ∀ m < n, succ^[m] i ≠ j :=
⟨Nat.find h_exists, Nat.find_spec h_exists, fun m hmn ↦ Nat.find_min h_exists hmn⟩
refine ⟨n, ?_⟩
rw [← hn_eq]
cases n with
| zero => simp only [Function.iterate_zero, id]
| succ n =>
rw [pred_succ_iterate_of_not_isMax]
rw [Nat.succ_sub_succ_eq_sub, tsub_zero]
suffices succ^[n] i < succ^[n.succ] i from not_isMax_of_lt this
refine lt_of_le_of_ne ?_ ?_
· rw [Function.iterate_succ_apply']
exact le_succ _
· rw [hn_eq]
exact hn_lt_ne _ (Nat.lt_succ_self n)
instance isSuccArchimedean_of_isPredArchimedean [IsPredArchimedean ι] : IsSuccArchimedean ι :=
inferInstanceAs (IsSuccArchimedean ιᵒᵈᵒᵈ)
/-- In a linear `SuccOrder` that's also a `PredOrder`, `IsSuccArchimedean` and `IsPredArchimedean`
are equivalent. -/
theorem isSuccArchimedean_iff_isPredArchimedean : IsSuccArchimedean ι ↔ IsPredArchimedean ι where
mp _ := isPredArchimedean_of_isSuccArchimedean
mpr _ := isSuccArchimedean_of_isPredArchimedean
end LinearOrder
namespace LinearLocallyFiniteOrder
/-- Successor in a linear order. This defines a true successor only when `i` is isolated from above,
i.e. when `i` is not the greatest lower bound of `(i, ∞)`. -/
noncomputable def succFn (i : ι) : ι :=
(exists_glb_Ioi i).choose
theorem succFn_spec (i : ι) : IsGLB (Set.Ioi i) (succFn i) :=
(exists_glb_Ioi i).choose_spec
theorem le_succFn (i : ι) : i ≤ succFn i := by
rw [le_isGLB_iff (succFn_spec i), mem_lowerBounds]
exact fun x hx ↦ le_of_lt hx
theorem isGLB_Ioc_of_isGLB_Ioi {i j k : ι} (hij_lt : i < j) (h : IsGLB (Set.Ioi i) k) :
IsGLB (Set.Ioc i j) k := by
simp_rw [IsGLB, IsGreatest, mem_upperBounds, mem_lowerBounds] at h ⊢
refine ⟨fun x hx ↦ h.1 x hx.1, fun x hx ↦ h.2 x ?_⟩
intro y hy
rcases le_or_lt y j with h_le | h_lt
· exact hx y ⟨hy, h_le⟩
· exact le_trans (hx j ⟨hij_lt, le_rfl⟩) h_lt.le
theorem isMax_of_succFn_le [LocallyFiniteOrder ι] (i : ι) (hi : succFn i ≤ i) : IsMax i := by
refine fun j _ ↦ not_lt.mp fun hij_lt ↦ ?_
have h_succFn_eq : succFn i = i := le_antisymm hi (le_succFn i)
have h_glb : IsGLB (Finset.Ioc i j : Set ι) i := by
rw [Finset.coe_Ioc]
have h := succFn_spec i
rw [h_succFn_eq] at h
exact isGLB_Ioc_of_isGLB_Ioi hij_lt h
have hi_mem : i ∈ Finset.Ioc i j := by
refine Finset.isGLB_mem _ h_glb ?_
exact ⟨_, Finset.mem_Ioc.mpr ⟨hij_lt, le_rfl⟩⟩
rw [Finset.mem_Ioc] at hi_mem
exact lt_irrefl i hi_mem.1
theorem succFn_le_of_lt (i j : ι) (hij : i < j) : succFn i ≤ j := by
have h := succFn_spec i
rw [IsGLB, IsGreatest, mem_lowerBounds] at h
exact h.1 j hij
theorem le_of_lt_succFn (j i : ι) (hij : j < succFn i) : j ≤ i := by
rw [lt_isGLB_iff (succFn_spec i)] at hij
obtain ⟨k, hk_lb, hk⟩ := hij
rw [mem_lowerBounds] at hk_lb
exact not_lt.mp fun hi_lt_j ↦ not_le.mpr hk (hk_lb j hi_lt_j)
variable (ι) in
/-- A locally finite order is a `SuccOrder`.
This is not an instance, because its `succ` field conflicts with computable `SuccOrder` structures
on `ℕ` and `ℤ`. -/
noncomputable def succOrder [LocallyFiniteOrder ι] : SuccOrder ι where
succ := succFn
le_succ := le_succFn
max_of_succ_le h := isMax_of_succFn_le _ h
succ_le_of_lt h := succFn_le_of_lt _ _ h
variable (ι) in
/-- A locally finite order is a `PredOrder`.
This is not an instance, because its `succ` field conflicts with computable `PredOrder` structures
on `ℕ` and `ℤ`. -/
noncomputable def predOrder [LocallyFiniteOrder ι] : PredOrder ι :=
letI := succOrder (ι := ιᵒᵈ)
inferInstanceAs (PredOrder ιᵒᵈᵒᵈ)
instance (priority := 100) [LocallyFiniteOrder ι] [SuccOrder ι] : IsSuccArchimedean ι where
exists_succ_iterate_of_le := by
intro i j hij
rw [le_iff_lt_or_eq] at hij
rcases hij with hij | hij
swap
· refine ⟨0, ?_⟩
simpa only [Function.iterate_zero, id] using hij
by_contra! h
have h_lt : ∀ n, succ^[n] i < j := by
intro n
induction' n with n hn
· simpa only [Function.iterate_zero, id] using hij
· refine lt_of_le_of_ne ?_ (h _)
rw [Function.iterate_succ', Function.comp_apply]
exact succ_le_of_lt hn
have h_mem : ∀ n, succ^[n] i ∈ Finset.Icc i j :=
fun n ↦ Finset.mem_Icc.mpr ⟨le_succ_iterate n i, (h_lt n).le⟩
obtain ⟨n, m, hnm, h_eq⟩ : ∃ n m, n < m ∧ succ^[n] i = succ^[m] i := by
let f : ℕ → Finset.Icc i j := fun n ↦ ⟨succ^[n] i, h_mem n⟩
obtain ⟨n, m, hnm_ne, hfnm⟩ : ∃ n m, n ≠ m ∧ f n = f m :=
Finite.exists_ne_map_eq_of_infinite f
have hnm_eq : succ^[n] i = succ^[m] i := by simpa only [f, Subtype.mk_eq_mk] using hfnm
rcases le_total n m with h_le | h_le
· exact ⟨n, m, lt_of_le_of_ne h_le hnm_ne, hnm_eq⟩
· exact ⟨m, n, lt_of_le_of_ne h_le hnm_ne.symm, hnm_eq.symm⟩
have h_max : IsMax (succ^[n] i) := isMax_iterate_succ_of_eq_of_ne h_eq hnm.ne
exact not_le.mpr (h_lt n) (h_max (h_lt n).le)
instance (priority := 100) [LocallyFiniteOrder ι] [PredOrder ι] : IsPredArchimedean ι :=
inferInstanceAs (IsPredArchimedean ιᵒᵈᵒᵈ)
end LinearLocallyFiniteOrder
section toZ
-- Requiring either of `IsSuccArchimedean` or `IsPredArchimedean` is equivalent.
variable [SuccOrder ι] [IsSuccArchimedean ι] [PredOrder ι] {i0 i : ι}
-- For "to_Z"
/-- `toZ` numbers elements of `ι` according to their order, starting from `i0`. We prove in
`orderIsoRangeToZOfLinearSuccPredArch` that this defines an `OrderIso` between `ι` and
the range of `toZ`. -/
def toZ (i0 i : ι) : ℤ :=
dite (i0 ≤ i) (fun hi ↦ Nat.find (exists_succ_iterate_of_le hi)) fun hi ↦
-Nat.find (exists_pred_iterate_of_le (α := ι) (not_le.mp hi).le)
theorem toZ_of_ge (hi : i0 ≤ i) : toZ i0 i = Nat.find (exists_succ_iterate_of_le hi) :=
dif_pos hi
theorem toZ_of_lt (hi : i < i0) :
toZ i0 i = -Nat.find (exists_pred_iterate_of_le (α := ι) hi.le) :=
dif_neg (not_le.mpr hi)
@[simp]
theorem toZ_of_eq : toZ i0 i0 = 0 := by
rw [toZ_of_ge le_rfl]
norm_cast
refine le_antisymm (Nat.find_le ?_) (zero_le _)
rw [Function.iterate_zero, id]
theorem iterate_succ_toZ (i : ι) (hi : i0 ≤ i) : succ^[(toZ i0 i).toNat] i0 = i := by
rw [toZ_of_ge hi, Int.toNat_natCast]
exact Nat.find_spec (exists_succ_iterate_of_le hi)
theorem iterate_pred_toZ (i : ι) (hi : i < i0) : pred^[(-toZ i0 i).toNat] i0 = i := by
rw [toZ_of_lt hi, neg_neg, Int.toNat_natCast]
exact Nat.find_spec (exists_pred_iterate_of_le hi.le)
lemma toZ_nonneg (hi : i0 ≤ i) : 0 ≤ toZ i0 i := by rw [toZ_of_ge hi]; exact Int.natCast_nonneg _
theorem toZ_neg (hi : i < i0) : toZ i0 i < 0 := by
refine lt_of_le_of_ne ?_ ?_
· rw [toZ_of_lt hi]
omega
· by_contra h
have h_eq := iterate_pred_toZ i hi
rw [← h_eq, h] at hi
simp only [neg_zero, Int.toNat_zero, Function.iterate_zero, id, lt_self_iff_false] at hi
theorem toZ_iterate_succ_le (n : ℕ) : toZ i0 (succ^[n] i0) ≤ n := by
rw [toZ_of_ge (le_succ_iterate _ _)]
norm_cast
exact Nat.find_min' _ rfl
theorem toZ_iterate_pred_ge (n : ℕ) : -(n : ℤ) ≤ toZ i0 (pred^[n] i0) := by
rcases le_or_lt i0 (pred^[n] i0) with h | h
· have h_eq : pred^[n] i0 = i0 := le_antisymm (pred_iterate_le _ _) h
| rw [h_eq, toZ_of_eq]
omega
· rw [toZ_of_lt h]
refine Int.neg_le_neg ?_
norm_cast
exact Nat.find_min' _ rfl
theorem toZ_iterate_succ_of_not_isMax (n : ℕ) (hn : ¬IsMax (succ^[n] i0)) :
toZ i0 (succ^[n] i0) = n := by
let m := (toZ i0 (succ^[n] i0)).toNat
| Mathlib/Order/SuccPred/LinearLocallyFinite.lean | 251 | 260 |
/-
Copyright (c) 2019 Calle Sönne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Calle Sönne
-/
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic
import Mathlib.Analysis.Normed.Group.AddCircle
import Mathlib.Algebra.CharZero.Quotient
import Mathlib.Topology.Instances.Sign
/-!
# The type of angles
In this file we define `Real.Angle` to be the quotient group `ℝ/2πℤ` and prove a few simple lemmas
about trigonometric functions and angles.
-/
open Real
noncomputable section
namespace Real
/-- The type of angles -/
def Angle : Type :=
AddCircle (2 * π)
-- The `NormedAddCommGroup, Inhabited` instances should be constructed by a deriving handler.
-- https://github.com/leanprover-community/mathlib4/issues/380
namespace Angle
instance : NormedAddCommGroup Angle :=
inferInstanceAs (NormedAddCommGroup (AddCircle (2 * π)))
instance : Inhabited Angle :=
inferInstanceAs (Inhabited (AddCircle (2 * π)))
/-- The canonical map from `ℝ` to the quotient `Angle`. -/
@[coe]
protected def coe (r : ℝ) : Angle := QuotientAddGroup.mk r
instance : Coe ℝ Angle := ⟨Angle.coe⟩
instance : CircularOrder Real.Angle :=
QuotientAddGroup.circularOrder (hp' := ⟨by norm_num [pi_pos]⟩)
@[continuity]
theorem continuous_coe : Continuous ((↑) : ℝ → Angle) :=
continuous_quotient_mk'
/-- Coercion `ℝ → Angle` as an additive homomorphism. -/
def coeHom : ℝ →+ Angle :=
QuotientAddGroup.mk' _
@[simp]
theorem coe_coeHom : (coeHom : ℝ → Angle) = ((↑) : ℝ → Angle) :=
rfl
/-- An induction principle to deduce results for `Angle` from those for `ℝ`, used with
`induction θ using Real.Angle.induction_on`. -/
@[elab_as_elim]
protected theorem induction_on {p : Angle → Prop} (θ : Angle) (h : ∀ x : ℝ, p x) : p θ :=
Quotient.inductionOn' θ h
@[simp]
theorem coe_zero : ↑(0 : ℝ) = (0 : Angle) :=
rfl
@[simp]
theorem coe_add (x y : ℝ) : ↑(x + y : ℝ) = (↑x + ↑y : Angle) :=
rfl
@[simp]
theorem coe_neg (x : ℝ) : ↑(-x : ℝ) = -(↑x : Angle) :=
rfl
@[simp]
theorem coe_sub (x y : ℝ) : ↑(x - y : ℝ) = (↑x - ↑y : Angle) :=
rfl
theorem coe_nsmul (n : ℕ) (x : ℝ) : ↑(n • x : ℝ) = n • (↑x : Angle) :=
rfl
theorem coe_zsmul (z : ℤ) (x : ℝ) : ↑(z • x : ℝ) = z • (↑x : Angle) :=
rfl
theorem coe_eq_zero_iff {x : ℝ} : (x : Angle) = 0 ↔ ∃ n : ℤ, n • (2 * π) = x :=
AddCircle.coe_eq_zero_iff (2 * π)
@[simp, norm_cast]
theorem natCast_mul_eq_nsmul (x : ℝ) (n : ℕ) : ↑((n : ℝ) * x) = n • (↑x : Angle) := by
simpa only [nsmul_eq_mul] using coeHom.map_nsmul x n
@[simp, norm_cast]
theorem intCast_mul_eq_zsmul (x : ℝ) (n : ℤ) : ↑((n : ℝ) * x : ℝ) = n • (↑x : Angle) := by
simpa only [zsmul_eq_mul] using coeHom.map_zsmul x n
theorem angle_eq_iff_two_pi_dvd_sub {ψ θ : ℝ} : (θ : Angle) = ψ ↔ ∃ k : ℤ, θ - ψ = 2 * π * k := by
simp only [QuotientAddGroup.eq, AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
rw [Angle.coe, Angle.coe, QuotientAddGroup.eq]
simp only [AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
@[simp]
theorem coe_two_pi : ↑(2 * π : ℝ) = (0 : Angle) :=
angle_eq_iff_two_pi_dvd_sub.2 ⟨1, by rw [sub_zero, Int.cast_one, mul_one]⟩
@[simp]
theorem neg_coe_pi : -(π : Angle) = π := by
rw [← coe_neg, angle_eq_iff_two_pi_dvd_sub]
use -1
simp [two_mul, sub_eq_add_neg]
@[simp]
theorem two_nsmul_coe_div_two (θ : ℝ) : (2 : ℕ) • (↑(θ / 2) : Angle) = θ := by
| rw [← coe_nsmul, two_nsmul, add_halves]
@[simp]
theorem two_zsmul_coe_div_two (θ : ℝ) : (2 : ℤ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_zsmul, two_zsmul, add_halves]
theorem two_nsmul_neg_pi_div_two : (2 : ℕ) • (↑(-π / 2) : Angle) = π := by
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean | 119 | 125 |
/-
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, Patrick Massot, Yury Kudryashov, Rémy Degenne
-/
import Mathlib.Data.Set.Subsingleton
import Mathlib.Order.Interval.Set.Defs
/-!
# Intervals
In any preorder, we define intervals (which on each side can be either infinite, open or closed)
using the following naming conventions:
- `i`: infinite
- `o`: open
- `c`: closed
Each interval has the name `I` + letter for left side + letter for right side.
For instance, `Ioc a b` denotes the interval `(a, b]`.
The definitions can be found in `Mathlib.Order.Interval.Set.Defs`.
This file contains basic facts on inclusion of and set operations on intervals
(where the precise statements depend on the order's properties;
statements requiring `LinearOrder` are in `Mathlib.Order.Interval.Set.LinearOrder`).
TODO: This is just the beginning; a lot of rules are missing
-/
assert_not_exists RelIso
open Function
open OrderDual (toDual ofDual)
variable {α : Type*}
namespace Set
section Preorder
variable [Preorder α] {a a₁ a₂ b b₁ b₂ c x : α}
instance decidableMemIoo [Decidable (a < x ∧ x < b)] : Decidable (x ∈ Ioo a b) := by assumption
instance decidableMemIco [Decidable (a ≤ x ∧ x < b)] : Decidable (x ∈ Ico a b) := by assumption
instance decidableMemIio [Decidable (x < b)] : Decidable (x ∈ Iio b) := by assumption
instance decidableMemIcc [Decidable (a ≤ x ∧ x ≤ b)] : Decidable (x ∈ Icc a b) := by assumption
instance decidableMemIic [Decidable (x ≤ b)] : Decidable (x ∈ Iic b) := by assumption
instance decidableMemIoc [Decidable (a < x ∧ x ≤ b)] : Decidable (x ∈ Ioc a b) := by assumption
instance decidableMemIci [Decidable (a ≤ x)] : Decidable (x ∈ Ici a) := by assumption
instance decidableMemIoi [Decidable (a < x)] : Decidable (x ∈ Ioi a) := by assumption
theorem left_mem_Ioo : a ∈ Ioo a b ↔ False := by simp [lt_irrefl]
theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp [le_refl]
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp [le_refl]
theorem left_mem_Ioc : a ∈ Ioc a b ↔ False := by simp [lt_irrefl]
theorem left_mem_Ici : a ∈ Ici a := by simp
theorem right_mem_Ioo : b ∈ Ioo a b ↔ False := by simp [lt_irrefl]
theorem right_mem_Ico : b ∈ Ico a b ↔ False := by simp [lt_irrefl]
theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp [le_refl]
theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by simp [le_refl]
theorem right_mem_Iic : a ∈ Iic a := by simp
@[simp]
theorem Ici_toDual : Ici (toDual a) = ofDual ⁻¹' Iic a :=
rfl
@[deprecated (since := "2025-03-20")]
alias dual_Ici := Ici_toDual
@[simp]
theorem Iic_toDual : Iic (toDual a) = ofDual ⁻¹' Ici a :=
rfl
@[deprecated (since := "2025-03-20")]
alias dual_Iic := Iic_toDual
@[simp]
theorem Ioi_toDual : Ioi (toDual a) = ofDual ⁻¹' Iio a :=
rfl
@[deprecated (since := "2025-03-20")]
alias dual_Ioi := Ioi_toDual
@[simp]
theorem Iio_toDual : Iio (toDual a) = ofDual ⁻¹' Ioi a :=
rfl
@[deprecated (since := "2025-03-20")]
alias dual_Iio := Iio_toDual
@[simp]
theorem Icc_toDual : Icc (toDual a) (toDual b) = ofDual ⁻¹' Icc b a :=
Set.ext fun _ => and_comm
@[deprecated (since := "2025-03-20")]
alias dual_Icc := Icc_toDual
@[simp]
theorem Ioc_toDual : Ioc (toDual a) (toDual b) = ofDual ⁻¹' Ico b a :=
Set.ext fun _ => and_comm
@[deprecated (since := "2025-03-20")]
alias dual_Ioc := Ioc_toDual
@[simp]
theorem Ico_toDual : Ico (toDual a) (toDual b) = ofDual ⁻¹' Ioc b a :=
Set.ext fun _ => and_comm
@[deprecated (since := "2025-03-20")]
alias dual_Ico := Ico_toDual
@[simp]
theorem Ioo_toDual : Ioo (toDual a) (toDual b) = ofDual ⁻¹' Ioo b a :=
Set.ext fun _ => and_comm
@[deprecated (since := "2025-03-20")]
alias dual_Ioo := Ioo_toDual
@[simp]
theorem Ici_ofDual {x : αᵒᵈ} : Ici (ofDual x) = toDual ⁻¹' Iic x :=
rfl
@[simp]
theorem Iic_ofDual {x : αᵒᵈ} : Iic (ofDual x) = toDual ⁻¹' Ici x :=
rfl
@[simp]
theorem Ioi_ofDual {x : αᵒᵈ} : Ioi (ofDual x) = toDual ⁻¹' Iio x :=
rfl
@[simp]
theorem Iio_ofDual {x : αᵒᵈ} : Iio (ofDual x) = toDual ⁻¹' Ioi x :=
rfl
@[simp]
theorem Icc_ofDual {x y : αᵒᵈ} : Icc (ofDual y) (ofDual x) = toDual ⁻¹' Icc x y :=
Set.ext fun _ => and_comm
@[simp]
theorem Ico_ofDual {x y : αᵒᵈ} : Ico (ofDual y) (ofDual x) = toDual ⁻¹' Ioc x y :=
Set.ext fun _ => and_comm
@[simp]
theorem Ioc_ofDual {x y : αᵒᵈ} : Ioc (ofDual y) (ofDual x) = toDual ⁻¹' Ico x y :=
Set.ext fun _ => and_comm
@[simp]
theorem Ioo_ofDual {x y : αᵒᵈ} : Ioo (ofDual y) (ofDual x) = toDual ⁻¹' Ioo x y :=
Set.ext fun _ => and_comm
@[simp]
theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b :=
⟨fun ⟨_, hx⟩ => hx.1.trans hx.2, fun h => ⟨a, left_mem_Icc.2 h⟩⟩
@[simp]
theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b :=
⟨fun ⟨_, hx⟩ => hx.1.trans_lt hx.2, fun h => ⟨a, left_mem_Ico.2 h⟩⟩
@[simp]
theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b :=
⟨fun ⟨_, hx⟩ => hx.1.trans_le hx.2, fun h => ⟨b, right_mem_Ioc.2 h⟩⟩
@[simp]
theorem nonempty_Ici : (Ici a).Nonempty :=
⟨a, left_mem_Ici⟩
@[simp]
theorem nonempty_Iic : (Iic a).Nonempty :=
⟨a, right_mem_Iic⟩
@[simp]
theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b :=
⟨fun ⟨_, ha, hb⟩ => ha.trans hb, exists_between⟩
@[simp]
theorem nonempty_Ioi [NoMaxOrder α] : (Ioi a).Nonempty :=
exists_gt a
@[simp]
theorem nonempty_Iio [NoMinOrder α] : (Iio a).Nonempty :=
exists_lt a
theorem nonempty_Icc_subtype (h : a ≤ b) : Nonempty (Icc a b) :=
Nonempty.to_subtype (nonempty_Icc.mpr h)
theorem nonempty_Ico_subtype (h : a < b) : Nonempty (Ico a b) :=
Nonempty.to_subtype (nonempty_Ico.mpr h)
theorem nonempty_Ioc_subtype (h : a < b) : Nonempty (Ioc a b) :=
Nonempty.to_subtype (nonempty_Ioc.mpr h)
/-- An interval `Ici a` is nonempty. -/
instance nonempty_Ici_subtype : Nonempty (Ici a) :=
Nonempty.to_subtype nonempty_Ici
/-- An interval `Iic a` is nonempty. -/
instance nonempty_Iic_subtype : Nonempty (Iic a) :=
Nonempty.to_subtype nonempty_Iic
theorem nonempty_Ioo_subtype [DenselyOrdered α] (h : a < b) : Nonempty (Ioo a b) :=
Nonempty.to_subtype (nonempty_Ioo.mpr h)
/-- In an order without maximal elements, the intervals `Ioi` are nonempty. -/
instance nonempty_Ioi_subtype [NoMaxOrder α] : Nonempty (Ioi a) :=
Nonempty.to_subtype nonempty_Ioi
/-- In an order without minimal elements, the intervals `Iio` are nonempty. -/
instance nonempty_Iio_subtype [NoMinOrder α] : Nonempty (Iio a) :=
Nonempty.to_subtype nonempty_Iio
instance [NoMinOrder α] : NoMinOrder (Iio a) :=
⟨fun a =>
let ⟨b, hb⟩ := exists_lt (a : α)
⟨⟨b, lt_trans hb a.2⟩, hb⟩⟩
instance [NoMinOrder α] : NoMinOrder (Iic a) :=
⟨fun a =>
let ⟨b, hb⟩ := exists_lt (a : α)
⟨⟨b, hb.le.trans a.2⟩, hb⟩⟩
instance [NoMaxOrder α] : NoMaxOrder (Ioi a) :=
OrderDual.noMaxOrder (α := Iio (toDual a))
instance [NoMaxOrder α] : NoMaxOrder (Ici a) :=
OrderDual.noMaxOrder (α := Iic (toDual a))
@[simp]
theorem Icc_eq_empty (h : ¬a ≤ b) : Icc a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ ⟨ha, hb⟩ => h (ha.trans hb)
@[simp]
theorem Ico_eq_empty (h : ¬a < b) : Ico a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ ⟨ha, hb⟩ => h (ha.trans_lt hb)
@[simp]
theorem Ioc_eq_empty (h : ¬a < b) : Ioc a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ ⟨ha, hb⟩ => h (ha.trans_le hb)
@[simp]
theorem Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ ⟨ha, hb⟩ => h (ha.trans hb)
@[simp]
theorem Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ :=
Icc_eq_empty h.not_le
@[simp]
theorem Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ :=
Ico_eq_empty h.not_lt
@[simp]
theorem Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ :=
Ioc_eq_empty h.not_lt
@[simp]
theorem Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ :=
Ioo_eq_empty h.not_lt
theorem Ico_self (a : α) : Ico a a = ∅ :=
Ico_eq_empty <| lt_irrefl _
theorem Ioc_self (a : α) : Ioc a a = ∅ :=
Ioc_eq_empty <| lt_irrefl _
theorem Ioo_self (a : α) : Ioo a a = ∅ :=
Ioo_eq_empty <| lt_irrefl _
@[simp]
theorem Ici_subset_Ici : Ici a ⊆ Ici b ↔ b ≤ a :=
⟨fun h => h <| left_mem_Ici, fun h _ hx => h.trans hx⟩
@[gcongr] alias ⟨_, _root_.GCongr.Ici_subset_Ici_of_le⟩ := Ici_subset_Ici
@[simp]
theorem Ici_ssubset_Ici : Ici a ⊂ Ici b ↔ b < a where
mp h := by
obtain ⟨ab, c, cb, ac⟩ := ssubset_iff_exists.mp h
exact lt_of_le_not_le (Ici_subset_Ici.mp ab) (fun h' ↦ ac (h'.trans cb))
mpr h := (ssubset_iff_of_subset (Ici_subset_Ici.mpr h.le)).mpr
⟨b, right_mem_Iic, fun h' => h.not_le h'⟩
@[gcongr] alias ⟨_, _root_.GCongr.Ici_ssubset_Ici_of_le⟩ := Ici_ssubset_Ici
@[simp]
theorem Iic_subset_Iic : Iic a ⊆ Iic b ↔ a ≤ b :=
@Ici_subset_Ici αᵒᵈ _ _ _
@[gcongr] alias ⟨_, _root_.GCongr.Iic_subset_Iic_of_le⟩ := Iic_subset_Iic
@[simp]
theorem Iic_ssubset_Iic : Iic a ⊂ Iic b ↔ a < b :=
@Ici_ssubset_Ici αᵒᵈ _ _ _
@[gcongr] alias ⟨_, _root_.GCongr.Iic_ssubset_Iic_of_le⟩ := Iic_ssubset_Iic
@[simp]
theorem Ici_subset_Ioi : Ici a ⊆ Ioi b ↔ b < a :=
⟨fun h => h left_mem_Ici, fun h _ hx => h.trans_le hx⟩
@[simp]
theorem Iic_subset_Iio : Iic a ⊆ Iio b ↔ a < b :=
⟨fun h => h right_mem_Iic, fun h _ hx => lt_of_le_of_lt hx h⟩
@[gcongr]
theorem Ioo_subset_Ioo (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) : Ioo a₁ b₁ ⊆ Ioo a₂ b₂ := fun _ ⟨hx₁, hx₂⟩ =>
⟨h₁.trans_lt hx₁, hx₂.trans_le h₂⟩
@[gcongr]
theorem Ioo_subset_Ioo_left (h : a₁ ≤ a₂) : Ioo a₂ b ⊆ Ioo a₁ b :=
Ioo_subset_Ioo h le_rfl
@[gcongr]
theorem Ioo_subset_Ioo_right (h : b₁ ≤ b₂) : Ioo a b₁ ⊆ Ioo a b₂ :=
Ioo_subset_Ioo le_rfl h
@[gcongr]
theorem Ico_subset_Ico (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) : Ico a₁ b₁ ⊆ Ico a₂ b₂ := fun _ ⟨hx₁, hx₂⟩ =>
⟨h₁.trans hx₁, hx₂.trans_le h₂⟩
@[gcongr]
theorem Ico_subset_Ico_left (h : a₁ ≤ a₂) : Ico a₂ b ⊆ Ico a₁ b :=
Ico_subset_Ico h le_rfl
@[gcongr]
theorem Ico_subset_Ico_right (h : b₁ ≤ b₂) : Ico a b₁ ⊆ Ico a b₂ :=
Ico_subset_Ico le_rfl h
@[gcongr]
theorem Icc_subset_Icc (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) : Icc a₁ b₁ ⊆ Icc a₂ b₂ := fun _ ⟨hx₁, hx₂⟩ =>
⟨h₁.trans hx₁, le_trans hx₂ h₂⟩
@[gcongr]
theorem Icc_subset_Icc_left (h : a₁ ≤ a₂) : Icc a₂ b ⊆ Icc a₁ b :=
Icc_subset_Icc h le_rfl
@[gcongr]
theorem Icc_subset_Icc_right (h : b₁ ≤ b₂) : Icc a b₁ ⊆ Icc a b₂ :=
Icc_subset_Icc le_rfl h
theorem Icc_subset_Ioo (ha : a₂ < a₁) (hb : b₁ < b₂) : Icc a₁ b₁ ⊆ Ioo a₂ b₂ := fun _ hx =>
⟨ha.trans_le hx.1, hx.2.trans_lt hb⟩
theorem Icc_subset_Ici_self : Icc a b ⊆ Ici a := fun _ => And.left
theorem Icc_subset_Iic_self : Icc a b ⊆ Iic b := fun _ => And.right
theorem Ioc_subset_Iic_self : Ioc a b ⊆ Iic b := fun _ => And.right
@[gcongr]
theorem Ioc_subset_Ioc (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) : Ioc a₁ b₁ ⊆ Ioc a₂ b₂ := fun _ ⟨hx₁, hx₂⟩ =>
⟨h₁.trans_lt hx₁, hx₂.trans h₂⟩
@[gcongr]
theorem Ioc_subset_Ioc_left (h : a₁ ≤ a₂) : Ioc a₂ b ⊆ Ioc a₁ b :=
Ioc_subset_Ioc h le_rfl
@[gcongr]
theorem Ioc_subset_Ioc_right (h : b₁ ≤ b₂) : Ioc a b₁ ⊆ Ioc a b₂ :=
Ioc_subset_Ioc le_rfl h
theorem Ico_subset_Ioo_left (h₁ : a₁ < a₂) : Ico a₂ b ⊆ Ioo a₁ b := fun _ =>
And.imp_left h₁.trans_le
theorem Ioc_subset_Ioo_right (h : b₁ < b₂) : Ioc a b₁ ⊆ Ioo a b₂ := fun _ =>
And.imp_right fun h' => h'.trans_lt h
theorem Icc_subset_Ico_right (h₁ : b₁ < b₂) : Icc a b₁ ⊆ Ico a b₂ := fun _ =>
And.imp_right fun h₂ => h₂.trans_lt h₁
theorem Ioo_subset_Ico_self : Ioo a b ⊆ Ico a b := fun _ => And.imp_left le_of_lt
theorem Ioo_subset_Ioc_self : Ioo a b ⊆ Ioc a b := fun _ => And.imp_right le_of_lt
theorem Ico_subset_Icc_self : Ico a b ⊆ Icc a b := fun _ => And.imp_right le_of_lt
theorem Ioc_subset_Icc_self : Ioc a b ⊆ Icc a b := fun _ => And.imp_left le_of_lt
theorem Ioo_subset_Icc_self : Ioo a b ⊆ Icc a b :=
Subset.trans Ioo_subset_Ico_self Ico_subset_Icc_self
theorem Ico_subset_Iio_self : Ico a b ⊆ Iio b := fun _ => And.right
theorem Ioo_subset_Iio_self : Ioo a b ⊆ Iio b := fun _ => And.right
theorem Ioc_subset_Ioi_self : Ioc a b ⊆ Ioi a := fun _ => And.left
theorem Ioo_subset_Ioi_self : Ioo a b ⊆ Ioi a := fun _ => And.left
theorem Ioi_subset_Ici_self : Ioi a ⊆ Ici a := fun _ hx => le_of_lt hx
theorem Iio_subset_Iic_self : Iio a ⊆ Iic a := fun _ hx => le_of_lt hx
theorem Ico_subset_Ici_self : Ico a b ⊆ Ici a := fun _ => And.left
theorem Ioi_ssubset_Ici_self : Ioi a ⊂ Ici a :=
⟨Ioi_subset_Ici_self, fun h => lt_irrefl a (h le_rfl)⟩
theorem Iio_ssubset_Iic_self : Iio a ⊂ Iic a :=
@Ioi_ssubset_Ici_self αᵒᵈ _ _
theorem Icc_subset_Icc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Icc a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ :=
⟨fun h => ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩, fun ⟨h, h'⟩ _ ⟨hx, hx'⟩ =>
⟨h.trans hx, hx'.trans h'⟩⟩
theorem Icc_subset_Ioo_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioo a₂ b₂ ↔ a₂ < a₁ ∧ b₁ < b₂ :=
⟨fun h => ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩, fun ⟨h, h'⟩ _ ⟨hx, hx'⟩ =>
⟨h.trans_le hx, hx'.trans_lt h'⟩⟩
theorem Icc_subset_Ico_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ico a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ < b₂ :=
⟨fun h => ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩, fun ⟨h, h'⟩ _ ⟨hx, hx'⟩ =>
⟨h.trans hx, hx'.trans_lt h'⟩⟩
theorem Icc_subset_Ioc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioc a₂ b₂ ↔ a₂ < a₁ ∧ b₁ ≤ b₂ :=
⟨fun h => ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩, fun ⟨h, h'⟩ _ ⟨hx, hx'⟩ =>
⟨h.trans_le hx, hx'.trans h'⟩⟩
theorem Icc_subset_Iio_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Iio b₂ ↔ b₁ < b₂ :=
⟨fun h => h ⟨h₁, le_rfl⟩, fun h _ ⟨_, hx'⟩ => hx'.trans_lt h⟩
theorem Icc_subset_Ioi_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioi a₂ ↔ a₂ < a₁ :=
⟨fun h => h ⟨le_rfl, h₁⟩, fun h _ ⟨hx, _⟩ => h.trans_le hx⟩
theorem Icc_subset_Iic_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Iic b₂ ↔ b₁ ≤ b₂ :=
⟨fun h => h ⟨h₁, le_rfl⟩, fun h _ ⟨_, hx'⟩ => hx'.trans h⟩
theorem Icc_subset_Ici_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ici a₂ ↔ a₂ ≤ a₁ :=
⟨fun h => h ⟨le_rfl, h₁⟩, fun h _ ⟨hx, _⟩ => h.trans hx⟩
theorem Icc_ssubset_Icc_left (hI : a₂ ≤ b₂) (ha : a₂ < a₁) (hb : b₁ ≤ b₂) : Icc a₁ b₁ ⊂ Icc a₂ b₂ :=
(ssubset_iff_of_subset (Icc_subset_Icc (le_of_lt ha) hb)).mpr
⟨a₂, left_mem_Icc.mpr hI, not_and.mpr fun f _ => lt_irrefl a₂ (ha.trans_le f)⟩
theorem Icc_ssubset_Icc_right (hI : a₂ ≤ b₂) (ha : a₂ ≤ a₁) (hb : b₁ < b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ :=
(ssubset_iff_of_subset (Icc_subset_Icc ha (le_of_lt hb))).mpr
⟨b₂, right_mem_Icc.mpr hI, fun f => lt_irrefl b₁ (hb.trans_le f.2)⟩
/-- If `a ≤ b`, then `(b, +∞) ⊆ (a, +∞)`. In preorders, this is just an implication. If you need
the equivalence in linear orders, use `Ioi_subset_Ioi_iff`. -/
@[gcongr]
theorem Ioi_subset_Ioi (h : a ≤ b) : Ioi b ⊆ Ioi a := fun _ hx => h.trans_lt hx
/-- If `a < b`, then `(b, +∞) ⊂ (a, +∞)`. In preorders, this is just an implication. If you need
the equivalence in linear orders, use `Ioi_ssubset_Ioi_iff`. -/
@[gcongr]
theorem Ioi_ssubset_Ioi (h : a < b) : Ioi b ⊂ Ioi a :=
(ssubset_iff_of_subset (Ioi_subset_Ioi h.le)).mpr ⟨b, h, lt_irrefl b⟩
/-- If `a ≤ b`, then `(b, +∞) ⊆ [a, +∞)`. In preorders, this is just an implication. If you need
the equivalence in dense linear orders, use `Ioi_subset_Ici_iff`. -/
theorem Ioi_subset_Ici (h : a ≤ b) : Ioi b ⊆ Ici a :=
Subset.trans (Ioi_subset_Ioi h) Ioi_subset_Ici_self
/-- If `a ≤ b`, then `(-∞, a) ⊆ (-∞, b)`. In preorders, this is just an implication. If you need
the equivalence in linear orders, use `Iio_subset_Iio_iff`. -/
@[gcongr]
theorem Iio_subset_Iio (h : a ≤ b) : Iio a ⊆ Iio b := fun _ hx => lt_of_lt_of_le hx h
/-- If `a < b`, then `(-∞, a) ⊂ (-∞, b)`. In preorders, this is just an implication. If you need
the equivalence in linear orders, use `Iio_ssubset_Iio_iff`. -/
@[gcongr]
theorem Iio_ssubset_Iio (h : a < b) : Iio a ⊂ Iio b :=
(ssubset_iff_of_subset (Iio_subset_Iio h.le)).mpr ⟨a, h, lt_irrefl a⟩
/-- If `a ≤ b`, then `(-∞, a) ⊆ (-∞, b]`. In preorders, this is just an implication. If you need
the equivalence in dense linear orders, use `Iio_subset_Iic_iff`. -/
theorem Iio_subset_Iic (h : a ≤ b) : Iio a ⊆ Iic b :=
Subset.trans (Iio_subset_Iio h) Iio_subset_Iic_self
theorem Ici_inter_Iic : Ici a ∩ Iic b = Icc a b :=
rfl
theorem Ici_inter_Iio : Ici a ∩ Iio b = Ico a b :=
rfl
theorem Ioi_inter_Iic : Ioi a ∩ Iic b = Ioc a b :=
rfl
theorem Ioi_inter_Iio : Ioi a ∩ Iio b = Ioo a b :=
rfl
theorem Iic_inter_Ici : Iic a ∩ Ici b = Icc b a :=
inter_comm _ _
theorem Iio_inter_Ici : Iio a ∩ Ici b = Ico b a :=
inter_comm _ _
theorem Iic_inter_Ioi : Iic a ∩ Ioi b = Ioc b a :=
inter_comm _ _
theorem Iio_inter_Ioi : Iio a ∩ Ioi b = Ioo b a :=
inter_comm _ _
theorem mem_Icc_of_Ioo (h : x ∈ Ioo a b) : x ∈ Icc a b :=
Ioo_subset_Icc_self h
theorem mem_Ico_of_Ioo (h : x ∈ Ioo a b) : x ∈ Ico a b :=
Ioo_subset_Ico_self h
theorem mem_Ioc_of_Ioo (h : x ∈ Ioo a b) : x ∈ Ioc a b :=
Ioo_subset_Ioc_self h
theorem mem_Icc_of_Ico (h : x ∈ Ico a b) : x ∈ Icc a b :=
Ico_subset_Icc_self h
theorem mem_Icc_of_Ioc (h : x ∈ Ioc a b) : x ∈ Icc a b :=
Ioc_subset_Icc_self h
theorem mem_Ici_of_Ioi (h : x ∈ Ioi a) : x ∈ Ici a :=
Ioi_subset_Ici_self h
theorem mem_Iic_of_Iio (h : x ∈ Iio a) : x ∈ Iic a :=
Iio_subset_Iic_self h
theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by
rw [← not_nonempty_iff_eq_empty, not_iff_not, nonempty_Icc]
theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by
rw [← not_nonempty_iff_eq_empty, not_iff_not, nonempty_Ico]
theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by
rw [← not_nonempty_iff_eq_empty, not_iff_not, nonempty_Ioc]
theorem Ioo_eq_empty_iff [DenselyOrdered α] : Ioo a b = ∅ ↔ ¬a < b := by
rw [← not_nonempty_iff_eq_empty, not_iff_not, nonempty_Ioo]
theorem _root_.IsTop.Iic_eq (h : IsTop a) : Iic a = univ :=
eq_univ_of_forall h
theorem _root_.IsBot.Ici_eq (h : IsBot a) : Ici a = univ :=
eq_univ_of_forall h
@[simp] theorem Ioi_eq_empty_iff : Ioi a = ∅ ↔ IsMax a := by
simp only [isMax_iff_forall_not_lt, eq_empty_iff_forall_not_mem, mem_Ioi]
@[simp] theorem Iio_eq_empty_iff : Iio a = ∅ ↔ IsMin a := Ioi_eq_empty_iff (α := αᵒᵈ)
@[simp] alias ⟨_, _root_.IsMax.Ioi_eq⟩ := Ioi_eq_empty_iff
@[simp] alias ⟨_, _root_.IsMin.Iio_eq⟩ := Iio_eq_empty_iff
@[simp] lemma Iio_nonempty : (Iio a).Nonempty ↔ ¬ IsMin a := by simp [nonempty_iff_ne_empty]
@[simp] lemma Ioi_nonempty : (Ioi a).Nonempty ↔ ¬ IsMax a := by simp [nonempty_iff_ne_empty]
theorem Iic_inter_Ioc_of_le (h : a ≤ c) : Iic a ∩ Ioc b c = Ioc b a :=
ext fun _ => ⟨fun H => ⟨H.2.1, H.1⟩, fun H => ⟨H.2, H.1, H.2.trans h⟩⟩
theorem not_mem_Icc_of_lt (ha : c < a) : c ∉ Icc a b := fun h => ha.not_le h.1
theorem not_mem_Icc_of_gt (hb : b < c) : c ∉ Icc a b := fun h => hb.not_le h.2
theorem not_mem_Ico_of_lt (ha : c < a) : c ∉ Ico a b := fun h => ha.not_le h.1
theorem not_mem_Ioc_of_gt (hb : b < c) : c ∉ Ioc a b := fun h => hb.not_le h.2
theorem not_mem_Ioi_self : a ∉ Ioi a := lt_irrefl _
theorem not_mem_Iio_self : b ∉ Iio b := lt_irrefl _
theorem not_mem_Ioc_of_le (ha : c ≤ a) : c ∉ Ioc a b := fun h => lt_irrefl _ <| h.1.trans_le ha
theorem not_mem_Ico_of_ge (hb : b ≤ c) : c ∉ Ico a b := fun h => lt_irrefl _ <| h.2.trans_le hb
theorem not_mem_Ioo_of_le (ha : c ≤ a) : c ∉ Ioo a b := fun h => lt_irrefl _ <| h.1.trans_le ha
theorem not_mem_Ioo_of_ge (hb : b ≤ c) : c ∉ Ioo a b := fun h => lt_irrefl _ <| h.2.trans_le hb
section matched_intervals
@[simp] theorem Icc_eq_Ioc_same_iff : Icc a b = Ioc a b ↔ ¬a ≤ b where
mp h := by simpa using Set.ext_iff.mp h a
mpr h := by rw [Icc_eq_empty h, Ioc_eq_empty (mt le_of_lt h)]
@[simp] theorem Icc_eq_Ico_same_iff : Icc a b = Ico a b ↔ ¬a ≤ b where
mp h := by simpa using Set.ext_iff.mp h b
mpr h := by rw [Icc_eq_empty h, Ico_eq_empty (mt le_of_lt h)]
@[simp] theorem Icc_eq_Ioo_same_iff : Icc a b = Ioo a b ↔ ¬a ≤ b where
mp h := by simpa using Set.ext_iff.mp h b
mpr h := by rw [Icc_eq_empty h, Ioo_eq_empty (mt le_of_lt h)]
@[simp] theorem Ioc_eq_Ico_same_iff : Ioc a b = Ico a b ↔ ¬a < b where
mp h := by simpa using Set.ext_iff.mp h a
mpr h := by rw [Ioc_eq_empty h, Ico_eq_empty h]
@[simp] theorem Ioo_eq_Ioc_same_iff : Ioo a b = Ioc a b ↔ ¬a < b where
mp h := by simpa using Set.ext_iff.mp h b
mpr h := by rw [Ioo_eq_empty h, Ioc_eq_empty h]
@[simp] theorem Ioo_eq_Ico_same_iff : Ioo a b = Ico a b ↔ ¬a < b where
mp h := by simpa using Set.ext_iff.mp h a
mpr h := by rw [Ioo_eq_empty h, Ico_eq_empty h]
-- Mirrored versions of the above for `simp`.
@[simp] theorem Ioc_eq_Icc_same_iff : Ioc a b = Icc a b ↔ ¬a ≤ b :=
eq_comm.trans Icc_eq_Ioc_same_iff
@[simp] theorem Ico_eq_Icc_same_iff : Ico a b = Icc a b ↔ ¬a ≤ b :=
eq_comm.trans Icc_eq_Ico_same_iff
@[simp] theorem Ioo_eq_Icc_same_iff : Ioo a b = Icc a b ↔ ¬a ≤ b :=
eq_comm.trans Icc_eq_Ioo_same_iff
@[simp] theorem Ico_eq_Ioc_same_iff : Ico a b = Ioc a b ↔ ¬a < b :=
eq_comm.trans Ioc_eq_Ico_same_iff
@[simp] theorem Ioc_eq_Ioo_same_iff : Ioc a b = Ioo a b ↔ ¬a < b :=
eq_comm.trans Ioo_eq_Ioc_same_iff
@[simp] theorem Ico_eq_Ioo_same_iff : Ico a b = Ioo a b ↔ ¬a < b :=
eq_comm.trans Ioo_eq_Ico_same_iff
end matched_intervals
end Preorder
section PartialOrder
variable [PartialOrder α] {a b c : α}
@[simp]
theorem Icc_self (a : α) : Icc a a = {a} :=
Set.ext <| by simp [Icc, le_antisymm_iff, and_comm]
instance instIccUnique : Unique (Set.Icc a a) where
default := ⟨a, by simp⟩
uniq y := Subtype.ext <| by simpa using y.2
@[simp]
theorem Icc_eq_singleton_iff : Icc a b = {c} ↔ a = c ∧ b = c := by
refine ⟨fun h => ?_, ?_⟩
· have hab : a ≤ b := nonempty_Icc.1 (h.symm.subst <| singleton_nonempty c)
exact
⟨eq_of_mem_singleton <| h ▸ left_mem_Icc.2 hab,
eq_of_mem_singleton <| h ▸ right_mem_Icc.2 hab⟩
· rintro ⟨rfl, rfl⟩
exact Icc_self _
lemma subsingleton_Icc_of_ge (hba : b ≤ a) : Set.Subsingleton (Icc a b) :=
fun _x ⟨hax, hxb⟩ _y ⟨hay, hyb⟩ ↦ le_antisymm
(le_implies_le_of_le_of_le hxb hay hba) (le_implies_le_of_le_of_le hyb hax hba)
@[simp] lemma subsingleton_Icc_iff {α : Type*} [LinearOrder α] {a b : α} :
Set.Subsingleton (Icc a b) ↔ b ≤ a := by
refine ⟨fun h ↦ ?_, subsingleton_Icc_of_ge⟩
contrapose! h
simp only [gt_iff_lt, not_subsingleton_iff]
exact ⟨a, ⟨le_refl _, h.le⟩, b, ⟨h.le, le_refl _⟩, h.ne⟩
@[simp]
theorem Icc_diff_left : Icc a b \ {a} = Ioc a b :=
ext fun x => by simp [lt_iff_le_and_ne, eq_comm, and_right_comm]
@[simp]
theorem Icc_diff_right : Icc a b \ {b} = Ico a b :=
ext fun x => by simp [lt_iff_le_and_ne, and_assoc]
@[simp]
theorem Ico_diff_left : Ico a b \ {a} = Ioo a b :=
ext fun x => by simp [and_right_comm, ← lt_iff_le_and_ne, eq_comm]
@[simp]
theorem Ioc_diff_right : Ioc a b \ {b} = Ioo a b :=
ext fun x => by simp [and_assoc, ← lt_iff_le_and_ne]
@[simp]
theorem Icc_diff_both : Icc a b \ {a, b} = Ioo a b := by
rw [insert_eq, ← diff_diff, Icc_diff_left, Ioc_diff_right]
@[simp]
theorem Ici_diff_left : Ici a \ {a} = Ioi a :=
ext fun x => by simp [lt_iff_le_and_ne, eq_comm]
@[simp]
theorem Iic_diff_right : Iic a \ {a} = Iio a :=
ext fun x => by simp [lt_iff_le_and_ne]
@[simp]
theorem Ico_diff_Ioo_same (h : a < b) : Ico a b \ Ioo a b = {a} := by
rw [← Ico_diff_left, diff_diff_cancel_left (singleton_subset_iff.2 <| left_mem_Ico.2 h)]
@[simp]
theorem Ioc_diff_Ioo_same (h : a < b) : Ioc a b \ Ioo a b = {b} := by
rw [← Ioc_diff_right, diff_diff_cancel_left (singleton_subset_iff.2 <| right_mem_Ioc.2 h)]
@[simp]
theorem Icc_diff_Ico_same (h : a ≤ b) : Icc a b \ Ico a b = {b} := by
rw [← Icc_diff_right, diff_diff_cancel_left (singleton_subset_iff.2 <| right_mem_Icc.2 h)]
@[simp]
theorem Icc_diff_Ioc_same (h : a ≤ b) : Icc a b \ Ioc a b = {a} := by
rw [← Icc_diff_left, diff_diff_cancel_left (singleton_subset_iff.2 <| left_mem_Icc.2 h)]
@[simp]
theorem Icc_diff_Ioo_same (h : a ≤ b) : Icc a b \ Ioo a b = {a, b} := by
rw [← Icc_diff_both, diff_diff_cancel_left]
simp [insert_subset_iff, h]
@[simp]
theorem Ici_diff_Ioi_same : Ici a \ Ioi a = {a} := by
rw [← Ici_diff_left, diff_diff_cancel_left (singleton_subset_iff.2 left_mem_Ici)]
@[simp]
theorem Iic_diff_Iio_same : Iic a \ Iio a = {a} := by
rw [← Iic_diff_right, diff_diff_cancel_left (singleton_subset_iff.2 right_mem_Iic)]
theorem Ioi_union_left : Ioi a ∪ {a} = Ici a :=
ext fun x => by simp [eq_comm, le_iff_eq_or_lt]
theorem Iio_union_right : Iio a ∪ {a} = Iic a :=
ext fun _ => le_iff_lt_or_eq.symm
theorem Ioo_union_left (hab : a < b) : Ioo a b ∪ {a} = Ico a b := by
rw [← Ico_diff_left, diff_union_self,
union_eq_self_of_subset_right (singleton_subset_iff.2 <| left_mem_Ico.2 hab)]
theorem Ioo_union_right (hab : a < b) : Ioo a b ∪ {b} = Ioc a b := by
simpa only [Ioo_toDual, Ico_toDual] using Ioo_union_left hab.dual
theorem Ioo_union_both (h : a ≤ b) : Ioo a b ∪ {a, b} = Icc a b := by
have : (Icc a b \ {a, b}) ∪ {a, b} = Icc a b := diff_union_of_subset fun
| x, .inl rfl => left_mem_Icc.mpr h
| x, .inr rfl => right_mem_Icc.mpr h
rw [← this, Icc_diff_both]
theorem Ioc_union_left (hab : a ≤ b) : Ioc a b ∪ {a} = Icc a b := by
rw [← Icc_diff_left, diff_union_self,
union_eq_self_of_subset_right (singleton_subset_iff.2 <| left_mem_Icc.2 hab)]
theorem Ico_union_right (hab : a ≤ b) : Ico a b ∪ {b} = Icc a b := by
simpa only [Ioc_toDual, Icc_toDual] using Ioc_union_left hab.dual
@[simp]
theorem Ico_insert_right (h : a ≤ b) : insert b (Ico a b) = Icc a b := by
rw [insert_eq, union_comm, Ico_union_right h]
@[simp]
theorem Ioc_insert_left (h : a ≤ b) : insert a (Ioc a b) = Icc a b := by
rw [insert_eq, union_comm, Ioc_union_left h]
@[simp]
theorem Ioo_insert_left (h : a < b) : insert a (Ioo a b) = Ico a b := by
rw [insert_eq, union_comm, Ioo_union_left h]
@[simp]
theorem Ioo_insert_right (h : a < b) : insert b (Ioo a b) = Ioc a b := by
rw [insert_eq, union_comm, Ioo_union_right h]
@[simp]
theorem Iio_insert : insert a (Iio a) = Iic a :=
ext fun _ => le_iff_eq_or_lt.symm
@[simp]
theorem Ioi_insert : insert a (Ioi a) = Ici a :=
ext fun _ => (or_congr_left eq_comm).trans le_iff_eq_or_lt.symm
theorem mem_Ici_Ioi_of_subset_of_subset {s : Set α} (ho : Ioi a ⊆ s) (hc : s ⊆ Ici a) :
s ∈ ({Ici a, Ioi a} : Set (Set α)) :=
by_cases
(fun h : a ∈ s =>
Or.inl <| Subset.antisymm hc <| by rw [← Ioi_union_left, union_subset_iff]; simp [*])
fun h =>
Or.inr <| Subset.antisymm (fun _ hx => lt_of_le_of_ne (hc hx) fun heq => h <| heq.symm ▸ hx) ho
theorem mem_Iic_Iio_of_subset_of_subset {s : Set α} (ho : Iio a ⊆ s) (hc : s ⊆ Iic a) :
s ∈ ({Iic a, Iio a} : Set (Set α)) :=
@mem_Ici_Ioi_of_subset_of_subset αᵒᵈ _ a s ho hc
theorem mem_Icc_Ico_Ioc_Ioo_of_subset_of_subset {s : Set α} (ho : Ioo a b ⊆ s) (hc : s ⊆ Icc a b) :
s ∈ ({Icc a b, Ico a b, Ioc a b, Ioo a b} : Set (Set α)) := by
classical
by_cases ha : a ∈ s <;> by_cases hb : b ∈ s
· refine Or.inl (Subset.antisymm hc ?_)
rwa [← Ico_diff_left, diff_singleton_subset_iff, insert_eq_of_mem ha, ← Icc_diff_right,
diff_singleton_subset_iff, insert_eq_of_mem hb] at ho
· refine Or.inr <| Or.inl <| Subset.antisymm ?_ ?_
· rw [← Icc_diff_right]
exact subset_diff_singleton hc hb
· rwa [← Ico_diff_left, diff_singleton_subset_iff, insert_eq_of_mem ha] at ho
· refine Or.inr <| Or.inr <| Or.inl <| Subset.antisymm ?_ ?_
· rw [← Icc_diff_left]
exact subset_diff_singleton hc ha
· rwa [← Ioc_diff_right, diff_singleton_subset_iff, insert_eq_of_mem hb] at ho
· refine Or.inr <| Or.inr <| Or.inr <| Subset.antisymm ?_ ho
rw [← Ico_diff_left, ← Icc_diff_right]
apply_rules [subset_diff_singleton]
theorem eq_left_or_mem_Ioo_of_mem_Ico {x : α} (hmem : x ∈ Ico a b) : x = a ∨ x ∈ Ioo a b :=
hmem.1.eq_or_gt.imp_right fun h => ⟨h, hmem.2⟩
theorem eq_right_or_mem_Ioo_of_mem_Ioc {x : α} (hmem : x ∈ Ioc a b) : x = b ∨ x ∈ Ioo a b :=
hmem.2.eq_or_lt.imp_right <| And.intro hmem.1
theorem eq_endpoints_or_mem_Ioo_of_mem_Icc {x : α} (hmem : x ∈ Icc a b) :
x = a ∨ x = b ∨ x ∈ Ioo a b :=
hmem.1.eq_or_gt.imp_right fun h => eq_right_or_mem_Ioo_of_mem_Ioc ⟨h, hmem.2⟩
theorem _root_.IsMax.Ici_eq (h : IsMax a) : Ici a = {a} :=
eq_singleton_iff_unique_mem.2 ⟨left_mem_Ici, fun _ => h.eq_of_ge⟩
theorem _root_.IsMin.Iic_eq (h : IsMin a) : Iic a = {a} :=
h.toDual.Ici_eq
theorem Ici_injective : Injective (Ici : α → Set α) := fun _ _ =>
eq_of_forall_ge_iff ∘ Set.ext_iff.1
theorem Iic_injective : Injective (Iic : α → Set α) := fun _ _ =>
eq_of_forall_le_iff ∘ Set.ext_iff.1
theorem Ici_inj : Ici a = Ici b ↔ a = b :=
Ici_injective.eq_iff
theorem Iic_inj : Iic a = Iic b ↔ a = b :=
Iic_injective.eq_iff
@[simp]
theorem Icc_inter_Icc_eq_singleton (hab : a ≤ b) (hbc : b ≤ c) : Icc a b ∩ Icc b c = {b} := by
rw [← Ici_inter_Iic, ← Iic_inter_Ici, inter_inter_inter_comm, Iic_inter_Ici]
simp [hab, hbc]
lemma Icc_eq_Icc_iff {d : α} (h : a ≤ b) :
Icc a b = Icc c d ↔ a = c ∧ b = d := by
refine ⟨fun heq ↦ ?_, by rintro ⟨rfl, rfl⟩; rfl⟩
have h' : c ≤ d := by
by_contra contra; rw [Icc_eq_empty_iff.mpr contra, Icc_eq_empty_iff] at heq; contradiction
simp only [Set.ext_iff, mem_Icc] at heq
obtain ⟨-, h₁⟩ := (heq b).mp ⟨h, le_refl _⟩
obtain ⟨h₂, -⟩ := (heq a).mp ⟨le_refl _, h⟩
obtain ⟨h₃, -⟩ := (heq c).mpr ⟨le_refl _, h'⟩
obtain ⟨-, h₄⟩ := (heq d).mpr ⟨h', le_refl _⟩
exact ⟨le_antisymm h₃ h₂, le_antisymm h₁ h₄⟩
end PartialOrder
section OrderTop
@[simp]
theorem Ici_top [PartialOrder α] [OrderTop α] : Ici (⊤ : α) = {⊤} :=
isMax_top.Ici_eq
variable [Preorder α] [OrderTop α] {a : α}
theorem Ioi_top : Ioi (⊤ : α) = ∅ :=
isMax_top.Ioi_eq
@[simp]
theorem Iic_top : Iic (⊤ : α) = univ :=
isTop_top.Iic_eq
@[simp]
theorem Icc_top : Icc a ⊤ = Ici a := by simp [← Ici_inter_Iic]
@[simp]
theorem Ioc_top : Ioc a ⊤ = Ioi a := by simp [← Ioi_inter_Iic]
end OrderTop
section OrderBot
@[simp]
theorem Iic_bot [PartialOrder α] [OrderBot α] : Iic (⊥ : α) = {⊥} :=
isMin_bot.Iic_eq
variable [Preorder α] [OrderBot α] {a : α}
theorem Iio_bot : Iio (⊥ : α) = ∅ :=
isMin_bot.Iio_eq
@[simp]
theorem Ici_bot : Ici (⊥ : α) = univ :=
isBot_bot.Ici_eq
@[simp]
theorem Icc_bot : Icc ⊥ a = Iic a := by simp [← Ici_inter_Iic]
@[simp]
theorem Ico_bot : Ico ⊥ a = Iio a := by simp [← Ici_inter_Iio]
end OrderBot
theorem Icc_bot_top [Preorder α] [BoundedOrder α] : Icc (⊥ : α) ⊤ = univ := by simp
section Lattice
section Inf
variable [SemilatticeInf α]
@[simp]
theorem Iic_inter_Iic {a b : α} : Iic a ∩ Iic b = Iic (a ⊓ b) := by
ext x
simp [Iic]
@[simp]
theorem Ioc_inter_Iic (a b c : α) : Ioc a b ∩ Iic c = Ioc a (b ⊓ c) := by
rw [← Ioi_inter_Iic, ← Ioi_inter_Iic, inter_assoc, Iic_inter_Iic]
end Inf
section Sup
variable [SemilatticeSup α]
@[simp]
theorem Ici_inter_Ici {a b : α} : Ici a ∩ Ici b = Ici (a ⊔ b) := by
ext x
simp [Ici]
@[simp]
theorem Ico_inter_Ici (a b c : α) : Ico a b ∩ Ici c = Ico (a ⊔ c) b := by
rw [← Ici_inter_Iio, ← Ici_inter_Iio, ← Ici_inter_Ici, inter_right_comm]
end Sup
section Both
variable [Lattice α] {a b c a₁ a₂ b₁ b₂ : α}
theorem Icc_inter_Icc : Icc a₁ b₁ ∩ Icc a₂ b₂ = Icc (a₁ ⊔ a₂) (b₁ ⊓ b₂) := by
simp only [Ici_inter_Iic.symm, Ici_inter_Ici.symm, Iic_inter_Iic.symm]; ac_rfl
end Both
end Lattice
/-! ### Closed intervals in `α × β` -/
section Prod
variable {β : Type*} [Preorder α] [Preorder β]
@[simp]
theorem Iic_prod_Iic (a : α) (b : β) : Iic a ×ˢ Iic b = Iic (a, b) :=
rfl
@[simp]
theorem Ici_prod_Ici (a : α) (b : β) : Ici a ×ˢ Ici b = Ici (a, b) :=
rfl
theorem Ici_prod_eq (a : α × β) : Ici a = Ici a.1 ×ˢ Ici a.2 :=
rfl
theorem Iic_prod_eq (a : α × β) : Iic a = Iic a.1 ×ˢ Iic a.2 :=
rfl
@[simp]
theorem Icc_prod_Icc (a₁ a₂ : α) (b₁ b₂ : β) : Icc a₁ a₂ ×ˢ Icc b₁ b₂ = Icc (a₁, b₁) (a₂, b₂) := by
ext ⟨x, y⟩
simp [and_assoc, and_comm, and_left_comm]
theorem Icc_prod_eq (a b : α × β) : Icc a b = Icc a.1 b.1 ×ˢ Icc a.2 b.2 := by simp
end Prod
end Set
/-! ### Lemmas about intervals in dense orders -/
section Dense
variable (α) [Preorder α] [DenselyOrdered α] {x y : α}
instance : NoMinOrder (Set.Ioo x y) :=
⟨fun ⟨a, ha₁, ha₂⟩ => by
rcases exists_between ha₁ with ⟨b, hb₁, hb₂⟩
exact ⟨⟨b, hb₁, hb₂.trans ha₂⟩, hb₂⟩⟩
instance : NoMinOrder (Set.Ioc x y) :=
⟨fun ⟨a, ha₁, ha₂⟩ => by
rcases exists_between ha₁ with ⟨b, hb₁, hb₂⟩
exact ⟨⟨b, hb₁, hb₂.le.trans ha₂⟩, hb₂⟩⟩
instance : NoMinOrder (Set.Ioi x) :=
⟨fun ⟨a, ha⟩ => by
rcases exists_between ha with ⟨b, hb₁, hb₂⟩
exact ⟨⟨b, hb₁⟩, hb₂⟩⟩
instance : NoMaxOrder (Set.Ioo x y) :=
⟨fun ⟨a, ha₁, ha₂⟩ => by
rcases exists_between ha₂ with ⟨b, hb₁, hb₂⟩
exact ⟨⟨b, ha₁.trans hb₁, hb₂⟩, hb₁⟩⟩
instance : NoMaxOrder (Set.Ico x y) :=
⟨fun ⟨a, ha₁, ha₂⟩ => by
rcases exists_between ha₂ with ⟨b, hb₁, hb₂⟩
exact ⟨⟨b, ha₁.trans hb₁.le, hb₂⟩, hb₁⟩⟩
instance : NoMaxOrder (Set.Iio x) :=
⟨fun ⟨a, ha⟩ => by
rcases exists_between ha with ⟨b, hb₁, hb₂⟩
exact ⟨⟨b, hb₂⟩, hb₁⟩⟩
end Dense
/-! ### Intervals in `Prop` -/
namespace Set
@[simp] lemma Iic_False : Iic False = {False} := by aesop
@[simp] lemma Iic_True : Iic True = univ := by aesop
@[simp] lemma Ici_False : Ici False = univ := by aesop
@[simp] lemma Ici_True : Ici True = {True} := by aesop
lemma Iio_False : Iio False = ∅ := by aesop
@[simp] lemma Iio_True : Iio True = {False} := by aesop (add simp [Ioi, lt_iff_le_not_le])
@[simp] lemma Ioi_False : Ioi False = {True} := by aesop (add simp [Ioi, lt_iff_le_not_le])
lemma Ioi_True : Ioi True = ∅ := by aesop
end Set
| Mathlib/Order/Interval/Set/Basic.lean | 1,426 | 1,432 | |
/-
Copyright (c) 2021 Stuart Presnell. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Stuart Presnell
-/
import Mathlib.Data.Nat.PrimeFin
import Mathlib.Data.Nat.Factorization.Defs
import Mathlib.Data.Nat.GCD.BigOperators
import Mathlib.Order.Interval.Finset.Nat
import Mathlib.Tactic.IntervalCases
/-!
# Basic lemmas on prime factorizations
-/
open Finset List Finsupp
namespace Nat
variable {a b m n p : ℕ}
/-! ### Basic facts about factorization -/
/-! ## Lemmas characterising when `n.factorization p = 0` -/
theorem factorization_eq_zero_of_lt {n p : ℕ} (h : n < p) : n.factorization p = 0 :=
Finsupp.not_mem_support_iff.mp (mt le_of_mem_primeFactors (not_le_of_lt h))
@[simp]
theorem factorization_one_right (n : ℕ) : n.factorization 1 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_one
theorem dvd_of_factorization_pos {n p : ℕ} (hn : n.factorization p ≠ 0) : p ∣ n :=
dvd_of_mem_primeFactorsList <| mem_primeFactors_iff_mem_primeFactorsList.1 <| mem_support_iff.2 hn
theorem factorization_eq_zero_iff_remainder {p r : ℕ} (i : ℕ) (pp : p.Prime) (hr0 : r ≠ 0) :
¬p ∣ r ↔ (p * i + r).factorization p = 0 := by
refine ⟨factorization_eq_zero_of_remainder i, fun h => ?_⟩
rw [factorization_eq_zero_iff] at h
contrapose! h
refine ⟨pp, ?_, ?_⟩
· rwa [← Nat.dvd_add_iff_right (dvd_mul_right p i)]
· contrapose! hr0
exact (add_eq_zero.1 hr0).2
/-- The only numbers with empty prime factorization are `0` and `1` -/
theorem factorization_eq_zero_iff' (n : ℕ) : n.factorization = 0 ↔ n = 0 ∨ n = 1 := by
rw [factorization_eq_primeFactorsList_multiset n]
simp [factorization, AddEquiv.map_eq_zero_iff, Multiset.coe_eq_zero]
/-! ## Lemmas about factorizations of products and powers -/
/-- A product over `n.factorization` can be written as a product over `n.primeFactors`; -/
lemma prod_factorization_eq_prod_primeFactors {β : Type*} [CommMonoid β] (f : ℕ → ℕ → β) :
n.factorization.prod f = ∏ p ∈ n.primeFactors, f p (n.factorization p) := rfl
/-- A product over `n.primeFactors` can be written as a product over `n.factorization`; -/
lemma prod_primeFactors_prod_factorization {β : Type*} [CommMonoid β] (f : ℕ → β) :
∏ p ∈ n.primeFactors, f p = n.factorization.prod (fun p _ ↦ f p) := rfl
/-! ## Lemmas about factorizations of primes and prime powers -/
/-- The multiplicity of prime `p` in `p` is `1` -/
@[simp]
theorem Prime.factorization_self {p : ℕ} (hp : Prime p) : p.factorization p = 1 := by simp [hp]
/-- If the factorization of `n` contains just one number `p` then `n` is a power of `p` -/
theorem eq_pow_of_factorization_eq_single {n p k : ℕ} (hn : n ≠ 0)
(h : n.factorization = Finsupp.single p k) : n = p ^ k := by
rw [← Nat.factorization_prod_pow_eq_self hn, h]
simp
/-- The only prime factor of prime `p` is `p` itself. -/
theorem Prime.eq_of_factorization_pos {p q : ℕ} (hp : Prime p) (h : p.factorization q ≠ 0) :
p = q := by simpa [hp.factorization, single_apply] using h
/-! ### Equivalence between `ℕ+` and `ℕ →₀ ℕ` with support in the primes. -/
theorem eq_factorization_iff {n : ℕ} {f : ℕ →₀ ℕ} (hn : n ≠ 0) (hf : ∀ p ∈ f.support, Prime p) :
f = n.factorization ↔ f.prod (· ^ ·) = n :=
⟨fun h => by rw [h, factorization_prod_pow_eq_self hn], fun h => by
rw [← h, prod_pow_factorization_eq_self hf]⟩
theorem factorizationEquiv_inv_apply {f : ℕ →₀ ℕ} (hf : ∀ p ∈ f.support, Prime p) :
(factorizationEquiv.symm ⟨f, hf⟩).1 = f.prod (· ^ ·) :=
rfl
@[simp]
theorem ordProj_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ordProj[p] n = 1 := by
simp [factorization_eq_zero_of_non_prime n hp]
@[deprecated (since := "2024-10-24")] alias ord_proj_of_not_prime := ordProj_of_not_prime
@[simp]
theorem ordCompl_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ordCompl[p] n = n := by
simp [factorization_eq_zero_of_non_prime n hp]
@[deprecated (since := "2024-10-24")] alias ord_compl_of_not_prime := ordCompl_of_not_prime
theorem ordCompl_dvd (n p : ℕ) : ordCompl[p] n ∣ n :=
div_dvd_of_dvd (ordProj_dvd n p)
@[deprecated (since := "2024-10-24")] alias ord_compl_dvd := ordCompl_dvd
theorem ordProj_pos (n p : ℕ) : 0 < ordProj[p] n := by
if pp : p.Prime then simp [pow_pos pp.pos] else simp [pp]
@[deprecated (since := "2024-10-24")] alias ord_proj_pos := ordProj_pos
theorem ordProj_le {n : ℕ} (p : ℕ) (hn : n ≠ 0) : ordProj[p] n ≤ n :=
le_of_dvd hn.bot_lt (Nat.ordProj_dvd n p)
@[deprecated (since := "2024-10-24")] alias ord_proj_le := ordProj_le
theorem ordCompl_pos {n : ℕ} (p : ℕ) (hn : n ≠ 0) : 0 < ordCompl[p] n := by
if pp : p.Prime then
exact Nat.div_pos (ordProj_le p hn) (ordProj_pos n p)
else
simpa [Nat.factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
@[deprecated (since := "2024-10-24")] alias ord_compl_pos := ordCompl_pos
theorem ordCompl_le (n p : ℕ) : ordCompl[p] n ≤ n :=
Nat.div_le_self _ _
@[deprecated (since := "2024-10-24")] alias ord_compl_le := ordCompl_le
theorem ordProj_mul_ordCompl_eq_self (n p : ℕ) : ordProj[p] n * ordCompl[p] n = n :=
Nat.mul_div_cancel' (ordProj_dvd n p)
@[deprecated (since := "2024-10-24")]
alias ord_proj_mul_ord_compl_eq_self := ordProj_mul_ordCompl_eq_self
theorem ordProj_mul {a b : ℕ} (p : ℕ) (ha : a ≠ 0) (hb : b ≠ 0) :
ordProj[p] (a * b) = ordProj[p] a * ordProj[p] b := by
simp [factorization_mul ha hb, pow_add]
@[deprecated (since := "2024-10-24")] alias ord_proj_mul := ordProj_mul
theorem ordCompl_mul (a b p : ℕ) : ordCompl[p] (a * b) = ordCompl[p] a * ordCompl[p] b := by
if ha : a = 0 then simp [ha] else
if hb : b = 0 then simp [hb] else
simp only [ordProj_mul p ha hb]
rw [div_mul_div_comm (ordProj_dvd a p) (ordProj_dvd b p)]
@[deprecated (since := "2024-10-24")] alias ord_compl_mul := ordCompl_mul
/-! ### Factorization and divisibility -/
/-- A crude upper bound on `n.factorization p` -/
theorem factorization_lt {n : ℕ} (p : ℕ) (hn : n ≠ 0) : n.factorization p < n := by
by_cases pp : p.Prime
· exact (Nat.pow_lt_pow_iff_right pp.one_lt).1 <| (ordProj_le p hn).trans_lt <|
Nat.lt_pow_self pp.one_lt
· simpa only [factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
/-- An upper bound on `n.factorization p` -/
theorem factorization_le_of_le_pow {n p b : ℕ} (hb : n ≤ p ^ b) : n.factorization p ≤ b := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then
exact (Nat.pow_le_pow_iff_right pp.one_lt).1 ((ordProj_le p hn).trans hb)
else
simp [factorization_eq_zero_of_non_prime n pp]
theorem factorization_prime_le_iff_dvd {d n : ℕ} (hd : d ≠ 0) (hn : n ≠ 0) :
(∀ p : ℕ, p.Prime → d.factorization p ≤ n.factorization p) ↔ d ∣ n := by
rw [← factorization_le_iff_dvd hd hn]
refine ⟨fun h p => (em p.Prime).elim (h p) fun hp => ?_, fun h p _ => h p⟩
simp_rw [factorization_eq_zero_of_non_prime _ hp]
rfl
theorem factorization_le_factorization_mul_left {a b : ℕ} (hb : b ≠ 0) :
a.factorization ≤ (a * b).factorization := by
rcases eq_or_ne a 0 with (rfl | ha)
· simp
rw [factorization_le_iff_dvd ha <| mul_ne_zero ha hb]
exact Dvd.intro b rfl
theorem factorization_le_factorization_mul_right {a b : ℕ} (ha : a ≠ 0) :
b.factorization ≤ (a * b).factorization := by
rw [mul_comm]
apply factorization_le_factorization_mul_left ha
theorem Prime.pow_dvd_iff_le_factorization {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ k ≤ n.factorization p := by
rw [← factorization_le_iff_dvd (pow_pos pp.pos k).ne' hn, pp.factorization_pow, single_le_iff]
theorem Prime.pow_dvd_iff_dvd_ordProj {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ p ^ k ∣ ordProj[p] n := by
rw [pow_dvd_pow_iff_le_right pp.one_lt, pp.pow_dvd_iff_le_factorization hn]
@[deprecated (since := "2024-10-24")]
alias Prime.pow_dvd_iff_dvd_ord_proj := Prime.pow_dvd_iff_dvd_ordProj
theorem Prime.dvd_iff_one_le_factorization {p n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ∣ n ↔ 1 ≤ n.factorization p :=
Iff.trans (by simp) (pp.pow_dvd_iff_le_factorization hn)
theorem exists_factorization_lt_of_lt {a b : ℕ} (ha : a ≠ 0) (hab : a < b) :
∃ p : ℕ, a.factorization p < b.factorization p := by
have hb : b ≠ 0 := (ha.bot_lt.trans hab).ne'
contrapose! hab
rw [← Finsupp.le_def, factorization_le_iff_dvd hb ha] at hab
exact le_of_dvd ha.bot_lt hab
@[simp]
theorem factorization_div {d n : ℕ} (h : d ∣ n) :
(n / d).factorization = n.factorization - d.factorization := by
rcases eq_or_ne d 0 with (rfl | hd); · simp [zero_dvd_iff.mp h]
rcases eq_or_ne n 0 with (rfl | hn); · simp [tsub_eq_zero_of_le]
apply add_left_injective d.factorization
simp only
rw [tsub_add_cancel_of_le <| (Nat.factorization_le_iff_dvd hd hn).mpr h, ←
Nat.factorization_mul (Nat.div_pos (Nat.le_of_dvd hn.bot_lt h) hd.bot_lt).ne' hd,
Nat.div_mul_cancel h]
theorem dvd_ordProj_of_dvd {n p : ℕ} (hn : n ≠ 0) (pp : p.Prime) (h : p ∣ n) : p ∣ ordProj[p] n :=
dvd_pow_self p (Prime.factorization_pos_of_dvd pp hn h).ne'
@[deprecated (since := "2024-10-24")] alias dvd_ord_proj_of_dvd := dvd_ordProj_of_dvd
theorem not_dvd_ordCompl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : ¬p ∣ ordCompl[p] n := by
rw [Nat.Prime.dvd_iff_one_le_factorization hp (ordCompl_pos p hn).ne']
rw [Nat.factorization_div (Nat.ordProj_dvd n p)]
simp [hp.factorization]
@[deprecated (since := "2024-10-24")] alias not_dvd_ord_compl := not_dvd_ordCompl
theorem coprime_ordCompl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : Coprime p (ordCompl[p] n) :=
(or_iff_left (not_dvd_ordCompl hp hn)).mp <| coprime_or_dvd_of_prime hp _
@[deprecated (since := "2024-10-24")] alias coprime_ord_compl := coprime_ordCompl
theorem factorization_ordCompl (n p : ℕ) :
(ordCompl[p] n).factorization = n.factorization.erase p := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then ?_ else
simp [pp]
ext q
rcases eq_or_ne q p with (rfl | hqp)
· simp only [Finsupp.erase_same, factorization_eq_zero_iff, not_dvd_ordCompl pp hn]
simp
· rw [Finsupp.erase_ne hqp, factorization_div (ordProj_dvd n p)]
simp [pp.factorization, hqp.symm]
@[deprecated (since := "2024-10-24")] alias factorization_ord_compl := factorization_ordCompl
-- `ordCompl[p] n` is the largest divisor of `n` not divisible by `p`.
theorem dvd_ordCompl_of_dvd_not_dvd {p d n : ℕ} (hdn : d ∣ n) (hpd : ¬p ∣ d) :
d ∣ ordCompl[p] n := by
if hn0 : n = 0 then simp [hn0] else
if hd0 : d = 0 then simp [hd0] at hpd else
rw [← factorization_le_iff_dvd hd0 (ordCompl_pos p hn0).ne', factorization_ordCompl]
intro q
if hqp : q = p then
simp [factorization_eq_zero_iff, hqp, hpd]
else
simp [hqp, (factorization_le_iff_dvd hd0 hn0).2 hdn q]
@[deprecated (since := "2024-10-24")]
alias dvd_ord_compl_of_dvd_not_dvd := dvd_ordCompl_of_dvd_not_dvd
/-- If `n` is a nonzero natural number and `p ≠ 1`, then there are natural numbers `e`
and `n'` such that `n'` is not divisible by `p` and `n = p^e * n'`. -/
theorem exists_eq_pow_mul_and_not_dvd {n : ℕ} (hn : n ≠ 0) (p : ℕ) (hp : p ≠ 1) :
∃ e n' : ℕ, ¬p ∣ n' ∧ n = p ^ e * n' :=
let ⟨a', h₁, h₂⟩ :=
(Nat.finiteMultiplicity_iff.mpr ⟨hp, Nat.pos_of_ne_zero hn⟩).exists_eq_pow_mul_and_not_dvd
⟨_, a', h₂, h₁⟩
/-- Any nonzero natural number is the product of an odd part `m` and a power of
two `2 ^ k`. -/
theorem exists_eq_two_pow_mul_odd {n : ℕ} (hn : n ≠ 0) :
∃ k m : ℕ, Odd m ∧ n = 2 ^ k * m :=
let ⟨k, m, hm, hn⟩ := exists_eq_pow_mul_and_not_dvd hn 2 (succ_ne_self 1)
⟨k, m, not_even_iff_odd.1 (mt Even.two_dvd hm), hn⟩
theorem dvd_iff_div_factorization_eq_tsub {d n : ℕ} (hd : d ≠ 0) (hdn : d ≤ n) :
d ∣ n ↔ (n / d).factorization = n.factorization - d.factorization := by
refine ⟨factorization_div, ?_⟩
rcases eq_or_lt_of_le hdn with (rfl | hd_lt_n); · simp
have h1 : n / d ≠ 0 := by simp [*]
intro h
rw [dvd_iff_le_div_mul n d]
by_contra h2
obtain ⟨p, hp⟩ := exists_factorization_lt_of_lt (mul_ne_zero h1 hd) (not_le.mp h2)
rwa [factorization_mul h1 hd, add_apply, ← lt_tsub_iff_right, h, tsub_apply,
lt_self_iff_false] at hp
theorem ordProj_dvd_ordProj_of_dvd {a b : ℕ} (hb0 : b ≠ 0) (hab : a ∣ b) (p : ℕ) :
ordProj[p] a ∣ ordProj[p] b := by
rcases em' p.Prime with (pp | pp); · simp [pp]
rcases eq_or_ne a 0 with (rfl | ha0); · simp
rw [pow_dvd_pow_iff_le_right pp.one_lt]
exact (factorization_le_iff_dvd ha0 hb0).2 hab p
@[deprecated (since := "2024-10-24")]
alias ord_proj_dvd_ord_proj_of_dvd := ordProj_dvd_ordProj_of_dvd
theorem ordProj_dvd_ordProj_iff_dvd {a b : ℕ} (ha0 : a ≠ 0) (hb0 : b ≠ 0) :
(∀ p : ℕ, ordProj[p] a ∣ ordProj[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ordProj_dvd_ordProj_of_dvd hb0 hab p⟩
rw [← factorization_le_iff_dvd ha0 hb0]
intro q
rcases le_or_lt q 1 with (hq_le | hq1)
· interval_cases q <;> simp
exact (pow_dvd_pow_iff_le_right hq1).1 (h q)
@[deprecated (since := "2024-10-24")]
alias ord_proj_dvd_ord_proj_iff_dvd := ordProj_dvd_ordProj_iff_dvd
theorem ordCompl_dvd_ordCompl_of_dvd {a b : ℕ} (hab : a ∣ b) (p : ℕ) :
ordCompl[p] a ∣ ordCompl[p] b := by
rcases em' p.Prime with (pp | pp)
· simp [pp, hab]
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
rcases eq_or_ne a 0 with (rfl | ha0)
· cases hb0 (zero_dvd_iff.1 hab)
have ha := (Nat.div_pos (ordProj_le p ha0) (ordProj_pos a p)).ne'
have hb := (Nat.div_pos (ordProj_le p hb0) (ordProj_pos b p)).ne'
rw [← factorization_le_iff_dvd ha hb, factorization_ordCompl a p, factorization_ordCompl b p]
intro q
rcases eq_or_ne q p with (rfl | hqp)
· simp
simp_rw [erase_ne hqp]
exact (factorization_le_iff_dvd ha0 hb0).2 hab q
@[deprecated (since := "2024-10-24")]
alias ord_compl_dvd_ord_compl_of_dvd := ordCompl_dvd_ordCompl_of_dvd
theorem ordCompl_dvd_ordCompl_iff_dvd (a b : ℕ) :
(∀ p : ℕ, ordCompl[p] a ∣ ordCompl[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ordCompl_dvd_ordCompl_of_dvd hab p⟩
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
if pa : a.Prime then ?_ else simpa [pa] using h a
if pb : b.Prime then ?_ else simpa [pb] using h b
rw [prime_dvd_prime_iff_eq pa pb]
by_contra hab
apply pa.ne_one
rw [← Nat.dvd_one, ← Nat.mul_dvd_mul_iff_left hb0.bot_lt, mul_one]
simpa [Prime.factorization_self pb, Prime.factorization pa, hab] using h b
@[deprecated (since := "2024-10-24")]
alias ord_compl_dvd_ord_compl_iff_dvd := ordCompl_dvd_ordCompl_iff_dvd
theorem dvd_iff_prime_pow_dvd_dvd (n d : ℕ) :
d ∣ n ↔ ∀ p k : ℕ, Prime p → p ^ k ∣ d → p ^ k ∣ n := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rcases eq_or_ne d 0 with (rfl | hd)
· simp only [zero_dvd_iff, hn, false_iff, not_forall]
exact ⟨2, n, prime_two, dvd_zero _, mt (le_of_dvd hn.bot_lt) (n.lt_two_pow_self).not_le⟩
refine ⟨fun h p k _ hpkd => dvd_trans hpkd h, ?_⟩
rw [← factorization_prime_le_iff_dvd hd hn]
intro h p pp
simp_rw [← pp.pow_dvd_iff_le_factorization hn]
exact h p _ pp (ordProj_dvd _ _)
theorem prod_primeFactors_dvd (n : ℕ) : ∏ p ∈ n.primeFactors, p ∣ n := by
by_cases hn : n = 0
· subst hn
simp
· simpa [prod_primeFactorsList hn] using (n.primeFactorsList : Multiset ℕ).toFinset_prod_dvd_prod
theorem factorization_gcd {a b : ℕ} (ha_pos : a ≠ 0) (hb_pos : b ≠ 0) :
(gcd a b).factorization = a.factorization ⊓ b.factorization := by
let dfac := a.factorization ⊓ b.factorization
let d := dfac.prod (· ^ ·)
have dfac_prime : ∀ p : ℕ, p ∈ dfac.support → Prime p := by
intro p hp
have : p ∈ a.primeFactorsList ∧ p ∈ b.primeFactorsList := by simpa [dfac] using hp
exact prime_of_mem_primeFactorsList this.1
have h1 : d.factorization = dfac := prod_pow_factorization_eq_self dfac_prime
have hd_pos : d ≠ 0 := (factorizationEquiv.invFun ⟨dfac, dfac_prime⟩).2.ne'
suffices d = gcd a b by rwa [← this]
apply gcd_greatest
· rw [← factorization_le_iff_dvd hd_pos ha_pos, h1]
exact inf_le_left
· rw [← factorization_le_iff_dvd hd_pos hb_pos, h1]
exact inf_le_right
· intro e hea heb
rcases Decidable.eq_or_ne e 0 with (rfl | he_pos)
· simp only [zero_dvd_iff] at hea
contradiction
have hea' := (factorization_le_iff_dvd he_pos ha_pos).mpr hea
have heb' := (factorization_le_iff_dvd he_pos hb_pos).mpr heb
simp [dfac, ← factorization_le_iff_dvd he_pos hd_pos, h1, hea', heb']
theorem factorization_lcm {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a.lcm b).factorization = a.factorization ⊔ b.factorization := by
rw [← add_right_inj (a.gcd b).factorization, ←
factorization_mul (mt gcd_eq_zero_iff.1 fun h => ha h.1) (lcm_ne_zero ha hb), gcd_mul_lcm,
factorization_gcd ha hb, factorization_mul ha hb]
ext1
exact (min_add_max _ _).symm
variable (a b)
@[simp]
lemma factorizationLCMLeft_zero_left : factorizationLCMLeft 0 b = 1 := by
simp [factorizationLCMLeft]
@[simp]
lemma factorizationLCMLeft_zero_right : factorizationLCMLeft a 0 = 1 := by
simp [factorizationLCMLeft]
@[simp]
lemma factorizationLCRight_zero_left : factorizationLCMRight 0 b = 1 := by
simp [factorizationLCMRight]
@[simp]
lemma factorizationLCMRight_zero_right : factorizationLCMRight a 0 = 1 := by
simp [factorizationLCMRight]
lemma factorizationLCMLeft_pos :
0 < factorizationLCMLeft a b := by
apply Nat.pos_of_ne_zero
rw [factorizationLCMLeft, Finsupp.prod_ne_zero_iff]
intro p _ H
by_cases h : b.factorization p ≤ a.factorization p
· simp only [h, reduceIte, pow_eq_zero_iff', ne_eq] at H
simpa [H.1] using H.2
· simp only [h, reduceIte, one_ne_zero] at H
lemma factorizationLCMRight_pos :
0 < factorizationLCMRight a b := by
apply Nat.pos_of_ne_zero
rw [factorizationLCMRight, Finsupp.prod_ne_zero_iff]
intro p _ H
by_cases h : b.factorization p ≤ a.factorization p
· simp only [h, reduceIte, pow_eq_zero_iff', ne_eq, reduceCtorEq] at H
· simp only [h, ↓reduceIte, pow_eq_zero_iff', ne_eq] at H
simpa [H.1] using H.2
lemma coprime_factorizationLCMLeft_factorizationLCMRight :
(factorizationLCMLeft a b).Coprime (factorizationLCMRight a b) := by
rw [factorizationLCMLeft, factorizationLCMRight]
refine coprime_prod_left_iff.mpr fun p hp ↦ coprime_prod_right_iff.mpr fun q hq ↦ ?_
dsimp only; split_ifs with h h'
any_goals simp only [coprime_one_right_eq_true, coprime_one_left_eq_true]
refine coprime_pow_primes _ _ (prime_of_mem_primeFactors hp) (prime_of_mem_primeFactors hq) ?_
contrapose! h'; rwa [← h']
variable {a b}
lemma factorizationLCMLeft_mul_factorizationLCMRight (ha : a ≠ 0) (hb : b ≠ 0) :
(factorizationLCMLeft a b) * (factorizationLCMRight a b) = lcm a b := by
rw [← factorization_prod_pow_eq_self (lcm_ne_zero ha hb), factorizationLCMLeft,
factorizationLCMRight, ← prod_mul]
congr; ext p n; split_ifs <;> simp
variable (a b)
lemma factorizationLCMLeft_dvd_left : factorizationLCMLeft a b ∣ a := by
rcases eq_or_ne a 0 with rfl | ha
· simp only [dvd_zero]
rcases eq_or_ne b 0 with rfl | hb
· simp [factorizationLCMLeft]
nth_rewrite 2 [← factorization_prod_pow_eq_self ha]
rw [prod_of_support_subset (s := (lcm a b).factorization.support)]
· apply prod_dvd_prod_of_dvd; rintro p -; dsimp only; split_ifs with le
· rw [factorization_lcm ha hb]; apply pow_dvd_pow; exact sup_le le_rfl le
· apply one_dvd
· intro p hp; rw [mem_support_iff] at hp ⊢
rw [factorization_lcm ha hb]; exact (lt_sup_iff.mpr <| .inl <| Nat.pos_of_ne_zero hp).ne'
· intros; rw [pow_zero]
lemma factorizationLCMRight_dvd_right : factorizationLCMRight a b ∣ b := by
rcases eq_or_ne a 0 with rfl | ha
· simp [factorizationLCMRight]
rcases eq_or_ne b 0 with rfl | hb
· simp only [dvd_zero]
nth_rewrite 2 [← factorization_prod_pow_eq_self hb]
rw [prod_of_support_subset (s := (lcm a b).factorization.support)]
· apply Finset.prod_dvd_prod_of_dvd; rintro p -; dsimp only; split_ifs with le
· apply one_dvd
· rw [factorization_lcm ha hb]; apply pow_dvd_pow; exact sup_le (not_le.1 le).le le_rfl
· intro p hp; rw [mem_support_iff] at hp ⊢
rw [factorization_lcm ha hb]; exact (lt_sup_iff.mpr <| .inr <| Nat.pos_of_ne_zero hp).ne'
· intros; rw [pow_zero]
@[to_additive sum_primeFactors_gcd_add_sum_primeFactors_mul]
theorem prod_primeFactors_gcd_mul_prod_primeFactors_mul {β : Type*} [CommMonoid β] (m n : ℕ)
(f : ℕ → β) :
(m.gcd n).primeFactors.prod f * (m * n).primeFactors.prod f =
m.primeFactors.prod f * n.primeFactors.prod f := by
obtain rfl | hm₀ := eq_or_ne m 0
· simp
obtain rfl | hn₀ := eq_or_ne n 0
· simp
· rw [primeFactors_mul hm₀ hn₀, primeFactors_gcd hm₀ hn₀, mul_comm, Finset.prod_union_inter]
theorem setOf_pow_dvd_eq_Icc_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) :
{ i : ℕ | i ≠ 0 ∧ p ^ i ∣ n } = Set.Icc 1 (n.factorization p) := by
ext
simp [Nat.lt_succ_iff, one_le_iff_ne_zero, pp.pow_dvd_iff_le_factorization hn]
/-- The set of positive powers of prime `p` that divide `n` is exactly the set of
positive natural numbers up to `n.factorization p`. -/
theorem Icc_factorization_eq_pow_dvd (n : ℕ) {p : ℕ} (pp : Prime p) :
Icc 1 (n.factorization p) = {i ∈ Ico 1 n | p ^ i ∣ n} := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
ext x
simp only [mem_Icc, Finset.mem_filter, mem_Ico, and_assoc, and_congr_right_iff,
pp.pow_dvd_iff_le_factorization hn, iff_and_self]
exact fun _ H => lt_of_le_of_lt H (factorization_lt p hn)
theorem factorization_eq_card_pow_dvd (n : ℕ) {p : ℕ} (pp : p.Prime) :
n.factorization p = #{i ∈ Ico 1 n | p ^ i ∣ n} := by
simp [← Icc_factorization_eq_pow_dvd n pp]
theorem Ico_filter_pow_dvd_eq {n p b : ℕ} (pp : p.Prime) (hn : n ≠ 0) (hb : n ≤ p ^ b) :
{i ∈ Ico 1 n | p ^ i ∣ n} = {i ∈ Icc 1 b | p ^ i ∣ n} := by
ext x
simp only [Finset.mem_filter, mem_Ico, mem_Icc, and_congr_left_iff, and_congr_right_iff]
rintro h1 -
exact iff_of_true (lt_of_pow_dvd_right hn pp.two_le h1) <|
(Nat.pow_le_pow_iff_right pp.one_lt).1 <| (le_of_dvd hn.bot_lt h1).trans hb
/-! ### Factorization and coprimes -/
/-- If `p` is a prime factor of `a` then the power of `p` in `a` is the same that in `a * b`,
for any `b` coprime to `a`. -/
theorem factorization_eq_of_coprime_left {p a b : ℕ} (hab : Coprime a b)
(hpa : p ∈ a.primeFactorsList) : (a * b).factorization p = a.factorization p := by
rw [factorization_mul_apply_of_coprime hab, ← primeFactorsList_count_eq,
← primeFactorsList_count_eq,
count_eq_zero_of_not_mem (coprime_primeFactorsList_disjoint hab hpa), add_zero]
/-- If `p` is a prime factor of `b` then the power of `p` in `b` is the same that in `a * b`,
for any `a` coprime to `b`. -/
theorem factorization_eq_of_coprime_right {p a b : ℕ} (hab : Coprime a b)
(hpb : p ∈ b.primeFactorsList) : (a * b).factorization p = b.factorization p := by
rw [mul_comm]
exact factorization_eq_of_coprime_left (coprime_comm.mp hab) hpb
/-- Two positive naturals are equal if their prime padic valuations are equal -/
theorem eq_iff_prime_padicValNat_eq (a b : ℕ) (ha : a ≠ 0) (hb : b ≠ 0) :
a = b ↔ ∀ p : ℕ, p.Prime → padicValNat p a = padicValNat p b := by
constructor
· rintro rfl
simp
· intro h
refine eq_of_factorization_eq ha hb fun p => ?_
by_cases pp : p.Prime
· simp [factorization_def, pp, h p pp]
· simp [factorization_eq_zero_of_non_prime, pp]
theorem prod_pow_prime_padicValNat (n : Nat) (hn : n ≠ 0) (m : Nat) (pr : n < m) :
∏ p ∈ range m with p.Prime, p ^ padicValNat p n = n := by
nth_rw 2 [← factorization_prod_pow_eq_self hn]
rw [eq_comm]
apply Finset.prod_subset_one_on_sdiff
· exact fun p hp => Finset.mem_filter.mpr ⟨Finset.mem_range.2 <| pr.trans_le' <|
le_of_mem_primeFactors hp, prime_of_mem_primeFactors hp⟩
· intro p hp
obtain ⟨hp1, hp2⟩ := Finset.mem_sdiff.mp hp
rw [← factorization_def n (Finset.mem_filter.mp hp1).2]
simp [Finsupp.not_mem_support_iff.mp hp2]
· intro p hp
simp [factorization_def n (prime_of_mem_primeFactors hp)]
/-! ### Lemmas about factorizations of particular functions -/
-- TODO: Port lemmas from `Data/Nat/Multiplicity` to here, re-written in terms of `factorization`
/-- Exactly `n / p` naturals in `[1, n]` are multiples of `p`.
See `Nat.card_multiples'` for an alternative spelling of the statement. -/
theorem card_multiples (n p : ℕ) : #{e ∈ range n | p ∣ e + 1} = n / p := by
induction' n with n hn
· simp
simp [Nat.succ_div, add_ite, add_zero, Finset.range_succ, filter_insert, apply_ite card,
card_insert_of_not_mem, hn]
/-- Exactly `n / p` naturals in `(0, n]` are multiples of `p`. -/
theorem Ioc_filter_dvd_card_eq_div (n p : ℕ) : #{x ∈ Ioc 0 n | p ∣ x} = n / p := by
induction' n with n IH
· simp
-- TODO: Golf away `h1` after Yaël PRs a lemma asserting this
have h1 : Ioc 0 n.succ = insert n.succ (Ioc 0 n) := by
rcases n.eq_zero_or_pos with (rfl | hn)
· simp
simp_rw [← Ico_succ_succ, Ico_insert_right (succ_le_succ hn.le), Ico_succ_right]
simp [Nat.succ_div, add_ite, add_zero, h1, filter_insert, apply_ite card, card_insert_eq_ite, IH,
Finset.mem_filter, mem_Ioc, not_le.2 (lt_add_one n)]
/-- There are exactly `⌊N/n⌋` positive multiples of `n` that are `≤ N`.
See `Nat.card_multiples` for a "shifted-by-one" version. -/
lemma card_multiples' (N n : ℕ) : #{k ∈ range N.succ | k ≠ 0 ∧ n ∣ k} = N / n := by
induction N with
| zero => simp [Finset.filter_false_of_mem]
| succ N ih =>
rw [Finset.range_succ, Finset.filter_insert]
by_cases h : n ∣ N.succ
· simp [h, succ_div_of_dvd, ih]
· simp [h, succ_div_of_not_dvd, ih]
end Nat
| Mathlib/Data/Nat/Factorization/Basic.lean | 738 | 750 | |
/-
Copyright (c) 2020 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.Algebra.GCDMonoid.Basic
import Mathlib.Algebra.Order.Group.Multiset
import Mathlib.Data.Multiset.FinsetOps
import Mathlib.Data.Multiset.Fold
/-!
# GCD and LCM operations on multisets
## Main definitions
- `Multiset.gcd` - the greatest common denominator of a `Multiset` of elements of a `GCDMonoid`
- `Multiset.lcm` - the least common multiple of a `Multiset` of elements of a `GCDMonoid`
## Implementation notes
TODO: simplify with a tactic and `Data.Multiset.Lattice`
## Tags
multiset, gcd
-/
namespace Multiset
variable {α : Type*} [CancelCommMonoidWithZero α] [NormalizedGCDMonoid α]
/-! ### LCM -/
section lcm
/-- Least common multiple of a multiset -/
def lcm (s : Multiset α) : α :=
s.fold GCDMonoid.lcm 1
@[simp]
theorem lcm_zero : (0 : Multiset α).lcm = 1 :=
fold_zero _ _
@[simp]
theorem lcm_cons (a : α) (s : Multiset α) : (a ::ₘ s).lcm = GCDMonoid.lcm a s.lcm :=
fold_cons_left _ _ _ _
@[simp]
theorem lcm_singleton {a : α} : ({a} : Multiset α).lcm = normalize a :=
(fold_singleton _ _ _).trans <| lcm_one_right _
@[simp]
theorem lcm_add (s₁ s₂ : Multiset α) : (s₁ + s₂).lcm = GCDMonoid.lcm s₁.lcm s₂.lcm :=
Eq.trans (by simp [lcm]) (fold_add _ _ _ _ _)
theorem lcm_dvd {s : Multiset α} {a : α} : s.lcm ∣ a ↔ ∀ b ∈ s, b ∣ a :=
Multiset.induction_on s (by simp)
(by simp +contextual [or_imp, forall_and, lcm_dvd_iff])
theorem dvd_lcm {s : Multiset α} {a : α} (h : a ∈ s) : a ∣ s.lcm :=
lcm_dvd.1 dvd_rfl _ h
theorem lcm_mono {s₁ s₂ : Multiset α} (h : s₁ ⊆ s₂) : s₁.lcm ∣ s₂.lcm :=
lcm_dvd.2 fun _ hb ↦ dvd_lcm (h hb)
@[simp]
theorem normalize_lcm (s : Multiset α) : normalize s.lcm = s.lcm :=
Multiset.induction_on s (by simp) fun a s _ ↦ by simp
@[simp]
nonrec theorem lcm_eq_zero_iff [Nontrivial α] (s : Multiset α) : s.lcm = 0 ↔ (0 : α) ∈ s := by
induction s using Multiset.induction_on with
| empty => simp only [lcm_zero, one_ne_zero, not_mem_zero]
| cons a s ihs => simp only [mem_cons, lcm_cons, lcm_eq_zero_iff, ihs, @eq_comm _ a]
variable [DecidableEq α]
@[simp]
theorem lcm_dedup (s : Multiset α) : (dedup s).lcm = s.lcm :=
Multiset.induction_on s (by simp) fun a s IH ↦ by
by_cases h : a ∈ s <;> simp [IH, h]
unfold lcm
rw [← cons_erase h, fold_cons_left, ← lcm_assoc, lcm_same]
apply lcm_eq_of_associated_left (associated_normalize _)
@[simp]
theorem lcm_ndunion (s₁ s₂ : Multiset α) : (ndunion s₁ s₂).lcm = GCDMonoid.lcm s₁.lcm s₂.lcm := by
rw [← lcm_dedup, dedup_ext.2, lcm_dedup, lcm_add]
simp
@[simp]
theorem lcm_union (s₁ s₂ : Multiset α) : (s₁ ∪ s₂).lcm = GCDMonoid.lcm s₁.lcm s₂.lcm := by
rw [← lcm_dedup, dedup_ext.2, lcm_dedup, lcm_add]
simp
@[simp]
theorem lcm_ndinsert (a : α) (s : Multiset α) : (ndinsert a s).lcm = GCDMonoid.lcm a s.lcm := by
rw [← lcm_dedup, dedup_ext.2, lcm_dedup, lcm_cons]
simp
end lcm
/-! ### GCD -/
section gcd
/-- Greatest common divisor of a multiset -/
def gcd (s : Multiset α) : α :=
s.fold GCDMonoid.gcd 0
@[simp]
theorem gcd_zero : (0 : Multiset α).gcd = 0 :=
fold_zero _ _
@[simp]
theorem gcd_cons (a : α) (s : Multiset α) : (a ::ₘ s).gcd = GCDMonoid.gcd a s.gcd :=
fold_cons_left _ _ _ _
@[simp]
theorem gcd_singleton {a : α} : ({a} : Multiset α).gcd = normalize a :=
(fold_singleton _ _ _).trans <| gcd_zero_right _
@[simp]
theorem gcd_add (s₁ s₂ : Multiset α) : (s₁ + s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd :=
Eq.trans (by simp [gcd]) (fold_add _ _ _ _ _)
theorem dvd_gcd {s : Multiset α} {a : α} : a ∣ s.gcd ↔ ∀ b ∈ s, a ∣ b :=
Multiset.induction_on s (by simp)
(by simp +contextual [or_imp, forall_and, dvd_gcd_iff])
theorem gcd_dvd {s : Multiset α} {a : α} (h : a ∈ s) : s.gcd ∣ a :=
dvd_gcd.1 dvd_rfl _ h
theorem gcd_mono {s₁ s₂ : Multiset α} (h : s₁ ⊆ s₂) : s₂.gcd ∣ s₁.gcd :=
dvd_gcd.2 fun _ hb ↦ gcd_dvd (h hb)
@[simp]
theorem normalize_gcd (s : Multiset α) : normalize s.gcd = s.gcd :=
Multiset.induction_on s (by simp) fun a s _ ↦ by simp
theorem gcd_eq_zero_iff (s : Multiset α) : s.gcd = 0 ↔ ∀ x : α, x ∈ s → x = 0 := by
constructor
· intro h x hx
apply eq_zero_of_zero_dvd
rw [← h]
apply gcd_dvd hx
· refine s.induction_on ?_ ?_
· simp
intro a s sgcd h
simp [h a (mem_cons_self a s), sgcd fun x hx ↦ h x (mem_cons_of_mem hx)]
theorem gcd_map_mul (a : α) (s : Multiset α) : (s.map (a * ·)).gcd = normalize a * s.gcd := by
refine s.induction_on ?_ fun b s ih ↦ ?_
· simp_rw [map_zero, gcd_zero, mul_zero]
· simp_rw [map_cons, gcd_cons, ← gcd_mul_left]
rw [ih]
apply ((normalize_associated a).mul_right _).gcd_eq_right
section
variable [DecidableEq α]
@[simp]
theorem gcd_dedup (s : Multiset α) : (dedup s).gcd = s.gcd :=
Multiset.induction_on s (by simp) fun a s IH ↦ by
by_cases h : a ∈ s <;> simp [IH, h]
unfold gcd
rw [← cons_erase h, fold_cons_left, ← gcd_assoc, gcd_same]
apply (associated_normalize _).gcd_eq_left
@[simp]
theorem gcd_ndunion (s₁ s₂ : Multiset α) : (ndunion s₁ s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := by
rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_add]
simp
@[simp]
theorem gcd_union (s₁ s₂ : Multiset α) : (s₁ ∪ s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := by
rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_add]
simp
@[simp]
theorem gcd_ndinsert (a : α) (s : Multiset α) : (ndinsert a s).gcd = GCDMonoid.gcd a s.gcd := by
rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_cons]
simp
end
theorem extract_gcd' (s t : Multiset α) (hs : ∃ x, x ∈ s ∧ x ≠ (0 : α))
(ht : s = t.map (s.gcd * ·)) : t.gcd = 1 :=
((@mul_right_eq_self₀ _ _ s.gcd _).1 <| by
conv_lhs => rw [← normalize_gcd, ← gcd_map_mul, ← ht]).resolve_right <| by
contrapose! hs
exact s.gcd_eq_zero_iff.1 hs
theorem extract_gcd (s : Multiset α) (hs : s ≠ 0) :
∃ t : Multiset α, s = t.map (s.gcd * ·) ∧ t.gcd = 1 := by
classical
by_cases h : ∀ x ∈ s, x = (0 : α)
· use replicate (card s) 1
rw [map_replicate, eq_replicate, mul_one, s.gcd_eq_zero_iff.2 h, ← nsmul_singleton,
← gcd_dedup, dedup_nsmul (card_pos.2 hs).ne', dedup_singleton, gcd_singleton]
exact ⟨⟨rfl, h⟩, normalize_one⟩
· choose f hf using @gcd_dvd _ _ _ s
push_neg at h
| refine ⟨s.pmap @f fun _ ↦ id, ?_, extract_gcd' s _ h ?_⟩ <;>
· rw [map_pmap]
conv_lhs => rw [← s.map_id, ← s.pmap_eq_map _ _ fun _ ↦ id]
| Mathlib/Algebra/GCDMonoid/Multiset.lean | 207 | 209 |
/-
Copyright (c) 2022 Matej Penciak. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Matej Penciak, Moritz Doll, Fabien Clery
-/
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
/-!
# The Symplectic Group
This file defines the symplectic group and proves elementary properties.
## Main Definitions
* `Matrix.J`: the canonical `2n × 2n` skew-symmetric matrix
* `symplecticGroup`: the group of symplectic matrices
## TODO
* Every symplectic matrix has determinant 1.
* For `n = 1` the symplectic group coincides with the special linear group.
-/
open Matrix
variable {l R : Type*}
namespace Matrix
variable (l) [DecidableEq l] (R) [CommRing R]
section JMatrixLemmas
/-- The matrix defining the canonical skew-symmetric bilinear form. -/
def J : Matrix (l ⊕ l) (l ⊕ l) R :=
Matrix.fromBlocks 0 (-1) 1 0
@[simp]
theorem J_transpose : (J l R)ᵀ = -J l R := by
rw [J, fromBlocks_transpose, ← neg_one_smul R (fromBlocks _ _ _ _ : Matrix (l ⊕ l) (l ⊕ l) R),
fromBlocks_smul, Matrix.transpose_zero, Matrix.transpose_one, transpose_neg]
simp [fromBlocks]
variable [Fintype l]
theorem J_squared : J l R * J l R = -1 := by
rw [J, fromBlocks_multiply]
simp only [Matrix.zero_mul, Matrix.neg_mul, zero_add, neg_zero, Matrix.one_mul, add_zero]
rw [← neg_zero, ← Matrix.fromBlocks_neg, ← fromBlocks_one]
theorem J_inv : (J l R)⁻¹ = -J l R := by
refine Matrix.inv_eq_right_inv ?_
rw [Matrix.mul_neg, J_squared]
exact neg_neg 1
theorem J_det_mul_J_det : det (J l R) * det (J l R) = 1 := by
rw [← det_mul, J_squared, ← one_smul R (-1 : Matrix _ _ R), smul_neg, ← neg_smul, det_smul,
Fintype.card_sum, det_one, mul_one]
apply Even.neg_one_pow
exact Even.add_self _
theorem isUnit_det_J : IsUnit (det (J l R)) :=
isUnit_iff_exists_inv.mpr ⟨det (J l R), J_det_mul_J_det _ _⟩
end JMatrixLemmas
variable [Fintype l]
/-- The group of symplectic matrices over a ring `R`. -/
def symplecticGroup : Submonoid (Matrix (l ⊕ l) (l ⊕ l) R) where
carrier := { A | A * J l R * Aᵀ = J l R }
mul_mem' {a b} ha hb := by
simp only [Set.mem_setOf_eq, transpose_mul] at *
rw [← Matrix.mul_assoc, a.mul_assoc, a.mul_assoc, hb]
exact ha
one_mem' := by simp
end Matrix
namespace SymplecticGroup
variable [DecidableEq l] [Fintype l] [CommRing R]
open Matrix
theorem mem_iff {A : Matrix (l ⊕ l) (l ⊕ l) R} :
A ∈ symplecticGroup l R ↔ A * J l R * Aᵀ = J l R := by simp [symplecticGroup]
instance coeMatrix : Coe (symplecticGroup l R) (Matrix (l ⊕ l) (l ⊕ l) R) :=
⟨Subtype.val⟩
section SymplecticJ
variable (l) (R)
theorem J_mem : J l R ∈ symplecticGroup l R := by
rw [mem_iff, J, fromBlocks_multiply, fromBlocks_transpose, fromBlocks_multiply]
simp
/-- The canonical skew-symmetric matrix as an element in the symplectic group. -/
def symJ : symplecticGroup l R :=
⟨J l R, J_mem l R⟩
variable {l} {R}
@[simp]
theorem coe_J : ↑(symJ l R) = J l R := rfl
end SymplecticJ
variable {A : Matrix (l ⊕ l) (l ⊕ l) R}
theorem neg_mem (h : A ∈ symplecticGroup l R) : -A ∈ symplecticGroup l R := by
rw [mem_iff] at h ⊢
simp [h]
theorem symplectic_det (hA : A ∈ symplecticGroup l R) : IsUnit <| det A := by
rw [isUnit_iff_exists_inv]
use A.det
refine (isUnit_det_J l R).mul_left_cancel ?_
rw [mul_one]
rw [mem_iff] at hA
apply_fun det at hA
simp only [det_mul, det_transpose] at hA
rw [mul_comm A.det, mul_assoc] at hA
exact hA
theorem transpose_mem (hA : A ∈ symplecticGroup l R) : Aᵀ ∈ symplecticGroup l R := by
rw [mem_iff] at hA ⊢
rw [transpose_transpose]
have huA := symplectic_det hA
have huAT : IsUnit Aᵀ.det := by
rw [Matrix.det_transpose]
exact huA
calc
Aᵀ * J l R * A = (-Aᵀ) * (J l R)⁻¹ * A := by
rw [J_inv]
simp
_ = (-Aᵀ) * (A * J l R * Aᵀ)⁻¹ * A := by rw [hA]
_ = -(Aᵀ * (Aᵀ⁻¹ * (J l R)⁻¹)) * A⁻¹ * A := by
simp only [Matrix.mul_inv_rev, Matrix.mul_assoc, Matrix.neg_mul]
_ = -(J l R)⁻¹ := by
rw [mul_nonsing_inv_cancel_left _ _ huAT, nonsing_inv_mul_cancel_right _ _ huA]
_ = J l R := by simp [J_inv]
@[simp]
theorem transpose_mem_iff : Aᵀ ∈ symplecticGroup l R ↔ A ∈ symplecticGroup l R :=
⟨fun hA => by simpa using transpose_mem hA, transpose_mem⟩
theorem mem_iff' : A ∈ symplecticGroup l R ↔ Aᵀ * J l R * A = J l R := by
rw [← transpose_mem_iff, mem_iff, transpose_transpose]
instance hasInv : Inv (symplecticGroup l R) where
inv A := ⟨(-J l R) * (A : Matrix (l ⊕ l) (l ⊕ l) R)ᵀ * J l R,
mul_mem (mul_mem (neg_mem <| J_mem _ _) <| transpose_mem A.2) <| J_mem _ _⟩
theorem coe_inv (A : symplecticGroup l R) : (↑A⁻¹ : Matrix _ _ _) = (-J l R) * (↑A)ᵀ * J l R := rfl
theorem inv_left_mul_aux (hA : A ∈ symplecticGroup l R) : -(J l R * Aᵀ * J l R * A) = 1 :=
calc
-(J l R * Aᵀ * J l R * A) = (-J l R) * (Aᵀ * J l R * A) := by
simp only [Matrix.mul_assoc, Matrix.neg_mul]
_ = (-J l R) * J l R := by
rw [mem_iff'] at hA
rw [hA]
_ = (-1 : R) • (J l R * J l R) := by simp only [Matrix.neg_mul, neg_smul, one_smul]
_ = (-1 : R) • (-1 : Matrix _ _ _) := by rw [J_squared]
_ = 1 := by simp only [neg_smul_neg, one_smul]
theorem coe_inv' (A : symplecticGroup l R) : (↑A⁻¹ : Matrix (l ⊕ l) (l ⊕ l) R) = (↑A)⁻¹ := by
refine (coe_inv A).trans (inv_eq_left_inv ?_).symm
simp [inv_left_mul_aux, coe_inv]
theorem inv_eq_symplectic_inv (A : Matrix (l ⊕ l) (l ⊕ l) R) (hA : A ∈ symplecticGroup l R) :
A⁻¹ = (-J l R) * Aᵀ * J l R :=
inv_eq_left_inv (by simp only [Matrix.neg_mul, inv_left_mul_aux hA])
instance : Group (symplecticGroup l R) :=
{ SymplecticGroup.hasInv, Submonoid.toMonoid _ with
inv_mul_cancel := fun A => by
apply Subtype.ext
simp only [Submonoid.coe_one, Submonoid.coe_mul, Matrix.neg_mul, coe_inv]
exact inv_left_mul_aux A.2 }
end SymplecticGroup
| Mathlib/LinearAlgebra/SymplecticGroup.lean | 189 | 198 | |
/-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Patrick Massot, Casper Putz, Anne Baanen
-/
import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition
import Mathlib.LinearAlgebra.GeneralLinearGroup
import Mathlib.LinearAlgebra.Matrix.Reindex
import Mathlib.Tactic.FieldSimp
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.LinearAlgebra.Matrix.Basis
/-!
# Determinant of families of vectors
This file defines the determinant of an endomorphism, and of a family of vectors
with respect to some basis. For the determinant of a matrix, see the file
`LinearAlgebra.Matrix.Determinant`.
## Main definitions
In the list below, and in all this file, `R` is a commutative ring (semiring
is sometimes enough), `M` and its variations are `R`-modules, `ι`, `κ`, `n` and `m` are finite
types used for indexing.
* `Basis.det`: the determinant of a family of vectors with respect to a basis,
as a multilinear map
* `LinearMap.det`: the determinant of an endomorphism `f : End R M` as a
multiplicative homomorphism (if `M` does not have a finite `R`-basis, the
result is `1` instead)
* `LinearEquiv.det`: the determinant of an isomorphism `f : M ≃ₗ[R] M` as a
multiplicative homomorphism (if `M` does not have a finite `R`-basis, the
result is `1` instead)
## Tags
basis, det, determinant
-/
noncomputable section
open Matrix LinearMap Submodule Set Function
universe u v w
variable {R : Type*} [CommRing R]
variable {M : Type*} [AddCommGroup M] [Module R M]
variable {M' : Type*} [AddCommGroup M'] [Module R M']
variable {ι : Type*} [DecidableEq ι] [Fintype ι]
variable (e : Basis ι R M)
section Conjugate
variable {A : Type*} [CommRing A]
variable {m n : Type*}
/-- If `R^m` and `R^n` are linearly equivalent, then `m` and `n` are also equivalent. -/
def equivOfPiLEquivPi {R : Type*} [Finite m] [Finite n] [CommRing R] [Nontrivial R]
(e : (m → R) ≃ₗ[R] n → R) : m ≃ n :=
Basis.indexEquiv (Basis.ofEquivFun e.symm) (Pi.basisFun _ _)
namespace Matrix
variable [Fintype m] [Fintype n]
/-- If `M` and `M'` are each other's inverse matrices, they are square matrices up to
equivalence of types. -/
def indexEquivOfInv [Nontrivial A] [DecidableEq m] [DecidableEq n] {M : Matrix m n A}
{M' : Matrix n m A} (hMM' : M * M' = 1) (hM'M : M' * M = 1) : m ≃ n :=
equivOfPiLEquivPi (toLin'OfInv hMM' hM'M)
theorem det_comm [DecidableEq n] (M N : Matrix n n A) : det (M * N) = det (N * M) := by
rw [det_mul, det_mul, mul_comm]
/-- If there exists a two-sided inverse `M'` for `M` (indexed differently),
then `det (N * M) = det (M * N)`. -/
theorem det_comm' [DecidableEq m] [DecidableEq n] {M : Matrix n m A} {N : Matrix m n A}
{M' : Matrix m n A} (hMM' : M * M' = 1) (hM'M : M' * M = 1) : det (M * N) = det (N * M) := by
nontriviality A
-- Although `m` and `n` are different a priori, we will show they have the same cardinality.
-- This turns the problem into one for square matrices, which is easy.
let e := indexEquivOfInv hMM' hM'M
rw [← det_submatrix_equiv_self e, ← submatrix_mul_equiv _ _ _ (Equiv.refl n) _, det_comm,
submatrix_mul_equiv, Equiv.coe_refl, submatrix_id_id]
/-- If `M'` is a two-sided inverse for `M` (indexed differently), `det (M * N * M') = det N`.
See `Matrix.det_conj` and `Matrix.det_conj'` for the case when `M' = M⁻¹` or vice versa. -/
theorem det_conj_of_mul_eq_one [DecidableEq m] [DecidableEq n] {M : Matrix m n A}
{M' : Matrix n m A} {N : Matrix n n A} (hMM' : M * M' = 1) (hM'M : M' * M = 1) :
det (M * N * M') = det N := by
rw [← det_comm' hM'M hMM', ← Matrix.mul_assoc, hM'M, Matrix.one_mul]
end Matrix
end Conjugate
namespace LinearMap
/-! ### Determinant of a linear map -/
variable {A : Type*} [CommRing A] [Module A M]
variable {κ : Type*} [Fintype κ]
/-- The determinant of `LinearMap.toMatrix` does not depend on the choice of basis. -/
theorem det_toMatrix_eq_det_toMatrix [DecidableEq κ] (b : Basis ι A M) (c : Basis κ A M)
(f : M →ₗ[A] M) : det (LinearMap.toMatrix b b f) = det (LinearMap.toMatrix c c f) := by
rw [← linearMap_toMatrix_mul_basis_toMatrix c b c, ← basis_toMatrix_mul_linearMap_toMatrix b c b,
Matrix.det_conj_of_mul_eq_one] <;>
rw [Basis.toMatrix_mul_toMatrix, Basis.toMatrix_self]
/-- The determinant of an endomorphism given a basis.
See `LinearMap.det` for a version that populates the basis non-computably.
Although the `Trunc (Basis ι A M)` parameter makes it slightly more convenient to switch bases,
there is no good way to generalize over universe parameters, so we can't fully state in `detAux`'s
type that it does not depend on the choice of basis. Instead you can use the `detAux_def''` lemma,
or avoid mentioning a basis at all using `LinearMap.det`.
-/
irreducible_def detAux : Trunc (Basis ι A M) → (M →ₗ[A] M) →* A :=
Trunc.lift
(fun b : Basis ι A M => detMonoidHom.comp (toMatrixAlgEquiv b : (M →ₗ[A] M) →* Matrix ι ι A))
fun b c => MonoidHom.ext <| det_toMatrix_eq_det_toMatrix b c
/-- Unfold lemma for `detAux`.
See also `detAux_def''` which allows you to vary the basis.
-/
theorem detAux_def' (b : Basis ι A M) (f : M →ₗ[A] M) :
LinearMap.detAux (Trunc.mk b) f = Matrix.det (LinearMap.toMatrix b b f) := by
rw [detAux]
rfl
theorem detAux_def'' {ι' : Type*} [Fintype ι'] [DecidableEq ι'] (tb : Trunc <| Basis ι A M)
(b' : Basis ι' A M) (f : M →ₗ[A] M) :
LinearMap.detAux tb f = Matrix.det (LinearMap.toMatrix b' b' f) := by
induction tb using Trunc.induction_on with
| h b => rw [detAux_def', det_toMatrix_eq_det_toMatrix b b']
@[simp]
theorem detAux_id (b : Trunc <| Basis ι A M) : LinearMap.detAux b LinearMap.id = 1 :=
(LinearMap.detAux b).map_one
@[simp]
theorem detAux_comp (b : Trunc <| Basis ι A M) (f g : M →ₗ[A] M) :
LinearMap.detAux b (f.comp g) = LinearMap.detAux b f * LinearMap.detAux b g :=
(LinearMap.detAux b).map_mul f g
section
open scoped Classical in
-- Discourage the elaborator from unfolding `det` and producing a huge term by marking it
-- as irreducible.
/-- The determinant of an endomorphism independent of basis.
If there is no finite basis on `M`, the result is `1` instead.
-/
protected irreducible_def det : (M →ₗ[A] M) →* A :=
if H : ∃ s : Finset M, Nonempty (Basis s A M) then LinearMap.detAux (Trunc.mk H.choose_spec.some)
else 1
open scoped Classical in
theorem coe_det [DecidableEq M] :
⇑(LinearMap.det : (M →ₗ[A] M) →* A) =
if H : ∃ s : Finset M, Nonempty (Basis s A M) then
LinearMap.detAux (Trunc.mk H.choose_spec.some)
else 1 := by
ext
rw [LinearMap.det_def]
split_ifs
· congr -- use the correct `DecidableEq` instance
rfl
end
-- Auxiliary lemma, the `simp` normal form goes in the other direction
-- (using `LinearMap.det_toMatrix`)
theorem det_eq_det_toMatrix_of_finset [DecidableEq M] {s : Finset M} (b : Basis s A M)
(f : M →ₗ[A] M) : LinearMap.det f = Matrix.det (LinearMap.toMatrix b b f) := by
have : ∃ s : Finset M, Nonempty (Basis s A M) := ⟨s, ⟨b⟩⟩
rw [LinearMap.coe_det, dif_pos, detAux_def'' _ b] <;> assumption
@[simp]
theorem det_toMatrix (b : Basis ι A M) (f : M →ₗ[A] M) :
Matrix.det (toMatrix b b f) = LinearMap.det f := by
haveI := Classical.decEq M
rw [det_eq_det_toMatrix_of_finset b.reindexFinsetRange,
det_toMatrix_eq_det_toMatrix b b.reindexFinsetRange]
@[simp]
theorem det_toMatrix' {ι : Type*} [Fintype ι] [DecidableEq ι] (f : (ι → A) →ₗ[A] ι → A) :
Matrix.det (LinearMap.toMatrix' f) = LinearMap.det f := by simp [← toMatrix_eq_toMatrix']
@[simp]
theorem det_toLin (b : Basis ι R M) (f : Matrix ι ι R) :
LinearMap.det (Matrix.toLin b b f) = f.det := by
rw [← LinearMap.det_toMatrix b, LinearMap.toMatrix_toLin]
@[simp]
theorem det_toLin' (f : Matrix ι ι R) : LinearMap.det (Matrix.toLin' f) = Matrix.det f := by
simp only [← toLin_eq_toLin', det_toLin]
/-- To show `P (LinearMap.det f)` it suffices to consider `P (Matrix.det (toMatrix _ _ f))` and
`P 1`. -/
@[elab_as_elim]
theorem det_cases [DecidableEq M] {P : A → Prop} (f : M →ₗ[A] M)
(hb : ∀ (s : Finset M) (b : Basis s A M), P (Matrix.det (toMatrix b b f))) (h1 : P 1) :
P (LinearMap.det f) := by
classical
if H : ∃ s : Finset M, Nonempty (Basis s A M) then
obtain ⟨s, ⟨b⟩⟩ := H
rw [← det_toMatrix b]
exact hb s b
else
rwa [LinearMap.det_def, dif_neg H]
@[simp]
theorem det_comp (f g : M →ₗ[A] M) :
LinearMap.det (f.comp g) = LinearMap.det f * LinearMap.det g :=
LinearMap.det.map_mul f g
@[simp]
theorem det_id : LinearMap.det (LinearMap.id : M →ₗ[A] M) = 1 :=
LinearMap.det.map_one
/-- Multiplying a map by a scalar `c` multiplies its determinant by `c ^ dim M`. -/
@[simp]
theorem det_smul [Module.Free A M] (c : A) (f : M →ₗ[A] M) :
LinearMap.det (c • f) = c ^ Module.finrank A M * LinearMap.det f := by
nontriviality A
by_cases H : ∃ s : Finset M, Nonempty (Basis s A M)
· have : Module.Finite A M := by
rcases H with ⟨s, ⟨hs⟩⟩
exact Module.Finite.of_basis hs
simp only [← det_toMatrix (Module.finBasis A M), LinearEquiv.map_smul,
Fintype.card_fin, Matrix.det_smul]
· classical
have : Module.finrank A M = 0 := finrank_eq_zero_of_not_exists_basis H
simp [coe_det, H, this]
theorem det_zero' {ι : Type*} [Finite ι] [Nonempty ι] (b : Basis ι A M) :
LinearMap.det (0 : M →ₗ[A] M) = 0 := by
haveI := Classical.decEq ι
cases nonempty_fintype ι
rwa [← det_toMatrix b, LinearEquiv.map_zero, det_zero]
/-- In a finite-dimensional vector space, the zero map has determinant `1` in dimension `0`,
and `0` otherwise. We give a formula that also works in infinite dimension, where we define
the determinant to be `1`. -/
@[simp]
theorem det_zero [Module.Free A M] :
LinearMap.det (0 : M →ₗ[A] M) = (0 : A) ^ Module.finrank A M := by
simp only [← zero_smul A (1 : M →ₗ[A] M), det_smul, mul_one, MonoidHom.map_one]
theorem det_eq_one_of_not_module_finite (h : ¬Module.Finite R M) (f : M →ₗ[R] M) : f.det = 1 := by
rw [LinearMap.det, dif_neg, MonoidHom.one_apply]
exact fun ⟨_, ⟨b⟩⟩ ↦ h (Module.Finite.of_basis b)
theorem det_eq_one_of_subsingleton [Subsingleton M] (f : M →ₗ[R] M) :
LinearMap.det (f : M →ₗ[R] M) = 1 := by
have b : Basis (Fin 0) R M := Basis.empty M
rw [← f.det_toMatrix b]
exact Matrix.det_isEmpty
theorem det_eq_one_of_finrank_eq_zero {𝕜 : Type*} [Field 𝕜] {M : Type*} [AddCommGroup M]
[Module 𝕜 M] (h : Module.finrank 𝕜 M = 0) (f : M →ₗ[𝕜] M) :
LinearMap.det (f : M →ₗ[𝕜] M) = 1 := by
classical
refine @LinearMap.det_cases M _ 𝕜 _ _ _ (fun t => t = 1) f ?_ rfl
intro s b
have : IsEmpty s := by
rw [← Fintype.card_eq_zero_iff]
exact (Module.finrank_eq_card_basis b).symm.trans h
exact Matrix.det_isEmpty
/-- Conjugating a linear map by a linear equiv does not change its determinant. -/
@[simp]
theorem det_conj {N : Type*} [AddCommGroup N] [Module A N] (f : M →ₗ[A] M) (e : M ≃ₗ[A] N) :
LinearMap.det ((e : M →ₗ[A] N) ∘ₗ f ∘ₗ (e.symm : N →ₗ[A] M)) = LinearMap.det f := by
classical
by_cases H : ∃ s : Finset M, Nonempty (Basis s A M)
· rcases H with ⟨s, ⟨b⟩⟩
rw [← det_toMatrix b f, ← det_toMatrix (b.map e), toMatrix_comp (b.map e) b (b.map e),
toMatrix_comp (b.map e) b b, ← Matrix.mul_assoc, Matrix.det_conj_of_mul_eq_one]
· rw [← toMatrix_comp, LinearEquiv.comp_coe, e.symm_trans_self, LinearEquiv.refl_toLinearMap,
toMatrix_id]
· rw [← toMatrix_comp, LinearEquiv.comp_coe, e.self_trans_symm, LinearEquiv.refl_toLinearMap,
toMatrix_id]
· have H' : ¬∃ t : Finset N, Nonempty (Basis t A N) := by
contrapose! H
rcases H with ⟨s, ⟨b⟩⟩
exact ⟨_, ⟨(b.map e.symm).reindexFinsetRange⟩⟩
simp only [coe_det, H, H', MonoidHom.one_apply, dif_neg, not_false_eq_true]
/-- If a linear map is invertible, so is its determinant. -/
theorem isUnit_det {A : Type*} [CommRing A] [Module A M] (f : M →ₗ[A] M) (hf : IsUnit f) :
IsUnit (LinearMap.det f) := by
obtain ⟨g, hg⟩ : ∃ g, f.comp g = 1 := hf.exists_right_inv
have : LinearMap.det f * LinearMap.det g = 1 := by
simp only [← LinearMap.det_comp, hg, MonoidHom.map_one]
exact isUnit_of_mul_eq_one _ _ this
/-- If a linear map has determinant different from `1`, then the space is finite-dimensional. -/
theorem finiteDimensional_of_det_ne_one {𝕜 : Type*} [Field 𝕜] [Module 𝕜 M] (f : M →ₗ[𝕜] M)
(hf : LinearMap.det f ≠ 1) : FiniteDimensional 𝕜 M := by
by_cases H : ∃ s : Finset M, Nonempty (Basis s 𝕜 M)
· rcases H with ⟨s, ⟨hs⟩⟩
exact FiniteDimensional.of_fintype_basis hs
· classical simp [LinearMap.coe_det, H] at hf
/-- If the determinant of a map vanishes, then the map is not onto. -/
theorem range_lt_top_of_det_eq_zero {𝕜 : Type*} [Field 𝕜] [Module 𝕜 M] {f : M →ₗ[𝕜] M}
(hf : LinearMap.det f = 0) : LinearMap.range f < ⊤ := by
have : FiniteDimensional 𝕜 M := by simp [f.finiteDimensional_of_det_ne_one, hf]
contrapose hf
simp only [lt_top_iff_ne_top, Classical.not_not, ← isUnit_iff_range_eq_top] at hf
exact isUnit_iff_ne_zero.1 (f.isUnit_det hf)
/-- If the determinant of a map vanishes, then the map is not injective. -/
theorem bot_lt_ker_of_det_eq_zero {𝕜 : Type*} [Field 𝕜] [Module 𝕜 M] {f : M →ₗ[𝕜] M}
(hf : LinearMap.det f = 0) : ⊥ < LinearMap.ker f := by
have : FiniteDimensional 𝕜 M := by simp [f.finiteDimensional_of_det_ne_one, hf]
contrapose hf
simp only [bot_lt_iff_ne_bot, Classical.not_not, ← isUnit_iff_ker_eq_bot] at hf
exact isUnit_iff_ne_zero.1 (f.isUnit_det hf)
/-- When the function is over the base ring, the determinant is the evaluation at `1`. -/
@[simp] lemma det_ring (f : R →ₗ[R] R) : f.det = f 1 := by
simp [← det_toMatrix (Basis.singleton Unit R)]
lemma det_mulLeft (a : R) : (mulLeft R a).det = a := by simp
lemma det_mulRight (a : R) : (mulRight R a).det = a := by simp
theorem det_prodMap [Module.Free R M] [Module.Free R M'] [Module.Finite R M] [Module.Finite R M']
(f : Module.End R M) (f' : Module.End R M') :
(prodMap f f').det = f.det * f'.det := by
let b := Module.Free.chooseBasis R M
let b' := Module.Free.chooseBasis R M'
rw [← det_toMatrix (b.prod b'), ← det_toMatrix b, ← det_toMatrix b', toMatrix_prodMap,
det_fromBlocks_zero₂₁, det_toMatrix]
omit [DecidableEq ι] in
theorem det_pi [Module.Free R M] [Module.Finite R M] (f : ι → M →ₗ[R] M) :
(LinearMap.pi (fun i ↦ (f i).comp (LinearMap.proj i))).det = ∏ i, (f i).det := by
classical
let b := Module.Free.chooseBasis R M
let B := (Pi.basis (fun _ : ι ↦ b)).reindex <|
(Equiv.sigmaEquivProd _ _).trans (Equiv.prodComm _ _)
simp_rw [← LinearMap.det_toMatrix B, ← LinearMap.det_toMatrix b]
have : ((LinearMap.toMatrix B B) (LinearMap.pi fun i ↦ f i ∘ₗ LinearMap.proj i)) =
Matrix.blockDiagonal (fun i ↦ LinearMap.toMatrix b b (f i)) := by
ext ⟨i₁, i₂⟩ ⟨j₁, j₂⟩
unfold B
simp_rw [LinearMap.toMatrix_apply', Matrix.blockDiagonal_apply, Basis.coe_reindex,
Function.comp_apply, Basis.repr_reindex_apply, Equiv.symm_trans_apply, Equiv.prodComm_symm,
Equiv.prodComm_apply, Equiv.sigmaEquivProd_symm_apply, Prod.swap_prod_mk, Pi.basis_apply,
Pi.basis_repr, LinearMap.pi_apply, LinearMap.coe_comp, Function.comp_apply,
LinearMap.toMatrix_apply', LinearMap.coe_proj, Function.eval, Pi.single_apply]
split_ifs with h
· rw [h]
· simp only [map_zero, Finsupp.coe_zero, Pi.zero_apply]
rw [this, Matrix.det_blockDiagonal]
end LinearMap
namespace LinearEquiv
/-- On a `LinearEquiv`, the domain of `LinearMap.det` can be promoted to `Rˣ`. -/
protected def det : (M ≃ₗ[R] M) →* Rˣ :=
(Units.map (LinearMap.det : (M →ₗ[R] M) →* R)).comp
(LinearMap.GeneralLinearGroup.generalLinearEquiv R M).symm.toMonoidHom
@[simp]
theorem coe_det (f : M ≃ₗ[R] M) : ↑(LinearEquiv.det f) = LinearMap.det (f : M →ₗ[R] M) :=
rfl
@[simp]
theorem coe_inv_det (f : M ≃ₗ[R] M) : ↑(LinearEquiv.det f)⁻¹ = LinearMap.det (f.symm : M →ₗ[R] M) :=
rfl
@[simp]
theorem det_refl : LinearEquiv.det (LinearEquiv.refl R M) = 1 :=
Units.ext <| LinearMap.det_id
@[simp]
theorem det_trans (f g : M ≃ₗ[R] M) :
LinearEquiv.det (f.trans g) = LinearEquiv.det g * LinearEquiv.det f :=
map_mul _ g f
@[simp]
theorem det_symm (f : M ≃ₗ[R] M) : LinearEquiv.det f.symm = LinearEquiv.det f⁻¹ :=
map_inv _ f
/-- Conjugating a linear equiv by a linear equiv does not change its determinant. -/
@[simp]
theorem det_conj (f : M ≃ₗ[R] M) (e : M ≃ₗ[R] M') :
LinearEquiv.det ((e.symm.trans f).trans e) = LinearEquiv.det f := by
rw [← Units.eq_iff, coe_det, coe_det, ← comp_coe, ← comp_coe, LinearMap.det_conj]
attribute [irreducible] LinearEquiv.det
end LinearEquiv
/-- The determinants of a `LinearEquiv` and its inverse multiply to 1. -/
@[simp]
theorem LinearEquiv.det_mul_det_symm {A : Type*} [CommRing A] [Module A M] (f : M ≃ₗ[A] M) :
LinearMap.det (f : M →ₗ[A] M) * LinearMap.det (f.symm : M →ₗ[A] M) = 1 := by
simp [← LinearMap.det_comp]
/-- The determinants of a `LinearEquiv` and its inverse multiply to 1. -/
@[simp]
theorem LinearEquiv.det_symm_mul_det {A : Type*} [CommRing A] [Module A M] (f : M ≃ₗ[A] M) :
LinearMap.det (f.symm : M →ₗ[A] M) * LinearMap.det (f : M →ₗ[A] M) = 1 := by
simp [← LinearMap.det_comp]
-- Cannot be stated using `LinearMap.det` because `f` is not an endomorphism.
theorem LinearEquiv.isUnit_det (f : M ≃ₗ[R] M') (v : Basis ι R M) (v' : Basis ι R M') :
IsUnit (LinearMap.toMatrix v v' f).det := by
apply isUnit_det_of_left_inverse
simpa using (LinearMap.toMatrix_comp v v' v f.symm f).symm
/-- Specialization of `LinearEquiv.isUnit_det` -/
theorem LinearEquiv.isUnit_det' {A : Type*} [CommRing A] [Module A M] (f : M ≃ₗ[A] M) :
IsUnit (LinearMap.det (f : M →ₗ[A] M)) :=
isUnit_of_mul_eq_one _ _ f.det_mul_det_symm
/-- The determinant of `f.symm` is the inverse of that of `f` when `f` is a linear equiv. -/
theorem LinearEquiv.det_coe_symm {𝕜 : Type*} [Field 𝕜] [Module 𝕜 M] (f : M ≃ₗ[𝕜] M) :
LinearMap.det (f.symm : M →ₗ[𝕜] M) = (LinearMap.det (f : M →ₗ[𝕜] M))⁻¹ := by
field_simp [IsUnit.ne_zero f.isUnit_det']
/-- Builds a linear equivalence from a linear map whose determinant in some bases is a unit. -/
@[simps]
def LinearEquiv.ofIsUnitDet {f : M →ₗ[R] M'} {v : Basis ι R M} {v' : Basis ι R M'}
(h : IsUnit (LinearMap.toMatrix v v' f).det) : M ≃ₗ[R] M' where
toFun := f
map_add' := f.map_add
map_smul' := f.map_smul
invFun := toLin v' v (toMatrix v v' f)⁻¹
left_inv x :=
calc toLin v' v (toMatrix v v' f)⁻¹ (f x)
_ = toLin v v ((toMatrix v v' f)⁻¹ * toMatrix v v' f) x := by
rw [toLin_mul v v' v, toLin_toMatrix, LinearMap.comp_apply]
_ = x := by simp [h]
right_inv x :=
calc f (toLin v' v (toMatrix v v' f)⁻¹ x)
_ = toLin v' v' (toMatrix v v' f * (toMatrix v v' f)⁻¹) x := by
rw [toLin_mul v' v v', LinearMap.comp_apply, toLin_toMatrix v v']
_ = x := by simp [h]
@[simp]
theorem LinearEquiv.coe_ofIsUnitDet {f : M →ₗ[R] M'} {v : Basis ι R M} {v' : Basis ι R M'}
(h : IsUnit (LinearMap.toMatrix v v' f).det) :
(LinearEquiv.ofIsUnitDet h : M →ₗ[R] M') = f := by
ext x
rfl
/-- Builds a linear equivalence from a linear map on a finite-dimensional vector space whose
determinant is nonzero. -/
abbrev LinearMap.equivOfDetNeZero {𝕜 : Type*} [Field 𝕜] {M : Type*} [AddCommGroup M] [Module 𝕜 M]
[FiniteDimensional 𝕜 M] (f : M →ₗ[𝕜] M) (hf : LinearMap.det f ≠ 0) : M ≃ₗ[𝕜] M :=
have : IsUnit (LinearMap.toMatrix (Module.finBasis 𝕜 M)
(Module.finBasis 𝕜 M) f).det := by
rw [LinearMap.det_toMatrix]
exact isUnit_iff_ne_zero.2 hf
LinearEquiv.ofIsUnitDet this
theorem LinearMap.associated_det_of_eq_comp (e : M ≃ₗ[R] M) (f f' : M →ₗ[R] M)
(h : ∀ x, f x = f' (e x)) : Associated (LinearMap.det f) (LinearMap.det f') := by
suffices Associated (LinearMap.det (f' ∘ₗ ↑e)) (LinearMap.det f') by
convert this using 2
ext x
exact h x
rw [← mul_one (LinearMap.det f'), LinearMap.det_comp]
exact Associated.mul_left _ (associated_one_iff_isUnit.mpr e.isUnit_det')
theorem LinearMap.associated_det_comp_equiv {N : Type*} [AddCommGroup N] [Module R N]
(f : N →ₗ[R] M) (e e' : M ≃ₗ[R] N) :
Associated (LinearMap.det (f ∘ₗ ↑e)) (LinearMap.det (f ∘ₗ ↑e')) := by
refine LinearMap.associated_det_of_eq_comp (e.trans e'.symm) _ _ ?_
intro x
simp only [LinearMap.comp_apply, LinearEquiv.coe_coe, LinearEquiv.trans_apply,
LinearEquiv.apply_symm_apply]
/-- The determinant of a family of vectors with respect to some basis, as an alternating
multilinear map. -/
nonrec def Basis.det : M [⋀^ι]→ₗ[R] R where
toMultilinearMap :=
MultilinearMap.mk' (fun v ↦ det (e.toMatrix v))
(fun v i x y ↦ by
simp only [e.toMatrix_update, map_add, Finsupp.coe_add, det_updateCol_add])
(fun u i c x ↦ by
simp only [e.toMatrix_update, Algebra.id.smul_eq_mul, LinearEquiv.map_smul]
apply det_updateCol_smul)
map_eq_zero_of_eq' := by
intro v i j h hij
dsimp
rw [← Function.update_eq_self i v, h, ← det_transpose, e.toMatrix_update, ← updateRow_transpose,
← e.toMatrix_transpose_apply]
apply det_zero_of_row_eq hij
rw [updateRow_ne hij.symm, updateRow_self]
theorem Basis.det_apply (v : ι → M) : e.det v = Matrix.det (e.toMatrix v) :=
rfl
theorem Basis.det_self : e.det e = 1 := by simp [e.det_apply]
@[simp]
theorem Basis.det_isEmpty [IsEmpty ι] : e.det = AlternatingMap.constOfIsEmpty R M ι 1 := by
ext v
exact Matrix.det_isEmpty
/-- `Basis.det` is not the zero map. -/
theorem Basis.det_ne_zero [Nontrivial R] : e.det ≠ 0 := fun h => by simpa [h] using e.det_self
theorem Basis.smul_det {G} [Group G] [DistribMulAction G M] [SMulCommClass G R M]
(g : G) (v : ι → M) :
(g • e).det v = e.det (g⁻¹ • v) := by
simp_rw [det_apply, toMatrix_smul_left]
theorem is_basis_iff_det {v : ι → M} :
LinearIndependent R v ∧ span R (Set.range v) = ⊤ ↔ IsUnit (e.det v) := by
constructor
· rintro ⟨hli, hspan⟩
set v' := Basis.mk hli hspan.ge
rw [e.det_apply]
convert LinearEquiv.isUnit_det (LinearEquiv.refl R M) v' e using 2
ext i j
simp [v']
· intro h
rw [Basis.det_apply, Basis.toMatrix_eq_toMatrix_constr] at h
set v' := Basis.map e (LinearEquiv.ofIsUnitDet h) with v'_def
have : ⇑v' = v := by
ext i
rw [v'_def, Basis.map_apply, LinearEquiv.ofIsUnitDet_apply, e.constr_basis]
rw [← this]
exact ⟨v'.linearIndependent, v'.span_eq⟩
theorem Basis.isUnit_det (e' : Basis ι R M) : IsUnit (e.det e') :=
(is_basis_iff_det e).mp ⟨e'.linearIndependent, e'.span_eq⟩
/-- Any alternating map to `R` where `ι` has the cardinality of a basis equals the determinant
map with respect to that basis, multiplied by the value of that alternating map on that basis. -/
theorem AlternatingMap.eq_smul_basis_det (f : M [⋀^ι]→ₗ[R] R) : f = f e • e.det := by
refine Basis.ext_alternating e fun i h => ?_
let σ : Equiv.Perm ι := Equiv.ofBijective i (Finite.injective_iff_bijective.1 h)
change f (e ∘ σ) = (f e • e.det) (e ∘ σ)
simp [AlternatingMap.map_perm, Basis.det_self]
@[simp]
theorem AlternatingMap.map_basis_eq_zero_iff {ι : Type*} [Finite ι] (e : Basis ι R M)
(f : M [⋀^ι]→ₗ[R] R) : f e = 0 ↔ f = 0 :=
⟨fun h => by
cases nonempty_fintype ι
letI := Classical.decEq ι
simpa [h] using f.eq_smul_basis_det e,
fun h => h.symm ▸ AlternatingMap.zero_apply _⟩
theorem AlternatingMap.map_basis_ne_zero_iff {ι : Type*} [Finite ι] (e : Basis ι R M)
(f : M [⋀^ι]→ₗ[R] R) : f e ≠ 0 ↔ f ≠ 0 :=
not_congr <| f.map_basis_eq_zero_iff e
variable {A : Type*} [CommRing A] [Module A M]
@[simp]
theorem Basis.det_comp (e : Basis ι A M) (f : M →ₗ[A] M) (v : ι → M) :
e.det (f ∘ v) = (LinearMap.det f) * e.det v := by
rw [Basis.det_apply, Basis.det_apply, ← f.det_toMatrix e, ← Matrix.det_mul,
e.toMatrix_eq_toMatrix_constr (f ∘ v), e.toMatrix_eq_toMatrix_constr v, ← toMatrix_comp,
e.constr_comp]
@[simp]
theorem Basis.det_comp_basis [Module A M'] (b : Basis ι A M) (b' : Basis ι A M') (f : M →ₗ[A] M') :
b'.det (f ∘ b) = LinearMap.det (f ∘ₗ (b'.equiv b (Equiv.refl ι) : M' →ₗ[A] M)) := by
rw [Basis.det_apply, ← LinearMap.det_toMatrix b', LinearMap.toMatrix_comp _ b, Matrix.det_mul,
LinearMap.toMatrix_basis_equiv, Matrix.det_one, mul_one]
congr 1; ext i j
rw [Basis.toMatrix_apply, LinearMap.toMatrix_apply, Function.comp_apply]
@[simp]
theorem Basis.det_basis (b : Basis ι A M) (b' : Basis ι A M) :
LinearMap.det (b'.equiv b (Equiv.refl ι)).toLinearMap = b'.det b :=
(b.det_comp_basis b' (LinearMap.id)).symm
theorem Basis.det_inv (b : Basis ι A M) (b' : Basis ι A M) :
(b.isUnit_det b').unit⁻¹ = b'.det b := by
rw [← Units.mul_eq_one_iff_inv_eq, IsUnit.unit_spec, ← Basis.det_basis, ← Basis.det_basis]
exact LinearEquiv.det_mul_det_symm _
theorem Basis.det_reindex {ι' : Type*} [Fintype ι'] [DecidableEq ι'] (b : Basis ι R M) (v : ι' → M)
(e : ι ≃ ι') : (b.reindex e).det v = b.det (v ∘ e) := by
rw [Basis.det_apply, Basis.toMatrix_reindex', det_reindexAlgEquiv, Basis.det_apply]
theorem Basis.det_reindex' {ι' : Type*} [Fintype ι'] [DecidableEq ι'] (b : Basis ι R M)
(e : ι ≃ ι') : (b.reindex e).det = b.det.domDomCongr e :=
AlternatingMap.ext fun _ => Basis.det_reindex _ _ _
theorem Basis.det_reindex_symm {ι' : Type*} [Fintype ι'] [DecidableEq ι'] (b : Basis ι R M)
(v : ι → M) (e : ι' ≃ ι) : (b.reindex e.symm).det (v ∘ e) = b.det v := by
rw [Basis.det_reindex, Function.comp_assoc, e.self_comp_symm, Function.comp_id]
@[simp]
theorem Basis.det_map (b : Basis ι R M) (f : M ≃ₗ[R] M') (v : ι → M') :
(b.map f).det v = b.det (f.symm ∘ v) := by
rw [Basis.det_apply, Basis.toMatrix_map, Basis.det_apply]
theorem Basis.det_map' (b : Basis ι R M) (f : M ≃ₗ[R] M') :
(b.map f).det = b.det.compLinearMap f.symm :=
AlternatingMap.ext <| b.det_map f
@[simp]
theorem Pi.basisFun_det : (Pi.basisFun R ι).det = Matrix.detRowAlternating := by
ext M
| rw [Basis.det_apply, Basis.coePiBasisFun.toMatrix_eq_transpose, det_transpose]
theorem Pi.basisFun_det_apply (v : ι → ι → R) :
| Mathlib/LinearAlgebra/Determinant.lean | 619 | 621 |
/-
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, Kim Morrison, Jens Wagemaker
-/
import Mathlib.Algebra.Order.Group.Finset
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Algebra.Polynomial.Eval.SMul
import Mathlib.Algebra.Polynomial.Roots
import Mathlib.RingTheory.EuclideanDomain
import Mathlib.RingTheory.UniqueFactorizationDomain.NormalizedFactors
/-!
# Theory of univariate polynomials
This file starts looking like the ring theory of $R[X]$
-/
noncomputable section
open Polynomial
namespace Polynomial
universe u v w y z
variable {R : Type u} {S : Type v} {k : Type y} {A : Type z} {a b : R} {n : ℕ}
section CommRing
variable [CommRing R]
theorem rootMultiplicity_sub_one_le_derivative_rootMultiplicity_of_ne_zero
(p : R[X]) (t : R) (hnezero : derivative p ≠ 0) :
p.rootMultiplicity t - 1 ≤ p.derivative.rootMultiplicity t :=
(le_rootMultiplicity_iff hnezero).2 <|
pow_sub_one_dvd_derivative_of_pow_dvd (p.pow_rootMultiplicity_dvd t)
theorem derivative_rootMultiplicity_of_root_of_mem_nonZeroDivisors
{p : R[X]} {t : R} (hpt : Polynomial.IsRoot p t)
(hnzd : (p.rootMultiplicity t : R) ∈ nonZeroDivisors R) :
(derivative p).rootMultiplicity t = p.rootMultiplicity t - 1 := by
by_cases h : p = 0
· simp only [h, map_zero, rootMultiplicity_zero]
obtain ⟨g, hp, hndvd⟩ := p.exists_eq_pow_rootMultiplicity_mul_and_not_dvd h t
set m := p.rootMultiplicity t
have hm : m - 1 + 1 = m := Nat.sub_add_cancel <| (rootMultiplicity_pos h).2 hpt
have hndvd : ¬(X - C t) ^ m ∣ derivative p := by
rw [hp, derivative_mul, dvd_add_left (dvd_mul_right _ _),
derivative_X_sub_C_pow, ← hm, pow_succ, hm, mul_comm (C _), mul_assoc,
dvd_cancel_left_mem_nonZeroDivisors (monic_X_sub_C t |>.pow _ |>.mem_nonZeroDivisors)]
rw [dvd_iff_isRoot, IsRoot] at hndvd ⊢
rwa [eval_mul, eval_C, mul_left_mem_nonZeroDivisors_eq_zero_iff hnzd]
have hnezero : derivative p ≠ 0 := fun h ↦ hndvd (by rw [h]; exact dvd_zero _)
exact le_antisymm (by rwa [rootMultiplicity_le_iff hnezero, hm])
(rootMultiplicity_sub_one_le_derivative_rootMultiplicity_of_ne_zero _ t hnezero)
theorem isRoot_iterate_derivative_of_lt_rootMultiplicity {p : R[X]} {t : R} {n : ℕ}
(hn : n < p.rootMultiplicity t) : (derivative^[n] p).IsRoot t :=
dvd_iff_isRoot.mp <| (dvd_pow_self _ <| Nat.sub_ne_zero_of_lt hn).trans
(pow_sub_dvd_iterate_derivative_of_pow_dvd _ <| p.pow_rootMultiplicity_dvd t)
open Finset in
theorem eval_iterate_derivative_rootMultiplicity {p : R[X]} {t : R} :
(derivative^[p.rootMultiplicity t] p).eval t =
(p.rootMultiplicity t).factorial • (p /ₘ (X - C t) ^ p.rootMultiplicity t).eval t := by
set m := p.rootMultiplicity t with hm
conv_lhs => rw [← p.pow_mul_divByMonic_rootMultiplicity_eq t, ← hm]
rw [iterate_derivative_mul, eval_finset_sum, sum_eq_single_of_mem _ (mem_range.mpr m.succ_pos)]
· rw [m.choose_zero_right, one_smul, eval_mul, m.sub_zero, iterate_derivative_X_sub_pow_self,
eval_natCast, nsmul_eq_mul]; rfl
· intro b hb hb0
rw [iterate_derivative_X_sub_pow, eval_smul, eval_mul, eval_smul, eval_pow,
Nat.sub_sub_self (mem_range_succ_iff.mp hb), eval_sub, eval_X, eval_C, sub_self,
zero_pow hb0, smul_zero, zero_mul, smul_zero]
theorem lt_rootMultiplicity_of_isRoot_iterate_derivative_of_mem_nonZeroDivisors
{p : R[X]} {t : R} {n : ℕ} (h : p ≠ 0)
(hroot : ∀ m ≤ n, (derivative^[m] p).IsRoot t)
(hnzd : (n.factorial : R) ∈ nonZeroDivisors R) :
n < p.rootMultiplicity t := by
by_contra! h'
replace hroot := hroot _ h'
simp only [IsRoot, eval_iterate_derivative_rootMultiplicity] at hroot
obtain ⟨q, hq⟩ := Nat.cast_dvd_cast (α := R) <| Nat.factorial_dvd_factorial h'
rw [hq, mul_mem_nonZeroDivisors] at hnzd
rw [nsmul_eq_mul, mul_left_mem_nonZeroDivisors_eq_zero_iff hnzd.1] at hroot
exact eval_divByMonic_pow_rootMultiplicity_ne_zero t h hroot
theorem lt_rootMultiplicity_of_isRoot_iterate_derivative_of_mem_nonZeroDivisors'
{p : R[X]} {t : R} {n : ℕ} (h : p ≠ 0)
(hroot : ∀ m ≤ n, (derivative^[m] p).IsRoot t)
(hnzd : ∀ m ≤ n, m ≠ 0 → (m : R) ∈ nonZeroDivisors R) :
n < p.rootMultiplicity t := by
apply lt_rootMultiplicity_of_isRoot_iterate_derivative_of_mem_nonZeroDivisors h hroot
clear hroot
induction n with
| zero =>
simp only [Nat.factorial_zero, Nat.cast_one]
exact Submonoid.one_mem _
| succ n ih =>
rw [Nat.factorial_succ, Nat.cast_mul, mul_mem_nonZeroDivisors]
exact ⟨hnzd _ le_rfl n.succ_ne_zero, ih fun m h ↦ hnzd m (h.trans n.le_succ)⟩
theorem lt_rootMultiplicity_iff_isRoot_iterate_derivative_of_mem_nonZeroDivisors
{p : R[X]} {t : R} {n : ℕ} (h : p ≠ 0)
(hnzd : (n.factorial : R) ∈ nonZeroDivisors R) :
n < p.rootMultiplicity t ↔ ∀ m ≤ n, (derivative^[m] p).IsRoot t :=
⟨fun hn _ hm ↦ isRoot_iterate_derivative_of_lt_rootMultiplicity <| hm.trans_lt hn,
fun hr ↦ lt_rootMultiplicity_of_isRoot_iterate_derivative_of_mem_nonZeroDivisors h hr hnzd⟩
theorem lt_rootMultiplicity_iff_isRoot_iterate_derivative_of_mem_nonZeroDivisors'
{p : R[X]} {t : R} {n : ℕ} (h : p ≠ 0)
(hnzd : ∀ m ≤ n, m ≠ 0 → (m : R) ∈ nonZeroDivisors R) :
n < p.rootMultiplicity t ↔ ∀ m ≤ n, (derivative^[m] p).IsRoot t :=
⟨fun hn _ hm ↦ isRoot_iterate_derivative_of_lt_rootMultiplicity <| Nat.lt_of_le_of_lt hm hn,
fun hr ↦ lt_rootMultiplicity_of_isRoot_iterate_derivative_of_mem_nonZeroDivisors' h hr hnzd⟩
theorem one_lt_rootMultiplicity_iff_isRoot_iterate_derivative
{p : R[X]} {t : R} (h : p ≠ 0) :
1 < p.rootMultiplicity t ↔ ∀ m ≤ 1, (derivative^[m] p).IsRoot t :=
lt_rootMultiplicity_iff_isRoot_iterate_derivative_of_mem_nonZeroDivisors h
(by rw [Nat.factorial_one, Nat.cast_one]; exact Submonoid.one_mem _)
theorem one_lt_rootMultiplicity_iff_isRoot
{p : R[X]} {t : R} (h : p ≠ 0) :
1 < p.rootMultiplicity t ↔ p.IsRoot t ∧ (derivative p).IsRoot t := by
rw [one_lt_rootMultiplicity_iff_isRoot_iterate_derivative h]
refine ⟨fun h ↦ ⟨h 0 (by norm_num), h 1 (by norm_num)⟩, fun ⟨h0, h1⟩ m hm ↦ ?_⟩
obtain (_|_|m) := m
exacts [h0, h1, by omega]
end CommRing
section IsDomain
variable [CommRing R] [IsDomain R]
theorem one_lt_rootMultiplicity_iff_isRoot_gcd
[GCDMonoid R[X]] {p : R[X]} {t : R} (h : p ≠ 0) :
1 < p.rootMultiplicity t ↔ (gcd p (derivative p)).IsRoot t := by
simp_rw [one_lt_rootMultiplicity_iff_isRoot h, ← dvd_iff_isRoot, dvd_gcd_iff]
theorem derivative_rootMultiplicity_of_root [CharZero R] {p : R[X]} {t : R} (hpt : p.IsRoot t) :
p.derivative.rootMultiplicity t = p.rootMultiplicity t - 1 := by
by_cases h : p = 0
· rw [h, map_zero, rootMultiplicity_zero]
exact derivative_rootMultiplicity_of_root_of_mem_nonZeroDivisors hpt <|
mem_nonZeroDivisors_of_ne_zero <| Nat.cast_ne_zero.2 ((rootMultiplicity_pos h).2 hpt).ne'
theorem rootMultiplicity_sub_one_le_derivative_rootMultiplicity [CharZero R] (p : R[X]) (t : R) :
p.rootMultiplicity t - 1 ≤ p.derivative.rootMultiplicity t := by
by_cases h : p.IsRoot t
· exact (derivative_rootMultiplicity_of_root h).symm.le
· rw [rootMultiplicity_eq_zero h, zero_tsub]
exact zero_le _
theorem lt_rootMultiplicity_of_isRoot_iterate_derivative
[CharZero R] {p : R[X]} {t : R} {n : ℕ} (h : p ≠ 0)
(hroot : ∀ m ≤ n, (derivative^[m] p).IsRoot t) :
n < p.rootMultiplicity t :=
lt_rootMultiplicity_of_isRoot_iterate_derivative_of_mem_nonZeroDivisors h hroot <|
mem_nonZeroDivisors_of_ne_zero <| Nat.cast_ne_zero.2 <| Nat.factorial_ne_zero n
theorem lt_rootMultiplicity_iff_isRoot_iterate_derivative
[CharZero R] {p : R[X]} {t : R} {n : ℕ} (h : p ≠ 0) :
n < p.rootMultiplicity t ↔ ∀ m ≤ n, (derivative^[m] p).IsRoot t :=
⟨fun hn _ hm ↦ isRoot_iterate_derivative_of_lt_rootMultiplicity <| Nat.lt_of_le_of_lt hm hn,
fun hr ↦ lt_rootMultiplicity_of_isRoot_iterate_derivative h hr⟩
/-- A sufficient condition for the set of roots of a nonzero polynomial `f` to be a subset of the
set of roots of `g` is that `f` divides `f.derivative * g`. Over an algebraically closed field of
characteristic zero, this is also a necessary condition.
See `isRoot_of_isRoot_iff_dvd_derivative_mul` -/
theorem isRoot_of_isRoot_of_dvd_derivative_mul [CharZero R] {f g : R[X]} (hf0 : f ≠ 0)
(hfd : f ∣ f.derivative * g) {a : R} (haf : f.IsRoot a) : g.IsRoot a := by
rcases hfd with ⟨r, hr⟩
have hdf0 : derivative f ≠ 0 := by
contrapose! haf
rw [eq_C_of_derivative_eq_zero haf] at hf0 ⊢
exact not_isRoot_C _ _ <| C_ne_zero.mp hf0
by_contra hg
have hdfg0 : f.derivative * g ≠ 0 := mul_ne_zero hdf0 (by rintro rfl; simp at hg)
have hr' := congr_arg (rootMultiplicity a) hr
rw [rootMultiplicity_mul hdfg0, derivative_rootMultiplicity_of_root haf,
rootMultiplicity_eq_zero hg, add_zero, rootMultiplicity_mul (hr ▸ hdfg0), add_comm,
Nat.sub_eq_iff_eq_add (Nat.succ_le_iff.2 ((rootMultiplicity_pos hf0).2 haf))] at hr'
omega
section NormalizationMonoid
variable [NormalizationMonoid R]
instance instNormalizationMonoid : NormalizationMonoid R[X] where
normUnit p :=
⟨C ↑(normUnit p.leadingCoeff), C ↑(normUnit p.leadingCoeff)⁻¹, by
rw [← RingHom.map_mul, Units.mul_inv, C_1], by rw [← RingHom.map_mul, Units.inv_mul, C_1]⟩
normUnit_zero := Units.ext (by simp)
normUnit_mul hp0 hq0 :=
Units.ext
(by
dsimp
rw [Ne, ← leadingCoeff_eq_zero] at *
rw [leadingCoeff_mul, normUnit_mul hp0 hq0, Units.val_mul, C_mul])
normUnit_coe_units u :=
Units.ext
(by
dsimp
rw [← mul_one u⁻¹, Units.val_mul, Units.eq_inv_mul_iff_mul_eq]
rcases Polynomial.isUnit_iff.1 ⟨u, rfl⟩ with ⟨_, ⟨w, rfl⟩, h2⟩
rw [← h2, leadingCoeff_C, normUnit_coe_units, ← C_mul, Units.mul_inv, C_1]
rfl)
@[simp]
theorem coe_normUnit {p : R[X]} : (normUnit p : R[X]) = C ↑(normUnit p.leadingCoeff) := by
simp [normUnit]
@[simp]
theorem leadingCoeff_normalize (p : R[X]) :
leadingCoeff (normalize p) = normalize (leadingCoeff p) := by simp [normalize_apply]
theorem Monic.normalize_eq_self {p : R[X]} (hp : p.Monic) : normalize p = p := by
simp only [Polynomial.coe_normUnit, normalize_apply, hp.leadingCoeff, normUnit_one,
Units.val_one, Polynomial.C.map_one, mul_one]
theorem roots_normalize {p : R[X]} : (normalize p).roots = p.roots := by
rw [normalize_apply, mul_comm, coe_normUnit, roots_C_mul _ (normUnit (leadingCoeff p)).ne_zero]
theorem normUnit_X : normUnit (X : Polynomial R) = 1 := by
have := coe_normUnit (R := R) (p := X)
rwa [leadingCoeff_X, normUnit_one, Units.val_one, map_one, Units.val_eq_one] at this
theorem X_eq_normalize : (X : Polynomial R) = normalize X := by
simp only [normalize_apply, normUnit_X, Units.val_one, mul_one]
end NormalizationMonoid
end IsDomain
section DivisionRing
variable [DivisionRing R] {p q : R[X]}
theorem degree_pos_of_ne_zero_of_nonunit (hp0 : p ≠ 0) (hp : ¬IsUnit p) : 0 < degree p :=
lt_of_not_ge fun h => by
rw [eq_C_of_degree_le_zero h] at hp0 hp
exact hp (IsUnit.map C (IsUnit.mk0 (coeff p 0) (mt C_inj.2 (by simpa using hp0))))
@[simp]
protected theorem map_eq_zero [Semiring S] [Nontrivial S] (f : R →+* S) : p.map f = 0 ↔ p = 0 := by
simp only [Polynomial.ext_iff]
congr!
simp [map_eq_zero, coeff_map, coeff_zero]
theorem map_ne_zero [Semiring S] [Nontrivial S] {f : R →+* S} (hp : p ≠ 0) : p.map f ≠ 0 :=
mt (Polynomial.map_eq_zero f).1 hp
@[simp]
theorem degree_map [Semiring S] [Nontrivial S] (p : R[X]) (f : R →+* S) :
degree (p.map f) = degree p :=
p.degree_map_eq_of_injective f.injective
@[simp]
theorem natDegree_map [Semiring S] [Nontrivial S] (f : R →+* S) :
natDegree (p.map f) = natDegree p :=
natDegree_eq_of_degree_eq (degree_map _ f)
@[simp]
theorem leadingCoeff_map [Semiring S] [Nontrivial S] (f : R →+* S) :
leadingCoeff (p.map f) = f (leadingCoeff p) := by
simp only [← coeff_natDegree, coeff_map f, natDegree_map]
theorem monic_map_iff [Semiring S] [Nontrivial S] {f : R →+* S} {p : R[X]} :
(p.map f).Monic ↔ p.Monic := by
rw [Monic, leadingCoeff_map, ← f.map_one, Function.Injective.eq_iff f.injective, Monic]
end DivisionRing
section Field
variable [Field R] {p q : R[X]}
theorem isUnit_iff_degree_eq_zero : IsUnit p ↔ degree p = 0 :=
⟨degree_eq_zero_of_isUnit, fun h =>
have : degree p ≤ 0 := by simp [*, le_refl]
have hc : coeff p 0 ≠ 0 := fun hc => by
rw [eq_C_of_degree_le_zero this, hc] at h; simp only [map_zero] at h; contradiction
isUnit_iff_dvd_one.2
⟨C (coeff p 0)⁻¹, by
conv in p => rw [eq_C_of_degree_le_zero this]
rw [← C_mul, mul_inv_cancel₀ hc, C_1]⟩⟩
/-- Division of polynomials. See `Polynomial.divByMonic` for more details. -/
def div (p q : R[X]) :=
C (leadingCoeff q)⁻¹ * (p /ₘ (q * C (leadingCoeff q)⁻¹))
/-- Remainder of polynomial division. See `Polynomial.modByMonic` for more details. -/
def mod (p q : R[X]) :=
p %ₘ (q * C (leadingCoeff q)⁻¹)
private theorem quotient_mul_add_remainder_eq_aux (p q : R[X]) : q * div p q + mod p q = p := by
by_cases h : q = 0
· simp only [h, zero_mul, mod, modByMonic_zero, zero_add]
· conv =>
rhs
rw [← modByMonic_add_div p (monic_mul_leadingCoeff_inv h)]
rw [div, mod, add_comm, mul_assoc]
private theorem remainder_lt_aux (p : R[X]) (hq : q ≠ 0) : degree (mod p q) < degree q := by
rw [← degree_mul_leadingCoeff_inv q hq]
exact degree_modByMonic_lt p (monic_mul_leadingCoeff_inv hq)
instance : Div R[X] :=
⟨div⟩
instance : Mod R[X] :=
⟨mod⟩
theorem div_def : p / q = C (leadingCoeff q)⁻¹ * (p /ₘ (q * C (leadingCoeff q)⁻¹)) :=
rfl
theorem mod_def : p % q = p %ₘ (q * C (leadingCoeff q)⁻¹) := rfl
theorem modByMonic_eq_mod (p : R[X]) (hq : Monic q) : p %ₘ q = p % q :=
show p %ₘ q = p %ₘ (q * C (leadingCoeff q)⁻¹) by
simp only [Monic.def.1 hq, inv_one, mul_one, C_1]
theorem divByMonic_eq_div (p : R[X]) (hq : Monic q) : p /ₘ q = p / q :=
show p /ₘ q = C (leadingCoeff q)⁻¹ * (p /ₘ (q * C (leadingCoeff q)⁻¹)) by
simp only [Monic.def.1 hq, inv_one, C_1, one_mul, mul_one]
theorem mod_X_sub_C_eq_C_eval (p : R[X]) (a : R) : p % (X - C a) = C (p.eval a) :=
modByMonic_eq_mod p (monic_X_sub_C a) ▸ modByMonic_X_sub_C_eq_C_eval _ _
theorem mul_div_eq_iff_isRoot : (X - C a) * (p / (X - C a)) = p ↔ IsRoot p a :=
divByMonic_eq_div p (monic_X_sub_C a) ▸ mul_divByMonic_eq_iff_isRoot
instance instEuclideanDomain : EuclideanDomain R[X] :=
{ Polynomial.commRing,
Polynomial.nontrivial with
quotient := (· / ·)
quotient_zero := by simp [div_def]
remainder := (· % ·)
r := _
r_wellFounded := degree_lt_wf
quotient_mul_add_remainder_eq := quotient_mul_add_remainder_eq_aux
remainder_lt := fun _ _ hq => remainder_lt_aux _ hq
mul_left_not_lt := fun _ _ hq => not_lt_of_ge (degree_le_mul_left _ hq) }
theorem mod_eq_self_iff (hq0 : q ≠ 0) : p % q = p ↔ degree p < degree q :=
⟨fun h => h ▸ EuclideanDomain.mod_lt _ hq0, fun h => by
classical
have : ¬degree (q * C (leadingCoeff q)⁻¹) ≤ degree p :=
not_le_of_gt <| by rwa [degree_mul_leadingCoeff_inv q hq0]
rw [mod_def, modByMonic, dif_pos (monic_mul_leadingCoeff_inv hq0)]
unfold divModByMonicAux
dsimp
simp only [this, false_and, if_false]⟩
theorem div_eq_zero_iff (hq0 : q ≠ 0) : p / q = 0 ↔ degree p < degree q :=
⟨fun h => by
have := EuclideanDomain.div_add_mod p q
rwa [h, mul_zero, zero_add, mod_eq_self_iff hq0] at this,
fun h => by
have hlt : degree p < degree (q * C (leadingCoeff q)⁻¹) := by
rwa [degree_mul_leadingCoeff_inv q hq0]
have hm : Monic (q * C (leadingCoeff q)⁻¹) := monic_mul_leadingCoeff_inv hq0
rw [div_def, (divByMonic_eq_zero_iff hm).2 hlt, mul_zero]⟩
theorem degree_add_div (hq0 : q ≠ 0) (hpq : degree q ≤ degree p) :
degree q + degree (p / q) = degree p := by
have : degree (p % q) < degree (q * (p / q)) :=
calc
degree (p % q) < degree q := EuclideanDomain.mod_lt _ hq0
_ ≤ _ := degree_le_mul_left _ (mt (div_eq_zero_iff hq0).1 (not_lt_of_ge hpq))
conv_rhs =>
rw [← EuclideanDomain.div_add_mod p q, degree_add_eq_left_of_degree_lt this, degree_mul]
theorem degree_div_le (p q : R[X]) : degree (p / q) ≤ degree p := by
by_cases hq : q = 0
· simp [hq]
· rw [div_def, mul_comm, degree_mul_leadingCoeff_inv _ hq]; exact degree_divByMonic_le _ _
theorem degree_div_lt (hp : p ≠ 0) (hq : 0 < degree q) : degree (p / q) < degree p := by
have hq0 : q ≠ 0 := fun hq0 => by simp [hq0] at hq
rw [div_def, mul_comm, degree_mul_leadingCoeff_inv _ hq0]
exact degree_divByMonic_lt _ (monic_mul_leadingCoeff_inv hq0) hp
(by rw [degree_mul_leadingCoeff_inv _ hq0]; exact hq)
theorem isUnit_map [Field k] (f : R →+* k) : IsUnit (p.map f) ↔ IsUnit p := by
simp_rw [isUnit_iff_degree_eq_zero, degree_map]
theorem map_div [Field k] (f : R →+* k) : (p / q).map f = p.map f / q.map f := by
if hq0 : q = 0 then simp [hq0]
else
rw [div_def, div_def, Polynomial.map_mul, map_divByMonic f (monic_mul_leadingCoeff_inv hq0),
Polynomial.map_mul, map_C, leadingCoeff_map, map_inv₀]
theorem map_mod [Field k] (f : R →+* k) : (p % q).map f = p.map f % q.map f := by
by_cases hq0 : q = 0
· simp [hq0]
· rw [mod_def, mod_def, leadingCoeff_map f, ← map_inv₀ f, ← map_C f, ← Polynomial.map_mul f,
map_modByMonic f (monic_mul_leadingCoeff_inv hq0)]
lemma natDegree_mod_lt [Field k] (p : k[X]) {q : k[X]} (hq : q.natDegree ≠ 0) :
(p % q).natDegree < q.natDegree := by
have hq' : q.leadingCoeff ≠ 0 := by
rw [leadingCoeff_ne_zero]
contrapose! hq
simp [hq]
rw [mod_def]
refine (natDegree_modByMonic_lt p ?_ ?_).trans_le ?_
· refine monic_mul_C_of_leadingCoeff_mul_eq_one ?_
rw [mul_inv_eq_one₀ hq']
· contrapose! hq
rw [← natDegree_mul_C_eq_of_mul_eq_one ((inv_mul_eq_one₀ hq').mpr rfl)]
simp [hq]
· exact natDegree_mul_C_le q q.leadingCoeff⁻¹
section
open EuclideanDomain
theorem gcd_map [Field k] [DecidableEq R] [DecidableEq k] (f : R →+* k) :
gcd (p.map f) (q.map f) = (gcd p q).map f :=
GCD.induction p q (fun x => by simp_rw [Polynomial.map_zero, EuclideanDomain.gcd_zero_left])
fun x y _ ih => by rw [gcd_val, ← map_mod, ih, ← gcd_val]
end
theorem eval₂_gcd_eq_zero [CommSemiring k] [DecidableEq R]
{ϕ : R →+* k} {f g : R[X]} {α : k} (hf : f.eval₂ ϕ α = 0)
(hg : g.eval₂ ϕ α = 0) : (EuclideanDomain.gcd f g).eval₂ ϕ α = 0 := by
rw [EuclideanDomain.gcd_eq_gcd_ab f g, Polynomial.eval₂_add, Polynomial.eval₂_mul,
Polynomial.eval₂_mul, hf, hg, zero_mul, zero_mul, zero_add]
theorem eval_gcd_eq_zero [DecidableEq R] {f g : R[X]} {α : R}
(hf : f.eval α = 0) (hg : g.eval α = 0) : (EuclideanDomain.gcd f g).eval α = 0 :=
eval₂_gcd_eq_zero hf hg
theorem root_left_of_root_gcd [CommSemiring k] [DecidableEq R] {ϕ : R →+* k} {f g : R[X]} {α : k}
(hα : (EuclideanDomain.gcd f g).eval₂ ϕ α = 0) : f.eval₂ ϕ α = 0 := by
obtain ⟨p, hp⟩ := EuclideanDomain.gcd_dvd_left f g
rw [hp, Polynomial.eval₂_mul, hα, zero_mul]
theorem root_right_of_root_gcd [CommSemiring k] [DecidableEq R] {ϕ : R →+* k} {f g : R[X]} {α : k}
(hα : (EuclideanDomain.gcd f g).eval₂ ϕ α = 0) : g.eval₂ ϕ α = 0 := by
obtain ⟨p, hp⟩ := EuclideanDomain.gcd_dvd_right f g
rw [hp, Polynomial.eval₂_mul, hα, zero_mul]
theorem root_gcd_iff_root_left_right [CommSemiring k] [DecidableEq R]
{ϕ : R →+* k} {f g : R[X]} {α : k} :
(EuclideanDomain.gcd f g).eval₂ ϕ α = 0 ↔ f.eval₂ ϕ α = 0 ∧ g.eval₂ ϕ α = 0 :=
⟨fun h => ⟨root_left_of_root_gcd h, root_right_of_root_gcd h⟩, fun h => eval₂_gcd_eq_zero h.1 h.2⟩
theorem isRoot_gcd_iff_isRoot_left_right [DecidableEq R] {f g : R[X]} {α : R} :
(EuclideanDomain.gcd f g).IsRoot α ↔ f.IsRoot α ∧ g.IsRoot α :=
root_gcd_iff_root_left_right
theorem isCoprime_map [Field k] (f : R →+* k) : IsCoprime (p.map f) (q.map f) ↔ IsCoprime p q := by
classical
rw [← EuclideanDomain.gcd_isUnit_iff, ← EuclideanDomain.gcd_isUnit_iff, gcd_map, isUnit_map]
theorem mem_roots_map [CommRing k] [IsDomain k] {f : R →+* k} {x : k} (hp : p ≠ 0) :
x ∈ (p.map f).roots ↔ p.eval₂ f x = 0 := by
rw [mem_roots (map_ne_zero hp), IsRoot, Polynomial.eval_map]
theorem rootSet_monomial [CommRing S] [IsDomain S] [Algebra R S] {n : ℕ} (hn : n ≠ 0) {a : R}
(ha : a ≠ 0) : (monomial n a).rootSet S = {0} := by
classical
rw [rootSet, aroots_monomial ha,
Multiset.toFinset_nsmul _ _ hn, Multiset.toFinset_singleton, Finset.coe_singleton]
theorem rootSet_C_mul_X_pow [CommRing S] [IsDomain S] [Algebra R S] {n : ℕ} (hn : n ≠ 0) {a : R}
(ha : a ≠ 0) : rootSet (C a * X ^ n) S = {0} := by
rw [C_mul_X_pow_eq_monomial, rootSet_monomial hn ha]
theorem rootSet_X_pow [CommRing S] [IsDomain S] [Algebra R S] {n : ℕ} (hn : n ≠ 0) :
(X ^ n : R[X]).rootSet S = {0} := by
rw [← one_mul (X ^ n : R[X]), ← C_1, rootSet_C_mul_X_pow hn]
exact one_ne_zero
theorem rootSet_prod [CommRing S] [IsDomain S] [Algebra R S] {ι : Type*} (f : ι → R[X])
(s : Finset ι) (h : s.prod f ≠ 0) : (s.prod f).rootSet S = ⋃ i ∈ s, (f i).rootSet S := by
classical
simp only [rootSet, aroots, ← Finset.mem_coe]
rw [Polynomial.map_prod, roots_prod, Finset.bind_toFinset, s.val_toFinset, Finset.coe_biUnion]
rwa [← Polynomial.map_prod, Ne, Polynomial.map_eq_zero]
theorem roots_C_mul_X_sub_C (b : R) (ha : a ≠ 0) : (C a * X - C b).roots = {a⁻¹ * b} := by
| simp [roots_C_mul_X_sub_C_of_IsUnit b ⟨a, a⁻¹, mul_inv_cancel₀ ha, inv_mul_cancel₀ ha⟩]
theorem roots_C_mul_X_add_C (b : R) (ha : a ≠ 0) : (C a * X + C b).roots = {-(a⁻¹ * b)} := by
simp [roots_C_mul_X_add_C_of_IsUnit b ⟨a, a⁻¹, mul_inv_cancel₀ ha, inv_mul_cancel₀ ha⟩]
theorem roots_degree_eq_one (h : degree p = 1) : p.roots = {-((p.coeff 1)⁻¹ * p.coeff 0)} := by
| Mathlib/Algebra/Polynomial/FieldDivision.lean | 494 | 499 |
/-
Copyright (c) 2022 Eric Rodriguez. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Rodriguez
-/
import Mathlib.Algebra.GroupWithZero.Units.Lemmas
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Algebra.Order.Ring.Cast
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Tactic.DeriveFintype
/-!
# Sign function
This file defines the sign function for types with zero and a decidable less-than relation, and
proves some basic theorems about it.
-/
-- Don't generate unnecessary `sizeOf_spec` lemmas which the `simpNF` linter will complain about.
set_option genSizeOfSpec false in
/-- The type of signs. -/
inductive SignType
| zero
| neg
| pos
deriving DecidableEq, Inhabited, Fintype
namespace SignType
instance : Zero SignType :=
⟨zero⟩
instance : One SignType :=
⟨pos⟩
instance : Neg SignType :=
⟨fun s =>
match s with
| neg => pos
| zero => zero
| pos => neg⟩
@[simp]
theorem zero_eq_zero : zero = 0 :=
rfl
@[simp]
theorem neg_eq_neg_one : neg = -1 :=
rfl
@[simp]
theorem pos_eq_one : pos = 1 :=
rfl
instance : Mul SignType :=
⟨fun x y =>
match x with
| neg => -y
| zero => zero
| pos => y⟩
/-- The less-than-or-equal relation on signs. -/
protected inductive LE : SignType → SignType → Prop
| of_neg (a) : SignType.LE neg a
| zero : SignType.LE zero zero
| of_pos (a) : SignType.LE a pos
instance : LE SignType :=
⟨SignType.LE⟩
instance LE.decidableRel : DecidableRel SignType.LE := fun a b => by
cases a <;> cases b <;> first | exact isTrue (by constructor)| exact isFalse (by rintro ⟨_⟩)
instance decidableEq : DecidableEq SignType := fun a b => by
cases a <;> cases b <;> first | exact isTrue (by constructor)| exact isFalse (by rintro ⟨_⟩)
private lemma mul_comm : ∀ (a b : SignType), a * b = b * a := by rintro ⟨⟩ ⟨⟩ <;> rfl
private lemma mul_assoc : ∀ (a b c : SignType), (a * b) * c = a * (b * c) := by
rintro ⟨⟩ ⟨⟩ ⟨⟩ <;> rfl
/- We can define a `Field` instance on `SignType`, but it's not mathematically sensible,
so we only define the `CommGroupWithZero`. -/
instance : CommGroupWithZero SignType where
zero := 0
one := 1
mul := (· * ·)
inv := id
mul_zero a := by cases a <;> rfl
zero_mul a := by cases a <;> rfl
mul_one a := by cases a <;> rfl
one_mul a := by cases a <;> rfl
mul_inv_cancel a ha := by cases a <;> trivial
mul_comm := mul_comm
mul_assoc := mul_assoc
exists_pair_ne := ⟨0, 1, by rintro ⟨_⟩⟩
inv_zero := rfl
private lemma le_antisymm (a b : SignType) (_ : a ≤ b) (_ : b ≤ a) : a = b := by
cases a <;> cases b <;> trivial
private lemma le_trans (a b c : SignType) (_ : a ≤ b) (_ : b ≤ c) : a ≤ c := by
cases a <;> cases b <;> cases c <;> tauto
instance : LinearOrder SignType where
le := (· ≤ ·)
le_refl a := by cases a <;> constructor
le_total a b := by cases a <;> cases b <;> first | left; constructor | right; constructor
le_antisymm := le_antisymm
le_trans := le_trans
toDecidableLE := LE.decidableRel
toDecidableEq := SignType.decidableEq
instance : BoundedOrder SignType where
top := 1
le_top := LE.of_pos
bot := -1
bot_le :=
#adaptation_note /-- https://github.com/leanprover/lean4/pull/6053
Added `by exact`, but don't understand why it was needed. -/
by exact LE.of_neg
instance : HasDistribNeg SignType :=
{ neg_neg := fun x => by cases x <;> rfl
neg_mul := fun x y => by cases x <;> cases y <;> rfl
mul_neg := fun x y => by cases x <;> cases y <;> rfl }
/-- `SignType` is equivalent to `Fin 3`. -/
def fin3Equiv : SignType ≃* Fin 3 where
toFun a :=
match a with
| 0 => ⟨0, by simp⟩
| 1 => ⟨1, by simp⟩
| -1 => ⟨2, by simp⟩
invFun a :=
match a with
| ⟨0, _⟩ => 0
| ⟨1, _⟩ => 1
| ⟨2, _⟩ => -1
left_inv a := by cases a <;> rfl
right_inv a :=
match a with
| ⟨0, _⟩ => by simp
| ⟨1, _⟩ => by simp
| ⟨2, _⟩ => by simp
map_mul' a b := by
cases a <;> cases b <;> rfl
section CaseBashing
theorem nonneg_iff {a : SignType} : 0 ≤ a ↔ a = 0 ∨ a = 1 := by decide +revert
theorem nonneg_iff_ne_neg_one {a : SignType} : 0 ≤ a ↔ a ≠ -1 := by decide +revert
theorem neg_one_lt_iff {a : SignType} : -1 < a ↔ 0 ≤ a := by decide +revert
theorem nonpos_iff {a : SignType} : a ≤ 0 ↔ a = -1 ∨ a = 0 := by decide +revert
theorem nonpos_iff_ne_one {a : SignType} : a ≤ 0 ↔ a ≠ 1 := by decide +revert
theorem lt_one_iff {a : SignType} : a < 1 ↔ a ≤ 0 := by decide +revert
@[simp]
theorem neg_iff {a : SignType} : a < 0 ↔ a = -1 := by decide +revert
@[simp]
theorem le_neg_one_iff {a : SignType} : a ≤ -1 ↔ a = -1 :=
le_bot_iff
@[simp]
theorem pos_iff {a : SignType} : 0 < a ↔ a = 1 := by decide +revert
@[simp]
theorem one_le_iff {a : SignType} : 1 ≤ a ↔ a = 1 :=
top_le_iff
@[simp]
theorem neg_one_le (a : SignType) : -1 ≤ a :=
bot_le
@[simp]
theorem le_one (a : SignType) : a ≤ 1 :=
le_top
@[simp]
theorem not_lt_neg_one (a : SignType) : ¬a < -1 :=
not_lt_bot
@[simp]
theorem not_one_lt (a : SignType) : ¬1 < a :=
not_top_lt
@[simp]
theorem self_eq_neg_iff (a : SignType) : a = -a ↔ a = 0 := by decide +revert
@[simp]
theorem neg_eq_self_iff (a : SignType) : -a = a ↔ a = 0 := by decide +revert
@[simp]
theorem neg_one_lt_one : (-1 : SignType) < 1 :=
bot_lt_top
end CaseBashing
section cast
variable {α : Type*} [Zero α] [One α] [Neg α]
/-- Turn a `SignType` into zero, one, or minus one. This is a coercion instance. -/
@[coe]
def cast : SignType → α
| zero => 0
| pos => 1
| neg => -1
/-- This is a `CoeTail` since the type on the right (trivially) determines the type on the left.
`outParam`-wise it could be a `Coe`, but we don't want to try applying this instance for a
coercion to any `α`.
-/
instance : CoeTail SignType α :=
⟨cast⟩
/-- Casting out of `SignType` respects composition with functions preserving `0, 1, -1`. -/
lemma map_cast' {β : Type*} [One β] [Neg β] [Zero β]
(f : α → β) (h₁ : f 1 = 1) (h₂ : f 0 = 0) (h₃ : f (-1) = -1) (s : SignType) :
f s = s := by
cases s <;> simp only [SignType.cast, h₁, h₂, h₃]
/-- Casting out of `SignType` respects composition with suitable bundled homomorphism types. -/
lemma map_cast {α β F : Type*} [AddGroupWithOne α] [One β] [SubtractionMonoid β]
[FunLike F α β] [AddMonoidHomClass F α β] [OneHomClass F α β] (f : F) (s : SignType) :
f s = s := by
apply map_cast' <;> simp
@[simp]
theorem coe_zero : ↑(0 : SignType) = (0 : α) :=
rfl
@[simp]
theorem coe_one : ↑(1 : SignType) = (1 : α) :=
rfl
@[simp]
theorem coe_neg_one : ↑(-1 : SignType) = (-1 : α) :=
rfl
@[simp, norm_cast]
lemma coe_neg {α : Type*} [One α] [SubtractionMonoid α] (s : SignType) :
(↑(-s) : α) = -↑s := by
cases s <;> simp
/-- Casting `SignType → ℤ → α` is the same as casting directly `SignType → α`. -/
@[simp, norm_cast]
lemma intCast_cast {α : Type*} [AddGroupWithOne α] (s : SignType) : ((s : ℤ) : α) = s :=
map_cast' _ Int.cast_one Int.cast_zero (@Int.cast_one α _ ▸ Int.cast_neg 1) _
end cast
/-- `SignType.cast` as a `MulWithZeroHom`. -/
@[simps]
def castHom {α} [MulZeroOneClass α] [HasDistribNeg α] : SignType →*₀ α where
toFun := cast
map_zero' := rfl
map_one' := rfl
map_mul' x y := by cases x <;> cases y <;> simp [zero_eq_zero, pos_eq_one, neg_eq_neg_one]
theorem univ_eq : (Finset.univ : Finset SignType) = {0, -1, 1} := by
decide
theorem range_eq {α} (f : SignType → α) : Set.range f = {f zero, f neg, f pos} := by
classical rw [← Fintype.coe_image_univ, univ_eq]
classical simp [Finset.coe_insert]
@[simp, norm_cast] lemma coe_mul {α} [MulZeroOneClass α] [HasDistribNeg α] (a b : SignType) :
↑(a * b) = (a : α) * b :=
map_mul SignType.castHom _ _
@[simp, norm_cast] lemma coe_pow {α} [MonoidWithZero α] [HasDistribNeg α] (a : SignType) (k : ℕ) :
↑(a ^ k) = (a : α) ^ k :=
map_pow SignType.castHom _ _
@[simp, norm_cast] lemma coe_zpow {α} [GroupWithZero α] [HasDistribNeg α] (a : SignType) (k : ℤ) :
↑(a ^ k) = (a : α) ^ k :=
map_zpow₀ SignType.castHom _ _
end SignType
-- The lemma `exists_signed_sum` needs explicit universe handling in its statement.
universe u
variable {α : Type u}
open SignType
section Preorder
variable [Zero α] [Preorder α] [DecidableLT α] {a : α}
/-- The sign of an element is 1 if it's positive, -1 if negative, 0 otherwise. -/
def SignType.sign : α →o SignType :=
⟨fun a => if 0 < a then 1 else if a < 0 then -1 else 0, fun a b h => by
dsimp
split_ifs with h₁ h₂ h₃ h₄ _ _ h₂ h₃ <;> try constructor
· cases lt_irrefl 0 (h₁.trans <| h.trans_lt h₃)
· cases h₂ (h₁.trans_le h)
· cases h₄ (h.trans_lt h₃)⟩
theorem sign_apply : sign a = ite (0 < a) 1 (ite (a < 0) (-1) 0) :=
rfl
@[simp]
theorem sign_zero : sign (0 : α) = 0 := by simp [sign_apply]
@[simp]
theorem sign_pos (ha : 0 < a) : sign a = 1 := by rwa [sign_apply, if_pos]
@[simp]
theorem sign_neg (ha : a < 0) : sign a = -1 := by rwa [sign_apply, if_neg <| asymm ha, if_pos]
theorem sign_eq_one_iff : sign a = 1 ↔ 0 < a := by
refine ⟨fun h => ?_, fun h => sign_pos h⟩
by_contra hn
rw [sign_apply, if_neg hn] at h
split_ifs at h
theorem sign_eq_neg_one_iff : sign a = -1 ↔ a < 0 := by
refine ⟨fun h => ?_, fun h => sign_neg h⟩
rw [sign_apply] at h
split_ifs at h
assumption
end Preorder
section LinearOrder
variable [Zero α] [LinearOrder α] {a : α}
/-- `SignType.sign` respects strictly monotone zero-preserving maps. -/
lemma StrictMono.sign_comp {β F : Type*} [Zero β] [Preorder β] [DecidableLT β]
[FunLike F α β] [ZeroHomClass F α β] {f : F} (hf : StrictMono f) (a : α) :
sign (f a) = sign a := by
simp only [sign_apply, ← map_zero f, hf.lt_iff_lt]
@[simp]
theorem sign_eq_zero_iff : sign a = 0 ↔ a = 0 := by
refine ⟨fun h => ?_, fun h => h.symm ▸ sign_zero⟩
rw [sign_apply] at h
split_ifs at h with h_1 h_2
cases h
exact (le_of_not_lt h_1).eq_of_not_lt h_2
theorem sign_ne_zero : sign a ≠ 0 ↔ a ≠ 0 :=
sign_eq_zero_iff.not
@[simp]
theorem sign_nonneg_iff : 0 ≤ sign a ↔ 0 ≤ a := by
rcases lt_trichotomy 0 a with (h | h | h)
· simp [h, h.le]
· simp [← h]
· simp [h, h.not_le]
@[simp]
theorem sign_nonpos_iff : sign a ≤ 0 ↔ a ≤ 0 := by
rcases lt_trichotomy 0 a with (h | h | h)
· simp [h, h.not_le]
· simp [← h]
· simp [h, h.le]
end LinearOrder
section OrderedSemiring
variable [Semiring α] [PartialOrder α] [IsOrderedRing α] [DecidableLT α] [Nontrivial α]
theorem sign_one : sign (1 : α) = 1 :=
sign_pos zero_lt_one
end OrderedSemiring
section OrderedRing
@[simp]
lemma sign_intCast {α : Type*} [Ring α] [PartialOrder α] [IsOrderedRing α]
[Nontrivial α] [DecidableLT α] (n : ℤ) :
sign (n : α) = sign n := by
simp only [sign_apply, Int.cast_pos, Int.cast_lt_zero]
end OrderedRing
section LinearOrderedRing
variable [Ring α] [LinearOrder α] [IsStrictOrderedRing α]
theorem sign_mul (x y : α) : sign (x * y) = sign x * sign y := by
rcases lt_trichotomy x 0 with (hx | hx | hx) <;> rcases lt_trichotomy y 0 with (hy | hy | hy) <;>
simp [hx, hy, mul_pos_of_neg_of_neg, mul_neg_of_neg_of_pos, mul_neg_of_pos_of_neg]
@[simp] theorem sign_mul_abs (x : α) : (sign x * |x| : α) = x := by
rcases lt_trichotomy x 0 with hx | rfl | hx <;> simp [*, abs_of_pos, abs_of_neg]
@[simp] theorem abs_mul_sign (x : α) : (|x| * sign x : α) = x := by
rcases lt_trichotomy x 0 with hx | rfl | hx <;> simp [*, abs_of_pos, abs_of_neg]
@[simp]
theorem sign_mul_self (x : α) : sign x * x = |x| := by
rcases lt_trichotomy x 0 with hx | rfl | hx <;> simp [*, abs_of_pos, abs_of_neg]
@[simp]
theorem self_mul_sign (x : α) : x * sign x = |x| := by
rcases lt_trichotomy x 0 with hx | rfl | hx <;> simp [*, abs_of_pos, abs_of_neg]
/-- `SignType.sign` as a `MonoidWithZeroHom` for a nontrivial ordered semiring. Note that linearity
is required; consider ℂ with the order `z ≤ w` iff they have the same imaginary part and
`z - w ≤ 0` in the reals; then `1 + I` and `1 - I` are incomparable to zero, and thus we have:
`0 * 0 = SignType.sign (1 + I) * SignType.sign (1 - I) ≠ SignType.sign 2 = 1`.
(`Complex.orderedCommRing`) -/
def signHom : α →*₀ SignType where
toFun := sign
map_zero' := sign_zero
map_one' := sign_one
map_mul' := sign_mul
theorem sign_pow (x : α) (n : ℕ) : sign (x ^ n) = sign x ^ n := map_pow signHom x n
end LinearOrderedRing
section AddGroup
variable [AddGroup α] [Preorder α] [DecidableLT α]
theorem Left.sign_neg [AddLeftStrictMono α] (a : α) : sign (-a) = -sign a := by
simp_rw [sign_apply, Left.neg_pos_iff, Left.neg_neg_iff]
split_ifs with h h'
· exact False.elim (lt_asymm h h')
· simp
· simp
· simp
theorem Right.sign_neg [AddRightStrictMono α] (a : α) :
sign (-a) = -sign a := by
simp_rw [sign_apply, Right.neg_pos_iff, Right.neg_neg_iff]
split_ifs with h h'
· exact False.elim (lt_asymm h h')
· simp
· simp
· simp
end AddGroup
section LinearOrderedAddCommGroup
variable [AddCommGroup α] [LinearOrder α] [IsOrderedAddMonoid α]
theorem sign_sum {ι : Type*} {s : Finset ι} {f : ι → α} (hs : s.Nonempty) (t : SignType)
(h : ∀ i ∈ s, sign (f i) = t) : sign (∑ i ∈ s, f i) = t := by
cases t
· simp_rw [zero_eq_zero, sign_eq_zero_iff] at h ⊢
exact Finset.sum_eq_zero h
· simp_rw [neg_eq_neg_one, sign_eq_neg_one_iff] at h ⊢
exact Finset.sum_neg h hs
· simp_rw [pos_eq_one, sign_eq_one_iff] at h ⊢
exact Finset.sum_pos h hs
end LinearOrderedAddCommGroup
namespace Int
theorem sign_eq_sign (n : ℤ) : Int.sign n = SignType.sign n := by
obtain (n | _) | _ := n <;> simp [sign, Int.sign_neg, negSucc_lt_zero]
end Int
open Finset Nat
section exists_signed_sum
/-!
In this section we explicitly handle universe variables,
because Lean creates a fresh universe variable for the type whose existence is asserted.
But we want the type to live in the same universe as the input type.
-/
private theorem exists_signed_sum_aux [DecidableEq α] (s : Finset α) (f : α → ℤ) :
∃ (β : Type u) (t : Finset β) (sgn : β → SignType) (g : β → α),
(∀ b, g b ∈ s) ∧
(#t = ∑ a ∈ s, (f a).natAbs) ∧
∀ a ∈ s, (∑ b ∈ t, if g b = a then (sgn b : ℤ) else 0) = f a := by
refine
⟨(Σ _ : { x // x ∈ s }, ℕ), Finset.univ.sigma fun a => range (f a).natAbs,
fun a => sign (f a.1), fun a => a.1, fun a => a.1.2, ?_, ?_⟩
· simp [sum_attach (f := fun a => (f a).natAbs)]
· intro x hx
simp [sum_sigma, hx, ← Int.sign_eq_sign, Int.sign_mul_abs, mul_comm |f _|,
sum_attach (s := s) (f := fun y => if y = x then f y else 0)]
/-- We can decompose a sum of absolute value `n` into a sum of `n` signs. -/
theorem exists_signed_sum [DecidableEq α] (s : Finset α) (f : α → ℤ) :
∃ (β : Type u) (_ : Fintype β) (sgn : β → SignType) (g : β → α),
(∀ b, g b ∈ s) ∧
(Fintype.card β = ∑ a ∈ s, (f a).natAbs) ∧
∀ a ∈ s, (∑ b, if g b = a then (sgn b : ℤ) else 0) = f a :=
let ⟨β, t, sgn, g, hg, ht, hf⟩ := exists_signed_sum_aux s f
⟨t, inferInstance, fun b => sgn b, fun b => g b, fun b => hg b, by simp [ht], fun a ha =>
(sum_attach t fun b ↦ ite (g b = a) (sgn b : ℤ) 0).trans <| hf _ ha⟩
/-- We can decompose a sum of absolute value less than `n` into a sum of at most `n` signs. -/
theorem exists_signed_sum' [Nonempty α] [DecidableEq α] (s : Finset α) (f : α → ℤ)
(n : ℕ) (h : (∑ i ∈ s, (f i).natAbs) ≤ n) :
∃ (β : Type u) (_ : Fintype β) (sgn : β → SignType) (g : β → α),
(∀ b, g b ∉ s → sgn b = 0) ∧
Fintype.card β = n ∧ ∀ a ∈ s, (∑ i, if g i = a then (sgn i : ℤ) else 0) = f a := by
obtain ⟨β, _, sgn, g, hg, hβ, hf⟩ := exists_signed_sum s f
refine
⟨β ⊕ (Fin (n - ∑ i ∈ s, (f i).natAbs)), inferInstance, Sum.elim sgn 0,
Sum.elim g (Classical.arbitrary (Fin (n - Finset.sum s fun i => Int.natAbs (f i)) → α)),
?_, by simp [hβ, h], fun a ha => by simp [hf _ ha]⟩
rintro (b | b) hb
· cases hb (hg _)
· rfl
end exists_signed_sum
| Mathlib/Data/Sign.lean | 524 | 525 | |
/-
Copyright (c) 2020 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison
-/
import Mathlib.Algebra.MvPolynomial.PDeriv
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Algebra.Polynomial.Eval.SMul
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.LinearAlgebra.LinearIndependent.Lemmas
import Mathlib.RingTheory.Polynomial.Pochhammer
/-!
# Bernstein polynomials
The definition of the Bernstein polynomials
```
bernsteinPolynomial (R : Type*) [CommRing R] (n ν : ℕ) : R[X] :=
(choose n ν) * X^ν * (1 - X)^(n - ν)
```
and the fact that for `ν : Fin (n+1)` these are linearly independent over `ℚ`.
We prove the basic identities
* `(Finset.range (n + 1)).sum (fun ν ↦ bernsteinPolynomial R n ν) = 1`
* `(Finset.range (n + 1)).sum (fun ν ↦ ν • bernsteinPolynomial R n ν) = n • X`
* `(Finset.range (n + 1)).sum (fun ν ↦ (ν * (ν-1)) • bernsteinPolynomial R n ν) = (n * (n-1)) • X^2`
## Notes
See also `Mathlib.Analysis.SpecialFunctions.Bernstein`, which defines the Bernstein approximations
of a continuous function `f : C([0,1], ℝ)`, and shows that these converge uniformly to `f`.
-/
noncomputable section
open Nat (choose)
open Polynomial (X)
open scoped Polynomial
variable (R : Type*) [CommRing R]
/-- `bernsteinPolynomial R n ν` is `(choose n ν) * X^ν * (1 - X)^(n - ν)`.
Although the coefficients are integers, it is convenient to work over an arbitrary commutative ring.
-/
def bernsteinPolynomial (n ν : ℕ) : R[X] :=
(choose n ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν)
example : bernsteinPolynomial ℤ 3 2 = 3 * X ^ 2 - 3 * X ^ 3 := by
norm_num [bernsteinPolynomial, choose]
ring
namespace bernsteinPolynomial
theorem eq_zero_of_lt {n ν : ℕ} (h : n < ν) : bernsteinPolynomial R n ν = 0 := by
simp [bernsteinPolynomial, Nat.choose_eq_zero_of_lt h]
section
variable {R} {S : Type*} [CommRing S]
@[simp]
theorem map (f : R →+* S) (n ν : ℕ) :
(bernsteinPolynomial R n ν).map f = bernsteinPolynomial S n ν := by simp [bernsteinPolynomial]
end
theorem flip (n ν : ℕ) (h : ν ≤ n) :
(bernsteinPolynomial R n ν).comp (1 - X) = bernsteinPolynomial R n (n - ν) := by
simp [bernsteinPolynomial, h, tsub_tsub_assoc, mul_right_comm]
theorem flip' (n ν : ℕ) (h : ν ≤ n) :
bernsteinPolynomial R n ν = (bernsteinPolynomial R n (n - ν)).comp (1 - X) := by
simp [← flip _ _ _ h, Polynomial.comp_assoc]
theorem eval_at_0 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 0 = if ν = 0 then 1 else 0 := by
rw [bernsteinPolynomial]
split_ifs with h
· subst h; simp
· simp [zero_pow h]
theorem eval_at_1 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 1 = if ν = n then 1 else 0 := by
rw [bernsteinPolynomial]
split_ifs with h
· subst h; simp
· obtain hνn | hnν := Ne.lt_or_lt h
· simp [zero_pow <| Nat.sub_ne_zero_of_lt hνn]
· simp [Nat.choose_eq_zero_of_lt hnν]
theorem derivative_succ_aux (n ν : ℕ) :
Polynomial.derivative (bernsteinPolynomial R (n + 1) (ν + 1)) =
(n + 1) * (bernsteinPolynomial R n ν - bernsteinPolynomial R n (ν + 1)) := by
rw [bernsteinPolynomial]
suffices ((n + 1).choose (ν + 1) : R[X]) * ((↑(ν + 1 : ℕ) : R[X]) * X ^ ν) * (1 - X) ^ (n - ν) -
((n + 1).choose (ν + 1) : R[X]) * X ^ (ν + 1) * ((↑(n - ν) : R[X]) * (1 - X) ^ (n - ν - 1)) =
(↑(n + 1) : R[X]) * ((n.choose ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν) -
(n.choose (ν + 1) : R[X]) * X ^ (ν + 1) * (1 - X) ^ (n - (ν + 1))) by
simpa [Polynomial.derivative_pow, ← sub_eq_add_neg, Nat.succ_sub_succ_eq_sub,
Polynomial.derivative_mul, Polynomial.derivative_natCast, zero_mul,
Nat.cast_add, algebraMap.coe_one, Polynomial.derivative_X, mul_one, zero_add,
Polynomial.derivative_sub, Polynomial.derivative_one, zero_sub, mul_neg, Nat.sub_zero,
bernsteinPolynomial, map_add, map_natCast, Nat.cast_one]
conv_rhs => rw [mul_sub]
-- We'll prove the two terms match up separately.
refine congr (congr_arg Sub.sub ?_) ?_
· simp only [← mul_assoc]
apply congr (congr_arg (· * ·) (congr (congr_arg (· * ·) _) rfl)) rfl
-- Now it's just about binomial coefficients
exact mod_cast congr_arg (fun m : ℕ => (m : R[X])) (Nat.succ_mul_choose_eq n ν).symm
· rw [← tsub_add_eq_tsub_tsub, ← mul_assoc, ← mul_assoc]; congr 1
rw [mul_comm, ← mul_assoc, ← mul_assoc]; congr 1
norm_cast
congr 1
convert (Nat.choose_mul_succ_eq n (ν + 1)).symm using 1
· -- Porting note: was
-- convert mul_comm _ _ using 2
-- simp
rw [mul_comm, Nat.succ_sub_succ_eq_sub]
· apply mul_comm
theorem derivative_succ (n ν : ℕ) : Polynomial.derivative (bernsteinPolynomial R n (ν + 1)) =
n * (bernsteinPolynomial R (n - 1) ν - bernsteinPolynomial R (n - 1) (ν + 1)) := by
cases n
· simp [bernsteinPolynomial]
· rw [Nat.cast_succ]; apply derivative_succ_aux
theorem derivative_zero (n : ℕ) :
Polynomial.derivative (bernsteinPolynomial R n 0) = -n * bernsteinPolynomial R (n - 1) 0 := by
simp [bernsteinPolynomial, Polynomial.derivative_pow]
theorem iterate_derivative_at_0_eq_zero_of_lt (n : ℕ) {ν k : ℕ} :
k < ν → (Polynomial.derivative^[k] (bernsteinPolynomial R n ν)).eval 0 = 0 := by
rcases ν with - | ν
· rintro ⟨⟩
· rw [Nat.lt_succ_iff]
induction' k with k ih generalizing n ν
· simp [eval_at_0]
· simp only [derivative_succ, Int.natCast_eq_zero, mul_eq_zero, Function.comp_apply,
Function.iterate_succ, Polynomial.iterate_derivative_sub,
Polynomial.iterate_derivative_natCast_mul, Polynomial.eval_mul, Polynomial.eval_natCast,
Polynomial.eval_sub]
intro h
apply mul_eq_zero_of_right
rw [ih _ _ (Nat.le_of_succ_le h), sub_zero]
convert ih _ _ (Nat.pred_le_pred h)
exact (Nat.succ_pred_eq_of_pos (k.succ_pos.trans_le h)).symm
@[simp]
theorem iterate_derivative_succ_at_0_eq_zero (n ν : ℕ) :
(Polynomial.derivative^[ν] (bernsteinPolynomial R n (ν + 1))).eval 0 = 0 :=
iterate_derivative_at_0_eq_zero_of_lt R n (lt_add_one ν)
open Polynomial
@[simp]
theorem iterate_derivative_at_0 (n ν : ℕ) :
(Polynomial.derivative^[ν] (bernsteinPolynomial R n ν)).eval 0 =
(ascPochhammer R ν).eval ((n - (ν - 1) : ℕ) : R) := by
by_cases h : ν ≤ n
· induction' ν with ν ih generalizing n
· simp [eval_at_0]
· have h' : ν ≤ n - 1 := le_tsub_of_add_le_right h
simp only [derivative_succ, ih (n - 1) h', iterate_derivative_succ_at_0_eq_zero,
Nat.succ_sub_succ_eq_sub, tsub_zero, sub_zero, iterate_derivative_sub,
iterate_derivative_natCast_mul, eval_one, eval_mul, eval_add, eval_sub, eval_X, eval_comp,
eval_natCast, Function.comp_apply, Function.iterate_succ, ascPochhammer_succ_left]
obtain rfl | h'' := ν.eq_zero_or_pos
· simp
· have : n - 1 - (ν - 1) = n - ν := by omega
rw [this, ascPochhammer_eval_succ]
rw_mod_cast [tsub_add_cancel_of_le (h'.trans n.pred_le)]
· simp only [not_le] at h
rw [tsub_eq_zero_iff_le.mpr (Nat.le_sub_one_of_lt h), eq_zero_of_lt R h]
simp [pos_iff_ne_zero.mp (pos_of_gt h)]
theorem iterate_derivative_at_0_ne_zero [CharZero R] (n ν : ℕ) (h : ν ≤ n) :
(Polynomial.derivative^[ν] (bernsteinPolynomial R n ν)).eval 0 ≠ 0 := by
simp only [Int.natCast_eq_zero, bernsteinPolynomial.iterate_derivative_at_0, Ne, Nat.cast_eq_zero]
simp only [← ascPochhammer_eval_cast]
norm_cast
apply ne_of_gt
obtain rfl | h' := Nat.eq_zero_or_pos ν
· simp
· rw [← Nat.succ_pred_eq_of_pos h'] at h
exact ascPochhammer_pos _ _ (tsub_pos_of_lt (Nat.lt_of_succ_le h))
/-!
Rather than redoing the work of evaluating the derivatives at 1,
we use the symmetry of the Bernstein polynomials.
-/
theorem iterate_derivative_at_1_eq_zero_of_lt (n : ℕ) {ν k : ℕ} :
k < n - ν → (Polynomial.derivative^[k] (bernsteinPolynomial R n ν)).eval 1 = 0 := by
intro w
rw [flip' _ _ _ (tsub_pos_iff_lt.mp (pos_of_gt w)).le]
simp [Polynomial.eval_comp, iterate_derivative_at_0_eq_zero_of_lt R n w]
@[simp]
theorem iterate_derivative_at_1 (n ν : ℕ) (h : ν ≤ n) :
(Polynomial.derivative^[n - ν] (bernsteinPolynomial R n ν)).eval 1 =
(-1) ^ (n - ν) * (ascPochhammer R (n - ν)).eval (ν + 1 : R) := by
rw [flip' _ _ _ h]
simp [Polynomial.eval_comp, h]
obtain rfl | h' := h.eq_or_lt
· simp
· norm_cast
congr
omega
theorem iterate_derivative_at_1_ne_zero [CharZero R] (n ν : ℕ) (h : ν ≤ n) :
(Polynomial.derivative^[n - ν] (bernsteinPolynomial R n ν)).eval 1 ≠ 0 := by
rw [bernsteinPolynomial.iterate_derivative_at_1 _ _ _ h, Ne, neg_one_pow_mul_eq_zero_iff, ←
Nat.cast_succ, ← ascPochhammer_eval_cast, ← Nat.cast_zero, Nat.cast_inj]
exact (ascPochhammer_pos _ _ (Nat.succ_pos ν)).ne'
open Submodule
theorem linearIndependent_aux (n k : ℕ) (h : k ≤ n + 1) :
LinearIndependent ℚ fun ν : Fin k => bernsteinPolynomial ℚ n ν := by
induction' k with k ih
· apply linearIndependent_empty_type
· apply linearIndependent_fin_succ'.mpr
fconstructor
· exact ih (le_of_lt h)
· -- The actual work!
-- We show that the (n-k)-th derivative at 1 doesn't vanish,
-- but vanishes for everything in the span.
clear ih
simp only [Nat.succ_eq_add_one, add_le_add_iff_right] at h
simp only [Fin.val_last, Fin.init_def]
dsimp
apply not_mem_span_of_apply_not_mem_span_image (@Polynomial.derivative ℚ _ ^ (n - k))
-- Note: https://github.com/leanprover-community/mathlib4/pull/8386 had to change `span_image` into `span_image _`
simp only [not_exists, not_and, Submodule.mem_map, Submodule.span_image _]
intro p m
apply_fun Polynomial.eval (1 : ℚ)
simp only [Module.End.pow_apply]
-- The right hand side is nonzero,
-- so it will suffice to show the left hand side is always zero.
suffices (Polynomial.derivative^[n - k] p).eval 1 = 0 by
rw [this]
exact (iterate_derivative_at_1_ne_zero ℚ n k h).symm
refine span_induction ?_ ?_ ?_ ?_ m
· simp only [Set.mem_range, forall_exists_index, forall_apply_eq_imp_iff]
rintro ⟨a, w⟩; simp only [Fin.val_mk]
rw [iterate_derivative_at_1_eq_zero_of_lt ℚ n ((tsub_lt_tsub_iff_left_of_le h).mpr w)]
· simp
· intro x y _ _ hx hy; simp [hx, hy]
· intro a x _ h; simp [h]
/-- The Bernstein polynomials are linearly independent.
We prove by induction that the collection of `bernsteinPolynomial n ν` for `ν = 0, ..., k`
are linearly independent.
The inductive step relies on the observation that the `(n-k)`-th derivative, evaluated at 1,
annihilates `bernsteinPolynomial n ν` for `ν < k`, but has a nonzero value at `ν = k`.
-/
theorem linearIndependent (n : ℕ) :
LinearIndependent ℚ fun ν : Fin (n + 1) => bernsteinPolynomial ℚ n ν :=
linearIndependent_aux n (n + 1) le_rfl
theorem sum (n : ℕ) : (∑ ν ∈ Finset.range (n + 1), bernsteinPolynomial R n ν) = 1 :=
calc
(∑ ν ∈ Finset.range (n + 1), bernsteinPolynomial R n ν) = (X + (1 - X)) ^ n := by
rw [add_pow]
simp only [bernsteinPolynomial, mul_comm, mul_assoc, mul_left_comm]
_ = 1 := by simp
open Polynomial
open MvPolynomial hiding X
theorem sum_smul (n : ℕ) :
(∑ ν ∈ Finset.range (n + 1), ν • bernsteinPolynomial R n ν) = n • X := by
-- We calculate the `x`-derivative of `(x+y)^n`, evaluated at `y=(1-x)`,
-- either directly or by using the binomial theorem.
-- We'll work in `MvPolynomial Bool R`.
let x : MvPolynomial Bool R := MvPolynomial.X true
let y : MvPolynomial Bool R := MvPolynomial.X false
have pderiv_true_x : pderiv true x = 1 := by rw [pderiv_X]; rfl
have pderiv_true_y : pderiv true y = 0 := by rw [pderiv_X]; rfl
let e : Bool → R[X] := fun i => cond i X (1 - X)
-- Start with `(x+y)^n = (x+y)^n`,
| -- take the `x`-derivative, evaluate at `x=X, y=1-X`, and multiply by `X`:
trans MvPolynomial.aeval e (pderiv true ((x + y) ^ n)) * X
-- On the left hand side we'll use the binomial theorem, then simplify.
· -- We first prepare a tedious rewrite:
have w : ∀ k : ℕ, k • bernsteinPolynomial R n k =
(k : R[X]) * Polynomial.X ^ (k - 1) * (1 - Polynomial.X) ^ (n - k) * (n.choose k : R[X]) *
| Mathlib/RingTheory/Polynomial/Bernstein.lean | 289 | 294 |
/-
Copyright (c) 2020 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Mario Carneiro, Yury Kudryashov
-/
import Mathlib.Logic.IsEmpty
import Mathlib.Order.Basic
import Mathlib.Tactic.MkIffOfInductiveProp
import Batteries.WF
/-!
# Unbundled relation classes
In this file we prove some properties of `Is*` classes defined in `Mathlib.Order.Defs`. The main
difference between these classes and the usual order classes (`Preorder` etc) is that usual classes
extend `LE` and/or `LT` while these classes take a relation as an explicit argument.
-/
universe u v
variable {α : Type u} {β : Type v} {r : α → α → Prop} {s : β → β → Prop}
open Function
theorem IsRefl.swap (r) [IsRefl α r] : IsRefl α (swap r) :=
⟨refl_of r⟩
theorem IsIrrefl.swap (r) [IsIrrefl α r] : IsIrrefl α (swap r) :=
⟨irrefl_of r⟩
theorem IsTrans.swap (r) [IsTrans α r] : IsTrans α (swap r) :=
⟨fun _ _ _ h₁ h₂ => trans_of r h₂ h₁⟩
theorem IsAntisymm.swap (r) [IsAntisymm α r] : IsAntisymm α (swap r) :=
⟨fun _ _ h₁ h₂ => _root_.antisymm h₂ h₁⟩
theorem IsAsymm.swap (r) [IsAsymm α r] : IsAsymm α (swap r) :=
⟨fun _ _ h₁ h₂ => asymm_of r h₂ h₁⟩
|
theorem IsTotal.swap (r) [IsTotal α r] : IsTotal α (swap r) :=
⟨fun a b => (total_of r a b).symm⟩
| Mathlib/Order/RelClasses.lean | 40 | 43 |
/-
Copyright (c) 2020 Thomas Browning, Patrick Lutz. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Thomas Browning, Patrick Lutz
-/
import Mathlib.Data.Fintype.Pigeonhole
import Mathlib.FieldTheory.IsAlgClosed.Basic
import Mathlib.FieldTheory.SplittingField.Construction
import Mathlib.RingTheory.IntegralDomain
import Mathlib.RingTheory.Polynomial.UniqueFactorization
/-!
# Primitive Element Theorem
In this file we prove the primitive element theorem.
## Main results
- `Field.exists_primitive_element`: a finite separable extension `E / F` has a primitive element,
i.e. there is an `α : E` such that `F⟮α⟯ = (⊤ : Subalgebra F E)`.
- `Field.exists_primitive_element_iff_finite_intermediateField`: a finite extension `E / F` has a
primitive element if and only if there exist only finitely many intermediate fields between `E`
and `F`.
## Implementation notes
In declaration names, `primitive_element` abbreviates `adjoin_simple_eq_top`:
it stands for the statement `F⟮α⟯ = (⊤ : Subalgebra F E)`. We did not add an extra
declaration `IsPrimitiveElement F α := F⟮α⟯ = (⊤ : Subalgebra F E)` because this
requires more unfolding without much obvious benefit.
## Tags
primitive element, separable field extension, separable extension, intermediate field, adjoin,
exists_adjoin_simple_eq_top
-/
noncomputable section
open Module Polynomial IntermediateField
namespace Field
section PrimitiveElementFinite
variable (F : Type*) [Field F] (E : Type*) [Field E] [Algebra F E]
/-! ### Primitive element theorem for finite fields -/
/-- **Primitive element theorem** assuming E is finite. -/
@[stacks 09HY "second part"]
theorem exists_primitive_element_of_finite_top [Finite E] : ∃ α : E, F⟮α⟯ = ⊤ := by
obtain ⟨α, hα⟩ := @IsCyclic.exists_generator Eˣ _ _
use α
rw [eq_top_iff]
rintro x -
by_cases hx : x = 0
· rw [hx]
exact F⟮α.val⟯.zero_mem
· obtain ⟨n, hn⟩ := Set.mem_range.mp (hα (Units.mk0 x hx))
rw [show x = α ^ n by norm_cast; rw [hn, Units.val_mk0]]
exact zpow_mem (mem_adjoin_simple_self F (E := E) ↑α) n
/-- Primitive element theorem for finite dimensional extension of a finite field. -/
theorem exists_primitive_element_of_finite_bot [Finite F] [FiniteDimensional F E] :
∃ α : E, F⟮α⟯ = ⊤ :=
haveI : Finite E := Module.finite_of_finite F
exists_primitive_element_of_finite_top F E
end PrimitiveElementFinite
/-! ### Primitive element theorem for infinite fields -/
section PrimitiveElementInf
variable {F : Type*} [Field F] [Infinite F] {E : Type*} [Field E] (ϕ : F →+* E) (α β : E)
theorem primitive_element_inf_aux_exists_c (f g : F[X]) :
∃ c : F, ∀ α' ∈ (f.map ϕ).roots, ∀ β' ∈ (g.map ϕ).roots, -(α' - α) / (β' - β) ≠ ϕ c := by
classical
let sf := (f.map ϕ).roots
let sg := (g.map ϕ).roots
classical
let s := (sf.bind fun α' => sg.map fun β' => -(α' - α) / (β' - β)).toFinset
let s' := s.preimage ϕ fun x _ y _ h => ϕ.injective h
obtain ⟨c, hc⟩ := Infinite.exists_not_mem_finset s'
simp_rw [s', s, Finset.mem_preimage, Multiset.mem_toFinset, Multiset.mem_bind, Multiset.mem_map]
at hc
push_neg at hc
exact ⟨c, hc⟩
variable (F)
variable [Algebra F E]
/-- This is the heart of the proof of the primitive element theorem. It shows that if `F` is
infinite and `α` and `β` are separable over `F` then `F⟮α, β⟯` is generated by a single element. -/
theorem primitive_element_inf_aux [Algebra.IsSeparable F E] : ∃ γ : E, F⟮α, β⟯ = F⟮γ⟯ := by
classical
have hα := Algebra.IsSeparable.isIntegral F α
have hβ := Algebra.IsSeparable.isIntegral F β
let f := minpoly F α
let g := minpoly F β
let ιFE := algebraMap F E
let ιEE' := algebraMap E (SplittingField (g.map ιFE))
obtain ⟨c, hc⟩ := primitive_element_inf_aux_exists_c (ιEE'.comp ιFE) (ιEE' α) (ιEE' β) f g
let γ := α + c • β
suffices β_in_Fγ : β ∈ F⟮γ⟯ by
use γ
apply le_antisymm
· rw [adjoin_le_iff]
have α_in_Fγ : α ∈ F⟮γ⟯ := by
rw [← add_sub_cancel_right α (c • β)]
exact F⟮γ⟯.sub_mem (mem_adjoin_simple_self F γ) (F⟮γ⟯.toSubalgebra.smul_mem β_in_Fγ c)
rintro x (rfl | rfl) <;> assumption
· rw [adjoin_simple_le_iff]
have α_in_Fαβ : α ∈ F⟮α, β⟯ := subset_adjoin F {α, β} (Set.mem_insert α {β})
have β_in_Fαβ : β ∈ F⟮α, β⟯ := subset_adjoin F {α, β} (Set.mem_insert_of_mem α rfl)
exact F⟮α, β⟯.add_mem α_in_Fαβ (F⟮α, β⟯.smul_mem β_in_Fαβ)
classical
let p := EuclideanDomain.gcd ((f.map (algebraMap F F⟮γ⟯)).comp
(C (AdjoinSimple.gen F γ) - (C ↑c : F⟮γ⟯[X]) * X)) (g.map (algebraMap F F⟮γ⟯))
let h := EuclideanDomain.gcd ((f.map ιFE).comp (C γ - C (ιFE c) * X)) (g.map ιFE)
have map_g_ne_zero : g.map ιFE ≠ 0 := map_ne_zero (minpoly.ne_zero hβ)
have h_ne_zero : h ≠ 0 :=
mt EuclideanDomain.gcd_eq_zero_iff.mp (not_and.mpr fun _ => map_g_ne_zero)
suffices p_linear : p.map (algebraMap F⟮γ⟯ E) = C h.leadingCoeff * (X - C β) by
have finale : β = algebraMap F⟮γ⟯ E (-p.coeff 0 / p.coeff 1) := by
simp [map_div₀, RingHom.map_neg, ← coeff_map, ← coeff_map, p_linear,
mul_sub, coeff_C, mul_div_cancel_left₀ β (mt leadingCoeff_eq_zero.mp h_ne_zero)]
rw [finale]
exact Subtype.mem (-p.coeff 0 / p.coeff 1)
have h_sep : h.Separable := separable_gcd_right _ (Algebra.IsSeparable.isSeparable F β).map
have h_root : h.eval β = 0 := by
apply eval_gcd_eq_zero
· rw [eval_comp, eval_sub, eval_mul, eval_C, eval_C, eval_X, eval_map, ← aeval_def, ←
Algebra.smul_def, add_sub_cancel_right, minpoly.aeval]
· rw [eval_map, ← aeval_def, minpoly.aeval]
have h_splits : Splits ιEE' h :=
splits_of_splits_gcd_right ιEE' map_g_ne_zero (SplittingField.splits _)
have h_roots : ∀ x ∈ (h.map ιEE').roots, x = ιEE' β := by
intro x hx
rw [mem_roots_map h_ne_zero] at hx
specialize hc (ιEE' γ - ιEE' (ιFE c) * x) (by
have f_root := root_left_of_root_gcd hx
rw [eval₂_comp, eval₂_sub, eval₂_mul, eval₂_C, eval₂_C, eval₂_X, eval₂_map] at f_root
exact (mem_roots_map (minpoly.ne_zero hα)).mpr f_root)
specialize hc x (by
rw [mem_roots_map (minpoly.ne_zero hβ), ← eval₂_map]
exact root_right_of_root_gcd hx)
by_contra a
apply hc
apply (div_eq_iff (sub_ne_zero.mpr a)).mpr
simp only [γ, Algebra.smul_def, RingHom.map_add, RingHom.map_mul, RingHom.comp_apply]
ring
rw [← eq_X_sub_C_of_separable_of_root_eq h_sep h_root h_splits h_roots]
trans EuclideanDomain.gcd (?_ : E[X]) (?_ : E[X])
· dsimp only [γ]
convert (gcd_map (algebraMap F⟮γ⟯ E)).symm
· simp only [map_comp, Polynomial.map_map, ← IsScalarTower.algebraMap_eq, Polynomial.map_sub,
map_C, AdjoinSimple.algebraMap_gen, map_add, Polynomial.map_mul, map_X]
congr
-- If `F` is infinite and `E/F` has only finitely many intermediate fields, then for any
-- `α` and `β` in `E`, `F⟮α, β⟯` is generated by a single element.
-- Marked as private since it's a special case of
-- `exists_primitive_element_of_finite_intermediateField`.
private theorem primitive_element_inf_aux_of_finite_intermediateField
[Finite (IntermediateField F E)] : ∃ γ : E, F⟮α, β⟯ = F⟮γ⟯ := by
let f : F → IntermediateField F E := fun x ↦ F⟮α + x • β⟯
obtain ⟨x, y, hneq, heq⟩ := Finite.exists_ne_map_eq_of_infinite f
use α + x • β
apply le_antisymm
· rw [adjoin_le_iff]
have αxβ_in_K : α + x • β ∈ F⟮α + x • β⟯ := mem_adjoin_simple_self F _
have αyβ_in_K : α + y • β ∈ F⟮α + y • β⟯ := mem_adjoin_simple_self F _
dsimp [f] at *
simp only [← heq] at αyβ_in_K
have β_in_K := sub_mem αxβ_in_K αyβ_in_K
rw [show (α + x • β) - (α + y • β) = (x - y) • β by rw [sub_smul]; abel1] at β_in_K
replace β_in_K := smul_mem _ β_in_K (x := (x - y)⁻¹)
rw [smul_smul, inv_mul_eq_div, div_self (sub_ne_zero.2 hneq), one_smul] at β_in_K
have α_in_K : α ∈ F⟮α + x • β⟯ := by
convert ← sub_mem αxβ_in_K (smul_mem _ β_in_K)
apply add_sub_cancel_right
rintro x (rfl | rfl) <;> assumption
· rw [adjoin_simple_le_iff]
have α_in_Fαβ : α ∈ F⟮α, β⟯ := subset_adjoin F {α, β} (Set.mem_insert α {β})
have β_in_Fαβ : β ∈ F⟮α, β⟯ := subset_adjoin F {α, β} (Set.mem_insert_of_mem α rfl)
exact F⟮α, β⟯.add_mem α_in_Fαβ (F⟮α, β⟯.smul_mem β_in_Fαβ)
end PrimitiveElementInf
variable (F E : Type*) [Field F] [Field E]
variable [Algebra F E]
section SeparableAssumption
variable [FiniteDimensional F E] [Algebra.IsSeparable F E]
/-- **Primitive element theorem**: a finite separable field extension `E` of `F` has a
primitive element, i.e. there is an `α ∈ E` such that `F⟮α⟯ = (⊤ : Subalgebra F E)`. -/
@[stacks 030N "The moreover part"]
theorem exists_primitive_element : ∃ α : E, F⟮α⟯ = ⊤ := by
rcases isEmpty_or_nonempty (Fintype F) with (F_inf | ⟨⟨F_finite⟩⟩)
· let P : IntermediateField F E → Prop := fun K => ∃ α : E, F⟮α⟯ = K
have base : P ⊥ := ⟨0, adjoin_zero⟩
have ih : ∀ (K : IntermediateField F E) (x : E), P K → P (K⟮x⟯.restrictScalars F) := by
intro K β hK
obtain ⟨α, hK⟩ := hK
rw [← hK, adjoin_simple_adjoin_simple]
haveI : Infinite F := isEmpty_fintype.mp F_inf
obtain ⟨γ, hγ⟩ := primitive_element_inf_aux F α β
exact ⟨γ, hγ.symm⟩
exact induction_on_adjoin P base ih ⊤
· exact exists_primitive_element_of_finite_bot F E
/-- Alternative phrasing of primitive element theorem:
a finite separable field extension has a basis `1, α, α^2, ..., α^n`.
See also `exists_primitive_element`. -/
noncomputable def powerBasisOfFiniteOfSeparable : PowerBasis F E :=
let α := (exists_primitive_element F E).choose
let pb := adjoin.powerBasis (Algebra.IsSeparable.isIntegral F α)
have e : F⟮α⟯ = ⊤ := (exists_primitive_element F E).choose_spec
pb.map ((IntermediateField.equivOfEq e).trans IntermediateField.topEquiv)
end SeparableAssumption
section FiniteIntermediateField
-- TODO: show a more generalized result: [F⟮α⟯ : F⟮α ^ m⟯] = m if m > 0 and α transcendental.
theorem isAlgebraic_of_adjoin_eq_adjoin {α : E} {m n : ℕ} (hneq : m ≠ n)
(heq : F⟮α ^ m⟯ = F⟮α ^ n⟯) : IsAlgebraic F α := by
wlog hmn : m < n
· exact this F E hneq.symm heq.symm (hneq.lt_or_lt.resolve_left hmn)
by_cases hm : m = 0
· rw [hm] at heq hmn
simp only [pow_zero, adjoin_one] at heq
obtain ⟨y, h⟩ := mem_bot.1 (heq.symm ▸ mem_adjoin_simple_self F (α ^ n))
refine ⟨X ^ n - C y, X_pow_sub_C_ne_zero hmn y, ?_⟩
simp only [map_sub, map_pow, aeval_X, aeval_C, h, sub_self]
obtain ⟨r, s, h⟩ := (mem_adjoin_simple_iff F _).1 (heq ▸ mem_adjoin_simple_self F (α ^ m))
by_cases hzero : aeval (α ^ n) s = 0
· simp only [hzero, div_zero, pow_eq_zero_iff hm] at h
exact h.symm ▸ isAlgebraic_zero
replace hm : 0 < m := Nat.pos_of_ne_zero hm
rw [eq_div_iff hzero, ← sub_eq_zero] at h
replace hzero : s ≠ 0 := by rintro rfl; simp only [map_zero, not_true_eq_false] at hzero
let f : F[X] := X ^ m * expand F n s - expand F n r
refine ⟨f, ?_, ?_⟩
· have : f.coeff (n * s.natDegree + m) ≠ 0 := by
have hn : 0 < n := by linarith only [hm, hmn]
have hndvd : ¬ n ∣ n * s.natDegree + m := by
rw [← Nat.dvd_add_iff_right (n.dvd_mul_right s.natDegree)]
exact Nat.not_dvd_of_pos_of_lt hm hmn
simp only [f, coeff_sub, coeff_X_pow_mul, s.coeff_expand_mul' hn, coeff_natDegree,
coeff_expand hn r, hndvd, ite_false, sub_zero]
exact leadingCoeff_ne_zero.2 hzero
intro h
simp only [h, coeff_zero, ne_eq, not_true_eq_false] at this
· simp only [f, map_sub, map_mul, map_pow, aeval_X, expand_aeval, h]
theorem isAlgebraic_of_finite_intermediateField
[Finite (IntermediateField F E)] : Algebra.IsAlgebraic F E := ⟨fun α ↦
have ⟨_m, _n, hneq, heq⟩ := Finite.exists_ne_map_eq_of_infinite fun n ↦ F⟮α ^ n⟯
isAlgebraic_of_adjoin_eq_adjoin F E hneq heq⟩
theorem FiniteDimensional.of_finite_intermediateField
[Finite (IntermediateField F E)] : FiniteDimensional F E := by
let IF := { K : IntermediateField F E // ∃ x, K = F⟮x⟯ }
have := isAlgebraic_of_finite_intermediateField F E
haveI : ∀ K : IF, FiniteDimensional F K.1 := fun ⟨_, x, rfl⟩ ↦ adjoin.finiteDimensional
(Algebra.IsIntegral.isIntegral _)
have hfin := finiteDimensional_iSup_of_finite (t := fun K : IF ↦ K.1)
have htop : ⨆ K : IF, K.1 = ⊤ := le_top.antisymm fun x _ ↦
le_iSup (fun K : IF ↦ K.1) ⟨F⟮x⟯, x, rfl⟩ <| mem_adjoin_simple_self F x
rw [htop] at hfin
exact topEquiv.toLinearEquiv.finiteDimensional
theorem exists_primitive_element_of_finite_intermediateField
[Finite (IntermediateField F E)] (K : IntermediateField F E) : ∃ α : E, F⟮α⟯ = K := by
haveI := FiniteDimensional.of_finite_intermediateField F E
rcases finite_or_infinite F with (_ | _)
· obtain ⟨α, h⟩ := exists_primitive_element_of_finite_bot F K
exact ⟨α, by simpa only [lift_adjoin_simple, lift_top] using congr_arg lift h⟩
· apply induction_on_adjoin (fun K ↦ ∃ α : E, F⟮α⟯ = K) ⟨0, adjoin_zero⟩
rintro K β ⟨α, rfl⟩
simp_rw [adjoin_simple_adjoin_simple, eq_comm]
exact primitive_element_inf_aux_of_finite_intermediateField F α β
theorem FiniteDimensional.of_exists_primitive_element [Algebra.IsAlgebraic F E]
(h : ∃ α : E, F⟮α⟯ = ⊤) : FiniteDimensional F E := by
obtain ⟨α, hprim⟩ := h
have hfin := adjoin.finiteDimensional (Algebra.IsIntegral.isIntegral (R := F) α)
rw [hprim] at hfin
exact topEquiv.toLinearEquiv.finiteDimensional
-- A finite simple extension has only finitely many intermediate fields
theorem finite_intermediateField_of_exists_primitive_element [Algebra.IsAlgebraic F E]
(h : ∃ α : E, F⟮α⟯ = ⊤) : Finite (IntermediateField F E) := by
haveI := FiniteDimensional.of_exists_primitive_element F E h
obtain ⟨α, hprim⟩ := h
-- Let `f` be the minimal polynomial of `α ∈ E` over `F`
let f : F[X] := minpoly F α
let G := { g : E[X] // g.Monic ∧ g ∣ f.map (algebraMap F E) }
-- Then `f` has only finitely many monic factors
have hfin : Finite G := @Finite.of_fintype _ <| fintypeSubtypeMonicDvd
(f.map (algebraMap F E)) <| map_ne_zero (minpoly.ne_zero_of_finite F α)
-- If `K` is an intermediate field of `E/F`, let `g` be the minimal polynomial of `α` over `K`
-- which is a monic factor of `f`
let g : IntermediateField F E → G := fun K ↦
⟨(minpoly K α).map (algebraMap K E), (minpoly.monic <| .of_finite K α).map _, by
convert Polynomial.map_dvd (algebraMap K E) (minpoly.dvd_map_of_isScalarTower F K α)
rw [Polynomial.map_map]; rfl⟩
-- The map `K ↦ g` is injective
have hinj : Function.Injective g := fun K K' heq ↦ by
rw [Subtype.mk.injEq] at heq
apply_fun fun f : E[X] ↦ adjoin F (f.coeffs : Set E) at heq
simpa only [adjoin_minpoly_coeff_of_exists_primitive_element F hprim] using heq
-- Therefore there are only finitely many intermediate fields
exact Finite.of_injective g hinj
/-- **Steinitz theorem**: an algebraic extension `E` of `F` has a
primitive element (i.e. there is an `α ∈ E` such that `F⟮α⟯ = (⊤ : Subalgebra F E)`)
if and only if there exist only finitely many intermediate fields between `E` and `F`. -/
@[stacks 030N "Equivalence of (1) & (2)"]
theorem exists_primitive_element_iff_finite_intermediateField :
(Algebra.IsAlgebraic F E ∧ ∃ α : E, F⟮α⟯ = ⊤) ↔ Finite (IntermediateField F E) :=
⟨fun ⟨_, h⟩ ↦ finite_intermediateField_of_exists_primitive_element F E h,
fun _ ↦ ⟨isAlgebraic_of_finite_intermediateField F E,
exists_primitive_element_of_finite_intermediateField F E _⟩⟩
end FiniteIntermediateField
end Field
variable (F E : Type*) [Field F] [Field E] [Algebra F E]
[FiniteDimensional F E] [Algebra.IsSeparable F E]
@[simp]
theorem AlgHom.card_of_splits (L : Type*) [Field L] [Algebra F L]
(hL : ∀ x : E, (minpoly F x).Splits (algebraMap F L)) :
Fintype.card (E →ₐ[F] L) = finrank F E := by
convert (AlgHom.card_of_powerBasis (L := L) (Field.powerBasisOfFiniteOfSeparable F E)
(Algebra.IsSeparable.isSeparable _ _) <| hL _).trans
(PowerBasis.finrank _).symm
@[simp]
theorem AlgHom.card (K : Type*) [Field K] [IsAlgClosed K] [Algebra F K] :
Fintype.card (E →ₐ[F] K) = finrank F E :=
AlgHom.card_of_splits _ _ _ (fun _ ↦ IsAlgClosed.splits_codomain _)
section iff
|
namespace Field
open Module IntermediateField Polynomial Algebra Set
| Mathlib/FieldTheory/PrimitiveElement.lean | 358 | 361 |
/-
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.Algebra.Order.Group.Defs
import Mathlib.Algebra.Order.Group.Unbundled.Abs
import Mathlib.Algebra.Order.Monoid.Unbundled.Pow
/-!
# Absolute values in ordered groups
The absolute value of an element in a group which is also a lattice is its supremum with its
negation. This generalizes the usual absolute value on real numbers (`|x| = max x (-x)`).
## Notations
- `|a|`: The *absolute value* of an element `a` of an additive lattice ordered group
- `|a|ₘ`: The *absolute value* of an element `a` of a multiplicative lattice ordered group
-/
open Function
variable {G : Type*}
section LinearOrderedCommGroup
variable [CommGroup G] [LinearOrder G] [IsOrderedMonoid G] {a b c : G}
@[to_additive] lemma mabs_pow (n : ℕ) (a : G) : |a ^ n|ₘ = |a|ₘ ^ n := by
obtain ha | ha := le_total a 1
· rw [mabs_of_le_one ha, ← mabs_inv, ← inv_pow, mabs_of_one_le]
exact one_le_pow_of_one_le' (one_le_inv'.2 ha) n
· rw [mabs_of_one_le ha, mabs_of_one_le (one_le_pow_of_one_le' ha n)]
@[to_additive] private lemma mabs_mul_eq_mul_mabs_le (hab : a ≤ b) :
|a * b|ₘ = |a|ₘ * |b|ₘ ↔ 1 ≤ a ∧ 1 ≤ b ∨ a ≤ 1 ∧ b ≤ 1 := by
obtain ha | ha := le_or_lt 1 a <;> obtain hb | hb := le_or_lt 1 b
· simp [ha, hb, mabs_of_one_le, one_le_mul ha hb]
· exact (lt_irrefl (1 : G) <| ha.trans_lt <| hab.trans_lt hb).elim
swap
· simp [ha.le, hb.le, mabs_of_le_one, mul_le_one', mul_comm]
have : (|a * b|ₘ = a⁻¹ * b ↔ b ≤ 1) ↔
(|a * b|ₘ = |a|ₘ * |b|ₘ ↔ 1 ≤ a ∧ 1 ≤ b ∨ a ≤ 1 ∧ b ≤ 1) := by
simp [ha.le, ha.not_le, hb, mabs_of_le_one, mabs_of_one_le]
refine this.mp ⟨fun h ↦ ?_, fun h ↦ by simp only [h.antisymm hb, mabs_of_lt_one ha, mul_one]⟩
obtain ab | ab := le_or_lt (a * b) 1
· refine (eq_one_of_inv_eq' ?_).le
rwa [mabs_of_le_one ab, mul_inv_rev, mul_comm, mul_right_inj] at h
· rw [mabs_of_one_lt ab, mul_left_inj] at h
rw [eq_one_of_inv_eq' h.symm] at ha
cases ha.false
@[to_additive] lemma mabs_mul_eq_mul_mabs_iff (a b : G) :
|a * b|ₘ = |a|ₘ * |b|ₘ ↔ 1 ≤ a ∧ 1 ≤ b ∨ a ≤ 1 ∧ b ≤ 1 := by
obtain ab | ab := le_total a b
· exact mabs_mul_eq_mul_mabs_le ab
· simpa only [mul_comm, and_comm] using mabs_mul_eq_mul_mabs_le ab
@[to_additive]
theorem mabs_le : |a|ₘ ≤ b ↔ b⁻¹ ≤ a ∧ a ≤ b := by rw [mabs_le', and_comm, inv_le']
@[to_additive]
theorem le_mabs' : a ≤ |b|ₘ ↔ b ≤ a⁻¹ ∨ a ≤ b := by rw [le_mabs, or_comm, le_inv']
@[to_additive]
theorem inv_le_of_mabs_le (h : |a|ₘ ≤ b) : b⁻¹ ≤ a :=
(mabs_le.mp h).1
@[to_additive]
theorem le_of_mabs_le (h : |a|ₘ ≤ b) : a ≤ b :=
(mabs_le.mp h).2
/-- The **triangle inequality** in `LinearOrderedCommGroup`s. -/
@[to_additive "The **triangle inequality** in `LinearOrderedAddCommGroup`s."]
theorem mabs_mul (a b : G) : |a * b|ₘ ≤ |a|ₘ * |b|ₘ := by
rw [mabs_le, mul_inv]
constructor <;> gcongr <;> apply_rules [inv_mabs_le, le_mabs_self]
@[to_additive]
theorem mabs_mul' (a b : G) : |a|ₘ ≤ |b|ₘ * |b * a|ₘ := by simpa using mabs_mul b⁻¹ (b * a)
@[to_additive]
theorem mabs_div (a b : G) : |a / b|ₘ ≤ |a|ₘ * |b|ₘ := by
rw [div_eq_mul_inv, ← mabs_inv b]
exact mabs_mul a _
@[to_additive]
theorem mabs_div_le_iff : |a / b|ₘ ≤ c ↔ a / b ≤ c ∧ b / a ≤ c := by
rw [mabs_le, inv_le_div_iff_le_mul, div_le_iff_le_mul', and_comm, div_le_iff_le_mul']
@[to_additive]
theorem mabs_div_lt_iff : |a / b|ₘ < c ↔ a / b < c ∧ b / a < c := by
rw [mabs_lt, inv_lt_div_iff_lt_mul', div_lt_iff_lt_mul', and_comm, div_lt_iff_lt_mul']
@[to_additive]
theorem div_le_of_mabs_div_le_left (h : |a / b|ₘ ≤ c) : b / c ≤ a :=
div_le_comm.1 <| (mabs_div_le_iff.1 h).2
@[to_additive]
theorem div_le_of_mabs_div_le_right (h : |a / b|ₘ ≤ c) : a / c ≤ b :=
div_le_of_mabs_div_le_left (mabs_div_comm a b ▸ h)
@[to_additive]
theorem div_lt_of_mabs_div_lt_left (h : |a / b|ₘ < c) : b / c < a :=
div_lt_comm.1 <| (mabs_div_lt_iff.1 h).2
@[to_additive]
theorem div_lt_of_mabs_div_lt_right (h : |a / b|ₘ < c) : a / c < b :=
div_lt_of_mabs_div_lt_left (mabs_div_comm a b ▸ h)
@[to_additive]
theorem mabs_div_mabs_le_mabs_div (a b : G) : |a|ₘ / |b|ₘ ≤ |a / b|ₘ :=
div_le_iff_le_mul.2 <|
calc
|a|ₘ = |a / b * b|ₘ := by rw [div_mul_cancel]
_ ≤ |a / b|ₘ * |b|ₘ := mabs_mul _ _
@[to_additive]
theorem mabs_mabs_div_mabs_le_mabs_div (a b : G) : |(|a|ₘ / |b|ₘ)|ₘ ≤ |a / b|ₘ :=
mabs_div_le_iff.2
⟨mabs_div_mabs_le_mabs_div _ _, by rw [mabs_div_comm]; apply mabs_div_mabs_le_mabs_div⟩
/-- `|a / b|ₘ ≤ n` if `1 ≤ a ≤ n` and `1 ≤ b ≤ n`. -/
@[to_additive "`|a - b| ≤ n` if `0 ≤ a ≤ n` and `0 ≤ b ≤ n`."]
theorem mabs_div_le_of_one_le_of_le {a b n : G} (one_le_a : 1 ≤ a) (a_le_n : a ≤ n)
(one_le_b : 1 ≤ b) (b_le_n : b ≤ n) : |a / b|ₘ ≤ n := by
rw [mabs_div_le_iff, div_le_iff_le_mul, div_le_iff_le_mul]
exact ⟨le_mul_of_le_of_one_le a_le_n one_le_b, le_mul_of_le_of_one_le b_le_n one_le_a⟩
/-- `|a - b| < n` if `0 ≤ a < n` and `0 ≤ b < n`. -/
@[to_additive "`|a / b|ₘ < n` if `1 ≤ a < n` and `1 ≤ b < n`."]
theorem mabs_div_lt_of_one_le_of_lt {a b n : G} (one_le_a : 1 ≤ a) (a_lt_n : a < n)
(one_le_b : 1 ≤ b) (b_lt_n : b < n) : |a / b|ₘ < n := by
rw [mabs_div_lt_iff, div_lt_iff_lt_mul, div_lt_iff_lt_mul]
exact ⟨lt_mul_of_lt_of_one_le a_lt_n one_le_b, lt_mul_of_lt_of_one_le b_lt_n one_le_a⟩
@[to_additive]
theorem mabs_eq (hb : 1 ≤ b) : |a|ₘ = b ↔ a = b ∨ a = b⁻¹ := by
refine ⟨eq_or_eq_inv_of_mabs_eq, ?_⟩
rintro (rfl | rfl) <;> simp only [mabs_inv, mabs_of_one_le hb]
@[to_additive]
theorem mabs_le_max_mabs_mabs (hab : a ≤ b) (hbc : b ≤ c) : |b|ₘ ≤ max |a|ₘ |c|ₘ :=
mabs_le'.2
⟨by simp [hbc.trans (le_mabs_self c)], by
simp [(inv_le_inv_iff.mpr hab).trans (inv_le_mabs a)]⟩
omit [IsOrderedMonoid G] in
@[to_additive]
theorem min_mabs_mabs_le_mabs_max : min |a|ₘ |b|ₘ ≤ |max a b|ₘ :=
(le_total a b).elim (fun h => (min_le_right _ _).trans_eq <| congr_arg _ (max_eq_right h).symm)
fun h => (min_le_left _ _).trans_eq <| congr_arg _ (max_eq_left h).symm
omit [IsOrderedMonoid G] in
@[to_additive]
theorem min_mabs_mabs_le_mabs_min : min |a|ₘ |b|ₘ ≤ |min a b|ₘ :=
(le_total a b).elim (fun h => (min_le_left _ _).trans_eq <| congr_arg _ (min_eq_left h).symm)
fun h => (min_le_right _ _).trans_eq <| congr_arg _ (min_eq_right h).symm
omit [IsOrderedMonoid G] in
@[to_additive]
theorem mabs_max_le_max_mabs_mabs : |max a b|ₘ ≤ max |a|ₘ |b|ₘ :=
(le_total a b).elim (fun h => (congr_arg _ <| max_eq_right h).trans_le <| le_max_right _ _)
fun h => (congr_arg _ <| max_eq_left h).trans_le <| le_max_left _ _
omit [IsOrderedMonoid G] in
@[to_additive]
theorem mabs_min_le_max_mabs_mabs : |min a b|ₘ ≤ max |a|ₘ |b|ₘ :=
(le_total a b).elim (fun h => (congr_arg _ <| min_eq_left h).trans_le <| le_max_left _ _) fun h =>
(congr_arg _ <| min_eq_right h).trans_le <| le_max_right _ _
@[to_additive]
theorem eq_of_mabs_div_eq_one {a b : G} (h : |a / b|ₘ = 1) : a = b :=
div_eq_one.1 <| mabs_eq_one.1 h
@[to_additive]
theorem mabs_div_le (a b c : G) : |a / c|ₘ ≤ |a / b|ₘ * |b / c|ₘ :=
calc
|a / c|ₘ = |a / b * (b / c)|ₘ := by rw [div_mul_div_cancel]
_ ≤ |a / b|ₘ * |b / c|ₘ := mabs_mul _ _
@[to_additive]
theorem mabs_mul_three (a b c : G) : |a * b * c|ₘ ≤ |a|ₘ * |b|ₘ * |c|ₘ :=
(mabs_mul _ _).trans (mul_le_mul_right' (mabs_mul _ _) _)
@[to_additive]
theorem mabs_div_le_of_le_of_le {a b lb ub : G} (hal : lb ≤ a) (hau : a ≤ ub) (hbl : lb ≤ b)
(hbu : b ≤ ub) : |a / b|ₘ ≤ ub / lb :=
mabs_div_le_iff.2 ⟨div_le_div'' hau hbl, div_le_div'' hbu hal⟩
@[deprecated (since := "2025-03-02")]
alias dist_bdd_within_interval := abs_sub_le_of_le_of_le
@[to_additive]
theorem eq_of_mabs_div_le_one (h : |a / b|ₘ ≤ 1) : a = b :=
eq_of_mabs_div_eq_one (le_antisymm h (one_le_mabs (a / b)))
@[to_additive]
lemma eq_of_mabs_div_lt_all {x y : G} (h : ∀ ε > 1, |x / y|ₘ < ε) : x = y :=
eq_of_mabs_div_le_one <| forall_lt_iff_le'.mp h
@[to_additive]
lemma eq_of_mabs_div_le_all [DenselyOrdered G] {x y : G} (h : ∀ ε > 1, |x / y|ₘ ≤ ε) : x = y :=
eq_of_mabs_div_le_one <| forall_gt_imp_ge_iff_le_of_dense.mp h
@[to_additive]
theorem mabs_div_le_one : |a / b|ₘ ≤ 1 ↔ a = b :=
⟨eq_of_mabs_div_le_one, by rintro rfl; rw [div_self', mabs_one]⟩
@[to_additive]
theorem mabs_div_pos : 1 < |a / b|ₘ ↔ a ≠ b :=
not_le.symm.trans mabs_div_le_one.not
@[to_additive (attr := simp)]
theorem mabs_eq_self : |a|ₘ = a ↔ 1 ≤ a := by
rw [mabs_eq_max_inv, max_eq_left_iff, inv_le_self_iff]
@[to_additive (attr := simp)]
theorem mabs_eq_inv_self : |a|ₘ = a⁻¹ ↔ a ≤ 1 := by
rw [mabs_eq_max_inv, max_eq_right_iff, le_inv_self_iff]
/-- For an element `a` of a multiplicative linear ordered group,
either `|a|ₘ = a` and `1 ≤ a`, or `|a|ₘ = a⁻¹` and `a < 1`. -/
@[to_additive
"For an element `a` of an additive linear ordered group,
either `|a| = a` and `0 ≤ a`, or `|a| = -a` and `a < 0`.
Use cases on this lemma to automate linarith in inequalities"]
theorem mabs_cases (a : G) : |a|ₘ = a ∧ 1 ≤ a ∨ |a|ₘ = a⁻¹ ∧ a < 1 := by
cases le_or_lt 1 a <;> simp [*, le_of_lt]
@[to_additive (attr := simp)]
theorem max_one_mul_max_inv_one_eq_mabs_self (a : G) : max a 1 * max a⁻¹ 1 = |a|ₘ := by
symm
rcases le_total 1 a with (ha | ha) <;> simp [ha]
end LinearOrderedCommGroup
section LinearOrderedAddCommGroup
variable [AddCommGroup G] [LinearOrder G] [IsOrderedAddMonoid G] {a b c : G}
@[to_additive]
theorem apply_abs_le_mul_of_one_le' {H : Type*} [MulOneClass H] [LE H]
[MulLeftMono H] [MulRightMono H] {f : G → H}
{a : G} (h₁ : 1 ≤ f a) (h₂ : 1 ≤ f (-a)) : f |a| ≤ f a * f (-a) :=
(le_total a 0).rec (fun ha => (abs_of_nonpos ha).symm ▸ le_mul_of_one_le_left' h₁) fun ha =>
(abs_of_nonneg ha).symm ▸ le_mul_of_one_le_right' h₂
@[to_additive]
theorem apply_abs_le_mul_of_one_le {H : Type*} [MulOneClass H] [LE H]
[MulLeftMono H] [MulRightMono H] {f : G → H}
(h : ∀ x, 1 ≤ f x) (a : G) : f |a| ≤ f a * f (-a) :=
apply_abs_le_mul_of_one_le' (h _) (h _)
end LinearOrderedAddCommGroup
| Mathlib/Algebra/Order/Group/Abs.lean | 429 | 430 | |
/-
Copyright (c) 2020 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta, Jakob von Raumer
-/
import Mathlib.Data.List.Chain
import Mathlib.CategoryTheory.PUnit
import Mathlib.CategoryTheory.Groupoid
import Mathlib.CategoryTheory.Category.ULift
/-!
# Connected category
Define a connected category as a _nonempty_ category for which every functor
to a discrete category is isomorphic to the constant functor.
NB. Some authors include the empty category as connected, we do not.
We instead are interested in categories with exactly one 'connected
component'.
We give some equivalent definitions:
- A nonempty category for which every functor to a discrete category is
constant on objects.
See `any_functor_const_on_obj` and `Connected.of_any_functor_const_on_obj`.
- A nonempty category for which every function `F` for which the presence of a
morphism `f : j₁ ⟶ j₂` implies `F j₁ = F j₂` must be constant everywhere.
See `constant_of_preserves_morphisms` and `Connected.of_constant_of_preserves_morphisms`.
- A nonempty category for which any subset of its elements containing the
default and closed under morphisms is everything.
See `induct_on_objects` and `Connected.of_induct`.
- A nonempty category for which every object is related under the reflexive
transitive closure of the relation "there is a morphism in some direction
from `j₁` to `j₂`".
See `connected_zigzag` and `zigzag_connected`.
- A nonempty category for which for any two objects there is a sequence of
morphisms (some reversed) from one to the other.
See `exists_zigzag'` and `connected_of_zigzag`.
We also prove the result that the functor given by `(X × -)` preserves any
connected limit. That is, any limit of shape `J` where `J` is a connected
category is preserved by the functor `(X × -)`. This appears in `CategoryTheory.Limits.Connected`.
-/
universe w₁ w₂ v₁ v₂ u₁ u₂
noncomputable section
open CategoryTheory.Category
open Opposite
namespace CategoryTheory
/-- A possibly empty category for which every functor to a discrete category is constant.
-/
class IsPreconnected (J : Type u₁) [Category.{v₁} J] : Prop where
iso_constant :
∀ {α : Type u₁} (F : J ⥤ Discrete α) (j : J), Nonempty (F ≅ (Functor.const J).obj (F.obj j))
attribute [inherit_doc IsPreconnected] IsPreconnected.iso_constant
/-- We define a connected category as a _nonempty_ category for which every
functor to a discrete category is constant.
NB. Some authors include the empty category as connected, we do not.
We instead are interested in categories with exactly one 'connected
component'.
This allows us to show that the functor X ⨯ - preserves connected limits. -/
@[stacks 002S]
class IsConnected (J : Type u₁) [Category.{v₁} J] : Prop extends IsPreconnected J where
[is_nonempty : Nonempty J]
attribute [instance 100] IsConnected.is_nonempty
variable {J : Type u₁} [Category.{v₁} J]
variable {K : Type u₂} [Category.{v₂} K]
namespace IsPreconnected.IsoConstantAux
/-- Implementation detail of `isoConstant`. -/
private def liftToDiscrete {α : Type u₂} (F : J ⥤ Discrete α) : J ⥤ Discrete J where
obj j := have := Nonempty.intro j
Discrete.mk (Function.invFun F.obj (F.obj j))
map {j _} f := have := Nonempty.intro j
⟨⟨congr_arg (Function.invFun F.obj) (Discrete.ext (Discrete.eq_of_hom (F.map f)))⟩⟩
/-- Implementation detail of `isoConstant`. -/
private def factorThroughDiscrete {α : Type u₂} (F : J ⥤ Discrete α) :
liftToDiscrete F ⋙ Discrete.functor F.obj ≅ F :=
NatIso.ofComponents (fun _ => eqToIso Function.apply_invFun_apply) (by aesop_cat)
end IsPreconnected.IsoConstantAux
/-- If `J` is connected, any functor `F : J ⥤ Discrete α` is isomorphic to
the constant functor with value `F.obj j` (for any choice of `j`).
-/
def isoConstant [IsPreconnected J] {α : Type u₂} (F : J ⥤ Discrete α) (j : J) :
F ≅ (Functor.const J).obj (F.obj j) :=
(IsPreconnected.IsoConstantAux.factorThroughDiscrete F).symm
≪≫ isoWhiskerRight (IsPreconnected.iso_constant _ j).some _
≪≫ NatIso.ofComponents (fun _ => eqToIso Function.apply_invFun_apply) (by simp)
/-- If `J` is connected, any functor to a discrete category is constant on objects.
The converse is given in `IsConnected.of_any_functor_const_on_obj`.
-/
theorem any_functor_const_on_obj [IsPreconnected J] {α : Type u₂} (F : J ⥤ Discrete α) (j j' : J) :
F.obj j = F.obj j' := by
ext; exact ((isoConstant F j').hom.app j).down.1
/-- If any functor to a discrete category is constant on objects, J is connected.
The converse of `any_functor_const_on_obj`.
-/
theorem IsPreconnected.of_any_functor_const_on_obj
(h : ∀ {α : Type u₁} (F : J ⥤ Discrete α), ∀ j j' : J, F.obj j = F.obj j') :
IsPreconnected J where
iso_constant := fun F j' => ⟨NatIso.ofComponents fun j => eqToIso (h F j j')⟩
instance IsPreconnected.prod [IsPreconnected J] [IsPreconnected K] : IsPreconnected (J × K) := by
refine .of_any_functor_const_on_obj (fun {a} F ⟨j, k⟩ ⟨j', k'⟩ => ?_)
exact (any_functor_const_on_obj (Prod.sectL J k ⋙ F) j j').trans
(any_functor_const_on_obj (Prod.sectR j' K ⋙ F) k k')
instance IsConnected.prod [IsConnected J] [IsConnected K] : IsConnected (J × K) where
/-- If any functor to a discrete category is constant on objects, J is connected.
The converse of `any_functor_const_on_obj`.
-/
theorem IsConnected.of_any_functor_const_on_obj [Nonempty J]
(h : ∀ {α : Type u₁} (F : J ⥤ Discrete α), ∀ j j' : J, F.obj j = F.obj j') : IsConnected J :=
{ IsPreconnected.of_any_functor_const_on_obj h with }
/-- If `J` is connected, then given any function `F` such that the presence of a
morphism `j₁ ⟶ j₂` implies `F j₁ = F j₂`, we have that `F` is constant.
This can be thought of as a local-to-global property.
The converse is shown in `IsConnected.of_constant_of_preserves_morphisms`
-/
theorem constant_of_preserves_morphisms [IsPreconnected J] {α : Type u₂} (F : J → α)
(h : ∀ (j₁ j₂ : J) (_ : j₁ ⟶ j₂), F j₁ = F j₂) (j j' : J) : F j = F j' := by
simpa using
any_functor_const_on_obj
{ obj := Discrete.mk ∘ F
map := fun f => eqToHom (by ext; exact h _ _ f) }
j j'
/-- `J` is connected if: given any function `F : J → α` which is constant for any
`j₁, j₂` for which there is a morphism `j₁ ⟶ j₂`, then `F` is constant.
This can be thought of as a local-to-global property.
The converse of `constant_of_preserves_morphisms`.
-/
theorem IsPreconnected.of_constant_of_preserves_morphisms
(h : ∀ {α : Type u₁} (F : J → α),
(∀ {j₁ j₂ : J} (_ : j₁ ⟶ j₂), F j₁ = F j₂) → ∀ j j' : J, F j = F j') :
IsPreconnected J :=
IsPreconnected.of_any_functor_const_on_obj fun F =>
h F.obj fun f => by ext; exact Discrete.eq_of_hom (F.map f)
/-- `J` is connected if: given any function `F : J → α` which is constant for any
`j₁, j₂` for which there is a morphism `j₁ ⟶ j₂`, then `F` is constant.
This can be thought of as a local-to-global property.
The converse of `constant_of_preserves_morphisms`.
-/
theorem IsConnected.of_constant_of_preserves_morphisms [Nonempty J]
(h : ∀ {α : Type u₁} (F : J → α),
(∀ {j₁ j₂ : J} (_ : j₁ ⟶ j₂), F j₁ = F j₂) → ∀ j j' : J, F j = F j') :
IsConnected J :=
{ IsPreconnected.of_constant_of_preserves_morphisms h with }
/-- An inductive-like property for the objects of a connected category.
If the set `p` is nonempty, and `p` is closed under morphisms of `J`,
then `p` contains all of `J`.
The converse is given in `IsConnected.of_induct`.
-/
theorem induct_on_objects [IsPreconnected J] (p : Set J) {j₀ : J} (h0 : j₀ ∈ p)
(h1 : ∀ {j₁ j₂ : J} (_ : j₁ ⟶ j₂), j₁ ∈ p ↔ j₂ ∈ p) (j : J) : j ∈ p := by
let aux (j₁ j₂ : J) (f : j₁ ⟶ j₂) := congrArg ULift.up <| (h1 f).eq
injection constant_of_preserves_morphisms (fun k => ULift.up.{u₁} (k ∈ p)) aux j j₀ with i
rwa [i]
/--
If any maximal connected component containing some element j₀ of J is all of J, then J is connected.
The converse of `induct_on_objects`.
-/
theorem IsConnected.of_induct {j₀ : J}
(h : ∀ p : Set J, j₀ ∈ p → (∀ {j₁ j₂ : J} (_ : j₁ ⟶ j₂), j₁ ∈ p ↔ j₂ ∈ p) → ∀ j : J, j ∈ p) :
IsConnected J :=
have := Nonempty.intro j₀
IsConnected.of_constant_of_preserves_morphisms fun {α} F a => by
have w := h { j | F j = F j₀ } rfl (fun {j₁} {j₂} f => by
change F j₁ = F j₀ ↔ F j₂ = F j₀
simp [a f])
intro j j'
rw [w j, w j']
/-- Lifting the universe level of morphisms and objects preserves connectedness. -/
instance [hc : IsConnected J] : IsConnected (ULiftHom.{v₂} (ULift.{u₂} J)) := by
apply IsConnected.of_induct
· rintro p hj₀ h ⟨j⟩
let p' : Set J := {j : J | p ⟨j⟩}
have hj₀' : Classical.choice hc.is_nonempty ∈ p' := by
simp only [p', (eq_self p')]
exact hj₀
apply induct_on_objects p' hj₀' fun f => h ((ULiftHomULiftCategory.equiv J).functor.map f)
/-- Another induction principle for `IsPreconnected J`:
given a type family `Z : J → Sort*` and
a rule for transporting in *both* directions along a morphism in `J`,
we can transport an `x : Z j₀` to a point in `Z j` for any `j`.
-/
theorem isPreconnected_induction [IsPreconnected J] (Z : J → Sort*)
(h₁ : ∀ {j₁ j₂ : J} (_ : j₁ ⟶ j₂), Z j₁ → Z j₂) (h₂ : ∀ {j₁ j₂ : J} (_ : j₁ ⟶ j₂), Z j₂ → Z j₁)
{j₀ : J} (x : Z j₀) (j : J) : Nonempty (Z j) :=
(induct_on_objects { j | Nonempty (Z j) } ⟨x⟩
(fun f => ⟨by rintro ⟨y⟩; exact ⟨h₁ f y⟩, by rintro ⟨y⟩; exact ⟨h₂ f y⟩⟩)
j :)
/-- If `J` and `K` are equivalent, then if `J` is preconnected then `K` is as well. -/
theorem isPreconnected_of_equivalent {K : Type u₂} [Category.{v₂} K] [IsPreconnected J]
(e : J ≌ K) : IsPreconnected K where
iso_constant F k :=
⟨calc
F ≅ e.inverse ⋙ e.functor ⋙ F := (e.invFunIdAssoc F).symm
_ ≅ e.inverse ⋙ (Functor.const J).obj ((e.functor ⋙ F).obj (e.inverse.obj k)) :=
isoWhiskerLeft e.inverse (isoConstant (e.functor ⋙ F) (e.inverse.obj k))
_ ≅ e.inverse ⋙ (Functor.const J).obj (F.obj k) :=
isoWhiskerLeft _ ((F ⋙ Functor.const J).mapIso (e.counitIso.app k))
_ ≅ (Functor.const K).obj (F.obj k) := NatIso.ofComponents fun _ => Iso.refl _⟩
lemma isPreconnected_iff_of_equivalence {K : Type u₂} [Category.{v₂} K] (e : J ≌ K) :
IsPreconnected J ↔ IsPreconnected K :=
⟨fun _ => isPreconnected_of_equivalent e, fun _ => isPreconnected_of_equivalent e.symm⟩
/-- If `J` and `K` are equivalent, then if `J` is connected then `K` is as well. -/
theorem isConnected_of_equivalent {K : Type u₂} [Category.{v₂} K] (e : J ≌ K) [IsConnected J] :
IsConnected K :=
{ is_nonempty := Nonempty.map e.functor.obj (by infer_instance)
toIsPreconnected := isPreconnected_of_equivalent e }
lemma isConnected_iff_of_equivalence {K : Type u₂} [Category.{v₂} K] (e : J ≌ K) :
IsConnected J ↔ IsConnected K :=
⟨fun _ => isConnected_of_equivalent e, fun _ => isConnected_of_equivalent e.symm⟩
/-- If `J` is preconnected, then `Jᵒᵖ` is preconnected as well. -/
instance isPreconnected_op [IsPreconnected J] : IsPreconnected Jᵒᵖ where
iso_constant := fun {α} F X =>
⟨NatIso.ofComponents fun Y =>
eqToIso (Discrete.ext (Discrete.eq_of_hom ((Nonempty.some
(IsPreconnected.iso_constant (F.rightOp ⋙ (Discrete.opposite α).functor) (unop X))).app
(unop Y)).hom))⟩
/-- If `J` is connected, then `Jᵒᵖ` is connected as well. -/
instance isConnected_op [IsConnected J] : IsConnected Jᵒᵖ where
is_nonempty := Nonempty.intro (op (Classical.arbitrary J))
theorem isPreconnected_of_isPreconnected_op [IsPreconnected Jᵒᵖ] : IsPreconnected J :=
isPreconnected_of_equivalent (opOpEquivalence J)
theorem isConnected_of_isConnected_op [IsConnected Jᵒᵖ] : IsConnected J :=
isConnected_of_equivalent (opOpEquivalence J)
variable (J) in
@[simp]
theorem isConnected_op_iff_isConnected : IsConnected Jᵒᵖ ↔ IsConnected J :=
⟨fun _ => isConnected_of_isConnected_op, fun _ => isConnected_op⟩
/-- j₁ and j₂ are related by `Zag` if there is a morphism between them. -/
def Zag (j₁ j₂ : J) : Prop :=
Nonempty (j₁ ⟶ j₂) ∨ Nonempty (j₂ ⟶ j₁)
@[refl] theorem Zag.refl (X : J) : Zag X X := Or.inl ⟨𝟙 _⟩
theorem zag_symmetric : Symmetric (@Zag J _) := fun _ _ h => h.symm
@[symm] theorem Zag.symm {j₁ j₂ : J} (h : Zag j₁ j₂) : Zag j₂ j₁ := zag_symmetric h
theorem Zag.of_hom {j₁ j₂ : J} (f : j₁ ⟶ j₂) : Zag j₁ j₂ := Or.inl ⟨f⟩
theorem Zag.of_inv {j₁ j₂ : J} (f : j₂ ⟶ j₁) : Zag j₁ j₂ := Or.inr ⟨f⟩
/-- `j₁` and `j₂` are related by `Zigzag` if there is a chain of
morphisms from `j₁` to `j₂`, with backward morphisms allowed.
-/
def Zigzag : J → J → Prop :=
Relation.ReflTransGen Zag
theorem zigzag_symmetric : Symmetric (@Zigzag J _) :=
Relation.ReflTransGen.symmetric zag_symmetric
theorem zigzag_equivalence : _root_.Equivalence (@Zigzag J _) :=
_root_.Equivalence.mk Relation.reflexive_reflTransGen (fun h => zigzag_symmetric h)
(fun h g => Relation.transitive_reflTransGen h g)
@[refl] theorem Zigzag.refl (X : J) : Zigzag X X := zigzag_equivalence.refl _
@[symm] theorem Zigzag.symm {j₁ j₂ : J} (h : Zigzag j₁ j₂) : Zigzag j₂ j₁ := zigzag_symmetric h
@[trans] theorem Zigzag.trans {j₁ j₂ j₃ : J} (h₁ : Zigzag j₁ j₂) (h₂ : Zigzag j₂ j₃) :
Zigzag j₁ j₃ :=
zigzag_equivalence.trans h₁ h₂
theorem Zigzag.of_zag {j₁ j₂ : J} (h : Zag j₁ j₂) : Zigzag j₁ j₂ :=
Relation.ReflTransGen.single h
theorem Zigzag.of_hom {j₁ j₂ : J} (f : j₁ ⟶ j₂) : Zigzag j₁ j₂ :=
of_zag (Zag.of_hom f)
theorem Zigzag.of_inv {j₁ j₂ : J} (f : j₂ ⟶ j₁) : Zigzag j₁ j₂ :=
of_zag (Zag.of_inv f)
theorem Zigzag.of_zag_trans {j₁ j₂ j₃ : J} (h₁ : Zag j₁ j₂) (h₂ : Zag j₂ j₃) : Zigzag j₁ j₃ :=
trans (of_zag h₁) (of_zag h₂)
theorem Zigzag.of_hom_hom {j₁ j₂ j₃ : J} (f₁₂ : j₁ ⟶ j₂) (f₂₃ : j₂ ⟶ j₃) : Zigzag j₁ j₃ :=
(of_hom f₁₂).trans (of_hom f₂₃)
theorem Zigzag.of_hom_inv {j₁ j₂ j₃ : J} (f₁₂ : j₁ ⟶ j₂) (f₃₂ : j₃ ⟶ j₂) : Zigzag j₁ j₃ :=
(of_hom f₁₂).trans (of_inv f₃₂)
theorem Zigzag.of_inv_hom {j₁ j₂ j₃ : J} (f₂₁ : j₂ ⟶ j₁) (f₂₃ : j₂ ⟶ j₃) : Zigzag j₁ j₃ :=
(of_inv f₂₁).trans (of_hom f₂₃)
theorem Zigzag.of_inv_inv {j₁ j₂ j₃ : J} (f₂₁ : j₂ ⟶ j₁) (f₃₂ : j₃ ⟶ j₂) : Zigzag j₁ j₃ :=
(of_inv f₂₁).trans (of_inv f₃₂)
/-- The setoid given by the equivalence relation `Zigzag`. A quotient for this
setoid is a connected component of the category.
-/
def Zigzag.setoid (J : Type u₂) [Category.{v₁} J] : Setoid J where
r := Zigzag
iseqv := zigzag_equivalence
/-- If there is a zigzag from `j₁` to `j₂`, then there is a zigzag from `F j₁` to
`F j₂` as long as `F` is a prefunctor.
-/
theorem zigzag_prefunctor_obj_of_zigzag (F : J ⥤q K) {j₁ j₂ : J} (h : Zigzag j₁ j₂) :
Zigzag (F.obj j₁) (F.obj j₂) :=
h.lift _ fun _ _ => Or.imp (Nonempty.map fun f => F.map f) (Nonempty.map fun f => F.map f)
/-- If there is a zigzag from `j₁` to `j₂`, then there is a zigzag from `F j₁` to
`F j₂` as long as `F` is a functor.
-/
theorem zigzag_obj_of_zigzag (F : J ⥤ K) {j₁ j₂ : J} (h : Zigzag j₁ j₂) :
Zigzag (F.obj j₁) (F.obj j₂) :=
zigzag_prefunctor_obj_of_zigzag F.toPrefunctor h
/-- A Zag in a discrete category entails an equality of its extremities -/
lemma eq_of_zag (X) {a b : Discrete X} (h : Zag a b) : a.as = b.as :=
h.elim (fun ⟨f⟩ ↦ Discrete.eq_of_hom f) (fun ⟨f⟩ ↦ (Discrete.eq_of_hom f).symm)
/-- A zigzag in a discrete category entails an equality of its extremities -/
lemma eq_of_zigzag (X) {a b : Discrete X} (h : Zigzag a b) : a.as = b.as := by
induction h with
| refl => rfl
| tail _ h eq => exact eq.trans (eq_of_zag _ h)
-- TODO: figure out the right way to generalise this to `Zigzag`.
theorem zag_of_zag_obj (F : J ⥤ K) [F.Full] {j₁ j₂ : J} (h : Zag (F.obj j₁) (F.obj j₂)) :
Zag j₁ j₂ :=
Or.imp (Nonempty.map F.preimage) (Nonempty.map F.preimage) h
/-- Any equivalence relation containing (⟶) holds for all pairs of a connected category. -/
theorem equiv_relation [IsPreconnected J] (r : J → J → Prop) (hr : _root_.Equivalence r)
(h : ∀ {j₁ j₂ : J} (_ : j₁ ⟶ j₂), r j₁ j₂) : ∀ j₁ j₂ : J, r j₁ j₂ := by
intros j₁ j₂
have z : ∀ j : J, r j₁ j :=
induct_on_objects {k | r j₁ k} (hr.1 j₁)
fun f => ⟨fun t => hr.3 t (h f), fun t => hr.3 t (hr.2 (h f))⟩
exact z j₂
/-- In a connected category, any two objects are related by `Zigzag`. -/
theorem isPreconnected_zigzag [IsPreconnected J] (j₁ j₂ : J) : Zigzag j₁ j₂ :=
equiv_relation _ zigzag_equivalence
(fun f => Relation.ReflTransGen.single (Or.inl (Nonempty.intro f))) _ _
theorem zigzag_isPreconnected (h : ∀ j₁ j₂ : J, Zigzag j₁ j₂) : IsPreconnected J := by
apply IsPreconnected.of_constant_of_preserves_morphisms
intro α F hF j j'
specialize h j j'
induction h with
| refl => rfl
| tail _ hj ih =>
rw [ih]
rcases hj with (⟨⟨hj⟩⟩|⟨⟨hj⟩⟩)
exacts [hF hj, (hF hj).symm]
/-- If any two objects in a nonempty category are related by `Zigzag`, the category is connected.
-/
theorem zigzag_isConnected [Nonempty J] (h : ∀ j₁ j₂ : J, Zigzag j₁ j₂) : IsConnected J :=
{ zigzag_isPreconnected h with }
theorem exists_zigzag' [IsConnected J] (j₁ j₂ : J) :
∃ l, List.Chain Zag j₁ l ∧ List.getLast (j₁ :: l) (List.cons_ne_nil _ _) = j₂ :=
List.exists_chain_of_relationReflTransGen (isPreconnected_zigzag _ _)
/-- If any two objects in a nonempty category are linked by a sequence of (potentially reversed)
morphisms, then J is connected.
The converse of `exists_zigzag'`.
-/
theorem isPreconnected_of_zigzag (h : ∀ j₁ j₂ : J, ∃ l,
List.Chain Zag j₁ l ∧ List.getLast (j₁ :: l) (List.cons_ne_nil _ _) = j₂) :
| IsPreconnected J := by
apply zigzag_isPreconnected
intro j₁ j₂
rcases h j₁ j₂ with ⟨l, hl₁, hl₂⟩
apply List.relationReflTransGen_of_exists_chain l hl₁ hl₂
/-- If any two objects in a nonempty category are linked by a sequence of (potentially reversed)
| Mathlib/CategoryTheory/IsConnected.lean | 409 | 415 |
/-
Copyright (c) 2022 Niels Voss. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Niels Voss
-/
import Mathlib.Algebra.Order.Archimedean.Basic
import Mathlib.FieldTheory.Finite.Basic
import Mathlib.Order.Filter.Cofinite
/-!
# Fermat Pseudoprimes
In this file we define Fermat pseudoprimes: composite numbers that pass the Fermat primality test.
A natural number `n` passes the Fermat primality test to base `b` (and is therefore deemed a
"probable prime") if `n` divides `b ^ (n - 1) - 1`. `n` is a Fermat pseudoprime to base `b` if `n`
is a composite number that passes the Fermat primality test to base `b` and is coprime with `b`.
Fermat pseudoprimes can also be seen as composite numbers for which Fermat's little theorem holds
true.
Numbers which are Fermat pseudoprimes to all bases are known as Carmichael numbers (not yet defined
in this file).
## Main Results
The main definitions for this file are
- `Nat.ProbablePrime`: A number `n` is a probable prime to base `b` if it passes the Fermat
primality test; that is, if `n` divides `b ^ (n - 1) - 1`
- `Nat.FermatPsp`: A number `n` is a pseudoprime to base `b` if it is a probable prime to base `b`,
is composite, and is coprime with `b` (this last condition is automatically true if `n` divides
`b ^ (n - 1) - 1`, but some sources include it in the definition).
Note that all composite numbers are pseudoprimes to base 0 and 1, and that the definition of
`Nat.ProbablePrime` in this file implies that all numbers are probable primes to bases 0 and 1, and
that 0 and 1 are probable primes to any base.
The main theorems are
- `Nat.exists_infinite_pseudoprimes`: there are infinite pseudoprimes to any base `b ≥ 1`
-/
namespace Nat
/--
`n` is a probable prime to base `b` if `n` passes the Fermat primality test; that is, `n` divides
`b ^ (n - 1) - 1`.
This definition implies that all numbers are probable primes to base 0 or 1, and that 0 and 1 are
probable primes to any base.
-/
def ProbablePrime (n b : ℕ) : Prop :=
n ∣ b ^ (n - 1) - 1
/--
`n` is a Fermat pseudoprime to base `b` if `n` is a probable prime to base `b` and is composite. By
this definition, all composite natural numbers are pseudoprimes to base 0 and 1. This definition
also permits `n` to be less than `b`, so that 4 is a pseudoprime to base 5, for example.
-/
def FermatPsp (n b : ℕ) : Prop :=
ProbablePrime n b ∧ ¬n.Prime ∧ 1 < n
instance decidableProbablePrime (n b : ℕ) : Decidable (ProbablePrime n b) :=
Nat.decidable_dvd _ _
instance decidablePsp (n b : ℕ) : Decidable (FermatPsp n b) :=
inferInstanceAs (Decidable (_ ∧ _))
/-- If `n` passes the Fermat primality test to base `b`, then `n` is coprime with `b`, assuming that
`n` and `b` are both positive.
-/
theorem coprime_of_probablePrime {n b : ℕ} (h : ProbablePrime n b) (h₁ : 1 ≤ n) (h₂ : 1 ≤ b) :
Nat.Coprime n b := by
by_cases h₃ : 2 ≤ n
· -- To prove that `n` is coprime with `b`, we need to show that for all prime factors of `n`,
-- we can derive a contradiction if `n` divides `b`.
apply Nat.coprime_of_dvd
-- If `k` is a prime number that divides both `n` and `b`, then we know that `n = m * k` and
-- `b = j * k` for some natural numbers `m` and `j`. We substitute these into the hypothesis.
rintro k hk ⟨m, rfl⟩ ⟨j, rfl⟩
-- Because prime numbers do not divide 1, it suffices to show that `k ∣ 1` to prove a
-- contradiction
apply Nat.Prime.not_dvd_one hk
-- Since `n` divides `b ^ (n - 1) - 1`, `k` also divides `b ^ (n - 1) - 1`
replace h := dvd_of_mul_right_dvd h
-- Because `k` divides `b ^ (n - 1) - 1`, if we can show that `k` also divides `b ^ (n - 1)`,
-- then we know `k` divides 1.
rw [Nat.dvd_add_iff_right h, Nat.sub_add_cancel (Nat.one_le_pow _ _ h₂)]
-- Since `k` divides `b`, `k` also divides any power of `b` except `b ^ 0`. Therefore, it
-- suffices to show that `n - 1` isn't zero. However, we know that `n - 1` isn't zero because we
-- assumed `2 ≤ n` when doing `by_cases`.
refine dvd_of_mul_right_dvd (dvd_pow_self (k * j) ?_)
omega
-- If `n = 1`, then it follows trivially that `n` is coprime with `b`.
· rw [show n = 1 by omega]
norm_num
theorem probablePrime_iff_modEq (n : ℕ) {b : ℕ} (h : 1 ≤ b) :
ProbablePrime n b ↔ b ^ (n - 1) ≡ 1 [MOD n] := by
have : 1 ≤ b ^ (n - 1) := one_le_pow₀ h
-- For exact mod_cast
rw [Nat.ModEq.comm]
constructor
· intro h₁
apply Nat.modEq_of_dvd
exact mod_cast h₁
· intro h₁
exact mod_cast Nat.ModEq.dvd h₁
/-- If `n` is a Fermat pseudoprime to base `b`, then `n` is coprime with `b`, assuming that `b` is
positive.
This lemma is a small wrapper based on `coprime_of_probablePrime`
-/
theorem coprime_of_fermatPsp {n b : ℕ} (h : FermatPsp n b) (h₁ : 1 ≤ b) : Nat.Coprime n b := by
rcases h with ⟨hp, _, hn₂⟩
exact coprime_of_probablePrime hp (by omega) h₁
/-- All composite numbers are Fermat pseudoprimes to base 1.
-/
theorem fermatPsp_base_one {n : ℕ} (h₁ : 1 < n) (h₂ : ¬n.Prime) : FermatPsp n 1 := by
| refine ⟨show n ∣ 1 ^ (n - 1) - 1 from ?_, h₂, h₁⟩
exact show 0 = 1 ^ (n - 1) - 1 by norm_num ▸ dvd_zero n
| Mathlib/NumberTheory/FermatPsp.lean | 120 | 122 |
/-
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.Abelian
import Mathlib.Algebra.Lie.BaseChange
import Mathlib.Algebra.Lie.IdealOperations
import Mathlib.Order.Hom.Basic
import Mathlib.RingTheory.Flat.FaithfullyFlat.Basic
/-!
# Solvable Lie algebras
Like groups, Lie algebras admit a natural concept of solvability. We define this here via the
derived series and prove some related results. We also define the radical of a Lie algebra and
prove that it is solvable when the Lie algebra is Noetherian.
## Main definitions
* `LieAlgebra.derivedSeriesOfIdeal`
* `LieAlgebra.derivedSeries`
* `LieAlgebra.IsSolvable`
* `LieAlgebra.isSolvableAdd`
* `LieAlgebra.radical`
* `LieAlgebra.radicalIsSolvable`
* `LieAlgebra.derivedLengthOfIdeal`
* `LieAlgebra.derivedLength`
* `LieAlgebra.derivedAbelianOfIdeal`
## Tags
lie algebra, derived series, derived length, solvable, radical
-/
universe u v w w₁ w₂
variable (R : Type u) (L : Type v) (M : Type w) {L' : Type w₁}
variable [CommRing R] [LieRing L] [LieAlgebra R L] [LieRing L'] [LieAlgebra R L']
variable (I J : LieIdeal R L) {f : L' →ₗ⁅R⁆ L}
namespace LieAlgebra
/-- A generalisation of the derived series of a Lie algebra, whose zeroth term is a specified ideal.
It can be more convenient to work with this generalisation when considering the derived series of
an ideal since it provides a type-theoretic expression of the fact that the terms of the ideal's
derived series are also ideals of the enclosing algebra.
See also `LieIdeal.derivedSeries_eq_derivedSeriesOfIdeal_comap` and
`LieIdeal.derivedSeries_eq_derivedSeriesOfIdeal_map` below. -/
def derivedSeriesOfIdeal (k : ℕ) : LieIdeal R L → LieIdeal R L :=
(fun I => ⁅I, I⁆)^[k]
@[simp]
theorem derivedSeriesOfIdeal_zero : derivedSeriesOfIdeal R L 0 I = I :=
rfl
@[simp]
theorem derivedSeriesOfIdeal_succ (k : ℕ) :
derivedSeriesOfIdeal R L (k + 1) I =
⁅derivedSeriesOfIdeal R L k I, derivedSeriesOfIdeal R L k I⁆ :=
Function.iterate_succ_apply' (fun I => ⁅I, I⁆) k I
/-- The derived series of Lie ideals of a Lie algebra. -/
abbrev derivedSeries (k : ℕ) : LieIdeal R L :=
derivedSeriesOfIdeal R L k ⊤
theorem derivedSeries_def (k : ℕ) : derivedSeries R L k = derivedSeriesOfIdeal R L k ⊤ :=
rfl
variable {R L}
local notation "D" => derivedSeriesOfIdeal R L
theorem derivedSeriesOfIdeal_add (k l : ℕ) : D (k + l) I = D k (D l I) := by
induction k with
| zero => rw [Nat.zero_add, derivedSeriesOfIdeal_zero]
| succ k ih => rw [Nat.succ_add k l, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ, ih]
@[gcongr, mono]
theorem derivedSeriesOfIdeal_le {I J : LieIdeal R L} {k l : ℕ} (h₁ : I ≤ J) (h₂ : l ≤ k) :
D k I ≤ D l J := by
revert l; induction' k with k ih <;> intro l h₂
· rw [le_zero_iff] at h₂; rw [h₂, derivedSeriesOfIdeal_zero]; exact h₁
· have h : l = k.succ ∨ l ≤ k := by rwa [le_iff_eq_or_lt, Nat.lt_succ_iff] at h₂
rcases h with h | h
· rw [h, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ]
exact LieSubmodule.mono_lie (ih (le_refl k)) (ih (le_refl k))
· rw [derivedSeriesOfIdeal_succ]; exact le_trans (LieSubmodule.lie_le_left _ _) (ih h)
theorem derivedSeriesOfIdeal_succ_le (k : ℕ) : D (k + 1) I ≤ D k I :=
derivedSeriesOfIdeal_le (le_refl I) k.le_succ
theorem derivedSeriesOfIdeal_le_self (k : ℕ) : D k I ≤ I :=
derivedSeriesOfIdeal_le (le_refl I) (zero_le k)
theorem derivedSeriesOfIdeal_mono {I J : LieIdeal R L} (h : I ≤ J) (k : ℕ) : D k I ≤ D k J :=
derivedSeriesOfIdeal_le h (le_refl k)
theorem derivedSeriesOfIdeal_antitone {k l : ℕ} (h : l ≤ k) : D k I ≤ D l I :=
derivedSeriesOfIdeal_le (le_refl I) h
theorem derivedSeriesOfIdeal_add_le_add (J : LieIdeal R L) (k l : ℕ) :
D (k + l) (I + J) ≤ D k I + D l J := by
let D₁ : LieIdeal R L →o LieIdeal R L :=
{ toFun := fun I => ⁅I, I⁆
monotone' := fun I J h => LieSubmodule.mono_lie h h }
have h₁ : ∀ I J : LieIdeal R L, D₁ (I ⊔ J) ≤ D₁ I ⊔ J := by
simp [D₁, LieSubmodule.lie_le_right, LieSubmodule.lie_le_left, le_sup_of_le_right]
rw [← D₁.iterate_sup_le_sup_iff] at h₁
exact h₁ k l I J
theorem derivedSeries_of_bot_eq_bot (k : ℕ) : derivedSeriesOfIdeal R L k ⊥ = ⊥ := by
rw [eq_bot_iff]; exact derivedSeriesOfIdeal_le_self ⊥ k
theorem abelian_iff_derived_one_eq_bot : IsLieAbelian I ↔ derivedSeriesOfIdeal R L 1 I = ⊥ := by
rw [derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_zero,
LieSubmodule.lie_abelian_iff_lie_self_eq_bot]
theorem abelian_iff_derived_succ_eq_bot (I : LieIdeal R L) (k : ℕ) :
IsLieAbelian (derivedSeriesOfIdeal R L k I) ↔ derivedSeriesOfIdeal R L (k + 1) I = ⊥ := by
rw [add_comm, derivedSeriesOfIdeal_add I 1 k, abelian_iff_derived_one_eq_bot]
open TensorProduct in
@[simp] theorem derivedSeriesOfIdeal_baseChange {A : Type*} [CommRing A] [Algebra R A] (k : ℕ) :
derivedSeriesOfIdeal A (A ⊗[R] L) k (I.baseChange A) =
(derivedSeriesOfIdeal R L k I).baseChange A := by
induction k with
| | zero => simp
| succ k ih => simp only [derivedSeriesOfIdeal_succ, ih, ← LieSubmodule.baseChange_top,
LieSubmodule.lie_baseChange]
| Mathlib/Algebra/Lie/Solvable.lean | 131 | 133 |
/-
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.Equiv.Basic
import Mathlib.Data.ENat.Lattice
import Mathlib.Data.Part
import Mathlib.Tactic.NormNum
/-!
# Natural numbers with infinity
The natural numbers and an extra `top` element `⊤`. This implementation uses `Part ℕ` as an
implementation. Use `ℕ∞` instead unless you care about computability.
## Main definitions
The following instances are defined:
* `OrderedAddCommMonoid PartENat`
* `CanonicallyOrderedAdd PartENat`
* `CompleteLinearOrder PartENat`
There is no additive analogue of `MonoidWithZero`; if there were then `PartENat` could
be an `AddMonoidWithTop`.
* `toWithTop` : the map from `PartENat` to `ℕ∞`, with theorems that it plays well
with `+` and `≤`.
* `withTopAddEquiv : PartENat ≃+ ℕ∞`
* `withTopOrderIso : PartENat ≃o ℕ∞`
## Implementation details
`PartENat` is defined to be `Part ℕ`.
`+` and `≤` are defined on `PartENat`, but there is an issue with `*` because it's not
clear what `0 * ⊤` should be. `mul` is hence left undefined. Similarly `⊤ - ⊤` is ambiguous
so there is no `-` defined on `PartENat`.
Before the `open scoped Classical` line, various proofs are made with decidability assumptions.
This can cause issues -- see for example the non-simp lemma `toWithTopZero` proved by `rfl`,
followed by `@[simp] lemma toWithTopZero'` whose proof uses `convert`.
## Tags
PartENat, ℕ∞
-/
open Part hiding some
/-- Type of natural numbers with infinity (`⊤`) -/
def PartENat : Type :=
Part ℕ
namespace PartENat
/-- The computable embedding `ℕ → PartENat`.
This coincides with the coercion `coe : ℕ → PartENat`, see `PartENat.some_eq_natCast`. -/
@[coe]
def some : ℕ → PartENat :=
Part.some
instance : Zero PartENat :=
⟨some 0⟩
instance : Inhabited PartENat :=
⟨0⟩
instance : One PartENat :=
⟨some 1⟩
instance : Add PartENat :=
⟨fun x y => ⟨x.Dom ∧ y.Dom, fun h => get x h.1 + get y h.2⟩⟩
instance (n : ℕ) : Decidable (some n).Dom :=
isTrue trivial
@[simp]
theorem dom_some (x : ℕ) : (some x).Dom :=
trivial
instance addCommMonoid : AddCommMonoid PartENat where
add := (· + ·)
zero := 0
add_comm _ _ := Part.ext' and_comm fun _ _ => add_comm _ _
zero_add _ := Part.ext' (iff_of_eq (true_and _)) fun _ _ => zero_add _
add_zero _ := Part.ext' (iff_of_eq (and_true _)) fun _ _ => add_zero _
add_assoc _ _ _ := Part.ext' and_assoc fun _ _ => add_assoc _ _ _
nsmul := nsmulRec
instance : AddCommMonoidWithOne PartENat :=
{ PartENat.addCommMonoid with
one := 1
natCast := some
natCast_zero := rfl
natCast_succ := fun _ => Part.ext' (iff_of_eq (true_and _)).symm fun _ _ => rfl }
theorem some_eq_natCast (n : ℕ) : some n = n :=
rfl
instance : CharZero PartENat where
cast_injective := Part.some_injective
/-- Alias of `Nat.cast_inj` specialized to `PartENat` -/
theorem natCast_inj {x y : ℕ} : (x : PartENat) = y ↔ x = y :=
Nat.cast_inj
@[simp]
theorem dom_natCast (x : ℕ) : (x : PartENat).Dom :=
trivial
@[simp]
theorem dom_ofNat (x : ℕ) [x.AtLeastTwo] : (ofNat(x) : PartENat).Dom :=
trivial
@[simp]
theorem dom_zero : (0 : PartENat).Dom :=
trivial
@[simp]
theorem dom_one : (1 : PartENat).Dom :=
trivial
instance : CanLift PartENat ℕ (↑) Dom :=
⟨fun n hn => ⟨n.get hn, Part.some_get _⟩⟩
instance : LE PartENat :=
⟨fun x y => ∃ h : y.Dom → x.Dom, ∀ hy : y.Dom, x.get (h hy) ≤ y.get hy⟩
instance : Top PartENat :=
⟨none⟩
instance : Bot PartENat :=
⟨0⟩
instance : Max PartENat :=
⟨fun x y => ⟨x.Dom ∧ y.Dom, fun h => x.get h.1 ⊔ y.get h.2⟩⟩
theorem le_def (x y : PartENat) :
x ≤ y ↔ ∃ h : y.Dom → x.Dom, ∀ hy : y.Dom, x.get (h hy) ≤ y.get hy :=
Iff.rfl
@[elab_as_elim]
protected theorem casesOn' {P : PartENat → Prop} :
∀ a : PartENat, P ⊤ → (∀ n : ℕ, P (some n)) → P a :=
Part.induction_on
@[elab_as_elim]
protected theorem casesOn {P : PartENat → Prop} : ∀ a : PartENat, P ⊤ → (∀ n : ℕ, P n) → P a := by
exact PartENat.casesOn'
-- not a simp lemma as we will provide a `LinearOrderedAddCommMonoidWithTop` instance later
theorem top_add (x : PartENat) : ⊤ + x = ⊤ :=
Part.ext' (iff_of_eq (false_and _)) fun h => h.left.elim
-- not a simp lemma as we will provide a `LinearOrderedAddCommMonoidWithTop` instance later
theorem add_top (x : PartENat) : x + ⊤ = ⊤ := by rw [add_comm, top_add]
@[simp]
theorem natCast_get {x : PartENat} (h : x.Dom) : (x.get h : PartENat) = x := by
exact Part.ext' (iff_of_true trivial h) fun _ _ => rfl
@[simp, norm_cast]
theorem get_natCast' (x : ℕ) (h : (x : PartENat).Dom) : get (x : PartENat) h = x := by
rw [← natCast_inj, natCast_get]
theorem get_natCast {x : ℕ} : get (x : PartENat) (dom_natCast x) = x :=
get_natCast' _ _
theorem coe_add_get {x : ℕ} {y : PartENat} (h : ((x : PartENat) + y).Dom) :
get ((x : PartENat) + y) h = x + get y h.2 := by
rfl
@[simp]
theorem get_add {x y : PartENat} (h : (x + y).Dom) : get (x + y) h = x.get h.1 + y.get h.2 :=
rfl
@[simp]
theorem get_zero (h : (0 : PartENat).Dom) : (0 : PartENat).get h = 0 :=
rfl
@[simp]
theorem get_one (h : (1 : PartENat).Dom) : (1 : PartENat).get h = 1 :=
rfl
@[simp]
theorem get_ofNat' (x : ℕ) [x.AtLeastTwo] (h : (ofNat(x) : PartENat).Dom) :
Part.get (ofNat(x) : PartENat) h = ofNat(x) :=
get_natCast' x h
nonrec theorem get_eq_iff_eq_some {a : PartENat} {ha : a.Dom} {b : ℕ} : a.get ha = b ↔ a = some b :=
get_eq_iff_eq_some
theorem get_eq_iff_eq_coe {a : PartENat} {ha : a.Dom} {b : ℕ} : a.get ha = b ↔ a = b := by
rw [get_eq_iff_eq_some]
rfl
theorem dom_of_le_of_dom {x y : PartENat} : x ≤ y → y.Dom → x.Dom := fun ⟨h, _⟩ => h
theorem dom_of_le_some {x : PartENat} {y : ℕ} (h : x ≤ some y) : x.Dom :=
dom_of_le_of_dom h trivial
theorem dom_of_le_natCast {x : PartENat} {y : ℕ} (h : x ≤ y) : x.Dom := by
exact dom_of_le_some h
instance decidableLe (x y : PartENat) [Decidable x.Dom] [Decidable y.Dom] : Decidable (x ≤ y) :=
if hx : x.Dom then
decidable_of_decidable_of_iff (le_def x y).symm
else
if hy : y.Dom then isFalse fun h => hx <| dom_of_le_of_dom h hy
else isTrue ⟨fun h => (hy h).elim, fun h => (hy h).elim⟩
instance partialOrder : PartialOrder PartENat where
le := (· ≤ ·)
le_refl _ := ⟨id, fun _ => le_rfl⟩
le_trans := fun _ _ _ ⟨hxy₁, hxy₂⟩ ⟨hyz₁, hyz₂⟩ =>
⟨hxy₁ ∘ hyz₁, fun _ => le_trans (hxy₂ _) (hyz₂ _)⟩
lt_iff_le_not_le _ _ := Iff.rfl
le_antisymm := fun _ _ ⟨hxy₁, hxy₂⟩ ⟨hyx₁, hyx₂⟩ =>
Part.ext' ⟨hyx₁, hxy₁⟩ fun _ _ => le_antisymm (hxy₂ _) (hyx₂ _)
theorem lt_def (x y : PartENat) : x < y ↔ ∃ hx : x.Dom, ∀ hy : y.Dom, x.get hx < y.get hy := by
rw [lt_iff_le_not_le, le_def, le_def, not_exists]
constructor
· rintro ⟨⟨hyx, H⟩, h⟩
by_cases hx : x.Dom
· use hx
intro hy
specialize H hy
specialize h fun _ => hy
rw [not_forall] at h
obtain ⟨hx', h⟩ := h
rw [not_le] at h
exact h
· specialize h fun hx' => (hx hx').elim
rw [not_forall] at h
obtain ⟨hx', h⟩ := h
exact (hx hx').elim
· rintro ⟨hx, H⟩
exact ⟨⟨fun _ => hx, fun hy => (H hy).le⟩, fun hxy h => not_lt_of_le (h _) (H _)⟩
noncomputable instance isOrderedAddMonoid : IsOrderedAddMonoid PartENat :=
{ add_le_add_left := fun a b ⟨h₁, h₂⟩ c =>
PartENat.casesOn c (by simp [top_add]) fun c =>
⟨fun h => And.intro (dom_natCast _) (h₁ h.2), fun h => by
simpa only [coe_add_get] using add_le_add_left (h₂ _) c⟩ }
instance semilatticeSup : SemilatticeSup PartENat :=
{ PartENat.partialOrder with
sup := (· ⊔ ·)
le_sup_left := fun _ _ => ⟨And.left, fun _ => le_sup_left⟩
le_sup_right := fun _ _ => ⟨And.right, fun _ => le_sup_right⟩
sup_le := fun _ _ _ ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩ =>
⟨fun hz => ⟨hx₁ hz, hy₁ hz⟩, fun _ => sup_le (hx₂ _) (hy₂ _)⟩ }
instance orderBot : OrderBot PartENat where
bot := ⊥
bot_le _ := ⟨fun _ => trivial, fun _ => Nat.zero_le _⟩
instance orderTop : OrderTop PartENat where
top := ⊤
le_top _ := ⟨fun h => False.elim h, fun hy => False.elim hy⟩
instance : ZeroLEOneClass PartENat where
zero_le_one := bot_le
/-- Alias of `Nat.cast_le` specialized to `PartENat` -/
theorem coe_le_coe {x y : ℕ} : (x : PartENat) ≤ y ↔ x ≤ y := Nat.cast_le
/-- Alias of `Nat.cast_lt` specialized to `PartENat` -/
theorem coe_lt_coe {x y : ℕ} : (x : PartENat) < y ↔ x < y := Nat.cast_lt
@[simp]
theorem get_le_get {x y : PartENat} {hx : x.Dom} {hy : y.Dom} : x.get hx ≤ y.get hy ↔ x ≤ y := by
conv =>
lhs
rw [← coe_le_coe, natCast_get, natCast_get]
theorem le_coe_iff (x : PartENat) (n : ℕ) : x ≤ n ↔ ∃ h : x.Dom, x.get h ≤ n := by
show (∃ h : True → x.Dom, _) ↔ ∃ h : x.Dom, x.get h ≤ n
simp only [forall_prop_of_true, dom_natCast, get_natCast']
theorem lt_coe_iff (x : PartENat) (n : ℕ) : x < n ↔ ∃ h : x.Dom, x.get h < n := by
simp only [lt_def, forall_prop_of_true, get_natCast', dom_natCast]
theorem coe_le_iff (n : ℕ) (x : PartENat) : (n : PartENat) ≤ x ↔ ∀ h : x.Dom, n ≤ x.get h := by
rw [← some_eq_natCast]
simp only [le_def, exists_prop_of_true, dom_some, forall_true_iff]
rfl
theorem coe_lt_iff (n : ℕ) (x : PartENat) : (n : PartENat) < x ↔ ∀ h : x.Dom, n < x.get h := by
rw [← some_eq_natCast]
simp only [lt_def, exists_prop_of_true, dom_some, forall_true_iff]
rfl
nonrec theorem eq_zero_iff {x : PartENat} : x = 0 ↔ x ≤ 0 :=
eq_bot_iff
theorem ne_zero_iff {x : PartENat} : x ≠ 0 ↔ ⊥ < x :=
bot_lt_iff_ne_bot.symm
theorem dom_of_lt {x y : PartENat} : x < y → x.Dom :=
PartENat.casesOn x not_top_lt fun _ _ => dom_natCast _
theorem top_eq_none : (⊤ : PartENat) = Part.none :=
rfl
@[simp]
theorem natCast_lt_top (x : ℕ) : (x : PartENat) < ⊤ :=
Ne.lt_top fun h => absurd (congr_arg Dom h) <| by simp only [dom_natCast]; exact true_ne_false
@[simp]
theorem zero_lt_top : (0 : PartENat) < ⊤ :=
natCast_lt_top 0
@[simp]
theorem one_lt_top : (1 : PartENat) < ⊤ :=
natCast_lt_top 1
@[simp]
theorem ofNat_lt_top (x : ℕ) [x.AtLeastTwo] : (ofNat(x) : PartENat) < ⊤ :=
natCast_lt_top x
@[simp]
theorem natCast_ne_top (x : ℕ) : (x : PartENat) ≠ ⊤ :=
ne_of_lt (natCast_lt_top x)
@[simp]
theorem zero_ne_top : (0 : PartENat) ≠ ⊤ :=
natCast_ne_top 0
@[simp]
theorem one_ne_top : (1 : PartENat) ≠ ⊤ :=
natCast_ne_top 1
@[simp]
theorem ofNat_ne_top (x : ℕ) [x.AtLeastTwo] : (ofNat(x) : PartENat) ≠ ⊤ :=
natCast_ne_top x
theorem not_isMax_natCast (x : ℕ) : ¬IsMax (x : PartENat) :=
not_isMax_of_lt (natCast_lt_top x)
theorem ne_top_iff {x : PartENat} : x ≠ ⊤ ↔ ∃ n : ℕ, x = n := by
simpa only [← some_eq_natCast] using Part.ne_none_iff
theorem ne_top_iff_dom {x : PartENat} : x ≠ ⊤ ↔ x.Dom := by
classical exact not_iff_comm.1 Part.eq_none_iff'.symm
theorem not_dom_iff_eq_top {x : PartENat} : ¬x.Dom ↔ x = ⊤ :=
Iff.not_left ne_top_iff_dom.symm
theorem ne_top_of_lt {x y : PartENat} (h : x < y) : x ≠ ⊤ :=
ne_of_lt <| lt_of_lt_of_le h le_top
theorem eq_top_iff_forall_lt (x : PartENat) : x = ⊤ ↔ ∀ n : ℕ, (n : PartENat) < x := by
constructor
· rintro rfl n
exact natCast_lt_top _
· contrapose!
rw [ne_top_iff]
rintro ⟨n, rfl⟩
exact ⟨n, irrefl _⟩
theorem eq_top_iff_forall_le (x : PartENat) : x = ⊤ ↔ ∀ n : ℕ, (n : PartENat) ≤ x :=
(eq_top_iff_forall_lt x).trans
⟨fun h n => (h n).le, fun h n => lt_of_lt_of_le (coe_lt_coe.mpr n.lt_succ_self) (h (n + 1))⟩
theorem pos_iff_one_le {x : PartENat} : 0 < x ↔ 1 ≤ x :=
PartENat.casesOn x
(by simp only [le_top, natCast_lt_top, ← @Nat.cast_zero PartENat])
fun n => by
rw [← Nat.cast_zero, ← Nat.cast_one, PartENat.coe_lt_coe, PartENat.coe_le_coe]
rfl
instance isTotal : IsTotal PartENat (· ≤ ·) where
total x y :=
PartENat.casesOn (P := fun z => z ≤ y ∨ y ≤ z) x (Or.inr le_top)
(PartENat.casesOn y (fun _ => Or.inl le_top) fun x y =>
(le_total x y).elim (Or.inr ∘ coe_le_coe.2) (Or.inl ∘ coe_le_coe.2))
noncomputable instance linearOrder : LinearOrder PartENat :=
{ PartENat.partialOrder with
le_total := IsTotal.total
toDecidableLE := Classical.decRel _
max := (· ⊔ ·)
max_def a b := congr_fun₂ (@sup_eq_maxDefault PartENat _ (_) _) _ _ }
instance boundedOrder : BoundedOrder PartENat :=
{ PartENat.orderTop, PartENat.orderBot with }
noncomputable instance lattice : Lattice PartENat :=
{ PartENat.semilatticeSup with
inf := min
inf_le_left := min_le_left
inf_le_right := min_le_right
le_inf := fun _ _ _ => le_min }
instance : CanonicallyOrderedAdd PartENat :=
{ le_self_add := fun a b =>
PartENat.casesOn b (le_top.trans_eq (add_top _).symm) fun _ =>
PartENat.casesOn a (top_add _).ge fun _ =>
(coe_le_coe.2 le_self_add).trans_eq (Nat.cast_add _ _)
exists_add_of_le := fun {a b} =>
PartENat.casesOn b (fun _ => ⟨⊤, (add_top _).symm⟩) fun b =>
PartENat.casesOn a (fun h => ((natCast_lt_top _).not_le h).elim) fun a h =>
⟨(b - a : ℕ), by
rw [← Nat.cast_add, natCast_inj, add_comm, tsub_add_cancel_of_le (coe_le_coe.1 h)]⟩ }
theorem eq_natCast_sub_of_add_eq_natCast {x y : PartENat} {n : ℕ} (h : x + y = n) :
x = ↑(n - y.get (dom_of_le_natCast ((le_add_left le_rfl).trans_eq h))) := by
lift x to ℕ using dom_of_le_natCast ((le_add_right le_rfl).trans_eq h)
lift y to ℕ using dom_of_le_natCast ((le_add_left le_rfl).trans_eq h)
rw [← Nat.cast_add, natCast_inj] at h
rw [get_natCast, natCast_inj, eq_tsub_of_add_eq h]
protected theorem add_lt_add_right {x y z : PartENat} (h : x < y) (hz : z ≠ ⊤) : x + z < y + z := by
rcases ne_top_iff.mp (ne_top_of_lt h) with ⟨m, rfl⟩
rcases ne_top_iff.mp hz with ⟨k, rfl⟩
induction y using PartENat.casesOn
· rw [top_add]
exact_mod_cast natCast_lt_top _
norm_cast at h
exact_mod_cast add_lt_add_right h _
protected theorem add_lt_add_iff_right {x y z : PartENat} (hz : z ≠ ⊤) : x + z < y + z ↔ x < y :=
⟨lt_of_add_lt_add_right, fun h => PartENat.add_lt_add_right h hz⟩
protected theorem add_lt_add_iff_left {x y z : PartENat} (hz : z ≠ ⊤) : z + x < z + y ↔ x < y := by
rw [add_comm z, add_comm z, PartENat.add_lt_add_iff_right hz]
protected theorem lt_add_iff_pos_right {x y : PartENat} (hx : x ≠ ⊤) : x < x + y ↔ 0 < y := by
conv_rhs => rw [← PartENat.add_lt_add_iff_left hx]
rw [add_zero]
theorem lt_add_one {x : PartENat} (hx : x ≠ ⊤) : x < x + 1 := by
rw [PartENat.lt_add_iff_pos_right hx]
norm_cast
theorem le_of_lt_add_one {x y : PartENat} (h : x < y + 1) : x ≤ y := by
induction y using PartENat.casesOn
· apply le_top
rcases ne_top_iff.mp (ne_top_of_lt h) with ⟨m, rfl⟩
exact_mod_cast Nat.le_of_lt_succ (by norm_cast at h)
theorem add_one_le_of_lt {x y : PartENat} (h : x < y) : x + 1 ≤ y := by
induction y using PartENat.casesOn
· apply le_top
rcases ne_top_iff.mp (ne_top_of_lt h) with ⟨m, rfl⟩
exact_mod_cast Nat.succ_le_of_lt (by norm_cast at h)
theorem add_one_le_iff_lt {x y : PartENat} (hx : x ≠ ⊤) : x + 1 ≤ y ↔ x < y := by
refine ⟨fun h => ?_, add_one_le_of_lt⟩
rcases ne_top_iff.mp hx with ⟨m, rfl⟩
induction y using PartENat.casesOn
· apply natCast_lt_top
exact_mod_cast Nat.lt_of_succ_le (by norm_cast at h)
theorem coe_succ_le_iff {n : ℕ} {e : PartENat} : ↑n.succ ≤ e ↔ ↑n < e := by
rw [Nat.succ_eq_add_one n, Nat.cast_add, Nat.cast_one, add_one_le_iff_lt (natCast_ne_top n)]
theorem lt_add_one_iff_lt {x y : PartENat} (hx : x ≠ ⊤) : x < y + 1 ↔ x ≤ y := by
refine ⟨le_of_lt_add_one, fun h => ?_⟩
rcases ne_top_iff.mp hx with ⟨m, rfl⟩
induction y using PartENat.casesOn
· rw [top_add]
apply natCast_lt_top
exact_mod_cast Nat.lt_succ_of_le (by norm_cast at h)
lemma lt_coe_succ_iff_le {x : PartENat} {n : ℕ} (hx : x ≠ ⊤) : x < n.succ ↔ x ≤ n := by
rw [Nat.succ_eq_add_one n, Nat.cast_add, Nat.cast_one, lt_add_one_iff_lt hx]
theorem add_eq_top_iff {a b : PartENat} : a + b = ⊤ ↔ a = ⊤ ∨ b = ⊤ := by
refine PartENat.casesOn a ?_ ?_
<;> refine PartENat.casesOn b ?_ ?_
<;> simp [top_add, add_top]
simp only [← Nat.cast_add, PartENat.natCast_ne_top, forall_const, not_false_eq_true]
protected theorem add_right_cancel_iff {a b c : PartENat} (hc : c ≠ ⊤) : a + c = b + c ↔ a = b := by
rcases ne_top_iff.1 hc with ⟨c, rfl⟩
refine PartENat.casesOn a ?_ ?_
<;> refine PartENat.casesOn b ?_ ?_
<;> simp [add_eq_top_iff, natCast_ne_top, @eq_comm _ (⊤ : PartENat), top_add]
simp only [← Nat.cast_add, add_left_cancel_iff, PartENat.natCast_inj, add_comm, forall_const]
protected theorem add_left_cancel_iff {a b c : PartENat} (ha : a ≠ ⊤) : a + b = a + c ↔ b = c := by
rw [add_comm a, add_comm a, PartENat.add_right_cancel_iff ha]
section WithTop
/-- Computably converts a `PartENat` to a `ℕ∞`. -/
def toWithTop (x : PartENat) [Decidable x.Dom] : ℕ∞ :=
x.toOption
theorem toWithTop_top :
have : Decidable (⊤ : PartENat).Dom := Part.noneDecidable
toWithTop ⊤ = ⊤ :=
rfl
@[simp]
theorem toWithTop_top' {h : Decidable (⊤ : PartENat).Dom} : toWithTop ⊤ = ⊤ := by
convert toWithTop_top
| theorem toWithTop_zero :
have : Decidable (0 : PartENat).Dom := someDecidable 0
toWithTop 0 = 0 :=
| Mathlib/Data/Nat/PartENat.lean | 508 | 510 |
/-
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.Algebra.Field.ZMod
import Mathlib.NumberTheory.Padics.PadicIntegers
import Mathlib.RingTheory.LocalRing.ResidueField.Defs
import Mathlib.RingTheory.ZMod
/-!
# Relating `ℤ_[p]` to `ZMod (p ^ n)`, aka `ℤ/p^nℤ`.
In this file we establish connections between the `p`-adic integers `ℤ_[p]`
and the integers modulo powers of `p`, `ℤ/p^nℤ`, implemented as `ZMod (p^n)`.
## Main declarations
We show that `ℤ_[p]` has a ring homomorphism to `ℤ/p^nℤ` 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 homomorphism to `ℤ/pℤ`, implemented as `ZMod p`.
* `PadicInt.toZModPow`: ring homomorphism to `ℤ/p^nℤ`, implemented as `ZMod (p^n)`.
* `PadicInt.ker_toZMod` / `PadicInt.ker_toZModPow`: the kernels of these maps are the ideals
generated by `p^n`
* `PadicInt.residueField` shows that the residue field of `ℤ_[p]` is isomorhic to ``ℤ/pℤ`.
We also establish the universal property of `ℤ_[p]` as a projective limit.
Given a family of compatible ring homomorphisms `f_k : R → ℤ/p^nℤ`,
there is a unique limit `R → ℤ_[p]`
* `PadicInt.lift`: the limit function
* `PadicInt.lift_spec` / `PadicInt.lift_unique`: the universal property
## Implementation notes
The constructions of the ring homomorphisms go through an auxiliary constructor
`PadicInt.toZModHom`, which removes some boilerplate code.
-/
noncomputable section
open Nat IsLocalRing 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
variable {p}
theorem modPart_lt_p : modPart p r < p := by
convert Int.emod_lt_abs _ _
· simp
· exact mod_cast hp_prime.1.ne_zero
theorem modPart_nonneg : 0 ≤ modPart p r :=
Int.emod_nonneg _ <| mod_cast hp_prime.1.ne_zero
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]
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
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 [n, 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
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⟩
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
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
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
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
theorem existsUnique_mem_range : ∃! n : ℕ, n < p ∧ x - n ∈ maximalIdeal ℤ_[p] := by
obtain ⟨n, hn₁, hn₂⟩ := exists_mem_range x
use n, ⟨hn₁, hn₂⟩, fun m ⟨hm₁, hm₂⟩ ↦ ?_
have := (zmod_congr_of_sub_mem_max_ideal x n m hn₂ hm₂).symm
rwa [ZMod.natCast_eq_natCast_iff, ModEq, mod_eq_of_lt hn₁, mod_eq_of_lt hm₁] at this
@[deprecated (since := "2024-12-17")] alias exists_unique_mem_range := existsUnique_mem_range
/-- `zmodRepr x` is the unique natural number smaller than `p`
satisfying `‖(x - zmodRepr x : ℤ_[p])‖ < 1`.
-/
def zmodRepr : ℕ :=
Classical.choose (existsUnique_mem_range x).exists
theorem zmodRepr_spec : zmodRepr x < p ∧ x - zmodRepr x ∈ maximalIdeal ℤ_[p] :=
Classical.choose_spec (existsUnique_mem_range x).exists
theorem zmodRepr_unique (y : ℕ) (hy₁ : y < p) (hy₂ : x - y ∈ maximalIdeal ℤ_[p]) : y = zmodRepr x :=
have h := (Classical.choose_spec (existsUnique_mem_range x)).right
(h y ⟨hy₁, hy₂⟩).trans (h (zmodRepr x) (zmodRepr_spec x)).symm
theorem zmodRepr_lt_p : zmodRepr x < p :=
(zmodRepr_spec _).1
theorem sub_zmodRepr_mem : x - zmodRepr x ∈ maximalIdeal ℤ_[p] :=
(zmodRepr_spec _).2
/-- `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
rw [f_congr (0 : ℤ_[p]) _ 0, cast_zero]
· exact f_spec _
· simp only [sub_zero, cast_zero, Submodule.zero_mem]
map_one' := by
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
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
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
/-- `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)
/-- `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])
rw [Nat.cast_inj]
apply mod_eq_of_lt
simpa only [zero_add] using zmodRepr_lt_p x
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
/-- The equivalence between the residue field of the `p`-adic integers and `ℤ/pℤ` -/
def residueField : IsLocalRing.ResidueField ℤ_[p] ≃+* ZMod p :=
(Ideal.quotEquivOfEq PadicInt.ker_toZMod.symm).trans <|
RingHom.quotientKerEquivOfSurjective (ZMod.ringHom_surjective PadicInt.toZMod)
open scoped Classical in
/-- `appr n x` gives a value `v : ℕ` such that `x` and `↑v : ℤ_p` are congruent mod `p^n`.
See `appr_spec`. -/
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 : ℤ).natAbs) : ℤ_[p])).val
theorem appr_lt (x : ℤ_[p]) (n : ℕ) : x.appr n < p ^ n := by
induction n generalizing x with
| zero => simp only [appr, zero_eq, _root_.pow_zero, zero_lt_one]
| succ n ih =>
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 Nat.pow_lt_pow_right hp_prime.1.one_lt n.lt_add_one
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)
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
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
| zero =>
simp only [zero_eq, add_zero, le_refl, tsub_eq_zero_of_le, ne_eq, Nat.isUnit_iff, dvd_zero]
| succ k ih =>
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)
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
| zero => simp only [zero_eq, _root_.pow_zero, isUnit_one, IsUnit.dvd, forall_const]
| succ n ih =>
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', Nat.cast_add, add_sub_cancel_left, _root_.pow_succ, ← mul_sub]
apply mul_dvd_mul_left
obtain hc0 | hc0 := eq_or_ne c.valuation 0
· simp only [hc0, mul_one, _root_.pow_zero, Nat.cast_zero, Int.natAbs_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
lift c to ℤ_[p]ˣ using by simp [isUnit_iff, norm_eq_zpow_neg_valuation hc', hc0]
rw [IsDiscreteValuationRing.unit_mul_pow_congr_unit _ _ _ _ _ hc]
exact irreducible_p
· simp only [Int.natAbs_natCast, zero_pow hc0, sub_zero, ZMod.cast_zero, mul_zero]
rw [unitCoeff_spec hc']
exact (dvd_pow_self (p : ℤ_[p]) hc0).mul_left _
/-- 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)
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
-- This is not a simp lemma; simp can't match the LHS.
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]
@[simp]
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
theorem denseRange_natCast : DenseRange (Nat.cast : ℕ → ℤ_[p]) := by
intro x
rw [Metric.mem_closure_range_iff]
intro ε hε
| Mathlib/NumberTheory/Padics/RingHoms.lean | 425 | 440 |
/-
Copyright (c) 2019 Alexander Bentkamp. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp, Yury Kudryashov, Yaël Dillies
-/
import Mathlib.Algebra.Order.BigOperators.Ring.Finset
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Module.Synonym
import Mathlib.Algebra.Ring.Action.Pointwise.Set
import Mathlib.Analysis.Convex.Star
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.NoncommRing
import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace.Defs
/-!
# 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 [Semiring 𝕜] [PartialOrder 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
variable {𝕜 s}
theorem Convex.starConvex (hs : Convex 𝕜 s) (hx : x ∈ s) : StarConvex 𝕜 x s :=
hs hx
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
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
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)
/-- 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 _ hx _ hy _ _ ha hb hab => (h ha hb hab) (Set.add_mem_add ⟨_, hx, rfl⟩ ⟨_, hy, rfl⟩)
alias ⟨Convex.set_combo_subset, _⟩ := convex_iff_pointwise_add_subset
theorem convex_empty : Convex 𝕜 (∅ : Set E) := fun _ => False.elim
theorem convex_univ : Convex 𝕜 (Set.univ : Set E) := fun _ _ => starConvex_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)
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
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
theorem convex_iInter₂ {ι : Sort*} {κ : ι → Sort*} {s : (i : ι) → 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
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)
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
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⟩
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
end SMul
section Module
variable [Module 𝕜 E] [Module 𝕜 F] {s : Set E} {x : E}
theorem convex_iff_openSegment_subset [ZeroLEOneClass 𝕜] :
Convex 𝕜 s ↔ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → openSegment 𝕜 x y ⊆ s :=
forall₂_congr fun _ => starConvex_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
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
theorem Convex.starConvex_iff [ZeroLEOneClass 𝕜] (hs : Convex 𝕜 s) (h : s.Nonempty) :
StarConvex 𝕜 x s ↔ x ∈ s :=
⟨fun hxs => hxs.mem h, hs.starConvex⟩
protected theorem Set.Subsingleton.convex {s : Set E} (h : s.Subsingleton) : Convex 𝕜 s :=
convex_iff_pairwise_pos.mpr (h.pairwise _)
@[simp] theorem convex_singleton (c : E) : Convex 𝕜 ({c} : Set E) :=
subsingleton_singleton.convex
theorem convex_zero : Convex 𝕜 (0 : Set E) :=
convex_singleton _
theorem convex_segment [IsOrderedRing 𝕜] (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]
· match_scalars <;> noncomm_ring
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]⟩
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
theorem Convex.linear_preimage {𝕜₁ : Type*} [Semiring 𝕜₁] [Module 𝕜₁ E] [Module 𝕜₁ F] {s : Set F}
[SMul 𝕜 𝕜₁] [IsScalarTower 𝕜 𝕜₁ E] [IsScalarTower 𝕜 𝕜₁ F] (hs : Convex 𝕜 s) (f : E →ₗ[𝕜₁] F) :
Convex 𝕜 (f ⁻¹' s) := fun x hx y hy a b ha hb hab => by
rw [mem_preimage, f.map_add, LinearMap.map_smul_of_tower, LinearMap.map_smul_of_tower]
exact hs hx hy ha hb hab
theorem Convex.is_linear_preimage {𝕜₁ : Type*} [Semiring 𝕜₁] [Module 𝕜₁ E] [Module 𝕜₁ F] {s : Set F}
[SMul 𝕜 𝕜₁] [IsScalarTower 𝕜 𝕜₁ E] [IsScalarTower 𝕜 𝕜₁ F] (hs : Convex 𝕜 s) {f : E → F}
(hf : IsLinearMap 𝕜₁ f) :
Convex 𝕜 (f ⁻¹' s) :=
hs.linear_preimage <| hf.mk' f
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
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
@[simp, norm_cast]
theorem coe_convexAddSubmonoid : ↑(convexAddSubmonoid 𝕜 E) = {s : Set E | Convex 𝕜 s} :=
rfl
variable {𝕜 E}
@[simp]
theorem mem_convexAddSubmonoid {s : Set E} : s ∈ convexAddSubmonoid 𝕜 E ↔ Convex 𝕜 s :=
Iff.rfl
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
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
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
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
theorem Convex.translate (hs : Convex 𝕜 s) (z : E) : Convex 𝕜 ((fun x => z + x) '' s) :=
hs.vadd _
/-- 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
/-- 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
section OrderedAddCommMonoid
variable [AddCommMonoid β] [PartialOrder β] [IsOrderedAddMonoid 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 _
theorem convex_Ici (r : β) : Convex 𝕜 (Ici r) :=
convex_Iic (β := βᵒᵈ) r
theorem convex_Icc (r s : β) : Convex 𝕜 (Icc r s) :=
Ici_inter_Iic.subst ((convex_Ici r).inter <| convex_Iic s)
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
@[deprecated (since := "2024-11-12")] alias 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
@[deprecated (since := "2024-11-12")] alias 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)
end OrderedAddCommMonoid
section OrderedCancelAddCommMonoid
variable [AddCommMonoid β] [PartialOrder β] [IsOrderedCancelAddMonoid 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 _
theorem convex_Ioi (r : β) : Convex 𝕜 (Ioi r) :=
convex_Iio (β := βᵒᵈ) r
theorem convex_Ioo (r s : β) : Convex 𝕜 (Ioo r s) :=
Ioi_inter_Iio.subst ((convex_Ioi r).inter <| convex_Iio s)
theorem convex_Ico (r s : β) : Convex 𝕜 (Ico r s) :=
Ici_inter_Iio.subst ((convex_Ici r).inter <| convex_Iio s)
theorem convex_Ioc (r s : β) : Convex 𝕜 (Ioc r s) :=
Ioi_inter_Iic.subst ((convex_Ioi r).inter <| convex_Iic s)
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
@[deprecated (since := "2024-11-12")] alias 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
@[deprecated (since := "2024-11-12")] alias convex_halfspace_gt := convex_halfSpace_gt
end OrderedCancelAddCommMonoid
section LinearOrderedAddCommMonoid
variable [AddCommMonoid β] [LinearOrder β] [IsOrderedAddMonoid β] [Module 𝕜 β] [OrderedSMul 𝕜 β]
theorem convex_uIcc (r s : β) : Convex 𝕜 (uIcc r s) :=
convex_Icc _ _
end LinearOrderedAddCommMonoid
end Module
end AddCommMonoid
section LinearOrderedAddCommMonoid
variable [AddCommMonoid E] [LinearOrder E] [IsOrderedAddMonoid E]
[PartialOrder 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)⟩
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)⟩
theorem MonotoneOn.convex_ge (hf : MonotoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | r ≤ f x }) :=
MonotoneOn.convex_le (E := Eᵒᵈ) (β := βᵒᵈ) hf.dual hs r
theorem MonotoneOn.convex_gt (hf : MonotoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | r < f x }) :=
MonotoneOn.convex_lt (E := Eᵒᵈ) (β := βᵒᵈ) hf.dual hs r
theorem AntitoneOn.convex_le (hf : AntitoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | f x ≤ r }) :=
MonotoneOn.convex_ge (β := βᵒᵈ) hf hs r
theorem AntitoneOn.convex_lt (hf : AntitoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | f x < r }) :=
MonotoneOn.convex_gt (β := βᵒᵈ) hf hs r
theorem AntitoneOn.convex_ge (hf : AntitoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | r ≤ f x }) :=
MonotoneOn.convex_le (β := βᵒᵈ) hf hs r
theorem AntitoneOn.convex_gt (hf : AntitoneOn f s) (hs : Convex 𝕜 s) (r : β) :
Convex 𝕜 ({ x ∈ s | r < f x }) :=
MonotoneOn.convex_lt (β := βᵒᵈ) hf hs r
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)
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)
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)
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)
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)
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)
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)
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)
end LinearOrderedAddCommMonoid
end OrderedSemiring
section OrderedCommSemiring
variable [CommSemiring 𝕜] [PartialOrder 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)
theorem Convex.smul_preimage (hs : Convex 𝕜 s) (c : 𝕜) : Convex 𝕜 ((fun z => c • z) ⁻¹' s) :=
hs.linear_preimage (LinearMap.lsmul _ _ c)
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
end AddCommMonoid
end OrderedCommSemiring
section StrictOrderedCommSemiring
variable [CommSemiring 𝕜] [PartialOrder 𝕜] [IsStrictOrderedRing 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, ?_, ?_⟩
· linear_combination (norm := noncomm_ring) a * habp + b * habq + hab
· module
end StrictOrderedCommSemiring
section OrderedRing
variable [Ring 𝕜] [PartialOrder 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 _⟩
/-- Affine subspaces are convex. -/
theorem AffineSubspace.convex (Q : AffineSubspace 𝕜 E) : Convex 𝕜 (Q : Set E) :=
fun x hx y hy a b _ _ hab ↦ by simpa [Convex.combo_eq_smul_sub_add hab] using Q.2 _ hy hx hx
/-- The preimage of a convex set under an affine map is convex. -/
theorem Convex.affine_preimage (f : E →ᵃ[𝕜] F) {s : Set F} (hs : Convex 𝕜 s) : Convex 𝕜 (f ⁻¹' s) :=
fun _ hx => (hs hx).affine_preimage _
/-- The image of a convex set under an affine map is convex. -/
theorem Convex.affine_image (f : E →ᵃ[𝕜] F) (hs : Convex 𝕜 s) : Convex 𝕜 (f '' s) := by
rintro _ ⟨x, hx, rfl⟩
exact (hs hx).affine_image _
theorem Convex.neg (hs : Convex 𝕜 s) : Convex 𝕜 (-s) :=
hs.is_linear_preimage IsLinearMap.isLinearMap_neg (𝕜₁ := 𝕜)
theorem Convex.sub (hs : Convex 𝕜 s) (ht : Convex 𝕜 t) : Convex 𝕜 (s - t) := by
rw [sub_eq_add_neg]
exact hs.add ht.neg
variable [AddRightMono 𝕜]
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 match_scalars <;> noncomm_ring
rw [h]
exact hs hx hy (sub_nonneg_of_le ht.2) ht.1 (sub_add_cancel _ _)
theorem Convex.smul_mem_of_zero_mem (hs : Convex 𝕜 s) {x : E} (zero_mem : (0 : E) ∈ s) (hx : x ∈ s)
{t : 𝕜} (ht : t ∈ Icc (0 : 𝕜) 1) : t • x ∈ s := by
simpa using hs.add_smul_mem zero_mem (by simpa using hx) ht
theorem Convex.mapsTo_lineMap (h : Convex 𝕜 s) {x y : E} (hx : x ∈ s) (hy : y ∈ s) :
MapsTo (AffineMap.lineMap x y) (Icc (0 : 𝕜) 1) s := by
simpa only [mapsTo', segment_eq_image_lineMap] using h.segment_subset hx hy
theorem Convex.lineMap_mem (h : Convex 𝕜 s) {x y : E} (hx : x ∈ s) (hy : y ∈ s) {t : 𝕜}
(ht : t ∈ Icc 0 1) : AffineMap.lineMap x y t ∈ s :=
h.mapsTo_lineMap hx hy ht
theorem Convex.add_smul_sub_mem (h : Convex 𝕜 s) {x y : E} (hx : x ∈ s) (hy : y ∈ s) {t : 𝕜}
(ht : t ∈ Icc (0 : 𝕜) 1) : x + t • (y - x) ∈ s := by
rw [add_comm]
exact h.lineMap_mem hx hy ht
end AddCommGroup
end OrderedRing
section LinearOrderedSemiring
variable [Semiring 𝕜] [LinearOrder 𝕜] [IsOrderedRing 𝕜] [AddCommMonoid E]
theorem Convex_subadditive_le [SMul 𝕜 E] {f : E → 𝕜} (hf1 : ∀ x y, f (x + y) ≤ (f x) + (f y))
(hf2 : ∀ ⦃c⦄ x, 0 ≤ c → f (c • x) ≤ c * f x) (B : 𝕜) :
Convex 𝕜 { x | f x ≤ B } := by
rw [convex_iff_segment_subset]
rintro x hx y hy z ⟨a, b, ha, hb, hs, rfl⟩
calc
_ ≤ a • (f x) + b • (f y) := le_trans (hf1 _ _) (add_le_add (hf2 x ha) (hf2 y hb))
_ ≤ a • B + b • B := by gcongr <;> assumption
_ ≤ B := by rw [← add_smul, hs, one_smul]
end LinearOrderedSemiring
theorem Convex.midpoint_mem [Ring 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜]
[AddCommGroup E] [Module 𝕜 E] [Invertible (2 : 𝕜)] {s : Set E} {x y : E}
(h : Convex 𝕜 s) (hx : x ∈ s) (hy : y ∈ s) : midpoint 𝕜 x y ∈ s :=
h.segment_subset hx hy <| midpoint_mem_segment x y
section LinearOrderedField
variable [Field 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜]
section AddCommGroup
variable [AddCommGroup E] [AddCommGroup F] [Module 𝕜 E] [Module 𝕜 F] {s : Set E}
/-- Alternative definition of set convexity, using division. -/
theorem convex_iff_div :
Convex 𝕜 s ↔ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s →
∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → 0 < a + b → (a / (a + b)) • x + (b / (a + b)) • y ∈ s :=
forall₂_congr fun _ _ => starConvex_iff_div
theorem Convex.mem_smul_of_zero_mem (h : Convex 𝕜 s) {x : E} (zero_mem : (0 : E) ∈ s) (hx : x ∈ s)
{t : 𝕜} (ht : 1 ≤ t) : x ∈ t • s := by
rw [mem_smul_set_iff_inv_smul_mem₀ (zero_lt_one.trans_le ht).ne']
exact h.smul_mem_of_zero_mem zero_mem hx
⟨inv_nonneg.2 (zero_le_one.trans ht), inv_le_one_of_one_le₀ ht⟩
theorem Convex.exists_mem_add_smul_eq (h : Convex 𝕜 s) {x y : E} {p q : 𝕜} (hx : x ∈ s) (hy : y ∈ s)
| (hp : 0 ≤ p) (hq : 0 ≤ q) : ∃ z ∈ s, (p + q) • z = p • x + q • y := by
rcases _root_.em (p = 0 ∧ q = 0) with (⟨rfl, rfl⟩ | hpq)
| Mathlib/Analysis/Convex/Basic.lean | 528 | 529 |
/-
Copyright (c) 2022 Violeta Hernández Palacios. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Violeta Hernández Palacios
-/
import Mathlib.SetTheory.Ordinal.Family
import Mathlib.Tactic.Abel
/-!
# Natural operations on ordinals
The goal of this file is to define natural addition and multiplication on ordinals, also known as
the Hessenberg sum and product, and provide a basic API. The natural addition of two ordinals
`a ♯ b` is recursively defined as the least ordinal greater than `a' ♯ b` and `a ♯ b'` for `a' < a`
and `b' < b`. The natural multiplication `a ⨳ b` is likewise recursively defined as the least
ordinal such that `a ⨳ b ♯ a' ⨳ b'` is greater than `a' ⨳ b ♯ a ⨳ b'` for any `a' < a` and
`b' < b`.
These operations form a rich algebraic structure: they're commutative, associative, preserve order,
have the usual `0` and `1` from ordinals, and distribute over one another.
Moreover, these operations are the addition and multiplication of ordinals when viewed as
combinatorial `Game`s. This makes them particularly useful for game theory.
Finally, both operations admit simple, intuitive descriptions in terms of the Cantor normal form.
The natural addition of two ordinals corresponds to adding their Cantor normal forms as if they were
polynomials in `ω`. Likewise, their natural multiplication corresponds to multiplying the Cantor
normal forms as polynomials.
## Implementation notes
Given the rich algebraic structure of these two operations, we choose to create a type synonym
`NatOrdinal`, where we provide the appropriate instances. However, to avoid casting back and forth
between both types, we attempt to prove and state most results on `Ordinal`.
## Todo
- Prove the characterizations of natural addition and multiplication in terms of the Cantor normal
form.
-/
universe u v
open Function Order Set
noncomputable section
/-! ### Basic casts between `Ordinal` and `NatOrdinal` -/
/-- A type synonym for ordinals with natural addition and multiplication. -/
def NatOrdinal : Type _ :=
Ordinal deriving Zero, Inhabited, One, WellFoundedRelation
-- The `LinearOrder, `SuccOrder` instances should be constructed by a deriving handler.
-- https://github.com/leanprover-community/mathlib4/issues/380
instance NatOrdinal.instLinearOrder : LinearOrder NatOrdinal := Ordinal.instLinearOrder
instance NatOrdinal.instSuccOrder : SuccOrder NatOrdinal := Ordinal.instSuccOrder
instance NatOrdinal.instOrderBot : OrderBot NatOrdinal := Ordinal.instOrderBot
instance NatOrdinal.instNoMaxOrder : NoMaxOrder NatOrdinal := Ordinal.instNoMaxOrder
instance NatOrdinal.instZeroLEOneClass : ZeroLEOneClass NatOrdinal := Ordinal.instZeroLEOneClass
instance NatOrdinal.instNeZeroOne : NeZero (1 : NatOrdinal) := Ordinal.instNeZeroOne
instance NatOrdinal.uncountable : Uncountable NatOrdinal :=
Ordinal.uncountable
/-- The identity function between `Ordinal` and `NatOrdinal`. -/
@[match_pattern]
def Ordinal.toNatOrdinal : Ordinal ≃o NatOrdinal :=
OrderIso.refl _
/-- The identity function between `NatOrdinal` and `Ordinal`. -/
@[match_pattern]
def NatOrdinal.toOrdinal : NatOrdinal ≃o Ordinal :=
OrderIso.refl _
namespace NatOrdinal
open Ordinal
@[simp]
theorem toOrdinal_symm_eq : NatOrdinal.toOrdinal.symm = Ordinal.toNatOrdinal :=
rfl
@[simp]
theorem toOrdinal_toNatOrdinal (a : NatOrdinal) : a.toOrdinal.toNatOrdinal = a :=
rfl
theorem lt_wf : @WellFounded NatOrdinal (· < ·) :=
Ordinal.lt_wf
instance : WellFoundedLT NatOrdinal :=
Ordinal.wellFoundedLT
instance : ConditionallyCompleteLinearOrderBot NatOrdinal :=
WellFoundedLT.conditionallyCompleteLinearOrderBot _
@[simp] theorem bot_eq_zero : (⊥ : NatOrdinal) = 0 := rfl
@[simp] theorem toOrdinal_zero : toOrdinal 0 = 0 := rfl
@[simp] theorem toOrdinal_one : toOrdinal 1 = 1 := rfl
@[simp] theorem toOrdinal_eq_zero {a} : toOrdinal a = 0 ↔ a = 0 := Iff.rfl
@[simp] theorem toOrdinal_eq_one {a} : toOrdinal a = 1 ↔ a = 1 := Iff.rfl
@[simp]
theorem toOrdinal_max (a b : NatOrdinal) : toOrdinal (max a b) = max (toOrdinal a) (toOrdinal b) :=
rfl
@[simp]
theorem toOrdinal_min (a b : NatOrdinal) : toOrdinal (min a b) = min (toOrdinal a) (toOrdinal b) :=
rfl
theorem succ_def (a : NatOrdinal) : succ a = toNatOrdinal (toOrdinal a + 1) :=
rfl
@[simp]
theorem zero_le (o : NatOrdinal) : 0 ≤ o :=
Ordinal.zero_le o
theorem not_lt_zero (o : NatOrdinal) : ¬ o < 0 :=
Ordinal.not_lt_zero o
@[simp]
theorem lt_one_iff_zero {o : NatOrdinal} : o < 1 ↔ o = 0 :=
Ordinal.lt_one_iff_zero
/-- A recursor for `NatOrdinal`. Use as `induction x`. -/
@[elab_as_elim, cases_eliminator, induction_eliminator]
protected def rec {β : NatOrdinal → Sort*} (h : ∀ a, β (toNatOrdinal a)) : ∀ a, β a := fun a =>
h (toOrdinal a)
/-- `Ordinal.induction` but for `NatOrdinal`. -/
theorem induction {p : NatOrdinal → Prop} : ∀ (i) (_ : ∀ j, (∀ k, k < j → p k) → p j), p i :=
Ordinal.induction
instance small_Iio (a : NatOrdinal.{u}) : Small.{u} (Set.Iio a) := Ordinal.small_Iio a
instance small_Iic (a : NatOrdinal.{u}) : Small.{u} (Set.Iic a) := Ordinal.small_Iic a
instance small_Ico (a b : NatOrdinal.{u}) : Small.{u} (Set.Ico a b) := Ordinal.small_Ico a b
instance small_Icc (a b : NatOrdinal.{u}) : Small.{u} (Set.Icc a b) := Ordinal.small_Icc a b
instance small_Ioo (a b : NatOrdinal.{u}) : Small.{u} (Set.Ioo a b) := Ordinal.small_Ioo a b
instance small_Ioc (a b : NatOrdinal.{u}) : Small.{u} (Set.Ioc a b) := Ordinal.small_Ioc a b
end NatOrdinal
namespace Ordinal
variable {a b c : Ordinal.{u}}
@[simp] theorem toNatOrdinal_symm_eq : toNatOrdinal.symm = NatOrdinal.toOrdinal := rfl
@[simp] theorem toNatOrdinal_toOrdinal (a : Ordinal) : a.toNatOrdinal.toOrdinal = a := rfl
@[simp] theorem toNatOrdinal_zero : toNatOrdinal 0 = 0 := rfl
@[simp] theorem toNatOrdinal_one : toNatOrdinal 1 = 1 := rfl
@[simp] theorem toNatOrdinal_eq_zero (a) : toNatOrdinal a = 0 ↔ a = 0 := Iff.rfl
@[simp] theorem toNatOrdinal_eq_one (a) : toNatOrdinal a = 1 ↔ a = 1 := Iff.rfl
@[simp]
theorem toNatOrdinal_max (a b : Ordinal) :
toNatOrdinal (max a b) = max (toNatOrdinal a) (toNatOrdinal b) :=
rfl
@[simp]
theorem toNatOrdinal_min (a b : Ordinal) :
toNatOrdinal (min a b) = min (toNatOrdinal a) (toNatOrdinal b) :=
rfl
/-! We place the definitions of `nadd` and `nmul` before actually developing their API, as this
guarantees we only need to open the `NaturalOps` locale once. -/
/-- Natural addition on ordinals `a ♯ b`, also known as the Hessenberg sum, is recursively defined
as the least ordinal greater than `a' ♯ b` and `a ♯ b'` for all `a' < a` and `b' < b`. In contrast
to normal ordinal addition, it is commutative.
Natural addition can equivalently be characterized as the ordinal resulting from adding up
corresponding coefficients in the Cantor normal forms of `a` and `b`. -/
noncomputable def nadd (a b : Ordinal.{u}) : Ordinal.{u} :=
max (⨆ x : Iio a, succ (nadd x.1 b)) (⨆ x : Iio b, succ (nadd a x.1))
termination_by (a, b)
decreasing_by all_goals cases x; decreasing_tactic
@[inherit_doc]
scoped[NaturalOps] infixl:65 " ♯ " => Ordinal.nadd
open NaturalOps
/-- Natural multiplication on ordinals `a ⨳ b`, also known as the Hessenberg product, is recursively
defined as the least ordinal such that `a ⨳ b ♯ a' ⨳ b'` is greater than `a' ⨳ b ♯ a ⨳ b'` for all
`a' < a` and `b < b'`. In contrast to normal ordinal multiplication, it is commutative and
distributive (over natural addition).
Natural multiplication can equivalently be characterized as the ordinal resulting from multiplying
the Cantor normal forms of `a` and `b` as if they were polynomials in `ω`. Addition of exponents is
done via natural addition. -/
noncomputable def nmul (a b : Ordinal.{u}) : Ordinal.{u} :=
sInf {c | ∀ a' < a, ∀ b' < b, nmul a' b ♯ nmul a b' < c ♯ nmul a' b'}
termination_by (a, b)
@[inherit_doc]
scoped[NaturalOps] infixl:70 " ⨳ " => Ordinal.nmul
/-! ### Natural addition -/
theorem lt_nadd_iff : a < b ♯ c ↔ (∃ b' < b, a ≤ b' ♯ c) ∨ ∃ c' < c, a ≤ b ♯ c' := by
rw [nadd]
simp [Ordinal.lt_iSup_iff]
theorem nadd_le_iff : b ♯ c ≤ a ↔ (∀ b' < b, b' ♯ c < a) ∧ ∀ c' < c, b ♯ c' < a := by
rw [← not_lt, lt_nadd_iff]
simp
theorem nadd_lt_nadd_left (h : b < c) (a) : a ♯ b < a ♯ c :=
lt_nadd_iff.2 (Or.inr ⟨b, h, le_rfl⟩)
theorem nadd_lt_nadd_right (h : b < c) (a) : b ♯ a < c ♯ a :=
lt_nadd_iff.2 (Or.inl ⟨b, h, le_rfl⟩)
theorem nadd_le_nadd_left (h : b ≤ c) (a) : a ♯ b ≤ a ♯ c := by
rcases lt_or_eq_of_le h with (h | rfl)
· exact (nadd_lt_nadd_left h a).le
· exact le_rfl
theorem nadd_le_nadd_right (h : b ≤ c) (a) : b ♯ a ≤ c ♯ a := by
rcases lt_or_eq_of_le h with (h | rfl)
· exact (nadd_lt_nadd_right h a).le
· exact le_rfl
variable (a b)
theorem nadd_comm (a b) : a ♯ b = b ♯ a := by
rw [nadd, nadd, max_comm]
congr <;> ext x <;> cases x <;> apply congr_arg _ (nadd_comm _ _)
termination_by (a, b)
@[deprecated "blsub will soon be deprecated" (since := "2024-11-18")]
theorem blsub_nadd_of_mono {f : ∀ c < a ♯ b, Ordinal.{max u v}}
(hf : ∀ {i j} (hi hj), i ≤ j → f i hi ≤ f j hj) :
blsub.{u,v} _ f =
max (blsub.{u, v} a fun a' ha' => f (a' ♯ b) <| nadd_lt_nadd_right ha' b)
(blsub.{u, v} b fun b' hb' => f (a ♯ b') <| nadd_lt_nadd_left hb' a) := by
apply (blsub_le_iff.2 fun i h => _).antisymm (max_le _ _)
· intro i h
rcases lt_nadd_iff.1 h with (⟨a', ha', hi⟩ | ⟨b', hb', hi⟩)
· exact lt_max_of_lt_left ((hf h (nadd_lt_nadd_right ha' b) hi).trans_lt (lt_blsub _ _ ha'))
· exact lt_max_of_lt_right ((hf h (nadd_lt_nadd_left hb' a) hi).trans_lt (lt_blsub _ _ hb'))
all_goals
apply blsub_le_of_brange_subset.{u, u, v}
rintro c ⟨d, hd, rfl⟩
apply mem_brange_self
private theorem iSup_nadd_of_monotone {a b} (f : Ordinal.{u} → Ordinal.{u}) (h : Monotone f) :
⨆ x : Iio (a ♯ b), f x = max (⨆ a' : Iio a, f (a'.1 ♯ b)) (⨆ b' : Iio b, f (a ♯ b'.1)) := by
apply (max_le _ _).antisymm'
· rw [Ordinal.iSup_le_iff]
rintro ⟨i, hi⟩
obtain ⟨x, hx, hi⟩ | ⟨x, hx, hi⟩ := lt_nadd_iff.1 hi
· exact le_max_of_le_left ((h hi).trans <| Ordinal.le_iSup (fun x : Iio a ↦ _) ⟨x, hx⟩)
· exact le_max_of_le_right ((h hi).trans <| Ordinal.le_iSup (fun x : Iio b ↦ _) ⟨x, hx⟩)
all_goals
apply csSup_le_csSup' (bddAbove_of_small _)
rintro _ ⟨⟨c, hc⟩, rfl⟩
refine mem_range_self (⟨_, ?_⟩ : Iio _)
apply_rules [nadd_lt_nadd_left, nadd_lt_nadd_right]
theorem nadd_assoc (a b c) : a ♯ b ♯ c = a ♯ (b ♯ c) := by
unfold nadd
rw [iSup_nadd_of_monotone fun a' ↦ succ (a' ♯ c), iSup_nadd_of_monotone fun b' ↦ succ (a ♯ b'),
max_assoc]
· congr <;> ext x <;> cases x <;> apply congr_arg _ (nadd_assoc _ _ _)
· exact succ_mono.comp fun x y h ↦ nadd_le_nadd_left h _
· exact succ_mono.comp fun x y h ↦ nadd_le_nadd_right h _
termination_by (a, b, c)
@[simp]
theorem nadd_zero (a : Ordinal) : a ♯ 0 = a := by
rw [nadd, ciSup_of_empty fun _ : Iio 0 ↦ _, sup_bot_eq]
convert iSup_succ a
rename_i x
cases x
exact nadd_zero _
termination_by a
@[simp]
theorem zero_nadd : 0 ♯ a = a := by rw [nadd_comm, nadd_zero]
@[simp]
theorem nadd_one (a : Ordinal) : a ♯ 1 = succ a := by
rw [nadd, ciSup_unique (s := fun _ : Iio 1 ↦ _), Iio_one_default_eq, nadd_zero,
max_eq_right_iff, Ordinal.iSup_le_iff]
rintro ⟨i, hi⟩
rwa [nadd_one, succ_le_succ_iff, succ_le_iff]
termination_by a
@[simp]
theorem one_nadd : 1 ♯ a = succ a := by rw [nadd_comm, nadd_one]
theorem nadd_succ : a ♯ succ b = succ (a ♯ b) := by rw [← nadd_one (a ♯ b), nadd_assoc, nadd_one]
theorem succ_nadd : succ a ♯ b = succ (a ♯ b) := by rw [← one_nadd (a ♯ b), ← nadd_assoc, one_nadd]
@[simp]
theorem nadd_nat (n : ℕ) : a ♯ n = a + n := by
induction' n with n hn
· simp
· rw [Nat.cast_succ, add_one_eq_succ, nadd_succ, add_succ, hn]
@[simp]
theorem nat_nadd (n : ℕ) : ↑n ♯ a = a + n := by rw [nadd_comm, nadd_nat]
theorem add_le_nadd : a + b ≤ a ♯ b := by
induction b using limitRecOn with
| zero => simp
| succ c h =>
rwa [add_succ, nadd_succ, succ_le_succ_iff]
| isLimit c hc H =>
rw [(isNormal_add_right a).apply_of_isLimit hc, Ordinal.iSup_le_iff]
rintro ⟨i, hi⟩
exact (H i hi).trans (nadd_le_nadd_left hi.le a)
end Ordinal
namespace NatOrdinal
open Ordinal NaturalOps
instance : Add NatOrdinal := ⟨nadd⟩
instance : SuccAddOrder NatOrdinal := ⟨fun x => (nadd_one x).symm⟩
theorem lt_add_iff {a b c : NatOrdinal} :
a < b + c ↔ (∃ b' < b, a ≤ b' + c) ∨ ∃ c' < c, a ≤ b + c' :=
Ordinal.lt_nadd_iff
theorem add_le_iff {a b c : NatOrdinal} :
b + c ≤ a ↔ (∀ b' < b, b' + c < a) ∧ ∀ c' < c, b + c' < a :=
Ordinal.nadd_le_iff
instance : AddLeftStrictMono NatOrdinal.{u} :=
⟨fun a _ _ h => nadd_lt_nadd_left h a⟩
instance : AddLeftMono NatOrdinal.{u} :=
⟨fun a _ _ h => nadd_le_nadd_left h a⟩
instance : AddLeftReflectLE NatOrdinal.{u} :=
⟨fun a b c h => by
by_contra! h'
exact h.not_lt (add_lt_add_left h' a)⟩
instance : AddCommMonoid NatOrdinal :=
{ add := (· + ·)
add_assoc := nadd_assoc
zero := 0
zero_add := zero_nadd
add_zero := nadd_zero
add_comm := nadd_comm
nsmul := nsmulRec }
instance : IsOrderedCancelAddMonoid NatOrdinal :=
{ add_le_add_left := fun _ _ => add_le_add_left
le_of_add_le_add_left := fun _ _ _ => le_of_add_le_add_left }
instance : AddMonoidWithOne NatOrdinal :=
AddMonoidWithOne.unary
@[simp]
theorem toOrdinal_natCast (n : ℕ) : toOrdinal n = n := by
induction' n with n hn
· rfl
· change (toOrdinal n) ♯ 1 = n + 1
rw [hn]; exact nadd_one n
instance : CharZero NatOrdinal where
cast_injective m n h := by
apply_fun toOrdinal at h
simpa using h
end NatOrdinal
open NatOrdinal
open NaturalOps
namespace Ordinal
theorem nadd_eq_add (a b : Ordinal) : a ♯ b = toOrdinal (toNatOrdinal a + toNatOrdinal b) :=
rfl
@[simp]
theorem toNatOrdinal_natCast (n : ℕ) : toNatOrdinal n = n := by
rw [← toOrdinal_natCast n]
rfl
theorem lt_of_nadd_lt_nadd_left : ∀ {a b c}, a ♯ b < a ♯ c → b < c :=
@lt_of_add_lt_add_left NatOrdinal _ _ _
theorem lt_of_nadd_lt_nadd_right : ∀ {a b c}, b ♯ a < c ♯ a → b < c :=
@lt_of_add_lt_add_right NatOrdinal _ _ _
theorem le_of_nadd_le_nadd_left : ∀ {a b c}, a ♯ b ≤ a ♯ c → b ≤ c :=
@le_of_add_le_add_left NatOrdinal _ _ _
theorem le_of_nadd_le_nadd_right : ∀ {a b c}, b ♯ a ≤ c ♯ a → b ≤ c :=
@le_of_add_le_add_right NatOrdinal _ _ _
@[simp]
theorem nadd_lt_nadd_iff_left : ∀ (a) {b c}, a ♯ b < a ♯ c ↔ b < c :=
@add_lt_add_iff_left NatOrdinal _ _ _ _
@[simp]
theorem nadd_lt_nadd_iff_right : ∀ (a) {b c}, b ♯ a < c ♯ a ↔ b < c :=
@add_lt_add_iff_right NatOrdinal _ _ _ _
@[simp]
theorem nadd_le_nadd_iff_left : ∀ (a) {b c}, a ♯ b ≤ a ♯ c ↔ b ≤ c :=
@add_le_add_iff_left NatOrdinal _ _ _ _
@[simp]
theorem nadd_le_nadd_iff_right : ∀ (a) {b c}, b ♯ a ≤ c ♯ a ↔ b ≤ c :=
@_root_.add_le_add_iff_right NatOrdinal _ _ _ _
theorem nadd_le_nadd : ∀ {a b c d}, a ≤ b → c ≤ d → a ♯ c ≤ b ♯ d :=
@add_le_add NatOrdinal _ _ _ _
theorem nadd_lt_nadd : ∀ {a b c d}, a < b → c < d → a ♯ c < b ♯ d :=
@add_lt_add NatOrdinal _ _ _ _
theorem nadd_lt_nadd_of_lt_of_le : ∀ {a b c d}, a < b → c ≤ d → a ♯ c < b ♯ d :=
@add_lt_add_of_lt_of_le NatOrdinal _ _ _ _
theorem nadd_lt_nadd_of_le_of_lt : ∀ {a b c d}, a ≤ b → c < d → a ♯ c < b ♯ d :=
@add_lt_add_of_le_of_lt NatOrdinal _ _ _ _
theorem nadd_left_cancel : ∀ {a b c}, a ♯ b = a ♯ c → b = c :=
@_root_.add_left_cancel NatOrdinal _ _
theorem nadd_right_cancel : ∀ {a b c}, a ♯ b = c ♯ b → a = c :=
@_root_.add_right_cancel NatOrdinal _ _
@[simp]
theorem nadd_left_cancel_iff : ∀ {a b c}, a ♯ b = a ♯ c ↔ b = c :=
@add_left_cancel_iff NatOrdinal _ _
@[simp]
theorem nadd_right_cancel_iff : ∀ {a b c}, b ♯ a = c ♯ a ↔ b = c :=
@add_right_cancel_iff NatOrdinal _ _
theorem le_nadd_self {a b} : a ≤ b ♯ a := by simpa using nadd_le_nadd_right (Ordinal.zero_le b) a
theorem le_nadd_left {a b c} (h : a ≤ c) : a ≤ b ♯ c :=
le_nadd_self.trans (nadd_le_nadd_left h b)
theorem le_self_nadd {a b} : a ≤ a ♯ b := by simpa using nadd_le_nadd_left (Ordinal.zero_le b) a
theorem le_nadd_right {a b c} (h : a ≤ b) : a ≤ b ♯ c :=
le_self_nadd.trans (nadd_le_nadd_right h c)
theorem nadd_left_comm : ∀ a b c, a ♯ (b ♯ c) = b ♯ (a ♯ c) :=
@add_left_comm NatOrdinal _
theorem nadd_right_comm : ∀ a b c, a ♯ b ♯ c = a ♯ c ♯ b :=
@add_right_comm NatOrdinal _
/-! ### Natural multiplication -/
variable {a b c d : Ordinal.{u}}
@[deprecated "avoid using the definition of `nmul` directly" (since := "2024-11-19")]
theorem nmul_def (a b : Ordinal) :
a ⨳ b = sInf {c | ∀ a' < a, ∀ b' < b, a' ⨳ b ♯ a ⨳ b' < c ♯ a' ⨳ b'} := by
rw [nmul]
/-- The set in the definition of `nmul` is nonempty. -/
private theorem nmul_nonempty (a b : Ordinal.{u}) :
{c : Ordinal.{u} | ∀ a' < a, ∀ b' < b, a' ⨳ b ♯ a ⨳ b' < c ♯ a' ⨳ b'}.Nonempty := by
obtain ⟨c, hc⟩ : BddAbove ((fun x ↦ x.1 ⨳ b ♯ a ⨳ x.2) '' Set.Iio a ×ˢ Set.Iio b) :=
bddAbove_of_small _
exact ⟨_, fun x hx y hy ↦
(lt_succ_of_le <| hc <| Set.mem_image_of_mem _ <| Set.mk_mem_prod hx hy).trans_le le_self_nadd⟩
theorem nmul_nadd_lt {a' b' : Ordinal} (ha : a' < a) (hb : b' < b) :
a' ⨳ b ♯ a ⨳ b' < a ⨳ b ♯ a' ⨳ b' := by
conv_rhs => rw [nmul]
exact csInf_mem (nmul_nonempty a b) a' ha b' hb
theorem nmul_nadd_le {a' b' : Ordinal} (ha : a' ≤ a) (hb : b' ≤ b) :
a' ⨳ b ♯ a ⨳ b' ≤ a ⨳ b ♯ a' ⨳ b' := by
rcases lt_or_eq_of_le ha with (ha | rfl)
· rcases lt_or_eq_of_le hb with (hb | rfl)
· exact (nmul_nadd_lt ha hb).le
· rw [nadd_comm]
· exact le_rfl
theorem lt_nmul_iff : c < a ⨳ b ↔ ∃ a' < a, ∃ b' < b, c ♯ a' ⨳ b' ≤ a' ⨳ b ♯ a ⨳ b' := by
refine ⟨fun h => ?_, ?_⟩
· rw [nmul] at h
simpa using not_mem_of_lt_csInf h ⟨0, fun _ _ => bot_le⟩
· rintro ⟨a', ha, b', hb, h⟩
have := h.trans_lt (nmul_nadd_lt ha hb)
rwa [nadd_lt_nadd_iff_right] at this
theorem nmul_le_iff : a ⨳ b ≤ c ↔ ∀ a' < a, ∀ b' < b, a' ⨳ b ♯ a ⨳ b' < c ♯ a' ⨳ b' := by
rw [← not_iff_not]; simp [lt_nmul_iff]
theorem nmul_comm (a b) : a ⨳ b = b ⨳ a := by
rw [nmul, nmul]
congr; ext x; constructor <;> intro H c hc d hd
· rw [nadd_comm, ← nmul_comm, ← nmul_comm a, ← nmul_comm d]
exact H _ hd _ hc
· rw [nadd_comm, nmul_comm, nmul_comm c, nmul_comm c]
exact H _ hd _ hc
termination_by (a, b)
@[simp]
theorem nmul_zero (a) : a ⨳ 0 = 0 := by
rw [← Ordinal.le_zero, nmul_le_iff]
exact fun _ _ a ha => (Ordinal.not_lt_zero a ha).elim
@[simp]
theorem zero_nmul (a) : 0 ⨳ a = 0 := by rw [nmul_comm, nmul_zero]
@[simp]
theorem nmul_one (a : Ordinal) : a ⨳ 1 = a := by
rw [nmul]
convert csInf_Ici
ext b
refine ⟨fun H ↦ le_of_forall_lt (a := a) fun c hc ↦ ?_, fun ha c hc ↦ ?_⟩
-- Porting note: had to add arguments to `nmul_one` in the next two lines
-- for the termination checker.
· simpa [nmul_one c] using H c hc
· simpa [nmul_one c] using hc.trans_le ha
termination_by a
@[simp]
theorem one_nmul (a) : 1 ⨳ a = a := by rw [nmul_comm, nmul_one]
theorem nmul_lt_nmul_of_pos_left (h₁ : a < b) (h₂ : 0 < c) : c ⨳ a < c ⨳ b :=
lt_nmul_iff.2 ⟨0, h₂, a, h₁, by simp⟩
theorem nmul_lt_nmul_of_pos_right (h₁ : a < b) (h₂ : 0 < c) : a ⨳ c < b ⨳ c :=
lt_nmul_iff.2 ⟨a, h₁, 0, h₂, by simp⟩
theorem nmul_le_nmul_left (h : a ≤ b) (c) : c ⨳ a ≤ c ⨳ b := by
rcases lt_or_eq_of_le h with (h₁ | rfl) <;> rcases (eq_zero_or_pos c).symm with (h₂ | rfl)
· exact (nmul_lt_nmul_of_pos_left h₁ h₂).le
all_goals simp
theorem nmul_le_nmul_right (h : a ≤ b) (c) : a ⨳ c ≤ b ⨳ c := by
rw [nmul_comm, nmul_comm b]
exact nmul_le_nmul_left h c
theorem nmul_nadd (a b c : Ordinal) : a ⨳ (b ♯ c) = a ⨳ b ♯ a ⨳ c := by
refine le_antisymm (nmul_le_iff.2 fun a' ha d hd => ?_)
(nadd_le_iff.2 ⟨fun d hd => ?_, fun d hd => ?_⟩)
· rw [nmul_nadd]
rcases lt_nadd_iff.1 hd with (⟨b', hb, hd⟩ | ⟨c', hc, hd⟩)
· have := nadd_lt_nadd_of_lt_of_le (nmul_nadd_lt ha hb) (nmul_nadd_le ha.le hd)
rw [nmul_nadd, nmul_nadd] at this
simp only [nadd_assoc] at this
rwa [nadd_left_comm, nadd_left_comm _ (a ⨳ b'), nadd_left_comm (a ⨳ b),
nadd_lt_nadd_iff_left, nadd_left_comm (a' ⨳ b), nadd_left_comm (a ⨳ b),
nadd_lt_nadd_iff_left, ← nadd_assoc, ← nadd_assoc] at this
· have := nadd_lt_nadd_of_le_of_lt (nmul_nadd_le ha.le hd) (nmul_nadd_lt ha hc)
rw [nmul_nadd, nmul_nadd] at this
simp only [nadd_assoc] at this
rwa [nadd_left_comm, nadd_comm (a ⨳ c), nadd_left_comm (a' ⨳ d), nadd_left_comm (a ⨳ c'),
nadd_left_comm (a ⨳ b), nadd_lt_nadd_iff_left, nadd_comm (a' ⨳ c), nadd_left_comm (a ⨳ d),
nadd_left_comm (a' ⨳ b), nadd_left_comm (a ⨳ b), nadd_lt_nadd_iff_left, nadd_comm (a ⨳ d),
nadd_comm (a' ⨳ d), ← nadd_assoc, ← nadd_assoc] at this
· rcases lt_nmul_iff.1 hd with ⟨a', ha, b', hb, hd⟩
have := nadd_lt_nadd_of_le_of_lt hd (nmul_nadd_lt ha (nadd_lt_nadd_right hb c))
rw [nmul_nadd, nmul_nadd, nmul_nadd a'] at this
simp only [nadd_assoc] at this
rwa [nadd_left_comm (a' ⨳ b'), nadd_left_comm, nadd_lt_nadd_iff_left, nadd_left_comm,
nadd_left_comm _ (a' ⨳ b'), nadd_left_comm (a ⨳ b'), nadd_lt_nadd_iff_left,
nadd_left_comm (a' ⨳ c), nadd_left_comm, nadd_lt_nadd_iff_left, nadd_left_comm,
nadd_comm _ (a' ⨳ c), nadd_lt_nadd_iff_left] at this
· rcases lt_nmul_iff.1 hd with ⟨a', ha, c', hc, hd⟩
have := nadd_lt_nadd_of_lt_of_le (nmul_nadd_lt ha (nadd_lt_nadd_left hc b)) hd
rw [nmul_nadd, nmul_nadd, nmul_nadd a'] at this
simp only [nadd_assoc] at this
rwa [nadd_left_comm _ (a' ⨳ b), nadd_lt_nadd_iff_left, nadd_left_comm (a' ⨳ c'),
nadd_left_comm _ (a' ⨳ c), nadd_lt_nadd_iff_left, nadd_left_comm, nadd_comm (a' ⨳ c'),
nadd_left_comm _ (a ⨳ c'), nadd_lt_nadd_iff_left, nadd_comm _ (a' ⨳ c'),
nadd_comm _ (a' ⨳ c'), nadd_left_comm, nadd_lt_nadd_iff_left] at this
termination_by (a, b, c)
theorem nadd_nmul (a b c) : (a ♯ b) ⨳ c = a ⨳ c ♯ b ⨳ c := by
rw [nmul_comm, nmul_nadd, nmul_comm, nmul_comm c]
theorem nmul_nadd_lt₃ {a' b' c' : Ordinal} (ha : a' < a) (hb : b' < b) (hc : c' < c) :
a' ⨳ b ⨳ c ♯ a ⨳ b' ⨳ c ♯ a ⨳ b ⨳ c' ♯ a' ⨳ b' ⨳ c' <
a ⨳ b ⨳ c ♯ a' ⨳ b' ⨳ c ♯ a' ⨳ b ⨳ c' ♯ a ⨳ b' ⨳ c' := by
simpa only [nadd_nmul, ← nadd_assoc] using nmul_nadd_lt (nmul_nadd_lt ha hb) hc
theorem nmul_nadd_le₃ {a' b' c' : Ordinal} (ha : a' ≤ a) (hb : b' ≤ b) (hc : c' ≤ c) :
a' ⨳ b ⨳ c ♯ a ⨳ b' ⨳ c ♯ a ⨳ b ⨳ c' ♯ a' ⨳ b' ⨳ c' ≤
a ⨳ b ⨳ c ♯ a' ⨳ b' ⨳ c ♯ a' ⨳ b ⨳ c' ♯ a ⨳ b' ⨳ c' := by
simpa only [nadd_nmul, ← nadd_assoc] using nmul_nadd_le (nmul_nadd_le ha hb) hc
private theorem nmul_nadd_lt₃' {a' b' c' : Ordinal} (ha : a' < a) (hb : b' < b) (hc : c' < c) :
a' ⨳ (b ⨳ c) ♯ a ⨳ (b' ⨳ c) ♯ a ⨳ (b ⨳ c') ♯ a' ⨳ (b' ⨳ c') <
a ⨳ (b ⨳ c) ♯ a' ⨳ (b' ⨳ c) ♯ a' ⨳ (b ⨳ c') ♯ a ⨳ (b' ⨳ c') := by
simp only [nmul_comm _ (_ ⨳ _)]
convert nmul_nadd_lt₃ hb hc ha using 1 <;>
(simp only [nadd_eq_add, NatOrdinal.toOrdinal_toNatOrdinal]; abel_nf)
@[deprecated nmul_nadd_le₃ (since := "2024-11-19")]
theorem nmul_nadd_le₃' {a' b' c' : Ordinal} (ha : a' ≤ a) (hb : b' ≤ b) (hc : c' ≤ c) :
a' ⨳ (b ⨳ c) ♯ a ⨳ (b' ⨳ c) ♯ a ⨳ (b ⨳ c') ♯ a' ⨳ (b' ⨳ c') ≤
a ⨳ (b ⨳ c) ♯ a' ⨳ (b' ⨳ c) ♯ a' ⨳ (b ⨳ c') ♯ a ⨳ (b' ⨳ c') := by
simp only [nmul_comm _ (_ ⨳ _)]
convert nmul_nadd_le₃ hb hc ha using 1 <;>
(simp only [nadd_eq_add, NatOrdinal.toOrdinal_toNatOrdinal]; abel_nf)
theorem lt_nmul_iff₃ : d < a ⨳ b ⨳ c ↔ ∃ a' < a, ∃ b' < b, ∃ c' < c,
d ♯ a' ⨳ b' ⨳ c ♯ a' ⨳ b ⨳ c' ♯ a ⨳ b' ⨳ c' ≤
a' ⨳ b ⨳ c ♯ a ⨳ b' ⨳ c ♯ a ⨳ b ⨳ c' ♯ a' ⨳ b' ⨳ c' := by
refine ⟨fun h ↦ ?_, fun ⟨a', ha, b', hb, c', hc, h⟩ ↦ ?_⟩
· rcases lt_nmul_iff.1 h with ⟨e, he, c', hc, H₁⟩
rcases lt_nmul_iff.1 he with ⟨a', ha, b', hb, H₂⟩
refine ⟨a', ha, b', hb, c', hc, ?_⟩
have := nadd_le_nadd H₁ (nmul_nadd_le H₂ hc.le)
simp only [nadd_nmul, nadd_assoc] at this
rw [nadd_left_comm, nadd_left_comm d, nadd_left_comm, nadd_le_nadd_iff_left,
nadd_left_comm (a ⨳ b' ⨳ c), nadd_left_comm (a' ⨳ b ⨳ c), nadd_left_comm (a ⨳ b ⨳ c'),
nadd_le_nadd_iff_left, nadd_left_comm (a ⨳ b ⨳ c'), nadd_left_comm (a ⨳ b ⨳ c')] at this
simpa only [nadd_assoc]
· have := h.trans_lt (nmul_nadd_lt₃ ha hb hc)
repeat rw [nadd_lt_nadd_iff_right] at this
assumption
theorem nmul_le_iff₃ : a ⨳ b ⨳ c ≤ d ↔ ∀ a' < a, ∀ b' < b, ∀ c' < c,
a' ⨳ b ⨳ c ♯ a ⨳ b' ⨳ c ♯ a ⨳ b ⨳ c' ♯ a' ⨳ b' ⨳ c' <
d ♯ a' ⨳ b' ⨳ c ♯ a' ⨳ b ⨳ c' ♯ a ⨳ b' ⨳ c' := by
simpa using lt_nmul_iff₃.not
private theorem nmul_le_iff₃' : a ⨳ (b ⨳ c) ≤ d ↔ ∀ a' < a, ∀ b' < b, ∀ c' < c,
a' ⨳ (b ⨳ c) ♯ a ⨳ (b' ⨳ c) ♯ a ⨳ (b ⨳ c') ♯ a' ⨳ (b' ⨳ c') <
d ♯ a' ⨳ (b' ⨳ c) ♯ a' ⨳ (b ⨳ c') ♯ a ⨳ (b' ⨳ c') := by
simp only [nmul_comm _ (_ ⨳ _), nmul_le_iff₃, nadd_eq_add, toOrdinal_toNatOrdinal]
constructor <;> intro h a' ha b' hb c' hc
· convert h b' hb c' hc a' ha using 1 <;> abel_nf
· convert h c' hc a' ha b' hb using 1 <;> abel_nf
@[deprecated lt_nmul_iff₃ (since := "2024-11-19")]
theorem lt_nmul_iff₃' : d < a ⨳ (b ⨳ c) ↔ ∃ a' < a, ∃ b' < b, ∃ c' < c,
d ♯ a' ⨳ (b' ⨳ c) ♯ a' ⨳ (b ⨳ c') ♯ a ⨳ (b' ⨳ c') ≤
a' ⨳ (b ⨳ c) ♯ a ⨳ (b' ⨳ c) ♯ a ⨳ (b ⨳ c') ♯ a' ⨳ (b' ⨳ c') := by
simpa using nmul_le_iff₃'.not
theorem nmul_assoc (a b c : Ordinal) : a ⨳ b ⨳ c = a ⨳ (b ⨳ c) := by
apply le_antisymm
· rw [nmul_le_iff₃]
intro a' ha b' hb c' hc
repeat rw [nmul_assoc]
exact nmul_nadd_lt₃' ha hb hc
· rw [nmul_le_iff₃']
intro a' ha b' hb c' hc
repeat rw [← nmul_assoc]
exact nmul_nadd_lt₃ ha hb hc
termination_by (a, b, c)
end Ordinal
namespace NatOrdinal
open Ordinal
instance : Mul NatOrdinal :=
⟨nmul⟩
theorem lt_mul_iff {a b c : NatOrdinal} :
c < a * b ↔ ∃ a' < a, ∃ b' < b, c + a' * b' ≤ a' * b + a * b' :=
Ordinal.lt_nmul_iff
theorem mul_le_iff {a b c : NatOrdinal} :
a * b ≤ c ↔ ∀ a' < a, ∀ b' < b, a' * b + a * b' < c + a' * b' :=
Ordinal.nmul_le_iff
theorem mul_add_lt {a b a' b' : NatOrdinal} (ha : a' < a) (hb : b' < b) :
a' * b + a * b' < a * b + a' * b' :=
Ordinal.nmul_nadd_lt ha hb
theorem nmul_nadd_le {a b a' b' : NatOrdinal} (ha : a' ≤ a) (hb : b' ≤ b) :
a' * b + a * b' ≤ a * b + a' * b' :=
Ordinal.nmul_nadd_le ha hb
instance : CommSemiring NatOrdinal :=
{ NatOrdinal.instAddCommMonoid with
mul := (· * ·)
left_distrib := nmul_nadd
right_distrib := nadd_nmul
zero_mul := zero_nmul
mul_zero := nmul_zero
mul_assoc := nmul_assoc
one := 1
one_mul := one_nmul
mul_one := nmul_one
mul_comm := nmul_comm }
instance : IsOrderedRing NatOrdinal :=
{ mul_le_mul_of_nonneg_left := fun _ _ c h _ => nmul_le_nmul_left h c
mul_le_mul_of_nonneg_right := fun _ _ c h _ => nmul_le_nmul_right h c }
end NatOrdinal
namespace Ordinal
theorem nmul_eq_mul (a b) : a ⨳ b = toOrdinal (toNatOrdinal a * toNatOrdinal b) :=
rfl
theorem nmul_nadd_one : ∀ a b, a ⨳ (b ♯ 1) = a ⨳ b ♯ a :=
@mul_add_one NatOrdinal _ _ _
theorem nadd_one_nmul : ∀ a b, (a ♯ 1) ⨳ b = a ⨳ b ♯ b :=
@add_one_mul NatOrdinal _ _ _
theorem nmul_succ (a b) : a ⨳ succ b = a ⨳ b ♯ a := by rw [← nadd_one, nmul_nadd_one]
theorem succ_nmul (a b) : succ a ⨳ b = a ⨳ b ♯ b := by rw [← nadd_one, nadd_one_nmul]
theorem nmul_add_one : ∀ a b, a ⨳ (b + 1) = a ⨳ b ♯ a :=
nmul_succ
theorem add_one_nmul : ∀ a b, (a + 1) ⨳ b = a ⨳ b ♯ b :=
succ_nmul
theorem mul_le_nmul (a b : Ordinal.{u}) : a * b ≤ a ⨳ b := by
refine b.limitRecOn ?_ ?_ ?_
· simp
· intro c h
rw [mul_succ, nmul_succ]
exact (add_le_nadd _ a).trans (nadd_le_nadd_right h a)
· intro c hc H
rcases eq_zero_or_pos a with (rfl | ha)
· simp
· rw [(isNormal_mul_right ha).apply_of_isLimit hc, Ordinal.iSup_le_iff]
rintro ⟨i, hi⟩
exact (H i hi).trans (nmul_le_nmul_left hi.le a)
end Ordinal
| Mathlib/SetTheory/Ordinal/NaturalOps.lean | 817 | 827 | |
/-
Copyright (c) 2022 Yaël Dillies, Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Bhavik Mehta
-/
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Combinatorics.SimpleGraph.Basic
import Mathlib.Data.Rat.Cast.Order
import Mathlib.Order.Partition.Finpartition
import Mathlib.Tactic.GCongr
import Mathlib.Tactic.NormNum
import Mathlib.Tactic.Positivity
import Mathlib.Tactic.Ring
/-!
# Edge density
This file defines the number and density of edges of a relation/graph.
## Main declarations
Between two finsets of vertices,
* `Rel.interedges`: Finset of edges of a relation.
* `Rel.edgeDensity`: Edge density of a relation.
* `SimpleGraph.interedges`: Finset of edges of a graph.
* `SimpleGraph.edgeDensity`: Edge density of a graph.
-/
open Finset
variable {𝕜 ι κ α β : Type*}
/-! ### Density of a relation -/
namespace Rel
section Asymmetric
variable [Field 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜]
(r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α}
{t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜}
/-- Finset of edges of a relation between two finsets of vertices. -/
def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := {e ∈ s ×ˢ t | r e.1 e.2}
/-- Edge density of a relation between two finsets of vertices. -/
def edgeDensity (s : Finset α) (t : Finset β) : ℚ := #(interedges r s t) / (#s * #t)
variable {r}
theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by
rw [interedges, mem_filter, Finset.mem_product, and_assoc]
theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b :=
mem_interedges_iff
@[simp]
theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by
rw [interedges, Finset.empty_product, filter_empty]
theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ :=
fun x ↦ by
simp_rw [mem_interedges_iff]
exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩
variable (r)
theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) :
#(interedges r s t) + #(interedges (fun x y ↦ ¬r x y) s t) = #s * #t := by
classical
rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq]
exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2
theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) :
Disjoint (interedges r s t) (interedges r s' t) := by
rw [Finset.disjoint_left] at hs ⊢
intro _ hx hy
rw [mem_interedges_iff] at hx hy
exact hs hx.1 hy.1
theorem interedges_disjoint_right (s : Finset α) {t t' : Finset β} (ht : Disjoint t t') :
Disjoint (interedges r s t) (interedges r s t') := by
rw [Finset.disjoint_left] at ht ⊢
intro _ hx hy
rw [mem_interedges_iff] at hx hy
exact ht hx.2.1 hy.2.1
section DecidableEq
variable [DecidableEq α] [DecidableEq β]
lemma interedges_eq_biUnion :
interedges r s t =
s.biUnion fun x ↦ {y ∈ t | r x y}.map ⟨(x, ·), Prod.mk_right_injective x⟩ := by
ext ⟨x, y⟩; simp [mem_interedges_iff]
theorem interedges_biUnion_left (s : Finset ι) (t : Finset β) (f : ι → Finset α) :
interedges r (s.biUnion f) t = s.biUnion fun a ↦ interedges r (f a) t := by
ext
simp only [mem_biUnion, mem_interedges_iff, exists_and_right, ← and_assoc]
theorem interedges_biUnion_right (s : Finset α) (t : Finset ι) (f : ι → Finset β) :
interedges r s (t.biUnion f) = t.biUnion fun b ↦ interedges r s (f b) := by
ext a
simp only [mem_interedges_iff, mem_biUnion]
exact ⟨fun ⟨x₁, ⟨x₂, x₃, x₄⟩, x₅⟩ ↦ ⟨x₂, x₃, x₁, x₄, x₅⟩,
fun ⟨x₂, x₃, x₁, x₄, x₅⟩ ↦ ⟨x₁, ⟨x₂, x₃, x₄⟩, x₅⟩⟩
theorem interedges_biUnion (s : Finset ι) (t : Finset κ) (f : ι → Finset α) (g : κ → Finset β) :
interedges r (s.biUnion f) (t.biUnion g) =
(s ×ˢ t).biUnion fun ab ↦ interedges r (f ab.1) (g ab.2) := by
simp_rw [product_biUnion, interedges_biUnion_left, interedges_biUnion_right]
end DecidableEq
theorem card_interedges_le_mul (s : Finset α) (t : Finset β) :
#(interedges r s t) ≤ #s * #t :=
(card_filter_le _ _).trans (card_product _ _).le
theorem edgeDensity_nonneg (s : Finset α) (t : Finset β) : 0 ≤ edgeDensity r s t := by
apply div_nonneg <;> exact mod_cast Nat.zero_le _
theorem edgeDensity_le_one (s : Finset α) (t : Finset β) : edgeDensity r s t ≤ 1 := by
apply div_le_one_of_le₀
· exact mod_cast card_interedges_le_mul r s t
· exact mod_cast Nat.zero_le _
theorem edgeDensity_add_edgeDensity_compl (hs : s.Nonempty) (ht : t.Nonempty) :
edgeDensity r s t + edgeDensity (fun x y ↦ ¬r x y) s t = 1 := by
rw [edgeDensity, edgeDensity, div_add_div_same, div_eq_one_iff_eq]
· exact mod_cast card_interedges_add_card_interedges_compl r s t
· exact mod_cast (mul_pos hs.card_pos ht.card_pos).ne'
@[simp]
theorem edgeDensity_empty_left (t : Finset β) : edgeDensity r ∅ t = 0 := by
rw [edgeDensity, Finset.card_empty, Nat.cast_zero, zero_mul, div_zero]
@[simp]
theorem edgeDensity_empty_right (s : Finset α) : edgeDensity r s ∅ = 0 := by
rw [edgeDensity, Finset.card_empty, Nat.cast_zero, mul_zero, div_zero]
theorem card_interedges_finpartition_left [DecidableEq α] (P : Finpartition s) (t : Finset β) :
#(interedges r s t) = ∑ a ∈ P.parts, #(interedges r a t) := by
classical
simp_rw [← P.biUnion_parts, interedges_biUnion_left, id]
rw [card_biUnion]
exact fun x hx y hy h ↦ interedges_disjoint_left r (P.disjoint hx hy h) _
theorem card_interedges_finpartition_right [DecidableEq β] (s : Finset α) (P : Finpartition t) :
#(interedges r s t) = ∑ b ∈ P.parts, #(interedges r s b) := by
classical
simp_rw [← P.biUnion_parts, interedges_biUnion_right, id]
rw [card_biUnion]
exact fun x hx y hy h ↦ interedges_disjoint_right r _ (P.disjoint hx hy h)
theorem card_interedges_finpartition [DecidableEq α] [DecidableEq β] (P : Finpartition s)
(Q : Finpartition t) :
#(interedges r s t) = ∑ ab ∈ P.parts ×ˢ Q.parts, #(interedges r ab.1 ab.2) := by
rw [card_interedges_finpartition_left _ P, sum_product]
congr; ext
rw [card_interedges_finpartition_right]
theorem mul_edgeDensity_le_edgeDensity (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) (hs₂ : s₂.Nonempty)
(ht₂ : t₂.Nonempty) :
(#s₂ : ℚ) / #s₁ * (#t₂ / #t₁) * edgeDensity r s₂ t₂ ≤ edgeDensity r s₁ t₁ := by
have hst : (#s₂ : ℚ) * #t₂ ≠ 0 := by simp [hs₂.ne_empty, ht₂.ne_empty]
rw [edgeDensity, edgeDensity, div_mul_div_comm, mul_comm, div_mul_div_cancel₀ hst]
gcongr
exact interedges_mono hs ht
theorem edgeDensity_sub_edgeDensity_le_one_sub_mul (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) (hs₂ : s₂.Nonempty)
(ht₂ : t₂.Nonempty) :
edgeDensity r s₂ t₂ - edgeDensity r s₁ t₁ ≤ 1 - #s₂ / #s₁ * (#t₂ / #t₁) := by
refine (sub_le_sub_left (mul_edgeDensity_le_edgeDensity r hs ht hs₂ ht₂) _).trans ?_
refine le_trans ?_ (mul_le_of_le_one_right ?_ (edgeDensity_le_one r s₂ t₂))
· rw [sub_mul, one_mul]
refine sub_nonneg_of_le (mul_le_one₀ ?_ ?_ ?_)
· exact div_le_one_of_le₀ ((@Nat.cast_le ℚ).2 (card_le_card hs)) (Nat.cast_nonneg _)
· apply div_nonneg <;> exact mod_cast Nat.zero_le _
· exact div_le_one_of_le₀ ((@Nat.cast_le ℚ).2 (card_le_card ht)) (Nat.cast_nonneg _)
theorem abs_edgeDensity_sub_edgeDensity_le_one_sub_mul (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁)
(hs₂ : s₂.Nonempty) (ht₂ : t₂.Nonempty) :
|edgeDensity r s₂ t₂ - edgeDensity r s₁ t₁| ≤ 1 - #s₂ / #s₁ * (#t₂ / #t₁) := by
refine abs_sub_le_iff.2 ⟨edgeDensity_sub_edgeDensity_le_one_sub_mul r hs ht hs₂ ht₂, ?_⟩
rw [← add_sub_cancel_right (edgeDensity r s₁ t₁) (edgeDensity (fun x y ↦ ¬r x y) s₁ t₁),
← add_sub_cancel_right (edgeDensity r s₂ t₂) (edgeDensity (fun x y ↦ ¬r x y) s₂ t₂),
edgeDensity_add_edgeDensity_compl _ (hs₂.mono hs) (ht₂.mono ht),
edgeDensity_add_edgeDensity_compl _ hs₂ ht₂, sub_sub_sub_cancel_left]
exact edgeDensity_sub_edgeDensity_le_one_sub_mul _ hs ht hs₂ ht₂
theorem abs_edgeDensity_sub_edgeDensity_le_two_mul_sub_sq (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁)
(hδ₀ : 0 ≤ δ) (hδ₁ : δ < 1) (hs₂ : (1 - δ) * #s₁ ≤ #s₂)
(ht₂ : (1 - δ) * #t₁ ≤ #t₂) :
| |(edgeDensity r s₂ t₂ : 𝕜) - edgeDensity r s₁ t₁| ≤ 2 * δ - δ ^ 2 := by
have hδ' : 0 ≤ 2 * δ - δ ^ 2 := by
rw [sub_nonneg, sq]
gcongr
exact hδ₁.le.trans (by norm_num)
rw [← sub_pos] at hδ₁
obtain rfl | hs₂' := s₂.eq_empty_or_nonempty
· rw [Finset.card_empty, Nat.cast_zero] at hs₂
simpa [edgeDensity, (nonpos_of_mul_nonpos_right hs₂ hδ₁).antisymm (Nat.cast_nonneg _)] using hδ'
obtain rfl | ht₂' := t₂.eq_empty_or_nonempty
| Mathlib/Combinatorics/SimpleGraph/Density.lean | 196 | 205 |
/-
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.BoxIntegral.Partition.Additive
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
/-!
# Box-additive functions defined by measures
In this file we prove a few simple facts about rectangular boxes, partitions, and measures:
- given a box `I : Box ι`, its coercion to `Set (ι → ℝ)` and `I.Icc` are measurable sets;
- if `μ` is a locally finite measure, then `(I : Set (ι → ℝ))` and `I.Icc` have finite measure;
- if `μ` is a locally finite measure, then `fun J ↦ μ.real J` is a box additive function.
For the last statement, we both prove it as a proposition and define a bundled
`BoxIntegral.BoxAdditiveMap` function.
## Tags
rectangular box, measure
-/
open Set
noncomputable section
open scoped ENNReal BoxIntegral
variable {ι : Type*}
namespace BoxIntegral
open MeasureTheory
namespace Box
variable (I : Box ι)
theorem measure_Icc_lt_top (μ : Measure (ι → ℝ)) [IsLocallyFiniteMeasure μ] : μ (Box.Icc I) < ∞ :=
show μ (Icc I.lower I.upper) < ∞ from I.isCompact_Icc.measure_lt_top
theorem measure_coe_lt_top (μ : Measure (ι → ℝ)) [IsLocallyFiniteMeasure μ] : μ I < ∞ :=
(measure_mono <| coe_subset_Icc).trans_lt (I.measure_Icc_lt_top μ)
section Countable
variable [Countable ι]
theorem measurableSet_coe : MeasurableSet (I : Set (ι → ℝ)) := by
rw [coe_eq_pi]
exact MeasurableSet.univ_pi fun i => measurableSet_Ioc
theorem measurableSet_Icc : MeasurableSet (Box.Icc I) :=
_root_.measurableSet_Icc
theorem measurableSet_Ioo : MeasurableSet (Box.Ioo I) :=
MeasurableSet.univ_pi fun _ => _root_.measurableSet_Ioo
end Countable
variable [Fintype ι]
theorem coe_ae_eq_Icc : (I : Set (ι → ℝ)) =ᵐ[volume] Box.Icc I := by
rw [coe_eq_pi]
exact Measure.univ_pi_Ioc_ae_eq_Icc
theorem Ioo_ae_eq_Icc : Box.Ioo I =ᵐ[volume] Box.Icc I :=
Measure.univ_pi_Ioo_ae_eq_Icc
end Box
theorem Prepartition.measure_iUnion_toReal [Finite ι] {I : Box ι} (π : Prepartition I)
(μ : Measure (ι → ℝ)) [IsLocallyFiniteMeasure μ] :
μ.real π.iUnion = ∑ J ∈ π.boxes, μ.real J := by
simp only [measureReal_def]
rw [← ENNReal.toReal_sum (fun J _ => (J.measure_coe_lt_top μ).ne), π.iUnion_def]
simp only [← mem_boxes]
rw [measure_biUnion_finset π.pairwiseDisjoint]
exact fun J _ => J.measurableSet_coe
end BoxIntegral
|
open BoxIntegral BoxIntegral.Box
namespace MeasureTheory
| Mathlib/Analysis/BoxIntegral/Partition/Measure.lean | 85 | 89 |
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Order.ConditionallyCompleteLattice.Group
import Mathlib.Topology.MetricSpace.Isometry
/-!
# Metric space gluing
Gluing two metric spaces along a common subset. Formally, we are given
```
Φ
Z ---> X
|
|Ψ
v
Y
```
where `hΦ : Isometry Φ` and `hΨ : Isometry Ψ`.
We want to complete the square by a space `GlueSpacescan hΦ hΨ` and two isometries
`toGlueL hΦ hΨ` and `toGlueR hΦ hΨ` that make the square commute.
We start by defining a predistance on the disjoint union `X ⊕ Y`, for which
points `Φ p` and `Ψ p` are at distance 0. The (quotient) metric space associated
to this predistance is the desired space.
This is an instance of a more general construction, where `Φ` and `Ψ` do not have to be isometries,
but the distances in the image almost coincide, up to `2ε` say. Then one can almost glue the two
spaces so that the images of a point under `Φ` and `Ψ` are `ε`-close. If `ε > 0`, this yields a
metric space structure on `X ⊕ Y`, without the need to take a quotient. In particular,
this gives a natural metric space structure on `X ⊕ Y`, where the basepoints
are at distance 1, say, and the distances between other points are obtained by going through the two
basepoints.
(We also register the same metric space structure on a general disjoint union `Σ i, E i`).
We also define the inductive limit of metric spaces. Given
```
f 0 f 1 f 2 f 3
X 0 -----> X 1 -----> X 2 -----> X 3 -----> ...
```
where the `X n` are metric spaces and `f n` isometric embeddings, we define the inductive
limit of the `X n`, also known as the increasing union of the `X n` in this context, if we
identify `X n` and `X (n+1)` through `f n`. This is a metric space in which all `X n` embed
isometrically and in a way compatible with `f n`.
-/
noncomputable section
universe u v w
open Function Set Uniformity Topology
namespace Metric
section ApproxGluing
variable {X : Type u} {Y : Type v} {Z : Type w}
variable [MetricSpace X] [MetricSpace Y] {Φ : Z → X} {Ψ : Z → Y} {ε : ℝ}
/-- Define a predistance on `X ⊕ Y`, for which `Φ p` and `Ψ p` are at distance `ε` -/
def glueDist (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) : X ⊕ Y → X ⊕ Y → ℝ
| .inl x, .inl y => dist x y
| .inr x, .inr y => dist x y
| .inl x, .inr y => (⨅ p, dist x (Φ p) + dist y (Ψ p)) + ε
| .inr x, .inl y => (⨅ p, dist y (Φ p) + dist x (Ψ p)) + ε
private theorem glueDist_self (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) : ∀ x, glueDist Φ Ψ ε x x = 0
| .inl _ => dist_self _
| .inr _ => dist_self _
theorem glueDist_glued_points [Nonempty Z] (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) (p : Z) :
glueDist Φ Ψ ε (.inl (Φ p)) (.inr (Ψ p)) = ε := by
have : ⨅ q, dist (Φ p) (Φ q) + dist (Ψ p) (Ψ q) = 0 := by
have A : ∀ q, 0 ≤ dist (Φ p) (Φ q) + dist (Ψ p) (Ψ q) := fun _ =>
add_nonneg dist_nonneg dist_nonneg
refine le_antisymm ?_ (le_ciInf A)
have : 0 = dist (Φ p) (Φ p) + dist (Ψ p) (Ψ p) := by simp
rw [this]
exact ciInf_le ⟨0, forall_mem_range.2 A⟩ p
simp only [glueDist, this, zero_add]
private theorem glueDist_comm (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) :
∀ x y, glueDist Φ Ψ ε x y = glueDist Φ Ψ ε y x
| .inl _, .inl _ => dist_comm _ _
| .inr _, .inr _ => dist_comm _ _
| .inl _, .inr _ => rfl
| .inr _, .inl _ => rfl
theorem glueDist_swap (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) :
∀ x y, glueDist Ψ Φ ε x.swap y.swap = glueDist Φ Ψ ε x y
| .inl _, .inl _ => rfl
| .inr _, .inr _ => rfl
| .inl _, .inr _ => by simp only [glueDist, Sum.swap_inl, Sum.swap_inr, dist_comm, add_comm]
| .inr _, .inl _ => by simp only [glueDist, Sum.swap_inl, Sum.swap_inr, dist_comm, add_comm]
theorem le_glueDist_inl_inr (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) (x y) :
ε ≤ glueDist Φ Ψ ε (.inl x) (.inr y) :=
le_add_of_nonneg_left <| Real.iInf_nonneg fun _ => add_nonneg dist_nonneg dist_nonneg
theorem le_glueDist_inr_inl (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) (x y) :
ε ≤ glueDist Φ Ψ ε (.inr x) (.inl y) := by
rw [glueDist_comm]; apply le_glueDist_inl_inr
section
variable [Nonempty Z]
private theorem glueDist_triangle_inl_inr_inr (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) (x : X) (y z : Y) :
glueDist Φ Ψ ε (.inl x) (.inr z) ≤
glueDist Φ Ψ ε (.inl x) (.inr y) + glueDist Φ Ψ ε (.inr y) (.inr z) := by
simp only [glueDist]
rw [add_right_comm, add_le_add_iff_right]
refine le_ciInf_add fun p => ciInf_le_of_le ⟨0, ?_⟩ p ?_
· exact forall_mem_range.2 fun _ => add_nonneg dist_nonneg dist_nonneg
· linarith [dist_triangle_left z (Ψ p) y]
private theorem glueDist_triangle_inl_inr_inl (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ)
(H : ∀ p q, |dist (Φ p) (Φ q) - dist (Ψ p) (Ψ q)| ≤ 2 * ε) (x : X) (y : Y) (z : X) :
glueDist Φ Ψ ε (.inl x) (.inl z) ≤
glueDist Φ Ψ ε (.inl x) (.inr y) + glueDist Φ Ψ ε (.inr y) (.inl z) := by
simp_rw [glueDist, add_add_add_comm _ ε, add_assoc]
refine le_ciInf_add fun p => ?_
rw [add_left_comm, add_assoc, ← two_mul]
refine le_ciInf_add fun q => ?_
rw [dist_comm z]
linarith [dist_triangle4 x (Φ p) (Φ q) z, dist_triangle_left (Ψ p) (Ψ q) y, (abs_le.1 (H p q)).2]
private theorem glueDist_triangle (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ)
(H : ∀ p q, |dist (Φ p) (Φ q) - dist (Ψ p) (Ψ q)| ≤ 2 * ε) :
∀ x y z, glueDist Φ Ψ ε x z ≤ glueDist Φ Ψ ε x y + glueDist Φ Ψ ε y z
| .inl _, .inl _, .inl _ => dist_triangle _ _ _
| .inr _, .inr _, .inr _ => dist_triangle _ _ _
| .inr x, .inl y, .inl z => by
simp only [← glueDist_swap Φ]
apply glueDist_triangle_inl_inr_inr
| .inr x, .inr y, .inl z => by
simpa only [glueDist_comm, add_comm] using glueDist_triangle_inl_inr_inr _ _ _ z y x
| .inl x, .inl y, .inr z => by
simpa only [← glueDist_swap Φ, glueDist_comm, add_comm, Sum.swap_inl, Sum.swap_inr]
using glueDist_triangle_inl_inr_inr Ψ Φ ε z y x
| .inl _, .inr _, .inr _ => glueDist_triangle_inl_inr_inr ..
| .inl x, .inr y, .inl z => glueDist_triangle_inl_inr_inl Φ Ψ ε H x y z
| .inr x, .inl y, .inr z => by
simp only [← glueDist_swap Φ]
apply glueDist_triangle_inl_inr_inl
simpa only [abs_sub_comm]
end
| private theorem eq_of_glueDist_eq_zero (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) (ε0 : 0 < ε) :
∀ p q : X ⊕ Y, glueDist Φ Ψ ε p q = 0 → p = q
| .inl x, .inl y, h => by rw [eq_of_dist_eq_zero h]
| .inl x, .inr y, h => by exfalso; linarith [le_glueDist_inl_inr Φ Ψ ε x y]
| .inr x, .inl y, h => by exfalso; linarith [le_glueDist_inr_inl Φ Ψ ε x y]
| .inr x, .inr y, h => by rw [eq_of_dist_eq_zero h]
| Mathlib/Topology/MetricSpace/Gluing.lean | 152 | 157 |
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Johannes Hölzl, Sander Dahmen,
Kim Morrison, Chris Hughes, Anne Baanen, Junyan Xu
-/
import Mathlib.LinearAlgebra.Basis.VectorSpace
import Mathlib.LinearAlgebra.Dimension.Finite
import Mathlib.LinearAlgebra.Dimension.RankNullity
/-!
# Dimension of vector spaces
In this file we provide results about `Module.rank` and `Module.finrank` of vector spaces
over division rings.
## Main statements
For vector spaces (i.e. modules over a field), we have
* `rank_quotient_add_rank_of_divisionRing`: if `V₁` is a submodule of `V`, then
`Module.rank (V/V₁) + Module.rank V₁ = Module.rank V`.
* `rank_range_add_rank_ker`: the rank-nullity theorem.
See also `Mathlib.LinearAlgebra.Dimension.ErdosKaplansky` for the Erdős-Kaplansky theorem.
-/
noncomputable section
universe u₀ u v v' v'' u₁' w w'
variable {K R : Type u} {V V₁ V₂ V₃ : Type v} {V' V'₁ : Type v'} {V'' : Type v''}
variable {ι : Type w} {ι' : Type w'} {η : Type u₁'} {φ : η → Type*}
open Cardinal Basis Submodule Function Set
section Module
section DivisionRing
variable [DivisionRing K]
variable [AddCommGroup V] [Module K V]
variable [AddCommGroup V'] [Module K V']
variable [AddCommGroup V₁] [Module K V₁]
/-- If a vector space has a finite dimension, the index set of `Basis.ofVectorSpace` is finite. -/
theorem Basis.finite_ofVectorSpaceIndex_of_rank_lt_aleph0 (h : Module.rank K V < ℵ₀) :
(Basis.ofVectorSpaceIndex K V).Finite :=
finite_def.2 <| (Basis.ofVectorSpace K V).nonempty_fintype_index_of_rank_lt_aleph0 h
/-- Also see `rank_quotient_add_rank`. -/
theorem rank_quotient_add_rank_of_divisionRing (p : Submodule K V) :
Module.rank K (V ⧸ p) + Module.rank K p = Module.rank K V := by
classical
let ⟨f⟩ := quotient_prod_linearEquiv p
exact rank_prod'.symm.trans f.rank_eq
instance DivisionRing.hasRankNullity : HasRankNullity.{u₀} K where
rank_quotient_add_rank := rank_quotient_add_rank_of_divisionRing
exists_set_linearIndependent V _ _ := by
let b := Module.Free.chooseBasis K V
refine ⟨range b, ?_, b.linearIndependent.linearIndepOn_id⟩
rw [← lift_injective.eq_iff, mk_range_eq_of_injective b.injective,
Module.Free.rank_eq_card_chooseBasisIndex]
section
variable [AddCommGroup V₂] [Module K V₂]
variable [AddCommGroup V₃] [Module K V₃]
open LinearMap
/-- This is mostly an auxiliary lemma for `Submodule.rank_sup_add_rank_inf_eq`. -/
theorem rank_add_rank_split (db : V₂ →ₗ[K] V) (eb : V₃ →ₗ[K] V) (cd : V₁ →ₗ[K] V₂)
(ce : V₁ →ₗ[K] V₃) (hde : ⊤ ≤ LinearMap.range db ⊔ LinearMap.range eb) (hgd : ker cd = ⊥)
(eq : db.comp cd = eb.comp ce) (eq₂ : ∀ d e, db d = eb e → ∃ c, cd c = d ∧ ce c = e) :
Module.rank K V + Module.rank K V₁ = Module.rank K V₂ + Module.rank K V₃ := by
have hf : Surjective (coprod db eb) := by
| rwa [← range_eq_top, range_coprod, eq_top_iff]
conv =>
rhs
rw [← rank_prod', rank_eq_of_surjective hf]
congr 1
apply LinearEquiv.rank_eq
let L : V₁ →ₗ[K] ker (coprod db eb) :=
LinearMap.codRestrict _ (prod cd (-ce)) <| by
simpa [add_eq_zero_iff_eq_neg] using LinearMap.ext_iff.1 eq
refine LinearEquiv.ofBijective L ⟨?_, ?_⟩
· rw [← ker_eq_bot, ker_codRestrict, ker_prod, hgd, bot_inf_eq]
· rw [← range_eq_top, eq_top_iff, range_codRestrict, ← map_le_iff_le_comap,
Submodule.map_top, range_subtype]
rintro ⟨d, e⟩
have h := eq₂ d (-e)
simp only [add_eq_zero_iff_eq_neg, LinearMap.prod_apply, mem_ker, SetLike.mem_coe,
Prod.mk_inj, coprod_apply, map_neg, neg_apply, LinearMap.mem_range, Pi.prod] at h ⊢
intro hde
rcases h hde with ⟨c, h₁, h₂⟩
refine ⟨c, h₁, ?_⟩
rw [h₂, _root_.neg_neg]
end
end DivisionRing
end Module
| Mathlib/LinearAlgebra/Dimension/DivisionRing.lean | 81 | 108 |
/-
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.Finset.Max
import Mathlib.Data.Fintype.EquivFin
import Mathlib.Data.Multiset.Sort
import Mathlib.Order.RelIso.Set
/-!
# Construct a sorted list from a finset.
-/
namespace Finset
open Multiset Nat
variable {α β : Type*}
/-! ### sort -/
section sort
variable (r : α → α → Prop) [DecidableRel r] [IsTrans α r] [IsAntisymm α r] [IsTotal α r]
/-- `sort s` constructs a sorted list from the unordered set `s`.
(Uses merge sort algorithm.) -/
def sort (s : Finset α) : List α :=
Multiset.sort r s.1
@[simp]
theorem sort_val (s : Finset α) : Multiset.sort r s.val = sort r s :=
rfl
@[simp]
theorem sort_mk {s : Multiset α} (h : s.Nodup) : sort r ⟨s, h⟩ = s.sort r := rfl
@[simp]
theorem sort_sorted (s : Finset α) : List.Sorted r (sort r s) :=
Multiset.sort_sorted _ _
@[simp]
theorem sort_eq (s : Finset α) : ↑(sort r s) = s.1 :=
Multiset.sort_eq _ _
@[simp]
theorem sort_nodup (s : Finset α) : (sort r s).Nodup :=
(by rw [sort_eq]; exact s.2 : @Multiset.Nodup α (sort r s))
@[simp]
theorem sort_toFinset [DecidableEq α] (s : Finset α) : (sort r s).toFinset = s :=
List.toFinset_eq (sort_nodup r s) ▸ eq_of_veq (sort_eq r s)
@[simp]
theorem mem_sort {s : Finset α} {a : α} : a ∈ sort r s ↔ a ∈ s :=
Multiset.mem_sort _
@[simp]
theorem length_sort {s : Finset α} : (sort r s).length = s.card :=
Multiset.length_sort _
@[simp]
theorem sort_empty : sort r ∅ = [] :=
Multiset.sort_zero r
@[simp]
theorem sort_singleton (a : α) : sort r {a} = [a] :=
Multiset.sort_singleton r a
theorem sort_cons {a : α} {s : Finset α} (h₁ : ∀ b ∈ s, r a b) (h₂ : a ∉ s) :
sort r (cons a s h₂) = a :: sort r s := by
rw [sort, cons_val, Multiset.sort_cons r a _ h₁, sort_val]
theorem sort_insert [DecidableEq α] {a : α} {s : Finset α} (h₁ : ∀ b ∈ s, r a b) (h₂ : a ∉ s) :
sort r (insert a s) = a :: sort r s := by
rw [← cons_eq_insert _ _ h₂, sort_cons r h₁]
@[simp]
theorem sort_range (n : ℕ) : sort (· ≤ ·) (range n) = List.range n :=
Multiset.sort_range n
open scoped List in
theorem sort_perm_toList (s : Finset α) : sort r s ~ s.toList := by
rw [← Multiset.coe_eq_coe]
simp only [coe_toList, sort_eq]
theorem _root_.List.toFinset_sort [DecidableEq α] {l : List α} (hl : l.Nodup) :
sort r l.toFinset = l ↔ l.Sorted r := by
refine ⟨?_, List.eq_of_perm_of_sorted ((sort_perm_toList r _).trans (List.toFinset_toList hl))
(sort_sorted r _)⟩
intro h
rw [← h]
exact sort_sorted r _
| end sort
section SortLinearOrder
variable [LinearOrder α]
theorem sort_sorted_lt (s : Finset α) : List.Sorted (· < ·) (sort (· ≤ ·) s) :=
(sort_sorted _ _).lt_of_le (sort_nodup _ _)
theorem sort_sorted_gt (s : Finset α) : List.Sorted (· > ·) (sort (· ≥ ·) s) :=
| Mathlib/Data/Finset/Sort.lean | 97 | 106 |
/-
Copyright (c) 2020 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen, Peter Nelson
-/
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Algebra.GeomSum
import Mathlib.LinearAlgebra.Matrix.Block
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
import Mathlib.LinearAlgebra.Matrix.Nondegenerate
import Mathlib.RingTheory.Localization.FractionRing
/-!
# Vandermonde matrix
This file defines the `vandermonde` matrix and gives its determinant.
For each `CommRing R`, and function `v : Fin n → R` the matrix `vandermonde v`
is defined to be `Fin n` by `Fin n` matrix `V` whose `i`th row is `[1, (v i), (v i)^2, ...]`.
This matrix has determinant equal to the product of `v i - v j` over all unordered pairs `i,j`,
and therefore is nonsingular if and only if `v` is injective.
`vandermonde v` is a special case of two more general matrices we also define.
For a type `α` and functions `v w : α → R`, we write `rectVandermonde v w n` for
the `α × Fin n` matrix with `i`th row `[(w i) ^ (n-1), (v i) * (w i)^(n-2), ..., (v i)^(n-1)]`.
`projVandermonde v w = rectVandermonde v w n` is the square matrix case, where `α = Fin n`.
The determinant of `projVandermonde v w` is the product of `v j * w i - v i * w j`,
taken over all pairs `i,j` with `i < j`, which gives a similar characterization of
when it it nonsingular. Since `vandermonde v w = projVandermonde v 1`,
we can derive most of the API for the former in terms of the latter.
These extensions of Vandermonde matrices arise in the study of complete arcs in finite geometry,
coding theory, and representations of uniform matroids over finite fields.
## Main definitions
* `vandermonde v`: a square matrix with the `i, j`th entry equal to `v i ^ j`.
* `rectVandermonde v w n`: an `α × Fin n` matrix whose
`i, j`-th entry is `(v i) ^ j * (w i) ^ (n-1-j)`.
* `projVandermonde v w`: a square matrix whose `i, j`-th entry is `(v i) ^ j * (w i) ^ (n-1-j)`.
## Main results
* `det_vandermonde`: `det (vandermonde v)` is the product of `v j - v i`, where
`(i, j)` ranges over the set of pairs with `i < j`.
* `det_projVandermonde`: `det (projVandermonde v w)` is the product of `v j * w i - v i * w j`,
taken over all pairs with `i < j`.
## Implementation notes
We derive the `det_vandermonde` formula from `det_projVandermonde`,
which is proved using an induction argument involving row operations and division.
To circumvent issues with non-invertible elements while still maintaining the generality of rings,
we first prove it for fields using the private lemma `det_projVandermonde_of_field`,
and then use an algebraic workaround to generalize to the ring case,
stating the strictly more general form as `det_projVandermonde`.
## TODO
Characterize when `rectVandermonde v w n` has linearly independent rows.
-/
variable {R K : Type*} [CommRing R] [Field K] {n : ℕ}
open Equiv Finset
open Matrix Fin
namespace Matrix
/-- A matrix with rows all having the form `[b^(n-1), a * b^(n-2), ..., a ^ (n-1)]` -/
def rectVandermonde {α : Type*} (v w : α → R) (n : ℕ) : Matrix α (Fin n) R :=
.of fun i j ↦ (v i) ^ j.1 * (w i) ^ j.rev.1
/-- A square matrix with rows all having the form `[b^(n-1), a * b^(n-2), ..., a ^ (n-1)]` -/
def projVandermonde (v w : Fin n → R) : Matrix (Fin n) (Fin n) R :=
rectVandermonde v w n
/-- `vandermonde v` is the square matrix with `i`th row equal to `1, v i, v i ^ 2, v i ^ 3, ...`. -/
def vandermonde (v : Fin n → R) : Matrix (Fin n) (Fin n) R := .of fun i j ↦ (v i) ^ j.1
lemma vandermonde_eq_projVandermonde (v : Fin n → R) : vandermonde v = projVandermonde v 1 := by
simp [projVandermonde, rectVandermonde, vandermonde]
/-- We don't mark this as `@[simp]` because the RHS is not simp-nf,
and simplifying the RHS gives a bothersome `Nat` subtraction. -/
theorem projVandermonde_apply {v w : Fin n → R} {i j : Fin n} :
projVandermonde v w i j = (v i) ^ j.1 * (w i) ^ j.rev.1 := rfl
theorem rectVandermonde_apply {α : Type*} {v w : α → R} {i : α} {j : Fin n} :
rectVandermonde v w n i j = (v i) ^ j.1 * (w i) ^ j.rev.1 := rfl
@[simp]
theorem vandermonde_apply (v : Fin n → R) (i j) : vandermonde v i j = v i ^ (j : ℕ) := rfl
@[simp]
theorem vandermonde_cons (v0 : R) (v : Fin n → R) :
vandermonde (Fin.cons v0 v : Fin n.succ → R) =
Fin.cons (fun (j : Fin n.succ) => v0 ^ (j : ℕ)) fun i => Fin.cons 1
fun j => v i * vandermonde v i j := by
ext i j
refine Fin.cases (by simp) (fun i => ?_) i
refine Fin.cases (by simp) (fun j => ?_) j
simp [pow_succ']
theorem vandermonde_succ (v : Fin n.succ → R) :
vandermonde v = .of
Fin.cons (fun (j : Fin n.succ) => v 0 ^ (j : ℕ)) fun i =>
Fin.cons 1 fun j => v i.succ * vandermonde (Fin.tail v) i j := by
conv_lhs => rw [← Fin.cons_self_tail v, vandermonde_cons]
rfl
theorem vandermonde_mul_vandermonde_transpose (v w : Fin n → R) (i j) :
(vandermonde v * (vandermonde w)ᵀ) i j = ∑ k : Fin n, (v i * w j) ^ (k : ℕ) := by
simp only [vandermonde_apply, Matrix.mul_apply, Matrix.transpose_apply, mul_pow]
theorem vandermonde_transpose_mul_vandermonde (v : Fin n → R) (i j) :
((vandermonde v)ᵀ * vandermonde v) i j = ∑ k : Fin n, v k ^ (i + j : ℕ) := by
simp only [vandermonde_apply, Matrix.mul_apply, Matrix.transpose_apply, pow_add]
theorem rectVandermonde_apply_zero_right {α : Type*} {v w : α → R} {i : α} (hw : w i = 0) :
rectVandermonde v w (n + 1) i = Pi.single (Fin.last n) ((v i) ^ n) := by
ext j
obtain rfl | hlt := j.le_last.eq_or_lt
· simp [rectVandermonde_apply]
rw [rectVandermonde_apply, Pi.single_eq_of_ne hlt.ne, hw, zero_pow, mul_zero]
simpa [Nat.sub_eq_zero_iff_le] using hlt
theorem projVandermonde_apply_of_ne_zero
{v w : Fin (n + 1) → K} {i j : Fin (n + 1)} (hw : w i ≠ 0) :
projVandermonde v w i j = (v i) ^ j.1 * (w i) ^ n / (w i) ^ j.1 := by
rw [projVandermonde_apply, eq_div_iff (by simp [hw]), mul_assoc, ← pow_add, rev_add_cast]
theorem projVandermonde_apply_zero_right {v w : Fin (n + 1) → R} {i : Fin (n + 1)} (hw : w i = 0) :
projVandermonde v w i = Pi.single (Fin.last n) ((v i) ^ n) := by
ext j
obtain rfl | hlt := j.le_last.eq_or_lt
· simp [projVandermonde_apply]
rw [projVandermonde_apply, Pi.single_eq_of_ne hlt.ne, hw, zero_pow, mul_zero]
simpa [Nat.sub_eq_zero_iff_le] using hlt
theorem projVandermonde_comp {v w : Fin n → R} (f : Fin n → Fin n) :
projVandermonde (v ∘ f) (w ∘ f) = (projVandermonde v w).submatrix f id := rfl
theorem projVandermonde_map {R' : Type*} [CommRing R'] (φ : R →+* R') (v w : Fin n → R) :
projVandermonde (fun i ↦ φ (v i)) (fun i ↦ φ (w i)) = φ.mapMatrix (projVandermonde v w) := by
ext i j
simp [projVandermonde_apply]
private theorem det_projVandermonde_of_field (v w : Fin n → K) :
(projVandermonde v w).det = ∏ i : Fin n, ∏ j ∈ Finset.Ioi i, (v j * w i - v i * w j) := by
induction n with
| zero => simp
| succ n ih =>
/- We can assume not all `w i` are zero, and therefore that `w 0 ≠ 0`,
since otherwise we can swap row `0` with another nonzero row. -/
wlog h0 : w 0 ≠ 0 generalizing v w with aux
· obtain h0' | ⟨i₀, hi₀ : w i₀ ≠ 0⟩ := forall_or_exists_not (w · = 0)
· obtain rfl | hne := eq_or_ne n 0
· simp [projVandermonde_apply]
rw [det_eq_zero_of_column_eq_zero 0 (fun i ↦ by simpa [projVandermonde_apply, h0']),
Finset.prod_sigma', Finset.prod_eq_zero (i := ⟨0, Fin.last n⟩) (by simpa) (by simp [h0'])]
rw [← mul_right_inj' (a := ((Equiv.swap 0 i₀).sign : K))
(by simp [show 0 ≠ i₀ by rintro rfl; contradiction]), ← det_permute, ← projVandermonde_comp,
aux _ _ (by simpa), ← (Equiv.swap 0 i₀).prod_Ioi_comp_eq_sign_mul_prod (by simp)]
rfl
/- Let `W` be obtained from the matrix by subtracting `r = (v 0) / (w 0)` times each column
from the next column, starting from the penultimate column. This doesn't change the determinant.-/
set r := v 0 / w 0 with hr
set W : Matrix (Fin (n + 1)) (Fin (n + 1)) K := .of fun i ↦ (cons (projVandermonde v w i 0)
(fun j ↦ projVandermonde v w i j.succ - r * projVandermonde v w i j.castSucc))
-- deleting the first row and column of `W` gives a row-scaling of a Vandermonde matrix.
have hW_eq : (W.submatrix succ succ) = .of fun i j ↦ (v (succ i) - r * w (succ i)) *
projVandermonde (v ∘ succ) (w ∘ succ) i j := by
ext i j
simp only [projVandermonde_apply, val_zero, rev_zero, val_last, val_succ,
| coe_castSucc, submatrix_apply, cons_succ, Function.comp_apply, rev_succ,
Pi.smul_apply, smul_eq_mul, W, r, rev_castSucc]
field_simp
ring
/- The first row of `W` is `[(w 0)^n, 0, ..., 0]` - take a cofactor expansion along this row,
and apply induction. -/
| Mathlib/LinearAlgebra/Vandermonde.lean | 176 | 181 |
/-
Copyright (c) 2023 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne, Peter Pfaffelhuber
-/
import Mathlib.Data.Nat.Lattice
import Mathlib.Data.Set.Accumulate
import Mathlib.Data.Set.Pairwise.Lattice
import Mathlib.MeasureTheory.PiSystem
/-! # Semirings and rings of sets
A semi-ring of sets `C` (in the sense of measure theory) is a family of sets containing `∅`,
stable by intersection and such that for all `s, t ∈ C`, `t \ s` is equal to a disjoint union of
finitely many sets in `C`. Note that a semi-ring of sets may not contain unions.
An important example of a semi-ring of sets is intervals in `ℝ`. The intersection of two intervals
is an interval (possibly empty). The union of two intervals may not be an interval.
The set difference of two intervals may not be an interval, but it will be a disjoint union of
two intervals.
A ring of sets is a set of sets containing `∅`, stable by union, set difference and intersection.
## Main definitions
* `MeasureTheory.IsSetSemiring C`: property of being a semi-ring of sets.
* `MeasureTheory.IsSetSemiring.disjointOfDiff hs ht`: for `s, t` in a semi-ring `C`
(with `hC : IsSetSemiring C`) with `hs : s ∈ C`, `ht : t ∈ C`, this is a `Finset` of
pairwise disjoint sets such that `s \ t = ⋃₀ hC.disjointOfDiff hs ht`.
* `MeasureTheory.IsSetSemiring.disjointOfDiffUnion hs hI`: for `hs : s ∈ C` and a finset
`I` of sets in `C` (with `hI : ↑I ⊆ C`), this is a `Finset` of pairwise disjoint sets such that
`s \ ⋃₀ I = ⋃₀ hC.disjointOfDiffUnion hs hI`.
* `MeasureTheory.IsSetSemiring.disjointOfUnion hJ`: for `hJ ⊆ C`, this is a
`Finset` of pairwise disjoint sets such that `⋃₀ J = ⋃₀ hC.disjointOfUnion hJ`.
* `MeasureTheory.IsSetRing`: property of being a ring of sets.
## Main statements
* `MeasureTheory.IsSetSemiring.exists_disjoint_finset_diff_eq`: the existence of the `Finset` given
by the definition `IsSetSemiring.disjointOfDiffUnion` (see above).
* `MeasureTheory.IsSetSemiring.disjointOfUnion_props`: In a `hC : IsSetSemiring C`,
for a `J : Finset (Set α)` with `J ⊆ C`, there is
for every `x in J` some `K x ⊆ C` finite, such that
* `⋃ x ∈ J, K x` are pairwise disjoint and do not contain ∅,
* `⋃ s ∈ K x, s ⊆ x`,
* `⋃ x ∈ J, x = ⋃ x ∈ J, ⋃ s ∈ K x, s`.
-/
open Finset Set
namespace MeasureTheory
variable {α : Type*} {C : Set (Set α)} {s t : Set α}
/-- A semi-ring of sets `C` is a family of sets containing `∅`, stable by intersection and such that
for all `s, t ∈ C`, `s \ t` is equal to a disjoint union of finitely many sets in `C`. -/
structure IsSetSemiring (C : Set (Set α)) : Prop where
empty_mem : ∅ ∈ C
inter_mem : ∀ s ∈ C, ∀ t ∈ C, s ∩ t ∈ C
diff_eq_sUnion' : ∀ s ∈ C, ∀ t ∈ C,
∃ I : Finset (Set α), ↑I ⊆ C ∧ PairwiseDisjoint (I : Set (Set α)) id ∧ s \ t = ⋃₀ I
namespace IsSetSemiring
lemma isPiSystem (hC : IsSetSemiring C) : IsPiSystem C := fun s hs t ht _ ↦ hC.inter_mem s hs t ht
section disjointOfDiff
open scoped Classical in
/-- In a semi-ring of sets `C`, for all sets `s, t ∈ C`, `s \ t` is equal to a disjoint union of
finitely many sets in `C`. The finite set of sets in the union is not unique, but this definition
gives an arbitrary `Finset (Set α)` that satisfies the equality.
We remove the empty set to ensure that `t ∉ hC.disjointOfDiff hs ht` even if `t = ∅`. -/
noncomputable def disjointOfDiff (hC : IsSetSemiring C) (hs : s ∈ C) (ht : t ∈ C) :
Finset (Set α) :=
(hC.diff_eq_sUnion' s hs t ht).choose \ {∅}
lemma empty_nmem_disjointOfDiff (hC : IsSetSemiring C) (hs : s ∈ C) (ht : t ∈ C) :
∅ ∉ hC.disjointOfDiff hs ht := by
classical
simp only [disjointOfDiff, mem_sdiff, Finset.mem_singleton, eq_self_iff_true,
not_true, and_false, not_false_iff]
lemma subset_disjointOfDiff (hC : IsSetSemiring C) (hs : s ∈ C) (ht : t ∈ C) :
↑(hC.disjointOfDiff hs ht) ⊆ C := by
classical
simp only [disjointOfDiff, coe_sdiff, coe_singleton, diff_singleton_subset_iff]
exact (hC.diff_eq_sUnion' s hs t ht).choose_spec.1.trans (Set.subset_insert _ _)
lemma pairwiseDisjoint_disjointOfDiff (hC : IsSetSemiring C) (hs : s ∈ C) (ht : t ∈ C) :
PairwiseDisjoint (hC.disjointOfDiff hs ht : Set (Set α)) id := by
classical
simp only [disjointOfDiff, coe_sdiff, coe_singleton]
exact Set.PairwiseDisjoint.subset (hC.diff_eq_sUnion' s hs t ht).choose_spec.2.1
diff_subset
lemma sUnion_disjointOfDiff (hC : IsSetSemiring C) (hs : s ∈ C) (ht : t ∈ C) :
⋃₀ hC.disjointOfDiff hs ht = s \ t := by
classical
rw [(hC.diff_eq_sUnion' s hs t ht).choose_spec.2.2]
simp only [disjointOfDiff, coe_sdiff, coe_singleton, diff_singleton_subset_iff]
rw [sUnion_diff_singleton_empty]
lemma nmem_disjointOfDiff (hC : IsSetSemiring C) (hs : s ∈ C) (ht : t ∈ C) :
t ∉ hC.disjointOfDiff hs ht := by
intro hs_mem
suffices t ⊆ s \ t by
have h := @disjoint_sdiff_self_right _ t s _
specialize h le_rfl this
simp only [Set.bot_eq_empty, Set.le_eq_subset, subset_empty_iff] at h
refine hC.empty_nmem_disjointOfDiff hs ht ?_
rwa [← h]
rw [← hC.sUnion_disjointOfDiff hs ht]
exact subset_sUnion_of_mem hs_mem
lemma sUnion_insert_disjointOfDiff (hC : IsSetSemiring C) (hs : s ∈ C)
(ht : t ∈ C) (hst : t ⊆ s) :
⋃₀ insert t (hC.disjointOfDiff hs ht) = s := by
conv_rhs => rw [← union_diff_cancel hst, ← hC.sUnion_disjointOfDiff hs ht]
simp only [mem_coe, sUnion_insert]
lemma disjoint_sUnion_disjointOfDiff (hC : IsSetSemiring C) (hs : s ∈ C) (ht : t ∈ C) :
Disjoint t (⋃₀ hC.disjointOfDiff hs ht) := by
rw [hC.sUnion_disjointOfDiff]
exact disjoint_sdiff_right
lemma pairwiseDisjoint_insert_disjointOfDiff (hC : IsSetSemiring C) (hs : s ∈ C)
(ht : t ∈ C) :
PairwiseDisjoint (insert t (hC.disjointOfDiff hs ht) : Set (Set α)) id := by
have h := hC.pairwiseDisjoint_disjointOfDiff hs ht
refine PairwiseDisjoint.insert_of_not_mem h (hC.nmem_disjointOfDiff hs ht) fun u hu ↦ ?_
simp_rw [id]
refine Disjoint.mono_right ?_ (hC.disjoint_sUnion_disjointOfDiff hs ht)
simp only [Set.le_eq_subset]
exact subset_sUnion_of_mem hu
end disjointOfDiff
section disjointOfDiffUnion
variable {I : Finset (Set α)}
/-- In a semiring of sets `C`, for all set `s ∈ C` and finite set of sets `I ⊆ C`, there is a
finite set of sets in `C` whose union is `s \ ⋃₀ I`.
See `IsSetSemiring.disjointOfDiffUnion` for a definition that gives such a set. -/
lemma exists_disjoint_finset_diff_eq (hC : IsSetSemiring C) (hs : s ∈ C) (hI : ↑I ⊆ C) :
∃ J : Finset (Set α), ↑J ⊆ C ∧ PairwiseDisjoint (J : Set (Set α)) id ∧
s \ ⋃₀ I = ⋃₀ J := by
classical
induction I using Finset.induction with
| empty =>
simp only [coe_empty, sUnion_empty, diff_empty, exists_prop]
refine ⟨{s}, singleton_subset_set_iff.mpr hs, ?_⟩
simp only [coe_singleton, pairwiseDisjoint_singleton, sUnion_singleton, eq_self_iff_true,
and_self_iff]
| insert t I' _ h => ?_
rw [coe_insert] at hI
have ht : t ∈ C := hI (Set.mem_insert _ _)
obtain ⟨J, h_ss, h_dis, h_eq⟩ := h ((Set.subset_insert _ _).trans hI)
let Ju : ∀ u ∈ C, Finset (Set α) := fun u hu ↦ hC.disjointOfDiff hu ht
have hJu_subset : ∀ (u) (hu : u ∈ C), ↑(Ju u hu) ⊆ C := by
intro u hu x hx
exact hC.subset_disjointOfDiff hu ht hx
have hJu_disj : ∀ (u) (hu : u ∈ C), (Ju u hu : Set (Set α)).PairwiseDisjoint id := fun u hu ↦
hC.pairwiseDisjoint_disjointOfDiff hu ht
have hJu_sUnion : ∀ (u) (hu : u ∈ C), ⋃₀ (Ju u hu : Set (Set α)) = u \ t :=
fun u hu ↦ hC.sUnion_disjointOfDiff hu ht
have hJu_disj' : ∀ (u) (hu : u ∈ C) (v) (hv : v ∈ C) (_h_dis : Disjoint u v),
Disjoint (⋃₀ (Ju u hu : Set (Set α))) (⋃₀ ↑(Ju v hv)) := by
intro u hu v hv huv_disj
rw [hJu_sUnion, hJu_sUnion]
exact disjoint_of_subset Set.diff_subset Set.diff_subset huv_disj
let J' : Finset (Set α) := Finset.biUnion (Finset.univ : Finset J) fun u ↦ Ju u (h_ss u.prop)
have hJ'_subset : ↑J' ⊆ C := by
intro u
simp only [J' ,Subtype.coe_mk, univ_eq_attach, coe_biUnion, mem_coe, mem_attach, iUnion_true,
mem_iUnion, Finset.exists_coe, exists₂_imp]
intro v hv huvt
exact hJu_subset v (h_ss hv) huvt
refine ⟨J', hJ'_subset, ?_, ?_⟩
· rw [Finset.coe_biUnion]
refine PairwiseDisjoint.biUnion ?_ ?_
· simp only [univ_eq_attach, mem_coe, id, iSup_eq_iUnion]
simp_rw [PairwiseDisjoint, Set.Pairwise]
intro x _ y _ hxy
have hxy_disj : Disjoint (x : Set α) y := by
by_contra h_contra
refine hxy ?_
refine Subtype.ext ?_
exact h_dis.elim x.prop y.prop h_contra
convert hJu_disj' (x : Set α) (h_ss x.prop) y (h_ss y.prop) hxy_disj
· rw [sUnion_eq_biUnion]
congr
· rw [sUnion_eq_biUnion]
congr
· exact fun u _ ↦ hJu_disj _ _
· rw [coe_insert, sUnion_insert, Set.union_comm, ← Set.diff_diff, h_eq]
simp_rw [J', sUnion_eq_biUnion, Set.iUnion_diff]
simp only [Subtype.coe_mk, mem_coe, Finset.mem_biUnion, Finset.mem_univ, exists_true_left,
Finset.exists_coe, iUnion_exists, true_and]
rw [iUnion_comm]
refine iUnion_congr fun i ↦ ?_
by_cases hi : i ∈ J
· simp only [hi, iUnion_true, exists_prop]
rw [← hJu_sUnion i (h_ss hi), sUnion_eq_biUnion]
simp only [mem_coe]
· simp only [hi, iUnion_of_empty, iUnion_empty]
open scoped Classical in
/-- In a semiring of sets `C`, for all set `s ∈ C` and finite set of sets `I ⊆ C`,
`disjointOfDiffUnion` is a finite set of sets in `C` such that
`s \ ⋃₀ I = ⋃₀ (hC.disjointOfDiffUnion hs I hI)`.
`disjointOfDiff` is a special case of `disjointOfDiffUnion` where `I` is a
singleton. -/
noncomputable def disjointOfDiffUnion (hC : IsSetSemiring C) (hs : s ∈ C)
(hI : ↑I ⊆ C) : Finset (Set α) :=
(hC.exists_disjoint_finset_diff_eq hs hI).choose \ {∅}
lemma empty_nmem_disjointOfDiffUnion (hC : IsSetSemiring C) (hs : s ∈ C)
(hI : ↑I ⊆ C) :
∅ ∉ hC.disjointOfDiffUnion hs hI := by
classical
simp only [disjointOfDiffUnion, mem_sdiff, Finset.mem_singleton, eq_self_iff_true,
not_true, and_false, not_false_iff]
lemma disjointOfDiffUnion_subset (hC : IsSetSemiring C) (hs : s ∈ C) (hI : ↑I ⊆ C) :
↑(hC.disjointOfDiffUnion hs hI) ⊆ C := by
classical
simp only [disjointOfDiffUnion, coe_sdiff, coe_singleton, diff_singleton_subset_iff]
exact (hC.exists_disjoint_finset_diff_eq hs hI).choose_spec.1.trans (Set.subset_insert _ _)
lemma pairwiseDisjoint_disjointOfDiffUnion (hC : IsSetSemiring C) (hs : s ∈ C)
(hI : ↑I ⊆ C) : PairwiseDisjoint (hC.disjointOfDiffUnion hs hI : Set (Set α)) id := by
classical
simp only [disjointOfDiffUnion, coe_sdiff, coe_singleton]
exact Set.PairwiseDisjoint.subset
(hC.exists_disjoint_finset_diff_eq hs hI).choose_spec.2.1 diff_subset
lemma diff_sUnion_eq_sUnion_disjointOfDiffUnion (hC : IsSetSemiring C) (hs : s ∈ C)
(hI : ↑I ⊆ C) : s \ ⋃₀ I = ⋃₀ hC.disjointOfDiffUnion hs hI := by
classical
rw [(hC.exists_disjoint_finset_diff_eq hs hI).choose_spec.2.2]
simp only [disjointOfDiffUnion, coe_sdiff, coe_singleton, diff_singleton_subset_iff]
rw [sUnion_diff_singleton_empty]
lemma sUnion_disjointOfDiffUnion_subset (hC : IsSetSemiring C) (hs : s ∈ C)
(hI : ↑I ⊆ C) : ⋃₀ (hC.disjointOfDiffUnion hs hI : Set (Set α)) ⊆ s := by
rw [← hC.diff_sUnion_eq_sUnion_disjointOfDiffUnion]
exact diff_subset
lemma subset_of_diffUnion_disjointOfDiffUnion (hC : IsSetSemiring C) (hs : s ∈ C) (hI : ↑I ⊆ C)
(t : Set α) (ht : t ∈ (hC.disjointOfDiffUnion hs hI : Set (Set α))) :
t ⊆ s \ ⋃₀ I := by
revert t ht
rw [← sUnion_subset_iff, hC.diff_sUnion_eq_sUnion_disjointOfDiffUnion hs hI]
lemma subset_of_mem_disjointOfDiffUnion (hC : IsSetSemiring C) {I : Finset (Set α)}
(hs : s ∈ C) (hI : ↑I ⊆ C) (t : Set α)
| (ht : t ∈ (hC.disjointOfDiffUnion hs hI : Set (Set α))) :
t ⊆ s := by
apply le_trans <| hC.subset_of_diffUnion_disjointOfDiffUnion hs hI t ht
exact sdiff_le (a := s) (b := ⋃₀ I)
| Mathlib/MeasureTheory/SetSemiring.lean | 263 | 267 |
/-
Copyright (c) 2021 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison
-/
import Mathlib.LinearAlgebra.Basis.Basic
import Mathlib.LinearAlgebra.Basis.Submodule
import Mathlib.LinearAlgebra.Dimension.Finrank
import Mathlib.LinearAlgebra.InvariantBasisNumber
/-!
# Lemmas about rank and finrank in rings satisfying strong rank condition.
## Main statements
For modules over rings satisfying the rank condition
* `Basis.le_span`:
the cardinality of a basis is bounded by the cardinality of any spanning set
For modules over rings satisfying the strong rank condition
* `linearIndependent_le_span`:
For any linearly independent family `v : ι → M`
and any finite spanning set `w : Set M`,
the cardinality of `ι` is bounded by the cardinality of `w`.
* `linearIndependent_le_basis`:
If `b` is a basis for a module `M`,
and `s` is a linearly independent set,
then the cardinality of `s` is bounded by the cardinality of `b`.
For modules over rings with invariant basis number
(including all commutative rings and all noetherian rings)
* `mk_eq_mk_of_basis`: the dimension theorem, any two bases of the same vector space have the same
cardinality.
## Additional definition
* `Algebra.IsQuadraticExtension`: An extension of rings `R ⊆ S` is quadratic if `S` is a
free `R`-algebra of rank `2`.
-/
noncomputable section
universe u v w w'
variable {R : Type u} {M : Type v} [Semiring R] [AddCommMonoid M] [Module R M]
variable {ι : Type w} {ι' : Type w'}
open Cardinal Basis Submodule Function Set Module
attribute [local instance] nontrivial_of_invariantBasisNumber
section InvariantBasisNumber
variable [InvariantBasisNumber R]
/-- The dimension theorem: if `v` and `v'` are two bases, their index types
have the same cardinalities. -/
theorem mk_eq_mk_of_basis (v : Basis ι R M) (v' : Basis ι' R M) :
Cardinal.lift.{w'} #ι = Cardinal.lift.{w} #ι' := by
classical
haveI := nontrivial_of_invariantBasisNumber R
cases fintypeOrInfinite ι
· -- `v` is a finite basis, so by `basis_finite_of_finite_spans` so is `v'`.
-- haveI : Finite (range v) := Set.finite_range v
haveI := basis_finite_of_finite_spans (Set.finite_range v) v.span_eq v'
cases nonempty_fintype ι'
-- We clean up a little:
rw [Cardinal.mk_fintype, Cardinal.mk_fintype]
simp only [Cardinal.lift_natCast, Nat.cast_inj]
-- Now we can use invariant basis number to show they have the same cardinality.
apply card_eq_of_linearEquiv R
exact
(Finsupp.linearEquivFunOnFinite R R ι).symm.trans v.repr.symm ≪≫ₗ v'.repr ≪≫ₗ
Finsupp.linearEquivFunOnFinite R R ι'
· -- `v` is an infinite basis,
-- so by `infinite_basis_le_maximal_linearIndependent`, `v'` is at least as big,
-- and then applying `infinite_basis_le_maximal_linearIndependent` again
-- we see they have the same cardinality.
have w₁ := infinite_basis_le_maximal_linearIndependent' v _ v'.linearIndependent v'.maximal
rcases Cardinal.lift_mk_le'.mp w₁ with ⟨f⟩
haveI : Infinite ι' := Infinite.of_injective f f.2
have w₂ := infinite_basis_le_maximal_linearIndependent' v' _ v.linearIndependent v.maximal
exact le_antisymm w₁ w₂
/-- Given two bases indexed by `ι` and `ι'` of an `R`-module, where `R` satisfies the invariant
basis number property, an equiv `ι ≃ ι'`. -/
def Basis.indexEquiv (v : Basis ι R M) (v' : Basis ι' R M) : ι ≃ ι' :=
(Cardinal.lift_mk_eq'.1 <| mk_eq_mk_of_basis v v').some
theorem mk_eq_mk_of_basis' {ι' : Type w} (v : Basis ι R M) (v' : Basis ι' R M) : #ι = #ι' :=
Cardinal.lift_inj.1 <| mk_eq_mk_of_basis v v'
end InvariantBasisNumber
section RankCondition
variable [RankCondition R]
/-- An auxiliary lemma for `Basis.le_span`.
If `R` satisfies the rank condition,
then for any finite basis `b : Basis ι R M`,
and any finite spanning set `w : Set M`,
the cardinality of `ι` is bounded by the cardinality of `w`.
-/
theorem Basis.le_span'' {ι : Type*} [Fintype ι] (b : Basis ι R M) {w : Set M} [Fintype w]
(s : span R w = ⊤) : Fintype.card ι ≤ Fintype.card w := by
-- We construct a surjective linear map `(w → R) →ₗ[R] (ι → R)`,
-- by expressing a linear combination in `w` as a linear combination in `ι`.
fapply card_le_of_surjective' R
· exact b.repr.toLinearMap.comp (Finsupp.linearCombination R (↑))
· apply Surjective.comp (g := b.repr.toLinearMap)
· apply LinearEquiv.surjective
rw [← LinearMap.range_eq_top, Finsupp.range_linearCombination]
simpa using s
/--
Another auxiliary lemma for `Basis.le_span`, which does not require assuming the basis is finite,
but still assumes we have a finite spanning set.
-/
theorem basis_le_span' {ι : Type*} (b : Basis ι R M) {w : Set M} [Fintype w] (s : span R w = ⊤) :
#ι ≤ Fintype.card w := by
haveI := nontrivial_of_invariantBasisNumber R
haveI := basis_finite_of_finite_spans w.toFinite s b
cases nonempty_fintype ι
rw [Cardinal.mk_fintype ι]
simp only [Nat.cast_le]
exact Basis.le_span'' b s
-- Note that if `R` satisfies the strong rank condition,
-- this also follows from `linearIndependent_le_span` below.
/-- If `R` satisfies the rank condition,
then the cardinality of any basis is bounded by the cardinality of any spanning set.
-/
theorem Basis.le_span {J : Set M} (v : Basis ι R M) (hJ : span R J = ⊤) : #(range v) ≤ #J := by
haveI := nontrivial_of_invariantBasisNumber R
cases fintypeOrInfinite J
· rw [← Cardinal.lift_le, Cardinal.mk_range_eq_of_injective v.injective, Cardinal.mk_fintype J]
convert Cardinal.lift_le.{v}.2 (basis_le_span' v hJ)
simp
· let S : J → Set ι := fun j => ↑(v.repr j).support
let S' : J → Set M := fun j => v '' S j
have hs : range v ⊆ ⋃ j, S' j := by
intro b hb
rcases mem_range.1 hb with ⟨i, hi⟩
have : span R J ≤ comap v.repr.toLinearMap (Finsupp.supported R R (⋃ j, S j)) :=
span_le.2 fun j hj x hx => ⟨_, ⟨⟨j, hj⟩, rfl⟩, hx⟩
rw [hJ] at this
replace : v.repr (v i) ∈ Finsupp.supported R R (⋃ j, S j) := this trivial
rw [v.repr_self, Finsupp.mem_supported, Finsupp.support_single_ne_zero _ one_ne_zero] at this
· subst b
rcases mem_iUnion.1 (this (Finset.mem_singleton_self _)) with ⟨j, hj⟩
exact mem_iUnion.2 ⟨j, (mem_image _ _ _).2 ⟨i, hj, rfl⟩⟩
refine le_of_not_lt fun IJ => ?_
suffices #(⋃ j, S' j) < #(range v) by exact not_le_of_lt this ⟨Set.embeddingOfSubset _ _ hs⟩
refine lt_of_le_of_lt (le_trans Cardinal.mk_iUnion_le_sum_mk
(Cardinal.sum_le_sum _ (fun _ => ℵ₀) ?_)) ?_
· exact fun j => (Cardinal.lt_aleph0_of_finite _).le
· simpa
end RankCondition
section StrongRankCondition
variable [StrongRankCondition R]
open Submodule Finsupp
-- An auxiliary lemma for `linearIndependent_le_span'`,
-- with the additional assumption that the linearly independent family is finite.
theorem linearIndependent_le_span_aux' {ι : Type*} [Fintype ι] (v : ι → M)
(i : LinearIndependent R v) (w : Set M) [Fintype w] (s : range v ≤ span R w) :
Fintype.card ι ≤ Fintype.card w := by
-- We construct an injective linear map `(ι → R) →ₗ[R] (w → R)`,
-- by thinking of `f : ι → R` as a linear combination of the finite family `v`,
-- and expressing that (using the axiom of choice) as a linear combination over `w`.
-- We can do this linearly by constructing the map on a basis.
fapply card_le_of_injective' R
· apply Finsupp.linearCombination
exact fun i => Span.repr R w ⟨v i, s (mem_range_self i)⟩
· intro f g h
apply_fun linearCombination R ((↑) : w → M) at h
simp only [linearCombination_linearCombination, Submodule.coe_mk,
Span.finsupp_linearCombination_repr] at h
exact i h
/-- If `R` satisfies the strong rank condition,
then any linearly independent family `v : ι → M`
contained in the span of some finite `w : Set M`,
is itself finite.
-/
lemma LinearIndependent.finite_of_le_span_finite {ι : Type*} (v : ι → M) (i : LinearIndependent R v)
(w : Set M) [Finite w] (s : range v ≤ span R w) : Finite ι :=
letI := Fintype.ofFinite w
Fintype.finite <| fintypeOfFinsetCardLe (Fintype.card w) fun t => by
let v' := fun x : (t : Set ι) => v x
have i' : LinearIndependent R v' := i.comp _ Subtype.val_injective
have s' : range v' ≤ span R w := (range_comp_subset_range _ _).trans s
simpa using linearIndependent_le_span_aux' v' i' w s'
/-- If `R` satisfies the strong rank condition,
then for any linearly independent family `v : ι → M`
contained in the span of some finite `w : Set M`,
the cardinality of `ι` is bounded by the cardinality of `w`.
-/
theorem linearIndependent_le_span' {ι : Type*} (v : ι → M) (i : LinearIndependent R v) (w : Set M)
[Fintype w] (s : range v ≤ span R w) : #ι ≤ Fintype.card w := by
haveI : Finite ι := i.finite_of_le_span_finite v w s
letI := Fintype.ofFinite ι
rw [Cardinal.mk_fintype]
simp only [Nat.cast_le]
exact linearIndependent_le_span_aux' v i w s
/-- If `R` satisfies the strong rank condition,
then for any linearly independent family `v : ι → M`
and any finite spanning set `w : Set M`,
the cardinality of `ι` is bounded by the cardinality of `w`.
-/
theorem linearIndependent_le_span {ι : Type*} (v : ι → M) (i : LinearIndependent R v) (w : Set M)
[Fintype w] (s : span R w = ⊤) : #ι ≤ Fintype.card w := by
apply linearIndependent_le_span' v i w
rw [s]
exact le_top
/-- A version of `linearIndependent_le_span` for `Finset`. -/
theorem linearIndependent_le_span_finset {ι : Type*} (v : ι → M) (i : LinearIndependent R v)
(w : Finset M) (s : span R (w : Set M) = ⊤) : #ι ≤ w.card := by
simpa only [Finset.coe_sort_coe, Fintype.card_coe] using linearIndependent_le_span v i w s
/-- An auxiliary lemma for `linearIndependent_le_basis`:
we handle the case where the basis `b` is infinite.
-/
theorem linearIndependent_le_infinite_basis {ι : Type w} (b : Basis ι R M) [Infinite ι] {κ : Type w}
(v : κ → M) (i : LinearIndependent R v) : #κ ≤ #ι := by
classical
by_contra h
rw [not_le, ← Cardinal.mk_finset_of_infinite ι] at h
let Φ := fun k : κ => (b.repr (v k)).support
obtain ⟨s, w : Infinite ↑(Φ ⁻¹' {s})⟩ := Cardinal.exists_infinite_fiber Φ h (by infer_instance)
let v' := fun k : Φ ⁻¹' {s} => v k
have i' : LinearIndependent R v' := i.comp _ Subtype.val_injective
have w' : Finite (Φ ⁻¹' {s}) := by
apply i'.finite_of_le_span_finite v' (s.image b)
rintro m ⟨⟨p, ⟨rfl⟩⟩, rfl⟩
simp only [SetLike.mem_coe, Subtype.coe_mk, Finset.coe_image]
apply Basis.mem_span_repr_support
exact w.false
/-- Over any ring `R` satisfying the strong rank condition,
if `b` is a basis for a module `M`,
and `s` is a linearly independent set,
then the cardinality of `s` is bounded by the cardinality of `b`.
-/
theorem linearIndependent_le_basis {ι : Type w} (b : Basis ι R M) {κ : Type w} (v : κ → M)
(i : LinearIndependent R v) : #κ ≤ #ι := by
classical
-- We split into cases depending on whether `ι` is infinite.
cases fintypeOrInfinite ι
· rw [Cardinal.mk_fintype ι] -- When `ι` is finite, we have `linearIndependent_le_span`,
haveI : Nontrivial R := nontrivial_of_invariantBasisNumber R
rw [Fintype.card_congr (Equiv.ofInjective b b.injective)]
exact linearIndependent_le_span v i (range b) b.span_eq
· -- and otherwise we have `linearIndependent_le_infinite_basis`.
exact linearIndependent_le_infinite_basis b v i
/-- `StrongRankCondition` implies that if there is an injective linear map `(α →₀ R) →ₗ[R] β →₀ R`,
then the cardinal of `α` is smaller than or equal to the cardinal of `β`.
-/
theorem card_le_of_injective'' {α : Type v} {β : Type v} (f : (α →₀ R) →ₗ[R] β →₀ R)
(i : Injective f) : #α ≤ #β := by
let b : Basis β R (β →₀ R) := ⟨1⟩
apply linearIndependent_le_basis b (fun (i : α) ↦ f (Finsupp.single i 1))
rw [LinearIndependent]
have : (linearCombination R fun i ↦ f (Finsupp.single i 1)) = f := by ext a b; simp
exact this.symm ▸ i
/-- If `R` satisfies the strong rank condition, then for any linearly independent family `v : ι → M`
and spanning set `w : Set M`, the cardinality of `ι` is bounded by the cardinality of `w`.
-/
theorem linearIndependent_le_span'' {ι : Type v} {v : ι → M} (i : LinearIndependent R v) (w : Set M)
(s : span R w = ⊤) : #ι ≤ #w := by
fapply card_le_of_injective'' (R := R)
· apply Finsupp.linearCombination
exact fun i ↦ Span.repr R w ⟨v i, s ▸ trivial⟩
· intro f g h
apply_fun linearCombination R ((↑) : w → M) at h
simp only [linearCombination_linearCombination, Submodule.coe_mk,
Span.finsupp_linearCombination_repr] at h
exact i h
/-- Let `R` satisfy the strong rank condition. If `m` elements of a free rank `n` `R`-module are
linearly independent, then `m ≤ n`. -/
theorem Basis.card_le_card_of_linearIndependent_aux {R : Type*} [Semiring R] [StrongRankCondition R]
(n : ℕ) {m : ℕ} (v : Fin m → Fin n → R) : LinearIndependent R v → m ≤ n := fun h => by
simpa using linearIndependent_le_basis (Pi.basisFun R (Fin n)) v h
-- When the basis is not infinite this need not be true!
/-- Over any ring `R` satisfying the strong rank condition,
if `b` is an infinite basis for a module `M`,
then every maximal linearly independent set has the same cardinality as `b`.
This proof (along with some of the lemmas above) comes from
[Les familles libres maximales d'un module ont-elles le meme cardinal?][lazarus1973]
-/
theorem maximal_linearIndependent_eq_infinite_basis {ι : Type w} (b : Basis ι R M) [Infinite ι]
{κ : Type w} (v : κ → M) (i : LinearIndependent R v) (m : i.Maximal) : #κ = #ι := by
apply le_antisymm
· exact linearIndependent_le_basis b v i
· haveI : Nontrivial R := nontrivial_of_invariantBasisNumber R
exact infinite_basis_le_maximal_linearIndependent b v i m
theorem Basis.mk_eq_rank'' {ι : Type v} (v : Basis ι R M) : #ι = Module.rank R M := by
haveI := nontrivial_of_invariantBasisNumber R
rw [Module.rank_def]
apply le_antisymm
· trans
swap
· apply le_ciSup (Cardinal.bddAbove_range _)
exact
⟨Set.range v, by
rw [LinearIndepOn]
convert v.reindexRange.linearIndependent
simp⟩
· exact (Cardinal.mk_range_eq v v.injective).ge
· apply ciSup_le'
rintro ⟨s, li⟩
apply linearIndependent_le_basis v _ li
theorem Basis.mk_range_eq_rank (v : Basis ι R M) : #(range v) = Module.rank R M :=
v.reindexRange.mk_eq_rank''
/-- If a vector space has a finite basis, then its dimension (seen as a cardinal) is equal to the
cardinality of the basis. -/
theorem rank_eq_card_basis {ι : Type w} [Fintype ι] (h : Basis ι R M) :
Module.rank R M = Fintype.card ι := by
classical
haveI := nontrivial_of_invariantBasisNumber R
rw [← h.mk_range_eq_rank, Cardinal.mk_fintype, Set.card_range_of_injective h.injective]
theorem Basis.card_le_card_of_linearIndependent {ι : Type*} [Fintype ι] (b : Basis ι R M)
{ι' : Type*} [Fintype ι'] {v : ι' → M} (hv : LinearIndependent R v) :
Fintype.card ι' ≤ Fintype.card ι := by
letI := nontrivial_of_invariantBasisNumber R
simpa [rank_eq_card_basis b, Cardinal.mk_fintype] using hv.cardinal_lift_le_rank
theorem Basis.card_le_card_of_submodule (N : Submodule R M) [Fintype ι] (b : Basis ι R M)
[Fintype ι'] (b' : Basis ι' R N) : Fintype.card ι' ≤ Fintype.card ι :=
b.card_le_card_of_linearIndependent
(b'.linearIndependent.map_injOn N.subtype N.injective_subtype.injOn)
theorem Basis.card_le_card_of_le {N O : Submodule R M} (hNO : N ≤ O) [Fintype ι] (b : Basis ι R O)
[Fintype ι'] (b' : Basis ι' R N) : Fintype.card ι' ≤ Fintype.card ι :=
b.card_le_card_of_linearIndependent
(b'.linearIndependent.map_injOn (inclusion hNO) (N.inclusion_injective _).injOn)
theorem Basis.mk_eq_rank (v : Basis ι R M) :
Cardinal.lift.{v} #ι = Cardinal.lift.{w} (Module.rank R M) := by
haveI := nontrivial_of_invariantBasisNumber R
rw [← v.mk_range_eq_rank, Cardinal.mk_range_eq_of_injective v.injective]
theorem Basis.mk_eq_rank'.{m} (v : Basis ι R M) :
Cardinal.lift.{max v m} #ι = Cardinal.lift.{max w m} (Module.rank R M) :=
Cardinal.lift_umax_eq.{w, v, m}.mpr v.mk_eq_rank
theorem rank_span {v : ι → M} (hv : LinearIndependent R v) :
Module.rank R ↑(span R (range v)) = #(range v) := by
haveI := nontrivial_of_invariantBasisNumber R
rw [← Cardinal.lift_inj, ← (Basis.span hv).mk_eq_rank,
Cardinal.mk_range_eq_of_injective (@LinearIndependent.injective ι R M v _ _ _ _ hv)]
theorem rank_span_set {s : Set M} (hs : LinearIndepOn R id s) : Module.rank R ↑(span R s) = #s := by
rw [← @setOf_mem_eq _ s, ← Subtype.range_coe_subtype]
exact rank_span hs
theorem toENat_rank_span_set {v : ι → M} {s : Set ι} (hs : LinearIndepOn R v s) :
(Module.rank R <| span R <| v '' s).toENat = s.encard := by
rw [image_eq_range, ← hs.injOn.encard_image, ← toENat_cardinalMk, image_eq_range,
← rank_span hs.linearIndependent]
/-- An induction (and recursion) principle for proving results about all submodules of a fixed
finite free module `M`. A property is true for all submodules of `M` if it satisfies the following
"inductive step": the property is true for a submodule `N` if it's true for all submodules `N'`
of `N` with the property that there exists `0 ≠ x ∈ N` such that the sum `N' + Rx` is direct. -/
def Submodule.inductionOnRank {R M} [Ring R] [StrongRankCondition R] [AddCommGroup M] [Module R M]
| [IsDomain R] [Finite ι] (b : Basis ι R M) (P : Submodule R M → Sort*)
(ih : ∀ N : Submodule R M,
(∀ N' ≤ N, ∀ x ∈ N, (∀ (c : R), ∀ y ∈ N', c • x + y = (0 : M) → c = 0) → P N') → P N)
(N : Submodule R M) : P N :=
letI := Fintype.ofFinite ι
Submodule.inductionOnRankAux b P ih (Fintype.card ι) N fun hs hli => by
simpa using b.card_le_card_of_linearIndependent hli
/-- If `S` a module-finite free `R`-algebra, then the `R`-rank of a nonzero `R`-free
ideal `I` of `S` is the same as the rank of `S`. -/
theorem Ideal.rank_eq {R S : Type*} [CommRing R] [StrongRankCondition R] [Ring S] [IsDomain S]
[Algebra R S] {n m : Type*} [Fintype n] [Fintype m] (b : Basis n R S) {I : Ideal S}
(hI : I ≠ ⊥) (c : Basis m R I) : Fintype.card m = Fintype.card n := by
obtain ⟨a, ha⟩ := Submodule.nonzero_mem_of_bot_lt (bot_lt_iff_ne_bot.mpr hI)
have : LinearIndependent R fun i => b i • a := by
| Mathlib/LinearAlgebra/Dimension/StrongRankCondition.lean | 390 | 404 |
/-
Copyright (c) 2023 Jireh Loreaux. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jireh Loreaux
-/
import Mathlib.Algebra.Algebra.NonUnitalHom
import Mathlib.Data.Set.UnionLift
import Mathlib.LinearAlgebra.Span.Basic
import Mathlib.RingTheory.NonUnitalSubring.Basic
/-!
# Non-unital Subalgebras over Commutative Semirings
In this file we define `NonUnitalSubalgebra`s and the usual operations on them (`map`, `comap`).
## TODO
* once we have scalar actions by semigroups (as opposed to monoids), implement the action of a
non-unital subalgebra on the larger algebra.
-/
universe u u' v v' w w'
section NonUnitalSubalgebraClass
variable {S R A : Type*} [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A]
variable [SetLike S A] [NonUnitalSubsemiringClass S A] [hSR : SMulMemClass S R A] (s : S)
namespace NonUnitalSubalgebraClass
/-- Embedding of a non-unital subalgebra into the non-unital algebra. -/
def subtype (s : S) : s →ₙₐ[R] A :=
{ NonUnitalSubsemiringClass.subtype s, SMulMemClass.subtype s with toFun := (↑) }
variable {s} in
@[simp]
lemma subtype_apply (x : s) : subtype s x = x := rfl
lemma subtype_injective :
Function.Injective (subtype s) :=
Subtype.coe_injective
@[simp]
theorem coe_subtype : (subtype s : s → A) = ((↑) : s → A) :=
rfl
@[deprecated (since := "2025-02-18")]
alias coeSubtype := coe_subtype
end NonUnitalSubalgebraClass
end NonUnitalSubalgebraClass
/-- A non-unital subalgebra is a sub(semi)ring that is also a submodule. -/
structure NonUnitalSubalgebra (R : Type u) (A : Type v) [CommSemiring R]
[NonUnitalNonAssocSemiring A] [Module R A] : Type v
extends NonUnitalSubsemiring A, Submodule R A
/-- Reinterpret a `NonUnitalSubalgebra` as a `NonUnitalSubsemiring`. -/
add_decl_doc NonUnitalSubalgebra.toNonUnitalSubsemiring
/-- Reinterpret a `NonUnitalSubalgebra` as a `Submodule`. -/
add_decl_doc NonUnitalSubalgebra.toSubmodule
namespace NonUnitalSubalgebra
variable {F : Type v'} {R' : Type u'} {R : Type u} {A : Type v} {B : Type w} {C : Type w'}
section NonUnitalNonAssocSemiring
variable [CommSemiring R]
variable [NonUnitalNonAssocSemiring A] [NonUnitalNonAssocSemiring B] [NonUnitalNonAssocSemiring C]
variable [Module R A] [Module R B] [Module R C]
instance : SetLike (NonUnitalSubalgebra R A) A where
coe s := s.carrier
coe_injective' p q h := by cases p; cases q; congr; exact SetLike.coe_injective h
/-- The actual `NonUnitalSubalgebra` obtained from an element of a type satisfying
`NonUnitalSubsemiringClass` and `SMulMemClass`. -/
@[simps]
def ofClass {S R A : Type*} [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A]
[SetLike S A] [NonUnitalSubsemiringClass S A] [SMulMemClass S R A]
(s : S) : NonUnitalSubalgebra R A where
carrier := s
add_mem' := add_mem
zero_mem' := zero_mem _
mul_mem' := mul_mem
smul_mem' := SMulMemClass.smul_mem
instance (priority := 100) : CanLift (Set A) (NonUnitalSubalgebra R A) (↑)
(fun s ↦ 0 ∈ s ∧ (∀ {x y}, x ∈ s → y ∈ s → x + y ∈ s) ∧ (∀ {x y}, x ∈ s → y ∈ s → x * y ∈ s) ∧
∀ (r : R) {x}, x ∈ s → r • x ∈ s) where
prf s h :=
⟨ { carrier := s
zero_mem' := h.1
add_mem' := h.2.1
mul_mem' := h.2.2.1
smul_mem' := h.2.2.2 },
rfl ⟩
instance instNonUnitalSubsemiringClass :
NonUnitalSubsemiringClass (NonUnitalSubalgebra R A) A where
add_mem {s} := s.add_mem'
mul_mem {s} := s.mul_mem'
zero_mem {s} := s.zero_mem'
instance instSMulMemClass : SMulMemClass (NonUnitalSubalgebra R A) R A where
smul_mem := @fun s => s.smul_mem'
theorem mem_carrier {s : NonUnitalSubalgebra R A} {x : A} : x ∈ s.carrier ↔ x ∈ s :=
Iff.rfl
@[ext]
theorem ext {S T : NonUnitalSubalgebra R A} (h : ∀ x : A, x ∈ S ↔ x ∈ T) : S = T :=
SetLike.ext h
@[simp]
theorem mem_toNonUnitalSubsemiring {S : NonUnitalSubalgebra R A} {x} :
x ∈ S.toNonUnitalSubsemiring ↔ x ∈ S :=
Iff.rfl
@[simp]
theorem coe_toNonUnitalSubsemiring (S : NonUnitalSubalgebra R A) :
(↑S.toNonUnitalSubsemiring : Set A) = S :=
rfl
theorem toNonUnitalSubsemiring_injective :
Function.Injective
(toNonUnitalSubsemiring : NonUnitalSubalgebra R A → NonUnitalSubsemiring A) :=
fun S T h =>
ext fun x => by rw [← mem_toNonUnitalSubsemiring, ← mem_toNonUnitalSubsemiring, h]
theorem toNonUnitalSubsemiring_inj {S U : NonUnitalSubalgebra R A} :
S.toNonUnitalSubsemiring = U.toNonUnitalSubsemiring ↔ S = U :=
toNonUnitalSubsemiring_injective.eq_iff
theorem mem_toSubmodule (S : NonUnitalSubalgebra R A) {x} : x ∈ S.toSubmodule ↔ x ∈ S :=
Iff.rfl
@[simp]
theorem coe_toSubmodule (S : NonUnitalSubalgebra R A) : (↑S.toSubmodule : Set A) = S :=
rfl
theorem toSubmodule_injective :
Function.Injective (toSubmodule : NonUnitalSubalgebra R A → Submodule R A) := fun S T h =>
ext fun x => by rw [← mem_toSubmodule, ← mem_toSubmodule, h]
theorem toSubmodule_inj {S U : NonUnitalSubalgebra R A} : S.toSubmodule = U.toSubmodule ↔ S = U :=
toSubmodule_injective.eq_iff
/-- Copy of a non-unital subalgebra with a new `carrier` equal to the old one.
Useful to fix definitional equalities. -/
protected def copy (S : NonUnitalSubalgebra R A) (s : Set A) (hs : s = ↑S) :
NonUnitalSubalgebra R A :=
{ S.toNonUnitalSubsemiring.copy s hs with
smul_mem' := fun r a (ha : a ∈ s) => by
show r • a ∈ s
rw [hs] at ha ⊢
exact S.smul_mem' r ha }
@[simp]
theorem coe_copy (S : NonUnitalSubalgebra R A) (s : Set A) (hs : s = ↑S) :
(S.copy s hs : Set A) = s :=
rfl
theorem copy_eq (S : NonUnitalSubalgebra R A) (s : Set A) (hs : s = ↑S) : S.copy s hs = S :=
SetLike.coe_injective hs
instance (S : NonUnitalSubalgebra R A) : Inhabited S :=
⟨(0 : S.toNonUnitalSubsemiring)⟩
end NonUnitalNonAssocSemiring
section NonUnitalNonAssocRing
variable [CommRing R]
variable [NonUnitalNonAssocRing A] [NonUnitalNonAssocRing B] [NonUnitalNonAssocRing C]
variable [Module R A] [Module R B] [Module R C]
instance instNonUnitalSubringClass : NonUnitalSubringClass (NonUnitalSubalgebra R A) A :=
{ NonUnitalSubalgebra.instNonUnitalSubsemiringClass with
neg_mem := @fun _ x hx => neg_one_smul R x ▸ SMulMemClass.smul_mem _ hx }
/-- A non-unital subalgebra over a ring is also a `Subring`. -/
def toNonUnitalSubring (S : NonUnitalSubalgebra R A) : NonUnitalSubring A where
toNonUnitalSubsemiring := S.toNonUnitalSubsemiring
neg_mem' := neg_mem (s := S)
@[simp]
theorem mem_toNonUnitalSubring {S : NonUnitalSubalgebra R A} {x} :
x ∈ S.toNonUnitalSubring ↔ x ∈ S :=
Iff.rfl
@[simp]
theorem coe_toNonUnitalSubring (S : NonUnitalSubalgebra R A) :
(↑S.toNonUnitalSubring : Set A) = S :=
rfl
theorem toNonUnitalSubring_injective :
Function.Injective (toNonUnitalSubring : NonUnitalSubalgebra R A → NonUnitalSubring A) :=
fun S T h => ext fun x => by rw [← mem_toNonUnitalSubring, ← mem_toNonUnitalSubring, h]
theorem toNonUnitalSubring_inj {S U : NonUnitalSubalgebra R A} :
S.toNonUnitalSubring = U.toNonUnitalSubring ↔ S = U :=
toNonUnitalSubring_injective.eq_iff
end NonUnitalNonAssocRing
section
/-! `NonUnitalSubalgebra`s inherit structure from their `NonUnitalSubsemiring` / `Semiring`
coercions. -/
instance toNonUnitalNonAssocSemiring [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A]
(S : NonUnitalSubalgebra R A) : NonUnitalNonAssocSemiring S :=
inferInstance
instance toNonUnitalSemiring [CommSemiring R] [NonUnitalSemiring A] [Module R A]
(S : NonUnitalSubalgebra R A) : NonUnitalSemiring S :=
inferInstance
instance toNonUnitalCommSemiring [CommSemiring R] [NonUnitalCommSemiring A] [Module R A]
(S : NonUnitalSubalgebra R A) : NonUnitalCommSemiring S :=
inferInstance
instance toNonUnitalNonAssocRing [CommRing R] [NonUnitalNonAssocRing A] [Module R A]
(S : NonUnitalSubalgebra R A) : NonUnitalNonAssocRing S :=
inferInstance
instance toNonUnitalRing [CommRing R] [NonUnitalRing A] [Module R A]
(S : NonUnitalSubalgebra R A) : NonUnitalRing S :=
inferInstance
instance toNonUnitalCommRing [CommRing R] [NonUnitalCommRing A] [Module R A]
(S : NonUnitalSubalgebra R A) : NonUnitalCommRing S :=
inferInstance
end
/-- The forgetful map from `NonUnitalSubalgebra` to `Submodule` as an `OrderEmbedding` -/
def toSubmodule' [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A] :
NonUnitalSubalgebra R A ↪o Submodule R A where
toEmbedding :=
{ toFun := fun S => S.toSubmodule
inj' := fun S T h => ext <| by apply SetLike.ext_iff.1 h }
map_rel_iff' := SetLike.coe_subset_coe.symm.trans SetLike.coe_subset_coe
/-- The forgetful map from `NonUnitalSubalgebra` to `NonUnitalSubsemiring` as an
`OrderEmbedding` -/
def toNonUnitalSubsemiring' [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A] :
NonUnitalSubalgebra R A ↪o NonUnitalSubsemiring A where
toEmbedding :=
{ toFun := fun S => S.toNonUnitalSubsemiring
inj' := fun S T h => ext <| by apply SetLike.ext_iff.1 h }
map_rel_iff' := SetLike.coe_subset_coe.symm.trans SetLike.coe_subset_coe
/-- The forgetful map from `NonUnitalSubalgebra` to `NonUnitalSubsemiring` as an
`OrderEmbedding` -/
def toNonUnitalSubring' [CommRing R] [NonUnitalNonAssocRing A] [Module R A] :
NonUnitalSubalgebra R A ↪o NonUnitalSubring A where
toEmbedding :=
{ toFun := fun S => S.toNonUnitalSubring
inj' := fun S T h => ext <| by apply SetLike.ext_iff.1 h }
map_rel_iff' := SetLike.coe_subset_coe.symm.trans SetLike.coe_subset_coe
variable [CommSemiring R]
variable [NonUnitalNonAssocSemiring A] [NonUnitalNonAssocSemiring B] [NonUnitalNonAssocSemiring C]
variable [Module R A] [Module R B] [Module R C]
variable {S : NonUnitalSubalgebra R A}
section
/-! ### `NonUnitalSubalgebra`s inherit structure from their `Submodule` coercions. -/
instance instModule' [Semiring R'] [SMul R' R] [Module R' A] [IsScalarTower R' R A] : Module R' S :=
SMulMemClass.toModule' _ R' R A S
instance instModule : Module R S :=
S.instModule'
instance instIsScalarTower' [Semiring R'] [SMul R' R] [Module R' A] [IsScalarTower R' R A] :
IsScalarTower R' R S :=
S.toSubmodule.isScalarTower
instance [IsScalarTower R A A] : IsScalarTower R S S where
smul_assoc r x y := Subtype.ext <| smul_assoc r (x : A) (y : A)
instance instSMulCommClass' [Semiring R'] [SMul R' R] [Module R' A] [IsScalarTower R' R A]
[SMulCommClass R' R A] : SMulCommClass R' R S where
smul_comm r' r s := Subtype.ext <| smul_comm r' r (s : A)
instance instSMulCommClass [SMulCommClass R A A] : SMulCommClass R S S where
smul_comm r x y := Subtype.ext <| smul_comm r (x : A) (y : A)
instance noZeroSMulDivisors_bot [NoZeroSMulDivisors R A] : NoZeroSMulDivisors R S :=
⟨fun {c x} h =>
have : c = 0 ∨ (x : A) = 0 := eq_zero_or_eq_zero_of_smul_eq_zero (congr_arg ((↑) : S → A) h)
this.imp_right (@Subtype.ext_iff _ _ x 0).mpr⟩
end
protected theorem coe_add (x y : S) : (↑(x + y) : A) = ↑x + ↑y :=
rfl
protected theorem coe_mul (x y : S) : (↑(x * y) : A) = ↑x * ↑y :=
rfl
protected theorem coe_zero : ((0 : S) : A) = 0 :=
rfl
protected theorem coe_neg {R : Type u} {A : Type v} [CommRing R] [Ring A] [Algebra R A]
{S : NonUnitalSubalgebra R A} (x : S) : (↑(-x) : A) = -↑x :=
rfl
protected theorem coe_sub {R : Type u} {A : Type v} [CommRing R] [Ring A] [Algebra R A]
{S : NonUnitalSubalgebra R A} (x y : S) : (↑(x - y) : A) = ↑x - ↑y :=
rfl
@[simp, norm_cast]
theorem coe_smul [SMul R' R] [SMul R' A] [IsScalarTower R' R A] (r : R') (x : S) :
↑(r • x) = r • (x : A) :=
rfl
protected theorem coe_eq_zero {x : S} : (x : A) = 0 ↔ x = 0 :=
ZeroMemClass.coe_eq_zero
@[simp]
theorem toNonUnitalSubsemiring_subtype :
NonUnitalSubsemiringClass.subtype S = NonUnitalSubalgebraClass.subtype (R := R) S :=
rfl
@[simp]
theorem toSubring_subtype {R A : Type*} [CommRing R] [Ring A] [Algebra R A]
(S : NonUnitalSubalgebra R A) :
NonUnitalSubringClass.subtype S = NonUnitalSubalgebraClass.subtype (R := R) S :=
rfl
/-- Linear equivalence between `S : Submodule R A` and `S`. Though these types are equal,
we define it as a `LinearEquiv` to avoid type equalities. -/
def toSubmoduleEquiv (S : NonUnitalSubalgebra R A) : S.toSubmodule ≃ₗ[R] S :=
LinearEquiv.ofEq _ _ rfl
variable [FunLike F A B] [NonUnitalAlgHomClass F R A B]
/-- Transport a non-unital subalgebra via an algebra homomorphism. -/
def map (f : F) (S : NonUnitalSubalgebra R A) : NonUnitalSubalgebra R B :=
{ S.toNonUnitalSubsemiring.map (f : A →ₙ+* B) with
smul_mem' := fun r b hb => by
rcases hb with ⟨a, ha, rfl⟩
exact map_smulₛₗ f r a ▸ Set.mem_image_of_mem f (S.smul_mem' r ha) }
theorem map_mono {S₁ S₂ : NonUnitalSubalgebra R A} {f : F} :
S₁ ≤ S₂ → (map f S₁ : NonUnitalSubalgebra R B) ≤ map f S₂ :=
Set.image_subset f
theorem map_injective {f : F} (hf : Function.Injective f) :
Function.Injective (map f : NonUnitalSubalgebra R A → NonUnitalSubalgebra R B) :=
fun _S₁ _S₂ ih =>
ext <| Set.ext_iff.1 <| Set.image_injective.2 hf <| Set.ext <| SetLike.ext_iff.mp ih
@[simp]
theorem map_id (S : NonUnitalSubalgebra R A) : map (NonUnitalAlgHom.id R A) S = S :=
SetLike.coe_injective <| Set.image_id _
theorem map_map (S : NonUnitalSubalgebra R A) (g : B →ₙₐ[R] C) (f : A →ₙₐ[R] B) :
(S.map f).map g = S.map (g.comp f) :=
SetLike.coe_injective <| Set.image_image _ _ _
@[simp]
theorem mem_map {S : NonUnitalSubalgebra R A} {f : F} {y : B} : y ∈ map f S ↔ ∃ x ∈ S, f x = y :=
NonUnitalSubsemiring.mem_map
theorem map_toSubmodule {S : NonUnitalSubalgebra R A} {f : F} :
-- TODO: introduce a better coercion from `NonUnitalAlgHomClass` to `LinearMap`
(map f S).toSubmodule = Submodule.map (LinearMapClass.linearMap f) S.toSubmodule :=
SetLike.coe_injective rfl
theorem map_toNonUnitalSubsemiring {S : NonUnitalSubalgebra R A} {f : F} :
(map f S).toNonUnitalSubsemiring = S.toNonUnitalSubsemiring.map (f : A →ₙ+* B) :=
SetLike.coe_injective rfl
@[simp]
theorem coe_map (S : NonUnitalSubalgebra R A) (f : F) : (map f S : Set B) = f '' S :=
rfl
/-- Preimage of a non-unital subalgebra under an algebra homomorphism. -/
def comap (f : F) (S : NonUnitalSubalgebra R B) : NonUnitalSubalgebra R A :=
{ S.toNonUnitalSubsemiring.comap (f : A →ₙ+* B) with
smul_mem' := fun r a (ha : f a ∈ S) =>
show f (r • a) ∈ S from (map_smulₛₗ f r a).symm ▸ SMulMemClass.smul_mem r ha }
theorem map_le {S : NonUnitalSubalgebra R A} {f : F} {U : NonUnitalSubalgebra R B} :
map f S ≤ U ↔ S ≤ comap f U :=
Set.image_subset_iff
theorem gc_map_comap (f : F) :
GaloisConnection (map f : NonUnitalSubalgebra R A → NonUnitalSubalgebra R B) (comap f) :=
fun _ _ => map_le
@[simp]
theorem mem_comap (S : NonUnitalSubalgebra R B) (f : F) (x : A) : x ∈ comap f S ↔ f x ∈ S :=
Iff.rfl
@[simp, norm_cast]
theorem coe_comap (S : NonUnitalSubalgebra R B) (f : F) : (comap f S : Set A) = f ⁻¹' (S : Set B) :=
rfl
instance noZeroDivisors {R A : Type*} [CommSemiring R] [NonUnitalSemiring A] [NoZeroDivisors A]
[Module R A] (S : NonUnitalSubalgebra R A) : NoZeroDivisors S :=
NonUnitalSubsemiringClass.noZeroDivisors S
end NonUnitalSubalgebra
namespace Submodule
variable {R A : Type*} [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A]
/-- A submodule closed under multiplication is a non-unital subalgebra. -/
def toNonUnitalSubalgebra (p : Submodule R A) (h_mul : ∀ x y, x ∈ p → y ∈ p → x * y ∈ p) :
NonUnitalSubalgebra R A :=
{ p with
mul_mem' := h_mul _ _ }
@[simp]
theorem mem_toNonUnitalSubalgebra {p : Submodule R A} {h_mul} {x} :
x ∈ p.toNonUnitalSubalgebra h_mul ↔ x ∈ p :=
Iff.rfl
@[simp]
theorem coe_toNonUnitalSubalgebra (p : Submodule R A) (h_mul) :
(p.toNonUnitalSubalgebra h_mul : Set A) = p :=
rfl
theorem toNonUnitalSubalgebra_mk (p : Submodule R A) hmul :
p.toNonUnitalSubalgebra hmul =
NonUnitalSubalgebra.mk ⟨⟨⟨p, p.add_mem⟩, p.zero_mem⟩, hmul _ _⟩ p.smul_mem' :=
rfl
@[simp]
theorem toNonUnitalSubalgebra_toSubmodule (p : Submodule R A) (h_mul) :
(p.toNonUnitalSubalgebra h_mul).toSubmodule = p :=
SetLike.coe_injective rfl
@[simp]
theorem _root_.NonUnitalSubalgebra.toSubmodule_toNonUnitalSubalgebra (S : NonUnitalSubalgebra R A) :
(S.toSubmodule.toNonUnitalSubalgebra fun _ _ => mul_mem (s := S)) = S :=
SetLike.coe_injective rfl
end Submodule
namespace NonUnitalAlgHom
variable {F : Type v'} {R' : Type u'} {R : Type u} {A : Type v} {B : Type w} {C : Type w'}
variable [CommSemiring R]
variable [NonUnitalNonAssocSemiring A] [Module R A] [NonUnitalNonAssocSemiring B] [Module R B]
variable [NonUnitalNonAssocSemiring C] [Module R C] [FunLike F A B] [NonUnitalAlgHomClass F R A B]
/-- Range of an `NonUnitalAlgHom` as a non-unital subalgebra. -/
protected def range (φ : F) : NonUnitalSubalgebra R B where
toNonUnitalSubsemiring := NonUnitalRingHom.srange (φ : A →ₙ+* B)
smul_mem' := fun r a => by rintro ⟨a, rfl⟩; exact ⟨r • a, map_smul φ r a⟩
@[simp]
theorem mem_range (φ : F) {y : B} :
y ∈ (NonUnitalAlgHom.range φ : NonUnitalSubalgebra R B) ↔ ∃ x : A, φ x = y :=
NonUnitalRingHom.mem_srange
theorem mem_range_self (φ : F) (x : A) :
φ x ∈ (NonUnitalAlgHom.range φ : NonUnitalSubalgebra R B) :=
(NonUnitalAlgHom.mem_range φ).2 ⟨x, rfl⟩
@[simp]
theorem coe_range (φ : F) :
((NonUnitalAlgHom.range φ : NonUnitalSubalgebra R B) : Set B) = Set.range (φ : A → B) := by
ext
rw [SetLike.mem_coe, mem_range]
rfl
theorem range_comp (f : A →ₙₐ[R] B) (g : B →ₙₐ[R] C) :
NonUnitalAlgHom.range (g.comp f) = (NonUnitalAlgHom.range f).map g :=
SetLike.coe_injective (Set.range_comp g f)
theorem range_comp_le_range (f : A →ₙₐ[R] B) (g : B →ₙₐ[R] C) :
NonUnitalAlgHom.range (g.comp f) ≤ NonUnitalAlgHom.range g :=
SetLike.coe_mono (Set.range_comp_subset_range f g)
/-- Restrict the codomain of a non-unital algebra homomorphism. -/
def codRestrict (f : F) (S : NonUnitalSubalgebra R B) (hf : ∀ x, f x ∈ S) : A →ₙₐ[R] S :=
{ NonUnitalRingHom.codRestrict (f : A →ₙ+* B) S.toNonUnitalSubsemiring hf with
map_smul' := fun r a => Subtype.ext <| map_smul f r a }
@[simp]
theorem subtype_comp_codRestrict (f : F) (S : NonUnitalSubalgebra R B) (hf : ∀ x : A, f x ∈ S) :
(NonUnitalSubalgebraClass.subtype S).comp (NonUnitalAlgHom.codRestrict f S hf) = f :=
rfl
@[simp]
theorem coe_codRestrict (f : F) (S : NonUnitalSubalgebra R B) (hf : ∀ x, f x ∈ S) (x : A) :
↑(NonUnitalAlgHom.codRestrict f S hf x) = f x :=
rfl
theorem injective_codRestrict (f : F) (S : NonUnitalSubalgebra R B) (hf : ∀ x : A, f x ∈ S) :
Function.Injective (NonUnitalAlgHom.codRestrict f S hf) ↔ Function.Injective f :=
⟨fun H _x _y hxy => H <| Subtype.eq hxy, fun H _x _y hxy => H (congr_arg Subtype.val hxy :)⟩
/-- Restrict the codomain of an `NonUnitalAlgHom` `f` to `f.range`.
This is the bundled version of `Set.rangeFactorization`. -/
abbrev rangeRestrict (f : F) : A →ₙₐ[R] (NonUnitalAlgHom.range f : NonUnitalSubalgebra R B) :=
NonUnitalAlgHom.codRestrict f (NonUnitalAlgHom.range f) (NonUnitalAlgHom.mem_range_self f)
/-- The equalizer of two non-unital `R`-algebra homomorphisms -/
def equalizer (ϕ ψ : F) : NonUnitalSubalgebra R A where
carrier := {a | (ϕ a : B) = ψ a}
zero_mem' := by rw [Set.mem_setOf_eq, map_zero, map_zero]
add_mem' {x y} (hx : ϕ x = ψ x) (hy : ϕ y = ψ y) := by
rw [Set.mem_setOf_eq, map_add, map_add, hx, hy]
mul_mem' {x y} (hx : ϕ x = ψ x) (hy : ϕ y = ψ y) := by
rw [Set.mem_setOf_eq, map_mul, map_mul, hx, hy]
smul_mem' r x (hx : ϕ x = ψ x) := by rw [Set.mem_setOf_eq, map_smul, map_smul, hx]
@[simp]
theorem mem_equalizer (φ ψ : F) (x : A) :
x ∈ NonUnitalAlgHom.equalizer φ ψ ↔ φ x = ψ x :=
Iff.rfl
/-- The range of a morphism of algebras is a fintype, if the domain is a fintype.
Note that this instance can cause a diamond with `Subtype.fintype` if `B` is also a fintype. -/
instance fintypeRange [Fintype A] [DecidableEq B] (φ : F) :
Fintype (NonUnitalAlgHom.range φ) :=
Set.fintypeRange φ
end NonUnitalAlgHom
namespace NonUnitalAlgebra
variable {F : Type*} (R : Type u) {A : Type v} {B : Type w}
variable [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A]
@[simp]
lemma span_eq_toSubmodule (s : NonUnitalSubalgebra R A) :
Submodule.span R (s : Set A) = s.toSubmodule := by
simp [SetLike.ext'_iff, Submodule.coe_span_eq_self]
variable [NonUnitalNonAssocSemiring B] [Module R B]
variable [FunLike F A B] [NonUnitalAlgHomClass F R A B]
section IsScalarTower
variable [IsScalarTower R A A] [SMulCommClass R A A]
/-- The minimal non-unital subalgebra that includes `s`. -/
def adjoin (s : Set A) : NonUnitalSubalgebra R A :=
{ Submodule.span R (NonUnitalSubsemiring.closure s : Set A) with
mul_mem' :=
@fun a b (ha : a ∈ Submodule.span R (NonUnitalSubsemiring.closure s : Set A))
(hb : b ∈ Submodule.span R (NonUnitalSubsemiring.closure s : Set A)) =>
show a * b ∈ Submodule.span R (NonUnitalSubsemiring.closure s : Set A) by
refine Submodule.span_induction ?_ ?_ ?_ ?_ ha
· refine Submodule.span_induction ?_ ?_ ?_ ?_ hb
· exact fun x (hx : x ∈ NonUnitalSubsemiring.closure s) y
(hy : y ∈ NonUnitalSubsemiring.closure s) => Submodule.subset_span (mul_mem hy hx)
· exact fun x _hx => (mul_zero x).symm ▸ Submodule.zero_mem _
· exact fun x y _ _ hx hy z hz => (mul_add z x y).symm ▸ add_mem (hx z hz) (hy z hz)
· exact fun r x _ hx y hy =>
(mul_smul_comm r y x).symm ▸ SMulMemClass.smul_mem r (hx y hy)
· exact (zero_mul b).symm ▸ Submodule.zero_mem _
· exact fun x y _ _ => (add_mul x y b).symm ▸ add_mem
· exact fun r x _ hx => (smul_mul_assoc r x b).symm ▸ SMulMemClass.smul_mem r hx }
theorem adjoin_toSubmodule (s : Set A) :
(adjoin R s).toSubmodule = Submodule.span R (NonUnitalSubsemiring.closure s : Set A) :=
rfl
@[aesop safe 20 apply (rule_sets := [SetLike])]
theorem subset_adjoin {s : Set A} : s ⊆ adjoin R s :=
NonUnitalSubsemiring.subset_closure.trans Submodule.subset_span
theorem self_mem_adjoin_singleton (x : A) : x ∈ adjoin R ({x} : Set A) :=
NonUnitalAlgebra.subset_adjoin R (Set.mem_singleton x)
variable {R}
protected theorem gc : GaloisConnection (adjoin R : Set A → NonUnitalSubalgebra R A) (↑) :=
fun s S =>
⟨fun H => (NonUnitalSubsemiring.subset_closure.trans Submodule.subset_span).trans H,
fun H => show Submodule.span R _ ≤ S.toSubmodule from Submodule.span_le.mpr <|
show NonUnitalSubsemiring.closure s ≤ S.toNonUnitalSubsemiring from
NonUnitalSubsemiring.closure_le.2 H⟩
/-- Galois insertion between `adjoin` and `Subtype.val`. -/
protected def gi : GaloisInsertion (adjoin R : Set A → NonUnitalSubalgebra R A) (↑) where
choice s hs := (adjoin R s).copy s <| le_antisymm (NonUnitalAlgebra.gc.le_u_l s) hs
gc := NonUnitalAlgebra.gc
le_l_u S := (NonUnitalAlgebra.gc (S : Set A) (adjoin R S)).1 <| le_rfl
choice_eq _ _ := NonUnitalSubalgebra.copy_eq _ _ _
instance : CompleteLattice (NonUnitalSubalgebra R A) :=
GaloisInsertion.liftCompleteLattice NonUnitalAlgebra.gi
theorem adjoin_le {S : NonUnitalSubalgebra R A} {s : Set A} (hs : s ⊆ S) : adjoin R s ≤ S :=
NonUnitalAlgebra.gc.l_le hs
theorem adjoin_le_iff {S : NonUnitalSubalgebra R A} {s : Set A} : adjoin R s ≤ S ↔ s ⊆ S :=
NonUnitalAlgebra.gc _ _
theorem adjoin_union (s t : Set A) : adjoin R (s ∪ t) = adjoin R s ⊔ adjoin R t :=
(NonUnitalAlgebra.gc : GaloisConnection _ ((↑) : NonUnitalSubalgebra R A → Set A)).l_sup
lemma adjoin_eq (s : NonUnitalSubalgebra R A) : adjoin R (s : Set A) = s :=
le_antisymm (adjoin_le le_rfl) (subset_adjoin R)
/-- If some predicate holds for all `x ∈ (s : Set A)` and this predicate is closed under the
`algebraMap`, addition, multiplication and star operations, then it holds for `a ∈ adjoin R s`. -/
@[elab_as_elim]
theorem adjoin_induction {s : Set A} {p : (x : A) → x ∈ adjoin R s → Prop}
(mem : ∀ (x) (hx : x ∈ s), p x (subset_adjoin R hx))
(add : ∀ x y hx hy, p x hx → p y hy → p (x + y) (add_mem hx hy)) (zero : p 0 (zero_mem _))
(mul : ∀ x y hx hy, p x hx → p y hy → p (x * y) (mul_mem hx hy))
(smul : ∀ r x hx, p x hx → p (r • x) (SMulMemClass.smul_mem r hx))
{x} (hx : x ∈ adjoin R s) : p x hx :=
let S : NonUnitalSubalgebra R A :=
{ carrier := { x | ∃ hx, p x hx }
mul_mem' := (Exists.elim · fun _ ha ↦ (Exists.elim · fun _ hb ↦ ⟨_, mul _ _ _ _ ha hb⟩))
add_mem' := (Exists.elim · fun _ ha ↦ (Exists.elim · fun _ hb ↦ ⟨_, add _ _ _ _ ha hb⟩))
smul_mem' := fun r ↦ (Exists.elim · fun _ hb ↦ ⟨_, smul r _ _ hb⟩)
zero_mem' := ⟨_, zero⟩ }
adjoin_le (S := S) (fun y hy ↦ ⟨subset_adjoin R hy, mem y hy⟩) hx |>.elim fun _ ↦ id
@[elab_as_elim]
theorem adjoin_induction₂ {s : Set A} {p : ∀ x y, x ∈ adjoin R s → y ∈ adjoin R s → Prop}
(mem_mem : ∀ (x) (y) (hx : x ∈ s) (hy : y ∈ s), p x y (subset_adjoin R hx) (subset_adjoin R hy))
(zero_left : ∀ x hx, p 0 x (zero_mem _) hx) (zero_right : ∀ x hx, p x 0 hx (zero_mem _))
(add_left : ∀ x y z hx hy hz, p x z hx hz → p y z hy hz → p (x + y) z (add_mem hx hy) hz)
(add_right : ∀ x y z hx hy hz, p x y hx hy → p x z hx hz → p x (y + z) hx (add_mem hy hz))
(mul_left : ∀ x y z hx hy hz, p x z hx hz → p y z hy hz → p (x * y) z (mul_mem hx hy) hz)
(mul_right : ∀ x y z hx hy hz, p x y hx hy → p x z hx hz → p x (y * z) hx (mul_mem hy hz))
(smul_left : ∀ r x y hx hy, p x y hx hy → p (r • x) y (SMulMemClass.smul_mem r hx) hy)
(smul_right : ∀ r x y hx hy, p x y hx hy → p x (r • y) hx (SMulMemClass.smul_mem r hy))
{x y : A} (hx : x ∈ adjoin R s) (hy : y ∈ adjoin R s) :
p x y hx hy := by
induction hy using adjoin_induction with
| mem z hz =>
induction hx using adjoin_induction with
| mem _ h => exact mem_mem _ _ h hz
| zero => exact zero_left _ _
| mul _ _ _ _ h₁ h₂ => exact mul_left _ _ _ _ _ _ h₁ h₂
| add _ _ _ _ h₁ h₂ => exact add_left _ _ _ _ _ _ h₁ h₂
| smul _ _ _ h => exact smul_left _ _ _ _ _ h
| zero => exact zero_right x hx
| mul _ _ _ _ h₁ h₂ => exact mul_right _ _ _ _ _ _ h₁ h₂
| add _ _ _ _ h₁ h₂ => exact add_right _ _ _ _ _ _ h₁ h₂
| smul _ _ _ h => exact smul_right _ _ _ _ _ h
open Submodule in
lemma adjoin_eq_span (s : Set A) : (adjoin R s).toSubmodule = span R (Subsemigroup.closure s) := by
apply le_antisymm
· intro x hx
induction hx using adjoin_induction with
| mem x hx => exact subset_span <| Subsemigroup.subset_closure hx
| add x y _ _ hpx hpy => exact add_mem hpx hpy
| zero => exact zero_mem _
| mul x y _ _ hpx hpy =>
apply span_induction₂ ?Hs (by simp) (by simp) ?Hadd_l ?Hadd_r ?Hsmul_l ?Hsmul_r hpx hpy
case Hs => exact fun x y hx hy ↦ subset_span <| mul_mem hx hy
case Hadd_l => exact fun x y z _ _ _ hxz hyz ↦ by simpa [add_mul] using add_mem hxz hyz
case Hadd_r => exact fun x y z _ _ _ hxz hyz ↦ by simpa [mul_add] using add_mem hxz hyz
case Hsmul_l => exact fun r x y _ _ hxy ↦ by simpa [smul_mul_assoc] using smul_mem _ _ hxy
case Hsmul_r => exact fun r x y _ _ hxy ↦ by simpa [mul_smul_comm] using smul_mem _ _ hxy
| smul r x _ hpx => exact smul_mem _ _ hpx
· apply span_le.2 _
show Subsemigroup.closure s ≤ (adjoin R s).toSubsemigroup
exact Subsemigroup.closure_le.2 (subset_adjoin R)
variable (R A)
@[simp]
theorem adjoin_empty : adjoin R (∅ : Set A) = ⊥ :=
show adjoin R ⊥ = ⊥ by apply GaloisConnection.l_bot; exact NonUnitalAlgebra.gc
@[simp]
theorem adjoin_univ : adjoin R (Set.univ : Set A) = ⊤ :=
eq_top_iff.2 fun _x hx => subset_adjoin R hx
open NonUnitalSubalgebra in
lemma _root_.NonUnitalAlgHom.map_adjoin [IsScalarTower R B B] [SMulCommClass R B B]
(f : F) (s : Set A) : map f (adjoin R s) = adjoin R (f '' s) :=
Set.image_preimage.l_comm_of_u_comm (gc_map_comap f) NonUnitalAlgebra.gi.gc
NonUnitalAlgebra.gi.gc fun _t => rfl
open NonUnitalSubalgebra in
@[simp]
lemma _root_.NonUnitalAlgHom.map_adjoin_singleton [IsScalarTower R B B] [SMulCommClass R B B]
(f : F) (x : A) : map f (adjoin R {x}) = adjoin R {f x} := by
simp [NonUnitalAlgHom.map_adjoin]
variable {R A}
@[simp]
theorem coe_top : (↑(⊤ : NonUnitalSubalgebra R A) : Set A) = Set.univ :=
rfl
@[simp]
theorem mem_top {x : A} : x ∈ (⊤ : NonUnitalSubalgebra R A) :=
Set.mem_univ x
@[simp]
theorem top_toSubmodule : (⊤ : NonUnitalSubalgebra R A).toSubmodule = ⊤ :=
rfl
@[simp]
theorem top_toNonUnitalSubsemiring : (⊤ : NonUnitalSubalgebra R A).toNonUnitalSubsemiring = ⊤ :=
rfl
@[simp]
theorem top_toSubring {R A : Type*} [CommRing R] [NonUnitalNonAssocRing A] [Module R A]
[IsScalarTower R A A] [SMulCommClass R A A] :
(⊤ : NonUnitalSubalgebra R A).toNonUnitalSubring = ⊤ :=
rfl
@[simp]
theorem toSubmodule_eq_top {S : NonUnitalSubalgebra R A} : S.toSubmodule = ⊤ ↔ S = ⊤ :=
NonUnitalSubalgebra.toSubmodule'.injective.eq_iff' top_toSubmodule
@[simp]
theorem toNonUnitalSubsemiring_eq_top {S : NonUnitalSubalgebra R A} :
S.toNonUnitalSubsemiring = ⊤ ↔ S = ⊤ :=
NonUnitalSubalgebra.toNonUnitalSubsemiring_injective.eq_iff' top_toNonUnitalSubsemiring
@[simp]
theorem to_subring_eq_top {R A : Type*} [CommRing R] [Ring A] [Algebra R A]
{S : NonUnitalSubalgebra R A} : S.toNonUnitalSubring = ⊤ ↔ S = ⊤ :=
NonUnitalSubalgebra.toNonUnitalSubring_injective.eq_iff' top_toSubring
theorem mem_sup_left {S T : NonUnitalSubalgebra R A} : ∀ {x : A}, x ∈ S → x ∈ S ⊔ T := by
rw [← SetLike.le_def]
exact le_sup_left
theorem mem_sup_right {S T : NonUnitalSubalgebra R A} : ∀ {x : A}, x ∈ T → x ∈ S ⊔ T := by
rw [← SetLike.le_def]
exact le_sup_right
theorem mul_mem_sup {S T : NonUnitalSubalgebra R A} {x y : A} (hx : x ∈ S) (hy : y ∈ T) :
x * y ∈ S ⊔ T :=
mul_mem (mem_sup_left hx) (mem_sup_right hy)
theorem map_sup [IsScalarTower R B B] [SMulCommClass R B B]
(f : F) (S T : NonUnitalSubalgebra R A) :
((S ⊔ T).map f : NonUnitalSubalgebra R B) = S.map f ⊔ T.map f :=
(NonUnitalSubalgebra.gc_map_comap f).l_sup
theorem map_inf [IsScalarTower R B B] [SMulCommClass R B B]
(f : F) (hf : Function.Injective f) (S T : NonUnitalSubalgebra R A) :
((S ⊓ T).map f : NonUnitalSubalgebra R B) = S.map f ⊓ T.map f :=
SetLike.coe_injective (Set.image_inter hf)
@[simp, norm_cast]
theorem coe_inf (S T : NonUnitalSubalgebra R A) : (↑(S ⊓ T) : Set A) = (S : Set A) ∩ T :=
rfl
@[simp]
theorem mem_inf {S T : NonUnitalSubalgebra R A} {x : A} : x ∈ S ⊓ T ↔ x ∈ S ∧ x ∈ T :=
Iff.rfl
@[simp]
theorem inf_toSubmodule (S T : NonUnitalSubalgebra R A) :
(S ⊓ T).toSubmodule = S.toSubmodule ⊓ T.toSubmodule :=
rfl
@[simp]
theorem inf_toNonUnitalSubsemiring (S T : NonUnitalSubalgebra R A) :
(S ⊓ T).toNonUnitalSubsemiring = S.toNonUnitalSubsemiring ⊓ T.toNonUnitalSubsemiring :=
rfl
@[simp, norm_cast]
theorem coe_sInf (S : Set (NonUnitalSubalgebra R A)) : (↑(sInf S) : Set A) = ⋂ s ∈ S, ↑s :=
sInf_image
theorem mem_sInf {S : Set (NonUnitalSubalgebra R A)} {x : A} : x ∈ sInf S ↔ ∀ p ∈ S, x ∈ p := by
simp only [← SetLike.mem_coe, coe_sInf, Set.mem_iInter₂]
@[simp]
theorem sInf_toSubmodule (S : Set (NonUnitalSubalgebra R A)) :
(sInf S).toSubmodule = sInf (NonUnitalSubalgebra.toSubmodule '' S) :=
SetLike.coe_injective <| by simp
@[simp]
theorem sInf_toNonUnitalSubsemiring (S : Set (NonUnitalSubalgebra R A)) :
(sInf S).toNonUnitalSubsemiring = sInf (NonUnitalSubalgebra.toNonUnitalSubsemiring '' S) :=
SetLike.coe_injective <| by simp
@[simp, norm_cast]
theorem coe_iInf {ι : Sort*} {S : ι → NonUnitalSubalgebra R A} :
(↑(⨅ i, S i) : Set A) = ⋂ i, S i := by simp [iInf]
theorem mem_iInf {ι : Sort*} {S : ι → NonUnitalSubalgebra R A} {x : A} :
(x ∈ ⨅ i, S i) ↔ ∀ i, x ∈ S i := by simp only [iInf, mem_sInf, Set.forall_mem_range]
theorem map_iInf {ι : Sort*} [Nonempty ι]
[IsScalarTower R B B] [SMulCommClass R B B] (f : F)
(hf : Function.Injective f) (S : ι → NonUnitalSubalgebra R A) :
((⨅ i, S i).map f : NonUnitalSubalgebra R B) = ⨅ i, (S i).map f := by
apply SetLike.coe_injective
simpa using (Set.injOn_of_injective hf).image_iInter_eq (s := SetLike.coe ∘ S)
@[simp]
theorem iInf_toSubmodule {ι : Sort*} (S : ι → NonUnitalSubalgebra R A) :
(⨅ i, S i).toSubmodule = ⨅ i, (S i).toSubmodule :=
SetLike.coe_injective <| by simp
instance : Inhabited (NonUnitalSubalgebra R A) :=
⟨⊥⟩
theorem mem_bot {x : A} : x ∈ (⊥ : NonUnitalSubalgebra R A) ↔ x = 0 :=
show x ∈ Submodule.span R (NonUnitalSubsemiring.closure (∅ : Set A) : Set A) ↔ x = 0 by
rw [NonUnitalSubsemiring.closure_empty, NonUnitalSubsemiring.coe_bot,
Submodule.span_zero_singleton, Submodule.mem_bot]
theorem toSubmodule_bot : (⊥ : NonUnitalSubalgebra R A).toSubmodule = ⊥ := by
ext
simp only [mem_bot, NonUnitalSubalgebra.mem_toSubmodule, Submodule.mem_bot]
@[simp]
theorem coe_bot : ((⊥ : NonUnitalSubalgebra R A) : Set A) = {0} := by
simp [Set.ext_iff, NonUnitalAlgebra.mem_bot]
theorem eq_top_iff {S : NonUnitalSubalgebra R A} : S = ⊤ ↔ ∀ x : A, x ∈ S :=
⟨fun h x => by rw [h]; exact mem_top, fun h => by ext x; exact ⟨fun _ => mem_top, fun _ => h x⟩⟩
@[simp]
theorem range_id : NonUnitalAlgHom.range (NonUnitalAlgHom.id R A) = ⊤ :=
SetLike.coe_injective Set.range_id
@[simp]
theorem map_top (f : A →ₙₐ[R] B) : (⊤ : NonUnitalSubalgebra R A).map f = NonUnitalAlgHom.range f :=
SetLike.coe_injective Set.image_univ
@[simp]
theorem map_bot [IsScalarTower R B B] [SMulCommClass R B B]
(f : A →ₙₐ[R] B) : (⊥ : NonUnitalSubalgebra R A).map f = ⊥ :=
SetLike.coe_injective <| by simp [NonUnitalAlgebra.coe_bot, NonUnitalSubalgebra.coe_map]
@[simp]
theorem comap_top [IsScalarTower R B B] [SMulCommClass R B B]
(f : A →ₙₐ[R] B) : (⊤ : NonUnitalSubalgebra R B).comap f = ⊤ :=
eq_top_iff.2 fun _ => mem_top
/-- `NonUnitalAlgHom` to `⊤ : NonUnitalSubalgebra R A`. -/
def toTop : A →ₙₐ[R] (⊤ : NonUnitalSubalgebra R A) :=
NonUnitalAlgHom.codRestrict (NonUnitalAlgHom.id R A) ⊤ fun _ => mem_top
end IsScalarTower
theorem range_eq_top [IsScalarTower R B B] [SMulCommClass R B B] (f : A →ₙₐ[R] B) :
NonUnitalAlgHom.range f = (⊤ : NonUnitalSubalgebra R B) ↔ Function.Surjective f :=
NonUnitalAlgebra.eq_top_iff
@[deprecated (since := "2024-11-11")] alias range_top_iff_surjective := range_eq_top
end NonUnitalAlgebra
namespace NonUnitalSubalgebra
open NonUnitalAlgebra
section NonAssoc
variable {R : Type u} {A : Type v} {B : Type w}
variable [CommSemiring R]
variable [NonUnitalNonAssocSemiring A] [Module R A]
variable (S : NonUnitalSubalgebra R A)
theorem range_val : NonUnitalAlgHom.range (NonUnitalSubalgebraClass.subtype S) = S :=
ext <| Set.ext_iff.1 <|
(NonUnitalAlgHom.coe_range <| NonUnitalSubalgebraClass.subtype S).trans Subtype.range_val
instance subsingleton_of_subsingleton [Subsingleton A] : Subsingleton (NonUnitalSubalgebra R A) :=
⟨fun B C => ext fun x => by simp only [Subsingleton.elim x 0, zero_mem B, zero_mem C]⟩
variable [NonUnitalNonAssocSemiring B] [Module R B]
section Prod
variable (S₁ : NonUnitalSubalgebra R B)
/-- The product of two non-unital subalgebras is a non-unital subalgebra. -/
def prod : NonUnitalSubalgebra R (A × B) :=
{ S.toNonUnitalSubsemiring.prod S₁.toNonUnitalSubsemiring with
carrier := S ×ˢ S₁
smul_mem' := fun r _x hx => ⟨SMulMemClass.smul_mem r hx.1, SMulMemClass.smul_mem r hx.2⟩ }
@[simp]
theorem coe_prod : (prod S S₁ : Set (A × B)) = (S : Set A) ×ˢ S₁ :=
rfl
theorem prod_toSubmodule : (S.prod S₁).toSubmodule = S.toSubmodule.prod S₁.toSubmodule :=
rfl
@[simp]
theorem mem_prod {S : NonUnitalSubalgebra R A} {S₁ : NonUnitalSubalgebra R B} {x : A × B} :
x ∈ prod S S₁ ↔ x.1 ∈ S ∧ x.2 ∈ S₁ :=
Set.mem_prod
variable [IsScalarTower R A A] [SMulCommClass R A A] [IsScalarTower R B B] [SMulCommClass R B B]
@[simp]
theorem prod_top : (prod ⊤ ⊤ : NonUnitalSubalgebra R (A × B)) = ⊤ := by ext; simp
theorem prod_mono {S T : NonUnitalSubalgebra R A} {S₁ T₁ : NonUnitalSubalgebra R B} :
S ≤ T → S₁ ≤ T₁ → prod S S₁ ≤ prod T T₁ :=
Set.prod_mono
@[simp]
theorem prod_inf_prod {S T : NonUnitalSubalgebra R A} {S₁ T₁ : NonUnitalSubalgebra R B} :
S.prod S₁ ⊓ T.prod T₁ = (S ⊓ T).prod (S₁ ⊓ T₁) :=
SetLike.coe_injective Set.prod_inter_prod
end Prod
variable [IsScalarTower R A A] [SMulCommClass R A A]
instance _root_.NonUnitalAlgHom.subsingleton [Subsingleton (NonUnitalSubalgebra R A)] :
Subsingleton (A →ₙₐ[R] B) :=
⟨fun f g =>
NonUnitalAlgHom.ext fun a =>
have : a ∈ (⊥ : NonUnitalSubalgebra R A) :=
Subsingleton.elim (⊤ : NonUnitalSubalgebra R A) ⊥ ▸ mem_top
(mem_bot.mp this).symm ▸ (map_zero f).trans (map_zero g).symm⟩
/-- The map `S → T` when `S` is a non-unital subalgebra contained in the non-unital subalgebra `T`.
This is the non-unital subalgebra version of `Submodule.inclusion`, or `Subring.inclusion` -/
def inclusion {S T : NonUnitalSubalgebra R A} (h : S ≤ T) : S →ₙₐ[R] T where
toFun := Set.inclusion h
map_add' _ _ := rfl
map_mul' _ _ := rfl
map_zero' := rfl
map_smul' _ _ := rfl
theorem inclusion_injective {S T : NonUnitalSubalgebra R A} (h : S ≤ T) :
Function.Injective (inclusion h) := fun _ _ => Subtype.ext ∘ Subtype.mk.inj
@[simp]
theorem inclusion_self {S : NonUnitalSubalgebra R A} :
inclusion (le_refl S) = NonUnitalAlgHom.id R S :=
rfl
@[simp]
theorem inclusion_mk {S T : NonUnitalSubalgebra R A} (h : S ≤ T) (x : A) (hx : x ∈ S) :
inclusion h ⟨x, hx⟩ = ⟨x, h hx⟩ :=
rfl
theorem inclusion_right {S T : NonUnitalSubalgebra R A} (h : S ≤ T) (x : T) (m : (x : A) ∈ S) :
inclusion h ⟨x, m⟩ = x :=
Subtype.ext rfl
@[simp]
theorem inclusion_inclusion {S T U : NonUnitalSubalgebra R A} (hst : S ≤ T) (htu : T ≤ U) (x : S) :
inclusion htu (inclusion hst x) = inclusion (le_trans hst htu) x :=
Subtype.ext rfl
@[simp]
theorem coe_inclusion {S T : NonUnitalSubalgebra R A} (h : S ≤ T) (s : S) :
(inclusion h s : A) = s :=
rfl
section SuprLift
| variable {ι : Type*}
theorem coe_iSup_of_directed [Nonempty ι] {S : ι → NonUnitalSubalgebra R A}
(dir : Directed (· ≤ ·) S) : ↑(iSup S) = ⋃ i, (S i : Set A) :=
let K : NonUnitalSubalgebra R A :=
{ __ := NonUnitalSubsemiring.copy _ _ (NonUnitalSubsemiring.coe_iSup_of_directed dir).symm
| Mathlib/Algebra/Algebra/NonUnitalSubalgebra.lean | 971 | 976 |
/-
Copyright (c) 2020 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison
-/
import Mathlib.Algebra.Algebra.Basic
import Mathlib.Algebra.CharP.Defs
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.Algebra.Polynomial.Eval.Algebra
import Mathlib.Tactic.Abel
/-!
# 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]`.
In an integral domain `S`, we show that `ascPochhammer S n` is zero iff
`n` is a sufficiently large non-positive integer.
## TODO
There is lots more in this direction:
* q-factorials, q-binomials, q-Pochhammer.
-/
universe u v
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)
@[simp]
theorem ascPochhammer_zero : ascPochhammer S 0 = 1 :=
rfl
@[simp]
theorem ascPochhammer_one : ascPochhammer S 1 = X := by simp [ascPochhammer]
theorem ascPochhammer_succ_left (n : ℕ) :
ascPochhammer S (n + 1) = X * (ascPochhammer S n).comp (X + 1) := by
rw [ascPochhammer]
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
| zero => simp
| succ n ih => simp [ih, ascPochhammer_succ_left, map_comp]
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]
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]
theorem ascPochhammer_zero_eval_zero : (ascPochhammer S 0).eval 0 = 1 := by simp
@[simp]
theorem ascPochhammer_ne_zero_eval_zero {n : ℕ} (h : n ≠ 0) : (ascPochhammer S n).eval 0 = 0 := by
simp [ascPochhammer_eval_zero, h]
theorem ascPochhammer_succ_right (n : ℕ) :
ascPochhammer S (n + 1) = ascPochhammer S n * (X + (n : S[X])) := by
suffices h : ascPochhammer ℕ (n + 1) = ascPochhammer ℕ n * (X + (n : ℕ[X])) by
apply_fun Polynomial.map (algebraMap ℕ S) at h
simpa only [ascPochhammer_map, Polynomial.map_mul, Polynomial.map_add, map_X,
Polynomial.map_natCast] using h
induction n with
| zero => simp
| succ n ih =>
conv_lhs =>
rw [ascPochhammer_succ_left, ih, mul_comp, ← mul_assoc, ← ascPochhammer_succ_left, add_comp,
X_comp, natCast_comp, add_assoc, add_comm (1 : ℕ[X]), ← Nat.cast_succ]
theorem ascPochhammer_succ_eval {S : Type*} [Semiring S] (n : ℕ) (k : S) :
(ascPochhammer S (n + 1)).eval k = (ascPochhammer S n).eval k * (k + n) := by
rw [ascPochhammer_succ_right, mul_add, eval_add, eval_mul_X, ← Nat.cast_comm, ← C_eq_natCast,
eval_C_mul, Nat.cast_comm, ← mul_add]
theorem ascPochhammer_succ_comp_X_add_one (n : ℕ) :
(ascPochhammer S (n + 1)).comp (X + 1) =
ascPochhammer S (n + 1) + (n + 1) • (ascPochhammer S n).comp (X + 1) := by
suffices (ascPochhammer ℕ (n + 1)).comp (X + 1) =
ascPochhammer ℕ (n + 1) + (n + 1) * (ascPochhammer ℕ n).comp (X + 1)
by simpa [map_comp] using congr_arg (Polynomial.map (Nat.castRingHom S)) this
nth_rw 2 [ascPochhammer_succ_left]
rw [← add_mul, ascPochhammer_succ_right ℕ n, mul_comp, mul_comm, add_comp, X_comp, natCast_comp,
add_comm, ← add_assoc]
ring
theorem ascPochhammer_mul (n m : ℕ) :
ascPochhammer S n * (ascPochhammer S m).comp (X + (n : S[X])) = ascPochhammer S (n + m) := by
induction' m with m ih
· simp
· rw [ascPochhammer_succ_right, Polynomial.mul_X_add_natCast_comp, ← mul_assoc, ih,
← add_assoc, ascPochhammer_succ_right, Nat.cast_add, add_assoc]
theorem ascPochhammer_nat_eq_ascFactorial (n : ℕ) :
∀ k, (ascPochhammer ℕ k).eval n = n.ascFactorial k
| 0 => by rw [ascPochhammer_zero, eval_one, Nat.ascFactorial_zero]
| t + 1 => by
rw [ascPochhammer_succ_right, eval_mul, ascPochhammer_nat_eq_ascFactorial n t, eval_add, eval_X,
eval_natCast, Nat.cast_id, Nat.ascFactorial_succ, mul_comm]
| theorem ascPochhammer_nat_eq_natCast_ascFactorial (S : Type*) [Semiring S] (n k : ℕ) :
(ascPochhammer S k).eval (n : S) = n.ascFactorial k := by
norm_cast
rw [ascPochhammer_nat_eq_ascFactorial]
theorem ascPochhammer_nat_eq_descFactorial (a b : ℕ) :
| Mathlib/RingTheory/Polynomial/Pochhammer.lean | 156 | 161 |
/-
Copyright (c) 2021 Frédéric Dupuis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Frédéric Dupuis
-/
import Mathlib.Algebra.Group.Subgroup.Defs
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Star.Pi
import Mathlib.Algebra.Star.Rat
/-!
# Self-adjoint, skew-adjoint and normal elements of a star additive group
This file defines `selfAdjoint R` (resp. `skewAdjoint R`), where `R` is a star additive group,
as the additive subgroup containing the elements that satisfy `star x = x` (resp. `star x = -x`).
This includes, for instance, (skew-)Hermitian operators on Hilbert spaces.
We also define `IsStarNormal R`, a `Prop` that states that an element `x` satisfies
`star x * x = x * star x`.
## Implementation notes
* When `R` is a `StarModule R₂ R`, then `selfAdjoint R` has a natural
`Module (selfAdjoint R₂) (selfAdjoint R)` structure. However, doing this literally would be
undesirable since in the main case of interest (`R₂ = ℂ`) we want `Module ℝ (selfAdjoint R)`
and not `Module (selfAdjoint ℂ) (selfAdjoint R)`. We solve this issue by adding the typeclass
`[TrivialStar R₃]`, of which `ℝ` is an instance (registered in `Data/Real/Basic`), and then
add a `[Module R₃ (selfAdjoint R)]` instance whenever we have
`[Module R₃ R] [TrivialStar R₃]`. (Another approach would have been to define
`[StarInvariantScalars R₃ R]` to express the fact that `star (x • v) = x • star v`, but
this typeclass would have the disadvantage of taking two type arguments.)
## TODO
* Define `IsSkewAdjoint` to match `IsSelfAdjoint`.
* Define `fun z x => z * x * star z` (i.e. conjugation by `z`) as a monoid action of `R` on `R`
(similar to the existing `ConjAct` for groups), and then state the fact that `selfAdjoint R` is
invariant under it.
-/
open Function
variable {R A : Type*}
/-- An element is self-adjoint if it is equal to its star. -/
def IsSelfAdjoint [Star R] (x : R) : Prop :=
star x = x
/-- An element of a star monoid is normal if it commutes with its adjoint. -/
@[mk_iff]
class IsStarNormal [Mul R] [Star R] (x : R) : Prop where
/-- A normal element of a star monoid commutes with its adjoint. -/
star_comm_self : Commute (star x) x
export IsStarNormal (star_comm_self)
theorem star_comm_self' [Mul R] [Star R] (x : R) [IsStarNormal x] : star x * x = x * star x :=
IsStarNormal.star_comm_self
namespace IsSelfAdjoint
-- named to match `Commute.allₓ`
/-- All elements are self-adjoint when `star` is trivial. -/
theorem all [Star R] [TrivialStar R] (r : R) : IsSelfAdjoint r :=
star_trivial _
theorem star_eq [Star R] {x : R} (hx : IsSelfAdjoint x) : star x = x :=
hx
theorem _root_.isSelfAdjoint_iff [Star R] {x : R} : IsSelfAdjoint x ↔ star x = x :=
Iff.rfl
@[simp]
theorem star_iff [InvolutiveStar R] {x : R} : IsSelfAdjoint (star x) ↔ IsSelfAdjoint x := by
simpa only [IsSelfAdjoint, star_star] using eq_comm
@[simp]
theorem star_mul_self [Mul R] [StarMul R] (x : R) : IsSelfAdjoint (star x * x) := by
simp only [IsSelfAdjoint, star_mul, star_star]
@[simp]
theorem mul_star_self [Mul R] [StarMul R] (x : R) : IsSelfAdjoint (x * star x) := by
simpa only [star_star] using star_mul_self (star x)
/-- Self-adjoint elements commute if and only if their product is self-adjoint. -/
lemma commute_iff {R : Type*} [Mul R] [StarMul R] {x y : R}
(hx : IsSelfAdjoint x) (hy : IsSelfAdjoint y) : Commute x y ↔ IsSelfAdjoint (x * y) := by
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· rw [isSelfAdjoint_iff, star_mul, hx.star_eq, hy.star_eq, h.eq]
· simpa only [star_mul, hx.star_eq, hy.star_eq] using h.symm
/-- Functions in a `StarHomClass` preserve self-adjoint elements. -/
@[aesop 10% apply]
theorem map {F R S : Type*} [Star R] [Star S] [FunLike F R S] [StarHomClass F R S]
{x : R} (hx : IsSelfAdjoint x) (f : F) : IsSelfAdjoint (f x) :=
show star (f x) = f x from map_star f x ▸ congr_arg f hx
/- note: this lemma is *not* marked as `simp` so that Lean doesn't look for a `[TrivialStar R]`
instance every time it sees `⊢ IsSelfAdjoint (f x)`, which will likely occur relatively often. -/
theorem _root_.isSelfAdjoint_map {F R S : Type*} [Star R] [Star S] [FunLike F R S]
[StarHomClass F R S] [TrivialStar R] (f : F) (x : R) : IsSelfAdjoint (f x) :=
(IsSelfAdjoint.all x).map f
section AddMonoid
variable [AddMonoid R] [StarAddMonoid R]
variable (R) in
@[simp] protected theorem zero : IsSelfAdjoint (0 : R) := star_zero R
@[aesop 90% apply]
theorem add {x y : R} (hx : IsSelfAdjoint x) (hy : IsSelfAdjoint y) : IsSelfAdjoint (x + y) := by
simp only [isSelfAdjoint_iff, star_add, hx.star_eq, hy.star_eq]
end AddMonoid
section AddGroup
variable [AddGroup R] [StarAddMonoid R]
@[aesop safe apply]
theorem neg {x : R} (hx : IsSelfAdjoint x) : IsSelfAdjoint (-x) := by
simp only [isSelfAdjoint_iff, star_neg, hx.star_eq]
@[aesop 90% apply]
theorem sub {x y : R} (hx : IsSelfAdjoint x) (hy : IsSelfAdjoint y) : IsSelfAdjoint (x - y) := by
simp only [isSelfAdjoint_iff, star_sub, hx.star_eq, hy.star_eq]
end AddGroup
section AddCommMonoid
variable [AddCommMonoid R] [StarAddMonoid R]
@[simp]
theorem add_star_self (x : R) : IsSelfAdjoint (x + star x) := by
simp only [isSelfAdjoint_iff, add_comm, star_add, star_star]
@[simp]
theorem star_add_self (x : R) : IsSelfAdjoint (star x + x) := by
simp only [isSelfAdjoint_iff, add_comm, star_add, star_star]
end AddCommMonoid
section Semigroup
variable [Semigroup R] [StarMul R]
@[aesop safe apply]
theorem conjugate {x : R} (hx : IsSelfAdjoint x) (z : R) : IsSelfAdjoint (z * x * star z) := by
simp only [isSelfAdjoint_iff, star_mul, star_star, mul_assoc, hx.star_eq]
@[aesop safe apply]
theorem conjugate' {x : R} (hx : IsSelfAdjoint x) (z : R) : IsSelfAdjoint (star z * x * z) := by
| simp only [isSelfAdjoint_iff, star_mul, star_star, mul_assoc, hx.star_eq]
| Mathlib/Algebra/Star/SelfAdjoint.lean | 156 | 157 |
/-
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.FreeAlgebra
import Mathlib.RingTheory.Adjoin.Polynomial
import Mathlib.RingTheory.Adjoin.Tower
import Mathlib.RingTheory.Ideal.Quotient.Operations
import Mathlib.RingTheory.Noetherian.Orzech
/-!
# Finiteness conditions in commutative algebra
In this file we define a notion of finiteness that is common in commutative algebra.
## Main declarations
- `Algebra.FiniteType`, `RingHom.FiniteType`, `AlgHom.FiniteType`
all of these express that some object is finitely generated *as algebra* over some base ring.
-/
open Function (Surjective)
open Polynomial
section ModuleAndAlgebra
universe uR uS uA uB uM uN
variable (R : Type uR) (S : Type uS) (A : Type uA) (B : Type uB) (M : Type uM) (N : Type uN)
/-- An algebra over a commutative semiring is of `FiniteType` if it is finitely generated
over the base ring as algebra. -/
class Algebra.FiniteType [CommSemiring R] [Semiring A] [Algebra R A] : Prop where
out : (⊤ : Subalgebra R A).FG
namespace Module
variable [Semiring R] [AddCommMonoid M] [Module R M] [AddCommMonoid N] [Module R N]
namespace Finite
open Submodule Set
variable {R S M N}
section Algebra
-- see Note [lower instance priority]
instance (priority := 100) finiteType {R : Type*} (A : Type*) [CommSemiring R] [Semiring A]
[Algebra R A] [hRA : Module.Finite R A] : Algebra.FiniteType R A :=
⟨Subalgebra.fg_of_submodule_fg hRA.1⟩
end Algebra
end Finite
end Module
namespace Algebra
variable [CommSemiring R] [CommSemiring S] [Semiring A] [Semiring B]
variable [Algebra R S] [Algebra R A] [Algebra R B]
variable [AddCommMonoid M] [Module R M]
variable [AddCommMonoid N] [Module R N]
namespace FiniteType
theorem self : FiniteType R R :=
⟨⟨{1}, Subsingleton.elim _ _⟩⟩
protected theorem polynomial : FiniteType R R[X] :=
⟨⟨{Polynomial.X}, by
rw [Finset.coe_singleton]
exact Polynomial.adjoin_X⟩⟩
protected theorem freeAlgebra (ι : Type*) [Finite ι] : FiniteType R (FreeAlgebra R ι) := by
cases nonempty_fintype ι
classical
exact
⟨⟨Finset.univ.image (FreeAlgebra.ι R), by
rw [Finset.coe_image, Finset.coe_univ, Set.image_univ]
exact FreeAlgebra.adjoin_range_ι R ι⟩⟩
protected theorem mvPolynomial (ι : Type*) [Finite ι] : FiniteType R (MvPolynomial ι R) := by
cases nonempty_fintype ι
classical
exact
⟨⟨Finset.univ.image MvPolynomial.X, by
rw [Finset.coe_image, Finset.coe_univ, Set.image_univ]
exact MvPolynomial.adjoin_range_X⟩⟩
theorem of_restrictScalars_finiteType [Algebra S A] [IsScalarTower R S A] [hA : FiniteType R A] :
FiniteType S A := by
obtain ⟨s, hS⟩ := hA.out
refine ⟨⟨s, eq_top_iff.2 fun b => ?_⟩⟩
have le : adjoin R (s : Set A) ≤ Subalgebra.restrictScalars R (adjoin S s) := by
apply (Algebra.adjoin_le _ : adjoin R (s : Set A) ≤ Subalgebra.restrictScalars R (adjoin S ↑s))
simp only [Subalgebra.coe_restrictScalars]
exact Algebra.subset_adjoin
exact le (eq_top_iff.1 hS b)
variable {R S A B}
theorem of_surjective (hRA : FiniteType R A) (f : A →ₐ[R] B) (hf : Surjective f) : FiniteType R B :=
⟨by
convert hRA.1.map f
simpa only [map_top f, @eq_comm _ ⊤, eq_top_iff, AlgHom.mem_range] using hf⟩
theorem equiv (hRA : FiniteType R A) (e : A ≃ₐ[R] B) : FiniteType R B :=
hRA.of_surjective e e.surjective
theorem trans [Algebra S A] [IsScalarTower R S A] (hRS : FiniteType R S) (hSA : FiniteType S A) :
FiniteType R A :=
⟨fg_trans' hRS.1 hSA.1⟩
instance quotient (R : Type*) {S : Type*} [CommSemiring R] [CommRing S] [Algebra R S] (I : Ideal S)
[h : Algebra.FiniteType R S] : Algebra.FiniteType R (S ⧸ I) :=
Algebra.FiniteType.trans h inferInstance
/-- An algebra is finitely generated if and only if it is a quotient
of a free algebra whose variables are indexed by a finset. -/
theorem iff_quotient_freeAlgebra :
FiniteType R A ↔
∃ (s : Finset A) (f : FreeAlgebra R s →ₐ[R] A), Surjective f := by
constructor
· rintro ⟨s, hs⟩
refine ⟨s, FreeAlgebra.lift _ (↑), ?_⟩
rw [← Set.range_eq_univ, ← AlgHom.coe_range, ← adjoin_range_eq_range_freeAlgebra_lift,
Subtype.range_coe_subtype, Finset.setOf_mem, hs, coe_top]
· rintro ⟨s, ⟨f, hsur⟩⟩
exact FiniteType.of_surjective (FiniteType.freeAlgebra R s) f hsur
/-- A commutative algebra is finitely generated if and only if it is a quotient
of a polynomial ring whose variables are indexed by a finset. -/
theorem iff_quotient_mvPolynomial :
FiniteType R S ↔
∃ (s : Finset S) (f : MvPolynomial { x // x ∈ s } R →ₐ[R] S), Surjective f := by
constructor
· rintro ⟨s, hs⟩
use s, MvPolynomial.aeval (↑)
intro x
have hrw : (↑s : Set S) = fun x : S => x ∈ s.val := rfl
rw [← Set.mem_range, ← AlgHom.coe_range, ← adjoin_eq_range]
simp_rw [← hrw, hs]
exact Set.mem_univ x
· rintro ⟨s, ⟨f, hsur⟩⟩
exact FiniteType.of_surjective (FiniteType.mvPolynomial R { x // x ∈ s }) f hsur
/-- An algebra is finitely generated if and only if it is a quotient
of a polynomial ring whose variables are indexed by a fintype. -/
theorem iff_quotient_freeAlgebra' : FiniteType R A ↔
∃ (ι : Type uA) (_ : Fintype ι) (f : FreeAlgebra R ι →ₐ[R] A), Surjective f := by
constructor
· rw [iff_quotient_freeAlgebra]
rintro ⟨s, ⟨f, hsur⟩⟩
use { x : A // x ∈ s }, inferInstance, f
· rintro ⟨ι, ⟨hfintype, ⟨f, hsur⟩⟩⟩
letI : Fintype ι := hfintype
exact FiniteType.of_surjective (FiniteType.freeAlgebra R ι) f hsur
/-- A commutative algebra is finitely generated if and only if it is a quotient
of a polynomial ring whose variables are indexed by a fintype. -/
theorem iff_quotient_mvPolynomial' : FiniteType R S ↔
∃ (ι : Type uS) (_ : Fintype ι) (f : MvPolynomial ι R →ₐ[R] S), Surjective f := by
constructor
· rw [iff_quotient_mvPolynomial]
rintro ⟨s, ⟨f, hsur⟩⟩
use { x : S // x ∈ s }, inferInstance, f
· rintro ⟨ι, ⟨hfintype, ⟨f, hsur⟩⟩⟩
letI : Fintype ι := hfintype
exact FiniteType.of_surjective (FiniteType.mvPolynomial R ι) f hsur
/-- A commutative algebra is finitely generated if and only if it is a quotient of a polynomial ring
in `n` variables. -/
theorem iff_quotient_mvPolynomial'' :
FiniteType R S ↔ ∃ (n : ℕ) (f : MvPolynomial (Fin n) R →ₐ[R] S), Surjective f := by
constructor
· rw [iff_quotient_mvPolynomial']
rintro ⟨ι, hfintype, ⟨f, hsur⟩⟩
have equiv := MvPolynomial.renameEquiv R (Fintype.equivFin ι)
exact ⟨Fintype.card ι, AlgHom.comp f equiv.symm.toAlgHom, by simpa using hsur⟩
· rintro ⟨n, ⟨f, hsur⟩⟩
exact FiniteType.of_surjective (FiniteType.mvPolynomial R (Fin n)) f hsur
instance prod [hA : FiniteType R A] [hB : FiniteType R B] : FiniteType R (A × B) :=
⟨by rw [← Subalgebra.prod_top]; exact hA.1.prod hB.1⟩
theorem isNoetherianRing (R S : Type*) [CommRing R] [CommRing S] [Algebra R S]
[h : Algebra.FiniteType R S] [IsNoetherianRing R] : IsNoetherianRing S := by
obtain ⟨s, hs⟩ := h.1
apply
isNoetherianRing_of_surjective (MvPolynomial s R) S
(MvPolynomial.aeval (↑) : MvPolynomial s R →ₐ[R] S).toRingHom
rw [← Set.range_eq_univ, AlgHom.toRingHom_eq_coe, RingHom.coe_coe, ← AlgHom.coe_range,
← Algebra.adjoin_range_eq_range_aeval, Subtype.range_coe_subtype, Finset.setOf_mem, hs]
rfl
theorem _root_.Subalgebra.fg_iff_finiteType (S : Subalgebra R A) : S.FG ↔ Algebra.FiniteType R S :=
S.fg_top.symm.trans ⟨fun h => ⟨h⟩, fun h => h.out⟩
end FiniteType
end Algebra
end ModuleAndAlgebra
namespace RingHom
variable {A B C : Type*} [CommRing A] [CommRing B] [CommRing C]
/-- A ring morphism `A →+* B` is of `FiniteType` if `B` is finitely generated as `A`-algebra. -/
@[algebraize]
def FiniteType (f : A →+* B) : Prop :=
@Algebra.FiniteType A B _ _ f.toAlgebra
namespace Finite
theorem finiteType {f : A →+* B} (hf : f.Finite) : FiniteType f :=
@Module.Finite.finiteType _ _ _ _ f.toAlgebra hf
end Finite
namespace FiniteType
variable (A) in
theorem id : FiniteType (RingHom.id A) :=
Algebra.FiniteType.self A
theorem comp_surjective {f : A →+* B} {g : B →+* C} (hf : f.FiniteType) (hg : Surjective g) :
(g.comp f).FiniteType := by
algebraize_only [f, g.comp f]
exact Algebra.FiniteType.of_surjective hf
{ g with
toFun := g
commutes' := fun a => rfl }
hg
theorem of_surjective (f : A →+* B) (hf : Surjective f) : f.FiniteType := by
rw [← f.comp_id]
exact (id A).comp_surjective hf
theorem comp {g : B →+* C} {f : A →+* B} (hg : g.FiniteType) (hf : f.FiniteType) :
(g.comp f).FiniteType := by
algebraize_only [f, g, g.comp f]
exact Algebra.FiniteType.trans hf hg
theorem of_finite {f : A →+* B} (hf : f.Finite) : f.FiniteType :=
@Module.Finite.finiteType _ _ _ _ f.toAlgebra hf
alias _root_.RingHom.Finite.to_finiteType := of_finite
theorem of_comp_finiteType {f : A →+* B} {g : B →+* C} (h : (g.comp f).FiniteType) :
g.FiniteType := by
algebraize [f, g, g.comp f]
exact Algebra.FiniteType.of_restrictScalars_finiteType A B C
end FiniteType
end RingHom
namespace AlgHom
variable {R A B C : Type*} [CommRing R]
variable [CommRing A] [CommRing B] [CommRing C]
variable [Algebra R A] [Algebra R B] [Algebra R C]
/-- An algebra morphism `A →ₐ[R] B` is of `FiniteType` if it is of finite type as ring morphism.
In other words, if `B` is finitely generated as `A`-algebra. -/
def FiniteType (f : A →ₐ[R] B) : Prop :=
f.toRingHom.FiniteType
namespace Finite
theorem finiteType {f : A →ₐ[R] B} (hf : f.Finite) : FiniteType f :=
RingHom.Finite.finiteType hf
end Finite
namespace FiniteType
variable (R A)
theorem id : FiniteType (AlgHom.id R A) :=
RingHom.FiniteType.id A
variable {R A}
theorem comp {g : B →ₐ[R] C} {f : A →ₐ[R] B} (hg : g.FiniteType) (hf : f.FiniteType) :
(g.comp f).FiniteType :=
RingHom.FiniteType.comp hg hf
theorem comp_surjective {f : A →ₐ[R] B} {g : B →ₐ[R] C} (hf : f.FiniteType) (hg : Surjective g) :
(g.comp f).FiniteType :=
RingHom.FiniteType.comp_surjective hf hg
theorem of_surjective (f : A →ₐ[R] B) (hf : Surjective f) : f.FiniteType :=
RingHom.FiniteType.of_surjective f.toRingHom hf
theorem of_comp_finiteType {f : A →ₐ[R] B} {g : B →ₐ[R] C} (h : (g.comp f).FiniteType) :
g.FiniteType :=
RingHom.FiniteType.of_comp_finiteType h
end FiniteType
end AlgHom
theorem algebraMap_finiteType_iff_algebra_finiteType {R A : Type*} [CommRing R] [CommRing A]
[Algebra R A] : (algebraMap R A).FiniteType ↔ Algebra.FiniteType R A := by
dsimp [RingHom.FiniteType]
constructor <;> (intro h; convert h; apply Algebra.algebra_ext; exact congrFun rfl)
section MonoidAlgebra
variable {R : Type*} {M : Type*}
namespace AddMonoidAlgebra
open Algebra AddSubmonoid Submodule
section Span
section Semiring
variable [CommSemiring R] [AddMonoid M]
/-- An element of `R[M]` is in the subalgebra generated by its support. -/
theorem mem_adjoin_support (f : R[M]) : f ∈ adjoin R (of' R M '' f.support) := by
suffices span R (of' R M '' f.support) ≤
Subalgebra.toSubmodule (adjoin R (of' R M '' f.support)) by
exact this (mem_span_support f)
rw [Submodule.span_le]
exact subset_adjoin
/-- If a set `S` generates, as algebra, `R[M]`, then the set of supports of
elements of `S` generates `R[M]`. -/
theorem support_gen_of_gen {S : Set R[M]} (hS : Algebra.adjoin R S = ⊤) :
Algebra.adjoin R (⋃ f ∈ S, of' R M '' (f.support : Set M)) = ⊤ := by
refine le_antisymm le_top ?_
rw [← hS, adjoin_le_iff]
intro f hf
have hincl :
of' R M '' f.support ⊆ ⋃ (g : R[M]) (_ : g ∈ S), of' R M '' g.support := by
intro s hs
exact Set.mem_iUnion₂.2 ⟨f, ⟨hf, hs⟩⟩
exact adjoin_mono hincl (mem_adjoin_support f)
/-- If a set `S` generates, as algebra, `R[M]`, then the image of the union of
the supports of elements of `S` generates `R[M]`. -/
theorem support_gen_of_gen' {S : Set R[M]} (hS : Algebra.adjoin R S = ⊤) :
Algebra.adjoin R (of' R M '' ⋃ f ∈ S, (f.support : Set M)) = ⊤ := by
suffices (of' R M '' ⋃ f ∈ S, (f.support : Set M)) = ⋃ f ∈ S, of' R M '' (f.support : Set M) by
rw [this]
exact support_gen_of_gen hS
simp only [Set.image_iUnion]
end Semiring
section Ring
variable [CommRing R] [AddMonoid M]
/-- If `R[M]` is of finite type, then there is a `G : Finset M` such that its
image generates, as algebra, `R[M]`. -/
theorem exists_finset_adjoin_eq_top [h : FiniteType R R[M]] :
∃ G : Finset M, Algebra.adjoin R (of' R M '' G) = ⊤ := by
obtain ⟨S, hS⟩ := h
letI : DecidableEq M := Classical.decEq M
use Finset.biUnion S fun f => f.support
have : (Finset.biUnion S fun f => f.support : Set M) = ⋃ f ∈ S, (f.support : Set M) := by
simp only [Finset.set_biUnion_coe, Finset.coe_biUnion]
rw [this]
exact support_gen_of_gen' hS
/-- The image of an element `m : M` in `R[M]` belongs the submodule generated by
`S : Set M` if and only if `m ∈ S`. -/
theorem of'_mem_span [Nontrivial R] {m : M} {S : Set M} :
of' R M m ∈ span R (of' R M '' S) ↔ m ∈ S := by
refine ⟨fun h => ?_, fun h => Submodule.subset_span <| Set.mem_image_of_mem (of R M) h⟩
unfold of' at h
rw [← Finsupp.supported_eq_span_single, Finsupp.mem_supported,
Finsupp.support_single_ne_zero _ (one_ne_zero' R)] at h
simpa using h
/--
If the image of an element `m : M` in `R[M]` belongs the submodule generated by
the closure of some `S : Set M` then `m ∈ closure S`. -/
theorem mem_closure_of_mem_span_closure [Nontrivial R] {m : M} {S : Set M}
(h : of' R M m ∈ span R (Submonoid.closure (of' R M '' S) : Set R[M])) :
m ∈ closure S := by
suffices Multiplicative.ofAdd m ∈ Submonoid.closure (Multiplicative.toAdd ⁻¹' S) by
simpa [← toSubmonoid_closure]
let S' := @Submonoid.closure (Multiplicative M) Multiplicative.mulOneClass S
have h' : Submonoid.map (of R M) S' = Submonoid.closure ((fun x : M => (of R M) x) '' S) :=
MonoidHom.map_mclosure _ _
rw [Set.image_congr' (show ∀ x, of' R M x = of R M x from fun x => of'_eq_of x), ← h'] at h
simpa using of'_mem_span.1 h
end Ring
end Span
/-- If a set `S` generates an additive monoid `M`, then the image of `M` generates, as algebra,
`R[M]`. -/
theorem mvPolynomial_aeval_of_surjective_of_closure [AddCommMonoid M] [CommSemiring R] {S : Set M}
(hS : closure S = ⊤) :
Function.Surjective
(MvPolynomial.aeval fun s : S => of' R M ↑s : MvPolynomial S R → R[M]) := by
intro f
induction' f using induction_on with m f g ihf ihg r f ih
· have : m ∈ closure S := hS.symm ▸ mem_top _
refine AddSubmonoid.closure_induction (fun m hm => ?_) ?_ ?_ this
· exact ⟨MvPolynomial.X ⟨m, hm⟩, MvPolynomial.aeval_X _ _⟩
· exact ⟨1, map_one _⟩
· rintro m₁ m₂ _ _ ⟨P₁, hP₁⟩ ⟨P₂, hP₂⟩
exact
⟨P₁ * P₂, by
rw [map_mul, hP₁, hP₂, of_apply, of_apply, of_apply, single_mul_single,
one_mul]; rfl⟩
· rcases ihf with ⟨P, rfl⟩
rcases ihg with ⟨Q, rfl⟩
exact ⟨P + Q, map_add _ _ _⟩
· rcases ih with ⟨P, rfl⟩
exact ⟨r • P, map_smul _ _ _⟩
variable [AddMonoid M]
/-- If a set `S` generates an additive monoid `M`, then the image of `M` generates, as algebra,
`R[M]`. -/
theorem freeAlgebra_lift_of_surjective_of_closure [CommSemiring R] {S : Set M}
(hS : closure S = ⊤) :
Function.Surjective
(FreeAlgebra.lift R fun s : S => of' R M ↑s : FreeAlgebra R S → R[M]) := by
intro f
induction' f using induction_on with m f g ihf ihg r f ih
· have : m ∈ closure S := hS.symm ▸ mem_top _
refine AddSubmonoid.closure_induction (fun m hm => ?_) ?_ ?_ this
· exact ⟨FreeAlgebra.ι R ⟨m, hm⟩, FreeAlgebra.lift_ι_apply _ _⟩
· exact ⟨1, map_one _⟩
· rintro m₁ m₂ _ _ ⟨P₁, hP₁⟩ ⟨P₂, hP₂⟩
exact
⟨P₁ * P₂, by
rw [map_mul, hP₁, hP₂, of_apply, of_apply, of_apply, single_mul_single,
one_mul]; rfl⟩
· rcases ihf with ⟨P, rfl⟩
rcases ihg with ⟨Q, rfl⟩
exact ⟨P + Q, map_add _ _ _⟩
· rcases ih with ⟨P, rfl⟩
exact ⟨r • P, map_smul _ _ _⟩
variable (R M)
/-- If an additive monoid `M` is finitely generated then `R[M]` is of finite
type. -/
instance finiteType_of_fg [CommRing R] [h : AddMonoid.FG M] :
FiniteType R R[M] := by
obtain ⟨S, hS⟩ := h.fg_top
exact (FiniteType.freeAlgebra R (S : Set M)).of_surjective
(FreeAlgebra.lift R fun s : (S : Set M) => of' R M ↑s)
(freeAlgebra_lift_of_surjective_of_closure hS)
variable {R M}
/-- An additive monoid `M` is finitely generated if and only if `R[M]` is of
finite type. -/
theorem finiteType_iff_fg [CommRing R] [Nontrivial R] :
FiniteType R R[M] ↔ AddMonoid.FG M := by
refine ⟨fun h => ?_, fun h => @AddMonoidAlgebra.finiteType_of_fg _ _ _ _ h⟩
obtain ⟨S, hS⟩ := @exists_finset_adjoin_eq_top R M _ _ h
refine AddMonoid.fg_def.2 ⟨S, (eq_top_iff' _).2 fun m => ?_⟩
have hm : of' R M m ∈ Subalgebra.toSubmodule (adjoin R (of' R M '' ↑S)) := by
simp only [hS, top_toSubmodule, Submodule.mem_top]
rw [adjoin_eq_span] at hm
exact mem_closure_of_mem_span_closure hm
|
/-- If `R[M]` is of finite type then `M` is finitely generated. -/
theorem fg_of_finiteType [CommRing R] [Nontrivial R] [h : FiniteType R R[M]] :
AddMonoid.FG M :=
finiteType_iff_fg.1 h
/-- An additive group `G` is finitely generated if and only if `R[G]` is of
finite type. -/
theorem finiteType_iff_group_fg {G : Type*} [AddGroup G] [CommRing R] [Nontrivial R] :
FiniteType R R[G] ↔ AddGroup.FG G := by
simpa [AddGroup.fg_iff_addMonoid_fg] using finiteType_iff_fg
end AddMonoidAlgebra
namespace MonoidAlgebra
open Algebra Submonoid Submodule
section Span
| Mathlib/RingTheory/FiniteType.lean | 477 | 496 |
/-
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.Countable.Small
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.Fintype.Powerset
import Mathlib.Data.Nat.Cast.Order.Basic
import Mathlib.Data.Set.Countable
import Mathlib.Logic.Equiv.Fin.Basic
import Mathlib.Logic.Small.Set
import Mathlib.Logic.UnivLE
import Mathlib.SetTheory.Cardinal.Order
/-!
# Basic results on cardinal numbers
We provide a collection of basic results on cardinal numbers, in particular focussing on
finite/countable/small types and sets.
## Main definitions
* `Cardinal.powerlt a b` or `a ^< b` is defined as the supremum of `a ^ c` for `c < b`.
## 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
open List (Vector)
open Function Order Set
noncomputable section
universe u v w v' w'
variable {α β : Type u}
namespace Cardinal
/-! ### Lifting cardinals to a higher universe -/
@[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
-- `simp` can't figure out universe levels: normal form is `lift_mk_shrink'`.
theorem lift_mk_shrink (α : Type u) [Small.{v} α] :
Cardinal.lift.{max u w} #(Shrink.{v} α) = Cardinal.lift.{max v w} #α :=
lift_mk_eq.2 ⟨(equivShrink α).symm⟩
@[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
@[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]
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]
/-! ### Basic cardinals -/
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 _ _⟩⟩
@[simp]
theorem mk_le_one_iff_set_subsingleton {s : Set α} : #s ≤ 1 ↔ s.Subsingleton :=
le_one_iff_subsingleton.trans s.subsingleton_coe
alias ⟨_, _root_.Set.Subsingleton.cardinalMk_le_one⟩ := mk_le_one_iff_set_subsingleton
@[deprecated (since := "2024-11-10")]
alias _root_.Set.Subsingleton.cardinal_mk_le_one := Set.Subsingleton.cardinalMk_le_one
private theorem cast_succ (n : ℕ) : ((n + 1 : ℕ) : Cardinal.{u}) = n + 1 := by
change #(ULift.{u} _) = #(ULift.{u} _) + 1
rw [← mk_option]
simp
/-! ### Order properties -/
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]
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]
/-- 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
@[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
@[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]
end Cardinal
/-! ### Small sets of cardinals -/
namespace Cardinal
instance small_Iic (a : Cardinal.{u}) : Small.{u} (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 small_Iio (a : Cardinal.{u}) : Small.{u} (Iio a) := small_subset Iio_subset_Iic_self
instance small_Icc (a b : Cardinal.{u}) : Small.{u} (Icc a b) := small_subset Icc_subset_Iic_self
instance small_Ico (a b : Cardinal.{u}) : Small.{u} (Ico a b) := small_subset Ico_subset_Iio_self
instance small_Ioc (a b : Cardinal.{u}) : Small.{u} (Ioc a b) := small_subset Ioc_subset_Iic_self
instance small_Ioo (a b : Cardinal.{u}) : Small.{u} (Ioo a b) := small_subset Ioo_subset_Iio_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 _ h => ha h) _, by
rintro ⟨ι, ⟨e⟩⟩
use sum.{u, u} fun x ↦ e.symm x
intro a ha
simpa using le_sum (fun x ↦ e.symm x) (e ⟨a, ha⟩)⟩
theorem bddAbove_of_small (s : Set Cardinal.{u}) [h : Small.{u} s] : BddAbove s :=
bddAbove_iff_small.2 h
theorem bddAbove_range {ι : Type*} [Small.{u} ι] (f : ι → Cardinal.{u}) : BddAbove (Set.range f) :=
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 ⊢
exact small_lift _
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 g hf
/-- The type of cardinals in universe `u` is not `Small.{u}`. This is a version of the Burali-Forti
paradox. -/
theorem _root_.not_small_cardinal : ¬ Small.{u} Cardinal.{max u v} := by
intro h
have := small_lift.{_, v} Cardinal.{max u v}
rw [← small_univ_iff, ← bddAbove_iff_small] at this
exact not_bddAbove_univ this
instance uncountable : Uncountable Cardinal.{u} :=
Uncountable.of_not_small not_small_cardinal.{u}
/-! ### Bounds on suprema -/
theorem sum_le_iSup_lift {ι : Type u}
(f : ι → Cardinal.{max u v}) : sum f ≤ Cardinal.lift #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_of_small _)
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
/-- 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.mem_range_lift_of_le (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)
/-- 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_def]
/-- 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
@[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 _)
/-- 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⟩
/-- 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
/-! ### Properties about the cast from `ℕ` -/
theorem mk_finset_of_fintype [Fintype α] : #(Finset α) = 2 ^ Fintype.card α := by
simp [Pow.pow]
@[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 Nat.cast_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
-- This works generally to prove inequalities between numeric cardinals.
theorem one_lt_two : (1 : Cardinal) < 2 := by norm_cast
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
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)
theorem one_le_iff_pos {c : Cardinal} : 1 ≤ c ↔ 0 < c := by
rw [← succ_zero, succ_le_iff]
theorem one_le_iff_ne_zero {c : Cardinal} : 1 ≤ c ↔ c ≠ 0 := by
rw [one_le_iff_pos, pos_iff_ne_zero]
@[simp]
theorem lt_one_iff_zero {c : Cardinal} : c < 1 ↔ c = 0 := by
simpa using lt_succ_bot_iff (a := c)
/-! ### Properties about `aleph0` -/
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⟩⟩)
@[simp]
theorem one_lt_aleph0 : 1 < ℵ₀ := by simpa using nat_lt_aleph0 1
@[simp]
theorem one_le_aleph0 : 1 ≤ ℵ₀ :=
one_lt_aleph0.le
theorem lt_aleph0 {c : Cardinal} : c < ℵ₀ ↔ ∃ n : ℕ, c = n :=
⟨fun h => by
rcases lt_lift_iff.1 h with ⟨c, h', rfl⟩
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 ⟨_, e⟩ => e.symm ▸ nat_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 _ => (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 (Nat.cast_le.1 (h (n + 1)))⟩
theorem isSuccPrelimit_aleph0 : IsSuccPrelimit ℵ₀ :=
isSuccPrelimit_of_succ_lt fun a ha => by
rcases lt_aleph0.1 ha with ⟨n, rfl⟩
rw [← nat_succ]
apply nat_lt_aleph0
theorem isSuccLimit_aleph0 : IsSuccLimit ℵ₀ := by
rw [Cardinal.isSuccLimit_iff]
exact ⟨aleph0_ne_zero, isSuccPrelimit_aleph0⟩
lemma not_isSuccLimit_natCast : (n : ℕ) → ¬ IsSuccLimit (n : Cardinal.{u})
| 0, e => e.1 isMin_bot
| Nat.succ n, e => Order.not_isSuccPrelimit_succ _ (nat_succ n ▸ e.2)
theorem not_isSuccLimit_of_lt_aleph0 {c : Cardinal} (h : c < ℵ₀) : ¬ IsSuccLimit c := by
obtain ⟨n, rfl⟩ := lt_aleph0.1 h
exact not_isSuccLimit_natCast n
theorem aleph0_le_of_isSuccLimit {c : Cardinal} (h : IsSuccLimit c) : ℵ₀ ≤ c := by
contrapose! h
exact not_isSuccLimit_of_lt_aleph0 h
theorem isStrongLimit_aleph0 : IsStrongLimit ℵ₀ := by
refine ⟨aleph0_ne_zero, fun x hx ↦ ?_⟩
obtain ⟨n, rfl⟩ := lt_aleph0.1 hx
exact_mod_cast nat_lt_aleph0 _
theorem IsStrongLimit.aleph0_le {c} (H : IsStrongLimit c) : ℵ₀ ≤ c :=
aleph0_le_of_isSuccLimit H.isSuccLimit
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_isSuccLimit.{u, v} f hf (not_isSuccLimit_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]
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']
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]
theorem lt_aleph0_iff_fintype {α : Type u} : #α < ℵ₀ ↔ Nonempty (Fintype α) :=
lt_aleph0_iff_finite.trans (finite_iff_nonempty_fintype _)
theorem lt_aleph0_of_finite (α : Type u) [Finite α] : #α < ℵ₀ :=
lt_aleph0_iff_finite.2 ‹_›
theorem lt_aleph0_iff_set_finite {S : Set α} : #S < ℵ₀ ↔ S.Finite :=
lt_aleph0_iff_finite.trans finite_coe_iff
alias ⟨_, _root_.Set.Finite.lt_aleph0⟩ := lt_aleph0_iff_set_finite
@[simp]
theorem lt_aleph0_iff_subtype_finite {p : α → Prop} : #{ x // p x } < ℵ₀ ↔ { x | p x }.Finite :=
lt_aleph0_iff_set_finite
theorem mk_le_aleph0_iff : #α ≤ ℵ₀ ↔ Countable α := by
rw [countable_iff_nonempty_embedding, aleph0, ← lift_uzero #α, lift_mk_le']
@[simp]
theorem mk_le_aleph0 [Countable α] : #α ≤ ℵ₀ :=
mk_le_aleph0_iff.mpr ‹_›
theorem le_aleph0_iff_set_countable {s : Set α} : #s ≤ ℵ₀ ↔ s.Countable := mk_le_aleph0_iff
alias ⟨_, _root_.Set.Countable.le_aleph0⟩ := le_aleph0_iff_set_countable
@[simp]
theorem le_aleph0_iff_subtype_countable {p : α → Prop} :
#{ x // p x } ≤ ℵ₀ ↔ { x | p x }.Countable :=
le_aleph0_iff_set_countable
theorem aleph0_lt_mk_iff : ℵ₀ < #α ↔ Uncountable α := by
rw [← not_le, ← not_countable_iff, not_iff_not, mk_le_aleph0_iff]
@[simp]
theorem aleph0_lt_mk [Uncountable α] : ℵ₀ < #α :=
aleph0_lt_mk_iff.mpr ‹_›
instance canLiftCardinalNat : CanLift Cardinal ℕ (↑) fun x => x < ℵ₀ :=
⟨fun _ hx =>
let ⟨n, hn⟩ := lt_aleph0.mp hx
⟨n, hn.symm⟩⟩
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
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⟩
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]
/-- 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]
induction' n with n ih
· simp
rw [succ_nsmul, add_lt_aleph0_iff, ih, and_self_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
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
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]
/-- See also `Cardinal.aleph0_le_mul_iff`. -/
theorem aleph0_le_mul_iff {a b : Cardinal} : ℵ₀ ≤ a * b ↔ a ≠ 0 ∧ b ≠ 0 ∧ (ℵ₀ ≤ a ∨ ℵ₀ ≤ b) := by
let h := (@mul_lt_aleph0_iff a b).not
rwa [not_lt, not_or, not_or, not_and_or, not_lt, not_lt] at h
/-- See also `Cardinal.aleph0_le_mul_iff'`. -/
theorem aleph0_le_mul_iff' {a b : Cardinal.{u}} : ℵ₀ ≤ a * b ↔ a ≠ 0 ∧ ℵ₀ ≤ b ∨ ℵ₀ ≤ a ∧ b ≠ 0 := by
have : ∀ {a : Cardinal.{u}}, ℵ₀ ≤ a → a ≠ 0 := fun a => ne_bot_of_le_ne_bot aleph0_ne_zero a
simp only [aleph0_le_mul_iff, and_or_left, and_iff_right_of_imp this, @and_left_comm (a ≠ 0)]
simp only [and_comm, or_comm]
theorem mul_lt_aleph0_iff_of_ne_zero {a b : Cardinal} (ha : a ≠ 0) (hb : b ≠ 0) :
a * b < ℵ₀ ↔ a < ℵ₀ ∧ b < ℵ₀ := by simp [mul_lt_aleph0_iff, ha, hb]
theorem power_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 [power_natCast, ← Nat.cast_pow]; apply nat_lt_aleph0
theorem eq_one_iff_unique {α : Type*} : #α = 1 ↔ Subsingleton α ∧ Nonempty α :=
calc
#α = 1 ↔ #α ≤ 1 ∧ 1 ≤ #α := le_antisymm_iff
_ ↔ Subsingleton α ∧ Nonempty α :=
le_one_iff_subsingleton.and (one_le_iff_ne_zero.trans mk_ne_zero_iff)
theorem infinite_iff {α : Type u} : Infinite α ↔ ℵ₀ ≤ #α := by
rw [← not_lt, lt_aleph0_iff_finite, not_finite_iff_infinite]
lemma aleph0_le_mk_iff : ℵ₀ ≤ #α ↔ Infinite α := infinite_iff.symm
lemma mk_lt_aleph0_iff : #α < ℵ₀ ↔ Finite α := by simp [← not_le, aleph0_le_mk_iff]
@[simp] lemma mk_lt_aleph0 [Finite α] : #α < ℵ₀ := mk_lt_aleph0_iff.2 ‹_›
@[simp]
theorem aleph0_le_mk (α : Type u) [Infinite α] : ℵ₀ ≤ #α :=
infinite_iff.1 ‹_›
@[simp]
theorem mk_eq_aleph0 (α : Type*) [Countable α] [Infinite α] : #α = ℵ₀ :=
mk_le_aleph0.antisymm <| aleph0_le_mk _
theorem denumerable_iff {α : Type u} : Nonempty (Denumerable α) ↔ #α = ℵ₀ :=
⟨fun ⟨h⟩ => mk_congr ((@Denumerable.eqv α h).trans Equiv.ulift.symm), fun h => by
obtain ⟨f⟩ := Quotient.exact h
exact ⟨Denumerable.mk' <| f.trans Equiv.ulift⟩⟩
theorem mk_denumerable (α : Type u) [Denumerable α] : #α = ℵ₀ :=
denumerable_iff.1 ⟨‹_›⟩
theorem _root_.Set.countable_infinite_iff_nonempty_denumerable {α : Type*} {s : Set α} :
s.Countable ∧ s.Infinite ↔ Nonempty (Denumerable s) := by
rw [nonempty_denumerable_iff, ← Set.infinite_coe_iff, countable_coe_iff]
@[simp]
theorem aleph0_add_aleph0 : ℵ₀ + ℵ₀ = ℵ₀ :=
mk_denumerable _
theorem aleph0_mul_aleph0 : ℵ₀ * ℵ₀ = ℵ₀ :=
mk_denumerable _
@[simp]
theorem nat_mul_aleph0 {n : ℕ} (hn : n ≠ 0) : ↑n * ℵ₀ = ℵ₀ :=
le_antisymm (lift_mk_fin n ▸ mk_le_aleph0) <|
le_mul_of_one_le_left (zero_le _) <| by
rwa [← Nat.cast_one, Nat.cast_le, Nat.one_le_iff_ne_zero]
@[simp]
theorem aleph0_mul_nat {n : ℕ} (hn : n ≠ 0) : ℵ₀ * n = ℵ₀ := by rw [mul_comm, nat_mul_aleph0 hn]
@[simp]
theorem ofNat_mul_aleph0 {n : ℕ} [Nat.AtLeastTwo n] : ofNat(n) * ℵ₀ = ℵ₀ :=
nat_mul_aleph0 (NeZero.ne n)
@[simp]
theorem aleph0_mul_ofNat {n : ℕ} [Nat.AtLeastTwo n] : ℵ₀ * ofNat(n) = ℵ₀ :=
aleph0_mul_nat (NeZero.ne n)
@[simp]
theorem add_le_aleph0 {c₁ c₂ : Cardinal} : c₁ + c₂ ≤ ℵ₀ ↔ c₁ ≤ ℵ₀ ∧ c₂ ≤ ℵ₀ :=
⟨fun h => ⟨le_self_add.trans h, le_add_self.trans h⟩, fun h =>
aleph0_add_aleph0 ▸ add_le_add h.1 h.2⟩
@[simp]
theorem aleph0_add_nat (n : ℕ) : ℵ₀ + n = ℵ₀ :=
(add_le_aleph0.2 ⟨le_rfl, (nat_lt_aleph0 n).le⟩).antisymm le_self_add
@[simp]
theorem nat_add_aleph0 (n : ℕ) : ↑n + ℵ₀ = ℵ₀ := by rw [add_comm, aleph0_add_nat]
@[simp]
theorem ofNat_add_aleph0 {n : ℕ} [Nat.AtLeastTwo n] : ofNat(n) + ℵ₀ = ℵ₀ :=
nat_add_aleph0 n
@[simp]
theorem aleph0_add_ofNat {n : ℕ} [Nat.AtLeastTwo n] : ℵ₀ + ofNat(n) = ℵ₀ :=
aleph0_add_nat n
theorem exists_nat_eq_of_le_nat {c : Cardinal} {n : ℕ} (h : c ≤ n) : ∃ m, m ≤ n ∧ c = m := by
lift c to ℕ using h.trans_lt (nat_lt_aleph0 _)
exact ⟨c, mod_cast h, rfl⟩
theorem mk_int : #ℤ = ℵ₀ :=
mk_denumerable ℤ
theorem mk_pnat : #ℕ+ = ℵ₀ :=
mk_denumerable ℕ+
@[deprecated (since := "2025-04-27")]
alias mk_pNat := mk_pnat
/-! ### Cardinalities of basic sets and types -/
@[simp] theorem mk_additive : #(Additive α) = #α := rfl
@[simp] theorem mk_multiplicative : #(Multiplicative α) = #α := rfl
@[to_additive (attr := simp)] theorem mk_mulOpposite : #(MulOpposite α) = #α :=
mk_congr MulOpposite.opEquiv.symm
theorem mk_singleton {α : Type u} (x : α) : #({x} : Set α) = 1 :=
mk_eq_one _
@[simp]
theorem mk_vector (α : Type u) (n : ℕ) : #(List.Vector α n) = #α ^ n :=
(mk_congr (Equiv.vectorEquivFin α n)).trans <| by simp
theorem mk_list_eq_sum_pow (α : Type u) : #(List α) = sum fun n : ℕ => #α ^ n :=
calc
#(List α) = #(Σn, List.Vector α n) := mk_congr (Equiv.sigmaFiberEquiv List.length).symm
_ = sum fun n : ℕ => #α ^ n := by simp
theorem mk_quot_le {α : Type u} {r : α → α → Prop} : #(Quot r) ≤ #α :=
mk_le_of_surjective Quot.exists_rep
theorem mk_quotient_le {α : Type u} {s : Setoid α} : #(Quotient s) ≤ #α :=
mk_quot_le
theorem mk_subtype_le_of_subset {α : Type u} {p q : α → Prop} (h : ∀ ⦃x⦄, p x → q x) :
#(Subtype p) ≤ #(Subtype q) :=
⟨Embedding.subtypeMap (Embedding.refl α) h⟩
theorem mk_emptyCollection (α : Type u) : #(∅ : Set α) = 0 :=
mk_eq_zero _
theorem mk_emptyCollection_iff {α : Type u} {s : Set α} : #s = 0 ↔ s = ∅ := by
constructor
· intro h
rw [mk_eq_zero_iff] at h
exact eq_empty_iff_forall_not_mem.2 fun x hx => h.elim' ⟨x, hx⟩
· rintro rfl
exact mk_emptyCollection _
@[simp]
theorem mk_univ {α : Type u} : #(@univ α) = #α :=
mk_congr (Equiv.Set.univ α)
@[simp] lemma mk_setProd {α β : Type u} (s : Set α) (t : Set β) : #(s ×ˢ t) = #s * #t := by
rw [mul_def, mk_congr (Equiv.Set.prod ..)]
theorem mk_image_le {α β : Type u} {f : α → β} {s : Set α} : #(f '' s) ≤ #s :=
mk_le_of_surjective surjective_onto_image
lemma mk_image2_le {α β γ : Type u} {f : α → β → γ} {s : Set α} {t : Set β} :
#(image2 f s t) ≤ #s * #t := by
rw [← image_uncurry_prod, ← mk_setProd]
exact mk_image_le
theorem mk_image_le_lift {α : Type u} {β : Type v} {f : α → β} {s : Set α} :
lift.{u} #(f '' s) ≤ lift.{v} #s :=
lift_mk_le.{0}.mpr ⟨Embedding.ofSurjective _ surjective_onto_image⟩
theorem mk_range_le {α β : Type u} {f : α → β} : #(range f) ≤ #α :=
mk_le_of_surjective surjective_onto_range
theorem mk_range_le_lift {α : Type u} {β : Type v} {f : α → β} :
lift.{u} #(range f) ≤ lift.{v} #α :=
lift_mk_le.{0}.mpr ⟨Embedding.ofSurjective _ surjective_onto_range⟩
theorem mk_range_eq (f : α → β) (h : Injective f) : #(range f) = #α :=
mk_congr (Equiv.ofInjective f h).symm
theorem mk_range_eq_lift {α : Type u} {β : Type v} {f : α → β} (hf : Injective f) :
lift.{max u w} #(range f) = lift.{max v w} #α :=
lift_mk_eq.{v,u,w}.mpr ⟨(Equiv.ofInjective f hf).symm⟩
theorem mk_range_eq_of_injective {α : Type u} {β : Type v} {f : α → β} (hf : Injective f) :
lift.{u} #(range f) = lift.{v} #α :=
lift_mk_eq'.mpr ⟨(Equiv.ofInjective f hf).symm⟩
lemma lift_mk_le_lift_mk_of_injective {α : Type u} {β : Type v} {f : α → β} (hf : Injective f) :
Cardinal.lift.{v} (#α) ≤ Cardinal.lift.{u} (#β) := by
rw [← Cardinal.mk_range_eq_of_injective hf]
exact Cardinal.lift_le.2 (Cardinal.mk_set_le _)
lemma lift_mk_le_lift_mk_of_surjective {α : Type u} {β : Type v} {f : α → β} (hf : Surjective f) :
Cardinal.lift.{u} (#β) ≤ Cardinal.lift.{v} (#α) :=
lift_mk_le_lift_mk_of_injective (injective_surjInv hf)
theorem mk_image_eq_of_injOn {α β : Type u} (f : α → β) (s : Set α) (h : InjOn f s) :
#(f '' s) = #s :=
mk_congr (Equiv.Set.imageOfInjOn f s h).symm
theorem mk_image_eq_of_injOn_lift {α : Type u} {β : Type v} (f : α → β) (s : Set α)
(h : InjOn f s) : lift.{u} #(f '' s) = lift.{v} #s :=
lift_mk_eq.{v, u, 0}.mpr ⟨(Equiv.Set.imageOfInjOn f s h).symm⟩
theorem mk_image_eq {α β : Type u} {f : α → β} {s : Set α} (hf : Injective f) : #(f '' s) = #s :=
mk_image_eq_of_injOn _ _ hf.injOn
theorem mk_image_eq_lift {α : Type u} {β : Type v} (f : α → β) (s : Set α) (h : Injective f) :
lift.{u} #(f '' s) = lift.{v} #s :=
mk_image_eq_of_injOn_lift _ _ h.injOn
@[simp]
theorem mk_image_embedding_lift {β : Type v} (f : α ↪ β) (s : Set α) :
lift.{u} #(f '' s) = lift.{v} #s :=
mk_image_eq_lift _ _ f.injective
@[simp]
theorem mk_image_embedding (f : α ↪ β) (s : Set α) : #(f '' s) = #s := by
simpa using mk_image_embedding_lift f s
theorem mk_iUnion_le_sum_mk {α ι : Type u} {f : ι → Set α} : #(⋃ i, f i) ≤ sum fun i => #(f i) :=
calc
#(⋃ i, f i) ≤ #(Σi, f i) := mk_le_of_surjective (Set.sigmaToiUnion_surjective f)
_ = sum fun i => #(f i) := mk_sigma _
theorem mk_iUnion_le_sum_mk_lift {α : Type u} {ι : Type v} {f : ι → Set α} :
lift.{v} #(⋃ i, f i) ≤ sum fun i => #(f i) :=
calc
lift.{v} #(⋃ i, f i) ≤ #(Σi, f i) :=
mk_le_of_surjective <| ULift.up_surjective.comp (Set.sigmaToiUnion_surjective f)
_ = sum fun i => #(f i) := mk_sigma _
theorem mk_iUnion_eq_sum_mk {α ι : Type u} {f : ι → Set α}
(h : Pairwise (Disjoint on f)) : #(⋃ i, f i) = sum fun i => #(f i) :=
calc
#(⋃ i, f i) = #(Σi, f i) := mk_congr (Set.unionEqSigmaOfDisjoint h)
_ = sum fun i => #(f i) := mk_sigma _
theorem mk_iUnion_eq_sum_mk_lift {α : Type u} {ι : Type v} {f : ι → Set α}
(h : Pairwise (Disjoint on f)) :
lift.{v} #(⋃ i, f i) = sum fun i => #(f i) :=
calc
lift.{v} #(⋃ i, f i) = #(Σi, f i) :=
mk_congr <| .trans Equiv.ulift (Set.unionEqSigmaOfDisjoint h)
_ = sum fun i => #(f i) := mk_sigma _
theorem mk_iUnion_le {α ι : Type u} (f : ι → Set α) : #(⋃ i, f i) ≤ #ι * ⨆ i, #(f i) :=
mk_iUnion_le_sum_mk.trans (sum_le_iSup _)
theorem mk_iUnion_le_lift {α : Type u} {ι : Type v} (f : ι → Set α) :
lift.{v} #(⋃ i, f i) ≤ lift.{u} #ι * ⨆ i, lift.{v} #(f i) := by
refine mk_iUnion_le_sum_mk_lift.trans <| Eq.trans_le ?_ (sum_le_iSup_lift _)
rw [← lift_sum, lift_id'.{_,u}]
theorem mk_sUnion_le {α : Type u} (A : Set (Set α)) : #(⋃₀ A) ≤ #A * ⨆ s : A, #s := by
rw [sUnion_eq_iUnion]
apply mk_iUnion_le
theorem mk_biUnion_le {ι α : Type u} (A : ι → Set α) (s : Set ι) :
#(⋃ x ∈ s, A x) ≤ #s * ⨆ x : s, #(A x.1) := by
rw [biUnion_eq_iUnion]
apply mk_iUnion_le
theorem mk_biUnion_le_lift {α : Type u} {ι : Type v} (A : ι → Set α) (s : Set ι) :
lift.{v} #(⋃ x ∈ s, A x) ≤ lift.{u} #s * ⨆ x : s, lift.{v} #(A x.1) := by
rw [biUnion_eq_iUnion]
apply mk_iUnion_le_lift
theorem finset_card_lt_aleph0 (s : Finset α) : #(↑s : Set α) < ℵ₀ :=
lt_aleph0_of_finite _
theorem mk_set_eq_nat_iff_finset {α} {s : Set α} {n : ℕ} :
#s = n ↔ ∃ t : Finset α, (t : Set α) = s ∧ t.card = n := by
constructor
· intro h
lift s to Finset α using lt_aleph0_iff_set_finite.1 (h.symm ▸ nat_lt_aleph0 n)
simpa using h
· rintro ⟨t, rfl, rfl⟩
exact mk_coe_finset
theorem mk_eq_nat_iff_finset {n : ℕ} :
#α = n ↔ ∃ t : Finset α, (t : Set α) = univ ∧ t.card = n := by
rw [← mk_univ, mk_set_eq_nat_iff_finset]
theorem mk_eq_nat_iff_fintype {n : ℕ} : #α = n ↔ ∃ h : Fintype α, @Fintype.card α h = n := by
rw [mk_eq_nat_iff_finset]
constructor
· rintro ⟨t, ht, hn⟩
exact ⟨⟨t, eq_univ_iff_forall.1 ht⟩, hn⟩
· rintro ⟨⟨t, ht⟩, hn⟩
exact ⟨t, eq_univ_iff_forall.2 ht, hn⟩
theorem mk_union_add_mk_inter {α : Type u} {S T : Set α} :
#(S ∪ T : Set α) + #(S ∩ T : Set α) = #S + #T := by
classical
exact Quot.sound ⟨Equiv.Set.unionSumInter S T⟩
/-- The cardinality of a union is at most the sum of the cardinalities
of the two sets. -/
theorem mk_union_le {α : Type u} (S T : Set α) : #(S ∪ T : Set α) ≤ #S + #T :=
@mk_union_add_mk_inter α S T ▸ self_le_add_right #(S ∪ T : Set α) #(S ∩ T : Set α)
theorem mk_union_of_disjoint {α : Type u} {S T : Set α} (H : Disjoint S T) :
#(S ∪ T : Set α) = #S + #T := by
classical
exact Quot.sound ⟨Equiv.Set.union H⟩
theorem mk_insert {α : Type u} {s : Set α} {a : α} (h : a ∉ s) :
#(insert a s : Set α) = #s + 1 := by
rw [← union_singleton, mk_union_of_disjoint, mk_singleton]
simpa
theorem mk_insert_le {α : Type u} {s : Set α} {a : α} : #(insert a s : Set α) ≤ #s + 1 := by
by_cases h : a ∈ s
· simp only [insert_eq_of_mem h, self_le_add_right]
· rw [mk_insert h]
theorem mk_sum_compl {α} (s : Set α) : #s + #(sᶜ : Set α) = #α := by
classical
exact mk_congr (Equiv.Set.sumCompl s)
theorem mk_le_mk_of_subset {α} {s t : Set α} (h : s ⊆ t) : #s ≤ #t :=
⟨Set.embeddingOfSubset s t h⟩
theorem mk_le_iff_forall_finset_subset_card_le {α : Type u} {n : ℕ} {t : Set α} :
#t ≤ n ↔ ∀ s : Finset α, (s : Set α) ⊆ t → s.card ≤ n := by
refine ⟨fun H s hs ↦ by simpa using (mk_le_mk_of_subset hs).trans H, fun H ↦ ?_⟩
apply card_le_of (fun s ↦ ?_)
classical
let u : Finset α := s.image Subtype.val
have : u.card = s.card := Finset.card_image_of_injOn Subtype.coe_injective.injOn
rw [← this]
apply H
simp only [u, Finset.coe_image, image_subset_iff, Subtype.coe_preimage_self, subset_univ]
theorem mk_subtype_mono {p q : α → Prop} (h : ∀ x, p x → q x) :
#{ x // p x } ≤ #{ x // q x } :=
⟨embeddingOfSubset _ _ h⟩
theorem le_mk_diff_add_mk (S T : Set α) : #S ≤ #(S \ T : Set α) + #T :=
(mk_le_mk_of_subset <| subset_diff_union _ _).trans <| mk_union_le _ _
theorem mk_diff_add_mk {S T : Set α} (h : T ⊆ S) : #(S \ T : Set α) + #T = #S := by
refine (mk_union_of_disjoint <| ?_).symm.trans <| by rw [diff_union_of_subset h]
exact disjoint_sdiff_self_left
theorem mk_union_le_aleph0 {α} {P Q : Set α} :
#(P ∪ Q : Set α) ≤ ℵ₀ ↔ #P ≤ ℵ₀ ∧ #Q ≤ ℵ₀ := by
simp only [le_aleph0_iff_subtype_countable, mem_union, setOf_mem_eq, Set.union_def,
← countable_union]
theorem mk_sep (s : Set α) (t : α → Prop) : #({ x ∈ s | t x } : Set α) = #{ x : s | t x.1 } :=
mk_congr (Equiv.Set.sep s t)
theorem mk_preimage_of_injective_lift {α : Type u} {β : Type v} (f : α → β) (s : Set β)
(h : Injective f) : lift.{v} #(f ⁻¹' s) ≤ lift.{u} #s := by
rw [lift_mk_le.{0}]
-- Porting note: Needed to insert `mem_preimage.mp` below
use Subtype.coind (fun x => f x.1) fun x => mem_preimage.mp x.2
apply Subtype.coind_injective; exact h.comp Subtype.val_injective
theorem mk_preimage_of_subset_range_lift {α : Type u} {β : Type v} (f : α → β) (s : Set β)
(h : s ⊆ range f) : lift.{u} #s ≤ lift.{v} #(f ⁻¹' s) := by
rw [← image_preimage_eq_iff] at h
nth_rewrite 1 [← h]
apply mk_image_le_lift
theorem mk_preimage_of_injective_of_subset_range_lift {β : Type v} (f : α → β) (s : Set β)
(h : Injective f) (h2 : s ⊆ range f) : lift.{v} #(f ⁻¹' s) = lift.{u} #s :=
le_antisymm (mk_preimage_of_injective_lift f s h) (mk_preimage_of_subset_range_lift f s h2)
theorem mk_preimage_of_injective_of_subset_range (f : α → β) (s : Set β) (h : Injective f)
(h2 : s ⊆ range f) : #(f ⁻¹' s) = #s := by
convert mk_preimage_of_injective_of_subset_range_lift.{u, u} f s h h2 using 1 <;> rw [lift_id]
@[simp]
theorem mk_preimage_equiv_lift {β : Type v} (f : α ≃ β) (s : Set β) :
lift.{v} #(f ⁻¹' s) = lift.{u} #s := by
apply mk_preimage_of_injective_of_subset_range_lift _ _ f.injective
rw [f.range_eq_univ]
exact fun _ _ ↦ ⟨⟩
@[simp]
theorem mk_preimage_equiv (f : α ≃ β) (s : Set β) : #(f ⁻¹' s) = #s := by
simpa using mk_preimage_equiv_lift f s
theorem mk_preimage_of_injective (f : α → β) (s : Set β) (h : Injective f) :
#(f ⁻¹' s) ≤ #s := by
rw [← lift_id #(↑(f ⁻¹' s)), ← lift_id #(↑s)]
exact mk_preimage_of_injective_lift f s h
theorem mk_preimage_of_subset_range (f : α → β) (s : Set β) (h : s ⊆ range f) :
#s ≤ #(f ⁻¹' s) := by
rw [← lift_id #(↑(f ⁻¹' s)), ← lift_id #(↑s)]
exact mk_preimage_of_subset_range_lift f s h
theorem mk_subset_ge_of_subset_image_lift {α : Type u} {β : Type v} (f : α → β) {s : Set α}
{t : Set β} (h : t ⊆ f '' s) : lift.{u} #t ≤ lift.{v} #({ x ∈ s | f x ∈ t } : Set α) := by
rw [image_eq_range] at h
convert mk_preimage_of_subset_range_lift _ _ h using 1
rw [mk_sep]
rfl
theorem mk_subset_ge_of_subset_image (f : α → β) {s : Set α} {t : Set β} (h : t ⊆ f '' s) :
#t ≤ #({ x ∈ s | f x ∈ t } : Set α) := by
rw [image_eq_range] at h
convert mk_preimage_of_subset_range _ _ h using 1
rw [mk_sep]
rfl
theorem le_mk_iff_exists_subset {c : Cardinal} {α : Type u} {s : Set α} :
c ≤ #s ↔ ∃ p : Set α, p ⊆ s ∧ #p = c := by
rw [le_mk_iff_exists_set, ← Subtype.exists_set_subtype]
apply exists_congr; intro t; rw [mk_image_eq]; apply Subtype.val_injective
@[simp]
theorem mk_range_inl {α : Type u} {β : Type v} : #(range (@Sum.inl α β)) = lift.{v} #α := by
rw [← lift_id'.{u, v} #_, (Equiv.Set.rangeInl α β).lift_cardinal_eq, lift_umax.{u, v}]
@[simp]
theorem mk_range_inr {α : Type u} {β : Type v} : #(range (@Sum.inr α β)) = lift.{u} #β := by
rw [← lift_id'.{v, u} #_, (Equiv.Set.rangeInr α β).lift_cardinal_eq, lift_umax.{v, u}]
theorem two_le_iff : (2 : Cardinal) ≤ #α ↔ ∃ x y : α, x ≠ y := by
rw [← Nat.cast_two, nat_succ, succ_le_iff, Nat.cast_one, one_lt_iff_nontrivial, nontrivial_iff]
theorem two_le_iff' (x : α) : (2 : Cardinal) ≤ #α ↔ ∃ y : α, y ≠ x := by
rw [two_le_iff, ← nontrivial_iff, nontrivial_iff_exists_ne x]
theorem mk_eq_two_iff : #α = 2 ↔ ∃ x y : α, x ≠ y ∧ ({x, y} : Set α) = univ := by
classical
simp only [← @Nat.cast_two Cardinal, mk_eq_nat_iff_finset, Finset.card_eq_two]
constructor
· rintro ⟨t, ht, x, y, hne, rfl⟩
exact ⟨x, y, hne, by simpa using ht⟩
· rintro ⟨x, y, hne, h⟩
exact ⟨{x, y}, by simpa using h, x, y, hne, rfl⟩
theorem mk_eq_two_iff' (x : α) : #α = 2 ↔ ∃! y, y ≠ x := by
rw [mk_eq_two_iff]; constructor
· rintro ⟨a, b, hne, h⟩
simp only [eq_univ_iff_forall, mem_insert_iff, mem_singleton_iff] at h
rcases h x with (rfl | rfl)
exacts [⟨b, hne.symm, fun z => (h z).resolve_left⟩, ⟨a, hne, fun z => (h z).resolve_right⟩]
· rintro ⟨y, hne, hy⟩
exact ⟨x, y, hne.symm, eq_univ_of_forall fun z => or_iff_not_imp_left.2 (hy z)⟩
theorem exists_not_mem_of_length_lt {α : Type*} (l : List α) (h : ↑l.length < #α) :
∃ z : α, z ∉ l := by
classical
contrapose! h
calc
#α = #(Set.univ : Set α) := mk_univ.symm
_ ≤ #l.toFinset := mk_le_mk_of_subset fun x _ => List.mem_toFinset.mpr (h x)
_ = l.toFinset.card := Cardinal.mk_coe_finset
_ ≤ l.length := Nat.cast_le.mpr (List.toFinset_card_le l)
theorem three_le {α : Type*} (h : 3 ≤ #α) (x : α) (y : α) : ∃ z : α, z ≠ x ∧ z ≠ y := by
have : ↑(3 : ℕ) ≤ #α := by simpa using h
have : ↑(2 : ℕ) < #α := by rwa [← succ_le_iff, ← Cardinal.nat_succ]
have := exists_not_mem_of_length_lt [x, y] this
simpa [not_or] using this
/-! ### `powerlt` operation -/
/-- The function `a ^< b`, defined as the supremum of `a ^ c` for `c < b`. -/
def powerlt (a b : Cardinal.{u}) : Cardinal.{u} :=
⨆ c : Iio b, a ^ (c : Cardinal)
@[inherit_doc]
infixl:80 " ^< " => powerlt
theorem le_powerlt {b c : Cardinal.{u}} (a) (h : c < b) : (a^c) ≤ a ^< b := by
refine le_ciSup (f := fun y : Iio b => a ^ (y : Cardinal)) ?_ ⟨c, h⟩
rw [← image_eq_range]
exact bddAbove_image.{u, u} _ bddAbove_Iio
theorem powerlt_le {a b c : Cardinal.{u}} : a ^< b ≤ c ↔ ∀ x < b, a ^ x ≤ c := by
rw [powerlt, ciSup_le_iff']
· simp
· rw [← image_eq_range]
exact bddAbove_image.{u, u} _ bddAbove_Iio
theorem powerlt_le_powerlt_left {a b c : Cardinal} (h : b ≤ c) : a ^< b ≤ a ^< c :=
powerlt_le.2 fun _ hx => le_powerlt a <| hx.trans_le h
theorem powerlt_mono_left (a) : Monotone fun c => a ^< c := fun _ _ => powerlt_le_powerlt_left
theorem powerlt_succ {a b : Cardinal} (h : a ≠ 0) : a ^< succ b = a ^ b :=
(powerlt_le.2 fun _ h' => power_le_power_left h <| le_of_lt_succ h').antisymm <|
le_powerlt a (lt_succ b)
theorem powerlt_min {a b c : Cardinal} : a ^< min b c = min (a ^< b) (a ^< c) :=
(powerlt_mono_left a).map_min
theorem powerlt_max {a b c : Cardinal} : a ^< max b c = max (a ^< b) (a ^< c) :=
(powerlt_mono_left a).map_max
theorem zero_powerlt {a : Cardinal} (h : a ≠ 0) : 0 ^< a = 1 := by
apply (powerlt_le.2 fun c _ => zero_power_le _).antisymm
rw [← power_zero]
exact le_powerlt 0 (pos_iff_ne_zero.2 h)
@[simp]
theorem powerlt_zero {a : Cardinal} : a ^< 0 = 0 := by
convert Cardinal.iSup_of_empty _
exact Subtype.isEmpty_of_false fun x => mem_Iio.not.mpr (Cardinal.zero_le x).not_lt
end Cardinal
| Mathlib/SetTheory/Cardinal/Basic.lean | 1,398 | 1,400 | |
/-
Copyright (c) 2024 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.Algebra.Order.Archimedean.Basic
import Mathlib.LinearAlgebra.Charpoly.ToMatrix
import Mathlib.LinearAlgebra.Determinant
import Mathlib.LinearAlgebra.Eigenspace.Minpoly
import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition
import Mathlib.RingTheory.Artinian.Module
/-!
# Results on the eigenvalue 0
In this file we provide equivalent characterizations of properties related to the eigenvalue 0,
such as being nilpotent, having determinant equal to 0, having a non-trivial kernel, etc...
## Main results
* `LinearMap.charpoly_nilpotent_tfae`:
equivalent characterizations of nilpotent endomorphisms
* `LinearMap.hasEigenvalue_zero_tfae`:
equivalent characterizations of endomorphisms with eigenvalue 0
* `LinearMap.not_hasEigenvalue_zero_tfae`:
endomorphisms without eigenvalue 0
* `LinearMap.finrank_maxGenEigenspace`:
the dimension of the maximal generalized eigenspace of an endomorphism
is the trailing degree of its characteristic polynomial
-/
variable {R K M : Type*} [CommRing R] [IsDomain R] [Field K] [AddCommGroup M]
variable [Module R M] [Module.Finite R M] [Module.Free R M]
variable [Module K M] [Module.Finite K M]
open Module Module.Free Polynomial
lemma IsNilpotent.charpoly_eq_X_pow_finrank {φ : Module.End R M} (h : IsNilpotent φ) :
φ.charpoly = X ^ finrank R M := by
rw [← sub_eq_zero]
apply IsNilpotent.eq_zero
rw [finrank_eq_card_chooseBasisIndex]
apply Matrix.isNilpotent_charpoly_sub_pow_of_isNilpotent
exact h.map (LinearMap.toMatrixAlgEquiv (chooseBasis R M))
namespace LinearMap
lemma isNilpotent_iff_charpoly (φ : End R M) :
IsNilpotent φ ↔ charpoly φ = X ^ finrank R M :=
⟨IsNilpotent.charpoly_eq_X_pow_finrank,
fun h ↦ ⟨finrank R M, by rw [← @aeval_X_pow R, ← h, aeval_self_charpoly φ]⟩⟩
open Module.Free in
lemma charpoly_nilpotent_tfae [IsNoetherian R M] (φ : Module.End R M) :
List.TFAE [
IsNilpotent φ,
φ.charpoly = X ^ finrank R M,
∀ m : M, ∃ (n : ℕ), (φ ^ n) m = 0,
natTrailingDegree φ.charpoly = finrank R M ] := by
tfae_have 1 → 2 := IsNilpotent.charpoly_eq_X_pow_finrank
tfae_have 2 → 3
| h, m => by
use finrank R M
suffices φ ^ finrank R M = 0 by simp only [this, LinearMap.zero_apply]
simpa only [h, map_pow, aeval_X] using φ.aeval_self_charpoly
tfae_have 3 → 1
| h => by
obtain ⟨n, hn⟩ := Filter.eventually_atTop.mp <| φ.eventually_iSup_ker_pow_eq
use n
ext x
rw [zero_apply, ← mem_ker, ← hn n le_rfl]
obtain ⟨k, hk⟩ := h x
rw [← mem_ker] at hk
exact Submodule.mem_iSup_of_mem _ hk
tfae_have 2 ↔ 4 := by
rw [← φ.charpoly_natDegree, φ.charpoly_monic.eq_X_pow_iff_natTrailingDegree_eq_natDegree]
tfae_finish
| lemma charpoly_eq_X_pow_iff [IsNoetherian R M] (φ : Module.End R M) :
φ.charpoly = X ^ finrank R M ↔ ∀ m : M, ∃ (n : ℕ), (φ ^ n) m = 0 :=
(charpoly_nilpotent_tfae φ).out 1 2
open Module.Free in
lemma hasEigenvalue_zero_tfae (φ : Module.End K M) :
List.TFAE [
Module.End.HasEigenvalue φ 0,
IsRoot (minpoly K φ) 0,
constantCoeff φ.charpoly = 0,
LinearMap.det φ = 0,
⊥ < ker φ,
∃ (m : M), m ≠ 0 ∧ φ m = 0 ] := by
tfae_have 1 ↔ 2 := Module.End.hasEigenvalue_iff_isRoot
tfae_have 2 → 3 := by
obtain ⟨F, hF⟩ := minpoly_dvd_charpoly φ
simp only [IsRoot.def, constantCoeff_apply, coeff_zero_eq_eval_zero, hF, eval_mul]
intro h; rw [h, zero_mul]
tfae_have 3 → 4 := by
rw [← LinearMap.det_toMatrix (chooseBasis K M), Matrix.det_eq_sign_charpoly_coeff,
constantCoeff_apply, charpoly]
intro h; rw [h, mul_zero]
tfae_have 4 → 5 := bot_lt_ker_of_det_eq_zero
tfae_have 5 → 6 := by
contrapose!
simp only [not_bot_lt_iff, eq_bot_iff]
intro h x
simp only [mem_ker, Submodule.mem_bot]
contrapose!
apply h
tfae_have 6 → 1
| ⟨x, h1, h2⟩ => by
| Mathlib/LinearAlgebra/Eigenspace/Zero.lean | 80 | 111 |
/-
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.AlgebraMap
import Mathlib.Algebra.Polynomial.Reverse
import Mathlib.Algebra.Polynomial.Inductions
import Mathlib.RingTheory.Localization.Away.Basic
/-! # Laurent polynomials
We introduce Laurent polynomials over a semiring `R`. Mathematically, they are expressions of the
form
$$
\sum_{i \in \mathbb{Z}} a_i T ^ i
$$
where the sum extends over a finite subset of `ℤ`. Thus, negative exponents are allowed. The
coefficients come from the semiring `R` and the variable `T` commutes with everything.
Since we are going to convert back and forth between polynomials and Laurent polynomials, we
decided to maintain some distinction by using the symbol `T`, rather than `X`, as the variable for
Laurent polynomials.
## Notation
The symbol `R[T;T⁻¹]` stands for `LaurentPolynomial R`. We also define
* `C : R →+* R[T;T⁻¹]` the inclusion of constant polynomials, analogous to the one for `R[X]`;
* `T : ℤ → R[T;T⁻¹]` the sequence of powers of the variable `T`.
## Implementation notes
We define Laurent polynomials as `AddMonoidAlgebra R ℤ`.
Thus, they are essentially `Finsupp`s `ℤ →₀ R`.
This choice differs from the current irreducible design of `Polynomial`, that instead shields away
the implementation via `Finsupp`s. It is closer to the original definition of polynomials.
As a consequence, `LaurentPolynomial` plays well with polynomials, but there is a little roughness
in establishing the API, since the `Finsupp` implementation of `R[X]` is well-shielded.
Unlike the case of polynomials, I felt that the exponent notation was not too easy to use, as only
natural exponents would be allowed. Moreover, in the end, it seems likely that we should aim to
perform computations on exponents in `ℤ` anyway and separating this via the symbol `T` seems
convenient.
I made a *heavy* use of `simp` lemmas, aiming to bring Laurent polynomials to the form `C a * T n`.
Any comments or suggestions for improvements is greatly appreciated!
## Future work
Lots is missing!
-- (Riccardo) add inclusion into Laurent series.
-- A "better" definition of `trunc` would be as an `R`-linear map. This works:
-- ```
-- def trunc : R[T;T⁻¹] →[R] R[X] :=
-- refine (?_ : R[ℕ] →[R] R[X]).comp ?_
-- · exact ⟨(toFinsuppIso R).symm, by simp⟩
-- · refine ⟨fun r ↦ comapDomain _ r
-- (Set.injOn_of_injective (fun _ _ ↦ Int.ofNat.inj) _), ?_⟩
-- exact fun r f ↦ comapDomain_smul ..
-- ```
-- but it would make sense to bundle the maps better, for a smoother user experience.
-- I (DT) did not have the strength to embark on this (possibly short!) journey, after getting to
-- this stage of the Laurent process!
-- This would likely involve adding a `comapDomain` analogue of
-- `AddMonoidAlgebra.mapDomainAlgHom` and an `R`-linear version of
-- `Polynomial.toFinsuppIso`.
-- Add `degree, intDegree, intTrailingDegree, leadingCoeff, trailingCoeff,...`.
-/
open Polynomial Function AddMonoidAlgebra Finsupp
noncomputable section
variable {R S : Type*}
/-- The semiring of Laurent polynomials with coefficients in the semiring `R`.
We denote it by `R[T;T⁻¹]`.
The ring homomorphism `C : R →+* R[T;T⁻¹]` includes `R` as the constant polynomials. -/
abbrev LaurentPolynomial (R : Type*) [Semiring R] :=
AddMonoidAlgebra R ℤ
@[nolint docBlame]
scoped[LaurentPolynomial] notation:9000 R "[T;T⁻¹]" => LaurentPolynomial R
open LaurentPolynomial
@[ext]
theorem LaurentPolynomial.ext [Semiring R] {p q : R[T;T⁻¹]} (h : ∀ a, p a = q a) : p = q :=
Finsupp.ext h
/-- The ring homomorphism, taking a polynomial with coefficients in `R` to a Laurent polynomial
with coefficients in `R`. -/
def Polynomial.toLaurent [Semiring R] : R[X] →+* R[T;T⁻¹] :=
(mapDomainRingHom R Int.ofNatHom).comp (toFinsuppIso R)
/-- This is not a simp lemma, as it is usually preferable to use the lemmas about `C` and `X`
instead. -/
theorem Polynomial.toLaurent_apply [Semiring R] (p : R[X]) :
toLaurent p = p.toFinsupp.mapDomain (↑) :=
rfl
/-- The `R`-algebra map, taking a polynomial with coefficients in `R` to a Laurent polynomial
with coefficients in `R`. -/
def Polynomial.toLaurentAlg [CommSemiring R] : R[X] →ₐ[R] R[T;T⁻¹] :=
(mapDomainAlgHom R R Int.ofNatHom).comp (toFinsuppIsoAlg R).toAlgHom
@[simp] lemma Polynomial.coe_toLaurentAlg [CommSemiring R] :
(toLaurentAlg : R[X] → R[T;T⁻¹]) = toLaurent :=
rfl
theorem Polynomial.toLaurentAlg_apply [CommSemiring R] (f : R[X]) : toLaurentAlg f = toLaurent f :=
rfl
namespace LaurentPolynomial
section Semiring
variable [Semiring R]
theorem single_zero_one_eq_one : (Finsupp.single 0 1 : R[T;T⁻¹]) = (1 : R[T;T⁻¹]) :=
rfl
/-! ### The functions `C` and `T`. -/
/-- The ring homomorphism `C`, including `R` into the ring of Laurent polynomials over `R` as
the constant Laurent polynomials. -/
def C : R →+* R[T;T⁻¹] :=
singleZeroRingHom
theorem algebraMap_apply {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (r : R) :
algebraMap R (LaurentPolynomial A) r = C (algebraMap R A r) :=
rfl
/-- When we have `[CommSemiring R]`, the function `C` is the same as `algebraMap R R[T;T⁻¹]`.
(But note that `C` is defined when `R` is not necessarily commutative, in which case
`algebraMap` is not available.)
-/
theorem C_eq_algebraMap {R : Type*} [CommSemiring R] (r : R) : C r = algebraMap R R[T;T⁻¹] r :=
rfl
theorem single_eq_C (r : R) : Finsupp.single 0 r = C r := rfl
@[simp] lemma C_apply (t : R) (n : ℤ) : C t n = if n = 0 then t else 0 := by
rw [← single_eq_C, Finsupp.single_apply]; aesop
/-- The function `n ↦ T ^ n`, implemented as a sequence `ℤ → R[T;T⁻¹]`.
Using directly `T ^ n` does not work, since we want the exponents to be of Type `ℤ` and there
is no `ℤ`-power defined on `R[T;T⁻¹]`. Using that `T` is a unit introduces extra coercions.
For these reasons, the definition of `T` is as a sequence. -/
def T (n : ℤ) : R[T;T⁻¹] :=
Finsupp.single n 1
@[simp] lemma T_apply (m n : ℤ) : (T n : R[T;T⁻¹]) m = if n = m then 1 else 0 :=
Finsupp.single_apply
@[simp]
theorem T_zero : (T 0 : R[T;T⁻¹]) = 1 :=
rfl
theorem T_add (m n : ℤ) : (T (m + n) : R[T;T⁻¹]) = T m * T n := by
simp [T, single_mul_single]
theorem T_sub (m n : ℤ) : (T (m - n) : R[T;T⁻¹]) = T m * T (-n) := by rw [← T_add, sub_eq_add_neg]
@[simp]
theorem T_pow (m : ℤ) (n : ℕ) : (T m ^ n : R[T;T⁻¹]) = T (n * m) := by
rw [T, T, single_pow n, one_pow, nsmul_eq_mul]
/-- The `simp` version of `mul_assoc`, in the presence of `T`'s. -/
@[simp]
theorem mul_T_assoc (f : R[T;T⁻¹]) (m n : ℤ) : f * T m * T n = f * T (m + n) := by
simp [← T_add, mul_assoc]
@[simp]
theorem single_eq_C_mul_T (r : R) (n : ℤ) :
(Finsupp.single n r : R[T;T⁻¹]) = (C r * T n : R[T;T⁻¹]) := by
simp [C, T, single_mul_single]
-- This lemma locks in the right changes and is what Lean proved directly.
-- The actual `simp`-normal form of a Laurent monomial is `C a * T n`, whenever it can be reached.
@[simp]
theorem _root_.Polynomial.toLaurent_C_mul_T (n : ℕ) (r : R) :
(toLaurent (Polynomial.monomial n r) : R[T;T⁻¹]) = C r * T n :=
show Finsupp.mapDomain (↑) (monomial n r).toFinsupp = (C r * T n : R[T;T⁻¹]) by
rw [toFinsupp_monomial, Finsupp.mapDomain_single, single_eq_C_mul_T]
@[simp]
theorem _root_.Polynomial.toLaurent_C (r : R) : toLaurent (Polynomial.C r) = C r := by
convert Polynomial.toLaurent_C_mul_T 0 r
simp only [Int.ofNat_zero, T_zero, mul_one]
@[simp]
theorem _root_.Polynomial.toLaurent_comp_C : toLaurent (R := R) ∘ Polynomial.C = C :=
funext Polynomial.toLaurent_C
@[simp]
theorem _root_.Polynomial.toLaurent_X : (toLaurent Polynomial.X : R[T;T⁻¹]) = T 1 := by
have : (Polynomial.X : R[X]) = monomial 1 1 := by simp [← C_mul_X_pow_eq_monomial]
simp [this, Polynomial.toLaurent_C_mul_T]
@[simp]
theorem _root_.Polynomial.toLaurent_one : (Polynomial.toLaurent : R[X] → R[T;T⁻¹]) 1 = 1 :=
map_one Polynomial.toLaurent
@[simp]
theorem _root_.Polynomial.toLaurent_C_mul_eq (r : R) (f : R[X]) :
toLaurent (Polynomial.C r * f) = C r * toLaurent f := by
simp only [map_mul, Polynomial.toLaurent_C]
@[simp]
theorem _root_.Polynomial.toLaurent_X_pow (n : ℕ) : toLaurent (X ^ n : R[X]) = T n := by
simp only [map_pow, Polynomial.toLaurent_X, T_pow, mul_one]
theorem _root_.Polynomial.toLaurent_C_mul_X_pow (n : ℕ) (r : R) :
toLaurent (Polynomial.C r * X ^ n) = C r * T n := by
simp only [map_mul, Polynomial.toLaurent_C, Polynomial.toLaurent_X_pow]
instance invertibleT (n : ℤ) : Invertible (T n : R[T;T⁻¹]) where
invOf := T (-n)
invOf_mul_self := by rw [← T_add, neg_add_cancel, T_zero]
mul_invOf_self := by rw [← T_add, add_neg_cancel, T_zero]
@[simp]
theorem invOf_T (n : ℤ) : ⅟ (T n : R[T;T⁻¹]) = T (-n) :=
rfl
theorem isUnit_T (n : ℤ) : IsUnit (T n : R[T;T⁻¹]) :=
isUnit_of_invertible _
@[elab_as_elim]
protected theorem induction_on {M : R[T;T⁻¹] → Prop} (p : R[T;T⁻¹]) (h_C : ∀ a, M (C a))
(h_add : ∀ {p q}, M p → M q → M (p + q))
(h_C_mul_T : ∀ (n : ℕ) (a : R), M (C a * T n) → M (C a * T (n + 1)))
(h_C_mul_T_Z : ∀ (n : ℕ) (a : R), M (C a * T (-n)) → M (C a * T (-n - 1))) : M p := by
have A : ∀ {n : ℤ} {a : R}, M (C a * T n) := by
intro n a
refine Int.induction_on n ?_ ?_ ?_
· simpa only [T_zero, mul_one] using h_C a
· exact fun m => h_C_mul_T m a
· exact fun m => h_C_mul_T_Z m a
have B : ∀ s : Finset ℤ, M (s.sum fun n : ℤ => C (p.toFun n) * T n) := by
apply Finset.induction
· convert h_C 0
simp only [Finset.sum_empty, map_zero]
· intro n s ns ih
rw [Finset.sum_insert ns]
exact h_add A ih
convert B p.support
ext a
simp_rw [← single_eq_C_mul_T]
-- Porting note: did not make progress in `simp_rw`
rw [Finset.sum_apply']
simp_rw [Finsupp.single_apply, Finset.sum_ite_eq']
split_ifs with h
· rfl
· exact Finsupp.not_mem_support_iff.mp h
/-- To prove something about Laurent polynomials, it suffices to show that
* the condition is closed under taking sums, and
* it holds for monomials.
-/
@[elab_as_elim]
protected theorem induction_on' {motive : R[T;T⁻¹] → Prop} (p : R[T;T⁻¹])
(add : ∀ p q, motive p → motive q → motive (p + q))
(C_mul_T : ∀ (n : ℤ) (a : R), motive (C a * T n)) : motive p := by
refine p.induction_on (fun a => ?_) (fun {p q} => add p q) ?_ ?_ <;>
try exact fun n f _ => C_mul_T _ f
convert C_mul_T 0 a
exact (mul_one _).symm
theorem commute_T (n : ℤ) (f : R[T;T⁻¹]) : Commute (T n) f :=
f.induction_on' (fun _ _ Tp Tq => Commute.add_right Tp Tq) fun m a =>
show T n * _ = _ by
rw [T, T, ← single_eq_C, single_mul_single, single_mul_single, single_mul_single]
simp [add_comm]
@[simp]
theorem T_mul (n : ℤ) (f : R[T;T⁻¹]) : T n * f = f * T n :=
(commute_T n f).eq
theorem smul_eq_C_mul (r : R) (f : R[T;T⁻¹]) : r • f = C r * f := by
induction f using LaurentPolynomial.induction_on' with
| add _ _ hp hq =>
rw [smul_add, mul_add, hp, hq]
| C_mul_T n s =>
rw [← mul_assoc, ← smul_mul_assoc, mul_left_inj_of_invertible, ← map_mul, ← single_eq_C,
Finsupp.smul_single', single_eq_C]
/-- `trunc : R[T;T⁻¹] →+ R[X]` maps a Laurent polynomial `f` to the polynomial whose terms of
nonnegative degree coincide with the ones of `f`. The terms of negative degree of `f` "vanish".
`trunc` is a left-inverse to `Polynomial.toLaurent`. -/
def trunc : R[T;T⁻¹] →+ R[X] :=
(toFinsuppIso R).symm.toAddMonoidHom.comp <| comapDomain.addMonoidHom fun _ _ => Int.ofNat.inj
@[simp]
theorem trunc_C_mul_T (n : ℤ) (r : R) : trunc (C r * T n) = ite (0 ≤ n) (monomial n.toNat r) 0 := by
apply (toFinsuppIso R).injective
rw [← single_eq_C_mul_T, trunc, AddMonoidHom.coe_comp, Function.comp_apply]
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/11224): was `rw`
erw [comapDomain.addMonoidHom_apply Int.ofNat_injective]
rw [toFinsuppIso_apply]
split_ifs with n0
· rw [toFinsupp_monomial]
lift n to ℕ using n0
apply comapDomain_single
· rw [toFinsupp_inj]
ext a
have : n ≠ a := by omega
simp only [coeff_ofFinsupp, comapDomain_apply, Int.ofNat_eq_coe, coeff_zero,
single_eq_of_ne this]
@[simp]
theorem leftInverse_trunc_toLaurent :
Function.LeftInverse (trunc : R[T;T⁻¹] → R[X]) Polynomial.toLaurent := by
refine fun f => f.induction_on' ?_ ?_
· intro f g hf hg
simp only [hf, hg, map_add]
· intro n r
simp only [Polynomial.toLaurent_C_mul_T, trunc_C_mul_T, Int.natCast_nonneg, Int.toNat_natCast,
if_true]
@[simp]
theorem _root_.Polynomial.trunc_toLaurent (f : R[X]) : trunc (toLaurent f) = f :=
leftInverse_trunc_toLaurent _
theorem _root_.Polynomial.toLaurent_injective :
Function.Injective (Polynomial.toLaurent : R[X] → R[T;T⁻¹]) :=
leftInverse_trunc_toLaurent.injective
@[simp]
theorem _root_.Polynomial.toLaurent_inj (f g : R[X]) : toLaurent f = toLaurent g ↔ f = g :=
⟨fun h => Polynomial.toLaurent_injective h, congr_arg _⟩
theorem _root_.Polynomial.toLaurent_ne_zero {f : R[X]} : toLaurent f ≠ 0 ↔ f ≠ 0 :=
map_ne_zero_iff _ Polynomial.toLaurent_injective
@[simp]
theorem _root_.Polynomial.toLaurent_eq_zero {f : R[X]} : toLaurent f = 0 ↔ f = 0 :=
map_eq_zero_iff _ Polynomial.toLaurent_injective
theorem exists_T_pow (f : R[T;T⁻¹]) : ∃ (n : ℕ) (f' : R[X]), toLaurent f' = f * T n := by
refine f.induction_on' ?_ fun n a => ?_ <;> clear f
· rintro f g ⟨m, fn, hf⟩ ⟨n, gn, hg⟩
refine ⟨m + n, fn * X ^ n + gn * X ^ m, ?_⟩
simp only [hf, hg, add_mul, add_comm (n : ℤ), map_add, map_mul, Polynomial.toLaurent_X_pow,
mul_T_assoc, Int.natCast_add]
· rcases n with n | n
· exact ⟨0, Polynomial.C a * X ^ n, by simp⟩
· refine ⟨n + 1, Polynomial.C a, ?_⟩
simp only [Int.negSucc_eq, Polynomial.toLaurent_C, Int.natCast_succ, mul_T_assoc,
neg_add_cancel, T_zero, mul_one]
/-- This is a version of `exists_T_pow` stated as an induction principle. -/
@[elab_as_elim]
theorem induction_on_mul_T {Q : R[T;T⁻¹] → Prop} (f : R[T;T⁻¹])
(Qf : ∀ {f : R[X]} {n : ℕ}, Q (toLaurent f * T (-n))) : Q f := by
rcases f.exists_T_pow with ⟨n, f', hf⟩
rw [← mul_one f, ← T_zero, ← Nat.cast_zero, ← Nat.sub_self n, Nat.cast_sub rfl.le, T_sub,
← mul_assoc, ← hf]
exact Qf
/-- Suppose that `Q` is a statement about Laurent polynomials such that
* `Q` is true on *ordinary* polynomials;
* `Q (f * T)` implies `Q f`;
it follow that `Q` is true on all Laurent polynomials. -/
theorem reduce_to_polynomial_of_mul_T (f : R[T;T⁻¹]) {Q : R[T;T⁻¹] → Prop}
(Qf : ∀ f : R[X], Q (toLaurent f)) (QT : ∀ f, Q (f * T 1) → Q f) : Q f := by
induction' f using LaurentPolynomial.induction_on_mul_T with f n
induction n with
| zero => simpa only [Nat.cast_zero, neg_zero, T_zero, mul_one] using Qf _
| succ n hn => convert QT _ _; simpa using hn
section Support
theorem support_C_mul_T (a : R) (n : ℤ) : Finsupp.support (C a * T n) ⊆ {n} := by
rw [← single_eq_C_mul_T]
exact support_single_subset
theorem support_C_mul_T_of_ne_zero {a : R} (a0 : a ≠ 0) (n : ℤ) :
Finsupp.support (C a * T n) = {n} := by
rw [← single_eq_C_mul_T]
exact support_single_ne_zero _ a0
/-- The support of a polynomial `f` is a finset in `ℕ`. The lemma `toLaurent_support f`
shows that the support of `f.toLaurent` is the same finset, but viewed in `ℤ` under the natural
inclusion `ℕ ↪ ℤ`. -/
theorem toLaurent_support (f : R[X]) : f.toLaurent.support = f.support.map Nat.castEmbedding := by
generalize hd : f.support = s
revert f
refine Finset.induction_on s ?_ ?_ <;> clear s
· intro f hf
rw [Finset.map_empty, Finsupp.support_eq_empty, toLaurent_eq_zero]
exact Polynomial.support_eq_empty.mp hf
· intro a s as hf f fs
have : (erase a f).toLaurent.support = s.map Nat.castEmbedding := by
refine hf (f.erase a) ?_
simp only [fs, Finset.erase_eq_of_not_mem as, Polynomial.support_erase,
Finset.erase_insert_eq_erase]
rw [← monomial_add_erase f a, Finset.map_insert, ← this, map_add, Polynomial.toLaurent_C_mul_T,
support_add_eq, Finset.insert_eq]
· congr
exact support_C_mul_T_of_ne_zero (Polynomial.mem_support_iff.mp (by simp [fs])) _
· rw [this]
exact Disjoint.mono_left (support_C_mul_T _ _) (by simpa)
end Support
section Degrees
/-- The degree of a Laurent polynomial takes values in `WithBot ℤ`.
If `f : R[T;T⁻¹]` is a Laurent polynomial, then `f.degree` is the maximum of its support of `f`,
or `⊥`, if `f = 0`. -/
def degree (f : R[T;T⁻¹]) : WithBot ℤ :=
f.support.max
@[simp]
theorem degree_zero : degree (0 : R[T;T⁻¹]) = ⊥ :=
rfl
@[simp]
theorem degree_eq_bot_iff {f : R[T;T⁻¹]} : f.degree = ⊥ ↔ f = 0 := by
refine ⟨fun h => ?_, fun h => by rw [h, degree_zero]⟩
ext n
simp only [coe_zero, Pi.zero_apply]
simp_rw [degree, Finset.max_eq_sup_withBot, Finset.sup_eq_bot_iff, Finsupp.mem_support_iff, Ne,
WithBot.coe_ne_bot, imp_false, not_not] at h
exact h n
section ExactDegrees
@[simp]
theorem degree_C_mul_T (n : ℤ) (a : R) (a0 : a ≠ 0) : degree (C a * T n) = n := by
rw [degree, support_C_mul_T_of_ne_zero a0 n]
exact Finset.max_singleton
theorem degree_C_mul_T_ite [DecidableEq R] (n : ℤ) (a : R) :
degree (C a * T n) = if a = 0 then ⊥ else ↑n := by
split_ifs with h <;>
simp only [h, map_zero, zero_mul, degree_zero, degree_C_mul_T, Ne,
not_false_iff]
@[simp]
theorem degree_T [Nontrivial R] (n : ℤ) : (T n : R[T;T⁻¹]).degree = n := by
rw [← one_mul (T n), ← map_one C]
exact degree_C_mul_T n 1 (one_ne_zero : (1 : R) ≠ 0)
theorem degree_C {a : R} (a0 : a ≠ 0) : (C a).degree = 0 := by
rw [← mul_one (C a), ← T_zero]
exact degree_C_mul_T 0 a a0
theorem degree_C_ite [DecidableEq R] (a : R) : (C a).degree = if a = 0 then ⊥ else 0 := by
split_ifs with h <;> simp only [h, map_zero, degree_zero, degree_C, Ne, not_false_iff]
end ExactDegrees
section DegreeBounds
theorem degree_C_mul_T_le (n : ℤ) (a : R) : degree (C a * T n) ≤ n := by
by_cases a0 : a = 0
· simp only [a0, map_zero, zero_mul, degree_zero, bot_le]
· exact (degree_C_mul_T n a a0).le
theorem degree_T_le (n : ℤ) : (T n : R[T;T⁻¹]).degree ≤ n :=
(le_of_eq (by rw [map_one, one_mul])).trans (degree_C_mul_T_le n (1 : R))
theorem degree_C_le (a : R) : (C a).degree ≤ 0 :=
(le_of_eq (by rw [T_zero, mul_one])).trans (degree_C_mul_T_le 0 a)
end DegreeBounds
end Degrees
instance : Module R[X] R[T;T⁻¹] :=
Module.compHom _ Polynomial.toLaurent
instance (R : Type*) [Semiring R] : IsScalarTower R[X] R[X] R[T;T⁻¹] where
smul_assoc x y z := by dsimp; simp_rw [MulAction.mul_smul]
end Semiring
section CommSemiring
variable [CommSemiring R] {S : Type*} [CommSemiring S] (f : R →+* S) (x : Sˣ)
instance algebraPolynomial (R : Type*) [CommSemiring R] : Algebra R[X] R[T;T⁻¹] where
algebraMap := Polynomial.toLaurent
commutes' := fun f l => by simp [mul_comm]
smul_def' := fun _ _ => rfl
theorem algebraMap_X_pow (n : ℕ) : algebraMap R[X] R[T;T⁻¹] (X ^ n) = T n :=
Polynomial.toLaurent_X_pow n
@[simp]
theorem algebraMap_eq_toLaurent (f : R[X]) : algebraMap R[X] R[T;T⁻¹] f = toLaurent f :=
rfl
instance isLocalization : IsLocalization.Away (X : R[X]) R[T;T⁻¹] :=
{ map_units' := fun ⟨t, ht⟩ => by
obtain ⟨n, rfl⟩ := ht
rw [algebraMap_eq_toLaurent, toLaurent_X_pow]
exact isUnit_T ↑n
surj' := fun f => by
induction' f using LaurentPolynomial.induction_on_mul_T with f n
have : X ^ n ∈ Submonoid.powers (X : R[X]) := ⟨n, rfl⟩
refine ⟨(f, ⟨_, this⟩), ?_⟩
simp only [algebraMap_eq_toLaurent, toLaurent_X_pow, mul_T_assoc, neg_add_cancel, T_zero,
mul_one]
exists_of_eq := fun {f g} => by
rw [algebraMap_eq_toLaurent, algebraMap_eq_toLaurent, Polynomial.toLaurent_inj]
rintro rfl
exact ⟨1, rfl⟩ }
theorem mk'_mul_T (p : R[X]) (n : ℕ) :
IsLocalization.mk' R[T;T⁻¹] p (⟨X^n, n, rfl⟩ : Submonoid.powers (X : R[X])) * T n =
toLaurent p := by
rw [←toLaurent_X_pow, ←algebraMap_eq_toLaurent, IsLocalization.mk'_spec, algebraMap_eq_toLaurent]
@[simp]
theorem mk'_eq (p : R[X]) (n : ℕ) :
IsLocalization.mk' R[T;T⁻¹] p (⟨X^n, n, rfl⟩ : Submonoid.powers (X : R[X])) =
toLaurent p * T (-n) := by
rw [←IsUnit.mul_left_inj (isUnit_T n), mul_T_assoc, neg_add_cancel, T_zero, mul_one]
exact mk'_mul_T p n
theorem mk'_one_X_pow (n : ℕ) :
IsLocalization.mk' R[T;T⁻¹] 1 (⟨X^n, n, rfl⟩ : Submonoid.powers (X : R[X])) = T (-n) := by
rw [mk'_eq 1 n, toLaurent_one, one_mul]
@[simp]
theorem mk'_one_X :
IsLocalization.mk' R[T;T⁻¹] 1 (⟨X, 1, pow_one X⟩ : Submonoid.powers (X : R[X])) = T (-1) := by
convert mk'_one_X_pow 1
exact (pow_one X).symm
/-- Given a ring homomorphism `f : R →+* S` and a unit `x` in `S`, the induced homomorphism
`R[T;T⁻¹] →+* S` sending `T` to `x` and `T⁻¹` to `x⁻¹`. -/
def eval₂ : R[T;T⁻¹] →+* S :=
IsLocalization.lift (M := Submonoid.powers (X : R[X])) (g := Polynomial.eval₂RingHom f x) <| by
rintro ⟨y, n, rfl⟩
simpa only [coe_eval₂RingHom, eval₂_X_pow] using x.isUnit.pow n
@[simp]
theorem eval₂_toLaurent (p : R[X]) : eval₂ f x (toLaurent p) = Polynomial.eval₂ f x p := by
unfold eval₂
rw [←algebraMap_eq_toLaurent, IsLocalization.lift_eq, coe_eval₂RingHom]
theorem eval₂_T_n (n : ℕ) : eval₂ f x (T n) = x ^ n := by
rw [←Polynomial.toLaurent_X_pow, eval₂_toLaurent, eval₂_X_pow]
theorem eval₂_T_neg_n (n : ℕ) : eval₂ f x (T (-n)) = x⁻¹ ^ n := by
rw [←mk'_one_X_pow]
unfold eval₂
rw [IsLocalization.lift_mk'_spec, map_one, coe_eval₂RingHom, eval₂_X_pow, ←mul_pow,
Units.mul_inv, one_pow]
@[simp]
theorem eval₂_T (n : ℤ) : eval₂ f x (T n) = (x ^ n).val := by
by_cases hn : 0 ≤ n
· lift n to ℕ using hn
apply eval₂_T_n
· obtain ⟨m, rfl⟩ := Int.exists_eq_neg_ofNat (Int.le_of_not_le hn)
rw [eval₂_T_neg_n, zpow_neg, zpow_natCast, ← inv_pow, Units.val_pow_eq_pow_val]
@[simp]
theorem eval₂_C (r : R) : eval₂ f x (C r) = f r := by
rw [← toLaurent_C, eval₂_toLaurent, Polynomial.eval₂_C]
theorem eval₂_C_mul_T_n (r : R) (n : ℕ) : eval₂ f x (C r * T n) = f r * x ^ n := by
rw [←Polynomial.toLaurent_C_mul_T, eval₂_toLaurent, eval₂_monomial]
theorem eval₂_C_mul_T_neg_n (r : R) (n : ℕ) : eval₂ f x (C r * T (-n)) =
f r * x⁻¹ ^ n := by rw [map_mul, eval₂_T_neg_n, eval₂_C]
@[simp]
theorem eval₂_C_mul_T (r : R) (n : ℤ) : eval₂ f x (C r * T n) = f r * (x ^ n).val := by
by_cases hn : 0 ≤ n
· lift n to ℕ using hn
rw [map_mul, eval₂_C, eval₂_T_n, zpow_natCast, Units.val_pow_eq_pow_val]
· obtain ⟨m, rfl⟩ := Int.exists_eq_neg_ofNat (Int.le_of_not_le hn)
rw [map_mul, eval₂_C, eval₂_T_neg_n, zpow_neg, zpow_natCast, ← inv_pow,
Units.val_pow_eq_pow_val]
end CommSemiring
section Inversion
variable {R : Type*} [CommSemiring R]
/-- The map which substitutes `T ↦ T⁻¹` into a Laurent polynomial. -/
def invert : R[T;T⁻¹] ≃ₐ[R] R[T;T⁻¹] := AddMonoidAlgebra.domCongr R R <| AddEquiv.neg _
@[simp] lemma invert_T (n : ℤ) : invert (T n : R[T;T⁻¹]) = T (-n) :=
AddMonoidAlgebra.domCongr_single _ _ _ _ _
@[simp] lemma invert_apply (f : R[T;T⁻¹]) (n : ℤ) : invert f n = f (-n) := rfl
@[simp] lemma invert_comp_C : invert ∘ (@C R _) = C := by ext; simp
@[simp] lemma invert_C (t : R) : invert (C t) = C t := by ext; simp
lemma involutive_invert : Involutive (invert (R := R)) := fun _ ↦ by ext; simp
@[simp] lemma invert_symm : (invert (R := R)).symm = invert := rfl
lemma toLaurent_reverse (p : R[X]) :
toLaurent p.reverse = invert (toLaurent p) * (T p.natDegree) := by
nontriviality R
induction p using Polynomial.recOnHorner with
| M0 => simp
| MC _ _ _ _ ih => simp [add_mul, ← ih]
| MX _ hp => simpa [natDegree_mul_X hp]
end Inversion
section Smeval
section SMulWithZero
variable [Semiring R] [AddCommMonoid S] [SMulWithZero R S] [Monoid S] (f g : R[T;T⁻¹]) (x y : Sˣ)
/-- Evaluate a Laurent polynomial at a unit, using scalar multiplication. -/
def smeval : S := Finsupp.sum f fun n r => r • (x ^ n).val
theorem smeval_eq_sum : f.smeval x = Finsupp.sum f fun n r => r • (x ^ n).val := rfl
theorem smeval_congr : f = g → x = y → f.smeval x = g.smeval y := by rintro rfl rfl; rfl
@[simp]
theorem smeval_zero : (0 : R[T;T⁻¹]).smeval x = (0 : S) := by
simp only [smeval_eq_sum, Finsupp.sum_zero_index]
theorem smeval_single (n : ℤ) (r : R) : smeval (Finsupp.single n r) x = r • (x ^ n).val := by
simp only [smeval_eq_sum]
rw [Finsupp.sum_single_index (zero_smul R (x ^ n).val)]
@[simp]
theorem smeval_C_mul_T_n (n : ℤ) (r : R) : (C r * T n).smeval x = r • (x ^ n).val := by
| rw [← single_eq_C_mul_T, smeval_single]
@[simp]
theorem smeval_C (r : R) : (C r).smeval x = r • 1 := by
rw [← single_eq_C, smeval_single x (0 : ℤ) r, zpow_zero, Units.val_one]
end SMulWithZero
| Mathlib/Algebra/Polynomial/Laurent.lean | 640 | 646 |
/-
Copyright (c) 2023 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Module.Synonym
import Mathlib.Algebra.Order.Monoid.Unbundled.MinMax
import Mathlib.Order.Monotone.Monovary
/-!
# Monovarying functions and algebraic operations
This file characterises the interaction of ordered algebraic structures with monovariance
of functions.
## See also
`Algebra.Order.Rearrangement` for the n-ary rearrangement inequality
-/
variable {ι α β : Type*}
/-! ### Algebraic operations on monovarying functions -/
section OrderedCommGroup
section
variable [CommGroup α] [PartialOrder α] [IsOrderedMonoid α] [PartialOrder β]
{s : Set ι} {f f₁ f₂ : ι → α} {g : ι → β}
@[to_additive (attr := simp)]
lemma monovaryOn_inv_left : MonovaryOn f⁻¹ g s ↔ AntivaryOn f g s := by
simp [MonovaryOn, AntivaryOn]
@[to_additive (attr := simp)]
lemma antivaryOn_inv_left : AntivaryOn f⁻¹ g s ↔ MonovaryOn f g s := by
simp [MonovaryOn, AntivaryOn]
@[to_additive (attr := simp)] lemma monovary_inv_left : Monovary f⁻¹ g ↔ Antivary f g := by
simp [Monovary, Antivary]
@[to_additive (attr := simp)] lemma antivary_inv_left : Antivary f⁻¹ g ↔ Monovary f g := by
simp [Monovary, Antivary]
@[to_additive] lemma MonovaryOn.mul_left (h₁ : MonovaryOn f₁ g s) (h₂ : MonovaryOn f₂ g s) :
MonovaryOn (f₁ * f₂) g s := fun _i hi _j hj hij ↦ mul_le_mul' (h₁ hi hj hij) (h₂ hi hj hij)
@[to_additive] lemma AntivaryOn.mul_left (h₁ : AntivaryOn f₁ g s) (h₂ : AntivaryOn f₂ g s) :
AntivaryOn (f₁ * f₂) g s := fun _i hi _j hj hij ↦ mul_le_mul' (h₁ hi hj hij) (h₂ hi hj hij)
@[to_additive] lemma MonovaryOn.div_left (h₁ : MonovaryOn f₁ g s) (h₂ : AntivaryOn f₂ g s) :
MonovaryOn (f₁ / f₂) g s := fun _i hi _j hj hij ↦ div_le_div'' (h₁ hi hj hij) (h₂ hi hj hij)
@[to_additive] lemma AntivaryOn.div_left (h₁ : AntivaryOn f₁ g s) (h₂ : MonovaryOn f₂ g s) :
AntivaryOn (f₁ / f₂) g s := fun _i hi _j hj hij ↦ div_le_div'' (h₁ hi hj hij) (h₂ hi hj hij)
@[to_additive] lemma MonovaryOn.pow_left (hfg : MonovaryOn f g s) (n : ℕ) :
MonovaryOn (f ^ n) g s := fun _i hi _j hj hij ↦ pow_le_pow_left' (hfg hi hj hij) _
@[to_additive] lemma AntivaryOn.pow_left (hfg : AntivaryOn f g s) (n : ℕ) :
AntivaryOn (f ^ n) g s := fun _i hi _j hj hij ↦ pow_le_pow_left' (hfg hi hj hij) _
@[to_additive]
lemma Monovary.mul_left (h₁ : Monovary f₁ g) (h₂ : Monovary f₂ g) : Monovary (f₁ * f₂) g :=
fun _i _j hij ↦ mul_le_mul' (h₁ hij) (h₂ hij)
@[to_additive]
lemma Antivary.mul_left (h₁ : Antivary f₁ g) (h₂ : Antivary f₂ g) : Antivary (f₁ * f₂) g :=
fun _i _j hij ↦ mul_le_mul' (h₁ hij) (h₂ hij)
@[to_additive]
lemma Monovary.div_left (h₁ : Monovary f₁ g) (h₂ : Antivary f₂ g) : Monovary (f₁ / f₂) g :=
fun _i _j hij ↦ div_le_div'' (h₁ hij) (h₂ hij)
@[to_additive]
lemma Antivary.div_left (h₁ : Antivary f₁ g) (h₂ : Monovary f₂ g) : Antivary (f₁ / f₂) g :=
fun _i _j hij ↦ div_le_div'' (h₁ hij) (h₂ hij)
@[to_additive] lemma Monovary.pow_left (hfg : Monovary f g) (n : ℕ) : Monovary (f ^ n) g :=
fun _i _j hij ↦ pow_le_pow_left' (hfg hij) _
@[to_additive] lemma Antivary.pow_left (hfg : Antivary f g) (n : ℕ) : Antivary (f ^ n) g :=
fun _i _j hij ↦ pow_le_pow_left' (hfg hij) _
end
section
variable [PartialOrder α] [CommGroup β] [PartialOrder β] [IsOrderedMonoid β]
{s : Set ι} {f f₁ f₂ : ι → α} {g : ι → β}
@[to_additive (attr := simp)]
lemma monovaryOn_inv_right : MonovaryOn f g⁻¹ s ↔ AntivaryOn f g s := by
simpa [MonovaryOn, AntivaryOn] using forall₂_swap
@[to_additive (attr := simp)]
lemma antivaryOn_inv_right : AntivaryOn f g⁻¹ s ↔ MonovaryOn f g s := by
simpa [MonovaryOn, AntivaryOn] using forall₂_swap
@[to_additive (attr := simp)] lemma monovary_inv_right : Monovary f g⁻¹ ↔ Antivary f g := by
simpa [Monovary, Antivary] using forall_swap
@[to_additive (attr := simp)] lemma antivary_inv_right : Antivary f g⁻¹ ↔ Monovary f g := by
simpa [Monovary, Antivary] using forall_swap
end
section
variable [CommGroup α] [PartialOrder α] [IsOrderedMonoid α]
[CommGroup β] [PartialOrder β] [IsOrderedMonoid β]
{s : Set ι} {f f₁ f₂ : ι → α} {g : ι → β}
@[to_additive] lemma monovaryOn_inv : MonovaryOn f⁻¹ g⁻¹ s ↔ MonovaryOn f g s := by simp
@[to_additive] lemma antivaryOn_inv : AntivaryOn f⁻¹ g⁻¹ s ↔ AntivaryOn f g s := by simp
@[to_additive] lemma monovary_inv : Monovary f⁻¹ g⁻¹ ↔ Monovary f g := by simp
@[to_additive] lemma antivary_inv : Antivary f⁻¹ g⁻¹ ↔ Antivary f g := by simp
end
@[to_additive] alias ⟨MonovaryOn.of_inv_left, AntivaryOn.inv_left⟩ := monovaryOn_inv_left
@[to_additive] alias ⟨AntivaryOn.of_inv_left, MonovaryOn.inv_left⟩ := antivaryOn_inv_left
@[to_additive] alias ⟨MonovaryOn.of_inv_right, AntivaryOn.inv_right⟩ := monovaryOn_inv_right
@[to_additive] alias ⟨AntivaryOn.of_inv_right, MonovaryOn.inv_right⟩ := antivaryOn_inv_right
@[to_additive] alias ⟨MonovaryOn.of_inv, MonovaryOn.inv⟩ := monovaryOn_inv
@[to_additive] alias ⟨AntivaryOn.of_inv, AntivaryOn.inv⟩ := antivaryOn_inv
@[to_additive] alias ⟨Monovary.of_inv_left, Antivary.inv_left⟩ := monovary_inv_left
@[to_additive] alias ⟨Antivary.of_inv_left, Monovary.inv_left⟩ := antivary_inv_left
@[to_additive] alias ⟨Monovary.of_inv_right, Antivary.inv_right⟩ := monovary_inv_right
@[to_additive] alias ⟨Antivary.of_inv_right, Monovary.inv_right⟩ := antivary_inv_right
@[to_additive] alias ⟨Monovary.of_inv, Monovary.inv⟩ := monovary_inv
@[to_additive] alias ⟨Antivary.of_inv, Antivary.inv⟩ := antivary_inv
end OrderedCommGroup
section LinearOrderedCommGroup
variable [PartialOrder α] [CommGroup β] [LinearOrder β] [IsOrderedMonoid β] {s : Set ι} {f : ι → α}
{g g₁ g₂ : ι → β}
@[to_additive] lemma MonovaryOn.mul_right (h₁ : MonovaryOn f g₁ s) (h₂ : MonovaryOn f g₂ s) :
MonovaryOn f (g₁ * g₂) s :=
fun _i hi _j hj hij ↦ (lt_or_lt_of_mul_lt_mul hij).elim (h₁ hi hj) <| h₂ hi hj
@[to_additive] lemma AntivaryOn.mul_right (h₁ : AntivaryOn f g₁ s) (h₂ : AntivaryOn f g₂ s) :
AntivaryOn f (g₁ * g₂) s :=
fun _i hi _j hj hij ↦ (lt_or_lt_of_mul_lt_mul hij).elim (h₁ hi hj) <| h₂ hi hj
@[to_additive] lemma MonovaryOn.div_right (h₁ : MonovaryOn f g₁ s) (h₂ : AntivaryOn f g₂ s) :
MonovaryOn f (g₁ / g₂) s :=
fun _i hi _j hj hij ↦ (lt_or_lt_of_div_lt_div hij).elim (h₁ hi hj) <| h₂ hj hi
@[to_additive] lemma AntivaryOn.div_right (h₁ : AntivaryOn f g₁ s) (h₂ : MonovaryOn f g₂ s) :
AntivaryOn f (g₁ / g₂) s :=
fun _i hi _j hj hij ↦ (lt_or_lt_of_div_lt_div hij).elim (h₁ hi hj) <| h₂ hj hi
@[to_additive] lemma MonovaryOn.pow_right (hfg : MonovaryOn f g s) (n : ℕ) :
MonovaryOn f (g ^ n) s := fun _i hi _j hj hij ↦ hfg hi hj <| lt_of_pow_lt_pow_left' _ hij
@[to_additive] lemma AntivaryOn.pow_right (hfg : AntivaryOn f g s) (n : ℕ) :
AntivaryOn f (g ^ n) s := fun _i hi _j hj hij ↦ hfg hi hj <| lt_of_pow_lt_pow_left' _ hij
@[to_additive] lemma Monovary.mul_right (h₁ : Monovary f g₁) (h₂ : Monovary f g₂) :
Monovary f (g₁ * g₂) :=
fun _i _j hij ↦ (lt_or_lt_of_mul_lt_mul hij).elim (fun h ↦ h₁ h) fun h ↦ h₂ h
@[to_additive] lemma Antivary.mul_right (h₁ : Antivary f g₁) (h₂ : Antivary f g₂) :
Antivary f (g₁ * g₂) :=
fun _i _j hij ↦ (lt_or_lt_of_mul_lt_mul hij).elim (fun h ↦ h₁ h) fun h ↦ h₂ h
@[to_additive] lemma Monovary.div_right (h₁ : Monovary f g₁) (h₂ : Antivary f g₂) :
Monovary f (g₁ / g₂) :=
fun _i _j hij ↦ (lt_or_lt_of_div_lt_div hij).elim (fun h ↦ h₁ h) fun h ↦ h₂ h
@[to_additive] lemma Antivary.div_right (h₁ : Antivary f g₁) (h₂ : Monovary f g₂) :
Antivary f (g₁ / g₂) :=
fun _i _j hij ↦ (lt_or_lt_of_div_lt_div hij).elim (fun h ↦ h₁ h) fun h ↦ h₂ h
@[to_additive] lemma Monovary.pow_right (hfg : Monovary f g) (n : ℕ) : Monovary f (g ^ n) :=
fun _i _j hij ↦ hfg <| lt_of_pow_lt_pow_left' _ hij
@[to_additive] lemma Antivary.pow_right (hfg : Antivary f g) (n : ℕ) : Antivary f (g ^ n) :=
fun _i _j hij ↦ hfg <| lt_of_pow_lt_pow_left' _ hij
end LinearOrderedCommGroup
section OrderedSemiring
variable [Semiring α] [PartialOrder α] [IsOrderedRing α] [PartialOrder β]
{s : Set ι} {f f₁ f₂ : ι → α} {g : ι → β}
lemma MonovaryOn.mul_left₀ (hf₁ : ∀ i ∈ s, 0 ≤ f₁ i) (hf₂ : ∀ i ∈ s, 0 ≤ f₂ i)
(h₁ : MonovaryOn f₁ g s) (h₂ : MonovaryOn f₂ g s) : MonovaryOn (f₁ * f₂) g s :=
fun _i hi _j hj hij ↦ mul_le_mul (h₁ hi hj hij) (h₂ hi hj hij) (hf₂ _ hi) (hf₁ _ hj)
lemma AntivaryOn.mul_left₀ (hf₁ : ∀ i ∈ s, 0 ≤ f₁ i) (hf₂ : ∀ i ∈ s, 0 ≤ f₂ i)
(h₁ : AntivaryOn f₁ g s) (h₂ : AntivaryOn f₂ g s) : AntivaryOn (f₁ * f₂) g s :=
fun _i hi _j hj hij ↦ mul_le_mul (h₁ hi hj hij) (h₂ hi hj hij) (hf₂ _ hj) (hf₁ _ hi)
lemma MonovaryOn.pow_left₀ (hf : ∀ i ∈ s, 0 ≤ f i) (hfg : MonovaryOn f g s) (n : ℕ) :
MonovaryOn (f ^ n) g s :=
fun _i hi _j hj hij ↦ pow_le_pow_left₀ (hf _ hi) (hfg hi hj hij) _
lemma AntivaryOn.pow_left₀ (hf : ∀ i ∈ s, 0 ≤ f i) (hfg : AntivaryOn f g s) (n : ℕ) :
AntivaryOn (f ^ n) g s :=
fun _i hi _j hj hij ↦ pow_le_pow_left₀ (hf _ hj) (hfg hi hj hij) _
lemma Monovary.mul_left₀ (hf₁ : 0 ≤ f₁) (hf₂ : 0 ≤ f₂) (h₁ : Monovary f₁ g) (h₂ : Monovary f₂ g) :
Monovary (f₁ * f₂) g := fun _i _j hij ↦ mul_le_mul (h₁ hij) (h₂ hij) (hf₂ _) (hf₁ _)
lemma Antivary.mul_left₀ (hf₁ : 0 ≤ f₁) (hf₂ : 0 ≤ f₂) (h₁ : Antivary f₁ g) (h₂ : Antivary f₂ g) :
Antivary (f₁ * f₂) g := fun _i _j hij ↦ mul_le_mul (h₁ hij) (h₂ hij) (hf₂ _) (hf₁ _)
lemma Monovary.pow_left₀ (hf : 0 ≤ f) (hfg : Monovary f g) (n : ℕ) : Monovary (f ^ n) g :=
fun _i _j hij ↦ pow_le_pow_left₀ (hf _) (hfg hij) _
lemma Antivary.pow_left₀ (hf : 0 ≤ f) (hfg : Antivary f g) (n : ℕ) : Antivary (f ^ n) g :=
fun _i _j hij ↦ pow_le_pow_left₀ (hf _) (hfg hij) _
end OrderedSemiring
section LinearOrderedSemiring
variable [LinearOrder α] [Semiring β] [LinearOrder β] [IsStrictOrderedRing β]
{s : Set ι} {f : ι → α} {g g₁ g₂ : ι → β}
lemma MonovaryOn.mul_right₀ (hg₁ : ∀ i ∈ s, 0 ≤ g₁ i) (hg₂ : ∀ i ∈ s, 0 ≤ g₂ i)
(h₁ : MonovaryOn f g₁ s) (h₂ : MonovaryOn f g₂ s) : MonovaryOn f (g₁ * g₂) s :=
(h₁.symm.mul_left₀ hg₁ hg₂ h₂.symm).symm
lemma AntivaryOn.mul_right₀ (hg₁ : ∀ i ∈ s, 0 ≤ g₁ i) (hg₂ : ∀ i ∈ s, 0 ≤ g₂ i)
(h₁ : AntivaryOn f g₁ s) (h₂ : AntivaryOn f g₂ s) : AntivaryOn f (g₁ * g₂) s :=
(h₁.symm.mul_left₀ hg₁ hg₂ h₂.symm).symm
lemma MonovaryOn.pow_right₀ (hg : ∀ i ∈ s, 0 ≤ g i) (hfg : MonovaryOn f g s) (n : ℕ) :
MonovaryOn f (g ^ n) s := (hfg.symm.pow_left₀ hg _).symm
lemma AntivaryOn.pow_right₀ (hg : ∀ i ∈ s, 0 ≤ g i) (hfg : AntivaryOn f g s) (n : ℕ) :
AntivaryOn f (g ^ n) s := (hfg.symm.pow_left₀ hg _).symm
lemma Monovary.mul_right₀ (hg₁ : 0 ≤ g₁) (hg₂ : 0 ≤ g₂) (h₁ : Monovary f g₁) (h₂ : Monovary f g₂) :
Monovary f (g₁ * g₂) := (h₁.symm.mul_left₀ hg₁ hg₂ h₂.symm).symm
lemma Antivary.mul_right₀ (hg₁ : 0 ≤ g₁) (hg₂ : 0 ≤ g₂) (h₁ : Antivary f g₁) (h₂ : Antivary f g₂) :
Antivary f (g₁ * g₂) := (h₁.symm.mul_left₀ hg₁ hg₂ h₂.symm).symm
lemma Monovary.pow_right₀ (hg : 0 ≤ g) (hfg : Monovary f g) (n : ℕ) : Monovary f (g ^ n) :=
(hfg.symm.pow_left₀ hg _).symm
lemma Antivary.pow_right₀ (hg : 0 ≤ g) (hfg : Antivary f g) (n : ℕ) : Antivary f (g ^ n) :=
(hfg.symm.pow_left₀ hg _).symm
end LinearOrderedSemiring
section LinearOrderedSemifield
section
variable [Semifield α] [LinearOrder α] [IsStrictOrderedRing α] [LinearOrder β]
{s : Set ι} {f f₁ f₂ : ι → α} {g g₁ g₂ : ι → β}
@[simp]
lemma monovaryOn_inv_left₀ (hf : ∀ i ∈ s, 0 < f i) : MonovaryOn f⁻¹ g s ↔ AntivaryOn f g s :=
forall₅_congr fun _i hi _j hj _ ↦ inv_le_inv₀ (hf _ hi) (hf _ hj)
@[simp]
lemma antivaryOn_inv_left₀ (hf : ∀ i ∈ s, 0 < f i) : AntivaryOn f⁻¹ g s ↔ MonovaryOn f g s :=
forall₅_congr fun _i hi _j hj _ ↦ inv_le_inv₀ (hf _ hj) (hf _ hi)
@[simp] lemma monovary_inv_left₀ (hf : StrongLT 0 f) : Monovary f⁻¹ g ↔ Antivary f g :=
forall₃_congr fun _i _j _ ↦ inv_le_inv₀ (hf _) (hf _)
@[simp] lemma antivary_inv_left₀ (hf : StrongLT 0 f) : Antivary f⁻¹ g ↔ Monovary f g :=
forall₃_congr fun _i _j _ ↦ inv_le_inv₀ (hf _) (hf _)
lemma MonovaryOn.div_left₀ (hf₁ : ∀ i ∈ s, 0 ≤ f₁ i) (hf₂ : ∀ i ∈ s, 0 < f₂ i)
(h₁ : MonovaryOn f₁ g s) (h₂ : AntivaryOn f₂ g s) : MonovaryOn (f₁ / f₂) g s :=
fun _i hi _j hj hij ↦ div_le_div₀ (hf₁ _ hj) (h₁ hi hj hij) (hf₂ _ hj) <| h₂ hi hj hij
lemma AntivaryOn.div_left₀ (hf₁ : ∀ i ∈ s, 0 ≤ f₁ i) (hf₂ : ∀ i ∈ s, 0 < f₂ i)
(h₁ : AntivaryOn f₁ g s) (h₂ : MonovaryOn f₂ g s) : AntivaryOn (f₁ / f₂) g s :=
fun _i hi _j hj hij ↦ div_le_div₀ (hf₁ _ hi) (h₁ hi hj hij) (hf₂ _ hi) <| h₂ hi hj hij
lemma Monovary.div_left₀ (hf₁ : 0 ≤ f₁) (hf₂ : StrongLT 0 f₂) (h₁ : Monovary f₁ g)
(h₂ : Antivary f₂ g) : Monovary (f₁ / f₂) g :=
fun _i _j hij ↦ div_le_div₀ (hf₁ _) (h₁ hij) (hf₂ _) <| h₂ hij
lemma Antivary.div_left₀ (hf₁ : 0 ≤ f₁) (hf₂ : StrongLT 0 f₂) (h₁ : Antivary f₁ g)
(h₂ : Monovary f₂ g) : Antivary (f₁ / f₂) g :=
fun _i _j hij ↦ div_le_div₀ (hf₁ _) (h₁ hij) (hf₂ _) <| h₂ hij
end
section
variable [LinearOrder α] [Semifield β] [LinearOrder β] [IsStrictOrderedRing β]
{s : Set ι} {f f₁ f₂ : ι → α} {g g₁ g₂ : ι → β}
@[simp]
lemma monovaryOn_inv_right₀ (hg : ∀ i ∈ s, 0 < g i) : MonovaryOn f g⁻¹ s ↔ AntivaryOn f g s :=
forall₂_swap.trans <| forall₄_congr fun i hi j hj ↦ by simp [inv_lt_inv₀ (hg _ hj) (hg _ hi)]
@[simp]
lemma antivaryOn_inv_right₀ (hg : ∀ i ∈ s, 0 < g i) : AntivaryOn f g⁻¹ s ↔ MonovaryOn f g s :=
forall₂_swap.trans <| forall₄_congr fun i hi j hj ↦ by simp [inv_lt_inv₀ (hg _ hj) (hg _ hi)]
@[simp] lemma monovary_inv_right₀ (hg : StrongLT 0 g) : Monovary f g⁻¹ ↔ Antivary f g :=
forall_swap.trans <| forall₂_congr fun i j ↦ by simp [inv_lt_inv₀ (hg _) (hg _)]
@[simp] lemma antivary_inv_right₀ (hg : StrongLT 0 g) : Antivary f g⁻¹ ↔ Monovary f g :=
forall_swap.trans <| forall₂_congr fun i j ↦ by simp [inv_lt_inv₀ (hg _) (hg _)]
lemma MonovaryOn.div_right₀ (hg₁ : ∀ i ∈ s, 0 ≤ g₁ i) (hg₂ : ∀ i ∈ s, 0 < g₂ i)
(h₁ : MonovaryOn f g₁ s) (h₂ : AntivaryOn f g₂ s) : MonovaryOn f (g₁ / g₂) s :=
(h₁.symm.div_left₀ hg₁ hg₂ h₂.symm).symm
lemma AntivaryOn.div_right₀ (hg₁ : ∀ i ∈ s, 0 ≤ g₁ i) (hg₂ : ∀ i ∈ s, 0 < g₂ i)
(h₁ : AntivaryOn f g₁ s) (h₂ : MonovaryOn f g₂ s) : AntivaryOn f (g₁ / g₂) s :=
(h₁.symm.div_left₀ hg₁ hg₂ h₂.symm).symm
lemma Monovary.div_right₀ (hg₁ : 0 ≤ g₁) (hg₂ : StrongLT 0 g₂) (h₁ : Monovary f g₁)
(h₂ : Antivary f g₂) : Monovary f (g₁ / g₂) := (h₁.symm.div_left₀ hg₁ hg₂ h₂.symm).symm
lemma Antivary.div_right₀ (hg₁ : 0 ≤ g₁) (hg₂ : StrongLT 0 g₂) (h₁ : Antivary f g₁)
(h₂ : Monovary f g₂) : Antivary f (g₁ / g₂) := (h₁.symm.div_left₀ hg₁ hg₂ h₂.symm).symm
end
section
variable [Semifield α] [LinearOrder α] [IsStrictOrderedRing α]
[Semifield β] [LinearOrder β] [IsStrictOrderedRing β]
{s : Set ι} {f f₁ f₂ : ι → α} {g g₁ g₂ : ι → β}
lemma monovaryOn_inv₀ (hf : ∀ i ∈ s, 0 < f i) (hg : ∀ i ∈ s, 0 < g i) :
MonovaryOn f⁻¹ g⁻¹ s ↔ MonovaryOn f g s := by
rw [monovaryOn_inv_left₀ hf, antivaryOn_inv_right₀ hg]
lemma antivaryOn_inv₀ (hf : ∀ i ∈ s, 0 < f i) (hg : ∀ i ∈ s, 0 < g i) :
AntivaryOn f⁻¹ g⁻¹ s ↔ AntivaryOn f g s := by
rw [antivaryOn_inv_left₀ hf, monovaryOn_inv_right₀ hg]
lemma monovary_inv₀ (hf : StrongLT 0 f) (hg : StrongLT 0 g) : Monovary f⁻¹ g⁻¹ ↔ Monovary f g := by
rw [monovary_inv_left₀ hf, antivary_inv_right₀ hg]
lemma antivary_inv₀ (hf : StrongLT 0 f) (hg : StrongLT 0 g) : Antivary f⁻¹ g⁻¹ ↔ Antivary f g := by
rw [antivary_inv_left₀ hf, monovary_inv_right₀ hg]
end
alias ⟨MonovaryOn.of_inv_left₀, AntivaryOn.inv_left₀⟩ := monovaryOn_inv_left₀
alias ⟨AntivaryOn.of_inv_left₀, MonovaryOn.inv_left₀⟩ := antivaryOn_inv_left₀
alias ⟨MonovaryOn.of_inv_right₀, AntivaryOn.inv_right₀⟩ := monovaryOn_inv_right₀
alias ⟨AntivaryOn.of_inv_right₀, MonovaryOn.inv_right₀⟩ := antivaryOn_inv_right₀
alias ⟨MonovaryOn.of_inv₀, MonovaryOn.inv₀⟩ := monovaryOn_inv₀
alias ⟨AntivaryOn.of_inv₀, AntivaryOn.inv₀⟩ := antivaryOn_inv₀
alias ⟨Monovary.of_inv_left₀, Antivary.inv_left₀⟩ := monovary_inv_left₀
alias ⟨Antivary.of_inv_left₀, Monovary.inv_left₀⟩ := antivary_inv_left₀
alias ⟨Monovary.of_inv_right₀, Antivary.inv_right₀⟩ := monovary_inv_right₀
alias ⟨Antivary.of_inv_right₀, Monovary.inv_right₀⟩ := antivary_inv_right₀
alias ⟨Monovary.of_inv₀, Monovary.inv₀⟩ := monovary_inv₀
alias ⟨Antivary.of_inv₀, Antivary.inv₀⟩ := antivary_inv₀
end LinearOrderedSemifield
/-! ### Rearrangement inequality characterisation -/
section LinearOrderedAddCommGroup
variable [Ring α] [LinearOrder α] [IsStrictOrderedRing α]
[AddCommGroup β] [LinearOrder β] [IsOrderedAddMonoid β] [Module α β]
[OrderedSMul α β] {f : ι → α} {g : ι → β} {s : Set ι}
lemma monovaryOn_iff_forall_smul_nonneg :
MonovaryOn f g s ↔ ∀ ⦃i⦄, i ∈ s → ∀ ⦃j⦄, j ∈ s → 0 ≤ (f j - f i) • (g j - g i) := by
simp_rw [smul_nonneg_iff_pos_imp_nonneg, sub_pos, sub_nonneg, forall_and]
exact (and_iff_right_of_imp MonovaryOn.symm).symm
lemma antivaryOn_iff_forall_smul_nonpos :
AntivaryOn f g s ↔ ∀ ⦃i⦄, i ∈ s → ∀ ⦃j⦄, j ∈ s → (f j - f i) • (g j - g i) ≤ 0 :=
monovaryOn_toDual_right.symm.trans <| by rw [monovaryOn_iff_forall_smul_nonneg]; rfl
lemma monovary_iff_forall_smul_nonneg : Monovary f g ↔ ∀ i j, 0 ≤ (f j - f i) • (g j - g i) :=
monovaryOn_univ.symm.trans <| monovaryOn_iff_forall_smul_nonneg.trans <| by
simp only [Set.mem_univ, forall_true_left]
lemma antivary_iff_forall_smul_nonpos : Antivary f g ↔ ∀ i j, (f j - f i) • (g j - g i) ≤ 0 :=
monovary_toDual_right.symm.trans <| by rw [monovary_iff_forall_smul_nonneg]; rfl
/-- Two functions monovary iff the rearrangement inequality holds. -/
lemma monovaryOn_iff_smul_rearrangement :
MonovaryOn f g s ↔
∀ ⦃i⦄, i ∈ s → ∀ ⦃j⦄, j ∈ s → f i • g j + f j • g i ≤ f i • g i + f j • g j :=
monovaryOn_iff_forall_smul_nonneg.trans <| forall₄_congr fun i _ j _ ↦ by
simp [smul_sub, sub_smul, ← add_sub_right_comm, le_sub_iff_add_le, add_comm (f i • g i),
add_comm (f i • g j)]
/-- Two functions antivary iff the rearrangement inequality holds. -/
lemma antivaryOn_iff_smul_rearrangement :
AntivaryOn f g s ↔
∀ ⦃i⦄, i ∈ s → ∀ ⦃j⦄, j ∈ s → f i • g i + f j • g j ≤ f i • g j + f j • g i :=
monovaryOn_toDual_right.symm.trans <| by rw [monovaryOn_iff_smul_rearrangement]; rfl
/-- Two functions monovary iff the rearrangement inequality holds. -/
lemma monovary_iff_smul_rearrangement :
Monovary f g ↔ ∀ i j, f i • g j + f j • g i ≤ f i • g i + f j • g j :=
monovaryOn_univ.symm.trans <| monovaryOn_iff_smul_rearrangement.trans <| by
simp only [Set.mem_univ, forall_true_left]
/-- Two functions antivary iff the rearrangement inequality holds. -/
lemma antivary_iff_smul_rearrangement :
Antivary f g ↔ ∀ i j, f i • g i + f j • g j ≤ f i • g j + f j • g i :=
monovary_toDual_right.symm.trans <| by rw [monovary_iff_smul_rearrangement]; rfl
alias ⟨MonovaryOn.sub_smul_sub_nonneg, _⟩ := monovaryOn_iff_forall_smul_nonneg
alias ⟨AntivaryOn.sub_smul_sub_nonpos, _⟩ := antivaryOn_iff_forall_smul_nonpos
alias ⟨Monovary.sub_smul_sub_nonneg, _⟩ := monovary_iff_forall_smul_nonneg
alias ⟨Antivary.sub_smul_sub_nonpos, _⟩ := antivary_iff_forall_smul_nonpos
alias ⟨Monovary.smul_add_smul_le_smul_add_smul, _⟩ := monovary_iff_smul_rearrangement
alias ⟨Antivary.smul_add_smul_le_smul_add_smul, _⟩ := antivary_iff_smul_rearrangement
| alias ⟨MonovaryOn.smul_add_smul_le_smul_add_smul, _⟩ := monovaryOn_iff_smul_rearrangement
alias ⟨AntivaryOn.smul_add_smul_le_smul_add_smul, _⟩ := antivaryOn_iff_smul_rearrangement
end LinearOrderedAddCommGroup
| Mathlib/Algebra/Order/Monovary.lean | 411 | 414 |
/-
Copyright (c) 2019 Alexander Bentkamp. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp, Yury Kudryashov, Yaël Dillies
-/
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.LinearAlgebra.LinearIndependent.Lemmas
import Mathlib.LinearAlgebra.Ray
import Mathlib.Tactic.GCongr
/-!
# Segments in vector spaces
In a 𝕜-vector space, we define the following objects and properties.
* `segment 𝕜 x y`: Closed segment joining `x` and `y`.
* `openSegment 𝕜 x y`: Open segment joining `x` and `y`.
## Notations
We provide the following notation:
* `[x -[𝕜] y] = segment 𝕜 x y` in locale `Convex`
## TODO
Generalize all this file to affine spaces.
Should we rename `segment` and `openSegment` to `convex.Icc` and `convex.Ioo`? Should we also
define `clopenSegment`/`convex.Ico`/`convex.Ioc`?
-/
variable {𝕜 E F G ι : Type*} {M : ι → Type*}
open Function Set
open Pointwise Convex
section OrderedSemiring
variable [Semiring 𝕜] [PartialOrder 𝕜] [AddCommMonoid E]
section SMul
variable (𝕜) [SMul 𝕜 E] {s : Set E} {x y : E}
/-- Segments in a vector space. -/
def segment (x y : E) : Set E :=
{ z : E | ∃ a b : 𝕜, 0 ≤ a ∧ 0 ≤ b ∧ a + b = 1 ∧ a • x + b • y = z }
/-- Open segment in a vector space. Note that `openSegment 𝕜 x x = {x}` instead of being `∅` when
the base semiring has some element between `0` and `1`.
Denoted as `[x -[𝕜] y]` within the `Convex` namespace. -/
def openSegment (x y : E) : Set E :=
{ z : E | ∃ a b : 𝕜, 0 < a ∧ 0 < b ∧ a + b = 1 ∧ a • x + b • y = z }
@[inherit_doc] scoped[Convex] notation (priority := high) "[" x " -[" 𝕜 "] " y "]" => segment 𝕜 x y
theorem segment_eq_image₂ (x y : E) :
[x -[𝕜] y] =
(fun p : 𝕜 × 𝕜 => p.1 • x + p.2 • y) '' { p | 0 ≤ p.1 ∧ 0 ≤ p.2 ∧ p.1 + p.2 = 1 } := by
simp only [segment, image, Prod.exists, mem_setOf_eq, exists_prop, and_assoc]
theorem openSegment_eq_image₂ (x y : E) :
openSegment 𝕜 x y =
(fun p : 𝕜 × 𝕜 => p.1 • x + p.2 • y) '' { p | 0 < p.1 ∧ 0 < p.2 ∧ p.1 + p.2 = 1 } := by
simp only [openSegment, image, Prod.exists, mem_setOf_eq, exists_prop, and_assoc]
theorem segment_symm (x y : E) : [x -[𝕜] y] = [y -[𝕜] x] :=
Set.ext fun _ =>
⟨fun ⟨a, b, ha, hb, hab, H⟩ => ⟨b, a, hb, ha, (add_comm _ _).trans hab, (add_comm _ _).trans H⟩,
fun ⟨a, b, ha, hb, hab, H⟩ =>
⟨b, a, hb, ha, (add_comm _ _).trans hab, (add_comm _ _).trans H⟩⟩
theorem openSegment_symm (x y : E) : openSegment 𝕜 x y = openSegment 𝕜 y x :=
Set.ext fun _ =>
⟨fun ⟨a, b, ha, hb, hab, H⟩ => ⟨b, a, hb, ha, (add_comm _ _).trans hab, (add_comm _ _).trans H⟩,
fun ⟨a, b, ha, hb, hab, H⟩ =>
⟨b, a, hb, ha, (add_comm _ _).trans hab, (add_comm _ _).trans H⟩⟩
theorem openSegment_subset_segment (x y : E) : openSegment 𝕜 x y ⊆ [x -[𝕜] y] :=
fun _ ⟨a, b, ha, hb, hab, hz⟩ => ⟨a, b, ha.le, hb.le, hab, hz⟩
theorem segment_subset_iff :
[x -[𝕜] y] ⊆ s ↔ ∀ a b : 𝕜, 0 ≤ a → 0 ≤ b → a + b = 1 → a • x + b • y ∈ s :=
⟨fun H a b ha hb hab => H ⟨a, b, ha, hb, hab, rfl⟩, fun H _ ⟨a, b, ha, hb, hab, hz⟩ =>
hz ▸ H a b ha hb hab⟩
theorem openSegment_subset_iff :
openSegment 𝕜 x y ⊆ s ↔ ∀ a b : 𝕜, 0 < a → 0 < b → a + b = 1 → a • x + b • y ∈ s :=
⟨fun H a b ha hb hab => H ⟨a, b, ha, hb, hab, rfl⟩, fun H _ ⟨a, b, ha, hb, hab, hz⟩ =>
hz ▸ H a b ha hb hab⟩
end SMul
open Convex
section MulActionWithZero
variable (𝕜)
variable [ZeroLEOneClass 𝕜] [MulActionWithZero 𝕜 E]
theorem left_mem_segment (x y : E) : x ∈ [x -[𝕜] y] :=
⟨1, 0, zero_le_one, le_refl 0, add_zero 1, by rw [zero_smul, one_smul, add_zero]⟩
theorem right_mem_segment (x y : E) : y ∈ [x -[𝕜] y] :=
segment_symm 𝕜 y x ▸ left_mem_segment 𝕜 y x
end MulActionWithZero
section Module
variable (𝕜)
variable [ZeroLEOneClass 𝕜] [Module 𝕜 E] {s : Set E} {x y z : E}
@[simp]
theorem segment_same (x : E) : [x -[𝕜] x] = {x} :=
Set.ext fun z =>
⟨fun ⟨a, b, _, _, hab, hz⟩ => by
simpa only [(add_smul _ _ _).symm, mem_singleton_iff, hab, one_smul, eq_comm] using hz,
fun h => mem_singleton_iff.1 h ▸ left_mem_segment 𝕜 z z⟩
theorem insert_endpoints_openSegment (x y : E) :
insert x (insert y (openSegment 𝕜 x y)) = [x -[𝕜] y] := by
simp only [subset_antisymm_iff, insert_subset_iff, left_mem_segment, right_mem_segment,
openSegment_subset_segment, true_and]
rintro z ⟨a, b, ha, hb, hab, rfl⟩
refine hb.eq_or_gt.imp ?_ fun hb' => ha.eq_or_gt.imp ?_ fun ha' => ?_
· rintro rfl
rw [← add_zero a, hab, one_smul, zero_smul, add_zero]
· rintro rfl
rw [← zero_add b, hab, one_smul, zero_smul, zero_add]
· exact ⟨a, b, ha', hb', hab, rfl⟩
variable {𝕜}
theorem mem_openSegment_of_ne_left_right (hx : x ≠ z) (hy : y ≠ z) (hz : z ∈ [x -[𝕜] y]) :
z ∈ openSegment 𝕜 x y := by
rw [← insert_endpoints_openSegment] at hz
exact (hz.resolve_left hx.symm).resolve_left hy.symm
theorem openSegment_subset_iff_segment_subset (hx : x ∈ s) (hy : y ∈ s) :
openSegment 𝕜 x y ⊆ s ↔ [x -[𝕜] y] ⊆ s := by
simp only [← insert_endpoints_openSegment, insert_subset_iff, *, true_and]
end Module
end OrderedSemiring
open Convex
section OrderedRing
variable (𝕜) [Ring 𝕜] [PartialOrder 𝕜] [AddRightMono 𝕜]
[AddCommGroup E] [AddCommGroup F] [AddCommGroup G] [Module 𝕜 E] [Module 𝕜 F]
section DenselyOrdered
variable [ZeroLEOneClass 𝕜] [Nontrivial 𝕜] [DenselyOrdered 𝕜]
@[simp]
theorem openSegment_same (x : E) : openSegment 𝕜 x x = {x} :=
Set.ext fun z =>
⟨fun ⟨a, b, _, _, hab, hz⟩ => by
simpa only [← add_smul, mem_singleton_iff, hab, one_smul, eq_comm] using hz,
fun h : z = x => by
obtain ⟨a, ha₀, ha₁⟩ := DenselyOrdered.dense (0 : 𝕜) 1 zero_lt_one
refine ⟨a, 1 - a, ha₀, sub_pos_of_lt ha₁, add_sub_cancel _ _, ?_⟩
rw [← add_smul, add_sub_cancel, one_smul, h]⟩
end DenselyOrdered
theorem segment_eq_image (x y : E) :
[x -[𝕜] y] = (fun θ : 𝕜 => (1 - θ) • x + θ • y) '' Icc (0 : 𝕜) 1 :=
Set.ext fun _ =>
⟨fun ⟨a, b, ha, hb, hab, hz⟩ =>
⟨b, ⟨hb, hab ▸ le_add_of_nonneg_left ha⟩, hab ▸ hz ▸ by simp only [add_sub_cancel_right]⟩,
fun ⟨θ, ⟨hθ₀, hθ₁⟩, hz⟩ => ⟨1 - θ, θ, sub_nonneg.2 hθ₁, hθ₀, sub_add_cancel _ _, hz⟩⟩
theorem openSegment_eq_image (x y : E) :
openSegment 𝕜 x y = (fun θ : 𝕜 => (1 - θ) • x + θ • y) '' Ioo (0 : 𝕜) 1 :=
Set.ext fun _ =>
⟨fun ⟨a, b, ha, hb, hab, hz⟩ =>
⟨b, ⟨hb, hab ▸ lt_add_of_pos_left _ ha⟩, hab ▸ hz ▸ by simp only [add_sub_cancel_right]⟩,
fun ⟨θ, ⟨hθ₀, hθ₁⟩, hz⟩ => ⟨1 - θ, θ, sub_pos.2 hθ₁, hθ₀, sub_add_cancel _ _, hz⟩⟩
theorem segment_eq_image' (x y : E) :
[x -[𝕜] y] = (fun θ : 𝕜 => x + θ • (y - x)) '' Icc (0 : 𝕜) 1 := by
convert segment_eq_image 𝕜 x y using 2
simp only [smul_sub, sub_smul, one_smul]
abel
theorem openSegment_eq_image' (x y : E) :
openSegment 𝕜 x y = (fun θ : 𝕜 => x + θ • (y - x)) '' Ioo (0 : 𝕜) 1 := by
convert openSegment_eq_image 𝕜 x y using 2
simp only [smul_sub, sub_smul, one_smul]
abel
theorem segment_eq_image_lineMap (x y : E) : [x -[𝕜] y] =
AffineMap.lineMap x y '' Icc (0 : 𝕜) 1 := by
convert segment_eq_image 𝕜 x y using 2
exact AffineMap.lineMap_apply_module _ _ _
theorem openSegment_eq_image_lineMap (x y : E) :
openSegment 𝕜 x y = AffineMap.lineMap x y '' Ioo (0 : 𝕜) 1 := by
convert openSegment_eq_image 𝕜 x y using 2
exact AffineMap.lineMap_apply_module _ _ _
@[simp]
theorem image_segment (f : E →ᵃ[𝕜] F) (a b : E) : f '' [a -[𝕜] b] = [f a -[𝕜] f b] :=
Set.ext fun x => by
simp_rw [segment_eq_image_lineMap, mem_image, exists_exists_and_eq_and, AffineMap.apply_lineMap]
@[simp]
theorem image_openSegment (f : E →ᵃ[𝕜] F) (a b : E) :
f '' openSegment 𝕜 a b = openSegment 𝕜 (f a) (f b) :=
Set.ext fun x => by
simp_rw [openSegment_eq_image_lineMap, mem_image, exists_exists_and_eq_and,
AffineMap.apply_lineMap]
@[simp]
theorem vadd_segment [AddTorsor G E] [VAddCommClass G E E] (a : G) (b c : E) :
a +ᵥ [b -[𝕜] c] = [a +ᵥ b -[𝕜] a +ᵥ c] :=
image_segment 𝕜 ⟨_, LinearMap.id, fun _ _ => vadd_comm _ _ _⟩ b c
@[simp]
theorem vadd_openSegment [AddTorsor G E] [VAddCommClass G E E] (a : G) (b c : E) :
a +ᵥ openSegment 𝕜 b c = openSegment 𝕜 (a +ᵥ b) (a +ᵥ c) :=
image_openSegment 𝕜 ⟨_, LinearMap.id, fun _ _ => vadd_comm _ _ _⟩ b c
@[simp]
theorem mem_segment_translate (a : E) {x b c} : a + x ∈ [a + b -[𝕜] a + c] ↔ x ∈ [b -[𝕜] c] := by
simp_rw [← vadd_eq_add, ← vadd_segment, vadd_mem_vadd_set_iff]
@[simp]
theorem mem_openSegment_translate (a : E) {x b c : E} :
a + x ∈ openSegment 𝕜 (a + b) (a + c) ↔ x ∈ openSegment 𝕜 b c := by
simp_rw [← vadd_eq_add, ← vadd_openSegment, vadd_mem_vadd_set_iff]
theorem segment_translate_preimage (a b c : E) :
(fun x => a + x) ⁻¹' [a + b -[𝕜] a + c] = [b -[𝕜] c] :=
Set.ext fun _ => mem_segment_translate 𝕜 a
theorem openSegment_translate_preimage (a b c : E) :
(fun x => a + x) ⁻¹' openSegment 𝕜 (a + b) (a + c) = openSegment 𝕜 b c :=
Set.ext fun _ => mem_openSegment_translate 𝕜 a
theorem segment_translate_image (a b c : E) : (fun x => a + x) '' [b -[𝕜] c] = [a + b -[𝕜] a + c] :=
segment_translate_preimage 𝕜 a b c ▸ image_preimage_eq _ <| add_left_surjective a
theorem openSegment_translate_image (a b c : E) :
(fun x => a + x) '' openSegment 𝕜 b c = openSegment 𝕜 (a + b) (a + c) :=
openSegment_translate_preimage 𝕜 a b c ▸ image_preimage_eq _ <| add_left_surjective a
lemma segment_inter_subset_endpoint_of_linearIndependent_sub
{c x y : E} (h : LinearIndependent 𝕜 ![x - c, y - c]) :
[c -[𝕜] x] ∩ [c -[𝕜] y] ⊆ {c} := by
intro z ⟨hzt, hzs⟩
rw [segment_eq_image, mem_image] at hzt hzs
rcases hzt with ⟨p, ⟨p0, p1⟩, rfl⟩
rcases hzs with ⟨q, ⟨q0, q1⟩, H⟩
have Hx : x = (x - c) + c := by abel
have Hy : y = (y - c) + c := by abel
rw [Hx, Hy, smul_add, smul_add] at H
have : c + q • (y - c) = c + p • (x - c) := by
convert H using 1 <;> simp [sub_smul]
obtain ⟨rfl, rfl⟩ : p = 0 ∧ q = 0 := h.eq_zero_of_pair' ((add_right_inj c).1 this).symm
simp
lemma segment_inter_eq_endpoint_of_linearIndependent_sub [ZeroLEOneClass 𝕜]
{c x y : E} (h : LinearIndependent 𝕜 ![x - c, y - c]) :
[c -[𝕜] x] ∩ [c -[𝕜] y] = {c} := by
refine (segment_inter_subset_endpoint_of_linearIndependent_sub 𝕜 h).antisymm ?_
simp [singleton_subset_iff, left_mem_segment]
end OrderedRing
theorem sameRay_of_mem_segment [CommRing 𝕜] [PartialOrder 𝕜] [IsStrictOrderedRing 𝕜]
[AddCommGroup E] [Module 𝕜 E] {x y z : E}
(h : x ∈ [y -[𝕜] z]) : SameRay 𝕜 (x - y) (z - x) := by
rw [segment_eq_image'] at h
rcases h with ⟨θ, ⟨hθ₀, hθ₁⟩, rfl⟩
simpa only [add_sub_cancel_left, ← sub_sub, sub_smul, one_smul] using
(SameRay.sameRay_nonneg_smul_left (z - y) hθ₀).nonneg_smul_right (sub_nonneg.2 hθ₁)
lemma segment_inter_eq_endpoint_of_linearIndependent_of_ne
[CommRing 𝕜] [PartialOrder 𝕜] [IsOrderedRing 𝕜] [NoZeroDivisors 𝕜]
[AddCommGroup E] [Module 𝕜 E]
{x y : E} (h : LinearIndependent 𝕜 ![x, y]) {s t : 𝕜} (hs : s ≠ t) (c : E) :
[c + x -[𝕜] c + t • y] ∩ [c + x -[𝕜] c + s • y] = {c + x} := by
apply segment_inter_eq_endpoint_of_linearIndependent_sub
simp only [add_sub_add_left_eq_sub]
suffices H : LinearIndependent 𝕜 ![(-1 : 𝕜) • x + t • y, (-1 : 𝕜) • x + s • y] by
convert H using 1; simp only [neg_smul, one_smul]; abel_nf
nontriviality 𝕜
rw [LinearIndependent.pair_add_smul_add_smul_iff]
aesop
section LinearOrderedRing
variable [Ring 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜] [AddCommGroup E] [Module 𝕜 E] {x y : E}
theorem midpoint_mem_segment [Invertible (2 : 𝕜)] (x y : E) : midpoint 𝕜 x y ∈ [x -[𝕜] y] := by
rw [segment_eq_image_lineMap]
exact ⟨⅟ 2, ⟨invOf_nonneg.mpr zero_le_two, invOf_le_one one_le_two⟩, rfl⟩
theorem mem_segment_sub_add [Invertible (2 : 𝕜)] (x y : E) : x ∈ [x - y -[𝕜] x + y] := by
convert midpoint_mem_segment (𝕜 := 𝕜) (x - y) (x + y)
rw [midpoint_sub_add]
theorem mem_segment_add_sub [Invertible (2 : 𝕜)] (x y : E) : x ∈ [x + y -[𝕜] x - y] := by
convert midpoint_mem_segment (𝕜 := 𝕜) (x + y) (x - y)
rw [midpoint_add_sub]
@[simp]
theorem left_mem_openSegment_iff [DenselyOrdered 𝕜] [NoZeroSMulDivisors 𝕜 E] :
x ∈ openSegment 𝕜 x y ↔ x = y := by
constructor
· rintro ⟨a, b, _, hb, hab, hx⟩
refine smul_right_injective _ hb.ne' ((add_right_inj (a • x)).1 ?_)
rw [hx, ← add_smul, hab, one_smul]
· rintro rfl
rw [openSegment_same]
exact mem_singleton _
@[simp]
theorem right_mem_openSegment_iff [DenselyOrdered 𝕜] [NoZeroSMulDivisors 𝕜 E] :
y ∈ openSegment 𝕜 x y ↔ x = y := by rw [openSegment_symm, left_mem_openSegment_iff, eq_comm]
end LinearOrderedRing
section LinearOrderedSemifield
variable [Semifield 𝕜] [LinearOrder 𝕜] [IsStrictOrderedRing 𝕜] [AddCommGroup E] [Module 𝕜 E]
{x y z : E}
theorem mem_segment_iff_div :
| x ∈ [y -[𝕜] z] ↔
∃ a b : 𝕜, 0 ≤ a ∧ 0 ≤ b ∧ 0 < a + b ∧ (a / (a + b)) • y + (b / (a + b)) • z = x := by
constructor
| Mathlib/Analysis/Convex/Segment.lean | 339 | 341 |
/-
Copyright (c) 2021 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta
-/
import Mathlib.CategoryTheory.Limits.Shapes.Terminal
import Mathlib.CategoryTheory.Limits.Shapes.BinaryProducts
/-!
# Strict initial objects
This file sets up the basic theory of strict initial objects: initial objects where every morphism
to it is an isomorphism. This generalises a property of the empty set in the category of sets:
namely that the only function to the empty set is from itself.
We say `C` has strict initial objects if every initial object is strict, ie given any morphism
`f : A ⟶ I` where `I` is initial, then `f` is an isomorphism.
Strictly speaking, this says that *any* initial object must be strict, rather than that strict
initial objects exist, which turns out to be a more useful notion to formalise.
If the binary product of `X` with a strict initial object exists, it is also initial.
To show a category `C` with an initial object has strict initial objects, the most convenient way
is to show any morphism to the (chosen) initial object is an isomorphism and use
`hasStrictInitialObjects_of_initial_is_strict`.
The dual notion (strict terminal objects) occurs much less frequently in practice so is ignored.
## TODO
* Construct examples of this: `Type*`, `TopCat`, `Groupoid`, simplicial types, posets.
* Construct the bottom element of the subobject lattice given strict initials.
* Show cartesian closed categories have strict initials
## References
* https://ncatlab.org/nlab/show/strict+initial+object
-/
universe v u
namespace CategoryTheory
namespace Limits
open Category
variable (C : Type u) [Category.{v} C]
section StrictInitial
/-- We say `C` has strict initial objects if every initial object is strict, ie given any morphism
`f : A ⟶ I` where `I` is initial, then `f` is an isomorphism.
Strictly speaking, this says that *any* initial object must be strict, rather than that strict
initial objects exist.
-/
class HasStrictInitialObjects : Prop where
out : ∀ {I A : C} (f : A ⟶ I), IsInitial I → IsIso f
variable {C}
section
variable [HasStrictInitialObjects C] {I : C}
theorem IsInitial.isIso_to (hI : IsInitial I) {A : C} (f : A ⟶ I) : IsIso f :=
HasStrictInitialObjects.out f hI
theorem IsInitial.strict_hom_ext (hI : IsInitial I) {A : C} (f g : A ⟶ I) : f = g := by
haveI := hI.isIso_to f
haveI := hI.isIso_to g
exact eq_of_inv_eq_inv (hI.hom_ext (inv f) (inv g))
theorem IsInitial.subsingleton_to (hI : IsInitial I) {A : C} : Subsingleton (A ⟶ I) :=
⟨hI.strict_hom_ext⟩
/-- If `X ⟶ Y` with `Y` being a strict initial object, then `X` is also an initial object. -/
noncomputable
def IsInitial.ofStrict {X Y : C} (f : X ⟶ Y)
(hY : IsInitial Y) : IsInitial X :=
letI := hY.isIso_to f
hY.ofIso (asIso f).symm
instance (priority := 100) initial_mono_of_strict_initial_objects : InitialMonoClass C where
isInitial_mono_from := fun _ hI => { right_cancellation := fun _ _ _ => hI.strict_hom_ext _ _ }
/-- If `I` is initial, then `X ⨯ I` is isomorphic to it. -/
@[simps! hom]
noncomputable def mulIsInitial (X : C) [HasBinaryProduct X I] (hI : IsInitial I) : X ⨯ I ≅ I := by
have := hI.isIso_to (prod.snd : X ⨯ I ⟶ I)
exact asIso prod.snd
@[simp]
theorem mulIsInitial_inv (X : C) [HasBinaryProduct X I] (hI : IsInitial I) :
(mulIsInitial X hI).inv = hI.to _ :=
hI.hom_ext _ _
/-- If `I` is initial, then `I ⨯ X` is isomorphic to it. -/
@[simps! hom]
noncomputable def isInitialMul (X : C) [HasBinaryProduct I X] (hI : IsInitial I) : I ⨯ X ≅ I := by
have := hI.isIso_to (prod.fst : I ⨯ X ⟶ I)
exact asIso prod.fst
@[simp]
theorem isInitialMul_inv (X : C) [HasBinaryProduct I X] (hI : IsInitial I) :
(isInitialMul X hI).inv = hI.to _ :=
hI.hom_ext _ _
variable [HasInitial C]
instance initial_isIso_to {A : C} (f : A ⟶ ⊥_ C) : IsIso f :=
initialIsInitial.isIso_to _
@[ext]
theorem initial.strict_hom_ext {A : C} (f g : A ⟶ ⊥_ C) : f = g :=
initialIsInitial.strict_hom_ext _ _
theorem initial.subsingleton_to {A : C} : Subsingleton (A ⟶ ⊥_ C) :=
initialIsInitial.subsingleton_to
/-- The product of `X` with an initial object in a category with strict initial objects is itself
initial.
This is the generalisation of the fact that `X × Empty ≃ Empty` for types (or `n * 0 = 0`).
-/
@[simps! hom]
noncomputable def mulInitial (X : C) [HasBinaryProduct X (⊥_ C)] : X ⨯ ⊥_ C ≅ ⊥_ C :=
mulIsInitial _ initialIsInitial
@[simp]
theorem mulInitial_inv (X : C) [HasBinaryProduct X (⊥_ C)] : (mulInitial X).inv = initial.to _ :=
Subsingleton.elim _ _
/-- The product of `X` with an initial object in a category with strict initial objects is itself
initial.
This is the generalisation of the fact that `Empty × X ≃ Empty` for types (or `0 * n = 0`).
-/
@[simps! hom]
noncomputable def initialMul (X : C) [HasBinaryProduct (⊥_ C) X] : (⊥_ C) ⨯ X ≅ ⊥_ C :=
isInitialMul _ initialIsInitial
@[simp]
theorem initialMul_inv (X : C) [HasBinaryProduct (⊥_ C) X] : (initialMul X).inv = initial.to _ :=
Subsingleton.elim _ _
end
/-- If `C` has an initial object such that every morphism *to* it is an isomorphism, then `C`
has strict initial objects. -/
theorem hasStrictInitialObjects_of_initial_is_strict [HasInitial C]
(h : ∀ (A) (f : A ⟶ ⊥_ C), IsIso f) : HasStrictInitialObjects C :=
{ out := fun {I A} f hI =>
haveI := h A (f ≫ hI.to _)
⟨⟨hI.to _ ≫ inv (f ≫ hI.to (⊥_ C)), by rw [← assoc, IsIso.hom_inv_id], hI.hom_ext _ _⟩⟩ }
end StrictInitial
section StrictTerminal
/-- We say `C` has strict terminal objects if every terminal object is strict, ie given any morphism
`f : I ⟶ A` where `I` is terminal, then `f` is an isomorphism.
Strictly speaking, this says that *any* terminal object must be strict, rather than that strict
terminal objects exist.
-/
class HasStrictTerminalObjects : Prop where
out : ∀ {I A : C} (f : I ⟶ A), IsTerminal I → IsIso f
variable {C}
section
variable [HasStrictTerminalObjects C] {I : C}
theorem IsTerminal.isIso_from (hI : IsTerminal I) {A : C} (f : I ⟶ A) : IsIso f :=
HasStrictTerminalObjects.out f hI
theorem IsTerminal.strict_hom_ext (hI : IsTerminal I) {A : C} (f g : I ⟶ A) : f = g := by
haveI := hI.isIso_from f
haveI := hI.isIso_from g
exact eq_of_inv_eq_inv (hI.hom_ext (inv f) (inv g))
/-- If `X ⟶ Y` with `Y` being a strict terminal object, then `X` is also an terminal object. -/
noncomputable
def IsTerminal.ofStrict {X Y : C} (f : X ⟶ Y)
(hY : IsTerminal X) : IsTerminal Y :=
letI := hY.isIso_from f
hY.ofIso (asIso f)
theorem IsTerminal.subsingleton_to (hI : IsTerminal I) {A : C} : Subsingleton (I ⟶ A) :=
⟨hI.strict_hom_ext⟩
variable {J : Type v} [SmallCategory J]
/-- If all but one object in a diagram is strict terminal, then the limit is isomorphic to the
said object via `limit.π`. -/
theorem limit_π_isIso_of_is_strict_terminal (F : J ⥤ C) [HasLimit F] (i : J)
(H : ∀ (j) (_ : j ≠ i), IsTerminal (F.obj j)) [Subsingleton (i ⟶ i)] : IsIso (limit.π F i) := by
classical
refine ⟨⟨limit.lift _ ⟨_, ⟨?_, ?_⟩⟩, ?_, ?_⟩⟩
· exact fun j =>
dite (j = i)
(fun h => eqToHom (by cases h; rfl))
fun h => (H _ h).from _
· intro j k f
split_ifs with h h_1 h_1
· cases h
cases h_1
obtain rfl : f = 𝟙 _ := Subsingleton.elim _ _
simp
· cases h
erw [Category.comp_id]
haveI : IsIso (F.map f) := (H _ h_1).isIso_from _
rw [← IsIso.comp_inv_eq]
apply (H _ h_1).hom_ext
· cases h_1
apply (H _ h).hom_ext
· apply (H _ h).hom_ext
· ext
rw [assoc, limit.lift_π]
dsimp only
split_ifs with h
· cases h
rw [id_comp, eqToHom_refl]
exact comp_id _
· apply (H _ h).hom_ext
· rw [limit.lift_π]
simp
variable [HasTerminal C]
instance terminal_isIso_from {A : C} (f : ⊤_ C ⟶ A) : IsIso f :=
terminalIsTerminal.isIso_from _
@[ext]
theorem terminal.strict_hom_ext {A : C} (f g : ⊤_ C ⟶ A) : f = g :=
terminalIsTerminal.strict_hom_ext _ _
theorem terminal.subsingleton_to {A : C} : Subsingleton (⊤_ C ⟶ A) :=
terminalIsTerminal.subsingleton_to
end
/-- If `C` has an object such that every morphism *from* it is an isomorphism, then `C`
has strict terminal objects. -/
theorem hasStrictTerminalObjects_of_terminal_is_strict (I : C) (h : ∀ (A) (f : I ⟶ A), IsIso f) :
HasStrictTerminalObjects C :=
{ out := fun {I' A} f hI' =>
haveI := h A (hI'.from _ ≫ f)
⟨⟨inv (hI'.from I ≫ f) ≫ hI'.from I, hI'.hom_ext _ _, by rw [assoc, IsIso.inv_hom_id]⟩⟩ }
end StrictTerminal
end Limits
end CategoryTheory
| Mathlib/CategoryTheory/Limits/Shapes/StrictInitial.lean | 259 | 263 | |
/-
Copyright (c) 2024 Judith Ludwig, Christian Merten. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Judith Ludwig, Christian Merten
-/
import Mathlib.RingTheory.AdicCompletion.Basic
import Mathlib.RingTheory.AdicCompletion.Algebra
import Mathlib.Algebra.DirectSum.Basic
/-!
# Functoriality of adic completions
In this file we establish functorial properties of the adic completion.
## Main definitions
- `AdicCauchySequence.map I f`: the linear map on `I`-adic cauchy sequences induced by `f`
- `AdicCompletion.map I f`: the linear map on `I`-adic completions induced by `f`
## Main results
- `sumEquivOfFintype`: adic completion commutes with finite sums
- `piEquivOfFintype`: adic completion commutes with finite products
-/
suppress_compilation
variable {R : Type*} [CommRing R] (I : Ideal R)
variable {M : Type*} [AddCommGroup M] [Module R M]
variable {N : Type*} [AddCommGroup N] [Module R N]
variable {P : Type*} [AddCommGroup P] [Module R P]
variable {T : Type*} [AddCommGroup T] [Module (AdicCompletion I R) T]
namespace LinearMap
/-- `R`-linear version of `reduceModIdeal`. -/
private def reduceModIdealAux (f : M →ₗ[R] N) :
M ⧸ (I • ⊤ : Submodule R M) →ₗ[R] N ⧸ (I • ⊤ : Submodule R N) :=
Submodule.mapQ (I • ⊤ : Submodule R M) (I • ⊤ : Submodule R N) f
(fun x hx ↦ by
refine Submodule.smul_induction_on hx (fun r hr x _ ↦ ?_) (fun x y hx hy ↦ ?_)
· simp [Submodule.smul_mem_smul hr Submodule.mem_top]
· simp [Submodule.add_mem _ hx hy])
@[local simp]
private theorem reduceModIdealAux_apply (f : M →ₗ[R] N) (x : M) :
(f.reduceModIdealAux I) (Submodule.Quotient.mk (p := (I • ⊤ : Submodule R M)) x) =
Submodule.Quotient.mk (p := (I • ⊤ : Submodule R N)) (f x) :=
rfl
/-- The induced linear map on the quotients mod `I • ⊤`. -/
def reduceModIdeal (f : M →ₗ[R] N) :
M ⧸ (I • ⊤ : Submodule R M) →ₗ[R ⧸ I] N ⧸ (I • ⊤ : Submodule R N) where
toFun := f.reduceModIdealAux I
map_add' := by simp
map_smul' r x := by
refine Quotient.inductionOn' r (fun r ↦ ?_)
refine Quotient.inductionOn' x (fun x ↦ ?_)
simp only [Submodule.Quotient.mk''_eq_mk, Ideal.Quotient.mk_eq_mk, Module.Quotient.mk_smul_mk,
Submodule.Quotient.mk_smul, LinearMapClass.map_smul, reduceModIdealAux_apply,
RingHomCompTriple.comp_apply]
@[simp]
theorem reduceModIdeal_apply (f : M →ₗ[R] N) (x : M) :
(f.reduceModIdeal I) (Submodule.Quotient.mk (p := (I • ⊤ : Submodule R M)) x) =
Submodule.Quotient.mk (p := (I • ⊤ : Submodule R N)) (f x) :=
rfl
end LinearMap
namespace AdicCompletion
| open LinearMap
theorem transitionMap_comp_reduceModIdeal (f : M →ₗ[R] N) {m n : ℕ}
(hmn : m ≤ n) : transitionMap I N hmn ∘ₗ f.reduceModIdeal (I ^ n) =
(f.reduceModIdeal (I ^ m) : _ →ₗ[R] _) ∘ₗ transitionMap I M hmn := by
| Mathlib/RingTheory/AdicCompletion/Functoriality.lean | 74 | 78 |
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Topology.MetricSpace.IsometricSMul
/-!
# Hausdorff distance
The Hausdorff distance on subsets of a metric (or emetric) space.
Given two subsets `s` and `t` of a metric space, their Hausdorff distance is the smallest `d`
such that any point `s` is within `d` of a point in `t`, and conversely. This quantity
is often infinite (think of `s` bounded and `t` unbounded), and therefore better
expressed in the setting of emetric spaces.
## Main definitions
This files introduces:
* `EMetric.infEdist x s`, the infimum edistance of a point `x` to a set `s` in an emetric space
* `EMetric.hausdorffEdist s t`, the Hausdorff edistance of two sets in an emetric space
* Versions of these notions on metric spaces, called respectively `Metric.infDist`
and `Metric.hausdorffDist`
## Main results
* `infEdist_closure`: the edistance to a set and its closure coincide
* `EMetric.mem_closure_iff_infEdist_zero`: a point `x` belongs to the closure of `s` iff
`infEdist x s = 0`
* `IsCompact.exists_infEdist_eq_edist`: if `s` is compact and non-empty, there exists a point `y`
which attains this edistance
* `IsOpen.exists_iUnion_isClosed`: every open set `U` can be written as the increasing union
of countably many closed subsets of `U`
* `hausdorffEdist_closure`: replacing a set by its closure does not change the Hausdorff edistance
* `hausdorffEdist_zero_iff_closure_eq_closure`: two sets have Hausdorff edistance zero
iff their closures coincide
* the Hausdorff edistance is symmetric and satisfies the triangle inequality
* in particular, closed sets in an emetric space are an emetric space
(this is shown in `EMetricSpace.closeds.emetricspace`)
* versions of these notions on metric spaces
* `hausdorffEdist_ne_top_of_nonempty_of_bounded`: if two sets in a metric space
are nonempty and bounded in a metric space, they are at finite Hausdorff edistance.
## Tags
metric space, Hausdorff distance
-/
noncomputable section
open NNReal ENNReal Topology Set Filter Pointwise Bornology
universe u v w
variable {ι : Sort*} {α : Type u} {β : Type v}
namespace EMetric
section InfEdist
variable [PseudoEMetricSpace α] [PseudoEMetricSpace β] {x y : α} {s t : Set α} {Φ : α → β}
/-! ### Distance of a point to a set as a function into `ℝ≥0∞`. -/
/-- The minimal edistance of a point to a set -/
def infEdist (x : α) (s : Set α) : ℝ≥0∞ :=
⨅ y ∈ s, edist x y
@[simp]
theorem infEdist_empty : infEdist x ∅ = ∞ :=
iInf_emptyset
theorem le_infEdist {d} : d ≤ infEdist x s ↔ ∀ y ∈ s, d ≤ edist x y := by
simp only [infEdist, le_iInf_iff]
/-- The edist to a union is the minimum of the edists -/
@[simp]
theorem infEdist_union : infEdist x (s ∪ t) = infEdist x s ⊓ infEdist x t :=
iInf_union
@[simp]
theorem infEdist_iUnion (f : ι → Set α) (x : α) : infEdist x (⋃ i, f i) = ⨅ i, infEdist x (f i) :=
iInf_iUnion f _
lemma infEdist_biUnion {ι : Type*} (f : ι → Set α) (I : Set ι) (x : α) :
infEdist x (⋃ i ∈ I, f i) = ⨅ i ∈ I, infEdist x (f i) := by simp only [infEdist_iUnion]
/-- The edist to a singleton is the edistance to the single point of this singleton -/
@[simp]
theorem infEdist_singleton : infEdist x {y} = edist x y :=
iInf_singleton
/-- The edist to a set is bounded above by the edist to any of its points -/
theorem infEdist_le_edist_of_mem (h : y ∈ s) : infEdist x s ≤ edist x y :=
iInf₂_le y h
/-- If a point `x` belongs to `s`, then its edist to `s` vanishes -/
theorem infEdist_zero_of_mem (h : x ∈ s) : infEdist x s = 0 :=
nonpos_iff_eq_zero.1 <| @edist_self _ _ x ▸ infEdist_le_edist_of_mem h
/-- The edist is antitone with respect to inclusion. -/
theorem infEdist_anti (h : s ⊆ t) : infEdist x t ≤ infEdist x s :=
iInf_le_iInf_of_subset h
/-- The edist to a set is `< r` iff there exists a point in the set at edistance `< r` -/
theorem infEdist_lt_iff {r : ℝ≥0∞} : infEdist x s < r ↔ ∃ y ∈ s, edist x y < r := by
simp_rw [infEdist, iInf_lt_iff, exists_prop]
/-- The edist of `x` to `s` is bounded by the sum of the edist of `y` to `s` and
the edist from `x` to `y` -/
theorem infEdist_le_infEdist_add_edist : infEdist x s ≤ infEdist y s + edist x y :=
calc
⨅ z ∈ s, edist x z ≤ ⨅ z ∈ s, edist y z + edist x y :=
iInf₂_mono fun _ _ => (edist_triangle _ _ _).trans_eq (add_comm _ _)
_ = (⨅ z ∈ s, edist y z) + edist x y := by simp only [ENNReal.iInf_add]
theorem infEdist_le_edist_add_infEdist : infEdist x s ≤ edist x y + infEdist y s := by
rw [add_comm]
exact infEdist_le_infEdist_add_edist
theorem edist_le_infEdist_add_ediam (hy : y ∈ s) : edist x y ≤ infEdist x s + diam s := by
simp_rw [infEdist, ENNReal.iInf_add]
refine le_iInf₂ fun i hi => ?_
calc
edist x y ≤ edist x i + edist i y := edist_triangle _ _ _
_ ≤ edist x i + diam s := add_le_add le_rfl (edist_le_diam_of_mem hi hy)
/-- The edist to a set depends continuously on the point -/
@[continuity]
theorem continuous_infEdist : Continuous fun x => infEdist x s :=
continuous_of_le_add_edist 1 (by simp) <| by
simp only [one_mul, infEdist_le_infEdist_add_edist, forall₂_true_iff]
/-- The edist to a set and to its closure coincide -/
theorem infEdist_closure : infEdist x (closure s) = infEdist x s := by
refine le_antisymm (infEdist_anti subset_closure) ?_
refine ENNReal.le_of_forall_pos_le_add fun ε εpos h => ?_
have ε0 : 0 < (ε / 2 : ℝ≥0∞) := by simpa [pos_iff_ne_zero] using εpos
have : infEdist x (closure s) < infEdist x (closure s) + ε / 2 :=
ENNReal.lt_add_right h.ne ε0.ne'
obtain ⟨y : α, ycs : y ∈ closure s, hy : edist x y < infEdist x (closure s) + ↑ε / 2⟩ :=
infEdist_lt_iff.mp this
obtain ⟨z : α, zs : z ∈ s, dyz : edist y z < ↑ε / 2⟩ := EMetric.mem_closure_iff.1 ycs (ε / 2) ε0
calc
infEdist x s ≤ edist x z := infEdist_le_edist_of_mem zs
_ ≤ edist x y + edist y z := edist_triangle _ _ _
_ ≤ infEdist x (closure s) + ε / 2 + ε / 2 := add_le_add (le_of_lt hy) (le_of_lt dyz)
_ = infEdist x (closure s) + ↑ε := by rw [add_assoc, ENNReal.add_halves]
/-- A point belongs to the closure of `s` iff its infimum edistance to this set vanishes -/
theorem mem_closure_iff_infEdist_zero : x ∈ closure s ↔ infEdist x s = 0 :=
⟨fun h => by
rw [← infEdist_closure]
exact infEdist_zero_of_mem h,
fun h =>
EMetric.mem_closure_iff.2 fun ε εpos => infEdist_lt_iff.mp <| by rwa [h]⟩
/-- Given a closed set `s`, a point belongs to `s` iff its infimum edistance to this set vanishes -/
theorem mem_iff_infEdist_zero_of_closed (h : IsClosed s) : x ∈ s ↔ infEdist x s = 0 := by
rw [← mem_closure_iff_infEdist_zero, h.closure_eq]
/-- The infimum edistance of a point to a set is positive if and only if the point is not in the
closure of the set. -/
theorem infEdist_pos_iff_not_mem_closure {x : α} {E : Set α} :
0 < infEdist x E ↔ x ∉ closure E := by
rw [mem_closure_iff_infEdist_zero, pos_iff_ne_zero]
theorem infEdist_closure_pos_iff_not_mem_closure {x : α} {E : Set α} :
0 < infEdist x (closure E) ↔ x ∉ closure E := by
rw [infEdist_closure, infEdist_pos_iff_not_mem_closure]
theorem exists_real_pos_lt_infEdist_of_not_mem_closure {x : α} {E : Set α} (h : x ∉ closure E) :
∃ ε : ℝ, 0 < ε ∧ ENNReal.ofReal ε < infEdist x E := by
rw [← infEdist_pos_iff_not_mem_closure, ENNReal.lt_iff_exists_real_btwn] at h
rcases h with ⟨ε, ⟨_, ⟨ε_pos, ε_lt⟩⟩⟩
exact ⟨ε, ⟨ENNReal.ofReal_pos.mp ε_pos, ε_lt⟩⟩
theorem disjoint_closedBall_of_lt_infEdist {r : ℝ≥0∞} (h : r < infEdist x s) :
Disjoint (closedBall x r) s := by
rw [disjoint_left]
intro y hy h'y
apply lt_irrefl (infEdist x s)
calc
infEdist x s ≤ edist x y := infEdist_le_edist_of_mem h'y
_ ≤ r := by rwa [mem_closedBall, edist_comm] at hy
_ < infEdist x s := h
/-- The infimum edistance is invariant under isometries -/
theorem infEdist_image (hΦ : Isometry Φ) : infEdist (Φ x) (Φ '' t) = infEdist x t := by
simp only [infEdist, iInf_image, hΦ.edist_eq]
@[to_additive (attr := simp)]
theorem infEdist_smul {M} [SMul M α] [IsIsometricSMul M α] (c : M) (x : α) (s : Set α) :
infEdist (c • x) (c • s) = infEdist x s :=
infEdist_image (isometry_smul _ _)
theorem _root_.IsOpen.exists_iUnion_isClosed {U : Set α} (hU : IsOpen U) :
∃ F : ℕ → Set α, (∀ n, IsClosed (F n)) ∧ (∀ n, F n ⊆ U) ∧ ⋃ n, F n = U ∧ Monotone F := by
obtain ⟨a, a_pos, a_lt_one⟩ : ∃ a : ℝ≥0∞, 0 < a ∧ a < 1 := exists_between zero_lt_one
let F := fun n : ℕ => (fun x => infEdist x Uᶜ) ⁻¹' Ici (a ^ n)
have F_subset : ∀ n, F n ⊆ U := fun n x hx ↦ by
by_contra h
have : infEdist x Uᶜ ≠ 0 := ((ENNReal.pow_pos a_pos _).trans_le hx).ne'
exact this (infEdist_zero_of_mem h)
refine ⟨F, fun n => IsClosed.preimage continuous_infEdist isClosed_Ici, F_subset, ?_, ?_⟩
· show ⋃ n, F n = U
refine Subset.antisymm (by simp only [iUnion_subset_iff, F_subset, forall_const]) fun x hx => ?_
have : ¬x ∈ Uᶜ := by simpa using hx
rw [mem_iff_infEdist_zero_of_closed hU.isClosed_compl] at this
have B : 0 < infEdist x Uᶜ := by simpa [pos_iff_ne_zero] using this
have : Filter.Tendsto (fun n => a ^ n) atTop (𝓝 0) :=
ENNReal.tendsto_pow_atTop_nhds_zero_of_lt_one a_lt_one
rcases ((tendsto_order.1 this).2 _ B).exists with ⟨n, hn⟩
simp only [mem_iUnion, mem_Ici, mem_preimage]
exact ⟨n, hn.le⟩
show Monotone F
intro m n hmn x hx
simp only [F, mem_Ici, mem_preimage] at hx ⊢
apply le_trans (pow_le_pow_right_of_le_one' a_lt_one.le hmn) hx
theorem _root_.IsCompact.exists_infEdist_eq_edist (hs : IsCompact s) (hne : s.Nonempty) (x : α) :
∃ y ∈ s, infEdist x s = edist x y := by
have A : Continuous fun y => edist x y := continuous_const.edist continuous_id
obtain ⟨y, ys, hy⟩ := hs.exists_isMinOn hne A.continuousOn
exact ⟨y, ys, le_antisymm (infEdist_le_edist_of_mem ys) (by rwa [le_infEdist])⟩
theorem exists_pos_forall_lt_edist (hs : IsCompact s) (ht : IsClosed t) (hst : Disjoint s t) :
∃ r : ℝ≥0, 0 < r ∧ ∀ x ∈ s, ∀ y ∈ t, (r : ℝ≥0∞) < edist x y := by
rcases s.eq_empty_or_nonempty with (rfl | hne)
· use 1
simp
obtain ⟨x, hx, h⟩ := hs.exists_isMinOn hne continuous_infEdist.continuousOn
have : 0 < infEdist x t :=
pos_iff_ne_zero.2 fun H => hst.le_bot ⟨hx, (mem_iff_infEdist_zero_of_closed ht).mpr H⟩
rcases ENNReal.lt_iff_exists_nnreal_btwn.1 this with ⟨r, h₀, hr⟩
exact ⟨r, ENNReal.coe_pos.mp h₀, fun y hy z hz => hr.trans_le <| le_infEdist.1 (h hy) z hz⟩
end InfEdist
/-! ### The Hausdorff distance as a function into `ℝ≥0∞`. -/
/-- The Hausdorff edistance between two sets is the smallest `r` such that each set
is contained in the `r`-neighborhood of the other one -/
irreducible_def hausdorffEdist {α : Type u} [PseudoEMetricSpace α] (s t : Set α) : ℝ≥0∞ :=
(⨆ x ∈ s, infEdist x t) ⊔ ⨆ y ∈ t, infEdist y s
section HausdorffEdist
variable [PseudoEMetricSpace α] [PseudoEMetricSpace β] {x : α} {s t u : Set α} {Φ : α → β}
/-- The Hausdorff edistance of a set to itself vanishes. -/
@[simp]
theorem hausdorffEdist_self : hausdorffEdist s s = 0 := by
simp only [hausdorffEdist_def, sup_idem, ENNReal.iSup_eq_zero]
exact fun x hx => infEdist_zero_of_mem hx
/-- The Haudorff edistances of `s` to `t` and of `t` to `s` coincide. -/
theorem hausdorffEdist_comm : hausdorffEdist s t = hausdorffEdist t s := by
simp only [hausdorffEdist_def]; apply sup_comm
/-- Bounding the Hausdorff edistance by bounding the edistance of any point
in each set to the other set -/
theorem hausdorffEdist_le_of_infEdist {r : ℝ≥0∞} (H1 : ∀ x ∈ s, infEdist x t ≤ r)
(H2 : ∀ x ∈ t, infEdist x s ≤ r) : hausdorffEdist s t ≤ r := by
simp only [hausdorffEdist_def, sup_le_iff, iSup_le_iff]
exact ⟨H1, H2⟩
/-- Bounding the Hausdorff edistance by exhibiting, for any point in each set,
another point in the other set at controlled distance -/
theorem hausdorffEdist_le_of_mem_edist {r : ℝ≥0∞} (H1 : ∀ x ∈ s, ∃ y ∈ t, edist x y ≤ r)
(H2 : ∀ x ∈ t, ∃ y ∈ s, edist x y ≤ r) : hausdorffEdist s t ≤ r := by
refine hausdorffEdist_le_of_infEdist (fun x xs ↦ ?_) (fun x xt ↦ ?_)
· rcases H1 x xs with ⟨y, yt, hy⟩
exact le_trans (infEdist_le_edist_of_mem yt) hy
· rcases H2 x xt with ⟨y, ys, hy⟩
exact le_trans (infEdist_le_edist_of_mem ys) hy
/-- The distance to a set is controlled by the Hausdorff distance. -/
theorem infEdist_le_hausdorffEdist_of_mem (h : x ∈ s) : infEdist x t ≤ hausdorffEdist s t := by
rw [hausdorffEdist_def]
refine le_trans ?_ le_sup_left
exact le_iSup₂ (α := ℝ≥0∞) x h
/-- If the Hausdorff distance is `< r`, then any point in one of the sets has
a corresponding point at distance `< r` in the other set. -/
theorem exists_edist_lt_of_hausdorffEdist_lt {r : ℝ≥0∞} (h : x ∈ s) (H : hausdorffEdist s t < r) :
∃ y ∈ t, edist x y < r :=
infEdist_lt_iff.mp <|
calc
infEdist x t ≤ hausdorffEdist s t := infEdist_le_hausdorffEdist_of_mem h
_ < r := H
/-- The distance from `x` to `s` or `t` is controlled in terms of the Hausdorff distance
between `s` and `t`. -/
theorem infEdist_le_infEdist_add_hausdorffEdist :
infEdist x t ≤ infEdist x s + hausdorffEdist s t :=
ENNReal.le_of_forall_pos_le_add fun ε εpos h => by
have ε0 : (ε / 2 : ℝ≥0∞) ≠ 0 := by simpa [pos_iff_ne_zero] using εpos
have : infEdist x s < infEdist x s + ε / 2 :=
ENNReal.lt_add_right (ENNReal.add_lt_top.1 h).1.ne ε0
obtain ⟨y : α, ys : y ∈ s, dxy : edist x y < infEdist x s + ↑ε / 2⟩ := infEdist_lt_iff.mp this
have : hausdorffEdist s t < hausdorffEdist s t + ε / 2 :=
ENNReal.lt_add_right (ENNReal.add_lt_top.1 h).2.ne ε0
obtain ⟨z : α, zt : z ∈ t, dyz : edist y z < hausdorffEdist s t + ↑ε / 2⟩ :=
exists_edist_lt_of_hausdorffEdist_lt ys this
calc
infEdist x t ≤ edist x z := infEdist_le_edist_of_mem zt
_ ≤ edist x y + edist y z := edist_triangle _ _ _
_ ≤ infEdist x s + ε / 2 + (hausdorffEdist s t + ε / 2) := add_le_add dxy.le dyz.le
_ = infEdist x s + hausdorffEdist s t + ε := by
simp [ENNReal.add_halves, add_comm, add_left_comm]
/-- The Hausdorff edistance is invariant under isometries. -/
theorem hausdorffEdist_image (h : Isometry Φ) :
hausdorffEdist (Φ '' s) (Φ '' t) = hausdorffEdist s t := by
simp only [hausdorffEdist_def, iSup_image, infEdist_image h]
/-- The Hausdorff distance is controlled by the diameter of the union. -/
theorem hausdorffEdist_le_ediam (hs : s.Nonempty) (ht : t.Nonempty) :
hausdorffEdist s t ≤ diam (s ∪ t) := by
rcases hs with ⟨x, xs⟩
rcases ht with ⟨y, yt⟩
refine hausdorffEdist_le_of_mem_edist ?_ ?_
· intro z hz
exact ⟨y, yt, edist_le_diam_of_mem (subset_union_left hz) (subset_union_right yt)⟩
· intro z hz
exact ⟨x, xs, edist_le_diam_of_mem (subset_union_right hz) (subset_union_left xs)⟩
/-- The Hausdorff distance satisfies the triangle inequality. -/
theorem hausdorffEdist_triangle : hausdorffEdist s u ≤ hausdorffEdist s t + hausdorffEdist t u := by
rw [hausdorffEdist_def]
simp only [sup_le_iff, iSup_le_iff]
constructor
· show ∀ x ∈ s, infEdist x u ≤ hausdorffEdist s t + hausdorffEdist t u
exact fun x xs =>
calc
infEdist x u ≤ infEdist x t + hausdorffEdist t u :=
infEdist_le_infEdist_add_hausdorffEdist
_ ≤ hausdorffEdist s t + hausdorffEdist t u :=
add_le_add_right (infEdist_le_hausdorffEdist_of_mem xs) _
· show ∀ x ∈ u, infEdist x s ≤ hausdorffEdist s t + hausdorffEdist t u
exact fun x xu =>
calc
infEdist x s ≤ infEdist x t + hausdorffEdist t s :=
infEdist_le_infEdist_add_hausdorffEdist
_ ≤ hausdorffEdist u t + hausdorffEdist t s :=
add_le_add_right (infEdist_le_hausdorffEdist_of_mem xu) _
_ = hausdorffEdist s t + hausdorffEdist t u := by simp [hausdorffEdist_comm, add_comm]
/-- Two sets are at zero Hausdorff edistance if and only if they have the same closure. -/
theorem hausdorffEdist_zero_iff_closure_eq_closure :
hausdorffEdist s t = 0 ↔ closure s = closure t := by
simp only [hausdorffEdist_def, ENNReal.sup_eq_zero, ENNReal.iSup_eq_zero, ← subset_def,
← mem_closure_iff_infEdist_zero, subset_antisymm_iff, isClosed_closure.closure_subset_iff]
/-- The Hausdorff edistance between a set and its closure vanishes. -/
@[simp]
theorem hausdorffEdist_self_closure : hausdorffEdist s (closure s) = 0 := by
rw [hausdorffEdist_zero_iff_closure_eq_closure, closure_closure]
/-- Replacing a set by its closure does not change the Hausdorff edistance. -/
@[simp]
theorem hausdorffEdist_closure₁ : hausdorffEdist (closure s) t = hausdorffEdist s t := by
refine le_antisymm ?_ ?_
· calc
_ ≤ hausdorffEdist (closure s) s + hausdorffEdist s t := hausdorffEdist_triangle
_ = hausdorffEdist s t := by simp [hausdorffEdist_comm]
· calc
_ ≤ hausdorffEdist s (closure s) + hausdorffEdist (closure s) t := hausdorffEdist_triangle
_ = hausdorffEdist (closure s) t := by simp
/-- Replacing a set by its closure does not change the Hausdorff edistance. -/
@[simp]
theorem hausdorffEdist_closure₂ : hausdorffEdist s (closure t) = hausdorffEdist s t := by
simp [@hausdorffEdist_comm _ _ s _]
/-- The Hausdorff edistance between sets or their closures is the same. -/
theorem hausdorffEdist_closure : hausdorffEdist (closure s) (closure t) = hausdorffEdist s t := by
simp
/-- Two closed sets are at zero Hausdorff edistance if and only if they coincide. -/
theorem hausdorffEdist_zero_iff_eq_of_closed (hs : IsClosed s) (ht : IsClosed t) :
hausdorffEdist s t = 0 ↔ s = t := by
rw [hausdorffEdist_zero_iff_closure_eq_closure, hs.closure_eq, ht.closure_eq]
/-- The Haudorff edistance to the empty set is infinite. -/
theorem hausdorffEdist_empty (ne : s.Nonempty) : hausdorffEdist s ∅ = ∞ := by
rcases ne with ⟨x, xs⟩
have : infEdist x ∅ ≤ hausdorffEdist s ∅ := infEdist_le_hausdorffEdist_of_mem xs
simpa using this
/-- If a set is at finite Hausdorff edistance of a nonempty set, it is nonempty. -/
theorem nonempty_of_hausdorffEdist_ne_top (hs : s.Nonempty) (fin : hausdorffEdist s t ≠ ⊤) :
t.Nonempty :=
t.eq_empty_or_nonempty.resolve_left fun ht ↦ fin (ht.symm ▸ hausdorffEdist_empty hs)
theorem empty_or_nonempty_of_hausdorffEdist_ne_top (fin : hausdorffEdist s t ≠ ⊤) :
(s = ∅ ∧ t = ∅) ∨ (s.Nonempty ∧ t.Nonempty) := by
rcases s.eq_empty_or_nonempty with hs | hs
· rcases t.eq_empty_or_nonempty with ht | ht
· exact Or.inl ⟨hs, ht⟩
· rw [hausdorffEdist_comm] at fin
exact Or.inr ⟨nonempty_of_hausdorffEdist_ne_top ht fin, ht⟩
· exact Or.inr ⟨hs, nonempty_of_hausdorffEdist_ne_top hs fin⟩
end HausdorffEdist
-- section
end EMetric
/-! Now, we turn to the same notions in metric spaces. To avoid the difficulties related to
`sInf` and `sSup` on `ℝ` (which is only conditionally complete), we use the notions in `ℝ≥0∞`
formulated in terms of the edistance, and coerce them to `ℝ`.
Then their properties follow readily from the corresponding properties in `ℝ≥0∞`,
modulo some tedious rewriting of inequalities from one to the other. -/
--namespace
namespace Metric
section
variable [PseudoMetricSpace α] [PseudoMetricSpace β] {s t u : Set α} {x y : α} {Φ : α → β}
open EMetric
/-! ### Distance of a point to a set as a function into `ℝ`. -/
/-- The minimal distance of a point to a set -/
def infDist (x : α) (s : Set α) : ℝ :=
ENNReal.toReal (infEdist x s)
theorem infDist_eq_iInf : infDist x s = ⨅ y : s, dist x y := by
rw [infDist, infEdist, iInf_subtype', ENNReal.toReal_iInf]
· simp only [dist_edist]
· exact fun _ ↦ edist_ne_top _ _
/-- The minimal distance is always nonnegative -/
theorem infDist_nonneg : 0 ≤ infDist x s := toReal_nonneg
/-- The minimal distance to the empty set is 0 (if you want to have the more reasonable
value `∞` instead, use `EMetric.infEdist`, which takes values in `ℝ≥0∞`) -/
@[simp]
theorem infDist_empty : infDist x ∅ = 0 := by simp [infDist]
lemma isGLB_infDist (hs : s.Nonempty) : IsGLB ((dist x ·) '' s) (infDist x s) := by
simpa [infDist_eq_iInf, sInf_image']
using isGLB_csInf (hs.image _) ⟨0, by simp [lowerBounds, dist_nonneg]⟩
/-- In a metric space, the minimal edistance to a nonempty set is finite. -/
theorem infEdist_ne_top (h : s.Nonempty) : infEdist x s ≠ ⊤ := by
rcases h with ⟨y, hy⟩
exact ne_top_of_le_ne_top (edist_ne_top _ _) (infEdist_le_edist_of_mem hy)
@[simp]
theorem infEdist_eq_top_iff : infEdist x s = ∞ ↔ s = ∅ := by
rcases s.eq_empty_or_nonempty with rfl | hs <;> simp [*, Nonempty.ne_empty, infEdist_ne_top]
/-- The minimal distance of a point to a set containing it vanishes. -/
theorem infDist_zero_of_mem (h : x ∈ s) : infDist x s = 0 := by
simp [infEdist_zero_of_mem h, infDist]
/-- The minimal distance to a singleton is the distance to the unique point in this singleton. -/
@[simp]
theorem infDist_singleton : infDist x {y} = dist x y := by simp [infDist, dist_edist]
/-- The minimal distance to a set is bounded by the distance to any point in this set. -/
theorem infDist_le_dist_of_mem (h : y ∈ s) : infDist x s ≤ dist x y := by
rw [dist_edist, infDist]
exact ENNReal.toReal_mono (edist_ne_top _ _) (infEdist_le_edist_of_mem h)
/-- The minimal distance is monotone with respect to inclusion. -/
theorem infDist_le_infDist_of_subset (h : s ⊆ t) (hs : s.Nonempty) : infDist x t ≤ infDist x s :=
ENNReal.toReal_mono (infEdist_ne_top hs) (infEdist_anti h)
lemma le_infDist {r : ℝ} (hs : s.Nonempty) : r ≤ infDist x s ↔ ∀ ⦃y⦄, y ∈ s → r ≤ dist x y := by
simp_rw [infDist, ← ENNReal.ofReal_le_iff_le_toReal (infEdist_ne_top hs), le_infEdist,
ENNReal.ofReal_le_iff_le_toReal (edist_ne_top _ _), ← dist_edist]
/-- The minimal distance to a set `s` is `< r` iff there exists a point in `s` at distance `< r`. -/
theorem infDist_lt_iff {r : ℝ} (hs : s.Nonempty) : infDist x s < r ↔ ∃ y ∈ s, dist x y < r := by
simp [← not_le, le_infDist hs]
/-- The minimal distance from `x` to `s` is bounded by the distance from `y` to `s`, modulo
the distance between `x` and `y`. -/
theorem infDist_le_infDist_add_dist : infDist x s ≤ infDist y s + dist x y := by
rw [infDist, infDist, dist_edist]
refine ENNReal.toReal_le_add' infEdist_le_infEdist_add_edist ?_ (flip absurd (edist_ne_top _ _))
simp only [infEdist_eq_top_iff, imp_self]
theorem not_mem_of_dist_lt_infDist (h : dist x y < infDist x s) : y ∉ s := fun hy =>
h.not_le <| infDist_le_dist_of_mem hy
theorem disjoint_ball_infDist : Disjoint (ball x (infDist x s)) s :=
disjoint_left.2 fun _y hy => not_mem_of_dist_lt_infDist <| mem_ball'.1 hy
theorem ball_infDist_subset_compl : ball x (infDist x s) ⊆ sᶜ :=
(disjoint_ball_infDist (s := s)).subset_compl_right
theorem ball_infDist_compl_subset : ball x (infDist x sᶜ) ⊆ s :=
ball_infDist_subset_compl.trans_eq (compl_compl s)
theorem disjoint_closedBall_of_lt_infDist {r : ℝ} (h : r < infDist x s) :
Disjoint (closedBall x r) s :=
disjoint_ball_infDist.mono_left <| closedBall_subset_ball h
theorem dist_le_infDist_add_diam (hs : IsBounded s) (hy : y ∈ s) :
dist x y ≤ infDist x s + diam s := by
rw [infDist, diam, dist_edist]
exact toReal_le_add (edist_le_infEdist_add_ediam hy) (infEdist_ne_top ⟨y, hy⟩) hs.ediam_ne_top
variable (s)
/-- The minimal distance to a set is Lipschitz in point with constant 1 -/
theorem lipschitz_infDist_pt : LipschitzWith 1 (infDist · s) :=
LipschitzWith.of_le_add fun _ _ => infDist_le_infDist_add_dist
/-- The minimal distance to a set is uniformly continuous in point -/
theorem uniformContinuous_infDist_pt : UniformContinuous (infDist · s) :=
(lipschitz_infDist_pt s).uniformContinuous
/-- The minimal distance to a set is continuous in point -/
@[continuity]
theorem continuous_infDist_pt : Continuous (infDist · s) :=
(uniformContinuous_infDist_pt s).continuous
variable {s}
/-- The minimal distances to a set and its closure coincide. -/
theorem infDist_closure : infDist x (closure s) = infDist x s := by
simp [infDist, infEdist_closure]
/-- If a point belongs to the closure of `s`, then its infimum distance to `s` equals zero.
The converse is true provided that `s` is nonempty, see `Metric.mem_closure_iff_infDist_zero`. -/
theorem infDist_zero_of_mem_closure (hx : x ∈ closure s) : infDist x s = 0 := by
rw [← infDist_closure]
exact infDist_zero_of_mem hx
/-- A point belongs to the closure of `s` iff its infimum distance to this set vanishes. -/
theorem mem_closure_iff_infDist_zero (h : s.Nonempty) : x ∈ closure s ↔ infDist x s = 0 := by
simp [mem_closure_iff_infEdist_zero, infDist, ENNReal.toReal_eq_zero_iff, infEdist_ne_top h]
theorem infDist_pos_iff_not_mem_closure (hs : s.Nonempty) :
x ∉ closure s ↔ 0 < infDist x s :=
(mem_closure_iff_infDist_zero hs).not.trans infDist_nonneg.gt_iff_ne.symm
/-- Given a closed set `s`, a point belongs to `s` iff its infimum distance to this set vanishes -/
theorem _root_.IsClosed.mem_iff_infDist_zero (h : IsClosed s) (hs : s.Nonempty) :
x ∈ s ↔ infDist x s = 0 := by rw [← mem_closure_iff_infDist_zero hs, h.closure_eq]
/-- Given a closed set `s`, a point belongs to `s` iff its infimum distance to this set vanishes. -/
theorem _root_.IsClosed.not_mem_iff_infDist_pos (h : IsClosed s) (hs : s.Nonempty) :
x ∉ s ↔ 0 < infDist x s := by
simp [h.mem_iff_infDist_zero hs, infDist_nonneg.gt_iff_ne]
theorem continuousAt_inv_infDist_pt (h : x ∉ closure s) :
ContinuousAt (fun x ↦ (infDist x s)⁻¹) x := by
rcases s.eq_empty_or_nonempty with (rfl | hs)
· simp only [infDist_empty, continuousAt_const]
· refine (continuous_infDist_pt s).continuousAt.inv₀ ?_
rwa [Ne, ← mem_closure_iff_infDist_zero hs]
/-- The infimum distance is invariant under isometries. -/
theorem infDist_image (hΦ : Isometry Φ) : infDist (Φ x) (Φ '' t) = infDist x t := by
simp [infDist, infEdist_image hΦ]
theorem infDist_inter_closedBall_of_mem (h : y ∈ s) :
infDist x (s ∩ closedBall x (dist y x)) = infDist x s := by
replace h : y ∈ s ∩ closedBall x (dist y x) := ⟨h, mem_closedBall.2 le_rfl⟩
refine le_antisymm ?_ (infDist_le_infDist_of_subset inter_subset_left ⟨y, h⟩)
refine not_lt.1 fun hlt => ?_
rcases (infDist_lt_iff ⟨y, h.1⟩).mp hlt with ⟨z, hzs, hz⟩
rcases le_or_lt (dist z x) (dist y x) with hle | hlt
· exact hz.not_le (infDist_le_dist_of_mem ⟨hzs, hle⟩)
· rw [dist_comm z, dist_comm y] at hlt
exact (hlt.trans hz).not_le (infDist_le_dist_of_mem h)
theorem _root_.IsCompact.exists_infDist_eq_dist (h : IsCompact s) (hne : s.Nonempty) (x : α) :
∃ y ∈ s, infDist x s = dist x y :=
let ⟨y, hys, hy⟩ := h.exists_infEdist_eq_edist hne x
⟨y, hys, by rw [infDist, dist_edist, hy]⟩
theorem _root_.IsClosed.exists_infDist_eq_dist [ProperSpace α] (h : IsClosed s) (hne : s.Nonempty)
(x : α) : ∃ y ∈ s, infDist x s = dist x y := by
rcases hne with ⟨z, hz⟩
rw [← infDist_inter_closedBall_of_mem hz]
set t := s ∩ closedBall x (dist z x)
have htc : IsCompact t := (isCompact_closedBall x (dist z x)).inter_left h
have htne : t.Nonempty := ⟨z, hz, mem_closedBall.2 le_rfl⟩
obtain ⟨y, ⟨hys, -⟩, hyd⟩ : ∃ y ∈ t, infDist x t = dist x y := htc.exists_infDist_eq_dist htne x
exact ⟨y, hys, hyd⟩
theorem exists_mem_closure_infDist_eq_dist [ProperSpace α] (hne : s.Nonempty) (x : α) :
∃ y ∈ closure s, infDist x s = dist x y := by
simpa only [infDist_closure] using isClosed_closure.exists_infDist_eq_dist hne.closure x
/-! ### Distance of a point to a set as a function into `ℝ≥0`. -/
/-- The minimal distance of a point to a set as a `ℝ≥0` -/
def infNndist (x : α) (s : Set α) : ℝ≥0 :=
ENNReal.toNNReal (infEdist x s)
@[simp]
theorem coe_infNndist : (infNndist x s : ℝ) = infDist x s :=
rfl
/-- The minimal distance to a set (as `ℝ≥0`) is Lipschitz in point with constant 1 -/
theorem lipschitz_infNndist_pt (s : Set α) : LipschitzWith 1 fun x => infNndist x s :=
LipschitzWith.of_le_add fun _ _ => infDist_le_infDist_add_dist
/-- The minimal distance to a set (as `ℝ≥0`) is uniformly continuous in point -/
| theorem uniformContinuous_infNndist_pt (s : Set α) : UniformContinuous fun x => infNndist x s :=
(lipschitz_infNndist_pt s).uniformContinuous
| Mathlib/Topology/MetricSpace/HausdorffDistance.lean | 614 | 615 |
/-
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.Finsupp.Fin
import Mathlib.Algebra.MvPolynomial.Degrees
import Mathlib.Algebra.MvPolynomial.Rename
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.Logic.Equiv.Fin.Basic
/-!
# 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 _ _ _
theorem pUnitAlgEquiv_monomial {d : PUnit →₀ ℕ} {r : R} :
MvPolynomial.pUnitAlgEquiv R (MvPolynomial.monomial d r)
= Polynomial.monomial (d ()) r := by
simp [Polynomial.C_mul_X_pow_eq_monomial]
theorem pUnitAlgEquiv_symm_monomial {d : PUnit →₀ ℕ} {r : R} :
(MvPolynomial.pUnitAlgEquiv R).symm (Polynomial.monomial (d ()) r)
= MvPolynomial.monomial d r := by
simp [MvPolynomial.monomial_eq]
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 }
@[simp]
theorem mapEquiv_refl : mapEquiv σ (RingEquiv.refl R) = RingEquiv.refl _ :=
RingEquiv.ext map_id
@[simp]
theorem mapEquiv_symm [CommSemiring S₁] [CommSemiring S₂] (e : S₁ ≃+* S₂) :
(mapEquiv σ e).symm = mapEquiv σ e.symm :=
rfl
@[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]
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) }
@[simp]
theorem mapAlgEquiv_refl : mapAlgEquiv σ (AlgEquiv.refl : A₁ ≃ₐ[R] A₁) = AlgEquiv.refl :=
AlgEquiv.ext map_id
@[simp]
theorem mapAlgEquiv_symm (e : A₁ ≃ₐ[R] A₂) : (mapAlgEquiv σ e).symm = mapAlgEquiv σ e.symm :=
rfl
@[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
end Map
section Eval
variable {R S : Type*} [CommSemiring R] [CommSemiring S]
theorem eval₂_pUnitAlgEquiv_symm {f : Polynomial R} {φ : R →+* S} {a : Unit → S} :
((MvPolynomial.pUnitAlgEquiv R).symm f : MvPolynomial Unit R).eval₂ φ a =
f.eval₂ φ (a ()) := by
simp only [MvPolynomial.pUnitAlgEquiv_symm_apply]
induction f using Polynomial.induction_on' with
| add f g hf hg => simp [hf, hg]
| monomial n r => simp
theorem eval₂_const_pUnitAlgEquiv_symm {f : Polynomial R} {φ : R →+* S} {a : S} :
((MvPolynomial.pUnitAlgEquiv R).symm f : MvPolynomial Unit R).eval₂ φ (fun _ ↦ a) =
f.eval₂ φ a := by
rw [eval₂_pUnitAlgEquiv_symm]
theorem eval₂_pUnitAlgEquiv {f : MvPolynomial PUnit R} {φ : R →+* S} {a : PUnit → S} :
((MvPolynomial.pUnitAlgEquiv R) f : Polynomial R).eval₂ φ (a default) = f.eval₂ φ a := by
simp only [MvPolynomial.pUnitAlgEquiv_apply]
induction f using MvPolynomial.induction_on' with
| monomial d r => simp
| add f g hf hg => simp [hf, hg]
theorem eval₂_const_pUnitAlgEquiv {f : MvPolynomial PUnit R} {φ : R →+* S} {a : S} :
((MvPolynomial.pUnitAlgEquiv R) f : Polynomial R).eval₂ φ a = f.eval₂ φ (fun _ ↦ a) := by
rw [← eval₂_pUnitAlgEquiv]
end Eval
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 (S₁ ⊕ S₂) R →+* MvPolynomial S₁ (MvPolynomial S₂ R) :=
eval₂Hom (C.comp C) fun bc => Sum.recOn bc X (C ∘ X)
@[simp]
theorem sumToIter_C (a : R) : sumToIter R S₁ S₂ (C a) = C (C a) :=
eval₂_C _ _ a
@[simp]
theorem sumToIter_Xl (b : S₁) : sumToIter R S₁ S₂ (X (Sum.inl b)) = X b :=
eval₂_X _ _ (Sum.inl b)
@[simp]
theorem sumToIter_Xr (c : S₂) : sumToIter R S₁ S₂ (X (Sum.inr c)) = C (X c) :=
eval₂_X _ _ (Sum.inr c)
/-- 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 (S₁ ⊕ S₂) R :=
eval₂Hom (eval₂Hom C (X ∘ Sum.inr)) (X ∘ Sum.inl)
@[simp]
theorem iterToSum_C_C (a : R) : iterToSum R S₁ S₂ (C (C a)) = C a :=
Eq.trans (eval₂_C _ _ (C a)) (eval₂_C _ _ _)
@[simp]
theorem iterToSum_X (b : S₁) : iterToSum R S₁ S₂ (X b) = X (Sum.inl b) :=
eval₂_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 _ _ _)
section isEmptyRingEquiv
variable [IsEmpty σ]
variable (σ) in
/-- The algebra isomorphism between multivariable polynomials in no variables
and the ground ring. -/
@[simps! apply]
def isEmptyAlgEquiv : MvPolynomial σ R ≃ₐ[R] R :=
.ofAlgHom (aeval isEmptyElim) (Algebra.ofId _ _) (by ext) (by ext i m; exact isEmptyElim i)
variable {R S₁} in
@[simp]
lemma aeval_injective_iff_of_isEmpty [CommSemiring S₁] [Algebra R S₁] {f : σ → S₁} :
Function.Injective (aeval f : MvPolynomial σ R →ₐ[R] S₁) ↔
Function.Injective (algebraMap R S₁) := by
have : aeval f = (Algebra.ofId R S₁).comp (@isEmptyAlgEquiv R σ _ _).toAlgHom := by
ext i
exact IsEmpty.elim' ‹IsEmpty σ› i
rw [this, ← Injective.of_comp_iff' _ (@isEmptyAlgEquiv R σ _ _).bijective]
rfl
variable (σ) in
/-- The ring isomorphism between multivariable polynomials in no variables
and the ground ring. -/
@[simps! apply]
def isEmptyRingEquiv : MvPolynomial σ R ≃+* R := (isEmptyAlgEquiv R σ).toRingEquiv
lemma isEmptyRingEquiv_symm_toRingHom : (isEmptyRingEquiv R σ).symm.toRingHom = C := rfl
@[simp] lemma isEmptyRingEquiv_symm_apply (r : R) : (isEmptyRingEquiv R σ).symm r = C r := rfl
lemma isEmptyRingEquiv_eq_coeff_zero {σ R : Type*} [CommSemiring R] [IsEmpty σ] {x} :
isEmptyRingEquiv R σ x = x.coeff 0 := by
obtain ⟨x, rfl⟩ := (isEmptyRingEquiv R σ).symm.surjective x; simp
end isEmptyRingEquiv
/-- 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
/-- 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 (S₁ ⊕ S₂) R ≃+* MvPolynomial S₁ (MvPolynomial S₂ R) := by
apply mvPolynomialEquivMvPolynomial R (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]
/-- 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 (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 (S₁ ⊕ S₂) R) r = C r := rfl
simp only [sumRingEquiv, mvPolynomialEquivMvPolynomial, Equiv.toFun_as_coe,
Equiv.coe_fn_mk, B, sumToIter_C, A] }
lemma sumAlgEquiv_comp_rename_inr :
(sumAlgEquiv R S₁ S₂).toAlgHom.comp (rename Sum.inr) = IsScalarTower.toAlgHom R
(MvPolynomial S₂ R) (MvPolynomial S₁ (MvPolynomial S₂ R)) := by
ext i
simp
lemma sumAlgEquiv_comp_rename_inl :
(sumAlgEquiv R S₁ S₂).toAlgHom.comp (rename Sum.inl) =
MvPolynomial.mapAlgHom (Algebra.ofId _ _) := by
ext i
simp
section commAlgEquiv
variable {R S₁ S₂ : Type*} [CommSemiring R]
variable (R S₁ S₂) in
/-- The algebra isomorphism between multivariable polynomials in variables `S₁` of multivariable
polynomials in variables `S₂` and multivariable polynomials in variables `S₂` of multivariable
polynomials in variables `S₁`. -/
noncomputable
def commAlgEquiv : MvPolynomial S₁ (MvPolynomial S₂ R) ≃ₐ[R] MvPolynomial S₂ (MvPolynomial S₁ R) :=
(sumAlgEquiv R S₁ S₂).symm.trans <| (renameEquiv _ (.sumComm S₁ S₂)).trans (sumAlgEquiv R S₂ S₁)
@[simp] lemma commAlgEquiv_C (p) : commAlgEquiv R S₁ S₂ (.C p) = .map C p := by
suffices (commAlgEquiv R S₁ S₂).toAlgHom.comp
(IsScalarTower.toAlgHom R (MvPolynomial S₂ R) _) = mapAlgHom (Algebra.ofId _ _) by
exact DFunLike.congr_fun this p
ext x : 1
simp [commAlgEquiv]
lemma commAlgEquiv_C_X (i) : commAlgEquiv R S₁ S₂ (.C (.X i)) = .X i := by simp
@[simp] lemma commAlgEquiv_X (i) : commAlgEquiv R S₁ S₂ (.X i) = .C (.X i) := by simp [commAlgEquiv]
end commAlgEquiv
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! -isSimp]
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)
lemma optionEquivLeft_X_some (x : S₁) : optionEquivLeft R S₁ (X (some x)) = Polynomial.C (X x) := by
simp [optionEquivLeft_apply, aeval_X]
lemma optionEquivLeft_X_none : optionEquivLeft R S₁ (X none) = Polynomial.X := by
simp [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]
theorem optionEquivLeft_monomial (m : Option S₁ →₀ ℕ) (r : R) :
optionEquivLeft R S₁ (monomial m r) = .monomial (m none) (monomial m.some r) := by
rw [optionEquivLeft_apply, aeval_monomial, prod_option_index]
· rw [MvPolynomial.monomial_eq, ← Polynomial.C_mul_X_pow_eq_monomial]
simp only [Polynomial.algebraMap_apply, algebraMap_eq, Option.elim_none, Option.elim_some,
map_mul, mul_assoc]
apply congr_arg₂ _ rfl
simp only [mul_comm, map_finsuppProd, map_pow]
· intros; simp
· intros; rw [pow_add]
/-- The coefficient of `n.some` in the `n none`-th coefficient of `optionEquivLeft R S₁ f`
equals the coefficient of `n` in `f` -/
theorem optionEquivLeft_coeff_coeff (n : Option S₁ →₀ ℕ) (f : MvPolynomial (Option S₁) R) :
coeff n.some (Polynomial.coeff (optionEquivLeft R S₁ f) (n none)) =
coeff n f := by
induction' f using MvPolynomial.induction_on' with j r p q hp hq generalizing n
swap
· simp only [map_add, Polynomial.coeff_add, coeff_add, hp, hq]
· rw [optionEquivLeft_monomial]
classical
simp only [Polynomial.coeff_monomial, MvPolynomial.coeff_monomial, apply_ite]
simp only [coeff_zero]
by_cases hj : j = n
· simp [hj]
· rw [if_neg hj]
simp only [ite_eq_right_iff]
intro hj_none hj_some
apply False.elim (hj _)
simp only [Finsupp.ext_iff, Option.forall, hj_none, true_and]
simpa only [Finsupp.ext_iff] using hj_some
theorem optionEquivLeft_elim_eval (s : S₁ → R) (y : R) (f : MvPolynomial (Option S₁) R) :
eval (fun x ↦ Option.elim x y s) f =
Polynomial.eval y (Polynomial.map (eval s) (optionEquivLeft R S₁ f)) := by
-- turn this into a def `Polynomial.mapAlgHom`
let φ : (MvPolynomial S₁ 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 (fun x ↦ Option.elim x y s) f =
(Polynomial.aeval y).comp (φ.comp (optionEquivLeft _ _).toAlgHom) f
congr 2
apply MvPolynomial.algHom_ext
| rw [Option.forall]
simp only [aeval_X, Option.elim_none, AlgEquiv.toAlgHom_eq_coe, AlgHom.coe_comp,
Polynomial.coe_aeval_eq_eval, AlgHom.coe_mk, coe_mapRingHom, AlgHom.coe_coe, comp_apply,
optionEquivLeft_apply, Polynomial.map_X, Polynomial.eval_X, Option.elim_some, Polynomial.map_C,
eval_X, Polynomial.eval_C, implies_true, and_self, φ]
@[simp]
lemma natDegree_optionEquivLeft (p : MvPolynomial (Option S₁) R) :
(optionEquivLeft R S₁ p).natDegree = p.degreeOf .none := by
apply le_antisymm
· rw [Polynomial.natDegree_le_iff_coeff_eq_zero]
intro N hN
ext σ
trans p.coeff (σ.embDomain .some + .single .none N)
· simpa using optionEquivLeft_coeff_coeff R S₁ (σ.embDomain .some + .single .none N) p
simp only [coeff_zero, ← not_mem_support_iff]
intro H
simpa using (degreeOf_lt_iff ((zero_le _).trans_lt hN)).mp hN _ H
· rw [degreeOf_le_iff]
intro σ hσ
refine Polynomial.le_natDegree_of_ne_zero fun H ↦ ?_
have := optionEquivLeft_coeff_coeff R S₁ σ p
| Mathlib/Algebra/MvPolynomial/Equiv.lean | 408 | 429 |
/-
Copyright (c) 2024 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import Mathlib.Probability.Kernel.Composition.MapComap
import Mathlib.Probability.Martingale.Convergence
import Mathlib.Probability.Process.PartitionFiltration
/-!
# Kernel density
Let `κ : Kernel α (γ × β)` and `ν : Kernel α γ` be two finite kernels with `Kernel.fst κ ≤ ν`,
where `γ` has a countably generated σ-algebra (true in particular for standard Borel spaces).
We build a function `density κ ν : α → γ → Set β → ℝ` jointly measurable in the first two arguments
such that for all `a : α` and all measurable sets `s : Set β` and `A : Set γ`,
`∫ x in A, density κ ν a x s ∂(ν a) = (κ a).real (A ×ˢ s)`.
There are two main applications of this construction.
* Disintegration of kernels: for `κ : Kernel α (γ × β)`, we want to build a kernel
`η : Kernel (α × γ) β` such that `κ = fst κ ⊗ₖ η`. For `β = ℝ`, we can use the density of `κ`
with respect to `fst κ` for intervals to build a kernel cumulative distribution function for `η`.
The construction can then be extended to `β` standard Borel.
* Radon-Nikodym theorem for kernels: for `κ ν : Kernel α γ`, we can use the density to build a
Radon-Nikodym derivative of `κ` with respect to `ν`. We don't need `β` here but we can apply the
density construction to `β = Unit`. The derivative construction will use `density` but will not
be exactly equal to it because we will want to remove the `fst κ ≤ ν` assumption.
## Main definitions
* `ProbabilityTheory.Kernel.density`: for `κ : Kernel α (γ × β)` and `ν : Kernel α γ` two finite
kernels, `Kernel.density κ ν` is a function `α → γ → Set β → ℝ`.
## Main statements
* `ProbabilityTheory.Kernel.setIntegral_density`: for all measurable sets `A : Set γ` and
`s : Set β`, `∫ x in A, Kernel.density κ ν a x s ∂(ν a) = (κ a).real (A ×ˢ s)`.
* `ProbabilityTheory.Kernel.measurable_density`: the function
`p : α × γ ↦ Kernel.density κ ν p.1 p.2 s` is measurable.
## Construction of the density
If we were interested only in a fixed `a : α`, then we could use the Radon-Nikodym derivative to
build the density function `density κ ν`, as follows.
```
def density' (κ : Kernel α (γ × β)) (ν : kernel a γ) (a : α) (x : γ) (s : Set β) : ℝ :=
(((κ a).restrict (univ ×ˢ s)).fst.rnDeriv (ν a) x).toReal
```
However, we can't turn those functions for each `a` into a measurable function of the pair `(a, x)`.
In order to obtain measurability through countability, we use the fact that the measurable space `γ`
is countably generated. For each `n : ℕ`, we define (in the file
`Mathlib.Probability.Process.PartitionFiltration`) a finite partition of `γ`, such that those
partitions are finer as `n` grows, and the σ-algebra generated by the union of all partitions is the
σ-algebra of `γ`. For `x : γ`, `countablePartitionSet n x` denotes the set in the partition such
that `x ∈ countablePartitionSet n x`.
For a given `n`, the function `densityProcess κ ν n : α → γ → Set β → ℝ` defined by
`fun a x s ↦ (κ a (countablePartitionSet n x ×ˢ s) / ν a (countablePartitionSet n x)).toReal` has
the desired property that `∫ x in A, densityProcess κ ν n a x s ∂(ν a) = (κ a (A ×ˢ s)).toReal` for
all `A` in the σ-algebra generated by the partition at scale `n` and is measurable in `(a, x)`.
`countableFiltration γ` is the filtration of those σ-algebras for all `n : ℕ`.
The functions `densityProcess κ ν n` described here are a bounded `ν`-martingale for the filtration
`countableFiltration γ`. By Doob's martingale L1 convergence theorem, that martingale converges to
a limit, which has a product-measurable version and satisfies the integral equality for all `A` in
`⨆ n, countableFiltration γ n`. Finally, the partitions were chosen such that that supremum is equal
to the σ-algebra on `γ`, hence the equality holds for all measurable sets.
We have obtained the desired density function.
## References
The construction of the density process in this file follows the proof of Theorem 9.27 in
[O. Kallenberg, Foundations of modern probability][kallenberg2021], adapted to use a countably
generated hypothesis instead of specializing to `ℝ`.
-/
open MeasureTheory Set Filter MeasurableSpace
open scoped NNReal ENNReal MeasureTheory Topology ProbabilityTheory
namespace ProbabilityTheory.Kernel
variable {α β γ : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
[CountablyGenerated γ] {κ : Kernel α (γ × β)} {ν : Kernel α γ}
section DensityProcess
/-- An `ℕ`-indexed martingale that is a density for `κ` with respect to `ν` on the sets in
`countablePartition γ n`. Used to define its limit `ProbabilityTheory.Kernel.density`, which is
a density for those kernels for all measurable sets. -/
noncomputable
def densityProcess (κ : Kernel α (γ × β)) (ν : Kernel α γ) (n : ℕ) (a : α) (x : γ) (s : Set β) :
ℝ :=
(κ a (countablePartitionSet n x ×ˢ s) / ν a (countablePartitionSet n x)).toReal
lemma densityProcess_def (κ : Kernel α (γ × β)) (ν : Kernel α γ) (n : ℕ) (a : α) (s : Set β) :
(fun t ↦ densityProcess κ ν n a t s)
= fun t ↦ (κ a (countablePartitionSet n t ×ˢ s) / ν a (countablePartitionSet n t)).toReal :=
rfl
lemma measurable_densityProcess_countableFiltration_aux (κ : Kernel α (γ × β)) (ν : Kernel α γ)
(n : ℕ) {s : Set β} (hs : MeasurableSet s) :
Measurable[mα.prod (countableFiltration γ n)] (fun (p : α × γ) ↦
κ p.1 (countablePartitionSet n p.2 ×ˢ s) / ν p.1 (countablePartitionSet n p.2)) := by
change Measurable[mα.prod (countableFiltration γ n)]
((fun (p : α × countablePartition γ n) ↦ κ p.1 (↑p.2 ×ˢ s) / ν p.1 p.2)
∘ (fun (p : α × γ) ↦ (p.1, ⟨countablePartitionSet n p.2, countablePartitionSet_mem n p.2⟩)))
have h1 : @Measurable _ _ (mα.prod ⊤) _
(fun p : α × countablePartition γ n ↦ κ p.1 (↑p.2 ×ˢ s) / ν p.1 p.2) := by
refine Measurable.div ?_ ?_
· refine measurable_from_prod_countable (fun t ↦ ?_)
exact Kernel.measurable_coe _ ((measurableSet_countablePartition _ t.prop).prod hs)
· refine measurable_from_prod_countable ?_
rintro ⟨t, ht⟩
exact Kernel.measurable_coe _ (measurableSet_countablePartition _ ht)
refine h1.comp (measurable_fst.prodMk ?_)
change @Measurable (α × γ) (countablePartition γ n) (mα.prod (countableFiltration γ n)) ⊤
((fun c ↦ ⟨countablePartitionSet n c, countablePartitionSet_mem n c⟩) ∘ (fun p : α × γ ↦ p.2))
exact (measurable_countablePartitionSet_subtype n ⊤).comp measurable_snd
lemma measurable_densityProcess_aux (κ : Kernel α (γ × β)) (ν : Kernel α γ) (n : ℕ)
{s : Set β} (hs : MeasurableSet s) :
Measurable (fun (p : α × γ) ↦
κ p.1 (countablePartitionSet n p.2 ×ˢ s) / ν p.1 (countablePartitionSet n p.2)) := by
refine Measurable.mono (measurable_densityProcess_countableFiltration_aux κ ν n hs) ?_ le_rfl
exact sup_le_sup le_rfl (comap_mono ((countableFiltration γ).le _))
lemma measurable_densityProcess (κ : Kernel α (γ × β)) (ν : Kernel α γ) (n : ℕ)
{s : Set β} (hs : MeasurableSet s) :
Measurable (fun (p : α × γ) ↦ densityProcess κ ν n p.1 p.2 s) :=
(measurable_densityProcess_aux κ ν n hs).ennreal_toReal
-- The following two lemmas also work without the `( :)`, but they are slow.
lemma measurable_densityProcess_left (κ : Kernel α (γ × β)) (ν : Kernel α γ) (n : ℕ)
(x : γ) {s : Set β} (hs : MeasurableSet s) :
Measurable (fun a ↦ densityProcess κ ν n a x s) :=
((measurable_densityProcess κ ν n hs).comp (measurable_id.prodMk measurable_const):)
lemma measurable_densityProcess_right (κ : Kernel α (γ × β)) (ν : Kernel α γ) (n : ℕ)
{s : Set β} (a : α) (hs : MeasurableSet s) :
Measurable (fun x ↦ densityProcess κ ν n a x s) :=
((measurable_densityProcess κ ν n hs).comp (measurable_const.prodMk measurable_id):)
lemma measurable_countableFiltration_densityProcess (κ : Kernel α (γ × β)) (ν : Kernel α γ) (n : ℕ)
(a : α) {s : Set β} (hs : MeasurableSet s) :
Measurable[countableFiltration γ n] (fun x ↦ densityProcess κ ν n a x s) := by
refine @Measurable.ennreal_toReal _ (countableFiltration γ n) _ ?_
exact (measurable_densityProcess_countableFiltration_aux κ ν n hs).comp measurable_prodMk_left
lemma stronglyMeasurable_countableFiltration_densityProcess (κ : Kernel α (γ × β)) (ν : Kernel α γ)
(n : ℕ) (a : α) {s : Set β} (hs : MeasurableSet s) :
StronglyMeasurable[countableFiltration γ n] (fun x ↦ densityProcess κ ν n a x s) :=
(measurable_countableFiltration_densityProcess κ ν n a hs).stronglyMeasurable
lemma adapted_densityProcess (κ : Kernel α (γ × β)) (ν : Kernel α γ) (a : α)
{s : Set β} (hs : MeasurableSet s) :
Adapted (countableFiltration γ) (fun n x ↦ densityProcess κ ν n a x s) :=
fun n ↦ stronglyMeasurable_countableFiltration_densityProcess κ ν n a hs
lemma densityProcess_nonneg (κ : Kernel α (γ × β)) (ν : Kernel α γ) (n : ℕ)
(a : α) (x : γ) (s : Set β) :
0 ≤ densityProcess κ ν n a x s :=
ENNReal.toReal_nonneg
lemma meas_countablePartitionSet_le_of_fst_le (hκν : fst κ ≤ ν) (n : ℕ) (a : α) (x : γ)
(s : Set β) :
κ a (countablePartitionSet n x ×ˢ s) ≤ ν a (countablePartitionSet n x) := by
calc κ a (countablePartitionSet n x ×ˢ s)
≤ fst κ a (countablePartitionSet n x) := by
rw [fst_apply' _ _ (measurableSet_countablePartitionSet _ _)]
refine measure_mono (fun x ↦ ?_)
simp only [mem_prod, mem_setOf_eq, and_imp]
exact fun h _ ↦ h
_ ≤ ν a (countablePartitionSet n x) := hκν a _
|
lemma densityProcess_le_one (hκν : fst κ ≤ ν) (n : ℕ) (a : α) (x : γ) (s : Set β) :
densityProcess κ ν n a x s ≤ 1 := by
refine ENNReal.toReal_le_of_le_ofReal zero_le_one (ENNReal.div_le_of_le_mul ?_)
rw [ENNReal.ofReal_one, one_mul]
| Mathlib/Probability/Kernel/Disintegration/Density.lean | 176 | 180 |
/-
Copyright (c) 2020 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Computability.Halting
import Mathlib.Computability.TuringMachine
import Mathlib.Data.Num.Lemmas
import Mathlib.Tactic.DeriveFintype
import Mathlib.Computability.TMConfig
/-!
# Modelling partial recursive functions using Turing machines
The files `TMConfig` and `TMToPartrec` define a simplified basis for partial recursive functions,
and a `Turing.TM2` model
Turing machine for evaluating these functions. This amounts to a constructive proof that every
`Partrec` function can be evaluated by a Turing machine.
## Main definitions
* `PartrecToTM2.tr`: A TM2 turing machine which can evaluate `code` programs
-/
open List (Vector)
open Function (update)
open Relation
namespace Turing
/-!
## Simulating sequentialized partial recursive functions in TM2
At this point we have a sequential model of partial recursive functions: the `Cfg` type and
`step : Cfg → Option Cfg` function from `TMConfig.lean`. The key feature of this model is that
it does a finite amount of computation (in fact, an amount which is statically bounded by the size
of the program) between each step, and no individual step can diverge (unlike the compositional
semantics, where every sub-part of the computation is potentially divergent). So we can utilize the
same techniques as in the other TM simulations in `Computability.TuringMachine` to prove that
each step corresponds to a finite number of steps in a lower level model. (We don't prove it here,
but in anticipation of the complexity class P, the simulation is actually polynomial-time as well.)
The target model is `Turing.TM2`, which has a fixed finite set of stacks, a bit of local storage,
with programs selected from a potentially infinite (but finitely accessible) set of program
positions, or labels `Λ`, each of which executes a finite sequence of basic stack commands.
For this program we will need four stacks, each on an alphabet `Γ'` like so:
inductive Γ' | consₗ | cons | bit0 | bit1
We represent a number as a bit sequence, lists of numbers by putting `cons` after each element, and
lists of lists of natural numbers by putting `consₗ` after each list. For example:
0 ~> []
1 ~> [bit1]
6 ~> [bit0, bit1, bit1]
[1, 2] ~> [bit1, cons, bit0, bit1, cons]
[[], [1, 2]] ~> [consₗ, bit1, cons, bit0, bit1, cons, consₗ]
The four stacks are `main`, `rev`, `aux`, `stack`. In normal mode, `main` contains the input to the
current program (a `List ℕ`) and `stack` contains data (a `List (List ℕ)`) associated to the
current continuation, and in `ret` mode `main` contains the value that is being passed to the
continuation and `stack` contains the data for the continuation. The `rev` and `aux` stacks are
usually empty; `rev` is used to store reversed data when e.g. moving a value from one stack to
another, while `aux` is used as a temporary for a `main`/`stack` swap that happens during `cons₁`
evaluation.
The only local store we need is `Option Γ'`, which stores the result of the last pop
operation. (Most of our working data are natural numbers, which are too large to fit in the local
store.)
The continuations from the previous section are data-carrying, containing all the values that have
been computed and are awaiting other arguments. In order to have only a finite number of
continuations appear in the program so that they can be used in machine states, we separate the
data part (anything with type `List ℕ`) from the `Cont` type, producing a `Cont'` type that lacks
this information. The data is kept on the `stack` stack.
Because we want to have subroutines for e.g. moving an entire stack to another place, we use an
infinite inductive type `Λ'` so that we can execute a program and then return to do something else
without having to define too many different kinds of intermediate states. (We must nevertheless
prove that only finitely many labels are accessible.) The labels are:
* `move p k₁ k₂ q`: move elements from stack `k₁` to `k₂` while `p` holds of the value being moved.
The last element, that fails `p`, is placed in neither stack but left in the local store.
At the end of the operation, `k₂` will have the elements of `k₁` in reverse order. Then do `q`.
* `clear p k q`: delete elements from stack `k` until `p` is true. Like `move`, the last element is
left in the local storage. Then do `q`.
* `copy q`: Move all elements from `rev` to both `main` and `stack` (in reverse order),
then do `q`. That is, it takes `(a, b, c, d)` to `(b.reverse ++ a, [], c, b.reverse ++ d)`.
* `push k f q`: push `f s`, where `s` is the local store, to stack `k`, then do `q`. This is a
duplicate of the `push` instruction that is part of the TM2 model, but by having a subroutine
just for this purpose we can build up programs to execute inside a `goto` statement, where we
have the flexibility to be general recursive.
* `read (f : Option Γ' → Λ')`: go to state `f s` where `s` is the local store. Again this is only
here for convenience.
* `succ q`: perform a successor operation. Assuming `[n]` is encoded on `main` before,
`[n+1]` will be on main after. This implements successor for binary natural numbers.
* `pred q₁ q₂`: perform a predecessor operation or `case` statement. If `[]` is encoded on
`main` before, then we transition to `q₁` with `[]` on main; if `(0 :: v)` is on `main` before
then `v` will be on `main` after and we transition to `q₁`; and if `(n+1 :: v)` is on `main`
before then `n :: v` will be on `main` after and we transition to `q₂`.
* `ret k`: call continuation `k`. Each continuation has its own interpretation of the data in
`stack` and sets up the data for the next continuation.
* `ret (cons₁ fs k)`: `v :: KData` on `stack` and `ns` on `main`, and the next step expects
`v` on `main` and `ns :: KData` on `stack`. So we have to do a little dance here with six
reverse-moves using the `aux` stack to perform a three-point swap, each of which involves two
reversals.
* `ret (cons₂ k)`: `ns :: KData` is on `stack` and `v` is on `main`, and we have to put
`ns.headI :: v` on `main` and `KData` on `stack`. This is done using the `head` subroutine.
* `ret (fix f k)`: This stores no data, so we just check if `main` starts with `0` and
if so, remove it and call `k`, otherwise `clear` the first value and call `f`.
* `ret halt`: the stack is empty, and `main` has the output. Do nothing and halt.
In addition to these basic states, we define some additional subroutines that are used in the
above:
* `push'`, `peek'`, `pop'` are special versions of the builtins that use the local store to supply
inputs and outputs.
* `unrev`: special case `move false rev main` to move everything from `rev` back to `main`. Used as
a cleanup operation in several functions.
* `moveExcl p k₁ k₂ q`: same as `move` but pushes the last value read back onto the source stack.
* `move₂ p k₁ k₂ q`: double `move`, so that the result comes out in the right order at the target
stack. Implemented as `moveExcl p k rev; move false rev k₂`. Assumes that neither `k₁` nor `k₂`
is `rev` and `rev` is initially empty.
* `head k q`: get the first natural number from stack `k` and reverse-move it to `rev`, then clear
the rest of the list at `k` and then `unrev` to reverse-move the head value to `main`. This is
used with `k = main` to implement regular `head`, i.e. if `v` is on `main` before then `[v.headI]`
will be on `main` after; and also with `k = stack` for the `cons` operation, which has `v` on
`main` and `ns :: KData` on `stack`, and results in `KData` on `stack` and `ns.headI :: v` on
`main`.
* `trNormal` is the main entry point, defining states that perform a given `code` computation.
It mostly just dispatches to functions written above.
The main theorem of this section is `tr_eval`, which asserts that for each that for each code `c`,
the state `init c v` steps to `halt v'` in finitely many steps if and only if
`Code.eval c v = some v'`.
-/
namespace PartrecToTM2
section
open ToPartrec
/-- The alphabet for the stacks in the program. `bit0` and `bit1` are used to represent `ℕ` values
as lists of binary digits, `cons` is used to separate `List ℕ` values, and `consₗ` is used to
separate `List (List ℕ)` values. See the section documentation. -/
inductive Γ'
| consₗ
| cons
| bit0
| bit1
deriving DecidableEq, Inhabited, Fintype
/-- The four stacks used by the program. `main` is used to store the input value in `trNormal`
mode and the output value in `Λ'.ret` mode, while `stack` is used to keep all the data for the
continuations. `rev` is used to store reversed lists when transferring values between stacks, and
`aux` is only used once in `cons₁`. See the section documentation. -/
inductive K'
| main
| rev
| aux
| stack
deriving DecidableEq, Inhabited
open K'
/-- Continuations as in `ToPartrec.Cont` but with the data removed. This is done because we want
the set of all continuations in the program to be finite (so that it can ultimately be encoded into
the finite state machine of a Turing machine), but a continuation can handle a potentially infinite
number of data values during execution. -/
inductive Cont'
| halt
| cons₁ : Code → Cont' → Cont'
| cons₂ : Cont' → Cont'
| comp : Code → Cont' → Cont'
| fix : Code → Cont' → Cont'
deriving DecidableEq, Inhabited
/-- The set of program positions. We make extensive use of inductive types here to let us describe
"subroutines"; for example `clear p k q` is a program that clears stack `k`, then does `q` where
`q` is another label. In order to prevent this from resulting in an infinite number of distinct
accessible states, we are careful to be non-recursive (although loops are okay). See the section
documentation for a description of all the programs. -/
inductive Λ'
| move (p : Γ' → Bool) (k₁ k₂ : K') (q : Λ')
| clear (p : Γ' → Bool) (k : K') (q : Λ')
| copy (q : Λ')
| push (k : K') (s : Option Γ' → Option Γ') (q : Λ')
| read (f : Option Γ' → Λ')
| succ (q : Λ')
| pred (q₁ q₂ : Λ')
| ret (k : Cont')
compile_inductive% Code
compile_inductive% Cont'
compile_inductive% K'
compile_inductive% Λ'
instance Λ'.instInhabited : Inhabited Λ' :=
⟨Λ'.ret Cont'.halt⟩
instance Λ'.instDecidableEq : DecidableEq Λ' := fun a b => by
induction a generalizing b <;> cases b <;> first
| apply Decidable.isFalse; rintro ⟨⟨⟩⟩; done
| exact decidable_of_iff' _ (by simp [funext_iff]; rfl)
/-- The type of TM2 statements used by this machine. -/
def Stmt' :=
TM2.Stmt (fun _ : K' => Γ') Λ' (Option Γ') deriving Inhabited
/-- The type of TM2 configurations used by this machine. -/
def Cfg' :=
TM2.Cfg (fun _ : K' => Γ') Λ' (Option Γ') deriving Inhabited
open TM2.Stmt
/-- A predicate that detects the end of a natural number, either `Γ'.cons` or `Γ'.consₗ` (or
implicitly the end of the list), for use in predicate-taking functions like `move` and `clear`. -/
@[simp]
def natEnd : Γ' → Bool
| Γ'.consₗ => true
| Γ'.cons => true
| _ => false
attribute [nolint simpNF] natEnd.eq_3
/-- Pop a value from the stack and place the result in local store. -/
@[simp]
def pop' (k : K') : Stmt' → Stmt' :=
pop k fun _ v => v
/-- Peek a value from the stack and place the result in local store. -/
@[simp]
def peek' (k : K') : Stmt' → Stmt' :=
peek k fun _ v => v
/-- Push the value in the local store to the given stack. -/
@[simp]
def push' (k : K') : Stmt' → Stmt' :=
push k fun x => x.iget
/-- Move everything from the `rev` stack to the `main` stack (reversed). -/
def unrev :=
Λ'.move (fun _ => false) rev main
/-- Move elements from `k₁` to `k₂` while `p` holds, with the last element being left on `k₁`. -/
def moveExcl (p k₁ k₂ q) :=
Λ'.move p k₁ k₂ <| Λ'.push k₁ id q
/-- Move elements from `k₁` to `k₂` without reversion, by performing a double move via the `rev`
stack. -/
def move₂ (p k₁ k₂ q) :=
moveExcl p k₁ rev <| Λ'.move (fun _ => false) rev k₂ q
/-- Assuming `trList v` is on the front of stack `k`, remove it, and push `v.headI` onto `main`.
See the section documentation. -/
def head (k : K') (q : Λ') : Λ' :=
| Λ'.move natEnd k rev <|
(Λ'.push rev fun _ => some Γ'.cons) <|
Λ'.read fun s =>
(if s = some Γ'.consₗ then id else Λ'.clear (fun x => x = Γ'.consₗ) k) <| unrev q
/-- The program that evaluates code `c` with continuation `k`. This expects an initial state where
`trList v` is on `main`, `trContStack k` is on `stack`, and `aux` and `rev` are empty.
See the section documentation for details. -/
@[simp]
def trNormal : Code → Cont' → Λ'
| Code.zero', k => (Λ'.push main fun _ => some Γ'.cons) <| Λ'.ret k
| Code.succ, k => head main <| Λ'.succ <| Λ'.ret k
| Code.tail, k => Λ'.clear natEnd main <| Λ'.ret k
| Code.cons f fs, k =>
(Λ'.push stack fun _ => some Γ'.consₗ) <|
Λ'.move (fun _ => false) main rev <| Λ'.copy <| trNormal f (Cont'.cons₁ fs k)
| Code.comp f g, k => trNormal g (Cont'.comp f k)
| Code.case f g, k => Λ'.pred (trNormal f k) (trNormal g k)
| Code.fix f, k => trNormal f (Cont'.fix f k)
| Mathlib/Computability/TMToPartrec.lean | 264 | 282 |
/-
Copyright (c) 2018 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison, Bhavik Mehta
-/
import Mathlib.CategoryTheory.Limits.HasLimits
import Mathlib.CategoryTheory.Discrete.Basic
/-!
# Categorical (co)products
This file defines (co)products as special cases of (co)limits.
A product is the categorical generalization of the object `Π i, f i` where `f : ι → C`. It is a
limit cone over the diagram formed by `f`, implemented by converting `f` into a functor
`Discrete ι ⥤ C`.
A coproduct is the dual concept.
## Main definitions
* a `Fan` is a cone over a discrete category
* `Fan.mk` constructs a fan from an indexed collection of maps
* a `Pi` is a `limit (Discrete.functor f)`
Each of these has a dual.
## Implementation notes
As with the other special shapes in the limits library, all the definitions here are given as
`abbreviation`s of the general statements for limits, so all the `simp` lemmas and theorems about
general limits can be used.
-/
noncomputable section
universe w w' w₂ w₃ v v₂ u u₂
open CategoryTheory
namespace CategoryTheory.Limits
variable {β : Type w} {α : Type w₂} {γ : Type w₃}
variable {C : Type u} [Category.{v} C]
-- We don't need an analogue of `Pair` (for binary products), `ParallelPair` (for equalizers),
-- or `(Co)span`, since we already have `Discrete.functor`.
/-- A fan over `f : β → C` consists of a collection of maps from an object `P` to every `f b`. -/
abbrev Fan (f : β → C) :=
Cone (Discrete.functor f)
/-- A cofan over `f : β → C` consists of a collection of maps from every `f b` to an object `P`. -/
abbrev Cofan (f : β → C) :=
Cocone (Discrete.functor f)
/-- A fan over `f : β → C` consists of a collection of maps from an object `P` to every `f b`. -/
@[simps! pt π_app]
def Fan.mk {f : β → C} (P : C) (p : ∀ b, P ⟶ f b) : Fan f where
pt := P
π := Discrete.natTrans (fun X => p X.as)
/-- A cofan over `f : β → C` consists of a collection of maps from every `f b` to an object `P`. -/
@[simps! pt ι_app]
def Cofan.mk {f : β → C} (P : C) (p : ∀ b, f b ⟶ P) : Cofan f where
pt := P
ι := Discrete.natTrans (fun X => p X.as)
/-- Get the `j`th "projection" in the fan.
(Note that the initial letter of `proj` matches the greek letter in `Cone.π`.) -/
def Fan.proj {f : β → C} (p : Fan f) (j : β) : p.pt ⟶ f j :=
p.π.app (Discrete.mk j)
/-- Get the `j`th "injection" in the cofan.
(Note that the initial letter of `inj` matches the greek letter in `Cocone.ι`.) -/
def Cofan.inj {f : β → C} (p : Cofan f) (j : β) : f j ⟶ p.pt :=
p.ι.app (Discrete.mk j)
@[simp]
theorem fan_mk_proj {f : β → C} (P : C) (p : ∀ b, P ⟶ f b) : (Fan.mk P p).proj = p :=
rfl
@[simp]
theorem cofan_mk_inj {f : β → C} (P : C) (p : ∀ b, f b ⟶ P) : (Cofan.mk P p).inj = p :=
rfl
/-- An abbreviation for `HasLimit (Discrete.functor f)`. -/
abbrev HasProduct (f : β → C) :=
HasLimit (Discrete.functor f)
/-- An abbreviation for `HasColimit (Discrete.functor f)`. -/
abbrev HasCoproduct (f : β → C) :=
HasColimit (Discrete.functor f)
lemma hasCoproduct_of_equiv_of_iso (f : α → C) (g : β → C)
[HasCoproduct f] (e : β ≃ α) (iso : ∀ j, g j ≅ f (e j)) : HasCoproduct g := by
have : HasColimit ((Discrete.equivalence e).functor ⋙ Discrete.functor f) :=
hasColimit_equivalence_comp _
have α : Discrete.functor g ≅ (Discrete.equivalence e).functor ⋙ Discrete.functor f :=
Discrete.natIso (fun ⟨j⟩ => iso j)
exact hasColimit_of_iso α
lemma hasProduct_of_equiv_of_iso (f : α → C) (g : β → C)
[HasProduct f] (e : β ≃ α) (iso : ∀ j, g j ≅ f (e j)) : HasProduct g := by
have : HasLimit ((Discrete.equivalence e).functor ⋙ Discrete.functor f) :=
hasLimitEquivalenceComp _
have α : Discrete.functor g ≅ (Discrete.equivalence e).functor ⋙ Discrete.functor f :=
Discrete.natIso (fun ⟨j⟩ => iso j)
exact hasLimit_of_iso α.symm
/-- Make a fan `f` into a limit fan by providing `lift`, `fac`, and `uniq` --
just a convenience lemma to avoid having to go through `Discrete` -/
@[simps]
| def mkFanLimit {f : β → C} (t : Fan f) (lift : ∀ s : Fan f, s.pt ⟶ t.pt)
(fac : ∀ (s : Fan f) (j : β), lift s ≫ t.proj j = s.proj j := by aesop_cat)
(uniq : ∀ (s : Fan f) (m : s.pt ⟶ t.pt) (_ : ∀ j : β, m ≫ t.proj j = s.proj j),
m = lift s := by aesop_cat) :
IsLimit t :=
{ lift }
| Mathlib/CategoryTheory/Limits/Shapes/Products.lean | 113 | 119 |
/-
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.Logic.Encodable.Lattice
import Mathlib.Order.Filter.AtTopBot.Finset
import Mathlib.Topology.Algebra.InfiniteSum.Group
/-!
# Infinite sums and products over `ℕ` and `ℤ`
This file contains lemmas about `HasSum`, `Summable`, `tsum`, `HasProd`, `Multipliable`, and `tprod`
applied to the important special cases where the domain is `ℕ` or `ℤ`. For instance, we prove the
formula `∑ i ∈ range k, f i + ∑' i, f (i + k) = ∑' i, f i`, ∈ `sum_add_tsum_nat_add`, as well as
several results relating sums and products on `ℕ` to sums and products on `ℤ`.
-/
noncomputable section
open Filter Finset Function Encodable
open scoped Topology
variable {M : Type*} [CommMonoid M] [TopologicalSpace M] {m m' : M}
variable {G : Type*} [CommGroup G] {g g' : G}
-- don't declare `[IsTopologicalAddGroup G]`, here as some results require
-- `[IsUniformAddGroup G]` instead
/-!
## Sums over `ℕ`
-/
section Nat
section Monoid
/-- If `f : ℕ → M` has product `m`, then the partial products `∏ i ∈ range n, f i` converge
to `m`. -/
@[to_additive "If `f : ℕ → M` has sum `m`, then the partial sums `∑ i ∈ range n, f i` converge
to `m`."]
theorem HasProd.tendsto_prod_nat {f : ℕ → M} (h : HasProd f m) :
Tendsto (fun n ↦ ∏ i ∈ range n, f i) atTop (𝓝 m) :=
h.comp tendsto_finset_range
/-- If `f : ℕ → M` is multipliable, then the partial products `∏ i ∈ range n, f i` converge
to `∏' i, f i`. -/
@[to_additive "If `f : ℕ → M` is summable, then the partial sums `∑ i ∈ range n, f i` converge
to `∑' i, f i`."]
theorem Multipliable.tendsto_prod_tprod_nat {f : ℕ → M} (h : Multipliable f) :
Tendsto (fun n ↦ ∏ i ∈ range n, f i) atTop (𝓝 (∏' i, f i)) :=
h.hasProd.tendsto_prod_nat
@[deprecated (since := "2025-02-02")]
alias HasProd.Multipliable.tendsto_prod_tprod_nat := Multipliable.tendsto_prod_tprod_nat
@[deprecated (since := "2025-02-02")]
alias HasSum.Multipliable.tendsto_sum_tsum_nat := Summable.tendsto_sum_tsum_nat
namespace HasProd
section ContinuousMul
variable [ContinuousMul M]
@[to_additive]
theorem prod_range_mul {f : ℕ → M} {k : ℕ} (h : HasProd (fun n ↦ f (n + k)) m) :
HasProd f ((∏ i ∈ range k, f i) * m) := by
refine ((range k).hasProd f).mul_compl ?_
rwa [← (notMemRangeEquiv k).symm.hasProd_iff]
@[to_additive]
theorem zero_mul {f : ℕ → M} (h : HasProd (fun n ↦ f (n + 1)) m) :
HasProd f (f 0 * m) := by
simpa only [prod_range_one] using h.prod_range_mul
@[to_additive]
theorem even_mul_odd {f : ℕ → M} (he : HasProd (fun k ↦ f (2 * k)) m)
(ho : HasProd (fun k ↦ f (2 * k + 1)) m') : HasProd f (m * m') := by
have := mul_right_injective₀ (two_ne_zero' ℕ)
replace ho := ((add_left_injective 1).comp this).hasProd_range_iff.2 ho
refine (this.hasProd_range_iff.2 he).mul_isCompl ?_ ho
simpa [Function.comp_def] using Nat.isCompl_even_odd
end ContinuousMul
end HasProd
namespace Multipliable
@[to_additive]
theorem hasProd_iff_tendsto_nat [T2Space M] {f : ℕ → M} (hf : Multipliable f) :
HasProd f m ↔ Tendsto (fun n : ℕ ↦ ∏ i ∈ range n, f i) atTop (𝓝 m) := by
refine ⟨fun h ↦ h.tendsto_prod_nat, fun h ↦ ?_⟩
rw [tendsto_nhds_unique h hf.hasProd.tendsto_prod_nat]
exact hf.hasProd
section ContinuousMul
variable [ContinuousMul M]
@[to_additive]
theorem comp_nat_add {f : ℕ → M} {k : ℕ} (h : Multipliable fun n ↦ f (n + k)) : Multipliable f :=
h.hasProd.prod_range_mul.multipliable
@[to_additive]
theorem even_mul_odd {f : ℕ → M} (he : Multipliable fun k ↦ f (2 * k))
(ho : Multipliable fun k ↦ f (2 * k + 1)) : Multipliable f :=
(he.hasProd.even_mul_odd ho.hasProd).multipliable
end ContinuousMul
end Multipliable
section tprod
variable {α β γ : Type*}
section Encodable
variable [Encodable β]
/-- You can compute a product over an encodable type by multiplying over the natural numbers and
taking a supremum. -/
@[to_additive "You can compute a sum over an encodable type by summing over the natural numbers and
taking a supremum. This is useful for outer measures."]
theorem tprod_iSup_decode₂ [CompleteLattice α] (m : α → M) (m0 : m ⊥ = 1) (s : β → α) :
∏' i : ℕ, m (⨆ b ∈ decode₂ β i, s b) = ∏' b : β, m (s b) := by
rw [← tprod_extend_one (@encode_injective β _)]
refine tprod_congr fun n ↦ ?_
rcases em (n ∈ Set.range (encode : β → ℕ)) with ⟨a, rfl⟩ | hn
· simp [encode_injective.extend_apply]
· rw [extend_apply' _ _ _ hn]
rw [← decode₂_ne_none_iff, ne_eq, not_not] at hn
simp [hn, m0]
/-- `tprod_iSup_decode₂` specialized to the complete lattice of sets. -/
@[to_additive "`tsum_iSup_decode₂` specialized to the complete lattice of sets."]
theorem tprod_iUnion_decode₂ (m : Set α → M) (m0 : m ∅ = 1) (s : β → Set α) :
∏' i, m (⋃ b ∈ decode₂ β i, s b) = ∏' b, m (s b) :=
tprod_iSup_decode₂ m m0 s
end Encodable
/-! Some properties about measure-like functions. These could also be functions defined on complete
sublattices of sets, with the property that they are countably sub-additive.
`R` will probably be instantiated with `(≤)` in all applications.
-/
section Countable
variable [Countable β]
/-- If a function is countably sub-multiplicative then it is sub-multiplicative on countable
types -/
@[to_additive "If a function is countably sub-additive then it is sub-additive on countable types"]
theorem rel_iSup_tprod [CompleteLattice α] (m : α → M) (m0 : m ⊥ = 1) (R : M → M → Prop)
(m_iSup : ∀ s : ℕ → α, R (m (⨆ i, s i)) (∏' i, m (s i))) (s : β → α) :
R (m (⨆ b : β, s b)) (∏' b : β, m (s b)) := by
cases nonempty_encodable β
rw [← iSup_decode₂, ← tprod_iSup_decode₂ _ m0 s]
exact m_iSup _
/-- If a function is countably sub-multiplicative then it is sub-multiplicative on finite sets -/
@[to_additive "If a function is countably sub-additive then it is sub-additive on finite sets"]
theorem rel_iSup_prod [CompleteLattice α] (m : α → M) (m0 : m ⊥ = 1) (R : M → M → Prop)
(m_iSup : ∀ s : ℕ → α, R (m (⨆ i, s i)) (∏' i, m (s i))) (s : γ → α) (t : Finset γ) :
R (m (⨆ d ∈ t, s d)) (∏ d ∈ t, m (s d)) := by
rw [iSup_subtype', ← Finset.tprod_subtype]
exact rel_iSup_tprod m m0 R m_iSup _
/-- If a function is countably sub-multiplicative then it is binary sub-multiplicative -/
@[to_additive "If a function is countably sub-additive then it is binary sub-additive"]
theorem rel_sup_mul [CompleteLattice α] (m : α → M) (m0 : m ⊥ = 1) (R : M → M → Prop)
(m_iSup : ∀ s : ℕ → α, R (m (⨆ i, s i)) (∏' i, m (s i))) (s₁ s₂ : α) :
R (m (s₁ ⊔ s₂)) (m s₁ * m s₂) := by
convert rel_iSup_tprod m m0 R m_iSup fun b ↦ cond b s₁ s₂
· simp only [iSup_bool_eq, cond]
· rw [tprod_fintype, Fintype.prod_bool, cond, cond]
end Countable
section ContinuousMul
variable [T2Space M] [ContinuousMul M]
@[to_additive]
protected theorem Multipliable.prod_mul_tprod_nat_mul'
{f : ℕ → M} {k : ℕ} (h : Multipliable (fun n ↦ f (n + k))) :
((∏ i ∈ range k, f i) * ∏' i, f (i + k)) = ∏' i, f i :=
h.hasProd.prod_range_mul.tprod_eq.symm
@[deprecated (since := "2025-04-12")] alias sum_add_tsum_nat_add' := Summable.sum_add_tsum_nat_add'
@[to_additive existing, deprecated (since := "2025-04-12")] alias prod_mul_tprod_nat_mul' :=
Multipliable.prod_mul_tprod_nat_mul'
@[to_additive]
theorem tprod_eq_zero_mul'
{f : ℕ → M} (hf : Multipliable (fun n ↦ f (n + 1))) :
∏' b, f b = f 0 * ∏' b, f (b + 1) := by
simpa only [prod_range_one] using hf.prod_mul_tprod_nat_mul'.symm
@[to_additive]
theorem tprod_even_mul_odd {f : ℕ → M} (he : Multipliable fun k ↦ f (2 * k))
(ho : Multipliable fun k ↦ f (2 * k + 1)) :
(∏' k, f (2 * k)) * ∏' k, f (2 * k + 1) = ∏' k, f k :=
(he.hasProd.even_mul_odd ho.hasProd).tprod_eq.symm
end ContinuousMul
end tprod
end Monoid
section IsTopologicalGroup
| variable [TopologicalSpace G] [IsTopologicalGroup G]
@[to_additive]
theorem hasProd_nat_add_iff {f : ℕ → G} (k : ℕ) :
| Mathlib/Topology/Algebra/InfiniteSum/NatInt.lean | 218 | 221 |
/-
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.Lattice.Prod
import Mathlib.Data.Finite.Prod
import Mathlib.Data.Set.Lattice.Image
/-!
# 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 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
@[simp]
theorem mem_image₂ : c ∈ image₂ f s t ↔ ∃ a ∈ s, ∃ b ∈ t, f a b = c := by
simp [image₂, and_assoc]
@[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
theorem card_image₂_le (f : α → β → γ) (s : Finset α) (t : Finset β) :
#(image₂ f s t) ≤ #s * #t :=
card_image_le.trans_eq <| card_product _ _
theorem card_image₂_iff :
#(image₂ f s t) = #s * #t ↔ (s ×ˢ t : Set (α × β)).InjOn fun x => f x.1 x.2 := by
rw [← card_product, ← coe_product]
exact card_image_iff
theorem card_image₂ (hf : Injective2 f) (s : Finset α) (t : Finset β) :
#(image₂ f s t) = #s * #t :=
(card_image_of_injective _ hf.uncurry).trans <| card_product _ _
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⟩
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]
@[gcongr]
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
@[gcongr]
theorem image₂_subset_left (ht : t ⊆ t') : image₂ f s t ⊆ image₂ f s t' :=
image₂_subset Subset.rfl ht
@[gcongr]
theorem image₂_subset_right (hs : s ⊆ s') : image₂ f s t ⊆ image₂ f s' t :=
image₂_subset hs Subset.rfl
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
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
lemma forall_mem_image₂ {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_mem_image2]
lemma exists_mem_image₂ {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, exists_mem_image2]
@[deprecated (since := "2024-11-23")] alias forall_image₂_iff := forall_mem_image₂
@[simp]
theorem image₂_subset_iff : image₂ f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u :=
forall_mem_image₂
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]
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]
@[simp]
theorem image₂_nonempty_iff : (image₂ f s t).Nonempty ↔ s.Nonempty ∧ t.Nonempty := by
rw [← coe_nonempty, coe_image₂]
exact image2_nonempty_iff
@[aesop safe apply (rule_sets := [finsetNonempty])]
theorem Nonempty.image₂ (hs : s.Nonempty) (ht : t.Nonempty) : (image₂ f s t).Nonempty :=
image₂_nonempty_iff.2 ⟨hs, ht⟩
theorem Nonempty.of_image₂_left (h : (s.image₂ f t).Nonempty) : s.Nonempty :=
(image₂_nonempty_iff.1 h).1
theorem Nonempty.of_image₂_right (h : (s.image₂ f t).Nonempty) : t.Nonempty :=
(image₂_nonempty_iff.1 h).2
@[simp]
theorem image₂_empty_left : image₂ f ∅ t = ∅ :=
coe_injective <| by simp
@[simp]
theorem image₂_empty_right : image₂ f s ∅ = ∅ :=
coe_injective <| by simp
@[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]
@[simp]
theorem image₂_singleton_left : image₂ f {a} t = t.image fun b => f a b :=
ext fun x => by simp
@[simp]
theorem image₂_singleton_right : image₂ f s {b} = s.image fun a => f a b :=
ext fun x => by simp
theorem image₂_singleton_left' : image₂ f {a} t = t.image (f a) :=
image₂_singleton_left
theorem image₂_singleton : image₂ f {a} {b} = {f a b} := by simp
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
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
@[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
@[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
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
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
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
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
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
/-- 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
variable (s t)
theorem card_image₂_singleton_left (hf : Injective (f a)) : #(image₂ f {a} t) = #t := by
rw [image₂_singleton_left, card_image_of_injective _ hf]
theorem card_image₂_singleton_right (hf : Injective fun a => f a b) :
#(image₂ f s {b}) = #s := by rw [image₂_singleton_right, card_image_of_injective _ hf]
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]
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]
theorem card_le_card_image₂_left {s : Finset α} (hs : s.Nonempty) (hf : ∀ a, Injective (f a)) :
#t ≤ #(image₂ f s t) := by
obtain ⟨a, ha⟩ := hs
rw [← card_image₂_singleton_left _ (hf a)]
exact card_le_card (image₂_subset_right <| singleton_subset_iff.2 ha)
theorem card_le_card_image₂_right {t : Finset β} (ht : t.Nonempty)
(hf : ∀ b, Injective fun a => f a b) : #s ≤ #(image₂ f s t) := by
obtain ⟨b, hb⟩ := ht
rw [← card_image₂_singleton_right _ (hf b)]
exact card_le_card (image₂_subset_left <| singleton_subset_iff.2 hb)
variable {s t}
theorem biUnion_image_left : (s.biUnion fun a => t.image <| f a) = image₂ f s t :=
coe_injective <| by
push_cast
exact Set.iUnion_image_left _
theorem biUnion_image_right : (t.biUnion fun b => s.image fun a => f a b) = image₂ f s t :=
coe_injective <| by
push_cast
exact Set.iUnion_image_right _
/-!
### Algebraic replacement rules
A collection of lemmas to transfer associativity, commutativity, distributivity, ... of operations
to the associativity, commutativity, distributivity, ... of `Finset.image₂` of those operations.
The proof pattern is `image₂_lemma operation_lemma`. For example, `image₂_comm mul_comm` proves that
`image₂ (*) f g = image₂ (*) g f` in a `CommSemigroup`.
-/
section
variable [DecidableEq δ]
theorem image_image₂ (f : α → β → γ) (g : γ → δ) :
(image₂ f s t).image g = image₂ (fun a b => g (f a b)) s t :=
coe_injective <| by
push_cast
exact image_image2 _ _
theorem image₂_image_left (f : γ → β → δ) (g : α → γ) :
image₂ f (s.image g) t = image₂ (fun a b => f (g a) b) s t :=
coe_injective <| by
push_cast
exact image2_image_left _ _
theorem image₂_image_right (f : α → γ → δ) (g : β → γ) :
image₂ f s (t.image g) = image₂ (fun a b => f a (g b)) s t :=
coe_injective <| by
push_cast
exact image2_image_right _ _
@[simp]
theorem image₂_mk_eq_product [DecidableEq α] [DecidableEq β] (s : Finset α) (t : Finset β) :
image₂ Prod.mk s t = s ×ˢ t := by ext; simp [Prod.ext_iff]
@[simp]
theorem image₂_curry (f : α × β → γ) (s : Finset α) (t : Finset β) :
image₂ (curry f) s t = (s ×ˢ t).image f := rfl
@[simp]
theorem image_uncurry_product (f : α → β → γ) (s : Finset α) (t : Finset β) :
(s ×ˢ t).image (uncurry f) = image₂ f s t := rfl
theorem image₂_swap (f : α → β → γ) (s : Finset α) (t : Finset β) :
image₂ f s t = image₂ (fun a b => f b a) t s :=
coe_injective <| by
push_cast
exact image2_swap _ _ _
@[simp]
theorem image₂_left [DecidableEq α] (h : t.Nonempty) : image₂ (fun x _ => x) s t = s :=
coe_injective <| by
push_cast
exact image2_left h
@[simp]
theorem image₂_right [DecidableEq β] (h : s.Nonempty) : image₂ (fun _ y => y) s t = t :=
coe_injective <| by
push_cast
exact image2_right h
theorem image₂_assoc {γ : Type*} {u : Finset γ}
{f : δ → γ → ε} {g : α → β → δ} {f' : α → ε' → ε}
{g' : β → γ → ε'} (h_assoc : ∀ a b c, f (g a b) c = f' a (g' b c)) :
image₂ f (image₂ g s t) u = image₂ f' s (image₂ g' t u) :=
coe_injective <| by
push_cast
exact image2_assoc h_assoc
theorem image₂_comm {g : β → α → γ} (h_comm : ∀ a b, f a b = g b a) : image₂ f s t = image₂ g t s :=
(image₂_swap _ _ _).trans <| by simp_rw [h_comm]
theorem image₂_left_comm {γ : Type*} {u : Finset γ} {f : α → δ → ε} {g : β → γ → δ}
{f' : α → γ → δ'} {g' : β → δ' → ε} (h_left_comm : ∀ a b c, f a (g b c) = g' b (f' a c)) :
image₂ f s (image₂ g t u) = image₂ g' t (image₂ f' s u) :=
coe_injective <| by
push_cast
exact image2_left_comm h_left_comm
theorem image₂_right_comm {γ : Type*} {u : Finset γ} {f : δ → γ → ε} {g : α → β → δ}
{f' : α → γ → δ'} {g' : δ' → β → ε} (h_right_comm : ∀ a b c, f (g a b) c = g' (f' a c) b) :
image₂ f (image₂ g s t) u = image₂ g' (image₂ f' s u) t :=
coe_injective <| by
push_cast
exact image2_right_comm h_right_comm
theorem image₂_image₂_image₂_comm {γ δ : Type*} {u : Finset γ} {v : Finset δ} [DecidableEq ζ]
[DecidableEq ζ'] [DecidableEq ν] {f : ε → ζ → ν} {g : α → β → ε} {h : γ → δ → ζ}
{f' : ε' → ζ' → ν} {g' : α → γ → ε'} {h' : β → δ → ζ'}
(h_comm : ∀ a b c d, f (g a b) (h c d) = f' (g' a c) (h' b d)) :
image₂ f (image₂ g s t) (image₂ h u v) = image₂ f' (image₂ g' s u) (image₂ h' t v) :=
coe_injective <| by
push_cast
exact image2_image2_image2_comm h_comm
theorem image_image₂_distrib {g : γ → δ} {f' : α' → β' → δ} {g₁ : α → α'} {g₂ : β → β'}
(h_distrib : ∀ a b, g (f a b) = f' (g₁ a) (g₂ b)) :
(image₂ f s t).image g = image₂ f' (s.image g₁) (t.image g₂) :=
coe_injective <| by
push_cast
exact image_image2_distrib h_distrib
/-- Symmetric statement to `Finset.image₂_image_left_comm`. -/
theorem image_image₂_distrib_left {g : γ → δ} {f' : α' → β → δ} {g' : α → α'}
(h_distrib : ∀ a b, g (f a b) = f' (g' a) b) :
(image₂ f s t).image g = image₂ f' (s.image g') t :=
coe_injective <| by
push_cast
exact image_image2_distrib_left h_distrib
/-- Symmetric statement to `Finset.image_image₂_right_comm`. -/
theorem image_image₂_distrib_right {g : γ → δ} {f' : α → β' → δ} {g' : β → β'}
(h_distrib : ∀ a b, g (f a b) = f' a (g' b)) :
(image₂ f s t).image g = image₂ f' s (t.image g') :=
coe_injective <| by
push_cast
exact image_image2_distrib_right h_distrib
/-- Symmetric statement to `Finset.image_image₂_distrib_left`. -/
theorem image₂_image_left_comm {f : α' → β → γ} {g : α → α'} {f' : α → β → δ} {g' : δ → γ}
(h_left_comm : ∀ a b, f (g a) b = g' (f' a b)) :
image₂ f (s.image g) t = (image₂ f' s t).image g' :=
(image_image₂_distrib_left fun a b => (h_left_comm a b).symm).symm
/-- Symmetric statement to `Finset.image_image₂_distrib_right`. -/
theorem image_image₂_right_comm {f : α → β' → γ} {g : β → β'} {f' : α → β → δ} {g' : δ → γ}
(h_right_comm : ∀ a b, f a (g b) = g' (f' a b)) :
image₂ f s (t.image g) = (image₂ f' s t).image g' :=
(image_image₂_distrib_right fun a b => (h_right_comm a b).symm).symm
/-- The other direction does not hold because of the `s`-`s` cross terms on the RHS. -/
theorem image₂_distrib_subset_left {γ : Type*} {u : Finset γ} {f : α → δ → ε} {g : β → γ → δ}
{f₁ : α → β → β'} {f₂ : α → γ → γ'} {g' : β' → γ' → ε}
(h_distrib : ∀ a b c, f a (g b c) = g' (f₁ a b) (f₂ a c)) :
image₂ f s (image₂ g t u) ⊆ image₂ g' (image₂ f₁ s t) (image₂ f₂ s u) :=
coe_subset.1 <| by
push_cast
exact Set.image2_distrib_subset_left h_distrib
/-- The other direction does not hold because of the `u`-`u` cross terms on the RHS. -/
theorem image₂_distrib_subset_right {γ : Type*} {u : Finset γ} {f : δ → γ → ε} {g : α → β → δ}
{f₁ : α → γ → α'} {f₂ : β → γ → β'} {g' : α' → β' → ε}
(h_distrib : ∀ a b c, f (g a b) c = g' (f₁ a c) (f₂ b c)) :
image₂ f (image₂ g s t) u ⊆ image₂ g' (image₂ f₁ s u) (image₂ f₂ t u) :=
coe_subset.1 <| by
push_cast
exact Set.image2_distrib_subset_right h_distrib
theorem image_image₂_antidistrib {g : γ → δ} {f' : β' → α' → δ} {g₁ : β → β'} {g₂ : α → α'}
(h_antidistrib : ∀ a b, g (f a b) = f' (g₁ b) (g₂ a)) :
(image₂ f s t).image g = image₂ f' (t.image g₁) (s.image g₂) := by
rw [image₂_swap f]
exact image_image₂_distrib fun _ _ => h_antidistrib _ _
/-- Symmetric statement to `Finset.image₂_image_left_anticomm`. -/
theorem image_image₂_antidistrib_left {g : γ → δ} {f' : β' → α → δ} {g' : β → β'}
(h_antidistrib : ∀ a b, g (f a b) = f' (g' b) a) :
(image₂ f s t).image g = image₂ f' (t.image g') s :=
coe_injective <| by
push_cast
exact image_image2_antidistrib_left h_antidistrib
/-- Symmetric statement to `Finset.image_image₂_right_anticomm`. -/
theorem image_image₂_antidistrib_right {g : γ → δ} {f' : β → α' → δ} {g' : α → α'}
(h_antidistrib : ∀ a b, g (f a b) = f' b (g' a)) :
(image₂ f s t).image g = image₂ f' t (s.image g') :=
coe_injective <| by
push_cast
exact image_image2_antidistrib_right h_antidistrib
/-- Symmetric statement to `Finset.image_image₂_antidistrib_left`. -/
theorem image₂_image_left_anticomm {f : α' → β → γ} {g : α → α'} {f' : β → α → δ} {g' : δ → γ}
(h_left_anticomm : ∀ a b, f (g a) b = g' (f' b a)) :
image₂ f (s.image g) t = (image₂ f' t s).image g' :=
(image_image₂_antidistrib_left fun a b => (h_left_anticomm b a).symm).symm
/-- Symmetric statement to `Finset.image_image₂_antidistrib_right`. -/
theorem image_image₂_right_anticomm {f : α → β' → γ} {g : β → β'} {f' : β → α → δ} {g' : δ → γ}
(h_right_anticomm : ∀ a b, f a (g b) = g' (f' b a)) :
image₂ f s (t.image g) = (image₂ f' t s).image g' :=
(image_image₂_antidistrib_right fun a b => (h_right_anticomm b a).symm).symm
/-- If `a` is a left identity for `f : α → β → β`, then `{a}` is a left identity for
`Finset.image₂ f`. -/
theorem image₂_left_identity {f : α → γ → γ} {a : α} (h : ∀ b, f a b = b) (t : Finset γ) :
image₂ f {a} t = t :=
coe_injective <| by rw [coe_image₂, coe_singleton, Set.image2_left_identity h]
/-- If `b` is a right identity for `f : α → β → α`, then `{b}` is a right identity for
`Finset.image₂ f`. -/
theorem image₂_right_identity {f : γ → β → γ} {b : β} (h : ∀ a, f a b = a) (s : Finset γ) :
image₂ f s {b} = s := by rw [image₂_singleton_right, funext h, image_id']
/-- If each partial application of `f` is injective, and images of `s` under those partial
applications are disjoint (but not necessarily distinct!), then the size of `t` divides the size of
`Finset.image₂ f s t`. -/
theorem card_dvd_card_image₂_right (hf : ∀ a ∈ s, Injective (f a))
(hs : ((fun a => t.image <| f a) '' s).PairwiseDisjoint id) : #t ∣ #(image₂ f s t) := by
classical
induction' s using Finset.induction with a s _ ih
· simp
specialize ih (forall_of_forall_insert hf)
(hs.subset <| Set.image_subset _ <| coe_subset.2 <| subset_insert _ _)
rw [image₂_insert_left]
by_cases h : Disjoint (image (f a) t) (image₂ f s t)
· rw [card_union_of_disjoint h]
exact Nat.dvd_add (card_image_of_injective _ <| hf _ <| mem_insert_self _ _).symm.dvd ih
simp_rw [← biUnion_image_left, disjoint_biUnion_right, not_forall] at h
obtain ⟨b, hb, h⟩ := h
rwa [union_eq_right.2]
exact (hs.eq (Set.mem_image_of_mem _ <| mem_insert_self _ _)
(Set.mem_image_of_mem _ <| mem_insert_of_mem hb) h).trans_subset
(image_subset_image₂_right hb)
/-- If each partial application of `f` is injective, and images of `t` under those partial
applications are disjoint (but not necessarily distinct!), then the size of `s` divides the size of
`Finset.image₂ f s t`. -/
theorem card_dvd_card_image₂_left (hf : ∀ b ∈ t, Injective fun a => f a b)
(ht : ((fun b => s.image fun a => f a b) '' t).PairwiseDisjoint id) :
#s ∣ #(image₂ f s t) := by rw [← image₂_swap]; exact card_dvd_card_image₂_right hf ht
/-- If a `Finset` is a subset of the image of two `Set`s under a binary operation,
then it is a subset of the `Finset.image₂` of two `Finset` subsets of these `Set`s. -/
theorem subset_set_image₂ {s : Set α} {t : Set β} (hu : ↑u ⊆ image2 f s t) :
∃ (s' : Finset α) (t' : Finset β), ↑s' ⊆ s ∧ ↑t' ⊆ t ∧ u ⊆ image₂ f s' t' := by
rw [← Set.image_prod, subset_set_image_iff] at hu
rcases hu with ⟨u, hu, rfl⟩
classical
use u.image Prod.fst, u.image Prod.snd
simp only [coe_image, Set.image_subset_iff, image₂_image_left, image₂_image_right,
image_subset_iff]
exact ⟨fun _ h ↦ (hu h).1, fun _ h ↦ (hu h).2, fun x hx ↦ mem_image₂_of_mem hx hx⟩
end
section UnionInter
variable [DecidableEq α] [DecidableEq β]
theorem image₂_inter_union_subset_union :
image₂ f (s ∩ s') (t ∪ t') ⊆ image₂ f s t ∪ image₂ f s' t' :=
coe_subset.1 <| by
push_cast
exact Set.image2_inter_union_subset_union
theorem image₂_union_inter_subset_union :
image₂ f (s ∪ s') (t ∩ t') ⊆ image₂ f s t ∪ image₂ f s' t' :=
coe_subset.1 <| by
push_cast
exact Set.image2_union_inter_subset_union
theorem image₂_inter_union_subset {f : α → α → β} {s t : Finset α} (hf : ∀ a b, f a b = f b a) :
image₂ f (s ∩ t) (s ∪ t) ⊆ image₂ f s t :=
coe_subset.1 <| by
push_cast
exact image2_inter_union_subset hf
theorem image₂_union_inter_subset {f : α → α → β} {s t : Finset α} (hf : ∀ a b, f a b = f b a) :
image₂ f (s ∪ t) (s ∩ t) ⊆ image₂ f s t :=
coe_subset.1 <| by
push_cast
exact image2_union_inter_subset hf
end UnionInter
section SemilatticeSup
variable [SemilatticeSup δ]
@[simp (default + 1)] -- otherwise `simp` doesn't use `forall_mem_image₂`
lemma sup'_image₂_le {g : γ → δ} {a : δ} (h : (image₂ f s t).Nonempty) :
sup' (image₂ f s t) h g ≤ a ↔ ∀ x ∈ s, ∀ y ∈ t, g (f x y) ≤ a := by
rw [sup'_le_iff, forall_mem_image₂]
lemma sup'_image₂_left (g : γ → δ) (h : (image₂ f s t).Nonempty) :
sup' (image₂ f s t) h g =
sup' s h.of_image₂_left fun x ↦ sup' t h.of_image₂_right (g <| f x ·) := by
simp only [image₂, sup'_image, sup'_product_left]; rfl
lemma sup'_image₂_right (g : γ → δ) (h : (image₂ f s t).Nonempty) :
sup' (image₂ f s t) h g =
sup' t h.of_image₂_right fun y ↦ sup' s h.of_image₂_left (g <| f · y) := by
simp only [image₂, sup'_image, sup'_product_right]; rfl
variable [OrderBot δ]
@[simp (default + 1)] -- otherwise `simp` doesn't use `forall_mem_image₂`
lemma sup_image₂_le {g : γ → δ} {a : δ} :
sup (image₂ f s t) g ≤ a ↔ ∀ x ∈ s, ∀ y ∈ t, g (f x y) ≤ a := by
rw [Finset.sup_le_iff, forall_mem_image₂]
variable (s t)
lemma sup_image₂_left (g : γ → δ) : sup (image₂ f s t) g = sup s fun x ↦ sup t (g <| f x ·) := by
simp only [image₂, sup_image, sup_product_left]; rfl
lemma sup_image₂_right (g : γ → δ) : sup (image₂ f s t) g = sup t fun y ↦ sup s (g <| f · y) := by
simp only [image₂, sup_image, sup_product_right]; rfl
end SemilatticeSup
section SemilatticeInf
variable [SemilatticeInf δ]
@[simp (default + 1)] -- otherwise `simp` doesn't use `forall_mem_image₂`
lemma le_inf'_image₂ {g : γ → δ} {a : δ} (h : (image₂ f s t).Nonempty) :
a ≤ inf' (image₂ f s t) h g ↔ ∀ x ∈ s, ∀ y ∈ t, a ≤ g (f x y) := by
rw [le_inf'_iff, forall_mem_image₂]
lemma inf'_image₂_left (g : γ → δ) (h : (image₂ f s t).Nonempty) :
inf' (image₂ f s t) h g =
inf' s h.of_image₂_left fun x ↦ inf' t h.of_image₂_right (g <| f x ·) :=
sup'_image₂_left (δ := δᵒᵈ) g h
lemma inf'_image₂_right (g : γ → δ) (h : (image₂ f s t).Nonempty) :
inf' (image₂ f s t) h g =
inf' t h.of_image₂_right fun y ↦ inf' s h.of_image₂_left (g <| f · y) :=
sup'_image₂_right (δ := δᵒᵈ) g h
variable [OrderTop δ]
@[simp (default + 1)] -- otherwise `simp` doesn't use `forall_mem_image₂`
lemma le_inf_image₂ {g : γ → δ} {a : δ} :
a ≤ inf (image₂ f s t) g ↔ ∀ x ∈ s, ∀ y ∈ t, a ≤ g (f x y) :=
sup_image₂_le (δ := δᵒᵈ)
variable (s t)
lemma inf_image₂_left (g : γ → δ) : inf (image₂ f s t) g = inf s fun x ↦ inf t (g ∘ f x) :=
sup_image₂_left (δ := δᵒᵈ) ..
lemma inf_image₂_right (g : γ → δ) : inf (image₂ f s t) g = inf t fun y ↦ inf s (g <| f · y) :=
sup_image₂_right (δ := δᵒᵈ) ..
end SemilatticeInf
end Finset
open Finset
namespace Fintype
variable {ι : Type*} {α β γ : ι → Type*} [DecidableEq ι] [Fintype ι] [∀ i, DecidableEq (γ i)]
lemma piFinset_image₂ (f : ∀ i, α i → β i → γ i) (s : ∀ i, Finset (α i)) (t : ∀ i, Finset (β i)) :
piFinset (fun i ↦ image₂ (f i) (s i) (t i)) =
image₂ (fun a b i ↦ f _ (a i) (b i)) (piFinset s) (piFinset t) := by
ext; simp only [mem_piFinset, mem_image₂, Classical.skolem, forall_and, funext_iff]
end Fintype
namespace Set
variable [DecidableEq γ] {s : Set α} {t : Set β}
@[simp]
theorem toFinset_image2 (f : α → β → γ) (s : Set α) (t : Set β) [Fintype s] [Fintype t]
[Fintype (image2 f s t)] : (image2 f s t).toFinset = Finset.image₂ f s.toFinset t.toFinset :=
Finset.coe_injective <| by simp
theorem Finite.toFinset_image2 (f : α → β → γ) (hs : s.Finite) (ht : t.Finite)
(hf := hs.image2 f ht) : hf.toFinset = Finset.image₂ f hs.toFinset ht.toFinset :=
Finset.coe_injective <| by simp
end Set
| Mathlib/Data/Finset/NAry.lean | 654 | 657 | |
/-
Copyright (c) 2022 Christopher Hoskin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Christopher Hoskin
-/
import Mathlib.Algebra.Ring.Idempotent
import Mathlib.Analysis.Normed.Group.Basic
import Mathlib.Order.Basic
import Mathlib.Tactic.NoncommRing
/-!
# M-structure
A projection P on a normed space X is said to be an L-projection (`IsLprojection`) if, for all `x`
in `X`,
$\|x\| = \|P x\| + \|(1 - P) x\|$.
A projection P on a normed space X is said to be an M-projection if, for all `x` in `X`,
$\|x\| = max(\|P x\|,\|(1 - P) x\|)$.
The L-projections on `X` form a Boolean algebra (`IsLprojection.Subtype.BooleanAlgebra`).
## TODO (Motivational background)
The M-projections on a normed space form a Boolean algebra.
The range of an L-projection on a normed space `X` is said to be an L-summand of `X`. The range of
an M-projection is said to be an M-summand of `X`.
When `X` is a Banach space, the Boolean algebra of L-projections is complete. Let `X` be a normed
space with dual `X^*`. A closed subspace `M` of `X` is said to be an M-ideal if the topological
annihilator `M^∘` is an L-summand of `X^*`.
M-ideal, M-summands and L-summands were introduced by Alfsen and Effros in [alfseneffros1972] to
study the structure of general Banach spaces. When `A` is a JB*-triple, the M-ideals of `A` are
exactly the norm-closed ideals of `A`. When `A` is a JBW*-triple with predual `X`, the M-summands of
`A` are exactly the weak*-closed ideals, and their pre-duals can be identified with the L-summands
of `X`. In the special case when `A` is a C*-algebra, the M-ideals are exactly the norm-closed
two-sided ideals of `A`, when `A` is also a W*-algebra the M-summands are exactly the weak*-closed
two-sided ideals of `A`.
## Implementation notes
The approach to showing that the L-projections form a Boolean algebra is inspired by
`MeasureTheory.MeasurableSpace`.
Instead of using `P : X →L[𝕜] X` to represent projections, we use an arbitrary ring `M` with a
faithful action on `X`. `ContinuousLinearMap.apply_module` can be used to recover the `X →L[𝕜] X`
special case.
## References
* [Behrends, M-structure and the Banach-Stone Theorem][behrends1979]
* [Harmand, Werner, Werner, M-ideals in Banach spaces and Banach algebras][harmandwernerwerner1993]
## Tags
M-summand, M-projection, L-summand, L-projection, M-ideal, M-structure
-/
variable (X : Type*) [NormedAddCommGroup X]
variable {M : Type*} [Ring M] [Module M X]
/-- A projection on a normed space `X` is said to be an L-projection if, for all `x` in `X`,
$\|x\| = \|P x\| + \|(1 - P) x\|$.
Note that we write `P • x` instead of `P x` for reasons described in the module docstring.
-/
structure IsLprojection (P : M) : Prop where
proj : IsIdempotentElem P
Lnorm : ∀ x : X, ‖x‖ = ‖P • x‖ + ‖(1 - P) • x‖
/-- A projection on a normed space `X` is said to be an M-projection if, for all `x` in `X`,
$\|x\| = max(\|P x\|,\|(1 - P) x\|)$.
Note that we write `P • x` instead of `P x` for reasons described in the module docstring.
-/
structure IsMprojection (P : M) : Prop where
proj : IsIdempotentElem P
Mnorm : ∀ x : X, ‖x‖ = max ‖P • x‖ ‖(1 - P) • x‖
variable {X}
namespace IsLprojection
-- TODO: The literature always uses uppercase 'L' for L-projections
theorem Lcomplement {P : M} (h : IsLprojection X P) : IsLprojection X (1 - P) :=
⟨h.proj.one_sub, fun x => by
rw [add_comm, sub_sub_cancel]
exact h.Lnorm x⟩
theorem Lcomplement_iff (P : M) : IsLprojection X P ↔ IsLprojection X (1 - P) :=
⟨Lcomplement, fun h => sub_sub_cancel 1 P ▸ h.Lcomplement⟩
theorem commute [FaithfulSMul M X] {P Q : M} (h₁ : IsLprojection X P) (h₂ : IsLprojection X Q) :
Commute P Q := by
have PR_eq_RPR : ∀ R : M, IsLprojection X R → P * R = R * P * R := fun R h₃ => by
refine @eq_of_smul_eq_smul _ X _ _ _ _ fun x => by
rw [← norm_sub_eq_zero_iff]
have e1 : ‖R • x‖ ≥ ‖R • x‖ + 2 • ‖(P * R) • x - (R * P * R) • x‖ :=
calc
‖R • x‖ = ‖R • P • R • x‖ + ‖(1 - R) • P • R • x‖ +
(‖(R * R) • x - R • P • R • x‖ + ‖(1 - R) • (1 - P) • R • x‖) := by
rw [h₁.Lnorm, h₃.Lnorm, h₃.Lnorm ((1 - P) • R • x), sub_smul 1 P, one_smul, smul_sub,
mul_smul]
_ = ‖R • P • R • x‖ + ‖(1 - R) • P • R • x‖ +
(‖R • x - R • P • R • x‖ + ‖((1 - R) * R) • x - (1 - R) • P • R • x‖) := by
rw [h₃.proj.eq, sub_smul 1 P, one_smul, smul_sub, mul_smul]
_ = ‖R • P • R • x‖ + ‖(1 - R) • P • R • x‖ +
(‖R • x - R • P • R • x‖ + ‖(1 - R) • P • R • x‖) := by
rw [sub_mul, h₃.proj.eq, one_mul, sub_self, zero_smul, zero_sub, norm_neg]
_ = ‖R • P • R • x‖ + ‖R • x - R • P • R • x‖ + 2 • ‖(1 - R) • P • R • x‖ := by abel
_ ≥ ‖R • x‖ + 2 • ‖(P * R) • x - (R * P * R) • x‖ := by
rw [GE.ge]
have :=
add_le_add_right (norm_le_insert' (R • x) (R • P • R • x)) (2 • ‖(1 - R) • P • R • x‖)
simpa only [mul_smul, sub_smul, one_smul] using this
rw [GE.ge] at e1
nth_rewrite 2 [← add_zero ‖R • x‖] at e1
rw [add_le_add_iff_left, two_smul, ← two_mul] at e1
rw [le_antisymm_iff]
refine ⟨?_, norm_nonneg _⟩
rwa [← mul_zero (2 : ℝ), mul_le_mul_left (show (0 : ℝ) < 2 by norm_num)] at e1
have QP_eq_QPQ : Q * P = Q * P * Q := by
have e1 : P * (1 - Q) = P * (1 - Q) - (Q * P - Q * P * Q) :=
calc
P * (1 - Q) = (1 - Q) * P * (1 - Q) := by rw [PR_eq_RPR (1 - Q) h₂.Lcomplement]
_ = P * (1 - Q) - (Q * P - Q * P * Q) := by noncomm_ring
rwa [eq_sub_iff_add_eq, add_eq_left, sub_eq_zero] at e1
show P * Q = Q * P
rw [QP_eq_QPQ, PR_eq_RPR Q h₂]
theorem mul [FaithfulSMul M X] {P Q : M} (h₁ : IsLprojection X P) (h₂ : IsLprojection X Q) :
IsLprojection X (P * Q) := by
refine ⟨IsIdempotentElem.mul_of_commute (h₁.commute h₂) h₁.proj h₂.proj, ?_⟩
intro x
refine le_antisymm ?_ ?_
· calc
‖x‖ = ‖(P * Q) • x + (x - (P * Q) • x)‖ := by rw [add_sub_cancel ((P * Q) • x) x]
_ ≤ ‖(P * Q) • x‖ + ‖x - (P * Q) • x‖ := by apply norm_add_le
_ = ‖(P * Q) • x‖ + ‖(1 - P * Q) • x‖ := by rw [sub_smul, one_smul]
· calc
‖x‖ = ‖P • Q • x‖ + (‖Q • x - P • Q • x‖ + ‖x - Q • x‖) := by
rw [h₂.Lnorm x, h₁.Lnorm (Q • x), sub_smul, one_smul, sub_smul, one_smul, add_assoc]
_ ≥ ‖P • Q • x‖ + ‖Q • x - P • Q • x + (x - Q • x)‖ :=
((add_le_add_iff_left ‖P • Q • x‖).mpr (norm_add_le (Q • x - P • Q • x) (x - Q • x)))
_ = ‖(P * Q) • x‖ + ‖(1 - P * Q) • x‖ := by
rw [sub_add_sub_cancel', sub_smul, one_smul, mul_smul]
theorem join [FaithfulSMul M X] {P Q : M} (h₁ : IsLprojection X P) (h₂ : IsLprojection X Q) :
IsLprojection X (P + Q - P * Q) := by
convert (Lcomplement_iff _).mp (h₁.Lcomplement.mul h₂.Lcomplement) using 1
noncomm_ring
instance Subtype.hasCompl : HasCompl { f : M // IsLprojection X f } :=
⟨fun P => ⟨1 - P, P.prop.Lcomplement⟩⟩
@[simp]
theorem coe_compl (P : { P : M // IsLprojection X P }) : ↑Pᶜ = (1 : M) - ↑P :=
rfl
instance Subtype.inf [FaithfulSMul M X] : Min { P : M // IsLprojection X P } :=
⟨fun P Q => ⟨P * Q, P.prop.mul Q.prop⟩⟩
@[simp]
theorem coe_inf [FaithfulSMul M X] (P Q : { P : M // IsLprojection X P }) :
↑(P ⊓ Q) = (↑P : M) * ↑Q :=
rfl
instance Subtype.sup [FaithfulSMul M X] : Max { P : M // IsLprojection X P } :=
⟨fun P Q => ⟨P + Q - P * Q, P.prop.join Q.prop⟩⟩
@[simp]
theorem coe_sup [FaithfulSMul M X] (P Q : { P : M // IsLprojection X P }) :
↑(P ⊔ Q) = (↑P : M) + ↑Q - ↑P * ↑Q :=
rfl
instance Subtype.sdiff [FaithfulSMul M X] : SDiff { P : M // IsLprojection X P } :=
⟨fun P Q => ⟨P * (1 - Q), P.prop.mul Q.prop.Lcomplement⟩⟩
@[simp]
theorem coe_sdiff [FaithfulSMul M X] (P Q : { P : M // IsLprojection X P }) :
↑(P \ Q) = (↑P : M) * (1 - ↑Q) :=
rfl
instance Subtype.partialOrder [FaithfulSMul M X] :
PartialOrder { P : M // IsLprojection X P } where
le P Q := (↑P : M) = ↑(P ⊓ Q)
le_refl P := by simpa only [coe_inf, ← sq] using P.prop.proj.eq.symm
le_trans P Q R h₁ h₂ := by
simp only [coe_inf] at h₁ h₂ ⊢
rw [h₁, mul_assoc, ← h₂]
le_antisymm P Q h₁ h₂ := Subtype.eq (by convert (P.prop.commute Q.prop).eq)
theorem le_def [FaithfulSMul M X] (P Q : { P : M // IsLprojection X P }) :
P ≤ Q ↔ (P : M) = ↑(P ⊓ Q) :=
Iff.rfl
instance Subtype.zero : Zero { P : M // IsLprojection X P } :=
⟨⟨0, ⟨by rw [IsIdempotentElem, zero_mul], fun x => by
simp only [zero_smul, norm_zero, sub_zero, one_smul, zero_add]⟩⟩⟩
@[simp]
theorem coe_zero : ↑(0 : { P : M // IsLprojection X P }) = (0 : M) :=
rfl
instance Subtype.one : One { P : M // IsLprojection X P } :=
⟨⟨1, sub_zero (1 : M) ▸ (0 : { P : M // IsLprojection X P }).prop.Lcomplement⟩⟩
@[simp]
theorem coe_one : ↑(1 : { P : M // IsLprojection X P }) = (1 : M) :=
rfl
instance Subtype.boundedOrder [FaithfulSMul M X] :
BoundedOrder { P : M // IsLprojection X P } where
top := 1
le_top P := (mul_one (P : M)).symm
bot := 0
bot_le P := (zero_mul (P : M)).symm
@[simp]
theorem coe_bot [FaithfulSMul M X] :
↑(BoundedOrder.toOrderBot.toBot.bot : { P : M // IsLprojection X P }) = (0 : M) :=
rfl
@[simp]
theorem coe_top [FaithfulSMul M X] :
↑(BoundedOrder.toOrderTop.toTop.top : { P : M // IsLprojection X P }) = (1 : M) :=
rfl
theorem compl_mul {P : { P : M // IsLprojection X P }} {Q : M} : ↑Pᶜ * Q = Q - ↑P * Q := by
rw [coe_compl, sub_mul, one_mul]
theorem mul_compl_self {P : { P : M // IsLprojection X P }} : (↑P : M) * ↑Pᶜ = 0 := by
rw [coe_compl, P.prop.proj.mul_one_sub_self]
theorem distrib_lattice_lemma [FaithfulSMul M X] {P Q R : { P : M // IsLprojection X P }} :
((↑P : M) + ↑Pᶜ * R) * (↑P + ↑Q * ↑R * ↑Pᶜ) = ↑P + ↑Q * ↑R * ↑Pᶜ := by
rw [add_mul, mul_add, mul_add, (mul_assoc _ (R : M) (↑Q * ↑R * ↑Pᶜ)),
← mul_assoc (R : M) (↑Q * ↑R) _, ← coe_inf Q, (Pᶜ.prop.commute R.prop).eq,
((Q ⊓ R).prop.commute Pᶜ.prop).eq, (R.prop.commute (Q ⊓ R).prop).eq, coe_inf Q,
mul_assoc (Q : M), ← mul_assoc, mul_assoc (R : M), (Pᶜ.prop.commute P.prop).eq, mul_compl_self,
zero_mul, mul_zero, zero_add, add_zero, ← mul_assoc, P.prop.proj.eq,
R.prop.proj.eq, ← coe_inf Q, mul_assoc, ((Q ⊓ R).prop.commute Pᶜ.prop).eq, ← mul_assoc,
Pᶜ.prop.proj.eq]
-- Porting note: In mathlib3 we were able to directly show that `{ P : M // IsLprojection X P }` was
-- an instance of a `DistribLattice`. Trying to do that in mathlib4 fails with "error:
-- (deterministic) timeout at 'whnf', maximum number of heartbeats (800000) has been reached"
-- My workaround is to show instance Lattice first
instance [FaithfulSMul M X] : Lattice { P : M // IsLprojection X P } where
sup := max
inf := min
le_sup_left P Q := by
rw [le_def, coe_inf, coe_sup, ← add_sub, mul_add, mul_sub, ← mul_assoc, P.prop.proj.eq,
sub_self, add_zero]
le_sup_right P Q := by
rw [le_def, coe_inf, coe_sup, ← add_sub, mul_add, mul_sub, (P.prop.commute Q.prop).eq,
← mul_assoc, Q.prop.proj.eq, add_sub_cancel]
sup_le P Q R := by
rw [le_def, le_def, le_def, coe_inf, coe_inf, coe_sup, coe_inf, coe_sup, ← add_sub, add_mul,
sub_mul, mul_assoc]
intro h₁ h₂
| rw [← h₂, ← h₁]
inf_le_left P Q := by
rw [le_def, coe_inf, coe_inf, coe_inf, mul_assoc, (Q.prop.commute P.prop).eq, ← mul_assoc,
P.prop.proj.eq]
inf_le_right P Q := by rw [le_def, coe_inf, coe_inf, coe_inf, mul_assoc, Q.prop.proj.eq]
le_inf P Q R := by
rw [le_def, le_def, le_def, coe_inf, coe_inf, coe_inf, coe_inf, ← mul_assoc]
intro h₁ h₂
rw [← h₁, ← h₂]
| Mathlib/Analysis/NormedSpace/MStructure.lean | 267 | 275 |
/-
Copyright (c) 2022 Heather Macbeth. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Heather Macbeth
-/
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.FiniteDimensional
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
/-!
# Oriented two-dimensional real inner product spaces
This file defines constructions specific to the geometry of an oriented two-dimensional real inner
product space `E`.
## Main declarations
* `Orientation.areaForm`: an antisymmetric bilinear form `E →ₗ[ℝ] E →ₗ[ℝ] ℝ` (usual notation `ω`).
Morally, when `ω` is evaluated on two vectors, it gives the oriented area of the parallelogram
they span. (But mathlib does not yet have a construction of oriented area, and in fact the
construction of oriented area should pass through `ω`.)
* `Orientation.rightAngleRotation`: an isometric automorphism `E ≃ₗᵢ[ℝ] E` (usual notation `J`).
This automorphism squares to -1. In a later file, rotations (`Orientation.rotation`) are defined,
in such a way that this automorphism is equal to rotation by 90 degrees.
* `Orientation.basisRightAngleRotation`: for a nonzero vector `x` in `E`, the basis `![x, J x]`
for `E`.
* `Orientation.kahler`: a complex-valued real-bilinear map `E →ₗ[ℝ] E →ₗ[ℝ] ℂ`. Its real part is the
inner product and its imaginary part is `Orientation.areaForm`. For vectors `x` and `y` in `E`,
the complex number `o.kahler x y` has modulus `‖x‖ * ‖y‖`. In a later file, oriented angles
(`Orientation.oangle`) are defined, in such a way that the argument of `o.kahler x y` is the
oriented angle from `x` to `y`.
## Main results
* `Orientation.rightAngleRotation_rightAngleRotation`: the identity `J (J x) = - x`
* `Orientation.nonneg_inner_and_areaForm_eq_zero_iff_sameRay`: `x`, `y` are in the same ray, if
and only if `0 ≤ ⟪x, y⟫` and `ω x y = 0`
* `Orientation.kahler_mul`: the identity `o.kahler x a * o.kahler a y = ‖a‖ ^ 2 * o.kahler x y`
* `Complex.areaForm`, `Complex.rightAngleRotation`, `Complex.kahler`: the concrete
interpretations of `areaForm`, `rightAngleRotation`, `kahler` for the oriented real inner
product space `ℂ`
* `Orientation.areaForm_map_complex`, `Orientation.rightAngleRotation_map_complex`,
`Orientation.kahler_map_complex`: given an orientation-preserving isometry from `E` to `ℂ`,
expressions for `areaForm`, `rightAngleRotation`, `kahler` as the pullback of their concrete
interpretations on `ℂ`
## Implementation notes
Notation `ω` for `Orientation.areaForm` and `J` for `Orientation.rightAngleRotation` should be
defined locally in each file which uses them, since otherwise one would need a more cumbersome
notation which mentions the orientation explicitly (something like `ω[o]`). Write
```
local notation "ω" => o.areaForm
local notation "J" => o.rightAngleRotation
```
-/
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open Module
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
/-- An antisymmetric bilinear form on an oriented real inner product space of dimension 2 (usual
notation `ω`). When evaluated on two vectors, it gives the oriented area of the parallelogram they
span. -/
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
theorem areaForm_swap (x y : E) : ω x y = -ω y x := by
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
@[simp]
theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by
ext x y
simp [areaForm_to_volumeForm]
/-- Continuous linear map version of `Orientation.areaForm`, useful for calculus. -/
def areaForm' : E →L[ℝ] E →L[ℝ] ℝ :=
LinearMap.toContinuousLinearMap
(↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm)
@[simp]
theorem areaForm'_apply (x : E) :
o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) :=
rfl
theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y]
theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y]
theorem abs_areaForm_of_orthogonal {x y : E} (h : ⟪x, y⟫ = 0) : |ω x y| = ‖x‖ * ‖y‖ := by
rw [o.areaForm_to_volumeForm, o.abs_volumeForm_apply_of_pairwise_orthogonal]
· simp [Fin.prod_univ_succ]
intro i j hij
fin_cases i <;> fin_cases j
· simp_all
· simpa using h
· simpa [real_inner_comm] using h
· simp_all
theorem areaForm_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x y : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).areaForm x y =
o.areaForm (φ.symm x) (φ.symm y) := by
have : φ.symm ∘ ![x, y] = ![φ.symm x, φ.symm y] := by
ext i
fin_cases i <;> rfl
simp [areaForm_to_volumeForm, volumeForm_map, this]
/-- The area form is invariant under pullback by a positively-oriented isometric automorphism. -/
theorem areaForm_comp_linearIsometryEquiv (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x y : E) :
o.areaForm (φ x) (φ y) = o.areaForm x y := by
convert o.areaForm_map φ (φ x) (φ y)
· symm
rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ
rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin]
· simp
· simp
/-- Auxiliary construction for `Orientation.rightAngleRotation`, rotation by 90 degrees in an
oriented real inner product space of dimension 2. -/
irreducible_def rightAngleRotationAux₁ : E →ₗ[ℝ] E :=
let to_dual : E ≃ₗ[ℝ] E →ₗ[ℝ] ℝ :=
(InnerProductSpace.toDual ℝ E).toLinearEquiv ≪≫ₗ LinearMap.toContinuousLinearMap.symm
↑to_dual.symm ∘ₗ ω
@[simp]
theorem inner_rightAngleRotationAux₁_left (x y : E) : ⟪o.rightAngleRotationAux₁ x, y⟫ = ω x y := by
simp only [rightAngleRotationAux₁, LinearEquiv.trans_symm, LinearIsometryEquiv.toLinearEquiv_symm,
LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.trans_apply,
LinearIsometryEquiv.coe_toLinearEquiv]
rw [InnerProductSpace.toDual_symm_apply]
norm_cast
@[simp]
theorem inner_rightAngleRotationAux₁_right (x y : E) :
⟪x, o.rightAngleRotationAux₁ y⟫ = -ω x y := by
rw [real_inner_comm]
simp [o.areaForm_swap y x]
/-- Auxiliary construction for `Orientation.rightAngleRotation`, rotation by 90 degrees in an
oriented real inner product space of dimension 2. -/
def rightAngleRotationAux₂ : E →ₗᵢ[ℝ] E :=
{ o.rightAngleRotationAux₁ with
norm_map' := fun x => by
refine le_antisymm ?_ ?_
· rcases eq_or_lt_of_le (norm_nonneg (o.rightAngleRotationAux₁ x)) with h | h
· rw [← h]
positivity
refine le_of_mul_le_mul_right ?_ h
rw [← real_inner_self_eq_norm_mul_norm, o.inner_rightAngleRotationAux₁_left]
exact o.areaForm_le x (o.rightAngleRotationAux₁ x)
· let K : Submodule ℝ E := ℝ ∙ x
have : Nontrivial Kᗮ := by
apply nontrivial_of_finrank_pos (R := ℝ)
have : finrank ℝ K ≤ Finset.card {x} := by
rw [← Set.toFinset_singleton]
exact finrank_span_le_card ({x} : Set E)
have : Finset.card {x} = 1 := Finset.card_singleton x
have : finrank ℝ K + finrank ℝ Kᗮ = finrank ℝ E := K.finrank_add_finrank_orthogonal
have : finrank ℝ E = 2 := Fact.out
omega
obtain ⟨w, hw₀⟩ : ∃ w : Kᗮ, w ≠ 0 := exists_ne 0
have hw' : ⟪x, (w : E)⟫ = 0 := Submodule.mem_orthogonal_singleton_iff_inner_right.mp w.2
have hw : (w : E) ≠ 0 := fun h => hw₀ (Submodule.coe_eq_zero.mp h)
refine le_of_mul_le_mul_right ?_ (by rwa [norm_pos_iff] : 0 < ‖(w : E)‖)
rw [← o.abs_areaForm_of_orthogonal hw']
rw [← o.inner_rightAngleRotationAux₁_left x w]
exact abs_real_inner_le_norm (o.rightAngleRotationAux₁ x) w }
@[simp]
theorem rightAngleRotationAux₁_rightAngleRotationAux₁ (x : E) :
o.rightAngleRotationAux₁ (o.rightAngleRotationAux₁ x) = -x := by
apply ext_inner_left ℝ
intro y
have : ⟪o.rightAngleRotationAux₁ y, o.rightAngleRotationAux₁ x⟫ = ⟪y, x⟫ :=
LinearIsometry.inner_map_map o.rightAngleRotationAux₂ y x
rw [o.inner_rightAngleRotationAux₁_right, ← o.inner_rightAngleRotationAux₁_left, this,
inner_neg_right]
/-- An isometric automorphism of an oriented real inner product space of dimension 2 (usual notation
`J`). This automorphism squares to -1. We will define rotations in such a way that this
automorphism is equal to rotation by 90 degrees. -/
irreducible_def rightAngleRotation : E ≃ₗᵢ[ℝ] E :=
LinearIsometryEquiv.ofLinearIsometry o.rightAngleRotationAux₂ (-o.rightAngleRotationAux₁)
(by ext; simp [rightAngleRotationAux₂]) (by ext; simp [rightAngleRotationAux₂])
local notation "J" => o.rightAngleRotation
@[simp]
theorem inner_rightAngleRotation_left (x y : E) : ⟪J x, y⟫ = ω x y := by
rw [rightAngleRotation]
exact o.inner_rightAngleRotationAux₁_left x y
@[simp]
theorem inner_rightAngleRotation_right (x y : E) : ⟪x, J y⟫ = -ω x y := by
rw [rightAngleRotation]
exact o.inner_rightAngleRotationAux₁_right x y
@[simp]
theorem rightAngleRotation_rightAngleRotation (x : E) : J (J x) = -x := by
rw [rightAngleRotation]
exact o.rightAngleRotationAux₁_rightAngleRotationAux₁ x
@[simp]
theorem rightAngleRotation_symm :
LinearIsometryEquiv.symm J = LinearIsometryEquiv.trans J (LinearIsometryEquiv.neg ℝ) := by
rw [rightAngleRotation]
exact LinearIsometryEquiv.toLinearIsometry_injective rfl
theorem inner_rightAngleRotation_self (x : E) : ⟪J x, x⟫ = 0 := by simp
theorem inner_rightAngleRotation_swap (x y : E) : ⟪x, J y⟫ = -⟪J x, y⟫ := by simp
theorem inner_rightAngleRotation_swap' (x y : E) : ⟪J x, y⟫ = -⟪x, J y⟫ := by
simp [o.inner_rightAngleRotation_swap x y]
theorem inner_comp_rightAngleRotation (x y : E) : ⟪J x, J y⟫ = ⟪x, y⟫ :=
LinearIsometryEquiv.inner_map_map J x y
@[simp]
theorem areaForm_rightAngleRotation_left (x y : E) : ω (J x) y = -⟪x, y⟫ := by
rw [← o.inner_comp_rightAngleRotation, o.inner_rightAngleRotation_right, neg_neg]
@[simp]
theorem areaForm_rightAngleRotation_right (x y : E) : ω x (J y) = ⟪x, y⟫ := by
rw [← o.inner_rightAngleRotation_left, o.inner_comp_rightAngleRotation]
theorem areaForm_comp_rightAngleRotation (x y : E) : ω (J x) (J y) = ω x y := by simp
@[simp]
theorem rightAngleRotation_trans_rightAngleRotation :
LinearIsometryEquiv.trans J J = LinearIsometryEquiv.neg ℝ := by ext; simp
theorem rightAngleRotation_neg_orientation (x : E) :
(-o).rightAngleRotation x = -o.rightAngleRotation x := by
apply ext_inner_right ℝ
intro y
rw [inner_rightAngleRotation_left]
simp
@[simp]
theorem rightAngleRotation_trans_neg_orientation :
(-o).rightAngleRotation = o.rightAngleRotation.trans (LinearIsometryEquiv.neg ℝ) :=
LinearIsometryEquiv.ext <| o.rightAngleRotation_neg_orientation
theorem rightAngleRotation_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
| [hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).rightAngleRotation x =
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 294 | 295 |
/-
Copyright (c) 2017 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Data.WSeq.Relation
/-!
# Parallel computation
Parallel computation of a computable sequence of computations by
a diagonal enumeration.
The important theorems of this operation are proven as
terminates_parallel and exists_of_mem_parallel.
(This operation is nondeterministic in the sense that it does not
honor sequence equivalence (irrelevance of computation time).)
-/
universe u v
namespace Computation
open Stream'
variable {α : Type u} {β : Type v}
private def parallel.aux2 : List (Computation α) → α ⊕ (List (Computation α)) :=
List.foldr
(fun c o =>
match o with
| Sum.inl a => Sum.inl a
| Sum.inr ls => rmap (fun c' => c' :: ls) (destruct c))
(Sum.inr [])
private def parallel.aux1 :
List (Computation α) × WSeq (Computation α) →
α ⊕ (List (Computation α) × WSeq (Computation α))
| (l, S) =>
rmap
(fun l' =>
match Seq.destruct S with
| none => (l', Seq.nil)
| some (none, S') => (l', S')
| some (some c, S') => (c :: l', S'))
(parallel.aux2 l)
/-- Parallel computation of an infinite stream of computations,
taking the first result -/
def parallel (S : WSeq (Computation α)) : Computation α :=
corec parallel.aux1 ([], S)
theorem terminates_parallel.aux :
∀ {l : List (Computation α)} {S c},
c ∈ l → Terminates c → Terminates (corec parallel.aux1 (l, S)) := by
have lem1 :
∀ l S, (∃ a : α, parallel.aux2 l = Sum.inl a) → Terminates (corec parallel.aux1 (l, S)) := by
intro l S e
obtain ⟨a, e⟩ := e
have : corec parallel.aux1 (l, S) = return a := by
apply destruct_eq_pure
simp only [parallel.aux1, rmap, corec_eq]
rw [e]
rw [this]
exact ret_terminates a
intro l S c m T
revert l S
apply @terminatesRecOn _ _ c T _ _
· intro a l S m
apply lem1
induction' l with c l IH <;> simp at m
rcases m with e | m
· rw [← e]
simp only [parallel.aux2, rmap, List.foldr_cons, destruct_pure]
split <;> simp
· obtain ⟨a', e⟩ := IH m
simp only [parallel.aux2, rmap, List.foldr_cons]
simp? [parallel.aux2] at e says simp only [parallel.aux2, rmap] at e
rw [e]
exact ⟨a', rfl⟩
· intro s IH l S m
have H1 : ∀ l', parallel.aux2 l = Sum.inr l' → s ∈ l' := by
induction' l with c l IH' <;> intro l' e' <;> simp at m
rcases m with e | m <;> simp [parallel.aux2] at e'
· rw [← e] at e'
-- Porting note: `revert e'` is required.
revert e'
split
· simp
· simp only [destruct_think, Sum.inr.injEq]
rintro rfl
simp
· induction' e : List.foldr (fun c o =>
match o with
| Sum.inl a => Sum.inl a
| Sum.inr ls => rmap (fun c' => c' :: ls) (destruct c))
(Sum.inr List.nil) l with a' ls <;> erw [e] at e'
· contradiction
have := IH' m _ e
-- Porting note: `revert e'` & `intro e'` are required.
revert e'
cases destruct c <;> intro e' <;> [injection e'; injection e' with h']
rw [← h']
simp [this]
induction' h : parallel.aux2 l with a l'
· exact lem1 _ _ ⟨a, h⟩
· have H2 : corec parallel.aux1 (l, S) = think _ := destruct_eq_think (by
simp only [parallel.aux1, rmap, corec_eq]
rw [h])
rw [H2]
refine @Computation.think_terminates _ _ ?_
have := H1 _ h
rcases Seq.destruct S with (_ | ⟨_ | c, S'⟩) <;> simp [parallel.aux1] <;> apply IH <;>
simp [this]
theorem terminates_parallel {S : WSeq (Computation α)} {c} (h : c ∈ S) [T : Terminates c] :
Terminates (parallel S) := by
suffices
∀ (n) (l : List (Computation α)) (S c),
c ∈ l ∨ some (some c) = Seq.get? S n → Terminates c → Terminates (corec parallel.aux1 (l, S))
from
let ⟨n, h⟩ := h
this n [] S c (Or.inr h) T
intro n; induction' n with n IH <;> intro l S c o T
· rcases o with a | a
· exact terminates_parallel.aux a T
have H : Seq.destruct S = some (some c, Seq.tail S) := by simp [Seq.destruct, (· <$> ·), ← a]
induction' h : parallel.aux2 l with a l'
· have C : corec parallel.aux1 (l, S) = pure a := by
apply destruct_eq_pure
rw [corec_eq, parallel.aux1]
rw [h]
simp only [rmap]
rw [C]
infer_instance
· have C : corec parallel.aux1 (l, S) = _ := destruct_eq_think (by
simp only [corec_eq, rmap, parallel.aux1.eq_1]
rw [h, H])
rw [C]
refine @Computation.think_terminates _ _ ?_
apply terminates_parallel.aux _ T
simp
· rcases o with a | a
· exact terminates_parallel.aux a T
induction' h : parallel.aux2 l with a l'
· have C : corec parallel.aux1 (l, S) = pure a := by
apply destruct_eq_pure
rw [corec_eq, parallel.aux1]
rw [h]
simp only [rmap]
rw [C]
infer_instance
· have C : corec parallel.aux1 (l, S) = _ := destruct_eq_think (by
simp only [corec_eq, rmap, parallel.aux1.eq_1]
rw [h])
rw [C]
refine @Computation.think_terminates _ _ ?_
have TT : ∀ l', Terminates (corec parallel.aux1 (l', S.tail)) := by
intro
apply IH _ _ _ (Or.inr _) T
rw [a, Seq.get?_tail]
induction' e : Seq.get? S 0 with o
· have D : Seq.destruct S = none := by
dsimp [Seq.destruct]
rw [e]
rfl
rw [D]
simp only
have TT := TT l'
rwa [Seq.destruct_eq_none D, Seq.tail_nil] at TT
· have D : Seq.destruct S = some (o, S.tail) := by
dsimp [Seq.destruct]
rw [e]
rfl
rw [D]
cases o <;> simp [parallel.aux1, TT]
theorem exists_of_mem_parallel {S : WSeq (Computation α)} {a} (h : a ∈ parallel S) :
∃ c ∈ S, a ∈ c := by
suffices
∀ C, a ∈ C → ∀ (l : List (Computation α)) (S),
corec parallel.aux1 (l, S) = C → ∃ c, (c ∈ l ∨ c ∈ S) ∧ a ∈ c from
let ⟨c, h1, h2⟩ := this _ h [] S rfl
⟨c, h1.resolve_left <| List.not_mem_nil, h2⟩
let F : List (Computation α) → α ⊕ (List (Computation α)) → Prop := by
intro l a
rcases a with a | l'
· exact ∃ c ∈ l, a ∈ c
· exact ∀ a', (∃ c ∈ l', a' ∈ c) → ∃ c ∈ l, a' ∈ c
have lem1 : ∀ l : List (Computation α), F l (parallel.aux2 l) := by
intro l
induction' l with c l IH <;> simp only [parallel.aux2, List.foldr]
· intro a h
rcases h with ⟨c, hn, _⟩
exact False.elim <| List.not_mem_nil hn
· simp only [parallel.aux2] at IH
-- Porting note: `revert IH` & `intro IH` are required.
revert IH
cases List.foldr (fun c o =>
match o with
| Sum.inl a => Sum.inl a
| Sum.inr ls => rmap (fun c' => c' :: ls) (destruct c)) (Sum.inr List.nil) l <;>
intro IH <;> simp only [parallel.aux2]
· rcases IH with ⟨c', cl, ac⟩
exact ⟨c', List.Mem.tail _ cl, ac⟩
· induction' h : destruct c with a c' <;> simp only [rmap]
· refine ⟨c, List.mem_cons_self, ?_⟩
rw [destruct_eq_pure h]
apply ret_mem
· intro a' h
rcases h with ⟨d, dm, ad⟩
simp? at dm says simp only [List.mem_cons] at dm
rcases dm with e | dl
· rw [e] at ad
refine ⟨c, List.mem_cons_self, ?_⟩
rw [destruct_eq_think h]
exact think_mem ad
· obtain ⟨d, dm⟩ := IH a' ⟨d, dl, ad⟩
obtain ⟨dm, ad⟩ := dm
exact ⟨d, List.Mem.tail _ dm, ad⟩
intro C aC
-- Porting note: `revert this e'` & `intro this e'` are required.
apply memRecOn aC <;> [skip; intro C' IH] <;> intro l S e <;> have e' := congr_arg destruct e <;>
have := lem1 l <;> simp only [parallel.aux1, corec_eq, destruct_pure, destruct_think] at e' <;>
revert this e' <;> rcases parallel.aux2 l with a' | l' <;> intro this e' <;>
[injection e' with h'; injection e'; injection e'; injection e' with h']
· rw [h'] at this
rcases this with ⟨c, cl, ac⟩
exact ⟨c, Or.inl cl, ac⟩
· induction' e : Seq.destruct S with a <;> rw [e] at h'
· exact
let ⟨d, o, ad⟩ := IH _ _ h'
let ⟨c, cl, ac⟩ := this a ⟨d, o.resolve_right (WSeq.not_mem_nil _), ad⟩
⟨c, Or.inl cl, ac⟩
· obtain ⟨o, S'⟩ := a
obtain - | c := o <;> simp [parallel.aux1] at h' <;> rcases IH _ _ h' with ⟨d, dl | dS', ad⟩
· exact
let ⟨c, cl, ac⟩ := this a ⟨d, dl, ad⟩
⟨c, Or.inl cl, ac⟩
· refine ⟨d, Or.inr ?_, ad⟩
rw [Seq.destruct_eq_cons e]
exact Seq.mem_cons_of_mem _ dS'
· simp at dl
rcases dl with dc | dl
· rw [dc] at ad
refine ⟨c, Or.inr ?_, ad⟩
rw [Seq.destruct_eq_cons e]
apply Seq.mem_cons
· exact
let ⟨c, cl, ac⟩ := this a ⟨d, dl, ad⟩
⟨c, Or.inl cl, ac⟩
· refine ⟨d, Or.inr ?_, ad⟩
rw [Seq.destruct_eq_cons e]
exact Seq.mem_cons_of_mem _ dS'
theorem map_parallel (f : α → β) (S) : map f (parallel S) = parallel (S.map (map f)) := by
refine
eq_of_bisim
(fun c1 c2 =>
∃ l S,
c1 = map f (corec parallel.aux1 (l, S)) ∧
c2 = corec parallel.aux1 (l.map (map f), S.map (map f)))
?_ ⟨[], S, rfl, rfl⟩
intro c1 c2 h
exact
match c1, c2, h with
| _, _, ⟨l, S, rfl, rfl⟩ => by
have : parallel.aux2 (l.map (map f))
= lmap f (rmap (List.map (map f)) (parallel.aux2 l)) := by
simp only [parallel.aux2, rmap, lmap]
induction' l with c l IH <;> simp
rw [IH]
cases List.foldr _ _ _
· simp
· cases destruct c <;> simp
simp only [BisimO, destruct_map, lmap, rmap, corec_eq, parallel.aux1.eq_1]
rw [this]
rcases parallel.aux2 l with a | l' <;> simp
induction' S using WSeq.recOn with c S S <;> simp <;>
exact ⟨_, _, rfl, rfl⟩
theorem parallel_empty (S : WSeq (Computation α)) (h : S.head ~> none) : parallel S = empty _ :=
eq_empty_of_not_terminates fun ⟨⟨a, m⟩⟩ => by
let ⟨c, cs, _⟩ := exists_of_mem_parallel m
let ⟨n, nm⟩ := WSeq.exists_get?_of_mem cs
let ⟨c', h'⟩ := WSeq.head_some_of_get?_some nm
injection h h'
/-- Induction principle for parallel computations.
The reason this isn't trivial from `exists_of_mem_parallel` is because it eliminates to `Sort`. -/
def parallelRec {S : WSeq (Computation α)} (C : α → Sort v) (H : ∀ s ∈ S, ∀ a ∈ s, C a) {a}
(h : a ∈ parallel S) : C a := by
let T : WSeq (Computation (α × Computation α)) := S.map fun c => c.map fun a => (a, c)
have : S = T.map (map fun c => c.1) := by
rw [← WSeq.map_comp]
refine (WSeq.map_id _).symm.trans (congr_arg (fun f => WSeq.map f S) ?_)
funext c
| dsimp [id, Function.comp_def]
rw [← map_comp]
exact (map_id _).symm
have pe := congr_arg parallel this
rw [← map_parallel] at pe
have h' := h
| Mathlib/Data/Seq/Parallel.lean | 296 | 301 |
/-
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.MeasureTheory.Measure.Haar.Basic
import Mathlib.Analysis.InnerProductSpace.PiL2
/-!
# Additive Haar measure constructed from a basis
Given a basis of a finite-dimensional real vector space, we define the corresponding Lebesgue
measure, which gives measure `1` to the parallelepiped spanned by the basis.
## Main definitions
* `parallelepiped v` is the parallelepiped spanned by a finite family of vectors.
* `Basis.parallelepiped` is the parallelepiped associated to a basis, seen as a compact set with
nonempty interior.
* `Basis.addHaar` is the Lebesgue measure associated to a basis, giving measure `1` to the
corresponding parallelepiped.
In particular, we declare a `MeasureSpace` instance on any finite-dimensional inner product space,
by using the Lebesgue measure associated to some orthonormal basis (which is in fact independent
of the basis).
-/
open Set TopologicalSpace MeasureTheory MeasureTheory.Measure Module
open scoped Pointwise
noncomputable section
variable {ι ι' E F : Type*}
section Fintype
variable [Fintype ι] [Fintype ι']
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E] [AddCommGroup F] [Module ℝ F]
/-- The closed parallelepiped spanned by a finite family of vectors. -/
def parallelepiped (v : ι → E) : Set E :=
(fun t : ι → ℝ => ∑ i, t i • v i) '' Icc 0 1
theorem mem_parallelepiped_iff (v : ι → E) (x : E) :
x ∈ parallelepiped v ↔ ∃ t ∈ Icc (0 : ι → ℝ) 1, x = ∑ i, t i • v i := by
simp [parallelepiped, eq_comm]
theorem parallelepiped_basis_eq (b : Basis ι ℝ E) :
parallelepiped b = {x | ∀ i, b.repr x i ∈ Set.Icc 0 1} := by
classical
ext x
simp_rw [mem_parallelepiped_iff, mem_setOf_eq, b.ext_elem_iff, _root_.map_sum,
map_smul, Finset.sum_apply', Basis.repr_self, Finsupp.smul_single, smul_eq_mul,
mul_one, Finsupp.single_apply, Finset.sum_ite_eq', Finset.mem_univ, ite_true, mem_Icc,
Pi.le_def, Pi.zero_apply, Pi.one_apply, ← forall_and]
aesop
theorem image_parallelepiped (f : E →ₗ[ℝ] F) (v : ι → E) :
f '' parallelepiped v = parallelepiped (f ∘ v) := by
simp only [parallelepiped, ← image_comp]
congr 1 with t
simp only [Function.comp_apply, _root_.map_sum, LinearMap.map_smulₛₗ, RingHom.id_apply]
/-- Reindexing a family of vectors does not change their parallelepiped. -/
@[simp]
theorem parallelepiped_comp_equiv (v : ι → E) (e : ι' ≃ ι) :
parallelepiped (v ∘ e) = parallelepiped v := by
simp only [parallelepiped]
let K : (ι' → ℝ) ≃ (ι → ℝ) := Equiv.piCongrLeft' (fun _a : ι' => ℝ) e
have : Icc (0 : ι → ℝ) 1 = K '' Icc (0 : ι' → ℝ) 1 := by
rw [← Equiv.preimage_eq_iff_eq_image]
ext x
simp only [K, mem_preimage, mem_Icc, Pi.le_def, Pi.zero_apply, Equiv.piCongrLeft'_apply,
Pi.one_apply]
refine
⟨fun h => ⟨fun i => ?_, fun i => ?_⟩, fun h =>
⟨fun i => h.1 (e.symm i), fun i => h.2 (e.symm i)⟩⟩
· simpa only [Equiv.symm_apply_apply] using h.1 (e i)
· simpa only [Equiv.symm_apply_apply] using h.2 (e i)
rw [this, ← image_comp]
congr 1 with x
have := fun z : ι' → ℝ => e.symm.sum_comp fun i => z i • v (e i)
simp_rw [Equiv.apply_symm_apply] at this
simp_rw [Function.comp_apply, mem_image, mem_Icc, K, Equiv.piCongrLeft'_apply, this]
-- The parallelepiped associated to an orthonormal basis of `ℝ` is either `[0, 1]` or `[-1, 0]`.
theorem parallelepiped_orthonormalBasis_one_dim (b : OrthonormalBasis ι ℝ ℝ) :
parallelepiped b = Icc 0 1 ∨ parallelepiped b = Icc (-1) 0 := by
have e : ι ≃ Fin 1 := by
apply Fintype.equivFinOfCardEq
simp only [← finrank_eq_card_basis b.toBasis, finrank_self]
have B : parallelepiped (b.reindex e) = parallelepiped b := by
convert parallelepiped_comp_equiv b e.symm
ext i
simp only [OrthonormalBasis.coe_reindex]
rw [← B]
let F : ℝ → Fin 1 → ℝ := fun t => fun _i => t
have A : Icc (0 : Fin 1 → ℝ) 1 = F '' Icc (0 : ℝ) 1 := by
apply Subset.antisymm
· intro x hx
refine ⟨x 0, ⟨hx.1 0, hx.2 0⟩, ?_⟩
ext j
simp only [F, Subsingleton.elim j 0]
· rintro x ⟨y, hy, rfl⟩
exact ⟨fun _j => hy.1, fun _j => hy.2⟩
rcases orthonormalBasis_one_dim (b.reindex e) with (H | H)
· left
simp_rw [parallelepiped, H, A, Algebra.id.smul_eq_mul, mul_one]
simp only [F, Finset.univ_unique, Fin.default_eq_zero, Finset.sum_singleton,
← image_comp, Function.comp_apply, image_id']
· right
simp_rw [H, parallelepiped, Algebra.id.smul_eq_mul, A]
simp only [F, Finset.univ_unique, Fin.default_eq_zero, mul_neg, mul_one, Finset.sum_neg_distrib,
Finset.sum_singleton, ← image_comp, Function.comp, image_neg_eq_neg, neg_Icc, neg_zero]
theorem parallelepiped_eq_sum_segment (v : ι → E) : parallelepiped v = ∑ i, segment ℝ 0 (v i) := by
ext
simp only [mem_parallelepiped_iff, Set.mem_finset_sum, Finset.mem_univ, forall_true_left,
segment_eq_image, smul_zero, zero_add, ← Set.pi_univ_Icc, Set.mem_univ_pi]
constructor
· rintro ⟨t, ht, rfl⟩
exact ⟨t • v, fun {i} => ⟨t i, ht _, by simp⟩, rfl⟩
rintro ⟨g, hg, rfl⟩
choose t ht hg using @hg
refine ⟨@t, @ht, ?_⟩
simp_rw [hg]
theorem convex_parallelepiped (v : ι → E) : Convex ℝ (parallelepiped v) := by
rw [parallelepiped_eq_sum_segment]
exact convex_sum _ fun _i _hi => convex_segment _ _
/-- A `parallelepiped` is the convex hull of its vertices -/
theorem parallelepiped_eq_convexHull (v : ι → E) :
parallelepiped v = convexHull ℝ (∑ i, {(0 : E), v i}) := by
simp_rw [convexHull_sum, convexHull_pair, parallelepiped_eq_sum_segment]
/-- The axis aligned parallelepiped over `ι → ℝ` is a cuboid. -/
theorem parallelepiped_single [DecidableEq ι] (a : ι → ℝ) :
(parallelepiped fun i => Pi.single i (a i)) = Set.uIcc 0 a := by
ext x
simp_rw [Set.uIcc, mem_parallelepiped_iff, Set.mem_Icc, Pi.le_def, ← forall_and, Pi.inf_apply,
Pi.sup_apply, ← Pi.single_smul', Pi.one_apply, Pi.zero_apply, ← Pi.smul_apply',
Finset.univ_sum_single (_ : ι → ℝ)]
constructor
· rintro ⟨t, ht, rfl⟩ i
specialize ht i
simp_rw [smul_eq_mul, Pi.mul_apply]
rcases le_total (a i) 0 with hai | hai
· rw [sup_eq_left.mpr hai, inf_eq_right.mpr hai]
exact ⟨le_mul_of_le_one_left hai ht.2, mul_nonpos_of_nonneg_of_nonpos ht.1 hai⟩
· rw [sup_eq_right.mpr hai, inf_eq_left.mpr hai]
exact ⟨mul_nonneg ht.1 hai, mul_le_of_le_one_left hai ht.2⟩
· intro h
refine ⟨fun i => x i / a i, fun i => ?_, funext fun i => ?_⟩
· specialize h i
rcases le_total (a i) 0 with hai | hai
· rw [sup_eq_left.mpr hai, inf_eq_right.mpr hai] at h
exact ⟨div_nonneg_of_nonpos h.2 hai, div_le_one_of_ge h.1 hai⟩
· rw [sup_eq_right.mpr hai, inf_eq_left.mpr hai] at h
exact ⟨div_nonneg h.1 hai, div_le_one_of_le₀ h.2 hai⟩
· specialize h i
simp only [smul_eq_mul, Pi.mul_apply]
rcases eq_or_ne (a i) 0 with hai | hai
· rw [hai, inf_idem, sup_idem, ← le_antisymm_iff] at h
rw [hai, ← h, zero_div, zero_mul]
· rw [div_mul_cancel₀ _ hai]
end AddCommGroup
section NormedSpace
variable [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedSpace ℝ E] [NormedSpace ℝ F]
/-- The parallelepiped spanned by a basis, as a compact set with nonempty interior. -/
def Basis.parallelepiped (b : Basis ι ℝ E) : PositiveCompacts E where
carrier := _root_.parallelepiped b
isCompact' := IsCompact.image isCompact_Icc
(continuous_finset_sum Finset.univ fun (i : ι) (_H : i ∈ Finset.univ) =>
(continuous_apply i).smul continuous_const)
interior_nonempty' := by
suffices H : Set.Nonempty (interior (b.equivFunL.symm.toHomeomorph '' Icc 0 1)) by
dsimp only [_root_.parallelepiped]
convert H
exact (b.equivFun_symm_apply _).symm
have A : Set.Nonempty (interior (Icc (0 : ι → ℝ) 1)) := by
rw [← pi_univ_Icc, interior_pi_set (@finite_univ ι _)]
simp only [univ_pi_nonempty_iff, Pi.zero_apply, Pi.one_apply, interior_Icc, nonempty_Ioo,
zero_lt_one, imp_true_iff]
rwa [← Homeomorph.image_interior, image_nonempty]
@[simp]
theorem Basis.coe_parallelepiped (b : Basis ι ℝ E) :
(b.parallelepiped : Set E) = _root_.parallelepiped b := rfl
@[simp]
theorem Basis.parallelepiped_reindex (b : Basis ι ℝ E) (e : ι ≃ ι') :
(b.reindex e).parallelepiped = b.parallelepiped :=
PositiveCompacts.ext <|
(congr_arg _root_.parallelepiped (b.coe_reindex e)).trans (parallelepiped_comp_equiv b e.symm)
theorem Basis.parallelepiped_map (b : Basis ι ℝ E) (e : E ≃ₗ[ℝ] F) :
(b.map e).parallelepiped = b.parallelepiped.map e
(haveI := FiniteDimensional.of_fintype_basis b
LinearMap.continuous_of_finiteDimensional e.toLinearMap)
(haveI := FiniteDimensional.of_fintype_basis (b.map e)
LinearMap.isOpenMap_of_finiteDimensional _ e.surjective) :=
PositiveCompacts.ext (image_parallelepiped e.toLinearMap _).symm
theorem Basis.prod_parallelepiped (v : Basis ι ℝ E) (w : Basis ι' ℝ F) :
(v.prod w).parallelepiped = v.parallelepiped.prod w.parallelepiped := by
ext x
simp only [Basis.coe_parallelepiped, TopologicalSpace.PositiveCompacts.coe_prod, Set.mem_prod,
mem_parallelepiped_iff]
constructor
· intro h
rcases h with ⟨t, ht1, ht2⟩
constructor
· use t ∘ Sum.inl
constructor
· exact ⟨(ht1.1 <| Sum.inl ·), (ht1.2 <| Sum.inl ·)⟩
simp [ht2, Prod.fst_sum, Prod.snd_sum]
· use t ∘ Sum.inr
constructor
· exact ⟨(ht1.1 <| Sum.inr ·), (ht1.2 <| Sum.inr ·)⟩
simp [ht2, Prod.fst_sum, Prod.snd_sum]
intro h
| rcases h with ⟨⟨t, ht1, ht2⟩, ⟨s, hs1, hs2⟩⟩
use Sum.elim t s
constructor
· constructor
· change ∀ x : ι ⊕ ι', 0 ≤ Sum.elim t s x
aesop
· change ∀ x : ι ⊕ ι', Sum.elim t s x ≤ 1
aesop
ext
· simp [ht2, Prod.fst_sum]
· simp [hs2, Prod.snd_sum]
variable [MeasurableSpace E] [BorelSpace E]
/-- The Lebesgue measure associated to a basis, giving measure `1` to the parallelepiped spanned
by the basis. -/
irreducible_def Basis.addHaar (b : Basis ι ℝ E) : Measure E :=
Measure.addHaarMeasure b.parallelepiped
instance IsAddHaarMeasure_basis_addHaar (b : Basis ι ℝ E) : IsAddHaarMeasure b.addHaar := by
rw [Basis.addHaar]; exact Measure.isAddHaarMeasure_addHaarMeasure _
instance (b : Basis ι ℝ E) : SigmaFinite b.addHaar := by
have : FiniteDimensional ℝ E := FiniteDimensional.of_fintype_basis b
rw [Basis.addHaar_def]; exact sigmaFinite_addHaarMeasure
/-- Let `μ` be a σ-finite left invariant measure on `E`. Then `μ` is equal to the Haar measure
defined by `b` iff the parallelepiped defined by `b` has measure `1` for `μ`. -/
theorem Basis.addHaar_eq_iff [SecondCountableTopology E] (b : Basis ι ℝ E) (μ : Measure E)
| Mathlib/MeasureTheory/Measure/Haar/OfBasis.lean | 232 | 260 |
/-
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.Group.Arithmetic
import Mathlib.Topology.GDelta.UniformSpace
import Mathlib.Topology.Instances.EReal.Lemmas
import Mathlib.Topology.Instances.Rat
/-!
# Borel (measurable) space
## Main definitions
* `borel α` : the least `σ`-algebra that contains all open sets;
* `class BorelSpace` : a space with `TopologicalSpace` and `MeasurableSpace` structures
such that `‹MeasurableSpace α› = borel α`;
* `class OpensMeasurableSpace` : a space with `TopologicalSpace` and `MeasurableSpace`
structures such that all open sets are measurable; equivalently, `borel α ≤ ‹MeasurableSpace α›`.
* `BorelSpace` instances on `Empty`, `Unit`, `Bool`, `Nat`, `Int`, `Rat`;
* `MeasurableSpace` and `BorelSpace` instances on `ℝ`, `ℝ≥0`, `ℝ≥0∞`.
## Main statements
* `IsOpen.measurableSet`, `IsClosed.measurableSet`: open and closed sets are measurable;
* `Continuous.measurable` : a continuous function is measurable;
* `Continuous.measurable2` : if `f : α → β` and `g : α → γ` are measurable and `op : β × γ → δ`
is continuous, then `fun x => op (f x, g y)` is measurable;
* `Measurable.add` etc : dot notation for arithmetic operations on `Measurable` predicates,
and similarly for `dist` and `edist`;
* `AEMeasurable.add` : similar dot notation for almost everywhere measurable functions;
-/
noncomputable section
open Filter MeasureTheory Set Topology
open scoped NNReal ENNReal MeasureTheory
universe u v w x y
variable {α β γ γ₂ δ : Type*} {ι : Sort y} {s t u : Set α}
open MeasurableSpace TopologicalSpace
/-- `MeasurableSpace` structure generated by `TopologicalSpace`. -/
def borel (α : Type u) [TopologicalSpace α] : MeasurableSpace α :=
generateFrom { s : Set α | IsOpen s }
theorem borel_anti : Antitone (@borel α) := fun _ _ h =>
MeasurableSpace.generateFrom_le fun _ hs => .basic _ (h _ hs)
theorem borel_eq_top_of_discrete [TopologicalSpace α] [DiscreteTopology α] : borel α = ⊤ :=
top_le_iff.1 fun s _ => GenerateMeasurable.basic s (isOpen_discrete s)
theorem borel_eq_generateFrom_of_subbasis {s : Set (Set α)} [t : TopologicalSpace α]
[SecondCountableTopology α] (hs : t = .generateFrom s) : borel α = .generateFrom s :=
le_antisymm
(generateFrom_le fun u (hu : t.IsOpen u) => by
rw [hs] at hu
induction hu with
| basic u hu => exact GenerateMeasurable.basic u hu
| univ => exact @MeasurableSet.univ α (generateFrom s)
| inter s₁ s₂ _ _ hs₁ hs₂ => exact @MeasurableSet.inter α (generateFrom s) _ _ hs₁ hs₂
| sUnion f hf ih =>
rcases isOpen_sUnion_countable f (by rwa [hs]) with ⟨v, hv, vf, vu⟩
rw [← vu]
exact @MeasurableSet.sUnion α (generateFrom s) _ hv fun x xv => ih _ (vf xv))
(generateFrom_le fun u hu =>
GenerateMeasurable.basic _ <| show t.IsOpen u by rw [hs]; exact GenerateOpen.basic _ hu)
theorem TopologicalSpace.IsTopologicalBasis.borel_eq_generateFrom [TopologicalSpace α]
[SecondCountableTopology α] {s : Set (Set α)} (hs : IsTopologicalBasis s) :
borel α = .generateFrom s :=
borel_eq_generateFrom_of_subbasis hs.eq_generateFrom
theorem isPiSystem_isOpen [TopologicalSpace α] : IsPiSystem ({s : Set α | IsOpen s}) :=
fun _s hs _t ht _ => IsOpen.inter hs ht
lemma isPiSystem_isClosed [TopologicalSpace α] : IsPiSystem ({s : Set α | IsClosed s}) :=
fun _s hs _t ht _ ↦ IsClosed.inter hs ht
theorem borel_eq_generateFrom_isClosed [TopologicalSpace α] :
borel α = .generateFrom { s | IsClosed s } :=
le_antisymm
(generateFrom_le fun _t ht =>
@MeasurableSet.of_compl α _ (generateFrom { s | IsClosed s })
(GenerateMeasurable.basic _ <| isClosed_compl_iff.2 ht))
(generateFrom_le fun _t ht =>
@MeasurableSet.of_compl α _ (borel α) (GenerateMeasurable.basic _ <| isOpen_compl_iff.2 ht))
theorem borel_comap {f : α → β} {t : TopologicalSpace β} :
@borel α (t.induced f) = (@borel β t).comap f :=
comap_generateFrom.symm
theorem Continuous.borel_measurable [TopologicalSpace α] [TopologicalSpace β] {f : α → β}
(hf : Continuous f) : @Measurable α β (borel α) (borel β) f :=
Measurable.of_le_map <|
generateFrom_le fun s hs => GenerateMeasurable.basic (f ⁻¹' s) (hs.preimage hf)
/-- A space with `MeasurableSpace` and `TopologicalSpace` structures such that
all open sets are measurable. -/
class OpensMeasurableSpace (α : Type*) [TopologicalSpace α] [h : MeasurableSpace α] : Prop where
/-- Borel-measurable sets are measurable. -/
borel_le : borel α ≤ h
/-- A space with `MeasurableSpace` and `TopologicalSpace` structures such that
the `σ`-algebra of measurable sets is exactly the `σ`-algebra generated by open sets. -/
class BorelSpace (α : Type*) [TopologicalSpace α] [MeasurableSpace α] : Prop where
/-- The measurable sets are exactly the Borel-measurable sets. -/
measurable_eq : ‹MeasurableSpace α› = borel α
namespace Mathlib.Tactic.Borelize
open Lean Elab Term Tactic Meta
/-- The behaviour of `borelize α` depends on the existing assumptions on `α`.
- if `α` is a topological space with instances `[MeasurableSpace α] [BorelSpace α]`, then
`borelize α` replaces the former instance by `borel α`;
- otherwise, `borelize α` adds instances `borel α : MeasurableSpace α` and `⟨rfl⟩ : BorelSpace α`.
Finally, `borelize α β γ` runs `borelize α; borelize β; borelize γ`.
-/
syntax "borelize" (ppSpace colGt term:max)* : tactic
/-- Add instances `borel e : MeasurableSpace e` and `⟨rfl⟩ : BorelSpace e`. -/
def addBorelInstance (e : Expr) : TacticM Unit := do
let t ← Lean.Elab.Term.exprToSyntax e
evalTactic <| ← `(tactic|
refine_lift
letI : MeasurableSpace $t := borel $t
haveI : BorelSpace $t := ⟨rfl⟩
?_)
/-- Given a type `e`, an assumption `i : MeasurableSpace e`, and an instance `[BorelSpace e]`,
replace `i` with `borel e`. -/
def borelToRefl (e : Expr) (i : FVarId) : TacticM Unit := do
let te ← Lean.Elab.Term.exprToSyntax e
evalTactic <| ← `(tactic|
have := @BorelSpace.measurable_eq $te _ _ _)
try
liftMetaTactic fun m => return [← subst m i]
catch _ =>
let et ← synthInstance (← mkAppOptM ``TopologicalSpace #[e])
throwError m!"\
`‹TopologicalSpace {e}› := {et}\n\
depends on\n\
{Expr.fvar i} : MeasurableSpace {e}`\n\
so `borelize` isn't available"
evalTactic <| ← `(tactic|
refine_lift
letI : MeasurableSpace $te := borel $te
?_)
/-- Given a type `$t`, if there is an assumption `[i : MeasurableSpace $t]`, then try to prove
`[BorelSpace $t]` and replace `i` with `borel $t`. Otherwise, add instances
`borel $t : MeasurableSpace $t` and `⟨rfl⟩ : BorelSpace $t`. -/
def borelize (t : Term) : TacticM Unit := withMainContext <| do
let u ← mkFreshLevelMVar
let e ← withoutRecover <| Tactic.elabTermEnsuringType t (mkSort (mkLevelSucc u))
let i? ← findLocalDeclWithType? (← mkAppOptM ``MeasurableSpace #[e])
i?.elim (addBorelInstance e) (borelToRefl e)
elab_rules : tactic
| `(tactic| borelize $[$t:term]*) => t.forM borelize
end Mathlib.Tactic.Borelize
instance (priority := 100) OrderDual.opensMeasurableSpace {α : Type*} [TopologicalSpace α]
[MeasurableSpace α] [h : OpensMeasurableSpace α] : OpensMeasurableSpace αᵒᵈ where
borel_le := h.borel_le
instance (priority := 100) OrderDual.borelSpace {α : Type*} [TopologicalSpace α]
[MeasurableSpace α] [h : BorelSpace α] : BorelSpace αᵒᵈ where
measurable_eq := h.measurable_eq
/-- In a `BorelSpace` all open sets are measurable. -/
instance (priority := 100) BorelSpace.opensMeasurable {α : Type*} [TopologicalSpace α]
[MeasurableSpace α] [BorelSpace α] : OpensMeasurableSpace α :=
⟨ge_of_eq <| BorelSpace.measurable_eq⟩
instance Subtype.borelSpace {α : Type*} [TopologicalSpace α] [MeasurableSpace α]
[hα : BorelSpace α] (s : Set α) : BorelSpace s :=
⟨by borelize α; symm; apply borel_comap⟩
instance Countable.instBorelSpace [Countable α] [MeasurableSpace α] [MeasurableSingletonClass α]
[TopologicalSpace α] [DiscreteTopology α] : BorelSpace α := by
have : ∀ s, @MeasurableSet α inferInstance s := fun s ↦ s.to_countable.measurableSet
have : ∀ s, @MeasurableSet α (borel α) s := fun s ↦ measurableSet_generateFrom (isOpen_discrete s)
exact ⟨by aesop⟩
instance Subtype.opensMeasurableSpace {α : Type*} [TopologicalSpace α] [MeasurableSpace α]
[h : OpensMeasurableSpace α] (s : Set α) : OpensMeasurableSpace s :=
⟨by
rw [borel_comap]
exact comap_mono h.1⟩
lemma opensMeasurableSpace_iff_forall_measurableSet
[TopologicalSpace α] [MeasurableSpace α] :
OpensMeasurableSpace α ↔ (∀ (s : Set α), IsOpen s → MeasurableSet s) := by
refine ⟨fun h s hs ↦ ?_, fun h ↦ ⟨generateFrom_le h⟩⟩
exact OpensMeasurableSpace.borel_le _ <| GenerateMeasurable.basic _ hs
instance (priority := 100) BorelSpace.countablyGenerated {α : Type*} [TopologicalSpace α]
[MeasurableSpace α] [BorelSpace α] [SecondCountableTopology α] : CountablyGenerated α := by
obtain ⟨b, bct, -, hb⟩ := exists_countable_basis α
refine ⟨⟨b, bct, ?_⟩⟩
borelize α
exact hb.borel_eq_generateFrom
section
variable [TopologicalSpace α] [MeasurableSpace α] [OpensMeasurableSpace α] [TopologicalSpace β]
[MeasurableSpace β] [OpensMeasurableSpace β] [TopologicalSpace γ] [MeasurableSpace γ]
[BorelSpace γ] [TopologicalSpace γ₂] [MeasurableSpace γ₂] [BorelSpace γ₂] [MeasurableSpace δ]
theorem IsOpen.measurableSet (h : IsOpen s) : MeasurableSet s :=
OpensMeasurableSpace.borel_le _ <| GenerateMeasurable.basic _ h
theorem IsOpen.nullMeasurableSet {μ} (h : IsOpen s) : NullMeasurableSet s μ :=
h.measurableSet.nullMeasurableSet
open scoped Function in -- required for scoped `on` notation
@[elab_as_elim]
theorem MeasurableSet.induction_on_open {C : ∀ s : Set γ, MeasurableSet s → Prop}
(isOpen : ∀ U (hU : IsOpen U), C U hU.measurableSet)
(compl : ∀ t (ht : MeasurableSet t), C t ht → C tᶜ ht.compl)
(iUnion : ∀ f : ℕ → Set γ, Pairwise (Disjoint on f) → ∀ (hf : ∀ i, MeasurableSet (f i)),
(∀ i, C (f i) (hf i)) → C (⋃ i, f i) (.iUnion hf)) :
∀ t (ht : MeasurableSet t), C t ht := fun t ht ↦
MeasurableSpace.induction_on_inter BorelSpace.measurable_eq isPiSystem_isOpen
(isOpen _ isOpen_empty) isOpen compl iUnion t ht
instance (priority := 1000) {s : Set α} [h : HasCountableSeparatingOn α IsOpen s] :
CountablySeparated s := by
rw [CountablySeparated.subtype_iff]
exact .mono (fun _ ↦ IsOpen.measurableSet) Subset.rfl
@[measurability]
theorem measurableSet_interior : MeasurableSet (interior s) :=
isOpen_interior.measurableSet
theorem IsGδ.measurableSet (h : IsGδ s) : MeasurableSet s := by
rcases h with ⟨S, hSo, hSc, rfl⟩
exact MeasurableSet.sInter hSc fun t ht => (hSo t ht).measurableSet
theorem measurableSet_of_continuousAt {β} [PseudoEMetricSpace β] (f : α → β) :
MeasurableSet { x | ContinuousAt f x } :=
(IsGδ.setOf_continuousAt f).measurableSet
theorem IsClosed.measurableSet (h : IsClosed s) : MeasurableSet s :=
h.isOpen_compl.measurableSet.of_compl
theorem IsClosed.nullMeasurableSet {μ} (h : IsClosed s) : NullMeasurableSet s μ :=
h.measurableSet.nullMeasurableSet
theorem IsCompact.measurableSet [T2Space α] (h : IsCompact s) : MeasurableSet s :=
h.isClosed.measurableSet
theorem IsCompact.nullMeasurableSet [T2Space α] {μ} (h : IsCompact s) : NullMeasurableSet s μ :=
h.isClosed.nullMeasurableSet
/-- If two points are topologically inseparable,
then they can't be separated by a Borel measurable set. -/
theorem Inseparable.mem_measurableSet_iff {x y : γ} (h : Inseparable x y) {s : Set γ}
(hs : MeasurableSet s) : x ∈ s ↔ y ∈ s :=
MeasurableSet.induction_on_open (fun _ ↦ h.mem_open_iff) (fun _ _ ↦ Iff.not)
(fun _ _ _ h ↦ by simp [h]) s hs
/-- If `K` is a compact set in an R₁ space and `s ⊇ K` is a Borel measurable superset,
then `s` includes the closure of `K` as well. -/
theorem IsCompact.closure_subset_measurableSet [R1Space γ] {K s : Set γ} (hK : IsCompact K)
(hs : MeasurableSet s) (hKs : K ⊆ s) : closure K ⊆ s := by
rw [hK.closure_eq_biUnion_inseparable, iUnion₂_subset_iff]
exact fun x hx y hy ↦ (hy.mem_measurableSet_iff hs).1 (hKs hx)
/-- In an R₁ topological space with Borel measure `μ`,
the measure of the closure of a compact set `K` is equal to the measure of `K`.
See also `MeasureTheory.Measure.OuterRegular.measure_closure_eq_of_isCompact`
for a version that assumes `μ` to be outer regular
but does not assume the `σ`-algebra to be Borel. -/
theorem IsCompact.measure_closure [R1Space γ] {K : Set γ} (hK : IsCompact K) (μ : Measure γ) :
μ (closure K) = μ K := by
refine le_antisymm ?_ (measure_mono subset_closure)
calc
μ (closure K) ≤ μ (toMeasurable μ K) := measure_mono <|
hK.closure_subset_measurableSet (measurableSet_toMeasurable ..) (subset_toMeasurable ..)
_ = μ K := measure_toMeasurable ..
@[measurability]
theorem measurableSet_closure : MeasurableSet (closure s) :=
isClosed_closure.measurableSet
theorem measurable_of_isOpen {f : δ → γ} (hf : ∀ s, IsOpen s → MeasurableSet (f ⁻¹' s)) :
Measurable f := by
rw [‹BorelSpace γ›.measurable_eq]
exact measurable_generateFrom hf
theorem measurable_of_isClosed {f : δ → γ} (hf : ∀ s, IsClosed s → MeasurableSet (f ⁻¹' s)) :
Measurable f := by
apply measurable_of_isOpen; intro s hs
rw [← MeasurableSet.compl_iff, ← preimage_compl]; apply hf; rw [isClosed_compl_iff]; exact hs
theorem measurable_of_isClosed' {f : δ → γ}
(hf : ∀ s, IsClosed s → s.Nonempty → s ≠ univ → MeasurableSet (f ⁻¹' s)) : Measurable f := by
apply measurable_of_isClosed; intro s hs
rcases eq_empty_or_nonempty s with h1 | h1
· simp [h1]
by_cases h2 : s = univ
· simp [h2]
exact hf s hs h1 h2
instance nhds_isMeasurablyGenerated (a : α) : (𝓝 a).IsMeasurablyGenerated := by
rw [nhds, iInf_subtype']
refine @Filter.iInf_isMeasurablyGenerated α _ _ _ fun i => ?_
exact i.2.2.measurableSet.principal_isMeasurablyGenerated
/-- If `s` is a measurable set, then `𝓝[s] a` is a measurably generated filter for
each `a`. This cannot be an `instance` because it depends on a non-instance `hs : MeasurableSet s`.
-/
theorem MeasurableSet.nhdsWithin_isMeasurablyGenerated {s : Set α} (hs : MeasurableSet s) (a : α) :
(𝓝[s] a).IsMeasurablyGenerated :=
haveI := hs.principal_isMeasurablyGenerated
Filter.inf_isMeasurablyGenerated _ _
instance (priority := 100) OpensMeasurableSpace.separatesPoints [T0Space α] :
SeparatesPoints α := by
rw [separatesPoints_iff]
intro x y hxy
apply Inseparable.eq
rw [inseparable_iff_forall_isOpen]
exact fun s hs => hxy _ hs.measurableSet
theorem borel_eq_top_of_countable {α : Type*} [TopologicalSpace α] [T0Space α] [Countable α] :
borel α = ⊤ := by
| refine top_unique fun s _ ↦ ?_
borelize α
exact .of_discrete
-- see Note [lower instance priority]
instance (priority := 100) OpensMeasurableSpace.toMeasurableSingletonClass [T1Space α] :
MeasurableSingletonClass α :=
⟨fun _ => isClosed_singleton.measurableSet⟩
| Mathlib/MeasureTheory/Constructions/BorelSpace/Basic.lean | 339 | 346 |
/-
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
/-!
# 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.primeFactorsList.pmap (fun p pp => @legendreSym p ⟨pp⟩ a) fun _ pf =>
prime_of_mem_primeFactorsList pf).prod
-- Notation for the Jacobi symbol.
@[inherit_doc]
scoped[NumberTheorySymbols] notation "J(" a " | " b ")" => jacobiSym a b
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, primeFactorsList_zero, List.prod_nil, List.pmap]
/-- The symbol `J(a | 1)` has the value `1`. -/
@[simp]
theorem one_right (a : ℤ) : J(a | 1) = 1 := by
simp only [jacobiSym, primeFactorsList_one, List.prod_nil, List.pmap]
/-- 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, primeFactorsList_prime fp.1, List.prod_cons, List.prod_nil, mul_one,
List.pmap]
/-- 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_primeFactorsList_mul hb₁ hb₂).pmap _).prod_eq, List.pmap_append,
List.prod_append]
pick_goal 2
· exact fun p hp =>
(List.mem_append.mp hp).elim prime_of_mem_primeFactorsList prime_of_mem_primeFactorsList
· rfl
/-- 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)
/-- 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 :=
((MonoidHom.mrange (@SignType.castHom ℤ _ _).toMonoidHom).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_primeFactorsList hp⟩
exact quadraticChar_isQuadratic (ZMod p) a)
/-- The symbol `J(1 | b)` has the value `1`. -/
@[simp]
theorem one_left (b : ℕ) : J(1 | b) = 1 :=
| Mathlib/NumberTheory/LegendreSymbol/JacobiSymbol.lean | 136 | 144 |
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